Merged Conference Papers

Generated from the Conference database.

ACL 2020

Title	Author	PDF_Link	Code_URL
2kenize: Tying Subword Sequences for Chinese Script Conversion	Pranav A and Isabelle Augenstein	N/A	N/A
A Batch Normalized Inference Network Keeps the KL Vanishing Away	Qile Zhu, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li and Dapeng Wu	N/A	N/A
A Call for More Rigor in Unsupervised Cross-lingual Learning	Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka and Eneko Agirre	N/A	N/A
A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks	Nastaran Babanejad, Ameeta Agrawal, Aijun An and Manos Papagelis	N/A	N/A
A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking	Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu and Jie Zhou	N/A	N/A
A Corpus for Large-Scale Phonetic Typology	Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W Black and Jason Eisner	N/A	N/A
A Formal Hierarchy of RNN Architectures	William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith and Eran Yahav	N/A	N/A
A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization	Dongfang Xu, Zeyu Zhang and Steven Bethard	N/A	N/A
A Generative Model for Joint Natural Language Understanding and Generation	Bo-Hsiang Tseng, Jianpeng Cheng, Yimai Fang and David Vandyke	N/A	N/A
A Girl Has A Name: Detecting Authorship Obfuscation	Asad Mahmood, Zubair Shafiq and Padmini Srinivasan	N/A	N/A
A Graph Auto-encoder Model of Derivational Morphology	Valentin Hofmann, Hinrich Schütze and Janet Pierrehumbert	N/A	N/A
A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction	Shuo Ren, Shujie Liu, Ming Zhou and Shuai Ma	N/A	N/A
A Joint Model for Document Segmentation and Segment Labeling	Joe Barrow, Rajiv Jain, Vlad Morariu, Varun Manjunatha, Douglas Oard and Philip Resnik	N/A	N/A
A Joint Neural Model for Information Extraction with Global Features	Ying Lin, Heng Ji, Fei Huang and Lingfei Wu	N/A	N/A
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation	Jan Deriu, Katsiaryna Mlynchyk, Philippe Schläpfer, Alvaro Rodrigo, Dirk von Grünigen, Nicolas Kaiser, Kurt Stockinger, Eneko Agirre and Mark Cieliebak	N/A	N/A
A Mixture of h − 1 Heads is Better than h Heads	Hao Peng, Roy Schwartz, Dianqi Li and Noah A. Smith	N/A	N/A
A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages	Pedro Javier Ortiz Suárez, Laurent Romary and Benoît Sagot	N/A	N/A
A Multitask Learning Approach for Diacritic Restoration	Sawsan Alqahtani, Ajay Mishra and Mona Diab	N/A	N/A
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction	Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian and Yi Chang	N/A	N/A
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation	Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou and Jiebo Luo	N/A	N/A
A Prioritization Model for Suicidality Risk Assessment	Han-Chin Shing, Philip Resnik and Douglas Oard	N/A	N/A
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks	Angela Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey and Bill Dolan	N/A	N/A
A Reinforced Generation of Adversarial Examples for Neural Machine Translation	Wei Zou, Shujian Huang, Jun Xie, Xinyu Dai and Jiajun Chen	N/A	N/A
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction	Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu and Minlie Huang	N/A	N/A
A Span-based Linearization for Constituent Trees	Yang Wei, Yuanbin Wu and Man Lan	N/A	N/A
A Study of Non-autoregressive Model for Sequence Generation	Yi Ren, Jinglin Liu, Xu Tan, Zhou Zhao, Sheng Zhao and Tie-Yan Liu	N/A	N/A
A Systematic Assessment of Syntactic Generalization in Neural Language Models	Jennifer Hu, Jon Gauthier, Peng Qian, Ethan Wilcox and Roger Levy	N/A	N/A
A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer’s Type	Trevor Cohen and Serguei Pakhomov	N/A	N/A
A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure	Longyin Zhang, Yuqing Xing, Fang Kong, Peifeng Li and Guodong Zhou	N/A	N/A
A Unified MRC Framework for Named Entity Recognition	Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu and Jiwei Li	N/A	N/A
Adaptive Compression of Word Embeddings	Yeachan Kim, Kang-Min Kim and SangKeun Lee	N/A	N/A
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation	Arya D. McCarthy, Xian Li, Jiatao Gu and Ning Dong	N/A	N/A
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation	Yong Cheng, Lu Jiang, Wolfgang Macherey and Jacob Eisenstein	N/A	N/A
Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis	Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi and Jianxin Liao	N/A	N/A
Adversarial NLI: A New Benchmark for Natural Language Understanding	Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston and Douwe Kiela	N/A	N/A
Agreement Prediction of Arguments in Cyber Argumentation for Detecting Stance Polarity and Intensity	Joseph Sirrianni, Xiaoqing Liu and Douglas Adams	N/A	N/A
Aligned Dual Channel Graph Convolutional Network for Visual Question Answering	Qingbao Huang, Jielong Wei, Yi Cai, Changmeng Zheng, Junying Chen, Ho-fung Leung and Qing Li	N/A	N/A
Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification	Pratik Dutta and Sriparna Saha	N/A	N/A
AMR Parsing via Graph-Sequence Iterative Inference	Deng Cai and Wai Lam	N/A	N/A
AMR Parsing with Latent Structural Information	Qiji Zhou, Yue Zhang, Donghong Ji and Hao Tang	N/A	N/A
An analysis of the utility of explicit negative examples to improve the syntactic abilities of neural language models	Hiroshi Noji and Hiroya Takamura	N/A	N/A
An Effective Transition-based Model for Discontinuous NER	Xiang Dai, Sarvnaz Karimi, Ben Hachey and Cecile Paris	N/A	N/A
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results	Enrique Amigo, Julio Gonzalo, Stefano Mizzaro and Jorge Carrillo-de-Albornoz	N/A	N/A
An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering	Jay Kumar, Junming Shao, Salah Uddin and Wazir Ali	N/A	N/A
Analysing Lexical Semantic Change with Contextualised Word Representations	Mario Giulianelli, Marco Del Tredici and Raquel Fernández	N/A	N/A
Analyzing analytical methods: The case of phonology in neural models of spoken language	Grzegorz Chrupała, Bertrand Higy and Afra Alishahi	N/A	N/A
Analyzing Political Parody in Social Media	Antonios Maronikolakis, Danae Sánchez Villegas, Daniel Preotiuc-Pietro and Nikolaos Aletras	N/A	N/A
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition	Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan and Adina Williams	N/A	N/A
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries	Alex Wang, Kyunghyun Cho and Mike Lewis	N/A	N/A
Aspect Sentiment Classification with Document-level Sentiment Preference Modeling	Xiao Chen, Changlong Sun, Jingjing Wang, Shoushan Li, Luo Si, Min Zhang and Guodong Zhou	N/A	N/A
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations	Fernando Alva-Manchego, Louis Martin, Antoine Bordes, Carolina Scarton, Benoît Sagot and Lucia Specia	N/A	N/A
Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization	Junnan Zhu, Yu Zhou, Jiajun Zhang and Chengqing Zong	N/A	N/A
Attentive Pooling with Learnable Norms for Text Representation	Chuhan Wu, Fangzhao Wu, Tao Qi, Xiaohui Cui and Yongfeng Huang	N/A	N/A
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics	Guy Emerson	N/A	N/A
Automated Evaluation of Writing – 50 Years and Counting	Beata Beigman Klebanov and Nitin Madnani	N/A	N/A
Automatic Detection of Generated Text is Easiest when Humans are Fooled	Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch and Douglas Eck	N/A	N/A
Automatic Generation of Citation Texts in Scholarly Papers: A Pilot Study	Xinyu Xing, Xiaosheng Fan and Xiaojun Wan	N/A	N/A
Automatic Poetry Generation from Prosaic Text	Tim Van de Cruys	N/A	N/A
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps	Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie and Fei Sha	N/A	N/A
Balancing Objectives in Counseling Conversations: Advancing Forwards or Looking Backwards	Justine Zhang and Cristian Danescu-Niculescu-Mizil	N/A	N/A
Balancing Training for Multilingual Neural Machine Translation	Xinyi Wang, Yulia Tsvetkov and Graham Neubig	N/A	N/A
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension	Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov and Luke Zettlemoyer	N/A	N/A
Benchmarking Multimodal Regex Synthesis with Complex Structures	Xi Ye, Qiaochu Chen, Isil Dillig and Greg Durrett	N/A	N/A
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance	Timo Schick and Hinrich Schütze	N/A	N/A
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList	Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin and Sameer Singh	N/A	N/A
Beyond Possession Existence: Duration and Co-Possession	Dhivya Chinnappa, Srikala Murugan and Eduardo Blanco	N/A	N/A
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation	Weixin Liang, James Zou and Zhou Yu	N/A	N/A
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences	Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo and Yue Zhang	N/A	N/A
Biomedical Entity Representations with Synonym Marginalization	Mujeen Sung, Hwisang Jeon, Jinhyuk Lee and Jaewoo Kang	N/A	N/A
Bipartite Flat-Graph Network for Nested Named Entity Recognition	Ying Luo and Hai Zhao	N/A	N/A
BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection	Chengyu Wang and Xiaofeng He	N/A	N/A
BLEURT: Learning Robust Metrics for Text Generation	Thibault Sellam, Dipanjan Das and Ankur Parikh	N/A	N/A
Boosting Neural Machine Translation with Similar Translations	Jitao XU, Josep Crego and Jean Senellart	N/A	N/A
Bootstrapping Techniques for Polysynthetic Morphological Analysis	William Lane and Steven Bird	N/A	N/A
BPE-Dropout: Simple and Effective Subword Regularization	Ivan Provilkov, Dmitrii Emelianenko and Elena Voita	N/A	N/A
Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information	Michele Bevilacqua and Roberto Navigli	N/A	N/A
Bridging Anaphora Resolution as Question Answering	Yufang Hou	N/A	N/A
Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation	Chao Zhao, Marilyn Walker and Snigdha Chaturvedi	N/A	N/A
Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell	Djamé Seddah, Farah Essaidi, Amal Fethi, Matthieu Futeral, Benjamin Muller, Pedro Javier Ortiz Suárez, Benoît Sagot and Abhishek Srivastava	N/A	N/A
Calibrating Structured Output Predictors for Natural Language Processing	Abhyuday Jagannatha and Hong Yu	N/A	N/A
CamemBERT: a Tasty French Language Model	Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric de la Clergerie, Djamé Seddah and Benoît Sagot	N/A	N/A
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction	Samuel Broscheit, Kiril Gashteovski, Yanjie Wang and Rainer Gemulla	N/A	N/A
Can You Put it All Together: Evaluating Conversational Agents’ Ability to Blend Skills	Eric Michael Smith, Mary Williamson, Kurt Shuster, Jason Weston and Y-Lan Boureau	N/A	N/A
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation	Lei Shen and Yang Feng	N/A	N/A
ChartDialogs: Plotting from Natural Language Instructions	Yutong Shao and Ndapa Nakashole	N/A	N/A
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality	Wenmeng Yu, Hua Xu, Fanyang Meng, Yilin Zhu, Yixiao Ma, Jiele Wu, Jiyun Zou and Kaicheng Yang	N/A	N/A
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data	Emily M. Bender and Alexander Koller	N/A	N/A
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset	Xiang Yue, Bernal Jimenez Gutierrez and Huan Sun	N/A	N/A
CluBERT: A Cluster-Based Approach for Learning Sense Distributions in Multiple Languages	Tommaso Pasini, Federico Scozzafava and Bianca Scarlini	N/A	N/A
CluHTM - Semantic Hierarchical Topic Modeling based on CluWords	Felipe Viegas, Washington Cunha, Christian Gomes, Antônio Pereira, Leonardo Rocha and Marcos Goncalves	N/A	N/A
Code and Named Entity Recognition in StackOverflow	Jeniya Tabassum, Mounica Maddela, Wei Xu and Alan Ritter	N/A	N/A
CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning	Alessandro Suglia, Ioannis Konstas, Andrea Vanzo, Emanuele Bastianelli, Desmond Elliott, Stella Frank and Oliver Lemon	N/A	N/A
Compositionality and Generalization In Emergent Languages	Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt, Emmanuel Dupoux and Marco Baroni	N/A	N/A
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation	Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling and Yan Song	N/A	N/A
Connecting Embeddings for Knowledge Graph Entity Typing	Yu Zhao, anxiang zhang, Ruobing Xie, Kang Liu and Xiaojie WANG	N/A	N/A
Contextualized Weak Supervision for Text Classification	Dheeraj Mekala and Jingbo Shang	N/A	N/A
Continual Relation Learning via Episodic Memory Activation and Reconsolidation	Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun and Jie Zhou	N/A	N/A
Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation	Jun Xu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che and Ting Liu	N/A	N/A
CorefQA: Coreference Resolution as Query-based Span Prediction	Wei Wu, Fei Wang, Arianna Yuan, Fei Wu and Jiwei Li	N/A	N/A
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation	Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang and Haitao Zheng	N/A	N/A
CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant	Kavya Srinet, Yacine Jernite, Jonathan Gray and Arthur Szlam	N/A	N/A
Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus	Hao Fei, Meishan Zhang and Donghong Ji	N/A	N/A
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning	Hongliang Fei and Ping Li	N/A	N/A
Cross-Linguistic Syntactic Evaluation of Word Prediction Models	Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina and Tal Linzen	N/A	N/A
Cross-media Structured Common Space for Multimedia Event Extraction	Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji and Shih-Fu Chang	N/A	N/A
Cross-modal Coherence Modeling for Caption Generation	Malihe Alikhani, Piyush Sharma, Shengjie Li, Radu Soricut and Matthew Stone	N/A	N/A
Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage	Ashish V. Thapliyal and Radu Soricut	N/A	N/A
Cross-Modality Relevance for Reasoning on Language and Vision	Chen Zheng, Quan Guo and Parisa Kordjamshidi	N/A	N/A
Curriculum Learning for Natural Language Understanding	Benfeng Xu, Licheng Zhang, Zhendong Mao, Quan Wang, Hongtao Xie and Yongdong Zhang	N/A	N/A
Curriculum Pre-training for End-to-End Speech Translation	Chengyi Wang, Yu Wu, Shujie Liu, Ming Zhou and Zhenglu Yang	N/A	N/A
Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight	Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao and Dawei Yin	N/A	N/A
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering	Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian and Niranjan Balasubramanian	N/A	N/A
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting	Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu and Tiejun Zhao	N/A	N/A
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA	Hyounghun Kim, Zineng Tang and Mohit Bansal	N/A	N/A
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification	Hao Tang, Donghong Ji, Chenliang Li and Qiji Zhou	N/A	N/A
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking	Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona Diab and Smaranda Muresan	N/A	N/A
Detecting Perceived Emotions in Hurricane Disasters	Shrey Desai, Cornelia Caragea and Junyi Jessy Li	N/A	N/A
Dialogue Coherence Assessment Without Explicit Dialogue Act Labels	Mohsen Mesgar, Sebastian Bücker and Iryna Gurevych	N/A	N/A
Dialogue-Based Relation Extraction	Dian Yu, Kai Sun, Claire Cardie and Dong Yu	N/A	N/A
Dice Loss for Data-imbalanced NLP Tasks	Xiaoya Li, Xiaofei Sun, Yuxian Meng, Junjun Liang, Fei Wu and Jiwei Li	N/A	N/A
Differentiable Window for Dynamic Local Attention	Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty and Xiaoli Li	N/A	N/A
Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event	Prafulla Kumar Choubey, Aaron Lee, Ruihong Huang and Lu Wang	N/A	N/A
Discourse-Aware Neural Extractive Text Summarization	Jiacheng Xu, Zhe Gan, Yu Cheng and Jingjing Liu	N/A	N/A
Discrete Latent Variable Representations for Low-Resource Text Classification	Shuning Jin, Sam Wiseman, Karl Stratos and Karen Livescu	N/A	N/A
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction	Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova and Katja Markert	N/A	N/A
Distilling Annotations via Active Imitation Learning	Kianté Brantley, Hal Daumé III and Amr Sharaf	N/A	N/A
Distilling Knowledge Learned in BERT for Text Generation	Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu and Jingjing Liu	N/A	N/A
Distinguish Confusing Law Articles for Legal Judgment Prediction	Nuo Xu, Pinghui Wang, Long Chen, Li Pan, Xiaoyan Wang and Junzhou Zhao	N/A	N/A
Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness	Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou and Zhonghai Wu	N/A	N/A
Diversifying Dialogue Generation with Non-Conversational Text	Hui Su, Xiaoyu Shen, Sanqiang Zhao, Zhou Xiao, Pengwei Hu, Randy Zhong, Cheng Niu and Jie Zhou	N/A	N/A
Do Neural Language Models Show Preferences for Syntactic Formalisms?	Artur Kulmizev, Vinit Ravishankar, Mostafa Abdou and Joakim Nivre	N/A	N/A
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?	Hitomi Yanaka, Koji Mineshima, Daisuke Bekki and Kentaro Inui	N/A	N/A
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension	Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou and Ting Liu	N/A	N/A
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain	Shadi Saleh and Pavel Pecina	N/A	N/A
Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding	Xinya Du and Claire Cardie	N/A	N/A
Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training	Margaret Li, Stephen Roller, Ilia Kulikov, Sean Welleck, Y-Lan Boureau, Kyunghyun Cho and Jason Weston	N/A	N/A
Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks	Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey and Noah A. Smith	N/A	N/A
DoQA - Accessing Domain-Specific FAQs via Conversational QA	Jon Ander Campos, Arantxa Otegi, Aitor Soroa, Jan Deriu, Mark Cieliebak and Eneko Agirre	N/A	N/A
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation	Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez and Caiming Xiong	N/A	N/A
DRTS Parsing with Structure-Aware Encoding and Decoding	Qiankun Fu, Yue Zhang, Jiangming Liu and Meishan Zhang	N/A	N/A
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification	Lianwei Wu, Yuan Rao, Yongqiang Zhao, Hao Liang and Ambreen Nazir	N/A	N/A
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog	Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang and Ting Liu	N/A	N/A
Dynamic Online Conversation Recommendation	Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao and Kam-Fai Wong	N/A	N/A
Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation	Xuanli He, Gholamreza Haffari and Mohammad Norouzi	N/A	N/A
ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction	Zixiang Ding, Rui Xia and Jianfei Yu	N/A	N/A
Effective Estimation of Deep Generative Language Models	Tom Pelsmaeker and Wilker Aziz	N/A	N/A
Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction	Penghui Wei, Jiahao Zhao and Wenji Mao	N/A	N/A
Efficient Constituency Parsing by Pointing	Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty and Xiaoli Li	N/A	N/A
Efficient Dialogue State Tracking by Selectively Overwriting Memory	Sungdong Kim, Sohee Yang, Gyuwan Kim and Sang-Woo Lee	N/A	N/A
Efficient Pairwise Annotation of Argument Quality	Lukas Gienapp, Benno Stein, Matthias Hagen and Martin Potthast	N/A	N/A
Efficient Second-Order TreeCRF for Neural Dependency Parsing	Yu Zhang, Zhenghua Li and Min Zhang	N/A	N/A
Emergence of Syntax Needs Minimal Supervision	Raphaël Bailly and Kata Gábor	N/A	N/A
Emerging Cross-lingual Structure in Pretrained Language Models	Alexis Conneau, Shijie Wu, Haoran Li, Luke Zettlemoyer and Veselin Stoyanov	N/A	N/A
Empower Entity Set Expansion via Language Model Probing	Yunyi Zhang, Jiaming Shen, Jingbo Shang and Jiawei Han	N/A	N/A
Empowering Active Learning to Jointly Optimize System and User Demands	Ji-Ung Lee, Christian M. Meyer and Iryna Gurevych	N/A	N/A
End-to-End Bias Mitigation by Modelling Biases in Corpora	Rabeeh Karimi Mahabadi, Yonatan Belinkov and James Henderson	N/A	N/A
End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2	Donghoon Ham, Jeong-Gwan Lee, Youngsoo Jang and Kee-Eung Kim	N/A	N/A
End-to-End Neural Word Alignment Outperforms GIZA++	Thomas Zenkel, Joern Wuebker and John DeNero	N/A	N/A
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension	Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu and Daxin Jiang	N/A	N/A
Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge	Bowen Zhang, Min Yang, Xutao Li, Yunming Ye, Xiaofei Xu and Kuai Dai	N/A	N/A
ERASER: A Benchmark to Evaluate Rationalized NLP Models	Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher and Byron C. Wallace	N/A	N/A
ESPRIT: Explaining Solutions to Physical Reasoning Tasks	Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher and Dragomir Radev	N/A	N/A
Estimating predictive uncertainty for rumour verification models	Elena Kochkina and Maria Liakata	N/A	N/A
Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks	Fynn Schröder and Chris Biemann	N/A	N/A
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples	Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, Cho-Jui Hsieh, Minhao Cheng and Xuanjing Huang	N/A	N/A
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?	Peter Hase and Mohit Bansal	N/A	N/A
Evaluating Explanation Methods for Neural Machine Translation	Jierui Li, Lemao Liu, Huayang Li, Guanlin Li, Guoping Huang and Shuming Shi	N/A	N/A
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder	Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang and Ming Zhou	N/A	N/A
Exact yet Efficient Graph Parsing, Bi-directional Locality and the Constructivist Hypothesis	Yajie Ye and Weiwei Sun	N/A	N/A
Examining Citations of Natural Language Processing Literature	Saif M. Mohammad	N/A	N/A
Examining the State-of-the-Art in News Timeline Summarization	Demian Gholipour Ghalandari and Georgiana Ifrim	N/A	N/A
Exclusive Hierarchical Decoding for Deep Keyphrase Generation	Wang Chen, Hou Pong Chan, Piji Li and Irwin King	N/A	N/A
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen	Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu and Tat-Seng Chua	N/A	N/A
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions	Xiaochuang Han, Byron C. Wallace and Yulia Tsvetkov	N/A	N/A
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading	Yifan Gao, Chien-Sheng Wu, Shafiq Joty, Caiming Xiong, Richard Socher, Irwin King, Michael Lyu and Steven C.H. Hoi	N/A	N/A
Explicit Semantic Decomposition for Definition Generation	Jiahuan Li, Yu Bao, Shujian Huang, Xinyu Dai and Jiajun Chen	N/A	N/A
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach	Wenyu DU, Zhouhan Lin, Yikang Shen, Timothy J. O’Donnell, Yoshua Bengio and Yue Zhang	N/A	N/A
Exploiting the Syntax-Model Consistency for Neural Relation Extraction	Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou and Thien Huu Nguyen	N/A	N/A
Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer	Chulun Zhou, Liangyu Chen, Jiachen Liu, Xinyan Xiao, Jinsong Su, Sheng Guo and Hua Wu	N/A	N/A
Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing	Alane Suhr, Ming-Wei Chang, Peter Shaw and Kenton Lee	N/A	N/A
Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches	Tianze Shi and Lillian Lee	N/A	N/A
Extractive Summarization as Text Matching	Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu and Xuanjing Huang	N/A	N/A
Facet-Aware Evaluation for Extractive Summarization	Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren and Jiawei Han	N/A	N/A
Fact-based Text Editing	Hayate Iso, Chao Qiao and Hang Li	N/A	N/A
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning	Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon and Kyomin Jung	N/A	N/A
Fast and Accurate Non-Projective Dependency Tree Linearization	Xiang Yu, Simon Tannert, Ngoc Thang Vu and Jonas Kuhn	N/A	N/A
FastBERT: a Self-distilling BERT with Adaptive Inference Time	Weijie Liu, Peng Zhou, Zhiruo Wang, Zhe Zhao, Haotang Deng and QI JU	N/A	N/A
Feature Projection for Improved Text Classification	Qi Qin, Wenpeng Hu and Bing Liu	N/A	N/A
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization	Esin Durmus, He He and Mona Diab	N/A	N/A
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network	Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Yijia Liu, Han Liu and Ting Liu	N/A	N/A
Finding Universal Grammatical Relations in Multilingual BERT	Ethan A. Chi, John Hewitt and Christopher D. Manning	N/A	N/A
Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences	Dmitry Nikolaev, Ofir Arviv, Taelin Karidi, Neta Kenneth, Veronika Mitnik, Lilja Maria Saeboe and Omri Abend	N/A	N/A
Fine-grained Fact Verification with Kernel Graph Attention Network	Zhenghao Liu, Chenyan Xiong, Maosong Sun and Zhiyuan Liu	N/A	N/A
Fine-grained Interest Matching for Neural News Recommendation	Heyuan Wang, Fangzhao Wu, Zheng Liu and Xing Xie	N/A	N/A
Fluent Response Generation for Conversational Question Answering	Ashutosh Baheti, Alan Ritter and Kevin Small	N/A	N/A
From Arguments to Key Points: Towards Automatic Argument Summarization	Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav and Noam Slonim	N/A	N/A
From English to Code-Switching: Transfer Learning with Strong Morphological Clues	Gustavo Aguilar and Thamar Solorio	N/A	N/A
From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)?	Reut Tsarfaty, Dan Bareket, Stav Klein and Amit Seker	N/A	N/A
From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains	Jan-Christoph Klie, Richard Eckart de Castilho and Iryna Gurevych	N/A	N/A
Frugal Paradigm Completion	Alexander Erdmann, Tom Kenter, Markus Becker and Christian Schallhart	N/A	N/A
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response Detection	Yefei Zha, Ruobing Li and Hui Lin	N/A	N/A
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media	Yi-Ju Lu and Cheng-Te Li	N/A	N/A
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer	Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang and Ahmed Hassan Awadallah	N/A	N/A
Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations	Saif M. Mohammad	N/A	N/A
Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus	Luisa Bentivogli, Beatrice Savoldi, Matteo Negri, Mattia A. Di Gangi, Roldano Cattoni and Marco Turchi	N/A	N/A
Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing	Clara Meister, Elizabeth Salesky and Ryan Cotterell	N/A	N/A
Generalizing Natural Language Analysis through Span-relation Representations	Zhengbao Jiang, Wei Xu, Jun Araki and Graham Neubig	N/A	N/A
Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation	Haoyu Song, Yan Wang, Wei-Nan Zhang, Xiaojiang Liu and Ting Liu	N/A	N/A
Generating Counter Narratives against Online Hate Speech: Data and Strategies	Serra Sinem Tekiroğlu, Yi-Ling Chung and Marco Guerini	N/A	N/A
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs	Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim and Sung Ju Hwang	N/A	N/A
Generating Fact Checking Explanations	Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma and Isabelle Augenstein	N/A	N/A
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection	Hanjie Chen, Guangtao Zheng and Yangfeng Ji	N/A	N/A
Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy	Xiexiong Lin, Weiyu Jian, Jianshan He, Taifeng Wang and Wei Chu	N/A	N/A
Generative Semantic Hashing Enhanced via Boltzmann Machines	Lin Zheng, Qinliang Su, Dinghan Shen and Changyou Chen	N/A	N/A
GLUECoS: An Evaluation Benchmark for Code-Switched NLP	Simran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, Sunayana Sitaram and Monojit Choudhury	N/A	N/A
GoEmotions: A Dataset of Fine-Grained Emotions	Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko, Alan Cowen, Gaurav Nemade and Sujith Ravi	N/A	N/A
Good-Enough Compositional Data Augmentation	Jacob Andreas	N/A	N/A
Graph Neural News Recommendation with Unsupervised Preference Disentanglement	Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie and Ming Zhou	N/A	N/A
Graph-to-Tree Learning for Solving Math Word Problems	Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao and Ee-Peng Lim	N/A	N/A
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs	Houyu Zhang, Zhenghao Liu, Chenyan Xiong and Zhiyuan Liu	N/A	N/A
Grounding Conversations with Improvised Dialogues	Hyundong Cho and Jonathan May	N/A	N/A
Guiding Variational Response Generator to Exploit Persona	Bowen Wu, Mengyuan Li, Zongsheng Wang, Yifu Chen, Derek F. Wong, Qihang Feng, Junhong Huang and Baoxun Wang	N/A	N/A
Handling Rare Entities for Neural Sequence Labeling	Yangming Li, Han Li, Kaisheng Yao and Xiaolong Li	N/A	N/A
Hard-Coded Gaussian Attention for Neural Machine Translation	Weiqiu You, Simeng Sun and Mohit Iyyer	N/A	N/A
Harnessing the linguistic signal to predict scalar inferences	Sebastian Schuster, Yuxing Chen and Judith Degen	N/A	N/A
Harvesting and Refining Question-Answer Pairs for Unsupervised QA	Zhongli Li, Wenhui Wang, Li Dong, Furu Wei and Ke Xu	N/A	N/A
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing	Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan and Song Han	N/A	N/A
He said “who’s gonna take care of your children when you are at ACL?”: Reported Sexist Acts are Not Sexist	Patricia Chiril, Véronique Moriceau, Farah Benamara, Alda Mari, Gloria Origgi and Marlène Coulomb-Gully	N/A	N/A
Heterogeneous Graph Neural Networks for Extractive Document Summarization	Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu and Xuanjing Huang	N/A	N/A
Heterogeneous Graph Transformer for Graph-to-Sequence Learning	Shaowei Yao, Tianming Wang and Xiaojun Wan	N/A	N/A
Hierarchical Entity Typing via Multi-level Learning to Rank	Tongfei Chen, Yunmo Chen and Benjamin Van Durme	N/A	N/A
Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention	Veronica Lynn, Niranjan Balasubramanian and H. Andrew Schwartz	N/A	N/A
Hierarchy-Aware Global Model for Hierarchical Text Classification	Jie Zhou, Chunping Ma, Dingkun Long, Guangwei Xu, Ning Ding, Haoyu Zhang, Pengjun Xie and Gongshen Liu	N/A	N/A
Highway Transformer: Self-Gating Enhanced Self-Attentive Networks	Yekun Chai, Shuo Jin and Xinwen Hou	N/A	N/A
Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation	Liting Liu, Jie Liu, Wenzheng Zhang, Ziming Chi, Wenxuan Shi and Yalou Huang	N/A	N/A
History for Visual Dialog: Do we really need it?	Shubham Agarwal, Trung Bui, Joon-Young Lee, Ioannis Konstas and Verena Rieser	N/A	N/A
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles	Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii and Peter Szolovits	N/A	N/A
How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems	Archiki Prasad and Preethi Jyothi	N/A	N/A
How does BERT’s attention change when you fine-tune? An analysis methodology and a case study in negation scope	Yiyun Zhao and Steven Bethard	N/A	N/A
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence	Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu and Maosong Sun	N/A	N/A
How Does Selective Mechanism Improve Self-Attention Networks?	Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu and Zhaopeng Tu	N/A	N/A
How to Ask Good Questions? Try to Leverage Paraphrases	Xin Jia, Wenjie Zhou, Xu Sun and Yunfang Wu	N/A	N/A
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?	Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong and Elke Rundensteiner	N/A	N/A
Hyperbolic Capsule Networks for Multi-Label Classification	Boli Chen, Xin Huang, Lin Xiao and Liping Jing	N/A	N/A
HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding	Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu and Weifeng Chong	N/A	N/A
Image-Chat: Engaging Grounded Conversations	Kurt Shuster, Samuel Humeau, Antoine Bordes and Jason Weston	N/A	N/A
IMoJIE: Iterative Memory-Based Joint Open Information Extraction	Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam - and Soumen Chakrabarti	N/A	N/A
Improved Natural Language Generation via Loss Truncation	Daniel Kang and Tatsunori Hashimoto	N/A	N/A
Improving Adversarial Text Generation by Modeling the Distant Future	Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen and Lawrence Carin	N/A	N/A
Improving Chinese Word Segmentation with Wordhood Memory Networks	Yuanhe Tian, Yan Song, Fei Xia, Tong Zhang and Yonggang Wang	N/A	N/A
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance	Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li and Lawrence Carin	N/A	N/A
Improving Disfluency Detection by Self-Training a Self-Attentive Model	Paria Jamshid Lou and Mark Johnson	N/A	N/A
Improving Event Detection via Open-domain Trigger Knowledge	Meihan Tong, Bin Xu, Shuai Wang, Yixin Cao, Lei Hou, Juanzi Li and Jun Xie	N/A	N/A
Improving Image Captioning Evaluation by Considering Inter References Variance	Yanzhi Yi, Hangyu Deng and Jinglu Hu	N/A	N/A
Improving Image Captioning with Better Use of Caption	Zhan Shi, Xu Zhou, Xipeng Qiu and Xiaodan Zhu	N/A	N/A
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation	Biao Zhang, Philip Williams, Ivan Titov and Rico Sennrich	N/A	N/A
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings	Apoorv Saxena, Aditay Tripathi and Partha Talukdar	N/A	N/A
Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer	Jianfei Yu, Jing Jiang, Li Yang and Rui Xia	N/A	N/A
Improving Neural Machine Translation with Soft Template Prediction	Jian Yang, Shuming Ma, Dongdong Zhang, Zhoujun Li and Ming Zhou	N/A	N/A
Improving Segmentation for Technical Support Problems	Kushal Chauhan and Abhirut Gupta	N/A	N/A
Improving Transformer Models by Reordering their Sublayers	Ofir Press, Noah A. Smith and Omer Levy	N/A	N/A
Improving Truthfulness of Headline Generation	Kazuki Matsumaru, Sho Takase and Naoaki Okazaki	N/A	N/A
In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts	Ruben Kruiper, Julian Vincent, Jessica Chen-Burger, Marc Desmulliez and Ioannis Konstas	N/A	N/A
In Neural Machine Translation, What Does Transfer Learning Transfer?	Alham Fikri Aji, Nikolay Bogoychev, Kenneth Heafield and Rico Sennrich	N/A	N/A
Inflecting when there’s no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals	Kate McCurdy, Sharon Goldwater and Adam Lopez	N/A	N/A
Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models	Kaiji Lu, Piotr Mardziel, Klas Leino, Matt Fredrikson and Anupam Datta	N/A	N/A
Information-Theoretic Probing for Linguistic Structure	Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams and Ryan Cotterell	N/A	N/A
INFOTABS: Inference on Tables as Semi-structured Data	Vivek Gupta, Maitrey Mehta, Pegah Nokhiz and Vivek Srikumar	N/A	N/A
Injecting Numerical Reasoning Skills into Language Models	Mor Geva, Ankit Gupta and Jonathan Berant	N/A	N/A
INSET: Sentence Infilling with INter-SEntential Transformer	Yichen Huang, Yizhe Zhang, Oussama Elachqar and Yu Cheng	N/A	N/A
Integrating Multimodal Information in Large Pretrained Transformers	Wasifur Rahman, Md Kamrul Hasan, Sangwu Lee, AmirAli Bagher Zadeh, Chengfeng Mao, Louis-Philippe Morency and Ehsan Hoque	N/A	N/A
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection	Lei Zhong, Juan Cao, Qiang Sheng, Junbo Guo and Ziang Wang	N/A	N/A
Interactive Classification by Asking Informative Questions	Lili Yu, Howard Chen, Sida I. Wang, Tao Lei and Yoav Artzi	N/A	N/A
Interactive Construction of User-Centric Dictionary for Text Analytics	Ryosuke Kohita, Issei Yoshida, Hiroshi Kanayama and Tetsuya Nasukawa	N/A	N/A
Interactive Machine Comprehension with Information Seeking Agents	Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal and Adam Trischler	N/A	N/A
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?	Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann and Samuel R. Bowman	N/A	N/A
Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings	Rishi Bommasani, Kelly Davis and Claire Cardie	N/A	N/A
Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions	Hannah Craighead, Andrew Caines, Paula Buttery and Helen Yannakoudakis	N/A	N/A
Investigating Word-Class Distributions in Word Vector Spaces	Ryohei Sasano and Anna Korhonen	N/A	N/A
iSarcasm: A Dataset of Intended Sarcasm	Silviu Oprea and Walid Magdy	N/A	N/A
It Takes Two to Lie: One to Lie, and One to Listen	Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil and Jordan Boyd-Graber	N/A	N/A
It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations	Samson Tan, Shafiq Joty, Min-Yen Kan and Richard Socher	N/A	N/A
Iterative Edit-Based Unsupervised Sentence Simplification	Dhruv Kumar, Lili Mou, Lukasz Golab and Olga Vechtomova	N/A	N/A
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge	Yuanhe Tian, Yan Song, Xiang Ao, Fei Xia, Xiaojun Quan, Tong Zhang and Yonggang Wang	N/A	N/A
Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging	Nasser Zalmout and Nizar Habash	N/A	N/A
Joint Modelling of Emotion and Abusive Language Detection	Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis and Ekaterina Shutova	N/A	N/A
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization	Yue Cao, Hui Liu and Xiaojun Wan	N/A	N/A
Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation	Junliang Guo, Linli Xu and Enhong Chen	N/A	N/A
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation	Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang and Xiaoyan Zhu	N/A	N/A
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis	Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Navonil Majumder, Rada Mihalcea and Soujanya Poria	N/A	N/A
KLEJ: Comprehensive Benchmark for Polish Language Understanding	Piotr Rybak, Robert Mroczkowski, Janusz Tracz and Ireneusz Gawlik	N/A	N/A
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation	Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita and Tiejun Zhao	N/A	N/A
Knowledge Graph Embedding Compression	Mrinmaya Sachan	N/A	N/A
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward	Luyang Huang, Lingfei Wu and Lu Wang	N/A	N/A
Language (Re)modelling: Towards Embodied Language Understanding	Ronen Tamari, Chen Shani, Tom Hope, Miriam R L Petruck, Omri Abend and Dafna Shahaf	N/A	N/A
Language (technology) is power: The need to be explicit about NLP harms	Su Lin Blodgett, Solon Barocas, Hal Daumé III and Hanna Wallach	N/A	N/A
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese	Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki and Kentaro Inui	N/A	N/A
Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions	Tian Jin, Zhun Liu, Shengjia Yan, Alexandre Eichenberger and Louis-Philippe Morency	N/A	N/A
Large Scale Multi-Actor Generative Dialog Modeling	Alex Boyd, Raul Puri, Mohammad Shoeybi, Mostofa Patwary and Bryan Catanzaro	N/A	N/A
Learning a Multi-Domain Curriculum for Neural Machine Translation	Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell and Zarana Parekh	N/A	N/A
Learning and Evaluating Emotion Lexicons for 91 Languages	Sven Buechel, Susanna Rücker and Udo Hahn	N/A	N/A
Learning Architectures from an Extended Search Space for Language Modeling	Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu and Changliang Li	N/A	N/A
Learning Constraints for Structured Prediction Using Rectifier Networks	Xingyuan Pan, Maitrey Mehta and Vivek Srikumar	N/A	N/A
Learning Dialog Policies from Weak Demonstrations	Gabriel Gordon-Hall, Philip John Gorinski and Shay B. Cohen	N/A	N/A
Learning Efficient Dialogue Policy from Demonstrations through Shaping	Huimin Wang, Baolin Peng and Kam-Fai Wong	N/A	N/A
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts	Jingyuan Zhang, Mingming Sun, Yue Feng and Ping Li	N/A	N/A
Learning Source Phrase Representations for Neural Machine Translation	Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu and Jingyi Zhang	N/A	N/A
Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction	Zi Chai and Xiaojun Wan	N/A	N/A
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling	Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu and Xiang Ren	N/A	N/A
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks	Yiping Song, Zequn Liu, Wei Bi, Rui Yan and Ming Zhang	N/A	N/A
Learning to Deceive with Attention-Based Explanations	Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig and Zachary C. Lipton	N/A	N/A
Learning to execute instructions in a Minecraft dialogue	Prashant Jayannavar, Anjali Narayan-Chen and Julia Hockenmaier	N/A	N/A
Learning to Faithfully Rationalize by Construction	Sarthak Jain, Sarah Wiegreffe, Yuval Pinter and Byron C. Wallace	N/A	N/A
Learning to Identify Follow-Up Questions in Conversational Question Answering	Souvik Kundu, Qian Lin and Hwee Tou Ng	N/A	N/A
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation	Qiu Ran, Yankai Lin, Peng Li and Jie Zhou	N/A	N/A
Learning to Segment Actions from Observation and Narration	Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark and Aida Nematzadeh	N/A	N/A
Learning to Update Natural Language Comments Based on Code Changes	Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li and Raymond Mooney	N/A	N/A
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context	Shashank Srivastava, Oleksandr Polozov, Nebojsa Jojic and Christopher Meek	N/A	N/A
Leveraging Graph to Improve Abstractive Multi-Document Summarization	Wei Li, Xinyan Xiao, Jiachen Liu, Hua Wu, Haifeng Wang and Junping Du	N/A	N/A
Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks	Yanbin Zhao, Lu Chen, Zhi Chen, Ruisheng Cao, Su Zhu and Kai Yu	N/A	N/A
Location Attention for Extrapolation to Longer Sequences	Yann Dubois, Gautier Dagan, Dieuwke Hupkes and Elia Bruni	N/A	N/A
Logical Natural Language Generation from Open-Domain Tables	Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen and William Yang Wang	N/A	N/A
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network	Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang and Jian Yin	N/A	N/A
Low-Dimensional Hyperbolic Knowledge Graph Embeddings	Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi and Christopher Ré	N/A	N/A
Low-Resource Generation of Multi-hop Reasoning Questions	Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan and Jian Yin	N/A	N/A
Machine Reading of Historical Events	Or Honovich, Lucas Torroba Hennigen, Omri Abend and Shay B. Cohen	N/A	N/A
Mapping Natural Language Instructions to Mobile UI Action Sequences	Yang Li, Jiacong He, Xin Zhou, Yuan Zhang and Jason Baldridge	N/A	N/A
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning	Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara Berg and Mohit Bansal	N/A	N/A
Masked Language Model Scoring	Julian Salazar, Davis Liang, Toan Q. Nguyen and Katrin Kirchhoff	N/A	N/A
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization	Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu and Chenliang Li	N/A	N/A
Max-Margin Incremental CCG Parsing	Miloš Stanojević and Mark Steedman	N/A	N/A
Measuring Forecasting Skill from Text	Shi Zong, Alan Ritter and Eduard Hovy	N/A	N/A
Meta-Reinforced Multi-Domain State Generator for Dialogue Systems	Yi Huang, Junlan Feng, Min Hu, Xiaoting Wu, Xiaoyu Du and Shuo Ma	N/A	N/A
MIE: A Medical Information Extractor towards Medical Dialogues	Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu and Jun Zhao	N/A	N/A
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance	Prasetya Ajie Utama, Nafise Sadat Moosavi and Iryna Gurevych	N/A	N/A
MIND: A Large-scale Dataset for News Recommendation	Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu and Ming Zhou	N/A	N/A
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification	Jiaao Chen, Zichao Yang and Diyi Yang	N/A	N/A
MLQA: Evaluating Cross-lingual Extractive Question Answering	Patrick Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel and Holger Schwenk	N/A	N/A
MMPE: A Multi-Modal Interface for Post-Editing Machine Translation	Nico Herbig, Tim Düwel, Santanu Pal, Kalliopi Maria Meladaki, Mahsa Monshizadeh, Antonio Krüger and Josef van Genabith	N/A	N/A
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices	Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang and Denny Zhou	N/A	N/A
Modeling Code-Switch Languages Using Bilingual Parallel Corpus	Grandee Lee and Haizhou Li	N/A	N/A
Modeling Morphological Typology for Unsupervised Learning of Language Morphology	Hongzhi Xu, Jordan Kodner, Mitchell Marcus and Charles Yang	N/A	N/A
Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis	Minh Hieu Phan and Philip O. Ogunbona	N/A	N/A
More Diverse Dialogue Datasets via Diversity-Informed Data Collection	Katherine Stasaski, Grace Hui Yang and Marti A. Hearst	N/A	N/A
Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders	Terra Blevins and Luke Zettlemoyer	N/A	N/A
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning	Angeliki Lazaridou, Anna Potapenko and Olivier Tieleman	N/A	N/A
Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition	Ryuichi Takanobu, Runze Liang and Minlie Huang	N/A	N/A
Multi-Cell Compositional LSTM for NER Domain Adaptation	Chen Jia and Yue Zhang	N/A	N/A
Multidirectional Associative Optimization of Function-Specific Word Representations	Daniela Gerz, Ivan Vulić, Marek Rei, Roi Reichart and Anna Korhonen	N/A	N/A
Multi-Domain Dialogue Acts and Response Co-Generation	Kai Wang, Junfeng Tian, Rui Wang, Xiaojun Quan and Jianxing Yu	N/A	N/A
Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference	Jing Wang, Mayank Kulkarni and Daniel Preotiuc-Pietro	N/A	N/A
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing	Haoming Jiang, Chen Liang, Chong Wang and Tuo Zhao	N/A	N/A
Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization	Hanqi Jin, Tianming Wang and Xiaojun Wan	N/A	N/A
Multi-Hypothesis Machine Translation Evaluation	Marina Fomicheva, Lucia Specia and Francisco Guzmán	N/A	N/A
Multi-Label and Multilingual News Framing Analysis	Afra Feyza Akyürek, Lei Guo, Randa Elanwar, Prakash Ishwar, Margrit Betke and Derry Tanti Wijaya	N/A	N/A
Multimodal Neural Graph Memory Networks for Visual Question Answering	Mahmoud Khademi	N/A	N/A
MultiQT: Multimodal learning for real-time question tracking in speech	Jakob D. Havtorn, Jan Latko, Joakim Edin, Lars Maaløe, Lasse Borgholt, Lorenzo Belgrano, Nicolai Jacobsen, Regitze Sdun and Željko Agić	N/A	N/A
Multiscale Collaborative Deep Models for Neural Machine Translation	Xiangpeng Wei, Heng Yu, Yue Hu, Yue Zhang, Rongxiang Weng and Weihua Luo	N/A	N/A
Multi-Sentence Argument Linking	Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins and Benjamin Van Durme	N/A	N/A
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering	Ming Yan, Hao Zhang, Di Jin and Joey Tianyi Zhou	N/A	N/A
MuTual: A Dataset for Multi-Turn Dialogue Reasoning	Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang and Ming Zhou	N/A	N/A
Named Entity Recognition without Labelled Data: A Weak Supervision Approach	Pierre Lison, Jeremy Barnes, Aliaksandr Hubin and Samia Touileb	N/A	N/A
NAT: Noise-Aware Training for Robust Neural Sequence Labeling	Marcin Namysl, Sven Behnke and Joachim Köhler	N/A	N/A
Negative Training for Neural Dialogue Response Generation	Tianxing He and James Glass	N/A	N/A
Neighborhood Matching Network for Entity Alignment	Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang and Dongyan Zhao	N/A	N/A
NeuInfer: Knowledge Inference on N-ary Facts	Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang and Xueqi Cheng	N/A	N/A
Neural CRF Model for Sentence Alignment in Text Simplification	Chao Jiang, Mounica Maddela, Wuwei Lan, Yang Zhong and Wei Xu	N/A	N/A
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence	Xiaoyu Shen, Ernie Chang, Hui Su, Cheng Niu and Dietrich Klakow	N/A	N/A
Neural Generation of Dialogue Response Timings	Matthew Roddy and Naomi Harte	N/A	N/A
Neural Mixed Counting Models for Dispersed Topic Discovery	Jiemin Wu, Yanghui Rao, Zusheng Zhang, Haoran Xie, Qing Li, Fu Lee Wang and Ziye Chen	N/A	N/A
Neural Reranking for Dependency Parsing: An Evaluation	Bich-Ngoc Do and Ines Rehbein	N/A	N/A
Neural Syntactic Preordering for Controlled Paraphrase Generation	Tanya Goyal and Greg Durrett	N/A	N/A
Neural Topic Modeling with Bidirectional Adversarial Training	Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye and Haiyang Xu	N/A	N/A
NILE : Natural Language Inference with Faithful Natural Language Explanations	Sawan Kumar and Partha Talukdar	N/A	N/A
Norm-Based Curriculum Learning for Neural Machine Translation	Xuebo Liu, Houtim Lai, Derek F. Wong and Lidia S. Chao	N/A	N/A
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses	Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal and Dan Roth	N/A	N/A
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection	Shauli Ravfogel, Yanai Elazar, Hila Gonen, Michael Twiton and Yoav Goldberg	N/A	N/A
Obtaining Faithful Interpretations from Compositional Neural Networks	Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant and Matt Gardner	N/A	N/A
On Faithfulness and Factuality in Abstractive Summarization	Joshua Maynez, Shashi Narayan, Bernd Bohnet and Ryan McDonald	N/A	N/A
On the Cross-lingual Transferability of Monolingual Representations	Mikel Artetxe, Sebastian Ruder and Dani Yogatama	N/A	N/A
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond	Chen Wu, Prince Zizhuang Wang and William Yang Wang	N/A	N/A
On The Evaluation of Machine Translation SystemsTrained With Back-Translation	Sergey Edunov, Myle Ott, Marc’Aurelio Ranzato and Michael Auli	N/A	N/A
On the Inference Calibration of Neural Machine Translation	Shuo Wang, Zhaopeng Tu, Shuming Shi and Yang Liu	N/A	N/A
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation	Wei Zhao, Goran Glavaš, Maxime Peyrard, Yang Gao, Robert West and Steffen Eger	N/A	N/A
On the Robustness of Language Encoders against Grammatical Errors	Fan Yin, Quanyu Long, Tao Meng and Kai-Wei Chang	N/A	N/A
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases	Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Peter Brusilovsky, Daqing He and Adam Trischler	N/A	N/A
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports	Yuhao Zhang, Derek Merck, Emily Tsai, Christopher D. Manning and Curtis Langlotz	N/A	N/A
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding	Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He and Bowen Zhou	N/A	N/A
Out of the Echo Chamber: Detecting Countering Debate Speeches	Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov and Noam Slonim	N/A	N/A
ParaCrawl: Web-Scale Acquisition of Parallel Corpora	Marta Bañón, Pinzhen Chen, Barry Haddow, Kenneth Heafield, Hieu Hoang, Miquel Esplà-Gomis, Mikel L. Forcada, Amir Kamran, Faheem Kirefu, Philipp Koehn, Sergio Ortiz Rojas, Leopoldo Pla Sempere, Gema Ramírez-Sánchez, Elsa Sarrías, Marek Strelec, Brian Thompson, William Waites, Dion Wiggins and Jaume Zaragoza	N/A	N/A
Parallel Corpus Filtering via Pre-trained Language Models	Boliang Zhang, Ajay Nagesh and Kevin Knight	N/A	N/A
Paraphrase Augmented Task-Oriented Dialog Generation	Silin Gao, Yichi Zhang, Zhijian Ou and Zhou Yu	N/A	N/A
Paraphrase Generation by Learning How to Edit from Samples	Amirhossein Kazemnejad, Mohammadreza Salehi and Mahdieh Soleymani Baghshah	N/A	N/A
Parsing into Variable-in-situ Logico-Semantic Graphs	Yufei Chen and Weiwei Sun	N/A	N/A
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT	Zhiyong Wu, Yun Chen, Ben Kao and Qun Liu	N/A	N/A
PeTra: A Sparsely Supervised Memory Model for People Tracking	Shubham Toshniwal, Allyson Ettinger, Kevin Gimpel and Karen Livescu	N/A	N/A
Phone Features Improve Speech Translation	Elizabeth Salesky and Alan W Black	N/A	N/A
Phonetic and Visual Priors for Decipherment of Informal Romanization	Maria Ryskina, Matthew R. Gormley and Taylor Berg-Kirkpatrick	N/A	N/A
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable	Siqi Bao, Huang He, Fan Wang, Hua Wu and Haifeng Wang	N/A	N/A
Politeness Transfer: A Tag and Generate Approach	Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabas Poczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W Black and Shrimai Prabhumoye	N/A	N/A
Posterior Control of Blackbox Generation	Xiang Lisa Li and Alexander Rush	N/A	N/A
Predicting Declension Class from Form and Meaning	Adina Williams, Tiago Pimentel, Arya D. McCarthy, Hagen Blix, Eleanor Chodroff and Ryan Cotterell	N/A	N/A
Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts	Alex Rinaldi, Jean Fox Tree and Snigdha Chaturvedi	N/A	N/A
Predicting Performance for Natural Language Processing Tasks	Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang and Graham Neubig	N/A	N/A
Predicting the Focus of Negation: Model and Error Analysis	Md Mosharaf Hossain, Kathleen Hamilton, Alexis Palmer and Eduardo Blanco	N/A	N/A
Predicting the Growth of Morphological Families from Social and Linguistic Factors	Valentin Hofmann, Janet Pierrehumbert and Hinrich Schütze	N/A	N/A
Predicting the Topical Stance and Political Leaning of Media using Tweets	Peter Stefanov, Kareem Darwish, Atanas Atanasov and Preslav Nakov	N/A	N/A
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview	Deven Santosh Shah, H. Andrew Schwartz and Dirk Hovy	N/A	N/A
Premise Selection in Natural Language Mathematical Texts	Deborah Ferreira and André Freitas	N/A	N/A
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders	Yu Duan, Canwen Xu, Jiaxin Pei, Jialong Han and Chenliang Li	N/A	N/A
Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning	Alexandre Tamborrino, Nicola Pellicanò, Baptiste Pannier, Pascal Voitot and Louise Naudin	N/A	N/A
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models	Dan Iter, Kelvin Guu, Larry Lansing and Dan Jurafsky	N/A	N/A
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering	Hao Cheng, Ming-Wei Chang, Kenton Lee and Kristina Toutanova	N/A	N/A
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order	Yi Liao, Xin Jiang and Qun Liu	N/A	N/A
Probing for referential information in language models	Ionut-Teodor Sorodoc, Kristina Gulordava and Gemma Boleda	N/A	N/A
Probing Linguistic Features of Sentence-Level Representations in Relation Extraction	Christoph Alt, Aleksandra Gabryszak and Leonhard Hennig	N/A	N/A
Probing Linguistic Systematicity	Emily Goodwin, Koustuv Sinha and Timothy J. O’Donnell	N/A	N/A
Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding	Sebastian Weigelt, Vanessa Steurer, Tobias Hey and Walter F. Tichy	N/A	N/A
PuzzLing Machines: A Challenge on Learning From Small Data	Gözde Gül Şahin, Yova Kementchedjhieva, Phillip Rust and Iryna Gurevych	N/A	N/A
Pyramid: A Layered Model for Nested Named Entity Recognition	Jue Wang, Lidan Shou, Ke Chen and Gang Chen	N/A	N/A
QuASE: Question-Answer Driven Sentence Encoding	Hangfeng He, Qiang Ning and Dan Roth	N/A	N/A
R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge	Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan and Nanyun Peng	N/A	N/A
Rationalizing Medical Relation Prediction from Corpus-level Statistics	Zhen Wang, Jennifer Lee, Simon Lin and Huan Sun	N/A	N/A
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport	Kyle Swanson, Lili Yu and Tao Lei	N/A	N/A
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers	Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov and Matthew Richardson	N/A	N/A
Reasoning Over Semantic-Level Graph for Fact Checking	Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang and Jian Yin	N/A	N/A
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction	Guoshun Nan, Zhijiang Guo, Ivan Sekulic and Wei Lu	N/A	N/A
Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association	Nan Xu, Zhixiong Zeng and Wenji Mao	N/A	N/A
(Re)construing Meaning in NLP	Sean Trott, Tiago Timponi Torrent, Nancy Chang and Nathan Schneider	N/A	N/A
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension	Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen and Dong Yu	N/A	N/A
Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment	Forrest Davis and Marten van Schijndel	N/A	N/A
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem	Danielle Saunders and Bill Byrne	N/A	N/A
Refer360° : A Referring Expression Recognition Dataset in 360° Images	Volkan Cirik, Taylor Berg-Kirkpatrick and Louis-Philippe Morency	N/A	N/A
ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding	Zhiwen Xie, Guangyou Zhou, Jin Liu and Jimmy Xiangji Huang	N/A	N/A
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents	Daoyuan Chen, Yaliang Li, Kai Lei and Ying Shen	N/A	N/A
Relational Graph Attention Network for Aspect-based Sentiment Analysis	Kai Wang, Weizhou Shen, Yunyi Yang, Xiaojun Quan and Rui Wang	N/A	N/A
Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis	Zhuang Chen and Tieyun Qian	N/A	N/A
Representation Learning for Information Extraction from Form-like Documents	Bodhisattwa Prasad Majumder, Navneet Potti, Sandeep Tata, James Bradley Wendt, Qi Zhao and Marc Najork	N/A	N/A
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation	Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu and Nevin L. Zhang	N/A	N/A
Review-based Question Generation with Adaptive Instance Transfer and Augmentation	Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam and Luo Si	N/A	N/A
Revisiting the Context Window for Cross-lingual Word Embeddings	Ryokan Ri and Yoshimasa Tsuruoka	N/A	N/A
Rigid Formats Controlled Text Generation	Piji Li, Haisong Zhang, Xiaojiang Liu and Shuming Shi	N/A	N/A
RikiNet: Reading Wikipedia Pages for Natural Question Answering	Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv and Nan Duan	N/A	N/A
Robust Encodings: A Framework for Combating Adversarial Typos	Erik Jones, Robin Jia, Aditi Raghunathan and Percy Liang	N/A	N/A
Roles and Utilization of Attention Heads in Transformer-based Neural Language Models	Jae-young Jo and Sung-Hyon Myaeng	N/A	N/A
S2ORC: The Semantic Scholar Open Research Corpus	Kyle Lo, Lucy Wang, Mark Neumann, Rodney Kinney and Daniel Weld	N/A	N/A
SAS: Dialogue State Tracking via Slot Attention and Slot Information Sharing	Jiaying Hu, Yan Yang, Chencai Chen, Liang He and Zhou Yu	N/A	N/A
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations	Xiang Kong, Varun Gangal and Eduard Hovy	N/A	N/A
schuBERT: Optimizing Elements of BERT	Ashish Khetan and Zohar Karnin	N/A	N/A
SciREX: A Challenge Dataset for Document-Level Information Extraction	Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi and Iz Beltagy	N/A	N/A
Screenplay Summarization Using Latent Narrative Structure	Pinelopi Papalampidi, Frank Keller, Lea Frermann and Mirella Lapata	N/A	N/A
ScriptWriter: Narrative-Guided Script Generation	Yutao Zhu, Ruihua Song, Zhicheng Dou, Jian-Yun Nie and Jin Zhou	N/A	N/A
SEEK: Segmented Embedding of Knowledge Graphs	Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin and Tie-Yan Liu	N/A	N/A
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation	Xabier Soto, Dimitar Shterionov, Alberto Poncelas and Andy Way	N/A	N/A
Selective Question Answering under Domain Shift	Amita Kamath, Robin Jia and Percy Liang	N/A	N/A
Semantic Graphs for Generating Deep Questions	Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua and Min-Yen Kan	N/A	N/A
Semantic Parsing for English as a Second Language	Yuanyuan Zhao, Weiwei Sun, Junjie Cao and Xiaojun Wan	N/A	N/A
Semantic Scaffolds for Pseudocode-to-Code Generation	Ruiqi Zhong, Mitchell Stern and Dan Klein	N/A	N/A
Semi-supervised Contextual Historical Text Normalization	Peter Makarov and Simon Clematide	N/A	N/A
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation	Xinting Huang, Jianzhong Qi, Yu Sun and Rui Zhang	N/A	N/A
Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders	Zixia Jia, Youmi Ma, Jiong Cai and Kewei Tu	N/A	N/A
SenseBERT: Driving Some Sense into BERT	Yoav Levine, Barak Lenz, Or Dagan, Ori Ram, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua and Yoav Shoham	N/A	N/A
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics	Da Yin, Tao Meng and Kai-Wei Chang	N/A	N/A
Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis	Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal and Pushpak Bhattacharyya	N/A	N/A
SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling	Luoxin Chen, Weitong Ruan, Xinyue Liu and Jianhua Lu	N/A	N/A
Should All Cross-Lingual Embeddings Speak English?	Antonios Anastasopoulos and Graham Neubig	N/A	N/A
Similarity Analysis of Contextual Word Representation Models	John Wu, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi and James Glass	N/A	N/A
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora	Hila Gonen, Ganesh Jawahar, Djamé Seddah and Yoav Goldberg	N/A	N/A
Simplify the Usage of Lexicon in Chinese NER	Ruotian Ma, Minlong Peng, Qi Zhang, Zhongyu Wei and Xuanjing Huang	N/A	N/A
SimulSpeech: End-to-End Simultaneous Speech to Text Translation	Yi Ren, Jinglin Liu, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao and Tie-Yan Liu	N/A	N/A
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language	Qianhui Wu, Zijia Lin, Börje Karlsson, Jian-Guang Lou and Biqing Huang	N/A	N/A
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis	Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang and Feng Wu	N/A	N/A
Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network	Yangming Li, Kaisheng Yao, Libo Qin, Wanxiang Che, Xiaolong Li and Ting Liu	N/A	N/A
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization	Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao and Tuo Zhao	N/A	N/A
Social Bias Frames: Reasoning about Social and Power Implications of Language	Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith and Yejin Choi	N/A	N/A
Sources of Transfer in Multilingual Named Entity Recognition	David Mueller, Nicholas Andrews and Mark Dredze	N/A	N/A
Span Selection Pre-training for Question Answering	Michael Glass, Alfio Gliozzo, Rishav Chakravarti, Anthony Ferritto, Lin Pan, G P Shrivatsa Bhargav, Dinesh Garg and Avi Sil	N/A	N/A
Span-based Localizing Network for Natural Language Video Localization	Hao Zhang, Aixin Sun, Wei Jing and Joey Tianyi Zhou	N/A	N/A
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction	He Zhao, Longtao Huang, Rong Zhang, Quan Lu and Hui Xue	N/A	N/A
Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback	Ahmed Elgohary, Saghar Hosseini and Ahmed Hassan Awadallah	N/A	N/A
Speaker Sensitive Response Evaluation Model	JinYeong Bak and Alice Oh	N/A	N/A
Speakers enhance contextually confusable words	Eric Meinhardt, Eric Bakovic and Leon Bergen	N/A	N/A
SPECTER: Document-level Representation Learning using Citation-informed Transformers	Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey and Daniel Weld	N/A	N/A
Speech Translation and the End-to-End Promise: Taking Stock of Where We Are	Matthias Sperber and Matthias Paulik	N/A	N/A
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check	Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu and Yuan Qi	N/A	N/A
Spelling Error Correction with Soft-Masked BERT	Shaohua Zhang, Haoran Huang, Jicong Liu and Hang Li	N/A	N/A
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words	Josef Klafka and Allyson Ettinger	N/A	N/A
STARC: Structured Annotations for Reading Comprehension	Yevgeni Berzak, Jonathan Malmaud and Roger Levy	N/A	N/A
Stock Embeddings Acquired from News Articles and Price History, and an Application to Portfolio Optimization	Xin Du and Kumiko Tanaka-Ishii	N/A	N/A
Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset	Revanth Rameshkumar and Peter Bailey	N/A	N/A
Structural Information Preserving for Graph-to-Text Generation	Linfeng Song, Ante Wang, Jinsong Su, Yue Zhang, Kun Xu, Yubin Ge and Dong Yu	N/A	N/A
Structured Tuning for Semantic Role Labeling	Tao Li, Parth Anand Jawale, Martha Palmer and Vivek Srikumar	N/A	N/A
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling	Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang and Kewei Tu	N/A	N/A
Suspense in Short Stories is Predicted By Uncertainty Reduction over Neural Story Representation	David Wilmot and Frank Keller	N/A	N/A
Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction	Shaowei Chen, Jie Liu, Yu Wang, Wenzheng Zhang and Ziming Chi	N/A	N/A
Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation	Kaustubh Dhole and Christopher D. Manning	N/A	N/A
Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks	Bo Zhang, Yue Zhang, Rui Wang, Zhenghua Li and Min Zhang	N/A	N/A
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data	Pengcheng Yin, Graham Neubig, Wen-tau Yih and Sebastian Riedel	N/A	N/A
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task	Christoph Alt, Aleksandra Gabryszak and Leonhard Hennig	N/A	N/A
TAG : Type Auxiliary Guiding for Code Comment Generation	Ruichu Cai, Zhihao Liang, Boyan Xu, zijian li, Yuexing Hao and Yao Chen	N/A	N/A
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics	Nitika Mathur, Timothy Baldwin and Trevor Cohn	N/A	N/A
TaPas: Weakly Supervised Table Parsing via Pre-training	Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno and Julian Eisenschlos	N/A	N/A
Target Inference in Argument Conclusion Generation	Milad Alshomary, Shahbaz Syed, Martin Potthast and Henning Wachsmuth	N/A	N/A
Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer	Chao Shang, Sarthak Dash, Md Faisal Mahbub Chowdhury, Nandana Mihindukulasooriya and Alfio Gliozzo	N/A	N/A
Tchebycheff Procedure for Multi-task Text Classification	Yuren Mao, Shuang Yun, Weiwei Liu and Bo Du	N/A	N/A
Temporal Common Sense Acquisition with Minimal Supervision	Ben Zhou, Qiang Ning, Daniel Khashabi and Dan Roth	N/A	N/A
Temporally-Informed Analysis of Named Entity Recognition	Shruti Rijhwani and Daniel Preotiuc-Pietro	N/A	N/A
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates	Katherine Keith, David Jensen and Brendan O’Connor	N/A	N/A
Text-Based Ideal Points	Keyon Vafa, Suresh Naidu and David Blei	N/A	N/A
That is a Known Lie: Detecting Previously Fact-Checked Claims	Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino and Preslav Nakov	N/A	N/A
“The Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition	Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang and Wei Wang	N/A	N/A
The Cascade Transformer: an Application for Efficient Answer Sentence Selection	Luca Soldaini and Alessandro Moschitti	N/A	N/A
The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents	Kurt Shuster, Da JU, Stephen Roller, Emily Dinan, Y-Lan Boureau and Jason Weston	N/A	N/A
The Paradigm Discovery Problem	Alexander Erdmann, Micha Elsner, Shijie Wu, Ryan Cotterell and Nizar Habash	N/A	N/A
The Right Tool for the Job: Matching Model and Instance Complexities	Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge and Noah A. Smith	N/A	N/A
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations	Mostafa Abdou, Vinit Ravishankar, Maria Barrett, Yonatan Belinkov, Desmond Elliott and Anders Søgaard	N/A	N/A
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain	Annemarie Friedrich, Heike Adel, Federico Tomazic, Johannes Hingerl, Renou Benteau, Anika Marusczyk and Lukas Lange	N/A	N/A
The State and Fate of Linguistic Diversity and Inclusion in the NLP World	Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali and Monojit Choudhury	N/A	N/A
The Summary Loop: Learning to Write Abstractive Summaries Without Examples	Philippe Laban, Andrew Hsi, John Canny and Marti A. Hearst	N/A	N/A
The TechQA Dataset	Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, Scott McCarley, Michael McCawley, Mohamed Nasr, Lin Pan, Cezar Pendus, John Pitrelli, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avi Sil, Rosario Uceda-Sosa, Todd Ward and Rong Zhang	N/A	N/A
The Unstoppable Rise of Computational Linguistics in Deep Learning	James Henderson	N/A	N/A
To Boldly Query What No One Has Annotated Before? The Frontiers of Corpus Querying	Markus Gärtner and Kerstin Jung	N/A	N/A
To Test Machine Comprehension, Start by Defining Comprehension	Jesse Dunietz, Greg Burnham, Akash Bharadwaj, Owen Rambow, Jennifer Chu-Carroll and Dave Ferrucci	N/A	N/A
Toward Gender-Inclusive Coreference Resolution	Yang Trista Cao and Hal Daumé III	N/A	N/A
Towards Conversational Recommendation over Multi-Type Dialogs	Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che and Ting Liu	N/A	N/A
Towards Debiasing Sentence Representations	Paul Pu Liang, Irene Mengze Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov and Louis-Philippe Morency	N/A	N/A
Towards Emotion-aided Multi-modal Dialogue Act Classification	Tulika Saha, Aditya Patra, Sriparna Saha and Pushpak Bhattacharyya	N/A	N/A
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints	Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu and Changyou Chen	N/A	N/A
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation	Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu and Kewei Tu	N/A	N/A
Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs	Jun Chen, Xiaoya Dai, Quan Yuan, Chao Lu and Haifeng Huang	N/A	N/A
Towards Robustifying NLI Models Against Lexical Dataset Biases	Xiang Zhou and Mohit Bansal	N/A	N/A
Towards Transparent and Explainable Attention Models	Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan and Balaraman Ravindran	N/A	N/A
Towards Understanding Gender Bias in Relation Extraction	Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang and William Yang Wang	N/A	N/A
Towards Unsupervised Language Understanding and Generation by Joint Dual Learning	Shang-Yu Su, Chao-Wei Huang and Yun-Nung Chen	N/A	N/A
Toxicity Detection: Does Context Really Matter?	John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain and Ion Androutsopoulos	N/A	N/A
Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction	Chuang Fan, Chaofa Yuan, Jiachen Du, Lin Gui, Min Yang and Ruifeng Xu	N/A	N/A
Transition-based Semantic Dependency Parsing with Pointer Networks	Daniel Fernández-González and Carlos Gómez-Rodríguez	N/A	N/A
Translationese as a Language in “Multilingual” NMT	Parker Riley, Isaac Caswell, Markus Freitag and David Grangier	N/A	N/A
TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition	Ruifang He, Jian Wang, Fengyu Guo and Yugui Han	N/A	N/A
TVQA+: Spatio-Temporal Grounding for Video Question Answering	Jie Lei, Licheng Yu, Tamara Berg and Mohit Bansal	N/A	N/A
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories	Giannis Karamanolakis, Jun Ma and Xin Luna Dong	N/A	N/A
Uncertainty-Aware Curriculum Learning for Neural Machine Translation	Yikai Zhou, Baosong Yang, Derek F. Wong, Yu Wan and Lidia S. Chao	N/A	N/A
Understanding Attention for Text Classification	Xiaobing Sun and Wei Lu	N/A	N/A
Understanding the Language of Political Agreement and Disagreement in Legislative Texts	Maryam Davoodi, Eric Waltenburg and Dan Goldwasser	N/A	N/A
Universal Decompositional Semantic Parsing	Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang and Benjamin Van Durme	N/A	N/A
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification	Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-Ming Wu and Albert Y.S. Lam	N/A	N/A
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering	Vikas Yadav, Steven Bethard and Mihai Surdeanu	N/A	N/A
Unsupervised Cross-lingual Representation Learning at Scale	Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer and Veselin Stoyanov	N/A	N/A
Unsupervised Domain Clusters in Pretrained Language Models	Roee Aharoni and Yoav Goldberg	N/A	N/A
Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing	Ruisheng Cao, Su Zhu, Chenyu Yang, Chen Liu, Rao Ma, Yanbin Zhao, Lu Chen and Kai Yu	N/A	N/A
Unsupervised Morphological Paradigm Completion	Huiming Jin, Liwei Cai, Yihui Peng, Chen Xia, Arya McCarthy and Katharina Kann	N/A	N/A
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting	Po-Yao Huang, Junjie Hu, Xiaojun Chang and Alexander Hauptmann	N/A	N/A
Unsupervised Opinion Summarization as Copycat-Review Generation	Arthur Bražinskas, Mirella Lapata and Ivan Titov	N/A	N/A
Unsupervised Opinion Summarization with Noising and Denoising	Reinald Kim Amplayo and Mirella Lapata	N/A	N/A
Unsupervised Paraphrasing by Simulated Annealing	Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou and Sen Song	N/A	N/A
USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation	Shikib Mehri and Maxine Eskenazi	N/A	N/A
Weight Poisoning Attacks on Pretrained Models	Keita Kurita, Paul Michel and Graham Neubig	N/A	N/A
What are the Goals of Distributional Semantics?	Guy Emerson	N/A	N/A
What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks	Richard Futrell, William Dyer and Greg Scontras	N/A	N/A
What Question Answering can Learn from Trivia Nerds	Jordan Boyd-Graber and Benjamin Börschinger	N/A	N/A
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context	Ramy Baly, Georgi Karadzhov, Jisun An, Haewoon Kwak, Yoan Dinkov, Ahmed Ali, James Glass and Preslav Nakov	N/A	N/A
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?	Kenneth Joseph and Jonathan Morgan	N/A	N/A
“Who said it, and Why?” Provenance for Natural Language Claims	Yi Zhang, Zachary Ives and Dan Roth	N/A	N/A
WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge	Hongming Zhang, Xinran Zhao and Yangqiu Song	N/A	N/A
Word-level Textual Adversarial Attacking as Combinatorial Optimization	Yuan Zang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Meng Zhang, Qun Liu and Maosong Sun	N/A	N/A
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models	Subhabrata Mukherjee and Ahmed Hassan Awadallah	N/A	N/A
You Impress Me: Dialogue Generation via Mutual Persona Perception	Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou and Dongmei Zhang	N/A	N/A
Zero-shot Text Classification via Reinforced Self-training	Zhiquan Ye, Yuxia Geng, Jiaoyan Chen, Jingmin Chen, Xiaoxiao Xu, Suhang Zheng, Feng Wang, Jun Zhang and Huajun Chen	N/A	N/A
Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking	Giovanni Campagna, Agata Foryciarz, Mehrad Moradshahi and Monica Lam	N/A	N/A
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages	Colin Lockard, Prashant Shiralkar, Xin Luna Dong and Hannaneh Hajishirzi	N/A	N/A
A Complete Shift-Reduce Chinese Discourse Parser with Robust Dynamic Oracle	Shyh-Shiun Hung, Hen-Hsen Huang and Hsin-Hsi Chen	N/A	N/A
A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers	Shen-yun Miao, Chao-Chun Liang and Keh-Yih Su	N/A	N/A
A Frame-based Sentence Representation for Machine Reading Comprehension	Shaoru Guo, Ru Li, Hongye Tan, Xiaoli Li, Yong Guan, Hongyan Zhao and Yueping Zhang	N/A	N/A
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal	Demian Gholipour Ghalandari, Chris Hokamp, Nghia The Pham, John Glover and Georgiana Ifrim	N/A	N/A
A Multi-Perspective Architecture for Semantic Code Search	Rajarshi Haldar, Lingfei Wu, JinJun Xiong and Julia Hockenmaier	N/A	N/A
A negative case analysis of visual grounding methods for VQA	Robik Shrestha, Kushal Kafle and Christopher Kanan	N/A	N/A
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing	Kartik Goyal, Chris Dyer, Christopher Warren, Maxwell G’Sell and Taylor Berg-Kirkpatrick	N/A	N/A
A Re-evaluation of Knowledge Graph Completion Methods	Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha Talukdar and Yiming Yang	N/A	N/A
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization	Dai Quoc Nguyen, Tu Nguyen and Dinh Phung	N/A	N/A
A Relaxed Matching Procedure for Unsupervised BLI	Xu Zhao, Zihao Wang, Yong Zhang and Hao Wu	N/A	N/A
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation	Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou and Shuai Ma	N/A	N/A
A Simple and Effective Unified Encoder for Document-Level Machine Translation	Shuming Ma, Dongdong Zhang and Ming Zhou	N/A	N/A
A Tale of a Probe and a Parser	Rowan Hall Maudslay, Josef Valvoda, Tiago Pimentel, Adina Williams and Ryan Cotterell	N/A	N/A
A Three-Parameter Rank-Frequency Relation in Natural Languages	Chenchen Ding, Masao Utiyama and Eiichiro Sumita	N/A	N/A
A Transformer-based Approach for Source Code Summarization	Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray and Kai-Wei Chang	N/A	N/A
A Two-Stage Masked LM Method for Term Set Expansion	Guy Kushilevitz, Shaul Markovitch and Yoav Goldberg	N/A	N/A
A Two-Step Approach for Implicit Event Argument Detection	Zhisong Zhang, Xiang Kong, Zhengzhong Liu, Xuezhe Ma and Eduard Hovy	N/A	N/A
Active Learning for Coreference Resolution using Discrete Annotation	Belinda Z. Li, Gabriel Stanovsky and Luke Zettlemoyer	N/A	N/A
An Empirical Comparison of Unsupervised Constituency Parsing Methods	Jun Li, Yifan Cao, Jiong Cai, Yong Jiang and Kewei Tu	N/A	N/A
Analyzing the Persuasive Effect of Style in News Editorial Argumentation	Roxanne El Baff, Henning Wachsmuth, Khalid Al Khatib and Benno Stein	N/A	N/A
Are we Estimating or Guesstimating Translation Quality?	Shuo Sun, Francisco Guzmán and Lucia Specia	N/A	N/A
Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization	Sajad Sotudeh Gharebagh, Nazli Goharian and Ross Filice	N/A	N/A
Autoencoding Keyword Correlation Graph for Document Clustering	Billy Chiu, Sunil Kumar Sahu, Derek Thomas, Neha Sengupta and Mohammady Mahdy	N/A	N/A
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring	Haoran Zhang and Diane Litman	N/A	N/A
Automatic Machine Translation Evaluation using Source Language Inputs and Cross-lingual Language Model	Kosuke Takahashi, Katsuhito Sudoh and Satoshi Nakamura	N/A	N/A
Bayesian Hierarchical Words Representation Learning	Oren Barkan, Idan Rejwan, Avi Caciularu and Noam Koenigstein	N/A	N/A
Benefits of Intermediate Annotations in Reading Comprehension	Dheeru Dua, Sameer Singh and Matt Gardner	N/A	N/A
Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning	Zhuoren Jiang, Zhe Gao, Yu Duan, Yangyang Kang, Changlong Sun, Qiong Zhang and Xiaozhong Liu	N/A	N/A
Character-Level Translation with Self-attention	Yingqiang Gao, Nikola I. Nikolov, Yuhuang Hu and Richard H.R. Hahnloser	N/A	N/A
ClarQ: A large-scale and diverse dataset for Clarification Question Generation	Vaibhav Kumar and Alan W Black	N/A	N/A
Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction	Mladen Karan, Ivan Vulić, Anna Korhonen and Goran Glavaš	N/A	N/A
Clinical Concept Linking with Contextualized Neural Representations	Elliot Schumacher, Andriy Mulyar and Mark Dredze	N/A	N/A
Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain	Lukas Lange, Heike Adel and Jannik Strötgen	N/A	N/A
Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling	Zihan Liu, Genta Indra Winata, Peng Xu and Pascale Fung	N/A	N/A
Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection	Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro and Animesh Mukherjee	N/A	N/A
Composing Elementary Discourse Units in Abstractive Summarization	Zhenwen Li, Wenhao Wu and Sujian Li	N/A	N/A
Content Word Aware Neural Machine Translation	Kehai Chen, Rui Wang, Masao Utiyama and Eiichiro Sumita	N/A	N/A
Contextual Embeddings: When Are They Worth It?	Simran Arora, Avner May, Jian Zhang and Christopher Ré	N/A	N/A
Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns	KayYen Wong, Sameen Maruf and Gholamreza Haffari	N/A	N/A
Contextualized Sparse Representations for Real-Time Open-Domain Question Answering	Jinhyuk Lee, Minjoon Seo, Hannaneh Hajishirzi and Jaewoo Kang	N/A	N/A
Contextualizing Hate Speech Classifiers with Post-hoc Explanation	Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani and Xiang Ren	N/A	N/A
Contrastive Self-Supervised Learning for Commonsense Reasoning	Tassilo Klein and Moin Nabi	N/A	N/A
Controlled Crowdsourcing for High-Quality QA-SRL Annotation	Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer and Ido Dagan	N/A	N/A
Conversational Word Embedding for Retrieval-Based Dialog System	Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang and Guoping Hu	N/A	N/A
Crawling and Preprocessing Mailing Lists At Scale for Dialog Analysis	Janek Bevendorff, Khalid Al Khatib, Martin Potthast and Benno Stein	N/A	N/A
Crossing Variational Autoencoders for Answer Retrieval	Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng and Meng Jiang	N/A	N/A
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference	Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu and Jimmy Lin	N/A	N/A
Designing Precise and Robust Dialogue Response Evaluators	Tianyu Zhao, Divesh Lala and Tatsuya Kawahara	N/A	N/A
Dialogue State Tracking with Explicit Slot Connection Modeling	Yawen Ouyang, Moxin Chen, Xinyu Dai, Yinggong Zhao, Shujian Huang and Jiajun Chen	N/A	N/A
Do Transformers Need Deep Long-Range Memory?	Jack Rae and Ali Razavi	N/A	N/A
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods	Ning Miao, Yuxuan Song, Hao Zhou and Lei Li	N/A	N/A
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation	Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu and Changliang Li	N/A	N/A
Don’t Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction	Zhenkai Wei, Yu Hong, Bowei Zou, Meng Cheng and Jianmin Yao	N/A	N/A
Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing	Jiangming Liu, Shay B. Cohen and Mirella Lapata	N/A	N/A
Dynamic Memory Induction Networks for Few-Shot Text Classification	Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun and Xiaodan Zhu	N/A	N/A
Dynamic Sampling Strategies for Multi-Task Reading Comprehension	Ananth Gottumukkala, Dheeru Dua, Sameer Singh and Matt Gardner	N/A	N/A
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change	Hongfei Xu, Josef van Genabith, Deyi Xiong and Qiuhui Liu	N/A	N/A
Efficient strategies for hierarchical text classification: external knowledge and auxiliary tasks	Kervy Rivas Rojas, Gina Bustamante, Arturo Oncevay and Marco Antonio Sobrevilla Cabezudo	N/A	N/A
Embarrassingly Simple Unsupervised Aspect Extraction	Stéphan Tulkens and Andreas van Cranenburgh	N/A	N/A
Enabling Language Models to Fill in the Blanks	Chris Donahue, Mina Lee and Percy Liang	N/A	N/A
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction	Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki and Kentaro Inui	N/A	N/A
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation	Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman and Kevin Gimpel	N/A	N/A
Enhancing Machine Translation with Dependency-Aware Self-Attention	Emanuele Bugliarello and Naoaki Okazaki	N/A	N/A
Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention	Yanzeng Li, Bowen Yu, Xue Mengge and Tingwen Liu	N/A	N/A
Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing	Daniel Fernández-González and Carlos Gómez-Rodríguez	N/A	N/A
Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification	Nianzu Ma, Sahisnu Mazumder, Hao Wang and Bing Liu	N/A	N/A
Estimating Mutual Information Between Dense Word Embeddings	Vitalii Zhelezniak, Aleksandar Savkov and Nils Hammerla	N/A	N/A
Evaluating Dialogue Generation Systems via Response Selection	Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki and Kentaro Inui	N/A	N/A
Evaluating Robustness to Input Perturbations for Neural Machine Translation	Xing Niu, Prashant Mathur, Georgiana Dinu and Yaser Al-Onaizan	N/A	N/A
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks	Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen and Liang Wang	N/A	N/A
ExpBERT: Representation Engineering with Natural Language Explanations	Shikhar Murty, Pang Wei Koh and Percy Liang	N/A	N/A
Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness	Khalid Al Khatib, Michael Völske, Shahbaz Syed, Nikolay Kolyada and Benno Stein	N/A	N/A
Exploring Content Selection in Summarization of Novel Chapters	Faisal Ladhak, Bryan Li, Yaser Al-Onaizan and Kathy McKeown	N/A	N/A
Fact-based Content Weighting for Evaluating Abstractive Summarisation	Xinnuo Xu, Ondřej Dušek, Jingyi Li, Verena Rieser and Ioannis Konstas	N/A	N/A
Fatality Killed the Cat or: BabelPic, a Multimodal Dataset for Non-Concrete Concepts	Agostina Calabrese, Michele Bevilacqua and Roberto Navigli	N/A	N/A
Few-Shot NLG with Pre-Trained Language Model	Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu and William Yang Wang	N/A	N/A
FLAT: Chinese NER Using Flat-Lattice Transformer	Xiaonan Li, Hang Yan, Xipeng Qiu and Xuanjing Huang	N/A	N/A
GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples	Danilo Croce, Giuseppe Castellucci and Roberto Basili	N/A	N/A
Geometry-aware domain adaptation for unsupervised alignment of word embeddings	Pratik Jawanpuria, Mayank Meghwanshi and Bamdev Mishra	N/A	N/A
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?	Kobi Leins, Jey Han Lau and Timothy Baldwin	N/A	N/A
Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs	Hong-You Chen, SZ-HAN YU and Shou-de Lin	N/A	N/A
GPT-too: A language-model-first approach for AMR-to-text generation	Manuel Mager, Ramón Fernandez Astudillo, Tahira Naseem, Md Arafat Sultan, Young-Suk Lee, Radu Florian and Salim Roukos	N/A	N/A
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?	Tal Linzen	N/A	N/A
Hypernymy Detection for Low-Resource Languages via Meta Learning	Changlong Yu, Jialong Han, Haisong Zhang and Wilfred Ng	N/A	N/A
Identifying Principals and Accessories in a Complex Case based on the Comprehension of Fact Description	Yakun Hu, Zhunchen Luo and Wenhan Chao	N/A	N/A
Implicit Discourse Relation Classification: We Need to Talk about Evaluation	Najoung Kim, Song Feng, Chulaka Gunasekara and Luis Lastras	N/A	N/A
Improved Speech Representations with Multi-Target Autoregressive Predictive Coding	Yu-An Chung and James Glass	N/A	N/A
Improving Entity Linking through Semantic Reinforced Entity Embeddings	Feng Hou, Ruili Wang, Jun He and Yi Zhou	N/A	N/A
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling	Canasai Kruengkrai, Thien Hai Nguyen, Sharifah Mahani Aljunied and Lidong Bing	N/A	N/A
Improving Non-autoregressive Neural Machine Translation with Monolingual Data	Jiawei Zhou and Phillip Keung	N/A	N/A
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation	Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu and Graham Neubig	N/A	N/A
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition	Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno and Kentaro Inui	N/A	N/A
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder	Fan Zhou, Shengming Zhang and Yi Yang	N/A	N/A
Interpreting Twitter User Geolocation	Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang and Yi Yang	N/A	N/A
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds	Kawin Ethayarajh	N/A	N/A
It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information	Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell and Naoaki Okazaki	N/A	N/A
Keyphrase Generation for Scientific Document Retrieval	Florian Boudin, Ygor Gallina and Akiko Aizawa	N/A	N/A
Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms	Simeon Schüz and Sina Zarrieß	N/A	N/A
Language-aware Interlingua for Multilingual Neural Machine Translation	Changfeng Zhu, Heng Yu, Shanbo Cheng and Weihua Luo	N/A	N/A
Learning an Unreferenced Metric for Online Dialogue Evaluation	Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton and Joelle Pineau	N/A	N/A
Learning Implicit Text Generation via Feature Matching	Inkit Padhi, Pierre Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh and Payel Das	N/A	N/A
Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment	Yinpei Dai, Hangyu Li, Chengguang Tang, Yongbin Li, Jian Sun and Xiaodan Zhu	N/A	N/A
Learning Robust Models for e-Commerce Product Search	Thanh Nguyen, Nikhil Rao and Karthik Subbian	N/A	N/A
Learning Spoken Language Representations with Neural Lattice Language Modeling	Chao-Wei Huang and Yun-Nung Chen	N/A	N/A
Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge	Keqing He, Yuanmeng Yan and Weiran XU	N/A	N/A
Learning to Understand Child-directed and Adult-directed Speech	Lieke Gelderloos, Grzegorz Chrupała and Afra Alishahi	N/A	N/A
Let Me Choose: From Verbal Context to Font Selection	Amirreza Shirani, Franck Dernoncourt, Jose Echevarria, Paul Asente, Nedim Lipka and Thamar Solorio	N/A	N/A
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation	Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Chen, Sneha Kudugunta, Naveen Arivazhagan and Yonghui Wu	N/A	N/A
Lexically Constrained Neural Machine Translation with Levenshtein Transformer	Raymond Hendy Susanto, Shamil Chollampatt and Liling Tan	N/A	N/A
Lipschitz Constrained Parameter Initialization for Deep Transformers	Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong and Jingyi Zhang	N/A	N/A
Logic-Guided Data Augmentation and Regularization for Consistent Question Answering	Akari Asai and Hannaneh Hajishirzi	N/A	N/A
Low Resource Sequence Tagging using Sentence Reconstruction	Tal Perl, Sriram Chaudhury and Raja Giryes	N/A	N/A
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations	Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz and Phil Blunsom	N/A	N/A
Masking Actor Information Leads to Fairer Political Claims Detection	Erenay Dayanik and Sebastian Padó	N/A	N/A
Meta-Transfer Learning for Code-Switched Speech Recognition	Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Peng Xu and Pascale Fung	N/A	N/A
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization	Shengyu Jia, Tao Meng, Jieyu Zhao and Kai-Wei Chang	N/A	N/A
Modeling Label Semantics for Predicting Emotional Reactions	Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian and Nathanael Chambers	N/A	N/A
Modeling Long Context for Task-Oriented Dialogue State Generation	Jun Quan and Deyi Xiong	N/A	N/A
Modeling Word Formation in English–German Neural Machine Translation	Marion Weller-Di Marco and Alexander Fraser	N/A	N/A
MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs	Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu and Jie Tang	N/A	N/A
Multimodal and Multiresolution Speech Recognition with Transformers	Georgios Paraskevopoulos, Srinivas Parthasarathy, Aparna Khare and Shiva Sundaram	N/A	N/A
Multimodal Quality Estimation for Machine Translation	Shu Okabe, Frédéric Blain and Lucia Specia	N/A	N/A
Multimodal Transformer for Multimodal Machine Translation	Shaowei Yao and Xiaojun Wan	N/A	N/A
Named Entity Recognition as Dependency Parsing	Juntao Yu, Bernd Bohnet and Massimo Poesio	N/A	N/A
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly	Nora Kassner and Hinrich Schütze	N/A	N/A
Neural Graph Matching Networks for Chinese Short Text Matching	Lu Chen, Yanbin Zhao, Boer Lv, Lesheng Jin, Zhi Chen, Su Zhu and Kai Yu	N/A	N/A
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter	Lixing Zhu, Yulan He and Deyu Zhou	N/A	N/A
Neural-DINF: A Neural Network based Framework for Measuring Document Influence	Jie Tan, Changlin Yang, Ying Li, Siliang Tang, Chen Huang and Yueting Zhuang	N/A	N/A
Non-Linear Instance-Based Cross-Lingual Mapping for Non-Isomorphic Embedding Spaces	Goran Glavaš and Ivan Vulić	N/A	N/A
“None of the Above”: Measure Uncertainty in Dialog Response Retrieval	Yulan Feng, Shikib Mehri, Maxine Eskenazi and Tiancheng Zhao	N/A	N/A
On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation	Chaojun Wang and Rico Sennrich	N/A	N/A
On Forgetting to Cite Older Papers: An Analysis of the ACL Anthology	Marcel Bollmann and Desmond Elliott	N/A	N/A
On Importance Sampling-Based Evaluation of Latent Language Models	Robert L Logan IV, Matt Gardner and Sameer Singh	N/A	N/A
On the Importance of Diversity in Question Generation for QA	Md Arafat Sultan, Shubham Chandel, Ramón Fernandez Astudillo and Vittorio Castelli	N/A	N/A
On the Spontaneous Emergence of Discrete and Compositional Signals	Nur Geffen Lan, Emmanuel Chemla and Shane Steinert-Threlkeld	N/A	N/A
OpinionDigest: A Simple Framework for Opinion Summarization	Yoshihiko Suhara, Xiaolan Wang, Stefanos Angelidis and Wang-Chiew Tan	N/A	N/A
Opportunistic Decoding with Timely Correction for Simultaneous Translation	Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu and Liang Huang	N/A	N/A
Overestimation of Syntactic Representation in Neural Language Models	Jordan Kodner and Nitish Gupta	N/A	N/A
Parallel Data Augmentation for Formality Style Transfer	Yi Zhang, Tao Ge and Xu SUN	N/A	N/A
Parallel Sentence Mining by Constrained Decoding	Pinzhen Chen, Nikolay Bogoychev, Kenneth Heafield and Faheem Kirefu	N/A	N/A
Posterior Calibrated Training on Sentence Classification Tasks	Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch and Thomas Schaaf	N/A	N/A
Predicting Degrees of Technicality in Automatic Terminology Extraction	Anna Hätty, Dominik Schlechtweg, Michael Dorna and Sabine Schulte im Walde	N/A	N/A
Pretrained Transformers Improve Out-of-Distribution Robustness	Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, Adam Dziedzic, Rishabh Krishnan and Dawn Song	N/A	N/A
Quantifying Attention Flow in Transformers	Samira Abnar and Willem Zuidema	N/A	N/A
Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases	Yunshi Lan and Jing Jiang	N/A	N/A
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason	Naoya Inoue, Pontus Stenetorp and Kentaro Inui	N/A	N/A
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models	Maarten Sap, Eric Horvitz, Yejin Choi, Noah A. Smith and James Pennebaker	N/A	N/A
Recursive Template-based Frame Generation for Task Oriented Dialog	Rashmi Gangadharaiah and Balakrishnan Narayanaswamy	N/A	N/A
Regularized Context Gates on Transformer for Machine Translation	Xintong Li, Lemao Liu, Rui Wang, Guoping Huang and Max Meng	N/A	N/A
Relation Extraction with Explanation	Hamed Shahbazi, Xiaoli Fern, Reza Ghaeini and Prasad Tadepalli	N/A	N/A
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs	Michael Lepori, Tal Linzen and R. Thomas McCoy	N/A	N/A
Returning the N to NLP: Towards Contextually Personalized Classification Models	Lucie Flek	N/A	N/A
Reverse Engineering Configurations of Neural Text Generation Models	Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler and Andrew Tomkins	N/A	N/A
Revisiting Higher-Order Dependency Parsers	Erick Fonseca and André F. T. Martins	N/A	N/A
Revisiting Unsupervised Relation Extraction	Thy Thy Tran, Phong Le and Sophia Ananiadou	N/A	N/A
SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions	Mao Ye, Chengyue Gong and Qiang Liu	N/A	N/A
Self-Attention Guided Copy Mechanism for Abstractive Summarization	Song Xu, Haoran Li, Peng Yuan, Youzheng Wu, Xiaodong He and Bowen Zhou	N/A	N/A
Self-Attention with Cross-Lingual Position Representation	Liang Ding, Longyue Wang and Dacheng Tao	N/A	N/A
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity	Nina Poerner, Ulli Waltinger and Hinrich Schütze	N/A	N/A
Shape of synth to come: Why we should use synthetic data for English surface realization	Henry Elder, Robert Burke, Alexander O’Connor and Jennifer Foster	N/A	N/A
Shaping Visual Representations with Language for Few-Shot Classification	Jesse Mu, Percy Liang and Noah Goodman	N/A	N/A
Showing Your Work Doesn’t Always Work	Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu and Jimmy Lin	N/A	N/A
Simple and Effective Retrieve-Edit-Rerank Text Generation	Nabil Hossain, Marjan Ghazvininejad and Luke Zettlemoyer	N/A	N/A
Simultaneous Translation Policies: From Fixed to Adaptive	Baigong Zheng, Kaibo Liu, Renjie Zheng, Mingbo Ma, Hairong Liu and Liang Huang	N/A	N/A
Single Model Ensemble using Pseudo-Tags and Distinct Vectors	Ryosuke Kuwabara, Jun Suzuki and Hideki Nakayama	N/A	N/A
Smart To-Do: Automatic Generation of To-Do Items from Emails	Sudipto Mukherjee, Subhabrata Mukherjee, Marcello Hasegawa, Ahmed Hassan Awadallah and Ryen White	N/A	N/A
Social Biases in NLP Models as Barriers for Persons with Disabilities	Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong and Stephen Denuyl	N/A	N/A
Soft Gazetteers for Low-Resource Named Entity Recognition	Shruti Rijhwani, Shuyan Zhou, Graham Neubig and Jaime Carbonell	N/A	N/A
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations	Samuel Coope, Tyler Farghly, Daniela Gerz, Ivan Vulić and Matthew Henderson	N/A	N/A
Stolen Probability: A Structural Weakness of Neural Language Models	David Demeter, Gregory Kimmel and Doug Downey	N/A	N/A
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture	Christopher Brix, Parnia Bahar and Hermann Ney	N/A	N/A
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization	Yang Gao, Wei Zhao and Steffen Eger	N/A	N/A
Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi	Aryaman Arora, Luke Gessler and Nathan Schneider	N/A	N/A
Syntactic Data Augmentation Increases Robustness to Inference Heuristics	Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler and Tal Linzen	N/A	N/A
Tagged Back-translation Revisited: Why Does It Really Work?	Benjamin Marie, Raphael Rubino and Atsushi Fujita	N/A	N/A
tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection	Nicole Peinelt, Dong Nguyen and Maria Liakata	N/A	N/A
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering	Alexander Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati and Bing Xiang	N/A	N/A
Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference	Nikita Kitaev and Dan Klein	N/A	N/A
Text Classification with Negative Supervision	Sora Ohashi, Junya Takayama, Tomoyuki Kajiwara, Chenhui Chu and Yuki Arase	N/A	N/A
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks	Sinong Wang, Madian Khabsa and Hao Ma	N/A	N/A
Topological Sort for Sentence Ordering	Shrimai Prabhumoye, Ruslan Salakhutdinov and Alan W Black	N/A	N/A
Toward Better Storylines with Sentence-Level Language Models	Daphne Ippolito, David Grangier, Douglas Eck and Chris Callison-Burch	N/A	N/A
Towards Better Non-Tree Argument Mining: Proposition-Level Biaffine Parsing with Task-Specific Parameterization	Gaku Morio, Hiroaki Ozaki, Terufumi Morishita, Yuta Koreeda and Kohsuke Yanai	N/A	N/A
Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations	Karan Singla, Zhuohao Chen, David Atkins and Shrikanth Narayanan	N/A	N/A
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?	Alon Jacovi and Yoav Goldberg	N/A	N/A
Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation	Aakanksha Naik and Carolyn Rose	N/A	N/A
Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering	Changmao Li and Jinho D. Choi	N/A	N/A
Treebank Embedding Vectors for Out-of-domain Dependency Parsing	Joachim Wagner, James Barry and Jennifer Foster	N/A	N/A
Tree-Structured Neural Topic Model	Masaru Isonuma, Junichiro Mori, Danushka Bollegala and Ichiro Sakata	N/A	N/A
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition	Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar and Xiang Ren	N/A	N/A
Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data	Hamidreza Shahidi, Ming Li and Jimmy Lin	N/A	N/A
Uncertain Natural Language Inference	Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi and Benjamin Van Durme	N/A	N/A
Understanding Advertisements with BERT	Kanika Kalra, Bhargav Kurma, Silpa Vadakkeeveetil Sreelatha, Manasi Patwardhan and Shirish Karande	N/A	N/A
Unsupervised FAQ Retrieval with Question Generation and BERT	Yosi Mass, Boaz Carmeli, Haggai Roitman and David Konopnicki	N/A	N/A
Using Context in Neural Machine Translation Training Objectives	Danielle Saunders, Felix Stahlberg and Bill Byrne	N/A	N/A
Variational Neural Machine Translation with Normalizing Flows	Hendra Setiawan, Matthias Sperber, Udhyakumar Nallasamy and Matthias Paulik	N/A	N/A
Verbal Multiword Expressions for Identification of Metaphor	Omid Rohanian, Marek Rei, Shiva Taslimipoor and Le An Ha	N/A	N/A
Video-Grounded Dialogues with Pretrained Generation Language Models	Hung Le and Steven C.H. Hoi	N/A	N/A
What Does BERT with Vision Look At?	Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh and Kai-Wei Chang	N/A	N/A
What is Learned in Visually Grounded Neural Syntax Acquisition	Noriyuki Kojima, Hadar Averbuch-Elor, Alexander Rush and Yoav Artzi	N/A	N/A
Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries	Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul and Jordan Boyd-Graber	N/A	N/A
Will-They-Won’t-They: A Very Large Dataset for Stance Detection on Twitter	Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd and Nigel Collier	N/A	N/A
Words aren’t enough, their order matters: On the Robustness of Grounding Visual Referring Expressions	Arjun Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu and Siva Reddy	N/A	N/A
Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation	Shun-Po Chuang, Tzu-Wei Sung, Alexander H. Liu and Hung-yi Lee	N/A	N/A
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences	Yi Tay, Donovan Ong, Jie Fu, Alvin Chan, Nancy Chen, Anh Tuan Luu and Chris Pal	N/A	N/A
You Don’t Have Time to Read This: An Exploration of Document Reading Time Prediction	Orion Weller, Jordan Hildebrandt, Ilya Reznik, Christopher Challis, E. Shannon Tass, Quinn Snell and Kevin Seppi	N/A	N/A
``You Sound Just Like Your Father’’ Commercial Machine Translation Systems Include Stylistic Biases	Dirk Hovy, Federico Bianchi and Tommaso Fornaciari	N/A	N/A
ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT	Linfeng Song, Kun Xu, Yue Zhang, Jianshu Chen and Dong Yu	N/A	N/A
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents	Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic and Ngoc Thang Vu	N/A	N/A
BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab	Yonghao Jin, Fei Li and Hong Yu	N/A	N/A
Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes	Pengfei Cao, Chenwei Yan, xiangling fu, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu and Weifeng Chong	N/A	N/A
CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task	Shuo Sun, Suzanna Sia and Kevin Duh	N/A	N/A
Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems	Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng and Jianfeng Gao	N/A	N/A
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems	Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, xiaoyan zhu and Minlie Huang	N/A	N/A
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation	Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu and Bill Dolan	N/A	N/A
Embedding-based Scientific Literature Discovery in a Text Editor Application	Onur Gökçe, Jonathan Prada, Nikola Nikolov, Nianlong Gu and Richard Hahnloser	N/A	N/A
ESPnet-ST: All-in-One Speech Translation Toolkit	Hirofumi Inaguma, Shun Kiyono, Kevin Duh, Shigeki Karita, Nelson Yalta, Tomoki Hayashi and Shinji Watanabe	N/A	N/A
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences	Xuan Wang, Yingjun Guan, Weili Liu, Aabhas Chauhan, Enyi Jiang, Qi Li, David Liem, Dibakar Sigdel, John Caufield, Peipei Ping and Jiawei Han	N/A	N/A
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models	Benjamin Hoover, Hendrik Strobelt and Sebastian Gehrmann	N/A	N/A
GAIA: A Fine-grained Multimedia Knowledge Extraction System	Manling Li, Alireza Zareian, Ying Lin, Xiaoman Pan, Spencer Whitehead, BRIAN CHEN, Bo Wu, Heng Ji, Shih-Fu Chang, Clare Voss, Daniel Napierski and Marjorie Freedman	N/A	N/A
Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations	Toby Jia-Jun Li, Tom Mitchell and Brad Myers	N/A	N/A
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models	Yada Pruksachatkun, Phil Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney and Samuel R. Bowman	N/A	N/A
Label Noise in Context	Michael Desmond, Catherine Finegan-Dollak, Jeff Boston and Matt Arnold	N/A	N/A
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation	Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves and Xiang Ren	N/A	N/A
LinggleWrite: a Coaching System for Essay Writing	Chung-Ting Tsai, Jhih-Jie Chen, Chingyu Yang and Jason Chang	N/A	N/A
MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform	Xiang Gao, Michel Galley and Bill Dolan	N/A	N/A
MMPE: A Multi-Modal Interface using Handwriting, Touch Reordering, and Speech Commands for Post-Editing Machine Translation	Nico Herbig, Santanu Pal, Tim Düwel, Kalliopi Maria Meladaki, Mahsa Monshizadeh, Vladislav Hnatovskiy, Antonio Krüger and Josef van Genabith	N/A	N/A
Multilingual Universal Sentence Encoder for Semantic Retrieval	Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernandez Abrego, Steve Yuan, Chris Tar, Yun-hsuan Sung, Brian Strope and Ray Kurzweil	N/A	N/A
Nakdan: Professional Hebrew Diacritizer	Avi Shmidman, Shaltiel Shmidman, Moshe Koppel and Yoav Goldberg	N/A	N/A
NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature	Saif Mohammad	N/A	N/A
NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg	Joshua Bambrick, Minjie Xu, Andy Almonte, Igor Malioutov, Guim Perarnau, Vittorio Selo and Iat Chong Chan	N/A	N/A
OpusFilter: A Configurable Parallel Corpus Filtering Toolbox	Mikko Aulamo, Sami Virpioja and Jörg Tiedemann	N/A	N/A
Penman: An Open-Source Library and Tool for AMR Graphs	Michael Wayne Goodman	N/A	N/A
Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation	Federico Scozzafava, Marco Maru, Fabrizio Brignone, Giovanni Torrisi and Roberto Navigli	N/A	N/A
Photon: A Robust Cross-Domain Text-to-SQL System	Jichuan Zeng, Xi Victoria Lin, Steven C.H. Hoi, Richard Socher, Caiming Xiong, Michael Lyu and Irwin King	N/A	N/A
Prta: A System to Support the Analysis of Propaganda Techniques in the News	Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño and Preslav Nakov	N/A	N/A
pyBART: Evidence-based Syntactic Transformations for IE	Aryeh Tiktinsky, Yoav Goldberg and Reut Tsarfaty	N/A	N/A
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages	Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton and Christopher D. Manning	N/A	N/A
Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines	Nabil Hossain, John Krumm, Tanvir Sajed and Henry Kautz	N/A	N/A
SUPP.AI: finding evidence for supplement-drug interactions	Lucy Wang, Oyvind Tafjord, Arman Cohan, Sarthak Jain, Sam Skjonsberg, Carissa Schoenick, Nick Botner and Waleed Ammar	N/A	N/A
Syntactic Search by Example	Micah Shlain, Hillel Taub-Tabib, Shoval Sadde and Yoav Goldberg	N/A	N/A
SyntaxGym: An Online Platform for Targeted Evaluation of Language Models	Jon Gauthier, Jennifer Hu, Ethan Wilcox, Peng Qian and Roger Levy	N/A	N/A
Tabouid: a Wikipedia-based word guessing game	Timothée Bernard	N/A	N/A
Talk to Papers: Bringing Neural Question Answering to Academic Search	Tiancheng Zhao and Kyusong Lee	N/A	N/A
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing	Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang and Guoping Hu	N/A	N/A
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding	Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao and Jianfeng Gao	N/A	N/A
Torch-Struct: Deep Structured Prediction Library	Alexander Rush	N/A	N/A
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time	Benjamin Nye, Ani Nenkova, Iain Marshall and Byron C. Wallace	N/A	N/A
Usnea: An Authorship Tool for Interactive Fiction using Retrieval Based Semantic Parsing	Ben Swanson and Boris Smus	N/A	N/A
What’s The Latest? A Question-driven News Chatbot	Philippe Laban, John Canny and Marti A. Hearst	N/A	N/A
Xiaomingbot: A Multilingual Robot News Reporter	Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang and Lei Li	N/A	N/A
#NotAWhore! A Computational Linguistic Perspective of Rape Culture and Victimization on Social Media	Ashima Suvarna and Grusha Bhalla	N/A	N/A
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples	Zhao Meng and Roger Wattenhofer	N/A	N/A
A Simple and Effective Dependency parser for Telugu	Sneha Nallani, Manish Shrivastava and Dipti Sharma	N/A	N/A
Adaptive Transformers for Learning Multimodal Representations	Prajjwal Bhargava	N/A	N/A
AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss	Mahmoud Daif, Shunsuke Kitada and Hitoshi Iyatomi	N/A	N/A
Building a Japanese Typo Dataset from Wikipedia’s Revision History	Yu Tanaka, Yugo Murawaki, Daisuke Kawahara and Sadao Kurohashi	N/A	N/A
Checkpoint Reranking: An Approach To Select Better Hypothesis For Neural Machine Translation Systems	Vinay Pandramish and Dipti Misra Sharma	N/A	N/A
Combining Subword Representations into Word-level Representations in the Transformer Architecture	Noe Casas, Marta R. Costa-jussà and José A. R. Fonollosa	N/A	N/A
Compositional generalization by factorizing alignment and translation	Jacob Russin, Jason Jo, Randall O’Reilly and Yoshua Bengio	N/A	N/A
Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling	David Harbecke and Christoph Alt	N/A	N/A
Crossing the Line: Where do Demographic Variables Fit into Humor Detection?	J. A. Meaney	N/A	N/A
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup	Jishnu Ray Chowdhury, Cornelia Caragea and Doina Caragea	N/A	N/A
Dominance as an Indicator of Rapport and Learning in Human-Agent Communication	Amanda Buddemeyer, Xiaoyi Tian and Erin Walker	N/A	N/A
Effectively Aligning and Filtering Parallel Corpora under Sparse Data Conditions	Steinþór Steingrímsson	N/A	N/A
Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages	Vikrant Goyal, Sourav Kumar and Dipti Misra Sharma	N/A	N/A
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition	Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki and Kentaro Inui	N/A	N/A
Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources	Magdalena Biesialska, bardia rafieian and Marta R. Costa-jussà	N/A	N/A
Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder	Zheng Tang, Gus Hahn-Powell and Mihai Surdeanu	N/A	N/A
Exploring the Role of Context to Distinguish Rhetorical and Information-Seeking Questions	Yuan Zhuang and Ellen Riloff	N/A	N/A
Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information	Hyeryun Park, Kyungmo Kim, Jooyoung Yoon, Seongkeun Park and Jinwook Choi	N/A	N/A
Grammatical Error Correction Using Pseudo Learner Corpus Considering Learner’s Error Tendency	Yujin Takahashi, Satoru Katsumata and Mamoru Komachi	N/A	N/A
HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing	Miaomiao Yu, Yujiu Yang and Chenhui Li	N/A	N/A
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?	Gantavya Bhatt, Hritik Bansal, Rishubh Singh and Sumeet Agarwal	N/A	N/A
υBLEU: Uncertainty-Aware Automatic Evaluation Method for Open-Domain Dialogue Systems	Tsuta Yuma, Naoki Yoshinaga and Masashi Toyoda	N/A	N/A
Inducing Grammar from Long Short-Term Memory Networks by Shapley Decomposition	Yuhui Zhang and Allen Nie	N/A	N/A
Let’s be Humorous: Knowledge Enhanced Humor Generation	Hang Zhang, Dayiheng Liu, Jiancheng Lv and Luo Cheng	N/A	N/A
Logical Inferences with Comparatives and Generalized Quantifiers	Izumi Haruta, Koji Mineshima and Daisuke Bekki	N/A	N/A
Media Bias, the Social Sciences, and NLP: Automating Frame Analyses to Identify Bias by Word Choice and Labeling	Felix Hamborg	N/A	N/A
Multi-Task Neural Model for Agglutinative Language Translation	Yirong Pan, Xiao Li, Yating Yang and Rui Dong	N/A	N/A
Noise-Based Augmentation Techniques for Emotion Datasets: What do we Recommend?	Mimansa Jaiswal and Emily Mower Provost	N/A	N/A
Non-Topical Coherence in Social Talk: A Call for Dialogue Model Enrichment	Alex Lưu and Sophia A. Malamud	N/A	N/A
Pointwise Paraphrase Appraisal is Potentially Problematic	Hannah Chen, Yangfeng Ji and David Evans	N/A	N/A
Pre-training via Leveraging Assisting Languages for Neural Machine Translation	Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi and Eiichiro Sumita	N/A	N/A
Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation	Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita and Kentaro Inui	N/A	N/A
Reflection-based Word Attribute Transfer	Yoichi Ishibashi, Katsuhito Sudoh, Koichiro Yoshino and Satoshi Nakamura	N/A	N/A
Research on Task Discovery for Transfer Learning in Deep Neural Networks	Arda Akdemir	N/A	N/A
Research Replication Prediction Using Weakly Supervised Learning	Tianyi Luo, Xingyu Li, Hainan Wang and Yang Liu	N/A	N/A
RPD: A Distance Function Between Word Embeddings	Xuhui Zhou, Shujian Huang and Zaixiang Zheng	N/A	N/A
SCAR: Sentence Compression using Autoencoders for Reconstruction	Chanakya Malireddy, Tirth Maniar and Manish Shrivastava	N/A	N/A
Self-Attention is Not Only a Weight: Analyzing BERT with Vector Norms	Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi and Kentaro Inui	N/A	N/A
Story-level Text Style Transfer: A Proposal	Yusu Qian	N/A	N/A
To compress or not to compress? A Finite-State approach to Nen verbal morphology	Saliha Muradoglu, Nicholas Evans and Hanna Suominen	N/A	N/A
Topic balancing with additive regularization of topic models	Eugeniia Veselova and Konstantin Vorontsov	N/A	N/A
Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya	Abrhalei Frezghi Tela, Abraham Woubie Zewoudie and Ville Hautamäki	N/A	N/A
Understanding Points of Correspondence between Sentences for Abstractive Summarization	Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang and Fei Liu	N/A	N/A
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining	Ivana Kvapilíková, Mikel Artetxe, Gorka Labaka, Eneko Agirre and Ondřej Bojar	N/A	N/A
Unsupervised Paraphasia Classification in Aphasic Speech	Sharan Pai, Nikhil Sachdeva, Prince Sachdeva and Rajiv Ratn Shah	N/A	N/A
Why is penguin more similar to polar bear than to sea gull? Analyzing conceptual knowledge in distributional models	Pia Sommerauer	N/A	N/A
Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition	Hwichan Kim, Tosho Hirasawa and Mamoru Komachi	N/A	N/A
2kenize: Tying Subword Sequences for Chinese Script Conversion	Pranav A and Isabelle Augenstein	N/A	N/A
A Batch Normalized Inference Network Keeps the KL Vanishing Away	Qile Zhu, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li and Dapeng Wu	N/A	N/A
A Call for More Rigor in Unsupervised Cross-lingual Learning	Mikel Artetxe, Sebastian Ruder, Dani Yogatama, Gorka Labaka and Eneko Agirre	N/A	N/A
A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks	Nastaran Babanejad, Ameeta Agrawal, Aijun An and Manos Papagelis	N/A	N/A
A Contextual Hierarchical Attention Network with Adaptive Objective for Dialogue State Tracking	Yong Shan, Zekang Li, Jinchao Zhang, Fandong Meng, Yang Feng, Cheng Niu and Jie Zhou	N/A	N/A
A Corpus for Large-Scale Phonetic Typology	Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W Black and Jason Eisner	N/A	N/A
A Formal Hierarchy of RNN Architectures	William Merrill, Gail Weiss, Yoav Goldberg, Roy Schwartz, Noah A. Smith and Eran Yahav	N/A	N/A
A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization	Dongfang Xu, Zeyu Zhang and Steven Bethard	N/A	N/A
A Generative Model for Joint Natural Language Understanding and Generation	Bo-Hsiang Tseng, Jianpeng Cheng, Yimai Fang and David Vandyke	N/A	N/A
A Girl Has A Name: Detecting Authorship Obfuscation	Asad Mahmood, Zubair Shafiq and Padmini Srinivasan	N/A	N/A
A Graph Auto-encoder Model of Derivational Morphology	Valentin Hofmann, Hinrich Schütze and Janet Pierrehumbert	N/A	N/A
A Graph-based Coarse-to-fine Method for Unsupervised Bilingual Lexicon Induction	Shuo Ren, Shujie Liu, Ming Zhou and Shuai Ma	N/A	N/A
A Joint Model for Document Segmentation and Segment Labeling	Joe Barrow, Rajiv Jain, Vlad Morariu, Varun Manjunatha, Douglas Oard and Philip Resnik	N/A	N/A
A Joint Neural Model for Information Extraction with Global Features	Ying Lin, Heng Ji, Fei Huang and Lingfei Wu	N/A	N/A
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation	Jan Deriu, Katsiaryna Mlynchyk, Philippe Schläpfer, Alvaro Rodrigo, Dirk von Grünigen, Nicolas Kaiser, Kurt Stockinger, Eneko Agirre and Mark Cieliebak	N/A	N/A
A Mixture of h − 1 Heads is Better than h Heads	Hao Peng, Roy Schwartz, Dianqi Li and Noah A. Smith	N/A	N/A
A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages	Pedro Javier Ortiz Suárez, Laurent Romary and Benoît Sagot	N/A	N/A
A Multitask Learning Approach for Diacritic Restoration	Sawsan Alqahtani, Ajay Mishra and Mona Diab	N/A	N/A
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction	Zhepei Wei, Jianlin Su, Yue Wang, Yuan Tian and Yi Chang	N/A	N/A
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation	Yongjing Yin, Fandong Meng, Jinsong Su, Chulun Zhou, Zhengyuan Yang, Jie Zhou and Jiebo Luo	N/A	N/A
A Prioritization Model for Suicidality Risk Assessment	Han-Chin Shing, Philip Resnik and Douglas Oard	N/A	N/A
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks	Angela Lin, Sudha Rao, Asli Celikyilmaz, Elnaz Nouri, Chris Brockett, Debadeepta Dey and Bill Dolan	N/A	N/A
A Reinforced Generation of Adversarial Examples for Neural Machine Translation	Wei Zou, Shujian Huang, Jun Xie, Xinyu Dai and Jiajun Chen	N/A	N/A
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction	Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu and Minlie Huang	N/A	N/A
A Span-based Linearization for Constituent Trees	Yang Wei, Yuanbin Wu and Man Lan	N/A	N/A
A Study of Non-autoregressive Model for Sequence Generation	Yi Ren, Jinglin Liu, Xu Tan, Zhou Zhao, Sheng Zhao and Tie-Yan Liu	N/A	N/A
A Systematic Assessment of Syntactic Generalization in Neural Language Models	Jennifer Hu, Jon Gauthier, Peng Qian, Ethan Wilcox and Roger Levy	N/A	N/A
A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer’s Type	Trevor Cohen and Serguei Pakhomov	N/A	N/A
A Top-down Neural Architecture towards Text-level Parsing of Discourse Rhetorical Structure	Longyin Zhang, Yuqing Xing, Fang Kong, Peifeng Li and Guodong Zhou	N/A	N/A
A Unified MRC Framework for Named Entity Recognition	Xiaoya Li, Jingrong Feng, Yuxian Meng, Qinghong Han, Fei Wu and Jiwei Li	N/A	N/A
Adaptive Compression of Word Embeddings	Yeachan Kim, Kang-Min Kim and SangKeun Lee	N/A	N/A
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation	Arya D. McCarthy, Xian Li, Jiatao Gu and Ning Dong	N/A	N/A
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation	Yong Cheng, Lu Jiang, Wolfgang Macherey and Jacob Eisenstein	N/A	N/A
Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis	Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi and Jianxin Liao	N/A	N/A
Adversarial NLI: A New Benchmark for Natural Language Understanding	Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston and Douwe Kiela	N/A	N/A
Agreement Prediction of Arguments in Cyber Argumentation for Detecting Stance Polarity and Intensity	Joseph Sirrianni, Xiaoqing Liu and Douglas Adams	N/A	N/A
Aligned Dual Channel Graph Convolutional Network for Visual Question Answering	Qingbao Huang, Jielong Wei, Yi Cai, Changmeng Zheng, Junying Chen, Ho-fung Leung and Qing Li	N/A	N/A
Amalgamation of protein sequence, structure and textual information for improving protein-protein interaction identification	Pratik Dutta and Sriparna Saha	N/A	N/A
AMR Parsing via Graph-Sequence Iterative Inference	Deng Cai and Wai Lam	N/A	N/A
AMR Parsing with Latent Structural Information	Qiji Zhou, Yue Zhang, Donghong Ji and Hao Tang	N/A	N/A
An analysis of the utility of explicit negative examples to improve the syntactic abilities of neural language models	Hiroshi Noji and Hiroya Takamura	N/A	N/A
An Effective Transition-based Model for Discontinuous NER	Xiang Dai, Sarvnaz Karimi, Ben Hachey and Cecile Paris	N/A	N/A
An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results	Enrique Amigo, Julio Gonzalo, Stefano Mizzaro and Jorge Carrillo-de-Albornoz	N/A	N/A
An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering	Jay Kumar, Junming Shao, Salah Uddin and Wazir Ali	N/A	N/A
Analysing Lexical Semantic Change with Contextualised Word Representations	Mario Giulianelli, Marco Del Tredici and Raquel Fernández	N/A	N/A
Analyzing analytical methods: The case of phonology in neural models of spoken language	Grzegorz Chrupała, Bertrand Higy and Afra Alishahi	N/A	N/A
Analyzing Political Parody in Social Media	Antonios Maronikolakis, Danae Sánchez Villegas, Daniel Preotiuc-Pietro and Nikolaos Aletras	N/A	N/A
Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESupposition	Paloma Jeretic, Alex Warstadt, Suvrat Bhooshan and Adina Williams	N/A	N/A
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries	Alex Wang, Kyunghyun Cho and Mike Lewis	N/A	N/A
Aspect Sentiment Classification with Document-level Sentiment Preference Modeling	Xiao Chen, Changlong Sun, Jingjing Wang, Shoushan Li, Luo Si, Min Zhang and Guodong Zhou	N/A	N/A
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations	Fernando Alva-Manchego, Louis Martin, Antoine Bordes, Carolina Scarton, Benoît Sagot and Lucia Specia	N/A	N/A
Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization	Junnan Zhu, Yu Zhou, Jiajun Zhang and Chengqing Zong	N/A	N/A
Attentive Pooling with Learnable Norms for Text Representation	Chuhan Wu, Fangzhao Wu, Tao Qi, Xiaohui Cui and Yongfeng Huang	N/A	N/A
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics	Guy Emerson	N/A	N/A
Automated Evaluation of Writing – 50 Years and Counting	Beata Beigman Klebanov and Nitin Madnani	N/A	N/A
Automatic Detection of Generated Text is Easiest when Humans are Fooled	Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch and Douglas Eck	N/A	N/A
Automatic Generation of Citation Texts in Scholarly Papers: A Pilot Study	Xinyu Xing, Xiaosheng Fan and Xiaojun Wan	N/A	N/A
Automatic Poetry Generation from Prosaic Text	Tim Van de Cruys	N/A	N/A
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps	Wang Zhu, Hexiang Hu, Jiacheng Chen, Zhiwei Deng, Vihan Jain, Eugene Ie and Fei Sha	N/A	N/A
Balancing Objectives in Counseling Conversations: Advancing Forwards or Looking Backwards	Justine Zhang and Cristian Danescu-Niculescu-Mizil	N/A	N/A
Balancing Training for Multilingual Neural Machine Translation	Xinyi Wang, Yulia Tsvetkov and Graham Neubig	N/A	N/A
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension	Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov and Luke Zettlemoyer	N/A	N/A
Benchmarking Multimodal Regex Synthesis with Complex Structures	Xi Ye, Qiaochu Chen, Isil Dillig and Greg Durrett	N/A	N/A
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance	Timo Schick and Hinrich Schütze	N/A	N/A
Beyond Accuracy: Behavioral Testing of NLP Models with CheckList	Marco Tulio Ribeiro, Tongshuang Wu, Carlos Guestrin and Sameer Singh	N/A	N/A
Beyond Possession Existence: Duration and Co-Possession	Dhivya Chinnappa, Srikala Murugan and Eduardo Blanco	N/A	N/A
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation	Weixin Liang, James Zou and Zhou Yu	N/A	N/A
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences	Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo and Yue Zhang	N/A	N/A
Biomedical Entity Representations with Synonym Marginalization	Mujeen Sung, Hwisang Jeon, Jinhyuk Lee and Jaewoo Kang	N/A	N/A
Bipartite Flat-Graph Network for Nested Named Entity Recognition	Ying Luo and Hai Zhao	N/A	N/A
BiRRE: Learning Bidirectional Residual Relation Embeddings for Supervised Hypernymy Detection	Chengyu Wang and Xiaofeng He	N/A	N/A
BLEURT: Learning Robust Metrics for Text Generation	Thibault Sellam, Dipanjan Das and Ankur Parikh	N/A	N/A
Boosting Neural Machine Translation with Similar Translations	Jitao XU, Josep Crego and Jean Senellart	N/A	N/A
Bootstrapping Techniques for Polysynthetic Morphological Analysis	William Lane and Steven Bird	N/A	N/A
BPE-Dropout: Simple and Effective Subword Regularization	Ivan Provilkov, Dmitrii Emelianenko and Elena Voita	N/A	N/A
Breaking Through the 80% Glass Ceiling: Raising the State of the Art in Word Sense Disambiguation by Incorporating Knowledge Graph Information	Michele Bevilacqua and Roberto Navigli	N/A	N/A
Bridging Anaphora Resolution as Question Answering	Yufang Hou	N/A	N/A
Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation	Chao Zhao, Marilyn Walker and Snigdha Chaturvedi	N/A	N/A
Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell	Djamé Seddah, Farah Essaidi, Amal Fethi, Matthieu Futeral, Benjamin Muller, Pedro Javier Ortiz Suárez, Benoît Sagot and Abhishek Srivastava	N/A	N/A
Calibrating Structured Output Predictors for Natural Language Processing	Abhyuday Jagannatha and Hong Yu	N/A	N/A
CamemBERT: a Tasty French Language Model	Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, Yoann Dupont, Laurent Romary, Éric de la Clergerie, Djamé Seddah and Benoît Sagot	N/A	N/A
Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction	Samuel Broscheit, Kiril Gashteovski, Yanjie Wang and Rainer Gemulla	N/A	N/A
Can You Put it All Together: Evaluating Conversational Agents’ Ability to Blend Skills	Eric Michael Smith, Mary Williamson, Kurt Shuster, Jason Weston and Y-Lan Boureau	N/A	N/A
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation	Lei Shen and Yang Feng	N/A	N/A
ChartDialogs: Plotting from Natural Language Instructions	Yutong Shao and Ndapa Nakashole	N/A	N/A
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality	Wenmeng Yu, Hua Xu, Fanyang Meng, Yilin Zhu, Yixiao Ma, Jiele Wu, Jiyun Zou and Kaicheng Yang	N/A	N/A
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data	Emily M. Bender and Alexander Koller	N/A	N/A
Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset	Xiang Yue, Bernal Jimenez Gutierrez and Huan Sun	N/A	N/A
CluBERT: A Cluster-Based Approach for Learning Sense Distributions in Multiple Languages	Tommaso Pasini, Federico Scozzafava and Bianca Scarlini	N/A	N/A
CluHTM - Semantic Hierarchical Topic Modeling based on CluWords	Felipe Viegas, Washington Cunha, Christian Gomes, Antônio Pereira, Leonardo Rocha and Marcos Goncalves	N/A	N/A
Code and Named Entity Recognition in StackOverflow	Jeniya Tabassum, Mounica Maddela, Wei Xu and Alan Ritter	N/A	N/A
CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning	Alessandro Suglia, Ioannis Konstas, Andrea Vanzo, Emanuele Bastianelli, Desmond Elliott, Stella Frank and Oliver Lemon	N/A	N/A
Compositionality and Generalization In Emergent Languages	Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt, Emmanuel Dupoux and Marco Baroni	N/A	N/A
Conditional Augmentation for Aspect Term Extraction via Masked Sequence-to-Sequence Generation	Kun Li, Chengbo Chen, Xiaojun Quan, Qing Ling and Yan Song	N/A	N/A
Connecting Embeddings for Knowledge Graph Entity Typing	Yu Zhao, anxiang zhang, Ruobing Xie, Kang Liu and Xiaojie WANG	N/A	N/A
Contextualized Weak Supervision for Text Classification	Dheeraj Mekala and Jingbo Shang	N/A	N/A
Continual Relation Learning via Episodic Memory Activation and Reconsolidation	Xu Han, Yi Dai, Tianyu Gao, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun and Jie Zhou	N/A	N/A
Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation	Jun Xu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che and Ting Liu	N/A	N/A
CorefQA: Coreference Resolution as Query-based Span Prediction	Wei Wu, Fei Wang, Arianna Yuan, Fei Wu and Jiwei Li	N/A	N/A
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation	Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang and Haitao Zheng	N/A	N/A
CraftAssist Instruction Parsing: Semantic Parsing for a Voxel-World Assistant	Kavya Srinet, Yacine Jernite, Jonathan Gray and Arthur Szlam	N/A	N/A
Cross-Lingual Semantic Role Labeling with High-Quality Translated Training Corpus	Hao Fei, Meishan Zhang and Donghong Ji	N/A	N/A
Cross-Lingual Unsupervised Sentiment Classification with Multi-View Transfer Learning	Hongliang Fei and Ping Li	N/A	N/A
Cross-Linguistic Syntactic Evaluation of Word Prediction Models	Aaron Mueller, Garrett Nicolai, Panayiota Petrou-Zeniou, Natalia Talmina and Tal Linzen	N/A	N/A
Cross-media Structured Common Space for Multimedia Event Extraction	Manling Li, Alireza Zareian, Qi Zeng, Spencer Whitehead, Di Lu, Heng Ji and Shih-Fu Chang	N/A	N/A
Cross-modal Coherence Modeling for Caption Generation	Malihe Alikhani, Piyush Sharma, Shengjie Li, Radu Soricut and Matthew Stone	N/A	N/A
Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage	Ashish V. Thapliyal and Radu Soricut	N/A	N/A
Cross-Modality Relevance for Reasoning on Language and Vision	Chen Zheng, Quan Guo and Parisa Kordjamshidi	N/A	N/A
Curriculum Learning for Natural Language Understanding	Benfeng Xu, Licheng Zhang, Zhendong Mao, Quan Wang, Hongtao Xie and Yongdong Zhang	N/A	N/A
Curriculum Pre-training for End-to-End Speech Translation	Chengyi Wang, Yu Wu, Shujie Liu, Ming Zhou and Zhenglu Yang	N/A	N/A
Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight	Hengyi Cai, Hongshen Chen, Yonghao Song, Cheng Zhang, Xiaofang Zhao and Dawei Yin	N/A	N/A
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering	Qingqing Cao, Harsh Trivedi, Aruna Balasubramanian and Niranjan Balasubramanian	N/A	N/A
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting	Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu and Tiejun Zhao	N/A	N/A
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA	Hyounghun Kim, Zineng Tang and Mohit Bansal	N/A	N/A
Dependency Graph Enhanced Dual-transformer Structure for Aspect-based Sentiment Classification	Hao Tang, Donghong Ji, Chenliang Li and Qiji Zhou	N/A	N/A
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking	Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona Diab and Smaranda Muresan	N/A	N/A
Detecting Perceived Emotions in Hurricane Disasters	Shrey Desai, Cornelia Caragea and Junyi Jessy Li	N/A	N/A
Dialogue Coherence Assessment Without Explicit Dialogue Act Labels	Mohsen Mesgar, Sebastian Bücker and Iryna Gurevych	N/A	N/A
Dialogue-Based Relation Extraction	Dian Yu, Kai Sun, Claire Cardie and Dong Yu	N/A	N/A
Dice Loss for Data-imbalanced NLP Tasks	Xiaoya Li, Xiaofei Sun, Yuxian Meng, Junjun Liang, Fei Wu and Jiwei Li	N/A	N/A
Differentiable Window for Dynamic Local Attention	Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty and Xiaoli Li	N/A	N/A
Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event	Prafulla Kumar Choubey, Aaron Lee, Ruihong Huang and Lu Wang	N/A	N/A
Discourse-Aware Neural Extractive Text Summarization	Jiacheng Xu, Zhe Gan, Yu Cheng and Jingjing Liu	N/A	N/A
Discrete Latent Variable Representations for Low-Resource Text Classification	Shuning Jin, Sam Wiseman, Karl Stratos and Karen Livescu	N/A	N/A
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction	Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova and Katja Markert	N/A	N/A
Distilling Annotations via Active Imitation Learning	Kianté Brantley, Hal Daumé III and Amr Sharaf	N/A	N/A
Distilling Knowledge Learned in BERT for Text Generation	Yen-Chun Chen, Zhe Gan, Yu Cheng, Jingzhou Liu and Jingjing Liu	N/A	N/A
Distinguish Confusing Law Articles for Legal Judgment Prediction	Nuo Xu, Pinghui Wang, Long Chen, Li Pan, Xiaoyan Wang and Junzhou Zhao	N/A	N/A
Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness	Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou and Zhonghai Wu	N/A	N/A
Diversifying Dialogue Generation with Non-Conversational Text	Hui Su, Xiaoyu Shen, Sanqiang Zhao, Zhou Xiao, Pengwei Hu, Randy Zhong, Cheng Niu and Jie Zhou	N/A	N/A
Do Neural Language Models Show Preferences for Syntactic Formalisms?	Artur Kulmizev, Vinit Ravishankar, Mostafa Abdou and Joakim Nivre	N/A	N/A
Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?	Hitomi Yanaka, Koji Mineshima, Daisuke Bekki and Kentaro Inui	N/A	N/A
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension	Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou and Ting Liu	N/A	N/A
Document Translation vs. Query Translation for Cross-Lingual Information Retrieval in the Medical Domain	Shadi Saleh and Pavel Pecina	N/A	N/A
Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding	Xinya Du and Claire Cardie	N/A	N/A
Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training	Margaret Li, Stephen Roller, Ilia Kulikov, Sean Welleck, Y-Lan Boureau, Kyunghyun Cho and Jason Weston	N/A	N/A
Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks	Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey and Noah A. Smith	N/A	N/A
DoQA - Accessing Domain-Specific FAQs via Conversational QA	Jon Ander Campos, Arantxa Otegi, Aitor Soroa, Jan Deriu, Mark Cieliebak and Eneko Agirre	N/A	N/A
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation	Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez and Caiming Xiong	N/A	N/A
DRTS Parsing with Structure-Aware Encoding and Decoding	Qiankun Fu, Yue Zhang, Jiangming Liu and Meishan Zhang	N/A	N/A
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification	Lianwei Wu, Yuan Rao, Yongqiang Zhao, Hao Liang and Ambreen Nazir	N/A	N/A
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog	Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang and Ting Liu	N/A	N/A
Dynamic Online Conversation Recommendation	Xingshan Zeng, Jing Li, Lu Wang, Zhiming Mao and Kam-Fai Wong	N/A	N/A
Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation	Xuanli He, Gholamreza Haffari and Mohammad Norouzi	N/A	N/A
ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction	Zixiang Ding, Rui Xia and Jianfei Yu	N/A	N/A
Effective Estimation of Deep Generative Language Models	Tom Pelsmaeker and Wilker Aziz	N/A	N/A
Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction	Penghui Wei, Jiahao Zhao and Wenji Mao	N/A	N/A
Efficient Constituency Parsing by Pointing	Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty and Xiaoli Li	N/A	N/A
Efficient Dialogue State Tracking by Selectively Overwriting Memory	Sungdong Kim, Sohee Yang, Gyuwan Kim and Sang-Woo Lee	N/A	N/A
Efficient Pairwise Annotation of Argument Quality	Lukas Gienapp, Benno Stein, Matthias Hagen and Martin Potthast	N/A	N/A
Efficient Second-Order TreeCRF for Neural Dependency Parsing	Yu Zhang, Zhenghua Li and Min Zhang	N/A	N/A
Emergence of Syntax Needs Minimal Supervision	Raphaël Bailly and Kata Gábor	N/A	N/A
Emerging Cross-lingual Structure in Pretrained Language Models	Alexis Conneau, Shijie Wu, Haoran Li, Luke Zettlemoyer and Veselin Stoyanov	N/A	N/A
Empower Entity Set Expansion via Language Model Probing	Yunyi Zhang, Jiaming Shen, Jingbo Shang and Jiawei Han	N/A	N/A
Empowering Active Learning to Jointly Optimize System and User Demands	Ji-Ung Lee, Christian M. Meyer and Iryna Gurevych	N/A	N/A
End-to-End Bias Mitigation by Modelling Biases in Corpora	Rabeeh Karimi Mahabadi, Yonatan Belinkov and James Henderson	N/A	N/A
End-to-End Neural Pipeline for Goal-Oriented Dialogue Systems using GPT-2	Donghoon Ham, Jeong-Gwan Lee, Youngsoo Jang and Kee-Eung Kim	N/A	N/A
End-to-End Neural Word Alignment Outperforms GIZA++	Thomas Zenkel, Joern Wuebker and John DeNero	N/A	N/A
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension	Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu and Daxin Jiang	N/A	N/A
Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge	Bowen Zhang, Min Yang, Xutao Li, Yunming Ye, Xiaofei Xu and Kuai Dai	N/A	N/A
ERASER: A Benchmark to Evaluate Rationalized NLP Models	Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher and Byron C. Wallace	N/A	N/A
ESPRIT: Explaining Solutions to Physical Reasoning Tasks	Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher and Dragomir Radev	N/A	N/A
Estimating predictive uncertainty for rumour verification models	Elena Kochkina and Maria Liakata	N/A	N/A
Estimating the influence of auxiliary tasks for multi-task learning of sequence tagging tasks	Fynn Schröder and Chris Biemann	N/A	N/A
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples	Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, Cho-Jui Hsieh, Minhao Cheng and Xuanjing Huang	N/A	N/A
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?	Peter Hase and Mohit Bansal	N/A	N/A
Evaluating Explanation Methods for Neural Machine Translation	Jierui Li, Lemao Liu, Huayang Li, Guanlin Li, Guoping Huang and Shuming Shi	N/A	N/A
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder	Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang and Ming Zhou	N/A	N/A
Exact yet Efficient Graph Parsing, Bi-directional Locality and the Constructivist Hypothesis	Yajie Ye and Weiwei Sun	N/A	N/A
Examining Citations of Natural Language Processing Literature	Saif M. Mohammad	N/A	N/A
Examining the State-of-the-Art in News Timeline Summarization	Demian Gholipour Ghalandari and Georgiana Ifrim	N/A	N/A
Exclusive Hierarchical Decoding for Deep Keyphrase Generation	Wang Chen, Hou Pong Chan, Piji Li and Irwin King	N/A	N/A
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen	Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu and Tat-Seng Chua	N/A	N/A
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions	Xiaochuang Han, Byron C. Wallace and Yulia Tsvetkov	N/A	N/A
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading	Yifan Gao, Chien-Sheng Wu, Shafiq Joty, Caiming Xiong, Richard Socher, Irwin King, Michael Lyu and Steven C.H. Hoi	N/A	N/A
Explicit Semantic Decomposition for Definition Generation	Jiahuan Li, Yu Bao, Shujian Huang, Xinyu Dai and Jiajun Chen	N/A	N/A
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach	Wenyu DU, Zhouhan Lin, Yikang Shen, Timothy J. O’Donnell, Yoshua Bengio and Yue Zhang	N/A	N/A
Exploiting the Syntax-Model Consistency for Neural Relation Extraction	Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou and Thien Huu Nguyen	N/A	N/A
Exploring Contextual Word-level Style Relevance for Unsupervised Style Transfer	Chulun Zhou, Liangyu Chen, Jiachen Liu, Xinyan Xiao, Jinsong Su, Sheng Guo and Hua Wu	N/A	N/A
Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing	Alane Suhr, Ming-Wei Chang, Peter Shaw and Kenton Lee	N/A	N/A
Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches	Tianze Shi and Lillian Lee	N/A	N/A
Extractive Summarization as Text Matching	Ming Zhong, Pengfei Liu, Yiran Chen, Danqing Wang, Xipeng Qiu and Xuanjing Huang	N/A	N/A
Facet-Aware Evaluation for Extractive Summarization	Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren and Jiawei Han	N/A	N/A
Fact-based Text Editing	Hayate Iso, Chao Qiao and Hang Li	N/A	N/A
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning	Joongbo Shin, Yoonhyung Lee, Seunghyun Yoon and Kyomin Jung	N/A	N/A
Fast and Accurate Non-Projective Dependency Tree Linearization	Xiang Yu, Simon Tannert, Ngoc Thang Vu and Jonas Kuhn	N/A	N/A
FastBERT: a Self-distilling BERT with Adaptive Inference Time	Weijie Liu, Peng Zhou, Zhiruo Wang, Zhe Zhao, Haotang Deng and QI JU	N/A	N/A
Feature Projection for Improved Text Classification	Qi Qin, Wenpeng Hu and Bing Liu	N/A	N/A
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization	Esin Durmus, He He and Mona Diab	N/A	N/A
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network	Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Yijia Liu, Han Liu and Ting Liu	N/A	N/A
Finding Universal Grammatical Relations in Multilingual BERT	Ethan A. Chi, John Hewitt and Christopher D. Manning	N/A	N/A
Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences	Dmitry Nikolaev, Ofir Arviv, Taelin Karidi, Neta Kenneth, Veronika Mitnik, Lilja Maria Saeboe and Omri Abend	N/A	N/A
Fine-grained Fact Verification with Kernel Graph Attention Network	Zhenghao Liu, Chenyan Xiong, Maosong Sun and Zhiyuan Liu	N/A	N/A
Fine-grained Interest Matching for Neural News Recommendation	Heyuan Wang, Fangzhao Wu, Zheng Liu and Xing Xie	N/A	N/A
Fluent Response Generation for Conversational Question Answering	Ashutosh Baheti, Alan Ritter and Kevin Small	N/A	N/A
From Arguments to Key Points: Towards Automatic Argument Summarization	Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav and Noam Slonim	N/A	N/A
From English to Code-Switching: Transfer Learning with Strong Morphological Clues	Gustavo Aguilar and Thamar Solorio	N/A	N/A
From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)?	Reut Tsarfaty, Dan Bareket, Stav Klein and Amit Seker	N/A	N/A
From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains	Jan-Christoph Klie, Richard Eckart de Castilho and Iryna Gurevych	N/A	N/A
Frugal Paradigm Completion	Alexander Erdmann, Tom Kenter, Markus Becker and Christian Schallhart	N/A	N/A
Gated Convolutional Bidirectional Attention-based Model for Off-topic Spoken Response Detection	Yefei Zha, Ruobing Li and Hui Lin	N/A	N/A
GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media	Yi-Ju Lu and Cheng-Te Li	N/A	N/A
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer	Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang and Ahmed Hassan Awadallah	N/A	N/A
Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations	Saif M. Mohammad	N/A	N/A
Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus	Luisa Bentivogli, Beatrice Savoldi, Matteo Negri, Mattia A. Di Gangi, Roldano Cattoni and Marco Turchi	N/A	N/A
Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing	Clara Meister, Elizabeth Salesky and Ryan Cotterell	N/A	N/A
Generalizing Natural Language Analysis through Span-relation Representations	Zhengbao Jiang, Wei Xu, Jun Araki and Graham Neubig	N/A	N/A
Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation	Haoyu Song, Yan Wang, Wei-Nan Zhang, Xiaojiang Liu and Ting Liu	N/A	N/A
Generating Counter Narratives against Online Hate Speech: Data and Strategies	Serra Sinem Tekiroğlu, Yi-Ling Chung and Marco Guerini	N/A	N/A
Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs	Dong Bok Lee, Seanie Lee, Woo Tae Jeong, Donghwan Kim and Sung Ju Hwang	N/A	N/A
Generating Fact Checking Explanations	Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma and Isabelle Augenstein	N/A	N/A
Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection	Hanjie Chen, Guangtao Zheng and Yangfeng Ji	N/A	N/A
Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy	Xiexiong Lin, Weiyu Jian, Jianshan He, Taifeng Wang and Wei Chu	N/A	N/A
Generative Semantic Hashing Enhanced via Boltzmann Machines	Lin Zheng, Qinliang Su, Dinghan Shen and Changyou Chen	N/A	N/A
GLUECoS: An Evaluation Benchmark for Code-Switched NLP	Simran Khanuja, Sandipan Dandapat, Anirudh Srinivasan, Sunayana Sitaram and Monojit Choudhury	N/A	N/A
GoEmotions: A Dataset of Fine-Grained Emotions	Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko, Alan Cowen, Gaurav Nemade and Sujith Ravi	N/A	N/A
Good-Enough Compositional Data Augmentation	Jacob Andreas	N/A	N/A
Graph Neural News Recommendation with Unsupervised Preference Disentanglement	Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie and Ming Zhou	N/A	N/A
Graph-to-Tree Learning for Solving Math Word Problems	Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao and Ee-Peng Lim	N/A	N/A
Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs	Houyu Zhang, Zhenghao Liu, Chenyan Xiong and Zhiyuan Liu	N/A	N/A
Grounding Conversations with Improvised Dialogues	Hyundong Cho and Jonathan May	N/A	N/A
Guiding Variational Response Generator to Exploit Persona	Bowen Wu, Mengyuan Li, Zongsheng Wang, Yifu Chen, Derek F. Wong, Qihang Feng, Junhong Huang and Baoxun Wang	N/A	N/A
Handling Rare Entities for Neural Sequence Labeling	Yangming Li, Han Li, Kaisheng Yao and Xiaolong Li	N/A	N/A
Hard-Coded Gaussian Attention for Neural Machine Translation	Weiqiu You, Simeng Sun and Mohit Iyyer	N/A	N/A
Harnessing the linguistic signal to predict scalar inferences	Sebastian Schuster, Yuxing Chen and Judith Degen	N/A	N/A
Harvesting and Refining Question-Answer Pairs for Unsupervised QA	Zhongli Li, Wenhui Wang, Li Dong, Furu Wei and Ke Xu	N/A	N/A
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing	Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan and Song Han	N/A	N/A
He said “who’s gonna take care of your children when you are at ACL?”: Reported Sexist Acts are Not Sexist	Patricia Chiril, Véronique Moriceau, Farah Benamara, Alda Mari, Gloria Origgi and Marlène Coulomb-Gully	N/A	N/A
Heterogeneous Graph Neural Networks for Extractive Document Summarization	Danqing Wang, Pengfei Liu, Yining Zheng, Xipeng Qiu and Xuanjing Huang	N/A	N/A
Heterogeneous Graph Transformer for Graph-to-Sequence Learning	Shaowei Yao, Tianming Wang and Xiaojun Wan	N/A	N/A
Hierarchical Entity Typing via Multi-level Learning to Rank	Tongfei Chen, Yunmo Chen and Benjamin Van Durme	N/A	N/A
Hierarchical Modeling for User Personality Prediction: The Role of Message-Level Attention	Veronica Lynn, Niranjan Balasubramanian and H. Andrew Schwartz	N/A	N/A
Hierarchy-Aware Global Model for Hierarchical Text Classification	Jie Zhou, Chunping Ma, Dingkun Long, Guangwei Xu, Ning Ding, Haoyu Zhang, Pengjun Xie and Gongshen Liu	N/A	N/A
Highway Transformer: Self-Gating Enhanced Self-Attentive Networks	Yekun Chai, Shuo Jin and Xinwen Hou	N/A	N/A
Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation	Liting Liu, Jie Liu, Wenzheng Zhang, Ziming Chi, Wenxuan Shi and Yalou Huang	N/A	N/A
History for Visual Dialog: Do we really need it?	Shubham Agarwal, Trung Bui, Joon-Young Lee, Ioannis Konstas and Verena Rieser	N/A	N/A
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles	Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii and Peter Szolovits	N/A	N/A
How Accents Confound: Probing for Accent Information in End-to-End Speech Recognition Systems	Archiki Prasad and Preethi Jyothi	N/A	N/A
How does BERT’s attention change when you fine-tune? An analysis methodology and a case study in negation scope	Yiyun Zhao and Steven Bethard	N/A	N/A
How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence	Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu and Maosong Sun	N/A	N/A
How Does Selective Mechanism Improve Self-Attention Networks?	Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu and Zhaopeng Tu	N/A	N/A
How to Ask Good Questions? Try to Leverage Paraphrases	Xin Jia, Wenjie Zhou, Xu Sun and Yunfang Wu	N/A	N/A
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?	Cansu Sen, Thomas Hartvigsen, Biao Yin, Xiangnan Kong and Elke Rundensteiner	N/A	N/A
Hyperbolic Capsule Networks for Multi-Label Classification	Boli Chen, Xin Huang, Lin Xiao and Liping Jing	N/A	N/A
HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding	Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu and Weifeng Chong	N/A	N/A
Image-Chat: Engaging Grounded Conversations	Kurt Shuster, Samuel Humeau, Antoine Bordes and Jason Weston	N/A	N/A
IMoJIE: Iterative Memory-Based Joint Open Information Extraction	Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam - and Soumen Chakrabarti	N/A	N/A
Improved Natural Language Generation via Loss Truncation	Daniel Kang and Tatsunori Hashimoto	N/A	N/A
Improving Adversarial Text Generation by Modeling the Distant Future	Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen and Lawrence Carin	N/A	N/A
Improving Chinese Word Segmentation with Wordhood Memory Networks	Yuanhe Tian, Yan Song, Fei Xia, Tong Zhang and Yonggang Wang	N/A	N/A
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance	Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li and Lawrence Carin	N/A	N/A
Improving Disfluency Detection by Self-Training a Self-Attentive Model	Paria Jamshid Lou and Mark Johnson	N/A	N/A
Improving Event Detection via Open-domain Trigger Knowledge	Meihan Tong, Bin Xu, Shuai Wang, Yixin Cao, Lei Hou, Juanzi Li and Jun Xie	N/A	N/A
Improving Image Captioning Evaluation by Considering Inter References Variance	Yanzhi Yi, Hangyu Deng and Jinglu Hu	N/A	N/A
Improving Image Captioning with Better Use of Caption	Zhan Shi, Xu Zhou, Xipeng Qiu and Xiaodan Zhu	N/A	N/A
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation	Biao Zhang, Philip Williams, Ivan Titov and Rico Sennrich	N/A	N/A
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings	Apoorv Saxena, Aditay Tripathi and Partha Talukdar	N/A	N/A
Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer	Jianfei Yu, Jing Jiang, Li Yang and Rui Xia	N/A	N/A
Improving Neural Machine Translation with Soft Template Prediction	Jian Yang, Shuming Ma, Dongdong Zhang, Zhoujun Li and Ming Zhou	N/A	N/A
Improving Segmentation for Technical Support Problems	Kushal Chauhan and Abhirut Gupta	N/A	N/A
Improving Transformer Models by Reordering their Sublayers	Ofir Press, Noah A. Smith and Omer Levy	N/A	N/A
Improving Truthfulness of Headline Generation	Kazuki Matsumaru, Sho Takase and Naoaki Okazaki	N/A	N/A
In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts	Ruben Kruiper, Julian Vincent, Jessica Chen-Burger, Marc Desmulliez and Ioannis Konstas	N/A	N/A
In Neural Machine Translation, What Does Transfer Learning Transfer?	Alham Fikri Aji, Nikolay Bogoychev, Kenneth Heafield and Rico Sennrich	N/A	N/A
Inflecting when there’s no majority: Limitations of encoder-decoder neural networks as cognitive models for German plurals	Kate McCurdy, Sharon Goldwater and Adam Lopez	N/A	N/A
Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models	Kaiji Lu, Piotr Mardziel, Klas Leino, Matt Fredrikson and Anupam Datta	N/A	N/A
Information-Theoretic Probing for Linguistic Structure	Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams and Ryan Cotterell	N/A	N/A
INFOTABS: Inference on Tables as Semi-structured Data	Vivek Gupta, Maitrey Mehta, Pegah Nokhiz and Vivek Srikumar	N/A	N/A
Injecting Numerical Reasoning Skills into Language Models	Mor Geva, Ankit Gupta and Jonathan Berant	N/A	N/A
INSET: Sentence Infilling with INter-SEntential Transformer	Yichen Huang, Yizhe Zhang, Oussama Elachqar and Yu Cheng	N/A	N/A
Integrating Multimodal Information in Large Pretrained Transformers	Wasifur Rahman, Md Kamrul Hasan, Sangwu Lee, AmirAli Bagher Zadeh, Chengfeng Mao, Louis-Philippe Morency and Ehsan Hoque	N/A	N/A
Integrating Semantic and Structural Information with Graph Convolutional Network for Controversy Detection	Lei Zhong, Juan Cao, Qiang Sheng, Junbo Guo and Ziang Wang	N/A	N/A
Interactive Classification by Asking Informative Questions	Lili Yu, Howard Chen, Sida I. Wang, Tao Lei and Yoav Artzi	N/A	N/A
Interactive Construction of User-Centric Dictionary for Text Analytics	Ryosuke Kohita, Issei Yoshida, Hiroshi Kanayama and Tetsuya Nasukawa	N/A	N/A
Interactive Machine Comprehension with Information Seeking Agents	Xingdi Yuan, Jie Fu, Marc-Alexandre Côté, Yi Tay, Chris Pal and Adam Trischler	N/A	N/A
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?	Yada Pruksachatkun, Jason Phang, Haokun Liu, Phu Mon Htut, Xiaoyi Zhang, Richard Yuanzhe Pang, Clara Vania, Katharina Kann and Samuel R. Bowman	N/A	N/A
Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings	Rishi Bommasani, Kelly Davis and Claire Cardie	N/A	N/A
Investigating the effect of auxiliary objectives for the automated grading of learner English speech transcriptions	Hannah Craighead, Andrew Caines, Paula Buttery and Helen Yannakoudakis	N/A	N/A
Investigating Word-Class Distributions in Word Vector Spaces	Ryohei Sasano and Anna Korhonen	N/A	N/A
iSarcasm: A Dataset of Intended Sarcasm	Silviu Oprea and Walid Magdy	N/A	N/A
It Takes Two to Lie: One to Lie, and One to Listen	Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil and Jordan Boyd-Graber	N/A	N/A
It’s Morphin’ Time! Combating Linguistic Discrimination with Inflectional Perturbations	Samson Tan, Shafiq Joty, Min-Yen Kan and Richard Socher	N/A	N/A
Iterative Edit-Based Unsupervised Sentence Simplification	Dhruv Kumar, Lili Mou, Lukasz Golab and Olga Vechtomova	N/A	N/A
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge	Yuanhe Tian, Yan Song, Xiang Ao, Fei Xia, Xiaojun Quan, Tong Zhang and Yonggang Wang	N/A	N/A
Joint Diacritization, Lemmatization, Normalization, and Fine-Grained Morphological Tagging	Nasser Zalmout and Nizar Habash	N/A	N/A
Joint Modelling of Emotion and Abusive Language Detection	Santhosh Rajamanickam, Pushkar Mishra, Helen Yannakoudakis and Ekaterina Shutova	N/A	N/A
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization	Yue Cao, Hui Liu and Xiaojun Wan	N/A	N/A
Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation	Junliang Guo, Linli Xu and Enhong Chen	N/A	N/A
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation	Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang and Xiaoyan Zhu	N/A	N/A
KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis	Deepanway Ghosal, Devamanyu Hazarika, Abhinaba Roy, Navonil Majumder, Rada Mihalcea and Soujanya Poria	N/A	N/A
KLEJ: Comprehensive Benchmark for Polish Language Understanding	Piotr Rybak, Robert Mroczkowski, Janusz Tracz and Ireneusz Gawlik	N/A	N/A
Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation	Haipeng Sun, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita and Tiejun Zhao	N/A	N/A
Knowledge Graph Embedding Compression	Mrinmaya Sachan	N/A	N/A
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward	Luyang Huang, Lingfei Wu and Lu Wang	N/A	N/A
Language (Re)modelling: Towards Embodied Language Understanding	Ronen Tamari, Chen Shani, Tom Hope, Miriam R L Petruck, Omri Abend and Dafna Shahaf	N/A	N/A
Language (technology) is power: The need to be explicit about NLP harms	Su Lin Blodgett, Solon Barocas, Hal Daumé III and Hanna Wallach	N/A	N/A
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese	Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki and Kentaro Inui	N/A	N/A
Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions	Tian Jin, Zhun Liu, Shengjia Yan, Alexandre Eichenberger and Louis-Philippe Morency	N/A	N/A
Large Scale Multi-Actor Generative Dialog Modeling	Alex Boyd, Raul Puri, Mohammad Shoeybi, Mostofa Patwary and Bryan Catanzaro	N/A	N/A
Learning a Multi-Domain Curriculum for Neural Machine Translation	Wei Wang, Ye Tian, Jiquan Ngiam, Yinfei Yang, Isaac Caswell and Zarana Parekh	N/A	N/A
Learning and Evaluating Emotion Lexicons for 91 Languages	Sven Buechel, Susanna Rücker and Udo Hahn	N/A	N/A
Learning Architectures from an Extended Search Space for Language Modeling	Yinqiao Li, Chi Hu, Yuhao Zhang, Nuo Xu, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu and Changliang Li	N/A	N/A
Learning Constraints for Structured Prediction Using Rectifier Networks	Xingyuan Pan, Maitrey Mehta and Vivek Srikumar	N/A	N/A
Learning Dialog Policies from Weak Demonstrations	Gabriel Gordon-Hall, Philip John Gorinski and Shay B. Cohen	N/A	N/A
Learning Efficient Dialogue Policy from Demonstrations through Shaping	Huimin Wang, Baolin Peng and Kam-Fai Wong	N/A	N/A
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts	Jingyuan Zhang, Mingming Sun, Yue Feng and Ping Li	N/A	N/A
Learning Source Phrase Representations for Neural Machine Translation	Hongfei Xu, Josef van Genabith, Deyi Xiong, Qiuhui Liu and Jingyi Zhang	N/A	N/A
Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction	Zi Chai and Xiaojun Wan	N/A	N/A
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling	Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu and Xiang Ren	N/A	N/A
Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks	Yiping Song, Zequn Liu, Wei Bi, Rui Yan and Ming Zhang	N/A	N/A
Learning to Deceive with Attention-Based Explanations	Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, Graham Neubig and Zachary C. Lipton	N/A	N/A
Learning to execute instructions in a Minecraft dialogue	Prashant Jayannavar, Anjali Narayan-Chen and Julia Hockenmaier	N/A	N/A
Learning to Faithfully Rationalize by Construction	Sarthak Jain, Sarah Wiegreffe, Yuval Pinter and Byron C. Wallace	N/A	N/A
Learning to Identify Follow-Up Questions in Conversational Question Answering	Souvik Kundu, Qian Lin and Hwee Tou Ng	N/A	N/A
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation	Qiu Ran, Yankai Lin, Peng Li and Jie Zhou	N/A	N/A
Learning to Segment Actions from Observation and Narration	Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark and Aida Nematzadeh	N/A	N/A
Learning to Update Natural Language Comments Based on Code Changes	Sheena Panthaplackel, Pengyu Nie, Milos Gligoric, Junyi Jessy Li and Raymond Mooney	N/A	N/A
Learning Web-based Procedures by Reasoning over Explanations and Demonstrations in Context	Shashank Srivastava, Oleksandr Polozov, Nebojsa Jojic and Christopher Meek	N/A	N/A
Leveraging Graph to Improve Abstractive Multi-Document Summarization	Wei Li, Xinyan Xiao, Jiachen Liu, Hua Wu, Haifeng Wang and Junping Du	N/A	N/A
Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks	Yanbin Zhao, Lu Chen, Zhi Chen, Ruisheng Cao, Su Zhu and Kai Yu	N/A	N/A
Location Attention for Extrapolation to Longer Sequences	Yann Dubois, Gautier Dagan, Dieuwke Hupkes and Elia Bruni	N/A	N/A
Logical Natural Language Generation from Open-Domain Tables	Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen and William Yang Wang	N/A	N/A
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network	Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang and Jian Yin	N/A	N/A
Low-Dimensional Hyperbolic Knowledge Graph Embeddings	Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi and Christopher Ré	N/A	N/A
Low-Resource Generation of Multi-hop Reasoning Questions	Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan and Jian Yin	N/A	N/A
Machine Reading of Historical Events	Or Honovich, Lucas Torroba Hennigen, Omri Abend and Shay B. Cohen	N/A	N/A
Mapping Natural Language Instructions to Mobile UI Action Sequences	Yang Li, Jiacong He, Xin Zhou, Yuan Zhang and Jason Baldridge	N/A	N/A
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning	Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara Berg and Mohit Bansal	N/A	N/A
Masked Language Model Scoring	Julian Salazar, Davis Liang, Toan Q. Nguyen and Katrin Kirchhoff	N/A	N/A
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization	Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu and Chenliang Li	N/A	N/A
Max-Margin Incremental CCG Parsing	Miloš Stanojević and Mark Steedman	N/A	N/A
Measuring Forecasting Skill from Text	Shi Zong, Alan Ritter and Eduard Hovy	N/A	N/A
Meta-Reinforced Multi-Domain State Generator for Dialogue Systems	Yi Huang, Junlan Feng, Min Hu, Xiaoting Wu, Xiaoyu Du and Shuo Ma	N/A	N/A
MIE: A Medical Information Extractor towards Medical Dialogues	Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu and Jun Zhao	N/A	N/A
Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance	Prasetya Ajie Utama, Nafise Sadat Moosavi and Iryna Gurevych	N/A	N/A
MIND: A Large-scale Dataset for News Recommendation	Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu and Ming Zhou	N/A	N/A
MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification	Jiaao Chen, Zichao Yang and Diyi Yang	N/A	N/A
MLQA: Evaluating Cross-lingual Extractive Question Answering	Patrick Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel and Holger Schwenk	N/A	N/A
MMPE: A Multi-Modal Interface for Post-Editing Machine Translation	Nico Herbig, Tim Düwel, Santanu Pal, Kalliopi Maria Meladaki, Mahsa Monshizadeh, Antonio Krüger and Josef van Genabith	N/A	N/A
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices	Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang and Denny Zhou	N/A	N/A
Modeling Code-Switch Languages Using Bilingual Parallel Corpus	Grandee Lee and Haizhou Li	N/A	N/A
Modeling Morphological Typology for Unsupervised Learning of Language Morphology	Hongzhi Xu, Jordan Kodner, Mitchell Marcus and Charles Yang	N/A	N/A
Modelling Context and Syntactical Features for Aspect-based Sentiment Analysis	Minh Hieu Phan and Philip O. Ogunbona	N/A	N/A
More Diverse Dialogue Datasets via Diversity-Informed Data Collection	Katherine Stasaski, Grace Hui Yang and Marti A. Hearst	N/A	N/A
Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders	Terra Blevins and Luke Zettlemoyer	N/A	N/A
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning	Angeliki Lazaridou, Anna Potapenko and Olivier Tieleman	N/A	N/A
Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition	Ryuichi Takanobu, Runze Liang and Minlie Huang	N/A	N/A
Multi-Cell Compositional LSTM for NER Domain Adaptation	Chen Jia and Yue Zhang	N/A	N/A
Multidirectional Associative Optimization of Function-Specific Word Representations	Daniela Gerz, Ivan Vulić, Marek Rei, Roi Reichart and Anna Korhonen	N/A	N/A
Multi-Domain Dialogue Acts and Response Co-Generation	Kai Wang, Junfeng Tian, Rui Wang, Xiaojun Quan and Jianxing Yu	N/A	N/A
Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference	Jing Wang, Mayank Kulkarni and Daniel Preotiuc-Pietro	N/A	N/A
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing	Haoming Jiang, Chen Liang, Chong Wang and Tuo Zhao	N/A	N/A
Multi-Granularity Interaction Network for Extractive and Abstractive Multi-Document Summarization	Hanqi Jin, Tianming Wang and Xiaojun Wan	N/A	N/A
Multi-Hypothesis Machine Translation Evaluation	Marina Fomicheva, Lucia Specia and Francisco Guzmán	N/A	N/A
Multi-Label and Multilingual News Framing Analysis	Afra Feyza Akyürek, Lei Guo, Randa Elanwar, Prakash Ishwar, Margrit Betke and Derry Tanti Wijaya	N/A	N/A
Multimodal Neural Graph Memory Networks for Visual Question Answering	Mahmoud Khademi	N/A	N/A
MultiQT: Multimodal learning for real-time question tracking in speech	Jakob D. Havtorn, Jan Latko, Joakim Edin, Lars Maaløe, Lasse Borgholt, Lorenzo Belgrano, Nicolai Jacobsen, Regitze Sdun and Željko Agić	N/A	N/A
Multiscale Collaborative Deep Models for Neural Machine Translation	Xiangpeng Wei, Heng Yu, Yue Hu, Yue Zhang, Rongxiang Weng and Weihua Luo	N/A	N/A
Multi-Sentence Argument Linking	Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins and Benjamin Van Durme	N/A	N/A
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering	Ming Yan, Hao Zhang, Di Jin and Joey Tianyi Zhou	N/A	N/A
MuTual: A Dataset for Multi-Turn Dialogue Reasoning	Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang and Ming Zhou	N/A	N/A
Named Entity Recognition without Labelled Data: A Weak Supervision Approach	Pierre Lison, Jeremy Barnes, Aliaksandr Hubin and Samia Touileb	N/A	N/A
NAT: Noise-Aware Training for Robust Neural Sequence Labeling	Marcin Namysl, Sven Behnke and Joachim Köhler	N/A	N/A
Negative Training for Neural Dialogue Response Generation	Tianxing He and James Glass	N/A	N/A
Neighborhood Matching Network for Entity Alignment	Yuting Wu, Xiao Liu, Yansong Feng, Zheng Wang and Dongyan Zhao	N/A	N/A
NeuInfer: Knowledge Inference on N-ary Facts	Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang and Xueqi Cheng	N/A	N/A
Neural CRF Model for Sentence Alignment in Text Simplification	Chao Jiang, Mounica Maddela, Wuwei Lan, Yang Zhong and Wei Xu	N/A	N/A
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence	Xiaoyu Shen, Ernie Chang, Hui Su, Cheng Niu and Dietrich Klakow	N/A	N/A
Neural Generation of Dialogue Response Timings	Matthew Roddy and Naomi Harte	N/A	N/A
Neural Mixed Counting Models for Dispersed Topic Discovery	Jiemin Wu, Yanghui Rao, Zusheng Zhang, Haoran Xie, Qing Li, Fu Lee Wang and Ziye Chen	N/A	N/A
Neural Reranking for Dependency Parsing: An Evaluation	Bich-Ngoc Do and Ines Rehbein	N/A	N/A
Neural Syntactic Preordering for Controlled Paraphrase Generation	Tanya Goyal and Greg Durrett	N/A	N/A
Neural Topic Modeling with Bidirectional Adversarial Training	Rui Wang, Xuemeng Hu, Deyu Zhou, Yulan He, Yuxuan Xiong, Chenchen Ye and Haiyang Xu	N/A	N/A
NILE : Natural Language Inference with Faithful Natural Language Explanations	Sawan Kumar and Partha Talukdar	N/A	N/A
Norm-Based Curriculum Learning for Neural Machine Translation	Xuebo Liu, Houtim Lai, Derek F. Wong and Lidia S. Chao	N/A	N/A
Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses	Erfan Sadeqi Azer, Daniel Khashabi, Ashish Sabharwal and Dan Roth	N/A	N/A
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection	Shauli Ravfogel, Yanai Elazar, Hila Gonen, Michael Twiton and Yoav Goldberg	N/A	N/A
Obtaining Faithful Interpretations from Compositional Neural Networks	Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant and Matt Gardner	N/A	N/A
On Faithfulness and Factuality in Abstractive Summarization	Joshua Maynez, Shashi Narayan, Bernd Bohnet and Ryan McDonald	N/A	N/A
On the Cross-lingual Transferability of Monolingual Representations	Mikel Artetxe, Sebastian Ruder and Dani Yogatama	N/A	N/A
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond	Chen Wu, Prince Zizhuang Wang and William Yang Wang	N/A	N/A
On The Evaluation of Machine Translation SystemsTrained With Back-Translation	Sergey Edunov, Myle Ott, Marc’Aurelio Ranzato and Michael Auli	N/A	N/A
On the Inference Calibration of Neural Machine Translation	Shuo Wang, Zhaopeng Tu, Shuming Shi and Yang Liu	N/A	N/A
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation	Wei Zhao, Goran Glavaš, Maxime Peyrard, Yang Gao, Robert West and Steffen Eger	N/A	N/A
On the Robustness of Language Encoders against Grammatical Errors	Fan Yin, Quanyu Long, Tao Meng and Kai-Wei Chang	N/A	N/A
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases	Xingdi Yuan, Tong Wang, Rui Meng, Khushboo Thaker, Peter Brusilovsky, Daqing He and Adam Trischler	N/A	N/A
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports	Yuhao Zhang, Derek Merck, Emily Tsai, Christopher D. Manning and Curtis Langlotz	N/A	N/A
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding	Yun Tang, Jing Huang, Guangtao Wang, Xiaodong He and Bowen Zhou	N/A	N/A
Out of the Echo Chamber: Detecting Countering Debate Speeches	Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov and Noam Slonim	N/A	N/A
ParaCrawl: Web-Scale Acquisition of Parallel Corpora	Marta Bañón, Pinzhen Chen, Barry Haddow, Kenneth Heafield, Hieu Hoang, Miquel Esplà-Gomis, Mikel L. Forcada, Amir Kamran, Faheem Kirefu, Philipp Koehn, Sergio Ortiz Rojas, Leopoldo Pla Sempere, Gema Ramírez-Sánchez, Elsa Sarrías, Marek Strelec, Brian Thompson, William Waites, Dion Wiggins and Jaume Zaragoza	N/A	N/A
Parallel Corpus Filtering via Pre-trained Language Models	Boliang Zhang, Ajay Nagesh and Kevin Knight	N/A	N/A
Paraphrase Augmented Task-Oriented Dialog Generation	Silin Gao, Yichi Zhang, Zhijian Ou and Zhou Yu	N/A	N/A
Paraphrase Generation by Learning How to Edit from Samples	Amirhossein Kazemnejad, Mohammadreza Salehi and Mahdieh Soleymani Baghshah	N/A	N/A
Parsing into Variable-in-situ Logico-Semantic Graphs	Yufei Chen and Weiwei Sun	N/A	N/A
Perturbed Masking: Parameter-free Probing for Analyzing and Interpreting BERT	Zhiyong Wu, Yun Chen, Ben Kao and Qun Liu	N/A	N/A
PeTra: A Sparsely Supervised Memory Model for People Tracking	Shubham Toshniwal, Allyson Ettinger, Kevin Gimpel and Karen Livescu	N/A	N/A
Phone Features Improve Speech Translation	Elizabeth Salesky and Alan W Black	N/A	N/A
Phonetic and Visual Priors for Decipherment of Informal Romanization	Maria Ryskina, Matthew R. Gormley and Taylor Berg-Kirkpatrick	N/A	N/A
PLATO: Pre-trained Dialogue Generation Model with Discrete Latent Variable	Siqi Bao, Huang He, Fan Wang, Hua Wu and Haifeng Wang	N/A	N/A
Politeness Transfer: A Tag and Generate Approach	Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabas Poczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W Black and Shrimai Prabhumoye	N/A	N/A
Posterior Control of Blackbox Generation	Xiang Lisa Li and Alexander Rush	N/A	N/A
Predicting Declension Class from Form and Meaning	Adina Williams, Tiago Pimentel, Arya D. McCarthy, Hagen Blix, Eleanor Chodroff and Ryan Cotterell	N/A	N/A
Predicting Depression in Screening Interviews from Latent Categorization of Interview Prompts	Alex Rinaldi, Jean Fox Tree and Snigdha Chaturvedi	N/A	N/A
Predicting Performance for Natural Language Processing Tasks	Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang and Graham Neubig	N/A	N/A
Predicting the Focus of Negation: Model and Error Analysis	Md Mosharaf Hossain, Kathleen Hamilton, Alexis Palmer and Eduardo Blanco	N/A	N/A
Predicting the Growth of Morphological Families from Social and Linguistic Factors	Valentin Hofmann, Janet Pierrehumbert and Hinrich Schütze	N/A	N/A
Predicting the Topical Stance and Political Leaning of Media using Tweets	Peter Stefanov, Kareem Darwish, Atanas Atanasov and Preslav Nakov	N/A	N/A
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview	Deven Santosh Shah, H. Andrew Schwartz and Dirk Hovy	N/A	N/A
Premise Selection in Natural Language Mathematical Texts	Deborah Ferreira and André Freitas	N/A	N/A
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders	Yu Duan, Canwen Xu, Jiaxin Pei, Jialong Han and Chenliang Li	N/A	N/A
Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning	Alexandre Tamborrino, Nicola Pellicanò, Baptiste Pannier, Pascal Voitot and Louise Naudin	N/A	N/A
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models	Dan Iter, Kelvin Guu, Larry Lansing and Dan Jurafsky	N/A	N/A
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering	Hao Cheng, Ming-Wei Chang, Kenton Lee and Kristina Toutanova	N/A	N/A
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order	Yi Liao, Xin Jiang and Qun Liu	N/A	N/A
Probing for referential information in language models	Ionut-Teodor Sorodoc, Kristina Gulordava and Gemma Boleda	N/A	N/A
Probing Linguistic Features of Sentence-Level Representations in Relation Extraction	Christoph Alt, Aleksandra Gabryszak and Leonhard Hennig	N/A	N/A
Probing Linguistic Systematicity	Emily Goodwin, Koustuv Sinha and Timothy J. O’Donnell	N/A	N/A
Programming in Natural Language with fuSE: Synthesizing Methods from Spoken Utterances Using Deep Natural Language Understanding	Sebastian Weigelt, Vanessa Steurer, Tobias Hey and Walter F. Tichy	N/A	N/A
PuzzLing Machines: A Challenge on Learning From Small Data	Gözde Gül Şahin, Yova Kementchedjhieva, Phillip Rust and Iryna Gurevych	N/A	N/A
Pyramid: A Layered Model for Nested Named Entity Recognition	Jue Wang, Lidan Shou, Ke Chen and Gang Chen	N/A	N/A
QuASE: Question-Answer Driven Sentence Encoding	Hangfeng He, Qiang Ning and Dan Roth	N/A	N/A
R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge	Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan and Nanyun Peng	N/A	N/A
Rationalizing Medical Relation Prediction from Corpus-level Statistics	Zhen Wang, Jennifer Lee, Simon Lin and Huan Sun	N/A	N/A
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport	Kyle Swanson, Lili Yu and Tao Lei	N/A	N/A
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers	Bailin Wang, Richard Shin, Xiaodong Liu, Oleksandr Polozov and Matthew Richardson	N/A	N/A
Reasoning Over Semantic-Level Graph for Fact Checking	Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang and Jian Yin	N/A	N/A
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction	Guoshun Nan, Zhijiang Guo, Ivan Sekulic and Wei Lu	N/A	N/A
Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association	Nan Xu, Zhixiong Zeng and Wenji Mao	N/A	N/A
(Re)construing Meaning in NLP	Sean Trott, Tiago Timponi Torrent, Nancy Chang and Nathan Schneider	N/A	N/A
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension	Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen and Dong Yu	N/A	N/A
Recurrent Neural Network Language Models Always Learn English-Like Relative Clause Attachment	Forrest Davis and Marten van Schijndel	N/A	N/A
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem	Danielle Saunders and Bill Byrne	N/A	N/A
Refer360° : A Referring Expression Recognition Dataset in 360° Images	Volkan Cirik, Taylor Berg-Kirkpatrick and Louis-Philippe Morency	N/A	N/A
ReInceptionE: Relation-Aware Inception Network with Joint Local-Global Structural Information for Knowledge Graph Embedding	Zhiwen Xie, Guangyou Zhou, Jin Liu and Jimmy Xiangji Huang	N/A	N/A
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents	Daoyuan Chen, Yaliang Li, Kai Lei and Ying Shen	N/A	N/A
Relational Graph Attention Network for Aspect-based Sentiment Analysis	Kai Wang, Weizhou Shen, Yunyi Yang, Xiaojun Quan and Rui Wang	N/A	N/A
Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis	Zhuang Chen and Tieyun Qian	N/A	N/A
Representation Learning for Information Extraction from Form-like Documents	Bodhisattwa Prasad Majumder, Navneet Potti, Sandeep Tata, James Bradley Wendt, Qi Zhao and Marc Najork	N/A	N/A
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation	Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu and Nevin L. Zhang	N/A	N/A
Review-based Question Generation with Adaptive Instance Transfer and Augmentation	Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam and Luo Si	N/A	N/A
Revisiting the Context Window for Cross-lingual Word Embeddings	Ryokan Ri and Yoshimasa Tsuruoka	N/A	N/A
Rigid Formats Controlled Text Generation	Piji Li, Haisong Zhang, Xiaojiang Liu and Shuming Shi	N/A	N/A
RikiNet: Reading Wikipedia Pages for Natural Question Answering	Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv and Nan Duan	N/A	N/A
Robust Encodings: A Framework for Combating Adversarial Typos	Erik Jones, Robin Jia, Aditi Raghunathan and Percy Liang	N/A	N/A
Roles and Utilization of Attention Heads in Transformer-based Neural Language Models	Jae-young Jo and Sung-Hyon Myaeng	N/A	N/A
S2ORC: The Semantic Scholar Open Research Corpus	Kyle Lo, Lucy Wang, Mark Neumann, Rodney Kinney and Daniel Weld	N/A	N/A
SAS: Dialogue State Tracking via Slot Attention and Slot Information Sharing	Jiaying Hu, Yan Yang, Chencai Chen, Liang He and Zhou Yu	N/A	N/A
SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations	Xiang Kong, Varun Gangal and Eduard Hovy	N/A	N/A
schuBERT: Optimizing Elements of BERT	Ashish Khetan and Zohar Karnin	N/A	N/A
SciREX: A Challenge Dataset for Document-Level Information Extraction	Sarthak Jain, Madeleine van Zuylen, Hannaneh Hajishirzi and Iz Beltagy	N/A	N/A
Screenplay Summarization Using Latent Narrative Structure	Pinelopi Papalampidi, Frank Keller, Lea Frermann and Mirella Lapata	N/A	N/A
ScriptWriter: Narrative-Guided Script Generation	Yutao Zhu, Ruihua Song, Zhicheng Dou, Jian-Yun Nie and Jin Zhou	N/A	N/A
SEEK: Segmented Embedding of Knowledge Graphs	Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin and Tie-Yan Liu	N/A	N/A
Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation	Xabier Soto, Dimitar Shterionov, Alberto Poncelas and Andy Way	N/A	N/A
Selective Question Answering under Domain Shift	Amita Kamath, Robin Jia and Percy Liang	N/A	N/A
Semantic Graphs for Generating Deep Questions	Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua and Min-Yen Kan	N/A	N/A
Semantic Parsing for English as a Second Language	Yuanyuan Zhao, Weiwei Sun, Junjie Cao and Xiaojun Wan	N/A	N/A
Semantic Scaffolds for Pseudocode-to-Code Generation	Ruiqi Zhong, Mitchell Stern and Dan Klein	N/A	N/A
Semi-supervised Contextual Historical Text Normalization	Peter Makarov and Simon Clematide	N/A	N/A
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation	Xinting Huang, Jianzhong Qi, Yu Sun and Rui Zhang	N/A	N/A
Semi-Supervised Semantic Dependency Parsing Using CRF Autoencoders	Zixia Jia, Youmi Ma, Jiong Cai and Kewei Tu	N/A	N/A
SenseBERT: Driving Some Sense into BERT	Yoav Levine, Barak Lenz, Or Dagan, Ori Ram, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua and Yoav Shoham	N/A	N/A
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics	Da Yin, Tao Meng and Kai-Wei Chang	N/A	N/A
Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis	Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal and Pushpak Bhattacharyya	N/A	N/A
SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labeling	Luoxin Chen, Weitong Ruan, Xinyue Liu and Jianhua Lu	N/A	N/A
Should All Cross-Lingual Embeddings Speak English?	Antonios Anastasopoulos and Graham Neubig	N/A	N/A
Similarity Analysis of Contextual Word Representation Models	John Wu, Yonatan Belinkov, Hassan Sajjad, Nadir Durrani, Fahim Dalvi and James Glass	N/A	N/A
Simple, Interpretable and Stable Method for Detecting Words with Usage Change across Corpora	Hila Gonen, Ganesh Jawahar, Djamé Seddah and Yoav Goldberg	N/A	N/A
Simplify the Usage of Lexicon in Chinese NER	Ruotian Ma, Minlong Peng, Qi Zhang, Zhongyu Wei and Xuanjing Huang	N/A	N/A
SimulSpeech: End-to-End Simultaneous Speech to Text Translation	Yi Ren, Jinglin Liu, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao and Tie-Yan Liu	N/A	N/A
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language	Qianhui Wu, Zijia Lin, Börje Karlsson, Jian-Guang Lou and Biqing Huang	N/A	N/A
SKEP: Sentiment Knowledge Enhanced Pre-training for Sentiment Analysis	Hao Tian, Can Gao, Xinyan Xiao, Hao Liu, Bolei He, Hua Wu, Haifeng Wang and Feng Wu	N/A	N/A
Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network	Yangming Li, Kaisheng Yao, Libo Qin, Wanxiang Che, Xiaolong Li and Ting Liu	N/A	N/A
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization	Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao and Tuo Zhao	N/A	N/A
Social Bias Frames: Reasoning about Social and Power Implications of Language	Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith and Yejin Choi	N/A	N/A
Sources of Transfer in Multilingual Named Entity Recognition	David Mueller, Nicholas Andrews and Mark Dredze	N/A	N/A
Span Selection Pre-training for Question Answering	Michael Glass, Alfio Gliozzo, Rishav Chakravarti, Anthony Ferritto, Lin Pan, G P Shrivatsa Bhargav, Dinesh Garg and Avi Sil	N/A	N/A
Span-based Localizing Network for Natural Language Video Localization	Hao Zhang, Aixin Sun, Wei Jing and Joey Tianyi Zhou	N/A	N/A
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction	He Zhao, Longtao Huang, Rong Zhang, Quan Lu and Hui Xue	N/A	N/A
Speak to your Parser: Interactive Text-to-SQL with Natural Language Feedback	Ahmed Elgohary, Saghar Hosseini and Ahmed Hassan Awadallah	N/A	N/A
Speaker Sensitive Response Evaluation Model	JinYeong Bak and Alice Oh	N/A	N/A
Speakers enhance contextually confusable words	Eric Meinhardt, Eric Bakovic and Leon Bergen	N/A	N/A
SPECTER: Document-level Representation Learning using Citation-informed Transformers	Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey and Daniel Weld	N/A	N/A
Speech Translation and the End-to-End Promise: Taking Stock of Where We Are	Matthias Sperber and Matthias Paulik	N/A	N/A
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check	Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu and Yuan Qi	N/A	N/A
Spelling Error Correction with Soft-Masked BERT	Shaohua Zhang, Haoran Huang, Jicong Liu and Hang Li	N/A	N/A
Spying on your neighbors: Fine-grained probing of contextual embeddings for information about surrounding words	Josef Klafka and Allyson Ettinger	N/A	N/A
STARC: Structured Annotations for Reading Comprehension	Yevgeni Berzak, Jonathan Malmaud and Roger Levy	N/A	N/A
Stock Embeddings Acquired from News Articles and Price History, and an Application to Portfolio Optimization	Xin Du and Kumiko Tanaka-Ishii	N/A	N/A
Storytelling with Dialogue: A Critical Role Dungeons and Dragons Dataset	Revanth Rameshkumar and Peter Bailey	N/A	N/A
Structural Information Preserving for Graph-to-Text Generation	Linfeng Song, Ante Wang, Jinsong Su, Yue Zhang, Kun Xu, Yubin Ge and Dong Yu	N/A	N/A
Structured Tuning for Semantic Role Labeling	Tao Li, Parth Anand Jawale, Martha Palmer and Vivek Srikumar	N/A	N/A
Structure-Level Knowledge Distillation For Multilingual Sequence Labeling	Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Fei Huang and Kewei Tu	N/A	N/A
Suspense in Short Stories is Predicted By Uncertainty Reduction over Neural Story Representation	David Wilmot and Frank Keller	N/A	N/A
Synchronous Double-channel Recurrent Network for Aspect-Opinion Pair Extraction	Shaowei Chen, Jie Liu, Yu Wang, Wenzheng Zhang and Ziming Chi	N/A	N/A
Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation	Kaustubh Dhole and Christopher D. Manning	N/A	N/A
Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks	Bo Zhang, Yue Zhang, Rui Wang, Zhenghua Li and Min Zhang	N/A	N/A
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data	Pengcheng Yin, Graham Neubig, Wen-tau Yih and Sebastian Riedel	N/A	N/A
TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task	Christoph Alt, Aleksandra Gabryszak and Leonhard Hennig	N/A	N/A
TAG : Type Auxiliary Guiding for Code Comment Generation	Ruichu Cai, Zhihao Liang, Boyan Xu, zijian li, Yuexing Hao and Yao Chen	N/A	N/A
Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics	Nitika Mathur, Timothy Baldwin and Trevor Cohn	N/A	N/A
TaPas: Weakly Supervised Table Parsing via Pre-training	Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno and Julian Eisenschlos	N/A	N/A
Target Inference in Argument Conclusion Generation	Milad Alshomary, Shahbaz Syed, Martin Potthast and Henning Wachsmuth	N/A	N/A
Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer	Chao Shang, Sarthak Dash, Md Faisal Mahbub Chowdhury, Nandana Mihindukulasooriya and Alfio Gliozzo	N/A	N/A
Tchebycheff Procedure for Multi-task Text Classification	Yuren Mao, Shuang Yun, Weiwei Liu and Bo Du	N/A	N/A
Temporal Common Sense Acquisition with Minimal Supervision	Ben Zhou, Qiang Ning, Daniel Khashabi and Dan Roth	N/A	N/A
Temporally-Informed Analysis of Named Entity Recognition	Shruti Rijhwani and Daniel Preotiuc-Pietro	N/A	N/A
Text and Causal Inference: A Review of Using Text to Remove Confounding from Causal Estimates	Katherine Keith, David Jensen and Brendan O’Connor	N/A	N/A
Text-Based Ideal Points	Keyon Vafa, Suresh Naidu and David Blei	N/A	N/A
That is a Known Lie: Detecting Previously Fact-Checked Claims	Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino and Preslav Nakov	N/A	N/A
“The Boating Store Had Its Best Sail Ever”: Pronunciation-attentive Contextualized Pun Recognition	Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang and Wei Wang	N/A	N/A
The Cascade Transformer: an Application for Efficient Answer Sentence Selection	Luca Soldaini and Alessandro Moschitti	N/A	N/A
The Dialogue Dodecathlon: Open-Domain Knowledge and Image Grounded Conversational Agents	Kurt Shuster, Da JU, Stephen Roller, Emily Dinan, Y-Lan Boureau and Jason Weston	N/A	N/A
The Paradigm Discovery Problem	Alexander Erdmann, Micha Elsner, Shijie Wu, Ryan Cotterell and Nizar Habash	N/A	N/A
The Right Tool for the Job: Matching Model and Instance Complexities	Roy Schwartz, Gabriel Stanovsky, Swabha Swayamdipta, Jesse Dodge and Noah A. Smith	N/A	N/A
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations	Mostafa Abdou, Vinit Ravishankar, Maria Barrett, Yonatan Belinkov, Desmond Elliott and Anders Søgaard	N/A	N/A
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain	Annemarie Friedrich, Heike Adel, Federico Tomazic, Johannes Hingerl, Renou Benteau, Anika Marusczyk and Lukas Lange	N/A	N/A
The State and Fate of Linguistic Diversity and Inclusion in the NLP World	Pratik Joshi, Sebastin Santy, Amar Budhiraja, Kalika Bali and Monojit Choudhury	N/A	N/A
The Summary Loop: Learning to Write Abstractive Summaries Without Examples	Philippe Laban, Andrew Hsi, John Canny and Marti A. Hearst	N/A	N/A
The TechQA Dataset	Vittorio Castelli, Rishav Chakravarti, Saswati Dana, Anthony Ferritto, Radu Florian, Martin Franz, Dinesh Garg, Dinesh Khandelwal, Scott McCarley, Michael McCawley, Mohamed Nasr, Lin Pan, Cezar Pendus, John Pitrelli, Saurabh Pujar, Salim Roukos, Andrzej Sakrajda, Avi Sil, Rosario Uceda-Sosa, Todd Ward and Rong Zhang	N/A	N/A
The Unstoppable Rise of Computational Linguistics in Deep Learning	James Henderson	N/A	N/A
To Boldly Query What No One Has Annotated Before? The Frontiers of Corpus Querying	Markus Gärtner and Kerstin Jung	N/A	N/A
To Test Machine Comprehension, Start by Defining Comprehension	Jesse Dunietz, Greg Burnham, Akash Bharadwaj, Owen Rambow, Jennifer Chu-Carroll and Dave Ferrucci	N/A	N/A
Toward Gender-Inclusive Coreference Resolution	Yang Trista Cao and Hal Daumé III	N/A	N/A
Towards Conversational Recommendation over Multi-Type Dialogs	Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che and Ting Liu	N/A	N/A
Towards Debiasing Sentence Representations	Paul Pu Liang, Irene Mengze Li, Emily Zheng, Yao Chong Lim, Ruslan Salakhutdinov and Louis-Philippe Morency	N/A	N/A
Towards Emotion-aided Multi-modal Dialogue Act Classification	Tulika Saha, Aditya Patra, Sriparna Saha and Pushpak Bhattacharyya	N/A	N/A
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints	Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu and Changyou Chen	N/A	N/A
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation	Bo Pang, Erik Nijkamp, Wenjuan Han, Linqi Zhou, Yixian Liu and Kewei Tu	N/A	N/A
Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs	Jun Chen, Xiaoya Dai, Quan Yuan, Chao Lu and Haifeng Huang	N/A	N/A
Towards Robustifying NLI Models Against Lexical Dataset Biases	Xiang Zhou and Mohit Bansal	N/A	N/A
Towards Transparent and Explainable Attention Models	Akash Kumar Mohankumar, Preksha Nema, Sharan Narasimhan, Mitesh M. Khapra, Balaji Vasan Srinivasan and Balaraman Ravindran	N/A	N/A
Towards Understanding Gender Bias in Relation Extraction	Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth Belding, Kai-Wei Chang and William Yang Wang	N/A	N/A
Towards Unsupervised Language Understanding and Generation by Joint Dual Learning	Shang-Yu Su, Chao-Wei Huang and Yun-Nung Chen	N/A	N/A
Toxicity Detection: Does Context Really Matter?	John Pavlopoulos, Jeffrey Sorensen, Lucas Dixon, Nithum Thain and Ion Androutsopoulos	N/A	N/A
Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction	Chuang Fan, Chaofa Yuan, Jiachen Du, Lin Gui, Min Yang and Ruifeng Xu	N/A	N/A
Transition-based Semantic Dependency Parsing with Pointer Networks	Daniel Fernández-González and Carlos Gómez-Rodríguez	N/A	N/A
Translationese as a Language in “Multilingual” NMT	Parker Riley, Isaac Caswell, Markus Freitag and David Grangier	N/A	N/A
TransS-Driven Joint Learning Architecture for Implicit Discourse Relation Recognition	Ruifang He, Jian Wang, Fengyu Guo and Yugui Han	N/A	N/A
TVQA+: Spatio-Temporal Grounding for Video Question Answering	Jie Lei, Licheng Yu, Tamara Berg and Mohit Bansal	N/A	N/A
TXtract: Taxonomy-Aware Knowledge Extraction for Thousands of Product Categories	Giannis Karamanolakis, Jun Ma and Xin Luna Dong	N/A	N/A
Uncertainty-Aware Curriculum Learning for Neural Machine Translation	Yikai Zhou, Baosong Yang, Derek F. Wong, Yu Wan and Lidia S. Chao	N/A	N/A
Understanding Attention for Text Classification	Xiaobing Sun and Wei Lu	N/A	N/A
Understanding the Language of Political Agreement and Disagreement in Legislative Texts	Maryam Davoodi, Eric Waltenburg and Dan Goldwasser	N/A	N/A
Universal Decompositional Semantic Parsing	Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang and Benjamin Van Durme	N/A	N/A
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification	Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-Ming Wu and Albert Y.S. Lam	N/A	N/A
Unsupervised Alignment-based Iterative Evidence Retrieval for Multi-hop Question Answering	Vikas Yadav, Steven Bethard and Mihai Surdeanu	N/A	N/A
Unsupervised Cross-lingual Representation Learning at Scale	Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer and Veselin Stoyanov	N/A	N/A
Unsupervised Domain Clusters in Pretrained Language Models	Roee Aharoni and Yoav Goldberg	N/A	N/A
Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing	Ruisheng Cao, Su Zhu, Chenyu Yang, Chen Liu, Rao Ma, Yanbin Zhao, Lu Chen and Kai Yu	N/A	N/A
Unsupervised Morphological Paradigm Completion	Huiming Jin, Liwei Cai, Yihui Peng, Chen Xia, Arya McCarthy and Katharina Kann	N/A	N/A
Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting	Po-Yao Huang, Junjie Hu, Xiaojun Chang and Alexander Hauptmann	N/A	N/A
Unsupervised Opinion Summarization as Copycat-Review Generation	Arthur Bražinskas, Mirella Lapata and Ivan Titov	N/A	N/A
Unsupervised Opinion Summarization with Noising and Denoising	Reinald Kim Amplayo and Mirella Lapata	N/A	N/A
Unsupervised Paraphrasing by Simulated Annealing	Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou and Sen Song	N/A	N/A
USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation	Shikib Mehri and Maxine Eskenazi	N/A	N/A
Weight Poisoning Attacks on Pretrained Models	Keita Kurita, Paul Michel and Graham Neubig	N/A	N/A
What are the Goals of Distributional Semantics?	Guy Emerson	N/A	N/A
What determines the order of adjectives in English? Comparing efficiency-based theories using dependency treebanks	Richard Futrell, William Dyer and Greg Scontras	N/A	N/A
What Question Answering can Learn from Trivia Nerds	Jordan Boyd-Graber and Benjamin Börschinger	N/A	N/A
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context	Ramy Baly, Georgi Karadzhov, Jisun An, Haewoon Kwak, Yoan Dinkov, Ahmed Ali, James Glass and Preslav Nakov	N/A	N/A
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?	Kenneth Joseph and Jonathan Morgan	N/A	N/A
“Who said it, and Why?” Provenance for Natural Language Claims	Yi Zhang, Zachary Ives and Dan Roth	N/A	N/A
WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge	Hongming Zhang, Xinran Zhao and Yangqiu Song	N/A	N/A
Word-level Textual Adversarial Attacking as Combinatorial Optimization	Yuan Zang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Meng Zhang, Qun Liu and Maosong Sun	N/A	N/A
XtremeDistil: Multi-stage Distillation for Massive Multilingual Models	Subhabrata Mukherjee and Ahmed Hassan Awadallah	N/A	N/A
You Impress Me: Dialogue Generation via Mutual Persona Perception	Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou and Dongmei Zhang	N/A	N/A
Zero-shot Text Classification via Reinforced Self-training	Zhiquan Ye, Yuxia Geng, Jiaoyan Chen, Jingmin Chen, Xiaoxiao Xu, Suhang Zheng, Feng Wang, Jun Zhang and Huajun Chen	N/A	N/A
Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking	Giovanni Campagna, Agata Foryciarz, Mehrad Moradshahi and Monica Lam	N/A	N/A
ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages	Colin Lockard, Prashant Shiralkar, Xin Luna Dong and Hannaneh Hajishirzi	N/A	N/A
A Complete Shift-Reduce Chinese Discourse Parser with Robust Dynamic Oracle	Shyh-Shiun Hung, Hen-Hsen Huang and Hsin-Hsi Chen	N/A	N/A
A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers	Shen-yun Miao, Chao-Chun Liang and Keh-Yih Su	N/A	N/A
A Frame-based Sentence Representation for Machine Reading Comprehension	Shaoru Guo, Ru Li, Hongye Tan, Xiaoli Li, Yong Guan, Hongyan Zhao and Yueping Zhang	N/A	N/A
A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal	Demian Gholipour Ghalandari, Chris Hokamp, Nghia The Pham, John Glover and Georgiana Ifrim	N/A	N/A
A Multi-Perspective Architecture for Semantic Code Search	Rajarshi Haldar, Lingfei Wu, JinJun Xiong and Julia Hockenmaier	N/A	N/A
A negative case analysis of visual grounding methods for VQA	Robik Shrestha, Kushal Kafle and Christopher Kanan	N/A	N/A
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing	Kartik Goyal, Chris Dyer, Christopher Warren, Maxwell G’Sell and Taylor Berg-Kirkpatrick	N/A	N/A
A Re-evaluation of Knowledge Graph Completion Methods	Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha Talukdar and Yiming Yang	N/A	N/A
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization	Dai Quoc Nguyen, Tu Nguyen and Dinh Phung	N/A	N/A
A Relaxed Matching Procedure for Unsupervised BLI	Xu Zhao, Zihao Wang, Yong Zhang and Hao Wu	N/A	N/A
A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation	Shuo Ren, Yu Wu, Shujie Liu, Ming Zhou and Shuai Ma	N/A	N/A
A Simple and Effective Unified Encoder for Document-Level Machine Translation	Shuming Ma, Dongdong Zhang and Ming Zhou	N/A	N/A
A Tale of a Probe and a Parser	Rowan Hall Maudslay, Josef Valvoda, Tiago Pimentel, Adina Williams and Ryan Cotterell	N/A	N/A
A Three-Parameter Rank-Frequency Relation in Natural Languages	Chenchen Ding, Masao Utiyama and Eiichiro Sumita	N/A	N/A
A Transformer-based Approach for Source Code Summarization	Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray and Kai-Wei Chang	N/A	N/A
A Two-Stage Masked LM Method for Term Set Expansion	Guy Kushilevitz, Shaul Markovitch and Yoav Goldberg	N/A	N/A
A Two-Step Approach for Implicit Event Argument Detection	Zhisong Zhang, Xiang Kong, Zhengzhong Liu, Xuezhe Ma and Eduard Hovy	N/A	N/A
Active Learning for Coreference Resolution using Discrete Annotation	Belinda Z. Li, Gabriel Stanovsky and Luke Zettlemoyer	N/A	N/A
An Empirical Comparison of Unsupervised Constituency Parsing Methods	Jun Li, Yifan Cao, Jiong Cai, Yong Jiang and Kewei Tu	N/A	N/A
Analyzing the Persuasive Effect of Style in News Editorial Argumentation	Roxanne El Baff, Henning Wachsmuth, Khalid Al Khatib and Benno Stein	N/A	N/A
Are we Estimating or Guesstimating Translation Quality?	Shuo Sun, Francisco Guzmán and Lucia Specia	N/A	N/A
Attend to Medical Ontologies: Content Selection for Clinical Abstractive Summarization	Sajad Sotudeh Gharebagh, Nazli Goharian and Ross Filice	N/A	N/A
Autoencoding Keyword Correlation Graph for Document Clustering	Billy Chiu, Sunil Kumar Sahu, Derek Thomas, Neha Sengupta and Mohammady Mahdy	N/A	N/A
Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring	Haoran Zhang and Diane Litman	N/A	N/A
Automatic Machine Translation Evaluation using Source Language Inputs and Cross-lingual Language Model	Kosuke Takahashi, Katsuhito Sudoh and Satoshi Nakamura	N/A	N/A
Bayesian Hierarchical Words Representation Learning	Oren Barkan, Idan Rejwan, Avi Caciularu and Noam Koenigstein	N/A	N/A
Benefits of Intermediate Annotations in Reading Comprehension	Dheeru Dua, Sameer Singh and Matt Gardner	N/A	N/A
Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning	Zhuoren Jiang, Zhe Gao, Yu Duan, Yangyang Kang, Changlong Sun, Qiong Zhang and Xiaozhong Liu	N/A	N/A
Character-Level Translation with Self-attention	Yingqiang Gao, Nikola I. Nikolov, Yuhuang Hu and Richard H.R. Hahnloser	N/A	N/A
ClarQ: A large-scale and diverse dataset for Clarification Question Generation	Vaibhav Kumar and Alan W Black	N/A	N/A
Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction	Mladen Karan, Ivan Vulić, Anna Korhonen and Goran Glavaš	N/A	N/A
Clinical Concept Linking with Contextualized Neural Representations	Elliot Schumacher, Andriy Mulyar and Mark Dredze	N/A	N/A
Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain	Lukas Lange, Heike Adel and Jannik Strötgen	N/A	N/A
Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling	Zihan Liu, Genta Indra Winata, Peng Xu and Pascale Fung	N/A	N/A
Code-switching patterns can be an effective route to improve performance of downstream NLP applications: A case study of humour, sarcasm and hate speech detection	Srijan Bansal, Vishal Garimella, Ayush Suhane, Jasabanta Patro and Animesh Mukherjee	N/A	N/A
Composing Elementary Discourse Units in Abstractive Summarization	Zhenwen Li, Wenhao Wu and Sujian Li	N/A	N/A
Content Word Aware Neural Machine Translation	Kehai Chen, Rui Wang, Masao Utiyama and Eiichiro Sumita	N/A	N/A
Contextual Embeddings: When Are They Worth It?	Simran Arora, Avner May, Jian Zhang and Christopher Ré	N/A	N/A
Contextual Neural Machine Translation Improves Translation of Cataphoric Pronouns	KayYen Wong, Sameen Maruf and Gholamreza Haffari	N/A	N/A
Contextualized Sparse Representations for Real-Time Open-Domain Question Answering	Jinhyuk Lee, Minjoon Seo, Hannaneh Hajishirzi and Jaewoo Kang	N/A	N/A
Contextualizing Hate Speech Classifiers with Post-hoc Explanation	Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani and Xiang Ren	N/A	N/A
Contrastive Self-Supervised Learning for Commonsense Reasoning	Tassilo Klein and Moin Nabi	N/A	N/A
Controlled Crowdsourcing for High-Quality QA-SRL Annotation	Paul Roit, Ayal Klein, Daniela Stepanov, Jonathan Mamou, Julian Michael, Gabriel Stanovsky, Luke Zettlemoyer and Ido Dagan	N/A	N/A
Conversational Word Embedding for Retrieval-Based Dialog System	Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang and Guoping Hu	N/A	N/A
Crawling and Preprocessing Mailing Lists At Scale for Dialog Analysis	Janek Bevendorff, Khalid Al Khatib, Martin Potthast and Benno Stein	N/A	N/A
Crossing Variational Autoencoders for Answer Retrieval	Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng and Meng Jiang	N/A	N/A
DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference	Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu and Jimmy Lin	N/A	N/A
Designing Precise and Robust Dialogue Response Evaluators	Tianyu Zhao, Divesh Lala and Tatsuya Kawahara	N/A	N/A
Dialogue State Tracking with Explicit Slot Connection Modeling	Yawen Ouyang, Moxin Chen, Xinyu Dai, Yinggong Zhao, Shujian Huang and Jiajun Chen	N/A	N/A
Do Transformers Need Deep Long-Range Memory?	Jack Rae and Ali Razavi	N/A	N/A
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods	Ning Miao, Yuxuan Song, Hao Zhou and Lei Li	N/A	N/A
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation	Bei Li, Hui Liu, Ziyang Wang, Yufan Jiang, Tong Xiao, Jingbo Zhu, Tongran Liu and Changliang Li	N/A	N/A
Don’t Eclipse Your Arts Due to Small Discrepancies: Boundary Repositioning with a Pointer Network for Aspect Extraction	Zhenkai Wei, Yu Hong, Bowei Zou, Meng Cheng and Jianmin Yao	N/A	N/A
Dscorer: A Fast Evaluation Metric for Discourse Representation Structure Parsing	Jiangming Liu, Shay B. Cohen and Mirella Lapata	N/A	N/A
Dynamic Memory Induction Networks for Few-Shot Text Classification	Ruiying Geng, Binhua Li, Yongbin Li, Jian Sun and Xiaodan Zhu	N/A	N/A
Dynamic Sampling Strategies for Multi-Task Reading Comprehension	Ananth Gottumukkala, Dheeru Dua, Sameer Singh and Matt Gardner	N/A	N/A
Dynamically Adjusting Transformer Batch Size by Monitoring Gradient Direction Change	Hongfei Xu, Josef van Genabith, Deyi Xiong and Qiuhui Liu	N/A	N/A
Efficient strategies for hierarchical text classification: external knowledge and auxiliary tasks	Kervy Rivas Rojas, Gina Bustamante, Arturo Oncevay and Marco Antonio Sobrevilla Cabezudo	N/A	N/A
Embarrassingly Simple Unsupervised Aspect Extraction	Stéphan Tulkens and Andreas van Cranenburgh	N/A	N/A
Enabling Language Models to Fill in the Blanks	Chris Donahue, Mina Lee and Percy Liang	N/A	N/A
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction	Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki and Kentaro Inui	N/A	N/A
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation	Lifu Tu, Richard Yuanzhe Pang, Sam Wiseman and Kevin Gimpel	N/A	N/A
Enhancing Machine Translation with Dependency-Aware Self-Attention	Emanuele Bugliarello and Naoaki Okazaki	N/A	N/A
Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention	Yanzeng Li, Bowen Yu, Xue Mengge and Tingwen Liu	N/A	N/A
Enriched In-Order Linearization for Faster Sequence-to-Sequence Constituent Parsing	Daniel Fernández-González and Carlos Gómez-Rodríguez	N/A	N/A
Entity-Aware Dependency-Based Deep Graph Attention Network for Comparative Preference Classification	Nianzu Ma, Sahisnu Mazumder, Hao Wang and Bing Liu	N/A	N/A
Estimating Mutual Information Between Dense Word Embeddings	Vitalii Zhelezniak, Aleksandar Savkov and Nils Hammerla	N/A	N/A
Evaluating Dialogue Generation Systems via Response Selection	Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki and Kentaro Inui	N/A	N/A
Evaluating Robustness to Input Perturbations for Neural Machine Translation	Xing Niu, Prashant Mathur, Georgiana Dinu and Yaser Al-Onaizan	N/A	N/A
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks	Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen and Liang Wang	N/A	N/A
ExpBERT: Representation Engineering with Natural Language Explanations	Shikhar Murty, Pang Wei Koh and Percy Liang	N/A	N/A
Exploiting Personal Characteristics of Debaters for Predicting Persuasiveness	Khalid Al Khatib, Michael Völske, Shahbaz Syed, Nikolay Kolyada and Benno Stein	N/A	N/A
Exploring Content Selection in Summarization of Novel Chapters	Faisal Ladhak, Bryan Li, Yaser Al-Onaizan and Kathy McKeown	N/A	N/A
Fact-based Content Weighting for Evaluating Abstractive Summarisation	Xinnuo Xu, Ondřej Dušek, Jingyi Li, Verena Rieser and Ioannis Konstas	N/A	N/A
Fatality Killed the Cat or: BabelPic, a Multimodal Dataset for Non-Concrete Concepts	Agostina Calabrese, Michele Bevilacqua and Roberto Navigli	N/A	N/A
Few-Shot NLG with Pre-Trained Language Model	Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu and William Yang Wang	N/A	N/A
FLAT: Chinese NER Using Flat-Lattice Transformer	Xiaonan Li, Hang Yan, Xipeng Qiu and Xuanjing Huang	N/A	N/A
GAN-BERT: Generative Adversarial Learning for Robust Text Classification with a Bunch of Labeled Examples	Danilo Croce, Giuseppe Castellucci and Roberto Basili	N/A	N/A
Geometry-aware domain adaptation for unsupervised alignment of word embeddings	Pratik Jawanpuria, Mayank Meghwanshi and Bamdev Mishra	N/A	N/A
Give Me Convenience and Give Her Death: Who Should Decide What Uses of NLP are Appropriate, and on What Basis?	Kobi Leins, Jey Han Lau and Timothy Baldwin	N/A	N/A
Glyph2Vec: Learning Chinese Out-of-Vocabulary Word Embedding from Glyphs	Hong-You Chen, SZ-HAN YU and Shou-de Lin	N/A	N/A
GPT-too: A language-model-first approach for AMR-to-text generation	Manuel Mager, Ramón Fernandez Astudillo, Tahira Naseem, Md Arafat Sultan, Young-Suk Lee, Radu Florian and Salim Roukos	N/A	N/A
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?	Tal Linzen	N/A	N/A
Hypernymy Detection for Low-Resource Languages via Meta Learning	Changlong Yu, Jialong Han, Haisong Zhang and Wilfred Ng	N/A	N/A
Identifying Principals and Accessories in a Complex Case based on the Comprehension of Fact Description	Yakun Hu, Zhunchen Luo and Wenhan Chao	N/A	N/A
Implicit Discourse Relation Classification: We Need to Talk about Evaluation	Najoung Kim, Song Feng, Chulaka Gunasekara and Luis Lastras	N/A	N/A
Improved Speech Representations with Multi-Target Autoregressive Predictive Coding	Yu-An Chung and James Glass	N/A	N/A
Improving Entity Linking through Semantic Reinforced Entity Embeddings	Feng Hou, Ruili Wang, Jun He and Yi Zhou	N/A	N/A
Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling	Canasai Kruengkrai, Thien Hai Nguyen, Sharifah Mahani Aljunied and Lidong Bing	N/A	N/A
Improving Non-autoregressive Neural Machine Translation with Monolingual Data	Jiawei Zhou and Phillip Keung	N/A	N/A
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation	Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu and Graham Neubig	N/A	N/A
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition	Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno and Kentaro Inui	N/A	N/A
Interpretable Operational Risk Classification with Semi-Supervised Variational Autoencoder	Fan Zhou, Shengming Zhang and Yi Yang	N/A	N/A
Interpreting Twitter User Geolocation	Ting Zhong, Tianliang Wang, Fan Zhou, Goce Trajcevski, Kunpeng Zhang and Yi Yang	N/A	N/A
Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds	Kawin Ethayarajh	N/A	N/A
It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information	Emanuele Bugliarello, Sabrina J. Mielke, Antonios Anastasopoulos, Ryan Cotterell and Naoaki Okazaki	N/A	N/A
Keyphrase Generation for Scientific Document Retrieval	Florian Boudin, Ygor Gallina and Akiko Aizawa	N/A	N/A
Knowledge Supports Visual Language Grounding: A Case Study on Colour Terms	Simeon Schüz and Sina Zarrieß	N/A	N/A
Language-aware Interlingua for Multilingual Neural Machine Translation	Changfeng Zhu, Heng Yu, Shanbo Cheng and Weihua Luo	N/A	N/A
Learning an Unreferenced Metric for Online Dialogue Evaluation	Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton and Joelle Pineau	N/A	N/A
Learning Implicit Text Generation via Feature Matching	Inkit Padhi, Pierre Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh and Payel Das	N/A	N/A
Learning Low-Resource End-To-End Goal-Oriented Dialog for Fast and Reliable System Deployment	Yinpei Dai, Hangyu Li, Chengguang Tang, Yongbin Li, Jian Sun and Xiaodan Zhu	N/A	N/A
Learning Robust Models for e-Commerce Product Search	Thanh Nguyen, Nikhil Rao and Karthik Subbian	N/A	N/A
Learning Spoken Language Representations with Neural Lattice Language Modeling	Chao-Wei Huang and Yun-Nung Chen	N/A	N/A
Learning to Tag OOV Tokens by Integrating Contextual Representation and Background Knowledge	Keqing He, Yuanmeng Yan and Weiran XU	N/A	N/A
Learning to Understand Child-directed and Adult-directed Speech	Lieke Gelderloos, Grzegorz Chrupała and Afra Alishahi	N/A	N/A
Let Me Choose: From Verbal Context to Font Selection	Amirreza Shirani, Franck Dernoncourt, Jose Echevarria, Paul Asente, Nedim Lipka and Thamar Solorio	N/A	N/A
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation	Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Chen, Sneha Kudugunta, Naveen Arivazhagan and Yonghui Wu	N/A	N/A
Lexically Constrained Neural Machine Translation with Levenshtein Transformer	Raymond Hendy Susanto, Shamil Chollampatt and Liling Tan	N/A	N/A
Lipschitz Constrained Parameter Initialization for Deep Transformers	Hongfei Xu, Qiuhui Liu, Josef van Genabith, Deyi Xiong and Jingyi Zhang	N/A	N/A
Logic-Guided Data Augmentation and Regularization for Consistent Question Answering	Akari Asai and Hannaneh Hajishirzi	N/A	N/A
Low Resource Sequence Tagging using Sentence Reconstruction	Tal Perl, Sriram Chaudhury and Raja Giryes	N/A	N/A
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations	Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz and Phil Blunsom	N/A	N/A
Masking Actor Information Leads to Fairer Political Claims Detection	Erenay Dayanik and Sebastian Padó	N/A	N/A
Meta-Transfer Learning for Code-Switched Speech Recognition	Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Peng Xu and Pascale Fung	N/A	N/A
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization	Shengyu Jia, Tao Meng, Jieyu Zhao and Kai-Wei Chang	N/A	N/A
Modeling Label Semantics for Predicting Emotional Reactions	Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian and Nathanael Chambers	N/A	N/A
Modeling Long Context for Task-Oriented Dialogue State Generation	Jun Quan and Deyi Xiong	N/A	N/A
Modeling Word Formation in English–German Neural Machine Translation	Marion Weller-Di Marco and Alexander Fraser	N/A	N/A
MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs	Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu and Jie Tang	N/A	N/A
Multimodal and Multiresolution Speech Recognition with Transformers	Georgios Paraskevopoulos, Srinivas Parthasarathy, Aparna Khare and Shiva Sundaram	N/A	N/A
Multimodal Quality Estimation for Machine Translation	Shu Okabe, Frédéric Blain and Lucia Specia	N/A	N/A
Multimodal Transformer for Multimodal Machine Translation	Shaowei Yao and Xiaojun Wan	N/A	N/A
Named Entity Recognition as Dependency Parsing	Juntao Yu, Bernd Bohnet and Massimo Poesio	N/A	N/A
Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot Fly	Nora Kassner and Hinrich Schütze	N/A	N/A
Neural Graph Matching Networks for Chinese Short Text Matching	Lu Chen, Yanbin Zhao, Boer Lv, Lesheng Jin, Zhi Chen, Su Zhu and Kai Yu	N/A	N/A
Neural Temporal Opinion Modelling for Opinion Prediction on Twitter	Lixing Zhu, Yulan He and Deyu Zhou	N/A	N/A
Neural-DINF: A Neural Network based Framework for Measuring Document Influence	Jie Tan, Changlin Yang, Ying Li, Siliang Tang, Chen Huang and Yueting Zhuang	N/A	N/A
Non-Linear Instance-Based Cross-Lingual Mapping for Non-Isomorphic Embedding Spaces	Goran Glavaš and Ivan Vulić	N/A	N/A
“None of the Above”: Measure Uncertainty in Dialog Response Retrieval	Yulan Feng, Shikib Mehri, Maxine Eskenazi and Tiancheng Zhao	N/A	N/A
On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation	Chaojun Wang and Rico Sennrich	N/A	N/A
On Forgetting to Cite Older Papers: An Analysis of the ACL Anthology	Marcel Bollmann and Desmond Elliott	N/A	N/A
On Importance Sampling-Based Evaluation of Latent Language Models	Robert L Logan IV, Matt Gardner and Sameer Singh	N/A	N/A
On the Importance of Diversity in Question Generation for QA	Md Arafat Sultan, Shubham Chandel, Ramón Fernandez Astudillo and Vittorio Castelli	N/A	N/A
On the Spontaneous Emergence of Discrete and Compositional Signals	Nur Geffen Lan, Emmanuel Chemla and Shane Steinert-Threlkeld	N/A	N/A
OpinionDigest: A Simple Framework for Opinion Summarization	Yoshihiko Suhara, Xiaolan Wang, Stefanos Angelidis and Wang-Chiew Tan	N/A	N/A
Opportunistic Decoding with Timely Correction for Simultaneous Translation	Renjie Zheng, Mingbo Ma, Baigong Zheng, Kaibo Liu and Liang Huang	N/A	N/A
Overestimation of Syntactic Representation in Neural Language Models	Jordan Kodner and Nitish Gupta	N/A	N/A
Parallel Data Augmentation for Formality Style Transfer	Yi Zhang, Tao Ge and Xu SUN	N/A	N/A
Parallel Sentence Mining by Constrained Decoding	Pinzhen Chen, Nikolay Bogoychev, Kenneth Heafield and Faheem Kirefu	N/A	N/A
Posterior Calibrated Training on Sentence Classification Tasks	Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch and Thomas Schaaf	N/A	N/A
Predicting Degrees of Technicality in Automatic Terminology Extraction	Anna Hätty, Dominik Schlechtweg, Michael Dorna and Sabine Schulte im Walde	N/A	N/A
Pretrained Transformers Improve Out-of-Distribution Robustness	Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, Adam Dziedzic, Rishabh Krishnan and Dawn Song	N/A	N/A
Quantifying Attention Flow in Transformers	Samira Abnar and Willem Zuidema	N/A	N/A
Query Graph Generation for Answering Multi-hop Complex Questions from Knowledge Bases	Yunshi Lan and Jing Jiang	N/A	N/A
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason	Naoya Inoue, Pontus Stenetorp and Kentaro Inui	N/A	N/A
Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models	Maarten Sap, Eric Horvitz, Yejin Choi, Noah A. Smith and James Pennebaker	N/A	N/A
Recursive Template-based Frame Generation for Task Oriented Dialog	Rashmi Gangadharaiah and Balakrishnan Narayanaswamy	N/A	N/A
Regularized Context Gates on Transformer for Machine Translation	Xintong Li, Lemao Liu, Rui Wang, Guoping Huang and Max Meng	N/A	N/A
Relation Extraction with Explanation	Hamed Shahbazi, Xiaoli Fern, Reza Ghaeini and Prasad Tadepalli	N/A	N/A
Representations of Syntax [MASK] Useful: Effects of Constituency and Dependency Structure in Recursive LSTMs	Michael Lepori, Tal Linzen and R. Thomas McCoy	N/A	N/A
Returning the N to NLP: Towards Contextually Personalized Classification Models	Lucie Flek	N/A	N/A
Reverse Engineering Configurations of Neural Text Generation Models	Yi Tay, Dara Bahri, Che Zheng, Clifford Brunk, Donald Metzler and Andrew Tomkins	N/A	N/A
Revisiting Higher-Order Dependency Parsers	Erick Fonseca and André F. T. Martins	N/A	N/A
Revisiting Unsupervised Relation Extraction	Thy Thy Tran, Phong Le and Sophia Ananiadou	N/A	N/A
SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions	Mao Ye, Chengyue Gong and Qiang Liu	N/A	N/A
Self-Attention Guided Copy Mechanism for Abstractive Summarization	Song Xu, Haoran Li, Peng Yuan, Youzheng Wu, Xiaodong He and Bowen Zhou	N/A	N/A
Self-Attention with Cross-Lingual Position Representation	Liang Ding, Longyue Wang and Dacheng Tao	N/A	N/A
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity	Nina Poerner, Ulli Waltinger and Hinrich Schütze	N/A	N/A
Shape of synth to come: Why we should use synthetic data for English surface realization	Henry Elder, Robert Burke, Alexander O’Connor and Jennifer Foster	N/A	N/A
Shaping Visual Representations with Language for Few-Shot Classification	Jesse Mu, Percy Liang and Noah Goodman	N/A	N/A
Showing Your Work Doesn’t Always Work	Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu and Jimmy Lin	N/A	N/A
Simple and Effective Retrieve-Edit-Rerank Text Generation	Nabil Hossain, Marjan Ghazvininejad and Luke Zettlemoyer	N/A	N/A
Simultaneous Translation Policies: From Fixed to Adaptive	Baigong Zheng, Kaibo Liu, Renjie Zheng, Mingbo Ma, Hairong Liu and Liang Huang	N/A	N/A
Single Model Ensemble using Pseudo-Tags and Distinct Vectors	Ryosuke Kuwabara, Jun Suzuki and Hideki Nakayama	N/A	N/A
Smart To-Do: Automatic Generation of To-Do Items from Emails	Sudipto Mukherjee, Subhabrata Mukherjee, Marcello Hasegawa, Ahmed Hassan Awadallah and Ryen White	N/A	N/A
Social Biases in NLP Models as Barriers for Persons with Disabilities	Ben Hutchinson, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong and Stephen Denuyl	N/A	N/A
Soft Gazetteers for Low-Resource Named Entity Recognition	Shruti Rijhwani, Shuyan Zhou, Graham Neubig and Jaime Carbonell	N/A	N/A
Span-ConveRT: Few-shot Span Extraction for Dialog with Pretrained Conversational Representations	Samuel Coope, Tyler Farghly, Daniela Gerz, Ivan Vulić and Matthew Henderson	N/A	N/A
Stolen Probability: A Structural Weakness of Neural Language Models	David Demeter, Gregory Kimmel and Doug Downey	N/A	N/A
Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture	Christopher Brix, Parnia Bahar and Hermann Ney	N/A	N/A
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization	Yang Gao, Wei Zhao and Steffen Eger	N/A	N/A
Supervised Grapheme-to-Phoneme Conversion of Orthographic Schwas in Hindi and Punjabi	Aryaman Arora, Luke Gessler and Nathan Schneider	N/A	N/A
Syntactic Data Augmentation Increases Robustness to Inference Heuristics	Junghyun Min, R. Thomas McCoy, Dipanjan Das, Emily Pitler and Tal Linzen	N/A	N/A
Tagged Back-translation Revisited: Why Does It Really Work?	Benjamin Marie, Raphael Rubino and Atsushi Fujita	N/A	N/A
tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection	Nicole Peinelt, Dong Nguyen and Maria Liakata	N/A	N/A
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering	Alexander Fabbri, Patrick Ng, Zhiguo Wang, Ramesh Nallapati and Bing Xiang	N/A	N/A
Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference	Nikita Kitaev and Dan Klein	N/A	N/A
Text Classification with Negative Supervision	Sora Ohashi, Junya Takayama, Tomoyuki Kajiwara, Chenhui Chu and Yuki Arase	N/A	N/A
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks	Sinong Wang, Madian Khabsa and Hao Ma	N/A	N/A
Topological Sort for Sentence Ordering	Shrimai Prabhumoye, Ruslan Salakhutdinov and Alan W Black	N/A	N/A
Toward Better Storylines with Sentence-Level Language Models	Daphne Ippolito, David Grangier, Douglas Eck and Chris Callison-Burch	N/A	N/A
Towards Better Non-Tree Argument Mining: Proposition-Level Biaffine Parsing with Task-Specific Parameterization	Gaku Morio, Hiroaki Ozaki, Terufumi Morishita, Yuta Koreeda and Kohsuke Yanai	N/A	N/A
Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations	Karan Singla, Zhuohao Chen, David Atkins and Shrikanth Narayanan	N/A	N/A
Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?	Alon Jacovi and Yoav Goldberg	N/A	N/A
Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation	Aakanksha Naik and Carolyn Rose	N/A	N/A
Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering	Changmao Li and Jinho D. Choi	N/A	N/A
Treebank Embedding Vectors for Out-of-domain Dependency Parsing	Joachim Wagner, James Barry and Jennifer Foster	N/A	N/A
Tree-Structured Neural Topic Model	Masaru Isonuma, Junichiro Mori, Danushka Bollegala and Ichiro Sakata	N/A	N/A
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition	Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar and Xiang Ren	N/A	N/A
Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data	Hamidreza Shahidi, Ming Li and Jimmy Lin	N/A	N/A
Uncertain Natural Language Inference	Tongfei Chen, Zhengping Jiang, Adam Poliak, Keisuke Sakaguchi and Benjamin Van Durme	N/A	N/A
Understanding Advertisements with BERT	Kanika Kalra, Bhargav Kurma, Silpa Vadakkeeveetil Sreelatha, Manasi Patwardhan and Shirish Karande	N/A	N/A
Unsupervised FAQ Retrieval with Question Generation and BERT	Yosi Mass, Boaz Carmeli, Haggai Roitman and David Konopnicki	N/A	N/A
Using Context in Neural Machine Translation Training Objectives	Danielle Saunders, Felix Stahlberg and Bill Byrne	N/A	N/A
Variational Neural Machine Translation with Normalizing Flows	Hendra Setiawan, Matthias Sperber, Udhyakumar Nallasamy and Matthias Paulik	N/A	N/A
Verbal Multiword Expressions for Identification of Metaphor	Omid Rohanian, Marek Rei, Shiva Taslimipoor and Le An Ha	N/A	N/A
Video-Grounded Dialogues with Pretrained Generation Language Models	Hung Le and Steven C.H. Hoi	N/A	N/A
What Does BERT with Vision Look At?	Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh and Kai-Wei Chang	N/A	N/A
What is Learned in Visually Grounded Neural Syntax Acquisition	Noriyuki Kojima, Hadar Averbuch-Elor, Alexander Rush and Yoav Artzi	N/A	N/A
Why Overfitting Isn’t Always Bad: Retrofitting Cross-Lingual Word Embeddings to Dictionaries	Mozhi Zhang, Yoshinari Fujinuma, Michael J. Paul and Jordan Boyd-Graber	N/A	N/A
Will-They-Won’t-They: A Very Large Dataset for Stance Detection on Twitter	Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd and Nigel Collier	N/A	N/A
Words aren’t enough, their order matters: On the Robustness of Grounding Visual Referring Expressions	Arjun Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu and Siva Reddy	N/A	N/A
Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation	Shun-Po Chuang, Tzu-Wei Sung, Alexander H. Liu and Hung-yi Lee	N/A	N/A
Would you Rather? A New Benchmark for Learning Machine Alignment with Cultural Values and Social Preferences	Yi Tay, Donovan Ong, Jie Fu, Alvin Chan, Nancy Chen, Anh Tuan Luu and Chris Pal	N/A	N/A
You Don’t Have Time to Read This: An Exploration of Document Reading Time Prediction	Orion Weller, Jordan Hildebrandt, Ilya Reznik, Christopher Challis, E. Shannon Tass, Quinn Snell and Kevin Seppi	N/A	N/A
``You Sound Just Like Your Father’’ Commercial Machine Translation Systems Include Stylistic Biases	Dirk Hovy, Federico Bianchi and Tommaso Fornaciari	N/A	N/A
ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT	Linfeng Song, Kun Xu, Yue Zhang, Jianshu Chen and Dong Yu	N/A	N/A
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational Agents	Chia-Yu Li, Daniel Ortega, Dirk Väth, Florian Lux, Lindsey Vanderlyn, Maximilian Schmidt, Michael Neumann, Moritz Völkel, Pavel Denisov, Sabrina Jenne, Zorica Kacarevic and Ngoc Thang Vu	N/A	N/A
BENTO: A Visual Platform for Building Clinical NLP Pipelines Based on CodaLab	Yonghao Jin, Fei Li and Hong Yu	N/A	N/A
Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes	Pengfei Cao, Chenwei Yan, xiangling fu, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu and Weifeng Chong	N/A	N/A
CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task	Shuo Sun, Suzanna Sia and Kevin Duh	N/A	N/A
Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems	Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng and Jianfeng Gao	N/A	N/A
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems	Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, xiaoyan zhu and Minlie Huang	N/A	N/A
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation	Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu and Bill Dolan	N/A	N/A
Embedding-based Scientific Literature Discovery in a Text Editor Application	Onur Gökçe, Jonathan Prada, Nikola Nikolov, Nianlong Gu and Richard Hahnloser	N/A	N/A
ESPnet-ST: All-in-One Speech Translation Toolkit	Hirofumi Inaguma, Shun Kiyono, Kevin Duh, Shigeki Karita, Nelson Yalta, Tomoki Hayashi and Shinji Watanabe	N/A	N/A
EVIDENCEMINER: Textual Evidence Discovery for Life Sciences	Xuan Wang, Yingjun Guan, Weili Liu, Aabhas Chauhan, Enyi Jiang, Qi Li, David Liem, Dibakar Sigdel, John Caufield, Peipei Ping and Jiawei Han	N/A	N/A
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models	Benjamin Hoover, Hendrik Strobelt and Sebastian Gehrmann	N/A	N/A
GAIA: A Fine-grained Multimedia Knowledge Extraction System	Manling Li, Alireza Zareian, Ying Lin, Xiaoman Pan, Spencer Whitehead, BRIAN CHEN, Bo Wu, Heng Ji, Shih-Fu Chang, Clare Voss, Daniel Napierski and Marjorie Freedman	N/A	N/A
Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations	Toby Jia-Jun Li, Tom Mitchell and Brad Myers	N/A	N/A
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models	Yada Pruksachatkun, Phil Yeres, Haokun Liu, Jason Phang, Phu Mon Htut, Alex Wang, Ian Tenney and Samuel R. Bowman	N/A	N/A
Label Noise in Context	Michael Desmond, Catherine Finegan-Dollak, Jeff Boston and Matt Arnold	N/A	N/A
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation	Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves and Xiang Ren	N/A	N/A
LinggleWrite: a Coaching System for Essay Writing	Chung-Ting Tsai, Jhih-Jie Chen, Chingyu Yang and Jason Chang	N/A	N/A
MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform	Xiang Gao, Michel Galley and Bill Dolan	N/A	N/A
MMPE: A Multi-Modal Interface using Handwriting, Touch Reordering, and Speech Commands for Post-Editing Machine Translation	Nico Herbig, Santanu Pal, Tim Düwel, Kalliopi Maria Meladaki, Mahsa Monshizadeh, Vladislav Hnatovskiy, Antonio Krüger and Josef van Genabith	N/A	N/A
Multilingual Universal Sentence Encoder for Semantic Retrieval	Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernandez Abrego, Steve Yuan, Chris Tar, Yun-hsuan Sung, Brian Strope and Ray Kurzweil	N/A	N/A
Nakdan: Professional Hebrew Diacritizer	Avi Shmidman, Shaltiel Shmidman, Moshe Koppel and Yoav Goldberg	N/A	N/A
NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature	Saif Mohammad	N/A	N/A
NSTM: Real-Time Query-Driven News Overview Composition at Bloomberg	Joshua Bambrick, Minjie Xu, Andy Almonte, Igor Malioutov, Guim Perarnau, Vittorio Selo and Iat Chong Chan	N/A	N/A
OpusFilter: A Configurable Parallel Corpus Filtering Toolbox	Mikko Aulamo, Sami Virpioja and Jörg Tiedemann	N/A	N/A
Penman: An Open-Source Library and Tool for AMR Graphs	Michael Wayne Goodman	N/A	N/A
Personalized PageRank with Syntagmatic Information for Multilingual Word Sense Disambiguation	Federico Scozzafava, Marco Maru, Fabrizio Brignone, Giovanni Torrisi and Roberto Navigli	N/A	N/A
Photon: A Robust Cross-Domain Text-to-SQL System	Jichuan Zeng, Xi Victoria Lin, Steven C.H. Hoi, Richard Socher, Caiming Xiong, Michael Lyu and Irwin King	N/A	N/A
Prta: A System to Support the Analysis of Propaganda Techniques in the News	Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño and Preslav Nakov	N/A	N/A
pyBART: Evidence-based Syntactic Transformations for IE	Aryeh Tiktinsky, Yoav Goldberg and Reut Tsarfaty	N/A	N/A
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages	Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton and Christopher D. Manning	N/A	N/A
Stimulating Creativity with FunLines: A Case Study of Humor Generation in Headlines	Nabil Hossain, John Krumm, Tanvir Sajed and Henry Kautz	N/A	N/A
SUPP.AI: finding evidence for supplement-drug interactions	Lucy Wang, Oyvind Tafjord, Arman Cohan, Sarthak Jain, Sam Skjonsberg, Carissa Schoenick, Nick Botner and Waleed Ammar	N/A	N/A
Syntactic Search by Example	Micah Shlain, Hillel Taub-Tabib, Shoval Sadde and Yoav Goldberg	N/A	N/A
SyntaxGym: An Online Platform for Targeted Evaluation of Language Models	Jon Gauthier, Jennifer Hu, Ethan Wilcox, Peng Qian and Roger Levy	N/A	N/A
Tabouid: a Wikipedia-based word guessing game	Timothée Bernard	N/A	N/A
Talk to Papers: Bringing Neural Question Answering to Academic Search	Tiancheng Zhao and Kyusong Lee	N/A	N/A
TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing	Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang and Guoping Hu	N/A	N/A
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding	Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao and Jianfeng Gao	N/A	N/A
Torch-Struct: Deep Structured Prediction Library	Alexander Rush	N/A	N/A
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time	Benjamin Nye, Ani Nenkova, Iain Marshall and Byron C. Wallace	N/A	N/A
Usnea: An Authorship Tool for Interactive Fiction using Retrieval Based Semantic Parsing	Ben Swanson and Boris Smus	N/A	N/A
What’s The Latest? A Question-driven News Chatbot	Philippe Laban, John Canny and Marti A. Hearst	N/A	N/A
Xiaomingbot: A Multilingual Robot News Reporter	Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang and Lei Li	N/A	N/A
#NotAWhore! A Computational Linguistic Perspective of Rape Culture and Victimization on Social Media	Ashima Suvarna and Grusha Bhalla	N/A	N/A
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples	Zhao Meng and Roger Wattenhofer	N/A	N/A
A Simple and Effective Dependency parser for Telugu	Sneha Nallani, Manish Shrivastava and Dipti Sharma	N/A	N/A
Adaptive Transformers for Learning Multimodal Representations	Prajjwal Bhargava	N/A	N/A
AraDIC: Arabic Document Classification Using Image-Based Character Embeddings and Class-Balanced Loss	Mahmoud Daif, Shunsuke Kitada and Hitoshi Iyatomi	N/A	N/A
Building a Japanese Typo Dataset from Wikipedia’s Revision History	Yu Tanaka, Yugo Murawaki, Daisuke Kawahara and Sadao Kurohashi	N/A	N/A
Checkpoint Reranking: An Approach To Select Better Hypothesis For Neural Machine Translation Systems	Vinay Pandramish and Dipti Misra Sharma	N/A	N/A
Combining Subword Representations into Word-level Representations in the Transformer Architecture	Noe Casas, Marta R. Costa-jussà and José A. R. Fonollosa	N/A	N/A
Compositional generalization by factorizing alignment and translation	Jacob Russin, Jason Jo, Randall O’Reilly and Yoshua Bengio	N/A	N/A
Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling	David Harbecke and Christoph Alt	N/A	N/A
Crossing the Line: Where do Demographic Variables Fit into Humor Detection?	J. A. Meaney	N/A	N/A
Cross-Lingual Disaster-related Multi-label Tweet Classification with Manifold Mixup	Jishnu Ray Chowdhury, Cornelia Caragea and Doina Caragea	N/A	N/A
Dominance as an Indicator of Rapport and Learning in Human-Agent Communication	Amanda Buddemeyer, Xiaoyi Tian and Erin Walker	N/A	N/A
Effectively Aligning and Filtering Parallel Corpora under Sparse Data Conditions	Steinþór Steingrímsson	N/A	N/A
Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages	Vikrant Goyal, Sourav Kumar and Dipti Misra Sharma	N/A	N/A
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition	Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki and Kentaro Inui	N/A	N/A
Enhancing Word Embeddings with Knowledge Extracted from Lexical Resources	Magdalena Biesialska, bardia rafieian and Marta R. Costa-jussà	N/A	N/A
Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder	Zheng Tang, Gus Hahn-Powell and Mihai Surdeanu	N/A	N/A
Exploring the Role of Context to Distinguish Rhetorical and Information-Seeking Questions	Yuan Zhuang and Ellen Riloff	N/A	N/A
Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information	Hyeryun Park, Kyungmo Kim, Jooyoung Yoon, Seongkeun Park and Jinwook Choi	N/A	N/A
Grammatical Error Correction Using Pseudo Learner Corpus Considering Learner’s Error Tendency	Yujin Takahashi, Satoru Katsumata and Mamoru Komachi	N/A	N/A
HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing	Miaomiao Yu, Yujiu Yang and Chenhui Li	N/A	N/A
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?	Gantavya Bhatt, Hritik Bansal, Rishubh Singh and Sumeet Agarwal	N/A	N/A
υBLEU: Uncertainty-Aware Automatic Evaluation Method for Open-Domain Dialogue Systems	Tsuta Yuma, Naoki Yoshinaga and Masashi Toyoda	N/A	N/A
Inducing Grammar from Long Short-Term Memory Networks by Shapley Decomposition	Yuhui Zhang and Allen Nie	N/A	N/A
Let’s be Humorous: Knowledge Enhanced Humor Generation	Hang Zhang, Dayiheng Liu, Jiancheng Lv and Luo Cheng	N/A	N/A
Logical Inferences with Comparatives and Generalized Quantifiers	Izumi Haruta, Koji Mineshima and Daisuke Bekki	N/A	N/A
Media Bias, the Social Sciences, and NLP: Automating Frame Analyses to Identify Bias by Word Choice and Labeling	Felix Hamborg	N/A	N/A
Multi-Task Neural Model for Agglutinative Language Translation	Yirong Pan, Xiao Li, Yating Yang and Rui Dong	N/A	N/A
Noise-Based Augmentation Techniques for Emotion Datasets: What do we Recommend?	Mimansa Jaiswal and Emily Mower Provost	N/A	N/A
Non-Topical Coherence in Social Talk: A Call for Dialogue Model Enrichment	Alex Lưu and Sophia A. Malamud	N/A	N/A
Pointwise Paraphrase Appraisal is Potentially Problematic	Hannah Chen, Yangfeng Ji and David Evans	N/A	N/A
Pre-training via Leveraging Assisting Languages for Neural Machine Translation	Haiyue Song, Raj Dabre, Zhuoyuan Mao, Fei Cheng, Sadao Kurohashi and Eiichiro Sumita	N/A	N/A
Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation	Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita and Kentaro Inui	N/A	N/A
Reflection-based Word Attribute Transfer	Yoichi Ishibashi, Katsuhito Sudoh, Koichiro Yoshino and Satoshi Nakamura	N/A	N/A
Research on Task Discovery for Transfer Learning in Deep Neural Networks	Arda Akdemir	N/A	N/A
Research Replication Prediction Using Weakly Supervised Learning	Tianyi Luo, Xingyu Li, Hainan Wang and Yang Liu	N/A	N/A
RPD: A Distance Function Between Word Embeddings	Xuhui Zhou, Shujian Huang and Zaixiang Zheng	N/A	N/A
SCAR: Sentence Compression using Autoencoders for Reconstruction	Chanakya Malireddy, Tirth Maniar and Manish Shrivastava	N/A	N/A
Self-Attention is Not Only a Weight: Analyzing BERT with Vector Norms	Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi and Kentaro Inui	N/A	N/A
Story-level Text Style Transfer: A Proposal	Yusu Qian	N/A	N/A
To compress or not to compress? A Finite-State approach to Nen verbal morphology	Saliha Muradoglu, Nicholas Evans and Hanna Suominen	N/A	N/A
Topic balancing with additive regularization of topic models	Eugeniia Veselova and Konstantin Vorontsov	N/A	N/A
Transferring Monolingual Model to Low-Resource Language: The Case of Tigrinya	Abrhalei Frezghi Tela, Abraham Woubie Zewoudie and Ville Hautamäki	N/A	N/A
Understanding Points of Correspondence between Sentences for Abstractive Summarization	Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang and Fei Liu	N/A	N/A
Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining	Ivana Kvapilíková, Mikel Artetxe, Gorka Labaka, Eneko Agirre and Ondřej Bojar	N/A	N/A
Unsupervised Paraphasia Classification in Aphasic Speech	Sharan Pai, Nikhil Sachdeva, Prince Sachdeva and Rajiv Ratn Shah	N/A	N/A
Why is penguin more similar to polar bear than to sea gull? Analyzing conceptual knowledge in distributional models	Pia Sommerauer	N/A	N/A
Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition	Hwichan Kim, Tosho Hirasawa and Mamoru Komachi	N/A	N/A

ACL 2021

Title	Author	PDF_Link	Code_URL
Vocabulary Learning via Optimal Transport for Neural Machine Translation	Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng and Lei Li	N/A	N/A
Including Signed Languages in Natural Language Processing	Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg and Malihe Alikhani	N/A	N/A
All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text	Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan and Noah A. Smith	N/A	N/A
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning	Armen Aghajanyan, Sonal Gupta and Luke Zettlemoyer	N/A	N/A
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering	Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei and Christopher Manning	N/A	N/A
Neural Machine Translation with Monolingual Translation Memory	Deng Cai, Yan Wang, Huayang Li, Wai Lam and Lemao Liu	N/A	N/A
Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers	Benjamin Marie, Atsushi Fujita and Raphael Rubino	N/A	N/A
UnNatural Language Inference	Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau and Adina Williams	N/A	N/A
Semi-Supervised Text Classification with Balanced Deep Representation Distributions	Changchun Li, Ximing Li and Jihong Ouyang	N/A	N/A
Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation	Giulio Zhou and Gerasimos Lampouras	N/A	N/A
How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models	Phillip Rust, Jonas Pfeiffer, Ivan Vulić, Sebastian Ruder and Iryna Gurevych	N/A	N/A
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems	Bill Byrne, Karthik Krishnamoorthi, Saravanan Ganesh and Mihir Kale	N/A	N/A
Unified Dual-view Cognitive Model for Interpretable Claim Verification	Lianwei Wu, Yuan Rao, Yuqian Lan, Ling Sun and Zhaoyin Qi	N/A	N/A
Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis	Ruifan Li, Hao Chen, Fangxiang Feng, Zhanyu Ma, Xiaojie WANG and Eduard Hovy	N/A	N/A
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble	Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang and Xuanjing Huang	N/A	N/A
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning	Pan Lu, Ran Gong, Shibiao Jiang, Liang Qiu, Siyuan Huang, Xiaodan Liang and Song-Chun Zhu	N/A	N/A
Evaluating Evaluation Measures for Ordinal Classification and Ordinal Quantification	Tetsuya Sakai	N/A	N/A
SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues	Liang Qiu, Yuan Liang, Yizhou Zhao, Pan Lu, Baolin Peng, Zhou Yu, Ying Nian Wu and Song-Chun Zhu	N/A	N/A
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains	Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li and Jun Huang	N/A	N/A
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations	John Giorgi, Osvald Nitski, Bo Wang and Gary Bader	N/A	N/A
A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks	Thai Le, Noseong Park and Dongwon Lee	N/A	N/A
Cross-Lingual Abstractive Summarization with Limited Parallel Resources	Yu Bai, Yang Gao and Heyan Huang	N/A	N/A
Rewriter-Evaluator Architecture for Neural Machine Translation	Yangming Li and Kaisheng Yao	N/A	N/A
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations	Weixin Liang, Kai-Hui Liang and Zhou Yu	N/A	N/A
How is BERT surprised? Layerwise detection of linguistic anomalies	Bai Li, Zining Zhu, Guillaume Thomas, Yang Xu and Frank Rudzicz	N/A	N/A
Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering	Reinald Adrian Pugoy and Hung-Yu Kao	N/A	N/A
Prefix-Tuning: Optimizing Continuous Prompts for Generation	Xiang Lisa Li and Percy Liang	N/A	N/A
Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models	Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer and Daniel Weld	N/A	N/A
KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference	Qianglong Chen, Feng Ji, Xiangji Zeng, Feng-Lin Li, Ji Zhang, Haiqing Chen and Yin Zhang	N/A	N/A
Multi-Label Few-Shot Learning for Aspect Category Detection	Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng and Zhong Su	N/A	N/A
Word Sense Disambiguation: Towards Interactive Context Exploitation from Both Word and Sense Perspectives	Ming Wang and Yinglin Wang	N/A	N/A
Crafting Adversarial Examples for Neural Machine Translation	Xinze Zhang, Junzhe Zhang, Zhenhua Chen and Kun He	N/A	N/A
Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering	Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang and Bing Xiang	N/A	N/A
PhotoChat: A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling	Xiaoxue Zang, Lijuan Liu, Maria Wang, Yang Song, Hao Zhang and Jindong Chen	N/A	N/A
Comprehensive Study: How the Context Information of Different Granularity Affects Dialogue State Tracking?	Puhai Yang, Heyan Huang and Xian-Ling Mao	N/A	N/A
Control Image Captioning Spatially and Temporally	Kun Yan, Lei Ji, Huaishao Luo, Ming Zhou, Nan Duan and Shuai Ma	N/A	N/A
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization	Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao and Weizhu Chen	N/A	N/A
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data	Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin and Tuo Zhao	N/A	N/A
Competence-based Multimodal Curriculum Learning for Medical Report Generation	Fenglin Liu, Shen Ge and Xian Wu	N/A	N/A
Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition	Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang and Weiming Lu	N/A	N/A
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech	Jingxuan Yang, Kerui Xu, Jun Xu, Si Li, Sheng Gao, Jun Guo, Nianwen Xue and Ji-Rong Wen	N/A	N/A
OntoED: Low-resource Event Detection with Ontology Embedding	Shumin Deng, Ningyu Zhang, Luoqiu Li, Chen Hui, Tou Huaixiao, Mosha Chen, Fei Huang and Huajun Chen	N/A	N/A
Conditional Generation of Temporally-ordered Event Sequences	Shih-Ting Lin, Nathanael Chambers and Greg Durrett	N/A	N/A
ProtAugment: Intent Detection Meta-Learning through Unsupervised Diverse Paraphrasing	Thomas Dopierre, Christophe Gravier and Wilfried Logerais	N/A	N/A
Subsequence Based Deep Active Learning for Named Entity Recognition	Puria Radmard, Yassir Fathullah and Aldo Lipani	N/A	N/A
Adversarial Learning for Discourse Rhetorical Structure Parsing	Longyin Zhang, Fang Kong and Guodong Zhou	N/A	N/A
Hierarchical Context-aware Network for Dense Video Event Captioning	Lei Ji, Xianglin Guo, Haoyang Huang and Xilin Chen	N/A	N/A
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition	Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang and Le Song	N/A	N/A
Maria: A Visual Experience Powered Conversational Agent	Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang and Daxin Jiang	N/A	N/A
R2D2: Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling	Xiang Hu, Haitao Mi, Zujie Wen, Yafang Wang, Yi Su, Jing Zheng and Gerard De Melo	N/A	N/A
Discovering Dialog Structure Graph for Coherent Dialog Generation	Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu and Wanxiang Che	N/A	N/A
LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding	Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Wanxiang Che, Min Zhang and Lidong Zhou	N/A	N/A
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification	George Chrysostomou and Nikolaos Aletras	N/A	N/A
Text-Free Image-to-Speech Synthesis Using Learned Segmental Units	Wei-Ning Hsu, David Harwath, Tyler Miller, Christopher Song and James Glass	N/A	N/A
Directed Acyclic Graph Network for Conversational Emotion Recognition	Weizhou Shen, Siyue Wu, Yunyi Yang and Xiaojun Quan	N/A	N/A
Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks	Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen and Weihua Peng	N/A	N/A
BACO: A Background Knowledge- and Content-Based Framework for Citing Sentence Generation	Yubin Ge, Ly Dinh, Xiaofeng Liu, Jinsong Su, Ziyao Lu, Ante Wang and Jana Diesner	N/A	N/A
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker	Runxin Xu, Tianyu Liu, Lei Li and Baobao Chang	N/A	N/A
Psycholinguistic Tripartite Graph Network for Personality Detection	Tao Yang, Feifan Yang, Haolan Ouyang and Xiaojun Quan	N/A	N/A
Mention Flags (MF): Constraining Transformer-based Text Generators	Yufei Wang, Ian Wood, Stephen Wan, Mark Dras and Mark Johnson	N/A	N/A
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting	Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin and Yefeng Zheng	N/A	N/A
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics	Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan and Minlie Huang	N/A	N/A
Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation	Liang Li, Can Ma, Yinliang Yue and Dayong Hu	N/A	N/A
Automated Concatenation of Embeddings for Structured Prediction	Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang and Kewei Tu	N/A	N/A
Improving Factual Consistency of Abstractive Summarization via Question Answering	Feng Nan, Cicero Nogueira Dos Santos, Henghui Zhu, Patrick Ng, Kathleen McKeown, Ramesh Nallapati, Dejiao Zhang, Zhiguo Wang, Andrew O. Arnold and Bing Xiang	N/A	N/A
Explanations for CommonsenseQA: New Dataset and Models	Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, Dinesh Khandelwal, Parag Singla and Dinesh Garg	N/A	N/A
IrEne: Interpretable Energy Prediction for Transformers	Qingqing Cao, Yash Kumar Lal, Harsh Trivedi, Aruna Balasubramanian and Niranjan Balasubramanian	N/A	N/A
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation	Xingyi Yang, Muchao Ye, Quanzeng You and Fenglong Ma	N/A	N/A
Long-Span Summarization via Local Attention and Content Selection	Potsawee Manakul and Mark Gales	N/A	N/A
Claim Matching Beyond English to Scale Global Fact-Checking	Ashkan Kazemi, Kiran Garimella, Devin Gaffney and Scott Hale	N/A	N/A
A Large-Scale Chinese Multimodal NER Dataset with Speech Clues	Dianbo Sui, Zhengkun Tian, Yubo Chen, Kang Liu and Jun Zhao	N/A	N/A
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach	Jie Huang, Kevin Chang, JinJun Xiong and Wen-mei Hwu	N/A	N/A
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction	Yifan Gao, Henghui Zhu, Patrick Ng, Cicero Nogueira Dos Santos, Zhiguo Wang, Feng Nan, Dejiao Zhang, Ramesh Nallapati, Andrew O. Arnold and Bing Xiang	N/A	N/A
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training	Li-Ming Zhan, Haowen Liang, Bo LIU, Lu Fan, Xiao-Ming Wu and Albert Y.S. Lam	N/A	N/A
SemFace: Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation	Shuo Ren, Long Zhou, Shujie Liu, Furu Wei, Ming Zhou and Shuai Ma	N/A	N/A
Consistency Regularization for Cross-Lingual Fine-Tuning	Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song and Furu Wei	N/A	N/A
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval	Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang and Wei Wu	N/A	N/A
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment	Zewen Chi, Li Dong, Bo Zheng, Shaohan Huang, Xian-Ling Mao, Heyan Huang and Furu Wei	N/A	N/A
GhostBERT: Generate More Features with Cheap Operations for BERT	Zhiqi Huang, Lu Hou, Lifeng Shang, Xin Jiang, Xiao Chen and Qun Liu	N/A	N/A
Improving Zero-Shot Translation by Disentangling Positional Information	Danni Liu, Jan Niehues, James Cross, Francisco Guzmán and Xian Li	N/A	N/A
Diversifying Dialog Generation via Adaptive Label Smoothing	Yida Wang, Yinhe Zheng, Yong Jiang and Minlie Huang	N/A	N/A
Supporting Cognitive and Emotional Empathic Writing of Students	Thiemo Wambsganss, Christina Niklaus, Matthias Söllner, Siegfried Handschuh and Jan Marco Leimeister	N/A	N/A
Fast and Accurate Neural Machine Translation with Translation Memory	Qiuxiang He, Guoping Huang, Qu Cui, Li Li and Lemao Liu	N/A	N/A
Syntax-Enhanced Pre-trained Model	Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang and Nan Duan	N/A	N/A
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection	Lingwei Wei, Dou Hu, Wei Zhou, Zhaojuan Yue and Songlin Hu	N/A	N/A
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction	Shulin Liu, Tao Yang, Tianchi Yue, Feng Zhang and Di Wang	N/A	N/A
Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification	Xuepeng Wang, Li Zhao, Bing Liu, Tao Chen, Feng Zhang and Di Wang	N/A	N/A
Joint Verification and Reranking for Open Fact Checking Over Tables	Michael Sejr Schlichtkrull, Vladimir Karpukhin, Barlas Oguz, Mike Lewis, Wen-tau Yih and Sebastian Riedel	N/A	N/A
CoSQA: 20,000+ Web Queries for Code Search and Question Answering	Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou and Nan Duan	N/A	N/A
BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data	Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang and Ting Liu	N/A	N/A
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction	Hanqi Yan, Lin Gui, Gabriele Pergola and Yulan He	N/A	N/A
Evaluation of Thematic Coherence in Microblogs	Iman Munire Bilal, Bo Wang, Maria Liakata, Rob Procter and Adam Tsakalidis	N/A	N/A
Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech	Margherita Fanton, Helena Bonaldi, Serra Sinem Tekiroğlu and Marco Guerini	N/A	N/A
Factorising Meaning and Form for Intent-Preserving Paraphrasing	Tom Hosking and Mirella Lapata	N/A	N/A
EnsLM: Ensemble Language Model for Data Diversity by Semantic Clustering	Zhibin Duan, Hao Zhang, Chaojie Wang, Zhengjue Wang, Bo Chen and Mingyuan Zhou	N/A	N/A
LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification	Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng and Yuguang Chen	N/A	N/A
Coreference Reasoning in Machine Reading Comprehension	Mingzhu Wu, Nafise Sadat Moosavi, Dan Roth and Iryna Gurevych	N/A	N/A
Evidence-based Factual Error Correction	James Thorne and Andreas Vlachos	N/A	N/A
StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling	Yikang Shen, Yi Tay, Che Zheng, Dara Bahri, Donald Metzler and Aaron Courville	N/A	N/A
Convolutions and Self-Attention: Re-interpreting Relative Positions in Pre-trained Language Models	Tyler Chang, Yifan Xu, Weijian Xu and Zhuowen Tu	N/A	N/A
Learning Faithful Representations of Causal Graphs	Ananth Balashankar and Lakshminarayanan Subramanian	N/A	N/A
The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing	Ji Xin, Raphael Tang, Yaoliang Yu and Jimmy Lin	N/A	N/A
Ruddit: Norms of Offensiveness for English Reddit Comments	Rishav Hada, Sohi Sudhir, Pushkar Mishra, Helen Yannakoudakis, Saif M. Mohammad and Ekaterina Shutova	N/A	N/A
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data	Paul Pu Liang, Terrance Liu, Anna Cai, Michal Muszynski, Ryo Ishii, Nick Allen, Randy Auerbach, David Brent, Ruslan Salakhutdinov and Louis-Philippe Morency	N/A	N/A
Prosodic segmentation for parsing spoken dialogue	Elizabeth Nielsen, Mark Steedman and Sharon Goldwater	N/A	N/A
End-to-End Training of Neural Retrievers for Open-Domain Question Answering	Devendra Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton and Bryan Catanzaro	N/A	N/A
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems	Claudio Pinhanez, Paulo Cavalin, Victor Henrique Alves Ribeiro, Ana Appel, Heloisa Candello, Julio Nogima, Mauro Pichiliani, Melina Guerra, Maira De Bayser, Gabriel Malfatti and Henrique Ferreira	N/A	N/A
TextSETTR: Few-Shot Text Style Extraction and Tunable Targeted Restyling	Parker Riley, Noah Constant, Mandy Guo, Girish Kumar, David Uthus and Zarana Parekh	N/A	N/A
I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling	Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela and Jason Weston	N/A	N/A
Implicit Representations of Meaning in Neural Language Models	Belinda Z. Li, Maxwell Nye and Jacob Andreas	N/A	N/A
Personalized Transformer for Explainable Recommendation	Lei Li, Yongfeng Zhang and Li Chen	N/A	N/A
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor	Xinyu Wang, Yong Jiang, Zhaohui Yan, Zixia Jia, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang and Kewei Tu	N/A	N/A
UnNatural Language Inference	Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau and Adina Williams	N/A	N/A
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning	Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun and Jie Zhou	N/A	N/A
RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy	Xiyan Fu, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Changlong Sun and Zhenglu Yang	N/A	N/A
A Conditional Splitting Framework for Efficient Constituency Parsing	Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq Joty and Xiaoli Li	N/A	N/A
Reliability Testing for Natural Language Processing Systems	Samson Tan, Shafiq Joty, Kathy Baxter, Araz Taeihagh, Gregory A. Bennett and Min-Yen Kan	N/A	N/A
Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation	Hongfei Xu, Qiuhui Liu, Josef Van Genabith, Deyi Xiong and Meng Zhang	N/A	N/A
N-ary Constituent Tree Parsing with Recursive Semi-Markov Model	Xin Xin, Jinlong Li and Zeqi Tan	N/A	N/A
Math Word Problem Solving with Explicit Numerical Values	Qinzhuo Wu, Qi Zhang, Zhongyu Wei and Xuanjing Huang	N/A	N/A
Improving Formality Style Transfer with Context-Aware Rule Injection	Zonghai Yao and Hong Yu	N/A	N/A
CDRNN: Discovering Complex Dynamics in Human Language Processing	Cory Shain	N/A	N/A
DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling	Lanqing Xue, Kaitao Song, Duocai Wu, Xu Tan, Nevin L. Zhang, Tao Qin, Wei-Qiang Zhang and Tie-Yan Liu	N/A	N/A
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction	Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu and Yueting Zhuang	N/A	N/A
COSY: COunterfactual SYntax for Cross-Lingual Understanding	SICHENG YU, Hao Zhang, Yulei Niu, Qianru Sun and Jing Jiang	N/A	N/A
A Knowledge-Guided Framework for Frame Identification	Xuefeng Su, Ru Li, Xiaoli Li, Jeff Z. Pan, Hu Zhang, Qinghua Chai and Xiaoqi Han	N/A	N/A
A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment	Jingyi Zhang and Josef Van Genabith	N/A	N/A
Beyond Offline Mapping: Learning Cross-lingual Word Embeddings through Context Anchoring	Aitor Ormazabal, Mikel Artetxe, Aitor Soroa, Gorka Labaka and Eneko Agirre	N/A	N/A
Few-Shot Question Answering by Pretraining Span Selection	Ori Ram, Yuval Kirstain, Jonathan Berant, Amir Globerson and Omer Levy	N/A	N/A
Few-NERD: A Few-shot Named Entity Recognition Dataset	Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng and Zhiyuan Liu	N/A	N/A
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation	Bo Zhang, Xiaoming Zhang, Yun Liu, Lei Cheng and Zhoujun Li	N/A	N/A
Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset	Alexandra Ils, Dan Liu, Daniela Grunow and Steffen Eger	N/A	N/A
SENT: Sentence-level Distant Relation Extraction via Negative Training	Ruotian Ma, Tao Gui, Linyang Li, Qi Zhang, Xuanjing Huang and Yaqian Zhou	N/A	N/A
BinaryBERT: Pushing the Limit of BERT Quantization	Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin JIN, Xin Jiang, Qun Liu, Michael Lyu and Irwin King	N/A	N/A
Modularized Interaction Network for Named Entity Recognition	Fei Li, Zheng Wang, Siu Cheung Hui, Lejian Liao, Dandan Song, Jing Xu, Guoxiu He and Meihuizi Jia	N/A	N/A
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision	Si Sun, Yingzhuo Qian, Zhenghao Liu, Chenyan Xiong, Kaitao Zhang, Jie Bao, Zhiyuan Liu and Paul Bennett	N/A	N/A
Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training	Linqing Chen, Junhui Li, Zhengxian Gong, Boxing Chen, Weihua Luo, Min Zhang and Guodong Zhou	N/A	N/A
MultiMET: A Multimodal Dataset for Metaphor Understanding	Dongyu Zhang, Minghao Zhang, Heting Zhang, Liang Yang and Hongfei LIN	N/A	N/A
OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification	Seonghyeon Lee, Dongha Lee and Hwanjo Yu	N/A	N/A
Breaking Down the Invisible Wall of Informal Fallacies in Online Discussions	Saumya Sahai, Oana Balalau and Roxana Horincar	N/A	N/A
Towards Quantifiable Dialogue Coherence Evaluation	Zheng Ye, Liucun Lu, Lishan Huang, Liang Lin and Xiaodan Liang	N/A	N/A
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks	Weicheng Ma, Kai Zhang, Renze Lou, Lili Wang and Soroush Vosoughi	N/A	N/A
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?	Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia and Jordan Boyd-Graber	N/A	N/A
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder	Xi Xiangyu, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang and Wei Wu	N/A	N/A
Parameter-Efficient Transfer Learning with Diff Pruning	Demi Guo, Alexander Rush and Yoon Kim	N/A	N/A
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network	Justin Lovelace, Denis Newman-Griffis, Shikhar Vashishth, Jill Fain Lehman and Carolyn Rosé	N/A	N/A
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues	Yangjun Zhang, Pengjie Ren and Maarten De Rijke	N/A	N/A
ADEPT: An Adjective-Dependent Plausibility Task	Ali Emami, Ian Porada, Alexandra Olteanu, Kaheer Suleman, Adam Trischler and Jackie Chi Kit Cheung	N/A	N/A
Database reasoning over text	James Thorne, Majid Yazdani, Marzieh Saeidi, Fabrizio Silvestri, Sebastian Riedel and Alon Halevy	N/A	N/A
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem	Raphael Schumann and Stefan Riezler	N/A	N/A
A Sequence-to-Sequence Approach to Dialogue State Tracking	Yue Feng, Yang Wang and Hang Li	N/A	N/A
Verb Knowledge Injection for Multilingual Event Processing	Olga Majewska, Ivan Vulić, Goran Glavaš, Edoardo Maria Ponti and Anna Korhonen	N/A	N/A
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders	Bin Sun, Shaoxiong Feng, Yiwei Li, Jiamou Liu and Kan Li	N/A	N/A
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition	Fei Li, ZhiChao Lin, Meishan Zhang and Donghong Ji	N/A	N/A
Neural Stylistic Response Generation with Disentangled Latent Variables	Qingfu Zhu, Wei-Nan Zhang, Ting Liu and William Yang Wang	N/A	N/A
A Cognitive Regularizer for Language Modeling	Jason Wei, Clara Meister and Ryan Cotterell	N/A	N/A
Shortformer: Better Language Modeling using Shorter Inputs	Ofir Press, Noah A. Smith and Mike Lewis	N/A	N/A
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization	Baohang Zhou, Xiangrui Cai, Ying Zhang and Xiaojie Yuan	N/A	N/A
Making Pre-trained Language Models Better Few-shot Learners	Tianyu Gao, Adam Fisch and Danqi Chen	N/A	N/A
Counterfactual Inference for Text Classification Debiasing	Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma and Pengjun Xie	N/A	N/A
Intent Classification and Slot Filling for Privacy Policies	Wasi Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian and Kai-Wei Chang	N/A	N/A
One2Set: Generating Diverse Keyphrases as a Set	Jiacheng Ye, Tao Gui, Yichao Luo, Yige Xu and Qi Zhang	N/A	N/A
Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking	Jinyu Guo, Kai Shuang, Jijie Li and Zihan Wang	N/A	N/A
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval	Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen and Yefeng Zheng	N/A	N/A
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization	Dongkyu Lee, Zhiliang Tian, Lanqing Xue and Nevin L. Zhang	N/A	N/A
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information	Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu and Jiwei Li	N/A	N/A
MLBiNet: A Cross-Sentence Collective Event Detection Network	Dongfang Lou, Zhilin Liao, Shumin Deng, Ningyu Zhang and Huajun Chen	N/A	N/A
Self-Attention Networks Can Process Bounded Hierarchical Languages	Shunyu Yao, Binghui Peng, Christos Papadimitriou and Karthik Narasimhan	N/A	N/A
Data Augmentation for Text Generation Without Any Augmented Data	Wei Bi, Huayang Li and Jiacheng Huang	N/A	N/A
Are Pretrained Convolutions Better than Pretrained Transformers?	Yi Tay, Mostafa Dehghani, Jai Prakash Gupta, Vamsi Aribandi, Dara Bahri, Zhen Qin and Donald Metzler	N/A	N/A
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction	Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Xu Ming and Yefeng Zheng	N/A	N/A
ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation	Vijit Malik, Rishabh Sanjay, Shubham Kumar Nigam, Kripabandhu Ghosh, Shouvik Kumar Guha, Arnab Bhattacharya and Ashutosh Modi	N/A	N/A
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning	Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao and Xiang Ren	N/A	N/A
Lightweight Cross-Lingual Sentence Representation Learning	Zhuoyuan Mao, Prakhar Gupta, Chenhui Chu, Martin Jaggi and Sadao Kurohashi	N/A	N/A
HateCheck: Functional Tests for Hate Speech Detection Models	Paul Röttger, Bertie Vidgen, Dong Nguyen, Zeerak Waseem, Helen Margetts and Janet Pierrehumbert	N/A	N/A
Robustifying Multi-hop QA through Pseudo-Evidentiality Training	Kyungjae Lee, Seung-won Hwang, Sang-eun Han and Dohyeon Lee	N/A	N/A
ERNIE-Doc: A Retrospective Long-Document Modeling Transformer	SiYu Ding, Junyuan Shang, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu and Haifeng Wang	N/A	N/A
LeeBERT: Learned Early Exit for BERT with cross-level optimization	Wei Zhu	N/A	N/A
Probing Toxic Content in Large Pre-Trained Language Models	Nedjma Ousidhoum, Xinran Zhao, Tianqing Fang, Yangqiu Song and Dit-Yan Yeung	N/A	N/A
Align Voting Behavior with Public Statements for Legislator Representation Learning	Xinyi Mou, Zhongyu Wei, Lei Chen, Shangyi Ning, Yancheng He, Changjian Jiang and Xuanjing Huang	N/A	N/A
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks	Jinghui Qin, Xiaodan Liang, Yining Hong, Jianheng Tang and Liang Lin	N/A	N/A
BanditMTL: Bandit-based Multi-task Learning for Text Classification	Yuren Mao, Zekai Wang, Weiwei Liu, Xuemin Lin and Wenbin Hu	N/A	N/A
Verb Metaphor Detection via Contextual Relation Learning	Wei Song, Shuhui Zhou, Ruiji Fu, Ting Liu and Lizhen Liu	N/A	N/A
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning	Xinyu Wang, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang and Kewei Tu	N/A	N/A
On Finding the K-best Non-projective Dependency Trees	Ran Zmigrod, Tim Vieira and Ryan Cotterell	N/A	N/A
Towards Robustness of Text-to-SQL Models against Synonym Substitution	Yujian Gan, Xinyun Chen, Qiuping Huang, Matthew Purver, John R. Woodward, Jinxia Xie and Pengsheng Huang	N/A	N/A
Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation	Tong Zhang, Long Zhang, Wei Ye, Bo Li, Jinan Sun, Xiaoyu Zhu, Wen Zhao and Shikun Zhang	N/A	N/A
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer	Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu and Weiran Xu	N/A	N/A
Structurizing Misinformation Stories via Rationalizing Fact-Checks	Shan Jiang and Christo Wilson	N/A	N/A
PairRE: Knowledge Graph Embeddings via Paired Relation Vectors	Linlin Chao, Jianshan He, Taifeng Wang and Wei Chu	N/A	N/A
Positional Artefacts Propagate Through Masked Language Model Embeddings	Ziyang Luo, Artur Kulmizev and Xiaoxi Mao	N/A	N/A
Exploring the Representation of Word Meanings in Context: A Case Study on Homonymy and Synonymy	Marcos Garcia	N/A	N/A
Leveraging Type Descriptions for Zero-shot Named Entity Recognition and Classification	Rami Aly, Andreas Vlachos and Ryan McDonald	N/A	N/A
Learning from Perturbations: Diverse and Informative Dialogue Generation with Inverse Adversarial Training	Wangchunshu Zhou, Qifei LI and Chenle Li	N/A	N/A
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation	Hui Jiang, Chulun Zhou, Fandong Meng, Biao Zhang, Jie Zhou, Degen Huang, Qingqiang Wu and Jinsong Su	N/A	N/A
Learning Dense Representations of Phrases at Scale	Jinhyuk Lee, Mujeen Sung, Jaewoo Kang and Danqi Chen	N/A	N/A
Modeling Bilingual Conversational Characteristics for Neural Chat Translation	Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu and Jie Zhou	N/A	N/A
Revisiting the Negative Data of Distantly Supervised Relation Extraction	Chenhao Xie, Jiaqing Liang, Jingping Liu, Chengsong Huang, Wenhao Huang and Yanghua Xiao	N/A	N/A
Rational LAMOL: A Rationale-based Lifelong Learning Framework	Kasidis Kanwatchara, Thanapapas Horsuwan, Piyawat Lertvittayakumjorn, Boonserm Kijsirikul and Peerapon Vateekul	N/A	N/A
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition	Meihan Tong, Shuai Wang, Bin Xu, Yixin Cao, Minghui Liu, Lei Hou and Juanzi Li	N/A	N/A
Knowing the No-match: Entity Alignment with Dangling Cases	Zequn Sun, Muhao Chen and Wei Hu	N/A	N/A
Including Signed Languages in Natural Language Processing	Kayo Yin, Amit Moryossef, Julie Hochgesang, Yoav Goldberg and Malihe Alikhani	N/A	N/A
Label-Specific Dual Graph Neural Network for Multi-Label Text Classification	Qianwen Ma, Chunyuan Yuan, Wei Zhou and Songlin Hu	N/A	N/A
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference	Tuan Lai, Heng Ji, ChengXiang Zhai and Quan Hung Tran	N/A	N/A
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding	Hidetaka Kamigaito and Katsuhiko Hayashi	N/A	N/A
Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding	Liying Cheng, Tianyu Wu, Lidong Bing and Luo Si	N/A	N/A
Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach	Lu Cheng, Ahmadreza Mosallanezhad, Yasin Silva, Deborah Hall and Huan Liu	N/A	N/A
Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System	Yanan Wu, Zhiyuan Zeng, Keqing He, Hong Xu, Yuanmeng Yan, Huixing Jiang and Weiran Xu	N/A	N/A
Generation-Augmented Retrieval for Open-Domain Question Answering	Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han and Weizhu Chen	N/A	N/A
A Systematic Investigation of KB-Text Embedding Alignment at Scale	Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen and Yu Su	N/A	N/A
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge	Linmei Hu, Tianchi Yang, Luhao Zhang, Wanjun Zhong, Duyu Tang, Chuan Shi, Nan Duan and Ming Zhou	N/A	N/A
Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path	Yiran Wang, Hiroyuki Shindo, Yuji Matsumoto and Taro Watanabe	N/A	N/A
COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion	Debjit Paul and Anette Frank	N/A	N/A
Bridge-Based Active Domain Adaptation for Aspect Term Extraction	Zhuang Chen and Tieyun Qian	N/A	N/A
The Limitations of Limited Context for Constituency Parsing	Yuchen Li and Andrej Risteski	N/A	N/A
Dynamic Contextualized Word Embeddings	Valentin Hofmann, Janet Pierrehumbert and Hinrich Schütze	N/A	N/A
Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words	Valentin Hofmann, Janet Pierrehumbert and Hinrich Schütze	N/A	N/A
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems	Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li and Jianfeng Gao	N/A	N/A
How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction	Zikun Hu, Yixin Cao, Lifu Huang and Tat-Seng Chua	N/A	N/A
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection	Yi Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen McKeown, Mohit Bansal and Avi Sil	N/A	N/A
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach	Yifan Hou and Mrinmaya Sachan	N/A	N/A
A DQN-based Approach to Finding Precise Evidences for Fact Verification	Hai Wan, Haicheng Chen, Jianfeng Du, Weilin Luo and Rongzhen Ye	N/A	N/A
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection	Lixing Zhu, Gabriele Pergola, Lin Gui, Deyu Zhou and Yulan He	N/A	N/A
RAW-C: Relatedness of Ambiguous Words in Context (A New Lexical Resource for English)	Sean Trott and Benjamin Bergen	N/A	N/A
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning	Armen Aghajanyan, Sonal Gupta and Luke Zettlemoyer	N/A	N/A
Optimizing Deeper Transformers on Small Datasets	Peng Xu, Dhruv Kumar, Wei Yang, Wenjie Zi, Keyi Tang, Chenyang Huang, Jackie Chi Kit Cheung, Simon J.D. Prince and Yanshuai Cao	N/A	N/A
Unsupervised Out-of-Domain Detection via Pre-trained Transformers	Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng and Caiming Xiong	N/A	N/A
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance	Zhongkun Liu, Pengjie Ren, Zhumin CHEN, Zhaochun Ren, Maarten De Rijke and Ming Zhou	N/A	N/A
Multi-stage Pre-training over Simplified Multimodal Pre-training Models	Tongtong Liu, Fangxiang Feng and Xiaojie WANG	N/A	N/A
When Do You Need Billions of Words of Pretraining Data?	Yian Zhang, Alex Warstadt, Xiaocheng Li and Samuel R. Bowman	N/A	N/A
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment	Haoyue Shi, Luke Zettlemoyer and Sida I. Wang	N/A	N/A
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering	Nan Yang, Furu Wei, Binxing Jiao, Daxing Jiang and Linjun Yang	N/A	N/A
Importance-based Neuron Allocation for Multilingual Neural Machine Translation	Wanying Xie, Yang Feng, Shuhao Gu and Dong Yu	N/A	N/A
DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue	Hung Le, Chinnadhurai Sankar, Seungwhan Moon, Ahmad Beirami, Alborz Geramifard and Satwik Kottur	N/A	N/A
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network	Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej Cichocki, Qibin Zhao and Wanzeng Kong	N/A	N/A
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases	Boxi Cao, Hongyu Lin, Xianpei Han, Le Sun, Lingyong Yan, Meng Liao, Tong Xue and Jin Xu	N/A	N/A
End-to-End AMR Corefencence Resolution	Qiankun Fu, Linfeng Song, Wenyu Du and Yue Zhang	N/A	N/A
Neural Machine Translation with Monolingual Translation Memory	Deng Cai, Yan Wang, Huayang Li, Wai Lam and Lemao Liu	N/A	N/A
Can Sequence-to-Sequence Models Crack Substitution Ciphers?	Nada Aldarrab and Jonathan May	N/A	N/A
From Discourse to Narrative: Knowledge Projection for Event Relation Extraction	Jialong Tang, Hongyu Lin, Meng Liao, Yaojie Lu, Xianpei Han, Le Sun, Weijian Xie and Jin Xu	N/A	N/A
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets	Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, Zhangyang Wang and Jingjing Liu	N/A	N/A
VoxPopuli: A Large-Scale Multilingual Speech Corpus for Representation Learning, Semi-Supervised Learning and Interpretation	Changhan Wang, Morgane Riviere, Ann Lee, Anne Wu, Chaitanya Talnikar, Daniel Haziza, Mary Williamson, Juan Pino and Emmanuel Dupoux	N/A	N/A
Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation	Zixuan Zhang, Nikolaus Parulian, Heng Ji, Ahmed Elsayed, Skatje Myers and Martha Palmer	N/A	N/A
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining	Taolin Zhang, Zerui Cai, Chengyu Wang, Minghui Qiu, Bite Yang and XIAOFENG HE	N/A	N/A
Structural Guidance for Transformer Language Models	Peng Qian, Tahira Naseem, Roger Levy and Ramón Fernandez Astudillo	N/A	N/A
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic	Arkadiy Saakyan, Tuhin Chakrabarty and Smaranda Muresan	N/A	N/A
Robustness Testing of Language Understanding in Task-Oriented Dialog	Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Hongguang Li, Weiran Nie, Cheng LI, Wei Peng and Minlie Huang	N/A	N/A
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance	Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng and Tat-Seng Chua	N/A	N/A
Societal Biases in Language Generation: Progress and Challenges	Emily Sheng, Kai-Wei Chang, Prem Natarajan and Nanyun Peng	N/A	N/A
Weight Distillation: Transferring the Knowledge in Neural Network Parameters	Ye Lin, Yanyang Li, Ziyang Wang, Bei Li, Quan Du, Tong Xiao and Jingbo Zhu	N/A	N/A
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning	Wei Li, Can Gao, Guocheng Niu, Xinyan Xiao, Hao Liu, Jiachen Liu, Hua Wu and Haifeng Wang	N/A	N/A
What is Your Article Based On? Inferring Fine-grained Provenance	Yi Zhang, Zachary Ives and Dan Roth	N/A	N/A
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition	Shuang Wu, Xiaoning Song and Zhenhua Feng	N/A	N/A
VisualSparta: An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words	Xiaopeng Lu, Tiancheng Zhao and Kyusong Lee	N/A	N/A
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion	Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen and Hanwang Zhang	N/A	N/A
Unleash GPT-2 Power for Event Detection	Amir Pouran Ben Veyseh, Viet Lai, Franck Dernoncourt and Thien Huu Nguyen	N/A	N/A
G-Transformer for Document-Level Machine Translation	Guangsheng Bao, Yue Zhang, Zhiyang Teng, Boxing Chen and Weihua Luo	N/A	N/A
Prevent the Language Model from being Overconfident in Neural Machine Translation	Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou and Jie Zhou	N/A	N/A
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders	Chen Xu, Bojie Hu, Yanyang Li, Yuhao Zhang, Shen Huang, Qi Ju, Tong Xiao and Jingbo Zhu	N/A	N/A
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models	Sumanta Bhattacharyya, Amirmohammad Rooshenas, Subhajit Naskar, Simeng Sun, Mohit Iyyer and Andrew McCallum	N/A	N/A
PENS: A Dataset and Generic Framework for Personalized News Headline Generation	Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He and Xing Xie	N/A	N/A
Cross-modal Memory Networks for Radiology Report Generation	Zhihong Chen, Yaling Shen, Yan Song and Xiang Wan	N/A	N/A
On Compositional Generalization of Neural Machine Translation	Yafu Li, Yongjing Yin, Yulong Chen and Yue Zhang	N/A	N/A
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations	Pierre Colombo, Pablo Piantanida and Chloé Clavel	N/A	N/A
Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks	Xiaocui Yang, Shi Feng, Yifei Zhang and Daling Wang	N/A	N/A
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding	Jia-Chen Gu, Chongyang Tao, Zhenhua Ling, Can Xu, Xiubo Geng and Daxin Jiang	N/A	N/A
Mask-Align: Self-Supervised Neural Word Alignment	Chi Chen, Maosong Sun and Yang Liu	N/A	N/A
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding	Hao Huang, Xiubo Geng, Jian Pei, Guodong Long and Daxin Jiang	N/A	N/A
From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding	Shan Wu, Bo Chen, Chunlei Xin, Xianpei Han, Le Sun, Weipeng Zhang, Jiansong Chen, Fan Yang and Xunliang Cai	N/A	N/A
GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation	Huayang Li, Lemao Liu, Guoping Huang and Shuming Shi	N/A	N/A
CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals	Yuqi Ren and Deyi Xiong	N/A	N/A
Distributed Representations of Emotion Categories in Emotion Space	Xiangyu Wang and Chengqing Zong	N/A	N/A
Transfer Learning for Sequence Generation: from Single-source to Multi-source	Xuancheng Huang, Jingfang Xu, Maosong Sun and Yang Liu	N/A	N/A
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation	Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie and Yongfeng Huang	N/A	N/A
Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction	Kaiwen Wei, Xian Sun, Zequn Zhang, Jingyuan Zhang, Guo Zhi and Li Jin	N/A	N/A
Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children’s mindreading ability	Venelin Kovatchev, Phillip Smith, Mark Lee and Rory Devine	N/A	N/A
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning	Shuoran Jiang, Qingcai Chen, Xin Liu, Baotian Hu and Lisai Zhang	N/A	N/A
Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances	Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng and Jie Zhou	N/A	N/A
Determinantal Beam Search	Clara Meister, Martina Forster and Ryan Cotterell	N/A	N/A
Language Model Evaluation Beyond Perplexity	Clara Meister and Ryan Cotterell	N/A	N/A
Self-Guided Contrastive Learning for BERT Sentence Representations	Taeuk Kim, Kang Min Yoo and Sang-goo Lee	N/A	N/A
A Dataset and Baselines for Multilingual Reply Suggestion	Mozhi Zhang, Wei Wang, Budhaditya Deb, Guoqing Zheng, Milad Shokouhi and Ahmed Hassan Awadallah	N/A	N/A
Element Intervention for Open Relation Extraction	Fangchao Liu, Lingyong Yan, Hongyu Lin, Xianpei Han and Le Sun	N/A	N/A
BERTGen: Multi-task Generation through BERT	Faidon Mitzalis, Ozan Caglayan, Pranava Madhyastha and Lucia Specia	N/A	N/A
Semantic Representation for Dialogue Modeling	Xuefeng Bai, Yulong Chen, Linfeng Song and Yue Zhang	N/A	N/A
Selective Knowledge Distillation for Neural Machine Translation	Fusheng Wang, Jianhao Yan, Fandong Meng and Jie Zhou	N/A	N/A
Lexical Semantic Change Discovery	Sinan Kurtyigit, Maike Park, Dominik Schlechtweg, Jonas Kuhn and Sabine Schulte Im Walde	N/A	N/A
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction	Yaojie Lu, Hongyu Lin, Jin Xu, Xianpei Han, Jialong Tang, Annan Li, Le Sun, Meng Liao and Shaoyi Chen	N/A	N/A
Mid-Air Hand Gestures for Post-Editing of Machine Translation	Rashad Albo Jamara, Nico Herbig, Antonio Krüger and Josef Van Genabith	N/A	N/A
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation	Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li and Ben Kao	N/A	N/A
Pre-training Universal Language Representation	Yian Li and Hai Zhao	N/A	N/A
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation	Wenqing Chen, Jidong Tian, Yitian Li, Hao He and Yaohui Jin	N/A	N/A
Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection	Bertie Vidgen, Tristan Thrush, Zeerak Waseem and Douwe Kiela	N/A	N/A
Towards User-Driven Neural Machine Translation	Huan Lin, Liang Yao, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Degen Huang and Jinsong Su	N/A	N/A
Explaining Relationships Between Scientific Documents	Kelvin Luu, Xinyi Wu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola and Noah A. Smith	N/A	N/A
XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation	Dongqin Xu, Junhui Li, Muhua Zhu, Min Zhang and Guodong Zhou	N/A	N/A
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference	Ziye Chen, Cheng Ding, Zusheng Zhang, Yanghui Rao and Haoran Xie	N/A	N/A
CLEVE: Contrastive Pre-training for Event Extraction	Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li and Jie Zhou	N/A	N/A
TWAG: A Topic-Guided Wikipedia Abstract Generator	Fangwei Zhu, Shangqing Tu, Jiaxin Shi, Juanzi Li, Lei Hou and Tong Cui	N/A	N/A
Towards Emotional Support Dialog Systems	Siyang Liu, Chujie Zheng, Orianna Demasi, Sahand Sabour, Yu Li, Zhou Yu, Yong Jiang and Minlie Huang	N/A	N/A
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation	Xiao Pan, Mingxuan Wang, Liwei Wu and Lei Li	N/A	N/A
A Semantic-based Method for Unsupervised Commonsense Question Answering	Yilin Niu, Fei Huang, Jiaming Liang, Wenkai Chen, Xiaoyan Zhu and Minlie Huang	N/A	N/A
Rethinking Stealthiness of Backdoor Attack against NLP Models	Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou and Xu Sun	N/A	N/A
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections	Dimitris Pappas and Ion Androutsopoulos	N/A	N/A
Cascaded Head-colliding Attention	Lin Zheng, Zhiyong Wu and Lingpeng Kong	N/A	N/A
DialogueCRN: Contextual Reasoning Networks for Emotion Recognition in Conversations	Dou Hu, Lingwei Wei and Xiaoyong Huai	N/A	N/A
Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval	Akari Asai and Eunsol Choi	N/A	N/A
An In-depth Study on Internal Structure of Chinese Words	Chen Gong, Saihao Huang, Houquan Zhou, Zhenghua Li, Min Zhang, Zhefeng Wang, Baoxing Huai and Nicholas Jing Yuan	N/A	N/A
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation	Mathias Müller and Rico Sennrich	N/A	N/A
Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization	Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin and Ting Liu	N/A	N/A
Span-based Semantic Parsing for Compositional Generalization	Jonathan Herzig and Jonathan Berant	N/A	N/A
BASS: Boosting Abstractive Summarization with Unified Semantic Graph	Wenhao Wu, Wei Li, Xinyan Xiao, Jiachen Liu, Ziqiang Cao, Sujian Li, Hua Wu and Haifeng Wang	N/A	N/A
Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities	Jinming Zhao, Ruichen Li and Qin Jin	N/A	N/A
Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection	Kamil Kanclerz, Alicja Figas, Marcin Gruza, Tomasz Kajdanowicz, Jan Kocon, Daria Puchalska and Przemyslaw Kazienko	N/A	N/A
A Neural Transition-based Model for Argumentation Mining	Jianzhu Bao, Chuang Fan, Jipeng Wu, Yixue Dang, Jiachen Du and Ruifeng Xu	N/A	N/A
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER	Linlin Liu, BOSHENG DING, Lidong Bing, Shafiq Joty, Luo Si and Chunyan Miao	N/A	N/A
Discovering Dialogue Slots with Weak Supervision	Vojtěch Hudeček, Ondřej Dušek and Zhou Yu	N/A	N/A
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation	Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael Lyu and Irwin King	N/A	N/A
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks	Rabeeh Karimi Mahabadi, Sebastian Ruder, Mostafa Dehghani and James Henderson	N/A	N/A
Capturing Relations between Scientific Papers: An Abstractive Model for Related Work Section Generation	Xiuying Chen, Hind Alamro, Mingzhe Li, Shen Gao, Xiangliang Zhang, Dongyan Zhao and Rui Yan	N/A	N/A
Attention Calibration for Transformer in Neural Machine Translation	Yu Lu, Jiali Zeng, Jiajun Zhang, Shuangzhi Wu and Mu Li	N/A	N/A
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation	Elena Voita, Rico Sennrich and Ivan Titov	N/A	N/A
Accelerating BERT Inference for Sequence Labeling via Early-Exit	Xiaonan Li, Yunfan Shao, Tianxiang Sun, Hang Yan, Xipeng Qiu and Xuanjing Huang	N/A	N/A
Focus Attention: Promoting Faithfulness and Diversity in Summarization	Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe and Ryan McDonald	N/A	N/A
De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention	Wenkai Zhang, Hongyu Lin, Xianpei Han and Le Sun	N/A	N/A
Beyond Sentence-Level End-to-End Speech Translation: Context Helps	Biao Zhang, Ivan Titov, Barry Haddow and Rico Sennrich	N/A	N/A
Every Bite Is an Experience: Key Point Analysis of Business Reviews	Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman and Noam Slonim	N/A	N/A
POS-Constrained Parallel Decoding for Non-autoregressive Generation	Kexin Yang, Wenqiang Lei, Dayiheng Liu, Weizhen Qi and Jiancheng Lv	N/A	N/A
Structural Pre-training for Dialogue Comprehension	Zhuosheng Zhang and Hai Zhao	N/A	N/A
Learning Language Specific Sub-network for Multilingual Machine Translation	Zehui Lin, Liwei Wu, Mingxuan Wang and Lei Li	N/A	N/A
AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models	Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen and Qun Liu	N/A	N/A
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity	Tao Qi, Fangzhao Wu, Chuhan Wu and Yongfeng Huang	N/A	N/A
Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model	Hongliang Dai, Yangqiu Song and Haixun Wang	N/A	N/A
Investigating label suggestions for opinion mining in German Covid-19 social media	Tilman Beck, Ji-Ung Lee, Christina Viehmann, Marcus Maurer, Oliver Quiring and Iryna Gurevych	N/A	N/A
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation	Xin Liu, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Min Zhang, Haiying Zhang and Jinsong Su	N/A	N/A
How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements	Chen Shani, Nadav Borenstein and Dafna Shahaf	N/A	N/A
Deep Differential Amplifier for Extractive Summarization	Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu and Shi Wang	N/A	N/A
AggGen: Ordering and Aggregating while Generating	Xinnuo Xu, Ondřej Dušek, Verena Rieser and Ioannis Konstas	N/A	N/A
Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter	Wei Liu, Xiyan Fu, Yue Zhang and Wenming Xiao	N/A	N/A
Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews	Junhao Liu, Zhen Hai, Min Yang and Lidong Bing	N/A	N/A
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation	Xinnuo Xu, Guoyin Wang, Young-Bum Kim and Sungjin Lee	N/A	N/A
Metaphor Generation with Conceptual Mappings	Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan and Iryna Gurevych	N/A	N/A
Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering	Ahjeong Seo, Gi-Cheon Kang, Joonhan Park and Byoung-Tak Zhang	N/A	N/A
Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment	Xinying Qiu, Yuan Chen, Hanwu Chen, Jian-Yun Nie, Yuming Shen and Dawei Lu	N/A	N/A
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution	Fanchao Qi, Yuan Yao, Sophia Xu, Zhiyuan Liu and Maosong Sun	N/A	N/A
NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation	Sungdong Kim, Minsuk Chang and Sang-Woo Lee	N/A	N/A
A Unified Generative Framework for Aspect-based Sentiment Analysis	Hang Yan, Junqi Dai, Tuo Ji, Xipeng Qiu and Zheng Zhang	N/A	N/A
Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification	Haibin Chen, Qianli Ma, Zhenxi Lin and Jiangyue Yan	N/A	N/A
UXLA: A Robust Unsupervised Data Augmentation Framework for Cross-Lingual NLP	M Saiful Bari, Tasnim Mohiuddin and Shafiq Joty	N/A	N/A
Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer	Fabian Galetzka, Jewgeni Rose, David Schlangen and Jens Lehmann	N/A	N/A
Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models	Sandipan Sikdar, Parantapa Bhattacharya and Kieran Heese	N/A	N/A
Engage the Public: Poll Question Generation for Social Media Posts	Zexin Lu, Keyang Ding, Yuji Zhang, Jing Li, Baolin Peng and Lemao Liu	N/A	N/A
Generating Query Focused Summaries from Query-Free Resources	Yumo Xu and Mirella Lapata	N/A	N/A
Hate Speech Detection Based on Sentiment Knowledge Sharing	Xianbing Zhou, Yang Yong, Xiaochao Fan, Ge Ren, Yunfeng Song, Yufeng Diao, Liang Yang and Hongfei LIN	N/A	N/A
UniRE: A Unified Label Space for Entity Relation Extraction	Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li and Junchi Yan	N/A	N/A
Question Answering Over Temporal Knowledge Graphs	Apoorv Saxena, Soumen Chakrabarti and Partha Talukdar	N/A	N/A
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation	Jingwen Hu, Yuchen Liu, Jinming Zhao and Qin Jin	N/A	N/A
Introducing Orthogonal Constraint in Structural Probes	Tomasz Limisiewicz and David Mareček	N/A	N/A
PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context	Xinyun Chen, Linyuan Gong, Alvin Cheung and Dawn Song	N/A	N/A
Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA?	Cunxiang Wang, Pai Liu and Yue Zhang	N/A	N/A
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns	Peru Bhardwaj, John Kelleher, Luca Costabello and Declan O’Sullivan	N/A	N/A
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation	Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, BOSHENG DING, Liying Cheng, Jiawei Low, Lidong Bing and Luo Si	N/A	N/A
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision	Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang and Kewei Tu	N/A	N/A
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis	Linyi Yang, Jiazheng Li, Padraig Cunningham, Yue Zhang, Barry Smyth and Ruihai Dong	N/A	N/A
Detecting Propaganda Techniques in Memes	Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov and Giovanni Da San Martino	N/A	N/A
Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing	Liwen Zhang, Ge Wang, Wenjuan Han and Kewei Tu	N/A	N/A
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters	Mengjie Zhao, Yi Zhu, Ehsan Shareghi, Ivan Vulić, Roi Reichart, Anna Korhonen and Hinrich Schütze	N/A	N/A
Towards Argument Mining for Social Good: A Survey	Eva Maria Vecchi, Neele Falk, Iman Jundi and Gabriella Lapesa	N/A	N/A
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?	Nikita Nangia, Saku Sugawara, Harsh Trivedi, Alex Warstadt, Clara Vania and Samuel R. Bowman	N/A	N/A
Cross-language Sentence Selection via Data Augmentation and Rationale Training	Yanda Chen, Chris Kedzie, Suraj Nair, Petra Galuscakova, Rui Zhang, Douglas Oard and Kathleen McKeown	N/A	N/A
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models	Soumya Barikeri, Anne Lauscher, Ivan Vulić and Goran Glavaš	N/A	N/A
Transferable Dialogue Systems and User Simulators	Bo-Hsiang Tseng, Yinpei Dai, Florian Kreyssig and Bill Byrne	N/A	N/A
PASS: Perturb-and-Select Summarizer for Product Reviews	Nadav Oved and Ran Levy	N/A	N/A
Comparing Test Sets with Item Response Theory	Clara Vania, Phu Mon Htut, William Huang, Dhara Mungra, Richard Yuanzhe Pang, Jason Phang, Haokun Liu, Kyunghyun Cho and Samuel R. Bowman	N/A	N/A
A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations	Chongyang Tao, Changyu Chen, Jiazhan Feng, Ji-Rong Wen and Rui Yan	N/A	N/A
Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?	Luisa Bentivogli, Mauro Cettolo, Marco Gaido, Alina Karakanta, Alberto Martinelli, Matteo Negri and Marco Turchi	N/A	N/A
Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked Claims	Qiang Sheng, Juan Cao, Xueyao Zhang, Xirong Li and Lei Zhong	N/A	N/A
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning	Cheonbok Park, Yunwon Tae, TaeHee Kim, Soyoung Yang, Mohammad Azam Khan, Lucy Park and Jaegul Choo	N/A	N/A
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation	Shizhe Diao, Ruijia Xu, Hongjin Su, Yilei Jiang, Yan Song and Tong Zhang	N/A	N/A
Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition	Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang and Pengjun Xie	N/A	N/A
ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning	Li Du, Xiao Ding, Kai Xiong, Ting Liu and Bing Qin	N/A	N/A
CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes	James Mullenbach, Yada Pruksachatkun, Sean Adler, Jennifer Seale, Jordan Swartz, Greg McKelvey, Hui Dai, Yi Yang and David Sontag	N/A	N/A
Assessing Emoji Use in Modern Text Processing Tools	Abu Awal Md Shoeb and Gerard De Melo	N/A	N/A
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation	Yuanxin LIU, Fandong Meng, Zheng Lin, Weiping Wang and Jie Zhou	N/A	N/A
Measuring and Increasing Context Usage in Context-Aware Machine Translation	Patrick Fernandes, Kayo Yin, Graham Neubig and André F. T. Martins	N/A	N/A
Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort	Vânia Mendonça, Ricardo Rei, Luisa Coheur, Alberto Sardinha and Ana Lúcia Santos	N/A	N/A
Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL	Jiaqi Guo, Ziliang Si, Yu Wang, Qian Liu, Ming Fan, Jian-Guang LOU, Zijiang Yang and Ting Liu	N/A	N/A
Bad Seeds: Evaluating Lexical Methods for Bias Measurement	Maria Antoniak and David Mimno	N/A	N/A
Explaining Contextualization in Language Models using Visual Analytics	Rita Sevastjanova, Aikaterini-Lida Kalouli, Christin Beck, Hanna Schäfer and Mennatallah El-Assady	N/A	N/A
Evaluating morphological typology in zero-shot cross-lingual transfer	Antonio Martínez-García, Toni Badia and Jeremy Barnes	N/A	N/A
Improving Dialog Systems for Negotiation with Personality Modeling	Runzhe Yang, Jingxiao Chen and Karthik Narasimhan	N/A	N/A
Lower Perplexity is Not Always Human-Like	Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, Ryo Yoshida, Masayuki Asahara and Kentaro Inui	N/A	N/A
Understanding and Countering Stereotypes: A Computational Approach to the Stereotype Content Model	Kathleen C. Fraser, Isar Nejadgholi and Svetlana Kiritchenko	N/A	N/A
Obtaining Better Static Word Embeddings Using Contextual Embedding Models	Prakhar Gupta and Martin Jaggi	N/A	N/A
What Context Features Can Transformer Language Models Use?	Joe O’Connor and Jacob Andreas	N/A	N/A
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text	Ishan Tarunesh, Syamantak Kumar and Preethi Jyothi	N/A	N/A
Best of Both Worlds: Making High Accuracy Non-incremental Transformer-based Disfluency Detection Incremental	Morteza Rohanian and Julian Hough	N/A	N/A
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models	Peter West, Ximing Lu, Ari Holtzman, Chandra Bhagavatula, Jena D. Hwang and Yejin Choi	N/A	N/A
Early Detection of Sexual Predators in Chats	Matthias Vogt, Ulf Leser and Alan Akbik	N/A	N/A
StereoRel: Relational Triple Extraction from a Stereoscopic Perspective	Xuetao Tian, Liping Jing, Lu He and Feng Liu	N/A	N/A
Do Context-Aware Translation Models Pay the Right Attention?	Kayo Yin, Patrick Fernandes, Danish Pruthi, Aditi Chaudhary, André F. T. Martins and Graham Neubig	N/A	N/A
Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction	Tianze Shi and Lillian Lee	N/A	N/A
UnitedQA: A Hybrid Approach for Open Domain Question Answering	Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen and Jianfeng Gao	N/A	N/A
ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences	Yanjun Gao, Ting-Hao Huang and Rebecca J. Passonneau	N/A	N/A
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning	Christopher Schröder, Kim Bürgl, Yves Annanias, Andreas Niekler, Lydia Müller, Daniel Wiegreffe, Christian Bender, Christoph Mengs, Gerik Scheuermann and Gerhard Heyer	N/A	N/A
Reservoir Transformers	Sheng Shen, Alexei Baevski, Ari Morcos, Kurt Keutzer, Michael Auli and Douwe Kiela	N/A	N/A
KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation	Yiran Xing, Zai Shi, Zhao Meng, Gerhard Lakemeyer, Yunpu Ma and Roger Wattenhofer	N/A	N/A
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the Web	Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave, Armand Joulin and Angela Fan	N/A	N/A
Improving Paraphrase Detection with the Adversarial Paraphrasing Task	Animesh Nighojkar and John Licato	N/A	N/A
Structured Sentiment Analysis as Dependency Graph Parsing	Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid and Erik Velldal	N/A	N/A
A Survey of Race, Racism, and Anti-Racism in NLP	Anjalie Field, Su Lin Blodgett, Zeerak Waseem and Yulia Tsvetkov	N/A	N/A
TIMEDIAL: Temporal Commonsense Reasoning in Dialog	Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi and Manaal Faruqui	N/A	N/A
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation	Ahmad Rashid, Vasileios Lioutas and Mehdi Rezagholizadeh	N/A	N/A
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation	Yingjun Du, Nithin Holla, Xiantong Zhen, Cees Snoek and Ekaterina Shutova	N/A	N/A
Diverse Pretrained Context Encodings Improve Document Translation	Domenic Donato, Lei Yu and Chris Dyer	N/A	N/A
Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning	Forrest Davis and Marten Van Schijndel	N/A	N/A
Lexicon Learning for Few Shot Sequence Modeling	Ekin Akyurek and Jacob Andreas	N/A	N/A
Employing Argumentation Knowledge Graphs for Neural Argument Generation	Khalid Al Khatib, Lukas Trautner, Henning Wachsmuth, Yufang Hou and Benno Stein	N/A	N/A
TAN-NTM: Topic Attention Networks for Neural Topic Modeling	Madhur Panwar, Shashank Shailabh, Milan Aggarwal and Balaji Krishnamurthy	N/A	N/A
LexFit: Lexical Fine-Tuning of Pretrained Language Models	Ivan Vulić, Edoardo Maria Ponti, Anna Korhonen and Goran Glavaš	N/A	N/A
OTTers: One-turn Topic Transitions for Open-Domain Dialogue	Karin Sevegnani, David M. Howcroft, Ioannis Konstas and Verena Rieser	N/A	N/A
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data	Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan and Xiang Ren	N/A	N/A
Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU	Yilin Shen, Yen-Chang Hsu, Avik Ray and Hongxia Jin	N/A	N/A
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models	Matthew Finlayson, Aaron Mueller, Sebastian Gehrmann, Stuart Shieber, Tal Linzen and Yonatan Belinkov	N/A	N/A
To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings	Sarah Moeller, Ling Liu and Mans Hulden	N/A	N/A
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation	Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut and Yejin Choi	N/A	N/A
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features	Hannah Rashkin, David Reitter, Gaurav Singh Tomar and Dipanjan Das	N/A	N/A
Beyond Noise: Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation	Eleftheria Briakou and Marine Carpuat	N/A	N/A
Continuous Language Generative Flow	Zineng Tang, Shiyue Zhang, Hyounghun Kim and Mohit Bansal	N/A	N/A
Recursive Tree-Structured Self-Attention for Answer Sentence Selection	Khalil Mrini, Emilia Farcas and Ndapa Nakashole	N/A	N/A
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding	Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren and Xin Luna Dong	N/A	N/A
Better than Average: Paired Evaluation of NLP systems	Maxime Peyrard, Wei Zhao, Steffen Eger and Robert West	N/A	N/A
Modeling Fine-Grained Entity Types with Box Embeddings	Yasumasa Onoe, Michael Boratko, Andrew McCallum and Greg Durrett	N/A	N/A
Value-Agnostic Conversational Semantic Parsing	Emmanouil Antonios Platanios, Adam Pauls, Subhro Roy, Yuchen Zhang, Alexander Kyte, Alan Guo, Sam Thomson, Jayant Krishnamurthy, Jason Wolfe, Jacob Andreas and Dan Klein	N/A	N/A
CoRI: Collective Relation Integration with Data Augmentation for Open Information Extraction	Zhengbao Jiang, Jialong Han, BUNYAMIN SISMAN and Xin Luna Dong	N/A	N/A
Syntopical Graphs for Computational Argumentation Tasks	Joe Barrow, Rajiv Jain, Nedim Lipka, Franck Dernoncourt, Vlad Morariu, Varun Manjunatha, Douglas Oard, Philip Resnik and Henning Wachsmuth	N/A	N/A
Anonymisation Models for Text Data: State of the art, Challenges and Future Directions	Pierre Lison, Ildikó Pilán, David Sanchez, Montserrat Batet and Lilja Øvrelid	N/A	N/A
Selecting Informative Contexts Improves Language Model Fine-tuning	Richard Antonello, Nicole Beckage, Javier Turek and Alexander Huth	N/A	N/A
BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?	Asahi Ushio, Luis Espinosa Anke, Steven Schockaert and Jose Camacho-Collados	N/A	N/A
Measure and Evaluation of Semantic Divergence across Two Languages	Syrielle Montariol and Alexandre Allauzen	N/A	N/A
Discriminative Reranking for Neural Machine Translation	Ann Lee, Michael Auli and Marc’Aurelio Ranzato	N/A	N/A
Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments	Austin Blodgett and Nathan Schneider	N/A	N/A
Meta-Learning to Compositionally Generalize	Henry Conklin, Bailin Wang, Kenny Smith and Ivan Titov	N/A	N/A
Handling Extreme Class Imbalance in Technical Logbook Datasets	Farhad Akhbardeh, Cecilia Ovesdotter Alm, Marcos Zampieri and Travis Desell	N/A	N/A
W-RST: Towards a Weighted RST-style Discourse Framework	Patrick Huber, Wen Xiao and Giuseppe Carenini	N/A	N/A
Examining the Inductive Bias of Neural Language Models with Artificial Languages	Jennifer C. White and Ryan Cotterell	N/A	N/A
Factoring Statutory Reasoning as Language Understanding Challenges	Nils Holzenberger and Benjamin Van Durme	N/A	N/A
CitationIE: Leveraging the Citation Graph for Scientific Information Extraction	Vijay Viswanathan, Graham Neubig and Pengfei Liu	N/A	N/A
Changing the World by Changing the Data	Anna Rogers	N/A	N/A
Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability	Ka Wong, Praveen Paritosh and Lora Aroyo	N/A	N/A
Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention	Wasi Ahmad, Xiao Bai, Soomin Lee and Kai-Wei Chang	N/A	N/A
Automated Generation of Storytelling Vocabulary from Photographs for use in AAC	Mauricio Fontana De Vargas and Karyn Moffatt	N/A	N/A
DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions	Weijia Shi, Mandar Joshi and Luke Zettlemoyer	N/A	N/A
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models	Xueqing Liu and Chi Wang	N/A	N/A
Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text	Philippe Laban, Tobias Schnabel, Paul Bennett and Marti A. Hearst	N/A	N/A
Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution	Hieu Minh Tran, Duy Phung and Thien Huu Nguyen	N/A	N/A
A Targeted Assessment of Incremental Processing in Neural Language Models and Humans	Ethan Wilcox, Pranali Vani and Roger Levy	N/A	N/A
Data Augmentation with Adversarial Training for Cross-Lingual NLI	Xin Dong, Yaxin Zhu, Zuohui Fu, Dongkuan Xu and Gerard De Melo	N/A	N/A
Factuality Assessment as Modal Dependency Parsing	Jiarui Yao, Haoling Qiu, Jin Zhao, Bonan Min and Nianwen Xue	N/A	N/A
Accelerating Text Communication via Abbreviated Sentence Input	Jiban Adhikary, Jamie Berger and Keith Vertanen	N/A	N/A
End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages	Josef Jon, João Paulo Aires, Dusan Varis and Ondřej Bojar	N/A	N/A
Stereotyping Norwegian Salmon: An Inventory of Pitfalls in Fairness Benchmark Datasets	Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim and Hanna Wallach	N/A	N/A
Syntax-augmented Multilingual BERT for Cross-lingual Transfer	Wasi Ahmad, Haoran Li, Kai-Wei Chang and Yashar Mehdad	N/A	N/A
Language Embeddings for Typology and Cross-lingual Transfer Learning	Dian Yu, Taiqi He and Kenji Sagae	N/A	N/A
Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy?	Abhilasha Ravichander, Alan W Black, Thomas Norton, Shomir Wilson and Norman Sadeh	N/A	N/A
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability	Jiaao Chen, Dinghan Shen, Weizhu Chen and Diyi Yang	N/A	N/A
ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining	Alexander Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad and Dragomir Radev	N/A	N/A
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data	Wei-Jen Ko, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Naman Goyal, Francisco Guzmán, Pascale Fung, Philipp Koehn and Mona Diab	N/A	N/A
Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols	Chaitanya Kulkarni, Jany Chan, Eric Fosler-Lussier and Raghu Machiraju	N/A	N/A
Modeling Language Usage and Listener Engagement in Podcasts	Sravana Reddy, Mariya Lazarova, Yongze Yu and Rosie Jones	N/A	N/A
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task	Yun Tang, Juan Pino, Xian Li, Changhan Wang and Dmitriy Genzel	N/A	N/A
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study	Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton and Wen-tau Yih	N/A	N/A
Learning Prototypical Functions for Physical Artifacts	Tianyu Jiang and Ellen Riloff	N/A	N/A
A unified approach to sentence segmentation of punctuated text in many languages	Rachel Wicks and Matt Post	N/A	N/A
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models	Xian Li, Changhan Wang, Yun Tang, Chau Tran, Yuqing Tang, Juan Pino, Alexei Baevski, Alexis Conneau and Michael Auli	N/A	N/A
Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding	Xin Sun, Tao Ge, Furu Wei and Houfeng Wang	N/A	N/A
Regression Bugs Are In Your Model! Measuring, Reducing and Analyzing Regressions In NLP Model Updates	YUQING XIE, Yi-An Lai, Yuanjun Xiong, Yi Zhang and Stefano Soatto	N/A	N/A
Multi-TimeLine Summarization (MTLS): Improving Timeline Summarization by Generating Multiple Summaries	Yi Yu, Adam Jatowt, Antoine Doucet, Kazunari Sugiyama and Masatoshi Yoshikawa	N/A	N/A
Learning to Explain: Generating Stable Explanations Fast	Xuelin Situ, Ingrid Zukerman, Cecile Paris, Sameen Maruf and Gholamreza Haffari	N/A	N/A
StereoSet: Measuring stereotypical bias in pretrained language models	Moin Nadeem, Anna Bethke and Siva Reddy	N/A	N/A
Neural semi-Markov CRF for Monolingual Word Alignment	Wuwei Lan, Chao Jiang and Wei Xu	N/A	N/A
Privacy at Scale: Introducing the PrivaSeer Corpus of Web Privacy Policies	Mukund Srinath, Shomir Wilson and C Lee Giles	N/A	N/A
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling	Libo Qin, Fuxuan Wei, Tianbao Xie, Xiao Xu, Wanxiang Che and Ting Liu	N/A	N/A
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification	Cristina Garbacea, Mengtian Guo, Samuel Carton and Qiaozhu Mei	N/A	N/A
EmailSum: Abstractive Email Thread Summarization	Shiyue Zhang, Asli Celikyilmaz, Jianfeng Gao and Mohit Bansal	N/A	N/A
The R-U-A-Robot Dataset: Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity	David Gros, Yu Li and Zhou Yu	N/A	N/A
Multi-Task Retrieval for Knowledge-Intensive Tasks	Jean Maillard, Vladimir Karpukhin, Fabio Petroni, Wen-tau Yih, Barlas Oguz, Veselin Stoyanov and Gargi Ghosh	N/A	N/A
Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks	Yuanhe Tian, Guimin Chen, Yan Song and Xiang Wan	N/A	N/A
Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference	Robert L Logan IV, Andrew McCallum, Sameer Singh and Dan Bikel	N/A	N/A
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?	Peter Shaw, Ming-Wei Chang, Panupong Pasupat and Kristina Toutanova	N/A	N/A
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers	Chia-Hsuan Lee, Oleksandr Polozov and Matthew Richardson	N/A	N/A
The statistical advantage of automatic NLG metrics at the system level	Johnny Wei and Robin Jia	N/A	N/A
Style is NOT a single variable: Case Studies for Cross-Stylistic Language Understanding	Dongyeop Kang and Eduard Hovy	N/A	N/A
GTM: A Generative Triple-wise Model for Conversational Question Generation	Lei Shen, Fandong Meng, Jinchao Zhang, Yang Feng and Jie Zhou	N/A	N/A
Discontinuous Named Entity Recognition as Maximal Clique Discovery	Yucheng Wang, Bowen Yu, Hongsong Zhu, Tingwen Liu, Nan Yu and Limin Sun	N/A	N/A
Joint Models for Answer Verification in Question Answering Systems	Zeyu Zhang, Thuy Vu and Alessandro Moschitti	N/A	N/A
Language Model Augmented Relevance Score	Ruibo Liu, Jason Wei and Soroush Vosoughi	N/A	N/A
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution	Jiacheng Xu and Greg Durrett	N/A	N/A
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation	Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao and Zhaopeng Tu	N/A	N/A
All That’s ‘Human’ Is Not Gold: Evaluating Human Evaluation of Generated Text	Elizabeth Clark, Tal August, Sofia Serrano, Nikita Haduong, Suchin Gururangan and Noah A. Smith	N/A	N/A
ReadOnce Transformers: Reusable Representations of Text for Transformers	Shih-Ting Lin, Ashish Sabharwal and Tushar Khot	N/A	N/A
Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism	Tong Zhou, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Kun Niu, Weifeng Chong and Shengping Liu	N/A	N/A
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning	Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao and Fei Huang	N/A	N/A
DynaEval: Unifying Turn and Dialogue Level Evaluation	Chen Zhang, Yiming Chen, Luis Fernando D’Haro, Yan Zhang, Thomas Friedrichs, Grandee Lee and Haizhou Li	N/A	N/A
Stance Detection in COVID-19 Tweets	Kyle Glandt, Sarthak Khanal, Yingjie Li, Doina Caragea and Cornelia Caragea	N/A	N/A
Bootstrapped Unsupervised Sentence Representation Learning	Yan Zhang, Ruidan He, ZUOZHU LIU, Lidong Bing and Haizhou Li	N/A	N/A
Neural Bi-Lexicalized PCFG Induction	Songlin Yang, Yanpeng Zhao and Kewei Tu	N/A	N/A
Surprisal Estimators for Human Reading Times Need Character Models	Byung-Doh Oh, Christian Clark and William Schuler	N/A	N/A
Weakly Supervised Named Entity Tagging with Learnable Logical Rules	Jiacheng Li, Haibo Ding, Jingbo Shang, Julian McAuley and Zhe Feng	N/A	N/A
Intrinsic Bias Metrics Do Not Correlate with Application Bias	Seraphina Goldfarb-Tarrant, Rebecca Marchant, Ricardo Muñoz Sánchez, Mugdha Pandya and Adam Lopez	N/A	N/A
A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow	Bidisha Samanta, Mohit Agrawal and NIloy Ganguly	N/A	N/A
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation	Xinyu Hua, Ashwin Sreevatsa and Lu Wang	N/A	N/A
Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers	Benjamin Marie, Atsushi Fujita and Raphael Rubino	N/A	N/A
SpanNER: Named Entity Re-/Recognition as Span Prediction	Jinlan Fu, Xuanjing Huang and Pengfei Liu	N/A	N/A
Self-Supervised Multimodal Opinion Summarization	Jinbae Im, Moonki Kim, Hoyeop Lee, Hyunsouk Cho and Sehee Chung	N/A	N/A
Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering	Najoung Kim, Ellie Pavlick, Burcu Karagol Ayan and Deepak Ramachandran	N/A	N/A
How to Adapt Your Pretrained Multilingual Model to 1600 Languages	Abteen Ebrahimi and Katharina Kann	N/A	N/A
A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy	Wang Chen, Piji Li and Irwin King	N/A	N/A
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World	Rowan Zellers, Ari Holtzman, Matthew Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi and Yejin Choi	N/A	N/A
LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking	Hang Jiang, Sairam Gurajada, Qiuhao Lu, Sumit Neelam, Lucian Popa, Prithviraj Sen, Yunyao Li and Alexander Gray	N/A	N/A
Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction	Li Cui, Deqing Yang, Jiaxin Yu, Chengwei Hu, Jiayang Cheng, Jingjie Yi and Yanghua Xiao	N/A	N/A
Controllable Open-ended Question Generation with A New Question Type Ontology	Shuyang Cao and Lu Wang	N/A	N/A
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions	Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky and Tatsunori Hashimoto	N/A	N/A
Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering	Yunshi Lan and Jing Jiang	N/A	N/A
Vocabulary Learning via Optimal Transport for Neural Machine Translation	Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng and Lei Li	N/A	N/A
A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding	Khalil Mrini, Franck Dernoncourt, Seunghyun Yoon, Trung Bui, Walter Chang, Emilia Farcas and Ndapa Nakashole	N/A	N/A
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques	Kundan Krishna, Sopan Khosla, Jeffrey Bigham and Zachary C. Lipton	N/A	N/A
Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions	Hongjie Cai, Rui Xia and Jianfei Yu	N/A	N/A
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts	Alisa Liu, Maarten Sap, Ximing Lu, Swabha Swayamdipta, Chandra Bhagavatula, Noah A. Smith and Yejin Choi	N/A	N/A
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification	Jiasheng Si, Deyu Zhou, Tongzhe Li, Xingyu Shi and Yulan He	N/A	N/A
Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger	Fanchao Qi, Mukai Li, Yangyi Chen, Zhengyan Zhang, Zhiyuan Liu, Yasheng Wang and Maosong Sun	N/A	N/A
Multimodal Multi-Speaker Merger & Acquisition Financial Modeling: A New Task, Dataset, and Neural Baselines	Ramit Sawhney, Mihir Goyal, Prakhar Goel, Puneet Mathur and Rajiv Ratn Shah	N/A	N/A
Exploring Discourse Structures for Argument Impact Classification	Xin Liu, Jiefu Ou, Yangqiu Song and Xin Jiang	N/A	N/A
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP	Anthony Chen, Pallavi Gudipati, Shayne Longpre, Xiao Ling and Sameer Singh	N/A	N/A
QASR: QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus	Hamdy Mubarak, Amir Hussein, Shammur Absar Chowdhury and Ahmed Ali	N/A	N/A
LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations	Ruisheng Cao, Lu Chen, Zhi Chen, Yanbin Zhao, Su Zhu and Kai Yu	N/A	N/A
Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering	Siddharth Karamcheti, Ranjay Krishna, Li Fei-Fei and Christopher Manning	N/A	N/A
ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic	Muhammad Abdul-Mageed, AbdelRahim Elmadany and El Moatez Billah Nagoudi	N/A	N/A
Glancing Transformer for Non-Autoregressive Neural Machine Translation	Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu and Lei Li	N/A	N/A
Alignment Rationale for Natural Language Inference	Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Jun Zhao and Kang Liu	N/A	N/A
Learning Event Graph Knowledge for Abductive Reasoning	Li Du, Xiao Ding, Ting Liu and Bing Qin	N/A	N/A
Towards Table-to-Text Generation with Numerical Reasoning	Lya Hulliyyatus Suadaa, Hidetaka Kamigaito, Kotaro Funakoshi, Manabu Okumura and Hiroya Takamura	N/A	N/A
Check It Again: Progressive Visual Question Answering via Visual Entailment	Qingyi Si, Zheng Lin, Ming Yu Zheng, Peng Fu and Weiping Wang	N/A	N/A
Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels	Marcos Garcia, Tiago Kramer Vieira, Carolina Scarton, Marco Idiart and Aline Villavicencio	N/A	N/A
Document-level Event Extraction via Parallel Prediction Networks	Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao and Taifeng Wang	N/A	N/A
More Identifiable yet Equally Performant Transformers for Text Classification	Rishabh Bhardwaj, Navonil Majumder, Soujanya Poria and Eduard Hovy	N/A	N/A
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation	Yang Feng, Shuhao Gu, Dengji Guo, Zhengxin Yang and Chenze Shao	N/A	N/A
StructuralLM: Structural Pre-training for Form Understanding	Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang and Luo Si	N/A	N/A
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering	Zhihong Shao, Lifeng Shang, Qun Liu and Minlie Huang	N/A	N/A
Learning Relation Alignment for Calibrated Cross-modal Retrieval	Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun and Hongxia Yang	N/A	N/A
TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models	Jie He, Bo Peng, Yi Liao, Qun Liu and Deyi Xiong	N/A	N/A
Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering	Gangwoo Kim, Hyunjae Kim, Jungsoo Park and Jaewoo Kang	N/A	N/A
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER	Weile Chen, Huiqiang Jiang, Qianhui Wu, Borje Karlsson and Yi Guan	N/A	N/A
A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies	A. Seza Doğruöz, Sunayana Sitaram, Barbara E. Bullock and Almeida Jacqueline Toribio	N/A	N/A
Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction	Piji Li and Shuming Shi	N/A	N/A
Risk Minimization for Zero-shot Sequence Labeling	Zechuan Hu, Yong Jiang, Nguyen Bach, Tao Wang, Zhongqiang Huang, Fei Huang and Kewei Tu	N/A	N/A
Exploring Distantly-Labeled Rationales in Neural Network Models	Quzhe Huang, Shengqi Zhu, Yansong Feng and Dongyan Zhao	N/A	N/A
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding	Dong Wang, Ning Ding, Piji Li and Haitao Zheng	N/A	N/A
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction	Lu Xu, Yew Ken Chia and Lidong Bing	N/A	N/A
PHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check	Li Huang, Junjie Li, Weiwei Jiang, Zhiyu Zhang, Minchuan Chen, Shaojun Wang and Jing Xiao	N/A	N/A
Learning to Perturb Word Embeddings for Out-of-distribution QA	Seanie Lee, Minki Kang, Juho Lee and Sung Ju Hwang	N/A	N/A
The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing	Valentina Pyatkin, Shoval Sadde, Aynat Rubinstein, Paul Portner and Reut Tsarfaty	N/A	N/A
WARP: Word-level Adversarial ReProgramming	Karen Hambardzumyan, Hrant Khachatrian and Jonathan May	N/A	N/A
BERTAC: Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks	Jong-Hoon Oh, Ryu Iida, Julien Kloetzer and Kentaro Torisawa	N/A	N/A
A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization	Zongcheng Ji, Tian Xia, Mei Han and Jing Xiao	N/A	N/A
Annotating Online Misogyny	Philine Zeinert, Nanna Inie and Leon Derczynski	N/A	N/A
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs	Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang and Xueqi Cheng	N/A	N/A
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study	Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha Talukdar and Sunita Sarawagi	N/A	N/A
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making	Zijun Yao, Chengjiang Li, Tiansi Dong, Xin Lv, Jifan Yu, Lei Hou, Juanzi Li, YICHI ZHANG and Zelin Dai	N/A	N/A
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators	Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu and Ji-Rong Wen	N/A	N/A
On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation	Wei Zhang, Ziming Huang, Yada Zhu, Guangnan Ye, Xiaodong Cui and Fan Zhang	N/A	N/A
Length-Adaptive Transformer: Train Once with Length Drop, Use Anytime with Search	Gyuwan Kim and Kyunghyun Cho	N/A	N/A
H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences	Zhenhai Zhu and Radu Soricut	N/A	N/A
The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes	Nils Reimers and Iryna Gurevych	N/A	N/A
What’s in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus	Alexandra Luccioni and Joseph Viviano	N/A	N/A
Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition	Yubo Xie, Junze Li and Pearl Pu	N/A	N/A
Parameter Selection: Why We Should Pay More Attention to It	Jie-Jyun Liu, Tsung-Han Yang, Si-An Chen and Chih-Jen Lin	N/A	N/A
DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications	Hongxuan Tang, Hongyu Li, Jing Liu, Yu Hong, Hua Wu and Haifeng Wang	N/A	N/A
How effective is BERT without word ordering? Implications for language understanding and data privacy	Jack Hessel and Alexandra Schofield	N/A	N/A
Attentive Multiview Text Representation for Differential Diagnosis	Hadi Amiri, Mitra Mohtarami and Isaac Kohane	N/A	N/A
AligNarr: Aligning Narratives on Movies	Paramita Mirza, Mostafa Abouhamra and Gerhard Weikum	N/A	N/A
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models	Chong Li, Cenyuan Zhang, Xiaoqing Zheng and Xuanjing Huang	N/A	N/A
Targeting the Benchmark: On Methodology in Current Natural Language Processing Research	David Schlangen	N/A	N/A
Towards a more Robust Evaluation for Conversational Question Answering	Wissam Siblini, Baris Sayil and Yacine Kessaci	N/A	N/A
TIMERS: Document-level Temporal Relation Extraction	Puneet Mathur, Rajiv Jain, Franck Dernoncourt, Vlad Morariu, Quan Hung Tran and Dinesh Manocha	N/A	N/A
ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction	Chen-Yu Lee, Chun-Liang Li, Chu Wang, Renshen Wang, Yasuhisa Fujii, Siyang Qin, Ashok Popat and Tomas Pfister	N/A	N/A
Enhancing Entity Boundary Detection for Better Chinese Named Entity Recognition	Chun Chen and Fang Kong	N/A	N/A
Coreference Resolution without Span Representations	Yuval Kirstain, Ori Ram and Omer Levy	N/A	N/A
Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving	Shih-hung Tsai, Chao-Chun Liang, Hsin-Min Wang and Keh-Yih Su	N/A	N/A
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints	Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp and Sebastian Riedel	N/A	N/A
Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event	Nazanin Dehghani, Hassan Hajipoor and Hadi Amiri	N/A	N/A
Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders	Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu and Dragomir Radev	N/A	N/A
Beyond Laurel/Yanny: An Autoencoder-Enabled Search for Polyperceivable Audio	Kartik Chandra, Chuma Kabaghe and Gregory Valiant	N/A	N/A
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning	Zhiyuan Zeng, Keqing He, Yuanmeng Yan, Zijun Liu, Yanan Wu, Hong Xu, Huixing Jiang and Weiran Xu	N/A	N/A
Video Paragraph Captioning as a Text Summarization Task	Hui Liu and Xiaojun Wan	N/A	N/A
Entity Enhancement for Implicit Discourse Relation Classification in the Biomedical Domain	Wei Shi and Vera Demberg	N/A	N/A
A Mixture-of-Experts Model for Antonym-Synonym Discrimination	Zhipeng Xie and Nan Zeng	N/A	N/A
Attention Flows are Shapley Value Explanations	Kawin Ethayarajh and Dan Jurafsky	N/A	N/A
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking	Fangyu Liu, Ivan Vulić, Anna Korhonen and Nigel Collier	N/A	N/A
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore	Inigo Jauregi Unanue, Jacob Parnell and Massimo Piccardi	N/A	N/A
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles	Ana-Cristina Rogoz, Gaman Mihaela and Radu Tudor Ionescu	N/A	N/A
Improving Arabic Diacritization with Regularized Decoding and Adversarial Training	Han Qin, Guimin Chen, Yuanhe Tian and Yan Song	N/A	N/A
Higher-order Derivatives of Weighted Finite-state Machines	Ran Zmigrod, Tim Vieira and Ryan Cotterell	N/A	N/A
Multi-Scale Progressive Attention Network for Video Question Answering	Zhicheng Guo, Jiaxuan Zhao, Licheng Jiao, Xu Liu and Lingling Li	N/A	N/A
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions	Daniel Rosenberg, Itai Gat, Amir Feder and Roi Reichart	N/A	N/A
Efficient Passage Retrieval with Hashing for Open-domain Question Answering	Ikuya Yamada, Akari Asai and Hannaneh Hajishirzi	N/A	N/A
Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries	Ashish Shrivastava, Kaustubh Dhole, Abhinav Bhatt and Sharvani Raghunath	N/A	N/A
An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter	Zhiyuan Zeng and Deyi Xiong	N/A	N/A
Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models	Mingyue Han and Yinglin Wang	N/A	N/A
Catchphrase: Automatic Detection of Cultural References	Nir Sweed and Dafna Shahaf	N/A	N/A
Towards Visual Question Answering on Pathology Images	Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric Xing and Pengtao Xie	N/A	N/A
Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection	Debora Nozza	N/A	N/A
QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining	Xinya Du, Luheng He, Qi Li, Dian Yu, Panupong Pasupat and Yuan Zhang	N/A	N/A
Entity Concept-enhanced Few-shot Relation Extraction	Shan Yang, Yongfei Zhang, Guanglin Niu, Qinghua Zhao and Shiliang Pu	N/A	N/A
Enhancing Descriptive Image Captioning with Natural Language Inference	Zhan Shi, Hui Liu and Xiaodan Zhu	N/A	N/A
Cross-lingual Text Classification with Heterogeneous Graph Neural Network	Ziyun Wang, Xuan Liu, Peiji Yang, Shixing Liu and Zhisheng Wang	N/A	N/A
Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking	Yinpei Dai, Hangyu Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si and Xiaodan Zhu	N/A	N/A
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking	Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu and Min Yang	N/A	N/A
On the Generation of Medical Dialogs for COVID-19	Meng Zhou, Zechen Li, Bowen Tan, Guangtao Zeng, Wenmian Yang, Xuehai He, Zeqian Ju, Subrato Chakravorty, Shu Chen, Xingyi Yang, Yichen Zhang, Qingyang Wu, Zhou Yu, Kun Xu, Eric Xing and Pengtao Xie	N/A	N/A
Domain-Adaptive Pretraining Methods for Dialogue Understanding	Han Wu, Kun Xu, Linfeng Song, Lifeng Jin, Haisong Zhang and Linqi Song	N/A	N/A
Zero-shot Fact Verification by Claim Generation	Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan and William Yang Wang	N/A	N/A
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling	Chuhan Wu, Fangzhao Wu, Tao Qi and Yongfeng Huang	N/A	N/A
Improving Compositional Generalization in Classification Tasks via Structure Annotations	Juyong Kim, Pradeep Ravikumar, Joshua Ainslie and Santiago Ontanon	N/A	N/A
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation	Yangyifan Xu, Yijin Liu, Fandong Meng, Jiajun Zhang, Jinan Xu and Jie Zhou	N/A	N/A
Improving Model Generalization: A Chinese Named Entity Recognition Case Study	Guanqing Liang and Cane Wing-Ki Leung	N/A	N/A
On Orthogonality Constraints for Transformers	Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao and Roy Ka-Wei Lee	N/A	N/A
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction	Gyubok Lee, Seongjun Yang and Edward Choi	N/A	N/A
Is Sparse Attention more Interpretable?	Clara Meister, Stefan Lazov, Isabelle Augenstein and Ryan Cotterell	N/A	N/A
What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts	Sanja Stajner, Seren Yenikent, Bilal Ghanem and Marc Franco-Salvador	N/A	N/A
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images	Nyoungwoo Lee, Suwon Shin, Jaegul Choo, Ho-Jin Choi and Sung-Hyon Myaeng	N/A	N/A
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models	Jieyu Lin, Jiajie Zou and Nai Ding	N/A	N/A
Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation	Hongfei Xu, Qiuhui Liu, Josef Van Genabith and Deyi Xiong	N/A	N/A
Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia	Jiao Sun and Nanyun Peng	N/A	N/A
Learning to Generate Task-Specific Adapters from Task Description	Qinyuan Ye and Xiang Ren	N/A	N/A
Continual Quality Estimation with Online Bayesian Meta-Learning	Abiola Obamuyide, Marina Fomicheva and Lucia Specia	N/A	N/A
Relative Importance in Sentence Processing	Nora Hollenstein and Lisa Beinborn	N/A	N/A
PRAL: A Tailored Pre-Training Model for Task-Oriented Dialog Generation	Jing Gu, Qingyang Wu, Chongruo Wu, Weiyan Shi and Zhou Yu	N/A	N/A
WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation	Nachshon Cohen, Oren Kalinsky, Yftah Ziser and Alessandro Moschitti	N/A	N/A
Replicating and Extending ``Because Their Treebanks Leak’’: Graph Isomorphism, Covariants, and Parser Performance	Mark Anderson, Anders Sogaard and Carlos Gómez-Rodríguez	N/A	N/A
Distinct Label Representations for Few-Shot Text Classification	Sora Ohashi, Junya Takayama, Tomoyuki Kajiwara and Yuki Arase	N/A	N/A
Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis	Shinhyeok Oh, Dongyub Lee, Taesun Whang, IlNam Park, Seo Gaeun, EungGyun Kim and Harksoo Kim	N/A	N/A
Towards Generative Aspect-Based Sentiment Analysis	Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing and Wai Lam	N/A	N/A
Adaptive Nearest Neighbor Machine Translation	Xin Zheng, Zhirui Zhang, Junliang Guo, Shujian Huang, Boxing Chen, Weihua Luo and Jiajun CHEN	N/A	N/A
VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension	Haoyang Wen, Anthony Ferritto, Heng Ji, Radu Florian and Avi Sil	N/A	N/A
When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation	Jiahuan Li, Yutong Shen, Shujian Huang, Xinyu Dai and Jiajun CHEN	N/A	N/A
On Training Instance Selection for Few-Shot Neural Text Generation	Ernie Chang, Xiaoyu Shen, Hui-Syuan Yeh and Vera Demberg	N/A	N/A
How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?	Sayan Ghosh, Zheng Qi, Snigdha Chaturvedi and Shashank Srivastava	N/A	N/A
Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains	Chenghao Yang, Yudong Zhang and Smaranda Muresan	N/A	N/A
MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network	Nicholas FitzGerald, Dan Bikel, Jan Botha, Daniel Gillick, Tom Kwiatkowski and Andrew McCallum	N/A	N/A
Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer	Huiyuan Lai, Antonio Toral and Malvina Nissim	N/A	N/A
DefSent: Sentence Embeddings using Definition Sentences	Hayato Tsukagoshi, Ryohei Sasano and Koichi Takeda	N/A	N/A
OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres	Yilun Zhu, Sameer Pradhan and Amir Zeldes	N/A	N/A
An Improved Model for Voicing Silent Speech	David Gaddy and Dan Klein	N/A	N/A
A Simple Recipe for Multilingual Grammatical Error Correction	Sascha Rothe, Jonathan Mallinson, Eric Malmi, Sebastian Krause and Aliaksei Severyn	N/A	N/A
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence	Federico Bianchi, Silvia Terragni and Dirk Hovy	N/A	N/A
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition	Pei Chen, Haibo Ding, Jun Araki and Ruihong Huang	N/A	N/A
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents	Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang and Daqing He	N/A	N/A
Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction	Ming Shen, Pratyay Banerjee and Chitta Baral	N/A	N/A
Anchor-based Bilingual Word Embeddings for Low-Resource Languages	Tobias Eder, Viktor Hangya and Alexander Fraser	N/A	N/A
Learning to Solve NLP Tasks in an Incremental Number of Languages	Giuseppe Castellucci, Simone Filice, Danilo Croce and Roberto Basili	N/A	N/A
Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing	Jonathan K. Kummerfeld	N/A	N/A
The Case for Translation-Invariant Self-Attention in Transformer-Based Language Models	Ulme Wennberg and Gustav Eje Henter	N/A	N/A
Question Generation for Adaptive Education	Megha Srivastava and Noah Goodman	N/A	N/A
Measuring and Improving BERT’s Mathematical Abilities by Predicting the Order of Reasoning.	Piotr Piękos, Mateusz Malinowski and Henryk Michalewski	N/A	N/A
MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain	Christine Herlihy and Rachel Rudinger	N/A	N/A
Lightweight Adapter Tuning for Multilingual Speech Translation	Hang Le, Juan Pino, Changhan Wang, Jiatao Gu, Didier Schwab and Laurent Besacier	N/A	N/A
Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations	Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Kartik Talamadupula, Mrinmaya Sachan and Murray Campbell	N/A	N/A
Zero-shot Event Extraction via Transfer Learning: Challenges and Insights	Qing Lyu, Hongming Zhang, Elior Sulem and Dan Roth	N/A	N/A
AND does not mean OR: Using Formal Languages to Study Language Models’ Representations	Aaron Traylor, Roman Feiman and Ellie Pavlick	N/A	N/A
Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test	Philippe Laban, Luke Dai, Lucas Bandarkar and Marti A. Hearst	N/A	N/A
An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers	Tharindu Ranasinghe, Constantin Orasan and Ruslan Mitkov	N/A	N/A
Towards more equitable question answering systems: How much more data do you need?	Arnab Debnath, Navid Rajabi, Fardina Fathmiul Alam and Antonios Anastasopoulos	N/A	N/A
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?	Mihir Kale, Aditya Siddhant, Rami Al-Rfou, Linting Xue, Noah Constant and Melvin Johnson	N/A	N/A
Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese	Chunliu Wang, Rik Van Noord, Arianna Bisazza and Johan Bos	N/A	N/A
Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data	Sajad Norouzi, Keyi Tang and Yanshuai Cao	N/A	N/A
Gender bias amplification during Speed-Quality optimization in Neural Machine Translation	Adithya Renduchintala, Denise Diaz, Kenneth Heafield, Xian Li and Mona Diab	N/A	N/A
Enforcing Consistency in Weakly Supervised Semantic Parsing	Nitish Gupta, Sameer Singh and Matt Gardner	N/A	N/A
Multilingual Agreement for Multilingual Neural Machine Translation	Jian Yang, Yuwei Yin, Shuming Ma, Haoyang Huang, Dongdong Zhang, Zhoujun Li and Furu Wei	N/A	N/A
Robust Transfer Learning with Pretrained Language Models through Adapters	Wenjuan Han, Bo Pang and Ying Nian Wu	N/A	N/A
mTVR: Multilingual Moment Retrieval in Videos	Jie Lei, Tamara Berg and Mohit Bansal	N/A	N/A
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards	Shweta Yadav, Deepak Gupta, Asma Ben Abacha and Dina Demner-Fushman	N/A	N/A
Embracing Ambiguity: Shifting the Training Target of NLI Models	Johannes Mario Meissner, Napat Thumwanit, Saku Sugawara and Akiko Aizawa	N/A	N/A
Machine Translation into Low-resource Language Varieties	Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner and Yulia Tsvetkov	N/A	N/A
On Positivity Bias in Negative Reviews	Madhusudhan Aithal and Chenhao Tan	N/A	N/A
A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering	Tahira Naseem, Srinivas Ravishankar, Nandana Mihindukulasooriya, Ibrahim Abdelaziz, Young-Suk Lee, Pavan Kapanipathi, Salim Roukos, Alfio Gliozzo and Alexander Gray	N/A	N/A
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction	Quzhe Huang, Shengqi Zhu, Yansong Feng, Yuan Ye, Yuxuan Lai and Dongyan Zhao	N/A	N/A
More than Text: Multi-modal Chinese Word Segmentation	Dong Zhang, Zheng Hu, Shoushan Li, Hanqian Wu, Qiaoming Zhu and Guodong Zhou	N/A	N/A
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories	Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian McAuley and Harsh Jhamtani	N/A	N/A
Exploring Listwise Evidence Reasoning with T5 for Fact Verification	Kelvin Jiang, Ronak Pradeep and Jimmy Lin	N/A	N/A
Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning	Linzi Xing, Wen Xiao and Giuseppe Carenini	N/A	N/A
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization	Yixin Liu and Pengfei Liu	N/A	N/A
Avoiding Overlap in Data Augmentation for AMR-to-Text Generation	Wenchao Du and Jeffrey Flanigan	N/A	N/A
Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations	Lingzhi Wang, Xingshan Zeng and Kam-Fai Wong	N/A	N/A
Don’t Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models	Mahnaz Koupaee, Greg Durrett, Nathanael Chambers and Niranjan Balasubramanian	N/A	N/A
eMLM: A New Pre-training Objective for Emotion Related Tasks	Tiberiu Sosea and Cornelia Caragea	N/A	N/A
Discrete Cosine Transform as Universal Sentence Encoder	Nada Almarwani and Mona Diab	N/A	N/A
Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering	Kosuke Yamada, Ryohei Sasano and Koichi Takeda	N/A	N/A
A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space	Sara Rajaee and Mohammad Taher Pilehvar	N/A	N/A
Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation	Yinfei Yang, Ning Jin, Kuo Lin, Mandy Guo and Daniel Cer	N/A	N/A
Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter	Boaz Shmueli, Soumya Ray and Lun-Wei Ku	N/A	N/A
Don’t Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data	Rajat Bhatnagar, Ananya Ganesh and Katharina Kann	N/A	N/A
Automatic Fake News Detection: Are Models Learning to Reason?	Casper Hansen, Christian Hansen and Lucas Chaves Lima	N/A	N/A
Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction	Chenliang Li, Bin Bi, Ming Yan, Wei Wang and Songfang Huang	N/A	N/A
Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer	Sharmila Reddy Nangi, Niyati Chhaya, Sopan Khosla, Nikhil Kaushik and Harshit Nyati	N/A	N/A
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning	Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Trung Bui and Kyomin Jung	N/A	N/A
Issues with Entailment-based Zero-shot Text Classification	Tingting Ma, Jin-Ge Yao, Chin-Yew Lin and Tiejun Zhao	N/A	N/A
Difficulty-Aware Machine Translation Evaluation	Runzhe Zhan, Xuebo Liu, Derek F. Wong and Lidia S. Chao	N/A	N/A
A Span-based Dynamic Local Attention Model for Sequential Sentence Classification	Xichen Shang, Qianli Ma, Zhenxi Lin, Jiangyue Yan and Zipeng Chen	N/A	N/A
X-Fact: A New Benchmark Dataset for Multilingual Fact Checking	Ashim Gupta and Vivek Srikumar	N/A	N/A
Neural-Symbolic Commonsense Reasoner with Relation Predictors	Farhad Moghimifar, Lizhen Qu, Terry Yue Zhuo, Gholamreza Haffari and Mahsa Baktashmotlagh	N/A	N/A
In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering	Peter Vickers, Nikolaos Aletras, Emilio Monti and Loïc Barrault	N/A	N/A
N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR Hypotheses	Karthik Ganesan, Pakhi Bamdev, Jaivarsan B, Amresh Venugopal and Abhinav Tushar	N/A	N/A
Explainable Inference Over Grounding-Abstract Chains for Science Questions	Mokanarangan Thayaparan, Marco Valentino and Andre Freitas	N/A	N/A
LV-BERT: Exploiting Layer Variety for BERT	Weihao Yu, Zihang Jiang, Fei Chen, Qibin Hou and Jiashi Feng	N/A	N/A
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field	Xin Cong, Shiyao Cui, Bowen Yu, Tingwen Liu, Wang Yubin and Bin Wang	N/A	N/A
LUX (Linguistic aspects Under eXamination): Discourse Analysis for Automatic Fake News Classification	Lucas Azevedo, Mathieu d’Aquin, Brian Davis and Manel Zarrouk	N/A	N/A
Semantic Relation-aware Difference Representation Learning for Change Captioning	Yunbin Tu, Tingting Yao, Liang Li, Jiedong Lou, Shengxiang Gao, Zhengtao Yu and Chenggang Yan	N/A	N/A
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification	Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu and Jiliang Tang	N/A	N/A
From What to Why: Improving Relation Extraction with Rationale Graph	Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Xue Mengge, Tingwen Liu and Li Guo	N/A	N/A
SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics	Hitomi Yanaka, Koji Mineshima and Kentaro Inui	N/A	N/A
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade	Jiatao Gu and Xiang Kong	N/A	N/A
Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech	Wanzheng Zhu and Suma Bhat	N/A	N/A
REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training	Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, Feng-Lin Li and Liqiang Nie	N/A	N/A
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction	Jiawei Sheng, Shu Guo, Bowen Yu, Qian Li, Yiming Hei, Lihong Wang, Tingwen Liu and Hongbo Xu	N/A	N/A
Discovering Topics in Long-tailed Corpora with Causal Intervention	Xiaobao Wu, Chunping Li and Yishu Miao	N/A	N/A
WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections	Mingda Chen, Sam Wiseman and Kevin Gimpel	N/A	N/A
Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs	Jianyu Cai, Zhanqiu Zhang, Feng Wu and Jie Wang	N/A	N/A
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog	Feilong Chen, Xiuyi Chen, Fandong Meng, Peng Li and Jie Zhou	N/A	N/A
Joint Optimization of Tokenization and Downstream Model	Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki and Naoaki Okazaki	N/A	N/A
How does Attention Affect the Model?	Cheng Zhang, Qiuchi Li, Lingyu Hua and Dawei Song	N/A	N/A
Contrastive Attention for Automatic Chest X-ray Report Generation	Fenglin Liu, Changchang Yin, Xian Wu, Shen Ge, Ping Zhang and Xu Sun	N/A	N/A
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning	Fenglin Liu, Xuancheng Ren, Xian Wu, Bang Yang, Shen Ge and Xu Sun	N/A	N/A
Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning	Benjamin Minixhofer, Milan Gritta and Ignacio Iacobacci	N/A	N/A
Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling	Marcin Namysl, Sven Behnke and Joachim Kohler	N/A	N/A
Spatial Dependency Parsing for Semi-Structured Document Information Extraction	Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Sohee Yang and Minjoon Seo	N/A	N/A
Entity-Aware Abstractive Multi-Document Summarization	Hao Zhou, Weidong Ren, Gongshen Liu, Bo Su and Wei Lu	N/A	N/A
XeroAlign: Zero-shot cross-lingual transformer alignment	Milan Gritta and Ignacio Iacobacci	N/A	N/A
Link Prediction on N-ary Relational Facts: A Graph-based Approach	Quan Wang, Haifeng Wang, Yajuan Lyu and Yong Zhu	N/A	N/A
GLGE: A New General Language Generation Evaluation Benchmark	Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou and Nan Duan	N/A	N/A
AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization	Xinsong Zhang, Pengshuai Li and Hang Li	N/A	N/A
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation	Feilong Chen, Fandong Meng, Xiuyi Chen, Peng Li and Jie Zhou	N/A	N/A
Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory	YunHao Li, Yunyi Yang, Xiaojun Quan and Jianxing Yu	N/A	N/A
Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains	Yunzhi Yao, Shaohan Huang, Wenhui Wang, Li Dong and Furu Wei	N/A	N/A
DNN-driven Gradual Machine Learning for Aspect-term Sentiment Analysis	Murtadha Ahmed, Qun Chen, Yanyan Wang, Youcef Nafa, Zhanhuai Li and Tianyi Duan	N/A	N/A
OutFlip: Generating Examples for Unknown Intent Detection with Natural Language Attack	DongHyun Choi, Myeong Cheol Shin, EungGyun Kim and Dong Ryeol Shin	N/A	N/A
GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning	Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric Xing and Liang Lin	N/A	N/A
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction	Shuang Zeng, Yuting Wu and Baobao Chang	N/A	N/A
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction	Abhishek Nadgeri, Anson Bastos, Kuldeep Singh, Isaiah Onando Mulang, Johannes Hoffart, Saeedeh Shekarpour and Vijay Saraswat	N/A	N/A
Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling	Hao Fei, Shengqiong Wu, Yafeng Ren, Fei Li and Donghong Ji	N/A	N/A
Keep the Primary, Rewrite the Secondary: A Two-Stage Approach for Paraphrase Generation	Yixuan Su, David Vandyke, Simon Baker, Yan Wang and Nigel Collier	N/A	N/A
Contrastive Fine-tuning Improves Robustness for Neural Rankers	Xiaofei Ma, Cicero Nogueira Dos Santos and Andrew O. Arnold	N/A	N/A
Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking	Elliot Schumacher, James Mayfield and Mark Dredze	N/A	N/A
TellMeWhy: A Dataset for Answering Why-Questions in Narratives	Yash Kumar Lal, Nathanael Chambers, Raymond Mooney and Niranjan Balasubramanian	N/A	N/A
Dialogue in the Wild: Learning from a Deployed Role-Playing Game with Humans and Bots	Kurt Shuster, Jack Urbanek, Emily Dinan, Arthur Szlam and Jason Weston	N/A	N/A
Deep Learning against COVID-19: Respiratory Insufficiency Detection in Brazilian Portuguese Speech	Edresson Casanova, Lucas Gris, Augusto Camargo, Daniel Da Silva, Murilo Gazzola, Ester Sabino, Anna Levin, Arnaldo Candido Jr, Sandra Aluisio and Marcelo Finger	N/A	N/A
A Dialogue-based Information Extraction System for Medical Insurance Assessment	Shuang Peng, Mengdi Zhou, Minghui Yang, Haitao Mi, Shaosheng Cao, Zujie Wen, Teng Xu, Hongbin Wang and Lei Liu	N/A	N/A
Prediction or Comparison: Toward Interpretable Qualitative Reasoning	Mucheng Ren, Heyan Huang and Yang Gao	N/A	N/A
On Commonsense Cues in BERT for Solving Commonsense Tasks	Leyang Cui, Sijie Cheng, Yu Wu and Yue Zhang	N/A	N/A
Weakly Supervised Pre-Training for Multi-Hop Retriever	Yeon Seonwoo, Sang-Woo Lee, Ji-Hoon Kim, Jung-Woo Ha and Alice Oh	N/A	N/A
Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection	Jiawen Li, Shiwen Ni and Hung-Yu Kao	N/A	N/A
Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking	Heng-Da Xu, Zhongli Li, Qingyu Zhou, Chao Li, Zizhen Wang, Yunbo Cao, Heyan Huang and Xian-Ling Mao	N/A	N/A
TransSum: Translating Aspect and Sentiment Embeddings for Self-Supervised Opinion Summarization	Ke Wang and Xiaojun Wan	N/A	N/A
Hashing based Efficient Inference for Image-Text Matching	Rong-Cheng Tu, Lei Ji, Huaishao Luo, Botian Shi, Heyan Huang, Nan Duan and Xian-Ling Mao	N/A	N/A
Rationalization through Concepts	Diego Antognini and Boi Faltings	N/A	N/A
Parallel Attention Network with Sequence Matching for Video Grounding	Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou and Siow Mong Rick Goh	N/A	N/A
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training	Mingliang Zeng, Xu Tan, Rui Wang, Zeqian Ju, Tao Qin and Tie-Yan Liu	N/A	N/A
CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation	Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng and Minlie Huang	N/A	N/A
UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction	Huanqin Wu, Wei Liu, Lei Li, Dan Nie, Tao Chen, Feng Zhang and Di Wang	N/A	N/A
As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages	Wietse De Vries and Malvina Nissim	N/A	N/A
Can Cognate Prediction Be Modelled as a Low-Resource Machine Translation Task?	Clementine Fourrier, Rachel Bawden and Benoit Sagot	N/A	N/A
What if This Modified That? Syntactic Interventions with Counterfactual Embeddings	Mycal Tucker, Peng Qian and Roger Levy	N/A	N/A
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences	Shikhar Singh, Nuan Wen, Yu Hou, Pegah Alipoormolabashi, Te-lin Wu, Xuezhe Ma and Nanyun Peng	N/A	N/A
Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech	Yi-Ling Chung, Serra Sinem Tekirolu and Marco Guerini	N/A	N/A
SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification	Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri and Preslav Nakov	N/A	N/A
RealFormer: Transformer Likes Residual Attention	Ruining He, Anirudh Ravula, Bhargav Kanagal and Joshua Ainslie	N/A	N/A
Promoting Graph Awareness in Linearized Graph-to-Text Generation	Alexander Miserlis Hoyle, Ana Marasovi and Noah A. Smith	N/A	N/A
Predicting cross-linguistic adjective order with information gain	William Dyer, Richard Futrell, Zoey Liu and Greg Scontras	N/A	N/A
A Survey of Data Augmentation Approaches for NLP	Steven Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura and Eduard Hovy	N/A	N/A
Why Machine Reading Comprehension Models Learn Shortcuts?	Yuxuan Lai, Chen Zhang, Yansong Feng, Quzhe Huang and Dongyan Zhao	N/A	N/A
Handling Cross- and Out-of-Domain Samples in Thai Word Segmentation	Peerat Limkonchotiwat, Wannaphong Phatthiyaphaibun, Raheem Sarwar, Ekapol Chuangsuwanich and Sarana Nutanong	N/A	N/A
Sensei: Self-Supervised Sensor Name Segmentation	Jiaman Wu, Dezhi Hong, Rajesh Gupta and Jingbo Shang	N/A	N/A
Medical Code Assignment with Gated Convolution and Note-Code Interaction	Shaoxiong Ji, Shirui Pan and Pekka Marttinen	N/A	N/A
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering	Weiwen Xu, Huihui Zhang, Deng Cai and Wai Lam	N/A	N/A
Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency	Zekang Li, Jinchao Zhang, Zhengcong Fei, Yang Feng and Jie Zhou	N/A	N/A
Code Summarization with Structure-induced Transformer	Hongqiu Wu, Hai Zhao and Min Zhang	N/A	N/A
Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System	Sihong Liu, Jinchao Zhang, Keqing He, Weiran Xu and Jie Zhou	N/A	N/A
Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations	Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Yashar Mehdad, Robin Jia and Srinivasan Iyer	N/A	N/A
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding	Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin and Yefeng Zheng	N/A	N/A
Learning Algebraic Recombination for Compositional Generalization	Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng and Dongmei Zhang	N/A	N/A
Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?	Thang Pham, Trung Bui, Long Mai and Anh Nguyen	N/A	N/A
RevCore: Review-Augmented Conversational Recommendation	Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu and Xiaodong He	N/A	N/A
Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing	Qian Liu, Dejian Yang, Jiahui Zhang, Jiaqi Guo, Bin Zhou and Jian-Guang Lou	N/A	N/A
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning	Ximing Zhang, Qian-Wen Zhang, Zhao Yan, Ruifang Liu and Yunbo Cao	N/A	N/A
Unsupervised Energy-based Adversarial Domain Adaptation for Cross-domain Text Classification	Han Zou, Jianfei Yang and Xiaojian Wu	N/A	N/A
Survival text regression for time-to-event prediction in conversations	Christine De Kock and Andreas Vlachos	N/A	N/A
Unsupervised Knowledge Selection for Dialogue Generation	Xiuyi Chen, Feilong Chen, Fandong Meng, Peng Li and Jie Zhou	N/A	N/A
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages	Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava, Siva Reddy and Anders Sogaard	N/A	N/A
On-the-Fly Attention Modulation for Neural Generation	Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung and Yejin Choi	N/A	N/A
Enhanced Metaphor Detection via Incorporation of External Knowledge Based on Linguistic Theories	Chang Su, Kechun Wu and Yijiang Chen	N/A	N/A
Controlling Text Edition by Changing Answers of Specific Questions	Lei Sha, Patrick Hohenecker and Thomas Lukasiewicz	N/A	N/A
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction	Tianyu Gao, Xu Han, Yuzhuo Bai, Keyue Qiu, Zhiyu Xie, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun and Jie Zhou	N/A	N/A
GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation	Hongye Tan, Xiaoyue Wang, Yu Ji, Ru Li, Xiaoli Li, Zhiwei Hu, Yunxiao Zhao and Xiaoqi Han	N/A	N/A
Zero-shot Label-Aware Event Trigger and Argument Classification	Hongming Zhang, Haoyu Wang and Dan Roth	N/A	N/A
Incorporating Global Information in Local Attention for Knowledge Representation Learning	Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li and Ji Liu	N/A	N/A
MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation Extraction	Jingye Li, Kang Xu, Fei Li, Hao Fei, Yafeng Ren and Donghong Ji	N/A	N/A
Adversary-Aware Rumor Detection	Yun-Zhu Song, Yi-Syuan Chen, Yi-Ting Chang, Shao-Yu Weng and Hong-Han Shuai	N/A	N/A
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization	Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li and Jianbo Tang	N/A	N/A
Detecting Hallucinated Content in Conditional Neural Sequence Generation	Chunting Zhou, Graham Neubig, Jiatao Gu, Mona Diab, Francisco Guzman, Luke Zettlemoyer and Marjan Ghazvininejad	N/A	N/A
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters	Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang and Ming Zhou	N/A	N/A
Global Attention Decoder for Chinese Spelling Error Correction	Zhao Guo, Yuan Ni, Keqiang Wang, Wei Zhu and Guotong Xie	N/A	N/A
Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study	Deepanway Ghosal, Navonil Majumder, Rada Mihalcea and Soujanya Poria	N/A	N/A
Putting words into the system’s mouth: A targeted attack on neural machine translation using monolingual data poisoning	Jun Wang, Chang Xu, Francisco Guzman, Ahmed El-Kishky, Yuqing Tang, Benjamin Rubinstein and Trevor Cohn	N/A	N/A
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction	Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi and Hai Jin	N/A	N/A
PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support	Hao Sun, Zhenru Lin, Chujie Zheng, Siyang Liu and Minlie Huang	N/A	N/A
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge	Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee and Xiang Ren	N/A	N/A
Learning to Generate Questions by Learning to Recover Answer-containing Sentences	Seohyun Back, Akhil Kedia, Sai Chetan Chinthakindi, Haejun Lee and Jaegul Choo	N/A	N/A
Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing	Yitao Cai, Zhe Lin and Xiaojun Wan	N/A	N/A
Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach	Zhe Lin and Xiaojun Wan	N/A	N/A
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models	Junyi Li, Tianyi Tang, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan and Ji-Rong Wen	N/A	N/A
NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer	Fei Huang, Zikai Chen, Chen Henry Wu, Qihan Guo, Xiaoyan Zhu and Minlie Huang	N/A	N/A
HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management	Silin Gao, Ryuichi Takanobu, Wei Peng, Qun Liu and Minlie Huang	N/A	N/A
Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition	Ying Zhang, Fandong Meng, Yufeng Chen, Jinan Xu and Jie Zhou	N/A	N/A
BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks	Yannik Keller, Jan Mackensen and Steffen Eger	N/A	N/A
Event Detection as Graph Parsing	Jianye Xie, Haotong Sun, Junsheng Zhou, Weiguang Qu and Xinyu Dai	N/A	N/A
Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training	Yun Hu, Yeshuang Zhu, Jinchao Zhang, Changwen Zheng and Jie Zhou	N/A	N/A
Discriminative Reasoning for Document-level Relation Extraction	Wang Xu, Kehai Chen and Tiejun Zhao	N/A	N/A
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification	Chengcheng Han, Zeqiu Fan, Dongxiang Zhang, Minghui Qiu, Ming Gao and Aoying Zhou	N/A	N/A
Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint	Igor Vorona, Anh-Huy Phan, Alexander Panchenko and Andrzej Cichocki	N/A	N/A
Improving Unsupervised Extractive Summarization with Facet-Aware Modeling	Xinnian Liang, Shuangzhi Wu, Mu Li and Zhoujun Li	N/A	N/A
Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder	Yao Qiu, Jinchao Zhang and Jie Zhou	N/A	N/A
Multi-Granularity Contrasting for Cross-Lingual Pre-Training	Shicheng Li, Pengcheng Yang, Fuli Luo and Jun Xie	N/A	N/A
A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation	Dandan Huang, Kun Wang and Yue Zhang	N/A	N/A
Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene	Ruikun Luo, Guanhuan Huang and Xiaojun Quan	N/A	N/A
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion	Jie Zhou, Shengding Hu, Xin Lv, Cheng Yang, Zhiyuan Liu, Wei Xu, Jie Jiang, Juanzi Li and Maosong Sun	N/A	N/A
A Query-Driven Topic Model	Zheng Fang, Yulan He and Rob Procter	N/A	N/A
Gaussian Process based Deep Dyna-Q approach for Dialogue Policy Learning	Guanlin Wu, Wenqi Fang, Ji Wang, Jiang Cao, Weidong Bao, Yang Ping, Xiaomin Zhu and Zheng Wang	N/A	N/A
CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding	Dustin Wright and Isabelle Augenstein	N/A	N/A
Counter-Argument Generation by Attacking Weak Premises	Milad Alshomary, Shahbaz Syed, Arkajit Dhar, Martin Potthast and Henning Wachsmuth	N/A	N/A
Template-Based Named Entity Recognition Using BART	Leyang Cui, Yu Wu, Jian Liu, Sen Yang and Yue Zhang	N/A	N/A
“Does it Matter When I Think You Are Lying?” Improving Deception Detection by Integrating Interlocutor’s Judgements in Conversations	Huang-Cheng Chou, Woan-Shiuan Chien, Da-Cheng Juan and Chi-Chun Lee	N/A	N/A
High-Quality Dialogue Diversification by Intermittent Short Extension Ensembles	Zhiwen Tang, Hrishikesh Kulkarni and Grace Hui Yang	N/A	N/A
Structured Refinement for Sequential Labeling	Yiran Wang, Hiroyuki Shindo, Yuji Matsumoto and Taro Watanabe	N/A	N/A
End-to-End Construction of NLP Knowledge Graph	Ishani Mondal, Yufang Hou and Charles Jochim	N/A	N/A
Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate	Austin Botelho, Scott Hale and Bertie Vidgen	N/A	N/A
Studying the Evolution of Scientific Topics and their Relationships	Ana Sabina Uban, Cornelia Caragea and Liviu P. Dinu	N/A	N/A
A Mixed-Method Design Approach for Empirically Based Selection of Unbiased Data Annotators	Gautam Thakur, Janna Caspersen, Drahomira Herrmannova, Bryan Eaton and Jordan Burdette	N/A	N/A
An Evaluation of Disentangled Representation Learning for Texts	Krishnapriya Vishnubhotla, Graeme Hirst and Frank Rudzicz	N/A	N/A
Knowing More About Questions Can Help: Improving Calibration in Question Answering	Shujian Zhang, Chengyue Gong and Eunsol Choi	N/A	N/A
Enhancing Metaphor Detection by Gloss-based Interpretations	Hai Wan, Jinxia Lin, Jianfeng Du, Dawei Shen and Manrong Zhang	N/A	N/A
Evaluating Word Embeddings with Categorical Modularity	Silvia Casacuberta, Karina Halevy and Damian Blasi	N/A	N/A
Attention-based Contextual Language Model Adaptation for Speech Recognition	Richard Diehl Martinez, Scott Novotney, Ivan Bulyko, Ariya Rastrow, Andreas Stolcke and Ankur Gandhe	N/A	N/A
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation	Chao Wang, Judith Gaspers, Thi Ngoc Quynh Do and Hui Jiang	N/A	N/A
Pipeline Signed Japanese Translation Focusing on a Post-positional Particle Complement and Conjugation in a Low-resource Setting	Ken Yano and Akira Utsumi	N/A	N/A
Language-Mediated, Object-Centric Representation Learning	Ruocheng Wang, Jiayuan Mao, Samuel Gershman and Jiajun Wu	N/A	N/A
Entheos: A Multimodal Dataset for Studying Enthusiasm	Carla Viegas and Malihe Alikhani	N/A	N/A
Are Rotten Apples Edible? Challenging Commonsense Inference Ability with Exceptions	Nam Do and Ellie Pavlick	N/A	N/A
GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning	Zilong Zheng, Shuwen Qiu, Lifeng Fan, Yixin Zhu and Song-Chun Zhu	N/A	N/A
Automatic Document Sketching: Generating Drafts from Analogous Texts	Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang and Bill Dolan	N/A	N/A
Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading	Zhihan Zhou, Liqian Ma and Han Liu	N/A	N/A
Language-based General Action Template for Reinforcement Learning Agents	Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori and Asim Munawar	N/A	N/A
MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers	Wenhui Wang, Hangbo Bao, Shaohan Huang, Li Dong and Furu Wei	N/A	N/A
Attending via both Fine-tuning and Compressing	Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang and Liang He	N/A	N/A
Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement	Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng and Yuguang Chen	N/A	N/A
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval	Ruiyang Ren, Shangwen Lv, Yingqi Qu, Jing Liu, Wayne Xin Zhao, QiaoQiao She, Hua Wu, Haifeng Wang and Ji-Rong Wen	N/A	N/A
Neural Combinatory Constituency Parsing	Zhousi Chen, Longtu Zhang, Aizhan Imankulova and Mamoru Komachi	N/A	N/A
Learning Shared Semantic Space for Speech-to-Text Translation	Chi Han, Mingxuan Wang, Heng Ji and Lei Li	N/A	N/A
Empowering Language Understanding with Counterfactual Reasoning	Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang and Tat-Seng Chua	N/A	N/A
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources	Taolin Zhang, Chengyu Wang, Minghui Qiu, Bite Yang, Zerui Cai, Xiaofeng He and Jun Huang	N/A	N/A
Correcting Chinese Spelling Errors with Phonetic Pre-training	Ruiqing Zhang, Chao Pang, Chuanqiang Zhang, Shuohuan Wang, Zhongjun He, Yu Sun, Hua Wu and Haifeng Wang	N/A	N/A
Multi-Lingual Question Generation with Language Agnostic Language Model	Bingning Wang, Ting Yao, Weipeng Chen, Jingfang Xu and Xiaochuan Wang	N/A	N/A
On the Interplay Between Fine-tuning and Composition in Transformers	Lang Yu and Allyson Ettinger	N/A	N/A
Lifelong Learning of Topics and Domain-Specific Word Embeddings	Xiaorui Qin, Yuyin Lu, Yufu Chen and Yanghui Rao	N/A	N/A
Leveraging Argumentation Knowledge Graph for Interactive Argument Pair Identification	Jian Yuan, Zhongyu Wei, Donghua Zhao, Qi Zhang and Changjian Jiang	N/A	N/A
Confidence-Aware Scheduled Sampling for Neural Machine Translation	Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu and Jie Zhou	N/A	N/A
A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples	Yuxuan Wang, Wanxiang Che, Ivan Titov, Shay B. Cohen, Zhilin Lei and Ting Liu	N/A	N/A
P-Stance: A Large Dataset for Stance Detection in Political Domain	Yingjie Li, Tiberiu Sosea, Aditya Sawant, Ajith Jayaraman Nair, Diana Inkpen and Cornelia Caragea	N/A	N/A
WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation	Xiang Chen, Yue Cao and Xiaojun Wan	N/A	N/A
DocOIE: A Document-level Context-Aware Dataset for OpenIE	Kuicai Dong, Zhao Yilin, Aixin Sun, Jung-Jae Kim and Xiaoli Li	N/A	N/A
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection	Henry Weld, Guanghao Huang, Jean Lee, Tongshu Zhang, Kunze Wang, Xinghong Guo, Siqu Long, Josiah Poon and Caren Han	N/A	N/A
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection	Shirong Shen, Tongtong Wu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari and Sheng Bi	N/A	N/A
Dynamic Connected Networks for Chinese Spelling Check	Baoxin Wang, Wanxiang Che, Dayong Wu, Shijin Wang, Guoping Hu and Ting Liu	N/A	N/A
A Multi-Level Attention Model for Evidence-Based Fact Checking	Canasai Kruengkrai, Junichi Yamagishi and Xin Wang	N/A	N/A
RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer	Xingshan Zeng, Liangyou Li and Qun Liu	N/A	N/A
Training ELECTRA Augmented with Multi-word Selection	Jiaming Shen, Jialu Liu, Tianqi Liu, Cong Yu and Jiawei Han	N/A	N/A
REAM$\sharp$: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation	Jun Gao, Wei Bi, Ruifeng Xu and Shuming Shi	N/A	N/A
Relation Extraction with Type-aware Map Memories of Word Dependencies	Guimin Chen, Yuanhe Tian, Yan Song and Xiang Wan	N/A	N/A
PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning	Siqi Bao, Huang He, Fan Wang, Hua Wu, Haifeng Wang, Wenquan Wu, Zhen Guo, Zhibin Liu and Xinchao Xu	N/A	N/A
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs	Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu and Minlie Huang	N/A	N/A
OKGIT: Open Knowledge Graph Link Prediction with Implicit Types	Chandrahas and Partha Talukdar	N/A	N/A
Multimodal Fusion with Co-Attention Networks for Fake News Detection	Yang Wu, Pengwei Zhan, Yunjian Zhang, Liming Wang and Zhen Xu	N/A	N/A
Joint Multi-Decoder Framework with Hierarchical Pointer Network for Frame Semantic Parsing	Xudong Chen, Ce Zheng and Baobao Chang	N/A	N/A
H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction	Jhih-wei Chen, Tsu-Jui Fu, Chen-Kang Lee and Wei-Yun Ma	N/A	N/A
GEM: A General Evaluation Benchmark for Multimodal Tasks	Lin Su, Nan Duan, Edward Cui, Lei Ji, Chenfei Wu, Huaishao Luo, Yongfei Liu, Ming Zhong, Taroon Bharti and Arun Sacheti	N/A	N/A
Graph Relational Topic Model with Higher-order Graph Attention Auto-encoders	Qianqian Xie, Jimin Huang, Pan Du and Min Peng	N/A	N/A
Paths to Relation Extraction through Semantic Structure	Jonathan Yellin and Omri Abend	N/A	N/A
Dynamic and Multi-Channel Graph Convolutional Networks for Aspect-Based Sentiment Analysis	Shiguan Pang, Yun Xue, Zehao Yan, Weihao Huang and Jinhui Feng	N/A	N/A
Automatic Text Simplification for Social Good: Progress and Challenges	Sanja Stajner	N/A	N/A
Dialogue-oriented Pre-training	Yi Xu and Hai Zhao	N/A	N/A
GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction	Junyi Bian, Li Huang, Xiaodi Huang, Hong Zhou and Shanfeng Zhu	N/A	N/A
Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis	Guoxin Yu, Xiang Ao, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li and Qing He	N/A	N/A
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation	Zihan Liu, Genta Indra Winata and Pascale Fung	N/A	N/A
Two Parents, One Child: Dual Transfer for Low-Resource Neural Machine Translation	Meng Zhang, Liangyou Li and Qun Liu	N/A	N/A
Contrastive Aligned Joint Learning for Multilingual Summarization	Danqing Wang, Jiaze Chen, Hao Zhou, Xipeng Qiu and Lei Li	N/A	N/A
When Time Makes Sense: A Historically-Aware Approach to Targeted Sense Disambiguation	Kaspar Beelen, Federico Nanni, Mariona Coll Ardanuy, Kasra Hosseini, Giorgia Tolfo and Barbara McGillivray	N/A	N/A
Understanding Feature Focus in Multitask Settings for Lexico-semantic Relation Identification	Houssam Akhmouch, Gael Dias and Jose G. Moreno	N/A	N/A
Don’t Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification	Qiaoyang Luo, Lingqiao Liu, Yuhao Lin and Wei Zhang	N/A	N/A
Detecting Harmful Memes and Their Targets	Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov and Tanmoy Chakraborty	N/A	N/A
ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation	Kaushal Kumar Maurya, Maunendra Sankar Desarkar, Yoshinobu Kano and Kumari Deepshikha	N/A	N/A
HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications	Qiao Cheng, Juntao Liu, Xiaoye Qu, Jin Zhao, Jiaqing Liang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan and Yanghua Xiao	N/A	N/A
Learning Sequential and Structural Information for Source Code Summarization	YunSeok Choi, JinYeong Bak, CheolWon Na and Jee-Hyong Lee	N/A	N/A
Energy-based Unknown Intent Detection with Data Manipulation	Yawen Ouyang, Jiasheng Ye, Yu Chen, Xinyu Dai, Shujian Huang and Jiajun Chen	N/A	N/A
Automatic Rephrasing of Transcripts-based Action Items	Amir Cohen, Amir Kantor, Sagi Hilleli and Eyal Kolman	N/A	N/A
MergeDistill: Merging Language Models using Pre-trained Distillation	Simran Khanuja, Melvin Johnson and Partha Talukdar	N/A	N/A
On Sparsifying Encoder Outputs in Sequence-to-Sequence Models	Biao Zhang, Ivan Titov and Rico Sennrich	N/A	N/A
FrameNet-assisted Noun Compound Interpretation	Girishkumar Ponkiya, Diptesh Kanojia, Pushpak Bhattacharyya and Girish Palshikar	N/A	N/A
Hypernym Discovery via a Recurrent Mapping Model	Yuhang Bai, Richong Zhang, Fanshuang Kong, Junfan Chen and Yongyi Mao	N/A	N/A
On the Interaction of Belief Bias and Explanations	Ana Valeria Gonzalez, Anna Rogers and Anders Sogaard	N/A	N/A
Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction	Jinpeng Zhang, Baijun Ji, Nini Xiao, Xiangyu Duan, Min Zhang, Yangbin Shi and Weihua Luo	N/A	N/A
Exploring Unsupervised Pretraining Objectives for Machine Translation	Christos Baziotis, Ivan Titov, Alexandra Birch and Barry Haddow	N/A	N/A
Knowledge-Grounded Dialogue Generation with Term-level De-noising	Wen Zheng, Natasa Milic-Frayling and Ke Zhou	N/A	N/A
Inspecting the concept knowledge graph encoded by modern language models	Carlos Aspillaga, Marcelo Mendoza and Alvaro Soto	N/A	N/A
Latent Reasoning for Low-Resource Question Generation	Xinting Huang, Jianzhong Qi, Yu Sun and Rui Zhang	N/A	N/A
Probing Pre-Trained Language Models for Disease Knowledge	Israa Alghanmi, Luis Espinosa Anke and Steven Schockaert	N/A	N/A
AugVic: Exploiting BiText Vicinity for Low-Resource NMT	Tasnim Mohiuddin, M Saiful Bari and Shafiq Joty	N/A	N/A
Provably Secure Generative Linguistic Steganography	Siyu Zhang, Zhongliang Yang, Jinshuai Yang and Yongfeng Huang	N/A	N/A
Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL	Zhi Chen, Lu Chen, Hanqi Li, Ruisheng Cao, Da Ma, Mengyue Wu and Kai Yu	N/A	N/A
Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning	Fubang Zhao, Zhuoren Jiang, Yangyang Kang, Changlong Sun and Xiaozhong Liu	N/A	N/A
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference	Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu and Noam Koenigstein	N/A	N/A
How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact	Zhijing Jin, Geeticka Chauhan, Brian Tse, Mrinmaya Sachan and Rada Mihalcea	N/A	N/A
IgSEG: Image-guided Story Ending Generation	Qingbao Huang, Chuan Huang, Linzhang Mo, Jielong Wei, Yi Cai, Ho-fung Leung and Qing Li	N/A	N/A
Probabilistic Graph Reasoning for Natural Proof Generation	Changzhi Sun, Xinbo Zhang, Jiangjie Chen, Chun Gan, Yuanbin Wu, Jiaze Chen, Hao Zhou and Lei Li	N/A	N/A
Dialogue Graph Modeling for Conversational Machine Reading	Siru Ouyang, Zhuosheng Zhang and Hai Zhao	N/A	N/A
IndoCollex: A Testbed for Morphological Transformation of Indonesian Word Colloquialism	Haryo Akbarianto Wibowo, Made Nindyatama Nityasya, Afra Feyza Akyurek, Suci Fitriany, Alham Fikri Aji, Radityo Eko Prasojo and Derry Tanti Wijaya	N/A	N/A
Effective Cascade Dual-Decoder Model for Joint Entity and Relation Extraction	Lianbo Ma, Huimin Ren, Zhiwei Lin and Xiliang Zhang	N/A	N/A
Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling	Yutai Hou, Yongkui Lai, Cheng Chen, Wanxiang Che and Ting Liu	N/A	N/A
Insertion-based Tree Decoding	Denis Lukovnikov and Asja Fischer	N/A	N/A
Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions	Paras Bhatt and Anthony Rios	N/A	N/A
Defending Pre-trained Language Models from Adversarial Word Substitution Without Performance Sacrifice	Rongzhou Bao, Jiayi Wang and Hai Zhao	N/A	N/A
BERT-Proof Syntactic Structures: Investigating Errors in Discontinuous Constituency Parsing	Maximin Coavoux	N/A	N/A
Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures	Sebastien Montella, Lina M. Rojas Barahona and Johannes Heinecke	N/A	N/A
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering	Aditya Gupta, Jiacheng Xu, Shyam Upadhyay, Diyi Yang and Manaal Faruqui	N/A	N/A
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification	Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta and Kai-Wei Chang	N/A	N/A
A Joint Model for Structure-based News Genre Classification with Application to Text Summarization	Zeyu Dai and Ruihong Huang	N/A	N/A
Representing Syntax and Composition with Geometric Transformations	Lorenzo Bertolini, Julie Weeds, David Weir and Qiwei Peng	N/A	N/A
To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text	Matt Wilber, William Timkey and Marten Van Schijndel	N/A	N/A
AgreeSum: Agreement-Oriented Multi-Document Summarization	Richard Yuanzhe Pang, Adam Lelkes, Vinh Tran and Cong Yu	N/A	N/A
BERT Busters: Outlier Dimensions that Disrupt Transformers	Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers and Anna Rumshisky	N/A	N/A
“We will Reduce Taxes” - Identifying Election Pledges with Language Models	Tommaso Fornaciari, Dirk Hovy, Elin Naurin, Julia Runeson, Robert Thomson and Pankaj Adhikari	N/A	N/A
WeaQA: Weak Supervision via Captions for Visual Question Answering	Pratyay Banerjee, Tejas Gokhale, Yezhou Yang and Chitta Baral	N/A	N/A
How well do you know your summarization datasets?	Priyam Tejaswin, Dhruv Naik and Pengfei Liu	N/A	N/A
Multilingual Translation from Denoising Pre-Training	Yuqing Tang, Chau Tran, Xian Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu and Angela Fan	N/A	N/A
Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD	Zeeshan Ali Sayyed and Daniel Dakota	N/A	N/A
Generating Informative Conclusions for Argumentative Texts	Shahbaz Syed, Khalid Al Khatib, Milad Alshomary, Henning Wachsmuth and Martin Potthast	N/A	N/A
Substructure Substitution: Structured Data Augmentation for NLP	Haoyue Shi, Karen Livescu and Kevin Gimpel	N/A	N/A
Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy	Vanessa Lopez, Nagesh Yadav, Gabriele Picco, Inge Vejsbjerg, Eoin Carrol, Seamus Brady, Marco Luca Sbodio, Lam Thanh Hoang, Miao Wei and John Segrave	N/A	N/A
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax	Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban and Ali Ghodsi	N/A	N/A
It’s All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning	Alexey Tikhonov and Max Ryabinin	N/A	N/A
Biomedical Interpretable Entity Representations	Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron Wallace and Kush Varshney	N/A	N/A
Learning Robust Latent Representations for Controllable Speech Synthesis	Shakti Kumar, Jithin Pradeep and Hussain Zaidi	N/A	N/A
How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation	Marco Gaido, Beatrice Savoldi, Luisa Bentivogli, Matteo Negri and Marco Turchi	N/A	N/A
On the Ethical Limits of Natural Language Processing on Legal Text	Dimitrios Tsarapatsanis and Nikolaos Aletras	N/A	N/A
Transforming Term Extraction: Transformer-Based Approaches to Multilingual Term Extraction Across Domains	Christian Lang, Lennart Wachowiak, Barbara Heinisch and Dagmar Gromann	N/A	N/A
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language	Oyvind Tafjord, Bhavana Dalvi and Peter Clark	N/A	N/A
Probing Image-Language Transformers for Verb Understanding	Lisa Anne Hendricks and Aida Nematzadeh	N/A	N/A
Implications of Using Internet Sting Corpora to Approximate Underage Victims	Tatiana Ringenberg, Kathryn Seigfried-Spellar and Julia Rayz	N/A	N/A
Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon	Shuai Wang, Guangyi Lv, Sahisnu Mazumder and Bing Liu	N/A	N/A
Analyzing Online Political Advertisements	Danae Sanchez Villegas, Saeid Mokaram and Nikolaos Aletras	N/A	N/A
Probing Multi-modal Machine Translation with Pre-trained Language Model	Kong Yawei and Kai Fan	N/A	N/A
The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus	Samia Touileb and Jeremy Barnes	N/A	N/A
A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification	Sweta Agrawal, Weijia Xu and Marine Carpuat	N/A	N/A
Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference	Hai Hu, He Zhou, Zuoyu Tian, Yiwen Zhang, Yina Patterson, Yanting Li, Yixin Nie and Kyle Richardson	N/A	N/A
Using surprisal and fMRI to map the neural bases of broad and local contextual prediction during natural language comprehension	Shohini Bhattasali and Philip Resnik	N/A	N/A
Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models	Laura Perez-Mayos, Alba Taboas Garcia, Simon Mille, and Leo Wanner	N/A	N/A
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level	Ruiqi Zhong, Dhruba Ghosh, Dan Klein and Jacob Steinhardt	N/A	N/A
Named Entity Recognition through Deep Representation Learning and Weak Supervision	Jerrod Parker and Shi Yu	N/A	N/A
Explaining NLP Models via Minimal Contrastive Editing (MiCE)	Alexis Ross, Ana Marasovi and Matthew Peters	N/A	N/A
Differential Privacy for Text Analytics via Natural Text Sanitization	Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun and Sherman S. M. Chow	N/A	N/A
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation	Prakhar Gupta, Yulia Tsvetkov and Jeffrey Bigham	N/A	N/A
Leveraging Abstract Meaning Representation for Knowledge Base Question Answering	Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander Gray, Ramon Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue, Dinesh Garg, Alfio Gliozzo, Sairam Gurajada, Hima Karanam, Naweed Khan, Dinesh Khandelwal, Young-Suk Lee, Yunyao Li, Francois Luus, Ndivhuwo Makondo, Nandana Mihindukulasooriya, Tahira Naseem, Sumit Neelam, Lucian Popa, Revanth Gangi Reddy, Ryan Riegel, Gaetano Rossiello, Udit Sharma, G P Shrivatsa Bhargav and Mo Yu	N/A	N/A
Perceptual Models of Machine-Edited Text	Elizabeth Merkhofer, Monica-Ann Mendoza, Rebecca Marvin and John Henderson	N/A	N/A
Scaling Within Document Coreference to Long Texts	Raghuveer Thirukovalluru, Nicholas Monath, Kumar Shridhar, Manzil Zaheer, Mrinmaya Sachan and Andrew McCallum	N/A	N/A
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer	Machel Reid and Victor Zhong	N/A	N/A
Constructing Flow Graphs from Procedural Cybersecurity Texts	Kuntal Kumar Pal, Kazuaki Kashihara, Pratyay Banerjee, Swaroop Mishra, Ruoyu Wang and Chitta Baral	N/A	N/A
Cluster-Former: Clustering-based Sparse Transformer for Question Answering	Shuohang Wang, Luowei Zhou, Zhe Gan, Yen-Chun Chen, Yuwei Fang, Siqi Sun, Yu Cheng and Jingjing Liu	N/A	N/A
Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction	Elsbeth Turcan, Shuai Wang, Rishita Anubhai, Kasturi Bhattacharjee, Yaser Al-Onaizan and Smaranda Muresan	N/A	N/A
The Utility and Interplay of Gazetteers and Entity Segmentation for Named Entity Recognition in English	Oshin Agarwal and Ani Nenkova	N/A	N/A
On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction	Christian Gomes, Marcos Goncalves, Leonardo Rocha and Sergio Canuto	N/A	N/A
Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters	Nghia Ngo Trung, Duy Phung and Thien Huu Nguyen	N/A	N/A
Learning Contextualized Knowledge Structures for Commonsense Reasoning	Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka and Xiang Ren	N/A	N/A
Analyzing Stereotypes in Generative Text Inference Tasks	Anna Sotnikova, Yang Trista Cao, Hal Daume Iii and Rachel Rudinger	N/A	N/A
HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction	Liliang Ren, Chenkai Sun, Heng Ji and Julia Hockenmaier	N/A	N/A
Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text	Kunwoo Park, Zhufeng Pan and Jungseock Joo	N/A	N/A
A Formidable Ability: Detecting Adjectival Extremeness with DSMs	Farhan Samir, Barend Beekhuizen and Suzanne Stevenson	N/A	N/A
Compositionality of Complex Graphemes in the Undeciphered Proto-Elamite Script using Image and Text Embedding Models	Logan Born, Kathryn Kelley, M. Willis Monroe and Anoop Sarkar	N/A	N/A
Unsupervised Label Refinement Improves Dataless Text Classification	Zewei Chu, Karl Stratos and Kevin Gimpel	N/A	N/A
Prompting Contrastive Explanations for Commonsense Reasoning Tasks	Bhargavi Paranjape, Julian Michael, Marjan Ghazvininejad, Hannaneh Hajishirzi and Luke Zettlemoyer	N/A	N/A
SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks	Gustavo Sousa, Daniel Carlos Guimaraes Pedronette, Joao Paulo Papa and Ivan Rizzo Guilherme	N/A	N/A
Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring	Yichi Zhang and Joyce Chai	N/A	N/A
Marked Attribute Bias in Natural Language Inference	Hillary Dawkins	N/A	N/A
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding	Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze and Luke Zettlemoyer	N/A	N/A
Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence	Andrew Halterman, Katherine Keith, Sheikh Sarwar and Brendan O’Connor	N/A	N/A
Memory-Efficient Differentiable Transformer Architecture Search	Yuekai Zhao, Li Dong, Yelong Shen, Zhihua Zhang, Furu Wei and Weizhu Chen	N/A	N/A
On the Copying Behaviors of Pre-Training for Neural Machine Translation	Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi and Zhaopeng Tu	N/A	N/A
Grounding ‘Grounding’ in NLP	Khyathi Raghavi Chandu, Yonatan Bisk and Alan W Black	N/A	N/A
MLMLM: Link Prediction with Mean Likelihood Masked Language Model	Louis Clouatre, Philippe Trempe, Amal Zouaq and Sarath Chandar	N/A	N/A
Effective Batching for Recurrent Neural Network Grammars	Hiroshi Noji and Yohei Oseki	N/A	N/A
Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction	Kosuke Yamada, Ryohei Sasano and Koichi Takeda	N/A	N/A
Enhancing Chinese Word Segmentation via Pseudo Labels for Practicability	Kaiyu Huang, Junpeng Liu, Degen Huang, Deyi Xiong, Zhuang Liu and Jinsong Su	N/A	N/A
Logic-Consistency Text Generation from Semantic Parses	Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu and Rui Zhang	N/A	N/A
Inducing Semantic Roles Without Syntax	Julian Michael and Luke Zettlemoyer	N/A	N/A
Plot and Rework: Modeling Storylines for Visual Storytelling	Chi-yang Hsu, Yun-Wei Chu, Ting-Hao Huang and Lun-Wei Ku	N/A	N/A
Disentangled Code Representation Learning for Multiple Programming Languages	Jingfeng Zhang, Haiwen Hong, Yin Zhang, Yao Wan, Ye Liu and Yulei Sui	N/A	N/A
Exploring Self-Identified Counseling Expertise in Online Support Forums	Allison Lahnala, Yuntian Zhao, Charles Welch, Jonathan K. Kummerfeld, Lawrence C An, Kenneth Resnicow, Rada Mihalcea and Veronica Perez-Rosas	N/A	N/A
An Investigation of Suitability of Pre-Trained Language Models for Dialogue Generation – Avoiding Discrepancies	Yan Zeng and Jian-Yun Nie	N/A	N/A
Learning to Sample Replacements for ELECTRA Pre-Training	Yaru Hao, Li Dong, Hangbo Bao, Ke Xu and Furu Wei	N/A	N/A
Reordering Examples Helps during Priming-based Few-Shot Learning	Sawan Kumar and Partha Talukdar	N/A	N/A
Constrained Labeled Data Generation for Low-Resource Named Entity Recognition	Ruohao Guo and Dan Roth	N/A	N/A
He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation	Aparna Garimella, Akhash Amarnath, Kiran Kumar, Akash Pramod Yalla, Anandhavelu N, Niyati Chhaya and Balaji Vasan Srinivasan	N/A	N/A
Using Social and Linguistic Information to Adapt Pretrained Representations for Political Perspective Identification	Chang Li and Dan Goldwasser	N/A	N/A
Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning	Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang and Daxin Jiang	N/A	N/A
PROST: Physical Reasoning about Objects through Space and Time	Stephane Aroca-Ouellette, Cory Paik, Alessandro Roncone and Katharina Kann	N/A	N/A
Revisiting the Evaluation of End-to-end Event Extraction	Shun Zheng, Wei Cao, Wei Xu and Jiang Bian	N/A	N/A
HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation	Ayan Sengupta, Sourabh Kumar Bhattacharjee, Tanmoy Chakraborty and Md. Shad Akhtar	N/A	N/A
Semi-Supervised Data Programming with Subset Selection	Ayush Maheshwari, Oishik Chatterjee, Krishnateja Killamsetty, Ganesh Ramakrishnan and Rishabh Iyer	N/A	N/A
Fingerprinting Fine-tuned Language Models in the Wild	Nirav Diwan, Tanmoy Chakraborty and Zubair Shafiq	N/A	N/A
Automatic Construction of Sememe Knowledge Bases via Dictionaries	Fanchao Qi, Yangyi Chen, Fengyu Wang, Zhiyuan Liu, Xiao Chen and Maosong Sun	N/A	N/A
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages	Tahmid Hasan, Abhik Bhattacharjee, Md. Saiful Islam, Kazi Mubasshir, Yuan-Fang Li, Yong-Bin Kang, M. Sohel Rahman and Rifat Shahriyar	N/A	N/A
Investigating Memorization of Conspiracy Theories in Text Generation	Sharon Levy, Michael Saxon and William Yang Wang	N/A	N/A
A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis	Yang Wu, Zijie Lin, Yanyan Zhao, Bing Qin and Li-Nan Zhu	N/A	N/A
What Would a Teacher Do? Predicting Future Talk Moves	Ananya Ganesh, Martha Palmer and Katharina Kann	N/A	N/A
Cross-Domain Review Generation for Aspect-Based Sentiment Analysis	Jianfei Yu, Chenggong Gong and Rui Xia	N/A	N/A
On the Language Coverage Bias for Neural Machine Translation	Shuo Wang, Zhaopeng Tu, Zhixing Tan, Shuming Shi, Maosong Sun and Yang Liu	N/A	N/A
Named Entity Recognition via Noise Aware Training Mechanism with Data Filter	Xiusheng Huang, Yubo Chen, Shun Wu, Jun Zhao, Yuantao Xie and Weijian Sun	N/A	N/A
A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information	Yiqi Tong, Yidong Chen and Xiaodong Shi	N/A	N/A
EBERT: Efficient BERT Inference with Dynamic Structured Pruning	Zejian Liu, Fanrong Li, Gang Li and Jian Cheng	N/A	N/A
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation	Peng Wang, Junyang Lin, An Yang, Chang Zhou, Yichang Zhang, Jingren Zhou and Hongxia Yang	N/A	N/A
TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation	Shizhe Diao, Xinwei Shen, Kashun Shum, Yan Song and Tong Zhang	N/A	N/A
John praised Mary because he? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs	he	N/A	N/A
Enhancing the Open-Domain Dialogue Evaluation in Latent Space	Zhangming Chan, Lemao Liu, Juntao Li, Haisong Zhang, Dongyan Zhao, Shuming Shi and Rui Yan	N/A	N/A
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference	Wenpeng Yin, Dragomir Radev and Caiming Xiong	N/A	N/A
Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan	Jordi Armengol-Estape, Casimiro Pio Carrino, Carlos Rodriguez-Penagos, Ona De Gibert Bonet, Carme Armentano-Oller, Aitor Gonzalez-Agirre, Maite Melero and Marta Villegas	N/A	N/A
Language Models Use Monotonicity to Assess NPI Licensing	Jaap Jumelet, Milica Denic, Jakub Szymanik, Dieuwke Hupkes and Shane Steinert-Threlkeld	N/A	N/A
Slot Transferability for Cross-domain Slot Filling	Hengtong Lu, Zhuoxin Han, Caixia Yuan, Xiaojie Wang, Shuyu Lei, Huixing Jiang and Wei Wu	N/A	N/A
Word Graph Guided Summarization for Radiology Findings	Jinpeng Hu, Jianling Li, Zhihong Chen, Yaling Shen, Yan Song, Xiang Wan and Tsung-Hui Chang	N/A	N/A
Generalized Supervised Attention for Text Generation	Yixian Liu, Liwen Zhang, Xinyu Zhang, Yong Jiang, Yue Zhang and Kewei Tu	N/A	N/A
Automatically Select Emotion for Response via Personality-affected Emotion Transition	Zhiyuan Wen, Jiannong Cao, Ruosong Yang, Shuaiqi Liu and Jiaxing Shen	N/A	N/A
Phrase-Level Action Reinforcement Learning for Neural Dialog Response Generation	Takato Yamazaki and Akiko Aizawa	N/A	N/A
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights	Devaraja Adiga, Rishabh Kumar, Amrith Krishna, Preethi Jyothi, Ganesh Ramakrishnan and Pawan Goyal	N/A	N/A
DialogSum: A Real-Life Scenario Dialogue Summarization Dataset	Yulong Chen, Yang Liu, Liang Chen and Yue Zhang	N/A	N/A
What Did You Refer to? Evaluating Co-References in Dialogue	Wei-Nan Zhang, Yue Zhang, Hanlin Tang, Zhengyu Zhao, Caihai Zhu and Ting Liu	N/A	N/A
Controllable Abstractive Dialogue Summarization with Sketch Supervision	Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp and Caiming Xiong	N/A	N/A
Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification	Neha Srikanth and Junyi Jessy Li	N/A	N/A
Diagnosing Transformers in Task-Oriented Semantic Parsing	Shrey Desai and Ahmed Aly	N/A	N/A
More Parameters? No Thanks!	Zeeshan Khan, Kartheek Akella, Vinay Namboodiri and C V Jawahar	N/A	N/A
More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods	Thomas Bott, Dominik Schlechtweg and Sabine Schulte Im Walde	N/A	N/A
CoDesc: A Large Code-Description Parallel Dataset	Masum Hasan, Tanveer Muttaqueen, Abdullah Al Ishtiaq, Kazi Sajeed Mehrab, Md. Mahim Anjum Haque, Tahmid Hasan, Wasi Ahmad, Anindya Iqbal and Rifat Shahriyar	N/A	N/A
Better Chinese Sentence Segmentation with Reinforcement Learning	Srivatsan Srinivasan and Chris Dyer	N/A	N/A
Reader-Guided Passage Reranking for Open-Domain Question Answering	Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han and Weizhu Chen	N/A	N/A
LenAtten: An Effective Length Controlling Unit For Text Summarization	Zhongyi Yu, Zhenghao Wu, Hao Zheng, Zhe XuanYuan, Jefferson Fong and Weifeng Su	N/A	N/A
Using Word Embeddings to Analyze Teacher Evaluations: An Application to a Filipino Education Non-Profit Organization	Francesca Vera	N/A	N/A
Relation Classification with Entity Type Restriction	Shengfei Lyu and Huanhuan Chen	N/A	N/A
Decoupling Adversarial Training for Fair NLP	Xudong Han, Timothy Baldwin and Trevor Cohn	N/A	N/A
GO FIGURE: A Meta Evaluation of Factuality in Summarization	Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi and Jianfeng Gao	N/A	N/A
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models	Rakesh Chada, Pradeep Natarajan, Darshan Fofadiya and Prathap Ramachandra	N/A	N/A
Benchmarking Robustness of Machine Reading Comprehension Models	Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu and Shijin Wang	N/A	N/A
Improving BERT with Syntax-aware Local Attention	Zhongli Li, Qingyu Zhou, Chao Li, Ke Xu and Yunbo Cao	N/A	N/A
Boundary Detection with BERT for Span-level Emotion Cause Analysis	Xiangju Li, Wei Gao, Shi Feng, Yifei Zhang and Daling Wang	N/A	N/A
Can the Transformer Learn Nested Recursion with Symbol Masking?	Jean-Philippe Bernardy, Adam Ek and Vladislav Maraev	N/A	N/A
Evaluating the Efficacy of Summarization Evaluation across Languages	Fajri Koto, Jey Han Lau and Timothy Baldwin	N/A	N/A
Investigating Text Simplification Evaluation	Laura Vasquez-Rodriguez, Matthew Shardlow, Piotr Przybya and Sophia Ananiadou	N/A	N/A
Frustratingly Simple Few-Shot Slot Tagging	Jianqiang Ma, Zeyu Yan, Chang Li and Yang Zhang	N/A	N/A
Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation	Shun-Po Chuang, Yung-Sung Chuang, Chih-Chiang Chang and Hung-yi Lee	N/A	N/A
Fusing Context Into Knowledge Graph for Commonsense Question Answering	Yichong Xu, Chenguang Zhu, Ruochen Xu, Yang Liu, Michael Zeng and Xuedong Huang	N/A	N/A
Grammar-Constrained Neural Semantic Parsing with LR Parsers	Artur Baranowski and Nico Hochgeschwender	N/A	N/A
Grammar-Based Patches Generation for Automated Program Repair	Yu Tang, Long Zhou, Ambrosio Blanco, Shujie Liu, Furu Wei, Ming Zhou and Muyun Yang	N/A	N/A
Exploiting Position Bias for Robust Aspect Sentiment Classification	Fang Ma, Chen Zhang and Dawei Song	N/A	N/A
Jointly Identifying Rhetoric and Implicit Emotions via Multi-Task Learning	Xin Chen, Zhen Hai, Deyu Li, Suge Wang and Dian Wang	N/A	N/A
Encouraging Neural Machine Translation to Satisfy Terminology Constraints	Melissa Ailem, Jingshu Liu and Raheel Qader	N/A	N/A
BertGCN: Transductive Text Classification by Combining GNN and BERT	Yuxiao Lin, Yuxian Meng, Xiaofei Sun, Qinghong Han, Kun Kuang, Jiwei Li and Fei Wu	N/A	N/A
UserAdapter: Few-Shot User Learning in Sentiment Analysis	Wanjun Zhong, Duyu Tang, Jiahai Wang, Jian Yin and Nan Duan	N/A	N/A
Learning Slice-Aware Representations with Mixture of Attentions	Cheng Wang, Sungjin Lee, Sunghyun Park, Han Li, Young-Bum Kim and Ruhi Sarikaya	N/A	N/A
Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning	Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu and Maosong Sun	N/A	N/A
Fusing Label Embedding into BERT: An Efficient Improvement for Text Classification	Yijin Xiong, Yukun Feng, Hao Wu, Hidetaka Kamigaito and Manabu Okumura	N/A	N/A
How Reliable are Model Diagnostics?	Vamsi Aribandi, Yi Tay and Donald Metzler	N/A	N/A
Cross-Lingual Cross-Domain Nested Named Entity Evaluation on English Web Texts	Barbara Plank	N/A	N/A
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation	Rui Jiao, Zonghan Yang, Maosong Sun and Yang Liu	N/A	N/A
End-to-End Self-Debiasing Framework for Robust NLU Training	Abbas Ghaddar, Phillippe Langlais, Mehdi Rezagholizadeh and Ahmad Rashid	N/A	N/A
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution	Severine Verlinden, Klim Zaporojets, Johannes Deleu, Thomas Demeester and Chris Develder	N/A	N/A
Annotation and Evaluation of Coreference Resolution in Screenplays	Sabyasachee Baruah, Sandeep Nallan Chakravarthula and Shrikanth Narayanan	N/A	N/A
RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations	Pedro Colon-Hernandez, Yida Xin, Henry Lieberman, Catherine Havasi, Cynthia Breazeal and Peter Chin	N/A	N/A
Fusion: Towards Automated ICD Coding via Feature Compression	Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun and Fenglong Ma	N/A	N/A
Is Human Scoring the Best Criteria for Summary Evaluation?	Oleg Vasilyev and John Bohannon	N/A	N/A
Assessing Dialogue Systems with Distribution Distances	Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian and Lemao Liu	N/A	N/A
Structure-Aware Pre-Training for Table-to-Text Generation	Xinyu Xing and Xiaojun Wan	N/A	N/A
A Multi-Task Learning Framework for Multi-Target Stance Detection	Yingjie Li and Cornelia Caragea	N/A	N/A
MA-BERT: Learning Representation by Incorporating Multi-Attribute Knowledge in Transformers	You Zhang, Jin Wang, Liang-Chih Yu and Xuejie Zhang	N/A	N/A
Event Extraction from Historical Texts: A New Dataset for Black Rebellions	Viet Lai, Minh Van Nguyen, Heidi Kaufman and Thien Huu Nguyen	N/A	N/A
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics	Luyang Kong, Christopher Winestock and Parminder Bhatia	N/A	N/A
Stylized Story Generation with Style-Guided Planning	Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan and Minlie Huang	N/A	N/A
AdaST: Dynamically Adapting Encoder States in the Decoder for End-to-End Speech-to-Text Translation	Wuwei Huang, Dexin Wang and Deyi Xiong	N/A	N/A
A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction	Kohei Makino, Makoto Miwa and Yutaka Sasaki	N/A	N/A
Enhancing Language Generation with Effective Checkpoints of Pre-trained Language Model	Jeonghyeok Park and Hai Zhao	N/A	N/A
Transformer-Exclusive Cross-Modal Representation for Vision and Language	Andrew Shin and Takuya Narihira	N/A	N/A
Progressive Multi-Granularity Training for Non-Autoregressive Translation	Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao and Zhaopeng Tu	N/A	N/A
Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?	Zae Myung Kim, Laurent Besacier, Vassilina Nikoulina and Didier Schwab	N/A	N/A
Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT	Won Ik Cho, Emmanuele Chersoni, Yu-Yin Hsu and Chu-Ren Huang	N/A	N/A
Language Tags Matter for Zero-Shot Neural Machine Translation	Liwei Wu, Shanbo Cheng, Mingxuan Wang and Lei Li	N/A	N/A
Retrieval Enhanced Model for Commonsense Generation	Han Wang, Yang Liu, Chenguang Zhu, Linjun Shou, Ming Gong, Yichong Xu and Michael Zeng	N/A	N/A
Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance	Dan Su, Tiezheng Yu and Pascale Fung	N/A	N/A
Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment	Ashwinkumar Ganesan, Francis Ferraro and Tim Oates	N/A	N/A
Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph	Rui Liu, Zheng Lin, Yutong Tan and Weiping Wang	N/A	N/A
Manifold Adversarial Augmentation for Neural Machine Translation	Guandan Chen, Kai Fan, Kaibo Zhang, Boxing Chen and Zhongqiang Huang	N/A	N/A
Is the Lottery Fair? Evaluating Winning Tickets Across Demographics	Victor Petren Bach Hansen and Anders Sogaard	N/A	N/A
SSMix: Saliency-Based Span Mixup for Text Classification	Soyoung Yoon, Gyuwan Kim and Kyumin Park	N/A	N/A
DoT: An efficient Double Transformer for NLP tasks with tables	Syrine Krichene, Thomas Muller and Julian Eisenschlos	N/A	N/A
Grammatical Error Correction as GAN-like Sequence Labeling	Kevin Parnow, Zuchao Li and Hai Zhao	N/A	N/A
Neural Entity Recognition with Gazetteer based Fusion	Qing Sun and Parminder Bhatia	N/A	N/A
Figurative Language in Recognizing Textual Entailment	Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak and Smaranda Muresan	N/A	N/A
An Exploratory Analysis of the Relation between Offensive Language and Mental Health	Ana-Maria Bucur, Marcos Zampieri and Liviu P. Dinu	N/A	N/A
Do Language Models Perform Generalizable Commonsense Inference?	Peifeng Wang, Filip Ilievski, Muhao Chen and Xiang Ren	N/A	N/A
Few-Shot Upsampling for Protest Size Detection	Andrew Halterman and Benjamin J. Radford	N/A	N/A
Modeling the Unigram Distribution	Irene Nikkarinen, Tiago Pimentel, Damian Blasi and Ryan Cotterell	N/A	N/A
On the Lack of Robust Interpretability of Neural Text Classifiers	Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cedric Archambeau, Sanjiv Das and Krishnaram Kenthapadi	N/A	N/A
Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction	Sriram Pingali, Shweta Yadav, Pratik Dutta and Sriparna Saha	N/A	N/A
Summary Grounded Conversation Generation	Chulaka Gunasekara, Guy Feigenblat, Benjamin Sznajder, Sachindra Joshi and David Konopnicki	N/A	N/A
On the Gap between Adoption and Understanding in NLP	Federico Bianchi and Dirk Hovy	N/A	N/A
Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification	John Dougrez-Lewis, Maria Liakata, Elena Kochkina and Yulan He	N/A	N/A
Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors	Ramy Eskander, Cass Lowry, Sujay Khandagale, Francesca Callejas, Judith Klavans, Maria Polinsky and Smaranda Muresan	N/A	N/A
Predicting in-hospital mortality by combining clinical notes with time-series data	Iman Deznabi, Mohit Iyyer and Madalina Fiterau	N/A	N/A
Sequence Models for Computational Etymology of Borrowings	Winston Wu, Kevin Duh and David Yarowsky	N/A	N/A
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation	Varun Gangal, Harsh Jhamtani, Eduard Hovy and Taylor Berg-Kirkpatrick	N/A	N/A
New Dataset and Strong Baselines for the Grammatical Error Correction of Russian	Viet Anh Trinh and Alla Rozovskaya	N/A	N/A
Effective Attention Sheds Light On Interpretability	Kaiser Sun and Ana Marasovi	N/A	N/A
On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers	Tianchu Ji, Shraddhan Jain, Michael Ferdman, Peter Milder, H. Andrew Schwartz and Niranjan Balasubramanian	N/A	N/A
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?	Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal and Kai-Wei Chang	N/A	N/A
Answer Generation for Retrieval-based Question Answering Systems	Chao-Chun Hsu, Eric Lind, Luca Soldaini and Alessandro Moschitti	N/A	N/A
Federated Chinese Word Segmentation with Global Character Associations	Yuanhe Tian, Guimin Chen, Han Qin and Yan Song	N/A	N/A
PSED: A Dataset for Selecting Emphasis in Presentation Slides	Amirreza Shirani, Giai Tran, Hieu Trinh, Franck Dernoncourt, Nedim Lipka, Jose Echevarria, Thamar Solorio and Paul Asente	N/A	N/A
Modulating Language Models with Emotions	Ruibo Liu, Jason Wei, Chenyan Jia and Soroush Vosoughi	N/A	N/A
Benchmarking Neural Topic Models: An Empirical Study	Thanh-Nam Doan and Tuan-Anh Hoang	N/A	N/A
Analysis of Tree-Structured Architectures for Code Generation	Samip Dahal, Adyasha Maharana and Mohit Bansal	N/A	N/A
How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?	Weijia Xu, Shuming Ma, Dongdong Zhang and Marine Carpuat	N/A	N/A
Leveraging Topic Relatedness for Argument Persuasion	Xinran Zhao, Esin Durmus, Hongming Zhang and Claire Cardie	N/A	N/A
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers	Chuhan Wu, Fangzhao Wu and Yongfeng Huang	N/A	N/A
Task-adaptive Pre-training of Language Models with Word Embedding Regularization	Kosuke Nishida, Kyosuke Nishida and Sen Yoshida	N/A	N/A
Do Grammatical Error Correction Models Realize Grammatical Generalization?	Masato Mita and Hitomi Yanaka	N/A	N/A
Domain-Aware Dependency Parsing for Questions	Aparna Garimella, Laura Chiticariu and Yunyao Li	N/A	N/A
Enhancing Dialogue-based Relation Extraction by Speaker and Trigger Words Prediction	Tianyang Zhao, Zhao Yan, Yunbo Cao and Zhoujun Li	N/A	N/A
Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR	Junkun Chen, Mingbo Ma, Renjie Zheng and Liang Huang	N/A	N/A
Analyzing Code Embeddings for Coding Clinical Narratives	Wei Shi, Jiewen Wu, Xiwen Yang, Nancy Chen, Ivan Ho Mien, Jung-Jae Kim and Pavitra Krishnaswamy	N/A	N/A
Rule-Aware Reinforcement Learning for Knowledge Graph Reasoning	Zhongni Hou, Xiaolong Jin, Zixuan Li and Long Bai	N/A	N/A
Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices	Sebastin Santy, Anku Rani and Monojit Choudhury	N/A	N/A
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation	Jun Wang, Chang Xu, Francisco Guzman, Ahmed El-Kishky, Benjamin Rubinstein and Trevor Cohn	N/A	N/A
BioGen: Generating Biography Summary under Table Guidance on Wikipedia	Shen Gao, Xiuying Chen, Chang Liu, Dongyan Zhao and Rui Yan	N/A	N/A
Multilingual Simultaneous Neural Machine Translation	Philip Arthur, Dongwon Ryu and Gholamreza Haffari	N/A	N/A
Strong and Light Baseline Models for Fact-Checking Joint Inference	Kateryna Tymoshenko and Alessandro Moschitti	N/A	N/A
Do It Once: An Embarrassingly Simple Joint Matching Approach to Response Selection	Linhao Zhang, Dehong Ma, Sujian Li and Houfeng Wang	N/A	N/A
Climbing the Tower of Treebanks: Improving Low-Resource Dependency Parsing via Hierarchical Source Selection	Goran Glavas and Ivan Vuli	N/A	N/A
Adapting Monolingual Models: Data can be Scarce when Language Similarity is High	Wietse De Vries, Martijn Bartelds, Malvina Nissim and Martijn Wieling	N/A	N/A
BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch	Wenpeng Yin, Huan Wang, Jin Qu and Caiming Xiong	N/A	N/A
Rule Augmented Unsupervised Constituency Parsing	Atul Sahay, Anshul Nasery, Ayush Maheshwari, Ganesh Ramakrishnan and Rishabh Iyer	N/A	N/A
How transfer learning impacts linguistic knowledge in deep NLP models?	Nadir Durrani, Hassan Sajjad and Fahim Dalvi	N/A	N/A
Uncertainty Aware Review Hallucination for Science Article Classification	Korbinian Friedl, Georgios Rizos, Lukas Stappen, Madina Hasan, Lucia Specia, Thomas Hain and Bjorn Schuller	N/A	N/A
Highlight-Transformer: Leveraging Key Phrase Aware Attention to Improve Abstractive Multi-Document Summarization	Shuaiqi Liu, Jiannong Cao, Ruosong Yang and Zhiyuan Wen	N/A	N/A
Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs	Dinesh Raghu, Atishya Jain, Mausam - and Sachindra Joshi	N/A	N/A
Beyond Metadata: What Paper Authors Say About Corpora They Use	Nikolay Kolyada, Martin Potthast and Benno Stein	N/A	N/A
Knowledge Distillation for Quality Estimation	Amit Gajbhiye, Marina Fomicheva, Fernando Alva-Manchego, Frederic Blain, Abiola Obamuyide, Nikolaos Aletras and Lucia Specia	N/A	N/A
Cross-document Coreference Resolution over Predicted Mentions	Arie Cattan, Alon Eirew, Gabriel Stanovsky, Mandar Joshi and Ido Dagan	N/A	N/A
Could you give me a hint ? Generating inference graphs for defeasible reasoning	Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang and Eduard Hovy	N/A	N/A
Characterizing Social Spambots by their Human Traits	Salvatore Giorgi, Lyle Ungar and H. Andrew Schwartz	N/A	N/A

ACL 2023

Title	Author	PDF_Link	Code_URL
The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Research	Mohamed Abdalla, Jan Philip Wahle, Terry Lima Ruas, Aurélie Névéol, Fanny Ducel, Saif Mohammad and Karen Fort	N/A	N/A
How About Kind of Generating Hedges using End-to-End Neural Models?	Alafate Abulimiti, Chloé Clavel and Justine Cassell	N/A	N/A
What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization	Griffin Adams, Bichlien Nguyen, Jake Smith, Yingce Xia, Shufang Xie, Anna Ostropolets, Budhaditya Deb, Yuan-Jyue Chen, Tristan Naumann and Noémie Elhadad	N/A	N/A
Generating EDU Extracts for Plan-Guided Summary Re-Ranking	Griffin Adams, Alex Fabbri, Faisal Ladhak, Noémie Elhadad and Kathleen McKeown	N/A	N/A
The CRINGE Loss: Learning what language not to model	Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster, Sainbayar Sukhbaatar and Jason Weston	N/A	N/A
Multimodal Persona Based Generation of Comic Dialogs	Harsh Agrawal, Aditya Mishra, Manish Gupta and Mausam	N/A	N/A
Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities	Sina Ahmadi and Antonios Anastasopoulos	N/A	N/A
MPCHAT: Towards Multimodal Persona-Grounded Conversation	Jaewoo Ahn, Yeda Song, Sangdoo Yun and Gunhee Kim	N/A	N/A
On-the-fly Cross-lingual Masking for Multilingual Pre-training	Xi Ai and Bin Fang	N/A	N/A
Early Discovery of Disappearing Entities in Microblogs	Satoshi Akasaki, Naoki Yoshinaga and Masashi Toyoda	N/A	N/A
Prompter: Zero-shot Adaptive Prefixes for Dialogue State Tracking Domain Adaptation	Ibrahim Taha Aksu, Min-Yen Kan and Nancy Chen	N/A	N/A
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs	Afra Feyza Akyurek, Ekin Akyurek, Ashwin Kalyan, Peter Clark, Derry Tanti Wijaya and Niket Tandon	N/A	N/A
LexSym: Compositionality as Lexical Symmetry	Ekin Akyurek and Jacob Andreas	N/A	N/A
A Diverse Set of Freely Available Linguistic Resources for Turkish	Duygu ALTINOK	N/A	N/A
Query Refinement Prompts for Closed-Book Long-Form QA	Reinald Kim Amplayo, Kellie Webster, Michael Collins, Dipanjan Das and Shashi Narayan	N/A	N/A
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model	Chantal Amrhein, Florian Schottmann, Rico Sennrich and Samuel Läubli	N/A	N/A
How Do In-Context Examples Affect Compositional Generalization?	Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang LOU and Dongmei Zhang	N/A	N/A
DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media	Mario Aragon, Adrian Pastor Lopez Monroy, Luis Gonzalez, David E. Losada and Manuel Montes	N/A	N/A
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection	Erik Arakelyan, Arnav Arora and Isabelle Augenstein	N/A	N/A
Unbalanced Optimal Transport for Unbalanced Word Alignment	Yuki Arase, Han Bao and Sho Yokoi	N/A	N/A
The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources	Akshatha Arodi, Martin Pömsl, Kaheer Suleman, Adam Trischler, Alexandra Olteanu and Jackie Chi Kit Cheung	N/A	N/A
Direct Fact Retrieval from Knowledge Graphs without Entity Linking	Jinheon Baek, Alham Fikri Aji, Jens Lehmann and Sung Ju Hwang	N/A	N/A
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding	Haoli Bai, Zhiguang Liu, Xiaojun Meng, li wentao, Shuang Liu, Yifeng LUO, nian xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang and Qun Liu	N/A	N/A
Syntax and Geometry of Information	Raphaël Bailly, Laurent Leblond and Kata Gábor	N/A	N/A
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale	Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff and Dan Roth	N/A	N/A
Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers	Parikshit Bansal and Amit Sharma	N/A	N/A
Target-Side Augmentation for Document-Level Machine Translation	Guangsheng Bao, ZHIYANG TENG and Yue Zhang	N/A	N/A
A Synthetic Data Generation Framework for Grounded Dialogues	Jianzhu Bao, Rui Wang, Yasheng Wang, Aixin Sun, Yitong Li, Fei Mi and Ruifeng Xu	N/A	N/A
CASN:Class-Aware Score Network for Textual Adversarial Detection	Rong Bao, Rui Zheng, Liang Ding, Qi Zhang and Dacheng Tao	N/A	N/A
Human Inspired Progressive Alignment and Comparative Learning for Grounded Word Acquisition	Yuwei Bao, Barrett Lattimer and Joyce Chai	N/A	N/A
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation	Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky and Martijn Wieling	N/A	N/A
NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints	Mohaddeseh Bastan, Mihai Surdeanu and Niranjan Balasubramanian	N/A	N/A
Span-Selective Linear Attention Transformers for Effective and Robust Schema-Guided Dialogue State Tracking	Björn Bebensee and Haejun Lee	N/A	N/A
ELQA: A Corpus of Metalinguistic Questions and Answers about English	Shabnam Behzad, Keisuke Sakaguchi, Nathan Schneider and Amir Zeldes	N/A	N/A
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models	Jonas Belouadi and Steffen Eger	N/A	N/A
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation	Chandra Bhagavatula, Jena D. Hwang, Doug Downey, Ronan Le Bras, Ximing Lu, Lianhui Qin, Keisuke Sakaguchi, Swabha Swayamdipta, Peter West and Yejin Choi	N/A	N/A
CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs	Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, Yuan-Fang Li, Yong-Bin Kang and Rifat Shahriyar	N/A	N/A
Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions	Satwik Bhattamishra, Arkil Patel, Varun Kanade and Phil Blunsom	N/A	N/A
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation	Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie, Zheng Lin and Xiaodong He	N/A	N/A
Prompting Language Models for Linguistic Structure	Terra Blevins, Hila Gonen and Luke Zettlemoyer	N/A	N/A
SIMSUM: Document-level Text Simplification via Simultaneous Summarization	Sofia Blinova, Xinyu Zhou, Martin Jaggi, Carsten Eickhoff and Seyed Ali Bahrainian	N/A	N/A
WikiHowQA: A Comprehensive Benchmark for Multi-Document Non-Factoid Question Answering	Valeriia Bolotova-Baranova, Vladislav Blinov, Sofya Filippova, Falk Scholer and Mark Sanderson	N/A	N/A
Multilingual Event Extraction from Historical Newspaper Adverts	Nadav Borenstein, Natália da Silva Perez and Isabelle Augenstein	N/A	N/A
Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM’s Translation Capability	Eleftheria Briakou, Colin Cherry and George Foster	N/A	N/A
Measuring Progress in Fine-grained Vision-and-Language Understanding	Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal, Lisa Anne Hendricks and Aida Nematzadeh	N/A	N/A
Convergence and Diversity in the Control Hierarchy	Alexandra Butoi, Ryan Cotterell and David Chiang	N/A	N/A
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering	Avi Caciularu, Matthew Peters, Jacob Goldberger, Ido Dagan and Arman Cohan	N/A	N/A
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling	Mingzhu Cai, Siqi Bao, Xin Tian, Huang He, Fan Wang and Hua Wu	N/A	N/A
Generating User-Engaging News Headlines	Pengshan Cai, Kaiqiang Song, Sangwoo Cho, Hongwei Wang, Xiaoyang Wang, hong yu, Fei Liu and Dong Yu	N/A	N/A
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training	Nitay Calderon, Subhabrata Mukherjee, Roi Reichart and Amir Kantor	N/A	N/A
What is the best recipe for character-level encoder-only modelling?	Kris Cao	N/A	N/A
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models	Qingqing Cao, Bhargavi Paranjape and Hannaneh Hajishirzi	N/A	N/A
Bridging the Domain Gaps in Context Representations for $k$-Nearest Neighbor Neural Machine Translation	Zhiwei Cao, Baosong Yang, Huan Lin, Suhang Wu, Xiangpeng Wei, Dayiheng Liu, Jun Xie, Min Zhang and Jinsong Su	N/A	N/A
From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization	Arie Cattan, Lilach Eden, Yoav Kantor and Roy Bar-Haim	N/A	N/A
Improving Gradient Trade-offs between Tasks in Multi-task Text Classification	Heyan Chai, Jinhao Cui, Ye Wang, Min Zhang, Binxing Fang and Qing Liao	N/A	N/A
Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts	Mohna Chakraborty, Adithya Kulkarni and Qi Li	N/A	N/A
LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development	Ilias Chalkidis, Nicolas Garneau, Catalina Goanta, Daniel Katz and Anders Søgaard	N/A	N/A
Few-shot Adaptation Works with UnpredicTable Data	Jun Shern Chan, Michael Pieler, Jonathan Jao, Jérémy Scheurer and Ethan Perez	N/A	N/A
Composition-contrastive Learning for Sentence Embeddings	Sachin Chanchani and Ruihong Huang	N/A	N/A
Multi-CLS BERT: An Efficient Alternative to Traditional Ensembling	Haw-Shiuan Chang, Ruei-Yao Sun, Kathryn Ricci and Andrew McCallum	N/A	N/A
Data Curation Alone Can Stabilize In-context Learning	Ting-Yun Chang and Robin Jia	N/A	N/A
Characterizing and Measuring Linguistic Dataset Drift	Tyler Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros and Dan Roth	N/A	N/A
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning	Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar and Alexander Gray	N/A	N/A
Ideology Prediction from Scarce and Biased Supervision: Learn to Disregard the "What” and Focus on the "How”!	Chen Chen, Dylan Walker and Venkatesh Saligrama	N/A	N/A
Weakly Supervised Vision-and-Language Pre-training with Relative Representations	Chi Chen, Peng Li, Maosong Sun and Yang Liu	N/A	N/A
Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification	Chih Yao Chen, Tun Min Hung, Yi-Li Hsu and Lun-Wei Ku	N/A	N/A
mCLIP: Multilingual CLIP via Cross-lingual Transfer	Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan and Wenping Wang	N/A	N/A
REV: Information-Theoretic Evaluation of Free-Text Rationales	Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi and Swabha Swayamdipta	N/A	N/A
Did the Models Understand Documents? Benchmarking Models for Language Understanding in Document-Level Relation Extraction	Haotian Chen, Bingsheng Chen and Xiangdong Zhou	N/A	N/A
Nonlinear Structural Equation Model Guided Gaussian Mixture Hierarchical Topic Modeling	HeGang Chen, Pengbo Mao, Yuyin Lu and Yanghui Rao	N/A	N/A
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge	Jiangjie Chen, Wei Shi, Ziquan Fu, Sijie Cheng, Lei Li and Yanghua Xiao	N/A	N/A
Learning In-context Learning for Named Entity Recognition	Jiawei Chen, Yaojie Lu, Hongyu Lin, Jie Lou, Wei Jia, Dai Dai, Hua Wu, Boxi Cao, Xianpei Han and Le Sun	N/A	N/A
Exploring How Generative Adversarial Networks Learn Phonological Representations	Jingyi Chen and Micha Elsner	N/A	N/A
TableVLM: Multi-modal Pre-training for Table Structure Recognition	Leiyuan Chen, Chengsong Huang, Xiaoqing Zheng, Jinshu Lin and Xuanjing Huang	N/A	N/A
CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification	Meiqi Chen, Yixin Cao, Yan Zhang and Zhiwei Liu	N/A	N/A
BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric	Mingda Chen, Paul-Ambroise Duquenne, Pierre Andrews, Justine Kao, Alexandre Mourachko, Holger Schwenk and Marta R. Costa-juss	N/A	N/A
Alleviating Over-smoothing for Unsupervised Sentence Representation	Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li and Daxin Jiang	N/A	N/A
Consistent Prototype Learning for Few-Shot Continual Relation Extraction	Xiudi Chen, Hui Wu and xiaodong shi	N/A	N/A
Improving the Robustness of Summarization Systems with Dual Augmentation	Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang and Xiangliang Zhang	N/A	N/A
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models	Xuxi Chen, Tianlong Chen, Weizhu Chen, Ahmed Hassan Awadallah, Zhangyang Wang and Yu Cheng	N/A	N/A
A Close Look into the Calibration of Pre-trained Language Models	Yangyi Chen, Lifan Yuan, Ganqu CUI, Zhiyuan Liu and Heng Ji	N/A	N/A
Dynamic Transformers Provide a False Sense of Efficiency	Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby Tan and Haizhou Li	N/A	N/A
PMAES: Prompt-mapping Contrastive Learning for Cross-prompt Automated Essay Scoring	Yuan Chen and Xia Li	N/A	N/A
Exploring Lottery Prompts for Pre-trained Language Models	Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Haitao Zheng, Zhiyuan Liu and Pengjun Xie	N/A	N/A
UniSumm and SummZoo: Unified Model and Diverse Benchmark for Few-Shot Summarization	Yulong Chen, Yang Liu, Ruochen Xu, Ziyi Yang, Chenguang Zhu, Michael Zeng and Yue Zhang	N/A	N/A
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation	Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Xianchao Zhu and Yue Zhang	N/A	N/A
DISCO: Distilling Counterfactuals with Large Language Models	Zeming Chen, Qiyue Gao, Antoine Bosselut, Ashish Sabharwal and Kyle Richardson	N/A	N/A
From the One, Judge of the Whole: Typed Entailment Graph Construction with Predicate Generation	Zhibin Chen, Yansong Feng and Dongyan Zhao	N/A	N/A
Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection	Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao and Liqiang Nie	N/A	N/A
Multi-granularity Temporal Question Answering over Knowledge Graphs	Ziyang Chen, Jinzhi Liao and Xiang Zhao	N/A	N/A
Explainable Recommendation with Personalized Review Retrieval and Aspect Learning	Hao Cheng, Shuo Wang, Wensheng Lu, Wei Zhang, Mingyang Zhou, Kezhong Lu and Hao Liao	N/A	N/A
MDACE: MIMIC Documents Annotated with Code Evidence	Hua Cheng, Rana Jafari, April Russell, Russell Klopfer, Edmond Lu, Benjamin Striner and Matthew Gormley	N/A	N/A
Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models	Myra Cheng, Esin Durmus and Dan Jurafsky	N/A	N/A
OpenSR: Open-Modality Speech Recognition via Maintaining Multi-Modality Alignment	Xize Cheng, Tao Jin, Linjun Li, Wang Lin, Xinyu Duan and Zhou Zhao	N/A	N/A
Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis	Ta-Chung Chi, Ting-Han Fan, alexander rudnicky and Peter Ramadge	N/A	N/A
Can Large Language Models Be an Alternative to Human Evaluations?	Cheng-Han Chiang and Hung-yi Lee	N/A	N/A
CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels	Hyunsoo Cho, Youna Kim and Sang-goo Lee	N/A	N/A
Advancing Multi-Criteria Chinese Word Segmentation Through Criterion Classification and Denoising	Tzu Hsuan Chou, Chun-Yi Lin and Hung-Yu Kao	N/A	N/A
A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding Spaces	Gabriella Chronis, Kyle Mahowald and Katrin Erk	N/A	N/A
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions	John Chung, Ece Kamar and Saleema Amershi	N/A	N/A
Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection	Christopher Clarke, Matthew Hall, Gaurav Mittal, Ye Yu, Sandra Sajeev, Jason Mars and Mei Chen	N/A	N/A
A dynamic programming algorithm for span-based nested named-entity recognition in O(n^2)	Caio Corro	N/A	N/A
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing	Maxwell Crouse, Pavan Kapanipathi, Subhajit Chaudhury, Tahira Naseem, Ramon Fernandez Astudillo, Achille Fokoue and Tim Klinger	N/A	N/A
Decoder Tuning: Efficient Language Understanding as Decoding	Ganqu CUI, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu and Maosong Sun	N/A	N/A
Adaptive and Personalized Exercise Generation for Online Language Learning	Peng Cui and Mrinmaya Sachan	N/A	N/A
What does the Failure to Reason with "Respectively’’ in Zero/Few-Shot Settings Tell Us about Language Models?	Ruixiang Cui, Seolhwa Lee, Daniel Hershcovich and Anders Søgaard	N/A	N/A
Free Lunch for Efficient Textual Commonsense Integration in Language Models	Wanyun Cui and Xingran Chen	N/A	N/A
From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained	Hongliang Dai and Ziqian Zeng	N/A	N/A
Long-Tailed Question Answering in an Open World	Yi Dai, Hao Lang, Yinhe Zheng, Fei Huang and Yongbin Li	N/A	N/A
Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better	David Dale, Elena Voita, Loic Barrault and Marta R. Costa-jussà	N/A	N/A
Analyzing Transformers in Embedding Space	Guy Dar, Mor Geva, Ankit Gupta and Jonathan Berant	N/A	N/A
Improving Pretraining Techniques for Code-Switched NLP	Richeek Das, Sahasra Ranjan, Shreya Pathak and Preethi Jyothi	N/A	N/A
Dependency resolution at the syntax-semantics interface: psycholinguistic and computational insights on control dependencies	Iria de-Dios-Flores, Juan Garcia Amboage and Marcos Garcia	N/A	N/A
Subset Retrieval Nearest Neighbor Machine Translation	Hiroyuki Deguchi, Taro Watanabe, Yusuke Matsui, Masao Utiyama, Hideki Tanaka and Eiichiro Sumita	N/A	N/A
SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres	Shumin Deng, Shengyu Mao, Ningyu Zhang and Bryan Hooi	N/A	N/A
Counterfactual Active Learning for Out-of-Distribution Generalization	Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He and Yong Liao	N/A	N/A
Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations	Yang Deng, Wenxuan Zhang, Yifei Yuan and Wai Lam	N/A	N/A
Product Question Answering in E-Commerce: A Survey	Yang Deng, Wenxuan Zhang, Qian Yu and Wai Lam	N/A	N/A
Towards Faithful Dialogues via Focus Learning	Yifan Deng, Xingsheng Zhang, Heyan Huang and Yue Hu	N/A	N/A
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis	Yue Deng, Wenxuan Zhang, Sinno Jialin Pan and Lidong Bing	N/A	N/A
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models’ Memories	Shizhe Diao, Tianyang Xu, Ruijia Xu, Jiawei Wang and Tong Zhang	N/A	N/A
Is GPT-3 a Good Data Annotator?	BOSHENG DING, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty and Lidong Bing	N/A	N/A
MasakhaPOS: Part-of-Speech Tagging for Typologically Diverse African languages	Cheikh M. Bamba Dione, David Ifeoluwa Adelani, Peter Nabende, Jesujoba Alabi, Thapelo Sindane, Happy Buzaaba, Shamsuddeen Hassan Muhammad, Chris Chinenye Emezue, Perez Ogayo, Anuoluwapo Aremu, Catherine Gitau, Derguene Mbaye, Jonathan Mukiibi, Blessing Sibanda, Bonaventure F. P. Dossou, Andiswa Bukula, Rooweither Mabuya, Allahsera Auguste Tapo, Edwin Munkoh-Buabeng, victoire Memdjokam Koagne, Fatoumata Ouoba Kabore, Amelia Taylor, Godson KALIPE, Tebogo Macucwa, Vukosi Marivate, Tajuddeen Gwadabe, Mboning Tchiaze Elvis, Ikechukwu Onyenwe, Gratien Atindogbe, Tolulope Adelani, Idris Akinade, Olanrewaju Samuel, Marien NAHIMANA, Théogène MUSABEYEZU, Emile Niyomutabazi, Ester Chimhenga, Kudzai Gotosa, Patrick Mizha, Apelete AGBOLO, SEYDOU TRAORE, Chinedu Uchechukwu, Aliyu Yusuf, Muhammad Abdullahi and Dietrich Klakow	N/A	N/A
Unsupervised Open-domain Keyphrase Generation	Lam Do, Pritom Saha Akash and Kevin Chen-Chuan Chang	N/A	N/A
Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation	Xuan Long Do, Bowei Zou, Shafiq Joty, Tran Tai, Liangming Pan, Nancy Chen and Ai Ti Aw	N/A	N/A
Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages	Sumanth Doddapaneni, Rahul Aralikatte, Gowtham Ramesh, Shreya Goyal, Mitesh M. Khapra, Anoop Kunchukuttan and Pratyush Kumar	N/A	N/A
ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning	Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim and Leshem Choshen	N/A	N/A
Generalizing Backpropagation for Gradient-Based Interpretability	Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alex Warstadt and Ryan Cotterell	N/A	N/A
A Measure-Theoretic Characterization of Tight Language Models	Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner and Ryan Cotterell	N/A	N/A
Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing	Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin and Jingshuo Liu	N/A	N/A
StoryWars: A Dataset and Instruction Tuning Baselines for Collaborative Story Understanding and Generation	Yulun Du and Lydia Chilton	N/A	N/A
Measuring the Instability of Fine-Tuning	Yupei Du and Dong Nguyen	N/A	N/A
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering	Dheeru Dua, Emma Strubell, Sameer Singh and Pat Verga	N/A	N/A
MAD-TSC: A Multilingual Aligned News Dataset for Target-dependent Sentiment Classification	Evan Dufraisse, Adrian Popescu, Julien Tourille, Armelle Brun and Jerome Deshayes	N/A	N/A
SpeechMatrix: A Large-Scale Mined Corpus of Multilingual Speech-to-Speech Translations	Paul-Ambroise Duquenne, Hongyu Gong, Ning Dong, Jingfei Du, Ann Lee, Vedanuj Goswami, Changhan Wang, Juan Pino, Benoît Sagot and Holger Schwenk	N/A	N/A
Automatic Annotation of Direct Speech in Written French Narratives	Noé Durandard, Viet Anh TRAN, Gaspard Michel and Elena Epure	N/A	N/A
NLPeer: A Unified Resource for the Computational Study of Peer Review	Nils Dycke, Ilia Kuznetsov and Iryna Gurevych	N/A	N/A
How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks	Salijona Dyrmishi, Salah GHAMIZI and Maxime Cordy	N/A	N/A
HuCurl: Human-induced Curriculum Discovery	Mohamed Elgaar and Hadi Amiri	N/A	N/A
Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue	Maksim Eremeev, Ilya Valmianski, Xavier Amatriain and Anitha Kannan	N/A	N/A
StoryARG: a corpus of narratives and personal experiences in argumentative texts	Neele Falk and Gabriella Lapesa	N/A	N/A
MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition	Jinyuan Fang, Xiaobin Wang, Zaiqiao Meng, Pengjun Xie, Fei Huang and Yong Jiang	N/A	N/A
Understanding and Bridging the Modality Gap for Speech Translation	Qingkai Fang and Yang Feng	N/A	N/A
Back Translation for Speech-to-text Translation Without Transcripts	Qingkai Fang and Yang Feng	N/A	N/A
Towards Domain-Agnostic and Domain-Adaptive Dementia Detection from Spoken Language	Shahla Farzana and Natalie Parde	N/A	N/A
Cross-lingual Science Journalism: Select, Simplify and Rewrite Summaries for Non-expert Readers	Mehwish Fatima and Michael Strube	N/A	N/A
Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination	Hao Fei, Qian Liu, Meishan Zhang, Min Zhang and Tat-Seng Chua	N/A	N/A
Mitigating Label Biases for In-context Learning	Yu Fei, Yifan Hou, Zeming Chen and Antoine Bosselut	N/A	N/A
Enhancing Grammatical Error Correction Systems with Explanations	Yuejiao Fei, Leyang Cui, Sen Yang, Wai Lam, Zhenzhong Lan and Shuming Shi	N/A	N/A
WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models	Virginia Felkner, Ho-Chun Herbert Chang, Eugene Jang and Jonathan May	N/A	N/A
Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction	Huawen Feng, Junlong Liu, Junhao Zheng, Haibin Chen, Xichen Shang and Qianli Ma	N/A	N/A
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation	Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao and Qingwei Lin	N/A	N/A
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding	Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei and Yulia Tsvetkov	N/A	N/A
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models	Shangbin Feng, Chan Young Park, Yuhan Liu and Yulia Tsvetkov	N/A	N/A
Generic Temporal Reasoning with Differential Analysis and Explanation	Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin and Dan Roth	N/A	N/A
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues	Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz and Gabriella Kazai	N/A	N/A
DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation	Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks Lakshmanan, V.S. and Xing Xie	N/A	N/A
When Does Translation Require Context? A Data-driven, Multilingual Exploration	Patrick Fernandes, Kayo Yin, Emmy Liu, André Martins and Graham Neubig	N/A	N/A
Explaining How Transformers Use Context to Build Predictions	Javier Ferrando, Gerard I. Gállego, Ioannis Tsiamas and Marta R. Costa-jussà	N/A	N/A
Don’t Forget Your ABC’s: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems	Sarah E. Finch, James D. Finch and Jinho D. Choi	N/A	N/A
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages	Jack FitzGerald, Christopher Hench, Charith Peris, Scott Mackie, Kay Rottmann, Ana Sanchez, Aaron Nash, Liam Urbach, Vishesh Kakarala, Richa Singh, Swetha Ranganath, Laurie Crist, Misha Britan, Wouter Leeuwis, Gokhan Tur and Prem Natarajan	N/A	N/A
FairPrism: Evaluating Fairness-Related Harms in Text Generation	Eve Fleisig, Aubrie Amstutz, Chad Atalla, Su Lin Blodgett, Hal Daumé III, Alexandra Olteanu, Emily Sheng, Dan Vann and Hanna Wallach	N/A	N/A
Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models	Myles Foley, Ambrish Rawat, Taesung Lee, Yufang Hou, Gabriele Picco and Giulio Zizzo	N/A	N/A
EPIC: Multi-Perspective Annotation of a Corpus of Irony	Simona Frenda, Alessandro Pedrani, Valerio Basile, Soda Marem Lo, Alessandra Teresa Cignarella, Raffaella Panizzon, Cristina Marco, Bianca Scarlini, Viviana Patti, Cristina Bosco and Davide Bernardi	N/A	N/A
Conflicts, Villains, Resolutions: Towards models of Narrative Media Framing	Lea Frermann, Jiatong Li, Shima Khanehzar and Gosia Mikolajczak	N/A	N/A
On the Compositional Generalization in Versatile Open-domain Dialogue	Tingchen Fu, Xueliang Zhao, Lemao Liu and Rui Yan	N/A	N/A
Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation	Matthieu Futeral, Cordelia Schmid, Ivan Laptev, Benoît Sagot and Rachel Bawden	N/A	N/A
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators	Matteo Gabburo, Siddhant Garg, Rik Koncel-Kedziorski and Alessandro Moschitti	N/A	N/A
Question-Answering in a Low-resourced Language: Benchmark Dataset and Models for Tigrinya	Fitsum Gaim, Wonsuk Yang, Hancheol Park and Jong Park	N/A	N/A
Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution	Nupoor Gandhi, Anjalie Field and Emma Strubell	N/A	N/A
LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming	Jingsheng Gao, Yixin Lian, Ziyi Zhou, yuzhuo fu and Baoyuan Wang	N/A	N/A
RARR: Researching and Revising What Language Models Say, Using Language Models	Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan and Kelvin Guu	N/A	N/A
Precise Zero-Shot Dense Retrieval without Relevance Labels	Luyu Gao, Xueguang Ma, Jimmy Lin and Jamie Callan	N/A	N/A
Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework	Mingqi Gao, Xiaojun Wan, Jia Su, Zhefeng Wang and baoxing Huai	N/A	N/A
Dialogue Summarization with Static-Dynamic Structure Fusion Graph	Shen Gao, Xin Cheng, Mingzhe Li, Xiuying Chen, Jinpeng Li, Dongyan Zhao and Rui Yan	N/A	N/A
PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives	Silin Gao, Beatriz Borges, Soyoung Oh, Deniz Bayazit, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji and Antoine Bosselut	N/A	N/A
DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization	SongYang Gao, Shihan Dou, Yan Liu, Xiao Wang, Qi Zhang, Zhongyu Wei, Jin Ma and Ying Shan	N/A	N/A
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization	Ze-Feng Gao, Kun Zhou, Peiyu Liu, Wayne Xin Zhao and Ji-Rong Wen	N/A	N/A
Entailment as Robust Self-Learner	Jiaxin Ge, Hongyin Luo, Yoon Kim and James Glass	N/A	N/A
Compounding Geometric Operations for Knowledge Graph Completion	Xiou Ge, Yun Cheng Wang, Bin Wang and C.-C. Jay Kuo	N/A	N/A
The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers	Ariel Gera, Roni Friedman, Ofir Arviv, Chulaka Gunasekara, Benjamin Sznajder, Noam Slonim and Eyal Shnarch	N/A	N/A
ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems	Sarik Ghazarian, Yijia Shao, Rujun Han, Aram Galstyan and Nanyun Peng	N/A	N/A
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER	Sreyan Ghosh, Utkarsh Tyagi, Manan Suri, Sonal Kumar, Ramaneswaran S and Dinesh Manocha	N/A	N/A
Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation	Robert Giaquinto, Dejiao Zhang, Benjamin Kleiner, Yang Li, Ming Tan, Parminder Bhatia, Ramesh Nallapati and Xiaofei Ma	N/A	N/A
Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change Analysis	Mario Giulianelli, Iris Luden, Raquel Fernandez and Andrey Kutuzov	N/A	N/A
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers	Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao and Xia Song	N/A	N/A
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction	Zhibin Gou, qingyan guo and Yujiu Yang	N/A	N/A
Factual or Contextual? Disentangling Error Types in Entity Description Generation	Navita Goyal, Ani Nenkova and Hal Daumé III	N/A	N/A
Massively Multilingual Lexical Specialization of Multilingual Transformers	Tommaso Green, Simone Paolo Ponzetto and Goran Glavaš	N/A	N/A
Rogue Scores	Max Grusky	N/A	N/A
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding	Jia-Chen Gu, Zhenhua Ling, Quan Liu, Cong Liu and Guoping Hu	N/A	N/A
A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning	Naibin Gu, Peng Fu, Xiyu Liu, Zhengxiao Liu, Zheng Lin and Weiping Wang	N/A	N/A
Don’t Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments	Yu Gu, Xiang Deng and Yu Su	N/A	N/A
Do language models have coherent mental models of everyday things?	Yuling Gu, Bhavana Dalvi Mishra and Peter Clark	N/A	N/A
Pre-Training to Learn in Context	Yuxian Gu, Li Dong, Furu Wei and Minlie Huang	N/A	N/A
Controllable Text Generation via Probability Density Estimation in the Latent Space	Yuxuan Gu, Xiaocheng Feng, Sicheng Ma, Lingyuan Zhang, Heng Gong, Weihong Zhong and Bing Qin	N/A	N/A
On the Evaluation of Neural Selective Prediction Methods for Natural Language Processing	Zhengyao Gu and Mark Hopkins	N/A	N/A
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation	Nuno M. Guerreiro, Pierre Colombo, Pablo Piantanida and André Martins	N/A	N/A
HiFi: High-Information Attention Heads Hold for Parameter-Efficient Model Adaptation	Anchun Gui and Han Xiao	N/A	N/A
Visually-augmented pretrained language models for NLP tasks without images	Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Qinyu Zhang and Ji-Rong Wen	N/A	N/A
Decoding Symbolism in Language Models	Meiqi Guo, Rebecca Hwa and Adriana Kovashka	N/A	N/A
Dual Cache for Long Document Neural Coreference Resolution	Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu and Zheng Zhang	N/A	N/A
Learning Optimal Policy for Simultaneous Machine Translation via Binary Search	Shoutao Guo, Shaolei Zhang and Yang Feng	N/A	N/A
Counterfactual Multihop QA: A Cause-Effect Approach for Reducing Disconnected Reasoning	Wangzhen Guo, Qinkang Gong, Yanghui Rao and Hanjiang Lai	N/A	N/A
Analyzing and Reducing the Performance Gap in Cross-Lingual Transfer with Fine-tuning Slow and Fast	Yiduo Guo, Yaobo Liang, Dongyan Zhao, Bing Liu and Nan Duan	N/A	N/A
Bi-Phone: Modeling Inter Language Phonetic Influences in Text	Abhirut Gupta, Ananya B. Sai, Richard Sproat, Yuri Vasilevski, James Ren, Ambarish Jash, Sukhdeep Sodhi and Aravindan Raghuveer	N/A	N/A
Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text	Ashim Gupta, Carter Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala and Vivek Srikumar	N/A	N/A
Counterspeeches up my sleeve! Intent Distribution Learning and Persistent Fusion for Intent-Conditioned Counterspeech Generation	Rishabh Gupta, Shaily Desai, Manvi Goel, Anil Bandhakavi, Tanmoy Chakraborty and Md. Shad Akhtar	N/A	N/A
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles	Tanishq Gupta, Mohd Zaki, Devanshi Khatsuriya, Kausik Hira, N M Anoop Krishnan and Mausam	N/A	N/A
Linguistic representations for fewer-shot relation extraction across domains	Sireesh Gururaja, Ritam Dutt, Tinglong Liao and Carolyn Rosé	N/A	N/A
Hybrid Knowledge Transfer for Improved Cross-Lingual Event Detection via Hierarchical Sample Selection	Luis Guzman Nateras, Franck Dernoncourt and Thien Nguyen	N/A	N/A
Improving the Detection of Multilingual Online Attacks with Rich Social Media Data from Singapore	Janosch Haber, Bertie Vidgen, Matthew Chapman, Vibhor Agarwal, Roy Ka-Wei Lee, Yong Keong Yap and Paul Röttger	N/A	N/A
Text Style Transfer with Contrastive Transfer Pattern Mining	Jingxuan Han, Quan Wang, Licheng Zhang, Weidong Chen, Yan Song and Zhendong Mao	N/A	N/A
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control	Xiaochuang Han, Sachin Kumar and Yulia Tsvetkov	N/A	N/A
Understanding In-Context Learning via Supportive Pretraining Data	Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz and Tianlu Wang	N/A	N/A
bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark	Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Veselin Stoyanov, Ivan Koychev, Preslav Nakov and Dragomir Radev	N/A	N/A
Neural Unsupervised Reconstruction of Protolanguage Word Forms	Andre He, Nicholas Tomlin and Dan Klein	N/A	N/A
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization	Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao and Xuedong Huang	N/A	N/A
HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation	Qianyu He, Yikai Zhang, Jiaqing Liang, Yuncheng Huang, Yanghua Xiao and Yunwen Chen	N/A	N/A
PAD-Net: An Efficient Framework for Dynamic Networks	Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu and Dacheng Tao	N/A	N/A
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation	Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James Glass and Yulia Tsvetkov	N/A	N/A
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion	Wanrong He, Haoyu Dong, Yihuai Gao, zhichao fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han and Dongmei Zhang	N/A	N/A
Exploring the Capacity of Pretrained Language Models for Reasoning about Actions and Change	Weinan He, Canming Huang, Zhanhao Xiao and Yongmei Liu	N/A	N/A
Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?	Yuxin He, Jingyue Hu and Buzhou Tang	N/A	N/A
Targeted Data Generation: Finding and Fixing Model Weaknesses	Zexue He, Marco Tulio Ribeiro and Fereshte Khani	N/A	N/A
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models	Zhengfu He, Tianxiang Sun, Qiong Tang, Kuanning Wang, Xuanjing Huang and Xipeng Qiu	N/A	N/A
UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction	Zheyu He, Yujin Zhu, Linlin Wang and Liang Xu	N/A	N/A
Language of Bargaining	Mourad Heddaya, Solomon Dworkin, Chenhao Tan, Rob Voigt and Alexander Zentefis	N/A	N/A
DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue	William Held, Christopher Hidey, Fei Liu, Eric Zhu, Rahul Goel, Diyi Yang and Rushin Shah	N/A	N/A
MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset	Leonhard Hennig, Philippe Thomas and Sebastian Möller	N/A	N/A
Comparative evaluation of boundary-relaxed annotation for Entity Linking performance	Gabriel Herman Bernardim Andrade, Shuntaro Yada and Eiji ARAMAKI	N/A	N/A
Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest	Jack Hessel, Ana Marasovic, Jena D. Hwang, Lillian Lee, Jeff Da, Rowan Zellers, Robert Mankoff and Yejin Choi	N/A	N/A
Backpack Language Models	John Hewitt, John Thickstun, Christopher Manning and Percy Liang	N/A	N/A
Empowering Cross-lingual Behavioral Testing of NLP Models with Typological Features	Ester Hlavnova and Sebastian Ruder	N/A	N/A
Large Language Models Are Reasoning Teachers	Namgyu Ho, Laura Schmid and Se-Young Yun	N/A	N/A
My side, your side and the evidence: Discovering aligned actor groups and the narratives they weave	Pavan Holur, David Chong, Timothy Tangherlini and Vwani Roychowdhury	N/A	N/A
Faithful Question Answering with Monte-Carlo Planning	Ruixin Hong, Hongming Zhang, Hong Zhao, Dong Yu and Changshui Zhang	N/A	N/A
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor	Or Honovich, Thomas Scialom, Omer Levy and Timo Schick	N/A	N/A
Instruction Induction: From Few Examples to Natural Language Task Descriptions	Or Honovich, Uri Shaham, Samuel R. Bowman and Omer Levy	N/A	N/A
Attributable and Scalable Opinion Summarization	Tom Hosking, Hao Tang and Mirella Lapata	N/A	N/A
MISGENDERED: Limits of Large Language Models in Understanding Pronouns	Tamanna Hossain, Sunipa Dev and Sameer Singh	N/A	N/A
Resolving Indirect Referring Expressions for Entity Selection	Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti and Annie Louis	N/A	N/A
ORGAN: Observation-Guided Radiology Report Generation via Tree Reasoning	Wenjun Hou, Kaishuai Xu, Yi Cheng, Wenjie Li and Jiang Liu	N/A	N/A
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding	Zhijian Hou, Wanjun Zhong, Lei Ji, DIFEI GAO, Kun Yan, W.K. Chan, Chong-Wah Ngo, Mike Zheng Shou and Nan Duan	N/A	N/A
TAGPRIME: A Unified Framework for Relational Structure Extraction	I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Prem Natarajan, Kai-Wei Chang and Nanyun Peng	N/A	N/A
AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model	I-Hung Hsu, Zhiyu Xie, Kuan-Hao Huang, Prem Natarajan and Nanyun Peng	N/A	N/A
InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation	Anwen Hu, Shizhe Chen, Liang Zhang and Qin Jin	N/A	N/A
Supervised Adversarial Contrastive Learning for Emotion Recognition in Conversations	Dou Hu, Yinan Bao, Lingwei Wei, Wei Zhou and Songlin Hu	N/A	N/A
A fine-grained comparison of pragmatic language understanding in humans and language models	Jennifer Hu, Sammy Floyd, Olessia Jouravlev, Evelina Fedorenko and Edward Gibson	N/A	N/A
Won’t Get Fooled Again: Answering Questions with False Premises	Shengding Hu, Yifan Luo, Huadong Wang, Xingyi Cheng, Zhiyuan Liu and Maosong Sun	N/A	N/A
In-Context Analogical Reasoning with Pre-Trained Language Models	Xiaoyang Hu, Shane Storks, Richard Lewis and Joyce Chai	N/A	N/A
MeetingBank: A Benchmark Dataset for Meeting Summarization	Yebowen Hu, Timothy Ganter, Hanieh Deilamsalehy, Franck Dernoncourt, Hassan Foroosh and Fei Liu	N/A	N/A
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition	Yuchen Hu, Ruizhe Li, Chen Chen, Chengwei Qin, Qiu-Shi Zhu and Eng Siong Chng	N/A	N/A
MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition	Yuchen Hu, Chen Chen, Ruizhe Li, Heqing Zou and Eng Siong Chng	N/A	N/A
Semantic Structure Enhanced Event Causality Identification	Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo and Xueqi Cheng	N/A	N/A
Improving Translation Quality Estimation with Bias Mitigation	Hui Huang, Shuangzhi Wu, Kehai Chen, Hui Di, Muyun Yang and Tiejun Zhao	N/A	N/A
Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation	Kaiyu Huang, Peng Li, Jin Ma, Ting Yao and Yang Liu	N/A	N/A
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation	Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang and Aram Galstyan	N/A	N/A
Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation	Kung-Hsiang Huang, Kathleen McKeown, Preslav Nakov, Yejin Choi and Heng Ji	N/A	N/A
Zero-shot Faithful Factual Error Correction	Kung-Hsiang Huang, Hou Pong Chan and Heng Ji	N/A	N/A
More than Classification: A Unified Framework for Event Temporal Relation Extraction	Quzhe Huang, Yutong Hu, Shengqi Zhu, Yansong Feng, Chang Liu and Dongyan Zhao	N/A	N/A
AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translation	Rongjie Huang, Huadai Liu, Xize Cheng, Yi Ren, Linjun Li, Zhenhui Ye, Jinzheng He, Lichao Zhang, Jinglin Liu, Xiang Yin and Zhou Zhao	N/A	N/A
An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation	Xuancheng Huang, Zijun Liu, Peng Li, Tao Li, Maosong Sun and Yang Liu	N/A	N/A
Towards Higher Pareto Frontier in Multilingual Machine Translation	yichong huang, Xiaocheng Feng, Xinwei Geng, Baohang Li and Bing Qin	N/A	N/A
MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning	Yongfeng Huang, Yanyang Li, Yichong Xu, Lin Zhang, ruyi gan, Jiaxing Zhang and Liwei Wang	N/A	N/A
REDFM: a Filtered and Multilingual Relation Extraction Dataset	‪Pere-Lluís Huguet Cabot, Simone Tedeschi, Axel-Cyrille Ngonga Ngomo and Roberto Navigli	N/A	N/A
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages	Ayyoob ImaniGooghari, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André Martins, François Yvon and Hinrich Schütze	N/A	N/A
UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units	Hirofumi Inaguma, Sravya Popuri, Ilia Kulikov, Peng-Jen Chen, Changhan Wang, Yu-An Chung, Yun Tang, Ann Lee, Shinji Watanabe and Juan Pino	N/A	N/A
Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora	Svanhvít Lilja Ingólfsdóttir, Petur Ragnarsson, Haukur Jónsson, Haukur Simonarson, Vilhjalmur Thorsteinsson and Vésteinn Snæbjarnarson	N/A	N/A
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications	Adam Ivankay, Mattia Rigotti and Pascal Frossard	N/A	N/A
HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation	Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi and Matthew Peters	N/A	N/A
ContraCLM: Contrastive Learning For Causal Language Model	Nihal Jain, Dejiao Zhang, Wasi Uddin Ahmad, Zijian Wang, Feng Nan, Xiaopeng Li, Ming Tan, Ramesh Nallapati, Baishakhi Ray, Parminder Bhatia, Xiaofei Ma and Bing Xiang	N/A	N/A
Knowledge Unlearning for Mitigating Privacy Risks in Language Models	Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran and Minjoon Seo	N/A	N/A
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models	Akshita Jha, Aida Mostafazadeh Davani, Chandan K Reddy, Shachi Dave, Vinodkumar Prabhakaran and Sunipa Dev	N/A	N/A
Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification	Ke Ji, Yixin Lian, Jingsheng Gao and Baoyuan Wang	N/A	N/A
In-sample Curriculum Learning by Sequence Completion for Natural Language Generation	Qi Jia, Yizhu Liu, Haifeng Tang and Kenny Zhu	N/A	N/A
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field	Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng and Kewei Tu	N/A	N/A
Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation	Chaoya Jiang, Wei Ye, Haiyang Xu, Songfang Huang, Fei Huang and Shikun Zhang	N/A	N/A
Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing	Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie and Kewei Tu	N/A	N/A
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion	Dongfu Jiang, Xiang Ren and Bill Yuchen Lin	N/A	N/A
A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment	Jiyue Jiang, Sheng Wang, Qintong Li, Lingpeng Kong and Chuan Wu	N/A	N/A
Pruning Pre-trained Language Models Without Fine-Tuning	Ting Jiang, deqing wang, Fuzhen Zhuang, Ruobing Xie and Feng Xia	N/A	N/A
Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels	Yuchen Eleanor Jiang, Tianyu Liu, Shuming Ma, Dongdong Zhang, Mrinmaya Sachan and Ryan Cotterell	N/A	N/A
Improving Domain Generalization for Prompt-Aware Essay Scoring via Disentangled Representation Learning	Zhiwei Jiang, Tianyi Gao, Yafeng Yin, Meng Liu, Hua Yu, Zifeng Cheng and Qing Gu	N/A	N/A
Patton: Language Model Pretraining on Text-Rich Networks	Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu and Jiawei Han	N/A	N/A
DarkBERT: A Language Model for the Dark Side of the Internet	Youngjin Jin, Eugene Jang, Jian Cui, Jin-Woo Chung, Yongjae Lee and Seungwon Shin	N/A	N/A
Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation	Liqiang Jing, Xuemeng Song, Kun Ouyang, Mengzhao Jia and Liqiang Nie	N/A	N/A
MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction	Wang Jing, Aixin Sun, Hao Zhang and Xiaoli Li	N/A	N/A
Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation	Josef Jon and Ondřej Bojar	N/A	N/A
U-CREAT: Unsupervised Case Retrieval using Events extrAcTion	Abhinav Joshi, Akshat Sharma, Sai Kiran Tanikella and Ashutosh Modi	N/A	N/A
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales	Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi and Xiang Ren	N/A	N/A
ArgAnalysis35K : A large-scale dataset for Argument Quality Analysis	Omkar Joshi, Priya Pitre and Yashodhara Haribhakta	N/A	N/A
A Compare-and-contrast Multistage Pipeline for Uncovering Financial Signals in Financial Reports	Jia-Huei Ju, Yu-Shiang Huang, Cheng-Wei Lin, Che Lin and Chuan-Ju Wang	N/A	N/A
Node Placement in Argument Maps: Modeling Unidirectional Relations in High & Low-Resource Scenarios	Iman Jundi, Neele Falk, Eva Maria Vecchi and Gabriella Lapesa	N/A	N/A
Your spouse needs professional help: Determining the Contextual Appropriateness of Messages through Modeling Social Relationships	David Jurgens, Agrima Seth, Jackson Sargent, Athena Aghighi and Michael Geraci	N/A	N/A
Evaluating Open-Domain Question Answering in the Era of Large Language Models	Ehsan Kamalloo, Nouha Dziri, Charles Clarke and Davood Rafiei	N/A	N/A
Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models	Junmo Kang, Wei Xu and Alan Ritter	N/A	N/A
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language	Mehran Kazemi, Najoung Kim, Deepti Bhatia, Xin Xu and Deepak Ramachandran	N/A	N/A
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering	Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu and Minlie Huang	N/A	N/A
Few-shot Reranking for Multi-hop QA via Language Model Prompting	Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee and Lu Wang	N/A	N/A
A Cautious Generalization Goes a Long Way: Learning Morphophonological Rules	Salam Khalifa, Sarah Payne, Jordan Kodner, Ellen Broselow and Owen Rambow	N/A	N/A
ExplainMeetSum: A Dataset for Explainable Meeting Summarization Aligned with Human Intent	Hyun Kim, Minsoo Cho and Seung-Hoon Na	N/A	N/A
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations	Hyunjae Kim, jaehyo yoo, Seunghyun Yoon and Jaewoo Kang	N/A	N/A
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information	Jaehyung Kim, Yekyung Kim, Karin de Langis, Jinwoo Shin and Dongyeop Kang	N/A	N/A
FactKG: Fact Verification via Reasoning on Knowledge Graphs	Jiho Kim, Sungjin Park, Yeonsu Kwon, Yohan Jo, James Thorne and Edward Choi	N/A	N/A
(QA)^2: Question Answering with Questionable Assumptions	Najoung Kim, Phu Mon Htut, Samuel R. Bowman and Jackson Petty	N/A	N/A
Entity Tracking in Language Models	Najoung Kim and Sebastian Schuster	N/A	N/A
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning	Nayeon Kim, Yinhua Piao and Sun Kim	N/A	N/A
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings	Tassilo Klein and Moin Nabi	N/A	N/A
PairSpanBERT: An Enhanced Language Model for Bridging Resolution	Hideo Kobayashi, Yufang Hou and Vincent Ng	N/A	N/A
Morphological Inflection: A Reality Check	Jordan Kodner, Sarah Payne, Salam Khalifa and Zoey Liu	N/A	N/A
Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model	Yeskendir Koishekenov, Alexandre Berard and Vassilina Nikoulina	N/A	N/A
PromptRank: Unsupervised Keyphrase Extraction Using Prompt	Aobo Kong, Shiwan Zhao, Hao Chen, Qicheng Li, Yong Qin, Ruiqi Sun and Xiaoyan Bai	N/A	N/A
Improving the robustness of NLI models with minimax training	Michalis Korakakis and Andreas Vlachos	N/A	N/A
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation	Suraj Kothawade, Anmol Mekala, D.Chandra Sekhara Hetha Havya, Mayank Kothyari, Rishabh Iyer, Ganesh Ramakrishnan and Preethi Jyothi	N/A	N/A
Downstream Datasets Make Surprisingly Good Pretraining Corpora	Kundan Krishna, Saurabh Garg, Jeffrey Bigham and Zachary Lipton	N/A	N/A
Multi-Row, Multi-Span Distant Supervision For Table+Text Question Answering	Vishwajeet Kumar, Yash Gupta, Saneem Chemmengath, Jaydeep Sen, Soumen Chakrabarti, Samarth Bharadwaj and Feifei Pan	N/A	N/A
An Inclusive Notion of Text	Ilia Kuznetsov and Iryna Gurevych	N/A	N/A
Language Detoxification with Attribute-Discriminative Latent Space	Jin Myung Kwak, Minseon Kim and Sung Ju Hwang	N/A	N/A
Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information	Sunjae Kwon, Rishabh Garodia, Minhwa Lee, Zhichao Yang and hong yu	N/A	N/A
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages	Philippe Laban, Jesse Vig, Wojciech Kryscinski, Shafiq Joty, Caiming Xiong and Chien-Sheng Wu	N/A	N/A
DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains	Yanis Labrak, Adrien Bazoge, Richard Dufour, Mickael Rouvier, Emmanuel Morin, Béatrice Daille and Pierre-Antoine Gourraud	N/A	N/A
Contrastive Error Attribution for Finetuned Language Models	Faisal Ladhak, Esin Durmus and Tatsunori Hashimoto	N/A	N/A
Exploring Better Text Image Translation with Multimodal Codebook	Zhibin Lan, Jiawei Yu, Xiang Li, Wen Zhang, Jian Luan, Bin Wang, Degen Huang and Jinsong Su	N/A	N/A
What about "em"? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns	Anne Lauscher, Debora Nozza, Ehm Miltersen, Archie Crowley and Dirk Hovy	N/A	N/A
Improved Instruction Ordering in Recipe-Grounded Conversation	Duong Le, Ruohao Guo, Wei Xu and Alan Ritter	N/A	N/A
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction	Chen-Yu Lee, Chun-Liang Li, Hao Zhang, Timothy Dozat, Vincent Perot, Guolong Su, Xiang Zhang, Kihyuk Sohn, NIKOLAY GLUSHNEV, Renshen Wang, Joshua Ainslie, Shangbang Long, Siyang Qin, Yasuhisa Fujii, Nan Hua and Tomas Pfister	N/A	N/A
Query-Efficient Black-Box Red Teaming via Bayesian Optimization	Deokjae Lee, JunYeong Lee, Jung-Woo Ha, Jin-Hwa Kim, Sang-Woo Lee, Hwaran Lee and Hyun Oh Song	N/A	N/A
On Complementarity Objectives for Hybrid Retrieval	Dohyeon Lee, Seung-won Hwang, Kyungjae Lee, Seungtaek Choi and Sunghyun Park	N/A	N/A
SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created through Human-Machine Collaboration	Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, BYOUNGPIL KIM, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park and Jung-Woo Ha	N/A	N/A
Revealing Single Frame Bias for Video-and-Language Learning	Jie Lei, Tamara Berg and Mohit Bansal	N/A	N/A
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation	Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen and Chang-Tien Lu	N/A	N/A
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency	Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng and Minnan Luo	N/A	N/A
Tell2Design: A Dataset for Language-Guided Floor Plan Generation	Sicong Leng, Yang Zhou, Mohammed Haroon Dupty, Wee Sun Lee, Sam Joyce and Wei Lu	N/A	N/A
Diverse Demonstrations Improve In-context Compositional Generalization	Itay Levy, Ben Bogin and Jonathan Berant	N/A	N/A
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning	Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen McKeown, Vittorio Castelli, Dan Roth and Bing Xiang	N/A	N/A
Understanding Client Reactions in Online Mental Health Counseling	Anqi Li, Lizhi Ma, Yaling Mei, Hongliang He, Shuai Zhang, Huachuan Qiu and Zhenzhong Lan	N/A	N/A
Toward Interactive Dictation	Belinda Z. Li, Jason Eisner, Adam Pauls and Sam Thomson	N/A	N/A
Python Code Generation by Asking Clarification Questions	Haau-Sing (Xiaocheng) Li, Mohsen Mesgar, André Martins and Iryna Gurevych	N/A	N/A
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation	Hao Li, Viktor Schlegel, Riza Batista-Navarro and Goran Nenadic	N/A	N/A
TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline	Jiang Li, Xiangdong Su and Guanglai Gao	N/A	N/A
Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk	jianquan li, XiangBo Wu, Xiaokang Liu, Qianqian Xie, Prayag Tiwari and Benyou Wang	N/A	N/A
Contextual Distortion Reveals Constituency: Masked Language Models are Implicit Parsers	Jiaxi Li and Wei Lu	N/A	N/A
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?	Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang and Dawei Yin	N/A	N/A
CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality	Liang Li, Ruiying Geng, Chengyang Fang, Bing Li, Can Ma, Rongyu Cao, Binhua Li, Fei Huang and Yongbin Li	N/A	N/A
Text Adversarial Purification as Defense against Adversarial Attacks	Linyang Li, Demin Song and Xipeng Qiu	N/A	N/A
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step	Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang and Yejin Choi	N/A	N/A
Multi-modal Action Chain Abductive Reasoning	Mengze Li, Tianbao Wang, Jiahe Xu, Kairong Han, Shengyu Zhang, Zhou Zhao, Jiaxu Miao, wenqiao zhang, Shiliang Pu and Fei Wu	N/A	N/A
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval	Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih and Xilun Chen	N/A	N/A
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors	Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang and Xipeng Qiu	N/A	N/A
To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion	Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang and Xing Xie	N/A	N/A
Open-Domain Hierarchical Event Schema Induction by Incremental Prompting and Verification	Sha Li, Ruining Zhao, Manling Li, Heng Ji, Chris Callison-Burch and Jiawei Han	N/A	N/A
Sequence Parallelism: Long Sequence Training from System Perspective	Shenggui Li, Fuzhao Xue, Chaitanya Baranwal, Yongbin Li and Yang You	N/A	N/A
Few-shot In-context Learning on Knowledge Base Question Answering	Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su and Wenhu Chen	N/A	N/A
TREA: Tree-Structure Reasoning Schema for Conversational Recommendation	Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie and Dangyang Chen	N/A	N/A
Contrastive Decoding: Open-ended Text Generation as Optimization	Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer and Mike Lewis	N/A	N/A
Unified Demonstration Retriever for In-Context Learning	Xiaonan Li, Kai Lv, Hang Yan, Tianyang Lin, Wei Zhu, Yuan Ni, GUOTONG XIE, Xiaoling Wang and Xipeng Qiu	N/A	N/A
Explicit Syntactic Guidance for Neural Text Generation	Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi and Yue Zhang	N/A	N/A
AtTGen: Attribute Tree Generation for Real-World Attribute Joint Extraction	Yanzeng Li, Bingcong Xue, Ruoyu Zhang and Lei Zou	N/A	N/A
Multi-target Backdoor Attacks for Code Pre-trained Models	Yanzhou Li, Shangqing Liu, Kangjie Chen, Xiaofei Xie, Tianwei Zhang and Yang Liu	N/A	N/A
Translation-Enhanced Multilingual Text-to-Image Generation	Yaoyiran Li, Ching-Yun Chang, Stephen Rawls, Ivan Vulić and Anna Korhonen	N/A	N/A
Making Language Models Better Reasoners with Step-Aware Verifier	Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang LOU and Weizhu Chen	N/A	N/A
TemplateGEC: Improving Grammatical Error Correction with Detection Template	Yinghao Li, Xuebo Liu, Shuo Wang, Peiyuan Gong, Derek F. Wong, Yang Gao, Heyan Huang and Min Zhang	N/A	N/A
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases	Yingji Li, Mengnan Du, Xin Wang and Ying Wang	N/A	N/A
A New Direction in Stance Detection: Target-Stance Extraction in the Wild	Yingjie Li, Krishna Garg and Cornelia Caragea	N/A	N/A
Pre-training Multi-party Dialogue Models with Latent Discourse Inference	Yiyang Li, Xinting Huang, Wei Bi and Hai Zhao	N/A	N/A
EM Pre-training for Multi-party Dialogue Response Generation	Yiyang Li and Hai Zhao	N/A	N/A
Multiview Identifiers Enhanced Generative Retrieval	Yongqi Li, Nan Yang, Liang Wang, Furu Wei and Wenjie Li	N/A	N/A
DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization	Yu Li, Baolin Peng, Pengcheng He, Michel Galley, Zhou Yu and Jianfeng Gao	N/A	N/A
White-Box Multi-Objective Adversarial Attack on Dialogue Generation	Yufei Li, Zexin Li, Yingfan Gao and Cong Liu	N/A	N/A
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts	Yunshui Li, Binyuan Hui, ZhiChao Yin, Min Yang, Fei Huang and Yongbin Li	N/A	N/A
A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text	Yunxin Li, Baotian Hu, Yuxin Ding, Lin Ma and Min Zhang	N/A	N/A
A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues	Yunxin Li, Baotian Hu, Chen Xinyu, Yuxin Ding, Lin Ma and Min Zhang	N/A	N/A
Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training	Zejun Li, Zhihao Fan, Jingjing Chen, Qi Zhang, Xuanjing Huang and Zhongyu Wei	N/A	N/A
Learning to Substitute Spans towards Improving Compositional Generalization	Zhaoyi Li, Ying Wei and Defu Lian	N/A	N/A
FAA: Fine-grained Attention Alignment for Cascade Document Ranking	Zhen Li, Chongyang Tao, Jiazhan Feng, Tao Shen, Dongyan Zhao, Xiubo Geng and Daxin Jiang	N/A	N/A
The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning	Zhuang Li, Lizhen Qu, Philip Cohen, Raj Tumuluri and Gholamreza Haffari	N/A	N/A
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding	Ziheng Li, Shaohan Huang, Zihan Zhang, Zhi-Hong Deng, Qiang Lou, Haizhen Huang, Jian Jiao, Furu Wei, Weiwei Deng and Qi Zhang	N/A	N/A
Dynamic and Efficient Inference for Text Generation via BERT Family	Xiaobo Liang, Juntao Li, Lijun Wu, Ziqiang Cao and Min Zhang	N/A	N/A
Open-ended Long Text Generation via Masked Language Modeling	Xiaobo Liang, Zecheng Tang, Juntao Li and Min Zhang	N/A	N/A
Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization	Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen and Jie Zhou	N/A	N/A
Disentangled Phonetic Representation for Chinese Spelling Correction	Zihong Liang, Xiaojun Quan and Qifan Wang	N/A	N/A
Graph-based Relation Mining for Context-free Out-of-vocabulary Word Embedding Learning	Ziran Liang, Yuyin Lu, HeGang Chen and Yanghui Rao	N/A	N/A
Prompts Can Play Lottery Tickets Well: Achieving Lifelong Information Extraction via Lottery Prompt Tuning	Zujie Liang, feng wei, Yin Jie, YUXI QIAN, Zhenghong Hao and Bing Han	N/A	N/A
Parameter-Efficient Fine-Tuning without Introducing New Latency	Baohao Liao, Yan Meng and Christof Monz	N/A	N/A
Large-Scale Correlation Analysis of Automated Metrics for Topic Models	Jia Peng Lim and Hady Lauw	N/A	N/A
Gloss-Free End-to-End Sign Language Translation	Kezhou Lin, Xiaohan Wang, Linchao Zhu, Ke Sun, bang zhang and Yi Yang	N/A	N/A
TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning	Qika Lin, Jun Liu, Rui Mao, Fangzhi Xu and Erik Cambria	N/A	N/A
TAVT: Towards Transferable Audio-Visual Text Generation	Wang Lin, Tao Jin, Wenwen Pan, Linjun Li, Xize Cheng, Ye Wang and Zhou Zhao	N/A	N/A
An Inner Table Retriever for Robust Table Question Answering	Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adria de Gispert and Gonzalo Iglesias	N/A	N/A
Compositional Generalization without Trees using Multiset Tagging and Latent Permutations	Matthias Lindemann, Alexander Koller and Ivan Titov	N/A	N/A
What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric	Enrico Liscio, Oscar Araque, Lorenzo Gatti, Ionut Constantinescu, Catholijn Jonker, Kyriaki Kalimeri and Pradeep Kumar Murukannaiah	N/A	N/A
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships	Chenzhengyi Liu, Jie Huang, Kerui Zhu and Kevin Chen-Chuan Chang	N/A	N/A
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering	Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier and Julian Eisenschlos	N/A	N/A
Learning with Partial Annotations for Event Detection	Jian Liu, Dianbo Sui, Kang Liu, Haoyan Liu and Zhe Zhao	N/A	N/A
Document-Level Event Argument Extraction With a Chain Reasoning Paradigm	Jian Liu, Chen Liang, Jinan Xu, Haoyan Liu and Zhe Zhao	N/A	N/A
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank	Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen and Rui Yan	N/A	N/A
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations	Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si and Lidong Bing	N/A	N/A
Do Question Answering Modeling Improvements Hold Across Benchmarks?	Nelson F. Liu, Tony Lee, Robin Jia and Percy Liang	N/A	N/A
Character-Aware Models Improve Visual Text Rendering	Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi and Noah Constant	N/A	N/A
RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation	Shuai Liu, Hyundong Cho, Marjorie Freedman, Xuezhe Ma and Jonathan May	N/A	N/A
kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation	Shudong Liu, Xuebo Liu, Derek F. Wong, Zhaocong Li, Wenxiang Jiao, Lidia S. Chao and Min Zhang	N/A	N/A
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?	Shuheng Liu and Alan Ritter	N/A	N/A
Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation	Wei Liu and Michael Strube	N/A	N/A
MGR: Multi-generator Based Rationalization	Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, YuanKai Zhang and Yang Qiu	N/A	N/A
Modeling Structural Similarities between Documents for Coherence Assessment with Graph Convolutional Networks	Wei Liu, Xiyan Fu and Michael Strube	N/A	N/A
Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge	Xuebo Liu, Yutong Wang, Derek F. Wong, Runzhe Zhan, Liangxuan Yu and Min Zhang	N/A	N/A
One Cannot Stand for Everyone! Leveraging Multiple User Simulators\ to train Task-oriented Dialogue Systems	Yajiao LIU, Xin Jiang, Yichun Yin, Yasheng Wang, Fei Mi, Qun Liu, Xiang Wan and Benyou Wang	N/A	N/A
Uncovering and Categorizing Social Biases in Text-to-SQL	Yan Liu, Yan Gao, Zhe Su, Xiaokang Chen, Elliott Ash and Jian-Guang LOU	N/A	N/A
Towards Better Entity Linking with Multi-View Enhanced Distillation	Yi Liu, Yuan Tian, Jianxun Lian, xinlong wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Weiwei Deng and Qi Zhang	N/A	N/A
A Crosslingual Investigation of Conceptualization in 1335 Languages	Yihong Liu, Haotian Ye, Leonie Weissweiler, Philipp Wicke, Renhao Pei, Robert Zangenfeind and Hinrich Schütze	N/A	N/A
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation	Yixin Liu, Alex Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong and Dragomir Radev	N/A	N/A
On Improving Summarization Factual Consistency from Natural Language Feedback	Yixin Liu, Budhaditya Deb, Milagro Teruel, Aaron Halfaker, Dragomir Radev and Ahmed Hassan Awadallah	N/A	N/A
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism	Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang and Hinrich Schütze	N/A	N/A
Binary and Ternary Natural Language Generation	Zechun Liu, Barlas Oguz, Aasish Pappu, Yangyang Shi and Raghuraman Krishnamoorthi	N/A	N/A
XDailyDialog: A Multilingual Parallel Dialogue Corpus	Zeming Liu, Ping Nie, Jie Cai, Haifeng Wang, Zheng-Yu Niu, PENG ZHANG, Mrinmaya Sachan and Kaiping Peng	N/A	N/A
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models	Zheng Liu, Shitao Xiao, Yingxia Shao and Zhao Cao	N/A	N/A
Guiding Computational Stance Detection with Expanded Stance Triangle Framework	Zhengyuan Liu, Yong Keong Yap, Hai Leong Chieu and Nancy Chen	N/A	N/A
Towards Boosting the Open-Domain Chatbot with Human Feedback	Hua Lu, Siqi Bao, Huang He, Fan Wang, Hua Wu and Haifeng Wang	N/A	N/A
What Makes Pre-trained Language Models Better Zero-shot Learners?	Jinghui Lu, dongsheng zhu, weidong Han, Rui Zhao, Brian Mac Namee and Fei Tan	N/A	N/A
Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks	Junyu Lu, Bo Xu, Xiaokun Zhang, Changrong Min, Liang Yang and Hongfei LIN	N/A	N/A
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation	Menglong Lu, Zhen Huang, Yunxiang Zhao, Zhiliang Tian, Yang Liu and Dongsheng Li	N/A	N/A
Distantly Supervised Course Concept Extraction in MOOCs with Academic Discipline	Mengying Lu, Yuquan Wang, Jifan Yu, Yexing Du, Lei Hou and Juanzi Li	N/A	N/A
A Survey of Deep Learning for Mathematical Reasoning	Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck and Kai-Wei Chang	N/A	N/A
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis	Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong and Dacheng Tao	N/A	N/A
Explanation-based Finetuning Makes Models More Robust to Spurious Cues	Josh Magnus Ludan, Yixuan Meng, Tai Nguyen, Saurabh Shah, Qing Lyu, Marianna Apidianaki and Chris Callison-Burch	N/A	N/A
Causality-Guided Multi-Memory Interaction Network for Multivariate Stock Price Movement Prediction	Di Luo, Weiheng Liao, Shuqi Li, Xin Cheng and Rui Yan	N/A	N/A
HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level	Haoran Luo, Haihong E, Yuhao Yang, Yikai Guo, Mingzhi Sun, Tianyu Yao, Zichen Tang, Kaiyang Wan, Meina Song and Wei Lin	N/A	N/A
End-to-end Knowledge Retrieval with Multi-modal Queries	Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang and Chitta Baral	N/A	N/A
CAME: Confidence-guided Adaptive Memory Efficient Optimization	Yang Luo, Xiaozhe REN, Zangwei Zheng, ZHUO JIANG, Xin Jiang and Yang You	N/A	N/A
DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations	Ang Lv, Jinpeng Li, yuhan chen, GAO XING, Ji Zhang and Rui Yan	N/A	N/A
Envisioning Future from the Past: Hierarchical Duality Learning for Multi-Turn Dialogue Generation	Ang Lv, Jinpeng Li, Shufang Xie and Rui Yan	N/A	N/A
Z-ICL: Zero-Shot In-Context Learning with Pseudo-Demonstrations	Xinxi Lyu, Sewon Min, Iz Beltagy, Luke Zettlemoyer and Hannaneh Hajishirzi	N/A	N/A
Cross-lingual Continual Learning	Meryem M’hamdi, Xiang Ren and Jonathan May	N/A	N/A
AMR-based Network for Aspect-based Sentiment Analysis	Fukun Ma, Xuming Hu, Aiwei Liu, Yawen Yang, Shuang Li, Philip S. Yu and Lijie Wen	N/A	N/A
Chain-of-Skills: A Configurable Model for Open-Domain Question Answering	Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg and Jianfeng Gao	N/A	N/A
BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics	Liang Ma, Shuyang Cao, Robert L Logan IV, Di Lu, Shihao Ran, Ke Zhang, Joel Tetreault and Alejandro Jaimes	N/A	N/A
DICE: Data-Efficient Clinical Event Extraction with Generative Models	Mingyu Derek Ma, Alexander Taylor, Wei Wang and Nanyun Peng	N/A	N/A
Learning "O" Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER	Ruotian Ma, xuanting chen, zhang lin, Xin Zhou, Junzhe Wang, Tao Gui, Qi Zhang, Xiang Gao and Yun Wen Chen	N/A	N/A
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition	Tingting Ma, Qianhui Wu, Huiqiang Jiang, Börje Karlsson, Tiejun Zhao and Chin-Yew Lin	N/A	N/A
Few-shot Event Detection: An Empirical Study and a Unified View	Yubo Ma, Zehao Wang, Yixin Cao and Aixin Sun	N/A	N/A
World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Language Models	Ziqiao Ma, Jiayi Pan and Joyce Chai	N/A	N/A
Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts	Mounica Maddela, Megan Ung, Jing Xu, Andrea Madotto, Heather Foran and Y-Lan Boureau	N/A	N/A
LENS: A Learnable Evaluation Metric for Text Simplification	Mounica Maddela, Yao Dou, David Heineman and Wei Xu	N/A	N/A
Ethical Considerations for Machine Translation of Indigenous Languages: Giving a Voice to the Speakers	Manuel Mager, Elisabeth Mager, Katharina Kann and Ngoc Thang Vu	N/A	N/A
HyperMixer: An MLP-based Low Cost Alternative to Transformers	Florian Mai, Arnaud Pannatier, Fabio Fehr, Haolin Chen, Francois Marelli, Francois Fleuret and James Henderson	N/A	N/A
Small Data, Big Impact: Leveraging Minimal Data for Effective Machine Translation	Jean Maillard, Cynthia Gao, Elahe Kalbassi, Kaushik Ram Sadagopan, Vedanuj Goswami, Philipp Koehn, Angela Fan and Francisco Guzman	N/A	N/A
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations	Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee and Kristina Toutanova	N/A	N/A
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories	Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi and Hannaneh Hajishirzi	N/A	N/A
Benchmarking Large Language Model Capabilities for Conditional Generation	Joshua Maynez, Priyanka Agrawal and Sebastian Gehrmann	N/A	N/A
Logic-driven Indirect Supervision: An Application to Crisis Counseling	Mattia Medina Grespan, Meghan Broadbent, Xinyao Zhang, Katherine Axford, Brent Kious, Zac Imel and Vivek Srikumar	N/A	N/A
Resolving Ambiguities in Text-to-Image Generative Models	Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard Zemel, Aram Galstyan and Rahul Gupta	N/A	N/A
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models	Kai Mei, Zheng Li, Zhenting Wang, Yang Zhang and Shiqing Ma	N/A	N/A
On the Efficacy of Sampling Adapters	Clara Meister, Tiago Pimentel, Luca Malagutti, Ethan Wilcox and Ryan Cotterell	N/A	N/A
From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models	Julia Mendelsohn, Ronan Le Bras, Yejin Choi and Maarten Sap	N/A	N/A
Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments	Ethan Mendes, Yang Chen, Wei Xu and Alan Ritter	N/A	N/A
Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages	Arnav Mhaske, Harshit Kedia, Sumanth Doddapaneni, Mitesh M. Khapra, Pratyush Kumar, Rudra Murthy and Anoop Kunchukuttan	N/A	N/A
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey	Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang and Samuel R. Bowman	N/A	N/A
LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction	Jeremiah Milbauer, Annie Louis, Mohammad Javad Hosseini, Alex Fabrikant, Donald Metzler and Tal Schuster	N/A	N/A
Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction	Changrong Min, Ximing Li, Liang Yang, Zhilin Wang, Bo Xu and Hongfei LIN	N/A	N/A
Where’s the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation	Benjamin Minixhofer, Jonas Pfeiffer and Ivan Vulić	N/A	N/A
Privacy-Preserving Domain Adaptation of Semantic Parsers	Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto, Jason Eisner and Richard Shin	N/A	N/A
What is the Real Intention behind this Question? Dataset Collection and Intention Classification	Maryam Sadat Mirzaei, Kourosh Meshgi and Satoshi Sekine	N/A	N/A
PAL to Lend a Helping Hand: Towards Building an Emotion Adaptive Polite and Empathetic Counseling Conversational Agent	Kshitij Mishra, Priyanshu Priya and Asif Ekbal	N/A	N/A
ConvGQR: Generative Query Reformulation for Conversational Search	Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang and Jian-Yun Nie	N/A	N/A
DecompX: Explaining Transformers Decisions by Propagating Token Decomposition	Ali Modarressi, Mohsen Fayyaz, Ehsan Aghazadeh, Yadollah Yaghoobzadeh and Mohammad Taher Pilehvar	N/A	N/A
Extrinsic Evaluation of Machine Translation Metrics	Nikita Moghe, Tom Sherborne, Mark Steedman and Alexandra Birch	N/A	N/A
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It	Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu and Sungroh Yoon	N/A	N/A
Dynamic Regularization in UDA for Transformers in Multimodal Classification	Ivonne Monter-Aldana, Adrian Pastor Lopez Monroy and Fernando Sanchez-Vega	N/A	N/A
Randomized Smoothing with Masked Inference for Adversarially Robust Text Classifications	Han Cheol Moon, Shafiq Joty, Ruochen Zhao, Megh Thakkar and Chi Xu	N/A	N/A
UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language	Xinyi Mou, Zhongyu Wei, Qi Zhang and Xuanjing Huang	N/A	N/A
Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery	Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian and Weiran Xu	N/A	N/A
How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases	Aaron Mueller and Tal Linzen	N/A	N/A
Crosslingual Generalization through Multitask Finetuning	Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M Saiful Bari, Sheng Shen, Zheng Xin Yong, Hailey Schoelkopf, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, KHALID ALMUBARAK, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff and Colin Raffel	N/A	N/A
DIP: Dead code Insertion based Black-box Attack for Programming Language Model	CheolWon Na, YunSeok Choi and Jee-Hyong Lee	N/A	N/A
Efficient Transformers with Dynamic Token Pooling	Piotr Nawrot, Jan Chorowski, Adrian Lancucki and Edoardo Maria Ponti	N/A	N/A
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering	Ella Neeman, Roee Aharoni, Or Honovich, Leshem Choshen, Idan Szpektor and Omri Abend	N/A	N/A
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP	Jingwei Ni, Zhijing Jin, QIAN WANG, Mrinmaya Sachan and Markus Leippold	N/A	N/A
Finding the Pillars of Strength for Multi-Head Attention	Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei and Erik Cambria	N/A	N/A
NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist	Iftitahu Nimah, Meng Fang, Vlado Menkovski and Mykola Pechenizkiy	N/A	N/A
OD-RTE: A One-Stage Object Detection Framework for Relational Triple Extraction	Jinzhong Ning, Zhihao Yang, Yuanyuan Sun, Zhizheng Wang and Hongfei LIN	N/A	N/A
On "Scientific Debt" in NLP: A Case for More Rigour in Language Model Pre-Training Research	Made Nindyatama Nityasya, Haryo Wibowo, Alham Fikri Aji, Genta Winata, Radityo Eko Prasojo, Phil Blunsom and Adhiguna Kuncoro	N/A	N/A
Using counterfactual contrast to improve compositional generalization for multi-step quantitative reasoning	Armineh Nourbakhsh, Sameena Shah and Carolyn Rosé	N/A	N/A
Token-wise Decomposition of Autoregressive Language Model Hidden States for Analyzing Model Predictions	Byung-Doh Oh and William Schuler	N/A	N/A
Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model	Ali Omrani, Alireza Salkhordeh Ziabari, Charles Yu, Preni Golazizian, Brendan Kennedy, Mohammad Atari, Heng Ji and Morteza Dehghani	N/A	N/A
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge	Yasumasa Onoe, Michael Zhang, Shankar Padmanabhan, Greg Durrett and Eunsol Choi	N/A	N/A
Efficient Semiring-Weighted Earley Parsing	Andreas Opedal, Ran Zmigrod, Tim Vieira, Ryan Cotterell and Jason Eisner	N/A	N/A
BLIND: Bias Removal With No Demographics	Hadas Orgad and Yonatan Belinkov	N/A	N/A
A Textual Dataset for Situated Proactive Response Selection	Naoki Otani, Jun Araki, HyeongSik Kim and Eduard Hovy	N/A	N/A
Songs Across Borders: Singable and Controllable Neural Lyric Translation	Longshen Ou, Xichu Ma, Min-Yen Kan and Ye Wang	N/A	N/A
WACO: Word-Aligned Contrastive Learning for Speech Translation	Siqi Ouyang, Rong Ye and Lei Li	N/A	N/A
Compositional Data Augmentation for Abstractive Conversation Summarization	Siru Ouyang, Jiaao Chen, Jiawei Han and Diyi Yang	N/A	N/A
On Prefix-tuning for Lightweight Out-of-distribution Detection	Yawen Ouyang, Yongchang Cao, Yuan Gao, Zhen Wu, Jianbing Zhang and Xinyu Dai	N/A	N/A
ThinkSum: Probabilistic reasoning over sets using large language models	Batu Ozturkler, Nikolay Malkin, Zhen Wang and Nebojsa Jojic	N/A	N/A
Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization	Artidoro Pagnoni, Alex Fabbri, Wojciech Kryscinski and Chien-Sheng Wu	N/A	N/A
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering	Vaishali Pal, Andrew Yates, Evangelos Kanoulas and Maarten de Rijke	N/A	N/A
Using Neural Machine Translation for Generating Diverse Challenging Exercises for Language Learner	Frank Palma Gomez, Subhadarshi Panda, Michael Flor and Alla Rozovskaya	N/A	N/A
Fact-Checking Complex Claims with Program-Guided Reasoning	Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan and Preslav Nakov	N/A	N/A
Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment	Rohan Pandey, Rulin Shao, Paul Pu Liang, Ruslan Salakhutdinov and Louis-Philippe Morency	N/A	N/A
Reward Gaming in Conditional Text Generation	Richard Yuanzhe Pang, Vishakh Padmakumar, Thibault Sellam, Ankur Parikh and He He	N/A	N/A
Attention as a Guide for Simultaneous Speech Translation	Sara Papi, Matteo Negri and Marco Turchi	N/A	N/A
MM-SHAP: A Performance-agnostic Metric for Measuring Multimodal Contributions in Vision and Language Models & Tasks	Letitia Parcalabescu and Anette Frank	N/A	N/A
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles	Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang and Nanyun Peng	N/A	N/A
Deep Model Compression Also Helps Models Capture Ambiguity	Hancheol Park and Jong Park	N/A	N/A
Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions	Mayur Patidar, Prayushi Faldu, Avinash Singh, Lovekesh Vig, Indrajit Bhattacharya and Mausam	N/A	N/A
Beyond English-Centric Bitexts for Better Multilingual Language Representation Learning	Barun Patra, Saksham Singhal, Shaohan Huang, Zewen Chi, Li Dong, Furu Wei, Vishrav Chaudhary and Xia Song	N/A	N/A
Dating Greek Papyri with Text Regression	John Pavlopoulos, Maria Konstantinidou, Isabelle Marthot-Santaniello, Holger Essler and Asimina Paparigopoulou	N/A	N/A
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications	Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, ChengXiang Zhai and Yunyao Li	N/A	N/A
FSUIE: A Novel Fuzzy Span Mechanism for Universal Information Extraction	Tianshuo Peng, Zuchao Li, Lefei Zhang, Bo Du and Hai Zhao	N/A	N/A
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark	Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun and Xing Xie	N/A	N/A
Neural Machine Translation for Mathematical Formulae	Felix Petersen, Moritz Schubotz, Andre Greiner-Petter and Bela Gipp	N/A	N/A
Dealing with Semantic Underspecification in Multimodal NLP	Sandro Pezzelle	N/A	N/A
Towards a Common Understanding of Contributing Factors for Cross-Lingual Transfer in Multilingual Language Models: A Review	Fred Philippy, Siwen Guo and Shohreh Haddadan	N/A	N/A
UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective	yang ping, JunYu Lu, ruyi gan, Junjie Wang, Yuxiang Zhang, Pingjian Zhang and Jiaxing Zhang	N/A	N/A
Learning Language-Specific Layers for Multilingual Machine Translation	Telmo Pires, Robin M. Schmidt, Yi-Hsiu Liao and Stephan Peitz	N/A	N/A
Multilingual Multifaceted Understanding of Online News in Terms of Genre, Framing, and Persuasion Techniques	Jakub Piskorski, Nicolas Stefanovitch, Nikolaos Nikolaidis, Giovanni Da San Martino and Preslav Nakov	N/A	N/A
No clues good clues: out of context Lexical Relation Classification	Lucia Pitarch, Jordi Bernad, Lacramioara Dranca, Carlos Bobed Lisbona and Jorge Gracia	N/A	N/A
Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks	Moritz Plenz, Juri Opitz, Philipp Heinisch, Philipp Cimiano and Anette Frank	N/A	N/A
Concise Answers to Complex Questions: Summarization of Long-form Answers	Abhilash Potluri, Fangyuan Xu and Eunsol Choi	N/A	N/A
Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model	Jakob Prange and Man Ho Ivy Wong	N/A	N/A
MeetingQA: Extractive Question-Answering on Meeting Transcripts	Archiki Prasad, Trung Bui, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt and Mohit Bansal	N/A	N/A
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic	Connor Pryor, Quan Yuan, Jeremiah Liu, Mehran Kazemi, Deepak Ramachandran, Tania Bedrax-Weiss and Lise Getoor	N/A	N/A
Conjunct Lengths in English, Dependency Length Minimization, and Dependency Structure of Coordination	Adam Przepiórkowski and Michał Woźniak	N/A	N/A
Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization	Dongqi Pu, Yifan Wang and Vera Demberg	N/A	N/A
ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations	Valentina Pyatkin, Jena D. Hwang, Vivek Srikumar, Ximing Lu, Liwei Jiang, Yejin Choi and Chandra Bhagavatula	N/A	N/A
Limitations of Language Models in Arithmetic and Symbolic Induction	Jing Qian, Hong Wang, Zekun Li, Shiyang Li and Xifeng Yan	N/A	N/A
UniLG: A Unified Structure-aware Framework for Lyrics Generation	Tao Qian, Fan Lou, Jiatong Shi, Yuning Wu, Shuai Guo, Xiang Yin and Qin Jin	N/A	N/A
ParaLS: Lexical Substitution via Pretrained Paraphraser	Jipeng Qiang, Kang Liu, Yun Li, Yunhao Yuan and Yi Zhu	N/A	N/A
Reasoning with Language Model Prompting: A Survey	Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang and Huajun Chen	N/A	N/A
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?	Chengwei Qin, Shafiq Joty, Qian Li and Ruochen Zhao	N/A	N/A
WebCPM: Interactive Web Search for Chinese Long-form Question Answering	Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun and Jie Zhou	N/A	N/A
A Survey on Asking Clarification Questions Datasets in Conversational Systems	Hossein A. Rahmani, Xi Wang, Yue Feng, Qiang Zhang, Emine Yilmaz and Aldo Lipani	N/A	N/A
What Are You Token About? Dense Retrieval as Distributions Over the Vocabulary	Ori Ram, Liat Bezalel, Adi Zicher, Yonatan Belinkov, Jonathan Berant and Amir Globerson	N/A	N/A
Single Sequence Prediction over Reasoning Graphs for Multi-hop QA	Gowtham Ramesh, Makesh Narsimhan Sreedhar and Junjie Hu	N/A	N/A
A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models	Krithika Ramesh, Arnav Chavan, Shrey Pandit and Sunayana Sitaram	N/A	N/A
Knowledge of cultural moral norms in large language models	Aida Ramezani and Yang Xu	N/A	N/A
Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning	Shivaen Ramshetty, Gaurav Verma and Srijan Kumar	N/A	N/A
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering	Anku Rani, S.M Towhidul Islam Tonmoy, Dwip Dalal, Shreya Gautam, Megha Chakraborty, Aman Chadha, Amit Sheth and Amitava Das	N/A	N/A
Conjunct Resolution in the Face of Verbal Omissions	Royi Rassin, Yoav Goldberg and Reut Tsarfaty	N/A	N/A
Parallel Context Windows for Large Language Models	Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown and Yoav Shoham	N/A	N/A
Linear Guardedness and its Implications	Shauli Ravfogel, Yoav Goldberg and Ryan Cotterell	N/A	N/A
TOME: A Two-stage Approach for Model-based Retrieval	Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen and Haifeng Wang	N/A	N/A
Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation	Yubing Ren, Yanan Cao, Ping Guo, Fang Fang, Wei Ma and Zheng Lin	N/A	N/A
Tailoring Instructions to Student’s Learning Levels Boosts Knowledge Distillation	Yuxin Ren, Zihan Zhong, Xingjian Shi, Yi Zhu, Chun Yuan and Mu Li	N/A	N/A
Exploring Large Language Models for Classical Philology	Frederick Riemenschneider and Anette Frank	N/A	N/A
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback	Paul Roit, Johan Ferret, Lior Shani, Roee Aharoni, Geoffrey Cideron, Robert Dadashi, Matthieu Geist, Sertan Girgin, Leonard Hussenot, Orgad Keller, Nikola Momchev, Sabela Ramos Garea, Piotr Stanczyk, Nino Vieillard, Olivier Bachem, Gal Elidan, Avinatan Hassidim, Olivier Pietquin and Idan Szpektor	N/A	N/A
Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings	Daniel Rotem, Michael Hassid, Jonathan Mamou and Roy Schwartz	N/A	N/A
Distributed Marker Representation for Ambiguous Discourse Markers and Entangled Relations	Dongyu Ru, Lin Qiu, Xipeng Qiu, Yue Zhang and Zheng Zhang	N/A	N/A
A Dataset of Argumentative Dialogues on Scientific Papers	Federico Ruggeri, Mohsen Mesgar and Iryna Gurevych	N/A	N/A
Helping a Friend or Supporting a Cause? Disentangling Active and Passive Cosponsorship in the U.S. Congress	Giuseppe Russo, Christoph Gote, Laurence Brandenberger, Sophia Johanna Schlosser and Frank Schweitzer	N/A	N/A
Revisiting non-English Text Simplification: A Unified Multilingual Benchmark	Michael Ryan, Tarek Naous and Wei Xu	N/A	N/A
ArgU: A Controllable Factual Argument Generator	Sougata Saha and Rohini Srihari	N/A	N/A
IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages	Ananya Sai B, Tanay Dixit, Vignesh Nagarajan, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra and Raj Dabre	N/A	N/A
Hidden Schema Networks	Ramses Sanchez, Lukas Conrads, Pascal Welke, Kostadin Cvejoski and Cesar Ojeda Marin	N/A	N/A
Accelerating Transformer Inference for Translation via Parallel Decoding	Andrea Santilli, Silvio Severino, Emilian Postolache, Valentino Maiorca, Michele Mancusi, Riccardo Marin and Emanuele Rodola	N/A	N/A
NLPositionality: Characterizing Design Biases of Datasets and Models	Sebastin Santy, Jenny Liang, Ronan Le Bras, Katharina Reinecke and Maarten Sap	N/A	N/A
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning	Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu and Xiang Ren	N/A	N/A
VendorLink: An NLP approach for Identifying & Linking Vendor Migrants & Potential Aliases on Darknet Markets	Vageesh Saxena, Nils Rethmeier, Gijs van Dijck and Gerasimos Spanakis	N/A	N/A
Multilingual Conceptual Coverage in Text-to-Image Models	Michael Saxon and William Yang Wang	N/A	N/A
Tree-Based Representation and Generation of Natural and Mathematical Language	Alexander Scarlatos and Andrew Lan	N/A	N/A
Free Lunch: Robust Cross-Lingual Transfer via Model Checkpoint Averaging	Fabian Schmidt, Ivan Vulić and Goran Glavaš	N/A	N/A
Minding Language Models’ (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker	Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi and Yulia Tsvetkov	N/A	N/A
Ranking-Enhanced Unsupervised Sentence Representation Learning	Yeon Seonwoo, Guoyin Wang, Changmin Seo, Sajal Choudhary, Jiwei Li, Xiang Li, Puyang Xu, Sunghyun Park and Alice Oh	N/A	N/A
Training-free Neural Architecture Search for RNNs and Transformers	Aaron Serianni and Jugal Kalita	N/A	N/A
Trillion Dollar Words: A New Financial Dataset, Task & Market Analysis	Agam Shah, Suvan Paturi and Sudheer Chava	N/A	N/A
Causes and Cures for Interference in Multilingual Translation	Uri Shaham, Maha Elbayad, Vedanuj Goswami, Omer Levy and Shruti Bhosale	N/A	N/A
On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning	Omar Shaikh, Hongxin Zhang, William Held, Michael Bernstein and Diyi Yang	N/A	N/A
Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction	Ashish Sharma, Kevin Rushton, Inna Lin, David Wadden, Khendra Lucas, Adam Miner, Theresa Nguyen and Tim Althoff	N/A	N/A
Learning Non-linguistic Skills without Sacrificing Linguistic Proficiency	Mandar Sharma, Nikhil Muralidhar and Naren Ramakrishnan	N/A	N/A
When and how to paraphrase for named entity recognition?	Saket Sharma, Aviral Joshi, Yiyun Zhao, Namrata Mukhija, Hanoz Bhathena, Prateek Singh and Sashank Santhanam	N/A	N/A
MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization	Shivam Sharma, Ramaneswaran S, Udit Arora, Md. Shad Akhtar and Tanmoy Chakraborty	N/A	N/A
Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Paths	Xiangqing Shen, Siwei Wu and Rui Xia	N/A	N/A
PromptNER: Prompt Locating and Typing for Named Entity Recognition	Yongliang Shen, Zeqi Tan, Shuhui Wu, Wenqi Zhang, Rongsheng Zhang, Yadong Xi, Weiming Lu and Yueting Zhuang	N/A	N/A
DiffusionNER: Boundary Diffusion for Named Entity Recognition	Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu and Yueting Zhuang	N/A	N/A
MultiEMO: An Attention-Based Correlation-Aware Multimodal Fusion Framework for Emotion Recognition in Conversations	Tao Shi and Shao-Lun Huang	N/A	N/A
MidMed: Towards Mixed-Type Dialogues for Medical Consultation	Xiaoming Shi, Zeming Liu, Chuan Wang, Haitao Leng, Kui Xue, Xiaofan Zhang and Shaoting Zhang	N/A	N/A
RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue	Zhengliang Shi, Weiwei Sun, Shuo Zhang, Zhen Zhang, Pengjie Ren and Zhaochun Ren	N/A	N/A
Pivotal Role of Language Modeling in Recommender Systems: Enriching Task-specific and Task-agnostic Representation Learning	Kyuyong Shin, Hanock Kwak, Wonjae Kim, Jisu Jeong, Seungjae Jung, Kyungmin Kim, Jung-Woo Ha and Sang-Woo Lee	N/A	N/A
SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks	Suwon Shon, Siddhant Arora, Chyi-Jiunn Lin, Ankita Pasad, Felix Wu, Roshan S Sharma, Wei-Lun Wu, Hung-yi Lee, Karen Livescu and Shinji Watanabe	N/A	N/A
Evaluate AMR Graph Similarity via Self-supervised Learning	Ziyi Shou and Fangzhen Lin	N/A	N/A
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations	Chenglei Si, Dan Friedman, Nitish Joshi, Shi Feng, Danqi Chen and He He	N/A	N/A
READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises	Chenglei Si, Zhengyan Zhang, Yingfa Chen, Xiaozhi Wang, Zhiyuan Liu and Maosong Sun	N/A	N/A
Combo of Thinking and Observing for Outside-Knowledge VQA	Qingyi Si, Yuchen Mo, Zheng Lin, HUISHAN JI and Weiping Wang	N/A	N/A
Learning to Generate Equitable Text in Dialogue from Biased Training Data	Anthony Sicilia and Malihe Alikhani	N/A	N/A
BIG-C: a Multimodal Multi-Purpose Dataset for Bemba	Claytone Sikasote, Eunice Mukonde, Md Mahfuz Ibn Alam and Antonios Anastasopoulos	N/A	N/A
Peeking inside the black box: A Commonsense-aware Generative Framework for Explainable Complaint Detection	Apoorva Singh, Raghav Jain, Prince Jha and Sriparna Saha	N/A	N/A
Forgotten Knowledge: Examining the Citational Amnesia in NLP	Janvijay Singh, Mukund Rungta, Diyi Yang and Saif Mohammad	N/A	N/A
EEL: Efficiently Encoding Lattices for Reranking	Prasann Singhal, Jiacheng Xu, Xi Ye and Greg Durrett	N/A	N/A
Language model acceptability judgements are not always robust to context	Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy and Adina Williams	N/A	N/A
FERMAT: An Alternative to Accuracy for Numerical Reasoning	Jasivan Sivakumar and Nafise Sadat Moosavi	N/A	N/A
To Revise or Not to Revise: Learning to Detect Improvable Claims for Argumentative Writing Support	Gabriella Skitalinskaya and Henning Wachsmuth	N/A	N/A
A Simple and Flexible Modeling for Mental Disorder Detection by Learning from Clinical Questionnaires	Hoyun Song, Jisu Shin, Huije Lee and Jong Park	N/A	N/A
Peer-Label Assisted Hierarchical Text Classification	Junru Song, Feifei Wang and Yang Yang	N/A	N/A
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling	Yu Song, Santiago Miret and Bang Liu	N/A	N/A
Grounding Characters and Places in Narrative Text	Sandeep Soni, Amanpreet Sihra, Elizabeth Evans, Matthew Wilkens and David Bamman	N/A	N/A
Unsupervised Extractive Summarization of Emotion Triggers	Tiberiu Sosea, Hongli Zhan, Junyi Jessy Li and Cornelia Caragea	N/A	N/A
Local Byte Fusion for Neural Machine Translation	Makesh Narsimhan Sreedhar, Xiangpeng Wan, Yu Cheng and Junjie Hu	N/A	N/A
Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA	Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou and Benjamin Van Durme	N/A	N/A
DEplain: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification	Regina Stodden, Omar Momen and Laura Kallmeyer	N/A	N/A
An Ordinal Latent Variable Model of Conflict Intensity	Niklas Stoehr, Lucas Torroba Hennigen, Josef Valvoda, Robert West, Ryan Cotterell and Aaron Schein	N/A	N/A
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models	Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schoelkopf and Mrinmaya Sachan	N/A	N/A
Unsupervised Selective Rationalization with Noise Injection	Adam Storek, Melanie Subbiah and Kathleen McKeown	N/A	N/A
NLP Reproducibility For All: Understanding Experiences of Beginners	Shane Storks, Keunwoo Yu, Ziqiao Ma and Joyce Chai	N/A	N/A
WikiBio: a Semantic Resource for the Intersectional Analysis of Biographical Events	Marco Antonio Stranisci, Rossana Damiano, Enrico Mensa, Viviana Patti, Daniele Radicioni and Tommaso Caselli	N/A	N/A
History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling	Hao Sun, Yang Li, Liwei Deng, Bowen Li, Binyuan Hui, Binhua Li, Yunshi Lan, Yan Zhang and Yongbin Li	N/A	N/A
MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions	Hao Sun, Zhexin Zhang, Fei Mi, Yasheng Wang, Wei Liu, Jianwei Cui, Bin Wang, Qun Liu and Minlie Huang	N/A	N/A
Dialect-robust Evaluation of Generated Text	Jiao Sun, Thibault Sellam, Elizabeth Clark, Tu Vu, Timothy Dozat, Dan Garrette, Aditya Siddhant, Jacob Eisenstein and Sebastian Gehrmann	N/A	N/A
Layer-wise Fusion with Modality Independence Modeling for Multi-modal Emotion Recognition	Jun Sun, Shoukang Han, Yu-Ping Ruan, Xiaoning Zhang, Shu-Kai Zheng, Yulong Liu, Yuxin Huang and Taihao Li	N/A	N/A
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding	Li Sun, Florian Luisier, Kayhan Batmanghelich, Dinei Florencio and Cha Zhang	N/A	N/A
Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction	Qi Sun, Kun Huang, Xiaocui Yang, Pengfei Hong, Kun Zhang and Soujanya Poria	N/A	N/A
Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning	Tianxiang Sun, Zhengfu He, Qin Zhu, Xipeng Qiu and Xuanjing Huang	N/A	N/A
Backdooring Neural Code Search	Weisong Sun, Yuchen Chen, Guanhong Tao, Chunrong Fang, Xiangyu Zhang, Quanjun Zhang and Bin Luo	N/A	N/A
Answering Ambiguous Questions via Iterative Prompting	Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin CHEN, Maarten de Rijke and Zhaochun Ren	N/A	N/A
A Length-Extrapolatable Transformer	Yutao Sun, Li Dong, Barun Patra, Shuming Ma, Shaohan Huang, Alon Benhaim, Vishrav Chaudhary, Xia Song and Furu Wei	N/A	N/A
IDRISI-RA: The First Arabic Location Mention Recognition Dataset of Disaster Tweets	Reem Suwaileh, Muhammad Imran and Tamer Elsayed	N/A	N/A
Why Aren’t We NER Yet? Artifacts of ASR Errors in Named Entity Recognition in Spontaneous Speech Transcripts	Piotr Szymański, Lukasz Augustyniak, Mikolaj Morzy, Adrian Szymczak, Krzysztof Surdyk and Piotr Żelasko	N/A	N/A
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models	Qingyu Tan, Hwee Tou Ng and Lidong Bing	N/A	N/A
VisText: A Benchmark for Semantically Rich Chart Captioning	Benny Tang, Angie Boggust and Arvind Satyanarayan	N/A	N/A
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation	Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin and Frank Guerin	N/A	N/A
Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors	Liyan Tang, Tanya Goyal, Alex Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin Rousseau and Greg Durrett	N/A	N/A
What the DAAM: Interpreting Stable Diffusion Using Cross Attention	Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin and Ferhan Ture	N/A	N/A
Multilingual Knowledge Graph Completion with Language-Sensitive Multi-Graph Attention	Rongchuan Tang, Yang Zhao, Chengqing Zong and Yu Zhou	N/A	N/A
Learning to Imagine: Visually-Augmented Natural Language Generation	Tianyi Tang, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao and Ji-Rong Wen	N/A	N/A
Learning Dynamic Contextualised Word Embeddings via Template-based Temporal Adaptation	Xiaohang Tang, Yi Zhou and Danushka Bollegala	N/A	N/A
Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona	Yihong Tang, Bo Wang, Miao Fang, Dongming Zhao, Kun Huang, Ruifang He and Yuexian Hou	N/A	N/A
Hybrid Transducer and Attention based Encoder-Decoder Modeling for Speech-to-Text Tasks	Yun Tang, Anna Sun, Hirofumi Inaguma, Xinyue Chen, Ning Dong, Xutai Ma, Paden Tomasello and Juan Pino	N/A	N/A
Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment	Eshaan Tanwar, Subhabrata Dutta, Manish Borthakur and Tanmoy Chakraborty	N/A	N/A
CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection	Chongyang Tao, Jiazhan Feng, Tao Shen, Chang Liu, Juntao Li, Xiubo Geng and Daxin Jiang	N/A	N/A
UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning	Zhengwei Tao, Zhi Jin, Haiyan Zhao, Chengfeng Dou, yongqiang zhao, Tao Shen and Chongyang Tao	N/A	N/A
What’s the Meaning of Superhuman Performance in Today’s NLU?	Simone Tedeschi, Johan Bos, Thierry Declerck, Jan Hajič, Daniel Hershcovich, Eduard Hovy, Alexander Koller, Simon Krek, Steven Schockaert, Rico Sennrich, Ekaterina Shutova and Roberto Navigli	N/A	N/A
We Understand Elliptical Sentences, and Language Models should Too: A New Dataset for Studying Ellipsis and its Interaction with Thematic Fit	Davide Testa, Emmanuele Chersoni and Alessandro Lenci	N/A	N/A
Being Right for Whose Right Reasons?	Terne Sasha Thorn Jakobsen, Laura Cabello and Anders Søgaard	N/A	N/A
Dynamic Routing Transformer Network for Multimodal Sarcasm Detection	Yuan Tian, Nan Xu, Ruike Zhang and Wenji Mao	N/A	N/A
Unsupervised Melody-to-Lyrics Generation	Yufei Tian, Anjali Narayan-Chen, Shereen Oraby, Alessandra Cervone, Gunnar Sigurdsson, Chenyang Tao, Wenbo Zhao, Tagyoung Chung, Jing Huang and Nanyun Peng	N/A	N/A
A New Aligned Simple German Corpus	Vanessa Toborek, Moritz Busch, Malte Boßert, Christian Bauckhage and Pascal Welke	N/A	N/A
Are Fairy Tales Fair? Analyzing Gender Bias in Temporal Narrative Event Chains of Children’s Fairy Tales	Paulina Toro Isaza, Guangxuan Xu, Toye Oloko, Yufang Hou, Nanyun Peng and Dakuo Wang	N/A	N/A
Model-Based Simulation for Optimising Smart Reply	Benjamin Towle and Ke Zhou	N/A	N/A
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation	Marcos Treviso, Alexis Ross, Nuno M. Guerreiro and André Martins	N/A	N/A
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions	Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot and Ashish Sabharwal	N/A	N/A
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding	Yi Tu, Ya Guo, Huan Chen and jinyang tang	N/A	N/A
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection	Rheeya Uppaal, Junjie Hu and Yixuan Li	N/A	N/A
Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach	Nidhi Vakil and Hadi Amiri	N/A	N/A
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge	Vasudha Varadarajan, Swanie Juhng, Syeda Mahwish, Xiaoran Liu, Jonah Luby, Christian Luhmann and H. Andrew Schwartz	N/A	N/A
Post-Abstention: Towards Reliably Re-Attempting the Abstained Instances in QA	Neeraj Varshney and Chitta Baral	N/A	N/A
Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks	Artem Vazhentsev, Gleb Kuzmin, Akim Tsvigun, Alexander Panchenko, Maxim Panov, Mikhail Burtsev and Artem Shelmanov	N/A	N/A
Prompting PaLM for Translation: Assessing Strategies and Performance	David Vilar, Markus Freitag, Colin Cherry, Jiaming Luo, Viresh Ratnakar and George Foster	N/A	N/A
DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions	Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu and Graham Neubig	N/A	N/A
Does GPT-3 Grasp Metaphors? Identifying Metaphor Mappings with Generative Language Models	Lennart Wachowiak and Dagmar Gromann	N/A	N/A
Revisiting Relation Extraction in the era of Large Language Models	Somin Wadhwa, Silvio Amir and Byron C. Wallace	N/A	N/A
Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog	Fanqi Wan, Weizhou Shen, Ke Yang, Xiaojun Quan and Wei Bi	N/A	N/A
Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph	Qizhi Wan, Changxuan Wan, Keli Xiao, Dexi Liu, Chenliang Li, Bolong Zheng, Xiping Liu and Rong Hu	N/A	N/A
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters	Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer and Huan Sun	N/A	N/A
Simple and Effective Unsupervised Speech Translation	Changhan Wang, Hirofumi Inaguma, Peng-Jen Chen, Ilia Kulikov, Yun Tang, Wei-Ning Hsu, Michael Auli and Juan Pino	N/A	N/A
Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring	Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge and Qing Gu	N/A	N/A
DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function	Haiming Wang, Ye Yuan, Zhengying Liu, Jianhao Shen, Yichun Yin, Jing Xiong, Enze Xie, Han Shi, Yujun Li, lin li, Jian Yin, Zhenguo Li and Xiaodan Liang	N/A	N/A
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation	Huimin Wang, Wai Chung Kwan, Kam-Fai Wong and Yefeng Zheng	N/A	N/A
Towards Unifying Multi-Lingual and Cross-Lingual Summarization	Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu and Jie Zhou	N/A	N/A
Easy Guided Decoding in Providing Suggestions for Interactive Machine Translation	Ke Wang, Xin Ge, Jiayi Wang, Yuqi Zhang and Yu Zhao	N/A	N/A
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models	Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee and Ee-Peng Lim	N/A	N/A
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval	Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder and Furu Wei	N/A	N/A
Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models	Lijing Wang, Yingya Li, Timothy Miller, Steven Bethard and Guergana Savova	N/A	N/A
A Theory of Unsupervised Speech Recognition	Liming Wang, Mark Hasegawa-Johnson and Chang Yoo	N/A	N/A
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment	Lingzhi Wang, Tong Chen, Wei Yuan, Xingshan Zeng, Kam-Fai Wong and Hongzhi Yin	N/A	N/A
A Survey on Zero Pronoun Translation	Longyue Wang, Siyou Liu, Mingzhou Xu, Linfeng Song, Shuming Shi and Zhaopeng Tu	N/A	N/A
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations	Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey Kuehl, Erin Bransom and Byron Wallace	N/A	N/A
SCOTT: Self-Consistent Chain-of-Thought Distillation	Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin and Xiang Ren	N/A	N/A
MUSTIE: Multimodal Structural Transformer for Web Information Extraction	Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz and Dongfang Liu	N/A	N/A
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking	Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao and Li Guo	N/A	N/A
Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models	Rui Wang, Jianzhu Bao, Fei Mi, Yi Chen, Hongru Wang, Yasheng Wang, Yitong Li, Lifeng Shang, Kam-Fai Wong and Ruifeng Xu	N/A	N/A
ReCode: Robustness Evaluation of Code Generation Models	Shiqi Wang, Zheng Li, Haifeng Qian, Chenghao Yang, Zijian Wang, Mingyue Shang, Varun Kumar, Samson Tan, Baishakhi Ray, Parminder Bhatia, Ramesh Nallapati, Murali Krishna Ramanathan, Dan Roth and Bing Xiang	N/A	N/A
Better Simultaneous Translation with Monotonic Knowledge Distillation	Shushu Wang, Jing Wu, Kai Fan, Wei Luo, Jun Xiao and Zhongqiang Huang	N/A	N/A
Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs	Siyuan Wang, Zhongyu Wei, meng han, Zhihao Fan, Haijun Shan, Qi Zhang and Xuanjing Huang	N/A	N/A
CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning	Weiqi Wang, Tianqing Fang, Baixuan Xu, Chun Yi Louis Bo, Yangqiu Song and Lei Chen	N/A	N/A
Elaboration-Generating Commonsense Question Answering at Scale	Wenya Wang, Vivek Srikumar, Hannaneh Hajishirzi and Noah A. Smith	N/A	N/A
Effective Contrastive Weighting for Dense Query Expansion	Xiao Wang, Sean MacAvaney, Craig Macdonald and Iadh Ounis	N/A	N/A
Code4Struct: Code Generation for Few-Shot Event Structure Prediction	Xingyao Wang, Sha Li and Heng Ji	N/A	N/A
Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization	Xinyu Wang, Lin Gui and Yulan He	N/A	N/A
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification	Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang and YIMING YANG	N/A	N/A
Weakly-Supervised Spoken Video Grounding via Semantic Interaction Learning	Ye Wang, Wang Lin, Shengyu Zhang, Tao Jin, Linjun Li, Xize Cheng and Zhou Zhao	N/A	N/A
Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method	Yiming Wang, Zhuosheng Zhang and Rui Wang	N/A	N/A
Self-Instruct: Aligning Language Models with Self-Generated Instructions	Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A. Smith, Daniel Khashabi and Hannaneh Hajishirzi	N/A	N/A
Dynamic Heterogeneous-Graph Reasoning with Language Models and Knowledge Representation Learning for Commonsense Question Answering	Yujie Wang, Hu Zhang, Jiye Liang and Ru Li	N/A	N/A
GreenKGC: A Lightweight Knowledge Graph Completion Method	Yun Cheng Wang, Xiou Ge, Bin Wang and C.-C. Jay Kuo	N/A	N/A
VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions	Yuxuan Wang, Zilong Zheng, Xueliang Zhao, Jinpeng Li, Yueqian Wang and Dongyan Zhao	N/A	N/A
COLA: Contextualized Commonsense Causal Reasoning from the Causal Inference Perspective	Zhaowei Wang, Quyet V. Do, Hongming Zhang, Jiayao Zhang, Weiqi Wang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong and Simon See	N/A	N/A
RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks	Zhaoyang Wang, Zhiyue Liu, Xiaopeng Zheng, Qinliang Su and Jiahai Wang	N/A	N/A
Rehearsal-free Continual Language Learning via Efficient Parameter Isolation	Zhicheng Wang, Yufang Liu, Tao Ji, xiaoling Wang, Yuanbin Wu, congcong jiang, ye chao, zhencong han, ling wang, xu shao and wenqiu zeng	N/A	N/A
Faithful Low-Resource Data-to-Text Generation through Cycle Training	Zhuoer Wang, Marcus Collins, Nikhita Vedula, Simone Filice, Shervin Malmasi and Oleg Rokhlenko	N/A	N/A
On Evaluating Multilingual Compositional Generalization with Translated Datasets	Zi Wang and Daniel Hershcovich	N/A	N/A
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models	Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover and Duen Horng Chau	N/A	N/A
What social attitudes about gender does BERT encode? Leveraging insights from psycholinguistics	Julia Watson, Barend Beekhuizen and Suzanne Stevenson	N/A	N/A
Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning	Tharindu Cyril Weerasooriya, Sarah Luger, Saloni Poddar, Ashiqur KhudaBukhsh and Christopher Homan	N/A	N/A
Text Style Transfer Back-Translation	Daimeng Wei, Zhanglin Wu, Hengchao Shang, Zongyao Li, Minghan Wang, Jiaxin GUO, Xiaoyu Chen, Zhengzhe YU and Hao Yang	N/A	N/A
Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport	Kaiwen Wei, Yiran Yang, li jin, Xian Sun, Zequn Zhang, Jingyuan Zhang, Xiao yu Li, Linhao Zhang, Jintao Liu and Guo Zhi	N/A	N/A
Tackling Modality Heterogeneity with Multi-View Calibration Network for Multimodal Sentiment Detection	yiwei wei, Shaozu Yuan, Ruosong Yang, Lei Shen, zhangmeizhi li, Longbiao Wang and Meng Chen	N/A	N/A
f-Divergence Minimization for Sequence-Level Knowledge Distillation	Yuqiao Wen, Zichao Li, Wenyu Du and Lili Mou	N/A	N/A
WebIE: Faithful and Robust Information Extraction on the Web	Chenxi Whitehouse, Clara Vania, Alham Fikri Aji, Christos Christodoulopoulos and Andrea Pierleoni	N/A	N/A
Trigger Warning Assignment as a Multi-Label Document Classification Problem	Matti Wiegmann, Magdalena Wolska, Christopher Schröder, Ole Borchardt, Benno Stein and Martin Potthast	N/A	N/A
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval	John Wieting, Jonathan Clark, William Cohen, Graham Neubig and Taylor Berg-Kirkpatrick	N/A	N/A
BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking	Seungpil Won, Heeyoung Kwak, Joongbo Shin, Janghoon Han and Kyomin Jung	N/A	N/A
lilGym: Natural Language Visual Reasoning with Reinforcement Learning	Anne Wu, Kiante Brantley, Noriyuki Kojima and Yoav Artzi	N/A	N/A
Rethinking Masked Language Modeling for Chinese Spelling Correction	Hongqiu Wu, Shaohua Zhang, Yuchen Zhang and Hai Zhao	N/A	N/A
Connective Prediction for Implicit Discourse Relation Recognition via Knowledge Distillation	Hongyi Wu, Hao Zhou, Man Lan, Yuanbin Wu and Yadong Zhang	N/A	N/A
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text	Qianhui Wu, Huiqiang Jiang, Haonan Yin, Börje Karlsson and Chin-Yew Lin	N/A	N/A
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction	Qiyu Wu, Masaaki Nagata and Yoshimasa Tsuruoka	N/A	N/A
Ambiguous Learning from Retrieval: Towards Zero-shot Semantic Parsing	Shan Wu, Chunlei Xin, Hongyu Lin, Xianpei Han, Cao Liu, Jiansong Chen, Fan Yang, Guanglu Wan and Le Sun	N/A	N/A
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion	Shaoxiang Wu, Damai Dai, Ziwei Qin, Tianyu Liu, Binghuai Lin, Yunbo Cao and Zhifang Sui	N/A	N/A
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling	Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing and Tat-Seng Chua	N/A	N/A
Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment	Shengqiong Wu, Hao Fei, Wei Ji and Tat-Seng Chua	N/A	N/A
AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression	Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang and Rui Wang	N/A	N/A
SIMMC-VR: A Task-oriented Multimodal Dialog Dataset with Situated and Immersive VR Streams	Te-Lin Wu, Satwik Kottur, Andrea Madotto, Mahmoud Azab, Pedro Rodriguez, Babak Damavandi, Nanyun Peng and Seungwhan Moon	N/A	N/A
Learning Action Conditions from Instructional Manuals for Instruction Understanding	Te-Lin Wu, Caiqi ZHANG, Qingyuan Hu, Alexander Spangher and Nanyun Peng	N/A	N/A
Towards Zero-Shot Multilingual Transfer for Code-Switched Responses	Ting-Wei Wu, Changsheng Zhao, Ernie Chang, Yangyang Shi, Pierce Chuang, Vikas Chandra and Biing Juang	N/A	N/A
Do PLMs Know and Understand Ontological Knowledge?	Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie and Kewei Tu	N/A	N/A
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression	Wen Wu, Chao Zhang and Philip C. Woodland	N/A	N/A
WeCheck: Strong Factual Consistency Checker via Weakly Supervised Learning	Wenhao Wu, Wei Li, Xinyan Xiao, Jiachen Liu, Sujian Li and Yajuan Lyu	N/A	N/A
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering	Zhiyong Wu, Yaoxiang Wang, Jiacheng Ye and Lingpeng Kong	N/A	N/A
Are Experts Needed? On Human Evaluation of Counselling Reflection Generation	Zixiu Wu, Simone Balloccu, Ehud Reiter, Rim Helaoui, Diego Reforgiato Recupero and Daniele Riboni	N/A	N/A
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language	Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin and Ting Liu	N/A	N/A
Training Trajectories of Language Models Across Scales	Mengzhou Xia, Mikel Artetxe, Chunting Zhou, Xi Victoria Lin, Ramakanth Pasunuru, Danqi Chen, Luke Zettlemoyer and Veselin Stoyanov	N/A	N/A
Plug-and-Play Document Modules for Pre-trained Models	Chaojun Xiao, Zhengyan Zhang, Xu Han, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, xiangyang li, Zhonghua Li, Zhao Cao and Maosong Sun	N/A	N/A
CFSum：A Coarse-to-Fine Contribution Network for Multimodal Summarization	Min Xiao, Junnan Zhu, Haitao Lin, Yu Zhou and Chengqing Zong	N/A	N/A
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models	Zhongbin Xie and Thomas Lukasiewicz	N/A	N/A
Interpreting Positional Information in Perspective of Word Order	Zhang Xilong, Liu Ruochen, Liu Jin and Liang Xuefeng	N/A	N/A
Shrinking Embeddings for Hyper-Relational Knowledge Graphs	Bo Xiong, Mojtaba Nayyeri, Shirui Pan and Steffen Staab	N/A	N/A
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models	Albert Xu, Xiang Ren and Robin Jia	N/A	N/A
S2ynRE: Two-stage Self-training with Synthetic data for Low-resource Relation Extraction	Benfeng Xu, Quan Wang, Yajuan Lyu, Dai Dai, Yongdong Zhang and Zhendong Mao	N/A	N/A
CTC-based Non-autoregressive Speech Translation	Chen Xu, Xiaoqian Liu, Xiaowen Liu, Qingxuan Sun, Yuhao Zhang, Murun Yang, Qianqian Dong, Tom Ko, Mingxuan Wang, Tong Xiao, Anxiang Ma and Jingbo Zhu	N/A	N/A
Introducing Semantics into Speech Encoders	Derek Xu, Shuyan Dong, Changhan Wang, Suyoun Kim, Zhaojiang Lin, Bing Liu, Akshat Shrivastava, Shang-Wen Li, Liang-Hsuan Tseng, Guan-Ting Lin, Alexei Baevski, Hung-yi Lee, Yizhou Sun and Wei Wang	N/A	N/A
A Critical Evaluation of Evaluations for Long-form Question Answering	Fangyuan Xu, Yixiao Song, Mohit Iyyer and Eunsol Choi	N/A	N/A
A Universal Discriminator for Zero-Shot Generalization	Haike Xu, Zongyu Lin, Jing Zhou, Yanan Zheng and Zhilin Yang	N/A	N/A
Double-Branch Multi-Attention based Graph Neural Network for Knowledge Graph Completion	Hongcai Xu, Junpeng Bao and Wenbo Liu	N/A	N/A
Best-k Search Algorithm for Neural Text Generation	Jiacheng Xu, Caiming Xiong, silvio savarese and Yingbo Zhou	N/A	N/A
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?	Jiashu Xu, Mingyu Derek Ma and Muhao Chen	N/A	N/A
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback	Jing Xu, Megan Ung, Mojtaba Komeili, Kushal Arora, Y-Lan Boureau and Jason Weston	N/A	N/A
Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach	Liyan Xu, Chenwei Zhang, Xian Li, Jingbo Shang and Jinho D. Choi	N/A	N/A
Enhancing Language Representation with Constructional Information for Natural Language Understanding	Lvxiaowei Xu, Jianwang Wu, Jiawei Peng, Zhilin Gong, Ming Cai and Tianxiang Wang	N/A	N/A
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval	Shicheng Xu, Liang Pang, Huawei Shen and Xueqi Cheng	N/A	N/A
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks	Weiwen Xu, Xin Li, Yang Deng, Wai Lam and Lidong Bing	N/A	N/A
Counterfactual Debiasing for Fact Verification	Weizhi Xu, Qiang Liu, Shu Wu and Liang Wang	N/A	N/A
SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes	Wenda Xu, Xian Qian, Mingxuan Wang, Lei Li and William Yang Wang	N/A	N/A
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning	Xiao Xu, Bei Li, Chenfei Wu, Shao-Yen Tseng, Anahita Bhiwandiwalla, ‫Shachar Rosenman, Vasudev Lal, Wanxiang Che and Nan Duan	N/A	N/A
KILM: Knowledge Injection into Encoder-Decoder Language Models	Yan Xu, Mahdi Namazifar, Devamanyu Hazarika, Aishwarya Padmakumar, Yang Liu and Dilek Hakkani-Tur	N/A	N/A
Exploring and Verbalizing Academic Ideas by Concept Co-occurrence	Yi Xu, Shuqian Sheng, Bo Xue, Luoyi Fu, Xinbing Wang and Chenghu Zhou	N/A	N/A
Unsupervised Graph-Text Mutual Conversion with a Unified Pretrained Language Model	Yi Xu, Shuqian Sheng, Jiexing Qi, Luoyi Fu, Zhouhan Lin, Xinbing Wang and Chenghu Zhou	N/A	N/A
Hard Sample Aware Prompt-Tuning	Yuanjian Xu, Qi An, Jiahuan Zhang, Peng Li and Zaiqing Nie	N/A	N/A
MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning	Zhiyang Xu, Ying Shen and Lifu Huang	N/A	N/A
Constrained Tuple Extraction with Interaction-Aware Network	Xiaojun Xue, Chunxia Zhang, Tianxiang Xu and Zhendong Niu	N/A	N/A
Towards Identifying Fine-Grained Depression Symptoms from Memes	Shweta Yadav, Cornelia Caragea, Chenye Zhao, Naincy Kumari, Marvin Solberg and Tanmay Sharma	N/A	N/A
SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT	Aditya Yadavalli, Alekhya Yadavalli and Vera Tobin	N/A	N/A
GEC-DePenD: Non-Autoregressive Grammatical Error Correction with Decoupled Permutation and Decoding	Konstantin Yakovlev, Alexander Podolskiy, Andrey Bout, Sergey Nikolenko and Irina Piontkovskaya	N/A	N/A
Holographic CCG Parsing	Ryosuke Yamaki, Tadahiro Taniguchi and Daichi Mochihashi	N/A	N/A
Holistic Prediction on a Time-Evolving Attributed Graph	Shohei Yamasaki, Yuya Sasaki, Panagiotis Karras and Makoto Onizuka	N/A	N/A
UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction	Hang Yan, Yu Sun, Xiaonan Li, Yunhua Zhou, Xuanjing Huang and Xipeng Qiu	N/A	N/A
Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing	Hao Yan, Saurabh Srivastava, Yintao Tai, Sida I. Wang, Wen-tau Yih and Ziyu Yao	N/A	N/A
BITE: Textual Backdoor Attacks with Iterative Trigger Injection	Jun Yan, Vansh Gupta and Xiang Ren	N/A	N/A
BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training	Yiming Yan, Tao Wang, Chengqi Zhao, Shujian Huang, Jiajun CHEN and Mingxuan Wang	N/A	N/A
MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning	Bang Yang, Fenglin Liu, Xian Wu, Yaowei Wang, Xu Sun and Yuexian Zou	N/A	N/A
Efficient Shapley Values Estimation by Amortization for Text Classification	Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma and Bing Xiang	N/A	N/A
Attractive Storyteller: Stylized Visual Storytelling with Unpaired Text	Dingyi Yang and Qin Jin	N/A	N/A
Learning Better Masking for Better Language Model Pre-training	Dongjie Yang, Zhuosheng Zhang and Hai Zhao	N/A	N/A
GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator	Jian Yang, Shuming Ma, Li Dong, Shaohan Huang, Haoyang Huang, Yuwei Yin, Dongdong Zhang, Liqun Yang, Furu Wei and Zhoujun Li	N/A	N/A
ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis	Jiuding Yang, Yakun Yu, Di Niu, Weidong Guo and Yu Xu	N/A	N/A
DOC: Improving Long Story Coherence With Detailed Outline Control	Kevin Yang, Dan Klein, Nanyun Peng and Yuandong Tian	N/A	N/A
Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints	Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Xiangpeng Wei, Zhengyuan Liu and Jun Xie	N/A	N/A
Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation	Kexin Yang, Dayiheng Liu, Wenqiang Lei, Baosong Yang, Mingfeng Xue, Boxing Chen and Jun Xie	N/A	N/A
Measuring Consistency in Text-based Financial Forecasting Models	Linyi Yang, Yingpeng Ma and Yue Zhang	N/A	N/A
Local Interpretation of Transformer Based on Linear Decomposition	Sen Yang, Shujian Huang, wei zou, Jianbing Zhang, Xinyu Dai and Jiajun CHEN	N/A	N/A
A New Dataset and Empirical Study for Sentence Simplification in Chinese	Shiping Yang, Renliang Sun and Xiaojun Wan	N/A	N/A
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars	Songlin Yang, Roger Levy and Yoon Kim	N/A	N/A
Don’t Parse, Choose Spans! Continuous and Discontinuous Constituency Parsing via Autoregressive Span Selection	Songlin Yang and Kewei Tu	N/A	N/A
HistRED: A Historical Document-Level Relation Extraction Dataset	Soyoung Yang, Minseok Choi, Youngwoo Cho and Jaegul Choo	N/A	N/A
Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification	Weiyi Yang, Richong Zhang, Junfan Chen, Lihong Wang and Jaein Kim	N/A	N/A
Few-Shot Document-Level Event Argument Extraction	Xianjun Yang, Yujie Lu and Linda Petzold	N/A	N/A
Transforming Visual Scene Graphs to Image Captions	Xu Yang, Jiawei Peng, Zihua Wang, Haiyang Xu, Qinghao Ye, Chenliang Li, Songfang Huang, Fei Huang, Zhangzikang Li and Yu Zhang	N/A	N/A
An AMR-based Link Prediction Approach for Document-level Event Argument Extraction	Yuqing Yang, Qipeng Guo, Xiangkun Hu, Yue Zhang, Xipeng Qiu and Zheng Zhang	N/A	N/A
Gradient-based Intra-attention Pruning on Pre-trained Language Models	Ziqing Yang, Yiming Cui, Xin Yao and Shijin Wang	N/A	N/A
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations	Bingsheng Yao, Prithviraj Sen, Lucian Popa, James Hendler and Dakuo Wang	N/A	N/A
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process	Fanghua Ye, zhiyuan hu and Emine Yilmaz	N/A	N/A
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering	Hai Ye, Qizhe Xie and Hwee Tou Ng	N/A	N/A
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning	Qinyuan Ye, Iz Beltagy, Matthew Peters, Xiang Ren and Hannaneh Hajishirzi	N/A	N/A
CLAPSpeech: Learning Prosody from Text Context with Contrastive Language-Audio Pre-Training	Zhenhui Ye, Rongjie Huang, Yi Ren, Ziyue Jiang, Jinglin Liu, Jinzheng He, Xiang Yin and Zhou Zhao	N/A	N/A
How poor is the stimulus? Evaluating hierarchical generalization in neural networks trained on child-directed speech	Aditya Yedetore, Tal Linzen, Robert Frank and R. Thomas McCoy	N/A	N/A
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning	Fan Yin, Jesse Vig, Philippe Laban, Shafiq Joty, Caiming Xiong and Chien-Sheng Wu	N/A	N/A
Natural Language to Code Generation in Interactive Data Science Notebooks	Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Oleksandr Polozov and Charles Sutton	N/A	N/A
NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation	Shengming Yin, Chenfei Wu, Huan Yang, Jianfeng Wang, Xiaodong Wang, Minheng Ni, Zhengyuan Yang, Linjie Li, Shuguang Liu, Fan Yang, Jianlong Fu, Ming Gong, Lijuan Wang, Zicheng Liu, Houqiang Li and Nan Duan	N/A	N/A
Consistency Regularization Training for Compositional Generalization	Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou and Yue Zhang	N/A	N/A
BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting	Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, Alham Fikri Aji, David Ifeoluwa Adelani, KHALID ALMUBARAK, M Saiful Bari, Lintang Sutawika, Jungo Kasai, Ahmed Baruwa, Genta Winata, Stella Biderman, Edward Raff, Dragomir Radev and Vassilina Nikoulina	N/A	N/A
Rethinking Annotation: Can Language Learners Contribute?	Haneul Yoo, Rifki Afina Putri, Changyoon Lee, Youngin Lee, So-Yeon Ahn, Dongyeop Kang and Alice Oh	N/A	N/A
Robust Multi-bit Natural Language Watermarking through Invariant Features	KiYoon Yoo, Wonhyuk Ahn, Jiho Jang and Nojun Kwak	N/A	N/A
Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation	Soyoung Yoon, Sungjoon Park, Gyuwan Kim, Junhee Cho, Kihyo Park, Gyu Tae Kim, Minjoon Seo and Alice Oh	N/A	N/A
Grounded Multimodal Named Entity Recognition on Social Media	Jianfei Yu, Ziyan Li, Jieming Wang and Rui Xia	N/A	N/A
Cross-Domain Data Augmentation with Domain-Adaptive Language Modeling for Aspect-Based Sentiment Analysis	Jianfei Yu, Qiankun Zhao and Rui Xia	N/A	N/A
Word sense extension	Lei Yu and Yang Xu	N/A	N/A
Personality Understanding of Fictional Characters during Book Reading	Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Zhou Xiao, Fandong Meng and Jie Zhou	N/A	N/A
ALERT: Adapt Language Models to Reasoning Tasks	Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissi, Siddharth Verma, Zhijing Jin, Gargi Ghosh, Mona Diab and Asli Celikyilmaz	N/A	N/A
Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment	Tianshu Yu, haoyu gao, Ting-En Lin, Min Yang, Yuchuan Wu, Wentao Ma, chao wang, Fei Huang and Yongbin Li	N/A	N/A
Generating Hashtags for Short-form Videos with Guided Signals	Tiezheng Yu, Hanchao Yu, Davis Liang, Yuning Mao, Shaoliang Nie, Po-Yao Huang, Madian Khabsa, Pascale Fung and Yi-Chia Wang	N/A	N/A
CREPE: Open-Domain Question Answering with False Presuppositions	Xinyan Yu, Sewon Min, Luke Zettlemoyer and Hannaneh Hajishirzi	N/A	N/A
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach	Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen and Chao Zhang	N/A	N/A
Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In	Zichun Yu, Chenyan Xiong, Shi Yu and Zhiyuan Liu	N/A	N/A
Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction	Changsen Yuan, Heyan Huang, Yixin Cao and Yonggang Wen	N/A	N/A
HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation	Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang and Songfang Huang	N/A	N/A
Distilling Script Knowledge from Large Language Models for Constrained Language Planning	Siyu Yuan, Jiangjie Chen, Ziquan Fu, Xuyang Ge, Soham Shah, Charles Jankowski, Yanghua Xiao and Deqing Yang	N/A	N/A
Causality-aware Concept Extraction based on Knowledge-guided Prompting	Siyu Yuan, Deqing Yang, Jinxi Liu, Shuyu Tian, Jiaqing Liang, Yanghua Xiao and Rui Xie	N/A	N/A
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe	Xiang Yue, Huseyin Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Hoda Shajari, Huan Sun, David Levitan and Robert Sim	N/A	N/A
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta Learning	Zhenrui Yue, Huimin Zeng, Yang Zhang, Lanyu Shang and Dong Wang	N/A	N/A
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning	Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji and Dong Wang	N/A	N/A
Movie101: A New Movie Understanding Benchmark	Zihao Yue, Qi Zhang, Anwen Hu, Liang Zhang, Ziheng Wang and Qin Jin	N/A	N/A
Large Language Models Meet NL2Code: A Survey	Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Wang Yongji and Jian-Guang LOU	N/A	N/A
One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning	Guangtao Zeng, Peiyuan Zhang and Wei Lu	N/A	N/A
Synthesize, Prompt and Transfer: Zero-shot Conversational Question Generation with Pre-trained Language Model	Hongwei Zeng, Bifan Wei, Jun Liu and Weiping Fu	N/A	N/A
Soft Language Clustering for Multilingual Model Pre-training	Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao and Jie Zhou	N/A	N/A
FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue	Weihao Zeng, Keqing He, Yejie Wang, Chen Zeng, Jingang Wang, Yunsen Xian and Weiran Xu	N/A	N/A
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation	Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu and Weiran Xu	N/A	N/A
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training	Yan Zeng, Wangchunshu Zhou, Ao Luo, Ziming Cheng and Xinsong Zhang	N/A	N/A
Hints on the data for language modeling of synthetic languages with transformers	Rodolfo Zevallos and Nuria Bel	N/A	N/A
AlignScore: Evaluating Factual Consistency with A Unified Alignment Function	Yuheng Zha, Yichi Yang, Ruichen Li and Zhiting Hu	N/A	N/A
USSA: A Unified Table Filling Scheme for Structured Sentiment Analysis	Zepeng Zhai, Hao Chen, Ruifan Li and Xiaojie WANG	N/A	N/A
Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model	Pengwei Zhan, Jing Yang, Xiao Huang, Chunlei Jing, Jingying Li and Liming Wang	N/A	N/A
Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization	Runzhe Zhan, Xuebo Liu, Derek F. Wong, Cuilian Zhang, Lidia S. Chao and Min Zhang	N/A	N/A
Lifting the Curse of Capacity Gap in Distilling Language Models	Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang and Dawei Song	N/A	N/A
DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations	Duzhen Zhang, Feilong Chen and Xiuyi Chen	N/A	N/A
Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection	Feng Zhang, Wei Chen, Fei Ding and Tengjiao Wang	N/A	N/A
Understanding and Improving the Robustness of Terminology Constraints in Neural Machine Translation	Huaao Zhang, Qiang Wang, Bo Qin, Zelin Shi, haibo wang and MING CHEN	N/A	N/A
Reasoning over Hierarchical Question Decomposition Tree for Explainable Question Answering	Jiajie Zhang, Shulin Cao, Tingjian Zhang, Xin Lv, Juanzi Li, Lei Hou, Jiaxin Shi and Qi Tian	N/A	N/A
What Is Overlap Knowledge in Event Argument Extraction? APE: A Cross-datasets Transfer Learning Model for EAE	Kaihang Zhang, Kai Shuang, Xinyue Yang, Xuyang Yao and Jinyu Guo	N/A	N/A
Self-Edit: Fault-Aware Code Editor for Code Generation	Kechi Zhang, Zhuo Li, Jia Li, Ge Li and Zhi Jin	N/A	N/A
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering	Lingxi Zhang, Jing Zhang, Yanling Wang, Shulin Cao, Xinmei Huang, Cuiping Li, Hong Chen and Juanzi Li	N/A	N/A
A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization	Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Raghavi Chandu and João Sedoc	N/A	N/A
Span-level Aspect-based Sentiment Analysis via Table Filling	Mao Zhang, Yongxin Zhu, Zhen Liu, Zhimin Bao, Yunfei Wu, Xing Sun and Linli Xu	N/A	N/A
Learning Latent Relations for Temporal Knowledge Graph Reasoning	Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu and Liang Wang	N/A	N/A
Interpretable Math Word Problem Solution Generation via Step-by-step Planning	mengxue zhang, Zichao Wang, Zhichao Yang, weiqi feng and Andrew Lan	N/A	N/A
SafeConv: Explaining and Correcting Conversational Unsafe Behavior	Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi, Wenliang Chen and Dong Yu	N/A	N/A
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain	Mike Zhang, Rob van der Goot and Barbara Plank	N/A	N/A
A Survey for Efficient Open Domain Question Answering	Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn and Meng Fang	N/A	N/A
A Novel Table-to-Graph Generation Approach for Document-Level Joint Entity and Relation Extraction	Ruoyu Zhang, Yanzeng Li and Lei Zou	N/A	N/A
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies	Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze and David Rosenberg	N/A	N/A
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization	Shiyue Zhang, David Wan and Mohit Bansal	N/A	N/A
Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation	Songming Zhang, Yunlong Liang, Shuaibo Wang, Yufeng Chen, Wenjuan Han, Jian Liu and Jinan Xu	N/A	N/A
Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms	Tianshu Zhang, Changchang Liu, Wei-Han Lee, Yu Su and Huan Sun	N/A	N/A
Bridging The Gap: Entailment Fused-T5 for Open-retrieval Conversational Machine Reading Comprehension	Xiao Zhang, Heyan Huang, Zewen Chi and Xian-Ling Mao	N/A	N/A
A Cross-Modality Context Fusion and Semantic Refinement Network for Emotion Recognition in Conversation	Xiaoheng Zhang and Yang Li	N/A	N/A
MIL-Decoding: Detoxifying Language Models at Token-Level via Multiple Instance Learning	Xu Zhang and Xiaojun Wan	N/A	N/A
Continual Knowledge Distillation for Neural Machine Translation	Yuanchi Zhang, Peng Li, Maosong Sun and Yang Liu	N/A	N/A
VLN-Trans: Translator for the Vision and Language Navigation Agent	Yue Zhang and Parisa Kordjamshidi	N/A	N/A
XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations	Yusen Zhang, Jun Wang, Zhiguo Wang and Rui Zhang	N/A	N/A
Plug-and-Play Knowledge Injection for Pre-trained Language Models	Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun and Jie Zhou	N/A	N/A
Dialog-Post: Multi-Level Self-Supervised Objectives and Hierarchical Model for Dialogue Post-Training	Zhenyu Zhang, Lei Shen, Yuming Zhao, Meng Chen and Xiaodong He	N/A	N/A
ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation	Zhexin Zhang, Jiaxin Wen and Minlie Huang	N/A	N/A
Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models	Zhong Zhang, Bang Liu and Junming Shao	N/A	N/A
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP	Zhuo Zhang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Lizhen Qu and Zenglin Xu	N/A	N/A
C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection	Chenye Zhao, Yingjie Li and Cornelia Caragea	N/A	N/A
Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition	Haodong Zhao, Ruifang He, Mengnan Xiao and Jing Xu	N/A	N/A
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models	Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen and Mykola Pechenizkiy	N/A	N/A
RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction	Jun Zhao, WenYu Zhan, Xin Zhao, Qi Zhang, Tao Gui, Zhongyu Wei, Junzhe Wang, Minlong Peng and Mingming Sun	N/A	N/A
Open Set Relation Extraction via Unknown-Aware Training	Jun Zhao, Xin Zhao, WenYu Zhan, Qi Zhang, Tao Gui, Zhongyu Wei, Yun Wen Chen, Xiang Gao and Xuanjing Huang	N/A	N/A
Actively Supervised Clustering for Open Relation Extraction	Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng and Mingming Sun	N/A	N/A
Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information	Kun Zhao, Bohao Yang, Chenghua Lin, Wenge Rong, Aline Villavicencio and Xiaohui Cui	N/A	N/A
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework	Ruochen Zhao, Xingxuan Li, Shafiq Joty, Chengwei Qin and Lidong Bing	N/A	N/A
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations	Wenting Zhao, Justin Chiu, Claire Cardie and Alexander Rush	N/A	N/A
Improving Continual Relation Extraction by Distinguishing Analogous Semantics	Wenzheng Zhao, Yuanning Cui and Wei Hu	N/A	N/A
Pre-trained Language Models Can be Fully Zero-Shot Learners	Xuandong Zhao, Siqi Ouyang, Zhiguo Yu, Ming Wu and Lei Li	N/A	N/A
RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations	Yilun Zhao, Chen Zhao, Linyong Nan, Zhenting Qi, Wenlin Zhang, Xiangru Tang, Boyu Mi and Dragomir Radev	N/A	N/A
Generating Visual Spatial Description via Holistic 3D Scene Understanding	Yu Zhao, Hao Fei, Wei Ji, Jianguo Wei, Meishan Zhang, Min Zhang and Tat-Seng Chua	N/A	N/A
Incorporating Attribution Importance for Improving Faithfulness Metrics	Zhixue Zhao and Nikolaos Aletras	N/A	N/A
Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering	Ziwang Zhao, Linmei Hu, Hanyu Zhao, Yingxia Shao and Yequan Wang	N/A	N/A
An Invariant Learning Characterization of Controlled Text Generation	Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder and David Blei	N/A	N/A
Rethinking Multimodal Entity and Relation Extraction from a Translation Point of View	Changmeng Zheng, Junhao Feng, Yi Cai, Xiaoyong Wei and Qing Li	N/A	N/A
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference	Junhao Zheng, Qianli Ma, Shengjie Qiu, Yue Wu, Peitian Ma, Junlong Liu, Huawen Feng, Xichen Shang and Haibin Chen	N/A	N/A
Generating Structured Pseudo Labels for Noise-resistant Zero-shot Video Sentence Localization	Minghang Zheng, Shaogang Gong, Hailin Jin, Yuxin Peng and Yang Liu	N/A	N/A
IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures	Mingyu Zheng, Yang Hao, Wenbin Jiang, Zheng Lin, Yajuan Lyu, QiaoQiao She and Weiping Wang	N/A	N/A
Contextual Knowledge Learning for Dialogue Generation	Wen Zheng, Natasa Milic-Frayling and Ke Zhou	N/A	N/A
A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations	Wenjie Zheng, Jianfei Yu, Rui Xia and Shijin Wang	N/A	N/A
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering	Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen and Xinting Liao	N/A	N/A
Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation	yandan zheng, Anran Hao and Anh Tuan Luu	N/A	N/A
NatLogAttack: A Framework for Attacking Natural Language Inference Models with Natural Logic	Zi’ou Zheng and Xiaodan Zhu	N/A	N/A
Revisiting Token Dropping Strategy in Efficient BERT Pretraining	Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du and Dacheng Tao	N/A	N/A
Causal-Debias: Unifying Debiasing in Pretrained Language Models and Fine-tuning via Causal Invariant Learning	Fan Zhou, Yuzhou Mao, Liu Yu, Yi Yang and Ting Zhong	N/A	N/A
CLCL: Non-compositional Expression Detection with Contrastive Learning and Curriculum Learning	Jianing Zhou, Ziheng Zeng and Suma Bhat	N/A	N/A
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation	Jinfeng Zhou, Chujie Zheng, Bo Wang, Zheng Zhang and Minlie Huang	N/A	N/A
Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach	Jinfeng Zhou, Zhuang Chen, Bo Wang and Minlie Huang	N/A	N/A
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation	Junkai Zhou, Liang Pang, Huawei Shen and Xueqi Cheng	N/A	N/A
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons	Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi and Prithviraj Ammanabrolu	N/A	N/A
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models	Qinhong Zhou, Zonghan Yang, Peng Li and Yang Liu	N/A	N/A
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning	Ran Zhou, Xin Li, Lidong Bing, Erik Cambria and Chunyan Miao	N/A	N/A
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction	Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen and Hoifung Poon	N/A	N/A
CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation	Yan Zhou, Qingkai Fang and Yang Feng	N/A	N/A
FLamE: Few-shot Learning from Natural Language Explanations	Yangqiaoyu Zhou, Yiming Zhang and Chenhao Tan	N/A	N/A
Non-Sequential Graph Script Induction via Multimedia Grounding	Yu Zhou, Sha Li, Manling Li, Xudong Lin, Shih-Fu Chang, Mohit Bansal and Heng Ji	N/A	N/A
Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification	Yunhua Zhou, Jianqiang Yang, Pengyu Wang and Xipeng Qiu	N/A	N/A
A Probabilistic Framework for Discovering New Intents	Yunhua Zhou, Guofeng Quan and Xipeng Qiu	N/A	N/A
FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information	Andrew Zhu, Karmanya Aggarwal, Alexander Feng, Lara Martin and Chris Callison-Burch	N/A	N/A
Weaker Than You Think: A Critical Look at Weakly Supervised Learning	Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Stephan and Dietrich Klakow	N/A	N/A
Neural Machine Translation Methods for Translating Text to Sign Language Glosses	Dele Zhu, Vera Czehmann and Eleftherios Avramidis	N/A	N/A
HiTIN: Hierarchy-aware Tree Isomorphism Network for Hierarchical Text Classification	He Zhu, Chong Zhang, Junjie Huang, Junran Wu and Ke Xu	N/A	N/A
PAED: Zero-Shot Persona Attribute Extraction in Dialogues	Luyao Zhu, Wei Li, Rui Mao, Vlad Pandelea and Erik Cambria	N/A	N/A
Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization	Rongxin Zhu, Jianzhong Qi and Jey Han Lau	N/A	N/A
PEIT: Bridging the Modality Gap with Pre-trained Models for End-to-End Image Translation	Shaolin Zhu, Shangjie Li, Yikun Lei and Deyi Xiong	N/A	N/A
INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation	Wenhao Zhu, Jingjing Xu, Shujian Huang, Lingpeng Kong and Jiajun CHEN	N/A	N/A
Solving Math Word Problems via Cooperative Reasoning induced Language Models	Xinyu Zhu, Junjie Wang, Lin Zhang, Yuxiang Zhang, Yongfeng Huang, ruyi gan, Jiaxing Zhang and Yujiu Yang	N/A	N/A
StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing	Xuekai Zhu, Jian Guan, Minlie Huang and Juan Liu	N/A	N/A
Pretrained Bidirectional Distillation for Machine Translation	Yimeng Zhuang and Mei Tu	N/A	N/A
WhitenedCSE: Whitening-based Contrastive Learning of Sentence Embeddings	Wenjie Zhuo, Yifan Sun, Xiaohan Wang, Linchao Zhu and Yi Yang	N/A	N/A
Modeling Appropriate Language in Argumentation	Timon Ziegenbein, Shahbaz Syed, Felix Lange, Martin Potthast and Henning Wachsmuth	N/A	N/A
NormBank: A Knowledge Bank of Situational Social Norms	Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang, Alon Halevy and Diyi Yang	N/A	N/A
Multi-VALUE: A Framework for Cross-Dialectal English NLP	Caleb Ziems, William Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta and Diyi Yang	N/A	N/A
Towards Understanding Omission in Dialogue Summarization	Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li and Tao Gui	N/A	N/A
Tokenization and the Noiseless Channel	Vilém Zouhar, Clara Meister, Juan Gastaldi, Li Du, Mrinmaya Sachan and Ryan Cotterell	N/A	N/A
Soft Alignment Objectives for Robust Adaptation of Language Generation	Michal Štefánik, Marek Kadlcik and Petr Sojka	N/A	N/A
LM-CPPF: Paraphrasing-Guided Data Augmentation for Contrastive Prompt-Based Few-Shot Fine-Tuning	Amirhossein Abaskohi, Sascha Rothe and Yadollah Yaghoobzadeh	N/A	N/A
The Mechanical Bard: An Interpretable Machine Learning Approach to Shakespearean Sonnet Generation	Edwin Agnew, Michelle Qiu, Lily Zhu, Sam Wiseman and Cynthia Rudin	N/A	N/A
Learning Neuro-Symbolic World Models with Conversational Proprioception	Don Joven Agravante, Daiki Kimura, Michiaki Tatsubori, Asim Munawar and Alexander Gray	N/A	N/A
TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation	Yiming Ai, Zhiwei He, Kai Yu and Rui Wang	N/A	N/A
Is Anisotropy Truly Harmful? A Case Study on Text Clustering	Mira Ait-Saada and Mohamed Nadif	N/A	N/A
The Role of Global and Local Context in Named Entity Recognition	Arthur Amalvy, Vincent Labatut and Richard Dufour	N/A	N/A
Hexatagging: Projective Dependency Parsing as Tagging	Afra Amini, Tianyu Liu and Ryan Cotterell	N/A	N/A
Nichelle and Nancy: The Influence of Demographic Attributes and Tokenization Length on First Name Biases	Haozhe An and Rachel Rudinger	N/A	N/A
Split-NER: Named Entity Recognition via Two Question-Answering-based Classifications	Jatin Arora and Youngja Park	N/A	N/A
Faithfulness Tests for Natural Language Explanations	Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen and Isabelle Augenstein	N/A	N/A
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification	Rohan Bhambhoria, Lei Chen and Xiaodan Zhu	N/A	N/A
Decomposed scoring of CCG dependencies	Aditya Bhargava and Gerald Penn	N/A	N/A
Efficient Diagnosis Assignment Using Unstructured Clinical Notes	Louis Blankemeier, Jason Fries, Robert Tinn, Joseph Preston, Nigam Shah and Akshay Chaudhari	N/A	N/A
An Open Dataset and Model for Language Identification	Laurie Burchell, Alexandra Birch, Nikolay Bogoychev and Kenneth Heafield	N/A	N/A
Evaluating Zero-Shot Event Structures: Recommendations for Automatic Content Extraction (ACE) Annotations	Erica Cai and Brendan O’Connor	N/A	N/A
Graph Propagation based Data Augmentation for Named Entity Recognition	Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie and Kewei Tu	N/A	N/A
Substitution-based Semantic Change Detection using Contextual Embeddings	Dallas Card	N/A	N/A
XL-LEXEME: WiC Pretrained Model for Cross-Lingual LEXical sEMantic changE	Pierluigi Cassotti, Lucia Siciliani, Marco DeGemmis, Giovanni Semeraro and Pierpaolo Basile	N/A	N/A
Controllable Mixed-Initiative Dialogue Generation through Prompting	Maximillian Chen, Xiao Yu, Weiyan Shi, Urvi Awasthi and Zhou Yu	N/A	N/A
xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource Languages	Mingda Chen, Kevin Heffernan, Onur Çelebi, Alexandre Mourachko and Holger Schwenk	N/A	N/A
Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities	Zhihong Chen, Maya Varma, Xiang Wan, Curtis Langlotz and Jean-Benoit Delbrouck	N/A	N/A
Text-to-SQL Error Correction with Language Models of Code	Ziru Chen, Shijie Chen, Michael White, Raymond Mooney, Ali Payani, Jayanth Srinivasa, Yu Su and Huan Sun	N/A	N/A
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering	Hao Cheng, Hao Fang, Xiaodong Liu and Jianfeng Gao	N/A	N/A
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English	Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian and Kai-Wei Chang	N/A	N/A
Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings	Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, alexander rudnicky and Peter Ramadge	N/A	N/A
Should you marginalize over possible tokenizations?	Nadezhda Chirkova, Germán Kruszewski, Jos Rozen and Marc Dymetman	N/A	N/A
Leveraging Prefix Transfer for Multi-Intent Text Revision	Ruining Chong, Cunliang Kong, Liu Wu, Zhenghao Liu, Ziye Jin, Liner Yang, Yange Fan, Hanghang Fan and Erhong Yang	N/A	N/A
Black-box language model explanation by context length probing	Ondřej Cífka and Antoine Liutkus	N/A	N/A
Scaling in Cognitive Modelling: a Multilingual Approach to Human Reading Times	Andrea Gregor de Varda and Marco Marelli	N/A	N/A
Zero-shot Cross-lingual Transfer With Learned Projections Using Unlabeled Target-Language Data	Ujan Deb, Ridayesh Parab and Preethi Jyothi	N/A	N/A
Context-Aware Transformer Pre-Training for Answer Sentence Selection	Luca Di Liello, Siddhant Garg and Alessandro Moschitti	N/A	N/A
When to Use Efficient Self Attention? Profiling Text, Speech and Image Transformer Variants	Anuj Diwan, Eunsol Choi and David Harwath	N/A	N/A
Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality	Tanay Dixit, Fei Wang and Muhao Chen	N/A	N/A
Surface-Based Retrieval Reduces Perplexity of Retrieval-Augmented Language Models	Ehsan Doostmohammadi, Tobias Norlund, Marco Kuhlmann and Richard Johansson	N/A	N/A
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting	Zahra Fatemi, Chen Xing, Wenhao Liu, Caimming Xiong and Zahra Fatemi	N/A	N/A
Reasoning Implicit Sentiment with Chain-of-Thought Prompting	Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li and Tat-Seng Chua	N/A	N/A
Using contradictions improves question answering systems	Etienne Fortier-Dubois and Domenic Rosati	N/A	N/A
Mind the Gap between the Application Track and the Real World	Ananya Ganesh, Jie Cao, E. Margaret Perkoff, Rosy Southwell, Martha Palmer and Katharina Kann	N/A	N/A
Analyzing Text Representations by Measuring Task Alignment	Cesar Gonzalez-Gutierrez, Audi Primadhanty, Francesco Cazzaro and Ariadna Quattoni	N/A	N/A
Morphological Inflection with Phonological Features	David Guriel, Omer Goldman and Reut Tsarfaty	N/A	N/A
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts	Skyler Hallinan, Alisa Liu, Yejin Choi and Maarten Sap	N/A	N/A
Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation	Yuchen Han, Chen Xu, Tong Xiao and Jingbo Zhu	N/A	N/A
Ellipsis-Dependent Reasoning: a New Challenge for Large Language Models	Daniel Hardt	N/A	N/A
Characterization of Stigmatizing Language in Medical Records	Keith Harrigian, Ayah Zirikly, Brant Chee, Alya Ahmad, Anne R. Links, Somnath Saha, Mary Catherine Beach and Mark Dredze	N/A	N/A
BUCA: A Binary Classification Approach to Unsupervised Commonsense Question Answering	Jie He, Simon U, Victor Gutierrez-Basulto and Jeff Pan	N/A	N/A
ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?	Michael Heck, Nurul Lubis, Benjamin Ruppik, Renato Vukovic, Shutong Feng, Christian Geishauser, Hsien-chin Lin, Carel van Niekerk and Milica Gasic	N/A	N/A
Contrastive Bootstrapping for Label Refinement	Shudi Hou, Yu Xia, Muhao Chen and Sujian Li	N/A	N/A
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis	Xuming Hu, Zhijiang Guo, ZHIYANG TENG, Irwin King and Philip S. Yu	N/A	N/A
MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting	Tatsuro Inaba, Hirokazu Kiyomaru, Fei Cheng and Sadao Kurohashi	N/A	N/A
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations	Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian McAuley, Thomas Lukasiewicz and Oana-Maria Camburu	N/A	N/A
An (unhelpful) guide to selecting the best ASR architecture for your under-resourced language	Robert Jimerson, Zoey Liu and Emily Prud’hommeaux	N/A	N/A
Discourse-Level Representations can Improve Prediction of Degree of Anxiety	Swanie Juhng, Matthew Matero, Vasudha Varadarajan, Johannes C. Eichstaedt, Adithya V Ganesan and H. Andrew Schwartz	N/A	N/A
Bring More Attention to Syntactic Symmetry for Automatic Postediting of High-Quality Machine Translations	Baikjin Jung, Myungji Lee, Jong-Hyeok Lee and Yunsu Kim	N/A	N/A
Table and Image Generation for Investigating Knowledge of Entities in Pre-trained Vision and Language Models	Hidetaka Kamigaito, Katsuhiko Hayashi and Taro Watanabe	N/A	N/A
Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages	Yasmine Karoui, Rémi Lebret, Negar Foroutan Eghlidi and Karl Aberer	N/A	N/A
A Better Way to Do Masked Language Model Scoring	Carina Kauf and Anna Ivanova	N/A	N/A
Tracing Linguistic Markers of Influence in a Large Online Organisation	Prashant Khare, Ravi Shekhar, Mladen Karan, Stephen McQuistin, Colin Perkins, Ignacio Castro, Gareth Tyson, Patrick Healey and Matthew Purver	N/A	N/A
Transformed Protoform Reconstruction	Young Min Kim, Kalvin Chang, Chenxuan Cui and David R. Mortensen	N/A	N/A
Probing Physical Reasoning with Counter-Commonsense Context	Kazushi Kondo, Saku Sugawara and Akiko Aizawa	N/A	N/A
Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning	Po-Nien Kung and Nanyun Peng	N/A	N/A
S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering	Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao and Kang Liu	N/A	N/A
NarrowBERT: Accelerating Masked Language Model Pretraining and Inference	Haoxin Li, Phillip Keung, Daniel Cheng, Jungo Kasai and Noah A. Smith	N/A	N/A
HiPool: Modeling Long Documents Using Graph Neural Networks	Irene Li, Aosong Feng, Dragomir Radev and Rex Ying	N/A	N/A
How Well Apply Simple MLP to Incomplete Utterance Rewriting?	Jiang Li, Xiangdong Su, Xinlan Ma and Guanglai Gao	N/A	N/A
Counterfactual reasoning: Testing language models’ understanding of hypothetical scenarios	Jiaxuan Li, Lang Yu and Allyson Ettinger	N/A	N/A
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences	Jonathan Li, Will Aitken, Rohan Bhambhoria and Xiaodan Zhu	N/A	N/A
Diversity-Aware Coherence Loss for Improving Neural Topic Models	Raymond Li, Felipe Gonzalez-Pizarro, Linzi Xing, Gabriel Murray and Giuseppe Carenini	N/A	N/A
AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models	Siheng Li, Cheng Yang, Yichun Yin, Xinyu Zhu, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu and Yujiu Yang	N/A	N/A
Metaphor Detection via Explicit Basic Meanings Modelling	Yucheng Li, Shun Wang, Chenghua Lin and Frank Guerin	N/A	N/A
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data	Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen and Cong Liu	N/A	N/A
LI-RAGE: Late Interaction Retrieval Augmented Generation with Explicit Signals for Open-Domain Table Question Answering	Weizhe Lin, Rexhina Blloshmi, Bill Byrne, Adria de Gispert and Gonzalo Iglesias	N/A	N/A
Linear Classifier: An Often-Forgotten Baseline for Text Classification	Yu-Chen Lin, Si-An Chen, Jie-Jyun Liu and Chih-Jen Lin	N/A	N/A
Are Sample-Efficient NLP Models More Robust?	Nelson F. Liu, Ananya Kumar, Percy Liang and Robin Jia	N/A	N/A
BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases	Xin Liu, Muhammad Khalifa and Lu Wang	N/A	N/A
MolXPT: Wrapping Molecules with Text for Generative Pre-training	Zequn Liu, Wei Zhang, Yingce Xia, Lijun Wu, Shufang Xie, Tao Qin, Ming Zhang and Tie-Yan Liu	N/A	N/A
TwistList: Resources and Baselines for Tongue Twister Generation	Tyler Loakman, Chen Tang and Chenghua Lin	N/A	N/A
Improving Grammar-based Sequence-to-Sequence Modeling with Decomposition and Constraints	Chao Lou and Kewei Tu	N/A	N/A
Event Extraction as Question Generation and Answering	Di Lu, Shihao Ran, Joel Tetreault and Alejandro Jaimes	N/A	N/A
A Study on the Efficiency and Generalization of Light Hybrid Retrievers	Man Luo, Shashank Jain, Anchit Gupta, Arash Einolghozati, Barlas Oguz, Debojeet Chatterjee, Xilun Chen, Chitta Baral and Peyman Heidari	N/A	N/A
Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer	Xingtai Lv, Ning Ding, Yujia Qin, Zhiyuan Liu and Maosong Sun	N/A	N/A
Focused Prefix Tuning for Controllable Text Generation	Congda Ma, Tianyu Zhao, Makoto Shing, Kei Sawada and Manabu Okumura	N/A	N/A
Improving Syntactic Probing Correctness and Robustness with Control Tasks	Weicheng Ma, Brian Wang, Hefan Zhang, Lili Wang, Rolando Coto-Solano, Saeed Hassanpour and Soroush Vosoughi	N/A	N/A
Bhasa-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages	Yash Madhani, Mitesh M. Khapra and Anoop Kunchukuttan	N/A	N/A
Dataset Distillation with Attention Labels for Fine-tuning BERT	Aru Maekawa, Naoki Kobayashi, Kotaro Funakoshi and Manabu Okumura	N/A	N/A
Teaching Small Language Models to Reason	Lucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, Eric Malmi and Aliaksei Severyn	N/A	N/A
UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation	Zhiming Mao, Huimin Wang, Yiming Du and Kam-Fai Wong	N/A	N/A
Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation	Zhuoyuan Mao, Raj Dabre, Qianying Liu, Haiyue Song, Chenhui Chu and Sadao Kurohashi	N/A	N/A
AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing	Abelardo Carlos Martínez Lorenzo, ‪Pere-Lluís Huguet Cabot and Roberto Navigli	N/A	N/A
Theory-Grounded Computational Text Analysis	Arya D. McCarthy and Giovanna Maria Dora Dore	N/A	N/A
A Natural Bias for Language Generation Models	Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell and Adhiguna Kuncoro	N/A	N/A
Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement	Samuel Mensah, Kai Sun and Nikolaos Aletras	N/A	N/A
Deep Active Learning for Morphophonological Processing	Seyed Morteza Mirbostani, Yasaman Boreshban, Salam Khalifa, SeyedAbolghasem Mirroshandel and Owen Rambow	N/A	N/A
mOKB6: A Multilingual Open Knowledge Base Completion Benchmark	Shubham Mittal, Keshav Kolluru, Soumen Chakrabarti and Mausam	N/A	N/A
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models	Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat, Lin Yang and Kai-Wei Chang	N/A	N/A
Enhancing Event Causality Identification with Counterfactual Reasoning	Feiteng Mu and Wenjie Li	N/A	N/A
Grokking of Hierarchical Structure in Vanilla Transformers	Shikhar Murty, Pratyusha Sharma, Jacob Andreas and Christopher Manning	N/A	N/A
Considerations for meaningful sign language machine translation based on glosses	Mathias Müller, Zifan Jiang, Amit Moryossef, Annette Rios and Sarah Ebling	N/A	N/A
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion	Ananjan Nandi, Navdeep Kaur, Parag Singla and Mausam	N/A	N/A
Class based Influence Functions for Error Detection	Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Dang Huu-Tien, Hieu Nguyen, Anh T. V. Dau and Nghi Bui	N/A	N/A
A Fast Algorithm for Computing Prefix Probabilities	Franz Nowak and Ryan Cotterell	N/A	N/A
Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models	James O’Neill and Sourav Dutta	N/A	N/A
The Ecological Fallacy in Annotation: Modeling Human Label Variation goes beyond Sociodemographics	Matthias Orlikowski, Paul Röttger, Philipp Cimiano and Dirk Hovy	N/A	N/A
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning	Mustafa Ozdayi, Charith Peris, Jack FitzGerald, Christophe Dupuy, Jimit Majmudar, Haidar Khan, Rahil Parikh and Rahul Gupta	N/A	N/A
Token-Level Self-Evolution Training for Sequence-to-Sequence Learning	Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong and Dacheng Tao	N/A	N/A
Credible without Credit: Domain Experts Assess Generative Language Models	Denis Peskoff and Brandon Stewart	N/A	N/A
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions	Michel Plüss, Jan Deriu, Yanick Schraner, Claudio Paonessa, Julia Hartmann, Larissa Schmidt, Christian Scheller, Manuela Hürlimann, Tanja Samardžić, Manfred Vogel and Mark Cieliebak	N/A	N/A
Unsupervised Subtitle Segmentation with Masked Language Models	David Ponce, Thierry Etchegoyhen and Victor Ruiz	N/A	N/A
Multi-Document Summarization with Centroid-Based Pretraining	Ratish Surendran Puduppully, Parag Jain, Nancy Chen and Mark Steedman	N/A	N/A
Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment	Roni Rabin, Alexandre Djerbetian, Roee Engelberg, Lidan Hackmon, Gal Elidan, Reut Tsarfaty and Amir Globerson	N/A	N/A
Improving Generalization in Language Model-based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-based Techniques	Daking Rai, Bailin Wang, Yilun Zhou and Ziyu Yao	N/A	N/A
Do GPTs Produce Less Literal Translations?	Vikas Raunak, Arul Menezes, Matt Post and Hany Hassan	N/A	N/A
MIReAD: Simple Method for Learning High-quality Representations from Scientific Documents	Anastasiia Razdaibiedina and Aleksandr Brechalov	N/A	N/A
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics	Ricardo Rei, Nuno M. Guerreiro, Marcos Treviso, Luisa Coheur, Alon Lavie and André Martins	N/A	N/A
Randomized Positional Encodings Boost Length Generalization of Transformers	Anian Ruoss, Grégoire Delétang, Tim Genewein, Jordi Grau-Moya, Róbert Csordás, Mehdi Bennani, Shane Legg and Joel Veness	N/A	N/A
RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation	Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu and Maria Nadejde	N/A	N/A
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion	Anastasiia Sedova and Benjamin Roth	N/A	N/A
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks	Nikil Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot and Kai-Wei Chang	N/A	N/A
Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success)	Chantal Shaib, Millicent Li, Sebastian Joseph, Iain Marshall, Junyi Jessy Li and Byron Wallace	N/A	N/A
Class-Incremental Learning based on Label Generation	Yijia Shao, Yiduo Guo, Dongyan Zhao and Bing Liu	N/A	N/A
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning	Jingyuan S. She, Christopher Potts, Samuel R. Bowman and Atticus Geiger	N/A	N/A
NollySenti: Leveraging Transfer Learning and Machine Translation for Nigerian Movie Sentiment Classification	Iyanuoluwa Shode, David Ifeoluwa Adelani, JIng Peng and Anna Feldman	N/A	N/A
Detecting Contradictory COVID-19 Drug Efficacy Claims from Biomedical Literature	Daniel Sosa, Malavika Suresh, Christopher Potts and Russ Altman	N/A	N/A
Joint End-to-end Semantic Proto-role Labeling	Elizabeth Spaulding, Gary Kazantsev and Mark Dredze	N/A	N/A
Environmental Claim Detection	Dominik Stammbach, Nicolas Webersinke, Julia Bingler, Mathias Kraus and Markus Leippold	N/A	N/A
With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness	Julius Steen, Juri Opitz, Anette Frank and Katja Markert	N/A	N/A
Modular Visual Question Answering via Code Generation	Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell and Dan Klein	N/A	N/A
Balancing Lexical and Semantic Quality in Abstractive Summarization	Jeewoo Sul and Yong Suk Choi	N/A	N/A
Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue	Bin Sun, Yitong Li, Fei Mi, fanhu bie, Yiwei Li and Kan Li	N/A	N/A
Measuring the Effect of Influential Messages on Varying Personas	Chenkai Sun, Jinning Li, Hou Pong Chan, ChengXiang Zhai and Heng Ji	N/A	N/A
Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?	Chenming Tang, Xiuyu Wu and Yunfang Wu	N/A	N/A
Bootstrapping Neural Relation and Explanation Classifiers	Zheng Tang and Mihai Surdeanu	N/A	N/A
Typo-Robust Representation Learning for Dense Retrieval	Panuthep Tasawong, Wuttikorn Ponwitayarat, Peerat Limkonchotiwat, Can Udomcharoenchaikit, Ekapol Chuangsuwanich and Sarana Nutanong	N/A	N/A
Language Models Get a Gender Makeover: Mitigating Gender Bias with Few-Shot Data Interventions	Himanshu Thakur, Atishay Jain, Praneetha Vaddamanu, Paul Pu Liang and Louis-Philippe Morency	N/A	N/A
Deriving Language Models from Masked Language Models	Lucas Torroba Hennigen and Yoon Kim	N/A	N/A
Evaluating pragmatic abilities of image captioners on A3DS	Polina Tsvilodub and Michael Franke	N/A	N/A
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach	Francisco Valentini, Germán Rosati, Damián Blasi, Diego Fernandez Slezak and Edgar Altszyler	N/A	N/A
Abstractive Summarizers are Excellent Extractive Summarizers	Daniel Varab and Yumo Xu	N/A	N/A
Evaluating Paraphrastic Robustness in Textual Entailment Models	Dhruv Verma, Yash Kumar Lal, Shreyashee Sinha, Benjamin Van Durme and Adam Poliak	N/A	N/A
Improving Automatic Quotation Attribution in Literary Novels	Krishnapriya Vishnubhotla, Frank Rudzicz, Graeme Hirst and Adam Hammond	N/A	N/A
Going Beyond Sentence Embeddings: A Token-Level Matching Algorithm for Calculating Semantic Textual Similarity	Hongwei Wang and Dong Yu	N/A	N/A
MOSPC: MOS Prediction Based on Pairwise Comparison	Kexin Wang, Yunlong Zhao, Qianqian Dong, Tom Ko and Mingxuan Wang	N/A	N/A
The Art of Prompting: Event Detection based on Type Specific Prompts	Sijia Wang, Mo Yu and Lifu Huang	N/A	N/A
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation	Sirui Wang, Kaiwen Wei, Hongzhi Zhang, Yuntao Li and Wei Wu	N/A	N/A
Learning Multi-Step Reasoning by Solving Arithmetic Tasks	Tianduo Wang and Wei Lu	N/A	N/A
How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives	Xinpeng Wang, Leonie Weissweiler, Hinrich Schütze and Barbara Plank	N/A	N/A
Zero-Shot and Few-Shot Stance Detection on Varied Topics via Conditional Generation	Haoyang Wen and Alexander Hauptmann	N/A	N/A
A Holistic Approach to Reference-Free Evaluation of Machine Translation	Hanming Wu, Wenjuan Han, Hui Di, Yufeng Chen and Jinan Xu	N/A	N/A
Listener Model for the PhotoBook Referential Game with CLIPScores as Implicit Reference Chain	Shih-Lun Wu, Yi-Hui Chou and Liangze Li	N/A	N/A
Debiasing Generative Named Entity Recognition by Calibrating Sequence Likelihood	Yu Xia, Yongwei Zhao, Wenhao Wu and Sujian Li	N/A	N/A
mPMR: A Multilingual Pre-trained Machine Reader at Scale	Weiwen Xu, Xin Li, Wai Lam and Lidong Bing	N/A	N/A
Exploring Continual Learning for Code Generation Models	Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal and Bing Xiang	N/A	N/A
An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition	Hang Yan, Yu Sun, Xiaonan Li and Xipeng Qiu	N/A	N/A
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing	Yahan Yang, Soham Dan, Dan Roth and Insup Lee	N/A	N/A
A Weakly Supervised Classifier and Dataset of White Supremacist Language	Michael Yoder, Ahmad Diab, David Brown and Kathleen Carley	N/A	N/A
Gradient Ascent Post-training Enhances Language Model Generalization	Dongkeun Yoon, Joel Jang, Sungdong Kim and Minjoon Seo	N/A	N/A
Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie	Naoki Yoshinaga	N/A	N/A
Target-Based Offensive Language Identification	Marcos Zampieri, Skye Morgan, Kai North, Tharindu Ranasinghe, Austin Simmmons, Paridhi Khandelwal, Sara Rosenthal and Preslav Nakov	N/A	N/A
COGEN: Abductive Commonsense Language Generation	rohola zandie, Diwanshu Shekhar and Mohammad Mahoor	N/A	N/A
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models	Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi and Yiran Chen	N/A	N/A
A Simple Concatenation can Effectively Improve Speech Translation	Linlin Zhang, Kai Fan, Boxing Chen and Luo Si	N/A	N/A
Understanding Demonstration-based Learning from a Causal Perspective	Ruiyi Zhang and Tong Yu	N/A	N/A
Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning	Zhen-Ru Zhang, Chuanqi Tan, Haiyang Xu, Chengyu Wang, jun huang and Songfang Huang	N/A	N/A
Revisiting Automated Prompting: Are We Actually Doing Better?	Yulin Zhou, Yiren Zhao, Ilia Shumailov, Robert Mullins and Yarin Gal	N/A	N/A
Robust Learning for Multi-party Addressee Recognition with Discrete Addressee Codebook	Pengcheng Zhu, Wei Zhou, Kuncai Zhang, Yuankai Ma and Haiqing Chen	N/A	N/A

ACL 2024

Title	Author	PDF_Link	Code_URL
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models	Zhengxin Zhang, Dan Zhao, Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Qing Li, Yong Jiang, Zhihao Jia	N/A	N/A
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances	Hanlei Zhang, Hua Xu, Fei Long, Xin Wang, Kai Gao	N/A	N/A
MAGE: Machine-generated Text Detection in the Wild	Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang	N/A	N/A
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models	Haoran Li, Dadi Guo, Donghao Li, Wei Fan, Qi Hu, Xin Liu, Chunkit Chan, Duanyi YAO, Yuan Yao, Yangqiu Song	N/A	N/A
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators	Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Dong Zhang, Zhehuai Chen, EngSiong Chng	N/A	N/A
Exploring Chain-of-Thought for Multi-modal Metaphor Detection	Yanzhi Xu, Yueying Hua, Shichen Li, Zhongqing Wang	N/A	N/A
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation	DaYou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu	N/A	N/A
A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation	Kai Chen, Ye Wang, Yitong Li, Aiping Li, Han Yu, Xin Song	N/A	N/A
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation	Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou	N/A	N/A
CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers	Yong Hu, Fandong Meng, Jie Zhou	N/A	N/A
Evaluating Dynamic Topic Models	Charu Karakkaparambil James, Mayank Nagda, Nooshin Haji Ghassemi, Marius Kloft, Sophie Fellenz	N/A	N/A
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition	Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou	N/A	N/A
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification	Shanshan Xu, Santosh T.Y.S.S, Oana Ichim, Barbara Plank, Matthias Grabmair	N/A	N/A
Inference to the Best Explanation in Large Language Models	Dhairya Dalal, Marco Valentino, Andre Freitas, Paul Buitelaar	N/A	N/A
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus	Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu	N/A	N/A
DeVAn: Dense Video Annotation for Video-Language Models	Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fang, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang	N/A	N/A
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering	Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang	N/A	N/A
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs	Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu	N/A	N/A
SciMON: Scientific Inspiration Machines Optimized for Novelty	Qingyun Wang, Doug Downey, Heng Ji, Tom Hope	N/A	N/A
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction	Yiren Jian, Tingkai Liu, Yunzhe Tao, Chunhui Zhang, Soroush Vosoughi, Hongxia Yang	N/A	N/A
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models	Abhishek Kumar, Robert Morabito, Sanzhar Umbet, Jad Kabbara, Ali Emami	N/A	N/A
Retrieval-Augmented Multilingual Knowledge Editing	Weixuan Wang, Barry Haddow, Alexandra Birch	N/A	N/A
Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge	Brendan Park, Madeline Janecek, Naser Ezzati-Jivan, Yifeng Li, Ali Emami	N/A	N/A
Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models	Abhishek Kumar, Sarfaroz Yunusov, Ali Emami	N/A	N/A
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News	Alexandria Leto, Elliot E. Pickens, Coen D. Needell, David Rothschild, Maria Leonor Pacheco	N/A	N/A
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences	Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang	N/A	N/A
TTM-RE: Memory-Augmented Document-Level Relation Extraction	Chufan Gao, Xuan Wang, Jimeng Sun	N/A	N/A
Answer is All You Need: Instruction-following Text Embedding via Answering the Question	Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang	N/A	N/A
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification	Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang	N/A	N/A
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures	Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O’Gorman, Nalini Singh, Andrew McCallum, Xiang Lorraine Li	N/A	N/A
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis	Yueqi XIE, Minghong Fang, Renjie Pi, Neil Zhenqiang Gong	N/A	N/A
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs	Yi Zeng, Hongpeng Lin, Jingwen Zhang, Diyi Yang, Ruoxi Jia, Weiyan Shi	N/A	N/A
Pouring Your Heart Out: Investigating the Role of Figurative Language in Online Expressions of Empathy	Gyeongeun Lee, Christina Wong, Meghan Guo, Natalie Parde	N/A	N/A
An Information-Theoretic Approach to Analyze NLP Classification Tasks	Luran Wang, Mark Gales, Vatsal Raina	N/A	N/A
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders	Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour	N/A	N/A
Wav2Gloss: Generating Interlinear Glossed Text from Speech	Taiqi He, Kwanghee Choi, Lindia Tjuatja, Nathaniel Romney Robinson, Jiatong Shi, Shinji Watanabe, Graham Neubig, David R Mortensen, Lori Levin	N/A	N/A
Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification	Yibo Hu, Erick Skorupa Parolin, Latifur Khan, Patrick Brandt, Javier Osorio, Vito D’Orazio	N/A	N/A
SPOR: A Comprehensive and Practical Evaluation Method for Compositional Generalization in Data-to-Text Generation	Ziyao Xu, Houfeng Wang	N/A	N/A
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following	Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu	N/A	N/A
Multimodal Instruction Tuning with Conditional Mixture of LoRA	Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang	N/A	N/A
DocLens: Multi-aspect Fine-grained Medical Text Evaluation	Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn Rose	N/A	N/A
FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability	Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong	N/A	N/A
Hyper-CL: Conditioning Sentence Representations with Hypernetworks	Young Hyun Yoo, Jii Cha, Changhyeon Kim, Taeuk Kim	N/A	N/A
Analysis of Multi-Source Language Training in Cross-Lingual Transfer	Seonghoon Lim, Taejun Yun, Jinhyeon Kim, Jihun Choi, Taeuk Kim	N/A	N/A
ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions	Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Chandra Kiran Reddy Evuru, Ramaneswaran S, S Sakshi, Dinesh Manocha	N/A	N/A
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants	Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa	N/A	N/A
Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving	Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang	N/A	N/A
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach	Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon	N/A	N/A
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction	Inna Wanyin Lin, Ashish Sharma, Christopher Michael Rytting, Adam S Miner, Jina Suh, Tim Althoff	N/A	N/A
Token-wise Influential Training Data Retrieval for Large Language Models	Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao	N/A	N/A
Tree-of-Counterfactual Prompting for Zero-Shot Stance Detection	Maxwell Weinzierl, Sanda Harabagiu	N/A	N/A
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks	Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Ruslan Salakhutdinov, Daniel Fried	N/A	N/A
FineSurE: Fine-grained Summarization Evaluation using LLMs	Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour	N/A	N/A
Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback	Daechul Ahn, Yura Choi, Youngjae Yu, Dongyeop Kang, Jonghyun Choi	N/A	N/A
Prompt Refinement with Image Pivot for Text-to-Image Generation	Jingtao Zhan, Qingyao Ai, Yiqun LIU, Yingwei Pan, Ting Yao, Jiaxin Mao, Shaoping Ma, Tao Mei	N/A	N/A
The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models	Adithya Bhaskar, Dan Friedman, Danqi Chen	N/A	N/A
Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation	Masato Mita, Soichiro Murakami, Akihiko Kato, Peinan Zhang	N/A	N/A
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation	Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Wong, Simon See	N/A	N/A
Reflect-RL: Two-Player Online RL Fine-Tuning for LMs	Runlong Zhou, Simon Shaolei Du, Beibin Li	N/A	N/A
Can ChatGPT’s Performance be Improved on Verb Metaphor Detection Tasks? Bootstrapping and Combining Tacit Knowledge	Cheng Yang, Puli Chen, Qingbao Huang	N/A	N/A
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning	Zhaorui Yang, Tianyu Pang, Haozhe Feng, Han Wang, Wei Chen, Minfeng Zhu, Qian Liu	N/A	N/A
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation	kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin	N/A	N/A
RORA: Robust Free-Text Rationale Evaluation	Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu	N/A	N/A
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents	Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun	N/A	N/A
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models	Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu	N/A	N/A
L-Eval: Instituting Standardized Evaluation for Long Context Language Models	Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu	N/A	N/A
DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages	Fahim Faisal, Orevaoghene Ahia, Aarohi Srivastava, Kabir Ahuja, David Chiang, Yulia Tsvetkov, Antonios Anastasopoulos	N/A	N/A
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction	Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen	N/A	N/A
Causal-Guided Active Learning for Debiasing Large Language Models	Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin	N/A	N/A
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models	Aparna Elangovan, Ling Liu, Lei Xu, Sravan Babu Bodapati, Dan Roth	N/A	N/A
Linguistically Conditioned Semantic Textual Similarity	Jingxuan Tu, Keer Xu, Liulu Yue, Bingyang Ye, Kyeongmin Rim, James Pustejovsky	N/A	N/A
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future	Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu	N/A	N/A
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models	Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin	N/A	N/A
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering	Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin	N/A	N/A
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base	Siyu Yuan, Jiangjie Chen, Changzhi Sun, Jiaqing Liang, Yanghua Xiao, Deqing Yang	N/A	N/A
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation	Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan SHI, Bo LIU, Xiao-Ming Wu	N/A	N/A
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models	Damai Dai, Chengqi Deng, Chenggang Zhao, R.X. Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y. Wu, Zhenda Xie, Y.K. Li, Panpan Huang, Fuli Luo, Chong Ruan, Zhifang Sui, Wenfeng Liang	N/A	N/A
Grounding Language Model with Chunking-Free In-Context Retrieval	Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou	N/A	N/A
Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation	Jiaxin Bai, Yicheng Wang, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song	N/A	N/A
Active Prompting with Chain-of-Thought for Large Language Models	Shizhe Diao, Pengcheng Wang, Yong Lin, Rui Pan, Xiang Liu, Tong Zhang	N/A	N/A
EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs	Xiangyu Zhao, Bo LIU, Qijiong Liu, Guangyuan SHI, Xiao-Ming Wu	N/A	N/A
Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search	Haochen Li, Xin Zhou, Zhiqi Shen	N/A	N/A
A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications	Naomi Baes, Nick Haslam, Ekaterina Vylomova	N/A	N/A
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal	Jianheng Huang, Leyang Cui, Ante Wang, chengyiyang, Xinting Liao, Linfeng Song, Junfeng Yao, Jinsong Su	N/A	N/A
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency	Baizhou Huang, Shuai Lu, Xiaojun Wan, Nan Duan	N/A	N/A
Citation-Enhanced Generation for LLM-based Chatbots	Weitao Li, Junkai Li, Weizhi Ma, Yang Liu	N/A	N/A
Transitive Consistency Constrained Learning for Entity-to-Entity Stance Detection	Haoyang Wen, Eduard Hovy, Alexander G Hauptmann	N/A	N/A
Feature-Adaptive and Data-Scalable In-Context Learning	Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao	N/A	N/A
Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games	Yizhe Zhang, Jiarui Lu, Navdeep Jaitly	N/A	N/A
WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models	Shangqing Tu, Yuliang Sun, Yushi Bai, Jifan Yu, Lei Hou, Juanzi Li	N/A	N/A
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models	Yida Zhao, Chao Lou, Kewei Tu	N/A	N/A
A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation	Zhengrui Ma, Qingkai Fang, Shaolei Zhang, Shoutao Guo, Yang Feng, Min zhang	N/A	N/A
PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents	Qisen Yang, Zekun Wang, Honghui Chen, Shenzhi Wang, Yifan Pu, Xin Gao, Wenhao Huang, Shiji Song, Gao Huang	N/A	N/A
Probing Language Models for Pre-training Data Detection	Zhenhua Liu, Tong Zhu, Chuanyuan Tan, Bing Liu, Haonan Lu, Wenliang Chen	N/A	N/A
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding	Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua	N/A	N/A
IBSEN: Director-Actor Agent Collaboration for Controllable and Interactive Drama Script Generation	Senyu Han, Lu Chen, Li-Min Lin, Zhengshan Xu, Kai Yu	N/A	N/A
Language Model Adaption for Reinforcement Learning with Natural Language Action Space	Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu	N/A	N/A
Evaluating Intention Detection Capability of Large Language Models in Persuasive Dialogues	Hiromasa Sakurai, Yusuke Miyao	N/A	N/A
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression	Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu	N/A	N/A
Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model	Chuhao Jin, Kening Ren, Lingzhen Kong, Xiting Wang, Ruihua Song, huan chen	N/A	N/A
HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy	Mengxi Xiao, Qianqian Xie, Ziyan Kuang, Zhicheng Liu, Kailai Yang, Min Peng, Weiguang Han, Jimin Huang	N/A	N/A
Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition	Zirun Guo, Tao Jin, Zhou Zhao	N/A	N/A
An Effective Pronunciation Assessment Approach Leveraging Hierarchical Transformers and Pre-training Strategies	Bi-Cheng Yan, Jiun-Ting Li, Yi-Cheng Wang, Hsin Wei Wang, Tien-Hong Lo, Yung-Chang Hsu, Wei-Cheng Chao, Berlin Chen	N/A	N/A
Detection-Correction Structure via General Language Model for Grammatical Error Correction	Wei Li, Houfeng Wang	N/A	N/A
Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer	Yongxin Zhu, Dan Su, Liqiang He, Linli Xu, Dong Yu	N/A	N/A
Selene: Pioneering Automated Proof in Software Verification	Lichen Zhang, Shuai Lu, Nan Duan	N/A	N/A
Dissecting Human and LLM Preferences	Junlong Li, Fan Zhou, Shichao Sun, Yikai Zhang, hai zhao, Pengfei Liu	N/A	N/A
UniCoder: Scaling Code Large Language Model via Universal Code	Tao Sun, Linzheng Chai, Jian Yang, Yuwei Yin, Hongcheng Guo, Jiaheng Liu, Bing Wang, Liqun Yang, Zhoujun Li	N/A	N/A
AoE: Angle-optimized Embeddings for Semantic Textual Similarity	Xianming LI, Jing Li	N/A	N/A
InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews	Xintao Wang, Yunze Xiao, Jen-tse Huang, Siyu Yuan, Rui Xu, Haoran Guo, Quan Tu, Yaying Fei, Ziang Leng, Wei Wang, Jiangjie Chen, Cheng Li, Yanghua Xiao	N/A	N/A
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better	Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen	N/A	N/A
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators	Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold	N/A	N/A
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering	Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold	N/A	N/A
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin	Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Wei Shen, Limao Xiong, Yuhao Zhou, Xiao Wang, Zhiheng Xi, Xiaoran Fan, Shiliang Pu, Zhu Jiang, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation	Xiaoying Zhang, Baolin Peng, Ye Tian, Jingyan Zhou, Lifeng Jin, Linfeng Song, Haitao Mi, Helen M. Meng	N/A	N/A
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions	Zheng Wang, Shu Xian Teo, Jieer Ouyang, Yongjun xu, Wei Shi	N/A	N/A
AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension	Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, Yuanjun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou	N/A	N/A
Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies	Tom Kocmi, Vilém Zouhar, Christian Federmann, Matt Post	N/A	N/A
ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models	Yuanyi Ren, Haoran Ye, Hanjun Fang, Xin Zhang, Guojie Song	N/A	N/A
DM-BLI: Dynamic Multiple Subspaces Alignment for Unsupervised Bilingual Lexicon Induction	Ling Hu, Yuemei Xu	N/A	N/A
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations	Jesus Solano, Mardhiyah Sanni, Oana-Maria Camburu, Pasquale Minervini	N/A	N/A
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation	Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N Sainath, Phil Woodland	N/A	N/A
REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation	Jinyuan Fang, Zaiqiao Meng, Craig MacDonald	N/A	N/A
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks	Yingji Zhang, Danilo Carvalho, Andre Freitas	N/A	N/A
MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation	Yan Ma, Yu Qiao, Pengfei Liu	N/A	N/A
Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization	Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu	N/A	N/A
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages	Junjie Ye, Sixian Li, Guanyu Li, Huangcaishuang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
A synthetic data approach for domain generalization of NLI models	Mohammad Javad Hosseini, Andrey Petrov, Alex Fabrikant, Annie Louis	N/A	N/A
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild	Ting Wu, Jingyi Liu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models	Jiaqi Zhao, Miao Zhang, Chao Zeng, Ming Wang, Xuebo Liu, Liqiang Nie	N/A	N/A
VariErr NLI: Separating Annotation Error from Human Label Variation	Leon Weber-Genzel, Siyao Peng, Marie-Catherine de Marneffe, Barbara Plank	N/A	N/A
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient	Mingxin Li, Richong Zhang, Zhijie Nie	N/A	N/A
Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation	Xunjian Yin, Xu Zhang, Jie Ruan, Xiaojun Wan	N/A	N/A
ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval	Soyoung Yoon, Eunbi Choi, Jiyeon Kim, Hyeongu Yun, Yireun Kim, seung-won hwang	N/A	N/A
Exploring the Potential of Large Language Models in Computational Argumentation	Guizhen Chen, Liying Cheng, Anh Tuan Luu, Lidong Bing	N/A	N/A
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks	Viktor Moskvoretskii, Ekaterina Neminova, Alina Lobanova, Alexander Panchenko, Irina Nikishina	N/A	N/A
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning	Weiqi Wang, Tianqing Fang, Chunyang Li, Haochen Shi, Wenxuan Ding, Baixuan Xu, Zhaowei Wang, Jiaxin Bai, Xin Liu, Cheng Jiayang, Chunkit Chan, Yangqiu Song	N/A	N/A
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter	Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren	N/A	N/A
Surgical Feature-Space Decomposition of LLMs: Why, When and How?	Arnav Chavan, Nahush Lele, Deepak Gupta	N/A	N/A
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance	Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Junqi Dai, Qinyuan Cheng, Xuanjing Huang, Xipeng Qiu	N/A	N/A
Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering	Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang	N/A	N/A
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression	Peiyu Liu, Ze-Feng Gao, Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen	N/A	N/A
Emergent Word Order Universals from Cognitively-Motivated Language Models	Tatsuki Kuribayashi, Ryo Ueda, Ryo Yoshida, Yohei Oseki, Ted Briscoe, Timothy Baldwin	N/A	N/A
VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models	Seoyeon Kim, Kwangwook Seo, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee	N/A	N/A
Making Long-Context Language Models Better Multi-Hop Reasoners	Yanyang Li, Shuo Liang, Michael Lyu, Liwei Wang	N/A	N/A
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models	Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schuetze	N/A	N/A
Extreme Miscalibration and the Illusion of Adversarial Robustness	Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis	N/A	N/A
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation	Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin	N/A	N/A
Co-training for Low Resource Scientific Natural Language Inference	Mobashir Sadat, Cornelia Caragea	N/A	N/A
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models	Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao	N/A	N/A
Time is Encoded in the Weights of Finetuned Language Models	Kai Nylund, Suchin Gururangan, Noah A. Smith	N/A	N/A
Long-Context Language Modeling with Parallel Context Encoding	Howard Yen, Tianyu Gao, Danqi Chen	N/A	N/A
SirLLM: Streaming Infinite Retentive LLM	Yao Yao, Zuchao Li, hai zhao	N/A	N/A
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models	Tao Feng, Lizhen Qu, Zhuang Li, Haolan Zhan, YUNCHENG HUA, Reza Haf	N/A	N/A
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale	Xiang Hu, Pengyu Ji, Qingyang Zhu, Wei Wu, Kewei Tu	N/A	N/A
MELA: Multilingual Evaluation of Linguistic Acceptability	Ziyin Zhang, Yikang Liu, Weifang Huang, Junyu Mao, Rui Wang, Hai Hu	N/A	N/A
Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View	Jintian Zhang, Xin Xu, Ningyu Zhang, Ruibo Liu, Bryan Hooi, Shumin Deng	N/A	N/A
CopyNE: Better Contextual ASR by Copying Named Entities	Shilin Zhou, Zhenghua Li, Yu Hong, Min Zhang, Zhefeng Wang, Baoxing Huai	N/A	N/A
Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval	Peter Baile Chen, Yi Zhang, Dan Roth	N/A	N/A
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation	Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao	N/A	N/A
ItD: Large Language Models Can Teach Themselves Induction through Deduction	Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu	N/A	N/A
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs	Zimu Lu, Aojun Zhou, Houxing Ren, Ke Wang, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li	N/A	N/A
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin	Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu	N/A	N/A
Rethinking Task-Oriented Dialogue Systems: From Complex Modularity to Zero-Shot Autonomous Agent	Heng-Da Xu, Xian-Ling Mao, Puhai Yang, Fanshu Sun, Heyan Huang	N/A	N/A
On Context Utilization in Summarization with Large Language Models	Mathieu Ravaut, Aixin Sun, Nancy F. Chen, Shafiq Joty	N/A	N/A
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning	Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zheng Liu, Ji-Rong Wen, Zhicheng Dou	N/A	N/A
Enhancing In-Context Learning via Implicit Demonstration Augmentation	Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang	N/A	N/A
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA	Sheng Wang, Boyang XUE, Jiacheng Ye, Jiyue Jiang, Liheng Chen, Lingpeng Kong, Chuan Wu	N/A	N/A
Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics	Chun Hei Lo, Wai Lam, Hong Cheng, Guy Emerson	N/A	N/A
Improving Event Definition Following For Zero-Shot Event Detection	Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng	N/A	N/A
Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements	Xiao Wei, Xu Qi, Hang Yu, Qian Liu, Erik Cambria	N/A	N/A
Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding	Yiruo Cheng, Kelong Mao, Zhicheng Dou	N/A	N/A
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks	Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, Tianxing He	N/A	N/A
CausalGym: Benchmarking causal interpretability methods on linguistic tasks	Aryaman Arora, Dan Jurafsky, Christopher Potts	N/A	N/A
Training Language Models to Generate Text with Citations via Fine-grained Rewards	Chengyu Huang, Zeqiu Wu, Yushi Hu, Wenya Wang	N/A	N/A
Hypergraph based Understanding for Document Semantic Entity Recognition	Qiwei Li, Zuchao Li, Ping Wang, Haojun Ai, hai zhao	N/A	N/A
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers	Qintong Li, Leyang Cui, Xueliang Zhao, Lingpeng Kong, Wei Bi	N/A	N/A
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models	Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang	N/A	N/A
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning	Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, chengfei lv, Huajun Chen	N/A	N/A
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks	Santosh T.Y.S.S, Tuan-Quang Vuong, Matthias Grabmair	N/A	N/A
Virtual Compiler Is All You Need For Assembly Code Search	Zeyu Gao, Hao Wang, Yuanda Wang, Chao Zhang	N/A	N/A
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning	Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei	N/A	N/A
Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning	Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng, Jingbo Shang	N/A	N/A
An Iterative Associative Memory Model for Empathetic Response Generation	Zhou Yang, Zhaochun Ren, Wang Yufeng, Haizhou Sun, Chao Chen, Xiaofei Zhu, Xiangwen Liao	N/A	N/A
Detoxifying Large Language Models via Knowledge Editing	Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen	N/A	N/A
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding	Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li	N/A	N/A
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models	Yuyan Chen, Songzhou Yan, Panjun Liu, Yanghua Xiao	N/A	N/A
UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages	Trinh Pham, Khoi M. Le, Anh Tuan Luu	N/A	N/A
VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval	Junjie Zhou, Zheng Liu, Shitao Xiao, Bo Zhao, yongping xiong	N/A	N/A
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training	Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang	N/A	N/A
Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark	Chanjun Park, Hyeonwoo Kim, Dahyun Kim, SeongHwan Cho, Sanghoon Kim, Sukyung Lee, Yungi Kim, Hwalsuk Lee	N/A	N/A
Unified Hallucination Detection for Multimodal Large Language Models	Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, xiaoyan yang, Qiang Li, YUE SHEN, Lei Liang, Jinjie GU, Huajun Chen	N/A	N/A
Empowering Character-level Text Infilling by Eliminating Sub-Tokens	Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Hongsheng Li	N/A	N/A
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models	Kun Luo, Zheng Liu, Shitao Xiao, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu	N/A	N/A
GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?	Dayoon Ko, Jinyoung Kim, Hahyeon Choi, Gunhee Kim	N/A	N/A
Attribute First, then Generate: Locally-attributable Grounded Text Generation	Aviv Slobodkin, Eran Hirsch, Arie Cattan, Tal Schuster, Ido Dagan	N/A	N/A
T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text	Aoxiong Yin, Haoyuan Li, Kai Shen, Siliang Tang, Yueting Zhuang	N/A	N/A
OceanGPT: A Large Language Model for Ocean Science Tasks	Zhen Bi, Ningyu Zhang, Yida Xue, Yixin Ou, Daxiong Ji, Guozhou Zheng, Huajun Chen	N/A	N/A
Beyond Memorization: The Challenge of Random Memory Access in Language Models	Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin	N/A	N/A
BIPED: Pedagogically Informed Tutoring System for ESL Education	Soonwoo Kwon, Sojung Kim, Minju Park, Seunghyun Lee, Kyuseok Kim	N/A	N/A
Timeline-based Sentence Decomposition with In Context Learning for Temporal Fact Extraction	Jianhao Chen, Haoyuan Ouyang, Junyang Ren, Wentao Ding, Wei Hu, Yuzhong Qu	N/A	N/A
Collaboration or Corporate Capture? Quantifying NLP’s Reliance on Industry Artifacts and Contributions	Will Aitken, Mohamed Abdalla, Karen Rudie, Catherine Stinson	N/A	N/A
Prompt Expansion for Adaptive Text-to-Image Generation	Siddhartha Datta, Alexander Ku, Deepak Ramachandran, Peter Anderson	N/A	N/A
Progressively Modality Freezing for Multi-Modal Entity Alignment	Yani Huang, Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim	N/A	N/A
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval	Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian	N/A	N/A
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts	Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, Lidong Bing	N/A	N/A
Metaphor Understanding Challenge Dataset for LLMs	Xiaoyu Tong, Rochelle Choenni, Martha Lewis, Ekaterina Shutova	N/A	N/A
A Multi-Task Embedder For Retrieval Augmented LLMs	Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jian-Yun Nie	N/A	N/A
Language Models Don’t Learn the Physical Manifestation of Language	Bruce W Lee, Jaehyuk Lim	N/A	N/A
Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration	Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov	N/A	N/A
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection	Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov	N/A	N/A
Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives	Wenqi Zhang, Yongliang Shen, Linjuan Wu, Qiuying Peng, Jun Wang, Yueting Zhuang, Weiming Lu	N/A	N/A
Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty	Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap	N/A	N/A
Mission: Impossible Language Models	Julie Kallini, Isabel Papadimitriou, Richard Futrell, Kyle Mahowald, Christopher Potts	N/A	N/A
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources	Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma	N/A	N/A
Semisupervised Neural Proto-Language Reconstruction	Liang Lu, Peirong Xie, David R Mortensen	N/A	N/A
When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP	Sara Papi, Marco Gaido, Andrea Pilzer, Matteo Negri	N/A	N/A
SBAAM! Eliminating Transcript Dependency in Automatic Subtitling	Marco Gaido, Sara Papi, Matteo Negri, Mauro Cettolo, Luisa Bentivogli	N/A	N/A
Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?	Marco Gaido, Sara Papi, Matteo Negri, Luisa Bentivogli	N/A	N/A
StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection	Sara Papi, Marco Gaido, Matteo Negri, Luisa Bentivogli	N/A	N/A
ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling	LingXi Zhang, Yue Yu, Kuan Wang, Chao Zhang	N/A	N/A
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference	Jihwan Bang, Juntae Lee, Kyuhong Shim, Seunghan Yang, Simyung Chang	N/A	N/A
FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model	Yebin Lee, Imseong Park, Myungjoo Kang	N/A	N/A
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations	Yuxin Wang, Ivory Yang, Saeed Hassanpour, Soroush Vosoughi	N/A	N/A
MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning	Zhenlong Dai, Chang Yao, WenKang Han, Yuanying, Zhipeng Gao, Jingyuan Chen	N/A	N/A
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows	Ajay Patel, Colin Raffel, Chris Callison-Burch	N/A	N/A
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective	Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou	N/A	N/A
Identifying while Learning for Document Event Causality Identification	Cheng Liu, Wei Xiang, Bang Wang	N/A	N/A
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems	Chaoqun He, Renjie Luo, Yuzhuo Bai, Shengding Hu, Zhen Leng Thai, Junhao Shen, Jinyi Hu, Xu Han, Yujie Huang, Yuxiang Zhang, Jie Liu, Lei Qi, Zhiyuan Liu, Maosong Sun	N/A	N/A
Insert or Attach: Taxonomy Completion via Box Embedding	Wei Xue, Yongliang Shen, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu	N/A	N/A
Semiparametric Token-Sequence Co-Supervision	Hyunji Lee, Doyoung Kim, Jihoon Jun, Se June Joo, Joel Jang, Kyoung-Woon On, Minjoon Seo	N/A	N/A
Instruction Fusion: Advancing Prompt Evolution through Hybridization	Weidong Guo, Jiuding Yang, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu	N/A	N/A
TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation	Yikai Zhang, Siyu Yuan, Caiyu Hu, Kyle Richardson, Yanghua Xiao, Jiangjie Chen	N/A	N/A
Exploring Memorization in Fine-tuned Language Models	Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin	N/A	N/A
Towards Real-world Scenario: Imbalanced New Intent Discovery	Shun Zhang, Yan Chaoran, Jian Yang, Jiaheng Liu, Ying Mo, Jiaqi Bai, Tongliang Li, Zhoujun Li	N/A	N/A
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection	Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, OSAMA MOHAMMED AFZAL, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov	N/A	N/A
Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue	Jian Wang, Chak Tou Leong, Jiashuo WANG, Dongding Lin, Wenjie Li, Xiaoyong Wei	N/A	N/A
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training	Nan He, Weichen Xiong, Hanwen Liu, Yi Liao, Lei Ding, Kai Zhang, Guohua Tang, Xiao Han, Yang Wei	N/A	N/A
Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?	Ning Bian, Xianpei Han, Hongyu Lin, Yaojie Lu, Ben He, Le Sun	N/A	N/A
Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning	Zeqi Tan, Yongliang Shen, Xiaoxia Cheng, Chang Zong, Wenqi Zhang, Jian Shao, Weiming Lu, Yueting Zhuang	N/A	N/A
CaMML: Context-Aware Multimodal Learner for Large Models	Yixin Chen, Shuai Zhang, Boran Han, Tong He, Bo Li	N/A	N/A
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation	Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li	N/A	N/A
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes	Lizhou Fan, Wenyue Hua, Lingyao Li, Haoyang Ling, Yongfeng Zhang	N/A	N/A
Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models	Zhiwei He, Binglin Zhou, Hongkun Hao, Aiwei Liu, Xing Wang, Zhaopeng Tu, Zhuosheng Zhang, Rui Wang	N/A	N/A
Speech vs. Transcript: Does It Matter for Human Annotators in Speech Summarization?	Roshan Sharma, Suwon Shon, Mark Lindsey, Hira Dhamyal, Bhiksha Raj	N/A	N/A
Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors	Alicja Chaszczewicz, Raj Sanjay Shah, Ryan Louie, Bruce A Arnow, Robert Kraut, Diyi Yang	N/A	N/A
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search	Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang	N/A	N/A
In­-context Mixing (ICM): Code­-mixed Prompts for Multilingual LLMs	Bhavani Shankar, Preethi Jyothi, Pushpak Bhattacharyya	N/A	N/A
Respond in my Language: Mitigating Language Inconsistency in Response Generation based on Large Language Models	Liang Zhang, Qin Jin, Haoyang Huang, Dongdong Zhang, Furu Wei	N/A	N/A
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries	Yu-Hsiang Huang, Yuche Tsai, Hsiang Hsiao, Hong-Yi Lin, Shou-De Lin	N/A	N/A
Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding	Kuo Liao, Shuang Li, Meng Zhao, Liqun Liu, Mengge Xue, zhenyu hu, Honglin Han, Chengguo Yin	N/A	N/A
Intuitive or Dependent? Investigating LLMs’ Behavior Style to Conflicting Prompts	Jiahao Ying, Yixin Cao, Kai Xiong, Long Cui, yidong He, Yongbin Liu	N/A	N/A
CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending	Shiyi Zhu, Jing Ye, Wei Jiang, Siqiao Xue, Qi Zhang, Yifan Wu, Jianguo Li	N/A	N/A
Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization	Salman Elgamal, Ossama Obeid, MHD Tameem Kabbani, Go Inoue, Nizar Habash	N/A	N/A
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification	Jan Trienes, Sebastian Antony Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C Wallace, Junyi Jessy Li	N/A	N/A
Disinformation Capabilities of Large Language Models	Ivan Vykopal, Matúš Pikuliak, Ivan Srba, Robert Moro, Dominik Macko, Maria Bielikova	N/A	N/A
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models	Junhao Zheng, Shengjie Qiu, Qianli Ma	N/A	N/A
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following	Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou	N/A	N/A
DAPR: A Benchmark on Document-Aware Passage Retrieval	Kexin Wang, Nils Reimers, Iryna Gurevych	N/A	N/A
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study	Andreas Waldis, Yufang Hou, Iryna Gurevych	N/A	N/A
Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors	Mengge Xue, zhenyu hu, Liqun Liu, Kuo Liao, Shuang Li, Honglin Han, Meng Zhao, Chengguo Yin	N/A	N/A
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph	Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye	N/A	N/A
Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages	Samuel Cahyawijaya, Holy Lovenia, Fajri Koto, Rifki Afina Putri, Wawan Cenggoro, Jhonson Lee, Salsabil Maulana Akbar, Emmanuel Dave, Nuurshadieq, Muhammad Ihza Mahendra, Rr Dea Annisayanti Putri, Bryan Wilie, Genta Indra Winata, Alham Fikri Aji, Ayu Purwarianti, Pascale Fung	N/A	N/A
Uncertainty-Guided Modal Rebalance for Hateful Memes Detection	Chuanpeng Yang, Yaxin Liu, Fuqing Zhu, Jizhong Han, Songlin Hu	N/A	N/A
Must NLP be Extractive?	Steven Bird	N/A	N/A
Spiral of Silence: How is Large Language Model Killing Information Retrieval?—A Case Study on Open Domain Question Answering	Xiaoyang Chen, Ben He, Hongyu Lin, Xianpei Han, Tianshu Wang, Boxi Cao, Le Sun, Yingfei Sun	N/A	N/A
Missci: Reconstructing Fallacies in Misrepresented Science	Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych	N/A	N/A
Uncovering the Full Potential of Visual Grounding Methods in VQA	Daniel Reich, Tanja Schultz	N/A	N/A
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs	Jiejun Tan, Zhicheng Dou, Yutao Zhu, Peidong Guo, Kun Fang, Ji-Rong Wen	N/A	N/A
Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation	Pius von Däniken, Jan Milan Deriu, Don Tuggener, Mark Cieliebak	N/A	N/A
LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback	Timon Ziegenbein, Gabriella Skitalinskaya, Alireza Bayat Makou, Henning Wachsmuth	N/A	N/A
Graph Language Models	Moritz Plenz, Anette Frank	N/A	N/A
Analyzing Semantic Change through Lexical Replacements	Francesco Periti, Pierluigi Cassotti, Haim Dubossarsky, Nina Tahmasebi	N/A	N/A
Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization	Zhe Xu, Kun Wei, Xu Yang, Cheng Deng	N/A	N/A
Latxa: An Open Language Model and Evaluation Suite for Basque	Julen Etxaniz, Oscar Sainz, Naiara Perez Miguel, Itziar Aldabe, German Rigau, Eneko Agirre, Aitor Ormazabal, Mikel Artetxe, Aitor Soroa	N/A	N/A
Interpretability of Language Models via Task Spaces	Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes	N/A	N/A
Using Synchronic Definitions and Semantic Relations to Classify Semantic Change Types	Pierluigi Cassotti, Stefano De Pascale, Nina Tahmasebi	N/A	N/A
Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators	Matéo Mahaut, Laura Aina, Paula Czarnowska, Momchil Hardalov, Thomas Müller, Lluis Marquez	N/A	N/A
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback	Shihan Dou, Yan Liu, Haoxiang Jia, Enyu Zhou, Limao Xiong, Junjie Shan, Huangcaishuang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
One-Shot Learning as Instruction Data Prospector for Large Language Models	Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Ling-Hao Chen, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin Li	N/A	N/A
Navigating the OverKill in Large Language Models	Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin	N/A	N/A
Why are Sensitive Functions Hard for Transformers?	Michael Hahn, Mark Rofin	N/A	N/A
A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains	Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva	N/A	N/A
Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision	Qian Ruan, Ilia Kuznetsov, Iryna Gurevych	N/A	N/A
NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents	Tamara Czinczoll, Christoph Hönes, Maximilian Schall, Gerard de Melo	N/A	N/A
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models	Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang	N/A	N/A
Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction	Haoqiu Yan, Yongxin Zhu, Kai Zheng, Bing Liu, Haoyu Cao, Deqiang Jiang, Linli Xu	N/A	N/A
Learning to Edit: Aligning LLMs with Knowledge Editing	Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang	N/A	N/A
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning	Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai	N/A	N/A
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators	Indraneil Paul, Goran Glavaš, Iryna Gurevych	N/A	N/A
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality	Brielen Madureira, Patrick Kahardipraja, David Schlangen	N/A	N/A
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models	Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych	N/A	N/A
Planning Like Human: A Dual-process Framework for Dialogue Planning	Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin	N/A	N/A
Spectral Filters, Dark Signals, and Attention Sinks	Nicola Cancedda	N/A	N/A
DiffuCOMET: Contextual Commonsense Knowledge Diffusion	Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut	N/A	N/A
Systematic Task Exploration with LLMs: A Study in Citation Text Generation	Furkan Şahinuç, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych	N/A	N/A
The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning	Rochelle Choenni, Anne Lauscher, Ekaterina Shutova	N/A	N/A
Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition	Matteo Bortoletto, Constantin Ruhdorfer, Adnen Abdessaied, Lei Shi, Andreas Bulling	N/A	N/A
MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling	Tomasz Limisiewicz, Terra Blevins, Hila Gonen, Orevaoghene Ahia, Luke Zettlemoyer	N/A	N/A
Temporal Knowledge Question Answering via Abstract Reasoning Induction	Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang	N/A	N/A
MultiLegalPile: A 689GB Multilingual Legal Corpus	Joel Niklaus, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho	N/A	N/A
Who Wrote this Code? Watermarking for Code Generation	Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim	N/A	N/A
MapCoder: Multi-Agent Code Generation for Competitive Problem Solving	Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez	N/A	N/A
RelayAttention for Efficient Large Language Model Serving with Long System Prompts	Lei Zhu, Xinjiang Wang, Wayne Zhang, Rynson W. H. Lau	N/A	N/A
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting	Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao	N/A	N/A
Open Grounded Planning: Challenges and Benchmark Construction	Shiguang Guo, Ziliang Deng, Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun	N/A	N/A
WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations	Haolin Deng, Chang Wang, Li Xin, Dezhang Yuan, Junlang Zhan, Tian Hua Zhou, Jin Ma, Jun Gao, Ruifeng Xu	N/A	N/A
LLM Knows Body Language, Too: Translating Speech Voices into Human Gestures	Chenghao Xu, Guangtao Lyu, Jiexi Yan, Muli Yang, Cheng Deng	N/A	N/A
QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction	Xiang Huang, Sitao Cheng, Shanshan Huang, Jiayu Shen, Yong Xu, Chaoyun Zhang, Yuzhong Qu	N/A	N/A
PITA: Prompting Task Interaction for Argumentation Mining	Yang Sun, Muyi Wang, Jianzhu Bao, Bin Liang, Xiaoyan Zhao, Caihua Yang, Min Yang, Ruifeng Xu	N/A	N/A
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models	Jinhao Duan, Hao Cheng, Shiqi Wang, Alex Zavalny, Chenan Wang, Renjing Xu, Bhavya Kailkhura, Kaidi Xu	N/A	N/A
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations	Gregor Geigle, Radu Timofte, Goran Glavaš	N/A	N/A
Estimating Agreement by Chance for Sequence Annotation	Diya Li, Carolyn Rose, Ao Yuan, Chunxiao Zhou	N/A	N/A
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages	Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell	N/A	N/A
Are Emergent Abilities in Large Language Models just In-Context Learning?	Sheng Lu, Irina Bigoulaeva, Rachneet Singh Sachdeva, Harish Tayyar Madabushi, Iryna Gurevych	N/A	N/A
WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning	Zhaojian Yu, Xin Zhang, Ning Shang, Yangyu Huang, Can Xu, Yishujie Zhao, Wenxiang Hu, Qiufeng Yin	N/A	N/A
Eliciting Better Multilingual Structured Reasoning from LLMs through Code	Bryan Li, Tamer Alkhouli, Daniele Bonadiman, Nikolaos Pappas, Saab Mansour	N/A	N/A
OLIVE: Object Level In-Context Visual Embeddings	Timothy Ossowski, Junjie Hu	N/A	N/A
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness	Jiuhai Chen, Jonas Mueller	N/A	N/A
Marathon: A Race Through the Realm of Long Context with Large Language Models	Lei Zhang, Yunshui Li, Ziqiang Liu, Jiaxi Yang, Junhao Liu, Longze Chen, Run Luo, Min Yang	N/A	N/A
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph	Xiaochen Kev Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang	N/A	N/A
PCAD: Towards ASR-Robust Spoken Language Understanding via Prototype Calibration and Asymmetric Decoupling	Xianwei Zhuang, Xuxin Cheng, Liming Liang, Yuxin Xie, Zhichang Wang, Zhiqi Huang, Yuexian Zou	N/A	N/A
Rethinking the Multimodal Correlation of Multimodal Sequential Learning via Generalizable Attentional Results Alignment	Tao Jin, Wang Lin, Ye Wang, Linjun Li, Xize Cheng, Zhou Zhao	N/A	N/A
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation	Xun Liang, Shichao Song, Simin Niu, Zhiyu li, Feiyu Xiong, Bo Tang, Yezhaohui Wang, Dawei He, Cheng Peng, Zhonghao Wang, Haiying Deng	N/A	N/A
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers	Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne	N/A	N/A
Triple-Encoders: Representations That Fire Together, Wire Together	Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, Iryna Gurevych	N/A	N/A
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning	Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin	N/A	N/A
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization	Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu	N/A	N/A
Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing	Behzad Shayegh, Yuqiao Wen, Lili Mou	N/A	N/A
Your Transformer is Secretly Linear	Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan Oseledets, Denis Dimitrov, Andrey Kuznetsov	N/A	N/A
Noise Correction on Subjective Datasets	Uthman Jinadu, Yi Ding	N/A	N/A
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers	Lütfi Kerem Senel, Besnik Fetahu, Davis Yoshida, Zhiyu Chen, Giuseppe Castellucci, Nikhita Vedula, Jason Ingyu Choi, Shervin Malmasi	N/A	N/A
Instruction-tuned Language Models are Better Knowledge Learners	Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer	N/A	N/A
What Do Language Models Hear? Probing for Auditory Representations in Language Models	Jerry Ngo, Yoon Kim	N/A	N/A
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs	Zae Myung Kim, Kwang Hee Lee, Preston Zhu, Vipul Raheja, Dongyeop Kang	N/A	N/A
Jailbreak Open-Sourced Large Language Models via Enforced Decoding	Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu	N/A	N/A
NICE: To Optimize In-Context Examples or Not?	Pragya Srivastava, Satvik Golechha, Amit Deshpande, Amit Sharma	N/A	N/A
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation	Weixiang Yan, Haitian Liu, Yunkun Wang, Yunzhe Li, Qian Chen, Wen Wang, Tingyu Lin, Weishan Zhao, Li Zhu, Hari Sundaram, Shuiguang Deng	N/A	N/A
Digital Socrates: Evaluating LLMs through Explanation Critiques	Yuling Gu, Oyvind Tafjord, Peter Clark	N/A	N/A
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding	Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran	N/A	N/A
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs	Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran	N/A	N/A
Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once?	Guijin Son, SangWon Baek, Sangdae Nam, Ilgyun Jeong, Seungone Kim	N/A	N/A
ChatDev: Communicative Agents for Software Development	Chen Qian, Wei Liu, Hongzhang Liu, Nuo Chen, Yufan Dang, Jiahao Li, Cheng Yang, Weize Chen, Yusheng Su, Xin Cong, Juyuan Xu, dahai li, Zhiyuan Liu, Maosong Sun	N/A	N/A
Experiential Co-Learning of Software-Developing Agents	Chen Qian, Yufan Dang, Jiahao Li, Wei Liu, Zihao Xie, YiFei Wang, Weize Chen, Cheng Yang, Xin Cong, Xiaoyin Che, Zhiyuan Liu, Maosong Sun	N/A	N/A
Learning Geometry-Aware Representations for New Intent Discovery	Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang	N/A	N/A
Speaker Verification in Agent-generated Conversations	Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Ee-Peng Lim	N/A	N/A
Benchmarking Data Science Agents	Yuge Zhang, Qiyang Jiang, XingyuHan, Nan Chen, Yuqing Yang, Kan Ren	N/A	N/A
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models	Tianyi Tang, Wenyang Luo, Haoyang Huang, Dongdong Zhang, Xiaolei Wang, Xin Zhao, Furu Wei, Ji-Rong Wen	N/A	N/A
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models	Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang	N/A	N/A
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques	Megh Thakkar, Quentin Fournier, Matthew D Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar	N/A	N/A
Zero-Shot Cross-Domain Dialogue State Tracking via Dual Low-Rank Adaptation	Xiang Luo, Zhiwen Tang, Jin Wang, Xuejie Zhang	N/A	N/A
PRP-Graph: Pairwise Ranking Prompting to LLMs with Graph Aggregation for Effective Text Re-ranking	Jian Luo, Xuanang Chen, Ben He, Le Sun	N/A	N/A
RepCodec: A Speech Representation Codec for Speech Tokenization	Zhichao Huang, Chutong Meng, Tom Ko	N/A	N/A
Disentangled Learning with Synthetic Parallel Data for Text Style Transfer	Jingxuan Han, Quan Wang, Zikang Guo, Benfeng Xu, Licheng Zhang, Zhendong Mao	N/A	N/A
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick	Jiayi Fu, Xuandong Zhao, Ruihan Yang, Yuansen Zhang, Jiangjie Chen, Yanghua Xiao	N/A	N/A
PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety	Zaibin Zhang, Yongting Zhang, Lijun Li, Jing Shao, Hongzhi Gao, Yu Qiao, Lijun Wang, Huchuan Lu, Feng Zhao	N/A	N/A
Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection	Zihan Ma, Minnan Luo, Hao Guo, Zhi Zeng, Yiran Hao, Xiang Zhao	N/A	N/A
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions	Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou	N/A	N/A
Stealthy Attack on Large Language Model based Recommendation	Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang	N/A	N/A
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning	Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Lee, Jungseul Ok	N/A	N/A
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models	Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li	N/A	N/A
SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning	Guoxin Chen, kexin Tang, Chao Yang, Fuying Ye, Yu Qiao, Yiming Qian	N/A	N/A
Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning	Yeachan Kim, Junho Kim, SangKeun Lee	N/A	N/A
SparseFlow: Accelerating Transformers by Sparsifying Information Flows	Yeachan Kim, SangKeun Lee	N/A	N/A
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding	Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua	N/A	N/A
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models	Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang	N/A	N/A
EmoBench: Evaluating the Emotional Intelligence of Large Language Models	Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna Shiergetya Sunaryo, Tatia M.C. Lee, Rada Mihalcea, Minlie Huang	N/A	N/A
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation	Dongjin Kang, Sunghwan Kim, Taeyoon Kwon, Seungjun Moon, Hyunsouk Cho, Youngjae Yu, Dongha Lee, Jinyoung Yeo	N/A	N/A
Are AI-Generated Text Detectors Robust to Adversarial Perturbations?	Guanhua Huang, Yuchen Zhang, Zhe Li, Yongjian You, Mingze Wang, Zhouwang Yang	N/A	N/A
FinTextQA: A Dataset for Long-form Financial Question Answering	Jian Chen, Peilin Zhou, Yining Hua, Loh Ying Xin, Kehui chen, Ziyuan Li, Bing Zhu, Junwei Liang	N/A	N/A
On Measuring Faithfulness or Self-consistency of Natural Language Explanations	Letitia Parcalabescu, Anette Frank	N/A	N/A
$\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens	Xinrong Zhang, Yingfa Chen, Shengding Hu, Zihang Xu, Junhao Chen, Moo Khai Hao, Xu Han, Zhen Leng Thai, Shuo Wang, Zhiyuan Liu, Maosong Sun	N/A	N/A
Learning or Self-aligning? Rethinking Instruction Fine-tuning	Mengjie Ren, Boxi Cao, Hongyu Lin, Cao Liu, Xianpei Han, Ke Zeng, Wan Guanglu, Xunliang Cai, Le Sun	N/A	N/A
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?	Qineng Wang, Zihao Wang, Ying Su, Hanghang Tong, Yangqiu Song	N/A	N/A
Soft Knowledge Prompt: Help External Knowledge Become a Better Teacher to Instruct LLM in Knowledge-based VQA	Qunbo Wang, Ruyi Ji, Tianhao Peng, Wenjun Wu, Zechao Li, Jing Liu	N/A	N/A
TasTe: Teaching Large Language Models to Translate through Self-Reflection	Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang	N/A	N/A
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models	Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li	N/A	N/A
Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language Models	Tharindu Madusanka, Ian Pratt-Hartmann, Riza Batista-Navarro	N/A	N/A
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion	Wei Li, Xue Xu, Jiachen Liu, Xinyan Xiao	N/A	N/A
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities	David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran	N/A	N/A
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models	Paul Röttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Rose Kirk, Hinrich Schuetze, Dirk Hovy	N/A	N/A
AI ‘News’ Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian	Giovanni Puccetti, Anna Rogers, Chiara Alzetta, Felice Dell’Orletta, Andrea Esuli	N/A	N/A
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?	Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng	N/A	N/A
Unveiling Linguistic Regions in Large Language Models	Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
Text-to-Song: Towards Controllable Music Generation Incorporating Vocal and Accompaniment	Zhiqing Hong, Rongjie Huang, Xize Cheng, Yongqi Wang, Ruiqi Li, Fuming You, Zhou Zhao, Zhimeng Zhang	N/A	N/A
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection	Yufei Huang, Xu Han, Maosong Sun	N/A	N/A
Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations	Yisong Miao, Hongfu Liu, Wenqiang Lei, Nancy F. Chen, Min-Yen Kan	N/A	N/A
An Open Multilingual System for Scoring Readability of Wikipedia	Mykola Trokhymovych, Indira Sen, Martin Gerlach	N/A	N/A
Unlearning Traces the Influential Training Data of Language Models	Masaru Isonuma, Ivan Titov	N/A	N/A
Exploring Alignment in Shared Cross-lingual Spaces	Basel Mousi, Nadir Durrani, Fahim Dalvi, Majd Hawasly, Ahmed Abdelali	N/A	N/A
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models	Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, Michael Lyu	N/A	N/A
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner	Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin	N/A	N/A
WRP: Weight Recover Prune for Structured Sparsity	Zhendong Tan, Xingjun Zhang, Zheng Wei	N/A	N/A
Error-preserving Automatic Speech Recognition of Young English Learners’ Language	Janick Michot, Manuela Hürlimann, Jan Milan Deriu, Luzia Sauer, Katsiaryna Mlynchyk, Mark Cieliebak	N/A	N/A
DiFiNet: Boundary-Aware Semantic Differentiation and Filtration Network for Nested Named Entity Recognition	Yuxiang Cai, Qiao Liu, Yanglei Gan, Run Lin, Changlin Li, Xueyi Liu, Da Luo, JiayeYang	N/A	N/A
Legal Case Retrieval: A Survey of the State of the Art	Yi Feng, Chuanyi Li, Vincent Ng	N/A	N/A
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models	Mosh Levy, Alon Jacoby, Yoav Goldberg	N/A	N/A
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation	Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao	N/A	N/A
LLaMA Pro: Progressive LLaMA with Block Expansion	Chengyue Wu, Yukang Gan, Yixiao Ge, Zeyu Lu, Jiahao Wang, Ye Feng, Ying Shan, Ping Luo	N/A	N/A
Generating Contrastive Narratives Using the Brownian Bridge Process for Narrative Coherence Learning	Feiteng Mu, Wenjie Li	N/A	N/A
A Causal Approach for Counterfactual Reasoning in Narratives	Feiteng Mu, Wenjie Li	N/A	N/A
SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation	Matthias Lindemann, Alexander Koller, Ivan Titov	N/A	N/A
The Hidden Space of Transformer Language Adapters	Jesujoba Oluwadara Alabi, Marius Mosbach, Matan Eyal, Dietrich Klakow, Mor Geva	N/A	N/A
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts	Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Robert Moro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee	N/A	N/A
Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations	Guan-Ting Lin, Cheng-Han Chiang, Hung-yi Lee	N/A	N/A
RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable Questions	Prayushi Faldu, Indrajit Bhattacharya, Mausam .	N/A	N/A
GroundingGPT: Language Enhanced Multi-modal Grounding Model	Zhaowei Li, Xu Qi, Dong Zhang, Hang Song, YiQing Cai, Qi Qi, Ran Zhou, Junting Pan, Zefeng Li, Vu Van Tu, Zhida Huang, Tao Wang	N/A	N/A
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches	Islam Eldifrawi, Shengrui Wang, Amine Trabelsi	N/A	N/A
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages	Carlos Mullov, Quan Pham, Alexander Waibel	N/A	N/A
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget	Rui Kong, Yuanchun Li, qingtian feng, Weijun Wang, Xiaozhou Ye, Ye Ouyang, Linghe Kong, Yunxin Liu	N/A	N/A
PixT3: Pixel-based Table-To-Text Generation	Iñigo Alonso, Eneko Agirre, Mirella Lapata	N/A	N/A
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers	Gal Yona, Roee Aharoni, Mor Geva	N/A	N/A
TAMS: Translation-Assisted Morphological Segmentation	Enora Rice, Ali Marashian, Luke Gessler, Alexis Palmer, Katharina von der Wense	N/A	N/A
Disambiguate Words like Composing Them: A Morphology-Informed Approach to Enhance Chinese Word Sense Disambiguation	Yue Wang, Qiliang Liang, Yaqi Yin, Hansi Wang, Yang Liu	N/A	N/A
XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval	Mohammad Abdullah Matin Khan, M Saiful Bari, Do Xuan Long, Weishi Wang, Md Rizwan Parvez, Shafiq Joty	N/A	N/A
ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models	Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song	N/A	N/A
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia	Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West	N/A	N/A
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA	Yue Fan, Jing Gu, Kaiwen Zhou, Qianqi Yan, Shan Jiang, Ching-Chen Kuo, Yang Zhao, Xinze Guan, Xin Eric Wang	N/A	N/A
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models	Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu	N/A	N/A
Translation-based Lexicalization Generation and Lexical Gap Detection: Application to Kinship Terms	Senyu Li, Bradley Hauer, Ning Shi, Grzegorz Kondrak	N/A	N/A
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations	Ritam Dutt, Zhen Wu, Jiaxin Shi, Divyanshu Sheth, Prakhar Gupta, Carolyn Rose	N/A	N/A
Robust Frame-Semantic Models with Lexical Unit Trees and Negative Samples	Jacob Devasier, Yogesh Gurjar, Chengkai Li	N/A	N/A
Do Llamas Work in English? On the Latent Language of Multilingual Transformers	Chris Wendler, Veniamin Veselovsky, Giovanni Monea, Robert West	N/A	N/A
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation	Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri	N/A	N/A
Lightweight reranking for language model generations	Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang	N/A	N/A
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews	Mike D’Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey	N/A	N/A
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks	Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe	N/A	N/A
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning	Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri	N/A	N/A
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning	Inderjeet Jayakumar Nair, Lu Wang	N/A	N/A
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs	Justin Chen, Swarnadeep Saha, Mohit Bansal	N/A	N/A
Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning	Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, Yulan He	N/A	N/A
Where Do People Tell Stories Online? Story Detection Across Online Communities	Maria Antoniak, Joel Mire, Maarten Sap, Elliott Ash, Andrew Piper	N/A	N/A
Large Language Models Are No Longer Shallow Parsers	Yuanhe Tian, Fei Xia, Yan Song	N/A	N/A
Dialogue Summarization with Mixture of Experts based on Large Language Models	Yuanhe Tian, Fei Xia, Yan Song	N/A	N/A
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences	Yuanhe Tian, Ruyi Gan, Yan Song, Jiaxing Zhang, Yongdong Zhang	N/A	N/A
An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs	Daking Rai, Ziyu Yao	N/A	N/A
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling	Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb Roy, Jad Kabbara	N/A	N/A
Intrinsic Task-based Evaluation for Referring Expression Generation	Guanyi Chen, Fahime Same, Kees Van Deemter	N/A	N/A
From Moments to Milestones: Incremental Timeline Summarization Leveraging Large Language Models	Qisheng Hu, Geonsik Moon, Hwee Tou Ng	N/A	N/A
End-to-end Learning of Logical Rules for Enhancing Document-level Relation Extraction	Kunxun Qi, Jianfeng Du, Hai Wan	N/A	N/A
Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data?	Qingkai Fang, Shaolei Zhang, Zhengrui Ma, Min zhang, Yang Feng	N/A	N/A
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder	Jiaqi Wang, Zhenxi Song, Zhengyu Ma, Xipeng Qiu, Min zhang, Zhiguo Zhang	N/A	N/A
G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation	Xingyuan Pan, Luyang Huang, Liyan Kang, Zhicheng Liu, Yu Lu, Shanbo Cheng	N/A	N/A
CQIL: Inference Latency Optimization with Concurrent Computation of Quasi-Independent Layers	Longwei Zou, Qingyang Wang, Han Zhao, jiangangkong, YI YANG, Yangdong Deng	N/A	N/A
Prompt Optimization via Adversarial In-Context Learning	Do Xuan Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He	N/A	N/A
StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion	Zhichao Wang, Yuanzhe Chen, Xinsheng Wang, Lei Xie, Yuping Wang	N/A	N/A
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering	Zhengliang Shi, Shuo Zhang, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren	N/A	N/A
Multimodal Contextualized Semantic Parsing from Speech	Jordan Voas, David Harwath, Ray Mooney	N/A	N/A
LaMP: When Large Language Models Meet Personalization	Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani	N/A	N/A
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters	Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren Klein, Jesse Dodge	N/A	N/A
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues	Ge Bai, Jie Liu, Xingyuan Bu, yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang	N/A	N/A
EFSA: Towards Event-Level Financial Sentiment Analysis	Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao	N/A	N/A
Media Framing: A typology and Survey of Computational Approaches Across Disciplines	Yulia Otmakhova, Shima Khanehzar, Lea Frermann	N/A	N/A
What Evidence Do Language Models Find Convincing?	Alexander Wan, Eric Wallace, Dan Klein	N/A	N/A
Advancement in Graph Understanding: A Multimodal Benchmark and Fine-Tuning of Vision-Language Models	Qihang Ai, Jiafan Li, Jincheng Dai, Jianwu Zhou, Lemao Liu, Haiyun Jiang, Shuming Shi	N/A	N/A
LangBridge: Multilingual Reasoning Without Multilingual Supervision	Dongkeun Yoon, Joel Jang, Sungdong Kim, Seungone Kim, Sheikh Shafayat, Minjoon Seo	N/A	N/A
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs	Siyuan Wang, zhongyu wei, Yejin Choi, Xiang Ren	N/A	N/A
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving	Xueliang Zhao, Xinting Huang, Wei Bi, Lingpeng Kong	N/A	N/A
Unlocking the Power of Large Language Models for Entity Alignment	Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang	N/A	N/A
SPZ: A Semantic Perturbation-based Data Augmentation Method with Zonal-Mixing for Alzheimer’s Disease Detection	FangFang Li, Cheng Huang, PuZhen Su, Jie Yin	N/A	N/A
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents	Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin	N/A	N/A
ReFT: Reasoning with Reinforced Fine-Tuning	Luong Quoc Trung, Xinbo Zhang, Zhanming Jie, peng sun, Xiaoran Jin, Hang Li	N/A	N/A
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment	yunxin li, Xinyu Chen, Baotian Hu, Haoyuan Shi, Min Zhang	N/A	N/A
FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation	Zijian Feng, Hanzhang Zhou, Kezhi Mao, Zixiao Zhu	N/A	N/A
HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition	Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang	N/A	N/A
Conundrums in Cross-Prompt Automated Essay Scoring: Making Sense of the State of the Art	Shengjie Li, Vincent Ng	N/A	N/A
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution	Flor Miriam Plaza-del-Arco, Amanda Cercas Curry, Alba Cercas Curry, Gavin Abercrombie, Dirk Hovy	N/A	N/A
Label Augmentation for Zero-Shot Hierarchical Text Classification	Lorenzo Paletto, Valerio Basile, Roberto Esposito	N/A	N/A
STICKERCONV: Generating Multimodal Empathetic Responses from Scratch	Yiqun Zhang, Fanheng Kong, Peidong Wang, Shuang Sun, SWangLing, Shi Feng, Daling Wang, Yifei Zhang, Kaisong Song	N/A	N/A
EIT: Enhanced Interactive Transformer	Tong Zheng, Bei Li, Huiwen Bao, Tong Xiao, JingBo Zhu	N/A	N/A
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs	Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr	N/A	N/A
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models	Rocktim Jyoti Das, Simeon Emilov Hristov, Haonan Li, Dimitar Iliyanov Dimitrov, Ivan Koychev, Preslav Nakov	N/A	N/A
Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition	Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing	N/A	N/A
Text Embedding Inversion Security for Multilingual Language Models	Yiyi Chen, Heather Lent, Johannes Bjerva	N/A	N/A
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment	Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou	N/A	N/A
Calibrating Large Language Models Using Their Generations Only	Dennis Thomas Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh	N/A	N/A
PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator	Chuyi Kong, Yaxin FAN, Xiang Wan, Feng Jiang, Benyou Wang	N/A	N/A
Synthesizing Text-to-SQL Data from Weak and Strong LLMs	Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou	N/A	N/A
Iterative Forward Tuning Boosts In-Context Learning in Language Models	Jiaxi Yang, Binyuan Hui, Min Yang, Bailin Wang, Bowen Li, Binhua Li, Fei Huang, Yongbin Li	N/A	N/A
STRUCTSUM Generation for Faster Text Comprehension	Parag Jain, Andreea Marzoca, Francesco Piccinno	N/A	N/A
Analysing The Impact of Sequence Composition on Language Model Pre-Training	Yu Zhao, Yuanbin Qu, Konrad Staniszewski, Szymon Tworkowski, Wei Liu, Piotr Miłoś, Yuxiang Wu, Pasquale Minervini	N/A	N/A
NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time	Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu	N/A	N/A
SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network	Kexin Wang, Jiahong Zhang, Yong Ren, Man Yao, Di Shang, Bo XU, Guoqi Li	N/A	N/A
Context-aware Difference Distilling for Multi-change Captioning	Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Chenggang Yan, Qingming Huang	N/A	N/A
Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion	Wei Cheng, Yuhan Wu, Wei Hu	N/A	N/A
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation	Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua	N/A	N/A
LLMEmbed: Rethinking Lightweight LLM’s Genuine Function in Text Classification	ChunLiu, Hongguang Zhang, Kainan Zhao, Xinghai Ju, Lin Yang	N/A	N/A
LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion	Yilong Chen, Junyuan Shang, Zhenyu Zhang, Shiyao Cui, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu	N/A	N/A
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation	Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang	N/A	N/A
To be Continuous, or to be Discrete, Those are Bits of Questions	Yiran Wang, Masao Utiyama	N/A	N/A
Moûsai: Efficient Text-to-Music Diffusion Models	Flavio Schneider, Ojasv Kamal, Zhijing Jin, Bernhard Schölkopf	N/A	N/A
PokeMQA: Programmable knowledge editing for Multi-hop Question Answering	Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang	N/A	N/A
MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention	Prince Jha, Raghav Jain, Konika Mandal, Aman Chadha, Sriparna Saha, Pushpak Bhattacharyya	N/A	N/A
Efficient OCR for Building a Diverse Digital History	Jacob Carlson, Tom Bryan, Melissa Dell	N/A	N/A
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space	Zongru Wu, Zhuosheng Zhang, Pengzhou Cheng, Gongshen Liu	N/A	N/A
ANAH: Analytical Annotation of Hallucinations in Large Language Models	Ziwei Ji, Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen	N/A	N/A
Aligning Large Language Models for Controllable Recommendations	Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie	N/A	N/A
Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods	Haeun Yu, Pepa Atanasova, Isabelle Augenstein	N/A	N/A
Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement	Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Yang Wang	N/A	N/A
Full Parameter Fine-tuning for Large Language Models with Limited Resources	Kai Lv, Yuqing Yang, Tengxiao Liu, Qipeng Guo, Xipeng Qiu	N/A	N/A
M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought	Qiguang Chen, Libo Qin, Jin Zhang, Zhi Chen, Xiao Xu, Wanxiang Che	N/A	N/A
Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models	Longze Chen, Ziqiang Liu, Wanwei He, Yinhe Zheng, Hao Sun, Yunshui Li, Run Luo, Min Yang	N/A	N/A
Label-Synchronous Neural Transducer for E2E Simultaneous Speech Translation	Keqi Deng, Phil Woodland	N/A	N/A
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL	Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim	N/A	N/A
A Modular Approach for Multimodal Summarization of TV Shows	Louis Mahon, Mirella Lapata	N/A	N/A
Think Twice: Perspective-Taking Improves Large Language Models’ Theory-of-Mind Capabilities	Alex Wilf, Sihyun Shawn Lee, Paul Pu Liang, Louis-Philippe Morency	N/A	N/A
BizBench: A Quantitative Reasoning Benchmark for Business and Finance	Michael Krumdick, Rik Koncel-Kedziorski, Viet Dac Lai, Varshini Reddy, Charles Lovering, Chris Tanner	N/A	N/A
Direct Metric Optimization for Image Captioning through Reward-Weighted Augmented Data Utilization	Takumi Takada, Yuma Suzuki, Hiroki Takushima, Hayato Tanoue, Haruki Sato, Aiswariya Manoj Kumar, Hiroki Nishihara, Takayuki Hori, Kazuya Ueki	N/A	N/A
Deciphering Hate: Identifying Hateful Memes and Their Targets	Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Sarah Masud Preum	N/A	N/A
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings	Yichen Jiang, Xiang Zhou, Mohit Bansal	N/A	N/A
Label-Efficient Model Selection for Text Generation	Shir Ashury Tahan, Ariel Gera, Benjamin Sznajder, Leshem Choshen, Liat Ein-Dor, Eyal Shnarch	N/A	N/A
Machine Unlearning of Pre-trained Large Language Models	Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue	N/A	N/A
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals	Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf	N/A	N/A
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence	Sebastian Antony Joseph, Lily Chen, Jan Trienes, Hannah Louisa Göke, Monika Coers, Wei Xu, Byron C Wallace, Junyi Jessy Li	N/A	N/A
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction	Yinhao Bai, Yalan Xie, Xiaoyi Liu, Yuhua Zhao, Zhixin Han, Mengting Hu, Hang Gao, Renhong Cheng	N/A	N/A
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack	Yu Fu, Yufei Li, Wen Xiao, Cong Liu, Yue Dong	N/A	N/A
Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn’t	Chihiro Taguchi, David Chiang	N/A	N/A
Speech language models lack important brain-relevant semantics	SUBBA REDDY OOTA, Emin Çelik, Fatma Deniz, Mariya Toneva	N/A	N/A
DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding	Dongsheng Wang, Natraj Raman, Mathieu Sibue, Zhiqiang Ma, Petr Babkin, Simerjot Kaur, Yulong Pei, Armineh Nourbakhsh, Xiaomo Liu	N/A	N/A
Bypassing LLM Watermarks with Color-Aware Substitutions	Qilong Wu, Varun Chandrasekaran	N/A	N/A
Parallel Structures in Pre-training Data Yield In-Context Learning	Yanda Chen, Chen Zhao, Zhou Yu, Kathleen McKeown, He He	N/A	N/A
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models	Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He	N/A	N/A
Towards Privacy-Aware Sign Language Translation at Scale	Phillip Rust, Bowen Shi, Skyler Wang, Necati Cihan Camgoz, Jean Maillard	N/A	N/A
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards	Haoxiang Wang, Yong Lin, Wei Xiong, Rui Yang, Shizhe Diao, Shuang Qiu, Han Zhao, Tong Zhang	N/A	N/A
Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters	Yinghui Li, Zishan Xu, Shaoshen Chen, Haojing Huang, Yangning Li, Shirong Ma, Yong Jiang, Zhongli Li, Qingyu Zhou, Hai-Tao Zheng, Ying Shen	N/A	N/A
Steering Llama 2 via Contrastive Activation Addition	Nina Rimsky, Nick Gabrieli, Julian Schulz, Meg Tong, Evan J Hubinger, Alexander Matt Turner	N/A	N/A
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations	Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger	N/A	N/A
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling	Zekun Li, Zhiyu Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Luna Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook	N/A	N/A
Faithful Chart Summarization with ChaTS-Pi	Syrine Krichene, Francesco Piccinno, Fangyu Liu, Julian Martin Eisenschlos	N/A	N/A
Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation	Cheng Niu, Xingguang Wang, Xuxin Cheng, Juntong Song, Tong Zhang	N/A	N/A
MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking	Ting-Chih Chen, Chia-Wei Tang, Chris Thomas	N/A	N/A
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction	Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, lixiang, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng	N/A	N/A
ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis	Yanming Liu, Xinyue Peng, Tianyu Du, Jianwei Yin, Weihao Liu, Xuhong Zhang	N/A	N/A
EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities	Nian Li, Chen Gao, Mingyu Li, Yong Li, Qingmin Liao	N/A	N/A
On the Multi-turn Instruction Following for Conversational Web Agents	Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua	N/A	N/A
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents	Shihan Deng, Weikai Xu, Hongda Sun, Wei Liu, Tao Tan, Liujianfeng, Ang Li, Jian Luan, Bin Wang, Rui Yan, Shuo Shang	N/A	N/A
MC$^2$: Towards Transparent and Culturally-Aware NLP for Minority Languages in China	Chen Zhang, Mingxu Tao, Quzhe Huang, Jiuheng Lin, Zhibin Chen, Yansong Feng	N/A	N/A
Decoder-only Streaming Transformer for Simultaneous Translation	Shoutao Guo, Shaolei Zhang, Yang Feng	N/A	N/A
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization	Zhexin Zhang, Junxiao Yang, Pei Ke, Fei Mi, Hongning Wang, Minlie Huang	N/A	N/A
I am a Strange Dataset: Metalinguistic Tests for Language Models	Tristan Thrush, Jared Moore, Miguel Monares, Christopher Potts, Douwe Kiela	N/A	N/A
SafetyBench: Evaluating the Safety of Large Language Models	Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang	N/A	N/A
Deciphering Oracle Bone Language with Diffusion Models	Haisu Guan, Huanxin Yang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu	N/A	N/A
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space	Shaolei Zhang, Tian Yu, Yang Feng	N/A	N/A
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training	Le Zhuo, Zewen Chi, Minghao Xu, Heyan Huang, Jianan Zhao, Heqi Zheng, Conghui He, Xian-Ling Mao, Wentao Zhang	N/A	N/A
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning	Shaolei Zhang, Qingkai Fang, Shoutao Guo, Zhengrui Ma, Min zhang, Yang Feng	N/A	N/A
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models	Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu	N/A	N/A
Why Don’t Prompt-Based Fairness Metrics Correlate?	Abdelrahman Zayed, Goncalo Mordido, Ioana Baldini, Sarath Chandar	N/A	N/A
NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using Representative Data	Manuel Tonneau, Pedro Vitor Quinta de Castro, Karim Lasri, Ibrahim Sambo Farouq, Lakshmi Subramanian, Victor Orozco-Olvera, Samuel Fraiberger	N/A	N/A
M$^3$AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset	Zhe Chen, Heyang Liu, Wenyi Yu, Guangzhi Sun, Hongcheng Liu, Ji Wu, Chao Zhang, Yu Wang, Yanfeng Wang	N/A	N/A
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination	Nakyeong Yang, Taegwan Kang, Stanley Jungkyu Choi, Honglak Lee, Kyomin Jung	N/A	N/A
Domain Adaptation for Subjective Induction Questions Answering on Products by Adversarial Disentangled Learning	Yufeng Zhang, Jianxing Yu, Yanghui Rao, Libin Zheng, Qinliang Su, Huaijie Zhu, Jian Yin	N/A	N/A
Revisiting Demonstration Selection Strategies in In-Context Learning	Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao	N/A	N/A
Multimodal Table Understanding	Mingyu Zheng, Xinwei Feng, Qingyi Si, Qiaoqiao She, Zheng Lin, Wenbin Jiang, Weiping Wang	N/A	N/A
Ex\textsuperscript{3}: Automatic Novel Writing by Extracting, Excelsior and Expanding	Huang Lei, Jiaming Guo, Guanhua He, Xishan Zhang, Rui Zhang, Shaohui Peng, Shaoli Liu, Tianshi Chen	N/A	N/A
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning	Mayur Patidar, Riya Sawhney, Avinash Kumar Singh, Biswajit Chatterjee, Mausam ., Indrajit Bhattacharya	N/A	N/A
WatME: Towards Lossless Watermarking Through Lexical Redundancy	Liang CHEN, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong	N/A	N/A
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation	Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He	N/A	N/A
MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception	Yuhao Wang, Yusheng Liao, Heyang Liu, Hongcheng Liu, Yanfeng Wang, Yu Wang	N/A	N/A
Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning	Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao	N/A	N/A
Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation	Yi Liu, Xiangyu Liu, Xiangrong Zhu, Wei Hu	N/A	N/A
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models	Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Yuxin Jiang, Lifeng Shang, Qun Liu, Kam-Fai Wong	N/A	N/A
Reward-based Input Construction for Cross-document Relation Extraction	Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-chul Moon	N/A	N/A
Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction	Guangjun Zhang, Hu zhang, YuJie Wang, Ru Li, Hongye Tan, Jiye Liang	N/A	N/A
Understanding Retrieval Robustness for Retrieval-augmented Image Captioning	Wenyan Li, Jiaang Li, Rita Ramos, Raphael Tang, Desmond Elliott	N/A	N/A
Semi-Supervised Spoken Language Glossification	Huijie Yao, Wengang Zhou, Hao Zhou, Houqiang Li	N/A	N/A
SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents	Kanzhi Cheng, Qiushi Sun, Yougang Chu, Fangzhi Xu, Li YanTao, Jianbing Zhang, Zhiyong Wu	N/A	N/A
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers	Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein	N/A	N/A
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods	Yu Sun, keyuchen, Shujie Wang, Peiji Li, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin	N/A	N/A
Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning	Philipp Mondorf, Barbara Plank	N/A	N/A
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback	Maria Emilia Agis Lerner, Florian E. Dorner, Elliott Ash, Naman Goel	N/A	N/A
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations	Peiyi Wang, Lei Li, Zhihong Shao, Runxin Xu, Damai Dai, Yifei Li, Deli Chen, Yu Wu, Zhifang Sui	N/A	N/A
Large Language Models are not Fair Evaluators	Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui	N/A	N/A
Improving Large Language Models in Event Relation Logical Prediction	Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li	N/A	N/A
Synchronized Video Storytelling: Generating Video Narrations with Structured Storyline	Dingyi Yang, Chunru Zhan, Ziheng Wang, Biao Wang, Tiezheng Ge, Bo Zheng, Qin Jin	N/A	N/A
Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation	Wenting Chen, Linlin Shen, Jingyang Lin, Jiebo Luo, Xiang Li, Yixuan Yuan	N/A	N/A
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step	Zehui Chen, Weihua Du, Wenwei Zhang, Kuikun Liu, Jiangning Liu, Miao Zheng, Jingming Zhuo, Songyang Zhang, Dahua Lin, Kai Chen, Feng Zhao	N/A	N/A
Are LLM-based Evaluators Confusing NLG Quality Criteria?	Xinyu Hu, Mingqi Gao, Sen Hu, Yang Zhang, Yicheng Chen, TENG XU, Xiaojun Wan	N/A	N/A
Synergistic Interplay between Search and Large Language Models for Information Retrieval	Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang	N/A	N/A
Linear Transformers with Learnable Kernel Functions are Better In-Context Models	Yaroslav Aksenov, Nikita Balagansky, Sofia Maria Lo Cicero Vaina, Boris Shaposhnikov, Alexey Gorbatovski, Daniil Gavrilov	N/A	N/A
Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the “right reasons”?	Tong Liu, Iza Škrjanec, Vera Demberg	N/A	N/A
Beyond Recognising Entailment: Formalising Natural Language Inference from an Argumentative Perspective	Ameer Saadat-Yazdi, Nadin Kökciyan	N/A	N/A
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization	Jaavid Aktar Husain J, Raj Dabre, Aswanth Kumar M, Jay Gala, Thanmay Jayakumar, Ratish Puduppully, Anoop Kunchukuttan	N/A	N/A
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling	Jun Zhan, Junqi Dai, Jiasheng Ye, Yunhua Zhou, Dong Zhang, Zhigeng Liu, Xin Zhang, Ruibin Yuan, Ge Zhang, Linyang Li, Hang Yan, Jie Fu, Tao Gui, Tianxiang Sun, Yu-Gang Jiang, Xipeng Qiu	N/A	N/A
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models	Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen	N/A	N/A
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation	Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen	N/A	N/A
Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines	Michael Toker, Hadas Orgad, Mor Ventura, Dana Arad, Yonatan Belinkov	N/A	N/A
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models	Yuchong Sun, Che Liu, Kun Zhou, Jinwen Huang, Ruihua Song, Xin Zhao, Fuzheng Zhang, Di ZHANG, Kun Gai	N/A	N/A
Robust Singing Voice Transcription Serves Synthesis	Ruiqi Li, Yu Zhang, Yongqi Wang, Zhiqing Hong, Rongjie Huang, Zhou Zhao	N/A	N/A
VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model	Tianyu Chen, Lin Li, ZhuLiuchuan, Zongyang Li, Xueqing Liu, Guangtai Liang, Qianxiang Wang, Tao Xie	N/A	N/A
Self-Modifying State Modeling for Simultaneous Machine Translation	Donglei Yu, Xiaomian Kang, Yuchen Liu, Yu Zhou, Chengqing Zong	N/A	N/A
MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation	Jiaqi Chen, Bingqian Lin, Ran Xu, Zhenhua Chai, Xiaodan Liang, Kwan-Yee K. Wong	N/A	N/A
BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents	Yifei Wang, Dizhan Xue, Shengjie Zhang, Shengsheng Qian	N/A	N/A
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy	Hongda Sun, Weikai Xu, Wei Liu, Jian Luan, Bin Wang, Shuo Shang, Ji-Rong Wen, Rui Yan	N/A	N/A
LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent	Robert Mahari, Dominik Stammbach, Elliott Ash, Alex Pentland	N/A	N/A
To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering	Giacomo Frisoni, Alessio Cocchieri, Alex Presepi, Gianluca Moro, Zaiqiao Meng	N/A	N/A
MERA: A Comprehensive LLM Evaluation in Russian	Alena Fenogenova, Artem Chervyakov, Nikita Martynov, Anastasia Kozlova, Maria Tikhonova, Albina Akhmetgareeva, Anton Emelyanov, Denis Shevelev, Pavel Lebedev, Leonid S Sinev, Ulyana Isaeva, Katerina Kolomeytseva, Daniil Moskovskiy, Elizaveta Goncharova, Nikita Savushkin, Polina Mikhailova, Anastasia Minaeva, Denis Dimitrov, Alexander Panchenko, Sergey Markov	N/A	N/A
SC2: Towards Enhancing Content Preservation and Style Consistency in Long Text Style Transfer	Jie Zhao, Ziyu Guan, Cai Xu, Wei Zhao, Yue Jiang	N/A	N/A
Causal Estimation of Memorisation Profiles	Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel	N/A	N/A
CHECKWHY: Causal Fact Verification via Argument Structure	Jiasheng Si, Yibo Zhao, Yingjie Zhu, Haiyang Zhu, Wenpeng Lu, Deyu Zhou	N/A	N/A
Dodo: Dynamic Contextual Compression for Decoder-only LMs	Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme	N/A	N/A
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation	Shilong Pan, Zhiliang Tian, Liang Ding, Haoqi Zheng, Zhen Huang, Zhihua Wen, Dongsheng Li	N/A	N/A
NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism	Miao Li, Ming-Bin Chen, Bo Tang, ShengbinHou, Pengyu Wang, Haiying Deng, Zhiyu li, Feiyu Xiong, Keming Mao, Cheng Peng, Yi Luo	N/A	N/A
MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference Optimization	Shuaijie She, Wei Zou, Shujian Huang, Wenhao Zhu, Xiang Liu, Xiang Geng, Jiajun Chen	N/A	N/A
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training	Feiteng Fang, yuelin bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu	N/A	N/A
Predicting Text Preference Via Structured Comparative Reasoning	Jing Nathan Yan, Tianqi Liu, Justin T Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M Rush, Jialu Liu, Michael Bendersky	N/A	N/A
CoELM: Construction-Enhanced Language Modeling	Lvxiaowei Xu, Zhilin Gong, Jianhua Dai, Tianxiang Wang, Ming Cai, Jiawei Peng	N/A	N/A
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model	Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Xavier Garcia, Daniel Cremers	N/A	N/A
Uni-Dubbing: Zero-Shot Speech Synthesis from Visual Articulation	Songju Lei, Xize Cheng, Mengjiao Lyu, Jianqiao Hu, Jintao Tan, Runlin Liu, Lingyu Xiong, Tao Jin, Xiandong Li, Zhou Zhao	N/A	N/A
On the Impact of Calibration Data in Post-training Quantization and Pruning	Miles Williams, Nikolaos Aletras	N/A	N/A
SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution	Prerna Agarwal, Nishant Kumar, Srikanta J. Bedathur	N/A	N/A
Meta-Task Prompting Elicits Embeddings from Large Language Models	Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates	N/A	N/A
A Sentiment Consolidation Framework for Meta-Review Generation	Miao Li, Jey Han Lau, Eduard Hovy	N/A	N/A
Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing	Chengjie Zhou, Bobo Li, Hao Fei, Fei Li, Chong Teng, Donghong Ji	N/A	N/A
OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification	Yifan Peng, Yui Sudo, Muhammad Shakeel, Shinji Watanabe	N/A	N/A
Do Large Language Models Latently Perform Multi-Hop Reasoning?	Sohee Yang, Elena Gribovskaya, Nora Kassner, Mor Geva, Sebastian Riedel	N/A	N/A
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning	Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou	N/A	N/A
Harnessing Toulmin’s theory for zero-shot argument explication	Ankita Gupta, Ethan Zuckerman, Brendan O’Connor	N/A	N/A
BinaryAlign: Word Alignment as Binary Sequence Labeling	Gaetan Lopez Latouche, Marc-André Carbonneau, Benjamin Swanson	N/A	N/A
Quantifying the Persona Effect in LLM Simulations	Tiancheng Hu, Nigel Collier	N/A	N/A
On Efficient and Statistical Quality Estimation for Data Annotation	Jan-Christoph Klie, Juan Haladjian, Marc Kirchner, Rahul Nair	N/A	N/A
EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection	Chenye Zhao, Cornelia Caragea	N/A	N/A
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?	Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger	N/A	N/A
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments	Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang	N/A	N/A
SyllabusQA: A Course Logistics Question Answering Dataset	Nigel Fernandez, Alexander Scarlatos, Andrew Lan	N/A	N/A
American Sign Language Handshapes Reflect Pressures for Communicative Efficiency	Kayo Yin, Terry Regier, Dan Klein	N/A	N/A
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models	Yilin Wen, Zifeng Wang, Jimeng Sun	N/A	N/A
AGB-DE: A Corpus for the Automated Legal Assessment of Clauses in German Consumer Contracts	Daniel Braun, Florian Matthes	N/A	N/A
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks	Charlotte Siska, Katerina Marazopoulou, Melissa Ailem, James Bono	N/A	N/A
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning	Eric Pasewark, Kyle Montgomery, Kefei Duan, Dawn Song, Chenguang Wang	N/A	N/A
Bridging the Preference Gap between Retrievers and LLMs	Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky	N/A	N/A
Large Language Models Can Learn Temporal Reasoning	Siheng Xiong, Ali Payani, Ramana Rao Kompella, Faramarz Fekri	N/A	N/A
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research	Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Evan Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo	N/A	N/A
Learning Relational Decomposition of Queries for Question Answering from Tables	Raphaël Mouravieff, Benjamin Piwowarski, sylvain lamprier	N/A	N/A
Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People	Dun-Ming Huang, Pol Van Rijn, Ilia Sucholutsky, Raja Marjieh, Nori Jacoby	N/A	N/A
Pareto Optimal Learning for Estimating Large Language Model Errors	Theodore Zhao, Mu Wei, J. Samuel Preston, Hoifung Poon	N/A	N/A
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models	Victor Agostinelli III, Max Wild, Matthew Raffel, Kazi Ahmed Asif Fuad, Lizhong Chen	N/A	N/A
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM	Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen	N/A	N/A
Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models	Guanming Xiong, Junwei Bao, Wen Zhao	N/A	N/A
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error	Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su	N/A	N/A
HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts	Hao Zhao, Zihan Qiu, Huijia Wu, Zili Wang, Zhaofeng He, Jie Fu	N/A	N/A
Aligning Large Language Models with Human Preferences through Representation Engineering	Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Zhu JianHao, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang	N/A	N/A
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models	Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu	N/A	N/A
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation	Chen Huang, Yiping Jin, Ilija Ilievski, Wenqiang Lei, Jiancheng Lv	N/A	N/A
PolCLIP: A Unified Image-Text Word Sense Disambiguation Model via Generating Multimodal Complementary Representations	Qihao Yang, Yong Li, Xuelin Wang, Fu Lee Wang, Tianyong Hao	N/A	N/A
Prompted Aspect Key Point Analysis for Quantitative Review Summarization	An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria	N/A	N/A
Ask Again, Then Fail: Large Language Models’ Vacillations in Judgment	Qiming Xie, Zengzhi Wang, Yi Feng, Rui Xia	N/A	N/A
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models	Tong Zhang, Peixin Qin, Yang Deng, Chen Huang, Wenqiang Lei, Junhong Liu, Dingnan Jin, Hongru Liang, Tat-Seng Chua	N/A	N/A
Multimodal Reasoning with Multimodal Knowledge Graph	Junlin Lee, Yequan Wang, Jing Li, Min Zhang	N/A	N/A
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting	Rikui Huang, Wei Wei, Xiaoye Qu, Shengzhe Zhang, Dangyang Chen, Yu Cheng	N/A	N/A
CARE: A Clue-guided Assistant for CSRs to Read User Manuals	Weihong Du, Jia Liu, zujie wen, Dingnan Jin, Hongru Liang, Wenqiang Lei	N/A	N/A
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes	Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che	N/A	N/A
PAGED: A Benchmark for Procedural Graphs Extraction from Documents	Weihong Du, Wenrui Liao, Hongru Liang, Wenqiang Lei	N/A	N/A
Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors	Ying Zhou, Ben He, Le Sun	N/A	N/A
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models	Cheng Niu, Yuanhao Wu, Juno Zhu, Siliang Xu, KaShun SHUM, Randy Zhong, Juntong Song, Tong Zhang	N/A	N/A
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models	Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen	N/A	N/A
Revisiting Knowledge Distillation for Autoregressive Language Models	Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao	N/A	N/A
OLMo: Accelerating the Science of Language Models	Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, William H. Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi	N/A	N/A
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation	Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou	N/A	N/A
Make-A-Voice: Revisiting Voice Large Language Models as Scalable Multilingual and Multitask Learners	Rongjie Huang, Chunlei Zhang, Yongqi Wang, Dongchao Yang, Jinchuan Tian, Zhenhui Ye, Luping Liu, Zehan Wang, Ziyue Jiang, Xuankai Chang, Jiatong Shi, CHAO WENG, Zhou Zhao, Dong Yu	N/A	N/A
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages	Shih-Cheng Huang, Pin-Zu Li, YU-CHI HSU, Kuang-Ming Chen, Yu Tung Lin, Shih-Kai Hsiao, Richard Tzong-Han Tsai, Hung-yi Lee	N/A	N/A
Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!	Zhanhui Zhou, Jie Liu, Zhichen Dong, Jiaheng Liu, Chao Yang, Wanli Ouyang, Yu Qiao	N/A	N/A
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails	Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash	N/A	N/A
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance	Bo Yuan, Yulin Chen, Yin Zhang, Wei Jiang	N/A	N/A
CLOMO: Counterfactual Logical Modification with Large Language Models	Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng YANG, Dong Yu, Changshui Zhang, Xiaodan Liang, Linqi Song	N/A	N/A
Exploring Hybrid Question Answering via Program-based Prompting	Qi Shi, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che, Ting Liu	N/A	N/A
IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages	Harman Singh, Nitish Gupta, Shikhar Bharadwaj, Dinesh Tewari, Partha Talukdar	N/A	N/A
Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion	Rui Ying, Mengting Hu, Jianfeng Wu, Yalan Xie, Xiaoyi Liu, Zhunheng Wang, Ming Jiang, Hang Gao, Linlin Zhang, Renhong Cheng	N/A	N/A
Uncertainty Aware Learning for Language Model Alignment	Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao	N/A	N/A
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models	Ying-Chun Lin, Jennifer Neville, Jack W Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, saurabh tiwary, Brent Hecht, Jaime Teevan	N/A	N/A
Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey	Jiawei Li, Yizhe Yang, Yu Bai, Xiaofeng Zhou, Yinghao Li, Huashan Sun, Yuhang Liu, Xingpeng Si, Yuhao Ye, Yixiao Wu, 林一冠, Bin Xu, Ren bowen, Chong Feng, Yang Gao, Heyan Huang	N/A	N/A
IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages	Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, Umashankar Kumaravelan, Sumanth Doddapaneni, Suriyaprasaad B, Varun Balan G, Sparsh Jain, Anoop Kunchukuttan, Pratyush Kumar, Raj Dabre, Mitesh M Khapra	N/A	N/A
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said	Yejin Bang, Delong Chen, Nayeon Lee, Pascale Fung	N/A	N/A
Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use	Yuhan Chen, Ang Lv, Ting-En Lin, Changyu Chen, Yuchuan Wu, Fei Huang, Yongbin Li, Rui Yan	N/A	N/A
Layer-Condensed KV Cache for Efficient Inference of Large Language Models	Haoyi Wu, Kewei Tu	N/A	N/A
Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models	Xiaolong Wang, Yile Wang, Yuanchi Zhang, Fuwen Luo, Peng Li, Maosong Sun, Yang Liu	N/A	N/A
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages	Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang, Peng Li, Maosong Sun, Yang Liu	N/A	N/A
Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations	Jiaxing Sun, weiquan Huang, Jiang Wu, Chenya Gu, Wei Li, Songyang Zhang, Hang Yan, Conghui He	N/A	N/A
Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion	Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu	N/A	N/A
Model Composition for Multimodal Large Language Models	Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu	N/A	N/A
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding	Jun Zhang, Jue WANG, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra	N/A	N/A
Soul-Mix: Enhancing Multimodal Machine Translation with Manifold Mixup	Xuxin Cheng, Ziyu Yao, Yifei Xin, Hao An, Hongxiang Li, Yaowei Li, Yuexian Zou	N/A	N/A
Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models	Changjiang Gao, Jixing Li, Jiajun Chen, Shujian Huang	N/A	N/A
MIST: Mutual Information Maximization for Short Text Clustering	Krissanee Kamthawee, Can Udomcharoenchaikit, Sarana Nutanong	N/A	N/A
Self-chats from Large Language Models Make Small Emotional Support Chatbot Better	Zhonghua Zheng, Lizi Liao, Yang Deng, Libo Qin, Liqiang Nie	N/A	N/A
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment	Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi	N/A	N/A
Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs	Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut	N/A	N/A
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing	Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang	N/A	N/A
Learning to Plan and Generate Text with Citations	Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata	N/A	N/A
Exploring Precision and Recall to assess the quality and diversity of LLMs	Florian Le Bronnec, Alexandre Verine, benjamin negrevergne, Yann Chevaleyre, Alexandre Allauzen	N/A	N/A
Aligning Large Language Models by On-Policy Self-Judgment	Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo, Youngjae Yu	N/A	N/A
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning	Abhinav Joshi, Shounak Paul, Akshat Sharma, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi	N/A	N/A
JumpCoder: Go Beyond Autoregressive Coder via Online Modification	Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun	N/A	N/A
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning	Shivalika Singh, Freddie Vargus, Daniel D’souza, Börje F. Karlsson, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura O’Mahony, Mike Zhang, Ramith Hettiarachchi, Joseph Wilson, Marina Machado, Luisa Souza Moura, Dominik Krzemiński, Hakimeh Fadaei, Irem Ergun, Ifeoma Okoh, Aisha Alaagib, Oshan Ivantha Mudannayake, Zaid Alyafeai, Vu Minh Chien, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker	N/A	N/A
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks	Anwoy Chatterjee, Eshaan Tanwar, Subhabrata Dutta, Tanmoy Chakraborty	N/A	N/A
Split and Rephrase with Large Language Models	Antonio David Ponce Martínez, Thierry Etchegoyhen, Jesus Javier Calleja Perez, Harritxu Gete	N/A	N/A
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition	Lu Ye, Ze Tao, Yong Huang, Yang Li	N/A	N/A
AlignBench: Benchmarking Chinese Alignment of Large Language Models	Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang	N/A	N/A
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models	Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che	N/A	N/A
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution	Yulong Mao, Kaiyu Huang, Changhao Guan, Ganglin Bao, Fengran Mo, Jinan Xu	N/A	N/A
Cross-Lingual Knowledge Editing in Large Language Models	Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan Cao, Jiarong Xu, Fandong Meng	N/A	N/A
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model	Ahmet Üstün, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D’souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker	N/A	N/A
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques	Anar Yeginbergen, Maite Oronoz, Rodrigo Agerri	N/A	N/A
Learning Task Decomposition to Assist Humans in Competitive Programming	Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang	N/A	N/A
An Entropy-based Text Watermarking Detection Method	Yijian LU, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King	N/A	N/A
Enhancing Explainable Rating Prediction through Annotated Macro Concepts	Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang	N/A	N/A
How to Engage your Readers? Generating Guiding Questions to Promote Active Reading	Peng Cui, Vilém Zouhar, Xiaoyu Zhang, Mrinmaya Sachan	N/A	N/A
Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective	Zihao Yue, Liang Zhang, Qin Jin	N/A	N/A
Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation	Xinglin Wang, Yiwei Li, Shaoxiong Feng, Peiwen Yuan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li	N/A	N/A
More frequent verbs are associated with more diverse valency frames: Efficient principles at the lexicon-grammar interface	Siyu Tao, Lucia Donatelli, Michael Hahn	N/A	N/A
BatchEval: Towards Human-like Text Evaluation	Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Boyuan Pan, Heda Wang, Yao Hu, Kan Li	N/A	N/A
Quantifying Generalizations: Exploring the Divide Between Human and LLMs’ Sensitivity to Quantification	Claudia Collacciani, Giulia Rambelli, Marianna Bolognesi	N/A	N/A
Can Large Language Models Interpret Noun-Noun Compounds? A Linguistically-Motivated Study on Lexicalized and Novel Compounds	Giulia Rambelli, Emmanuele Chersoni, Claudia Collacciani, Marianna Bolognesi	N/A	N/A
CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation	Quan Tu, Shilong Fan, Zihang Tian, Tianhao Shen, Shuo Shang, Xin Gao, Rui Yan	N/A	N/A
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond	Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua	N/A	N/A
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction	Yice Zhang, Jie Zeng, Weiming Hu, Ziyi Wang, Shiwei Chen, Ruifeng Xu	N/A	N/A
ToMBench: Benchmarking Theory of Mind in Large Language Models	Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, Bosi Wen, Guanqun Bi, Gongyao Jiang, Yaru Cao, Mengting Hu, Yunghwei Lai, Zexuan Xiong, Minlie Huang	N/A	N/A
Learning to Generate Answers with Citations via Factual Consistency Models	Rami Aly, Zhiqiang Tang, Samson Tan, George Karypis	N/A	N/A
Improving Text Embeddings with Large Language Models	Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei	N/A	N/A
Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning	Tianduo Wang, Shichen Li, Wei Lu	N/A	N/A
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset	Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Liner Yang, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun	N/A	N/A
Document-level Claim Extraction and Decontextualisation for Fact-Checking	Zhenyun Deng, Michael Sejr Schlichtkrull, Andreas Vlachos	N/A	N/A
PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning	Xiaoqi Qiu, Yongjie Wang, Xu Guo, Zhiwei Zeng, Yu Yue, Yuhong Feng, Chunyan Miao	N/A	N/A
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction	Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao	N/A	N/A
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models	Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin	N/A	N/A
COKE: A Cognitive Knowledge Graph for Machine Theory of Mind	Jincenzi Wu, Zhuang Chen, Jiawen Deng, Sahand Sabour, Helen M. Meng, Minlie Huang	N/A	N/A
mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models	Huiyuan Lai, Malvina Nissim	N/A	N/A
GunStance: Stance Detection for Gun Control and Gun Regulation	Nikesh Gyawali, Iustin Sirbu, Tiberiu Sosea, Sarthak Khanal, Doina Caragea, Traian Rebedea, Cornelia Caragea	N/A	N/A
Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation	Zdeněk Kasner, Ondrej Dusek	N/A	N/A
Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection	Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu	N/A	N/A
Don’t Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation	Giorgos Vernikos, Andrei Popescu-Belis	N/A	N/A
Generating and Evaluating Plausible Explanations for Knowledge Graph Completion	Antonio Di Mauro, Zhao Xu, Wiem Ben Rim, Timo Sztyler, Carolin Lawrence	N/A	N/A
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation	Tejpalsingh Siledar, Swaroop Nath, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Swaprava Nath, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera	N/A	N/A
MultiPICo: Multilingual Perspectivist Irony Corpus	Silvia Casola, Simona Frenda, Soda Marem Lo, Erhan Sezerer, Antonio Uva, Valerio Basile, Cristina Bosco, Alessandro Pedrani, Chiara Rubagotti, Viviana Patti, Davide Bernardi	N/A	N/A
LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation	shaolin Zhu, Leiyu Pan, Bo Li, Deyi Xiong	N/A	N/A
A Joint Coreference-Aware Approach to Document-Level Target Sentiment Analysis	Hongjie Cai, Heqing Ma, Jianfei Yu, Rui Xia	N/A	N/A
VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models	Qingxing Cao, Junhao Cheng, Xiaodan Liang, Liang Lin	N/A	N/A
AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints	Yu-Zhe Shi, Haofei Hou, Zhangqian Bi, Fanxu Meng, Xiang Wei, Lecheng Ruan, Qining Wang	N/A	N/A
Multipath parsing in the brain	Berta Franzluebbers, Donald Dunagan, Miloš Stanojević, Jan Buys, John T. Hale	N/A	N/A
Search-Adaptor: Embedding Customization for Information Retrieval	Jinsung Yoon, Yanfei Chen, Sercan O Arik, Tomas Pfister	N/A	N/A
Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs	Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker	N/A	N/A
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation	Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen	N/A	N/A
Tree Transformer’s Disambiguation Ability of Prepositional Phrase Attachment and Garden Path Effects	Lingling Zhou, Suzan Verberne, Gijs Wijnholds	N/A	N/A
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs	Elan Sopher Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan	N/A	N/A
Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing	Freda Shi, Kevin Gimpel, Karen Livescu	N/A	N/A
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation	Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev	N/A	N/A
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents	Harsh Trivedi, Tushar Khot, Mareike Hartmann, Ruskin Manku, Vinty Dong, Edward Li, Shashank Gupta, Ashish Sabharwal, Niranjan Balasubramanian	N/A	N/A
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking	Xiaokang Zhang, Zijun Yao, Jing Zhang, Kaifeng Yun, Jifan Yu, Juanzi Li, Jie Tang	N/A	N/A
What Do Language Models Learn in Context? The Structured Task Hypothesis.	Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell	N/A	N/A
Agent Lumos: Unified and Modular Training for Open-Source Language Agents	Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin	N/A	N/A
Investigating Cultural Alignment of Large Language Models	Badr AlKhamissi, Muhammad ElNokrashy, Mai Alkhamissi, Mona T. Diab	N/A	N/A
More Victories, Less Cooperation: Assessing Cicero’s Diplomacy Play	Wichayaporn Wongkamjan, Feng Gu, Yanze Wang, Ulf Hermjakob, Jonathan May, Brandon M. Stewart, Jonathan K. Kummerfeld, Denis Peskoff, Jordan Lee Boyd-Graber	N/A	N/A
VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild	Puyuan Peng, Po-Yao Huang, Shang-Wen Li, Abdelrahman Mohamed, David Harwath	N/A	N/A
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors	Liam Dugan, Alyssa Hwang, Filip Trhlík, Andrew Zhu, Josh magnus Ludan, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch	N/A	N/A
Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles	Julia Kruk, Michela Marchini, Rijul Magu, Caleb Ziems, David Muchlinski, Diyi Yang	N/A	N/A
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning	Franz Nowak, Anej Svete, Alexandra Butoi, Ryan Cotterell	N/A	N/A
Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends	Sanjana Ramprasad, Elisa Ferracane, Zachary Chase Lipton	N/A	N/A
MMToM-QA: Multimodal Theory of Mind Question Answering	Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu	N/A	N/A
LLM in a flash: Efficient Large Language Model Inference with Limited Memory	Keivan Alizadeh, Seyed Iman Mirzadeh, Dmitry Belenko, S. Karen Khatamifard, Minsik Cho, Carlo C del Mundo, Mohammad Rastegari, Mehrdad Farajtabar	N/A	N/A
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models	Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Fahad Shahbaz Khan	N/A	N/A
To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation	Abdul Waheed, Karima Kadaoui, Muhammad Abdul-Mageed	N/A	N/A
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents	Yilun Zhao, Yitao Long, Hongjun Liu, Ryo Kamoi, Linyong Nan, Lyuhao Chen, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan	N/A	N/A
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding	Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A Aly, Beidi Chen, Carole-Jean Wu	N/A	N/A
Unintended Impacts of LLM Alignment on Global Representation	Michael J Ryan, William Barr Held, Diyi Yang	N/A	N/A
Classist Tools: Social Class Correlates with Performance in NLP	Amanda Cercas Curry, Giuseppe Attanasio, Zeerak Talat, Dirk Hovy	N/A	N/A
ActionIE: Action Extraction from Scientific Literature with Programming Languages	Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han	N/A	N/A
A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech	Gaurav Verma, Rynaa Grover, Jiawei Zhou, Binny Mathew, Jordan Kraemer, Munmun De Choudhury, Srijan Kumar	N/A	N/A
Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs	Zhiwei Cao, Qian Cao, Yu Lu, Ningxin Peng, Luyang Huang, Shanbo Cheng, Jinsong Su	N/A	N/A
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation	Maxime DARRIN, Philippe Formont, Jackie CK Cheung, Pablo Piantanida	N/A	N/A
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer	Arkadiy Saakyan, Smaranda Muresan	N/A	N/A
EUROPA: A Legal Multilingual Keyphrase Generation Dataset	Olivier Salaün, Frédéric Piedboeuf, Guillaume Le Berre, David Alfonso-Hermelo, Philippe Langlais	N/A	N/A
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews	Maxime DARRIN, Ines Arous, Pablo Piantanida, Jackie CK Cheung	N/A	N/A
MAP’s not dead yet: Uncovering true language model modes by conditioning away degeneracy	Davis Yoshida, Kartik Goyal, Kevin Gimpel	N/A	N/A
Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks	Fakhraddin Alwajih, El Moatez Billah Nagoudi, Gagan Bhatia, Abdelrahman Mohamed, Muhammad Abdul-Mageed	N/A	N/A
Generating Coherent Sequences of Visual Illustrations for Real-World Manual Tasks	João Bordalo, Vasco Ramos, Rodrigo Valério, Diogo Glória-Silva, Yonatan Bitton, Michal Yarom, Idan Szpektor, Joao Magalhaes	N/A	N/A
Cheetah: Natural Language Generation for 517 African Languages	Ife Adebara, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed	N/A	N/A
TaPERA: Enhancing Faithfulness and Interpretability in Long-Form Table QA by Content Planning and Execution-based Reasoning	Yilun Zhao, Lyuhao Chen, Arman Cohan, Chen Zhao	N/A	N/A
KnowledgeFMath: A Knowledge-Intensive Math Reasoning Dataset in Finance Domains	Yilun Zhao, Hongjun Liu, Yitao Long, Rui Zhang, Chen Zhao, Arman Cohan	N/A	N/A
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs	Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras	N/A	N/A
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks	Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen, Zhiyuan Liu, Maosong Sun	N/A	N/A
Harder Task Needs More Experts: Dynamic Routing in MoE Models	Quzhe Huang, Zhenwei An, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng	N/A	N/A
XLAVS-R: Cross-Lingual Audio-Visual Speech Representation Learning for Noise-Robust Speech Perception	HyoJung Han, Mohamed Anwar, Juan Pino, Wei-Ning Hsu, Marine Carpuat, Bowen Shi, Changhan Wang	N/A	N/A
SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents	Ruiyi Wang, Haofei Yu, Wenxin Sharon Zhang, Zhengyang Qi, Maarten Sap, Yonatan Bisk, Graham Neubig, Hao Zhu	N/A	N/A
${\mathcal X}$FT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts	Yifeng Ding, Jiawei Liu, Yuxiang Wei, LINGMING ZHANG	N/A	N/A
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning	Tuc Van Nguyen, Thai Le	N/A	N/A
Learning to Decode Collaboratively with Multiple Language Models	Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David Sontag	N/A	N/A
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models	Weihang Su, Yichen Tang, Qingyao Ai, Zhijing Wu, Yiqun LIU	N/A	N/A
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?	Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min zhang	N/A	N/A
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation	Pei Ke, Bosi Wen, Andrew Zhuoer Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang	N/A	N/A
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments	Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen	N/A	N/A
Small But Funny: A Feedback-Driven Approach to Humor Distillation	Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, Arash Einolghozati	N/A	N/A
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models	Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu	N/A	N/A
From Sights to Insights: Towards Summarization of Multimodal Clinical Documents	Akash Ghosh, Mohit Singh Tomar, Abhisek Tiwari, Sriparna Saha, JATIN AVINASH SALVE, Setu Sinha	N/A	N/A
When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models	Jiaxin Wang, Lingling Zhang, Wee Sun Lee, Yujie Zhong, Liwei Kang, Jun Liu	N/A	N/A
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation	Jan Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Maria Bielikova, Peter Brusilovsky	N/A	N/A
Beyond Orthography: Automatic Recovery of Short Vowels and Dialectal Sounds in Arabic	Yassine El Kheir, Hamdy Mubarak, Ahmed Ali, Shammur Absar Chowdhury	N/A	N/A
Document-Level Machine Translation with Large-Scale Public Parallel Corpora	Proyag Pal, Alexandra Birch, Kenneth Heafield	N/A	N/A
Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!	Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, Edoardo Barba, Roberto Navigli	N/A	N/A
NounAtlas: Filling the Gap in Nominal Semantic Role Labeling	Roberto Navigli, Marco Lo Pinto, Pasquale Silvestri, Dennis Rotondi, Simone Ciciliano, Alessandro Scirè	N/A	N/A
Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length	Nur Lan, Emmanuel Chemla, Roni Katzir	N/A	N/A
Context versus Prior Knowledge in Language Models	Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell	N/A	N/A
Word Matters: What Influences Domain Adaptation in Summarization?	Yinghao Li, Siyu Miao, Heyan Huang, Yang Gao	N/A	N/A
Visualization Recommendation with Prompt-based Reprogramming of Large Language Models	Xinhang Li, Jingbo Zhou, Wei Chen, Derong Xu, Tong Xu, Enhong Chen	N/A	N/A
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs	Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh AP	N/A	N/A
Toward In-Context Teaching: Adapting Examples to Students’ Misconceptions	Alexis Ross, Jacob Andreas	N/A	N/A
Bridging Word-Pair and Token-Level Metaphor Detection with Explainable Domain Mining	Yuan Tian, Ruike Zhang, Nan Xu, Wenji Mao	N/A	N/A
Faithful Logical Reasoning via Symbolic Chain-of-Thought	Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu	N/A	N/A
S$^2$GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis	Bingfeng chen, qihan ouyang, yongqi luo, Boyan Xu, Ruichu Cai, Zhifeng Hao	N/A	N/A
Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends	Giuliano Martinelli, Edoardo Barba, Roberto Navigli	N/A	N/A
ESCoT: Towards Interpretable Emotional Support Dialogue Systems	Tenggan Zhang, Xinjie Zhang, Jinming Zhao, Li Zhou, Qin Jin	N/A	N/A
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering	Fangzhi Xu, Qika Lin, Tianzhe Zhao, JiaweiHan, Jun Liu	N/A	N/A
WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection	Anudeex Shetty, Yue Teng, Ke He, Qiongkai Xu	N/A	N/A
Advancing Parameter Efficiency in Fine-tuning via Representation Editing	Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Zhu JianHao, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang	N/A	N/A
Context Consistency between Training and Inference in Simultaneous Machine Translation	Meizhi Zhong, Lemao Liu, Kehai Chen, Mingming Yang, Min Zhang	N/A	N/A
Using Natural Language Explanations to Improve Robustness of In-context Learning	Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp	N/A	N/A
The Earth is Flat because…: Investigating LLMs’ Belief towards Misinformation via Persuasive Conversation	Rongwu Xu, Brian S. Lin, Shujian Yang, Tianqi Zhang, Weiyan Shi, Tianwei Zhang, Zhixuan Fang, Wei Xu, Han Qiu	N/A	N/A
Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers	Jiawen Xie, Pengyu Cheng, Xiao Liang, Yong Dai, nan du	N/A	N/A
LooGLE: Can Long-Context Language Models Understand Long Contexts?	Jiaqi Li, Mengmeng Wang, Zilong Zheng, Muhan Zhang	N/A	N/A
ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models	Hojae Han, Jaejin Kim, Jaeseok Yoo, Youngwon Lee, seung-won hwang	N/A	N/A
Let’s Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation	Se Jin Park, Chae Won Kim, Hyeongseop Rha, Minsu Kim, Joanna Hong, Jeonghun Yeo, Yong Man Ro	N/A	N/A
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels	Zixia Jia, Junpeng Li, Shichuan Zhang, Anji Liu, Zilong Zheng	N/A	N/A
MULFE: A Multi-Level Benchmark for Free Text Model Editing	Chenhao Wang, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao	N/A	N/A
MobileSpeech: A Fast and High-Fidelity Framework for Mobile Zero-Shot Text-to-Speech	Shengpeng Ji, Ziyue Jiang, Wang Hanting, Jialung Zuo, Zhou Zhao	N/A	N/A
Spatially-Aware Speaker for Vision-and-Language Navigation Instruction Generation	Muraleekrishna Gopinathan, Martin Masek, Jumana Abu-Khalaf, David Suter	N/A	N/A
HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position	Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin	N/A	N/A
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training	Junqing He, Kunhao Pan, Xiaoqun Dong, Zhuoyang Song, LiuYiBo, qianguosun, Yuxin Liang, Hao Wang, Enming Zhang, Jiaxing Zhang	N/A	N/A
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges	Kechi Zhang, Jia Li, Ge Li, xianjie Shi, Zhi Jin	N/A	N/A
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator	Ziru Chen, Michael White, Ray Mooney, Ali Payani, Yu Su, Huan Sun	N/A	N/A
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models	Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral	N/A	N/A
ECBD: Evidence-Centered Benchmark Design for NLP	Yu Lu Liu, Su Lin Blodgett, Jackie CK Cheung, Vera Liao, Alexandra Olteanu, Ziang Xiao	N/A	N/A
Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding	Ruohao Guo, Wei Xu, Alan Ritter	N/A	N/A
Reducing Privacy Risks in Online Self-Disclosures with Language Models	Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu	N/A	N/A
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models	Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang	N/A	N/A
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset	Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer	N/A	N/A
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards	Norah A. Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay, Sultan AlRashed, Shaykhah Z. Alsubaie, Yousef Almushayqih, Faisal Abdulrahman Mirza, Nouf M. Alotaibi, Nora Al-Twairesh, Areeb Alowisheq, M Saiful Bari, Haidar Khan	N/A	N/A
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts	Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, Chris Kedzie	N/A	N/A
LIEDER: Linguistically-Informed Evaluation for Discourse Entity Recognition	Xiaomeng Zhu, Robert Frank	N/A	N/A
Evaluating Very Long-Term Conversational Memory of LLM Agents	Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang	N/A	N/A
Prototypical Reward Network for Data-Efficient Model Alignment	Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu	N/A	N/A
NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms	Jonathan Zheng, Alan Ritter, Wei Xu	N/A	N/A
Impacts of Misspelled Queries on Translation and Product Search	Greg Hanneman, Natawut Monaikul, Taichi Nakatani	N/A	N/A
Having Beer after Prayer? Measuring Cultural Bias in Large Language Models	Tarek Naous, Michael J Ryan, Alan Ritter, Wei Xu	N/A	N/A
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs	Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun Zhou, Ruoxi Jia, Ming Jin	N/A	N/A
The MERSA Dataset and a Transformer-Based Approach for Speech Emotion Recognition	Enshi Zhang, Rafael Trujillo, Christian Poellabauer	N/A	N/A
Transparent and Scrutable Recommendations Using Natural Language User Profiles	Jerome Ramos, Hossein A. Rahmani, Xi Wang, Xiao Fu, Aldo Lipani	N/A	N/A
Fora: A corpus and framework for the study of facilitated dialogue	Hope Schroeder, Deb Roy, Jad Kabbara	N/A	N/A
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning	Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky	N/A	N/A
What is the Best Way for ChatGPT to Translate Poetry?	Shanshan Wang, Derek F. Wong, Jingming Yao, Lidia S. Chao	N/A	N/A
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling	Pratyush Maini, Skyler Seto, Richard He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly	N/A	N/A
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention	Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup Rao, Julian McAuley	N/A	N/A
Representation Learning with Conditional Information Flow Maximization	Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu	N/A	N/A
GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction	Virginia K. Felkner, Jennifer A. Thompson, Jonathan May	N/A	N/A
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models	Martin Riddell, Ansong Ni, Arman Cohan	N/A	N/A
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic	Rishabh Bhardwaj, Duc Anh Do, Soujanya Poria	N/A	N/A
Tracking the Newsworthiness of Public Documents	Alexander Spangher, Serdar Tumgoren, Ben Welsh, Nanyun Peng, Emilio Ferrara, Jonathan May	N/A	N/A
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems	Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye HAO, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh	N/A	N/A
Explicating the Implicit: Argument Detection Beyond Sentence Boundaries	Paul Roit, Aviv Slobodkin, Eran Hirsch, Arie Cattan, Ayal Klein, Valentina Pyatkin, Ido Dagan	N/A	N/A
Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Models	Shengzhi LI, Rongyu Lin, Shichao Pei	N/A	N/A
Word Embeddings Are Steers for Language Models	Chi Han, Jialiang Xu, Manling Li, Yi Fung, Chenkai Sun, Nan Jiang, Tarek F. Abdelzaher, Heng Ji	N/A	N/A
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation	Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum	N/A	N/A
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor	Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon	N/A	N/A
LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP	Danlu Chen, Freda Shi, Aditi Agarwal, Jacobo Myerston, Taylor Berg-Kirkpatrick	N/A	N/A
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning	Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou	N/A	N/A
Confabulation: The Surprising Value of Large Language Model Hallucinations	Peiqi Sui, Eamon Duede, Sophie Wu, Richard Jean So	N/A	N/A
IAPT: Instance-Aware Prompt Tuning for Large Language Models	Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie	N/A	N/A
Can Language Models Serve as Text-Based World Simulators?	Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter Jansen	N/A	N/A
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models	Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch	N/A	N/A
Revisiting Code Similarity Evaluation with Abstract Syntax Tree Edit Distance	Yewei Song, Cedric Lothritz, Daniel Tang, Tegawendé F. Bissyandé, Jacques Klein	N/A	N/A
Resisting the Lure of the Skyline: Grounding Practices in Active Learning for Morphological Inflection	Saliha Muradoglu, Michael Ginn, Miikka Silfverberg, Mans Hulden	N/A	N/A
Speculative Contrastive Decoding	Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou	N/A	N/A
RDRec: Rationale Distillation for LLM-based Recommendation	Xinfeng Wang, Jin Cui, Yoshimi Suzuki, Fumiyo Fukumoto	N/A	N/A
Isotropy, Clusters, and Classifiers	Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh	N/A	N/A
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks	Andrew Gambardella, Yusuke Iwasawa, Yutaka Matsuo	N/A	N/A
Cleaner Pretraining Corpus Curation with Neural Web Scraping	Zhipeng Xu, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Ge Yu, Chenyan Xiong	N/A	N/A
Simpson’s Paradox and the Accuracy-Fluency Tradeoff in Translation	Zheng Wei Lim, Ekaterina Vylomova, Trevor Cohn, Charles Kemp	N/A	N/A
UltraSparseBERT: 99% Conditionally Sparse Language Modelling	Peter Belcak, Roger Wattenhofer	N/A	N/A
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark	Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang	N/A	N/A
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models	Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue’, Jun Huang	N/A	N/A
IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus	Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen	N/A	N/A
Bi-Directional Multi-Granularity Generation Framework for Knowledge Graph-to-Text with Large Language Model	Haowei Du, Chen Li, Dinghao Zhang, Dongyan Zhao	N/A	N/A
Code-Switching Can be Better Aligners: Advancing Cross-Lingual SLU through Representation-Level and Prediction-Level Alignment	Zhihong Zhu, Xuxin Cheng, Zhanpeng Chen, Xianwei Zhuang, Zhiqi Huang, Yuexian Zou	N/A	N/A
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models	Zeyu Liu, Souvik Kundu, Anni Li, Junrui Wan, Lianghao Jiang, Peter Anthony Beerel	N/A	N/A
DDPrompt: Differential Diversity Prompting in Large Language Models	Lin Mu, Wenhao Zhang, Yiwen Zhang, Peiquan Jin	N/A	N/A
Monotonic Representation of Numeric Attributes in Language Models	Benjamin Heinzerling, Kentaro Inui	N/A	N/A
Two Issues with Chinese Spelling Correction and A Refinement Solution	Changxuan Sun, Linlin She, Xuesong Lu	N/A	N/A
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation	Jannis Vamvas, Rico Sennrich	N/A	N/A
DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion	Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam .	N/A	N/A
Fine-Tuning Pre-Trained Language Models with Gaze Supervision	Shuwen Deng, Paul Prasse, David Robert Reich, Tobias Scheffer, Lena Ann Jäger	N/A	N/A
Growing Trees on Sounds: Assessing Strategies for End-to-End Dependency Parsing of Speech	Adrien Pupier, Maximin Coavoux, Jérôme Goulian, Benjamin Lecouteux	N/A	N/A
Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access	Saibo Geng, Berkay Döner, Chris Wendler, Martin Josifoski, Robert West	N/A	N/A
On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models	Miri Varshavsky, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin	N/A	N/A
Learnable Privacy Neurons Localization in Language Models	Ruizhe Chen, Tianxiang Hu, YANG FENG, Zuozhu Liu	N/A	N/A
Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Non-Literal Intent Resolution in LLMs	Akhila Yerukola, Saujas Vaduguru, Daniel Fried, Maarten Sap	N/A	N/A
Generating Harder Cross-document Event Coreference Resolution Datasets using Metaphoric Paraphrasing	Shafiuddin Rehan Ahmed, Zhiyong Wang, George Arthur Baker, Kevin Stowe, James H. Martin	N/A	N/A
Soft Self-Consistency Improves Language Models Agents	Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal	N/A	N/A
RecGPT: Generative Pre-training for Text-based Recommendation	Hoang Ngo, Dat Quoc Nguyen	N/A	N/A
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations	Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Reza Haf, Wray Buntine	N/A	N/A
What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects	Verena Blaschke, Christoph Purschke, Hinrich Schuetze, Barbara Plank	N/A	N/A
What Does Parameter-free Probing Really Uncover?	Tommi Buder-Gröndahl	N/A	N/A
ATLAS: Improving Lay Summarisation with Attribute-based Control	Zhihao Zhang, Tomas Goldsack, Carolina Scarton, Chenghua Lin	N/A	N/A
EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models	Mengfei Du, Binhao Wu, Zejun Li, Xuanjing Huang, zhongyu wei	N/A	N/A
Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark	Niklas Wretblad, Fredrik Gordh Riseby, Rahul Biswas, Amin Ahmadi, Oskar Holmström	N/A	N/A
Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval	João Coelho, Bruno Martins, Joao Magalhaes, Jamie Callan, Chenyan Xiong	N/A	N/A
That’s Optional: A Contemporary Exploration of “that” Omission in English Subordinate Clauses	Ella Rabinovich	N/A	N/A
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?	Haozhe An, Christabel Acquaye, Colin Wang, Zongxia Li, Rachel Rudinger	N/A	N/A
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster	Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Björn Ross, Mirella Lapata, Francesco Barbieri	N/A	N/A
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models	Zachary Horvitz, Jingru Chen, Rahul Aditya, Harshvardhan Srivastava, Robert West, Zhou Yu, Kathleen McKeown	N/A	N/A
Estimating the Level of Dialectness Predicts Inter-annotator Agreement in Multi-dialect Arabic Datasets	Amr Keleg, Walid Magdy, Sharon Goldwater	N/A	N/A
Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective	Biaoyan Fang, Ritvik Dinesh, Xiang Dai, Sarvnaz Karimi	N/A	N/A
Greed is All You Need: An Evaluation of Tokenizer Inference Methods	Omri Uzan, Craig W Schmidt, Chris Tanner, Yuval Pinter	N/A	N/A
Sign Language Translation with Sentence Embedding Supervision	HAMIDULLAH Yasser, Josef van Genabith, Cristina España-Bonet	N/A	N/A
STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module	Anton Frederik Thielmann, Arik Reuter, Christoph Weisser, Gillian Kant, Manish Kumar, Benjamin Säfken	N/A	N/A
DocFinQA: A Long-Context Financial Reasoning Dataset	Varshini Reddy, Rik Koncel-Kedziorski, Viet Dac Lai, Michael Krumdick, Charles Lovering, Chris Tanner	N/A	N/A
MaskLID: Code-Switching Language Identification through Iterative Masking	Amir Hossein Kargaran, François Yvon, Hinrich Schuetze	N/A	N/A
An Empirical Analysis on Large Language Models in Debate Evaluation	Xinyi Liu, Pinxin Liu, Hangfeng He	N/A	N/A
Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains	Vilém Zouhar, Shuoyang Ding, Anna Currey, Tatyana Badeka, Jenyuan Wang, Brian Thompson	N/A	N/A
IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages	Saiful Haq, Ashutosh Sharma, Omar Khattab, Niyati Chhaya, Pushpak Bhattacharyya	N/A	N/A
AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization	Yunxiao Zhao, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li	N/A	N/A
Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research	Surangika Ranathunga, Nisansa de Silva, Dilith Jayakody, Aloka Fernando	N/A	N/A
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models	Noah Yamamoto Siegel, Oana-Maria Camburu, Nicolas Heess, Maria Perez-Ortiz	N/A	N/A
Don’t Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models	Anna Bavaresco, Alberto Testoni, Raquel Fernández	N/A	N/A
Naming, Describing, and Quantifying Visual Objects in Humans and LLMs	Alberto Testoni, Juell Sprott, Sandro Pezzelle	N/A	N/A
Are LLMs classical or nonmonotonic reasoners? Lessons from generics	Alina Leidinger, Robert Van Rooij, Ekaterina Shutova	N/A	N/A
ConstitutionalExperts: Training a Mixture of Principle-based Prompts	Savvas Petridis, Ben Wedin, Ann Yuan, James Wexler, Nithum Thain	N/A	N/A
Time Sensitive Knowledge Editing through Efficient Finetuning	Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li	N/A	N/A
PRewrite: Prompt Rewriting with Reinforcement Learning	Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky	N/A	N/A
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes	Mukul Bhutani, Kevin Robinson, Vinodkumar Prabhakaran, Shachi Dave, Sunipa Dev	N/A	N/A
Paraphrasing in Affirmative Terms Improves Negation Understanding	MohammadHossein Rezaei, Eduardo Blanco	N/A	N/A
Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios	Bin Sun, Jianfeng Li, Hao Zhou, Fandong Meng, Kan Li, Jie Zhou	N/A	N/A
Consistency Training by Synthetic Question Generation for Conversational Question Answering	Hamed Hematian Hemati, Hamid Beigy	N/A	N/A
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?	Anushka Singh, Ananya B. Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M Khapra	N/A	N/A
Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages	Mofetoluwa Adeyemi, Akintunde Oladipo, Ronak Pradeep, Jimmy Lin	N/A	N/A
Cross-Modal Projection in Multimodal LLMs Doesn’t Really Project Visual Attributes to Textual Space	Gaurav Verma, Minje Choi, Kartik Sharma, Jamelle Watson-Daniels, Sejoon Oh, Srijan Kumar	N/A	N/A
Guidance-Based Prompt Data Augmentation in Specialized Domains for Named Entity Recognition	Hyeonseok Kang, Hyein Seo, Jeesu Jung, Sangkeun Jung, Du-Seong Chang, Riwoo Chung	N/A	N/A
Aligning Large Language Models via Fine-grained Supervision	Dehong Xu, Liang Qiu, Minseok Kim, Faisal Ladhak, Jaeyoung Do	N/A	N/A
Annotating FrameNet via Structure-Conditioned Language Generation	Xinyue Cui, Swabha Swayamdipta	N/A	N/A
DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms	Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang	N/A	N/A
Towards Artwork Explanation in Large-scale Vision Language Models	Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe	N/A	N/A
On the Hallucination in Simultaneous Machine Translation	Meizhi Zhong, Kehai Chen, Zhengshan Xue, Lemao Liu, Mingming Yang, Min Zhang	N/A	N/A
Self-Augmented In-Context Learning for Unsupervised Word Translation	Yaoyiran Li, Anna Korhonen, Ivan Vulić	N/A	N/A
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records	Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang	N/A	N/A
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models	Zhengxin Zhang, Dan Zhao, Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Qing Li, Yong Jiang, Zhihao Jia	N/A	N/A
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances	Hanlei Zhang, Hua Xu, Fei Long, Xin Wang, Kai Gao	N/A	N/A
MAGE: Machine-generated Text Detection in the Wild	Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang	N/A	N/A
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models	Haoran Li, Dadi Guo, Donghao Li, Wei Fan, Qi Hu, Xin Liu, Chunkit Chan, Duanyi YAO, Yuan Yao, Yangqiu Song	N/A	N/A
GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators	Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Dong Zhang, Zhehuai Chen, EngSiong Chng	N/A	N/A
Exploring Chain-of-Thought for Multi-modal Metaphor Detection	Yanzhi Xu, Yueying Hua, Shichen Li, Zhongqing Wang	N/A	N/A
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation	DaYou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu	N/A	N/A
A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation	Kai Chen, Ye Wang, Yitong Li, Aiping Li, Han Yu, Xin Song	N/A	N/A
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation	Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou	N/A	N/A
CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers	Yong Hu, Fandong Meng, Jie Zhou	N/A	N/A
Evaluating Dynamic Topic Models	Charu Karakkaparambil James, Mayank Nagda, Nooshin Haji Ghassemi, Marius Kloft, Sophie Fellenz	N/A	N/A
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition	Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou	N/A	N/A
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification	Shanshan Xu, Santosh T.Y.S.S, Oana Ichim, Barbara Plank, Matthias Grabmair	N/A	N/A
Inference to the Best Explanation in Large Language Models	Dhairya Dalal, Marco Valentino, Andre Freitas, Paul Buitelaar	N/A	N/A
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus	Eduard Poesina, Cornelia Caragea, Radu Tudor Ionescu	N/A	N/A
DeVAn: Dense Video Annotation for Video-Language Models	Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fang, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang	N/A	N/A
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering	Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang	N/A	N/A
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs	Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Dong Yu, Fei Liu	N/A	N/A
SciMON: Scientific Inspiration Machines Optimized for Novelty	Qingyun Wang, Doug Downey, Heng Ji, Tom Hope	N/A	N/A
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction	Yiren Jian, Tingkai Liu, Yunzhe Tao, Chunhui Zhang, Soroush Vosoughi, Hongxia Yang	N/A	N/A
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models	Abhishek Kumar, Robert Morabito, Sanzhar Umbet, Jad Kabbara, Ali Emami	N/A	N/A
Retrieval-Augmented Multilingual Knowledge Editing	Weixuan Wang, Barry Haddow, Alexandra Birch	N/A	N/A
Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge	Brendan Park, Madeline Janecek, Naser Ezzati-Jivan, Yifeng Li, Ali Emami	N/A	N/A
Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models	Abhishek Kumar, Sarfaroz Yunusov, Ali Emami	N/A	N/A
Framing in the Presence of Supporting Data: A Case Study in U.S. Economic News	Alexandria Leto, Elliot E. Pickens, Coen D. Needell, David Rothschild, Maria Leonor Pacheco	N/A	N/A
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences	Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang	N/A	N/A
TTM-RE: Memory-Augmented Document-Level Relation Extraction	Chufan Gao, Xuan Wang, Jimeng Sun	N/A	N/A
Answer is All You Need: Instruction-following Text Embedding via Answering the Question	Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang	N/A	N/A
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification	Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang	N/A	N/A
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures	Qi Cheng, Michael Boratko, Pranay Kumar Yelugam, Tim O’Gorman, Nalini Singh, Andrew McCallum, Xiang Lorraine Li	N/A	N/A
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis	Yueqi XIE, Minghong Fang, Renjie Pi, Neil Zhenqiang Gong	N/A	N/A
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs	Yi Zeng, Hongpeng Lin, Jingwen Zhang, Diyi Yang, Ruoxi Jia, Weiyan Shi	N/A	N/A
Pouring Your Heart Out: Investigating the Role of Figurative Language in Online Expressions of Empathy	Gyeongeun Lee, Christina Wong, Meghan Guo, Natalie Parde	N/A	N/A
An Information-Theoretic Approach to Analyze NLP Classification Tasks	Luran Wang, Mark Gales, Vatsal Raina	N/A	N/A
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders	Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour	N/A	N/A
Wav2Gloss: Generating Interlinear Glossed Text from Speech	Taiqi He, Kwanghee Choi, Lindia Tjuatja, Nathaniel Romney Robinson, Jiatong Shi, Shinji Watanabe, Graham Neubig, David R Mortensen, Lori Levin	N/A	N/A
Leveraging Codebook Knowledge with NLI and ChatGPT for Zero-Shot Political Relation Classification	Yibo Hu, Erick Skorupa Parolin, Latifur Khan, Patrick Brandt, Javier Osorio, Vito D’Orazio	N/A	N/A
SPOR: A Comprehensive and Practical Evaluation Method for Compositional Generalization in Data-to-Text Generation	Ziyao Xu, Houfeng Wang	N/A	N/A
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following	Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu	N/A	N/A
Multimodal Instruction Tuning with Conditional Mixture of LoRA	Ying Shen, Zhiyang Xu, Qifan Wang, Yu Cheng, Wenpeng Yin, Lifu Huang	N/A	N/A
DocLens: Multi-aspect Fine-grained Medical Text Evaluation	Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn Rose	N/A	N/A
FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability	Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong	N/A	N/A
Hyper-CL: Conditioning Sentence Representations with Hypernetworks	Young Hyun Yoo, Jii Cha, Changhyeon Kim, Taeuk Kim	N/A	N/A
Analysis of Multi-Source Language Training in Cross-Lingual Transfer	Seonghoon Lim, Taejun Yun, Jinhyeon Kim, Jihun Choi, Taeuk Kim	N/A	N/A
ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions	Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Chandra Kiran Reddy Evuru, Ramaneswaran S, S Sakshi, Dinesh Manocha	N/A	N/A
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants	Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa	N/A	N/A
Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving	Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang	N/A	N/A
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach	Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon	N/A	N/A
IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction	Inna Wanyin Lin, Ashish Sharma, Christopher Michael Rytting, Adam S Miner, Jina Suh, Tim Althoff	N/A	N/A
Token-wise Influential Training Data Retrieval for Large Language Models	Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao	N/A	N/A
Tree-of-Counterfactual Prompting for Zero-Shot Stance Detection	Maxwell Weinzierl, Sanda Harabagiu	N/A	N/A
VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks	Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Ruslan Salakhutdinov, Daniel Fried	N/A	N/A
FineSurE: Fine-grained Summarization Evaluation using LLMs	Hwanjun Song, Hang Su, Igor Shalyminov, Jason Cai, Saab Mansour	N/A	N/A
Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback	Daechul Ahn, Yura Choi, Youngjae Yu, Dongyeop Kang, Jonghyun Choi	N/A	N/A
Prompt Refinement with Image Pivot for Text-to-Image Generation	Jingtao Zhan, Qingyao Ai, Yiqun LIU, Yingwei Pan, Ting Yao, Jiaxin Mao, Shaoping Ma, Tao Mei	N/A	N/A
The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models	Adithya Bhaskar, Dan Friedman, Danqi Chen	N/A	N/A
Striking Gold in Advertising: Standardization and Exploration of Ad Text Generation	Masato Mita, Soichiro Murakami, Akihiko Kato, Peinan Zhang	N/A	N/A
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation	Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Wong, Simon See	N/A	N/A
Reflect-RL: Two-Player Online RL Fine-Tuning for LMs	Runlong Zhou, Simon Shaolei Du, Beibin Li	N/A	N/A
Can ChatGPT’s Performance be Improved on Verb Metaphor Detection Tasks? Bootstrapping and Combining Tacit Knowledge	Cheng Yang, Puli Chen, Qingbao Huang	N/A	N/A
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning	Zhaorui Yang, Tianyu Pang, Haozhe Feng, Han Wang, Wei Chen, Minfeng Zhu, Qian Liu	N/A	N/A
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation	kun Zhu, Xiaocheng Feng, Xiyuan Du, Yuxuan Gu, Weijiang Yu, Haotian Wang, Qianglong Chen, Zheng Chu, Jingchang Chen, Bing Qin	N/A	N/A
RORA: Robust Free-Text Rationale Evaluation	Zhengping Jiang, Yining Lu, Hanjie Chen, Daniel Khashabi, Benjamin Van Durme, Anqi Liu	N/A	N/A
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents	Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun	N/A	N/A
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models	Lei Li, Yuqi Wang, Runxin Xu, Peiyi Wang, Xiachong Feng, Lingpeng Kong, Qi Liu	N/A	N/A
L-Eval: Instituting Standardized Evaluation for Long Context Language Models	Chenxin An, Shansan Gong, Ming Zhong, Xingjian Zhao, Mukai Li, Jun Zhang, Lingpeng Kong, Xipeng Qiu	N/A	N/A
DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages	Fahim Faisal, Orevaoghene Ahia, Aarohi Srivastava, Kabir Ahuja, David Chiang, Yulia Tsvetkov, Antonios Anastasopoulos	N/A	N/A
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction	Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, Huajun Chen	N/A	N/A
Causal-Guided Active Learning for Debiasing Large Language Models	Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin	N/A	N/A
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models	Aparna Elangovan, Ling Liu, Lei Xu, Sravan Babu Bodapati, Dan Roth	N/A	N/A
Linguistically Conditioned Semantic Textual Similarity	Jingxuan Tu, Keer Xu, Liulu Yue, Bingyang Ye, Kyeongmin Rim, James Pustejovsky	N/A	N/A
Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future	Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu	N/A	N/A
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models	Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, Bing Qin	N/A	N/A
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering	Zheng Chu, Jingchang Chen, Qianglong Chen, Haotian Wang, kun Zhu, Xiyuan Du, Weijiang Yu, Ming Liu, Bing Qin	N/A	N/A
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base	Siyu Yuan, Jiangjie Chen, Changzhi Sun, Jiaqing Liang, Yanghua Xiao, Deqing Yang	N/A	N/A
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation	Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan SHI, Bo LIU, Xiao-Ming Wu	N/A	N/A
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models	Damai Dai, Chengqi Deng, Chenggang Zhao, R.X. Xu, Huazuo Gao, Deli Chen, Jiashi Li, Wangding Zeng, Xingkai Yu, Y. Wu, Zhenda Xie, Y.K. Li, Panpan Huang, Fuli Luo, Chong Ruan, Zhifang Sui, Wenfeng Liang	N/A	N/A
Grounding Language Model with Chunking-Free In-Context Retrieval	Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou	N/A	N/A
Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation	Jiaxin Bai, Yicheng Wang, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song	N/A	N/A
Active Prompting with Chain-of-Thought for Large Language Models	Shizhe Diao, Pengcheng Wang, Yong Lin, Rui Pan, Xiang Liu, Tong Zhang	N/A	N/A
EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs	Xiangyu Zhao, Bo LIU, Qijiong Liu, Guangyuan SHI, Xiao-Ming Wu	N/A	N/A
Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search	Haochen Li, Xin Zhou, Zhiqi Shen	N/A	N/A
A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications	Naomi Baes, Nick Haslam, Ekaterina Vylomova	N/A	N/A
Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal	Jianheng Huang, Leyang Cui, Ante Wang, chengyiyang, Xinting Liao, Linfeng Song, Junfeng Yao, Jinsong Su	N/A	N/A
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency	Baizhou Huang, Shuai Lu, Xiaojun Wan, Nan Duan	N/A	N/A
Citation-Enhanced Generation for LLM-based Chatbots	Weitao Li, Junkai Li, Weizhi Ma, Yang Liu	N/A	N/A
Transitive Consistency Constrained Learning for Entity-to-Entity Stance Detection	Haoyang Wen, Eduard Hovy, Alexander G Hauptmann	N/A	N/A
Feature-Adaptive and Data-Scalable In-Context Learning	Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao	N/A	N/A
Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games	Yizhe Zhang, Jiarui Lu, Navdeep Jaitly	N/A	N/A
WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models	Shangqing Tu, Yuliang Sun, Yushi Bai, Jifan Yu, Lei Hou, Juanzi Li	N/A	N/A
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models	Yida Zhao, Chao Lou, Kewei Tu	N/A	N/A
A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation	Zhengrui Ma, Qingkai Fang, Shaolei Zhang, Shoutao Guo, Yang Feng, Min zhang	N/A	N/A
PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents	Qisen Yang, Zekun Wang, Honghui Chen, Shenzhi Wang, Yifan Pu, Xin Gao, Wenhao Huang, Shiji Song, Gao Huang	N/A	N/A
Probing Language Models for Pre-training Data Detection	Zhenhua Liu, Tong Zhu, Chuanyuan Tan, Bing Liu, Haonan Lu, Wenliang Chen	N/A	N/A
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding	Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua	N/A	N/A
IBSEN: Director-Actor Agent Collaboration for Controllable and Interactive Drama Script Generation	Senyu Han, Lu Chen, Li-Min Lin, Zhengshan Xu, Kai Yu	N/A	N/A
Language Model Adaption for Reinforcement Learning with Natural Language Action Space	Jiangxing Wang, Jiachen Li, Xiao Han, Deheng Ye, Zongqing Lu	N/A	N/A
Evaluating Intention Detection Capability of Large Language Models in Persuasive Dialogues	Hiromasa Sakurai, Yusuke Miyao	N/A	N/A
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression	Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu	N/A	N/A
Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model	Chuhao Jin, Kening Ren, Lingzhen Kong, Xiting Wang, Ruihua Song, huan chen	N/A	N/A
HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy	Mengxi Xiao, Qianqian Xie, Ziyan Kuang, Zhicheng Liu, Kailai Yang, Min Peng, Weiguang Han, Jimin Huang	N/A	N/A
Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition	Zirun Guo, Tao Jin, Zhou Zhao	N/A	N/A
An Effective Pronunciation Assessment Approach Leveraging Hierarchical Transformers and Pre-training Strategies	Bi-Cheng Yan, Jiun-Ting Li, Yi-Cheng Wang, Hsin Wei Wang, Tien-Hong Lo, Yung-Chang Hsu, Wei-Cheng Chao, Berlin Chen	N/A	N/A
Detection-Correction Structure via General Language Model for Grammatical Error Correction	Wei Li, Houfeng Wang	N/A	N/A
Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer	Yongxin Zhu, Dan Su, Liqiang He, Linli Xu, Dong Yu	N/A	N/A
Selene: Pioneering Automated Proof in Software Verification	Lichen Zhang, Shuai Lu, Nan Duan	N/A	N/A
Dissecting Human and LLM Preferences	Junlong Li, Fan Zhou, Shichao Sun, Yikai Zhang, hai zhao, Pengfei Liu	N/A	N/A
UniCoder: Scaling Code Large Language Model via Universal Code	Tao Sun, Linzheng Chai, Jian Yang, Yuwei Yin, Hongcheng Guo, Jiaheng Liu, Bing Wang, Liqun Yang, Zhoujun Li	N/A	N/A
AoE: Angle-optimized Embeddings for Semantic Textual Similarity	Xianming LI, Jing Li	N/A	N/A
InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews	Xintao Wang, Yunze Xiao, Jen-tse Huang, Siyu Yuan, Rui Xu, Haoran Guo, Quan Tu, Yaying Fei, Ziang Leng, Wei Wang, Jiangjie Chen, Cheng Li, Yanghua Xiao	N/A	N/A
Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better	Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen	N/A	N/A
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators	Jingwei Ni, Minjing Shi, Dominik Stammbach, Mrinmaya Sachan, Elliott Ash, Markus Leippold	N/A	N/A
Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering	Tobias Schimanski, Jingwei Ni, Mathias Kraus, Elliott Ash, Markus Leippold	N/A	N/A
LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin	Shihan Dou, Enyu Zhou, Yan Liu, Songyang Gao, Wei Shen, Limao Xiong, Yuhao Zhou, Xiao Wang, Zhiheng Xi, Xiaoran Fan, Shiliang Pu, Zhu Jiang, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-Evaluation	Xiaoying Zhang, Baolin Peng, Ye Tian, Jingyan Zhou, Lifeng Jin, Linfeng Song, Haitao Mi, Helen M. Meng	N/A	N/A
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions	Zheng Wang, Shu Xian Teo, Jieer Ouyang, Yongjun xu, Wei Shi	N/A	N/A
AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension	Qian Yang, Jin Xu, Wenrui Liu, Yunfei Chu, Ziyue Jiang, Xiaohuan Zhou, Yichong Leng, Yuanjun Lv, Zhou Zhao, Chang Zhou, Jingren Zhou	N/A	N/A
Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies	Tom Kocmi, Vilém Zouhar, Christian Federmann, Matt Post	N/A	N/A
ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language Models	Yuanyi Ren, Haoran Ye, Hanjun Fang, Xin Zhang, Guojie Song	N/A	N/A
DM-BLI: Dynamic Multiple Subspaces Alignment for Unsupervised Bilingual Lexicon Induction	Ling Hu, Yuemei Xu	N/A	N/A
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations	Jesus Solano, Mardhiyah Sanni, Oana-Maria Camburu, Pasquale Minervini	N/A	N/A
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation	Wen Wu, Bo Li, Chao Zhang, Chung-Cheng Chiu, Qiujia Li, Junwen Bai, Tara N Sainath, Phil Woodland	N/A	N/A
REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation	Jinyuan Fang, Zaiqiao Meng, Craig MacDonald	N/A	N/A
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks	Yingji Zhang, Danilo Carvalho, Andre Freitas	N/A	N/A
MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation	Yan Ma, Yu Qiao, Pengfei Liu	N/A	N/A
Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization	Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu	N/A	N/A
ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages	Junjie Ye, Sixian Li, Guanyu Li, Huangcaishuang, Songyang Gao, Yilong Wu, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
A synthetic data approach for domain generalization of NLI models	Mohammad Javad Hosseini, Andrey Petrov, Alex Fabrikant, Annie Louis	N/A	N/A
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild	Ting Wu, Jingyi Liu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models	Jiaqi Zhao, Miao Zhang, Chao Zeng, Ming Wang, Xuebo Liu, Liqiang Nie	N/A	N/A
VariErr NLI: Separating Annotation Error from Human Label Variation	Leon Weber-Genzel, Siyao Peng, Marie-Catherine de Marneffe, Barbara Plank	N/A	N/A
Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient	Mingxin Li, Richong Zhang, Zhijie Nie	N/A	N/A
Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation	Xunjian Yin, Xu Zhang, Jie Ruan, Xiaojun Wan	N/A	N/A
ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval	Soyoung Yoon, Eunbi Choi, Jiyeon Kim, Hyeongu Yun, Yireun Kim, seung-won hwang	N/A	N/A
Exploring the Potential of Large Language Models in Computational Argumentation	Guizhen Chen, Liying Cheng, Anh Tuan Luu, Lidong Bing	N/A	N/A
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks	Viktor Moskvoretskii, Ekaterina Neminova, Alina Lobanova, Alexander Panchenko, Irina Nikishina	N/A	N/A
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning	Weiqi Wang, Tianqing Fang, Chunyang Li, Haochen Shi, Wenxuan Ding, Baixuan Xu, Zhaowei Wang, Jiaxin Bai, Xin Liu, Cheng Jiayang, Chunkit Chan, Yangqiu Song	N/A	N/A
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter	Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren	N/A	N/A
Surgical Feature-Space Decomposition of LLMs: Why, When and How?	Arnav Chavan, Nahush Lele, Deepak Gupta	N/A	N/A
Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance	Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Junqi Dai, Qinyuan Cheng, Xuanjing Huang, Xipeng Qiu	N/A	N/A
Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering	Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang	N/A	N/A
Unlocking Data-free Low-bit Quantization with Matrix Decomposition for KV Cache Compression	Peiyu Liu, Ze-Feng Gao, Xin Zhao, Yipeng Ma, Tao Wang, Ji-Rong Wen	N/A	N/A
Emergent Word Order Universals from Cognitively-Motivated Language Models	Tatsuki Kuribayashi, Ryo Ueda, Ryo Yoshida, Yohei Oseki, Ted Briscoe, Timothy Baldwin	N/A	N/A
VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models	Seoyeon Kim, Kwangwook Seo, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee	N/A	N/A
Making Long-Context Language Models Better Multi-Hop Reasoners	Yanyang Li, Shuo Liang, Michael Lyu, Liwei Wang	N/A	N/A
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models	Yihong Liu, Chunlan Ma, Haotian Ye, Hinrich Schuetze	N/A	N/A
Extreme Miscalibration and the Illusion of Adversarial Robustness	Vyas Raina, Samson Tan, Volkan Cevher, Aditya Rawal, Sheng Zha, George Karypis	N/A	N/A
HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation	Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin	N/A	N/A
Co-training for Low Resource Scientific Natural Language Inference	Mobashir Sadat, Cornelia Caragea	N/A	N/A
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models	Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao	N/A	N/A
Time is Encoded in the Weights of Finetuned Language Models	Kai Nylund, Suchin Gururangan, Noah A. Smith	N/A	N/A
Long-Context Language Modeling with Parallel Context Encoding	Howard Yen, Tianyu Gao, Danqi Chen	N/A	N/A
SirLLM: Streaming Infinite Retentive LLM	Yao Yao, Zuchao Li, hai zhao	N/A	N/A
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models	Tao Feng, Lizhen Qu, Zhuang Li, Haolan Zhan, YUNCHENG HUA, Reza Haf	N/A	N/A
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale	Xiang Hu, Pengyu Ji, Qingyang Zhu, Wei Wu, Kewei Tu	N/A	N/A
MELA: Multilingual Evaluation of Linguistic Acceptability	Ziyin Zhang, Yikang Liu, Weifang Huang, Junyu Mao, Rui Wang, Hai Hu	N/A	N/A
Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View	Jintian Zhang, Xin Xu, Ningyu Zhang, Ruibo Liu, Bryan Hooi, Shumin Deng	N/A	N/A
CopyNE: Better Contextual ASR by Copying Named Entities	Shilin Zhou, Zhenghua Li, Yu Hong, Min Zhang, Zhefeng Wang, Baoxing Huai	N/A	N/A
Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval	Peter Baile Chen, Yi Zhang, Dan Roth	N/A	N/A
Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation	Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao	N/A	N/A
ItD: Large Language Models Can Teach Themselves Induction through Deduction	Wangtao Sun, Haotian Xu, Xuanqing Yu, Pei Chen, Shizhu He, Jun Zhao, Kang Liu	N/A	N/A
MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs	Zimu Lu, Aojun Zhou, Houxing Ren, Ke Wang, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li	N/A	N/A
MARVEL: Unlocking the Multi-Modal Capability of Dense Retrieval via Visual Module Plugin	Tianshuo Zhou, Sen Mei, Xinze Li, Zhenghao Liu, Chenyan Xiong, Zhiyuan Liu, Yu Gu, Ge Yu	N/A	N/A
Rethinking Task-Oriented Dialogue Systems: From Complex Modularity to Zero-Shot Autonomous Agent	Heng-Da Xu, Xian-Ling Mao, Puhai Yang, Fanshu Sun, Heyan Huang	N/A	N/A
On Context Utilization in Summarization with Large Language Models	Mathieu Ravaut, Aixin Sun, Nancy F. Chen, Shafiq Joty	N/A	N/A
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning	Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zheng Liu, Ji-Rong Wen, Zhicheng Dou	N/A	N/A
Enhancing In-Context Learning via Implicit Demonstration Augmentation	Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang	N/A	N/A
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA	Sheng Wang, Boyang XUE, Jiacheng Ye, Jiyue Jiang, Liheng Chen, Lingpeng Kong, Chuan Wu	N/A	N/A
Distributional Inclusion Hypothesis and Quantifications: Probing for Hypernymy in Functional Distributional Semantics	Chun Hei Lo, Wai Lam, Hong Cheng, Guy Emerson	N/A	N/A
Improving Event Definition Following For Zero-Shot Event Detection	Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng	N/A	N/A
Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements	Xiao Wei, Xu Qi, Hang Yu, Qian Liu, Erik Cambria	N/A	N/A
Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding	Yiruo Cheng, Kelong Mao, Zhicheng Dou	N/A	N/A
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks	Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, Tianxing He	N/A	N/A
CausalGym: Benchmarking causal interpretability methods on linguistic tasks	Aryaman Arora, Dan Jurafsky, Christopher Potts	N/A	N/A
Training Language Models to Generate Text with Citations via Fine-grained Rewards	Chengyu Huang, Zeqiu Wu, Yushi Hu, Wenya Wang	N/A	N/A
Hypergraph based Understanding for Document Semantic Entity Recognition	Qiwei Li, Zuchao Li, Ping Wang, Haojun Ai, hai zhao	N/A	N/A
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers	Qintong Li, Leyang Cui, Xueliang Zhao, Lingpeng Kong, Wei Bi	N/A	N/A
Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models	Qingkai Min, Qipeng Guo, Xiangkun Hu, Songfang Huang, Zheng Zhang, Yue Zhang	N/A	N/A
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning	Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, chengfei lv, Huajun Chen	N/A	N/A
ChronosLex: Time-aware Incremental Training for Temporal Generalization of Legal Classification Tasks	Santosh T.Y.S.S, Tuan-Quang Vuong, Matthias Grabmair	N/A	N/A
Virtual Compiler Is All You Need For Assembly Code Search	Zeyu Gao, Hao Wang, Yuanda Wang, Chao Zhang	N/A	N/A
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning	Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei	N/A	N/A
Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning	Yongqi Tong, Dawei Li, Sizhe Wang, Yujia Wang, Fei Teng, Jingbo Shang	N/A	N/A
An Iterative Associative Memory Model for Empathetic Response Generation	Zhou Yang, Zhaochun Ren, Wang Yufeng, Haizhou Sun, Chao Chen, Xiaofei Zhu, Xiangwen Liao	N/A	N/A
Detoxifying Large Language Models via Knowledge Editing	Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen	N/A	N/A
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding	Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li	N/A	N/A
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models	Yuyan Chen, Songzhou Yan, Panjun Liu, Yanghua Xiao	N/A	N/A
UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages	Trinh Pham, Khoi M. Le, Anh Tuan Luu	N/A	N/A
VISTA: Visualized Text Embedding For Universal Multi-Modal Retrieval	Junjie Zhou, Zheng Liu, Shitao Xiao, Bo Zhao, yongping xiong	N/A	N/A
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training	Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang	N/A	N/A
Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark	Chanjun Park, Hyeonwoo Kim, Dahyun Kim, SeongHwan Cho, Sanghoon Kim, Sukyung Lee, Yungi Kim, Hwalsuk Lee	N/A	N/A
Unified Hallucination Detection for Multimodal Large Language Models	Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, xiaoyan yang, Qiang Li, YUE SHEN, Lei Liang, Jinjie GU, Huajun Chen	N/A	N/A
Empowering Character-level Text Infilling by Eliminating Sub-Tokens	Houxing Ren, Mingjie Zhan, Zhongyuan Wu, Hongsheng Li	N/A	N/A
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models	Kun Luo, Zheng Liu, Shitao Xiao, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu	N/A	N/A
GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?	Dayoon Ko, Jinyoung Kim, Hahyeon Choi, Gunhee Kim	N/A	N/A
Attribute First, then Generate: Locally-attributable Grounded Text Generation	Aviv Slobodkin, Eran Hirsch, Arie Cattan, Tal Schuster, Ido Dagan	N/A	N/A
T2S-GPT: Dynamic Vector Quantization for Autoregressive Sign Language Production from Text	Aoxiong Yin, Haoyuan Li, Kai Shen, Siliang Tang, Yueting Zhuang	N/A	N/A
OceanGPT: A Large Language Model for Ocean Science Tasks	Zhen Bi, Ningyu Zhang, Yida Xue, Yixin Ou, Daxiong Ji, Guozhou Zheng, Huajun Chen	N/A	N/A
Beyond Memorization: The Challenge of Random Memory Access in Language Models	Tongyao Zhu, Qian Liu, Liang Pang, Zhengbao Jiang, Min-Yen Kan, Min Lin	N/A	N/A
BIPED: Pedagogically Informed Tutoring System for ESL Education	Soonwoo Kwon, Sojung Kim, Minju Park, Seunghyun Lee, Kyuseok Kim	N/A	N/A
Timeline-based Sentence Decomposition with In Context Learning for Temporal Fact Extraction	Jianhao Chen, Haoyuan Ouyang, Junyang Ren, Wentao Ding, Wei Hu, Yuzhong Qu	N/A	N/A
Collaboration or Corporate Capture? Quantifying NLP’s Reliance on Industry Artifacts and Contributions	Will Aitken, Mohamed Abdalla, Karen Rudie, Catherine Stinson	N/A	N/A
Prompt Expansion for Adaptive Text-to-Image Generation	Siddhartha Datta, Alexander Ku, Deepak Ramachandran, Peter Anderson	N/A	N/A
Progressively Modality Freezing for Multi-Modal Entity Alignment	Yani Huang, Xuefeng Zhang, Richong Zhang, Junfan Chen, Jaein Kim	N/A	N/A
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval	Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian	N/A	N/A
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts	Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, Lidong Bing	N/A	N/A
Metaphor Understanding Challenge Dataset for LLMs	Xiaoyu Tong, Rochelle Choenni, Martha Lewis, Ekaterina Shutova	N/A	N/A
A Multi-Task Embedder For Retrieval Augmented LLMs	Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jian-Yun Nie	N/A	N/A
Language Models Don’t Learn the Physical Manifestation of Language	Bruce W Lee, Jaehyuk Lim	N/A	N/A
Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration	Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov	N/A	N/A
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection	Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov	N/A	N/A
Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives	Wenqi Zhang, Yongliang Shen, Linjuan Wu, Qiuying Peng, Jun Wang, Yueting Zhuang, Weiming Lu	N/A	N/A
Relying on the Unreliable: The Impact of Language Models’ Reluctance to Express Uncertainty	Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap	N/A	N/A
Mission: Impossible Language Models	Julie Kallini, Isabel Papadimitriou, Richard Futrell, Kyle Mahowald, Christopher Potts	N/A	N/A
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources	Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma	N/A	N/A
Semisupervised Neural Proto-Language Reconstruction	Liang Lu, Peirong Xie, David R Mortensen	N/A	N/A
When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP	Sara Papi, Marco Gaido, Andrea Pilzer, Matteo Negri	N/A	N/A
SBAAM! Eliminating Transcript Dependency in Automatic Subtitling	Marco Gaido, Sara Papi, Matteo Negri, Mauro Cettolo, Luisa Bentivogli	N/A	N/A
Speech Translation with Speech Foundation Models and Large Language Models: What is There and What is Missing?	Marco Gaido, Sara Papi, Matteo Negri, Luisa Bentivogli	N/A	N/A
StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection	Sara Papi, Marco Gaido, Matteo Negri, Luisa Bentivogli	N/A	N/A
ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling	LingXi Zhang, Yue Yu, Kuan Wang, Chao Zhang	N/A	N/A
Crayon: Customized On-Device LLM via Instant Adapter Blending and Edge-Server Hybrid Inference	Jihwan Bang, Juntae Lee, Kyuhong Shim, Seunghan Yang, Simyung Chang	N/A	N/A
FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model	Yebin Lee, Imseong Park, Myungjoo Kang	N/A	N/A
MentalManip: A Dataset For Fine-grained Analysis of Mental Manipulation in Conversations	Yuxin Wang, Ivory Yang, Saeed Hassanpour, Soroush Vosoughi	N/A	N/A
MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning	Zhenlong Dai, Chang Yao, WenKang Han, Yuanying, Zhipeng Gao, Jingyuan Chen	N/A	N/A
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows	Ajay Patel, Colin Raffel, Chris Callison-Burch	N/A	N/A
Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective	Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou	N/A	N/A
Identifying while Learning for Document Event Causality Identification	Cheng Liu, Wei Xiang, Bang Wang	N/A	N/A
OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems	Chaoqun He, Renjie Luo, Yuzhuo Bai, Shengding Hu, Zhen Leng Thai, Junhao Shen, Jinyi Hu, Xu Han, Yujie Huang, Yuxiang Zhang, Jie Liu, Lei Qi, Zhiyuan Liu, Maosong Sun	N/A	N/A
Insert or Attach: Taxonomy Completion via Box Embedding	Wei Xue, Yongliang Shen, Wenqi Ren, Jietian Guo, Shiliang Pu, Weiming Lu	N/A	N/A
Semiparametric Token-Sequence Co-Supervision	Hyunji Lee, Doyoung Kim, Jihoon Jun, Se June Joo, Joel Jang, Kyoung-Woon On, Minjoon Seo	N/A	N/A
Instruction Fusion: Advancing Prompt Evolution through Hybridization	Weidong Guo, Jiuding Yang, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu	N/A	N/A
TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation	Yikai Zhang, Siyu Yuan, Caiyu Hu, Kyle Richardson, Yanghua Xiao, Jiangjie Chen	N/A	N/A
Exploring Memorization in Fine-tuned Language Models	Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin	N/A	N/A
Towards Real-world Scenario: Imbalanced New Intent Discovery	Shun Zhang, Yan Chaoran, Jian Yang, Jiaheng Liu, Ying Mo, Jiaqi Bai, Tongliang Li, Zhoujun Li	N/A	N/A
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection	Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, OSAMA MOHAMMED AFZAL, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov	N/A	N/A
Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue	Jian Wang, Chak Tou Leong, Jiashuo WANG, Dongding Lin, Wenjie Li, Xiaoyong Wei	N/A	N/A
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training	Nan He, Weichen Xiong, Hanwen Liu, Yi Liao, Lei Ding, Kai Zhang, Guohua Tang, Xiao Han, Yang Wei	N/A	N/A
Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?	Ning Bian, Xianpei Han, Hongyu Lin, Yaojie Lu, Ben He, Le Sun	N/A	N/A
Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning	Zeqi Tan, Yongliang Shen, Xiaoxia Cheng, Chang Zong, Wenqi Zhang, Jian Shao, Weiming Lu, Yueting Zhuang	N/A	N/A
CaMML: Context-Aware Multimodal Learner for Large Models	Yixin Chen, Shuai Zhang, Boran Han, Tong He, Bo Li	N/A	N/A
MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation	Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li	N/A	N/A
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes	Lizhou Fan, Wenyue Hua, Lingyao Li, Haoyang Ling, Yongfeng Zhang	N/A	N/A
Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models	Zhiwei He, Binglin Zhou, Hongkun Hao, Aiwei Liu, Xing Wang, Zhaopeng Tu, Zhuosheng Zhang, Rui Wang	N/A	N/A
Speech vs. Transcript: Does It Matter for Human Annotators in Speech Summarization?	Roshan Sharma, Suwon Shon, Mark Lindsey, Hira Dhamyal, Bhiksha Raj	N/A	N/A
Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors	Alicja Chaszczewicz, Raj Sanjay Shah, Ryan Louie, Bruce A Arnow, Robert Kraut, Diyi Yang	N/A	N/A
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search	Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang	N/A	N/A
In­-context Mixing (ICM): Code­-mixed Prompts for Multilingual LLMs	Bhavani Shankar, Preethi Jyothi, Pushpak Bhattacharyya	N/A	N/A
Respond in my Language: Mitigating Language Inconsistency in Response Generation based on Large Language Models	Liang Zhang, Qin Jin, Haoyang Huang, Dongdong Zhang, Furu Wei	N/A	N/A
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries	Yu-Hsiang Huang, Yuche Tsai, Hsiang Hsiao, Hong-Yi Lin, Shou-De Lin	N/A	N/A
Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding	Kuo Liao, Shuang Li, Meng Zhao, Liqun Liu, Mengge Xue, zhenyu hu, Honglin Han, Chengguo Yin	N/A	N/A
Intuitive or Dependent? Investigating LLMs’ Behavior Style to Conflicting Prompts	Jiahao Ying, Yixin Cao, Kai Xiong, Long Cui, yidong He, Yongbin Liu	N/A	N/A
CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending	Shiyi Zhu, Jing Ye, Wei Jiang, Siqiao Xue, Qi Zhang, Yifan Wu, Jianguo Li	N/A	N/A
Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization	Salman Elgamal, Ossama Obeid, MHD Tameem Kabbani, Go Inoue, Nizar Habash	N/A	N/A
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification	Jan Trienes, Sebastian Antony Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C Wallace, Junyi Jessy Li	N/A	N/A
Disinformation Capabilities of Large Language Models	Ivan Vykopal, Matúš Pikuliak, Ivan Srba, Robert Moro, Dominik Macko, Maria Bielikova	N/A	N/A
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models	Junhao Zheng, Shengjie Qiu, Qianli Ma	N/A	N/A
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following	Kaiyan Zhang, Jianyu Wang, Ermo Hua, Biqing Qi, Ning Ding, Bowen Zhou	N/A	N/A
DAPR: A Benchmark on Document-Aware Passage Retrieval	Kexin Wang, Nils Reimers, Iryna Gurevych	N/A	N/A
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field Study	Andreas Waldis, Yufang Hou, Iryna Gurevych	N/A	N/A
Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors	Mengge Xue, zhenyu hu, Liqun Liu, Kuo Liao, Shuang Li, Honglin Han, Meng Zhao, Chengguo Yin	N/A	N/A
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph	Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye	N/A	N/A
Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages	Samuel Cahyawijaya, Holy Lovenia, Fajri Koto, Rifki Afina Putri, Wawan Cenggoro, Jhonson Lee, Salsabil Maulana Akbar, Emmanuel Dave, Nuurshadieq, Muhammad Ihza Mahendra, Rr Dea Annisayanti Putri, Bryan Wilie, Genta Indra Winata, Alham Fikri Aji, Ayu Purwarianti, Pascale Fung	N/A	N/A
Uncertainty-Guided Modal Rebalance for Hateful Memes Detection	Chuanpeng Yang, Yaxin Liu, Fuqing Zhu, Jizhong Han, Songlin Hu	N/A	N/A
Must NLP be Extractive?	Steven Bird	N/A	N/A
Spiral of Silence: How is Large Language Model Killing Information Retrieval?—A Case Study on Open Domain Question Answering	Xiaoyang Chen, Ben He, Hongyu Lin, Xianpei Han, Tianshu Wang, Boxi Cao, Le Sun, Yingfei Sun	N/A	N/A
Missci: Reconstructing Fallacies in Misrepresented Science	Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych	N/A	N/A
Uncovering the Full Potential of Visual Grounding Methods in VQA	Daniel Reich, Tanja Schultz	N/A	N/A
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs	Jiejun Tan, Zhicheng Dou, Yutao Zhu, Peidong Guo, Kun Fang, Ji-Rong Wen	N/A	N/A
Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation	Pius von Däniken, Jan Milan Deriu, Don Tuggener, Mark Cieliebak	N/A	N/A
LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback	Timon Ziegenbein, Gabriella Skitalinskaya, Alireza Bayat Makou, Henning Wachsmuth	N/A	N/A
Graph Language Models	Moritz Plenz, Anette Frank	N/A	N/A
Analyzing Semantic Change through Lexical Replacements	Francesco Periti, Pierluigi Cassotti, Haim Dubossarsky, Nina Tahmasebi	N/A	N/A
Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization	Zhe Xu, Kun Wei, Xu Yang, Cheng Deng	N/A	N/A
Latxa: An Open Language Model and Evaluation Suite for Basque	Julen Etxaniz, Oscar Sainz, Naiara Perez Miguel, Itziar Aldabe, German Rigau, Eneko Agirre, Aitor Ormazabal, Mikel Artetxe, Aitor Soroa	N/A	N/A
Interpretability of Language Models via Task Spaces	Lucas Weber, Jaap Jumelet, Elia Bruni, Dieuwke Hupkes	N/A	N/A
Using Synchronic Definitions and Semantic Relations to Classify Semantic Change Types	Pierluigi Cassotti, Stefano De Pascale, Nina Tahmasebi	N/A	N/A
Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators	Matéo Mahaut, Laura Aina, Paula Czarnowska, Momchil Hardalov, Thomas Müller, Lluis Marquez	N/A	N/A
StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback	Shihan Dou, Yan Liu, Haoxiang Jia, Enyu Zhou, Limao Xiong, Junjie Shan, Huangcaishuang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
One-Shot Learning as Instruction Data Prospector for Large Language Models	Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Ling-Hao Chen, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin Li	N/A	N/A
Navigating the OverKill in Large Language Models	Chenyu Shi, Xiao Wang, Qiming Ge, Songyang Gao, Xianjun Yang, Tao Gui, Qi Zhang, Xuanjing Huang, Xun Zhao, Dahua Lin	N/A	N/A
Why are Sensitive Functions Hard for Transformers?	Michael Hahn, Mark Rofin	N/A	N/A
A Chain-of-Thought Is as Strong as Its Weakest Link: A Benchmark for Verifiers of Reasoning Chains	Alon Jacovi, Yonatan Bitton, Bernd Bohnet, Jonathan Herzig, Or Honovich, Michael Tseng, Michael Collins, Roee Aharoni, Mor Geva	N/A	N/A
Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision	Qian Ruan, Ilia Kuznetsov, Iryna Gurevych	N/A	N/A
NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents	Tamara Czinczoll, Christoph Hönes, Maximilian Schall, Gerard de Melo	N/A	N/A
FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models	Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang	N/A	N/A
Talk With Human-like Agents: Empathetic Dialogue Through Perceptible Acoustic Reception and Reaction	Haoqiu Yan, Yongxin Zhu, Kai Zheng, Bing Liu, Haoyu Cao, Deqiang Jiang, Linli Xu	N/A	N/A
Learning to Edit: Aligning LLMs with Knowledge Editing	Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang	N/A	N/A
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning	Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai	N/A	N/A
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators	Indraneil Paul, Goran Glavaš, Iryna Gurevych	N/A	N/A
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality	Brielen Madureira, Patrick Kahardipraja, David Schlangen	N/A	N/A
SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language Models	Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych	N/A	N/A
Planning Like Human: A Dual-process Framework for Dialogue Planning	Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Ming Liu, Zerui Chen, Bing Qin	N/A	N/A
Spectral Filters, Dark Signals, and Attention Sinks	Nicola Cancedda	N/A	N/A
DiffuCOMET: Contextual Commonsense Knowledge Diffusion	Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut	N/A	N/A
Systematic Task Exploration with LLMs: A Study in Citation Text Generation	Furkan Şahinuç, Ilia Kuznetsov, Yufang Hou, Iryna Gurevych	N/A	N/A
The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning	Rochelle Choenni, Anne Lauscher, Ekaterina Shutova	N/A	N/A
Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition	Matteo Bortoletto, Constantin Ruhdorfer, Adnen Abdessaied, Lei Shi, Andreas Bulling	N/A	N/A
MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling	Tomasz Limisiewicz, Terra Blevins, Hila Gonen, Orevaoghene Ahia, Luke Zettlemoyer	N/A	N/A
Temporal Knowledge Question Answering via Abstract Reasoning Induction	Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang	N/A	N/A
MultiLegalPile: A 689GB Multilingual Legal Corpus	Joel Niklaus, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho	N/A	N/A
Who Wrote this Code? Watermarking for Code Generation	Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, Gunhee Kim	N/A	N/A
MapCoder: Multi-Agent Code Generation for Competitive Problem Solving	Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez	N/A	N/A
RelayAttention for Efficient Large Language Model Serving with Long System Prompts	Lei Zhu, Xinjiang Wang, Wayne Zhang, Rynson W. H. Lau	N/A	N/A
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting	Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao	N/A	N/A
Open Grounded Planning: Challenges and Benchmark Construction	Shiguang Guo, Ziliang Deng, Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun	N/A	N/A
WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations	Haolin Deng, Chang Wang, Li Xin, Dezhang Yuan, Junlang Zhan, Tian Hua Zhou, Jin Ma, Jun Gao, Ruifeng Xu	N/A	N/A
LLM Knows Body Language, Too: Translating Speech Voices into Human Gestures	Chenghao Xu, Guangtao Lyu, Jiexi Yan, Muli Yang, Cheng Deng	N/A	N/A
QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction	Xiang Huang, Sitao Cheng, Shanshan Huang, Jiayu Shen, Yong Xu, Chaoyun Zhang, Yuzhong Qu	N/A	N/A
PITA: Prompting Task Interaction for Argumentation Mining	Yang Sun, Muyi Wang, Jianzhu Bao, Bin Liang, Xiaoyan Zhao, Caihua Yang, Min Yang, Ruifeng Xu	N/A	N/A
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models	Jinhao Duan, Hao Cheng, Shiqi Wang, Alex Zavalny, Chenan Wang, Renjing Xu, Bhavya Kailkhura, Kaidi Xu	N/A	N/A
Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language Representations	Gregor Geigle, Radu Timofte, Goran Glavaš	N/A	N/A
Estimating Agreement by Chance for Sequence Annotation	Diya Li, Carolyn Rose, Ao Yuan, Chunxiao Zhou	N/A	N/A
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages	Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell	N/A	N/A
Are Emergent Abilities in Large Language Models just In-Context Learning?	Sheng Lu, Irina Bigoulaeva, Rachneet Singh Sachdeva, Harish Tayyar Madabushi, Iryna Gurevych	N/A	N/A
WaveCoder: Widespread And Versatile Enhancement For Code Large Language Models By Instruction Tuning	Zhaojian Yu, Xin Zhang, Ning Shang, Yangyu Huang, Can Xu, Yishujie Zhao, Wenxiang Hu, Qiufeng Yin	N/A	N/A
Eliciting Better Multilingual Structured Reasoning from LLMs through Code	Bryan Li, Tamer Alkhouli, Daniele Bonadiman, Nikolaos Pappas, Saab Mansour	N/A	N/A
OLIVE: Object Level In-Context Visual Embeddings	Timothy Ossowski, Junjie Hu	N/A	N/A
Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness	Jiuhai Chen, Jonas Mueller	N/A	N/A
Marathon: A Race Through the Realm of Long Context with Large Language Models	Lei Zhang, Yunshui Li, Ziqiang Liu, Jiaxi Yang, Junhao Liu, Longze Chen, Run Luo, Min Yang	N/A	N/A
Beyond Scaling: Predicting Patent Approval with Domain-specific Fine-grained Claim Dependency Graph	Xiaochen Kev Gao, Feng Yao, Kewen Zhao, Beilei He, Animesh Kumar, Vish Krishnan, Jingbo Shang	N/A	N/A
PCAD: Towards ASR-Robust Spoken Language Understanding via Prototype Calibration and Asymmetric Decoupling	Xianwei Zhuang, Xuxin Cheng, Liming Liang, Yuxin Xie, Zhichang Wang, Zhiqi Huang, Yuexian Zou	N/A	N/A
Rethinking the Multimodal Correlation of Multimodal Sequential Learning via Generalizable Attentional Results Alignment	Tao Jin, Wang Lin, Ye Wang, Linjun Li, Xize Cheng, Zhou Zhao	N/A	N/A
UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation	Xun Liang, Shichao Song, Simin Niu, Zhiyu li, Feiyu Xiong, Bo Tang, Yezhaohui Wang, Dawei He, Cheng Peng, Zhonghao Wang, Haiying Deng	N/A	N/A
PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers	Weizhe Lin, Jingbiao Mei, Jinghong Chen, Bill Byrne	N/A	N/A
Triple-Encoders: Representations That Fire Together, Wire Together	Justus-Jonas Erker, Florian Mai, Nils Reimers, Gerasimos Spanakis, Iryna Gurevych	N/A	N/A
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning	Jingbiao Mei, Jinghong Chen, Weizhe Lin, Bill Byrne, Marcus Tomalin	N/A	N/A
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization	Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu	N/A	N/A
Tree-Averaging Algorithms for Ensemble-Based Unsupervised Discontinuous Constituency Parsing	Behzad Shayegh, Yuqiao Wen, Lili Mou	N/A	N/A
Your Transformer is Secretly Linear	Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan Oseledets, Denis Dimitrov, Andrey Kuznetsov	N/A	N/A
Noise Correction on Subjective Datasets	Uthman Jinadu, Yi Ding	N/A	N/A
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers	Lütfi Kerem Senel, Besnik Fetahu, Davis Yoshida, Zhiyu Chen, Giuseppe Castellucci, Nikhita Vedula, Jason Ingyu Choi, Shervin Malmasi	N/A	N/A
Instruction-tuned Language Models are Better Knowledge Learners	Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer	N/A	N/A
What Do Language Models Hear? Probing for Auditory Representations in Language Models	Jerry Ngo, Yoon Kim	N/A	N/A
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs	Zae Myung Kim, Kwang Hee Lee, Preston Zhu, Vipul Raheja, Dongyeop Kang	N/A	N/A
Jailbreak Open-Sourced Large Language Models via Enforced Decoding	Hangfan Zhang, Zhimeng Guo, Huaisheng Zhu, Bochuan Cao, Lu Lin, Jinyuan Jia, Jinghui Chen, Dinghao Wu	N/A	N/A
NICE: To Optimize In-Context Examples or Not?	Pragya Srivastava, Satvik Golechha, Amit Deshpande, Amit Sharma	N/A	N/A
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation	Weixiang Yan, Haitian Liu, Yunkun Wang, Yunzhe Li, Qian Chen, Wen Wang, Tingyu Lin, Weishan Zhao, Li Zhu, Hari Sundaram, Shuiguang Deng	N/A	N/A
Digital Socrates: Evaluating LLMs through Explanation Critiques	Yuling Gu, Oyvind Tafjord, Peter Clark	N/A	N/A
SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding	Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran	N/A	N/A
ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMs	Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran	N/A	N/A
Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once?	Guijin Son, SangWon Baek, Sangdae Nam, Ilgyun Jeong, Seungone Kim	N/A	N/A
ChatDev: Communicative Agents for Software Development	Chen Qian, Wei Liu, Hongzhang Liu, Nuo Chen, Yufan Dang, Jiahao Li, Cheng Yang, Weize Chen, Yusheng Su, Xin Cong, Juyuan Xu, dahai li, Zhiyuan Liu, Maosong Sun	N/A	N/A
Experiential Co-Learning of Software-Developing Agents	Chen Qian, Yufan Dang, Jiahao Li, Wei Liu, Zihao Xie, YiFei Wang, Weize Chen, Cheng Yang, Xin Cong, Xiaoyin Che, Zhiyuan Liu, Maosong Sun	N/A	N/A
Learning Geometry-Aware Representations for New Intent Discovery	Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang	N/A	N/A
Speaker Verification in Agent-generated Conversations	Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Ee-Peng Lim	N/A	N/A
Benchmarking Data Science Agents	Yuge Zhang, Qiyang Jiang, XingyuHan, Nan Chen, Yuqing Yang, Kan Ren	N/A	N/A
Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models	Tianyi Tang, Wenyang Luo, Haoyang Huang, Dongdong Zhang, Xiaolei Wang, Xin Zhao, Furu Wei, Ji-Rong Wen	N/A	N/A
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models	Shiwen Ni, Dingwei Chen, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang	N/A	N/A
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques	Megh Thakkar, Quentin Fournier, Matthew D Riemer, Pin-Yu Chen, Amal Zouaq, Payel Das, Sarath Chandar	N/A	N/A
Zero-Shot Cross-Domain Dialogue State Tracking via Dual Low-Rank Adaptation	Xiang Luo, Zhiwen Tang, Jin Wang, Xuejie Zhang	N/A	N/A
PRP-Graph: Pairwise Ranking Prompting to LLMs with Graph Aggregation for Effective Text Re-ranking	Jian Luo, Xuanang Chen, Ben He, Le Sun	N/A	N/A
RepCodec: A Speech Representation Codec for Speech Tokenization	Zhichao Huang, Chutong Meng, Tom Ko	N/A	N/A
Disentangled Learning with Synthetic Parallel Data for Text Style Transfer	Jingxuan Han, Quan Wang, Zikang Guo, Benfeng Xu, Licheng Zhang, Zhendong Mao	N/A	N/A
GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick	Jiayi Fu, Xuandong Zhao, Ruihan Yang, Yuansen Zhang, Jiangjie Chen, Yanghua Xiao	N/A	N/A
PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety	Zaibin Zhang, Yongting Zhang, Lijun Li, Jing Shao, Hongzhi Gao, Yu Qiao, Lijun Wang, Huchuan Lu, Feng Zhao	N/A	N/A
Event-Radar: Event-driven Multi-View Learning for Multimodal Fake News Detection	Zihan Ma, Minnan Luo, Hao Guo, Zhi Zeng, Yiran Hao, Xiang Zhao	N/A	N/A
Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions	Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou	N/A	N/A
Stealthy Attack on Large Language Model based Recommendation	Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang	N/A	N/A
Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning	Sangwon Ryu, Heejin Do, Yunsu Kim, Gary Lee, Jungseul Ok	N/A	N/A
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models	Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li	N/A	N/A
SEER: Facilitating Structured Reasoning and Explanation via Reinforcement Learning	Guoxin Chen, kexin Tang, Chao Yang, Fuying Ye, Yu Qiao, Yiming Qian	N/A	N/A
Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning	Yeachan Kim, Junho Kim, SangKeun Lee	N/A	N/A
SparseFlow: Accelerating Transformers by Sparsifying Information Flows	Yeachan Kim, SangKeun Lee	N/A	N/A
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding	Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua	N/A	N/A
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models	Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang	N/A	N/A
EmoBench: Evaluating the Emotional Intelligence of Large Language Models	Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna Shiergetya Sunaryo, Tatia M.C. Lee, Rada Mihalcea, Minlie Huang	N/A	N/A
Can Large Language Models be Good Emotional Supporter? Mitigating Preference Bias on Emotional Support Conversation	Dongjin Kang, Sunghwan Kim, Taeyoon Kwon, Seungjun Moon, Hyunsouk Cho, Youngjae Yu, Dongha Lee, Jinyoung Yeo	N/A	N/A
Are AI-Generated Text Detectors Robust to Adversarial Perturbations?	Guanhua Huang, Yuchen Zhang, Zhe Li, Yongjian You, Mingze Wang, Zhouwang Yang	N/A	N/A
FinTextQA: A Dataset for Long-form Financial Question Answering	Jian Chen, Peilin Zhou, Yining Hua, Loh Ying Xin, Kehui chen, Ziyuan Li, Bing Zhu, Junwei Liang	N/A	N/A
On Measuring Faithfulness or Self-consistency of Natural Language Explanations	Letitia Parcalabescu, Anette Frank	N/A	N/A
$\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens	Xinrong Zhang, Yingfa Chen, Shengding Hu, Zihang Xu, Junhao Chen, Moo Khai Hao, Xu Han, Zhen Leng Thai, Shuo Wang, Zhiyuan Liu, Maosong Sun	N/A	N/A
Learning or Self-aligning? Rethinking Instruction Fine-tuning	Mengjie Ren, Boxi Cao, Hongyu Lin, Cao Liu, Xianpei Han, Ke Zeng, Wan Guanglu, Xunliang Cai, Le Sun	N/A	N/A
Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?	Qineng Wang, Zihao Wang, Ying Su, Hanghang Tong, Yangqiu Song	N/A	N/A
Soft Knowledge Prompt: Help External Knowledge Become a Better Teacher to Instruct LLM in Knowledge-based VQA	Qunbo Wang, Ruyi Ji, Tianhao Peng, Wenjun Wu, Zechao Li, Jing Liu	N/A	N/A
TasTe: Teaching Large Language Models to Translate through Self-Reflection	Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang	N/A	N/A
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models	Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li	N/A	N/A
Natural Language Satisfiability: Exploring the Problem Distribution and Evaluating Transformer-based Language Models	Tharindu Madusanka, Ian Pratt-Hartmann, Riza Batista-Navarro	N/A	N/A
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion	Wei Li, Xue Xu, Jiachen Liu, Xinyan Xiao	N/A	N/A
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities	David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran	N/A	N/A
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models	Paul Röttger, Valentin Hofmann, Valentina Pyatkin, Musashi Hinck, Hannah Rose Kirk, Hinrich Schuetze, Dirk Hovy	N/A	N/A
AI ‘News’ Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian	Giovanni Puccetti, Anna Rogers, Chiara Alzetta, Felice Dell’Orletta, Andrea Esuli	N/A	N/A
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?	Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng	N/A	N/A
Unveiling Linguistic Regions in Large Language Models	Zhihao Zhang, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
Text-to-Song: Towards Controllable Music Generation Incorporating Vocal and Accompaniment	Zhiqing Hong, Rongjie Huang, Xize Cheng, Yongqi Wang, Ruiqi Li, Fuming You, Zhou Zhao, Zhimeng Zhang	N/A	N/A
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection	Yufei Huang, Xu Han, Maosong Sun	N/A	N/A
Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations	Yisong Miao, Hongfu Liu, Wenqiang Lei, Nancy F. Chen, Min-Yen Kan	N/A	N/A
An Open Multilingual System for Scoring Readability of Wikipedia	Mykola Trokhymovych, Indira Sen, Martin Gerlach	N/A	N/A
Unlearning Traces the Influential Training Data of Language Models	Masaru Isonuma, Ivan Titov	N/A	N/A
Exploring Alignment in Shared Cross-lingual Spaces	Basel Mousi, Nadir Durrani, Fahim Dalvi, Majd Hawasly, Ahmed Abdelali	N/A	N/A
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models	Wenxuan Wang, Wenxiang Jiao, Jingyuan Huang, Ruyi Dai, Jen-tse Huang, Zhaopeng Tu, Michael Lyu	N/A	N/A
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner	Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin	N/A	N/A
WRP: Weight Recover Prune for Structured Sparsity	Zhendong Tan, Xingjun Zhang, Zheng Wei	N/A	N/A
Error-preserving Automatic Speech Recognition of Young English Learners’ Language	Janick Michot, Manuela Hürlimann, Jan Milan Deriu, Luzia Sauer, Katsiaryna Mlynchyk, Mark Cieliebak	N/A	N/A
DiFiNet: Boundary-Aware Semantic Differentiation and Filtration Network for Nested Named Entity Recognition	Yuxiang Cai, Qiao Liu, Yanglei Gan, Run Lin, Changlin Li, Xueyi Liu, Da Luo, JiayeYang	N/A	N/A
Legal Case Retrieval: A Survey of the State of the Art	Yi Feng, Chuanyi Li, Vincent Ng	N/A	N/A
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models	Mosh Levy, Alon Jacoby, Yoav Goldberg	N/A	N/A
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation	Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao	N/A	N/A
LLaMA Pro: Progressive LLaMA with Block Expansion	Chengyue Wu, Yukang Gan, Yixiao Ge, Zeyu Lu, Jiahao Wang, Ye Feng, Ying Shan, Ping Luo	N/A	N/A
Generating Contrastive Narratives Using the Brownian Bridge Process for Narrative Coherence Learning	Feiteng Mu, Wenjie Li	N/A	N/A
A Causal Approach for Counterfactual Reasoning in Narratives	Feiteng Mu, Wenjie Li	N/A	N/A
SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation	Matthias Lindemann, Alexander Koller, Ivan Titov	N/A	N/A
The Hidden Space of Transformer Language Adapters	Jesujoba Oluwadara Alabi, Marius Mosbach, Matan Eyal, Dietrich Klakow, Mor Geva	N/A	N/A
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts	Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Robert Moro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee	N/A	N/A
Advancing Large Language Models to Capture Varied Speaking Styles and Respond Properly in Spoken Conversations	Guan-Ting Lin, Cheng-Han Chiang, Hung-yi Lee	N/A	N/A
RetinaQA: A Robust Knowledge Base Question Answering Model for both Answerable and Unanswerable Questions	Prayushi Faldu, Indrajit Bhattacharya, Mausam .	N/A	N/A
GroundingGPT: Language Enhanced Multi-modal Grounding Model	Zhaowei Li, Xu Qi, Dong Zhang, Hang Song, YiQing Cai, Qi Qi, Ran Zhou, Junting Pan, Zefeng Li, Vu Van Tu, Zhida Huang, Tao Wang	N/A	N/A
Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches	Islam Eldifrawi, Shengrui Wang, Amine Trabelsi	N/A	N/A
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages	Carlos Mullov, Quan Pham, Alexander Waibel	N/A	N/A
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget	Rui Kong, Yuanchun Li, qingtian feng, Weijun Wang, Xiaozhou Ye, Ye Ouyang, Linghe Kong, Yunxin Liu	N/A	N/A
PixT3: Pixel-based Table-To-Text Generation	Iñigo Alonso, Eneko Agirre, Mirella Lapata	N/A	N/A
Narrowing the Knowledge Evaluation Gap: Open-Domain Question Answering with Multi-Granularity Answers	Gal Yona, Roee Aharoni, Mor Geva	N/A	N/A
TAMS: Translation-Assisted Morphological Segmentation	Enora Rice, Ali Marashian, Luke Gessler, Alexis Palmer, Katharina von der Wense	N/A	N/A
Disambiguate Words like Composing Them: A Morphology-Informed Approach to Enhance Chinese Word Sense Disambiguation	Yue Wang, Qiliang Liang, Yaqi Yin, Hansi Wang, Yang Liu	N/A	N/A
XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval	Mohammad Abdullah Matin Khan, M Saiful Bari, Do Xuan Long, Weishi Wang, Md Rizwan Parvez, Shafiq Joty	N/A	N/A
ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models	Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song	N/A	N/A
A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia	Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, Emre Kiciman, Hamid Palangi, Barun Patra, Robert West	N/A	N/A
Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA	Yue Fan, Jing Gu, Kaiwen Zhou, Qianqi Yan, Shan Jiang, Ching-Chen Kuo, Yang Zhao, Xinze Guan, Xin Eric Wang	N/A	N/A
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models	Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu	N/A	N/A
Translation-based Lexicalization Generation and Lexical Gap Detection: Application to Kinship Terms	Senyu Li, Bradley Hauer, Ning Shi, Grzegorz Kondrak	N/A	N/A
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations	Ritam Dutt, Zhen Wu, Jiaxin Shi, Divyanshu Sheth, Prakhar Gupta, Carolyn Rose	N/A	N/A
Robust Frame-Semantic Models with Lexical Unit Trees and Negative Samples	Jacob Devasier, Yogesh Gurjar, Chengkai Li	N/A	N/A
Do Llamas Work in English? On the Latent Language of Multilingual Transformers	Chris Wendler, Veniamin Veselovsky, Giovanni Monea, Robert West	N/A	N/A
Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation	Yuan Yang, Siheng Xiong, Ali Payani, Ehsan Shareghi, Faramarz Fekri	N/A	N/A
Lightweight reranking for language model generations	Siddhartha Jain, Xiaofei Ma, Anoop Deoras, Bing Xiang	N/A	N/A
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews	Mike D’Arcy, Alexis Ross, Erin Bransom, Bailey Kuehl, Jonathan Bragg, Tom Hope, Doug Downey	N/A	N/A
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks	Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe	N/A	N/A
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning	Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri	N/A	N/A
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning	Inderjeet Jayakumar Nair, Lu Wang	N/A	N/A
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs	Justin Chen, Swarnadeep Saha, Mohit Bansal	N/A	N/A
Mirror: Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning	Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, Yulan He	N/A	N/A
Where Do People Tell Stories Online? Story Detection Across Online Communities	Maria Antoniak, Joel Mire, Maarten Sap, Elliott Ash, Andrew Piper	N/A	N/A
Large Language Models Are No Longer Shallow Parsers	Yuanhe Tian, Fei Xia, Yan Song	N/A	N/A
Dialogue Summarization with Mixture of Experts based on Large Language Models	Yuanhe Tian, Fei Xia, Yan Song	N/A	N/A
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences	Yuanhe Tian, Ruyi Gan, Yan Song, Jiaxing Zhang, Yongdong Zhang	N/A	N/A
An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs	Daking Rai, Ziyu Yao	N/A	N/A
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling	Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb Roy, Jad Kabbara	N/A	N/A
Intrinsic Task-based Evaluation for Referring Expression Generation	Guanyi Chen, Fahime Same, Kees Van Deemter	N/A	N/A
From Moments to Milestones: Incremental Timeline Summarization Leveraging Large Language Models	Qisheng Hu, Geonsik Moon, Hwee Tou Ng	N/A	N/A
End-to-end Learning of Logical Rules for Enhancing Document-level Relation Extraction	Kunxun Qi, Jianfeng Du, Hai Wan	N/A	N/A
Can We Achieve High-quality Direct Speech-to-Speech Translation without Parallel Speech Data?	Qingkai Fang, Shaolei Zhang, Zhengrui Ma, Min zhang, Yang Feng	N/A	N/A
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder	Jiaqi Wang, Zhenxi Song, Zhengyu Ma, Xipeng Qiu, Min zhang, Zhiguo Zhang	N/A	N/A
G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation	Xingyuan Pan, Luyang Huang, Liyan Kang, Zhicheng Liu, Yu Lu, Shanbo Cheng	N/A	N/A
CQIL: Inference Latency Optimization with Concurrent Computation of Quasi-Independent Layers	Longwei Zou, Qingyang Wang, Han Zhao, jiangangkong, YI YANG, Yangdong Deng	N/A	N/A
Prompt Optimization via Adversarial In-Context Learning	Do Xuan Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He	N/A	N/A
StreamVoice: Streamable Context-Aware Language Modeling for Real-time Zero-Shot Voice Conversion	Zhichao Wang, Yuanzhe Chen, Xinsheng Wang, Lei Xie, Yuping Wang	N/A	N/A
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering	Zhengliang Shi, Shuo Zhang, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren	N/A	N/A
Multimodal Contextualized Semantic Parsing from Speech	Jordan Voas, David Harwath, Ray Mooney	N/A	N/A
LaMP: When Large Language Models Meet Personalization	Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani	N/A	N/A
AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters	Li Lucy, Suchin Gururangan, Luca Soldaini, Emma Strubell, David Bamman, Lauren Klein, Jesse Dodge	N/A	N/A
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues	Ge Bai, Jie Liu, Xingyuan Bu, yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang	N/A	N/A
EFSA: Towards Event-Level Financial Sentiment Analysis	Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao	N/A	N/A
Media Framing: A typology and Survey of Computational Approaches Across Disciplines	Yulia Otmakhova, Shima Khanehzar, Lea Frermann	N/A	N/A
What Evidence Do Language Models Find Convincing?	Alexander Wan, Eric Wallace, Dan Klein	N/A	N/A
Advancement in Graph Understanding: A Multimodal Benchmark and Fine-Tuning of Vision-Language Models	Qihang Ai, Jiafan Li, Jincheng Dai, Jianwu Zhou, Lemao Liu, Haiyun Jiang, Shuming Shi	N/A	N/A
LangBridge: Multilingual Reasoning Without Multilingual Supervision	Dongkeun Yoon, Joel Jang, Sungdong Kim, Seungone Kim, Sheikh Shafayat, Minjoon Seo	N/A	N/A
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs	Siyuan Wang, zhongyu wei, Yejin Choi, Xiang Ren	N/A	N/A
SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving	Xueliang Zhao, Xinting Huang, Wei Bi, Lingpeng Kong	N/A	N/A
Unlocking the Power of Large Language Models for Entity Alignment	Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang	N/A	N/A
SPZ: A Semantic Perturbation-based Data Augmentation Method with Zonal-Mixing for Alzheimer’s Disease Detection	FangFang Li, Cheng Huang, PuZhen Su, Jie Yin	N/A	N/A
Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents	Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin	N/A	N/A
ReFT: Reasoning with Reinforced Fine-Tuning	Luong Quoc Trung, Xinbo Zhang, Zhanming Jie, peng sun, Xiaoran Jin, Hang Li	N/A	N/A
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment	yunxin li, Xinyu Chen, Baotian Hu, Haoyuan Shi, Min Zhang	N/A	N/A
FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text Generation	Zijian Feng, Hanzhang Zhou, Kezhi Mao, Zixiao Zhu	N/A	N/A
HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition	Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang	N/A	N/A
Conundrums in Cross-Prompt Automated Essay Scoring: Making Sense of the State of the Art	Shengjie Li, Vincent Ng	N/A	N/A
Angry Men, Sad Women: Large Language Models Reflect Gendered Stereotypes in Emotion Attribution	Flor Miriam Plaza-del-Arco, Amanda Cercas Curry, Alba Cercas Curry, Gavin Abercrombie, Dirk Hovy	N/A	N/A
Label Augmentation for Zero-Shot Hierarchical Text Classification	Lorenzo Paletto, Valerio Basile, Roberto Esposito	N/A	N/A
STICKERCONV: Generating Multimodal Empathetic Responses from Scratch	Yiqun Zhang, Fanheng Kong, Peidong Wang, Shuang Sun, SWangLing, Shi Feng, Daling Wang, Yifei Zhang, Kaisong Song	N/A	N/A
EIT: Enhanced Interactive Transformer	Tong Zheng, Bei Li, Huiwen Bao, Tong Xiao, JingBo Zhu	N/A	N/A
MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs	Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr	N/A	N/A
EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models	Rocktim Jyoti Das, Simeon Emilov Hristov, Haonan Li, Dimitar Iliyanov Dimitrov, Ivan Koychev, Preslav Nakov	N/A	N/A
Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition	Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing	N/A	N/A
Text Embedding Inversion Security for Multilingual Language Models	Yiyi Chen, Heather Lent, Johannes Bjerva	N/A	N/A
Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-Alignment	Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou	N/A	N/A
Calibrating Large Language Models Using Their Generations Only	Dennis Thomas Ulmer, Martin Gubri, Hwaran Lee, Sangdoo Yun, Seong Joon Oh	N/A	N/A
PlatoLM: Teaching LLMs in Multi-Round Dialogue via a User Simulator	Chuyi Kong, Yaxin FAN, Xiang Wan, Feng Jiang, Benyou Wang	N/A	N/A
Synthesizing Text-to-SQL Data from Weak and Strong LLMs	Jiaxi Yang, Binyuan Hui, Min Yang, Jian Yang, Junyang Lin, Chang Zhou	N/A	N/A
Iterative Forward Tuning Boosts In-Context Learning in Language Models	Jiaxi Yang, Binyuan Hui, Min Yang, Bailin Wang, Bowen Li, Binhua Li, Fei Huang, Yongbin Li	N/A	N/A
STRUCTSUM Generation for Faster Text Comprehension	Parag Jain, Andreea Marzoca, Francesco Piccinno	N/A	N/A
Analysing The Impact of Sequence Composition on Language Model Pre-Training	Yu Zhao, Yuanbin Qu, Konrad Staniszewski, Szymon Tworkowski, Wei Liu, Piotr Miłoś, Yuxiang Wu, Pasquale Minervini	N/A	N/A
NACL: A General and Effective KV Cache Eviction Framework for LLM at Inference Time	Yilong Chen, Guoxia Wang, Junyuan Shang, Shiyao Cui, Zhenyu Zhang, Tingwen Liu, Shuohuan Wang, Yu Sun, Dianhai Yu, Hua Wu	N/A	N/A
SpikeVoice: High-Quality Text-to-Speech Via Efficient Spiking Neural Network	Kexin Wang, Jiahong Zhang, Yong Ren, Man Yao, Di Shang, Bo XU, Guoqi Li	N/A	N/A
Context-aware Difference Distilling for Multi-change Captioning	Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Chenggang Yan, Qingming Huang	N/A	N/A
Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion	Wei Cheng, Yuhan Wu, Wei Hu	N/A	N/A
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation	Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua	N/A	N/A
LLMEmbed: Rethinking Lightweight LLM’s Genuine Function in Text Classification	ChunLiu, Hongguang Zhang, Kainan Zhao, Xinghai Ju, Lin Yang	N/A	N/A
LEMON: Reviving Stronger and Smaller LMs from Larger LMs with Linear Parameter Fusion	Yilong Chen, Junyuan Shang, Zhenyu Zhang, Shiyao Cui, Tingwen Liu, Shuohuan Wang, Yu Sun, Hua Wu	N/A	N/A
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation	Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang	N/A	N/A
To be Continuous, or to be Discrete, Those are Bits of Questions	Yiran Wang, Masao Utiyama	N/A	N/A
Moûsai: Efficient Text-to-Music Diffusion Models	Flavio Schneider, Ojasv Kamal, Zhijing Jin, Bernhard Schölkopf	N/A	N/A
PokeMQA: Programmable knowledge editing for Multi-hop Question Answering	Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang	N/A	N/A
MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention	Prince Jha, Raghav Jain, Konika Mandal, Aman Chadha, Sriparna Saha, Pushpak Bhattacharyya	N/A	N/A
Efficient OCR for Building a Diverse Digital History	Jacob Carlson, Tom Bryan, Melissa Dell	N/A	N/A
Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space	Zongru Wu, Zhuosheng Zhang, Pengzhou Cheng, Gongshen Liu	N/A	N/A
ANAH: Analytical Annotation of Hallucinations in Large Language Models	Ziwei Ji, Yuzhe Gu, Wenwei Zhang, Chengqi Lyu, Dahua Lin, Kai Chen	N/A	N/A
Aligning Large Language Models for Controllable Recommendations	Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie	N/A	N/A
Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods	Haeun Yu, Pepa Atanasova, Isabelle Augenstein	N/A	N/A
Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement	Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Yang Wang	N/A	N/A
Full Parameter Fine-tuning for Large Language Models with Limited Resources	Kai Lv, Yuqing Yang, Tengxiao Liu, Qipeng Guo, Xipeng Qiu	N/A	N/A
M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought	Qiguang Chen, Libo Qin, Jin Zhang, Zhi Chen, Xiao Xu, Wanxiang Che	N/A	N/A
Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models	Longze Chen, Ziqiang Liu, Wanwei He, Yinhe Zheng, Hao Sun, Yunshui Li, Run Luo, Min Yang	N/A	N/A
Label-Synchronous Neural Transducer for E2E Simultaneous Speech Translation	Keqi Deng, Phil Woodland	N/A	N/A
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL	Yunseon Choi, Sangmin Bae, Seonghyun Ban, Minchan Jeong, Chuheng Zhang, Lei Song, Li Zhao, Jiang Bian, Kee-Eung Kim	N/A	N/A
A Modular Approach for Multimodal Summarization of TV Shows	Louis Mahon, Mirella Lapata	N/A	N/A
Think Twice: Perspective-Taking Improves Large Language Models’ Theory-of-Mind Capabilities	Alex Wilf, Sihyun Shawn Lee, Paul Pu Liang, Louis-Philippe Morency	N/A	N/A
BizBench: A Quantitative Reasoning Benchmark for Business and Finance	Michael Krumdick, Rik Koncel-Kedziorski, Viet Dac Lai, Varshini Reddy, Charles Lovering, Chris Tanner	N/A	N/A
Direct Metric Optimization for Image Captioning through Reward-Weighted Augmented Data Utilization	Takumi Takada, Yuma Suzuki, Hiroki Takushima, Hayato Tanoue, Haruki Sato, Aiswariya Manoj Kumar, Hiroki Nishihara, Takayuki Hori, Kazuya Ueki	N/A	N/A
Deciphering Hate: Identifying Hateful Memes and Their Targets	Eftekhar Hossain, Omar Sharif, Mohammed Moshiul Hoque, Sarah Masud Preum	N/A	N/A
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings	Yichen Jiang, Xiang Zhou, Mohit Bansal	N/A	N/A
Label-Efficient Model Selection for Text Generation	Shir Ashury Tahan, Ariel Gera, Benjamin Sznajder, Leshem Choshen, Liat Ein-Dor, Eyal Shnarch	N/A	N/A
Machine Unlearning of Pre-trained Large Language Models	Jin Yao, Eli Chien, Minxin Du, Xinyao Niu, Tianhao Wang, Zezhou Cheng, Xiang Yue	N/A	N/A
Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals	Francesco Ortu, Zhijing Jin, Diego Doimo, Mrinmaya Sachan, Alberto Cazzaniga, Bernhard Schölkopf	N/A	N/A
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence	Sebastian Antony Joseph, Lily Chen, Jan Trienes, Hannah Louisa Göke, Monika Coers, Wei Xu, Byron C Wallace, Junyi Jessy Li	N/A	N/A
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction	Yinhao Bai, Yalan Xie, Xiaoyi Liu, Yuhua Zhao, Zhixin Han, Mengting Hu, Hang Gao, Renhong Cheng	N/A	N/A
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack	Yu Fu, Yufei Li, Wen Xiao, Cong Liu, Yue Dong	N/A	N/A
Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn’t	Chihiro Taguchi, David Chiang	N/A	N/A
Speech language models lack important brain-relevant semantics	SUBBA REDDY OOTA, Emin Çelik, Fatma Deniz, Mariya Toneva	N/A	N/A
DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding	Dongsheng Wang, Natraj Raman, Mathieu Sibue, Zhiqiang Ma, Petr Babkin, Simerjot Kaur, Yulong Pei, Armineh Nourbakhsh, Xiaomo Liu	N/A	N/A
Bypassing LLM Watermarks with Color-Aware Substitutions	Qilong Wu, Varun Chandrasekaran	N/A	N/A
Parallel Structures in Pre-training Data Yield In-Context Learning	Yanda Chen, Chen Zhao, Zhou Yu, Kathleen McKeown, He He	N/A	N/A
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models	Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He	N/A	N/A
Towards Privacy-Aware Sign Language Translation at Scale	Phillip Rust, Bowen Shi, Skyler Wang, Necati Cihan Camgoz, Jean Maillard	N/A	N/A
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards	Haoxiang Wang, Yong Lin, Wei Xiong, Rui Yang, Shizhe Diao, Shuang Qiu, Han Zhao, Tong Zhang	N/A	N/A
Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters	Yinghui Li, Zishan Xu, Shaoshen Chen, Haojing Huang, Yangning Li, Shirong Ma, Yong Jiang, Zhongli Li, Qingyu Zhou, Hai-Tao Zheng, Ying Shen	N/A	N/A
Steering Llama 2 via Contrastive Activation Addition	Nina Rimsky, Nick Gabrieli, Julian Schulz, Meg Tong, Evan J Hubinger, Alexander Matt Turner	N/A	N/A
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations	Jing Huang, Zhengxuan Wu, Christopher Potts, Mor Geva, Atticus Geiger	N/A	N/A
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling	Zekun Li, Zhiyu Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Luna Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook	N/A	N/A
Faithful Chart Summarization with ChaTS-Pi	Syrine Krichene, Francesco Piccinno, Fangyu Liu, Julian Martin Eisenschlos	N/A	N/A
Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation	Cheng Niu, Xingguang Wang, Xuxin Cheng, Juntong Song, Tong Zhang	N/A	N/A
MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking	Ting-Chih Chen, Chia-Wei Tang, Chris Thomas	N/A	N/A
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction	Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, lixiang, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng	N/A	N/A
ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis	Yanming Liu, Xinyue Peng, Tianyu Du, Jianwei Yin, Weihao Liu, Xuhong Zhang	N/A	N/A
EconAgent: Large Language Model-Empowered Agents for Simulating Macroeconomic Activities	Nian Li, Chen Gao, Mingyu Li, Yong Li, Qingmin Liao	N/A	N/A
On the Multi-turn Instruction Following for Conversational Web Agents	Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua	N/A	N/A
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents	Shihan Deng, Weikai Xu, Hongda Sun, Wei Liu, Tao Tan, Liujianfeng, Ang Li, Jian Luan, Bin Wang, Rui Yan, Shuo Shang	N/A	N/A
MC$^2$: Towards Transparent and Culturally-Aware NLP for Minority Languages in China	Chen Zhang, Mingxu Tao, Quzhe Huang, Jiuheng Lin, Zhibin Chen, Yansong Feng	N/A	N/A
Decoder-only Streaming Transformer for Simultaneous Translation	Shoutao Guo, Shaolei Zhang, Yang Feng	N/A	N/A
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization	Zhexin Zhang, Junxiao Yang, Pei Ke, Fei Mi, Hongning Wang, Minlie Huang	N/A	N/A
I am a Strange Dataset: Metalinguistic Tests for Language Models	Tristan Thrush, Jared Moore, Miguel Monares, Christopher Potts, Douwe Kiela	N/A	N/A
SafetyBench: Evaluating the Safety of Large Language Models	Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang	N/A	N/A
Deciphering Oracle Bone Language with Diffusion Models	Haisu Guan, Huanxin Yang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu	N/A	N/A
TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space	Shaolei Zhang, Tian Yu, Yang Feng	N/A	N/A
ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training	Le Zhuo, Zewen Chi, Minghao Xu, Heyan Huang, Jianan Zhao, Heqi Zheng, Conghui He, Xian-Ling Mao, Wentao Zhang	N/A	N/A
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning	Shaolei Zhang, Qingkai Fang, Shoutao Guo, Zhengrui Ma, Min zhang, Yang Feng	N/A	N/A
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models	Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu	N/A	N/A
Why Don’t Prompt-Based Fairness Metrics Correlate?	Abdelrahman Zayed, Goncalo Mordido, Ioana Baldini, Sarath Chandar	N/A	N/A
NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using Representative Data	Manuel Tonneau, Pedro Vitor Quinta de Castro, Karim Lasri, Ibrahim Sambo Farouq, Lakshmi Subramanian, Victor Orozco-Olvera, Samuel Fraiberger	N/A	N/A
M$^3$AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset	Zhe Chen, Heyang Liu, Wenyi Yu, Guangzhi Sun, Hongcheng Liu, Ji Wu, Chao Zhang, Yu Wang, Yanfeng Wang	N/A	N/A
Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination	Nakyeong Yang, Taegwan Kang, Stanley Jungkyu Choi, Honglak Lee, Kyomin Jung	N/A	N/A
Domain Adaptation for Subjective Induction Questions Answering on Products by Adversarial Disentangled Learning	Yufeng Zhang, Jianxing Yu, Yanghui Rao, Libin Zheng, Qinliang Su, Huaijie Zhu, Jian Yin	N/A	N/A
Revisiting Demonstration Selection Strategies in In-Context Learning	Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao	N/A	N/A
Multimodal Table Understanding	Mingyu Zheng, Xinwei Feng, Qingyi Si, Qiaoqiao She, Zheng Lin, Wenbin Jiang, Weiping Wang	N/A	N/A
Ex\textsuperscript{3}: Automatic Novel Writing by Extracting, Excelsior and Expanding	Huang Lei, Jiaming Guo, Guanhua He, Xishan Zhang, Rui Zhang, Shaohui Peng, Shaoli Liu, Tianshi Chen	N/A	N/A
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning	Mayur Patidar, Riya Sawhney, Avinash Kumar Singh, Biswajit Chatterjee, Mausam ., Indrajit Bhattacharya	N/A	N/A
WatME: Towards Lossless Watermarking Through Lexical Redundancy	Liang CHEN, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong	N/A	N/A
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation	Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He	N/A	N/A
MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception	Yuhao Wang, Yusheng Liao, Heyang Liu, Hongcheng Liu, Yanfeng Wang, Yu Wang	N/A	N/A
Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning	Jiachun Li, Pengfei Cao, Chenhao Wang, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao	N/A	N/A
Multi-Aspect Controllable Text Generation with Disentangled Counterfactual Augmentation	Yi Liu, Xiangyu Liu, Xiangrong Zhu, Wei Hu	N/A	N/A
M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models	Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Yuxin Jiang, Lifeng Shang, Qun Liu, Kam-Fai Wong	N/A	N/A
Reward-based Input Construction for Cross-document Relation Extraction	Byeonghu Na, Suhyeon Jo, Yeongmin Kim, Il-chul Moon	N/A	N/A
Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction	Guangjun Zhang, Hu zhang, YuJie Wang, Ru Li, Hongye Tan, Jiye Liang	N/A	N/A
Understanding Retrieval Robustness for Retrieval-augmented Image Captioning	Wenyan Li, Jiaang Li, Rita Ramos, Raphael Tang, Desmond Elliott	N/A	N/A
Semi-Supervised Spoken Language Glossification	Huijie Yao, Wengang Zhou, Hao Zhou, Houqiang Li	N/A	N/A
SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents	Kanzhi Cheng, Qiushi Sun, Yougang Chu, Fangzhi Xu, Li YanTao, Jianbing Zhang, Zhiyong Wu	N/A	N/A
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers	Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein	N/A	N/A
F-Eval: Asssessing Fundamental Abilities with Refined Evaluation Methods	Yu Sun, keyuchen, Shujie Wang, Peiji Li, Qipeng Guo, Hang Yan, Xipeng Qiu, Xuanjing Huang, Dahua Lin	N/A	N/A
Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning	Philipp Mondorf, Barbara Plank	N/A	N/A
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback	Maria Emilia Agis Lerner, Florian E. Dorner, Elliott Ash, Naman Goel	N/A	N/A
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations	Peiyi Wang, Lei Li, Zhihong Shao, Runxin Xu, Damai Dai, Yifei Li, Deli Chen, Yu Wu, Zhifang Sui	N/A	N/A
Large Language Models are not Fair Evaluators	Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui	N/A	N/A
Improving Large Language Models in Event Relation Logical Prediction	Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li	N/A	N/A
Synchronized Video Storytelling: Generating Video Narrations with Structured Storyline	Dingyi Yang, Chunru Zhan, Ziheng Wang, Biao Wang, Tiezheng Ge, Bo Zheng, Qin Jin	N/A	N/A
Fine-Grained Image-Text Alignment in Medical Imaging Enables Explainable Cyclic Image-Report Generation	Wenting Chen, Linlin Shen, Jingyang Lin, Jiebo Luo, Xiang Li, Yixuan Yuan	N/A	N/A
T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step	Zehui Chen, Weihua Du, Wenwei Zhang, Kuikun Liu, Jiangning Liu, Miao Zheng, Jingming Zhuo, Songyang Zhang, Dahua Lin, Kai Chen, Feng Zhao	N/A	N/A
Are LLM-based Evaluators Confusing NLG Quality Criteria?	Xinyu Hu, Mingqi Gao, Sen Hu, Yang Zhang, Yicheng Chen, TENG XU, Xiaojun Wan	N/A	N/A
Synergistic Interplay between Search and Large Language Models for Information Retrieval	Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang	N/A	N/A
Linear Transformers with Learnable Kernel Functions are Better In-Context Models	Yaroslav Aksenov, Nikita Balagansky, Sofia Maria Lo Cicero Vaina, Boris Shaposhnikov, Alexey Gorbatovski, Daniil Gavrilov	N/A	N/A
Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the “right reasons”?	Tong Liu, Iza Škrjanec, Vera Demberg	N/A	N/A
Beyond Recognising Entailment: Formalising Natural Language Inference from an Argumentative Perspective	Ameer Saadat-Yazdi, Nadin Kökciyan	N/A	N/A
RomanSetu: Efficiently unlocking multilingual capabilities of Large Language Models via Romanization	Jaavid Aktar Husain J, Raj Dabre, Aswanth Kumar M, Jay Gala, Thanmay Jayakumar, Ratish Puduppully, Anoop Kunchukuttan	N/A	N/A
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling	Jun Zhan, Junqi Dai, Jiasheng Ye, Yunhua Zhou, Dong Zhang, Zhigeng Liu, Xin Zhang, Ruibin Yuan, Ge Zhang, Linyang Li, Hang Yan, Jie Fu, Tao Gui, Tianxiang Sun, Yu-Gang Jiang, Xipeng Qiu	N/A	N/A
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models	Zixin Chen, Hongzhan Lin, Ziyang Luo, Mingfei Cheng, Jing Ma, Guang Chen	N/A	N/A
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation	Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen	N/A	N/A
Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines	Michael Toker, Hadas Orgad, Mor Ventura, Dana Arad, Yonatan Belinkov	N/A	N/A
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models	Yuchong Sun, Che Liu, Kun Zhou, Jinwen Huang, Ruihua Song, Xin Zhao, Fuzheng Zhang, Di ZHANG, Kun Gai	N/A	N/A
Robust Singing Voice Transcription Serves Synthesis	Ruiqi Li, Yu Zhang, Yongqi Wang, Zhiqing Hong, Rongjie Huang, Zhou Zhao	N/A	N/A
VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model	Tianyu Chen, Lin Li, ZhuLiuchuan, Zongyang Li, Xueqing Liu, Guangtai Liang, Qianxiang Wang, Tao Xie	N/A	N/A
Self-Modifying State Modeling for Simultaneous Machine Translation	Donglei Yu, Xiaomian Kang, Yuchen Liu, Yu Zhou, Chengqing Zong	N/A	N/A
MapGPT: Map-Guided Prompting with Adaptive Path Planning for Vision-and-Language Navigation	Jiaqi Chen, Bingqian Lin, Ran Xu, Zhenhua Chai, Xiaodan Liang, Kwan-Yee K. Wong	N/A	N/A
BadAgent: Inserting and Activating Backdoor Attacks in LLM Agents	Yifei Wang, Dizhan Xue, Shengjie Zhang, Shengsheng Qian	N/A	N/A
DetermLR: Augmenting LLM-based Logical Reasoning from Indeterminacy to Determinacy	Hongda Sun, Weikai Xu, Wei Liu, Jian Luan, Bin Wang, Shuo Shang, Ji-Rong Wen, Rui Yan	N/A	N/A
LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent	Robert Mahari, Dominik Stammbach, Elliott Ash, Alex Pentland	N/A	N/A
To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering	Giacomo Frisoni, Alessio Cocchieri, Alex Presepi, Gianluca Moro, Zaiqiao Meng	N/A	N/A
MERA: A Comprehensive LLM Evaluation in Russian	Alena Fenogenova, Artem Chervyakov, Nikita Martynov, Anastasia Kozlova, Maria Tikhonova, Albina Akhmetgareeva, Anton Emelyanov, Denis Shevelev, Pavel Lebedev, Leonid S Sinev, Ulyana Isaeva, Katerina Kolomeytseva, Daniil Moskovskiy, Elizaveta Goncharova, Nikita Savushkin, Polina Mikhailova, Anastasia Minaeva, Denis Dimitrov, Alexander Panchenko, Sergey Markov	N/A	N/A
SC2: Towards Enhancing Content Preservation and Style Consistency in Long Text Style Transfer	Jie Zhao, Ziyu Guan, Cai Xu, Wei Zhao, Yue Jiang	N/A	N/A
Causal Estimation of Memorisation Profiles	Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel	N/A	N/A
CHECKWHY: Causal Fact Verification via Argument Structure	Jiasheng Si, Yibo Zhao, Yingjie Zhu, Haiyang Zhu, Wenpeng Lu, Deyu Zhou	N/A	N/A
Dodo: Dynamic Contextual Compression for Decoder-only LMs	Guanghui Qin, Corby Rosset, Ethan C. Chau, Nikhil Rao, Benjamin Van Durme	N/A	N/A
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation	Shilong Pan, Zhiliang Tian, Liang Ding, Haoqi Zheng, Zhen Huang, Zhihua Wen, Dongsheng Li	N/A	N/A
NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism	Miao Li, Ming-Bin Chen, Bo Tang, ShengbinHou, Pengyu Wang, Haiying Deng, Zhiyu li, Feiyu Xiong, Keming Mao, Cheng Peng, Yi Luo	N/A	N/A
MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference Optimization	Shuaijie She, Wei Zou, Shujian Huang, Wenhao Zhu, Xiang Liu, Xiang Geng, Jiajun Chen	N/A	N/A
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training	Feiteng Fang, yuelin bai, Shiwen Ni, Min Yang, Xiaojun Chen, Ruifeng Xu	N/A	N/A
Predicting Text Preference Via Structured Comparative Reasoning	Jing Nathan Yan, Tianqi Liu, Justin T Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M Rush, Jialu Liu, Michael Bendersky	N/A	N/A
CoELM: Construction-Enhanced Language Modeling	Lvxiaowei Xu, Zhilin Gong, Jianhua Dai, Tianxiang Wang, Ming Cai, Jiawei Peng	N/A	N/A
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model	Christian Tomani, David Vilar, Markus Freitag, Colin Cherry, Subhajit Naskar, Mara Finkelstein, Xavier Garcia, Daniel Cremers	N/A	N/A
Uni-Dubbing: Zero-Shot Speech Synthesis from Visual Articulation	Songju Lei, Xize Cheng, Mengjiao Lyu, Jianqiao Hu, Jintao Tan, Runlin Liu, Lingyu Xiong, Tao Jin, Xiandong Li, Zhou Zhao	N/A	N/A
On the Impact of Calibration Data in Post-training Quantization and Pruning	Miles Williams, Nikolaos Aletras	N/A	N/A
SymKGQA: Few-Shot Knowledge Graph Question Answering via Symbolic Program Generation and Execution	Prerna Agarwal, Nishant Kumar, Srikanta J. Bedathur	N/A	N/A
Meta-Task Prompting Elicits Embeddings from Large Language Models	Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates	N/A	N/A
A Sentiment Consolidation Framework for Meta-Review Generation	Miao Li, Jey Han Lau, Eduard Hovy	N/A	N/A
Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing	Chengjie Zhou, Bobo Li, Hao Fei, Fei Li, Chong Teng, Donghong Ji	N/A	N/A
OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification	Yifan Peng, Yui Sudo, Muhammad Shakeel, Shinji Watanabe	N/A	N/A
Do Large Language Models Latently Perform Multi-Hop Reasoning?	Sohee Yang, Elena Gribovskaya, Nora Kassner, Mor Geva, Sebastian Riedel	N/A	N/A
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning	Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou	N/A	N/A
Harnessing Toulmin’s theory for zero-shot argument explication	Ankita Gupta, Ethan Zuckerman, Brendan O’Connor	N/A	N/A
BinaryAlign: Word Alignment as Binary Sequence Labeling	Gaetan Lopez Latouche, Marc-André Carbonneau, Benjamin Swanson	N/A	N/A
Quantifying the Persona Effect in LLM Simulations	Tiancheng Hu, Nigel Collier	N/A	N/A
On Efficient and Statistical Quality Estimation for Data Annotation	Jan-Christoph Klie, Juan Haladjian, Marc Kirchner, Rahul Nair	N/A	N/A
EZ-STANCE: A Large Dataset for English Zero-Shot Stance Detection	Chenye Zhao, Cornelia Caragea	N/A	N/A
Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?	Nishant Balepur, Abhilasha Ravichander, Rachel Rudinger	N/A	N/A
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments	Zhenrui Yue, Huimin Zeng, Lanyu Shang, Yifan Liu, Yang Zhang, Dong Wang	N/A	N/A
SyllabusQA: A Course Logistics Question Answering Dataset	Nigel Fernandez, Alexander Scarlatos, Andrew Lan	N/A	N/A
American Sign Language Handshapes Reflect Pressures for Communicative Efficiency	Kayo Yin, Terry Regier, Dan Klein	N/A	N/A
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models	Yilin Wen, Zifeng Wang, Jimeng Sun	N/A	N/A
AGB-DE: A Corpus for the Automated Legal Assessment of Clauses in German Consumer Contracts	Daniel Braun, Florian Matthes	N/A	N/A
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks	Charlotte Siska, Katerina Marazopoulou, Melissa Ailem, James Bono	N/A	N/A
Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning	Eric Pasewark, Kyle Montgomery, Kefei Duan, Dawn Song, Chenguang Wang	N/A	N/A
Bridging the Preference Gap between Retrievers and LLMs	Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky	N/A	N/A
Large Language Models Can Learn Temporal Reasoning	Siheng Xiong, Ali Payani, Ramana Rao Kompella, Faramarz Fekri	N/A	N/A
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research	Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Evan Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo	N/A	N/A
Learning Relational Decomposition of Queries for Question Answering from Tables	Raphaël Mouravieff, Benjamin Piwowarski, sylvain lamprier	N/A	N/A
Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People	Dun-Ming Huang, Pol Van Rijn, Ilia Sucholutsky, Raja Marjieh, Nori Jacoby	N/A	N/A
Pareto Optimal Learning for Estimating Large Language Model Errors	Theodore Zhao, Mu Wei, J. Samuel Preston, Hoifung Poon	N/A	N/A
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models	Victor Agostinelli III, Max Wild, Matthew Raffel, Kazi Ahmed Asif Fuad, Lizhong Chen	N/A	N/A
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM	Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen	N/A	N/A
Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models	Guanming Xiong, Junwei Bao, Wen Zhao	N/A	N/A
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error	Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su	N/A	N/A
HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts	Hao Zhao, Zihan Qiu, Huijia Wu, Zili Wang, Zhaofeng He, Jie Fu	N/A	N/A
Aligning Large Language Models with Human Preferences through Representation Engineering	Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Zhu JianHao, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang	N/A	N/A
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models	Fuwen Luo, Chi Chen, Zihao Wan, Zhaolu Kang, Qidong Yan, Yingjie Li, Xiaolong Wang, Siyu Wang, Ziyue Wang, Xiaoyue Mi, Peng Li, Ning Ma, Maosong Sun, Yang Liu	N/A	N/A
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation	Chen Huang, Yiping Jin, Ilija Ilievski, Wenqiang Lei, Jiancheng Lv	N/A	N/A
PolCLIP: A Unified Image-Text Word Sense Disambiguation Model via Generating Multimodal Complementary Representations	Qihao Yang, Yong Li, Xuelin Wang, Fu Lee Wang, Tianyong Hao	N/A	N/A
Prompted Aspect Key Point Analysis for Quantitative Review Summarization	An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Erik Cambria	N/A	N/A
Ask Again, Then Fail: Large Language Models’ Vacillations in Judgment	Qiming Xie, Zengzhi Wang, Yi Feng, Rui Xia	N/A	N/A
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models	Tong Zhang, Peixin Qin, Yang Deng, Chen Huang, Wenqiang Lei, Junhong Liu, Dingnan Jin, Hongru Liang, Tat-Seng Chua	N/A	N/A
Multimodal Reasoning with Multimodal Knowledge Graph	Junlin Lee, Yequan Wang, Jing Li, Min Zhang	N/A	N/A
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting	Rikui Huang, Wei Wei, Xiaoye Qu, Shengzhe Zhang, Dangyang Chen, Yu Cheng	N/A	N/A
CARE: A Clue-guided Assistant for CSRs to Read User Manuals	Weihong Du, Jia Liu, zujie wen, Dingnan Jin, Hongru Liang, Wenqiang Lei	N/A	N/A
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes	Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che	N/A	N/A
PAGED: A Benchmark for Procedural Graphs Extraction from Documents	Weihong Du, Wenrui Liao, Hongru Liang, Wenqiang Lei	N/A	N/A
Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors	Ying Zhou, Ben He, Le Sun	N/A	N/A
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models	Cheng Niu, Yuanhao Wu, Juno Zhu, Siliang Xu, KaShun SHUM, Randy Zhong, Juntong Song, Tong Zhang	N/A	N/A
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models	Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Xin Zhao, Jian-Yun Nie, Ji-Rong Wen	N/A	N/A
Revisiting Knowledge Distillation for Autoregressive Language Models	Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao	N/A	N/A
OLMo: Accelerating the Science of Language Models	Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, William H. Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi	N/A	N/A
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation	Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou	N/A	N/A
Make-A-Voice: Revisiting Voice Large Language Models as Scalable Multilingual and Multitask Learners	Rongjie Huang, Chunlei Zhang, Yongqi Wang, Dongchao Yang, Jinchuan Tian, Zhenhui Ye, Luping Liu, Zehan Wang, Ziyue Jiang, Xuankai Chang, Jiatong Shi, CHAO WENG, Zhou Zhao, Dong Yu	N/A	N/A
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages	Shih-Cheng Huang, Pin-Zu Li, YU-CHI HSU, Kuang-Ming Chen, Yu Tung Lin, Shih-Kai Hsiao, Richard Tzong-Han Tsai, Hung-yi Lee	N/A	N/A
Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!	Zhanhui Zhou, Jie Liu, Zhichen Dong, Jiaheng Liu, Chao Yang, Wanli Ouyang, Yu Qiao	N/A	N/A
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails	Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash	N/A	N/A
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLMs-Powered Assistance	Bo Yuan, Yulin Chen, Yin Zhang, Wei Jiang	N/A	N/A
CLOMO: Counterfactual Logical Modification with Large Language Models	Yinya Huang, Ruixin Hong, Hongming Zhang, Wei Shao, Zhicheng YANG, Dong Yu, Changshui Zhang, Xiaodan Liang, Linqi Song	N/A	N/A
Exploring Hybrid Question Answering via Program-based Prompting	Qi Shi, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che, Ting Liu	N/A	N/A
IndicGenBench: A Multilingual Benchmark to Evaluate Generation Capabilities of LLMs on Indic Languages	Harman Singh, Nitish Gupta, Shikhar Bharadwaj, Dinesh Tewari, Partha Talukdar	N/A	N/A
Simple but Effective Compound Geometric Operations for Temporal Knowledge Graph Completion	Rui Ying, Mengting Hu, Jianfeng Wu, Yalan Xie, Xiaoyi Liu, Zhunheng Wang, Ming Jiang, Hang Gao, Linlin Zhang, Renhong Cheng	N/A	N/A
Uncertainty Aware Learning for Language Model Alignment	Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao	N/A	N/A
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models	Ying-Chun Lin, Jennifer Neville, Jack W Stokes, Longqi Yang, Tara Safavi, Mengting Wan, Scott Counts, Siddharth Suri, Reid Andersen, Xiaofeng Xu, Deepak Gupta, Sujay Kumar Jauhar, Xia Song, Georg Buscher, saurabh tiwary, Brent Hecht, Jaime Teevan	N/A	N/A
Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey	Jiawei Li, Yizhe Yang, Yu Bai, Xiaofeng Zhou, Yinghao Li, Huashan Sun, Yuhang Liu, Xingpeng Si, Yuhao Ye, Yixiao Wu, 林一冠, Bin Xu, Ren bowen, Chong Feng, Yang Gao, Heyan Huang	N/A	N/A
IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages	Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, Umashankar Kumaravelan, Sumanth Doddapaneni, Suriyaprasaad B, Varun Balan G, Sparsh Jain, Anoop Kunchukuttan, Pratyush Kumar, Raj Dabre, Mitesh M Khapra	N/A	N/A
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said	Yejin Bang, Delong Chen, Nayeon Lee, Pascale Fung	N/A	N/A
Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use	Yuhan Chen, Ang Lv, Ting-En Lin, Changyu Chen, Yuchuan Wu, Fei Huang, Yongbin Li, Rui Yan	N/A	N/A
Layer-Condensed KV Cache for Efficient Inference of Large Language Models	Haoyi Wu, Kewei Tu	N/A	N/A
Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models	Xiaolong Wang, Yile Wang, Yuanchi Zhang, Fuwen Luo, Peng Li, Maosong Sun, Yang Liu	N/A	N/A
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages	Yuanchi Zhang, Yile Wang, Zijun Liu, Shuo Wang, Xiaolong Wang, Peng Li, Maosong Sun, Yang Liu	N/A	N/A
Benchmarking Chinese Commonsense Reasoning of LLMs: From Chinese-Specifics to Reasoning-Memorization Correlations	Jiaxing Sun, weiquan Huang, Jiang Wu, Chenya Gu, Wei Li, Songyang Zhang, Hang Yan, Conghui He	N/A	N/A
Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion	Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu	N/A	N/A
Model Composition for Multimodal Large Language Models	Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu	N/A	N/A
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding	Jun Zhang, Jue WANG, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra	N/A	N/A
Soul-Mix: Enhancing Multimodal Machine Translation with Manifold Mixup	Xuxin Cheng, Ziyu Yao, Yifei Xin, Hao An, Hongxiang Li, Yaowei Li, Yuexian Zou	N/A	N/A
Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models	Changjiang Gao, Jixing Li, Jiajun Chen, Shujian Huang	N/A	N/A
MIST: Mutual Information Maximization for Short Text Clustering	Krissanee Kamthawee, Can Udomcharoenchaikit, Sarana Nutanong	N/A	N/A
Self-chats from Large Language Models Make Small Emotional Support Chatbot Better	Zhonghua Zheng, Lizi Liao, Yang Deng, Libo Qin, Liqiang Nie	N/A	N/A
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment	Janghwan Lee, Seongmin Park, Sukjin Hong, Minsoo Kim, Du-Seong Chang, Jungwook Choi	N/A	N/A
Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs	Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut	N/A	N/A
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing	Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang	N/A	N/A
Learning to Plan and Generate Text with Citations	Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata	N/A	N/A
Exploring Precision and Recall to assess the quality and diversity of LLMs	Florian Le Bronnec, Alexandre Verine, benjamin negrevergne, Yann Chevaleyre, Alexandre Allauzen	N/A	N/A
Aligning Large Language Models by On-Policy Self-Judgment	Sangkyu Lee, Sungdong Kim, Ashkan Yousefpour, Minjoon Seo, Kang Min Yoo, Youngjae Yu	N/A	N/A
IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning	Abhinav Joshi, Shounak Paul, Akshat Sharma, Pawan Goyal, Saptarshi Ghosh, Ashutosh Modi	N/A	N/A
JumpCoder: Go Beyond Autoregressive Coder via Online Modification	Mouxiang Chen, Hao Tian, Zhongxin Liu, Xiaoxue Ren, Jianling Sun	N/A	N/A
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning	Shivalika Singh, Freddie Vargus, Daniel D’souza, Börje F. Karlsson, Abinaya Mahendiran, Wei-Yin Ko, Herumb Shandilya, Jay Patel, Deividas Mataciunas, Laura O’Mahony, Mike Zhang, Ramith Hettiarachchi, Joseph Wilson, Marina Machado, Luisa Souza Moura, Dominik Krzemiński, Hakimeh Fadaei, Irem Ergun, Ifeoma Okoh, Aisha Alaagib, Oshan Ivantha Mudannayake, Zaid Alyafeai, Vu Minh Chien, Sebastian Ruder, Surya Guthikonda, Emad A. Alghamdi, Sebastian Gehrmann, Niklas Muennighoff, Max Bartolo, Julia Kreutzer, Ahmet Üstün, Marzieh Fadaee, Sara Hooker	N/A	N/A
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks	Anwoy Chatterjee, Eshaan Tanwar, Subhabrata Dutta, Tanmoy Chakraborty	N/A	N/A
Split and Rephrase with Large Language Models	Antonio David Ponce Martínez, Thierry Etchegoyhen, Jesus Javier Calleja Perez, Harritxu Gete	N/A	N/A
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition	Lu Ye, Ze Tao, Yong Huang, Yang Li	N/A	N/A
AlignBench: Benchmarking Chinese Alignment of Large Language Models	Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang	N/A	N/A
SAPT: A Shared Attention Framework for Parameter-Efficient Continual Learning of Large Language Models	Weixiang Zhao, Shilong Wang, Yulin Hu, Yanyan Zhao, Bing Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che	N/A	N/A
DoRA: Enhancing Parameter-Efficient Fine-Tuning with Dynamic Rank Distribution	Yulong Mao, Kaiyu Huang, Changhao Guan, Ganglin Bao, Fengran Mo, Jinan Xu	N/A	N/A
Cross-Lingual Knowledge Editing in Large Language Models	Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan Cao, Jiarong Xu, Fandong Meng	N/A	N/A
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model	Ahmet Üstün, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D’souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker	N/A	N/A
Argument Mining in Data Scarce Settings: Cross-lingual Transfer and Few-shot Techniques	Anar Yeginbergen, Maite Oronoz, Rodrigo Agerri	N/A	N/A
Learning Task Decomposition to Assist Humans in Competitive Programming	Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang	N/A	N/A
An Entropy-based Text Watermarking Detection Method	Yijian LU, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King	N/A	N/A
Enhancing Explainable Rating Prediction through Annotated Macro Concepts	Huachi Zhou, Shuang Zhou, Hao Chen, Ninghao Liu, Fan Yang, Xiao Huang	N/A	N/A
How to Engage your Readers? Generating Guiding Questions to Promote Active Reading	Peng Cui, Vilém Zouhar, Xiaoyu Zhang, Mrinmaya Sachan	N/A	N/A
Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective	Zihao Yue, Liang Zhang, Qin Jin	N/A	N/A
Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation	Xinglin Wang, Yiwei Li, Shaoxiong Feng, Peiwen Yuan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li	N/A	N/A
More frequent verbs are associated with more diverse valency frames: Efficient principles at the lexicon-grammar interface	Siyu Tao, Lucia Donatelli, Michael Hahn	N/A	N/A
BatchEval: Towards Human-like Text Evaluation	Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Boyuan Pan, Heda Wang, Yao Hu, Kan Li	N/A	N/A
Quantifying Generalizations: Exploring the Divide Between Human and LLMs’ Sensitivity to Quantification	Claudia Collacciani, Giulia Rambelli, Marianna Bolognesi	N/A	N/A
Can Large Language Models Interpret Noun-Noun Compounds? A Linguistically-Motivated Study on Lexicalized and Novel Compounds	Giulia Rambelli, Emmanuele Chersoni, Claudia Collacciani, Marianna Bolognesi	N/A	N/A
CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation	Quan Tu, Shilong Fan, Zihang Tian, Tianhao Shen, Shuo Shang, Xin Gao, Rui Yan	N/A	N/A
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond	Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua	N/A	N/A
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction	Yice Zhang, Jie Zeng, Weiming Hu, Ziyi Wang, Shiwei Chen, Ruifeng Xu	N/A	N/A
ToMBench: Benchmarking Theory of Mind in Large Language Models	Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, Bosi Wen, Guanqun Bi, Gongyao Jiang, Yaru Cao, Mengting Hu, Yunghwei Lai, Zexuan Xiong, Minlie Huang	N/A	N/A
Learning to Generate Answers with Citations via Factual Consistency Models	Rami Aly, Zhiqiang Tang, Samson Tan, George Karypis	N/A	N/A
Improving Text Embeddings with Large Language Models	Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei	N/A	N/A
Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning	Tianduo Wang, Shichen Li, Wei Lu	N/A	N/A
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset	Haoyu Wang, Shuo Wang, Yukun Yan, Xujia Wang, Zhiyu Yang, Yuzhuang Xu, Zhenghao Liu, Liner Yang, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun	N/A	N/A
Document-level Claim Extraction and Decontextualisation for Fact-Checking	Zhenyun Deng, Michael Sejr Schlichtkrull, Andreas Vlachos	N/A	N/A
PairCFR: Enhancing Model Training on Paired Counterfactually Augmented Data through Contrastive Learning	Xiaoqi Qiu, Yongjie Wang, Xu Guo, Zhiwei Zeng, Yu Yue, Yuhong Feng, Chunyan Miao	N/A	N/A
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction	Hanzhang Zhou, Junlang Qian, Zijian Feng, Hui Lu, Zixiao Zhu, Kezhi Mao	N/A	N/A
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models	Weihong Zhong, Xiaocheng Feng, Liang Zhao, Qiming Li, Lei Huang, Yuxuan Gu, Weitao Ma, Yuan Xu, Bing Qin	N/A	N/A
COKE: A Cognitive Knowledge Graph for Machine Theory of Mind	Jincenzi Wu, Zhuang Chen, Jiawen Deng, Sahand Sabour, Helen M. Meng, Minlie Huang	N/A	N/A
mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models	Huiyuan Lai, Malvina Nissim	N/A	N/A
GunStance: Stance Detection for Gun Control and Gun Regulation	Nikesh Gyawali, Iustin Sirbu, Tiberiu Sosea, Sarthak Khanal, Doina Caragea, Traian Rebedea, Cornelia Caragea	N/A	N/A
Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation	Zdeněk Kasner, Ondrej Dusek	N/A	N/A
Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection	Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu	N/A	N/A
Don’t Rank, Combine! Combining Machine Translation Hypotheses Using Quality Estimation	Giorgos Vernikos, Andrei Popescu-Belis	N/A	N/A
Generating and Evaluating Plausible Explanations for Knowledge Graph Completion	Antonio Di Mauro, Zhao Xu, Wiem Ben Rim, Timo Sztyler, Carolin Lawrence	N/A	N/A
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation	Tejpalsingh Siledar, Swaroop Nath, Sankara Sri Raghava Ravindra Muddu, Rupasai Rangaraju, Swaprava Nath, Pushpak Bhattacharyya, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, Nikesh Garera	N/A	N/A
MultiPICo: Multilingual Perspectivist Irony Corpus	Silvia Casola, Simona Frenda, Soda Marem Lo, Erhan Sezerer, Antonio Uva, Valerio Basile, Cristina Bosco, Alessandro Pedrani, Chiara Rubagotti, Viviana Patti, Davide Bernardi	N/A	N/A
LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation	shaolin Zhu, Leiyu Pan, Bo Li, Deyi Xiong	N/A	N/A
A Joint Coreference-Aware Approach to Document-Level Target Sentiment Analysis	Hongjie Cai, Heqing Ma, Jianfei Yu, Rui Xia	N/A	N/A
VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models	Qingxing Cao, Junhao Cheng, Xiaodan Liang, Liang Lin	N/A	N/A
AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints	Yu-Zhe Shi, Haofei Hou, Zhangqian Bi, Fanxu Meng, Xiang Wei, Lecheng Ruan, Qining Wang	N/A	N/A
Multipath parsing in the brain	Berta Franzluebbers, Donald Dunagan, Miloš Stanojević, Jan Buys, John T. Hale	N/A	N/A
Search-Adaptor: Embedding Customization for Information Retrieval	Jinsung Yoon, Yanfei Chen, Sercan O Arik, Tomas Pfister	N/A	N/A
Back to Basics: Revisiting REINFORCE-Style Optimization for Learning from Human Feedback in LLMs	Arash Ahmadian, Chris Cremer, Matthias Gallé, Marzieh Fadaee, Julia Kreutzer, Olivier Pietquin, Ahmet Üstün, Sara Hooker	N/A	N/A
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation	Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, Wenhu Chen	N/A	N/A
Tree Transformer’s Disambiguation Ability of Prepositional Phrase Attachment and Garden Path Effects	Lingling Zhou, Suzan Verberne, Gijs Wijnholds	N/A	N/A
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs	Elan Sopher Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan	N/A	N/A
Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing	Freda Shi, Kevin Gimpel, Karen Livescu	N/A	N/A
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation	Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev	N/A	N/A
AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents	Harsh Trivedi, Tushar Khot, Mareike Hartmann, Ruskin Manku, Vinty Dong, Edward Li, Shashank Gupta, Ashish Sabharwal, Niranjan Balasubramanian	N/A	N/A
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking	Xiaokang Zhang, Zijun Yao, Jing Zhang, Kaifeng Yun, Jifan Yu, Juanzi Li, Jie Tang	N/A	N/A
What Do Language Models Learn in Context? The Structured Task Hypothesis.	Jiaoda Li, Yifan Hou, Mrinmaya Sachan, Ryan Cotterell	N/A	N/A
Agent Lumos: Unified and Modular Training for Open-Source Language Agents	Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin	N/A	N/A
Investigating Cultural Alignment of Large Language Models	Badr AlKhamissi, Muhammad ElNokrashy, Mai Alkhamissi, Mona T. Diab	N/A	N/A
More Victories, Less Cooperation: Assessing Cicero’s Diplomacy Play	Wichayaporn Wongkamjan, Feng Gu, Yanze Wang, Ulf Hermjakob, Jonathan May, Brandon M. Stewart, Jonathan K. Kummerfeld, Denis Peskoff, Jordan Lee Boyd-Graber	N/A	N/A
VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild	Puyuan Peng, Po-Yao Huang, Shang-Wen Li, Abdelrahman Mohamed, David Harwath	N/A	N/A
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors	Liam Dugan, Alyssa Hwang, Filip Trhlík, Andrew Zhu, Josh magnus Ludan, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch	N/A	N/A
Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles	Julia Kruk, Michela Marchini, Rijul Magu, Caleb Ziems, David Muchlinski, Diyi Yang	N/A	N/A
On the Representational Capacity of Neural Language Models with Chain-of-Thought Reasoning	Franz Nowak, Anej Svete, Alexandra Butoi, Ryan Cotterell	N/A	N/A
Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends	Sanjana Ramprasad, Elisa Ferracane, Zachary Chase Lipton	N/A	N/A
MMToM-QA: Multimodal Theory of Mind Question Answering	Chuanyang Jin, Yutong Wu, Jing Cao, Jiannan Xiang, Yen-Ling Kuo, Zhiting Hu, Tomer Ullman, Antonio Torralba, Joshua B. Tenenbaum, Tianmin Shu	N/A	N/A
LLM in a flash: Efficient Large Language Model Inference with Limited Memory	Keivan Alizadeh, Seyed Iman Mirzadeh, Dmitry Belenko, S. Karen Khatamifard, Minsik Cho, Carlo C del Mundo, Mohammad Rastegari, Mehrdad Farajtabar	N/A	N/A
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models	Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Fahad Shahbaz Khan	N/A	N/A
To Distill or Not to Distill? On the Robustness of Robust Knowledge Distillation	Abdul Waheed, Karima Kadaoui, Muhammad Abdul-Mageed	N/A	N/A
DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Financial Documents	Yilun Zhao, Yitao Long, Hongjun Liu, Ryo Kamoi, Linyong Nan, Lyuhao Chen, Yixin Liu, Xiangru Tang, Rui Zhang, Arman Cohan	N/A	N/A
LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding	Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, Basil Hosmer, Bram Wasti, Liangzhen Lai, Anas Mahmoud, Bilge Acun, Saurabh Agarwal, Ahmed Roman, Ahmed A Aly, Beidi Chen, Carole-Jean Wu	N/A	N/A
Unintended Impacts of LLM Alignment on Global Representation	Michael J Ryan, William Barr Held, Diyi Yang	N/A	N/A
Classist Tools: Social Class Correlates with Performance in NLP	Amanda Cercas Curry, Giuseppe Attanasio, Zeerak Talat, Dirk Hovy	N/A	N/A
ActionIE: Action Extraction from Scientific Literature with Programming Languages	Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han	N/A	N/A
A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech	Gaurav Verma, Rynaa Grover, Jiawei Zhou, Binny Mathew, Jordan Kraemer, Munmun De Choudhury, Srijan Kumar	N/A	N/A
Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMs	Zhiwei Cao, Qian Cao, Yu Lu, Ningxin Peng, Luyang Huang, Shanbo Cheng, Jinsong Su	N/A	N/A
COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation	Maxime DARRIN, Philippe Formont, Jackie CK Cheung, Pablo Piantanida	N/A	N/A
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer	Arkadiy Saakyan, Smaranda Muresan	N/A	N/A
EUROPA: A Legal Multilingual Keyphrase Generation Dataset	Olivier Salaün, Frédéric Piedboeuf, Guillaume Le Berre, David Alfonso-Hermelo, Philippe Langlais	N/A	N/A
GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews	Maxime DARRIN, Ines Arous, Pablo Piantanida, Jackie CK Cheung	N/A	N/A
MAP’s not dead yet: Uncovering true language model modes by conditioning away degeneracy	Davis Yoshida, Kartik Goyal, Kevin Gimpel	N/A	N/A
Peacock: A Family of Arabic Multimodal Large Language Models and Benchmarks	Fakhraddin Alwajih, El Moatez Billah Nagoudi, Gagan Bhatia, Abdelrahman Mohamed, Muhammad Abdul-Mageed	N/A	N/A
Generating Coherent Sequences of Visual Illustrations for Real-World Manual Tasks	João Bordalo, Vasco Ramos, Rodrigo Valério, Diogo Glória-Silva, Yonatan Bitton, Michal Yarom, Idan Szpektor, Joao Magalhaes	N/A	N/A
Cheetah: Natural Language Generation for 517 African Languages	Ife Adebara, AbdelRahim A. Elmadany, Muhammad Abdul-Mageed	N/A	N/A
TaPERA: Enhancing Faithfulness and Interpretability in Long-Form Table QA by Content Planning and Execution-based Reasoning	Yilun Zhao, Lyuhao Chen, Arman Cohan, Chen Zhao	N/A	N/A
KnowledgeFMath: A Knowledge-Intensive Math Reasoning Dataset in Finance Domains	Yilun Zhao, Hongjun Liu, Yitao Long, Rui Zhang, Chen Zhao, Arman Cohan	N/A	N/A
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs	Kinjal Basu, Ibrahim Abdelaziz, Subhajit Chaudhury, Soham Dan, Maxwell Crouse, Asim Munawar, Vernon Austel, Sadhana Kumaravel, Vinod Muthusamy, Pavan Kapanipathi, Luis A. Lastras	N/A	N/A
LoRA-Flow: Dynamic LoRA Fusion for Large Language Models in Generative Tasks	Hanqing Wang, Bowen Ping, Shuo Wang, Xu Han, Yun Chen, Zhiyuan Liu, Maosong Sun	N/A	N/A
Harder Task Needs More Experts: Dynamic Routing in MoE Models	Quzhe Huang, Zhenwei An, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng	N/A	N/A
XLAVS-R: Cross-Lingual Audio-Visual Speech Representation Learning for Noise-Robust Speech Perception	HyoJung Han, Mohamed Anwar, Juan Pino, Wei-Ning Hsu, Marine Carpuat, Bowen Shi, Changhan Wang	N/A	N/A
SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents	Ruiyi Wang, Haofei Yu, Wenxin Sharon Zhang, Zhengyang Qi, Maarten Sap, Yonatan Bisk, Graham Neubig, Hao Zhu	N/A	N/A
${\mathcal X}$FT: Unlocking the Power of Code Instruction Tuning by Simply Merging Upcycled Mixture-of-Experts	Yifeng Ding, Jiawei Liu, Yuxiang Wei, LINGMING ZHANG	N/A	N/A
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning	Tuc Van Nguyen, Thai Le	N/A	N/A
Learning to Decode Collaboratively with Multiple Language Models	Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David Sontag	N/A	N/A
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models	Weihang Su, Yichen Tang, Qingyao Ai, Zhijing Wu, Yiqun LIU	N/A	N/A
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?	Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min zhang	N/A	N/A
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation	Pei Ke, Bosi Wen, Andrew Zhuoer Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang	N/A	N/A
LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments	Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen	N/A	N/A
Small But Funny: A Feedback-Driven Approach to Humor Distillation	Sahithya Ravi, Patrick Huber, Akshat Shrivastava, Vered Shwartz, Arash Einolghozati	N/A	N/A
Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models	Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu	N/A	N/A
From Sights to Insights: Towards Summarization of Multimodal Clinical Documents	Akash Ghosh, Mohit Singh Tomar, Abhisek Tiwari, Sriparna Saha, JATIN AVINASH SALVE, Setu Sinha	N/A	N/A
When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models	Jiaxin Wang, Lingling Zhang, Wee Sun Lee, Yujie Zhong, Liwei Kang, Jun Liu	N/A	N/A
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation	Jan Cegin, Branislav Pecher, Jakub Simko, Ivan Srba, Maria Bielikova, Peter Brusilovsky	N/A	N/A
Beyond Orthography: Automatic Recovery of Short Vowels and Dialectal Sounds in Arabic	Yassine El Kheir, Hamdy Mubarak, Ahmed Ali, Shammur Absar Chowdhury	N/A	N/A
Document-Level Machine Translation with Large-Scale Public Parallel Corpora	Proyag Pal, Alexandra Birch, Kenneth Heafield	N/A	N/A
Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!	Stefano Perrella, Lorenzo Proietti, Alessandro Scirè, Edoardo Barba, Roberto Navigli	N/A	N/A
NounAtlas: Filling the Gap in Nominal Semantic Role Labeling	Roberto Navigli, Marco Lo Pinto, Pasquale Silvestri, Dennis Rotondi, Simone Ciciliano, Alessandro Scirè	N/A	N/A
Bridging the Empirical-Theoretical Gap in Neural Network Formal Language Learning Using Minimum Description Length	Nur Lan, Emmanuel Chemla, Roni Katzir	N/A	N/A
Context versus Prior Knowledge in Language Models	Kevin Du, Vésteinn Snæbjarnarson, Niklas Stoehr, Jennifer C. White, Aaron Schein, Ryan Cotterell	N/A	N/A
Word Matters: What Influences Domain Adaptation in Summarization?	Yinghao Li, Siyu Miao, Heyan Huang, Yang Gao	N/A	N/A
Visualization Recommendation with Prompt-based Reprogramming of Large Language Models	Xinhang Li, Jingbo Zhou, Wei Chen, Derong Xu, Tong Xu, Enhong Chen	N/A	N/A
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs	Pranoy Panda, Ankush Agarwal, Chaitanya Devaguptapu, Manohar Kaul, Prathosh AP	N/A	N/A
Toward In-Context Teaching: Adapting Examples to Students’ Misconceptions	Alexis Ross, Jacob Andreas	N/A	N/A
Bridging Word-Pair and Token-Level Metaphor Detection with Explainable Domain Mining	Yuan Tian, Ruike Zhang, Nan Xu, Wenji Mao	N/A	N/A
Faithful Logical Reasoning via Symbolic Chain-of-Thought	Jundong Xu, Hao Fei, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu	N/A	N/A
S$^2$GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis	Bingfeng chen, qihan ouyang, yongqi luo, Boyan Xu, Ruichu Cai, Zhifeng Hao	N/A	N/A
Maverick: Efficient and Accurate Coreference Resolution Defying Recent Trends	Giuliano Martinelli, Edoardo Barba, Roberto Navigli	N/A	N/A
ESCoT: Towards Interpretable Emotional Support Dialogue Systems	Tenggan Zhang, Xinjie Zhang, Jinming Zhao, Li Zhou, Qin Jin	N/A	N/A
PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering	Fangzhi Xu, Qika Lin, Tianzhe Zhao, JiaweiHan, Jun Liu	N/A	N/A
WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection	Anudeex Shetty, Yue Teng, Ke He, Qiongkai Xu	N/A	N/A
Advancing Parameter Efficiency in Fine-tuning via Representation Editing	Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Zhu JianHao, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang	N/A	N/A
Context Consistency between Training and Inference in Simultaneous Machine Translation	Meizhi Zhong, Lemao Liu, Kehai Chen, Mingming Yang, Min Zhang	N/A	N/A
Using Natural Language Explanations to Improve Robustness of In-context Learning	Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp	N/A	N/A
The Earth is Flat because…: Investigating LLMs’ Belief towards Misinformation via Persuasive Conversation	Rongwu Xu, Brian S. Lin, Shujian Yang, Tianqi Zhang, Weiyan Shi, Tianwei Zhang, Zhixuan Fang, Wei Xu, Han Qiu	N/A	N/A
Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers	Jiawen Xie, Pengyu Cheng, Xiao Liang, Yong Dai, nan du	N/A	N/A
LooGLE: Can Long-Context Language Models Understand Long Contexts?	Jiaqi Li, Mengmeng Wang, Zilong Zheng, Muhan Zhang	N/A	N/A
ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models	Hojae Han, Jaejin Kim, Jaeseok Yoo, Youngwon Lee, seung-won hwang	N/A	N/A
Let’s Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation	Se Jin Park, Chae Won Kim, Hyeongseop Rha, Minsu Kim, Joanna Hong, Jeonghun Yeo, Yong Man Ro	N/A	N/A
Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels	Zixia Jia, Junpeng Li, Shichuan Zhang, Anji Liu, Zilong Zheng	N/A	N/A
MULFE: A Multi-Level Benchmark for Free Text Model Editing	Chenhao Wang, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao	N/A	N/A
MobileSpeech: A Fast and High-Fidelity Framework for Mobile Zero-Shot Text-to-Speech	Shengpeng Ji, Ziyue Jiang, Wang Hanting, Jialung Zuo, Zhou Zhao	N/A	N/A
Spatially-Aware Speaker for Vision-and-Language Navigation Instruction Generation	Muraleekrishna Gopinathan, Martin Masek, Jumana Abu-Khalaf, David Suter	N/A	N/A
HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position	Kechi Zhang, Ge Li, Huangzhao Zhang, Zhi Jin	N/A	N/A
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training	Junqing He, Kunhao Pan, Xiaoqun Dong, Zhuoyang Song, LiuYiBo, qianguosun, Yuxin Liang, Hao Wang, Enming Zhang, Jiaxing Zhang	N/A	N/A
CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges	Kechi Zhang, Jia Li, Ge Li, xianjie Shi, Zhi Jin	N/A	N/A
When is Tree Search Useful for LLM Planning? It Depends on the Discriminator	Ziru Chen, Michael White, Ray Mooney, Ali Payani, Yu Su, Huan Sun	N/A	N/A
LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models	Mihir Parmar, Nisarg Patel, Neeraj Varshney, Mutsumi Nakamura, Man Luo, Santosh Mashetty, Arindam Mitra, Chitta Baral	N/A	N/A
ECBD: Evidence-Centered Benchmark Design for NLP	Yu Lu Liu, Su Lin Blodgett, Jackie CK Cheung, Vera Liao, Alexandra Olteanu, Ziang Xiao	N/A	N/A
Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding	Ruohao Guo, Wei Xu, Alan Ritter	N/A	N/A
Reducing Privacy Risks in Online Self-Disclosures with Language Models	Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu	N/A	N/A
Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models	Zihao Lin, Mohammad Beigi, Hongxuan Li, Yufan Zhou, Yuxiang Zhang, Qifan Wang, Wenpeng Yin, Lifu Huang	N/A	N/A
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset	Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer	N/A	N/A
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards	Norah A. Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay, Sultan AlRashed, Shaykhah Z. Alsubaie, Yousef Almushayqih, Faisal Abdulrahman Mirza, Nouf M. Alotaibi, Nora Al-Twairesh, Areeb Alowisheq, M Saiful Bari, Haidar Khan	N/A	N/A
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts	Helia Hashemi, Jason Eisner, Corby Rosset, Benjamin Van Durme, Chris Kedzie	N/A	N/A
LIEDER: Linguistically-Informed Evaluation for Discourse Entity Recognition	Xiaomeng Zhu, Robert Frank	N/A	N/A
Evaluating Very Long-Term Conversational Memory of LLM Agents	Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang	N/A	N/A
Prototypical Reward Network for Data-Efficient Model Alignment	Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu	N/A	N/A
NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms	Jonathan Zheng, Alan Ritter, Wei Xu	N/A	N/A
Impacts of Misspelled Queries on Translation and Product Search	Greg Hanneman, Natawut Monaikul, Taichi Nakatani	N/A	N/A
Having Beer after Prayer? Measuring Cultural Bias in Large Language Models	Tarek Naous, Michael J Ryan, Alan Ritter, Wei Xu	N/A	N/A
Skin-in-the-Game: Decision Making via Multi-Stakeholder Alignment in LLMs	Bilgehan Sel, Priya Shanmugasundaram, Mohammad Kachuee, Kun Zhou, Ruoxi Jia, Ming Jin	N/A	N/A
The MERSA Dataset and a Transformer-Based Approach for Speech Emotion Recognition	Enshi Zhang, Rafael Trujillo, Christian Poellabauer	N/A	N/A
Transparent and Scrutable Recommendations Using Natural Language User Profiles	Jerome Ramos, Hossein A. Rahmani, Xi Wang, Xiao Fu, Aldo Lipani	N/A	N/A
Fora: A corpus and framework for the study of facilitated dialogue	Hope Schroeder, Deb Roy, Jad Kabbara	N/A	N/A
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning	Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky	N/A	N/A
What is the Best Way for ChatGPT to Translate Poetry?	Shanshan Wang, Derek F. Wong, Jingming Yao, Lidia S. Chao	N/A	N/A
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling	Pratyush Maini, Skyler Seto, Richard He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly	N/A	N/A
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention	Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup Rao, Julian McAuley	N/A	N/A
Representation Learning with Conditional Information Flow Maximization	Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu	N/A	N/A
GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction	Virginia K. Felkner, Jennifer A. Thompson, Jonathan May	N/A	N/A
Quantifying Contamination in Evaluating Code Generation Capabilities of Language Models	Martin Riddell, Ansong Ni, Arman Cohan	N/A	N/A
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic	Rishabh Bhardwaj, Duc Anh Do, Soujanya Poria	N/A	N/A
Tracking the Newsworthiness of Public Documents	Alexander Spangher, Serdar Tumgoren, Ben Welsh, Nanyun Peng, Emilio Ferrara, Jonathan May	N/A	N/A
EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems	Mohammad Dehghan, Mohammad Ali Alomrani, Sunyam Bagga, David Alfonso-Hermelo, Khalil Bibi, Abbas Ghaddar, Yingxue Zhang, Xiaoguang Li, Jianye HAO, Qun Liu, Jimmy Lin, Boxing Chen, Prasanna Parthasarathi, Mahdi Biparva, Mehdi Rezagholizadeh	N/A	N/A
Explicating the Implicit: Argument Detection Beyond Sentence Boundaries	Paul Roit, Aviv Slobodkin, Eran Hirsch, Arie Cattan, Ayal Klein, Valentina Pyatkin, Ido Dagan	N/A	N/A
Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Models	Shengzhi LI, Rongyu Lin, Shichao Pei	N/A	N/A
Word Embeddings Are Steers for Language Models	Chi Han, Jialiang Xu, Manling Li, Yi Fung, Chenkai Sun, Nan Jiang, Tarek F. Abdelzaher, Heng Ji	N/A	N/A
Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation	Jiachen Zhao, Wenlong Zhao, Andrew Drozdov, Benjamin Rozonoyer, Md Arafat Sultan, Jay-Yoon Lee, Mohit Iyyer, Andrew McCallum	N/A	N/A
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor	Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon	N/A	N/A
LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP	Danlu Chen, Freda Shi, Aditi Agarwal, Jacobo Myerston, Taylor Berg-Kirkpatrick	N/A	N/A
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning	Ming Li, Yong Zhang, Shwai He, Zhitao Li, Hongyu Zhao, Jianzong Wang, Ning Cheng, Tianyi Zhou	N/A	N/A
Confabulation: The Surprising Value of Large Language Model Hallucinations	Peiqi Sui, Eamon Duede, Sophie Wu, Richard Jean So	N/A	N/A
IAPT: Instance-Aware Prompt Tuning for Large Language Models	Wei Zhu, Aaron Xuxiang Tian, Congrui Yin, Yuan Ni, Xiaoling Wang, Guotong Xie	N/A	N/A
Can Language Models Serve as Text-Based World Simulators?	Ruoyao Wang, Graham Todd, Ziang Xiao, Xingdi Yuan, Marc-Alexandre Côté, Peter Clark, Peter Jansen	N/A	N/A
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models	Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch	N/A	N/A
Revisiting Code Similarity Evaluation with Abstract Syntax Tree Edit Distance	Yewei Song, Cedric Lothritz, Daniel Tang, Tegawendé F. Bissyandé, Jacques Klein	N/A	N/A
Resisting the Lure of the Skyline: Grounding Practices in Active Learning for Morphological Inflection	Saliha Muradoglu, Michael Ginn, Miikka Silfverberg, Mans Hulden	N/A	N/A
Speculative Contrastive Decoding	Hongyi Yuan, Keming Lu, Fei Huang, Zheng Yuan, Chang Zhou	N/A	N/A
RDRec: Rationale Distillation for LLM-based Recommendation	Xinfeng Wang, Jin Cui, Yoshimi Suzuki, Fumiyo Fukumoto	N/A	N/A
Isotropy, Clusters, and Classifiers	Timothee Mickus, Stig-Arne Grönroos, Joseph Attieh	N/A	N/A
Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks	Andrew Gambardella, Yusuke Iwasawa, Yutaka Matsuo	N/A	N/A
Cleaner Pretraining Corpus Curation with Neural Web Scraping	Zhipeng Xu, Zhenghao Liu, Yukun Yan, Zhiyuan Liu, Ge Yu, Chenyan Xiong	N/A	N/A
Simpson’s Paradox and the Accuracy-Fluency Tradeoff in Translation	Zheng Wei Lim, Ekaterina Vylomova, Trevor Cohn, Charles Kemp	N/A	N/A
UltraSparseBERT: 99% Conditionally Sparse Language Modelling	Peter Belcak, Roger Wattenhofer	N/A	N/A
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark	Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang	N/A	N/A
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models	Dongyang Li, Junbing Yan, Taolin Zhang, Chengyu Wang, Xiaofeng He, Longtao Huang, Hui Xue’, Jun Huang	N/A	N/A
IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus	Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen	N/A	N/A
Bi-Directional Multi-Granularity Generation Framework for Knowledge Graph-to-Text with Large Language Model	Haowei Du, Chen Li, Dinghao Zhang, Dongyan Zhao	N/A	N/A
Code-Switching Can be Better Aligners: Advancing Cross-Lingual SLU through Representation-Level and Prediction-Level Alignment	Zhihong Zhu, Xuxin Cheng, Zhanpeng Chen, Xianwei Zhuang, Zhiqi Huang, Yuexian Zou	N/A	N/A
AFLoRA: Adaptive Freezing of Low Rank Adaptation in Parameter Efficient Fine-Tuning of Large Models	Zeyu Liu, Souvik Kundu, Anni Li, Junrui Wan, Lianghao Jiang, Peter Anthony Beerel	N/A	N/A
DDPrompt: Differential Diversity Prompting in Large Language Models	Lin Mu, Wenhao Zhang, Yiwen Zhang, Peiquan Jin	N/A	N/A
Monotonic Representation of Numeric Attributes in Language Models	Benjamin Heinzerling, Kentaro Inui	N/A	N/A
Two Issues with Chinese Spelling Correction and A Refinement Solution	Changxuan Sun, Linlin She, Xuesong Lu	N/A	N/A
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation	Jannis Vamvas, Rico Sennrich	N/A	N/A
DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion	Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam .	N/A	N/A
Fine-Tuning Pre-Trained Language Models with Gaze Supervision	Shuwen Deng, Paul Prasse, David Robert Reich, Tobias Scheffer, Lena Ann Jäger	N/A	N/A
Growing Trees on Sounds: Assessing Strategies for End-to-End Dependency Parsing of Speech	Adrien Pupier, Maximin Coavoux, Jérôme Goulian, Benjamin Lecouteux	N/A	N/A
Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access	Saibo Geng, Berkay Döner, Chris Wendler, Martin Josifoski, Robert West	N/A	N/A
On the Semantic Latent Space of Diffusion-Based Text-To-Speech Models	Miri Varshavsky, Roy Hirsch, Regev Cohen, Tomer Golany, Daniel Freedman, Ehud Rivlin	N/A	N/A
Learnable Privacy Neurons Localization in Language Models	Ruizhe Chen, Tianxiang Hu, YANG FENG, Zuozhu Liu	N/A	N/A
Is the Pope Catholic? Yes, the Pope is Catholic. Generative Evaluation of Non-Literal Intent Resolution in LLMs	Akhila Yerukola, Saujas Vaduguru, Daniel Fried, Maarten Sap	N/A	N/A
Generating Harder Cross-document Event Coreference Resolution Datasets using Metaphoric Paraphrasing	Shafiuddin Rehan Ahmed, Zhiyong Wang, George Arthur Baker, Kevin Stowe, James H. Martin	N/A	N/A
Soft Self-Consistency Improves Language Models Agents	Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal	N/A	N/A
RecGPT: Generative Pre-training for Text-based Recommendation	Hoang Ngo, Dat Quoc Nguyen	N/A	N/A
MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations	Gia-Bao Dinh Ho, Chang Wei Tan, Zahra Zamanzadeh Darban, Mahsa Salehi, Reza Haf, Wray Buntine	N/A	N/A
What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects	Verena Blaschke, Christoph Purschke, Hinrich Schuetze, Barbara Plank	N/A	N/A
What Does Parameter-free Probing Really Uncover?	Tommi Buder-Gröndahl	N/A	N/A
ATLAS: Improving Lay Summarisation with Attribute-based Control	Zhihao Zhang, Tomas Goldsack, Carolina Scarton, Chenghua Lin	N/A	N/A
EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models	Mengfei Du, Binhao Wu, Zejun Li, Xuanjing Huang, zhongyu wei	N/A	N/A
Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark	Niklas Wretblad, Fredrik Gordh Riseby, Rahul Biswas, Amin Ahmadi, Oskar Holmström	N/A	N/A
Dwell in the Beginning: How Language Models Embed Long Documents for Dense Retrieval	João Coelho, Bruno Martins, Joao Magalhaes, Jamie Callan, Chenyan Xiong	N/A	N/A
That’s Optional: A Contemporary Exploration of “that” Omission in English Subordinate Clauses	Ella Rabinovich	N/A	N/A
Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?	Haozhe An, Christabel Acquaye, Colin Wang, Zongxia Li, Rachel Rudinger	N/A	N/A
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster	Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Björn Ross, Mirella Lapata, Francesco Barbieri	N/A	N/A
Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models	Zachary Horvitz, Jingru Chen, Rahul Aditya, Harshvardhan Srivastava, Robert West, Zhou Yu, Kathleen McKeown	N/A	N/A
Estimating the Level of Dialectness Predicts Inter-annotator Agreement in Multi-dialect Arabic Datasets	Amr Keleg, Walid Magdy, Sharon Goldwater	N/A	N/A
Born Differently Makes a Difference: Counterfactual Study of Bias in Biography Generation from a Data-to-Text Perspective	Biaoyan Fang, Ritvik Dinesh, Xiang Dai, Sarvnaz Karimi	N/A	N/A
Greed is All You Need: An Evaluation of Tokenizer Inference Methods	Omri Uzan, Craig W Schmidt, Chris Tanner, Yuval Pinter	N/A	N/A
Sign Language Translation with Sentence Embedding Supervision	HAMIDULLAH Yasser, Josef van Genabith, Cristina España-Bonet	N/A	N/A
STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module	Anton Frederik Thielmann, Arik Reuter, Christoph Weisser, Gillian Kant, Manish Kumar, Benjamin Säfken	N/A	N/A
DocFinQA: A Long-Context Financial Reasoning Dataset	Varshini Reddy, Rik Koncel-Kedziorski, Viet Dac Lai, Michael Krumdick, Charles Lovering, Chris Tanner	N/A	N/A
MaskLID: Code-Switching Language Identification through Iterative Masking	Amir Hossein Kargaran, François Yvon, Hinrich Schuetze	N/A	N/A
An Empirical Analysis on Large Language Models in Debate Evaluation	Xinyi Liu, Pinxin Liu, Hangfeng He	N/A	N/A
Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains	Vilém Zouhar, Shuoyang Ding, Anna Currey, Tatyana Badeka, Jenyuan Wang, Brian Thompson	N/A	N/A
IndicIRSuite: Multilingual Dataset and Neural Information Models for Indian Languages	Saiful Haq, Ashutosh Sharma, Omar Khattab, Niyati Chhaya, Pushpak Bhattacharyya	N/A	N/A
AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization	Yunxiao Zhao, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li	N/A	N/A
Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research	Surangika Ranathunga, Nisansa de Silva, Dilith Jayakody, Aloka Fernando	N/A	N/A
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models	Noah Yamamoto Siegel, Oana-Maria Camburu, Nicolas Heess, Maria Perez-Ortiz	N/A	N/A
Don’t Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models	Anna Bavaresco, Alberto Testoni, Raquel Fernández	N/A	N/A
Naming, Describing, and Quantifying Visual Objects in Humans and LLMs	Alberto Testoni, Juell Sprott, Sandro Pezzelle	N/A	N/A
Are LLMs classical or nonmonotonic reasoners? Lessons from generics	Alina Leidinger, Robert Van Rooij, Ekaterina Shutova	N/A	N/A
ConstitutionalExperts: Training a Mixture of Principle-based Prompts	Savvas Petridis, Ben Wedin, Ann Yuan, James Wexler, Nithum Thain	N/A	N/A
Time Sensitive Knowledge Editing through Efficient Finetuning	Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li	N/A	N/A
PRewrite: Prompt Rewriting with Reinforcement Learning	Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky	N/A	N/A
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes	Mukul Bhutani, Kevin Robinson, Vinodkumar Prabhakaran, Shachi Dave, Sunipa Dev	N/A	N/A
Paraphrasing in Affirmative Terms Improves Negation Understanding	MohammadHossein Rezaei, Eduardo Blanco	N/A	N/A
Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios	Bin Sun, Jianfeng Li, Hao Zhou, Fandong Meng, Kan Li, Jie Zhou	N/A	N/A
Consistency Training by Synthetic Question Generation for Conversational Question Answering	Hamed Hematian Hemati, Hamid Beigy	N/A	N/A
How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?	Anushka Singh, Ananya B. Sai, Raj Dabre, Ratish Puduppully, Anoop Kunchukuttan, Mitesh M Khapra	N/A	N/A
Zero-Shot Cross-Lingual Reranking with Large Language Models for Low-Resource Languages	Mofetoluwa Adeyemi, Akintunde Oladipo, Ronak Pradeep, Jimmy Lin	N/A	N/A
Cross-Modal Projection in Multimodal LLMs Doesn’t Really Project Visual Attributes to Textual Space	Gaurav Verma, Minje Choi, Kartik Sharma, Jamelle Watson-Daniels, Sejoon Oh, Srijan Kumar	N/A	N/A
Guidance-Based Prompt Data Augmentation in Specialized Domains for Named Entity Recognition	Hyeonseok Kang, Hyein Seo, Jeesu Jung, Sangkeun Jung, Du-Seong Chang, Riwoo Chung	N/A	N/A
Aligning Large Language Models via Fine-grained Supervision	Dehong Xu, Liang Qiu, Minseok Kim, Faisal Ladhak, Jaeyoung Do	N/A	N/A
Annotating FrameNet via Structure-Conditioned Language Generation	Xinyue Cui, Swabha Swayamdipta	N/A	N/A
DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms	Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang	N/A	N/A
Towards Artwork Explanation in Large-scale Vision Language Models	Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito, Katsuhiko Hayashi, Taro Watanabe	N/A	N/A
On the Hallucination in Simultaneous Machine Translation	Meizhi Zhong, Kehai Chen, Zhengshan Xue, Lemao Liu, Mingming Yang, Min Zhang	N/A	N/A
Self-Augmented In-Context Learning for Unsupervised Word Translation	Yaoyiran Li, Anna Korhonen, Ivan Vulić	N/A	N/A
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records	Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang	N/A	N/A

CVPR 2020

Title	Author	PDF_Link	Code_URL
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation	Yen-Chi Cheng · Hsin-Ying Lee · Sergey Tulyakov · Alexander G. Schwing · Liang-Yan Gui	N/A	Code
Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring	Ruyang Liu · Jingjia Huang · Ge Li · Jiashi Feng · Xinglong Wu · Thomas H. Li	N/A	Code
Post-Processing Temporal Action Detection	Sauradip Nag · Xiatian Zhu · Yi-Zhe Song · Tao Xiang	N/A	Code
Learning Analytical Posterior Probability for Human Mesh Recovery	Qi Fang · Kang Chen · Yinghui Fan · Qing Shuai · Jiefeng Li · Weidong Zhang	N/A	Code
Accidental Light Probes	Hong-Xing Yu · Samir Agarwala · Charles Herrmann · Richard Szeliski · Noah Snavely · Jiajun Wu · Deqing Sun	N/A	Code
Multi-Object Manipulation via Object-Centric Neural Scattering Functions	Stephen Tian · Yancheng Cai · Hong-Xing Yu · Sergey Zakharov · Katherine Liu · Adrien Gaidon · Yunzhu Li · Jiajun Wu	N/A	Code
CFA: Class-Wise Calibrated Fair Adversarial Training	Zeming Wei · Yifei Wang · Yiwen Guo · Yisen Wang	N/A	Code
AutoAD: Movie Description in Context	Tengda Han · Max Bain · Arsha Nagrani · Gül Varol · Weidi Xie · Andrew Zisserman	N/A	Code
Relational Context Learning for Human-Object Interaction Detection	Sanghyun Kim · Deunsol Jung · Minsu Cho	N/A	Code
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations	Hagay Michaeli · Tomer Michaeli · Daniel Soudry	N/A	Code
Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective	Xin Li · Bingchen Li · Xin Jin · Cuiling Lan · Zhibo Chen	N/A	Code
Iterative Vision-and-Language Navigation	Jacob Krantz · Shurjo Banerjee · Wang Zhu · Jason Corso · Peter Anderson · Stefan Lee · Jesse Thomason	N/A	Code
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer	Zhijian Liu · Xinyu Yang · Haotian Tang · Shang Yang · Song Han	N/A	Code
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration	Sheng Ao · Qingyong Hu · Hanyun Wang · Kai Xu · Yulan Guo	N/A	Code
Learning Event Guided High Dynamic Range Video Reconstruction	Yixin Yang · Jin Han · Jinxiu Liang · Imari Sato · Boxin Shi	N/A	Code
3D Line Mapping Revisited	Shaohui Liu · Yifan Yu · Rémi Pautrat · Marc Pollefeys · Viktor Larsson	N/A	Code
High-Fidelity Event-Radiance Recovery via Transient Event Frequency	Jin Han · Yuta Asano · Boxin Shi · Yinqiang Zheng · Imari Sato	N/A	Code
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology	Jeongun Ryu · Aaron Valero Puche · JaeWoong Shin · Seonwook Park · Biagio Brattoli · Jinhee Lee · Wonkyung Jung · Soo Ick Cho · Kyunghyun Paeng · Chan-Young Ock · Donggeun Yoo · Sérgio Pereira	N/A	Code
Blur Interpolation Transformer for Real-World Motion From Blur	Zhihang Zhong · Mingdeng Cao · Xiang Ji · Yinqiang Zheng · Imari Sato	N/A	Code
Continuous Intermediate Token Learning With Implicit Motion Manifold for Keyframe Based Motion Interpolation	Clinton A. Mo · Kun Hu · Chengjiang Long · Zhiyong Wang	N/A	Code
Instant-NVR: Instant Neural Volumetric Rendering for Human-Object Interactions From Monocular RGBD Stream	Yuheng Jiang · Kaixin Yao · Zhuo Su · Zhehao Shen · Haimin Luo · Lan Xu	N/A	Code
HexPlane: A Fast Representation for Dynamic Scenes	Ang Cao · Justin Johnson	N/A	Code
Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models	Sachin Goyal · Ananya Kumar · Sankalp Garg · Zico Kolter · Aditi Raghunathan	N/A	Code
A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others	Zhiheng Li · Ivan Evtimov · Albert Gordo · Caner Hazirbas · Tal Hassner · Cristian Canton Ferrer · Chenliang Xu · Mark Ibrahim	N/A	Code
GIVL: Improving Geographical Inclusivity of Vision-Language Models With Pre-Training Methods	Da Yin · Feng Gao · Govind Thattai · Michael Johnston · Kai-Wei Chang	N/A	Code
Devil’s on the Edges: Selective Quad Attention for Scene Graph Generation	Deunsol Jung · Sanghyun Kim · Won Hwa Kim · Minsu Cho	N/A	Code
GeoMVSNet: Learning Multi-View Stereo With Geometry Perception	Zhe Zhang · Rui Peng · Yuxi Hu · Ronggang Wang	N/A	Code
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability	Fadi Boutros · Meiling Fang · Marcel Klemt · Biying Fu · Naser Damer	N/A	Code
NeuFace: Realistic 3D Neural Face Rendering From Multi-View Images	Mingwu Zheng · Haiyu Zhang · Hongyu Yang · Di Huang	N/A	Code
MethaneMapper: Spectral Absorption Aware Hyperspectral Transformer for Methane Detection	Satish Kumar · Ivan Arevalo · ASM Iftekhar · B S Manjunath	N/A	Code
Re-Thinking Model Inversion Attacks Against Deep Neural Networks	Ngoc-Bao Nguyen · Keshigeyan Chandrasegaran · Milad Abdollahzadeh · Ngai-Man Cheung	N/A	Code
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency	Yang Liu · Yao Zhang · Yixin Wang · Yang Zhang · Jiang Tian · Zhongchao Shi · Jianping Fan · Zhiqiang He	N/A	Code
VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation	Bingchen Yang · Haiyong Jiang · Hao Pan · Jun Xiao	N/A	Code
MARLIN: Masked Autoencoder for Facial Video Representation LearnINg	Zhixi Cai · Shreya Ghosh · Kalin Stefanov · Abhinav Dhall · Jianfei Cai · Hamid Rezatofighi · Reza Haffari · Munawar Hayat	N/A	Code
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation	Kaiwen Cui · Yingchen Yu · Fangneng Zhan · Shengcai Liao · Shijian Lu · Eric P. Xing	N/A	Code
Hierarchical Neural Memory Network for Low Latency Event Processing	Ryuhei Hamaguchi · Yasutaka Furukawa · Masaki Onishi · Ken Sakurada	N/A	Code
Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting	Wei Lin · Antoni B. Chan	N/A	Code
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information	Weijie Su · Xizhou Zhu · Chenxin Tao · Lewei Lu · Bin Li · Gao Huang · Yu Qiao · Xiaogang Wang · Jie Zhou · Jifeng Dai	N/A	Code
Revisiting Reverse Distillation for Anomaly Detection	Tran Dinh Tien · Anh Tuan Nguyen · Nguyen Hoang Tran · Ta Duc Huy · Soan T.M. Duong · Chanh D. Tr. Nguyen · Steven Q. H. Truong	N/A	Code
Conditional Generation of Audio From Video via Foley Analogies	Yuexi Du · Ziyang Chen · Justin Salamon · Bryan Russell · Andrew Owens	N/A	Code
Parameter Efficient Local Implicit Image Function Network for Face Segmentation	Mausoom Sarkar · Nikitha SR · Mayur Hemani · Rishabh Jain · Balaji Krishnamurthy	N/A	Code
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform	Yutaro Shigeto · Masashi Shimbo · Yuya Yoshikawa · Akikazu Takeuchi	N/A	Code
FaceLit: Neural 3D Relightable Faces	Anurag Ranjan · Kwang Moo Yi · Jen-Hao Rick Chang · Oncel Tuzel	N/A	Code
Pointersect: Neural Rendering With Cloud-Ray Intersection	Jen-Hao Rick Chang · Wei-Yu Chen · Anurag Ranjan · Kwang Moo Yi · Oncel Tuzel	N/A	Code
High-Fidelity Clothed Avatar Reconstruction From a Single Image	Tingting Liao · Xiaomei Zhang · Yuliang Xiu · Hongwei Yi · Xudong Liu · Guo-Jun Qi · Yong Zhang · Xuan Wang · Xiangyu Zhu · Zhen Lei	N/A	Code
BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields	Peng Wang · Lingzhe Zhao · Ruijie Ma · Peidong Liu	N/A	Code
Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection	Berkan Demirel · Orhun Buğra Baran · Ramazan Gokberk Cinbis	N/A	Code
StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields	Kunhao Liu · Fangneng Zhan · Yiwen Chen · Jiahui Zhang · Yingchen Yu · Abdulmotaleb El Saddik · Shijian Lu · Eric P. Xing	N/A	Code
DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting	Maoyuan Ye · Jing Zhang · Shanshan Zhao · Juhua Liu · Tongliang Liu · Bo Du · Dacheng Tao	N/A	Code
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution	Jie-En Yao · Li-Yuan Tsao · Yi-Chen Lo · Roy Tseng · Chia-Che Chang · Chun-Yi Lee	N/A	Code
LAVENDER: Unifying Video-Language Understanding As Masked Language Modeling	Linjie Li · Zhe Gan · Kevin Lin · Chung-Ching Lin · Zicheng Liu · Ce Liu · Lijuan Wang	N/A	Code
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution	Hao-Wei Chen · Yu-Syuan Xu · Min-Fong Hong · Yi-Min Tsai · Hsien-Kai Kuo · Chun-Yi Lee	N/A	Code
Fair Federated Medical Image Segmentation via Client Contribution Estimation	Meirui Jiang · Holger R. Roth · Wenqi Li · Dong Yang · Can Zhao · Vishwesh Nath · Daguang Xu · Qi Dou · Ziyue Xu	N/A	Code
An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling	Tsu-Jui Fu · Linjie Li · Zhe Gan · Kevin Lin · William Yang Wang · Lijuan Wang · Zicheng Liu	N/A	Code
ReCo: Region-Controlled Text-to-Image Generation	Zhengyuan Yang · Jianfeng Wang · Zhe Gan · Linjie Li · Kevin Lin · Chenfei Wu · Nan Duan · Zicheng Liu · Ce Liu · Michael Zeng · Lijuan Wang	N/A	Code
Uncertainty-Aware Vision-Based Metric Cross-View Geolocalization	Florian Fervers · Sebastian Bullinger · Christoph Bodensteiner · Michael Arens · Rainer Stiefelhagen	N/A	Code
LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation	Guangcong Zheng · Xianpan Zhou · Xuewei Li · Zhongang Qi · Ying Shan · Xi Li	N/A	Code
Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks	Yunrui Yu · Cheng-Zhong Xu	N/A	Code
NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation	Jiefeng Li · Siyuan Bian · Qi Liu · Jiasheng Tang · Fan Wang · Cewu Lu	N/A	Code
3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud	Mingtao Feng · Haoran Hou · Liang Zhang · Zijie Wu · Yulan Guo · Ajmal Mian	N/A	Code
Egocentric Auditory Attention Localization in Conversations	Fiona Ryan · Hao Jiang · Abhinav Shukla · James M. Rehg · Vamsi Krishna Ithapu	N/A	Code
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision	Jiahui Lei · Congyue Deng · Karl Schmeckpeper · Leonidas Guibas · Kostas Daniilidis	N/A	Code
Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning	Shi Chen · Qi Zhao	N/A	Code
Text-Visual Prompting for Efficient 2D Temporal Video Grounding	Yimeng Zhang · Xin Chen · Jinghan Jia · Sijia Liu · Ke Ding	N/A	Code
Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning	Youngjae Yu · Jiwan Chung · Heeseung Yun · Jack Hessel · Jae Sung Park · Ximing Lu · Rowan Zellers · Prithviraj Ammanabrolu · Ronan Le Bras · Gunhee Kim · Yejin Choi	N/A	Code
UniHCP: A Unified Model for Human-Centric Perceptions	Yuanzheng Ci · Yizhou Wang · Meilin Chen · Shixiang Tang · Lei Bai · Feng Zhu · Rui Zhao · Fengwei Yu · Donglian Qi · Wanli Ouyang	N/A	Code
VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval	Siteng Huang · Biao Gong · Yulin Pan · Jianwen Jiang · Yiliang Lv · Yuyuan Li · Donglin Wang	N/A	Code
PointConvFormer: Revenge of the Point-Based Convolution	Wenxuan Wu · Li Fuxin · Qi Shan	N/A	Code
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling	Hyo-Jun Lee · Hanul Kim · Su-Min Choi · Seong-Gyun Jeong · Yeong Jun Koh	N/A	Code
HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining	Shixiang Tang · Cheng Chen · Qingsong Xie · Meilin Chen · Yizhou Wang · Yuanzheng Ci · Lei Bai · Feng Zhu · Haiyang Yang · Li Yi · Rui Zhao · Wanli Ouyang	N/A	Code
Local Connectivity-Based Density Estimation for Face Clustering	Junho Shin · Hyo-Jun Lee · Hyunseop Kim · Jong-Hyeon Baek · Daehyun Kim · Yeong Jun Koh	N/A	Code
DistilPose: Tokenized Pose Regression With Heatmap Distillation	Suhang Ye · Yingyi Zhang · Jie Hu · Liujuan Cao · Shengchuan Zhang · Lei Shen · Jun Wang · Shouhong Ding · Rongrong Ji	N/A	Code
Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks	Weihua Chen · Xianzhe Xu · Jian Jia · Hao Luo · Yaohua Wang · Fan Wang · Rong Jin · Xiuyu Sun	N/A	Code
ViPLO: Vision Transformer Based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection	Jeeseung Park · Jin-Woo Park · Jong-Seok Lee	N/A	Code
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale	Yuxin Fang · Wen Wang · Binhui Xie · Quan Sun · Ledell Wu · Xinggang Wang · Tiejun Huang · Xinlong Wang · Yue Cao	N/A	Code
I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs	Jingsen Zhu · Yuchi Huo · Qi Ye · Fujun Luan · Jifan Li · Dianbing Xi · Lisha Wang · Rui Tang · Wei Hua · Hujun Bao · Rui Wang	N/A	Code
DrapeNet: Garment Generation and Self-Supervised Draping	Luca De Luigi · Ren Li · Benoît Guillard · Mathieu Salzmann · Pascal Fua	N/A	Code
STMixer: A One-Stage Sparse Action Detector	Tao Wu · Mengqi Cao · Ziteng Gao · Gangshan Wu · Limin Wang	N/A	Code
Inverse Rendering of Translucent Objects Using Physical and Neural Renderers	Chenhao Li · Trung Thanh Ngo · Hajime Nagahara	N/A	Code
Humans As Light Bulbs: 3D Human Reconstruction From Thermal Reflection	Ruoshi Liu · Carl Vondrick	N/A	Code
CF-Font: Content Fusion for Few-Shot Font Generation	Chi Wang · Min Zhou · Tiezheng Ge · Yuning Jiang · Hujun Bao · Weiwei Xu	N/A	Code
GLeaD: Improving GANs With a Generator-Leading Task	Qingyan Bai · Ceyuan Yang · Yinghao Xu · Xihui Liu · Yujiu Yang · Yujun Shen	N/A	Code
StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments	Sean Kulinski · Nicholas R. Waytowich · James Z. Hare · David I. Inouye	N/A	Code
WIRE: Wavelet Implicit Neural Representations	Vishwanath Saragadam · Daniel LeJeune · Jasper Tan · Guha Balakrishnan · Ashok Veeraraghavan · Richard G. Baraniuk	N/A	Code
Thermal Spread Functions (TSF): Physics-Guided Material Classification	Aniket Dashpute · Vishwanath Saragadam · Emma Alexander · Florian Willomitzer · Aggelos Katsaggelos · Ashok Veeraraghavan · Oliver Cossairt	N/A	Code
Improving Zero-Shot Generalization and Robustness of Multi-Modal Models	Yunhao Ge · Jie Ren · Andrew Gallagher · Yuxiao Wang · Ming-Hsuan Yang · Hartwig Adam · Laurent Itti · Balaji Lakshminarayanan · Jiaping Zhao	N/A	Code
The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection	Geoffroi Côté · Fahim Mannan · Simon Thibault · Jean-François Lalonde · Felix Heide	N/A	Code
Federated Domain Generalization With Generalization Adjustment	Ruipeng Zhang · Qinwei Xu · Jiangchao Yao · Ya Zhang · Qi Tian · Yanfeng Wang	N/A	Code
Propagate and Calibrate: Real-Time Passive Non-Line-of-Sight Tracking	Yihao Wang · Zhigang Wang · Bin Zhao · Dong Wang · Mulin Chen · Xuelong Li	N/A	Code
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network	Zhengxin Pan · Fangyu Wu · Bailing Zhang	N/A	Code
On the Benefits of 3D Pose and Tracking for Human Action Recognition	Jathushan Rajasegaran · Georgios Pavlakos · Angjoo Kanazawa · Christoph Feichtenhofer · Jitendra Malik	N/A	Code
Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations	Benjamin Ramtoula · Matthew Gadd · Paul Newman · Daniele De Martini	N/A	Code
Fine-Tuned CLIP Models Are Efficient Video Learners	Hanoona Rasheed · Muhammad Uzair Khattak · Muhammad Maaz · Salman Khan · Fahad Shahbaz Khan	N/A	Code
Connecting Vision and Language With Video Localized Narratives	Paul Voigtlaender · Soravit Changpinyo · Jordi Pont-Tuset · Radu Soricut · Vittorio Ferrari	N/A	Code
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance	Sara Fridovich-Keil · Giacomo Meanti · Frederik Rahbæk Warburg · Benjamin Recht · Angjoo Kanazawa	N/A	Code
Virtual Occlusions Through Implicit Depth	Jamie Watson · Mohamed Sayed · Zawar Qureshi · Gabriel J. Brostow · Sara Vicente · Oisin Mac Aodha · Michael Firman	N/A	Code
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories	Samarth Sinha · Roman Shapovalov · Jeremy Reizenstein · Ignacio Rocco · Natalia Neverova · Andrea Vedaldi · David Novotny	N/A	Code
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising	Zichun Wang · Ying Fu · Ji Liu · Yulun Zhang	N/A	Code
One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field	Weichuang Li · Longhao Zhang · Dong Wang · Bin Zhao · Zhigang Wang · Mulin Chen · Bang Zhang · Zhongjian Wang · Liefeng Bo · Xuelong Li	N/A	Code
Collaborative Diffusion for Multi-Modal Face Generation and Editing	Ziqi Huang · Kelvin C.K. Chan · Yuming Jiang · Ziwei Liu	N/A	Code
Blind Video Deflickering by Neural Filtering With a Flawed Atlas	Chenyang Lei · Xuanchi Ren · Zhaoxiang Zhang · Qifeng Chen	N/A	Code
RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension	Jiamu Sun · Gen Luo · Yiyi Zhou · Xiaoshuai Sun · Guannan Jiang · Zhiyu Wang · Rongrong Ji	N/A	Code
HNeRV: A Hybrid Neural Representation for Videos	Hao Chen · Matthew Gwilliam · Ser-Nam Lim · Abhinav Shrivastava	N/A	Code
Learning 3D-Aware Image Synthesis With Unknown Pose Distribution	Zifan Shi · Yujun Shen · Yinghao Xu · Sida Peng · Yiyi Liao · Sheng Guo · Qifeng Chen · Dit-Yan Yeung	N/A	Code
DynaFed: Tackling Client Data Heterogeneity With Global Dynamics	Renjie Pi · Weizhong Zhang · Yueqi Xie · Jiahui Gao · Xiaoyu Wang · Sunghun Kim · Qifeng Chen	N/A	Code
Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition	Jun Cen · Shiwei Zhang · Xiang Wang · Yixuan Pei · Zhiwu Qing · Yingya Zhang · Qifeng Chen	N/A	Code
RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion	Tengfei Wang · Bo Zhang · Ting Zhang · Shuyang Gu · Jianmin Bao · Tadas Baltrusaitis · Jingjing Shen · Dong Chen · Fang Wen · Qifeng Chen · Baining Guo	N/A	Code
IFSeg: Image-Free Semantic Segmentation via Vision-Language Model	Sukmin Yun · Seong Hyeon Park · Paul Hongsuck Seo · Jinwoo Shin	N/A	Code
Detecting Everything in the Open World: Towards Universal Object Detection	Zhenyu Wang · Yali Li · Xi Chen · Ser-Nam Lim · Antonio Torralba · Hengshuang Zhao · Shengjin Wang	N/A	Code
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations	Ziyan Yang · Kushal Kafle · Franck Dernoncourt · Vicente Ordonez	N/A	Code
Temporally Consistent Online Depth Estimation Using Point-Based Fusion	Numair Khan · Eric Penner · Douglas Lanman · Lei Xiao	N/A	Code
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions	Juze Zhang · Haimin Luo · Hongdi Yang · Xinru Xu · Qianyang Wu · Ye Shi · Jingyi Yu · Lan Xu · Jingya Wang	N/A	Code
Token Turing Machines	Michael S. Ryoo · Keerthana Gopalakrishnan · Kumara Kahatapitiya · Ted Xiao · Kanishka Rao · Austin Stone · Yao Lu · Julian Ibarz · Anurag Arnab	N/A	Code
Computationally Budgeted Continual Learning: What Does Matter?	Ameya Prabhu · Hasan Abed Al Kader Hammoud · Puneet K. Dokania · Philip H.S. Torr · Ser-Nam Lim · Bernard Ghanem · Adel Bibi	N/A	Code
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search	Fahad Shamshad · Muzammal Naseer · Karthik Nandakumar	N/A	Code
Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation From Image Sequence	Yang Tian · Jiyao Zhang · Zekai Yin · Hao Dong	N/A	Code
Affordances From Human Videos as a Versatile Representation for Robotics	Shikhar Bahl · Russell Mendonca · Lili Chen · Unnat Jain · Deepak Pathak	N/A	Code
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation	Yong Yang · Qiong Chen · Yuan Feng · Tianlin Huang	N/A	Code
Learning To Generate Image Embeddings With User-Level Differential Privacy	Zheng Xu · Maxwell Collins · Yuxiao Wang · Liviu Panait · Sewoong Oh · Sean Augenstein · Ting Liu · Florian Schroff · H. Brendan McMahan	N/A	Code
Genie: Show Me the Data for Quantization	Yongkweon Jeon · Chungman Lee · Ho-young Kim	N/A	Code
DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets	Haiyang Wang · Chen Shi · Shaoshuai Shi · Meng Lei · Sen Wang · Di He · Bernt Schiele · Liwei Wang	N/A	Code
Transformer-Based Learned Optimization	Erik Gärtner · Luke Metz · Mykhaylo Andriluka · C. Daniel Freeman · Cristian Sminchisescu	N/A	Code
Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data	Youssef Mansour · Reinhard Heckel	N/A	Code
Super-Resolution Neural Operator	Min Wei · Xuesong Zhang	N/A	Code
StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping	Diqiong Jiang · Dan Song · Ruofeng Tong · Min Tang	N/A	Code
Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization	Ji Li · Weixi Wang · Yuesong Nan · Hui Ji	N/A	Code
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization	Junyi Zhu · Xingchen Ma · Matthew B. Blaschko	N/A	Code
Human Pose As Compositional Tokens	Zigang Geng · Chunyu Wang · Yixuan Wei · Ze Liu · Houqiang Li · Han Hu	N/A	Code
GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training	Xiaoyu Tian · Haoxi Ran · Yue Wang · Hang Zhao	N/A	Code
RUST: Latent Neural Scene Representations From Unposed Imagery	Mehdi S. M. Sajjadi · Aravindh Mahendran · Thomas Kipf · Etienne Pot · Daniel Duckworth · Mario Lučić · Klaus Greff	N/A	Code
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation	Maan Qraitem · Kate Saenko · Bryan A. Plummer	N/A	Code
V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting	Haibao Yu · Wenxian Yang · Hongzhi Ruan · Zhenwei Yang · Yingjuan Tang · Xu Gao · Xin Hao · Yifeng Shi · Yifeng Pan · Ning Sun · Juan Song · Jirui Yuan · Ping Luo · Zaiqing Nie	N/A	Code
Conditional Image-to-Video Generation With Latent Flow Diffusion Models	Haomiao Ni · Changhao Shi · Kai Li · Sharon X. Huang · Martin Renqiang Min	N/A	Code
Anchor3DLane: Learning To Regress 3D Anchors for Monocular 3D Lane Detection	Shaofei Huang · Zhenwei Shen · Zehao Huang · Zi-han Ding · Jiao Dai · Jizhong Han · Naiyan Wang · Si Liu	N/A	Code
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds	Aoran Xiao · Jiaxing Huang · Weihao Xuan · Ruijie Ren · Kangcheng Liu · Dayan Guan · Abdulmotaleb El Saddik · Shijian Lu · Eric P. Xing	N/A	Code
NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action	Kuan-Chieh Wang · Zhenzhen Weng · Maria Xenochristou · João Pedro Araújo · Jeffrey Gu · Karen Liu · Serena Yeung	N/A	Code
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning	Xiaocheng Lu · Song Guo · Ziming Liu · Jingcai Guo	N/A	Code
iDisc: Internal Discretization for Monocular Depth Estimation	Luigi Piccinelli · Christos Sakaridis · Fisher Yu	N/A	Code
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy	Yinzhen Xu · Weikang Wan · Jialiang Zhang · Haoran Liu · Zikang Shan · Hao Shen · Ruicheng Wang · Haoran Geng · Yijia Weng · Jiayi Chen · Tengyu Liu · Li Yi · He Wang	N/A	Code
PolyFormer: Referring Image Segmentation As Sequential Polygon Generation	Jiang Liu · Hui Ding · Zhaowei Cai · Yuting Zhang · Ravi Kumar Satzoda · Vijay Mahadevan · R. Manmatha	N/A	Code
Interactive Segmentation of Radiance Fields	Rahul Goel · Dhawal Sirikonda · Saurabh Saini · P. J. Narayanan	N/A	Code
PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees	Jinghuai Zhang · Jinyuan Jia · Hongbin Liu · Neil Zhenqiang Gong	N/A	Code
Indiscernible Object Counting in Underwater Scenes	Guolei Sun · Zhaochong An · Yun Liu · Ce Liu · Christos Sakaridis · Deng-Ping Fan · Luc Van Gool	N/A	Code
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions	Yong Guo · David Stutz · Bernt Schiele	N/A	Code
Real-Time Multi-Person Eyeblink Detection in the Wild for Untrimmed Video	Wenzheng Zeng · Yang Xiao · Sicheng Wei · Jinfang Gan · Xintao Zhang · Zhiguo Cao · Zhiwen Fang · Joey Tianyi Zhou	N/A	Code
BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points	Ruihao Wang · Jian Qin · Kaiying Li · Yaochen Li · Dong Cao · Jintao Xu	N/A	Code
Infinite Photorealistic Worlds Using Procedural Generation	Alexander Raistrick · Lahav Lipson · Zeyu Ma · Lingjie Mei · Mingzhe Wang · Yiming Zuo · Karhan Kayan · Hongyu Wen · Beining Han · Yihan Wang · Alejandro Newell · Hei Law · Ankit Goyal · Kaiyu Yang · Jia Deng	N/A	Code
High-Fidelity 3D Human Digitization From Single 2K Resolution Images	Sang-Hun Han · Min-Gyu Park · Ju Hong Yoon · Ju-Mi Kang · Young-Jae Park · Hae-Gon Jeon	N/A	Code
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis	Ming Tao · Bing-Kun Bao · Hao Tang · Changsheng Xu	N/A	Code
Language-Guided Audio-Visual Source Separation via Trimodal Consistency	Reuben Tan · Arijit Ray · Andrea Burns · Bryan A. Plummer · Justin Salamon · Oriol Nieto · Bryan Russell · Kate Saenko	N/A	Code
Probabilistic Debiasing of Scene Graphs	Bashirul Azam Biswas · Qiang Ji	N/A	Code
PVO: Panoptic Visual Odometry	Weicai Ye · Xinyue Lan · Shuo Chen · Yuhang Ming · Xingyuan Yu · Hujun Bao · Zhaopeng Cui · Guofeng Zhang	N/A	Code
Superclass Learning With Representation Enhancement	Zeyu Gan · Suyun Zhao · Jinlong Kang · Liyuan Shang · Hong Chen · Cuiping Li	N/A	Code
GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts	Haoran Geng · Helin Xu · Chengyang Zhao · Chao Xu · Li Yi · Siyuan Huang · He Wang	N/A	Code
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation	Liyan Chen · Weihan Wang · Philippos Mordohai	N/A	Code
Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations	Thomas Tanay · Aleš Leonardis · Matteo Maggioni	N/A	Code
Large-Capacity and Flexible Video Steganography via Invertible Neural Network	Chong Mou · Youmin Xu · Jiechong Song · Chen Zhao · Bernard Ghanem · Jian Zhang	N/A	Code
Generating Part-Aware Editable 3D Shapes Without 3D Supervision	Konstantinos Tertikas · Despoina Paschalidou · Boxiao Pan · Jeong Joon Park · Mikaela Angelina Uy · Ioannis Emiris · Yannis Avrithis · Leonidas Guibas	N/A	Code
Vision Transformer With Super Token Sampling	Huaibo Huang · Xiaoqiang Zhou · Jie Cao · Ran He · Tieniu Tan	N/A	Code
Renderable Neural Radiance Map for Visual Navigation	Obin Kwon · Jeongho Park · Songhwai Oh	N/A	Code
Learning Compact Representations for LiDAR Completion and Generation	Yuwen Xiong · Wei-Chiu Ma · Jingkang Wang · Raquel Urtasun	N/A	Code
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation	Fabio Cermelli · Matthieu Cord · Arthur Douillard	N/A	Code
A Bag-of-Prototypes Representation for Dataset-Level Applications	Weijie Tu · Weijian Deng · Tom Gedeon · Liang Zheng	N/A	Code
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training	Yuting He · Guanyu Yang · Rongjun Ge · Yang Chen · Jean-Louis Coatrieux · Boyu Wang · Shuo Li	N/A	Code
Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network	Zhicheng Zhang · Lijuan Wang · Jufeng Yang	N/A	Code
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning	James Seale Smith · Leonid Karlinsky · Vyshnavi Gutta · Paola Cascante-Bonilla · Donghyun Kim · Assaf Arbelle · Rameswar Panda · Rogerio Feris · Zsolt Kira	N/A	Code
CodeTalker: Speech-Driven 3D Facial Animation With Discrete Motion Prior	Jinbo Xing · Menghan Xia · Yuechen Zhang · Xiaodong Cun · Jue Wang · Tien-Tsin Wong	N/A	Code
VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction	Yufan Ren · Fangjinhua Wang · Tong Zhang · Marc Pollefeys · Sabine Süsstrunk	N/A	Code
NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation	Haoqian Wu · Keyu Chen · Haozhe Liu · Mingchen Zhuge · Bing Li · Ruizhi Qiao · Xiujun Shu · Bei Gan · Liangsheng Xu · Bo Ren · Mengmeng Xu · Wentian Zhang · Raghavendra Ramachandra · Chia-Wen Lin · Bernard Ghanem	N/A	Code
Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization	Yuechen Zhang · Zexin He · Jinbo Xing · Xufeng Yao · Jiaya Jia	N/A	Code
GANmouflage: 3D Object Nondetection With Texture Fields	Rui Guo · Jasmine Collins · Oscar de Lima · Andrew Owens	N/A	Code
GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning	Zhenyu Xie · Zaiyu Huang · Xin Dong · Fuwei Zhao · Haoye Dong · Xijin Zhang · Feida Zhu · Xiaodan Liang	N/A	Code
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection	Xuan Zhang · Shiyu Li · Xi Li · Ping Huang · Jiulong Shan · Ting Chen	N/A	Code
Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images	Xindi Wu · KwunFung Lau · Francesco Ferroni · Aljoša Ošep · Deva Ramanan	N/A	Code
Beyond mAP: Towards Better Evaluation of Instance Segmentation	Rohit Jena · Lukas Zhornyak · Nehal Doiphode · Pratik Chaudhari · Vivek Buch · James Gee · Jianbo Shi	N/A	Code
Federated Learning With Data-Agnostic Distribution Fusion	Jian-hui Duan · Wenzhong Li · Derun Zou · Ruichen Li · Sanglu Lu	N/A	Code
Make-a-Story: Visual Memory Conditioned Consistent Story Generation	Tanzila Rahman · Hsin-Ying Lee · Jian Ren · Sergey Tulyakov · Shweta Mahajan · Leonid Sigal	N/A	Code
Scalable, Detailed and Mask-Free Universal Photometric Stereo	Satoshi Ikehata	N/A	Code
ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling	Xinglin Li · Jiajing Chen · Jinhui Ouyang · Hanhui Deng · Senem Velipasalar · Di Wu	N/A	Code
Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields	Yue Chen · Xingyu Chen · Xuan Wang · Qi Zhang · Yu Guo · Ying Shan · Fei Wang	N/A	Code
UV Volumes for Real-Time Rendering of Editable Free-View Human Performance	Yue Chen · Xuan Wang · Xingyu Chen · Qi Zhang · Xiaoyu Li · Yu Guo · Jue Wang · Fei Wang	N/A	Code
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries	Ahmed Imtiaz Humayun · Randall Balestriero · Guha Balakrishnan · Richard G. Baraniuk	N/A	Code
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble	Chun-Han Yao · Wei-Chih Hung · Yuanzhen Li · Michael Rubinstein · Ming-Hsuan Yang · Varun Jampani	N/A	Code
VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos	Huiyu Gao · Wei Mao · Miaomiao Liu	N/A	Code
Unsupervised Volumetric Animation	Aliaksandr Siarohin · Willi Menapace · Ivan Skorokhodov · Kyle Olszewski · Jian Ren · Hsin-Ying Lee · Menglei Chai · Sergey Tulyakov	N/A	Code
DKM: Dense Kernelized Feature Matching for Geometry Estimation	Johan Edstedt · Ioannis Athanasiadis · Mårten Wadenbäck · Michael Felsberg	N/A	Code
All in One: Exploring Unified Video-Language Pre-Training	Jinpeng Wang · Yixiao Ge · Rui Yan · Yuying Ge · Kevin Qinghong Lin · Satoshi Tsutsui · Xudong Lin · Guanyu Cai · Jianping Wu · Ying Shan · Xiaohu Qie · Mike Zheng Shou	N/A	Code
Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild	Yanhao Wu · Tong Zhang · Wei Ke · Sabine Süsstrunk · Mathieu Salzmann	N/A	Code
DynIBaR: Neural Dynamic Image-Based Rendering	Zhengqi Li · Qianqian Wang · Forrester Cole · Richard Tucker · Noah Snavely	N/A	Code
Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container	Jinguang Tong · Sundaram Muthu · Fahira Afzal Maken · Chuong Nguyen · Hongdong Li	N/A	Code
JAWS: Just a Wild Shot for Cinematic Transfer in Neural Radiance Fields	Xi Wang · Robin Courant · Jinglei Shi · Eric Marchand · Marc Christie	N/A	Code
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes	Harshil Bhatia · Edith Tretschk · Zorah Lähner · Marcel Seelbach Benkner · Michael Moeller · Christian Theobalt · Vladislav Golyanik	N/A	Code
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations	Joy Hsu · Jiayuan Mao · Jiajun Wu	N/A	Code
TempSAL – Uncovering Temporal Information for Deep Saliency Prediction	Bahar Aydemir · Ludo Hoffstetter · Tong Zhang · Mathieu Salzmann · Sabine Süsstrunk	N/A	Code
BiasBed – Rigorous Texture Bias Evaluation	Nikolai Kalischek · Rodrigo Caye Daudt · Torben Peters · Reinhard Furrer · Jan D. Wegner · Konrad Schindler	N/A	Code
Real-Time Neural Light Field on Mobile Devices	Junli Cao · Huan Wang · Pavlo Chemerys · Vladislav Shakhrai · Ju Hu · Yun Fu · Denys Makoviichuk · Sergey Tulyakov · Jian Ren	N/A	Code
Where Is My Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization	Mengmeng Xu · Yanghao Li · Cheng-Yang Fu · Bernard Ghanem · Tao Xiang · Juan-Manuel Pérez-Rúa	N/A	Code
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing	Zheng Ding · Xuaner Zhang · Zhihao Xia · Lars Jebe · Zhuowen Tu · Xiuming Zhang	N/A	Code
Neural Scene Chronology	Haotong Lin · Qianqian Wang · Ruojin Cai · Sida Peng · Hadar Averbuch-Elor · Xiaowei Zhou · Noah Snavely	N/A	Code
Diversity-Aware Meta Visual Prompting	Qidong Huang · Xiaoyi Dong · Dongdong Chen · Weiming Zhang · Feifei Wang · Gang Hua · Nenghai Yu	N/A	Code
Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses	Kunal Chelani · Torsten Sattler · Fredrik Kahl · Zuzana Kukelova	N/A	Code
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers	Bin Ren · Yahui Liu · Yue Song · Wei Bi · Rita Cucchiara · Nicu Sebe · Wei Wang	N/A	Code
Box-Level Active Detection	Mengyao Lyu · Jundong Zhou · Hui Chen · Yijie Huang · Dongdong Yu · Yaqian Li · Yandong Guo · Yuchen Guo · Liuyu Xiang · Guiguang Ding	N/A	Code
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples	Jiaming Zhang · Xingjun Ma · Qi Yi · Jitao Sang · Yu-Gang Jiang · Yaowei Wang · Changsheng Xu	N/A	Code
Generalized Relation Modeling for Transformer Tracking	Shenyuan Gao · Chunluan Zhou · Jun Zhang	N/A	Code
Mofusion: A Framework for Denoising-Diffusion-Based Motion Synthesis	Rishabh Dabral · Muhammad Hamza Mughal · Vladislav Golyanik · Christian Theobalt	N/A	Code
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective	Jinjing Zhu · Haotian Bai · Lin Wang	N/A	Code
Distilling Neural Fields for Real-Time Articulated Shape Reconstruction	Jeff Tan · Gengshan Yang · Deva Ramanan	N/A	Code
Sampling Is Matter: Point-Guided 3D Human Mesh Reconstruction	Jeonghwan Kim · Mi-Gyeong Gwon · Hyunwoo Park · Hyukmin Kwon · Gi-Mun Um · Wonjun Kim	N/A	Code
Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding	Haoxuan Che · Siyu Chen · Hao Chen	N/A	Code
Towards Practical Plug-and-Play Diffusion Models	Hyojun Go · Yunsung Lee · Jin-Young Kim · Seunghyun Lee · Myeongho Jeong · Hyun Seung Lee · Seungtaek Choi	N/A	Code
HRDFuse: Monocular 360° Depth Estimation by Collaboratively Learning Holistic-With-Regional Depth Distributions	Hao Ai · Zidong Cao · Yan-Pei Cao · Ying Shan · Lin Wang	N/A	Code
KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation	Xiangyang Li · Zihan Wang · Jiahao Yang · Yaowei Wang · Shuqiang Jiang	N/A	Code
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction	Yuanhui Huang · Wenzhao Zheng · Yunpeng Zhang · Jie Zhou · Jiwen Lu	N/A	Code
EventNeRF: Neural Radiance Fields From a Single Colour Event Camera	Viktor Rudnev · Mohamed Elgharib · Christian Theobalt · Vladislav Golyanik	N/A	Code
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling	Zhanhao Hu · Wenda Chu · Xiaopei Zhu · Hui Zhang · Bo Zhang · Xiaolin Hu	N/A	Code
Global Vision Transformer Pruning With Hessian-Aware Saliency	Huanrui Yang · Hongxu Yin · Maying Shen · Pavlo Molchanov · Hai Li · Jan Kautz	N/A	Code
3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention	Zhenhua Tang · Zhaofan Qiu · Yanbin Hao · Richang Hong · Ting Yao	N/A	Code
Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution	Yunfan Lu · Zipeng Wang · Minjie Liu · Hongjian Wang · Lin Wang	N/A	Code
StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer	Sasikarn Khwanmuang · Pakkapon Phongthawee · Patsorn Sangkloy · Supasorn Suwajanakorn	N/A	Code
ShapeClipper: Scalable 3D Shape Learning From Single-View Images via Geometric and CLIP-Based Consistency	Zixuan Huang · Varun Jampani · Anh Thai · Yuanzhen Li · Stefan Stojanov · James M. Rehg	N/A	Code
Efficient Scale-Invariant Generator With Column-Row Entangled Pixel Synthesis	Thuan Hoang Nguyen · Thanh Van Le · Anh Tran	N/A	Code
Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization	Chunghwan Lee · Jaihoon Kim · Chanhyuk Yun · Je Hyeong Hong	N/A	Code
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation	Xu Zheng · Jinjing Zhu · Yexin Liu · Zidong Cao · Chong Fu · Lin Wang	N/A	Code
Adaptive Human Matting for Dynamic Videos	Chung-Ching Lin · Jiang Wang · Kun Luo · Kevin Lin · Linjie Li · Lijuan Wang · Zicheng Liu	N/A	Code
High-Fidelity Facial Avatar Reconstruction From Monocular Video With Generative Priors	Yunpeng Bai · Yanbo Fan · Xuan Wang · Yong Zhang · Jingxiang Sun · Chun Yuan · Ying Shan	N/A	Code
Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint	Shikang Yu · Jiachen Chen · Hu Han · Shuqiang Jiang	N/A	Code
Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes	Jihyun Lee · Minhyuk Sung · Honggyu Choi · Tae-Kyun Kim	N/A	Code
MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos	Zicheng Zhang · Wei Wu · Wei Sun · Danyang Tu · Wei Lu · Xiongkuo Min · Ying Chen · Guangtao Zhai	N/A	Code
Make Landscape Flatter in Differentially Private Federated Learning	Yifan Shi · Yingqi Liu · Kang Wei · Li Shen · Xueqian Wang · Dacheng Tao	N/A	Code
A Large-Scale Robustness Analysis of Video Action Recognition Models	Madeline Chantry Schiappa · Naman Biyani · Prudvi Kamtam · Shruti Vyas · Hamid Palangi · Vibhav Vineet · Yogesh S. Rawat	N/A	Code
Multi-Concept Customization of Text-to-Image Diffusion	Nupur Kumari · Bingliang Zhang · Richard Zhang · Eli Shechtman · Jun-Yan Zhu	N/A	Code
GANHead: Towards Generative Animatable Neural Head Avatars	Sijing Wu · Yichao Yan · Yunhao Li · Yuhao Cheng · Wenhan Zhu · Ke Gao · Xiaobo Li · Guangtao Zhai	N/A	Code
Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition	Xinghan Wang · Xin Xu · Yadong Mu	N/A	Code
Hierarchical B-Frame Video Coding Using Two-Layer CANF Without Motion Coding	David Alexandre · Hsueh-Ming Hang · Wen-Hsiao Peng	N/A	Code
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER	Ce Zheng · Matias Mendieta · Taojiannan Yang · Guo-Jun Qi · Chen Chen	N/A	Code
Delivering Arbitrary-Modal Semantic Segmentation	Jiaming Zhang · Ruiping Liu · Hao Shi · Kailun Yang · Simon Reiß · Kunyu Peng · Haodong Fu · Kaiwei Wang · Rainer Stiefelhagen	N/A	Code
Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration	Zheng Qin · Hao Yu · Changjian Wang · Yuxing Peng · Kai Xu	N/A	Code
HumanGen: Generating Human Radiance Fields With Explicit Priors	Suyi Jiang · Haoran Jiang · Ziyu Wang · Haimin Luo · Wenzheng Chen · Lan Xu	N/A	Code
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation	Bo Huang · Mingyang Chen · Yi Wang · Junda Lu · Minhao Cheng · Wei Wang	N/A	Code
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation	Narek Tumanyan · Michal Geyer · Shai Bagon · Tali Dekel	N/A	Code
Rotation-Invariant Transformer for Point Cloud Matching	Hao Yu · Zheng Qin · Ji Hou · Saleh · Dongsheng Li · Benjamin Busam · Slobodan Ilic	N/A	Code
CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP	Runnan Chen · Youquan Liu · Lingdong Kong · Xinge Zhu · Yuexin Ma · Yikang Li · Yuenan Hou · Yu Qiao · Wenping Wang	N/A	Code
Real-Time 6K Image Rescaling With Rate-Distortion Optimization	Chenyang Qi · Xin Yang · Ka Leong Cheng · Ying-Cong Chen · Qifeng Chen	N/A	Code
Focused and Collaborative Feedback Integration for Interactive Image Segmentation	Qiaoqiao Wei · Hui Zhang · Jun-Hai Yong	N/A	Code
Language-Guided Music Recommendation for Video via Prompt Analogies	Daniel McKee · Justin Salamon · Josef Sivic · Bryan Russell	N/A	Code
TarViS: A Unified Approach for Target-Based Video Segmentation	Ali Athar · Alexander Hermans · Jonathon Luiten · Deva Ramanan · Bastian Leibe	N/A	Code
Meta-Personalizing Vision-Language Models To Find Named Instances in Video	Chun-Hsiao Yeh · Bryan Russell · Josef Sivic · Fabian Caba Heilbron · Simon Jenni	N/A	Code
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data	Haojie Zhao · Junsong Chen · Lijun Wang · Huchuan Lu	N/A	Code
Scaling Language-Image Pre-Training via Masking	Yanghao Li · Haoqi Fan · Ronghang Hu · Christoph Feichtenhofer · Kaiming He	N/A	Code
SeqTrack: Sequence to Sequence Learning for Visual Object Tracking	Xin Chen · Houwen Peng · Dong Wang · Huchuan Lu · Han Hu	N/A	Code
Learning Neural Parametric Head Models	Simon Giebenhain · Tobias Kirschstein · Markos Georgopoulos · Martin Rünz · Lourdes Agapito · Matthias Nießner	N/A	Code
L-CoIns: Language-Based Colorization With Instance Awareness	Zheng Chang · Shuchen Weng · Peixuan Zhang · Yu Li · Si Li · Boxin Shi	N/A	Code
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning	Antoine Yang · Arsha Nagrani · Paul Hongsuck Seo · Antoine Miech · Jordi Pont-Tuset · Ivan Laptev · Josef Sivic · Cordelia Schmid	N/A	Code
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding	Le Xue · Mingfei Gao · Chen Xing · Roberto Martín-Martín · Jiajun Wu · Caiming Xiong · Ran Xu · Juan Carlos Niebles · Silvio Savarese	N/A	Code
GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images	Jianchuan Chen · Wentao Yi · Liqian Ma · Xu Jia · Huchuan Lu	N/A	Code
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation	Lukas Hoyer · Dengxin Dai · Haoran Wang · Luc Van Gool	N/A	Code
MED-VT: Multiscale Encoder-Decoder Video Transformer With Application To Object Segmentation	Rezaul Karim · He Zhao · Richard P. Wildes · Mennatullah Siam	N/A	Code
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation	Bohao Peng · Zhuotao Tian · Xiaoyang Wu · Chengyao Wang · Shu Liu · Jingyong Su · Jiaya Jia	N/A	Code
Universal Instance Perception As Object Discovery and Retrieval	Bin Yan · Yi Jiang · Jiannan Wu · Dong Wang · Ping Luo · Zehuan Yuan · Huchuan Lu	N/A	Code
Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning	Zhicai Wang · Yanbin Hao · Tingting Mu · Ouxiang Li · Shuo Wang · Xiangnan He	N/A	Code
Open-Vocabulary Semantic Segmentation With Mask-Adapted CLIP	Feng Liang · Bichen Wu · Xiaoliang Dai · Kunpeng Li · Yinan Zhao · Hang Zhang · Peizhao Zhang · Peter Vajda · Diana Marculescu	N/A	Code
ImageBind: One Embedding Space To Bind Them All	Rohit Girdhar · Alaaeldin El-Nouby · Zhuang Liu · Mannat Singh · Kalyan Vasudev Alwala · Armand Joulin · Ishan Misra	N/A	Code
Learning and Aggregating Lane Graphs for Urban Automated Driving	Martin Büchner · Jannik Zürn · Ion-George Todoran · Abhinav Valada · Wolfram Burgard	N/A	Code
High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain Activity	Yu Takagi · Shinji Nishimoto	N/A	Code
3D Cinemagraphy From a Single Image	Xingyi Li · Zhiguo Cao · Huiqiang Sun · Jianming Zhang · Ke Xian · Guosheng Lin	N/A	Code
Understanding and Improving Visual Prompting: A Label-Mapping Perspective	Aochuan Chen · Yuguang Yao · Pin-Yu Chen · Yihua Zhang · Sijia Liu	N/A	Code
Cut and Learn for Unsupervised Object Detection and Instance Segmentation	Xudong Wang · Rohit Girdhar · Stella X. Yu · Ishan Misra	N/A	Code
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset	Kartik Narayan · Harsh Agarwal · Kartik Thakral · Surbhi Mittal · Mayank Vatsa · Richa Singh	N/A	Code
BASiS: Batch Aligned Spectral Embedding Space	Or Streicher · Ido Cohen · Guy Gilboa	N/A	Code
Annealing-Based Label-Transfer Learning for Open World Object Detection	Yuqing Ma · Hainan Li · Zhange Zhang · Jinyang Guo · Shanghang Zhang · Ruihao Gong · Xianglong Liu	N/A	Code
Behind the Scenes: Density Fields for Single View Reconstruction	Felix Wimbauer · Nan Yang · Christian Rupprecht · Daniel Cremers	N/A	Code
Learning Video Representations From Large Language Models	Yue Zhao · Ishan Misra · Philipp Krähenbühl · Rohit Girdhar	N/A	Code
Quantum Multi-Model Fitting	Matteo Farina · Luca Magri · Willi Menapace · Elisa Ricci · Vladislav Golyanik · Federica Arrigoni	N/A	Code
Power Bundle Adjustment for Large-Scale 3D Reconstruction	Simon Weber · Nikolaus Demmel · Tin Chon Chan · Daniel Cremers	N/A	Code
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing	Jiechong Song · Chong Mou · Shiqi Wang · Siwei Ma · Jian Zhang	N/A	Code
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization	Shitao Tang · Sicong Tang · Andrea Tagliasacchi · Ping Tan · Yasutaka Furukawa	N/A	Code
Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption	Jin Gao · Jialing Zhang · Xihui Liu · Trevor Darrell · Evan Shelhamer · Dequan Wang	N/A	Code
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis	Ziyu Wan · Christian Richardt · Aljaž Božič · Chao Li · Vijay Rengarajan · Seonghyeon Nam · Xiaoyu Xiang · Tuotuo Li · Bo Zhu · Rakesh Ranjan · Jing Liao	N/A	Code
Object Pop-Up: Can We Infer 3D Objects and Their Poses From Human Interactions Alone?	Ilya A. Petrov · Riccardo Marin · Julian Chibane · Gerard Pons-Moll	N/A	Code
G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors	Marvin Eisenberger · Aysim Toker · Laura Leal-Taixé · Daniel Cremers	N/A	Code
Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision	María Leyva-Vallina · Nicola Strisciuglio · Nicolai Petkov	N/A	Code
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision	Xinyi Ying · Li Liu · Yingqian Wang · Ruojing Li · Nuo Chen · Zaiping Lin · Weidong Sheng · Shilin Zhou	N/A	Code
Instant Domain Augmentation for LiDAR Semantic Segmentation	Kwonyoung Ryu · Soonmin Hwang · Jaesik Park	N/A	Code
R2Former: Unified Retrieval and Reranking Transformer for Place Recognition	Sijie Zhu · Linjie Yang · Chen Chen · Mubarak Shah · Xiaohui Shen · Heng Wang	N/A	Code
Detecting and Grounding Multi-Modal Media Manipulation	Rui Shao · Tianxing Wu · Ziwei Liu	N/A	Code
Detecting Backdoors in Pre-Trained Encoders	Shiwei Feng · Guanhong Tao · Siyuan Cheng · Guangyu Shen · Xiangzhe Xu · Yingqi Liu · Kaiyuan Zhang · Shiqing Ma · Xiangyu Zhang	N/A	Code
Scaling Up GANs for Text-to-Image Synthesis	Minguk Kang · Jun-Yan Zhu · Richard Zhang · Jaesik Park · Eli Shechtman · Sylvain Paris · Taesung Park	N/A	Code
Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline	Tiantian Geng · Teng Wang · Jinming Duan · Runmin Cong · Feng Zheng	N/A	Code
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°	Sizhe An · Hongyi Xu · Yichun Shi · Guoxian Song · Umit Y. Ogras · Linjie Luo	N/A	Code
Modality-Invariant Visual Odometry for Embodied Vision	Marius Memmel · Roman Bachmann · Amir Zamir	N/A	Code
3D Video Loops From Asynchronous Input	Li Ma · Xiaoyu Li · Jing Liao · Pedro V. Sander	N/A	Code
Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes	Xuan Ju · Ailing Zeng · Jianan Wang · Qiang Xu · Lei Zhang	N/A	Code
PosterLayout: A New Benchmark and Approach for Content-Aware Visual-Textual Presentation Layout	Hsiao Yuan Hsu · Xiangteng He · Yuxin Peng · Hao Kong · Qing Zhang	N/A	Code
A Soma Segmentation Benchmark in Full Adult Fly Brain	Xiaoyu Liu · Bo Hu · Mingxing Li · Wei Huang · Yueyi Zhang · Zhiwei Xiong	N/A	Code
One-Stage 3D Whole-Body Mesh Recovery With Component Aware Transformer	Jing Lin · Ailing Zeng · Haoqian Wang · Lei Zhang · Yu Li	N/A	Code
Listening Human Behavior: 3D Human Pose Estimation With Acoustic Signals	Yuto Shibata · Yutaka Kawashima · Mariko Isogawa · Go Irie · Akisato Kimura · Yoshimitsu Aoki	N/A	Code
Hand Avatar: Free-Pose Hand Animation and Rendering From Monocular Video	Xingyu Chen · Baoyuan Wang · Heung-Yeung Shum	N/A	Code
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis	Hiuyi Cheng · Peirong Zhang · Sihang Wu · Jiaxin Zhang · Qiyuan Zhu · Zecheng Xie · Jing Li · Kai Ding · Lianwen Jin	N/A	Code
Neural Congealing: Aligning Images to a Joint Semantic Atlas	Dolev Ofri-Amar · Michal Geyer · Yoni Kasten · Tali Dekel	N/A	Code
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation	Tianheng Cheng · Xinggang Wang · Shaoyu Chen · Qian Zhang · Wenyu Liu	N/A	Code
BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion	Michael J. Black · Priyanka Patel · Joachim Tesch · Jinlong Yang	N/A	Code
Mask DINO: Towards a Unified Transformer-Based Framework for Object Detection and Segmentation	Feng Li · Hao Zhang · Huaizhe Xu · Shilong Liu · Lei Zhang · Lionel M. Ni · Heung-Yeung Shum	N/A	Code
Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis From Monocular Image	Yu Deng · Baoyuan Wang · Heung-Yeung Shum	N/A	Code
3DAvatarGAN: Bridging Domains for Personalized Editable Avatars	Rameen Abdal · Hsin-Ying Lee · Peihao Zhu · Menglei Chai · Aliaksandr Siarohin · Peter Wonka · Sergey Tulyakov	N/A	Code
FLEX: Full-Body Grasping Without Full-Body Grasps	Purva Tendulkar · Dídac Surís · Carl Vondrick	N/A	Code
UDE: A Unified Driving Engine for Human Motion Generation	Zixiang Zhou · Baoyuan Wang	N/A	Code
Video Test-Time Adaptation for Action Recognition	Wei Lin · Muhammad Jehanzeb Mirza · Mateusz Kozinski · Horst Possegger · Hilde Kuehne · Horst Bischof	N/A	Code
Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis	Duomin Wang · Yu Deng · Zixin Yin · Heung-Yeung Shum · Baoyuan Wang	N/A	Code
MIME: Human-Aware 3D Scene Generation	Hongwei Yi · Chun-Hao P. Huang · Shashank Tripathi · Lea Hering · Justus Thies · Michael J. Black	N/A	Code
AstroNet: When Astrocyte Meets Artificial Neural Network	Mengqiao Han · Liyuan Pan · Xiabi Liu	N/A	Code
Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction	Jianhua Sun · Yuxuan Li · Liang Chai · Cewu Lu	N/A	Code
ActMAD: Activation Matching To Align Distributions for Test-Time-Training	Muhammad Jehanzeb Mirza · Pol Jané Soneira · Wei Lin · Mateusz Kozinski · Horst Possegger · Horst Bischof	N/A	Code
Visual Prompt Multi-Modal Tracking	Jiawen Zhu · Simiao Lai · Xin Chen · Dong Wang · Huchuan Lu	N/A	Code
Reconstructing Signing Avatars From Video Using Linguistic Priors	Maria-Paola Forte · Peter Kulits · Chun-Hao P. Huang · Vasileios Choutas · Dimitrios Tzionas · Katherine J. Kuchenbecker · Michael J. Black	N/A	Code
Patch-Based 3D Natural Scene Generation From a Single Example	Weiyu Li · Xuelin Chen · Jue Wang · Baoquan Chen	N/A	Code
Re-Basin via Implicit Sinkhorn Differentiation	Fidel A. Guerrero Peña · Heitor Rapela Medeiros · Thomas Dubail · Masih Aminbeidokhti · Eric Granger · Marco Pedersoli	N/A	Code
Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention	Xuran Pan · Tianzhu Ye · Zhuofan Xia · Shiji Song · Gao Huang	N/A	Code
Planning-Oriented Autonomous Driving	Yihan Hu · Jiazhi Yang · Li Chen · Keyu Li · Chonghao Sima · Xizhou Zhu · Siqi Chai · Senyao Du · Tianwei Lin · Wenhai Wang · Lewei Lu · Xiaosong Jia · Qiang Liu · Jifeng Dai · Yu Qiao · Hongyang Li	N/A	Code
Enhancing Deformable Local Features by Jointly Learning To Detect and Describe Keypoints	Guilherme Potje · Felipe Cadar · André Araujo · Renato Martins · Erickson R. Nascimento	N/A	Code
3D Human Pose Estimation via Intuitive Physics	Shashank Tripathi · Lea Müller · Chun-Hao P. Huang · Omid Taheri · Michael J. Black · Dimitrios Tzionas	N/A	Code
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning	Ajinkya Tejankar · Maziar Sanjabi · Qifan Wang · Sinong Wang · Hamed Firooz · Hamed Pirsiavash · Liang Tan	N/A	Code
PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos	Zhiqiang Shen · Xiaoxiao Sheng · Longguang Wang · Yulan Guo · Qiong Liu · Xi Zhou	N/A	Code
Blowing in the Wind: CycleNet for Human Cinemagraphs From Still Images	Hugo Bertiche · Niloy J. Mitra · Kuldeep Kulkarni · Chun-Hao P. Huang · Tuanfeng Y. Wang · Meysam Madadi · Sergio Escalera · Duygu Ceylan	N/A	Code
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning	Kangning Liu · Weicheng Zhu · Yiqiu Shen · Sheng Liu · Narges Razavian · Krzysztof J. Geras · Carlos Fernandez-Granda	N/A	Code
Learning Steerable Function for Efficient Image Resampling	Jiacheng Li · Chang Chen · Wei Huang · Zhiqiang Lang · Fenglong Song · Youliang Yan · Zhiwei Xiong	N/A	Code
Deep Deterministic Uncertainty: A New Simple Baseline	Jishnu Mukhoti · Andreas Kirsch · Joost van Amersfoort · Philip H.S. Torr · Yarin Gal	N/A	Code
Removing Objects From Neural Radiance Fields	Silvan Weder · Guillermo Garcia-Hernando · Áron Monszpart · Marc Pollefeys · Gabriel J. Brostow · Michael Firman · Sara Vicente	N/A	Code
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations	Haoran Geng · Ziming Li · Yiran Geng · Jiayi Chen · Hao Dong · He Wang	N/A	Code
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection	Hao Huang · Ziyan Chen · Huanran Chen · Yongtao Wang · Kevin Zhang	N/A	Code
DINN360: Deformable Invertible Neural Network for Latitude-Aware 360° Image Rescaling	Yichen Guo · Mai Xu · Lai Jiang · Leonid Sigal · Yunjin Chen	N/A	Code
Learning Human-to-Robot Handovers From Point Clouds	Sammy Christen · Wei Yang · Claudia Pérez-D’Arpino · Otmar Hilliges · Dieter Fox · Yu-Wei Chao	N/A	Code
Multi-View Azimuth Stereo via Tangent Space Consistency	Xu Cao · Hiroaki Santo · Fumio Okura · Yasuyuki Matsushita	N/A	Code
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners	Zitian Chen · Yikang Shen · Mingyu Ding · Zhenfang Chen · Hengshuang Zhao · Erik G. Learned-Miller · Chuang Gan	N/A	Code
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction	Zerui Chen · Shizhe Chen · Cordelia Schmid · Ivan Laptev	N/A	Code
Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint	Hongyu Liu · Yibing Song · Qifeng Chen	N/A	Code
Generative Bias for Robust Visual Question Answering	Jae Won Cho · Dong-Jin Kim · Hyeonggon Ryu · In So Kweon	N/A	Code
Backdoor Defense via Deconfounded Representation Learning	Zaixi Zhang · Qi Liu · Zhicai Wang · Zepu Lu · Qingyong Hu	N/A	Code
High-Fidelity 3D GAN Inversion by Pseudo-Multi-View Optimization	Jiaxin Xie · Hao Ouyang · Jingtan Piao · Chenyang Lei · Qifeng Chen	N/A	Code
Affordance Diffusion: Synthesizing Hand-Object Interactions	Yufei Ye · Xueting Li · Abhinav Gupta · Shalini De Mello · Stan Birchfield · Jiaming Song · Shubham Tulsiani · Sifei Liu	N/A	Code
Zero-Shot Pose Transfer for Unrigged Stylized 3D Characters	Jiashun Wang · Xueting Li · Sifei Liu · Shalini De Mello · Orazio Gallo · Xiaolong Wang · Jan Kautz	N/A	Code
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting	Tarasha Khurana · Peiyun Hu · David Held · Deva Ramanan	N/A	Code
Are Data-Driven Explanations Robust Against Out-of-Distribution Data?	Tang Li · Fengchun Qiao · Mengmeng Ma · Xi Peng	N/A	Code
Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis	Kang Han · Wei Xiang	N/A	Code
Boosting Video Object Segmentation via Space-Time Correspondence Learning	Yurong Zhang · Liulei Li · Wenguan Wang · Rong Xie · Li Song · Wenjun Zhang	N/A	Code
X-Pruner: eXplainable Pruning for Vision Transformers	Lu Yu · Wei Xiang	N/A	Code
GazeNeRF: 3D-Aware Gaze Redirection With Neural Radiance Fields	Alessandro Ruzzi · Xiangwei Shi · Xi Wang · Gengyan Li · Shalini De Mello · Hyung Jin Chang · Xucong Zhang · Otmar Hilliges	N/A	Code
Real-Time Evaluation in Online Continual Learning: A New Hope	Yasir Ghunaim · Adel Bibi · Kumail Alhamoud · Motasem Alfarra · Hasan Abed Al Kader Hammoud · Ameya Prabhu · Philip H.S. Torr · Bernard Ghanem	N/A	Code
Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank	Shirui Huang · Keyan Wang · Huan Liu · Jun Chen · Yunsong Li	N/A	Code
A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories	Reza Akbarian Bafghi · Danna Gurari	N/A	Code
Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models	Jiarui Xu · Sifei Liu · Arash Vahdat · Wonmin Byeon · Xiaolong Wang · Shalini De Mello	N/A	Code
Reconstructing Animatable Categories From Videos	Gengshan Yang · Chaoyang Wang · N. Dinesh Reddy · Deva Ramanan	N/A	Code
Learning Visual Representations via Language-Guided Sampling	Mohamed El Banani · Karan Desai · Justin Johnson	N/A	Code
Four-View Geometry With Unknown Radial Distortion	Petr Hruby · Viktor Korotynskiy · Timothy Duff · Luke Oeding · Marc Pollefeys · Tomas Pajdla · Viktor Larsson	N/A	Code
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model	Gwanghyun Kim · Se Young Chun	N/A	Code
ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing	Zequn Zeng · Hao Zhang · Ruiying Lu · Dongsheng Wang · Bo Chen · Zhengjue Wang	N/A	Code
Feature Separation and Recalibration for Adversarial Robustness	Woo Jae Kim · Yoonki Cho · Junsik Jung · Sung-Eui Yoon	N/A	Code
Event-Based Blurry Frame Interpolation Under Blind Exposure	Wenming Weng · Yueyi Zhang · Zhiwei Xiong	N/A	Code
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures	Zhiqin Chen · Thomas Funkhouser · Peter Hedman · Andrea Tagliasacchi	N/A	Code
HandsOff: Labeled Dataset Generation With No Additional Human Annotations	Austin Xu · Mariya I. Vasileva · Achal Dave · Arjun Seshadri	N/A	Code
Analyzing and Diagnosing Pose Estimation With Attributions	Qiyuan He · Linlin Yang · Kerui Gu · Qiuxia Lin · Angela Yao	N/A	Code
Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction	Ziwei Yu · Chen Li · Linlin Yang · Xiaoxu Zheng · Michael Bi Mi · Gim Hee Lee · Angela Yao	N/A	Code
VIVE3D: Viewpoint-Independent Video Editing Using 3D-Aware GANs	Anna Frühstück · Nikolaos Sarafianos · Yuanlu Xu · Peter Wonka · Tony Tung	N/A	Code
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge	Changdi Yang · Pu Zhao · Yanyu Li · Wei Niu · Jiexiong Guan · Hao Tang · Minghai Qin · Bin Ren · Xue Lin · Yanzhi Wang	N/A	Code
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision	Xiaoshuai Zhang · Abhijit Kundu · Thomas Funkhouser · Leonidas Guibas · Hao Su · Kyle Genova	N/A	Code
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization	Bingfan Zhu · Yanchao Yang · Xulong Wang · Youyi Zheng · Leonidas Guibas	N/A	Code
OpenScene: 3D Scene Understanding With Open Vocabularies	Songyou Peng · Kyle Genova · Chiyu “Max” Jiang · Andrea Tagliasacchi · Marc Pollefeys · Thomas Funkhouser	N/A	Code
A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation	Hui Tang · Kui Jia	N/A	Code
Implicit View-Time Interpolation of Stereo Videos Using Multi-Plane Disparities and Non-Uniform Coordinates	Avinash Paliwal · Andrii Tsarov · Nima Khademi Kalantari	N/A	Code
A Large-Scale Homography Benchmark	Daniel Barath · Dmytro Mishkin · Michal Polic · Wolfgang Förstner · Jiri Matas	N/A	Code
Glocal Energy-Based Learning for Few-Shot Open-Set Recognition	Haoyu Wang · Guansong Pang · Peng Wang · Lei Zhang · Wei Wei · Yanning Zhang	N/A	Code
MEDIC: Remove Model Backdoors via Importance Driven Cloning	Qiuling Xu · Guanhong Tao · Jean Honorio · Yingqi Liu · Shengwei An · Guangyu Shen · Siyuan Cheng · Xiangyu Zhang	N/A	Code
Finding Geometric Models by Clustering in the Consensus Space	Daniel Barath · Denys Rozumnyi · Ivan Eichhardt · Levente Hajder · Jiri Matas	N/A	Code
Imagic: Text-Based Real Image Editing With Diffusion Models	Bahjat Kawar · Shiran Zada · Oran Lang · Omer Tov · Huiwen Chang · Tali Dekel · Inbar Mosseri · Michal Irani	N/A	Code
DeepLSD: Line Segment Detection and Refinement With Deep Image Gradients	Rémi Pautrat · Daniel Barath · Viktor Larsson · Martin R. Oswald · Marc Pollefeys	N/A	Code
H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction	Hao Xu · Tianyu Wang · Xiao Tang · Chi-Wing Fu	N/A	Code
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions	Yurui Zhu · Tianyu Wang · Xueyang Fu · Xuanyu Yang · Xin Guo · Jifeng Dai · Yu Qiao · Xiaowei Hu	N/A	Code
MoDi: Unconditional Motion Synthesis From Diverse Data	Sigal Raab · Inbal Leibovitch · Peizhuo Li · Kfir Aberman · Olga Sorkine-Hornung · Daniel Cohen-Or	N/A	Code
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction	Luke Melas-Kyriazi · Christian Rupprecht · Andrea Vedaldi	N/A	Code
SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation	Zimin Xia · Zimin Xia · Ted Lentsch · Julian F. P. Kooij	N/A	Code
RealFusion: 360° Reconstruction of Any Object From a Single Image	Luke Melas-Kyriazi · Iro Laina · Christian Rupprecht · Andrea Vedaldi	N/A	Code
Masked and Adaptive Transformer for Exemplar Based Image Translation	Chang Jiang · Fei Gao · Biao Ma · Yuhao Lin · Nannan Wang · Gang Xu	N/A	Code
DynamicStereo: Consistent Dynamic Depth From Stereo Videos	Nikita Karaev · Ignacio Rocco · Benjamin Graham · Natalia Neverova · Andrea Vedaldi · Christian Rupprecht	N/A	Code
Masked Representation Learning for Domain Generalized Stereo Matching	Zhibo Rao · Bangshu Xiong · Mingyi He · Mochu Xiang · Renjie He · Zhelun Shen · Xing Li	N/A	Code
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training	Runsen Xu · Tai Wang · Wenwei Zhang · Runjian Chen · Jinkun Cao · Jiangmiao Pang · Dahua Lin	N/A	Code
Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection	Tomoki Ichikawa · Yoshiki Fukao · Shohei Nobuhara · Ko Nishino	N/A	Code
Instant Multi-View Head Capture Through Learnable Registration	Timo Bolkart · Tianye Li · Michael J. Black	N/A	Code
POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo	Lixin Yang · Jian Xu · Licheng Zhong · Xinyu Zhan · Zhicheng Wang · Kejian Wu · Cewu Lu	N/A	Code
Diffusion-Based Generation, Optimization, and Planning in 3D Scenes	Siyuan Huang · Zan Wang · Puhao Li · Baoxiong Jia · Tengyu Liu · Yixin Zhu · Wei Liang · Song-Chun Zhu	N/A	Code
Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark	Muyao Niu · Zhuoxiao Li · Zhihang Zhong · Yinqiang Zheng	N/A	Code
SketchXAI: A First Look at Explainability for Human Sketches	Zhiyu Qu · Yulia Gryaditskaya · Ke Li · Kaiyue Pang · Tao Xiang · Yi-Zhe Song	N/A	Code
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation	Taeyeop Lee · Jonathan Tremblay · Valts Blukis · Bowen Wen · Byeong-Uk Lee · Inkyu Shin · Stan Birchfield · In So Kweon · Kuk-Jin Yoon	N/A	Code
Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction	Ryo Kawahara · Meng-Yu Jennifer Kuo · Shohei Nobuhara	N/A	Code
Reliability in Semantic Segmentation: Are We on the Right Track?	Pau de Jorge · Riccardo Volpi · Philip H.S. Torr · Grégory Rogez	N/A	Code
SMPConv: Self-Moving Point Representations for Continuous Convolution	Sanghyeon Kim · Eunbyung Park	N/A	Code
Few-Shot Geometry-Aware Keypoint Localization	Xingzhe He · Gaurav Bharaj · David Ferman · Helge Rhodin · Pablo Garrido	N/A	Code
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition	Xiaoyu Zhu · Po-Yao Huang · Junwei Liang · Celso M. de Melo · Alexander G. Hauptmann	N/A	Code
Knowledge Combination To Learn Rotated Detection Without Rotated Annotation	Tianyu Zhu · Bryce Ferenczi · Pulak Purkait · Tom Drummond · Hamid Rezatofighi · Anton van den Hengel	N/A	Code
OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering	Zhiyuan Ma · Xiangyu Zhu · Guo-Jun Qi · Zhen Lei · Lei Zhang	N/A	Code
Supervised Masked Knowledge Distillation for Few-Shot Transformers	Han Lin · Guangxing Han · Jiawei Ma · Shiyuan Huang · Xudong Lin · Shih-Fu Chang	N/A	Code
Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision	Jilan Xu · Junlin Hou · Yuejie Zhang · Rui Feng · Yi Wang · Yu Qiao · Weidi Xie	N/A	Code
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing	Xiaodan Li · Yuefeng Chen · Yao Zhu · Shuhui Wang · Rong Zhang · Hui Xue	N/A	Code
Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos	Liao Wang · Qiang Hu · Qihan He · Ziyu Wang · Jingyi Yu · Tinne Tuytelaars · Lan Xu · Minye Wu	N/A	Code
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm	Yichen Xie · Han Lu · Junchi Yan · Xiaokang Yang · Masayoshi Tomizuka · Wei Zhan	N/A	Code
Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering	Ruizhi Shao · Zerong Zheng · Hanzhang Tu · Boning Liu · Hongwen Zhang · Yebin Liu	N/A	Code
RiDDLE: Reversible and Diversified De-Identification With Latent Encryptor	Dongze Li · Wei Wang · Kang Zhao · Jing Dong · Tieniu Tan	N/A	Code
RobustNeRF: Ignoring Distractors With Robust Losses	Sara Sabour · Suhani Vora · Daniel Duckworth · Ivan Krasin · David J. Fleet · Andrea Tagliasacchi	N/A	Code
Bitstream-Corrupted JPEG Images Are Restorable: Two-Stage Compensation and Alignment Framework for Image Restoration	Wenyang Liu · Yi Wang · Kim-Hui Yap · Lap-Pui Chau	N/A	Code
HierVL: Learning Hierarchical Video-Language Embeddings	Kumar Ashutosh · Rohit Girdhar · Lorenzo Torresani · Kristen Grauman	N/A	Code
Phone2Proc: Bringing Robust Robots Into Our Chaotic World	Matt Deitke · Rose Hendrix · Ali Farhadi · Kiana Ehsani · Aniruddha Kembhavi	N/A	Code
A Light Touch Approach to Teaching Transformers Multi-View Geometry	Yash Bhalgat · João F. Henriques · Andrew Zisserman	N/A	Code
Clothed Human Performance Capture With a Double-Layer Neural Radiance Fields	Kangkan Wang · Guofeng Zhang · Suxu Cong · Jian Yang	N/A	Code
AutoFocusFormer: Image Segmentation off the Grid	Chen Ziwen · Kaushik Patnaik · Shuangfei Zhai · Alvin Wan · Zhile Ren · Alexander G. Schwing · Alex Colburn · Li Fuxin	N/A	Code
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion	Davis Rempe · Zhengyi Luo · Xue Bin Peng · Ye Yuan · Kris Kitani · Karsten Kreis · Sanja Fidler · Or Litany	N/A	Code
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking	Jinkun Cao · Jiangmiao Pang · Xinshuo Weng · Rawal Khirodkar · Kris Kitani	N/A	Code
Spider GAN: Leveraging Friendly Neighbors To Accelerate GAN Training	Siddarth Asokan · Chandra Sekhar Seelamantula	N/A	Code
Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation	Jiawei Du · Yidi Jiang · Vincent Y. F. Tan · Joey Tianyi Zhou · Haizhou Li	N/A	Code
Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo	Yuesong Wang · Zhaojie Zeng · Tao Guan · Wei Yang · Zhuo Chen · Wenkai Liu · Luoyuan Xu · Yawei Luo	N/A	Code
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares	Dominik Muhle · Lukas Koestler · Krishna Murthy Jatavallabhula · Daniel Cremers	N/A	Code
Learning Anchor Transformations for 3D Garment Animation	Fang Zhao · Zekun Li · Shaoli Huang · Junwu Weng · Tianfei Zhou · Guo-Sen Xie · Jue Wang · Ying Shan	N/A	Code
PyPose: A Library for Robot Learning With Physics-Based Optimization	Chen Wang · Dasong Gao · Kuan Xu · Junyi Geng · Yaoyu Hu · Yuheng Qiu · Bowen Li · Fan Yang · Brady Moon · Abhinav Pandey · Aryan · Jiahe Xu · Tianhao Wu · Haonan He · Daning Huang · Zhongqiang Ren · Shibo Zhao · Taimeng Fu · Pranay Reddy · Xiao Lin · Wenshan Wang · Jingnan Shi · Rajat Talak · Kun Cao · Yi Du · Han Wang · Huai Yu · Shanzhao Wang · Siyu Chen · Ananth Kashyap · Rohan Bandaru · Karthik Dantu · Jiajun Wu · Lihua Xie · Luca Carlone · Marco Hutter · Sebastian Scherer	N/A	Code
Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge	Steven Spratley · Krista A. Ehinger · Tim Miller	N/A	Code
DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata	Ehsan Pajouheshgar · Yitao Xu · Tong Zhang · Sabine Süsstrunk	N/A	Code
Learning Generative Structure Prior for Blind Text Image Super-Resolution	Xiaoming Li · Wangmeng Zuo · Chen Change Loy	N/A	Code
CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis	Juntian Zheng · Qingyuan Zheng · Lixing Fang · Yun Liu · Li Yi	N/A	Code
SCPNet: Semantic Scene Completion on Point Cloud	Zhaoyang Xia · Youquan Liu · Xin Li · Xinge Zhu · Yuexin Ma · Yikang Li · Yuenan Hou · Yu Qiao	N/A	Code
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation	Zhen Li · Zuo-Liang Zhu · Ling-Hao Han · Qibin Hou · Chun-Le Guo · Ming-Ming Cheng	N/A	Code
Behavioral Analysis of Vision-and-Language Navigation Agents	Zijiao Yang · Arjun Majumdar · Stefan Lee	N/A	Code
Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation	Yuwei Yang · Munawar Hayat · Zhao Jin · Chao Ren · Yinjie Lei	N/A	Code
Directional Connectivity-Based Segmentation of Medical Images	Ziyun Yang · Sina Farsiu	N/A	Code
ScanDMM: A Deep Markov Model of Scanpath Prediction for 360° Images	Xiangjie Sui · Yuming Fang · Hanwei Zhu · Shiqi Wang · Zhou Wang	N/A	Code
3D Shape Reconstruction of Semi-Transparent Worms	Thomas P. Ilett · Omer Yuval · Thomas Ranner · Netta Cohen · David C. Hogg	N/A	Code
Patch-Craft Self-Supervised Training for Correlated Image Denoising	Gregory Vaksman · Michael Elad	N/A	Code
NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images	Xiaoxu Meng · Weikai Chen · Bo Yang	N/A	Code
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering	Zongrui Li · Qian Zheng · Boxin Shi · Gang Pan · Xudong Jiang	N/A	Code
Context-Aware Alignment and Mutual Masking for 3D-Language Pre-Training	Zhao Jin · Munawar Hayat · Yuwei Yang · Yulan Guo · Yinjie Lei	N/A	Code
Unsupervised Object Localization: Observing the Background To Discover Objects	Oriane Siméoni · Chloé Sekkat · Gilles Puy · Antonín Vobecký · Éloi Zablocki · Patrick Pérez	N/A	Code
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery	Muli Yang · Liancheng Wang · Cheng Deng · Hanwang Zhang	N/A	Code
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion	Yushi Lan · Xuyi Meng · Shuai Yang · Chen Change Loy · Bo Dai	N/A	Code
NeuralField-LDM: Scene Generation With Hierarchical Latent Diffusion Models	Seung Wook Kim · Bradley Brown · Kangxue Yin · Karsten Kreis · Katja Schwarz · Daiqing Li · Robin Rombach · Antonio Torralba · Sanja Fidler	N/A	Code
ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation	Alexandre Boulch · Corentin Sautier · Björn Michele · Gilles Puy · Renaud Marlet	N/A	Code
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction	Donghao Zhou · Chunbin Gu · Junde Xu · Furui Liu · Qiong Wang · Guangyong Chen · Pheng-Ann Heng	N/A	Code
Aligning Bag of Regions for Open-Vocabulary Object Detection	Size Wu · Wenwei Zhang · Sheng Jin · Wentao Liu · Chen Change Loy	N/A	Code
Neuralangelo: High-Fidelity Neural Surface Reconstruction	Zhaoshuo Li · Thomas Müller · Alex Evans · Russell H. Taylor · Mathias Unberath · Ming-Yu Liu · Chen-Hsuan Lin	N/A	Code
PCT-Net: Full Resolution Image Harmonization Using Pixel-Wise Color Transformations	Julian Jorge Andrade Guerreiro · Mitsuru Nakazawa · Björn Stenger	N/A	Code
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers	Ryan Grainger · Thomas Paniagua · Xi Song · Naresh Cuntoor · Mun Wai Lee · Tianfu Wu	N/A	Code
Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation	Dong Zhao · Shuang Wang · Qi Zang · Dou Quan · Xiutiao Ye · Licheng Jiao	N/A	Code
MEGANE: Morphable Eyeglass and Avatar Network	Junxuan Li · Shunsuke Saito · Tomas Simon · Stephen Lombardi · Hongdong Li · Jason Saragih	N/A	Code
Generalizable Implicit Neural Representations via Instance Pattern Composers	Chiheon Kim · Doyup Lee · Saehoon Kim · Minsu Cho · Wook-Shin Han	N/A	Code
Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution	Bangyan Liao · Delin Qu · Yifei Xue · Huiqing Zhang · Yizhen Lao	N/A	Code
Distribution Shift Inversion for Out-of-Distribution Prediction	Runpeng Yu · Songhua Liu · Xingyi Yang · Xinchao Wang	N/A	Code
Wide-Angle Rectification via Content-Aware Conformal Mapping	Qi Zhang · Hongdong Li · Qing Wang	N/A	Code
WildLight: In-the-Wild Inverse Rendering With a Flashlight	Ziang Cheng · Junxuan Li · Hongdong Li	N/A	Code
Physics-Driven Diffusion Models for Impact Sound Synthesis From Videos	Kun Su · Kaizhi Qian · Eli Shlizerman · Antonio Torralba · Chuang Gan	N/A	Code
Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks	Markus Frey · Christian F. Doeller · Caswell Barry	N/A	Code
Inverting the Imaging Process by Learning an Implicit Camera Model	Xin Huang · Qi Zhang · Ying Feng · Hongdong Li · Qing Wang	N/A	Code
EC2: Emergent Communication for Embodied Control	Yao Mu · Shunyu Yao · Mingyu Ding · Ping Luo · Chuang Gan	N/A	Code
Light Source Separation and Intrinsic Image Decomposition Under AC Illumination	Yusaku Yoshida · Ryo Kawahara · Takahiro Okabe	N/A	Code
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding	Thanh-Dat Truong · Ngan Le · Bhiksha Raj · Jackson Cothren · Khoa Luu	N/A	Code
Learning Locally Editable Virtual Humans	Hsuan-I Ho · Lixin Xue · Jie Song · Otmar Hilliges	N/A	Code
Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation	Yuheng Lu · Chenfeng Xu · Xiaobao Wei · Xiaodong Xie · Masayoshi Tomizuka · Kurt Keutzer · Shanghang Zhang	N/A	Code
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning	Qiang He · Huangyuan Su · Jieyu Zhang · Xinwen Hou	N/A	Code
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection	Anthony Chen · Kevin Zhang · Renrui Zhang · Zihan Wang · Yuheng Lu · Yandong Guo · Shanghang Zhang	N/A	Code
OrienterNet: Visual Localization in 2D Public Maps With Neural Matching	Paul-Edouard Sarlin · Daniel DeTone · Tsun-Yi Yang · Armen Avetisyan · Julian Straub · Tomasz Malisiewicz · Samuel Rota Bulò · Richard Newcombe · Peter Kontschieder · Vasileios Balntas	N/A	Code
Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation	Yixin Zhang · Zilei Wang · Weinan He	N/A	Code
Efficient Movie Scene Detection Using State-Space Transformers	Md Mohaiminul Islam · Mahmudul Hasan · Kishan Shamsundar Athrey · Tony Braskich · Gedas Bertasius	N/A	Code
Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction	Mingfang Zhang · Jinglu Wang · Xiao Li · Yifei Huang · Yoichi Sato · Yan Lu	N/A	Code
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks	Xiao Han · Xiatian Zhu · Licheng Yu · Li Zhang · Yi-Zhe Song · Tao Xiang	N/A	Code
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning	Qian Jiang · Changyou Chen · Han Zhao · Liqun Chen · Qing Ping · Son Dinh Tran · Yi Xu · Belinda Zeng · Trishul Chilimbi	N/A	Code
Level-S$^2$fM: Structure From Motion on Neural Level Set of Implicit Surfaces	Yuxi Xiao · Nan Xue · Tianfu Wu · Gui-Song Xia	N/A	Code
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection	Xinjiang Wang · Xingyi Yang · Shilong Zhang · Yijiang Li · Litong Feng · Shijie Fang · Chengqi Lyu · Kai Chen · Wayne Zhang	N/A	Code
Dense Distinct Query for End-to-End Object Detection	Shilong Zhang · Xinjiang Wang · Jiaqi Wang · Jiangmiao Pang · Chengqi Lyu · Wenwei Zhang · Ping Luo · Kai Chen	N/A	Code
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation	Zicong Fan · Omid Taheri · Dimitrios Tzionas · Muhammed Kocabas · Manuel Kaufmann · Michael J. Black · Otmar Hilliges	N/A	Code
BiFormer: Vision Transformer With Bi-Level Routing Attention	Lei Zhu · Xinjiang Wang · Zhanghan Ke · Wayne Zhang · Rynson W.H. Lau	N/A	Code
Hierarchical Video-Moment Retrieval and Step-Captioning	Abhay Zala · Jaemin Cho · Satwik Kottur · Xilun Chen · Barlas Oguz · Yashar Mehdad · Mohit Bansal	N/A	Code
Progressive Open Space Expansion for Open-Set Model Attribution	Tianyun Yang · Danding Wang · Fan Tang · Xinying Zhao · Juan Cao · Sheng Tang	N/A	Code
Deep Depth Estimation From Thermal Image	Ukcheol Shin · Jinsun Park · In So Kweon	N/A	Code
Incremental 3D Semantic Scene Graph Prediction From RGB Sequences	Shun-Cheng Wu · Keisuke Tateno · Nassir Navab · Federico Tombari	N/A	Code
Visual Programming: Compositional Visual Reasoning Without Training	Tanmay Gupta · Aniruddha Kembhavi	N/A	Code
Change-Aware Sampling and Contrastive Learning for Satellite Images	Utkarsh Mall · Bharath Hariharan · Kavita Bala	N/A	Code
NULL-Text Inversion for Editing Real Images Using Guided Diffusion Models	Ron Mokady · Amir Hertz · Kfir Aberman · Yael Pritch · Daniel Cohen-Or	N/A	Code
RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors	Rui-Qi Wu · Zheng-Peng Duan · Chun-Le Guo · Zhi Chai · Chongyi Li	N/A	Code
Neural Part Priors: Learning To Optimize Part-Based Object Completion in RGB-D Scans	Aleksei Bokhovkin · Angela Dai	N/A	Code
Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy	Cheng Jiang · Xinhai Hou · Akhil Kondepudi · Asadur Chowdury · Christian W. Freudiger · Daniel A. Orringer · Honglak Lee · Todd C. Hollon	N/A	Code
Domain Expansion of Image Generators	Yotam Nitzan · Michaël Gharbi · Richard Zhang · Taesung Park · Jun-Yan Zhu · Daniel Cohen-Or · Eli Shechtman	N/A	Code
“Seeing” Electric Network Frequency From Events	Lexuan Xu · Guang Hua · Haijian Zhang · Lei Yu · Ning Qiao	N/A	Code
MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection	Wenda Zhao · Shigeng Xie · Fan Zhao · You He · Huchuan Lu	N/A	Code
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching	Jiahuan Yu · Jiahao Chang · Jianfeng He · Tianzhu Zhang · Jiyang Yu · Feng Wu	N/A	Code
SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence	Jiacheng Deng · Chuxin Wang · Jiahao Lu · Jianfeng He · Tianzhu Zhang · Jiyang Yu · Zhe Zhang	N/A	Code
Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection	Chang Xu · Jian Ding · Jinwang Wang · Wen Yang · Huai Yu · Lei Yu · Gui-Song Xia	N/A	Code
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning	Yu Wang · Pengchong Qiao · Chang Liu · Guoli Song · Xiawu Zheng · Jie Chen	N/A	Code
Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding	Praneeth Chakravarthula · Jim Aldon D’Souza · Ethan Tseng · Joe Bartusek · Felix Heide	N/A	Code
DNF: Decouple and Feedback Network for Seeing in the Dark	Xin Jin · Ling-Hao Han · Zhen Li · Chun-Le Guo · Zhi Chai · Chongyi Li	N/A	Code
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation	Samir Yitzhak Gadre · Mitchell Wortsman · Gabriel Ilharco · Ludwig Schmidt · Shuran Song	N/A	Code
NVTC: Nonlinear Vector Transform Coding	Runsen Feng · Zongyu Guo · Weiping Li · Zhibo Chen	N/A	Code
Towards Unified Scene Text Spotting Based on Sequence Generation	Taeho Kil · Seonghyeon Kim · Sukmin Seo · Yoonsik Kim · Daehee Kim	N/A	Code
Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation	Tsu-Jui Fu · Licheng Yu · Ning Zhang · Cheng-Yang Fu · Jong-Chyi Su · William Yang Wang · Sean Bell	N/A	Code
Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation	Pengchong Qiao · Zhidan Wei · Yu Wang · Zhennan Wang · Guoli Song · Fan Xu · Xiangyang Ji · Chang Liu · Jie Chen	N/A	Code
Progressively Optimized Local Radiance Fields for Robust View Synthesis	Andréas Meuleman · Yu-Lun Liu · Chen Gao · Jia-Bin Huang · Changil Kim · Min H. Kim · Johannes Kopf	N/A	Code
Neural Map Prior for Autonomous Driving	Xuan Xiong · Yicheng Liu · Tianyuan Yuan · Yue Wang · Yilun Wang · Hang Zhao	N/A	Code
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration	Yawei Li · Yuchen Fan · Xiaoyu Xiang · Denis Demandolx · Rakesh Ranjan · Radu Timofte · Luc Van Gool	N/A	Code
F2-NeRF: Fast Neural Radiance Field Training With Free Camera Trajectories	Peng Wang · Yuan Liu · Zhaoxi Chen · Lingjie Liu · Ziwei Liu · Taku Komura · Christian Theobalt · Wenping Wang	N/A	Code
Procedure-Aware Pretraining for Instructional Video Understanding	Honglu Zhou · Roberto Martín-Martín · Mubbasir Kapadia · Silvio Savarese · Juan Carlos Niebles	N/A	Code
High-Fidelity Guided Image Synthesis With Latent Diffusion Models	Jaskirat Singh · Stephen Gould · Liang Zheng	N/A	Code
Progressive Random Convolutions for Single Domain Generalization	Seokeon Choi · Debasmit Das · Sungha Choi · Seunghan Yang · Hyunsin Park · Sungrack Yun	N/A	Code
EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization	Junha Song · Jungsoo Lee · In So Kweon · Sungha Choi	N/A	Code
NoPe-NeRF: Optimising Neural Radiance Field With No Pose Prior	Wenjing Bian · Zirui Wang · Kejie Li · Jia-Wang Bian · Victor Adrian Prisacariu	N/A	Code
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds	Zihui Zhang · Bo Yang · Bing Wang · Bo Li	N/A	Code
Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning	Kaiyou Song · Jin Xie · Shan Zhang · Zimeng Luo	N/A	Code
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations	Jiahao Zhang · Anoop Cherian · Yanbin Liu · Yizhak Ben-Shabat · Cristian Rodriguez · Stephen Gould	N/A	Code
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields	Mohammad Mahdi Johari · Camilla Carta · François Fleuret	N/A	Code
AutoRecon: Automated 3D Object Discovery and Reconstruction	Yuang Wang · Xingyi He · Sida Peng · Haotong Lin · Hujun Bao · Xiaowei Zhou	N/A	Code
Ultra-High Resolution Segmentation With Ultra-Rich Context: A Novel Benchmark	Deyi Ji · Feng Zhao · Hongtao Lu · Mingyuan Tao · Jieping Ye	N/A	Code
NeUDF: Leaning Neural Unsigned Distance Fields With Volume Rendering	Yu-Tao Liu · Li Wang · Jie Yang · Weikai Chen · Xiaoxu Meng · Bo Yang · Lin Gao	N/A	Code
Improving Cross-Modal Retrieval With Set of Diverse Embeddings	Dongwon Kim · Namyup Kim · Suha Kwak	N/A	Code
An Image Quality Assessment Dataset for Portraits	Nicolas Chahine · Stefania Calarasanu · Davide Garcia-Civiero · Théo Cayla · Sira Ferradans · Jean Ponce	N/A	Code
Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor	Hyeokjun Kweon · Sung-Hoon Yoon · Kuk-Jin Yoon	N/A	Code
NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer	Kun Zhou · Wenbo Li · Yi Wang · Tao Hu · Nianjuan Jiang · Xiaoguang Han · Jiangbo Lu	N/A	Code
ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations	Panos Achlioptas · Ian Huang · Minhyuk Sung · Sergey Tulyakov · Leonidas Guibas	N/A	Code
RelightableHands: Efficient Neural Relighting of Articulated Hand Models	Shun Iwase · Shunsuke Saito · Tomas Simon · Stephen Lombardi · Timur Bagautdinov · Rohan Joshi · Fabian Prada · Takaaki Shiratori · Yaser Sheikh · Jason Saragih	N/A	Code
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud	Ziqin Wang · Bowen Cheng · Lichen Zhao · Dong Xu · Yang Tang · Lu Sheng	N/A	Code
MVImgNet: A Large-Scale Dataset of Multi-View Images	Xianggang Yu · Mutian Xu · Yidan Zhang · Haolin Liu · Chongjie Ye · Yushuang Wu · Zizheng Yan · Chenming Zhu · Zhangyang Xiong · Tianyou Liang · Guanying Chen · Shuguang Cui · Xiaoguang Han	N/A	Code
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling With Informative-Preserved Reconstruction and Self-Distilled Consistency	Mingye Xu · Mutian Xu · Tong He · Wanli Ouyang · Yali Wang · Xiaoguang Han · Yu Qiao	N/A	Code
Self-Guided Diffusion Models	Vincent Tao Hu · David W. Zhang · Yuki M. Asano · Gertjan J. Burghouts · Cees G. M. Snoek	N/A	Code
REC-MV: REconstructing 3D Dynamic Cloth From Monocular Videos	Lingteng Qiu · Guanying Chen · Jiapeng Zhou · Mutian Xu · Junle Wang · Xiaoguang Han	N/A	Code
OneFormer: One Transformer To Rule Universal Image Segmentation	Jitesh Jain · Jiachen Li · Mang Tik Chiu · Ali Hassani · Nikita Orlov · Humphrey Shi	N/A	Code
Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations	Vibashan VS · Ning Yu · Chen Xing · Can Qin · Mingfei Gao · Juan Carlos Niebles · Vishal M. Patel · Ran Xu	N/A	Code
Multiclass Confidence and Localization Calibration for Object Detection	Bimsara Pathiraja · Malitha Gunawardhana · Muhammad Haris Khan	N/A	Code
Structured Kernel Estimation for Photon-Limited Deconvolution	Yash Sanghvi · Zhiyuan Mao · Stanley H. Chan	N/A	Code
CLIPPO: Image-and-Language Understanding From Pixels Only	Michael Tschannen · Basil Mustafa · Neil Houlsby	N/A	Code
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition	Lilang Lin · Jiahang Zhang · Jiaying Liu	N/A	Code
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging	Siddharth Somasundaram · Akshat Dave · Connor Henley · Ashok Veeraraghavan · Ramesh Raskar	N/A	Code
Shape-Aware Text-Driven Layered Video Editing	Yao-Chih Lee · Ji-Ze Genevieve Jang · Yi-Ting Chen · Elizabeth Qiu · Jia-Bin Huang	N/A	Code
FlexiViT: One Model for All Patch Sizes	Lucas Beyer · Pavel Izmailov · Alexander Kolesnikov · Mathilde Caron · Simon Kornblith · Xiaohua Zhai · Matthias Minderer · Michael Tschannen · Ibrahim Alabdulmohsin · Filip Pavetic	N/A	Code
Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks	Binghui Wang · Meng Pang · Yun Dong	N/A	Code
HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling	Yujian Zheng · Zirong Jin · Moran Li · Haibin Huang · Chongyang Ma · Shuguang Cui · Xiaoguang Han	N/A	Code
RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval	Yanglin Feng · Hongyuan Zhu · Dezhong Peng · Xi Peng · Peng Hu	N/A	Code
Learning Federated Visual Prompt in Null Space for MRI Reconstruction	Chun-Mei Feng · Bangjun Li · Xinxing Xu · Yong Liu · Huazhu Fu · Wangmeng Zuo	N/A	Code
VGFlow: Visibility Guided Flow Network for Human Reposing	Rishabh Jain · Krishna Kumar Singh · Mayur Hemani · Jingwan Lu · Mausoom Sarkar · Duygu Ceylan · Balaji Krishnamurthy	N/A	Code
Learning Attention As Disentangler for Compositional Zero-Shot Learning	Shaozhe Hao · Kai Han · Kwan-Yee K. Wong	N/A	Code
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces	Yiqun Wang · Ivan Skorokhodov · Peter Wonka	N/A	Code
Perception-Oriented Single Image Super-Resolution Using Optimal Objective Estimation	Seung Ho Park · Young Su Moon · Nam Ik Cho	N/A	Code
Learning To Exploit Temporal Structure for Biomedical Vision–Language Processing	Shruthi Bannur · Stephanie Hyland · Qianchu Liu · Fernando Pérez-García · Maximilian Ilse · Daniel C. Castro · Benedikt Boecking · Harshita Sharma · Kenza Bouzid · Anja Thieme · Anton Schwaighofer · Maria Wetscherek · Matthew P. Lungren · Aditya Nori · Javier Alvarez-Valle · Ozan Oktay	N/A	Code
TRACE: 5D Temporal Regression of Avatars With Dynamic Cameras in 3D Environments	Yu Sun · Qian Bao · Wu Liu · Tao Mei · Michael J. Black	N/A	Code
Neumann Network With Recursive Kernels for Single Image Defocus Deblurring	Yuhui Quan · Zicong Wu · Hui Ji	N/A	Code
Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation	Mattia Litrico · Alessio Del Bue · Pietro Morerio	N/A	Code
PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes	Ruoyu Wang · Zehao Yu · Shenghua Gao	N/A	Code
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference	Haoran You · Yunyang Xiong · Xiaoliang Dai · Bichen Wu · Peizhao Zhang · Haoqi Fan · Peter Vajda · Yingyan (Celine) Lin	N/A	Code
Attention-Based Point Cloud Edge Sampling	Chengzhi Wu · Junwei Zheng · Julius Pfrommer · Jürgen Beyerer	N/A	Code
Structured 3D Features for Reconstructing Controllable Avatars	Enric Corona · Mihai Zanfir · Thiemo Alldieck · Eduard Gabriel Bazavan · Andrei Zanfir · Cristian Sminchisescu	N/A	Code
Zero-Shot Referring Image Segmentation With Global-Local Context Features	Seonghoon Yu · Paul Hongsuck Seo · Jeany Son	N/A	Code
CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective	Junwen Xiong · Ganglai Wang · Peng Zhang · Wei Huang · Yufei Zha · Guangtao Zhai	N/A	Code
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic Segmentation	Anwesa Choudhuri · Girish Chowdhary · Alexander G. Schwing	N/A	Code
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields	Rohith Agaram · Shaurya Dewan · Rahul Sajnani · Adrien Poulenard · Madhava Krishna · Srinath Sridhar	N/A	Code
Decoupled Multimodal Distilling for Emotion Recognition	Yong Li · Yuanzhi Wang · Zhen Cui	N/A	Code
TensoIR: Tensorial Inverse Rendering	Haian Jin · Isabella Liu · Peijia Xu · Xiaoshuai Zhang · Songfang Han · Sai Bi · Xiaowei Zhou · Zexiang Xu · Hao Su	N/A	Code
Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning	Jiayi Guo · Chaofei Wang · You Wu · Eric Zhang · Kai Wang · Xingqian Xu · Shiji Song · Humphrey Shi · Gao Huang	N/A	Code
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection	Jiawei Ma · Yulei Niu · Jincheng Xu · Shiyuan Huang · Guangxing Han · Shih-Fu Chang	N/A	Code
Unbalanced Optimal Transport: A Unified Framework for Object Detection	Henri De Plaen · Pierre-François De Plaen · Johan A. K. Suykens · Marc Proesmans · Tinne Tuytelaars · Luc Van Gool	N/A	Code
NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation	Yu Yin · Kamran Ghasedi · HsiangTao Wu · Jiaolong Yang · Xin Tong · Yun Fu	N/A	Code
Masked Image Training for Generalizable Deep Image Denoising	Haoyu Chen · Jinjin Gu · Yihao Liu · Salma Abdel Magid · Chao Dong · Qiong Wang · Hanspeter Pfister · Lei Zhu	N/A	Code
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation	Mayu Otani · Riku Togashi · Yu Sawai · Ryosuke Ishigami · Yuta Nakashima · Esa Rahtu · Janne Heikkilä · Shin’ichi Satoh	N/A	Code
Towards Flexible Multi-Modal Document Models	Naoto Inoue · Kotaro Kikuchi · Edgar Simo-Serra · Mayu Otani · Kota Yamaguchi	N/A	Code
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style	Fengyin Lin · Mingkang Li · Da Li · Timothy Hospedales · Yi-Zhe Song · Yonggang Qi	N/A	Code
LidarGait: Benchmarking 3D Gait Recognition With Point Clouds	Chuanfu Shen · Chao Fan · Wei Wu · Rui Wang · George Q. Huang · Shiqi Yu	N/A	Code
OpenGait: Revisiting Gait Recognition Towards Better Practicality	Chao Fan · Junhao Liang · Chuanfu Shen · Saihui Hou · Yongzhen Huang · Shiqi Yu	N/A	Code
Towards Unsupervised Object Detection From LiDAR Point Clouds	Lunjun Zhang · Anqi Joyce Yang · Yuwen Xiong · Sergio Casas · Bin Yang · Mengye Ren · Raquel Urtasun	N/A	Code
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images	Ming Y. Lu · Bowen Chen · Andrew Zhang · Drew F. K. Williamson · Richard J. Chen · Tong Ding · Long Phi Le · Yung-Sung Chuang · Faisal Mahmood	N/A	Code
DivClust: Controlling Diversity in Deep Clustering	Ioannis Maniadis Metaxas · Georgios Tzimiropoulos · Ioannis Patras	N/A	Code
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning	Runqi Wang · Xiaoyue Duan · Guoliang Kang · Jianzhuang Liu · Shaohui Lin · Songcen Xu · Jinhu Lü · Baochang Zhang	N/A	Code
Unsupervised Continual Semantic Adaptation Through Neural Rendering	Zhizheng Liu · Francesco Milano · Jonas Frey · Roland Siegwart · Hermann Blum · Cesar Cadena	N/A	Code
Semi-Supervised Parametric Real-World Image Harmonization	Ke Wang · Michaël Gharbi · He Zhang · Zhihao Xia · Eli Shechtman	N/A	Code
EqMotion: Equivariant Multi-Agent Motion Prediction With Invariant Interaction Reasoning	Chenxin Xu · Robby T. Tan · Yuhong Tan · Siheng Chen · Yu Guang Wang · Xinchao Wang · Yanfeng Wang	N/A	Code
BUOL: A Bottom-Up Framework With Occupancy-Aware Lifting for Panoptic 3D Scene Reconstruction From a Single Image	Tao Chu · Pan Zhang · Qiong Liu · Jiaqi Wang	N/A	Code
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation	Ning Zhang · Francesco Nex · George Vosselman · Norman Kerle	N/A	Code
Novel-View Acoustic Synthesis	Changan Chen · Alexander Richard · Roman Shapovalov · Vamsi Krishna Ithapu · Natalia Neverova · Kristen Grauman · Andrea Vedaldi	N/A	Code
Audio-Visual Grouping Network for Sound Localization From Mixtures	Shentong Mo · Yapeng Tian	N/A	Code
Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations	Sagnik Majumder · Hao Jiang · Pierre Moulon · Ethan Henderson · Paul Calamia · Kristen Grauman · Vamsi Krishna Ithapu	N/A	Code
ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders	Sanghyun Woo · Shoubhik Debnath · Ronghang Hu · Xinlei Chen · Zhuang Liu · In So Kweon · Saining Xie	N/A	Code
Collaboration Helps Camera Overtake LiDAR in 3D Detection	Yue Hu · Yifan Lu · Runsheng Xu · Weidi Xie · Siheng Chen · Yanfeng Wang	N/A	Code
Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment	Runqi Wang · Hao Zheng · Xiaoyue Duan · Jianzhuang Liu · Yuning Lu · Tian Wang · Songcen Xu · Baochang Zhang	N/A	Code
MetaCLUE: Towards Comprehensive Visual Metaphors Research	Arjun R. Akula · Brendan Driscoll · Pradyumna Narayana · Soravit Changpinyo · Zhiwei Jia · Suyash Damle · Garima Pruthi · Sugato Basu · Leonidas Guibas · William Freeman · Yuanzhen Li · Varun Jampani	N/A	Code
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric	Pengxin Zeng · Yunfan Li · Peng Hu · Dezhong Peng · Jiancheng Lv · Xi Peng	N/A	Code
Visual Atoms: Pre-Training Vision Transformers With Sinusoidal Waves	Sora Takashima · Ryo Hayamizu · Nakamasa Inoue · Hirokatsu Kataoka · Rio Yokota	N/A	Code
3D-Aware Multi-Class Image-to-Image Translation With NeRFs	Senmao Li · Joost van de Weijer · Yaxing Wang · Fahad Shahbaz Khan · Meiqin Liu · Jian Yang	N/A	Code
E2PN: Efficient SE(3)-Equivariant Point Network	Minghan Zhu · Maani Ghaffari · William A. Clark · Huei Peng	N/A	Code
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing	Yichen Sheng · Jianming Zhang · Julien Philip · Yannick Hold-Geoffroy · Xin Sun · He Zhang · Lu Ling · Bedrich Benes	N/A	Code
UniSim: A Neural Closed-Loop Sensor Simulator	Ze Yang · Yun Chen · Jingkang Wang · Sivabalan Manivasagam · Wei-Chiu Ma · Anqi Joyce Yang · Raquel Urtasun	N/A	Code
Occlusion-Free Scene Recovery via Neural Radiance Fields	Chengxuan Zhu · Renjie Wan · Yunkai Tang · Boxin Shi	N/A	Code
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting With Neural Radiance Fields	Ashkan Mirzaei · Tristan Aumentado-Armstrong · Kosta Derpanis · Jonathan Kelly · Marcus A. Brubaker · Igor Gilitschenski · Alex Levinshtein	N/A	Code
Class-Incremental Exemplar Compression for Class-Incremental Learning	Zilin Luo · Yaoyao Liu · Bernt Schiele · Qianru Sun	N/A	Code
DETRs With Hybrid Matching	Ding Jia · Yuhui Yuan · Haodi He · Xiaopei Wu · Haojun Yu · Weihong Lin · Lei Sun · Chao Zhang · Han Hu	N/A	Code
3D Human Mesh Estimation From Virtual Markers	Xiaoxuan Ma · Jiajun Su · Chunyu Wang · Wentao Zhu · Yizhou Wang	N/A	Code
Objaverse: A Universe of Annotated 3D Objects	Matt Deitke · Dustin Schwenk · Jordi Salvador · Luca Weihs · Oscar Michel · Eli VanderBilt · Ludwig Schmidt · Kiana Ehsani · Aniruddha Kembhavi · Ali Farhadi	N/A	Code
Adjustment and Alignment for Unbiased Open Set Domain Adaptation	Wuyang Li · Jie Liu · Bo Han · Yixuan Yuan	N/A	Code
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition	Ishan Rajendrakumar Dave · Mamshad Nayeem Rizve · Chen Chen · Mubarak Shah	N/A	Code
EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging	Lishun Wang · Miao Cao · Xin Yuan	N/A	Code
Continual Detection Transformer for Incremental Object Detection	Yaoyao Liu · Bernt Schiele · Andrea Vedaldi · Christian Rupprecht	N/A	Code
Hierarchical Prompt Learning for Multi-Task Learning	Yajing Liu · Yuning Lu · Hao Liu · Yaozu An · Zhuoran Xu · Zhuokun Yao · Baofeng Zhang · Zhiwei Xiong · Chenguang Gui	N/A	Code
Boost Vision Transformer With GPU-Friendly Sparsity and Quantization	Chong Yu · Tao Chen · Zhongxue Gan · Jiayuan Fan	N/A	Code
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression	Junho Kim · Byung-Kwan Lee · Yong Man Ro	N/A	Code
Regularizing Second-Order Influences for Continual Learning	Zhicheng Sun · Yadong Mu · Gang Hua	N/A	Code
Heterogeneous Continual Learning	Divyam Madaan · Hongxu Yin · Wonmin Byeon · Jan Kautz · Pavlo Molchanov	N/A	Code
DP-NeRF: Deblurred Neural Radiance Field With Physical Scene Priors	Dogyoon Lee · Minhyeok Lee · Chajin Shin · Sangyoun Lee	N/A	Code
3D-POP – An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds With Marker-Based Motion Capture	Hemal Naik · Alex Hoi Hang Chan · Junran Yang · Mathilde Delacoux · Iain D. Couzin · Fumihiro Kano · Máté Nagy	N/A	Code
Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives	Daniel Widdowson · Vitaliy Kurlin	N/A	Code
Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation	Chunlu Li · Andreas Morel-Forster · Thomas Vetter · Bernhard Egger · Adam Kortylewski	N/A	Code
Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization	Shichao Dong · Jin Wang · Renhe Ji · Jiajun Liang · Haoqiang Fan · Zheng Ge	N/A	Code
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation	Qihao Liu · Adam Kortylewski · Alan L. Yuille	N/A	Code
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking	Yukang Chen · Jianhui Liu · Xiangyu Zhang · Xiaojuan Qi · Jiaya Jia	N/A	Code
1000 FPS HDR Video With a Spike-RGB Hybrid Camera	Yakun Chang · Chu Zhou · Yuchen Hong · Liwen Hu · Chao Xu · Tiejun Huang · Boxin Shi	N/A	Code
How to Backdoor Diffusion Models?	Sheng-Yen Chou · Pin-Yu Chen · Tsung-Yi Ho	N/A	Code
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification	Meike Nauta · Jörg Schlötterer · Maurice van Keulen · Christin Seifert	N/A	Code
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers	Siyuan Wei · Tianzhu Ye · Shen Zhang · Yao Tang · Jiajun Liang	N/A	Code
Energy-Efficient Adaptive 3D Sensing	Brevin Tilmon · Zhanghao Sun · Sanjeev J. Koppal · Yicheng Wu · Georgios Evangelidis · Ramzi Zahreddine · Gurunandan Krishnan · Sizhuo Ma · Jian Wang	N/A	Code
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data	Yuhao Chen · Xin Tan · Borui Zhao · Zhaowei Chen · Renjie Song · Jiajun Liang · Xuequan Lu	N/A	Code
Fix the Noise: Disentangling Source Feature for Controllable Domain Translation	Dongyeun Lee · Jae Young Lee · Doyeon Kim · Jaehyun Choi · Jaejun Yoo · Junmo Kim	N/A	Code
Learning Transferable Spatiotemporal Representations From Natural Script Knowledge	Ziyun Zeng · Yuying Ge · Xihui Liu · Bin Chen · Ping Luo · Shu-Tao Xia · Yixiao Ge	N/A	Code
Side Adapter Network for Open-Vocabulary Semantic Segmentation	Mengde Xu · Zheng Zhang · Fangyun Wei · Han Hu · Xiang Bai	N/A	Code
A Strong Baseline for Generalized Few-Shot Semantic Segmentation	Sina Hajimiri · Malik Boudiaf · Ismail Ben Ayed · Jose Dolz	N/A	Code
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations	Lei Hsiung · Yun-Yun Tsai · Pin-Yu Chen · Tsung-Yi Ho	N/A	Code
Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection	Nishant Kumar · Siniša Šegvić · Abouzar Eslami · Stefan Gumhold	N/A	Code
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction	Aggelina Chatziagapi · Dimitris Samaras	N/A	Code
Learning Semantic Relationship Among Instances for Image-Text Matching	Zheren Fu · Zhendong Mao · Yan Song · Yongdong Zhang	N/A	Code
Understanding Imbalanced Semantic Segmentation Through Neural Collapse	Zhisheng Zhong · Jiequan Cui · Yibo Yang · Xiaoyang Wu · Xiaojuan Qi · Xiangyu Zhang · Jiaya Jia	N/A	Code
SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates	Mikaela Angelina Uy · Ricardo Martin-Brualla · Leonidas Guibas · Ke Li	N/A	Code
MonoHuman: Animatable Human Neural Field From Monocular Video	Zhengming Yu · Wei Cheng · Xian Liu · Wayne Wu · Kwan-Yee Lin	N/A	Code
Affection: Learning Affective Explanations for Real-World Visual Data	Panos Achlioptas · Maks Ovsjanikov · Leonidas Guibas · Sergey Tulyakov	N/A	Code
Sharpness-Aware Gradient Matching for Domain Generalization	Pengfei Wang · Zhaoxiang Zhang · Zhen Lei · Lei Zhang	N/A	Code
Generalized Decoding for Pixel, Image, and Language	Xueyan Zou · Zi-Yi Dou · Jianwei Yang · Zhe Gan · Linjie Li · Chunyuan Li · Xiyang Dai · Harkirat Behl · Jianfeng Wang · Lu Yuan · Nanyun Peng · Lijuan Wang · Yong Jae Lee · Jianfeng Gao	N/A	Code
How You Feelin’? Learning Emotions and Mental States in Movie Scenes	Dhruv Srivastava · Aditya Kumar Singh · Makarand Tapaswi	N/A	Code
Improving Visual Representation Learning Through Perceptual Understanding	Samyakh Tukra · Frederick Hoffman · Ken Chatfield	N/A	Code
PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering	Han Yan · Celong Liu · Chao Ma · Xing Mei	N/A	Code
HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions	Anshul Shah · Aniket Roy · Ketul Shah · Shlok Mishra · David Jacobs · Anoop Cherian · Rama Chellappa	N/A	Code
FeatureBooster: Boosting Feature Descriptors With a Lightweight Neural Network	Xinjiang Wang · Zeyu Liu · Yu Hu · Wei Xi · Wenxian Yu · Danping Zou	N/A	Code
ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion	Sangmin Hong · Mohsen Yavartanoo · Reyhaneh Neshatavar · Kyoung Mu Lee	N/A	Code
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis	Allan Zhou · Moo Jin Kim · Lirui Wang · Pete Florence · Chelsea Finn	N/A	Code
Query-Centric Trajectory Prediction	Zikang Zhou · Jianping Wang · Yung-Hui Li · Yu-Kai Huang	N/A	Code
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding	Yanmin Wu · Xinhua Cheng · Renrui Zhang · Zesen Cheng · Jian Zhang	N/A	Code
Sliced Optimal Partial Transport	Yikun Bai · Bernhard Schmitzer · Matthew Thorpe · Soheil Kolouri	N/A	Code
PersonNeRF: Personalized Reconstruction From Photo Collections	Chung-Yi Weng · Pratul P. Srinivasan · Brian Curless · Ira Kemelmacher-Shlizerman	N/A	Code
Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers	Zhou Huang · Hang Dai · Tian-Zhu Xiang · Shuo Wang · Huai-Xin Chen · Jie Qin · Huan Xiong	N/A	Code
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images	Animesh Karnewar · Andrea Vedaldi · David Novotny · Niloy J. Mitra	N/A	Code
Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors	Gongjie Zhang · Zhipeng Luo · Zichen Tian · Jingyi Zhang · Xiaoqin Zhang · Shijian Lu	N/A	Code
Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images	Tiancheng Lin · Zhimiao Yu · Hongyu Hu · Yi Xu · Chang-Wen Chen	N/A	Code
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding	Minyoung Hwang · Jaeyeon Jeong · Minsoo Kim · Yoonseon Oh · Songhwai Oh	N/A	Code
Sketch2Saliency: Learning To Detect Salient Objects From Human Drawings	Ayan Kumar Bhunia · Subhadeep Koley · Amandeep Kumar · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
Picture That Sketch: Photorealistic Image Generation From Abstract Sketches	Subhadeep Koley · Ayan Kumar Bhunia · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not	Aneeshan Sain · Ayan Kumar Bhunia · Pinaki Nath Chowdhury · Subhadeep Koley · Tao Xiang · Yi-Zhe Song	N/A	Code
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data	Jihye Park · Sunwoo Kim · Soohyun Kim · Seokju Cho · Jaejun Yoo · Youngjung Uh · Seungryong Kim	N/A	Code
Depth Estimation From Indoor Panoramas With Neural Scene Representation	Wenjie Chang · Yueyi Zhang · Zhiwei Xiong	N/A	Code
What Can Human Sketches Do for Object Detection?	Pinaki Nath Chowdhury · Ayan Kumar Bhunia · Aneeshan Sain · Subhadeep Koley · Tao Xiang · Yi-Zhe Song	N/A	Code
SceneTrilogy: On Human Scene-Sketch and Its Complementarity With Photo and Text	Pinaki Nath Chowdhury · Ayan Kumar Bhunia · Aneeshan Sain · Subhadeep Koley · Tao Xiang · Yi-Zhe Song	N/A	Code
Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer	Jingpei Lu · Florian Richter · Michael C. Yip	N/A	Code
Fine-Grained Audible Video Description	Xuyang Shen · Dong Li · Jinxing Zhou · Zhen Qin · Bowen He · Xiaodong Han · Aixuan Li · Mochu Xiang · Lingpeng Kong · Meng Wang · Yu Qiao · Yiran Zhong	N/A	Code
EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention	Xinyu Liu · Houwen Peng · Ningxin Zheng · Yuqing Yang · Han Hu · Yixuan Yuan	N/A	Code
Relightable Neural Human Assets From Multi-View Gradient Illuminations	Taotao Zhou · Kai He · Di Wu · Teng Xu · Qixuan Zhang · Kuixiang Shao · Wenzheng Chen · Lan Xu · Jingyi Yu	N/A	Code
Music-Driven Group Choreography	Nhat Le · Thang Pham · Tuong Do · Erman Tjiputra · Quang D. Tran · Anh Nguyen	N/A	Code
DIP: Dual Incongruity Perceiving Network for Sarcasm Detection	Changsong Wen · Guoli Jia · Jufeng Yang	N/A	Code
MagicPony: Learning Articulated 3D Animals in the Wild	Shangzhe Wu · Ruining Li · Tomas Jakab · Christian Rupprecht · Andrea Vedaldi	N/A	Code
Preserving Linear Separability in Continual Learning by Backward Feature Projection	Qiao Gu · Dongsub Shim · Florian Shkurti	N/A	Code
Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues	Xingyu Ren · Jiankang Deng · Chao Ma · Yichao Yan · Xiaokang Yang	N/A	Code
HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models	Shan Ning · Longtian Qiu · Yongfei Liu · Xuming He	N/A	Code
Regularization of Polynomial Networks for Image Recognition	Grigorios G. Chrysos · Bohan Wang · Jiankang Deng · Volkan Cevher	N/A	Code
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR	Aneeshan Sain · Ayan Kumar Bhunia · Subhadeep Koley · Pinaki Nath Chowdhury · Soumitri Chattopadhyay · Tao Xiang · Yi-Zhe Song	N/A	Code
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement	Yuhui Wu · Chen Pan · Guoqing Wang · Yang Yang · Jiwei Wei · Chongyi Li · Heng Tao Shen	N/A	Code
Block Selection Method for Using Feature Norm in Out-of-Distribution Detection	Yeonguk Yu · Sungho Shin · Seongju Lee · Changhyun Jun · Kyoobin Lee	N/A	Code
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model With Discrete and Continuous Denoising	Mohammad Amin Shabani · Sepidehsadat Hosseini · Yasutaka Furukawa	N/A	Code
Integral Neural Networks	Kirill Solodskikh · Azim Kurbanov · Ruslan Aydarkhanov · Irina Zhelavskaya · Yury Parfenov · Dehua Song · Stamatios Lefkimmiatis	N/A	Code
FitMe: Deep Photorealistic 3D Morphable Model Avatars	Alexandros Lattas · Stylianos Moschoglou · Stylianos Ploumpis · Baris Gecer · Jiankang Deng · Stefanos Zafeiriou	N/A	Code
Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment	Kim Sung-Bin · Arda Senocak · Hyunwoo Ha · Andrew Owens · Tae-Hyun Oh	N/A	Code
Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup	Junyoung Byun · Myung-Joon Kwon · Seungju Cho · Yoonji Kim · Changick Kim	N/A	Code
Initialization Noise in Image Gradients and Saliency Maps	Ann-Christin Woerl · Jan Disselhoff · Michael Wand	N/A	Code
Two-Shot Video Object Segmentation	Kun Yan · Xiao Li · Fangyun Wei · Jinglu Wang · Chenbin Zhang · Ping Wang · Yan Lu	N/A	Code
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow	Itai Lang · Dror Aiger · Forrester Cole · Shai Avidan · Michael Rubinstein	N/A	Code
Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM	Hengyi Wang · Jingwen Wang · Lourdes Agapito	N/A	Code
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation	Shuting He · Henghui Ding · Wei Jiang	N/A	Code
Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments	Masakazu Yoshimura · Junji Otsuka · Atsushi Irie · Takeshi Ohashi	N/A	Code
Diffusion-Based Signed Distance Fields for 3D Shape Generation	Jaehyeok Shim · Changwoo Kang · Kyungdon Joo	N/A	Code
Handwritten Text Generation From Visual Archetypes	Vittorio Pippi · Silvia Cascianelli · Rita Cucchiara	N/A	Code
Novel Class Discovery for 3D Point Cloud Semantic Segmentation	Luigi Riz · Cristiano Saltori · Elisa Ricci · Fabio Poiesi	N/A	Code
DeltaEdit: Exploring Text-Free Training for Text-Driven Image Manipulation	Yueming Lyu · Tianwei Lin · Fu Li · Dongliang He · Jing Dong · Tieniu Tan	N/A	Code
SkyEye: Self-Supervised Bird’s-Eye-View Semantic Mapping Using Monocular Frontal View Images	Nikhil Gosala · Kürsat Petek · Paulo L. J. Drews-Jr · Wolfram Burgard · Abhinav Valada	N/A	Code
Towards Open-World Segmentation of Parts	Tai-Yu Pan · Qing Liu · Wei-Lun Chao · Brian Price	N/A	Code
DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization	Chao Chen · Xinhao Liu · Yiming Li · Li Ding · Chen Feng	N/A	Code
SINE: SINgle Image Editing With Text-to-Image Diffusion Models	Zhixing Zhang · Ligong Han · Arnab Ghosh · Dimitris N. Metaxas · Jian Ren	N/A	Code
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection	Long Li · Junwei Han · Ni Zhang · Nian Liu · Salman Khan · Hisham Cholakkal · Rao Muhammad Anwer · Fahad Shahbaz Khan	N/A	Code
TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization	Fabrizio Guillaro · Davide Cozzolino · Avneesh Sud · Nicholas Dufour · Luisa Verdoliva	N/A	Code
SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction	Yukang Cao · Kai Han · Kwan-Yee K. Wong	N/A	Code
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings	Daniel J. Trosten · Rwiddhi Chakraborty · Sigurd Løkse · Kristoffer Knutsen Wickstrøm · Robert Jenssen · Michael C. Kampffmeyer	N/A	Code
MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis	Tianhong Li · Huiwen Chang · Shlok Mishra · Han Zhang · Dina Katabi · Dilip Krishnan	N/A	Code
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection	Lianyu Wang · Meng Wang · Daoqiang Zhang · Huazhu Fu	N/A	Code
OvarNet: Towards Open-Vocabulary Object Attribute Recognition	Keyan Chen · Xiaolong Jiang · Yao Hu · Xu Tang · Yan Gao · Jianqi Chen · Weidi Xie	N/A	Code
GINA-3D: Learning To Generate Implicit Neural Assets in the Wild	Bokui Shen · Xinchen Yan · Charles R. Qi · Mahyar Najibi · Boyang Deng · Leonidas Guibas · Yin Zhou · Dragomir Anguelov	N/A	Code
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation	Qitao Zhao · Ce Zheng · Mengyuan Liu · Pichao Wang · Chen Chen	N/A	Code
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization	Huan Ren · Wenfei Yang · Tianzhu Zhang · Yongdong Zhang	N/A	Code
Learning Partial Correlation Based Deep Visual Representation for Image Classification	Saimunur Rahman · Piotr Koniusz · Lei Wang · Luping Zhou · Peyman Moghadam · Changming Sun	N/A	Code
Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph	Rixin Zhou · Jiafu Wei · Qian Zhang · Ruihua Qi · Xi Yang · Chuntao Li	N/A	Code
DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects	Chen Bao · Helin Xu · Yuzhe Qin · Xiaolong Wang	N/A	Code
Modeling the Distributional Uncertainty for Salient Object Detection Models	Xinyu Tian · Jing Zhang · Mochu Xiang · Yuchao Dai	N/A	Code
Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces	Fahad Shamshad · Koushik Srivatsan · Karthik Nandakumar	N/A	Code
Scene-Aware Egocentric 3D Human Pose Estimation	Jian Wang · Diogo Luvizon · Weipeng Xu · Lingjie Liu · Kripasindhu Sarkar · Christian Theobalt	N/A	Code
Camouflaged Instance Segmentation via Explicit De-Camouflaging	Naisong Luo · Yuwen Pan · Rui Sun · Tianzhu Zhang · Zhiwei Xiong · Feng Wu	N/A	Code
N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution	Haram Choi · Jeongmin Lee · Jihoon Yang	N/A	Code
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding	Gyeongman Kim · Hajin Shim · Hyunsu Kim · Yunjey Choi · Junho Kim · Eunho Yang	N/A	Code
GLIGEN: Open-Set Grounded Text-to-Image Generation	Yuheng Li · Haotian Liu · Qingyang Wu · Fangzhou Mu · Jianwei Yang · Jianfeng Gao · Chunyuan Li · Yong Jae Lee	N/A	Code
Balanced Spherical Grid for Egocentric View Synthesis	Changwoon Choi · Sang Min Kim · Young Min Kim	N/A	Code
V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception	Runsheng Xu · Xin Xia · JINLONG LI · Hanzhao Li · Shuo Zhang · Zhengzhong Tu · Zonglin Meng · Hao Xiang · Xiaoyu Dong · Rui Song · Hongkai Yu · Bolei Zhou · Jiaqi Ma	N/A	Code
VindLU: A Recipe for Effective Video-and-Language Pretraining	Feng Cheng · Xizi Wang · Jie Lei · David Crandall · Mohit Bansal · Gedas Bertasius	N/A	Code
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation	Jie Qin · Jie Wu · Pengxiang Yan · Ming Li · Ren Yuxi · Xuefeng Xiao · Yitong Wang · Rui Wang · Shilei Wen · Xin Pan · Xingang Wang	N/A	Code
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization	Zhixiang Min · Bingbing Zhuang · Samuel Schulter · Buyu Liu · Enrique Dunn · Manmohan Chandraker	N/A	Code
ABCD: Arbitrary Bitwise Coefficient for De-Quantization	Woo Kyoung Han · Byeonghun Lee · Sang Hyun Park · Kyong Hwan Jin	N/A	Code
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery	Sheng Zhang · Salman Khan · Zhiqiang Shen · Muzammal Naseer · Guangyi Chen · Fahad Shahbaz Khan	N/A	Code
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives	Chuntao Ding · Zhichao Lu · Shangguang Wang · Ran Cheng · Vishnu Naresh Boddeti	N/A	Code
MaPLe: Multi-Modal Prompt Learning	Muhammad Uzair Khattak · Hanoona Rasheed · Muhammad Maaz · Salman Khan · Fahad Shahbaz Khan	N/A	Code
Revisiting Residual Networks for Adversarial Robustness	Shihua Huang · Zhichao Lu · Kalyanmoy Deb · Vishnu Naresh Boddeti	N/A	Code
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification	Youngwook Kim · Jae Myung Kim · Jieun Jeong · Cordelia Schmid · Zeynep Akata · Jungwoo Lee	N/A	Code
Human Pose Estimation in Extremely Low-Light Conditions	Sohyun Lee · Jaesung Rim · Boseung Jeong · Geonu Kim · Byungju Woo · Haechan Lee · Sunghyun Cho · Suha Kwak	N/A	Code
Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution	Chenfan Qu · Chongyu Liu · Yuliang Liu · Xinhong Chen · Dezhi Peng · Fengjun Guo · Lianwen Jin	N/A	Code
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene	Minjung Son · Jeong Joon Park · Leonidas Guibas · Gordon Wetzstein	N/A	Code
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms	Qiuhong Anna Wei · Sijie Ding · Jeong Joon Park · Rahul Sajnani · Adrien Poulenard · Srinath Sridhar · Leonidas Guibas	N/A	Code
MACARONS: Mapping and Coverage Anticipation With RGB Online Self-Supervision	Antoine Guédon · Tom Monnier · Pascal Monasse · Vincent Lepetit	N/A	Code
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction	Zhen Wang · Shijie Zhou · Jeong Joon Park · Despoina Paschalidou · Suya You · Gordon Wetzstein · Leonidas Guibas · Achuta Kadambi	N/A	Code
Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos	Rohit Gupta · Anirban Roy · Claire Christensen · Sujeong Kim · Sarah Gerard · Madeline Cincebeaux · Ajay Divakaran · Todd Grindal · Mubarak Shah	N/A	Code
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network	Xuan Shen · Yaohua Wang · Ming Lin · Yilun Huang · Hao Tang · Xiuyu Sun · Yanzhi Wang	N/A	Code
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects	Marco Toschi · Riccardo De Matteo · Riccardo Spezialetti · Daniele De Gregorio · Luigi Di Stefano · Samuele Salti	N/A	Code
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields	Brian K. S. Isaac-Medina · Chris G. Willcocks · Toby P. Breckon	N/A	Code
A Generalized Framework for Video Instance Segmentation	Miran Heo · Sukjun Hwang · Jeongseok Hyun · Hanjung Kim · Seoung Wug Oh · Joon-Young Lee · Seon Joo Kim	N/A	Code
Video Probabilistic Diffusion Models in Projected Latent Space	Sihyun Yu · Kihyuk Sohn · Subin Kim · Jinwoo Shin	N/A	Code
X-Avatar: Expressive Human Avatars	Kaiyue Shen · Chen Guo · Manuel Kaufmann · Juan Jose Zarate · Julien Valentin · Jie Song · Otmar Hilliges	N/A	Code
Hi4D: 4D Instance Segmentation of Close Human Interaction	Yifei Yin · Chen Guo · Manuel Kaufmann · Juan Jose Zarate · Jie Song · Otmar Hilliges	N/A	Code
Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction	Bin Fan · Yuxin Mao · Mochu Xiang · Zhexiong Wan · Qi Liu	N/A	Code
Vita-CLIP: Video and Text Adaptive CLIP via Multimodal Prompting	Syed Talal Wasim · Muzammal Naseer · Salman Khan · Fahad Shahbaz Khan · Mubarak Shah	N/A	Code
MaskSketch: Unpaired Structure-Guided Masked Image Generation	Dina Bashkirova · José Lezama · Kihyuk Sohn · Kate Saenko · Irfan Essa	N/A	Code
Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning	Zhuowan Li · Xingrui Wang · Elias Stengel-Eskin · Adam Kortylewski · Wufei Ma · Benjamin Van Durme · Alan L. Yuille	N/A	Code
CREPE: Can Vision-Language Foundation Models Reason Compositionally?	Zixian Ma · Jerry Hong · Mustafa Omer Gul · Mona Gandhi · Irena Gao · Ranjay Krishna	N/A	Code
ORCa: Glossy Objects As Radiance-Field Cameras	Kushagra Tiwary · Akshat Dave · Nikhil Behari · Tzofi Klinghoffer · Ashok Veeraraghavan · Ramesh Raskar	N/A	Code
Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems	Yangyang Shu · Anton van den Hengel · Lingqiao Liu	N/A	Code
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving	Ben Agro · Quinlan Sykora · Sergio Casas · Raquel Urtasun	N/A	Code
Improved Test-Time Adaptation for Domain Generalization	Liang Chen · Yong Zhang · Yibing Song · Ying Shan · Lingqiao Liu	N/A	Code
Wavelet Diffusion Models Are Fast and Scalable Image Generators	Hao Phung · Quan Dao · Anh Tran	N/A	Code
Robust Dynamic Radiance Fields	Yu-Lun Liu · Chen Gao · Andréas Meuleman · Hung-Yu Tseng · Ayush Saraf · Changil Kim · Yung-Yu Chuang · Johannes Kopf · Jia-Bin Huang	N/A	Code
MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation	Simon Suo · Kelvin Wong · Justin Xu · James Tu · Alexander Cui · Sergio Casas · Raquel Urtasun	N/A	Code
Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement	Nancy Mehta · Akshay Dudhane · Subrahmanyam Murala · Syed Waqas Zamir · Salman Khan · Fahad Shahbaz Khan	N/A	Code
Class Adaptive Network Calibration	Bingyuan Liu · Jérôme Rony · Adrian Galdran · Jose Dolz · Ismail Ben Ayed	N/A	Code
PROB: Probabilistic Objectness for Open World Object Detection	Orr Zohar · Kuan-Chieh Wang · Serena Yeung	N/A	Code
Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation	Min Shi · Zihao Huang · Xianzheng Ma · Xiaowei Hu · Zhiguo Cao	N/A	Code
HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering	Bang-Dang Pham · Phong Tran · Anh Tran · Cuong Pham · Rang Nguyen · Minh Hoai	N/A	Code
On the Effects of Self-Supervision and Contrastive Alignment in Deep Multi-View Clustering	Daniel J. Trosten · Sigurd Løkse · Robert Jenssen · Michael C. Kampffmeyer	N/A	Code
Visual Prompt Tuning for Generative Transfer Learning	Kihyuk Sohn · Huiwen Chang · José Lezama · Luisa Polania · Han Zhang · Yuan Hao · Irfan Essa · Lu Jiang	N/A	Code
Towards End-to-End Generative Modeling of Long Videos With Memory-Efficient Bidirectional Transformers	Jaehoon Yoo · Semin Kim · Doyup Lee · Chiheon Kim · Seunghoon Hong	N/A	Code
MAGVIT: Masked Generative Video Transformer	Lijun Yu · Yong Cheng · Kihyuk Sohn · José Lezama · Han Zhang · Huiwen Chang · Alexander G. Hauptmann · Ming-Hsuan Yang · Yuan Hao · Irfan Essa · Lu Jiang	N/A	Code
NICO++: Towards Better Benchmarking for Domain Generalization	Xingxuan Zhang · Yue He · Renzhe Xu · Han Yu · Zheyan Shen · Peng Cui	N/A	Code
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization	Xingxuan Zhang · Renzhe Xu · Han Yu · Hao Zou · Peng Cui	N/A	Code
All-in-Focus Imaging From Event Focal Stack	Hanyue Lou · Minggui Teng · Yixin Yang · Boxin Shi	N/A	Code
Clover: Towards a Unified Video-Language Alignment and Fusion Model	Jingjia Huang · Yinan Li · Jiashi Feng · Xinglong Wu · Xiaoshuai Sun · Rongrong Ji	N/A	Code
UMat: Uncertainty-Aware Single Image High Resolution Material Capture	Carlos Rodriguez-Pardo · Henar Domínguez-Elvira · David Pascual-Hernández · Elena Garces	N/A	Code
Polarimetric iToF: Measuring High-Fidelity Depth Through Scattering Media	Daniel S. Jeon · Andréas Meuleman · Seung-Hwan Baek · Min H. Kim	N/A	Code
Freestyle Layout-to-Image Synthesis	Han Xue · Zhiwu Huang · Qianru Sun · Li Song · Wenjun Zhang	N/A	Code
Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior	Yuekun Dai · Yihang Luo · Shangchen Zhou · Chongyi Li · Chen Change Loy	N/A	Code
Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn	Ondrej Bohdal · Yinbing Tian · Yongshuo Zong · Ruchika Chavhan · Da Li · Henry Gouk · Li Guo · Timothy Hospedales	N/A	Code
EXCALIBUR: Encouraging and Evaluating Embodied Exploration	Hao Zhu · Raghav Kapoor · So Yeon Min · Winson Han · Jiatai Li · Kaiwen Geng · Graham Neubig · Yonatan Bisk · Aniruddha Kembhavi · Luca Weihs	N/A	Code
Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns	Bartłomiej Olber · Krystian Radlak · Adam Popowicz · Michal Szczepankiewicz · Krystian Chachuła	N/A	Code
Shakes on a Plane: Unsupervised Depth Estimation From Unstabilized Photography	Ilya Chugunov · Yuxuan Zhang · Felix Heide	N/A	Code
JacobiNeRF: NeRF Shaping With Mutual Information Gradients	Xiaomeng Xu · Yanchao Yang · Kaichun Mo · Boxiao Pan · Li Yi · Leonidas Guibas	N/A	Code
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers	Jihao Liu · Xin Huang · Jinliang Zheng · Yu Liu · Hongsheng Li	N/A	Code
Synthesizing Photorealistic Virtual Humans Through Cross-Modal Disentanglement	Siddarth Ravichandran · Ondřej Texler · Dimitar Dinev · Hyun Jae Kang	N/A	Code
CIMI4D: A Large Multimodal Climbing Motion Dataset Under Human-Scene Interactions	Ming Yan · Xin Wang · Yudi Dai · Siqi Shen · Chenglu Wen · Lan Xu · Yuexin Ma · Cheng Wang	N/A	Code
SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments	Yudi Dai · Yitai Lin · Xiping Lin · Chenglu Wen · Lan Xu · Hongwei Yi · Siqi Shen · Yuexin Ma · Cheng Wang	N/A	Code
Viewpoint Equivariance for Multi-View 3D Object Detection	Dian Chen · Jie Li · Vitor Guizilini · Rares Andrei Ambrus · Adrien Gaidon	N/A	Code
Balanced Product of Calibrated Experts for Long-Tailed Recognition	Emanuel Sanchez Aimar · Arvi Jonnarth · Michael Felsberg · Marco Kuhlmann	N/A	Code
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation	Mario Döbler · Robert A. Marsden · Bin Yang	N/A	Code
Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation	Sara Sarto · Manuele Barraco · Marcella Cornia · Lorenzo Baraldi · Rita Cucchiara	N/A	Code
BITE: Beyond Priors for Improved Three-D Dog Pose Estimation	Nadine Rüegg · Shashank Tripathi · Konrad Schindler · Michael J. Black · Silvia Zuffi	N/A	Code
SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction	Zhizhuo Zhou · Shubham Tulsiani	N/A	Code
PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation	Liwen Zhang · Xinyan Zhang · Youcheng Zhang · Yufei Guo · Yuanpei Chen · Xuhui Huang · Zhe Ma	N/A	Code
Masked Wavelet Representation for Compact Neural Radiance Fields	Daniel Rho · Byeonghyeon Lee · Seungtae Nam · Joo Chan Lee · Jong Hwan Ko · Eunbyung Park	N/A	Code
Guided Depth Super-Resolution by Deep Anisotropic Diffusion	Nando Metzger · Rodrigo Caye Daudt · Konrad Schindler	N/A	Code
Masked Images Are Counterfactual Samples for Robust Fine-Tuning	Yao Xiao · Ziyi Tang · Pengxu Wei · Cong Liu · Liang Lin	N/A	Code
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration	Guofeng Mei · Hao Tang · Xiaoshui Huang · Weijie Wang · Juan Liu · Jian Zhang · Luc Van Gool · Qiang Wu	N/A	Code
ECON: Explicit Clothed Humans Optimized via Normal Integration	Yuliang Xiu · Jinlong Yang · Xu Cao · Dimitrios Tzionas · Michael J. Black	N/A	Code
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection	Xixi Liu · Yaroslava Lochman · Christopher Zach	N/A	Code
OCTET: Object-Aware Counterfactual Explanations	Mehdi Zemni · Mickaël Chen · Éloi Zablocki · Hédi Ben-Younes · Patrick Pérez · Matthieu Cord	N/A	Code
Consistent View Synthesis With Pose-Guided Diffusion Models	Hung-Yu Tseng · Qinbo Li · Changil Kim · Suhib Alsisan · Jia-Bin Huang · Johannes Kopf	N/A	Code
GFPose: Learning 3D Human Pose Prior With Gradient Fields	Hai Ci · Mingdong Wu · Wentao Zhu · Xiaoxuan Ma · Hao Dong · Fangwei Zhong · Yizhou Wang	N/A	Code
Bayesian Posterior Approximation With Stochastic Ensembles	Oleksandr Balabanov · Bernhard Mehlig · Hampus Linander	N/A	Code
Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image	Donggun Kim · Hyeonjoong Jang · Inchul Kim · Min H. Kim	N/A	Code
Octree Guided Unoriented Surface Reconstruction	Chamin Hewa Koneputugodage · Yizhak Ben-Shabat · Stephen Gould	N/A	Code
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning	Chia-Wen Kuo · Zsolt Kira	N/A	Code
SUDS: Scalable Urban Dynamic Scenes	Haithem Turki · Jason Y. Zhang · Francesco Ferroni · Deva Ramanan	N/A	Code
Harmonious Feature Learning for Interactive Hand-Object Pose Estimation	Zhifeng Lin · Changxing Ding · Huan Yao · Zengsheng Kuang · Shaoli Huang	N/A	Code
Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer	Agus Gunawan · Soo Ye Kim · Hyeonjun Sim · Jae-Ho Lee · Munchurl Kim	N/A	Code
Trainable Projected Gradient Method for Robust Fine-Tuning	Junjiao Tian · Zecheng He · Xiaoliang Dai · Chih-Yao Ma · Yen-Cheng Liu · Zsolt Kira	N/A	Code
OReX: Object Reconstruction From Planar Cross-Sections Using Neural Fields	Haim Sawdayee · Amir Vaxman · Amit H. Bermano	N/A	Code
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects	Nick Heppert · Zubair Irshad · Sergey Zakharov · Katherine Liu · Rares Andrei Ambrus · Jeannette Bohg · Abhinav Valada · Thomas Kollar	N/A	Code
ACR: Attention Collaboration-Based Regressor for Arbitrary Two-Hand Reconstruction	Zhengdi Yu · Shaoli Huang · Chen Fang · Toby P. Breckon · Jue Wang	N/A	Code
Perception and Semantic Aware Regularization for Sequential Confidence Calibration	Zhenghua Peng · Yu Luo · Tianshui Chen · Keke Xu · Shuangping Huang	N/A	Code
Crowd3D: Towards Hundreds of People Reconstruction From a Single Image	Hao Wen · Jing Huang · Huili Cui · Haozhe Lin · Yu-Kun Lai · Lu Fang · Kun Li	N/A	Code
ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation	Ziqin Zhou · Yinjie Lei · Bowen Zhang · Lingqiao Liu · Yifan Liu	N/A	Code
Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing	Xiaokun Sun · Qiao Feng · Xiongzheng Li · Jinsong Zhang · Yu-Kun Lai · Jingyu Yang · Kun Li	N/A	Code
Skinned Motion Retargeting With Residual Perception of Motion Semantics & Geometry	Jiaxu Zhang · Junwu Weng · Di Kang · Fang Zhao · Shaoli Huang · Xuefei Zhe · Linchao Bao · Ying Shan · Jue Wang · Zhigang Tu	N/A	Code
Unknown Sniffer for Object Detection: Don’t Turn a Blind Eye to Unknown Objects	Wenteng Liang · Feng Xue · Yihao Liu · Guofeng Zhong · Anlong Ming	N/A	Code
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving	Angelika Ando · Spyros Gidaris · Andrei Bursuc · Gilles Puy · Alexandre Boulch · Renaud Marlet	N/A	Code
3D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data	Libing Zeng · Lele Chen · Wentao Bao · Zhong Li · Yi Xu · Junsong Yuan · Nima Khademi Kalantari	N/A	Code
Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data	Paul Hager · Martin J. Menten · Daniel Rueckert	N/A	Code
JRDB-Pose: A Large-Scale Dataset for Multi-Person Pose Estimation and Tracking	Edward Vendrow · Tho Le · Jianfei Cai · Hamid Rezatofighi	N/A	Code
Consistent Direct Time-of-Flight Video Depth Super-Resolution	Zhanghao Sun · Wei Ye · Jinhui Xiong · Gyeongmin Choe · Jialiang Wang · Shuochen Su · Rakesh Ranjan	N/A	Code
Correlational Image Modeling for Self-Supervised Visual Pre-Training	Wei Li · Jiahao Xie · Chen Change Loy	N/A	Code
CelebV-Text: A Large-Scale Facial Text-Video Dataset	Jianhui Yu · Hao Zhu · Liming Jiang · Chen Change Loy · Weidong Cai · Wayne Wu	N/A	Code
Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning	Wei Ji · Renjie Liang · Zhedong Zheng · Wenqiao Zhang · Shengyu Zhang · Juncheng Li · Mengze Li · Tat-seng Chua	N/A	Code
Learning 3D Scene Priors With 2D Supervision	Yinyu Nie · Angela Dai · Xiaoguang Han · Matthias Nießner	N/A	Code
Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera	Ruicheng Feng · Chongyi Li · Huaijin Chen · Shuai Li · Jinwei Gu · Chen Change Loy	N/A	Code
Siamese DETR	Zeren Chen · Gengshi Huang · Wei Li · Jianing Teng · Kun Wang · Jing Shao · Chen Change Loy · Lu Sheng	N/A	Code
Panoptic Video Scene Graph Generation	Jingkang Yang · Wenxuan Peng · Xiangtai Li · Zujin Guo · Liangyu Chen · Bo Li · Zheng Ma · Kaiyang Zhou · Wayne Zhang · Chen Change Loy · Ziwei Liu	N/A	Code
Randomized Adversarial Training via Taylor Expansion	Gaojie Jin · Xinping Yi · Dengyu Wu · Ronghui Mu · Xiaowei Huang	N/A	Code
Task Residual for Tuning Vision-Language Models	Tao Yu · Zhihe Lu · Xin Jin · Zhibo Chen · Xinchao Wang	N/A	Code
PACO: Parts and Attributes of Common Objects	Vignesh Ramanathan · Anmol Kalia · Vladan Petrovic · Yi Wen · Baixue Zheng · Baishan Guo · Rui Wang · Aaron Marquez · Rama Kovvuri · Abhishek Kadian · Amir Mousavi · Yiwen Song · Abhimanyu Dubey · Dhruv Mahajan	N/A	Code
CloSET: Modeling Clothed Humans on Continuous Surface With Explicit Template Decomposition	Hongwen Zhang · Siyou Lin · Ruizhi Shao · Yuxiang Zhang · Zerong Zheng · Han Huang · Yandong Guo · Yebin Liu	N/A	Code
Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement	Hao Zhu · Piotr Koniusz	N/A	Code
DualVector: Unsupervised Vector Font Synthesis With Dual-Part Representation	Ying-Tian Liu · Zhifei Zhang · Yuan-Chen Guo · Matthew Fisher · Zhaowen Wang · Song-Hai Zhang	N/A	Code
Invertible Neural Skinning	Yash Kant · Aliaksandr Siarohin · Riza Alp Guler · Menglei Chai · Jian Ren · Sergey Tulyakov · Igor Gilitschenski	N/A	Code
Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars	Jingxiang Sun · Xuan Wang · Lizhen Wang · Xiaoyu Li · Yong Zhang · Hongwen Zhang · Yebin Liu	N/A	Code
Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding	Morris Alper · Michael Fiman · Hadar Averbuch-Elor	N/A	Code
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning	James Seale Smith · Paola Cascante-Bonilla · Assaf Arbelle · Donghyun Kim · Rameswar Panda · David Cox · Diyi Yang · Zsolt Kira · Rogerio Feris · Leonid Karlinsky	N/A	Code
LINe: Out-of-Distribution Detection by Leveraging Important Neurons	Yong Hyun Ahn · Gyeong-Moon Park · Seong Tae Kim	N/A	Code
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models	Zhiqiu Lin · Samuel Yu · Zhiyi Kuang · Deepak Pathak · Deva Ramanan	N/A	Code
Panoptic Lifting for 3D Scene Understanding With Neural Fields	Yawar Siddiqui · Lorenzo Porzi · Samuel Rota Bulò · Norman Müller · Matthias Nießner · Angela Dai · Peter Kontschieder	N/A	Code
GamutMLP: A Lightweight MLP for Color Loss Recovery	Hoang M. Le · Brian Price · Scott Cohen · Michael S. Brown	N/A	Code
DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction	Dae-Young Song · HeeKyung Lee · Jeongil Seo · Donghyeon Cho	N/A	Code
NLOST: Non-Line-of-Sight Imaging With Transformer	Yue Li · Jiayong Peng · Juntian Ye · Yueyi Zhang · Feihu Xu · Zhiwei Xiong	N/A	Code
SeaThru-NeRF: Neural Radiance Fields in Scattering Media	Deborah Levy · Amit Peleg · Naama Pearl · Dan Rosenbaum · Derya Akkaynak · Simon Korman · Tali Treibitz	N/A	Code
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild	Garrick Brazil · Abhinav Kumar · Julian Straub · Nikhila Ravi · Justin Johnson · Georgia Gkioxari	N/A	Code
Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection	Chuangchuang Tan · Yao Zhao · Shikui Wei · Guanghua Gu · Yunchao Wei	N/A	Code
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation	Naoto Inoue · Kotaro Kikuchi · Edgar Simo-Serra · Mayu Otani · Kota Yamaguchi	N/A	Code
Learning Customized Visual Models With Retrieval-Augmented Knowledge	Haotian Liu · Kilho Son · Jianwei Yang · Ce Liu · Jianfeng Gao · Yong Jae Lee · Chunyuan Li	N/A	Code
MAIR: Multi-View Attention Inverse Rendering With 3D Spatially-Varying Lighting Estimation	JunYong Choi · SeokYeong Lee · Haesol Park · Seung-Won Jung · Ig-Jae Kim · Junghyun Cho	N/A	Code
Generalizing Dataset Distillation via Deep Generative Prior	George Cazenavette · Tongzhou Wang · Antonio Torralba · Alexei A. Efros · Jun-Yan Zhu	N/A	Code
Polarized Color Image Denoising	Zhuoxiao Li · Haiyang Jiang · Mingdeng Cao · Yinqiang Zheng	N/A	Code
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation	Haochen Wang · Xiaodan Du · Jiahao Li · Raymond A. Yeh · Greg Shakhnarovich	N/A	Code
FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs	Luke Rowe · Martin Ethier · Eli-Henry Dykhne · Krzysztof Czarnecki	N/A	Code
Mask-Free Video Instance Segmentation	Lei Ke · Martin Danelljan · Henghui Ding · Yu-Wing Tai · Chi-Keung Tang · Fisher Yu	N/A	Code
OVTrack: Open-Vocabulary Multiple Object Tracking	Siyuan Li · Tobias Fischer · Lei Ke · Henghui Ding · Martin Danelljan · Fisher Yu	N/A	Code
LightPainter: Interactive Portrait Relighting With Freehand Scribble	Yiqun Mei · He Zhang · Xuaner Zhang · Jianming Zhang · Zhixin Shu · Yilin Wang · Zijun Wei · Shi Yan · HyunJoon Jung · Vishal M. Patel	N/A	Code
Towards Scalable Neural Representation for Diverse Videos	Bo He · Xitong Yang · Hanyu Wang · Zuxuan Wu · Hao Chen · Shuaiyi Huang · Yixuan Ren · Ser-Nam Lim · Abhinav Shrivastava	N/A	Code
Teaching Matters: Investigating the Role of Supervision in Vision Transformers	Matthew Walmer · Saksham Suri · Kamal Gupta · Abhinav Shrivastava	N/A	Code
FlexNeRF: Photorealistic Free-Viewpoint Rendering of Moving Humans From Sparse Views	Vinoj Jayasundara · Amit Agrawal · Nicolas Heron · Abhinav Shrivastava · Larry S. Davis	N/A	Code
Leveraging Temporal Context in Low Representational Power Regimes	Camilo L. Fosco · SouYoung Jin · Emilie Josephs · Aude Oliva	N/A	Code
Painting 3D Nature in 2D: View Synthesis of Natural Scenes From a Single Semantic Mask	Shangzhan Zhang · Sida Peng · Tianrun Chen · Linzhan Mou · Haotong Lin · Kaicheng Yu · Yiyi Liao · Xiaowei Zhou	N/A	Code
Align and Attend: Multimodal Summarization With Dual Contrastive Losses	Bo He · Jun Wang · Jielin Qiu · Trung Bui · Abhinav Shrivastava · Zhaowen Wang	N/A	Code
SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network	Chuong Huynh · Yuqian Zhou · Zhe Lin · Connelly Barnes · Eli Shechtman · Sohrab Amirghodsi · Abhinav Shrivastava	N/A	Code
NIRVANA: Neural Implicit Representations of Videos With Adaptive Networks and Autoregressive Patch-Wise Modeling	Shishira R Maiya · Sharath Girish · Max Ehrlich · Hanyu Wang · Kwot Sin Lee · Patrick Poirson · Pengxiang Wu · Chen Wang · Abhinav Shrivastava	N/A	Code
Seeing Beyond the Brain: Conditional Diffusion Model With Sparse Masked Modeling for Vision Decoding	Zijiao Chen · Jiaxin Qing · Tiange Xiang · Wan Lin Yue · Juan Helen Zhou	N/A	Code
Position-Guided Text Prompt for Vision-Language Pre-Training	Jinpeng Wang · Pan Zhou · Mike Zheng Shou · Shuicheng Yan	N/A	Code
Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion Estimation	Xueyan Huang · Yueyi Zhang · Zhiwei Xiong	N/A	Code
MIST: Multi-Modal Iterative Spatial-Temporal Transformer for Long-Form Video Question Answering	Difei Gao · Luowei Zhou · Lei Ji · Linchao Zhu · Yi Yang · Mike Zheng Shou	N/A	Code
Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning	Tsai Hor Chan · Fernando Julio Cendra · Lan Ma · Guosheng Yin · Lequan Yu	N/A	Code
Making Vision Transformers Efficient From a Token Sparsification View	Shuning Chang · Pichao Wang · Ming Lin · Fan Wang · David Junhao Zhang · Rong Jin · Mike Zheng Shou	N/A	Code
Leverage Interactive Affinity for Affordance Learning	Hongchen Luo · Wei Zhai · Jing Zhang · Yang Cao · Dacheng Tao	N/A	Code
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection	Fan Lu · Kai Zhu · Wei Zhai · Kecheng Zheng · Yang Cao	N/A	Code
HARP: Personalized Hand Reconstruction From a Monocular RGB Video	Korrawe Karunratanakul · Sergey Prokudin · Otmar Hilliges · Siyu Tang	N/A	Code
Towards Effective Visual Representations for Partial-Label Learning	Shiyu Xia · Jiaqi Lv · Ning Xu · Gang Niu · Xin Geng	N/A	Code
SFD2: Semantic-Guided Feature Detection and Description	Fei Xue · Ignas Budvytis · Roberto Cipolla	N/A	Code
MetaPortrait: Identity-Preserving Talking Head Generation With Fast Personalized Adaptation	Bowen Zhang · Chenyang Qi · Pan Zhang · Bo Zhang · HsiangTao Wu · Dong Chen · Qifeng Chen · Yong Wang · Fang Wen	N/A	Code
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training	Gi-Cheon Kang · Sungdong Kim · Jin-Hwa Kim · Donghyun Kwak · Byoung-Tak Zhang	N/A	Code
Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields	Sungheon Park · Minjung Son · Seokhwan Jang · Young Chun Ahn · Ji-Yeon Kim · Nahyup Kang	N/A	Code
DiGA: Distil To Generalize and Then Adapt for Domain Adaptive Semantic Segmentation	Fengyi Shen · Akhil Gurram · Ziyuan Liu · He Wang · Alois Knoll	N/A	Code
Multimodal Prompting With Missing Modalities for Visual Recognition	Yi-Lun Lee · Yi-Hsuan Tsai · Wei-Chen Chiu · Chen-Yu Lee	N/A	Code
On Calibrating Semantic Segmentation Models: Analyses and an Algorithm	Dongdong Wang · Boqing Gong · Liqiang Wang	N/A	Code
IMP: Iterative Matching and Pose Estimation With Adaptive Pooling	Fei Xue · Ignas Budvytis · Roberto Cipolla	N/A	Code
Grid-Guided Neural Radiance Fields for Large Urban Scenes	Linning Xu · Yuanbo Xiangli · Sida Peng · Xingang Pan · Nanxuan Zhao · Christian Theobalt · Bo Dai · Dahua Lin	N/A	Code
Neural Voting Field for Camera-Space 3D Hand Pose Estimation	Lin Huang · Chung-Ching Lin · Kevin Lin · Lin Liang · Lijuan Wang · Junsong Yuan · Zicheng Liu	N/A	Code
Dense Network Expansion for Class Incremental Learning	Zhiyuan Hu · Yunsheng Li · Jiancheng Lyu · Dashan Gao · Nuno Vasconcelos	N/A	Code
FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre-Training	Yunpeng Han · Lisai Zhang · Qingcai Chen · Zhijian Chen · Zhonghua Li · Jianxin Yang · Zhao Cao	N/A	Code
Batch Model Consolidation: A Multi-Task Model Consolidation Framework	Iordanis Fostiropoulos · Jiaye Zhu · Laurent Itti	N/A	Code
Open-Vocabulary Attribute Detection	María A. Bravo · Sudhanshu Mittal · Simon Ging · Thomas Brox	N/A	Code
Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models	Nithin Gopalakrishnan Nair · Wele Gedara Chaminda Bandara · Vishal M. Patel	N/A	Code
BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection	Lei Yang · Kaicheng Yu · Tao Tang · Jun Li · Kun Yuan · Li Wang · Xinyu Zhang · Peng Chen	N/A	Code
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization	Chen Zhao · Shuming Liu · Karttikeya Mangalam · Bernard Ghanem	N/A	Code
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation	Nazmul Karim · Niluthpol Chowdhury Mithun · Abhinav Rajvanshi · Han-pang Chiu · Supun Samarasekera · Nazanin Rahnavard	N/A	Code
Are Deep Neural Networks SMARTer Than Second Graders?	Anoop Cherian · Kuan-Chuan Peng · Suhas Lohit · Kevin A. Smith · Joshua B. Tenenbaum	N/A	Code
Persistent Nature: A Generative Model of Unbounded 3D Worlds	Lucy Chai · Richard Tucker · Zhengqi Li · Phillip Isola · Noah Snavely	N/A	Code
InternImage: Exploring Large-Scale Vision Foundation Models With Deformable Convolutions	Wenhai Wang · Jifeng Dai · Zhe Chen · Zhenhang Huang · Zhiqi Li · Xizhou Zhu · Xiaowei Hu · Tong Lu · Lewei Lu · Hongsheng Li · Xiaogang Wang · Yu Qiao	N/A	Code
Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes	Rui Li · Dong Gong · Wei Yin · Hao Chen · Yu Zhu · Kaixuan Wang · Xiaozhi Chen · Jinqiu Sun · Yanning Zhang	N/A	Code
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets	Mingu Kang · Heon Song · Seonwook Park · Donggeun Yoo · Sérgio Pereira	N/A	Code
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions	Shuxuan Guo · Yinlin Hu · Jose M. Alvarez · Mathieu Salzmann	N/A	Code
Self-Supervised Representation Learning for CAD	Benjamin T. Jones · Michael Hu · Milin Kodnongbua · Vladimir G. Kim · Adriana Schulz	N/A	Code
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer	Xuanyao Chen · Zhijian Liu · Haotian Tang · Li Yi · Hang Zhao · Song Han	N/A	Code
Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views	Aayush Bansal · Michael Zollhöfer	N/A	Code
ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries	Junru Gu · Chenxu Hu · Tianyuan Zhang · Xuanyao Chen · Yilun Wang · Yue Wang · Hang Zhao	N/A	Code
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders	Wele Gedara Chaminda Bandara · Naman Patel · Ali Gholami · Mehdi Nikkhah · Motilal Agrawal · Vishal M. Patel	N/A	Code
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning	Xiaoyang Wu · Xin Wen · Xihui Liu · Hengshuang Zhao	N/A	Code
RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer	Jiahao Wang · Songyang Zhang · Yong Liu · Taiqiang Wu · Yujiu Yang · Xihui Liu · Kai Chen · Ping Luo · Dahua Lin	N/A	Code
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation	Devavrat Tomar · Guillaume Vray · Behzad Bozorgtabar · Jean-Philippe Thiran	N/A	Code
ObjectMatch: Robust Registration Using Canonical Object Correspondences	Can Gümeli · Angela Dai · Matthias Nießner	N/A	Code
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models	Jiale Xu · Xintao Wang · Weihao Cheng · Yan-Pei Cao · Ying Shan · Xiaohu Qie · Shenghua Gao	N/A	Code
SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes	Yiming Gao · Yan-Pei Cao · Ying Shan	N/A	Code
Object Detection With Self-Supervised Scene Adaptation	Zekun Zhang · Minh Hoai	N/A	Code
Megahertz Light Steering Without Moving Parts	Adithya Pediredla · Srinivasa G. Narasimhan · Maysamreza Chamanzar · Ioannis Gkioulekas	N/A	Code
ISBNet: A 3D Point Cloud Instance Segmentation Network With Instance-Aware Sampling and Box-Aware Dynamic Convolution	Tuan Duc Ngo · Binh-Son Hua · Khoi Nguyen	N/A	Code
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks	Tong Bu · Jianhao Ding · Zecheng Hao · Zhaofei Yu	N/A	Code
PIVOT: Prompting for Video Continual Learning	Andrés Villa · Juan León Alcázar · Motasem Alfarra · Kumail Alhamoud · Julio Hurtado · Fabian Caba Heilbron · Alvaro Soto · Bernard Ghanem	N/A	Code
ARO-Net: Learning Implicit Fields From Anchored Radial Observations	Yizhi Wang · Zeyu Huang · Ariel Shamir · Hui Huang · Hao Zhang · Ruizhen Hu	N/A	Code
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems	Hyungjin Chung · Jeongsol Kim · Sehui Kim · Jong Chul Ye	N/A	Code
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models	Hyungjin Chung · Dohoon Ryu · Michael T. McCann · Marc L. Klasky · Jong Chul Ye	N/A	Code
Affordance Grounding From Demonstration Video To Target Image	Joya Chen · Difei Gao · Kevin Qinghong Lin · Mike Zheng Shou	N/A	Code
Learning Procedure-Aware Video Representation From Instructional Videos and Their Narrations	Yiwu Zhong · Licheng Yu · Yang Bai · Shangwen Li · Xueting Yan · Yin Li	N/A	Code
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors	Chien-Yao Wang · Alexey Bochkovskiy · Hong-Yuan Mark Liao	N/A	Code
OmniCity: Omnipotent City Understanding With Multi-Level and Multi-View Images	Weijia Li · Yawen Lai · Linning Xu · Yuanbo Xiangli · Jinhua Yu · Conghui He · Gui-Song Xia · Dahua Lin	N/A	Code
Object Discovery From Motion-Guided Tokens	Zhipeng Bao · Pavel Tokmakov · Yu-Xiong Wang · Adrien Gaidon · Martial Hebert	N/A	Code
MP-Former: Mask-Piloted Transformer for Image Segmentation	Hao Zhang · Feng Li · Huaizhe Xu · Shijia Huang · Shilong Liu · Lionel M. Ni · Lei Zhang	N/A	Code
Disentangling Writer and Character Styles for Handwriting Generation	Gang Dai · Yifan Zhang · Qingfeng Wang · Qing Du · Zhuliang Yu · Zhuoman Liu · Shuangping Huang	N/A	Code
Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds	Shaowei Liu · Saurabh Gupta · Shenlong Wang	N/A	Code
Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues	Stefanie Walz · Mario Bijelic · Andrea Ramazzina · Amanpreet Walia · Fahim Mannan · Felix Heide	N/A	Code
Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation	Wei Wang · Zhun Zhong · Weijie Wang · Xi Chen · Charles Ling · Boyu Wang · Nicu Sebe	N/A	Code
Perspective Fields for Single Image Camera Calibration	Linyi Jin · Jianming Zhang · Yannick Hold-Geoffroy · Oliver Wang · Kevin Blackburn-Matzen · Matthew Sticha · David F. Fouhey	N/A	Code
Vision Transformers Are Parameter-Efficient Audio-Visual Learners	Yan-Bo Lin · Yi-Lin Sung · Jie Lei · Mohit Bansal · Gedas Bertasius	N/A	Code
Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos	Yubin Hu · Yuze He · Yanghao Li · Jisheng Li · Yuxing Han · Jiangtao Wen · Yong-Jin Liu	N/A	Code
DisWOT: Student Architecture Search for Distillation WithOut Training	Peijie Dong · Lujun Li · Zimian Wei	N/A	Code
Activating More Pixels in Image Super-Resolution Transformer	Xiangyu Chen · Xintao Wang · Jiantao Zhou · Yu Qiao · Chao Dong	N/A	Code
You Only Segment Once: Towards Real-Time Panoptic Segmentation	Jie Hu · Linyan Huang · Tianhe Ren · Shengchuan Zhang · Rongrong Ji · Liujuan Cao	N/A	Code
PA&DA: Jointly Sampling Path and Data for Consistent NAS	Shun Lu · Yu Hu · Longxing Yang · Zihao Sun · Jilin Mei · Jianchao Tan · Chengru Song	N/A	Code
NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies	Xiaoxiao Long · Cheng Lin · Lingjie Liu · Yuan Liu · Peng Wang · Christian Theobalt · Taku Komura · Wenping Wang	N/A	Code
Towards Universal Fake Image Detectors That Generalize Across Generative Models	Utkarsh Ojha · Yuheng Li · Yong Jae Lee	N/A	Code
FLAG3D: A 3D Fitness Activity Dataset With Language Instruction	Yansong Tang · Jinpeng Liu · Aoyang Liu · Bin Yang · Wenxun Dai · Yongming Rao · Jiwen Lu · Jie Zhou · Xiu Li	N/A	Code
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction From Multi-View Images	Yunfan Ye · Renjiao Yi · Zhirui Gao · Chenyang Zhu · Zhiping Cai · Kai Xu	N/A	Code
Executing Your Commands via Motion Diffusion in Latent Space	Xin Chen · Biao Jiang · Wen Liu · Zilong Huang · Bin Fu · Tao Chen · Gang Yu	N/A	Code
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID	Jianyang Gu · Kai Wang · Hao Luo · Chen Chen · Wei Jiang · Yuqiang Fang · Shanghang Zhang · Yang You · Jian Zhao	N/A	Code
SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage	Yifan Wang · Aleksander Holynski · Xiuming Zhang · Xuaner Zhang	N/A	Code
IS-GGT: Iterative Scene Graph Generation With Generative Transformers	Sanjoy Kundu · Sathyanarayanan N. Aakur	N/A	Code
DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-Aware Scene Synthesis	Yinghao Xu · Menglei Chai · Zifan Shi · Sida Peng · Ivan Skorokhodov · Aliaksandr Siarohin · Ceyuan Yang · Yujun Shen · Hsin-Ying Lee · Bolei Zhou · Sergey Tulyakov	N/A	Code
Breaking the “Object” in Video Object Segmentation	Pavel Tokmakov · Jie Li · Adrien Gaidon	N/A	Code
SimpleNet: A Simple Network for Image Anomaly Detection and Localization	Zhikang Liu · Yiming Zhou · Yuansheng Xu · Zilei Wang	N/A	Code
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation	Lingting Zhu · Xian Liu · Xuanyu Liu · Rui Qian · Ziwei Liu · Lequan Yu	N/A	Code
Top-Down Visual Attention From Analysis by Synthesis	Baifeng Shi · Trevor Darrell · Xin Wang	N/A	Code
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation With Cross-Scale Distortion Awareness	Zhijie Shen · Zishuo Zheng · Chunyu Lin · Lang Nie · Kang Liao · Shuai Zheng · Yao Zhao	N/A	Code
Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation	Xiaolong Shen · Zongxin Yang · Xiaohan Wang · Jianxin Ma · Chang Zhou · Yi Yang	N/A	Code
RaBit: Parametric Modeling of 3D Biped Cartoon Characters With a Topological-Consistent Dataset	Zhongjin Luo · Shengcai Cai · Jinguo Dong · Ruibo Ming · Liangdong Qiu · Xiaohang Zhan · Xiaoguang Han	N/A	Code
Masked Image Modeling With Local Multi-Scale Reconstruction	Haoqing Wang · Yehui Tang · Yunhe Wang · Jianyuan Guo · Zhi-Hong Deng · Kai Han	N/A	Code
Omni Aggregation Networks for Lightweight Image Super-Resolution	Hang Wang · Xuanhong Chen · Bingbing Ni · Yutian Liu · Jinfan Liu	N/A	Code
TryOnDiffusion: A Tale of Two UNets	Luyang Zhu · Dawei Yang · Tyler Zhu · Fitsum Reda · William Chan · Chitwan Saharia · Mohammad Norouzi · Ira Kemelmacher-Shlizerman	N/A	Code
MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition	Xiang Wang · Shiwei Zhang · Zhiwu Qing · Changxin Gao · Yingya Zhang · Deli Zhao · Nong Sang	N/A	Code
Dynamic Aggregated Network for Gait Recognition	Kang Ma · Ying Fu · Dezhi Zheng · Chunshui Cao · Xuecai Hu · Yongzhen Huang	N/A	Code
Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution	Jiahao Chao · Zhou Zhou · Hongfan Gao · Jiali Gong · Zhengfeng Yang · Zhenbing Zeng · Lydia Dehbi	N/A	Code
Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination	Zimeng Zhao · Binghui Zuo · Zhiyu Long · Yangang Wang	N/A	Code
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields	Yu Chen · Gim Hee Lee	N/A	Code
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit	Xiaohang Wang · Xuanhong Chen · Bingbing Ni · Hang Wang · Zhengyan Tong · Yutian Liu	N/A	Code
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections	Jiaxiong Qiu · Peng-Tao Jiang · Yifan Zhu · Ze-Xin Yin · Ming-Ming Cheng · Bo Ren	N/A	Code
The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction	Alexandros Stergiou · Dima Damen	N/A	Code
Use Your Head: Improving Long-Tail Video Recognition	Toby Perrett · Saptarshi Sinha · Tilo Burghardt · Majid Mirmehdi · Dima Damen	N/A	Code
Large-Scale Training Data Search for Object Re-Identification	Yue Yao · Tom Gedeon · Liang Zheng	N/A	Code
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction	Guangyi Chen · Zhenhao Chen · Shunxing Fan · Kun Zhang	N/A	Code
Seeing a Rose in Five Thousand Ways	Yunzhi Zhang · Shangzhe Wu · Noah Snavely · Jiajun Wu	N/A	Code
EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points	Chengwei Zheng · Wenbin Lin · Feng Xu	N/A	Code
Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior	Xiaole Tang · Xile Zhao · Jun Liu · Jianli Wang · Yuchun Miao · Tieyong Zeng	N/A	Code
Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation	Shuting He · Henghui Ding · Wei Jiang	N/A	Code
Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation	Yan Jin · Mengke Li · Yang Lu · Yiu-ming Cheung · Hanzi Wang	N/A	Code
Neuron Structure Modeling for Generalizable Remote Physiological Measurement	Hao Lu · Zitong Yu · Xuesong Niu · Ying-Cong Chen	N/A	Code
Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains	Simon Reiß · Constantin Seibold · Alexander Freytag · Erik Rodner · Rainer Stiefelhagen	N/A	Code
Learning a Sparse Transformer Network for Effective Image Deraining	Xiang Chen · Hao Li · Mingqiang Li · Jinshan Pan	N/A	Code
Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction	Chunming He · Kai Li · Yachao Zhang · Longxiang Tang · Yulun Zhang · Zhenhua Guo · Xiu Li	N/A	Code
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding	Gen Li · Varun Jampani · Deqing Sun · Laura Sevilla-Lara	N/A	Code
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation	Nataniel Ruiz · Yuanzhen Li · Varun Jampani · Yael Pritch · Michael Rubinstein · Kfir Aberman	N/A	Code
GeneCIS: A Benchmark for General Conditional Image Similarity	Sagar Vaze · Nicolas Carion · Ishan Misra	N/A	Code
Neighborhood Attention Transformer	Ali Hassani · Steven Walton · Jiachen Li · Shen Li · Humphrey Shi	N/A	Code
3D-Aware Conditional Image Synthesis	Kangle Deng · Gengshan Yang · Deva Ramanan · Jun-Yan Zhu	N/A	Code
Magic3D: High-Resolution Text-to-3D Content Creation	Chen-Hsuan Lin · Jun Gao · Luming Tang · Towaki Takikawa · Xiaohui Zeng · Xun Huang · Karsten Kreis · Sanja Fidler · Ming-Yu Liu · Tsung-Yi Lin	N/A	Code
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity	Siyu Huang · Jie An · Donglai Wei · Jiebo Luo · Hanspeter Pfister	N/A	Code
SceneComposer: Any-Level Semantic Image Synthesis	Yu Zeng · Zhe Lin · Jianming Zhang · Qing Liu · John Collomosse · Jason Kuen · Vishal M. Patel	N/A	Code
Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style	Haoming Lu · Hazarapet Tunanyan · Kai Wang · Shant Navasardyan · Zhangyang Wang · Humphrey Shi	N/A	Code
In-Hand 3D Object Scanning From an RGB Sequence	Shreyas Hampali · Tomas Hodan · Luan Tran · Lingni Ma · Cem Keskin · Vincent Lepetit	N/A	Code
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds	Qing Li · Huifang Feng · Kanle Shi · Yue Gao · Yi Fang · Yu-Shen Liu · Zhizhong Han	N/A	Code
Advancing Visual Grounding With Scene Knowledge: Benchmark and Method	Zhihong Chen · Ruifei Zhang · Yibing Song · Xiang Wan · Guanbin Li	N/A	Code
Putting People in Their Place: Affordance-Aware Human Insertion Into Scenes	Sumith Kulal · Tim Brooks · Alex Aiken · Jiajun Wu · Jimei Yang · Jingwan Lu · Alexei A. Efros · Krishna Kumar Singh	N/A	Code
Identity-Preserving Talking Face Generation With Landmark and Appearance Priors	Weizhi Zhong · Chaowei Fang · Yinqi Cai · Pengxu Wei · Gangming Zhao · Liang Lin · Guanbin Li	N/A	Code
Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation	Li Li · Hubert P. H. Shum · Toby P. Breckon	N/A	Code
FAC: 3D Representation Learning via Foreground Aware Feature Contrast	Kangcheng Liu · Aoran Xiao · Xiaoqin Zhang · Shijian Lu · Ling Shao	N/A	Code
InstMove: Instance Motion for Object-Centric Video Segmentation	Qihao Liu · Junfeng Wu · Yi Jiang · Xiang Bai · Alan L. Yuille · Song Bai	N/A	Code
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark	Xiaofeng Wang · Zheng Zhu · Yunpeng Zhang · Guan Huang · Yun Ye · Wenbo Xu · Ziwei Chen · Xingang Wang	N/A	Code
Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring	Zhenxuan Fang · Fangfang Wu · Weisheng Dong · Xin Li · Jinjian Wu · Guangming Shi	N/A	Code
Neural Kernel Surface Reconstruction	Jiahui Huang · Zan Gojcic · Matan Atzmon · Or Litany · Sanja Fidler · Francis Williams	N/A	Code
Binary Latent Diffusion	Ze Wang · Jiang Wang · Zicheng Liu · Qiang Qiu	N/A	Code
Learning To Dub Movies via Hierarchical Prosody Models	Gaoxiang Cong · Liang Li · Yuankai Qi · Zheng-Jun Zha · Qi Wu · Wenyu Wang · Bin Jiang · Ming-Hsuan Yang · Qingming Huang	N/A	Code
Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs	Pattaramanee Arsomngern · Sarana Nutanong · Supasorn Suwajanakorn	N/A	Code
FrustumFormer: Adaptive Instance-Aware Resampling for Multi-View 3D Detection	Yuqi Wang · Yuntao Chen · Zhaoxiang Zhang	N/A	Code
Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!	Zaid Khan · Vijay Kumar BG · Samuel Schulter · Xiang Yu · Yun Fu · Manmohan Chandraker	N/A	Code
StyleRes: Transforming the Residuals for Real Image Editing With StyleGAN	Hamza Pehlivan · Yusuf Dalva · Aysegul Dundar	N/A	Code
PVT-SSD: Single-Stage 3D Object Detector With Point-Voxel Transformer	Honghui Yang · Wenxiao Wang · Minghao Chen · Binbin Lin · Tong He · Hua Chen · Xiaofei He · Wanli Ouyang	N/A	Code
Boosting Verified Training for Robust Image Classifications via Abstraction	Zhaodi Zhang · Zhiyi Xue · Yang Chen · Si Liu · Yueling Zhang · Jing Liu · Min Zhang	N/A	Code
Interactive Segmentation As Gaussion Process Classification	Minghao Zhou · Hong Wang · Qian Zhao · Yuexiang Li · Yawen Huang · Deyu Meng · Yefeng Zheng	N/A	Code
OSRT: Omnidirectional Image Super-Resolution With Distortion-Aware Transformer	Fanghua Yu · Xintao Wang · Mingdeng Cao · Gen Li · Ying Shan · Chao Dong	N/A	Code
Accelerating Vision-Language Pretraining With Free Language Modeling	Teng Wang · Yixiao Ge · Feng Zheng · Ran Cheng · Ying Shan · Xiaohu Qie · Ping Luo	N/A	Code
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation	Hanzhi Chen · Fabian Manhardt · Nassir Navab · Benjamin Busam	N/A	Code
Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking	Yuanpeng Tu · Boshen Zhang · Yuxi Li · Liang Liu · Jian Li · Jiangning Zhang · Yabiao Wang · Chengjie Wang · Cai Rong Zhao	N/A	Code
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization	Zhihao Liang · Zhangjin Huang · Changxing Ding · Kui Jia	N/A	Code
Multi-Space Neural Radiance Fields	Ze-Xin Yin · Jiaxiong Qiu · Ming-Ming Cheng · Bo Ren	N/A	Code
MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection From Point Cloud Sequences	Chenhang He · Ruihuang Li · Yabin Zhang · Shuai Li · Lei Zhang	N/A	Code
DLBD: A Self-Supervised Direct-Learned Binary Descriptor	Bin Xiao · Yang Hu · Bo Liu · Xiuli Bi · Weisheng Li · Xinbo Gao	N/A	Code
Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries	Yuanwen Yue · Theodora Kontogianni · Konrad Schindler · Francis Engelmann	N/A	Code
PointAvatar: Deformable Point-Based Head Avatars From Videos	Yufeng Zheng · Wang Yifan · Gordon Wetzstein · Michael J. Black · Otmar Hilliges	N/A	Code
Diffusion-SDF: Text-To-Shape via Voxelized Diffusion	Muheng Li · Yueqi Duan · Jie Zhou · Jiwen Lu	N/A	Code
NeRF-RPN: A General Framework for Object Detection in NeRFs	Benran Hu · Junkai Huang · Yichen Liu · Yu-Wing Tai · Chi-Keung Tang	N/A	Code
CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset	Tian Gan · Qing Wang · Xingning Dong · Xiangyuan Ren · Liqiang Nie · Qingpei Guo	N/A	Code
Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition	Chen Guo · Tianjian Jiang · Xu Chen · Jie Song · Otmar Hilliges	N/A	Code
Neural Preset for Color Style Transfer	Zhanghan Ke · Yuhao Liu · Lei Zhu · Nanxuan Zhao · Rynson W.H. Lau	N/A	Code
GRES: Generalized Referring Expression Segmentation	Chang Liu · Henghui Ding · Xudong Jiang	N/A	Code
Tracking Through Containers and Occluders in the Wild	Basile Van Hoorick · Pavel Tokmakov · Simon Stent · Jie Li · Carl Vondrick	N/A	Code
DepGraph: Towards Any Structural Pruning	Gongfan Fang · Xinyin Ma · Mingli Song · Michael Bi Mi · Xinchao Wang	N/A	Code
Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation	Yunqing Zhao · Chao Du · Milad Abdollahzadeh · Tianyu Pang · Min Lin · Shuicheng Yan · Ngai-Man Cheung	N/A	Code
RGB No More: Minimally-Decoded JPEG Vision Transformers	Jeongsoo Park · Justin Johnson	N/A	Code
iQuery: Instruments As Queries for Audio-Visual Sound Separation	Jiaben Chen · Renrui Zhang · Dongze Lian · Jiaqi Yang · Ziyao Zeng · Jianbo Shi	N/A	Code
Towards Professional Level Crowd Annotation of Expert Domain Data	Pei Wang · Nuno Vasconcelos	N/A	Code
VideoTrack: Learning To Track Objects via Video Transformer	Fei Xie · Lei Chu · Jiahao Li · Yan Lu · Chao Ma	N/A	Code
SCoDA: Domain Adaptive Shape Completion for Real Scans	Yushuang Wu · Zizheng Yan · Ce Chen · Lai Wei · Xiao Li · Guanbin Li · Yihao Li · Shuguang Cui · Xiaoguang Han	N/A	Code
Enhanced Training of Query-Based Object Detection via Selective Query Recollection	Fangyi Chen · Han Zhang · Kai Hu · Yu-Kai Huang · Chenchen Zhu · Marios Savvides	N/A	Code
LaserMix for Semi-Supervised LiDAR Semantic Segmentation	Lingdong Kong · Jiawei Ren · Liang Pan · Ziwei Liu	N/A	Code
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales With Multi-Depth Seeds for 3D Object Detection	Yang Jiao · Zequn Jie · Shaoxiang Chen · Jingjing Chen · Lin Ma · Yu-Gang Jiang	N/A	Code
Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning	Zeyin Song · Yifan Zhao · Yujun Shi · Peixi Peng · Li Yuan · Yonghong Tian	N/A	Code
PLA: Language-Driven Open-Vocabulary 3D Scene Understanding	Runyu Ding · Jihan Yang · Chuhui Xue · Wenqing Zhang · Song Bai · Xiaojuan Qi	N/A	Code
Being Comes From Not-Being: Open-Vocabulary Text-to-Motion Generation With Wordless Training	Junfan Lin · Jianlong Chang · Lingbo Liu · Guanbin Li · Liang Lin · Qi Tian · Chang-Wen Chen	N/A	Code
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction	Xiaotao Hu · Zhewei Huang · Ailin Huang · Jun Xu · Shuchang Zhou	N/A	Code
Neural Dependencies Emerging From Learning Massive Categories	Ruili Feng · Kecheng Zheng · Kai Zhu · Yujun Shen · Jian Zhao · Yukun Huang · Deli Zhao · Jingren Zhou · Michael Jordan · Zheng-Jun Zha	N/A	Code
Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-Identification	Yukang Zhang · Hanzi Wang	N/A	Code
Neural Kaleidoscopic Space Sculpting	Byeongjoo Ahn · Michael De Zeeuw · Ioannis Gkioulekas · Aswin C. Sankaranarayanan	N/A	Code
PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow	Jiarui Lei · Xiaobo Hu · Yue Wang · Dong Liu	N/A	Code
Masked Motion Encoding for Self-Supervised Video Representation Learning	Xinyu Sun · Peihao Chen · Liangwei Chen · Changhao Li · Thomas H. Li · Mingkui Tan · Chuang Gan	N/A	Code
StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator	Jiazhi Guan · Zhanwang Zhang · Hang Zhou · Tianshu Hu · Kaisiyuan Wang · Dongliang He · Haocheng Feng · Jingtuo Liu · Errui Ding · Ziwei Liu · Jingdong Wang	N/A	Code
LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation	Song Wang · Wentong Li · Wenyu Liu · Xiaolu Liu · Jianke Zhu	N/A	Code
Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion	Changfeng Ma · Yinuo Chen · Pengxiao Guo · Jie Guo · Chongjun Wang · Yanwen Guo	N/A	Code
Boosting Detection in Crowd Analysis via Underutilized Output Features	Shaokai Wu · Fengyu Yang	N/A	Code
Representation Learning for Visual Object Tracking by Masked Appearance Transfer	Haojie Zhao · Dong Wang · Huchuan Lu	N/A	Code
NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360° Views	Dejia Xu · Yifan Jiang · Peihao Wang · Zhiwen Fan · Yi Wang · Zhangyang Wang	N/A	Code
DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation	Hao Jiang · Rushan Zhang · Yanning Zhou · Yumeng Wang · Hao Chen	N/A	Code
Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving	Xiaosong Jia · Penghao Wu · Li Chen · Jiangwei Xie · Conghui He · Junchi Yan · Hongyang Li	N/A	Code
Adversarial Counterfactual Visual Explanations	Guillaume Jeanneret · Loïc Simon · Frédéric Jurie	N/A	Code
ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization	Jintao Guo · Na Wang · Lei Qi · Yinghuan Shi	N/A	Code
ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision	Jingwang Ling · Zhibo Wang · Feng Xu	N/A	Code
Coaching a Teachable Student	Jimuyang Zhang · Zanming Huang · Eshed Ohn-Bar	N/A	Code
POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery	Ce Zheng · Xianpeng Liu · Guo-Jun Qi · Chen Chen	N/A	Code
Layout-Based Causal Inference for Object Navigation	Sixian Zhang · Xinhang Song · Weijie Li · Yubing Bai · Xinyao Yu · Shuqiang Jiang	N/A	Code
Towards Bridging the Performance Gaps of Joint Energy-Based Models	Xiulong Yang · Qing Su · Shihao Ji	N/A	Code
Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild	Gyeongsik Moon	N/A	Code
Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting	Xiaogang Peng · Siyuan Mao · Zizhao Wu	N/A	Code
Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization	Chen Ju · Kunhao Zheng · Jinxiang Liu · Peisen Zhao · Ya Zhang · Jianlong Chang · Qi Tian · Yanfeng Wang	N/A	Code
DiffPose: Toward More Reliable 3D Pose Estimation	Jia Gong · Lin Geng Foo · Zhipeng Fan · Qiuhong Ke · Hossein Rahmani · Jun Liu	N/A	Code
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection	Tiange Xiang · Yixiao Zhang · Yongyi Lu · Alan L. Yuille · Chaoyi Zhang · Weidong Cai · Zongwei Zhou	N/A	Code
On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer	Zhenjie Yu · Shuang Li · Yirui Shen · Chi Harold Liu · Shuigen Wang	N/A	Code
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input	Senmao Tian · Ming Lu · Jiaming Liu · Yandong Guo · Yurong Chen · Shunli Zhang	N/A	Code
NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects	Zhiwen Yan · Chen Li · Gim Hee Lee	N/A	Code
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo	Lukas Mehl · Jenny Schmalfuss · Azin Jahedi · Yaroslava Nalivayko · Andrés Bruhn	N/A	Code
Unifying Short and Long-Term Tracking With Graph Hierarchies	Orcun Cetintas · Guillem Brasó · Laura Leal-Taixé	N/A	Code
MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection	Liang Liu · Boshen Zhang · Jiangning Zhang · Wuhao Zhang · Zhenye Gan · Guanzhong Tian · Wenbing Zhu · Yabiao Wang · Chengjie Wang	N/A	Code
A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation From a Single RGB Image	Changlong Jiang · Yang Xiao · Cunlin Wu · Mingyang Zhang · Jinghong Zheng · Zhiguo Cao · Joey Tianyi Zhou	N/A	Code
Efficient Mask Correction for Click-Based Interactive Image Segmentation	Fei Du · Jianlong Yuan · Zhibin Wang · Fan Wang	N/A	Code
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation	Tong Wu · Jiarui Zhang · Xiao Fu · Yuxin Wang · Jiawei Ren · Liang Pan · Wayne Wu · Lei Yang · Jiaqi Wang · Chen Qian · Dahua Lin · Ziwei Liu	N/A	Code
LoGoNet: Towards Accurate 3D Object Detection With Local-to-Global Cross-Modal Fusion	Xin Li · Tao Ma · Yuenan Hou · Botian Shi · Yuchen Yang · Youquan Liu · Xingjiao Wu · Qin Chen · Yikang Li · Yu Qiao · Liang He	N/A	Code
3D Registration With Maximal Cliques	Xiyu Zhang · Jiaqi Yang · Shikun Zhang · Yanning Zhang	N/A	Code
Inferring and Leveraging Parts From Object Shape for Improving Semantic Image Synthesis	Yuxiang Wei · Zhilong Ji · Xiaohe Wu · Jinfeng Bai · Lei Zhang · Wangmeng Zuo	N/A	Code
Frame-Event Alignment and Fusion Network for High Frame Rate Tracking	Jiqing Zhang · Yuanchen Wang · Wenxi Liu · Meng Li · Jinpeng Bai · Baocai Yin · Xin Yang	N/A	Code
Human Guided Ground-Truth Generation for Realistic Image Super-Resolution	Du Chen · Jie Liang · Xindong Zhang · Ming Liu · Hui Zeng · Lei Zhang	N/A	Code
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration	Kemal Oksuz · Tom Joy · Puneet K. Dokania	N/A	Code
Generating Human Motion From Textual Descriptions With Discrete Representations	Jianrong Zhang · Yangsong Zhang · Xiaodong Cun · Yong Zhang · Hongwei Zhao · Hongtao Lu · Xi Shen · Ying Shan	N/A	Code
Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing	Yu Zheng · Jiahui Zhan · Shengfeng He · Junyu Dong · Yong Du	N/A	Code
Learning Human Mesh Recovery in 3D Scenes	Zehong Shen · Zhi Cen · Sida Peng · Qing Shuai · Hujun Bao · Xiaowei Zhou	N/A	Code
Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection	Luting Wang · Yi Liu · Penghui Du · Zihan Ding · Yue Liao · Qiaosong Qi · Biaolong Chen · Si Liu	N/A	Code
Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method	Ran Yi · Haoyuan Tian · Zhihao Gu · Yu-Kun Lai · Paul L. Rosin	N/A	Code
SOOD: Towards Semi-Supervised Oriented Object Detection	Wei Hua · Dingkang Liang · Jingyu Li · Xiaolong Liu · Zhikang Zou · Xiaoqing Ye · Xiang Bai	N/A	Code
Spherical Transformer for LiDAR-Based 3D Recognition	Xin Lai · Yukang Chen · Fanbin Lu · Jianhui Liu · Jiaya Jia	N/A	Code
Data-Free Sketch-Based Image Retrieval	Abhra Chaudhuri · Ayan Kumar Bhunia · Yi-Zhe Song · Anjan Dutta	N/A	Code
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion	Zixiang Zhao · Haowen Bai · Jiangshe Zhang · Yulun Zhang · Shuang Xu · Zudi Lin · Radu Timofte · Luc Van Gool	N/A	Code
Proximal Splitting Adversarial Attack for Semantic Segmentation	Jérôme Rony · Jean-Christophe Pesquet · Ismail Ben Ayed	N/A	Code
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation	Ziyan Wang · Giljoo Nam · Tuur Stuyck · Stephen Lombardi · Chen Cao · Jason Saragih · Michael Zollhöfer · Jessica Hodgins · Christoph Lassner	N/A	Code
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language	Chuanhao Li · Zhen Li · Chenchen Jing · Yunde Jia · Yuwei Wu	N/A	Code
3D-Aware Face Swapping	Yixuan Li · Chao Ma · Yichao Yan · Wenhan Zhu · Xiaokang Yang	N/A	Code
Representing Volumetric Videos As Dynamic MLP Maps	Sida Peng · Yunzhi Yan · Qing Shuai · Hujun Bao · Xiaowei Zhou	N/A	Code
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation	Hang Du · Xuejun Yan · Jingjing Wang · Di Xie · Shiliang Pu	N/A	Code
Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need	Jingyao Li · Pengguang Chen · Zexin He · Shaozuo Yu · Shu Liu · Jiaya Jia	N/A	Code
Paint by Example: Exemplar-Based Image Editing With Diffusion Models	Binxin Yang · Shuyang Gu · Bo Zhang · Ting Zhang · Xuejin Chen · Xiaoyan Sun · Dong Chen · Fang Wen	N/A	Code
Referring Multi-Object Tracking	Dongming Wu · Wencheng Han · Tiancai Wang · Xingping Dong · Xiangyu Zhang · Jianbing Shen	N/A	Code
NerVE: Neural Volumetric Edges for Parametric Curve Extraction From Point Cloud	Xiangyu Zhu · Dong Du · Weikai Chen · Zhiyou Zhao · Yinyu Nie · Xiaoguang Han	N/A	Code
AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection	Yipeng Gao · Kun-Yu Lin · Junkai Yan · Yaowei Wang · Wei-Shi Zheng	N/A	Code
CUF: Continuous Upsampling Filters	Cristina N. Vasconcelos · Cengiz Oztireli · Mark Matthews · Milad Hashemi · Kevin Swersky · Andrea Tagliasacchi	N/A	Code
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors	Yuang Zhang · Tiancai Wang · Xiangyu Zhang	N/A	Code
CXTrack: Improving 3D Point Cloud Tracking With Contextual Information	Tian-Xing Xu · Yuan-Chen Guo · Yu-Kun Lai · Song-Hai Zhang	N/A	Code
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection	Xincheng Yao · Ruoqi Li · Jing Zhang · Jun Sun · Chongyang Zhang	N/A	Code
Learning Bottleneck Concepts in Image Classification	Bowen Wang · Liangzhi Li · Yuta Nakashima · Hajime Nagahara	N/A	Code
Zero-Shot Model Diagnosis	Jinqi Luo · Zhaoning Wang · Chen Henry Wu · Dong Huang · Fernando De la Torre	N/A	Code
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation	Shuai Shen · Wenliang Zhao · Zibin Meng · Wanhua Li · Zheng Zhu · Jie Zhou · Jiwen Lu	N/A	Code
DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer	Ping Chen · Xingpeng Zhang · Ye Li · Ju Tao · Bin Xiao · Bing Wang · Zongjie Jiang	N/A	Code
TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification	Haocong Rao · Chunyan Miao	N/A	Code
Joint Visual Grounding and Tracking With Natural Language Specification	Li Zhou · Zikun Zhou · Kaige Mao · Zhenyu He	N/A	Code
Compressing Volumetric Radiance Fields to 1 MB	Lingzhi Li · Zhen Shen · Zhongshu Wang · Li Shen · Liefeng Bo	N/A	Code
HyperReel: High-Fidelity 6-DoF Video With Ray-Conditioned Sampling	Benjamin Attal · Jia-Bin Huang · Christian Richardt · Michael Zollhöfer · Johannes Kopf · Matthew O’Toole · Changil Kim	N/A	Code
Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections	Alexander Gillert · Giulia Resente · Alba Anadon-Rosell · Martin Wilmking · Uwe Freiherr von Lukas	N/A	Code
Ego-Body Pose Estimation via Ego-Head Pose Estimation	Jiaman Li · Karen Liu · Jiajun Wu	N/A	Code
Learned Two-Plane Perspective Prior Based Image Resampling for Efficient Object Detection	Anurag Ghosh · N. Dinesh Reddy · Christoph Mertz · Srinivasa G. Narasimhan	N/A	Code
PaletteNeRF: Palette-Based Appearance Editing of Neural Radiance Fields	Zhengfei Kuang · Fujun Luan · Sai Bi · Zhixin Shu · Gordon Wetzstein · Kalyan Sunkavalli	N/A	Code
Long Range Pooling for 3D Large-Scale Scene Understanding	Xiang-Li Li · Meng-Hao Guo · Tai-Jiang Mu · Ralph R. Martin · Shi-Min Hu	N/A	Code
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation	Mingjie Li · Bingqian Lin · Zicong Chen · Haokun Lin · Xiaodan Liang · Xiaojun Chang	N/A	Code
Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning	Chengzhi Cao · Xueyang Fu · Hongjian Liu · Yukun Huang · Kunyu Wang · Jiebo Luo · Zheng-Jun Zha	N/A	Code
Contrastive Grouping With Transformer for Referring Image Segmentation	Jiajin Tang · Ge Zheng · Cheng Shi · Sibei Yang	N/A	Code
Structure Aggregation for Cross-Spectral Stereo Image Guided Denoising	Zehua Sheng · Zhu Yu · Xiongwei Liu · Si-Yuan Cao · Yuqi Liu · Hui-Liang Shen · Huaqi Zhang	N/A	Code
Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization	Chenxi Zheng · Bangzhen Liu · Huaidong Zhang · Xuemiao Xu · Shengfeng He	N/A	Code
EDGE: Editable Dance Generation From Music	Jonathan Tseng · Rodrigo Castellon · Karen Liu	N/A	Code
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models	Minghua Liu · Yinhao Zhu · Hong Cai · Shizhong Han · Zhan Ling · Fatih Porikli · Hao Su	N/A	Code
EDICT: Exact Diffusion Inversion via Coupled Transformations	Bram Wallace · Akash Gokul · Nikhil Naik	N/A	Code
Complete 3D Human Reconstruction From a Single Incomplete Image	Junying Wang · Jae Shin Yoon · Tuanfeng Y. Wang · Krishna Kumar Singh · Ulrich Neumann	N/A	Code
PartDistillation: Learning Parts From Instance Segmentation	Jang Hyun Cho · Philipp Krähenbühl · Vignesh Ramanathan	N/A	Code
Neural Vector Fields: Implicit Representation by Explicit Learning	Xianghui Yang · Guosheng Lin · Zhenghao Chen · Luping Zhou	N/A	Code
Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors	Chao Chen · Yu-Shen Liu · Zhizhong Han	N/A	Code
Texts as Images in Prompt Tuning for Multi-Label Image Recognition	Zixian Guo · Bowen Dong · Zhilong Ji · Jinfeng Bai · Yiwen Guo · Wangmeng Zuo	N/A	Code
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions	Yun He · Danhang Tang · Yinda Zhang · Xiangyang Xue · Yanwei Fu	N/A	Code
MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning	Shicai Wei · Chunbo Luo · Yang Luo	N/A	Code
Rethinking Optical Flow From Geometric Matching Consistent Perspective	Qiaole Dong · Chenjie Cao · Yanwei Fu	N/A	Code
FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation	Junjie He · Pengyu Li · Yifeng Geng · Xuansong Xie	N/A	Code
How Can Objects Help Action Recognition?	Xingyi Zhou · Anurag Arnab · Chen Sun · Cordelia Schmid	N/A	Code
Images Speak in Images: A Generalist Painter for In-Context Visual Learning	Xinlong Wang · Wen Wang · Yue Cao · Chunhua Shen · Tiejun Huang	N/A	Code
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation	Huimin Huang · Shiao Xie · Lanfen Lin · Ruofeng Tong · Yen-Wei Chen · Yuexiang Li · Hong Wang · Yawen Huang · Yefeng Zheng	N/A	Code
A Unified Pyramid Recurrent Network for Video Frame Interpolation	Xin Jin · Longhai Wu · Jie Chen · Youxin Chen · Jayoon Koo · Cheul-hee Hahm	N/A	Code
Enhancing the Self-Universality for Transferable Targeted Attacks	Zhipeng Wei · Jingjing Chen · Zuxuan Wu · Yu-Gang Jiang	N/A	Code
Multi-View Inverse Rendering for Large-Scale Real-World Indoor Scenes	Zhen Li · Lingli Wang · Mofang Cheng · Cihui Pan · Jiaqi Yang	N/A	Code
TAPS3D: Text-Guided 3D Textured Shape Generation From Pseudo Supervision	Jiacheng Wei · Hao Wang · Jiashi Feng · Guosheng Lin · Kim-Hui Yap	N/A	Code
Frequency-Modulated Point Cloud Rendering With Easy Editing	Yi Zhang · Xiaoyang Huang · Bingbing Ni · Teng Li · Wenjun Zhang	N/A	Code
Vector Quantization With Self-Attention for Quality-Independent Representation Learning	Zhou Yang · Weisheng Dong · Xin Li · Mengluan Huang · Yulin Sun · Guangming Shi	N/A	Code
Fine-Grained Face Swapping via Regional GAN Inversion	Zhian Liu · Maomao Li · Yong Zhang · Cairong Wang · Qi Zhang · Jue Wang · Yongwei Nie	N/A	Code
Backdoor Defense via Adaptively Splitting Poisoned Dataset	Kuofeng Gao · Yang Bai · Jindong Gu · Yong Yang · Shu-Tao Xia	N/A	Code
RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models	Jiabao Lei · Jiapeng Tang · Kui Jia	N/A	Code
CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose	Xu Zhang · Wen Wang · Zhe Chen · Yufei Xu · Jing Zhang · Dacheng Tao	N/A	Code
Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones	Mert Bülent Sarıyıldız · Karteek Alahari · Diane Larlus · Yannis Kalantidis	N/A	Code
Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring	Lingshun Kong · Jiangxin Dong · Jianjun Ge · Mingqiang Li · Jinshan Pan	N/A	Code
DartBlur: Privacy Preservation With Detection Artifact Suppression	Baowei Jiang · Bing Bai · Haozhe Lin · Yu Wang · Yuchen Guo · Lu Fang	N/A	Code
FCC: Feature Clusters Compression for Long-Tailed Visual Recognition	Jian Li · Ziyao Meng · Daqian Shi · Rui Song · Xiaolei Diao · Jingwen Wang · Hao Xu	N/A	Code
CLOTH4D: A Dataset for Clothed Human Reconstruction	Xingxing Zou · Xintong Han · Waikeung Wong	N/A	Code
LinK: Linear Kernel for LiDAR-Based 3D Perception	Tao Lu · Xiang Ding · Haisong Liu · Gangshan Wu · Limin Wang	N/A	Code
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation	Xiaoyang Wang · Bingfeng Zhang · Limin Yu · Jimin Xiao	N/A	Code
Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception	Junyu Gao · Mengyuan Chen · Changsheng Xu	N/A	Code
LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs	Yukang Chen · Jianhui Liu · Xiangyu Zhang · Xiaojuan Qi · Jiaya Jia	N/A	Code
Deep Learning of Partial Graph Matching via Differentiable Top-K	Runzhong Wang · Ziao Guo · Shaofei Jiang · Xiaokang Yang · Junchi Yan	N/A	Code
Analyzing Physical Impacts Using Transient Surface Wave Imaging	Tianyuan Zhang · Mark Sheinin · Dorian Chan · Mark Rau · Matthew O’Toole · Srinivasa G. Narasimhan	N/A	Code
Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment	Yiyou Sun · Yaojie Liu · Xiaoming Liu · Yixuan Li · Wen-Sheng Chu	N/A	Code
A Simple Baseline for Video Restoration With Grouped Spatial-Temporal Shift	Dasong Li · Xiaoyu Shi · Yi Zhang · Ka Chun Cheung · Simon See · Xiaogang Wang · Hongwei Qin · Hongsheng Li	N/A	Code
The ObjectFolder Benchmark: Multisensory Learning With Neural and Real Objects	Ruohan Gao · Yiming Dou · Hao Li · Tanmay Agarwal · Jeannette Bohg · Yunzhu Li · Li Fei-Fei · Jiajun Wu	N/A	Code
PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav	Ram Ramrakhya · Dhruv Batra · Erik Wijmans · Abhishek Das	N/A	Code
DC2: Dual-Camera Defocus Control by Learning To Refocus	Hadi Alzayer · Abdullah Abuolaim · Leung Chun Chan · Yang Yang · Ying Chen Lou · Jia-Bin Huang · Abhishek Kar	N/A	Code
Habitat-Matterport 3D Semantics Dataset	Karmesh Yadav · Ram Ramrakhya · Santhosh Kumar Ramakrishnan · Theo Gervet · John Turner · Aaron Gokaslan · Noah Maestre · Angel Xuan Chang · Dhruv Batra · Manolis Savva · Alexander William Clegg · Devendra Singh Chaplot	N/A	Code
Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering	Zhenwei Shao · Zhou Yu · Meng Wang · Jun Yu	N/A	Code
Similarity Metric Learning for RGB-Infrared Group Re-Identification	Jianghao Xiong · Jianhuang Lai	N/A	Code
DPF: Learning Dense Prediction Fields With Weak Supervision	Xiaoxue Chen · Yuhang Zheng · Yupeng Zheng · Qiang Zhou · Hao Zhao · Guyue Zhou · Ya-Qin Zhang	N/A	Code
Mixed Autoencoder for Self-Supervised Visual Representation Learning	Kai Chen · Zhili Liu · Lanqing Hong · Hang Xu · Zhenguo Li · Dit-Yan Yeung	N/A	Code
Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers	Chenyang Lu · Daan de Geus · Gijs Dubbelman	N/A	Code
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds	Jun-Kun Chen · Jipeng Lyu · Yu-Xiong Wang	N/A	Code
Multiview Compressive Coding for 3D Reconstruction	Chao-Yuan Wu · Justin Johnson · Jitendra Malik · Christoph Feichtenhofer · Georgia Gkioxari	N/A	Code
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation	Lihe Yang · Lei Qi · Litong Feng · Wayne Zhang · Yinghuan Shi	N/A	Code
Delving Into Shape-Aware Zero-Shot Semantic Segmentation	Xinyu Liu · Beiwen Tian · Zhen Wang · Rui Wang · Kehua Sheng · Bo Zhang · Hao Zhao · Guyue Zhou	N/A	Code
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval	Yi Xie · Huaidong Zhang · Xuemiao Xu · Jianqing Zhu · Shengfeng He	N/A	Code
Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping	Long Lian · Zhirong Wu · Stella X. Yu	N/A	Code
NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation	Zehan Zheng · Danni Wu · Ruisi Lu · Fan Lu · Guang Chen · Changjun Jiang	N/A	Code
Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning	Zhuoyang Zhang · Yuhao Dong · Yunze Liu · Li Yi	N/A	Code
GFIE: A Dataset and Baseline for Gaze-Following From 2D to 3D in Indoor Environments	Zhengxi Hu · Yuxue Yang · Xiaolin Zhai · Dingye Yang · Bohan Zhou · Jingtai Liu	N/A	Code
Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?	Wenhao Wu · Haipeng Luo · Bo Fang · Jingdong Wang · Wanli Ouyang	N/A	Code
Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition From Egocentric RGB Videos	Yilin Wen · Hao Pan · Lei Yang · Jia Pan · Taku Komura · Wenping Wang	N/A	Code
CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer	Linfeng Wen · Chengying Gao · Changqing Zou	N/A	Code
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias	Noa Garcia · Yusuke Hirota · Yankun Wu · Yuta Nakashima	N/A	Code
AltFreezing for More General Video Face Forgery Detection	Zhendong Wang · Jianmin Bao · Wengang Zhou · Weilun Wang · Houqiang Li	N/A	Code
Two-View Geometry Scoring Without Correspondences	Axel Barroso-Laguna · Eric Brachmann · Victor Adrian Prisacariu · Gabriel J. Brostow · Daniyar Turmukhambetov	N/A	Code
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning	Wenjin Wang · Yunqing Hu · Qianglong Chen · Yin Zhang	N/A	Code
Revisiting Prototypical Network for Cross Domain Few-Shot Learning	Fei Zhou · Peng Wang · Lei Zhang · Wei Wei · Yanning Zhang	N/A	Code
Federated Incremental Semantic Segmentation	Jiahua Dong · Duzhen Zhang · Yang Cong · Wei Cong · Henghui Ding · Dengxin Dai	N/A	Code
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching	Dongliang Cao · Florian Bernard	N/A	Code
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization	Aishan Liu · Shiyu Tang · Siyuan Liang · Ruihao Gong · Boxi Wu · Xianglong Liu · Dacheng Tao	N/A	Code
Video-Text As Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning	Peng Jin · Jinfa Huang · Pengfei Xiong · Shangxuan Tian · Chang Liu · Xiangyang Ji · Li Yuan · Jie Chen	N/A	Code
pCON: Polarimetric Coordinate Networks for Neural Scene Representations	Henry Peters · Yunhao Ba · Achuta Kadambi	N/A	Code
RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo	Changjiang Cai · Pan Ji · Qingan Yan · Yi Xu	N/A	Code
Depth Estimation From Camera Image and mmWave Radar Point Cloud	Akash Deep Singh · Yunhao Ba · Ankur Sarker · Howard Zhang · Achuta Kadambi · Stefano Soatto · Mani Srivastava · Alex Wong	N/A	Code
Normal-Guided Garment UV Prediction for Human Re-Texturing	Yasamin Jafarian · Tuanfeng Y. Wang · Duygu Ceylan · Jimei Yang · Nathan Carr · Yi Zhou · Hyun Soo Park	N/A	Code
WeatherStream: Light Transport Automation of Single Image Deweathering	Howard Zhang · Yunhao Ba · Ethan Yang · Varan Mehra · Blake Gella · Akira Suzuki · Arnold Pfahnl · Chethan Chinder Chandrappa · Alex Wong · Achuta Kadambi	N/A	Code
MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices	Kejie Li · Jia-Wang Bian · Robert Castle · Philip H.S. Torr · Victor Adrian Prisacariu	N/A	Code
Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity	Yanan Sun · Chi-Keung Tang · Yu-Wing Tai	N/A	Code
Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection	Chuandong Liu · Chenqiang Gao · Fangcen Liu · Pengcheng Li · Deyu Meng · Xinbo Gao	N/A	Code
PATS: Patch Area Transportation With Subdivision for Local Feature Matching	Junjie Ni · Yijin Li · Zhaoyang Huang · Hongsheng Li · Hujun Bao · Zhaopeng Cui · Guofeng Zhang	N/A	Code
SINE: Semantic-Driven Image-Based NeRF Editing With Prior-Guided Editing Field	Chong Bao · Yinda Zhang · Bangbang Yang · Tianxing Fan · Zesong Yang · Hujun Bao · Guofeng Zhang · Zhaopeng Cui	N/A	Code
GeoNet: Benchmarking Unsupervised Adaptation Across Geographies	Tarun Kalluri · Wangdong Xu · Manmohan Chandraker	N/A	Code
Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset	Shuaizheng Liu · Xindong Zhang · Lingchen Sun · Zhetong Liang · Hui Zeng · Lei Zhang	N/A	Code
3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification	Jiazhao Zhang · Liu Dai · Fanpeng Meng · Qingnan Fan · Xuelin Chen · Kai Xu · He Wang	N/A	Code
Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling	Yulin Liu · Haoran Liu · Yingda Yin · Yang Wang · Baoquan Chen · He Wang	N/A	Code
RILS: Masked Visual Reconstruction in Language Semantic Space	Shusheng Yang · Yixiao Ge · Kun Yi · Dian Li · Ying Shan · Xiaohu Qie · Xinggang Wang	N/A	Code
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection	Benjin Zhu · Zhe Wang · Shaoshuai Shi · Hang Xu · Lanqing Hong · Hongsheng Li	N/A	Code
PREIM3D: 3D Consistent Precise Image Attribute Editing From a Single Image	Jianhui Li · Jianmin Li · Haoji Zhang · Shilong Liu · Zhengyi Wang · Zihao Xiao · Kaiwen Zheng · Jun Zhu	N/A	Code
Bridging Search Region Interaction With Template for RGB-T Tracking	Tianrui Hui · Zizheng Xun · Fengguang Peng · Junshi Huang · Xiaoming Wei · Xiaolin Wei · Jiao Dai · Jizhong Han · Si Liu	N/A	Code
Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels	Jingqiu Zhou · Linjiang Huang · Liang Wang · Si Liu · Hongsheng Li	N/A	Code
Learning To Zoom and Unzoom	Chittesh Thavamani · Mengtian Li · Francesco Ferroni · Deva Ramanan	N/A	Code
MaLP: Manipulation Localization Using a Proactive Scheme	Vishal Asnani · Xi Yin · Tal Hassner · Xiaoming Liu	N/A	Code
Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning	Haiyu Wu · Grace Bezold · Aman Bhatta · Kevin W. Bowyer	N/A	Code
Visual-Tactile Sensing for In-Hand Object Reconstruction	Wenqiang Xu · Zhenjun Yu · Han Xue · Ruolin Ye · Siqiong Yao · Cewu Lu	N/A	Code
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training	Filip Radenovic · Abhimanyu Dubey · Abhishek Kadian · Todor Mihaylov · Simon Vandenhende · Yash Patel · Yi Wen · Vignesh Ramanathan · Dhruv Mahajan	N/A	Code
Semi-Supervised Domain Adaptation With Source Label Adaptation	Yu-Chu Yu · Hsuan-Tien Lin	N/A	Code
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection	Chao Feng · Ziyang Chen · Andrew Owens	N/A	Code
IterativePFN: True Iterative Point Cloud Filtering	Dasith de Silva Edirimuni · Xuequan Lu · Zhiwen Shao · Gang Li · Antonio Robles-Kelly · Ying He	N/A	Code
Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time	Wei Shang · Dongwei Ren · Yi Yang · Hongzhi Zhang · Kede Ma · Wangmeng Zuo	N/A	Code
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning	Yun-Hao Cao · Peiqin Sun · Shuchang Zhou	N/A	Code
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking	Ziqi Pang · Jie Li · Pavel Tokmakov · Dian Chen · Sergey Zagoruyko · Yu-Xiong Wang	N/A	Code
VecFontSDF: Learning To Reconstruct and Synthesize High-Quality Vector Fonts via Signed Distance Functions	Zeqing Xia · Bojun Xiong · Zhouhui Lian	N/A	Code
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment	Baorui Ma · Junsheng Zhou · Yu-Shen Liu · Zhizhong Han	N/A	Code
Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization	Hantao Yao · Rui Zhang · Changsheng Xu	N/A	Code
Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation	Ju He · Jieneng Chen · Ming-Xian Lin · Qihang Yu · Alan L. Yuille	N/A	Code
Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography	Yue Cao · Ming Liu · Shuai Liu · Xiaotao Wang · Lei Lei · Wangmeng Zuo	N/A	Code
Dynamic Focus-Aware Positional Queries for Semantic Segmentation	Haoyu He · Jianfei Cai · Zizheng Pan · Jing Liu · Jing Zhang · Dacheng Tao · Bohan Zhuang	N/A	Code
Generic-to-Specific Distillation of Masked Autoencoders	Wei Huang · Zhiliang Peng · Li Dong · Furu Wei · Jianbin Jiao · Qixiang Ye	N/A	Code
Benchmarking Robustness of 3D Object Detection to Common Corruptions	Yinpeng Dong · Caixin Kang · Jinlai Zhang · Zijian Zhu · Yikai Wang · Xiao Yang · Hang Su · Xingxing Wei · Jun Zhu	N/A	Code
GarmentTracking: Category-Level Garment Pose Tracking	Han Xue · Wenqiang Xu · Jieyi Zhang · Tutian Tang · Yutong Li · Wenxin Du · Ruolin Ye · Cewu Lu	N/A	Code
TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets	Weixin Chen · Dawn Song · Bo Li	N/A	Code
Weakly Supervised Video Representation Learning With Unaligned Text for Sequential Videos	Sixun Dong · Huazhang Hu · Dongze Lian · Weixin Luo · Yicheng Qian · Shenghua Gao	N/A	Code
Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process	Yuhan Li · Yishun Dou · Xuanhong Chen · Bingbing Ni · Yilin Sun · Yutian Liu · Fuzhen Wang	N/A	Code
SpaText: Spatio-Textual Representation for Controllable Image Generation	Omri Avrahami · Thomas Hayes · Oran Gafni · Sonal Gupta · Yaniv Taigman · Devi Parikh · Dani Lischinski · Ohad Fried · Xi Yin	N/A	Code
Watch or Listen: Robust Audio-Visual Speech Recognition With Visual Corruption Modeling and Reliability Scoring	Joanna Hong · Minsu Kim · Jeongsoo Choi · Yong Man Ro	N/A	Code
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation	Titas Anciukevičius · Zexiang Xu · Matthew Fisher · Paul Henderson · Hakan Bilen · Niloy J. Mitra · Paul Guerrero	N/A	Code
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints	Yaqi Shen · Le Hui · Jin Xie · Jian Yang	N/A	Code
Adaptive Annealing for Robust Geometric Estimation	Chitturi Sidhartha · Lalit Manam · Venu Madhav Govindu	N/A	Code
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising	Miaoyu Li · Ji Liu · Ying Fu · Yulun Zhang · Dejing Dou	N/A	Code
Partial Network Cloning	Jingwen Ye · Songhua Liu · Xinchao Wang	N/A	Code
Twin Contrastive Learning With Noisy Labels	Zhizhong Huang · Junping Zhang · Hongming Shan	N/A	Code
Ambiguous Medical Image Segmentation Using Diffusion Models	Aimon Rahman · Jeya Maria Jose Valanarasu · Ilker Hacihaliloglu · Vishal M. Patel	N/A	Code
High-Res Facial Appearance Capture From Polarized Smartphone Images	Dejan Azinović · Olivier Maury · Christophe Hery · Matthias Nießner · Justus Thies	N/A	Code
AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation	Takehiko Ohkawa · Kun He · Fadime Sener · Tomas Hodan · Luan Tran · Cem Keskin	N/A	Code
EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata	Chenhao Zheng · Ayush Shrivastava · Andrew Owens	N/A	Code
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures	Gal Metzer · Elad Richardson · Or Patashnik · Raja Giryes · Daniel Cohen-Or	N/A	Code
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning	Sungmin Cha · Sungjun Cho · Dasol Hwang · Sunwon Hong · Moontae Lee · Taesup Moon	N/A	Code
Progressive Neighbor Consistency Mining for Correspondence Pruning	Xin Liu · Jufeng Yang	N/A	Code
Post-Training Quantization on Diffusion Models	Yuzhang Shang · Zhihang Yuan · Bin Xie · Bingzhe Wu · Yan Yan	N/A	Code
Fully Self-Supervised Depth Estimation From Defocus Clue	Haozhe Si · Bin Zhao · Dong Wang · Yunpeng Gao · Mulin Chen · Zhigang Wang · Xuelong Li	N/A	Code
Curricular Object Manipulation in LiDAR-Based Object Detection	Ziyue Zhu · Qiang Meng · Xiao Wang · Ke Wang · Liujiang Yan · Jian Yang	N/A	Code
Adaptive Assignment for Geometry Aware Local Feature Matching	Dihe Huang · Ying Chen · Yong Liu · Jianlin Liu · Shang Xu · Wenlong Wu · Yikang Ding · Fan Tang · Chengjie Wang	N/A	Code
RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension	Lei Jin · Gen Luo · Yiyi Zhou · Xiaoshuai Sun · Guannan Jiang · Annan Shu · Rongrong Ji	N/A	Code
ANetQA: A Large-Scale Benchmark for Fine-Grained Compositional Reasoning Over Untrimmed Videos	Zhou Yu · Lixiang Zheng · Zhou Zhao · Fei Wu · Jianping Fan · Kui Ren · Jun Yu	N/A	Code
GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds	Honghui Yang · Tong He · Jiaheng Liu · Hua Chen · Boxi Wu · Binbin Lin · Xiaofei He · Wanli Ouyang	N/A	Code
Multimodal Industrial Anomaly Detection via Hybrid Fusion	Yue Wang · Jinlong Peng · Jiangning Zhang · Ran Yi · Yabiao Wang · Chengjie Wang	N/A	Code
B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution	Byeonghyun Pak · Jaewon Lee · Kyong Hwan Jin	N/A	Code
CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation	Yuqi Lin · Minghao Chen · Wenxiao Wang · Boxi Wu · Ke Li · Binbin Lin · Haifeng Liu · Xiaofei He	N/A	Code
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation	Ludan Ruan · Yiyang Ma · Huan Yang · Huiguo He · Bei Liu · Jianlong Fu · Nicholas Jing Yuan · Qin Jin · Baining Guo	N/A	Code
FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization	Jiawei Yang · Marco Pavone · Yue Wang	N/A	Code
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory	Sicheng Li · Hao Li · Yue Wang · Yiyi Liao · Lu Yu	N/A	Code
Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks	Jierun Chen · Shiu-hong Kao · Hao He · Weipeng Zhuo · Song Wen · Chul-Ho Lee · S.-H. Gary Chan	N/A	Code
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning	Cheng Tan · Zhangyang Gao · Lirong Wu · Yongjie Xu · Jun Xia · Siyuan Li · Stan Z. Li	N/A	Code
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module	Linzhi Huang · Yulong Li · Hongbo Tian · Yue Yang · Xiangang Li · Weihong Deng · Jieping Ye	N/A	Code
Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification	Zhengwei Yang · Meng Lin · Xian Zhong · Yu Wu · Zheng Wang	N/A	Code
Feature Alignment and Uniformity for Test Time Adaptation	Shuai Wang · Daoan Zhang · Zipei Yan · Jianguo Zhang · Rui Li	N/A	Code
AeDet: Azimuth-Invariant Multi-View 3D Object Detection	Chengjian Feng · Zequn Jie · Yujie Zhong · Xiangxiang Chu · Lin Ma	N/A	Code
Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need	Tong Wei · Kai Gan	N/A	Code
OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization	Ying Zhao	N/A	Code
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization	Sungyeon Kim · Boseung Jeong · Suha Kwak	N/A	Code
Generative Diffusion Prior for Unified Image Restoration and Enhancement	Ben Fei · Zhaoyang Lyu · Liang Pan · Junzhe Zhang · Weidong Yang · Tianyue Luo · Bo Zhang · Bo Dai	N/A	Code
Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder	Aming Wu · Cheng Deng	N/A	Code
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection	Mikhail Kennerley · Jian-Gang Wang · Bharadwaj Veeravalli · Robby T. Tan	N/A	Code
Linking Garment With Person via Semantically Associated Landmarks for Virtual Try-On	Keyu Yan · Tingwei Gao · Hui Zhang · Chengjun Xie	N/A	Code
A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation	Congqi Cao · Yue Lu · Peng Wang · Yanning Zhang	N/A	Code
DINER: Depth-Aware Image-Based NEural Radiance Fields	Malte Prinzler · Otmar Hilliges · Justus Thies	N/A	Code
Learning Personalized High Quality Volumetric Head Avatars From Monocular RGB Videos	Ziqian Bai · Feitong Tan · Zeng Huang · Kripasindhu Sarkar · Danhang Tang · Di Qiu · Abhimitra Meka · Ruofei Du · Mingsong Dou · Sergio Orts-Escolano · Rohit Pandey · Ping Tan · Thabo Beeler · Sean Fanello · Yinda Zhang	N/A	Code
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics	Artur Grigorev · Michael J. Black · Otmar Hilliges	N/A	Code
Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation	Shenghai Rong · Bohai Tu · Zilei Wang · Junjie Li	N/A	Code
Instant Volumetric Head Avatars	Wojciech Zielonka · Timo Bolkart · Justus Thies	N/A	Code
From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm	Jie Chen · Zilong Li · Yin Zhu · Junping Zhang · Jian Pu	N/A	Code
Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer	Shubh Maheshwari · Rahul Narain · Ramya Hebbalaguppe	N/A	Code
An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions	Weijia Li · Saihui Hou · Chunjie Zhang · Chunshui Cao · Xu Liu · Yongzhen Huang · Yao Zhao	N/A	Code
Event-Based Shape From Polarization	Manasi Muglikar · Leonard Bauersfeld · Diederik Paul Moeys · Davide Scaramuzza	N/A	Code
Plateau-Reduced Differentiable Path Tracing	Michael Fischer · Tobias Ritschel	N/A	Code
End-to-End Video Matting With Trimap Propagation	Wei-Lun Huang · Ming-Sui Lee	N/A	Code
Weakly-Supervised Single-View Image Relighting	Renjiao Yi · Chenyang Zhu · Kai Xu	N/A	Code
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning	Weixuan Sun · Jiayi Zhang · Jianyuan Wang · Zheyuan Liu · Yiran Zhong · Tianpeng Feng · Yandong Guo · Yanhao Zhang · Nick Barnes	N/A	Code
Non-Contrastive Unsupervised Learning of Physiological Signals From Video	Jeremy Speth · Nathan Vance · Patrick Flynn · Adam Czajka	N/A	Code
Structured Sparsity Learning for Efficient Video Super-Resolution	Bin Xia · Jingwen He · Yulun Zhang · Yitong Wang · Yapeng Tian · Wenming Yang · Luc Van Gool	N/A	Code
ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration	Wei-Ning Hsu · Tal Remez · Bowen Shi · Jacob Donley · Yossi Adi	N/A	Code
Shape, Pose, and Appearance From a Single Image via Bootstrapped Radiance Field Inversion	Dario Pavllo · David Joseph Tan · Marie-Julie Rakotosaona · Federico Tombari	N/A	Code
Towards Better Decision Forests: Forest Alternating Optimization	Miguel Á. Carreira-Perpiñán · Magzhan Gabidolla · Arman Zharmagambetov	N/A	Code
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning	Thomas Stegmüller · Tim Lebailly · Behzad Bozorgtabar · Tinne Tuytelaars · Jean-Philippe Thiran	N/A	Code
Polynomial Implicit Neural Representations for Large Diverse Datasets	Rajhans Singh · Ankita Shukla · Pavan Turaga	N/A	Code
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency	Lin Tian · Hastings Greer · François-Xavier Vialard · Roland Kwitt · Raúl San José Estépar · Richard Jarrett Rushmore · Nikolaos Makris · Sylvain Bouix · Marc Niethammer	N/A	Code
Exploring Discontinuity for Video Frame Interpolation	Sangjin Lee · Hyeongmin Lee · Chajin Shin · Hanbin Son · Sangyoun Lee	N/A	Code
Local 3D Editing via 3D Distillation of CLIP Knowledge	Junha Hyung · Sungwon Hwang · Daejin Kim · Hyunji Lee · Jaegul Choo	N/A	Code
Dynamic Conceptional Contrastive Learning for Generalized Category Discovery	Nan Pu · Zhun Zhong · Nicu Sebe	N/A	Code
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence	Mohammed Alloulah · Maximilian Arnold	N/A	Code
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection	Vibashan VS · Poojan Oza · Vishal M. Patel	N/A	Code
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition	Tianyu Luan · Yuanhao Zhai · Jingjing Meng · Zhong Li · Zhang Chen · Yi Xu · Junsong Yuan	N/A	Code
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions	Dale Decatur · Itai Lang · Rana Hanocka	N/A	Code
Egocentric Video Task Translation	Zihui Xue · Yale Song · Kristen Grauman · Lorenzo Torresani	N/A	Code
Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection	Yi Wang · Ruili Wang · Xin Fan · Tianzhu Wang · Xiangjian He	N/A	Code
Balanced Energy Regularization Loss for Out-of-Distribution Detection	hyunjun choi · Hawook Jeong · Jin Young Choi	N/A	Code
Private Image Generation With Dual-Purpose Auxiliary Classifier	Chen Chen · Daochang Liu · Siqi Ma · Surya Nepal · Chang Xu	N/A	Code
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models	Zhaoyang Lyu · Jinyi Wang · Yuwei An · Ya Zhang · Dahua Lin · Bo Dai	N/A	Code
Neural Video Compression With Diverse Contexts	Jiahao Li · Bin Li · Yan Lu	N/A	Code
Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection	Bo Zhang · Jiakang Yuan · Botian Shi · Tao Chen · Yikang Li · Yu Qiao	N/A	Code
ScarceNet: Animal Pose Estimation With Scarce Annotations	Chen Li · Gim Hee Lee	N/A	Code
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation	Tianlei Jin · Fangtai Guo · Qiwei Meng · Shiqiang Zhu · Xiangming Xi · Wen Wang · Zonghao Mu · Wei Song	N/A	Code
TriDet: Temporal Action Detection With Relative Boundary Modeling	Dingfeng Shi · Yujie Zhong · Qiong Cao · Lin Ma · Jia Li · Dacheng Tao	N/A	Code
Multi-Level Logit Distillation	Ying Jin · Jiaqi Wang · Dahua Lin	N/A	Code
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning	Yuqian Fu · Yu Xie · Yanwei Fu · Yu-Gang Jiang	N/A	Code
Text With Knowledge Graph Augmented Transformer for Video Captioning	Xin Gu · Guang Chen · Yufei Wang · Libo Zhang · Tiejian Luo · Longyin Wen	N/A	Code
Semantic Ray: Learning a Generalizable Semantic Field With Cross-Reprojection Attention	Fangfu Liu · Chubin Zhang · Yu Zheng · Yueqi Duan	N/A	Code
MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models	Dohwan Ko · Joonmyung Choi · Hyeong Kyu Choi · Kyoung-Woon On · Byungseok Roh · Hyunwoo J. Kim	N/A	Code
Self-Supervised AutoFlow	Hsin-Ping Huang · Charles Herrmann · Junhwa Hur · Erika Lu · Kyle Sargent · Austin Stone · Ming-Hsuan Yang · Deqing Sun	N/A	Code
Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images	Bowei Du · Yecheng Huang · Jiaxin Chen · Di Huang	N/A	Code
Context-Based Trit-Plane Coding for Progressive Image Compression	Seungmin Jeon · Kwang Pyo Choi · Youngo Park · Chang-Su Kim	N/A	Code
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses	Junbong Jang · Kwonmoo Lee · Tae-Kyun Kim	N/A	Code
VQACL: A Novel Visual Question Answering Continual Learning Setting	Xi Zhang · Feifei Zhang · Changsheng Xu	N/A	Code
Explicit Visual Prompting for Low-Level Structure Segmentations	Weihuang Liu · Xi Shen · Chi-Man Pun · Xiaodong Cun	N/A	Code
Practical Network Acceleration With Tiny Sets	Guo-Hua Wang · Jianxin Wu	N/A	Code
Sphere-Guided Training of Neural Implicit Surfaces	Andreea Dogaru · Andrei-Timotei Ardelean · Savva Ignatyev · Egor Zakharov · Evgeny Burnaev	N/A	Code
Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection	Huajun Zhou · Bo Qiao · Lingxiao Yang · Jianhuang Lai · Xiaohua Xie	N/A	Code
FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction	Haoran Bai · Di Kang · Haoxian Zhang · Jinshan Pan · Linchao Bao	N/A	Code
Differentiable Shadow Mapping for Efficient Inverse Graphics	Markus Worchel · Marc Alexa	N/A	Code
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation	Wenxuan Zhang · Xiaodong Cun · Xuan Wang · Yong Zhang · Xi Shen · Yu Guo · Ying Shan · Fei Wang	N/A	Code
High-Fidelity and Freely Controllable Talking Head Video Generation	Yue Gao · Yuan Zhou · Jinglu Wang · Xiao Li · Xiang Ming · Yan Lu	N/A	Code
BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation	Junheum Park · Jintae Kim · Chang-Su Kim	N/A	Code
Noisy Correspondence Learning With Meta Similarity Correction	Haochen Han · Kaiyao Miao · Qinghua Zheng · Minnan Luo	N/A	Code
EVAL: Explainable Video Anomaly Localization	Ashish Singh · Michael J. Jones · Erik G. Learned-Miller	N/A	Code
Adaptive Plasticity Improvement for Continual Learning	Yan-Shuo Liang · Wu-Jun Li	N/A	Code
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision	Aditay Tripathi · Rishubh Singh · Anirban Chakraborty · Pradeep Shenoy	N/A	Code
MOSO: Decomposing MOtion, Scene and Object for Video Prediction	Mingzhen Sun · Weining Wang · Xinxin Zhu · Jing Liu	N/A	Code
Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses	Eric Brachmann · Tommaso Cavallari · Victor Adrian Prisacariu	N/A	Code
A Probabilistic Attention Model With Occlusion-Aware Texture Regression for 3D Hand Reconstruction From a Single RGB Image	Zheheng Jiang · Hossein Rahmani · Sue Black · Bryan M. Williams	N/A	Code
Revisiting Rotation Averaging: Uncertainties and Robust Losses	Ganlin Zhang · Viktor Larsson · Daniel Barath	N/A	Code
LiDAR-in-the-Loop Hyperparameter Optimization	Félix Goudreault · Dominik Scheuble · Mario Bijelic · Nicolas Robidoux · Felix Heide	N/A	Code
Query-Dependent Video Representation for Moment Retrieval and Highlight Detection	WonJun Moon · Sangeek Hyun · SangUk Park · Dongchan Park · Jae-Pil Heo	N/A	Code
High-Fidelity 3D Face Generation From Natural Language Descriptions	Menghua Wu · Hao Zhu · Linjia Huang · Yiyu Zhuang · Yuanxun Lu · Xun Cao	N/A	Code
NeRF-Supervised Deep Stereo	Fabio Tosi · Alessio Tonioni · Daniele De Gregorio · Matteo Poggi	N/A	Code
vMAP: Vectorised Object Mapping for Neural Field SLAM	Xin Kong · Shikun Liu · Marwan Taher · Andrew J. Davison	N/A	Code
DiffRF: Rendering-Guided 3D Radiance Field Diffusion	Norman Müller · Yawar Siddiqui · Lorenzo Porzi · Samuel Rota Bulò · Peter Kontschieder · Matthias Nießner	N/A	Code
TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers	Cheng Zhang · Hai Liu · Yongjian Deng · Bochen Xie · Youfu Li	N/A	Code
Learning a Depth Covariance Function	Eric Dexheimer · Andrew J. Davison	N/A	Code
Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model	Rolandos Alexandros Potamias · Stylianos Ploumpis · Stylianos Moschoglou · Vasileios Triantafyllou · Stefanos Zafeiriou	N/A	Code
The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks	Iuri Frosio · Jan Kautz	N/A	Code
Test of Time: Instilling Video-Language Models With a Sense of Time	Piyush Bagad · Makarand Tapaswi · Cees G. M. Snoek	N/A	Code
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects	Bowen Wen · Jonathan Tremblay · Valts Blukis · Stephen Tyree · Thomas Müller · Alex Evans · Dieter Fox · Jan Kautz · Stan Birchfield	N/A	Code
Leveraging Hidden Positives for Unsupervised Semantic Segmentation	Hyun Seok Seong · WonJun Moon · SuBeen Lee · Jae-Pil Heo	N/A	Code
BlendFields: Few-Shot Example-Driven Facial Modeling	Kacper Kania · Stephan J. Garbin · Andrea Tagliasacchi · Virginia Estellers · Kwang Moo Yi · Julien Valentin · Tomasz Trzciński · Marek Kowalski	N/A	Code
CIRCLE: Capture in Rich Contextual Environments	João Pedro Araújo · Jiaman Li · Karthik Vetrivel · Rishi Agarwal · Jiajun Wu · Deepak Gopinath · Alexander William Clegg · Karen Liu	N/A	Code
Realistic Saliency Guided Image Enhancement	S. Mahdi H. Miangoleh · Zoya Bylinskii · Eric Kee · Eli Shechtman · Yağiz Aksoy	N/A	Code
Implicit Neural Head Synthesis via Controllable Local Deformation Fields	Chuhan Chen · Matthew O’Toole · Gaurav Bharaj · Pablo Garrido	N/A	Code
Ensemble-Based Blackbox Attacks on Dense Prediction	Zikui Cai · Yaoteng Tan · M. Salman Asif	N/A	Code
NaQ: Leveraging Narrations As Queries To Supervise Episodic Memory	Santhosh Kumar Ramakrishnan · Ziad Al-Halah · Kristen Grauman	N/A	Code
Rethinking Federated Learning With Domain Shift: A Prototype View	Wenke Huang · Mang Ye · Zekun Shi · He Li · Bo Du	N/A	Code
Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation	Shao-Yuan Lo · Poojan Oza · Sumanth Chennupati · Alejandro Galindo · Vishal M. Patel	N/A	Code
Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection	Jiakang Yuan · Bo Zhang · Xiangchao Yan · Tao Chen · Botian Shi · Yikang Li · Yu Qiao	N/A	Code
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection	Zhenglin Zhou · Huaxia Li · Hong Liu · Nanyang Wang · Gang Yu · Rongrong Ji	N/A	Code
Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement	Xingqun Qi · Chen Liu · Muyi Sun · Lincheng Li · Changjie Fan · Xin Yu	N/A	Code
Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures	Linshan Wu · Zhun Zhong · Leyuan Fang · Xingxin He · Qiang Liu · Jiayi Ma · Hao Chen	N/A	Code
Visual Dependency Transformers: Dependency Tree Emerges From Reversed Attention	Mingyu Ding · Yikang Shen · Lijie Fan · Zhenfang Chen · Zitian Chen · Ping Luo · Joshua B. Tenenbaum · Chuang Gan	N/A	Code
Frame Flexible Network	Yitian Zhang · Yue Bai · Chang Liu · Huan Wang · Sheng Li · Yun Fu	N/A	Code
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks	Hao Li · Jinguo Zhu · Xiaohu Jiang · Xizhou Zhu · Hongsheng Li · Chun Yuan · Xiaohua Wang · Yu Qiao · Xiaogang Wang · Wenhai Wang · Jifeng Dai	N/A	Code
DCFace: Synthetic Face Generation With Dual Condition Diffusion Model	Minchul Kim · Feng Liu · Anil Jain · Xiaoming Liu	N/A	Code
Referring Image Matting	Jizhizi Li · Jing Zhang · Dacheng Tao	N/A	Code
Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids	Wei Dong · Christopher Choy · Charles Loop · Or Litany · Yuke Zhu · Anima Anandkumar	N/A	Code
DPE: Disentanglement of Pose and Expression for General Video Portrait Editing	Youxin Pang · Yong Zhang · Weize Quan · Yanbo Fan · Xiaodong Cun · Ying Shan · Dong-Ming Yan	N/A	Code
IDGI: A Framework To Eliminate Explanation Noise From Integrated Gradients	Ruo Yang · Binghui Wang · Mustafa Bilgic	N/A	Code
DynamicDet: A Unified Dynamic Architecture for Object Detection	Zhihao Lin · Yongtao Wang · Jinhe Zhang · Xiaojie Chu	N/A	Code
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification	Honglin Li · Chenglu Zhu · Yunlong Zhang · Yuxuan Sun · Zhongyi Shui · Wenwei Kuang · Sunyi Zheng · Lin Yang	N/A	Code
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution	Jaeill Kim · Suhyun Kang · Duhun Hwang · Jungwook Shin · Wonjong Rhee	N/A	Code
Semi-Weakly Supervised Object Kinematic Motion Prediction	Gengxin Liu · Qian Sun · Haibin Huang · Chongyang Ma · Yulan Guo · Li Yi · Hui Huang · Ruizhen Hu	N/A	Code
Computational Flash Photography Through Intrinsics	Sepideh Sarajian Maralan · Chris Careaga · Yağiz Aksoy	N/A	Code
Inversion-Based Style Transfer With Diffusion Models	Yuxin Zhang · Nisha Huang · Fan Tang · Haibin Huang · Chongyang Ma · Weiming Dong · Changsheng Xu	N/A	Code
Data-Driven Feature Tracking for Event Cameras	Nico Messikommer · Carter Fang · Mathias Gehrig · Davide Scaramuzza	N/A	Code
QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation	Sicheng Yang · Zhiyong Wu · Minglei Li · Zhensong Zhang · Lei Hao · Weihong Bao · Haolin Zhuang	N/A	Code
Neural Fourier Filter Bank	Zhijie Wu · Yuhe Jin · Kwang Moo Yi	N/A	Code
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective	Yuexiao Ma · Huixia Li · Xiawu Zheng · Xuefeng Xiao · Rui Wang · Shilei Wen · Xin Pan · Fei Chao · Rongrong Ji	N/A	Code
Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns	Javier Gamazo Tejero · Martin S. Zinkernagel · Sebastian Wolf · Raphael Sznitman · Pablo Márquez-Neila	N/A	Code
Trap Attention: Monocular Depth Estimation With Manual Traps	Chao Ning · Hongping Gan	N/A	Code
Physical-World Optical Adversarial Attacks on 3D Face Recognition	Yanjie Li · Yiquan Li · Xuelong Dai · Songtao Guo · Bin Xiao	N/A	Code
Re-Thinking Federated Active Learning Based on Inter-Class Diversity	SangMook Kim · Sangmin Bae · Hwanjun Song · Se-Young Yun	N/A	Code
EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets	Peng Liao · Yaochu Jin · Wenli Du	N/A	Code
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving	Lucas Nunes · Louis Wiesmann · Rodrigo Marcuzzi · Xieyuanli Chen · Jens Behley · Cyrill Stachniss	N/A	Code
Document Image Shadow Removal Guided by Color-Aware Background	Ling Zhang · Yinghao He · Qing Zhang · Zheng Liu · Xiaolong Zhang · Chunxia Xiao	N/A	Code
Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation	Yuanyuan Liu · Wenbin Wang · Yibing Zhan · Shaoze Feng · Kejun Liu · Zhe Chen	N/A	Code
Ham2Pose: Animating Sign Language Notation Into Pose Sequences	Rotem Shalev Arkushin · Amit Moryossef · Ohad Fried	N/A	Code
Resource-Efficient RGBD Aerial Tracking	Jinyu Yang · Shang Gao · Zhe Li · Feng Zheng · Aleš Leonardis	N/A	Code
Neural Transformation Fields for Arbitrary-Styled Font Generation	Bin Fu · Junjun He · Jianjun Wang · Yu Qiao	N/A	Code
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection	Qianjiang Hu · Daizong Liu · Wei Hu	N/A	Code
PAniC-3D: Stylized Single-View 3D Reconstruction From Portraits of Anime Characters	Shuhong Chen · Kevin Zhang · Yichun Shi · Heng Wang · Yiheng Zhu · Guoxian Song · Sizhe An · Janus Kristjansson · Xiao Yang · Matthias Zwicker	N/A	Code
HS-Pose: Hybrid Scope Feature Extraction for Category-Level Object Pose Estimation	Linfang Zheng · Chen Wang · Yinghan Sun · Esha Dasgupta · Hua Chen · Aleš Leonardis · Wei Zhang · Hyung Jin Chang	N/A	Code
A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction From In-the-Wild Images	Biwen Lei · Jianqiang Ren · Mengyang Feng · Miaomiao Cui · Xuansong Xie	N/A	Code
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification	Yue Yang · Artemis Panagopoulou · Shenghao Zhou · Daniel Jin · Chris Callison-Burch · Mark Yatskar	N/A	Code
SfM-TTR: Using Structure From Motion for Test-Time Refinement of Single-View Depth Networks	Sergio Izquierdo · Javier Civera	N/A	Code
TINC: Tree-Structured Implicit Neural Compression	Runzhao Yang	N/A	Code
Cross-Domain Image Captioning With Discriminative Finetuning	Roberto Dessì · Michele Bevilacqua · Eleonora Gualdoni · Nathanaël Carraz Rakotonirina · Francesca Franzon · Marco Baroni	N/A	Code
Learning To Detect Mirrors From Videos via Dual Correspondences	Jiaying Lin · Xin Tan · Rynson W.H. Lau	N/A	Code
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation	Zicheng Wang · Zhen Zhao · Xiaoxia Xing · Dong Xu · Xiangyu Kong · Luping Zhou	N/A	Code
Robust Unsupervised StyleGAN Image Restoration	Yohan Poirier-Ginter · Jean-François Lalonde	N/A	Code
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning	Rui Wang · Dongdong Chen · Zuxuan Wu · Yinpeng Chen · Xiyang Dai · Mengchen Liu · Lu Yuan · Yu-Gang Jiang	N/A	Code
Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes	Zian Wang · Tianchang Shen · Jun Gao · Shengyu Huang · Jacob Munkberg · Jon Hasselgren · Zan Gojcic · Wenzheng Chen · Sanja Fidler	N/A	Code
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation	Zhen Zhao · Lihe Yang · Sifan Long · Jimin Pi · Luping Zhou · Jingdong Wang	N/A	Code
Policy Adaptation From Foundation Model Feedback	Yuying Ge · Annabella Macaluso · Li Erran Li · Ping Luo · Xiaolong Wang	N/A	Code
Person Image Synthesis via Denoising Diffusion Model	Ankan Kumar Bhunia · Salman Khan · Hisham Cholakkal · Rao Muhammad Anwer · Jorma Laaksonen · Mubarak Shah · Fahad Shahbaz Khan	N/A	Code
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition With Pre-Trained Vision-Language Models	Wenhao Wu · Xiaohan Wang · Haipeng Luo · Jingdong Wang · Yi Yang · Wanli Ouyang	N/A	Code
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution	Jiezhang Cao · Qin Wang · Yongqin Xian · Yawei Li · Bingbing Ni · Zhiming Pi · Kai Zhang · Yulun Zhang · Radu Timofte · Luc Van Gool	N/A	Code
Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation	Phoenix Neale Williams · Ke Li	N/A	Code
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage	Haozhe Liu · Wentian Zhang · Bing Li · Haoqian Wu · Nanjun He · Yawen Huang · Yuexiang Li · Bernard Ghanem · Yefeng Zheng	N/A	Code
ViTs for SITS: Vision Transformers for Satellite Image Time Series	Michail Tarasiou · Erik Chavez · Stefanos Zafeiriou	N/A	Code
Latency Matters: Real-Time Action Forecasting Transformer	Harshayu Girase · Nakul Agarwal · Chiho Choi · Karttikeya Mangalam	N/A	Code
Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction	Oleg Voynov · Gleb Bobrovskikh · Pavel Karpyshev · Saveliy Galochkin · Andrei-Timotei Ardelean · Arseniy Bozhenko · Ekaterina Karmanova · Pavel Kopanev · Yaroslav Labutin-Rymsho · Ruslan Rakhimov · Aleksandr Safin · Valerii Serpiva · Alexey Artemov · Evgeny Burnaev · Dzmitry Tsetserukou · Denis Zorin	N/A	Code
Learning From Noisy Labels With Decoupled Meta Label Purifier	Yuanpeng Tu · Boshen Zhang · Yuxi Li · Liang Liu · Jian Li · Yabiao Wang · Chengjie Wang · Cai Rong Zhao	N/A	Code
Flow Supervision for Deformable NeRF	Chaoyang Wang · Lachlan Ewen MacDonald · László A. Jeni · Simon Lucey	N/A	Code
Unifying Vision, Text, and Layout for Universal Document Processing	Zineng Tang · Ziyi Yang · Guoxin Wang · Yuwei Fang · Yang Liu · Chenguang Zhu · Michael Zeng · Cha Zhang · Mohit Bansal	N/A	Code
BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos	Jennifer J. Sun · Lili Karashchuk · Amil Dravid · Serim Ryou · Sonia Fereidooni · John C. Tuthill · Aggelos Katsaggelos · Bingni W. Brunton · Georgia Gkioxari · Ann Kennedy · Yisong Yue · Pietro Perona	N/A	Code
Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning	Zixuan Hu · Li Shen · Zhenyi Wang · Tongliang Liu · Chun Yuan · Dacheng Tao	N/A	Code
RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis	Luwen Duan · Min Wu · Lijian Mao · Jun Yin · Jianping Xiong · Xi Li	N/A	Code
Meta Architecture for Point Cloud Analysis	Haojia Lin · Xiawu Zheng · Lijiang Li · Fei Chao · Shanshan Wang · Yan Wang · Yonghong Tian · Rongrong Ji	N/A	Code
DyLiN: Making Light Field Networks Dynamic	Heng Yu · Joel Julin · Zoltán Á. Milacski · Koichiro Niinuma · László A. Jeni	N/A	Code
OpenMix: Exploring Outlier Samples for Misclassification Detection	Fei Zhu · Zhen Cheng · Xu-Yao Zhang · Cheng-Lin Liu	N/A	Code
Adaptive Graph Convolutional Subspace Clustering	Lai Wei · Zhengwei Chen · Jun Yin · Changming Zhu · Rigui Zhou · Jin Liu	N/A	Code
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation	Guozhen Zhang · Yuhan Zhu · Haonan Wang · Youxin Chen · Gangshan Wu · Limin Wang	N/A	Code
Hybrid Active Learning via Deep Clustering for Video Action Detection	Aayush J. Rana · Yogesh S. Rawat	N/A	Code
Equiangular Basis Vectors	Yang Shen · Xuhao Sun · Xiu-Shen Wei	N/A	Code
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection	Shuailei Ma · Yuefeng Wang · Ying Wei · Jiaqi Fan · Thomas H. Li · Hongli Liu · Fanbing Lv	N/A	Code
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity	Zhao Xie · Tian Gao · Kewei Wu · Jiao Chang	N/A	Code
GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering	Weiqing Yan · Yuanyang Zhang · Chenlei Lv · Chang Tang · Guanghui Yue · Liang Liao · Weisi Lin	N/A	Code
Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning	Zesen Wu · Mang Ye	N/A	Code
Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding	Tal Shaharabany · Lior Wolf	N/A	Code
DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization	Richard Liu · Noam Aigerman · Vladimir G. Kim · Rana Hanocka	N/A	Code
BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency	Shuo Yang · Zhaopan Xu · Kai Wang · Yang You · Hongxun Yao · Tongliang Liu · Min Xu	N/A	Code
DaFKD: Domain-Aware Federated Knowledge Distillation	Haozhao Wang · Yichen Li · Wenchao Xu · Ruixuan Li · Yufeng Zhan · Zhigang Zeng	N/A	Code
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take	Ce Liu · Suryansh Kumar · Shuhang Gu · Radu Timofte · Luc Van Gool	N/A	Code
Align Your Latents: High-Resolution Video Synthesis With Latent Diffusion Models	Andreas Blattmann · Robin Rombach · Huan Ling · Tim Dockhorn · Seung Wook Kim · Sanja Fidler · Karsten Kreis	N/A	Code
GeoLayoutLM: Geometric Pre-Training for Visual Information Extraction	Chuwei Luo · Changxu Cheng · Qi Zheng · Cong Yao	N/A	Code
VideoMAE V2: Scaling Video Masked Autoencoders With Dual Masking	Limin Wang · Bingkun Huang · Zhiyu Zhao · Zhan Tong · Yinan He · Yi Wang · Yali Wang · Yu Qiao	N/A	Code
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment	Jiangbin Zheng · Yile Wang · Cheng Tan · Siyuan Li · Ge Wang · Jun Xia · Yidong Chen · Stan Z. Li	N/A	Code
All Are Worth Words: A ViT Backbone for Diffusion Models	Fan Bao · Shen Nie · Kaiwen Xue · Yue Cao · Chongxuan Li · Hang Su · Jun Zhu	N/A	Code
PanoSwin: A Pano-Style Swin Transformer for Panorama Understanding	Zhixin Ling · Zhen Xing · Xiangdong Zhou · Manliang Cao · Guichun Zhou	N/A	Code
sRGB Real Noise Synthesizing With Neighboring Correlation-Aware Noise Model	Zixuan Fu · Lanqing Guo · Bihan Wen	N/A	Code
Extracting Class Activation Maps From Non-Discriminative Features As Well	Zhaozheng Chen · Qianru Sun	N/A	Code
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task	Huiping Zhuang · Zhenyu Weng · Run He · Zhiping Lin · Ziqian Zeng	N/A	Code
ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer	Shen Lin · Xiaoyu Zhang · Chenyang Chen · Xiaofeng Chen · Willy Susilo	N/A	Code
PDPP:Projected Diffusion for Procedure Planning in Instructional Videos	Hanlin Wang · Yilu Wu · Sheng Guo · Limin Wang	N/A	Code
NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction	Bowen Cai · Jinchi Huang · Rongfei Jia · Chengfei Lv · Huan Fu	N/A	Code
Deep Polarization Reconstruction With PDAVIS Events	Haiyang Mei · Zuowen Wang · Xin Yang · Xiaopeng Wei · Tobi Delbruck	N/A	Code
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers	Sifan Long · Zhen Zhao · Jimin Pi · Shengsheng Wang · Jingdong Wang	N/A	Code
PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering	Fuchen Long · Ting Yao · Zhaofan Qiu · Lusong Li · Tao Mei	N/A	Code
PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning	Huiwei Lin · Baoquan Zhang · Shanshan Feng · Xutao Li · Yunming Ye	N/A	Code
Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval	Tan Pan · Furong Xu · Xudong Yang · Sifeng He · Chen Jiang · Qingpei Guo · Feng Qian · Xiaobo Zhang · Yuan Cheng · Lei Yang · Wei Chu	N/A	Code
PermutoSDF: Fast Multi-View Reconstruction With Implicit Surfaces Using Permutohedral Lattices	Radu Alexandru Rosu · Sven Behnke	N/A	Code
StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis	Hao Li · Xianxu Hou · Zepeng Huang · Linlin Shen	N/A	Code
MixNeRF: Modeling a Ray With Mixture Density for Novel View Synthesis From Sparse Inputs	Seunghyeon Seo · Donghoon Han · Yeonjin Chang · Nojun Kwak	N/A	Code
Upcycling Models Under Domain and Category Shift	Sanqing Qu · Tianpei Zou · Florian Röhrbein · Cewu Lu · Guang Chen · Dacheng Tao · Changjun Jiang	N/A	Code
Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors	Yongqiang Zhang · Zhipeng Hu · Haoqian Wu · Minda Zhao · Lincheng Li · Zhengxia Zou · Changjie Fan	N/A	Code
Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model	Yuming Du · Robin Kips · Albert Pumarola · Sebastian Starke · Ali Thabet · Artsiom Sanakoyeu	N/A	Code
MoStGAN-V: Video Generation With Temporal Motion Styles	Xiaoqian Shen · Xiang Li · Mohamed Elhoseiny	N/A	Code
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks	HyunJun Jung · Patrick Ruhkamp · Guangyao Zhai · Nikolas Brasch · Yitong Li · Yannick Verdie · Jifei Song · Yiren Zhou · Anil Armagan · Slobodan Ilic · Aleš Leonardis · Nassir Navab · Benjamin Busam	N/A	Code
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting	Aayush Kumar Tyagi · Chirag Mohapatra · Prasenjit Das · Govind Makharia · Lalita Mehra · Prathosh AP · Mausam	N/A	Code
Learning Action Changes by Measuring Verb-Adverb Textual Relationships	Davide Moltisanti · Frank Keller · Hakan Bilen · Laura Sevilla-Lara	N/A	Code
Interactive and Explainable Region-Guided Radiology Report Generation	Tim Tanida · Philip Müller · Georgios Kaissis · Daniel Rueckert	N/A	Code
Learning Neural Volumetric Representations of Dynamic Humans in Minutes	Chen Geng · Sida Peng · Zhen Xu · Hujun Bao · Xiaowei Zhou	N/A	Code
Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt	Hao Li · Dingwen Zhang · Nian Liu · Lechao Cheng · Yalun Dai · Chao Zhang · Xinggang Wang · Junwei Han	N/A	Code
Learning Rotation-Equivariant Features for Visual Correspondence	Jongmin Lee · Byungjin Kim · Seungwook Kim · Minsu Cho	N/A	Code
Co-Training 2L Submodels for Visual Recognition	Hugo Touvron · Matthieu Cord · Maxime Oquab · Piotr Bojanowski · Jakob Verbeek · Hervé Jégou	N/A	Code
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search	Jiechao Yang · Yong Liu · Hongteng Xu	N/A	Code
LANA: A Language-Capable Navigator for Instruction Following and Generation	Xiaohan Wang · Wenguan Wang · Jiayi Shao · Yi Yang	N/A	Code
Visual Localization Using Imperfect 3D Models From the Internet	Vojtech Panek · Zuzana Kukelova · Torsten Sattler	N/A	Code
Diversity-Measurable Anomaly Detection	Wenrui Liu · Hong Chang · Bingpeng Ma · Shiguang Shan · Xilin Chen	N/A	Code
SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization	Juliette Marrie · Michael Arbel · Diane Larlus · Julien Mairal	N/A	Code
Recurrent Vision Transformers for Object Detection With Event Cameras	Mathias Gehrig · Davide Scaramuzza	N/A	Code
Efficient Verification of Neural Networks Against LVM-Based Specifications	Harleen Hanspal · Alessio Lomuscio	N/A	Code
Neuralizer: General Neuroimage Analysis Without Re-Training	Steffen Czolbe · Adrian V. Dalca	N/A	Code
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning Meets Knowledge Distillation	Roy Miles · Mehmet Kerim Yucel · Bruno Manganelli · Albert Saà-Garriga	N/A	Code
SCOTCH and SODA: A Transformer Video Shadow Detection Framework	Lihao Liu · Jean Prost · Lei Zhu · Nicolas Papadakis · Pietro Liò · Carola-Bibiane Schönlieb · Angelica I. Aviles-Rivero	N/A	Code
A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance	Xianmin Xu · Yuxin Lin · Haoyang Zhou · Chong Zeng · Yaxin Yu · Kun Zhou · Hongzhi Wu	N/A	Code
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures	Eugenia Iofinova · Alexandra Peste · Dan Alistarh	N/A	Code
InstructPix2Pix: Learning To Follow Image Editing Instructions	Tim Brooks · Aleksander Holynski · Alexei A. Efros	N/A	Code
AnchorFormer: Point Cloud Completion From Discriminative Nodes	Zhikai Chen · Fuchen Long · Zhaofan Qiu · Ting Yao · Wengang Zhou · Jiebo Luo · Tao Mei	N/A	Code
Robust Test-Time Adaptation in Dynamic Scenarios	Longhui Yuan · Binhui Xie · Shuang Li	N/A	Code
AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers	Zechuan Li · Hongshan Yu · Zhengeng Yang · Tongjia Chen · Naveed Akhtar	N/A	Code
Neural Texture Synthesis With Guided Correspondence	Yang Zhou · Kaijian Chen · Rongjun Xiao · Hui Huang	N/A	Code
Learning To Render Novel Views From Wide-Baseline Stereo Pairs	Yilun Du · Cameron Smith · Ayush Tewari · Vincent Sitzmann	N/A	Code
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision	Fangqiang Ding · Andras Palffy · Dariu M. Gavrila · Chris Xiaoxuan Lu	N/A	Code
SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation	Rita Ramos · Bruno Martins · Desmond Elliott · Yova Kementchedjhieva	N/A	Code
PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers	Jiacong Xu · Zixiang Xiong · Shankar P. Bhattacharyya	N/A	Code
NeRFLight: Fast and Light Neural Radiance Fields Using a Shared Feature Grid	Fernando Rivas-Manzaneque · Jorge Sierra-Acosta · Adrian Penate-Sanchez · Francesc Moreno-Noguer · Angela Ribeiro	N/A	Code
Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts	Nikolas Lamb · Cameron Palmer · Benjamin Molloy · Sean Banerjee · Natasha Kholgade Banerjee	N/A	Code
PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration	Junle Yu · Luwei Ren · Yu Zhang · Wenhui Zhou · Lili Lin · Guojun Dai	N/A	Code
Neural Volumetric Memory for Visual Locomotion Control	Ruihan Yang · Ge Yang · Xiaolong Wang	N/A	Code
InstantAvatar: Learning Avatars From Monocular Video in 60 Seconds	Tianjian Jiang · Xu Chen · Jie Song · Otmar Hilliges	N/A	Code
TMO: Textured Mesh Acquisition of Objects With a Mobile Device by Using Differentiable Rendering	Jaehoon Choi · Dongki Jung · Taejae Lee · Sangwook Kim · Youngdong Jung · Dinesh Manocha · Donghwan Lee	N/A	Code
MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding	Jun Chen · Ming Hu · Darren J. Coker · Michael L. Berumen · Blair Costelloe · Sara Beery · Anna Rohrbach · Mohamed Elhoseiny	N/A	Code
Towards Fast Adaptation of Pretrained Contrastive Models for Multi-Channel Video-Language Retrieval	Xudong Lin · Simran Tiwari · Shiyuan Huang · Manling Li · Mike Zheng Shou · Heng Ji · Shih-Fu Chang	N/A	Code
Hierarchical Fine-Grained Image Forgery Detection and Localization	Xiao Guo · Xiaohong Liu · Zhiyuan Ren · Steven Grosz · Iacopo Masi · Xiaoming Liu	N/A	Code
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision	Xubo Liu · Egor Lakomkin · Konstantinos Vougioukas · Pingchuan Ma · Honglie Chen · Ruiming Xie · Morrie Doulaty · Niko Moritz · Jachym Kolar · Stavros Petridis · Maja Pantic · Christian Fuegen	N/A	Code
RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts	Han Liu · Yuhao Wu · Shixuan Zhai · Bo Yuan · Ning Zhang	N/A	Code
Unsupervised Intrinsic Image Decomposition With LiDAR Intensity	Shogo Sato · Yasuhiro Yao · Taiga Yoshida · Takuhiro Kaneko · Shingo Ando · Jun Shimamura	N/A	Code
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples	Han Liu · Yuhao Wu · Zhiyuan Yu · Yevgeniy Vorobeychik · Ning Zhang	N/A	Code
NeFII: Inverse Rendering for Reflectance Decomposition With Near-Field Indirect Illumination	Haoqian Wu · Zhipeng Hu · Lincheng Li · Yongqiang Zhang · Changjie Fan · Xin Yu	N/A	Code
BEV-Guided Multi-Modality Fusion for Driving Perception	Yunze Man · Liang-Yan Gui · Yu-Xiong Wang	N/A	Code
MAGVLT: Masked Generative Vision-and-Language Transformer	Sungwoong Kim · Daejin Jo · Donghoon Lee · Jongmin Kim	N/A	Code
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training	Qingjie Zeng · Yutong Xie · Zilin Lu · Yong Xia	N/A	Code
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning	Cheng-Hao Tu · Zheda Mai · Wei-Lun Chao	N/A	Code
Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning	Wenju Sun · Qingyong Li · Jing Zhang · Wen Wang · Yangli-ao Geng	N/A	Code
PMR: Prototypical Modal Rebalance for Multimodal Learning	Yunfeng Fan · Wenchao Xu · Haozhao Wang · Junxiao Wang · Song Guo	N/A	Code
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks	Samyak Jain · Sravanti Addepalli · Pawan Kumar Sahu · Priyam Dey · R. Venkatesh Babu	N/A	Code
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven’s Progressive Matrices	Jingyi Xu · Tushar Vaidya · Yufei Wu · Saket Chandra · Zhangsheng Lai · Kai Fong Ernest Chong	N/A	Code
Swept-Angle Synthetic Wavelength Interferometry	Alankar Kotwal · Anat Levin · Ioannis Gkioulekas	N/A	Code
Passive Micron-Scale Time-of-Flight With Sunlight Interferometry	Alankar Kotwal · Anat Levin · Ioannis Gkioulekas	N/A	Code
Meta-Learning With a Geometry-Adaptive Preconditioner	Suhyun Kang · Duhun Hwang · Moonjung Eo · Taesup Kim · Wonjong Rhee	N/A	Code
3D GAN Inversion With Facial Symmetry Prior	Fei Yin · Yong Zhang · Xuan Wang · Tengfei Wang · Xiaoyu Li · Yuan Gong · Yanbo Fan · Xiaodong Cun · Ying Shan · Cengiz Oztireli · Yujiu Yang	N/A	Code
ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection	Yongqi An · Xu Zhao · Tao Yu · Haiyun Guo · Chaoyang Zhao · Ming Tang · Jinqiao Wang	N/A	Code
Neural Lens Modeling	Wenqi Xian · Aljaž Božič · Noah Snavely · Christoph Lassner	N/A	Code
A Probabilistic Framework for Lifelong Test-Time Adaptation	Dhanajit Brahma · Piyush Rai	N/A	Code
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation	Linglan Zhao · Jing Lu · Yunlu Xu · Zhanzhan Cheng · Dashan Guo · Yi Niu · Xiangzhong Fang	N/A	Code
GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting	Kangyang Luo · Xiang Li · Yunshi Lan · Ming Gao	N/A	Code
Hyperspherical Embedding for Point Cloud Completion	Junming Zhang · Haomeng Zhang · Ram Vasudevan · Matthew Johnson-Roberson	N/A	Code
Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning	Hyesong Choi · Hunsang Lee · Wonil Song · Sangryul Jeon · Kwanghoon Sohn · Dongbo Min	N/A	Code
Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation	Sun-Ao Liu · Yiheng Zhang · Zhaofan Qiu · Hongtao Xie · Yongdong Zhang · Ting Yao	N/A	Code
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment	Heyuan Li · Bo Wang · Yu Cheng · Mohan Kankanhalli · Robby T. Tan	N/A	Code
SViTT: Temporal Learning of Sparse Video-Text Transformers	Yi Li · Kyle Min · Subarna Tripathi · Nuno Vasconcelos	N/A	Code
Independent Component Alignment for Multi-Task Learning	Dmitry Senushkin · Nikolay Patakin · Arseny Kuznetsov · Anton Konushin	N/A	Code
Logical Implications for Visual Question Answering Consistency	Sergio Tascon-Morales · Pablo Márquez-Neila · Raphael Sznitman	N/A	Code
MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset	Chen Feng · Ioannis Patras	N/A	Code
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks	Wenhui Wang · Hangbo Bao · Li Dong · Johan Bjorck · Zhiliang Peng · Qiang Liu · Kriti Aggarwal · Owais Khan Mohammed · Saksham Singhal · Subhojit Som · Furu Wei	N/A	Code
Manipulating Transfer Learning for Property Inference	Yulong Tian · Fnu Suya · Anshuman Suri · Fengyuan Xu · David Evans	N/A	Code
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium	Antyanta Bangunharcana · Ahmed Magd · Kyung-Soo Kim	N/A	Code
Learning a 3D Morphable Face Reflectance Model From Low-Cost Data	Yuxuan Han · Zhibo Wang · Feng Xu	N/A	Code
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions	Tobias Kalb · Jürgen Beyerer	N/A	Code
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models	Gowthami Somepalli · Vasu Singla · Micah Goldblum · Jonas Geiping · Tom Goldstein	N/A	Code
Adaptive Data-Free Quantization	Biao Qian · Yang Wang · Richang Hong · Meng Wang	N/A	Code
Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning	Sungnyun Kim · Sangmin Bae · Se-Young Yun	N/A	Code
Jedi: Entropy-Based Localization and Removal of Adversarial Patches	Bilel Tarchoun · Anouar Ben Khalifa · Mohamed Ali Mahjoub · Nael Abu-Ghazaleh · Ihsen Alouani	N/A	Code
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models	Qiucheng Wu · Yujian Liu · Handong Zhao · Ajinkya Kale · Trung Bui · Tong Yu · Zhe Lin · Yang Zhang · Shiyu Chang	N/A	Code
Semantic-Conditional Diffusion Networks for Image Captioning	Jianjie Luo · Yehao Li · Yingwei Pan · Ting Yao · Jianlin Feng · Hongyang Chao · Tao Mei	N/A	Code
Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation	Zhen Zhao · Sifan Long · Jimin Pi · Jingdong Wang · Luping Zhou	N/A	Code
Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation	Aakanksha Aakanksha · A. N. Rajagopalan	N/A	Code
MetaViewer: Towards a Unified Multi-View Representation	Ren Wang · Haoliang Sun · Yuling Ma · Xiaoming Xi · Yilong Yin	N/A	Code
Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization	Simone Barattin · Christos Tzelepis · Ioannis Patras · Nicu Sebe	N/A	Code
A Light Weight Model for Active Speaker Detection	Junhua Liao · Haihan Duan · Kanghui Feng · Wanbing Zhao · Yanbing Yang · Liangyin Chen	N/A	Code
Shifted Diffusion for Text-to-Image Generation	Yufan Zhou · Bingchen Liu · Yizhe Zhu · Xiao Yang · Changyou Chen · Jinhui Xu	N/A	Code
Modular Memorability: Tiered Representations for Video Memorability Prediction	Théo Dumont · Juan Segundo Hevia · Camilo L. Fosco	N/A	Code
Learning Articulated Shape With Keypoint Pseudo-Labels From Web Images	Anastasis Stathopoulos · Georgios Pavlakos · Ligong Han · Dimitris N. Metaxas	N/A	Code
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases	Abhipsa Basu · Sravanti Addepalli · R. Venkatesh Babu	N/A	Code
RealImpact: A Dataset of Impact Sound Fields for Real Objects	Samuel Clarke · Ruohan Gao · Mason Wang · Mark Rau · Julia Xu · Jui-Hsien Wang · Doug L. James · Jiajun Wu	N/A	Code
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models	Nilesh Ahuja · Parual Datta · Bhavya Kanzariya · V. Srinivasa Somayazulu · Omesh Tickoo	N/A	Code
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics	Jialu Li · Mohit Bansal	N/A	Code
Simulated Annealing in Early Layers Leads to Better Generalization	Amir M. Sarfi · Zahra Karimpour · Muawiz Chaudhary · Nasir M. Khalid · Mirco Ravanelli · Sudhir Mudur · Eugene Belilovsky	N/A	Code
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models	Jiaxian Guo · Junnan Li · Dongxu Li · Anthony Meng Huat Tiong · Boyang Li · Dacheng Tao · Steven Hoi	N/A	Code
Where We Are and What We’re Looking At: Query Based Worldwide Image Geo-Localization Using Hierarchies and Scenes	Brandon Clark · Alec Kerrigan · Parth Parag Kulkarni · Vicente Vivanco Cepeda · Mubarak Shah	N/A	Code
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language	Aditya Sanghi · Rao Fu · Vivian Liu · Karl D.D. Willis · Hooman Shayani · Amir H. Khasahmadi · Srinath Sridhar · Daniel Ritchie	N/A	Code
Learning To Generate Text-Grounded Mask for Open-World Semantic Segmentation From Only Image-Text Pairs	Junbum Cha · Jonghwan Mun · Byungseok Roh	N/A	Code
Imitation Learning As State Matching via Differentiable Physics	Siwei Chen · Xiao Ma · Zhongwen Xu	N/A	Code
BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models	Bo Li · Kaitao Xue · Bin Liu · Yu-Kun Lai	N/A	Code
CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning	Jianlong Wu · Haozhe Yang · Tian Gan · Ning Ding · Feijun Jiang · Liqiang Nie	N/A	Code
Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration	Divya Saxena · Jiannong Cao · Jiahao Xu · Tarun Kulshrestha	N/A	Code
Learning Debiased Representations via Conditional Attribute Interpolation	Yi-Kai Zhang · Qi-Wei Wang · De-Chuan Zhan · Han-Jia Ye	N/A	Code
Weakly Supervised Posture Mining for Fine-Grained Classification	Zhenchao Tang · Hualin Yang · Calvin Yu-Chian Chen	N/A	Code
Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models	Cheng Guo · Leidong Fan · Ziyu Xue · Xiuhua Jiang	N/A	Code
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models	Ajay Jain · Amber Xie · Pieter Abbeel	N/A	Code
Adversarial Robustness via Random Projection Filters	Minjing Dong · Chang Xu	N/A	Code
IEEE Computer Society	Unknown	N/A	Code
The Computer Vision Foundation	Unknown	N/A	Code

CVPR 2021

Title	Author	PDF_Link	Code_URL
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation	Yen-Chi Cheng · Hsin-Ying Lee · Sergey Tulyakov · Alexander G. Schwing · Liang-Yan Gui	N/A	Code
Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring	Ruyang Liu · Jingjia Huang · Ge Li · Jiashi Feng · Xinglong Wu · Thomas H. Li	N/A	Code
Post-Processing Temporal Action Detection	Sauradip Nag · Xiatian Zhu · Yi-Zhe Song · Tao Xiang	N/A	Code
Learning Analytical Posterior Probability for Human Mesh Recovery	Qi Fang · Kang Chen · Yinghui Fan · Qing Shuai · Jiefeng Li · Weidong Zhang	N/A	Code
Accidental Light Probes	Hong-Xing Yu · Samir Agarwala · Charles Herrmann · Richard Szeliski · Noah Snavely · Jiajun Wu · Deqing Sun	N/A	Code
Multi-Object Manipulation via Object-Centric Neural Scattering Functions	Stephen Tian · Yancheng Cai · Hong-Xing Yu · Sergey Zakharov · Katherine Liu · Adrien Gaidon · Yunzhu Li · Jiajun Wu	N/A	Code
CFA: Class-Wise Calibrated Fair Adversarial Training	Zeming Wei · Yifei Wang · Yiwen Guo · Yisen Wang	N/A	Code
AutoAD: Movie Description in Context	Tengda Han · Max Bain · Arsha Nagrani · Gül Varol · Weidi Xie · Andrew Zisserman	N/A	Code
Relational Context Learning for Human-Object Interaction Detection	Sanghyun Kim · Deunsol Jung · Minsu Cho	N/A	Code
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations	Hagay Michaeli · Tomer Michaeli · Daniel Soudry	N/A	Code
Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective	Xin Li · Bingchen Li · Xin Jin · Cuiling Lan · Zhibo Chen	N/A	Code
Iterative Vision-and-Language Navigation	Jacob Krantz · Shurjo Banerjee · Wang Zhu · Jason Corso · Peter Anderson · Stefan Lee · Jesse Thomason	N/A	Code
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer	Zhijian Liu · Xinyu Yang · Haotian Tang · Shang Yang · Song Han	N/A	Code
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration	Sheng Ao · Qingyong Hu · Hanyun Wang · Kai Xu · Yulan Guo	N/A	Code
Learning Event Guided High Dynamic Range Video Reconstruction	Yixin Yang · Jin Han · Jinxiu Liang · Imari Sato · Boxin Shi	N/A	Code
3D Line Mapping Revisited	Shaohui Liu · Yifan Yu · Rémi Pautrat · Marc Pollefeys · Viktor Larsson	N/A	Code
High-Fidelity Event-Radiance Recovery via Transient Event Frequency	Jin Han · Yuta Asano · Boxin Shi · Yinqiang Zheng · Imari Sato	N/A	Code
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology	Jeongun Ryu · Aaron Valero Puche · JaeWoong Shin · Seonwook Park · Biagio Brattoli · Jinhee Lee · Wonkyung Jung · Soo Ick Cho · Kyunghyun Paeng · Chan-Young Ock · Donggeun Yoo · Sérgio Pereira	N/A	Code
Blur Interpolation Transformer for Real-World Motion From Blur	Zhihang Zhong · Mingdeng Cao · Xiang Ji · Yinqiang Zheng · Imari Sato	N/A	Code
Continuous Intermediate Token Learning With Implicit Motion Manifold for Keyframe Based Motion Interpolation	Clinton A. Mo · Kun Hu · Chengjiang Long · Zhiyong Wang	N/A	Code
Instant-NVR: Instant Neural Volumetric Rendering for Human-Object Interactions From Monocular RGBD Stream	Yuheng Jiang · Kaixin Yao · Zhuo Su · Zhehao Shen · Haimin Luo · Lan Xu	N/A	Code
HexPlane: A Fast Representation for Dynamic Scenes	Ang Cao · Justin Johnson	N/A	Code
Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models	Sachin Goyal · Ananya Kumar · Sankalp Garg · Zico Kolter · Aditi Raghunathan	N/A	Code
A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others	Zhiheng Li · Ivan Evtimov · Albert Gordo · Caner Hazirbas · Tal Hassner · Cristian Canton Ferrer · Chenliang Xu · Mark Ibrahim	N/A	Code
GIVL: Improving Geographical Inclusivity of Vision-Language Models With Pre-Training Methods	Da Yin · Feng Gao · Govind Thattai · Michael Johnston · Kai-Wei Chang	N/A	Code
Devil’s on the Edges: Selective Quad Attention for Scene Graph Generation	Deunsol Jung · Sanghyun Kim · Won Hwa Kim · Minsu Cho	N/A	Code
GeoMVSNet: Learning Multi-View Stereo With Geometry Perception	Zhe Zhang · Rui Peng · Yuxi Hu · Ronggang Wang	N/A	Code
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability	Fadi Boutros · Meiling Fang · Marcel Klemt · Biying Fu · Naser Damer	N/A	Code
NeuFace: Realistic 3D Neural Face Rendering From Multi-View Images	Mingwu Zheng · Haiyu Zhang · Hongyu Yang · Di Huang	N/A	Code
MethaneMapper: Spectral Absorption Aware Hyperspectral Transformer for Methane Detection	Satish Kumar · Ivan Arevalo · ASM Iftekhar · B S Manjunath	N/A	Code
Re-Thinking Model Inversion Attacks Against Deep Neural Networks	Ngoc-Bao Nguyen · Keshigeyan Chandrasegaran · Milad Abdollahzadeh · Ngai-Man Cheung	N/A	Code
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency	Yang Liu · Yao Zhang · Yixin Wang · Yang Zhang · Jiang Tian · Zhongchao Shi · Jianping Fan · Zhiqiang He	N/A	Code
VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation	Bingchen Yang · Haiyong Jiang · Hao Pan · Jun Xiao	N/A	Code
MARLIN: Masked Autoencoder for Facial Video Representation LearnINg	Zhixi Cai · Shreya Ghosh · Kalin Stefanov · Abhinav Dhall · Jianfei Cai · Hamid Rezatofighi · Reza Haffari · Munawar Hayat	N/A	Code
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation	Kaiwen Cui · Yingchen Yu · Fangneng Zhan · Shengcai Liao · Shijian Lu · Eric P. Xing	N/A	Code
Hierarchical Neural Memory Network for Low Latency Event Processing	Ryuhei Hamaguchi · Yasutaka Furukawa · Masaki Onishi · Ken Sakurada	N/A	Code
Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting	Wei Lin · Antoni B. Chan	N/A	Code
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information	Weijie Su · Xizhou Zhu · Chenxin Tao · Lewei Lu · Bin Li · Gao Huang · Yu Qiao · Xiaogang Wang · Jie Zhou · Jifeng Dai	N/A	Code
Revisiting Reverse Distillation for Anomaly Detection	Tran Dinh Tien · Anh Tuan Nguyen · Nguyen Hoang Tran · Ta Duc Huy · Soan T.M. Duong · Chanh D. Tr. Nguyen · Steven Q. H. Truong	N/A	Code
Conditional Generation of Audio From Video via Foley Analogies	Yuexi Du · Ziyang Chen · Justin Salamon · Bryan Russell · Andrew Owens	N/A	Code
Parameter Efficient Local Implicit Image Function Network for Face Segmentation	Mausoom Sarkar · Nikitha SR · Mayur Hemani · Rishabh Jain · Balaji Krishnamurthy	N/A	Code
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform	Yutaro Shigeto · Masashi Shimbo · Yuya Yoshikawa · Akikazu Takeuchi	N/A	Code
FaceLit: Neural 3D Relightable Faces	Anurag Ranjan · Kwang Moo Yi · Jen-Hao Rick Chang · Oncel Tuzel	N/A	Code
Pointersect: Neural Rendering With Cloud-Ray Intersection	Jen-Hao Rick Chang · Wei-Yu Chen · Anurag Ranjan · Kwang Moo Yi · Oncel Tuzel	N/A	Code
High-Fidelity Clothed Avatar Reconstruction From a Single Image	Tingting Liao · Xiaomei Zhang · Yuliang Xiu · Hongwei Yi · Xudong Liu · Guo-Jun Qi · Yong Zhang · Xuan Wang · Xiangyu Zhu · Zhen Lei	N/A	Code
BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields	Peng Wang · Lingzhe Zhao · Ruijie Ma · Peidong Liu	N/A	Code
Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection	Berkan Demirel · Orhun Buğra Baran · Ramazan Gokberk Cinbis	N/A	Code
StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields	Kunhao Liu · Fangneng Zhan · Yiwen Chen · Jiahui Zhang · Yingchen Yu · Abdulmotaleb El Saddik · Shijian Lu · Eric P. Xing	N/A	Code
DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting	Maoyuan Ye · Jing Zhang · Shanshan Zhao · Juhua Liu · Tongliang Liu · Bo Du · Dacheng Tao	N/A	Code
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution	Jie-En Yao · Li-Yuan Tsao · Yi-Chen Lo · Roy Tseng · Chia-Che Chang · Chun-Yi Lee	N/A	Code
LAVENDER: Unifying Video-Language Understanding As Masked Language Modeling	Linjie Li · Zhe Gan · Kevin Lin · Chung-Ching Lin · Zicheng Liu · Ce Liu · Lijuan Wang	N/A	Code
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution	Hao-Wei Chen · Yu-Syuan Xu · Min-Fong Hong · Yi-Min Tsai · Hsien-Kai Kuo · Chun-Yi Lee	N/A	Code
Fair Federated Medical Image Segmentation via Client Contribution Estimation	Meirui Jiang · Holger R. Roth · Wenqi Li · Dong Yang · Can Zhao · Vishwesh Nath · Daguang Xu · Qi Dou · Ziyue Xu	N/A	Code
An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling	Tsu-Jui Fu · Linjie Li · Zhe Gan · Kevin Lin · William Yang Wang · Lijuan Wang · Zicheng Liu	N/A	Code
ReCo: Region-Controlled Text-to-Image Generation	Zhengyuan Yang · Jianfeng Wang · Zhe Gan · Linjie Li · Kevin Lin · Chenfei Wu · Nan Duan · Zicheng Liu · Ce Liu · Michael Zeng · Lijuan Wang	N/A	Code
Uncertainty-Aware Vision-Based Metric Cross-View Geolocalization	Florian Fervers · Sebastian Bullinger · Christoph Bodensteiner · Michael Arens · Rainer Stiefelhagen	N/A	Code
LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation	Guangcong Zheng · Xianpan Zhou · Xuewei Li · Zhongang Qi · Ying Shan · Xi Li	N/A	Code
Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks	Yunrui Yu · Cheng-Zhong Xu	N/A	Code
NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation	Jiefeng Li · Siyuan Bian · Qi Liu · Jiasheng Tang · Fan Wang · Cewu Lu	N/A	Code
3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud	Mingtao Feng · Haoran Hou · Liang Zhang · Zijie Wu · Yulan Guo · Ajmal Mian	N/A	Code
Egocentric Auditory Attention Localization in Conversations	Fiona Ryan · Hao Jiang · Abhinav Shukla · James M. Rehg · Vamsi Krishna Ithapu	N/A	Code
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision	Jiahui Lei · Congyue Deng · Karl Schmeckpeper · Leonidas Guibas · Kostas Daniilidis	N/A	Code
Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning	Shi Chen · Qi Zhao	N/A	Code
Text-Visual Prompting for Efficient 2D Temporal Video Grounding	Yimeng Zhang · Xin Chen · Jinghan Jia · Sijia Liu · Ke Ding	N/A	Code
Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning	Youngjae Yu · Jiwan Chung · Heeseung Yun · Jack Hessel · Jae Sung Park · Ximing Lu · Rowan Zellers · Prithviraj Ammanabrolu · Ronan Le Bras · Gunhee Kim · Yejin Choi	N/A	Code
UniHCP: A Unified Model for Human-Centric Perceptions	Yuanzheng Ci · Yizhou Wang · Meilin Chen · Shixiang Tang · Lei Bai · Feng Zhu · Rui Zhao · Fengwei Yu · Donglian Qi · Wanli Ouyang	N/A	Code
VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval	Siteng Huang · Biao Gong · Yulin Pan · Jianwen Jiang · Yiliang Lv · Yuyuan Li · Donglin Wang	N/A	Code
PointConvFormer: Revenge of the Point-Based Convolution	Wenxuan Wu · Li Fuxin · Qi Shan	N/A	Code
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling	Hyo-Jun Lee · Hanul Kim · Su-Min Choi · Seong-Gyun Jeong · Yeong Jun Koh	N/A	Code
HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining	Shixiang Tang · Cheng Chen · Qingsong Xie · Meilin Chen · Yizhou Wang · Yuanzheng Ci · Lei Bai · Feng Zhu · Haiyang Yang · Li Yi · Rui Zhao · Wanli Ouyang	N/A	Code
Local Connectivity-Based Density Estimation for Face Clustering	Junho Shin · Hyo-Jun Lee · Hyunseop Kim · Jong-Hyeon Baek · Daehyun Kim · Yeong Jun Koh	N/A	Code
DistilPose: Tokenized Pose Regression With Heatmap Distillation	Suhang Ye · Yingyi Zhang · Jie Hu · Liujuan Cao · Shengchuan Zhang · Lei Shen · Jun Wang · Shouhong Ding · Rongrong Ji	N/A	Code
Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks	Weihua Chen · Xianzhe Xu · Jian Jia · Hao Luo · Yaohua Wang · Fan Wang · Rong Jin · Xiuyu Sun	N/A	Code
ViPLO: Vision Transformer Based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection	Jeeseung Park · Jin-Woo Park · Jong-Seok Lee	N/A	Code
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale	Yuxin Fang · Wen Wang · Binhui Xie · Quan Sun · Ledell Wu · Xinggang Wang · Tiejun Huang · Xinlong Wang · Yue Cao	N/A	Code
I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs	Jingsen Zhu · Yuchi Huo · Qi Ye · Fujun Luan · Jifan Li · Dianbing Xi · Lisha Wang · Rui Tang · Wei Hua · Hujun Bao · Rui Wang	N/A	Code
DrapeNet: Garment Generation and Self-Supervised Draping	Luca De Luigi · Ren Li · Benoît Guillard · Mathieu Salzmann · Pascal Fua	N/A	Code
STMixer: A One-Stage Sparse Action Detector	Tao Wu · Mengqi Cao · Ziteng Gao · Gangshan Wu · Limin Wang	N/A	Code
Inverse Rendering of Translucent Objects Using Physical and Neural Renderers	Chenhao Li · Trung Thanh Ngo · Hajime Nagahara	N/A	Code
Humans As Light Bulbs: 3D Human Reconstruction From Thermal Reflection	Ruoshi Liu · Carl Vondrick	N/A	Code
CF-Font: Content Fusion for Few-Shot Font Generation	Chi Wang · Min Zhou · Tiezheng Ge · Yuning Jiang · Hujun Bao · Weiwei Xu	N/A	Code
GLeaD: Improving GANs With a Generator-Leading Task	Qingyan Bai · Ceyuan Yang · Yinghao Xu · Xihui Liu · Yujiu Yang · Yujun Shen	N/A	Code
StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments	Sean Kulinski · Nicholas R. Waytowich · James Z. Hare · David I. Inouye	N/A	Code
WIRE: Wavelet Implicit Neural Representations	Vishwanath Saragadam · Daniel LeJeune · Jasper Tan · Guha Balakrishnan · Ashok Veeraraghavan · Richard G. Baraniuk	N/A	Code
Thermal Spread Functions (TSF): Physics-Guided Material Classification	Aniket Dashpute · Vishwanath Saragadam · Emma Alexander · Florian Willomitzer · Aggelos Katsaggelos · Ashok Veeraraghavan · Oliver Cossairt	N/A	Code
Improving Zero-Shot Generalization and Robustness of Multi-Modal Models	Yunhao Ge · Jie Ren · Andrew Gallagher · Yuxiao Wang · Ming-Hsuan Yang · Hartwig Adam · Laurent Itti · Balaji Lakshminarayanan · Jiaping Zhao	N/A	Code
The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection	Geoffroi Côté · Fahim Mannan · Simon Thibault · Jean-François Lalonde · Felix Heide	N/A	Code
Federated Domain Generalization With Generalization Adjustment	Ruipeng Zhang · Qinwei Xu · Jiangchao Yao · Ya Zhang · Qi Tian · Yanfeng Wang	N/A	Code
Propagate and Calibrate: Real-Time Passive Non-Line-of-Sight Tracking	Yihao Wang · Zhigang Wang · Bin Zhao · Dong Wang · Mulin Chen · Xuelong Li	N/A	Code
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network	Zhengxin Pan · Fangyu Wu · Bailing Zhang	N/A	Code
On the Benefits of 3D Pose and Tracking for Human Action Recognition	Jathushan Rajasegaran · Georgios Pavlakos · Angjoo Kanazawa · Christoph Feichtenhofer · Jitendra Malik	N/A	Code
Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations	Benjamin Ramtoula · Matthew Gadd · Paul Newman · Daniele De Martini	N/A	Code
Fine-Tuned CLIP Models Are Efficient Video Learners	Hanoona Rasheed · Muhammad Uzair Khattak · Muhammad Maaz · Salman Khan · Fahad Shahbaz Khan	N/A	Code
Connecting Vision and Language With Video Localized Narratives	Paul Voigtlaender · Soravit Changpinyo · Jordi Pont-Tuset · Radu Soricut · Vittorio Ferrari	N/A	Code
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance	Sara Fridovich-Keil · Giacomo Meanti · Frederik Rahbæk Warburg · Benjamin Recht · Angjoo Kanazawa	N/A	Code
Virtual Occlusions Through Implicit Depth	Jamie Watson · Mohamed Sayed · Zawar Qureshi · Gabriel J. Brostow · Sara Vicente · Oisin Mac Aodha · Michael Firman	N/A	Code
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories	Samarth Sinha · Roman Shapovalov · Jeremy Reizenstein · Ignacio Rocco · Natalia Neverova · Andrea Vedaldi · David Novotny	N/A	Code
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising	Zichun Wang · Ying Fu · Ji Liu · Yulun Zhang	N/A	Code
One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field	Weichuang Li · Longhao Zhang · Dong Wang · Bin Zhao · Zhigang Wang · Mulin Chen · Bang Zhang · Zhongjian Wang · Liefeng Bo · Xuelong Li	N/A	Code
Collaborative Diffusion for Multi-Modal Face Generation and Editing	Ziqi Huang · Kelvin C.K. Chan · Yuming Jiang · Ziwei Liu	N/A	Code
Blind Video Deflickering by Neural Filtering With a Flawed Atlas	Chenyang Lei · Xuanchi Ren · Zhaoxiang Zhang · Qifeng Chen	N/A	Code
RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension	Jiamu Sun · Gen Luo · Yiyi Zhou · Xiaoshuai Sun · Guannan Jiang · Zhiyu Wang · Rongrong Ji	N/A	Code
HNeRV: A Hybrid Neural Representation for Videos	Hao Chen · Matthew Gwilliam · Ser-Nam Lim · Abhinav Shrivastava	N/A	Code
Learning 3D-Aware Image Synthesis With Unknown Pose Distribution	Zifan Shi · Yujun Shen · Yinghao Xu · Sida Peng · Yiyi Liao · Sheng Guo · Qifeng Chen · Dit-Yan Yeung	N/A	Code
DynaFed: Tackling Client Data Heterogeneity With Global Dynamics	Renjie Pi · Weizhong Zhang · Yueqi Xie · Jiahui Gao · Xiaoyu Wang · Sunghun Kim · Qifeng Chen	N/A	Code
Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition	Jun Cen · Shiwei Zhang · Xiang Wang · Yixuan Pei · Zhiwu Qing · Yingya Zhang · Qifeng Chen	N/A	Code
RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion	Tengfei Wang · Bo Zhang · Ting Zhang · Shuyang Gu · Jianmin Bao · Tadas Baltrusaitis · Jingjing Shen · Dong Chen · Fang Wen · Qifeng Chen · Baining Guo	N/A	Code
IFSeg: Image-Free Semantic Segmentation via Vision-Language Model	Sukmin Yun · Seong Hyeon Park · Paul Hongsuck Seo · Jinwoo Shin	N/A	Code
Detecting Everything in the Open World: Towards Universal Object Detection	Zhenyu Wang · Yali Li · Xi Chen · Ser-Nam Lim · Antonio Torralba · Hengshuang Zhao · Shengjin Wang	N/A	Code
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations	Ziyan Yang · Kushal Kafle · Franck Dernoncourt · Vicente Ordonez	N/A	Code
Temporally Consistent Online Depth Estimation Using Point-Based Fusion	Numair Khan · Eric Penner · Douglas Lanman · Lei Xiao	N/A	Code
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions	Juze Zhang · Haimin Luo · Hongdi Yang · Xinru Xu · Qianyang Wu · Ye Shi · Jingyi Yu · Lan Xu · Jingya Wang	N/A	Code
Token Turing Machines	Michael S. Ryoo · Keerthana Gopalakrishnan · Kumara Kahatapitiya · Ted Xiao · Kanishka Rao · Austin Stone · Yao Lu · Julian Ibarz · Anurag Arnab	N/A	Code
Computationally Budgeted Continual Learning: What Does Matter?	Ameya Prabhu · Hasan Abed Al Kader Hammoud · Puneet K. Dokania · Philip H.S. Torr · Ser-Nam Lim · Bernard Ghanem · Adel Bibi	N/A	Code
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search	Fahad Shamshad · Muzammal Naseer · Karthik Nandakumar	N/A	Code
Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation From Image Sequence	Yang Tian · Jiyao Zhang · Zekai Yin · Hao Dong	N/A	Code
Affordances From Human Videos as a Versatile Representation for Robotics	Shikhar Bahl · Russell Mendonca · Lili Chen · Unnat Jain · Deepak Pathak	N/A	Code
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation	Yong Yang · Qiong Chen · Yuan Feng · Tianlin Huang	N/A	Code
Learning To Generate Image Embeddings With User-Level Differential Privacy	Zheng Xu · Maxwell Collins · Yuxiao Wang · Liviu Panait · Sewoong Oh · Sean Augenstein · Ting Liu · Florian Schroff · H. Brendan McMahan	N/A	Code
Genie: Show Me the Data for Quantization	Yongkweon Jeon · Chungman Lee · Ho-young Kim	N/A	Code
DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets	Haiyang Wang · Chen Shi · Shaoshuai Shi · Meng Lei · Sen Wang · Di He · Bernt Schiele · Liwei Wang	N/A	Code
Transformer-Based Learned Optimization	Erik Gärtner · Luke Metz · Mykhaylo Andriluka · C. Daniel Freeman · Cristian Sminchisescu	N/A	Code
Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data	Youssef Mansour · Reinhard Heckel	N/A	Code
Super-Resolution Neural Operator	Min Wei · Xuesong Zhang	N/A	Code
StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping	Diqiong Jiang · Dan Song · Ruofeng Tong · Min Tang	N/A	Code
Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization	Ji Li · Weixi Wang · Yuesong Nan · Hui Ji	N/A	Code
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization	Junyi Zhu · Xingchen Ma · Matthew B. Blaschko	N/A	Code
Human Pose As Compositional Tokens	Zigang Geng · Chunyu Wang · Yixuan Wei · Ze Liu · Houqiang Li · Han Hu	N/A	Code
GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training	Xiaoyu Tian · Haoxi Ran · Yue Wang · Hang Zhao	N/A	Code
RUST: Latent Neural Scene Representations From Unposed Imagery	Mehdi S. M. Sajjadi · Aravindh Mahendran · Thomas Kipf · Etienne Pot · Daniel Duckworth · Mario Lučić · Klaus Greff	N/A	Code
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation	Maan Qraitem · Kate Saenko · Bryan A. Plummer	N/A	Code
V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting	Haibao Yu · Wenxian Yang · Hongzhi Ruan · Zhenwei Yang · Yingjuan Tang · Xu Gao · Xin Hao · Yifeng Shi · Yifeng Pan · Ning Sun · Juan Song · Jirui Yuan · Ping Luo · Zaiqing Nie	N/A	Code
Conditional Image-to-Video Generation With Latent Flow Diffusion Models	Haomiao Ni · Changhao Shi · Kai Li · Sharon X. Huang · Martin Renqiang Min	N/A	Code
Anchor3DLane: Learning To Regress 3D Anchors for Monocular 3D Lane Detection	Shaofei Huang · Zhenwei Shen · Zehao Huang · Zi-han Ding · Jiao Dai · Jizhong Han · Naiyan Wang · Si Liu	N/A	Code
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds	Aoran Xiao · Jiaxing Huang · Weihao Xuan · Ruijie Ren · Kangcheng Liu · Dayan Guan · Abdulmotaleb El Saddik · Shijian Lu · Eric P. Xing	N/A	Code
NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action	Kuan-Chieh Wang · Zhenzhen Weng · Maria Xenochristou · João Pedro Araújo · Jeffrey Gu · Karen Liu · Serena Yeung	N/A	Code
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning	Xiaocheng Lu · Song Guo · Ziming Liu · Jingcai Guo	N/A	Code
iDisc: Internal Discretization for Monocular Depth Estimation	Luigi Piccinelli · Christos Sakaridis · Fisher Yu	N/A	Code
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy	Yinzhen Xu · Weikang Wan · Jialiang Zhang · Haoran Liu · Zikang Shan · Hao Shen · Ruicheng Wang · Haoran Geng · Yijia Weng · Jiayi Chen · Tengyu Liu · Li Yi · He Wang	N/A	Code
PolyFormer: Referring Image Segmentation As Sequential Polygon Generation	Jiang Liu · Hui Ding · Zhaowei Cai · Yuting Zhang · Ravi Kumar Satzoda · Vijay Mahadevan · R. Manmatha	N/A	Code
Interactive Segmentation of Radiance Fields	Rahul Goel · Dhawal Sirikonda · Saurabh Saini · P. J. Narayanan	N/A	Code
PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees	Jinghuai Zhang · Jinyuan Jia · Hongbin Liu · Neil Zhenqiang Gong	N/A	Code
Indiscernible Object Counting in Underwater Scenes	Guolei Sun · Zhaochong An · Yun Liu · Ce Liu · Christos Sakaridis · Deng-Ping Fan · Luc Van Gool	N/A	Code
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions	Yong Guo · David Stutz · Bernt Schiele	N/A	Code
Real-Time Multi-Person Eyeblink Detection in the Wild for Untrimmed Video	Wenzheng Zeng · Yang Xiao · Sicheng Wei · Jinfang Gan · Xintao Zhang · Zhiguo Cao · Zhiwen Fang · Joey Tianyi Zhou	N/A	Code
BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points	Ruihao Wang · Jian Qin · Kaiying Li · Yaochen Li · Dong Cao · Jintao Xu	N/A	Code
Infinite Photorealistic Worlds Using Procedural Generation	Alexander Raistrick · Lahav Lipson · Zeyu Ma · Lingjie Mei · Mingzhe Wang · Yiming Zuo · Karhan Kayan · Hongyu Wen · Beining Han · Yihan Wang · Alejandro Newell · Hei Law · Ankit Goyal · Kaiyu Yang · Jia Deng	N/A	Code
High-Fidelity 3D Human Digitization From Single 2K Resolution Images	Sang-Hun Han · Min-Gyu Park · Ju Hong Yoon · Ju-Mi Kang · Young-Jae Park · Hae-Gon Jeon	N/A	Code
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis	Ming Tao · Bing-Kun Bao · Hao Tang · Changsheng Xu	N/A	Code
Language-Guided Audio-Visual Source Separation via Trimodal Consistency	Reuben Tan · Arijit Ray · Andrea Burns · Bryan A. Plummer · Justin Salamon · Oriol Nieto · Bryan Russell · Kate Saenko	N/A	Code
Probabilistic Debiasing of Scene Graphs	Bashirul Azam Biswas · Qiang Ji	N/A	Code
PVO: Panoptic Visual Odometry	Weicai Ye · Xinyue Lan · Shuo Chen · Yuhang Ming · Xingyuan Yu · Hujun Bao · Zhaopeng Cui · Guofeng Zhang	N/A	Code
Superclass Learning With Representation Enhancement	Zeyu Gan · Suyun Zhao · Jinlong Kang · Liyuan Shang · Hong Chen · Cuiping Li	N/A	Code
GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts	Haoran Geng · Helin Xu · Chengyang Zhao · Chao Xu · Li Yi · Siyuan Huang · He Wang	N/A	Code
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation	Liyan Chen · Weihan Wang · Philippos Mordohai	N/A	Code
Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations	Thomas Tanay · Aleš Leonardis · Matteo Maggioni	N/A	Code
Large-Capacity and Flexible Video Steganography via Invertible Neural Network	Chong Mou · Youmin Xu · Jiechong Song · Chen Zhao · Bernard Ghanem · Jian Zhang	N/A	Code
Generating Part-Aware Editable 3D Shapes Without 3D Supervision	Konstantinos Tertikas · Despoina Paschalidou · Boxiao Pan · Jeong Joon Park · Mikaela Angelina Uy · Ioannis Emiris · Yannis Avrithis · Leonidas Guibas	N/A	Code
Vision Transformer With Super Token Sampling	Huaibo Huang · Xiaoqiang Zhou · Jie Cao · Ran He · Tieniu Tan	N/A	Code
Renderable Neural Radiance Map for Visual Navigation	Obin Kwon · Jeongho Park · Songhwai Oh	N/A	Code
Learning Compact Representations for LiDAR Completion and Generation	Yuwen Xiong · Wei-Chiu Ma · Jingkang Wang · Raquel Urtasun	N/A	Code
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation	Fabio Cermelli · Matthieu Cord · Arthur Douillard	N/A	Code
A Bag-of-Prototypes Representation for Dataset-Level Applications	Weijie Tu · Weijian Deng · Tom Gedeon · Liang Zheng	N/A	Code
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training	Yuting He · Guanyu Yang · Rongjun Ge · Yang Chen · Jean-Louis Coatrieux · Boyu Wang · Shuo Li	N/A	Code
Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network	Zhicheng Zhang · Lijuan Wang · Jufeng Yang	N/A	Code
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning	James Seale Smith · Leonid Karlinsky · Vyshnavi Gutta · Paola Cascante-Bonilla · Donghyun Kim · Assaf Arbelle · Rameswar Panda · Rogerio Feris · Zsolt Kira	N/A	Code
CodeTalker: Speech-Driven 3D Facial Animation With Discrete Motion Prior	Jinbo Xing · Menghan Xia · Yuechen Zhang · Xiaodong Cun · Jue Wang · Tien-Tsin Wong	N/A	Code
VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction	Yufan Ren · Fangjinhua Wang · Tong Zhang · Marc Pollefeys · Sabine Süsstrunk	N/A	Code
NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation	Haoqian Wu · Keyu Chen · Haozhe Liu · Mingchen Zhuge · Bing Li · Ruizhi Qiao · Xiujun Shu · Bei Gan · Liangsheng Xu · Bo Ren · Mengmeng Xu · Wentian Zhang · Raghavendra Ramachandra · Chia-Wen Lin · Bernard Ghanem	N/A	Code
Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization	Yuechen Zhang · Zexin He · Jinbo Xing · Xufeng Yao · Jiaya Jia	N/A	Code
GANmouflage: 3D Object Nondetection With Texture Fields	Rui Guo · Jasmine Collins · Oscar de Lima · Andrew Owens	N/A	Code
GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning	Zhenyu Xie · Zaiyu Huang · Xin Dong · Fuwei Zhao · Haoye Dong · Xijin Zhang · Feida Zhu · Xiaodan Liang	N/A	Code
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection	Xuan Zhang · Shiyu Li · Xi Li · Ping Huang · Jiulong Shan · Ting Chen	N/A	Code
Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images	Xindi Wu · KwunFung Lau · Francesco Ferroni · Aljoša Ošep · Deva Ramanan	N/A	Code
Beyond mAP: Towards Better Evaluation of Instance Segmentation	Rohit Jena · Lukas Zhornyak · Nehal Doiphode · Pratik Chaudhari · Vivek Buch · James Gee · Jianbo Shi	N/A	Code
Federated Learning With Data-Agnostic Distribution Fusion	Jian-hui Duan · Wenzhong Li · Derun Zou · Ruichen Li · Sanglu Lu	N/A	Code
Make-a-Story: Visual Memory Conditioned Consistent Story Generation	Tanzila Rahman · Hsin-Ying Lee · Jian Ren · Sergey Tulyakov · Shweta Mahajan · Leonid Sigal	N/A	Code
Scalable, Detailed and Mask-Free Universal Photometric Stereo	Satoshi Ikehata	N/A	Code
ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling	Xinglin Li · Jiajing Chen · Jinhui Ouyang · Hanhui Deng · Senem Velipasalar · Di Wu	N/A	Code
Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields	Yue Chen · Xingyu Chen · Xuan Wang · Qi Zhang · Yu Guo · Ying Shan · Fei Wang	N/A	Code
UV Volumes for Real-Time Rendering of Editable Free-View Human Performance	Yue Chen · Xuan Wang · Xingyu Chen · Qi Zhang · Xiaoyu Li · Yu Guo · Jue Wang · Fei Wang	N/A	Code
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries	Ahmed Imtiaz Humayun · Randall Balestriero · Guha Balakrishnan · Richard G. Baraniuk	N/A	Code
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble	Chun-Han Yao · Wei-Chih Hung · Yuanzhen Li · Michael Rubinstein · Ming-Hsuan Yang · Varun Jampani	N/A	Code
VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos	Huiyu Gao · Wei Mao · Miaomiao Liu	N/A	Code
Unsupervised Volumetric Animation	Aliaksandr Siarohin · Willi Menapace · Ivan Skorokhodov · Kyle Olszewski · Jian Ren · Hsin-Ying Lee · Menglei Chai · Sergey Tulyakov	N/A	Code
DKM: Dense Kernelized Feature Matching for Geometry Estimation	Johan Edstedt · Ioannis Athanasiadis · Mårten Wadenbäck · Michael Felsberg	N/A	Code
All in One: Exploring Unified Video-Language Pre-Training	Jinpeng Wang · Yixiao Ge · Rui Yan · Yuying Ge · Kevin Qinghong Lin · Satoshi Tsutsui · Xudong Lin · Guanyu Cai · Jianping Wu · Ying Shan · Xiaohu Qie · Mike Zheng Shou	N/A	Code
Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild	Yanhao Wu · Tong Zhang · Wei Ke · Sabine Süsstrunk · Mathieu Salzmann	N/A	Code
DynIBaR: Neural Dynamic Image-Based Rendering	Zhengqi Li · Qianqian Wang · Forrester Cole · Richard Tucker · Noah Snavely	N/A	Code
Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container	Jinguang Tong · Sundaram Muthu · Fahira Afzal Maken · Chuong Nguyen · Hongdong Li	N/A	Code
JAWS: Just a Wild Shot for Cinematic Transfer in Neural Radiance Fields	Xi Wang · Robin Courant · Jinglei Shi · Eric Marchand · Marc Christie	N/A	Code
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes	Harshil Bhatia · Edith Tretschk · Zorah Lähner · Marcel Seelbach Benkner · Michael Moeller · Christian Theobalt · Vladislav Golyanik	N/A	Code
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations	Joy Hsu · Jiayuan Mao · Jiajun Wu	N/A	Code
TempSAL – Uncovering Temporal Information for Deep Saliency Prediction	Bahar Aydemir · Ludo Hoffstetter · Tong Zhang · Mathieu Salzmann · Sabine Süsstrunk	N/A	Code
BiasBed – Rigorous Texture Bias Evaluation	Nikolai Kalischek · Rodrigo Caye Daudt · Torben Peters · Reinhard Furrer · Jan D. Wegner · Konrad Schindler	N/A	Code
Real-Time Neural Light Field on Mobile Devices	Junli Cao · Huan Wang · Pavlo Chemerys · Vladislav Shakhrai · Ju Hu · Yun Fu · Denys Makoviichuk · Sergey Tulyakov · Jian Ren	N/A	Code
Where Is My Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization	Mengmeng Xu · Yanghao Li · Cheng-Yang Fu · Bernard Ghanem · Tao Xiang · Juan-Manuel Pérez-Rúa	N/A	Code
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing	Zheng Ding · Xuaner Zhang · Zhihao Xia · Lars Jebe · Zhuowen Tu · Xiuming Zhang	N/A	Code
Neural Scene Chronology	Haotong Lin · Qianqian Wang · Ruojin Cai · Sida Peng · Hadar Averbuch-Elor · Xiaowei Zhou · Noah Snavely	N/A	Code
Diversity-Aware Meta Visual Prompting	Qidong Huang · Xiaoyi Dong · Dongdong Chen · Weiming Zhang · Feifei Wang · Gang Hua · Nenghai Yu	N/A	Code
Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses	Kunal Chelani · Torsten Sattler · Fredrik Kahl · Zuzana Kukelova	N/A	Code
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers	Bin Ren · Yahui Liu · Yue Song · Wei Bi · Rita Cucchiara · Nicu Sebe · Wei Wang	N/A	Code
Box-Level Active Detection	Mengyao Lyu · Jundong Zhou · Hui Chen · Yijie Huang · Dongdong Yu · Yaqian Li · Yandong Guo · Yuchen Guo · Liuyu Xiang · Guiguang Ding	N/A	Code
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples	Jiaming Zhang · Xingjun Ma · Qi Yi · Jitao Sang · Yu-Gang Jiang · Yaowei Wang · Changsheng Xu	N/A	Code
Generalized Relation Modeling for Transformer Tracking	Shenyuan Gao · Chunluan Zhou · Jun Zhang	N/A	Code
Mofusion: A Framework for Denoising-Diffusion-Based Motion Synthesis	Rishabh Dabral · Muhammad Hamza Mughal · Vladislav Golyanik · Christian Theobalt	N/A	Code
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective	Jinjing Zhu · Haotian Bai · Lin Wang	N/A	Code
Distilling Neural Fields for Real-Time Articulated Shape Reconstruction	Jeff Tan · Gengshan Yang · Deva Ramanan	N/A	Code
Sampling Is Matter: Point-Guided 3D Human Mesh Reconstruction	Jeonghwan Kim · Mi-Gyeong Gwon · Hyunwoo Park · Hyukmin Kwon · Gi-Mun Um · Wonjun Kim	N/A	Code
Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding	Haoxuan Che · Siyu Chen · Hao Chen	N/A	Code
Towards Practical Plug-and-Play Diffusion Models	Hyojun Go · Yunsung Lee · Jin-Young Kim · Seunghyun Lee · Myeongho Jeong · Hyun Seung Lee · Seungtaek Choi	N/A	Code
HRDFuse: Monocular 360° Depth Estimation by Collaboratively Learning Holistic-With-Regional Depth Distributions	Hao Ai · Zidong Cao · Yan-Pei Cao · Ying Shan · Lin Wang	N/A	Code
KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation	Xiangyang Li · Zihan Wang · Jiahao Yang · Yaowei Wang · Shuqiang Jiang	N/A	Code
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction	Yuanhui Huang · Wenzhao Zheng · Yunpeng Zhang · Jie Zhou · Jiwen Lu	N/A	Code
EventNeRF: Neural Radiance Fields From a Single Colour Event Camera	Viktor Rudnev · Mohamed Elgharib · Christian Theobalt · Vladislav Golyanik	N/A	Code
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling	Zhanhao Hu · Wenda Chu · Xiaopei Zhu · Hui Zhang · Bo Zhang · Xiaolin Hu	N/A	Code
Global Vision Transformer Pruning With Hessian-Aware Saliency	Huanrui Yang · Hongxu Yin · Maying Shen · Pavlo Molchanov · Hai Li · Jan Kautz	N/A	Code
3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention	Zhenhua Tang · Zhaofan Qiu · Yanbin Hao · Richang Hong · Ting Yao	N/A	Code
Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution	Yunfan Lu · Zipeng Wang · Minjie Liu · Hongjian Wang · Lin Wang	N/A	Code
StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer	Sasikarn Khwanmuang · Pakkapon Phongthawee · Patsorn Sangkloy · Supasorn Suwajanakorn	N/A	Code
ShapeClipper: Scalable 3D Shape Learning From Single-View Images via Geometric and CLIP-Based Consistency	Zixuan Huang · Varun Jampani · Anh Thai · Yuanzhen Li · Stefan Stojanov · James M. Rehg	N/A	Code
Efficient Scale-Invariant Generator With Column-Row Entangled Pixel Synthesis	Thuan Hoang Nguyen · Thanh Van Le · Anh Tran	N/A	Code
Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization	Chunghwan Lee · Jaihoon Kim · Chanhyuk Yun · Je Hyeong Hong	N/A	Code
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation	Xu Zheng · Jinjing Zhu · Yexin Liu · Zidong Cao · Chong Fu · Lin Wang	N/A	Code
Adaptive Human Matting for Dynamic Videos	Chung-Ching Lin · Jiang Wang · Kun Luo · Kevin Lin · Linjie Li · Lijuan Wang · Zicheng Liu	N/A	Code
High-Fidelity Facial Avatar Reconstruction From Monocular Video With Generative Priors	Yunpeng Bai · Yanbo Fan · Xuan Wang · Yong Zhang · Jingxiang Sun · Chun Yuan · Ying Shan	N/A	Code
Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint	Shikang Yu · Jiachen Chen · Hu Han · Shuqiang Jiang	N/A	Code
Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes	Jihyun Lee · Minhyuk Sung · Honggyu Choi · Tae-Kyun Kim	N/A	Code
MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos	Zicheng Zhang · Wei Wu · Wei Sun · Danyang Tu · Wei Lu · Xiongkuo Min · Ying Chen · Guangtao Zhai	N/A	Code
Make Landscape Flatter in Differentially Private Federated Learning	Yifan Shi · Yingqi Liu · Kang Wei · Li Shen · Xueqian Wang · Dacheng Tao	N/A	Code
A Large-Scale Robustness Analysis of Video Action Recognition Models	Madeline Chantry Schiappa · Naman Biyani · Prudvi Kamtam · Shruti Vyas · Hamid Palangi · Vibhav Vineet · Yogesh S. Rawat	N/A	Code
Multi-Concept Customization of Text-to-Image Diffusion	Nupur Kumari · Bingliang Zhang · Richard Zhang · Eli Shechtman · Jun-Yan Zhu	N/A	Code
GANHead: Towards Generative Animatable Neural Head Avatars	Sijing Wu · Yichao Yan · Yunhao Li · Yuhao Cheng · Wenhan Zhu · Ke Gao · Xiaobo Li · Guangtao Zhai	N/A	Code
Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition	Xinghan Wang · Xin Xu · Yadong Mu	N/A	Code
Hierarchical B-Frame Video Coding Using Two-Layer CANF Without Motion Coding	David Alexandre · Hsueh-Ming Hang · Wen-Hsiao Peng	N/A	Code
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER	Ce Zheng · Matias Mendieta · Taojiannan Yang · Guo-Jun Qi · Chen Chen	N/A	Code
Delivering Arbitrary-Modal Semantic Segmentation	Jiaming Zhang · Ruiping Liu · Hao Shi · Kailun Yang · Simon Reiß · Kunyu Peng · Haodong Fu · Kaiwei Wang · Rainer Stiefelhagen	N/A	Code
Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration	Zheng Qin · Hao Yu · Changjian Wang · Yuxing Peng · Kai Xu	N/A	Code
HumanGen: Generating Human Radiance Fields With Explicit Priors	Suyi Jiang · Haoran Jiang · Ziyu Wang · Haimin Luo · Wenzheng Chen · Lan Xu	N/A	Code
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation	Bo Huang · Mingyang Chen · Yi Wang · Junda Lu · Minhao Cheng · Wei Wang	N/A	Code
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation	Narek Tumanyan · Michal Geyer · Shai Bagon · Tali Dekel	N/A	Code
Rotation-Invariant Transformer for Point Cloud Matching	Hao Yu · Zheng Qin · Ji Hou · Saleh · Dongsheng Li · Benjamin Busam · Slobodan Ilic	N/A	Code
CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP	Runnan Chen · Youquan Liu · Lingdong Kong · Xinge Zhu · Yuexin Ma · Yikang Li · Yuenan Hou · Yu Qiao · Wenping Wang	N/A	Code
Real-Time 6K Image Rescaling With Rate-Distortion Optimization	Chenyang Qi · Xin Yang · Ka Leong Cheng · Ying-Cong Chen · Qifeng Chen	N/A	Code
Focused and Collaborative Feedback Integration for Interactive Image Segmentation	Qiaoqiao Wei · Hui Zhang · Jun-Hai Yong	N/A	Code
Language-Guided Music Recommendation for Video via Prompt Analogies	Daniel McKee · Justin Salamon · Josef Sivic · Bryan Russell	N/A	Code
TarViS: A Unified Approach for Target-Based Video Segmentation	Ali Athar · Alexander Hermans · Jonathon Luiten · Deva Ramanan · Bastian Leibe	N/A	Code
Meta-Personalizing Vision-Language Models To Find Named Instances in Video	Chun-Hsiao Yeh · Bryan Russell · Josef Sivic · Fabian Caba Heilbron · Simon Jenni	N/A	Code
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data	Haojie Zhao · Junsong Chen · Lijun Wang · Huchuan Lu	N/A	Code
Scaling Language-Image Pre-Training via Masking	Yanghao Li · Haoqi Fan · Ronghang Hu · Christoph Feichtenhofer · Kaiming He	N/A	Code
SeqTrack: Sequence to Sequence Learning for Visual Object Tracking	Xin Chen · Houwen Peng · Dong Wang · Huchuan Lu · Han Hu	N/A	Code
Learning Neural Parametric Head Models	Simon Giebenhain · Tobias Kirschstein · Markos Georgopoulos · Martin Rünz · Lourdes Agapito · Matthias Nießner	N/A	Code
L-CoIns: Language-Based Colorization With Instance Awareness	Zheng Chang · Shuchen Weng · Peixuan Zhang · Yu Li · Si Li · Boxin Shi	N/A	Code
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning	Antoine Yang · Arsha Nagrani · Paul Hongsuck Seo · Antoine Miech · Jordi Pont-Tuset · Ivan Laptev · Josef Sivic · Cordelia Schmid	N/A	Code
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding	Le Xue · Mingfei Gao · Chen Xing · Roberto Martín-Martín · Jiajun Wu · Caiming Xiong · Ran Xu · Juan Carlos Niebles · Silvio Savarese	N/A	Code
GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images	Jianchuan Chen · Wentao Yi · Liqian Ma · Xu Jia · Huchuan Lu	N/A	Code
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation	Lukas Hoyer · Dengxin Dai · Haoran Wang · Luc Van Gool	N/A	Code
MED-VT: Multiscale Encoder-Decoder Video Transformer With Application To Object Segmentation	Rezaul Karim · He Zhao · Richard P. Wildes · Mennatullah Siam	N/A	Code
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation	Bohao Peng · Zhuotao Tian · Xiaoyang Wu · Chengyao Wang · Shu Liu · Jingyong Su · Jiaya Jia	N/A	Code
Universal Instance Perception As Object Discovery and Retrieval	Bin Yan · Yi Jiang · Jiannan Wu · Dong Wang · Ping Luo · Zehuan Yuan · Huchuan Lu	N/A	Code
Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning	Zhicai Wang · Yanbin Hao · Tingting Mu · Ouxiang Li · Shuo Wang · Xiangnan He	N/A	Code
Open-Vocabulary Semantic Segmentation With Mask-Adapted CLIP	Feng Liang · Bichen Wu · Xiaoliang Dai · Kunpeng Li · Yinan Zhao · Hang Zhang · Peizhao Zhang · Peter Vajda · Diana Marculescu	N/A	Code
ImageBind: One Embedding Space To Bind Them All	Rohit Girdhar · Alaaeldin El-Nouby · Zhuang Liu · Mannat Singh · Kalyan Vasudev Alwala · Armand Joulin · Ishan Misra	N/A	Code
Learning and Aggregating Lane Graphs for Urban Automated Driving	Martin Büchner · Jannik Zürn · Ion-George Todoran · Abhinav Valada · Wolfram Burgard	N/A	Code
High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain Activity	Yu Takagi · Shinji Nishimoto	N/A	Code
3D Cinemagraphy From a Single Image	Xingyi Li · Zhiguo Cao · Huiqiang Sun · Jianming Zhang · Ke Xian · Guosheng Lin	N/A	Code
Understanding and Improving Visual Prompting: A Label-Mapping Perspective	Aochuan Chen · Yuguang Yao · Pin-Yu Chen · Yihua Zhang · Sijia Liu	N/A	Code
Cut and Learn for Unsupervised Object Detection and Instance Segmentation	Xudong Wang · Rohit Girdhar · Stella X. Yu · Ishan Misra	N/A	Code
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset	Kartik Narayan · Harsh Agarwal · Kartik Thakral · Surbhi Mittal · Mayank Vatsa · Richa Singh	N/A	Code
BASiS: Batch Aligned Spectral Embedding Space	Or Streicher · Ido Cohen · Guy Gilboa	N/A	Code
Annealing-Based Label-Transfer Learning for Open World Object Detection	Yuqing Ma · Hainan Li · Zhange Zhang · Jinyang Guo · Shanghang Zhang · Ruihao Gong · Xianglong Liu	N/A	Code
Behind the Scenes: Density Fields for Single View Reconstruction	Felix Wimbauer · Nan Yang · Christian Rupprecht · Daniel Cremers	N/A	Code
Learning Video Representations From Large Language Models	Yue Zhao · Ishan Misra · Philipp Krähenbühl · Rohit Girdhar	N/A	Code
Quantum Multi-Model Fitting	Matteo Farina · Luca Magri · Willi Menapace · Elisa Ricci · Vladislav Golyanik · Federica Arrigoni	N/A	Code
Power Bundle Adjustment for Large-Scale 3D Reconstruction	Simon Weber · Nikolaus Demmel · Tin Chon Chan · Daniel Cremers	N/A	Code
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing	Jiechong Song · Chong Mou · Shiqi Wang · Siwei Ma · Jian Zhang	N/A	Code
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization	Shitao Tang · Sicong Tang · Andrea Tagliasacchi · Ping Tan · Yasutaka Furukawa	N/A	Code
Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption	Jin Gao · Jialing Zhang · Xihui Liu · Trevor Darrell · Evan Shelhamer · Dequan Wang	N/A	Code
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis	Ziyu Wan · Christian Richardt · Aljaž Božič · Chao Li · Vijay Rengarajan · Seonghyeon Nam · Xiaoyu Xiang · Tuotuo Li · Bo Zhu · Rakesh Ranjan · Jing Liao	N/A	Code
Object Pop-Up: Can We Infer 3D Objects and Their Poses From Human Interactions Alone?	Ilya A. Petrov · Riccardo Marin · Julian Chibane · Gerard Pons-Moll	N/A	Code
G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors	Marvin Eisenberger · Aysim Toker · Laura Leal-Taixé · Daniel Cremers	N/A	Code
Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision	María Leyva-Vallina · Nicola Strisciuglio · Nicolai Petkov	N/A	Code
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision	Xinyi Ying · Li Liu · Yingqian Wang · Ruojing Li · Nuo Chen · Zaiping Lin · Weidong Sheng · Shilin Zhou	N/A	Code
Instant Domain Augmentation for LiDAR Semantic Segmentation	Kwonyoung Ryu · Soonmin Hwang · Jaesik Park	N/A	Code
R2Former: Unified Retrieval and Reranking Transformer for Place Recognition	Sijie Zhu · Linjie Yang · Chen Chen · Mubarak Shah · Xiaohui Shen · Heng Wang	N/A	Code
Detecting and Grounding Multi-Modal Media Manipulation	Rui Shao · Tianxing Wu · Ziwei Liu	N/A	Code
Detecting Backdoors in Pre-Trained Encoders	Shiwei Feng · Guanhong Tao · Siyuan Cheng · Guangyu Shen · Xiangzhe Xu · Yingqi Liu · Kaiyuan Zhang · Shiqing Ma · Xiangyu Zhang	N/A	Code
Scaling Up GANs for Text-to-Image Synthesis	Minguk Kang · Jun-Yan Zhu · Richard Zhang · Jaesik Park · Eli Shechtman · Sylvain Paris · Taesung Park	N/A	Code
Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline	Tiantian Geng · Teng Wang · Jinming Duan · Runmin Cong · Feng Zheng	N/A	Code
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°	Sizhe An · Hongyi Xu · Yichun Shi · Guoxian Song · Umit Y. Ogras · Linjie Luo	N/A	Code
Modality-Invariant Visual Odometry for Embodied Vision	Marius Memmel · Roman Bachmann · Amir Zamir	N/A	Code
3D Video Loops From Asynchronous Input	Li Ma · Xiaoyu Li · Jing Liao · Pedro V. Sander	N/A	Code
Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes	Xuan Ju · Ailing Zeng · Jianan Wang · Qiang Xu · Lei Zhang	N/A	Code
PosterLayout: A New Benchmark and Approach for Content-Aware Visual-Textual Presentation Layout	Hsiao Yuan Hsu · Xiangteng He · Yuxin Peng · Hao Kong · Qing Zhang	N/A	Code
A Soma Segmentation Benchmark in Full Adult Fly Brain	Xiaoyu Liu · Bo Hu · Mingxing Li · Wei Huang · Yueyi Zhang · Zhiwei Xiong	N/A	Code
One-Stage 3D Whole-Body Mesh Recovery With Component Aware Transformer	Jing Lin · Ailing Zeng · Haoqian Wang · Lei Zhang · Yu Li	N/A	Code
Listening Human Behavior: 3D Human Pose Estimation With Acoustic Signals	Yuto Shibata · Yutaka Kawashima · Mariko Isogawa · Go Irie · Akisato Kimura · Yoshimitsu Aoki	N/A	Code
Hand Avatar: Free-Pose Hand Animation and Rendering From Monocular Video	Xingyu Chen · Baoyuan Wang · Heung-Yeung Shum	N/A	Code
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis	Hiuyi Cheng · Peirong Zhang · Sihang Wu · Jiaxin Zhang · Qiyuan Zhu · Zecheng Xie · Jing Li · Kai Ding · Lianwen Jin	N/A	Code
Neural Congealing: Aligning Images to a Joint Semantic Atlas	Dolev Ofri-Amar · Michal Geyer · Yoni Kasten · Tali Dekel	N/A	Code
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation	Tianheng Cheng · Xinggang Wang · Shaoyu Chen · Qian Zhang · Wenyu Liu	N/A	Code
BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion	Michael J. Black · Priyanka Patel · Joachim Tesch · Jinlong Yang	N/A	Code
Mask DINO: Towards a Unified Transformer-Based Framework for Object Detection and Segmentation	Feng Li · Hao Zhang · Huaizhe Xu · Shilong Liu · Lei Zhang · Lionel M. Ni · Heung-Yeung Shum	N/A	Code
Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis From Monocular Image	Yu Deng · Baoyuan Wang · Heung-Yeung Shum	N/A	Code
3DAvatarGAN: Bridging Domains for Personalized Editable Avatars	Rameen Abdal · Hsin-Ying Lee · Peihao Zhu · Menglei Chai · Aliaksandr Siarohin · Peter Wonka · Sergey Tulyakov	N/A	Code
FLEX: Full-Body Grasping Without Full-Body Grasps	Purva Tendulkar · Dídac Surís · Carl Vondrick	N/A	Code
UDE: A Unified Driving Engine for Human Motion Generation	Zixiang Zhou · Baoyuan Wang	N/A	Code
Video Test-Time Adaptation for Action Recognition	Wei Lin · Muhammad Jehanzeb Mirza · Mateusz Kozinski · Horst Possegger · Hilde Kuehne · Horst Bischof	N/A	Code
Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis	Duomin Wang · Yu Deng · Zixin Yin · Heung-Yeung Shum · Baoyuan Wang	N/A	Code
MIME: Human-Aware 3D Scene Generation	Hongwei Yi · Chun-Hao P. Huang · Shashank Tripathi · Lea Hering · Justus Thies · Michael J. Black	N/A	Code
AstroNet: When Astrocyte Meets Artificial Neural Network	Mengqiao Han · Liyuan Pan · Xiabi Liu	N/A	Code
Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction	Jianhua Sun · Yuxuan Li · Liang Chai · Cewu Lu	N/A	Code
ActMAD: Activation Matching To Align Distributions for Test-Time-Training	Muhammad Jehanzeb Mirza · Pol Jané Soneira · Wei Lin · Mateusz Kozinski · Horst Possegger · Horst Bischof	N/A	Code
Visual Prompt Multi-Modal Tracking	Jiawen Zhu · Simiao Lai · Xin Chen · Dong Wang · Huchuan Lu	N/A	Code
Reconstructing Signing Avatars From Video Using Linguistic Priors	Maria-Paola Forte · Peter Kulits · Chun-Hao P. Huang · Vasileios Choutas · Dimitrios Tzionas · Katherine J. Kuchenbecker · Michael J. Black	N/A	Code
Patch-Based 3D Natural Scene Generation From a Single Example	Weiyu Li · Xuelin Chen · Jue Wang · Baoquan Chen	N/A	Code
Re-Basin via Implicit Sinkhorn Differentiation	Fidel A. Guerrero Peña · Heitor Rapela Medeiros · Thomas Dubail · Masih Aminbeidokhti · Eric Granger · Marco Pedersoli	N/A	Code
Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention	Xuran Pan · Tianzhu Ye · Zhuofan Xia · Shiji Song · Gao Huang	N/A	Code
Planning-Oriented Autonomous Driving	Yihan Hu · Jiazhi Yang · Li Chen · Keyu Li · Chonghao Sima · Xizhou Zhu · Siqi Chai · Senyao Du · Tianwei Lin · Wenhai Wang · Lewei Lu · Xiaosong Jia · Qiang Liu · Jifeng Dai · Yu Qiao · Hongyang Li	N/A	Code
Enhancing Deformable Local Features by Jointly Learning To Detect and Describe Keypoints	Guilherme Potje · Felipe Cadar · André Araujo · Renato Martins · Erickson R. Nascimento	N/A	Code
3D Human Pose Estimation via Intuitive Physics	Shashank Tripathi · Lea Müller · Chun-Hao P. Huang · Omid Taheri · Michael J. Black · Dimitrios Tzionas	N/A	Code
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning	Ajinkya Tejankar · Maziar Sanjabi · Qifan Wang · Sinong Wang · Hamed Firooz · Hamed Pirsiavash · Liang Tan	N/A	Code
PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos	Zhiqiang Shen · Xiaoxiao Sheng · Longguang Wang · Yulan Guo · Qiong Liu · Xi Zhou	N/A	Code
Blowing in the Wind: CycleNet for Human Cinemagraphs From Still Images	Hugo Bertiche · Niloy J. Mitra · Kuldeep Kulkarni · Chun-Hao P. Huang · Tuanfeng Y. Wang · Meysam Madadi · Sergio Escalera · Duygu Ceylan	N/A	Code
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning	Kangning Liu · Weicheng Zhu · Yiqiu Shen · Sheng Liu · Narges Razavian · Krzysztof J. Geras · Carlos Fernandez-Granda	N/A	Code
Learning Steerable Function for Efficient Image Resampling	Jiacheng Li · Chang Chen · Wei Huang · Zhiqiang Lang · Fenglong Song · Youliang Yan · Zhiwei Xiong	N/A	Code
Deep Deterministic Uncertainty: A New Simple Baseline	Jishnu Mukhoti · Andreas Kirsch · Joost van Amersfoort · Philip H.S. Torr · Yarin Gal	N/A	Code
Removing Objects From Neural Radiance Fields	Silvan Weder · Guillermo Garcia-Hernando · Áron Monszpart · Marc Pollefeys · Gabriel J. Brostow · Michael Firman · Sara Vicente	N/A	Code
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations	Haoran Geng · Ziming Li · Yiran Geng · Jiayi Chen · Hao Dong · He Wang	N/A	Code
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection	Hao Huang · Ziyan Chen · Huanran Chen · Yongtao Wang · Kevin Zhang	N/A	Code
DINN360: Deformable Invertible Neural Network for Latitude-Aware 360° Image Rescaling	Yichen Guo · Mai Xu · Lai Jiang · Leonid Sigal · Yunjin Chen	N/A	Code
Learning Human-to-Robot Handovers From Point Clouds	Sammy Christen · Wei Yang · Claudia Pérez-D’Arpino · Otmar Hilliges · Dieter Fox · Yu-Wei Chao	N/A	Code
Multi-View Azimuth Stereo via Tangent Space Consistency	Xu Cao · Hiroaki Santo · Fumio Okura · Yasuyuki Matsushita	N/A	Code
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners	Zitian Chen · Yikang Shen · Mingyu Ding · Zhenfang Chen · Hengshuang Zhao · Erik G. Learned-Miller · Chuang Gan	N/A	Code
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction	Zerui Chen · Shizhe Chen · Cordelia Schmid · Ivan Laptev	N/A	Code
Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint	Hongyu Liu · Yibing Song · Qifeng Chen	N/A	Code
Generative Bias for Robust Visual Question Answering	Jae Won Cho · Dong-Jin Kim · Hyeonggon Ryu · In So Kweon	N/A	Code
Backdoor Defense via Deconfounded Representation Learning	Zaixi Zhang · Qi Liu · Zhicai Wang · Zepu Lu · Qingyong Hu	N/A	Code
High-Fidelity 3D GAN Inversion by Pseudo-Multi-View Optimization	Jiaxin Xie · Hao Ouyang · Jingtan Piao · Chenyang Lei · Qifeng Chen	N/A	Code
Affordance Diffusion: Synthesizing Hand-Object Interactions	Yufei Ye · Xueting Li · Abhinav Gupta · Shalini De Mello · Stan Birchfield · Jiaming Song · Shubham Tulsiani · Sifei Liu	N/A	Code
Zero-Shot Pose Transfer for Unrigged Stylized 3D Characters	Jiashun Wang · Xueting Li · Sifei Liu · Shalini De Mello · Orazio Gallo · Xiaolong Wang · Jan Kautz	N/A	Code
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting	Tarasha Khurana · Peiyun Hu · David Held · Deva Ramanan	N/A	Code
Are Data-Driven Explanations Robust Against Out-of-Distribution Data?	Tang Li · Fengchun Qiao · Mengmeng Ma · Xi Peng	N/A	Code
Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis	Kang Han · Wei Xiang	N/A	Code
Boosting Video Object Segmentation via Space-Time Correspondence Learning	Yurong Zhang · Liulei Li · Wenguan Wang · Rong Xie · Li Song · Wenjun Zhang	N/A	Code
X-Pruner: eXplainable Pruning for Vision Transformers	Lu Yu · Wei Xiang	N/A	Code
GazeNeRF: 3D-Aware Gaze Redirection With Neural Radiance Fields	Alessandro Ruzzi · Xiangwei Shi · Xi Wang · Gengyan Li · Shalini De Mello · Hyung Jin Chang · Xucong Zhang · Otmar Hilliges	N/A	Code
Real-Time Evaluation in Online Continual Learning: A New Hope	Yasir Ghunaim · Adel Bibi · Kumail Alhamoud · Motasem Alfarra · Hasan Abed Al Kader Hammoud · Ameya Prabhu · Philip H.S. Torr · Bernard Ghanem	N/A	Code
Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank	Shirui Huang · Keyan Wang · Huan Liu · Jun Chen · Yunsong Li	N/A	Code
A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories	Reza Akbarian Bafghi · Danna Gurari	N/A	Code
Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models	Jiarui Xu · Sifei Liu · Arash Vahdat · Wonmin Byeon · Xiaolong Wang · Shalini De Mello	N/A	Code
Reconstructing Animatable Categories From Videos	Gengshan Yang · Chaoyang Wang · N. Dinesh Reddy · Deva Ramanan	N/A	Code
Learning Visual Representations via Language-Guided Sampling	Mohamed El Banani · Karan Desai · Justin Johnson	N/A	Code
Four-View Geometry With Unknown Radial Distortion	Petr Hruby · Viktor Korotynskiy · Timothy Duff · Luke Oeding · Marc Pollefeys · Tomas Pajdla · Viktor Larsson	N/A	Code
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model	Gwanghyun Kim · Se Young Chun	N/A	Code
ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing	Zequn Zeng · Hao Zhang · Ruiying Lu · Dongsheng Wang · Bo Chen · Zhengjue Wang	N/A	Code
Feature Separation and Recalibration for Adversarial Robustness	Woo Jae Kim · Yoonki Cho · Junsik Jung · Sung-Eui Yoon	N/A	Code
Event-Based Blurry Frame Interpolation Under Blind Exposure	Wenming Weng · Yueyi Zhang · Zhiwei Xiong	N/A	Code
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures	Zhiqin Chen · Thomas Funkhouser · Peter Hedman · Andrea Tagliasacchi	N/A	Code
HandsOff: Labeled Dataset Generation With No Additional Human Annotations	Austin Xu · Mariya I. Vasileva · Achal Dave · Arjun Seshadri	N/A	Code
Analyzing and Diagnosing Pose Estimation With Attributions	Qiyuan He · Linlin Yang · Kerui Gu · Qiuxia Lin · Angela Yao	N/A	Code
Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction	Ziwei Yu · Chen Li · Linlin Yang · Xiaoxu Zheng · Michael Bi Mi · Gim Hee Lee · Angela Yao	N/A	Code
VIVE3D: Viewpoint-Independent Video Editing Using 3D-Aware GANs	Anna Frühstück · Nikolaos Sarafianos · Yuanlu Xu · Peter Wonka · Tony Tung	N/A	Code
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge	Changdi Yang · Pu Zhao · Yanyu Li · Wei Niu · Jiexiong Guan · Hao Tang · Minghai Qin · Bin Ren · Xue Lin · Yanzhi Wang	N/A	Code
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision	Xiaoshuai Zhang · Abhijit Kundu · Thomas Funkhouser · Leonidas Guibas · Hao Su · Kyle Genova	N/A	Code
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization	Bingfan Zhu · Yanchao Yang · Xulong Wang · Youyi Zheng · Leonidas Guibas	N/A	Code
OpenScene: 3D Scene Understanding With Open Vocabularies	Songyou Peng · Kyle Genova · Chiyu “Max” Jiang · Andrea Tagliasacchi · Marc Pollefeys · Thomas Funkhouser	N/A	Code
A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation	Hui Tang · Kui Jia	N/A	Code
Implicit View-Time Interpolation of Stereo Videos Using Multi-Plane Disparities and Non-Uniform Coordinates	Avinash Paliwal · Andrii Tsarov · Nima Khademi Kalantari	N/A	Code
A Large-Scale Homography Benchmark	Daniel Barath · Dmytro Mishkin · Michal Polic · Wolfgang Förstner · Jiri Matas	N/A	Code
Glocal Energy-Based Learning for Few-Shot Open-Set Recognition	Haoyu Wang · Guansong Pang · Peng Wang · Lei Zhang · Wei Wei · Yanning Zhang	N/A	Code
MEDIC: Remove Model Backdoors via Importance Driven Cloning	Qiuling Xu · Guanhong Tao · Jean Honorio · Yingqi Liu · Shengwei An · Guangyu Shen · Siyuan Cheng · Xiangyu Zhang	N/A	Code
Finding Geometric Models by Clustering in the Consensus Space	Daniel Barath · Denys Rozumnyi · Ivan Eichhardt · Levente Hajder · Jiri Matas	N/A	Code
Imagic: Text-Based Real Image Editing With Diffusion Models	Bahjat Kawar · Shiran Zada · Oran Lang · Omer Tov · Huiwen Chang · Tali Dekel · Inbar Mosseri · Michal Irani	N/A	Code
DeepLSD: Line Segment Detection and Refinement With Deep Image Gradients	Rémi Pautrat · Daniel Barath · Viktor Larsson · Martin R. Oswald · Marc Pollefeys	N/A	Code
H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction	Hao Xu · Tianyu Wang · Xiao Tang · Chi-Wing Fu	N/A	Code
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions	Yurui Zhu · Tianyu Wang · Xueyang Fu · Xuanyu Yang · Xin Guo · Jifeng Dai · Yu Qiao · Xiaowei Hu	N/A	Code
MoDi: Unconditional Motion Synthesis From Diverse Data	Sigal Raab · Inbal Leibovitch · Peizhuo Li · Kfir Aberman · Olga Sorkine-Hornung · Daniel Cohen-Or	N/A	Code
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction	Luke Melas-Kyriazi · Christian Rupprecht · Andrea Vedaldi	N/A	Code
SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation	Zimin Xia · Zimin Xia · Ted Lentsch · Julian F. P. Kooij	N/A	Code
RealFusion: 360° Reconstruction of Any Object From a Single Image	Luke Melas-Kyriazi · Iro Laina · Christian Rupprecht · Andrea Vedaldi	N/A	Code
Masked and Adaptive Transformer for Exemplar Based Image Translation	Chang Jiang · Fei Gao · Biao Ma · Yuhao Lin · Nannan Wang · Gang Xu	N/A	Code
DynamicStereo: Consistent Dynamic Depth From Stereo Videos	Nikita Karaev · Ignacio Rocco · Benjamin Graham · Natalia Neverova · Andrea Vedaldi · Christian Rupprecht	N/A	Code
Masked Representation Learning for Domain Generalized Stereo Matching	Zhibo Rao · Bangshu Xiong · Mingyi He · Mochu Xiang · Renjie He · Zhelun Shen · Xing Li	N/A	Code
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training	Runsen Xu · Tai Wang · Wenwei Zhang · Runjian Chen · Jinkun Cao · Jiangmiao Pang · Dahua Lin	N/A	Code
Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection	Tomoki Ichikawa · Yoshiki Fukao · Shohei Nobuhara · Ko Nishino	N/A	Code
Instant Multi-View Head Capture Through Learnable Registration	Timo Bolkart · Tianye Li · Michael J. Black	N/A	Code
POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo	Lixin Yang · Jian Xu · Licheng Zhong · Xinyu Zhan · Zhicheng Wang · Kejian Wu · Cewu Lu	N/A	Code
Diffusion-Based Generation, Optimization, and Planning in 3D Scenes	Siyuan Huang · Zan Wang · Puhao Li · Baoxiong Jia · Tengyu Liu · Yixin Zhu · Wei Liang · Song-Chun Zhu	N/A	Code
Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark	Muyao Niu · Zhuoxiao Li · Zhihang Zhong · Yinqiang Zheng	N/A	Code
SketchXAI: A First Look at Explainability for Human Sketches	Zhiyu Qu · Yulia Gryaditskaya · Ke Li · Kaiyue Pang · Tao Xiang · Yi-Zhe Song	N/A	Code
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation	Taeyeop Lee · Jonathan Tremblay · Valts Blukis · Bowen Wen · Byeong-Uk Lee · Inkyu Shin · Stan Birchfield · In So Kweon · Kuk-Jin Yoon	N/A	Code
Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction	Ryo Kawahara · Meng-Yu Jennifer Kuo · Shohei Nobuhara	N/A	Code
Reliability in Semantic Segmentation: Are We on the Right Track?	Pau de Jorge · Riccardo Volpi · Philip H.S. Torr · Grégory Rogez	N/A	Code
SMPConv: Self-Moving Point Representations for Continuous Convolution	Sanghyeon Kim · Eunbyung Park	N/A	Code
Few-Shot Geometry-Aware Keypoint Localization	Xingzhe He · Gaurav Bharaj · David Ferman · Helge Rhodin · Pablo Garrido	N/A	Code
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition	Xiaoyu Zhu · Po-Yao Huang · Junwei Liang · Celso M. de Melo · Alexander G. Hauptmann	N/A	Code
Knowledge Combination To Learn Rotated Detection Without Rotated Annotation	Tianyu Zhu · Bryce Ferenczi · Pulak Purkait · Tom Drummond · Hamid Rezatofighi · Anton van den Hengel	N/A	Code
OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering	Zhiyuan Ma · Xiangyu Zhu · Guo-Jun Qi · Zhen Lei · Lei Zhang	N/A	Code
Supervised Masked Knowledge Distillation for Few-Shot Transformers	Han Lin · Guangxing Han · Jiawei Ma · Shiyuan Huang · Xudong Lin · Shih-Fu Chang	N/A	Code
Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision	Jilan Xu · Junlin Hou · Yuejie Zhang · Rui Feng · Yi Wang · Yu Qiao · Weidi Xie	N/A	Code
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing	Xiaodan Li · Yuefeng Chen · Yao Zhu · Shuhui Wang · Rong Zhang · Hui Xue	N/A	Code
Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos	Liao Wang · Qiang Hu · Qihan He · Ziyu Wang · Jingyi Yu · Tinne Tuytelaars · Lan Xu · Minye Wu	N/A	Code
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm	Yichen Xie · Han Lu · Junchi Yan · Xiaokang Yang · Masayoshi Tomizuka · Wei Zhan	N/A	Code
Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering	Ruizhi Shao · Zerong Zheng · Hanzhang Tu · Boning Liu · Hongwen Zhang · Yebin Liu	N/A	Code
RiDDLE: Reversible and Diversified De-Identification With Latent Encryptor	Dongze Li · Wei Wang · Kang Zhao · Jing Dong · Tieniu Tan	N/A	Code
RobustNeRF: Ignoring Distractors With Robust Losses	Sara Sabour · Suhani Vora · Daniel Duckworth · Ivan Krasin · David J. Fleet · Andrea Tagliasacchi	N/A	Code
Bitstream-Corrupted JPEG Images Are Restorable: Two-Stage Compensation and Alignment Framework for Image Restoration	Wenyang Liu · Yi Wang · Kim-Hui Yap · Lap-Pui Chau	N/A	Code
HierVL: Learning Hierarchical Video-Language Embeddings	Kumar Ashutosh · Rohit Girdhar · Lorenzo Torresani · Kristen Grauman	N/A	Code
Phone2Proc: Bringing Robust Robots Into Our Chaotic World	Matt Deitke · Rose Hendrix · Ali Farhadi · Kiana Ehsani · Aniruddha Kembhavi	N/A	Code
A Light Touch Approach to Teaching Transformers Multi-View Geometry	Yash Bhalgat · João F. Henriques · Andrew Zisserman	N/A	Code
Clothed Human Performance Capture With a Double-Layer Neural Radiance Fields	Kangkan Wang · Guofeng Zhang · Suxu Cong · Jian Yang	N/A	Code
AutoFocusFormer: Image Segmentation off the Grid	Chen Ziwen · Kaushik Patnaik · Shuangfei Zhai · Alvin Wan · Zhile Ren · Alexander G. Schwing · Alex Colburn · Li Fuxin	N/A	Code
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion	Davis Rempe · Zhengyi Luo · Xue Bin Peng · Ye Yuan · Kris Kitani · Karsten Kreis · Sanja Fidler · Or Litany	N/A	Code
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking	Jinkun Cao · Jiangmiao Pang · Xinshuo Weng · Rawal Khirodkar · Kris Kitani	N/A	Code
Spider GAN: Leveraging Friendly Neighbors To Accelerate GAN Training	Siddarth Asokan · Chandra Sekhar Seelamantula	N/A	Code
Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation	Jiawei Du · Yidi Jiang · Vincent Y. F. Tan · Joey Tianyi Zhou · Haizhou Li	N/A	Code
Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo	Yuesong Wang · Zhaojie Zeng · Tao Guan · Wei Yang · Zhuo Chen · Wenkai Liu · Luoyuan Xu · Yawei Luo	N/A	Code
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares	Dominik Muhle · Lukas Koestler · Krishna Murthy Jatavallabhula · Daniel Cremers	N/A	Code
Learning Anchor Transformations for 3D Garment Animation	Fang Zhao · Zekun Li · Shaoli Huang · Junwu Weng · Tianfei Zhou · Guo-Sen Xie · Jue Wang · Ying Shan	N/A	Code
PyPose: A Library for Robot Learning With Physics-Based Optimization	Chen Wang · Dasong Gao · Kuan Xu · Junyi Geng · Yaoyu Hu · Yuheng Qiu · Bowen Li · Fan Yang · Brady Moon · Abhinav Pandey · Aryan · Jiahe Xu · Tianhao Wu · Haonan He · Daning Huang · Zhongqiang Ren · Shibo Zhao · Taimeng Fu · Pranay Reddy · Xiao Lin · Wenshan Wang · Jingnan Shi · Rajat Talak · Kun Cao · Yi Du · Han Wang · Huai Yu · Shanzhao Wang · Siyu Chen · Ananth Kashyap · Rohan Bandaru · Karthik Dantu · Jiajun Wu · Lihua Xie · Luca Carlone · Marco Hutter · Sebastian Scherer	N/A	Code
Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge	Steven Spratley · Krista A. Ehinger · Tim Miller	N/A	Code
DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata	Ehsan Pajouheshgar · Yitao Xu · Tong Zhang · Sabine Süsstrunk	N/A	Code
Learning Generative Structure Prior for Blind Text Image Super-Resolution	Xiaoming Li · Wangmeng Zuo · Chen Change Loy	N/A	Code
CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis	Juntian Zheng · Qingyuan Zheng · Lixing Fang · Yun Liu · Li Yi	N/A	Code
SCPNet: Semantic Scene Completion on Point Cloud	Zhaoyang Xia · Youquan Liu · Xin Li · Xinge Zhu · Yuexin Ma · Yikang Li · Yuenan Hou · Yu Qiao	N/A	Code
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation	Zhen Li · Zuo-Liang Zhu · Ling-Hao Han · Qibin Hou · Chun-Le Guo · Ming-Ming Cheng	N/A	Code
Behavioral Analysis of Vision-and-Language Navigation Agents	Zijiao Yang · Arjun Majumdar · Stefan Lee	N/A	Code
Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation	Yuwei Yang · Munawar Hayat · Zhao Jin · Chao Ren · Yinjie Lei	N/A	Code
Directional Connectivity-Based Segmentation of Medical Images	Ziyun Yang · Sina Farsiu	N/A	Code
ScanDMM: A Deep Markov Model of Scanpath Prediction for 360° Images	Xiangjie Sui · Yuming Fang · Hanwei Zhu · Shiqi Wang · Zhou Wang	N/A	Code
3D Shape Reconstruction of Semi-Transparent Worms	Thomas P. Ilett · Omer Yuval · Thomas Ranner · Netta Cohen · David C. Hogg	N/A	Code
Patch-Craft Self-Supervised Training for Correlated Image Denoising	Gregory Vaksman · Michael Elad	N/A	Code
NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images	Xiaoxu Meng · Weikai Chen · Bo Yang	N/A	Code
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering	Zongrui Li · Qian Zheng · Boxin Shi · Gang Pan · Xudong Jiang	N/A	Code
Context-Aware Alignment and Mutual Masking for 3D-Language Pre-Training	Zhao Jin · Munawar Hayat · Yuwei Yang · Yulan Guo · Yinjie Lei	N/A	Code
Unsupervised Object Localization: Observing the Background To Discover Objects	Oriane Siméoni · Chloé Sekkat · Gilles Puy · Antonín Vobecký · Éloi Zablocki · Patrick Pérez	N/A	Code
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery	Muli Yang · Liancheng Wang · Cheng Deng · Hanwang Zhang	N/A	Code
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion	Yushi Lan · Xuyi Meng · Shuai Yang · Chen Change Loy · Bo Dai	N/A	Code
NeuralField-LDM: Scene Generation With Hierarchical Latent Diffusion Models	Seung Wook Kim · Bradley Brown · Kangxue Yin · Karsten Kreis · Katja Schwarz · Daiqing Li · Robin Rombach · Antonio Torralba · Sanja Fidler	N/A	Code
ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation	Alexandre Boulch · Corentin Sautier · Björn Michele · Gilles Puy · Renaud Marlet	N/A	Code
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction	Donghao Zhou · Chunbin Gu · Junde Xu · Furui Liu · Qiong Wang · Guangyong Chen · Pheng-Ann Heng	N/A	Code
Aligning Bag of Regions for Open-Vocabulary Object Detection	Size Wu · Wenwei Zhang · Sheng Jin · Wentao Liu · Chen Change Loy	N/A	Code
Neuralangelo: High-Fidelity Neural Surface Reconstruction	Zhaoshuo Li · Thomas Müller · Alex Evans · Russell H. Taylor · Mathias Unberath · Ming-Yu Liu · Chen-Hsuan Lin	N/A	Code
PCT-Net: Full Resolution Image Harmonization Using Pixel-Wise Color Transformations	Julian Jorge Andrade Guerreiro · Mitsuru Nakazawa · Björn Stenger	N/A	Code
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers	Ryan Grainger · Thomas Paniagua · Xi Song · Naresh Cuntoor · Mun Wai Lee · Tianfu Wu	N/A	Code
Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation	Dong Zhao · Shuang Wang · Qi Zang · Dou Quan · Xiutiao Ye · Licheng Jiao	N/A	Code
MEGANE: Morphable Eyeglass and Avatar Network	Junxuan Li · Shunsuke Saito · Tomas Simon · Stephen Lombardi · Hongdong Li · Jason Saragih	N/A	Code
Generalizable Implicit Neural Representations via Instance Pattern Composers	Chiheon Kim · Doyup Lee · Saehoon Kim · Minsu Cho · Wook-Shin Han	N/A	Code
Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution	Bangyan Liao · Delin Qu · Yifei Xue · Huiqing Zhang · Yizhen Lao	N/A	Code
Distribution Shift Inversion for Out-of-Distribution Prediction	Runpeng Yu · Songhua Liu · Xingyi Yang · Xinchao Wang	N/A	Code
Wide-Angle Rectification via Content-Aware Conformal Mapping	Qi Zhang · Hongdong Li · Qing Wang	N/A	Code
WildLight: In-the-Wild Inverse Rendering With a Flashlight	Ziang Cheng · Junxuan Li · Hongdong Li	N/A	Code
Physics-Driven Diffusion Models for Impact Sound Synthesis From Videos	Kun Su · Kaizhi Qian · Eli Shlizerman · Antonio Torralba · Chuang Gan	N/A	Code
Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks	Markus Frey · Christian F. Doeller · Caswell Barry	N/A	Code
Inverting the Imaging Process by Learning an Implicit Camera Model	Xin Huang · Qi Zhang · Ying Feng · Hongdong Li · Qing Wang	N/A	Code
EC2: Emergent Communication for Embodied Control	Yao Mu · Shunyu Yao · Mingyu Ding · Ping Luo · Chuang Gan	N/A	Code
Light Source Separation and Intrinsic Image Decomposition Under AC Illumination	Yusaku Yoshida · Ryo Kawahara · Takahiro Okabe	N/A	Code
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding	Thanh-Dat Truong · Ngan Le · Bhiksha Raj · Jackson Cothren · Khoa Luu	N/A	Code
Learning Locally Editable Virtual Humans	Hsuan-I Ho · Lixin Xue · Jie Song · Otmar Hilliges	N/A	Code
Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation	Yuheng Lu · Chenfeng Xu · Xiaobao Wei · Xiaodong Xie · Masayoshi Tomizuka · Kurt Keutzer · Shanghang Zhang	N/A	Code
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning	Qiang He · Huangyuan Su · Jieyu Zhang · Xinwen Hou	N/A	Code
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection	Anthony Chen · Kevin Zhang · Renrui Zhang · Zihan Wang · Yuheng Lu · Yandong Guo · Shanghang Zhang	N/A	Code
OrienterNet: Visual Localization in 2D Public Maps With Neural Matching	Paul-Edouard Sarlin · Daniel DeTone · Tsun-Yi Yang · Armen Avetisyan · Julian Straub · Tomasz Malisiewicz · Samuel Rota Bulò · Richard Newcombe · Peter Kontschieder · Vasileios Balntas	N/A	Code
Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation	Yixin Zhang · Zilei Wang · Weinan He	N/A	Code
Efficient Movie Scene Detection Using State-Space Transformers	Md Mohaiminul Islam · Mahmudul Hasan · Kishan Shamsundar Athrey · Tony Braskich · Gedas Bertasius	N/A	Code
Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction	Mingfang Zhang · Jinglu Wang · Xiao Li · Yifei Huang · Yoichi Sato · Yan Lu	N/A	Code
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks	Xiao Han · Xiatian Zhu · Licheng Yu · Li Zhang · Yi-Zhe Song · Tao Xiang	N/A	Code
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning	Qian Jiang · Changyou Chen · Han Zhao · Liqun Chen · Qing Ping · Son Dinh Tran · Yi Xu · Belinda Zeng · Trishul Chilimbi	N/A	Code
Level-S$^2$fM: Structure From Motion on Neural Level Set of Implicit Surfaces	Yuxi Xiao · Nan Xue · Tianfu Wu · Gui-Song Xia	N/A	Code
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection	Xinjiang Wang · Xingyi Yang · Shilong Zhang · Yijiang Li · Litong Feng · Shijie Fang · Chengqi Lyu · Kai Chen · Wayne Zhang	N/A	Code
Dense Distinct Query for End-to-End Object Detection	Shilong Zhang · Xinjiang Wang · Jiaqi Wang · Jiangmiao Pang · Chengqi Lyu · Wenwei Zhang · Ping Luo · Kai Chen	N/A	Code
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation	Zicong Fan · Omid Taheri · Dimitrios Tzionas · Muhammed Kocabas · Manuel Kaufmann · Michael J. Black · Otmar Hilliges	N/A	Code
BiFormer: Vision Transformer With Bi-Level Routing Attention	Lei Zhu · Xinjiang Wang · Zhanghan Ke · Wayne Zhang · Rynson W.H. Lau	N/A	Code
Hierarchical Video-Moment Retrieval and Step-Captioning	Abhay Zala · Jaemin Cho · Satwik Kottur · Xilun Chen · Barlas Oguz · Yashar Mehdad · Mohit Bansal	N/A	Code
Progressive Open Space Expansion for Open-Set Model Attribution	Tianyun Yang · Danding Wang · Fan Tang · Xinying Zhao · Juan Cao · Sheng Tang	N/A	Code
Deep Depth Estimation From Thermal Image	Ukcheol Shin · Jinsun Park · In So Kweon	N/A	Code
Incremental 3D Semantic Scene Graph Prediction From RGB Sequences	Shun-Cheng Wu · Keisuke Tateno · Nassir Navab · Federico Tombari	N/A	Code
Visual Programming: Compositional Visual Reasoning Without Training	Tanmay Gupta · Aniruddha Kembhavi	N/A	Code
Change-Aware Sampling and Contrastive Learning for Satellite Images	Utkarsh Mall · Bharath Hariharan · Kavita Bala	N/A	Code
NULL-Text Inversion for Editing Real Images Using Guided Diffusion Models	Ron Mokady · Amir Hertz · Kfir Aberman · Yael Pritch · Daniel Cohen-Or	N/A	Code
RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors	Rui-Qi Wu · Zheng-Peng Duan · Chun-Le Guo · Zhi Chai · Chongyi Li	N/A	Code
Neural Part Priors: Learning To Optimize Part-Based Object Completion in RGB-D Scans	Aleksei Bokhovkin · Angela Dai	N/A	Code
Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy	Cheng Jiang · Xinhai Hou · Akhil Kondepudi · Asadur Chowdury · Christian W. Freudiger · Daniel A. Orringer · Honglak Lee · Todd C. Hollon	N/A	Code
Domain Expansion of Image Generators	Yotam Nitzan · Michaël Gharbi · Richard Zhang · Taesung Park · Jun-Yan Zhu · Daniel Cohen-Or · Eli Shechtman	N/A	Code
“Seeing” Electric Network Frequency From Events	Lexuan Xu · Guang Hua · Haijian Zhang · Lei Yu · Ning Qiao	N/A	Code
MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection	Wenda Zhao · Shigeng Xie · Fan Zhao · You He · Huchuan Lu	N/A	Code
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching	Jiahuan Yu · Jiahao Chang · Jianfeng He · Tianzhu Zhang · Jiyang Yu · Feng Wu	N/A	Code
SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence	Jiacheng Deng · Chuxin Wang · Jiahao Lu · Jianfeng He · Tianzhu Zhang · Jiyang Yu · Zhe Zhang	N/A	Code
Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection	Chang Xu · Jian Ding · Jinwang Wang · Wen Yang · Huai Yu · Lei Yu · Gui-Song Xia	N/A	Code
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning	Yu Wang · Pengchong Qiao · Chang Liu · Guoli Song · Xiawu Zheng · Jie Chen	N/A	Code
Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding	Praneeth Chakravarthula · Jim Aldon D’Souza · Ethan Tseng · Joe Bartusek · Felix Heide	N/A	Code
DNF: Decouple and Feedback Network for Seeing in the Dark	Xin Jin · Ling-Hao Han · Zhen Li · Chun-Le Guo · Zhi Chai · Chongyi Li	N/A	Code
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation	Samir Yitzhak Gadre · Mitchell Wortsman · Gabriel Ilharco · Ludwig Schmidt · Shuran Song	N/A	Code
NVTC: Nonlinear Vector Transform Coding	Runsen Feng · Zongyu Guo · Weiping Li · Zhibo Chen	N/A	Code
Towards Unified Scene Text Spotting Based on Sequence Generation	Taeho Kil · Seonghyeon Kim · Sukmin Seo · Yoonsik Kim · Daehee Kim	N/A	Code
Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation	Tsu-Jui Fu · Licheng Yu · Ning Zhang · Cheng-Yang Fu · Jong-Chyi Su · William Yang Wang · Sean Bell	N/A	Code
Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation	Pengchong Qiao · Zhidan Wei · Yu Wang · Zhennan Wang · Guoli Song · Fan Xu · Xiangyang Ji · Chang Liu · Jie Chen	N/A	Code
Progressively Optimized Local Radiance Fields for Robust View Synthesis	Andréas Meuleman · Yu-Lun Liu · Chen Gao · Jia-Bin Huang · Changil Kim · Min H. Kim · Johannes Kopf	N/A	Code
Neural Map Prior for Autonomous Driving	Xuan Xiong · Yicheng Liu · Tianyuan Yuan · Yue Wang · Yilun Wang · Hang Zhao	N/A	Code
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration	Yawei Li · Yuchen Fan · Xiaoyu Xiang · Denis Demandolx · Rakesh Ranjan · Radu Timofte · Luc Van Gool	N/A	Code
F2-NeRF: Fast Neural Radiance Field Training With Free Camera Trajectories	Peng Wang · Yuan Liu · Zhaoxi Chen · Lingjie Liu · Ziwei Liu · Taku Komura · Christian Theobalt · Wenping Wang	N/A	Code
Procedure-Aware Pretraining for Instructional Video Understanding	Honglu Zhou · Roberto Martín-Martín · Mubbasir Kapadia · Silvio Savarese · Juan Carlos Niebles	N/A	Code
High-Fidelity Guided Image Synthesis With Latent Diffusion Models	Jaskirat Singh · Stephen Gould · Liang Zheng	N/A	Code
Progressive Random Convolutions for Single Domain Generalization	Seokeon Choi · Debasmit Das · Sungha Choi · Seunghan Yang · Hyunsin Park · Sungrack Yun	N/A	Code
EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization	Junha Song · Jungsoo Lee · In So Kweon · Sungha Choi	N/A	Code
NoPe-NeRF: Optimising Neural Radiance Field With No Pose Prior	Wenjing Bian · Zirui Wang · Kejie Li · Jia-Wang Bian · Victor Adrian Prisacariu	N/A	Code
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds	Zihui Zhang · Bo Yang · Bing Wang · Bo Li	N/A	Code
Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning	Kaiyou Song · Jin Xie · Shan Zhang · Zimeng Luo	N/A	Code
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations	Jiahao Zhang · Anoop Cherian · Yanbin Liu · Yizhak Ben-Shabat · Cristian Rodriguez · Stephen Gould	N/A	Code
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields	Mohammad Mahdi Johari · Camilla Carta · François Fleuret	N/A	Code
AutoRecon: Automated 3D Object Discovery and Reconstruction	Yuang Wang · Xingyi He · Sida Peng · Haotong Lin · Hujun Bao · Xiaowei Zhou	N/A	Code
Ultra-High Resolution Segmentation With Ultra-Rich Context: A Novel Benchmark	Deyi Ji · Feng Zhao · Hongtao Lu · Mingyuan Tao · Jieping Ye	N/A	Code
NeUDF: Leaning Neural Unsigned Distance Fields With Volume Rendering	Yu-Tao Liu · Li Wang · Jie Yang · Weikai Chen · Xiaoxu Meng · Bo Yang · Lin Gao	N/A	Code
Improving Cross-Modal Retrieval With Set of Diverse Embeddings	Dongwon Kim · Namyup Kim · Suha Kwak	N/A	Code
An Image Quality Assessment Dataset for Portraits	Nicolas Chahine · Stefania Calarasanu · Davide Garcia-Civiero · Théo Cayla · Sira Ferradans · Jean Ponce	N/A	Code
Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor	Hyeokjun Kweon · Sung-Hoon Yoon · Kuk-Jin Yoon	N/A	Code
NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer	Kun Zhou · Wenbo Li · Yi Wang · Tao Hu · Nianjuan Jiang · Xiaoguang Han · Jiangbo Lu	N/A	Code
ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations	Panos Achlioptas · Ian Huang · Minhyuk Sung · Sergey Tulyakov · Leonidas Guibas	N/A	Code
RelightableHands: Efficient Neural Relighting of Articulated Hand Models	Shun Iwase · Shunsuke Saito · Tomas Simon · Stephen Lombardi · Timur Bagautdinov · Rohan Joshi · Fabian Prada · Takaaki Shiratori · Yaser Sheikh · Jason Saragih	N/A	Code
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud	Ziqin Wang · Bowen Cheng · Lichen Zhao · Dong Xu · Yang Tang · Lu Sheng	N/A	Code
MVImgNet: A Large-Scale Dataset of Multi-View Images	Xianggang Yu · Mutian Xu · Yidan Zhang · Haolin Liu · Chongjie Ye · Yushuang Wu · Zizheng Yan · Chenming Zhu · Zhangyang Xiong · Tianyou Liang · Guanying Chen · Shuguang Cui · Xiaoguang Han	N/A	Code
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling With Informative-Preserved Reconstruction and Self-Distilled Consistency	Mingye Xu · Mutian Xu · Tong He · Wanli Ouyang · Yali Wang · Xiaoguang Han · Yu Qiao	N/A	Code
Self-Guided Diffusion Models	Vincent Tao Hu · David W. Zhang · Yuki M. Asano · Gertjan J. Burghouts · Cees G. M. Snoek	N/A	Code
REC-MV: REconstructing 3D Dynamic Cloth From Monocular Videos	Lingteng Qiu · Guanying Chen · Jiapeng Zhou · Mutian Xu · Junle Wang · Xiaoguang Han	N/A	Code
OneFormer: One Transformer To Rule Universal Image Segmentation	Jitesh Jain · Jiachen Li · Mang Tik Chiu · Ali Hassani · Nikita Orlov · Humphrey Shi	N/A	Code
Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations	Vibashan VS · Ning Yu · Chen Xing · Can Qin · Mingfei Gao · Juan Carlos Niebles · Vishal M. Patel · Ran Xu	N/A	Code
Multiclass Confidence and Localization Calibration for Object Detection	Bimsara Pathiraja · Malitha Gunawardhana · Muhammad Haris Khan	N/A	Code
Structured Kernel Estimation for Photon-Limited Deconvolution	Yash Sanghvi · Zhiyuan Mao · Stanley H. Chan	N/A	Code
CLIPPO: Image-and-Language Understanding From Pixels Only	Michael Tschannen · Basil Mustafa · Neil Houlsby	N/A	Code
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition	Lilang Lin · Jiahang Zhang · Jiaying Liu	N/A	Code
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging	Siddharth Somasundaram · Akshat Dave · Connor Henley · Ashok Veeraraghavan · Ramesh Raskar	N/A	Code
Shape-Aware Text-Driven Layered Video Editing	Yao-Chih Lee · Ji-Ze Genevieve Jang · Yi-Ting Chen · Elizabeth Qiu · Jia-Bin Huang	N/A	Code
FlexiViT: One Model for All Patch Sizes	Lucas Beyer · Pavel Izmailov · Alexander Kolesnikov · Mathilde Caron · Simon Kornblith · Xiaohua Zhai · Matthias Minderer · Michael Tschannen · Ibrahim Alabdulmohsin · Filip Pavetic	N/A	Code
Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks	Binghui Wang · Meng Pang · Yun Dong	N/A	Code
HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling	Yujian Zheng · Zirong Jin · Moran Li · Haibin Huang · Chongyang Ma · Shuguang Cui · Xiaoguang Han	N/A	Code
RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval	Yanglin Feng · Hongyuan Zhu · Dezhong Peng · Xi Peng · Peng Hu	N/A	Code
Learning Federated Visual Prompt in Null Space for MRI Reconstruction	Chun-Mei Feng · Bangjun Li · Xinxing Xu · Yong Liu · Huazhu Fu · Wangmeng Zuo	N/A	Code
VGFlow: Visibility Guided Flow Network for Human Reposing	Rishabh Jain · Krishna Kumar Singh · Mayur Hemani · Jingwan Lu · Mausoom Sarkar · Duygu Ceylan · Balaji Krishnamurthy	N/A	Code
Learning Attention As Disentangler for Compositional Zero-Shot Learning	Shaozhe Hao · Kai Han · Kwan-Yee K. Wong	N/A	Code
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces	Yiqun Wang · Ivan Skorokhodov · Peter Wonka	N/A	Code
Perception-Oriented Single Image Super-Resolution Using Optimal Objective Estimation	Seung Ho Park · Young Su Moon · Nam Ik Cho	N/A	Code
Learning To Exploit Temporal Structure for Biomedical Vision–Language Processing	Shruthi Bannur · Stephanie Hyland · Qianchu Liu · Fernando Pérez-García · Maximilian Ilse · Daniel C. Castro · Benedikt Boecking · Harshita Sharma · Kenza Bouzid · Anja Thieme · Anton Schwaighofer · Maria Wetscherek · Matthew P. Lungren · Aditya Nori · Javier Alvarez-Valle · Ozan Oktay	N/A	Code
TRACE: 5D Temporal Regression of Avatars With Dynamic Cameras in 3D Environments	Yu Sun · Qian Bao · Wu Liu · Tao Mei · Michael J. Black	N/A	Code
Neumann Network With Recursive Kernels for Single Image Defocus Deblurring	Yuhui Quan · Zicong Wu · Hui Ji	N/A	Code
Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation	Mattia Litrico · Alessio Del Bue · Pietro Morerio	N/A	Code
PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes	Ruoyu Wang · Zehao Yu · Shenghua Gao	N/A	Code
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference	Haoran You · Yunyang Xiong · Xiaoliang Dai · Bichen Wu · Peizhao Zhang · Haoqi Fan · Peter Vajda · Yingyan (Celine) Lin	N/A	Code
Attention-Based Point Cloud Edge Sampling	Chengzhi Wu · Junwei Zheng · Julius Pfrommer · Jürgen Beyerer	N/A	Code
Structured 3D Features for Reconstructing Controllable Avatars	Enric Corona · Mihai Zanfir · Thiemo Alldieck · Eduard Gabriel Bazavan · Andrei Zanfir · Cristian Sminchisescu	N/A	Code
Zero-Shot Referring Image Segmentation With Global-Local Context Features	Seonghoon Yu · Paul Hongsuck Seo · Jeany Son	N/A	Code
CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective	Junwen Xiong · Ganglai Wang · Peng Zhang · Wei Huang · Yufei Zha · Guangtao Zhai	N/A	Code
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic Segmentation	Anwesa Choudhuri · Girish Chowdhary · Alexander G. Schwing	N/A	Code
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields	Rohith Agaram · Shaurya Dewan · Rahul Sajnani · Adrien Poulenard · Madhava Krishna · Srinath Sridhar	N/A	Code
Decoupled Multimodal Distilling for Emotion Recognition	Yong Li · Yuanzhi Wang · Zhen Cui	N/A	Code
TensoIR: Tensorial Inverse Rendering	Haian Jin · Isabella Liu · Peijia Xu · Xiaoshuai Zhang · Songfang Han · Sai Bi · Xiaowei Zhou · Zexiang Xu · Hao Su	N/A	Code
Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning	Jiayi Guo · Chaofei Wang · You Wu · Eric Zhang · Kai Wang · Xingqian Xu · Shiji Song · Humphrey Shi · Gao Huang	N/A	Code
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection	Jiawei Ma · Yulei Niu · Jincheng Xu · Shiyuan Huang · Guangxing Han · Shih-Fu Chang	N/A	Code
Unbalanced Optimal Transport: A Unified Framework for Object Detection	Henri De Plaen · Pierre-François De Plaen · Johan A. K. Suykens · Marc Proesmans · Tinne Tuytelaars · Luc Van Gool	N/A	Code
NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation	Yu Yin · Kamran Ghasedi · HsiangTao Wu · Jiaolong Yang · Xin Tong · Yun Fu	N/A	Code
Masked Image Training for Generalizable Deep Image Denoising	Haoyu Chen · Jinjin Gu · Yihao Liu · Salma Abdel Magid · Chao Dong · Qiong Wang · Hanspeter Pfister · Lei Zhu	N/A	Code
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation	Mayu Otani · Riku Togashi · Yu Sawai · Ryosuke Ishigami · Yuta Nakashima · Esa Rahtu · Janne Heikkilä · Shin’ichi Satoh	N/A	Code
Towards Flexible Multi-Modal Document Models	Naoto Inoue · Kotaro Kikuchi · Edgar Simo-Serra · Mayu Otani · Kota Yamaguchi	N/A	Code
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style	Fengyin Lin · Mingkang Li · Da Li · Timothy Hospedales · Yi-Zhe Song · Yonggang Qi	N/A	Code
LidarGait: Benchmarking 3D Gait Recognition With Point Clouds	Chuanfu Shen · Chao Fan · Wei Wu · Rui Wang · George Q. Huang · Shiqi Yu	N/A	Code
OpenGait: Revisiting Gait Recognition Towards Better Practicality	Chao Fan · Junhao Liang · Chuanfu Shen · Saihui Hou · Yongzhen Huang · Shiqi Yu	N/A	Code
Towards Unsupervised Object Detection From LiDAR Point Clouds	Lunjun Zhang · Anqi Joyce Yang · Yuwen Xiong · Sergio Casas · Bin Yang · Mengye Ren · Raquel Urtasun	N/A	Code
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images	Ming Y. Lu · Bowen Chen · Andrew Zhang · Drew F. K. Williamson · Richard J. Chen · Tong Ding · Long Phi Le · Yung-Sung Chuang · Faisal Mahmood	N/A	Code
DivClust: Controlling Diversity in Deep Clustering	Ioannis Maniadis Metaxas · Georgios Tzimiropoulos · Ioannis Patras	N/A	Code
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning	Runqi Wang · Xiaoyue Duan · Guoliang Kang · Jianzhuang Liu · Shaohui Lin · Songcen Xu · Jinhu Lü · Baochang Zhang	N/A	Code
Unsupervised Continual Semantic Adaptation Through Neural Rendering	Zhizheng Liu · Francesco Milano · Jonas Frey · Roland Siegwart · Hermann Blum · Cesar Cadena	N/A	Code
Semi-Supervised Parametric Real-World Image Harmonization	Ke Wang · Michaël Gharbi · He Zhang · Zhihao Xia · Eli Shechtman	N/A	Code
EqMotion: Equivariant Multi-Agent Motion Prediction With Invariant Interaction Reasoning	Chenxin Xu · Robby T. Tan · Yuhong Tan · Siheng Chen · Yu Guang Wang · Xinchao Wang · Yanfeng Wang	N/A	Code
BUOL: A Bottom-Up Framework With Occupancy-Aware Lifting for Panoptic 3D Scene Reconstruction From a Single Image	Tao Chu · Pan Zhang · Qiong Liu · Jiaqi Wang	N/A	Code
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation	Ning Zhang · Francesco Nex · George Vosselman · Norman Kerle	N/A	Code
Novel-View Acoustic Synthesis	Changan Chen · Alexander Richard · Roman Shapovalov · Vamsi Krishna Ithapu · Natalia Neverova · Kristen Grauman · Andrea Vedaldi	N/A	Code
Audio-Visual Grouping Network for Sound Localization From Mixtures	Shentong Mo · Yapeng Tian	N/A	Code
Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations	Sagnik Majumder · Hao Jiang · Pierre Moulon · Ethan Henderson · Paul Calamia · Kristen Grauman · Vamsi Krishna Ithapu	N/A	Code
ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders	Sanghyun Woo · Shoubhik Debnath · Ronghang Hu · Xinlei Chen · Zhuang Liu · In So Kweon · Saining Xie	N/A	Code
Collaboration Helps Camera Overtake LiDAR in 3D Detection	Yue Hu · Yifan Lu · Runsheng Xu · Weidi Xie · Siheng Chen · Yanfeng Wang	N/A	Code
Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment	Runqi Wang · Hao Zheng · Xiaoyue Duan · Jianzhuang Liu · Yuning Lu · Tian Wang · Songcen Xu · Baochang Zhang	N/A	Code
MetaCLUE: Towards Comprehensive Visual Metaphors Research	Arjun R. Akula · Brendan Driscoll · Pradyumna Narayana · Soravit Changpinyo · Zhiwei Jia · Suyash Damle · Garima Pruthi · Sugato Basu · Leonidas Guibas · William Freeman · Yuanzhen Li · Varun Jampani	N/A	Code
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric	Pengxin Zeng · Yunfan Li · Peng Hu · Dezhong Peng · Jiancheng Lv · Xi Peng	N/A	Code
Visual Atoms: Pre-Training Vision Transformers With Sinusoidal Waves	Sora Takashima · Ryo Hayamizu · Nakamasa Inoue · Hirokatsu Kataoka · Rio Yokota	N/A	Code
3D-Aware Multi-Class Image-to-Image Translation With NeRFs	Senmao Li · Joost van de Weijer · Yaxing Wang · Fahad Shahbaz Khan · Meiqin Liu · Jian Yang	N/A	Code
E2PN: Efficient SE(3)-Equivariant Point Network	Minghan Zhu · Maani Ghaffari · William A. Clark · Huei Peng	N/A	Code
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing	Yichen Sheng · Jianming Zhang · Julien Philip · Yannick Hold-Geoffroy · Xin Sun · He Zhang · Lu Ling · Bedrich Benes	N/A	Code
UniSim: A Neural Closed-Loop Sensor Simulator	Ze Yang · Yun Chen · Jingkang Wang · Sivabalan Manivasagam · Wei-Chiu Ma · Anqi Joyce Yang · Raquel Urtasun	N/A	Code
Occlusion-Free Scene Recovery via Neural Radiance Fields	Chengxuan Zhu · Renjie Wan · Yunkai Tang · Boxin Shi	N/A	Code
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting With Neural Radiance Fields	Ashkan Mirzaei · Tristan Aumentado-Armstrong · Kosta Derpanis · Jonathan Kelly · Marcus A. Brubaker · Igor Gilitschenski · Alex Levinshtein	N/A	Code
Class-Incremental Exemplar Compression for Class-Incremental Learning	Zilin Luo · Yaoyao Liu · Bernt Schiele · Qianru Sun	N/A	Code
DETRs With Hybrid Matching	Ding Jia · Yuhui Yuan · Haodi He · Xiaopei Wu · Haojun Yu · Weihong Lin · Lei Sun · Chao Zhang · Han Hu	N/A	Code
3D Human Mesh Estimation From Virtual Markers	Xiaoxuan Ma · Jiajun Su · Chunyu Wang · Wentao Zhu · Yizhou Wang	N/A	Code
Objaverse: A Universe of Annotated 3D Objects	Matt Deitke · Dustin Schwenk · Jordi Salvador · Luca Weihs · Oscar Michel · Eli VanderBilt · Ludwig Schmidt · Kiana Ehsani · Aniruddha Kembhavi · Ali Farhadi	N/A	Code
Adjustment and Alignment for Unbiased Open Set Domain Adaptation	Wuyang Li · Jie Liu · Bo Han · Yixuan Yuan	N/A	Code
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition	Ishan Rajendrakumar Dave · Mamshad Nayeem Rizve · Chen Chen · Mubarak Shah	N/A	Code
EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging	Lishun Wang · Miao Cao · Xin Yuan	N/A	Code
Continual Detection Transformer for Incremental Object Detection	Yaoyao Liu · Bernt Schiele · Andrea Vedaldi · Christian Rupprecht	N/A	Code
Hierarchical Prompt Learning for Multi-Task Learning	Yajing Liu · Yuning Lu · Hao Liu · Yaozu An · Zhuoran Xu · Zhuokun Yao · Baofeng Zhang · Zhiwei Xiong · Chenguang Gui	N/A	Code
Boost Vision Transformer With GPU-Friendly Sparsity and Quantization	Chong Yu · Tao Chen · Zhongxue Gan · Jiayuan Fan	N/A	Code
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression	Junho Kim · Byung-Kwan Lee · Yong Man Ro	N/A	Code
Regularizing Second-Order Influences for Continual Learning	Zhicheng Sun · Yadong Mu · Gang Hua	N/A	Code
Heterogeneous Continual Learning	Divyam Madaan · Hongxu Yin · Wonmin Byeon · Jan Kautz · Pavlo Molchanov	N/A	Code
DP-NeRF: Deblurred Neural Radiance Field With Physical Scene Priors	Dogyoon Lee · Minhyeok Lee · Chajin Shin · Sangyoun Lee	N/A	Code
3D-POP – An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds With Marker-Based Motion Capture	Hemal Naik · Alex Hoi Hang Chan · Junran Yang · Mathilde Delacoux · Iain D. Couzin · Fumihiro Kano · Máté Nagy	N/A	Code
Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives	Daniel Widdowson · Vitaliy Kurlin	N/A	Code
Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation	Chunlu Li · Andreas Morel-Forster · Thomas Vetter · Bernhard Egger · Adam Kortylewski	N/A	Code
Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization	Shichao Dong · Jin Wang · Renhe Ji · Jiajun Liang · Haoqiang Fan · Zheng Ge	N/A	Code
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation	Qihao Liu · Adam Kortylewski · Alan L. Yuille	N/A	Code
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking	Yukang Chen · Jianhui Liu · Xiangyu Zhang · Xiaojuan Qi · Jiaya Jia	N/A	Code
1000 FPS HDR Video With a Spike-RGB Hybrid Camera	Yakun Chang · Chu Zhou · Yuchen Hong · Liwen Hu · Chao Xu · Tiejun Huang · Boxin Shi	N/A	Code
How to Backdoor Diffusion Models?	Sheng-Yen Chou · Pin-Yu Chen · Tsung-Yi Ho	N/A	Code
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification	Meike Nauta · Jörg Schlötterer · Maurice van Keulen · Christin Seifert	N/A	Code
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers	Siyuan Wei · Tianzhu Ye · Shen Zhang · Yao Tang · Jiajun Liang	N/A	Code
Energy-Efficient Adaptive 3D Sensing	Brevin Tilmon · Zhanghao Sun · Sanjeev J. Koppal · Yicheng Wu · Georgios Evangelidis · Ramzi Zahreddine · Gurunandan Krishnan · Sizhuo Ma · Jian Wang	N/A	Code
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data	Yuhao Chen · Xin Tan · Borui Zhao · Zhaowei Chen · Renjie Song · Jiajun Liang · Xuequan Lu	N/A	Code
Fix the Noise: Disentangling Source Feature for Controllable Domain Translation	Dongyeun Lee · Jae Young Lee · Doyeon Kim · Jaehyun Choi · Jaejun Yoo · Junmo Kim	N/A	Code
Learning Transferable Spatiotemporal Representations From Natural Script Knowledge	Ziyun Zeng · Yuying Ge · Xihui Liu · Bin Chen · Ping Luo · Shu-Tao Xia · Yixiao Ge	N/A	Code
Side Adapter Network for Open-Vocabulary Semantic Segmentation	Mengde Xu · Zheng Zhang · Fangyun Wei · Han Hu · Xiang Bai	N/A	Code
A Strong Baseline for Generalized Few-Shot Semantic Segmentation	Sina Hajimiri · Malik Boudiaf · Ismail Ben Ayed · Jose Dolz	N/A	Code
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations	Lei Hsiung · Yun-Yun Tsai · Pin-Yu Chen · Tsung-Yi Ho	N/A	Code
Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection	Nishant Kumar · Siniša Šegvić · Abouzar Eslami · Stefan Gumhold	N/A	Code
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction	Aggelina Chatziagapi · Dimitris Samaras	N/A	Code
Learning Semantic Relationship Among Instances for Image-Text Matching	Zheren Fu · Zhendong Mao · Yan Song · Yongdong Zhang	N/A	Code
Understanding Imbalanced Semantic Segmentation Through Neural Collapse	Zhisheng Zhong · Jiequan Cui · Yibo Yang · Xiaoyang Wu · Xiaojuan Qi · Xiangyu Zhang · Jiaya Jia	N/A	Code
SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates	Mikaela Angelina Uy · Ricardo Martin-Brualla · Leonidas Guibas · Ke Li	N/A	Code
MonoHuman: Animatable Human Neural Field From Monocular Video	Zhengming Yu · Wei Cheng · Xian Liu · Wayne Wu · Kwan-Yee Lin	N/A	Code
Affection: Learning Affective Explanations for Real-World Visual Data	Panos Achlioptas · Maks Ovsjanikov · Leonidas Guibas · Sergey Tulyakov	N/A	Code
Sharpness-Aware Gradient Matching for Domain Generalization	Pengfei Wang · Zhaoxiang Zhang · Zhen Lei · Lei Zhang	N/A	Code
Generalized Decoding for Pixel, Image, and Language	Xueyan Zou · Zi-Yi Dou · Jianwei Yang · Zhe Gan · Linjie Li · Chunyuan Li · Xiyang Dai · Harkirat Behl · Jianfeng Wang · Lu Yuan · Nanyun Peng · Lijuan Wang · Yong Jae Lee · Jianfeng Gao	N/A	Code
How You Feelin’? Learning Emotions and Mental States in Movie Scenes	Dhruv Srivastava · Aditya Kumar Singh · Makarand Tapaswi	N/A	Code
Improving Visual Representation Learning Through Perceptual Understanding	Samyakh Tukra · Frederick Hoffman · Ken Chatfield	N/A	Code
PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering	Han Yan · Celong Liu · Chao Ma · Xing Mei	N/A	Code
HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions	Anshul Shah · Aniket Roy · Ketul Shah · Shlok Mishra · David Jacobs · Anoop Cherian · Rama Chellappa	N/A	Code
FeatureBooster: Boosting Feature Descriptors With a Lightweight Neural Network	Xinjiang Wang · Zeyu Liu · Yu Hu · Wei Xi · Wenxian Yu · Danping Zou	N/A	Code
ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion	Sangmin Hong · Mohsen Yavartanoo · Reyhaneh Neshatavar · Kyoung Mu Lee	N/A	Code
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis	Allan Zhou · Moo Jin Kim · Lirui Wang · Pete Florence · Chelsea Finn	N/A	Code
Query-Centric Trajectory Prediction	Zikang Zhou · Jianping Wang · Yung-Hui Li · Yu-Kai Huang	N/A	Code
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding	Yanmin Wu · Xinhua Cheng · Renrui Zhang · Zesen Cheng · Jian Zhang	N/A	Code
Sliced Optimal Partial Transport	Yikun Bai · Bernhard Schmitzer · Matthew Thorpe · Soheil Kolouri	N/A	Code
PersonNeRF: Personalized Reconstruction From Photo Collections	Chung-Yi Weng · Pratul P. Srinivasan · Brian Curless · Ira Kemelmacher-Shlizerman	N/A	Code
Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers	Zhou Huang · Hang Dai · Tian-Zhu Xiang · Shuo Wang · Huai-Xin Chen · Jie Qin · Huan Xiong	N/A	Code
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images	Animesh Karnewar · Andrea Vedaldi · David Novotny · Niloy J. Mitra	N/A	Code
Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors	Gongjie Zhang · Zhipeng Luo · Zichen Tian · Jingyi Zhang · Xiaoqin Zhang · Shijian Lu	N/A	Code
Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images	Tiancheng Lin · Zhimiao Yu · Hongyu Hu · Yi Xu · Chang-Wen Chen	N/A	Code
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding	Minyoung Hwang · Jaeyeon Jeong · Minsoo Kim · Yoonseon Oh · Songhwai Oh	N/A	Code
Sketch2Saliency: Learning To Detect Salient Objects From Human Drawings	Ayan Kumar Bhunia · Subhadeep Koley · Amandeep Kumar · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
Picture That Sketch: Photorealistic Image Generation From Abstract Sketches	Subhadeep Koley · Ayan Kumar Bhunia · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not	Aneeshan Sain · Ayan Kumar Bhunia · Pinaki Nath Chowdhury · Subhadeep Koley · Tao Xiang · Yi-Zhe Song	N/A	Code
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data	Jihye Park · Sunwoo Kim · Soohyun Kim · Seokju Cho · Jaejun Yoo · Youngjung Uh · Seungryong Kim	N/A	Code
Depth Estimation From Indoor Panoramas With Neural Scene Representation	Wenjie Chang · Yueyi Zhang · Zhiwei Xiong	N/A	Code
What Can Human Sketches Do for Object Detection?	Pinaki Nath Chowdhury · Ayan Kumar Bhunia · Aneeshan Sain · Subhadeep Koley · Tao Xiang · Yi-Zhe Song	N/A	Code
SceneTrilogy: On Human Scene-Sketch and Its Complementarity With Photo and Text	Pinaki Nath Chowdhury · Ayan Kumar Bhunia · Aneeshan Sain · Subhadeep Koley · Tao Xiang · Yi-Zhe Song	N/A	Code
Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer	Jingpei Lu · Florian Richter · Michael C. Yip	N/A	Code
Fine-Grained Audible Video Description	Xuyang Shen · Dong Li · Jinxing Zhou · Zhen Qin · Bowen He · Xiaodong Han · Aixuan Li · Mochu Xiang · Lingpeng Kong · Meng Wang · Yu Qiao · Yiran Zhong	N/A	Code
EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention	Xinyu Liu · Houwen Peng · Ningxin Zheng · Yuqing Yang · Han Hu · Yixuan Yuan	N/A	Code
Relightable Neural Human Assets From Multi-View Gradient Illuminations	Taotao Zhou · Kai He · Di Wu · Teng Xu · Qixuan Zhang · Kuixiang Shao · Wenzheng Chen · Lan Xu · Jingyi Yu	N/A	Code
Music-Driven Group Choreography	Nhat Le · Thang Pham · Tuong Do · Erman Tjiputra · Quang D. Tran · Anh Nguyen	N/A	Code
DIP: Dual Incongruity Perceiving Network for Sarcasm Detection	Changsong Wen · Guoli Jia · Jufeng Yang	N/A	Code
MagicPony: Learning Articulated 3D Animals in the Wild	Shangzhe Wu · Ruining Li · Tomas Jakab · Christian Rupprecht · Andrea Vedaldi	N/A	Code
Preserving Linear Separability in Continual Learning by Backward Feature Projection	Qiao Gu · Dongsub Shim · Florian Shkurti	N/A	Code
Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues	Xingyu Ren · Jiankang Deng · Chao Ma · Yichao Yan · Xiaokang Yang	N/A	Code
HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models	Shan Ning · Longtian Qiu · Yongfei Liu · Xuming He	N/A	Code
Regularization of Polynomial Networks for Image Recognition	Grigorios G. Chrysos · Bohan Wang · Jiankang Deng · Volkan Cevher	N/A	Code
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR	Aneeshan Sain · Ayan Kumar Bhunia · Subhadeep Koley · Pinaki Nath Chowdhury · Soumitri Chattopadhyay · Tao Xiang · Yi-Zhe Song	N/A	Code
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement	Yuhui Wu · Chen Pan · Guoqing Wang · Yang Yang · Jiwei Wei · Chongyi Li · Heng Tao Shen	N/A	Code
Block Selection Method for Using Feature Norm in Out-of-Distribution Detection	Yeonguk Yu · Sungho Shin · Seongju Lee · Changhyun Jun · Kyoobin Lee	N/A	Code
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model With Discrete and Continuous Denoising	Mohammad Amin Shabani · Sepidehsadat Hosseini · Yasutaka Furukawa	N/A	Code
Integral Neural Networks	Kirill Solodskikh · Azim Kurbanov · Ruslan Aydarkhanov · Irina Zhelavskaya · Yury Parfenov · Dehua Song · Stamatios Lefkimmiatis	N/A	Code
FitMe: Deep Photorealistic 3D Morphable Model Avatars	Alexandros Lattas · Stylianos Moschoglou · Stylianos Ploumpis · Baris Gecer · Jiankang Deng · Stefanos Zafeiriou	N/A	Code
Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment	Kim Sung-Bin · Arda Senocak · Hyunwoo Ha · Andrew Owens · Tae-Hyun Oh	N/A	Code
Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup	Junyoung Byun · Myung-Joon Kwon · Seungju Cho · Yoonji Kim · Changick Kim	N/A	Code
Initialization Noise in Image Gradients and Saliency Maps	Ann-Christin Woerl · Jan Disselhoff · Michael Wand	N/A	Code
Two-Shot Video Object Segmentation	Kun Yan · Xiao Li · Fangyun Wei · Jinglu Wang · Chenbin Zhang · Ping Wang · Yan Lu	N/A	Code
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow	Itai Lang · Dror Aiger · Forrester Cole · Shai Avidan · Michael Rubinstein	N/A	Code
Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM	Hengyi Wang · Jingwen Wang · Lourdes Agapito	N/A	Code
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation	Shuting He · Henghui Ding · Wei Jiang	N/A	Code
Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments	Masakazu Yoshimura · Junji Otsuka · Atsushi Irie · Takeshi Ohashi	N/A	Code
Diffusion-Based Signed Distance Fields for 3D Shape Generation	Jaehyeok Shim · Changwoo Kang · Kyungdon Joo	N/A	Code
Handwritten Text Generation From Visual Archetypes	Vittorio Pippi · Silvia Cascianelli · Rita Cucchiara	N/A	Code
Novel Class Discovery for 3D Point Cloud Semantic Segmentation	Luigi Riz · Cristiano Saltori · Elisa Ricci · Fabio Poiesi	N/A	Code
DeltaEdit: Exploring Text-Free Training for Text-Driven Image Manipulation	Yueming Lyu · Tianwei Lin · Fu Li · Dongliang He · Jing Dong · Tieniu Tan	N/A	Code
SkyEye: Self-Supervised Bird’s-Eye-View Semantic Mapping Using Monocular Frontal View Images	Nikhil Gosala · Kürsat Petek · Paulo L. J. Drews-Jr · Wolfram Burgard · Abhinav Valada	N/A	Code
Towards Open-World Segmentation of Parts	Tai-Yu Pan · Qing Liu · Wei-Lun Chao · Brian Price	N/A	Code
DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization	Chao Chen · Xinhao Liu · Yiming Li · Li Ding · Chen Feng	N/A	Code
SINE: SINgle Image Editing With Text-to-Image Diffusion Models	Zhixing Zhang · Ligong Han · Arnab Ghosh · Dimitris N. Metaxas · Jian Ren	N/A	Code
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection	Long Li · Junwei Han · Ni Zhang · Nian Liu · Salman Khan · Hisham Cholakkal · Rao Muhammad Anwer · Fahad Shahbaz Khan	N/A	Code
TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization	Fabrizio Guillaro · Davide Cozzolino · Avneesh Sud · Nicholas Dufour · Luisa Verdoliva	N/A	Code
SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction	Yukang Cao · Kai Han · Kwan-Yee K. Wong	N/A	Code
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings	Daniel J. Trosten · Rwiddhi Chakraborty · Sigurd Løkse · Kristoffer Knutsen Wickstrøm · Robert Jenssen · Michael C. Kampffmeyer	N/A	Code
MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis	Tianhong Li · Huiwen Chang · Shlok Mishra · Han Zhang · Dina Katabi · Dilip Krishnan	N/A	Code
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection	Lianyu Wang · Meng Wang · Daoqiang Zhang · Huazhu Fu	N/A	Code
OvarNet: Towards Open-Vocabulary Object Attribute Recognition	Keyan Chen · Xiaolong Jiang · Yao Hu · Xu Tang · Yan Gao · Jianqi Chen · Weidi Xie	N/A	Code
GINA-3D: Learning To Generate Implicit Neural Assets in the Wild	Bokui Shen · Xinchen Yan · Charles R. Qi · Mahyar Najibi · Boyang Deng · Leonidas Guibas · Yin Zhou · Dragomir Anguelov	N/A	Code
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation	Qitao Zhao · Ce Zheng · Mengyuan Liu · Pichao Wang · Chen Chen	N/A	Code
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization	Huan Ren · Wenfei Yang · Tianzhu Zhang · Yongdong Zhang	N/A	Code
Learning Partial Correlation Based Deep Visual Representation for Image Classification	Saimunur Rahman · Piotr Koniusz · Lei Wang · Luping Zhou · Peyman Moghadam · Changming Sun	N/A	Code
Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph	Rixin Zhou · Jiafu Wei · Qian Zhang · Ruihua Qi · Xi Yang · Chuntao Li	N/A	Code
DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects	Chen Bao · Helin Xu · Yuzhe Qin · Xiaolong Wang	N/A	Code
Modeling the Distributional Uncertainty for Salient Object Detection Models	Xinyu Tian · Jing Zhang · Mochu Xiang · Yuchao Dai	N/A	Code
Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces	Fahad Shamshad · Koushik Srivatsan · Karthik Nandakumar	N/A	Code
Scene-Aware Egocentric 3D Human Pose Estimation	Jian Wang · Diogo Luvizon · Weipeng Xu · Lingjie Liu · Kripasindhu Sarkar · Christian Theobalt	N/A	Code
Camouflaged Instance Segmentation via Explicit De-Camouflaging	Naisong Luo · Yuwen Pan · Rui Sun · Tianzhu Zhang · Zhiwei Xiong · Feng Wu	N/A	Code
N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution	Haram Choi · Jeongmin Lee · Jihoon Yang	N/A	Code
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding	Gyeongman Kim · Hajin Shim · Hyunsu Kim · Yunjey Choi · Junho Kim · Eunho Yang	N/A	Code
GLIGEN: Open-Set Grounded Text-to-Image Generation	Yuheng Li · Haotian Liu · Qingyang Wu · Fangzhou Mu · Jianwei Yang · Jianfeng Gao · Chunyuan Li · Yong Jae Lee	N/A	Code
Balanced Spherical Grid for Egocentric View Synthesis	Changwoon Choi · Sang Min Kim · Young Min Kim	N/A	Code
V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception	Runsheng Xu · Xin Xia · JINLONG LI · Hanzhao Li · Shuo Zhang · Zhengzhong Tu · Zonglin Meng · Hao Xiang · Xiaoyu Dong · Rui Song · Hongkai Yu · Bolei Zhou · Jiaqi Ma	N/A	Code
VindLU: A Recipe for Effective Video-and-Language Pretraining	Feng Cheng · Xizi Wang · Jie Lei · David Crandall · Mohit Bansal · Gedas Bertasius	N/A	Code
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation	Jie Qin · Jie Wu · Pengxiang Yan · Ming Li · Ren Yuxi · Xuefeng Xiao · Yitong Wang · Rui Wang · Shilei Wen · Xin Pan · Xingang Wang	N/A	Code
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization	Zhixiang Min · Bingbing Zhuang · Samuel Schulter · Buyu Liu · Enrique Dunn · Manmohan Chandraker	N/A	Code
ABCD: Arbitrary Bitwise Coefficient for De-Quantization	Woo Kyoung Han · Byeonghun Lee · Sang Hyun Park · Kyong Hwan Jin	N/A	Code
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery	Sheng Zhang · Salman Khan · Zhiqiang Shen · Muzammal Naseer · Guangyi Chen · Fahad Shahbaz Khan	N/A	Code
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives	Chuntao Ding · Zhichao Lu · Shangguang Wang · Ran Cheng · Vishnu Naresh Boddeti	N/A	Code
MaPLe: Multi-Modal Prompt Learning	Muhammad Uzair Khattak · Hanoona Rasheed · Muhammad Maaz · Salman Khan · Fahad Shahbaz Khan	N/A	Code
Revisiting Residual Networks for Adversarial Robustness	Shihua Huang · Zhichao Lu · Kalyanmoy Deb · Vishnu Naresh Boddeti	N/A	Code
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification	Youngwook Kim · Jae Myung Kim · Jieun Jeong · Cordelia Schmid · Zeynep Akata · Jungwoo Lee	N/A	Code
Human Pose Estimation in Extremely Low-Light Conditions	Sohyun Lee · Jaesung Rim · Boseung Jeong · Geonu Kim · Byungju Woo · Haechan Lee · Sunghyun Cho · Suha Kwak	N/A	Code
Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution	Chenfan Qu · Chongyu Liu · Yuliang Liu · Xinhong Chen · Dezhi Peng · Fengjun Guo · Lianwen Jin	N/A	Code
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene	Minjung Son · Jeong Joon Park · Leonidas Guibas · Gordon Wetzstein	N/A	Code
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms	Qiuhong Anna Wei · Sijie Ding · Jeong Joon Park · Rahul Sajnani · Adrien Poulenard · Srinath Sridhar · Leonidas Guibas	N/A	Code
MACARONS: Mapping and Coverage Anticipation With RGB Online Self-Supervision	Antoine Guédon · Tom Monnier · Pascal Monasse · Vincent Lepetit	N/A	Code
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction	Zhen Wang · Shijie Zhou · Jeong Joon Park · Despoina Paschalidou · Suya You · Gordon Wetzstein · Leonidas Guibas · Achuta Kadambi	N/A	Code
Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos	Rohit Gupta · Anirban Roy · Claire Christensen · Sujeong Kim · Sarah Gerard · Madeline Cincebeaux · Ajay Divakaran · Todd Grindal · Mubarak Shah	N/A	Code
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network	Xuan Shen · Yaohua Wang · Ming Lin · Yilun Huang · Hao Tang · Xiuyu Sun · Yanzhi Wang	N/A	Code
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects	Marco Toschi · Riccardo De Matteo · Riccardo Spezialetti · Daniele De Gregorio · Luigi Di Stefano · Samuele Salti	N/A	Code
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields	Brian K. S. Isaac-Medina · Chris G. Willcocks · Toby P. Breckon	N/A	Code
A Generalized Framework for Video Instance Segmentation	Miran Heo · Sukjun Hwang · Jeongseok Hyun · Hanjung Kim · Seoung Wug Oh · Joon-Young Lee · Seon Joo Kim	N/A	Code
Video Probabilistic Diffusion Models in Projected Latent Space	Sihyun Yu · Kihyuk Sohn · Subin Kim · Jinwoo Shin	N/A	Code
X-Avatar: Expressive Human Avatars	Kaiyue Shen · Chen Guo · Manuel Kaufmann · Juan Jose Zarate · Julien Valentin · Jie Song · Otmar Hilliges	N/A	Code
Hi4D: 4D Instance Segmentation of Close Human Interaction	Yifei Yin · Chen Guo · Manuel Kaufmann · Juan Jose Zarate · Jie Song · Otmar Hilliges	N/A	Code
Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction	Bin Fan · Yuxin Mao · Mochu Xiang · Zhexiong Wan · Qi Liu	N/A	Code
Vita-CLIP: Video and Text Adaptive CLIP via Multimodal Prompting	Syed Talal Wasim · Muzammal Naseer · Salman Khan · Fahad Shahbaz Khan · Mubarak Shah	N/A	Code
MaskSketch: Unpaired Structure-Guided Masked Image Generation	Dina Bashkirova · José Lezama · Kihyuk Sohn · Kate Saenko · Irfan Essa	N/A	Code
Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning	Zhuowan Li · Xingrui Wang · Elias Stengel-Eskin · Adam Kortylewski · Wufei Ma · Benjamin Van Durme · Alan L. Yuille	N/A	Code
CREPE: Can Vision-Language Foundation Models Reason Compositionally?	Zixian Ma · Jerry Hong · Mustafa Omer Gul · Mona Gandhi · Irena Gao · Ranjay Krishna	N/A	Code
ORCa: Glossy Objects As Radiance-Field Cameras	Kushagra Tiwary · Akshat Dave · Nikhil Behari · Tzofi Klinghoffer · Ashok Veeraraghavan · Ramesh Raskar	N/A	Code
Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems	Yangyang Shu · Anton van den Hengel · Lingqiao Liu	N/A	Code
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving	Ben Agro · Quinlan Sykora · Sergio Casas · Raquel Urtasun	N/A	Code
Improved Test-Time Adaptation for Domain Generalization	Liang Chen · Yong Zhang · Yibing Song · Ying Shan · Lingqiao Liu	N/A	Code
Wavelet Diffusion Models Are Fast and Scalable Image Generators	Hao Phung · Quan Dao · Anh Tran	N/A	Code
Robust Dynamic Radiance Fields	Yu-Lun Liu · Chen Gao · Andréas Meuleman · Hung-Yu Tseng · Ayush Saraf · Changil Kim · Yung-Yu Chuang · Johannes Kopf · Jia-Bin Huang	N/A	Code
MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation	Simon Suo · Kelvin Wong · Justin Xu · James Tu · Alexander Cui · Sergio Casas · Raquel Urtasun	N/A	Code
Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement	Nancy Mehta · Akshay Dudhane · Subrahmanyam Murala · Syed Waqas Zamir · Salman Khan · Fahad Shahbaz Khan	N/A	Code
Class Adaptive Network Calibration	Bingyuan Liu · Jérôme Rony · Adrian Galdran · Jose Dolz · Ismail Ben Ayed	N/A	Code
PROB: Probabilistic Objectness for Open World Object Detection	Orr Zohar · Kuan-Chieh Wang · Serena Yeung	N/A	Code
Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation	Min Shi · Zihao Huang · Xianzheng Ma · Xiaowei Hu · Zhiguo Cao	N/A	Code
HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering	Bang-Dang Pham · Phong Tran · Anh Tran · Cuong Pham · Rang Nguyen · Minh Hoai	N/A	Code
On the Effects of Self-Supervision and Contrastive Alignment in Deep Multi-View Clustering	Daniel J. Trosten · Sigurd Løkse · Robert Jenssen · Michael C. Kampffmeyer	N/A	Code
Visual Prompt Tuning for Generative Transfer Learning	Kihyuk Sohn · Huiwen Chang · José Lezama · Luisa Polania · Han Zhang · Yuan Hao · Irfan Essa · Lu Jiang	N/A	Code
Towards End-to-End Generative Modeling of Long Videos With Memory-Efficient Bidirectional Transformers	Jaehoon Yoo · Semin Kim · Doyup Lee · Chiheon Kim · Seunghoon Hong	N/A	Code
MAGVIT: Masked Generative Video Transformer	Lijun Yu · Yong Cheng · Kihyuk Sohn · José Lezama · Han Zhang · Huiwen Chang · Alexander G. Hauptmann · Ming-Hsuan Yang · Yuan Hao · Irfan Essa · Lu Jiang	N/A	Code
NICO++: Towards Better Benchmarking for Domain Generalization	Xingxuan Zhang · Yue He · Renzhe Xu · Han Yu · Zheyan Shen · Peng Cui	N/A	Code
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization	Xingxuan Zhang · Renzhe Xu · Han Yu · Hao Zou · Peng Cui	N/A	Code
All-in-Focus Imaging From Event Focal Stack	Hanyue Lou · Minggui Teng · Yixin Yang · Boxin Shi	N/A	Code
Clover: Towards a Unified Video-Language Alignment and Fusion Model	Jingjia Huang · Yinan Li · Jiashi Feng · Xinglong Wu · Xiaoshuai Sun · Rongrong Ji	N/A	Code
UMat: Uncertainty-Aware Single Image High Resolution Material Capture	Carlos Rodriguez-Pardo · Henar Domínguez-Elvira · David Pascual-Hernández · Elena Garces	N/A	Code
Polarimetric iToF: Measuring High-Fidelity Depth Through Scattering Media	Daniel S. Jeon · Andréas Meuleman · Seung-Hwan Baek · Min H. Kim	N/A	Code
Freestyle Layout-to-Image Synthesis	Han Xue · Zhiwu Huang · Qianru Sun · Li Song · Wenjun Zhang	N/A	Code
Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior	Yuekun Dai · Yihang Luo · Shangchen Zhou · Chongyi Li · Chen Change Loy	N/A	Code
Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn	Ondrej Bohdal · Yinbing Tian · Yongshuo Zong · Ruchika Chavhan · Da Li · Henry Gouk · Li Guo · Timothy Hospedales	N/A	Code
EXCALIBUR: Encouraging and Evaluating Embodied Exploration	Hao Zhu · Raghav Kapoor · So Yeon Min · Winson Han · Jiatai Li · Kaiwen Geng · Graham Neubig · Yonatan Bisk · Aniruddha Kembhavi · Luca Weihs	N/A	Code
Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns	Bartłomiej Olber · Krystian Radlak · Adam Popowicz · Michal Szczepankiewicz · Krystian Chachuła	N/A	Code
Shakes on a Plane: Unsupervised Depth Estimation From Unstabilized Photography	Ilya Chugunov · Yuxuan Zhang · Felix Heide	N/A	Code
JacobiNeRF: NeRF Shaping With Mutual Information Gradients	Xiaomeng Xu · Yanchao Yang · Kaichun Mo · Boxiao Pan · Li Yi · Leonidas Guibas	N/A	Code
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers	Jihao Liu · Xin Huang · Jinliang Zheng · Yu Liu · Hongsheng Li	N/A	Code
Synthesizing Photorealistic Virtual Humans Through Cross-Modal Disentanglement	Siddarth Ravichandran · Ondřej Texler · Dimitar Dinev · Hyun Jae Kang	N/A	Code
CIMI4D: A Large Multimodal Climbing Motion Dataset Under Human-Scene Interactions	Ming Yan · Xin Wang · Yudi Dai · Siqi Shen · Chenglu Wen · Lan Xu · Yuexin Ma · Cheng Wang	N/A	Code
SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments	Yudi Dai · Yitai Lin · Xiping Lin · Chenglu Wen · Lan Xu · Hongwei Yi · Siqi Shen · Yuexin Ma · Cheng Wang	N/A	Code
Viewpoint Equivariance for Multi-View 3D Object Detection	Dian Chen · Jie Li · Vitor Guizilini · Rares Andrei Ambrus · Adrien Gaidon	N/A	Code
Balanced Product of Calibrated Experts for Long-Tailed Recognition	Emanuel Sanchez Aimar · Arvi Jonnarth · Michael Felsberg · Marco Kuhlmann	N/A	Code
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation	Mario Döbler · Robert A. Marsden · Bin Yang	N/A	Code
Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation	Sara Sarto · Manuele Barraco · Marcella Cornia · Lorenzo Baraldi · Rita Cucchiara	N/A	Code
BITE: Beyond Priors for Improved Three-D Dog Pose Estimation	Nadine Rüegg · Shashank Tripathi · Konrad Schindler · Michael J. Black · Silvia Zuffi	N/A	Code
SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction	Zhizhuo Zhou · Shubham Tulsiani	N/A	Code
PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation	Liwen Zhang · Xinyan Zhang · Youcheng Zhang · Yufei Guo · Yuanpei Chen · Xuhui Huang · Zhe Ma	N/A	Code
Masked Wavelet Representation for Compact Neural Radiance Fields	Daniel Rho · Byeonghyeon Lee · Seungtae Nam · Joo Chan Lee · Jong Hwan Ko · Eunbyung Park	N/A	Code
Guided Depth Super-Resolution by Deep Anisotropic Diffusion	Nando Metzger · Rodrigo Caye Daudt · Konrad Schindler	N/A	Code
Masked Images Are Counterfactual Samples for Robust Fine-Tuning	Yao Xiao · Ziyi Tang · Pengxu Wei · Cong Liu · Liang Lin	N/A	Code
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration	Guofeng Mei · Hao Tang · Xiaoshui Huang · Weijie Wang · Juan Liu · Jian Zhang · Luc Van Gool · Qiang Wu	N/A	Code
ECON: Explicit Clothed Humans Optimized via Normal Integration	Yuliang Xiu · Jinlong Yang · Xu Cao · Dimitrios Tzionas · Michael J. Black	N/A	Code
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection	Xixi Liu · Yaroslava Lochman · Christopher Zach	N/A	Code
OCTET: Object-Aware Counterfactual Explanations	Mehdi Zemni · Mickaël Chen · Éloi Zablocki · Hédi Ben-Younes · Patrick Pérez · Matthieu Cord	N/A	Code
Consistent View Synthesis With Pose-Guided Diffusion Models	Hung-Yu Tseng · Qinbo Li · Changil Kim · Suhib Alsisan · Jia-Bin Huang · Johannes Kopf	N/A	Code
GFPose: Learning 3D Human Pose Prior With Gradient Fields	Hai Ci · Mingdong Wu · Wentao Zhu · Xiaoxuan Ma · Hao Dong · Fangwei Zhong · Yizhou Wang	N/A	Code
Bayesian Posterior Approximation With Stochastic Ensembles	Oleksandr Balabanov · Bernhard Mehlig · Hampus Linander	N/A	Code
Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image	Donggun Kim · Hyeonjoong Jang · Inchul Kim · Min H. Kim	N/A	Code
Octree Guided Unoriented Surface Reconstruction	Chamin Hewa Koneputugodage · Yizhak Ben-Shabat · Stephen Gould	N/A	Code
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning	Chia-Wen Kuo · Zsolt Kira	N/A	Code
SUDS: Scalable Urban Dynamic Scenes	Haithem Turki · Jason Y. Zhang · Francesco Ferroni · Deva Ramanan	N/A	Code
Harmonious Feature Learning for Interactive Hand-Object Pose Estimation	Zhifeng Lin · Changxing Ding · Huan Yao · Zengsheng Kuang · Shaoli Huang	N/A	Code
Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer	Agus Gunawan · Soo Ye Kim · Hyeonjun Sim · Jae-Ho Lee · Munchurl Kim	N/A	Code
Trainable Projected Gradient Method for Robust Fine-Tuning	Junjiao Tian · Zecheng He · Xiaoliang Dai · Chih-Yao Ma · Yen-Cheng Liu · Zsolt Kira	N/A	Code
OReX: Object Reconstruction From Planar Cross-Sections Using Neural Fields	Haim Sawdayee · Amir Vaxman · Amit H. Bermano	N/A	Code
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects	Nick Heppert · Zubair Irshad · Sergey Zakharov · Katherine Liu · Rares Andrei Ambrus · Jeannette Bohg · Abhinav Valada · Thomas Kollar	N/A	Code
ACR: Attention Collaboration-Based Regressor for Arbitrary Two-Hand Reconstruction	Zhengdi Yu · Shaoli Huang · Chen Fang · Toby P. Breckon · Jue Wang	N/A	Code
Perception and Semantic Aware Regularization for Sequential Confidence Calibration	Zhenghua Peng · Yu Luo · Tianshui Chen · Keke Xu · Shuangping Huang	N/A	Code
Crowd3D: Towards Hundreds of People Reconstruction From a Single Image	Hao Wen · Jing Huang · Huili Cui · Haozhe Lin · Yu-Kun Lai · Lu Fang · Kun Li	N/A	Code
ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation	Ziqin Zhou · Yinjie Lei · Bowen Zhang · Lingqiao Liu · Yifan Liu	N/A	Code
Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing	Xiaokun Sun · Qiao Feng · Xiongzheng Li · Jinsong Zhang · Yu-Kun Lai · Jingyu Yang · Kun Li	N/A	Code
Skinned Motion Retargeting With Residual Perception of Motion Semantics & Geometry	Jiaxu Zhang · Junwu Weng · Di Kang · Fang Zhao · Shaoli Huang · Xuefei Zhe · Linchao Bao · Ying Shan · Jue Wang · Zhigang Tu	N/A	Code
Unknown Sniffer for Object Detection: Don’t Turn a Blind Eye to Unknown Objects	Wenteng Liang · Feng Xue · Yihao Liu · Guofeng Zhong · Anlong Ming	N/A	Code
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving	Angelika Ando · Spyros Gidaris · Andrei Bursuc · Gilles Puy · Alexandre Boulch · Renaud Marlet	N/A	Code
3D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data	Libing Zeng · Lele Chen · Wentao Bao · Zhong Li · Yi Xu · Junsong Yuan · Nima Khademi Kalantari	N/A	Code
Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data	Paul Hager · Martin J. Menten · Daniel Rueckert	N/A	Code
JRDB-Pose: A Large-Scale Dataset for Multi-Person Pose Estimation and Tracking	Edward Vendrow · Tho Le · Jianfei Cai · Hamid Rezatofighi	N/A	Code
Consistent Direct Time-of-Flight Video Depth Super-Resolution	Zhanghao Sun · Wei Ye · Jinhui Xiong · Gyeongmin Choe · Jialiang Wang · Shuochen Su · Rakesh Ranjan	N/A	Code
Correlational Image Modeling for Self-Supervised Visual Pre-Training	Wei Li · Jiahao Xie · Chen Change Loy	N/A	Code
CelebV-Text: A Large-Scale Facial Text-Video Dataset	Jianhui Yu · Hao Zhu · Liming Jiang · Chen Change Loy · Weidong Cai · Wayne Wu	N/A	Code
Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning	Wei Ji · Renjie Liang · Zhedong Zheng · Wenqiao Zhang · Shengyu Zhang · Juncheng Li · Mengze Li · Tat-seng Chua	N/A	Code
Learning 3D Scene Priors With 2D Supervision	Yinyu Nie · Angela Dai · Xiaoguang Han · Matthias Nießner	N/A	Code
Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera	Ruicheng Feng · Chongyi Li · Huaijin Chen · Shuai Li · Jinwei Gu · Chen Change Loy	N/A	Code
Siamese DETR	Zeren Chen · Gengshi Huang · Wei Li · Jianing Teng · Kun Wang · Jing Shao · Chen Change Loy · Lu Sheng	N/A	Code
Panoptic Video Scene Graph Generation	Jingkang Yang · Wenxuan Peng · Xiangtai Li · Zujin Guo · Liangyu Chen · Bo Li · Zheng Ma · Kaiyang Zhou · Wayne Zhang · Chen Change Loy · Ziwei Liu	N/A	Code
Randomized Adversarial Training via Taylor Expansion	Gaojie Jin · Xinping Yi · Dengyu Wu · Ronghui Mu · Xiaowei Huang	N/A	Code
Task Residual for Tuning Vision-Language Models	Tao Yu · Zhihe Lu · Xin Jin · Zhibo Chen · Xinchao Wang	N/A	Code
PACO: Parts and Attributes of Common Objects	Vignesh Ramanathan · Anmol Kalia · Vladan Petrovic · Yi Wen · Baixue Zheng · Baishan Guo · Rui Wang · Aaron Marquez · Rama Kovvuri · Abhishek Kadian · Amir Mousavi · Yiwen Song · Abhimanyu Dubey · Dhruv Mahajan	N/A	Code
CloSET: Modeling Clothed Humans on Continuous Surface With Explicit Template Decomposition	Hongwen Zhang · Siyou Lin · Ruizhi Shao · Yuxiang Zhang · Zerong Zheng · Han Huang · Yandong Guo · Yebin Liu	N/A	Code
Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement	Hao Zhu · Piotr Koniusz	N/A	Code
DualVector: Unsupervised Vector Font Synthesis With Dual-Part Representation	Ying-Tian Liu · Zhifei Zhang · Yuan-Chen Guo · Matthew Fisher · Zhaowen Wang · Song-Hai Zhang	N/A	Code
Invertible Neural Skinning	Yash Kant · Aliaksandr Siarohin · Riza Alp Guler · Menglei Chai · Jian Ren · Sergey Tulyakov · Igor Gilitschenski	N/A	Code
Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars	Jingxiang Sun · Xuan Wang · Lizhen Wang · Xiaoyu Li · Yong Zhang · Hongwen Zhang · Yebin Liu	N/A	Code
Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding	Morris Alper · Michael Fiman · Hadar Averbuch-Elor	N/A	Code
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning	James Seale Smith · Paola Cascante-Bonilla · Assaf Arbelle · Donghyun Kim · Rameswar Panda · David Cox · Diyi Yang · Zsolt Kira · Rogerio Feris · Leonid Karlinsky	N/A	Code
LINe: Out-of-Distribution Detection by Leveraging Important Neurons	Yong Hyun Ahn · Gyeong-Moon Park · Seong Tae Kim	N/A	Code
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models	Zhiqiu Lin · Samuel Yu · Zhiyi Kuang · Deepak Pathak · Deva Ramanan	N/A	Code
Panoptic Lifting for 3D Scene Understanding With Neural Fields	Yawar Siddiqui · Lorenzo Porzi · Samuel Rota Bulò · Norman Müller · Matthias Nießner · Angela Dai · Peter Kontschieder	N/A	Code
GamutMLP: A Lightweight MLP for Color Loss Recovery	Hoang M. Le · Brian Price · Scott Cohen · Michael S. Brown	N/A	Code
DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction	Dae-Young Song · HeeKyung Lee · Jeongil Seo · Donghyeon Cho	N/A	Code
NLOST: Non-Line-of-Sight Imaging With Transformer	Yue Li · Jiayong Peng · Juntian Ye · Yueyi Zhang · Feihu Xu · Zhiwei Xiong	N/A	Code
SeaThru-NeRF: Neural Radiance Fields in Scattering Media	Deborah Levy · Amit Peleg · Naama Pearl · Dan Rosenbaum · Derya Akkaynak · Simon Korman · Tali Treibitz	N/A	Code
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild	Garrick Brazil · Abhinav Kumar · Julian Straub · Nikhila Ravi · Justin Johnson · Georgia Gkioxari	N/A	Code
Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection	Chuangchuang Tan · Yao Zhao · Shikui Wei · Guanghua Gu · Yunchao Wei	N/A	Code
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation	Naoto Inoue · Kotaro Kikuchi · Edgar Simo-Serra · Mayu Otani · Kota Yamaguchi	N/A	Code
Learning Customized Visual Models With Retrieval-Augmented Knowledge	Haotian Liu · Kilho Son · Jianwei Yang · Ce Liu · Jianfeng Gao · Yong Jae Lee · Chunyuan Li	N/A	Code
MAIR: Multi-View Attention Inverse Rendering With 3D Spatially-Varying Lighting Estimation	JunYong Choi · SeokYeong Lee · Haesol Park · Seung-Won Jung · Ig-Jae Kim · Junghyun Cho	N/A	Code
Generalizing Dataset Distillation via Deep Generative Prior	George Cazenavette · Tongzhou Wang · Antonio Torralba · Alexei A. Efros · Jun-Yan Zhu	N/A	Code
Polarized Color Image Denoising	Zhuoxiao Li · Haiyang Jiang · Mingdeng Cao · Yinqiang Zheng	N/A	Code
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation	Haochen Wang · Xiaodan Du · Jiahao Li · Raymond A. Yeh · Greg Shakhnarovich	N/A	Code
FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs	Luke Rowe · Martin Ethier · Eli-Henry Dykhne · Krzysztof Czarnecki	N/A	Code
Mask-Free Video Instance Segmentation	Lei Ke · Martin Danelljan · Henghui Ding · Yu-Wing Tai · Chi-Keung Tang · Fisher Yu	N/A	Code
OVTrack: Open-Vocabulary Multiple Object Tracking	Siyuan Li · Tobias Fischer · Lei Ke · Henghui Ding · Martin Danelljan · Fisher Yu	N/A	Code
LightPainter: Interactive Portrait Relighting With Freehand Scribble	Yiqun Mei · He Zhang · Xuaner Zhang · Jianming Zhang · Zhixin Shu · Yilin Wang · Zijun Wei · Shi Yan · HyunJoon Jung · Vishal M. Patel	N/A	Code
Towards Scalable Neural Representation for Diverse Videos	Bo He · Xitong Yang · Hanyu Wang · Zuxuan Wu · Hao Chen · Shuaiyi Huang · Yixuan Ren · Ser-Nam Lim · Abhinav Shrivastava	N/A	Code
Teaching Matters: Investigating the Role of Supervision in Vision Transformers	Matthew Walmer · Saksham Suri · Kamal Gupta · Abhinav Shrivastava	N/A	Code
FlexNeRF: Photorealistic Free-Viewpoint Rendering of Moving Humans From Sparse Views	Vinoj Jayasundara · Amit Agrawal · Nicolas Heron · Abhinav Shrivastava · Larry S. Davis	N/A	Code
Leveraging Temporal Context in Low Representational Power Regimes	Camilo L. Fosco · SouYoung Jin · Emilie Josephs · Aude Oliva	N/A	Code
Painting 3D Nature in 2D: View Synthesis of Natural Scenes From a Single Semantic Mask	Shangzhan Zhang · Sida Peng · Tianrun Chen · Linzhan Mou · Haotong Lin · Kaicheng Yu · Yiyi Liao · Xiaowei Zhou	N/A	Code
Align and Attend: Multimodal Summarization With Dual Contrastive Losses	Bo He · Jun Wang · Jielin Qiu · Trung Bui · Abhinav Shrivastava · Zhaowen Wang	N/A	Code
SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network	Chuong Huynh · Yuqian Zhou · Zhe Lin · Connelly Barnes · Eli Shechtman · Sohrab Amirghodsi · Abhinav Shrivastava	N/A	Code
NIRVANA: Neural Implicit Representations of Videos With Adaptive Networks and Autoregressive Patch-Wise Modeling	Shishira R Maiya · Sharath Girish · Max Ehrlich · Hanyu Wang · Kwot Sin Lee · Patrick Poirson · Pengxiang Wu · Chen Wang · Abhinav Shrivastava	N/A	Code
Seeing Beyond the Brain: Conditional Diffusion Model With Sparse Masked Modeling for Vision Decoding	Zijiao Chen · Jiaxin Qing · Tiange Xiang · Wan Lin Yue · Juan Helen Zhou	N/A	Code
Position-Guided Text Prompt for Vision-Language Pre-Training	Jinpeng Wang · Pan Zhou · Mike Zheng Shou · Shuicheng Yan	N/A	Code
Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion Estimation	Xueyan Huang · Yueyi Zhang · Zhiwei Xiong	N/A	Code
MIST: Multi-Modal Iterative Spatial-Temporal Transformer for Long-Form Video Question Answering	Difei Gao · Luowei Zhou · Lei Ji · Linchao Zhu · Yi Yang · Mike Zheng Shou	N/A	Code
Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning	Tsai Hor Chan · Fernando Julio Cendra · Lan Ma · Guosheng Yin · Lequan Yu	N/A	Code
Making Vision Transformers Efficient From a Token Sparsification View	Shuning Chang · Pichao Wang · Ming Lin · Fan Wang · David Junhao Zhang · Rong Jin · Mike Zheng Shou	N/A	Code
Leverage Interactive Affinity for Affordance Learning	Hongchen Luo · Wei Zhai · Jing Zhang · Yang Cao · Dacheng Tao	N/A	Code
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection	Fan Lu · Kai Zhu · Wei Zhai · Kecheng Zheng · Yang Cao	N/A	Code
HARP: Personalized Hand Reconstruction From a Monocular RGB Video	Korrawe Karunratanakul · Sergey Prokudin · Otmar Hilliges · Siyu Tang	N/A	Code
Towards Effective Visual Representations for Partial-Label Learning	Shiyu Xia · Jiaqi Lv · Ning Xu · Gang Niu · Xin Geng	N/A	Code
SFD2: Semantic-Guided Feature Detection and Description	Fei Xue · Ignas Budvytis · Roberto Cipolla	N/A	Code
MetaPortrait: Identity-Preserving Talking Head Generation With Fast Personalized Adaptation	Bowen Zhang · Chenyang Qi · Pan Zhang · Bo Zhang · HsiangTao Wu · Dong Chen · Qifeng Chen · Yong Wang · Fang Wen	N/A	Code
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training	Gi-Cheon Kang · Sungdong Kim · Jin-Hwa Kim · Donghyun Kwak · Byoung-Tak Zhang	N/A	Code
Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields	Sungheon Park · Minjung Son · Seokhwan Jang · Young Chun Ahn · Ji-Yeon Kim · Nahyup Kang	N/A	Code
DiGA: Distil To Generalize and Then Adapt for Domain Adaptive Semantic Segmentation	Fengyi Shen · Akhil Gurram · Ziyuan Liu · He Wang · Alois Knoll	N/A	Code
Multimodal Prompting With Missing Modalities for Visual Recognition	Yi-Lun Lee · Yi-Hsuan Tsai · Wei-Chen Chiu · Chen-Yu Lee	N/A	Code
On Calibrating Semantic Segmentation Models: Analyses and an Algorithm	Dongdong Wang · Boqing Gong · Liqiang Wang	N/A	Code
IMP: Iterative Matching and Pose Estimation With Adaptive Pooling	Fei Xue · Ignas Budvytis · Roberto Cipolla	N/A	Code
Grid-Guided Neural Radiance Fields for Large Urban Scenes	Linning Xu · Yuanbo Xiangli · Sida Peng · Xingang Pan · Nanxuan Zhao · Christian Theobalt · Bo Dai · Dahua Lin	N/A	Code
Neural Voting Field for Camera-Space 3D Hand Pose Estimation	Lin Huang · Chung-Ching Lin · Kevin Lin · Lin Liang · Lijuan Wang · Junsong Yuan · Zicheng Liu	N/A	Code
Dense Network Expansion for Class Incremental Learning	Zhiyuan Hu · Yunsheng Li · Jiancheng Lyu · Dashan Gao · Nuno Vasconcelos	N/A	Code
FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre-Training	Yunpeng Han · Lisai Zhang · Qingcai Chen · Zhijian Chen · Zhonghua Li · Jianxin Yang · Zhao Cao	N/A	Code
Batch Model Consolidation: A Multi-Task Model Consolidation Framework	Iordanis Fostiropoulos · Jiaye Zhu · Laurent Itti	N/A	Code
Open-Vocabulary Attribute Detection	María A. Bravo · Sudhanshu Mittal · Simon Ging · Thomas Brox	N/A	Code
Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models	Nithin Gopalakrishnan Nair · Wele Gedara Chaminda Bandara · Vishal M. Patel	N/A	Code
BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection	Lei Yang · Kaicheng Yu · Tao Tang · Jun Li · Kun Yuan · Li Wang · Xinyu Zhang · Peng Chen	N/A	Code
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization	Chen Zhao · Shuming Liu · Karttikeya Mangalam · Bernard Ghanem	N/A	Code
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation	Nazmul Karim · Niluthpol Chowdhury Mithun · Abhinav Rajvanshi · Han-pang Chiu · Supun Samarasekera · Nazanin Rahnavard	N/A	Code
Are Deep Neural Networks SMARTer Than Second Graders?	Anoop Cherian · Kuan-Chuan Peng · Suhas Lohit · Kevin A. Smith · Joshua B. Tenenbaum	N/A	Code
Persistent Nature: A Generative Model of Unbounded 3D Worlds	Lucy Chai · Richard Tucker · Zhengqi Li · Phillip Isola · Noah Snavely	N/A	Code
InternImage: Exploring Large-Scale Vision Foundation Models With Deformable Convolutions	Wenhai Wang · Jifeng Dai · Zhe Chen · Zhenhang Huang · Zhiqi Li · Xizhou Zhu · Xiaowei Hu · Tong Lu · Lewei Lu · Hongsheng Li · Xiaogang Wang · Yu Qiao	N/A	Code
Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes	Rui Li · Dong Gong · Wei Yin · Hao Chen · Yu Zhu · Kaixuan Wang · Xiaozhi Chen · Jinqiu Sun · Yanning Zhang	N/A	Code
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets	Mingu Kang · Heon Song · Seonwook Park · Donggeun Yoo · Sérgio Pereira	N/A	Code
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions	Shuxuan Guo · Yinlin Hu · Jose M. Alvarez · Mathieu Salzmann	N/A	Code
Self-Supervised Representation Learning for CAD	Benjamin T. Jones · Michael Hu · Milin Kodnongbua · Vladimir G. Kim · Adriana Schulz	N/A	Code
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer	Xuanyao Chen · Zhijian Liu · Haotian Tang · Li Yi · Hang Zhao · Song Han	N/A	Code
Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views	Aayush Bansal · Michael Zollhöfer	N/A	Code
ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries	Junru Gu · Chenxu Hu · Tianyuan Zhang · Xuanyao Chen · Yilun Wang · Yue Wang · Hang Zhao	N/A	Code
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders	Wele Gedara Chaminda Bandara · Naman Patel · Ali Gholami · Mehdi Nikkhah · Motilal Agrawal · Vishal M. Patel	N/A	Code
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning	Xiaoyang Wu · Xin Wen · Xihui Liu · Hengshuang Zhao	N/A	Code
RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer	Jiahao Wang · Songyang Zhang · Yong Liu · Taiqiang Wu · Yujiu Yang · Xihui Liu · Kai Chen · Ping Luo · Dahua Lin	N/A	Code
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation	Devavrat Tomar · Guillaume Vray · Behzad Bozorgtabar · Jean-Philippe Thiran	N/A	Code
ObjectMatch: Robust Registration Using Canonical Object Correspondences	Can Gümeli · Angela Dai · Matthias Nießner	N/A	Code
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models	Jiale Xu · Xintao Wang · Weihao Cheng · Yan-Pei Cao · Ying Shan · Xiaohu Qie · Shenghua Gao	N/A	Code
SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes	Yiming Gao · Yan-Pei Cao · Ying Shan	N/A	Code
Object Detection With Self-Supervised Scene Adaptation	Zekun Zhang · Minh Hoai	N/A	Code
Megahertz Light Steering Without Moving Parts	Adithya Pediredla · Srinivasa G. Narasimhan · Maysamreza Chamanzar · Ioannis Gkioulekas	N/A	Code
ISBNet: A 3D Point Cloud Instance Segmentation Network With Instance-Aware Sampling and Box-Aware Dynamic Convolution	Tuan Duc Ngo · Binh-Son Hua · Khoi Nguyen	N/A	Code
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks	Tong Bu · Jianhao Ding · Zecheng Hao · Zhaofei Yu	N/A	Code
PIVOT: Prompting for Video Continual Learning	Andrés Villa · Juan León Alcázar · Motasem Alfarra · Kumail Alhamoud · Julio Hurtado · Fabian Caba Heilbron · Alvaro Soto · Bernard Ghanem	N/A	Code
ARO-Net: Learning Implicit Fields From Anchored Radial Observations	Yizhi Wang · Zeyu Huang · Ariel Shamir · Hui Huang · Hao Zhang · Ruizhen Hu	N/A	Code
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems	Hyungjin Chung · Jeongsol Kim · Sehui Kim · Jong Chul Ye	N/A	Code
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models	Hyungjin Chung · Dohoon Ryu · Michael T. McCann · Marc L. Klasky · Jong Chul Ye	N/A	Code
Affordance Grounding From Demonstration Video To Target Image	Joya Chen · Difei Gao · Kevin Qinghong Lin · Mike Zheng Shou	N/A	Code
Learning Procedure-Aware Video Representation From Instructional Videos and Their Narrations	Yiwu Zhong · Licheng Yu · Yang Bai · Shangwen Li · Xueting Yan · Yin Li	N/A	Code
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors	Chien-Yao Wang · Alexey Bochkovskiy · Hong-Yuan Mark Liao	N/A	Code
OmniCity: Omnipotent City Understanding With Multi-Level and Multi-View Images	Weijia Li · Yawen Lai · Linning Xu · Yuanbo Xiangli · Jinhua Yu · Conghui He · Gui-Song Xia · Dahua Lin	N/A	Code
Object Discovery From Motion-Guided Tokens	Zhipeng Bao · Pavel Tokmakov · Yu-Xiong Wang · Adrien Gaidon · Martial Hebert	N/A	Code
MP-Former: Mask-Piloted Transformer for Image Segmentation	Hao Zhang · Feng Li · Huaizhe Xu · Shijia Huang · Shilong Liu · Lionel M. Ni · Lei Zhang	N/A	Code
Disentangling Writer and Character Styles for Handwriting Generation	Gang Dai · Yifan Zhang · Qingfeng Wang · Qing Du · Zhuliang Yu · Zhuoman Liu · Shuangping Huang	N/A	Code
Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds	Shaowei Liu · Saurabh Gupta · Shenlong Wang	N/A	Code
Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues	Stefanie Walz · Mario Bijelic · Andrea Ramazzina · Amanpreet Walia · Fahim Mannan · Felix Heide	N/A	Code
Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation	Wei Wang · Zhun Zhong · Weijie Wang · Xi Chen · Charles Ling · Boyu Wang · Nicu Sebe	N/A	Code
Perspective Fields for Single Image Camera Calibration	Linyi Jin · Jianming Zhang · Yannick Hold-Geoffroy · Oliver Wang · Kevin Blackburn-Matzen · Matthew Sticha · David F. Fouhey	N/A	Code
Vision Transformers Are Parameter-Efficient Audio-Visual Learners	Yan-Bo Lin · Yi-Lin Sung · Jie Lei · Mohit Bansal · Gedas Bertasius	N/A	Code
Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos	Yubin Hu · Yuze He · Yanghao Li · Jisheng Li · Yuxing Han · Jiangtao Wen · Yong-Jin Liu	N/A	Code
DisWOT: Student Architecture Search for Distillation WithOut Training	Peijie Dong · Lujun Li · Zimian Wei	N/A	Code
Activating More Pixels in Image Super-Resolution Transformer	Xiangyu Chen · Xintao Wang · Jiantao Zhou · Yu Qiao · Chao Dong	N/A	Code
You Only Segment Once: Towards Real-Time Panoptic Segmentation	Jie Hu · Linyan Huang · Tianhe Ren · Shengchuan Zhang · Rongrong Ji · Liujuan Cao	N/A	Code
PA&DA: Jointly Sampling Path and Data for Consistent NAS	Shun Lu · Yu Hu · Longxing Yang · Zihao Sun · Jilin Mei · Jianchao Tan · Chengru Song	N/A	Code
NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies	Xiaoxiao Long · Cheng Lin · Lingjie Liu · Yuan Liu · Peng Wang · Christian Theobalt · Taku Komura · Wenping Wang	N/A	Code
Towards Universal Fake Image Detectors That Generalize Across Generative Models	Utkarsh Ojha · Yuheng Li · Yong Jae Lee	N/A	Code
FLAG3D: A 3D Fitness Activity Dataset With Language Instruction	Yansong Tang · Jinpeng Liu · Aoyang Liu · Bin Yang · Wenxun Dai · Yongming Rao · Jiwen Lu · Jie Zhou · Xiu Li	N/A	Code
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction From Multi-View Images	Yunfan Ye · Renjiao Yi · Zhirui Gao · Chenyang Zhu · Zhiping Cai · Kai Xu	N/A	Code
Executing Your Commands via Motion Diffusion in Latent Space	Xin Chen · Biao Jiang · Wen Liu · Zilong Huang · Bin Fu · Tao Chen · Gang Yu	N/A	Code
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID	Jianyang Gu · Kai Wang · Hao Luo · Chen Chen · Wei Jiang · Yuqiang Fang · Shanghang Zhang · Yang You · Jian Zhao	N/A	Code
SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage	Yifan Wang · Aleksander Holynski · Xiuming Zhang · Xuaner Zhang	N/A	Code
IS-GGT: Iterative Scene Graph Generation With Generative Transformers	Sanjoy Kundu · Sathyanarayanan N. Aakur	N/A	Code
DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-Aware Scene Synthesis	Yinghao Xu · Menglei Chai · Zifan Shi · Sida Peng · Ivan Skorokhodov · Aliaksandr Siarohin · Ceyuan Yang · Yujun Shen · Hsin-Ying Lee · Bolei Zhou · Sergey Tulyakov	N/A	Code
Breaking the “Object” in Video Object Segmentation	Pavel Tokmakov · Jie Li · Adrien Gaidon	N/A	Code
SimpleNet: A Simple Network for Image Anomaly Detection and Localization	Zhikang Liu · Yiming Zhou · Yuansheng Xu · Zilei Wang	N/A	Code
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation	Lingting Zhu · Xian Liu · Xuanyu Liu · Rui Qian · Ziwei Liu · Lequan Yu	N/A	Code
Top-Down Visual Attention From Analysis by Synthesis	Baifeng Shi · Trevor Darrell · Xin Wang	N/A	Code
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation With Cross-Scale Distortion Awareness	Zhijie Shen · Zishuo Zheng · Chunyu Lin · Lang Nie · Kang Liao · Shuai Zheng · Yao Zhao	N/A	Code
Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation	Xiaolong Shen · Zongxin Yang · Xiaohan Wang · Jianxin Ma · Chang Zhou · Yi Yang	N/A	Code
RaBit: Parametric Modeling of 3D Biped Cartoon Characters With a Topological-Consistent Dataset	Zhongjin Luo · Shengcai Cai · Jinguo Dong · Ruibo Ming · Liangdong Qiu · Xiaohang Zhan · Xiaoguang Han	N/A	Code
Masked Image Modeling With Local Multi-Scale Reconstruction	Haoqing Wang · Yehui Tang · Yunhe Wang · Jianyuan Guo · Zhi-Hong Deng · Kai Han	N/A	Code
Omni Aggregation Networks for Lightweight Image Super-Resolution	Hang Wang · Xuanhong Chen · Bingbing Ni · Yutian Liu · Jinfan Liu	N/A	Code
TryOnDiffusion: A Tale of Two UNets	Luyang Zhu · Dawei Yang · Tyler Zhu · Fitsum Reda · William Chan · Chitwan Saharia · Mohammad Norouzi · Ira Kemelmacher-Shlizerman	N/A	Code
MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition	Xiang Wang · Shiwei Zhang · Zhiwu Qing · Changxin Gao · Yingya Zhang · Deli Zhao · Nong Sang	N/A	Code
Dynamic Aggregated Network for Gait Recognition	Kang Ma · Ying Fu · Dezhi Zheng · Chunshui Cao · Xuecai Hu · Yongzhen Huang	N/A	Code
Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution	Jiahao Chao · Zhou Zhou · Hongfan Gao · Jiali Gong · Zhengfeng Yang · Zhenbing Zeng · Lydia Dehbi	N/A	Code
Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination	Zimeng Zhao · Binghui Zuo · Zhiyu Long · Yangang Wang	N/A	Code
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields	Yu Chen · Gim Hee Lee	N/A	Code
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit	Xiaohang Wang · Xuanhong Chen · Bingbing Ni · Hang Wang · Zhengyan Tong · Yutian Liu	N/A	Code
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections	Jiaxiong Qiu · Peng-Tao Jiang · Yifan Zhu · Ze-Xin Yin · Ming-Ming Cheng · Bo Ren	N/A	Code
The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction	Alexandros Stergiou · Dima Damen	N/A	Code
Use Your Head: Improving Long-Tail Video Recognition	Toby Perrett · Saptarshi Sinha · Tilo Burghardt · Majid Mirmehdi · Dima Damen	N/A	Code
Large-Scale Training Data Search for Object Re-Identification	Yue Yao · Tom Gedeon · Liang Zheng	N/A	Code
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction	Guangyi Chen · Zhenhao Chen · Shunxing Fan · Kun Zhang	N/A	Code
Seeing a Rose in Five Thousand Ways	Yunzhi Zhang · Shangzhe Wu · Noah Snavely · Jiajun Wu	N/A	Code
EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points	Chengwei Zheng · Wenbin Lin · Feng Xu	N/A	Code
Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior	Xiaole Tang · Xile Zhao · Jun Liu · Jianli Wang · Yuchun Miao · Tieyong Zeng	N/A	Code
Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation	Shuting He · Henghui Ding · Wei Jiang	N/A	Code
Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation	Yan Jin · Mengke Li · Yang Lu · Yiu-ming Cheung · Hanzi Wang	N/A	Code
Neuron Structure Modeling for Generalizable Remote Physiological Measurement	Hao Lu · Zitong Yu · Xuesong Niu · Ying-Cong Chen	N/A	Code
Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains	Simon Reiß · Constantin Seibold · Alexander Freytag · Erik Rodner · Rainer Stiefelhagen	N/A	Code
Learning a Sparse Transformer Network for Effective Image Deraining	Xiang Chen · Hao Li · Mingqiang Li · Jinshan Pan	N/A	Code
Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction	Chunming He · Kai Li · Yachao Zhang · Longxiang Tang · Yulun Zhang · Zhenhua Guo · Xiu Li	N/A	Code
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding	Gen Li · Varun Jampani · Deqing Sun · Laura Sevilla-Lara	N/A	Code
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation	Nataniel Ruiz · Yuanzhen Li · Varun Jampani · Yael Pritch · Michael Rubinstein · Kfir Aberman	N/A	Code
GeneCIS: A Benchmark for General Conditional Image Similarity	Sagar Vaze · Nicolas Carion · Ishan Misra	N/A	Code
Neighborhood Attention Transformer	Ali Hassani · Steven Walton · Jiachen Li · Shen Li · Humphrey Shi	N/A	Code
3D-Aware Conditional Image Synthesis	Kangle Deng · Gengshan Yang · Deva Ramanan · Jun-Yan Zhu	N/A	Code
Magic3D: High-Resolution Text-to-3D Content Creation	Chen-Hsuan Lin · Jun Gao · Luming Tang · Towaki Takikawa · Xiaohui Zeng · Xun Huang · Karsten Kreis · Sanja Fidler · Ming-Yu Liu · Tsung-Yi Lin	N/A	Code
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity	Siyu Huang · Jie An · Donglai Wei · Jiebo Luo · Hanspeter Pfister	N/A	Code
SceneComposer: Any-Level Semantic Image Synthesis	Yu Zeng · Zhe Lin · Jianming Zhang · Qing Liu · John Collomosse · Jason Kuen · Vishal M. Patel	N/A	Code
Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style	Haoming Lu · Hazarapet Tunanyan · Kai Wang · Shant Navasardyan · Zhangyang Wang · Humphrey Shi	N/A	Code
In-Hand 3D Object Scanning From an RGB Sequence	Shreyas Hampali · Tomas Hodan · Luan Tran · Lingni Ma · Cem Keskin · Vincent Lepetit	N/A	Code
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds	Qing Li · Huifang Feng · Kanle Shi · Yue Gao · Yi Fang · Yu-Shen Liu · Zhizhong Han	N/A	Code
Advancing Visual Grounding With Scene Knowledge: Benchmark and Method	Zhihong Chen · Ruifei Zhang · Yibing Song · Xiang Wan · Guanbin Li	N/A	Code
Putting People in Their Place: Affordance-Aware Human Insertion Into Scenes	Sumith Kulal · Tim Brooks · Alex Aiken · Jiajun Wu · Jimei Yang · Jingwan Lu · Alexei A. Efros · Krishna Kumar Singh	N/A	Code
Identity-Preserving Talking Face Generation With Landmark and Appearance Priors	Weizhi Zhong · Chaowei Fang · Yinqi Cai · Pengxu Wei · Gangming Zhao · Liang Lin · Guanbin Li	N/A	Code
Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation	Li Li · Hubert P. H. Shum · Toby P. Breckon	N/A	Code
FAC: 3D Representation Learning via Foreground Aware Feature Contrast	Kangcheng Liu · Aoran Xiao · Xiaoqin Zhang · Shijian Lu · Ling Shao	N/A	Code
InstMove: Instance Motion for Object-Centric Video Segmentation	Qihao Liu · Junfeng Wu · Yi Jiang · Xiang Bai · Alan L. Yuille · Song Bai	N/A	Code
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark	Xiaofeng Wang · Zheng Zhu · Yunpeng Zhang · Guan Huang · Yun Ye · Wenbo Xu · Ziwei Chen · Xingang Wang	N/A	Code
Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring	Zhenxuan Fang · Fangfang Wu · Weisheng Dong · Xin Li · Jinjian Wu · Guangming Shi	N/A	Code
Neural Kernel Surface Reconstruction	Jiahui Huang · Zan Gojcic · Matan Atzmon · Or Litany · Sanja Fidler · Francis Williams	N/A	Code
Binary Latent Diffusion	Ze Wang · Jiang Wang · Zicheng Liu · Qiang Qiu	N/A	Code
Learning To Dub Movies via Hierarchical Prosody Models	Gaoxiang Cong · Liang Li · Yuankai Qi · Zheng-Jun Zha · Qi Wu · Wenyu Wang · Bin Jiang · Ming-Hsuan Yang · Qingming Huang	N/A	Code
Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs	Pattaramanee Arsomngern · Sarana Nutanong · Supasorn Suwajanakorn	N/A	Code
FrustumFormer: Adaptive Instance-Aware Resampling for Multi-View 3D Detection	Yuqi Wang · Yuntao Chen · Zhaoxiang Zhang	N/A	Code
Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!	Zaid Khan · Vijay Kumar BG · Samuel Schulter · Xiang Yu · Yun Fu · Manmohan Chandraker	N/A	Code
StyleRes: Transforming the Residuals for Real Image Editing With StyleGAN	Hamza Pehlivan · Yusuf Dalva · Aysegul Dundar	N/A	Code
PVT-SSD: Single-Stage 3D Object Detector With Point-Voxel Transformer	Honghui Yang · Wenxiao Wang · Minghao Chen · Binbin Lin · Tong He · Hua Chen · Xiaofei He · Wanli Ouyang	N/A	Code
Boosting Verified Training for Robust Image Classifications via Abstraction	Zhaodi Zhang · Zhiyi Xue · Yang Chen · Si Liu · Yueling Zhang · Jing Liu · Min Zhang	N/A	Code
Interactive Segmentation As Gaussion Process Classification	Minghao Zhou · Hong Wang · Qian Zhao · Yuexiang Li · Yawen Huang · Deyu Meng · Yefeng Zheng	N/A	Code
OSRT: Omnidirectional Image Super-Resolution With Distortion-Aware Transformer	Fanghua Yu · Xintao Wang · Mingdeng Cao · Gen Li · Ying Shan · Chao Dong	N/A	Code
Accelerating Vision-Language Pretraining With Free Language Modeling	Teng Wang · Yixiao Ge · Feng Zheng · Ran Cheng · Ying Shan · Xiaohu Qie · Ping Luo	N/A	Code
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation	Hanzhi Chen · Fabian Manhardt · Nassir Navab · Benjamin Busam	N/A	Code
Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking	Yuanpeng Tu · Boshen Zhang · Yuxi Li · Liang Liu · Jian Li · Jiangning Zhang · Yabiao Wang · Chengjie Wang · Cai Rong Zhao	N/A	Code
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization	Zhihao Liang · Zhangjin Huang · Changxing Ding · Kui Jia	N/A	Code
Multi-Space Neural Radiance Fields	Ze-Xin Yin · Jiaxiong Qiu · Ming-Ming Cheng · Bo Ren	N/A	Code
MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection From Point Cloud Sequences	Chenhang He · Ruihuang Li · Yabin Zhang · Shuai Li · Lei Zhang	N/A	Code
DLBD: A Self-Supervised Direct-Learned Binary Descriptor	Bin Xiao · Yang Hu · Bo Liu · Xiuli Bi · Weisheng Li · Xinbo Gao	N/A	Code
Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries	Yuanwen Yue · Theodora Kontogianni · Konrad Schindler · Francis Engelmann	N/A	Code
PointAvatar: Deformable Point-Based Head Avatars From Videos	Yufeng Zheng · Wang Yifan · Gordon Wetzstein · Michael J. Black · Otmar Hilliges	N/A	Code
Diffusion-SDF: Text-To-Shape via Voxelized Diffusion	Muheng Li · Yueqi Duan · Jie Zhou · Jiwen Lu	N/A	Code
NeRF-RPN: A General Framework for Object Detection in NeRFs	Benran Hu · Junkai Huang · Yichen Liu · Yu-Wing Tai · Chi-Keung Tang	N/A	Code
CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset	Tian Gan · Qing Wang · Xingning Dong · Xiangyuan Ren · Liqiang Nie · Qingpei Guo	N/A	Code
Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition	Chen Guo · Tianjian Jiang · Xu Chen · Jie Song · Otmar Hilliges	N/A	Code
Neural Preset for Color Style Transfer	Zhanghan Ke · Yuhao Liu · Lei Zhu · Nanxuan Zhao · Rynson W.H. Lau	N/A	Code
GRES: Generalized Referring Expression Segmentation	Chang Liu · Henghui Ding · Xudong Jiang	N/A	Code
Tracking Through Containers and Occluders in the Wild	Basile Van Hoorick · Pavel Tokmakov · Simon Stent · Jie Li · Carl Vondrick	N/A	Code
DepGraph: Towards Any Structural Pruning	Gongfan Fang · Xinyin Ma · Mingli Song · Michael Bi Mi · Xinchao Wang	N/A	Code
Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation	Yunqing Zhao · Chao Du · Milad Abdollahzadeh · Tianyu Pang · Min Lin · Shuicheng Yan · Ngai-Man Cheung	N/A	Code
RGB No More: Minimally-Decoded JPEG Vision Transformers	Jeongsoo Park · Justin Johnson	N/A	Code
iQuery: Instruments As Queries for Audio-Visual Sound Separation	Jiaben Chen · Renrui Zhang · Dongze Lian · Jiaqi Yang · Ziyao Zeng · Jianbo Shi	N/A	Code
Towards Professional Level Crowd Annotation of Expert Domain Data	Pei Wang · Nuno Vasconcelos	N/A	Code
VideoTrack: Learning To Track Objects via Video Transformer	Fei Xie · Lei Chu · Jiahao Li · Yan Lu · Chao Ma	N/A	Code
SCoDA: Domain Adaptive Shape Completion for Real Scans	Yushuang Wu · Zizheng Yan · Ce Chen · Lai Wei · Xiao Li · Guanbin Li · Yihao Li · Shuguang Cui · Xiaoguang Han	N/A	Code
Enhanced Training of Query-Based Object Detection via Selective Query Recollection	Fangyi Chen · Han Zhang · Kai Hu · Yu-Kai Huang · Chenchen Zhu · Marios Savvides	N/A	Code
LaserMix for Semi-Supervised LiDAR Semantic Segmentation	Lingdong Kong · Jiawei Ren · Liang Pan · Ziwei Liu	N/A	Code
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales With Multi-Depth Seeds for 3D Object Detection	Yang Jiao · Zequn Jie · Shaoxiang Chen · Jingjing Chen · Lin Ma · Yu-Gang Jiang	N/A	Code
Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning	Zeyin Song · Yifan Zhao · Yujun Shi · Peixi Peng · Li Yuan · Yonghong Tian	N/A	Code
PLA: Language-Driven Open-Vocabulary 3D Scene Understanding	Runyu Ding · Jihan Yang · Chuhui Xue · Wenqing Zhang · Song Bai · Xiaojuan Qi	N/A	Code
Being Comes From Not-Being: Open-Vocabulary Text-to-Motion Generation With Wordless Training	Junfan Lin · Jianlong Chang · Lingbo Liu · Guanbin Li · Liang Lin · Qi Tian · Chang-Wen Chen	N/A	Code
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction	Xiaotao Hu · Zhewei Huang · Ailin Huang · Jun Xu · Shuchang Zhou	N/A	Code
Neural Dependencies Emerging From Learning Massive Categories	Ruili Feng · Kecheng Zheng · Kai Zhu · Yujun Shen · Jian Zhao · Yukun Huang · Deli Zhao · Jingren Zhou · Michael Jordan · Zheng-Jun Zha	N/A	Code
Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-Identification	Yukang Zhang · Hanzi Wang	N/A	Code
Neural Kaleidoscopic Space Sculpting	Byeongjoo Ahn · Michael De Zeeuw · Ioannis Gkioulekas · Aswin C. Sankaranarayanan	N/A	Code
PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow	Jiarui Lei · Xiaobo Hu · Yue Wang · Dong Liu	N/A	Code
Masked Motion Encoding for Self-Supervised Video Representation Learning	Xinyu Sun · Peihao Chen · Liangwei Chen · Changhao Li · Thomas H. Li · Mingkui Tan · Chuang Gan	N/A	Code
StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator	Jiazhi Guan · Zhanwang Zhang · Hang Zhou · Tianshu Hu · Kaisiyuan Wang · Dongliang He · Haocheng Feng · Jingtuo Liu · Errui Ding · Ziwei Liu · Jingdong Wang	N/A	Code
LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation	Song Wang · Wentong Li · Wenyu Liu · Xiaolu Liu · Jianke Zhu	N/A	Code
Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion	Changfeng Ma · Yinuo Chen · Pengxiao Guo · Jie Guo · Chongjun Wang · Yanwen Guo	N/A	Code
Boosting Detection in Crowd Analysis via Underutilized Output Features	Shaokai Wu · Fengyu Yang	N/A	Code
Representation Learning for Visual Object Tracking by Masked Appearance Transfer	Haojie Zhao · Dong Wang · Huchuan Lu	N/A	Code
NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360° Views	Dejia Xu · Yifan Jiang · Peihao Wang · Zhiwen Fan · Yi Wang · Zhangyang Wang	N/A	Code
DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation	Hao Jiang · Rushan Zhang · Yanning Zhou · Yumeng Wang · Hao Chen	N/A	Code
Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving	Xiaosong Jia · Penghao Wu · Li Chen · Jiangwei Xie · Conghui He · Junchi Yan · Hongyang Li	N/A	Code
Adversarial Counterfactual Visual Explanations	Guillaume Jeanneret · Loïc Simon · Frédéric Jurie	N/A	Code
ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization	Jintao Guo · Na Wang · Lei Qi · Yinghuan Shi	N/A	Code
ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision	Jingwang Ling · Zhibo Wang · Feng Xu	N/A	Code
Coaching a Teachable Student	Jimuyang Zhang · Zanming Huang · Eshed Ohn-Bar	N/A	Code
POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery	Ce Zheng · Xianpeng Liu · Guo-Jun Qi · Chen Chen	N/A	Code
Layout-Based Causal Inference for Object Navigation	Sixian Zhang · Xinhang Song · Weijie Li · Yubing Bai · Xinyao Yu · Shuqiang Jiang	N/A	Code
Towards Bridging the Performance Gaps of Joint Energy-Based Models	Xiulong Yang · Qing Su · Shihao Ji	N/A	Code
Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild	Gyeongsik Moon	N/A	Code
Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting	Xiaogang Peng · Siyuan Mao · Zizhao Wu	N/A	Code
Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization	Chen Ju · Kunhao Zheng · Jinxiang Liu · Peisen Zhao · Ya Zhang · Jianlong Chang · Qi Tian · Yanfeng Wang	N/A	Code
DiffPose: Toward More Reliable 3D Pose Estimation	Jia Gong · Lin Geng Foo · Zhipeng Fan · Qiuhong Ke · Hossein Rahmani · Jun Liu	N/A	Code
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection	Tiange Xiang · Yixiao Zhang · Yongyi Lu · Alan L. Yuille · Chaoyi Zhang · Weidong Cai · Zongwei Zhou	N/A	Code
On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer	Zhenjie Yu · Shuang Li · Yirui Shen · Chi Harold Liu · Shuigen Wang	N/A	Code
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input	Senmao Tian · Ming Lu · Jiaming Liu · Yandong Guo · Yurong Chen · Shunli Zhang	N/A	Code
NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects	Zhiwen Yan · Chen Li · Gim Hee Lee	N/A	Code
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo	Lukas Mehl · Jenny Schmalfuss · Azin Jahedi · Yaroslava Nalivayko · Andrés Bruhn	N/A	Code
Unifying Short and Long-Term Tracking With Graph Hierarchies	Orcun Cetintas · Guillem Brasó · Laura Leal-Taixé	N/A	Code
MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection	Liang Liu · Boshen Zhang · Jiangning Zhang · Wuhao Zhang · Zhenye Gan · Guanzhong Tian · Wenbing Zhu · Yabiao Wang · Chengjie Wang	N/A	Code
A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation From a Single RGB Image	Changlong Jiang · Yang Xiao · Cunlin Wu · Mingyang Zhang · Jinghong Zheng · Zhiguo Cao · Joey Tianyi Zhou	N/A	Code
Efficient Mask Correction for Click-Based Interactive Image Segmentation	Fei Du · Jianlong Yuan · Zhibin Wang · Fan Wang	N/A	Code
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation	Tong Wu · Jiarui Zhang · Xiao Fu · Yuxin Wang · Jiawei Ren · Liang Pan · Wayne Wu · Lei Yang · Jiaqi Wang · Chen Qian · Dahua Lin · Ziwei Liu	N/A	Code
LoGoNet: Towards Accurate 3D Object Detection With Local-to-Global Cross-Modal Fusion	Xin Li · Tao Ma · Yuenan Hou · Botian Shi · Yuchen Yang · Youquan Liu · Xingjiao Wu · Qin Chen · Yikang Li · Yu Qiao · Liang He	N/A	Code
3D Registration With Maximal Cliques	Xiyu Zhang · Jiaqi Yang · Shikun Zhang · Yanning Zhang	N/A	Code
Inferring and Leveraging Parts From Object Shape for Improving Semantic Image Synthesis	Yuxiang Wei · Zhilong Ji · Xiaohe Wu · Jinfeng Bai · Lei Zhang · Wangmeng Zuo	N/A	Code
Frame-Event Alignment and Fusion Network for High Frame Rate Tracking	Jiqing Zhang · Yuanchen Wang · Wenxi Liu · Meng Li · Jinpeng Bai · Baocai Yin · Xin Yang	N/A	Code
Human Guided Ground-Truth Generation for Realistic Image Super-Resolution	Du Chen · Jie Liang · Xindong Zhang · Ming Liu · Hui Zeng · Lei Zhang	N/A	Code
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration	Kemal Oksuz · Tom Joy · Puneet K. Dokania	N/A	Code
Generating Human Motion From Textual Descriptions With Discrete Representations	Jianrong Zhang · Yangsong Zhang · Xiaodong Cun · Yong Zhang · Hongwei Zhao · Hongtao Lu · Xi Shen · Ying Shan	N/A	Code
Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing	Yu Zheng · Jiahui Zhan · Shengfeng He · Junyu Dong · Yong Du	N/A	Code
Learning Human Mesh Recovery in 3D Scenes	Zehong Shen · Zhi Cen · Sida Peng · Qing Shuai · Hujun Bao · Xiaowei Zhou	N/A	Code
Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection	Luting Wang · Yi Liu · Penghui Du · Zihan Ding · Yue Liao · Qiaosong Qi · Biaolong Chen · Si Liu	N/A	Code
Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method	Ran Yi · Haoyuan Tian · Zhihao Gu · Yu-Kun Lai · Paul L. Rosin	N/A	Code
SOOD: Towards Semi-Supervised Oriented Object Detection	Wei Hua · Dingkang Liang · Jingyu Li · Xiaolong Liu · Zhikang Zou · Xiaoqing Ye · Xiang Bai	N/A	Code
Spherical Transformer for LiDAR-Based 3D Recognition	Xin Lai · Yukang Chen · Fanbin Lu · Jianhui Liu · Jiaya Jia	N/A	Code
Data-Free Sketch-Based Image Retrieval	Abhra Chaudhuri · Ayan Kumar Bhunia · Yi-Zhe Song · Anjan Dutta	N/A	Code
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion	Zixiang Zhao · Haowen Bai · Jiangshe Zhang · Yulun Zhang · Shuang Xu · Zudi Lin · Radu Timofte · Luc Van Gool	N/A	Code
Proximal Splitting Adversarial Attack for Semantic Segmentation	Jérôme Rony · Jean-Christophe Pesquet · Ismail Ben Ayed	N/A	Code
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation	Ziyan Wang · Giljoo Nam · Tuur Stuyck · Stephen Lombardi · Chen Cao · Jason Saragih · Michael Zollhöfer · Jessica Hodgins · Christoph Lassner	N/A	Code
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language	Chuanhao Li · Zhen Li · Chenchen Jing · Yunde Jia · Yuwei Wu	N/A	Code
3D-Aware Face Swapping	Yixuan Li · Chao Ma · Yichao Yan · Wenhan Zhu · Xiaokang Yang	N/A	Code
Representing Volumetric Videos As Dynamic MLP Maps	Sida Peng · Yunzhi Yan · Qing Shuai · Hujun Bao · Xiaowei Zhou	N/A	Code
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation	Hang Du · Xuejun Yan · Jingjing Wang · Di Xie · Shiliang Pu	N/A	Code
Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need	Jingyao Li · Pengguang Chen · Zexin He · Shaozuo Yu · Shu Liu · Jiaya Jia	N/A	Code
Paint by Example: Exemplar-Based Image Editing With Diffusion Models	Binxin Yang · Shuyang Gu · Bo Zhang · Ting Zhang · Xuejin Chen · Xiaoyan Sun · Dong Chen · Fang Wen	N/A	Code
Referring Multi-Object Tracking	Dongming Wu · Wencheng Han · Tiancai Wang · Xingping Dong · Xiangyu Zhang · Jianbing Shen	N/A	Code
NerVE: Neural Volumetric Edges for Parametric Curve Extraction From Point Cloud	Xiangyu Zhu · Dong Du · Weikai Chen · Zhiyou Zhao · Yinyu Nie · Xiaoguang Han	N/A	Code
AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection	Yipeng Gao · Kun-Yu Lin · Junkai Yan · Yaowei Wang · Wei-Shi Zheng	N/A	Code
CUF: Continuous Upsampling Filters	Cristina N. Vasconcelos · Cengiz Oztireli · Mark Matthews · Milad Hashemi · Kevin Swersky · Andrea Tagliasacchi	N/A	Code
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors	Yuang Zhang · Tiancai Wang · Xiangyu Zhang	N/A	Code
CXTrack: Improving 3D Point Cloud Tracking With Contextual Information	Tian-Xing Xu · Yuan-Chen Guo · Yu-Kun Lai · Song-Hai Zhang	N/A	Code
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection	Xincheng Yao · Ruoqi Li · Jing Zhang · Jun Sun · Chongyang Zhang	N/A	Code
Learning Bottleneck Concepts in Image Classification	Bowen Wang · Liangzhi Li · Yuta Nakashima · Hajime Nagahara	N/A	Code
Zero-Shot Model Diagnosis	Jinqi Luo · Zhaoning Wang · Chen Henry Wu · Dong Huang · Fernando De la Torre	N/A	Code
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation	Shuai Shen · Wenliang Zhao · Zibin Meng · Wanhua Li · Zheng Zhu · Jie Zhou · Jiwen Lu	N/A	Code
DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer	Ping Chen · Xingpeng Zhang · Ye Li · Ju Tao · Bin Xiao · Bing Wang · Zongjie Jiang	N/A	Code
TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification	Haocong Rao · Chunyan Miao	N/A	Code
Joint Visual Grounding and Tracking With Natural Language Specification	Li Zhou · Zikun Zhou · Kaige Mao · Zhenyu He	N/A	Code
Compressing Volumetric Radiance Fields to 1 MB	Lingzhi Li · Zhen Shen · Zhongshu Wang · Li Shen · Liefeng Bo	N/A	Code
HyperReel: High-Fidelity 6-DoF Video With Ray-Conditioned Sampling	Benjamin Attal · Jia-Bin Huang · Christian Richardt · Michael Zollhöfer · Johannes Kopf · Matthew O’Toole · Changil Kim	N/A	Code
Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections	Alexander Gillert · Giulia Resente · Alba Anadon-Rosell · Martin Wilmking · Uwe Freiherr von Lukas	N/A	Code
Ego-Body Pose Estimation via Ego-Head Pose Estimation	Jiaman Li · Karen Liu · Jiajun Wu	N/A	Code
Learned Two-Plane Perspective Prior Based Image Resampling for Efficient Object Detection	Anurag Ghosh · N. Dinesh Reddy · Christoph Mertz · Srinivasa G. Narasimhan	N/A	Code
PaletteNeRF: Palette-Based Appearance Editing of Neural Radiance Fields	Zhengfei Kuang · Fujun Luan · Sai Bi · Zhixin Shu · Gordon Wetzstein · Kalyan Sunkavalli	N/A	Code
Long Range Pooling for 3D Large-Scale Scene Understanding	Xiang-Li Li · Meng-Hao Guo · Tai-Jiang Mu · Ralph R. Martin · Shi-Min Hu	N/A	Code
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation	Mingjie Li · Bingqian Lin · Zicong Chen · Haokun Lin · Xiaodan Liang · Xiaojun Chang	N/A	Code
Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning	Chengzhi Cao · Xueyang Fu · Hongjian Liu · Yukun Huang · Kunyu Wang · Jiebo Luo · Zheng-Jun Zha	N/A	Code
Contrastive Grouping With Transformer for Referring Image Segmentation	Jiajin Tang · Ge Zheng · Cheng Shi · Sibei Yang	N/A	Code
Structure Aggregation for Cross-Spectral Stereo Image Guided Denoising	Zehua Sheng · Zhu Yu · Xiongwei Liu · Si-Yuan Cao · Yuqi Liu · Hui-Liang Shen · Huaqi Zhang	N/A	Code
Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization	Chenxi Zheng · Bangzhen Liu · Huaidong Zhang · Xuemiao Xu · Shengfeng He	N/A	Code
EDGE: Editable Dance Generation From Music	Jonathan Tseng · Rodrigo Castellon · Karen Liu	N/A	Code
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models	Minghua Liu · Yinhao Zhu · Hong Cai · Shizhong Han · Zhan Ling · Fatih Porikli · Hao Su	N/A	Code
EDICT: Exact Diffusion Inversion via Coupled Transformations	Bram Wallace · Akash Gokul · Nikhil Naik	N/A	Code
Complete 3D Human Reconstruction From a Single Incomplete Image	Junying Wang · Jae Shin Yoon · Tuanfeng Y. Wang · Krishna Kumar Singh · Ulrich Neumann	N/A	Code
PartDistillation: Learning Parts From Instance Segmentation	Jang Hyun Cho · Philipp Krähenbühl · Vignesh Ramanathan	N/A	Code
Neural Vector Fields: Implicit Representation by Explicit Learning	Xianghui Yang · Guosheng Lin · Zhenghao Chen · Luping Zhou	N/A	Code
Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors	Chao Chen · Yu-Shen Liu · Zhizhong Han	N/A	Code
Texts as Images in Prompt Tuning for Multi-Label Image Recognition	Zixian Guo · Bowen Dong · Zhilong Ji · Jinfeng Bai · Yiwen Guo · Wangmeng Zuo	N/A	Code
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions	Yun He · Danhang Tang · Yinda Zhang · Xiangyang Xue · Yanwei Fu	N/A	Code
MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning	Shicai Wei · Chunbo Luo · Yang Luo	N/A	Code
Rethinking Optical Flow From Geometric Matching Consistent Perspective	Qiaole Dong · Chenjie Cao · Yanwei Fu	N/A	Code
FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation	Junjie He · Pengyu Li · Yifeng Geng · Xuansong Xie	N/A	Code
How Can Objects Help Action Recognition?	Xingyi Zhou · Anurag Arnab · Chen Sun · Cordelia Schmid	N/A	Code
Images Speak in Images: A Generalist Painter for In-Context Visual Learning	Xinlong Wang · Wen Wang · Yue Cao · Chunhua Shen · Tiejun Huang	N/A	Code
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation	Huimin Huang · Shiao Xie · Lanfen Lin · Ruofeng Tong · Yen-Wei Chen · Yuexiang Li · Hong Wang · Yawen Huang · Yefeng Zheng	N/A	Code
A Unified Pyramid Recurrent Network for Video Frame Interpolation	Xin Jin · Longhai Wu · Jie Chen · Youxin Chen · Jayoon Koo · Cheul-hee Hahm	N/A	Code
Enhancing the Self-Universality for Transferable Targeted Attacks	Zhipeng Wei · Jingjing Chen · Zuxuan Wu · Yu-Gang Jiang	N/A	Code
Multi-View Inverse Rendering for Large-Scale Real-World Indoor Scenes	Zhen Li · Lingli Wang · Mofang Cheng · Cihui Pan · Jiaqi Yang	N/A	Code
TAPS3D: Text-Guided 3D Textured Shape Generation From Pseudo Supervision	Jiacheng Wei · Hao Wang · Jiashi Feng · Guosheng Lin · Kim-Hui Yap	N/A	Code
Frequency-Modulated Point Cloud Rendering With Easy Editing	Yi Zhang · Xiaoyang Huang · Bingbing Ni · Teng Li · Wenjun Zhang	N/A	Code
Vector Quantization With Self-Attention for Quality-Independent Representation Learning	Zhou Yang · Weisheng Dong · Xin Li · Mengluan Huang · Yulin Sun · Guangming Shi	N/A	Code
Fine-Grained Face Swapping via Regional GAN Inversion	Zhian Liu · Maomao Li · Yong Zhang · Cairong Wang · Qi Zhang · Jue Wang · Yongwei Nie	N/A	Code
Backdoor Defense via Adaptively Splitting Poisoned Dataset	Kuofeng Gao · Yang Bai · Jindong Gu · Yong Yang · Shu-Tao Xia	N/A	Code
RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models	Jiabao Lei · Jiapeng Tang · Kui Jia	N/A	Code
CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose	Xu Zhang · Wen Wang · Zhe Chen · Yufei Xu · Jing Zhang · Dacheng Tao	N/A	Code
Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones	Mert Bülent Sarıyıldız · Karteek Alahari · Diane Larlus · Yannis Kalantidis	N/A	Code
Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring	Lingshun Kong · Jiangxin Dong · Jianjun Ge · Mingqiang Li · Jinshan Pan	N/A	Code
DartBlur: Privacy Preservation With Detection Artifact Suppression	Baowei Jiang · Bing Bai · Haozhe Lin · Yu Wang · Yuchen Guo · Lu Fang	N/A	Code
FCC: Feature Clusters Compression for Long-Tailed Visual Recognition	Jian Li · Ziyao Meng · Daqian Shi · Rui Song · Xiaolei Diao · Jingwen Wang · Hao Xu	N/A	Code
CLOTH4D: A Dataset for Clothed Human Reconstruction	Xingxing Zou · Xintong Han · Waikeung Wong	N/A	Code
LinK: Linear Kernel for LiDAR-Based 3D Perception	Tao Lu · Xiang Ding · Haisong Liu · Gangshan Wu · Limin Wang	N/A	Code
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation	Xiaoyang Wang · Bingfeng Zhang · Limin Yu · Jimin Xiao	N/A	Code
Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception	Junyu Gao · Mengyuan Chen · Changsheng Xu	N/A	Code
LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs	Yukang Chen · Jianhui Liu · Xiangyu Zhang · Xiaojuan Qi · Jiaya Jia	N/A	Code
Deep Learning of Partial Graph Matching via Differentiable Top-K	Runzhong Wang · Ziao Guo · Shaofei Jiang · Xiaokang Yang · Junchi Yan	N/A	Code
Analyzing Physical Impacts Using Transient Surface Wave Imaging	Tianyuan Zhang · Mark Sheinin · Dorian Chan · Mark Rau · Matthew O’Toole · Srinivasa G. Narasimhan	N/A	Code
Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment	Yiyou Sun · Yaojie Liu · Xiaoming Liu · Yixuan Li · Wen-Sheng Chu	N/A	Code
A Simple Baseline for Video Restoration With Grouped Spatial-Temporal Shift	Dasong Li · Xiaoyu Shi · Yi Zhang · Ka Chun Cheung · Simon See · Xiaogang Wang · Hongwei Qin · Hongsheng Li	N/A	Code
The ObjectFolder Benchmark: Multisensory Learning With Neural and Real Objects	Ruohan Gao · Yiming Dou · Hao Li · Tanmay Agarwal · Jeannette Bohg · Yunzhu Li · Li Fei-Fei · Jiajun Wu	N/A	Code
PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav	Ram Ramrakhya · Dhruv Batra · Erik Wijmans · Abhishek Das	N/A	Code
DC2: Dual-Camera Defocus Control by Learning To Refocus	Hadi Alzayer · Abdullah Abuolaim · Leung Chun Chan · Yang Yang · Ying Chen Lou · Jia-Bin Huang · Abhishek Kar	N/A	Code
Habitat-Matterport 3D Semantics Dataset	Karmesh Yadav · Ram Ramrakhya · Santhosh Kumar Ramakrishnan · Theo Gervet · John Turner · Aaron Gokaslan · Noah Maestre · Angel Xuan Chang · Dhruv Batra · Manolis Savva · Alexander William Clegg · Devendra Singh Chaplot	N/A	Code
Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering	Zhenwei Shao · Zhou Yu · Meng Wang · Jun Yu	N/A	Code
Similarity Metric Learning for RGB-Infrared Group Re-Identification	Jianghao Xiong · Jianhuang Lai	N/A	Code
DPF: Learning Dense Prediction Fields With Weak Supervision	Xiaoxue Chen · Yuhang Zheng · Yupeng Zheng · Qiang Zhou · Hao Zhao · Guyue Zhou · Ya-Qin Zhang	N/A	Code
Mixed Autoencoder for Self-Supervised Visual Representation Learning	Kai Chen · Zhili Liu · Lanqing Hong · Hang Xu · Zhenguo Li · Dit-Yan Yeung	N/A	Code
Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers	Chenyang Lu · Daan de Geus · Gijs Dubbelman	N/A	Code
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds	Jun-Kun Chen · Jipeng Lyu · Yu-Xiong Wang	N/A	Code
Multiview Compressive Coding for 3D Reconstruction	Chao-Yuan Wu · Justin Johnson · Jitendra Malik · Christoph Feichtenhofer · Georgia Gkioxari	N/A	Code
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation	Lihe Yang · Lei Qi · Litong Feng · Wayne Zhang · Yinghuan Shi	N/A	Code
Delving Into Shape-Aware Zero-Shot Semantic Segmentation	Xinyu Liu · Beiwen Tian · Zhen Wang · Rui Wang · Kehua Sheng · Bo Zhang · Hao Zhao · Guyue Zhou	N/A	Code
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval	Yi Xie · Huaidong Zhang · Xuemiao Xu · Jianqing Zhu · Shengfeng He	N/A	Code
Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping	Long Lian · Zhirong Wu · Stella X. Yu	N/A	Code
NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation	Zehan Zheng · Danni Wu · Ruisi Lu · Fan Lu · Guang Chen · Changjun Jiang	N/A	Code
Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning	Zhuoyang Zhang · Yuhao Dong · Yunze Liu · Li Yi	N/A	Code
GFIE: A Dataset and Baseline for Gaze-Following From 2D to 3D in Indoor Environments	Zhengxi Hu · Yuxue Yang · Xiaolin Zhai · Dingye Yang · Bohan Zhou · Jingtai Liu	N/A	Code
Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?	Wenhao Wu · Haipeng Luo · Bo Fang · Jingdong Wang · Wanli Ouyang	N/A	Code
Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition From Egocentric RGB Videos	Yilin Wen · Hao Pan · Lei Yang · Jia Pan · Taku Komura · Wenping Wang	N/A	Code
CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer	Linfeng Wen · Chengying Gao · Changqing Zou	N/A	Code
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias	Noa Garcia · Yusuke Hirota · Yankun Wu · Yuta Nakashima	N/A	Code
AltFreezing for More General Video Face Forgery Detection	Zhendong Wang · Jianmin Bao · Wengang Zhou · Weilun Wang · Houqiang Li	N/A	Code
Two-View Geometry Scoring Without Correspondences	Axel Barroso-Laguna · Eric Brachmann · Victor Adrian Prisacariu · Gabriel J. Brostow · Daniyar Turmukhambetov	N/A	Code
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning	Wenjin Wang · Yunqing Hu · Qianglong Chen · Yin Zhang	N/A	Code
Revisiting Prototypical Network for Cross Domain Few-Shot Learning	Fei Zhou · Peng Wang · Lei Zhang · Wei Wei · Yanning Zhang	N/A	Code
Federated Incremental Semantic Segmentation	Jiahua Dong · Duzhen Zhang · Yang Cong · Wei Cong · Henghui Ding · Dengxin Dai	N/A	Code
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching	Dongliang Cao · Florian Bernard	N/A	Code
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization	Aishan Liu · Shiyu Tang · Siyuan Liang · Ruihao Gong · Boxi Wu · Xianglong Liu · Dacheng Tao	N/A	Code
Video-Text As Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning	Peng Jin · Jinfa Huang · Pengfei Xiong · Shangxuan Tian · Chang Liu · Xiangyang Ji · Li Yuan · Jie Chen	N/A	Code
pCON: Polarimetric Coordinate Networks for Neural Scene Representations	Henry Peters · Yunhao Ba · Achuta Kadambi	N/A	Code
RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo	Changjiang Cai · Pan Ji · Qingan Yan · Yi Xu	N/A	Code
Depth Estimation From Camera Image and mmWave Radar Point Cloud	Akash Deep Singh · Yunhao Ba · Ankur Sarker · Howard Zhang · Achuta Kadambi · Stefano Soatto · Mani Srivastava · Alex Wong	N/A	Code
Normal-Guided Garment UV Prediction for Human Re-Texturing	Yasamin Jafarian · Tuanfeng Y. Wang · Duygu Ceylan · Jimei Yang · Nathan Carr · Yi Zhou · Hyun Soo Park	N/A	Code
WeatherStream: Light Transport Automation of Single Image Deweathering	Howard Zhang · Yunhao Ba · Ethan Yang · Varan Mehra · Blake Gella · Akira Suzuki · Arnold Pfahnl · Chethan Chinder Chandrappa · Alex Wong · Achuta Kadambi	N/A	Code
MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices	Kejie Li · Jia-Wang Bian · Robert Castle · Philip H.S. Torr · Victor Adrian Prisacariu	N/A	Code
Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity	Yanan Sun · Chi-Keung Tang · Yu-Wing Tai	N/A	Code
Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection	Chuandong Liu · Chenqiang Gao · Fangcen Liu · Pengcheng Li · Deyu Meng · Xinbo Gao	N/A	Code
PATS: Patch Area Transportation With Subdivision for Local Feature Matching	Junjie Ni · Yijin Li · Zhaoyang Huang · Hongsheng Li · Hujun Bao · Zhaopeng Cui · Guofeng Zhang	N/A	Code
SINE: Semantic-Driven Image-Based NeRF Editing With Prior-Guided Editing Field	Chong Bao · Yinda Zhang · Bangbang Yang · Tianxing Fan · Zesong Yang · Hujun Bao · Guofeng Zhang · Zhaopeng Cui	N/A	Code
GeoNet: Benchmarking Unsupervised Adaptation Across Geographies	Tarun Kalluri · Wangdong Xu · Manmohan Chandraker	N/A	Code
Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset	Shuaizheng Liu · Xindong Zhang · Lingchen Sun · Zhetong Liang · Hui Zeng · Lei Zhang	N/A	Code
3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification	Jiazhao Zhang · Liu Dai · Fanpeng Meng · Qingnan Fan · Xuelin Chen · Kai Xu · He Wang	N/A	Code
Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling	Yulin Liu · Haoran Liu · Yingda Yin · Yang Wang · Baoquan Chen · He Wang	N/A	Code
RILS: Masked Visual Reconstruction in Language Semantic Space	Shusheng Yang · Yixiao Ge · Kun Yi · Dian Li · Ying Shan · Xiaohu Qie · Xinggang Wang	N/A	Code
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection	Benjin Zhu · Zhe Wang · Shaoshuai Shi · Hang Xu · Lanqing Hong · Hongsheng Li	N/A	Code
PREIM3D: 3D Consistent Precise Image Attribute Editing From a Single Image	Jianhui Li · Jianmin Li · Haoji Zhang · Shilong Liu · Zhengyi Wang · Zihao Xiao · Kaiwen Zheng · Jun Zhu	N/A	Code
Bridging Search Region Interaction With Template for RGB-T Tracking	Tianrui Hui · Zizheng Xun · Fengguang Peng · Junshi Huang · Xiaoming Wei · Xiaolin Wei · Jiao Dai · Jizhong Han · Si Liu	N/A	Code
Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels	Jingqiu Zhou · Linjiang Huang · Liang Wang · Si Liu · Hongsheng Li	N/A	Code
Learning To Zoom and Unzoom	Chittesh Thavamani · Mengtian Li · Francesco Ferroni · Deva Ramanan	N/A	Code
MaLP: Manipulation Localization Using a Proactive Scheme	Vishal Asnani · Xi Yin · Tal Hassner · Xiaoming Liu	N/A	Code
Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning	Haiyu Wu · Grace Bezold · Aman Bhatta · Kevin W. Bowyer	N/A	Code
Visual-Tactile Sensing for In-Hand Object Reconstruction	Wenqiang Xu · Zhenjun Yu · Han Xue · Ruolin Ye · Siqiong Yao · Cewu Lu	N/A	Code
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training	Filip Radenovic · Abhimanyu Dubey · Abhishek Kadian · Todor Mihaylov · Simon Vandenhende · Yash Patel · Yi Wen · Vignesh Ramanathan · Dhruv Mahajan	N/A	Code
Semi-Supervised Domain Adaptation With Source Label Adaptation	Yu-Chu Yu · Hsuan-Tien Lin	N/A	Code
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection	Chao Feng · Ziyang Chen · Andrew Owens	N/A	Code
IterativePFN: True Iterative Point Cloud Filtering	Dasith de Silva Edirimuni · Xuequan Lu · Zhiwen Shao · Gang Li · Antonio Robles-Kelly · Ying He	N/A	Code
Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time	Wei Shang · Dongwei Ren · Yi Yang · Hongzhi Zhang · Kede Ma · Wangmeng Zuo	N/A	Code
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning	Yun-Hao Cao · Peiqin Sun · Shuchang Zhou	N/A	Code
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking	Ziqi Pang · Jie Li · Pavel Tokmakov · Dian Chen · Sergey Zagoruyko · Yu-Xiong Wang	N/A	Code
VecFontSDF: Learning To Reconstruct and Synthesize High-Quality Vector Fonts via Signed Distance Functions	Zeqing Xia · Bojun Xiong · Zhouhui Lian	N/A	Code
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment	Baorui Ma · Junsheng Zhou · Yu-Shen Liu · Zhizhong Han	N/A	Code
Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization	Hantao Yao · Rui Zhang · Changsheng Xu	N/A	Code
Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation	Ju He · Jieneng Chen · Ming-Xian Lin · Qihang Yu · Alan L. Yuille	N/A	Code
Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography	Yue Cao · Ming Liu · Shuai Liu · Xiaotao Wang · Lei Lei · Wangmeng Zuo	N/A	Code
Dynamic Focus-Aware Positional Queries for Semantic Segmentation	Haoyu He · Jianfei Cai · Zizheng Pan · Jing Liu · Jing Zhang · Dacheng Tao · Bohan Zhuang	N/A	Code
Generic-to-Specific Distillation of Masked Autoencoders	Wei Huang · Zhiliang Peng · Li Dong · Furu Wei · Jianbin Jiao · Qixiang Ye	N/A	Code
Benchmarking Robustness of 3D Object Detection to Common Corruptions	Yinpeng Dong · Caixin Kang · Jinlai Zhang · Zijian Zhu · Yikai Wang · Xiao Yang · Hang Su · Xingxing Wei · Jun Zhu	N/A	Code
GarmentTracking: Category-Level Garment Pose Tracking	Han Xue · Wenqiang Xu · Jieyi Zhang · Tutian Tang · Yutong Li · Wenxin Du · Ruolin Ye · Cewu Lu	N/A	Code
TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets	Weixin Chen · Dawn Song · Bo Li	N/A	Code
Weakly Supervised Video Representation Learning With Unaligned Text for Sequential Videos	Sixun Dong · Huazhang Hu · Dongze Lian · Weixin Luo · Yicheng Qian · Shenghua Gao	N/A	Code
Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process	Yuhan Li · Yishun Dou · Xuanhong Chen · Bingbing Ni · Yilin Sun · Yutian Liu · Fuzhen Wang	N/A	Code
SpaText: Spatio-Textual Representation for Controllable Image Generation	Omri Avrahami · Thomas Hayes · Oran Gafni · Sonal Gupta · Yaniv Taigman · Devi Parikh · Dani Lischinski · Ohad Fried · Xi Yin	N/A	Code
Watch or Listen: Robust Audio-Visual Speech Recognition With Visual Corruption Modeling and Reliability Scoring	Joanna Hong · Minsu Kim · Jeongsoo Choi · Yong Man Ro	N/A	Code
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation	Titas Anciukevičius · Zexiang Xu · Matthew Fisher · Paul Henderson · Hakan Bilen · Niloy J. Mitra · Paul Guerrero	N/A	Code
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints	Yaqi Shen · Le Hui · Jin Xie · Jian Yang	N/A	Code
Adaptive Annealing for Robust Geometric Estimation	Chitturi Sidhartha · Lalit Manam · Venu Madhav Govindu	N/A	Code
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising	Miaoyu Li · Ji Liu · Ying Fu · Yulun Zhang · Dejing Dou	N/A	Code
Partial Network Cloning	Jingwen Ye · Songhua Liu · Xinchao Wang	N/A	Code
Twin Contrastive Learning With Noisy Labels	Zhizhong Huang · Junping Zhang · Hongming Shan	N/A	Code
Ambiguous Medical Image Segmentation Using Diffusion Models	Aimon Rahman · Jeya Maria Jose Valanarasu · Ilker Hacihaliloglu · Vishal M. Patel	N/A	Code
High-Res Facial Appearance Capture From Polarized Smartphone Images	Dejan Azinović · Olivier Maury · Christophe Hery · Matthias Nießner · Justus Thies	N/A	Code
AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation	Takehiko Ohkawa · Kun He · Fadime Sener · Tomas Hodan · Luan Tran · Cem Keskin	N/A	Code
EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata	Chenhao Zheng · Ayush Shrivastava · Andrew Owens	N/A	Code
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures	Gal Metzer · Elad Richardson · Or Patashnik · Raja Giryes · Daniel Cohen-Or	N/A	Code
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning	Sungmin Cha · Sungjun Cho · Dasol Hwang · Sunwon Hong · Moontae Lee · Taesup Moon	N/A	Code
Progressive Neighbor Consistency Mining for Correspondence Pruning	Xin Liu · Jufeng Yang	N/A	Code
Post-Training Quantization on Diffusion Models	Yuzhang Shang · Zhihang Yuan · Bin Xie · Bingzhe Wu · Yan Yan	N/A	Code
Fully Self-Supervised Depth Estimation From Defocus Clue	Haozhe Si · Bin Zhao · Dong Wang · Yunpeng Gao · Mulin Chen · Zhigang Wang · Xuelong Li	N/A	Code
Curricular Object Manipulation in LiDAR-Based Object Detection	Ziyue Zhu · Qiang Meng · Xiao Wang · Ke Wang · Liujiang Yan · Jian Yang	N/A	Code
Adaptive Assignment for Geometry Aware Local Feature Matching	Dihe Huang · Ying Chen · Yong Liu · Jianlin Liu · Shang Xu · Wenlong Wu · Yikang Ding · Fan Tang · Chengjie Wang	N/A	Code
RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension	Lei Jin · Gen Luo · Yiyi Zhou · Xiaoshuai Sun · Guannan Jiang · Annan Shu · Rongrong Ji	N/A	Code
ANetQA: A Large-Scale Benchmark for Fine-Grained Compositional Reasoning Over Untrimmed Videos	Zhou Yu · Lixiang Zheng · Zhou Zhao · Fei Wu · Jianping Fan · Kui Ren · Jun Yu	N/A	Code
GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds	Honghui Yang · Tong He · Jiaheng Liu · Hua Chen · Boxi Wu · Binbin Lin · Xiaofei He · Wanli Ouyang	N/A	Code
Multimodal Industrial Anomaly Detection via Hybrid Fusion	Yue Wang · Jinlong Peng · Jiangning Zhang · Ran Yi · Yabiao Wang · Chengjie Wang	N/A	Code
B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution	Byeonghyun Pak · Jaewon Lee · Kyong Hwan Jin	N/A	Code
CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation	Yuqi Lin · Minghao Chen · Wenxiao Wang · Boxi Wu · Ke Li · Binbin Lin · Haifeng Liu · Xiaofei He	N/A	Code
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation	Ludan Ruan · Yiyang Ma · Huan Yang · Huiguo He · Bei Liu · Jianlong Fu · Nicholas Jing Yuan · Qin Jin · Baining Guo	N/A	Code
FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization	Jiawei Yang · Marco Pavone · Yue Wang	N/A	Code
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory	Sicheng Li · Hao Li · Yue Wang · Yiyi Liao · Lu Yu	N/A	Code
Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks	Jierun Chen · Shiu-hong Kao · Hao He · Weipeng Zhuo · Song Wen · Chul-Ho Lee · S.-H. Gary Chan	N/A	Code
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning	Cheng Tan · Zhangyang Gao · Lirong Wu · Yongjie Xu · Jun Xia · Siyuan Li · Stan Z. Li	N/A	Code
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module	Linzhi Huang · Yulong Li · Hongbo Tian · Yue Yang · Xiangang Li · Weihong Deng · Jieping Ye	N/A	Code
Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification	Zhengwei Yang · Meng Lin · Xian Zhong · Yu Wu · Zheng Wang	N/A	Code
Feature Alignment and Uniformity for Test Time Adaptation	Shuai Wang · Daoan Zhang · Zipei Yan · Jianguo Zhang · Rui Li	N/A	Code
AeDet: Azimuth-Invariant Multi-View 3D Object Detection	Chengjian Feng · Zequn Jie · Yujie Zhong · Xiangxiang Chu · Lin Ma	N/A	Code
Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need	Tong Wei · Kai Gan	N/A	Code
OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization	Ying Zhao	N/A	Code
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization	Sungyeon Kim · Boseung Jeong · Suha Kwak	N/A	Code
Generative Diffusion Prior for Unified Image Restoration and Enhancement	Ben Fei · Zhaoyang Lyu · Liang Pan · Junzhe Zhang · Weidong Yang · Tianyue Luo · Bo Zhang · Bo Dai	N/A	Code
Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder	Aming Wu · Cheng Deng	N/A	Code
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection	Mikhail Kennerley · Jian-Gang Wang · Bharadwaj Veeravalli · Robby T. Tan	N/A	Code
Linking Garment With Person via Semantically Associated Landmarks for Virtual Try-On	Keyu Yan · Tingwei Gao · Hui Zhang · Chengjun Xie	N/A	Code
A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation	Congqi Cao · Yue Lu · Peng Wang · Yanning Zhang	N/A	Code
DINER: Depth-Aware Image-Based NEural Radiance Fields	Malte Prinzler · Otmar Hilliges · Justus Thies	N/A	Code
Learning Personalized High Quality Volumetric Head Avatars From Monocular RGB Videos	Ziqian Bai · Feitong Tan · Zeng Huang · Kripasindhu Sarkar · Danhang Tang · Di Qiu · Abhimitra Meka · Ruofei Du · Mingsong Dou · Sergio Orts-Escolano · Rohit Pandey · Ping Tan · Thabo Beeler · Sean Fanello · Yinda Zhang	N/A	Code
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics	Artur Grigorev · Michael J. Black · Otmar Hilliges	N/A	Code
Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation	Shenghai Rong · Bohai Tu · Zilei Wang · Junjie Li	N/A	Code
Instant Volumetric Head Avatars	Wojciech Zielonka · Timo Bolkart · Justus Thies	N/A	Code
From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm	Jie Chen · Zilong Li · Yin Zhu · Junping Zhang · Jian Pu	N/A	Code
Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer	Shubh Maheshwari · Rahul Narain · Ramya Hebbalaguppe	N/A	Code
An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions	Weijia Li · Saihui Hou · Chunjie Zhang · Chunshui Cao · Xu Liu · Yongzhen Huang · Yao Zhao	N/A	Code
Event-Based Shape From Polarization	Manasi Muglikar · Leonard Bauersfeld · Diederik Paul Moeys · Davide Scaramuzza	N/A	Code
Plateau-Reduced Differentiable Path Tracing	Michael Fischer · Tobias Ritschel	N/A	Code
End-to-End Video Matting With Trimap Propagation	Wei-Lun Huang · Ming-Sui Lee	N/A	Code
Weakly-Supervised Single-View Image Relighting	Renjiao Yi · Chenyang Zhu · Kai Xu	N/A	Code
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning	Weixuan Sun · Jiayi Zhang · Jianyuan Wang · Zheyuan Liu · Yiran Zhong · Tianpeng Feng · Yandong Guo · Yanhao Zhang · Nick Barnes	N/A	Code
Non-Contrastive Unsupervised Learning of Physiological Signals From Video	Jeremy Speth · Nathan Vance · Patrick Flynn · Adam Czajka	N/A	Code
Structured Sparsity Learning for Efficient Video Super-Resolution	Bin Xia · Jingwen He · Yulun Zhang · Yitong Wang · Yapeng Tian · Wenming Yang · Luc Van Gool	N/A	Code
ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration	Wei-Ning Hsu · Tal Remez · Bowen Shi · Jacob Donley · Yossi Adi	N/A	Code
Shape, Pose, and Appearance From a Single Image via Bootstrapped Radiance Field Inversion	Dario Pavllo · David Joseph Tan · Marie-Julie Rakotosaona · Federico Tombari	N/A	Code
Towards Better Decision Forests: Forest Alternating Optimization	Miguel Á. Carreira-Perpiñán · Magzhan Gabidolla · Arman Zharmagambetov	N/A	Code
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning	Thomas Stegmüller · Tim Lebailly · Behzad Bozorgtabar · Tinne Tuytelaars · Jean-Philippe Thiran	N/A	Code
Polynomial Implicit Neural Representations for Large Diverse Datasets	Rajhans Singh · Ankita Shukla · Pavan Turaga	N/A	Code
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency	Lin Tian · Hastings Greer · François-Xavier Vialard · Roland Kwitt · Raúl San José Estépar · Richard Jarrett Rushmore · Nikolaos Makris · Sylvain Bouix · Marc Niethammer	N/A	Code
Exploring Discontinuity for Video Frame Interpolation	Sangjin Lee · Hyeongmin Lee · Chajin Shin · Hanbin Son · Sangyoun Lee	N/A	Code
Local 3D Editing via 3D Distillation of CLIP Knowledge	Junha Hyung · Sungwon Hwang · Daejin Kim · Hyunji Lee · Jaegul Choo	N/A	Code
Dynamic Conceptional Contrastive Learning for Generalized Category Discovery	Nan Pu · Zhun Zhong · Nicu Sebe	N/A	Code
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence	Mohammed Alloulah · Maximilian Arnold	N/A	Code
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection	Vibashan VS · Poojan Oza · Vishal M. Patel	N/A	Code
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition	Tianyu Luan · Yuanhao Zhai · Jingjing Meng · Zhong Li · Zhang Chen · Yi Xu · Junsong Yuan	N/A	Code
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions	Dale Decatur · Itai Lang · Rana Hanocka	N/A	Code
Egocentric Video Task Translation	Zihui Xue · Yale Song · Kristen Grauman · Lorenzo Torresani	N/A	Code
Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection	Yi Wang · Ruili Wang · Xin Fan · Tianzhu Wang · Xiangjian He	N/A	Code
Balanced Energy Regularization Loss for Out-of-Distribution Detection	hyunjun choi · Hawook Jeong · Jin Young Choi	N/A	Code
Private Image Generation With Dual-Purpose Auxiliary Classifier	Chen Chen · Daochang Liu · Siqi Ma · Surya Nepal · Chang Xu	N/A	Code
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models	Zhaoyang Lyu · Jinyi Wang · Yuwei An · Ya Zhang · Dahua Lin · Bo Dai	N/A	Code
Neural Video Compression With Diverse Contexts	Jiahao Li · Bin Li · Yan Lu	N/A	Code
Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection	Bo Zhang · Jiakang Yuan · Botian Shi · Tao Chen · Yikang Li · Yu Qiao	N/A	Code
ScarceNet: Animal Pose Estimation With Scarce Annotations	Chen Li · Gim Hee Lee	N/A	Code
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation	Tianlei Jin · Fangtai Guo · Qiwei Meng · Shiqiang Zhu · Xiangming Xi · Wen Wang · Zonghao Mu · Wei Song	N/A	Code
TriDet: Temporal Action Detection With Relative Boundary Modeling	Dingfeng Shi · Yujie Zhong · Qiong Cao · Lin Ma · Jia Li · Dacheng Tao	N/A	Code
Multi-Level Logit Distillation	Ying Jin · Jiaqi Wang · Dahua Lin	N/A	Code
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning	Yuqian Fu · Yu Xie · Yanwei Fu · Yu-Gang Jiang	N/A	Code
Text With Knowledge Graph Augmented Transformer for Video Captioning	Xin Gu · Guang Chen · Yufei Wang · Libo Zhang · Tiejian Luo · Longyin Wen	N/A	Code
Semantic Ray: Learning a Generalizable Semantic Field With Cross-Reprojection Attention	Fangfu Liu · Chubin Zhang · Yu Zheng · Yueqi Duan	N/A	Code
MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models	Dohwan Ko · Joonmyung Choi · Hyeong Kyu Choi · Kyoung-Woon On · Byungseok Roh · Hyunwoo J. Kim	N/A	Code
Self-Supervised AutoFlow	Hsin-Ping Huang · Charles Herrmann · Junhwa Hur · Erika Lu · Kyle Sargent · Austin Stone · Ming-Hsuan Yang · Deqing Sun	N/A	Code
Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images	Bowei Du · Yecheng Huang · Jiaxin Chen · Di Huang	N/A	Code
Context-Based Trit-Plane Coding for Progressive Image Compression	Seungmin Jeon · Kwang Pyo Choi · Youngo Park · Chang-Su Kim	N/A	Code
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses	Junbong Jang · Kwonmoo Lee · Tae-Kyun Kim	N/A	Code
VQACL: A Novel Visual Question Answering Continual Learning Setting	Xi Zhang · Feifei Zhang · Changsheng Xu	N/A	Code
Explicit Visual Prompting for Low-Level Structure Segmentations	Weihuang Liu · Xi Shen · Chi-Man Pun · Xiaodong Cun	N/A	Code
Practical Network Acceleration With Tiny Sets	Guo-Hua Wang · Jianxin Wu	N/A	Code
Sphere-Guided Training of Neural Implicit Surfaces	Andreea Dogaru · Andrei-Timotei Ardelean · Savva Ignatyev · Egor Zakharov · Evgeny Burnaev	N/A	Code
Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection	Huajun Zhou · Bo Qiao · Lingxiao Yang · Jianhuang Lai · Xiaohua Xie	N/A	Code
FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction	Haoran Bai · Di Kang · Haoxian Zhang · Jinshan Pan · Linchao Bao	N/A	Code
Differentiable Shadow Mapping for Efficient Inverse Graphics	Markus Worchel · Marc Alexa	N/A	Code
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation	Wenxuan Zhang · Xiaodong Cun · Xuan Wang · Yong Zhang · Xi Shen · Yu Guo · Ying Shan · Fei Wang	N/A	Code
High-Fidelity and Freely Controllable Talking Head Video Generation	Yue Gao · Yuan Zhou · Jinglu Wang · Xiao Li · Xiang Ming · Yan Lu	N/A	Code
BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation	Junheum Park · Jintae Kim · Chang-Su Kim	N/A	Code
Noisy Correspondence Learning With Meta Similarity Correction	Haochen Han · Kaiyao Miao · Qinghua Zheng · Minnan Luo	N/A	Code
EVAL: Explainable Video Anomaly Localization	Ashish Singh · Michael J. Jones · Erik G. Learned-Miller	N/A	Code
Adaptive Plasticity Improvement for Continual Learning	Yan-Shuo Liang · Wu-Jun Li	N/A	Code
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision	Aditay Tripathi · Rishubh Singh · Anirban Chakraborty · Pradeep Shenoy	N/A	Code
MOSO: Decomposing MOtion, Scene and Object for Video Prediction	Mingzhen Sun · Weining Wang · Xinxin Zhu · Jing Liu	N/A	Code
Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses	Eric Brachmann · Tommaso Cavallari · Victor Adrian Prisacariu	N/A	Code
A Probabilistic Attention Model With Occlusion-Aware Texture Regression for 3D Hand Reconstruction From a Single RGB Image	Zheheng Jiang · Hossein Rahmani · Sue Black · Bryan M. Williams	N/A	Code
Revisiting Rotation Averaging: Uncertainties and Robust Losses	Ganlin Zhang · Viktor Larsson · Daniel Barath	N/A	Code
LiDAR-in-the-Loop Hyperparameter Optimization	Félix Goudreault · Dominik Scheuble · Mario Bijelic · Nicolas Robidoux · Felix Heide	N/A	Code
Query-Dependent Video Representation for Moment Retrieval and Highlight Detection	WonJun Moon · Sangeek Hyun · SangUk Park · Dongchan Park · Jae-Pil Heo	N/A	Code
High-Fidelity 3D Face Generation From Natural Language Descriptions	Menghua Wu · Hao Zhu · Linjia Huang · Yiyu Zhuang · Yuanxun Lu · Xun Cao	N/A	Code
NeRF-Supervised Deep Stereo	Fabio Tosi · Alessio Tonioni · Daniele De Gregorio · Matteo Poggi	N/A	Code
vMAP: Vectorised Object Mapping for Neural Field SLAM	Xin Kong · Shikun Liu · Marwan Taher · Andrew J. Davison	N/A	Code
DiffRF: Rendering-Guided 3D Radiance Field Diffusion	Norman Müller · Yawar Siddiqui · Lorenzo Porzi · Samuel Rota Bulò · Peter Kontschieder · Matthias Nießner	N/A	Code
TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers	Cheng Zhang · Hai Liu · Yongjian Deng · Bochen Xie · Youfu Li	N/A	Code
Learning a Depth Covariance Function	Eric Dexheimer · Andrew J. Davison	N/A	Code
Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model	Rolandos Alexandros Potamias · Stylianos Ploumpis · Stylianos Moschoglou · Vasileios Triantafyllou · Stefanos Zafeiriou	N/A	Code
The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks	Iuri Frosio · Jan Kautz	N/A	Code
Test of Time: Instilling Video-Language Models With a Sense of Time	Piyush Bagad · Makarand Tapaswi · Cees G. M. Snoek	N/A	Code
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects	Bowen Wen · Jonathan Tremblay · Valts Blukis · Stephen Tyree · Thomas Müller · Alex Evans · Dieter Fox · Jan Kautz · Stan Birchfield	N/A	Code
Leveraging Hidden Positives for Unsupervised Semantic Segmentation	Hyun Seok Seong · WonJun Moon · SuBeen Lee · Jae-Pil Heo	N/A	Code
BlendFields: Few-Shot Example-Driven Facial Modeling	Kacper Kania · Stephan J. Garbin · Andrea Tagliasacchi · Virginia Estellers · Kwang Moo Yi · Julien Valentin · Tomasz Trzciński · Marek Kowalski	N/A	Code
CIRCLE: Capture in Rich Contextual Environments	João Pedro Araújo · Jiaman Li · Karthik Vetrivel · Rishi Agarwal · Jiajun Wu · Deepak Gopinath · Alexander William Clegg · Karen Liu	N/A	Code
Realistic Saliency Guided Image Enhancement	S. Mahdi H. Miangoleh · Zoya Bylinskii · Eric Kee · Eli Shechtman · Yağiz Aksoy	N/A	Code
Implicit Neural Head Synthesis via Controllable Local Deformation Fields	Chuhan Chen · Matthew O’Toole · Gaurav Bharaj · Pablo Garrido	N/A	Code
Ensemble-Based Blackbox Attacks on Dense Prediction	Zikui Cai · Yaoteng Tan · M. Salman Asif	N/A	Code
NaQ: Leveraging Narrations As Queries To Supervise Episodic Memory	Santhosh Kumar Ramakrishnan · Ziad Al-Halah · Kristen Grauman	N/A	Code
Rethinking Federated Learning With Domain Shift: A Prototype View	Wenke Huang · Mang Ye · Zekun Shi · He Li · Bo Du	N/A	Code
Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation	Shao-Yuan Lo · Poojan Oza · Sumanth Chennupati · Alejandro Galindo · Vishal M. Patel	N/A	Code
Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection	Jiakang Yuan · Bo Zhang · Xiangchao Yan · Tao Chen · Botian Shi · Yikang Li · Yu Qiao	N/A	Code
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection	Zhenglin Zhou · Huaxia Li · Hong Liu · Nanyang Wang · Gang Yu · Rongrong Ji	N/A	Code
Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement	Xingqun Qi · Chen Liu · Muyi Sun · Lincheng Li · Changjie Fan · Xin Yu	N/A	Code
Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures	Linshan Wu · Zhun Zhong · Leyuan Fang · Xingxin He · Qiang Liu · Jiayi Ma · Hao Chen	N/A	Code
Visual Dependency Transformers: Dependency Tree Emerges From Reversed Attention	Mingyu Ding · Yikang Shen · Lijie Fan · Zhenfang Chen · Zitian Chen · Ping Luo · Joshua B. Tenenbaum · Chuang Gan	N/A	Code
Frame Flexible Network	Yitian Zhang · Yue Bai · Chang Liu · Huan Wang · Sheng Li · Yun Fu	N/A	Code
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks	Hao Li · Jinguo Zhu · Xiaohu Jiang · Xizhou Zhu · Hongsheng Li · Chun Yuan · Xiaohua Wang · Yu Qiao · Xiaogang Wang · Wenhai Wang · Jifeng Dai	N/A	Code
DCFace: Synthetic Face Generation With Dual Condition Diffusion Model	Minchul Kim · Feng Liu · Anil Jain · Xiaoming Liu	N/A	Code
Referring Image Matting	Jizhizi Li · Jing Zhang · Dacheng Tao	N/A	Code
Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids	Wei Dong · Christopher Choy · Charles Loop · Or Litany · Yuke Zhu · Anima Anandkumar	N/A	Code
DPE: Disentanglement of Pose and Expression for General Video Portrait Editing	Youxin Pang · Yong Zhang · Weize Quan · Yanbo Fan · Xiaodong Cun · Ying Shan · Dong-Ming Yan	N/A	Code
IDGI: A Framework To Eliminate Explanation Noise From Integrated Gradients	Ruo Yang · Binghui Wang · Mustafa Bilgic	N/A	Code
DynamicDet: A Unified Dynamic Architecture for Object Detection	Zhihao Lin · Yongtao Wang · Jinhe Zhang · Xiaojie Chu	N/A	Code
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification	Honglin Li · Chenglu Zhu · Yunlong Zhang · Yuxuan Sun · Zhongyi Shui · Wenwei Kuang · Sunyi Zheng · Lin Yang	N/A	Code
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution	Jaeill Kim · Suhyun Kang · Duhun Hwang · Jungwook Shin · Wonjong Rhee	N/A	Code
Semi-Weakly Supervised Object Kinematic Motion Prediction	Gengxin Liu · Qian Sun · Haibin Huang · Chongyang Ma · Yulan Guo · Li Yi · Hui Huang · Ruizhen Hu	N/A	Code
Computational Flash Photography Through Intrinsics	Sepideh Sarajian Maralan · Chris Careaga · Yağiz Aksoy	N/A	Code
Inversion-Based Style Transfer With Diffusion Models	Yuxin Zhang · Nisha Huang · Fan Tang · Haibin Huang · Chongyang Ma · Weiming Dong · Changsheng Xu	N/A	Code
Data-Driven Feature Tracking for Event Cameras	Nico Messikommer · Carter Fang · Mathias Gehrig · Davide Scaramuzza	N/A	Code
QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation	Sicheng Yang · Zhiyong Wu · Minglei Li · Zhensong Zhang · Lei Hao · Weihong Bao · Haolin Zhuang	N/A	Code
Neural Fourier Filter Bank	Zhijie Wu · Yuhe Jin · Kwang Moo Yi	N/A	Code
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective	Yuexiao Ma · Huixia Li · Xiawu Zheng · Xuefeng Xiao · Rui Wang · Shilei Wen · Xin Pan · Fei Chao · Rongrong Ji	N/A	Code
Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns	Javier Gamazo Tejero · Martin S. Zinkernagel · Sebastian Wolf · Raphael Sznitman · Pablo Márquez-Neila	N/A	Code
Trap Attention: Monocular Depth Estimation With Manual Traps	Chao Ning · Hongping Gan	N/A	Code
Physical-World Optical Adversarial Attacks on 3D Face Recognition	Yanjie Li · Yiquan Li · Xuelong Dai · Songtao Guo · Bin Xiao	N/A	Code
Re-Thinking Federated Active Learning Based on Inter-Class Diversity	SangMook Kim · Sangmin Bae · Hwanjun Song · Se-Young Yun	N/A	Code
EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets	Peng Liao · Yaochu Jin · Wenli Du	N/A	Code
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving	Lucas Nunes · Louis Wiesmann · Rodrigo Marcuzzi · Xieyuanli Chen · Jens Behley · Cyrill Stachniss	N/A	Code
Document Image Shadow Removal Guided by Color-Aware Background	Ling Zhang · Yinghao He · Qing Zhang · Zheng Liu · Xiaolong Zhang · Chunxia Xiao	N/A	Code
Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation	Yuanyuan Liu · Wenbin Wang · Yibing Zhan · Shaoze Feng · Kejun Liu · Zhe Chen	N/A	Code
Ham2Pose: Animating Sign Language Notation Into Pose Sequences	Rotem Shalev Arkushin · Amit Moryossef · Ohad Fried	N/A	Code
Resource-Efficient RGBD Aerial Tracking	Jinyu Yang · Shang Gao · Zhe Li · Feng Zheng · Aleš Leonardis	N/A	Code
Neural Transformation Fields for Arbitrary-Styled Font Generation	Bin Fu · Junjun He · Jianjun Wang · Yu Qiao	N/A	Code
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection	Qianjiang Hu · Daizong Liu · Wei Hu	N/A	Code
PAniC-3D: Stylized Single-View 3D Reconstruction From Portraits of Anime Characters	Shuhong Chen · Kevin Zhang · Yichun Shi · Heng Wang · Yiheng Zhu · Guoxian Song · Sizhe An · Janus Kristjansson · Xiao Yang · Matthias Zwicker	N/A	Code
HS-Pose: Hybrid Scope Feature Extraction for Category-Level Object Pose Estimation	Linfang Zheng · Chen Wang · Yinghan Sun · Esha Dasgupta · Hua Chen · Aleš Leonardis · Wei Zhang · Hyung Jin Chang	N/A	Code
A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction From In-the-Wild Images	Biwen Lei · Jianqiang Ren · Mengyang Feng · Miaomiao Cui · Xuansong Xie	N/A	Code
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification	Yue Yang · Artemis Panagopoulou · Shenghao Zhou · Daniel Jin · Chris Callison-Burch · Mark Yatskar	N/A	Code
SfM-TTR: Using Structure From Motion for Test-Time Refinement of Single-View Depth Networks	Sergio Izquierdo · Javier Civera	N/A	Code
TINC: Tree-Structured Implicit Neural Compression	Runzhao Yang	N/A	Code
Cross-Domain Image Captioning With Discriminative Finetuning	Roberto Dessì · Michele Bevilacqua · Eleonora Gualdoni · Nathanaël Carraz Rakotonirina · Francesca Franzon · Marco Baroni	N/A	Code
Learning To Detect Mirrors From Videos via Dual Correspondences	Jiaying Lin · Xin Tan · Rynson W.H. Lau	N/A	Code
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation	Zicheng Wang · Zhen Zhao · Xiaoxia Xing · Dong Xu · Xiangyu Kong · Luping Zhou	N/A	Code
Robust Unsupervised StyleGAN Image Restoration	Yohan Poirier-Ginter · Jean-François Lalonde	N/A	Code
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning	Rui Wang · Dongdong Chen · Zuxuan Wu · Yinpeng Chen · Xiyang Dai · Mengchen Liu · Lu Yuan · Yu-Gang Jiang	N/A	Code
Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes	Zian Wang · Tianchang Shen · Jun Gao · Shengyu Huang · Jacob Munkberg · Jon Hasselgren · Zan Gojcic · Wenzheng Chen · Sanja Fidler	N/A	Code
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation	Zhen Zhao · Lihe Yang · Sifan Long · Jimin Pi · Luping Zhou · Jingdong Wang	N/A	Code
Policy Adaptation From Foundation Model Feedback	Yuying Ge · Annabella Macaluso · Li Erran Li · Ping Luo · Xiaolong Wang	N/A	Code
Person Image Synthesis via Denoising Diffusion Model	Ankan Kumar Bhunia · Salman Khan · Hisham Cholakkal · Rao Muhammad Anwer · Jorma Laaksonen · Mubarak Shah · Fahad Shahbaz Khan	N/A	Code
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition With Pre-Trained Vision-Language Models	Wenhao Wu · Xiaohan Wang · Haipeng Luo · Jingdong Wang · Yi Yang · Wanli Ouyang	N/A	Code
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution	Jiezhang Cao · Qin Wang · Yongqin Xian · Yawei Li · Bingbing Ni · Zhiming Pi · Kai Zhang · Yulun Zhang · Radu Timofte · Luc Van Gool	N/A	Code
Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation	Phoenix Neale Williams · Ke Li	N/A	Code
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage	Haozhe Liu · Wentian Zhang · Bing Li · Haoqian Wu · Nanjun He · Yawen Huang · Yuexiang Li · Bernard Ghanem · Yefeng Zheng	N/A	Code
ViTs for SITS: Vision Transformers for Satellite Image Time Series	Michail Tarasiou · Erik Chavez · Stefanos Zafeiriou	N/A	Code
Latency Matters: Real-Time Action Forecasting Transformer	Harshayu Girase · Nakul Agarwal · Chiho Choi · Karttikeya Mangalam	N/A	Code
Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction	Oleg Voynov · Gleb Bobrovskikh · Pavel Karpyshev · Saveliy Galochkin · Andrei-Timotei Ardelean · Arseniy Bozhenko · Ekaterina Karmanova · Pavel Kopanev · Yaroslav Labutin-Rymsho · Ruslan Rakhimov · Aleksandr Safin · Valerii Serpiva · Alexey Artemov · Evgeny Burnaev · Dzmitry Tsetserukou · Denis Zorin	N/A	Code
Learning From Noisy Labels With Decoupled Meta Label Purifier	Yuanpeng Tu · Boshen Zhang · Yuxi Li · Liang Liu · Jian Li · Yabiao Wang · Chengjie Wang · Cai Rong Zhao	N/A	Code
Flow Supervision for Deformable NeRF	Chaoyang Wang · Lachlan Ewen MacDonald · László A. Jeni · Simon Lucey	N/A	Code
Unifying Vision, Text, and Layout for Universal Document Processing	Zineng Tang · Ziyi Yang · Guoxin Wang · Yuwei Fang · Yang Liu · Chenguang Zhu · Michael Zeng · Cha Zhang · Mohit Bansal	N/A	Code
BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos	Jennifer J. Sun · Lili Karashchuk · Amil Dravid · Serim Ryou · Sonia Fereidooni · John C. Tuthill · Aggelos Katsaggelos · Bingni W. Brunton · Georgia Gkioxari · Ann Kennedy · Yisong Yue · Pietro Perona	N/A	Code
Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning	Zixuan Hu · Li Shen · Zhenyi Wang · Tongliang Liu · Chun Yuan · Dacheng Tao	N/A	Code
RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis	Luwen Duan · Min Wu · Lijian Mao · Jun Yin · Jianping Xiong · Xi Li	N/A	Code
Meta Architecture for Point Cloud Analysis	Haojia Lin · Xiawu Zheng · Lijiang Li · Fei Chao · Shanshan Wang · Yan Wang · Yonghong Tian · Rongrong Ji	N/A	Code
DyLiN: Making Light Field Networks Dynamic	Heng Yu · Joel Julin · Zoltán Á. Milacski · Koichiro Niinuma · László A. Jeni	N/A	Code
OpenMix: Exploring Outlier Samples for Misclassification Detection	Fei Zhu · Zhen Cheng · Xu-Yao Zhang · Cheng-Lin Liu	N/A	Code
Adaptive Graph Convolutional Subspace Clustering	Lai Wei · Zhengwei Chen · Jun Yin · Changming Zhu · Rigui Zhou · Jin Liu	N/A	Code
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation	Guozhen Zhang · Yuhan Zhu · Haonan Wang · Youxin Chen · Gangshan Wu · Limin Wang	N/A	Code
Hybrid Active Learning via Deep Clustering for Video Action Detection	Aayush J. Rana · Yogesh S. Rawat	N/A	Code
Equiangular Basis Vectors	Yang Shen · Xuhao Sun · Xiu-Shen Wei	N/A	Code
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection	Shuailei Ma · Yuefeng Wang · Ying Wei · Jiaqi Fan · Thomas H. Li · Hongli Liu · Fanbing Lv	N/A	Code
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity	Zhao Xie · Tian Gao · Kewei Wu · Jiao Chang	N/A	Code
GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering	Weiqing Yan · Yuanyang Zhang · Chenlei Lv · Chang Tang · Guanghui Yue · Liang Liao · Weisi Lin	N/A	Code
Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning	Zesen Wu · Mang Ye	N/A	Code
Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding	Tal Shaharabany · Lior Wolf	N/A	Code
DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization	Richard Liu · Noam Aigerman · Vladimir G. Kim · Rana Hanocka	N/A	Code
BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency	Shuo Yang · Zhaopan Xu · Kai Wang · Yang You · Hongxun Yao · Tongliang Liu · Min Xu	N/A	Code
DaFKD: Domain-Aware Federated Knowledge Distillation	Haozhao Wang · Yichen Li · Wenchao Xu · Ruixuan Li · Yufeng Zhan · Zhigang Zeng	N/A	Code
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take	Ce Liu · Suryansh Kumar · Shuhang Gu · Radu Timofte · Luc Van Gool	N/A	Code
Align Your Latents: High-Resolution Video Synthesis With Latent Diffusion Models	Andreas Blattmann · Robin Rombach · Huan Ling · Tim Dockhorn · Seung Wook Kim · Sanja Fidler · Karsten Kreis	N/A	Code
GeoLayoutLM: Geometric Pre-Training for Visual Information Extraction	Chuwei Luo · Changxu Cheng · Qi Zheng · Cong Yao	N/A	Code
VideoMAE V2: Scaling Video Masked Autoencoders With Dual Masking	Limin Wang · Bingkun Huang · Zhiyu Zhao · Zhan Tong · Yinan He · Yi Wang · Yali Wang · Yu Qiao	N/A	Code
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment	Jiangbin Zheng · Yile Wang · Cheng Tan · Siyuan Li · Ge Wang · Jun Xia · Yidong Chen · Stan Z. Li	N/A	Code
All Are Worth Words: A ViT Backbone for Diffusion Models	Fan Bao · Shen Nie · Kaiwen Xue · Yue Cao · Chongxuan Li · Hang Su · Jun Zhu	N/A	Code
PanoSwin: A Pano-Style Swin Transformer for Panorama Understanding	Zhixin Ling · Zhen Xing · Xiangdong Zhou · Manliang Cao · Guichun Zhou	N/A	Code
sRGB Real Noise Synthesizing With Neighboring Correlation-Aware Noise Model	Zixuan Fu · Lanqing Guo · Bihan Wen	N/A	Code
Extracting Class Activation Maps From Non-Discriminative Features As Well	Zhaozheng Chen · Qianru Sun	N/A	Code
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task	Huiping Zhuang · Zhenyu Weng · Run He · Zhiping Lin · Ziqian Zeng	N/A	Code
ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer	Shen Lin · Xiaoyu Zhang · Chenyang Chen · Xiaofeng Chen · Willy Susilo	N/A	Code
PDPP:Projected Diffusion for Procedure Planning in Instructional Videos	Hanlin Wang · Yilu Wu · Sheng Guo · Limin Wang	N/A	Code
NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction	Bowen Cai · Jinchi Huang · Rongfei Jia · Chengfei Lv · Huan Fu	N/A	Code
Deep Polarization Reconstruction With PDAVIS Events	Haiyang Mei · Zuowen Wang · Xin Yang · Xiaopeng Wei · Tobi Delbruck	N/A	Code
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers	Sifan Long · Zhen Zhao · Jimin Pi · Shengsheng Wang · Jingdong Wang	N/A	Code
PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering	Fuchen Long · Ting Yao · Zhaofan Qiu · Lusong Li · Tao Mei	N/A	Code
PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning	Huiwei Lin · Baoquan Zhang · Shanshan Feng · Xutao Li · Yunming Ye	N/A	Code
Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval	Tan Pan · Furong Xu · Xudong Yang · Sifeng He · Chen Jiang · Qingpei Guo · Feng Qian · Xiaobo Zhang · Yuan Cheng · Lei Yang · Wei Chu	N/A	Code
PermutoSDF: Fast Multi-View Reconstruction With Implicit Surfaces Using Permutohedral Lattices	Radu Alexandru Rosu · Sven Behnke	N/A	Code
StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis	Hao Li · Xianxu Hou · Zepeng Huang · Linlin Shen	N/A	Code
MixNeRF: Modeling a Ray With Mixture Density for Novel View Synthesis From Sparse Inputs	Seunghyeon Seo · Donghoon Han · Yeonjin Chang · Nojun Kwak	N/A	Code
Upcycling Models Under Domain and Category Shift	Sanqing Qu · Tianpei Zou · Florian Röhrbein · Cewu Lu · Guang Chen · Dacheng Tao · Changjun Jiang	N/A	Code
Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors	Yongqiang Zhang · Zhipeng Hu · Haoqian Wu · Minda Zhao · Lincheng Li · Zhengxia Zou · Changjie Fan	N/A	Code
Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model	Yuming Du · Robin Kips · Albert Pumarola · Sebastian Starke · Ali Thabet · Artsiom Sanakoyeu	N/A	Code
MoStGAN-V: Video Generation With Temporal Motion Styles	Xiaoqian Shen · Xiang Li · Mohamed Elhoseiny	N/A	Code
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks	HyunJun Jung · Patrick Ruhkamp · Guangyao Zhai · Nikolas Brasch · Yitong Li · Yannick Verdie · Jifei Song · Yiren Zhou · Anil Armagan · Slobodan Ilic · Aleš Leonardis · Nassir Navab · Benjamin Busam	N/A	Code
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting	Aayush Kumar Tyagi · Chirag Mohapatra · Prasenjit Das · Govind Makharia · Lalita Mehra · Prathosh AP · Mausam	N/A	Code
Learning Action Changes by Measuring Verb-Adverb Textual Relationships	Davide Moltisanti · Frank Keller · Hakan Bilen · Laura Sevilla-Lara	N/A	Code
Interactive and Explainable Region-Guided Radiology Report Generation	Tim Tanida · Philip Müller · Georgios Kaissis · Daniel Rueckert	N/A	Code
Learning Neural Volumetric Representations of Dynamic Humans in Minutes	Chen Geng · Sida Peng · Zhen Xu · Hujun Bao · Xiaowei Zhou	N/A	Code
Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt	Hao Li · Dingwen Zhang · Nian Liu · Lechao Cheng · Yalun Dai · Chao Zhang · Xinggang Wang · Junwei Han	N/A	Code
Learning Rotation-Equivariant Features for Visual Correspondence	Jongmin Lee · Byungjin Kim · Seungwook Kim · Minsu Cho	N/A	Code
Co-Training 2L Submodels for Visual Recognition	Hugo Touvron · Matthieu Cord · Maxime Oquab · Piotr Bojanowski · Jakob Verbeek · Hervé Jégou	N/A	Code
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search	Jiechao Yang · Yong Liu · Hongteng Xu	N/A	Code
LANA: A Language-Capable Navigator for Instruction Following and Generation	Xiaohan Wang · Wenguan Wang · Jiayi Shao · Yi Yang	N/A	Code
Visual Localization Using Imperfect 3D Models From the Internet	Vojtech Panek · Zuzana Kukelova · Torsten Sattler	N/A	Code
Diversity-Measurable Anomaly Detection	Wenrui Liu · Hong Chang · Bingpeng Ma · Shiguang Shan · Xilin Chen	N/A	Code
SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization	Juliette Marrie · Michael Arbel · Diane Larlus · Julien Mairal	N/A	Code
Recurrent Vision Transformers for Object Detection With Event Cameras	Mathias Gehrig · Davide Scaramuzza	N/A	Code
Efficient Verification of Neural Networks Against LVM-Based Specifications	Harleen Hanspal · Alessio Lomuscio	N/A	Code
Neuralizer: General Neuroimage Analysis Without Re-Training	Steffen Czolbe · Adrian V. Dalca	N/A	Code
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning Meets Knowledge Distillation	Roy Miles · Mehmet Kerim Yucel · Bruno Manganelli · Albert Saà-Garriga	N/A	Code
SCOTCH and SODA: A Transformer Video Shadow Detection Framework	Lihao Liu · Jean Prost · Lei Zhu · Nicolas Papadakis · Pietro Liò · Carola-Bibiane Schönlieb · Angelica I. Aviles-Rivero	N/A	Code
A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance	Xianmin Xu · Yuxin Lin · Haoyang Zhou · Chong Zeng · Yaxin Yu · Kun Zhou · Hongzhi Wu	N/A	Code
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures	Eugenia Iofinova · Alexandra Peste · Dan Alistarh	N/A	Code
InstructPix2Pix: Learning To Follow Image Editing Instructions	Tim Brooks · Aleksander Holynski · Alexei A. Efros	N/A	Code
AnchorFormer: Point Cloud Completion From Discriminative Nodes	Zhikai Chen · Fuchen Long · Zhaofan Qiu · Ting Yao · Wengang Zhou · Jiebo Luo · Tao Mei	N/A	Code
Robust Test-Time Adaptation in Dynamic Scenarios	Longhui Yuan · Binhui Xie · Shuang Li	N/A	Code
AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers	Zechuan Li · Hongshan Yu · Zhengeng Yang · Tongjia Chen · Naveed Akhtar	N/A	Code
Neural Texture Synthesis With Guided Correspondence	Yang Zhou · Kaijian Chen · Rongjun Xiao · Hui Huang	N/A	Code
Learning To Render Novel Views From Wide-Baseline Stereo Pairs	Yilun Du · Cameron Smith · Ayush Tewari · Vincent Sitzmann	N/A	Code
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision	Fangqiang Ding · Andras Palffy · Dariu M. Gavrila · Chris Xiaoxuan Lu	N/A	Code
SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation	Rita Ramos · Bruno Martins · Desmond Elliott · Yova Kementchedjhieva	N/A	Code
PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers	Jiacong Xu · Zixiang Xiong · Shankar P. Bhattacharyya	N/A	Code
NeRFLight: Fast and Light Neural Radiance Fields Using a Shared Feature Grid	Fernando Rivas-Manzaneque · Jorge Sierra-Acosta · Adrian Penate-Sanchez · Francesc Moreno-Noguer · Angela Ribeiro	N/A	Code
Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts	Nikolas Lamb · Cameron Palmer · Benjamin Molloy · Sean Banerjee · Natasha Kholgade Banerjee	N/A	Code
PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration	Junle Yu · Luwei Ren · Yu Zhang · Wenhui Zhou · Lili Lin · Guojun Dai	N/A	Code
Neural Volumetric Memory for Visual Locomotion Control	Ruihan Yang · Ge Yang · Xiaolong Wang	N/A	Code
InstantAvatar: Learning Avatars From Monocular Video in 60 Seconds	Tianjian Jiang · Xu Chen · Jie Song · Otmar Hilliges	N/A	Code
TMO: Textured Mesh Acquisition of Objects With a Mobile Device by Using Differentiable Rendering	Jaehoon Choi · Dongki Jung · Taejae Lee · Sangwook Kim · Youngdong Jung · Dinesh Manocha · Donghwan Lee	N/A	Code
MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding	Jun Chen · Ming Hu · Darren J. Coker · Michael L. Berumen · Blair Costelloe · Sara Beery · Anna Rohrbach · Mohamed Elhoseiny	N/A	Code
Towards Fast Adaptation of Pretrained Contrastive Models for Multi-Channel Video-Language Retrieval	Xudong Lin · Simran Tiwari · Shiyuan Huang · Manling Li · Mike Zheng Shou · Heng Ji · Shih-Fu Chang	N/A	Code
Hierarchical Fine-Grained Image Forgery Detection and Localization	Xiao Guo · Xiaohong Liu · Zhiyuan Ren · Steven Grosz · Iacopo Masi · Xiaoming Liu	N/A	Code
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision	Xubo Liu · Egor Lakomkin · Konstantinos Vougioukas · Pingchuan Ma · Honglie Chen · Ruiming Xie · Morrie Doulaty · Niko Moritz · Jachym Kolar · Stavros Petridis · Maja Pantic · Christian Fuegen	N/A	Code
RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts	Han Liu · Yuhao Wu · Shixuan Zhai · Bo Yuan · Ning Zhang	N/A	Code
Unsupervised Intrinsic Image Decomposition With LiDAR Intensity	Shogo Sato · Yasuhiro Yao · Taiga Yoshida · Takuhiro Kaneko · Shingo Ando · Jun Shimamura	N/A	Code
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples	Han Liu · Yuhao Wu · Zhiyuan Yu · Yevgeniy Vorobeychik · Ning Zhang	N/A	Code
NeFII: Inverse Rendering for Reflectance Decomposition With Near-Field Indirect Illumination	Haoqian Wu · Zhipeng Hu · Lincheng Li · Yongqiang Zhang · Changjie Fan · Xin Yu	N/A	Code
BEV-Guided Multi-Modality Fusion for Driving Perception	Yunze Man · Liang-Yan Gui · Yu-Xiong Wang	N/A	Code
MAGVLT: Masked Generative Vision-and-Language Transformer	Sungwoong Kim · Daejin Jo · Donghoon Lee · Jongmin Kim	N/A	Code
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training	Qingjie Zeng · Yutong Xie · Zilin Lu · Yong Xia	N/A	Code
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning	Cheng-Hao Tu · Zheda Mai · Wei-Lun Chao	N/A	Code
Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning	Wenju Sun · Qingyong Li · Jing Zhang · Wen Wang · Yangli-ao Geng	N/A	Code
PMR: Prototypical Modal Rebalance for Multimodal Learning	Yunfeng Fan · Wenchao Xu · Haozhao Wang · Junxiao Wang · Song Guo	N/A	Code
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks	Samyak Jain · Sravanti Addepalli · Pawan Kumar Sahu · Priyam Dey · R. Venkatesh Babu	N/A	Code
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven’s Progressive Matrices	Jingyi Xu · Tushar Vaidya · Yufei Wu · Saket Chandra · Zhangsheng Lai · Kai Fong Ernest Chong	N/A	Code
Swept-Angle Synthetic Wavelength Interferometry	Alankar Kotwal · Anat Levin · Ioannis Gkioulekas	N/A	Code
Passive Micron-Scale Time-of-Flight With Sunlight Interferometry	Alankar Kotwal · Anat Levin · Ioannis Gkioulekas	N/A	Code
Meta-Learning With a Geometry-Adaptive Preconditioner	Suhyun Kang · Duhun Hwang · Moonjung Eo · Taesup Kim · Wonjong Rhee	N/A	Code
3D GAN Inversion With Facial Symmetry Prior	Fei Yin · Yong Zhang · Xuan Wang · Tengfei Wang · Xiaoyu Li · Yuan Gong · Yanbo Fan · Xiaodong Cun · Ying Shan · Cengiz Oztireli · Yujiu Yang	N/A	Code
ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection	Yongqi An · Xu Zhao · Tao Yu · Haiyun Guo · Chaoyang Zhao · Ming Tang · Jinqiao Wang	N/A	Code
Neural Lens Modeling	Wenqi Xian · Aljaž Božič · Noah Snavely · Christoph Lassner	N/A	Code
A Probabilistic Framework for Lifelong Test-Time Adaptation	Dhanajit Brahma · Piyush Rai	N/A	Code
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation	Linglan Zhao · Jing Lu · Yunlu Xu · Zhanzhan Cheng · Dashan Guo · Yi Niu · Xiangzhong Fang	N/A	Code
GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting	Kangyang Luo · Xiang Li · Yunshi Lan · Ming Gao	N/A	Code
Hyperspherical Embedding for Point Cloud Completion	Junming Zhang · Haomeng Zhang · Ram Vasudevan · Matthew Johnson-Roberson	N/A	Code
Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning	Hyesong Choi · Hunsang Lee · Wonil Song · Sangryul Jeon · Kwanghoon Sohn · Dongbo Min	N/A	Code
Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation	Sun-Ao Liu · Yiheng Zhang · Zhaofan Qiu · Hongtao Xie · Yongdong Zhang · Ting Yao	N/A	Code
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment	Heyuan Li · Bo Wang · Yu Cheng · Mohan Kankanhalli · Robby T. Tan	N/A	Code
SViTT: Temporal Learning of Sparse Video-Text Transformers	Yi Li · Kyle Min · Subarna Tripathi · Nuno Vasconcelos	N/A	Code
Independent Component Alignment for Multi-Task Learning	Dmitry Senushkin · Nikolay Patakin · Arseny Kuznetsov · Anton Konushin	N/A	Code
Logical Implications for Visual Question Answering Consistency	Sergio Tascon-Morales · Pablo Márquez-Neila · Raphael Sznitman	N/A	Code
MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset	Chen Feng · Ioannis Patras	N/A	Code
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks	Wenhui Wang · Hangbo Bao · Li Dong · Johan Bjorck · Zhiliang Peng · Qiang Liu · Kriti Aggarwal · Owais Khan Mohammed · Saksham Singhal · Subhojit Som · Furu Wei	N/A	Code
Manipulating Transfer Learning for Property Inference	Yulong Tian · Fnu Suya · Anshuman Suri · Fengyuan Xu · David Evans	N/A	Code
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium	Antyanta Bangunharcana · Ahmed Magd · Kyung-Soo Kim	N/A	Code
Learning a 3D Morphable Face Reflectance Model From Low-Cost Data	Yuxuan Han · Zhibo Wang · Feng Xu	N/A	Code
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions	Tobias Kalb · Jürgen Beyerer	N/A	Code
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models	Gowthami Somepalli · Vasu Singla · Micah Goldblum · Jonas Geiping · Tom Goldstein	N/A	Code
Adaptive Data-Free Quantization	Biao Qian · Yang Wang · Richang Hong · Meng Wang	N/A	Code
Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning	Sungnyun Kim · Sangmin Bae · Se-Young Yun	N/A	Code
Jedi: Entropy-Based Localization and Removal of Adversarial Patches	Bilel Tarchoun · Anouar Ben Khalifa · Mohamed Ali Mahjoub · Nael Abu-Ghazaleh · Ihsen Alouani	N/A	Code
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models	Qiucheng Wu · Yujian Liu · Handong Zhao · Ajinkya Kale · Trung Bui · Tong Yu · Zhe Lin · Yang Zhang · Shiyu Chang	N/A	Code
Semantic-Conditional Diffusion Networks for Image Captioning	Jianjie Luo · Yehao Li · Yingwei Pan · Ting Yao · Jianlin Feng · Hongyang Chao · Tao Mei	N/A	Code
Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation	Zhen Zhao · Sifan Long · Jimin Pi · Jingdong Wang · Luping Zhou	N/A	Code
Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation	Aakanksha Aakanksha · A. N. Rajagopalan	N/A	Code
MetaViewer: Towards a Unified Multi-View Representation	Ren Wang · Haoliang Sun · Yuling Ma · Xiaoming Xi · Yilong Yin	N/A	Code
Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization	Simone Barattin · Christos Tzelepis · Ioannis Patras · Nicu Sebe	N/A	Code
A Light Weight Model for Active Speaker Detection	Junhua Liao · Haihan Duan · Kanghui Feng · Wanbing Zhao · Yanbing Yang · Liangyin Chen	N/A	Code
Shifted Diffusion for Text-to-Image Generation	Yufan Zhou · Bingchen Liu · Yizhe Zhu · Xiao Yang · Changyou Chen · Jinhui Xu	N/A	Code
Modular Memorability: Tiered Representations for Video Memorability Prediction	Théo Dumont · Juan Segundo Hevia · Camilo L. Fosco	N/A	Code
Learning Articulated Shape With Keypoint Pseudo-Labels From Web Images	Anastasis Stathopoulos · Georgios Pavlakos · Ligong Han · Dimitris N. Metaxas	N/A	Code
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases	Abhipsa Basu · Sravanti Addepalli · R. Venkatesh Babu	N/A	Code
RealImpact: A Dataset of Impact Sound Fields for Real Objects	Samuel Clarke · Ruohan Gao · Mason Wang · Mark Rau · Julia Xu · Jui-Hsien Wang · Doug L. James · Jiajun Wu	N/A	Code
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models	Nilesh Ahuja · Parual Datta · Bhavya Kanzariya · V. Srinivasa Somayazulu · Omesh Tickoo	N/A	Code
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics	Jialu Li · Mohit Bansal	N/A	Code
Simulated Annealing in Early Layers Leads to Better Generalization	Amir M. Sarfi · Zahra Karimpour · Muawiz Chaudhary · Nasir M. Khalid · Mirco Ravanelli · Sudhir Mudur · Eugene Belilovsky	N/A	Code
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models	Jiaxian Guo · Junnan Li · Dongxu Li · Anthony Meng Huat Tiong · Boyang Li · Dacheng Tao · Steven Hoi	N/A	Code
Where We Are and What We’re Looking At: Query Based Worldwide Image Geo-Localization Using Hierarchies and Scenes	Brandon Clark · Alec Kerrigan · Parth Parag Kulkarni · Vicente Vivanco Cepeda · Mubarak Shah	N/A	Code
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language	Aditya Sanghi · Rao Fu · Vivian Liu · Karl D.D. Willis · Hooman Shayani · Amir H. Khasahmadi · Srinath Sridhar · Daniel Ritchie	N/A	Code
Learning To Generate Text-Grounded Mask for Open-World Semantic Segmentation From Only Image-Text Pairs	Junbum Cha · Jonghwan Mun · Byungseok Roh	N/A	Code
Imitation Learning As State Matching via Differentiable Physics	Siwei Chen · Xiao Ma · Zhongwen Xu	N/A	Code
BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models	Bo Li · Kaitao Xue · Bin Liu · Yu-Kun Lai	N/A	Code
CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning	Jianlong Wu · Haozhe Yang · Tian Gan · Ning Ding · Feijun Jiang · Liqiang Nie	N/A	Code
Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration	Divya Saxena · Jiannong Cao · Jiahao Xu · Tarun Kulshrestha	N/A	Code
Learning Debiased Representations via Conditional Attribute Interpolation	Yi-Kai Zhang · Qi-Wei Wang · De-Chuan Zhan · Han-Jia Ye	N/A	Code
Weakly Supervised Posture Mining for Fine-Grained Classification	Zhenchao Tang · Hualin Yang · Calvin Yu-Chian Chen	N/A	Code
Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models	Cheng Guo · Leidong Fan · Ziyu Xue · Xiuhua Jiang	N/A	Code
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models	Ajay Jain · Amber Xie · Pieter Abbeel	N/A	Code
Adversarial Robustness via Random Projection Filters	Minjing Dong · Chang Xu	N/A	Code
IEEE Computer Society	Unknown	N/A	Code
The Computer Vision Foundation	Unknown	N/A	Code

CVPR 2022

Title	Author	PDF_Link	Code_URL
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation	Yen-Chi Cheng · Hsin-Ying Lee · Sergey Tulyakov · Alexander G. Schwing · Liang-Yan Gui	N/A	Code
Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring	Ruyang Liu · Jingjia Huang · Ge Li · Jiashi Feng · Xinglong Wu · Thomas H. Li	N/A	Code
Post-Processing Temporal Action Detection	Sauradip Nag · Xiatian Zhu · Yi-Zhe Song · Tao Xiang	N/A	Code
Learning Analytical Posterior Probability for Human Mesh Recovery	Qi Fang · Kang Chen · Yinghui Fan · Qing Shuai · Jiefeng Li · Weidong Zhang	N/A	Code
Accidental Light Probes	Hong-Xing Yu · Samir Agarwala · Charles Herrmann · Richard Szeliski · Noah Snavely · Jiajun Wu · Deqing Sun	N/A	Code
Multi-Object Manipulation via Object-Centric Neural Scattering Functions	Stephen Tian · Yancheng Cai · Hong-Xing Yu · Sergey Zakharov · Katherine Liu · Adrien Gaidon · Yunzhu Li · Jiajun Wu	N/A	Code
CFA: Class-Wise Calibrated Fair Adversarial Training	Zeming Wei · Yifei Wang · Yiwen Guo · Yisen Wang	N/A	Code
AutoAD: Movie Description in Context	Tengda Han · Max Bain · Arsha Nagrani · Gül Varol · Weidi Xie · Andrew Zisserman	N/A	Code
Relational Context Learning for Human-Object Interaction Detection	Sanghyun Kim · Deunsol Jung · Minsu Cho	N/A	Code
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations	Hagay Michaeli · Tomer Michaeli · Daniel Soudry	N/A	Code
Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective	Xin Li · Bingchen Li · Xin Jin · Cuiling Lan · Zhibo Chen	N/A	Code
Iterative Vision-and-Language Navigation	Jacob Krantz · Shurjo Banerjee · Wang Zhu · Jason Corso · Peter Anderson · Stefan Lee · Jesse Thomason	N/A	Code
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer	Zhijian Liu · Xinyu Yang · Haotian Tang · Shang Yang · Song Han	N/A	Code
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration	Sheng Ao · Qingyong Hu · Hanyun Wang · Kai Xu · Yulan Guo	N/A	Code
Learning Event Guided High Dynamic Range Video Reconstruction	Yixin Yang · Jin Han · Jinxiu Liang · Imari Sato · Boxin Shi	N/A	Code
3D Line Mapping Revisited	Shaohui Liu · Yifan Yu · Rémi Pautrat · Marc Pollefeys · Viktor Larsson	N/A	Code
High-Fidelity Event-Radiance Recovery via Transient Event Frequency	Jin Han · Yuta Asano · Boxin Shi · Yinqiang Zheng · Imari Sato	N/A	Code
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology	Jeongun Ryu · Aaron Valero Puche · JaeWoong Shin · Seonwook Park · Biagio Brattoli · Jinhee Lee · Wonkyung Jung · Soo Ick Cho · Kyunghyun Paeng · Chan-Young Ock · Donggeun Yoo · Sérgio Pereira	N/A	Code
Blur Interpolation Transformer for Real-World Motion From Blur	Zhihang Zhong · Mingdeng Cao · Xiang Ji · Yinqiang Zheng · Imari Sato	N/A	Code
Continuous Intermediate Token Learning With Implicit Motion Manifold for Keyframe Based Motion Interpolation	Clinton A. Mo · Kun Hu · Chengjiang Long · Zhiyong Wang	N/A	Code
Instant-NVR: Instant Neural Volumetric Rendering for Human-Object Interactions From Monocular RGBD Stream	Yuheng Jiang · Kaixin Yao · Zhuo Su · Zhehao Shen · Haimin Luo · Lan Xu	N/A	Code
HexPlane: A Fast Representation for Dynamic Scenes	Ang Cao · Justin Johnson	N/A	Code
Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models	Sachin Goyal · Ananya Kumar · Sankalp Garg · Zico Kolter · Aditi Raghunathan	N/A	Code
A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others	Zhiheng Li · Ivan Evtimov · Albert Gordo · Caner Hazirbas · Tal Hassner · Cristian Canton Ferrer · Chenliang Xu · Mark Ibrahim	N/A	Code
GIVL: Improving Geographical Inclusivity of Vision-Language Models With Pre-Training Methods	Da Yin · Feng Gao · Govind Thattai · Michael Johnston · Kai-Wei Chang	N/A	Code
Devil’s on the Edges: Selective Quad Attention for Scene Graph Generation	Deunsol Jung · Sanghyun Kim · Won Hwa Kim · Minsu Cho	N/A	Code
GeoMVSNet: Learning Multi-View Stereo With Geometry Perception	Zhe Zhang · Rui Peng · Yuxi Hu · Ronggang Wang	N/A	Code
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability	Fadi Boutros · Meiling Fang · Marcel Klemt · Biying Fu · Naser Damer	N/A	Code
NeuFace: Realistic 3D Neural Face Rendering From Multi-View Images	Mingwu Zheng · Haiyu Zhang · Hongyu Yang · Di Huang	N/A	Code
MethaneMapper: Spectral Absorption Aware Hyperspectral Transformer for Methane Detection	Satish Kumar · Ivan Arevalo · ASM Iftekhar · B S Manjunath	N/A	Code
Re-Thinking Model Inversion Attacks Against Deep Neural Networks	Ngoc-Bao Nguyen · Keshigeyan Chandrasegaran · Milad Abdollahzadeh · Ngai-Man Cheung	N/A	Code
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency	Yang Liu · Yao Zhang · Yixin Wang · Yang Zhang · Jiang Tian · Zhongchao Shi · Jianping Fan · Zhiqiang He	N/A	Code
VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation	Bingchen Yang · Haiyong Jiang · Hao Pan · Jun Xiao	N/A	Code
MARLIN: Masked Autoencoder for Facial Video Representation LearnINg	Zhixi Cai · Shreya Ghosh · Kalin Stefanov · Abhinav Dhall · Jianfei Cai · Hamid Rezatofighi · Reza Haffari · Munawar Hayat	N/A	Code
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation	Kaiwen Cui · Yingchen Yu · Fangneng Zhan · Shengcai Liao · Shijian Lu · Eric P. Xing	N/A	Code
Hierarchical Neural Memory Network for Low Latency Event Processing	Ryuhei Hamaguchi · Yasutaka Furukawa · Masaki Onishi · Ken Sakurada	N/A	Code
Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting	Wei Lin · Antoni B. Chan	N/A	Code
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information	Weijie Su · Xizhou Zhu · Chenxin Tao · Lewei Lu · Bin Li · Gao Huang · Yu Qiao · Xiaogang Wang · Jie Zhou · Jifeng Dai	N/A	Code
Revisiting Reverse Distillation for Anomaly Detection	Tran Dinh Tien · Anh Tuan Nguyen · Nguyen Hoang Tran · Ta Duc Huy · Soan T.M. Duong · Chanh D. Tr. Nguyen · Steven Q. H. Truong	N/A	Code
Conditional Generation of Audio From Video via Foley Analogies	Yuexi Du · Ziyang Chen · Justin Salamon · Bryan Russell · Andrew Owens	N/A	Code
Parameter Efficient Local Implicit Image Function Network for Face Segmentation	Mausoom Sarkar · Nikitha SR · Mayur Hemani · Rishabh Jain · Balaji Krishnamurthy	N/A	Code
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform	Yutaro Shigeto · Masashi Shimbo · Yuya Yoshikawa · Akikazu Takeuchi	N/A	Code
FaceLit: Neural 3D Relightable Faces	Anurag Ranjan · Kwang Moo Yi · Jen-Hao Rick Chang · Oncel Tuzel	N/A	Code
Pointersect: Neural Rendering With Cloud-Ray Intersection	Jen-Hao Rick Chang · Wei-Yu Chen · Anurag Ranjan · Kwang Moo Yi · Oncel Tuzel	N/A	Code
High-Fidelity Clothed Avatar Reconstruction From a Single Image	Tingting Liao · Xiaomei Zhang · Yuliang Xiu · Hongwei Yi · Xudong Liu · Guo-Jun Qi · Yong Zhang · Xuan Wang · Xiangyu Zhu · Zhen Lei	N/A	Code
BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields	Peng Wang · Lingzhe Zhao · Ruijie Ma · Peidong Liu	N/A	Code
Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection	Berkan Demirel · Orhun Buğra Baran · Ramazan Gokberk Cinbis	N/A	Code
StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields	Kunhao Liu · Fangneng Zhan · Yiwen Chen · Jiahui Zhang · Yingchen Yu · Abdulmotaleb El Saddik · Shijian Lu · Eric P. Xing	N/A	Code
DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting	Maoyuan Ye · Jing Zhang · Shanshan Zhao · Juhua Liu · Tongliang Liu · Bo Du · Dacheng Tao	N/A	Code
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution	Jie-En Yao · Li-Yuan Tsao · Yi-Chen Lo · Roy Tseng · Chia-Che Chang · Chun-Yi Lee	N/A	Code
LAVENDER: Unifying Video-Language Understanding As Masked Language Modeling	Linjie Li · Zhe Gan · Kevin Lin · Chung-Ching Lin · Zicheng Liu · Ce Liu · Lijuan Wang	N/A	Code
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution	Hao-Wei Chen · Yu-Syuan Xu · Min-Fong Hong · Yi-Min Tsai · Hsien-Kai Kuo · Chun-Yi Lee	N/A	Code
Fair Federated Medical Image Segmentation via Client Contribution Estimation	Meirui Jiang · Holger R. Roth · Wenqi Li · Dong Yang · Can Zhao · Vishwesh Nath · Daguang Xu · Qi Dou · Ziyue Xu	N/A	Code
An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling	Tsu-Jui Fu · Linjie Li · Zhe Gan · Kevin Lin · William Yang Wang · Lijuan Wang · Zicheng Liu	N/A	Code
ReCo: Region-Controlled Text-to-Image Generation	Zhengyuan Yang · Jianfeng Wang · Zhe Gan · Linjie Li · Kevin Lin · Chenfei Wu · Nan Duan · Zicheng Liu · Ce Liu · Michael Zeng · Lijuan Wang	N/A	Code
Uncertainty-Aware Vision-Based Metric Cross-View Geolocalization	Florian Fervers · Sebastian Bullinger · Christoph Bodensteiner · Michael Arens · Rainer Stiefelhagen	N/A	Code
LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation	Guangcong Zheng · Xianpan Zhou · Xuewei Li · Zhongang Qi · Ying Shan · Xi Li	N/A	Code
Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks	Yunrui Yu · Cheng-Zhong Xu	N/A	Code
NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation	Jiefeng Li · Siyuan Bian · Qi Liu · Jiasheng Tang · Fan Wang · Cewu Lu	N/A	Code
3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud	Mingtao Feng · Haoran Hou · Liang Zhang · Zijie Wu · Yulan Guo · Ajmal Mian	N/A	Code
Egocentric Auditory Attention Localization in Conversations	Fiona Ryan · Hao Jiang · Abhinav Shukla · James M. Rehg · Vamsi Krishna Ithapu	N/A	Code
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision	Jiahui Lei · Congyue Deng · Karl Schmeckpeper · Leonidas Guibas · Kostas Daniilidis	N/A	Code
Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning	Shi Chen · Qi Zhao	N/A	Code
Text-Visual Prompting for Efficient 2D Temporal Video Grounding	Yimeng Zhang · Xin Chen · Jinghan Jia · Sijia Liu · Ke Ding	N/A	Code
Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning	Youngjae Yu · Jiwan Chung · Heeseung Yun · Jack Hessel · Jae Sung Park · Ximing Lu · Rowan Zellers · Prithviraj Ammanabrolu · Ronan Le Bras · Gunhee Kim · Yejin Choi	N/A	Code
UniHCP: A Unified Model for Human-Centric Perceptions	Yuanzheng Ci · Yizhou Wang · Meilin Chen · Shixiang Tang · Lei Bai · Feng Zhu · Rui Zhao · Fengwei Yu · Donglian Qi · Wanli Ouyang	N/A	Code
VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval	Siteng Huang · Biao Gong · Yulin Pan · Jianwen Jiang · Yiliang Lv · Yuyuan Li · Donglin Wang	N/A	Code
PointConvFormer: Revenge of the Point-Based Convolution	Wenxuan Wu · Li Fuxin · Qi Shan	N/A	Code
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling	Hyo-Jun Lee · Hanul Kim · Su-Min Choi · Seong-Gyun Jeong · Yeong Jun Koh	N/A	Code
HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining	Shixiang Tang · Cheng Chen · Qingsong Xie · Meilin Chen · Yizhou Wang · Yuanzheng Ci · Lei Bai · Feng Zhu · Haiyang Yang · Li Yi · Rui Zhao · Wanli Ouyang	N/A	Code
Local Connectivity-Based Density Estimation for Face Clustering	Junho Shin · Hyo-Jun Lee · Hyunseop Kim · Jong-Hyeon Baek · Daehyun Kim · Yeong Jun Koh	N/A	Code
DistilPose: Tokenized Pose Regression With Heatmap Distillation	Suhang Ye · Yingyi Zhang · Jie Hu · Liujuan Cao · Shengchuan Zhang · Lei Shen · Jun Wang · Shouhong Ding · Rongrong Ji	N/A	Code
Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks	Weihua Chen · Xianzhe Xu · Jian Jia · Hao Luo · Yaohua Wang · Fan Wang · Rong Jin · Xiuyu Sun	N/A	Code
ViPLO: Vision Transformer Based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection	Jeeseung Park · Jin-Woo Park · Jong-Seok Lee	N/A	Code
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale	Yuxin Fang · Wen Wang · Binhui Xie · Quan Sun · Ledell Wu · Xinggang Wang · Tiejun Huang · Xinlong Wang · Yue Cao	N/A	Code
I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs	Jingsen Zhu · Yuchi Huo · Qi Ye · Fujun Luan · Jifan Li · Dianbing Xi · Lisha Wang · Rui Tang · Wei Hua · Hujun Bao · Rui Wang	N/A	Code
DrapeNet: Garment Generation and Self-Supervised Draping	Luca De Luigi · Ren Li · Benoît Guillard · Mathieu Salzmann · Pascal Fua	N/A	Code
STMixer: A One-Stage Sparse Action Detector	Tao Wu · Mengqi Cao · Ziteng Gao · Gangshan Wu · Limin Wang	N/A	Code
Inverse Rendering of Translucent Objects Using Physical and Neural Renderers	Chenhao Li · Trung Thanh Ngo · Hajime Nagahara	N/A	Code
Humans As Light Bulbs: 3D Human Reconstruction From Thermal Reflection	Ruoshi Liu · Carl Vondrick	N/A	Code
CF-Font: Content Fusion for Few-Shot Font Generation	Chi Wang · Min Zhou · Tiezheng Ge · Yuning Jiang · Hujun Bao · Weiwei Xu	N/A	Code
GLeaD: Improving GANs With a Generator-Leading Task	Qingyan Bai · Ceyuan Yang · Yinghao Xu · Xihui Liu · Yujiu Yang · Yujun Shen	N/A	Code
StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments	Sean Kulinski · Nicholas R. Waytowich · James Z. Hare · David I. Inouye	N/A	Code
WIRE: Wavelet Implicit Neural Representations	Vishwanath Saragadam · Daniel LeJeune · Jasper Tan · Guha Balakrishnan · Ashok Veeraraghavan · Richard G. Baraniuk	N/A	Code
Thermal Spread Functions (TSF): Physics-Guided Material Classification	Aniket Dashpute · Vishwanath Saragadam · Emma Alexander · Florian Willomitzer · Aggelos Katsaggelos · Ashok Veeraraghavan · Oliver Cossairt	N/A	Code
Improving Zero-Shot Generalization and Robustness of Multi-Modal Models	Yunhao Ge · Jie Ren · Andrew Gallagher · Yuxiao Wang · Ming-Hsuan Yang · Hartwig Adam · Laurent Itti · Balaji Lakshminarayanan · Jiaping Zhao	N/A	Code
The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection	Geoffroi Côté · Fahim Mannan · Simon Thibault · Jean-François Lalonde · Felix Heide	N/A	Code
Federated Domain Generalization With Generalization Adjustment	Ruipeng Zhang · Qinwei Xu · Jiangchao Yao · Ya Zhang · Qi Tian · Yanfeng Wang	N/A	Code
Propagate and Calibrate: Real-Time Passive Non-Line-of-Sight Tracking	Yihao Wang · Zhigang Wang · Bin Zhao · Dong Wang · Mulin Chen · Xuelong Li	N/A	Code
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network	Zhengxin Pan · Fangyu Wu · Bailing Zhang	N/A	Code
On the Benefits of 3D Pose and Tracking for Human Action Recognition	Jathushan Rajasegaran · Georgios Pavlakos · Angjoo Kanazawa · Christoph Feichtenhofer · Jitendra Malik	N/A	Code
Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations	Benjamin Ramtoula · Matthew Gadd · Paul Newman · Daniele De Martini	N/A	Code
Fine-Tuned CLIP Models Are Efficient Video Learners	Hanoona Rasheed · Muhammad Uzair Khattak · Muhammad Maaz · Salman Khan · Fahad Shahbaz Khan	N/A	Code
Connecting Vision and Language With Video Localized Narratives	Paul Voigtlaender · Soravit Changpinyo · Jordi Pont-Tuset · Radu Soricut · Vittorio Ferrari	N/A	Code
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance	Sara Fridovich-Keil · Giacomo Meanti · Frederik Rahbæk Warburg · Benjamin Recht · Angjoo Kanazawa	N/A	Code
Virtual Occlusions Through Implicit Depth	Jamie Watson · Mohamed Sayed · Zawar Qureshi · Gabriel J. Brostow · Sara Vicente · Oisin Mac Aodha · Michael Firman	N/A	Code
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories	Samarth Sinha · Roman Shapovalov · Jeremy Reizenstein · Ignacio Rocco · Natalia Neverova · Andrea Vedaldi · David Novotny	N/A	Code
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising	Zichun Wang · Ying Fu · Ji Liu · Yulun Zhang	N/A	Code
One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field	Weichuang Li · Longhao Zhang · Dong Wang · Bin Zhao · Zhigang Wang · Mulin Chen · Bang Zhang · Zhongjian Wang · Liefeng Bo · Xuelong Li	N/A	Code
Collaborative Diffusion for Multi-Modal Face Generation and Editing	Ziqi Huang · Kelvin C.K. Chan · Yuming Jiang · Ziwei Liu	N/A	Code
Blind Video Deflickering by Neural Filtering With a Flawed Atlas	Chenyang Lei · Xuanchi Ren · Zhaoxiang Zhang · Qifeng Chen	N/A	Code
RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension	Jiamu Sun · Gen Luo · Yiyi Zhou · Xiaoshuai Sun · Guannan Jiang · Zhiyu Wang · Rongrong Ji	N/A	Code
HNeRV: A Hybrid Neural Representation for Videos	Hao Chen · Matthew Gwilliam · Ser-Nam Lim · Abhinav Shrivastava	N/A	Code
Learning 3D-Aware Image Synthesis With Unknown Pose Distribution	Zifan Shi · Yujun Shen · Yinghao Xu · Sida Peng · Yiyi Liao · Sheng Guo · Qifeng Chen · Dit-Yan Yeung	N/A	Code
DynaFed: Tackling Client Data Heterogeneity With Global Dynamics	Renjie Pi · Weizhong Zhang · Yueqi Xie · Jiahui Gao · Xiaoyu Wang · Sunghun Kim · Qifeng Chen	N/A	Code
Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition	Jun Cen · Shiwei Zhang · Xiang Wang · Yixuan Pei · Zhiwu Qing · Yingya Zhang · Qifeng Chen	N/A	Code
RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion	Tengfei Wang · Bo Zhang · Ting Zhang · Shuyang Gu · Jianmin Bao · Tadas Baltrusaitis · Jingjing Shen · Dong Chen · Fang Wen · Qifeng Chen · Baining Guo	N/A	Code
IFSeg: Image-Free Semantic Segmentation via Vision-Language Model	Sukmin Yun · Seong Hyeon Park · Paul Hongsuck Seo · Jinwoo Shin	N/A	Code
Detecting Everything in the Open World: Towards Universal Object Detection	Zhenyu Wang · Yali Li · Xi Chen · Ser-Nam Lim · Antonio Torralba · Hengshuang Zhao · Shengjin Wang	N/A	Code
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations	Ziyan Yang · Kushal Kafle · Franck Dernoncourt · Vicente Ordonez	N/A	Code
Temporally Consistent Online Depth Estimation Using Point-Based Fusion	Numair Khan · Eric Penner · Douglas Lanman · Lei Xiao	N/A	Code
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions	Juze Zhang · Haimin Luo · Hongdi Yang · Xinru Xu · Qianyang Wu · Ye Shi · Jingyi Yu · Lan Xu · Jingya Wang	N/A	Code
Token Turing Machines	Michael S. Ryoo · Keerthana Gopalakrishnan · Kumara Kahatapitiya · Ted Xiao · Kanishka Rao · Austin Stone · Yao Lu · Julian Ibarz · Anurag Arnab	N/A	Code
Computationally Budgeted Continual Learning: What Does Matter?	Ameya Prabhu · Hasan Abed Al Kader Hammoud · Puneet K. Dokania · Philip H.S. Torr · Ser-Nam Lim · Bernard Ghanem · Adel Bibi	N/A	Code
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search	Fahad Shamshad · Muzammal Naseer · Karthik Nandakumar	N/A	Code
Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation From Image Sequence	Yang Tian · Jiyao Zhang · Zekai Yin · Hao Dong	N/A	Code
Affordances From Human Videos as a Versatile Representation for Robotics	Shikhar Bahl · Russell Mendonca · Lili Chen · Unnat Jain · Deepak Pathak	N/A	Code
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation	Yong Yang · Qiong Chen · Yuan Feng · Tianlin Huang	N/A	Code
Learning To Generate Image Embeddings With User-Level Differential Privacy	Zheng Xu · Maxwell Collins · Yuxiao Wang · Liviu Panait · Sewoong Oh · Sean Augenstein · Ting Liu · Florian Schroff · H. Brendan McMahan	N/A	Code
Genie: Show Me the Data for Quantization	Yongkweon Jeon · Chungman Lee · Ho-young Kim	N/A	Code
DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets	Haiyang Wang · Chen Shi · Shaoshuai Shi · Meng Lei · Sen Wang · Di He · Bernt Schiele · Liwei Wang	N/A	Code
Transformer-Based Learned Optimization	Erik Gärtner · Luke Metz · Mykhaylo Andriluka · C. Daniel Freeman · Cristian Sminchisescu	N/A	Code
Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data	Youssef Mansour · Reinhard Heckel	N/A	Code
Super-Resolution Neural Operator	Min Wei · Xuesong Zhang	N/A	Code
StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping	Diqiong Jiang · Dan Song · Ruofeng Tong · Min Tang	N/A	Code
Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization	Ji Li · Weixi Wang · Yuesong Nan · Hui Ji	N/A	Code
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization	Junyi Zhu · Xingchen Ma · Matthew B. Blaschko	N/A	Code
Human Pose As Compositional Tokens	Zigang Geng · Chunyu Wang · Yixuan Wei · Ze Liu · Houqiang Li · Han Hu	N/A	Code
GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training	Xiaoyu Tian · Haoxi Ran · Yue Wang · Hang Zhao	N/A	Code
RUST: Latent Neural Scene Representations From Unposed Imagery	Mehdi S. M. Sajjadi · Aravindh Mahendran · Thomas Kipf · Etienne Pot · Daniel Duckworth · Mario Lučić · Klaus Greff	N/A	Code
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation	Maan Qraitem · Kate Saenko · Bryan A. Plummer	N/A	Code
V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting	Haibao Yu · Wenxian Yang · Hongzhi Ruan · Zhenwei Yang · Yingjuan Tang · Xu Gao · Xin Hao · Yifeng Shi · Yifeng Pan · Ning Sun · Juan Song · Jirui Yuan · Ping Luo · Zaiqing Nie	N/A	Code
Conditional Image-to-Video Generation With Latent Flow Diffusion Models	Haomiao Ni · Changhao Shi · Kai Li · Sharon X. Huang · Martin Renqiang Min	N/A	Code
Anchor3DLane: Learning To Regress 3D Anchors for Monocular 3D Lane Detection	Shaofei Huang · Zhenwei Shen · Zehao Huang · Zi-han Ding · Jiao Dai · Jizhong Han · Naiyan Wang · Si Liu	N/A	Code
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds	Aoran Xiao · Jiaxing Huang · Weihao Xuan · Ruijie Ren · Kangcheng Liu · Dayan Guan · Abdulmotaleb El Saddik · Shijian Lu · Eric P. Xing	N/A	Code
NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action	Kuan-Chieh Wang · Zhenzhen Weng · Maria Xenochristou · João Pedro Araújo · Jeffrey Gu · Karen Liu · Serena Yeung	N/A	Code
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning	Xiaocheng Lu · Song Guo · Ziming Liu · Jingcai Guo	N/A	Code
iDisc: Internal Discretization for Monocular Depth Estimation	Luigi Piccinelli · Christos Sakaridis · Fisher Yu	N/A	Code
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy	Yinzhen Xu · Weikang Wan · Jialiang Zhang · Haoran Liu · Zikang Shan · Hao Shen · Ruicheng Wang · Haoran Geng · Yijia Weng · Jiayi Chen · Tengyu Liu · Li Yi · He Wang	N/A	Code
PolyFormer: Referring Image Segmentation As Sequential Polygon Generation	Jiang Liu · Hui Ding · Zhaowei Cai · Yuting Zhang · Ravi Kumar Satzoda · Vijay Mahadevan · R. Manmatha	N/A	Code
Interactive Segmentation of Radiance Fields	Rahul Goel · Dhawal Sirikonda · Saurabh Saini · P. J. Narayanan	N/A	Code
PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees	Jinghuai Zhang · Jinyuan Jia · Hongbin Liu · Neil Zhenqiang Gong	N/A	Code
Indiscernible Object Counting in Underwater Scenes	Guolei Sun · Zhaochong An · Yun Liu · Ce Liu · Christos Sakaridis · Deng-Ping Fan · Luc Van Gool	N/A	Code
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions	Yong Guo · David Stutz · Bernt Schiele	N/A	Code
Real-Time Multi-Person Eyeblink Detection in the Wild for Untrimmed Video	Wenzheng Zeng · Yang Xiao · Sicheng Wei · Jinfang Gan · Xintao Zhang · Zhiguo Cao · Zhiwen Fang · Joey Tianyi Zhou	N/A	Code
BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points	Ruihao Wang · Jian Qin · Kaiying Li · Yaochen Li · Dong Cao · Jintao Xu	N/A	Code
Infinite Photorealistic Worlds Using Procedural Generation	Alexander Raistrick · Lahav Lipson · Zeyu Ma · Lingjie Mei · Mingzhe Wang · Yiming Zuo · Karhan Kayan · Hongyu Wen · Beining Han · Yihan Wang · Alejandro Newell · Hei Law · Ankit Goyal · Kaiyu Yang · Jia Deng	N/A	Code
High-Fidelity 3D Human Digitization From Single 2K Resolution Images	Sang-Hun Han · Min-Gyu Park · Ju Hong Yoon · Ju-Mi Kang · Young-Jae Park · Hae-Gon Jeon	N/A	Code
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis	Ming Tao · Bing-Kun Bao · Hao Tang · Changsheng Xu	N/A	Code
Language-Guided Audio-Visual Source Separation via Trimodal Consistency	Reuben Tan · Arijit Ray · Andrea Burns · Bryan A. Plummer · Justin Salamon · Oriol Nieto · Bryan Russell · Kate Saenko	N/A	Code
Probabilistic Debiasing of Scene Graphs	Bashirul Azam Biswas · Qiang Ji	N/A	Code
PVO: Panoptic Visual Odometry	Weicai Ye · Xinyue Lan · Shuo Chen · Yuhang Ming · Xingyuan Yu · Hujun Bao · Zhaopeng Cui · Guofeng Zhang	N/A	Code
Superclass Learning With Representation Enhancement	Zeyu Gan · Suyun Zhao · Jinlong Kang · Liyuan Shang · Hong Chen · Cuiping Li	N/A	Code
GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts	Haoran Geng · Helin Xu · Chengyang Zhao · Chao Xu · Li Yi · Siyuan Huang · He Wang	N/A	Code
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation	Liyan Chen · Weihan Wang · Philippos Mordohai	N/A	Code
Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations	Thomas Tanay · Aleš Leonardis · Matteo Maggioni	N/A	Code
Large-Capacity and Flexible Video Steganography via Invertible Neural Network	Chong Mou · Youmin Xu · Jiechong Song · Chen Zhao · Bernard Ghanem · Jian Zhang	N/A	Code
Generating Part-Aware Editable 3D Shapes Without 3D Supervision	Konstantinos Tertikas · Despoina Paschalidou · Boxiao Pan · Jeong Joon Park · Mikaela Angelina Uy · Ioannis Emiris · Yannis Avrithis · Leonidas Guibas	N/A	Code
Vision Transformer With Super Token Sampling	Huaibo Huang · Xiaoqiang Zhou · Jie Cao · Ran He · Tieniu Tan	N/A	Code
Renderable Neural Radiance Map for Visual Navigation	Obin Kwon · Jeongho Park · Songhwai Oh	N/A	Code
Learning Compact Representations for LiDAR Completion and Generation	Yuwen Xiong · Wei-Chiu Ma · Jingkang Wang · Raquel Urtasun	N/A	Code
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation	Fabio Cermelli · Matthieu Cord · Arthur Douillard	N/A	Code
A Bag-of-Prototypes Representation for Dataset-Level Applications	Weijie Tu · Weijian Deng · Tom Gedeon · Liang Zheng	N/A	Code
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training	Yuting He · Guanyu Yang · Rongjun Ge · Yang Chen · Jean-Louis Coatrieux · Boyu Wang · Shuo Li	N/A	Code
Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network	Zhicheng Zhang · Lijuan Wang · Jufeng Yang	N/A	Code
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning	James Seale Smith · Leonid Karlinsky · Vyshnavi Gutta · Paola Cascante-Bonilla · Donghyun Kim · Assaf Arbelle · Rameswar Panda · Rogerio Feris · Zsolt Kira	N/A	Code
CodeTalker: Speech-Driven 3D Facial Animation With Discrete Motion Prior	Jinbo Xing · Menghan Xia · Yuechen Zhang · Xiaodong Cun · Jue Wang · Tien-Tsin Wong	N/A	Code
VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction	Yufan Ren · Fangjinhua Wang · Tong Zhang · Marc Pollefeys · Sabine Süsstrunk	N/A	Code
NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation	Haoqian Wu · Keyu Chen · Haozhe Liu · Mingchen Zhuge · Bing Li · Ruizhi Qiao · Xiujun Shu · Bei Gan · Liangsheng Xu · Bo Ren · Mengmeng Xu · Wentian Zhang · Raghavendra Ramachandra · Chia-Wen Lin · Bernard Ghanem	N/A	Code
Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization	Yuechen Zhang · Zexin He · Jinbo Xing · Xufeng Yao · Jiaya Jia	N/A	Code
GANmouflage: 3D Object Nondetection With Texture Fields	Rui Guo · Jasmine Collins · Oscar de Lima · Andrew Owens	N/A	Code
GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning	Zhenyu Xie · Zaiyu Huang · Xin Dong · Fuwei Zhao · Haoye Dong · Xijin Zhang · Feida Zhu · Xiaodan Liang	N/A	Code
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection	Xuan Zhang · Shiyu Li · Xi Li · Ping Huang · Jiulong Shan · Ting Chen	N/A	Code
Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images	Xindi Wu · KwunFung Lau · Francesco Ferroni · Aljoša Ošep · Deva Ramanan	N/A	Code
Beyond mAP: Towards Better Evaluation of Instance Segmentation	Rohit Jena · Lukas Zhornyak · Nehal Doiphode · Pratik Chaudhari · Vivek Buch · James Gee · Jianbo Shi	N/A	Code
Federated Learning With Data-Agnostic Distribution Fusion	Jian-hui Duan · Wenzhong Li · Derun Zou · Ruichen Li · Sanglu Lu	N/A	Code
Make-a-Story: Visual Memory Conditioned Consistent Story Generation	Tanzila Rahman · Hsin-Ying Lee · Jian Ren · Sergey Tulyakov · Shweta Mahajan · Leonid Sigal	N/A	Code
Scalable, Detailed and Mask-Free Universal Photometric Stereo	Satoshi Ikehata	N/A	Code
ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling	Xinglin Li · Jiajing Chen · Jinhui Ouyang · Hanhui Deng · Senem Velipasalar · Di Wu	N/A	Code
Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields	Yue Chen · Xingyu Chen · Xuan Wang · Qi Zhang · Yu Guo · Ying Shan · Fei Wang	N/A	Code
UV Volumes for Real-Time Rendering of Editable Free-View Human Performance	Yue Chen · Xuan Wang · Xingyu Chen · Qi Zhang · Xiaoyu Li · Yu Guo · Jue Wang · Fei Wang	N/A	Code
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries	Ahmed Imtiaz Humayun · Randall Balestriero · Guha Balakrishnan · Richard G. Baraniuk	N/A	Code
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble	Chun-Han Yao · Wei-Chih Hung · Yuanzhen Li · Michael Rubinstein · Ming-Hsuan Yang · Varun Jampani	N/A	Code
VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos	Huiyu Gao · Wei Mao · Miaomiao Liu	N/A	Code
Unsupervised Volumetric Animation	Aliaksandr Siarohin · Willi Menapace · Ivan Skorokhodov · Kyle Olszewski · Jian Ren · Hsin-Ying Lee · Menglei Chai · Sergey Tulyakov	N/A	Code
DKM: Dense Kernelized Feature Matching for Geometry Estimation	Johan Edstedt · Ioannis Athanasiadis · Mårten Wadenbäck · Michael Felsberg	N/A	Code
All in One: Exploring Unified Video-Language Pre-Training	Jinpeng Wang · Yixiao Ge · Rui Yan · Yuying Ge · Kevin Qinghong Lin · Satoshi Tsutsui · Xudong Lin · Guanyu Cai · Jianping Wu · Ying Shan · Xiaohu Qie · Mike Zheng Shou	N/A	Code
Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild	Yanhao Wu · Tong Zhang · Wei Ke · Sabine Süsstrunk · Mathieu Salzmann	N/A	Code
DynIBaR: Neural Dynamic Image-Based Rendering	Zhengqi Li · Qianqian Wang · Forrester Cole · Richard Tucker · Noah Snavely	N/A	Code
Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container	Jinguang Tong · Sundaram Muthu · Fahira Afzal Maken · Chuong Nguyen · Hongdong Li	N/A	Code
JAWS: Just a Wild Shot for Cinematic Transfer in Neural Radiance Fields	Xi Wang · Robin Courant · Jinglei Shi · Eric Marchand · Marc Christie	N/A	Code
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes	Harshil Bhatia · Edith Tretschk · Zorah Lähner · Marcel Seelbach Benkner · Michael Moeller · Christian Theobalt · Vladislav Golyanik	N/A	Code
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations	Joy Hsu · Jiayuan Mao · Jiajun Wu	N/A	Code
TempSAL – Uncovering Temporal Information for Deep Saliency Prediction	Bahar Aydemir · Ludo Hoffstetter · Tong Zhang · Mathieu Salzmann · Sabine Süsstrunk	N/A	Code
BiasBed – Rigorous Texture Bias Evaluation	Nikolai Kalischek · Rodrigo Caye Daudt · Torben Peters · Reinhard Furrer · Jan D. Wegner · Konrad Schindler	N/A	Code
Real-Time Neural Light Field on Mobile Devices	Junli Cao · Huan Wang · Pavlo Chemerys · Vladislav Shakhrai · Ju Hu · Yun Fu · Denys Makoviichuk · Sergey Tulyakov · Jian Ren	N/A	Code
Where Is My Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization	Mengmeng Xu · Yanghao Li · Cheng-Yang Fu · Bernard Ghanem · Tao Xiang · Juan-Manuel Pérez-Rúa	N/A	Code
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing	Zheng Ding · Xuaner Zhang · Zhihao Xia · Lars Jebe · Zhuowen Tu · Xiuming Zhang	N/A	Code
Neural Scene Chronology	Haotong Lin · Qianqian Wang · Ruojin Cai · Sida Peng · Hadar Averbuch-Elor · Xiaowei Zhou · Noah Snavely	N/A	Code
Diversity-Aware Meta Visual Prompting	Qidong Huang · Xiaoyi Dong · Dongdong Chen · Weiming Zhang · Feifei Wang · Gang Hua · Nenghai Yu	N/A	Code
Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses	Kunal Chelani · Torsten Sattler · Fredrik Kahl · Zuzana Kukelova	N/A	Code
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers	Bin Ren · Yahui Liu · Yue Song · Wei Bi · Rita Cucchiara · Nicu Sebe · Wei Wang	N/A	Code
Box-Level Active Detection	Mengyao Lyu · Jundong Zhou · Hui Chen · Yijie Huang · Dongdong Yu · Yaqian Li · Yandong Guo · Yuchen Guo · Liuyu Xiang · Guiguang Ding	N/A	Code
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples	Jiaming Zhang · Xingjun Ma · Qi Yi · Jitao Sang · Yu-Gang Jiang · Yaowei Wang · Changsheng Xu	N/A	Code
Generalized Relation Modeling for Transformer Tracking	Shenyuan Gao · Chunluan Zhou · Jun Zhang	N/A	Code
Mofusion: A Framework for Denoising-Diffusion-Based Motion Synthesis	Rishabh Dabral · Muhammad Hamza Mughal · Vladislav Golyanik · Christian Theobalt	N/A	Code
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective	Jinjing Zhu · Haotian Bai · Lin Wang	N/A	Code
Distilling Neural Fields for Real-Time Articulated Shape Reconstruction	Jeff Tan · Gengshan Yang · Deva Ramanan	N/A	Code
Sampling Is Matter: Point-Guided 3D Human Mesh Reconstruction	Jeonghwan Kim · Mi-Gyeong Gwon · Hyunwoo Park · Hyukmin Kwon · Gi-Mun Um · Wonjun Kim	N/A	Code
Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding	Haoxuan Che · Siyu Chen · Hao Chen	N/A	Code
Towards Practical Plug-and-Play Diffusion Models	Hyojun Go · Yunsung Lee · Jin-Young Kim · Seunghyun Lee · Myeongho Jeong · Hyun Seung Lee · Seungtaek Choi	N/A	Code
HRDFuse: Monocular 360° Depth Estimation by Collaboratively Learning Holistic-With-Regional Depth Distributions	Hao Ai · Zidong Cao · Yan-Pei Cao · Ying Shan · Lin Wang	N/A	Code
KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation	Xiangyang Li · Zihan Wang · Jiahao Yang · Yaowei Wang · Shuqiang Jiang	N/A	Code
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction	Yuanhui Huang · Wenzhao Zheng · Yunpeng Zhang · Jie Zhou · Jiwen Lu	N/A	Code
EventNeRF: Neural Radiance Fields From a Single Colour Event Camera	Viktor Rudnev · Mohamed Elgharib · Christian Theobalt · Vladislav Golyanik	N/A	Code
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling	Zhanhao Hu · Wenda Chu · Xiaopei Zhu · Hui Zhang · Bo Zhang · Xiaolin Hu	N/A	Code
Global Vision Transformer Pruning With Hessian-Aware Saliency	Huanrui Yang · Hongxu Yin · Maying Shen · Pavlo Molchanov · Hai Li · Jan Kautz	N/A	Code
3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention	Zhenhua Tang · Zhaofan Qiu · Yanbin Hao · Richang Hong · Ting Yao	N/A	Code
Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution	Yunfan Lu · Zipeng Wang · Minjie Liu · Hongjian Wang · Lin Wang	N/A	Code
StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer	Sasikarn Khwanmuang · Pakkapon Phongthawee · Patsorn Sangkloy · Supasorn Suwajanakorn	N/A	Code
ShapeClipper: Scalable 3D Shape Learning From Single-View Images via Geometric and CLIP-Based Consistency	Zixuan Huang · Varun Jampani · Anh Thai · Yuanzhen Li · Stefan Stojanov · James M. Rehg	N/A	Code
Efficient Scale-Invariant Generator With Column-Row Entangled Pixel Synthesis	Thuan Hoang Nguyen · Thanh Van Le · Anh Tran	N/A	Code
Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization	Chunghwan Lee · Jaihoon Kim · Chanhyuk Yun · Je Hyeong Hong	N/A	Code
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation	Xu Zheng · Jinjing Zhu · Yexin Liu · Zidong Cao · Chong Fu · Lin Wang	N/A	Code
Adaptive Human Matting for Dynamic Videos	Chung-Ching Lin · Jiang Wang · Kun Luo · Kevin Lin · Linjie Li · Lijuan Wang · Zicheng Liu	N/A	Code
High-Fidelity Facial Avatar Reconstruction From Monocular Video With Generative Priors	Yunpeng Bai · Yanbo Fan · Xuan Wang · Yong Zhang · Jingxiang Sun · Chun Yuan · Ying Shan	N/A	Code
Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint	Shikang Yu · Jiachen Chen · Hu Han · Shuqiang Jiang	N/A	Code
Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes	Jihyun Lee · Minhyuk Sung · Honggyu Choi · Tae-Kyun Kim	N/A	Code
MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos	Zicheng Zhang · Wei Wu · Wei Sun · Danyang Tu · Wei Lu · Xiongkuo Min · Ying Chen · Guangtao Zhai	N/A	Code
Make Landscape Flatter in Differentially Private Federated Learning	Yifan Shi · Yingqi Liu · Kang Wei · Li Shen · Xueqian Wang · Dacheng Tao	N/A	Code
A Large-Scale Robustness Analysis of Video Action Recognition Models	Madeline Chantry Schiappa · Naman Biyani · Prudvi Kamtam · Shruti Vyas · Hamid Palangi · Vibhav Vineet · Yogesh S. Rawat	N/A	Code
Multi-Concept Customization of Text-to-Image Diffusion	Nupur Kumari · Bingliang Zhang · Richard Zhang · Eli Shechtman · Jun-Yan Zhu	N/A	Code
GANHead: Towards Generative Animatable Neural Head Avatars	Sijing Wu · Yichao Yan · Yunhao Li · Yuhao Cheng · Wenhan Zhu · Ke Gao · Xiaobo Li · Guangtao Zhai	N/A	Code
Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition	Xinghan Wang · Xin Xu · Yadong Mu	N/A	Code
Hierarchical B-Frame Video Coding Using Two-Layer CANF Without Motion Coding	David Alexandre · Hsueh-Ming Hang · Wen-Hsiao Peng	N/A	Code
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER	Ce Zheng · Matias Mendieta · Taojiannan Yang · Guo-Jun Qi · Chen Chen	N/A	Code
Delivering Arbitrary-Modal Semantic Segmentation	Jiaming Zhang · Ruiping Liu · Hao Shi · Kailun Yang · Simon Reiß · Kunyu Peng · Haodong Fu · Kaiwei Wang · Rainer Stiefelhagen	N/A	Code
Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration	Zheng Qin · Hao Yu · Changjian Wang · Yuxing Peng · Kai Xu	N/A	Code
HumanGen: Generating Human Radiance Fields With Explicit Priors	Suyi Jiang · Haoran Jiang · Ziyu Wang · Haimin Luo · Wenzheng Chen · Lan Xu	N/A	Code
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation	Bo Huang · Mingyang Chen · Yi Wang · Junda Lu · Minhao Cheng · Wei Wang	N/A	Code
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation	Narek Tumanyan · Michal Geyer · Shai Bagon · Tali Dekel	N/A	Code
Rotation-Invariant Transformer for Point Cloud Matching	Hao Yu · Zheng Qin · Ji Hou · Saleh · Dongsheng Li · Benjamin Busam · Slobodan Ilic	N/A	Code
CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP	Runnan Chen · Youquan Liu · Lingdong Kong · Xinge Zhu · Yuexin Ma · Yikang Li · Yuenan Hou · Yu Qiao · Wenping Wang	N/A	Code
Real-Time 6K Image Rescaling With Rate-Distortion Optimization	Chenyang Qi · Xin Yang · Ka Leong Cheng · Ying-Cong Chen · Qifeng Chen	N/A	Code
Focused and Collaborative Feedback Integration for Interactive Image Segmentation	Qiaoqiao Wei · Hui Zhang · Jun-Hai Yong	N/A	Code
Language-Guided Music Recommendation for Video via Prompt Analogies	Daniel McKee · Justin Salamon · Josef Sivic · Bryan Russell	N/A	Code
TarViS: A Unified Approach for Target-Based Video Segmentation	Ali Athar · Alexander Hermans · Jonathon Luiten · Deva Ramanan · Bastian Leibe	N/A	Code
Meta-Personalizing Vision-Language Models To Find Named Instances in Video	Chun-Hsiao Yeh · Bryan Russell · Josef Sivic · Fabian Caba Heilbron · Simon Jenni	N/A	Code
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data	Haojie Zhao · Junsong Chen · Lijun Wang · Huchuan Lu	N/A	Code
Scaling Language-Image Pre-Training via Masking	Yanghao Li · Haoqi Fan · Ronghang Hu · Christoph Feichtenhofer · Kaiming He	N/A	Code
SeqTrack: Sequence to Sequence Learning for Visual Object Tracking	Xin Chen · Houwen Peng · Dong Wang · Huchuan Lu · Han Hu	N/A	Code
Learning Neural Parametric Head Models	Simon Giebenhain · Tobias Kirschstein · Markos Georgopoulos · Martin Rünz · Lourdes Agapito · Matthias Nießner	N/A	Code
L-CoIns: Language-Based Colorization With Instance Awareness	Zheng Chang · Shuchen Weng · Peixuan Zhang · Yu Li · Si Li · Boxin Shi	N/A	Code
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning	Antoine Yang · Arsha Nagrani · Paul Hongsuck Seo · Antoine Miech · Jordi Pont-Tuset · Ivan Laptev · Josef Sivic · Cordelia Schmid	N/A	Code
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding	Le Xue · Mingfei Gao · Chen Xing · Roberto Martín-Martín · Jiajun Wu · Caiming Xiong · Ran Xu · Juan Carlos Niebles · Silvio Savarese	N/A	Code
GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images	Jianchuan Chen · Wentao Yi · Liqian Ma · Xu Jia · Huchuan Lu	N/A	Code
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation	Lukas Hoyer · Dengxin Dai · Haoran Wang · Luc Van Gool	N/A	Code
MED-VT: Multiscale Encoder-Decoder Video Transformer With Application To Object Segmentation	Rezaul Karim · He Zhao · Richard P. Wildes · Mennatullah Siam	N/A	Code
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation	Bohao Peng · Zhuotao Tian · Xiaoyang Wu · Chengyao Wang · Shu Liu · Jingyong Su · Jiaya Jia	N/A	Code
Universal Instance Perception As Object Discovery and Retrieval	Bin Yan · Yi Jiang · Jiannan Wu · Dong Wang · Ping Luo · Zehuan Yuan · Huchuan Lu	N/A	Code
Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning	Zhicai Wang · Yanbin Hao · Tingting Mu · Ouxiang Li · Shuo Wang · Xiangnan He	N/A	Code
Open-Vocabulary Semantic Segmentation With Mask-Adapted CLIP	Feng Liang · Bichen Wu · Xiaoliang Dai · Kunpeng Li · Yinan Zhao · Hang Zhang · Peizhao Zhang · Peter Vajda · Diana Marculescu	N/A	Code
ImageBind: One Embedding Space To Bind Them All	Rohit Girdhar · Alaaeldin El-Nouby · Zhuang Liu · Mannat Singh · Kalyan Vasudev Alwala · Armand Joulin · Ishan Misra	N/A	Code
Learning and Aggregating Lane Graphs for Urban Automated Driving	Martin Büchner · Jannik Zürn · Ion-George Todoran · Abhinav Valada · Wolfram Burgard	N/A	Code
High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain Activity	Yu Takagi · Shinji Nishimoto	N/A	Code
3D Cinemagraphy From a Single Image	Xingyi Li · Zhiguo Cao · Huiqiang Sun · Jianming Zhang · Ke Xian · Guosheng Lin	N/A	Code
Understanding and Improving Visual Prompting: A Label-Mapping Perspective	Aochuan Chen · Yuguang Yao · Pin-Yu Chen · Yihua Zhang · Sijia Liu	N/A	Code
Cut and Learn for Unsupervised Object Detection and Instance Segmentation	Xudong Wang · Rohit Girdhar · Stella X. Yu · Ishan Misra	N/A	Code
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset	Kartik Narayan · Harsh Agarwal · Kartik Thakral · Surbhi Mittal · Mayank Vatsa · Richa Singh	N/A	Code
BASiS: Batch Aligned Spectral Embedding Space	Or Streicher · Ido Cohen · Guy Gilboa	N/A	Code
Annealing-Based Label-Transfer Learning for Open World Object Detection	Yuqing Ma · Hainan Li · Zhange Zhang · Jinyang Guo · Shanghang Zhang · Ruihao Gong · Xianglong Liu	N/A	Code
Behind the Scenes: Density Fields for Single View Reconstruction	Felix Wimbauer · Nan Yang · Christian Rupprecht · Daniel Cremers	N/A	Code
Learning Video Representations From Large Language Models	Yue Zhao · Ishan Misra · Philipp Krähenbühl · Rohit Girdhar	N/A	Code
Quantum Multi-Model Fitting	Matteo Farina · Luca Magri · Willi Menapace · Elisa Ricci · Vladislav Golyanik · Federica Arrigoni	N/A	Code
Power Bundle Adjustment for Large-Scale 3D Reconstruction	Simon Weber · Nikolaus Demmel · Tin Chon Chan · Daniel Cremers	N/A	Code
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing	Jiechong Song · Chong Mou · Shiqi Wang · Siwei Ma · Jian Zhang	N/A	Code
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization	Shitao Tang · Sicong Tang · Andrea Tagliasacchi · Ping Tan · Yasutaka Furukawa	N/A	Code
Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption	Jin Gao · Jialing Zhang · Xihui Liu · Trevor Darrell · Evan Shelhamer · Dequan Wang	N/A	Code
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis	Ziyu Wan · Christian Richardt · Aljaž Božič · Chao Li · Vijay Rengarajan · Seonghyeon Nam · Xiaoyu Xiang · Tuotuo Li · Bo Zhu · Rakesh Ranjan · Jing Liao	N/A	Code
Object Pop-Up: Can We Infer 3D Objects and Their Poses From Human Interactions Alone?	Ilya A. Petrov · Riccardo Marin · Julian Chibane · Gerard Pons-Moll	N/A	Code
G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors	Marvin Eisenberger · Aysim Toker · Laura Leal-Taixé · Daniel Cremers	N/A	Code
Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision	María Leyva-Vallina · Nicola Strisciuglio · Nicolai Petkov	N/A	Code
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision	Xinyi Ying · Li Liu · Yingqian Wang · Ruojing Li · Nuo Chen · Zaiping Lin · Weidong Sheng · Shilin Zhou	N/A	Code
Instant Domain Augmentation for LiDAR Semantic Segmentation	Kwonyoung Ryu · Soonmin Hwang · Jaesik Park	N/A	Code
R2Former: Unified Retrieval and Reranking Transformer for Place Recognition	Sijie Zhu · Linjie Yang · Chen Chen · Mubarak Shah · Xiaohui Shen · Heng Wang	N/A	Code
Detecting and Grounding Multi-Modal Media Manipulation	Rui Shao · Tianxing Wu · Ziwei Liu	N/A	Code
Detecting Backdoors in Pre-Trained Encoders	Shiwei Feng · Guanhong Tao · Siyuan Cheng · Guangyu Shen · Xiangzhe Xu · Yingqi Liu · Kaiyuan Zhang · Shiqing Ma · Xiangyu Zhang	N/A	Code
Scaling Up GANs for Text-to-Image Synthesis	Minguk Kang · Jun-Yan Zhu · Richard Zhang · Jaesik Park · Eli Shechtman · Sylvain Paris · Taesung Park	N/A	Code
Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline	Tiantian Geng · Teng Wang · Jinming Duan · Runmin Cong · Feng Zheng	N/A	Code
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°	Sizhe An · Hongyi Xu · Yichun Shi · Guoxian Song · Umit Y. Ogras · Linjie Luo	N/A	Code
Modality-Invariant Visual Odometry for Embodied Vision	Marius Memmel · Roman Bachmann · Amir Zamir	N/A	Code
3D Video Loops From Asynchronous Input	Li Ma · Xiaoyu Li · Jing Liao · Pedro V. Sander	N/A	Code
Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes	Xuan Ju · Ailing Zeng · Jianan Wang · Qiang Xu · Lei Zhang	N/A	Code
PosterLayout: A New Benchmark and Approach for Content-Aware Visual-Textual Presentation Layout	Hsiao Yuan Hsu · Xiangteng He · Yuxin Peng · Hao Kong · Qing Zhang	N/A	Code
A Soma Segmentation Benchmark in Full Adult Fly Brain	Xiaoyu Liu · Bo Hu · Mingxing Li · Wei Huang · Yueyi Zhang · Zhiwei Xiong	N/A	Code
One-Stage 3D Whole-Body Mesh Recovery With Component Aware Transformer	Jing Lin · Ailing Zeng · Haoqian Wang · Lei Zhang · Yu Li	N/A	Code
Listening Human Behavior: 3D Human Pose Estimation With Acoustic Signals	Yuto Shibata · Yutaka Kawashima · Mariko Isogawa · Go Irie · Akisato Kimura · Yoshimitsu Aoki	N/A	Code
Hand Avatar: Free-Pose Hand Animation and Rendering From Monocular Video	Xingyu Chen · Baoyuan Wang · Heung-Yeung Shum	N/A	Code
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis	Hiuyi Cheng · Peirong Zhang · Sihang Wu · Jiaxin Zhang · Qiyuan Zhu · Zecheng Xie · Jing Li · Kai Ding · Lianwen Jin	N/A	Code
Neural Congealing: Aligning Images to a Joint Semantic Atlas	Dolev Ofri-Amar · Michal Geyer · Yoni Kasten · Tali Dekel	N/A	Code
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation	Tianheng Cheng · Xinggang Wang · Shaoyu Chen · Qian Zhang · Wenyu Liu	N/A	Code
BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion	Michael J. Black · Priyanka Patel · Joachim Tesch · Jinlong Yang	N/A	Code
Mask DINO: Towards a Unified Transformer-Based Framework for Object Detection and Segmentation	Feng Li · Hao Zhang · Huaizhe Xu · Shilong Liu · Lei Zhang · Lionel M. Ni · Heung-Yeung Shum	N/A	Code
Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis From Monocular Image	Yu Deng · Baoyuan Wang · Heung-Yeung Shum	N/A	Code
3DAvatarGAN: Bridging Domains for Personalized Editable Avatars	Rameen Abdal · Hsin-Ying Lee · Peihao Zhu · Menglei Chai · Aliaksandr Siarohin · Peter Wonka · Sergey Tulyakov	N/A	Code
FLEX: Full-Body Grasping Without Full-Body Grasps	Purva Tendulkar · Dídac Surís · Carl Vondrick	N/A	Code
UDE: A Unified Driving Engine for Human Motion Generation	Zixiang Zhou · Baoyuan Wang	N/A	Code
Video Test-Time Adaptation for Action Recognition	Wei Lin · Muhammad Jehanzeb Mirza · Mateusz Kozinski · Horst Possegger · Hilde Kuehne · Horst Bischof	N/A	Code
Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis	Duomin Wang · Yu Deng · Zixin Yin · Heung-Yeung Shum · Baoyuan Wang	N/A	Code
MIME: Human-Aware 3D Scene Generation	Hongwei Yi · Chun-Hao P. Huang · Shashank Tripathi · Lea Hering · Justus Thies · Michael J. Black	N/A	Code
AstroNet: When Astrocyte Meets Artificial Neural Network	Mengqiao Han · Liyuan Pan · Xiabi Liu	N/A	Code
Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction	Jianhua Sun · Yuxuan Li · Liang Chai · Cewu Lu	N/A	Code
ActMAD: Activation Matching To Align Distributions for Test-Time-Training	Muhammad Jehanzeb Mirza · Pol Jané Soneira · Wei Lin · Mateusz Kozinski · Horst Possegger · Horst Bischof	N/A	Code
Visual Prompt Multi-Modal Tracking	Jiawen Zhu · Simiao Lai · Xin Chen · Dong Wang · Huchuan Lu	N/A	Code
Reconstructing Signing Avatars From Video Using Linguistic Priors	Maria-Paola Forte · Peter Kulits · Chun-Hao P. Huang · Vasileios Choutas · Dimitrios Tzionas · Katherine J. Kuchenbecker · Michael J. Black	N/A	Code
Patch-Based 3D Natural Scene Generation From a Single Example	Weiyu Li · Xuelin Chen · Jue Wang · Baoquan Chen	N/A	Code
Re-Basin via Implicit Sinkhorn Differentiation	Fidel A. Guerrero Peña · Heitor Rapela Medeiros · Thomas Dubail · Masih Aminbeidokhti · Eric Granger · Marco Pedersoli	N/A	Code
Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention	Xuran Pan · Tianzhu Ye · Zhuofan Xia · Shiji Song · Gao Huang	N/A	Code
Planning-Oriented Autonomous Driving	Yihan Hu · Jiazhi Yang · Li Chen · Keyu Li · Chonghao Sima · Xizhou Zhu · Siqi Chai · Senyao Du · Tianwei Lin · Wenhai Wang · Lewei Lu · Xiaosong Jia · Qiang Liu · Jifeng Dai · Yu Qiao · Hongyang Li	N/A	Code
Enhancing Deformable Local Features by Jointly Learning To Detect and Describe Keypoints	Guilherme Potje · Felipe Cadar · André Araujo · Renato Martins · Erickson R. Nascimento	N/A	Code
3D Human Pose Estimation via Intuitive Physics	Shashank Tripathi · Lea Müller · Chun-Hao P. Huang · Omid Taheri · Michael J. Black · Dimitrios Tzionas	N/A	Code
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning	Ajinkya Tejankar · Maziar Sanjabi · Qifan Wang · Sinong Wang · Hamed Firooz · Hamed Pirsiavash · Liang Tan	N/A	Code
PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos	Zhiqiang Shen · Xiaoxiao Sheng · Longguang Wang · Yulan Guo · Qiong Liu · Xi Zhou	N/A	Code
Blowing in the Wind: CycleNet for Human Cinemagraphs From Still Images	Hugo Bertiche · Niloy J. Mitra · Kuldeep Kulkarni · Chun-Hao P. Huang · Tuanfeng Y. Wang · Meysam Madadi · Sergio Escalera · Duygu Ceylan	N/A	Code
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning	Kangning Liu · Weicheng Zhu · Yiqiu Shen · Sheng Liu · Narges Razavian · Krzysztof J. Geras · Carlos Fernandez-Granda	N/A	Code
Learning Steerable Function for Efficient Image Resampling	Jiacheng Li · Chang Chen · Wei Huang · Zhiqiang Lang · Fenglong Song · Youliang Yan · Zhiwei Xiong	N/A	Code
Deep Deterministic Uncertainty: A New Simple Baseline	Jishnu Mukhoti · Andreas Kirsch · Joost van Amersfoort · Philip H.S. Torr · Yarin Gal	N/A	Code
Removing Objects From Neural Radiance Fields	Silvan Weder · Guillermo Garcia-Hernando · Áron Monszpart · Marc Pollefeys · Gabriel J. Brostow · Michael Firman · Sara Vicente	N/A	Code
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations	Haoran Geng · Ziming Li · Yiran Geng · Jiayi Chen · Hao Dong · He Wang	N/A	Code
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection	Hao Huang · Ziyan Chen · Huanran Chen · Yongtao Wang · Kevin Zhang	N/A	Code
DINN360: Deformable Invertible Neural Network for Latitude-Aware 360° Image Rescaling	Yichen Guo · Mai Xu · Lai Jiang · Leonid Sigal · Yunjin Chen	N/A	Code
Learning Human-to-Robot Handovers From Point Clouds	Sammy Christen · Wei Yang · Claudia Pérez-D’Arpino · Otmar Hilliges · Dieter Fox · Yu-Wei Chao	N/A	Code
Multi-View Azimuth Stereo via Tangent Space Consistency	Xu Cao · Hiroaki Santo · Fumio Okura · Yasuyuki Matsushita	N/A	Code
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners	Zitian Chen · Yikang Shen · Mingyu Ding · Zhenfang Chen · Hengshuang Zhao · Erik G. Learned-Miller · Chuang Gan	N/A	Code
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction	Zerui Chen · Shizhe Chen · Cordelia Schmid · Ivan Laptev	N/A	Code
Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint	Hongyu Liu · Yibing Song · Qifeng Chen	N/A	Code
Generative Bias for Robust Visual Question Answering	Jae Won Cho · Dong-Jin Kim · Hyeonggon Ryu · In So Kweon	N/A	Code
Backdoor Defense via Deconfounded Representation Learning	Zaixi Zhang · Qi Liu · Zhicai Wang · Zepu Lu · Qingyong Hu	N/A	Code
High-Fidelity 3D GAN Inversion by Pseudo-Multi-View Optimization	Jiaxin Xie · Hao Ouyang · Jingtan Piao · Chenyang Lei · Qifeng Chen	N/A	Code
Affordance Diffusion: Synthesizing Hand-Object Interactions	Yufei Ye · Xueting Li · Abhinav Gupta · Shalini De Mello · Stan Birchfield · Jiaming Song · Shubham Tulsiani · Sifei Liu	N/A	Code
Zero-Shot Pose Transfer for Unrigged Stylized 3D Characters	Jiashun Wang · Xueting Li · Sifei Liu · Shalini De Mello · Orazio Gallo · Xiaolong Wang · Jan Kautz	N/A	Code
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting	Tarasha Khurana · Peiyun Hu · David Held · Deva Ramanan	N/A	Code
Are Data-Driven Explanations Robust Against Out-of-Distribution Data?	Tang Li · Fengchun Qiao · Mengmeng Ma · Xi Peng	N/A	Code
Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis	Kang Han · Wei Xiang	N/A	Code
Boosting Video Object Segmentation via Space-Time Correspondence Learning	Yurong Zhang · Liulei Li · Wenguan Wang · Rong Xie · Li Song · Wenjun Zhang	N/A	Code
X-Pruner: eXplainable Pruning for Vision Transformers	Lu Yu · Wei Xiang	N/A	Code
GazeNeRF: 3D-Aware Gaze Redirection With Neural Radiance Fields	Alessandro Ruzzi · Xiangwei Shi · Xi Wang · Gengyan Li · Shalini De Mello · Hyung Jin Chang · Xucong Zhang · Otmar Hilliges	N/A	Code
Real-Time Evaluation in Online Continual Learning: A New Hope	Yasir Ghunaim · Adel Bibi · Kumail Alhamoud · Motasem Alfarra · Hasan Abed Al Kader Hammoud · Ameya Prabhu · Philip H.S. Torr · Bernard Ghanem	N/A	Code
Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank	Shirui Huang · Keyan Wang · Huan Liu · Jun Chen · Yunsong Li	N/A	Code
A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories	Reza Akbarian Bafghi · Danna Gurari	N/A	Code
Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models	Jiarui Xu · Sifei Liu · Arash Vahdat · Wonmin Byeon · Xiaolong Wang · Shalini De Mello	N/A	Code
Reconstructing Animatable Categories From Videos	Gengshan Yang · Chaoyang Wang · N. Dinesh Reddy · Deva Ramanan	N/A	Code
Learning Visual Representations via Language-Guided Sampling	Mohamed El Banani · Karan Desai · Justin Johnson	N/A	Code
Four-View Geometry With Unknown Radial Distortion	Petr Hruby · Viktor Korotynskiy · Timothy Duff · Luke Oeding · Marc Pollefeys · Tomas Pajdla · Viktor Larsson	N/A	Code
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model	Gwanghyun Kim · Se Young Chun	N/A	Code
ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing	Zequn Zeng · Hao Zhang · Ruiying Lu · Dongsheng Wang · Bo Chen · Zhengjue Wang	N/A	Code
Feature Separation and Recalibration for Adversarial Robustness	Woo Jae Kim · Yoonki Cho · Junsik Jung · Sung-Eui Yoon	N/A	Code
Event-Based Blurry Frame Interpolation Under Blind Exposure	Wenming Weng · Yueyi Zhang · Zhiwei Xiong	N/A	Code
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures	Zhiqin Chen · Thomas Funkhouser · Peter Hedman · Andrea Tagliasacchi	N/A	Code
HandsOff: Labeled Dataset Generation With No Additional Human Annotations	Austin Xu · Mariya I. Vasileva · Achal Dave · Arjun Seshadri	N/A	Code
Analyzing and Diagnosing Pose Estimation With Attributions	Qiyuan He · Linlin Yang · Kerui Gu · Qiuxia Lin · Angela Yao	N/A	Code
Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction	Ziwei Yu · Chen Li · Linlin Yang · Xiaoxu Zheng · Michael Bi Mi · Gim Hee Lee · Angela Yao	N/A	Code
VIVE3D: Viewpoint-Independent Video Editing Using 3D-Aware GANs	Anna Frühstück · Nikolaos Sarafianos · Yuanlu Xu · Peter Wonka · Tony Tung	N/A	Code
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge	Changdi Yang · Pu Zhao · Yanyu Li · Wei Niu · Jiexiong Guan · Hao Tang · Minghai Qin · Bin Ren · Xue Lin · Yanzhi Wang	N/A	Code
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision	Xiaoshuai Zhang · Abhijit Kundu · Thomas Funkhouser · Leonidas Guibas · Hao Su · Kyle Genova	N/A	Code
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization	Bingfan Zhu · Yanchao Yang · Xulong Wang · Youyi Zheng · Leonidas Guibas	N/A	Code
OpenScene: 3D Scene Understanding With Open Vocabularies	Songyou Peng · Kyle Genova · Chiyu “Max” Jiang · Andrea Tagliasacchi · Marc Pollefeys · Thomas Funkhouser	N/A	Code
A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation	Hui Tang · Kui Jia	N/A	Code
Implicit View-Time Interpolation of Stereo Videos Using Multi-Plane Disparities and Non-Uniform Coordinates	Avinash Paliwal · Andrii Tsarov · Nima Khademi Kalantari	N/A	Code
A Large-Scale Homography Benchmark	Daniel Barath · Dmytro Mishkin · Michal Polic · Wolfgang Förstner · Jiri Matas	N/A	Code
Glocal Energy-Based Learning for Few-Shot Open-Set Recognition	Haoyu Wang · Guansong Pang · Peng Wang · Lei Zhang · Wei Wei · Yanning Zhang	N/A	Code
MEDIC: Remove Model Backdoors via Importance Driven Cloning	Qiuling Xu · Guanhong Tao · Jean Honorio · Yingqi Liu · Shengwei An · Guangyu Shen · Siyuan Cheng · Xiangyu Zhang	N/A	Code
Finding Geometric Models by Clustering in the Consensus Space	Daniel Barath · Denys Rozumnyi · Ivan Eichhardt · Levente Hajder · Jiri Matas	N/A	Code
Imagic: Text-Based Real Image Editing With Diffusion Models	Bahjat Kawar · Shiran Zada · Oran Lang · Omer Tov · Huiwen Chang · Tali Dekel · Inbar Mosseri · Michal Irani	N/A	Code
DeepLSD: Line Segment Detection and Refinement With Deep Image Gradients	Rémi Pautrat · Daniel Barath · Viktor Larsson · Martin R. Oswald · Marc Pollefeys	N/A	Code
H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction	Hao Xu · Tianyu Wang · Xiao Tang · Chi-Wing Fu	N/A	Code
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions	Yurui Zhu · Tianyu Wang · Xueyang Fu · Xuanyu Yang · Xin Guo · Jifeng Dai · Yu Qiao · Xiaowei Hu	N/A	Code
MoDi: Unconditional Motion Synthesis From Diverse Data	Sigal Raab · Inbal Leibovitch · Peizhuo Li · Kfir Aberman · Olga Sorkine-Hornung · Daniel Cohen-Or	N/A	Code
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction	Luke Melas-Kyriazi · Christian Rupprecht · Andrea Vedaldi	N/A	Code
SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation	Zimin Xia · Zimin Xia · Ted Lentsch · Julian F. P. Kooij	N/A	Code
RealFusion: 360° Reconstruction of Any Object From a Single Image	Luke Melas-Kyriazi · Iro Laina · Christian Rupprecht · Andrea Vedaldi	N/A	Code
Masked and Adaptive Transformer for Exemplar Based Image Translation	Chang Jiang · Fei Gao · Biao Ma · Yuhao Lin · Nannan Wang · Gang Xu	N/A	Code
DynamicStereo: Consistent Dynamic Depth From Stereo Videos	Nikita Karaev · Ignacio Rocco · Benjamin Graham · Natalia Neverova · Andrea Vedaldi · Christian Rupprecht	N/A	Code
Masked Representation Learning for Domain Generalized Stereo Matching	Zhibo Rao · Bangshu Xiong · Mingyi He · Mochu Xiang · Renjie He · Zhelun Shen · Xing Li	N/A	Code
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training	Runsen Xu · Tai Wang · Wenwei Zhang · Runjian Chen · Jinkun Cao · Jiangmiao Pang · Dahua Lin	N/A	Code
Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection	Tomoki Ichikawa · Yoshiki Fukao · Shohei Nobuhara · Ko Nishino	N/A	Code
Instant Multi-View Head Capture Through Learnable Registration	Timo Bolkart · Tianye Li · Michael J. Black	N/A	Code
POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo	Lixin Yang · Jian Xu · Licheng Zhong · Xinyu Zhan · Zhicheng Wang · Kejian Wu · Cewu Lu	N/A	Code
Diffusion-Based Generation, Optimization, and Planning in 3D Scenes	Siyuan Huang · Zan Wang · Puhao Li · Baoxiong Jia · Tengyu Liu · Yixin Zhu · Wei Liang · Song-Chun Zhu	N/A	Code
Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark	Muyao Niu · Zhuoxiao Li · Zhihang Zhong · Yinqiang Zheng	N/A	Code
SketchXAI: A First Look at Explainability for Human Sketches	Zhiyu Qu · Yulia Gryaditskaya · Ke Li · Kaiyue Pang · Tao Xiang · Yi-Zhe Song	N/A	Code
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation	Taeyeop Lee · Jonathan Tremblay · Valts Blukis · Bowen Wen · Byeong-Uk Lee · Inkyu Shin · Stan Birchfield · In So Kweon · Kuk-Jin Yoon	N/A	Code
Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction	Ryo Kawahara · Meng-Yu Jennifer Kuo · Shohei Nobuhara	N/A	Code
Reliability in Semantic Segmentation: Are We on the Right Track?	Pau de Jorge · Riccardo Volpi · Philip H.S. Torr · Grégory Rogez	N/A	Code
SMPConv: Self-Moving Point Representations for Continuous Convolution	Sanghyeon Kim · Eunbyung Park	N/A	Code
Few-Shot Geometry-Aware Keypoint Localization	Xingzhe He · Gaurav Bharaj · David Ferman · Helge Rhodin · Pablo Garrido	N/A	Code
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition	Xiaoyu Zhu · Po-Yao Huang · Junwei Liang · Celso M. de Melo · Alexander G. Hauptmann	N/A	Code
Knowledge Combination To Learn Rotated Detection Without Rotated Annotation	Tianyu Zhu · Bryce Ferenczi · Pulak Purkait · Tom Drummond · Hamid Rezatofighi · Anton van den Hengel	N/A	Code
OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering	Zhiyuan Ma · Xiangyu Zhu · Guo-Jun Qi · Zhen Lei · Lei Zhang	N/A	Code
Supervised Masked Knowledge Distillation for Few-Shot Transformers	Han Lin · Guangxing Han · Jiawei Ma · Shiyuan Huang · Xudong Lin · Shih-Fu Chang	N/A	Code
Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision	Jilan Xu · Junlin Hou · Yuejie Zhang · Rui Feng · Yi Wang · Yu Qiao · Weidi Xie	N/A	Code
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing	Xiaodan Li · Yuefeng Chen · Yao Zhu · Shuhui Wang · Rong Zhang · Hui Xue	N/A	Code
Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos	Liao Wang · Qiang Hu · Qihan He · Ziyu Wang · Jingyi Yu · Tinne Tuytelaars · Lan Xu · Minye Wu	N/A	Code
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm	Yichen Xie · Han Lu · Junchi Yan · Xiaokang Yang · Masayoshi Tomizuka · Wei Zhan	N/A	Code
Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering	Ruizhi Shao · Zerong Zheng · Hanzhang Tu · Boning Liu · Hongwen Zhang · Yebin Liu	N/A	Code
RiDDLE: Reversible and Diversified De-Identification With Latent Encryptor	Dongze Li · Wei Wang · Kang Zhao · Jing Dong · Tieniu Tan	N/A	Code
RobustNeRF: Ignoring Distractors With Robust Losses	Sara Sabour · Suhani Vora · Daniel Duckworth · Ivan Krasin · David J. Fleet · Andrea Tagliasacchi	N/A	Code
Bitstream-Corrupted JPEG Images Are Restorable: Two-Stage Compensation and Alignment Framework for Image Restoration	Wenyang Liu · Yi Wang · Kim-Hui Yap · Lap-Pui Chau	N/A	Code
HierVL: Learning Hierarchical Video-Language Embeddings	Kumar Ashutosh · Rohit Girdhar · Lorenzo Torresani · Kristen Grauman	N/A	Code
Phone2Proc: Bringing Robust Robots Into Our Chaotic World	Matt Deitke · Rose Hendrix · Ali Farhadi · Kiana Ehsani · Aniruddha Kembhavi	N/A	Code
A Light Touch Approach to Teaching Transformers Multi-View Geometry	Yash Bhalgat · João F. Henriques · Andrew Zisserman	N/A	Code
Clothed Human Performance Capture With a Double-Layer Neural Radiance Fields	Kangkan Wang · Guofeng Zhang · Suxu Cong · Jian Yang	N/A	Code
AutoFocusFormer: Image Segmentation off the Grid	Chen Ziwen · Kaushik Patnaik · Shuangfei Zhai · Alvin Wan · Zhile Ren · Alexander G. Schwing · Alex Colburn · Li Fuxin	N/A	Code
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion	Davis Rempe · Zhengyi Luo · Xue Bin Peng · Ye Yuan · Kris Kitani · Karsten Kreis · Sanja Fidler · Or Litany	N/A	Code
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking	Jinkun Cao · Jiangmiao Pang · Xinshuo Weng · Rawal Khirodkar · Kris Kitani	N/A	Code
Spider GAN: Leveraging Friendly Neighbors To Accelerate GAN Training	Siddarth Asokan · Chandra Sekhar Seelamantula	N/A	Code
Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation	Jiawei Du · Yidi Jiang · Vincent Y. F. Tan · Joey Tianyi Zhou · Haizhou Li	N/A	Code
Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo	Yuesong Wang · Zhaojie Zeng · Tao Guan · Wei Yang · Zhuo Chen · Wenkai Liu · Luoyuan Xu · Yawei Luo	N/A	Code
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares	Dominik Muhle · Lukas Koestler · Krishna Murthy Jatavallabhula · Daniel Cremers	N/A	Code
Learning Anchor Transformations for 3D Garment Animation	Fang Zhao · Zekun Li · Shaoli Huang · Junwu Weng · Tianfei Zhou · Guo-Sen Xie · Jue Wang · Ying Shan	N/A	Code
PyPose: A Library for Robot Learning With Physics-Based Optimization	Chen Wang · Dasong Gao · Kuan Xu · Junyi Geng · Yaoyu Hu · Yuheng Qiu · Bowen Li · Fan Yang · Brady Moon · Abhinav Pandey · Aryan · Jiahe Xu · Tianhao Wu · Haonan He · Daning Huang · Zhongqiang Ren · Shibo Zhao · Taimeng Fu · Pranay Reddy · Xiao Lin · Wenshan Wang · Jingnan Shi · Rajat Talak · Kun Cao · Yi Du · Han Wang · Huai Yu · Shanzhao Wang · Siyu Chen · Ananth Kashyap · Rohan Bandaru · Karthik Dantu · Jiajun Wu · Lihua Xie · Luca Carlone · Marco Hutter · Sebastian Scherer	N/A	Code
Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge	Steven Spratley · Krista A. Ehinger · Tim Miller	N/A	Code
DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata	Ehsan Pajouheshgar · Yitao Xu · Tong Zhang · Sabine Süsstrunk	N/A	Code
Learning Generative Structure Prior for Blind Text Image Super-Resolution	Xiaoming Li · Wangmeng Zuo · Chen Change Loy	N/A	Code
CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis	Juntian Zheng · Qingyuan Zheng · Lixing Fang · Yun Liu · Li Yi	N/A	Code
SCPNet: Semantic Scene Completion on Point Cloud	Zhaoyang Xia · Youquan Liu · Xin Li · Xinge Zhu · Yuexin Ma · Yikang Li · Yuenan Hou · Yu Qiao	N/A	Code
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation	Zhen Li · Zuo-Liang Zhu · Ling-Hao Han · Qibin Hou · Chun-Le Guo · Ming-Ming Cheng	N/A	Code
Behavioral Analysis of Vision-and-Language Navigation Agents	Zijiao Yang · Arjun Majumdar · Stefan Lee	N/A	Code
Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation	Yuwei Yang · Munawar Hayat · Zhao Jin · Chao Ren · Yinjie Lei	N/A	Code
Directional Connectivity-Based Segmentation of Medical Images	Ziyun Yang · Sina Farsiu	N/A	Code
ScanDMM: A Deep Markov Model of Scanpath Prediction for 360° Images	Xiangjie Sui · Yuming Fang · Hanwei Zhu · Shiqi Wang · Zhou Wang	N/A	Code
3D Shape Reconstruction of Semi-Transparent Worms	Thomas P. Ilett · Omer Yuval · Thomas Ranner · Netta Cohen · David C. Hogg	N/A	Code
Patch-Craft Self-Supervised Training for Correlated Image Denoising	Gregory Vaksman · Michael Elad	N/A	Code
NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images	Xiaoxu Meng · Weikai Chen · Bo Yang	N/A	Code
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering	Zongrui Li · Qian Zheng · Boxin Shi · Gang Pan · Xudong Jiang	N/A	Code
Context-Aware Alignment and Mutual Masking for 3D-Language Pre-Training	Zhao Jin · Munawar Hayat · Yuwei Yang · Yulan Guo · Yinjie Lei	N/A	Code
Unsupervised Object Localization: Observing the Background To Discover Objects	Oriane Siméoni · Chloé Sekkat · Gilles Puy · Antonín Vobecký · Éloi Zablocki · Patrick Pérez	N/A	Code
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery	Muli Yang · Liancheng Wang · Cheng Deng · Hanwang Zhang	N/A	Code
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion	Yushi Lan · Xuyi Meng · Shuai Yang · Chen Change Loy · Bo Dai	N/A	Code
NeuralField-LDM: Scene Generation With Hierarchical Latent Diffusion Models	Seung Wook Kim · Bradley Brown · Kangxue Yin · Karsten Kreis · Katja Schwarz · Daiqing Li · Robin Rombach · Antonio Torralba · Sanja Fidler	N/A	Code
ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation	Alexandre Boulch · Corentin Sautier · Björn Michele · Gilles Puy · Renaud Marlet	N/A	Code
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction	Donghao Zhou · Chunbin Gu · Junde Xu · Furui Liu · Qiong Wang · Guangyong Chen · Pheng-Ann Heng	N/A	Code
Aligning Bag of Regions for Open-Vocabulary Object Detection	Size Wu · Wenwei Zhang · Sheng Jin · Wentao Liu · Chen Change Loy	N/A	Code
Neuralangelo: High-Fidelity Neural Surface Reconstruction	Zhaoshuo Li · Thomas Müller · Alex Evans · Russell H. Taylor · Mathias Unberath · Ming-Yu Liu · Chen-Hsuan Lin	N/A	Code
PCT-Net: Full Resolution Image Harmonization Using Pixel-Wise Color Transformations	Julian Jorge Andrade Guerreiro · Mitsuru Nakazawa · Björn Stenger	N/A	Code
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers	Ryan Grainger · Thomas Paniagua · Xi Song · Naresh Cuntoor · Mun Wai Lee · Tianfu Wu	N/A	Code
Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation	Dong Zhao · Shuang Wang · Qi Zang · Dou Quan · Xiutiao Ye · Licheng Jiao	N/A	Code
MEGANE: Morphable Eyeglass and Avatar Network	Junxuan Li · Shunsuke Saito · Tomas Simon · Stephen Lombardi · Hongdong Li · Jason Saragih	N/A	Code
Generalizable Implicit Neural Representations via Instance Pattern Composers	Chiheon Kim · Doyup Lee · Saehoon Kim · Minsu Cho · Wook-Shin Han	N/A	Code
Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution	Bangyan Liao · Delin Qu · Yifei Xue · Huiqing Zhang · Yizhen Lao	N/A	Code
Distribution Shift Inversion for Out-of-Distribution Prediction	Runpeng Yu · Songhua Liu · Xingyi Yang · Xinchao Wang	N/A	Code
Wide-Angle Rectification via Content-Aware Conformal Mapping	Qi Zhang · Hongdong Li · Qing Wang	N/A	Code
WildLight: In-the-Wild Inverse Rendering With a Flashlight	Ziang Cheng · Junxuan Li · Hongdong Li	N/A	Code
Physics-Driven Diffusion Models for Impact Sound Synthesis From Videos	Kun Su · Kaizhi Qian · Eli Shlizerman · Antonio Torralba · Chuang Gan	N/A	Code
Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks	Markus Frey · Christian F. Doeller · Caswell Barry	N/A	Code
Inverting the Imaging Process by Learning an Implicit Camera Model	Xin Huang · Qi Zhang · Ying Feng · Hongdong Li · Qing Wang	N/A	Code
EC2: Emergent Communication for Embodied Control	Yao Mu · Shunyu Yao · Mingyu Ding · Ping Luo · Chuang Gan	N/A	Code
Light Source Separation and Intrinsic Image Decomposition Under AC Illumination	Yusaku Yoshida · Ryo Kawahara · Takahiro Okabe	N/A	Code
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding	Thanh-Dat Truong · Ngan Le · Bhiksha Raj · Jackson Cothren · Khoa Luu	N/A	Code
Learning Locally Editable Virtual Humans	Hsuan-I Ho · Lixin Xue · Jie Song · Otmar Hilliges	N/A	Code
Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation	Yuheng Lu · Chenfeng Xu · Xiaobao Wei · Xiaodong Xie · Masayoshi Tomizuka · Kurt Keutzer · Shanghang Zhang	N/A	Code
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning	Qiang He · Huangyuan Su · Jieyu Zhang · Xinwen Hou	N/A	Code
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection	Anthony Chen · Kevin Zhang · Renrui Zhang · Zihan Wang · Yuheng Lu · Yandong Guo · Shanghang Zhang	N/A	Code
OrienterNet: Visual Localization in 2D Public Maps With Neural Matching	Paul-Edouard Sarlin · Daniel DeTone · Tsun-Yi Yang · Armen Avetisyan · Julian Straub · Tomasz Malisiewicz · Samuel Rota Bulò · Richard Newcombe · Peter Kontschieder · Vasileios Balntas	N/A	Code
Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation	Yixin Zhang · Zilei Wang · Weinan He	N/A	Code
Efficient Movie Scene Detection Using State-Space Transformers	Md Mohaiminul Islam · Mahmudul Hasan · Kishan Shamsundar Athrey · Tony Braskich · Gedas Bertasius	N/A	Code
Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction	Mingfang Zhang · Jinglu Wang · Xiao Li · Yifei Huang · Yoichi Sato · Yan Lu	N/A	Code
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks	Xiao Han · Xiatian Zhu · Licheng Yu · Li Zhang · Yi-Zhe Song · Tao Xiang	N/A	Code
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning	Qian Jiang · Changyou Chen · Han Zhao · Liqun Chen · Qing Ping · Son Dinh Tran · Yi Xu · Belinda Zeng · Trishul Chilimbi	N/A	Code
Level-S$^2$fM: Structure From Motion on Neural Level Set of Implicit Surfaces	Yuxi Xiao · Nan Xue · Tianfu Wu · Gui-Song Xia	N/A	Code
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection	Xinjiang Wang · Xingyi Yang · Shilong Zhang · Yijiang Li · Litong Feng · Shijie Fang · Chengqi Lyu · Kai Chen · Wayne Zhang	N/A	Code
Dense Distinct Query for End-to-End Object Detection	Shilong Zhang · Xinjiang Wang · Jiaqi Wang · Jiangmiao Pang · Chengqi Lyu · Wenwei Zhang · Ping Luo · Kai Chen	N/A	Code
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation	Zicong Fan · Omid Taheri · Dimitrios Tzionas · Muhammed Kocabas · Manuel Kaufmann · Michael J. Black · Otmar Hilliges	N/A	Code
BiFormer: Vision Transformer With Bi-Level Routing Attention	Lei Zhu · Xinjiang Wang · Zhanghan Ke · Wayne Zhang · Rynson W.H. Lau	N/A	Code
Hierarchical Video-Moment Retrieval and Step-Captioning	Abhay Zala · Jaemin Cho · Satwik Kottur · Xilun Chen · Barlas Oguz · Yashar Mehdad · Mohit Bansal	N/A	Code
Progressive Open Space Expansion for Open-Set Model Attribution	Tianyun Yang · Danding Wang · Fan Tang · Xinying Zhao · Juan Cao · Sheng Tang	N/A	Code
Deep Depth Estimation From Thermal Image	Ukcheol Shin · Jinsun Park · In So Kweon	N/A	Code
Incremental 3D Semantic Scene Graph Prediction From RGB Sequences	Shun-Cheng Wu · Keisuke Tateno · Nassir Navab · Federico Tombari	N/A	Code
Visual Programming: Compositional Visual Reasoning Without Training	Tanmay Gupta · Aniruddha Kembhavi	N/A	Code
Change-Aware Sampling and Contrastive Learning for Satellite Images	Utkarsh Mall · Bharath Hariharan · Kavita Bala	N/A	Code
NULL-Text Inversion for Editing Real Images Using Guided Diffusion Models	Ron Mokady · Amir Hertz · Kfir Aberman · Yael Pritch · Daniel Cohen-Or	N/A	Code
RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors	Rui-Qi Wu · Zheng-Peng Duan · Chun-Le Guo · Zhi Chai · Chongyi Li	N/A	Code
Neural Part Priors: Learning To Optimize Part-Based Object Completion in RGB-D Scans	Aleksei Bokhovkin · Angela Dai	N/A	Code
Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy	Cheng Jiang · Xinhai Hou · Akhil Kondepudi · Asadur Chowdury · Christian W. Freudiger · Daniel A. Orringer · Honglak Lee · Todd C. Hollon	N/A	Code
Domain Expansion of Image Generators	Yotam Nitzan · Michaël Gharbi · Richard Zhang · Taesung Park · Jun-Yan Zhu · Daniel Cohen-Or · Eli Shechtman	N/A	Code
“Seeing” Electric Network Frequency From Events	Lexuan Xu · Guang Hua · Haijian Zhang · Lei Yu · Ning Qiao	N/A	Code
MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection	Wenda Zhao · Shigeng Xie · Fan Zhao · You He · Huchuan Lu	N/A	Code
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching	Jiahuan Yu · Jiahao Chang · Jianfeng He · Tianzhu Zhang · Jiyang Yu · Feng Wu	N/A	Code
SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence	Jiacheng Deng · Chuxin Wang · Jiahao Lu · Jianfeng He · Tianzhu Zhang · Jiyang Yu · Zhe Zhang	N/A	Code
Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection	Chang Xu · Jian Ding · Jinwang Wang · Wen Yang · Huai Yu · Lei Yu · Gui-Song Xia	N/A	Code
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning	Yu Wang · Pengchong Qiao · Chang Liu · Guoli Song · Xiawu Zheng · Jie Chen	N/A	Code
Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding	Praneeth Chakravarthula · Jim Aldon D’Souza · Ethan Tseng · Joe Bartusek · Felix Heide	N/A	Code
DNF: Decouple and Feedback Network for Seeing in the Dark	Xin Jin · Ling-Hao Han · Zhen Li · Chun-Le Guo · Zhi Chai · Chongyi Li	N/A	Code
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation	Samir Yitzhak Gadre · Mitchell Wortsman · Gabriel Ilharco · Ludwig Schmidt · Shuran Song	N/A	Code
NVTC: Nonlinear Vector Transform Coding	Runsen Feng · Zongyu Guo · Weiping Li · Zhibo Chen	N/A	Code
Towards Unified Scene Text Spotting Based on Sequence Generation	Taeho Kil · Seonghyeon Kim · Sukmin Seo · Yoonsik Kim · Daehee Kim	N/A	Code
Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation	Tsu-Jui Fu · Licheng Yu · Ning Zhang · Cheng-Yang Fu · Jong-Chyi Su · William Yang Wang · Sean Bell	N/A	Code
Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation	Pengchong Qiao · Zhidan Wei · Yu Wang · Zhennan Wang · Guoli Song · Fan Xu · Xiangyang Ji · Chang Liu · Jie Chen	N/A	Code
Progressively Optimized Local Radiance Fields for Robust View Synthesis	Andréas Meuleman · Yu-Lun Liu · Chen Gao · Jia-Bin Huang · Changil Kim · Min H. Kim · Johannes Kopf	N/A	Code
Neural Map Prior for Autonomous Driving	Xuan Xiong · Yicheng Liu · Tianyuan Yuan · Yue Wang · Yilun Wang · Hang Zhao	N/A	Code
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration	Yawei Li · Yuchen Fan · Xiaoyu Xiang · Denis Demandolx · Rakesh Ranjan · Radu Timofte · Luc Van Gool	N/A	Code
F2-NeRF: Fast Neural Radiance Field Training With Free Camera Trajectories	Peng Wang · Yuan Liu · Zhaoxi Chen · Lingjie Liu · Ziwei Liu · Taku Komura · Christian Theobalt · Wenping Wang	N/A	Code
Procedure-Aware Pretraining for Instructional Video Understanding	Honglu Zhou · Roberto Martín-Martín · Mubbasir Kapadia · Silvio Savarese · Juan Carlos Niebles	N/A	Code
High-Fidelity Guided Image Synthesis With Latent Diffusion Models	Jaskirat Singh · Stephen Gould · Liang Zheng	N/A	Code
Progressive Random Convolutions for Single Domain Generalization	Seokeon Choi · Debasmit Das · Sungha Choi · Seunghan Yang · Hyunsin Park · Sungrack Yun	N/A	Code
EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization	Junha Song · Jungsoo Lee · In So Kweon · Sungha Choi	N/A	Code
NoPe-NeRF: Optimising Neural Radiance Field With No Pose Prior	Wenjing Bian · Zirui Wang · Kejie Li · Jia-Wang Bian · Victor Adrian Prisacariu	N/A	Code
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds	Zihui Zhang · Bo Yang · Bing Wang · Bo Li	N/A	Code
Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning	Kaiyou Song · Jin Xie · Shan Zhang · Zimeng Luo	N/A	Code
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations	Jiahao Zhang · Anoop Cherian · Yanbin Liu · Yizhak Ben-Shabat · Cristian Rodriguez · Stephen Gould	N/A	Code
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields	Mohammad Mahdi Johari · Camilla Carta · François Fleuret	N/A	Code
AutoRecon: Automated 3D Object Discovery and Reconstruction	Yuang Wang · Xingyi He · Sida Peng · Haotong Lin · Hujun Bao · Xiaowei Zhou	N/A	Code
Ultra-High Resolution Segmentation With Ultra-Rich Context: A Novel Benchmark	Deyi Ji · Feng Zhao · Hongtao Lu · Mingyuan Tao · Jieping Ye	N/A	Code
NeUDF: Leaning Neural Unsigned Distance Fields With Volume Rendering	Yu-Tao Liu · Li Wang · Jie Yang · Weikai Chen · Xiaoxu Meng · Bo Yang · Lin Gao	N/A	Code
Improving Cross-Modal Retrieval With Set of Diverse Embeddings	Dongwon Kim · Namyup Kim · Suha Kwak	N/A	Code
An Image Quality Assessment Dataset for Portraits	Nicolas Chahine · Stefania Calarasanu · Davide Garcia-Civiero · Théo Cayla · Sira Ferradans · Jean Ponce	N/A	Code
Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor	Hyeokjun Kweon · Sung-Hoon Yoon · Kuk-Jin Yoon	N/A	Code
NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer	Kun Zhou · Wenbo Li · Yi Wang · Tao Hu · Nianjuan Jiang · Xiaoguang Han · Jiangbo Lu	N/A	Code
ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations	Panos Achlioptas · Ian Huang · Minhyuk Sung · Sergey Tulyakov · Leonidas Guibas	N/A	Code
RelightableHands: Efficient Neural Relighting of Articulated Hand Models	Shun Iwase · Shunsuke Saito · Tomas Simon · Stephen Lombardi · Timur Bagautdinov · Rohan Joshi · Fabian Prada · Takaaki Shiratori · Yaser Sheikh · Jason Saragih	N/A	Code
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud	Ziqin Wang · Bowen Cheng · Lichen Zhao · Dong Xu · Yang Tang · Lu Sheng	N/A	Code
MVImgNet: A Large-Scale Dataset of Multi-View Images	Xianggang Yu · Mutian Xu · Yidan Zhang · Haolin Liu · Chongjie Ye · Yushuang Wu · Zizheng Yan · Chenming Zhu · Zhangyang Xiong · Tianyou Liang · Guanying Chen · Shuguang Cui · Xiaoguang Han	N/A	Code
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling With Informative-Preserved Reconstruction and Self-Distilled Consistency	Mingye Xu · Mutian Xu · Tong He · Wanli Ouyang · Yali Wang · Xiaoguang Han · Yu Qiao	N/A	Code
Self-Guided Diffusion Models	Vincent Tao Hu · David W. Zhang · Yuki M. Asano · Gertjan J. Burghouts · Cees G. M. Snoek	N/A	Code
REC-MV: REconstructing 3D Dynamic Cloth From Monocular Videos	Lingteng Qiu · Guanying Chen · Jiapeng Zhou · Mutian Xu · Junle Wang · Xiaoguang Han	N/A	Code
OneFormer: One Transformer To Rule Universal Image Segmentation	Jitesh Jain · Jiachen Li · Mang Tik Chiu · Ali Hassani · Nikita Orlov · Humphrey Shi	N/A	Code
Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations	Vibashan VS · Ning Yu · Chen Xing · Can Qin · Mingfei Gao · Juan Carlos Niebles · Vishal M. Patel · Ran Xu	N/A	Code
Multiclass Confidence and Localization Calibration for Object Detection	Bimsara Pathiraja · Malitha Gunawardhana · Muhammad Haris Khan	N/A	Code
Structured Kernel Estimation for Photon-Limited Deconvolution	Yash Sanghvi · Zhiyuan Mao · Stanley H. Chan	N/A	Code
CLIPPO: Image-and-Language Understanding From Pixels Only	Michael Tschannen · Basil Mustafa · Neil Houlsby	N/A	Code
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition	Lilang Lin · Jiahang Zhang · Jiaying Liu	N/A	Code
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging	Siddharth Somasundaram · Akshat Dave · Connor Henley · Ashok Veeraraghavan · Ramesh Raskar	N/A	Code
Shape-Aware Text-Driven Layered Video Editing	Yao-Chih Lee · Ji-Ze Genevieve Jang · Yi-Ting Chen · Elizabeth Qiu · Jia-Bin Huang	N/A	Code
FlexiViT: One Model for All Patch Sizes	Lucas Beyer · Pavel Izmailov · Alexander Kolesnikov · Mathilde Caron · Simon Kornblith · Xiaohua Zhai · Matthias Minderer · Michael Tschannen · Ibrahim Alabdulmohsin · Filip Pavetic	N/A	Code
Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks	Binghui Wang · Meng Pang · Yun Dong	N/A	Code
HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling	Yujian Zheng · Zirong Jin · Moran Li · Haibin Huang · Chongyang Ma · Shuguang Cui · Xiaoguang Han	N/A	Code
RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval	Yanglin Feng · Hongyuan Zhu · Dezhong Peng · Xi Peng · Peng Hu	N/A	Code
Learning Federated Visual Prompt in Null Space for MRI Reconstruction	Chun-Mei Feng · Bangjun Li · Xinxing Xu · Yong Liu · Huazhu Fu · Wangmeng Zuo	N/A	Code
VGFlow: Visibility Guided Flow Network for Human Reposing	Rishabh Jain · Krishna Kumar Singh · Mayur Hemani · Jingwan Lu · Mausoom Sarkar · Duygu Ceylan · Balaji Krishnamurthy	N/A	Code
Learning Attention As Disentangler for Compositional Zero-Shot Learning	Shaozhe Hao · Kai Han · Kwan-Yee K. Wong	N/A	Code
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces	Yiqun Wang · Ivan Skorokhodov · Peter Wonka	N/A	Code
Perception-Oriented Single Image Super-Resolution Using Optimal Objective Estimation	Seung Ho Park · Young Su Moon · Nam Ik Cho	N/A	Code
Learning To Exploit Temporal Structure for Biomedical Vision–Language Processing	Shruthi Bannur · Stephanie Hyland · Qianchu Liu · Fernando Pérez-García · Maximilian Ilse · Daniel C. Castro · Benedikt Boecking · Harshita Sharma · Kenza Bouzid · Anja Thieme · Anton Schwaighofer · Maria Wetscherek · Matthew P. Lungren · Aditya Nori · Javier Alvarez-Valle · Ozan Oktay	N/A	Code
TRACE: 5D Temporal Regression of Avatars With Dynamic Cameras in 3D Environments	Yu Sun · Qian Bao · Wu Liu · Tao Mei · Michael J. Black	N/A	Code
Neumann Network With Recursive Kernels for Single Image Defocus Deblurring	Yuhui Quan · Zicong Wu · Hui Ji	N/A	Code
Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation	Mattia Litrico · Alessio Del Bue · Pietro Morerio	N/A	Code
PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes	Ruoyu Wang · Zehao Yu · Shenghua Gao	N/A	Code
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference	Haoran You · Yunyang Xiong · Xiaoliang Dai · Bichen Wu · Peizhao Zhang · Haoqi Fan · Peter Vajda · Yingyan (Celine) Lin	N/A	Code
Attention-Based Point Cloud Edge Sampling	Chengzhi Wu · Junwei Zheng · Julius Pfrommer · Jürgen Beyerer	N/A	Code
Structured 3D Features for Reconstructing Controllable Avatars	Enric Corona · Mihai Zanfir · Thiemo Alldieck · Eduard Gabriel Bazavan · Andrei Zanfir · Cristian Sminchisescu	N/A	Code
Zero-Shot Referring Image Segmentation With Global-Local Context Features	Seonghoon Yu · Paul Hongsuck Seo · Jeany Son	N/A	Code
CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective	Junwen Xiong · Ganglai Wang · Peng Zhang · Wei Huang · Yufei Zha · Guangtao Zhai	N/A	Code
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic Segmentation	Anwesa Choudhuri · Girish Chowdhary · Alexander G. Schwing	N/A	Code
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields	Rohith Agaram · Shaurya Dewan · Rahul Sajnani · Adrien Poulenard · Madhava Krishna · Srinath Sridhar	N/A	Code
Decoupled Multimodal Distilling for Emotion Recognition	Yong Li · Yuanzhi Wang · Zhen Cui	N/A	Code
TensoIR: Tensorial Inverse Rendering	Haian Jin · Isabella Liu · Peijia Xu · Xiaoshuai Zhang · Songfang Han · Sai Bi · Xiaowei Zhou · Zexiang Xu · Hao Su	N/A	Code
Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning	Jiayi Guo · Chaofei Wang · You Wu · Eric Zhang · Kai Wang · Xingqian Xu · Shiji Song · Humphrey Shi · Gao Huang	N/A	Code
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection	Jiawei Ma · Yulei Niu · Jincheng Xu · Shiyuan Huang · Guangxing Han · Shih-Fu Chang	N/A	Code
Unbalanced Optimal Transport: A Unified Framework for Object Detection	Henri De Plaen · Pierre-François De Plaen · Johan A. K. Suykens · Marc Proesmans · Tinne Tuytelaars · Luc Van Gool	N/A	Code
NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation	Yu Yin · Kamran Ghasedi · HsiangTao Wu · Jiaolong Yang · Xin Tong · Yun Fu	N/A	Code
Masked Image Training for Generalizable Deep Image Denoising	Haoyu Chen · Jinjin Gu · Yihao Liu · Salma Abdel Magid · Chao Dong · Qiong Wang · Hanspeter Pfister · Lei Zhu	N/A	Code
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation	Mayu Otani · Riku Togashi · Yu Sawai · Ryosuke Ishigami · Yuta Nakashima · Esa Rahtu · Janne Heikkilä · Shin’ichi Satoh	N/A	Code
Towards Flexible Multi-Modal Document Models	Naoto Inoue · Kotaro Kikuchi · Edgar Simo-Serra · Mayu Otani · Kota Yamaguchi	N/A	Code
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style	Fengyin Lin · Mingkang Li · Da Li · Timothy Hospedales · Yi-Zhe Song · Yonggang Qi	N/A	Code
LidarGait: Benchmarking 3D Gait Recognition With Point Clouds	Chuanfu Shen · Chao Fan · Wei Wu · Rui Wang · George Q. Huang · Shiqi Yu	N/A	Code
OpenGait: Revisiting Gait Recognition Towards Better Practicality	Chao Fan · Junhao Liang · Chuanfu Shen · Saihui Hou · Yongzhen Huang · Shiqi Yu	N/A	Code
Towards Unsupervised Object Detection From LiDAR Point Clouds	Lunjun Zhang · Anqi Joyce Yang · Yuwen Xiong · Sergio Casas · Bin Yang · Mengye Ren · Raquel Urtasun	N/A	Code
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images	Ming Y. Lu · Bowen Chen · Andrew Zhang · Drew F. K. Williamson · Richard J. Chen · Tong Ding · Long Phi Le · Yung-Sung Chuang · Faisal Mahmood	N/A	Code
DivClust: Controlling Diversity in Deep Clustering	Ioannis Maniadis Metaxas · Georgios Tzimiropoulos · Ioannis Patras	N/A	Code
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning	Runqi Wang · Xiaoyue Duan · Guoliang Kang · Jianzhuang Liu · Shaohui Lin · Songcen Xu · Jinhu Lü · Baochang Zhang	N/A	Code
Unsupervised Continual Semantic Adaptation Through Neural Rendering	Zhizheng Liu · Francesco Milano · Jonas Frey · Roland Siegwart · Hermann Blum · Cesar Cadena	N/A	Code
Semi-Supervised Parametric Real-World Image Harmonization	Ke Wang · Michaël Gharbi · He Zhang · Zhihao Xia · Eli Shechtman	N/A	Code
EqMotion: Equivariant Multi-Agent Motion Prediction With Invariant Interaction Reasoning	Chenxin Xu · Robby T. Tan · Yuhong Tan · Siheng Chen · Yu Guang Wang · Xinchao Wang · Yanfeng Wang	N/A	Code
BUOL: A Bottom-Up Framework With Occupancy-Aware Lifting for Panoptic 3D Scene Reconstruction From a Single Image	Tao Chu · Pan Zhang · Qiong Liu · Jiaqi Wang	N/A	Code
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation	Ning Zhang · Francesco Nex · George Vosselman · Norman Kerle	N/A	Code
Novel-View Acoustic Synthesis	Changan Chen · Alexander Richard · Roman Shapovalov · Vamsi Krishna Ithapu · Natalia Neverova · Kristen Grauman · Andrea Vedaldi	N/A	Code
Audio-Visual Grouping Network for Sound Localization From Mixtures	Shentong Mo · Yapeng Tian	N/A	Code
Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations	Sagnik Majumder · Hao Jiang · Pierre Moulon · Ethan Henderson · Paul Calamia · Kristen Grauman · Vamsi Krishna Ithapu	N/A	Code
ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders	Sanghyun Woo · Shoubhik Debnath · Ronghang Hu · Xinlei Chen · Zhuang Liu · In So Kweon · Saining Xie	N/A	Code
Collaboration Helps Camera Overtake LiDAR in 3D Detection	Yue Hu · Yifan Lu · Runsheng Xu · Weidi Xie · Siheng Chen · Yanfeng Wang	N/A	Code
Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment	Runqi Wang · Hao Zheng · Xiaoyue Duan · Jianzhuang Liu · Yuning Lu · Tian Wang · Songcen Xu · Baochang Zhang	N/A	Code
MetaCLUE: Towards Comprehensive Visual Metaphors Research	Arjun R. Akula · Brendan Driscoll · Pradyumna Narayana · Soravit Changpinyo · Zhiwei Jia · Suyash Damle · Garima Pruthi · Sugato Basu · Leonidas Guibas · William Freeman · Yuanzhen Li · Varun Jampani	N/A	Code
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric	Pengxin Zeng · Yunfan Li · Peng Hu · Dezhong Peng · Jiancheng Lv · Xi Peng	N/A	Code
Visual Atoms: Pre-Training Vision Transformers With Sinusoidal Waves	Sora Takashima · Ryo Hayamizu · Nakamasa Inoue · Hirokatsu Kataoka · Rio Yokota	N/A	Code
3D-Aware Multi-Class Image-to-Image Translation With NeRFs	Senmao Li · Joost van de Weijer · Yaxing Wang · Fahad Shahbaz Khan · Meiqin Liu · Jian Yang	N/A	Code
E2PN: Efficient SE(3)-Equivariant Point Network	Minghan Zhu · Maani Ghaffari · William A. Clark · Huei Peng	N/A	Code
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing	Yichen Sheng · Jianming Zhang · Julien Philip · Yannick Hold-Geoffroy · Xin Sun · He Zhang · Lu Ling · Bedrich Benes	N/A	Code
UniSim: A Neural Closed-Loop Sensor Simulator	Ze Yang · Yun Chen · Jingkang Wang · Sivabalan Manivasagam · Wei-Chiu Ma · Anqi Joyce Yang · Raquel Urtasun	N/A	Code
Occlusion-Free Scene Recovery via Neural Radiance Fields	Chengxuan Zhu · Renjie Wan · Yunkai Tang · Boxin Shi	N/A	Code
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting With Neural Radiance Fields	Ashkan Mirzaei · Tristan Aumentado-Armstrong · Kosta Derpanis · Jonathan Kelly · Marcus A. Brubaker · Igor Gilitschenski · Alex Levinshtein	N/A	Code
Class-Incremental Exemplar Compression for Class-Incremental Learning	Zilin Luo · Yaoyao Liu · Bernt Schiele · Qianru Sun	N/A	Code
DETRs With Hybrid Matching	Ding Jia · Yuhui Yuan · Haodi He · Xiaopei Wu · Haojun Yu · Weihong Lin · Lei Sun · Chao Zhang · Han Hu	N/A	Code
3D Human Mesh Estimation From Virtual Markers	Xiaoxuan Ma · Jiajun Su · Chunyu Wang · Wentao Zhu · Yizhou Wang	N/A	Code
Objaverse: A Universe of Annotated 3D Objects	Matt Deitke · Dustin Schwenk · Jordi Salvador · Luca Weihs · Oscar Michel · Eli VanderBilt · Ludwig Schmidt · Kiana Ehsani · Aniruddha Kembhavi · Ali Farhadi	N/A	Code
Adjustment and Alignment for Unbiased Open Set Domain Adaptation	Wuyang Li · Jie Liu · Bo Han · Yixuan Yuan	N/A	Code
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition	Ishan Rajendrakumar Dave · Mamshad Nayeem Rizve · Chen Chen · Mubarak Shah	N/A	Code
EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging	Lishun Wang · Miao Cao · Xin Yuan	N/A	Code
Continual Detection Transformer for Incremental Object Detection	Yaoyao Liu · Bernt Schiele · Andrea Vedaldi · Christian Rupprecht	N/A	Code
Hierarchical Prompt Learning for Multi-Task Learning	Yajing Liu · Yuning Lu · Hao Liu · Yaozu An · Zhuoran Xu · Zhuokun Yao · Baofeng Zhang · Zhiwei Xiong · Chenguang Gui	N/A	Code
Boost Vision Transformer With GPU-Friendly Sparsity and Quantization	Chong Yu · Tao Chen · Zhongxue Gan · Jiayuan Fan	N/A	Code
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression	Junho Kim · Byung-Kwan Lee · Yong Man Ro	N/A	Code
Regularizing Second-Order Influences for Continual Learning	Zhicheng Sun · Yadong Mu · Gang Hua	N/A	Code
Heterogeneous Continual Learning	Divyam Madaan · Hongxu Yin · Wonmin Byeon · Jan Kautz · Pavlo Molchanov	N/A	Code
DP-NeRF: Deblurred Neural Radiance Field With Physical Scene Priors	Dogyoon Lee · Minhyeok Lee · Chajin Shin · Sangyoun Lee	N/A	Code
3D-POP – An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds With Marker-Based Motion Capture	Hemal Naik · Alex Hoi Hang Chan · Junran Yang · Mathilde Delacoux · Iain D. Couzin · Fumihiro Kano · Máté Nagy	N/A	Code
Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives	Daniel Widdowson · Vitaliy Kurlin	N/A	Code
Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation	Chunlu Li · Andreas Morel-Forster · Thomas Vetter · Bernhard Egger · Adam Kortylewski	N/A	Code
Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization	Shichao Dong · Jin Wang · Renhe Ji · Jiajun Liang · Haoqiang Fan · Zheng Ge	N/A	Code
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation	Qihao Liu · Adam Kortylewski · Alan L. Yuille	N/A	Code
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking	Yukang Chen · Jianhui Liu · Xiangyu Zhang · Xiaojuan Qi · Jiaya Jia	N/A	Code
1000 FPS HDR Video With a Spike-RGB Hybrid Camera	Yakun Chang · Chu Zhou · Yuchen Hong · Liwen Hu · Chao Xu · Tiejun Huang · Boxin Shi	N/A	Code
How to Backdoor Diffusion Models?	Sheng-Yen Chou · Pin-Yu Chen · Tsung-Yi Ho	N/A	Code
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification	Meike Nauta · Jörg Schlötterer · Maurice van Keulen · Christin Seifert	N/A	Code
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers	Siyuan Wei · Tianzhu Ye · Shen Zhang · Yao Tang · Jiajun Liang	N/A	Code
Energy-Efficient Adaptive 3D Sensing	Brevin Tilmon · Zhanghao Sun · Sanjeev J. Koppal · Yicheng Wu · Georgios Evangelidis · Ramzi Zahreddine · Gurunandan Krishnan · Sizhuo Ma · Jian Wang	N/A	Code
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data	Yuhao Chen · Xin Tan · Borui Zhao · Zhaowei Chen · Renjie Song · Jiajun Liang · Xuequan Lu	N/A	Code
Fix the Noise: Disentangling Source Feature for Controllable Domain Translation	Dongyeun Lee · Jae Young Lee · Doyeon Kim · Jaehyun Choi · Jaejun Yoo · Junmo Kim	N/A	Code
Learning Transferable Spatiotemporal Representations From Natural Script Knowledge	Ziyun Zeng · Yuying Ge · Xihui Liu · Bin Chen · Ping Luo · Shu-Tao Xia · Yixiao Ge	N/A	Code
Side Adapter Network for Open-Vocabulary Semantic Segmentation	Mengde Xu · Zheng Zhang · Fangyun Wei · Han Hu · Xiang Bai	N/A	Code
A Strong Baseline for Generalized Few-Shot Semantic Segmentation	Sina Hajimiri · Malik Boudiaf · Ismail Ben Ayed · Jose Dolz	N/A	Code
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations	Lei Hsiung · Yun-Yun Tsai · Pin-Yu Chen · Tsung-Yi Ho	N/A	Code
Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection	Nishant Kumar · Siniša Šegvić · Abouzar Eslami · Stefan Gumhold	N/A	Code
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction	Aggelina Chatziagapi · Dimitris Samaras	N/A	Code
Learning Semantic Relationship Among Instances for Image-Text Matching	Zheren Fu · Zhendong Mao · Yan Song · Yongdong Zhang	N/A	Code
Understanding Imbalanced Semantic Segmentation Through Neural Collapse	Zhisheng Zhong · Jiequan Cui · Yibo Yang · Xiaoyang Wu · Xiaojuan Qi · Xiangyu Zhang · Jiaya Jia	N/A	Code
SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates	Mikaela Angelina Uy · Ricardo Martin-Brualla · Leonidas Guibas · Ke Li	N/A	Code
MonoHuman: Animatable Human Neural Field From Monocular Video	Zhengming Yu · Wei Cheng · Xian Liu · Wayne Wu · Kwan-Yee Lin	N/A	Code
Affection: Learning Affective Explanations for Real-World Visual Data	Panos Achlioptas · Maks Ovsjanikov · Leonidas Guibas · Sergey Tulyakov	N/A	Code
Sharpness-Aware Gradient Matching for Domain Generalization	Pengfei Wang · Zhaoxiang Zhang · Zhen Lei · Lei Zhang	N/A	Code
Generalized Decoding for Pixel, Image, and Language	Xueyan Zou · Zi-Yi Dou · Jianwei Yang · Zhe Gan · Linjie Li · Chunyuan Li · Xiyang Dai · Harkirat Behl · Jianfeng Wang · Lu Yuan · Nanyun Peng · Lijuan Wang · Yong Jae Lee · Jianfeng Gao	N/A	Code
How You Feelin’? Learning Emotions and Mental States in Movie Scenes	Dhruv Srivastava · Aditya Kumar Singh · Makarand Tapaswi	N/A	Code
Improving Visual Representation Learning Through Perceptual Understanding	Samyakh Tukra · Frederick Hoffman · Ken Chatfield	N/A	Code
PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering	Han Yan · Celong Liu · Chao Ma · Xing Mei	N/A	Code
HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions	Anshul Shah · Aniket Roy · Ketul Shah · Shlok Mishra · David Jacobs · Anoop Cherian · Rama Chellappa	N/A	Code
FeatureBooster: Boosting Feature Descriptors With a Lightweight Neural Network	Xinjiang Wang · Zeyu Liu · Yu Hu · Wei Xi · Wenxian Yu · Danping Zou	N/A	Code
ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion	Sangmin Hong · Mohsen Yavartanoo · Reyhaneh Neshatavar · Kyoung Mu Lee	N/A	Code
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis	Allan Zhou · Moo Jin Kim · Lirui Wang · Pete Florence · Chelsea Finn	N/A	Code
Query-Centric Trajectory Prediction	Zikang Zhou · Jianping Wang · Yung-Hui Li · Yu-Kai Huang	N/A	Code
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding	Yanmin Wu · Xinhua Cheng · Renrui Zhang · Zesen Cheng · Jian Zhang	N/A	Code
Sliced Optimal Partial Transport	Yikun Bai · Bernhard Schmitzer · Matthew Thorpe · Soheil Kolouri	N/A	Code
PersonNeRF: Personalized Reconstruction From Photo Collections	Chung-Yi Weng · Pratul P. Srinivasan · Brian Curless · Ira Kemelmacher-Shlizerman	N/A	Code
Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers	Zhou Huang · Hang Dai · Tian-Zhu Xiang · Shuo Wang · Huai-Xin Chen · Jie Qin · Huan Xiong	N/A	Code
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images	Animesh Karnewar · Andrea Vedaldi · David Novotny · Niloy J. Mitra	N/A	Code
Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors	Gongjie Zhang · Zhipeng Luo · Zichen Tian · Jingyi Zhang · Xiaoqin Zhang · Shijian Lu	N/A	Code
Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images	Tiancheng Lin · Zhimiao Yu · Hongyu Hu · Yi Xu · Chang-Wen Chen	N/A	Code
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding	Minyoung Hwang · Jaeyeon Jeong · Minsoo Kim · Yoonseon Oh · Songhwai Oh	N/A	Code
Sketch2Saliency: Learning To Detect Salient Objects From Human Drawings	Ayan Kumar Bhunia · Subhadeep Koley · Amandeep Kumar · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
Picture That Sketch: Photorealistic Image Generation From Abstract Sketches	Subhadeep Koley · Ayan Kumar Bhunia · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not	Aneeshan Sain · Ayan Kumar Bhunia · Pinaki Nath Chowdhury · Subhadeep Koley · Tao Xiang · Yi-Zhe Song	N/A	Code
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data	Jihye Park · Sunwoo Kim · Soohyun Kim · Seokju Cho · Jaejun Yoo · Youngjung Uh · Seungryong Kim	N/A	Code
Depth Estimation From Indoor Panoramas With Neural Scene Representation	Wenjie Chang · Yueyi Zhang · Zhiwei Xiong	N/A	Code
What Can Human Sketches Do for Object Detection?	Pinaki Nath Chowdhury · Ayan Kumar Bhunia · Aneeshan Sain · Subhadeep Koley · Tao Xiang · Yi-Zhe Song	N/A	Code
SceneTrilogy: On Human Scene-Sketch and Its Complementarity With Photo and Text	Pinaki Nath Chowdhury · Ayan Kumar Bhunia · Aneeshan Sain · Subhadeep Koley · Tao Xiang · Yi-Zhe Song	N/A	Code
Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer	Jingpei Lu · Florian Richter · Michael C. Yip	N/A	Code
Fine-Grained Audible Video Description	Xuyang Shen · Dong Li · Jinxing Zhou · Zhen Qin · Bowen He · Xiaodong Han · Aixuan Li · Mochu Xiang · Lingpeng Kong · Meng Wang · Yu Qiao · Yiran Zhong	N/A	Code
EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention	Xinyu Liu · Houwen Peng · Ningxin Zheng · Yuqing Yang · Han Hu · Yixuan Yuan	N/A	Code
Relightable Neural Human Assets From Multi-View Gradient Illuminations	Taotao Zhou · Kai He · Di Wu · Teng Xu · Qixuan Zhang · Kuixiang Shao · Wenzheng Chen · Lan Xu · Jingyi Yu	N/A	Code
Music-Driven Group Choreography	Nhat Le · Thang Pham · Tuong Do · Erman Tjiputra · Quang D. Tran · Anh Nguyen	N/A	Code
DIP: Dual Incongruity Perceiving Network for Sarcasm Detection	Changsong Wen · Guoli Jia · Jufeng Yang	N/A	Code
MagicPony: Learning Articulated 3D Animals in the Wild	Shangzhe Wu · Ruining Li · Tomas Jakab · Christian Rupprecht · Andrea Vedaldi	N/A	Code
Preserving Linear Separability in Continual Learning by Backward Feature Projection	Qiao Gu · Dongsub Shim · Florian Shkurti	N/A	Code
Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues	Xingyu Ren · Jiankang Deng · Chao Ma · Yichao Yan · Xiaokang Yang	N/A	Code
HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models	Shan Ning · Longtian Qiu · Yongfei Liu · Xuming He	N/A	Code
Regularization of Polynomial Networks for Image Recognition	Grigorios G. Chrysos · Bohan Wang · Jiankang Deng · Volkan Cevher	N/A	Code
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR	Aneeshan Sain · Ayan Kumar Bhunia · Subhadeep Koley · Pinaki Nath Chowdhury · Soumitri Chattopadhyay · Tao Xiang · Yi-Zhe Song	N/A	Code
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement	Yuhui Wu · Chen Pan · Guoqing Wang · Yang Yang · Jiwei Wei · Chongyi Li · Heng Tao Shen	N/A	Code
Block Selection Method for Using Feature Norm in Out-of-Distribution Detection	Yeonguk Yu · Sungho Shin · Seongju Lee · Changhyun Jun · Kyoobin Lee	N/A	Code
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model With Discrete and Continuous Denoising	Mohammad Amin Shabani · Sepidehsadat Hosseini · Yasutaka Furukawa	N/A	Code
Integral Neural Networks	Kirill Solodskikh · Azim Kurbanov · Ruslan Aydarkhanov · Irina Zhelavskaya · Yury Parfenov · Dehua Song · Stamatios Lefkimmiatis	N/A	Code
FitMe: Deep Photorealistic 3D Morphable Model Avatars	Alexandros Lattas · Stylianos Moschoglou · Stylianos Ploumpis · Baris Gecer · Jiankang Deng · Stefanos Zafeiriou	N/A	Code
Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment	Kim Sung-Bin · Arda Senocak · Hyunwoo Ha · Andrew Owens · Tae-Hyun Oh	N/A	Code
Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup	Junyoung Byun · Myung-Joon Kwon · Seungju Cho · Yoonji Kim · Changick Kim	N/A	Code
Initialization Noise in Image Gradients and Saliency Maps	Ann-Christin Woerl · Jan Disselhoff · Michael Wand	N/A	Code
Two-Shot Video Object Segmentation	Kun Yan · Xiao Li · Fangyun Wei · Jinglu Wang · Chenbin Zhang · Ping Wang · Yan Lu	N/A	Code
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow	Itai Lang · Dror Aiger · Forrester Cole · Shai Avidan · Michael Rubinstein	N/A	Code
Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM	Hengyi Wang · Jingwen Wang · Lourdes Agapito	N/A	Code
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation	Shuting He · Henghui Ding · Wei Jiang	N/A	Code
Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments	Masakazu Yoshimura · Junji Otsuka · Atsushi Irie · Takeshi Ohashi	N/A	Code
Diffusion-Based Signed Distance Fields for 3D Shape Generation	Jaehyeok Shim · Changwoo Kang · Kyungdon Joo	N/A	Code
Handwritten Text Generation From Visual Archetypes	Vittorio Pippi · Silvia Cascianelli · Rita Cucchiara	N/A	Code
Novel Class Discovery for 3D Point Cloud Semantic Segmentation	Luigi Riz · Cristiano Saltori · Elisa Ricci · Fabio Poiesi	N/A	Code
DeltaEdit: Exploring Text-Free Training for Text-Driven Image Manipulation	Yueming Lyu · Tianwei Lin · Fu Li · Dongliang He · Jing Dong · Tieniu Tan	N/A	Code
SkyEye: Self-Supervised Bird’s-Eye-View Semantic Mapping Using Monocular Frontal View Images	Nikhil Gosala · Kürsat Petek · Paulo L. J. Drews-Jr · Wolfram Burgard · Abhinav Valada	N/A	Code
Towards Open-World Segmentation of Parts	Tai-Yu Pan · Qing Liu · Wei-Lun Chao · Brian Price	N/A	Code
DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization	Chao Chen · Xinhao Liu · Yiming Li · Li Ding · Chen Feng	N/A	Code
SINE: SINgle Image Editing With Text-to-Image Diffusion Models	Zhixing Zhang · Ligong Han · Arnab Ghosh · Dimitris N. Metaxas · Jian Ren	N/A	Code
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection	Long Li · Junwei Han · Ni Zhang · Nian Liu · Salman Khan · Hisham Cholakkal · Rao Muhammad Anwer · Fahad Shahbaz Khan	N/A	Code
TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization	Fabrizio Guillaro · Davide Cozzolino · Avneesh Sud · Nicholas Dufour · Luisa Verdoliva	N/A	Code
SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction	Yukang Cao · Kai Han · Kwan-Yee K. Wong	N/A	Code
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings	Daniel J. Trosten · Rwiddhi Chakraborty · Sigurd Løkse · Kristoffer Knutsen Wickstrøm · Robert Jenssen · Michael C. Kampffmeyer	N/A	Code
MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis	Tianhong Li · Huiwen Chang · Shlok Mishra · Han Zhang · Dina Katabi · Dilip Krishnan	N/A	Code
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection	Lianyu Wang · Meng Wang · Daoqiang Zhang · Huazhu Fu	N/A	Code
OvarNet: Towards Open-Vocabulary Object Attribute Recognition	Keyan Chen · Xiaolong Jiang · Yao Hu · Xu Tang · Yan Gao · Jianqi Chen · Weidi Xie	N/A	Code
GINA-3D: Learning To Generate Implicit Neural Assets in the Wild	Bokui Shen · Xinchen Yan · Charles R. Qi · Mahyar Najibi · Boyang Deng · Leonidas Guibas · Yin Zhou · Dragomir Anguelov	N/A	Code
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation	Qitao Zhao · Ce Zheng · Mengyuan Liu · Pichao Wang · Chen Chen	N/A	Code
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization	Huan Ren · Wenfei Yang · Tianzhu Zhang · Yongdong Zhang	N/A	Code
Learning Partial Correlation Based Deep Visual Representation for Image Classification	Saimunur Rahman · Piotr Koniusz · Lei Wang · Luping Zhou · Peyman Moghadam · Changming Sun	N/A	Code
Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph	Rixin Zhou · Jiafu Wei · Qian Zhang · Ruihua Qi · Xi Yang · Chuntao Li	N/A	Code
DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects	Chen Bao · Helin Xu · Yuzhe Qin · Xiaolong Wang	N/A	Code
Modeling the Distributional Uncertainty for Salient Object Detection Models	Xinyu Tian · Jing Zhang · Mochu Xiang · Yuchao Dai	N/A	Code
Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces	Fahad Shamshad · Koushik Srivatsan · Karthik Nandakumar	N/A	Code
Scene-Aware Egocentric 3D Human Pose Estimation	Jian Wang · Diogo Luvizon · Weipeng Xu · Lingjie Liu · Kripasindhu Sarkar · Christian Theobalt	N/A	Code
Camouflaged Instance Segmentation via Explicit De-Camouflaging	Naisong Luo · Yuwen Pan · Rui Sun · Tianzhu Zhang · Zhiwei Xiong · Feng Wu	N/A	Code
N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution	Haram Choi · Jeongmin Lee · Jihoon Yang	N/A	Code
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding	Gyeongman Kim · Hajin Shim · Hyunsu Kim · Yunjey Choi · Junho Kim · Eunho Yang	N/A	Code
GLIGEN: Open-Set Grounded Text-to-Image Generation	Yuheng Li · Haotian Liu · Qingyang Wu · Fangzhou Mu · Jianwei Yang · Jianfeng Gao · Chunyuan Li · Yong Jae Lee	N/A	Code
Balanced Spherical Grid for Egocentric View Synthesis	Changwoon Choi · Sang Min Kim · Young Min Kim	N/A	Code
V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception	Runsheng Xu · Xin Xia · JINLONG LI · Hanzhao Li · Shuo Zhang · Zhengzhong Tu · Zonglin Meng · Hao Xiang · Xiaoyu Dong · Rui Song · Hongkai Yu · Bolei Zhou · Jiaqi Ma	N/A	Code
VindLU: A Recipe for Effective Video-and-Language Pretraining	Feng Cheng · Xizi Wang · Jie Lei · David Crandall · Mohit Bansal · Gedas Bertasius	N/A	Code
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation	Jie Qin · Jie Wu · Pengxiang Yan · Ming Li · Ren Yuxi · Xuefeng Xiao · Yitong Wang · Rui Wang · Shilei Wen · Xin Pan · Xingang Wang	N/A	Code
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization	Zhixiang Min · Bingbing Zhuang · Samuel Schulter · Buyu Liu · Enrique Dunn · Manmohan Chandraker	N/A	Code
ABCD: Arbitrary Bitwise Coefficient for De-Quantization	Woo Kyoung Han · Byeonghun Lee · Sang Hyun Park · Kyong Hwan Jin	N/A	Code
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery	Sheng Zhang · Salman Khan · Zhiqiang Shen · Muzammal Naseer · Guangyi Chen · Fahad Shahbaz Khan	N/A	Code
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives	Chuntao Ding · Zhichao Lu · Shangguang Wang · Ran Cheng · Vishnu Naresh Boddeti	N/A	Code
MaPLe: Multi-Modal Prompt Learning	Muhammad Uzair Khattak · Hanoona Rasheed · Muhammad Maaz · Salman Khan · Fahad Shahbaz Khan	N/A	Code
Revisiting Residual Networks for Adversarial Robustness	Shihua Huang · Zhichao Lu · Kalyanmoy Deb · Vishnu Naresh Boddeti	N/A	Code
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification	Youngwook Kim · Jae Myung Kim · Jieun Jeong · Cordelia Schmid · Zeynep Akata · Jungwoo Lee	N/A	Code
Human Pose Estimation in Extremely Low-Light Conditions	Sohyun Lee · Jaesung Rim · Boseung Jeong · Geonu Kim · Byungju Woo · Haechan Lee · Sunghyun Cho · Suha Kwak	N/A	Code
Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution	Chenfan Qu · Chongyu Liu · Yuliang Liu · Xinhong Chen · Dezhi Peng · Fengjun Guo · Lianwen Jin	N/A	Code
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene	Minjung Son · Jeong Joon Park · Leonidas Guibas · Gordon Wetzstein	N/A	Code
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms	Qiuhong Anna Wei · Sijie Ding · Jeong Joon Park · Rahul Sajnani · Adrien Poulenard · Srinath Sridhar · Leonidas Guibas	N/A	Code
MACARONS: Mapping and Coverage Anticipation With RGB Online Self-Supervision	Antoine Guédon · Tom Monnier · Pascal Monasse · Vincent Lepetit	N/A	Code
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction	Zhen Wang · Shijie Zhou · Jeong Joon Park · Despoina Paschalidou · Suya You · Gordon Wetzstein · Leonidas Guibas · Achuta Kadambi	N/A	Code
Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos	Rohit Gupta · Anirban Roy · Claire Christensen · Sujeong Kim · Sarah Gerard · Madeline Cincebeaux · Ajay Divakaran · Todd Grindal · Mubarak Shah	N/A	Code
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network	Xuan Shen · Yaohua Wang · Ming Lin · Yilun Huang · Hao Tang · Xiuyu Sun · Yanzhi Wang	N/A	Code
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects	Marco Toschi · Riccardo De Matteo · Riccardo Spezialetti · Daniele De Gregorio · Luigi Di Stefano · Samuele Salti	N/A	Code
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields	Brian K. S. Isaac-Medina · Chris G. Willcocks · Toby P. Breckon	N/A	Code
A Generalized Framework for Video Instance Segmentation	Miran Heo · Sukjun Hwang · Jeongseok Hyun · Hanjung Kim · Seoung Wug Oh · Joon-Young Lee · Seon Joo Kim	N/A	Code
Video Probabilistic Diffusion Models in Projected Latent Space	Sihyun Yu · Kihyuk Sohn · Subin Kim · Jinwoo Shin	N/A	Code
X-Avatar: Expressive Human Avatars	Kaiyue Shen · Chen Guo · Manuel Kaufmann · Juan Jose Zarate · Julien Valentin · Jie Song · Otmar Hilliges	N/A	Code
Hi4D: 4D Instance Segmentation of Close Human Interaction	Yifei Yin · Chen Guo · Manuel Kaufmann · Juan Jose Zarate · Jie Song · Otmar Hilliges	N/A	Code
Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction	Bin Fan · Yuxin Mao · Mochu Xiang · Zhexiong Wan · Qi Liu	N/A	Code
Vita-CLIP: Video and Text Adaptive CLIP via Multimodal Prompting	Syed Talal Wasim · Muzammal Naseer · Salman Khan · Fahad Shahbaz Khan · Mubarak Shah	N/A	Code
MaskSketch: Unpaired Structure-Guided Masked Image Generation	Dina Bashkirova · José Lezama · Kihyuk Sohn · Kate Saenko · Irfan Essa	N/A	Code
Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning	Zhuowan Li · Xingrui Wang · Elias Stengel-Eskin · Adam Kortylewski · Wufei Ma · Benjamin Van Durme · Alan L. Yuille	N/A	Code
CREPE: Can Vision-Language Foundation Models Reason Compositionally?	Zixian Ma · Jerry Hong · Mustafa Omer Gul · Mona Gandhi · Irena Gao · Ranjay Krishna	N/A	Code
ORCa: Glossy Objects As Radiance-Field Cameras	Kushagra Tiwary · Akshat Dave · Nikhil Behari · Tzofi Klinghoffer · Ashok Veeraraghavan · Ramesh Raskar	N/A	Code
Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems	Yangyang Shu · Anton van den Hengel · Lingqiao Liu	N/A	Code
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving	Ben Agro · Quinlan Sykora · Sergio Casas · Raquel Urtasun	N/A	Code
Improved Test-Time Adaptation for Domain Generalization	Liang Chen · Yong Zhang · Yibing Song · Ying Shan · Lingqiao Liu	N/A	Code
Wavelet Diffusion Models Are Fast and Scalable Image Generators	Hao Phung · Quan Dao · Anh Tran	N/A	Code
Robust Dynamic Radiance Fields	Yu-Lun Liu · Chen Gao · Andréas Meuleman · Hung-Yu Tseng · Ayush Saraf · Changil Kim · Yung-Yu Chuang · Johannes Kopf · Jia-Bin Huang	N/A	Code
MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation	Simon Suo · Kelvin Wong · Justin Xu · James Tu · Alexander Cui · Sergio Casas · Raquel Urtasun	N/A	Code
Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement	Nancy Mehta · Akshay Dudhane · Subrahmanyam Murala · Syed Waqas Zamir · Salman Khan · Fahad Shahbaz Khan	N/A	Code
Class Adaptive Network Calibration	Bingyuan Liu · Jérôme Rony · Adrian Galdran · Jose Dolz · Ismail Ben Ayed	N/A	Code
PROB: Probabilistic Objectness for Open World Object Detection	Orr Zohar · Kuan-Chieh Wang · Serena Yeung	N/A	Code
Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation	Min Shi · Zihao Huang · Xianzheng Ma · Xiaowei Hu · Zhiguo Cao	N/A	Code
HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering	Bang-Dang Pham · Phong Tran · Anh Tran · Cuong Pham · Rang Nguyen · Minh Hoai	N/A	Code
On the Effects of Self-Supervision and Contrastive Alignment in Deep Multi-View Clustering	Daniel J. Trosten · Sigurd Løkse · Robert Jenssen · Michael C. Kampffmeyer	N/A	Code
Visual Prompt Tuning for Generative Transfer Learning	Kihyuk Sohn · Huiwen Chang · José Lezama · Luisa Polania · Han Zhang · Yuan Hao · Irfan Essa · Lu Jiang	N/A	Code
Towards End-to-End Generative Modeling of Long Videos With Memory-Efficient Bidirectional Transformers	Jaehoon Yoo · Semin Kim · Doyup Lee · Chiheon Kim · Seunghoon Hong	N/A	Code
MAGVIT: Masked Generative Video Transformer	Lijun Yu · Yong Cheng · Kihyuk Sohn · José Lezama · Han Zhang · Huiwen Chang · Alexander G. Hauptmann · Ming-Hsuan Yang · Yuan Hao · Irfan Essa · Lu Jiang	N/A	Code
NICO++: Towards Better Benchmarking for Domain Generalization	Xingxuan Zhang · Yue He · Renzhe Xu · Han Yu · Zheyan Shen · Peng Cui	N/A	Code
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization	Xingxuan Zhang · Renzhe Xu · Han Yu · Hao Zou · Peng Cui	N/A	Code
All-in-Focus Imaging From Event Focal Stack	Hanyue Lou · Minggui Teng · Yixin Yang · Boxin Shi	N/A	Code
Clover: Towards a Unified Video-Language Alignment and Fusion Model	Jingjia Huang · Yinan Li · Jiashi Feng · Xinglong Wu · Xiaoshuai Sun · Rongrong Ji	N/A	Code
UMat: Uncertainty-Aware Single Image High Resolution Material Capture	Carlos Rodriguez-Pardo · Henar Domínguez-Elvira · David Pascual-Hernández · Elena Garces	N/A	Code
Polarimetric iToF: Measuring High-Fidelity Depth Through Scattering Media	Daniel S. Jeon · Andréas Meuleman · Seung-Hwan Baek · Min H. Kim	N/A	Code
Freestyle Layout-to-Image Synthesis	Han Xue · Zhiwu Huang · Qianru Sun · Li Song · Wenjun Zhang	N/A	Code
Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior	Yuekun Dai · Yihang Luo · Shangchen Zhou · Chongyi Li · Chen Change Loy	N/A	Code
Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn	Ondrej Bohdal · Yinbing Tian · Yongshuo Zong · Ruchika Chavhan · Da Li · Henry Gouk · Li Guo · Timothy Hospedales	N/A	Code
EXCALIBUR: Encouraging and Evaluating Embodied Exploration	Hao Zhu · Raghav Kapoor · So Yeon Min · Winson Han · Jiatai Li · Kaiwen Geng · Graham Neubig · Yonatan Bisk · Aniruddha Kembhavi · Luca Weihs	N/A	Code
Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns	Bartłomiej Olber · Krystian Radlak · Adam Popowicz · Michal Szczepankiewicz · Krystian Chachuła	N/A	Code
Shakes on a Plane: Unsupervised Depth Estimation From Unstabilized Photography	Ilya Chugunov · Yuxuan Zhang · Felix Heide	N/A	Code
JacobiNeRF: NeRF Shaping With Mutual Information Gradients	Xiaomeng Xu · Yanchao Yang · Kaichun Mo · Boxiao Pan · Li Yi · Leonidas Guibas	N/A	Code
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers	Jihao Liu · Xin Huang · Jinliang Zheng · Yu Liu · Hongsheng Li	N/A	Code
Synthesizing Photorealistic Virtual Humans Through Cross-Modal Disentanglement	Siddarth Ravichandran · Ondřej Texler · Dimitar Dinev · Hyun Jae Kang	N/A	Code
CIMI4D: A Large Multimodal Climbing Motion Dataset Under Human-Scene Interactions	Ming Yan · Xin Wang · Yudi Dai · Siqi Shen · Chenglu Wen · Lan Xu · Yuexin Ma · Cheng Wang	N/A	Code
SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments	Yudi Dai · Yitai Lin · Xiping Lin · Chenglu Wen · Lan Xu · Hongwei Yi · Siqi Shen · Yuexin Ma · Cheng Wang	N/A	Code
Viewpoint Equivariance for Multi-View 3D Object Detection	Dian Chen · Jie Li · Vitor Guizilini · Rares Andrei Ambrus · Adrien Gaidon	N/A	Code
Balanced Product of Calibrated Experts for Long-Tailed Recognition	Emanuel Sanchez Aimar · Arvi Jonnarth · Michael Felsberg · Marco Kuhlmann	N/A	Code
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation	Mario Döbler · Robert A. Marsden · Bin Yang	N/A	Code
Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation	Sara Sarto · Manuele Barraco · Marcella Cornia · Lorenzo Baraldi · Rita Cucchiara	N/A	Code
BITE: Beyond Priors for Improved Three-D Dog Pose Estimation	Nadine Rüegg · Shashank Tripathi · Konrad Schindler · Michael J. Black · Silvia Zuffi	N/A	Code
SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction	Zhizhuo Zhou · Shubham Tulsiani	N/A	Code
PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation	Liwen Zhang · Xinyan Zhang · Youcheng Zhang · Yufei Guo · Yuanpei Chen · Xuhui Huang · Zhe Ma	N/A	Code
Masked Wavelet Representation for Compact Neural Radiance Fields	Daniel Rho · Byeonghyeon Lee · Seungtae Nam · Joo Chan Lee · Jong Hwan Ko · Eunbyung Park	N/A	Code
Guided Depth Super-Resolution by Deep Anisotropic Diffusion	Nando Metzger · Rodrigo Caye Daudt · Konrad Schindler	N/A	Code
Masked Images Are Counterfactual Samples for Robust Fine-Tuning	Yao Xiao · Ziyi Tang · Pengxu Wei · Cong Liu · Liang Lin	N/A	Code
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration	Guofeng Mei · Hao Tang · Xiaoshui Huang · Weijie Wang · Juan Liu · Jian Zhang · Luc Van Gool · Qiang Wu	N/A	Code
ECON: Explicit Clothed Humans Optimized via Normal Integration	Yuliang Xiu · Jinlong Yang · Xu Cao · Dimitrios Tzionas · Michael J. Black	N/A	Code
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection	Xixi Liu · Yaroslava Lochman · Christopher Zach	N/A	Code
OCTET: Object-Aware Counterfactual Explanations	Mehdi Zemni · Mickaël Chen · Éloi Zablocki · Hédi Ben-Younes · Patrick Pérez · Matthieu Cord	N/A	Code
Consistent View Synthesis With Pose-Guided Diffusion Models	Hung-Yu Tseng · Qinbo Li · Changil Kim · Suhib Alsisan · Jia-Bin Huang · Johannes Kopf	N/A	Code
GFPose: Learning 3D Human Pose Prior With Gradient Fields	Hai Ci · Mingdong Wu · Wentao Zhu · Xiaoxuan Ma · Hao Dong · Fangwei Zhong · Yizhou Wang	N/A	Code
Bayesian Posterior Approximation With Stochastic Ensembles	Oleksandr Balabanov · Bernhard Mehlig · Hampus Linander	N/A	Code
Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image	Donggun Kim · Hyeonjoong Jang · Inchul Kim · Min H. Kim	N/A	Code
Octree Guided Unoriented Surface Reconstruction	Chamin Hewa Koneputugodage · Yizhak Ben-Shabat · Stephen Gould	N/A	Code
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning	Chia-Wen Kuo · Zsolt Kira	N/A	Code
SUDS: Scalable Urban Dynamic Scenes	Haithem Turki · Jason Y. Zhang · Francesco Ferroni · Deva Ramanan	N/A	Code
Harmonious Feature Learning for Interactive Hand-Object Pose Estimation	Zhifeng Lin · Changxing Ding · Huan Yao · Zengsheng Kuang · Shaoli Huang	N/A	Code
Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer	Agus Gunawan · Soo Ye Kim · Hyeonjun Sim · Jae-Ho Lee · Munchurl Kim	N/A	Code
Trainable Projected Gradient Method for Robust Fine-Tuning	Junjiao Tian · Zecheng He · Xiaoliang Dai · Chih-Yao Ma · Yen-Cheng Liu · Zsolt Kira	N/A	Code
OReX: Object Reconstruction From Planar Cross-Sections Using Neural Fields	Haim Sawdayee · Amir Vaxman · Amit H. Bermano	N/A	Code
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects	Nick Heppert · Zubair Irshad · Sergey Zakharov · Katherine Liu · Rares Andrei Ambrus · Jeannette Bohg · Abhinav Valada · Thomas Kollar	N/A	Code
ACR: Attention Collaboration-Based Regressor for Arbitrary Two-Hand Reconstruction	Zhengdi Yu · Shaoli Huang · Chen Fang · Toby P. Breckon · Jue Wang	N/A	Code
Perception and Semantic Aware Regularization for Sequential Confidence Calibration	Zhenghua Peng · Yu Luo · Tianshui Chen · Keke Xu · Shuangping Huang	N/A	Code
Crowd3D: Towards Hundreds of People Reconstruction From a Single Image	Hao Wen · Jing Huang · Huili Cui · Haozhe Lin · Yu-Kun Lai · Lu Fang · Kun Li	N/A	Code
ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation	Ziqin Zhou · Yinjie Lei · Bowen Zhang · Lingqiao Liu · Yifan Liu	N/A	Code
Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing	Xiaokun Sun · Qiao Feng · Xiongzheng Li · Jinsong Zhang · Yu-Kun Lai · Jingyu Yang · Kun Li	N/A	Code
Skinned Motion Retargeting With Residual Perception of Motion Semantics & Geometry	Jiaxu Zhang · Junwu Weng · Di Kang · Fang Zhao · Shaoli Huang · Xuefei Zhe · Linchao Bao · Ying Shan · Jue Wang · Zhigang Tu	N/A	Code
Unknown Sniffer for Object Detection: Don’t Turn a Blind Eye to Unknown Objects	Wenteng Liang · Feng Xue · Yihao Liu · Guofeng Zhong · Anlong Ming	N/A	Code
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving	Angelika Ando · Spyros Gidaris · Andrei Bursuc · Gilles Puy · Alexandre Boulch · Renaud Marlet	N/A	Code
3D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data	Libing Zeng · Lele Chen · Wentao Bao · Zhong Li · Yi Xu · Junsong Yuan · Nima Khademi Kalantari	N/A	Code
Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data	Paul Hager · Martin J. Menten · Daniel Rueckert	N/A	Code
JRDB-Pose: A Large-Scale Dataset for Multi-Person Pose Estimation and Tracking	Edward Vendrow · Tho Le · Jianfei Cai · Hamid Rezatofighi	N/A	Code
Consistent Direct Time-of-Flight Video Depth Super-Resolution	Zhanghao Sun · Wei Ye · Jinhui Xiong · Gyeongmin Choe · Jialiang Wang · Shuochen Su · Rakesh Ranjan	N/A	Code
Correlational Image Modeling for Self-Supervised Visual Pre-Training	Wei Li · Jiahao Xie · Chen Change Loy	N/A	Code
CelebV-Text: A Large-Scale Facial Text-Video Dataset	Jianhui Yu · Hao Zhu · Liming Jiang · Chen Change Loy · Weidong Cai · Wayne Wu	N/A	Code
Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning	Wei Ji · Renjie Liang · Zhedong Zheng · Wenqiao Zhang · Shengyu Zhang · Juncheng Li · Mengze Li · Tat-seng Chua	N/A	Code
Learning 3D Scene Priors With 2D Supervision	Yinyu Nie · Angela Dai · Xiaoguang Han · Matthias Nießner	N/A	Code
Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera	Ruicheng Feng · Chongyi Li · Huaijin Chen · Shuai Li · Jinwei Gu · Chen Change Loy	N/A	Code
Siamese DETR	Zeren Chen · Gengshi Huang · Wei Li · Jianing Teng · Kun Wang · Jing Shao · Chen Change Loy · Lu Sheng	N/A	Code
Panoptic Video Scene Graph Generation	Jingkang Yang · Wenxuan Peng · Xiangtai Li · Zujin Guo · Liangyu Chen · Bo Li · Zheng Ma · Kaiyang Zhou · Wayne Zhang · Chen Change Loy · Ziwei Liu	N/A	Code
Randomized Adversarial Training via Taylor Expansion	Gaojie Jin · Xinping Yi · Dengyu Wu · Ronghui Mu · Xiaowei Huang	N/A	Code
Task Residual for Tuning Vision-Language Models	Tao Yu · Zhihe Lu · Xin Jin · Zhibo Chen · Xinchao Wang	N/A	Code
PACO: Parts and Attributes of Common Objects	Vignesh Ramanathan · Anmol Kalia · Vladan Petrovic · Yi Wen · Baixue Zheng · Baishan Guo · Rui Wang · Aaron Marquez · Rama Kovvuri · Abhishek Kadian · Amir Mousavi · Yiwen Song · Abhimanyu Dubey · Dhruv Mahajan	N/A	Code
CloSET: Modeling Clothed Humans on Continuous Surface With Explicit Template Decomposition	Hongwen Zhang · Siyou Lin · Ruizhi Shao · Yuxiang Zhang · Zerong Zheng · Han Huang · Yandong Guo · Yebin Liu	N/A	Code
Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement	Hao Zhu · Piotr Koniusz	N/A	Code
DualVector: Unsupervised Vector Font Synthesis With Dual-Part Representation	Ying-Tian Liu · Zhifei Zhang · Yuan-Chen Guo · Matthew Fisher · Zhaowen Wang · Song-Hai Zhang	N/A	Code
Invertible Neural Skinning	Yash Kant · Aliaksandr Siarohin · Riza Alp Guler · Menglei Chai · Jian Ren · Sergey Tulyakov · Igor Gilitschenski	N/A	Code
Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars	Jingxiang Sun · Xuan Wang · Lizhen Wang · Xiaoyu Li · Yong Zhang · Hongwen Zhang · Yebin Liu	N/A	Code
Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding	Morris Alper · Michael Fiman · Hadar Averbuch-Elor	N/A	Code
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning	James Seale Smith · Paola Cascante-Bonilla · Assaf Arbelle · Donghyun Kim · Rameswar Panda · David Cox · Diyi Yang · Zsolt Kira · Rogerio Feris · Leonid Karlinsky	N/A	Code
LINe: Out-of-Distribution Detection by Leveraging Important Neurons	Yong Hyun Ahn · Gyeong-Moon Park · Seong Tae Kim	N/A	Code
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models	Zhiqiu Lin · Samuel Yu · Zhiyi Kuang · Deepak Pathak · Deva Ramanan	N/A	Code
Panoptic Lifting for 3D Scene Understanding With Neural Fields	Yawar Siddiqui · Lorenzo Porzi · Samuel Rota Bulò · Norman Müller · Matthias Nießner · Angela Dai · Peter Kontschieder	N/A	Code
GamutMLP: A Lightweight MLP for Color Loss Recovery	Hoang M. Le · Brian Price · Scott Cohen · Michael S. Brown	N/A	Code
DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction	Dae-Young Song · HeeKyung Lee · Jeongil Seo · Donghyeon Cho	N/A	Code
NLOST: Non-Line-of-Sight Imaging With Transformer	Yue Li · Jiayong Peng · Juntian Ye · Yueyi Zhang · Feihu Xu · Zhiwei Xiong	N/A	Code
SeaThru-NeRF: Neural Radiance Fields in Scattering Media	Deborah Levy · Amit Peleg · Naama Pearl · Dan Rosenbaum · Derya Akkaynak · Simon Korman · Tali Treibitz	N/A	Code
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild	Garrick Brazil · Abhinav Kumar · Julian Straub · Nikhila Ravi · Justin Johnson · Georgia Gkioxari	N/A	Code
Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection	Chuangchuang Tan · Yao Zhao · Shikui Wei · Guanghua Gu · Yunchao Wei	N/A	Code
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation	Naoto Inoue · Kotaro Kikuchi · Edgar Simo-Serra · Mayu Otani · Kota Yamaguchi	N/A	Code
Learning Customized Visual Models With Retrieval-Augmented Knowledge	Haotian Liu · Kilho Son · Jianwei Yang · Ce Liu · Jianfeng Gao · Yong Jae Lee · Chunyuan Li	N/A	Code
MAIR: Multi-View Attention Inverse Rendering With 3D Spatially-Varying Lighting Estimation	JunYong Choi · SeokYeong Lee · Haesol Park · Seung-Won Jung · Ig-Jae Kim · Junghyun Cho	N/A	Code
Generalizing Dataset Distillation via Deep Generative Prior	George Cazenavette · Tongzhou Wang · Antonio Torralba · Alexei A. Efros · Jun-Yan Zhu	N/A	Code
Polarized Color Image Denoising	Zhuoxiao Li · Haiyang Jiang · Mingdeng Cao · Yinqiang Zheng	N/A	Code
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation	Haochen Wang · Xiaodan Du · Jiahao Li · Raymond A. Yeh · Greg Shakhnarovich	N/A	Code
FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs	Luke Rowe · Martin Ethier · Eli-Henry Dykhne · Krzysztof Czarnecki	N/A	Code
Mask-Free Video Instance Segmentation	Lei Ke · Martin Danelljan · Henghui Ding · Yu-Wing Tai · Chi-Keung Tang · Fisher Yu	N/A	Code
OVTrack: Open-Vocabulary Multiple Object Tracking	Siyuan Li · Tobias Fischer · Lei Ke · Henghui Ding · Martin Danelljan · Fisher Yu	N/A	Code
LightPainter: Interactive Portrait Relighting With Freehand Scribble	Yiqun Mei · He Zhang · Xuaner Zhang · Jianming Zhang · Zhixin Shu · Yilin Wang · Zijun Wei · Shi Yan · HyunJoon Jung · Vishal M. Patel	N/A	Code
Towards Scalable Neural Representation for Diverse Videos	Bo He · Xitong Yang · Hanyu Wang · Zuxuan Wu · Hao Chen · Shuaiyi Huang · Yixuan Ren · Ser-Nam Lim · Abhinav Shrivastava	N/A	Code
Teaching Matters: Investigating the Role of Supervision in Vision Transformers	Matthew Walmer · Saksham Suri · Kamal Gupta · Abhinav Shrivastava	N/A	Code
FlexNeRF: Photorealistic Free-Viewpoint Rendering of Moving Humans From Sparse Views	Vinoj Jayasundara · Amit Agrawal · Nicolas Heron · Abhinav Shrivastava · Larry S. Davis	N/A	Code
Leveraging Temporal Context in Low Representational Power Regimes	Camilo L. Fosco · SouYoung Jin · Emilie Josephs · Aude Oliva	N/A	Code
Painting 3D Nature in 2D: View Synthesis of Natural Scenes From a Single Semantic Mask	Shangzhan Zhang · Sida Peng · Tianrun Chen · Linzhan Mou · Haotong Lin · Kaicheng Yu · Yiyi Liao · Xiaowei Zhou	N/A	Code
Align and Attend: Multimodal Summarization With Dual Contrastive Losses	Bo He · Jun Wang · Jielin Qiu · Trung Bui · Abhinav Shrivastava · Zhaowen Wang	N/A	Code
SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network	Chuong Huynh · Yuqian Zhou · Zhe Lin · Connelly Barnes · Eli Shechtman · Sohrab Amirghodsi · Abhinav Shrivastava	N/A	Code
NIRVANA: Neural Implicit Representations of Videos With Adaptive Networks and Autoregressive Patch-Wise Modeling	Shishira R Maiya · Sharath Girish · Max Ehrlich · Hanyu Wang · Kwot Sin Lee · Patrick Poirson · Pengxiang Wu · Chen Wang · Abhinav Shrivastava	N/A	Code
Seeing Beyond the Brain: Conditional Diffusion Model With Sparse Masked Modeling for Vision Decoding	Zijiao Chen · Jiaxin Qing · Tiange Xiang · Wan Lin Yue · Juan Helen Zhou	N/A	Code
Position-Guided Text Prompt for Vision-Language Pre-Training	Jinpeng Wang · Pan Zhou · Mike Zheng Shou · Shuicheng Yan	N/A	Code
Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion Estimation	Xueyan Huang · Yueyi Zhang · Zhiwei Xiong	N/A	Code
MIST: Multi-Modal Iterative Spatial-Temporal Transformer for Long-Form Video Question Answering	Difei Gao · Luowei Zhou · Lei Ji · Linchao Zhu · Yi Yang · Mike Zheng Shou	N/A	Code
Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning	Tsai Hor Chan · Fernando Julio Cendra · Lan Ma · Guosheng Yin · Lequan Yu	N/A	Code
Making Vision Transformers Efficient From a Token Sparsification View	Shuning Chang · Pichao Wang · Ming Lin · Fan Wang · David Junhao Zhang · Rong Jin · Mike Zheng Shou	N/A	Code
Leverage Interactive Affinity for Affordance Learning	Hongchen Luo · Wei Zhai · Jing Zhang · Yang Cao · Dacheng Tao	N/A	Code
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection	Fan Lu · Kai Zhu · Wei Zhai · Kecheng Zheng · Yang Cao	N/A	Code
HARP: Personalized Hand Reconstruction From a Monocular RGB Video	Korrawe Karunratanakul · Sergey Prokudin · Otmar Hilliges · Siyu Tang	N/A	Code
Towards Effective Visual Representations for Partial-Label Learning	Shiyu Xia · Jiaqi Lv · Ning Xu · Gang Niu · Xin Geng	N/A	Code
SFD2: Semantic-Guided Feature Detection and Description	Fei Xue · Ignas Budvytis · Roberto Cipolla	N/A	Code
MetaPortrait: Identity-Preserving Talking Head Generation With Fast Personalized Adaptation	Bowen Zhang · Chenyang Qi · Pan Zhang · Bo Zhang · HsiangTao Wu · Dong Chen · Qifeng Chen · Yong Wang · Fang Wen	N/A	Code
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training	Gi-Cheon Kang · Sungdong Kim · Jin-Hwa Kim · Donghyun Kwak · Byoung-Tak Zhang	N/A	Code
Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields	Sungheon Park · Minjung Son · Seokhwan Jang · Young Chun Ahn · Ji-Yeon Kim · Nahyup Kang	N/A	Code
DiGA: Distil To Generalize and Then Adapt for Domain Adaptive Semantic Segmentation	Fengyi Shen · Akhil Gurram · Ziyuan Liu · He Wang · Alois Knoll	N/A	Code
Multimodal Prompting With Missing Modalities for Visual Recognition	Yi-Lun Lee · Yi-Hsuan Tsai · Wei-Chen Chiu · Chen-Yu Lee	N/A	Code
On Calibrating Semantic Segmentation Models: Analyses and an Algorithm	Dongdong Wang · Boqing Gong · Liqiang Wang	N/A	Code
IMP: Iterative Matching and Pose Estimation With Adaptive Pooling	Fei Xue · Ignas Budvytis · Roberto Cipolla	N/A	Code
Grid-Guided Neural Radiance Fields for Large Urban Scenes	Linning Xu · Yuanbo Xiangli · Sida Peng · Xingang Pan · Nanxuan Zhao · Christian Theobalt · Bo Dai · Dahua Lin	N/A	Code
Neural Voting Field for Camera-Space 3D Hand Pose Estimation	Lin Huang · Chung-Ching Lin · Kevin Lin · Lin Liang · Lijuan Wang · Junsong Yuan · Zicheng Liu	N/A	Code
Dense Network Expansion for Class Incremental Learning	Zhiyuan Hu · Yunsheng Li · Jiancheng Lyu · Dashan Gao · Nuno Vasconcelos	N/A	Code
FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre-Training	Yunpeng Han · Lisai Zhang · Qingcai Chen · Zhijian Chen · Zhonghua Li · Jianxin Yang · Zhao Cao	N/A	Code
Batch Model Consolidation: A Multi-Task Model Consolidation Framework	Iordanis Fostiropoulos · Jiaye Zhu · Laurent Itti	N/A	Code
Open-Vocabulary Attribute Detection	María A. Bravo · Sudhanshu Mittal · Simon Ging · Thomas Brox	N/A	Code
Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models	Nithin Gopalakrishnan Nair · Wele Gedara Chaminda Bandara · Vishal M. Patel	N/A	Code
BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection	Lei Yang · Kaicheng Yu · Tao Tang · Jun Li · Kun Yuan · Li Wang · Xinyu Zhang · Peng Chen	N/A	Code
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization	Chen Zhao · Shuming Liu · Karttikeya Mangalam · Bernard Ghanem	N/A	Code
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation	Nazmul Karim · Niluthpol Chowdhury Mithun · Abhinav Rajvanshi · Han-pang Chiu · Supun Samarasekera · Nazanin Rahnavard	N/A	Code
Are Deep Neural Networks SMARTer Than Second Graders?	Anoop Cherian · Kuan-Chuan Peng · Suhas Lohit · Kevin A. Smith · Joshua B. Tenenbaum	N/A	Code
Persistent Nature: A Generative Model of Unbounded 3D Worlds	Lucy Chai · Richard Tucker · Zhengqi Li · Phillip Isola · Noah Snavely	N/A	Code
InternImage: Exploring Large-Scale Vision Foundation Models With Deformable Convolutions	Wenhai Wang · Jifeng Dai · Zhe Chen · Zhenhang Huang · Zhiqi Li · Xizhou Zhu · Xiaowei Hu · Tong Lu · Lewei Lu · Hongsheng Li · Xiaogang Wang · Yu Qiao	N/A	Code
Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes	Rui Li · Dong Gong · Wei Yin · Hao Chen · Yu Zhu · Kaixuan Wang · Xiaozhi Chen · Jinqiu Sun · Yanning Zhang	N/A	Code
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets	Mingu Kang · Heon Song · Seonwook Park · Donggeun Yoo · Sérgio Pereira	N/A	Code
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions	Shuxuan Guo · Yinlin Hu · Jose M. Alvarez · Mathieu Salzmann	N/A	Code
Self-Supervised Representation Learning for CAD	Benjamin T. Jones · Michael Hu · Milin Kodnongbua · Vladimir G. Kim · Adriana Schulz	N/A	Code
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer	Xuanyao Chen · Zhijian Liu · Haotian Tang · Li Yi · Hang Zhao · Song Han	N/A	Code
Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views	Aayush Bansal · Michael Zollhöfer	N/A	Code
ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries	Junru Gu · Chenxu Hu · Tianyuan Zhang · Xuanyao Chen · Yilun Wang · Yue Wang · Hang Zhao	N/A	Code
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders	Wele Gedara Chaminda Bandara · Naman Patel · Ali Gholami · Mehdi Nikkhah · Motilal Agrawal · Vishal M. Patel	N/A	Code
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning	Xiaoyang Wu · Xin Wen · Xihui Liu · Hengshuang Zhao	N/A	Code
RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer	Jiahao Wang · Songyang Zhang · Yong Liu · Taiqiang Wu · Yujiu Yang · Xihui Liu · Kai Chen · Ping Luo · Dahua Lin	N/A	Code
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation	Devavrat Tomar · Guillaume Vray · Behzad Bozorgtabar · Jean-Philippe Thiran	N/A	Code
ObjectMatch: Robust Registration Using Canonical Object Correspondences	Can Gümeli · Angela Dai · Matthias Nießner	N/A	Code
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models	Jiale Xu · Xintao Wang · Weihao Cheng · Yan-Pei Cao · Ying Shan · Xiaohu Qie · Shenghua Gao	N/A	Code
SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes	Yiming Gao · Yan-Pei Cao · Ying Shan	N/A	Code
Object Detection With Self-Supervised Scene Adaptation	Zekun Zhang · Minh Hoai	N/A	Code
Megahertz Light Steering Without Moving Parts	Adithya Pediredla · Srinivasa G. Narasimhan · Maysamreza Chamanzar · Ioannis Gkioulekas	N/A	Code
ISBNet: A 3D Point Cloud Instance Segmentation Network With Instance-Aware Sampling and Box-Aware Dynamic Convolution	Tuan Duc Ngo · Binh-Son Hua · Khoi Nguyen	N/A	Code
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks	Tong Bu · Jianhao Ding · Zecheng Hao · Zhaofei Yu	N/A	Code
PIVOT: Prompting for Video Continual Learning	Andrés Villa · Juan León Alcázar · Motasem Alfarra · Kumail Alhamoud · Julio Hurtado · Fabian Caba Heilbron · Alvaro Soto · Bernard Ghanem	N/A	Code
ARO-Net: Learning Implicit Fields From Anchored Radial Observations	Yizhi Wang · Zeyu Huang · Ariel Shamir · Hui Huang · Hao Zhang · Ruizhen Hu	N/A	Code
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems	Hyungjin Chung · Jeongsol Kim · Sehui Kim · Jong Chul Ye	N/A	Code
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models	Hyungjin Chung · Dohoon Ryu · Michael T. McCann · Marc L. Klasky · Jong Chul Ye	N/A	Code
Affordance Grounding From Demonstration Video To Target Image	Joya Chen · Difei Gao · Kevin Qinghong Lin · Mike Zheng Shou	N/A	Code
Learning Procedure-Aware Video Representation From Instructional Videos and Their Narrations	Yiwu Zhong · Licheng Yu · Yang Bai · Shangwen Li · Xueting Yan · Yin Li	N/A	Code
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors	Chien-Yao Wang · Alexey Bochkovskiy · Hong-Yuan Mark Liao	N/A	Code
OmniCity: Omnipotent City Understanding With Multi-Level and Multi-View Images	Weijia Li · Yawen Lai · Linning Xu · Yuanbo Xiangli · Jinhua Yu · Conghui He · Gui-Song Xia · Dahua Lin	N/A	Code
Object Discovery From Motion-Guided Tokens	Zhipeng Bao · Pavel Tokmakov · Yu-Xiong Wang · Adrien Gaidon · Martial Hebert	N/A	Code
MP-Former: Mask-Piloted Transformer for Image Segmentation	Hao Zhang · Feng Li · Huaizhe Xu · Shijia Huang · Shilong Liu · Lionel M. Ni · Lei Zhang	N/A	Code
Disentangling Writer and Character Styles for Handwriting Generation	Gang Dai · Yifan Zhang · Qingfeng Wang · Qing Du · Zhuliang Yu · Zhuoman Liu · Shuangping Huang	N/A	Code
Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds	Shaowei Liu · Saurabh Gupta · Shenlong Wang	N/A	Code
Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues	Stefanie Walz · Mario Bijelic · Andrea Ramazzina · Amanpreet Walia · Fahim Mannan · Felix Heide	N/A	Code
Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation	Wei Wang · Zhun Zhong · Weijie Wang · Xi Chen · Charles Ling · Boyu Wang · Nicu Sebe	N/A	Code
Perspective Fields for Single Image Camera Calibration	Linyi Jin · Jianming Zhang · Yannick Hold-Geoffroy · Oliver Wang · Kevin Blackburn-Matzen · Matthew Sticha · David F. Fouhey	N/A	Code
Vision Transformers Are Parameter-Efficient Audio-Visual Learners	Yan-Bo Lin · Yi-Lin Sung · Jie Lei · Mohit Bansal · Gedas Bertasius	N/A	Code
Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos	Yubin Hu · Yuze He · Yanghao Li · Jisheng Li · Yuxing Han · Jiangtao Wen · Yong-Jin Liu	N/A	Code
DisWOT: Student Architecture Search for Distillation WithOut Training	Peijie Dong · Lujun Li · Zimian Wei	N/A	Code
Activating More Pixels in Image Super-Resolution Transformer	Xiangyu Chen · Xintao Wang · Jiantao Zhou · Yu Qiao · Chao Dong	N/A	Code
You Only Segment Once: Towards Real-Time Panoptic Segmentation	Jie Hu · Linyan Huang · Tianhe Ren · Shengchuan Zhang · Rongrong Ji · Liujuan Cao	N/A	Code
PA&DA: Jointly Sampling Path and Data for Consistent NAS	Shun Lu · Yu Hu · Longxing Yang · Zihao Sun · Jilin Mei · Jianchao Tan · Chengru Song	N/A	Code
NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies	Xiaoxiao Long · Cheng Lin · Lingjie Liu · Yuan Liu · Peng Wang · Christian Theobalt · Taku Komura · Wenping Wang	N/A	Code
Towards Universal Fake Image Detectors That Generalize Across Generative Models	Utkarsh Ojha · Yuheng Li · Yong Jae Lee	N/A	Code
FLAG3D: A 3D Fitness Activity Dataset With Language Instruction	Yansong Tang · Jinpeng Liu · Aoyang Liu · Bin Yang · Wenxun Dai · Yongming Rao · Jiwen Lu · Jie Zhou · Xiu Li	N/A	Code
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction From Multi-View Images	Yunfan Ye · Renjiao Yi · Zhirui Gao · Chenyang Zhu · Zhiping Cai · Kai Xu	N/A	Code
Executing Your Commands via Motion Diffusion in Latent Space	Xin Chen · Biao Jiang · Wen Liu · Zilong Huang · Bin Fu · Tao Chen · Gang Yu	N/A	Code
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID	Jianyang Gu · Kai Wang · Hao Luo · Chen Chen · Wei Jiang · Yuqiang Fang · Shanghang Zhang · Yang You · Jian Zhao	N/A	Code
SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage	Yifan Wang · Aleksander Holynski · Xiuming Zhang · Xuaner Zhang	N/A	Code
IS-GGT: Iterative Scene Graph Generation With Generative Transformers	Sanjoy Kundu · Sathyanarayanan N. Aakur	N/A	Code
DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-Aware Scene Synthesis	Yinghao Xu · Menglei Chai · Zifan Shi · Sida Peng · Ivan Skorokhodov · Aliaksandr Siarohin · Ceyuan Yang · Yujun Shen · Hsin-Ying Lee · Bolei Zhou · Sergey Tulyakov	N/A	Code
Breaking the “Object” in Video Object Segmentation	Pavel Tokmakov · Jie Li · Adrien Gaidon	N/A	Code
SimpleNet: A Simple Network for Image Anomaly Detection and Localization	Zhikang Liu · Yiming Zhou · Yuansheng Xu · Zilei Wang	N/A	Code
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation	Lingting Zhu · Xian Liu · Xuanyu Liu · Rui Qian · Ziwei Liu · Lequan Yu	N/A	Code
Top-Down Visual Attention From Analysis by Synthesis	Baifeng Shi · Trevor Darrell · Xin Wang	N/A	Code
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation With Cross-Scale Distortion Awareness	Zhijie Shen · Zishuo Zheng · Chunyu Lin · Lang Nie · Kang Liao · Shuai Zheng · Yao Zhao	N/A	Code
Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation	Xiaolong Shen · Zongxin Yang · Xiaohan Wang · Jianxin Ma · Chang Zhou · Yi Yang	N/A	Code
RaBit: Parametric Modeling of 3D Biped Cartoon Characters With a Topological-Consistent Dataset	Zhongjin Luo · Shengcai Cai · Jinguo Dong · Ruibo Ming · Liangdong Qiu · Xiaohang Zhan · Xiaoguang Han	N/A	Code
Masked Image Modeling With Local Multi-Scale Reconstruction	Haoqing Wang · Yehui Tang · Yunhe Wang · Jianyuan Guo · Zhi-Hong Deng · Kai Han	N/A	Code
Omni Aggregation Networks for Lightweight Image Super-Resolution	Hang Wang · Xuanhong Chen · Bingbing Ni · Yutian Liu · Jinfan Liu	N/A	Code
TryOnDiffusion: A Tale of Two UNets	Luyang Zhu · Dawei Yang · Tyler Zhu · Fitsum Reda · William Chan · Chitwan Saharia · Mohammad Norouzi · Ira Kemelmacher-Shlizerman	N/A	Code
MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition	Xiang Wang · Shiwei Zhang · Zhiwu Qing · Changxin Gao · Yingya Zhang · Deli Zhao · Nong Sang	N/A	Code
Dynamic Aggregated Network for Gait Recognition	Kang Ma · Ying Fu · Dezhi Zheng · Chunshui Cao · Xuecai Hu · Yongzhen Huang	N/A	Code
Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution	Jiahao Chao · Zhou Zhou · Hongfan Gao · Jiali Gong · Zhengfeng Yang · Zhenbing Zeng · Lydia Dehbi	N/A	Code
Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination	Zimeng Zhao · Binghui Zuo · Zhiyu Long · Yangang Wang	N/A	Code
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields	Yu Chen · Gim Hee Lee	N/A	Code
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit	Xiaohang Wang · Xuanhong Chen · Bingbing Ni · Hang Wang · Zhengyan Tong · Yutian Liu	N/A	Code
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections	Jiaxiong Qiu · Peng-Tao Jiang · Yifan Zhu · Ze-Xin Yin · Ming-Ming Cheng · Bo Ren	N/A	Code
The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction	Alexandros Stergiou · Dima Damen	N/A	Code
Use Your Head: Improving Long-Tail Video Recognition	Toby Perrett · Saptarshi Sinha · Tilo Burghardt · Majid Mirmehdi · Dima Damen	N/A	Code
Large-Scale Training Data Search for Object Re-Identification	Yue Yao · Tom Gedeon · Liang Zheng	N/A	Code
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction	Guangyi Chen · Zhenhao Chen · Shunxing Fan · Kun Zhang	N/A	Code
Seeing a Rose in Five Thousand Ways	Yunzhi Zhang · Shangzhe Wu · Noah Snavely · Jiajun Wu	N/A	Code
EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points	Chengwei Zheng · Wenbin Lin · Feng Xu	N/A	Code
Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior	Xiaole Tang · Xile Zhao · Jun Liu · Jianli Wang · Yuchun Miao · Tieyong Zeng	N/A	Code
Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation	Shuting He · Henghui Ding · Wei Jiang	N/A	Code
Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation	Yan Jin · Mengke Li · Yang Lu · Yiu-ming Cheung · Hanzi Wang	N/A	Code
Neuron Structure Modeling for Generalizable Remote Physiological Measurement	Hao Lu · Zitong Yu · Xuesong Niu · Ying-Cong Chen	N/A	Code
Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains	Simon Reiß · Constantin Seibold · Alexander Freytag · Erik Rodner · Rainer Stiefelhagen	N/A	Code
Learning a Sparse Transformer Network for Effective Image Deraining	Xiang Chen · Hao Li · Mingqiang Li · Jinshan Pan	N/A	Code
Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction	Chunming He · Kai Li · Yachao Zhang · Longxiang Tang · Yulun Zhang · Zhenhua Guo · Xiu Li	N/A	Code
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding	Gen Li · Varun Jampani · Deqing Sun · Laura Sevilla-Lara	N/A	Code
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation	Nataniel Ruiz · Yuanzhen Li · Varun Jampani · Yael Pritch · Michael Rubinstein · Kfir Aberman	N/A	Code
GeneCIS: A Benchmark for General Conditional Image Similarity	Sagar Vaze · Nicolas Carion · Ishan Misra	N/A	Code
Neighborhood Attention Transformer	Ali Hassani · Steven Walton · Jiachen Li · Shen Li · Humphrey Shi	N/A	Code
3D-Aware Conditional Image Synthesis	Kangle Deng · Gengshan Yang · Deva Ramanan · Jun-Yan Zhu	N/A	Code
Magic3D: High-Resolution Text-to-3D Content Creation	Chen-Hsuan Lin · Jun Gao · Luming Tang · Towaki Takikawa · Xiaohui Zeng · Xun Huang · Karsten Kreis · Sanja Fidler · Ming-Yu Liu · Tsung-Yi Lin	N/A	Code
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity	Siyu Huang · Jie An · Donglai Wei · Jiebo Luo · Hanspeter Pfister	N/A	Code
SceneComposer: Any-Level Semantic Image Synthesis	Yu Zeng · Zhe Lin · Jianming Zhang · Qing Liu · John Collomosse · Jason Kuen · Vishal M. Patel	N/A	Code
Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style	Haoming Lu · Hazarapet Tunanyan · Kai Wang · Shant Navasardyan · Zhangyang Wang · Humphrey Shi	N/A	Code
In-Hand 3D Object Scanning From an RGB Sequence	Shreyas Hampali · Tomas Hodan · Luan Tran · Lingni Ma · Cem Keskin · Vincent Lepetit	N/A	Code
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds	Qing Li · Huifang Feng · Kanle Shi · Yue Gao · Yi Fang · Yu-Shen Liu · Zhizhong Han	N/A	Code
Advancing Visual Grounding With Scene Knowledge: Benchmark and Method	Zhihong Chen · Ruifei Zhang · Yibing Song · Xiang Wan · Guanbin Li	N/A	Code
Putting People in Their Place: Affordance-Aware Human Insertion Into Scenes	Sumith Kulal · Tim Brooks · Alex Aiken · Jiajun Wu · Jimei Yang · Jingwan Lu · Alexei A. Efros · Krishna Kumar Singh	N/A	Code
Identity-Preserving Talking Face Generation With Landmark and Appearance Priors	Weizhi Zhong · Chaowei Fang · Yinqi Cai · Pengxu Wei · Gangming Zhao · Liang Lin · Guanbin Li	N/A	Code
Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation	Li Li · Hubert P. H. Shum · Toby P. Breckon	N/A	Code
FAC: 3D Representation Learning via Foreground Aware Feature Contrast	Kangcheng Liu · Aoran Xiao · Xiaoqin Zhang · Shijian Lu · Ling Shao	N/A	Code
InstMove: Instance Motion for Object-Centric Video Segmentation	Qihao Liu · Junfeng Wu · Yi Jiang · Xiang Bai · Alan L. Yuille · Song Bai	N/A	Code
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark	Xiaofeng Wang · Zheng Zhu · Yunpeng Zhang · Guan Huang · Yun Ye · Wenbo Xu · Ziwei Chen · Xingang Wang	N/A	Code
Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring	Zhenxuan Fang · Fangfang Wu · Weisheng Dong · Xin Li · Jinjian Wu · Guangming Shi	N/A	Code
Neural Kernel Surface Reconstruction	Jiahui Huang · Zan Gojcic · Matan Atzmon · Or Litany · Sanja Fidler · Francis Williams	N/A	Code
Binary Latent Diffusion	Ze Wang · Jiang Wang · Zicheng Liu · Qiang Qiu	N/A	Code
Learning To Dub Movies via Hierarchical Prosody Models	Gaoxiang Cong · Liang Li · Yuankai Qi · Zheng-Jun Zha · Qi Wu · Wenyu Wang · Bin Jiang · Ming-Hsuan Yang · Qingming Huang	N/A	Code
Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs	Pattaramanee Arsomngern · Sarana Nutanong · Supasorn Suwajanakorn	N/A	Code
FrustumFormer: Adaptive Instance-Aware Resampling for Multi-View 3D Detection	Yuqi Wang · Yuntao Chen · Zhaoxiang Zhang	N/A	Code
Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!	Zaid Khan · Vijay Kumar BG · Samuel Schulter · Xiang Yu · Yun Fu · Manmohan Chandraker	N/A	Code
StyleRes: Transforming the Residuals for Real Image Editing With StyleGAN	Hamza Pehlivan · Yusuf Dalva · Aysegul Dundar	N/A	Code
PVT-SSD: Single-Stage 3D Object Detector With Point-Voxel Transformer	Honghui Yang · Wenxiao Wang · Minghao Chen · Binbin Lin · Tong He · Hua Chen · Xiaofei He · Wanli Ouyang	N/A	Code
Boosting Verified Training for Robust Image Classifications via Abstraction	Zhaodi Zhang · Zhiyi Xue · Yang Chen · Si Liu · Yueling Zhang · Jing Liu · Min Zhang	N/A	Code
Interactive Segmentation As Gaussion Process Classification	Minghao Zhou · Hong Wang · Qian Zhao · Yuexiang Li · Yawen Huang · Deyu Meng · Yefeng Zheng	N/A	Code
OSRT: Omnidirectional Image Super-Resolution With Distortion-Aware Transformer	Fanghua Yu · Xintao Wang · Mingdeng Cao · Gen Li · Ying Shan · Chao Dong	N/A	Code
Accelerating Vision-Language Pretraining With Free Language Modeling	Teng Wang · Yixiao Ge · Feng Zheng · Ran Cheng · Ying Shan · Xiaohu Qie · Ping Luo	N/A	Code
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation	Hanzhi Chen · Fabian Manhardt · Nassir Navab · Benjamin Busam	N/A	Code
Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking	Yuanpeng Tu · Boshen Zhang · Yuxi Li · Liang Liu · Jian Li · Jiangning Zhang · Yabiao Wang · Chengjie Wang · Cai Rong Zhao	N/A	Code
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization	Zhihao Liang · Zhangjin Huang · Changxing Ding · Kui Jia	N/A	Code
Multi-Space Neural Radiance Fields	Ze-Xin Yin · Jiaxiong Qiu · Ming-Ming Cheng · Bo Ren	N/A	Code
MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection From Point Cloud Sequences	Chenhang He · Ruihuang Li · Yabin Zhang · Shuai Li · Lei Zhang	N/A	Code
DLBD: A Self-Supervised Direct-Learned Binary Descriptor	Bin Xiao · Yang Hu · Bo Liu · Xiuli Bi · Weisheng Li · Xinbo Gao	N/A	Code
Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries	Yuanwen Yue · Theodora Kontogianni · Konrad Schindler · Francis Engelmann	N/A	Code
PointAvatar: Deformable Point-Based Head Avatars From Videos	Yufeng Zheng · Wang Yifan · Gordon Wetzstein · Michael J. Black · Otmar Hilliges	N/A	Code
Diffusion-SDF: Text-To-Shape via Voxelized Diffusion	Muheng Li · Yueqi Duan · Jie Zhou · Jiwen Lu	N/A	Code
NeRF-RPN: A General Framework for Object Detection in NeRFs	Benran Hu · Junkai Huang · Yichen Liu · Yu-Wing Tai · Chi-Keung Tang	N/A	Code
CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset	Tian Gan · Qing Wang · Xingning Dong · Xiangyuan Ren · Liqiang Nie · Qingpei Guo	N/A	Code
Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition	Chen Guo · Tianjian Jiang · Xu Chen · Jie Song · Otmar Hilliges	N/A	Code
Neural Preset for Color Style Transfer	Zhanghan Ke · Yuhao Liu · Lei Zhu · Nanxuan Zhao · Rynson W.H. Lau	N/A	Code
GRES: Generalized Referring Expression Segmentation	Chang Liu · Henghui Ding · Xudong Jiang	N/A	Code
Tracking Through Containers and Occluders in the Wild	Basile Van Hoorick · Pavel Tokmakov · Simon Stent · Jie Li · Carl Vondrick	N/A	Code
DepGraph: Towards Any Structural Pruning	Gongfan Fang · Xinyin Ma · Mingli Song · Michael Bi Mi · Xinchao Wang	N/A	Code
Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation	Yunqing Zhao · Chao Du · Milad Abdollahzadeh · Tianyu Pang · Min Lin · Shuicheng Yan · Ngai-Man Cheung	N/A	Code
RGB No More: Minimally-Decoded JPEG Vision Transformers	Jeongsoo Park · Justin Johnson	N/A	Code
iQuery: Instruments As Queries for Audio-Visual Sound Separation	Jiaben Chen · Renrui Zhang · Dongze Lian · Jiaqi Yang · Ziyao Zeng · Jianbo Shi	N/A	Code
Towards Professional Level Crowd Annotation of Expert Domain Data	Pei Wang · Nuno Vasconcelos	N/A	Code
VideoTrack: Learning To Track Objects via Video Transformer	Fei Xie · Lei Chu · Jiahao Li · Yan Lu · Chao Ma	N/A	Code
SCoDA: Domain Adaptive Shape Completion for Real Scans	Yushuang Wu · Zizheng Yan · Ce Chen · Lai Wei · Xiao Li · Guanbin Li · Yihao Li · Shuguang Cui · Xiaoguang Han	N/A	Code
Enhanced Training of Query-Based Object Detection via Selective Query Recollection	Fangyi Chen · Han Zhang · Kai Hu · Yu-Kai Huang · Chenchen Zhu · Marios Savvides	N/A	Code
LaserMix for Semi-Supervised LiDAR Semantic Segmentation	Lingdong Kong · Jiawei Ren · Liang Pan · Ziwei Liu	N/A	Code
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales With Multi-Depth Seeds for 3D Object Detection	Yang Jiao · Zequn Jie · Shaoxiang Chen · Jingjing Chen · Lin Ma · Yu-Gang Jiang	N/A	Code
Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning	Zeyin Song · Yifan Zhao · Yujun Shi · Peixi Peng · Li Yuan · Yonghong Tian	N/A	Code
PLA: Language-Driven Open-Vocabulary 3D Scene Understanding	Runyu Ding · Jihan Yang · Chuhui Xue · Wenqing Zhang · Song Bai · Xiaojuan Qi	N/A	Code
Being Comes From Not-Being: Open-Vocabulary Text-to-Motion Generation With Wordless Training	Junfan Lin · Jianlong Chang · Lingbo Liu · Guanbin Li · Liang Lin · Qi Tian · Chang-Wen Chen	N/A	Code
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction	Xiaotao Hu · Zhewei Huang · Ailin Huang · Jun Xu · Shuchang Zhou	N/A	Code
Neural Dependencies Emerging From Learning Massive Categories	Ruili Feng · Kecheng Zheng · Kai Zhu · Yujun Shen · Jian Zhao · Yukun Huang · Deli Zhao · Jingren Zhou · Michael Jordan · Zheng-Jun Zha	N/A	Code
Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-Identification	Yukang Zhang · Hanzi Wang	N/A	Code
Neural Kaleidoscopic Space Sculpting	Byeongjoo Ahn · Michael De Zeeuw · Ioannis Gkioulekas · Aswin C. Sankaranarayanan	N/A	Code
PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow	Jiarui Lei · Xiaobo Hu · Yue Wang · Dong Liu	N/A	Code
Masked Motion Encoding for Self-Supervised Video Representation Learning	Xinyu Sun · Peihao Chen · Liangwei Chen · Changhao Li · Thomas H. Li · Mingkui Tan · Chuang Gan	N/A	Code
StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator	Jiazhi Guan · Zhanwang Zhang · Hang Zhou · Tianshu Hu · Kaisiyuan Wang · Dongliang He · Haocheng Feng · Jingtuo Liu · Errui Ding · Ziwei Liu · Jingdong Wang	N/A	Code
LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation	Song Wang · Wentong Li · Wenyu Liu · Xiaolu Liu · Jianke Zhu	N/A	Code
Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion	Changfeng Ma · Yinuo Chen · Pengxiao Guo · Jie Guo · Chongjun Wang · Yanwen Guo	N/A	Code
Boosting Detection in Crowd Analysis via Underutilized Output Features	Shaokai Wu · Fengyu Yang	N/A	Code
Representation Learning for Visual Object Tracking by Masked Appearance Transfer	Haojie Zhao · Dong Wang · Huchuan Lu	N/A	Code
NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360° Views	Dejia Xu · Yifan Jiang · Peihao Wang · Zhiwen Fan · Yi Wang · Zhangyang Wang	N/A	Code
DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation	Hao Jiang · Rushan Zhang · Yanning Zhou · Yumeng Wang · Hao Chen	N/A	Code
Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving	Xiaosong Jia · Penghao Wu · Li Chen · Jiangwei Xie · Conghui He · Junchi Yan · Hongyang Li	N/A	Code
Adversarial Counterfactual Visual Explanations	Guillaume Jeanneret · Loïc Simon · Frédéric Jurie	N/A	Code
ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization	Jintao Guo · Na Wang · Lei Qi · Yinghuan Shi	N/A	Code
ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision	Jingwang Ling · Zhibo Wang · Feng Xu	N/A	Code
Coaching a Teachable Student	Jimuyang Zhang · Zanming Huang · Eshed Ohn-Bar	N/A	Code
POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery	Ce Zheng · Xianpeng Liu · Guo-Jun Qi · Chen Chen	N/A	Code
Layout-Based Causal Inference for Object Navigation	Sixian Zhang · Xinhang Song · Weijie Li · Yubing Bai · Xinyao Yu · Shuqiang Jiang	N/A	Code
Towards Bridging the Performance Gaps of Joint Energy-Based Models	Xiulong Yang · Qing Su · Shihao Ji	N/A	Code
Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild	Gyeongsik Moon	N/A	Code
Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting	Xiaogang Peng · Siyuan Mao · Zizhao Wu	N/A	Code
Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization	Chen Ju · Kunhao Zheng · Jinxiang Liu · Peisen Zhao · Ya Zhang · Jianlong Chang · Qi Tian · Yanfeng Wang	N/A	Code
DiffPose: Toward More Reliable 3D Pose Estimation	Jia Gong · Lin Geng Foo · Zhipeng Fan · Qiuhong Ke · Hossein Rahmani · Jun Liu	N/A	Code
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection	Tiange Xiang · Yixiao Zhang · Yongyi Lu · Alan L. Yuille · Chaoyi Zhang · Weidong Cai · Zongwei Zhou	N/A	Code
On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer	Zhenjie Yu · Shuang Li · Yirui Shen · Chi Harold Liu · Shuigen Wang	N/A	Code
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input	Senmao Tian · Ming Lu · Jiaming Liu · Yandong Guo · Yurong Chen · Shunli Zhang	N/A	Code
NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects	Zhiwen Yan · Chen Li · Gim Hee Lee	N/A	Code
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo	Lukas Mehl · Jenny Schmalfuss · Azin Jahedi · Yaroslava Nalivayko · Andrés Bruhn	N/A	Code
Unifying Short and Long-Term Tracking With Graph Hierarchies	Orcun Cetintas · Guillem Brasó · Laura Leal-Taixé	N/A	Code
MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection	Liang Liu · Boshen Zhang · Jiangning Zhang · Wuhao Zhang · Zhenye Gan · Guanzhong Tian · Wenbing Zhu · Yabiao Wang · Chengjie Wang	N/A	Code
A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation From a Single RGB Image	Changlong Jiang · Yang Xiao · Cunlin Wu · Mingyang Zhang · Jinghong Zheng · Zhiguo Cao · Joey Tianyi Zhou	N/A	Code
Efficient Mask Correction for Click-Based Interactive Image Segmentation	Fei Du · Jianlong Yuan · Zhibin Wang · Fan Wang	N/A	Code
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation	Tong Wu · Jiarui Zhang · Xiao Fu · Yuxin Wang · Jiawei Ren · Liang Pan · Wayne Wu · Lei Yang · Jiaqi Wang · Chen Qian · Dahua Lin · Ziwei Liu	N/A	Code
LoGoNet: Towards Accurate 3D Object Detection With Local-to-Global Cross-Modal Fusion	Xin Li · Tao Ma · Yuenan Hou · Botian Shi · Yuchen Yang · Youquan Liu · Xingjiao Wu · Qin Chen · Yikang Li · Yu Qiao · Liang He	N/A	Code
3D Registration With Maximal Cliques	Xiyu Zhang · Jiaqi Yang · Shikun Zhang · Yanning Zhang	N/A	Code
Inferring and Leveraging Parts From Object Shape for Improving Semantic Image Synthesis	Yuxiang Wei · Zhilong Ji · Xiaohe Wu · Jinfeng Bai · Lei Zhang · Wangmeng Zuo	N/A	Code
Frame-Event Alignment and Fusion Network for High Frame Rate Tracking	Jiqing Zhang · Yuanchen Wang · Wenxi Liu · Meng Li · Jinpeng Bai · Baocai Yin · Xin Yang	N/A	Code
Human Guided Ground-Truth Generation for Realistic Image Super-Resolution	Du Chen · Jie Liang · Xindong Zhang · Ming Liu · Hui Zeng · Lei Zhang	N/A	Code
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration	Kemal Oksuz · Tom Joy · Puneet K. Dokania	N/A	Code
Generating Human Motion From Textual Descriptions With Discrete Representations	Jianrong Zhang · Yangsong Zhang · Xiaodong Cun · Yong Zhang · Hongwei Zhao · Hongtao Lu · Xi Shen · Ying Shan	N/A	Code
Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing	Yu Zheng · Jiahui Zhan · Shengfeng He · Junyu Dong · Yong Du	N/A	Code
Learning Human Mesh Recovery in 3D Scenes	Zehong Shen · Zhi Cen · Sida Peng · Qing Shuai · Hujun Bao · Xiaowei Zhou	N/A	Code
Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection	Luting Wang · Yi Liu · Penghui Du · Zihan Ding · Yue Liao · Qiaosong Qi · Biaolong Chen · Si Liu	N/A	Code
Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method	Ran Yi · Haoyuan Tian · Zhihao Gu · Yu-Kun Lai · Paul L. Rosin	N/A	Code
SOOD: Towards Semi-Supervised Oriented Object Detection	Wei Hua · Dingkang Liang · Jingyu Li · Xiaolong Liu · Zhikang Zou · Xiaoqing Ye · Xiang Bai	N/A	Code
Spherical Transformer for LiDAR-Based 3D Recognition	Xin Lai · Yukang Chen · Fanbin Lu · Jianhui Liu · Jiaya Jia	N/A	Code
Data-Free Sketch-Based Image Retrieval	Abhra Chaudhuri · Ayan Kumar Bhunia · Yi-Zhe Song · Anjan Dutta	N/A	Code
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion	Zixiang Zhao · Haowen Bai · Jiangshe Zhang · Yulun Zhang · Shuang Xu · Zudi Lin · Radu Timofte · Luc Van Gool	N/A	Code
Proximal Splitting Adversarial Attack for Semantic Segmentation	Jérôme Rony · Jean-Christophe Pesquet · Ismail Ben Ayed	N/A	Code
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation	Ziyan Wang · Giljoo Nam · Tuur Stuyck · Stephen Lombardi · Chen Cao · Jason Saragih · Michael Zollhöfer · Jessica Hodgins · Christoph Lassner	N/A	Code
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language	Chuanhao Li · Zhen Li · Chenchen Jing · Yunde Jia · Yuwei Wu	N/A	Code
3D-Aware Face Swapping	Yixuan Li · Chao Ma · Yichao Yan · Wenhan Zhu · Xiaokang Yang	N/A	Code
Representing Volumetric Videos As Dynamic MLP Maps	Sida Peng · Yunzhi Yan · Qing Shuai · Hujun Bao · Xiaowei Zhou	N/A	Code
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation	Hang Du · Xuejun Yan · Jingjing Wang · Di Xie · Shiliang Pu	N/A	Code
Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need	Jingyao Li · Pengguang Chen · Zexin He · Shaozuo Yu · Shu Liu · Jiaya Jia	N/A	Code
Paint by Example: Exemplar-Based Image Editing With Diffusion Models	Binxin Yang · Shuyang Gu · Bo Zhang · Ting Zhang · Xuejin Chen · Xiaoyan Sun · Dong Chen · Fang Wen	N/A	Code
Referring Multi-Object Tracking	Dongming Wu · Wencheng Han · Tiancai Wang · Xingping Dong · Xiangyu Zhang · Jianbing Shen	N/A	Code
NerVE: Neural Volumetric Edges for Parametric Curve Extraction From Point Cloud	Xiangyu Zhu · Dong Du · Weikai Chen · Zhiyou Zhao · Yinyu Nie · Xiaoguang Han	N/A	Code
AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection	Yipeng Gao · Kun-Yu Lin · Junkai Yan · Yaowei Wang · Wei-Shi Zheng	N/A	Code
CUF: Continuous Upsampling Filters	Cristina N. Vasconcelos · Cengiz Oztireli · Mark Matthews · Milad Hashemi · Kevin Swersky · Andrea Tagliasacchi	N/A	Code
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors	Yuang Zhang · Tiancai Wang · Xiangyu Zhang	N/A	Code
CXTrack: Improving 3D Point Cloud Tracking With Contextual Information	Tian-Xing Xu · Yuan-Chen Guo · Yu-Kun Lai · Song-Hai Zhang	N/A	Code
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection	Xincheng Yao · Ruoqi Li · Jing Zhang · Jun Sun · Chongyang Zhang	N/A	Code
Learning Bottleneck Concepts in Image Classification	Bowen Wang · Liangzhi Li · Yuta Nakashima · Hajime Nagahara	N/A	Code
Zero-Shot Model Diagnosis	Jinqi Luo · Zhaoning Wang · Chen Henry Wu · Dong Huang · Fernando De la Torre	N/A	Code
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation	Shuai Shen · Wenliang Zhao · Zibin Meng · Wanhua Li · Zheng Zhu · Jie Zhou · Jiwen Lu	N/A	Code
DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer	Ping Chen · Xingpeng Zhang · Ye Li · Ju Tao · Bin Xiao · Bing Wang · Zongjie Jiang	N/A	Code
TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification	Haocong Rao · Chunyan Miao	N/A	Code
Joint Visual Grounding and Tracking With Natural Language Specification	Li Zhou · Zikun Zhou · Kaige Mao · Zhenyu He	N/A	Code
Compressing Volumetric Radiance Fields to 1 MB	Lingzhi Li · Zhen Shen · Zhongshu Wang · Li Shen · Liefeng Bo	N/A	Code
HyperReel: High-Fidelity 6-DoF Video With Ray-Conditioned Sampling	Benjamin Attal · Jia-Bin Huang · Christian Richardt · Michael Zollhöfer · Johannes Kopf · Matthew O’Toole · Changil Kim	N/A	Code
Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections	Alexander Gillert · Giulia Resente · Alba Anadon-Rosell · Martin Wilmking · Uwe Freiherr von Lukas	N/A	Code
Ego-Body Pose Estimation via Ego-Head Pose Estimation	Jiaman Li · Karen Liu · Jiajun Wu	N/A	Code
Learned Two-Plane Perspective Prior Based Image Resampling for Efficient Object Detection	Anurag Ghosh · N. Dinesh Reddy · Christoph Mertz · Srinivasa G. Narasimhan	N/A	Code
PaletteNeRF: Palette-Based Appearance Editing of Neural Radiance Fields	Zhengfei Kuang · Fujun Luan · Sai Bi · Zhixin Shu · Gordon Wetzstein · Kalyan Sunkavalli	N/A	Code
Long Range Pooling for 3D Large-Scale Scene Understanding	Xiang-Li Li · Meng-Hao Guo · Tai-Jiang Mu · Ralph R. Martin · Shi-Min Hu	N/A	Code
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation	Mingjie Li · Bingqian Lin · Zicong Chen · Haokun Lin · Xiaodan Liang · Xiaojun Chang	N/A	Code
Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning	Chengzhi Cao · Xueyang Fu · Hongjian Liu · Yukun Huang · Kunyu Wang · Jiebo Luo · Zheng-Jun Zha	N/A	Code
Contrastive Grouping With Transformer for Referring Image Segmentation	Jiajin Tang · Ge Zheng · Cheng Shi · Sibei Yang	N/A	Code
Structure Aggregation for Cross-Spectral Stereo Image Guided Denoising	Zehua Sheng · Zhu Yu · Xiongwei Liu · Si-Yuan Cao · Yuqi Liu · Hui-Liang Shen · Huaqi Zhang	N/A	Code
Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization	Chenxi Zheng · Bangzhen Liu · Huaidong Zhang · Xuemiao Xu · Shengfeng He	N/A	Code
EDGE: Editable Dance Generation From Music	Jonathan Tseng · Rodrigo Castellon · Karen Liu	N/A	Code
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models	Minghua Liu · Yinhao Zhu · Hong Cai · Shizhong Han · Zhan Ling · Fatih Porikli · Hao Su	N/A	Code
EDICT: Exact Diffusion Inversion via Coupled Transformations	Bram Wallace · Akash Gokul · Nikhil Naik	N/A	Code
Complete 3D Human Reconstruction From a Single Incomplete Image	Junying Wang · Jae Shin Yoon · Tuanfeng Y. Wang · Krishna Kumar Singh · Ulrich Neumann	N/A	Code
PartDistillation: Learning Parts From Instance Segmentation	Jang Hyun Cho · Philipp Krähenbühl · Vignesh Ramanathan	N/A	Code
Neural Vector Fields: Implicit Representation by Explicit Learning	Xianghui Yang · Guosheng Lin · Zhenghao Chen · Luping Zhou	N/A	Code
Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors	Chao Chen · Yu-Shen Liu · Zhizhong Han	N/A	Code
Texts as Images in Prompt Tuning for Multi-Label Image Recognition	Zixian Guo · Bowen Dong · Zhilong Ji · Jinfeng Bai · Yiwen Guo · Wangmeng Zuo	N/A	Code
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions	Yun He · Danhang Tang · Yinda Zhang · Xiangyang Xue · Yanwei Fu	N/A	Code
MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning	Shicai Wei · Chunbo Luo · Yang Luo	N/A	Code
Rethinking Optical Flow From Geometric Matching Consistent Perspective	Qiaole Dong · Chenjie Cao · Yanwei Fu	N/A	Code
FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation	Junjie He · Pengyu Li · Yifeng Geng · Xuansong Xie	N/A	Code
How Can Objects Help Action Recognition?	Xingyi Zhou · Anurag Arnab · Chen Sun · Cordelia Schmid	N/A	Code
Images Speak in Images: A Generalist Painter for In-Context Visual Learning	Xinlong Wang · Wen Wang · Yue Cao · Chunhua Shen · Tiejun Huang	N/A	Code
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation	Huimin Huang · Shiao Xie · Lanfen Lin · Ruofeng Tong · Yen-Wei Chen · Yuexiang Li · Hong Wang · Yawen Huang · Yefeng Zheng	N/A	Code
A Unified Pyramid Recurrent Network for Video Frame Interpolation	Xin Jin · Longhai Wu · Jie Chen · Youxin Chen · Jayoon Koo · Cheul-hee Hahm	N/A	Code
Enhancing the Self-Universality for Transferable Targeted Attacks	Zhipeng Wei · Jingjing Chen · Zuxuan Wu · Yu-Gang Jiang	N/A	Code
Multi-View Inverse Rendering for Large-Scale Real-World Indoor Scenes	Zhen Li · Lingli Wang · Mofang Cheng · Cihui Pan · Jiaqi Yang	N/A	Code
TAPS3D: Text-Guided 3D Textured Shape Generation From Pseudo Supervision	Jiacheng Wei · Hao Wang · Jiashi Feng · Guosheng Lin · Kim-Hui Yap	N/A	Code
Frequency-Modulated Point Cloud Rendering With Easy Editing	Yi Zhang · Xiaoyang Huang · Bingbing Ni · Teng Li · Wenjun Zhang	N/A	Code
Vector Quantization With Self-Attention for Quality-Independent Representation Learning	Zhou Yang · Weisheng Dong · Xin Li · Mengluan Huang · Yulin Sun · Guangming Shi	N/A	Code
Fine-Grained Face Swapping via Regional GAN Inversion	Zhian Liu · Maomao Li · Yong Zhang · Cairong Wang · Qi Zhang · Jue Wang · Yongwei Nie	N/A	Code
Backdoor Defense via Adaptively Splitting Poisoned Dataset	Kuofeng Gao · Yang Bai · Jindong Gu · Yong Yang · Shu-Tao Xia	N/A	Code
RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models	Jiabao Lei · Jiapeng Tang · Kui Jia	N/A	Code
CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose	Xu Zhang · Wen Wang · Zhe Chen · Yufei Xu · Jing Zhang · Dacheng Tao	N/A	Code
Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones	Mert Bülent Sarıyıldız · Karteek Alahari · Diane Larlus · Yannis Kalantidis	N/A	Code
Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring	Lingshun Kong · Jiangxin Dong · Jianjun Ge · Mingqiang Li · Jinshan Pan	N/A	Code
DartBlur: Privacy Preservation With Detection Artifact Suppression	Baowei Jiang · Bing Bai · Haozhe Lin · Yu Wang · Yuchen Guo · Lu Fang	N/A	Code
FCC: Feature Clusters Compression for Long-Tailed Visual Recognition	Jian Li · Ziyao Meng · Daqian Shi · Rui Song · Xiaolei Diao · Jingwen Wang · Hao Xu	N/A	Code
CLOTH4D: A Dataset for Clothed Human Reconstruction	Xingxing Zou · Xintong Han · Waikeung Wong	N/A	Code
LinK: Linear Kernel for LiDAR-Based 3D Perception	Tao Lu · Xiang Ding · Haisong Liu · Gangshan Wu · Limin Wang	N/A	Code
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation	Xiaoyang Wang · Bingfeng Zhang · Limin Yu · Jimin Xiao	N/A	Code
Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception	Junyu Gao · Mengyuan Chen · Changsheng Xu	N/A	Code
LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs	Yukang Chen · Jianhui Liu · Xiangyu Zhang · Xiaojuan Qi · Jiaya Jia	N/A	Code
Deep Learning of Partial Graph Matching via Differentiable Top-K	Runzhong Wang · Ziao Guo · Shaofei Jiang · Xiaokang Yang · Junchi Yan	N/A	Code
Analyzing Physical Impacts Using Transient Surface Wave Imaging	Tianyuan Zhang · Mark Sheinin · Dorian Chan · Mark Rau · Matthew O’Toole · Srinivasa G. Narasimhan	N/A	Code
Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment	Yiyou Sun · Yaojie Liu · Xiaoming Liu · Yixuan Li · Wen-Sheng Chu	N/A	Code
A Simple Baseline for Video Restoration With Grouped Spatial-Temporal Shift	Dasong Li · Xiaoyu Shi · Yi Zhang · Ka Chun Cheung · Simon See · Xiaogang Wang · Hongwei Qin · Hongsheng Li	N/A	Code
The ObjectFolder Benchmark: Multisensory Learning With Neural and Real Objects	Ruohan Gao · Yiming Dou · Hao Li · Tanmay Agarwal · Jeannette Bohg · Yunzhu Li · Li Fei-Fei · Jiajun Wu	N/A	Code
PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav	Ram Ramrakhya · Dhruv Batra · Erik Wijmans · Abhishek Das	N/A	Code
DC2: Dual-Camera Defocus Control by Learning To Refocus	Hadi Alzayer · Abdullah Abuolaim · Leung Chun Chan · Yang Yang · Ying Chen Lou · Jia-Bin Huang · Abhishek Kar	N/A	Code
Habitat-Matterport 3D Semantics Dataset	Karmesh Yadav · Ram Ramrakhya · Santhosh Kumar Ramakrishnan · Theo Gervet · John Turner · Aaron Gokaslan · Noah Maestre · Angel Xuan Chang · Dhruv Batra · Manolis Savva · Alexander William Clegg · Devendra Singh Chaplot	N/A	Code
Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering	Zhenwei Shao · Zhou Yu · Meng Wang · Jun Yu	N/A	Code
Similarity Metric Learning for RGB-Infrared Group Re-Identification	Jianghao Xiong · Jianhuang Lai	N/A	Code
DPF: Learning Dense Prediction Fields With Weak Supervision	Xiaoxue Chen · Yuhang Zheng · Yupeng Zheng · Qiang Zhou · Hao Zhao · Guyue Zhou · Ya-Qin Zhang	N/A	Code
Mixed Autoencoder for Self-Supervised Visual Representation Learning	Kai Chen · Zhili Liu · Lanqing Hong · Hang Xu · Zhenguo Li · Dit-Yan Yeung	N/A	Code
Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers	Chenyang Lu · Daan de Geus · Gijs Dubbelman	N/A	Code
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds	Jun-Kun Chen · Jipeng Lyu · Yu-Xiong Wang	N/A	Code
Multiview Compressive Coding for 3D Reconstruction	Chao-Yuan Wu · Justin Johnson · Jitendra Malik · Christoph Feichtenhofer · Georgia Gkioxari	N/A	Code
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation	Lihe Yang · Lei Qi · Litong Feng · Wayne Zhang · Yinghuan Shi	N/A	Code
Delving Into Shape-Aware Zero-Shot Semantic Segmentation	Xinyu Liu · Beiwen Tian · Zhen Wang · Rui Wang · Kehua Sheng · Bo Zhang · Hao Zhao · Guyue Zhou	N/A	Code
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval	Yi Xie · Huaidong Zhang · Xuemiao Xu · Jianqing Zhu · Shengfeng He	N/A	Code
Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping	Long Lian · Zhirong Wu · Stella X. Yu	N/A	Code
NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation	Zehan Zheng · Danni Wu · Ruisi Lu · Fan Lu · Guang Chen · Changjun Jiang	N/A	Code
Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning	Zhuoyang Zhang · Yuhao Dong · Yunze Liu · Li Yi	N/A	Code
GFIE: A Dataset and Baseline for Gaze-Following From 2D to 3D in Indoor Environments	Zhengxi Hu · Yuxue Yang · Xiaolin Zhai · Dingye Yang · Bohan Zhou · Jingtai Liu	N/A	Code
Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?	Wenhao Wu · Haipeng Luo · Bo Fang · Jingdong Wang · Wanli Ouyang	N/A	Code
Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition From Egocentric RGB Videos	Yilin Wen · Hao Pan · Lei Yang · Jia Pan · Taku Komura · Wenping Wang	N/A	Code
CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer	Linfeng Wen · Chengying Gao · Changqing Zou	N/A	Code
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias	Noa Garcia · Yusuke Hirota · Yankun Wu · Yuta Nakashima	N/A	Code
AltFreezing for More General Video Face Forgery Detection	Zhendong Wang · Jianmin Bao · Wengang Zhou · Weilun Wang · Houqiang Li	N/A	Code
Two-View Geometry Scoring Without Correspondences	Axel Barroso-Laguna · Eric Brachmann · Victor Adrian Prisacariu · Gabriel J. Brostow · Daniyar Turmukhambetov	N/A	Code
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning	Wenjin Wang · Yunqing Hu · Qianglong Chen · Yin Zhang	N/A	Code
Revisiting Prototypical Network for Cross Domain Few-Shot Learning	Fei Zhou · Peng Wang · Lei Zhang · Wei Wei · Yanning Zhang	N/A	Code
Federated Incremental Semantic Segmentation	Jiahua Dong · Duzhen Zhang · Yang Cong · Wei Cong · Henghui Ding · Dengxin Dai	N/A	Code
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching	Dongliang Cao · Florian Bernard	N/A	Code
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization	Aishan Liu · Shiyu Tang · Siyuan Liang · Ruihao Gong · Boxi Wu · Xianglong Liu · Dacheng Tao	N/A	Code
Video-Text As Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning	Peng Jin · Jinfa Huang · Pengfei Xiong · Shangxuan Tian · Chang Liu · Xiangyang Ji · Li Yuan · Jie Chen	N/A	Code
pCON: Polarimetric Coordinate Networks for Neural Scene Representations	Henry Peters · Yunhao Ba · Achuta Kadambi	N/A	Code
RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo	Changjiang Cai · Pan Ji · Qingan Yan · Yi Xu	N/A	Code
Depth Estimation From Camera Image and mmWave Radar Point Cloud	Akash Deep Singh · Yunhao Ba · Ankur Sarker · Howard Zhang · Achuta Kadambi · Stefano Soatto · Mani Srivastava · Alex Wong	N/A	Code
Normal-Guided Garment UV Prediction for Human Re-Texturing	Yasamin Jafarian · Tuanfeng Y. Wang · Duygu Ceylan · Jimei Yang · Nathan Carr · Yi Zhou · Hyun Soo Park	N/A	Code
WeatherStream: Light Transport Automation of Single Image Deweathering	Howard Zhang · Yunhao Ba · Ethan Yang · Varan Mehra · Blake Gella · Akira Suzuki · Arnold Pfahnl · Chethan Chinder Chandrappa · Alex Wong · Achuta Kadambi	N/A	Code
MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices	Kejie Li · Jia-Wang Bian · Robert Castle · Philip H.S. Torr · Victor Adrian Prisacariu	N/A	Code
Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity	Yanan Sun · Chi-Keung Tang · Yu-Wing Tai	N/A	Code
Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection	Chuandong Liu · Chenqiang Gao · Fangcen Liu · Pengcheng Li · Deyu Meng · Xinbo Gao	N/A	Code
PATS: Patch Area Transportation With Subdivision for Local Feature Matching	Junjie Ni · Yijin Li · Zhaoyang Huang · Hongsheng Li · Hujun Bao · Zhaopeng Cui · Guofeng Zhang	N/A	Code
SINE: Semantic-Driven Image-Based NeRF Editing With Prior-Guided Editing Field	Chong Bao · Yinda Zhang · Bangbang Yang · Tianxing Fan · Zesong Yang · Hujun Bao · Guofeng Zhang · Zhaopeng Cui	N/A	Code
GeoNet: Benchmarking Unsupervised Adaptation Across Geographies	Tarun Kalluri · Wangdong Xu · Manmohan Chandraker	N/A	Code
Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset	Shuaizheng Liu · Xindong Zhang · Lingchen Sun · Zhetong Liang · Hui Zeng · Lei Zhang	N/A	Code
3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification	Jiazhao Zhang · Liu Dai · Fanpeng Meng · Qingnan Fan · Xuelin Chen · Kai Xu · He Wang	N/A	Code
Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling	Yulin Liu · Haoran Liu · Yingda Yin · Yang Wang · Baoquan Chen · He Wang	N/A	Code
RILS: Masked Visual Reconstruction in Language Semantic Space	Shusheng Yang · Yixiao Ge · Kun Yi · Dian Li · Ying Shan · Xiaohu Qie · Xinggang Wang	N/A	Code
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection	Benjin Zhu · Zhe Wang · Shaoshuai Shi · Hang Xu · Lanqing Hong · Hongsheng Li	N/A	Code
PREIM3D: 3D Consistent Precise Image Attribute Editing From a Single Image	Jianhui Li · Jianmin Li · Haoji Zhang · Shilong Liu · Zhengyi Wang · Zihao Xiao · Kaiwen Zheng · Jun Zhu	N/A	Code
Bridging Search Region Interaction With Template for RGB-T Tracking	Tianrui Hui · Zizheng Xun · Fengguang Peng · Junshi Huang · Xiaoming Wei · Xiaolin Wei · Jiao Dai · Jizhong Han · Si Liu	N/A	Code
Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels	Jingqiu Zhou · Linjiang Huang · Liang Wang · Si Liu · Hongsheng Li	N/A	Code
Learning To Zoom and Unzoom	Chittesh Thavamani · Mengtian Li · Francesco Ferroni · Deva Ramanan	N/A	Code
MaLP: Manipulation Localization Using a Proactive Scheme	Vishal Asnani · Xi Yin · Tal Hassner · Xiaoming Liu	N/A	Code
Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning	Haiyu Wu · Grace Bezold · Aman Bhatta · Kevin W. Bowyer	N/A	Code
Visual-Tactile Sensing for In-Hand Object Reconstruction	Wenqiang Xu · Zhenjun Yu · Han Xue · Ruolin Ye · Siqiong Yao · Cewu Lu	N/A	Code
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training	Filip Radenovic · Abhimanyu Dubey · Abhishek Kadian · Todor Mihaylov · Simon Vandenhende · Yash Patel · Yi Wen · Vignesh Ramanathan · Dhruv Mahajan	N/A	Code
Semi-Supervised Domain Adaptation With Source Label Adaptation	Yu-Chu Yu · Hsuan-Tien Lin	N/A	Code
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection	Chao Feng · Ziyang Chen · Andrew Owens	N/A	Code
IterativePFN: True Iterative Point Cloud Filtering	Dasith de Silva Edirimuni · Xuequan Lu · Zhiwen Shao · Gang Li · Antonio Robles-Kelly · Ying He	N/A	Code
Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time	Wei Shang · Dongwei Ren · Yi Yang · Hongzhi Zhang · Kede Ma · Wangmeng Zuo	N/A	Code
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning	Yun-Hao Cao · Peiqin Sun · Shuchang Zhou	N/A	Code
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking	Ziqi Pang · Jie Li · Pavel Tokmakov · Dian Chen · Sergey Zagoruyko · Yu-Xiong Wang	N/A	Code
VecFontSDF: Learning To Reconstruct and Synthesize High-Quality Vector Fonts via Signed Distance Functions	Zeqing Xia · Bojun Xiong · Zhouhui Lian	N/A	Code
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment	Baorui Ma · Junsheng Zhou · Yu-Shen Liu · Zhizhong Han	N/A	Code
Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization	Hantao Yao · Rui Zhang · Changsheng Xu	N/A	Code
Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation	Ju He · Jieneng Chen · Ming-Xian Lin · Qihang Yu · Alan L. Yuille	N/A	Code
Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography	Yue Cao · Ming Liu · Shuai Liu · Xiaotao Wang · Lei Lei · Wangmeng Zuo	N/A	Code
Dynamic Focus-Aware Positional Queries for Semantic Segmentation	Haoyu He · Jianfei Cai · Zizheng Pan · Jing Liu · Jing Zhang · Dacheng Tao · Bohan Zhuang	N/A	Code
Generic-to-Specific Distillation of Masked Autoencoders	Wei Huang · Zhiliang Peng · Li Dong · Furu Wei · Jianbin Jiao · Qixiang Ye	N/A	Code
Benchmarking Robustness of 3D Object Detection to Common Corruptions	Yinpeng Dong · Caixin Kang · Jinlai Zhang · Zijian Zhu · Yikai Wang · Xiao Yang · Hang Su · Xingxing Wei · Jun Zhu	N/A	Code
GarmentTracking: Category-Level Garment Pose Tracking	Han Xue · Wenqiang Xu · Jieyi Zhang · Tutian Tang · Yutong Li · Wenxin Du · Ruolin Ye · Cewu Lu	N/A	Code
TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets	Weixin Chen · Dawn Song · Bo Li	N/A	Code
Weakly Supervised Video Representation Learning With Unaligned Text for Sequential Videos	Sixun Dong · Huazhang Hu · Dongze Lian · Weixin Luo · Yicheng Qian · Shenghua Gao	N/A	Code
Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process	Yuhan Li · Yishun Dou · Xuanhong Chen · Bingbing Ni · Yilin Sun · Yutian Liu · Fuzhen Wang	N/A	Code
SpaText: Spatio-Textual Representation for Controllable Image Generation	Omri Avrahami · Thomas Hayes · Oran Gafni · Sonal Gupta · Yaniv Taigman · Devi Parikh · Dani Lischinski · Ohad Fried · Xi Yin	N/A	Code
Watch or Listen: Robust Audio-Visual Speech Recognition With Visual Corruption Modeling and Reliability Scoring	Joanna Hong · Minsu Kim · Jeongsoo Choi · Yong Man Ro	N/A	Code
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation	Titas Anciukevičius · Zexiang Xu · Matthew Fisher · Paul Henderson · Hakan Bilen · Niloy J. Mitra · Paul Guerrero	N/A	Code
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints	Yaqi Shen · Le Hui · Jin Xie · Jian Yang	N/A	Code
Adaptive Annealing for Robust Geometric Estimation	Chitturi Sidhartha · Lalit Manam · Venu Madhav Govindu	N/A	Code
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising	Miaoyu Li · Ji Liu · Ying Fu · Yulun Zhang · Dejing Dou	N/A	Code
Partial Network Cloning	Jingwen Ye · Songhua Liu · Xinchao Wang	N/A	Code
Twin Contrastive Learning With Noisy Labels	Zhizhong Huang · Junping Zhang · Hongming Shan	N/A	Code
Ambiguous Medical Image Segmentation Using Diffusion Models	Aimon Rahman · Jeya Maria Jose Valanarasu · Ilker Hacihaliloglu · Vishal M. Patel	N/A	Code
High-Res Facial Appearance Capture From Polarized Smartphone Images	Dejan Azinović · Olivier Maury · Christophe Hery · Matthias Nießner · Justus Thies	N/A	Code
AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation	Takehiko Ohkawa · Kun He · Fadime Sener · Tomas Hodan · Luan Tran · Cem Keskin	N/A	Code
EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata	Chenhao Zheng · Ayush Shrivastava · Andrew Owens	N/A	Code
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures	Gal Metzer · Elad Richardson · Or Patashnik · Raja Giryes · Daniel Cohen-Or	N/A	Code
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning	Sungmin Cha · Sungjun Cho · Dasol Hwang · Sunwon Hong · Moontae Lee · Taesup Moon	N/A	Code
Progressive Neighbor Consistency Mining for Correspondence Pruning	Xin Liu · Jufeng Yang	N/A	Code
Post-Training Quantization on Diffusion Models	Yuzhang Shang · Zhihang Yuan · Bin Xie · Bingzhe Wu · Yan Yan	N/A	Code
Fully Self-Supervised Depth Estimation From Defocus Clue	Haozhe Si · Bin Zhao · Dong Wang · Yunpeng Gao · Mulin Chen · Zhigang Wang · Xuelong Li	N/A	Code
Curricular Object Manipulation in LiDAR-Based Object Detection	Ziyue Zhu · Qiang Meng · Xiao Wang · Ke Wang · Liujiang Yan · Jian Yang	N/A	Code
Adaptive Assignment for Geometry Aware Local Feature Matching	Dihe Huang · Ying Chen · Yong Liu · Jianlin Liu · Shang Xu · Wenlong Wu · Yikang Ding · Fan Tang · Chengjie Wang	N/A	Code
RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension	Lei Jin · Gen Luo · Yiyi Zhou · Xiaoshuai Sun · Guannan Jiang · Annan Shu · Rongrong Ji	N/A	Code
ANetQA: A Large-Scale Benchmark for Fine-Grained Compositional Reasoning Over Untrimmed Videos	Zhou Yu · Lixiang Zheng · Zhou Zhao · Fei Wu · Jianping Fan · Kui Ren · Jun Yu	N/A	Code
GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds	Honghui Yang · Tong He · Jiaheng Liu · Hua Chen · Boxi Wu · Binbin Lin · Xiaofei He · Wanli Ouyang	N/A	Code
Multimodal Industrial Anomaly Detection via Hybrid Fusion	Yue Wang · Jinlong Peng · Jiangning Zhang · Ran Yi · Yabiao Wang · Chengjie Wang	N/A	Code
B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution	Byeonghyun Pak · Jaewon Lee · Kyong Hwan Jin	N/A	Code
CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation	Yuqi Lin · Minghao Chen · Wenxiao Wang · Boxi Wu · Ke Li · Binbin Lin · Haifeng Liu · Xiaofei He	N/A	Code
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation	Ludan Ruan · Yiyang Ma · Huan Yang · Huiguo He · Bei Liu · Jianlong Fu · Nicholas Jing Yuan · Qin Jin · Baining Guo	N/A	Code
FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization	Jiawei Yang · Marco Pavone · Yue Wang	N/A	Code
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory	Sicheng Li · Hao Li · Yue Wang · Yiyi Liao · Lu Yu	N/A	Code
Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks	Jierun Chen · Shiu-hong Kao · Hao He · Weipeng Zhuo · Song Wen · Chul-Ho Lee · S.-H. Gary Chan	N/A	Code
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning	Cheng Tan · Zhangyang Gao · Lirong Wu · Yongjie Xu · Jun Xia · Siyuan Li · Stan Z. Li	N/A	Code
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module	Linzhi Huang · Yulong Li · Hongbo Tian · Yue Yang · Xiangang Li · Weihong Deng · Jieping Ye	N/A	Code
Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification	Zhengwei Yang · Meng Lin · Xian Zhong · Yu Wu · Zheng Wang	N/A	Code
Feature Alignment and Uniformity for Test Time Adaptation	Shuai Wang · Daoan Zhang · Zipei Yan · Jianguo Zhang · Rui Li	N/A	Code
AeDet: Azimuth-Invariant Multi-View 3D Object Detection	Chengjian Feng · Zequn Jie · Yujie Zhong · Xiangxiang Chu · Lin Ma	N/A	Code
Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need	Tong Wei · Kai Gan	N/A	Code
OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization	Ying Zhao	N/A	Code
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization	Sungyeon Kim · Boseung Jeong · Suha Kwak	N/A	Code
Generative Diffusion Prior for Unified Image Restoration and Enhancement	Ben Fei · Zhaoyang Lyu · Liang Pan · Junzhe Zhang · Weidong Yang · Tianyue Luo · Bo Zhang · Bo Dai	N/A	Code
Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder	Aming Wu · Cheng Deng	N/A	Code
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection	Mikhail Kennerley · Jian-Gang Wang · Bharadwaj Veeravalli · Robby T. Tan	N/A	Code
Linking Garment With Person via Semantically Associated Landmarks for Virtual Try-On	Keyu Yan · Tingwei Gao · Hui Zhang · Chengjun Xie	N/A	Code
A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation	Congqi Cao · Yue Lu · Peng Wang · Yanning Zhang	N/A	Code
DINER: Depth-Aware Image-Based NEural Radiance Fields	Malte Prinzler · Otmar Hilliges · Justus Thies	N/A	Code
Learning Personalized High Quality Volumetric Head Avatars From Monocular RGB Videos	Ziqian Bai · Feitong Tan · Zeng Huang · Kripasindhu Sarkar · Danhang Tang · Di Qiu · Abhimitra Meka · Ruofei Du · Mingsong Dou · Sergio Orts-Escolano · Rohit Pandey · Ping Tan · Thabo Beeler · Sean Fanello · Yinda Zhang	N/A	Code
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics	Artur Grigorev · Michael J. Black · Otmar Hilliges	N/A	Code
Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation	Shenghai Rong · Bohai Tu · Zilei Wang · Junjie Li	N/A	Code
Instant Volumetric Head Avatars	Wojciech Zielonka · Timo Bolkart · Justus Thies	N/A	Code
From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm	Jie Chen · Zilong Li · Yin Zhu · Junping Zhang · Jian Pu	N/A	Code
Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer	Shubh Maheshwari · Rahul Narain · Ramya Hebbalaguppe	N/A	Code
An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions	Weijia Li · Saihui Hou · Chunjie Zhang · Chunshui Cao · Xu Liu · Yongzhen Huang · Yao Zhao	N/A	Code
Event-Based Shape From Polarization	Manasi Muglikar · Leonard Bauersfeld · Diederik Paul Moeys · Davide Scaramuzza	N/A	Code
Plateau-Reduced Differentiable Path Tracing	Michael Fischer · Tobias Ritschel	N/A	Code
End-to-End Video Matting With Trimap Propagation	Wei-Lun Huang · Ming-Sui Lee	N/A	Code
Weakly-Supervised Single-View Image Relighting	Renjiao Yi · Chenyang Zhu · Kai Xu	N/A	Code
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning	Weixuan Sun · Jiayi Zhang · Jianyuan Wang · Zheyuan Liu · Yiran Zhong · Tianpeng Feng · Yandong Guo · Yanhao Zhang · Nick Barnes	N/A	Code
Non-Contrastive Unsupervised Learning of Physiological Signals From Video	Jeremy Speth · Nathan Vance · Patrick Flynn · Adam Czajka	N/A	Code
Structured Sparsity Learning for Efficient Video Super-Resolution	Bin Xia · Jingwen He · Yulun Zhang · Yitong Wang · Yapeng Tian · Wenming Yang · Luc Van Gool	N/A	Code
ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration	Wei-Ning Hsu · Tal Remez · Bowen Shi · Jacob Donley · Yossi Adi	N/A	Code
Shape, Pose, and Appearance From a Single Image via Bootstrapped Radiance Field Inversion	Dario Pavllo · David Joseph Tan · Marie-Julie Rakotosaona · Federico Tombari	N/A	Code
Towards Better Decision Forests: Forest Alternating Optimization	Miguel Á. Carreira-Perpiñán · Magzhan Gabidolla · Arman Zharmagambetov	N/A	Code
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning	Thomas Stegmüller · Tim Lebailly · Behzad Bozorgtabar · Tinne Tuytelaars · Jean-Philippe Thiran	N/A	Code
Polynomial Implicit Neural Representations for Large Diverse Datasets	Rajhans Singh · Ankita Shukla · Pavan Turaga	N/A	Code
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency	Lin Tian · Hastings Greer · François-Xavier Vialard · Roland Kwitt · Raúl San José Estépar · Richard Jarrett Rushmore · Nikolaos Makris · Sylvain Bouix · Marc Niethammer	N/A	Code
Exploring Discontinuity for Video Frame Interpolation	Sangjin Lee · Hyeongmin Lee · Chajin Shin · Hanbin Son · Sangyoun Lee	N/A	Code
Local 3D Editing via 3D Distillation of CLIP Knowledge	Junha Hyung · Sungwon Hwang · Daejin Kim · Hyunji Lee · Jaegul Choo	N/A	Code
Dynamic Conceptional Contrastive Learning for Generalized Category Discovery	Nan Pu · Zhun Zhong · Nicu Sebe	N/A	Code
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence	Mohammed Alloulah · Maximilian Arnold	N/A	Code
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection	Vibashan VS · Poojan Oza · Vishal M. Patel	N/A	Code
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition	Tianyu Luan · Yuanhao Zhai · Jingjing Meng · Zhong Li · Zhang Chen · Yi Xu · Junsong Yuan	N/A	Code
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions	Dale Decatur · Itai Lang · Rana Hanocka	N/A	Code
Egocentric Video Task Translation	Zihui Xue · Yale Song · Kristen Grauman · Lorenzo Torresani	N/A	Code
Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection	Yi Wang · Ruili Wang · Xin Fan · Tianzhu Wang · Xiangjian He	N/A	Code
Balanced Energy Regularization Loss for Out-of-Distribution Detection	hyunjun choi · Hawook Jeong · Jin Young Choi	N/A	Code
Private Image Generation With Dual-Purpose Auxiliary Classifier	Chen Chen · Daochang Liu · Siqi Ma · Surya Nepal · Chang Xu	N/A	Code
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models	Zhaoyang Lyu · Jinyi Wang · Yuwei An · Ya Zhang · Dahua Lin · Bo Dai	N/A	Code
Neural Video Compression With Diverse Contexts	Jiahao Li · Bin Li · Yan Lu	N/A	Code
Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection	Bo Zhang · Jiakang Yuan · Botian Shi · Tao Chen · Yikang Li · Yu Qiao	N/A	Code
ScarceNet: Animal Pose Estimation With Scarce Annotations	Chen Li · Gim Hee Lee	N/A	Code
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation	Tianlei Jin · Fangtai Guo · Qiwei Meng · Shiqiang Zhu · Xiangming Xi · Wen Wang · Zonghao Mu · Wei Song	N/A	Code
TriDet: Temporal Action Detection With Relative Boundary Modeling	Dingfeng Shi · Yujie Zhong · Qiong Cao · Lin Ma · Jia Li · Dacheng Tao	N/A	Code
Multi-Level Logit Distillation	Ying Jin · Jiaqi Wang · Dahua Lin	N/A	Code
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning	Yuqian Fu · Yu Xie · Yanwei Fu · Yu-Gang Jiang	N/A	Code
Text With Knowledge Graph Augmented Transformer for Video Captioning	Xin Gu · Guang Chen · Yufei Wang · Libo Zhang · Tiejian Luo · Longyin Wen	N/A	Code
Semantic Ray: Learning a Generalizable Semantic Field With Cross-Reprojection Attention	Fangfu Liu · Chubin Zhang · Yu Zheng · Yueqi Duan	N/A	Code
MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models	Dohwan Ko · Joonmyung Choi · Hyeong Kyu Choi · Kyoung-Woon On · Byungseok Roh · Hyunwoo J. Kim	N/A	Code
Self-Supervised AutoFlow	Hsin-Ping Huang · Charles Herrmann · Junhwa Hur · Erika Lu · Kyle Sargent · Austin Stone · Ming-Hsuan Yang · Deqing Sun	N/A	Code
Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images	Bowei Du · Yecheng Huang · Jiaxin Chen · Di Huang	N/A	Code
Context-Based Trit-Plane Coding for Progressive Image Compression	Seungmin Jeon · Kwang Pyo Choi · Youngo Park · Chang-Su Kim	N/A	Code
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses	Junbong Jang · Kwonmoo Lee · Tae-Kyun Kim	N/A	Code
VQACL: A Novel Visual Question Answering Continual Learning Setting	Xi Zhang · Feifei Zhang · Changsheng Xu	N/A	Code
Explicit Visual Prompting for Low-Level Structure Segmentations	Weihuang Liu · Xi Shen · Chi-Man Pun · Xiaodong Cun	N/A	Code
Practical Network Acceleration With Tiny Sets	Guo-Hua Wang · Jianxin Wu	N/A	Code
Sphere-Guided Training of Neural Implicit Surfaces	Andreea Dogaru · Andrei-Timotei Ardelean · Savva Ignatyev · Egor Zakharov · Evgeny Burnaev	N/A	Code
Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection	Huajun Zhou · Bo Qiao · Lingxiao Yang · Jianhuang Lai · Xiaohua Xie	N/A	Code
FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction	Haoran Bai · Di Kang · Haoxian Zhang · Jinshan Pan · Linchao Bao	N/A	Code
Differentiable Shadow Mapping for Efficient Inverse Graphics	Markus Worchel · Marc Alexa	N/A	Code
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation	Wenxuan Zhang · Xiaodong Cun · Xuan Wang · Yong Zhang · Xi Shen · Yu Guo · Ying Shan · Fei Wang	N/A	Code
High-Fidelity and Freely Controllable Talking Head Video Generation	Yue Gao · Yuan Zhou · Jinglu Wang · Xiao Li · Xiang Ming · Yan Lu	N/A	Code
BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation	Junheum Park · Jintae Kim · Chang-Su Kim	N/A	Code
Noisy Correspondence Learning With Meta Similarity Correction	Haochen Han · Kaiyao Miao · Qinghua Zheng · Minnan Luo	N/A	Code
EVAL: Explainable Video Anomaly Localization	Ashish Singh · Michael J. Jones · Erik G. Learned-Miller	N/A	Code
Adaptive Plasticity Improvement for Continual Learning	Yan-Shuo Liang · Wu-Jun Li	N/A	Code
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision	Aditay Tripathi · Rishubh Singh · Anirban Chakraborty · Pradeep Shenoy	N/A	Code
MOSO: Decomposing MOtion, Scene and Object for Video Prediction	Mingzhen Sun · Weining Wang · Xinxin Zhu · Jing Liu	N/A	Code
Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses	Eric Brachmann · Tommaso Cavallari · Victor Adrian Prisacariu	N/A	Code
A Probabilistic Attention Model With Occlusion-Aware Texture Regression for 3D Hand Reconstruction From a Single RGB Image	Zheheng Jiang · Hossein Rahmani · Sue Black · Bryan M. Williams	N/A	Code
Revisiting Rotation Averaging: Uncertainties and Robust Losses	Ganlin Zhang · Viktor Larsson · Daniel Barath	N/A	Code
LiDAR-in-the-Loop Hyperparameter Optimization	Félix Goudreault · Dominik Scheuble · Mario Bijelic · Nicolas Robidoux · Felix Heide	N/A	Code
Query-Dependent Video Representation for Moment Retrieval and Highlight Detection	WonJun Moon · Sangeek Hyun · SangUk Park · Dongchan Park · Jae-Pil Heo	N/A	Code
High-Fidelity 3D Face Generation From Natural Language Descriptions	Menghua Wu · Hao Zhu · Linjia Huang · Yiyu Zhuang · Yuanxun Lu · Xun Cao	N/A	Code
NeRF-Supervised Deep Stereo	Fabio Tosi · Alessio Tonioni · Daniele De Gregorio · Matteo Poggi	N/A	Code
vMAP: Vectorised Object Mapping for Neural Field SLAM	Xin Kong · Shikun Liu · Marwan Taher · Andrew J. Davison	N/A	Code
DiffRF: Rendering-Guided 3D Radiance Field Diffusion	Norman Müller · Yawar Siddiqui · Lorenzo Porzi · Samuel Rota Bulò · Peter Kontschieder · Matthias Nießner	N/A	Code
TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers	Cheng Zhang · Hai Liu · Yongjian Deng · Bochen Xie · Youfu Li	N/A	Code
Learning a Depth Covariance Function	Eric Dexheimer · Andrew J. Davison	N/A	Code
Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model	Rolandos Alexandros Potamias · Stylianos Ploumpis · Stylianos Moschoglou · Vasileios Triantafyllou · Stefanos Zafeiriou	N/A	Code
The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks	Iuri Frosio · Jan Kautz	N/A	Code
Test of Time: Instilling Video-Language Models With a Sense of Time	Piyush Bagad · Makarand Tapaswi · Cees G. M. Snoek	N/A	Code
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects	Bowen Wen · Jonathan Tremblay · Valts Blukis · Stephen Tyree · Thomas Müller · Alex Evans · Dieter Fox · Jan Kautz · Stan Birchfield	N/A	Code
Leveraging Hidden Positives for Unsupervised Semantic Segmentation	Hyun Seok Seong · WonJun Moon · SuBeen Lee · Jae-Pil Heo	N/A	Code
BlendFields: Few-Shot Example-Driven Facial Modeling	Kacper Kania · Stephan J. Garbin · Andrea Tagliasacchi · Virginia Estellers · Kwang Moo Yi · Julien Valentin · Tomasz Trzciński · Marek Kowalski	N/A	Code
CIRCLE: Capture in Rich Contextual Environments	João Pedro Araújo · Jiaman Li · Karthik Vetrivel · Rishi Agarwal · Jiajun Wu · Deepak Gopinath · Alexander William Clegg · Karen Liu	N/A	Code
Realistic Saliency Guided Image Enhancement	S. Mahdi H. Miangoleh · Zoya Bylinskii · Eric Kee · Eli Shechtman · Yağiz Aksoy	N/A	Code
Implicit Neural Head Synthesis via Controllable Local Deformation Fields	Chuhan Chen · Matthew O’Toole · Gaurav Bharaj · Pablo Garrido	N/A	Code
Ensemble-Based Blackbox Attacks on Dense Prediction	Zikui Cai · Yaoteng Tan · M. Salman Asif	N/A	Code
NaQ: Leveraging Narrations As Queries To Supervise Episodic Memory	Santhosh Kumar Ramakrishnan · Ziad Al-Halah · Kristen Grauman	N/A	Code
Rethinking Federated Learning With Domain Shift: A Prototype View	Wenke Huang · Mang Ye · Zekun Shi · He Li · Bo Du	N/A	Code
Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation	Shao-Yuan Lo · Poojan Oza · Sumanth Chennupati · Alejandro Galindo · Vishal M. Patel	N/A	Code
Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection	Jiakang Yuan · Bo Zhang · Xiangchao Yan · Tao Chen · Botian Shi · Yikang Li · Yu Qiao	N/A	Code
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection	Zhenglin Zhou · Huaxia Li · Hong Liu · Nanyang Wang · Gang Yu · Rongrong Ji	N/A	Code
Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement	Xingqun Qi · Chen Liu · Muyi Sun · Lincheng Li · Changjie Fan · Xin Yu	N/A	Code
Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures	Linshan Wu · Zhun Zhong · Leyuan Fang · Xingxin He · Qiang Liu · Jiayi Ma · Hao Chen	N/A	Code
Visual Dependency Transformers: Dependency Tree Emerges From Reversed Attention	Mingyu Ding · Yikang Shen · Lijie Fan · Zhenfang Chen · Zitian Chen · Ping Luo · Joshua B. Tenenbaum · Chuang Gan	N/A	Code
Frame Flexible Network	Yitian Zhang · Yue Bai · Chang Liu · Huan Wang · Sheng Li · Yun Fu	N/A	Code
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks	Hao Li · Jinguo Zhu · Xiaohu Jiang · Xizhou Zhu · Hongsheng Li · Chun Yuan · Xiaohua Wang · Yu Qiao · Xiaogang Wang · Wenhai Wang · Jifeng Dai	N/A	Code
DCFace: Synthetic Face Generation With Dual Condition Diffusion Model	Minchul Kim · Feng Liu · Anil Jain · Xiaoming Liu	N/A	Code
Referring Image Matting	Jizhizi Li · Jing Zhang · Dacheng Tao	N/A	Code
Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids	Wei Dong · Christopher Choy · Charles Loop · Or Litany · Yuke Zhu · Anima Anandkumar	N/A	Code
DPE: Disentanglement of Pose and Expression for General Video Portrait Editing	Youxin Pang · Yong Zhang · Weize Quan · Yanbo Fan · Xiaodong Cun · Ying Shan · Dong-Ming Yan	N/A	Code
IDGI: A Framework To Eliminate Explanation Noise From Integrated Gradients	Ruo Yang · Binghui Wang · Mustafa Bilgic	N/A	Code
DynamicDet: A Unified Dynamic Architecture for Object Detection	Zhihao Lin · Yongtao Wang · Jinhe Zhang · Xiaojie Chu	N/A	Code
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification	Honglin Li · Chenglu Zhu · Yunlong Zhang · Yuxuan Sun · Zhongyi Shui · Wenwei Kuang · Sunyi Zheng · Lin Yang	N/A	Code
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution	Jaeill Kim · Suhyun Kang · Duhun Hwang · Jungwook Shin · Wonjong Rhee	N/A	Code
Semi-Weakly Supervised Object Kinematic Motion Prediction	Gengxin Liu · Qian Sun · Haibin Huang · Chongyang Ma · Yulan Guo · Li Yi · Hui Huang · Ruizhen Hu	N/A	Code
Computational Flash Photography Through Intrinsics	Sepideh Sarajian Maralan · Chris Careaga · Yağiz Aksoy	N/A	Code
Inversion-Based Style Transfer With Diffusion Models	Yuxin Zhang · Nisha Huang · Fan Tang · Haibin Huang · Chongyang Ma · Weiming Dong · Changsheng Xu	N/A	Code
Data-Driven Feature Tracking for Event Cameras	Nico Messikommer · Carter Fang · Mathias Gehrig · Davide Scaramuzza	N/A	Code
QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation	Sicheng Yang · Zhiyong Wu · Minglei Li · Zhensong Zhang · Lei Hao · Weihong Bao · Haolin Zhuang	N/A	Code
Neural Fourier Filter Bank	Zhijie Wu · Yuhe Jin · Kwang Moo Yi	N/A	Code
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective	Yuexiao Ma · Huixia Li · Xiawu Zheng · Xuefeng Xiao · Rui Wang · Shilei Wen · Xin Pan · Fei Chao · Rongrong Ji	N/A	Code
Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns	Javier Gamazo Tejero · Martin S. Zinkernagel · Sebastian Wolf · Raphael Sznitman · Pablo Márquez-Neila	N/A	Code
Trap Attention: Monocular Depth Estimation With Manual Traps	Chao Ning · Hongping Gan	N/A	Code
Physical-World Optical Adversarial Attacks on 3D Face Recognition	Yanjie Li · Yiquan Li · Xuelong Dai · Songtao Guo · Bin Xiao	N/A	Code
Re-Thinking Federated Active Learning Based on Inter-Class Diversity	SangMook Kim · Sangmin Bae · Hwanjun Song · Se-Young Yun	N/A	Code
EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets	Peng Liao · Yaochu Jin · Wenli Du	N/A	Code
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving	Lucas Nunes · Louis Wiesmann · Rodrigo Marcuzzi · Xieyuanli Chen · Jens Behley · Cyrill Stachniss	N/A	Code
Document Image Shadow Removal Guided by Color-Aware Background	Ling Zhang · Yinghao He · Qing Zhang · Zheng Liu · Xiaolong Zhang · Chunxia Xiao	N/A	Code
Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation	Yuanyuan Liu · Wenbin Wang · Yibing Zhan · Shaoze Feng · Kejun Liu · Zhe Chen	N/A	Code
Ham2Pose: Animating Sign Language Notation Into Pose Sequences	Rotem Shalev Arkushin · Amit Moryossef · Ohad Fried	N/A	Code
Resource-Efficient RGBD Aerial Tracking	Jinyu Yang · Shang Gao · Zhe Li · Feng Zheng · Aleš Leonardis	N/A	Code
Neural Transformation Fields for Arbitrary-Styled Font Generation	Bin Fu · Junjun He · Jianjun Wang · Yu Qiao	N/A	Code
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection	Qianjiang Hu · Daizong Liu · Wei Hu	N/A	Code
PAniC-3D: Stylized Single-View 3D Reconstruction From Portraits of Anime Characters	Shuhong Chen · Kevin Zhang · Yichun Shi · Heng Wang · Yiheng Zhu · Guoxian Song · Sizhe An · Janus Kristjansson · Xiao Yang · Matthias Zwicker	N/A	Code
HS-Pose: Hybrid Scope Feature Extraction for Category-Level Object Pose Estimation	Linfang Zheng · Chen Wang · Yinghan Sun · Esha Dasgupta · Hua Chen · Aleš Leonardis · Wei Zhang · Hyung Jin Chang	N/A	Code
A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction From In-the-Wild Images	Biwen Lei · Jianqiang Ren · Mengyang Feng · Miaomiao Cui · Xuansong Xie	N/A	Code
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification	Yue Yang · Artemis Panagopoulou · Shenghao Zhou · Daniel Jin · Chris Callison-Burch · Mark Yatskar	N/A	Code
SfM-TTR: Using Structure From Motion for Test-Time Refinement of Single-View Depth Networks	Sergio Izquierdo · Javier Civera	N/A	Code
TINC: Tree-Structured Implicit Neural Compression	Runzhao Yang	N/A	Code
Cross-Domain Image Captioning With Discriminative Finetuning	Roberto Dessì · Michele Bevilacqua · Eleonora Gualdoni · Nathanaël Carraz Rakotonirina · Francesca Franzon · Marco Baroni	N/A	Code
Learning To Detect Mirrors From Videos via Dual Correspondences	Jiaying Lin · Xin Tan · Rynson W.H. Lau	N/A	Code
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation	Zicheng Wang · Zhen Zhao · Xiaoxia Xing · Dong Xu · Xiangyu Kong · Luping Zhou	N/A	Code
Robust Unsupervised StyleGAN Image Restoration	Yohan Poirier-Ginter · Jean-François Lalonde	N/A	Code
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning	Rui Wang · Dongdong Chen · Zuxuan Wu · Yinpeng Chen · Xiyang Dai · Mengchen Liu · Lu Yuan · Yu-Gang Jiang	N/A	Code
Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes	Zian Wang · Tianchang Shen · Jun Gao · Shengyu Huang · Jacob Munkberg · Jon Hasselgren · Zan Gojcic · Wenzheng Chen · Sanja Fidler	N/A	Code
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation	Zhen Zhao · Lihe Yang · Sifan Long · Jimin Pi · Luping Zhou · Jingdong Wang	N/A	Code
Policy Adaptation From Foundation Model Feedback	Yuying Ge · Annabella Macaluso · Li Erran Li · Ping Luo · Xiaolong Wang	N/A	Code
Person Image Synthesis via Denoising Diffusion Model	Ankan Kumar Bhunia · Salman Khan · Hisham Cholakkal · Rao Muhammad Anwer · Jorma Laaksonen · Mubarak Shah · Fahad Shahbaz Khan	N/A	Code
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition With Pre-Trained Vision-Language Models	Wenhao Wu · Xiaohan Wang · Haipeng Luo · Jingdong Wang · Yi Yang · Wanli Ouyang	N/A	Code
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution	Jiezhang Cao · Qin Wang · Yongqin Xian · Yawei Li · Bingbing Ni · Zhiming Pi · Kai Zhang · Yulun Zhang · Radu Timofte · Luc Van Gool	N/A	Code
Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation	Phoenix Neale Williams · Ke Li	N/A	Code
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage	Haozhe Liu · Wentian Zhang · Bing Li · Haoqian Wu · Nanjun He · Yawen Huang · Yuexiang Li · Bernard Ghanem · Yefeng Zheng	N/A	Code
ViTs for SITS: Vision Transformers for Satellite Image Time Series	Michail Tarasiou · Erik Chavez · Stefanos Zafeiriou	N/A	Code
Latency Matters: Real-Time Action Forecasting Transformer	Harshayu Girase · Nakul Agarwal · Chiho Choi · Karttikeya Mangalam	N/A	Code
Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction	Oleg Voynov · Gleb Bobrovskikh · Pavel Karpyshev · Saveliy Galochkin · Andrei-Timotei Ardelean · Arseniy Bozhenko · Ekaterina Karmanova · Pavel Kopanev · Yaroslav Labutin-Rymsho · Ruslan Rakhimov · Aleksandr Safin · Valerii Serpiva · Alexey Artemov · Evgeny Burnaev · Dzmitry Tsetserukou · Denis Zorin	N/A	Code
Learning From Noisy Labels With Decoupled Meta Label Purifier	Yuanpeng Tu · Boshen Zhang · Yuxi Li · Liang Liu · Jian Li · Yabiao Wang · Chengjie Wang · Cai Rong Zhao	N/A	Code
Flow Supervision for Deformable NeRF	Chaoyang Wang · Lachlan Ewen MacDonald · László A. Jeni · Simon Lucey	N/A	Code
Unifying Vision, Text, and Layout for Universal Document Processing	Zineng Tang · Ziyi Yang · Guoxin Wang · Yuwei Fang · Yang Liu · Chenguang Zhu · Michael Zeng · Cha Zhang · Mohit Bansal	N/A	Code
BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos	Jennifer J. Sun · Lili Karashchuk · Amil Dravid · Serim Ryou · Sonia Fereidooni · John C. Tuthill · Aggelos Katsaggelos · Bingni W. Brunton · Georgia Gkioxari · Ann Kennedy · Yisong Yue · Pietro Perona	N/A	Code
Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning	Zixuan Hu · Li Shen · Zhenyi Wang · Tongliang Liu · Chun Yuan · Dacheng Tao	N/A	Code
RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis	Luwen Duan · Min Wu · Lijian Mao · Jun Yin · Jianping Xiong · Xi Li	N/A	Code
Meta Architecture for Point Cloud Analysis	Haojia Lin · Xiawu Zheng · Lijiang Li · Fei Chao · Shanshan Wang · Yan Wang · Yonghong Tian · Rongrong Ji	N/A	Code
DyLiN: Making Light Field Networks Dynamic	Heng Yu · Joel Julin · Zoltán Á. Milacski · Koichiro Niinuma · László A. Jeni	N/A	Code
OpenMix: Exploring Outlier Samples for Misclassification Detection	Fei Zhu · Zhen Cheng · Xu-Yao Zhang · Cheng-Lin Liu	N/A	Code
Adaptive Graph Convolutional Subspace Clustering	Lai Wei · Zhengwei Chen · Jun Yin · Changming Zhu · Rigui Zhou · Jin Liu	N/A	Code
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation	Guozhen Zhang · Yuhan Zhu · Haonan Wang · Youxin Chen · Gangshan Wu · Limin Wang	N/A	Code
Hybrid Active Learning via Deep Clustering for Video Action Detection	Aayush J. Rana · Yogesh S. Rawat	N/A	Code
Equiangular Basis Vectors	Yang Shen · Xuhao Sun · Xiu-Shen Wei	N/A	Code
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection	Shuailei Ma · Yuefeng Wang · Ying Wei · Jiaqi Fan · Thomas H. Li · Hongli Liu · Fanbing Lv	N/A	Code
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity	Zhao Xie · Tian Gao · Kewei Wu · Jiao Chang	N/A	Code
GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering	Weiqing Yan · Yuanyang Zhang · Chenlei Lv · Chang Tang · Guanghui Yue · Liang Liao · Weisi Lin	N/A	Code
Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning	Zesen Wu · Mang Ye	N/A	Code
Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding	Tal Shaharabany · Lior Wolf	N/A	Code
DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization	Richard Liu · Noam Aigerman · Vladimir G. Kim · Rana Hanocka	N/A	Code
BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency	Shuo Yang · Zhaopan Xu · Kai Wang · Yang You · Hongxun Yao · Tongliang Liu · Min Xu	N/A	Code
DaFKD: Domain-Aware Federated Knowledge Distillation	Haozhao Wang · Yichen Li · Wenchao Xu · Ruixuan Li · Yufeng Zhan · Zhigang Zeng	N/A	Code
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take	Ce Liu · Suryansh Kumar · Shuhang Gu · Radu Timofte · Luc Van Gool	N/A	Code
Align Your Latents: High-Resolution Video Synthesis With Latent Diffusion Models	Andreas Blattmann · Robin Rombach · Huan Ling · Tim Dockhorn · Seung Wook Kim · Sanja Fidler · Karsten Kreis	N/A	Code
GeoLayoutLM: Geometric Pre-Training for Visual Information Extraction	Chuwei Luo · Changxu Cheng · Qi Zheng · Cong Yao	N/A	Code
VideoMAE V2: Scaling Video Masked Autoencoders With Dual Masking	Limin Wang · Bingkun Huang · Zhiyu Zhao · Zhan Tong · Yinan He · Yi Wang · Yali Wang · Yu Qiao	N/A	Code
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment	Jiangbin Zheng · Yile Wang · Cheng Tan · Siyuan Li · Ge Wang · Jun Xia · Yidong Chen · Stan Z. Li	N/A	Code
All Are Worth Words: A ViT Backbone for Diffusion Models	Fan Bao · Shen Nie · Kaiwen Xue · Yue Cao · Chongxuan Li · Hang Su · Jun Zhu	N/A	Code
PanoSwin: A Pano-Style Swin Transformer for Panorama Understanding	Zhixin Ling · Zhen Xing · Xiangdong Zhou · Manliang Cao · Guichun Zhou	N/A	Code
sRGB Real Noise Synthesizing With Neighboring Correlation-Aware Noise Model	Zixuan Fu · Lanqing Guo · Bihan Wen	N/A	Code
Extracting Class Activation Maps From Non-Discriminative Features As Well	Zhaozheng Chen · Qianru Sun	N/A	Code
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task	Huiping Zhuang · Zhenyu Weng · Run He · Zhiping Lin · Ziqian Zeng	N/A	Code
ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer	Shen Lin · Xiaoyu Zhang · Chenyang Chen · Xiaofeng Chen · Willy Susilo	N/A	Code
PDPP:Projected Diffusion for Procedure Planning in Instructional Videos	Hanlin Wang · Yilu Wu · Sheng Guo · Limin Wang	N/A	Code
NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction	Bowen Cai · Jinchi Huang · Rongfei Jia · Chengfei Lv · Huan Fu	N/A	Code
Deep Polarization Reconstruction With PDAVIS Events	Haiyang Mei · Zuowen Wang · Xin Yang · Xiaopeng Wei · Tobi Delbruck	N/A	Code
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers	Sifan Long · Zhen Zhao · Jimin Pi · Shengsheng Wang · Jingdong Wang	N/A	Code
PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering	Fuchen Long · Ting Yao · Zhaofan Qiu · Lusong Li · Tao Mei	N/A	Code
PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning	Huiwei Lin · Baoquan Zhang · Shanshan Feng · Xutao Li · Yunming Ye	N/A	Code
Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval	Tan Pan · Furong Xu · Xudong Yang · Sifeng He · Chen Jiang · Qingpei Guo · Feng Qian · Xiaobo Zhang · Yuan Cheng · Lei Yang · Wei Chu	N/A	Code
PermutoSDF: Fast Multi-View Reconstruction With Implicit Surfaces Using Permutohedral Lattices	Radu Alexandru Rosu · Sven Behnke	N/A	Code
StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis	Hao Li · Xianxu Hou · Zepeng Huang · Linlin Shen	N/A	Code
MixNeRF: Modeling a Ray With Mixture Density for Novel View Synthesis From Sparse Inputs	Seunghyeon Seo · Donghoon Han · Yeonjin Chang · Nojun Kwak	N/A	Code
Upcycling Models Under Domain and Category Shift	Sanqing Qu · Tianpei Zou · Florian Röhrbein · Cewu Lu · Guang Chen · Dacheng Tao · Changjun Jiang	N/A	Code
Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors	Yongqiang Zhang · Zhipeng Hu · Haoqian Wu · Minda Zhao · Lincheng Li · Zhengxia Zou · Changjie Fan	N/A	Code
Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model	Yuming Du · Robin Kips · Albert Pumarola · Sebastian Starke · Ali Thabet · Artsiom Sanakoyeu	N/A	Code
MoStGAN-V: Video Generation With Temporal Motion Styles	Xiaoqian Shen · Xiang Li · Mohamed Elhoseiny	N/A	Code
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks	HyunJun Jung · Patrick Ruhkamp · Guangyao Zhai · Nikolas Brasch · Yitong Li · Yannick Verdie · Jifei Song · Yiren Zhou · Anil Armagan · Slobodan Ilic · Aleš Leonardis · Nassir Navab · Benjamin Busam	N/A	Code
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting	Aayush Kumar Tyagi · Chirag Mohapatra · Prasenjit Das · Govind Makharia · Lalita Mehra · Prathosh AP · Mausam	N/A	Code
Learning Action Changes by Measuring Verb-Adverb Textual Relationships	Davide Moltisanti · Frank Keller · Hakan Bilen · Laura Sevilla-Lara	N/A	Code
Interactive and Explainable Region-Guided Radiology Report Generation	Tim Tanida · Philip Müller · Georgios Kaissis · Daniel Rueckert	N/A	Code
Learning Neural Volumetric Representations of Dynamic Humans in Minutes	Chen Geng · Sida Peng · Zhen Xu · Hujun Bao · Xiaowei Zhou	N/A	Code
Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt	Hao Li · Dingwen Zhang · Nian Liu · Lechao Cheng · Yalun Dai · Chao Zhang · Xinggang Wang · Junwei Han	N/A	Code
Learning Rotation-Equivariant Features for Visual Correspondence	Jongmin Lee · Byungjin Kim · Seungwook Kim · Minsu Cho	N/A	Code
Co-Training 2L Submodels for Visual Recognition	Hugo Touvron · Matthieu Cord · Maxime Oquab · Piotr Bojanowski · Jakob Verbeek · Hervé Jégou	N/A	Code
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search	Jiechao Yang · Yong Liu · Hongteng Xu	N/A	Code
LANA: A Language-Capable Navigator for Instruction Following and Generation	Xiaohan Wang · Wenguan Wang · Jiayi Shao · Yi Yang	N/A	Code
Visual Localization Using Imperfect 3D Models From the Internet	Vojtech Panek · Zuzana Kukelova · Torsten Sattler	N/A	Code
Diversity-Measurable Anomaly Detection	Wenrui Liu · Hong Chang · Bingpeng Ma · Shiguang Shan · Xilin Chen	N/A	Code
SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization	Juliette Marrie · Michael Arbel · Diane Larlus · Julien Mairal	N/A	Code
Recurrent Vision Transformers for Object Detection With Event Cameras	Mathias Gehrig · Davide Scaramuzza	N/A	Code
Efficient Verification of Neural Networks Against LVM-Based Specifications	Harleen Hanspal · Alessio Lomuscio	N/A	Code
Neuralizer: General Neuroimage Analysis Without Re-Training	Steffen Czolbe · Adrian V. Dalca	N/A	Code
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning Meets Knowledge Distillation	Roy Miles · Mehmet Kerim Yucel · Bruno Manganelli · Albert Saà-Garriga	N/A	Code
SCOTCH and SODA: A Transformer Video Shadow Detection Framework	Lihao Liu · Jean Prost · Lei Zhu · Nicolas Papadakis · Pietro Liò · Carola-Bibiane Schönlieb · Angelica I. Aviles-Rivero	N/A	Code
A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance	Xianmin Xu · Yuxin Lin · Haoyang Zhou · Chong Zeng · Yaxin Yu · Kun Zhou · Hongzhi Wu	N/A	Code
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures	Eugenia Iofinova · Alexandra Peste · Dan Alistarh	N/A	Code
InstructPix2Pix: Learning To Follow Image Editing Instructions	Tim Brooks · Aleksander Holynski · Alexei A. Efros	N/A	Code
AnchorFormer: Point Cloud Completion From Discriminative Nodes	Zhikai Chen · Fuchen Long · Zhaofan Qiu · Ting Yao · Wengang Zhou · Jiebo Luo · Tao Mei	N/A	Code
Robust Test-Time Adaptation in Dynamic Scenarios	Longhui Yuan · Binhui Xie · Shuang Li	N/A	Code
AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers	Zechuan Li · Hongshan Yu · Zhengeng Yang · Tongjia Chen · Naveed Akhtar	N/A	Code
Neural Texture Synthesis With Guided Correspondence	Yang Zhou · Kaijian Chen · Rongjun Xiao · Hui Huang	N/A	Code
Learning To Render Novel Views From Wide-Baseline Stereo Pairs	Yilun Du · Cameron Smith · Ayush Tewari · Vincent Sitzmann	N/A	Code
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision	Fangqiang Ding · Andras Palffy · Dariu M. Gavrila · Chris Xiaoxuan Lu	N/A	Code
SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation	Rita Ramos · Bruno Martins · Desmond Elliott · Yova Kementchedjhieva	N/A	Code
PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers	Jiacong Xu · Zixiang Xiong · Shankar P. Bhattacharyya	N/A	Code
NeRFLight: Fast and Light Neural Radiance Fields Using a Shared Feature Grid	Fernando Rivas-Manzaneque · Jorge Sierra-Acosta · Adrian Penate-Sanchez · Francesc Moreno-Noguer · Angela Ribeiro	N/A	Code
Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts	Nikolas Lamb · Cameron Palmer · Benjamin Molloy · Sean Banerjee · Natasha Kholgade Banerjee	N/A	Code
PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration	Junle Yu · Luwei Ren · Yu Zhang · Wenhui Zhou · Lili Lin · Guojun Dai	N/A	Code
Neural Volumetric Memory for Visual Locomotion Control	Ruihan Yang · Ge Yang · Xiaolong Wang	N/A	Code
InstantAvatar: Learning Avatars From Monocular Video in 60 Seconds	Tianjian Jiang · Xu Chen · Jie Song · Otmar Hilliges	N/A	Code
TMO: Textured Mesh Acquisition of Objects With a Mobile Device by Using Differentiable Rendering	Jaehoon Choi · Dongki Jung · Taejae Lee · Sangwook Kim · Youngdong Jung · Dinesh Manocha · Donghwan Lee	N/A	Code
MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding	Jun Chen · Ming Hu · Darren J. Coker · Michael L. Berumen · Blair Costelloe · Sara Beery · Anna Rohrbach · Mohamed Elhoseiny	N/A	Code
Towards Fast Adaptation of Pretrained Contrastive Models for Multi-Channel Video-Language Retrieval	Xudong Lin · Simran Tiwari · Shiyuan Huang · Manling Li · Mike Zheng Shou · Heng Ji · Shih-Fu Chang	N/A	Code
Hierarchical Fine-Grained Image Forgery Detection and Localization	Xiao Guo · Xiaohong Liu · Zhiyuan Ren · Steven Grosz · Iacopo Masi · Xiaoming Liu	N/A	Code
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision	Xubo Liu · Egor Lakomkin · Konstantinos Vougioukas · Pingchuan Ma · Honglie Chen · Ruiming Xie · Morrie Doulaty · Niko Moritz · Jachym Kolar · Stavros Petridis · Maja Pantic · Christian Fuegen	N/A	Code
RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts	Han Liu · Yuhao Wu · Shixuan Zhai · Bo Yuan · Ning Zhang	N/A	Code
Unsupervised Intrinsic Image Decomposition With LiDAR Intensity	Shogo Sato · Yasuhiro Yao · Taiga Yoshida · Takuhiro Kaneko · Shingo Ando · Jun Shimamura	N/A	Code
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples	Han Liu · Yuhao Wu · Zhiyuan Yu · Yevgeniy Vorobeychik · Ning Zhang	N/A	Code
NeFII: Inverse Rendering for Reflectance Decomposition With Near-Field Indirect Illumination	Haoqian Wu · Zhipeng Hu · Lincheng Li · Yongqiang Zhang · Changjie Fan · Xin Yu	N/A	Code
BEV-Guided Multi-Modality Fusion for Driving Perception	Yunze Man · Liang-Yan Gui · Yu-Xiong Wang	N/A	Code
MAGVLT: Masked Generative Vision-and-Language Transformer	Sungwoong Kim · Daejin Jo · Donghoon Lee · Jongmin Kim	N/A	Code
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training	Qingjie Zeng · Yutong Xie · Zilin Lu · Yong Xia	N/A	Code
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning	Cheng-Hao Tu · Zheda Mai · Wei-Lun Chao	N/A	Code
Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning	Wenju Sun · Qingyong Li · Jing Zhang · Wen Wang · Yangli-ao Geng	N/A	Code
PMR: Prototypical Modal Rebalance for Multimodal Learning	Yunfeng Fan · Wenchao Xu · Haozhao Wang · Junxiao Wang · Song Guo	N/A	Code
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks	Samyak Jain · Sravanti Addepalli · Pawan Kumar Sahu · Priyam Dey · R. Venkatesh Babu	N/A	Code
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven’s Progressive Matrices	Jingyi Xu · Tushar Vaidya · Yufei Wu · Saket Chandra · Zhangsheng Lai · Kai Fong Ernest Chong	N/A	Code
Swept-Angle Synthetic Wavelength Interferometry	Alankar Kotwal · Anat Levin · Ioannis Gkioulekas	N/A	Code
Passive Micron-Scale Time-of-Flight With Sunlight Interferometry	Alankar Kotwal · Anat Levin · Ioannis Gkioulekas	N/A	Code
Meta-Learning With a Geometry-Adaptive Preconditioner	Suhyun Kang · Duhun Hwang · Moonjung Eo · Taesup Kim · Wonjong Rhee	N/A	Code
3D GAN Inversion With Facial Symmetry Prior	Fei Yin · Yong Zhang · Xuan Wang · Tengfei Wang · Xiaoyu Li · Yuan Gong · Yanbo Fan · Xiaodong Cun · Ying Shan · Cengiz Oztireli · Yujiu Yang	N/A	Code
ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection	Yongqi An · Xu Zhao · Tao Yu · Haiyun Guo · Chaoyang Zhao · Ming Tang · Jinqiao Wang	N/A	Code
Neural Lens Modeling	Wenqi Xian · Aljaž Božič · Noah Snavely · Christoph Lassner	N/A	Code
A Probabilistic Framework for Lifelong Test-Time Adaptation	Dhanajit Brahma · Piyush Rai	N/A	Code
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation	Linglan Zhao · Jing Lu · Yunlu Xu · Zhanzhan Cheng · Dashan Guo · Yi Niu · Xiangzhong Fang	N/A	Code
GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting	Kangyang Luo · Xiang Li · Yunshi Lan · Ming Gao	N/A	Code
Hyperspherical Embedding for Point Cloud Completion	Junming Zhang · Haomeng Zhang · Ram Vasudevan · Matthew Johnson-Roberson	N/A	Code
Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning	Hyesong Choi · Hunsang Lee · Wonil Song · Sangryul Jeon · Kwanghoon Sohn · Dongbo Min	N/A	Code
Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation	Sun-Ao Liu · Yiheng Zhang · Zhaofan Qiu · Hongtao Xie · Yongdong Zhang · Ting Yao	N/A	Code
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment	Heyuan Li · Bo Wang · Yu Cheng · Mohan Kankanhalli · Robby T. Tan	N/A	Code
SViTT: Temporal Learning of Sparse Video-Text Transformers	Yi Li · Kyle Min · Subarna Tripathi · Nuno Vasconcelos	N/A	Code
Independent Component Alignment for Multi-Task Learning	Dmitry Senushkin · Nikolay Patakin · Arseny Kuznetsov · Anton Konushin	N/A	Code
Logical Implications for Visual Question Answering Consistency	Sergio Tascon-Morales · Pablo Márquez-Neila · Raphael Sznitman	N/A	Code
MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset	Chen Feng · Ioannis Patras	N/A	Code
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks	Wenhui Wang · Hangbo Bao · Li Dong · Johan Bjorck · Zhiliang Peng · Qiang Liu · Kriti Aggarwal · Owais Khan Mohammed · Saksham Singhal · Subhojit Som · Furu Wei	N/A	Code
Manipulating Transfer Learning for Property Inference	Yulong Tian · Fnu Suya · Anshuman Suri · Fengyuan Xu · David Evans	N/A	Code
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium	Antyanta Bangunharcana · Ahmed Magd · Kyung-Soo Kim	N/A	Code
Learning a 3D Morphable Face Reflectance Model From Low-Cost Data	Yuxuan Han · Zhibo Wang · Feng Xu	N/A	Code
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions	Tobias Kalb · Jürgen Beyerer	N/A	Code
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models	Gowthami Somepalli · Vasu Singla · Micah Goldblum · Jonas Geiping · Tom Goldstein	N/A	Code
Adaptive Data-Free Quantization	Biao Qian · Yang Wang · Richang Hong · Meng Wang	N/A	Code
Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning	Sungnyun Kim · Sangmin Bae · Se-Young Yun	N/A	Code
Jedi: Entropy-Based Localization and Removal of Adversarial Patches	Bilel Tarchoun · Anouar Ben Khalifa · Mohamed Ali Mahjoub · Nael Abu-Ghazaleh · Ihsen Alouani	N/A	Code
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models	Qiucheng Wu · Yujian Liu · Handong Zhao · Ajinkya Kale · Trung Bui · Tong Yu · Zhe Lin · Yang Zhang · Shiyu Chang	N/A	Code
Semantic-Conditional Diffusion Networks for Image Captioning	Jianjie Luo · Yehao Li · Yingwei Pan · Ting Yao · Jianlin Feng · Hongyang Chao · Tao Mei	N/A	Code
Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation	Zhen Zhao · Sifan Long · Jimin Pi · Jingdong Wang · Luping Zhou	N/A	Code
Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation	Aakanksha Aakanksha · A. N. Rajagopalan	N/A	Code
MetaViewer: Towards a Unified Multi-View Representation	Ren Wang · Haoliang Sun · Yuling Ma · Xiaoming Xi · Yilong Yin	N/A	Code
Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization	Simone Barattin · Christos Tzelepis · Ioannis Patras · Nicu Sebe	N/A	Code
A Light Weight Model for Active Speaker Detection	Junhua Liao · Haihan Duan · Kanghui Feng · Wanbing Zhao · Yanbing Yang · Liangyin Chen	N/A	Code
Shifted Diffusion for Text-to-Image Generation	Yufan Zhou · Bingchen Liu · Yizhe Zhu · Xiao Yang · Changyou Chen · Jinhui Xu	N/A	Code
Modular Memorability: Tiered Representations for Video Memorability Prediction	Théo Dumont · Juan Segundo Hevia · Camilo L. Fosco	N/A	Code
Learning Articulated Shape With Keypoint Pseudo-Labels From Web Images	Anastasis Stathopoulos · Georgios Pavlakos · Ligong Han · Dimitris N. Metaxas	N/A	Code
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases	Abhipsa Basu · Sravanti Addepalli · R. Venkatesh Babu	N/A	Code
RealImpact: A Dataset of Impact Sound Fields for Real Objects	Samuel Clarke · Ruohan Gao · Mason Wang · Mark Rau · Julia Xu · Jui-Hsien Wang · Doug L. James · Jiajun Wu	N/A	Code
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models	Nilesh Ahuja · Parual Datta · Bhavya Kanzariya · V. Srinivasa Somayazulu · Omesh Tickoo	N/A	Code
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics	Jialu Li · Mohit Bansal	N/A	Code
Simulated Annealing in Early Layers Leads to Better Generalization	Amir M. Sarfi · Zahra Karimpour · Muawiz Chaudhary · Nasir M. Khalid · Mirco Ravanelli · Sudhir Mudur · Eugene Belilovsky	N/A	Code
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models	Jiaxian Guo · Junnan Li · Dongxu Li · Anthony Meng Huat Tiong · Boyang Li · Dacheng Tao · Steven Hoi	N/A	Code
Where We Are and What We’re Looking At: Query Based Worldwide Image Geo-Localization Using Hierarchies and Scenes	Brandon Clark · Alec Kerrigan · Parth Parag Kulkarni · Vicente Vivanco Cepeda · Mubarak Shah	N/A	Code
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language	Aditya Sanghi · Rao Fu · Vivian Liu · Karl D.D. Willis · Hooman Shayani · Amir H. Khasahmadi · Srinath Sridhar · Daniel Ritchie	N/A	Code
Learning To Generate Text-Grounded Mask for Open-World Semantic Segmentation From Only Image-Text Pairs	Junbum Cha · Jonghwan Mun · Byungseok Roh	N/A	Code
Imitation Learning As State Matching via Differentiable Physics	Siwei Chen · Xiao Ma · Zhongwen Xu	N/A	Code
BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models	Bo Li · Kaitao Xue · Bin Liu · Yu-Kun Lai	N/A	Code
CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning	Jianlong Wu · Haozhe Yang · Tian Gan · Ning Ding · Feijun Jiang · Liqiang Nie	N/A	Code
Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration	Divya Saxena · Jiannong Cao · Jiahao Xu · Tarun Kulshrestha	N/A	Code
Learning Debiased Representations via Conditional Attribute Interpolation	Yi-Kai Zhang · Qi-Wei Wang · De-Chuan Zhan · Han-Jia Ye	N/A	Code
Weakly Supervised Posture Mining for Fine-Grained Classification	Zhenchao Tang · Hualin Yang · Calvin Yu-Chian Chen	N/A	Code
Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models	Cheng Guo · Leidong Fan · Ziyu Xue · Xiuhua Jiang	N/A	Code
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models	Ajay Jain · Amber Xie · Pieter Abbeel	N/A	Code
Adversarial Robustness via Random Projection Filters	Minjing Dong · Chang Xu	N/A	Code
IEEE Computer Society	Unknown	N/A	Code
The Computer Vision Foundation	Unknown	N/A	Code

CVPR 2023

Title	Author	PDF_Link	Code_URL
SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation	Yen-Chi Cheng · Hsin-Ying Lee · Sergey Tulyakov · Alexander G. Schwing · Liang-Yan Gui	N/A	Code
Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring	Ruyang Liu · Jingjia Huang · Ge Li · Jiashi Feng · Xinglong Wu · Thomas H. Li	N/A	Code
Post-Processing Temporal Action Detection	Sauradip Nag · Xiatian Zhu · Yi-Zhe Song · Tao Xiang	N/A	Code
Learning Analytical Posterior Probability for Human Mesh Recovery	Qi Fang · Kang Chen · Yinghui Fan · Qing Shuai · Jiefeng Li · Weidong Zhang	N/A	Code
Accidental Light Probes	Hong-Xing Yu · Samir Agarwala · Charles Herrmann · Richard Szeliski · Noah Snavely · Jiajun Wu · Deqing Sun	N/A	Code
Multi-Object Manipulation via Object-Centric Neural Scattering Functions	Stephen Tian · Yancheng Cai · Hong-Xing Yu · Sergey Zakharov · Katherine Liu · Adrien Gaidon · Yunzhu Li · Jiajun Wu	N/A	Code
CFA: Class-Wise Calibrated Fair Adversarial Training	Zeming Wei · Yifei Wang · Yiwen Guo · Yisen Wang	N/A	Code
AutoAD: Movie Description in Context	Tengda Han · Max Bain · Arsha Nagrani · Gül Varol · Weidi Xie · Andrew Zisserman	N/A	Code
Relational Context Learning for Human-Object Interaction Detection	Sanghyun Kim · Deunsol Jung · Minsu Cho	N/A	Code
Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations	Hagay Michaeli · Tomer Michaeli · Daniel Soudry	N/A	Code
Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective	Xin Li · Bingchen Li · Xin Jin · Cuiling Lan · Zhibo Chen	N/A	Code
Iterative Vision-and-Language Navigation	Jacob Krantz · Shurjo Banerjee · Wang Zhu · Jason Corso · Peter Anderson · Stefan Lee · Jesse Thomason	N/A	Code
FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer	Zhijian Liu · Xinyu Yang · Haotian Tang · Shang Yang · Song Han	N/A	Code
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration	Sheng Ao · Qingyong Hu · Hanyun Wang · Kai Xu · Yulan Guo	N/A	Code
Learning Event Guided High Dynamic Range Video Reconstruction	Yixin Yang · Jin Han · Jinxiu Liang · Imari Sato · Boxin Shi	N/A	Code
3D Line Mapping Revisited	Shaohui Liu · Yifan Yu · Rémi Pautrat · Marc Pollefeys · Viktor Larsson	N/A	Code
High-Fidelity Event-Radiance Recovery via Transient Event Frequency	Jin Han · Yuta Asano · Boxin Shi · Yinqiang Zheng · Imari Sato	N/A	Code
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology	Jeongun Ryu · Aaron Valero Puche · JaeWoong Shin · Seonwook Park · Biagio Brattoli · Jinhee Lee · Wonkyung Jung · Soo Ick Cho · Kyunghyun Paeng · Chan-Young Ock · Donggeun Yoo · Sérgio Pereira	N/A	Code
Blur Interpolation Transformer for Real-World Motion From Blur	Zhihang Zhong · Mingdeng Cao · Xiang Ji · Yinqiang Zheng · Imari Sato	N/A	Code
Continuous Intermediate Token Learning With Implicit Motion Manifold for Keyframe Based Motion Interpolation	Clinton A. Mo · Kun Hu · Chengjiang Long · Zhiyong Wang	N/A	Code
Instant-NVR: Instant Neural Volumetric Rendering for Human-Object Interactions From Monocular RGBD Stream	Yuheng Jiang · Kaixin Yao · Zhuo Su · Zhehao Shen · Haimin Luo · Lan Xu	N/A	Code
HexPlane: A Fast Representation for Dynamic Scenes	Ang Cao · Justin Johnson	N/A	Code
Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models	Sachin Goyal · Ananya Kumar · Sankalp Garg · Zico Kolter · Aditi Raghunathan	N/A	Code
A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others	Zhiheng Li · Ivan Evtimov · Albert Gordo · Caner Hazirbas · Tal Hassner · Cristian Canton Ferrer · Chenliang Xu · Mark Ibrahim	N/A	Code
GIVL: Improving Geographical Inclusivity of Vision-Language Models With Pre-Training Methods	Da Yin · Feng Gao · Govind Thattai · Michael Johnston · Kai-Wei Chang	N/A	Code
Devil’s on the Edges: Selective Quad Attention for Scene Graph Generation	Deunsol Jung · Sanghyun Kim · Won Hwa Kim · Minsu Cho	N/A	Code
GeoMVSNet: Learning Multi-View Stereo With Geometry Perception	Zhe Zhang · Rui Peng · Yuxi Hu · Ronggang Wang	N/A	Code
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability	Fadi Boutros · Meiling Fang · Marcel Klemt · Biying Fu · Naser Damer	N/A	Code
NeuFace: Realistic 3D Neural Face Rendering From Multi-View Images	Mingwu Zheng · Haiyu Zhang · Hongyu Yang · Di Huang	N/A	Code
MethaneMapper: Spectral Absorption Aware Hyperspectral Transformer for Methane Detection	Satish Kumar · Ivan Arevalo · ASM Iftekhar · B S Manjunath	N/A	Code
Re-Thinking Model Inversion Attacks Against Deep Neural Networks	Ngoc-Bao Nguyen · Keshigeyan Chandrasegaran · Milad Abdollahzadeh · Ngai-Man Cheung	N/A	Code
SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency	Yang Liu · Yao Zhang · Yixin Wang · Yang Zhang · Jiang Tian · Zhongchao Shi · Jianping Fan · Zhiqiang He	N/A	Code
VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation	Bingchen Yang · Haiyong Jiang · Hao Pan · Jun Xiao	N/A	Code
MARLIN: Masked Autoencoder for Facial Video Representation LearnINg	Zhixi Cai · Shreya Ghosh · Kalin Stefanov · Abhinav Dhall · Jianfei Cai · Hamid Rezatofighi · Reza Haffari · Munawar Hayat	N/A	Code
KD-DLGAN: Data Limited Image Generation via Knowledge Distillation	Kaiwen Cui · Yingchen Yu · Fangneng Zhan · Shengcai Liao · Shijian Lu · Eric P. Xing	N/A	Code
Hierarchical Neural Memory Network for Low Latency Event Processing	Ryuhei Hamaguchi · Yasutaka Furukawa · Masaki Onishi · Ken Sakurada	N/A	Code
Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting	Wei Lin · Antoni B. Chan	N/A	Code
Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information	Weijie Su · Xizhou Zhu · Chenxin Tao · Lewei Lu · Bin Li · Gao Huang · Yu Qiao · Xiaogang Wang · Jie Zhou · Jifeng Dai	N/A	Code
Revisiting Reverse Distillation for Anomaly Detection	Tran Dinh Tien · Anh Tuan Nguyen · Nguyen Hoang Tran · Ta Duc Huy · Soan T.M. Duong · Chanh D. Tr. Nguyen · Steven Q. H. Truong	N/A	Code
Conditional Generation of Audio From Video via Foley Analogies	Yuexi Du · Ziyang Chen · Justin Salamon · Bryan Russell · Andrew Owens	N/A	Code
Parameter Efficient Local Implicit Image Function Network for Face Segmentation	Mausoom Sarkar · Nikitha SR · Mayur Hemani · Rishabh Jain · Balaji Krishnamurthy	N/A	Code
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform	Yutaro Shigeto · Masashi Shimbo · Yuya Yoshikawa · Akikazu Takeuchi	N/A	Code
FaceLit: Neural 3D Relightable Faces	Anurag Ranjan · Kwang Moo Yi · Jen-Hao Rick Chang · Oncel Tuzel	N/A	Code
Pointersect: Neural Rendering With Cloud-Ray Intersection	Jen-Hao Rick Chang · Wei-Yu Chen · Anurag Ranjan · Kwang Moo Yi · Oncel Tuzel	N/A	Code
High-Fidelity Clothed Avatar Reconstruction From a Single Image	Tingting Liao · Xiaomei Zhang · Yuliang Xiu · Hongwei Yi · Xudong Liu · Guo-Jun Qi · Yong Zhang · Xuan Wang · Xiangyu Zhu · Zhen Lei	N/A	Code
BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields	Peng Wang · Lingzhe Zhao · Ruijie Ma · Peidong Liu	N/A	Code
Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection	Berkan Demirel · Orhun Buğra Baran · Ramazan Gokberk Cinbis	N/A	Code
StyleRF: Zero-Shot 3D Style Transfer of Neural Radiance Fields	Kunhao Liu · Fangneng Zhan · Yiwen Chen · Jiahui Zhang · Yingchen Yu · Abdulmotaleb El Saddik · Shijian Lu · Eric P. Xing	N/A	Code
DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting	Maoyuan Ye · Jing Zhang · Shanshan Zhao · Juhua Liu · Tongliang Liu · Bo Du · Dacheng Tao	N/A	Code
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution	Jie-En Yao · Li-Yuan Tsao · Yi-Chen Lo · Roy Tseng · Chia-Che Chang · Chun-Yi Lee	N/A	Code
LAVENDER: Unifying Video-Language Understanding As Masked Language Modeling	Linjie Li · Zhe Gan · Kevin Lin · Chung-Ching Lin · Zicheng Liu · Ce Liu · Lijuan Wang	N/A	Code
Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution	Hao-Wei Chen · Yu-Syuan Xu · Min-Fong Hong · Yi-Min Tsai · Hsien-Kai Kuo · Chun-Yi Lee	N/A	Code
Fair Federated Medical Image Segmentation via Client Contribution Estimation	Meirui Jiang · Holger R. Roth · Wenqi Li · Dong Yang · Can Zhao · Vishwesh Nath · Daguang Xu · Qi Dou · Ziyue Xu	N/A	Code
An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling	Tsu-Jui Fu · Linjie Li · Zhe Gan · Kevin Lin · William Yang Wang · Lijuan Wang · Zicheng Liu	N/A	Code
ReCo: Region-Controlled Text-to-Image Generation	Zhengyuan Yang · Jianfeng Wang · Zhe Gan · Linjie Li · Kevin Lin · Chenfei Wu · Nan Duan · Zicheng Liu · Ce Liu · Michael Zeng · Lijuan Wang	N/A	Code
Uncertainty-Aware Vision-Based Metric Cross-View Geolocalization	Florian Fervers · Sebastian Bullinger · Christoph Bodensteiner · Michael Arens · Rainer Stiefelhagen	N/A	Code
LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation	Guangcong Zheng · Xianpan Zhou · Xuewei Li · Zhongang Qi · Ying Shan · Xi Li	N/A	Code
Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks	Yunrui Yu · Cheng-Zhong Xu	N/A	Code
NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation	Jiefeng Li · Siyuan Bian · Qi Liu · Jiasheng Tang · Fan Wang · Cewu Lu	N/A	Code
3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud	Mingtao Feng · Haoran Hou · Liang Zhang · Zijie Wu · Yulan Guo · Ajmal Mian	N/A	Code
Egocentric Auditory Attention Localization in Conversations	Fiona Ryan · Hao Jiang · Abhinav Shukla · James M. Rehg · Vamsi Krishna Ithapu	N/A	Code
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision	Jiahui Lei · Congyue Deng · Karl Schmeckpeper · Leonidas Guibas · Kostas Daniilidis	N/A	Code
Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning	Shi Chen · Qi Zhao	N/A	Code
Text-Visual Prompting for Efficient 2D Temporal Video Grounding	Yimeng Zhang · Xin Chen · Jinghan Jia · Sijia Liu · Ke Ding	N/A	Code
Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning	Youngjae Yu · Jiwan Chung · Heeseung Yun · Jack Hessel · Jae Sung Park · Ximing Lu · Rowan Zellers · Prithviraj Ammanabrolu · Ronan Le Bras · Gunhee Kim · Yejin Choi	N/A	Code
UniHCP: A Unified Model for Human-Centric Perceptions	Yuanzheng Ci · Yizhou Wang · Meilin Chen · Shixiang Tang · Lei Bai · Feng Zhu · Rui Zhao · Fengwei Yu · Donglian Qi · Wanli Ouyang	N/A	Code
VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval	Siteng Huang · Biao Gong · Yulin Pan · Jianwen Jiang · Yiliang Lv · Yuyuan Li · Donglin Wang	N/A	Code
PointConvFormer: Revenge of the Point-Based Convolution	Wenxuan Wu · Li Fuxin · Qi Shan	N/A	Code
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling	Hyo-Jun Lee · Hanul Kim · Su-Min Choi · Seong-Gyun Jeong · Yeong Jun Koh	N/A	Code
HumanBench: Towards General Human-Centric Perception With Projector Assisted Pretraining	Shixiang Tang · Cheng Chen · Qingsong Xie · Meilin Chen · Yizhou Wang · Yuanzheng Ci · Lei Bai · Feng Zhu · Haiyang Yang · Li Yi · Rui Zhao · Wanli Ouyang	N/A	Code
Local Connectivity-Based Density Estimation for Face Clustering	Junho Shin · Hyo-Jun Lee · Hyunseop Kim · Jong-Hyeon Baek · Daehyun Kim · Yeong Jun Koh	N/A	Code
DistilPose: Tokenized Pose Regression With Heatmap Distillation	Suhang Ye · Yingyi Zhang · Jie Hu · Liujuan Cao · Shengchuan Zhang · Lei Shen · Jun Wang · Shouhong Ding · Rongrong Ji	N/A	Code
Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks	Weihua Chen · Xianzhe Xu · Jian Jia · Hao Luo · Yaohua Wang · Fan Wang · Rong Jin · Xiuyu Sun	N/A	Code
ViPLO: Vision Transformer Based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection	Jeeseung Park · Jin-Woo Park · Jong-Seok Lee	N/A	Code
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale	Yuxin Fang · Wen Wang · Binhui Xie · Quan Sun · Ledell Wu · Xinggang Wang · Tiejun Huang · Xinlong Wang · Yue Cao	N/A	Code
I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs	Jingsen Zhu · Yuchi Huo · Qi Ye · Fujun Luan · Jifan Li · Dianbing Xi · Lisha Wang · Rui Tang · Wei Hua · Hujun Bao · Rui Wang	N/A	Code
DrapeNet: Garment Generation and Self-Supervised Draping	Luca De Luigi · Ren Li · Benoît Guillard · Mathieu Salzmann · Pascal Fua	N/A	Code
STMixer: A One-Stage Sparse Action Detector	Tao Wu · Mengqi Cao · Ziteng Gao · Gangshan Wu · Limin Wang	N/A	Code
Inverse Rendering of Translucent Objects Using Physical and Neural Renderers	Chenhao Li · Trung Thanh Ngo · Hajime Nagahara	N/A	Code
Humans As Light Bulbs: 3D Human Reconstruction From Thermal Reflection	Ruoshi Liu · Carl Vondrick	N/A	Code
CF-Font: Content Fusion for Few-Shot Font Generation	Chi Wang · Min Zhou · Tiezheng Ge · Yuning Jiang · Hujun Bao · Weiwei Xu	N/A	Code
GLeaD: Improving GANs With a Generator-Leading Task	Qingyan Bai · Ceyuan Yang · Yinghao Xu · Xihui Liu · Yujiu Yang · Yujun Shen	N/A	Code
StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments	Sean Kulinski · Nicholas R. Waytowich · James Z. Hare · David I. Inouye	N/A	Code
WIRE: Wavelet Implicit Neural Representations	Vishwanath Saragadam · Daniel LeJeune · Jasper Tan · Guha Balakrishnan · Ashok Veeraraghavan · Richard G. Baraniuk	N/A	Code
Thermal Spread Functions (TSF): Physics-Guided Material Classification	Aniket Dashpute · Vishwanath Saragadam · Emma Alexander · Florian Willomitzer · Aggelos Katsaggelos · Ashok Veeraraghavan · Oliver Cossairt	N/A	Code
Improving Zero-Shot Generalization and Robustness of Multi-Modal Models	Yunhao Ge · Jie Ren · Andrew Gallagher · Yuxiao Wang · Ming-Hsuan Yang · Hartwig Adam · Laurent Itti · Balaji Lakshminarayanan · Jiaping Zhao	N/A	Code
The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection	Geoffroi Côté · Fahim Mannan · Simon Thibault · Jean-François Lalonde · Felix Heide	N/A	Code
Federated Domain Generalization With Generalization Adjustment	Ruipeng Zhang · Qinwei Xu · Jiangchao Yao · Ya Zhang · Qi Tian · Yanfeng Wang	N/A	Code
Propagate and Calibrate: Real-Time Passive Non-Line-of-Sight Tracking	Yihao Wang · Zhigang Wang · Bin Zhao · Dong Wang · Mulin Chen · Xuelong Li	N/A	Code
Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network	Zhengxin Pan · Fangyu Wu · Bailing Zhang	N/A	Code
On the Benefits of 3D Pose and Tracking for Human Action Recognition	Jathushan Rajasegaran · Georgios Pavlakos · Angjoo Kanazawa · Christoph Feichtenhofer · Jitendra Malik	N/A	Code
Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations	Benjamin Ramtoula · Matthew Gadd · Paul Newman · Daniele De Martini	N/A	Code
Fine-Tuned CLIP Models Are Efficient Video Learners	Hanoona Rasheed · Muhammad Uzair Khattak · Muhammad Maaz · Salman Khan · Fahad Shahbaz Khan	N/A	Code
Connecting Vision and Language With Video Localized Narratives	Paul Voigtlaender · Soravit Changpinyo · Jordi Pont-Tuset · Radu Soricut · Vittorio Ferrari	N/A	Code
K-Planes: Explicit Radiance Fields in Space, Time, and Appearance	Sara Fridovich-Keil · Giacomo Meanti · Frederik Rahbæk Warburg · Benjamin Recht · Angjoo Kanazawa	N/A	Code
Virtual Occlusions Through Implicit Depth	Jamie Watson · Mohamed Sayed · Zawar Qureshi · Gabriel J. Brostow · Sara Vicente · Oisin Mac Aodha · Michael Firman	N/A	Code
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories	Samarth Sinha · Roman Shapovalov · Jeremy Reizenstein · Ignacio Rocco · Natalia Neverova · Andrea Vedaldi · David Novotny	N/A	Code
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising	Zichun Wang · Ying Fu · Ji Liu · Yulun Zhang	N/A	Code
One-Shot High-Fidelity Talking-Head Synthesis With Deformable Neural Radiance Field	Weichuang Li · Longhao Zhang · Dong Wang · Bin Zhao · Zhigang Wang · Mulin Chen · Bang Zhang · Zhongjian Wang · Liefeng Bo · Xuelong Li	N/A	Code
Collaborative Diffusion for Multi-Modal Face Generation and Editing	Ziqi Huang · Kelvin C.K. Chan · Yuming Jiang · Ziwei Liu	N/A	Code
Blind Video Deflickering by Neural Filtering With a Flawed Atlas	Chenyang Lei · Xuanchi Ren · Zhaoxiang Zhang · Qifeng Chen	N/A	Code
RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension	Jiamu Sun · Gen Luo · Yiyi Zhou · Xiaoshuai Sun · Guannan Jiang · Zhiyu Wang · Rongrong Ji	N/A	Code
HNeRV: A Hybrid Neural Representation for Videos	Hao Chen · Matthew Gwilliam · Ser-Nam Lim · Abhinav Shrivastava	N/A	Code
Learning 3D-Aware Image Synthesis With Unknown Pose Distribution	Zifan Shi · Yujun Shen · Yinghao Xu · Sida Peng · Yiyi Liao · Sheng Guo · Qifeng Chen · Dit-Yan Yeung	N/A	Code
DynaFed: Tackling Client Data Heterogeneity With Global Dynamics	Renjie Pi · Weizhong Zhang · Yueqi Xie · Jiahui Gao · Xiaoyu Wang · Sunghun Kim · Qifeng Chen	N/A	Code
Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition	Jun Cen · Shiwei Zhang · Xiang Wang · Yixuan Pei · Zhiwu Qing · Yingya Zhang · Qifeng Chen	N/A	Code
RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion	Tengfei Wang · Bo Zhang · Ting Zhang · Shuyang Gu · Jianmin Bao · Tadas Baltrusaitis · Jingjing Shen · Dong Chen · Fang Wen · Qifeng Chen · Baining Guo	N/A	Code
IFSeg: Image-Free Semantic Segmentation via Vision-Language Model	Sukmin Yun · Seong Hyeon Park · Paul Hongsuck Seo · Jinwoo Shin	N/A	Code
Detecting Everything in the Open World: Towards Universal Object Detection	Zhenyu Wang · Yali Li · Xi Chen · Ser-Nam Lim · Antonio Torralba · Hengshuang Zhao · Shengjin Wang	N/A	Code
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations	Ziyan Yang · Kushal Kafle · Franck Dernoncourt · Vicente Ordonez	N/A	Code
Temporally Consistent Online Depth Estimation Using Point-Based Fusion	Numair Khan · Eric Penner · Douglas Lanman · Lei Xiao	N/A	Code
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions	Juze Zhang · Haimin Luo · Hongdi Yang · Xinru Xu · Qianyang Wu · Ye Shi · Jingyi Yu · Lan Xu · Jingya Wang	N/A	Code
Token Turing Machines	Michael S. Ryoo · Keerthana Gopalakrishnan · Kumara Kahatapitiya · Ted Xiao · Kanishka Rao · Austin Stone · Yao Lu · Julian Ibarz · Anurag Arnab	N/A	Code
Computationally Budgeted Continual Learning: What Does Matter?	Ameya Prabhu · Hasan Abed Al Kader Hammoud · Puneet K. Dokania · Philip H.S. Torr · Ser-Nam Lim · Bernard Ghanem · Adel Bibi	N/A	Code
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search	Fahad Shamshad · Muzammal Naseer · Karthik Nandakumar	N/A	Code
Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation From Image Sequence	Yang Tian · Jiyao Zhang · Zekai Yin · Hao Dong	N/A	Code
Affordances From Human Videos as a Versatile Representation for Robotics	Shikhar Bahl · Russell Mendonca · Lili Chen · Unnat Jain · Deepak Pathak	N/A	Code
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation	Yong Yang · Qiong Chen · Yuan Feng · Tianlin Huang	N/A	Code
Learning To Generate Image Embeddings With User-Level Differential Privacy	Zheng Xu · Maxwell Collins · Yuxiao Wang · Liviu Panait · Sewoong Oh · Sean Augenstein · Ting Liu · Florian Schroff · H. Brendan McMahan	N/A	Code
Genie: Show Me the Data for Quantization	Yongkweon Jeon · Chungman Lee · Ho-young Kim	N/A	Code
DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets	Haiyang Wang · Chen Shi · Shaoshuai Shi · Meng Lei · Sen Wang · Di He · Bernt Schiele · Liwei Wang	N/A	Code
Transformer-Based Learned Optimization	Erik Gärtner · Luke Metz · Mykhaylo Andriluka · C. Daniel Freeman · Cristian Sminchisescu	N/A	Code
Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data	Youssef Mansour · Reinhard Heckel	N/A	Code
Super-Resolution Neural Operator	Min Wei · Xuesong Zhang	N/A	Code
StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping	Diqiong Jiang · Dan Song · Ruofeng Tong · Min Tang	N/A	Code
Self-Supervised Blind Motion Deblurring With Deep Expectation Maximization	Ji Li · Weixi Wang · Yuesong Nan · Hui Ji	N/A	Code
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization	Junyi Zhu · Xingchen Ma · Matthew B. Blaschko	N/A	Code
Human Pose As Compositional Tokens	Zigang Geng · Chunyu Wang · Yixuan Wei · Ze Liu · Houqiang Li · Han Hu	N/A	Code
GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training	Xiaoyu Tian · Haoxi Ran · Yue Wang · Hang Zhao	N/A	Code
RUST: Latent Neural Scene Representations From Unposed Imagery	Mehdi S. M. Sajjadi · Aravindh Mahendran · Thomas Kipf · Etienne Pot · Daniel Duckworth · Mario Lučić · Klaus Greff	N/A	Code
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation	Maan Qraitem · Kate Saenko · Bryan A. Plummer	N/A	Code
V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting	Haibao Yu · Wenxian Yang · Hongzhi Ruan · Zhenwei Yang · Yingjuan Tang · Xu Gao · Xin Hao · Yifeng Shi · Yifeng Pan · Ning Sun · Juan Song · Jirui Yuan · Ping Luo · Zaiqing Nie	N/A	Code
Conditional Image-to-Video Generation With Latent Flow Diffusion Models	Haomiao Ni · Changhao Shi · Kai Li · Sharon X. Huang · Martin Renqiang Min	N/A	Code
Anchor3DLane: Learning To Regress 3D Anchors for Monocular 3D Lane Detection	Shaofei Huang · Zhenwei Shen · Zehao Huang · Zi-han Ding · Jiao Dai · Jizhong Han · Naiyan Wang · Si Liu	N/A	Code
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds	Aoran Xiao · Jiaxing Huang · Weihao Xuan · Ruijie Ren · Kangcheng Liu · Dayan Guan · Abdulmotaleb El Saddik · Shijian Lu · Eric P. Xing	N/A	Code
NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action	Kuan-Chieh Wang · Zhenzhen Weng · Maria Xenochristou · João Pedro Araújo · Jeffrey Gu · Karen Liu · Serena Yeung	N/A	Code
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning	Xiaocheng Lu · Song Guo · Ziming Liu · Jingcai Guo	N/A	Code
iDisc: Internal Discretization for Monocular Depth Estimation	Luigi Piccinelli · Christos Sakaridis · Fisher Yu	N/A	Code
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy	Yinzhen Xu · Weikang Wan · Jialiang Zhang · Haoran Liu · Zikang Shan · Hao Shen · Ruicheng Wang · Haoran Geng · Yijia Weng · Jiayi Chen · Tengyu Liu · Li Yi · He Wang	N/A	Code
PolyFormer: Referring Image Segmentation As Sequential Polygon Generation	Jiang Liu · Hui Ding · Zhaowei Cai · Yuting Zhang · Ravi Kumar Satzoda · Vijay Mahadevan · R. Manmatha	N/A	Code
Interactive Segmentation of Radiance Fields	Rahul Goel · Dhawal Sirikonda · Saurabh Saini · P. J. Narayanan	N/A	Code
PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees	Jinghuai Zhang · Jinyuan Jia · Hongbin Liu · Neil Zhenqiang Gong	N/A	Code
Indiscernible Object Counting in Underwater Scenes	Guolei Sun · Zhaochong An · Yun Liu · Ce Liu · Christos Sakaridis · Deng-Ping Fan · Luc Van Gool	N/A	Code
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions	Yong Guo · David Stutz · Bernt Schiele	N/A	Code
Real-Time Multi-Person Eyeblink Detection in the Wild for Untrimmed Video	Wenzheng Zeng · Yang Xiao · Sicheng Wei · Jinfang Gan · Xintao Zhang · Zhiguo Cao · Zhiwen Fang · Joey Tianyi Zhou	N/A	Code
BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points	Ruihao Wang · Jian Qin · Kaiying Li · Yaochen Li · Dong Cao · Jintao Xu	N/A	Code
Infinite Photorealistic Worlds Using Procedural Generation	Alexander Raistrick · Lahav Lipson · Zeyu Ma · Lingjie Mei · Mingzhe Wang · Yiming Zuo · Karhan Kayan · Hongyu Wen · Beining Han · Yihan Wang · Alejandro Newell · Hei Law · Ankit Goyal · Kaiyu Yang · Jia Deng	N/A	Code
High-Fidelity 3D Human Digitization From Single 2K Resolution Images	Sang-Hun Han · Min-Gyu Park · Ju Hong Yoon · Ju-Mi Kang · Young-Jae Park · Hae-Gon Jeon	N/A	Code
GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis	Ming Tao · Bing-Kun Bao · Hao Tang · Changsheng Xu	N/A	Code
Language-Guided Audio-Visual Source Separation via Trimodal Consistency	Reuben Tan · Arijit Ray · Andrea Burns · Bryan A. Plummer · Justin Salamon · Oriol Nieto · Bryan Russell · Kate Saenko	N/A	Code
Probabilistic Debiasing of Scene Graphs	Bashirul Azam Biswas · Qiang Ji	N/A	Code
PVO: Panoptic Visual Odometry	Weicai Ye · Xinyue Lan · Shuo Chen · Yuhang Ming · Xingyuan Yu · Hujun Bao · Zhaopeng Cui · Guofeng Zhang	N/A	Code
Superclass Learning With Representation Enhancement	Zeyu Gan · Suyun Zhao · Jinlong Kang · Liyuan Shang · Hong Chen · Cuiping Li	N/A	Code
GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts	Haoran Geng · Helin Xu · Chengyang Zhao · Chao Xu · Li Yi · Siyuan Huang · He Wang	N/A	Code
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation	Liyan Chen · Weihan Wang · Philippos Mordohai	N/A	Code
Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations	Thomas Tanay · Aleš Leonardis · Matteo Maggioni	N/A	Code
Large-Capacity and Flexible Video Steganography via Invertible Neural Network	Chong Mou · Youmin Xu · Jiechong Song · Chen Zhao · Bernard Ghanem · Jian Zhang	N/A	Code
Generating Part-Aware Editable 3D Shapes Without 3D Supervision	Konstantinos Tertikas · Despoina Paschalidou · Boxiao Pan · Jeong Joon Park · Mikaela Angelina Uy · Ioannis Emiris · Yannis Avrithis · Leonidas Guibas	N/A	Code
Vision Transformer With Super Token Sampling	Huaibo Huang · Xiaoqiang Zhou · Jie Cao · Ran He · Tieniu Tan	N/A	Code
Renderable Neural Radiance Map for Visual Navigation	Obin Kwon · Jeongho Park · Songhwai Oh	N/A	Code
Learning Compact Representations for LiDAR Completion and Generation	Yuwen Xiong · Wei-Chiu Ma · Jingkang Wang · Raquel Urtasun	N/A	Code
CoMFormer: Continual Learning in Semantic and Panoptic Segmentation	Fabio Cermelli · Matthieu Cord · Arthur Douillard	N/A	Code
A Bag-of-Prototypes Representation for Dataset-Level Applications	Weijie Tu · Weijian Deng · Tom Gedeon · Liang Zheng	N/A	Code
Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training	Yuting He · Guanyu Yang · Rongjun Ge · Yang Chen · Jean-Louis Coatrieux · Boyu Wang · Shuo Li	N/A	Code
Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network	Zhicheng Zhang · Lijuan Wang · Jufeng Yang	N/A	Code
CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning	James Seale Smith · Leonid Karlinsky · Vyshnavi Gutta · Paola Cascante-Bonilla · Donghyun Kim · Assaf Arbelle · Rameswar Panda · Rogerio Feris · Zsolt Kira	N/A	Code
CodeTalker: Speech-Driven 3D Facial Animation With Discrete Motion Prior	Jinbo Xing · Menghan Xia · Yuechen Zhang · Xiaodong Cun · Jue Wang · Tien-Tsin Wong	N/A	Code
VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction	Yufan Ren · Fangjinhua Wang · Tong Zhang · Marc Pollefeys · Sabine Süsstrunk	N/A	Code
NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation	Haoqian Wu · Keyu Chen · Haozhe Liu · Mingchen Zhuge · Bing Li · Ruizhi Qiao · Xiujun Shu · Bei Gan · Liangsheng Xu · Bo Ren · Mengmeng Xu · Wentian Zhang · Raghavendra Ramachandra · Chia-Wen Lin · Bernard Ghanem	N/A	Code
Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization	Yuechen Zhang · Zexin He · Jinbo Xing · Xufeng Yao · Jiaya Jia	N/A	Code
GANmouflage: 3D Object Nondetection With Texture Fields	Rui Guo · Jasmine Collins · Oscar de Lima · Andrew Owens	N/A	Code
GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning	Zhenyu Xie · Zaiyu Huang · Xin Dong · Fuwei Zhao · Haoye Dong · Xijin Zhang · Feida Zhu · Xiaodan Liang	N/A	Code
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection	Xuan Zhang · Shiyu Li · Xi Li · Ping Huang · Jiulong Shan · Ting Chen	N/A	Code
Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images	Xindi Wu · KwunFung Lau · Francesco Ferroni · Aljoša Ošep · Deva Ramanan	N/A	Code
Beyond mAP: Towards Better Evaluation of Instance Segmentation	Rohit Jena · Lukas Zhornyak · Nehal Doiphode · Pratik Chaudhari · Vivek Buch · James Gee · Jianbo Shi	N/A	Code
Federated Learning With Data-Agnostic Distribution Fusion	Jian-hui Duan · Wenzhong Li · Derun Zou · Ruichen Li · Sanglu Lu	N/A	Code
Make-a-Story: Visual Memory Conditioned Consistent Story Generation	Tanzila Rahman · Hsin-Ying Lee · Jian Ren · Sergey Tulyakov · Shweta Mahajan · Leonid Sigal	N/A	Code
Scalable, Detailed and Mask-Free Universal Photometric Stereo	Satoshi Ikehata	N/A	Code
ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling	Xinglin Li · Jiajing Chen · Jinhui Ouyang · Hanhui Deng · Senem Velipasalar · Di Wu	N/A	Code
Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields	Yue Chen · Xingyu Chen · Xuan Wang · Qi Zhang · Yu Guo · Ying Shan · Fei Wang	N/A	Code
UV Volumes for Real-Time Rendering of Editable Free-View Human Performance	Yue Chen · Xuan Wang · Xingyu Chen · Qi Zhang · Xiaoyu Li · Yu Guo · Jue Wang · Fei Wang	N/A	Code
SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries	Ahmed Imtiaz Humayun · Randall Balestriero · Guha Balakrishnan · Richard G. Baraniuk	N/A	Code
Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble	Chun-Han Yao · Wei-Chih Hung · Yuanzhen Li · Michael Rubinstein · Ming-Hsuan Yang · Varun Jampani	N/A	Code
VisFusion: Visibility-Aware Online 3D Scene Reconstruction From Videos	Huiyu Gao · Wei Mao · Miaomiao Liu	N/A	Code
Unsupervised Volumetric Animation	Aliaksandr Siarohin · Willi Menapace · Ivan Skorokhodov · Kyle Olszewski · Jian Ren · Hsin-Ying Lee · Menglei Chai · Sergey Tulyakov	N/A	Code
DKM: Dense Kernelized Feature Matching for Geometry Estimation	Johan Edstedt · Ioannis Athanasiadis · Mårten Wadenbäck · Michael Felsberg	N/A	Code
All in One: Exploring Unified Video-Language Pre-Training	Jinpeng Wang · Yixiao Ge · Rui Yan · Yuying Ge · Kevin Qinghong Lin · Satoshi Tsutsui · Xudong Lin · Guanyu Cai · Jianping Wu · Ying Shan · Xiaohu Qie · Mike Zheng Shou	N/A	Code
Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild	Yanhao Wu · Tong Zhang · Wei Ke · Sabine Süsstrunk · Mathieu Salzmann	N/A	Code
DynIBaR: Neural Dynamic Image-Based Rendering	Zhengqi Li · Qianqian Wang · Forrester Cole · Richard Tucker · Noah Snavely	N/A	Code
Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container	Jinguang Tong · Sundaram Muthu · Fahira Afzal Maken · Chuong Nguyen · Hongdong Li	N/A	Code
JAWS: Just a Wild Shot for Cinematic Transfer in Neural Radiance Fields	Xi Wang · Robin Courant · Jinglei Shi · Eric Marchand · Marc Christie	N/A	Code
CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes	Harshil Bhatia · Edith Tretschk · Zorah Lähner · Marcel Seelbach Benkner · Michael Moeller · Christian Theobalt · Vladislav Golyanik	N/A	Code
NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations	Joy Hsu · Jiayuan Mao · Jiajun Wu	N/A	Code
TempSAL – Uncovering Temporal Information for Deep Saliency Prediction	Bahar Aydemir · Ludo Hoffstetter · Tong Zhang · Mathieu Salzmann · Sabine Süsstrunk	N/A	Code
BiasBed – Rigorous Texture Bias Evaluation	Nikolai Kalischek · Rodrigo Caye Daudt · Torben Peters · Reinhard Furrer · Jan D. Wegner · Konrad Schindler	N/A	Code
Real-Time Neural Light Field on Mobile Devices	Junli Cao · Huan Wang · Pavlo Chemerys · Vladislav Shakhrai · Ju Hu · Yun Fu · Denys Makoviichuk · Sergey Tulyakov · Jian Ren	N/A	Code
Where Is My Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization	Mengmeng Xu · Yanghao Li · Cheng-Yang Fu · Bernard Ghanem · Tao Xiang · Juan-Manuel Pérez-Rúa	N/A	Code
DiffusionRig: Learning Personalized Priors for Facial Appearance Editing	Zheng Ding · Xuaner Zhang · Zhihao Xia · Lars Jebe · Zhuowen Tu · Xiuming Zhang	N/A	Code
Neural Scene Chronology	Haotong Lin · Qianqian Wang · Ruojin Cai · Sida Peng · Hadar Averbuch-Elor · Xiaowei Zhou · Noah Snavely	N/A	Code
Diversity-Aware Meta Visual Prompting	Qidong Huang · Xiaoyi Dong · Dongdong Chen · Weiming Zhang · Feifei Wang · Gang Hua · Nenghai Yu	N/A	Code
Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses	Kunal Chelani · Torsten Sattler · Fredrik Kahl · Zuzana Kukelova	N/A	Code
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers	Bin Ren · Yahui Liu · Yue Song · Wei Bi · Rita Cucchiara · Nicu Sebe · Wei Wang	N/A	Code
Box-Level Active Detection	Mengyao Lyu · Jundong Zhou · Hui Chen · Yijie Huang · Dongdong Yu · Yaqian Li · Yandong Guo · Yuchen Guo · Liuyu Xiang · Guiguang Ding	N/A	Code
Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples	Jiaming Zhang · Xingjun Ma · Qi Yi · Jitao Sang · Yu-Gang Jiang · Yaowei Wang · Changsheng Xu	N/A	Code
Generalized Relation Modeling for Transformer Tracking	Shenyuan Gao · Chunluan Zhou · Jun Zhang	N/A	Code
Mofusion: A Framework for Denoising-Diffusion-Based Motion Synthesis	Rishabh Dabral · Muhammad Hamza Mughal · Vladislav Golyanik · Christian Theobalt	N/A	Code
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective	Jinjing Zhu · Haotian Bai · Lin Wang	N/A	Code
Distilling Neural Fields for Real-Time Articulated Shape Reconstruction	Jeff Tan · Gengshan Yang · Deva Ramanan	N/A	Code
Sampling Is Matter: Point-Guided 3D Human Mesh Reconstruction	Jeonghwan Kim · Mi-Gyeong Gwon · Hyunwoo Park · Hyukmin Kwon · Gi-Mun Um · Wonjun Kim	N/A	Code
Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding	Haoxuan Che · Siyu Chen · Hao Chen	N/A	Code
Towards Practical Plug-and-Play Diffusion Models	Hyojun Go · Yunsung Lee · Jin-Young Kim · Seunghyun Lee · Myeongho Jeong · Hyun Seung Lee · Seungtaek Choi	N/A	Code
HRDFuse: Monocular 360° Depth Estimation by Collaboratively Learning Holistic-With-Regional Depth Distributions	Hao Ai · Zidong Cao · Yan-Pei Cao · Ying Shan · Lin Wang	N/A	Code
KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation	Xiangyang Li · Zihan Wang · Jiahao Yang · Yaowei Wang · Shuqiang Jiang	N/A	Code
Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction	Yuanhui Huang · Wenzhao Zheng · Yunpeng Zhang · Jie Zhou · Jiwen Lu	N/A	Code
EventNeRF: Neural Radiance Fields From a Single Colour Event Camera	Viktor Rudnev · Mohamed Elgharib · Christian Theobalt · Vladislav Golyanik	N/A	Code
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling	Zhanhao Hu · Wenda Chu · Xiaopei Zhu · Hui Zhang · Bo Zhang · Xiaolin Hu	N/A	Code
Global Vision Transformer Pruning With Hessian-Aware Saliency	Huanrui Yang · Hongxu Yin · Maying Shen · Pavlo Molchanov · Hai Li · Jan Kautz	N/A	Code
3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention	Zhenhua Tang · Zhaofan Qiu · Yanbin Hao · Richang Hong · Ting Yao	N/A	Code
Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution	Yunfan Lu · Zipeng Wang · Minjie Liu · Hongjian Wang · Lin Wang	N/A	Code
StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer	Sasikarn Khwanmuang · Pakkapon Phongthawee · Patsorn Sangkloy · Supasorn Suwajanakorn	N/A	Code
ShapeClipper: Scalable 3D Shape Learning From Single-View Images via Geometric and CLIP-Based Consistency	Zixuan Huang · Varun Jampani · Anh Thai · Yuanzhen Li · Stefan Stojanov · James M. Rehg	N/A	Code
Efficient Scale-Invariant Generator With Column-Row Entangled Pixel Synthesis	Thuan Hoang Nguyen · Thanh Van Le · Anh Tran	N/A	Code
Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization	Chunghwan Lee · Jaihoon Kim · Chanhyuk Yun · Je Hyeong Hong	N/A	Code
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation	Xu Zheng · Jinjing Zhu · Yexin Liu · Zidong Cao · Chong Fu · Lin Wang	N/A	Code
Adaptive Human Matting for Dynamic Videos	Chung-Ching Lin · Jiang Wang · Kun Luo · Kevin Lin · Linjie Li · Lijuan Wang · Zicheng Liu	N/A	Code
High-Fidelity Facial Avatar Reconstruction From Monocular Video With Generative Priors	Yunpeng Bai · Yanbo Fan · Xuan Wang · Yong Zhang · Jingxiang Sun · Chun Yuan · Ying Shan	N/A	Code
Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint	Shikang Yu · Jiachen Chen · Hu Han · Shuqiang Jiang	N/A	Code
Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes	Jihyun Lee · Minhyuk Sung · Honggyu Choi · Tae-Kyun Kim	N/A	Code
MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos	Zicheng Zhang · Wei Wu · Wei Sun · Danyang Tu · Wei Lu · Xiongkuo Min · Ying Chen · Guangtao Zhai	N/A	Code
Make Landscape Flatter in Differentially Private Federated Learning	Yifan Shi · Yingqi Liu · Kang Wei · Li Shen · Xueqian Wang · Dacheng Tao	N/A	Code
A Large-Scale Robustness Analysis of Video Action Recognition Models	Madeline Chantry Schiappa · Naman Biyani · Prudvi Kamtam · Shruti Vyas · Hamid Palangi · Vibhav Vineet · Yogesh S. Rawat	N/A	Code
Multi-Concept Customization of Text-to-Image Diffusion	Nupur Kumari · Bingliang Zhang · Richard Zhang · Eli Shechtman · Jun-Yan Zhu	N/A	Code
GANHead: Towards Generative Animatable Neural Head Avatars	Sijing Wu · Yichao Yan · Yunhao Li · Yuhao Cheng · Wenhan Zhu · Ke Gao · Xiaobo Li · Guangtao Zhai	N/A	Code
Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition	Xinghan Wang · Xin Xu · Yadong Mu	N/A	Code
Hierarchical B-Frame Video Coding Using Two-Layer CANF Without Motion Coding	David Alexandre · Hsueh-Ming Hang · Wen-Hsiao Peng	N/A	Code
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER	Ce Zheng · Matias Mendieta · Taojiannan Yang · Guo-Jun Qi · Chen Chen	N/A	Code
Delivering Arbitrary-Modal Semantic Segmentation	Jiaming Zhang · Ruiping Liu · Hao Shi · Kailun Yang · Simon Reiß · Kunyu Peng · Haodong Fu · Kaiwei Wang · Rainer Stiefelhagen	N/A	Code
Deep Graph-Based Spatial Consistency for Robust Non-Rigid Point Cloud Registration	Zheng Qin · Hao Yu · Changjian Wang · Yuxing Peng · Kai Xu	N/A	Code
HumanGen: Generating Human Radiance Fields With Explicit Priors	Suyi Jiang · Haoran Jiang · Ziyu Wang · Haimin Luo · Wenzheng Chen · Lan Xu	N/A	Code
Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation	Bo Huang · Mingyang Chen · Yi Wang · Junda Lu · Minhao Cheng · Wei Wang	N/A	Code
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation	Narek Tumanyan · Michal Geyer · Shai Bagon · Tali Dekel	N/A	Code
Rotation-Invariant Transformer for Point Cloud Matching	Hao Yu · Zheng Qin · Ji Hou · Saleh · Dongsheng Li · Benjamin Busam · Slobodan Ilic	N/A	Code
CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP	Runnan Chen · Youquan Liu · Lingdong Kong · Xinge Zhu · Yuexin Ma · Yikang Li · Yuenan Hou · Yu Qiao · Wenping Wang	N/A	Code
Real-Time 6K Image Rescaling With Rate-Distortion Optimization	Chenyang Qi · Xin Yang · Ka Leong Cheng · Ying-Cong Chen · Qifeng Chen	N/A	Code
Focused and Collaborative Feedback Integration for Interactive Image Segmentation	Qiaoqiao Wei · Hui Zhang · Jun-Hai Yong	N/A	Code
Language-Guided Music Recommendation for Video via Prompt Analogies	Daniel McKee · Justin Salamon · Josef Sivic · Bryan Russell	N/A	Code
TarViS: A Unified Approach for Target-Based Video Segmentation	Ali Athar · Alexander Hermans · Jonathon Luiten · Deva Ramanan · Bastian Leibe	N/A	Code
Meta-Personalizing Vision-Language Models To Find Named Instances in Video	Chun-Hsiao Yeh · Bryan Russell · Josef Sivic · Fabian Caba Heilbron · Simon Jenni	N/A	Code
ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data	Haojie Zhao · Junsong Chen · Lijun Wang · Huchuan Lu	N/A	Code
Scaling Language-Image Pre-Training via Masking	Yanghao Li · Haoqi Fan · Ronghang Hu · Christoph Feichtenhofer · Kaiming He	N/A	Code
SeqTrack: Sequence to Sequence Learning for Visual Object Tracking	Xin Chen · Houwen Peng · Dong Wang · Huchuan Lu · Han Hu	N/A	Code
Learning Neural Parametric Head Models	Simon Giebenhain · Tobias Kirschstein · Markos Georgopoulos · Martin Rünz · Lourdes Agapito · Matthias Nießner	N/A	Code
L-CoIns: Language-Based Colorization With Instance Awareness	Zheng Chang · Shuchen Weng · Peixuan Zhang · Yu Li · Si Li · Boxin Shi	N/A	Code
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning	Antoine Yang · Arsha Nagrani · Paul Hongsuck Seo · Antoine Miech · Jordi Pont-Tuset · Ivan Laptev · Josef Sivic · Cordelia Schmid	N/A	Code
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding	Le Xue · Mingfei Gao · Chen Xing · Roberto Martín-Martín · Jiajun Wu · Caiming Xiong · Ran Xu · Juan Carlos Niebles · Silvio Savarese	N/A	Code
GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields From Multi-View Images	Jianchuan Chen · Wentao Yi · Liqian Ma · Xu Jia · Huchuan Lu	N/A	Code
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation	Lukas Hoyer · Dengxin Dai · Haoran Wang · Luc Van Gool	N/A	Code
MED-VT: Multiscale Encoder-Decoder Video Transformer With Application To Object Segmentation	Rezaul Karim · He Zhao · Richard P. Wildes · Mennatullah Siam	N/A	Code
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation	Bohao Peng · Zhuotao Tian · Xiaoyang Wu · Chengyao Wang · Shu Liu · Jingyong Su · Jiaya Jia	N/A	Code
Universal Instance Perception As Object Discovery and Retrieval	Bin Yan · Yi Jiang · Jiannan Wu · Dong Wang · Ping Luo · Zehuan Yuan · Huchuan Lu	N/A	Code
Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning	Zhicai Wang · Yanbin Hao · Tingting Mu · Ouxiang Li · Shuo Wang · Xiangnan He	N/A	Code
Open-Vocabulary Semantic Segmentation With Mask-Adapted CLIP	Feng Liang · Bichen Wu · Xiaoliang Dai · Kunpeng Li · Yinan Zhao · Hang Zhang · Peizhao Zhang · Peter Vajda · Diana Marculescu	N/A	Code
ImageBind: One Embedding Space To Bind Them All	Rohit Girdhar · Alaaeldin El-Nouby · Zhuang Liu · Mannat Singh · Kalyan Vasudev Alwala · Armand Joulin · Ishan Misra	N/A	Code
Learning and Aggregating Lane Graphs for Urban Automated Driving	Martin Büchner · Jannik Zürn · Ion-George Todoran · Abhinav Valada · Wolfram Burgard	N/A	Code
High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain Activity	Yu Takagi · Shinji Nishimoto	N/A	Code
3D Cinemagraphy From a Single Image	Xingyi Li · Zhiguo Cao · Huiqiang Sun · Jianming Zhang · Ke Xian · Guosheng Lin	N/A	Code
Understanding and Improving Visual Prompting: A Label-Mapping Perspective	Aochuan Chen · Yuguang Yao · Pin-Yu Chen · Yihua Zhang · Sijia Liu	N/A	Code
Cut and Learn for Unsupervised Object Detection and Instance Segmentation	Xudong Wang · Rohit Girdhar · Stella X. Yu · Ishan Misra	N/A	Code
DF-Platter: Multi-Face Heterogeneous Deepfake Dataset	Kartik Narayan · Harsh Agarwal · Kartik Thakral · Surbhi Mittal · Mayank Vatsa · Richa Singh	N/A	Code
BASiS: Batch Aligned Spectral Embedding Space	Or Streicher · Ido Cohen · Guy Gilboa	N/A	Code
Annealing-Based Label-Transfer Learning for Open World Object Detection	Yuqing Ma · Hainan Li · Zhange Zhang · Jinyang Guo · Shanghang Zhang · Ruihao Gong · Xianglong Liu	N/A	Code
Behind the Scenes: Density Fields for Single View Reconstruction	Felix Wimbauer · Nan Yang · Christian Rupprecht · Daniel Cremers	N/A	Code
Learning Video Representations From Large Language Models	Yue Zhao · Ishan Misra · Philipp Krähenbühl · Rohit Girdhar	N/A	Code
Quantum Multi-Model Fitting	Matteo Farina · Luca Magri · Willi Menapace · Elisa Ricci · Vladislav Golyanik · Federica Arrigoni	N/A	Code
Power Bundle Adjustment for Large-Scale 3D Reconstruction	Simon Weber · Nikolaus Demmel · Tin Chon Chan · Daniel Cremers	N/A	Code
Optimization-Inspired Cross-Attention Transformer for Compressive Sensing	Jiechong Song · Chong Mou · Shiqi Wang · Siwei Ma · Jian Zhang	N/A	Code
NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization	Shitao Tang · Sicong Tang · Andrea Tagliasacchi · Ping Tan · Yasutaka Furukawa	N/A	Code
Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption	Jin Gao · Jialing Zhang · Xihui Liu · Trevor Darrell · Evan Shelhamer · Dequan Wang	N/A	Code
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis	Ziyu Wan · Christian Richardt · Aljaž Božič · Chao Li · Vijay Rengarajan · Seonghyeon Nam · Xiaoyu Xiang · Tuotuo Li · Bo Zhu · Rakesh Ranjan · Jing Liao	N/A	Code
Object Pop-Up: Can We Infer 3D Objects and Their Poses From Human Interactions Alone?	Ilya A. Petrov · Riccardo Marin · Julian Chibane · Gerard Pons-Moll	N/A	Code
G-MSM: Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors	Marvin Eisenberger · Aysim Toker · Laura Leal-Taixé · Daniel Cremers	N/A	Code
Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision	María Leyva-Vallina · Nicola Strisciuglio · Nicolai Petkov	N/A	Code
Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision	Xinyi Ying · Li Liu · Yingqian Wang · Ruojing Li · Nuo Chen · Zaiping Lin · Weidong Sheng · Shilin Zhou	N/A	Code
Instant Domain Augmentation for LiDAR Semantic Segmentation	Kwonyoung Ryu · Soonmin Hwang · Jaesik Park	N/A	Code
R2Former: Unified Retrieval and Reranking Transformer for Place Recognition	Sijie Zhu · Linjie Yang · Chen Chen · Mubarak Shah · Xiaohui Shen · Heng Wang	N/A	Code
Detecting and Grounding Multi-Modal Media Manipulation	Rui Shao · Tianxing Wu · Ziwei Liu	N/A	Code
Detecting Backdoors in Pre-Trained Encoders	Shiwei Feng · Guanhong Tao · Siyuan Cheng · Guangyu Shen · Xiangzhe Xu · Yingqi Liu · Kaiyuan Zhang · Shiqing Ma · Xiangyu Zhang	N/A	Code
Scaling Up GANs for Text-to-Image Synthesis	Minguk Kang · Jun-Yan Zhu · Richard Zhang · Jaesik Park · Eli Shechtman · Sylvain Paris · Taesung Park	N/A	Code
Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline	Tiantian Geng · Teng Wang · Jinming Duan · Runmin Cong · Feng Zheng	N/A	Code
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360°	Sizhe An · Hongyi Xu · Yichun Shi · Guoxian Song · Umit Y. Ogras · Linjie Luo	N/A	Code
Modality-Invariant Visual Odometry for Embodied Vision	Marius Memmel · Roman Bachmann · Amir Zamir	N/A	Code
3D Video Loops From Asynchronous Input	Li Ma · Xiaoyu Li · Jing Liao · Pedro V. Sander	N/A	Code
Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes	Xuan Ju · Ailing Zeng · Jianan Wang · Qiang Xu · Lei Zhang	N/A	Code
PosterLayout: A New Benchmark and Approach for Content-Aware Visual-Textual Presentation Layout	Hsiao Yuan Hsu · Xiangteng He · Yuxin Peng · Hao Kong · Qing Zhang	N/A	Code
A Soma Segmentation Benchmark in Full Adult Fly Brain	Xiaoyu Liu · Bo Hu · Mingxing Li · Wei Huang · Yueyi Zhang · Zhiwei Xiong	N/A	Code
One-Stage 3D Whole-Body Mesh Recovery With Component Aware Transformer	Jing Lin · Ailing Zeng · Haoqian Wang · Lei Zhang · Yu Li	N/A	Code
Listening Human Behavior: 3D Human Pose Estimation With Acoustic Signals	Yuto Shibata · Yutaka Kawashima · Mariko Isogawa · Go Irie · Akisato Kimura · Yoshimitsu Aoki	N/A	Code
Hand Avatar: Free-Pose Hand Animation and Rendering From Monocular Video	Xingyu Chen · Baoyuan Wang · Heung-Yeung Shum	N/A	Code
M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis	Hiuyi Cheng · Peirong Zhang · Sihang Wu · Jiaxin Zhang · Qiyuan Zhu · Zecheng Xie · Jing Li · Kai Ding · Lianwen Jin	N/A	Code
Neural Congealing: Aligning Images to a Joint Semantic Atlas	Dolev Ofri-Amar · Michal Geyer · Yoni Kasten · Tali Dekel	N/A	Code
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation	Tianheng Cheng · Xinggang Wang · Shaoyu Chen · Qian Zhang · Wenyu Liu	N/A	Code
BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion	Michael J. Black · Priyanka Patel · Joachim Tesch · Jinlong Yang	N/A	Code
Mask DINO: Towards a Unified Transformer-Based Framework for Object Detection and Segmentation	Feng Li · Hao Zhang · Huaizhe Xu · Shilong Liu · Lei Zhang · Lionel M. Ni · Heung-Yeung Shum	N/A	Code
Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis From Monocular Image	Yu Deng · Baoyuan Wang · Heung-Yeung Shum	N/A	Code
3DAvatarGAN: Bridging Domains for Personalized Editable Avatars	Rameen Abdal · Hsin-Ying Lee · Peihao Zhu · Menglei Chai · Aliaksandr Siarohin · Peter Wonka · Sergey Tulyakov	N/A	Code
FLEX: Full-Body Grasping Without Full-Body Grasps	Purva Tendulkar · Dídac Surís · Carl Vondrick	N/A	Code
UDE: A Unified Driving Engine for Human Motion Generation	Zixiang Zhou · Baoyuan Wang	N/A	Code
Video Test-Time Adaptation for Action Recognition	Wei Lin · Muhammad Jehanzeb Mirza · Mateusz Kozinski · Horst Possegger · Hilde Kuehne · Horst Bischof	N/A	Code
Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis	Duomin Wang · Yu Deng · Zixin Yin · Heung-Yeung Shum · Baoyuan Wang	N/A	Code
MIME: Human-Aware 3D Scene Generation	Hongwei Yi · Chun-Hao P. Huang · Shashank Tripathi · Lea Hering · Justus Thies · Michael J. Black	N/A	Code
AstroNet: When Astrocyte Meets Artificial Neural Network	Mengqiao Han · Liyuan Pan · Xiabi Liu	N/A	Code
Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction	Jianhua Sun · Yuxuan Li · Liang Chai · Cewu Lu	N/A	Code
ActMAD: Activation Matching To Align Distributions for Test-Time-Training	Muhammad Jehanzeb Mirza · Pol Jané Soneira · Wei Lin · Mateusz Kozinski · Horst Possegger · Horst Bischof	N/A	Code
Visual Prompt Multi-Modal Tracking	Jiawen Zhu · Simiao Lai · Xin Chen · Dong Wang · Huchuan Lu	N/A	Code
Reconstructing Signing Avatars From Video Using Linguistic Priors	Maria-Paola Forte · Peter Kulits · Chun-Hao P. Huang · Vasileios Choutas · Dimitrios Tzionas · Katherine J. Kuchenbecker · Michael J. Black	N/A	Code
Patch-Based 3D Natural Scene Generation From a Single Example	Weiyu Li · Xuelin Chen · Jue Wang · Baoquan Chen	N/A	Code
Re-Basin via Implicit Sinkhorn Differentiation	Fidel A. Guerrero Peña · Heitor Rapela Medeiros · Thomas Dubail · Masih Aminbeidokhti · Eric Granger · Marco Pedersoli	N/A	Code
Slide-Transformer: Hierarchical Vision Transformer With Local Self-Attention	Xuran Pan · Tianzhu Ye · Zhuofan Xia · Shiji Song · Gao Huang	N/A	Code
Planning-Oriented Autonomous Driving	Yihan Hu · Jiazhi Yang · Li Chen · Keyu Li · Chonghao Sima · Xizhou Zhu · Siqi Chai · Senyao Du · Tianwei Lin · Wenhai Wang · Lewei Lu · Xiaosong Jia · Qiang Liu · Jifeng Dai · Yu Qiao · Hongyang Li	N/A	Code
Enhancing Deformable Local Features by Jointly Learning To Detect and Describe Keypoints	Guilherme Potje · Felipe Cadar · André Araujo · Renato Martins · Erickson R. Nascimento	N/A	Code
3D Human Pose Estimation via Intuitive Physics	Shashank Tripathi · Lea Müller · Chun-Hao P. Huang · Omid Taheri · Michael J. Black · Dimitrios Tzionas	N/A	Code
Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning	Ajinkya Tejankar · Maziar Sanjabi · Qifan Wang · Sinong Wang · Hamed Firooz · Hamed Pirsiavash · Liang Tan	N/A	Code
PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos	Zhiqiang Shen · Xiaoxiao Sheng · Longguang Wang · Yulan Guo · Qiong Liu · Xi Zhou	N/A	Code
Blowing in the Wind: CycleNet for Human Cinemagraphs From Still Images	Hugo Bertiche · Niloy J. Mitra · Kuldeep Kulkarni · Chun-Hao P. Huang · Tuanfeng Y. Wang · Meysam Madadi · Sergio Escalera · Duygu Ceylan	N/A	Code
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning	Kangning Liu · Weicheng Zhu · Yiqiu Shen · Sheng Liu · Narges Razavian · Krzysztof J. Geras · Carlos Fernandez-Granda	N/A	Code
Learning Steerable Function for Efficient Image Resampling	Jiacheng Li · Chang Chen · Wei Huang · Zhiqiang Lang · Fenglong Song · Youliang Yan · Zhiwei Xiong	N/A	Code
Deep Deterministic Uncertainty: A New Simple Baseline	Jishnu Mukhoti · Andreas Kirsch · Joost van Amersfoort · Philip H.S. Torr · Yarin Gal	N/A	Code
Removing Objects From Neural Radiance Fields	Silvan Weder · Guillermo Garcia-Hernando · Áron Monszpart · Marc Pollefeys · Gabriel J. Brostow · Michael Firman · Sara Vicente	N/A	Code
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations	Haoran Geng · Ziming Li · Yiran Geng · Jiayi Chen · Hao Dong · He Wang	N/A	Code
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection	Hao Huang · Ziyan Chen · Huanran Chen · Yongtao Wang · Kevin Zhang	N/A	Code
DINN360: Deformable Invertible Neural Network for Latitude-Aware 360° Image Rescaling	Yichen Guo · Mai Xu · Lai Jiang · Leonid Sigal · Yunjin Chen	N/A	Code
Learning Human-to-Robot Handovers From Point Clouds	Sammy Christen · Wei Yang · Claudia Pérez-D’Arpino · Otmar Hilliges · Dieter Fox · Yu-Wei Chao	N/A	Code
Multi-View Azimuth Stereo via Tangent Space Consistency	Xu Cao · Hiroaki Santo · Fumio Okura · Yasuyuki Matsushita	N/A	Code
Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners	Zitian Chen · Yikang Shen · Mingyu Ding · Zhenfang Chen · Hengshuang Zhao · Erik G. Learned-Miller · Chuang Gan	N/A	Code
gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction	Zerui Chen · Shizhe Chen · Cordelia Schmid · Ivan Laptev	N/A	Code
Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint	Hongyu Liu · Yibing Song · Qifeng Chen	N/A	Code
Generative Bias for Robust Visual Question Answering	Jae Won Cho · Dong-Jin Kim · Hyeonggon Ryu · In So Kweon	N/A	Code
Backdoor Defense via Deconfounded Representation Learning	Zaixi Zhang · Qi Liu · Zhicai Wang · Zepu Lu · Qingyong Hu	N/A	Code
High-Fidelity 3D GAN Inversion by Pseudo-Multi-View Optimization	Jiaxin Xie · Hao Ouyang · Jingtan Piao · Chenyang Lei · Qifeng Chen	N/A	Code
Affordance Diffusion: Synthesizing Hand-Object Interactions	Yufei Ye · Xueting Li · Abhinav Gupta · Shalini De Mello · Stan Birchfield · Jiaming Song · Shubham Tulsiani · Sifei Liu	N/A	Code
Zero-Shot Pose Transfer for Unrigged Stylized 3D Characters	Jiashun Wang · Xueting Li · Sifei Liu · Shalini De Mello · Orazio Gallo · Xiaolong Wang · Jan Kautz	N/A	Code
Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting	Tarasha Khurana · Peiyun Hu · David Held · Deva Ramanan	N/A	Code
Are Data-Driven Explanations Robust Against Out-of-Distribution Data?	Tang Li · Fengchun Qiao · Mengmeng Ma · Xi Peng	N/A	Code
Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis	Kang Han · Wei Xiang	N/A	Code
Boosting Video Object Segmentation via Space-Time Correspondence Learning	Yurong Zhang · Liulei Li · Wenguan Wang · Rong Xie · Li Song · Wenjun Zhang	N/A	Code
X-Pruner: eXplainable Pruning for Vision Transformers	Lu Yu · Wei Xiang	N/A	Code
GazeNeRF: 3D-Aware Gaze Redirection With Neural Radiance Fields	Alessandro Ruzzi · Xiangwei Shi · Xi Wang · Gengyan Li · Shalini De Mello · Hyung Jin Chang · Xucong Zhang · Otmar Hilliges	N/A	Code
Real-Time Evaluation in Online Continual Learning: A New Hope	Yasir Ghunaim · Adel Bibi · Kumail Alhamoud · Motasem Alfarra · Hasan Abed Al Kader Hammoud · Ameya Prabhu · Philip H.S. Torr · Bernard Ghanem	N/A	Code
Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank	Shirui Huang · Keyan Wang · Huan Liu · Jun Chen · Yunsong Li	N/A	Code
A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories	Reza Akbarian Bafghi · Danna Gurari	N/A	Code
Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models	Jiarui Xu · Sifei Liu · Arash Vahdat · Wonmin Byeon · Xiaolong Wang · Shalini De Mello	N/A	Code
Reconstructing Animatable Categories From Videos	Gengshan Yang · Chaoyang Wang · N. Dinesh Reddy · Deva Ramanan	N/A	Code
Learning Visual Representations via Language-Guided Sampling	Mohamed El Banani · Karan Desai · Justin Johnson	N/A	Code
Four-View Geometry With Unknown Radial Distortion	Petr Hruby · Viktor Korotynskiy · Timothy Duff · Luke Oeding · Marc Pollefeys · Tomas Pajdla · Viktor Larsson	N/A	Code
DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model	Gwanghyun Kim · Se Young Chun	N/A	Code
ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing	Zequn Zeng · Hao Zhang · Ruiying Lu · Dongsheng Wang · Bo Chen · Zhengjue Wang	N/A	Code
Feature Separation and Recalibration for Adversarial Robustness	Woo Jae Kim · Yoonki Cho · Junsik Jung · Sung-Eui Yoon	N/A	Code
Event-Based Blurry Frame Interpolation Under Blind Exposure	Wenming Weng · Yueyi Zhang · Zhiwei Xiong	N/A	Code
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures	Zhiqin Chen · Thomas Funkhouser · Peter Hedman · Andrea Tagliasacchi	N/A	Code
HandsOff: Labeled Dataset Generation With No Additional Human Annotations	Austin Xu · Mariya I. Vasileva · Achal Dave · Arjun Seshadri	N/A	Code
Analyzing and Diagnosing Pose Estimation With Attributions	Qiyuan He · Linlin Yang · Kerui Gu · Qiuxia Lin · Angela Yao	N/A	Code
Overcoming the Trade-Off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction	Ziwei Yu · Chen Li · Linlin Yang · Xiaoxu Zheng · Michael Bi Mi · Gim Hee Lee · Angela Yao	N/A	Code
VIVE3D: Viewpoint-Independent Video Editing Using 3D-Aware GANs	Anna Frühstück · Nikolaos Sarafianos · Yuanlu Xu · Peter Wonka · Tony Tung	N/A	Code
Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge	Changdi Yang · Pu Zhao · Yanyu Li · Wei Niu · Jiexiong Guan · Hao Tang · Minghai Qin · Bin Ren · Xue Lin · Yanzhi Wang	N/A	Code
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation From 2D Supervision	Xiaoshuai Zhang · Abhijit Kundu · Thomas Funkhouser · Leonidas Guibas · Hao Su · Kyle Genova	N/A	Code
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization	Bingfan Zhu · Yanchao Yang · Xulong Wang · Youyi Zheng · Leonidas Guibas	N/A	Code
OpenScene: 3D Scene Understanding With Open Vocabularies	Songyou Peng · Kyle Genova · Chiyu “Max” Jiang · Andrea Tagliasacchi · Marc Pollefeys · Thomas Funkhouser	N/A	Code
A New Benchmark: On the Utility of Synthetic Data With Blender for Bare Supervised Learning and Downstream Domain Adaptation	Hui Tang · Kui Jia	N/A	Code
Implicit View-Time Interpolation of Stereo Videos Using Multi-Plane Disparities and Non-Uniform Coordinates	Avinash Paliwal · Andrii Tsarov · Nima Khademi Kalantari	N/A	Code
A Large-Scale Homography Benchmark	Daniel Barath · Dmytro Mishkin · Michal Polic · Wolfgang Förstner · Jiri Matas	N/A	Code
Glocal Energy-Based Learning for Few-Shot Open-Set Recognition	Haoyu Wang · Guansong Pang · Peng Wang · Lei Zhang · Wei Wei · Yanning Zhang	N/A	Code
MEDIC: Remove Model Backdoors via Importance Driven Cloning	Qiuling Xu · Guanhong Tao · Jean Honorio · Yingqi Liu · Shengwei An · Guangyu Shen · Siyuan Cheng · Xiangyu Zhang	N/A	Code
Finding Geometric Models by Clustering in the Consensus Space	Daniel Barath · Denys Rozumnyi · Ivan Eichhardt · Levente Hajder · Jiri Matas	N/A	Code
Imagic: Text-Based Real Image Editing With Diffusion Models	Bahjat Kawar · Shiran Zada · Oran Lang · Omer Tov · Huiwen Chang · Tali Dekel · Inbar Mosseri · Michal Irani	N/A	Code
DeepLSD: Line Segment Detection and Refinement With Deep Image Gradients	Rémi Pautrat · Daniel Barath · Viktor Larsson · Martin R. Oswald · Marc Pollefeys	N/A	Code
H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction	Hao Xu · Tianyu Wang · Xiao Tang · Chi-Wing Fu	N/A	Code
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions	Yurui Zhu · Tianyu Wang · Xueyang Fu · Xuanyu Yang · Xin Guo · Jifeng Dai · Yu Qiao · Xiaowei Hu	N/A	Code
MoDi: Unconditional Motion Synthesis From Diverse Data	Sigal Raab · Inbal Leibovitch · Peizhuo Li · Kfir Aberman · Olga Sorkine-Hornung · Daniel Cohen-Or	N/A	Code
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction	Luke Melas-Kyriazi · Christian Rupprecht · Andrea Vedaldi	N/A	Code
SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation	Zimin Xia · Zimin Xia · Ted Lentsch · Julian F. P. Kooij	N/A	Code
RealFusion: 360° Reconstruction of Any Object From a Single Image	Luke Melas-Kyriazi · Iro Laina · Christian Rupprecht · Andrea Vedaldi	N/A	Code
Masked and Adaptive Transformer for Exemplar Based Image Translation	Chang Jiang · Fei Gao · Biao Ma · Yuhao Lin · Nannan Wang · Gang Xu	N/A	Code
DynamicStereo: Consistent Dynamic Depth From Stereo Videos	Nikita Karaev · Ignacio Rocco · Benjamin Graham · Natalia Neverova · Andrea Vedaldi · Christian Rupprecht	N/A	Code
Masked Representation Learning for Domain Generalized Stereo Matching	Zhibo Rao · Bangshu Xiong · Mingyi He · Mochu Xiang · Renjie He · Zhelun Shen · Xing Li	N/A	Code
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training	Runsen Xu · Tai Wang · Wenwei Zhang · Runjian Chen · Jinkun Cao · Jiangmiao Pang · Dahua Lin	N/A	Code
Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection	Tomoki Ichikawa · Yoshiki Fukao · Shohei Nobuhara · Ko Nishino	N/A	Code
Instant Multi-View Head Capture Through Learnable Registration	Timo Bolkart · Tianye Li · Michael J. Black	N/A	Code
POEM: Reconstructing Hand in a Point Embedded Multi-View Stereo	Lixin Yang · Jian Xu · Licheng Zhong · Xinyu Zhan · Zhicheng Wang · Kejian Wu · Cewu Lu	N/A	Code
Diffusion-Based Generation, Optimization, and Planning in 3D Scenes	Siyuan Huang · Zan Wang · Puhao Li · Baoxiong Jia · Tengyu Liu · Yixin Zhu · Wei Liang · Song-Chun Zhu	N/A	Code
Visibility Constrained Wide-Band Illumination Spectrum Design for Seeing-in-the-Dark	Muyao Niu · Zhuoxiao Li · Zhihang Zhong · Yinqiang Zheng	N/A	Code
SketchXAI: A First Look at Explainability for Human Sketches	Zhiyu Qu · Yulia Gryaditskaya · Ke Li · Kaiyue Pang · Tao Xiang · Yi-Zhe Song	N/A	Code
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation	Taeyeop Lee · Jonathan Tremblay · Valts Blukis · Bowen Wen · Byeong-Uk Lee · Inkyu Shin · Stan Birchfield · In So Kweon · Kuk-Jin Yoon	N/A	Code
Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction	Ryo Kawahara · Meng-Yu Jennifer Kuo · Shohei Nobuhara	N/A	Code
Reliability in Semantic Segmentation: Are We on the Right Track?	Pau de Jorge · Riccardo Volpi · Philip H.S. Torr · Grégory Rogez	N/A	Code
SMPConv: Self-Moving Point Representations for Continuous Convolution	Sanghyeon Kim · Eunbyung Park	N/A	Code
Few-Shot Geometry-Aware Keypoint Localization	Xingzhe He · Gaurav Bharaj · David Ferman · Helge Rhodin · Pablo Garrido	N/A	Code
STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition	Xiaoyu Zhu · Po-Yao Huang · Junwei Liang · Celso M. de Melo · Alexander G. Hauptmann	N/A	Code
Knowledge Combination To Learn Rotated Detection Without Rotated Annotation	Tianyu Zhu · Bryce Ferenczi · Pulak Purkait · Tom Drummond · Hamid Rezatofighi · Anton van den Hengel	N/A	Code
OTAvatar: One-Shot Talking Face Avatar With Controllable Tri-Plane Rendering	Zhiyuan Ma · Xiangyu Zhu · Guo-Jun Qi · Zhen Lei · Lei Zhang	N/A	Code
Supervised Masked Knowledge Distillation for Few-Shot Transformers	Han Lin · Guangxing Han · Jiawei Ma · Shiyuan Huang · Xudong Lin · Shih-Fu Chang	N/A	Code
Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision	Jilan Xu · Junlin Hou · Yuejie Zhang · Rui Feng · Yi Wang · Yu Qiao · Weidi Xie	N/A	Code
ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing	Xiaodan Li · Yuefeng Chen · Yao Zhu · Shuhui Wang · Rong Zhang · Hui Xue	N/A	Code
Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos	Liao Wang · Qiang Hu · Qihan He · Ziyu Wang · Jingyi Yu · Tinne Tuytelaars · Lan Xu · Minye Wu	N/A	Code
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm	Yichen Xie · Han Lu · Junchi Yan · Xiaokang Yang · Masayoshi Tomizuka · Wei Zhan	N/A	Code
Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering	Ruizhi Shao · Zerong Zheng · Hanzhang Tu · Boning Liu · Hongwen Zhang · Yebin Liu	N/A	Code
RiDDLE: Reversible and Diversified De-Identification With Latent Encryptor	Dongze Li · Wei Wang · Kang Zhao · Jing Dong · Tieniu Tan	N/A	Code
RobustNeRF: Ignoring Distractors With Robust Losses	Sara Sabour · Suhani Vora · Daniel Duckworth · Ivan Krasin · David J. Fleet · Andrea Tagliasacchi	N/A	Code
Bitstream-Corrupted JPEG Images Are Restorable: Two-Stage Compensation and Alignment Framework for Image Restoration	Wenyang Liu · Yi Wang · Kim-Hui Yap · Lap-Pui Chau	N/A	Code
HierVL: Learning Hierarchical Video-Language Embeddings	Kumar Ashutosh · Rohit Girdhar · Lorenzo Torresani · Kristen Grauman	N/A	Code
Phone2Proc: Bringing Robust Robots Into Our Chaotic World	Matt Deitke · Rose Hendrix · Ali Farhadi · Kiana Ehsani · Aniruddha Kembhavi	N/A	Code
A Light Touch Approach to Teaching Transformers Multi-View Geometry	Yash Bhalgat · João F. Henriques · Andrew Zisserman	N/A	Code
Clothed Human Performance Capture With a Double-Layer Neural Radiance Fields	Kangkan Wang · Guofeng Zhang · Suxu Cong · Jian Yang	N/A	Code
AutoFocusFormer: Image Segmentation off the Grid	Chen Ziwen · Kaushik Patnaik · Shuangfei Zhai · Alvin Wan · Zhile Ren · Alexander G. Schwing · Alex Colburn · Li Fuxin	N/A	Code
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion	Davis Rempe · Zhengyi Luo · Xue Bin Peng · Ye Yuan · Kris Kitani · Karsten Kreis · Sanja Fidler · Or Litany	N/A	Code
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking	Jinkun Cao · Jiangmiao Pang · Xinshuo Weng · Rawal Khirodkar · Kris Kitani	N/A	Code
Spider GAN: Leveraging Friendly Neighbors To Accelerate GAN Training	Siddarth Asokan · Chandra Sekhar Seelamantula	N/A	Code
Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation	Jiawei Du · Yidi Jiang · Vincent Y. F. Tan · Joey Tianyi Zhou · Haizhou Li	N/A	Code
Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo	Yuesong Wang · Zhaojie Zeng · Tao Guan · Wei Yang · Zhuo Chen · Wenkai Liu · Luoyuan Xu · Yawei Luo	N/A	Code
Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares	Dominik Muhle · Lukas Koestler · Krishna Murthy Jatavallabhula · Daniel Cremers	N/A	Code
Learning Anchor Transformations for 3D Garment Animation	Fang Zhao · Zekun Li · Shaoli Huang · Junwu Weng · Tianfei Zhou · Guo-Sen Xie · Jue Wang · Ying Shan	N/A	Code
PyPose: A Library for Robot Learning With Physics-Based Optimization	Chen Wang · Dasong Gao · Kuan Xu · Junyi Geng · Yaoyu Hu · Yuheng Qiu · Bowen Li · Fan Yang · Brady Moon · Abhinav Pandey · Aryan · Jiahe Xu · Tianhao Wu · Haonan He · Daning Huang · Zhongqiang Ren · Shibo Zhao · Taimeng Fu · Pranay Reddy · Xiao Lin · Wenshan Wang · Jingnan Shi · Rajat Talak · Kun Cao · Yi Du · Han Wang · Huai Yu · Shanzhao Wang · Siyu Chen · Ananth Kashyap · Rohan Bandaru · Karthik Dantu · Jiajun Wu · Lihua Xie · Luca Carlone · Marco Hutter · Sebastian Scherer	N/A	Code
Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge	Steven Spratley · Krista A. Ehinger · Tim Miller	N/A	Code
DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata	Ehsan Pajouheshgar · Yitao Xu · Tong Zhang · Sabine Süsstrunk	N/A	Code
Learning Generative Structure Prior for Blind Text Image Super-Resolution	Xiaoming Li · Wangmeng Zuo · Chen Change Loy	N/A	Code
CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis	Juntian Zheng · Qingyuan Zheng · Lixing Fang · Yun Liu · Li Yi	N/A	Code
SCPNet: Semantic Scene Completion on Point Cloud	Zhaoyang Xia · Youquan Liu · Xin Li · Xinge Zhu · Yuexin Ma · Yikang Li · Yuenan Hou · Yu Qiao	N/A	Code
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation	Zhen Li · Zuo-Liang Zhu · Ling-Hao Han · Qibin Hou · Chun-Le Guo · Ming-Ming Cheng	N/A	Code
Behavioral Analysis of Vision-and-Language Navigation Agents	Zijiao Yang · Arjun Majumdar · Stefan Lee	N/A	Code
Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation	Yuwei Yang · Munawar Hayat · Zhao Jin · Chao Ren · Yinjie Lei	N/A	Code
Directional Connectivity-Based Segmentation of Medical Images	Ziyun Yang · Sina Farsiu	N/A	Code
ScanDMM: A Deep Markov Model of Scanpath Prediction for 360° Images	Xiangjie Sui · Yuming Fang · Hanwei Zhu · Shiqi Wang · Zhou Wang	N/A	Code
3D Shape Reconstruction of Semi-Transparent Worms	Thomas P. Ilett · Omer Yuval · Thomas Ranner · Netta Cohen · David C. Hogg	N/A	Code
Patch-Craft Self-Supervised Training for Correlated Image Denoising	Gregory Vaksman · Michael Elad	N/A	Code
NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images	Xiaoxu Meng · Weikai Chen · Bo Yang	N/A	Code
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering	Zongrui Li · Qian Zheng · Boxin Shi · Gang Pan · Xudong Jiang	N/A	Code
Context-Aware Alignment and Mutual Masking for 3D-Language Pre-Training	Zhao Jin · Munawar Hayat · Yuwei Yang · Yulan Guo · Yinjie Lei	N/A	Code
Unsupervised Object Localization: Observing the Background To Discover Objects	Oriane Siméoni · Chloé Sekkat · Gilles Puy · Antonín Vobecký · Éloi Zablocki · Patrick Pérez	N/A	Code
Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery	Muli Yang · Liancheng Wang · Cheng Deng · Hanwang Zhang	N/A	Code
Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion	Yushi Lan · Xuyi Meng · Shuai Yang · Chen Change Loy · Bo Dai	N/A	Code
NeuralField-LDM: Scene Generation With Hierarchical Latent Diffusion Models	Seung Wook Kim · Bradley Brown · Kangxue Yin · Karsten Kreis · Katja Schwarz · Daiqing Li · Robin Rombach · Antonio Torralba · Sanja Fidler	N/A	Code
ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation	Alexandre Boulch · Corentin Sautier · Björn Michele · Gilles Puy · Renaud Marlet	N/A	Code
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction	Donghao Zhou · Chunbin Gu · Junde Xu · Furui Liu · Qiong Wang · Guangyong Chen · Pheng-Ann Heng	N/A	Code
Aligning Bag of Regions for Open-Vocabulary Object Detection	Size Wu · Wenwei Zhang · Sheng Jin · Wentao Liu · Chen Change Loy	N/A	Code
Neuralangelo: High-Fidelity Neural Surface Reconstruction	Zhaoshuo Li · Thomas Müller · Alex Evans · Russell H. Taylor · Mathias Unberath · Ming-Yu Liu · Chen-Hsuan Lin	N/A	Code
PCT-Net: Full Resolution Image Harmonization Using Pixel-Wise Color Transformations	Julian Jorge Andrade Guerreiro · Mitsuru Nakazawa · Björn Stenger	N/A	Code
PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers	Ryan Grainger · Thomas Paniagua · Xi Song · Naresh Cuntoor · Mun Wai Lee · Tianfu Wu	N/A	Code
Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation	Dong Zhao · Shuang Wang · Qi Zang · Dou Quan · Xiutiao Ye · Licheng Jiao	N/A	Code
MEGANE: Morphable Eyeglass and Avatar Network	Junxuan Li · Shunsuke Saito · Tomas Simon · Stephen Lombardi · Hongdong Li · Jason Saragih	N/A	Code
Generalizable Implicit Neural Representations via Instance Pattern Composers	Chiheon Kim · Doyup Lee · Saehoon Kim · Minsu Cho · Wook-Shin Han	N/A	Code
Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution	Bangyan Liao · Delin Qu · Yifei Xue · Huiqing Zhang · Yizhen Lao	N/A	Code
Distribution Shift Inversion for Out-of-Distribution Prediction	Runpeng Yu · Songhua Liu · Xingyi Yang · Xinchao Wang	N/A	Code
Wide-Angle Rectification via Content-Aware Conformal Mapping	Qi Zhang · Hongdong Li · Qing Wang	N/A	Code
WildLight: In-the-Wild Inverse Rendering With a Flashlight	Ziang Cheng · Junxuan Li · Hongdong Li	N/A	Code
Physics-Driven Diffusion Models for Impact Sound Synthesis From Videos	Kun Su · Kaizhi Qian · Eli Shlizerman · Antonio Torralba · Chuang Gan	N/A	Code
Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks	Markus Frey · Christian F. Doeller · Caswell Barry	N/A	Code
Inverting the Imaging Process by Learning an Implicit Camera Model	Xin Huang · Qi Zhang · Ying Feng · Hongdong Li · Qing Wang	N/A	Code
EC2: Emergent Communication for Embodied Control	Yao Mu · Shunyu Yao · Mingyu Ding · Ping Luo · Chuang Gan	N/A	Code
Light Source Separation and Intrinsic Image Decomposition Under AC Illumination	Yusaku Yoshida · Ryo Kawahara · Takahiro Okabe	N/A	Code
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding	Thanh-Dat Truong · Ngan Le · Bhiksha Raj · Jackson Cothren · Khoa Luu	N/A	Code
Learning Locally Editable Virtual Humans	Hsuan-I Ho · Lixin Xue · Jie Song · Otmar Hilliges	N/A	Code
Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation	Yuheng Lu · Chenfeng Xu · Xiaobao Wei · Xiaodong Xie · Masayoshi Tomizuka · Kurt Keutzer · Shanghang Zhang	N/A	Code
Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning	Qiang He · Huangyuan Su · Jieyu Zhang · Xinwen Hou	N/A	Code
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection	Anthony Chen · Kevin Zhang · Renrui Zhang · Zihan Wang · Yuheng Lu · Yandong Guo · Shanghang Zhang	N/A	Code
OrienterNet: Visual Localization in 2D Public Maps With Neural Matching	Paul-Edouard Sarlin · Daniel DeTone · Tsun-Yi Yang · Armen Avetisyan · Julian Straub · Tomasz Malisiewicz · Samuel Rota Bulò · Richard Newcombe · Peter Kontschieder · Vasileios Balntas	N/A	Code
Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation	Yixin Zhang · Zilei Wang · Weinan He	N/A	Code
Efficient Movie Scene Detection Using State-Space Transformers	Md Mohaiminul Islam · Mahmudul Hasan · Kishan Shamsundar Athrey · Tony Braskich · Gedas Bertasius	N/A	Code
Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction	Mingfang Zhang · Jinglu Wang · Xiao Li · Yifei Huang · Yoichi Sato · Yan Lu	N/A	Code
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks	Xiao Han · Xiatian Zhu · Licheng Yu · Li Zhang · Yi-Zhe Song · Tao Xiang	N/A	Code
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning	Qian Jiang · Changyou Chen · Han Zhao · Liqun Chen · Qing Ping · Son Dinh Tran · Yi Xu · Belinda Zeng · Trishul Chilimbi	N/A	Code
Level-S$^2$fM: Structure From Motion on Neural Level Set of Implicit Surfaces	Yuxi Xiao · Nan Xue · Tianfu Wu · Gui-Song Xia	N/A	Code
Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection	Xinjiang Wang · Xingyi Yang · Shilong Zhang · Yijiang Li · Litong Feng · Shijie Fang · Chengqi Lyu · Kai Chen · Wayne Zhang	N/A	Code
Dense Distinct Query for End-to-End Object Detection	Shilong Zhang · Xinjiang Wang · Jiaqi Wang · Jiangmiao Pang · Chengqi Lyu · Wenwei Zhang · Ping Luo · Kai Chen	N/A	Code
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation	Zicong Fan · Omid Taheri · Dimitrios Tzionas · Muhammed Kocabas · Manuel Kaufmann · Michael J. Black · Otmar Hilliges	N/A	Code
BiFormer: Vision Transformer With Bi-Level Routing Attention	Lei Zhu · Xinjiang Wang · Zhanghan Ke · Wayne Zhang · Rynson W.H. Lau	N/A	Code
Hierarchical Video-Moment Retrieval and Step-Captioning	Abhay Zala · Jaemin Cho · Satwik Kottur · Xilun Chen · Barlas Oguz · Yashar Mehdad · Mohit Bansal	N/A	Code
Progressive Open Space Expansion for Open-Set Model Attribution	Tianyun Yang · Danding Wang · Fan Tang · Xinying Zhao · Juan Cao · Sheng Tang	N/A	Code
Deep Depth Estimation From Thermal Image	Ukcheol Shin · Jinsun Park · In So Kweon	N/A	Code
Incremental 3D Semantic Scene Graph Prediction From RGB Sequences	Shun-Cheng Wu · Keisuke Tateno · Nassir Navab · Federico Tombari	N/A	Code
Visual Programming: Compositional Visual Reasoning Without Training	Tanmay Gupta · Aniruddha Kembhavi	N/A	Code
Change-Aware Sampling and Contrastive Learning for Satellite Images	Utkarsh Mall · Bharath Hariharan · Kavita Bala	N/A	Code
NULL-Text Inversion for Editing Real Images Using Guided Diffusion Models	Ron Mokady · Amir Hertz · Kfir Aberman · Yael Pritch · Daniel Cohen-Or	N/A	Code
RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors	Rui-Qi Wu · Zheng-Peng Duan · Chun-Le Guo · Zhi Chai · Chongyi Li	N/A	Code
Neural Part Priors: Learning To Optimize Part-Based Object Completion in RGB-D Scans	Aleksei Bokhovkin · Angela Dai	N/A	Code
Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy	Cheng Jiang · Xinhai Hou · Akhil Kondepudi · Asadur Chowdury · Christian W. Freudiger · Daniel A. Orringer · Honglak Lee · Todd C. Hollon	N/A	Code
Domain Expansion of Image Generators	Yotam Nitzan · Michaël Gharbi · Richard Zhang · Taesung Park · Jun-Yan Zhu · Daniel Cohen-Or · Eli Shechtman	N/A	Code
“Seeing” Electric Network Frequency From Events	Lexuan Xu · Guang Hua · Haijian Zhang · Lei Yu · Ning Qiao	N/A	Code
MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection	Wenda Zhao · Shigeng Xie · Fan Zhao · You He · Huchuan Lu	N/A	Code
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching	Jiahuan Yu · Jiahao Chang · Jianfeng He · Tianzhu Zhang · Jiyang Yu · Feng Wu	N/A	Code
SE-ORNet: Self-Ensembling Orientation-Aware Network for Unsupervised Point Cloud Shape Correspondence	Jiacheng Deng · Chuxin Wang · Jiahao Lu · Jianfeng He · Tianzhu Zhang · Jiyang Yu · Zhe Zhang	N/A	Code
Dynamic Coarse-To-Fine Learning for Oriented Tiny Object Detection	Chang Xu · Jian Ding · Jinwang Wang · Wen Yang · Huai Yu · Lei Yu · Gui-Song Xia	N/A	Code
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning	Yu Wang · Pengchong Qiao · Chang Liu · Guoli Song · Xiawu Zheng · Jie Chen	N/A	Code
Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding	Praneeth Chakravarthula · Jim Aldon D’Souza · Ethan Tseng · Joe Bartusek · Felix Heide	N/A	Code
DNF: Decouple and Feedback Network for Seeing in the Dark	Xin Jin · Ling-Hao Han · Zhen Li · Chun-Le Guo · Zhi Chai · Chongyi Li	N/A	Code
CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation	Samir Yitzhak Gadre · Mitchell Wortsman · Gabriel Ilharco · Ludwig Schmidt · Shuran Song	N/A	Code
NVTC: Nonlinear Vector Transform Coding	Runsen Feng · Zongyu Guo · Weiping Li · Zhibo Chen	N/A	Code
Towards Unified Scene Text Spotting Based on Sequence Generation	Taeho Kil · Seonghyeon Kim · Sukmin Seo · Yoonsik Kim · Daehee Kim	N/A	Code
Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation	Tsu-Jui Fu · Licheng Yu · Ning Zhang · Cheng-Yang Fu · Jong-Chyi Su · William Yang Wang · Sean Bell	N/A	Code
Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation	Pengchong Qiao · Zhidan Wei · Yu Wang · Zhennan Wang · Guoli Song · Fan Xu · Xiangyang Ji · Chang Liu · Jie Chen	N/A	Code
Progressively Optimized Local Radiance Fields for Robust View Synthesis	Andréas Meuleman · Yu-Lun Liu · Chen Gao · Jia-Bin Huang · Changil Kim · Min H. Kim · Johannes Kopf	N/A	Code
Neural Map Prior for Autonomous Driving	Xuan Xiong · Yicheng Liu · Tianyuan Yuan · Yue Wang · Yilun Wang · Hang Zhao	N/A	Code
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration	Yawei Li · Yuchen Fan · Xiaoyu Xiang · Denis Demandolx · Rakesh Ranjan · Radu Timofte · Luc Van Gool	N/A	Code
F2-NeRF: Fast Neural Radiance Field Training With Free Camera Trajectories	Peng Wang · Yuan Liu · Zhaoxi Chen · Lingjie Liu · Ziwei Liu · Taku Komura · Christian Theobalt · Wenping Wang	N/A	Code
Procedure-Aware Pretraining for Instructional Video Understanding	Honglu Zhou · Roberto Martín-Martín · Mubbasir Kapadia · Silvio Savarese · Juan Carlos Niebles	N/A	Code
High-Fidelity Guided Image Synthesis With Latent Diffusion Models	Jaskirat Singh · Stephen Gould · Liang Zheng	N/A	Code
Progressive Random Convolutions for Single Domain Generalization	Seokeon Choi · Debasmit Das · Sungha Choi · Seunghan Yang · Hyunsin Park · Sungrack Yun	N/A	Code
EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization	Junha Song · Jungsoo Lee · In So Kweon · Sungha Choi	N/A	Code
NoPe-NeRF: Optimising Neural Radiance Field With No Pose Prior	Wenjing Bian · Zirui Wang · Kejie Li · Jia-Wang Bian · Victor Adrian Prisacariu	N/A	Code
GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds	Zihui Zhang · Bo Yang · Bing Wang · Bo Li	N/A	Code
Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning	Kaiyou Song · Jin Xie · Shan Zhang · Zimeng Luo	N/A	Code
Aligning Step-by-Step Instructional Diagrams to Video Demonstrations	Jiahao Zhang · Anoop Cherian · Yanbin Liu · Yizhak Ben-Shabat · Cristian Rodriguez · Stephen Gould	N/A	Code
ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields	Mohammad Mahdi Johari · Camilla Carta · François Fleuret	N/A	Code
AutoRecon: Automated 3D Object Discovery and Reconstruction	Yuang Wang · Xingyi He · Sida Peng · Haotong Lin · Hujun Bao · Xiaowei Zhou	N/A	Code
Ultra-High Resolution Segmentation With Ultra-Rich Context: A Novel Benchmark	Deyi Ji · Feng Zhao · Hongtao Lu · Mingyuan Tao · Jieping Ye	N/A	Code
NeUDF: Leaning Neural Unsigned Distance Fields With Volume Rendering	Yu-Tao Liu · Li Wang · Jie Yang · Weikai Chen · Xiaoxu Meng · Bo Yang · Lin Gao	N/A	Code
Improving Cross-Modal Retrieval With Set of Diverse Embeddings	Dongwon Kim · Namyup Kim · Suha Kwak	N/A	Code
An Image Quality Assessment Dataset for Portraits	Nicolas Chahine · Stefania Calarasanu · Davide Garcia-Civiero · Théo Cayla · Sira Ferradans · Jean Ponce	N/A	Code
Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor	Hyeokjun Kweon · Sung-Hoon Yoon · Kuk-Jin Yoon	N/A	Code
NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-Viewpoint MiXer	Kun Zhou · Wenbo Li · Yi Wang · Tao Hu · Nianjuan Jiang · Xiaoguang Han · Jiangbo Lu	N/A	Code
ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations	Panos Achlioptas · Ian Huang · Minhyuk Sung · Sergey Tulyakov · Leonidas Guibas	N/A	Code
RelightableHands: Efficient Neural Relighting of Articulated Hand Models	Shun Iwase · Shunsuke Saito · Tomas Simon · Stephen Lombardi · Timur Bagautdinov · Rohan Joshi · Fabian Prada · Takaaki Shiratori · Yaser Sheikh · Jason Saragih	N/A	Code
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud	Ziqin Wang · Bowen Cheng · Lichen Zhao · Dong Xu · Yang Tang · Lu Sheng	N/A	Code
MVImgNet: A Large-Scale Dataset of Multi-View Images	Xianggang Yu · Mutian Xu · Yidan Zhang · Haolin Liu · Chongjie Ye · Yushuang Wu · Zizheng Yan · Chenming Zhu · Zhangyang Xiong · Tianyou Liang · Guanying Chen · Shuguang Cui · Xiaoguang Han	N/A	Code
MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling With Informative-Preserved Reconstruction and Self-Distilled Consistency	Mingye Xu · Mutian Xu · Tong He · Wanli Ouyang · Yali Wang · Xiaoguang Han · Yu Qiao	N/A	Code
Self-Guided Diffusion Models	Vincent Tao Hu · David W. Zhang · Yuki M. Asano · Gertjan J. Burghouts · Cees G. M. Snoek	N/A	Code
REC-MV: REconstructing 3D Dynamic Cloth From Monocular Videos	Lingteng Qiu · Guanying Chen · Jiapeng Zhou · Mutian Xu · Junle Wang · Xiaoguang Han	N/A	Code
OneFormer: One Transformer To Rule Universal Image Segmentation	Jitesh Jain · Jiachen Li · Mang Tik Chiu · Ali Hassani · Nikita Orlov · Humphrey Shi	N/A	Code
Mask-Free OVIS: Open-Vocabulary Instance Segmentation Without Manual Mask Annotations	Vibashan VS · Ning Yu · Chen Xing · Can Qin · Mingfei Gao · Juan Carlos Niebles · Vishal M. Patel · Ran Xu	N/A	Code
Multiclass Confidence and Localization Calibration for Object Detection	Bimsara Pathiraja · Malitha Gunawardhana · Muhammad Haris Khan	N/A	Code
Structured Kernel Estimation for Photon-Limited Deconvolution	Yash Sanghvi · Zhiyuan Mao · Stanley H. Chan	N/A	Code
CLIPPO: Image-and-Language Understanding From Pixels Only	Michael Tschannen · Basil Mustafa · Neil Houlsby	N/A	Code
Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition	Lilang Lin · Jiahang Zhang · Jiaying Liu	N/A	Code
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging	Siddharth Somasundaram · Akshat Dave · Connor Henley · Ashok Veeraraghavan · Ramesh Raskar	N/A	Code
Shape-Aware Text-Driven Layered Video Editing	Yao-Chih Lee · Ji-Ze Genevieve Jang · Yi-Ting Chen · Elizabeth Qiu · Jia-Bin Huang	N/A	Code
FlexiViT: One Model for All Patch Sizes	Lucas Beyer · Pavel Izmailov · Alexander Kolesnikov · Mathilde Caron · Simon Kornblith · Xiaohua Zhai · Matthias Minderer · Michael Tschannen · Ibrahim Alabdulmohsin · Filip Pavetic	N/A	Code
Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks	Binghui Wang · Meng Pang · Yun Dong	N/A	Code
HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling	Yujian Zheng · Zirong Jin · Moran Li · Haibin Huang · Chongyang Ma · Shuguang Cui · Xiaoguang Han	N/A	Code
RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval	Yanglin Feng · Hongyuan Zhu · Dezhong Peng · Xi Peng · Peng Hu	N/A	Code
Learning Federated Visual Prompt in Null Space for MRI Reconstruction	Chun-Mei Feng · Bangjun Li · Xinxing Xu · Yong Liu · Huazhu Fu · Wangmeng Zuo	N/A	Code
VGFlow: Visibility Guided Flow Network for Human Reposing	Rishabh Jain · Krishna Kumar Singh · Mayur Hemani · Jingwan Lu · Mausoom Sarkar · Duygu Ceylan · Balaji Krishnamurthy	N/A	Code
Learning Attention As Disentangler for Compositional Zero-Shot Learning	Shaozhe Hao · Kai Han · Kwan-Yee K. Wong	N/A	Code
PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces	Yiqun Wang · Ivan Skorokhodov · Peter Wonka	N/A	Code
Perception-Oriented Single Image Super-Resolution Using Optimal Objective Estimation	Seung Ho Park · Young Su Moon · Nam Ik Cho	N/A	Code
Learning To Exploit Temporal Structure for Biomedical Vision–Language Processing	Shruthi Bannur · Stephanie Hyland · Qianchu Liu · Fernando Pérez-García · Maximilian Ilse · Daniel C. Castro · Benedikt Boecking · Harshita Sharma · Kenza Bouzid · Anja Thieme · Anton Schwaighofer · Maria Wetscherek · Matthew P. Lungren · Aditya Nori · Javier Alvarez-Valle · Ozan Oktay	N/A	Code
TRACE: 5D Temporal Regression of Avatars With Dynamic Cameras in 3D Environments	Yu Sun · Qian Bao · Wu Liu · Tao Mei · Michael J. Black	N/A	Code
Neumann Network With Recursive Kernels for Single Image Defocus Deblurring	Yuhui Quan · Zicong Wu · Hui Ji	N/A	Code
Guiding Pseudo-Labels With Uncertainty Estimation for Source-Free Unsupervised Domain Adaptation	Mattia Litrico · Alessio Del Bue · Pietro Morerio	N/A	Code
PlaneDepth: Self-Supervised Depth Estimation via Orthogonal Planes	Ruoyu Wang · Zehao Yu · Shenghua Gao	N/A	Code
Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference	Haoran You · Yunyang Xiong · Xiaoliang Dai · Bichen Wu · Peizhao Zhang · Haoqi Fan · Peter Vajda · Yingyan (Celine) Lin	N/A	Code
Attention-Based Point Cloud Edge Sampling	Chengzhi Wu · Junwei Zheng · Julius Pfrommer · Jürgen Beyerer	N/A	Code
Structured 3D Features for Reconstructing Controllable Avatars	Enric Corona · Mihai Zanfir · Thiemo Alldieck · Eduard Gabriel Bazavan · Andrei Zanfir · Cristian Sminchisescu	N/A	Code
Zero-Shot Referring Image Segmentation With Global-Local Context Features	Seonghoon Yu · Paul Hongsuck Seo · Jeany Son	N/A	Code
CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective	Junwen Xiong · Ganglai Wang · Peng Zhang · Wei Huang · Yufei Zha · Guangtao Zhai	N/A	Code
Context-Aware Relative Object Queries To Unify Video Instance and Panoptic Segmentation	Anwesa Choudhuri · Girish Chowdhary · Alexander G. Schwing	N/A	Code
Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields	Rohith Agaram · Shaurya Dewan · Rahul Sajnani · Adrien Poulenard · Madhava Krishna · Srinath Sridhar	N/A	Code
Decoupled Multimodal Distilling for Emotion Recognition	Yong Li · Yuanzhi Wang · Zhen Cui	N/A	Code
TensoIR: Tensorial Inverse Rendering	Haian Jin · Isabella Liu · Peijia Xu · Xiaoshuai Zhang · Songfang Han · Sai Bi · Xiaowei Zhou · Zexiang Xu · Hao Su	N/A	Code
Zero-Shot Generative Model Adaptation via Image-Specific Prompt Learning	Jiayi Guo · Chaofei Wang · You Wu · Eric Zhang · Kai Wang · Xingqian Xu · Shiji Song · Humphrey Shi · Gao Huang	N/A	Code
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection	Jiawei Ma · Yulei Niu · Jincheng Xu · Shiyuan Huang · Guangxing Han · Shih-Fu Chang	N/A	Code
Unbalanced Optimal Transport: A Unified Framework for Object Detection	Henri De Plaen · Pierre-François De Plaen · Johan A. K. Suykens · Marc Proesmans · Tinne Tuytelaars · Luc Van Gool	N/A	Code
NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation	Yu Yin · Kamran Ghasedi · HsiangTao Wu · Jiaolong Yang · Xin Tong · Yun Fu	N/A	Code
Masked Image Training for Generalizable Deep Image Denoising	Haoyu Chen · Jinjin Gu · Yihao Liu · Salma Abdel Magid · Chao Dong · Qiong Wang · Hanspeter Pfister · Lei Zhu	N/A	Code
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation	Mayu Otani · Riku Togashi · Yu Sawai · Ryosuke Ishigami · Yuta Nakashima · Esa Rahtu · Janne Heikkilä · Shin’ichi Satoh	N/A	Code
Towards Flexible Multi-Modal Document Models	Naoto Inoue · Kotaro Kikuchi · Edgar Simo-Serra · Mayu Otani · Kota Yamaguchi	N/A	Code
Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style	Fengyin Lin · Mingkang Li · Da Li · Timothy Hospedales · Yi-Zhe Song · Yonggang Qi	N/A	Code
LidarGait: Benchmarking 3D Gait Recognition With Point Clouds	Chuanfu Shen · Chao Fan · Wei Wu · Rui Wang · George Q. Huang · Shiqi Yu	N/A	Code
OpenGait: Revisiting Gait Recognition Towards Better Practicality	Chao Fan · Junhao Liang · Chuanfu Shen · Saihui Hou · Yongzhen Huang · Shiqi Yu	N/A	Code
Towards Unsupervised Object Detection From LiDAR Point Clouds	Lunjun Zhang · Anqi Joyce Yang · Yuwen Xiong · Sergio Casas · Bin Yang · Mengye Ren · Raquel Urtasun	N/A	Code
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images	Ming Y. Lu · Bowen Chen · Andrew Zhang · Drew F. K. Williamson · Richard J. Chen · Tong Ding · Long Phi Le · Yung-Sung Chuang · Faisal Mahmood	N/A	Code
DivClust: Controlling Diversity in Deep Clustering	Ioannis Maniadis Metaxas · Georgios Tzimiropoulos · Ioannis Patras	N/A	Code
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning	Runqi Wang · Xiaoyue Duan · Guoliang Kang · Jianzhuang Liu · Shaohui Lin · Songcen Xu · Jinhu Lü · Baochang Zhang	N/A	Code
Unsupervised Continual Semantic Adaptation Through Neural Rendering	Zhizheng Liu · Francesco Milano · Jonas Frey · Roland Siegwart · Hermann Blum · Cesar Cadena	N/A	Code
Semi-Supervised Parametric Real-World Image Harmonization	Ke Wang · Michaël Gharbi · He Zhang · Zhihao Xia · Eli Shechtman	N/A	Code
EqMotion: Equivariant Multi-Agent Motion Prediction With Invariant Interaction Reasoning	Chenxin Xu · Robby T. Tan · Yuhong Tan · Siheng Chen · Yu Guang Wang · Xinchao Wang · Yanfeng Wang	N/A	Code
BUOL: A Bottom-Up Framework With Occupancy-Aware Lifting for Panoptic 3D Scene Reconstruction From a Single Image	Tao Chu · Pan Zhang · Qiong Liu · Jiaqi Wang	N/A	Code
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation	Ning Zhang · Francesco Nex · George Vosselman · Norman Kerle	N/A	Code
Novel-View Acoustic Synthesis	Changan Chen · Alexander Richard · Roman Shapovalov · Vamsi Krishna Ithapu · Natalia Neverova · Kristen Grauman · Andrea Vedaldi	N/A	Code
Audio-Visual Grouping Network for Sound Localization From Mixtures	Shentong Mo · Yapeng Tian	N/A	Code
Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations	Sagnik Majumder · Hao Jiang · Pierre Moulon · Ethan Henderson · Paul Calamia · Kristen Grauman · Vamsi Krishna Ithapu	N/A	Code
ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders	Sanghyun Woo · Shoubhik Debnath · Ronghang Hu · Xinlei Chen · Zhuang Liu · In So Kweon · Saining Xie	N/A	Code
Collaboration Helps Camera Overtake LiDAR in 3D Detection	Yue Hu · Yifan Lu · Runsheng Xu · Weidi Xie · Siheng Chen · Yanfeng Wang	N/A	Code
Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment	Runqi Wang · Hao Zheng · Xiaoyue Duan · Jianzhuang Liu · Yuning Lu · Tian Wang · Songcen Xu · Baochang Zhang	N/A	Code
MetaCLUE: Towards Comprehensive Visual Metaphors Research	Arjun R. Akula · Brendan Driscoll · Pradyumna Narayana · Soravit Changpinyo · Zhiwei Jia · Suyash Damle · Garima Pruthi · Sugato Basu · Leonidas Guibas · William Freeman · Yuanzhen Li · Varun Jampani	N/A	Code
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric	Pengxin Zeng · Yunfan Li · Peng Hu · Dezhong Peng · Jiancheng Lv · Xi Peng	N/A	Code
Visual Atoms: Pre-Training Vision Transformers With Sinusoidal Waves	Sora Takashima · Ryo Hayamizu · Nakamasa Inoue · Hirokatsu Kataoka · Rio Yokota	N/A	Code
3D-Aware Multi-Class Image-to-Image Translation With NeRFs	Senmao Li · Joost van de Weijer · Yaxing Wang · Fahad Shahbaz Khan · Meiqin Liu · Jian Yang	N/A	Code
E2PN: Efficient SE(3)-Equivariant Point Network	Minghan Zhu · Maani Ghaffari · William A. Clark · Huei Peng	N/A	Code
PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing	Yichen Sheng · Jianming Zhang · Julien Philip · Yannick Hold-Geoffroy · Xin Sun · He Zhang · Lu Ling · Bedrich Benes	N/A	Code
UniSim: A Neural Closed-Loop Sensor Simulator	Ze Yang · Yun Chen · Jingkang Wang · Sivabalan Manivasagam · Wei-Chiu Ma · Anqi Joyce Yang · Raquel Urtasun	N/A	Code
Occlusion-Free Scene Recovery via Neural Radiance Fields	Chengxuan Zhu · Renjie Wan · Yunkai Tang · Boxin Shi	N/A	Code
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting With Neural Radiance Fields	Ashkan Mirzaei · Tristan Aumentado-Armstrong · Kosta Derpanis · Jonathan Kelly · Marcus A. Brubaker · Igor Gilitschenski · Alex Levinshtein	N/A	Code
Class-Incremental Exemplar Compression for Class-Incremental Learning	Zilin Luo · Yaoyao Liu · Bernt Schiele · Qianru Sun	N/A	Code
DETRs With Hybrid Matching	Ding Jia · Yuhui Yuan · Haodi He · Xiaopei Wu · Haojun Yu · Weihong Lin · Lei Sun · Chao Zhang · Han Hu	N/A	Code
3D Human Mesh Estimation From Virtual Markers	Xiaoxuan Ma · Jiajun Su · Chunyu Wang · Wentao Zhu · Yizhou Wang	N/A	Code
Objaverse: A Universe of Annotated 3D Objects	Matt Deitke · Dustin Schwenk · Jordi Salvador · Luca Weihs · Oscar Michel · Eli VanderBilt · Ludwig Schmidt · Kiana Ehsani · Aniruddha Kembhavi · Ali Farhadi	N/A	Code
Adjustment and Alignment for Unbiased Open Set Domain Adaptation	Wuyang Li · Jie Liu · Bo Han · Yixuan Yuan	N/A	Code
TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition	Ishan Rajendrakumar Dave · Mamshad Nayeem Rizve · Chen Chen · Mubarak Shah	N/A	Code
EfficientSCI: Densely Connected Network With Space-Time Factorization for Large-Scale Video Snapshot Compressive Imaging	Lishun Wang · Miao Cao · Xin Yuan	N/A	Code
Continual Detection Transformer for Incremental Object Detection	Yaoyao Liu · Bernt Schiele · Andrea Vedaldi · Christian Rupprecht	N/A	Code
Hierarchical Prompt Learning for Multi-Task Learning	Yajing Liu · Yuning Lu · Hao Liu · Yaozu An · Zhuoran Xu · Zhuokun Yao · Baofeng Zhang · Zhiwei Xiong · Chenguang Gui	N/A	Code
Boost Vision Transformer With GPU-Friendly Sparsity and Quantization	Chong Yu · Tao Chen · Zhongxue Gan · Jiayuan Fan	N/A	Code
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression	Junho Kim · Byung-Kwan Lee · Yong Man Ro	N/A	Code
Regularizing Second-Order Influences for Continual Learning	Zhicheng Sun · Yadong Mu · Gang Hua	N/A	Code
Heterogeneous Continual Learning	Divyam Madaan · Hongxu Yin · Wonmin Byeon · Jan Kautz · Pavlo Molchanov	N/A	Code
DP-NeRF: Deblurred Neural Radiance Field With Physical Scene Priors	Dogyoon Lee · Minhyeok Lee · Chajin Shin · Sangyoun Lee	N/A	Code
3D-POP – An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds With Marker-Based Motion Capture	Hemal Naik · Alex Hoi Hang Chan · Junran Yang · Mathilde Delacoux · Iain D. Couzin · Fumihiro Kano · Máté Nagy	N/A	Code
Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives	Daniel Widdowson · Vitaliy Kurlin	N/A	Code
Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation	Chunlu Li · Andreas Morel-Forster · Thomas Vetter · Bernhard Egger · Adam Kortylewski	N/A	Code
Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization	Shichao Dong · Jin Wang · Renhe Ji · Jiajun Liang · Haoqiang Fan · Zheng Ge	N/A	Code
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation	Qihao Liu · Adam Kortylewski · Alan L. Yuille	N/A	Code
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking	Yukang Chen · Jianhui Liu · Xiangyu Zhang · Xiaojuan Qi · Jiaya Jia	N/A	Code
1000 FPS HDR Video With a Spike-RGB Hybrid Camera	Yakun Chang · Chu Zhou · Yuchen Hong · Liwen Hu · Chao Xu · Tiejun Huang · Boxin Shi	N/A	Code
How to Backdoor Diffusion Models?	Sheng-Yen Chou · Pin-Yu Chen · Tsung-Yi Ho	N/A	Code
PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification	Meike Nauta · Jörg Schlötterer · Maurice van Keulen · Christin Seifert	N/A	Code
Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers	Siyuan Wei · Tianzhu Ye · Shen Zhang · Yao Tang · Jiajun Liang	N/A	Code
Energy-Efficient Adaptive 3D Sensing	Brevin Tilmon · Zhanghao Sun · Sanjeev J. Koppal · Yicheng Wu · Georgios Evangelidis · Ramzi Zahreddine · Gurunandan Krishnan · Sizhuo Ma · Jian Wang	N/A	Code
Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data	Yuhao Chen · Xin Tan · Borui Zhao · Zhaowei Chen · Renjie Song · Jiajun Liang · Xuequan Lu	N/A	Code
Fix the Noise: Disentangling Source Feature for Controllable Domain Translation	Dongyeun Lee · Jae Young Lee · Doyeon Kim · Jaehyun Choi · Jaejun Yoo · Junmo Kim	N/A	Code
Learning Transferable Spatiotemporal Representations From Natural Script Knowledge	Ziyun Zeng · Yuying Ge · Xihui Liu · Bin Chen · Ping Luo · Shu-Tao Xia · Yixiao Ge	N/A	Code
Side Adapter Network for Open-Vocabulary Semantic Segmentation	Mengde Xu · Zheng Zhang · Fangyun Wei · Han Hu · Xiang Bai	N/A	Code
A Strong Baseline for Generalized Few-Shot Semantic Segmentation	Sina Hajimiri · Malik Boudiaf · Ismail Ben Ayed · Jose Dolz	N/A	Code
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations	Lei Hsiung · Yun-Yun Tsai · Pin-Yu Chen · Tsung-Yi Ho	N/A	Code
Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection	Nishant Kumar · Siniša Šegvić · Abouzar Eslami · Stefan Gumhold	N/A	Code
AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction	Aggelina Chatziagapi · Dimitris Samaras	N/A	Code
Learning Semantic Relationship Among Instances for Image-Text Matching	Zheren Fu · Zhendong Mao · Yan Song · Yongdong Zhang	N/A	Code
Understanding Imbalanced Semantic Segmentation Through Neural Collapse	Zhisheng Zhong · Jiequan Cui · Yibo Yang · Xiaoyang Wu · Xiaojuan Qi · Xiangyu Zhang · Jiaya Jia	N/A	Code
SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates	Mikaela Angelina Uy · Ricardo Martin-Brualla · Leonidas Guibas · Ke Li	N/A	Code
MonoHuman: Animatable Human Neural Field From Monocular Video	Zhengming Yu · Wei Cheng · Xian Liu · Wayne Wu · Kwan-Yee Lin	N/A	Code
Affection: Learning Affective Explanations for Real-World Visual Data	Panos Achlioptas · Maks Ovsjanikov · Leonidas Guibas · Sergey Tulyakov	N/A	Code
Sharpness-Aware Gradient Matching for Domain Generalization	Pengfei Wang · Zhaoxiang Zhang · Zhen Lei · Lei Zhang	N/A	Code
Generalized Decoding for Pixel, Image, and Language	Xueyan Zou · Zi-Yi Dou · Jianwei Yang · Zhe Gan · Linjie Li · Chunyuan Li · Xiyang Dai · Harkirat Behl · Jianfeng Wang · Lu Yuan · Nanyun Peng · Lijuan Wang · Yong Jae Lee · Jianfeng Gao	N/A	Code
How You Feelin’? Learning Emotions and Mental States in Movie Scenes	Dhruv Srivastava · Aditya Kumar Singh · Makarand Tapaswi	N/A	Code
Improving Visual Representation Learning Through Perceptual Understanding	Samyakh Tukra · Frederick Hoffman · Ken Chatfield	N/A	Code
PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering	Han Yan · Celong Liu · Chao Ma · Xing Mei	N/A	Code
HaLP: Hallucinating Latent Positives for Skeleton-Based Self-Supervised Learning of Actions	Anshul Shah · Aniket Roy · Ketul Shah · Shlok Mishra · David Jacobs · Anoop Cherian · Rama Chellappa	N/A	Code
FeatureBooster: Boosting Feature Descriptors With a Lightweight Neural Network	Xinjiang Wang · Zeyu Liu · Yu Hu · Wei Xi · Wenxian Yu · Danping Zou	N/A	Code
ACL-SPC: Adaptive Closed-Loop System for Self-Supervised Point Cloud Completion	Sangmin Hong · Mohsen Yavartanoo · Reyhaneh Neshatavar · Kyoung Mu Lee	N/A	Code
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis	Allan Zhou · Moo Jin Kim · Lirui Wang · Pete Florence · Chelsea Finn	N/A	Code
Query-Centric Trajectory Prediction	Zikang Zhou · Jianping Wang · Yung-Hui Li · Yu-Kai Huang	N/A	Code
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding	Yanmin Wu · Xinhua Cheng · Renrui Zhang · Zesen Cheng · Jian Zhang	N/A	Code
Sliced Optimal Partial Transport	Yikun Bai · Bernhard Schmitzer · Matthew Thorpe · Soheil Kolouri	N/A	Code
PersonNeRF: Personalized Reconstruction From Photo Collections	Chung-Yi Weng · Pratul P. Srinivasan · Brian Curless · Ira Kemelmacher-Shlizerman	N/A	Code
Feature Shrinkage Pyramid for Camouflaged Object Detection With Transformers	Zhou Huang · Hang Dai · Tian-Zhu Xiang · Shuo Wang · Huai-Xin Chen · Jie Qin · Huan Xiong	N/A	Code
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images	Animesh Karnewar · Andrea Vedaldi · David Novotny · Niloy J. Mitra	N/A	Code
Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors	Gongjie Zhang · Zhipeng Luo · Zichen Tian · Jingyi Zhang · Xiaoqin Zhang · Shijian Lu	N/A	Code
Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images	Tiancheng Lin · Zhimiao Yu · Hongyu Hu · Yi Xu · Chang-Wen Chen	N/A	Code
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding	Minyoung Hwang · Jaeyeon Jeong · Minsoo Kim · Yoonseon Oh · Songhwai Oh	N/A	Code
Sketch2Saliency: Learning To Detect Salient Objects From Human Drawings	Ayan Kumar Bhunia · Subhadeep Koley · Amandeep Kumar · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
Picture That Sketch: Photorealistic Image Generation From Abstract Sketches	Subhadeep Koley · Ayan Kumar Bhunia · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not	Aneeshan Sain · Ayan Kumar Bhunia · Pinaki Nath Chowdhury · Subhadeep Koley · Tao Xiang · Yi-Zhe Song	N/A	Code
LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data	Jihye Park · Sunwoo Kim · Soohyun Kim · Seokju Cho · Jaejun Yoo · Youngjung Uh · Seungryong Kim	N/A	Code
Depth Estimation From Indoor Panoramas With Neural Scene Representation	Wenjie Chang · Yueyi Zhang · Zhiwei Xiong	N/A	Code
What Can Human Sketches Do for Object Detection?	Pinaki Nath Chowdhury · Ayan Kumar Bhunia · Aneeshan Sain · Subhadeep Koley · Tao Xiang · Yi-Zhe Song	N/A	Code
SceneTrilogy: On Human Scene-Sketch and Its Complementarity With Photo and Text	Pinaki Nath Chowdhury · Ayan Kumar Bhunia · Aneeshan Sain · Subhadeep Koley · Tao Xiang · Yi-Zhe Song	N/A	Code
Markerless Camera-to-Robot Pose Estimation via Self-Supervised Sim-to-Real Transfer	Jingpei Lu · Florian Richter · Michael C. Yip	N/A	Code
Fine-Grained Audible Video Description	Xuyang Shen · Dong Li · Jinxing Zhou · Zhen Qin · Bowen He · Xiaodong Han · Aixuan Li · Mochu Xiang · Lingpeng Kong · Meng Wang · Yu Qiao · Yiran Zhong	N/A	Code
EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention	Xinyu Liu · Houwen Peng · Ningxin Zheng · Yuqing Yang · Han Hu · Yixuan Yuan	N/A	Code
Relightable Neural Human Assets From Multi-View Gradient Illuminations	Taotao Zhou · Kai He · Di Wu · Teng Xu · Qixuan Zhang · Kuixiang Shao · Wenzheng Chen · Lan Xu · Jingyi Yu	N/A	Code
Music-Driven Group Choreography	Nhat Le · Thang Pham · Tuong Do · Erman Tjiputra · Quang D. Tran · Anh Nguyen	N/A	Code
DIP: Dual Incongruity Perceiving Network for Sarcasm Detection	Changsong Wen · Guoli Jia · Jufeng Yang	N/A	Code
MagicPony: Learning Articulated 3D Animals in the Wild	Shangzhe Wu · Ruining Li · Tomas Jakab · Christian Rupprecht · Andrea Vedaldi	N/A	Code
Preserving Linear Separability in Continual Learning by Backward Feature Projection	Qiao Gu · Dongsub Shim · Florian Shkurti	N/A	Code
Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues	Xingyu Ren · Jiankang Deng · Chao Ma · Yichao Yan · Xiaokang Yang	N/A	Code
HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models	Shan Ning · Longtian Qiu · Yongfei Liu · Xuming He	N/A	Code
Regularization of Polynomial Networks for Image Recognition	Grigorios G. Chrysos · Bohan Wang · Jiankang Deng · Volkan Cevher	N/A	Code
Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR	Aneeshan Sain · Ayan Kumar Bhunia · Subhadeep Koley · Pinaki Nath Chowdhury · Soumitri Chattopadhyay · Tao Xiang · Yi-Zhe Song	N/A	Code
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement	Yuhui Wu · Chen Pan · Guoqing Wang · Yang Yang · Jiwei Wei · Chongyi Li · Heng Tao Shen	N/A	Code
Block Selection Method for Using Feature Norm in Out-of-Distribution Detection	Yeonguk Yu · Sungho Shin · Seongju Lee · Changhyun Jun · Kyoobin Lee	N/A	Code
HouseDiffusion: Vector Floorplan Generation via a Diffusion Model With Discrete and Continuous Denoising	Mohammad Amin Shabani · Sepidehsadat Hosseini · Yasutaka Furukawa	N/A	Code
Integral Neural Networks	Kirill Solodskikh · Azim Kurbanov · Ruslan Aydarkhanov · Irina Zhelavskaya · Yury Parfenov · Dehua Song · Stamatios Lefkimmiatis	N/A	Code
FitMe: Deep Photorealistic 3D Morphable Model Avatars	Alexandros Lattas · Stylianos Moschoglou · Stylianos Ploumpis · Baris Gecer · Jiankang Deng · Stefanos Zafeiriou	N/A	Code
Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment	Kim Sung-Bin · Arda Senocak · Hyunwoo Ha · Andrew Owens · Tae-Hyun Oh	N/A	Code
Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup	Junyoung Byun · Myung-Joon Kwon · Seungju Cho · Yoonji Kim · Changick Kim	N/A	Code
Initialization Noise in Image Gradients and Saliency Maps	Ann-Christin Woerl · Jan Disselhoff · Michael Wand	N/A	Code
Two-Shot Video Object Segmentation	Kun Yan · Xiao Li · Fangyun Wei · Jinglu Wang · Chenbin Zhang · Ping Wang · Yan Lu	N/A	Code
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow	Itai Lang · Dror Aiger · Forrester Cole · Shai Avidan · Michael Rubinstein	N/A	Code
Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM	Hengyi Wang · Jingwen Wang · Lourdes Agapito	N/A	Code
Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation	Shuting He · Henghui Ding · Wei Jiang	N/A	Code
Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments	Masakazu Yoshimura · Junji Otsuka · Atsushi Irie · Takeshi Ohashi	N/A	Code
Diffusion-Based Signed Distance Fields for 3D Shape Generation	Jaehyeok Shim · Changwoo Kang · Kyungdon Joo	N/A	Code
Handwritten Text Generation From Visual Archetypes	Vittorio Pippi · Silvia Cascianelli · Rita Cucchiara	N/A	Code
Novel Class Discovery for 3D Point Cloud Semantic Segmentation	Luigi Riz · Cristiano Saltori · Elisa Ricci · Fabio Poiesi	N/A	Code
DeltaEdit: Exploring Text-Free Training for Text-Driven Image Manipulation	Yueming Lyu · Tianwei Lin · Fu Li · Dongliang He · Jing Dong · Tieniu Tan	N/A	Code
SkyEye: Self-Supervised Bird’s-Eye-View Semantic Mapping Using Monocular Frontal View Images	Nikhil Gosala · Kürsat Petek · Paulo L. J. Drews-Jr · Wolfram Burgard · Abhinav Valada	N/A	Code
Towards Open-World Segmentation of Parts	Tai-Yu Pan · Qing Liu · Wei-Lun Chao · Brian Price	N/A	Code
DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization	Chao Chen · Xinhao Liu · Yiming Li · Li Ding · Chen Feng	N/A	Code
SINE: SINgle Image Editing With Text-to-Image Diffusion Models	Zhixing Zhang · Ligong Han · Arnab Ghosh · Dimitris N. Metaxas · Jian Ren	N/A	Code
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection	Long Li · Junwei Han · Ni Zhang · Nian Liu · Salman Khan · Hisham Cholakkal · Rao Muhammad Anwer · Fahad Shahbaz Khan	N/A	Code
TruFor: Leveraging All-Round Clues for Trustworthy Image Forgery Detection and Localization	Fabrizio Guillaro · Davide Cozzolino · Avneesh Sud · Nicholas Dufour · Luisa Verdoliva	N/A	Code
SeSDF: Self-Evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction	Yukang Cao · Kai Han · Kwan-Yee K. Wong	N/A	Code
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning With Hyperspherical Embeddings	Daniel J. Trosten · Rwiddhi Chakraborty · Sigurd Løkse · Kristoffer Knutsen Wickstrøm · Robert Jenssen · Michael C. Kampffmeyer	N/A	Code
MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis	Tianhong Li · Huiwen Chang · Shlok Mishra · Han Zhang · Dina Katabi · Dilip Krishnan	N/A	Code
Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection	Lianyu Wang · Meng Wang · Daoqiang Zhang · Huazhu Fu	N/A	Code
OvarNet: Towards Open-Vocabulary Object Attribute Recognition	Keyan Chen · Xiaolong Jiang · Yao Hu · Xu Tang · Yan Gao · Jianqi Chen · Weidi Xie	N/A	Code
GINA-3D: Learning To Generate Implicit Neural Assets in the Wild	Bokui Shen · Xinchen Yan · Charles R. Qi · Mahyar Najibi · Boyang Deng · Leonidas Guibas · Yin Zhou · Dragomir Anguelov	N/A	Code
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation	Qitao Zhao · Ce Zheng · Mengyuan Liu · Pichao Wang · Chen Chen	N/A	Code
Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization	Huan Ren · Wenfei Yang · Tianzhu Zhang · Yongdong Zhang	N/A	Code
Learning Partial Correlation Based Deep Visual Representation for Image Classification	Saimunur Rahman · Piotr Koniusz · Lei Wang · Luping Zhou · Peyman Moghadam · Changming Sun	N/A	Code
Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph	Rixin Zhou · Jiafu Wei · Qian Zhang · Ruihua Qi · Xi Yang · Chuntao Li	N/A	Code
DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects	Chen Bao · Helin Xu · Yuzhe Qin · Xiaolong Wang	N/A	Code
Modeling the Distributional Uncertainty for Salient Object Detection Models	Xinyu Tian · Jing Zhang · Mochu Xiang · Yuchao Dai	N/A	Code
Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces	Fahad Shamshad · Koushik Srivatsan · Karthik Nandakumar	N/A	Code
Scene-Aware Egocentric 3D Human Pose Estimation	Jian Wang · Diogo Luvizon · Weipeng Xu · Lingjie Liu · Kripasindhu Sarkar · Christian Theobalt	N/A	Code
Camouflaged Instance Segmentation via Explicit De-Camouflaging	Naisong Luo · Yuwen Pan · Rui Sun · Tianzhu Zhang · Zhiwei Xiong · Feng Wu	N/A	Code
N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution	Haram Choi · Jeongmin Lee · Jihoon Yang	N/A	Code
Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding	Gyeongman Kim · Hajin Shim · Hyunsu Kim · Yunjey Choi · Junho Kim · Eunho Yang	N/A	Code
GLIGEN: Open-Set Grounded Text-to-Image Generation	Yuheng Li · Haotian Liu · Qingyang Wu · Fangzhou Mu · Jianwei Yang · Jianfeng Gao · Chunyuan Li · Yong Jae Lee	N/A	Code
Balanced Spherical Grid for Egocentric View Synthesis	Changwoon Choi · Sang Min Kim · Young Min Kim	N/A	Code
V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception	Runsheng Xu · Xin Xia · JINLONG LI · Hanzhao Li · Shuo Zhang · Zhengzhong Tu · Zonglin Meng · Hao Xiang · Xiaoyu Dong · Rui Song · Hongkai Yu · Bolei Zhou · Jiaqi Ma	N/A	Code
VindLU: A Recipe for Effective Video-and-Language Pretraining	Feng Cheng · Xizi Wang · Jie Lei · David Crandall · Mohit Bansal · Gedas Bertasius	N/A	Code
FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation	Jie Qin · Jie Wu · Pengxiang Yan · Ming Li · Ren Yuxi · Xuefeng Xiao · Yitong Wang · Rui Wang · Shilei Wen · Xin Pan · Xingang Wang	N/A	Code
NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization	Zhixiang Min · Bingbing Zhuang · Samuel Schulter · Buyu Liu · Enrique Dunn · Manmohan Chandraker	N/A	Code
ABCD: Arbitrary Bitwise Coefficient for De-Quantization	Woo Kyoung Han · Byeonghun Lee · Sang Hyun Park · Kyong Hwan Jin	N/A	Code
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery	Sheng Zhang · Salman Khan · Zhiqiang Shen · Muzammal Naseer · Guangyi Chen · Fahad Shahbaz Khan	N/A	Code
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives	Chuntao Ding · Zhichao Lu · Shangguang Wang · Ran Cheng · Vishnu Naresh Boddeti	N/A	Code
MaPLe: Multi-Modal Prompt Learning	Muhammad Uzair Khattak · Hanoona Rasheed · Muhammad Maaz · Salman Khan · Fahad Shahbaz Khan	N/A	Code
Revisiting Residual Networks for Adversarial Robustness	Shihua Huang · Zhichao Lu · Kalyanmoy Deb · Vishnu Naresh Boddeti	N/A	Code
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification	Youngwook Kim · Jae Myung Kim · Jieun Jeong · Cordelia Schmid · Zeynep Akata · Jungwoo Lee	N/A	Code
Human Pose Estimation in Extremely Low-Light Conditions	Sohyun Lee · Jaesung Rim · Boseung Jeong · Geonu Kim · Byungju Woo · Haechan Lee · Sunghyun Cho · Suha Kwak	N/A	Code
Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution	Chenfan Qu · Chongyu Liu · Yuliang Liu · Xinhong Chen · Dezhi Peng · Fengjun Guo · Lianwen Jin	N/A	Code
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene	Minjung Son · Jeong Joon Park · Leonidas Guibas · Gordon Wetzstein	N/A	Code
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms	Qiuhong Anna Wei · Sijie Ding · Jeong Joon Park · Rahul Sajnani · Adrien Poulenard · Srinath Sridhar · Leonidas Guibas	N/A	Code
MACARONS: Mapping and Coverage Anticipation With RGB Online Self-Supervision	Antoine Guédon · Tom Monnier · Pascal Monasse · Vincent Lepetit	N/A	Code
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction	Zhen Wang · Shijie Zhou · Jeong Joon Park · Despoina Paschalidou · Suya You · Gordon Wetzstein · Leonidas Guibas · Achuta Kadambi	N/A	Code
Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos	Rohit Gupta · Anirban Roy · Claire Christensen · Sujeong Kim · Sarah Gerard · Madeline Cincebeaux · Ajay Divakaran · Todd Grindal · Mubarak Shah	N/A	Code
DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network	Xuan Shen · Yaohua Wang · Ming Lin · Yilun Huang · Hao Tang · Xiuyu Sun · Yanzhi Wang	N/A	Code
ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects	Marco Toschi · Riccardo De Matteo · Riccardo Spezialetti · Daniele De Gregorio · Luigi Di Stefano · Samuele Salti	N/A	Code
Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields	Brian K. S. Isaac-Medina · Chris G. Willcocks · Toby P. Breckon	N/A	Code
A Generalized Framework for Video Instance Segmentation	Miran Heo · Sukjun Hwang · Jeongseok Hyun · Hanjung Kim · Seoung Wug Oh · Joon-Young Lee · Seon Joo Kim	N/A	Code
Video Probabilistic Diffusion Models in Projected Latent Space	Sihyun Yu · Kihyuk Sohn · Subin Kim · Jinwoo Shin	N/A	Code
X-Avatar: Expressive Human Avatars	Kaiyue Shen · Chen Guo · Manuel Kaufmann · Juan Jose Zarate · Julien Valentin · Jie Song · Otmar Hilliges	N/A	Code
Hi4D: 4D Instance Segmentation of Close Human Interaction	Yifei Yin · Chen Guo · Manuel Kaufmann · Juan Jose Zarate · Jie Song · Otmar Hilliges	N/A	Code
Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction	Bin Fan · Yuxin Mao · Mochu Xiang · Zhexiong Wan · Qi Liu	N/A	Code
Vita-CLIP: Video and Text Adaptive CLIP via Multimodal Prompting	Syed Talal Wasim · Muzammal Naseer · Salman Khan · Fahad Shahbaz Khan · Mubarak Shah	N/A	Code
MaskSketch: Unpaired Structure-Guided Masked Image Generation	Dina Bashkirova · José Lezama · Kihyuk Sohn · Kate Saenko · Irfan Essa	N/A	Code
Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning	Zhuowan Li · Xingrui Wang · Elias Stengel-Eskin · Adam Kortylewski · Wufei Ma · Benjamin Van Durme · Alan L. Yuille	N/A	Code
CREPE: Can Vision-Language Foundation Models Reason Compositionally?	Zixian Ma · Jerry Hong · Mustafa Omer Gul · Mona Gandhi · Irena Gao · Ranjay Krishna	N/A	Code
ORCa: Glossy Objects As Radiance-Field Cameras	Kushagra Tiwary · Akshat Dave · Nikhil Behari · Tzofi Klinghoffer · Ashok Veeraraghavan · Ramesh Raskar	N/A	Code
Learning Common Rationale To Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems	Yangyang Shu · Anton van den Hengel · Lingqiao Liu	N/A	Code
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving	Ben Agro · Quinlan Sykora · Sergio Casas · Raquel Urtasun	N/A	Code
Improved Test-Time Adaptation for Domain Generalization	Liang Chen · Yong Zhang · Yibing Song · Ying Shan · Lingqiao Liu	N/A	Code
Wavelet Diffusion Models Are Fast and Scalable Image Generators	Hao Phung · Quan Dao · Anh Tran	N/A	Code
Robust Dynamic Radiance Fields	Yu-Lun Liu · Chen Gao · Andréas Meuleman · Hung-Yu Tseng · Ayush Saraf · Changil Kim · Yung-Yu Chuang · Johannes Kopf · Jia-Bin Huang	N/A	Code
MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation	Simon Suo · Kelvin Wong · Justin Xu · James Tu · Alexander Cui · Sergio Casas · Raquel Urtasun	N/A	Code
Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement	Nancy Mehta · Akshay Dudhane · Subrahmanyam Murala · Syed Waqas Zamir · Salman Khan · Fahad Shahbaz Khan	N/A	Code
Class Adaptive Network Calibration	Bingyuan Liu · Jérôme Rony · Adrian Galdran · Jose Dolz · Ismail Ben Ayed	N/A	Code
PROB: Probabilistic Objectness for Open World Object Detection	Orr Zohar · Kuan-Chieh Wang · Serena Yeung	N/A	Code
Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation	Min Shi · Zihao Huang · Xianzheng Ma · Xiaowei Hu · Zhiguo Cao	N/A	Code
HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering	Bang-Dang Pham · Phong Tran · Anh Tran · Cuong Pham · Rang Nguyen · Minh Hoai	N/A	Code
On the Effects of Self-Supervision and Contrastive Alignment in Deep Multi-View Clustering	Daniel J. Trosten · Sigurd Løkse · Robert Jenssen · Michael C. Kampffmeyer	N/A	Code
Visual Prompt Tuning for Generative Transfer Learning	Kihyuk Sohn · Huiwen Chang · José Lezama · Luisa Polania · Han Zhang · Yuan Hao · Irfan Essa · Lu Jiang	N/A	Code
Towards End-to-End Generative Modeling of Long Videos With Memory-Efficient Bidirectional Transformers	Jaehoon Yoo · Semin Kim · Doyup Lee · Chiheon Kim · Seunghoon Hong	N/A	Code
MAGVIT: Masked Generative Video Transformer	Lijun Yu · Yong Cheng · Kihyuk Sohn · José Lezama · Han Zhang · Huiwen Chang · Alexander G. Hauptmann · Ming-Hsuan Yang · Yuan Hao · Irfan Essa · Lu Jiang	N/A	Code
NICO++: Towards Better Benchmarking for Domain Generalization	Xingxuan Zhang · Yue He · Renzhe Xu · Han Yu · Zheyan Shen · Peng Cui	N/A	Code
Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization	Xingxuan Zhang · Renzhe Xu · Han Yu · Hao Zou · Peng Cui	N/A	Code
All-in-Focus Imaging From Event Focal Stack	Hanyue Lou · Minggui Teng · Yixin Yang · Boxin Shi	N/A	Code
Clover: Towards a Unified Video-Language Alignment and Fusion Model	Jingjia Huang · Yinan Li · Jiashi Feng · Xinglong Wu · Xiaoshuai Sun · Rongrong Ji	N/A	Code
UMat: Uncertainty-Aware Single Image High Resolution Material Capture	Carlos Rodriguez-Pardo · Henar Domínguez-Elvira · David Pascual-Hernández · Elena Garces	N/A	Code
Polarimetric iToF: Measuring High-Fidelity Depth Through Scattering Media	Daniel S. Jeon · Andréas Meuleman · Seung-Hwan Baek · Min H. Kim	N/A	Code
Freestyle Layout-to-Image Synthesis	Han Xue · Zhiwu Huang · Qianru Sun · Li Song · Wenjun Zhang	N/A	Code
Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior	Yuekun Dai · Yihang Luo · Shangchen Zhou · Chongyi Li · Chen Change Loy	N/A	Code
Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn	Ondrej Bohdal · Yinbing Tian · Yongshuo Zong · Ruchika Chavhan · Da Li · Henry Gouk · Li Guo · Timothy Hospedales	N/A	Code
EXCALIBUR: Encouraging and Evaluating Embodied Exploration	Hao Zhu · Raghav Kapoor · So Yeon Min · Winson Han · Jiatai Li · Kaiwen Geng · Graham Neubig · Yonatan Bisk · Aniruddha Kembhavi · Luca Weihs	N/A	Code
Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns	Bartłomiej Olber · Krystian Radlak · Adam Popowicz · Michal Szczepankiewicz · Krystian Chachuła	N/A	Code
Shakes on a Plane: Unsupervised Depth Estimation From Unstabilized Photography	Ilya Chugunov · Yuxuan Zhang · Felix Heide	N/A	Code
JacobiNeRF: NeRF Shaping With Mutual Information Gradients	Xiaomeng Xu · Yanchao Yang · Kaichun Mo · Boxiao Pan · Li Yi · Leonidas Guibas	N/A	Code
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers	Jihao Liu · Xin Huang · Jinliang Zheng · Yu Liu · Hongsheng Li	N/A	Code
Synthesizing Photorealistic Virtual Humans Through Cross-Modal Disentanglement	Siddarth Ravichandran · Ondřej Texler · Dimitar Dinev · Hyun Jae Kang	N/A	Code
CIMI4D: A Large Multimodal Climbing Motion Dataset Under Human-Scene Interactions	Ming Yan · Xin Wang · Yudi Dai · Siqi Shen · Chenglu Wen · Lan Xu · Yuexin Ma · Cheng Wang	N/A	Code
SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments	Yudi Dai · Yitai Lin · Xiping Lin · Chenglu Wen · Lan Xu · Hongwei Yi · Siqi Shen · Yuexin Ma · Cheng Wang	N/A	Code
Viewpoint Equivariance for Multi-View 3D Object Detection	Dian Chen · Jie Li · Vitor Guizilini · Rares Andrei Ambrus · Adrien Gaidon	N/A	Code
Balanced Product of Calibrated Experts for Long-Tailed Recognition	Emanuel Sanchez Aimar · Arvi Jonnarth · Michael Felsberg · Marco Kuhlmann	N/A	Code
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation	Mario Döbler · Robert A. Marsden · Bin Yang	N/A	Code
Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation	Sara Sarto · Manuele Barraco · Marcella Cornia · Lorenzo Baraldi · Rita Cucchiara	N/A	Code
BITE: Beyond Priors for Improved Three-D Dog Pose Estimation	Nadine Rüegg · Shashank Tripathi · Konrad Schindler · Michael J. Black · Silvia Zuffi	N/A	Code
SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction	Zhizhuo Zhou · Shubham Tulsiani	N/A	Code
PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation	Liwen Zhang · Xinyan Zhang · Youcheng Zhang · Yufei Guo · Yuanpei Chen · Xuhui Huang · Zhe Ma	N/A	Code
Masked Wavelet Representation for Compact Neural Radiance Fields	Daniel Rho · Byeonghyeon Lee · Seungtae Nam · Joo Chan Lee · Jong Hwan Ko · Eunbyung Park	N/A	Code
Guided Depth Super-Resolution by Deep Anisotropic Diffusion	Nando Metzger · Rodrigo Caye Daudt · Konrad Schindler	N/A	Code
Masked Images Are Counterfactual Samples for Robust Fine-Tuning	Yao Xiao · Ziyi Tang · Pengxu Wei · Cong Liu · Liang Lin	N/A	Code
Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration	Guofeng Mei · Hao Tang · Xiaoshui Huang · Weijie Wang · Juan Liu · Jian Zhang · Luc Van Gool · Qiang Wu	N/A	Code
ECON: Explicit Clothed Humans Optimized via Normal Integration	Yuliang Xiu · Jinlong Yang · Xu Cao · Dimitrios Tzionas · Michael J. Black	N/A	Code
GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection	Xixi Liu · Yaroslava Lochman · Christopher Zach	N/A	Code
OCTET: Object-Aware Counterfactual Explanations	Mehdi Zemni · Mickaël Chen · Éloi Zablocki · Hédi Ben-Younes · Patrick Pérez · Matthieu Cord	N/A	Code
Consistent View Synthesis With Pose-Guided Diffusion Models	Hung-Yu Tseng · Qinbo Li · Changil Kim · Suhib Alsisan · Jia-Bin Huang · Johannes Kopf	N/A	Code
GFPose: Learning 3D Human Pose Prior With Gradient Fields	Hai Ci · Mingdong Wu · Wentao Zhu · Xiaoxuan Ma · Hao Dong · Fangwei Zhong · Yizhou Wang	N/A	Code
Bayesian Posterior Approximation With Stochastic Ensembles	Oleksandr Balabanov · Bernhard Mehlig · Hampus Linander	N/A	Code
Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image	Donggun Kim · Hyeonjoong Jang · Inchul Kim · Min H. Kim	N/A	Code
Octree Guided Unoriented Surface Reconstruction	Chamin Hewa Koneputugodage · Yizhak Ben-Shabat · Stephen Gould	N/A	Code
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning	Chia-Wen Kuo · Zsolt Kira	N/A	Code
SUDS: Scalable Urban Dynamic Scenes	Haithem Turki · Jason Y. Zhang · Francesco Ferroni · Deva Ramanan	N/A	Code
Harmonious Feature Learning for Interactive Hand-Object Pose Estimation	Zhifeng Lin · Changxing Ding · Huan Yao · Zengsheng Kuang · Shaoli Huang	N/A	Code
Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer	Agus Gunawan · Soo Ye Kim · Hyeonjun Sim · Jae-Ho Lee · Munchurl Kim	N/A	Code
Trainable Projected Gradient Method for Robust Fine-Tuning	Junjiao Tian · Zecheng He · Xiaoliang Dai · Chih-Yao Ma · Yen-Cheng Liu · Zsolt Kira	N/A	Code
OReX: Object Reconstruction From Planar Cross-Sections Using Neural Fields	Haim Sawdayee · Amir Vaxman · Amit H. Bermano	N/A	Code
CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects	Nick Heppert · Zubair Irshad · Sergey Zakharov · Katherine Liu · Rares Andrei Ambrus · Jeannette Bohg · Abhinav Valada · Thomas Kollar	N/A	Code
ACR: Attention Collaboration-Based Regressor for Arbitrary Two-Hand Reconstruction	Zhengdi Yu · Shaoli Huang · Chen Fang · Toby P. Breckon · Jue Wang	N/A	Code
Perception and Semantic Aware Regularization for Sequential Confidence Calibration	Zhenghua Peng · Yu Luo · Tianshui Chen · Keke Xu · Shuangping Huang	N/A	Code
Crowd3D: Towards Hundreds of People Reconstruction From a Single Image	Hao Wen · Jing Huang · Huili Cui · Haozhe Lin · Yu-Kun Lai · Lu Fang · Kun Li	N/A	Code
ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation	Ziqin Zhou · Yinjie Lei · Bowen Zhang · Lingqiao Liu · Yifan Liu	N/A	Code
Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing	Xiaokun Sun · Qiao Feng · Xiongzheng Li · Jinsong Zhang · Yu-Kun Lai · Jingyu Yang · Kun Li	N/A	Code
Skinned Motion Retargeting With Residual Perception of Motion Semantics & Geometry	Jiaxu Zhang · Junwu Weng · Di Kang · Fang Zhao · Shaoli Huang · Xuefei Zhe · Linchao Bao · Ying Shan · Jue Wang · Zhigang Tu	N/A	Code
Unknown Sniffer for Object Detection: Don’t Turn a Blind Eye to Unknown Objects	Wenteng Liang · Feng Xue · Yihao Liu · Guofeng Zhong · Anlong Ming	N/A	Code
RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving	Angelika Ando · Spyros Gidaris · Andrei Bursuc · Gilles Puy · Alexandre Boulch · Renaud Marlet	N/A	Code
3D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data	Libing Zeng · Lele Chen · Wentao Bao · Zhong Li · Yi Xu · Junsong Yuan · Nima Khademi Kalantari	N/A	Code
Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data	Paul Hager · Martin J. Menten · Daniel Rueckert	N/A	Code
JRDB-Pose: A Large-Scale Dataset for Multi-Person Pose Estimation and Tracking	Edward Vendrow · Tho Le · Jianfei Cai · Hamid Rezatofighi	N/A	Code
Consistent Direct Time-of-Flight Video Depth Super-Resolution	Zhanghao Sun · Wei Ye · Jinhui Xiong · Gyeongmin Choe · Jialiang Wang · Shuochen Su · Rakesh Ranjan	N/A	Code
Correlational Image Modeling for Self-Supervised Visual Pre-Training	Wei Li · Jiahao Xie · Chen Change Loy	N/A	Code
CelebV-Text: A Large-Scale Facial Text-Video Dataset	Jianhui Yu · Hao Zhu · Liming Jiang · Chen Change Loy · Weidong Cai · Wayne Wu	N/A	Code
Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning	Wei Ji · Renjie Liang · Zhedong Zheng · Wenqiao Zhang · Shengyu Zhang · Juncheng Li · Mengze Li · Tat-seng Chua	N/A	Code
Learning 3D Scene Priors With 2D Supervision	Yinyu Nie · Angela Dai · Xiaoguang Han · Matthias Nießner	N/A	Code
Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera	Ruicheng Feng · Chongyi Li · Huaijin Chen · Shuai Li · Jinwei Gu · Chen Change Loy	N/A	Code
Siamese DETR	Zeren Chen · Gengshi Huang · Wei Li · Jianing Teng · Kun Wang · Jing Shao · Chen Change Loy · Lu Sheng	N/A	Code
Panoptic Video Scene Graph Generation	Jingkang Yang · Wenxuan Peng · Xiangtai Li · Zujin Guo · Liangyu Chen · Bo Li · Zheng Ma · Kaiyang Zhou · Wayne Zhang · Chen Change Loy · Ziwei Liu	N/A	Code
Randomized Adversarial Training via Taylor Expansion	Gaojie Jin · Xinping Yi · Dengyu Wu · Ronghui Mu · Xiaowei Huang	N/A	Code
Task Residual for Tuning Vision-Language Models	Tao Yu · Zhihe Lu · Xin Jin · Zhibo Chen · Xinchao Wang	N/A	Code
PACO: Parts and Attributes of Common Objects	Vignesh Ramanathan · Anmol Kalia · Vladan Petrovic · Yi Wen · Baixue Zheng · Baishan Guo · Rui Wang · Aaron Marquez · Rama Kovvuri · Abhishek Kadian · Amir Mousavi · Yiwen Song · Abhimanyu Dubey · Dhruv Mahajan	N/A	Code
CloSET: Modeling Clothed Humans on Continuous Surface With Explicit Template Decomposition	Hongwen Zhang · Siyou Lin · Ruizhi Shao · Yuxiang Zhang · Zerong Zheng · Han Huang · Yandong Guo · Yebin Liu	N/A	Code
Transductive Few-Shot Learning With Prototype-Based Label Propagation by Iterative Graph Refinement	Hao Zhu · Piotr Koniusz	N/A	Code
DualVector: Unsupervised Vector Font Synthesis With Dual-Part Representation	Ying-Tian Liu · Zhifei Zhang · Yuan-Chen Guo · Matthew Fisher · Zhaowen Wang · Song-Hai Zhang	N/A	Code
Invertible Neural Skinning	Yash Kant · Aliaksandr Siarohin · Riza Alp Guler · Menglei Chai · Jian Ren · Sergey Tulyakov · Igor Gilitschenski	N/A	Code
Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars	Jingxiang Sun · Xuan Wang · Lizhen Wang · Xiaoyu Li · Yong Zhang · Hongwen Zhang · Yebin Liu	N/A	Code
Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding	Morris Alper · Michael Fiman · Hadar Averbuch-Elor	N/A	Code
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning	James Seale Smith · Paola Cascante-Bonilla · Assaf Arbelle · Donghyun Kim · Rameswar Panda · David Cox · Diyi Yang · Zsolt Kira · Rogerio Feris · Leonid Karlinsky	N/A	Code
LINe: Out-of-Distribution Detection by Leveraging Important Neurons	Yong Hyun Ahn · Gyeong-Moon Park · Seong Tae Kim	N/A	Code
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models	Zhiqiu Lin · Samuel Yu · Zhiyi Kuang · Deepak Pathak · Deva Ramanan	N/A	Code
Panoptic Lifting for 3D Scene Understanding With Neural Fields	Yawar Siddiqui · Lorenzo Porzi · Samuel Rota Bulò · Norman Müller · Matthias Nießner · Angela Dai · Peter Kontschieder	N/A	Code
GamutMLP: A Lightweight MLP for Color Loss Recovery	Hoang M. Le · Brian Price · Scott Cohen · Michael S. Brown	N/A	Code
DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction	Dae-Young Song · HeeKyung Lee · Jeongil Seo · Donghyeon Cho	N/A	Code
NLOST: Non-Line-of-Sight Imaging With Transformer	Yue Li · Jiayong Peng · Juntian Ye · Yueyi Zhang · Feihu Xu · Zhiwei Xiong	N/A	Code
SeaThru-NeRF: Neural Radiance Fields in Scattering Media	Deborah Levy · Amit Peleg · Naama Pearl · Dan Rosenbaum · Derya Akkaynak · Simon Korman · Tali Treibitz	N/A	Code
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild	Garrick Brazil · Abhinav Kumar · Julian Straub · Nikhila Ravi · Justin Johnson · Georgia Gkioxari	N/A	Code
Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection	Chuangchuang Tan · Yao Zhao · Shikui Wei · Guanghua Gu · Yunchao Wei	N/A	Code
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation	Naoto Inoue · Kotaro Kikuchi · Edgar Simo-Serra · Mayu Otani · Kota Yamaguchi	N/A	Code
Learning Customized Visual Models With Retrieval-Augmented Knowledge	Haotian Liu · Kilho Son · Jianwei Yang · Ce Liu · Jianfeng Gao · Yong Jae Lee · Chunyuan Li	N/A	Code
MAIR: Multi-View Attention Inverse Rendering With 3D Spatially-Varying Lighting Estimation	JunYong Choi · SeokYeong Lee · Haesol Park · Seung-Won Jung · Ig-Jae Kim · Junghyun Cho	N/A	Code
Generalizing Dataset Distillation via Deep Generative Prior	George Cazenavette · Tongzhou Wang · Antonio Torralba · Alexei A. Efros · Jun-Yan Zhu	N/A	Code
Polarized Color Image Denoising	Zhuoxiao Li · Haiyang Jiang · Mingdeng Cao · Yinqiang Zheng	N/A	Code
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation	Haochen Wang · Xiaodan Du · Jiahao Li · Raymond A. Yeh · Greg Shakhnarovich	N/A	Code
FJMP: Factorized Joint Multi-Agent Motion Prediction Over Learned Directed Acyclic Interaction Graphs	Luke Rowe · Martin Ethier · Eli-Henry Dykhne · Krzysztof Czarnecki	N/A	Code
Mask-Free Video Instance Segmentation	Lei Ke · Martin Danelljan · Henghui Ding · Yu-Wing Tai · Chi-Keung Tang · Fisher Yu	N/A	Code
OVTrack: Open-Vocabulary Multiple Object Tracking	Siyuan Li · Tobias Fischer · Lei Ke · Henghui Ding · Martin Danelljan · Fisher Yu	N/A	Code
LightPainter: Interactive Portrait Relighting With Freehand Scribble	Yiqun Mei · He Zhang · Xuaner Zhang · Jianming Zhang · Zhixin Shu · Yilin Wang · Zijun Wei · Shi Yan · HyunJoon Jung · Vishal M. Patel	N/A	Code
Towards Scalable Neural Representation for Diverse Videos	Bo He · Xitong Yang · Hanyu Wang · Zuxuan Wu · Hao Chen · Shuaiyi Huang · Yixuan Ren · Ser-Nam Lim · Abhinav Shrivastava	N/A	Code
Teaching Matters: Investigating the Role of Supervision in Vision Transformers	Matthew Walmer · Saksham Suri · Kamal Gupta · Abhinav Shrivastava	N/A	Code
FlexNeRF: Photorealistic Free-Viewpoint Rendering of Moving Humans From Sparse Views	Vinoj Jayasundara · Amit Agrawal · Nicolas Heron · Abhinav Shrivastava · Larry S. Davis	N/A	Code
Leveraging Temporal Context in Low Representational Power Regimes	Camilo L. Fosco · SouYoung Jin · Emilie Josephs · Aude Oliva	N/A	Code
Painting 3D Nature in 2D: View Synthesis of Natural Scenes From a Single Semantic Mask	Shangzhan Zhang · Sida Peng · Tianrun Chen · Linzhan Mou · Haotong Lin · Kaicheng Yu · Yiyi Liao · Xiaowei Zhou	N/A	Code
Align and Attend: Multimodal Summarization With Dual Contrastive Losses	Bo He · Jun Wang · Jielin Qiu · Trung Bui · Abhinav Shrivastava · Zhaowen Wang	N/A	Code
SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network	Chuong Huynh · Yuqian Zhou · Zhe Lin · Connelly Barnes · Eli Shechtman · Sohrab Amirghodsi · Abhinav Shrivastava	N/A	Code
NIRVANA: Neural Implicit Representations of Videos With Adaptive Networks and Autoregressive Patch-Wise Modeling	Shishira R Maiya · Sharath Girish · Max Ehrlich · Hanyu Wang · Kwot Sin Lee · Patrick Poirson · Pengxiang Wu · Chen Wang · Abhinav Shrivastava	N/A	Code
Seeing Beyond the Brain: Conditional Diffusion Model With Sparse Masked Modeling for Vision Decoding	Zijiao Chen · Jiaxin Qing · Tiange Xiang · Wan Lin Yue · Juan Helen Zhou	N/A	Code
Position-Guided Text Prompt for Vision-Language Pre-Training	Jinpeng Wang · Pan Zhou · Mike Zheng Shou · Shuicheng Yan	N/A	Code
Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion Estimation	Xueyan Huang · Yueyi Zhang · Zhiwei Xiong	N/A	Code
MIST: Multi-Modal Iterative Spatial-Temporal Transformer for Long-Form Video Question Answering	Difei Gao · Luowei Zhou · Lei Ji · Linchao Zhu · Yi Yang · Mike Zheng Shou	N/A	Code
Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning	Tsai Hor Chan · Fernando Julio Cendra · Lan Ma · Guosheng Yin · Lequan Yu	N/A	Code
Making Vision Transformers Efficient From a Token Sparsification View	Shuning Chang · Pichao Wang · Ming Lin · Fan Wang · David Junhao Zhang · Rong Jin · Mike Zheng Shou	N/A	Code
Leverage Interactive Affinity for Affordance Learning	Hongchen Luo · Wei Zhai · Jing Zhang · Yang Cao · Dacheng Tao	N/A	Code
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection	Fan Lu · Kai Zhu · Wei Zhai · Kecheng Zheng · Yang Cao	N/A	Code
HARP: Personalized Hand Reconstruction From a Monocular RGB Video	Korrawe Karunratanakul · Sergey Prokudin · Otmar Hilliges · Siyu Tang	N/A	Code
Towards Effective Visual Representations for Partial-Label Learning	Shiyu Xia · Jiaqi Lv · Ning Xu · Gang Niu · Xin Geng	N/A	Code
SFD2: Semantic-Guided Feature Detection and Description	Fei Xue · Ignas Budvytis · Roberto Cipolla	N/A	Code
MetaPortrait: Identity-Preserving Talking Head Generation With Fast Personalized Adaptation	Bowen Zhang · Chenyang Qi · Pan Zhang · Bo Zhang · HsiangTao Wu · Dong Chen · Qifeng Chen · Yong Wang · Fang Wen	N/A	Code
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training	Gi-Cheon Kang · Sungdong Kim · Jin-Hwa Kim · Donghyun Kwak · Byoung-Tak Zhang	N/A	Code
Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields	Sungheon Park · Minjung Son · Seokhwan Jang · Young Chun Ahn · Ji-Yeon Kim · Nahyup Kang	N/A	Code
DiGA: Distil To Generalize and Then Adapt for Domain Adaptive Semantic Segmentation	Fengyi Shen · Akhil Gurram · Ziyuan Liu · He Wang · Alois Knoll	N/A	Code
Multimodal Prompting With Missing Modalities for Visual Recognition	Yi-Lun Lee · Yi-Hsuan Tsai · Wei-Chen Chiu · Chen-Yu Lee	N/A	Code
On Calibrating Semantic Segmentation Models: Analyses and an Algorithm	Dongdong Wang · Boqing Gong · Liqiang Wang	N/A	Code
IMP: Iterative Matching and Pose Estimation With Adaptive Pooling	Fei Xue · Ignas Budvytis · Roberto Cipolla	N/A	Code
Grid-Guided Neural Radiance Fields for Large Urban Scenes	Linning Xu · Yuanbo Xiangli · Sida Peng · Xingang Pan · Nanxuan Zhao · Christian Theobalt · Bo Dai · Dahua Lin	N/A	Code
Neural Voting Field for Camera-Space 3D Hand Pose Estimation	Lin Huang · Chung-Ching Lin · Kevin Lin · Lin Liang · Lijuan Wang · Junsong Yuan · Zicheng Liu	N/A	Code
Dense Network Expansion for Class Incremental Learning	Zhiyuan Hu · Yunsheng Li · Jiancheng Lyu · Dashan Gao · Nuno Vasconcelos	N/A	Code
FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre-Training	Yunpeng Han · Lisai Zhang · Qingcai Chen · Zhijian Chen · Zhonghua Li · Jianxin Yang · Zhao Cao	N/A	Code
Batch Model Consolidation: A Multi-Task Model Consolidation Framework	Iordanis Fostiropoulos · Jiaye Zhu · Laurent Itti	N/A	Code
Open-Vocabulary Attribute Detection	María A. Bravo · Sudhanshu Mittal · Simon Ging · Thomas Brox	N/A	Code
Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models	Nithin Gopalakrishnan Nair · Wele Gedara Chaminda Bandara · Vishal M. Patel	N/A	Code
BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection	Lei Yang · Kaicheng Yu · Tao Tang · Jun Li · Kun Yuan · Li Wang · Xinyu Zhang · Peng Chen	N/A	Code
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization	Chen Zhao · Shuming Liu · Karttikeya Mangalam · Bernard Ghanem	N/A	Code
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation	Nazmul Karim · Niluthpol Chowdhury Mithun · Abhinav Rajvanshi · Han-pang Chiu · Supun Samarasekera · Nazanin Rahnavard	N/A	Code
Are Deep Neural Networks SMARTer Than Second Graders?	Anoop Cherian · Kuan-Chuan Peng · Suhas Lohit · Kevin A. Smith · Joshua B. Tenenbaum	N/A	Code
Persistent Nature: A Generative Model of Unbounded 3D Worlds	Lucy Chai · Richard Tucker · Zhengqi Li · Phillip Isola · Noah Snavely	N/A	Code
InternImage: Exploring Large-Scale Vision Foundation Models With Deformable Convolutions	Wenhai Wang · Jifeng Dai · Zhe Chen · Zhenhang Huang · Zhiqi Li · Xizhou Zhu · Xiaowei Hu · Tong Lu · Lewei Lu · Hongsheng Li · Xiaogang Wang · Yu Qiao	N/A	Code
Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth Estimation in Dynamic Scenes	Rui Li · Dong Gong · Wei Yin · Hao Chen · Yu Zhu · Kaixuan Wang · Xiaozhi Chen · Jinqiu Sun · Yanning Zhang	N/A	Code
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets	Mingu Kang · Heon Song · Seonwook Park · Donggeun Yoo · Sérgio Pereira	N/A	Code
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions	Shuxuan Guo · Yinlin Hu · Jose M. Alvarez · Mathieu Salzmann	N/A	Code
Self-Supervised Representation Learning for CAD	Benjamin T. Jones · Michael Hu · Milin Kodnongbua · Vladimir G. Kim · Adriana Schulz	N/A	Code
SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer	Xuanyao Chen · Zhijian Liu · Haotian Tang · Li Yi · Hang Zhao · Song Han	N/A	Code
Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views	Aayush Bansal · Michael Zollhöfer	N/A	Code
ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries	Junru Gu · Chenxu Hu · Tianyuan Zhang · Xuanyao Chen · Yilun Wang · Yue Wang · Hang Zhao	N/A	Code
AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders	Wele Gedara Chaminda Bandara · Naman Patel · Ali Gholami · Mehdi Nikkhah · Motilal Agrawal · Vishal M. Patel	N/A	Code
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning	Xiaoyang Wu · Xin Wen · Xihui Liu · Hengshuang Zhao	N/A	Code
RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer	Jiahao Wang · Songyang Zhang · Yong Liu · Taiqiang Wu · Yujiu Yang · Xihui Liu · Kai Chen · Ping Luo · Dahua Lin	N/A	Code
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation	Devavrat Tomar · Guillaume Vray · Behzad Bozorgtabar · Jean-Philippe Thiran	N/A	Code
ObjectMatch: Robust Registration Using Canonical Object Correspondences	Can Gümeli · Angela Dai · Matthias Nießner	N/A	Code
Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models	Jiale Xu · Xintao Wang · Weihao Cheng · Yan-Pei Cao · Ying Shan · Xiaohu Qie · Shenghua Gao	N/A	Code
SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes	Yiming Gao · Yan-Pei Cao · Ying Shan	N/A	Code
Object Detection With Self-Supervised Scene Adaptation	Zekun Zhang · Minh Hoai	N/A	Code
Megahertz Light Steering Without Moving Parts	Adithya Pediredla · Srinivasa G. Narasimhan · Maysamreza Chamanzar · Ioannis Gkioulekas	N/A	Code
ISBNet: A 3D Point Cloud Instance Segmentation Network With Instance-Aware Sampling and Box-Aware Dynamic Convolution	Tuan Duc Ngo · Binh-Son Hua · Khoi Nguyen	N/A	Code
Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks	Tong Bu · Jianhao Ding · Zecheng Hao · Zhaofei Yu	N/A	Code
PIVOT: Prompting for Video Continual Learning	Andrés Villa · Juan León Alcázar · Motasem Alfarra · Kumail Alhamoud · Julio Hurtado · Fabian Caba Heilbron · Alvaro Soto · Bernard Ghanem	N/A	Code
ARO-Net: Learning Implicit Fields From Anchored Radial Observations	Yizhi Wang · Zeyu Huang · Ariel Shamir · Hui Huang · Hao Zhang · Ruizhen Hu	N/A	Code
Parallel Diffusion Models of Operator and Image for Blind Inverse Problems	Hyungjin Chung · Jeongsol Kim · Sehui Kim · Jong Chul Ye	N/A	Code
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models	Hyungjin Chung · Dohoon Ryu · Michael T. McCann · Marc L. Klasky · Jong Chul Ye	N/A	Code
Affordance Grounding From Demonstration Video To Target Image	Joya Chen · Difei Gao · Kevin Qinghong Lin · Mike Zheng Shou	N/A	Code
Learning Procedure-Aware Video Representation From Instructional Videos and Their Narrations	Yiwu Zhong · Licheng Yu · Yang Bai · Shangwen Li · Xueting Yan · Yin Li	N/A	Code
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors	Chien-Yao Wang · Alexey Bochkovskiy · Hong-Yuan Mark Liao	N/A	Code
OmniCity: Omnipotent City Understanding With Multi-Level and Multi-View Images	Weijia Li · Yawen Lai · Linning Xu · Yuanbo Xiangli · Jinhua Yu · Conghui He · Gui-Song Xia · Dahua Lin	N/A	Code
Object Discovery From Motion-Guided Tokens	Zhipeng Bao · Pavel Tokmakov · Yu-Xiong Wang · Adrien Gaidon · Martial Hebert	N/A	Code
MP-Former: Mask-Piloted Transformer for Image Segmentation	Hao Zhang · Feng Li · Huaizhe Xu · Shijia Huang · Shilong Liu · Lionel M. Ni · Lei Zhang	N/A	Code
Disentangling Writer and Character Styles for Handwriting Generation	Gang Dai · Yifan Zhang · Qingfeng Wang · Qing Du · Zhuliang Yu · Zhuoman Liu · Shuangping Huang	N/A	Code
Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds	Shaowei Liu · Saurabh Gupta · Shenlong Wang	N/A	Code
Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues	Stefanie Walz · Mario Bijelic · Andrea Ramazzina · Amanpreet Walia · Fahim Mannan · Felix Heide	N/A	Code
Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation	Wei Wang · Zhun Zhong · Weijie Wang · Xi Chen · Charles Ling · Boyu Wang · Nicu Sebe	N/A	Code
Perspective Fields for Single Image Camera Calibration	Linyi Jin · Jianming Zhang · Yannick Hold-Geoffroy · Oliver Wang · Kevin Blackburn-Matzen · Matthew Sticha · David F. Fouhey	N/A	Code
Vision Transformers Are Parameter-Efficient Audio-Visual Learners	Yan-Bo Lin · Yi-Lin Sung · Jie Lei · Mohit Bansal · Gedas Bertasius	N/A	Code
Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos	Yubin Hu · Yuze He · Yanghao Li · Jisheng Li · Yuxing Han · Jiangtao Wen · Yong-Jin Liu	N/A	Code
DisWOT: Student Architecture Search for Distillation WithOut Training	Peijie Dong · Lujun Li · Zimian Wei	N/A	Code
Activating More Pixels in Image Super-Resolution Transformer	Xiangyu Chen · Xintao Wang · Jiantao Zhou · Yu Qiao · Chao Dong	N/A	Code
You Only Segment Once: Towards Real-Time Panoptic Segmentation	Jie Hu · Linyan Huang · Tianhe Ren · Shengchuan Zhang · Rongrong Ji · Liujuan Cao	N/A	Code
PA&DA: Jointly Sampling Path and Data for Consistent NAS	Shun Lu · Yu Hu · Longxing Yang · Zihao Sun · Jilin Mei · Jianchao Tan · Chengru Song	N/A	Code
NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies	Xiaoxiao Long · Cheng Lin · Lingjie Liu · Yuan Liu · Peng Wang · Christian Theobalt · Taku Komura · Wenping Wang	N/A	Code
Towards Universal Fake Image Detectors That Generalize Across Generative Models	Utkarsh Ojha · Yuheng Li · Yong Jae Lee	N/A	Code
FLAG3D: A 3D Fitness Activity Dataset With Language Instruction	Yansong Tang · Jinpeng Liu · Aoyang Liu · Bin Yang · Wenxun Dai · Yongming Rao · Jiwen Lu · Jie Zhou · Xiu Li	N/A	Code
NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction From Multi-View Images	Yunfan Ye · Renjiao Yi · Zhirui Gao · Chenyang Zhu · Zhiping Cai · Kai Xu	N/A	Code
Executing Your Commands via Motion Diffusion in Latent Space	Xin Chen · Biao Jiang · Wen Liu · Zilong Huang · Bin Fu · Tao Chen · Gang Yu	N/A	Code
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID	Jianyang Gu · Kai Wang · Hao Luo · Chen Chen · Wei Jiang · Yuqiang Fang · Shanghang Zhang · Yang You · Jian Zhao	N/A	Code
SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage	Yifan Wang · Aleksander Holynski · Xiuming Zhang · Xuaner Zhang	N/A	Code
IS-GGT: Iterative Scene Graph Generation With Generative Transformers	Sanjoy Kundu · Sathyanarayanan N. Aakur	N/A	Code
DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-Aware Scene Synthesis	Yinghao Xu · Menglei Chai · Zifan Shi · Sida Peng · Ivan Skorokhodov · Aliaksandr Siarohin · Ceyuan Yang · Yujun Shen · Hsin-Ying Lee · Bolei Zhou · Sergey Tulyakov	N/A	Code
Breaking the “Object” in Video Object Segmentation	Pavel Tokmakov · Jie Li · Adrien Gaidon	N/A	Code
SimpleNet: A Simple Network for Image Anomaly Detection and Localization	Zhikang Liu · Yiming Zhou · Yuansheng Xu · Zilei Wang	N/A	Code
Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation	Lingting Zhu · Xian Liu · Xuanyu Liu · Rui Qian · Ziwei Liu · Lequan Yu	N/A	Code
Top-Down Visual Attention From Analysis by Synthesis	Baifeng Shi · Trevor Darrell · Xin Wang	N/A	Code
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation With Cross-Scale Distortion Awareness	Zhijie Shen · Zishuo Zheng · Chunyu Lin · Lang Nie · Kang Liao · Shuai Zheng · Yao Zhao	N/A	Code
Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation	Xiaolong Shen · Zongxin Yang · Xiaohan Wang · Jianxin Ma · Chang Zhou · Yi Yang	N/A	Code
RaBit: Parametric Modeling of 3D Biped Cartoon Characters With a Topological-Consistent Dataset	Zhongjin Luo · Shengcai Cai · Jinguo Dong · Ruibo Ming · Liangdong Qiu · Xiaohang Zhan · Xiaoguang Han	N/A	Code
Masked Image Modeling With Local Multi-Scale Reconstruction	Haoqing Wang · Yehui Tang · Yunhe Wang · Jianyuan Guo · Zhi-Hong Deng · Kai Han	N/A	Code
Omni Aggregation Networks for Lightweight Image Super-Resolution	Hang Wang · Xuanhong Chen · Bingbing Ni · Yutian Liu · Jinfan Liu	N/A	Code
TryOnDiffusion: A Tale of Two UNets	Luyang Zhu · Dawei Yang · Tyler Zhu · Fitsum Reda · William Chan · Chitwan Saharia · Mohammad Norouzi · Ira Kemelmacher-Shlizerman	N/A	Code
MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot Action Recognition	Xiang Wang · Shiwei Zhang · Zhiwu Qing · Changxin Gao · Yingya Zhang · Deli Zhao · Nong Sang	N/A	Code
Dynamic Aggregated Network for Gait Recognition	Kang Ma · Ying Fu · Dezhi Zheng · Chunshui Cao · Xuecai Hu · Yongzhen Huang	N/A	Code
Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution	Jiahao Chao · Zhou Zhou · Hongfan Gao · Jiali Gong · Zhengfeng Yang · Zhenbing Zeng · Lydia Dehbi	N/A	Code
Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination	Zimeng Zhao · Binghui Zuo · Zhiyu Long · Yangang Wang	N/A	Code
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields	Yu Chen · Gim Hee Lee	N/A	Code
Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit	Xiaohang Wang · Xuanhong Chen · Bingbing Ni · Hang Wang · Zhengyan Tong · Yutian Liu	N/A	Code
Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections	Jiaxiong Qiu · Peng-Tao Jiang · Yifan Zhu · Ze-Xin Yin · Ming-Ming Cheng · Bo Ren	N/A	Code
The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction	Alexandros Stergiou · Dima Damen	N/A	Code
Use Your Head: Improving Long-Tail Video Recognition	Toby Perrett · Saptarshi Sinha · Tilo Burghardt · Majid Mirmehdi · Dima Damen	N/A	Code
Large-Scale Training Data Search for Object Re-Identification	Yue Yao · Tom Gedeon · Liang Zheng	N/A	Code
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction	Guangyi Chen · Zhenhao Chen · Shunxing Fan · Kun Zhang	N/A	Code
Seeing a Rose in Five Thousand Ways	Yunzhi Zhang · Shangzhe Wu · Noah Snavely · Jiajun Wu	N/A	Code
EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points	Chengwei Zheng · Wenbin Lin · Feng Xu	N/A	Code
Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior	Xiaole Tang · Xile Zhao · Jun Liu · Jianli Wang · Yuchun Miao · Tieyong Zeng	N/A	Code
Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation	Shuting He · Henghui Ding · Wei Jiang	N/A	Code
Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation	Yan Jin · Mengke Li · Yang Lu · Yiu-ming Cheung · Hanzi Wang	N/A	Code
Neuron Structure Modeling for Generalizable Remote Physiological Measurement	Hao Lu · Zitong Yu · Xuesong Niu · Ying-Cong Chen	N/A	Code
Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains	Simon Reiß · Constantin Seibold · Alexander Freytag · Erik Rodner · Rainer Stiefelhagen	N/A	Code
Learning a Sparse Transformer Network for Effective Image Deraining	Xiang Chen · Hao Li · Mingqiang Li · Jinshan Pan	N/A	Code
Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction	Chunming He · Kai Li · Yachao Zhang · Longxiang Tang · Yulun Zhang · Zhenhua Guo · Xiu Li	N/A	Code
LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding	Gen Li · Varun Jampani · Deqing Sun · Laura Sevilla-Lara	N/A	Code
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation	Nataniel Ruiz · Yuanzhen Li · Varun Jampani · Yael Pritch · Michael Rubinstein · Kfir Aberman	N/A	Code
GeneCIS: A Benchmark for General Conditional Image Similarity	Sagar Vaze · Nicolas Carion · Ishan Misra	N/A	Code
Neighborhood Attention Transformer	Ali Hassani · Steven Walton · Jiachen Li · Shen Li · Humphrey Shi	N/A	Code
3D-Aware Conditional Image Synthesis	Kangle Deng · Gengshan Yang · Deva Ramanan · Jun-Yan Zhu	N/A	Code
Magic3D: High-Resolution Text-to-3D Content Creation	Chen-Hsuan Lin · Jun Gao · Luming Tang · Towaki Takikawa · Xiaohui Zeng · Xun Huang · Karsten Kreis · Sanja Fidler · Ming-Yu Liu · Tsung-Yi Lin	N/A	Code
QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity	Siyu Huang · Jie An · Donglai Wei · Jiebo Luo · Hanspeter Pfister	N/A	Code
SceneComposer: Any-Level Semantic Image Synthesis	Yu Zeng · Zhe Lin · Jianming Zhang · Qing Liu · John Collomosse · Jason Kuen · Vishal M. Patel	N/A	Code
Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style	Haoming Lu · Hazarapet Tunanyan · Kai Wang · Shant Navasardyan · Zhangyang Wang · Humphrey Shi	N/A	Code
In-Hand 3D Object Scanning From an RGB Sequence	Shreyas Hampali · Tomas Hodan · Luan Tran · Lingni Ma · Cem Keskin · Vincent Lepetit	N/A	Code
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds	Qing Li · Huifang Feng · Kanle Shi · Yue Gao · Yi Fang · Yu-Shen Liu · Zhizhong Han	N/A	Code
Advancing Visual Grounding With Scene Knowledge: Benchmark and Method	Zhihong Chen · Ruifei Zhang · Yibing Song · Xiang Wan · Guanbin Li	N/A	Code
Putting People in Their Place: Affordance-Aware Human Insertion Into Scenes	Sumith Kulal · Tim Brooks · Alex Aiken · Jiajun Wu · Jimei Yang · Jingwan Lu · Alexei A. Efros · Krishna Kumar Singh	N/A	Code
Identity-Preserving Talking Face Generation With Landmark and Appearance Priors	Weizhi Zhong · Chaowei Fang · Yinqi Cai · Pengxu Wei · Gangming Zhao · Liang Lin · Guanbin Li	N/A	Code
Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation	Li Li · Hubert P. H. Shum · Toby P. Breckon	N/A	Code
FAC: 3D Representation Learning via Foreground Aware Feature Contrast	Kangcheng Liu · Aoran Xiao · Xiaoqin Zhang · Shijian Lu · Ling Shao	N/A	Code
InstMove: Instance Motion for Object-Centric Video Segmentation	Qihao Liu · Junfeng Wu · Yi Jiang · Xiang Bai · Alan L. Yuille · Song Bai	N/A	Code
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark	Xiaofeng Wang · Zheng Zhu · Yunpeng Zhang · Guan Huang · Yun Ye · Wenbo Xu · Ziwei Chen · Xingang Wang	N/A	Code
Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring	Zhenxuan Fang · Fangfang Wu · Weisheng Dong · Xin Li · Jinjian Wu · Guangming Shi	N/A	Code
Neural Kernel Surface Reconstruction	Jiahui Huang · Zan Gojcic · Matan Atzmon · Or Litany · Sanja Fidler · Francis Williams	N/A	Code
Binary Latent Diffusion	Ze Wang · Jiang Wang · Zicheng Liu · Qiang Qiu	N/A	Code
Learning To Dub Movies via Hierarchical Prosody Models	Gaoxiang Cong · Liang Li · Yuankai Qi · Zheng-Jun Zha · Qi Wu · Wenyu Wang · Bin Jiang · Ming-Hsuan Yang · Qingming Huang	N/A	Code
Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs	Pattaramanee Arsomngern · Sarana Nutanong · Supasorn Suwajanakorn	N/A	Code
FrustumFormer: Adaptive Instance-Aware Resampling for Multi-View 3D Detection	Yuqi Wang · Yuntao Chen · Zhaoxiang Zhang	N/A	Code
Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!	Zaid Khan · Vijay Kumar BG · Samuel Schulter · Xiang Yu · Yun Fu · Manmohan Chandraker	N/A	Code
StyleRes: Transforming the Residuals for Real Image Editing With StyleGAN	Hamza Pehlivan · Yusuf Dalva · Aysegul Dundar	N/A	Code
PVT-SSD: Single-Stage 3D Object Detector With Point-Voxel Transformer	Honghui Yang · Wenxiao Wang · Minghao Chen · Binbin Lin · Tong He · Hua Chen · Xiaofei He · Wanli Ouyang	N/A	Code
Boosting Verified Training for Robust Image Classifications via Abstraction	Zhaodi Zhang · Zhiyi Xue · Yang Chen · Si Liu · Yueling Zhang · Jing Liu · Min Zhang	N/A	Code
Interactive Segmentation As Gaussion Process Classification	Minghao Zhou · Hong Wang · Qian Zhao · Yuexiang Li · Yawen Huang · Deyu Meng · Yefeng Zheng	N/A	Code
OSRT: Omnidirectional Image Super-Resolution With Distortion-Aware Transformer	Fanghua Yu · Xintao Wang · Mingdeng Cao · Gen Li · Ying Shan · Chao Dong	N/A	Code
Accelerating Vision-Language Pretraining With Free Language Modeling	Teng Wang · Yixiao Ge · Feng Zheng · Ran Cheng · Ying Shan · Xiaohu Qie · Ping Luo	N/A	Code
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation	Hanzhi Chen · Fabian Manhardt · Nassir Navab · Benjamin Busam	N/A	Code
Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking	Yuanpeng Tu · Boshen Zhang · Yuxi Li · Liang Liu · Jian Li · Jiangning Zhang · Yabiao Wang · Chengjie Wang · Cai Rong Zhao	N/A	Code
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization	Zhihao Liang · Zhangjin Huang · Changxing Ding · Kui Jia	N/A	Code
Multi-Space Neural Radiance Fields	Ze-Xin Yin · Jiaxiong Qiu · Ming-Ming Cheng · Bo Ren	N/A	Code
MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection From Point Cloud Sequences	Chenhang He · Ruihuang Li · Yabin Zhang · Shuai Li · Lei Zhang	N/A	Code
DLBD: A Self-Supervised Direct-Learned Binary Descriptor	Bin Xiao · Yang Hu · Bo Liu · Xiuli Bi · Weisheng Li · Xinbo Gao	N/A	Code
Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries	Yuanwen Yue · Theodora Kontogianni · Konrad Schindler · Francis Engelmann	N/A	Code
PointAvatar: Deformable Point-Based Head Avatars From Videos	Yufeng Zheng · Wang Yifan · Gordon Wetzstein · Michael J. Black · Otmar Hilliges	N/A	Code
Diffusion-SDF: Text-To-Shape via Voxelized Diffusion	Muheng Li · Yueqi Duan · Jie Zhou · Jiwen Lu	N/A	Code
NeRF-RPN: A General Framework for Object Detection in NeRFs	Benran Hu · Junkai Huang · Yichen Liu · Yu-Wing Tai · Chi-Keung Tang	N/A	Code
CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset	Tian Gan · Qing Wang · Xingning Dong · Xiangyuan Ren · Liqiang Nie · Qingpei Guo	N/A	Code
Vid2Avatar: 3D Avatar Reconstruction From Videos in the Wild via Self-Supervised Scene Decomposition	Chen Guo · Tianjian Jiang · Xu Chen · Jie Song · Otmar Hilliges	N/A	Code
Neural Preset for Color Style Transfer	Zhanghan Ke · Yuhao Liu · Lei Zhu · Nanxuan Zhao · Rynson W.H. Lau	N/A	Code
GRES: Generalized Referring Expression Segmentation	Chang Liu · Henghui Ding · Xudong Jiang	N/A	Code
Tracking Through Containers and Occluders in the Wild	Basile Van Hoorick · Pavel Tokmakov · Simon Stent · Jie Li · Carl Vondrick	N/A	Code
DepGraph: Towards Any Structural Pruning	Gongfan Fang · Xinyin Ma · Mingli Song · Michael Bi Mi · Xinchao Wang	N/A	Code
Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation	Yunqing Zhao · Chao Du · Milad Abdollahzadeh · Tianyu Pang · Min Lin · Shuicheng Yan · Ngai-Man Cheung	N/A	Code
RGB No More: Minimally-Decoded JPEG Vision Transformers	Jeongsoo Park · Justin Johnson	N/A	Code
iQuery: Instruments As Queries for Audio-Visual Sound Separation	Jiaben Chen · Renrui Zhang · Dongze Lian · Jiaqi Yang · Ziyao Zeng · Jianbo Shi	N/A	Code
Towards Professional Level Crowd Annotation of Expert Domain Data	Pei Wang · Nuno Vasconcelos	N/A	Code
VideoTrack: Learning To Track Objects via Video Transformer	Fei Xie · Lei Chu · Jiahao Li · Yan Lu · Chao Ma	N/A	Code
SCoDA: Domain Adaptive Shape Completion for Real Scans	Yushuang Wu · Zizheng Yan · Ce Chen · Lai Wei · Xiao Li · Guanbin Li · Yihao Li · Shuguang Cui · Xiaoguang Han	N/A	Code
Enhanced Training of Query-Based Object Detection via Selective Query Recollection	Fangyi Chen · Han Zhang · Kai Hu · Yu-Kai Huang · Chenchen Zhu · Marios Savvides	N/A	Code
LaserMix for Semi-Supervised LiDAR Semantic Segmentation	Lingdong Kong · Jiawei Ren · Liang Pan · Ziwei Liu	N/A	Code
MSMDFusion: Fusing LiDAR and Camera at Multiple Scales With Multi-Depth Seeds for 3D Object Detection	Yang Jiao · Zequn Jie · Shaoxiang Chen · Jingjing Chen · Lin Ma · Yu-Gang Jiang	N/A	Code
Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning	Zeyin Song · Yifan Zhao · Yujun Shi · Peixi Peng · Li Yuan · Yonghong Tian	N/A	Code
PLA: Language-Driven Open-Vocabulary 3D Scene Understanding	Runyu Ding · Jihan Yang · Chuhui Xue · Wenqing Zhang · Song Bai · Xiaojuan Qi	N/A	Code
Being Comes From Not-Being: Open-Vocabulary Text-to-Motion Generation With Wordless Training	Junfan Lin · Jianlong Chang · Lingbo Liu · Guanbin Li · Liang Lin · Qi Tian · Chang-Wen Chen	N/A	Code
A Dynamic Multi-Scale Voxel Flow Network for Video Prediction	Xiaotao Hu · Zhewei Huang · Ailin Huang · Jun Xu · Shuchang Zhou	N/A	Code
Neural Dependencies Emerging From Learning Massive Categories	Ruili Feng · Kecheng Zheng · Kai Zhu · Yujun Shen · Jian Zhao · Yukun Huang · Deli Zhao · Jingren Zhou · Michael Jordan · Zheng-Jun Zha	N/A	Code
Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-Identification	Yukang Zhang · Hanzi Wang	N/A	Code
Neural Kaleidoscopic Space Sculpting	Byeongjoo Ahn · Michael De Zeeuw · Ioannis Gkioulekas · Aswin C. Sankaranarayanan	N/A	Code
PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow	Jiarui Lei · Xiaobo Hu · Yue Wang · Dong Liu	N/A	Code
Masked Motion Encoding for Self-Supervised Video Representation Learning	Xinyu Sun · Peihao Chen · Liangwei Chen · Changhao Li · Thomas H. Li · Mingkui Tan · Chuang Gan	N/A	Code
StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-Based Generator	Jiazhi Guan · Zhanwang Zhang · Hang Zhou · Tianshu Hu · Kaisiyuan Wang · Dongliang He · Haocheng Feng · Jingtuo Liu · Errui Ding · Ziwei Liu · Jingdong Wang	N/A	Code
LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation	Song Wang · Wentong Li · Wenyu Liu · Xiaolu Liu · Jianke Zhu	N/A	Code
Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion	Changfeng Ma · Yinuo Chen · Pengxiao Guo · Jie Guo · Chongjun Wang · Yanwen Guo	N/A	Code
Boosting Detection in Crowd Analysis via Underutilized Output Features	Shaokai Wu · Fengyu Yang	N/A	Code
Representation Learning for Visual Object Tracking by Masked Appearance Transfer	Haojie Zhao · Dong Wang · Huchuan Lu	N/A	Code
NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360° Views	Dejia Xu · Yifan Jiang · Peihao Wang · Zhiwen Fan · Yi Wang · Zhangyang Wang	N/A	Code
DoNet: Deep De-Overlapping Network for Cytology Instance Segmentation	Hao Jiang · Rushan Zhang · Yanning Zhou · Yumeng Wang · Hao Chen	N/A	Code
Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving	Xiaosong Jia · Penghao Wu · Li Chen · Jiangwei Xie · Conghui He · Junchi Yan · Hongyang Li	N/A	Code
Adversarial Counterfactual Visual Explanations	Guillaume Jeanneret · Loïc Simon · Frédéric Jurie	N/A	Code
ALOFT: A Lightweight MLP-Like Architecture With Dynamic Low-Frequency Transform for Domain Generalization	Jintao Guo · Na Wang · Lei Qi · Yinghuan Shi	N/A	Code
ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision	Jingwang Ling · Zhibo Wang · Feng Xu	N/A	Code
Coaching a Teachable Student	Jimuyang Zhang · Zanming Huang · Eshed Ohn-Bar	N/A	Code
POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery	Ce Zheng · Xianpeng Liu · Guo-Jun Qi · Chen Chen	N/A	Code
Layout-Based Causal Inference for Object Navigation	Sixian Zhang · Xinhang Song · Weijie Li · Yubing Bai · Xinyao Yu · Shuqiang Jiang	N/A	Code
Towards Bridging the Performance Gaps of Joint Energy-Based Models	Xiulong Yang · Qing Su · Shihao Ji	N/A	Code
Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild	Gyeongsik Moon	N/A	Code
Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting	Xiaogang Peng · Siyuan Mao · Zizhao Wu	N/A	Code
Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization	Chen Ju · Kunhao Zheng · Jinxiang Liu · Peisen Zhao · Ya Zhang · Jianlong Chang · Qi Tian · Yanfeng Wang	N/A	Code
DiffPose: Toward More Reliable 3D Pose Estimation	Jia Gong · Lin Geng Foo · Zhipeng Fan · Qiuhong Ke · Hossein Rahmani · Jun Liu	N/A	Code
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection	Tiange Xiang · Yixiao Zhang · Yongyi Lu · Alan L. Yuille · Chaoyi Zhang · Weidong Cai · Zongwei Zhou	N/A	Code
On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer	Zhenjie Yu · Shuang Li · Yirui Shen · Chi Harold Liu · Shuigen Wang	N/A	Code
CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input	Senmao Tian · Ming Lu · Jiaming Liu · Yandong Guo · Yurong Chen · Shunli Zhang	N/A	Code
NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects	Zhiwen Yan · Chen Li · Gim Hee Lee	N/A	Code
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo	Lukas Mehl · Jenny Schmalfuss · Azin Jahedi · Yaroslava Nalivayko · Andrés Bruhn	N/A	Code
Unifying Short and Long-Term Tracking With Graph Hierarchies	Orcun Cetintas · Guillem Brasó · Laura Leal-Taixé	N/A	Code
MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection	Liang Liu · Boshen Zhang · Jiangning Zhang · Wuhao Zhang · Zhenye Gan · Guanzhong Tian · Wenbing Zhu · Yabiao Wang · Chengjie Wang	N/A	Code
A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation From a Single RGB Image	Changlong Jiang · Yang Xiao · Cunlin Wu · Mingyang Zhang · Jinghong Zheng · Zhiguo Cao · Joey Tianyi Zhou	N/A	Code
Efficient Mask Correction for Click-Based Interactive Image Segmentation	Fei Du · Jianlong Yuan · Zhibin Wang · Fan Wang	N/A	Code
OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation	Tong Wu · Jiarui Zhang · Xiao Fu · Yuxin Wang · Jiawei Ren · Liang Pan · Wayne Wu · Lei Yang · Jiaqi Wang · Chen Qian · Dahua Lin · Ziwei Liu	N/A	Code
LoGoNet: Towards Accurate 3D Object Detection With Local-to-Global Cross-Modal Fusion	Xin Li · Tao Ma · Yuenan Hou · Botian Shi · Yuchen Yang · Youquan Liu · Xingjiao Wu · Qin Chen · Yikang Li · Yu Qiao · Liang He	N/A	Code
3D Registration With Maximal Cliques	Xiyu Zhang · Jiaqi Yang · Shikun Zhang · Yanning Zhang	N/A	Code
Inferring and Leveraging Parts From Object Shape for Improving Semantic Image Synthesis	Yuxiang Wei · Zhilong Ji · Xiaohe Wu · Jinfeng Bai · Lei Zhang · Wangmeng Zuo	N/A	Code
Frame-Event Alignment and Fusion Network for High Frame Rate Tracking	Jiqing Zhang · Yuanchen Wang · Wenxi Liu · Meng Li · Jinpeng Bai · Baocai Yin · Xin Yang	N/A	Code
Human Guided Ground-Truth Generation for Realistic Image Super-Resolution	Du Chen · Jie Liang · Xindong Zhang · Ming Liu · Hui Zeng · Lei Zhang	N/A	Code
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration	Kemal Oksuz · Tom Joy · Puneet K. Dokania	N/A	Code
Generating Human Motion From Textual Descriptions With Discrete Representations	Jianrong Zhang · Yangsong Zhang · Xiaodong Cun · Yong Zhang · Hongwei Zhao · Hongtao Lu · Xi Shen · Ying Shan	N/A	Code
Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing	Yu Zheng · Jiahui Zhan · Shengfeng He · Junyu Dong · Yong Du	N/A	Code
Learning Human Mesh Recovery in 3D Scenes	Zehong Shen · Zhi Cen · Sida Peng · Qing Shuai · Hujun Bao · Xiaowei Zhou	N/A	Code
Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection	Luting Wang · Yi Liu · Penghui Du · Zihan Ding · Yue Liao · Qiaosong Qi · Biaolong Chen · Si Liu	N/A	Code
Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method	Ran Yi · Haoyuan Tian · Zhihao Gu · Yu-Kun Lai · Paul L. Rosin	N/A	Code
SOOD: Towards Semi-Supervised Oriented Object Detection	Wei Hua · Dingkang Liang · Jingyu Li · Xiaolong Liu · Zhikang Zou · Xiaoqing Ye · Xiang Bai	N/A	Code
Spherical Transformer for LiDAR-Based 3D Recognition	Xin Lai · Yukang Chen · Fanbin Lu · Jianhui Liu · Jiaya Jia	N/A	Code
Data-Free Sketch-Based Image Retrieval	Abhra Chaudhuri · Ayan Kumar Bhunia · Yi-Zhe Song · Anjan Dutta	N/A	Code
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion	Zixiang Zhao · Haowen Bai · Jiangshe Zhang · Yulun Zhang · Shuang Xu · Zudi Lin · Radu Timofte · Luc Van Gool	N/A	Code
Proximal Splitting Adversarial Attack for Semantic Segmentation	Jérôme Rony · Jean-Christophe Pesquet · Ismail Ben Ayed	N/A	Code
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation	Ziyan Wang · Giljoo Nam · Tuur Stuyck · Stephen Lombardi · Chen Cao · Jason Saragih · Michael Zollhöfer · Jessica Hodgins · Christoph Lassner	N/A	Code
Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language	Chuanhao Li · Zhen Li · Chenchen Jing · Yunde Jia · Yuwei Wu	N/A	Code
3D-Aware Face Swapping	Yixuan Li · Chao Ma · Yichao Yan · Wenhan Zhu · Xiaokang Yang	N/A	Code
Representing Volumetric Videos As Dynamic MLP Maps	Sida Peng · Yunzhi Yan · Qing Shuai · Hujun Bao · Xiaowei Zhou	N/A	Code
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation	Hang Du · Xuejun Yan · Jingjing Wang · Di Xie · Shiliang Pu	N/A	Code
Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need	Jingyao Li · Pengguang Chen · Zexin He · Shaozuo Yu · Shu Liu · Jiaya Jia	N/A	Code
Paint by Example: Exemplar-Based Image Editing With Diffusion Models	Binxin Yang · Shuyang Gu · Bo Zhang · Ting Zhang · Xuejin Chen · Xiaoyan Sun · Dong Chen · Fang Wen	N/A	Code
Referring Multi-Object Tracking	Dongming Wu · Wencheng Han · Tiancai Wang · Xingping Dong · Xiangyu Zhang · Jianbing Shen	N/A	Code
NerVE: Neural Volumetric Edges for Parametric Curve Extraction From Point Cloud	Xiangyu Zhu · Dong Du · Weikai Chen · Zhiyou Zhao · Yinyu Nie · Xiaoguang Han	N/A	Code
AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection	Yipeng Gao · Kun-Yu Lin · Junkai Yan · Yaowei Wang · Wei-Shi Zheng	N/A	Code
CUF: Continuous Upsampling Filters	Cristina N. Vasconcelos · Cengiz Oztireli · Mark Matthews · Milad Hashemi · Kevin Swersky · Andrea Tagliasacchi	N/A	Code
MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors	Yuang Zhang · Tiancai Wang · Xiangyu Zhang	N/A	Code
CXTrack: Improving 3D Point Cloud Tracking With Contextual Information	Tian-Xing Xu · Yuan-Chen Guo · Yu-Kun Lai · Song-Hai Zhang	N/A	Code
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection	Xincheng Yao · Ruoqi Li · Jing Zhang · Jun Sun · Chongyang Zhang	N/A	Code
Learning Bottleneck Concepts in Image Classification	Bowen Wang · Liangzhi Li · Yuta Nakashima · Hajime Nagahara	N/A	Code
Zero-Shot Model Diagnosis	Jinqi Luo · Zhaoning Wang · Chen Henry Wu · Dong Huang · Fernando De la Torre	N/A	Code
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation	Shuai Shen · Wenliang Zhao · Zibin Meng · Wanhua Li · Zheng Zhu · Jie Zhou · Jiwen Lu	N/A	Code
DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer	Ping Chen · Xingpeng Zhang · Ye Li · Ju Tao · Bin Xiao · Bing Wang · Zongjie Jiang	N/A	Code
TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification	Haocong Rao · Chunyan Miao	N/A	Code
Joint Visual Grounding and Tracking With Natural Language Specification	Li Zhou · Zikun Zhou · Kaige Mao · Zhenyu He	N/A	Code
Compressing Volumetric Radiance Fields to 1 MB	Lingzhi Li · Zhen Shen · Zhongshu Wang · Li Shen · Liefeng Bo	N/A	Code
HyperReel: High-Fidelity 6-DoF Video With Ray-Conditioned Sampling	Benjamin Attal · Jia-Bin Huang · Christian Richardt · Michael Zollhöfer · Johannes Kopf · Matthew O’Toole · Changil Kim	N/A	Code
Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections	Alexander Gillert · Giulia Resente · Alba Anadon-Rosell · Martin Wilmking · Uwe Freiherr von Lukas	N/A	Code
Ego-Body Pose Estimation via Ego-Head Pose Estimation	Jiaman Li · Karen Liu · Jiajun Wu	N/A	Code
Learned Two-Plane Perspective Prior Based Image Resampling for Efficient Object Detection	Anurag Ghosh · N. Dinesh Reddy · Christoph Mertz · Srinivasa G. Narasimhan	N/A	Code
PaletteNeRF: Palette-Based Appearance Editing of Neural Radiance Fields	Zhengfei Kuang · Fujun Luan · Sai Bi · Zhixin Shu · Gordon Wetzstein · Kalyan Sunkavalli	N/A	Code
Long Range Pooling for 3D Large-Scale Scene Understanding	Xiang-Li Li · Meng-Hao Guo · Tai-Jiang Mu · Ralph R. Martin · Shi-Min Hu	N/A	Code
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation	Mingjie Li · Bingqian Lin · Zicong Chen · Haokun Lin · Xiaodan Liang · Xiaojun Chang	N/A	Code
Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning	Chengzhi Cao · Xueyang Fu · Hongjian Liu · Yukun Huang · Kunyu Wang · Jiebo Luo · Zheng-Jun Zha	N/A	Code
Contrastive Grouping With Transformer for Referring Image Segmentation	Jiajin Tang · Ge Zheng · Cheng Shi · Sibei Yang	N/A	Code
Structure Aggregation for Cross-Spectral Stereo Image Guided Denoising	Zehua Sheng · Zhu Yu · Xiongwei Liu · Si-Yuan Cao · Yuqi Liu · Hui-Liang Shen · Huaqi Zhang	N/A	Code
Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization	Chenxi Zheng · Bangzhen Liu · Huaidong Zhang · Xuemiao Xu · Shengfeng He	N/A	Code
EDGE: Editable Dance Generation From Music	Jonathan Tseng · Rodrigo Castellon · Karen Liu	N/A	Code
PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models	Minghua Liu · Yinhao Zhu · Hong Cai · Shizhong Han · Zhan Ling · Fatih Porikli · Hao Su	N/A	Code
EDICT: Exact Diffusion Inversion via Coupled Transformations	Bram Wallace · Akash Gokul · Nikhil Naik	N/A	Code
Complete 3D Human Reconstruction From a Single Incomplete Image	Junying Wang · Jae Shin Yoon · Tuanfeng Y. Wang · Krishna Kumar Singh · Ulrich Neumann	N/A	Code
PartDistillation: Learning Parts From Instance Segmentation	Jang Hyun Cho · Philipp Krähenbühl · Vignesh Ramanathan	N/A	Code
Neural Vector Fields: Implicit Representation by Explicit Learning	Xianghui Yang · Guosheng Lin · Zhenghao Chen · Luping Zhou	N/A	Code
Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors	Chao Chen · Yu-Shen Liu · Zhizhong Han	N/A	Code
Texts as Images in Prompt Tuning for Multi-Label Image Recognition	Zixian Guo · Bowen Dong · Zhilong Ji · Jinfeng Bai · Yiwen Guo · Wangmeng Zuo	N/A	Code
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions	Yun He · Danhang Tang · Yinda Zhang · Xiangyang Xue · Yanwei Fu	N/A	Code
MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning	Shicai Wei · Chunbo Luo · Yang Luo	N/A	Code
Rethinking Optical Flow From Geometric Matching Consistent Perspective	Qiaole Dong · Chenjie Cao · Yanwei Fu	N/A	Code
FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation	Junjie He · Pengyu Li · Yifeng Geng · Xuansong Xie	N/A	Code
How Can Objects Help Action Recognition?	Xingyi Zhou · Anurag Arnab · Chen Sun · Cordelia Schmid	N/A	Code
Images Speak in Images: A Generalist Painter for In-Context Visual Learning	Xinlong Wang · Wen Wang · Yue Cao · Chunhua Shen · Tiejun Huang	N/A	Code
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation	Huimin Huang · Shiao Xie · Lanfen Lin · Ruofeng Tong · Yen-Wei Chen · Yuexiang Li · Hong Wang · Yawen Huang · Yefeng Zheng	N/A	Code
A Unified Pyramid Recurrent Network for Video Frame Interpolation	Xin Jin · Longhai Wu · Jie Chen · Youxin Chen · Jayoon Koo · Cheul-hee Hahm	N/A	Code
Enhancing the Self-Universality for Transferable Targeted Attacks	Zhipeng Wei · Jingjing Chen · Zuxuan Wu · Yu-Gang Jiang	N/A	Code
Multi-View Inverse Rendering for Large-Scale Real-World Indoor Scenes	Zhen Li · Lingli Wang · Mofang Cheng · Cihui Pan · Jiaqi Yang	N/A	Code
TAPS3D: Text-Guided 3D Textured Shape Generation From Pseudo Supervision	Jiacheng Wei · Hao Wang · Jiashi Feng · Guosheng Lin · Kim-Hui Yap	N/A	Code
Frequency-Modulated Point Cloud Rendering With Easy Editing	Yi Zhang · Xiaoyang Huang · Bingbing Ni · Teng Li · Wenjun Zhang	N/A	Code
Vector Quantization With Self-Attention for Quality-Independent Representation Learning	Zhou Yang · Weisheng Dong · Xin Li · Mengluan Huang · Yulin Sun · Guangming Shi	N/A	Code
Fine-Grained Face Swapping via Regional GAN Inversion	Zhian Liu · Maomao Li · Yong Zhang · Cairong Wang · Qi Zhang · Jue Wang · Yongwei Nie	N/A	Code
Backdoor Defense via Adaptively Splitting Poisoned Dataset	Kuofeng Gao · Yang Bai · Jindong Gu · Yong Yang · Shu-Tao Xia	N/A	Code
RGBD2: Generative Scene Synthesis via Incremental View Inpainting Using RGBD Diffusion Models	Jiabao Lei · Jiapeng Tang · Kui Jia	N/A	Code
CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose	Xu Zhang · Wen Wang · Zhe Chen · Yufei Xu · Jing Zhang · Dacheng Tao	N/A	Code
Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones	Mert Bülent Sarıyıldız · Karteek Alahari · Diane Larlus · Yannis Kalantidis	N/A	Code
Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring	Lingshun Kong · Jiangxin Dong · Jianjun Ge · Mingqiang Li · Jinshan Pan	N/A	Code
DartBlur: Privacy Preservation With Detection Artifact Suppression	Baowei Jiang · Bing Bai · Haozhe Lin · Yu Wang · Yuchen Guo · Lu Fang	N/A	Code
FCC: Feature Clusters Compression for Long-Tailed Visual Recognition	Jian Li · Ziyao Meng · Daqian Shi · Rui Song · Xiaolei Diao · Jingwen Wang · Hao Xu	N/A	Code
CLOTH4D: A Dataset for Clothed Human Reconstruction	Xingxing Zou · Xintong Han · Waikeung Wong	N/A	Code
LinK: Linear Kernel for LiDAR-Based 3D Perception	Tao Lu · Xiang Ding · Haisong Liu · Gangshan Wu · Limin Wang	N/A	Code
Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation	Xiaoyang Wang · Bingfeng Zhang · Limin Yu · Jimin Xiao	N/A	Code
Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception	Junyu Gao · Mengyuan Chen · Changsheng Xu	N/A	Code
LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs	Yukang Chen · Jianhui Liu · Xiangyu Zhang · Xiaojuan Qi · Jiaya Jia	N/A	Code
Deep Learning of Partial Graph Matching via Differentiable Top-K	Runzhong Wang · Ziao Guo · Shaofei Jiang · Xiaokang Yang · Junchi Yan	N/A	Code
Analyzing Physical Impacts Using Transient Surface Wave Imaging	Tianyuan Zhang · Mark Sheinin · Dorian Chan · Mark Rau · Matthew O’Toole · Srinivasa G. Narasimhan	N/A	Code
Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment	Yiyou Sun · Yaojie Liu · Xiaoming Liu · Yixuan Li · Wen-Sheng Chu	N/A	Code
A Simple Baseline for Video Restoration With Grouped Spatial-Temporal Shift	Dasong Li · Xiaoyu Shi · Yi Zhang · Ka Chun Cheung · Simon See · Xiaogang Wang · Hongwei Qin · Hongsheng Li	N/A	Code
The ObjectFolder Benchmark: Multisensory Learning With Neural and Real Objects	Ruohan Gao · Yiming Dou · Hao Li · Tanmay Agarwal · Jeannette Bohg · Yunzhu Li · Li Fei-Fei · Jiajun Wu	N/A	Code
PIRLNav: Pretraining With Imitation and RL Finetuning for ObjectNav	Ram Ramrakhya · Dhruv Batra · Erik Wijmans · Abhishek Das	N/A	Code
DC2: Dual-Camera Defocus Control by Learning To Refocus	Hadi Alzayer · Abdullah Abuolaim · Leung Chun Chan · Yang Yang · Ying Chen Lou · Jia-Bin Huang · Abhishek Kar	N/A	Code
Habitat-Matterport 3D Semantics Dataset	Karmesh Yadav · Ram Ramrakhya · Santhosh Kumar Ramakrishnan · Theo Gervet · John Turner · Aaron Gokaslan · Noah Maestre · Angel Xuan Chang · Dhruv Batra · Manolis Savva · Alexander William Clegg · Devendra Singh Chaplot	N/A	Code
Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering	Zhenwei Shao · Zhou Yu · Meng Wang · Jun Yu	N/A	Code
Similarity Metric Learning for RGB-Infrared Group Re-Identification	Jianghao Xiong · Jianhuang Lai	N/A	Code
DPF: Learning Dense Prediction Fields With Weak Supervision	Xiaoxue Chen · Yuhang Zheng · Yupeng Zheng · Qiang Zhou · Hao Zhao · Guyue Zhou · Ya-Qin Zhang	N/A	Code
Mixed Autoencoder for Self-Supervised Visual Representation Learning	Kai Chen · Zhili Liu · Lanqing Hong · Hang Xu · Zhenguo Li · Dit-Yan Yeung	N/A	Code
Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers	Chenyang Lu · Daan de Geus · Gijs Dubbelman	N/A	Code
NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds	Jun-Kun Chen · Jipeng Lyu · Yu-Xiong Wang	N/A	Code
Multiview Compressive Coding for 3D Reconstruction	Chao-Yuan Wu · Justin Johnson · Jitendra Malik · Christoph Feichtenhofer · Georgia Gkioxari	N/A	Code
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation	Lihe Yang · Lei Qi · Litong Feng · Wayne Zhang · Yinghuan Shi	N/A	Code
Delving Into Shape-Aware Zero-Shot Semantic Segmentation	Xinyu Liu · Beiwen Tian · Zhen Wang · Rui Wang · Kehua Sheng · Bo Zhang · Hao Zhao · Guyue Zhou	N/A	Code
Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval	Yi Xie · Huaidong Zhang · Xuemiao Xu · Jianqing Zhu · Shengfeng He	N/A	Code
Bootstrapping Objectness From Videos by Relaxed Common Fate and Visual Grouping	Long Lian · Zhirong Wu · Stella X. Yu	N/A	Code
NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation	Zehan Zheng · Danni Wu · Ruisi Lu · Fan Lu · Guang Chen · Changjun Jiang	N/A	Code
Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning	Zhuoyang Zhang · Yuhao Dong · Yunze Liu · Li Yi	N/A	Code
GFIE: A Dataset and Baseline for Gaze-Following From 2D to 3D in Indoor Environments	Zhengxi Hu · Yuxue Yang · Xiaolin Zhai · Dingye Yang · Bohan Zhou · Jingtai Liu	N/A	Code
Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?	Wenhao Wu · Haipeng Luo · Bo Fang · Jingdong Wang · Wanli Ouyang	N/A	Code
Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition From Egocentric RGB Videos	Yilin Wen · Hao Pan · Lei Yang · Jia Pan · Taku Komura · Wenping Wang	N/A	Code
CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer	Linfeng Wen · Chengying Gao · Changqing Zou	N/A	Code
Uncurated Image-Text Datasets: Shedding Light on Demographic Bias	Noa Garcia · Yusuke Hirota · Yankun Wu · Yuta Nakashima	N/A	Code
AltFreezing for More General Video Face Forgery Detection	Zhendong Wang · Jianmin Bao · Wengang Zhou · Weilun Wang · Houqiang Li	N/A	Code
Two-View Geometry Scoring Without Correspondences	Axel Barroso-Laguna · Eric Brachmann · Victor Adrian Prisacariu · Gabriel J. Brostow · Daniyar Turmukhambetov	N/A	Code
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning	Wenjin Wang · Yunqing Hu · Qianglong Chen · Yin Zhang	N/A	Code
Revisiting Prototypical Network for Cross Domain Few-Shot Learning	Fei Zhou · Peng Wang · Lei Zhang · Wei Wei · Yanning Zhang	N/A	Code
Federated Incremental Semantic Segmentation	Jiahua Dong · Duzhen Zhang · Yang Cong · Wei Cong · Henghui Ding · Dengxin Dai	N/A	Code
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching	Dongliang Cao · Florian Bernard	N/A	Code
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization	Aishan Liu · Shiyu Tang · Siyuan Liang · Ruihao Gong · Boxi Wu · Xianglong Liu · Dacheng Tao	N/A	Code
Video-Text As Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning	Peng Jin · Jinfa Huang · Pengfei Xiong · Shangxuan Tian · Chang Liu · Xiangyang Ji · Li Yuan · Jie Chen	N/A	Code
pCON: Polarimetric Coordinate Networks for Neural Scene Representations	Henry Peters · Yunhao Ba · Achuta Kadambi	N/A	Code
RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo	Changjiang Cai · Pan Ji · Qingan Yan · Yi Xu	N/A	Code
Depth Estimation From Camera Image and mmWave Radar Point Cloud	Akash Deep Singh · Yunhao Ba · Ankur Sarker · Howard Zhang · Achuta Kadambi · Stefano Soatto · Mani Srivastava · Alex Wong	N/A	Code
Normal-Guided Garment UV Prediction for Human Re-Texturing	Yasamin Jafarian · Tuanfeng Y. Wang · Duygu Ceylan · Jimei Yang · Nathan Carr · Yi Zhou · Hyun Soo Park	N/A	Code
WeatherStream: Light Transport Automation of Single Image Deweathering	Howard Zhang · Yunhao Ba · Ethan Yang · Varan Mehra · Blake Gella · Akira Suzuki · Arnold Pfahnl · Chethan Chinder Chandrappa · Alex Wong · Achuta Kadambi	N/A	Code
MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices	Kejie Li · Jia-Wang Bian · Robert Castle · Philip H.S. Torr · Victor Adrian Prisacariu	N/A	Code
Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity	Yanan Sun · Chi-Keung Tang · Yu-Wing Tai	N/A	Code
Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection	Chuandong Liu · Chenqiang Gao · Fangcen Liu · Pengcheng Li · Deyu Meng · Xinbo Gao	N/A	Code
PATS: Patch Area Transportation With Subdivision for Local Feature Matching	Junjie Ni · Yijin Li · Zhaoyang Huang · Hongsheng Li · Hujun Bao · Zhaopeng Cui · Guofeng Zhang	N/A	Code
SINE: Semantic-Driven Image-Based NeRF Editing With Prior-Guided Editing Field	Chong Bao · Yinda Zhang · Bangbang Yang · Tianxing Fan · Zesong Yang · Hujun Bao · Guofeng Zhang · Zhaopeng Cui	N/A	Code
GeoNet: Benchmarking Unsupervised Adaptation Across Geographies	Tarun Kalluri · Wangdong Xu · Manmohan Chandraker	N/A	Code
Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset	Shuaizheng Liu · Xindong Zhang · Lingchen Sun · Zhetong Liang · Hui Zeng · Lei Zhang	N/A	Code
3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification	Jiazhao Zhang · Liu Dai · Fanpeng Meng · Qingnan Fan · Xuelin Chen · Kai Xu · He Wang	N/A	Code
Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling	Yulin Liu · Haoran Liu · Yingda Yin · Yang Wang · Baoquan Chen · He Wang	N/A	Code
RILS: Masked Visual Reconstruction in Language Semantic Space	Shusheng Yang · Yixiao Ge · Kun Yi · Dian Li · Ying Shan · Xiaohu Qie · Xinggang Wang	N/A	Code
ConQueR: Query Contrast Voxel-DETR for 3D Object Detection	Benjin Zhu · Zhe Wang · Shaoshuai Shi · Hang Xu · Lanqing Hong · Hongsheng Li	N/A	Code
PREIM3D: 3D Consistent Precise Image Attribute Editing From a Single Image	Jianhui Li · Jianmin Li · Haoji Zhang · Shilong Liu · Zhengyi Wang · Zihao Xiao · Kaiwen Zheng · Jun Zhu	N/A	Code
Bridging Search Region Interaction With Template for RGB-T Tracking	Tianrui Hui · Zizheng Xun · Fengguang Peng · Junshi Huang · Xiaoming Wei · Xiaolin Wei · Jiao Dai · Jizhong Han · Si Liu	N/A	Code
Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels	Jingqiu Zhou · Linjiang Huang · Liang Wang · Si Liu · Hongsheng Li	N/A	Code
Learning To Zoom and Unzoom	Chittesh Thavamani · Mengtian Li · Francesco Ferroni · Deva Ramanan	N/A	Code
MaLP: Manipulation Localization Using a Proactive Scheme	Vishal Asnani · Xi Yin · Tal Hassner · Xiaoming Liu	N/A	Code
Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning	Haiyu Wu · Grace Bezold · Aman Bhatta · Kevin W. Bowyer	N/A	Code
Visual-Tactile Sensing for In-Hand Object Reconstruction	Wenqiang Xu · Zhenjun Yu · Han Xue · Ruolin Ye · Siqiong Yao · Cewu Lu	N/A	Code
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training	Filip Radenovic · Abhimanyu Dubey · Abhishek Kadian · Todor Mihaylov · Simon Vandenhende · Yash Patel · Yi Wen · Vignesh Ramanathan · Dhruv Mahajan	N/A	Code
Semi-Supervised Domain Adaptation With Source Label Adaptation	Yu-Chu Yu · Hsuan-Tien Lin	N/A	Code
Self-Supervised Video Forensics by Audio-Visual Anomaly Detection	Chao Feng · Ziyang Chen · Andrew Owens	N/A	Code
IterativePFN: True Iterative Point Cloud Filtering	Dasith de Silva Edirimuni · Xuequan Lu · Zhiwen Shao · Gang Li · Antonio Robles-Kelly · Ying He	N/A	Code
Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time	Wei Shang · Dongwei Ren · Yi Yang · Hongzhi Zhang · Kede Ma · Wangmeng Zuo	N/A	Code
Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning	Yun-Hao Cao · Peiqin Sun · Shuchang Zhou	N/A	Code
Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking	Ziqi Pang · Jie Li · Pavel Tokmakov · Dian Chen · Sergey Zagoruyko · Yu-Xiong Wang	N/A	Code
VecFontSDF: Learning To Reconstruct and Synthesize High-Quality Vector Fonts via Signed Distance Functions	Zeqing Xia · Bojun Xiong · Zhouhui Lian	N/A	Code
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment	Baorui Ma · Junsheng Zhou · Yu-Shen Liu · Zhizhong Han	N/A	Code
Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization	Hantao Yao · Rui Zhang · Changsheng Xu	N/A	Code
Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation	Ju He · Jieneng Chen · Ming-Xian Lin · Qihang Yu · Alan L. Yuille	N/A	Code
Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography	Yue Cao · Ming Liu · Shuai Liu · Xiaotao Wang · Lei Lei · Wangmeng Zuo	N/A	Code
Dynamic Focus-Aware Positional Queries for Semantic Segmentation	Haoyu He · Jianfei Cai · Zizheng Pan · Jing Liu · Jing Zhang · Dacheng Tao · Bohan Zhuang	N/A	Code
Generic-to-Specific Distillation of Masked Autoencoders	Wei Huang · Zhiliang Peng · Li Dong · Furu Wei · Jianbin Jiao · Qixiang Ye	N/A	Code
Benchmarking Robustness of 3D Object Detection to Common Corruptions	Yinpeng Dong · Caixin Kang · Jinlai Zhang · Zijian Zhu · Yikai Wang · Xiao Yang · Hang Su · Xingxing Wei · Jun Zhu	N/A	Code
GarmentTracking: Category-Level Garment Pose Tracking	Han Xue · Wenqiang Xu · Jieyi Zhang · Tutian Tang · Yutong Li · Wenxin Du · Ruolin Ye · Cewu Lu	N/A	Code
TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets	Weixin Chen · Dawn Song · Bo Li	N/A	Code
Weakly Supervised Video Representation Learning With Unaligned Text for Sequential Videos	Sixun Dong · Huazhang Hu · Dongze Lian · Weixin Luo · Yicheng Qian · Shenghua Gao	N/A	Code
Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process	Yuhan Li · Yishun Dou · Xuanhong Chen · Bingbing Ni · Yilin Sun · Yutian Liu · Fuzhen Wang	N/A	Code
SpaText: Spatio-Textual Representation for Controllable Image Generation	Omri Avrahami · Thomas Hayes · Oran Gafni · Sonal Gupta · Yaniv Taigman · Devi Parikh · Dani Lischinski · Ohad Fried · Xi Yin	N/A	Code
Watch or Listen: Robust Audio-Visual Speech Recognition With Visual Corruption Modeling and Reliability Scoring	Joanna Hong · Minsu Kim · Jeongsoo Choi · Yong Man Ro	N/A	Code
RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation	Titas Anciukevičius · Zexiang Xu · Matthew Fisher · Paul Henderson · Hakan Bilen · Niloy J. Mitra · Paul Guerrero	N/A	Code
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints	Yaqi Shen · Le Hui · Jin Xie · Jian Yang	N/A	Code
Adaptive Annealing for Robust Geometric Estimation	Chitturi Sidhartha · Lalit Manam · Venu Madhav Govindu	N/A	Code
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising	Miaoyu Li · Ji Liu · Ying Fu · Yulun Zhang · Dejing Dou	N/A	Code
Partial Network Cloning	Jingwen Ye · Songhua Liu · Xinchao Wang	N/A	Code
Twin Contrastive Learning With Noisy Labels	Zhizhong Huang · Junping Zhang · Hongming Shan	N/A	Code
Ambiguous Medical Image Segmentation Using Diffusion Models	Aimon Rahman · Jeya Maria Jose Valanarasu · Ilker Hacihaliloglu · Vishal M. Patel	N/A	Code
High-Res Facial Appearance Capture From Polarized Smartphone Images	Dejan Azinović · Olivier Maury · Christophe Hery · Matthias Nießner · Justus Thies	N/A	Code
AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation	Takehiko Ohkawa · Kun He · Fadime Sener · Tomas Hodan · Luan Tran · Cem Keskin	N/A	Code
EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata	Chenhao Zheng · Ayush Shrivastava · Andrew Owens	N/A	Code
Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures	Gal Metzer · Elad Richardson · Or Patashnik · Raja Giryes · Daniel Cohen-Or	N/A	Code
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning	Sungmin Cha · Sungjun Cho · Dasol Hwang · Sunwon Hong · Moontae Lee · Taesup Moon	N/A	Code
Progressive Neighbor Consistency Mining for Correspondence Pruning	Xin Liu · Jufeng Yang	N/A	Code
Post-Training Quantization on Diffusion Models	Yuzhang Shang · Zhihang Yuan · Bin Xie · Bingzhe Wu · Yan Yan	N/A	Code
Fully Self-Supervised Depth Estimation From Defocus Clue	Haozhe Si · Bin Zhao · Dong Wang · Yunpeng Gao · Mulin Chen · Zhigang Wang · Xuelong Li	N/A	Code
Curricular Object Manipulation in LiDAR-Based Object Detection	Ziyue Zhu · Qiang Meng · Xiao Wang · Ke Wang · Liujiang Yan · Jian Yang	N/A	Code
Adaptive Assignment for Geometry Aware Local Feature Matching	Dihe Huang · Ying Chen · Yong Liu · Jianlin Liu · Shang Xu · Wenlong Wu · Yikang Ding · Fan Tang · Chengjie Wang	N/A	Code
RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension	Lei Jin · Gen Luo · Yiyi Zhou · Xiaoshuai Sun · Guannan Jiang · Annan Shu · Rongrong Ji	N/A	Code
ANetQA: A Large-Scale Benchmark for Fine-Grained Compositional Reasoning Over Untrimmed Videos	Zhou Yu · Lixiang Zheng · Zhou Zhao · Fei Wu · Jianping Fan · Kui Ren · Jun Yu	N/A	Code
GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds	Honghui Yang · Tong He · Jiaheng Liu · Hua Chen · Boxi Wu · Binbin Lin · Xiaofei He · Wanli Ouyang	N/A	Code
Multimodal Industrial Anomaly Detection via Hybrid Fusion	Yue Wang · Jinlong Peng · Jiangning Zhang · Ran Yi · Yabiao Wang · Chengjie Wang	N/A	Code
B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution	Byeonghyun Pak · Jaewon Lee · Kyong Hwan Jin	N/A	Code
CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation	Yuqi Lin · Minghao Chen · Wenxiao Wang · Boxi Wu · Ke Li · Binbin Lin · Haifeng Liu · Xiaofei He	N/A	Code
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation	Ludan Ruan · Yiyang Ma · Huan Yang · Huiguo He · Bei Liu · Jianlong Fu · Nicholas Jing Yuan · Qin Jin · Baining Guo	N/A	Code
FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization	Jiawei Yang · Marco Pavone · Yue Wang	N/A	Code
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory	Sicheng Li · Hao Li · Yue Wang · Yiyi Liao · Lu Yu	N/A	Code
Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks	Jierun Chen · Shiu-hong Kao · Hao He · Weipeng Zhuo · Song Wen · Chul-Ho Lee · S.-H. Gary Chan	N/A	Code
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning	Cheng Tan · Zhangyang Gao · Lirong Wu · Yongjie Xu · Jun Xia · Siyuan Li · Stan Z. Li	N/A	Code
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module	Linzhi Huang · Yulong Li · Hongbo Tian · Yue Yang · Xiangang Li · Weihong Deng · Jieping Ye	N/A	Code
Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification	Zhengwei Yang · Meng Lin · Xian Zhong · Yu Wu · Zheng Wang	N/A	Code
Feature Alignment and Uniformity for Test Time Adaptation	Shuai Wang · Daoan Zhang · Zipei Yan · Jianguo Zhang · Rui Li	N/A	Code
AeDet: Azimuth-Invariant Multi-View 3D Object Detection	Chengjian Feng · Zequn Jie · Yujie Zhong · Xiangxiang Chu · Lin Ma	N/A	Code
Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need	Tong Wei · Kai Gan	N/A	Code
OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization	Ying Zhao	N/A	Code
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization	Sungyeon Kim · Boseung Jeong · Suha Kwak	N/A	Code
Generative Diffusion Prior for Unified Image Restoration and Enhancement	Ben Fei · Zhaoyang Lyu · Liang Pan · Junzhe Zhang · Weidong Yang · Tianyue Luo · Bo Zhang · Bo Dai	N/A	Code
Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder	Aming Wu · Cheng Deng	N/A	Code
2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection	Mikhail Kennerley · Jian-Gang Wang · Bharadwaj Veeravalli · Robby T. Tan	N/A	Code
Linking Garment With Person via Semantically Associated Landmarks for Virtual Try-On	Keyu Yan · Tingwei Gao · Hui Zhang · Chengjun Xie	N/A	Code
A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation	Congqi Cao · Yue Lu · Peng Wang · Yanning Zhang	N/A	Code
DINER: Depth-Aware Image-Based NEural Radiance Fields	Malte Prinzler · Otmar Hilliges · Justus Thies	N/A	Code
Learning Personalized High Quality Volumetric Head Avatars From Monocular RGB Videos	Ziqian Bai · Feitong Tan · Zeng Huang · Kripasindhu Sarkar · Danhang Tang · Di Qiu · Abhimitra Meka · Ruofei Du · Mingsong Dou · Sergio Orts-Escolano · Rohit Pandey · Ping Tan · Thabo Beeler · Sean Fanello · Yinda Zhang	N/A	Code
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics	Artur Grigorev · Michael J. Black · Otmar Hilliges	N/A	Code
Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation	Shenghai Rong · Bohai Tu · Zilei Wang · Junjie Li	N/A	Code
Instant Volumetric Head Avatars	Wojciech Zielonka · Timo Bolkart · Justus Thies	N/A	Code
From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm	Jie Chen · Zilong Li · Yin Zhu · Junping Zhang · Jian Pu	N/A	Code
Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer	Shubh Maheshwari · Rahul Narain · Ramya Hebbalaguppe	N/A	Code
An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions	Weijia Li · Saihui Hou · Chunjie Zhang · Chunshui Cao · Xu Liu · Yongzhen Huang · Yao Zhao	N/A	Code
Event-Based Shape From Polarization	Manasi Muglikar · Leonard Bauersfeld · Diederik Paul Moeys · Davide Scaramuzza	N/A	Code
Plateau-Reduced Differentiable Path Tracing	Michael Fischer · Tobias Ritschel	N/A	Code
End-to-End Video Matting With Trimap Propagation	Wei-Lun Huang · Ming-Sui Lee	N/A	Code
Weakly-Supervised Single-View Image Relighting	Renjiao Yi · Chenyang Zhu · Kai Xu	N/A	Code
Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning	Weixuan Sun · Jiayi Zhang · Jianyuan Wang · Zheyuan Liu · Yiran Zhong · Tianpeng Feng · Yandong Guo · Yanhao Zhang · Nick Barnes	N/A	Code
Non-Contrastive Unsupervised Learning of Physiological Signals From Video	Jeremy Speth · Nathan Vance · Patrick Flynn · Adam Czajka	N/A	Code
Structured Sparsity Learning for Efficient Video Super-Resolution	Bin Xia · Jingwen He · Yulun Zhang · Yitong Wang · Yapeng Tian · Wenming Yang · Luc Van Gool	N/A	Code
ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration	Wei-Ning Hsu · Tal Remez · Bowen Shi · Jacob Donley · Yossi Adi	N/A	Code
Shape, Pose, and Appearance From a Single Image via Bootstrapped Radiance Field Inversion	Dario Pavllo · David Joseph Tan · Marie-Julie Rakotosaona · Federico Tombari	N/A	Code
Towards Better Decision Forests: Forest Alternating Optimization	Miguel Á. Carreira-Perpiñán · Magzhan Gabidolla · Arman Zharmagambetov	N/A	Code
CrOC: Cross-View Online Clustering for Dense Visual Representation Learning	Thomas Stegmüller · Tim Lebailly · Behzad Bozorgtabar · Tinne Tuytelaars · Jean-Philippe Thiran	N/A	Code
Polynomial Implicit Neural Representations for Large Diverse Datasets	Rajhans Singh · Ankita Shukla · Pavan Turaga	N/A	Code
GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency	Lin Tian · Hastings Greer · François-Xavier Vialard · Roland Kwitt · Raúl San José Estépar · Richard Jarrett Rushmore · Nikolaos Makris · Sylvain Bouix · Marc Niethammer	N/A	Code
Exploring Discontinuity for Video Frame Interpolation	Sangjin Lee · Hyeongmin Lee · Chajin Shin · Hanbin Son · Sangyoun Lee	N/A	Code
Local 3D Editing via 3D Distillation of CLIP Knowledge	Junha Hyung · Sungwon Hwang · Daejin Kim · Hyunji Lee · Jaegul Choo	N/A	Code
Dynamic Conceptional Contrastive Learning for Generalized Category Discovery	Nan Pu · Zhun Zhong · Nicu Sebe	N/A	Code
Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence	Mohammed Alloulah · Maximilian Arnold	N/A	Code
Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection	Vibashan VS · Poojan Oza · Vishal M. Patel	N/A	Code
High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition	Tianyu Luan · Yuanhao Zhai · Jingjing Meng · Zhong Li · Zhang Chen · Yi Xu · Junsong Yuan	N/A	Code
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions	Dale Decatur · Itai Lang · Rana Hanocka	N/A	Code
Egocentric Video Task Translation	Zihui Xue · Yale Song · Kristen Grauman · Lorenzo Torresani	N/A	Code
Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection	Yi Wang · Ruili Wang · Xin Fan · Tianzhu Wang · Xiangjian He	N/A	Code
Balanced Energy Regularization Loss for Out-of-Distribution Detection	hyunjun choi · Hawook Jeong · Jin Young Choi	N/A	Code
Private Image Generation With Dual-Purpose Auxiliary Classifier	Chen Chen · Daochang Liu · Siqi Ma · Surya Nepal · Chang Xu	N/A	Code
Controllable Mesh Generation Through Sparse Latent Point Diffusion Models	Zhaoyang Lyu · Jinyi Wang · Yuwei An · Ya Zhang · Dahua Lin · Bo Dai	N/A	Code
Neural Video Compression With Diverse Contexts	Jiahao Li · Bin Li · Yan Lu	N/A	Code
Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection	Bo Zhang · Jiakang Yuan · Botian Shi · Tao Chen · Yikang Li · Yu Qiao	N/A	Code
ScarceNet: Animal Pose Estimation With Scarce Annotations	Chen Li · Gim Hee Lee	N/A	Code
Fast Contextual Scene Graph Generation With Unbiased Context Augmentation	Tianlei Jin · Fangtai Guo · Qiwei Meng · Shiqiang Zhu · Xiangming Xi · Wen Wang · Zonghao Mu · Wei Song	N/A	Code
TriDet: Temporal Action Detection With Relative Boundary Modeling	Dingfeng Shi · Yujie Zhong · Qiong Cao · Lin Ma · Jia Li · Dacheng Tao	N/A	Code
Multi-Level Logit Distillation	Ying Jin · Jiaqi Wang · Dahua Lin	N/A	Code
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning	Yuqian Fu · Yu Xie · Yanwei Fu · Yu-Gang Jiang	N/A	Code
Text With Knowledge Graph Augmented Transformer for Video Captioning	Xin Gu · Guang Chen · Yufei Wang · Libo Zhang · Tiejian Luo · Longyin Wen	N/A	Code
Semantic Ray: Learning a Generalizable Semantic Field With Cross-Reprojection Attention	Fangfu Liu · Chubin Zhang · Yu Zheng · Yueqi Duan	N/A	Code
MELTR: Meta Loss Transformer for Learning To Fine-Tune Video Foundation Models	Dohwan Ko · Joonmyung Choi · Hyeong Kyu Choi · Kyoung-Woon On · Byungseok Roh · Hyunwoo J. Kim	N/A	Code
Self-Supervised AutoFlow	Hsin-Ping Huang · Charles Herrmann · Junhwa Hur · Erika Lu · Kyle Sargent · Austin Stone · Ming-Hsuan Yang · Deqing Sun	N/A	Code
Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images	Bowei Du · Yecheng Huang · Jiaxin Chen · Di Huang	N/A	Code
Context-Based Trit-Plane Coding for Progressive Image Compression	Seungmin Jeon · Kwang Pyo Choi · Youngo Park · Chang-Su Kim	N/A	Code
Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses	Junbong Jang · Kwonmoo Lee · Tae-Kyun Kim	N/A	Code
VQACL: A Novel Visual Question Answering Continual Learning Setting	Xi Zhang · Feifei Zhang · Changsheng Xu	N/A	Code
Explicit Visual Prompting for Low-Level Structure Segmentations	Weihuang Liu · Xi Shen · Chi-Man Pun · Xiaodong Cun	N/A	Code
Practical Network Acceleration With Tiny Sets	Guo-Hua Wang · Jianxin Wu	N/A	Code
Sphere-Guided Training of Neural Implicit Surfaces	Andreea Dogaru · Andrei-Timotei Ardelean · Savva Ignatyev · Egor Zakharov · Evgeny Burnaev	N/A	Code
Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection	Huajun Zhou · Bo Qiao · Lingxiao Yang · Jianhuang Lai · Xiaohua Xie	N/A	Code
FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction	Haoran Bai · Di Kang · Haoxian Zhang · Jinshan Pan · Linchao Bao	N/A	Code
Differentiable Shadow Mapping for Efficient Inverse Graphics	Markus Worchel · Marc Alexa	N/A	Code
SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation	Wenxuan Zhang · Xiaodong Cun · Xuan Wang · Yong Zhang · Xi Shen · Yu Guo · Ying Shan · Fei Wang	N/A	Code
High-Fidelity and Freely Controllable Talking Head Video Generation	Yue Gao · Yuan Zhou · Jinglu Wang · Xiao Li · Xiang Ming · Yan Lu	N/A	Code
BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation	Junheum Park · Jintae Kim · Chang-Su Kim	N/A	Code
Noisy Correspondence Learning With Meta Similarity Correction	Haochen Han · Kaiyao Miao · Qinghua Zheng · Minnan Luo	N/A	Code
EVAL: Explainable Video Anomaly Localization	Ashish Singh · Michael J. Jones · Erik G. Learned-Miller	N/A	Code
Adaptive Plasticity Improvement for Continual Learning	Yan-Shuo Liang · Wu-Jun Li	N/A	Code
Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision	Aditay Tripathi · Rishubh Singh · Anirban Chakraborty · Pradeep Shenoy	N/A	Code
MOSO: Decomposing MOtion, Scene and Object for Video Prediction	Mingzhen Sun · Weining Wang · Xinxin Zhu · Jing Liu	N/A	Code
Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses	Eric Brachmann · Tommaso Cavallari · Victor Adrian Prisacariu	N/A	Code
A Probabilistic Attention Model With Occlusion-Aware Texture Regression for 3D Hand Reconstruction From a Single RGB Image	Zheheng Jiang · Hossein Rahmani · Sue Black · Bryan M. Williams	N/A	Code
Revisiting Rotation Averaging: Uncertainties and Robust Losses	Ganlin Zhang · Viktor Larsson · Daniel Barath	N/A	Code
LiDAR-in-the-Loop Hyperparameter Optimization	Félix Goudreault · Dominik Scheuble · Mario Bijelic · Nicolas Robidoux · Felix Heide	N/A	Code
Query-Dependent Video Representation for Moment Retrieval and Highlight Detection	WonJun Moon · Sangeek Hyun · SangUk Park · Dongchan Park · Jae-Pil Heo	N/A	Code
High-Fidelity 3D Face Generation From Natural Language Descriptions	Menghua Wu · Hao Zhu · Linjia Huang · Yiyu Zhuang · Yuanxun Lu · Xun Cao	N/A	Code
NeRF-Supervised Deep Stereo	Fabio Tosi · Alessio Tonioni · Daniele De Gregorio · Matteo Poggi	N/A	Code
vMAP: Vectorised Object Mapping for Neural Field SLAM	Xin Kong · Shikun Liu · Marwan Taher · Andrew J. Davison	N/A	Code
DiffRF: Rendering-Guided 3D Radiance Field Diffusion	Norman Müller · Yawar Siddiqui · Lorenzo Porzi · Samuel Rota Bulò · Peter Kontschieder · Matthias Nießner	N/A	Code
TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers	Cheng Zhang · Hai Liu · Yongjian Deng · Bochen Xie · Youfu Li	N/A	Code
Learning a Depth Covariance Function	Eric Dexheimer · Andrew J. Davison	N/A	Code
Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model	Rolandos Alexandros Potamias · Stylianos Ploumpis · Stylianos Moschoglou · Vasileios Triantafyllou · Stefanos Zafeiriou	N/A	Code
The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks	Iuri Frosio · Jan Kautz	N/A	Code
Test of Time: Instilling Video-Language Models With a Sense of Time	Piyush Bagad · Makarand Tapaswi · Cees G. M. Snoek	N/A	Code
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects	Bowen Wen · Jonathan Tremblay · Valts Blukis · Stephen Tyree · Thomas Müller · Alex Evans · Dieter Fox · Jan Kautz · Stan Birchfield	N/A	Code
Leveraging Hidden Positives for Unsupervised Semantic Segmentation	Hyun Seok Seong · WonJun Moon · SuBeen Lee · Jae-Pil Heo	N/A	Code
BlendFields: Few-Shot Example-Driven Facial Modeling	Kacper Kania · Stephan J. Garbin · Andrea Tagliasacchi · Virginia Estellers · Kwang Moo Yi · Julien Valentin · Tomasz Trzciński · Marek Kowalski	N/A	Code
CIRCLE: Capture in Rich Contextual Environments	João Pedro Araújo · Jiaman Li · Karthik Vetrivel · Rishi Agarwal · Jiajun Wu · Deepak Gopinath · Alexander William Clegg · Karen Liu	N/A	Code
Realistic Saliency Guided Image Enhancement	S. Mahdi H. Miangoleh · Zoya Bylinskii · Eric Kee · Eli Shechtman · Yağiz Aksoy	N/A	Code
Implicit Neural Head Synthesis via Controllable Local Deformation Fields	Chuhan Chen · Matthew O’Toole · Gaurav Bharaj · Pablo Garrido	N/A	Code
Ensemble-Based Blackbox Attacks on Dense Prediction	Zikui Cai · Yaoteng Tan · M. Salman Asif	N/A	Code
NaQ: Leveraging Narrations As Queries To Supervise Episodic Memory	Santhosh Kumar Ramakrishnan · Ziad Al-Halah · Kristen Grauman	N/A	Code
Rethinking Federated Learning With Domain Shift: A Prototype View	Wenke Huang · Mang Ye · Zekun Shi · He Li · Bo Du	N/A	Code
Spatio-Temporal Pixel-Level Contrastive Learning-Based Source-Free Domain Adaptation for Video Semantic Segmentation	Shao-Yuan Lo · Poojan Oza · Sumanth Chennupati · Alejandro Galindo · Vishal M. Patel	N/A	Code
Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection	Jiakang Yuan · Bo Zhang · Xiangchao Yan · Tao Chen · Botian Shi · Yikang Li · Yu Qiao	N/A	Code
STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection	Zhenglin Zhou · Huaxia Li · Hong Liu · Nanyang Wang · Gang Yu · Rongrong Ji	N/A	Code
Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement	Xingqun Qi · Chen Liu · Muyi Sun · Lincheng Li · Changjie Fan · Xin Yu	N/A	Code
Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures	Linshan Wu · Zhun Zhong · Leyuan Fang · Xingxin He · Qiang Liu · Jiayi Ma · Hao Chen	N/A	Code
Visual Dependency Transformers: Dependency Tree Emerges From Reversed Attention	Mingyu Ding · Yikang Shen · Lijie Fan · Zhenfang Chen · Zitian Chen · Ping Luo · Joshua B. Tenenbaum · Chuang Gan	N/A	Code
Frame Flexible Network	Yitian Zhang · Yue Bai · Chang Liu · Huan Wang · Sheng Li · Yun Fu	N/A	Code
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks	Hao Li · Jinguo Zhu · Xiaohu Jiang · Xizhou Zhu · Hongsheng Li · Chun Yuan · Xiaohua Wang · Yu Qiao · Xiaogang Wang · Wenhai Wang · Jifeng Dai	N/A	Code
DCFace: Synthetic Face Generation With Dual Condition Diffusion Model	Minchul Kim · Feng Liu · Anil Jain · Xiaoming Liu	N/A	Code
Referring Image Matting	Jizhizi Li · Jing Zhang · Dacheng Tao	N/A	Code
Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids	Wei Dong · Christopher Choy · Charles Loop · Or Litany · Yuke Zhu · Anima Anandkumar	N/A	Code
DPE: Disentanglement of Pose and Expression for General Video Portrait Editing	Youxin Pang · Yong Zhang · Weize Quan · Yanbo Fan · Xiaodong Cun · Ying Shan · Dong-Ming Yan	N/A	Code
IDGI: A Framework To Eliminate Explanation Noise From Integrated Gradients	Ruo Yang · Binghui Wang · Mustafa Bilgic	N/A	Code
DynamicDet: A Unified Dynamic Architecture for Object Detection	Zhihao Lin · Yongtao Wang · Jinhe Zhang · Xiaojie Chu	N/A	Code
Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification	Honglin Li · Chenglu Zhu · Yunlong Zhang · Yuxuan Sun · Zhongyi Shui · Wenwei Kuang · Sunyi Zheng · Lin Yang	N/A	Code
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution	Jaeill Kim · Suhyun Kang · Duhun Hwang · Jungwook Shin · Wonjong Rhee	N/A	Code
Semi-Weakly Supervised Object Kinematic Motion Prediction	Gengxin Liu · Qian Sun · Haibin Huang · Chongyang Ma · Yulan Guo · Li Yi · Hui Huang · Ruizhen Hu	N/A	Code
Computational Flash Photography Through Intrinsics	Sepideh Sarajian Maralan · Chris Careaga · Yağiz Aksoy	N/A	Code
Inversion-Based Style Transfer With Diffusion Models	Yuxin Zhang · Nisha Huang · Fan Tang · Haibin Huang · Chongyang Ma · Weiming Dong · Changsheng Xu	N/A	Code
Data-Driven Feature Tracking for Event Cameras	Nico Messikommer · Carter Fang · Mathias Gehrig · Davide Scaramuzza	N/A	Code
QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation	Sicheng Yang · Zhiyong Wu · Minglei Li · Zhensong Zhang · Lei Hao · Weihong Bao · Haolin Zhuang	N/A	Code
Neural Fourier Filter Bank	Zhijie Wu · Yuhe Jin · Kwang Moo Yi	N/A	Code
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective	Yuexiao Ma · Huixia Li · Xiawu Zheng · Xuefeng Xiao · Rui Wang · Shilei Wen · Xin Pan · Fei Chao · Rongrong Ji	N/A	Code
Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns	Javier Gamazo Tejero · Martin S. Zinkernagel · Sebastian Wolf · Raphael Sznitman · Pablo Márquez-Neila	N/A	Code
Trap Attention: Monocular Depth Estimation With Manual Traps	Chao Ning · Hongping Gan	N/A	Code
Physical-World Optical Adversarial Attacks on 3D Face Recognition	Yanjie Li · Yiquan Li · Xuelong Dai · Songtao Guo · Bin Xiao	N/A	Code
Re-Thinking Federated Active Learning Based on Inter-Class Diversity	SangMook Kim · Sangmin Bae · Hwanjun Song · Se-Young Yun	N/A	Code
EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets	Peng Liao · Yaochu Jin · Wenli Du	N/A	Code
Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving	Lucas Nunes · Louis Wiesmann · Rodrigo Marcuzzi · Xieyuanli Chen · Jens Behley · Cyrill Stachniss	N/A	Code
Document Image Shadow Removal Guided by Color-Aware Background	Ling Zhang · Yinghao He · Qing Zhang · Zheng Liu · Xiaolong Zhang · Chunxia Xiao	N/A	Code
Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation	Yuanyuan Liu · Wenbin Wang · Yibing Zhan · Shaoze Feng · Kejun Liu · Zhe Chen	N/A	Code
Ham2Pose: Animating Sign Language Notation Into Pose Sequences	Rotem Shalev Arkushin · Amit Moryossef · Ohad Fried	N/A	Code
Resource-Efficient RGBD Aerial Tracking	Jinyu Yang · Shang Gao · Zhe Li · Feng Zheng · Aleš Leonardis	N/A	Code
Neural Transformation Fields for Arbitrary-Styled Font Generation	Bin Fu · Junjun He · Jianjun Wang · Yu Qiao	N/A	Code
Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection	Qianjiang Hu · Daizong Liu · Wei Hu	N/A	Code
PAniC-3D: Stylized Single-View 3D Reconstruction From Portraits of Anime Characters	Shuhong Chen · Kevin Zhang · Yichun Shi · Heng Wang · Yiheng Zhu · Guoxian Song · Sizhe An · Janus Kristjansson · Xiao Yang · Matthias Zwicker	N/A	Code
HS-Pose: Hybrid Scope Feature Extraction for Category-Level Object Pose Estimation	Linfang Zheng · Chen Wang · Yinghan Sun · Esha Dasgupta · Hua Chen · Aleš Leonardis · Wei Zhang · Hyung Jin Chang	N/A	Code
A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction From In-the-Wild Images	Biwen Lei · Jianqiang Ren · Mengyang Feng · Miaomiao Cui · Xuansong Xie	N/A	Code
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification	Yue Yang · Artemis Panagopoulou · Shenghao Zhou · Daniel Jin · Chris Callison-Burch · Mark Yatskar	N/A	Code
SfM-TTR: Using Structure From Motion for Test-Time Refinement of Single-View Depth Networks	Sergio Izquierdo · Javier Civera	N/A	Code
TINC: Tree-Structured Implicit Neural Compression	Runzhao Yang	N/A	Code
Cross-Domain Image Captioning With Discriminative Finetuning	Roberto Dessì · Michele Bevilacqua · Eleonora Gualdoni · Nathanaël Carraz Rakotonirina · Francesca Franzon · Marco Baroni	N/A	Code
Learning To Detect Mirrors From Videos via Dual Correspondences	Jiaying Lin · Xin Tan · Rynson W.H. Lau	N/A	Code
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation	Zicheng Wang · Zhen Zhao · Xiaoxia Xing · Dong Xu · Xiangyu Kong · Luping Zhou	N/A	Code
Robust Unsupervised StyleGAN Image Restoration	Yohan Poirier-Ginter · Jean-François Lalonde	N/A	Code
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-Supervised Video Representation Learning	Rui Wang · Dongdong Chen · Zuxuan Wu · Yinpeng Chen · Xiyang Dai · Mengchen Liu · Lu Yuan · Yu-Gang Jiang	N/A	Code
Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes	Zian Wang · Tianchang Shen · Jun Gao · Shengyu Huang · Jacob Munkberg · Jon Hasselgren · Zan Gojcic · Wenzheng Chen · Sanja Fidler	N/A	Code
Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation	Zhen Zhao · Lihe Yang · Sifan Long · Jimin Pi · Luping Zhou · Jingdong Wang	N/A	Code
Policy Adaptation From Foundation Model Feedback	Yuying Ge · Annabella Macaluso · Li Erran Li · Ping Luo · Xiaolong Wang	N/A	Code
Person Image Synthesis via Denoising Diffusion Model	Ankan Kumar Bhunia · Salman Khan · Hisham Cholakkal · Rao Muhammad Anwer · Jorma Laaksonen · Mubarak Shah · Fahad Shahbaz Khan	N/A	Code
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition With Pre-Trained Vision-Language Models	Wenhao Wu · Xiaohan Wang · Haipeng Luo · Jingdong Wang · Yi Yang · Wanli Ouyang	N/A	Code
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution	Jiezhang Cao · Qin Wang · Yongqin Xian · Yawei Li · Bingbing Ni · Zhiming Pi · Kai Zhang · Yulun Zhang · Radu Timofte · Luc Van Gool	N/A	Code
Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation	Phoenix Neale Williams · Ke Li	N/A	Code
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage	Haozhe Liu · Wentian Zhang · Bing Li · Haoqian Wu · Nanjun He · Yawen Huang · Yuexiang Li · Bernard Ghanem · Yefeng Zheng	N/A	Code
ViTs for SITS: Vision Transformers for Satellite Image Time Series	Michail Tarasiou · Erik Chavez · Stefanos Zafeiriou	N/A	Code
Latency Matters: Real-Time Action Forecasting Transformer	Harshayu Girase · Nakul Agarwal · Chiho Choi · Karttikeya Mangalam	N/A	Code
Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction	Oleg Voynov · Gleb Bobrovskikh · Pavel Karpyshev · Saveliy Galochkin · Andrei-Timotei Ardelean · Arseniy Bozhenko · Ekaterina Karmanova · Pavel Kopanev · Yaroslav Labutin-Rymsho · Ruslan Rakhimov · Aleksandr Safin · Valerii Serpiva · Alexey Artemov · Evgeny Burnaev · Dzmitry Tsetserukou · Denis Zorin	N/A	Code
Learning From Noisy Labels With Decoupled Meta Label Purifier	Yuanpeng Tu · Boshen Zhang · Yuxi Li · Liang Liu · Jian Li · Yabiao Wang · Chengjie Wang · Cai Rong Zhao	N/A	Code
Flow Supervision for Deformable NeRF	Chaoyang Wang · Lachlan Ewen MacDonald · László A. Jeni · Simon Lucey	N/A	Code
Unifying Vision, Text, and Layout for Universal Document Processing	Zineng Tang · Ziyi Yang · Guoxin Wang · Yuwei Fang · Yang Liu · Chenguang Zhu · Michael Zeng · Cha Zhang · Mohit Bansal	N/A	Code
BKinD-3D: Self-Supervised 3D Keypoint Discovery From Multi-View Videos	Jennifer J. Sun · Lili Karashchuk · Amil Dravid · Serim Ryou · Sonia Fereidooni · John C. Tuthill · Aggelos Katsaggelos · Bingni W. Brunton · Georgia Gkioxari · Ann Kennedy · Yisong Yue · Pietro Perona	N/A	Code
Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning	Zixuan Hu · Li Shen · Zhenyi Wang · Tongliang Liu · Chun Yuan · Dacheng Tao	N/A	Code
RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis	Luwen Duan · Min Wu · Lijian Mao · Jun Yin · Jianping Xiong · Xi Li	N/A	Code
Meta Architecture for Point Cloud Analysis	Haojia Lin · Xiawu Zheng · Lijiang Li · Fei Chao · Shanshan Wang · Yan Wang · Yonghong Tian · Rongrong Ji	N/A	Code
DyLiN: Making Light Field Networks Dynamic	Heng Yu · Joel Julin · Zoltán Á. Milacski · Koichiro Niinuma · László A. Jeni	N/A	Code
OpenMix: Exploring Outlier Samples for Misclassification Detection	Fei Zhu · Zhen Cheng · Xu-Yao Zhang · Cheng-Lin Liu	N/A	Code
Adaptive Graph Convolutional Subspace Clustering	Lai Wei · Zhengwei Chen · Jun Yin · Changming Zhu · Rigui Zhou · Jin Liu	N/A	Code
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation	Guozhen Zhang · Yuhan Zhu · Haonan Wang · Youxin Chen · Gangshan Wu · Limin Wang	N/A	Code
Hybrid Active Learning via Deep Clustering for Video Action Detection	Aayush J. Rana · Yogesh S. Rawat	N/A	Code
Equiangular Basis Vectors	Yang Shen · Xuhao Sun · Xiu-Shen Wei	N/A	Code
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection	Shuailei Ma · Yuefeng Wang · Ying Wei · Jiaqi Fan · Thomas H. Li · Hongli Liu · Fanbing Lv	N/A	Code
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity	Zhao Xie · Tian Gao · Kewei Wu · Jiao Chang	N/A	Code
GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering	Weiqing Yan · Yuanyang Zhang · Chenlei Lv · Chang Tang · Guanghui Yue · Liang Liao · Weisi Lin	N/A	Code
Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning	Zesen Wu · Mang Ye	N/A	Code
Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding	Tal Shaharabany · Lior Wolf	N/A	Code
DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization	Richard Liu · Noam Aigerman · Vladimir G. Kim · Rana Hanocka	N/A	Code
BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency	Shuo Yang · Zhaopan Xu · Kai Wang · Yang You · Hongxun Yao · Tongliang Liu · Min Xu	N/A	Code
DaFKD: Domain-Aware Federated Knowledge Distillation	Haozhao Wang · Yichen Li · Wenchao Xu · Ruixuan Li · Yufeng Zhan · Zhigang Zeng	N/A	Code
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take	Ce Liu · Suryansh Kumar · Shuhang Gu · Radu Timofte · Luc Van Gool	N/A	Code
Align Your Latents: High-Resolution Video Synthesis With Latent Diffusion Models	Andreas Blattmann · Robin Rombach · Huan Ling · Tim Dockhorn · Seung Wook Kim · Sanja Fidler · Karsten Kreis	N/A	Code
GeoLayoutLM: Geometric Pre-Training for Visual Information Extraction	Chuwei Luo · Changxu Cheng · Qi Zheng · Cong Yao	N/A	Code
VideoMAE V2: Scaling Video Masked Autoencoders With Dual Masking	Limin Wang · Bingkun Huang · Zhiyu Zhao · Zhan Tong · Yinan He · Yi Wang · Yali Wang · Yu Qiao	N/A	Code
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment	Jiangbin Zheng · Yile Wang · Cheng Tan · Siyuan Li · Ge Wang · Jun Xia · Yidong Chen · Stan Z. Li	N/A	Code
All Are Worth Words: A ViT Backbone for Diffusion Models	Fan Bao · Shen Nie · Kaiwen Xue · Yue Cao · Chongxuan Li · Hang Su · Jun Zhu	N/A	Code
PanoSwin: A Pano-Style Swin Transformer for Panorama Understanding	Zhixin Ling · Zhen Xing · Xiangdong Zhou · Manliang Cao · Guichun Zhou	N/A	Code
sRGB Real Noise Synthesizing With Neighboring Correlation-Aware Noise Model	Zixuan Fu · Lanqing Guo · Bihan Wen	N/A	Code
Extracting Class Activation Maps From Non-Discriminative Features As Well	Zhaozheng Chen · Qianru Sun	N/A	Code
GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task	Huiping Zhuang · Zhenyu Weng · Run He · Zhiping Lin · Ziqian Zeng	N/A	Code
ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer	Shen Lin · Xiaoyu Zhang · Chenyang Chen · Xiaofeng Chen · Willy Susilo	N/A	Code
PDPP:Projected Diffusion for Procedure Planning in Instructional Videos	Hanlin Wang · Yilu Wu · Sheng Guo · Limin Wang	N/A	Code
NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction	Bowen Cai · Jinchi Huang · Rongfei Jia · Chengfei Lv · Huan Fu	N/A	Code
Deep Polarization Reconstruction With PDAVIS Events	Haiyang Mei · Zuowen Wang · Xin Yang · Xiaopeng Wei · Tobi Delbruck	N/A	Code
Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers	Sifan Long · Zhen Zhao · Jimin Pi · Shengsheng Wang · Jingdong Wang	N/A	Code
PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering	Fuchen Long · Ting Yao · Zhaofan Qiu · Lusong Li · Tao Mei	N/A	Code
PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning	Huiwei Lin · Baoquan Zhang · Shanshan Feng · Xutao Li · Yunming Ye	N/A	Code
Boundary-Aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval	Tan Pan · Furong Xu · Xudong Yang · Sifeng He · Chen Jiang · Qingpei Guo · Feng Qian · Xiaobo Zhang · Yuan Cheng · Lei Yang · Wei Chu	N/A	Code
PermutoSDF: Fast Multi-View Reconstruction With Implicit Surfaces Using Permutohedral Lattices	Radu Alexandru Rosu · Sven Behnke	N/A	Code
StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis	Hao Li · Xianxu Hou · Zepeng Huang · Linlin Shen	N/A	Code
MixNeRF: Modeling a Ray With Mixture Density for Novel View Synthesis From Sparse Inputs	Seunghyeon Seo · Donghoon Han · Yeonjin Chang · Nojun Kwak	N/A	Code
Upcycling Models Under Domain and Category Shift	Sanqing Qu · Tianpei Zou · Florian Röhrbein · Cewu Lu · Guang Chen · Dacheng Tao · Changjun Jiang	N/A	Code
Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors	Yongqiang Zhang · Zhipeng Hu · Haoqian Wu · Minda Zhao · Lincheng Li · Zhengxia Zou · Changjie Fan	N/A	Code
Avatars Grow Legs: Generating Smooth Human Motion From Sparse Tracking Inputs With Diffusion Model	Yuming Du · Robin Kips · Albert Pumarola · Sebastian Starke · Ali Thabet · Artsiom Sanakoyeu	N/A	Code
MoStGAN-V: Video Generation With Temporal Motion Styles	Xiaoqian Shen · Xiang Li · Mohamed Elhoseiny	N/A	Code
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks	HyunJun Jung · Patrick Ruhkamp · Guangyao Zhai · Nikolas Brasch · Yitong Li · Yannick Verdie · Jifei Song · Yiren Zhou · Anil Armagan · Slobodan Ilic · Aleš Leonardis · Nassir Navab · Benjamin Busam	N/A	Code
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting	Aayush Kumar Tyagi · Chirag Mohapatra · Prasenjit Das · Govind Makharia · Lalita Mehra · Prathosh AP · Mausam	N/A	Code
Learning Action Changes by Measuring Verb-Adverb Textual Relationships	Davide Moltisanti · Frank Keller · Hakan Bilen · Laura Sevilla-Lara	N/A	Code
Interactive and Explainable Region-Guided Radiology Report Generation	Tim Tanida · Philip Müller · Georgios Kaissis · Daniel Rueckert	N/A	Code
Learning Neural Volumetric Representations of Dynamic Humans in Minutes	Chen Geng · Sida Peng · Zhen Xu · Hujun Bao · Xiaowei Zhou	N/A	Code
Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt	Hao Li · Dingwen Zhang · Nian Liu · Lechao Cheng · Yalun Dai · Chao Zhang · Xinggang Wang · Junwei Han	N/A	Code
Learning Rotation-Equivariant Features for Visual Correspondence	Jongmin Lee · Byungjin Kim · Seungwook Kim · Minsu Cho	N/A	Code
Co-Training 2L Submodels for Visual Recognition	Hugo Touvron · Matthieu Cord · Maxime Oquab · Piotr Bojanowski · Jakob Verbeek · Hervé Jégou	N/A	Code
HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search	Jiechao Yang · Yong Liu · Hongteng Xu	N/A	Code
LANA: A Language-Capable Navigator for Instruction Following and Generation	Xiaohan Wang · Wenguan Wang · Jiayi Shao · Yi Yang	N/A	Code
Visual Localization Using Imperfect 3D Models From the Internet	Vojtech Panek · Zuzana Kukelova · Torsten Sattler	N/A	Code
Diversity-Measurable Anomaly Detection	Wenrui Liu · Hong Chang · Bingpeng Ma · Shiguang Shan · Xilin Chen	N/A	Code
SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization	Juliette Marrie · Michael Arbel · Diane Larlus · Julien Mairal	N/A	Code
Recurrent Vision Transformers for Object Detection With Event Cameras	Mathias Gehrig · Davide Scaramuzza	N/A	Code
Efficient Verification of Neural Networks Against LVM-Based Specifications	Harleen Hanspal · Alessio Lomuscio	N/A	Code
Neuralizer: General Neuroimage Analysis Without Re-Training	Steffen Czolbe · Adrian V. Dalca	N/A	Code
MobileVOS: Real-Time Video Object Segmentation Contrastive Learning Meets Knowledge Distillation	Roy Miles · Mehmet Kerim Yucel · Bruno Manganelli · Albert Saà-Garriga	N/A	Code
SCOTCH and SODA: A Transformer Video Shadow Detection Framework	Lihao Liu · Jean Prost · Lei Zhu · Nicolas Papadakis · Pietro Liò · Carola-Bibiane Schönlieb · Angelica I. Aviles-Rivero	N/A	Code
A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance	Xianmin Xu · Yuxin Lin · Haoyang Zhou · Chong Zeng · Yaxin Yu · Kun Zhou · Hongzhi Wu	N/A	Code
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures	Eugenia Iofinova · Alexandra Peste · Dan Alistarh	N/A	Code
InstructPix2Pix: Learning To Follow Image Editing Instructions	Tim Brooks · Aleksander Holynski · Alexei A. Efros	N/A	Code
AnchorFormer: Point Cloud Completion From Discriminative Nodes	Zhikai Chen · Fuchen Long · Zhaofan Qiu · Ting Yao · Wengang Zhou · Jiebo Luo · Tao Mei	N/A	Code
Robust Test-Time Adaptation in Dynamic Scenarios	Longhui Yuan · Binhui Xie · Shuang Li	N/A	Code
AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers	Zechuan Li · Hongshan Yu · Zhengeng Yang · Tongjia Chen · Naveed Akhtar	N/A	Code
Neural Texture Synthesis With Guided Correspondence	Yang Zhou · Kaijian Chen · Rongjun Xiao · Hui Huang	N/A	Code
Learning To Render Novel Views From Wide-Baseline Stereo Pairs	Yilun Du · Cameron Smith · Ayush Tewari · Vincent Sitzmann	N/A	Code
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision	Fangqiang Ding · Andras Palffy · Dariu M. Gavrila · Chris Xiaoxuan Lu	N/A	Code
SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation	Rita Ramos · Bruno Martins · Desmond Elliott · Yova Kementchedjhieva	N/A	Code
PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers	Jiacong Xu · Zixiang Xiong · Shankar P. Bhattacharyya	N/A	Code
NeRFLight: Fast and Light Neural Radiance Fields Using a Shared Feature Grid	Fernando Rivas-Manzaneque · Jorge Sierra-Acosta · Adrian Penate-Sanchez · Francesc Moreno-Noguer · Angela Ribeiro	N/A	Code
Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts	Nikolas Lamb · Cameron Palmer · Benjamin Molloy · Sean Banerjee · Natasha Kholgade Banerjee	N/A	Code
PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration	Junle Yu · Luwei Ren · Yu Zhang · Wenhui Zhou · Lili Lin · Guojun Dai	N/A	Code
Neural Volumetric Memory for Visual Locomotion Control	Ruihan Yang · Ge Yang · Xiaolong Wang	N/A	Code
InstantAvatar: Learning Avatars From Monocular Video in 60 Seconds	Tianjian Jiang · Xu Chen · Jie Song · Otmar Hilliges	N/A	Code
TMO: Textured Mesh Acquisition of Objects With a Mobile Device by Using Differentiable Rendering	Jaehoon Choi · Dongki Jung · Taejae Lee · Sangwook Kim · Youngdong Jung · Dinesh Manocha · Donghwan Lee	N/A	Code
MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding	Jun Chen · Ming Hu · Darren J. Coker · Michael L. Berumen · Blair Costelloe · Sara Beery · Anna Rohrbach · Mohamed Elhoseiny	N/A	Code
Towards Fast Adaptation of Pretrained Contrastive Models for Multi-Channel Video-Language Retrieval	Xudong Lin · Simran Tiwari · Shiyuan Huang · Manling Li · Mike Zheng Shou · Heng Ji · Shih-Fu Chang	N/A	Code
Hierarchical Fine-Grained Image Forgery Detection and Localization	Xiao Guo · Xiaohong Liu · Zhiyuan Ren · Steven Grosz · Iacopo Masi · Xiaoming Liu	N/A	Code
SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision	Xubo Liu · Egor Lakomkin · Konstantinos Vougioukas · Pingchuan Ma · Honglie Chen · Ruiming Xie · Morrie Doulaty · Niko Moritz · Jachym Kolar · Stavros Petridis · Maja Pantic · Christian Fuegen	N/A	Code
RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts	Han Liu · Yuhao Wu · Shixuan Zhai · Bo Yuan · Ning Zhang	N/A	Code
Unsupervised Intrinsic Image Decomposition With LiDAR Intensity	Shogo Sato · Yasuhiro Yao · Taiga Yoshida · Takuhiro Kaneko · Shingo Ando · Jun Shimamura	N/A	Code
SlowLiDAR: Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples	Han Liu · Yuhao Wu · Zhiyuan Yu · Yevgeniy Vorobeychik · Ning Zhang	N/A	Code
NeFII: Inverse Rendering for Reflectance Decomposition With Near-Field Indirect Illumination	Haoqian Wu · Zhipeng Hu · Lincheng Li · Yongqiang Zhang · Changjie Fan · Xin Yu	N/A	Code
BEV-Guided Multi-Modality Fusion for Driving Perception	Yunze Man · Liang-Yan Gui · Yu-Xiong Wang	N/A	Code
MAGVLT: Masked Generative Vision-and-Language Transformer	Sungwoong Kim · Daejin Jo · Donghoon Lee · Jongmin Kim	N/A	Code
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training	Qingjie Zeng · Yutong Xie · Zilin Lu · Yong Xia	N/A	Code
Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning	Cheng-Hao Tu · Zheda Mai · Wei-Lun Chao	N/A	Code
Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning	Wenju Sun · Qingyong Li · Jing Zhang · Wen Wang · Yangli-ao Geng	N/A	Code
PMR: Prototypical Modal Rebalance for Multimodal Learning	Yunfeng Fan · Wenchao Xu · Haozhao Wang · Junxiao Wang · Song Guo	N/A	Code
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks	Samyak Jain · Sravanti Addepalli · Pawan Kumar Sahu · Priyam Dey · R. Venkatesh Babu	N/A	Code
Abstract Visual Reasoning: An Algebraic Approach for Solving Raven’s Progressive Matrices	Jingyi Xu · Tushar Vaidya · Yufei Wu · Saket Chandra · Zhangsheng Lai · Kai Fong Ernest Chong	N/A	Code
Swept-Angle Synthetic Wavelength Interferometry	Alankar Kotwal · Anat Levin · Ioannis Gkioulekas	N/A	Code
Passive Micron-Scale Time-of-Flight With Sunlight Interferometry	Alankar Kotwal · Anat Levin · Ioannis Gkioulekas	N/A	Code
Meta-Learning With a Geometry-Adaptive Preconditioner	Suhyun Kang · Duhun Hwang · Moonjung Eo · Taesup Kim · Wonjong Rhee	N/A	Code
3D GAN Inversion With Facial Symmetry Prior	Fei Yin · Yong Zhang · Xuan Wang · Tengfei Wang · Xiaoyu Li · Yuan Gong · Yanbo Fan · Xiaodong Cun · Ying Shan · Cengiz Oztireli · Yujiu Yang	N/A	Code
ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection	Yongqi An · Xu Zhao · Tao Yu · Haiyun Guo · Chaoyang Zhao · Ming Tang · Jinqiao Wang	N/A	Code
Neural Lens Modeling	Wenqi Xian · Aljaž Božič · Noah Snavely · Christoph Lassner	N/A	Code
A Probabilistic Framework for Lifelong Test-Time Adaptation	Dhanajit Brahma · Piyush Rai	N/A	Code
Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation	Linglan Zhao · Jing Lu · Yunlu Xu · Zhanzhan Cheng · Dashan Guo · Yi Niu · Xiangzhong Fang	N/A	Code
GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting	Kangyang Luo · Xiang Li · Yunshi Lan · Ming Gao	N/A	Code
Hyperspherical Embedding for Point Cloud Completion	Junming Zhang · Haomeng Zhang · Ram Vasudevan · Matthew Johnson-Roberson	N/A	Code
Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning	Hyesong Choi · Hunsang Lee · Wonil Song · Sangryul Jeon · Kwanghoon Sohn · Dongbo Min	N/A	Code
Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation	Sun-Ao Liu · Yiheng Zhang · Zhaofan Qiu · Hongtao Xie · Yongdong Zhang · Ting Yao	N/A	Code
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment	Heyuan Li · Bo Wang · Yu Cheng · Mohan Kankanhalli · Robby T. Tan	N/A	Code
SViTT: Temporal Learning of Sparse Video-Text Transformers	Yi Li · Kyle Min · Subarna Tripathi · Nuno Vasconcelos	N/A	Code
Independent Component Alignment for Multi-Task Learning	Dmitry Senushkin · Nikolay Patakin · Arseny Kuznetsov · Anton Konushin	N/A	Code
Logical Implications for Visual Question Answering Consistency	Sergio Tascon-Morales · Pablo Márquez-Neila · Raphael Sznitman	N/A	Code
MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset	Chen Feng · Ioannis Patras	N/A	Code
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks	Wenhui Wang · Hangbo Bao · Li Dong · Johan Bjorck · Zhiliang Peng · Qiang Liu · Kriti Aggarwal · Owais Khan Mohammed · Saksham Singhal · Subhojit Som · Furu Wei	N/A	Code
Manipulating Transfer Learning for Property Inference	Yulong Tian · Fnu Suya · Anshuman Suri · Fengyuan Xu · David Evans	N/A	Code
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium	Antyanta Bangunharcana · Ahmed Magd · Kyung-Soo Kim	N/A	Code
Learning a 3D Morphable Face Reflectance Model From Low-Cost Data	Yuxuan Han · Zhibo Wang · Feng Xu	N/A	Code
Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions	Tobias Kalb · Jürgen Beyerer	N/A	Code
Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models	Gowthami Somepalli · Vasu Singla · Micah Goldblum · Jonas Geiping · Tom Goldstein	N/A	Code
Adaptive Data-Free Quantization	Biao Qian · Yang Wang · Richang Hong · Meng Wang	N/A	Code
Coreset Sampling From Open-Set for Fine-Grained Self-Supervised Learning	Sungnyun Kim · Sangmin Bae · Se-Young Yun	N/A	Code
Jedi: Entropy-Based Localization and Removal of Adversarial Patches	Bilel Tarchoun · Anouar Ben Khalifa · Mohamed Ali Mahjoub · Nael Abu-Ghazaleh · Ihsen Alouani	N/A	Code
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models	Qiucheng Wu · Yujian Liu · Handong Zhao · Ajinkya Kale · Trung Bui · Tong Yu · Zhe Lin · Yang Zhang · Shiyu Chang	N/A	Code
Semantic-Conditional Diffusion Networks for Image Captioning	Jianjie Luo · Yehao Li · Yingwei Pan · Ting Yao · Jianlin Feng · Hongyang Chao · Tao Mei	N/A	Code
Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation	Zhen Zhao · Sifan Long · Jimin Pi · Jingdong Wang · Luping Zhou	N/A	Code
Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation	Aakanksha Aakanksha · A. N. Rajagopalan	N/A	Code
MetaViewer: Towards a Unified Multi-View Representation	Ren Wang · Haoliang Sun · Yuling Ma · Xiaoming Xi · Yilong Yin	N/A	Code
Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization	Simone Barattin · Christos Tzelepis · Ioannis Patras · Nicu Sebe	N/A	Code
A Light Weight Model for Active Speaker Detection	Junhua Liao · Haihan Duan · Kanghui Feng · Wanbing Zhao · Yanbing Yang · Liangyin Chen	N/A	Code
Shifted Diffusion for Text-to-Image Generation	Yufan Zhou · Bingchen Liu · Yizhe Zhu · Xiao Yang · Changyou Chen · Jinhui Xu	N/A	Code
Modular Memorability: Tiered Representations for Video Memorability Prediction	Théo Dumont · Juan Segundo Hevia · Camilo L. Fosco	N/A	Code
Learning Articulated Shape With Keypoint Pseudo-Labels From Web Images	Anastasis Stathopoulos · Georgios Pavlakos · Ligong Han · Dimitris N. Metaxas	N/A	Code
RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases	Abhipsa Basu · Sravanti Addepalli · R. Venkatesh Babu	N/A	Code
RealImpact: A Dataset of Impact Sound Fields for Real Objects	Samuel Clarke · Ruohan Gao · Mason Wang · Mark Rau · Julia Xu · Jui-Hsien Wang · Doug L. James · Jiajun Wu	N/A	Code
Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models	Nilesh Ahuja · Parual Datta · Bhavya Kanzariya · V. Srinivasa Somayazulu · Omesh Tickoo	N/A	Code
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics	Jialu Li · Mohit Bansal	N/A	Code
Simulated Annealing in Early Layers Leads to Better Generalization	Amir M. Sarfi · Zahra Karimpour · Muawiz Chaudhary · Nasir M. Khalid · Mirco Ravanelli · Sudhir Mudur · Eugene Belilovsky	N/A	Code
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models	Jiaxian Guo · Junnan Li · Dongxu Li · Anthony Meng Huat Tiong · Boyang Li · Dacheng Tao · Steven Hoi	N/A	Code
Where We Are and What We’re Looking At: Query Based Worldwide Image Geo-Localization Using Hierarchies and Scenes	Brandon Clark · Alec Kerrigan · Parth Parag Kulkarni · Vicente Vivanco Cepeda · Mubarak Shah	N/A	Code
CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language	Aditya Sanghi · Rao Fu · Vivian Liu · Karl D.D. Willis · Hooman Shayani · Amir H. Khasahmadi · Srinath Sridhar · Daniel Ritchie	N/A	Code
Learning To Generate Text-Grounded Mask for Open-World Semantic Segmentation From Only Image-Text Pairs	Junbum Cha · Jonghwan Mun · Byungseok Roh	N/A	Code
Imitation Learning As State Matching via Differentiable Physics	Siwei Chen · Xiao Ma · Zhongwen Xu	N/A	Code
BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models	Bo Li · Kaitao Xue · Bin Liu · Yu-Kun Lai	N/A	Code
CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning	Jianlong Wu · Haozhe Yang · Tian Gan · Ning Ding · Feijun Jiang · Liqiang Nie	N/A	Code
Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration	Divya Saxena · Jiannong Cao · Jiahao Xu · Tarun Kulshrestha	N/A	Code
Learning Debiased Representations via Conditional Attribute Interpolation	Yi-Kai Zhang · Qi-Wei Wang · De-Chuan Zhan · Han-Jia Ye	N/A	Code
Weakly Supervised Posture Mining for Fine-Grained Classification	Zhenchao Tang · Hualin Yang · Calvin Yu-Chian Chen	N/A	Code
Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models	Cheng Guo · Leidong Fan · Ziyu Xue · Xiuhua Jiang	N/A	Code
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models	Ajay Jain · Amber Xie · Pieter Abbeel	N/A	Code
Adversarial Robustness via Random Projection Filters	Minjing Dong · Chang Xu	N/A	Code
IEEE Computer Society	Unknown	N/A	Code
The Computer Vision Foundation	Unknown	N/A	Code

CVPR 2024

Title	Author	PDF	Code URL
X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition	Shuofeng Sun · Yongming Rao · Jiwen Lu · Haibin Yan	N/A	Code
BiPer: Binary Neural Networks using a Periodic Function	Edwin Vargas · Claudia Correa · Carlos Hinojosa · Henry Arguello	N/A	Code
Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective	Yu Mitsuzumi · Akisato Kimura · Hisashi Kashima	N/A	Code
Putting the Object Back into Video Object Segmentation	Ho Kei Cheng · Seoung Wug Oh · Brian Price · Joon-Young Lee · Alexander G. Schwing	N/A	Code
CoDeF: Content Deformation Fields for Temporally Consistent Video Processing	Hao Ouyang · Qiuyu Wang · Yuxi Xiao · Qingyan Bai · Juntao Zhang · Kecheng Zheng · Xiaowei Zhou · Qifeng Chen · Yujun Shen	N/A	Code
Lane2Seq: Towards Unified Lane Detection via Sequence Generation	Kunyang Zhou	N/A	Code
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation	Bo-Yuan Sun · Yuqi Yang · Le Zhang · Ming-Ming Cheng · Qibin Hou	N/A	Code
Rethinking Boundary Discontinuity Problem for Oriented Object Detection	Hang Xu · Xinyuan Liu · Haonan Xu · Yike Ma · Zunjie Zhu · Chenggang Yan · Feng Dai	N/A	Code
SPIDeRS: Structured Polarization for Invisible Depth and Reflectance Sensing	Tomoki Ichikawa · Shohei Nobuhara · Ko Nishino	N/A	Code
Dual Prior Unfolding for Snapshot Compressive Imaging	Jiancheng Zhang · Haijin Zeng · Jiezhang Cao · Yongyong Chen · Dengxiu Yu · Yinping Zhao	N/A	Code
MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation	Haokai Zhu · Si-Yuan Cao · Jianxin Hu · Sitong Zuo · Beinan Yu · Jiacheng Ying · Junwei Li · Hui-Liang Shen	N/A	Code
CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers	Shahaf Arica · Or Rubin · Sapir Gershov · Shlomi Laufer	N/A	Code
UniDepth: Universal Monocular Metric Depth Estimation	Luigi Piccinelli · Yung-Hsu Yang · Christos Sakaridis · Mattia Segu · Siyuan Li · Luc Van Gool · Fisher Yu	N/A	Code
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology	Oren Kraus · Kian Kenyon-Dean · Saber Saberian · Maryam Fallah · Peter McLean · Jess Leung · Vasudev Sharma · Ayla Khan · Jia Balakrishnan · Safiye Celik · Dominique Beaini · Maciej Sypetkowski · Chi Cheng · Kristen Morse · Maureen Makes · Ben Mabey · Berton Earnshaw	N/A	Code
Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration	Shihao Zhou · Duosheng Chen · Jinshan Pan · Jinglei Shi · Jufeng Yang	N/A	Code
3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos	Jiakai Sun · Han Jiao · Guangyuan Li · Zhanjie Zhang · Lei Zhao · Wei Xing	N/A	Code
LTM: Lightweight Textured Mesh Extraction and Refinement of Large Unbounded Scenes for Efficient Storage and Real-time Rendering	Jaehoon Choi · Rajvi Shah · Qinbo Li · Yipeng Wang · Ayush Saraf · Changil Kim · Jia-Bin Huang · Dinesh Manocha · Suhib Alsisan · Johannes Kopf	N/A	Code
VCoder: Versatile Vision Encoders for Multimodal Large Language Models	Jitesh Jain · Jianwei Yang · Humphrey Shi	N/A	Code
Geometry Transfer for Stylizing Radiance Fields	Hyunyoung Jung · Seonghyeon Nam · Nikolaos Sarafianos · Sungjoo Yoo · Alexander Sorkine-Hornung · Rakesh Ranjan	N/A	Code
Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection	Xiaohong Zhang · Huisheng Ye · Jingwen Li · Qinyu Tang · Yuanqi Li · Yanwen Guo · Jie Guo	N/A	Code
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction	Inhwan Bae · Junoh Lee · Hae-Gon Jeon	N/A	Code
Efficient Meshflow and Optical Flow Estimation from Event Cameras	Xinglong Luo · Ao Luo · Zhengning Wang · Chunyu Lin · Bing Zeng · Shuaicheng Liu	N/A	Code
Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation	Keonhee Han · Dominik Muhle · Felix Wimbauer · Daniel Cremers	N/A	Code
CrossKD: Cross-Head Knowledge Distillation for Object Detection	JiaBao Wang · yuming chen · Zhaohui Zheng · Xiang Li · Ming-Ming Cheng · Qibin Hou	N/A	Code
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation	Jiaming Liu · Ran Xu · Senqiao Yang · Renrui Zhang · Qizhe Zhang · Zehui Chen · Yandong Guo · Shanghang Zhang	N/A	Code
TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing	Sherry X. Chen · Yaron Vaxman · Elad Ben Baruch · David Asulin · Aviad Moreshet · Kuo-Chin Lien · Misha Sra · Pradeep Sen	N/A	Code
Leveraging Camera Triplets for Efficient and Accurate Structure-from-Motion	Lalit Manam · Venu Madhav Govindu	N/A	Code
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation	Sanqing Qu · Tianpei Zou · Lianghua He · Florian Röhrbein · Alois Knoll · Guang Chen · Changjun Jiang	N/A	Code
CG-HOI: Contact-Guided 3D Human-Object Interaction Generation	Christian Diller · Angela Dai	N/A	Code
Seeing Motion at Nighttime with an Event Camera	Haoyue Liu · Shihan Peng · Lin Zhu · Yi Chang · Hanyu Zhou · Luxin Yan	N/A	Code
Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning	Dipam Goswami · Albin Soutif · Yuyang Liu · Sandesh Kamath · Bartłomiej Twardowski · Joost van de Weijer	N/A	Code
ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval	Fang Kaipeng · Jingkuan Song · Lianli Gao · Pengpeng Zeng · Zhi-Qi Cheng · Xiyao LI · Heng Tao Shen	N/A	Code
NeISF: Neural Incident Stokes Field for Geometry and Material Estimation	Chenhao Li · Taishi Ono · Takeshi Uemori · Hajime Mihara · Alexander Gatto · Hajime Nagahara · Yusuke Moriuchi	N/A	Code
PromptKD: Unsupervised Prompt Distillation for Vision-Language Models	Zheng Li · Xiang Li · xinyi fu · Xin Zhang · Weiqiang Wang · Shuo Chen · Jian Yang	N/A	Code
Domain Gap Embeddings for Generative Dataset Augmentation	Yinong Oliver Wang · Younjoon Chung · Chen Henry Wu · Fernando De la Torre	N/A	Code
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation	Zhekai Du · Xinyao Li · Fengling Li · Ke Lu · Lei Zhu · Jingjing Li	N/A	Code
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification	Sravanti Addepalli · Ashish Asokan · Lakshay Sharma · R. Venkatesh Babu	N/A	Code
IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation	Yizhi Song · Zhifei Zhang · Zhe Lin · Scott Cohen · Brian Price · Jianming Zhang · Soo Ye Kim · He Zhang · Wei Xiong · Daniel Aliaga	N/A	Code
Absolute Pose from One or Two Scaled and Oriented Features	Jonathan Ventura · Zuzana Kukelova · Torsten Sattler · Daniel Barath	N/A	Code
DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation	Zeeshan Hayder · Xuming He	N/A	Code
RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization	Mengqi Huang · Zhendong Mao · Mingcong Liu · Qian HE · Yongdong Zhang	N/A	Code
LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis	Zehan Zheng · Fan Lu · Weiyi Xue · Guang Chen · Changjun Jiang	N/A	Code
ECLIPSE: Efficient Continual Learning in Panoptic Segmentation with Visual Prompt Tuning	Beomyoung Kim · Joonsang Yu · Sung Ju Hwang	N/A	Code
Design2Cloth: 3D Cloth Generation from 2D Masks	Jiali Zheng · Rolandos Alexandros Potamias · Stefanos Zafeiriou	N/A	Code
DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes	Hao Yan · Zhihui Ke · Xiaobo Zhou · Tie Qiu · Xidong Shi · DaDong Jiang	N/A	Code
Rolling Shutter Correction with Intermediate Distortion Flow Estimation	Mingdeng Cao · Sidi Yang · Yujiu Yang · Yinqiang Zheng	N/A	Code
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching	Lennart Bastian · Yizheng Xie · Nassir Navab · Zorah Lähner	N/A	Code
SFOD: Spiking Fusion Object Detector	Yimeng Fan · Wei Zhang · Changsong Liu · Mingyang Li · Wenrui Lu	N/A	Code
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs	Gege Gao · Weiyang Liu · Anpei Chen · Andreas Geiger · Bernhard Schölkopf	N/A	Code
Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation	Song Wang · Jiawei Yu · Wentong Li · Wenyu Liu · Xiaolu Liu · Junbo Chen · Jianke Zhu	N/A	Code
MuRF: Multi-Baseline Radiance Fields	Haofei Xu · Anpei Chen · Yuedong Chen · Christos Sakaridis · Yulun Zhang · Marc Pollefeys · Andreas Geiger · Fisher Yu	N/A	Code
Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans	Romain Loiseau · Elliot Vincent · Mathieu Aubry · Loic Landrieu	N/A	Code
TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video	Minye Wu · Zehao Wang · Georgios Kouros · Tinne Tuytelaars	N/A	Code
PIGEON: Predicting Image Geolocations	Lukas Haas · Michal Skreta · Silas Alberti · Chelsea Finn	N/A	Code
FMA-Net: Flow-Guided Dynamic Filtering and Iterative Feature Refinement with Multi-Attention for Joint Video Super-Resolution and Deblurring	Geunhyuk Youk · Jihyong Oh · Munchurl Kim	N/A	Code
GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors	Yuan Dong · Qi Zuo · Xiaodong Gu · Weihao Yuan · zhengyi zhao · Zilong Dong · Liefeng Bo · Qixing Huang	N/A	Code
Understanding Video Transformers via Universal Concept Discovery	Matthew Kowal · Achal Dave · Rares Andrei Ambrus · Adrien Gaidon · Kosta Derpanis · Pavel Tokmakov	N/A	Code
HashPoint: Accelerated Point Searching and Sampling for Neural Rendering	Jiahao Ma · Miaomiao Liu · David Ahmedt-Aristizabal · Chuong Nguyen	N/A	Code
Kandinsky Conformal Prediction: Efficient Calibration of Image Segmentation Algorithms	Joren Brunekreef · Eric Marcus · Ray Sheombarsing · Jan-Jakob Sonke · Jonas Teuwen	N/A	Code
Synthesize Diagnose and Optimize: Towards Fine-Grained Vision-Language Understanding	Wujian Peng · Sicheng Xie · Zuyao You · Shiyi Lan · Zuxuan Wu	N/A	Code
FedAS: Bridging Inconsistency in Personalized Federated Learning	Xiyuan Yang · Wenke Huang · Mang Ye	N/A	Code
COLMAP-Free 3D Gaussian Splatting	Yang Fu · Sifei Liu · Amey Kulkarni · Jan Kautz · Alexei A. Efros · Xiaolong Wang	N/A	Code
Amodal Completion via Progressive Mixed Context Diffusion	Katherine Xu · Lingzhi Zhang · Jianbo Shi	N/A	Code
LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding	Chuwei Luo · Yufan Shen · Zhaoqing Zhu · Qi Zheng · Zhi Yu · Cong Yao	N/A	Code
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models	Hongjie Wang · Difan Liu · Yan Kang · Yijun Li · Zhe Lin · Niraj Jha · Yuchen Liu	N/A	Code
Naturally Supervised 3D Visual Grounding with Language-Regularized Concept Learners	Chun Feng · Joy Hsu · Weiyu Liu · Jiajun Wu	N/A	Code
PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF	Yutao Feng · Yintong Shang · Xuan Li · Tianjia Shao · Chenfanfu Jiang · Yin Yang	N/A	Code
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities	Boyuan Chen · Zhuo Xu · Sean Kirmani · brian ichter · Dorsa Sadigh · Leonidas Guibas · Fei Xia	N/A	Code
3D Paintbrush: Local Stylization of 3D Shapes with Cascaded Score Distillation	Dale Decatur · Itai Lang · Kfir Aberman · Rana Hanocka	N/A	Code
Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains	Bang-Dang Pham · Phong Tran · Anh Tran · Cuong Pham · Rang Nguyen · Minh Hoai	N/A	Code
RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models	Ozgur Kara · Bariscan Kurtkaya · Hidir Yesiltepe · James Rehg · Pinar Yanardag	N/A	Code
Generalizable Novel-View Synthesis using a Stereo Camera	Haechan Lee · Wonjoon Jin · Seung-Hwan Baek · Sunghyun Cho	N/A	Code
Learning Structure-from-Motion with Graph Attention Networks	Lucas Brynte · José Pedro Iglesias · Carl Olsson · Fredrik Kahl	N/A	Code
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification	Jinseong Park · Yujin Choi · Jaewook Lee	N/A	Code
Don’t Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion	Nicolas Dufour · Victor Besnier · Vicky Kalogeiton · David Picard	N/A	Code
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection	Peng Qi · Zehong Yan · Wynne Hsu · Mong Li Lee	N/A	Code
Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval	Young Kyun Jang · Donghyun Kim · Zihang Meng · Dat Huynh · Ser-Nam Lim	N/A	Code
Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes	Chi-Hsi Kung · 書緯 呂 · Yi-Hsuan Tsai · Yi-Ting Chen	N/A	Code
Diff-BGM: A Diffusion Model for Video Background Music Generation	Sizhe Li · Yiming Qin · Minghang Zheng · Xin Jin · Yang Liu	N/A	Code
ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation	Dar-Yen Chen · Hamish Tennent · Ching-Wen Hsu	N/A	Code
Specularity Factorization for Low-Light Enhancement	Saurabh Saini · P. J. Narayanan	N/A	Code
Latent Modulated Function for Computational Optimal Continuous Image Representation	Zongyao He · Zhi Jin	N/A	Code
Makeup Prior Models for 3D Facial Makeup Estimation and Applications	Xingchao Yang · Takafumi Taketomi · Yuki Endo · Yoshihiro Kanamori	N/A	Code
Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation	Sangyun Shin · Kaichen Zhou · Madhu Vankadari · Andrew Markham · Niki Trigoni	N/A	Code
OED: Towards One-stage End-to-End Dynamic Scene Graph Generation	Guan Wang · Zhimin Li · Qingchao Chen · Yang Liu	N/A	Code
SyncTalk: The Devil is in the Synchronization for Talking Head Synthesis	Ziqiao Peng · Wentao Hu · Yue Shi · Xiangyu Zhu · Xiaomei Zhang · Hao Zhao · Jun He · Hongyan Liu · Zhaoxin Fan	N/A	Code
MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning	Ahmed Agiza · Marina Neseem · Sherief Reda	N/A	Code
Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields	Haoyuan Wang · Wenbo Hu · Lei Zhu · Rynson W.H. Lau	N/A	Code
PREGO: Online Mistake Detection in PRocedural EGOcentric Videos	Alessandro Flaborea · Guido M. D'Amely di Melendugno · Leonardo Plini · Luca Scofano · Edoardo De Matteis · Antonino Furnari · Giovanni Maria Farinella · Fabio Galasso	N/A	Code
3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation	Xingguang Zhong · Yue Pan · Cyrill Stachniss · Jens Behley	N/A	Code
SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction	Yuanhui Huang · Wenzhao Zheng · Borui Zhang · Jie Zhou · Jiwen Lu	N/A	Code
DiffusionGAN3D: Boosting Text-guided 3D Generation and Domain Adaptation by Combining 3D GANs and Diffusion Priors	Biwen Lei · Kai Yu · Mengyang Feng · Miaomiao Cui · Xuansong Xie	N/A	Code
See Say and Segment: Teaching LMMs to Overcome False Premises	Tsung-Han Wu · Giscard Biamby · David Chan · Lisa Dunlap · Ritwik Gupta · XuDong Wang · Trevor Darrell · Joseph Gonzalez	N/A	Code
PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models	Fei Deng · Qifei Wang · Wei Wei · Tingbo Hou · Matthias Grundmann	N/A	Code
Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection	Jongha Kim · Jihwan Park · Jinyoung Park · Jinyoung Kim · Sehyung Kim · Hyunwoo J. Kim	N/A	Code
MMVP: A Multimodal MoCap Dataset with Vision and Pressure Sensors	He Zhang · Shenghao Ren · Haolei Yuan · Jianhui Zhao · Fan Li · Shuangpeng Sun · Zhenghao Liang · Tao Yu · Qiu Shen · Xun Cao	N/A	Code
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications	Junyi Ma · Xieyuanli Chen · Jiawei Huang · Jingyi Xu · Zhen Luo · Jintao Xu · Weihao Gu · Rui Ai · Hesheng Wang	N/A	Code
Relightable and Animatable Neural Avatar from Sparse-View Video	Zhen Xu · Sida Peng · Chen Geng · Linzhan Mou · Zihan Yan · Jiaming Sun · Hujun Bao · Xiaowei Zhou	N/A	Code
Objects as Volumes: A Stochastic Geometry View of Opaque Solids	Bailey Miller · Hanyu Chen · Alice Lai · Ioannis Gkioulekas	N/A	Code
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields	Shijie Zhou · Haoran Chang · Sicheng Jiang · Zhiwen Fan · Zehao Zhu · Dejia Xu · Pradyumna Chari · Suya You · Zhangyang Wang · Achuta Kadambi	N/A	Code
ControlRoom3D: Room Generation using Semantic Proxy Rooms	Jonas Schult · Sam Tsai · Lukas Höllein · Bichen Wu · Jialiang Wang · Chih-Yao Ma · Kunpeng Li · Xiaofang Wang · Felix Wimbauer · Zijian He · Peizhao Zhang · Bastian Leibe · Peter Vajda · Ji Hou	N/A	Code
WANDR: Intention-guided Human Motion Generation	Markos Diomataris · Nikos Athanasiou · Omid Taheri · Xi Wang · Otmar Hilliges · Michael J. Black	N/A	Code
Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval	Minkuk Kim · Hyeon Bae Kim · Jinyoung Moon · Jinwoo Choi · Seong Tae Kim	N/A	Code
Rich Human Feedback for Text-to-Image Generation	Youwei Liang · Junfeng He · Gang Li · Peizhao Li · Arseniy Klimovskiy · Nicholas Carolan · Jiao Sun · Jordi Pont-Tuset · Sarah Young · Feng Yang · Junjie Ke · Krishnamurthy Dvijotham · Katherine Collins · Yiwen Luo · Yang Li · Kai Kohlhoff · Deepak Ramachandran · Vidhya Navalpakkam	N/A	Code
SSR-Encoder: Encoding Selective Subject Representation for Subject-Driven Generation	Yuxuan Zhang · Yiren Song · Jiaming Liu · Rui Wang · Jinpeng Yu · Hao Tang · Huaxia Li · Xu Tang · Yao Hu · Han Pan · Zhongliang Jing	N/A	Code
Learning from Observer Gaze: Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition	Yuchen Zhou · Linkai Liu · Chao Gou	N/A	Code
Super-Resolution Reconstruction from Bayer-Pattern Spike Streams	Yanchen Dong · Ruiqin Xiong · Jian Zhang · Zhaofei Yu · Xiaopeng Fan · Shuyuan Zhu · Tiejun Huang	N/A	Code
Image Neural Field Diffusion Models	Yinbo Chen · Oliver Wang · Richard Zhang · Eli Shechtman · Xiaolong Wang · Michaël Gharbi	N/A	Code
Artist-Friendly Relightable and Animatable Neural Heads	Yingyan Xu · Prashanth Chandran · Sebastian Weiss · Markus Gross · Gaspard Zoss · Derek Bradley	N/A	Code
Anchor-based Robust Finetuning of Vision-Language Models	Jinwei Han · Zhiwen Lin · Zhongyisun Sun · Yingguo Gao · Ke Yan · Shouhong Ding · Yuan Gao · Gui-Song Xia	N/A	Code
SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation	Thuan Nguyen · Anh Tran	N/A	Code
Looking 3D: Anomaly Detection with 2D-3D Alignment	Ankan Kumar Bhunia · Changjian Li · Hakan Bilen	N/A	Code
EventPS: Real-Time Photometric Stereo Using an Event Camera	Bohan Yu · Jieji Ren · Jin Han · Feishi Wang · Jinxiu Liang · Boxin Shi	N/A	Code
Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D	Karran Pandey · Paul Guerrero · Matheus Gadelha · Yannick Hold-Geoffroy · Karan Singh · Niloy J. Mitra	N/A	Code
Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning	Hao Xiong · Yehui Tang · Xinyu Ye · Junchi Yan	N/A	Code
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models	Moreno D'Incà · Elia Peruzzo · Massimiliano Mancini · Dejia Xu · Vidit Goel · Xingqian Xu · Zhangyang Wang · Humphrey Shi · Nicu Sebe	N/A	Code
COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction	Qihang Ma · Xin Tan · Yanyun Qu · Lizhuang Ma · Zhizhong Zhang · Yuan Xie	N/A	Code
Towards 3D Vision with Low-Cost Single-Photon Cameras	Fangzhou Mu · Carter Sifferman · Sacha Jungerman · Yiquan Li · Zhiyue Han · Michael Gleicher · Mohit Gupta · Yin Li	N/A	Code
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now	Ayush Sarkar · Hanlin Mai · Amitabh Mahapatra · David Forsyth · Svetlana Lazebnik · Anand Bhattad	N/A	Code
Aligning Logits Generatively for Principled Black-Box Knowledge Distillation	Jing Ma · Xiang Xiang · Ke Wang · Yuchuan Wu · Yongbin Li	N/A	Code
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer	Yuwen Tan · Qinhao Zhou · Xiang Xiang · Ke Wang · Yuchuan Wu · Yongbin Li	N/A	Code
EgoGen: An Egocentric Synthetic Data Generator	Gen Li · Kaifeng Zhao · Siwei Zhang · Xiaozhong Lyu · Mihai Dusmanu · Yan Zhang · Marc Pollefeys · Siyu Tang	N/A	Code
Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models	David Stotko · Nils Wandel · Reinhard Klein	N/A	Code
M&M VTO: Multi-Garment Virtual Try-On and Editing	Luyang Zhu · Yingwei Li · Nan Liu · Hao Peng · Dawei Yang · Ira Kemelmacher-Shlizerman	N/A	Code
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection	Zihua Liu · Hiroki Sakuma · Masatoshi Okutomi	N/A	Code
Permutation Equivariance of Transformers and Its Applications	Hengyuan Xu · Liyao Xiang · Hangyu Ye · Dixi Yao · Pengzhi Chu · Baochun Li	N/A	Code
Unified Language-driven Zero-shot Domain Adaptation	Senqiao Yang · Zhuotao Tian · Li Jiang · Jiaya Jia	N/A	Code
SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments	Shibo Zhao · Yuanjun Gao · Tianhao Wu · Damanpreet Singh · Rushan Jiang · Haoxiang Sun · Mansi Sarawata · Warren Whittaker · Ian Higgins · Shaoshu Su · Yi Du · Can Xu · John Keller · Jay Karhade · Lucas Nogueira · Sourojit Saha · Yuheng Qiu · Ji Zhang · Wenshan Wang · Chen Wang · Sebastian Scherer	N/A	Code
Parameter Efficient Self-Supervised Geospatial Domain Adaptation	Linus Scheibenreif · Michael Mommert · Damian Borth	N/A	Code
SpecNeRF: Gaussian Directional Encoding for Specular Reflections	Li Ma · Vasu Agrawal · Haithem Turki · Changil Kim · Chen Gao · Pedro V. Sander · Michael Zollhoefer · Christian Richardt	N/A	Code
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers	Narges Norouzi · Svetlana Orlova · Daan de Geus · Gijs Dubbelman	N/A	Code
Scaling Laws of Synthetic Images for Model Training ... for Now	Lijie Fan · Kaifeng Chen · Dilip Krishnan · Dina Katabi · Phillip Isola · Yonglong Tian	N/A	Code
SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design	Seokju Yun · Youngmin Ro	N/A	Code
DemoCaricature: Democratising Caricature Generation with a Rough Sketch	Dar-Yen Chen · Ayan Kumar Bhunia · Subhadeep Koley · Aneeshan Sain · Pinaki Nath Chowdhury · Yi-Zhe Song	N/A	Code
GenZI: Zero-Shot 3D Human-Scene Interaction Generation	Lei Li · Angela Dai	N/A	Code
360+x: A Panoptic Multi-modal Scene Understanding Dataset	Hao Chen · Yuqi Hou · Chenyuan Qu · Irene Testini · Xiaohan Hong · Jianbo Jiao	N/A	Code
EFHQ: Multi-purpose ExtremePose-Face-HQ dataset	Trung Dao · Duc H Vu · Cuong Pham · Anh Tran	N/A	Code
Producing and Leveraging Online Map Uncertainty in Trajectory Prediction	Xunjiang Gu · Guanyu Song · Igor Gilitschenski · Marco Pavone · Boris Ivanovic	N/A	Code
FaceLift: Semi-supervised 3D Facial Landmark Localization	David Ferman · Pablo Garrido · Gaurav Bharaj	N/A	Code
TokenCompose: Text-to-Image Diffusion with Token-level Supervision	Zirui Wang · Zhizhou Sha · Zheng Ding · Yilin Wang · Zhuowen Tu	N/A	Code
MICap: A Unified Model for Identity-Aware Movie Descriptions	Haran Raajesh · Naveen Reddy Desanur · Zeeshan Khan · Makarand Tapaswi	N/A	Code
Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates	Ka Chun SHUM · Jaeyeon Kim · Binh-Son Hua · Thanh Nguyen · Sai-Kit Yeung	N/A	Code
FreeU: Free Lunch in Diffusion U-Net	Chenyang Si · Ziqi Huang · Yuming Jiang · Ziwei Liu	N/A	Code
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance	Tomer Garber · Tom Tirer	N/A	Code
Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation	Xiaohan Lei · Min Wang · Wengang Zhou · Li Li · Houqiang Li	N/A	Code
Learning Vision from Models Rivals Learning Vision from Data	Yonglong Tian · Lijie Fan · Kaifeng Chen · Dina Katabi · Dilip Krishnan · Phillip Isola	N/A	Code
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform	Chunghyun Park · Seungwook Kim · Jaesik Park · Minsu Cho	N/A	Code
RegionGPT: Towards Region Understanding Vision Language Model	Qiushan Guo · Shalini De Mello · Danny Yin · Wonmin Byeon · Ka Chun Cheung · Yizhou Yu · Ping Luo · Sifei Liu	N/A	Code
In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing	Yiran Xu · Zhixin Shu · Cameron Smith · Seoung Wug Oh · Jia-Bin Huang	N/A	Code
Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image	Yiqun Mei · Yu Zeng · He Zhang · Zhixin Shu · Xuaner Zhang · Sai Bi · Jianming Zhang · HyunJoon Jung · Vishal M. Patel	N/A	Code
Relightful Harmonization: Lighting-aware Portrait Background Replacement	Mengwei Ren · Wei Xiong · Jae Shin Yoon · Zhixin Shu · Jianming Zhang · HyunJoon Jung · Guido Gerig · He Zhang	N/A	Code
NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning	Mustafa B Gurbuz · Jean Moorman · Constantine Dovrolis	N/A	Code
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions	Saeed Khorram · Mingqi Jiang · Mohamad Shahbazi · Mohamad Hosein Danesh · Li Fuxin	N/A	Code
Matching 2D Images in 3D: Metric Relative Pose from Metric Correspondences	Axel Barroso-Laguna · Sowmya Munukutla · Victor Adrian Prisacariu · Eric Brachmann	N/A	Code
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI	Xiang Yue · Yuansheng Ni · Kai Zhang · Tianyu Zheng · Ruoqi Liu · Ge Zhang · Samuel Stevens · Dongfu Jiang · Weiming Ren · Yuxuan Sun · Cong Wei · Botao Yu · Ruibin Yuan · Renliang Sun · Ming Yin · Boyuan Zheng · Zhenzhu Yang · Yibo Liu · Wenhao Huang · Huan Sun · Yu Su · Wenhu Chen	N/A	Code
DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets	Harsh Rangwani · Pradipto Mondal · Mayank Mishra · Ashish Asokan · R. Venkatesh Babu	N/A	Code
MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video	Hengyi Wang · Jingwen Wang · Lourdes Agapito	N/A	Code
FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders	Soumen Basu · Mayuna Gupta · Chetan Madan · Pankaj Gupta · Chetan Arora	N/A	Code
CSTA: CNN-based Spatiotemporal Attention for Video Summarization	Jaewon Son · Jaehun Park · Kwangsu Kim	N/A	Code
Atom-Level Optical Chemical Structure Recognition with Limited Supervision	Martijn Oldenhof · Edward De Brouwer · Adam Arany · Yves Moreau	N/A	Code
Separating the "Chirp" from the "Chat": Self-supervised Visual Grounding of Sound and Language	Mark Hamilton · Andrew Zisserman · John Hershey · William Freeman	N/A	Code
WateRF: Robust Watermarks in Radiance Fields for Protection of Copyrights	Youngdong Jang · Dong In Lee · MinHyuk Jang · Jong Wook Kim · Feng Yang · Sangpil Kim	N/A	Code
GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models	Taoran Yi · Jiemin Fang · Junjie Wang · Guanjun Wu · Lingxi Xie · Xiaopeng Zhang · Wenyu Liu · Qi Tian · Xinggang Wang	N/A	Code
Active Generalized Category Discovery	Shijie Ma · Fei Zhu · Zhun Zhong · Xu-Yao Zhang · Cheng-Lin Liu	N/A	Code
Commonsense Prototype for Outdoor Unsupervised 3D Object Detection	Hai Wu · Shijia Zhao · Xun Huang · Chenglu Wen · Xin Li · Cheng Wang	N/A	Code
LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging	Haoyang Ge · Qiao Feng · Hailong Jia · Xiongzheng Li · Xiangjun Yin · You Zhou · Jingyu Yang · Kun Li	N/A	Code
ManiFPT: Defining and Analyzing Fingerprints of Generative Models	Hae Jin Song · Mahyar Khayatkhoei · Wael AbdAlmageed	N/A	Code
StyleCineGAN: Landscape Cinemagraph Generation using a Pre-trained StyleGAN	Jongwoo Choi · Kwanggyoon Seo · Amirsaman Ashtari · Junyong Noh	N/A	Code
MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints	Pengfei Xie · Wenqiang Xu · Tutian Tang · Zhenjun Yu · Cewu Lu	N/A	Code
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion	Xiaoyu Wu · Yang Hua · Chumeng Liang · Jiaru Zhang · Hao Wang · Tao Song · Haibing Guan	N/A	Code
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation	Ming Xu · Stephen Gould	N/A	Code
Robust Depth Enhancement via Polarization Prompt Fusion Tuning	Kei IKEMURA · Yiming Huang · Felix Heide · Zhaoxiang Zhang · Qifeng Chen · Chenyang Lei	N/A	Code
Learning Large-Factor EM Image Super-Resolution with Generative Priors	Jiateng Shou · Zeyu Xiao · Shiyu Deng · Wei Huang · ShiPeiyao · Ruobing Zhang · Zhiwei Xiong · Feng Wu	N/A	Code
GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learning	Ye Yuan · Xueting Li · Yangyi Huang · Shalini De Mello · Koki Nagano · Jan Kautz · Umar Iqbal	N/A	Code
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning	Leonardo Iurada · Marco Ciccone · Tatiana Tommasi	N/A	Code
ScoreHypo: Probabilistic Human Mesh Estimation with Hypothesis Scoring	Yuan Xu · Xiaoxuan Ma · Jiajun Su · Wentao Zhu · Yu Qiao · Yizhou Wang	N/A	Code
Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering	Kim Youwang · Tae-Hyun Oh · Gerard Pons-Moll	N/A	Code
A Theory of Joint Light and Heat Transport for Lambertian Scenes	Mani Ramanagopal · Sriram Narayanan · Aswin C. Sankaranarayanan · Srinivasa G. Narasimhan	N/A	Code
Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation	Zhiwei Yang · Kexue Fu · Minghong Duan · Linhao Qu · Shuo Wang · Zhijian Song	N/A	Code
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence	Junyi Zhang · Charles Herrmann · Junhwa Hur · Eric Chen · Varun Jampani · Deqing Sun · Ming-Hsuan Yang	N/A	Code
Amodal Ground Truth and Completion in the Wild	Guanqi Zhan · Chuanxia Zheng · Weidi Xie · Andrew Zisserman	N/A	Code
Novel Class Discovery for Ultra-Fine-Grained Visual Categorization	Qi Jia · Yaqi Cai · Qi Jia · Binglin Qiu · Weimin Wang · Nan Pu	N/A	Code
Intelligent Grimm - Open-ended Visual Storytelling via Latent Diffusion Models	Chang Liu · Haoning Wu · Yujie Zhong · Xiaoyun Zhang · Yanfeng Wang · Weidi Xie	N/A	Code
Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling	Ziwen Li · Feng Zhang · Meng Cao · Jinpu Zhang · Yuanjie Shao · Yuehuan Wang · Nong Sang	N/A	Code
Gaussian Splatting SLAM	Hidenobu Matsuki · Riku Murai · Paul Kelly · Andrew J. Davison	N/A	Code
NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis	Zinuo You · Andreas Geiger · Anpei Chen	N/A	Code
A Simple Baseline for Efficient Hand Mesh Reconstruction	zhishan zhou · shihao zhou · Zhi Lv · minqiang zou · Yao Tang · Jiajun Liang	N/A	Code
OpenEQA: Embodied Question Answering in the Era of Foundation Models	Arjun Majumdar · Anurag Ajay · Xiaohan Zhang · Sriram Yenamandra · Mikael Henaff · Alexander Sax · Sneha Silwal · Paul McVay · Oleksandr Maksymets · Sergio Arnaud · Pranav Putta · Karmesh Yadav · Qiyang Li · Benjamin Newman · Mohit Sharma · Vincent-Pierre Berges · Shiqi Zhang · Pulkit Agrawal · Dhruv Batra · Yonatan Bisk · Mrinal Kalakrishnan · Franziska Meier · Chris Paxton · Aravind Rajeswaran	N/A	Code
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification	Tingting Zheng · Kui Jiang · Hongxun Yao	N/A	Code
Privacy-Preserving Optics for Enhancing Protection in Face De-Identification	Jhon Lopez · Carlos Hinojosa · Henry Arguello · Bernard Ghanem	N/A	Code
Smooth Diffusion: Crafting Smooth Latent Spaces in Diffusion Models	Jiayi Guo · Xingqian Xu · Yifan Pu · Zanlin Ni · Chaofei Wang · Manushree Vasu · Shiji Song · Gao Huang · Humphrey Shi	N/A	Code
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents	Yuxi Wei · Zi Wang · Yifan Lu · Chenxin Xu · Changxing Liu · Hao Zhao · Siheng Chen · Yanfeng Wang	N/A	Code
Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models	Yabin Zhang · Wenjie Zhu · Hui Tang · Zhiyuan Ma · Kaiyang Zhou · Lei Zhang	N/A	Code
PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor	Vidit Goel · Elia Peruzzo · Yifan Jiang · Dejia Xu · Xingqian Xu · Nicu Sebe · Trevor Darrell · Zhangyang Wang · Humphrey Shi	N/A	Code
Learning Continuous 3D Words for Text-to-Image Generation	Ta-Ying Cheng · Matheus Gadelha · Thibault Groueix · Matthew Fisher · Radomir Mech · Andrew Markham · Niki Trigoni	N/A	Code
Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening	Yule Duan · Xiao Wu · Haoyu Deng · Liang-Jian Deng	N/A	Code
NeuRAD: Neural Rendering for Autonomous Driving	Adam Tonderski · Carl Lindström · Georg Hess · William Ljungbergh · Lennart Svensson · Christoffer Petersson	N/A	Code
Efficient Solution of Point-Line Absolute Pose	Petr Hruby · Timothy Duff · Marc Pollefeys	N/A	Code
V?: Guided Visual Search as a Core Mechanism in Multimodal LLMs	Penghao Wu · Saining Xie	N/A	Code
CAMixerSR: Only Details Need More "Attention"	Yan Wang · Yi Liu · Shijie Zhao · Junlin Li · Li zhang	N/A	Code
MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning	Chaoyi Zhang · Kevin Lin · Zhengyuan Yang · Jianfeng Wang · Linjie Li · Chung-Ching Lin · Zicheng Liu · Lijuan Wang	N/A	Code
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning	Jiangpeng He	N/A	Code
Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach	Mir Rayat Imtiaz Hossain · Mennatullah Siam · Leonid Sigal · Jim Little	N/A	Code
Face2Diffusion for Fast and Editable Face Personalization	Kaede Shiohara · Toshihiko Yamasaki	N/A	Code
HIG: Hierarchical Interlacement Graph Approach to Scene Graph Generation in Video Understanding	Trong-Thuan Nguyen · Pha Nguyen · Khoa Luu	N/A	Code
GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting	Chi Yan · Delin Qu · Dong Wang · Dan Xu · Zhigang Wang · Bin Zhao · Xuelong Li	N/A	Code
Active Object Detection with Knowledge Aggregation and Distillation from Large Models	Dejie Yang · Yang Liu	N/A	Code
ShapeWalk: Compositional Shape Editing Through Language-Guided Chains	Habib Slim · Mohamed Elhoseiny	N/A	Code
Score-Guided Diffusion for 3D Human Recovery	Anastasis Stathopoulos · Ligong Han · Dimitris N. Metaxas	N/A	Code
MRC-Net: 6-DoF Pose Estimation with MultiScale Residual Correlation	Yuelong Li · Yafei Mao · Raja Bala · Sunil Hadap	N/A	Code
RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation	Peng Lu · Tao Jiang · Yining Li · Xiangtai Li · Kai Chen · Wenming Yang	N/A	Code
SCULPT: Shape-Conditioned Unpaired Learning of Pose-dependent Clothed and Textured Human Meshes	Soubhik Sanyal · Partha Ghosh · Jinlong Yang · Michael J. Black · Justus Thies · Timo Bolkart	N/A	Code
Training-Free Pretrained Model Merging	Zhengqi Xu · Ke Yuan · Huiqiong Wang · Yong Wang · Mingli Song · Jie Song	N/A	Code
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance	Phuc Nguyen · Tuan Duc Ngo · Evangelos Kalogerakis · Chuang Gan · Anh Tran · Cuong Pham · Khoi Nguyen	N/A	Code
Faces that Speak: Jointly Synthesising Talking Face and Speech from Text	Youngjoon Jang · Jihoon Kim · Junseok Ahn · Doyeop Kwak · Hongsun Yang · Yooncheol Ju · ILHWAN KIM · Byeong-Yeol Kim · Joon Chung	N/A	Code
EGTR: Extracting Graph from Transformer for Scene Graph Generation	Jinbae Im · JeongYeon Nam · Nokyung Park · Hyungmin Lee · Seunghyun Park	N/A	Code
Continual Forgetting for Pre-trained Vision Models	Hongbo Zhao · Bolin Ni · Junsong Fan · Yuxi Wang · Yuntao Chen · Gaofeng Meng · Zhaoxiang Zhang	N/A	Code
Distributionally Generative Augmentation for Fair Facial Attribute Classification	Fengda Zhang · Qianpei He · Kun Kuang · Jiashuo Liu · Long Chen · Chao Wu · Jun Xiao · Hanwang Zhang	N/A	Code
Boosting Neural Representations for Videos with a Conditional Decoder	XINJIE ZHANG · Ren Yang · Dailan He · Xingtong Ge · Tongda Xu · Yan Wang · Hongwei Qin · Jun Zhang	N/A	Code
IReNe: Instant Recoloring of Neural Radiance Fields	Alessio Mazzucchelli · Adrian Garcia-Garcia · Elena Garces · Fernando Rivas-Manzaneque · Francesc Moreno-Noguer · Adrian Penate-Sanchez	N/A	Code
Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity	Yuhang Chen · Wenke Huang · Mang Ye	N/A	Code
Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization	Takuhiro Kaneko	N/A	Code
FastMAC: Stochastic Spectral Sampling of Correspondence Graph	Yifei Zhang · Hao Zhao · Hongyang Li · Siheng Chen	N/A	Code
Learning the 3D Fauna of the Web	Zizhang Li · Dor Litvak · Ruining Li · Yunzhi Zhang · Tomas Jakab · Christian Rupprecht · Shangzhe Wu · Andrea Vedaldi · Jiajun Wu	N/A	Code
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers	Hongjie Wang · Bhishma Dedhia · Niraj Jha	N/A	Code
URHand: Universal Relightable Hands	Zhaoxi Chen · Gyeongsik Moon · Kaiwen Guo · Chen Cao · Stanislav Pidhorskyi · Tomas Simon · Rohan Joshi · Yuan Dong · Yichen Xu · Bernardo Pires · He Wen · Lucas Evans · Bo Peng · Julia Buffalini · Autumn Trimble · Kevyn McPhail · Melissa Schoeller · Shoou-I Yu · Javier Romero · Michael Zollhoefer · Yaser Sheikh · Ziwei Liu · Shunsuke Saito	N/A	Code
Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions	Oindrila Saha · Grant Horn · Subhransu Maji	N/A	Code
SIGNeRF: Scene Integrated Generation for Neural Radiance Fields	Jan-Niklas Dihlmann · Andreas Engelhardt · Hendrik Lensch	N/A	Code
Synergistic Global-space Camera and Human Reconstruction from Videos	Yizhou Zhao · Tuanfeng Y. Wang · Bhiksha Raj · Min Xu · Jimei Yang · Chun-Hao P. Huang	N/A	Code
Neural Implicit Morphing of Face Images	Guilherme Schardong · Tiago Novello · Hallison Paz · Iurii Medvedev · Vinícius Silva · Luiz Velho · Nuno Gonçalves	N/A	Code
Towards Generalizing to Unseen Domains with Few Labels	Chamuditha Jayanga Galappaththige · Sanoojan Baliah · Malitha Gunawardhana · Muhammad Haris Khan	N/A	Code
Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps	Octave Mariotti · Oisin Mac Aodha · Hakan Bilen	N/A	Code
GLID: Pre-training a Generalist Encoder-Decoder Vision Model	Jihao Liu · Jinliang Zheng · Yu Liu · Hongsheng Li	N/A	Code
Control4D: Efficient 4D Portrait Editing with Text	Ruizhi Shao · Jingxiang Sun · Cheng Peng · Zerong Zheng · Boyao ZHOU · Hongwen Zhang · Yebin Liu	N/A	Code
Osprey: Pixel Understanding with Visual Instruction Tuning	Yuqian Yuan · Wentong Li · Jian liu · Dongqi Tang · Xinjie Luo · Chi Qin · Lei Zhang · Jianke Zhu	N/A	Code
NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation	Sicheng Li · Hao Li · Yiyi Liao · Lu Yu	N/A	Code
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing	Hyelin Nam · Gihyun Kwon · Geon Yeong Park · Jong Chul Ye	N/A	Code
Spacetime Gaussian Feature Splatting for Real-Time Dynamic View Synthesis	Zhan Li · Zhang Chen · Zhong Li · Yi Xu	N/A	Code
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning	Siyuan Cheng · Guanhong Tao · Yingqi Liu · Guangyu Shen · Shengwei An · Shiwei Feng · Xiangzhe Xu · Kaiyuan Zhang · Shiqing Ma · Xiangyu Zhang	N/A	Code
Long-Tailed Anomaly Detection with Learnable Class Names	Chih-Hui Ho · Kuan-Chuan Peng · Nuno Vasconcelos	N/A	Code
PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar	Tzofi Klinghoffer · Xiaoyu Xiang · Siddharth Somasundaram · Yuchen Fan · Christian Richardt · Ramesh Raskar · Rakesh Ranjan	N/A	Code
Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives	Ronghui Li · Yuxiang Zhang · Yachao Zhang · Hongwen Zhang · Jie Guo · Yan Zhang · Yebin Liu · Xiu Li	N/A	Code
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning	Rui Zhao · Bin Shi · Jianfei Ruan · Tianze Pan · Bo Dong	N/A	Code
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking	Jiapeng Tang · Angela Dai · Yinyu Nie · Lev Markhasin · Justus Thies · Matthias Nießner	N/A	Code
CNC-Net: Self-Supervised Learning for CNC Machining Operations	Mohsen Yavartanoo · Sangmin Hong · Reyhaneh Neshatavar · Kyoung Mu Lee	N/A	Code
MaxQ: Multi-Axis Query for N:M Sparsity Network	Jingyang Xiang · Siqi Li · Junhao Chen · Zhuangzhi Chen · Tianxin Huang · Linpeng Peng · Yong Liu	N/A	Code
High-Quality Facial Geometry and Appearance Capture at Home	Yuxuan Han · Junfeng Lyu · Feng Xu	N/A	Code
Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation	Mingyu Lee · Jongwon Choi	N/A	Code
Tackling the Singularities at the Endpoints of Time Intervals in Diffusion Models	Pengze Zhang · Hubery Yin · Chen Li · Xiaohua Xie	N/A	Code
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models	Haoning Wu · Zicheng Zhang · Erli Zhang · Chaofeng Chen · Liang Liao · Annan Wang · Kaixin Xu · Chunyi Li · Jingwen Hou · Guangtao Zhai · Xue Geng · Wenxiu Sun · Qiong Yan · Weisi Lin	N/A	Code
Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data	Yu Deng · Duomin Wang · Xiaohang Ren · Xingyu Chen · Baoyuan Wang	N/A	Code
Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding	Hoang-Quan Nguyen · Thanh-Dat Truong · Xuan-Bac Nguyen · Ashley Dowling · Xin Li · Khoa Luu	N/A	Code
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection	Huan Liu · Zichang Tan · Chuangchuang Tan · Yunchao Wei · Jingdong Wang · Yao Zhao	N/A	Code
MeaCap: Memory-Augmented Zero-shot Image Captioning	Zequn Zeng · Yan Xie · Hao Zhang · Chiyu Chen · Zhengjue Wang · Bo Chen	N/A	Code
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation	Daichi Horita · Naoto Inoue · Kotaro Kikuchi · Kota Yamaguchi · Kiyoharu Aizawa	N/A	Code
Novel View Synthesis with View-Dependent Effects from a Single Image	Juan Luis Gonzalez Bello · Munchurl Kim	N/A	Code
Wired Perspectives: Multi-View Wire Art Embraces Generative AI	Zhiyu Qu · LAN YANG · Honggang Zhang · Tao Xiang · Kaiyue Pang · Yi-Zhe Song	N/A	Code
UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures	Mingyuan Zhou · Rakib Hyder · Ziwei Xuan · Guo-Jun Qi	N/A	Code
Transfer CLIP for Generalizable Image Denoising	Jun Cheng · Dong Liang · Shan Tan	N/A	Code
Alchemist: Parametric Control of Material Properties with Diffusion Models	Prafull Sharma · Varun Jampani · Yuanzhen Li · Xuhui Jia · Dmitry Lagun · Fredo Durand · William Freeman · Mark Matthews	N/A	Code
FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning	Junyuan Zhang · Shuang Zeng · Miao Zhang · Runxi Wang · Feifei Wang · Yuyin Zhou · Paul Pu Liang · Liangqiong Qu	N/A	Code
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding	Peng Jin · Ryuichi Takanobu · Cai Zhang · Xiaochun Cao · Li Yuan	N/A	Code
Named Entity Driven Zero-Shot Image Manipulation	Zhida Feng · Li Chen · Jing Tian · Jiaxiang Liu · Shikun Feng	N/A	Code
Non-Rigid Structure-from-Motion: Temporally-Smooth Procrustean Alignment and Spatially-Variant Deformation Modeling	Jiawei Shi · Hui Deng · Yuchao Dai	N/A	Code
LAMP: Learn A Motion Pattern for Few-Shot Video Generation	Rui-Qi Wu · Liangyu Chen · Tong Yang · Chun-Le Guo · Chongyi Li · Xiangyu Zhang	N/A	Code
iKUN: Speak to Trackers without Retraining	Yunhao Du · Cheng Lei · Zhicheng Zhao · Fei Su	N/A	Code
SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction	Conghao Wong · Beihao Xia · Ziqian Zou · Yulong Wang · Xinge You	N/A	Code
Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation	Zihan Wang · Xiangyang Li · Jiahao Yang · Yeqi Liu · Junjie Hu · Ming Jiang · Shuqiang Jiang	N/A	Code
Compressed 3D Gaussian Splatting for Accelerated Novel View Synthesis	Simon Niedermayr · Josef Stumpfegger · rüdiger westermann	N/A	Code
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation	Bin Xie · Jiale Cao · Jin Xie · Fahad Shahbaz Khan · Yanwei Pang	N/A	Code
Motion Blur Decomposition with Cross-shutter Guidance	Xiang Ji · Haiyang Jiang · Yinqiang Zheng	N/A	Code
TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models	Zhongwei Zhang · Fuchen Long · Yingwei Pan · Zhaofan Qiu · Ting Yao · Yang Cao · Tao Mei	N/A	Code
Time-Efficient Light-Field Acquisition Using Coded Aperture and Events	Shuji Habuchi · Keita Takahashi · Chihiro Tsutake · Toshiaki Fujii · Hajime Nagahara	N/A	Code
Pixel-Aligned Language Model	Jiarui Xu · Xingyi Zhou · Shen Yan · Xiuye Gu · Anurag Arnab · Chen Sun · Xiaolong Wang · Cordelia Schmid	N/A	Code
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications	Yuwen Xiong · Zhiqi Li · Yuntao Chen · Feng Wang · Xizhou Zhu · Jiapeng Luo · Wenhai Wang · Tong Lu · Hongsheng Li · Yu Qiao · Lewei Lu · Jie Zhou · Jifeng Dai	N/A	Code
ASAM: Boosting Segment Anything Model with Adversarial Tuning	Bo Li · Haoke Xiao · Lv Tang	N/A	Code
ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis	Muhammad Hamza Mughal · Rishabh Dabral · Ikhsanul Habibie · Lucia Donatelli · Marc Habermann · Christian Theobalt	N/A	Code
ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models	Lukas Höllein · Aljaž Božič · Norman Müller · David Novotny · Hung-Yu Tseng · Christian Richardt · Michael Zollhoefer · Matthias Nießner	N/A	Code
Exploiting Diffusion Prior for Generalizable Dense Prediction	Hsin-Ying Lee · Hung-Yu Tseng · Hsin-Ying Lee · Ming-Hsuan Yang	N/A	Code
GSVA: Generalized Segmentation via Multimodal Large Language Models	Zhuofan Xia · Dongchen Han · Yizeng Han · Xuran Pan · Shiji Song · Gao Huang	N/A	Code
Coherent Temporal Synthesis for Incremental Action Segmentation	Guodong Ding · Hans Golong · Angela Yao	N/A	Code
Person in Place: Generating Associative Skeleton-Guidance Maps for Human-Object Interaction Image Editing	ChangHee Yang · ChanHee Kang · Kyeongbo Kong · Hanni Oh · Suk-Ju Kang	N/A	Code
Depth-aware Test-Time Training for Zero-shot Video Object Segmentation	Weihuang Liu · Xi Shen · Haolun Li · Xiuli Bi · Bo Liu · Chi-Man Pun · Xiaodong Cun	N/A	Code
Real-time 3D-aware Portrait Video Relighting	Ziqi Cai · Kaiwen Jiang · Shu-Yu Chen · Yu-Kun Lai · Hongbo Fu · Boxin Shi · Lin Gao	N/A	Code
Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network	Yong Shu · Liquan Shen · Xiangyu Hu · Mengyao Li · Zihao Zhou	N/A	Code
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data	Qihao Liu · Yi Zhang · Song Bai · Adam Kortylewski · Alan L. Yuille	N/A	Code
VOODOO 3D: Volumetric Portrait Disentanglement For One-Shot 3D Head Reenactment	Phong Tran · Egor Zakharov · Long Nhat Ho · Anh Tran · Liwen Hu · Hao Li	N/A	Code
NAPGuard: Towards Detecting Naturalistic Adversarial Patches	Siyang Wu · Jiakai Wang · Jiejie Zhao · Yazhe Wang · Xianglong Liu	N/A	Code
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning	Christopher Liao · Theodoros Tsiligkaridis · Brian Kulis	N/A	Code
Bootstrapping SparseFormers from Vision Foundation Models	Ziteng Gao · Zhan Tong · Kevin Qinghong Lin · Joya Chen · Mike Zheng Shou	N/A	Code
NARUTO: Neural Active Reconstruction from Uncertain Target Observations	Ziyue Feng · Huangying Zhan · Zheng Chen · Qingan Yan · Xiangyu Xu · Changjiang Cai · Bing Li · Qilun Zhu · Yi Xu	N/A	Code
Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches	Qing Yu · Mikihiro Tanaka · Kent Fujiwara	N/A	Code
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning	Minh-Tuan Tran · Trung Le · Xuan-May Le · Mehrtash Harandi · Dinh Phung	N/A	Code
G-NeRF: Geometry-enhanced Novel View Synthesis from Single-View Images	Zixiong Huang · Qi Chen · Libo Sun · Yifan Yang · Naizhou Wang · Qi Wu · Mingkui Tan	N/A	Code
MoCha-Stereo: Motif Channel Attention Network for Stereo Matching	Ziyang Chen · Wei Long · He Yao · Yongjun Zhang · Bingshu Wang · Yongbin Qin · Jia Wu	N/A	Code
GLACE: Global Local Accelerated Coordinate Encoding	Fangjinhua Wang · Xudong Jiang · Silvano Galliani · Christoph Vogel · Marc Pollefeys	N/A	Code
HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios	HyunJun Jung · Shun-Cheng Wu · Patrick Ruhkamp · Guangyao Zhai · Hannah Schieber · Giulia Rizzoli · Pengyuan Wang · Hongcheng Zhao · Lorenzo Garattoni · Sven Meier · Daniel Roth · Nassir Navab · Benjamin Busam	N/A	Code
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation	Petru-Daniel Tudosiu · Yongxin Yang · Shifeng Zhang · Fei Chen · Steven McDonagh · Gerasimos Lampouras · Ignacio Iacobacci · Sarah Parisot	N/A	Code
VidToMe: Video Token Merging for Zero-Shot Video Editing	Xirui Li · Chao Ma · Xiaokang Yang · Ming-Hsuan Yang	N/A	Code
Text-Image Alignment for Diffusion-Based Perception	Neehar Kondapaneni · Markus Marks · Manuel Knott · Rogério Guimarães · Pietro Perona	N/A	Code
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback	Tianyu Yu · Yuan Yao · Haoye Zhang · Taiwen He · Yifeng Han · Ganqu Cui · Jinyi Hu · Zhiyuan Liu · Hai-Tao Zheng · Maosong Sun	N/A	Code
Neural 3D Strokes: Creating Stylized 3D Scenes with Vectorized 3D Strokes	Haobin Duan · Miao Wang · Yanxun Li · Yong-Liang Yang	N/A	Code
Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline	Yu chen · Fei Gao · YanguangZhang · Maoying Qiao · Nannan Wang	N/A	Code
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation	Agneet Chatterjee · Tejas Gokhale · Chitta Baral · 'YZ' Yezhou Yang	N/A	Code
SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model	Inhwan Bae · Young-Jae Park · Hae-Gon Jeon	N/A	Code
Mitigating Motion Blur in Neural Radiance Fields with Events and Frames	Marco Cannici · Davide Scaramuzza	N/A	Code
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features	Thomas Wimmer · Peter Wonka · Maks Ovsjanikov	N/A	Code
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want	Zeyi Sun · Ye Fang · Tong Wu · Pan Zhang · Yuhang Zang · Shu Kong · Yuanjun Xiong · Dahua Lin · Jiaqi Wang	N/A	Code
DemoFusion: Democratising High-Resolution Image Generation With No $$$	Ruoyi DU · Dongliang Chang · Timothy Hospedales · Yi-Zhe Song · Zhanyu Ma	N/A	Code
Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-Training via Differentiable Rendering of Line Segments	Yusuke Takimoto · Hikari Takehara · Hiroyuki Sato · Zihao Zhu · Bo Zheng	N/A	Code
SketchINR: A First Look into Sketches as Implicit Neural Representations	Hmrishav Bandyopadhyay · Ayan Kumar Bhunia · Pinaki Nath Chowdhury · Aneeshan Sain · Tao Xiang · Timothy Hospedales · Yi-Zhe Song	N/A	Code
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving	Yuqi Wang · Jiawei He · Lue Fan · Hongxin Li · Yuntao Chen · Zhaoxiang Zhang	N/A	Code
MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection	Jakub Micorek · Horst Possegger · Dominik Narnhofer · Horst Bischof · Mateusz Kozinski	N/A	Code
Instance-level Expert Knowledge and Aggregate Discriminative Attention for Radiology Report Generation	Shenshen Bu · Taiji Li · Zhiming Dai · Yuedong Yang	N/A	Code
The Manga Whisperer: Automatically Generating Transcriptions for Comics	Ragav Sachdeva · Andrew Zisserman	N/A	Code
Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes	YuJie Lu · Long Wan · Nayu Ding · Yulong Wang · Shuhan Shen · Shen Cai · Lin Gao	N/A	Code
From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior	Jaeho Moon · Juan Luis Gonzalez Bello · Byeongjun Kwon · Munchurl Kim	N/A	Code
Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack	Sabbir Ahmed · RANYANG ZHOU · Shaahin Angizi · Adnan Rakin Rakin	N/A	Code
Mask Grounding for Referring Image Segmentation	Yong Xien Chng · Henry Zheng · Yizeng Han · Xuchong QIU · Gao Huang	N/A	Code
SignGraph: A Sign Sequence is Worth Graphs of Nodes	Shiwei Gan · Yafeng Yin · Zhiwei Jiang · Hongkai Wen · Lei Xie · Sanglu Lu	N/A	Code
Just Add ?! Pose Induced Video Transformers for Understanding Activities of Daily Living	Dominick Reilly · Srijan Das	N/A	Code
StyLitGAN: Image-Based Relighting via Latent Control	Anand Bhattad · James Soole · David Forsyth	N/A	Code
DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching	Shuzhe Wang · Juho Kannala · Daniel Barath	N/A	Code
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation	Fahimeh Hosseini Noohdani · Parsa Hosseini · Aryan Yazdan Parast · Hamidreza Araghi · Mahdieh Baghshah	N/A	Code
TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models	Haomiao Ni · Bernhard Egger · Suhas Lohit · Anoop Cherian · Ye Wang · Toshiaki Koike-Akino · Sharon X. Huang · Tim Marks	N/A	Code
PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics	Tianyi Xie · Zeshun Zong · Yuxing Qiu · Xuan Li · Yutao Feng · Yin Yang · Chenfanfu Jiang	N/A	Code
A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives	Simone Alberto Peirone · Francesca Pistilli · Antonio Alliegro · Giuseppe Averta	N/A	Code
VTQA: Visual Text Question Answering via Entity Alignment and Cross-Media Reasoning	Kang Chen · Xiangqian Wu	N/A	Code
Compact 3D Gaussian Representation for Radiance Field	Joo Chan Lee · Daniel Rho · Xiangyu Sun · Jong Hwan Ko · Eunbyung Park	N/A	Code
Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer	Rafail Fridman · Danah Yatim · Omer Bar-Tal · Yoni Kasten · Tali Dekel	N/A	Code
FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations	Christian Diller · Thomas Funkhouser · Angela Dai	N/A	Code
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models	Yushi Huang · Ruihao Gong · Jing Liu · Tianlong Chen · Xianglong Liu	N/A	Code
GaussianAvatars: Photorealistic Head Avatars with Rigged 3D Gaussians	Shenhan Qian · Tobias Kirschstein · Liam Schoneveld · Davide Davoli · Simon Giebenhain · Matthias Nießner	N/A	Code
Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling	Zhe Li · Zerong Zheng · Lizhen Wang · Yebin Liu	N/A	Code
Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models	Shengqu Cai · Duygu Ceylan · Matheus Gadelha · Chun-Hao P. Huang · Tuanfeng Y. Wang · Gordon Wetzstein	N/A	Code
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments	Yinhua Piao · Sangseon Lee · Yijingxiu Lu · Sun Kim	N/A	Code
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models	Gianni Franchi · Olivier Laurent · Maxence Leguéry · Andrei Bursuc · Andrea Pilzer · Angela Yao	N/A	Code
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting	Yankai Jiang · Zhongzhen Huang · Rongzhao Zhang · Xiaofan Zhang · Shaoting Zhang	N/A	Code
CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs	Haocheng Yuan · Jing Xu · Hao Pan · Adrien Bousseau · Niloy J. Mitra · Changjian Li	N/A	Code
Structure-Aware Sparse-View X-ray 3D Reconstruction	Yuanhao Cai · Jiahao Wang · Alan L. Yuille · Zongwei Zhou · Angtian Wang	N/A	Code
LangSplat: 3D Language Gaussian Splatting	Minghan Qin · Wanhua Li · Jiawei ZHOU · Haoqian Wang · Hanspeter Pfister	N/A	Code
Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining	Xiang Chen · Jinshan Pan · Jiangxin Dong	N/A	Code
SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors	Dave Zhenyu Chen · Haoxuan Li · Hsin-Ying Lee · Sergey Tulyakov · Matthias Nießner	N/A	Code
MonoCD: Monocular 3D Object Detection with Complementary Depths	Longfei Yan · Pei Yan · Shengzhou Xiong · Xuanyu Xiang · Yihua Tan	N/A	Code
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation	Yu Zeng · Vishal M. Patel · Haochen Wang · Xun Huang · Ting-Chun Wang · Ming-Yu Liu · Yogesh Balaji	N/A	Code
G3DR: Generative 3D Reconstruction in ImageNet	Pradyumna Reddy · Ismail Elezi · Jiankang Deng	N/A	Code
SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering	Antoine Guédon · Vincent Lepetit	N/A	Code
Zero-Reference Low-Light Enhancement via Physical Quadruple Priors	Wenjing Wang · Huan Yang · Jianlong Fu · Jiaying Liu	N/A	Code
DiffusionPoser: Real-time Human Motion Reconstruction From Arbitrary Sparse Sensors Using Autoregressive Diffusion	Tom Van Wouwe · Seunghwan Lee · Antoine Falisse · Scott Delp · Karen Liu	N/A	Code
MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning	Matteo Farina · Massimiliano Mancini · Elia Cunegatti · Gaowen Liu · Giovanni Iacca · Elisa Ricci	N/A	Code
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving	Junhao Zheng · Chenhao Lin · Jiahao Sun · Zhengyu Zhao · Qian Li · Chao Shen	N/A	Code
SeaBird: Segmentation in Bird’s View with Dice Loss Improves Monocular 3D Detection of Large Objects	Abhinav Kumar · Yuliang Guo · Xinyu Huang · Liu Ren · Xiaoming Liu	N/A	Code
Move as You Say Interact as You Can: Language-guided Human Motion Generation with Scene Affordance	Zan Wang · Yixin Chen · Baoxiong Jia · Puhao Li · Jinlu Zhang · Jingze Zhang · Tengyu Liu · Yixin Zhu · Wei Liang · Siyuan Huang	N/A	Code
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation	Yi Zhang · Meng-Hao Guo · Miao Wang · Shi-Min Hu	N/A	Code
Single Mesh Diffusion Models with Field Latents for Texture Generation	Thomas W. Mitchel · Carlos Esteves · Ameesh Makadia	N/A	Code
PEM: Prototype-based Efficient MaskFormer for Image Segmentation	Niccolò Cavagnero · Gabriele Rosi · Claudia Cuttano · Francesca Pistilli · Marco Ciccone · Giuseppe Averta · Fabio Cermelli	N/A	Code
VILA: On Pre-training for Visual Language Models	Ji Lin · Danny Yin · Wei Ping · Pavlo Molchanov · Mohammad Shoeybi · Song Han	N/A	Code
Hearing Anything Anywhere	Mason Wang · Ryosuke Sawata · Samuel Clarke · Ruohan Gao · Shangzhe Wu · Jiajun Wu	N/A	Code
Diffusion-EDFs: Bi-equivariant Denoising Generative Modeling on SE(3) for Visual Robotic Manipulation	Hyunwoo Ryu · Jiwoo Kim · Hyunseok An · Junwoo Chang · Joohwan Seo · Taehan Kim · Yubin Kim · Chaewon Hwang · Jongeun Choi · Roberto Horowitz	N/A	Code
BOTH2Hands: Inferring 3D Hands from Both Text Prompts and Body Dynamics	Wenqian Zhang · Molin Huang · Yuxuan Zhou · Juze Zhang · Jingyi Yu · Jingya Wang · Lan Xu	N/A	Code
A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models	Julio Silva-Rodríguez · Sina Hajimiri · Ismail Ben Ayed · Jose Dolz	N/A	Code
A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise?	Galadrielle Humblot-Renaux · Sergio Escalera · Thomas B. Moeslund	N/A	Code
DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos	Arjun Balasingam · Joseph Chandler · Chenning Li · Zhoutong Zhang · Hari Balakrishnan	N/A	Code
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder	Jinseok Kim · Tae-Kyun Kim	N/A	Code
Implicit Event-RGBD Neural SLAM	Delin Qu · Chi Yan · Dong Wang · Jie Yin · Qizhi Chen · Dan Xu · Yiting Zhang · Bin Zhao · Xuelong Li	N/A	Code
Three Pillars Improving Vision Foundation Model Distillation for Lidar	Gilles Puy · Spyros Gidaris · Alexandre Boulch · Oriane Siméoni · Corentin Sautier · Patrick Pérez · Andrei Bursuc · Renaud Marlet	N/A	Code
DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior	Tianyu Huang · Yihan Zeng · Zhilu Zhang · Wan Xu · Hang Xu · Songcen Xu · Rynson W.H. Lau · Wangmeng Zuo	N/A	Code
Seamless Human Motion Composition with Blended Positional Encodings	German Barquero · Sergio Escalera · Cristina Palmero	N/A	Code
Single Domain Generalization for Crowd Counting	Zhuoxuan Peng · S.-H. Gary Chan	N/A	Code
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline	Anas Al-lahham · Muhammad Zaigham Zaheer · Nurbek Tastan · Karthik Nandakumar	N/A	Code
RepKPU: Point Cloud Upsampling with Kernel Point Representation and Deformation	Yi Rong · Haoran Zhou · Kang Xia · Cheng Mei · Jiahao Wang · Tong Lu	N/A	Code
InteractDiffusion: Interaction Control in Text-to-Image Diffusion Models	Jiun Tian Hoe · Xudong Jiang · Chee Seng Chan · Yap-peng Tan · Weipeng Hu	N/A	Code
MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection	Boyang Peng · Sanqing Qu · Yong Wu · Tianpei Zou · Lianghua He · Alois Knoll · Guang Chen · Changjun Jiang	N/A	Code
4K4D: Real-Time 4D View Synthesis at 4K Resolution	Zhen Xu · Sida Peng · Haotong Lin · Guangzhao He · Jiaming Sun · Yujun Shen · Hujun Bao · Xiaowei Zhou	N/A	Code
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis	Xin Zhou · Dingkang Liang · Wei Xu · Xingkui Zhu · Yihan Xu · Zhikang Zou · Xiang Bai	N/A	Code
DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation	Junming Chen · Yunfei Liu · Jianan Wang · Ailing Zeng · Yu Li · Qifeng Chen	N/A	Code
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation	Md Mostafijur Rahman · Mustafa Munir · Radu Marculescu	N/A	Code
TokenHMR: Advancing Human Mesh Recovery with a Tokenized Pose Representation	Sai Kumar Dwivedi · Yu Sun · Priyanka Patel · Yao Feng · Michael J. Black	N/A	Code
On Exact Inversion of DPM-Solvers	Seongmin Hong · Kyeonghyun Lee · Suh Yoon Jeon · Hyewon Bae · Se Young Chun	N/A	Code
PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding	Zhen Li · Mingdeng Cao · Xintao Wang · Zhongang Qi · Ming-Ming Cheng · Ying Shan	N/A	Code
Privacy-Preserving Face Recognition Using Trainable Feature Subtraction	Yuxi Mi · Zhizhou Zhong · Yuge Huang · Jiazhen Ji · Jianqing Xu · Jun Wang · ShaoMing Wang · Shouhong Ding · Shuigeng Zhou	N/A	Code
GROUNDHOG: Grounding Large Language Models to Holistic Segmentation	Yichi Zhang · Ziqiao Ma · Xiaofeng Gao · Suhaila Shakiah · Qiaozi Gao · Joyce Chai	N/A	Code
Improving Spectral Snapshot Reconstruction with Spectral-Spatial Rectification	Jiancheng Zhang · Haijin Zeng · Yongyong Chen · Dengxiu Yu · Yinping Zhao	N/A	Code
D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection	Dinh Phat Do · Taehoon Kim · JAEMIN NA · Jiwon Kim · Keonho LEE · Kyunghwan Cho · Wonjun Hwang	N/A	Code
Logit Standardization in Knowledge Distillation	Shangquan Sun · Wenqi Ren · Jingzhi Li · Rui Wang · Xiaochun Cao	N/A	Code
Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI	Chong Wang · Lanqing Guo · Yufei Wang · Hao Cheng · Yi Yu · Bihan Wen	N/A	Code
MAGICK: A Large-scale Captioned Dataset from Matting Generated Images using Chroma Keying	Ryan Burgert · Brian Price · Jason Kuen · Yijun Li · Michael Ryoo	N/A	Code
Intrinsic Image Diffusion for Indoor Single-view Material Estimation	Peter Kocsis · Vincent Sitzmann · Matthias Nießner	N/A	Code
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection	Ximiao Zhang · Min Xu · Xiuzhuang Zhou	N/A	Code
Prompt Highlighter: Interactive Control for Multi-Modal LLMs	Yuechen Zhang · Shengju Qian · Bohao Peng · Shu Liu · Jiaya Jia	N/A	Code
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models	Lin Li · Haoyan Guan · Jianing Qiu · Michael Spratling	N/A	Code
Arbitrary Motion Style Transfer with Multi-condition Motion Latent Diffusion Model	Wenfeng Song · Xingliang Jin · Shuai Li · Chenglizhao Chen · Aimin Hao · Xia HOU · Ning Li · Hong Qin	N/A	Code
3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling	Chaokang Jiang · Guangming Wang · Jiuming Liu · Hesheng Wang · Zhuang Ma · Zhenqiang Liu · LIANG · Yi Shan · Dalong Du	N/A	Code
Video-Based Human Pose Regression via Decoupled Space-Time Aggregation	Jijie He · Wenwu Yang	N/A	Code
UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement	yaofeng xie · Lingwei Kong · Kai Chen · Zheng Ziqiang · Xiao Yu · Zhibin Yu · Bing Zheng	N/A	Code
A Generative Approach for Wikipedia-Scale Visual Entity Recognition	Mathilde Caron · Ahmet Iscen · Alireza Fathi · Cordelia Schmid	N/A	Code
PKU-DyMVHumans: A Multi-View Video Benchmark for High-Fidelity Dynamic Human Modeling	Xiaoyun Zheng · Liwei Liao · Xufeng Li · Jianbo Jiao · Rongjie Wang · Feng Gao · Shiqi Wang · Ronggang Wang	N/A	Code
DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting	Demin Yu · Xutao Li · Yunming Ye · Baoquan Zhang · Luo Chuyao · Kuai Dai · wangrui · Chenxunlai	N/A	Code
Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption	Nobuhiko Wakai · Satoshi Sato · Yasunori Ishii · Takayoshi Yamashita	N/A	Code
MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers	Yawar Siddiqui · Antonio Alliegro · Alexey Artemov · Tatiana Tommasi · Daniele Sirigatti · Vladislav Rosov · Angela Dai · Matthias Nießner	N/A	Code
MatFuse: Controllable Material Generation with Diffusion Models	Giuseppe Vecchio · Renato Sortino · Simone Palazzo · Concetto Spampinato	N/A	Code
Restoration by Generation with Constrained Priors	Zheng Ding · Xuaner Zhang · Zhuowen Tu · Zhihao Xia	N/A	Code
Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning	Pierre Marza · Laetitia Matignon · Olivier Simonin · Christian Wolf	N/A	Code
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning	Haiyang Ying · Yixuan Yin · Jinzhi Zhang · Fan Wang · Tao Yu · Ruqi Huang · Lu Fang	N/A	Code
EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protection	Xuanyu Zhang · Runyi Li · Jiwen Yu · Youmin Xu · Weiqi Li · Jian Zhang	N/A	Code
3D-LFM: Lifting Foundation Model	Mosam Dabhi · László A. Jeni · Simon Lucey	N/A	Code
Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It	Adam Lilja · Junsheng Fu · Erik Stenborg · Lars Hammarstrand	N/A	Code
CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update	Zhi Gao · Yuntao Du. · Xintong Zhang · Xiaojian Ma · Wenjuan Han · Song-Chun Zhu · Qing Li	N/A	Code
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation	Ke Guo · Zhenwei Miao · Wei Jing · Weiwei Liu · Weizi Li · Dayang Hao · Jia Pan	N/A	Code
Unified Entropy Optimization for Open-Set Test-Time Adaptation	Zhengqing Gao · Xu-Yao Zhang · Cheng-Lin Liu	N/A	Code
One-dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications	Mengyao Lyu · Yuhong Yang · Haiwen Hong · Hui Chen · Xuan Jin · Yuan He · Hui Xue · Jungong Han · Guiguang Ding	N/A	Code
Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence	Ripon Saha · Dehao Qin · Nianyi Li · Jinwei Ye · Suren Jayasuriya	N/A	Code
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces	Haithem Turki · Vasu Agrawal · Samuel Rota Bulò · Lorenzo Porzi · Peter Kontschieder · Deva Ramanan · Michael Zollhoefer · Christian Richardt	N/A	Code
Single-Model and Any-Modality for Video Object Tracking	Zongwei Wu · Jilai Zheng · Xiangxuan Ren · Florin-Alexandru Vasluianu · Chao Ma · Danda Paudel · Luc Van Gool · Radu Timofte	N/A	Code
Frequency-Adaptive Dilated Convolution for Semantic Segmentation	Linwei Chen · Lin Gu · Dezhi Zheng · Ying Fu	N/A	Code
LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels	Tuo Feng · Wenguan Wang · Fan Ma · Yi Yang	N/A	Code
MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction	Xiaolu Liu · Song Wang · Wentong Li · Ruizi Yang · Junbo Chen · Jianke Zhu	N/A	Code
Style Aligned Image Generation via Shared Attention	Amir Hertz · Andrey Voynov · Shlomi Fruchter · Daniel Cohen-Or	N/A	Code
Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining	Qi Cui · Ruohan Meng · Chaohui Xu · Chip Hong Chang	N/A	Code
TexTile: A Differentiable Metric for Texture Tileability	Carlos Rodriguez-Pardo · Dan Casas · Elena Garces · Jorge Lopez-Moreno	N/A	Code
MatSynth: A Modern PBR Materials Dataset	Giuseppe Vecchio · Valentin Deschaintre	N/A	Code
BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models	Fengyuan Shi · Jiaxi Gu · Hang Xu · Songcen Xu · Wei Zhang · Limin Wang	N/A	Code
ECoDepth: Effective Conditioning of Diffusion Models for Monocular Depth Estimation	Suraj Patni · Aradhye Agarwal · Chetan Arora	N/A	Code
Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring	Huicong Zhang · Haozhe Xie · Hongxun Yao	N/A	Code
MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark	Sanghyun Woo · Kwanyong Park · Inkyu Shin · Myungchul Kim · In So Kweon	N/A	Code
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content	Qihao Zhao · Yalun Dai · Hao Li · Wei Hu · Fan Zhang · Jun Liu	N/A	Code
How to Train Neural Field Representations: A Comprehensive Study and Benchmark	Samuele Papa · Riccardo Valperga · David Knigge · Miltiadis Kofinas · Phillip Lippe · Jan-Jakob Sonke · Efstratios Gavves	N/A	Code
Language-conditioned Detection Transformer	Jang Hyun Cho · Philipp Krähenbühl	N/A	Code
Riemannian Multinomial Logistics Regression for SPD Neural Networks	Ziheng Chen · Yue Song · Gaowen Liu · Ramana Kompella · Xiaojun Wu · Nicu Sebe	N/A	Code
Joint Reconstruction of 3D Human and Object via Contact-Based Refinement Transformer	Hyeongjin Nam · Daniel Jung · Gyeongsik Moon · Kyoung Mu Lee	N/A	Code
Digital Life Project: Autonomous 3D Characters with Social Intelligence	Zhongang Cai · Jianping Jiang · Zhongfei Qing · Xinying Guo · Mingyuan Zhang · Zhengyu Lin · Haiy Mei · Chen Wei · Wang Ruisi · Wanqi Yin · Liang Pan · Xiangyu Fan · Han Du · Peng Gao · Zhitao Yang · Yang Gao · Jiaqi Li · Tianxiang Ren · YuKun Wei · Xiaogang Wang · Chen Change Loy · Lei Yang · Ziwei Liu	N/A	Code
MonoHair: High-Fidelity Hair Modeling from a Monocular Video	Keyu Wu · LINGCHEN YANG · Zhiyi Kuang · Yao Feng · Xutao Han · Yuefan Shen · Hongbo Fu · Kun Zhou · Youyi Zheng	N/A	Code
Learned Scanpaths Aid Blind Panoramic Video Quality Assessment	Kanglong FAN · Wen Wen · Mu Li · YIFAN PENG · Kede Ma	N/A	Code
Visual Programming for Zero-shot Open-Vocabulary 3D Visual Grounding	Zhihao Yuan · Jinke Ren · Chun-Mei Feng · Hengshuang Zhao · Shuguang Cui · Zhen Li	N/A	Code
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation	Zhixuan Liu · Peter Schaldenbrand · Beverley-Claire Okogwu · Wenxuan Peng · Youngsik Yun · Andrew Hundt · Jihie Kim · Jean Oh	N/A	Code
Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households	Zhihao Cao · ZiDong Wang · Siwen Xie · Anji Liu · Lifeng Fan	N/A	Code
CMA: A Chromaticity Map Adapter for Robust Detection of Screen-Recapture Document Images	Changsheng Chen · Liangwei Lin · Yongqi Chen · Bin Li · Jishen Zeng · Jiwu Huang	N/A	Code
MAS: Multi-view Ancestral Sampling for 3D Motion Generation Using 2D Diffusion	Roy Kapon · Guy Tevet · Daniel Cohen-Or · Amit H. Bermano	N/A	Code
PointInfinity: Resolution-Invariant Point Diffusion Models	Zixuan Huang · Justin Johnson · Shoubhik Debnath · James Rehg · Chao-Yuan Wu	N/A	Code
CoralSCOP: Segment any COral Image on this Planet	Zheng Ziqiang · Liang Haixin · Binh-Son Hua · Tim, Yue Him Wong · Put ANG · Apple CHUI · Sai-Kit Yeung	N/A	Code
GroupContrast: Semantic-aware Self-supervised Representation Learning for 3D Understanding	Chengyao Wang · Li Jiang · Xiaoyang Wu · Zhuotao Tian · Bohao Peng · Hengshuang Zhao · Jiaya Jia	N/A	Code
SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM	Nikhil Keetha · Jay Karhade · Krishna Murthy Jatavallabhula · Gengshan Yang · Sebastian Scherer · Deva Ramanan · Jonathon Luiten	N/A	Code
Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging	Bhargav Ghanekar · Salman Siddique Khan · Pranav Sharma · Shreyas Singh · Vivek Boominathan · Kaushik Mitra · Ashok Veeraraghavan	N/A	Code
ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association	Shuxiao Ding · Lukas Schneider · Marius Cordts · Jürgen Gall	N/A	Code
Open Vocabulary Semantic Scene Sketch Understanding	Ahmed Bourouis · Judith Fan · Yulia Gryaditskaya	N/A	Code
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors	Nicolae Ristea · Florinel Croitoru · Radu Tudor Ionescu · Marius Popescu · Fahad Shahbaz Khan · Mubarak Shah	N/A	Code
UniPAD: A Universal Pre-training Paradigm for Autonomous Driving	Honghui Yang · Sha Zhang · Di Huang · Xiaoyang Wu · Haoyi Zhu · Tong He · SHIXIANG TANG · Hengshuang Zhao · Qibo Qiu · Binbin Lin · Xiaofei He · Wanli Ouyang	N/A	Code
You Only Need Less Attention at Each Stage in Vision Transformers	Shuoxi Zhang · Hanpeng Liu · Stephen Lin · Kun He	N/A	Code
Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection	Chuangchuang Tan · Huan Liu · Yao Zhao · Shikui Wei · Guanghua Gu · Ping Liu · Yunchao Wei	N/A	Code
MonoNPHM: Dynamic Head Reconstruction from Monocular Videos	Simon Giebenhain · Tobias Kirschstein · Markos Georgopoulos · Martin Rünz · Lourdes Agapito · Matthias Nießner	N/A	Code
Discriminative Probing and Tuning for Text-to-Image Generation	Leigang Qu · Wenjie Wang · Yongqi Li · Hanwang Zhang · Liqiang Nie · Tat-seng Chua	N/A	Code
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods	Mingqi Jiang · Saeed Khorram · Li Fuxin	N/A	Code
HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting	Yuheng Jiang · Zhehao Shen · Penghao Wang · Zhuo Su · Yu Hong · Yingliang Zhang · Jingyi Yu · Lan Xu	N/A	Code
Image Sculpting: Precise Object Editing with 3D Geometry Control	Jiraphon Yenphraphai · Xichen Pan · Sainan Liu · Daniele Panozzo · Saining Xie	N/A	Code
Doubly Abductive Counterfactual Inference for Text-based Image Editing	Xue Song · Jiequan Cui · Hanwang Zhang · Jingjing Chen · Richang Hong · Yu-Gang Jiang	N/A	Code
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion	Lucas Nunes · Rodrigo Marcuzzi · Benedikt Mersch · Jens Behley · Cyrill Stachniss	N/A	Code
UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory	Haiwen Diao · Bo Wan · Ying Zhang · Xu Jia · Huchuan Lu · Long Chen	N/A	Code
EscherNet: A Generative Model for Scalable View Synthesis	Xin Kong · Shikun Liu · Xiaoyang Lyu · Marwan Taher · Xiaojuan Qi · Andrew J. Davison	N/A	Code
MVCPS-NeuS: Multi-view Constrained Photometric Stereo for Neural Surface Reconstruction	Hiroaki Santo · Fumio Okura · Yasuyuki Matsushita	N/A	Code
Towards Memorization-Free Diffusion Models	Chen Chen · Daochang Liu · Chang Xu	N/A	Code
Semantics Distortion and Style Matter: Towards Source-free UDA for Panoramic Segmentation	Xu Zheng · Pengyuan Zhou · ATHANASIOS · Addison, Lin Wang	N/A	Code
PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness	Anh-Quan Cao · Angela Dai · Raoul de Charette	N/A	Code
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks	Kai Han · Yunhe Wang · Jianyuan Guo · Enhua Wu	N/A	Code
AV-RIR: Audio-Visual Room Impulse Response Estimation	Anton Ratnarajah · Sreyan Ghosh · Sonal Kumar · Purva Chiniya · Dinesh Manocha	N/A	Code
RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method	Ming Yan · Yan Zhang · Shuqiang Cai · Shuqi Fan · Xincheng Lin · Yudi Dai · Siqi Shen · Chenglu Wen · Lan Xu · Yuexin Ma · Cheng Wang	N/A	Code
Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields	Zhiyuan Min · Yawei Luo · Wei Yang · Yuesong Wang · Yi Yang	N/A	Code
OHTA: One-shot Hand Avatar via Data-driven Implicit Priors	Xiaozheng Zheng · Chao Wen · Zhuo Su · Zeran Xu · Zhaohu Li · Yang Zhao · Zhou Xue	N/A	Code
Instance Tracking in 3D Scenes from Egocentric Videos	Yunhan Zhao · Haoyu Ma · Shu Kong · Charless Fowlkes	N/A	Code
ID-Blau: Image Deblurring by Implicit Diffusion-based reBLurring AUgmentation	Jia-Hao Wu · Fu-Jen Tsai · Yan-Tsung Peng · Charles Tsai · Chia-Wen Lin · Yen-Yu Lin	N/A	Code
Adversarial Score Distillation: When score distillation meets GAN	Min Wei · Jingkai Zhou · Junyao Sun · Xuesong Zhang	N/A	Code
Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification	Pingping Zhang · Yuhao Wang · Yang Liu · Zhengzheng Tu · Huchuan Lu	N/A	Code
DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning	Haoran Xu · Peixi Peng · Guang Tan · Yuan Li · Xinhai Xu · Yonghong Tian	N/A	Code
QUADify: Extracting Meshes with Pixel-level Details and Materials from Images	Maximilian Frühauf · Hayko Riemenschneider · Markus Gross · Christopher Schroers	N/A	Code
FedHCA2: Towards Hetero-Client Federated Multi-Task Learning	Yuxiang Lu · Suizhi Huang · Yuwen Yang · Shalayiding Sirejiding · Yue Ding · Hongtao Lu	N/A	Code
DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data	Chengxiang Fan · Muzhi Zhu · Hao Chen · Yang Liu · Weijia Wu · Huaqi Zhang · Chunhua Shen	N/A	Code
SurMo: Surface-based 4D Motion Modeling for Dynamic Human Rendering	Tao Hu · Fangzhou Hong · Ziwei Liu	N/A	Code
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model	Chenjie Cao · Yunuo Cai · Qiaole Dong · Yikai Wang · Yanwei Fu	N/A	Code
Data Poisoning based Backdoor Attacks to Contrastive Learning	Jinghuai Zhang · Hongbin Liu · Jinyuan Jia · Neil Zhenqiang Gong	N/A	Code
DART: Implicit Doppler Tomography for Radar Novel View Synthesis	Tianshu Huang · John Miller · Akarsh Prabhakara · Tao Jin · Tarana Laroia · Zico Kolter · Anthony Rowe	N/A	Code
RoHM: Robust Human Motion Reconstruction via Diffusion	Siwei Zhang · Bharat Lal Bhatnagar · Yuanlu Xu · Alexander Winkler · Petr Kadlecek · Siyu Tang · Federica Bogo	N/A	Code
ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation	Xiaoqi Li · Mingxu Zhang · Yiran Geng · Haoran Geng · Yuxing Long · Yan Shen · Renrui Zhang · Jiaming Liu · Hao Dong	N/A	Code
Video Interpolation with Diffusion Models	Siddhant Jain · Daniel Watson · Aleksander Holynski · Eric Tabellion · Ben Poole · Janne Kontkanen	N/A	Code
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization	Jiahe Li · Jiawei Zhang · Xiao Bai · Jin Zheng · Xin Ning · Jun Zhou · Lin Gu	N/A	Code
DiffHuman: Probabilistic Photorealistic 3D Reconstruction of Humans	Akash Sengupta · Thiemo Alldieck · NIKOS KOLOTOUROS · Enric Corona · Andrei Zanfir · Cristian Sminchisescu	N/A	Code
SportsHHI: A Dataset for Human-Human Interaction Detection in Sports Videos	Tao Wu · Runyu He · Gangshan Wu · Limin Wang	N/A	Code
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning	Hongxia Li · Wei Huang · Jingya Wang · Ye Shi	N/A	Code
Dense Optical Tracking: Connecting the Dots	Guillaume Le Moing · Jean Ponce · Cordelia Schmid	N/A	Code
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object	Chenshuang Zhang · Fei Pan · Junmo Kim · In So Kweon · Chengzhi Mao	N/A	Code
Neural Markov Random Field for Stereo Matching	Tongfan Guan · Chen Wang · Yun-Hui Liu	N/A	Code
BlockGCN: Redefine Topology Awareness for Skeleton-Based Action Recognition	Yuxuan Zhou · Xudong Yan · Zhi-Qi Cheng · Yan Yan · Qi Dai · Xian-Sheng Hua	N/A	Code
Language-only Training of Zero-shot Composed Image Retrieval	Geonmo Gu · Sanghyuk Chun · Wonjae Kim · Yoohoon Kang · Sangdoo Yun	N/A	Code
Unifying Correspondence Pose and NeRF for Generalized Pose-Free Novel View Synthesis	Sunghwan Hong · Jaewoo Jung · Heeseong Shin · Jiaolong Yang · Chong Luo · Seungryong Kim	N/A	Code
Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi	Kangwei Yan · Fei Wang · Bo Qian · Han Ding · Jinsong Han · Xing Wei	N/A	Code
MemFlow: Optical Flow Estimation and Prediction with Memory	Qiaole Dong · Yanwei Fu	N/A	Code
A Unified and Interpretable Emotion Representation and Expression Generation	Reni Paskaleva · Mykyta Holubakha · Andela Ilic · Saman Motamed · Luc Van Gool · Danda Paudel	N/A	Code
SPAD: Spatially Aware Multi-View Diffusers	Yash Kant · Aliaksandr Siarohin · Ziyi Wu · Michael Vasilkovsky · Guocheng Qian · Jian Ren · Riza Alp Guler · Bernard Ghanem · Sergey Tulyakov · Igor Gilitschenski	N/A	Code
Instruct-Imagen: Image Generation with Multi-modal Instruction	Hexiang Hu · Kelvin C.K. Chan · Yu-Chuan Su · Wenhu Chen · Yandong Li · Kihyuk Sohn · Yang Zhao · Xue Ben · William Cohen · Ming-Wei Chang · Xuhui Jia	N/A	Code
DiffSal: Joint Audio and Video Learning for Diffusion Saliency Prediction	Junwen Xiong · Peng Zhang · Tao You · Chuanyue Li · Wei Huang · Yufei Zha	N/A	Code
VP3D: Unleashing 2D Visual Prompt for Text-to-3D Generation	Yang Chen · Yingwei Pan · haibo yang · Ting Yao · Tao Mei	N/A	Code
Style Blind Domain Generalized Semantic Segmentation via Covariance Alignment and Semantic Consistence Contrastive Learning	Woo-Jin Ahn · Geun-Yeong Yang · Hyunduck Choi · Myo-Taeg Lim	N/A	Code
In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging	Xin Wang · Lizhi Wang · Xiangtian Ma · Maoqing Zhang · Lin Zhu · Hua Huang	N/A	Code
Perception-Oriented Video Frame Interpolation via Asymmetric Blending	Guangyang Wu · Xin Tao · Changlin Li · Wenyi Wang · Xiaohong Liu · Qingqing Zheng	N/A	Code
Cooperation Does Matter: Exploring Multi-Order Bilateral Relations for Audio-Visual Segmentation	Qi Yang · Xing Nie · Tong Li · Gaopengfei · Ying Guo · Cheng Zhen · Pengfei Yan · Shiming Xiang	N/A	Code
Monocular Identity-Conditioned Facial Reflectance Reconstruction	Xingyu Ren · Jiankang Deng · Yuhao Cheng · Jia Guo · Chao Ma · Yichao Yan · Wenhan Zhu · Xiaokang Yang	N/A	Code
Holodeck: Language Guided Generation of 3D Embodied AI Environments	Yue Yang · Fan-Yun Sun · Luca Weihs · Eli VanderBilt · Alvaro Herrasti · Winson Han · Jiajun Wu · Nick Haber · Ranjay Krishna · Lingjie Liu · Chris Callison-Burch · Mark Yatskar · Aniruddha Kembhavi · Christopher Clark	N/A	Code
Unleashing Network Potentials for Semantic Scene Completion	Fengyun Wang · Qianru Sun · Dong Zhang · Jinhui Tang	N/A	Code
Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation	Haofeng Liu · Chenshu Xu · Yifei Yang · Lihua Zeng · Shengfeng He	N/A	Code
AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring	Xintian Mao · Xiwen Gao · Yan Wang	N/A	Code
Fully Geometric Panoramic Localization	Junho Kim · Jiwon Jeong · Young Min Kim	N/A	Code
BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image	Minje Kim · Tae-Kyun Kim	N/A	Code
DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly	Gianluca Scarpellini · Stefano Fiorini · Francesco Giuliari · Pietro Morerio · Alessio Del Bue	N/A	Code
MS-DETR: Efficient DETR Training with Mixed Supervision	Chuyang Zhao · Yifan Sun · Wenhao Wang · Qiang Chen · Errui Ding · Yi Yang · Jingdong Wang	N/A	Code
Material Palette: Extraction of Materials from a Single Image	Ivan Lopes · Fabio Pizzati · Raoul de Charette	N/A	Code
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld	Yijun Yang · Tianyi Zhou · kanxue Li · Dapeng Tao · Lusong Li · Li Shen · Xiaodong He · Jing Jiang · Yuhui Shi	N/A	Code
Differentiable Point-based Inverse Rendering	Hoon-Gyu Chung · Seokjun Choi · Seung-Hwan Baek	N/A	Code
VMINer: Versatile Multi-view Inverse Rendering with Near- and Far-field Light Sources	Fan Fei · Jiajun Tang · Ping Tan · Boxin Shi	N/A	Code
FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication	Eric Slyman · Stefan Lee · Scott Cohen · Kushal Kafle	N/A	Code
On the Test-Time Zero-Shot Generalization of Vision-Language Models: Do We Really Need Prompt Learning?	Maxime Zanella · Ismail Ben Ayed	N/A	Code
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction	Yiqun Lin · Jiewen Yang · hualiang wang · Xinpeng Ding · Wei Zhao · Xiaomeng Li	N/A	Code
OmniSDF: Scene Reconstruction using Omnidirectional Signed Distance Functions and Adaptive Binoctrees	Hakyeong Kim · Andreas Meuleman · Hyeonjoong Jang · James Tompkin · Min H. Kim	N/A	Code
Consistent Prompting for Rehearsal-Free Continual Learning	Zhanxin Gao · Jun Cen · Xiaobin Chang	N/A	Code
MedBN: Robust Test-Time Adaptation against Malicious Test Samples	Hyejin Park · Jeongyeon Hwang · Sunung Mun · Sangdon Park · Jungseul Ok	N/A	Code
Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion	Litu Rout · Yujia Chen · Abhishek Kumar · Constantine Caramanis · Sanjay Shakkottai · Wen-Sheng Chu	N/A	Code
KVQ: Kwai Video Quality Assessment for Short-form Videos	Yiting Lu · Xin Li · Yajing Pei · Kun Yuan · Qizhi Xie · Yunpeng Qu · Ming Sun · Chao Zhou · Zhibo Chen	N/A	Code
Purified and Unified Steganographic Network	GuoBiao Li · Sheng Li · Zicong Luo · Zhenxing Qian · Xinpeng Zhang	N/A	Code
Deformable One-shot Face Stylization via DINO Semantic Guidance	Yang Zhou · Zichong Chen · Hui Huang	N/A	Code
PartDistill: 3D Shape Part Segmentation by Vision-Language Model Distillation	Ardian Umam · Cheng-Kun Yang · Min-Hung Chen · Jen-Hui Chuang · Yen-Yu Lin	N/A	Code
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning	Yan-Shuo Liang · Wu-Jun Li	N/A	Code
Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer	Jiwoo Chung · Sangeek Hyun · Jae-Pil Heo	N/A	Code
Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning	Xinshun Wang · Zhongbin Fang · Xia Li · Xiangtai Li · Chen Chen · Mengyuan Liu	N/A	Code
Previously on ... From Recaps to Story Summarization	Aditya Kumar Singh · Dhruv Srivastava · Makarand Tapaswi	N/A	Code
VecFusion: Vector Font Generation with Diffusion	Vikas Thamizharasan · Difan Liu · Shantanu Agarwal · Matthew Fisher · Michaël Gharbi · Oliver Wang · Alec Jacobson · Evangelos Kalogerakis	N/A	Code
Generating Non-Stationary Textures using Self-Rectification	Yang Zhou · Rongjun Xiao · Dani Lischinski · Daniel Cohen-Or · Hui Huang	N/A	Code
OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising	Haichao Zhang · Yi Xu · Hongsheng Lu · Takayuki Shimizu · Yun Fu	N/A	Code
Frozen Feature Augmentation for Few-Shot Image Classification	Andreas Bär · Neil Houlsby · Mostafa Dehghani · Manoj Kumar	N/A	Code
1-Lipschitz Layers Compared: Memory Speed and Certifiable Robustness	Bernd Prach · Fabio Brau · Giorgio Buttazzo · Christoph Lampert	N/A	Code
VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models	Hyeonho Jeong · Geon Yeong Park · Jong Chul Ye	N/A	Code
Building Optimal Neural Architectures using Interpretable Knowledge	Keith Mills · Fred Han · Mohammad Salameh · Shengyao Lu · CHUNHUA ZHOU · Jiao He · Fengyu Sun · Di Niu	N/A	Code
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling	Xuzhe Zhang · Yuhao Wu · Elsa Angelini · Ang Li · Jia Guo · Jerod Rasmussen · Thomas O'Connor · Pathik Wadhwa · Andrea Jackowski · Hai Li · Jonathan Posner · Andrew Laine · YUN WANG	N/A	Code
Multimodal Industrial Anomaly Detection by Crossmodal Feature Mapping	Alex Costanzino · Pierluigi Zama Ramirez · Giuseppe Lisanti · Luigi Di Stefano	N/A	Code
PoNQ: a Neural QEM-based Mesh Representation	Nissim Maruani · Maks Ovsjanikov · Pierre Alliez · Mathieu Desbrun	N/A	Code
Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians	Yuelang Xu · Benwang Chen · Zhe Li · Hongwen Zhang · Lizhen Wang · Zerong Zheng · Yebin Liu	N/A	Code
Video Harmonization with Triplet Spatio-Temporal Variation Patterns	Zonghui Guo · XinYu Han · Jie Zhang · Shiguang Shan · Haiyong Zheng	N/A	Code
Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens	Zhiwen Chen · Zhiyu Zhu · Yifan Zhang · Junhui Hou · Guangming Shi · Jinjian Wu	N/A	Code
Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning	Da-Wei Zhou · Hai-Long Sun · Han-Jia Ye · De-Chuan Zhan	N/A	Code
Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels	Zhuohong Li · Wei He · Jiepan Li · Fangxiao Lu · Hongyan Zhang	N/A	Code
Towards Realistic Scene Generation with LiDAR Diffusion Models	Haoxi Ran · Vitor Guizilini · Yue Wang	N/A	Code
Exploring Orthogonality in Open World Object Detection	Zhicheng Sun · Jinghan Li · Yadong Mu	N/A	Code
Compositional Chain-of-Thought Prompting for Large Multimodal Models	Chancharik Mitra · Brandon Huang · Trevor Darrell · Roei Herzig	N/A	Code
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors	Seungwoo Yoo · Kunho Kim · Vladimir G. Kim · Minhyuk Sung	N/A	Code
3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow	Felix Taubner · Prashant Raina · Mathieu Tuli · Eu Wern Teh · Chul Lee · Jinmiao Huang	N/A	Code
HIT: Estimating Internal Human Implicit Tissues from the Body Surface	Marilyn Keller · Vaibhav ARORA · Abdelmouttaleb Dakri · Shivam Chandhok · Jürgen Machann · Andreas Fritsche · Michael J. Black · Sergi Pujades	N/A	Code
HMD-Poser: On-Device Real-time Human Motion Tracking from Scalable Sparse Observations	Peng Dai · Yang Zhang · Tao Liu · ZhenFan · Tianyuan Du · Zhuo Su · Xiaozheng Zheng · Zeming Li	N/A	Code
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios	Jie Xu · Yazhou Ren · Xiaolong Wang · Lei Feng · Zheng Zhang · Gang Niu · Xiaofeng Zhu	N/A	Code
Rethinking Interactive Image Segmentation with Low Latency High Quality and Diverse Prompts	Qin Liu · Jaemin Cho · Mohit Bansal · Marc Niethammer	N/A	Code
Multiscale Vision Transformers Meet Bipartite Matching for Efficient Single-stage Action Localization	Ioanna Ntinou · Enrique Sanchez · Georgios Tzimiropoulos	N/A	Code
SeMoLi: What Moves Together Belongs Together	Jenny Seidenschwarz · Aljoša Ošep · Francesco Ferroni · Simon Lucey · Laura Leal-Taixe	N/A	Code
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras	Ling Gao · Daniel Gehrig · Hang Su · Davide Scaramuzza · Laurent Kneip	N/A	Code
Instance-Aware Group Quantization for Vision Transformers	Jaehyeon Moon · Dohyung Kim · Jun Yong Cheon · Bumsub Ham	N/A	Code
Text-Driven Image Editing via Learnable Regions	Yuanze Lin · Yi-Wen Chen · Yi-Hsuan Tsai · Lu Jiang · Ming-Hsuan Yang	N/A	Code
ZERO-IG: Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images	Yiqi Shi · Duo Liu · Liguo Zhang · Ye Tian · Xuezhi Xia · fuxiaojing	N/A	Code
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection	Qiming Xia · Wei Ye · Hai Wu · Shijia Zhao · Leyuan Xing · Xun Huang · Jinhao Deng · Xin Li · Chenglu Wen · Cheng Wang	N/A	Code
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation	Minh-Tuan Tran · Trung Le · Xuan-May Le · Mehrtash Harandi · Quan Tran · Dinh Phung	N/A	Code
Domain-Specific Block Selection and Paired-View Pseudo-Labeling for Online Test-Time Adaptation	Yeonguk Yu · Sungho Shin · Seunghyeok Back · Minhwan Ko · Sangjun Noh · Kyoobin Lee	N/A	Code
Collaborating Foundation Models for Domain Generalized Semantic Segmentation	Yasser Benigmim · Subhankar Roy · Slim Essid · Vicky Kalogeiton · Stéphane Lathuilière	N/A	Code
Make-Your-Anchor: A Diffusion-based 2D Avatar Generation Framework	Ziyao Huang · Fan Tang · Yong Zhang · Xiaodong Cun · Juan Cao · Jintao Li · Tong-yee Lee	N/A	Code
NEAT: Distilling 3D Wireframes from Neural Attraction Fields	Nan Xue · Bin Tan · Yuxi Xiao · Liang Dong · Gui-Song Xia · Tianfu Wu · Yujun Shen	N/A	Code
LEDITS++: Limitless Image Editing using Text-to-Image Models	Manuel Brack · Felix Friedrich · Katharina Kornmeier · Linoy Tsaban · Patrick Schramowski · Kristian Kersting · Apolinário Passos	N/A	Code
Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes	Hmrishav Bandyopadhyay · Subhadeep Koley · Ayan Das · Ayan Kumar Bhunia · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
Emu Edit: Precise Image Editing via Recognition and Generation Tasks	Shelly Sheynin · Adam Polyak · Uriel Singer · Yuval Kirstain · Amit Zohar · Oron Ashual · Devi Parikh · Yaniv Taigman	N/A	Code
Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space	Naveen Kumar Kummari · Reshmi Mitra · Krishna Mohan Chalavadi	N/A	Code
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor	Jaewon Jung · Hongsun Jang · Jaeyong Song · Jinho Lee	N/A	Code
HIPTrack: Visual Tracking with Historical Prompts	Wenrui Cai · Qingjie Liu · Yunhong Wang	N/A	Code
FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance Head-pose and Facial Expression Features	Andre Rochow · Max Schwarz · Sven Behnke	N/A	Code
Situational Awareness Matters in 3D Vision Language Reasoning	Yunze Man · Liang-Yan Gui · Yu-Xiong Wang	N/A	Code
Generative Proxemics: A Prior for 3D Social Interaction from Images	Vickie Ye · Vickie Ye · Georgios Pavlakos · Michael J. Black · Angjoo Kanazawa	N/A	Code
The Neglected Tails in Vision-Language Models	Shubham Parashar · Tian Liu · Zhiqiu Lin · Xiangjue Dong · Yanan Li · James Caverlee · Deva Ramanan · Shu Kong	N/A	Code
Multi-View Attentive Contextualization for Multi-View 3D Object Detection	Xianpeng Liu · Ce Zheng · Ming Qian · Nan Xue · Chen Chen · Zhebin Zhang · Chen Li · Tianfu Wu	N/A	Code
Task-Driven Wavelets using Constrained Empirical Risk Minimization	Eric Marcus · Ray Sheombarsing · Jan-Jakob Sonke · Jonas Teuwen	N/A	Code
SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstruction	Zechuan Zhang · Zongxin Yang · Yi Yang	N/A	Code
Text-to-3D using Gaussian Splatting	Zilong Chen · Feng Wang · Yikai Wang · Huaping Liu	N/A	Code
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion	Jihyun Lee · Shunsuke Saito · Giljoo Nam · Minhyuk Sung · Tae-Kyun Kim	N/A	Code
Dysen-VDM: Empowering Dynamics-aware Text-to-Video Diffusion with LLMs	Hao Fei · Shengqiong Wu · Wei Ji · Hanwang Zhang · Tat-seng Chua	N/A	Code
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes	Alexandros Delitzas · Ayça Takmaz · Federico Tombari · Robert Sumner · Marc Pollefeys · Francis Engelmann	N/A	Code
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model	Song Tang · Wenxin Su · Mao Ye · Xiatian Zhu	N/A	Code
Utility-Fairness Trade-Offs and How to Find Them	Sepehr Dehdashtian · Bashir Sadeghi · Vishnu Naresh Boddeti	N/A	Code
MMA-Diffusion: MultiModal Attack on Diffusion Models	Yijun Yang · Ruiyuan Gao · Xiaosen Wang · Tsung-Yi Ho · Xu Nan · Qiang Xu	N/A	Code
Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal Alignment	Zheren Fu · Lei Zhang · Hou Xia · Zhendong Mao	N/A	Code
Grounding and Enhancing Grid-based Models for Neural Fields	Zelin Zhao · FENGLEI FAN · Wenlong Liao · Junchi Yan	N/A	Code
Fitting Flats to Flats	Gabriel Dogadov · Ugo Finnendahl · Marc Alexa	N/A	Code
Scaffold-GS: Structured 3D Gaussians for View-Adaptive Rendering	Tao Lu · Mulin Yu · Linning Xu · Yuanbo Xiangli · Limin Wang · Dahua Lin · Bo Dai	N/A	Code
Can Biases in ImageNet Models Explain Generalization?	Paul Gavrikov · Janis Keuper	N/A	Code
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes	David Rozenberszki · Or Litany · Angela Dai	N/A	Code
Boosting Flow-based Generative Super-Resolution Models via Learned Prior	Li-Yuan Tsao · Yi-Chen Lo · Chia-Che Chang · Hao-Wei Chen · Roy Tseng · Chien Feng · Chun-Yi Lee	N/A	Code
REACTO: Reconstructing Articulated Objects from a Single Video	Chaoyue Song · Jiacheng Wei · Chuan-Sheng Foo · Guosheng Lin · Fayao Liu	N/A	Code
Towards Robust Learning to Optimize with Theoretical Guarantees	Qingyu Song · Wei Lin · Juncheng Wang · Hong Xu	N/A	Code
Efficient Test-Time Adaptation of Vision-Language Models	Adilbek Karmanov · Dayan Guan · Shijian Lu · Abdulmotaleb El Saddik · Eric P. Xing	N/A	Code
Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification	Mei Vaish · Shunxin Wang · Nicola Strisciuglio	N/A	Code
Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations	Sangmin Lee · Bolin Lai · Fiona Ryan · Bikram Boote · James Rehg	N/A	Code
FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition	Sicheng Mo · Fangzhou Mu · Kuan Heng Lin · Yanli Liu · Bochen Guan · Yin Li · Bolei Zhou	N/A	Code
Cloud-Device Collaborative Learning for Multimodal Large Language Models	Guanqun Wang · Jiaming Liu · Chenxuan Li · Yuan Zhang · Ma Junpeng · Xinyu Wei · Kevin Zhang · Maurice Chong · Renrui Zhang · Yijiang Liu · Shanghang Zhang	N/A	Code
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning	Rashindrie Perera · Saman Halgamuge	N/A	Code
EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams	Christen Millerdurai · Hiroyasu Akada · Jian Wang · Diogo Luvizon · Christian Theobalt · Vladislav Golyanik	N/A	Code
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion	Pancheng Zhao · Peng Xu · Pengda Qin · Deng-Ping Fan · Zhicheng Zhang · Guoli Jia · Bowen Zhou · Jufeng Yang	N/A	Code
What Do You See in Vehicle? Comprehensive Vision Solution for In-Vehicle Gaze Estimation	Yihua Cheng · Yaning Zhu · Zongji Wang · hongquan hao · Liu wei · Shiqing Cheng · Xi Wang · Hyung Jin Chang	N/A	Code
HUGS: Human Gaussian Splats	Muhammed Kocabas · Jen-Hao Rick Chang · James Gabriel · Oncel Tuzel · Anurag Ranjan	N/A	Code
GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis	Shunyuan Zheng · Boyao ZHOU · Ruizhi Shao · Boning Liu · Shengping Zhang · Liqiang Nie · Yebin Liu	N/A	Code
WaveFace: Authentic Face Restoration with Efficient Frequency Recovery	Yunqi Miao · Jiankang Deng · Jungong Han	N/A	Code
MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding	Xu Cao · Tong Zhou · Yunsheng Ma · Wenqian Ye · Can Cui · Kun Tang · Zhipeng Cao · Kaizhao Liang · Ziran Wang · James Rehg · chao zheng	N/A	Code
Hierarchical Histogram Threshold Segmentation – Auto-terminating High-detail Oversegmentation	Thomas Chang · Simon Seibt · Bartosz von Rymon Lipinski	N/A	Code
G-FARS: Gradient-Field-based Auto-Regressive Sampling for 3D Part Grouping	Junfeng Cheng · Tania Stathaki	N/A	Code
Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformers	Zi-Xin Zou · Zhipeng Yu · Yuan-Chen Guo · Yangguang Li · Yan-Pei Cao · Ding Liang · Song-Hai Zhang	N/A	Code
LiDAR-based Person Re-identification	Wenxuan Guo · Zhiyu Pan · Yingping Liang · Ziheng Xi · Zhi Chen Zhong · Jianjiang Feng · Jie Zhou	N/A	Code
Do Vision and Language Encoders Represent the World Similarly?	Mayug Maniparambil · Raiymbek Akshulakov · YASSER ABDELAZIZ DAHOU DJILALI · Mohamed El Amine Seddik · Sanath Narayan · Karttikeya Mangalam · Noel O'Connor	N/A	Code
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark	Kunchang Li · Yali Wang · Yinan He · Yizhuo Li · Yi Wang · Yi Liu · Zun Wang · Jilan Xu · Guo Chen · Ping Luo · Limin Wang · Yu Qiao	N/A	Code
Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera	Jiye Lee · Hanbyul Joo	N/A	Code
Residual Denoising Diffusion Models	Jiawei Liu · Qiang Wang · Huijie Fan · Yinong Wang · Yandong Tang · Liangqiong Qu	N/A	Code
Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach	Guoqiang Liang · Kanghao Chen · Hangyu Li · Yunfan Lu · Addison, Lin Wang	N/A	Code
A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint	Xiaofeng Cong · Jie Gui · Jing Zhang · Junming Hou · Hao Shen	N/A	Code
AVID: Any-Length Video Inpainting with Diffusion Model	Zhixing Zhang · Bichen Wu · Xiaoyan Wang · Yaqiao Luo · Luxin Zhang · Yinan Zhao · Peter Vajda · Dimitris N. Metaxas · Licheng Yu	N/A	Code
Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers	Sanghyeok Lee · Joonmyung Choi · Hyunwoo J. Kim	N/A	Code
Emotional Speech-driven 3D Body Animation via Disentangled Latent Diffusion	Kiran Chhatre · Radek Danecek · Nikos Athanasiou · Giorgio Becherini · Christopher Peters · Michael J. Black · Timo Bolkart	N/A	Code
Deciphering ‘What’ and ‘Where’ Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations	Xiao Zhang · David Yunis · Michael Maire	N/A	Code
WaveMo: Learning Wavefront Modulations to See Through Scattering	Mingyang Xie · Haiyun Guo · Brandon Y. Feng · Lingbo Jin · Ashok Veeraraghavan · Christopher Metzler	N/A	Code
Optimal Transport Aggregation for Visual Place Recognition	Sergio Izquierdo · Javier Civera	N/A	Code
BANF: Band-Limited Neural Fields for Levels of Detail Reconstruction	Ahan Shabanov · Shrisudhan Govindarajan · Cody Reading · Leili Goli · Daniel Rebain · Kwang Moo Yi · Andrea Tagliasacchi	N/A	Code
StraightPCF: Straight Point Cloud Filtering	Dasith de Silva Edirimuni · Xuequan Lu · Gang Li · Lei Wei · Antonio Robles-Kelly · Hongdong Li	N/A	Code
NeRFiller: Completing Scenes via Generative 3D Inpainting	Ethan Weber · Aleksander Holynski · Varun Jampani · Saurabh Saxena · Noah Snavely · Abhishek Kar · Angjoo Kanazawa	N/A	Code
Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching	Xianqi Wang · Gangwei Xu · Hao Jia · Xin Yang	N/A	Code
Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training	Runze He · Shaofei Huang · Xuecheng Nie · Tianrui Hui · Luoqi Liu · Jiao Dai · Jizhong Han · Guanbin Li · Si Liu	N/A	Code
MPOD123: One Image to 3D Content Generation Using Mask-enhanced Progressive Outline-to-Detail Optimization	Jimin Xu · Tianbao Wang · Tao Jin · Shengyu Zhang · Dongjie Fu · Zhe Wang · Jiangjing Lyu · Chengfei Lv · Chaoyue Niu · Zhou Yu · Zhou Zhao · Fei Wu	N/A	Code
Slice3D: Multi-Slice Occlusion-Revealing Single View 3D Reconstruction	Yizhi Wang · Wallace Lira · Wenqi Wang · Ali Mahdavi Amiri · Hao Zhang	N/A	Code
EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models	Sijie Cheng · Zhicheng Guo · Jingwen Wu · Kechen Fang · Peng Li · Huaping Liu · Yang Liu	N/A	Code
Learning to Produce Semi-dense Correspondences for Visual Localization	Khang Truong Giang · Soohwan Song · Sungho Jo	N/A	Code
When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation	Xiaoming Li · Xinyu Hou · Chen Change Loy	N/A	Code
Differentiable Neural Surface Refinement for Modeling Transparent Objects	Weijian Deng · Dylan Campbell · Chunyi Sun · Shubham Kanitkar · Matthew Shaffer · Stephen Gould	N/A	Code
Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation	Wenhao Li · Mengyuan Liu · Hong Liu · Pichao Wang · Jialun Cai · Nicu Sebe	N/A	Code
Low-power Continuous Remote Behavioral Localization with Event Cameras	Friedhelm Hamann · Suman Ghosh · Ignacio Juarez Martinez · Tom Hart · Alex Kacelnik · Guillermo Gallego	N/A	Code
4D-DRESS: A 4D Dataset of Real-World Human Clothing With Semantic Annotations	Wenbo Wang · Hsuan-I Ho · Chen Guo · Boxiang Rong · Artur Grigorev · Jie Song · Juan Jose Zarate · Otmar Hilliges	N/A	Code
Attention-Propagation Network for Egocentric Heatmap to 3D Pose Lifting	Taeho Kang · Youngki Lee	N/A	Code
AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One	Mike Ranzinger · Greg Heinrich · Jan Kautz · Pavlo Molchanov	N/A	Code
Towards Co-Evaluation of Cameras HDR and Algorithms for Industrial-Grade 6DoF Pose Estimation	Agastya Kalra · Guy Stoppi · Dmitrii Marin · Vage Taamazyan · Aarrushi Shandilya · Rishav Agarwal · Anton Boykov · Aaron Chong · Michael Stark	N/A	Code
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning	Jianqing Zhang · Yang Liu · Yang Hua · Jian Cao	N/A	Code
Partial-to-Partial Shape Matching with Geometric Consistency	Viktoria Ehm · Maolin Gao · Paul Roetzer · Marvin Eisenberger · Daniel Cremers · Florian Bernard	N/A	Code
DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing	Kaiwen Zhang · Yifan Zhou · Xudong XU · Bo Dai · Xingang Pan	N/A	Code
PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs	Michael Dorkenwald · Nimrod Barazani · Cees G. M. Snoek · Yuki Asano	N/A	Code
RMT: Retentive Networks Meet Vision Transformers	Qihang Fan · Huaibo Huang · Mingrui Chen · Hongmin Liu · Ran He	N/A	Code
LAENeRF: Local Appearance Editing for Neural Radiance Fields	Lukas Radl · Michael Steiner · Andreas Kurz · Markus Steinberger	N/A	Code
Learning Multi-Dimensional Human Preference for Text-to-Image Generation	Sixian Zhang · Bohan Wang · Junqiang Wu · Yan Li · Tingting Gao · Di ZHANG · Zhongyuan Wang	N/A	Code
Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation	Philipp Schröppel · Christopher Wewer · Jan Lenssen · Eddy Ilg · Thomas Brox	N/A	Code
EarthLoc: Astronaut Photography Localization by Indexing Earth from Space	Gabriele Berton · Alex Stoken · Barbara Caputo · Carlo Masone	N/A	Code
Language Models as Black-Box Optimizers for Vision-Language Models	Shihong Liu · Samuel Yu · Zhiqiu Lin · Deepak Pathak · Deva Ramanan	N/A	Code
Improved Visual Grounding through Self-Consistent Explanations	Ruozhen He · Paola Cascante-Bonilla · Ziyan Yang · Alex Berg · Vicente Ordonez	N/A	Code
Relation Rectification in Diffusion Model	Yinwei Wu · Xingyi Yang · Xinchao Wang	N/A	Code
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft	Hao Li · Xue Yang · Zhaokai Wang · Xizhou Zhu · Jie Zhou · Yu Qiao · Xiaogang Wang · Hongsheng Li · Lewei Lu · Jifeng Dai	N/A	Code
Close Imitation of Expert Retouching for Black-and-White Photography	Seunghyun Shin · Jisu Shin · Jihwan Bae · Inwook Shim · Hae-Gon Jeon	N/A	Code
OmniLocalRF: Omnidirectional Local Radiance Fields from Dynamic Videos	Dongyoung Choi · Hyeonjoong Jang · Min H. Kim	N/A	Code
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model	Kai Yang · Jian Tao · Jiafei Lyu · Chunjiang Ge · Jiaxin Chen · Weihan Shen · Xiaolong Zhu · Xiu Li	N/A	Code
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation	Xinyao Li · Yuke Li · Zhekai Du · Fengling Li · Ke Lu · Jingjing Li	N/A	Code
Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration	Chen Zhao · Weiling Cai · Chenyu Dong · Chengwei Hu	N/A	Code
Transferable Structural Sparse Adversarial Attack Via Exact Group Sparsity Training	Di Ming · Peng Ren · Yunlong Wang · Xin Feng	N/A	Code
XFeat: Accelerated Features for Lightweight Image Matching	Guilherme Potje · Felipe Cadar · André Araujo · Renato Martins · Erickson R. Nascimento	N/A	Code
OneFormer3D: One Transformer for Unified Point Cloud Segmentation	Maksim Kolodiazhnyi · Anna Vorontsova · Anton Konushin · Danila Rukhovich	N/A	Code
DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis	Jiapeng Tang · Yinyu Nie · Lev Markhasin · Angela Dai · Justus Thies · Matthias Nießner	N/A	Code
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection	Junbo Yin · Wenguan Wang · Runnan Chen · Wei Li · Ruigang Yang · Pascal Frossard · Jianbing Shen	N/A	Code
One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion	Minghua Liu · Ruoxi Shi · Linghao Chen · Zhuoyang Zhang · Chao Xu · Xinyue Wei · Hansheng Chen · Chong Zeng · Jiayuan Gu · Hao Su	N/A	Code
One-Shot Structure-Aware Stylized Image Synthesis	Hansam Cho · Jonghyun Lee · Seunggyu Chang · Yonghyun Jeong	N/A	Code
ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering	Haokai Pang · Heming Zhu · Adam Kortylewski · Christian Theobalt · Marc Habermann	N/A	Code
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On	Jeongho Kim · Gyojung Gu · Minho Park · Sunghyun Park · Jaegul Choo	N/A	Code
Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning	Nikhil Singh · Chih-Wei Wu · Iroro Orife · Kalayeh	N/A	Code
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training	Pavan Kumar Anasosalu Vasu · Hadi Pouransari · Fartash Faghri · Raviteja Vemulapalli · Oncel Tuzel	N/A	Code
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis	Pavlo Melnyk · Andreas Robinson · Michael Felsberg · Mårten Wadenbäck	N/A	Code
WHAM: Reconstructing World-grounded Humans with Accurate 3D Motion	Soyong Shin · Juyong Kim · Eni Halilaj · Michael J. Black	N/A	Code
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding	Shuhuai Ren · Linli Yao · Shicheng Li · Xu Sun · Lu Hou	N/A	Code
3D Neural Edge Reconstruction	Lei Li · Songyou Peng · Zehao Yu · Shaohui Liu · Rémi Pautrat · Xiaochuan Yin · Marc Pollefeys	N/A	Code
YOLO-World: Real-Time Open-Vocabulary Object Detection	Tianheng Cheng · Lin Song · Yixiao Ge · Wenyu Liu · Xinggang Wang · Ying Shan	N/A	Code
Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion	Yuanxun Lu · Jingyang Zhang · Shiwei Li · Tian Fang · David McKinnon · Yanghai Tsin · Long Quan · Xun Cao · Yao Yao	N/A	Code
Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains	Eunsu Baek · Keondo Park · Ji-yoon Kim · Hyung-Sin Kim	N/A	Code
CLOAF: CoLlisiOn-Aware Human Flow	Andrey Davydov · Martin Engilberge · Mathieu Salzmann · Pascal Fua	N/A	Code
FedUV: Uniformity and Variance for Heterogeneous Federated Learning	Ha Min Son · Moon-Hyun Kim · Tai-Myoung Chung · Chao Huang · Xin Liu	N/A	Code
Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes	Ziqian Bai · Feitong Tan · Sean Fanello · Rohit Pandey · Mingsong Dou · Shichen Liu · Ping Tan · Yinda Zhang	N/A	Code
Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions	Namitha Padmanabhan · Matthew A Gwilliam · Pulkit Kumar · Shishira R Maiya · Max Ehrlich · Abhinav Shrivastava	N/A	Code
Learning Correlation Structures for Vision Transformers	Manjin Kim · Paul Hongsuck Seo · Cordelia Schmid · Minsu Cho	N/A	Code
Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes	Diandian Guo · Deng-Ping Fan · Tongyu Lu · Christos Sakaridis · Luc Van Gool	N/A	Code
DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars	Tobias Kirschstein · Simon Giebenhain · Matthias Nießner	N/A	Code
Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation	Shanshan Zhong · Zhongzhan Huang · Shanghua Gao · Wushao Wen · Liang Lin · Marinka Zitnik · Pan Zhou	N/A	Code
LightIt: Illumination Modeling and Control for Diffusion Models	Peter Kocsis · Kalyan Sunkavalli · Julien Philip · Matthias Nießner · Yannick Hold-Geoffroy	N/A	Code
Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow	Hanyu Zhou · Yi Chang · Zhiwei Shi	N/A	Code
Language-driven Grasp Detection	An Dinh Vuong · Minh Nhat VU · Baoru Huang · Nghia Nguyen · Hieu Le · Thieu Vo · Anh Nguyen	N/A	Code
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation	Ziyang Chen · Yongsheng Pan · Yiwen Ye · Mengkang Lu · Yong Xia	N/A	Code
SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting	Zhijing Shao · Wang Zhaolong · Zhuang Li · Duotun Wang · Xiangru Lin · Yu Zhang · Mingming Fan · Zeyu Wang	N/A	Code
AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings	Jamie Watson · Filippo Aleotti · Mohamed Sayed · Zawar Qureshi · Oisin Mac Aodha · Gabriel J. Brostow · Michael Firman · Sara Vicente	N/A	Code
Instance-based Max-margin for Practical Few-shot Recognition	Minghao Fu · Ke Zhu	N/A	Code
GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians	Liangxiao Hu · Hongwen Zhang · Yuxiang Zhang · Boyao ZHOU · Boning Liu · Shengping Zhang · Liqiang Nie	N/A	Code
SVDTree: Semantic Voxel Diffusion for Single Image Tree Reconstruction	Yuan Li · Zhihao Liu · Bedrich Benes · Xiaopeng Zhang · Jianwei Guo	N/A	Code
Abductive Ego-View Accident Video Understanding for Safe Driving Perception	Jianwu Fang · Lei-lei Li · Junfei Zhou · Junbin Xiao · Hongkai Yu · Chen Lv · Jianru Xue · Tat-seng Chua	N/A	Code
Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis	Yang Yu · Erting Pan · Xinya Wang · Yuheng Wu · Xiaoguang Mei · Jiayi Ma	N/A	Code
KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation	Fengyuan Yang · Kerui Gu · Angela Yao	N/A	Code
Optimizing Diffusion Noise Can Serve As Universal Motion Priors	Korrawe Karunratanakul · Konpat Preechakul · Emre Aksan · Thabo Beeler · Supasorn Suwajanakorn · Siyu Tang	N/A	Code
Robust Self-calibration of Focal Lengths from the Fundamental Matrix	Viktor Kocur · Daniel Kyselica · Zuzana Kukelova	N/A	Code
FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition	Ganggui Ding · Canyu Zhao · Wen Wang · Zhen Yang · Zide Liu · Hao Chen · Chunhua Shen	N/A	Code
Generative Unlearning for Any Identity	Juwon Seo · Sung-Hoon Lee · Tae-Young Lee · SeungJun Moon · Gyeong-Moon Park	N/A	Code
Learning to Control Camera Exposure via Reinforcement Learning	Kyunghyun Lee · Ukcheol Shin · Byeong-Uk Lee	N/A	Code
Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds	Heejoon Moon · Chunghwan Lee · Je Hyeong Hong	N/A	Code
Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition	Zihan Wang · Siyang Song · Cheng Luo · Songhe Deng · Weicheng Xie · Linlin Shen	N/A	Code
Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting	Zijie Chen · Lichao Zhang · Fangsheng Weng · Lili Pan · ZHENZHONG Lan	N/A	Code
Text-Conditioned Generative Model of 3D Strand-based Human Hairstyles	Vanessa Sklyarova · Egor Zakharov · Otmar Hilliges · Michael J. Black · Justus Thies	N/A	Code
SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective	Yu-Bang Zheng · Xile Zhao · Junhua Zeng · Chao Li · Qibin Zhao · Heng-Chao Li · Ting-Zhu Huang	N/A	Code
Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection	Ting Lei · Shaofeng Yin · Yang Liu	N/A	Code
CustomListener: Text-guided Responsive Interaction for User-friendly Listening Head Generation	Xi Liu · Ying Guo · Cheng Zhen · Tong Li · Yingying Ao · Pengfei Yan	N/A	Code
Brain Decodes Deep Nets	Huzheng Yang · James Gee · Jianbo Shi	N/A	Code
Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension	Quan Liu · Hongzi Zhu · Zhenxi Wang · Yunsong Zhou · Shan Chang · Minyi Guo	N/A	Code
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI	Sean I. Young · Yaël Balbastre · Bruce Fischl · Polina Golland · Juan Iglesias	N/A	Code
DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation	Yifei Li · Hsiaoyu Chen · Egor Larionov · Nikolaos Sarafianos · Wojciech Matusik · Tuur Stuyck	N/A	Code
LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes	Shanlin Sun · Bingbing Zhuang · Ziyu Jiang · Buyu Liu · Xiaohui Xie · Manmohan Chandraker	N/A	Code
3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces	Linyi Jin · Nilesh Kulkarni · David Fouhey	N/A	Code
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting	Haipeng Liu · Yang Wang · Biao Qian · Meng Wang · Yong Rui	N/A	Code
Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships	Rangel Daroya · Aaron Sun · Subhransu Maji	N/A	Code
DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling	Miguel Fainstein · Viviana Siless · Emmanuel Iarussi	N/A	Code
RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation	Oded Bialer · Yuval Haitman	N/A	Code
Mip-Splatting: Alias-free 3D Gaussian Splatting	Zehao Yu · Anpei Chen · Binbin Huang · Torsten Sattler · Andreas Geiger	N/A	Code
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers	Sheng Yang · Jiawang Bai · Kuofeng Gao · Yong Yang · Yiming Li · Shu-Tao Xia	N/A	Code
Text2QR: Harmonizing Aesthetic Customization and Scanning Robustness for Text-Guided QR Code Generation	Guangyang Wu · Xiaohong Liu · Jun Jia · Xuehao Cui · Guangtao Zhai	N/A	Code
DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model	Zhenghao Pan · Haijin Zeng · Jiezhang Cao · Kai Zhang · Yongyong Chen	N/A	Code
SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos	Changan Chen · Kumar Ashutosh · Rohit Girdhar · David Harwath · Kristen Grauman	N/A	Code
SelfPose3d: Self-Supervised Multi-Person Multi-View 3d Pose Estimation	Keqi Chen · vinkle srivastav · Nicolas Padoy	N/A	Code
Context-Aware Integration of Language and Visual References for Natural Language Tracking	Yanyan Shao · Shuting He · Qi Ye · Yuchao Feng · Wenhan Luo · Jiming Chen	N/A	Code
Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling	Liwen Wu · Sai Bi · Zexiang Xu · Fujun Luan · Kai Zhang · Iliyan Georgiev · Kalyan Sunkavalli · Ravi Ramamoorthi	N/A	Code
FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models	Jinglin Xu · Yijie Guo · Yuxin Peng	N/A	Code
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts	Cansu Korkmaz · Ahmet Murat Tekalp · Zafer Dogan	N/A	Code
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation	Mi Yan · Jiazhao Zhang · Yan Zhu · He Wang	N/A	Code
SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection	Gang Zhang · Chen Junnan · Guohuan Gao · Jianmin Li · Si Liu · Xiaolin Hu	N/A	Code
MemoNav: Working Memory Model for Visual Navigation	Hongxin Li · Zeyu Wang · Xu Yang · yuran Yang · Shuqi Mei · Zhaoxiang Zhang	N/A	Code
RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception	Ruiyang Hao · Siqi Fan · Yingru Dai · Zhenlin Zhang · Chenxi Li · YuntianWang · Haibao Yu · Wenxian Yang · Jirui Yuan · Zaiqing Nie	N/A	Code
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding	Le Xue · Ning Yu · Shu Zhang · Artemis Panagopoulou · Junnan Li · Roberto Martín-Martín · Jiajun Wu · Caiming Xiong · Ran Xu · Juan Carlos Niebles · Silvio Savarese	N/A	Code
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking	Xiaojun Hou · Jiazheng Xing · Yijie Qian · Yaowei Guo · Shuo Xin · Junhao Chen · Kai Tang · Mengmeng Wang · Zhengkai Jiang · Liang Liu · Yong Liu	N/A	Code
Towards Language-Driven Video Inpainting via Multimodal Large Language Models	Jianzong Wu · Xiangtai Li · Chenyang Si · Shangchen Zhou · Jingkang Yang · Jiangning Zhang · Yining Li · Kai Chen · Yunhai Tong · Ziwei Liu · Chen Change Loy	N/A	Code
Convolutional Prompting meets Language Models for Continual Learning	Anurag Roy · Riddhiman Moulick · Vinay Verma · Saptarshi Ghosh · Abir Das	N/A	Code
Multiview Aerial Visual RECognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?	Aritra Dutta · Srijan Das · Jacob Nielsen · RAJATSUBHRA CHAKRABORTY · Mubarak Shah	N/A	Code
SchurVINS: Schur Complement-Based Lightweight Visual Inertial Navigation System	Yunfei Fan · Tianyu Zhao · Guidong Wang	N/A	Code
MACE: Mass Concept Erasure in Diffusion Models	Shilin Lu · Zilan Wang · Leyang Li · Yanzhu Liu · Adams Wai-Kin Kong	N/A	Code
JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients	Woo Kyoung Han · Sunghoon Im · Jaedeok Kim · Kyong Hwan Jin	N/A	Code
Revisiting Adversarial Training Under Long-Tailed Distributions	Xinli Yue · Ningping Mou · Qian Wang · Lingchen Zhao	N/A	Code
Plug-and-Play Diffusion Distillation	Yi-Ting Hsiao · Siavash Khodadadeh · Kevin Duarte · Wei-An Lin · Hui Qu · Mingi Kwon · Ratheesh Kalarot	N/A	Code
Polos: Multimodal Metric Learning from Human Feedback for Image Captioning	Yuiga Wada · Kanta Kaneda · Daichi Saito · Komei Sugiura	N/A	Code
LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry	Weirong Chen · Le Chen · Rui Wang · Marc Pollefeys	N/A	Code
DEADiff: An Efficient Stylization Diffusion Model with Disentangled Representations	Tianhao Qi · Shancheng Fang · Yanze Wu · Hongtao Xie · Jiawei Liu · Lang chen · Qian HE · Yongdong Zhang	N/A	Code
AvatarGPT: All-in-One Framework for Motion Understanding Planning Generation and Beyond	Zixiang Zhou · Yu Wan · Baoyuan Wang	N/A	Code
Aerial Lifting: Neural Urban Semantic and Building Instance Lifting from Aerial Imagery	Yuqi Zhang · Guanying Chen · Jiaxing Chen · Shuguang Cui	N/A	Code
Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples	Yuyang Yu · Bangzhen Liu · Chenxi Zheng · Xuemiao Xu · Huaidong Zhang · Shengfeng He	N/A	Code
ProxyCap: Real-time Monocular Full-body Capture in World Space via Human-Centric Proxy-to-Motion Learning	Yuxiang Zhang · Hongwen Zhang · Liangxiao Hu · Jiajun Zhang · Hongwei Yi · Shengping Zhang · Yebin Liu	N/A	Code
Learning from Synthetic Human Group Activities	Che-Jui Chang · Danrui Li · Deep Patel · Parth Goel · Seonghyeon Moon · Samuel Sohn · Honglu Zhou · Sejong Yoon · Vladimir Pavlovic · Mubbasir Kapadia	N/A	Code
Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations	Daan de Geus · Gijs Dubbelman	N/A	Code
Unsupervised 3D Structure Inference from Category-Specific Image Collections	Weikang Wang · Dongliang Cao · Florian Bernard	N/A	Code
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields	Joshua Ahn · Haochen Wang · Raymond A. Yeh · Greg Shakhnarovich	N/A	Code
ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention	Jiawei Wang · Changjian Li	N/A	Code
Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering	Jiawei Yao · Qi Qian · Juhua Hu	N/A	Code
Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding	Le Zhang · Rabiul Awal · Aishwarya Agrawal	N/A	Code
Edit One for All: Interactive Batch Image Editing	Thao Nguyen · Utkarsh Ojha · Yuheng Li · Haotian Liu · Yong Jae Lee	N/A	Code
DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models	Yukang Cao · Yan-Pei Cao · Kai Han · Ying Shan · Kwan-Yee K. Wong	N/A	Code
Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance	Junkai Fan · Jiangwei Weng · Kun Wang · Yijun Yang · Jianjun Qian · Jun Li · Jian Yang	N/A	Code
Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers	Zhibo Yang · Sounak Mondal · Seoyoung Ahn · Ruoyu Xue · Gregory Zelinsky · Minh Hoai · Dimitris Samaras	N/A	Code
SAI3D: Segment Any Instance in 3D Scenes	Yingda Yin · Yuzheng Liu · Yang Xiao · Daniel Cohen-Or · Jingwei Huang · Baoquan Chen	N/A	Code
Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Features	Niladri Shekhar Dutt · Sanjeev Muralikrishnan · Niloy J. Mitra	N/A	Code
Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching	Matteo Bastico · Etienne Decencière · Laurent Corté · Yannick TILLIER · David Ryckelynck	N/A	Code
Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness	Sibo Wang · Jie Zhang · Zheng Yuan · Shiguang Shan	N/A	Code
MART: Masked Affective RepresenTation Learning via Masked Temporal Distribution Distillation	Zhicheng Zhang · Pancheng Zhao · Eunil Park · Jufeng Yang	N/A	Code
Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis	Yanzuo Lu · Manlin Zhang · Jinhua Ma · Xiaohua Xie · Jianhuang Lai	N/A	Code
ICP-Flow: LiDAR Scene Flow Estimation with ICP	Yancong Lin · Holger Caesar	N/A	Code
Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM	Tongyan Hua · Addison, Lin Wang	N/A	Code
DeepCache: Accelerating Diffusion Models for Free	Xinyin Ma · Gongfan Fang · Xinchao Wang	N/A	Code
The Devil is in the Fine-Grained Details: Evaluating Open-Vocabulary Object Detectors for Fine-Grained Understanding	Lorenzo Bianchi · Fabio Carrara · Nicola Messina · Claudio Gennaro · Fabrizio Falchi	N/A	Code
CAT: Exploiting Inter-Class Dynamics for Domain Adaptive Object Detection	Mikhail Kennerley · Jian-Gang Wang · Bharadwaj Veeravalli · Robby T. Tan	N/A	Code
Semantic Human Mesh Reconstruction with Textures	xiaoyu zhan · Jianxin Yang · Yuanqi Li · Jie Guo · Yanwen Guo · Wenping Wang	N/A	Code
CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoor Object Detection from Multi-view Images	Guanlin Shen · Jingwei Huang · Zhihua Hu · Bin Wang	N/A	Code
Neural Clustering based Visual Representation Learning	Guikun Chen · Xia Li · Yi Yang · Wenguan Wang	N/A	Code
ViVid-1-to-3: Novel View Synthesis with Video Diffusion Models	Jeong-gi Kwak · Erqun Dong · Yuhe Jin · Hanseok Ko · Shweta Mahajan · Kwang Moo Yi	N/A	Code
BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation	Yunhao Ge · Yihe Tang · Jiashu Xu · Cem Gokmen · Chengshu Li · Wensi Ai · Benjamin Martinez · Arman Aydin · Mona Anvari · Ayush Chakravarthy · Hong-Xing Yu · Josiah Wong · Sanjana Srivastava · Sharon Lee · Shengxin Zha · Laurent Itti · Yunzhu Li · Roberto Martín-Martín · Miao Liu · Pengchuan Zhang · Ruohan Zhang · Li Fei-Fei · Jiajun Wu	N/A	Code
CapHuman: Capture Your Moments in Parallel Universes	Chao Liang · Fan Ma · Linchao Zhu · Yingying Deng · Yi Yang	N/A	Code
NeRF Director: Revisiting View Selection in Neural Volume Rendering	Wenhui Xiao · Rodrigo Santa Cruz · David Ahmedt-Aristizabal · Olivier Salvado · Clinton Fookes · Leo Lebrat	N/A	Code
MANUS: Markerless Grasp Capture using Articulated 3D Gaussians	Chandradeep Pokhariya · Ishaan Shah · Angela Xing · Zekun Li · Kefan Chen · Avinash Sharma · Srinath Sridhar	N/A	Code
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling	Sherwin Bahmani · Ivan Skorokhodov · Victor Rong · Gordon Wetzstein · Leonidas Guibas · Peter Wonka · Sergey Tulyakov · Jeong Joon Park · Andrea Tagliasacchi · David B. Lindell	N/A	Code
VS: Reconstructing Clothed 3D Human from Single Image via Vertex Shift	Leyuan Liu · Yuhan Li · Yunqi Gao · Changxin Gao · Yuanyuan Liu · Jingying Chen	N/A	Code
En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data	Yifang Men · Biwen Lei · Yuan Yao · Miaomiao Cui · Zhouhui Lian · Xuansong Xie	N/A	Code
Diversified and Personalized Multi-rater Medical Image Segmentation	Yicheng Wu · Xiangde Luo · Zhe Xu · Xiaoqing Guo · Lie Ju · Zongyuan Ge · Wenjun Liao · Jianfei Cai	N/A	Code
vid-TLDR: Training Free Token Merging for Light-weight Video Transformer	Joonmyung Choi · Sanghyeok Lee · Jaewon Chu · Minhyuk Choi · Hyunwoo J. Kim	N/A	Code
Point Transformer V3: Simpler Faster Stronger	Xiaoyang Wu · Li Jiang · Peng-Shuai Wang · Zhijian Liu · Xihui Liu · Yu Qiao · Wanli Ouyang · Tong He · Hengshuang Zhao	N/A	Code
Depth-Aware Concealed Crop Detection in Dense Agricultural Scenes	Liqiong Wang · Jinyu Yang · Yanfu Zhang · Fangyi Wang · Feng Zheng	N/A	Code
DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models	Khawar Islam · Muhammad Zaigham Zaheer · Arif Mahmood · Karthik Nandakumar	N/A	Code
MoMask: Generative Masked Modeling of 3D Human Motions	chuan guo · Yuxuan Mu · Muhammad Gohar Javed · Sen Wang · Li Cheng	N/A	Code
MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception	Yiran Qin · Enshen Zhou · Qichang Liu · Zhenfei Yin · Lu Sheng · Ruimao Zhang · Yu Qiao · Jing Shao	N/A	Code
Initialization Matters for Adversarial Transfer Learning	Andong Hua · Jindong Gu · Zhiyu Xue · Nicholas Carlini · Eric Wong · Yao Qin	N/A	Code
Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements	Niccolò Biondi · Federico Pernici · Simone Ricci · Alberto Del Bimbo	N/A	Code
Gaussian Shadow Casting for Neural Characters	Luis Bolanos · Shih-Yang Su · Helge Rhodin	N/A	Code
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences	Seungwook Kim · Kejie Li · Xueqing Deng · Yichun Shi · Minsu Cho · Peng Wang	N/A	Code
BigGait: Learning Gait Representation You Want by Large Vision Models	Dingqiang Ye · Chao Fan · Jingzhe Ma · Xiaoming Liu · Shiqi Yu	N/A	Code
Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval	Haochen Han · Qinghua Zheng · Guang Dai · Minnan Luo · Jingdong Wang	N/A	Code
Language-Driven Anchors for Zero-Shot Adversarial Robustness	Xiao Li · Wei Zhang · Yining Liu · Zhanhao Hu · Bo Zhang · Xiaolin Hu	N/A	Code
Gaussian Shell Maps for Efficient 3D Human Generation	Rameen Abdal · Wang Yifan · Zifan Shi · Yinghao Xu · Ryan Po · Zhengfei Kuang · Qifeng Chen · Dit-Yan Yeung · Gordon Wetzstein	N/A	Code
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments	Liyuan Zhu · Shengyu Huang · Konrad Schindler · Iro Armeni	N/A	Code
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition	Kyle Buettner · Sina Malakouti · Xiang Li · Adriana Kovashka	N/A	Code
MindBridge: A Cross-Subject Brain Decoding Framework	Shizun Wang · Songhua Liu · Zhenxiong Tan · Xinchao Wang	N/A	Code
State Space Models for Event Cameras	Nikola Zubic · Mathias Gehrig · Davide Scaramuzza	N/A	Code
TIM: A Time Interval Machine for Audio-Visual Action Recognition	Jacob Chalk · Jaesung Huh · Evangelos Kazakos · Andrew Zisserman · Dima Damen	N/A	Code
READ: Retrieval-Enhanced Asymmetric Diffusion for Motion Planning	Takeru Oba · Matthew Walter · Norimichi Ukita	N/A	Code
MeshPose: Unifying DensePose and 3D Body Mesh Reconstruction	Eric-Tuan Le · Antonios Kakolyris · Petros Koutras · Himmy Tam · Efstratios Skordos · George Papandreou · Riza Alp Guler · Iasonas Kokkinos	N/A	Code
AV2AV: Direct Audio-Visual Speech to Audio-Visual Speech Translation with Unified Audio-Visual Speech Representation	Jeongsoo Choi · Se Jin Park · Minsu Kim · Yong Man Ro	N/A	Code
Matching Anything by Segmenting Anything	Siyuan Li · Lei Ke · Martin Danelljan · Luigi Piccinelli · Mattia Segu · Luc Van Gool · Fisher Yu	N/A	Code
MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models	Sanjoy Chowdhury · Sayan Nag · Joseph K J · Balaji Vasan Srinivasan · Dinesh Manocha	N/A	Code
Narrative Action Evaluation with Prompt-Guided Multimodal Interaction	Shiyi Zhang · Sule Bai · Guangyi Chen · Lei Chen · Jiwen Lu · Junle Wang · Yansong Tang	N/A	Code
MemSAM: Taming Segment Anything Model for Echocardiography Video Segmentation	Xiaolong Deng · Huisi Wu · Runhao Zeng · Jing Qin	N/A	Code
SCEdit: Efficient and Controllable Image Diffusion Generation via Skip Connection Editing	Zeyinzi Jiang · Chaojie Mao · Yulin Pan · Zhen Han · Jingfeng Zhang	N/A	Code
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts	Mu Cai · Haotian Liu · Siva Mustikovela · Gregory P. Meyer · Yuning Chai · Dennis Park · Yong Jae Lee	N/A	Code
LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example	Soyeon Yoon · Kwan Yun · Kwanggyoon Seo · Sihun Cha · Jung Eun Yoo · Junyong Noh	N/A	Code
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers	Tsai-Shien Chen · Aliaksandr Siarohin · Willi Menapace · Ekaterina Deyneka · Hsiang-wei Chao · Byung Jeon · Yuwei Fang · Hsin-Ying Lee · Jian Ren · Ming-Hsuan Yang · Sergey Tulyakov	N/A	Code
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action	Jiasen Lu · Christopher Clark · Sangho Lee · Zichen Zhang · Savya Khosla · Ryan Marten · Derek Hoiem · Aniruddha Kembhavi	N/A	Code
Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling	Leon Sick · Dominik Engel · Pedro Hermosilla · Timo Ropinski	N/A	Code
HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models	Mengcheng Li · Hongwen Zhang · Yuxiang Zhang · Ruizhi Shao · Tao Yu · Yebin Liu	N/A	Code
Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling	Baoquan Zhang · Huaibin Wang · Luo Chuyao · Xutao Li · Guotao liang · Yunming Ye · joeq · Yao He	N/A	Code
Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships	Sebastian Koch · Narunas Vaskevicius · Mirco Colosi · Pedro Hermosilla · Timo Ropinski	N/A	Code
ChatPose: Chatting about 3D Human Pose	Yao Feng · Jing Lin · Sai Kumar Dwivedi · Yu Sun · Priyanka Patel · Michael J. Black	N/A	Code
Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention	Ju-Hyeon Nam · Nur Suriza Syazwany · Su Jung Kim · Sang-Chul Lee	N/A	Code
Improved Baselines with Visual Instruction Tuning	Haotian Liu · Chunyuan Li · Yuheng Li · Yong Jae Lee	N/A	Code
DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks	Jiaxin Zhang · Dezhi Peng · Chongyu Liu · Peirong Zhang · Lianwen Jin	N/A	Code
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View Synthesis	Yuming Gu · Hongyi Xu · You Xie · Guoxian Song · Yichun Shi · Di Chang · Jing Yang · Linjie Luo	N/A	Code
Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes	Gaurav Shrivastava · Abhinav Shrivastava	N/A	Code
MoST: Motion Style Transformer Between Diverse Action Contents	Boeun Kim · Jungho Kim · Hyung Jin Chang · Jin Young Choi	N/A	Code
Rotation-Agnostic Image Representation Learning for Digital Pathology	Saghir Alfasly · Abubakr Shafique · Peyman Nejat · Jibran Khan · Areej Alsaafin · Ghazal Alabtah · Hamid Tizhoosh	N/A	Code
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation	Lior Talker · Aviad Cohen · Erez Yosef · Alexandra Dana · Michael Dinerstein	N/A	Code
Generating Human Motion in 3D Scenes from Text Descriptions	Zhi Cen · Huaijin Pi · Sida Peng · Zehong Shen · Minghui Yang · Shuai Zhu · Hujun Bao · Xiaowei Zhou	N/A	Code
Visual Point Cloud Forecasting enables Scalable Autonomous Driving	Zetong Yang · Li Chen · Yanan Sun · Hongyang Li	N/A	Code
MaGGIe: Masked Guided Gradual Human Instance Matting	Chuong Huynh · Seoung Wug Oh · Abhinav Shrivastava · Joon-Young Lee	N/A	Code
Grid Diffusion Models for Text-to-Video Generation	Taegyeong Lee · Soyeong Kwon · Taehwan Kim	N/A	Code
Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction	Devikalyan Das · Christopher Wewer · Raza Yunus · Eddy Ilg · Jan Lenssen	N/A	Code
Making Vision Transformers Truly Shift-Equivariant	Renan A. Rojas-Gomez · Teck-Yian Lim · Minh Do · Raymond A. Yeh	N/A	Code
DreamVideo: Composing Your Dream Videos with Customized Subject and Motion	Yujie Wei · Shiwei Zhang · Zhiwu Qing · Hangjie Yuan · Zhiheng Liu · Yu Liu · Yingya Zhang · Jingren Zhou · Hongming Shan	N/A	Code
Posterior Distillation Sampling	Juil Koo · Chanho Park · Minhyuk Sung	N/A	Code
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses	bedrettin cetinkaya · Sinan Kalkan · Emre Akbas	N/A	Code
Free3D: Consistent Novel View Synthesis without 3D Representation	Chuanxia Zheng · Andrea Vedaldi	N/A	Code
Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior	Fangfu Liu · Diankun Wu · Yi Wei · Yongming Rao · Yueqi Duan	N/A	Code
HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation	Xin Huang · Ruizhi Shao · Qi Zhang · Hongwen Zhang · Ying Feng · Yebin Liu · Qing Wang	N/A	Code
Generalized Event Cameras	Varun Sundar · Matthew Dutson · Andrei Ardelean · Claudio Bruschini · Edoardo Charbon · Mohit Gupta	N/A	Code
BEVSpread: Spread Voxel Pooling for Bird’s-Eye-View Representation in Vision-based Roadside 3D Object Detection	Wenjie Wang · Yehao Lu · Guangcong Zheng · Shuigenzhan · Xiaoqing Ye · Zichang Tan · Jingdong Wang · Gaoang Wang · Xi Li	N/A	Code
GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement	Linfang Zheng · Tze Ho Elden Tse · Chen Wang · Yinghan Sun · Hua Chen · Aleš Leonardis · Wei Zhang · Hyung Jin Chang	N/A	Code
Unbiased Estimator for Distorted Conics in Camera Calibration	Chaehyeon Song · Jaeho Shin · Myung-Hwan Jeon · Jongwoo Lim · Ayoung Kim	N/A	Code
Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer	Zhen Zhao · Jingqun Tang · Chunhui Lin · Binghong Wu · Can Huang · Hao Liu · Xin Tan · Zhizhong Zhang · Yuan Xie	N/A	Code
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation	Vikas Thamizharasan · Difan Liu · Matthew Fisher · Nanxuan Zhao · Evangelos Kalogerakis · Michal Lukáč	N/A	Code
FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation	Shuai Yang · Yifan Zhou · Ziwei Liu · Chen Change Loy	N/A	Code
HOLD: Category-agnostic 3D Reconstruction of Interacting Hands and Objects from Video	Zicong Fan · Maria Parelli · Maria Kadoglou · Xu Chen · Muhammed Kocabas · Michael J. Black · Otmar Hilliges	N/A	Code
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution	Zhixuan Liang · Yao Mu · Hengbo Ma · Masayoshi Tomizuka · Mingyu Ding · Ping Luo	N/A	Code
Learning to Count without Annotations	Lukas Knobel · Tengda Han · Yuki Asano	N/A	Code
RoDLA: Benchmarking the Robustness of Document Layout Analysis Models	Yufan Chen · Jiaming Zhang · Kunyu Peng · Junwei Zheng · Ruiping Liu · Philip H.S. Torr · Rainer Stiefelhagen	N/A	Code
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos	Mehmet Saygin Seyfioglu · Wisdom Ikezogwo · Fatemeh Ghezloo · Ranjay Krishna · Linda Shapiro	N/A	Code
Diffusion-FOF: Single-View Clothed Human Reconstruction via Diffusion-Based Fourier Occupancy Field	Yuanzhen Li · Fei LUO · Chunxia Xiao	N/A	Code
SURE: SUrvey REcipes for building reliable and robust deep networks	Yuting Li · Yingyi Chen · Xuanlong Yu · Dexiong Chen · Xi Shen	N/A	Code
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation	Ba Hung Ngo · Nhat-Tuong Do-Tran · Tuan-Ngoc Nguyen · Hae-Gon Jeon · Tae Jong Choi	N/A	Code
From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation	Javier Tirado-Garín · Javier Civera	N/A	Code
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models	Pablo Marcos-Manchón · Roberto Alcover-Couso · Juan SanMiguel · Jose M. Martinez	N/A	Code
Attentive Illumination Decomposition Model for Multi-Illuminant White Balancing	Dongyoung Kim · Jinwoo Kim · Junsang Yu · Seon Joo Kim	N/A	Code
Label Propagation for Zero-shot Classification with Vision-Language Models	Vladan Stojnić · Yannis Kalantidis · Giorgos Tolias	N/A	Code
Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation	Zhipeng Du · Miaojing Shi · Jiankang Deng	N/A	Code
A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Network	Ruichen Ma · Guanchao Qiao · Yian Liu · Liwei Meng · Ning Ning · Yang Liu · Shaogang Hu	N/A	Code
LEOD: Label-Efficient Object Detection for Event Cameras	Ziyi Wu · Mathias Gehrig · Qing Lyu · Xudong Liu · Igor Gilitschenski	N/A	Code
OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies	Lingdong Kong · Youquan Liu · Lai Xing Ng · Benoit Cottereau · Wei Tsang Ooi	N/A	Code
VAREN: Very Accurate and Realistic Equine Network	Silvia Zuffi · Ylva Mellbin · Ci Li · Markus Höschle · Hedvig Kjellström · Senya Polikovsky · Elin Hernlund · Michael J. Black	N/A	Code
Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion	Fan Zhang · Shaodi You · Yu Li · Ying Fu	N/A	Code
Cross-spectral Gated-RGB Stereo Depth Estimation	Samuel Brucker · Stefanie Walz · Mario Bijelic · Felix Heide	N/A	Code
3D Face Reconstruction with the Geometric Guidance of Facial Part Segmentation	Zidu Wang · Xiangyu Zhu · Tianshuo Zhang · baiqin wang · Zhen Lei	N/A	Code
HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models	Tianrui Guan · Fuxiao Liu · Xiyang Wu · Ruiqi Xian · Zongxia Li · Xiaoyu Liu · Xijun Wang · Lichang Chen · Furong Huang · Yaser Yacoob · Dinesh Manocha · Tianyi Zhou	N/A	Code
Object Recognition as Next Token Prediction	Kaiyu Yue · Bor-Chun Chen · Jonas Geiping · Hengduo Li · Tom Goldstein · Ser-Nam Lim	N/A	Code
Flexible Biometrics Recognition: Bridging the Multimodality Gap through Attention Alignment and Prompt Tuning	Leslie Ching Ow Tiong · Dick Sigmund · Chen-Hui Chan · Andrew Beng Jin Teoh	N/A	Code
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation	Chanyoung Kim · Woojung Han · Dayun Ju · Seong Jae Hwang	N/A	Code
Disentangled Pre-training for Human-Object Interaction Detection	Zhuolong Li · Xingao Li · Changxing Ding · Xiangmin Xu	N/A	Code
GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding	Zi-Ting Chou · Sheng-Yu Huang · I-Jieh Liu · Yu-Chiang Frank Wang	N/A	Code
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model	Jianhao Zeng · Dan Song · Weizhi Nie · Hongshuo Tian · Tongtong Wang · An-An Liu	N/A	Code
CoGS: Controllable Gaussian Splatting	Heng Yu · Joel Julin · Zoltán Á. Milacski · Koichiro Niinuma · László A. Jeni	N/A	Code
A Bayesian Approach to OOD Robustness in Image Classification	Prakhar Kaushik · Adam Kortylewski · Alan L. Yuille	N/A	Code
ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks	Andrea Rosasco · Stefano Berti · Giulia Pasquale · Damiano Malafronte · Shogo Sato · Hiroyuki Segawa · Tetsugo Inada · Lorenzo Natale	N/A	Code
Readout Guidance: Learning Control from Diffusion Features	Grace Luo · Trevor Darrell · Oliver Wang · Dan B Goldman · Aleksander Holynski	N/A	Code
Transcriptomics-guided Slide Representation Learning in Computational Pathology	Guillaume Jaume · Lukas Oldenburg · Anurag Vaidya · Richard J. Chen · Drew F. K. Williamson · Thomas Peeters · Andrew Song · Faisal Mahmood	N/A	Code
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving	Brian Yang · Huangyuan Su · Nikolaos Gkanatsios · Tsung-Wei Ke · Ayush Jain · Jeff Schneider · Katerina Fragkiadaki	N/A	Code
CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation	Lingjun Zhao · Jingyu Song · Katherine Skinner	N/A	Code
Instance-aware Contrastive Learning for Occluded Human Mesh Reconstruction	Mi-Gyeong Gwon · Gi-Mun Um · Won-Sik Cheong · Wonjun Kim	N/A	Code
BrainWash: A Poisoning Attack to Forget in Continual Learning	Ali Abbasi · Parsa Nooralinejad · Hamed Pirsiavash · Soheil Kolouri	N/A	Code
WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects Under Occlusion	Khiem Vuong · N. Dinesh Reddy · Robert Tamburo · Srinivasa G. Narasimhan	N/A	Code
Data Valuation and Detections in Federated Learning	Wenqian Li · Shuran Fu · Fengrui Zhang · Yan Pang	N/A	Code
ProTeCt: Prompt Tuning for Taxonomic Open Set Classification	Tz-Ying Wu · Chih-Hui Ho · Nuno Vasconcelos	N/A	Code
Mosaic-SDF for 3D Generative Models	Lior Yariv · Omri Puny · Oran Gafni · Yaron Lipman	N/A	Code
FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World Conditions	Jiong WANG · Fengyu Yang · Bingliang Li · Wenbo Gou · Danqi Yan · Ailing Zeng · Yijun Gao · Junle Wang · Yanqing Jing · Ruimao Zhang	N/A	Code
TUMTraf V2X Cooperative Perception Dataset	Walter Zimmer · Gerhard Arya Wardana · Suren Sritharan · Xingcheng Zhou · Rui Song · Alois Knoll	N/A	Code
Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models	Matthew Kowal · Richard P. Wildes · Kosta Derpanis	N/A	Code
A Recipe for Scaling up Text-to-Video Generation with Text-free Videos	Xiang Wang · Shiwei Zhang · Hangjie Yuan · Zhiwu Qing · Biao Gong · Yingya Zhang · Yujun Shen · Changxin Gao · Nong Sang	N/A	Code
GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos	Tomas Soucek · Dima Damen · Michael Wray · Ivan Laptev · Josef Sivic	N/A	Code
TULIP: Transformer for Upsampling of LiDAR Point Clouds	Bin Yang · Patrick Pfreundschuh · Roland Siegwart · Marco Hutter · Peyman Moghadam · Vaishakh Patil	N/A	Code
Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects	Yijia Weng · Bowen Wen · Jonathan Tremblay · Valts Blukis · Dieter Fox · Leonidas Guibas · Stan Birchfield	N/A	Code
Human Gaussian Splatting: Real-time Rendering of Animatable Avatars	Arthur Moreau · Jifei Song · Helisa Dhamo · Richard Shaw · Yiren Zhou · Eduardo Pérez-Pellitero	N/A	Code
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training	Yipeng Gao · Zeyu Wang · Wei-Shi Zheng · Cihang Xie · Yuyin Zhou	N/A	Code
NECA: Neural Customizable Human Avatar	Junjin Xiao · Qing Zhang · Zhan Xu · Wei-Shi Zheng	N/A	Code
EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World	Yifei Huang · Guo Chen · Jilan Xu · Mingfang Zhang · Lijin Yang · Baoqi Pei · Hongjie Zhang · Lu Dong · Yali Wang · Limin Wang · Yu Qiao	N/A	Code
From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration	Zekun Qian · Ruize Han · Wei Feng · Song Wang	N/A	Code
Self-correcting LLM-controlled Diffusion Models	Tsung-Han Wu · Long Lian · Joseph Gonzalez · Boyi Li · Trevor Darrell	N/A	Code
Efficient Dataset Distillation via Minimax Diffusion	Jianyang Gu · Saeed Vahidian · Vyacheslav Kungurtsev · Haonan Wang · Wei Jiang · Yang You · Yiran Chen	N/A	Code
DUSt3R: Geometric 3D Vision Made Easy	Shuzhe Wang · Vincent Leroy · Yohann Cabon · Boris Chidlovskii · Jerome Revaud	N/A	Code
Enhancing Video Super-Resolution via Implicit Resampling-based Alignment	Kai Xu · Ziwei Yu · Xin Wang · Michael Bi Mi · Angela Yao	N/A	Code
InceptionNeXt: When Inception Meets ConvNeXt	Weihao Yu · Pan Zhou · Shuicheng Yan · Xinchao Wang	N/A	Code
Inversion-Free Image Editing with Language-Guided Diffusion Models	Sihan Xu · Yidong Huang · Jiayi Pan · Ziqiao Ma · Joyce Chai	N/A	Code
Generalizable Face Landmarking Guided by Conditional Face Warping	Jiayi Liang · Haotian Liu · Hongteng Xu · Dixin Luo	N/A	Code
eTraM: Event-based Traffic Monitoring Dataset	Aayush Atul Verma · Bharatesh Chakravarthi · Arpitsinh Vaghela · Hua Wei · 'YZ' Yezhou Yang	N/A	Code
SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes	Yihua Huang · Yangtian Sun · Ziyi Yang · Xiaoyang Lyu · Yan-Pei Cao · Xiaojuan Qi	N/A	Code
SiTH: Single-view Textured Human Reconstruction with Image-Conditioned Diffusion	Hsuan-I Ho · Jie Song · Otmar Hilliges	N/A	Code
CAD: Photorealistic 3D Generation via Adversarial Distillation	Ziyu Wan · Despoina Paschalidou · Ian Huang · Hongyu Liu · Bokui Shen · Xiaoyu Xiang · Jing Liao · Leonidas Guibas	N/A	Code
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D	Mukund Varma T · Peihao Wang · Zhiwen Fan · Zhangyang Wang · Hao Su · Ravi Ramamoorthi	N/A	Code
SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency	Paul Roetzer · Florian Bernard	N/A	Code
Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization	Ziying Xia · Jian Cheng · Siyu Liu · Yongxiang Hu · Shiguang Wang · Zhang Yijie · Wanli Dang	N/A	Code
3D Facial Expressions through Analysis-by-Neural-Synthesis	George Retsinas · Panagiotis Filntisis · Radek Danecek · Victoria Abrevaya · Anastasios Roussos · Timo Bolkart · Petros Maragos	N/A	Code
Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition	Filip Ilic · He Zhao · Thomas Pock · Richard P. Wildes	N/A	Code
Segment and Caption Anything	Xiaoke Huang · Jianfeng Wang · Yansong Tang · Zheng Zhang · Han Hu · Jiwen Lu · Lijuan Wang · Zicheng Liu	N/A	Code
ZeroNVS: Zero-Shot 360-Degree View Synthesis from a Single Image	Kyle Sargent · Zizhang Li · Tanmay Shah · Charles Herrmann · Hong-Xing Yu · Yunzhi Zhang · Eric Ryan Chan · Dmitry Lagun · Li Fei-Fei · Deqing Sun · Jiajun Wu	N/A	Code
A2XP: Towards Private Domain Generalization	Geunhyeok Yu · Hyoseok Hwang	N/A	Code
CityDreamer: Compositional Generative Model of Unbounded 3D Cities	Haozhe Xie · Zhaoxi Chen · Fangzhou Hong · Ziwei Liu	N/A	Code
Noisy-Correspondence Learning for Text-to-Image Person Re-identification	Yang Qin · Yingke Chen · Dezhong Peng · Xi Peng · Joey Tianyi Zhou · Peng Hu	N/A	Code
ParamISP: Learned Forward and Inverse ISPs using Camera Parameters	Woohyeok Kim · Geonu Kim · Junyong Lee · Seungyong Lee · Seung-Hwan Baek · Sunghyun Cho	N/A	Code
Diversity-aware Channel Pruning for StyleGAN Compression	Jiwoo Chung · Sangeek Hyun · Sang-Heon Shim · Jae-Pil Heo	N/A	Code
LEMON: Learning 3D Human-Object Interaction Relation from 2D Images	Yuhang Yang · Wei Zhai · Hongchen Luo · Yang Cao · Zheng-Jun Zha	N/A	Code
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild	Weining Ren · Zihan Zhu · Boyang Sun · Jiaqi Chen · Marc Pollefeys · Songyou Peng	N/A	Code
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition	Tongjia Chen · Hongshan Yu · Zhengeng Yang · Zechuan Li · Wei Sun · Chen Chen	N/A	Code
DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning	Yuhang He · YingJie Chen · Yuhan Jin · Songlin Dong · Xing Wei · Yihong Gong	N/A	Code
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences	Minyoung Hwang · Luca Weihs · Chanwoo Park · Kimin Lee · Aniruddha Kembhavi · Kiana Ehsani	N/A	Code
PanoContext-Former: Panoramic Total Scene Understanding with a Transformer	Yuan Dong · Chuan Fang · Liefeng Bo · Zilong Dong · Ping Tan	N/A	Code
Continuous Pose for Monocular Cameras in Neural Implicit Representation	Qi Ma · Danda Paudel · Ajad Chhatkuli · Luc Van Gool	N/A	Code
Learned Trajectory Embedding for Subspace Clustering	Yaroslava Lochman · Christopher Zach · Carl Olsson	N/A	Code
ExtDM: Distribution Extrapolation Diffusion Model for Video Prediction	Zhicheng Zhang · Junyao Hu · Wentao Cheng · Danda Paudel · Jufeng Yang	N/A	Code
HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting	Xian Liu · Xiaohang Zhan · Jiaxiang Tang · Ying Shan · Gang Zeng · Dahua Lin · Xihui Liu · Ziwei Liu	N/A	Code
Depth Prompting for Sensor-Agnostic Depth Estimation	Jin-Hwi Park · Chanhwi Jeong · Junoh Lee · Hae-Gon Jeon	N/A	Code
DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback	Yangyi Chen · Karan Sikka · Michael Cogswell · Heng Ji · Ajay Divakaran	N/A	Code
SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-wild	Andreas Engelhardt · Amit Raj · Mark Boss · Yunzhi Zhang · Abhishek Kar · Yuanzhen Li · Ricardo Martin-Brualla · Jonathan T. Barron · Deqing Sun · Hendrik Lensch · Varun Jampani	N/A	Code
Grounded Question-Answering in Long Egocentric Videos	Shangzhe Di · Weidi Xie	N/A	Code
MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections	mude hui · Zihao Wei · Hongru Zhu · Fei Xia · Yuyin Zhou	N/A	Code
Learning Inclusion Matching for Animation Paint Bucket Colorization	Yuekun Dai · Shangchen Zhou · Blake Li · Chongyi Li · Chen Change Loy	N/A	Code
Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation	Mohammad Amin Shabani · Zhaowen Wang · Difan Liu · Nanxuan Zhao · Jimei Yang · Yasutaka Furukawa	N/A	Code
DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction	Weiyi Lv · Yuhang Huang · NING Zhang · Ruei-Sung Lin · Mei Han · Dan Zeng	N/A	Code
RepViT: Revisiting Mobile CNN From ViT Perspective	Ao Wang · Hui Chen · Zijia Lin · Jungong Han · Guiguang Ding	N/A	Code
Simple Semantic-Aided Few-Shot Learning	Hai Zhang · Junzhe Xu · Shanlin Jiang · Zhenan He	N/A	Code
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation	Taeckyung Lee · Sorn Chottananurak · Taesik Gong · Sung-Ju Lee	N/A	Code
A Simple Recipe for Language-guided Domain Generalized Segmentation	Mohammad Fahes · TUAN-HUNG VU · Andrei Bursuc · Patrick Pérez · Raoul de Charette	N/A	Code
AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor	Sudong Cai	N/A	Code
Improved Implicit Neural Representation with Fourier Reparameterized Training	Kexuan Shi · Xingyu Zhou · Shuhang Gu	N/A	Code
Gradient Alignment for Cross-Domain Face Anti-Spoofing	MINH BINH LE · Simon Woo	N/A	Code
RoMa: Robust Dense Feature Matching	Johan Edstedt · Qiyu Sun · Georg Bökman · Mårten Wadenbäck · Michael Felsberg	N/A	Code
Federated Online Adaptation for Deep Stereo	Matteo Poggi · Fabio Tosi	N/A	Code
MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer	Jianjian Cao · Peng Ye · Shengze Li · Chong Yu · Yansong Tang · Jiwen Lu · Tao Chen	N/A	Code
ReconFusion: 3D Reconstruction with Diffusion Priors	Rundi Wu · Ben Mildenhall · Philipp Henzler · Ruiqi Gao · Keunhong Park · Daniel Watson · Pratul P. Srinivasan · Dor Verbin · Jonathan T. Barron · Ben Poole · Aleksander Holynski	N/A	Code
ReCoRe: Regularized Contrastive Representation Learning of World Model	Rudra P,K. Poudel · Harit Pandya · Stephan Liwicki · Roberto Cipolla	N/A	Code
Learning Object State Changes in Videos: An Open-World Perspective	Zihui Xue · Kumar Ashutosh · Kristen Grauman	N/A	Code
Holistic Features are almost Sufficient for Text-to-Video Retrieval	Kaibin Tian · Ruixiang Zhao · Zijie Xin · Bangxiang Lan · Xirong Li	N/A	Code
Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion	Junjiao Tian · Lavisha Aggarwal · Andrea Colaco · Zsolt Kira · Mar Gonzalez-Franco	N/A	Code
How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?	Subhadeep Koley · Ayan Kumar Bhunia · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
You'll Never Walk Alone: A Sketch and Text Duet for Fine-Grained Image Retrieval	Subhadeep Koley · Ayan Kumar Bhunia · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
It's All About Your Sketch: Democratising Sketch Control in Diffusion Models	Subhadeep Koley · Ayan Kumar Bhunia · Deeptanshu Sekhri · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
Text-to-Image Diffusion Models are Great Sketch-Photo Matchmakers	Subhadeep Koley · Ayan Kumar Bhunia · Aneeshan Sain · Pinaki Nath Chowdhury · Tao Xiang · Yi-Zhe Song	N/A	Code
Insights from the Use of Previously Unseen Neural Architecture Search Datasets	Rob Geada · David Towers · Matthew Forshaw · Amir Atapour-Abarghouei · Stephen McGough	N/A	Code
General Object Foundation Model for Images and Videos at Scale	Junfeng Wu · Yi Jiang · Qihao Liu · Zehuan Yuan · Xiang Bai · Song Bai	N/A	Code
WonderJourney: Going from Anywhere to Everywhere	Hong-Xing Yu · Haoyi Duan · Junhwa Hur · Kyle Sargent · Michael Rubinstein · William Freeman · Forrester Cole · Deqing Sun · Noah Snavely · Jiajun Wu · Charles Herrmann	N/A	Code
MoDE: CLIP Data Experts via Clustering	Jiawei Ma · Po-Yao Huang · Saining Xie · Shang-Wen Li · Luke Zettlemoyer · Shih-Fu Chang · Wen-tau Yih · Hu Xu	N/A	Code
Flow-Guided Online Stereo Rectification for Wide Baseline Stereo	Anush Kumar · Fahim Mannan · Omid Hosseini Jafari · Shile Li · Felix Heide	N/A	Code
4D Gaussian Splatting for Real-Time Dynamic Scene Rendering	Guanjun Wu · Taoran Yi · Jiemin Fang · Lingxi Xie · Xiaopeng Zhang · Wei Wei · Wenyu Liu · Qi Tian · Xinggang Wang	N/A	Code
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training	Xiaoyang Wu · Zhuotao Tian · Xin Wen · Bohao Peng · Xihui Liu · Kaicheng Yu · Hengshuang Zhao	N/A	Code
Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning	Desai Xie · Jiahao Li · Hao Tan · Xin Sun · Zhixin Shu · Yi Zhou · Sai Bi · Soren Pirk · ARIE KAUFMAN	N/A	Code
Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles	Rui Song · Chenwei Liang · Hu Cao · Zhiran Yan · Walter Zimmer · Markus Gross · Andreas Festag · Alois Knoll	N/A	Code
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation	Kangfu Mei · Mauricio Delbracio · Hossein Talebi · Zhengzhong Tu · Vishal M. Patel · Peyman Milanfar	N/A	Code
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation	Yuan Xiao · Shiqing Ma · Juan Zhai · Chunrong Fang · Jinyuan Jia · Zhenyu Chen	N/A	Code
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds	Zhimin Yuan · Wankang Zeng · Yanfei Su · Weiquan Liu · Ming Cheng · Yulan Guo · Cheng Wang	N/A	Code
EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modeling	Haiyang Liu · Zihao Zhu · Giorgio Becherini · YICHEN PENG · Mingyang Su · YOU ZHOU · Xuefei Zhe · Naoya Iwamoto · Bo Zheng · Michael J. Black	N/A	Code
Training-Free Open-Vocabulary Segmentation with Offline Diffusion-Augmented Prototype Generation	Luca Barsellotti · Roberto Amoroso · Marcella Cornia · Lorenzo Baraldi · Rita Cucchiara	N/A	Code
Real Acoustic Fields: An Audio-Visual Room Acoustics Dataset and Benchmark	Ziyang Chen · Israel D. Gebru · Christian Richardt · Anurag Kumar · William Laney · Andrew Owens · Alexander Richard	N/A	Code
Language Embedded 3D Gaussians for Open-Vocabulary Scene Understanding	Jin-Chuan Shi · Miao Wang · Haobin Duan · Shaohua Guan	N/A	Code
Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective	Jinjing Zhao · Fangyun Wei · Chang Xu	N/A	Code
SinSR: Diffusion-Based Image Super-Resolution in a Single Step	Yufei Wang · Wenhan Yang · Xinyuan Chen · Yaohui Wang · Lanqing Guo · Lap-Pui Chau · Ziwei Liu · Yu Qiao · Alex C. Kot · Bihan Wen	N/A	Code
VBench: Comprehensive Benchmark Suite for Video Generative Models	Ziqi Huang · Yinan He · Jiashuo Yu · Fan Zhang · Chenyang Si · Yuming Jiang · Yuanhan Zhang · Tianxing Wu · Jin Qingyang · Nattapol Chanpaisit · Yaohui Wang · Xinyuan Chen · Limin Wang · Dahua Lin · Yu Qiao · Ziwei Liu	N/A	Code
A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition	Yusheng Dai · HangChen · Jun Du · Ruoyu Wang · shihao chen · Haotian Wang · Chin-Hui Lee	N/A	Code
Vlogger: Make Your Dream A Vlog	Shaobin Zhuang · Kunchang Li · Xinyuan Chen · Yaohui Wang · Ziwei Liu · Yu Qiao · Yali Wang	N/A	Code
EpiDiff: Enhancing Multi-View Synthesis via Localized Epipolar-Constrained Diffusion	Zehuan Huang · Hao Wen · Junting Dong · Yaohui Wang · Yangguang Li · Xinyuan Chen · Yan-Pei Cao · Ding Liang · Yu Qiao · Bo Dai · Lu Sheng	N/A	Code
Unsupervised Learning of Category-Level 3D Pose from Object-Centric Videos	Leonhard Sommer · Artur Jesslen · Eddy Ilg · Adam Kortylewski	N/A	Code
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes	Bor Shiun Wang · Chien-Yi Wang · Wei-Chen Chiu	N/A	Code
Correlation-aware Coarse-to-fine MLPs for Deformable Medical Image Registration	Mingyuan Meng · Dagan Feng · Lei Bi · Jinman Kim	N/A	Code
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives	Kristen Grauman · Andrew Westbury · Lorenzo Torresani · Kris Kitani · Jitendra Malik · Triantafyllos Afouras · Kumar Ashutosh · Vijay Baiyya · Siddhant Bansal · Bikram Boote · Eugene Byrne · Zachary Chavis · Joya Chen · Feng Cheng · Fu-Jen Chu · Sean Crane · Avijit Dasgupta · Jing Dong · Maria Escobar · Cristhian David Forigua Diaz · Abrham Gebreselasie · Sanjay Haresh · Jing Huang · Md Mohaiminul Islam · Suyog Jain · Rawal Khirodkar · Devansh Kukreja · Kevin Liang · Jia-Wei Liu · Sagnik Majumder · Yongsen Mao · Miguel Martin · Effrosyni Mavroudi · Tushar Nagarajan · Francesco Ragusa · Santhosh Kumar Ramakrishnan · Luigi Seminara · Arjun Somayazulu · Yale Song · Shan Su · Zihui Xue · Edward Zhang · Jinxu Zhang · Angela Castillo · Changan Chen · Fu Xinzhu · Ryosuke Furuta · Cristina González · Gupta · Jiabo Hu · Yifei Huang · Yiming Huang · Weslie Khoo · Anush Kumar · Robert Kuo · Sach Lakhavani · Miao Liu · Mi Luo · Zhengyi Luo · Brighid Meredith · Austin Miller · Oluwatumininu Oguntola · Xiaqing Pan · Penny Peng · Shraman Pramanick · Merey Ramazanova · Fiona Ryan · Wei Shan · Kiran Somasundaram · Chenan Song · Audrey Southerland · Masatoshi Tateno · Huiyu Wang · Yuchen Wang · Takuma Yagi · Mingfei Yan · Xitong Yang · Zecheng Yu · Shengxin Zha · Chen Zhao · Ziwei Zhao · Zhifan Zhu · Jeff Zhuo · Pablo ARBELAEZ · Gedas Bertasius · Dima Damen · Jakob Engel · Giovanni Maria Farinella · Antonino Furnari · Bernard Ghanem · Judy Hoffman · C.V. Jawahar · Richard Newcombe · Hyun Soo Park · James Rehg · Yoichi Sato · Manolis Savva · Jianbo Shi · Mike Zheng Shou · Michael Wray	N/A	Code
Generalized Predictive Model for Autonomous Driving	Jiazhi Yang · Shenyuan Gao · Yihang Qiu · Li Chen · Tianyu Li · Bo Dai · Kashyap Chitta · Penghao Wu · Jia Zeng · Ping Luo · Jun Zhang · Andreas Geiger · Yu Qiao · Hongyang Li	N/A	Code
RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D	Lingteng Qiu · Guanying Chen · Xiaodong Gu · Qi Zuo · Mutian Xu · Yushuang Wu · Weihao Yuan · Zilong Dong · Liefeng Bo · Xiaoguang Han	N/A	Code
GenesisTex: Adapting Image Denoising Diffusion to Texture Space	Chenjian Gao · Boyan Jiang · Xinghui Li · YingPeng Zhang · Qian Yu	N/A	Code
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks	Shin'ya Yamaguchi · Sekitoshi Kanai · Kazuki Adachi · Daiki Chijiwa	N/A	Code
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis	Yiyang Chen · Lunhao Duan · Shanshan Zhao · Changxing Ding · Dacheng Tao	N/A	Code
DiffusionLight: Light Probes for Free by Painting a Chrome Ball	Pakkapon Phongthawee · Worameth Chinchuthakun · Nontaphat Sinsunthithet · Varun Jampani · Amit Raj · Pramook Khungurn · Supasorn Suwajanakorn	N/A	Code
Describing Differences in Image Sets with Natural Language	Lisa Dunlap · Yuhui Zhang · Xiaohan Wang · Ruiqi Zhong · Trevor Darrell · Jacob Steinhardt · Joseph Gonzalez · Serena Yeung	N/A	Code
Object Pose Estimation via the Aggregation of Diffusion Features	Tianfu Wang · Guosheng Hu · Hongguang Wang	N/A	Code
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement	Xiuquan Hou · Meiqin Liu · Senlin Zhang · Ping Wei · Badong Chen	N/A	Code
Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation	ZHIXIANG WEI · Lin Chen · Xiaoxiao Ma · Huaian Chen · Tianle Liu · Pengyang Ling · Jinjin Zheng · Ben Wang · Yi Jin	N/A	Code
OpenStreetView-5M: The Many Roads to Global Visual Geolocation	Guillaume Astruc · Nicolas Dufour · Ioannis Siglidis · Constantin Aronssohn · Nacim Bouia · Stephanie Fu · Romain Loiseau · Van Nguyen Nguyen · Charles Raude · Elliot Vincent · Lintao XU · Hongyu Zhou · Loic Landrieu	N/A	Code
Action Scene Graphs for Long-Form Understanding of Egocentric Videos	Ivan Rodin · Antonino Furnari · Kyle Min · Subarna Tripathi · Giovanni Maria Farinella	N/A	Code
Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization	Lahav Lipson · Jia Deng	N/A	Code
RNb-NeuS: Reflectance and Normal-based Multi-View 3D Reconstruction	Baptiste Brument · Robin Bruneau · Yvain Queau · Jean Mélou · Francois Lauze · Jean-Denis Durou · Lilian Calvet	N/A	Code
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation	Xiao Ma · Sumit Patidar · Iain Haughton · Stephen James	N/A	Code
Tyche: Stochastic In-Context Learning for Medical Image Segmentation	Marianne Rakic · Hallee Wong · Jose Javier Gonzalez Ortiz · Beth Cimini · John Guttag · Adrian V. Dalca	N/A	Code
How Far Can We Compress Instant-NGP-Based NeRF?	Yihang Chen · Qianyi Wu · Mehrtash Harandi · Jianfei Cai	N/A	Code
CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention	Mohammad Sadil Khan · Elona Dupont · Sk Aziz Ali · Kseniya Cherenkova · Anis Kacem · Djamila Aouada	N/A	Code
LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection	Dat NGUYEN · Nesryne Mejri · Inder Pal Singh · Polina Kuleshova · Marcella Astrid · Anis Kacem · Enjie Ghorbel · Djamila Aouada	N/A	Code
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection	Mingxuan Liu · Tyler Hayes · Elisa Ricci · Gabriela Csurka · Riccardo Volpi	N/A	Code
IPoD: Implicit Field Learning with Point Diffusion for Generalizable 3D Object Reconstruction from Single RGB-D Images	Yushuang Wu · Luyue Shi · Junhao Cai · Weihao Yuan · Lingteng Qiu · Zilong Dong · Liefeng Bo · Shuguang Cui · Xiaoguang Han	N/A	Code
Normalizing Flows on the Product Space of SO(3) Manifolds for Probabilistic Human Pose Modeling	Olaf Dünkel · Tim Salzmann · Florian Pfaff	N/A	Code
The Devil is in the Details: StyleFeatureEditor for Detail-Rich StyleGAN Inversion and High Quality Image Editing	Denis Bobkov · Vadim Titov · Aibek Alanov · Dmitry Vetrov	N/A	Code
SVGDreamer: Text Guided SVG Generation with Diffusion Model	XiMing Xing · Chuang Wang · Haitao Zhou · Jing Zhang · Dong Xu · Qian Yu	N/A	Code
Learning to Remove Wrinkled Transparent Film with Polarized Prior	Jiaqi Tang · RUIZHENG WU · Xiaogang Xu · Sixing Hu · Ying-Cong Chen	N/A	Code
GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image	Chong Bao · Yinda Zhang · Yuan Li · Xiyu Zhang · Bangbang Yang · Hujun Bao · Marc Pollefeys · Guofeng Zhang · Zhaopeng Cui	N/A	Code
Joint-Task Regularization for Partially Labeled Multi-Task Learning	Kento Nishi · Junsik Kim · Wanhua Li · Hanspeter Pfister	N/A	Code
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos	Kumaranage Ravindu Nagasinghe · Honglu Zhou · Malitha Gunawardhana · Martin Renqiang Min · Daniel Harari · Muhammad Haris Khan	N/A	Code
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology	Saarthak Kapse · Pushpak Pati · Srijan Das · Jingwei Zhang · Chao Chen · Maria Vakalopoulou · Joel Saltz · Dimitris Samaras · Rajarsi Gupta · Prateek Prasanna	N/A	Code
Learned Representation-Guided Diffusion Models for Large-Image Generation	Alexandros Graikos · Srikar Yellapragada · Minh-Quan Le · Saarthak Kapse · Prateek Prasanna · Joel Saltz · Dimitris Samaras	N/A	Code
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation	Sumanth Udupa · Prajwal Gurunath · Aniruddh Sikdar · Suresh Sundaram	N/A	Code
HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation	Ce Zhang · Simon Stepputtis · Joseph Campbell · Katia Sycara · Yaqi Xie	N/A	Code
IEEE Computer Society	Unknown	N/A	Code
The Computer Vision Foundation	Unknown	N/A	Code

ECCV 2020

Title	Author	PDF_Link	Code_URL
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images	Jacopo Bonato, Marco Cotogni, Luigi Sabetta	PDF	N/A
Octopus: Embodied Vision-Language Programmer from Environmental Feedback	Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, ChenCheng Jiang, Haoran Tan, Jiamu Kang, Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu*	PDF	N/A
FunQA: Towards Surprising Video Comprehension	Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu*	PDF	N/A
4D Contrastive Superflows are Dense 3D Representation Learners	Xiang Xu, Lingdong Kong, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu	PDF	N/A
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation	Yuyuan Liu*, Yuanhong Chen, Hu Wang, Vasileios Belagiannis, Ian Reid, Gustavo Carneiro	PDF	N/A
Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos	Keqiang Sun, Dor Litvak, Yunzhi Zhang, Hongsheng Li, Jiajun Wu, Shangzhe Wu	PDF	N/A
Robust Fitting on a Gate Quantum Computer	Frances F Yang*, Michele Sasdelli, Tat-Jun Chin	PDF	N/A
H-V2X: A Large Scale Highway Dataset for BEV Perception	Chang Liu*, MingXu zhu, Cong Ma	PDF	N/A
Learning Camouflaged Object Detection from Noisy Pseudo Label	Jin Zhang, Ruiheng Zhang, Yanjiao Shi, Zhe Cao, Nian Liu, Fahad Shahbaz Khan	PDF	N/A
Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance	Kuan-Chih Huang*, Yi-Hsuan Tsai, Ming-Hsuan Yang	PDF	N/A
Deblur e-NeRF: NeRF from Motion-Blurred Events under High-speed or Low-light Conditions	Weng Fei Low*, Gim Hee Lee	PDF	N/A
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction	Shengke Sun, Ziqian Luan, Zhanshan Zhao, Shijie Luo, Shuzhen Han	PDF	N/A
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence	Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding	PDF	N/A
PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts	Zewen Chen, Haina Qin, Juan Wang, Chunfeng Yuan, Bing Li*, Weiming Hu, Leon Wang	PDF	N/A
Motion Mamba: Efficient and Long Sequence Motion Generation	Zeyu Zhang, Akide Liu, Ian Reid, RICHARD HARTLEY, Bohan Zhuang, Hao Tang*	PDF	N/A
Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis	Yuanhao Cai*, Yixun Liang, Jiahao Wang, Angtian Wang, Yulun Zhang, Xiaokang Yang, Zongwei Zhou, Alan Yuille	PDF	N/A
"Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance"	Liting Lin, Heng Fan, Zhipeng Zhang, Yaowei Wang, Yong Xu, Haibin Ling	PDF	N/A
A Direct Approach to Viewing Graph Solvability	Federica Arrigoni*, Andrea Fusiello, Tomas Pajdla	PDF	N/A
CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization	Jiawei Zhang, Jiahe Li, Xiaohan Yu, Lei Huang, Lin Gu, Jin Zheng, Xiao Bai	PDF	N/A
SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving	Qingwen Zhang*, Yi Yang, Peizheng Li, Olov Andersson, Patric Jensfelt	PDF	N/A
ZeST: Zero-Shot Material Transfer from a Single Image	Ta-Ying Cheng, Prafull Sharma, Andrew Markham, Niki Trigoni, Varun Jampani*	PDF	N/A
3D Congealing: 3D-Aware Image Alignment in the Wild	Yunzhi Zhang*, Zizhang Li, Amit Raj, Andreas Engelhardt, Yuanzhen Li, Tingbo Hou, Jiajun Wu, Varun Jampani	PDF	N/A
SMooDi: Stylized Motion Diffusion Model	Lei Zhong, Yiming Xie, Varun Jampani, Deqing Sun, Huaizu Jiang*	PDF	N/A
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs	Viraj Shah, Nataniel Ruiz, Forrester Cole, Erika Lu, Svetlana Lazebnik, Yuanzhen Li, Varun Jampani*	PDF	N/A
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion	Vikram Voleti, Chun-Han Yao, Mark Boss, Adam Letts, David Pankratz, Dmitrii Tochilkin, Christian Laforte, Robin Rombach, Varun Jampani	PDF	N/A
WordRobe: Text-Guided Generation of Textured 3D Garments	Astitva Srivastava*, Pranav Manu, Amit Raj, Varun Jampani, Avinash Sharma	PDF	N/A
Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation	Taekyung Ki, Dongchan Min, Gyeongsu Chae	PDF	N/A
SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras	Yingqi Tang, Zhaotie Meng, Guoliang Chen, Erkang Cheng*	PDF	N/A
"EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Human Motion Generation"	Wenyang Zhou, Zhiyang Dou*, Zeyu Cao, Zhouyingcheng Liao, Jingbo Wang, Wenjia Wang, Yuan Liu, Taku Komura, Wenping Wang, Lingjie Liu	PDF	N/A
Editable Image Elements for Controllable Synthesis	Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park	PDF	N/A
Improving 2D Feature Representations by 3D-Aware Fine-Tuning	Yuanwen Yue*, Anurag Das, Francis Engelmann, Siyu Tang, Jan Eric Lenssen	PDF	N/A
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection	Yuanpeng Tu, Boshen Zhang, Liang Liu, YUXI LI, Jiangning Zhang, Yabiao Wang, Chengjie Wang, cairong zhao	PDF	N/A
PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion	Runsong Zhu, Shi Qiu, Qianyi Wu, Ka-Hei Hui, Pheng-Ann Heng, Chi-Wing Fu	PDF	N/A
SemGrasp: Semantic Grasp Generation via Language Aligned Discretization	Kailin Li, Jingbo Wang, Lixin Yang, Cewu Lu, Bo Dai	PDF	N/A
MANIKIN: Biomechanically Accurate Neural Inverse Kinematics for Human Motion Estimation	Jiaxi Jiang*, Paul Streli, Xuejing Luo, Christoph Gebhardt, Christian Holz	PDF	N/A
Simple Unsupervised Knowledge Distillation With Space Similarity	Aditya Singh*, Haohan Wang	PDF	N/A
DragAPart: Learning a Part-Level Motion Prior for Articulated Objects	Ruining Li*, Chuanxia Zheng, Christian Rupprecht, Andrea Vedaldi	PDF	N/A
Diffusion Bridges for 3D Point Cloud Denoising	Mathias Vogel Hüni, Keisuke Tateno, Marc Pollefeys, Federico Tombari, Marie-Julie Rakotosaona, Francis Engelmann*	PDF	N/A
Optimizing Illuminant Estimation in Dual-Exposure HDR Imaging	Mahmoud Afifi*, Zhenhua Hu, Liang Liang	PDF	N/A
BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos	Pilhyeon Lee*, Hyeran Byun	PDF	N/A
MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description	Ziqiang Zheng*, Yiwei Chen, Huimin Zeng, Tuan-Anh Vu, Binh-Son Hua, Sai-Kit Yeung	PDF	N/A
Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data	Jia-Yi Li, Xi-Le Zhao*, Jian-Li Wang, Chao Wang, Min Wang	PDF	N/A
EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere	Jiaxi Jiang*, Paul Streli, Manuel Meier, Christian Holz	PDF	N/A
Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition	Satoshi Ikehata*, Yuta Asano	PDF	N/A
SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction	Marko Mihajlovic*, Sergey Prokudin, Siyu Tang, Robert Maier, Federica Bogo, Tony Tung, Edmond Boyer	PDF	N/A
VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models	Junlin Han*, Filippos Kokkinos, Philip Torr	PDF	N/A
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences	Shishir Reddy Vutukur*, Junwen Huang, Rasmus Laurvig Haugaard, Benjamin Busam, Tolga Birdal	PDF	N/A
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs	Muhammad Jehanzeb Mirza*, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger	PDF	N/A
Physics-Based Interaction with 3D Objects via Video Generation	Tianyuan Zhang*, Hong-Xing Yu, Rundi Wu, Brandon Y Feng, Changxi Zheng, Noah Snavely, Jiajun Wu, William T. Freeman	PDF	N/A
Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians	Licheng Zhong, Hong-Xing Yu, Jiajun Wu, Yunzhu Li*	PDF	N/A
Deep Patch Visual SLAM	Lahav Lipson*, Zachary Teed, Jia Deng	PDF	N/A
Surface Reconstruction for 3D Gaussian Splatting via Local Structural Hints	Qianyi Wu*, Jianmin Zheng, Jianfei Cai	PDF	N/A
HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting	Helisa Dhamo, Yinyu Nie, Arthur Moreau, Jifei Song, Richard Shaw, Yiren Zhou, Eduardo Pérez-Pellitero	PDF	N/A
LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow	Hongyu Wen*, Erich Liang, Jia Deng	PDF	N/A
Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal	Yuxin Wang, Qianyi Wu, Guofeng Zhang, Dan Xu*	PDF	N/A
Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation	Friedhelm Hamann*, Ziyun Wang, Ioannis Asmanis, Kenneth Chaney, Guillermo Gallego, Kostas Daniilidis	PDF	N/A
Efficient Few-Shot Action Recognition via Multi-Level Post-Reasoning	Cong Wu, Xiao-Jun Wu*, Linze Li, Tianyang Xu, Zhenhua Feng, Josef Kittler	PDF	N/A
Text2Place: Affordance-aware Text Guided Human Placement	Rishubh Parihar*, Harsh Gupta, Sachidanand VS, Venkatesh Babu RADHAKRISHNAN	PDF	N/A
OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations	Yiming Zuo*, Jia Deng	PDF	N/A
Zero-Shot Multi-Object Scene Completion	Shun Iwase*, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rareș A Ambruș, Sergey Zakharov	PDF	N/A
Beta-Tuned Timestep Diffusion Model	Tianyi Zheng, Peng-Tao Jiang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li*	PDF	N/A
POA: Pre-training Once for Models of All Sizes	Yingying Zhang, Xin Guo, Jiangwei Lao, Lei Yu, Lixiang Ru, Jian Wang, Guo Ye, HUIMEI HE, Jingdong Chen, Ming Yang	PDF	N/A
Taming Latent Diffusion Model for Neural Radiance Field Inpainting	Chieh Hubert Lin*, Changil Kim, Jia-Bin Huang, Qinbo Li, Chih-Yao Ma, Johannes Kopf, Ming-Hsuan Yang, Hung-Yu Tseng	PDF	N/A
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation	Xiaoshuai Hao*, Ruikai Li, Hui Zhang, Rong Yin, Dingzhe Li, Sangil Jung, Seung-In Park, ByungIn Yoo, Haimei Zhao, Jing Zhang	PDF	N/A
"ByteEdit: Boost, Comply and Accelerate Generative Image Editing"	Yuxi Ren, Jie Wu*, Yanzuo Lu, Huafeng Kuang, Xin Xia, Xionghui Wang, Qianqian Wang, Yixing Zhu, Pan Xie, Shiyin Wang, Xuefeng Xiao, Yitong Wang, Min Zheng, Lean FU	PDF	N/A
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion	Sungmin Woo, Wonjoon Lee, Woo Jin Kim, Dogyoon Lee, Sangyoun Lee	PDF	N/A
High-Resolution and Few-shot View Synthesis from Asymmetric Dual-lens Inputs	Ruikang Xu, Mingde Yao, Yue Li, Yueyi Zhang, Zhiwei Xiong*	PDF	N/A
Accelerating Image Super-Resolution Networks with Pixel-Level Classification	Jinho Jeong, Jinwoo Kim, Younghyun Jo, Seon Joo Kim*	PDF	N/A
LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation	Jianan Li, Qiulei Dong	PDF	N/A
Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution	Xingyuan Li, Jinyuan Liu*, ZHIXIN CHEN, Yang Zou, Long Ma, Xin Fan, Risheng Liu	PDF	N/A
Click-Gaussian: Interactive Segmentation to Any 3D Gaussians	Seokhun Choi, Hyeonseop Song, Jaechul Kim, Taehyeong Kim, Hoseok Do	PDF	N/A
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes	Zelong Zeng*, Kaname Tomite	PDF	N/A
DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction	Mozghan Pourkeshavarz*, Arielle Zhang, Amir Rasouli	PDF	N/A
Track Everything Everywhere Fast and Robustly	Yunzhou Song, Jiahui Lei*, Ziyun Wang, Lingjie Liu, Kostas Daniilidis	PDF	N/A
Towards Open-ended Visual Quality Comparison	Haoning Wu, Hanwei Zhu, Zicheng Zhang, Erli Zhang, Chaofeng Chen, Liang Liao, Chunyi Li, Annan Wang, Wenxiu Sun, Qiong Yan, Xiaohong Liu, Guangtao Zhai, Shiqi Wang, Weisi Lin*	PDF	N/A
FreeInit: Bridging Initialization Gap in Video Diffusion Models	Tianxing Wu*, Chenyang Si, Yuming Jiang, Ziqi Huang, Ziwei Liu	PDF	N/A
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs	DongHyun Kim, Byeongho Heo, Dongyoon Han*	PDF	N/A
Eliminating Feature Ambiguity for Few-Shot Segmentation	Qianxiong Xu*, Guosheng Lin, Chen Change Loy, Cheng Long, Ziyue Li, Rui Zhao	PDF	N/A
Soft Prompt Generation for Domain Generalization	Shuanghao Bai, Yuedi Zhang, Wanqi Zhou, Zhirong Luan, Badong Chen	PDF	N/A
Shedding More Light on Robust Classifiers under the lens of Energy-based Models	Mujtaba Hussain Mirza, Maria Rosaria Briglia, Senad Beadini, Iacopo Masi	PDF	N/A
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation	Jiaxiang Tang*, Zhaoxi Chen, Xiaokang Chen, Tengfei Wang, Gang Zeng, Ziwei Liu	PDF	N/A
Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization	Qi Zhang, Kaiyi Zhang, Antoni B. Chan, Hui Huang*	PDF	N/A
RAW-Adapter: Adapting Pretrained Visual Model to Camera RAW Images	Ziteng Cui*, Tatsuya Harada	PDF	N/A
SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic	Kashyap Chitta*, Daniel Dauner, Andreas Geiger	PDF	N/A
AFreeCA: Annotation-Free Counting for All	Adriano D'Alessandro*, Ali Mahdavi-Amiri, Ghassan Hamarneh	PDF	N/A
Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap	Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong	PDF	N/A
LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation	Yushi Lan, Fangzhou Hong, Shuai Yang, Shangchen Zhou, Xuyi Meng, Bo Dai, Xingang Pan, Chen Change Loy*	PDF	N/A
Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion	Bohan Li*, Jiajun Deng, Wenyao Zhang, Zhujin Liang, Dalong Du, Xin Jin, Wenjun Zeng	PDF	N/A
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration	Xueyang Kang, Zhaoliang Luan, Kourosh Khoshelham, Bing WANG	PDF	N/A
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation	Chenxin Li*, Xinyu Liu, Cheng Wang, Yifan Liu, Weihao Yu, Jing Shao, Yixuan Yuan	PDF	N/A
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery	Fernando Julio Cendra, Bingchen Zhao, Kai Han*	PDF	N/A
Sapiens: Foundation for Human Vision Models	Rawal Khirodkar*, Timur Bagautdinov, Julieta Martinez, Zhaoen Su, Austin T James, Peter Selednik, Stuart Anderson, Shunsuke Saito	PDF	N/A
Linearly Controllable GAN: Unsupervised Feature Categorization and Decomposition for Image Generation and Manipulation	sehyung lee*, Mijung Kim, Yeongnam Chae, Bjorn Stenger	PDF	N/A
Generating Human Interaction Motions in Scenes with Text Control	Hongwei Yi, Justus Thies, Michael J. Black, Xue Bin Peng, Davis Rempe	PDF	N/A
NOVUM: Neural Object Volumes for Robust Object Classification	Artur Jesslen*, Guofeng Zhang, Angtian Wang, Wufei Ma, Alan Yuille, Adam Kortylewski	PDF	N/A
Align before Collaborate: Mitigating Feature Misalignment for Robust Multi-Agent Perception	Dingkang Yang, Dingkang Yang, Ke Li, Dongling Xiao, Zedian Shao, Peng Sun, Liang Song*	PDF	N/A
HIMO: A New Benchmark for Full-Body Human Interacting with Multiple Objects	Xintao Lv, Liang Xu, Yichao Yan*, Xin Jin, Congsheng Xu, Wu Shuwen, Yifan Liu, Lincheng Li, Mengxiao Bi, Wenjun Zeng, Xiaokang Yang	PDF	N/A
SAIR: Learning Semantic-aware Implicit Representation	Canyu Zhang, Xiaoguang Li, Qing Guo, Song Wang	PDF	N/A
ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization	Yixin Yang, Jiangxin Dong, Jinhui Tang, Jinshan Pan*	PDF	N/A
UNIC: Universal Classification Models via Multi-teacher Distillation	Yannis Kalantidis, Diane Larlus, Mert Bulent Sariyildiz*, Philippe Weinzaepfel, Thomas LUCAS	PDF	N/A
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation	Arpit Garg*, Cuong Cao Nguyen, RAFAEL FELIX, Thanh-Toan Do, Gustavo Carneiro	PDF	N/A
Eliminating Warping Shakes for Unsupervised Online Video Stitching	Lang Nie, Chunyu Lin*, Kang Liao, Yun Zhang, Shuaicheng Liu, Rui Ai, Yao Zhao	PDF	N/A
Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models	Haoran Wei*, Lingyu Kong, Jinyue Chen, Liang Zhao, Zheng Ge, Jinrong Yang, Jianjian Sun, Chunrui Han, Xiangyu Zhang	PDF	N/A
Merlin: Empowering Multimodal LLMs with Foresight Minds	En Yu, Liang Zhao, YANA WEI, Jinrong Yang, Dongming Wu, Lingyu Kong, Haoran Wei, Tiancai Wang, Zheng Ge, Xiangyu Zhang, Wenbing Tao*	PDF	N/A
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders	Jefferson Hernandez*, Ruben Villegas, Vicente Ordonez	PDF	N/A
E.T. the Exceptional Trajectory: Text-to-camera-trajectory generation with character awareness	Robin Courant*, Nicolas Dufour, Xi WANG, Marc Christie, Vicky Kalogeiton	PDF	N/A
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding	Ming Hu, Peng Xia, Lin Wang, Siyuan Yan, Feilong Tang, zhongxing xu, Yimin Luo, Kaimin Song, Jurgen Leitner, Xuelian Cheng, Jun Cheng, Chi Liu, Kaijing Zhou, Zongyuan Ge*	PDF	N/A
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark	Zhengdi Yu, Shaoli Huang*, yongkang cheng, Tolga Birdal	PDF	N/A
AttnZero: Efficient Attention Discovery for Vision Transformers	Lujun Li, Zimian Wei, Peijie Dong, Wenhan Luo, Wei Xue, Qifeng Liu, Yike Guo*	PDF	N/A
Auto-GAS: Automated Proxy Discovery for Training-free Generative Architecture Search	Lujun Li, Haosen Sun, Shiwen Li, Peijie Dong, Wenhan Luo, Wei Xue, Qifeng Liu, Yike Guo	PDF	N/A
Auto-DAS: Automated Proxy Discovery for Training-free Distillation-aware Architecture Search	Haosen Sun, Lujun Li*, Peijie Dong, Zimian Wei, Shitong Shao	PDF	N/A
UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation	Zexiang Liu, Yangguang Li, Youtian Lin, Xin Yu, Sida Peng, Yan-Pei Cao, Xiaojuan Qi, Xiaoshui Huang, Ding Liang*, Wanli Ouyang	PDF	N/A
TimeCraft: Navigate Weakly-Supervised Temporal Grounded Video Question Answering via Bi-directional Reasoning	Huabin Liu, Xiao Ma, Cheng Zhong, Yang Zhang, Weiyao Lin*	PDF	N/A
Spectral Subsurface Scattering for Material Classification	Haejoon Lee*, Aswin Sankaranarayanan	PDF	N/A
nuCraft: Crafting High Resolution 3D Semantic Occupancy for Unified 3D Scene Understanding	Benjin Zhu, zhe wang, Hongsheng Li	PDF	N/A
Dynamic Neural Radiance Field From Defocused Monocular Video	Xianrui Luo, Huiqiang Sun, Juewen Peng, Zhiguo Cao*	PDF	N/A
PiTe: Pixel-Temporal Alignment for Large Video-Language Model	Yang Liu*, Pengxiang Ding, Siteng Huang, Min Zhang, Han Zhao, Donglin Wang	PDF	N/A
CarFormer: Self-Driving with Learned Object-Centric Representations	Shadi Hamdan*, Fatma Guney	PDF	N/A
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models	Wei WU, Qingnan Fan, Shuai Qin, Hong Gu, Ruoyu Zhao, Antoni Chan	PDF	N/A
Plain-Det: A Plain Multi-Dataset Object Detector	Cheng Shi, Yuchen Zhu, Sibei Yang*	PDF	N/A
Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation	Zhen Zhao, Zicheng Wang, Dian Yu, Longyue Wang, Yixuan Yuan, Luping Zhou	PDF	N/A
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation	Wei Cong*, Yang Cong, Yuyang Liu, Gan Sun	PDF	N/A
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching	Dongliang Cao*, Zorah Laehner, Florian Bernard	PDF	N/A
Text-Guided Video Masked Autoencoder	David Fan*, Jue Wang, Shuai Liao, Zhikang Zhang, Vimal Bhat, Xinyu Li	PDF	N/A
Diffusion Models for Open-Vocabulary Segmentation	Laurynas Karazija*, Iro Laina, Andrea Vedaldi, Christian Rupprecht	PDF	N/A
Textual-Visual Logic Challenge: Understanding and Reasoning in Text-to-Image Generation	Peixi Xiong*, Michael A Kozuch, Nilesh Jain	PDF	N/A
EvSign: Sign Language Recognition and Translation with Streaming Events	Pengyu Zhang*, Hao Yin, Zeren Wang, Wenyue Chen, Sheng Ming Li, Dong Wang, Huchuan Lu, Xu Jia	PDF	N/A
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots	Pengxiang Ding, Han Zhao, Wenjie Zhang, Wenxuan Song, Min Zhang, Siteng Huang, Ningxi Yang, Donglin Wang*	PDF	N/A
Zero-shot Object Counting with Good Exemplars	Huilin Zhu, Jingling Yuan, Zhengwei Yang, Yu Guo, Xian Zhong, Zheng Wang, Shengfeng He	PDF	N/A
TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering	Jingye Chen*, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei	PDF	N/A
SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds	Yanbo Wang, Wentao Zhao, Cao Chuan, Tianchen Deng, Jingchuan Wang, Weidong Chen	PDF	N/A
PartSTAD: 2D-to-3D Part Segmentation Task Adaptation	Hyunjin Kim, Minhyuk Sung*	PDF	N/A
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation	Rajeev Yasarla*, Manish Kumar Singh, Hong Cai, Yunxiao Shi, Jisoo Jeong, Yinhao Zhu, Shizhong Han, Risheek Garrepalli, Fatih Porikli	PDF	N/A
LLM as Copilot for Coarse-grained Vision-and-Language Navigation	Yanyuan Qiao*, Qianyi Liu, Jiajun Liu, Jing Liu, Qi Wu	PDF	N/A
Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal	Yeying Jin, Xin Li, Jiadong Wang, Yan Zhan, Malu Zhang	PDF	N/A
Unsupervised Moving Object Segmentation with Atmospheric Turbulence	Dehao Qin*, Ripon k Saha, Woojeh Chung, Suren Jayasuriya, Jinwei Ye, Nianyi Li	PDF	N/A
AccDiffusion: An Accurate Method for Higher-Resolution Image Generation	Zhihang Lin, Mingbao Lin, Meng Zhao, Rongrong Ji*	PDF	N/A
Uncertainty-Driven Spectral Compressive Imaging with Spatial-Frequency Transformer	Lintao Peng, Siyu Xie, Liheng Bian*	PDF	N/A
CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering	Haidong Zhu, Tianyu Ding*, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang	PDF	N/A
MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping	Jiacheng Chen, Yuefan Wu, Jiaqi Tan, Hang Ma, Yasutaka Furukawa	PDF	N/A
Image Demoireing in RAW and sRGB Domains	Shuning Xu, Binbin Song, Xiangyu Chen, Xina Liu, Jiantao Zhou*	PDF	N/A
LiDAR-Event Stereo Fusion with Hallucinations	Luca Bartolomei, Matteo Poggi, Andrea Conti, Stefano Mattoccia	PDF	N/A
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs	Sirnam Swetha*, Jinyu Yang, Tal Neiman, Mamshad Nayeem Rizve, Son Tran, Benjamin Yao, Trishul A Chilimbi, Mubarak Shah	PDF	N/A
Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection	Haoyue Shi, Le Wang*, Sanping Zhou, Gang Hua, Wei Tang	PDF	N/A
Revisiting Supervision for Continual Representation Learning	Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski	PDF	N/A
FLAT: Flux-aware Imperceptible Adversarial Attacks on 3D Point Clouds	Keke Tang, Lujie Huang, Weilong Peng*, Daizong Liu, Xiaofei Wang, Yang Ma, Ligang Liu, Zhihong Tian	PDF	N/A
MMBENCH: Is Your Multi-Modal Model an All-around Player?	Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, Wangbo Zhao, Yike Yuan, Jiaqi Wang, Conghui He, Ziwei Liu, Kai Chen, Dahua Lin	PDF	N/A
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds	Shengtao Li*, Ge Gao, Yudong Liu, Ming Gu, Yu-Shen Liu	PDF	N/A
Unsupervised Exposure Correction	Ruodai Cui*, Li Niu, Guosheng Hu	PDF	N/A
Anytime Continual Learning for Open Vocabulary Classification	Zhen Zhu, Yiming Gong, Derek Hoiem	PDF	N/A
External Knowledge Enhanced 3D Scene Generation from Sketch	Zijie Wu, Mingtao Feng*, Yaonan Wang, He Xie, Weisheng Dong, Bo Miao, Ajmal Mian	PDF	N/A
G3R: Gradient Guided Generalizable Reconstruction	Yun Chen, Jingkang Wang, Ze Yang, Sivabalan Manivasagam, Raquel Urtasun*	PDF	N/A
DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting	Shijie Zhou*, Zhiwen Fan, Dejia Xu, Haoran Chang, Pradyumna Chari, Tejas K Bharadwaj, Suya You, Zhangyang Wang, Achuta Kadambi	PDF	N/A
Frequency-Spatial Entanglement Learning for Camouflaged Object Detection	Yanguang Sun, Chunyan Xu, Jian Yang, Hanyu Xuan, Lei Luo	PDF	N/A
VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions	Seokha Moon, Hyun Woo, Hongbeen Park, Haeji Jung, Reza Mahjourian, Hyung-gun Chi, Hyerin Lim, Sangpil Kim, Jinkyu Kim*	PDF	N/A
Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective	Panjian Huang, Yunjie Peng, Saihui Hou, Chunshui Cao, Xu Liu, Zhiqiang He, Yongzhen Huang	PDF	N/A
EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis	Shuai Tan, Bin Ji, Mengxiao Bi, ye pan	PDF	N/A
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models	Chuofan Ma, Yi Jiang, Jiannan Wu, Zehuan Yuan, Xiaojuan Qi*	PDF	N/A
On the Utility of 3D Hand Poses for Action Recognition	Md Salman Shamil, Dibyadip Chatterjee, Fadime Sener, Shugao Ma, Angela Yao	PDF	N/A
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding	Jincen Jiang, Qianyu Zhou, Yuhang Li, Xuequan Lu, Meili Wang, Lizhuang Ma, Jian Chang, Jian Jun Zhang	PDF	N/A
Operational Open-Set Recognition and PostMax Refinement	Steve Cruz*, Ryan Rabinowitz, Manuel Günther, Terrance E. Boult	PDF	N/A
ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation	Zhiyuan Ma*, Yuxiang Wei, Yabin Zhang, Xiangyu Zhu, Zhen Lei, Lei Zhang	PDF	N/A
SINDER: Repairing the Singular Defects of DINOv2	Haoqi Wang, Tong Zhang, Mathieu Salzmann*	PDF	N/A
"SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow"	Yihan Wang*, Lahav O Lipson, Jia Deng	PDF	N/A
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation	Bochao Liu, Pengju Wang, Shiming Ge*	PDF	N/A
General and Task-Oriented Video Segmentation	Mu Chen, Liulei Li, Wenguan Wang, Ruijie Quan, Yi Yang*	PDF	N/A
VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement	Hanjung Kim, Jaehyun Kang, Miran Heo, Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim*	PDF	N/A
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors	Saksham Suri*, Matthew Walmer, Kamal Gupta, Abhinav Shrivastava	PDF	N/A
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback	Ming Li*, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen	PDF	N/A
TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-Spoofing	Xudong Wang, Ke-Yue Zhang, Taiping Yao, Qianyu Zhou, Shouhong Ding, Pingyang Dai, Rongrong Ji	PDF	N/A
Prompting Future Driven Diffusion Model for Hand Motion Prediction	Bowen Tang, Kaihao Zhang, Wenhan Luo*, Wei Liu, HONGDONG LI	PDF	N/A
Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics	Shuai Yang, ZhiFei Chen, Pengguang Chen, Xi Fang, Yixun Liang, Shu Liu, Yingcong Chen	PDF	N/A
Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement	Kun Zhou*, Xinyu Lin, Wenbo Li, Xiaogang Xu, Yuanhao Cai, Zhonghang Liu, Xiaoguang Han, Jiangbo Lu	PDF	N/A
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation	Li Li*, Hubert P. H. Shum, Toby P Breckon	PDF	N/A
UMBRAE: Unified Multimodal Brain Decoding	Weihao Xia*, Raoul de Charette, A. Cengiz Oztireli, Jing-Hao Xue	PDF	N/A
NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models	Gengze Zhou*, Yicong Hong, Zun Wang, Xin Eric Wang, Qi Wu	PDF	N/A
3D Single-object Tracking in Point Clouds with High Temporal Variation	Qiao Wu, Kun Sun, Pei An, Mathieu Salzmann, Yanning Zhang, Jiaqi Yang*	PDF	N/A
Adaptive Multi-task Learning for Few-shot Object Detection	Yan Ren*, Yanling Li, Adams Wai-Kin Kong	PDF	N/A
Event Trojan: Asynchronous Event-based Backdoor Attacks	Ruofei Wang, Qing Guo, Haoliang Li, Renjie Wan	PDF	N/A
Stepwise Multi-grained Boundary Detector for Point-supervised Temporal Action Localization	Mengnan Liu, Le Wang*, Sanping Zhou, Kun Xia, Qi Wu, Qilin Zhang, Gang Hua	PDF	N/A
Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems	Ziyuan Luo, Boxin Shi, Haoliang Li, Renjie Wan*	PDF	N/A
Dropout Mixture Low-Rank Adaptation for Visual Parameters-Efficient Fine-Tuning	Zhengyi Fang, Yue Wang, Ran Yi*, Lizhuang Ma	PDF	N/A
OneTrack: Demystifying the Conflict Between Detection and Tracking in End-to-End 3D Trackers	Qitai Wang, Jiawei He, Yuntao Chen, Zhaoxiang Zhang*	PDF	N/A
LoA-Trans: Enhancing Visual Grounding by Location-Aware Transformers	Ziling Huang*, Shin'ichi Satoh	PDF	N/A
HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression	Yihang Chen, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai	PDF	N/A
Energy-induced Explicit quantification for Multi-modality MRI fusion	Xiaoming Qi, Yuan Zhang, Tong Wang, Guanyu Yang, Yueming Jin*, Shuo Li	PDF	N/A
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement	Muhammad Atif Butt*, Kai Wang, Javier Vazquez-Corral, Joost van de Weijer	PDF	N/A
Exemplar-free Continual Representation Learning via Learnable Drift Compensation	Alex Gomez-Villa*, Dipam Goswami, Kai Wang, Andy Bagdanov, Bartlomiej Twardowski, Joost van de Weijer	PDF	N/A
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Object Appearance Graphs	Mattia Segù*, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele	PDF	N/A
Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition	Sumin Lee*, Yooseung Wang, Sangmin Woo, Changick Kim	PDF	N/A
DiffiT: Diffusion Vision Transformers for Image Generation	Ali Hatamizadeh*, Jiaming Song, Guilin Liu, Jan Kautz, Arash Vahdat	PDF	N/A
WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation	Zirui Shao, Feiyu Gao, Hangdi Xing, Zepeng Zhu, Zhi Yu*, Jiajun Bu, Qi Zheng, Cong Yao	PDF	N/A
GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding	Changshuo Wang*, Meiqing Wu, Siew-Kei Lam, Xin Ning, Shangshu Yu, Ruiping Wang, Weijun Li, Thambipillai Srikanthan	PDF	N/A
FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis	Ke Fan, Junshu Tang, Weijian Cao, Ran Yi, Moran Li, Jingyu Gong, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Lizhuang Ma	PDF	N/A
FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection	Zheng Jiang, Jinqing Zhang, Yanan Zhang, Qingjie Liu, Zhenghui HU, Baohui Wang, Yunhong Wang	PDF	N/A
SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs	Yang Miao, Francis Engelmann, Olga Vysotska, Federico Tombari, Marc Pollefeys, Daniel Barath*	PDF	N/A
ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities	Chenming Zhu, Tai Wang, Wenwei Zhang, Kai Chen, Xihui Liu*	PDF	N/A
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?	Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li*	PDF	N/A
See and Think: Embodied Agent in Virtual Environment	Zhonghan Zhao, Xuan Wang, Wenhao Chai, Boyi Li, Shengyu Hao, Shidong Cao, Tian Ye, Gaoang Wang*	PDF	N/A
PISR: Polarimetric Neural Implicit Surface Reconstruction for Textureless and Specular Objects	Guangcheng Chen*, Yicheng He, Li He, Hong Zhang	PDF	N/A
Bridging the Gap Between Human Motion and Action Semantics via Kinematics Phrases	Xinpeng Liu, Yong-Lu Li, Ailing Zeng, Zizheng Zhou, Yang You, Cewu Lu	PDF	N/A
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding	Ofir Abramovich, Niv Nayman, Sharon Fogel, Inbal Lavi, Ron Litman, Shahar Tsiper, Royee Tichauer, Srikar Appalaraju, Shai Mazor, R. Manmatha	PDF	N/A
Masked Angle-Aware Autoencoder for Remote Sensing Images	Zhihao Li*, Biao Hou, Siteng Ma, zitong wu, Xianpeng Guo, bo ren, Licheng Jiao	PDF	N/A
Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm	Yi Wu, Ziqiang Li, Heliang Zheng, Chaoyue Wang, Bin Li	PDF	N/A
MultiGen: Zero-shot Image Generation from Multi-modal Prompts	Zhi-Fan Wu*, Lianghua Huang, Wei Wang, Yanheng Wei, Yu Liu	PDF	N/A
GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths	Xianyu Chen, Ming Jiang, Qi Zhao	PDF	N/A
Learning Chain of Counterfactual Thought for Bias-Robust Vision-Language Reasoning	Yifeng Zhang, Ming Jiang, Qi Zhao*	PDF	N/A
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis	Hanrong Ye, Jason Kuen, Qing Liu, Zhe Lin, Brian Price, Dan Xu	PDF	N/A
Sync from the Sea: Retrieving Alignable Videos from Large-Scale Datasets	Ishan Rajendrakumar Dave, Fabian Caba, Mubarak Shah, Simon Jenni	PDF	N/A
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition	Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Mubarak Shah	PDF	N/A
Elegantly Written: Disentangling Writer and Character Styles for Enhancing Online Chinese Handwriting	Yu Liu, Fatimah binti Khalid, Lei Wang, Youxi Zhang, Cunrui Wang*	PDF	N/A
UniCode : Learning a Unified Codebook for Multimodal Large Language Models	Sipeng Zheng, Bohan Zhou, Yicheng Feng, Ye Wang, Zongqing Lu	PDF	N/A
When Do We Not Need Larger Vision Models?	Baifeng Shi*, Ziyang Wu, Maolin Mao, Xin Wang, Trevor Darrell	PDF	N/A
GVGEN: Text-to-3D Generation with Volumetric Representation	Xianglong He, Junyi Chen, Sida Peng, Di Huang, Yangguang Li, Xiaoshui Huang, Chun Yuan, Wanli Ouyang, Tong He	PDF	N/A
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model	Zhening Liu, Xinjie Zhang, Jiawei Shao, Zehong Lin*, Jun Zhang	PDF	N/A
"UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation"	Yunfan Lu, Guoqiang Liang, Yusheng Wang, Lin Wang, Hui Xiong	PDF	N/A
ReLoo: Reconstructing Humans Dressed in Loose Garments from Monocular Video in the Wild	Chen Guo, Tianjian Jiang, Manuel Kaufmann, Chengwei Zheng, Julien Valentin, Jie Song, Otmar Hilliges	PDF	N/A
Weakly-supervised Camera Localization by Ground-to-satellite Image Registration	Yujiao Shi*, HONGDONG LI, Akhil Perincherry, Ankit Vora	PDF	N/A
Dataset Growth	Ziheng Qin, zhaopan xu, YuKun Zhou, Kai Wang, Zangwei Zheng, Zebang Cheng, Hao Tang, Lei Shang, Baigui Sun, Radu Timofte, Xiaojiang Peng, Hongxun Yao, Yang You	PDF	N/A
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References	Lukas Bösiger*, Mihai Dusmanu, Marc Pollefeys, Zuria Bauer	PDF	N/A
Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint	Sixiang Chen, Tian Ye, Kai Zhang, Zhaohu Xing, Yunlong Lin, Lei Zhu*	PDF	N/A
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration	Yulin Ren, Xin Li, Bingchen Li, Xingrui Wang, Mengxi China Guo, Shijie Zhao, Li Zhang, Zhibo Chen	PDF	N/A
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning	Bolin Lai*, Xiaoliang Dai, Lawrence Chen, Guan Pang, James M Rehg, Miao Liu	PDF	N/A
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant	Guohao Sun*, Can Qin, JIAMINAN WANG, Zeyuan Chen, Ran Xu, Zhiqiang Tao	PDF	N/A
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation	Yujin Chen*, Yinyu Nie, Benjamin Ummenhofer, Reiner Birkl, Michael Paulitsch, Matthias Müller, Matthias Niessner	PDF	N/A
Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation	Bolin Lai*, Fiona Ryan, Wenqi Jia, Miao Liu, James M Rehg	PDF	N/A
R^2-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations	Xiang Li*, Kai Qiu, Jinglu Wang, Xiaohao Xu, Kashu Yamazaki, Hao Chen, Rita Singh, Xiaonan Huang, Bhiksha Raj	PDF	N/A
Self-supervised co-salient object detection via feature correspondences at multiple scales	Souradeep Chakraborty*, Dimitris Samaras	PDF	N/A
Differentiable Convex Polyhedra Optimization from Multi-view Images	Daxuan Ren*, Haiyi Mei, Hezi Shi, Jianmin Zheng, Jianfei Cai, Lei Yang	PDF	N/A
SlotLifter: Slot-guided Feature Lifting for Learning Object-Centric Radiance Fields	Yu Liu, Baoxiong Jia*, Yixin Chen, Siyuan Huang	PDF	N/A
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding	Baoxiong Jia*, Yixin Chen, Huangyue Yu, Yan Wang, Xuesong Niu, Tengyu Liu, Qing Li, Siyuan Huang	PDF	N/A
ADMap: Anti-disturbance Framework for Vectorized HD Map Construction	Haotian Hu, Fanyi Wang, Yaonong Wang, Laifeng Hu, Jingwei Xu, Zhiwang Zhang	PDF	N/A
GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting	Xinjie Zhang, Xingtong Ge, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Guo Lu, Jing Geng, Jun Zhang	PDF	N/A
PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation	Shilin Yan, Xiaohao Xu, Renrui Zhang, Lingyi Hong, wenchao chen, Wenqiang Zhang, Wei Zhang	PDF	N/A
Evaluating Text-to-Visual Generation with Image-to-Text Generation	Zhiqiu Lin*, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan	PDF	N/A
SENC: Handling Self-collision in Neural Cloth Simulation	Zhouyingcheng Liao*, Sinan Wang, Taku Komura	PDF	N/A
HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation	Shanyan Guan, Yanhao Ge, Ying Tai, Jian Yang, Wei Li, Mingyu You	PDF	N/A
PartCraft: Crafting Creative Objects by Parts	Kam Woh Ng*, Xiatian Zhu, Yi-Zhe Song, Tao Xiang	PDF	N/A
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields	Xiufeng HUANG, Ka Chun Cheung, Simon See, Renjie Wan	PDF	N/A
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation	Yizhe Xiong, Hui Chen*, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding	PDF	N/A
FineMatch: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction	Hang Hua*, Jing Shi, Kushal Kafle, Simon Jenni, Daoan Zhang, John Collomosse, Scott Cohen, Jiebo Luo	PDF	N/A
CrossScore: A Multi-View Approach to Image Evaluation and Scoring	Zirui Wang*, Wenjing Bian, Victor Adrian Prisacariu	PDF	N/A
Modeling and Driving Human Body Soundfields through Acoustic Primitives	Chao Huang, Dejan Markovic, Chenliang Xu, Alexander Richard	PDF	N/A
m&m’s: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks	Zixian Ma*, Weikai Huang, Jieyu Zhang, Tanmay Gupta, Ranjay Krishna	PDF	N/A
Label-anticipated Event Disentanglement for Audio-Visual Video Parsing	Jinxing Zhou, Dan Guo, Yuxin Mao, Yiran Zhong, Xiaojun Chang, Meng Wang*	PDF	N/A
High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding	Qi Zuo*, Xiaodong Gu, Yuan Dong, Zhengyi Zhao, Weihao Yuan, Qiu Lingteng, Liefeng Bo, Zilong Dong	PDF	N/A
Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization	Hongtao Wu, Angelica I Aviles-Rivero, Yijun Yang, Jingjing Ren, Sixiang Chen, Haoyu Chen, Lei Zhu*	PDF	N/A
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything	Xiaobao Wei, Jiajun Cao, Yizhu Jin, Ming Lu, Guangyu Wang, Shanghang Zhang*	PDF	N/A
ReMamber: Referring Image Segmentation with Mamba Twister	Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong, Ya Zhang, Yanfeng Wang	PDF	N/A
TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting	Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu	PDF	N/A
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios	Qilang Ye, Zitong Yu*, Rui Shao, Xinyu Xie, Philip Torr, Xiaochun Cao	PDF	N/A
Segmentation-guided Layer-wise Image Vectorization with Gradient Fills	Hengyu Zhou, Hui Zhang, Bin Wang	PDF	N/A
Implicit Style-Content Separation using B-LoRA	Yarden Frenkel*, Yael Vinker, Ariel Shamir, Danny Cohen-Or	PDF	N/A
OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models	Zijian Zhou, Zheng Zhu, Holger Caesar, Miaojing Shi	PDF	N/A
ActionVOS: Actions as Prompts for Video Object Segmentation	Liangyang Ouyang, Ruicong Liu, Yifei Huang, Ryosuke Furuta, Yoichi Sato*	PDF	N/A
FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance	Jiedong Zhuang, Jiaqi Hu, Lianrui Mu, Rui Hu, Xiaoyu Liang, Jiangnan Ye, Haoji Hu*	PDF	N/A
U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation	li zhang*, Weiqing Meng, Yan Zhong, Bin Kong, Mingliang Xu, Jianming Du, Xue Wang, Rujing Wang, Liu Liu	PDF	N/A
Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization	Naiyu Yin*, Hanjing Wang, Yue Yu, Tian Gao, Amit Dhurandhar, Qiang Ji	PDF	N/A
Rotary Position Embedding for Vision Transformer	Byeongho Heo*, Song Park, Dongyoon Han, Sangdoo Yun	PDF	N/A
Local All-Pair Correspondence for Point Tracking	Seokju Cho, Jiahui Huang, Jisu Nam, Honggyu An, Seungryong Kim, Joon-Young Lee	PDF	N/A
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection	Youngmin Oh, Hyung-Il Kim, Seong Tae Kim, Jung Uk Kim	PDF	N/A
ReALFRED: An Embodied Instruction Following Benchmark in Photo-Realistic Environments	Taewoong Kim, Cheolhong Min, Byeonghwi Kim, Jinyeon Kim, Wonje Jeung, Jonghyun Choi*	PDF	N/A
S^3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis	Dongze Li, Kang Zhao, Wei Wang*, Yifeng Ma, Bo Peng, Yingya Zhang, Jing Dong	PDF	N/A
ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos	Hyolim Kang, Jeongseok Hyun, Joungbin An, Youngjae Yu, Seon Joo Kim*	PDF	N/A
Hierarchically Structured Neural Bones for Reconstructing Animatable Objects from Casual Videos	Subin Jeon, In Cho, Minsu Kim, Woong Oh Cho, Seon Joo Kim*	PDF	N/A
PQ-SAM: Post-training Quantization for Segment Anything Model	Xiaoyu Liu, Xin Ding, Lei Yu, Yuanyuan Xi, Wei Li, Zhijun Tu, jie hu, Hanting Chen, Baoqun YIN, Zhiwei Xiong	PDF	N/A
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation	Yuanhong Chen*, Chong Wang, Yuyuan Liu, Hu Wang, Gustavo Carneiro	PDF	N/A
Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition	Shreyank N Gowda*, Anurag Arnab, Jonathan Huang	PDF	N/A
DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment	Jiuming Liu, Dong Zhuo, Zhiheng Feng, Siting Zhu, Chensheng Peng, Zhe Liu, Hesheng Wang*	PDF	N/A
CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing	Faegheh Sardari*, Armin Mustafa, Philip JB Jackson, Adrian Hilton	PDF	N/A
Noise-assisted Prompt Learning for Image Forgery Detection and Localization	Dong Li, Jiaying Zhu, Xueyang Fu*, Xun Guo, Yidi Liu, Gang Yang, Jiawei Liu, Zheng-Jun Zha	PDF	N/A
Data Collection-free Masked Video Modeling	Yuchi Ishikawa*, Masayoshi Kondo, Yoshimitsu Aoki	PDF	N/A
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model	Qi Song*, Ziyuan Luo, Ka Chun Cheung, Simon See, Renjie Wan	PDF	N/A
Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization	Tao Yang*, Rongyuan Wu, Peiran Ren, Xuansong Xie, Lei Zhang	PDF	N/A
AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation	Yanan Sun*, Yanchen Liu, Yinhao Tang, Wenjie Pei, Kai Chen	PDF	N/A
SEED: A Simple and Effective 3D DETR in Point Clouds	Zhe Liu, Jinghua Hou, Xiaoqing Ye, Tong Wang, Jingdong Wang, Xiang Bai*	PDF	N/A
AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion	Zhiheng Fu, Longguang Wang, Lian Xu, Zhiyong Wang, Hamid Laga, Yulan Guo*, Farid Boussaid, Mohammed Bennamoun	PDF	N/A
Synergy of Sight and Semantics: Visual Intention Understanding with CLIP	Qu Yang, Mang Ye*, Dacheng Tao	PDF	N/A
Intrinsic Single-Image HDR Reconstruction	Sebastian Dille, Chris Careaga, Yagiz Aksoy	PDF	N/A
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning	Weijie Wei, Fatemeh Karimi Nejadasl, Theo Gevers, Martin R. Oswald	PDF	N/A
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification	Linhao Qu, Dingkang Yang, Dan Huang, Qinhao Guo, rongkui luo, Shaoting Zhang, Xiaosong Wang	PDF	N/A
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching	Meng Chu, Zhedong Zheng*, Wei Ji, Tingyu Wang, Tat-Seng Chua	PDF	N/A
BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models	Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Tae-Hyun Oh*	PDF	N/A
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene	Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng	PDF	N/A
DATENeRF: Depth-Aware Text-based Editing of NeRFs	Sara Rojas Martinez*, Julien Philip, Kai Zhang, Sai Bi, Fujun Luan, Bernard Ghanem, Kalyan Sunkavalli	PDF	N/A
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution	Qu Yunpeng*, Kun Yuan, Kai Zhao, Qizhi Xie, Jinhua Hao, Ming Sun, Chao Zhou	PDF	N/A
ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting	Michael A Hobley*, Victor Adrian Prisacariu	PDF	N/A
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery	Grzegorz Rypeść*, Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski	PDF	N/A
LaRa: Efficient Large-Baseline Radiance Fields	Anpei Chen*, Haofei Xu, Stefano Esposito, Siyu Tang, Andreas Geiger	PDF	N/A
Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement	Haodong LI, Hao LU, Yingcong Chen	PDF	N/A
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment	Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Jianguo Li, Xiaohui Liang*	PDF	N/A
Grounding Language Models for Visual Entity Recognition	Zilin Xiao, Ming Gong, Paola Cascante-Bonilla, Xingyao Zhang, Jie Wu, Vicente Ordonez	PDF	N/A
ELSE: Efficient Deep Neural Network Inference through Line-based Sparsity Exploration	Zeqi Zhu*, Alberto Garcia-Ortiz, Luc Waeijen, Egor Bondarev, Arash Pourtaherian, Orlando Moreira	PDF	N/A
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation	Yiqun Duan, Xianda Guo, Zheng Zhu	PDF	N/A
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation	Wenliang Zhao, Haolin Wang, Jie Zhou, Jiwen Lu*	PDF	N/A
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos	Yufu Wang*, Ziyun Wang, Lingjie Liu, Kostas Daniilidis	PDF	N/A
MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection	Ziyue Huang, Yongchao Feng, Qingjie Liu*, Yunhong Wang	PDF	N/A
Self-Supervised Video Copy Localization with Regional Token Representation	Minlong Lu*, Yichen Lu, Siwei Nie, Xudong Yang, Xiaobo Zhang	PDF	N/A
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models	Claudio Rota*, Marco Buzzelli, Joost van de Weijer	PDF	N/A
RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF	Sibi Catley-Chandar*, Richard Shaw, Gregory Slabaugh, Eduardo Pérez Pellitero	PDF	N/A
Bridging the Gap: Studio-like Avatar Creation from a Monocular Phone Capture	ShahRukh Athar*, Shunsuke Saito, Stanislav Pidhorskyi, Zhengyu Yang, Chen Cao	PDF	N/A
ControlLLM: Augment Language Models with Tools by Searching on Graphs	Zhaoyang Liu, Zeqiang Lai, Zhangwei Gao, erfei cui, Ziheng Li, Xizhou Zhu, Lewei Lu, Qifeng Chen, Yu Qiao, Jifeng Dai, Wenhai Wang	PDF	N/A
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction	Lan Feng, Mohammadhossein Bahari*, Kaouther Messaoud, Eloi Zablocki, Matthieu Cord, Alexandre Alahi	PDF	N/A
DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors	Zizheng Yan, Jiapeng Zhou, Fanpeng Meng, Yushuang Wu, Lingteng Qiu, Zisheng Ye, Shuguang Cui, Guanying CHEN, Xiaoguang Han	PDF	N/A
Vamos: Versatile Action Models for Video Understanding	Shijie Wang*, Qi Zhao, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun	PDF	N/A
Prioritized Semantic Learning for Zero-shot Instance Navigation	xinyu sun, Lizhao Liu, Hongyan Zhi, Ronghe Qiu, Junwei Liang	PDF	N/A
RoadPainter: Points Are Ideal Navigators for Topology transformER	Zhongxing Ma, Liang Shuang, Yongkun Wen, Weixin Lu, Guowei Wan*	PDF	N/A
FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis	Linjiang Huang, Rongyao Fang, Aiping Zhang, Guanglu Song, Si Liu, Yu Liu, Hongsheng Li	PDF	N/A
Can OOD Object Detectors Learn from Foundation Models?	Jiahui Liu, Xin Wen, Shizhen Zhao, Yingxian Chen, Xiaojuan Qi	PDF	N/A
Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion	Xiang Fan*, Anand Bhattad, Ranjay Krishna	PDF	N/A
MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo	Ashish Tiwari*, Satoshi Ikehata, Shanmuganathan Raman	PDF	N/A
Boosting 3D Single Object Tracking with 2D Matching Distillation and 3D Pre-training	Qiangqiang Wu, Yan Xia*, Jia Wan, Antoni Chan	PDF	N/A
Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt Interpolation	Junsung Lee, Minsoo Kang, Bohyung Han*	PDF	N/A
Real-data-driven 2000 FPS Color Video from Mosaicked Chromatic Spikes	Siqi Yang*, Zhaojun Huang, Yakun Chang, Bin Fan, Zhaofei Yu, Boxin Shi	PDF	N/A
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging	Peirong Liu*, Oula Puonti, Xiaoling Hu, Daniel C. Alexander, Juan E. Iglesias	PDF	N/A
TTT-MIM: Test-Time Training with Masked Image Modeling for Denoising Distribution Shifts	Youssef Mansour*, Xuyang Zhong, Serdar Caglar, Reinhard Heckel	PDF	N/A
RadEdit: stress-testing biomedical vision models via diffusion image editing	Fernando Pérez-García, Sam Bond-Taylor, Pedro Sanchez, Boris van Breugel, Daniel Coelho de Castro, Harshita Sharma, Valentina Salvatelli, Maria Teodora A Wetscherek, Hannah CM Richardson, Lungren Matthew, Aditya Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse*	PDF	N/A
SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow	Orcun Cetintas*, Tim Meinhardt, Guillem Brasó, Laura Leal-Taixé	PDF	N/A
AdaDiffSR: Adaptive Region-aware Dynamic acceleration Diffusion Model for Real-World Image Super-Resolution	Yuanting Fan, Chengxu Liu, Nengzhong Yin, Changlong Gao, Xueming Qian*	PDF	N/A
Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion	Xu Hang, Chen Long, Wenxiao Zhang*, Yuan Liu, Zhen Cao, Zhen Dong, Bisheng Yang	PDF	N/A
Towards Real-world Event-guided Low-light Video Enhancement and Deblurring	Taewoo Kim, Jaeseok Jeong, Hoonhee Cho, Yuhwan Jeong, Kuk-Jin Yoon*	PDF	N/A
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation	Xuelu Feng, Dongdong Chen, Junsong Yuan, Chunming Qiao, Gang Hua, Zixin Zhu*	PDF	N/A
TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks	Jinjie Mai*, Wenxuan Zhu, Sara Rojas, Jesus Zarzar, Abdullah Hamdi, Guocheng Qian, Bing Li, Silvio Giancola, Bernard Ghanem	PDF	N/A
COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation	Liu He*, Daniel Aliaga	PDF	N/A
Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography	Kailai Zhou, Lijing Cai, Yibo Wang, Mengya Zhang, Bihan Wen, Qiu Shen, Xun Cao	PDF	N/A
SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding	Han Xiao, Wenzhao Zheng, Sicheng Zuo, Peng Gao, Jie Zhou, Jiwen Lu*	PDF	N/A
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving	Wenzhao Zheng, Weiliang Chen, Yuanhui Huang, Borui Zhang, Yueqi Duan, Jiwen Lu*	PDF	N/A
MyVLM: Personalizing VLMs for User-Specific Queries	Yuval Alaluf*, Elad Richardson, Sergey Tulyakov, Kfir Aberman, Danny Cohen-Or	PDF	N/A
AMEGO: Active Memory from long EGOcentric videos	Gabriele Goletto*, Tushar Nagarajan, Giuseppe Averta, Dima Damen	PDF	N/A
Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment	Simon Weber*, Je Hyeong Hong, Daniel Cremers	PDF	N/A
Collaborative Control for Geometry-Conditioned PBR Image Generation	Shimon Vainer, Mark Boss, Mathias Parger, Konstantin Kutsy, Dante De Nigris, Ciara Rowles, Nicolas Perony, Simon Donné*	PDF	N/A
Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion Model	Seonghui Min, Hyun-Jic Oh, Won-Ki Jeong*	PDF	N/A
One-stage Prompt-based Continual Learning	Youngeun Kim*, Yuhang Li, Priyadarshini Panda	PDF	N/A
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images	Nir Barel, Ron A Shapira Weber, Nir Mualem, Shahaf E Finder, Oren Freifeld*	PDF	N/A
APL: Anchor-based Prompt Learning for One-stage Weakly Supervised Referring Expression Comprehension	Yaxin Luo, Jiayi Ji, Xiaofu Chen, Yuxin Zhang, Tianhe Ren, Gen Luo*	PDF	N/A
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data	Yuhang Li*, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda	PDF	N/A
MVDD: Multi-View Depth Diffusion Models	Zhen Wang*, Qiangeng Xu, Feitong Tan, Menglei Chai, Shichen Liu, Rohit Pandey, Sean Fanello, Achuta Kadambi, Yinda Zhang	PDF	N/A
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data	Wufei Ma*, Kai Li, Zhongshi Jiang, Moustafa Meshry, Qihao Liu, Huiyu Wang, Christian Haene, Alan Yuille	PDF	N/A
Risk-Aware Self-Consistent Imitation Learning for Trajectory Planning in Autonomous Driving	Yixuan Fan, Ya-Li Li, Shengjin Wang	PDF	N/A
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation	Ruijie Xu*, CHUYU ZHANG, Hui Ren, Xuming He	PDF	N/A
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models	Eungbean Lee, Somi Jeong, Kwanghoon Sohn*	PDF	N/A
DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators	Hanyang Kong, Dongze Lian, Michael Bi Mi, Xinchao Wang	PDF	N/A
Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation	Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, David Yau, Jun Liu*	PDF	N/A
SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer	Zijie Wu, Chaohui Yu, Yanqin Jiang, Chenjie Cao, Fan Wang, Xiang Bai	PDF	N/A
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks	Cheeun Hong, Kyoung Mu Lee*	PDF	N/A
Large Motion Model for Unified Multi-Modal Motion Generation	Mingyuan Zhang, Daisheng Jin, Chenyang Gu, Fangzhou Hong, Zhongang Cai, Jingfang Huang, Chongzhi Zhang, Xinying Guo, Lei Yang, Ying He, Ziwei Liu	PDF	N/A
FisherRF: Active View Selection and Mapping with Radiance Fields using Fisher Information	Wen Jiang, BOSHU LEI, Kostas Daniilidis	PDF	N/A
Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding	Niloofar Azizi*, Mohsen Fayyaz, Horst Bischof	PDF	N/A
Gradient-based Out-of-Distribution Detection	Taha Entesari, Sina Sharifi, Bardia Safaei*, Vishal Patel, Mahyar Fazlyab	PDF	N/A
Event-based Mosaicing Bundle Adjustment	Shuang Guo*, Guillermo Gallego	PDF	N/A
ProMerge: Prompt and Merge for Unsupervised Instance Segmentation	Dylan J Li, Gyungin Shin*	PDF	N/A
M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models	Seunggeun Chi, Hyung-gun Chi, Hengbo Ma, Nakul Agarwal, Faizan Siddiqui, Karthik Ramani, Kwonjoon Lee*	PDF	N/A
The Hard Positive Truth about Vision-Language Compositionality	Amita Kamath*, Cheng-Yu Hsieh, Kai-Wei Chang, Ranjay Krishna	PDF	N/A
GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing	Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian Reid, Philip Torr, Victor Adrian Prisacariu	PDF	N/A
Shapefusion: 3D localized human diffusion models	Rolandos Alexandros Potamias*, Michael Tarasiou, Stylianos Ploumpis, Stefanos Zafeiriou	PDF	N/A
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing	Wonjun Kang, Kevin Galim, Hyung Il Koo*	PDF	N/A
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning	Wentao Bao*, Lichang Chen, Heng Huang, Yu Kong	PDF	N/A
Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment	Mengting Chen*, Xi Chen, Zhonghua Zhai, Chen Ju, Xuewen Hong, Jinsong Lan, Shuai Xiao	PDF	N/A
3iGS: Factorised Tensorial Illumination for 3D Gaussian Splatting	Zhe Jun Tang*, Tat-Jen Cham	PDF	N/A
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels	Jae Soon Baik, In Young Yoon, Kun Hoon Kim, Jun Won Choi	PDF	N/A
Free-Viewpoint Video of Outdoor Sports Using a Drone	Zhengdong Hong*	PDF	N/A
Wavelength-Embedding-guided Filter-Array Transformer for Spectral Demosaicing	Haijin Zeng*, Hiep Luong, Wilfried Philips	PDF	N/A
ConGeo: Robust Cross-view Geo-localization across Ground View Variations	Li Mi, Chang Xu*, Javiera Castillo Navarro, SYRIELLE MONTARIOL, Wen Yang, Antoine Bosselut, Devis Tuia	PDF	N/A
Generalizable Facial Expression Recognition	Yuhang Zhang, Xiuqi Zheng, Chenyi Liang, Jiani Hu*, Weihong Deng	PDF	N/A
GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views	Vinayak Gupta*, Rongali Simhachala Venkata Girish, Mukund Varma T, Ayush Tewari, Kaushik Mitra	PDF	N/A
Self-Supervised Any-Point Tracking by Contrastive Random Walks	Ayush Shrivastava*, Andrew Owens	PDF	N/A
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization	Tianchen Zhao*, Xuefei Ning, Tongcheng Fang, Enshu Liu, Guyue Huang, Zinan Lin, Shengen Yan, Guohao Dai, Yu Wang	PDF	N/A
Siamese Vision Transformers are Scalable Audio-visual Learners	Yan-Bo Lin*, Gedas Bertasius	PDF	N/A
LCM-Lookahead for Encoder-based Text-to-Image Personalization	Rinon Gal*, Or Lichter, Elad Richardson, Or Patashnik, Amit Bermano, Gal Chechik, Danny Cohen-Or	PDF	N/A
Towards Architecture-Agnostic Untrained Networks Priors for Image Reconstruction with Frequency Regularization	Yilin Liu, Yunkui Pang, Jiang Li, Yong Chen, Pew-Thian Yap*	PDF	N/A
Towards Open-Ended Visual Recognition with Large Language Models	Qihang Yu*, Xiaohui Shen, Liang-Chieh Chen	PDF	N/A
Ray-Distance Volume Rendering for Neural Scene Reconstruction	Ruihong Yin*, Yunlu Chen, Sezer Karaoglu, Theo Gevers	PDF	N/A
ReNoise: Real Image Inversion Through Iterative Noising	Daniel Garibi*, Or Patashnik, Andrey Voynov, Hadar Averbuch-Elor, Danny Cohen-Or	PDF	N/A
Attention Decomposition for Cross-Domain Semantic Segmentation	Liqiang He*, Sinisa Todorovic	PDF	N/A
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation	Omer Dahary*, Or Patashnik, Kfir Aberman, Danny Cohen-Or	PDF	N/A
Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework	Jingjing Zheng, Wanglong Lu, Wenzhe Wang, Yankai Cao*, Xiaoqin Zhang, Xianta Jiang	PDF	N/A
RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models	Bowen Zhang, Yiji Cheng, Chunyu Wang*, Ting Zhang, Jiaolong Yang, Yansong Tang, Feng Zhao, Dong Chen, Baining Guo	PDF	N/A
GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation	Yinghao Xu*, Zifan Shi, Wang Yifan, Hansheng Chen, Ceyuan Yang, Sida Peng, Yujun Shen, Gordon Wetzstein	PDF	N/A
IRGen: Generative Modeling for Image Retrieval	Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo	PDF	N/A
Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality	Kyu Ri Park, Hong Joo Lee, Jung Uk Kim	PDF	N/A
FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos	Florian Maximilian Langer*, Jihong Ju, Georgi Dikov, Gerhard Reitmayr, Mohsen Ghafoorian	PDF	N/A
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting	Wouter Van Gansbeke*, Bert De Brabandere	PDF	N/A
VISA: Reasoning Video Object Segmentation via Large Language Model	Cilin Yan, Haochen Wang, Shilin Yan, Xiaolong Jiang, Yao Hu, Guoliang Kang*, Weidi Xie, Efstratios Gavves	PDF	N/A
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models	Saman Motamed*, Danda Pani Paudel, Luc Van Gool	PDF	N/A
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation	Yuanhao Zhai*, Kevin Lin, Linjie Li, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, David Doermann, Junsong Yuan, Zicheng Liu, Lijuan Wang	PDF	N/A
Scaling Backwards: Minimal Synthetic Pre-training?	Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka*	PDF	N/A
BAMM: Bidirectional Autoregressive Motion Model	Ekkasit Pinyoanuntapong*, Muhammad Usama Saleem, Pu Wang, Minwoo Lee, Srijan Das, Chen Chen	PDF	N/A
Event-based Head Pose Estimation: Benchmark and Method	Jiahui Yuan, Hebei Li, Yansong Peng, Jin Wang, Yuheng Jiang, Yueyi Zhang, Xiaoyan Sun	PDF	N/A
Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos	Ekta Prashnani*, Koki Nagano, Shalini De Mello, David P Luebke, Orazio Gallo	PDF	N/A
Towards Multi-modal Transformers in Federated Learning	Guangyu Sun*, Matias Mendieta, Aritra Dutta, Xin Li, Chen Chen	PDF	N/A
Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning	Wenke Huang, Mang Ye, zekun shi, Bo Du, Dacheng Tao	PDF	N/A
QueryCDR: Query-based Controllable Distortion Rectification Network for Fisheye Images	Pengbo Guo, Chengxu Liu, Xingsong Hou*, Xueming Qian	PDF	N/A
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics	Shishira R Maiya*, Anubhav Gupta, Matthew A Gwilliam, Max Ehrlich, Abhinav Shrivastava	PDF	N/A
DCDM: Diffusion-Conditioned-Diffusion Model for Scene Text Image Super-Resolution	Shrey Singh, Prateek Keserwani, Masakazu Iwamura, Partha Pratim Roy	PDF	N/A
Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting	Jeongmin Bae, Seoha Kim, Youngsik Yun, Hahyun Lee, Gun Bang, Youngjung Uh*	PDF	N/A
DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion	Liao Shen, Tianqi Liu, Huiqiang Sun, Xinyi Ye, Baopu Li, Jianming Zhang, Zhiguo Cao*	PDF	N/A
CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection	Shuang Hao, Chunlin Zhong, He Tang*	PDF	N/A
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning	Zhiyu Wu, Jinshi Cui	PDF	N/A
RPBG: Towards Robust Neural Point-based Graphics in the Wild	Qingtian Zhu, Zizhuang Wei, Zhongtian Zheng, Yifan Zhan, Zhuyu Yao, Jiawang Zhang, Kejian Wu, Yinqiang Zheng*	PDF	N/A
GaussReg: Fast 3D Registration with Gaussian Splatting	Jiahao Chang*, Yinglin Xu, Yihao Li, Yuantao Chen, Wensen Feng, Xiaoguang Han	PDF	N/A
Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators	Yifan Pu, Zhuofan Xia, Jiayi Guo, Dongchen Han, Qixiu Li, Duo Li, Yuhui Yuan, Ji Li, Yizeng Han, Shiji Song, Gao Huang, Xiu Li*	PDF	N/A
Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation	Pengfei Wang*, Yuxi Wang, Shuai Li, Zhaoxiang Zhang, Zhen Lei, Lei Zhang	PDF	N/A
IAM-VFI : Interpolate Any Motion for Video Frame Interpolation with motion complexity map	Kihwan Yoon, Yong Han Kim, Sungjei Kim, Jinwoo Jeong*	PDF	N/A
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data	Siyi Du, Shaoming Zheng, Yinsong Wang, Wenjia Bai, Declan P. O'Regan, Chen Qin	PDF	N/A
Diffusion Model is a Good Pose Estimator from 3D RF-Vision	Junqiao Fan, Jianfei Yang*, Yuecong Xu, Lihua Xie	PDF	N/A
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues	Vandad Davoodnia*, Saeed Ghorbani, Marc-André Carbonneau, Alexandre Messier, Ali Etemad	PDF	N/A
Learning 3D-aware GANs from Unposed Images with Template Feature Field	Xinya Chen, Hanlei Guo, Yanrui Bin, Shangzhan Zhang, Yuanbo Yang, Yujun Shen, Yue Wang, Yiyi Liao*	PDF	N/A
TAPTR: Tracking Any Point with Transformers as Detection	Hongyang Li, Hao Zhang, Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Lei Zhang	PDF	N/A
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning	Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang*	PDF	N/A
Point-supervised Panoptic Segmentation via Estimating Pseudo Labels from Learnable Distance	Jing Li, Junsong Fan, Zhaoxiang Zhang	PDF	N/A
BRAVE: Broadening the visual encoding of vision-language models	Oğuzhan Fatih Kar, Alessio Tonioni, Petra Poklukar, Achin Kulshrestha, Amir Zamir, Federico Tombari	PDF	N/A
HUMOS: Human Motion Model Conditioned on Body Shape	Shashank Tripathi, Omid Taheri, Christoph Lassner, Michael J. Black, Daniel Holden, Carsten Stoll*	PDF	N/A
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields	Yonggan Fu, Huaizhi Qu, Zhifan Ye, Chaojian Li, Kevin Zhao, Yingyan (Celine) Lin*	PDF	N/A
MVDiffHD: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction	Shitao Tang*, Jiacheng Chen, Dilin Wang, Chengzhou Tang, Fuyang Zhang, Yuchen Fan, Vikas Chandra, Yasutaka Furukawa, Rakesh Ranjan	PDF	N/A
FlowCon: Out-of-Distribution Detection using Flow-based Contrastive Learning	Saandeep Aathreya, Shaun Canavan	PDF	N/A
LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation	Archana Swaminathan*, Anubhav Gupta, Kamal Gupta, Shishira R Maiya, Vatsal Agarwal, Abhinav Shrivastava	PDF	N/A
Un-EVIMO: Unsupervised Event-based Independent Motion Segmentation	Ziyun Wang*, Jinyuan Guo, Kostas Daniilidis	PDF	N/A
Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration	Shihao Zhou, Jinshan Pan, Jinglei Shi*, Duosheng Chen, Lishen Qu, Jufeng Yang	PDF	N/A
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians	Yang Liu, Chuanchen Luo, Lue Fan, Naiyan Wang, Junran Peng, Zhaoxiang Zhang	PDF	N/A
Bayesian Evidential Deep Learning for Online Action Detection	Hongji Guo, Hanjing Wang, Qiang Ji*	PDF	N/A
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation	Zanlin Ni, Yulin Wang, Renping Zhou, Rui Lu, Jiayi Guo, Jinyi Hu, Zhiyuan Liu, Yuan Yao, Gao Huang	PDF	N/A
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather	Junsung Park, Kyungmin Kim, Hyunjung Shim*	PDF	N/A
Diffusion-Generated Pseudo-Observations for High-Quality Sparse-View Reconstruction	Xinhang Liu*, Jiaben Chen, Shiu-Hong Kao, Yu-Wing Tai, Chi-Keung Tang	PDF	N/A
Memory-Efficient Fine-Tuning for Quantized Diffusion Model	Hyogon Ryu, Seohyun Lim, Hyunjung Shim*	PDF	N/A
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing	Shang Liu, Chaohui Yu, Chenjie Cao, Wen Qian, Fan Wang	PDF	N/A
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model	Wenxun Dai, Ling-Hao Chen, Jingbo Wang, Jinpeng Liu, Bo Dai, Yansong Tang	PDF	N/A
Human Hair Reconstruction with Strand-Aligned 3D Gaussians	Egor Zakharov*, Vanessa Sklyarova, Michael J. Black, Giljoo Nam, Justus Thies, Otmar Hilliges	PDF	N/A
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation	Jiefeng Li, Ye Yuan, Davis Rempe, Haotian Zhang, Pavlo Molchanov, Cewu Lu, Jan Kautz, Umar Iqbal	PDF	N/A
SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders	Sheng-Wei Li, Zi-Xiang Wei, Wei-Jie Chen, Yi-Hsin Yu, Chih-Yuan Yang, Jane Yung-jen Hsu	PDF	N/A
Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection	Qijie Mo, Yipeng Gao, Shenghao Fu, Junkai Yan, Ancong Wu, Wei-Shi Zheng	PDF	N/A
Global-to-Pixel Regression for Human Mesh Recovery	Yabo Xiao, Mingshu HE*, Dongdong Yu	PDF	N/A
Visible and Clear: Finding Tiny Objects in Difference Map	Bing Cao, Haiyu Yao, Pengfei Zhu*, Qinghua Hu	PDF	N/A
Rethinking Image Super Resolution from Training Data Perspectives	Go Ohtani*, Ryu Tadokoro, Ryosuke Yamada, Yuki M Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki	PDF	N/A
BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering	Xinmin Qiu, Congying Han, Zicheng Zhang, Bonan Li*, Tiande Guo, Pingyu Wang, Xuecheng Nie	PDF	N/A
Efficient Inference of Vision Instruction-Following Models with Elastic Cache	Zuyan Liu, Benlin Liu, Jiahui Wang, Yuhao Dong, Guangyi Chen, Yongming Rao, Ranjay Krishna, Jiwen Lu*	PDF	N/A
FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior	Zhekai Chen, Wen Wang, Zhen Yang, Zeqing Yuan, Hao Chen, Chunhua Shen	PDF	N/A
Learning to Robustly Reconstruct Dynamic Scenes from Low-light Spike Streams	Liwen Hu, Ziluo Ding, Mianzhi Liu, Lei Ma, Tiejun Huang	PDF	N/A
MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection	Kuo Wang, Lechao Cheng, Weikai Chen, Pingping Zhang, Liang Lin, Fan Zhou, Guanbin Li	PDF	N/A
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models	Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li*, Philip Torr, Liang Lin	PDF	N/A
Interactive 3D Object Detection with Prompts	Ruifei Zhang, Xiangru Lin, Wei Zhang, Jincheng Lu, Xuekuan Wang, Xiao Tan, Yingying Li, Errui Ding, Jingdong Wang, Guanbin Li*	PDF	N/A
How Video Meetings Change Your Expression	Sumit Sarin*, Utkarsh Mall, Purva Tendulkar, Carl Vondrick	PDF	N/A
GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering	Yifeng Zhang, Ming Jiang, Qi Zhao*	PDF	N/A
Neural Volumetric World Models for Autonomous Driving	Zanming Huang, Jimuyang Zhang, Eshed Ohn-Bar*	PDF	N/A
IVTP: Instruction-guided Visual Token Pruning for Large Vision-Language Models	Kai Huang*, Hao Zou, Ye Xi, Bochen Wang, Zhen Xie, Liang Yu	PDF	N/A
RegionDrag: Fast Region-Based Image Editing with Diffusion Models	Jingyi Lu, Xinghui Li, Kai Han*	PDF	N/A
On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy	Letian Huang, Jiayang Bai, Jie Guo*, Yuanqi Li, Yanwen Guo	PDF	N/A
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding	Talfan Evans, Shreya Pathak, Hamza Merzic, Jonathan Richard Schwarz, Ryutaro Tanno, Olivier Henaff	PDF	N/A
Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration	Zhihao Liang, Qi Zhang, Wenbo Hu, Ying Feng, Lei ZHU, Kui Jia*	PDF	N/A
GRA: Detecting Oriented Objects through Group-wise Rotating and Attention	Jiangshan Wang, Yifan Pu, Yizeng Han, Jiayi Guo, Yiru Wang, Xiu Li, Gao Huang*	PDF	N/A
Portrait4D-v2: Pseudo Multi-View Data Creates Better 4D Head Synthesizer	Yu Deng*, Duomin Wang, Baoyuan Wang	PDF	N/A
CSOT: Cross-Scan Object Transfer for Semi-Supervised LiDAR Object Detection	Jinglin Zhan, Tiejun Liu, Rengang Li, Zhaoxiang Zhang, Yuntao Chen*	PDF	N/A
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation	Chang Liu, Giulia Rizzoli, Pietro Zanuttigh, Fu Li, Yi Niu*	PDF	N/A
ShareGPT4V: Improving Large Multi-Modal Models with Better Captions	Lin Chen, Jinsong Li, Xiaoyi Dong, Pan Zhang, Conghui He, Jiaqi Wang, Feng Zhao, Dahua Lin*	PDF	N/A
"Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation"	Yunhao Gou, Kai Chen, Zhili LIU, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James Kwok, Yu Zhang	PDF	N/A
Invertible Neural Warp for NeRF	Shin-Fang Chng*, Ravi Garg, Hemanth Saratchandran, Simon Lucey	PDF	N/A
Enhancing Vectorized Map Perception with Historical Rasterized Maps	Xiaoyu Zhang, Guangwei Liu, Zihao Liu, Ningyi Xu, Yunhui Liu*, Ji Zhao	PDF	N/A
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models	Sungyeon Kim, Boseung Jeong, Donghyun Kim, Suha Kwak	PDF	N/A
Part2Object: Hierarchical Unsupervised 3D Instance Segmentation	Cheng Shi, Yulin Zhang, Bin Yang, Jiajin Tang, Yuexin Ma, Sibei Yang*	PDF	N/A
PetFace: A Large-Scale Dataset and Benchmark for Animal Identification	Risa Shinoda*, Kaede Shiohara	PDF	N/A
MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo	Tianqi Liu, Guangcong Wang, Shoukang Hu, Liao Shen, Xinyi Ye, Yuhang Zang, Zhiguo Cao*, Wei Li, Ziwei Liu	PDF	N/A
Zero-Shot Detection of AI-Generated Images	Davide Cozzolino, GIovanni Poggi, Matthias Niessner, Luisa Verdoliva*	PDF	N/A
Language-Image Pre-training with Long Captions	Kecheng Zheng*, Yifei Zhang, Wei Wu, Fan Lu, Shuailei Ma, Xin Jin, Wei Chen, Yujun Shen	PDF	N/A
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition	Ruijie Yao, Sheng Jin, Lumin Xu, Wang Zeng, Wentao Liu, Chen Qian, Ping Luo, Ji Wu	PDF	N/A
DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-level Control	Xinyu Xu, Shengcheng Luo, Yanchao Yang, Yong-Lu Li, Cewu Lu*	PDF	N/A
You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perception	Sheng Jin, Shuhuai Li, Tong Li, Wentao Liu, Chen Qian, Ping Luo	PDF	N/A
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models	Jiaqi Xu, Mengyang Wu, Xiaowei Hu, Chi-Wing Fu, Qi Dou, Pheng-Ann Heng	PDF	N/A
Facial Affective Behavior Analysis with Instruction Tuning	Yifan Li*, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong	PDF	N/A
CoReS: Orchestrating the Dance of Reasoning and Segmentation	Xiaoyi Bao, Siyang Sun, Shuailei Ma, Kecheng Zheng, Yuxin Guo, Guosheng Zhao, Yun Zheng, Xingang Wang*	PDF	N/A
MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing	Haoyu Zhao, Tianyi Lu, Jiaxi Gu, Xing Zhang, Qingping Zheng, Zuxuan Wu*, Hang Xu, Yu-Gang Jiang	PDF	N/A
MambaIR: A Simple Baseline for Image Restoration with State-Space Model	Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia	PDF	N/A
I Can't Believe It's Not Scene Flow!	Ishan Khatri, Kyle Vedder, Neehar Peri, Deva Ramanan, James Hays	PDF	N/A
Rethinking Unsupervised Outlier Detection via Multiple Thresholding	Zhonghang Liu*, Panzhong Lu, Guoyang Xie, Zhichao Lu, Wen-Yan Lin	PDF	N/A
Compress3D: a Compressed Latent Space for 3D Generation from a Single Image	Bowen Zhang, Tianyu Yang, Yu Li, Lei Zhang, Xi Zhao*	PDF	N/A
Scalable Group Choreography via Variational Phase Manifold Learning	Nhat Le, Khoa Do, Xuan Bui, Tuong Do, Erman Tjiputra, Quang D.Tran, Anh Nguyen*	PDF	N/A
Masked Video and Body-worn IMU Autoencoder for Egocentric Action Recognition	Mingfang Zhang, Yifei Huang*, Ruicong Liu, Yoichi Sato	PDF	N/A
Mutual Learning for Acoustic Matching and Dereverberation via Visual Scene-driven Diffusion	Jian Ma, Wenguan Wang*, Yi Yang, Feng Zheng	PDF	N/A
PoseSOR: Human Pose Can Guide Our Attention	Huankang Guan, Rynson W.H. Lau*	PDF	N/A
TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes	Bu Jin, Yupeng Zheng*, Pengfei Li, Weize Li, Yuhang Zheng, Sujie Hu, Xinyu Liu, Jinwei Zhu, Zhijie Yan, Haiyang Sun, Kun Zhan, Peng Jia, Xiaoxiao Long, Yilun Chen, Hao Zhao	PDF	N/A
Bi-directional Contextual Attention for 3D Dense Captioning	Minjung Kim, Hyung Suk Lim, Soonyoung Lee, Bumsoo Kim, Gunhee Kim*	PDF	N/A
Multi-Person Pose Forecasting with Individual Interaction Perceptron and Prior Learning	Peng Xiao, Yi Xie, Xuemiao Xu, Weihong Chen, Huaidong Zhang	PDF	N/A
InfMAE: A Foundation Model in The Infrared Modality	Fangcen Liu, Chenqiang Gao*, Yaming Zhang, Junjie Guo, Jinghao Wang, Deyu Meng	PDF	N/A
TPA3D: Triplane Attention for Fast Text-to-3D Generation	Bin-Shih Wu, Hong-En Chen, Sheng-Yu Huang, Yu-Chiang Frank Wang	PDF	N/A
Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification	Jiangming Shi, Xiangbo Yin, Yeyun Chen, Yachao Zhang, Zhizhong Zhang, Yuan Xie, Yanyun Qu	PDF	N/A
LivePhoto: Real Image Animation with Text-guided Motion Control	Xi Chen, Zhiheng Liu, Mengting Chen, Yutong Feng, Yu Liu, Yujun Shen, Hengshuang Zhao*	PDF	N/A
"NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation"	Ruikai Cui, Weizhe Liu*, Weixuan Sun, Senbo Wang, Taizhang Shang, Yang Li, Xibin Song, Han Yan, ZHENNAN WU, Shenzhou Chen, HONGDONG LI, Pan Ji	PDF	N/A
AID-AppEAL: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment Labeling	Sherry X. Chen*, Yaron Vaxman, Elad Ben Baruch, David Asulin, Aviad Moreshet, Misha Sra, Pradeep Sen	PDF	N/A
SEDiff: Structure Extraction for Domain Adaptive Depth Estimation via Denoising Diffusion Models	Dongseok Shim, Hyoun Jin Kim	PDF	N/A
Quantized Prompt for Efficient Generalization of Vision-Language Models	Tianxiang Hao, Xiaohan Ding, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding	PDF	N/A
Online Temporal Action Localization with Memory-Augmented Transformer	Youngkil Song, Dongkeun Kim, Minsu Cho, Suha Kwak*	PDF	N/A
Efficient Cascaded Multiscale Adaptive Network for Image Restoration	Yichen Zhou, Pan Zhou, Teck Khim Ng	PDF	N/A
MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model	Muyao Niu, Xiaodong Cun, Xintao Wang, Yong Zhang, Ying Shan, Yinqiang Zheng	PDF	N/A
Occlusion-Aware Seamless Segmentation	Yihong Cao, Jiaming Zhang, Hao Shi, Kunyu Peng, Yuhongxuan Zhang, Hui Zhang, Rainer Stiefelhagen, Kailun Yang	PDF	N/A
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection	Changsheng Lu, Zheyuan Liu, Piotr Koniusz	PDF	N/A
Referring Atomic Video Action Recognition	Kunyu Peng*, Jia Fu, Kailun Yang, Di Wen, Yufan Chen, Ruiping Liu, Junwei Zheng, Jiaming Zhang, Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg	PDF	N/A
Agent3D-Zero: An Agent for Zero-shot 3D Understanding	sha zhang, Di Huang, Jiajun Deng, Shixiang Tang, Wanli Ouyang, Tong He, Yanyong Zhang*	PDF	N/A
Stream Query Denoising for Vectorized HD-Map Construction	Shuo Wang, Fan Jia, Weixin Mao, Yingfei Liu, Yucheng Zhao, Zehui Chen, Tiancai Wang, Chi Zhang, Xiangyu Zhang, Feng Zhao	PDF	N/A
SAGS: Structure-Aware 3D Gaussian Splatting	Evangelos Ververas, Rolandos Alexandros Potamias*, Jifei Song, Jiankang Deng, Stefanos Zafeiriou	PDF	N/A
Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval	Young Kyun Jang, Dat B Huynh, Ashish Shah, Wen-Kai Chen, Ser-Nam Lim	PDF	N/A
OneRestore: A Universal Restoration Framework for Composite Degradation	Yu Guo*, Yuan Gao, Yuxu Lu, Huilin Zhu, Wen Liu, Shengfeng He	PDF	N/A
Beat-It: Beat-Synchronized Multi-Condition 3D Dance Generation	Zikai Huang, Xuemiao Xu, Cheng Xu, Huaidong Zhang, Chenxi Zheng, Jing Qin, Shengfeng He	PDF	N/A
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks	Peishen Yan, Hao Wang, Tao Song*, Yang Hua, Ruhui Ma, Ningxin Hu, Mohammad Reza Haghighat, Haibing Guan	PDF	N/A
RePOSE: 3D Human Pose Estimation via Spatio-Temporal Depth Relational Consistency	Ziming Sun, Yuan Liang, Zejun Ma, Tianle Zhang, Linchao Bao, Guiqing Li, Shengfeng He*	PDF	N/A
Pixel-GS Density Control with Pixel-aware Gradient for 3D Gaussian Splatting	Zheng Zhang, Wenbo Hu, Yixing Lao, Tong He, Hengshuang Zhao	PDF	N/A
WorldPose: A World Cup Dataset for Global 3D Human Pose Estimation	Tianjian Jiang*, Johsan Billingham, Sebastian Müksch, Juan J Zarate, Nicolas Evans, Martin R. Oswald, Marc Pollefeys, Otmar Hilliges, Manuel Kaufmann, Jie Song	PDF	N/A
Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance	Toan Nguyen, Minh Nhat Nhat Vu, Baoru Huang, An Dinh Vuong, Quan Vuong, Ngan Le, Thieu Vo, Anh Nguyen*	PDF	N/A
COIN-Matting: Confounder Intervention for Image Matting	Zhaohe Liao, Jiangtong Li, Jun Lan, Huijia Zhu, Weiqiang Wang, Li Niu, Liqing Zhang	PDF	N/A
SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding	Zixu Cheng, Yujiang Pu, Shaogang Gong, Parisa Kordjamshidi, Yu Kong	PDF	N/A
Audio-driven Talking Face Generation with Stabilized Synchronization Loss	Dogucan Yaman*, Fevziye Irem Eyiokur, Leonard Bärmann, HAZIM KEMAL EKENEL, Alexander Waibel	PDF	N/A
"Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos"	Md Mohaiminul Islam*, Tushar Nagarajan, Huiyu Wang, FU-JEN CHU, Kris Kitani, Gedas Bertasius, Xitong Yang	PDF	N/A
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation	Björn Michele*, Alexandre Boulch, Tuan-Hung VU, Gilles Puy, Renaud Marlet, Nicolas Courty	PDF	N/A
Learning to Obstruct Few-Shot Image Classification over Restricted Classes	Amber Yijia Zheng, Chiao-An Yang, Raymond A. Yeh	PDF	N/A
RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion	Kyle Shih-Huang Lo*, Jorg Peters, Eric Spellman	PDF	N/A
L-DiffER: Single Image Reflection Removal with Language-based Diffusion Model	Yuchen Hong, Haofeng Zhong, Shuchen Weng, Jinxiu S Liang, Boxin Shi	PDF	N/A
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting	Yu Wang, Xiaogeng Liu, Yu Li, Muhao Chen, Chaowei Xiao	PDF	N/A
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving	Guoqing Wang, Zhongdao Wang, Pin Tang, Jilai Zheng, Xiangxuan Ren, Bailan Feng, Chao Ma*	PDF	N/A
CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner	Tingbing Yan, Wenzheng Zeng, Yang Xiao, Xingyu Tong, Bo Tan, Zhiwen Fang, Zhiguo Cao, Joey Tianyi Zhou	PDF	N/A
HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning	Fucai Ke*, Zhixi Cai, Simindokht Jahangard, Weiqing Wang, Pari Delir Haghighi, Hamid Rezatofighi	PDF	N/A
BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion	Xuan Ju, Xian Liu, Xintao Wang, Yuxuan Bian, Ying Shan, Qiang Xu*	PDF	N/A
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer	Ning Yu*, Chia-chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul W Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu	PDF	N/A
Blind image deblurring with noise-robust kernel estimation	Chanseok Lee, Jeongsol Kim, Seungmin Lee, Jaehwang Jung, Yunje Cho, Taejoong Kim, Taeyong Jo, Myungjun Lee, Mooseok Jang	PDF	N/A
Binomial Self-compensation for Motion Error in Dynamic 3D Scanning	Geyou Zhang, Ce Zhu*, Kai Liu	PDF	N/A
AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes	Dongxu Yue, Maomao Li, Yunfei Liu, Ailing Zeng, Tianyu Yang, Qin Guo, Yu Li*	PDF	N/A
Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation	Yue Xu, Yong-Lu Li*, Kaitong Cui, Ziyu Wang, Cewu Lu, Yu-Wing Tai, Chi-Keung Tang	PDF	N/A
VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting	Renjie Li, Zhiwen Fan*, Bohua Wang, Peihao Wang, Zhangyang Wang, Xi Wu	PDF	N/A
Momentum Auxiliary Network for Supervised Local Learning	Junhao Su, Changpeng Cai, Feiyu Zhu, Chenghao He, Xiaojie Xu, Dongzhi Guan, Chenyang Si	PDF	N/A
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion	Junhao Su, Chenghao He, Feiyu Zhu, Xiaojie Xu, Dongzhi Guan, Chenyang Si*	PDF	N/A
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains	Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim, Sunghoon Im*	PDF	N/A
Improving Zero-Shot Generalization for CLIP with Variational Adapter	Ziqian Lu, Fengli Shen, Mushui Liu, Yunlong Yu*, Xi Li	PDF	N/A
Realistic Human Motion Generation with Cross-Diffusion Models	Zeping Ren, Shaoli Huang, Xiu Li	PDF	N/A
EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding	Yuan-Ming Li, Wei-Jin Huang, An-Lan Wang, Ling-An Zeng, Jing-Ke Meng, Wei-Shi Zheng	PDF	N/A
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection	Youheng Sun, Shengming Yuan, Xuanhan Wang*, Lianli Gao, Jingkuan Song	PDF	N/A
Towards Reliable Advertising Image Generation Using Human Feedback	Zhenbang Du*, Wei Feng, Haohan Wang, Yaoyu Li, Jingsen Wang, Jian Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junsheng Jin, Junjie Shen, Zhangang Lin, Jingping Shao	PDF	N/A
Topology-Preserving Downsampling of Binary Images	Chia-Chia Chen, Chi-Han Peng	PDF	N/A
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders	Carlos Hinojosa*, Shuming Liu, Bernard Ghanem	PDF	N/A
Classification Matters: Improving Video Action Detection with Class-Specific Attention	Jinsung Lee, Taeoh Kim, Inwoong Lee, Minho Shim, Dongyoon Wee, Minsu Cho, Suha Kwak*	PDF	N/A
Improving Medical Multi-modal Contrastive Learning with Expert Annotations	Yogesh Kumar*, Pekka Marttinen	PDF	N/A
Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-wise Hidden Bias	Jinhyeok Jang*, ByungOk Han, Jaehong Kim, Chan-Hyun Youn	PDF	N/A
Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization	Jiayun Wang*, Yubei Chen, Stella X. Yu	PDF	N/A
SILC: Improving Vision Language Pretraining with Self-Distillation	Muhammad Ferjad Naeem*, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari	PDF	N/A
Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction	Guowei Xu, Jiale Tao, Wen Li*, Lixin Duan	PDF	N/A
Leveraging temporal contextualization for video action recognition	Minji Kim, Dongyoon Han, Taekyung Kim, Bohyung Han	PDF	N/A
ChEX: Interactive Localization and Region Description in Chest X-rays	Philip Müller*, Georgios Kaissis, Daniel Rueckert	PDF	N/A
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale	Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zieliński	PDF	N/A
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts	Yichao Cai*, Yuhang Liu, Zhen Zhang, Javen Qinfeng Shi	PDF	N/A
ZigMa: A DiT-style Zigzag Mamba Diffusion Model	Vincent Tao Hu*, Stefan A Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S Fischer, Bjorn Ommer	PDF	N/A
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion	Guangyao Zhai*, Evin Pınar Örnek, Dave Zhenyu Chen, Ruotong Liao, Yan Di, Nassir Navab, Federico Tombari, Benjamin Busam	PDF	N/A
"On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines"	Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi, Puneet Dokania	PDF	N/A
HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization	Sakib Reza, Yuexi Zhang, Mohsen Moghaddam, Octavia Camps*	PDF	N/A
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time	Chiao-An Yang*, Ziwei Liu, Raymond Yeh	PDF	N/A
Safe-Sim: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries	Wei-Jer Chang*, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, Manmohan Chandraker	PDF	N/A
Analysis-by-Synthesis Transformer for Single-View 3D Reconstruction	Dian Jia, Xiaoqian Ruan, Kun Xia, Zhiming Zou, Le Wang, Wei Tang*	PDF	N/A
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning	Chongyu Fan, Jiancheng Liu*, Alfred Hero, Sijia Liu	PDF	N/A
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians	Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Bjorn Ommer	PDF	N/A
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference	Feng Wang*, Jieru Mei, Alan Yuille	PDF	N/A
Flying with Photons: Rendering Novel Views of Propagating Light	Anagh Malik*, Noah Juravsky, Ryan Po, Gordon Wetzstein, Kiriakos N. Kutulakos, David B. Lindell	PDF	N/A
RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos	Tanveer Hannan*, Md Mohaiminul Islam, Thomas Seidl, Gedas Bertasius	PDF	N/A
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images	Yuedong Chen*, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, Jianfei Cai	PDF	N/A
3DGazeNet: Generalizing Gaze Estimation with Weak Supervision from Synthetic Views	Evangelos Ververas*, Polydefkis Gkagkos, Jiankang Deng, Michail C Doukas, Jia Guo, Stefanos Zafeiriou	PDF	N/A
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment	Mu Cai, Haotian Liu, Yuheng Li*, Yijun Li, Eli Shechtman, Zhe Lin, Yong Jae Lee, Krishna Kumar Singh	PDF	N/A
Resilience of Entropy Model in Distributed Neural Networks	Milin Zhang*, Mohammad Abdi, Shahriar Rifat, Francesco Restuccia	PDF	N/A
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis	Chirag Vashist*, Shichong Peng, Ke Li	PDF	N/A
Implicit Concept Removal of Diffusion Models	Zhili Liu*, Kai Chen, Yifan Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung, James Kwok	PDF	N/A
PLOT: Text-based Person Search with Part Slot Attention for Corresponding Part Discovery	Jicheol Park, Dongwon Kim, Boseung Jeong, Suha Kwak*	PDF	N/A
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting	Kai Zhang*, Sai Bi, Hao Tan, Yuanbo Xiangli, Nanxuan Zhao, Kalyan Sunkavalli, Zexiang Xu	PDF	N/A
Robust-Wide: Robust Watermarking against Instruction-driven Image Editing	Runyi Hu, Jie Zhang*, Ting Xu, Jiwei Li, Tianwei Zhang	PDF	N/A
OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal	Qiao Mo, Yukang Ding, Jinhua Hao, Qiang Zhu, Ming Sun, Chao Zhou, Feiyu Chen, Shuyuan Zhu	PDF	N/A
Formula-Supervised Visual-Geometric Pre-training	Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka, Koshi Makihara, Nakamasa Inoue, Rio Yokota, Yutaka Satoh	PDF	N/A
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding	Yue Fan, Xiaojian Ma, Rujie Wu, yuntao du, Jiaqi Li, Zhi Gao, Qing Li	PDF	N/A
Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing	Guanghao Zheng, Yuchen Liu, Wenrui Dai*, Chenglin Li, Junni Zou, Hongkai Xiong	PDF	N/A
Restoring Images in Adverse Weather Conditions via Histogram Transformer	Shangquan Sun, Wenqi Ren*, Xinwei Gao, Rui Wang, Xiaochun Cao	PDF	N/A
PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer	Tongkun Guan, Chengyu Lin, Wei Shen*, Xiaokang Yang	PDF	N/A
NGP-RT: Fusing Multi-Level Hash Features with Lightweight Attention for Real-Time Novel View Synthesis	Yubin Hu, Xiaoyang Guo, Yang Xiao, Jingwei Huang, Yong-Jin Liu*	PDF	N/A
Elysium: Exploring Object-level Perception in Videos through Semantic Integration Using MLLMs	Han Wang*, Yanjie Wang, Ye Yongjie, Yuxiang Nie, Can Huang	PDF	N/A
G2fR: Frequency Regularization in Grid-based Feature Encoding Neural Radiance Fields	Shuxiang Xie*, Shuyi Zhou, Ken Sakurada, Ryoichi Ishikawa, Masaki Onishi, Takeshi Oishi	PDF	N/A
Getting it Right: Improving Spatial Consistency in Text-to-Image Models	Agneet Chatterjee*, Gabriela Ben Melech Stan, Estelle Guez Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hanna Hajishirzi, Vasudev Lal, Chitta R Baral, Yezhou Yang	PDF	N/A
Generating 3D House Wireframes with Semantics	Xueqi Ma, Yilin Liu, Wenjun Zhou, Ruowei Wang, Hui Huang*	PDF	N/A
GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image	Xiao Fu*, Wei Yin, Mu Hu, Kaixuan Wang, Yuexin Ma, Ping Tan, Shaojie Shen, Dahua Lin, Xiaoxiao Long	PDF	N/A
Shape-guided Configuration-aware Learning for Endoscopic-image-based Pose Estimation of Flexible Robotic Instruments	Yiyao Ma, Kai Chen, Hon-Sing Tong, Ruofeng Wei, Yui-Lun Ng, Ka-Wai Kwok, Qi Dou	PDF	N/A
Nonverbal Interaction Detection	Jianan Wei, Tianfei Zhou, Yi Yang, Wenguan Wang*	PDF	N/A
UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving	Jian Zou, Tianyu Huang, Guanglei Yang, Zhenhua Guo, Tao Luo, Chun-Mei Feng, Wangmeng Zuo	PDF	N/A
Responsible Visual Editing	Minheng Ni, Yeli Shen, Lei Zhang, Wangmeng Zuo	PDF	N/A
Drag Anything: Motion Control for Anything using Entity Representation	Weijia Wu , Zhuang Li, Yuchao Gu, Rui Zhao, Yefei He, David Junhao Zhang, Mike Zheng Shou*, Yan Li, Tingting Gao, Zhang Di	PDF	N/A
SegPoint: Segment Any Point Cloud via Large Language Model	Shuting He, Henghui Ding, Xudong Jiang, Bihan Wen*	PDF	N/A
Navigation Instruction Generation with BEV Perception and Large Language Models	Sheng Fan, Rui Liu, Wenguan Wang*, Yi Yang	PDF	N/A
Rebalancing Using Estimated Class Distribution for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch	Taemin Park, Hyuck Lee, Heeyoung Kim*	PDF	N/A
Vista3D: unravel the 3d darkside of a single image	Qiuhong Shen, Xingyi Yang, Michael Bi Mi, Xinchao Wang*	PDF	N/A
The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation	Yi Yao, Chan-Feng Hsu, Jhe-Hao Lin, Hongxia Xie, Terence Lin, Yi-Ning Huang, Hong-Han Shuai, Wen-Huang Cheng*	PDF	N/A
Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection	Junjie Huang*, Yun Ye, Zhujin Liang, Yi Shan, Dalong Du	PDF	N/A
FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally	Qiuhong Shen, Xingyi Yang, Xinchao Wang*	PDF	N/A
Exploiting Dual-Correlation for Multi-frame Time-of-Flight Denoising	Guanting Dong, Yueyi Zhang, Xiaoyan Sun, Zhiwei Xiong	PDF	N/A
Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection	Kwanyong Park, Kuniaki Saito, Donghyun Kim*	PDF	N/A
Domesticating SAM for Breast Ultrasound Image Segmentation via Spatial-frequency Fusion and Uncertainty Correction	Wanting Zhang, Huisi Wu*, Jing Qin	PDF	N/A
CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images	Jisu Shin, Junmyeong Lee, Seongmin Lee, Min-Gyu Park, Jumi Kang, Ju Hong Yoon, Hae-Gon Jeon*	PDF	N/A
Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation	Genki Kinoshita*, Ko Nishino	PDF	N/A
Uni3DL: A Unified Model for 3D Vision-Language Understanding	Xiang Li*, Jian Ding, Zhaoyang Chen, Mohamed Elhoseiny	PDF	N/A
Object-Aware NIR-to-Visible Translation	Yunyi Gao, Lin Gu, Qiankun Liu, Ying Fu*	PDF	N/A
PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference	Tanvir Mahmud*, Burhaneddin Yaman, Chun-Hao Liu, Diana Marculescu	PDF	N/A
GENIXER: Empowering Multimodal Large Language Models as a Powerful Data Generator	Henry Hengyuan Zhao, Pan Zhou, Mike Zheng Shou*	PDF	N/A
BLINK: Multimodal Large Language Models Can See but Not Perceive	Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A Smith, Wei-Chiu Ma, Ranjay Krishna	PDF	N/A
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation	Lorenzo Mur-Labadia*, Ruben Martinez-Cantin, Jose J Guerrero, Giovanni Maria Farinella, Antonino Furnari	PDF	N/A
PreLAR: World Model Pre-training with Learnable Action Representation	Lixuan Zhang, Meina Kan, Shiguang Shan, Xilin Chen*	PDF	N/A
Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot	Fabien Baradel*, Thomas LUCAS, Matthieu Armando, Salma Galaaoui, Romain Brégier, Philippe Weinzaepfel, Gregory Rogez	PDF	N/A
De-confounded Gaze Estimation	Ziyang Liang, Yiwei Bao, Feng Lu*	PDF	N/A
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions	Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi*	PDF	N/A
FreestyleRet: Retrieving Images from Style-Diversified Queries	Hao Li, Yanhao Jia, Peng Jin, Zesen Cheng, Kehan Li, Jialu Sui, Chang Liu, Li Yuan	PDF	N/A
ReGround: Improving Textual and Spatial Grounding at No Cost	Phillip Y. Lee, Minhyuk Sung*	PDF	N/A
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos	Jiewen Yang, Yiqun Lin, Bin Pu, Jiarong GUO, Xiaowei Xu, Xiaomeng Li*	PDF	N/A
LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction	Penghui Du, Yu Wang, Yifan Sun, Luting Wang, Yue Liao, gang zhang, Errui Ding, Yan Wang, Jingdong Wang, Si Liu	PDF	N/A
Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement	Lingyu Zhu, Wenhan Yang, Baoliang Chen, Hanwei Zhu, Zhangkai Ni, Qi Mao, Shiqi Wang*	PDF	N/A
Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders	Alexandre Eymaël, Renaud Vandeghen*, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck	PDF	N/A
VP-SAM: Taming Segment Anything Model for Video Polyp Segmentation via Disentanglement and Spatio-temporal Side Network	Zhixue Fang, Yuzhi Liu, Huisi Wu*, Jing Qin	PDF	N/A
Dataset Enhancement with Instance-Level Augmentations	Orest Kupyn*, Christian Rupprecht	PDF	N/A
FreeMotion: MoCap-Free Human Motion Synthesis with Multimodal Large Language Models	Zhikai Zhang, Yitang Li, Haofeng Huang, Mingxian Lin, Li Yi*	PDF	N/A
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild	Donggyun Kim, Seongwoong Cho, Semin Kim, Chong Luo, Seunghoon Hong*	PDF	N/A
Reliability in Semantic Segmentation: Can We Use Synthetic Data?	Thibaut Loiseau, Tuan-Hung Vu*, Mickael Chen, Patrick Pérez, Matthieu Cord	PDF	N/A
SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning	Runmin Zhang, Jun Ma, Lun Luo, Beinan Yu, Shu-Jie Chen, Junwei Li, Hui-Liang Shen, Si-Yuan Cao	PDF	N/A
SCAPE: A Simple and Strong Category-Agnostic Pose Estimator	Yujia Liang, Zixuan Ye, Wenze Liu, Hao Lu*	PDF	N/A
Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning	Mainak Singha*, Ankit Jha, Divyam Gupta, Pranav Singla, Biplab Banerjee	PDF	N/A
Improving Knowledge Distillation via Regularizing Feature Direction and Norm	Yuzhu Wang, Lechao Cheng*, Manni Duan, Yongheng Wang, Zunlei Feng, Shu Kong	PDF	N/A
3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views	Kennard Yanting Chan*, Fayao Liu, Guosheng Lin, Chuan Sheng Foo, Weisi Lin	PDF	N/A
Lazy Diffusion Transformer for Interactive Image Editing	Yotam Nitzan*, Zongze Wu, Richard Zhang, Eli Shechtman, Danny Cohen-Or, Taesung Park, Michaël Gharbi	PDF	N/A
Non-parametric Sensor Noise Modeling and Synthesis	Ali Mosleh*, Luxi Zhao, Atin Vikram Singh, Jaeduk Han, Abhijith Punnappurath, Marcus A Brubaker, Jihwan Choe, Michael S Brown	PDF	N/A
Stripe Observation Guided Inference Cost-free Attention Mechanism	Zhongzhan Huang, Shanshan Zhong, Wushao Wen, Jinghui Qin, Liang Lin	PDF	N/A
The Nerfect Match: Exploring NeRF Features for Visual Localization	Qunjie Zhou*, Maxim Maximov, Or Litany, Laura Leal-Taixé	PDF	N/A
ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance	Yongwei Chen, Tengfei Wang, Tong Wu, Xingang Pan, Kui Jia*, Ziwei Liu	PDF	N/A
Robust Calibration of Large Vision-Language Adapters	Balamurali Murugesan*, Julio Silva-Rodríguez, Ismail Ben Ayed, Jose Dolz	PDF	N/A
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation	Haizhong Zheng, Jiachen Sun, Shutong Wu, Bhavya Kailkhura, Zhuoqing Morley Mao, Chaowei Xiao, Atul Prakash*	PDF	N/A
Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training	Yuanqi Yao, Gang Wu, Kui Jiang, Siao Liu, Jian Kuai, Xianming Liu, Junjun Jiang	PDF	N/A
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing	Fangqiang Ding*, Zhen Luo, Peijun Zhao, Chris Xiaoxuan Lu	PDF	N/A
denoiSplit: a method for joint microscopy image splitting and unsupervised denoising	Ashesh Ashesh, Florian Jug	PDF	N/A
AugDETR: Improving Multi-scale Learning for Detection Transformer	Jinpeng Dong, Yutong Lin, Chen Li, Sanping Zhou, Nanning Zheng*	PDF	N/A
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos	Heeseung Yun, Ruohan Gao, Ishwarya Ananthabhotla, Anurag Kumar, Jacob Donley, Chao Li, Gunhee Kim, Vamsi Krishna Ithapu, Calvin Murdock	PDF	N/A
SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images	Josh David Myers-Dean*, Jarek T Reynolds, Brian Price, Yifei Fan, Danna Gurari	PDF	N/A
SIGMA: Sinkhorn-Guided Masked Video Modeling	Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees Snoek, Yuki M Asano	PDF	N/A
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis	Basile Van Hoorick*, Rundi Wu, Ege Ozguroglu, Kyle Sargent, Ruoshi Liu, Pavel Tokmakov, Achal Dave, Changxi Zheng, Carl Vondrick	PDF	N/A
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams	Ziqiang Wang, Zhixiang Chi, Yanan Wu, Li Gu, Zhi Liu, Konstantinos N Plataniotis, Yang Wang	PDF	N/A
Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images	Tianyu Luan, Zhongpai Gao, Luyuan Xie, Abhishek Sharma, Hao Ding, Benjamin Planche, Meng Zheng, Ange Lou, Terrence Chen, Junsong Yuan, Ziyan Wu*	PDF	N/A
Understanding Physical Dynamics with Counterfactual World Modeling	Rahul Venkatesh, Honglin Chen, Kevin Feigelis, Daniel M Bear, Khaled Jedoui, Klemen Kotar, Felix J Binder, Wanhee Lee, Sherry Liu, Kevin Smith, Judith E. Fan, Daniel Yamins	PDF	N/A
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition	Aggelina Chatziagapi*, Grigorios Chrysos, Dimitris Samaras	PDF	N/A
4Diff: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation	Feng Cheng, Mi Luo, Huiyu Wang, Alex Dimakis, Lorenzo Torresani, Gedas Bertasius, Kristen Grauman	PDF	N/A
Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance	I-HSIANG CHEN, Wei-Ting Chen, Yu-Wei Liu, Ming-Hsuan Yang, Sy-Yen Kuo*	PDF	N/A
Nymeria: A Massive Collection of Egocentric Multi-modal Human Motion in the Wild	Lingni Ma*, Yuting Ye, Rowan Postyeni, Alexander J Gamino, Vijay Baiyya, Luis Pesqueira, Kevin M Bailey, David Soriano Fosas, Fangzhou Hong, Vladimir Guzov, Yifeng Jiang, Hyo Jin Kim, Jakob Engel, Karen Liu, Ziwei Liu, Renzo De Nardi, Richard Newcombe	PDF	N/A
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation	Yi-Hao Peng*, Faria Huq, Yue Jiang, Jason Wu, Xin Yue Li, Jeffrey Bigham, Amy Pavel	PDF	N/A
SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild	Pengfei Wang, Xiaofei Hui, Jing Wu, Zile Yang, Kian Eng Ong, Xinge Zhao, Beijia Lu, Dezhao Huang, Evan Ling, Weiling Chen, Keng Teck Ma, Minhoe Hur, Jun Liu*	PDF	N/A
VideoMamba: Spatio-Temporal Selective State Space Model	Jinyoung Park*, Hee-Seon Kim, Kangwook Ko, Minbeom Kim, Changick Kim	PDF	N/A
Text to Layer-wise 3D Clothed Human Generation	Junting Dong*, Qi Fang, Zehuan Huang, Xudong XU, Jingbo Wang, Sida Peng, Bo Dai	PDF	N/A
Texture-GS: Disentangle the Geometry and Texture for 3D Gaussian Splatting Editing	Tianxing Xu*, Wenbo Hu, Yu-Kun Lai, Ying Shan, Song-Hai Zhang	PDF	N/A
Fully Sparse 3D Occupancy Prediction	Haisong Liu, Yang Chen, Haiguang Wang, Zetong Yang, Tianyu Li, Jia Zeng, Li Chen, Hongyang Li, Limin Wang*	PDF	N/A
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data	Junha Song, Tae Soo Kim, Junha Kim, Gunhee Nam, Thijs Kooi, Jaegul Choo	PDF	N/A
CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field	Jiarui Hu, Xianhao Chen, Boyin Feng, Guanglin Li, Liangjing Yang, Hujun Bao, Guofeng Zhang, Zhaopeng Cui*	PDF	N/A
Shifted Autoencoders for Point Annotation Restoration in Object Counting	Yuda Zou, Xin Xiao, Peilin Zhou, Zhichao Sun, Bo Du, Yongchao Xu*	PDF	N/A
PointLLM: Empowering Large Language Models to Understand Point Clouds	Runsen Xu, Xiaolong Wang, Tai Wang, Yilun Chen, Jiangmiao Pang*, Dahua Lin	PDF	N/A
GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections	Shiyue Zhang, Zheng Chong, Xujie Zhang, Hanhui Li, Yuhao Cheng, yiqiang yan, Xiaodan Liang*	PDF	N/A
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving	Zhenghao Peng, Wenjie Luo, Yiren Lu*, Tianyi Shen, Cole Gulino, Ari Seff, Justin Fu	PDF	N/A
Enhancing Diffusion Models with Text-Encoder Reinforcement Learning	Chaofeng Chen, Annan Wang, Haoning Wu, Liang Liao, Wenxiu Sun, Qiong Yan, Weisi Lin	PDF	N/A
Asymmetric Mask Scheme for Self-Supervised Real Image Denoising	Xiangyu Liao, Tianheng Zheng, Jiayu Zhong, Pingping Zhang, Chao Ren	PDF	N/A
Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation	Mengchen Zhang, Tong Wu, Tai Wang, Tengfei Wang, Ziwei Liu, Dahua Lin	PDF	N/A
BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting	Lingzhe Zhao, Peng Wang, Peidong Liu*	PDF	N/A
Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis	Qi Sun*, Hang Zhou, Wengang Zhou, Li Li, Houqiang Li	PDF	N/A
BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression	Yufeng Zhang, Hang Yu, Shizhan Liu, Wenrui Dai, Weiyao Lin*	PDF	N/A
FlexAttention for Efficient High-Resolution Vision-Language Models	Junyan Li*, Delin Chen, Tianle Cai, Peihao Chen, Yining Hong, Zhenfang Chen, Yikang Shen, Chuang Gan	PDF	N/A
Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable Repainting	Junwu Zhang, Zhenyu Tang, Yatian Pang, Xinhua Cheng, Peng Jin, Yida Wei, xing zhou, munan ning, Li Yuan	PDF	N/A
AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation	Xinzhou Wang, Yikai Wang, Junliang Ye, Fuchun Sun, Zhengyi Wang, Ling Wang, Pengkun Liu, Kai Sun, Xintong Wang, Xie wende, Fangfu Liu, Bin He	PDF	N/A
Spatially-Variant Degradation Model for Dataset-free Super-resolution	SHAOJIE GUO, Haofei Song, Qingli Li, Yan Wang*	PDF	N/A
DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation	Junkai Yan, Yipeng Gao, Qize Yang, Xihan Wei, Xuansong Xie, Ancong Wu, WEI-SHI ZHENG	PDF	N/A
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence	Hongyuan Wang, Lizhi Wang*, Jiang Xu, Chang Chen, Xue Hu, Fenglong Song, Youliang Yan	PDF	N/A
Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation	Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Runyi Yu, Chang Liu, Xiangyang Ji, Li Yuan*, Jie Chen	PDF	N/A
EAFormer: Scene Text Segmentation with Edge-Aware Transformers	Haiyang Yu, Teng Fu, Bin Li*, Xiangyang Xue	PDF	N/A
Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects	Zicong Fan, Takehiko Ohkawa*, Linlin Yang, Nie Lin, Zhishan Zhou, Shihao Zhou, Jiajun Liang, Zhong Gao, Xuanyang Zhang, Xue Zhang, Fei Li, Liu Zheng, Feng Lu, Karim Abou Zeid, Bastian Leibe, Jeongwan On, Seungryul Baek, Aditya Prakash, Saurabh Gupta, Kun He, Yoichi Sato, Otmar Hilliges, Hyung Jin Chang, Angela Yao	PDF	N/A
DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration	Meng-Cheng Shih, Tsai-Ling Huang, Yu-Heng Shih, Hong-Han Shuai, Hsuan-Tung Liu, Yi-Ren Yeh, Ching-Chun Huang	PDF	N/A
LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation	Ruida Zhang, Ziqin Huang, Gu Wang, Chenyangguang Zhang, Yan Di, Xingxing Zuo, Jiwen Tang, Xiangyang Ji*	PDF	N/A
Upper-body Hierarchical Graph for Skeleton Based Emotion Recognition in Assistive Driving	Jiehui Wu, Jiansheng Chen*, Qifeng Luo, Siqi Liu, Youze Xue, Huimin Ma	PDF	N/A
Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction	Yansheng Li, Tingzhu Wang*, Kang Wu, Linlin Wang, Xin Guo, Wenbin Wang	PDF	N/A
Exploring Guided Sampling of Conditional GANs	Yifei Zhang, Mengfei Xia, Yujun Shen, Jiapeng Zhu, Ceyuan Yang, Kecheng Zheng, Lianghua Huang, Yu Liu, Fan Cheng	PDF	N/A
MotionChain: Conversational Motion Controllers via Multimodal Prompts	Biao Jiang, Xin Chen, Chi Zhang, Fukun Yin, Zhuoyuan Li, Gang Yu, Jiayuan Fan*	PDF	N/A
Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition	Lilang Lin, Lehong Wu, Jiahang Zhang, Jiaying Liu*	PDF	N/A
Latent Guard: a Safety Framework for Text-to-image Generation	Runtao Liu, Ashkan Khakzar, Jindong Gu, Qifeng Chen, Philip Torr, Fabio Pizzati*	PDF	N/A
MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion	Lehong Wu, Lilang Lin, Jiahang Zhang, Yiyang Ma, Jiaying Liu	PDF	N/A
TCC-Det: Temporarily consistent cues for weakly-supervised 3D detection	Jan Skvrna*, Lukáš Neumann	PDF	N/A
OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection	Jinghua Hou, Tong Wang, Xiaoqing Ye, Zhe Liu, Shi Gong, Xiao Tan, Errui Ding, Jingdong Wang, Xiang Bai*	PDF	N/A
FoundPose: Unseen Object Pose Estimation with Foundation Features	Evin Pınar Örnek*, Yann Labbé, Bugra Tekin, Lingni Ma, Cem Keskin, Christian Forster, Tomas Hodan	PDF	N/A
Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation	Zhengyuan Xie, Haiquan Lu, Jia-wen Xiao, Enguang Wang, Le Zhang, Xialei Liu*	PDF	N/A
Kalman-Inspired Feature Propagation for Video Face Super-Resolution	Ruicheng Feng, Chongyi Li, Chen Change Loy*	PDF	N/A
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models	Yu-Chu Yu*, Chi-Pin Huang, Jr-Jen Chen, Kai-Po Chang, Yung-Hsuan Lai, Fu-En Yang, Yu-Chiang Frank Wang	PDF	N/A
VideoMamba: State Space Model for Efficient Video Understanding	Kunchang Li, Xinhao Li, Yi Wang, Yinan He, Yali Wang, Limin Wang, Yu Qiao*	PDF	N/A
SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging	Lingtong Kong*, Bo Li, Yike Xiong, Hao Zhang, Hong Gu, Jinwei Chen	PDF	N/A
Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds	Yanni Ma, Hao Liu, Yun Pei, Yulan Guo*	PDF	N/A
Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving	Ming Nie, Renyuan Peng, Chunwei Wang, Xinyue Cai, Jianhua Han, Hang Xu, Li Zhang	PDF	N/A
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models	Shouwei Ruan, Yinpeng Dong, Liu Hanqing, Yao Huang, Hang Su, Xingxing Wei	PDF	N/A
Deep Cost Ray Fusion for Sparse Depth Video Completion	Jungeon Kim, Soongjin Kim, Jaesik Park, Seungyong Lee*	PDF	N/A
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection	Ziying Song, Lei Yang, Shaoqing Xu, Lin Liu, Dongyang Xu, Caiyan Jia*, Feiyang Jia, Li Wang	PDF	N/A
DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video	Narek Tumanyan*, Assaf Singer, Shai Bagon, Tali Dekel	PDF	N/A
GraspXL: Generating Grasping Motions for Diverse Objects at Scale	Hui Zhang*, Sammy Christen, Zicong Fan, Otmar Hilliges, Jie Song	PDF	N/A
Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models	Ruibin Li*, Ruihuang Li, Song Guo, Lei Zhang	PDF	N/A
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models	Nishad Singhi*, Jae Myung Kim, Karsten Roth, Zeynep Akata	PDF	N/A
JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation	ChenHan Jiang*, Yihan Zeng, Tianyang Hu, Songcen Xu, Wei Zhang, Hang Xu, Dit-Yan Yeung	PDF	N/A
Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals	Camilo L Fosco*, Benjamin Lahner, Bowen Pan, Alex Andonian, Emilie L Josephs, Alex Lascelles, Aude Oliva	PDF	N/A
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection	Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Vishal M. Patel	PDF	N/A
"SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking"	Siyuan Li*, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Martin Danelljan, Luc Van Gool	PDF	N/A
Tensorial template matching for fast cross-correlation with rotations and its application for tomography	Antonio Martinez-Sanchez*, Ulrike Homberg, J. M. Almira, Harold Phelippeau	PDF	N/A
FreeAugment: Data Augmentation Search Across All Degrees of Freedom	Tom Bekor*, Niv Nayman, Lihi Zelnik-Manor	PDF	N/A
Learning Representations of Satellite Images From Metadata Supervision	Jules Bourcier*, Gohar Dashyan, Karteek Alahari, Jocelyn Chanussot	PDF	N/A
I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM	Gwangtak Bae, Changwoon Choi, Hyeongjun Heo, Sang Min Kim, Young Min Kim*	PDF	N/A
FlashTex: Fast Relightable Mesh Texturing with LightControlNet	Kangle Deng*, Timothy Omernick, Alexander B Weiss, Deva Ramanan, Jun-Yan Zhu, Tinghui Zhou, Maneesh Agrawala	PDF	N/A
GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence	Pengyuan Wang*, Takuya Ikeda, Robert Lee, Koichi Nishiwaki	PDF	N/A
ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling	William Yicheng Zhu, Keren Ye, Junjie Ke, Jiahui Yu, Leonidas Guibas, Peyman Milanfar, Feng Yang*	PDF	N/A
PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance	Aoming Liu, Zhong Li, Zhang Chen*, Nannan Li, Yi Xu, Bryan Plummer	PDF	N/A
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors	Christian Wilms*, Tim Rolff, Maris N Hillemann, Robert Johanson, Simone Frintrop	PDF	N/A
Lagrangian Hashing for Compressed Neural Field Representations	Shrisudhan Govindarajan*, Zeno Sambugaro, Akhmedkhan Shabanov, Towaki Takikawa, Weiwei Sun, Daniel Rebain, Nicola Conci, Kwang Moo Yi, Andrea Tagliasacchi	PDF	N/A
EDformer: Transformer-Based Event Denoising Across Varied Noise Levels	Bin Jiang, Bo Xiong, Bohan Qu, M. Salman Asif, You Zhou, Zhan Ma	PDF	N/A
Foster Adaptivity and Balance in Learning with Noisy Labels	Mengmeng Sheng, Zeren Sun, Tao Chen, Shuchao Pang, yucheng wang, Yazhou Yao	PDF	N/A
MetaAug: Meta-Data Augmentation for Post-Training Quantization	Cuong Van Pham*, Hoang Anh Dung, Cuong Cao Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do	PDF	N/A
Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis	Qian Chen, Shihao Shu, Xiangzhi Bai*	PDF	N/A
Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach	Shizhou Zhang, Wenlong Luo, De Cheng*, Qingchun Yang, Lingyan Ran, Yinghui Xing, Yanning Zhang	PDF	N/A
Unleashing the Power of Prompt-driven Nucleus Instance Segmentation	Zhongyi Shui, Yunlong Zhang, Kai Yao, Chenglu Zhu, Sunyi Zheng, Jingxiong Li, Honglin Li, YUXUAN SUN, Ruizhe Guo, Lin Yang	PDF	N/A
Gaze Target Detection Based on Head-Local-Global Coordination	Yaokun Yang, Feng Lu*	PDF	N/A
3DSA:Multi-View 3D Human Pose Estimation With 3D Space Attention Mechanisms	Po Han Chen, Chia-Chi Tsai*	PDF	N/A
Toward Tiny and High-quality Facial Makeup with Data Amplify Learning	Qiaoqiao Jin, Xuanhong Chen, Meiguang Jin, Ying Chen, Rui Shi, Yucheng Zheng, Yupeng Zhu, Bingbing Ni*	PDF	N/A
An Economic Framework for 6-DoF Grasp Detection	Xiao-Ming Wu, Jia-Feng Cai, Jian-Jian Jiang, Dian Zheng, Yi-Lin Wei, Wei-Shi Zheng	PDF	N/A
GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction	Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu*	PDF	N/A
Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning	Fanyue Wei, Wei Zeng, Zhenyang Li, Dawei Yin, Lixin Duan, Wen Li*	PDF	N/A
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer	Zhuguanyu Wu, Jiaxin Chen*, Hanwen Zhong, Di Huang, Yunhong Wang	PDF	N/A
Multi-Label Cluster Discrimination for Visual Representation Learning	Xiang An, Kaicheng Yang, Xiangzi Dai, Ziyong Feng, Jiankang Deng*	PDF	N/A
"Plan, Posture and Go: Towards Open-vocabulary Text-to-Motion Generation"	Jinpeng Liu, Wenxun Dai, Chunyu Wang, Yiji Cheng, Yansong Tang*, Xin Tong	PDF	N/A
DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion	Junjie Guo, Chenqiang Gao, Fangcen Liu, Deyu Meng, Xinbo Gao	PDF	N/A
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks	Hao Fang, Jiawei Kong, Bin Chen*, Tao Dai, Hao Wu, Shu-Tao Xia	PDF	N/A
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering	Benjamin Attal*, Dor Verbin, Ben Mildenhall, Peter Hedman, Jonathan T Barron, Matthew O'Toole, Pratul Srinivasan	PDF	N/A
Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds	Zicheng Wang, Zhen Zhao, Yiming Wu, Luping Zhou, Dong Xu	PDF	N/A
A New Dataset and Framework for Real-World Blurred Images Super-Resolution	Rui Qin, Ming Sun, Chao Zhou, Bin Wang*	PDF	N/A
AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization	Shixiong Xu, Chenghao Zhang, Lubin Fan, Gaofeng Meng, SHIMING XIANG, Jieping Ye	PDF	N/A
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation	Zhiyuan Zhang*, Licheng Yang, Zhiyu Xiang	PDF	N/A
StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models	Wen Li*, Muyuan Fang, Cheng Zou, Biao Gong, Ruobing Zheng, Meng Wang, Jingdong Chen, Ming Yang	PDF	N/A
Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation	Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Hai-Bo Ye, Sheng-Jun Huang*	PDF	N/A
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective	Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin	PDF	N/A
Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation	Zeyang Zhao, Qilong Xue, Yifan Bai, Yuhang He, Xing Wei*, Yihong Gong	PDF	N/A
SeiT++: Masked Token Modeling Improves Storage-efficient Training	Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim*	PDF	N/A
Rectify the Regression Bias in Long-Tailed Object Detection	Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu*	PDF	N/A
MagicEraser: Erasing Any Objects via Semantics-Aware Control	Fan Li*, Zixiao Zhang, Yi Huang, Jianzhuang Liu, Renjing Pei, Bin Shao, Songcen Xu	PDF	N/A
Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation	Haozhi Cao, Yuecong Xu, Jianfei Yang*, Pengyu Yin, Xingyu Ji, Shenghai Yuan, Lihua Xie	PDF	N/A
Stable Preference: Redefining training paradigm of human preference model for Text-to-Image Synthesis	Hanting Li, Hongjing Niu, Feng Zhao*	PDF	N/A
SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images	Jintu Zheng, Yi Ding, Qizhe Liu, Yuehui Chen, Yi Cao, Ying Hu, Zenan Wang*	PDF	N/A
NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model	Zhongqun Zhang, Hengfei Wang, Ziwei Yu, Yihua Cheng, Angela Yao, Hyung Jin Chang	PDF	N/A
Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities	Kaiwen Cai, ZheKai Duan, Gaowen Liu, Charles Fleming, Chris Xiaoxuan Lu*	PDF	N/A
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers	Zhengbo Zhang, Li Xu, Duo Peng, Hossein Rahmani, Jun Liu	PDF	N/A
Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification	Hai Ci, Pei Yang, Yiren Song, Mike Zheng Shou	PDF	N/A
3D Small Object Detection with Dynamic Spatial Pruning	Zhihao Sun, Ziwei Wang, Hongmin Liu, Jie Zhou, Jiwen Lu, Xiuwei Xu	PDF	N/A
STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning	Hao Cheng, SIYUAN YANG, Chong Wang, Joey Tianyi Zhou, Alex Kot, Bihan Wen*	PDF	N/A
Transferable 3D Adversarial Shape Completion using Diffusion Models	Xuelong Dai*, Bin Xiao	PDF	N/A
OmniSat: Self-Supervised Modality Fusion for Earth Observation	Guillaume Astruc*, Nicolas Gonthier, Clement Mallet, Loic Landrieu	PDF	N/A
Distilling Diffusion Models into Conditional GANs	MinGuk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park	PDF	N/A
Semantically Guided Representation Learning For Action Anticipation	Anxhelo Diko*, Danilo Avola, Bardh Prenkaj, Federico Fontana, Luigi Cinque	PDF	N/A
MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory	Juwon Kang, Nayeong Kim, Jungseul Ok, Suha Kwak	PDF	N/A
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions	Sohyun Lee, Namyup Kim, Sungyeon Kim, Suha Kwak*	PDF	N/A
ScanTalk: 3D Talking Heads from Unregistered Scans	Federico Nocentini*, Thomas Besnier, Claudio Ferrari, Sylvain Arguillere, Stefano Berretti, Mohamed Daoudi	PDF	N/A
Controllable Navigation Instruction Generation with Chain of Thought Prompting	Xianghao Kong, Jinyu Chen, Wenguan Wang, Hang Su, Xiaolin Hu, Yi Yang, Si Liu	PDF	N/A
GiT: Towards Generalist Vision Transformer through Universal Language Interface	Haiyang Wang*, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang	PDF	N/A
ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention	Chenhang He*, Ruihuang Li, Guowen Zhang, Lei Zhang	PDF	N/A
A Cephalometric Landmark Regression Method based on Dual-encoder for High-resolution X-ray Image	Chao Dai, yang wang*, Chaolin Huang, zhou jiakai, Qilin Xu, Minpeng Xu	PDF	N/A
Exploring the Feature Extraction and Relation Modeling For Light-Weight Transformer Tracking	Jikai Zheng, Mingjiang Liang, Shaoli Huang, Jifeng Ning*	PDF	N/A
LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment	Yiming Ren, Xiao Han, Yichen Yao, Xiaoxiao Long, Yujing Sun, Yuexin Ma	PDF	N/A
You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation	Mehdi Noroozi, Isma Hadji, Brais Martinez, Adrian Bulat, Georgios Tzimiropoulos*	PDF	N/A
Gaussian Grouping: Segment and Edit Anything in 3D Scenes	Mingqiao Ye, Martin Danelljan, Fisher Yu, Lei Ke*	PDF	N/A
CoMo: Controllable Motion Generation through Language Guided Pose Code Editing	Yiming Huang*, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, Lingjie Liu	PDF	N/A
MegaScenes: Scene-Level View Synthesis at Scale	Joseph Tung, Gene Chou*, Ruojin Cai, Guandao Yang, Kai Zhang, Gordon Wetzstein, Bharath Hariharan, Noah Snavely	PDF	N/A
SuperGaussian: Repurposing Video Models for 3D Super Resolution	Yuan Shen, Duygu Ceylan, Paul Guerrero, Zexiang Xu, Niloy J. Mitra, Shenlong Wang, Anna Fruehstueck*	PDF	N/A
Towards Model-Agnostic Dataset Condensation by Heterogeneous Models	Jun-Yeong Moon, Jung Uk Kim, Gyeong-Moon Park	PDF	N/A
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos	Kirolos Ataallah, Xiaoqian shen, Eslam mohamed abdelrahman, Essam Sleiman, Mingchen Zhuge, Jian Ding, Deyao Zhu, Jürgen Schmidhuber, Mohamed Elhoseiny	PDF	N/A
MeshFeat: Multi-Resolution Features for Neural Fields on Meshes	Mihir Mahajan, Florian Hofherr, Daniel Cremers	PDF	N/A
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning	Yi Wang*, Conrad M Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu	PDF	N/A
"MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"	Brandon McKinzie, Zhe Gan, Jean-Philippe Fauconnier, Samuel Dodge, Bowen Zhang, Philipp Dufter, Dhruti Shah, Futang Peng, Anton Belyi, Max A Schwarzer, Hongyu Hè, Xianzhi Du, Haotian Zhang, Karanjeet Singh, Doug Kang, Tom Gunter, Xiang Kong, Aonan Zhang, Jianyu Wang, Chong Wang, Nan Du, Tao Lei, Sam Wiseman, Mark Lee, Zirui Wang, Ruoming Pang, Peter Grasch, Alexander Toshev*, Yinfei Yang	PDF	N/A
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation	Yixiao Wang*, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi TOMIZUKA, Wei Zhan	PDF	N/A
2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction	Atsuya Nakata, Takao Yamanaka	PDF	N/A
Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models	Xiaoyu Zhu*, Hao Zhou, Pengfei Xing, Long Zhao, Hao Xu, Junwei Liang, Alexander G. Hauptmann, Ting Liu, Andrew Gallagher	PDF	N/A
D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction	Bowen Fu, Gu Wang, Chenyangguang Zhang, Yan Di, Ziqin Huang, Zhiying Leng, Fabian Manhardt, Xiangyang Ji, Federico Tombari	PDF	N/A
Combining Generative and Geometry Priors for Wide-Angle Portrait Correction	Lan Yao, Chaofeng Chen, Xiaoming Li*, Zifei Yan, Wangmeng Zuo	PDF	N/A
RealViformer: Investigating Attention for Real-World Video Super-Resolution	Yuehan Zhang*, Angela Yao	PDF	N/A
Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution	Yuehan Zhang*, Seungjun Lee, Angela Yao	PDF	N/A
Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation	zhao zhe*, Mengshi Qi, Huadong Ma	PDF	N/A
UniFS: Universal Few-shot Instance Perception with Point Representations	Sheng Jin, Ruijie Yao, Lumin Xu, Wentao Liu, Chen Qian, Ji Wu, Ping Luo*	PDF	N/A
SemanticHuman-HD: High Resolution Semantic disentangled 3D Human Generation	Peng Zheng, Tao Liu, Zili Yi, Rui Ma*	PDF	N/A
CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians	Avinash Paliwal*, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, Nima Khademi Kalantari	PDF	N/A
Monocular Occupancy Prediction for Scalable Indoor Scenes	Hongxiao Yu, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang*	PDF	N/A
Visual Grounding for Object-Level Generalization in Reinforcement Learning	Haobin Jiang, Zongqing Lu*	PDF	N/A
3DEgo: 3D Editing on the Go!	Umar Khalid, Hasan Iqbal, Azib Farooq, Jing Hua, Chen Chen*	PDF	N/A
Efficient Depth-Guided Urban View Synthesis	sheng miao*, Jiaxin Huang, Dongfeng Bai, Weichao Qiu, Liu Bingbing, Andreas Geiger, Yiyi Liao	PDF	N/A
Probabilistic Weather Forecasting with Deterministic Guidance-based Diffusion Model	Donggeun Yoon, Minseok Seo, Doyi Kim, Yeji Choi, Donghyeon Cho*	PDF	N/A
Domain-adaptive Video Deblurring via Test-time Blurring	Jin-Ting He*, Fu-Jen Tsai, Jia-Hao Wu, Yan-Tsung Peng, Chung-Chi Tsai, Chia-Wen Lin, Yen-Yu Lin	PDF	N/A
Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures	Jiaxing Huang, Yanfeng Zhou, Yaoru Luo, Guole Liu, Heng Guo, Ge Yang*	PDF	N/A
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving	William Ljungbergh*, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson	PDF	N/A
OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing	Pranav Gupta, Rishubh Singh, Pradeep Shenoy, Ravi Kiran Sarvadevabhatla	PDF	N/A
Progressive Pretext Task Learning for Human Trajectory Prediction	Xiaotong Lin, Tianming Liang, Jianhuang Lai, Jian-Fang Hu*	PDF	N/A
"Hyperion – A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAM"	David Hug*, Ignacio Alzugaray, Margarita Chli	PDF	N/A
Isomorphic Pruning for Vision Models	Gongfan Fang, Xinyin Ma, Michael Bi Mi, Xinchao Wang	PDF	N/A
Attention Prompting on Image for Large Vision-Language Models	Runpeng Yu, Weihao Yu, Xinchao Wang*	PDF	N/A
Learning Cross-hand Policies of High-DOF Reaching and Grasping	Qijin She, Shishun Zhang, Yunfan Ye, Ruizhen Hu, Kai Xu*	PDF	N/A
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression	Ting-Ru Liu*, Hsuan-Kung Yang, Jou-Min Liu, Chun-Wei Huang, Tsung-Chih Chiang, Quan Kong, Norimasa Kobori, Chun-Yi Lee	PDF	N/A
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning	Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang*, Lixin Fan, Qiang Yang	PDF	N/A
Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment	Zhanzhong Pang*, Fadime Sener, Shrinivas Ramasubramanian, Angela Yao	PDF	N/A
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models	Agneet Chatterjee*, Yiran Luo, Tejas Gokhale, Yezhou Yang, Chitta R Baral	PDF	N/A
DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing	Hyeonho Jeong, Jinho Chang, Geon Yeong Park, Jong Chul Ye*	PDF	N/A
VideoClusterNet: Self-Supervised and Adaptive Face Clustering for Videos	Devesh Walawalkar*, Pablo Garrido	PDF	N/A
Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients	Yiming Chen*, Xiangyu Yang, Nikos Deligiannis	PDF	N/A
Controlling the World by Sleight of Hand	Sruthi Sudhakar*, Ruoshi Liu, Basile Van Hoorick, Carl Vondrick, Richard Zemel	PDF	N/A
Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack	Mingyu Yang*, Daizong Liu, Keke Tang, Pan Zhou, Lixing Chen, Junyang Chen	PDF	N/A
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection	Yongwei Nie, Hao Huang, Chengjiang Long, Qing Zhang, Pradipta Maji, Hongmin Cai*	PDF	N/A
Cross-Domain Learning for Video Anomaly Detection with Limited Supervision	Yashika Jain, Ali Dabouei, Min Xu	PDF	N/A
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information	Chien-Yao Wang*, I-Hau Yeh, Hong-Yuan Mark Liao	PDF	N/A
Unsupervised Multi-modal Medical Image Registration via Invertible Translation	Mengjie Guo*	PDF	N/A
Functional Transform-Based Low-Rank Tensor Factorization for Multi-Dimensional Data Recovery	Jian-Li Wang, Xi-Le Zhao*	PDF	N/A
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model	Zhengyi Wang*, Yikai Wang, Yifei Chen, Chendong Xiang, Shuo Chen, Dajiang Yu, Chongxuan Li, Hang Su, Jun Zhu	PDF	N/A
Domain Reduction Strategy for Non-Line-of-Sight Imaging	Hyunbo Shim, In Cho, Daekyu Kwon, Seon Joo Kim*	PDF	N/A
HPE-Li: WiFi-enabled Lightweight Dual Selective Kernel Convolution for Human Pose Estimation	Toan D. Gian, Tien Dac Lai, Thien Van Luong, Kok-Seng Wong, Van-Dinh Nguyen*	PDF	N/A
Cut out the Middleman: Revisiting Pose-based Gait Recognition	Yang Fu, Saihui Hou, Shibei Meng, Xuecai Hu, Chunshui Cao, Xu Liu, Yongzhen Huang	PDF	N/A
HiEI: A Universal Framework for Generating High-quality Emerging Images from Natural Images	Jingmeng Li, Lukang Fu, Surun Yang, Hui Wei*	PDF	N/A
High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior	Jianbing Shen*, Wencheng Han	PDF	N/A
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM	Mingrui Li, Shuhong Liu, Heng Zhou, Guohao Zhu, Na Cheng, Tianchen Deng, Hongyu Wang*	PDF	N/A
View Selection for 3D Captioning via Diffusion Ranking	Tiange Luo*, Justin Johnson, Honglak Lee	PDF	N/A
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model	Runyi Li, Xuhan Sheng, Weiqi Li, Jian Zhang	PDF	N/A
UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models	Yiming Zhao, Zhouhui Lian	PDF	N/A
Confidence Self-Calibration for Multi-Label Class-Incremental Learning	Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu	PDF	N/A
OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models	Zhe Kong, Yong Zhang, Tianyu Yang, Tao Wang, Kaihao Zhang, Bizhu Wu, Guanying Chen, Wei Liu, Wenhan Luo*	PDF	N/A
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning	Min-Yeong Park, Jae-Ho Lee, Gyeong-Moon Park*	PDF	N/A
WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting	Jingjing Wu, Zhengyao Fang, Pengyuan Lyu, Chengquan Zhang, Fanglin Chen, Guangming Lu, Wenjie Pei*	PDF	N/A
An Incremental Unified Framework for Small Defect Inspection	Jiaqi Tang, Hao Lu, Xiaogang Xu, Ruizheng Wu, Sixing Hu, Tong Zhang, Tsz Wa Cheng, Ming Ge, Ying-Cong Chen*, Fugee Tsung	PDF	N/A
Enhancing Optimization Robustness in 1-bit Neural Networks through Stochastic Sign Descent	NianHui Guo*, Hong Guo, Christoph Meinel, Haojin Yang	PDF	N/A
Temporally Consistent Stereo Matching	Jiaxi Zeng, Chengtang Yao, Yuwei Wu, Yunde Jia	PDF	N/A
A Rotation-invariant Texture ViT for Fine-Grained Recognition of Esophageal Cancer Endoscopic Ultrasound Images	Tianyi Liu, Shuaishuai S Zhuang, Jiacheng Nie, Geng Chen , Yusheng Guo, Guangquan Zhou, Jean-Louis Coatrieux, Yang Chen	PDF	N/A
BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation	Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Kang Zhang, Yu-Jung Heo, Du-Seong Chang, Chang D. Yoo*	PDF	N/A
Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth	Zimin Xia*, Yujiao Shi, Hongdong Li, Julian F. P. Kooij	PDF	N/A
BeNeRF:Neural Radiance Fields from a Single Blurry Image and Event Stream	Wenpu Li, Pian Wan, Peng Wang, Jinghang Li, Yi Zhou, Peidong Liu*	PDF	N/A
Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework	Qiongjie Cui*, Huaijiang Sun, Bin Li, Jianfeng Lu, Weiqing Li	PDF	N/A
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation	Hajin Shim, Changhun Kim, Eunho Yang*	PDF	N/A
DreamDiffusion: High-Quality EEG-to-Image Generation with Temporal Masked Signal Modeling and CLIP Alignment	Yunpeng Bai*, Xintao Wang, Yan-Pei Cao, Yixiao Ge, Chun Yuan, Ying Shan	PDF	N/A
FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation	Honghao Xu, Juzhan Xu, Zeyu Huang, Pengfei Xu, Hui Huang, Ruizhen Hu*	PDF	N/A
BugNIST - a Large Volumetric Dataset for Detection under Domain Shift	Patrick M Jensen, Vedrana A Dahl, Rebecca Engberg, Carsten Gundlach, Hans Martin Kjer, Anders B Dahl*	PDF	N/A
SCP-Diff: Spatial-Categorical Joint Prior for Diffusion Based Semantic Image Synthesis	Huan-ang Gao, Mingju Gao, Jiaju Li, Wenyi Li, Rong Zhi, Hao Tang, Hao Zhao*	PDF	N/A
PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture	Zhuojun Li, Chun Yu, Chen Liang, Yuanchun Shi	PDF	N/A
PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation	Junsong Chen, Chongjian GE, Enze Xie*, Yue Wu, Lewei Yao, Xiaozhe Ren, Zhongdao Wang, Ping Luo, Huchuan Lu, Zhenguo Li	PDF	N/A
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection	Xincheng Yao, Ruoqi Li, Zefeng Qian, lu wang, Chongyang Zhang	PDF	N/A
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks	Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Meikang Qiu, Shu-Tao Xia	PDF	N/A
Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach	Aveen Dayal*, Rishabh Lalla, Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N Balasubramanian	PDF	N/A
HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting	Zhenglin Zhou*, Fan Ma, Hehe Fan, Zongxin Yang, Yi Yang	PDF	N/A
DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM	Yixuan Wu*, Yizhou Wang, Shixiang Tang, Wenhao Wu, Tong He, Wanli Ouyang, Philip Torr, Jian Wu	PDF	N/A
Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction	Rui Peng, Shihe Shen, Kaiqiang Xiong, Huachen Gao, Jianbo Jiao, Xiaodong Gu, Ronggang Wang*	PDF	N/A
HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance	Guian Fang*, Wenbiao Yan, Yuanfan Guo, Jianhua Han, Zutao Jiang, Hang Xu, Shengcai Liao, Xiaodan Liang	PDF	N/A
Multiscale Graph Texture Network	Ravishankar Evani*, Deepu Rajan, Shangbo Mao	PDF	N/A
HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis	Fangqin Zhou*, Mert Kilickaya, Joaquin Vanschoren, Ran Piao	PDF	N/A
Integer-Valued Training and Spike-driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection	Xinhao Luo, Man Yao, Yuhong Chou, Bo Xu, Guoqi Li*	PDF	N/A
RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception	Jianbing Shen, Chunliang Li, Wencheng Han, Junbo Yin, Sanyuan Zhao*	PDF	N/A
Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation	Hoyong Kwon, Jaeseok Jeong, Sung-Hoon Yoon, Kuk-Jin Yoon*	PDF	N/A
Group Testing for Accurate and Efficient Range-Based Near Neighbor Search for Plagiarism Detection	Harsh Shah, Kashish Mittal, Ajit Rajwade	PDF	N/A
CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization	K L Navaneet*, Kossar Pourahmadi Meibodi, Soroush Abbasi Koohpayegani, Hamed Pirsiavash	PDF	N/A
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection	Anay Majee, Ryan X Sharp, Rishabh Iyer	PDF	N/A
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models	Yixuan Ren*, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava	PDF	N/A
S-JEPA: A Joint Embedding Predictive Architecture for Skeletal Action Recognition	Mohamed Abdelfattah*, Alexandre Alahi	PDF	N/A
∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions	Minh-Quan Le*, Alexandros Graikos, Srikar Yellapragada, Rajarsi Gupta, Joel Saltz, Dimitris Samaras	PDF	N/A
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Image Editing	Jing Gu, Nanxuan Zhao, Wei Xiong, Qing Liu, Zhifei Zhang, He Zhang, Jianming Zhang, HyunJoon Jung, Yilin Wang, Xin Eric Wang*	PDF	N/A
Interaction-centric Spatio-Temporal Context Reasoning for Multi-Person Video HOI Recognition	Yisong Wang, Nan Xi*, Jingjing Meng, Junsong Yuan	PDF	N/A
Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing	Ioannis Maniadis Metaxas*, Georgios Tzimiropoulos, Ioannis Patras	PDF	N/A
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation	Yi Zhang, Yun Tang, Wenjie Ruan, Xiaowei Huang, Siddartha Khastgir, Paul A Jennings, Xingyu Zhao*	PDF	N/A
Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos	Akshay Paruchuri*, Samuel Ehrenstein, Shuxian Wang, Inbar Fried, Stephen Pizer, Marc Niethammer, Roni Sengupta	PDF	N/A
OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks	jingyang xiang*, Zuohui Chen, Siqi Li, Qing Wu, Yong Liu	PDF	N/A
Multistain Pretraining for Slide Representation Learning in Pathology	Guillaume Jaume, Anurag J Vaidya, Andrew Zhang, Andrew Song, Richard J Chen, Sharifa Sahai, Dandan Mo, Emilio Madrigal, Long P Le, Faisal Mahmood*	PDF	N/A
T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy	Qing Jiang, Feng Li, Zhaoyang Zeng, Shilong Liu, Tianhe Ren, Lei Zhang	PDF	N/A
Harmonizing knowledge Transfer in Neural Network with Unified Distillation	yaomin huang, Faming Fang, Zaoming Yan, Chaomin Shen, Guixu Zhang*	PDF	N/A
Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data	Shufan Li*, Aditya Grover, Harkanwar Singh	PDF	N/A
Click Prompt Learning with Optimal Transport for Interactive Segmentation	Jie Liu*, Haochen wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves	PDF	N/A
3D Human Pose Estimation via Non-Causal Retentive Networks	Kaili Zheng, Feixiang Lu, Yihao Lv, Liangjun Zhang, Chenyi Guo, Ji Wu	PDF	N/A
OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detection	Dongkwon Jin, Chang-Su Kim*	PDF	N/A
6DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face Geometry	Sungho Chun, Ju Yong Chang*	PDF	N/A
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging	Zongliang Wu*, Ruiying Lu, Ying Fu, Xin Yuan	PDF	N/A
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition	Masashi Hatano*, Ryo Hachiuma, Ryo Fujii, Hideo Saito	PDF	N/A
Enhancing Tampered Text Detection through Frequency Feature Fusion and Decomposition	Zhongxi Chen, Shen Chen, Taiping Yao, Ke Sun, Shouhong Ding, Xianming Lin, Liujuan Cao, Rongrong Ji	PDF	N/A
Modeling Label Correlations with Latent Context for Multi-Label Recognition	Zhaomin Chen, Quan Cui, Ruoxi Deng, Jie Hu, Guodao Zhang	PDF	N/A
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model	Yulin Luo, Ruichuan An, Bocheng Zou, Yiming Tang, Jiaming Liu, Shanghang Zhang*	PDF	N/A
Finding a needle in a haystack: A Black-Box Approach to Invisible Watermark Detection	Minzhou Pan*, Zhenting Wang, Xin Dong, Vikash Sehwag, Lingjuan Lyu, Xue Lin	PDF	N/A
DynoSurf: Neural Deformation-based Temporally Consistent Dynamic Surface Reconstruction	Yuxin Yao, Siyu Ren, Junhui Hou*, Zhi Deng, Juyong Zhang, Wenping Wang	PDF	N/A
MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos	Yihong Sun*, Bharath Hariharan	PDF	N/A
ARoFace: Alignment Robustness to Improve Low-quality Face Recognition	Mohammad Saeed Ebrahimi Saadabadi*, Sahar Rahimi Malakshan, Ali Dabouei, Nasser Nasrabadi	PDF	N/A
Learning Diffusion Models for Multi-View Anomaly Detection	Chieh Liu, Yu-Min Chu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu*	PDF	N/A
"Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame Interpolation"	Zhihang Zhong, Gurunandan Krishnan, Xiao Sun, Yu Qiao, Sizhuo Ma, Jian Wang	PDF	N/A
Multi-modal Relation Distillation for Unified 3D Representation Learning	Huiqun Wang, Yiping Bao, Panwang Pan, Zeming Li, Xiao Liu, Ruijie Yang, Di Huang*	PDF	N/A
Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization	Renjie Pi*, Tianyang Han, Wei Xiong, Jipeng ZHANG, Runtao Liu, Rui Pan, Tong Zhang	PDF	N/A
Collaborative Vision-Text Representation Optimizing for Open-Vocabulary Segmentation	Siyu Jiao, hongguang Zhu, Yunchao Wei, Yao Zhao, Jiannan Huang, Humphrey Shi	PDF	N/A
Distributionally Robust Loss for Long-Tailed Multi-Label Image Classification	Dekun Lin*, Zhe Cui, Rui Chen, Tailai Peng, xinran xie, Xiaolin Qin	PDF	N/A
MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation	Shuzhao Xie*, Weixiang Zhang, Chen Tang, Yunpeng Bai, Rongwei Lu, Shjia Ge, Zhi Wang	PDF	N/A
LongVLM: Efficient Long Video Understanding via Large Language Models	Yuetian Weng, Mingfei Han, Haoyu He, Xiaojun Chang, Bohan Zhuang*	PDF	N/A
The All-Seeing Project V2: Towards General Relation Comprehension of the Open World	Weiyun Wang, yiming ren, Haowen Luo, Tiantong Li, Chenxiang Yan, Zhe Chen, Wenhai Wang, Qingyun Li, Lewei Lu, Xizhou Zhu, Yu Qiao, Jifeng Dai*	PDF	N/A
Neural Metamorphosis	Xingyi Yang, Xinchao Wang	PDF	N/A
WHAC: World-grounded Humans and Cameras	Wanqi Yin, Zhongang Cai, Chen Wei, Fanzhou Wang, Ruisi Wang, Haiyi Mei, Weiye Xiao, Zhitao Yang, Qingping Sun, Atsushi Yamashita, Ziwei Liu, Lei Yang*	PDF	N/A
Federated Learning with Local Openset Noisy Labels	Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu	PDF	N/A
Diff3DETR: Agent-based Diffusion Model for Semi-supervised 3D Object Detection	Jiacheng Deng*, Jiahao Lu, Tianzhu Zhang	PDF	N/A
PSALM: Pixelwise Segmentation with Large Multi-modal Model	Zheng Zhang, yeyao ma, Enming Zhang, Xiang Bai*	PDF	N/A
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model	Shoma Iwai*, Atsuki Osanai, Shunsuke Kitada, Shinichiro Omachi	PDF	N/A
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images	Ruiqi Wang*, Akshay Gadi Patil, Fenggen Yu, Hao Zhang	PDF	N/A
Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture	Xuanchen Li, Yuhao Cheng, Xingyu Ren, Haozhe Jia, Di Xu, Wenhan Zhu, Yichao Yan*	PDF	N/A
Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities	Xu Zheng, Yuanhuiyi Lyu, Lin Wang	PDF	N/A
Kinetic Typography Diffusion Model	Seonmi Park, Inhwan Bae, Seunghyun Shin, Hae-Gon Jeon*	PDF	N/A
"Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction"	Shuchi Wu, Chuan Ma, Kang Wei*, Xiaogang XU, Ming Ding, Yuwen Qian, Di Xiao, Tao Xiang	PDF	N/A
Light-in-Flight for a World-in-Motion	Jongho Lee*, Ryan J Suess, Mohit Gupta	PDF	N/A
GroupDiff: Diffusion-based Group Portrait Editing	Yuming Jiang, Nanxuan Zhao*, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu	PDF	N/A
Faceptor: A Generalist Model for Face Perception	Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng	PDF	N/A
Inter-Class Topology Alignment for Efficient Black-Box Substitute Attacks	Lingzhuang Meng, Mingwen Shao*, Yuanjian Qiao, Wenjie Liu	PDF	N/A
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels	Rui Huang, Songyou Peng, Ayca Takmaz, Federico Tombari, Marc Pollefeys, Shiji Song, Gao Huang*, Francis Engelmann	PDF	N/A
InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping	zhenhua xu*, Kwan-Yee K. Wong, Hengshuang Zhao	PDF	N/A
KDProR: A Knowledge-Decoupling Probabilistic Framework for Video-Text Retrieval	Xianwei Zhuang*, Hongxiang Li, Xuxin Cheng, Zhihong Zhu, Yuxin Xie, Yuexian Zou	PDF	N/A
"Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images"	Chuanrui Zhang, Yonggen Ling, Minglei Lu, Minghan Qin, Haoqian Wang*	PDF	N/A
Learning with Unmasked Tokens Drives Stronger Vision Learners	Taekyung Kim, Sanghyuk Chun, Byeongho Heo, Dongyoon Han	PDF	N/A
Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken	Peifu Liu, Tingfa Xu, Jie Wang, Huan Chen, Huiyan Bai, Jianan Li	PDF	N/A
Multi-Task Domain Adaptation for Language Grounding with 3D Objects	Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu	PDF	N/A
Efficient Active Domain Adaptation for Semantic Segmentation by Selecting Information-rich Superpixels	Yuan Gao, Zilei Wang*, Yixin Zhang, Bohai Tu	PDF	N/A
Efficient Training of Spiking Neural Networks with Multi-Parallel Implicit Stream Architecture	Zhigao Cao, Meng Li, Xiashuang Wang, Haoyu Wang, Fan Wang, Youjun Li, Zigang Huang*	PDF	N/A
Camera-LiDAR Cross-modality Gait Recognition	Wenxuan Guo*, Yingping Liang, Zhiyu Pan, Ziheng Xi, Jianjiang Feng, Jie Zhou	PDF	N/A
LiteSAM is Actually what you Need for segment Everything	Jianhai Fu, Yuanjie Yu, Ningchuan Li, Yi Zhang, Qichao Chen, Jianping Xiong, Jun Yin, Zhiyu Xiang	PDF	N/A
IGNORE: Information Gap-based False Negative Loss Rejection for Single Positive Multi-Label Learning	Gyeong Ryeol Song, Noo-ri Kim, Jin-Seop Lee, Jee-Hyong Lee*	PDF	N/A
Visual Prompting via Partial Optimal Transport	Mengyu Zheng, Zhiwei Hao, Yehui Tang, Chang Xu	PDF	N/A
Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model	Guanren Qiao, Guiliang Liu*, Guorui Quan, Rongxiao Qu	PDF	N/A
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation	Chongjie Si, Xuehui Wang, Xiaokang Yang, Wei Shen*	PDF	N/A
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection	Yunkang Cao, Jiangning Zhang, Luca Frittoli, Yuqi Cheng, Weiming Shen, Giacomo Boracchi	PDF	N/A
Pathformer3D: A 3D Scanpath Transformer for 360° Images	Rong Quan, yantao Lai, Mengyu Qiu, Dong Liang*	PDF	N/A
TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection	Matic Fučka*, Vitjan Zavrtanik, Danijel Skočaj	PDF	N/A
SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection	Hongcheng Zhang, Liu Liang, Pengxin Zeng*, Xiao Song, Zhe Wang	PDF	N/A
3D Gaussian Parametric Head Model	Yuelang Xu, Lizhen Wang, Zerong Zheng, Zhaoqi Su, Yebin Liu*	PDF	N/A
RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields	Doriand Petit*, Steve Bourgeois, Dumitru Pavel, Vincent Gay-Bellile, Florian Chabot, Loïc Barthe	PDF	N/A
Platypus: A Generalized Specialist Model for Reading Text in Various Forms	Peng Wang, Zhaohai Li, Jun Tang, Humen Zhong, Fei Huang, Zhibo Yang, Cong Yao	PDF	N/A
Structured-NeRF: Hierarchical Scene Graph with Neural Representation	Zhide Zhong, Jiakai Cao, songen gu, Sirui Xie, Liyi Luo, Hao Zhao, Guyue Zhou, Haoang Li, Zike Yan*	PDF	N/A
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation	Nikolai Körber*, Eduard Kromer, Andreas Siebert, Sascha Hauke, Daniel Mueller-Gritschneder, Björn Schuller	PDF	N/A
Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography	Romain Vo*, Julie Escoda, Caroline Vienne, Etienne Decenciere	PDF	N/A
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving	Zhili Chen, Maosheng Ye, Shuangjie Xu, Tongyi Cao, Qifeng Chen*	PDF	N/A
Test-Time Stain Adaptation with Diffusion Models for Histopathology Image Classification	Cheng-Chang Tsai, Yuan-Chih Chen, Chun-Shien Lu	PDF	N/A
Beyond MOT: Semantic Multi-Object Tracking	Yunhao Li, Qin Li, Hao Wang, Xue Ma, Jiali Yao, Shaohua Dong, Heng Fan, Libo Zhang*	PDF	N/A
Temporal Event Stereo via Joint Learning with Stereoscopic Flow	Hoonhee Cho, Jae-Young Kang, Kuk-Jin Yoon*	PDF	N/A
SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection	Huafeng Chen, Pengxu Wei, Guangqian Guo, Shan Gao*	PDF	N/A
Just a Hint: Point-Supervised Camouflaged Object Detection	Huafeng Chen, Dian SHAO, Guangqian Guo, shan gao	PDF	N/A
ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation	Guanxing Lu, Shiyi Zhang, Ziwei Wang*, Changliu Liu, Jiwen Lu, Yansong Tang	PDF	N/A
Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection	Xingyu Peng, Yan Bai, Chen Gao, Lirong Yang, Fei Xia, Beipeng Mu, Xiaofei Wang, Si Liu*	PDF	N/A
Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection	Zhili Chen, Shuangjie Xu, Maosheng Ye, Zian Qian, Xiaoyi Zou, Dit-Yan Yeung, Qifeng Chen*	PDF	N/A
View-Consistent 3D Editing with Gaussian Splatting	Yuxuan Wang*, Xuanyu Yi, Zike Wu, Na Zhao, Long Chen, Hanwang Zhang	PDF	N/A
E3V-K5: An Authentic Benchmark for Redefining Video-Based Energy Expenditure Estimation	Shengxuming Zhang, Lei Jin, Yifan Wang, Xinyu Wang, Xu Wen, Zunlei Feng*, Mingli Song	PDF	N/A
GeoGaussian: Geometry-aware Gaussian Splatting for Scene Rendering	Yanyan Li*, Chenyu Lyu, Yan Di, Guangyao Zhai, Gim Hee Lee, Federico Tombari	PDF	N/A
URS-NeRF: Unordered Rolling Shutter Bundle Adjustment for Neural Radiance Fields	Bo Xu*, Liu Ziao, Mengqi Guo, jiancheng Li, Gim Hee Lee	PDF	N/A
InstructIR: High-Quality Image Restoration Following Human Instructions	Marcos V. Conde*, Gregor Geigle, Radu Timofte	PDF	N/A
Asynchronous Large Language Model Enhanced Planner for Autonomous Driving	Yuan Chen, Zi-han Ding, Ziqin Wang, Yan Wang, Lijun Zhang, Si Liu	PDF	N/A
Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation	Lanqing Guo, Yingqing HE, Haoxin Chen, Menghan Xia, Xiaodong Cun, Yufei Wang, Siyu Huang, Yong Zhang, Xintao Wang, Qifeng Chen, Ying Shan, Bihan Wen*	PDF	N/A
LayoutFlow: Flow Matching for Layout Generation	Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama	PDF	N/A
Making Large Language Models Better Planners with Reasoning-Decision Alignment	Zhijian Huang, Tao Tang, Shaoxiang Chen, Sihao Lin, Zequn Jie, Lin Ma, Guangrun Wang, Xiaodan Liang*	PDF	N/A
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection	Zheyuan Zhou, Le Wang, Naiyu Fang, Zili Wang, Lemiao Qiu*, Shuyou Zhang	PDF	N/A
Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization	Wei Huang*, Yilei Shi, Zhitong Xiong, Xiao Xiang Zhu	PDF	N/A
Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference	Qian Liang, Yan Chen, Yang Hu*	PDF	N/A
An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes	Zhengyi Zhao, Chen Song, Xiaodong Gu, Yuan Dong, Qi Zuo, Weihao Yuan, Zilong Dong, Liefeng Bo, Qixing Huang	PDF	N/A
STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians	Yifei Zeng, Yanqin Jiang, Siyu Zhu, Yuanxun Lu, Youtian Lin, Hao Zhu, Weiming Hu, Xun Cao, Yao Yao*	PDF	N/A
RGBD GS-ICP SLAM	Seongbo Ha, Jiung Yeon, Hyeonwoo Yu*	PDF	N/A
Efficient NeRF Optimization - Not All Samples Remain Equally Hard	Juuso Korhonen*, Goutham Rangu, Hamed Rezazadegan Tavakoli, Juho Kannala	PDF	N/A
Revisiting Calibration of Wide-Angle Radially Symmetric Cameras	Andrea Porfiri Dal Cin, Francesco Azzoni, Giacomo Boracchi, Luca Magri	PDF	N/A
Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs	Georgy Perevozchikov, Nancy Mehta, Mahmoud Afifi, Radu Timofte	PDF	N/A
Robust Incremental Structure-from-Motion with Hybrid Features	Shaohui Liu*, Yidan Gao, Tianyi Zhang, Rémi Pautrat, Johannes L Schönberger, Viktor Larsson, Marc Pollefeys	PDF	N/A
Revisiting Domain-Adaptive Object Detection in Adverse Weather by the Generation and Composition of High-Quality Pseudo-Labels	Rui Zhao, Huibin Yan, Shuoyao Wang*	PDF	N/A
Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment	Yufan Liu*, Wanqian Zhang, Dayan Wu, Zheng Lin, jingzi Gu, Weiping Wang	PDF	N/A
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models	Qinyu Yang, Haoxin Chen, Yong Zhang, Menghan Xia, Xiaodong Cun, Zhixun Su, Ying Shan	PDF	N/A
UniCal: Unified Neural Sensor Calibration	Ze Yang, George G Chen, Haowei Zhang, Kevin Ta, Ioan Andrei Bârsan, Daniel Murphy, Sivabalan Manivasagam, Raquel Urtasun*	PDF	N/A
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models	Longxiang Tang*, Zhuotao Tian, Kai Li, Chunming He, Hantao Zhou, Hengshuang Zhao, Xiu Li, Jiaya Jia	PDF	N/A
Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter	Suqi Song, Chenxu Zhang, Peng Zhang, Pengkun Li, Fenglong Song, Lei Zhang*	PDF	N/A
Pseudo-Embedding for Generalized Few-Shot Point Cloud Segmentation	Chih-Jung Tsai, Hwann-Tzong Chen*, Tyng-Luh Liu	PDF	N/A
WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering	Pingyi Chen, Chenglu Zhu, Sunyi Zheng, Honglin Li, Lin Yang	PDF	N/A
ReMoS: 3D Motion-Conditioned Reaction Synthesis for Two-Person Interactions	Anindita Ghosh*, Rishabh Dabral, Vladislav Golyanik, Christian Theobalt, Philipp Slusallek	PDF	N/A
Statewide Visual Geolocalization in the Wild	Florian Fervers*, Sebastian Bullinger, Christoph Bodensteiner, Michael Arens, Rainer Stiefelhagen	PDF	N/A
Any2Point: Empowering Any-modality Transformers for Efficient 3D Understanding	Yiwen Tang, Ray Zhang, Jiaming Liu, Zoey Guo, Bin Zhao, Zhigang Wang, Dong Wang, Peng Gao, Hongsheng Li, Xuelong Li	PDF	N/A
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition	Pulkit Kumar*, Namitha Padmanabhan, Luke Luo, Sai Saketh Rambhatla, Abhinav Shrivastava	PDF	N/A
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval	Thomas Hummel*, Shyamgopal Karthik, Mariana-Iuliana Georgescu, Zeynep Akata	PDF	N/A
Synchronization of Projective Transformations	Rakshith Madhavan*, Andrea Fusiello, Federica Arrigoni	PDF	N/A
TLControl: Trajectory and Language Control for Human Motion Synthesis	Weilin Wan*, Zhiyang Dou, Taku Komura, Wenping Wang, Dinesh Jayaraman, Lingjie Liu	PDF	N/A
Insect Identification in the Wild: The AMI Dataset	Aditya Jain*, Fagner Cunha, Michael J Bunsen, Juan Sebastián Cañas, Léonard Pasi, Nathan Pinoy, Flemming Helsing, JoAnne Russo, Marc S Botham, Michael Sabourin, Jonathan Fréchette, Alexandre Anctil, Yacksecari Lopez, Eduardo Navarro, Filonila Pérez, Ana C Zamora, Jose Alejandro Ramirez-Silva, Jonathan Gagnon, Tom A August, Kim Bjerge, Alba Gomez Segura, Marc Belisle, Yves Basset, Kent P McFarland, David B Roy, Toke T Høye, Maxim Larrivee, David Rolnick	PDF	N/A
Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network	Junyan Ye, Zhutao Lv, Weijia Li, Jinhua Yu, Haote Yang, Huaping Zhong, Conghui He	PDF	N/A
F-HOI: Toward Fine-grained Semantic-Aligned 3D Human-Object Interactions	Jie Yang, Xuesong Niu, Nan Jiang, Ruimao Zhang, Siyuan Huang	PDF	N/A
Test-time Model Adaptation for Image Reconstruction Using Self-supervised Adaptive Layers	Yutian Zhao, Tianjing Zhang, Hui Ji*	PDF	N/A
SHIC: Shape-Image Correspondences with no Keypoint Supervision	Aleksandar Shtedritski*, Christian Rupprecht, Andrea Vedaldi	PDF	N/A
GenRC: Generative 3D Room Completion from Sparse Image Collections	Ming-Feng Li*, Yueh-Feng Ku, Hong-Xuan Yen, Chi Liu, Yu-Lun Liu, Albert Y Chen, Cheng-Hao Kuo, Min Sun	PDF	N/A
A Probability-guided Sampler for Neural Implicit Surface Rendering	Gonçalo José Dias Pais, Valter André Piedade, Moitreya Chatterjee, Marcus Greiff, Pedro Miraldo*	PDF	N/A
ReMatching: Low-Resolution Representations for Scalable Shape Correspondence	Filippo Maggioli*, Daniele Baieri, Emanuele Rodola, Simone Melzi	PDF	N/A
Where am I? Scene Retrieval with Language	Jiaqi Chen*, Daniel Barath, Iro Armeni, Marc Pollefeys, Hermann Blum	PDF	N/A
This Probably Looks Exactly Like That: An Invertible Prototypical Network	Zachariah Carmichael*, Timothy P Redgrave, Daniel Gonzalez Cedre, Walter Scheirer	PDF	N/A
Arc2Face: A Foundation Model for ID-Consistent Human Faces	Foivos Paraperas Papantoniou*, Alexandros Lattas, Stylianos Moschoglou, Jiankang Deng, Bernhard Kainz, Stefanos Zafeiriou	PDF	N/A
PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations	Yang Zheng*, Qingqing Zhao, Guandao Yang, Wang Yifan, Donglai Xiang, Florian Dubost, Dmitry Lagun, Thabo Beeler, Federico Tombari, Leonidas Guibas, Gordon Wetzstein	PDF	N/A
Revisiting Feature Disentanglement Strategy in Diffusion Training and Breaking Conditional Independence Assumption in Sampling	Wonwoong Cho, Hareesh Ravi, Midhun Harikumar, Vinh Khuc, Krishna Kumar Singh, Jingwan Lu, David Iseri Inouye, Ajinkya Kale	PDF	N/A
SweepNet: Unsupervised Learning Shape Abstraction via Neural Sweepers	Mingrui Zhao*, Yizhi Wang, Fenggen Yu, Changqing Zou, Ali Mahdavi-Amiri	PDF	N/A
Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions	Jiacong Xu*, Mingqian Liao, Ram Prabhakar Kathirvel, Vishal Patel	PDF	N/A
On the Viability of Monocular Depth Pre-training for Semantic Segmentation	Dong Lao*, Fengyu Yang, Daniel Wang, Hyoungseob Park, Samuel Lu, Alex Wong, Stefano Soatto	PDF	N/A
Fairness-aware Vision Transformer via Debiased Self-Attention	Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu*	PDF	N/A
EgoPet: Egomotion and Interaction Data from an Animal's Perspective	Amir Bar*, Arya Bakhtiar, Danny L Tran, Antonio Loquercio, Jathushan Rajasegaran, yann lecun, Amir Globerson, Trevor Darrell	PDF	N/A
Deep Companion Learning: Enhancing Generalization Through Historical Consistency	Ruizhao Zhu, Venkatesh Saligrama	PDF	N/A
Neural graphics texture compression supporting random access	Farzad Farhadzadeh*, Qiqi Hou, Hoang Le, Amir Said, Randall R Rauwendaal, Alex Bourd, Fatih Porikli	PDF	N/A
Contrastive Learning with Synthetic Positives	Dewen Zeng*, Xinrong Hu, Yawen Wu, Xiaowei Xu, Yiyu Shi	PDF	N/A
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features	Luc P.J. Sträter*, Mohammadreza Salehi, Efstratios Gavves, Cees G.M. Snoek, Yuki M. Asano	PDF	N/A
Interpretability-Guided Test-Time Adversarial Defense	Akshay Kulkarni*, Tsui-Wei Weng	PDF	N/A
DIM: Dyadic Interaction Modeling for Social Behavior Generation	Minh Tran*, Di Chang, Maksim Siniukov, Mohammad Soleymani	PDF	N/A
Tri^{2}-plane: Thinking Head Avatar via Feature Pyramid	Luchuan Song*, Pinxin Liu, Lele Chen, Guojun Yin, Chenliang Xu	PDF	N/A
ControlCap: Controllable Region-level Captioning	Yuzhong Zhao, Liu Yue, Zonghao Guo, weijia wu, Chen Gong, Qixiang Ye, Fang Wan*	PDF	N/A
Free Lunch for Gait Recognition: A Novel Relation Descriptor	Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Tianzhu Zhang, Liang Wang	PDF	N/A
SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding	Weitai Kang*, Gaowen Liu, Mubarak Shah, Yan Yan	PDF	N/A
Adaptive Correspondence Scoring for Unsupervised Medical Image Registration	Xiaoran Zhang*, John C. Stendahl, Lawrence H. Staib, Albert J. Sinusas, Alex Wong, James S. Duncan	PDF	N/A
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models	Nithin Gopalakrishnan Nair*, Jeya Maria Jose Valanarasu, Vishal Patel	PDF	N/A
Watch Your Steps: Local Image and Scene Editing by Text Instructions	Ashkan Mirzaei*, Tristan T Aumentado-Armstrong, Marcus A Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G Derpanis, Igor Gilitschenski	PDF	N/A
Forget More to Learn More: Domain-specific Feature Unlearning for Semi-supervised and Unsupervised Domain Adaptation	Hritam Basak*, Zhaozheng Yin	PDF	N/A
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences	Anh Thai*, Weiyao Wang, Hao Tang, Stefan Stojanov, James M Rehg, Matt Feiszli	PDF	N/A
Idea2Img: Iterative Self-Refinement with GPT-4V for Automatic Image Design and Generation	Zhengyuan Yang*, Jianfeng Wang, Linjie Li, Kevin Lin, Chung-Ching Lin, Zicheng Liu, Lijuan Wang	PDF	N/A
Human-in-the-Loop Visual Re-ID for Population Size Estimation	Gustavo Perez*, Daniel Sheldon, Grant Van Horn, Subhransu Maji	PDF	N/A
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation	Lingchen Meng, Shiyi Lan, Hengduo Li, Jose M Alvarez, Zuxuan Wu*, Yu-Gang Jiang	PDF	N/A
"PointNeRF++: A multi-scale, point-based Neural Radiance Field"	Weiwei Sun, Eduard Trulls, Yang-Che Tseng, Sneha Sambandam, Gopal Sharma, Andrea Tagliasacchi, Kwang Moo Yi*	PDF	N/A
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties	Junfei Xiao, Ziqi Zhou, Wenxuan Li, Shiyi Lan, Jieru Mei, Zhiding Yu, Bingchen Zhao, Alan Yuille, Yuyin Zhou, Cihang Xie*	PDF	N/A
UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding	Bowen Shi, Peisen Zhao, Zichen Wang, Yuhang Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian, Xiaopeng Zhang*	PDF	N/A
Fast View Synthesis of Casual Videos with Soup-of-Planes	Yao-Chih Lee, Zhoutong Zhang, Kevin Blackburn-Matzen, Simon Niklaus, Jianming Zhang, Jia-Bin Huang, Feng Liu	PDF	N/A
Adaptive Human Trajectory Prediction via Latent Corridors	Neerja Thakkar*, Karttikeya Mangalam, Andrea Bajcsy, Jitendra Malik	PDF	N/A
Video Question Answering with Procedural Programs	Rohan Choudhury*, Koichiro Niinuma, Kris Kitani, Laszlo A Jeni	PDF	N/A
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification	Wenhui Zhu*, Xiwen Chen, Peijie Qiu, Aristeidis Sotiras, Abolfazl Razi, Yalin Wang	PDF	N/A
TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling	Dong Huo*, Zixin Guo, Xinxin Zuo, Zhihao Shi, Juwei Lu, Peng Dai, Songcen Xu, Li Cheng, Yee-Hong Yang	PDF	N/A
C2C: Component-to-Composition Learning for Zero-Shot Compositional Action Recognition	Rongchang Li, Zhenhua Feng, Tianyang Xu, Linze Li, Xiao-Jun Wu*, Muhammad Awais, Sara Atito, Josef Kittler	PDF	N/A
LLMGA: Multimodal Large Language Model based Generation Assistant	bin xia*, Shiyin Wang, Yingfan Tao, Yitong Wang, Jiaya Jia	PDF	N/A
Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos	Mi Luo*, Zihui Xue, Alex Dimakis, Kristen Grauman	PDF	N/A
Shape from Heat Conduction	Sriram Narayanan*, Mani Ramanagopal, Mark Sheinin, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan	PDF	N/A
An Adaptive Screen-Space Meshing Approach for Normal Integration	Moritz Heep*, Eduard Zell	PDF	N/A
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation	Seung Hyun Lee, Yinxiao Li, Junjie Ke, Innfarn Yoo, Han Zhang, Jiahui Yu, Qifei Wang, Fei Deng, Glenn Entis, Junfeng He, Gang Li, Sangpil Kim, Irfan Essa, Feng Yang	PDF	N/A
HandDGP: Camera-Space Hand Mesh Prediction with Differentiable Global Positioning	Eugene Valassakis, Guillermo Garcia-Hernando*	PDF	N/A
Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning	Yibing Wei, Abhinav Gupta, Pedro Morgado	PDF	N/A
Nuvo: Neural UV Mapping for Unruly 3D Representations	Pratul Srinivasan*, Stephan J Garbin, Dor Verbin, Jonathan T Barron, Ben Mildenhall	PDF	N/A
Towards High-Quality 3D Motion Transfer with Realistic Apparel Animation	Rong Wang*, Wei Mao, Changsheng Lu, HONGDONG LI	PDF	N/A
AnyHome: Open-Vocabulary Large-Scale Indoor Scene Generation with First-Person View Exploration	Rao Fu*, Zehao Wen, Zichen Liu , Srinath Sridhar	PDF	N/A
Better Call SAL: Towards Learning to Segment Anything in Lidar	Aljosa Osep*, Tim Meinhardt, Francesco Ferroni, Neehar Peri, Deva Ramanan, Laura Leal-Taixé	PDF	N/A
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control	Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov*	PDF	N/A
"DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement"	Qimin Chen*, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri	PDF	N/A
Scene-aware Human Motion Forecasting via Mutual Distance Prediction	Chaoyue Xing*, Wei Mao, Miaomiao Liu	PDF	N/A
FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting	Zehao Zhu, Zhiwen Fan, Yifan Jiang, Zhangyang Wang	PDF	N/A
Open Panoramic Segmentation	Junwei Zheng, Ruiping Liu, Yufan Chen, Kunyu Peng, Chengzhi Wu, Kailun Yang, Jiaming Zhang*, Rainer Stiefelhagen	PDF	N/A
iMatching: Imperative Correspondence Learning	Zitong Zhan, Dasong Gao, Yun-Jou Lin, Youjie Xia, Chen Wang	PDF	N/A
COSMU: Complete 3D human shape from monocular unconstrained images	Marco Pesavento*, Marco Volino, Adrian Hilton	PDF	N/A
MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps	Jianhao Zheng, Daniel Barath, Marc Pollefeys, Iro Armeni	PDF	N/A
Appearance-based Refinement for Object-Centric Motion Segmentation	Junyu Xie*, Weidi Xie, Andrew Zisserman	PDF	N/A
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance	Lukas Hoyer*, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari	PDF	N/A
Open Vocabulary Multi-Label Video Classification	Rohit Gupta*, Mamshad Nayeem Rizve, Jayakrishnan Unnikrishnan, Ashish Tawari, Son Tran, Mubarak Shah, Benjamin Yao, Trishul A Chilimbi	PDF	N/A
Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data	Xiaofan Que, Qi Yu*	PDF	N/A
Regularizing Dynamic Radiance Fields with Kinematic Fields	Woobin Im, Geonho Cha, Sebin Lee, Jumin Lee, Juhyeong Seon, Dongyoon Wee, Sungeui Yoon*	PDF	N/A
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation	Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Daniel Cremers, Marc Pollefeys, Luc Van Gool	PDF	N/A
Efficient Pre-training for Localized Instruction Generation of Procedural Videos	Anil Batra*, Davide Moltisanti, Laura Sevilla-Lara, Marcus Rohrbach, Frank Keller	PDF	N/A
MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution	Yuxuan Jiang*, Chen Feng, Fan Zhang, David Bull	PDF	N/A
DEAL: Disentangle and Localize Concept-level Explanations for VLMs	Tang Li*, Mengmeng Ma, Xi Peng	PDF	N/A
Fast Encoding and Decoding for Implicit Video Representation	Hao Chen*, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava	PDF	N/A
Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models	Zhengming Yu, Zhiyang Dou, Xiaoxiao Long, Cheng Lin, Zekun Li, Yuan Liu, Norman Müller, Taku Komura, Marc Habermann, Christian Theobalt, Xin Li, Wenping Wang	PDF	N/A
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following	Qiaomu Miao*, Alexandros Graikos, Jingwei Zhang, Sounak Mondal, Minh Hoai, Dimitris Samaras	PDF	N/A
IMMA: Immunizing text-to-image Models against Malicious Adaptation	Amber Yijia Zheng*, Raymond A. Yeh	PDF	N/A
Motion-Oriented Compositional Neural Radiance Fields for Monocular Dynamic Human Modeling	Jaehyeok Kim, Dongyoon Wee, Dan Xu*	PDF	N/A
GeoCalib: Learning Single-image Calibration with Geometric Optimization	Alexander Veicht, Paul-Edouard Sarlin, Philipp Lindenberger, Marc Pollefeys	PDF	N/A
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation	Zihao Xiao*, Longlong Jing, Shangxuan Wu, Alex Zihao Zhu, Jingwei Ji, Chiyu Max Jiang, Wei-Chih Hung, Thomas Funkhouser, Weicheng Kuo, Anelia Angelova, Yin Zhou, Shiwei Sheng	PDF	N/A
Semicalibrated Relative Pose from an Affine Correspondence and Monodepth	Petr Hruby*, Marc Pollefeys, Daniel Barath	PDF	N/A
Global Structure-from-Motion Revisited	Linfei Pan*, Daniel Barath, Marc Pollefeys, Johannes L Schönberger	PDF	N/A
MobileNetV4: Universal Models for the Mobile Ecosystem	Danfeng Qin*, Chas H Leichner, Manolis Delakis, Marco Fornoni, Shixin Luo, Fan Yang, Weijun Wang, Colby Banbury, Chengxi Ye, Berkin Akin, Vaibhav Aggarwal, Tenghui Zhu, Daniele Moro, Andrew Howard	PDF	N/A
Gravity-aligned Rotation Averaging with Circular Regression	Linfei Pan*, Marc Pollefeys, Daniel Barath	PDF	N/A
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation	Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang	PDF	N/A
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments	Djamahl Etchegaray*, Zi Helen Huang, Tatsuya Harada, Yadan Luo	PDF	N/A
Quanta Video Restoration	Prateek Chennuri, Yiheng Chi, Enze Jiang, GM Dilshan Godaliyadda, Abhiram Gnanasambandam, Hamid R Sheikh, Istvan Gyongy, Stanley H Chan	PDF	N/A
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models	Rohit Gandikota*, Joanna Materzynska, Tingrui Zhou, Antonio Torralba, David Bau	PDF	N/A
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model	Aoran Xiao, Weihao Xuan, Heli Qi, Yun Xing, Ruijie Ren, Xiaoqin Zhang, Ling Shao, Shijian Lu*	PDF	N/A
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image	Hallee E. Wong*, Marianne Rakic, John Guttag, Adrian V. Dalca	PDF	N/A
POCA: Post-training Quantization with Temporal Alignment for Codec Avatars	Jian Meng, Yuecheng Li, Leo (Chenghui) Li, Syed Shakib Sarwar, Dilin Wang, Jae-sun Seo*	PDF	N/A
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts	Wonjae Kim*, Sanghyuk Chun, Taekyung Kim, Dongyoon Han, Sangdoo Yun	PDF	N/A
Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras	Hoonhee Cho, Sung-Hoon Yoon, Hyeokjun Kweon, Kuk-Jin Yoon*	PDF	N/A
Unsupervised Dense Prediction using Differentiable Normalized Cuts	Yanbin Liu*, Stephen Gould	PDF	N/A
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training	Cheng Tan, Jingxuan Wei, Zhangyang Gao, Linzhuang Sun, Siyuan Li, Ruifeng Guo, BiHui Yu, Stan Z. Li*	PDF	N/A
Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization	Jooyeol Yun*, Jaegul Choo	PDF	N/A
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion	Yitong Jiang, Zhaoyang Zhang, Tianfan Xue, Jinwei Gu	PDF	N/A
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers	Chi-Pin Huang*, Kai-Po Chang, Chung-Ting Tsai, Yung-Hsuan Lai, Fu-En Yang, Yu-Chiang Frank Wang	PDF	N/A
EINet: Point Cloud Completion via Extrapolation and Interpolation	Pingping Cai*, Canyu Zhang, LINGJIA SHI, Lili Wang, Nasrin Imanpour, Song Wang	PDF	N/A
Personalized Video Relighting With an At-Home Light Stage	Jun Myeong Choi*, Max Christman, Roni Sengupta	PDF	N/A
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction	Lin Zhu*, Yunlong Zheng, Yijun Zhang, Xiao Wang, Lizhi Wang, Hua Huang	PDF	N/A
A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks	Feiyu CHEN*, Wei Lin, Ziquan Liu, Antoni Chan	PDF	N/A
SPIRE: Semantic Prompt-Driven Image Restoration	Chenyang QI*, Zhengzhong Tu, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Qifeng Chen, Hossein Talebi	PDF	N/A
Free-ATM: Harnessing Free Attention Masks for Representation Learning on Diffusion-Generated Images	David Junhao Zhang, Mutian Xu, Jay Zhangjie Wu, Chuhui Xue, Wenqing Zhang, Xiaoguang Han, Song Bai, Mike Zheng Shou	PDF	N/A
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution	XIANG ZHANG*, Yulun Zhang, Fisher Yu	PDF	N/A
Audio-Synchronized Visual Animation	Lin Zhang, Shentong Mo, Yijing Zhang, Pedro Morgado*	PDF	N/A
Expressive Whole-Body 3D Gaussian Avatar	Gyeongsik Moon*, Takaaki Shiratori, Shunsuke Saito	PDF	N/A
Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning	Ali Cheraghian*, Zeeshan Hayder, Sameeea Ramasinghe, Shafin Rahman, Javad Jafaryahya, Lars Petersson, Mehrtash Harandi	PDF	N/A
Controllable Human-Object Interaction Synthesis	Jiaman Li*, Alexander Clegg, Roozbeh Mottaghi, Jiajun Wu, Xavier Puig, C. Karen Liu	PDF	N/A
High-Fidelity and Transferable NeRF Editing by Frequency Decomposition	Yisheng He, Weihao Yuan, Siyu Zhu, Zilong Dong, Liefeng Bo, Qixing Huang	PDF	N/A
DoughNet: A Visual Predictive Model for Topological Manipulation of Deformable Objects	Dominik Bauer*, Zhenjia Xu, Shuran Song	PDF	N/A
PAV: Personalized Head Avatar from Unstructured Video Collection	Akin Caliskan*, Berkay Kicanaoglu, Hyeongwoo Kim	PDF	N/A
Strike a Balance in Continual Panoptic Segmentation	Jinpeng Chen, Runmin Cong, Yuxuan Luo, Horace Ho Shing Ip, Sam Kwong	PDF	N/A
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation	Dahyun Kang, Minsu Cho*	PDF	N/A
MultiDelete for Multimodal Machine Unlearning	Jiali Cheng*, Hadi Amiri	PDF	N/A
Unified Local-Cloud Decision-Making via Reinforcement Learning	Kathakoli Sengupta, Zhongkai Shangguan, Sandesh Bharadwaj, Sanjay Arora, Eshed Ohn-Bar*, Renato Mancuso	PDF	N/A
UniTalker: Scaling up Audio-Driven 3D Facial Animation through A Unified Model	Xiangyu Fan, Jiaqi Li, Zhiqian Lin, Weiye Xiao, Lei Yang	PDF	N/A
Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation	Yuanchen Ju, Kaizhe Hu, Guowei Zhang, Gu Zhang, Mingrun Jiang, Huazhe Xu*	PDF	N/A
Efficient Frequency-Domain Image Deraining with Contrastive Regularization	Ning Gao, Xingyu Jiang, Xiuhui Zhang, Yue Deng*	PDF	N/A
Stitched ViTs are Flexible Vision Backbones	Zizheng Pan, Jing Liu, Haoyu He, Jianfei Cai, Bohan Zhuang	PDF	N/A
TrajPrompt: Aligning Color Trajectory with Vision-Language Representations	Li-Wu Tsao, Hao-Tang Tsui, Yu-Rou Tuan, Pei-Chi Chen, Kuan-Lin Wang, Jhih-Ciang Wu, Hong-Han Shuai, Wen-Huang Cheng	PDF	N/A
SemReg: Semantics Constrained Point Cloud Registration	Sheldon Fung, Xuequan Lu*, Dasith de Silva Edirimuni, Wei Pan, Xiao Liu, HONGDONG LI	PDF	N/A
Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views	Yabo Chen, Jiemin Fang, Yuyang Huang, Taoran Yi, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian	PDF	N/A
RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception	Xiaosu Zhu, Hualian Sheng, Sijia Cai, Bing Deng, Shaopeng Yang, Qiao Liang, Ken Chen, Lianli Gao, Jingkuan Song, Jieping Ye	PDF	N/A
ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer	Jiazhi Guan*, Zhiliang Xu, Hang Zhou, Kaisiyuan Wang, Shengyi He, Zhanwang Zhang, Borong Liang, Haocheng Feng, Errui Ding, Jingtuo Liu, Jingdong Wang, Youjian Zhao, Ziwei Liu	PDF	N/A
Language-Driven Physics-Based Scene Synthesis and Editing via Feature Splatting	Ri-Zhao Qiu*, Ge Yang, Weijia Zeng, Xiaolong Wang	PDF	N/A
AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation	Ri-Zhao Qiu*, Yu-Xiong Wang, Kris Hauser	PDF	N/A
SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition	Jeonghyeok Do, Munchurl Kim*	PDF	N/A
R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding	Ye Liu, Jixuan He, Wanhua Li, Junsik Kim, Donglai Wei, Hanspeter Pfister, Chang Wen Chen	PDF	N/A
Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors	Jae Joong Lee, Bosheng Li, Sara M Beery, Jonathan Huang, Songlin Fei, Raymond A. Yeh, Bedrich Benes*	PDF	N/A
Parameterization-driven Neural Surface Reconstruction for Object-oriented Editing in Neural Rendering	Baixin Xu, Jiangbei Hu, Fei Hou, Kwan-Yee Lin, Wayne Wu, Chen Qian, Ying He*	PDF	N/A
DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models	Yuyang Huang, Yabo Chen, Yuchen Liu, xiaopeng zhang, Wenrui Dai, Hongkai Xiong, Qi Tian	PDF	N/A
Open-Set Recognition in the Age of Vision-Language Models	Dimity Miller*, Niko Suenderhauf, Alex Kenna, Keita Mason	PDF	N/A
Unsqueeze [CLS] Bottleneck to Learn Rich Representations	Qing Su*, Shihao Ji	PDF	N/A
Robust Multimodal Learning via Representation Decoupling	Shicai Wei, Yang Luo, Yuji Wang, Chunbo Luo*	PDF	N/A
Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models	Yasi Zhang*, Peiyu Yu, Ying Nian Wu	PDF	N/A
WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing	Shuokang Huang, Kaihan Li, Di You, Yichong Chen, Arvin Lin, Siying Liu, Xiaohui Li, Julie A. McCann	PDF	N/A
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation	Hyunwoo Yu, Yubin Cho, Beoungwoo Kang, Seunghun Moon, Kyeongbo Kong, Suk-Ju Kang*	PDF	N/A
VeCLIP: Improving CLIP Training via Visual-enriched Captions	Zhengfeng Lai*, Haotian Zhang, Bowen Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao	PDF	N/A
Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediciton Tasks	Manyuan Zhang*, Guanglu Song, Xiaoyu Shi, Yu Liu, Hongsheng Li	PDF	N/A
Learning Representations from Foundation Models for Domain Generalized Stereo Matching	Yongjian Zhang, Longguang Wang, Kunhong Li, WANG Yun, Yulan Guo*	PDF	N/A
Spike-Temporal Latent Representation for Energy-Efficient Event-to-Video Reconstruction	Jianxiong Tang, Jian-Huang Lai, Lingxiao Yang, Xiaohua Xie	PDF	N/A
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer	Qinji Yu, Yirui Wang, Ke Yan, Haoshen Li, Dazhou Guo, Li Zhang, Na Shen, Qifeng Wang, Xiaowei Ding, Le Lu, Xianghua Ye, Dakai Jin	PDF	N/A
Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts	shuangkang fang, Yufeng Wang, Yi-Hsuan Tsai, Yi Yang, Wenrui Ding, Shuchang Zhou, Ming-Hsuan Yang	PDF	N/A
Event-Adapted Video Super-Resolution	Zeyu Xiao, Dachun Kai, Yueyi Zhang, Zheng-Jun Zha, Xiaoyan Sun, Zhiwei Xiong*	PDF	N/A
Look Hear: Gaze Prediction for Speech-directed Human Attention	Sounak Mondal*, Seoyoung Ahn, Zhibo Yang, Niranjan Balasubramanian, Dimitris Samaras, Gregory Zelinsky, Minh Hoai	PDF	N/A
Raising the Ceiling: Conflict-Free Local Feature Matching with Dynamic View Switching	Xiaoyong Lu, Songlin Du	PDF	N/A
Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge	Haibo Wang, Weifeng Ge	PDF	N/A
Catastrophic Overfitting: A Potential Blessing in Disguise	MN Zhao, Lihe Zhang*, Yuqiu Kong, Baocai Yin	PDF	N/A
Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework	Shengqi Xu, Run Sun, Yi Chang*, Shuning Cao, Xueyao Xiao, Luxin Yan	PDF	N/A
SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models	Yuwei Guo, Ceyuan Yang, Anyi Rao, Maneesh Agrawala, Dahua Lin, Bo Dai*	PDF	N/A
Visual Alignment Pre-training for Sign Language Translation	Peiqi Jiao, Yuecong Min, Xilin Chen*	PDF	N/A
Parrot Captions Teach CLIP to Spot Text	Yiqi Lin, Conghui He*, Alex Jinpeng Wang, Bin Wang, Weijia Li, Mike Zheng Shou	PDF	N/A
Solving Motion Planning Tasks with a Scalable Generative Model	Yihan Hu, Siqi Chai, Zhening Yang, Jingyu Qian, Kun Li, Wenxin Shao, Haichao Zhang, Wei Xu, Qiang Liu	PDF	N/A
Griffon: Spelling out All Object Locations at Any Granularity with Large Language Models	Yufei Zhan, Yousong Zhu*, Zhiyang Chen, Fan Yang, Ming Tang, Jinqiao Wang	PDF	N/A
Vision-Language Action Knowledge Learning for Semantic-Aware Action Quality Assessment	Huangbiao Xu, Xiao Ke*, Yuezhou Li, Rui Xu, Huanqi Wu, Xiaofeng Lin, Wenzhong Guo	PDF	N/A
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation	Tao Chen*, Xiruo Jiang, Gensheng Pei, Zeren Sun, Yucheng Wang, Yazhou Yao	PDF	N/A
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow	EungGu Kang*, Byeonghun Lee, Sunghoon Im, Kyong Hwan Jin	PDF	N/A
Diffusion Reward: Learning Rewards via Conditional Video Diffusion	Tao Huang, Guangqi Jiang, Yanjie Ze, Huazhe Xu	PDF	N/A
Recursive Visual Programming	Jiaxin Ge*, Sanjay Subramanian, Baifeng Shi, Roei Herzig, Trevor Darrell	PDF	N/A
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models	Hao Zhang*, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Lei Zhang, Chunyuan Li, Jianwei Yang	PDF	N/A
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks	Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon*	PDF	N/A
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds	Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Yujing Sun, Tai Wang, Xinge Zhu, Yuexin Ma	PDF	N/A
Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging	In Cho, Hyunbo Shim, Seon Joo Kim*	PDF	N/A
ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers	Jinke Li, Xiao He, Chonghua Zhou, Xiaoqiang Cheng, Yang Wen, Dan Zhang*	PDF	N/A
Fine-grained Dynamic Network for Generic Event Boundary Detection	Ziwei Zheng, Lijun He, Le Yang, Fan Li*	PDF	N/A
Take A Step Back: Rethinking the Two Stages in Visual Reasoning	Mingyu Zhang, Jiting Cai, Mingyu Liu, Yue Xu, Cewu Lu, Yong-Lu Li*	PDF	N/A
AlignZeg: Mitigating Objective Misalignment for Zero-shot Semantic Segmentation	Jiannan Ge*, Lingxi Xie, Hongtao Xie, Pandeng Li, Xiaopeng Zhang, Yongdong Zhang, Qi Tian	PDF	N/A
Learning with Counterfactual Explanations for Radiology Report Generation	Mingjie Li, Haokun Lin, Liang Qiu, Xiaodan Liang, Ling Chen, Abdulmotaleb Elsaddik, Xiaojun Chang	PDF	N/A
SpeedUpNet: A Plug-and-Play Adapter Network for Accelerating Text-to-Image Diffusion Models	Weilong Chai*, Dandan Zheng, Jiajiong Cao, Zhiquan Chen, Changbao Wang, Chenguang Ma	PDF	N/A
Better Regression Makes Better Test-time Adaptive 3D Object Detection	Jiakang Yuan, Bo Zhang, Kaixiong Gong, Xiangyu Yue, Botian Shi, Yu Qiao, Tao Chen*	PDF	N/A
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction	Zekun Qi, Runpei Dong, Shaochen Zhang, Haoran Geng, Chunrui Han, Zheng Ge, Li Yi, Kaisheng Ma	PDF	N/A
Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth Quantization	Weihang Liu, Xue Xian Zheng, Jingyi Yu, Xin Lou*	PDF	N/A
Finding Visual Task Vectors	Alberto Hojel, Yutong Bai, Trevor Darrell, Amir Globerson, Amir Bar	PDF	N/A
Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation	Zongrui Li, Minghui Hu, Qian Zheng, Xudong Jiang	PDF	N/A
Event Camera Data Dense Pre-training	Yan Yang, Liyuan Pan*, Liu liu	PDF	N/A
Distractors-Immune Representation Learning with Cross-modal Contrastive Regularization for Change Captioning	Yunbin Tu*, Liang Li, Li Su, Chenggang Yan, Qingming Huang	PDF	N/A
Rethinking Image-to-Video Adaptation: An Object-centric Perspective	Rui Qian*, Shuangrui Ding, Dahua Lin	PDF	N/A
Layer-Wise Relevance Propagation with Conservation Property for ResNet	Seitaro Otsuki, Tsumugi Iida, Félix Doublet, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura*	PDF	N/A
DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism	Zhen Wang, Xinyun Jiang, Jun Xiao, Tao Chen, Long Chen*	PDF	N/A
EgoLifter: Open-world 3D Segmentation for Egocentric Perception	Qiao Gu, Zhaoyang Lv, Duncan Frost, Simon Green, Julian Straub, Chris Sweeney*	PDF	N/A
MEVG : Multi-event Video Generation with Text-to-Video Models	Gyeongrok Oh, Jaehwan Jeong, Sieun Kim, Wonmin Byeon, Jinkyu Kim, Sungwoong Kim, Sangpil Kim	PDF	N/A
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively	Haobo Yuan, Xiangtai Li*, Chong Zhou, Yining Li, Kai Chen, Chen Change Loy	PDF	N/A
Data-to-Model Distillation: Data-Efficient Learning Framework	Ahmad Sajedi*, Samir Khaki, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn, Konstantinos N. Plataniotis	PDF	N/A
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays	Xuhui Liu, Zhi Qiao, Runkun Liu, Hong Li, Xiantong Zhen, Zhen Qian, Juan Zhang, Baochang Zhang	PDF	N/A
AdaIFL: Adaptive Image Forgery Localization via a Dynamic and Importance-aware Transformer Network	Yuxi Li, Fuyuan Cheng, Wangbo Yu, Guangshuo Wang, Guibo Luo, Yuesheng Zhu*	PDF	N/A
ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion	Yan Hong, Yuxuan Duan, Bo Zhang, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, Jianfu Zhang	PDF	N/A
ML-SemReg: Boosting Point Cloud Registration with Multi-level Semantic Consistency	Shaocheng Yan, Pengcheng Shi, Jiayuan Li*	PDF	N/A
Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation	Yuchen Yang, Yu Qiao, Xiao Sun*	PDF	N/A
MoVideo: Motion-Aware Video Generation with Diffusion Models	Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan	PDF	N/A
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning	Haiwen Diao, Bo Wan, Xu Jia, Yunzhi Zhuge, Ying Zhang, Huchuan Lu, Long Chen	PDF	N/A
MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection	Hongbin Lin, Yifan Zhang, Shuaicheng Niu, Shuguang Cui, Zhen Li*	PDF	N/A
RangeLDM: Fast Realistic LiDAR Point Cloud Generation	Qianjiang Hu, Zhimin Zhang, Wei Hu*	PDF	N/A
Learn to Optimize Denoising Scores: A Unified and Improved Diffusion Prior for 3D Generation	Xiaofeng Yang*, Yiwen Chen, Cheng Chen, Chi Zhang, Yi Xu, Xulei Yang, Fayao Liu, Guosheng Lin	PDF	N/A
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation	Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li	PDF	N/A
Physically Plausible Color Correction for Neural Radiance Fields	Qi Zhang, Ying Feng, HONGDONG LI	PDF	N/A
Unifying 3D Vision-Language Understanding via Promptable Queries	ziyu zhu, Zhuofan Zhang, Xiaojian Ma, Xuesong Niu, Yixin Chen, Baoxiong Jia, Zhidong Deng, Siyuan Huang, Qing Li	PDF	N/A
Model Stock: All we need is just a few fine-tuned models	Dong-Hwan Jang, Sangdoo Yun, Dongyoon Han*	PDF	N/A
Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution	Xi Yang*, Chenhang He, Jianqi Ma, Lei Zhang	PDF	N/A
PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control	Yong Zhong, Min Zhao, Zebin You, Xiaofeng Yu, Changwang Zhang, Chongxuan Li*	PDF	N/A
MAD-DR: Map Compression for Visual Localization with Matchness Aware Descriptor Dimension Reduction	Qiang Wang*	PDF	N/A
Benchmarking Object Detectors with COCO: A New Path Forward	Shweta Singh, Aayan Yadav, Jitesh Jain, Humphrey Shi, Justin Johnson, Karan Desai*	PDF	N/A
Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification	Chenyue Li, Shuoyi Chen, Mang Ye*	PDF	N/A
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models	Xin-Jian Wu, Ruisong Zhang, Jie Qin, Shijie Ma, Cheng-Lin Liu	PDF	N/A
Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction	Bencheng Liao, Shaoyu Chen, Bo Jiang, Tianheng Cheng, Qian Zhang, Wenyu Liu, Chang Huang, Xinggang Wang*	PDF	N/A
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency	Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang, Guosheng Lin, Qingyao Wu	PDF	N/A
Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing	Zizheng Yang, Hu Yu, Bing Li, Jinghao Zhang, Jie Huang, Feng Zhao*	PDF	N/A
Uncertainty-aware sign language video retrieval with probability distribution modeling	Xuan Wu, Hongxiang Li, yuanjiang luo, Xuxin Cheng, Xianwei Zhuang, Meng Cao, Keren Fu	PDF	N/A
NeRMo: Learning Implicit Neural Representations for 3D Human Motion Prediction	Dong Wei, Huaijiang Sun, Xiaoning Sun*, Shengxiang Hu	PDF	N/A
Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors	Tongkun Guan, Wei Shen*, Xue Yang, Xuehui Wang, Xiaokang Yang	PDF	N/A
VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition	Ahmad Khaliq, Ming Xu, Stephen Hausler, Michael J Milford, Sourav Garg*	PDF	N/A
DSA: Discriminative Scatter Analysis for Early Smoke Segmentation	Lujian Yao, Haitao Zhao, Jingchao Peng, Zhongze Wang, Kaijie Zhao	PDF	N/A
SAFARI: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation	Sayan Nag*, Koustava Goswami, Srikrishna Karanam	PDF	N/A
KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter	Yifan Zhan, Zhuoxiao Li, Muyao Niu, Zhihang Zhong, Shohei Nobuhara, Ko Nishino, Yinqiang Zheng*	PDF	N/A
Physical-Based Event Camera Simulator	Haiqian Han, Jiacheng Lyu, Jianing Li, Henglu Wei, Cheng Li, Yajing Wei, SHU CHEN, Xiangyang Ji	PDF	N/A
V-IRL: Grounding Virtual Intelligence in Real Life	Jihan Yang*, Runyu Ding, Ellis L Brown, Xiaojuan Qi, Saining Xie	PDF	N/A
Adversarial Prompt Tuning for Vision-Language Models	Jiaming Zhang, Xingjun Ma, Xin Wang, Lingyu Qiu, Jiaqi Wang, Yu-Gang Jiang, Jitao Sang	PDF	N/A
Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing	Jian Gao, chun gu, Youtian Lin, Zhihao Li, Hao Zhu, Xun Cao, Li Zhang, Yao Yao	PDF	N/A
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation	Jinfeng Liu*, Lingtong Kong, Bo Li, Zerong Wang, Hong Gu, Jinwei Chen	PDF	N/A
CC-SAM: Enhancing SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation	Shreyank N Gowda*, David A Clifton	PDF	N/A
An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding	Wei Chen, Long Chen, Yu Wu*	PDF	N/A
Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-v2)	Qifeng Li*, Xiaosong Jia, Shaobo Wang, Junchi Yan	PDF	N/A
PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion	Guansong Lu*, Yuanfan Guo, Jianhua Han, Minzhe Niu, Yihan Zeng, Songcen Xu, Zeyi Huang, Zhao Zhong, Wei Zhang, Hang Xu	PDF	N/A
"X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-modal Reasoning"	Artemis Panagopoulou*, Le Xue, Ning Yu, LI JUNNAN, DONGXU LI, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles	PDF	N/A
Learning Neural Volumetric Pose Features for Camera Localization	Jingyu Lin, Jiaqi Gu, Bojian Wu, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye	PDF	N/A
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation	Shuangrui Ding*, Rui Qian, Haohang Xu, Dahua Lin, Hongkai Xiong	PDF	N/A
REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices	Chaojie Ji*, Yufeng Li, Yiyi Liao	PDF	N/A
Self-Training Room Layout via Geometry-aware Ray-casting	Bolivar Solarte, Chin-Hsuan Wu, Jin-Cheng Jhang, Jonathan Lee, Yi-Hsuan Tsai, Min Sun	PDF	N/A
Closed-Loop Unsupervised Representation Disentanglement with $\beta$-VAE Distillation and Diffusion Probabilistic Feedback	Xin Jin, Bohan Li, Baao Xie, Wenyao Zhang, Jinming Liu, Ziqiang Li, Tao Yang, Wenjun Zeng	PDF	N/A
Rethinking Weakly-supervised Video Temporal Grounding From a Game Perspective	Xiang Fang, Zeyu Xiong, Wanlong Fang, Xiaoye Qu, Chen Chen, Jianfeng Dong, Keke Tang, Pan Zhou, Yu Cheng, Daizong Liu	PDF	N/A
Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization	Ming-Yang Ho, Che-Ming Wu, Min-Sheng Wu, ‪Yufeng Jane Tseng*	PDF	N/A
ZoLA: Zero-Shot Creative Long Animation Generation with Short Video Model	Fu-Yun Wang, Zhaoyang Huang, Qiang Ma, Guanglu Song, Xudong LU, Weikang Bian, Yijin Li, Yu Liu, Hongsheng Li*	PDF	N/A
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach	Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, genping wang, Xinchao Wang, Shu-Tao Xia	PDF	N/A
Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration	Chujie Qin, Ruiqi Wu, Zikun Liu, Xin Lin, Chun-Le Guo, Hyun Hee Park, Chongyi Li*	PDF	N/A
When Fast Fourier Transform Meets Transformer for Image Restoration	Xingyu Jiang, Xiuhui Zhang, Ning Gao, Yue Deng*	PDF	N/A
Dolphins: Multimodal Language Model for Driving	Yingzi Ma, Yulong Cao, Jiachen Sun, Marco Pavone, Chaowei Xiao*	PDF	N/A
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model	Chen Rao, Guangyuan Li, Zehua Lan, Jiakai Sun, Junsheng Luan, Wei Xing, Lei Zhao, Huaizhong Lin*, Jianfeng Dong, Dalong Zhang	PDF	N/A
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection	xunfa lai, Zhiyu Yang, Jie Hu, ShengChuan Zhang*, Liujuan Cao, Guannan Jiang, Songan Zhang, zhiyu wang, Rongrong Ji	PDF	N/A
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation	Pau de Jorge Aranda*, Riccardo Volpi, Puneet Dokania, Philip Torr, Gregory Rogez	PDF	N/A
Textual Grounding for Open-vocabulary Visual Information Extraction in Layout-diversified Documents	Mengjun Cheng, Chengquan Zhang, Chang Liu*, Yuke Li, Bohan Li, Kun Yao, Xiawu Zheng, Rongrong Ji, Jie Chen	PDF	N/A
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching	Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang*	PDF	N/A
Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation Framework	Wei Suo, Lanqing Lai, Mengyang Sun, Hanwang Zhang, Peng Wang*, Yanning Zhang	PDF	N/A
D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On	Zhaotong Yang, Zicheng Jiang, Xinzhe Li, Huiyu Zhou, Junyu Dong, Huaidong Zhang, Yong Du*	PDF	N/A
TC4D: Trajectory-Conditioned Text-to-4D Generation	Sherwin Bahmani*, Xian Liu, Wang Yifan, Ivan Skorokhodov, Victor Rong, Ziwei Liu, Xihui Liu, Jeong Joon Park, Sergey Tulyakov, Gordon Wetzstein, Andrea Tagliasacchi, David B Lindell	PDF	N/A
Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding	Jiangtao Zhang, Zongsheng Yue, Hui Wang, Qian Zhao, Deyu Meng	PDF	N/A
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models	Xuelong Dai*, Kaisheng Liang, Bin Xiao	PDF	N/A
Improving Text-guided Object Inpainting with Semantic Pre-inpainting	Yifu Chen, Jingwen Chen, Yingwei Pan*, Yehao Li, Ting Yao, Zhineng Chen, Tao Mei	PDF	N/A
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching	Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Jingcai Guo, Ruixuan Li*	PDF	N/A
ST-LDM: A Universal Framework for Text-Grounded Object Generation in Real Images	Xiangtian Xue, Jiasong Wu*, Youyong Kong, Lotfi Senhadji, Huazhong Shu	PDF	N/A
RS-NeRF: Neural Radiance Fields from Rolling Shutter Images	Muyao Niu, Tong Chen, Yifan Zhan, Zhuoxiao Li, Xiang Ji, Yinqiang Zheng*	PDF	N/A
Region-Adaptive Transform with Segmentation Prior for Image Compression	Yuxi Liu*, Wenhan Yang, Huihui Bai, Yunchao Wei, Yao Zhao	PDF	N/A
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks	Zhewei Wu, Ruilong Yu, Qihe Liu*, Shuying Cheng, Shilin Qiu, Shijie Zhou	PDF	N/A
SLIM: Spuriousness Mitigation with Minimal Human Annotations	Xiwei Xuan*, Ziquan Deng, Hsuan-Tien Lin, Kwan-Liu Ma	PDF	N/A
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset	Mijoo Kim, Junseok Kwon*	PDF	N/A
X-Pose: Detecting Any Keypoints	Jie Yang, Ailing Zeng, Ruimao Zhang, Lei Zhang	PDF	N/A
M^2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation	Yingshuang Zou, Yikang Ding, Xi Qiu, Haoqian Wang, Haotian Zhang*	PDF	N/A
UniMD: Towards Unifying Moment Retrieval and Temporal Action Detection	Yingsen Zeng, Yujie Zhong*, Chengjian Feng, Lin Ma	PDF	N/A
DyFADet: Dynamic Feature Aggregation for Temporal Action Detection	Le Yang*, Ziwei Zheng, Yizeng Han, Hao Cheng, Shiji Song, Gao Huang, Fan Li	PDF	N/A
LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models	Yanwei Li*, Chengyao Wang, Jiaya Jia	PDF	N/A
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering	Guoxing Sun*, Rishabh Dabral, Pascal Fua, Christian Theobalt, Marc Habermann	PDF	N/A
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction	Yanlong LI*, Chamara Madarasingha, Kanchana Thilakarathna	PDF	N/A
Multi-branch Collaborative Learning Network for 3D Visual Grounding	Zhipeng Qian, Yiwei Ma, Zhekai Lin, Jiayi Ji, Xiawu Zheng, Xiaoshuai Sun*, Rongrong Ji	PDF	N/A
DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors	Jinbo Xing*, Menghan Xia, Yong Zhang, Haoxin Chen, Wangbo Yu, Hanyuan Liu, Gongye Liu, Xintao Wang, Ying Shan, Tien-Tsin Wong	PDF	N/A
Motion Aware Event Representation-driven Image Deblurring	Zhijing Sun, Xueyang Fu, Longzhuo Huang, Aiping Liu, Zheng-Jun Zha*	PDF	N/A
Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models	Chen Ju, Haicheng Wang, Haozhe Cheng, Xu Chen, Zhonghua Zhai, Weilin Huang, Jinsong Lan, Shuai Xiao, Bo Zheng	PDF	N/A
WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language	Zhenxiang Lin, Xidong Peng, Peishan Cong, Ge Zheng, Yujing Sun, Yuenan HOU, Xinge Zhu, Sibei Yang, Yuexin Ma*	PDF	N/A
RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-based Continual Learning	Longrong Yang, Hanbin Zhao, Yunlong Yu, Xiaodong Zeng, Xi Li	PDF	N/A
Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models	Luozhou Wang, Guibao Shen, Wenhang Ge, Guangyong Chen, Yijun Li, Yingcong Chen	PDF	N/A
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection	Shilong Liu, Zhaoyang Zeng, Tianhe Ren, Feng Li, Hao Zhang, Jie Yang, Qing Jiang, Chunyuan Li, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang	PDF	N/A
Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression	Dingyuan Zhang, Dingkang Liang, Zichang Tan, Xiaoqing Ye, Cheng Zhang, Jingdong Wang, Xiang Bai	PDF	N/A
OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation	Zhenyu Wang*, Ya-Li Li, TAICHI LIU, Hengshuang Zhao, Shengjin Wang	PDF	N/A
CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing	Haibo Jin, Ruoxi Chen, Jinyin Chen, Haibin Zheng, Yang Zhang, Haohan Wang*	PDF	N/A
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt	Xin Li*, Bingchen Li, Yeying Jin, Cuiling Lan, Hanxin Zhu, Yulin Ren, Zhibo Chen	PDF	N/A
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents	Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li	PDF	N/A
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference	Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng*, Wayne Zhang	PDF	N/A
Two-Stage Active Learning for Efficient Temporal Action Segmentation	Yuhao Su, Ehsan Elhamifar*	PDF	N/A
TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation	Yufei Liu, Junwei Zhu, Junshu Tang, Shijie Zhang, Jiangning Zhang, Weijian Cao, Chengjie Wang, Yunsheng Wu, Dongjin Huang*	PDF	N/A
MVPGS: Excavating Multi-view Priors for Gaussian Splatting from Sparse Input Views	Wangze Xu, Huachen Gao, Shihe Shen, Rui Peng, Jianbo Jiao, Ronggang Wang*	PDF	N/A
Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions	Yihao Ai*, Yifei Qi, Bo Wang, Yu Cheng, Xinchao Wang, Robby T. Tan	PDF	N/A
Towards More Practical Group Activity Detection: A New Benchmark and Model	Dongkeun Kim, Youngkil Song, Minsu Cho, Suha Kwak*	PDF	N/A
Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models	Zhiyuan You, Zheyuan Li, Jinjin Gu, Zhenfei Yin, Tianfan Xue, Chao Dong	PDF	N/A
Zero-Shot Image Feature Consensus with Deep Functional Maps	Xinle Cheng, Congyue Deng, Adam Harley, Yixin Zhu, Leonidas Guibas*	PDF	N/A
WindPoly: Polygonal Mesh Reconstruction via Winding Numbers	Xin He, Chenlei Lv, Pengdi Huang, Hui Huang*	PDF	N/A
MinD-3D: Reconstruct High-quality 3D objects in Human Brain	Jianxiong Gao, Yuqian Fu, Yun Wang, Xuelin Qian, Jianfeng Feng, Yanwei Fu*	PDF	N/A
Tokenize Anything via Prompting	Ting Pan, Lulu Tang, Xinlong Wang, Shiguang Shan	PDF	N/A
Geospecific View Generation - Geometry-Context Aware High-resolution Ground View Inference from Satellite Views	Ningli Xu, Rongjun Qin*	PDF	N/A
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks	Jing Wu*, Mehrtash Harandi	PDF	N/A
City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web	Kaiwen Song, Xiaoyi Zeng, Chenqu Ren, Juyong Zhang*	PDF	N/A
GRAPE: Generalizable and Robust Multi-view Facial Capture	Jing Li, Di Kang, Zhenyu He*	PDF	N/A
Training-Free Model Merging for Multi-target Domain Adaptation	Wenyi Li, Huan-ang Gao, Mingju Gao, Beiwen Tian, Rong Zhi, Hao Zhao*	PDF	N/A
Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses	Yongwei Nie, Changzhen Liu, Chengjiang Long, Qing Zhang, Guiqing Li, Hongmin Cai*	PDF	N/A
Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection	Lianjun Wu, Jiangxiao Han, Zengqiang Zheng, Xinggang Wang*	PDF	N/A
Open-Vocabulary Camouflaged Object Segmentation	Youwei Pang, Xiaoqi Zhao, JiaMing Zuo, Lihe Zhang*, Huchuan Lu	PDF	N/A
SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions	Xiaoyu Liu, Yuxiang Wei, Ming Liu*, Xianhui Lin, Peiran Ren, xuansong xie, Wangmeng Zuo	PDF	N/A
InterFusion: Text-Driven Generation of 3D Human-Object Interaction	Sisi Dai, Wenhao Li, Haowen Sun, Haibin Huang, Chongyang Ma, Hui Huang, Kai Xu, Ruizhen Hu	PDF	N/A
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval	Han Zhou, Wei Dong, Xiaohong Liu, Shuaicheng Liu, Xiongkuo Min, Guangtao Zhai, Jun Chen	PDF	N/A
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving	Xiaofeng Wang*, Zheng Zhu, Guan Huang, Chen Xinze, Jiagang Zhu, Jiwen Lu	PDF	N/A
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition	Muhammad Adi Nugroho*, Sangmin Woo, Sumin Lee, Jinyoung Park, Yooseung Wang, Donguk Kim, Changick Kim	PDF	N/A
NeRF-XL: NeRF at Any Scale with Multi-GPU	Ruilong Li*, Sanja Fidler, Angjoo Kanazawa, Francis Williams	PDF	N/A
CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems	Jiankun Zhao, Bowen Song, Liyue Shen*	PDF	N/A
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?	Qinyu Zhao*, Ming Xu, Kartik Gupta, Akshay Asthana, Liang Zheng, Stephen Gould	PDF	N/A
Compositional Substitutivity of Visual Reasoning for Visual Question Answering	Chuanhao Li, Zhen Li, Chenchen Jing, Yuwei Wu, Mingliang Zhai, Yunde Jia	PDF	N/A
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models	Hai Jiang, Ao Luo, Xiaohong Liu, Songchen Han, Shuaicheng Liu*	PDF	N/A
DNI: Dilutional Noise Initialization for Diffusion Video Editing	Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong, Chang D. Yoo*	PDF	N/A
Two-Stage Video Shadow Detection via Temporal-Spatial Adaption	Xin Duan, Yu Cao, Lei Zhu, Gang Fu, Xin Wang, Renjie ZHANG, Ping Li*	PDF	N/A
Towards Physical World Backdoor Attacks against Skeleton Action Recognition	Qichen Zheng, Yi Yu, SIYUAN YANG*, Jun Liu, Kwok-Yan Lam, Alex Kot	PDF	N/A
SAM-guided Graph Cut for 3D Instance Segmentation	Haoyu Guo, He Zhu, Sida Peng, Yuang Wang, Yujun Shen, Ruizhen Hu, Xiaowei Zhou*	PDF	N/A
Fully Authentic Visual Question Answering Dataset from Online Communities	Chongyan Chen*, Mengchen Liu, Noel C Codella, Yunsheng Li, Lu Yuan, Danna Gurari	PDF	N/A
Active Generation for Image Classification	Tao Huang, Jiaqi Liu, Shan You*, Chang Xu	PDF	N/A
FuseTeacher: Modality-fused Encoders are Strong Vision Supervisors	Chen-Wei Xie*, Siyang Sun, Liming Zhao, Pandeng Li, Shuailei Ma, Yun Zheng	PDF	N/A
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes	Chao Chen, Yu-Shen Liu*, Zhizhong Han	PDF	N/A
Understanding Multi-compositional learning in Vision and Language models via Category Theory	Sotirios Panagiotis Chytas*, Hyunwoo J Kim, Vikas Singh	PDF	N/A
FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients	Shangchao Su, Bin Li*, Xiangyang Xue	PDF	N/A
Panel-Specific Degradation Representation for Raw Under-Display Camera Image Restoration	Youngjin Oh*, Keuntek Lee, Jooyoung Lee, Dae-Hyun Lee, Nam Ik Cho	PDF	N/A
Unlocking Textual and Visual Wisdom: Open-Vocabulary 3D Object Detection Enhanced by Comprehensive Guidance from Text and Image	Pengkun Jiao, Na Zhao, Jingjing Chen, Yu-Gang Jiang	PDF	N/A
Diffusion-Guided Weakly Supervised Semantic Segmentation	Sung-Hoon Yoon, Hoyong Kwon, Jaeseok Jeong, Daehee Park, Kuk-Jin Yoon*	PDF	N/A
Weakly-Supervised Spatio-Temporal Video Grounding with Variational Cross-Modal Alignment	Yang Jin, Yadong Mu	PDF	N/A
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset	Yi Zhang, Wang Zeng, Sheng Jin, Chen Qian*, Ping Luo, Wentao Liu	PDF	N/A
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image	Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim, Minsu Cho, Doyup Lee	PDF	N/A
Segment and Recognize Anything at Any Granularity	Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang, Jianfeng Gao*	PDF	N/A
Real-time Holistic Robot Pose Estimation with Unknown States	Shikun Ban, Juling Fan, Xiaoxuan Ma, Wentao Zhu, Yu QIAO, Yizhou Wang	PDF	N/A
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning	Junghun Oh, Sungyong Baik, Kyoung Mu Lee*	PDF	N/A
A Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars	Ronglai Zuo, Fangyun Wei*, Zenggui Chen, Brian Mak, Jiaolong Yang, Xin Tong	PDF	N/A
An accurate detection is not all you need to combat label noise in web-noisy datasets	Paul Albert*, Kevin McGuinness, Eric Arazo, Tarun Krishna, Noel O Connor, Jack Valmadre	PDF	N/A
Online Vectorized HD Map Construction using Geometry	Zhixin Zhang, Yiyuan Zhang, Xiaohan Ding, Fusheng Jin*, Xiangyu Yue	PDF	N/A
Image-adaptive 3D Lookup Tables for Real-time Image Enhancement with Bilateral Grids	Wontae Kim, Nam Ik Cho	PDF	N/A
Learned HDR Image Compression for Perceptually Optimal Storage and Display	Peibei Cao, HAOYU CHEN, Jingzhe Ma, Yu-Chieh Yuan, Zhiyong Xie, Xin Xie, Haiqing Bai, Kede Ma*	PDF	N/A
Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion	Huadong Li, Minhao Jing, Jin Wang, Shichao Dong, Jiajun Liang, Haoqiang Fan, Renhe Ji*	PDF	N/A
Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration	Qiang Wang*, Yuhang He, Songlin Dong, Xinyuan Gao, Shaokun Wang, Yihong Gong	PDF	N/A
Free-VSC: Free Semantics from Visual Foundation Models for Unsupervised Video Semantic Compression	Yuan Tian, Guo Lu, Guangtao Zhai*	PDF	N/A
Improving Virtual Try-On with Garment-focused Diffusion Models	Siqi Wan, Yehao Li, Jingwen Chen, Yingwei Pan*, Ting Yao, Yang Cao, Tao Mei	PDF	N/A
Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection	Feng Liu, Tengteng Huang, Qianjing Zhang, Haotian Yao, Chi Zhang, Fang Wan, Qixiang Ye, Yanzhao Zhou	PDF	N/A
Disentangled Generation and Aggregation for Robust Radiance Fields	Shihe Shen, Huachen Gao, Wangze Xu, Rui Peng, Luyang Tang, Kaiqiang Xiong, Jianbo Jiao, Ronggang Wang*	PDF	N/A
UNIKD: UNcertainty-Filtered Incremental Knowledge Distillation for Neural Implicit Representation	Mengqi Guo*, Chen Li, Hanlin Chen, Gim Hee Lee	PDF	N/A
Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation	Jiawei Han, Kaiqi Liu*, Wei Li, Guangzhi Chen	PDF	N/A
MoAI: Mixture of All Intelligence for Large Language and Vision Models	Byung-Kwan Lee, Beomchan Park, Chae Won Kim, Yong Man Ro*	PDF	N/A
Semantic-guided Robustness Tuning for Few-Shot Transfer Across Extreme Domain Shift	kangyu xiao*, Zilei Wang, junjie li	PDF	N/A
Revisit Event Generation Model: Self-Supervised Learning of Event-to-Video Reconstruction with Implicit Neural Representations	Zipeng Wang, yunfan lu, Lin Wang	PDF	N/A
SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models	Yang Zhou, Yongjian Wu, Jiya Saiyin, Bingzheng Wei, Maode Lai, Eric I Chang, Yan Xu	PDF	N/A
Open-World Dynamic Prompt and Continual Visual Representation Learning	Youngeun Kim, Jun Fang*, Qin Zhang, Zhaowei Cai, Yantao Shen, Rahul Duggal, Dripta S. Raychaudhuri, Zhuowen Tu, Yifan Xing, Onkar Dabeer	PDF	N/A
Learning Video Context as Interleaved Multimodal Sequences	Kevin Qinghong Lin, Pengchuan Zhang, Difei Gao, Xide Xia, Joya Chen, Ziteng Gao, Jinheng Xie, Xuhong Xiao, Mike Zheng Shou*	PDF	N/A
Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors	Wenyuan Zhang, Kanle Shi, Yu-Shen Liu*, Zhizhong Han	PDF	N/A
Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding	Ruihuang Li*, Zhengqiang ZHANG, Chenhang He, Zhiyuan Ma, Vishal Patel, Lei Zhang	PDF	N/A
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks	Cheng Gong, Yao Chen, Qiuyang Luo, Ye Lu, Tao Li, Yuzhi Zhang, Yufei Sun, Le Zhang	PDF	N/A
Multi-scale Cross Distillation for Object Detection in Aerial Images	Kun Wang, Zi Wang, Zhang Li*, Xichao Teng, Yang Li	PDF	N/A
Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation	Hyun Seok Seong, WonJun Moon, SuBeen Lee, Jae-Pil Heo*	PDF	N/A
Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence	Yutong Chen, Yifan Zhan, Zhihang Zhong, Wei Wang, Xiao Sun, Yu Qiao, Yinqiang Zheng	PDF	N/A
Revisit Human-Scene Interaction via Space Occupancy	Xinpeng Liu, Haowen Hou, Yanchao Yang, Yong-Lu Li*, Cewu Lu	PDF	N/A
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control	Yue Han*, Junwei Zhu, Keke He, Xu Chen, Yanhao Ge, Wei Li, Xiangtai Li, Jiangning Zhang, Chengjie Wang, Yong Liu	PDF	N/A
WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model	Haisheng Fu*, Jie Liang, Zhenman Fang, Jingning Han, Feng Liang, Guohe Zhang	PDF	N/A
Grid-Attention: Enhancing Computational Efficiency of Large Vision Models without Fine-Tuning	Pengyu Li*, biao wang, Tianchu Guo, Xian-Sheng Hua	PDF	N/A
Mitigating Background Shift in Class-Incremental Semantic Segmentation	Gilhan Park, WonJun Moon, SuBeen Lee, Tae-Young Kim, Jae-Pil Heo*	PDF	N/A
Relation DETR: Exploring Explicit Position Relation Prior for Object Detection	Xiuquan Hou, Meiqin Liu*, Senlin Zhang, Ping Wei, Badong Chen, Xuguang Lan	PDF	N/A
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation	Zekai Xu, Kang You, Qinghai Guo, Xiang Wang, Zhezhi He*	PDF	N/A
Agent Attention: On the Integration of Softmax and Linear Attention	Dongchen Han, Tianzhu Ye, Yizeng Han, Zhuofan Xia, Siyuan Pan, Pengfei Wan, Shiji Song, Gao Huang*	PDF	N/A
Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion	Quoc-Huy Tran*, Muhammad Ahmed, Murad Popattia, Muhammad Hassan Ahmed, Andrey Konin, Zeeshan Zia	PDF	N/A
Resolving Scale Ambiguity in Multi-view 3D Reconstruction using Dual-Pixel Sensors	Kohei Ashida*, Hiroaki Santo, Fumio Okura, Yasuyuki Matsushita	PDF	N/A
Object-Oriented Anchoring and Modal Alignment in Multimodal Learning	Shibin Mei, Bingbing Ni*, Hang Wang, Chenglong Zhao, fengfa hu, Zhiming Pi, BiLian Ke	PDF	N/A
Towards Stable 3D Object Detection	Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou*	PDF	N/A
FYI: Flip Your Images for Dataset Distillation	Byunggwan Son, Youngmin Oh, Donghyeon Baek, Bumsub Ham	PDF	N/A
On-the-fly Category Discovery for LiDAR Semantic Segmentation	Hyeonseong Kim, Sung-Hoon Yoon, Minseok Kim, Kuk-Jin Yoon*	PDF	N/A
Dual-Camera Smooth Zoom on Mobile Phones	Renlong Wu, Zhilu Zhang*, Yu Yang, Wangmeng Zuo	PDF	N/A
ProtoComp: Diverse Point Cloud Completion with Controllable Prototype	Xumin Yu, Yanbo Wang, Jie Zhou, Jiwen Lu*	PDF	N/A
CONDA: Condensed Deep Association Learning for Co-Salient Object Detection.	Long Li, Nian Liu, Dingwen Zhang, Zhongyu Li, Salman Khan, Rao Anwer, Hisham Cholakkal, Junwei Han, Fahad Shahbaz Khan	PDF	N/A
Cascade Prompt Learning for Visual-Language Model Adaptation	Ge Wu, Xin Zhang, Zheng Li, Zhaowei Chen, Jiajun Liang, Jian Yang, Xiang Li*	PDF	N/A
PolyRoom: Room-aware Transformer for Floorplan Reconstruction	Yuzhou Liu, Lingjie Zhu, Xiaodong Ma, Hanqiao Ye, Xiang Gao, Xianwei Zheng, Shuhan Shen*	PDF	N/A
BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models	Rizhao Cai, Zirui Song, Dayan Guan, Zhenhao Chen, Yaohang Li, Xing Luo, Chenyu Yi, Alex Kot	PDF	N/A
SMFANet: A Lightweight Self-Modulation Feature Aggregation Network for Efficient Image Super-Resolution	mingjun zheng, Long Sun, Jiangxin Dong, Jinshan Pan*	PDF	N/A
HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras	Zhongyu Xia, ZhiWei Lin, Xinhao Wang, Yongtao Wang*, Yun Xing, Shengxiang Qi, Nan Dong, Ming-Hsuan Yang	PDF	N/A
Hierarchical Unsupervised Relation Distillation for Source Free Domain Adaptation	Bowei Xing*, Xianghua Ying, Ruibin Wang, Ruohao Guo, Ji Shi, Wenzhen Yue	PDF	N/A
Customized Generation Reimagined: Fidelity and Editability Harmonized	Jian Jin, Yang Shen, Zhenyong Fu, Jian Yang	PDF	N/A
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors	Kaishen Yuan, Zitong Yu, Xin Liu, Weicheng Xie, Huanjing Yue, Jingyu Yang	PDF	N/A
Improving Video Segmentation via Dynamic Anchor Queries	Yikang Zhou, Tao Zhang, Xiangtai Li, Shunping Ji*, Shuicheng Yan	PDF	N/A
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights	Shunqi Mao*, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai	PDF	N/A
Diffusion Models as Optimizers for Efficient Planning in Offline RL	Renming Huang, Yunqiang Pei, Guoqing Wang*, Yangming Zhang, Yang Yang, Peng Wang, Heng Tao Shen	PDF	N/A
Enhanced Sparsification via Stimulative Training	Shengji Tang, Weihao Lin, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen*	PDF	N/A
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs	Haoqin Tu, Chenhang Cui, Zijun Wang, Yiyang Zhou, Bingchen Zhao, Junlin Han, Wangchunshu Zhou, Huaxiu Yao, Cihang Xie	PDF	N/A
NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation	Jingyang Huo, Yikai Wang, Yanwei Fu*, Xuelin Qian, Chong Li, Yun Wang, Jianfeng Feng	PDF	N/A
Coarse-to-Fine Implicit Representation Learning for 3D Hand-Object Reconstruction from a Single RGB-D Image	Xingyu Liu, Pengfei Ren, Jingyu Wang, Qi Qi, Haifeng Sun, Zirui Zhuang, Jianxin Liao	PDF	N/A
Efficient Snapshot Spectral Imaging: Calibration-Free Parallel Structure with Aperture Diffraction Fusion	Tao Lv*, Lihao Hu, Shiqiao Li, Chenglong Huang, Xun Cao	PDF	N/A
Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation Perspective	Fangzhou Song, Bin Zhu, Yanbin Hao*, Shuo Wang	PDF	N/A
PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking	Jiahuan Long, Tingsong Jiang, Wen Yao, Shuai Jia, Weijia Zhang, Weien Zhou, Chao Ma, Xiaoqian Chen	PDF	N/A
HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models	Shen Zhang, Zhaowei CHEN, Zhenyu Zhao, Yuhao Chen, Yao Tang, Jiajun Liang*	PDF	N/A
On the Approximation Risk of Few-Shot Class-Incremental Learning	Xuan Wang, Zhong Ji*, Xiyao Liu, Yanwei Pang, Jungong Han	PDF	N/A
Syn-to-Real Domain Adaptation for Point Cloud Completion via Part-based Approach	Yunseo Yang, Jihun Kim, Kuk-Jin Yoon*	PDF	N/A
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization	Jiajun Hu, Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao	PDF	N/A
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning	Zerun Wang*, Liuyu Xiang, Lang Huang, Jiafeng Mao, Ling Xiao, Toshihiko Yamasaki	PDF	N/A
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning	Meixuan Li, Tianyu Li, Guoqing Wang*, Peng Wang, Yang Yang, Jie Zou	PDF	N/A
MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation	Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hongzhi Zhang, Lei Zhang, Wangmeng Zuo	PDF	N/A
PointRegGPT: Boosting 3D Point Cloud Registration using Generative Point-Cloud Pairs for Training	Suyi Chen, Hao Xu, Haipeng Li, Kunming Luo, Guanghui Liu, Chi-Wing Fu, Ping Tan, Shuaicheng Liu*	PDF	N/A
General Geometry-aware Weakly Supervised 3D Object Detection	Guowen Zhang*, Junsong Fan, Liyi Chen, Zhaoxiang Zhang, Zhen Lei, Lei Zhang	PDF	N/A
Long-CLIP: Unlocking the Long-Text Capability of CLIP	Beichen Zhang, Pan Zhang, Xiaoyi Dong, Yuhang Zang, Jiaqi Wang*	PDF	N/A
Dolfin: Diffusion Layout Transformers without Autoencoder	Yilin Wang, Zeyuan Chen, Liangjun Zhong, Zheng Ding, Zhuowen Tu*	PDF	N/A
Real-time 3D-aware Portrait Editing from a Single Image	Qingyan Bai, Zifan Shi, Yinghao Xu, Hao Ouyang, Qiuyu Wang, Ceyuan Yang, Xuan Wang, Gordon Wetzstein, Yujun Shen, Qifeng Chen*	PDF	N/A
StructLDM: Structured Latent Diffusion for 3D Human Generation	Tao Hu, Fangzhou Hong, Ziwei Liu*	PDF	N/A
Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation	Han Li, Shaohui Li, Shuangrui Ding, Wenrui Dai*, Maida Cao, Chenglin Li, Junni Zou, Hongkai Xiong	PDF	N/A
Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models	Hyeonwoo Kim, Sookwan Han, Patrick Kwon, Hanbyul Joo*	PDF	N/A
Norma: A Noise Robust Memory-Augmented Framework for Whole Slide Image Classification	Yu Bai, Bo Zhang*, Zheng Zhang, Shuo Yan, Zibo Ma, Wu Liu, Xiuzhuang Zhou, Xiangyang Gong, Wendong Wang	PDF	N/A
Continuous Memory Representation for Anomaly Detection	Joo Chan Lee, Taejune Kim, Eunbyung Park, Simon S Woo, Jong Hwan Ko	PDF	N/A
InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser	Xing Cui, Zekun Li, Peipei Li*, Huaibo Huang, Xuannan Liu, Zhaofeng He	PDF	N/A
PACE: Pose Annotations in Cluttered Environments	Yang You, kai xiong, Zhening Yang, Zhengxiang Huang, Junwei Zhou, Ruoxi Shi, Zhou FANG, Adam Harley, Leonidas Guibas, Cewu Lu	PDF	N/A
CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring	Taewoo Kim, Hoonhee Cho, Kuk-Jin Yoon*	PDF	N/A
CountFormer: Multi-View Crowd Counting Transformer	Hong Mo, Xiong Zhang, Jianchao Tan, Cheng Yang, Qiong Gu, Bo Hang, Wenqi Ren	PDF	N/A
Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery	Haiyang Zheng, Nan Pu, Wenjing Li, Nicu Sebe, Zhun Zhong	PDF	N/A
Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis	Jaein Kim, HEE BIN YOO, Dong-Sig Han, Yeon-Ji Song, Byoung-Tak Zhang*	PDF	N/A
EA-VTR: Event-Aware Video-Text Retrieval	Zongyang Ma*, Ziqi Zhang, Yuxin Chen, Zhongang Qi, Chunfeng Yuan, Bing Li, Yingmin Luo, Xu LI, Xiaojuan Qi, Ying Shan, Weiming Hu	PDF	N/A
Privacy-Preserving Adaptive Re-Identification without Image Transfer	Hamza Rami*, Jhony H. Giraldo, Nicolas Winckler, Stéphane Lathuilière	PDF	N/A
A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging	Miao Cao*, Lishun Wang, Huan Wang, Xin Yuan	PDF	N/A
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks	Caixin Kang, Yinpeng Dong, Zhengyi Wang, Shouwei Ruan, Yubo Chen, Hang Su, Xingxing Wei*	PDF	N/A
Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation	Kihong Kim, Haneol Lee, Jihye Park, Seyeon Kim, Kwang Hee Lee, Seungryong Kim, Jaejun Yoo	PDF	N/A
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation	Anqi Zhang, Guangyu Gao*	PDF	N/A
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation	Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon	PDF	N/A
Learning to Unlearn for Robust Machine Unlearning	Mark He Huang, Lin Geng Foo, Jun Liu	PDF	N/A
Emergent Visual-Semantic Hierarchies in Image-Text Representations	Morris Alper*, Hadar Averbuch-Elor	PDF	N/A
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation	Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang	PDF	N/A
DriveLM: Driving with Graph Visual Question Answering	Chonghao Sima*, Katrin Renz, Kashyap Chitta, Li Chen, Zhang Hanxue, Chengen Xie, Jens Beißwenger, Ping Luo, Andreas Geiger, Hongyang Li	PDF	N/A
Neural Spectral Decomposition for Dataset Distillation	Shaolei Yang, Shen Cheng, Mingbo Hong, Haoqiang Fan, Xing Wei, Shuaicheng Liu*	PDF	N/A
Beyond Viewpoint: Robust 3D Object Recognition under Arbitrary Views through Joint Multi-Part Representation	Linlong Fan, Ye Huang*, Yanqi Ge, Wen Li, Lixin Duan	PDF	N/A
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection	Lars Doorenbos*, Raphael Sznitman, Pablo Márquez Neila	PDF	N/A
Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection	Trinh Le Ba Khanh, Huy-Hung Nguyen, Long Hoang Pham, Duong Nguyen-Ngoc Tran, Jae Wook Jeon	PDF	N/A
Knowledge-enhanced Visual-Language Pretraining for Computational Pathology	Xiao Zhou, Xiaoman Zhang, Chaoyi Wu, Ya Zhang, Weidi Xie, Yan-Feng Wang*	PDF	N/A
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution	Junxiong Lin*, Yan Wang, Zeng Tao, Boyang Wang, Qing Zhao, Haoran Wang, Xuan Tong, Xinji Mai, Yuxuan Lin, Wei Song, Jiawen Yu, Shaoqi Yan, Wenqiang Zhang	PDF	N/A
Disentangled Clothed Avatar Generation from Text Descriptions	Jionghao Wang, Yuan Liu, Zhiyang Dou, Zhengming Yu, Yongqing Liang, Cheng Lin, Rong Xie, Li Song, Xin Li, Wenping Wang*	PDF	N/A
Real Appearance Modeling for More General Deepfake Detection	Jiahe Tian, Cai Yu, Xi Wang, Peng Chen, Zihao Xiao, Jiao Dai, Yesheng Chai*, Jizhong Han	PDF	N/A
6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model	Matteo Bortolon*, Theodore Tsesmelis, Stuart James, Fabio Poiesi, Alessio Del Bue	PDF	N/A
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning	Jia-Hao Xiao, Ming-Kun Xie, Heng-Bo Fan, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang*	PDF	N/A
V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception	Hao Xiang, Xin Xia, Zhaoliang Zheng, Runsheng Xu, Letian Gao, Zewei Zhou, xu han, Xinkai Ji, Mingxi Li, Zonglin Meng, Li Jin, Mingyue Lei, Zhaoyang Ma, Zihang He, Haoxuan Ma, Yunshuang Yuan, Yingqian Zhao, Jiaqi Ma*	PDF	N/A
VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space	Guénolé Fiche*, Simon Leglaive, Xavier Alameda-Pineda, Antonio Agudo, Francesc Moreno	PDF	N/A
Attention Beats Linear for Fast Implicit Neural Representation Generation	Shuyi Zhang, Ke Liu, Jingjun Gu, Xiaoxu Cai, Zhihua Wang, Jiajun Bu, Haishuai Wang*	PDF	N/A
HARIVO: Harnessing Text-to-Image Models for Video Generation	Mingi Kwon, Seoung Wug Oh, Yang Zhou, Joon-Young Lee, Difan Liu, Haoran Cai, Baqiao Liu, Feng Liu, Youngjung Uh*	PDF	N/A
Deep Online Probability Aggregation Clustering	Yuxuan Yan, Na Lu*, Ruofan Yan	PDF	N/A
WRIM-Net: Wide-Ranging Information Mining Network for Visible-Infrared Person Re-Identification	Yonggan Wu, Ling-Chao Meng, Yuan Zichao, Sixian Chan, Hong-Qiang Wang	PDF	N/A
Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models	Chao Gong, Kai Chen, Zhipeng Wei, Jingjing Chen, Yu-Gang Jiang	PDF	N/A
Visual Text Generation in the Wild	Yuanzhi Zhu, Jiawei Liu, Feiyu Gao, Wenyu Liu, Xinggang Wang, Peng Wang, Fei Huang, Cong Yao, Zhibo Yang	PDF	N/A
Length-Aware Motion Synthesis via Latent Diffusion	Alessio Sampieri*, Alessio Palma, Indro Spinelli, Fabio Galasso	PDF	N/A
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification	Yunlong Zhang, Honglin Li, YUXUAN SUN, Chenglu Zhu, Sunyi Zheng, Lin Yang	PDF	N/A
An Optimal Control View of LoRA and Binary Controller Design for Vision Transformers	Chi Zhang*, Jingpu Cheng, Qianxiao Li	PDF	N/A
Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model	Danni Yang, Ruohan Dong, Jiayi Ji, Yiwei Ma, Haowei Wang, Xiaoshuai Sun*, Rongrong Ji	PDF	N/A
FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection	Jianwei Zhao, Xin Li, Fan Yang, Qiang Zhai, Ao Luo, Zhicheng Jiao, Hong Cheng	PDF	N/A
Improving image synthesis with diffusion-negative sampling	Alakh Desai*, Nuno Vasconcelos	PDF	N/A
AvatarPose: Avatar-guided 3D Pose Estimation of Close Human Interaction from Sparse Multi-view Videos	Feichi Lu, Zijian Dong, Jie Song, Otmar Hilliges	PDF	N/A
FedVAD: Enhancing Federated Video Anomaly Detection with GPT-Driven Semantic Distillation	Fan Qi, Ruijie Pan, Huaiwen Zhang, Changsheng Xu	PDF	N/A
SignGen: End-to-End Sign Language Video Generation with Latent Diffusion	Fan Qi, Yu Duan, Changsheng Xu, Huaiwen Zhang	PDF	N/A
"Idling Neurons, Appropriately Lenient Workload During Fine-tuning Leads to Better Generalization"	Hongjing Niu, Hanting Li, Bin Li, Feng Zhao	PDF	N/A
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems	Sojin Lee, Dogyun Park, Inho Kong, Hyunwoo J. Kim*	PDF	N/A
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations	Anselm Haselhoff*, Kevin Trelenberg, Fabian Küppers, Jonas Schneider	PDF	N/A
Accelerating Image Generation with Sub-path Linear Approximation Model	Chen Xu, Tianhui Song, Weixin Feng, Xubin Li, Tiezheng Ge, Bo Zheng, Limin Wang*	PDF	N/A
Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models	Samuele Poppi, Tobia Poppi, Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara	PDF	N/A
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation	Nikolai Kalischek*, Torben Peters, Jan Dirk Wegner, Konrad Schindler	PDF	N/A
Camera Calibration using a Collimator System	Shunkun Liang, Banglei Guan*, Zhenbao Yu, Pengju Sun, Yang Shang	PDF	N/A
Label-free Neural Semantic Image Synthesis	Jiayi Wang*, Kevin A Laube, Yumeng Li, Jan Hendrik Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva	PDF	N/A
Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation	Yuwen Pan*, Rui Sun, Naisong Luo, Tianzhu Zhang, Yongdong Zhang	PDF	N/A
Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures	Jiaqi He, Zhihua Wang, Leon Wang, Tsein-I Liu, Yuming Fang, Qilin Sun*, Kede Ma	PDF	N/A
DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching	Paul Roetzer, Ahmed Abbas, Dongliang Cao, Florian Bernard, Paul Swoboda	PDF	N/A
Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts	Byeongjun Park, Hyojun Go, Jin-Young Kim, Sangmin Woo, Seokil Ham, Changick Kim*	PDF	N/A
"FARSE-CNN: Fully Asynchronous, Recurrent and Sparse Event-Based CNN"	Riccardo Santambrogio*, Marco Cannici, Matteo Matteucci	PDF	N/A
ConDense: Consistent 2D-3D Pre-training for Dense and Sparse Features from Multi-View Images	Xiaoshuai Zhang*, Zhicheng Wang, Howard Zhou, Soham Ghosh, Danushen L Gnanapragasam, Varun Jampani, Hao Su, Leonidas Guibas	PDF	N/A
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment	Anurag Das*, Xinting Hu, Li Jiang, Bernt Schiele	PDF	N/A
Event-Aided Time-To-Collision Estimation for Autonomous Driving	Jinghang Li, Bangyan Liao, Xiuyuan Lu, Peidong Liu, Shaojie Shen, Yi Zhou*	PDF	N/A
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation	Muyang Qiu, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi*, Yang Gao	PDF	N/A
VEON: Vocabulary-Enhanced Occupancy Prediction	Jilai Zheng, Pin Tang, Zhongdao Wang, Guoqing Wang, Xiangxuan Ren, Bailan Feng, Chao Ma*	PDF	N/A
Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models	Mengyu Zheng, Yehui Tang, Zhiwei Hao, Kai Han, Yunhe Wang, Chang Xu	PDF	N/A
The Sky's the Limit: Relightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility	James A D Gardner*, Evgenii Kashin, Bernhard Egger, William Smith	PDF	N/A
DiffFAS: Face Anti-Spoofing via Generative Diffusion Models	Xinxu Ge, Xin Liu, Zitong Yu, Jingang Shi, Chun Qi, Jie Li, Heikki Kälviäinen	PDF	N/A
Hetecooper: Feature Collaboration Graph for Heterogeneous Collaborative Perception	Congzhang Shao, Guiyang Luo, Quan Yuan, Yifu Chen, Yilin Liu, Gong Kexin, Jinglin Li	PDF	N/A
Learning-based Axial Video Motion Magnification	Kwon Byung-Ki, Oh Hyun-Bin, Kim Jun-Seong, Hyunwoo Ha, Tae-Hyun Oh*	PDF	N/A
Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights	Yan Hao, Florent Forest*, Olga Fink	PDF	N/A
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion	Linlan Huang, Xusheng Cao, Haori Lu, Xialei Liu*	PDF	N/A
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process	Yihang Chen, Tsai Hor Chan, Guosheng Yin, Yuming Jiang, Lequan Yu*	PDF	N/A
Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition	Haijun Xiong, Bin Feng*, Xinggang Wang, Wenyu Liu	PDF	N/A
Retargeting Visual Data with Deformation Fields	Tim Elsner*, Julia Berger, Tong Wu, Victor Czech, Lin Gao, Leif Kobbelt	PDF	N/A
Delving Deep into Engagement Prediction of Short Videos	dasong Li, Wenjie Li, Baili Lu, Hongsheng Li, Sizhuo Ma, Gurunandan Krishnan, Jian Wang*	PDF	N/A
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration	Emanuel Sanchez Aimar*, Nathaniel D Helgesen, Yonghao Xu, Marco Kuhlmann, Michael Felsberg	PDF	N/A
CLEO: Continual Learning of Evolving Ontologies	Shishir Muralidhara*, Saqib Bukhari, Georg Dr. Schneider, Didier Stricker, René Schuster	PDF	N/A
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization	Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie	PDF	N/A
Wavelet Convolutions for Large Receptive Fields	Shahaf E Finder, Roy Amoyal, Eran Treister, Oren Freifeld	PDF	N/A
"BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion"	Bo-Kyeong Kim*, Hyoung-Kyu Song, Thibault Castells, Shinkook Choi	PDF	N/A
Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action Segmentation	Haoyu Ji, Bowen Chen, Xinglong Xu, Weihong Ren, Zhiyong Wang*, Honghai Liu	PDF	N/A
Leveraging scale- and orientation-covariant features for planar motion estimation	Marcus Valtonen Örnhag*, Alberto Jaenal	PDF	N/A
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning	Zijun Long*, Lipeng Zhuang, George W Killick, Richard Mccreadie, Gerardo Aragon-Camarasa, Paul Henderson	PDF	N/A
Adaptive Parametric Activation	Konstantinos P Alexandridis*, Jiankang Deng, Anh Nguyen, Shan Luo	PDF	N/A
Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization	Yukun Wang, Kunhong Li, Minglin Chen, Longguang Wang, Shunbo Zhou, Kaiwen Xue, Yulan Guo	PDF	N/A
VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors	Sungwon Hwang, Min-Jung Kim, Taewoong Kang, Jayeon Kang, Jaegul Choo*	PDF	N/A
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation	Tianpei Zou, Sanqing Qu, Zhijun Li, Alois C. Knoll, 何 良华, Guang Chen*, Changjun Jiang	PDF	N/A
SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting	Richard Shaw*, Michal Nazarczuk, Jifei Song, Arthur Moreau, Sibi Catley-Chandar, Helisa Dhamo, Eduardo Pérez Pellitero	PDF	N/A
Temporal-Mapping Photography for Event Cameras	Yuhan Bao, Lei Sun, Yuqin Ma, Kaiwei Wang	PDF	N/A
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data	Tuo Feng, Wenguan Wang, Ruijie Quan, Yi Yang*	PDF	N/A
LineFit: A Geometric Approach for Fitting Line Segments in Images	Marion Boyer, David Youssefi, Florent Lafarge*	PDF	N/A
Six-Point Method for Multi-Camera Systems with Reduced Solution Space	Banglei Guan, Ji Zhao*, Laurent Kneip	PDF	N/A
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network	Sukwon Yun, Jie Peng, Alexandro E Trevino, Chanyoung Park, Tianlong Chen*	PDF	N/A
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance	Shenhao Zhu, Junming Leo Chen, Zuozhuo Dai, Zilong Dong, Yinghui Xu, Xun Cao, Yao Yao, Hao Zhu, Siyu Zhu	PDF	N/A
AdaDistill: Adaptive Knowledge Distillation for Deep Face Recognition	Fadi Boutros*, Vitomir Struc, Naser Damer	PDF	N/A
HERGen: Elevating Radiology Report Generation with Longitudinal Data	Fuying Wang, Shenghui Du, Lequan Yu*	PDF	N/A
Labeled Data Selection for Category Discovery	Bingchen Zhao, Nico Lang, Serge Belongie, Oisin Mac Aodha	PDF	N/A
Dependency-aware Differentiable Neural Architecture Search	Buang Zhang*, Xinle Wu, Hao Miao, Bin Yang, Chenjuan Guo	PDF	N/A
WAS: Dataset and Methods for Artistic Text Segmentation	Xudong Xie, Yuzhe Li, Yang Liu, Zhifei Zhang, Zhaowen Wang, Wei Xiong, Xiang Bai*	PDF	N/A
CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection	Wuyang Li, Xinyu Liu, Jiayi Ma, Yixuan Yuan*	PDF	N/A
GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer	Youngho Yoon, Hyun-Kurl Jang, Kuk-Jin Yoon*	PDF	N/A
Norface: Improving Facial Expression Analysis by Identity Normalization	Hanwei Liu, Rudong An, Zhimeng Zhang, Bowen Ma, Wei Zhang, Yan Song, Yujing Hu, Chen Wei, Yu Ding	PDF	N/A
Unlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and Visual Analysis Strategy	Hong Zhang, Yixuan Lyu, Qian Yu, Hanyang Liu, Huimin Ma, Yuan Ding, Yifan Yang*	PDF	N/A
SNeRV: Spectra-preserving Neural Representation for Video	Jina Kim, Jihoo Lee, Jewon Kang*	PDF	N/A
COMO: Compact Mapping and Odometry	Eric Dexheimer*, Andrew Davison	PDF	N/A
OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction	Yini Fang*, Jingling Yu, Haozheng Zhang, Ralf van der Lans, Bertram E Shi	PDF	N/A
SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder	Jaeseong Lee, Junha Hyung, Sohyun Jeong, Jaegul Choo*	PDF	N/A
EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation	Chenhongyi Yang*, Anastasia Tkach, Shreyas Hampali, Linguang Zhang, Elliot J Crowley, Cem Keskin	PDF	N/A
An Information Theoretical View for Out-Of-Distribution Detection	Hu Jinjing, Wenrui Liu, Hong Chang*, Bingpeng MA, Shiguang Shan, Xilin Chen	PDF	N/A
DMiT: Deformable Mipmapped Tri-Plane Representation for Dynamic Scenes	Jing-Wen Yang, Jia-Mu Sun, Yong-Liang Yang, Jie Yang, Ying Shan, Yan-Pei Cao, Lin Gao*	PDF	N/A
Gated Temporal Diffusion for Stochastic Long-term Dense Anticipation	Olga Zatsarynna, Emad Bahrami, Yazan Abu Farha, Gianpiero Francesca, Jürgen Gall*	PDF	N/A
Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation	Wenbo Qi, Jiafei Wu, S. C. Chan	PDF	N/A
HowToCaption: Prompting LLMs to Transform Video Annotations at Scale	Nina Shvetsova*, Anna Kukleva, Xudong Hong, Christian Rupprecht, Bernt Schiele, Hilde Kuehne	PDF	N/A
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection	Sanmin Kim, Youngseok Kim, Sihwan Hwang, Hyeonjun Jeong, Dongsuk Kum*	PDF	N/A
Beyond the Data Imbalance: Employing the Heterogeneous Datasets for Vehicle Maneuver Prediction	Hyeongseok Jeon, Sanmin Kim, Abi Rahman Syamil, Junsoo Kim, Dongsuk Kum*	PDF	N/A
On Pretraining Data Diversity for Self-Supervised Learning	Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem	PDF	N/A
Look Around and Learn: Self-Training Object Detection by Exploration	Gianluca Scarpellini, Stefano Rosa, Pietro Morerio, Lorenzo Natale, Alessio Del Bue	PDF	N/A
Bayesian Self-Training for Semi-Supervised 3D Segmentation	Ozan Unal*, Christos Sakaridis, Luc Van Gool	PDF	N/A
Motion and Structure from Event-based Normal Flow	Zhongyang Ren, Bangyan Liao, Delei Kong, Jinghang Li, Peidong Liu, Laurent Kneip, Guillermo Gallego, Yi Zhou*	PDF	N/A
ParCo: Part-Coordinating Text-to-Motion Synthesis	Qiran Zou, Shangyuan Yuan, Shian Du, Yu Wang, Chang Liu, Yi Xu, Jie Chen, Xiangyang Ji*	PDF	N/A
Learning to Complement and to Defer to Multiple Users	Zheng Zhang, Wenjie Ai, Kevin Wells, David M Rosewarne, Thanh-Toan Do, Gustavo Carneiro*	PDF	N/A
Tiny Models are the Computational Saver for Large Models	Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John	PDF	N/A
DragVideo: Interactive Drag-style Video Editing	Yufan Deng, Ruida WANG, Yuhao ZHANG, Yu-Wing Tai, Chi-Keung Tang	PDF	N/A
Multi-Sentence Grounding for Long-term Instructional Video	Zeqian Li, Qirui Chen, Tengda Han, Ya Zhang, Yan-Feng Wang, Weidi Xie*	PDF	N/A
Do Generalised Classifiers really work on Human Drawn Sketches?	Hmrishav Bandyopadhyay*, Pinaki Nath Chowdhury, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Ayan Kumar Bhunia, Yi-Zhe Song	PDF	N/A
KMTalk: Speech-Driven 3D Facial Animation with Key Motion Embedding	Zhihao Xu, Shengjie Gong, Jiapeng Tang, Lingyu Liang, Yining Huang, Haojie Li, Shuangping Huang*	PDF	N/A
Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°	Yuxiao He, Yiyu Zhuang, Yanwen Wang, Yao Yao, Siyu Zhu, Xiaoyu Li, Qi Zhang, Xun Cao, Hao Zhu*	PDF	N/A
MotionDirector: Motion Customization of Text-to-Video Diffusion Models	Rui Zhao, Yuchao Gu, Jay Zhangjie Wu, David Junhao Zhang, Jia-Wei Liu, weijia wu, Jussi Keppo, Mike Zheng Shou*	PDF	N/A
Text2LiDAR: Text-guided LiDAR Point Clouds Generation via Equirectangular Transformer	Yang Wu, Kaihua Zhang, Jianjun Qian, Jin Xie, Jian Yang	PDF	N/A
Enhanced Motion Forecasting with Visual Relation Reasoning	Sungjune Kim, Hadam Baek, Seunggwan Lee, Hyung-gun Chi, Hyerin Lim, Jinkyu Kim, Sangpil Kim	PDF	N/A
Rate-Distortion-Cognition Controllable Versatile Neural Image Compression	Jinming Liu*, Ruoyu Feng, Yunpeng Qi, Qiuyu Chen, Zhibo Chen, Wenjun Zeng, Xin Jin	PDF	N/A
Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers	Zixuan Fu*, Lanqing Guo, Chong Wang, Yufei Wang, Zhihao Li, Bihan Wen	PDF	N/A
LiDAR-based All-weather 3D Object Detection via Prompting and Distilling 4D Radar	Yujeong Chae, Hyeonseong Kim, Changgyoon Oh, Minseok Kim, Kuk-Jin Yoon*	PDF	N/A
MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models	Xin Liu*, Yichen Zhu, Jindong Gu, Yunshi Lan, Chao Yang, Yu Qiao	PDF	N/A
Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models	Siao Tang, Xin Wang, Hong Chen, Chaoyu Guan, Zewen Wu, Yansong Tang, Wenwu Zhu	PDF	N/A
Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer	Eric Brachmann*, Jamie Wynn, Shuai Chen, Tommaso Cavallari, Aron Monszpart, Daniyar Turmukhambetov, Victor Adrian Prisacariu	PDF	N/A
Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors	Ruicheng Wang*, Jianfeng Xiang, Jiaolong Yang, Xin Tong	PDF	N/A
Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation	Xinyu Yang*, Hossein Rahmani, Dame S Black, Bryan M Williams	PDF	N/A
StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion	Ming Tao, Bingkun Bao, Hao Tang, Yaowei Wang, Changsheng Xu	PDF	N/A
ST-LLM: Large Language Models Are Effective Temporal Learners	Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, Ge Li*	PDF	N/A
Exact Diffusion Inversion via Bidirectional Integration Approximation	Guoqiang Zhang*, j.p. lewis, W. Bastiaan Kleijn	PDF	N/A
Textual Query-Driven Mask Transformer for Domain Generalized Segmentation	Byeonghyun Pak, Byeongju Woo, Sunghwan Kim, Dae-hwan Kim, Hoseong Kim*	PDF	N/A
EmoTalk3D: High-Fidelity Free-View Synthesis of Emotional 3D Talking Head	Qianyun He, Xinya Ji, Yicheng Gong, Yuanxun Lu, Zhengyu Diao, Linjia Huang, Yao Yao, Siyu Zhu, Zhan Ma, Songcen Xu, Xiaofei Wu, Zixiao Zhang, Xun Cao, Hao Zhu*	PDF	N/A
Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors	Wei Shang, Dongwei Ren, Wanying Zhang, Yuming Fang, Wangmeng Zuo, Kede Ma	PDF	N/A
Object-Centric Diffusion for Efficient Video Editing	Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M Asano, Amirhossein Habibian	PDF	N/A
Single-Mask Inpainting for Voxel-based Neural Radiance Fields	Jiafu Chen*, Tianyi Chu, Jiakai Sun, Wei Xing, Lei Zhao	PDF	N/A
McGrids: Monte Carlo-Driven Adaptive Grids for Iso-Surface Extraction	Daxuan Ren*, Hezi Shi, Jianmin Zheng, Jianfei Cai	PDF	N/A
Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval	Aneeshan Sain*, Pinaki Nath Chowdhury, Subhadeep Koley, Ayan Kumar Bhunia, Yi-Zhe Song	PDF	N/A
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts	Yanting Yang, Minghao Chen*, Qibo Qiu, Jiahao WU, Wenxiao Wang, Binbin Lin, Ziyu Guan, Xiaofei He	PDF	N/A
Diffusion for Natural Image Matting	Yihan Hu, Yiheng Lin, Wei Wang, Yao Zhao, Yunchao Wei, Humphrey Shi	PDF	N/A
Agglomerative Token Clustering	Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, Thomas B. Moeslund	PDF	N/A
CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection	Jinhao Deng, Wei Ye, Hai Wu, Qiming Xia, Xun Huang, Xin Li, Jin Fang, Wei Li, Chenglu Wen, Cheng Wang	PDF	N/A
Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning	Jianjie Luo, Jingwen Chen, Yehao Li, Yingwei Pan*, Jianlin Feng, Hongyang Chao, Ting Yao	PDF	N/A
ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition	Tianhao Wu*, Chuanxia Zheng, Qianyi Wu, Tat-Jen Cham	PDF	N/A
NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition	Chenyu Liu, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Mingjun Chen, Cong Liu, Jun Du*, Qingfeng Liu	PDF	N/A
GIVT: Generative Infinite-Vocabulary Transformers	Michael Tschannen*, Cian Eastwood, Fabian Mentzer	PDF	N/A
Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment	Brian Gordon, Yonatan Bitton, Yonatan Shafir, Roopal Garg, Xi Chen, Dani Lischinski, Daniel Cohen-Or, Idan Szpektor	PDF	N/A
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density	Peiyu Yang*, Naveed Akhtar, Mubarak Shah, Ajmal Mian	PDF	N/A
Multi-Modal Video Dialog State Tracking in the Wild	Adnen Abdessaied*, Lei Shi, Andreas Bulling	PDF	N/A
Factorized Diffusion: Perceptual Illusions by Noise Decomposition	Daniel Geng*, Inbum Park, Andrew Owens	PDF	N/A
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now	Yimeng Zhang*, jinghan jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu	PDF	N/A
Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions	Jin Gao, Lei Gan, Yuankai Li, Yixin Ye, Dequan Wang*	PDF	N/A
StereoGlue: Joint Feature Matching and Robust Estimation	Daniel Barath*, Dmytro Mishkin, Luca Cavalli, Paul-Edouard Sarlin, Petr Hruby, Marc Pollefeys	PDF	N/A
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory	Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor Tsang, Qing Guo	PDF	N/A
Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction	Zihao Liu, Xiaoyu Zhang, Guangwei Liu, Ji Zhao, Ningyi Xu	PDF	N/A
Robust Zero-Shot Crowd Counting and Localization with Adaptive Resolution SAM	Jia Wan*, Qiangqiang Wu, Wei Lin, Antoni Chan	PDF	N/A
AWOL: Analysis WithOut synthesis using Language	Silvia Zuffi*, Michael J. Black	PDF	N/A
OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework	Wanyun Li, Pinxue Guo, Xinyu Zhou, Lingyi Hong, Yangji He, Xiangyu Zheng, Wei Zhang, Wenqiang Zhang	PDF	N/A
M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions	Mingsheng Li, Xin Chen, Chi Zhang, Sijin Chen, Hongyuan Zhu, Fukun Yin, Zhuoyuan Li, Gang Yu, Tao Chen*	PDF	N/A
MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes	Casper van Engelenburg*, Fatemeh Mostafavi, Emanuel Kuhn, Yuntae Jeon, Michael Franzen, Matthias Standfest, Jan van Gemert, Seyran Khademi	PDF	N/A
End-to-End Rate-Distortion Optimized 3D Gaussian Representation	Henan Wang*, Hanxin Zhu, Tianyu He, Runsen Feng, Jiajun Deng, Jiang Bian, Zhibo Chen	PDF	N/A
Temporal Residual Jacobians for Rig-free Motion Transfer	Sanjeev Muralikrishnan*, Niladri Shekhar Dutt, Siddhartha Chaudhuri, Noam Aigerman, Vladimir Kim, Matthew Fisher, Niloy Mitra	PDF	N/A
LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping	Nikhil Gosala*, Kürsat Petek, B Ravi Kiran, Senthil Yogamani, Paulo L. J. Drews-Jr, Wolfram Burgard, Abhinav Valada	PDF	N/A
Deblurring 3D Gaussian Splatting	Byeonghyeon Lee, Howoong Lee, Xiangyu Sun, Usman Ali, Eunbyung Park	PDF	N/A
Taming Lookup Tables for Efficient Image Retouching	Sidi Yang, Binxiao Huang, Mingdeng Cao, Yatai Ji, Hanzhong Guo, Ngai Wong, Yujiu Yang*	PDF	N/A
DualDn: Dual-domain Denoising via Differentiable ISP	Ruikang Li, Yujin Wang*, Shiqi Chen, Fan Zhang, Jinwei Gu, Tianfan Xue	PDF	N/A
Quantization-Friendly Winograd Transformations for Convolutional Neural Networks	Vladimir Protsenko*, Vladimir Kryzhanovskiy, Alexander Filippov	PDF	N/A
A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting	Junhao Zhuang, Yanhong Zeng, WENRAN LIU, Chun Yuan, Kai Chen	PDF	N/A
Self-supervised Shape Completion via Involution and Implicit Correspondences	Mengya Liu*, Ajad Chhatkuli, Janis Postels, Luc Van Gool, Federico Tombari	PDF	N/A
From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition	Maan Qraitem*, Kate Saenko, Bryan A. Plummer	PDF	N/A
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector	Yuqian Fu*, Yu Wang, Yixuan Pan, Xingyu Qiu, Lian Huai, Zeyu Shangguan, Tong Liu, Yanwei Fu, Luc Van Gool, Xingqun Jiang	PDF	N/A
NICP: Neural ICP for 3D Human Registration at Scale	Riccardo Marin*, Enric Corona, Gerard Pons-Moll	PDF	N/A
PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines	ZiDong Wang, Zeyu Lu, Di Huang, Tong He, Xihui Liu, Wanli Ouyang, Lei Bai	PDF	N/A
FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation	Xinzhi Mu*, Li Chen, Bohan CHEN, Shuyang Gu, Jianmin Bao, Dong Chen, Ji Li, Yuhui Yuan	PDF	N/A
Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models	Kent Fujiwara*, Mikihiro Tanaka, Qing Yu	PDF	N/A
StableDrag: Stable Dragging for Point-based Image Editing	Yutao Cui, Xiaotong Zhao, Guozhen Zhang, Shengming Cao, Kai Ma, Limin Wang*	PDF	N/A
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context	Shashank Agnihotri*, Julia Grabinski, Margret Keuper	PDF	N/A
Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement	Aditay Tripathi*, Pradeep Shenoy, Anirban Chakraborty	PDF	N/A
Neural Surface Detection for Unsigned Distance Fields	Federico Stella*, Nicolas Talabot, Hieu Le, Pascal Fua	PDF	N/A
One-Shot Diffusion Mimicker for Handwritten Text Generation	Gang Dai, Yifan Zhang, Quhui Ke, Qiangya Guo, Shuangping Huang*	PDF	N/A
Event-Based Motion Magnification	Yutian Chen, Shi Guo*, Yu Fangzheng, Feng Zhang, Jinwei Gu, Tianfan Xue	PDF	N/A
Improving Neural Surface Reconstruction with Feature Priors from Multi-View Images	Xinlin Ren, Chenjie Cao, Yanwei Fu, Xiangyang Xue	PDF	N/A
Towards Multimodal Sentiment Analysis Debiasing via Bias Purification	Dingkang Yang, Mingcheng Li, Dongling Xiao, Yang Liu, Kun Yang, Zhaoyu Chen, Yuzheng Wang, Peng Zhai, Ke Li, Lihua Zhang	PDF	N/A
Kernel Diffusion: An Alternate Approach to Blind Deconvolution	Yash Sanghvi*, Yiheng Chi, Stanley Chan	PDF	N/A
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty	Tim Broedermann*, David Brüggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool	PDF	N/A
Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense Reasoning	Sanjoy Kundu, Shubham Trehan, Sathyanarayanan N Aakur*	PDF	N/A
Bidirectional Progressive Transformer for Interaction Intention Anticipation	Zichen Zhang, Hongchen Luo, Wei Zhai, Yu Kang, Yang Cao	PDF	N/A
Reinforcement Learning Meets Visual Odometry	Nico Messikommer*, Giovanni Cioffi, Mathias Gehrig, Davide Scaramuzza	PDF	N/A
Bucketed Ranking-based Losses for Efficient Training of Object Detectors	Feyza Yavuz*, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan	PDF	N/A
Robustness Tokens: Towards Adversarial Robustness of Transformers	Brian Pulfer*, Yury Belousov, Slava Voloshynovskiy	PDF	N/A
RSL-BA: Rolling Shutter Line Bundle Adjustment	Yongcong Zhang, Bangyan Liao, Yifei Xue, Lu Chen, Peidong Liu, Yizhen Lao*	PDF	N/A
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images	Zaid Tasneem*, Akshat Dave, Abhishek Singh, Kushagra Tiwary, Praneeth Vepakomma, Ashok Veeraraghavan, Ramesh Raskar	PDF	N/A
DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation	Haibo Yang, Yang Chen, Yingwei Pan*, Ting Yao, Zhineng Chen, Zuxuan Wu, Yu-Gang Jiang, Tao Mei	PDF	N/A
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models	Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu*	PDF	N/A
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields	Yash Bhalgat*, Iro Laina, Joao F Henriques, Andrew Zisserman, Andrea Vedaldi	PDF	N/A
ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction	Shaozhe Hao, Kai Han, Zhengyao Lv, Shihao Zhao, Kwan-Yee K. Wong*	PDF	N/A
PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments	Rixin Zhou*, Ding Xia, YI ZHANG, honglin pang, Xi Yang, chuntao li	PDF	N/A
Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic Graph	Zhengcen Li, Xinle Chang, Yueran Li, Jingyong Su*	PDF	N/A
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision	Hao Dong, Eleni Chatzi, Olga Fink*	PDF	N/A
ReCON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories	Chen-Yi Lu*, Shubham Agarwal, Md Mehrab Tanjim, Kanak Mahadik, Anup Rao, Subrata Mitra, Shiv K Saini, Saurabh Bagchi, Somali Chaterji	PDF	N/A
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval	Pavel Suma*, Giorgos Kordopatis-Zilos, Ahmet Iscen, Giorgos Tolias	PDF	N/A
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models	Jeongho Kim, Min-Jung Kim, Junsoo Lee, Jaegul Choo*	PDF	N/A
3D Hand Sequence Recovery from Real Blurry Images and Event Stream	JoonKyu Park, Gyeongsik Moon, Weipeng Xu, Evan Kaseman, Takaaki Shiratori, Kyoung Mu Lee*	PDF	N/A
GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation	Bangyan Liao, Zhenjun Zhao, Lu Chen, Haoang Li, Daniel Cremers, Peidong Liu*	PDF	N/A
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection	Jian Shi*, Pengyi Zhang, Ni Zhang, Hakim Ghazzai, Peter Wonka	PDF	N/A
StyleCity: Large-Scale 3D Urban Scenes Stylization	Yingshu Chen, Huajian Huang*, Tuan-Anh Vu, Ka Chun Shum, Sai-Kit Yeung	PDF	N/A
ViG-Bias: Visually Grounded Bias Discovery and Mitigation	Badr-Eddine Marani*, Mohamed Hanini, Nihitha Malayarukil, Stergios Christodoulidis, Maria Vakalopoulou, Enzo Ferrante	PDF	N/A
DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior	Xinqi Lin, Jingwen He, Ziyan Chen, Zhaoyang Lyu, Bo Dai, Fanghua Yu, Yu Qiao, Wanli Ouyang, Chao Dong	PDF	N/A
Assessing Sample Quality via the Latent Space of Generative Models	Jingyi Xu*, Hieu Le, Dimitris Samaras	PDF	N/A
Relightable Neural Actor with Intrinsic Decomposition and Pose Control	Diogo Carbonera Luvizon*, Vladislav Golyanik, Adam Kortylewski, Marc Habermann, Christian Theobalt	PDF	N/A
Sur^2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-view Images	Zhangjin Huang, Zhihao Liang, Kui Jia	PDF	N/A
HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes	Zhuopeng Li, Yilin Zhang, Chenming Wu, Jianke Zhu, Liangjun Zhang	PDF	N/A
Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation	Yangzheng Wu*, Michael Alan Greenspan	PDF	N/A
Consistent 3D Line Mapping	Xulong Bai, Hainan Cui, Shuhan Shen	PDF	N/A
Distributed Active Client Selection With Noisy Clients Using Model Association Scores	Kwang In Kim*	PDF	N/A
PixOOD: Pixel-Level Out-of-Distribution Detection	Tomas Vojir*, Jan Sochman, Jiri Matas	PDF	N/A
GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns	Maria Korosteleva*, Timur Levent Kesdogan, Fabian Kemper, Stephan Wenninger, Jasmin Koller, Yuhan Zhang, Mario Botsch, Olga Sorkine-Hornung	PDF	N/A
Towards a Density Preserving Objective Function for Learning on Point Sets	Haritha Jayasinghe*, Ioannis Brilakis	PDF	N/A
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking	Yuheng Li, Tianyu Luan, Yizhou Wu, Shaoyan Pan, Yenho Chen, Xiaofeng Yang*	PDF	N/A
VF-NeRF: Viewshed Fields for Rigid NeRF Registration	Leo Segre*, Shai Avidan	PDF	N/A
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction	Jeffrey Wen*, Rizwan Ahmad, Phillip Schniter	PDF	N/A
Trainable Highly-expressive Activation Functions	Irit Chelly*, Shahaf E. Finder, Shira Ifergane, Oren Freifeld	PDF	N/A
Region-Aware Sequence-to-Sequence Learning for Hyperspectral Denoising	JiaHua Xiao, Yang Liu, Xing Wei*	PDF	N/A
Self-Supervised Representation Learning for Adversarial Attack Detection	Yi Li*, Plamen Angelov, Neeraj Suri	PDF	N/A
Do text-free diffusion models learn discriminative visual representations?	Soumik Mukhopadhyay, Matthew A Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Jun Ohya, Abhinav Shrivastava	PDF	N/A
Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness	Huy Phan*, Jinqi Xiao, Yang Sui, Tianfang Zhang, Zijie Tang, Cong Shi, Yan Wang, Yingying Chen, Bo Yuan	PDF	N/A
DOCCI: Descriptions of Connected and Contrasting Images	Yasumasa Onoe*, Sunayana Rane, Zachary E Berger, Yonatan Bitton, Jaemin Cho, Roopal Garg, Alexander Ku, Zarana Parekh, Jordi Pont-Tuset, Garrett Tanzer, Su Wang, Jason M Baldridge	PDF	N/A
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks	Ziming Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang	PDF	N/A
AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild	Junho Park, Kyeongbo Kong, Suk-Ju Kang*	PDF	N/A
Dataset Quantization with Active Learning based Adaptive Sampling	Zhenghao Zhao*, Yuzhang Shang, Junyi Wu, Yan Yan	PDF	N/A
LogoSticker: Inserting Logos into Diffusion Models for Customized Generation	Mingkang Zhu, Xi CHEN, Zhongdao Wang, Hengshuang Zhao, Jiaya Jia	PDF	N/A
LEROjD: Lidar Extended Radar-Only Object Detection	Patrick Palmer*, Martin Krüger, Stefan Schütte, Richard Altendorfer, Ganesh Adam, Torsten Bertram	PDF	N/A
"ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation"	Jack Lu, Ryan Teehan, Mengye Ren*	PDF	N/A
Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching	Junpeng Jing, Ye Mao, Krystian Mikolajczyk	PDF	N/A
Probabilistic Image-Driven Traffic Modeling via Remote Sensing	Scott Workman*, Armin Hadzic	PDF	N/A
IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination	Xi Chen, Sida Peng, Dongchen Yang, Yuan Liu, Bowen Pan, Chengfei Lyu, Xiaowei Zhou	PDF	N/A
VideoStudio: Generating Consistent-Content and Multi-Scene Videos	Fuchen Long, Zhaofan Qiu*, Ting Yao, Tao Mei	PDF	N/A
Semantic Residual Prompts for Continual Learning	Martin Menabue, Emanuele Frascaroli, Matteo Boschini, Enver Sangineto, Lorenzo Bonicelli, Angelo Porrello, SIMONE CALDERARA	PDF	N/A
TransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds	Elona Dupont*, Kseniya Cherenkova, Dimitrios Mallis, Gleb A Gusev, Anis Kacem, Djamila Aouada	PDF	N/A
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling	Siming Yan*, Min Bai, Weifeng Chen, Xiong Zhou, Qixing Huang, Li Erran Li	PDF	N/A
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection	Alireza Ganjdanesh*, Yan Kang, Yuchen Liu, Richard Zhang, Zhe Lin, Heng Huang	PDF	N/A
Occupancy as Set of Points	Yiang Shi, Tianheng Cheng, Qian Zhang, Wenyu Liu, Xinggang Wang*	PDF	N/A
UAV First-Person Viewers Are Radiance Field Learners	Liqi Yan, Qifan Wang, Junhan Zhao, Qiang Guan, Zheng Tang, Jianhui Zhang, Dongfang Liu	PDF	N/A
Rethinking Few-shot Class-incremental Learning: Learning from Yourself	Yu-Ming Tang, Yi-Xing Peng, Jingke Meng*, Wei-Shi Zheng	PDF	N/A
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection	Erik Wallin*, Lennart Svensson, Fredrik Kahl, Lars Hammarstrand	PDF	N/A
A Fair Ranking and New Model for Panoptic Scene Graph Generation	Julian Lorenz*, Alexander Pest, Daniel Kienzle, Katja Ludwig, Rainer Lienhart	PDF	N/A
Pick-a-back: Selective Device-to-Device Knowledge Transfer in Federated Continual Learning	HyungJune Lee*, JinYi Yoon	PDF	N/A
Compensation Sampling for Improved Convergence in Diffusion Models	Hui Lu*, Albert Ali Salah, Ronald Poppe	PDF	N/A
Situated Instruction Following	So Yeon Min*, Xavier Puig, Devendra Singh Chaplot, Tsung-Yen Yang, Priyam Parashar, Akshara Rai, Ruslan Salakhutdinov, Yonatan Bisk, Roozbeh Mottaghi	PDF	N/A
Holodepth: Programmable Depth-Varying Projection via Computer-Generated Holography	Dorian Chan, Matthew O'Toole, Sizhuo Ma, Jian Wang	PDF	N/A
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model	Armen Avetisyan*, Christopher Xie, Henry Howard-Jenkins, Tsun-Yi Yang, Samir Aroudj, Suvam Patra, Fuyang Zhang, Luke Holland, Duncan Frost, Campbell Orme, Jakob Engel, Edward Miller, Richard Newcombe, Vasileios Balntas	PDF	N/A
GalLop: Learning global and local prompts for vision-language models	Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Audebert, Nicolas Thome	PDF	N/A
Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor	Andrea Conti*, Matteo Poggi, Valerio Cambareri, Stefano Mattoccia	PDF	N/A
Lossy Image Compression with Foundation Diffusion Models	Lucas Relic, Roberto Azevedo, Markus Gross, Christopher Schroers	PDF	N/A
CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation	Monika Wysoczańska*, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzciński, Patrick Pérez	PDF	N/A
FMBoost: Boosting Latent Diffusion with Flow Matching	Johannes S Fischer*, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer	PDF	N/A
COMPOSE: Comprehensive Portrait Shadow Editing	Andrew Z Hou*, Zhixin Shu, Xuaner Zhang, He Zhang, Yannick Hold-Geoffroy, Jae Shin Yoon, Xiaoming Liu	PDF	N/A
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration	Siqi Wang*, Bryan Plummer	PDF	N/A
Diffusion Models as Data Mining Tools	Ioannis Siglidis*, Aleksander Holynski, Alexei A. Efros, Mathieu Aubry, Shiry Ginosar	PDF	N/A
Graph Neural Network Causal Explanation via Neural Causal Models	Arman Behnam*, Binghui Wang	PDF	N/A
"Unsupervised, Online and On-The-Fly Anomaly Detection For Non-Stationary Image Distributions"	Declan GD McIntosh*, Alexandra Branzan Albu	PDF	N/A
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering	Ruofan Liang, Zan Gojcic, Merlin Nimier-David, David Acuna, Nandita Vijaykumar, Sanja Fidler, Zian Wang*	PDF	N/A
GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers	Manu S Pillai*, Mamshad Nayeem Rizve, Mubarak Shah	PDF	N/A
SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather	Edoardo Palladin, Roland Dietze, Praveen Narayanan, Mario Bijelic, Felix Heide	PDF	N/A
Generating Physically Realistic and Directable Human Motions from Multi-Modal Inputs	Aayam Shrestha, Pan Liu, German Ros, Kai Yuan, Alan Fern	PDF	N/A
CoTracker: It is Better to Track Together	Nikita Karaev*, Ignacio Rocco, Ben Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht	PDF	N/A
"SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models"	Ziyi Lin, Dongyang Liu, Renrui Zhang, Peng Gao, Longtian Qiu, Han Xiao, Han Qiu, Wenqi Shao, Keqin Chen, Jiaming Han, Siyuan Huang, Yichi Zhang, Xuming He, Yu Qiao, Hongsheng Li*	PDF	N/A
PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology	Yuxuan Sun, Hao Wu, Chenglu Zhu, Sunyi Zheng, Qizi Chen, Kai Zhang, Yunlong Zhang, Dan Wan, Xiaoxiao Lan, Mengyue Zheng, Jingxiong Li, Xinheng Lyu, Tao Lin, Lin Yang*	PDF	N/A
Improving Adversarial Transferability via Model Alignment	Avery Ma*, Amir-massoud Farahmand, Yangchen Pan, Philip Torr, Jindong Gu	PDF	N/A
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios	Wenhao Ding*, Yulong Cao, DING ZHAO, Chaowei Xiao, Marco Pavone	PDF	N/A
ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation	Hao Tang, Weiyao Wang, Pierre Gleize, Matt Feiszli*	PDF	N/A
Embodied Understanding of Driving Scenarios	Yunsong Zhou*, Linyan Huang, Qingwen Bu, Jia Zeng, Tianyu Li, Hang Qiu, Hongzi Zhu, Minyi Guo, Yu Qiao, Hongyang Li	PDF	N/A
Learning to Drive via Asymmetric Self-Play	Chris Zhang*, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun	PDF	N/A
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation	Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby	PDF	N/A
ViLA: Efficient Video-Language Alignment for Video Question Answering	Xijun Wang*, Junbang Liang, Chun-Kai Wang, Kenan Deng, Yu Lou, Ming C Lin, Shan Yang	PDF	N/A
Factorizing Text-to-Video Generation by Explicit Image Conditioning	Rohit Girdhar*, Mannat Singh, Andrew Brown, Quentin Duval, Samaneh Azadi, Sai Saketh Rambhatla, Mian Akbar Shah, Xi Yin, Devi Parikh, Ishan Misra	PDF	N/A
MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices	Yang Zhao, Zhisheng Xiao, Yanwu Xu, Haolin Jia, Tingbo Hou	PDF	N/A
Open-Set Biometrics: Beyond Good Closed-Set Models	Yiyang Su, Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu*	PDF	N/A
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening	Siyuan Cheng*, Guangyu Shen, Kaiyuan Zhang, Guanhong Tao, Shengwei An, Hanxi Guo, Shiqing Ma, Xiangyu Zhang	PDF	N/A
Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution	Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu*	PDF	N/A
Osmosis: RGBD Diffusion Prior for Underwater Image Restoration	Opher Bar Nathan*, Deborah Levy, Tali Treibitz, Dan Rosenbaum	PDF	N/A
Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization	Feixiang Zhou, Bryan Williams, Hossein Rahmani*	PDF	N/A
Computing the Lipschitz constant needed for fast scene recovery from CASSI measurements	Niels Chr Overgaard*, Anders Holst	PDF	N/A
DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields	Yu Chi*, Fangneng Zhan, Sibo Wu, Christian Theobalt, Adam Kortylewski	PDF	N/A
Flowed Time of Flight Radiance Fields	Mikhail Okunev*, Marc Mapeke, Benjamin Attal, Christian Richardt, Matthew O'Toole, James Tompkin	PDF	N/A
3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing	Haoran Li, Long Ma, Haolin Shi, Yanbin Hao, Yong Liao, Lechao Cheng, Peng Yuan Zhou	PDF	N/A
Fast Registration of Photorealistic Avatars for VR Facial Animation	Chaitanya Patel*, Shaojie Bai, Te-Li Wang, Jason Saragih, Shih-En Wei	PDF	N/A
CoPT: Unsupervised Domain Adaptive Segmentation using Domain-Agnostic Text Embeddings	Cristina Mata*, Kanchana N Ranasinghe, Michael S Ryoo	PDF	N/A
HiFi-Score: Fine-grained Image Description Evaluation with Hierarchical Parsing Graphs	Ziwei Yao, Ruiping Wang*, Xilin Chen	PDF	N/A
Image-to-Lidar Relational Distillation for Autonomous Driving Data	Anas Mahmoud*, Ali Harakeh, Steven Waslander	PDF	N/A
Thinking Outside the BBox: Unconstrained Generative Object Compositing	Gemma Canet Tarrés*, Zhe Lin, Zhifei Zhang, Jianming Zhang, Yizhi Song, Dan Ruta, Andrew Gilbert, John Collomosse, Soo Ye Kim	PDF	N/A
Large-scale Reinforcement Learning for Diffusion Models	Yinan Zhang, Eric Tzeng, Yilun Du, Dmitry Kislyuk	PDF	N/A
CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion	Jiarui Sun, Girish Chowdhary	PDF	N/A
FedHARM: Harmonizing Model Architectural Diversity in Federated Learning	Anestis Kastellos*, Athanasios Psaltis, Charalampos Z Patrikakis, Petros Daras	PDF	N/A
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS	Sharath Girish*, Kamal Gupta, Abhinav Shrivastava	PDF	N/A
Global Counterfactual Directions	Bartłomiej Sobieski, Przemyslaw Biecek	PDF	N/A
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving	Cheng Zhao*, su sun, Ruoyu Wang, Yuliang Guo, Jun-Jun Wan, Zhou Huang, Xinyu Huang, Yingjie Victor Chen, Liu Ren	PDF	N/A
RT-Pose: A 4D Radar-Tensor based 3D Human Pose Estimation and Localization Benchmark	Yuan-Hao Ho, Jen-Hao Cheng, Sheng Yao Kuan, Zhongyu Jiang, Wenhao Chai, Hsiang-Wei Huang, Chih-Lung Lin, Jenq-Neng Hwang*	PDF	N/A
EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models	Ruoxi Chen, Haibo Jin, Yixin Liu, Jinyin Chen*, Haohan Wang, Lichao Sun	PDF	N/A
"RICA^2: Rubric-Informed, Calibrated Assessment of Actions"	Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV, Yin Li*	PDF	N/A
Region-centric Image-Language Pretraining for Open-Vocabulary Detection	Dahun Kim*, Anelia Angelova, Weicheng Kuo	PDF	N/A
Commonly Interesting Images	Fitim Abdullahu, Helmut Grabner	PDF	N/A
Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities	Lorenzo Baraldi*, Federico Cocchi, Marcella Cornia, Lorenzo Baraldi, Alessandro Nicolosi, Rita Cucchiara	PDF	N/A
CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching	Samia Shafique*, Shu Kong, Charless Fowlkes	PDF	N/A
Caltech Aerial RGB-Thermal Dataset in the Wild	Connor Lee*, Matthew Anderson, Nikhil Ranganathan, Xingxing Zuo, Kevin T Do, Georgia Gkioxari, Soon-Jo Chung	PDF	N/A
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models	Benjamin J Biggs*, Arjun Seshadri, Yang Zou, Achin Jain, Aditya Golatkar, Yusheng Xie, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto	PDF	N/A
Volumetric Rendering with Baked Quadrature Fields	Gopal Sharma*, Daniel Rebain, Kwang Moo Yi, Andrea Tagliasacchi	PDF	N/A
CityGuessr: City-Level Video Geo-Localization on a Global Scale	Parth Parag Kulkarni*, Gaurav Kumar Nayak, Mubarak Shah	PDF	N/A
Pseudo-Labelling Should Be Aware of Disguising Channel Activations	Changrui Chen, Kurt Debattista, Jungong Han*	PDF	N/A
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations	Zhi Qin Tan*, Olga Isupova, Gustavo Carneiro, Xiatian Zhu, Yunpeng Li	PDF	N/A
Revising Densification in Gaussian Splatting	Samuel Rota Bulò*, Lorenzo Porzi, Peter Kontschieder	PDF	N/A
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing	Gwanhyeong Koo, Sunjae Yoon, Ji Woo Hong, Chang D. Yoo*	PDF	N/A
"Smoothness, Synthesis, and Sampling: Re-thinking Unsupervised Multi-View Stereo with DIV Loss"	Alex Rich*, Noah Stier, Pradeep Sen, Tobias Hollerer	PDF	N/A
Text Motion Translator: A Bi-Directional Model for Enhanced 3D Human Motion Generation from Open-Vocabulary Descriptions	Yijun Qian*, Jack Urbanek, Alexander Hauptmann, Jungdam Won	PDF	N/A
UL-VIO: Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time Adaptation	Jinho Park*, Se Young Chun, Mingoo Seok	PDF	N/A
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis	Jason J. Yu*, Tristan Aumentado-Armstrong, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker	PDF	N/A
R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding	Qirui Wu*, Sonia Raychaudhuri, Daniel Ritchie, Manolis Savva, Angel X Chang	PDF	N/A
A Graph-Based Approach for Category-Agnostic Pose Estimation	Or Hirschorn*, Shai Avidan	PDF	N/A
Depth-guided NeRF Training via Earth Mover’s Distance	Anita Rau*, Josiah Aklilu, Floyd C Holsinger, Serena Yeung-Levy	PDF	N/A
INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding	Ji Ha Jang, Hoigi Seo, Se Young Chun*	PDF	N/A
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks	Sarah Jabbour*, Gregory Kondas, Ella Kazerooni, Michael Sjoding, David Fouhey, Jenna Wiens	PDF	N/A
Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time	Sanjoy Chowdhury*, Sayan Nag, Subhrajyoti Dasgupta, Jun Chen, Mohamed Elhoseiny, Ruohan Gao, Dinesh Manocha	PDF	N/A
Diagnosing and Re-learning for Balanced Multimodal Learning	Yake Wei, Siwei Li, Ruoxuan Feng, Di Hu*	PDF	N/A
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration	Dongwon Park, Hayeon Kim, Se Young Chun*	PDF	N/A
Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders	Lucas Stoffl, Andy Bonnetto, Stéphane D'Ascoli, Alexander Mathis*	PDF	N/A
BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion	Gwanghyun Kim, Hayeon Kim, Hoigi Seo, Dong Un Kang, Se Young Chun*	PDF	N/A
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views	Chao Xu, Ang Li, Linghao Chen, Yulin Liu, Ruoxi Shi, Hao Su, Minghua Liu	PDF	N/A
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning	Vishal Nedungadi, Ankit Kariryaa, Stefan Oehmcke, Serge Belongie, Christian Igel, Nico Lang*	PDF	N/A
Discovering Unwritten Visual Classifiers with Large Language Models	Mia Chiquier*, Utkarsh Mall, Carl Vondrick	PDF	N/A
LITA: Language Instructed Temporal-Localization Assistant	De-An Huang*, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz	PDF	N/A
MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain	Timothy Chase Jr*, Karthik Dantu	PDF	N/A
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs	Keen You*, Haotian Zhang, Eldon Schoop, Floris Weers, Amanda Swearngin, Jeff Nichols, Yinfei Yang, Zhe Gan	PDF	N/A
Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data	Zhengfeng Lai*, Joohi Chauhan, Brittany N. Dugger, Chen-Nee Chuah	PDF	N/A
AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation	Yangchao Wu*, Tian Yu Liu, Hyoungseob Park, Stefano Soatto, Dong Lao, Alex Wong	PDF	N/A
CARB-Net: Camera-Assisted Radar-Based Network for Vulnerable Road User Detection	Wei-Yu Lee*, Martin Dimitrievski, David Van Hamme, Jan Aelterman, Ljubomir Jovanov, Wilfried Philips	PDF	N/A
SAH-SCI: Self-Supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging	Haijin Zeng, Yuxi Liu, Yongyong Chen*, Youfa Liu, Chong Peng, Jingyong Su	PDF	N/A
Minimalist Vision with Freeform Pixels	Jeremy Klotz*, Shree Nayar	PDF	N/A
All You Need is Your Voice: Emotional Face Representation with Audio Perspective for Emotional Talking Face Generation	Seongho Kim, Byung Cheol Song*	PDF	N/A
LatentEditor: Text Driven Local Editing of 3D Scenes	Umar Khalid*, Hasan Iqbal, Muhammad Tayyab, Md Nazmul Karim, Jing Hua, Chen Chen	PDF	N/A
Single-Photon 3D Imaging with Equi-Depth Photon Histograms	Kaustubh Sadekar*, David Maier, Atul Ingle	PDF	N/A
Asynchronous Bioplausible Neuron for Spiking Neural Networks for Event-Based Vision	Hussain Sajwani, Dimitrios Makris, Yahya Prof. Zweiri, Fariborz Baghaei Naeini, Sanket Mr Kachole*	PDF	N/A
Viewpoint textual inversion: discovering scene representations and 3D view control in 2D diffusion models	James Burgess*, Kuan-Chieh Wang, Serena Yeung-Levy	PDF	N/A
POET: Prompt Offset Tuning for Continual Human Action Adaptation	Prachi Garg*, Joseph K J, Vineeth N Balasubramanian, Necati Cihan Camgoz, Chengde Wan, Kenrick Kin, Weiguang Si, Shugao Ma, Fernando de la Torre	PDF	N/A
Domain Generalization of 3D Object Detection by Density-Resampling	Shuangzhi Li, Lei Ma, Xingyu Li*	PDF	N/A
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers	Chenglin Yang*, Siyuan Qiao, Yuan Cao, Yu Zhang, Tao Zhu, Alan Yuille, Jiahui Yu	PDF	N/A
MRSP: Learn Multi-Representations of Single Primitive for Compositional Zero-Shot Learning	Dongyao Jiang, Hui Chen, Haodong Jing, Yongqiang Ma, Nanning Zheng*	PDF	N/A
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs	Jeongkee Lim, Yusung Kim*	PDF	N/A
TrafficNight : An Aerial Multimodal Benchmark For Nighttime Vehicle Surveillance	Guoxing Zhang, Yiming Liu, xiaoyu yang, Chao Huang*, HUANG Hailong	PDF	N/A
Loc3Diff: Local Diffusion for 3D Human Head Synthesis and Editing	Yushi Lan, Feitong Tan, Qiangeng Xu, Di Qiu, Kyle Genova, Zeng Huang, Rohit Pandey, Sean Fanello, Thomas Funkhouser, Chen Change Loy, Yinda Zhang	PDF	N/A
Towards Open Domain Text-Driven Synthesis of Multi-Person Motions	Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, Mitchell K Hill*	PDF	N/A
Generative End-to-End Autonomous Driving	Wenzhao Zheng, Ruiqi Song, Xianda Guo*, Chenming Zhang, Long Chen	PDF	N/A
Learning to Distinguish Samples for Generalized Category Discovery	Fengxiang Yang, Nan Pu, Wenjing Li, Zhiming Luo, Shaozi Li, Nicu Sebe, Zhun Zhong	PDF	N/A
COM Kitchens: An Unedited Overhead-view Procedural Videos Dataset a Vision-Language Benchmark	Atsushi Hashimoto*, Koki Maeda, Tosho Hirasawa, Jun Harashima, Leszek Rybicki, Yusuke Fukasawa, Yoshitaka Ushiku	PDF	N/A
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning	Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu	PDF	N/A
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem	Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang*	PDF	N/A
WBP: Training-time Backdoor Attacks through Hardware-based Weight Bit Poisoning	Kunbei Cai, Zhenkai Zhang, Qian Lou, Fan Yao	PDF	N/A
"Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practice"	Xiayu Wang, Ke Ma, Ruiyun Zhong, Xinggang Wang, Yi Fang, Yang Xiao, Tian Xia*	PDF	N/A
Encapsulating Knowledge in One Prompt	Qi Li, Runpeng Yu, Xinchao Wang*	PDF	N/A
Cross-Input Certified Training for Universal Perturbations	Changming Xu*, Gagandeep Singh	PDF	N/A
Visual Relationship Transformation	Xiaoyu Xu*, Jiayan Qiu, Baosheng Yu, Zhou Wang	PDF	N/A
"Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data"	Yuxuan Li, Sarthak Kumar Maharana, Yunhui Guo*	PDF	N/A
Delving into Adversarial Robustness on Document Tampering Localization	Huiru Shao, Zhuang Qian, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang*	PDF	N/A
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing	Seongmin Hong, Jaehyeok Bae, Jongho Lee, Se Young Chun	PDF	N/A
Confidence-Based Iterative Generation for Real-World Image Super-Resolution	Jialun Peng, Xin Luo, Jingjing Fu, Dong Liu	PDF	N/A
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy	Tao Li*, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James Kwok	PDF	N/A
Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection	Kohei Yamashita*, Vincent Lepetit, Ko Nishino	PDF	N/A
Seeing Faces in Things: A Model and Dataset for Pareidolia	Mark T Hamilton*, Simon Stent, Vasha G DuTell, Anne Harrington, Jennifer E Corbett, Ruth Rosenholtz, William T. Freeman	PDF	N/A
Cocktail Universal Adversarial Attack on Deep Neural Networks	Shaoxin Li, Xiaofeng Liao, Xin Che, Xintong Li, Yong Zhang, Lingyang Chu	PDF	N/A
Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering	Antoine Guédon*, Vincent Lepetit	PDF	N/A
AMD: Automatic Multi-step Distillation of Large-scale Vision Models	Cheng Han, Qifan Wang, Sohail A Dianat, Majid Rabbani, Raghuveer Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu*	PDF	N/A
FairViT: Fair Vision Transformer via Adaptive Masking	Bowei Tian, Ruijie Du, Yanning Shen*	PDF	N/A
TrojVLM: Backdoor Attack Against Vision Language Models	Weimin Lyu*, Lu Pang, Tengfei Ma, Haibin Ling, Chao Chen	PDF	N/A
VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks	Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen	PDF	N/A
Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation	Donghyun Lee, Yejin Lee, Jae W. Lee, Hongil Yoon	PDF	N/A
HVCLIP: High-dimensional Vector in CLIP for Unsupervised Domain Adaptation	Noranart Vesdapunt*, Kah Kuen Fu, Yue Wu, Xu Zhang, Pradeep Natarajan	PDF	N/A
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data	Sneha Paul*, Zachary Patterson, Nizar Bouguila	PDF	N/A
PRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation	Renjie Lu, Jingke Meng*, WEI-SHI ZHENG	PDF	N/A
MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction	Seongju Lee, Junseok Lee, Yeonguk Yu, Taeri Kim, Kyoobin Lee*	PDF	N/A
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention	Zuyao Chen, Jinlin Wu, Zhen Lei, Zhaoxiang Zhang, Chang Wen Chen*	PDF	N/A
Few-shot NeRF by Adaptive Rendering Loss Regularization	Qingshan Xu*, Xuanyu Yi, Jianyao Xu, Wenbing Tao, Yew Soon Ong, Hanwang Zhang	PDF	N/A
Investigating Style Similarity in Diffusion Models	Gowthami Somepalli*, Anubhav Gupta, Kamal Gupta, Shramay Palta, Micah Goldblum, Jonas A. Geiping, Abhinav Shrivastava, Tom Goldstein	PDF	N/A
JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention	Brian Cheong, Jiachen Zhou, Steven L Waslander*	PDF	N/A
MagicMirror: Fast and High-Quality Avatar Generation with Constrained Search Space	Armand Comas, Di Qiu*, Menglei Chai, Marcel C. Bühler, Amit Raj, Ruiqi Gao, Qiangeng Xu, Mark J Matthews, Paulo Gotardo, Sergio Orts-Escolano, Thabo Beeler	PDF	N/A
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification	Suorong Yang, Furao Shen, Jian Zhao	PDF	N/A
Timestep-Aware Correction for Quantized Diffusion Models	Yuzhe Yao, Feng Tian, Jun Chen*, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang	PDF	N/A
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision	Ankit Vani*, Bac Nguyen, Samuel Lavoie, Ranjay Krishna, Aaron Courville	PDF	N/A
Towards compact reversible image representations for neural style transfer	Xiyao Liu, Siyu Yang, Jian Zhang, Gerald Schaefer, Jiya Li, Xunli FAN, Songtao Wu, Hui Fang	PDF	N/A
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors	Tao Lin, lijia Yu, Gaojie Jin, Renjue Li, Peng Wu, Lijun Zhang	PDF	N/A
GTMS: A Gradient-driven Tree-guided Mask-free Referring Image Segmentation Method	Haoxin Lv, Tianxiong Zhong, Sanyuan Zhao*	PDF	N/A
Long-term Temporal Context Gathering for Neural Video Compression	Linfeng Qi, Zhaoyang Jia, Jiahao Li, Bin Li, Houqiang Li, Yan Lu*	PDF	N/A
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving	YIBO LIU*, Zheyuan Yang, Guile Wu, Yuan Ren, Kejian Lin, Liu Bingbing, Yang Liu, JINJUN SHAN	PDF	N/A
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation	Yunfei Xie*, Cihang Xie, Alan Yuille, Jieru Mei	PDF	N/A
Leveraging Text Localization for Scene Text Removal via Text-aware Masked Image Modeling	Zixiao Wang*, Hongtao Xie, YuXin Wang, Yadong Qu, Fengjun Guo, Pengwei Liu	PDF	N/A
Unmasking Bias in Diffusion Model Training	Hu Yu, Li Shen, Jie Huang, Hongsheng Li, Feng Zhao*	PDF	N/A
Multimodal Label Relevance Ranking via Reinforcement Learning	Taian Guo, Taolin Zhang, Haoqian Wu, Hanjun Li, Ruizhi Qiao*, Xing Sun	PDF	N/A
Animate Your Motion: Turning Still Images into Dynamic Videos	Mingxiao Li, Bo Wan, Sien Moens, Tinne Tuytelaars	PDF	N/A
Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis	Zipeng Qi, Guoxi Huang*, Chenyang Liu, Fei Ye	PDF	N/A
CIC-BART-SSA: : Controllable Image Captioning with Structured Semantic Augmentation	Kalliopi Basioti, Mohamed A Abdelsalam, Federico Fancellu, Vladimir Pavlovic, Afsaneh Fazly*	PDF	N/A
A Simple Background Augmentation Method for Object Detection with Diffusion Model	Yuhang Li, Xin Dong, Chen Chen, Weiming Zhuang, Lingjuan Lyu*	PDF	N/A
Echoes of the Past: Boosting Long-tail Recognition via Reflective Learning	Qihao Zhao, Yalun Dai, Shen Lin, Wei Hu, Fan Zhang*, Jun Liu	PDF	N/A
"BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events"	Yijin Li, Yichen Shen, Zhaoyang Huang, Shuo Chen, Weikang Bian, Xiaoyu Shi, Fu-Yun Wang, Keqiang Sun, Hujun Bao, Zhaopeng Cui, Guofeng Zhang, Hongsheng Li	PDF	N/A
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization	Qiyu Chen, Huiyuan Luo, Chengkan Lv*, Zhengtao Zhang	PDF	N/A
Deep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation	Chenhao Li*, Trung Thanh Ngo, Hajime Nagahara	PDF	N/A
Rethinking Features-Fused-Pyramid-Neck for Object Detection	Hulin Li*	PDF	N/A
Spatial-Temporal Multi-level Association for Video Object Segmentation	Deshui Miao, Xin Li, Zhenyu He*, Huchuan Lu, Ming-Hsuan Yang	PDF	N/A
Sparse Refinement for Efficient High-Resolution Semantic Segmentation	Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han*	PDF	N/A
Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion	Sanghyun Kim, Seohyeon Jung, Balhae Kim, Moonseok Choi, Jinwoo Shin, Juho Lee	PDF	N/A
An Explainable Vision Question Answer Model via Diffusion Chain-of-Thought	Chunhao LU, Qiang Lu*, Jake Luo	PDF	N/A
RaFE: Generative Radiance Fields Restoration	Zhongkai Wu, Ziyu Wan, Jing Zhang*, Jing Liao, Dong Xu	PDF	N/A
UniProcessor: A Text-induced Unified Low-level Image Processor	Huiyu Duan*, Xiongkuo Min, Sijing Wu, Wei Shen, Guangtao Zhai	PDF	N/A
Fast Sprite Decomposition from Animated Graphics	Tomoyuki Suzuki*, Kotaro Kikuchi, Kota Yamaguchi	PDF	N/A
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection	Liren He, Zhengkai Jiang, Jinlong Peng, Wenbing Zhu, Liang Liu, Qiangang Du, Xiaobin Hu, Mingmin Chi, Yabiao Wang, Chengjie Wang*	PDF	N/A
IRSAM: Advancing Segment Anything Model for Infrared Small Target Detection	Mingjin Zhang, Yuchun Wang, Jie Guo, Yunsong Li, Xinbo Gao, Jing Zhang	PDF	N/A
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation	Zhenyu Li*, Shariq Farooq Bhat, Peter Wonka	PDF	N/A
A Geometric Distortion Immunized Deep Watermarking Framework with Robustness Generalizability	Linfeng Ma, Han Fang, Tianyi Wei, Zijin Yang, Zehua Ma, Weiming Zhang, Nenghai Yu	PDF	N/A
Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translation	Yuhwan Jeong, Hoonhee Cho, Kuk-Jin Yoon*	PDF	N/A
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs	Akshat Ramachandran, Souvik Kundu, Tushar Krishna*	PDF	N/A
A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures	Tahmina Khanam, Mohammed Bennamoun, Guan Wang, Guanjin Wang, Ferdous Sohel, Farid Boussaid, Anuj Srivastava, Hamid Laga*	PDF	N/A
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation	Yushun Tang, Shuoshuo Chen, Zhihe Lu, Xinchao Wang, Zhihai He*	PDF	N/A
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design	Gen Li, zhihao shu, Jie Ji, Minghai Qin, Fatemeh Afghah, Wei Niu, Xiaolong Ma	PDF	N/A
The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers	Seungwoo Son, Jegwang Ryu, Namhoon Lee, Jaeho Lee	PDF	N/A
Training A Small Emotional Vision Language Model for Visual Art Comprehension	Jing Zhang, Liang Zheng, Meng Wang, Dan Guo	PDF	N/A
UGG: Unified Generative Grasping	Jiaxin Lu, Hao Kang, Haoxiang Li, Bo Liu, Yiding Yang, Qixing Huang, Gang Hua*	PDF	N/A
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation	Chenliang Zhou*, Fangcheng Zhong, Param Hanji, Zhilin Guo, Kyle Thomas Fogarty, Alejandro Sztrajman, Hongyun Gao, A. Cengiz Oztireli	PDF	N/A
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt	Bin-Bin Gao*	PDF	N/A
GAMMA-FACE: GAussian Mixture Models Amend Diffusion Models for Bias Mitigation in Face Images	Basudha Pal, Arunkumar Kannan, Ram Prabhakar Kathirvel, Alice O'Toole, Rama Chellappa	PDF	N/A
Reinforcement Learning Friendly Vision-Language Model for Minecraft	Haobin Jiang, Junpeng Yue, Hao Luo, Ziluo Ding, Zongqing Lu*	PDF	N/A
Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation	Seonghoon Yu, Paul Hongsuck Seo, Jeany Son	PDF	N/A
Training-free Composite Scene Generation for Layout-to-Image Synthesis	Jiaqi Liu*, Tao Huang, Chang Xu	PDF	N/A
Robustness Preserving Fine-tuning using Neuron Importance	Guangrui Li, Rahul Duggal*, Aaditya Singh, Kaustav Kundu, Bing Shuai, Jonathan Wu	PDF	N/A
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation	Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang*	PDF	N/A
PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation	jian ma, Chen Chen, Qingsong Xie, Haonan Lu	PDF	N/A
Similarity of Neural Architectures using Adversarial Attack Transferability	Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun*, Jong-Seok Lee	PDF	N/A
Dual-Rain: Video Rain Removal using Assertive and Gentle Teachers	Tingting Chen*, Beibei Lin, Yeying Jin, Wending Yan, WEI YE, Yuan Yuan, Robby T. Tan	PDF	N/A
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation	Ning Gao, Sanping Zhou*, Le Wang, Nanning Zheng	PDF	N/A
OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web	Raghav Kapoor, Yash Parag Butala, Melisa A Russak, Jing Yu Koh, Kiran Kamble, Waseem AlShikh, Ruslan Salakhutdinov	PDF	N/A
AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering	Xiuyuan Chen, Yuan Lin, Yuchen Zhang, Weiran Huang*	PDF	N/A
Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models	Jinrui Zhang, Teng Wang, Haigang Zhang, Ping Lu, Feng Zheng*	PDF	N/A
Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks	Jiawei Wu, Zhi Jin*	PDF	N/A
Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation	Duy Tho Le, Hengcan Shi, Jianfei Cai, Hamid Rezatofighi	PDF	N/A
MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos	Yushuo Chen*, Zerong Zheng, Zhe Li, Chao Xu, Yebin Liu	PDF	N/A
Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement	Hao Xu, Xi Zhang, Xiaolin Wu	PDF	N/A
Scene-Conditional 3D Object Stylization and Composition	Jinghao Zhou*, Tomas Jakab, Philip Torr, Christian Rupprecht	PDF	N/A
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning	Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang	PDF	N/A
Revisit Anything: Visual Place Recognition via Image Segment Retrieval	Kartik Garg, Sai Shubodh, Shishir N Y Kolathaya, Madhava Krishna, Sourav Garg*	PDF	N/A
EcoMatcher: Efficient Clustering Oriented Matcher for Detector-free Image Matching	Peiqi Chen, Lei Yu, Yi Wan, Yongjun Zhang*, Jian Wang, Liheng Zhong, Jingdong Chen, Ming Yang	PDF	N/A
DGD: Dynamic 3D Gaussians Distillation	Isaac Labe, Noam Issachar, Itai Lang, Sagie Benaim*	PDF	N/A
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation	Jaehyeong Jeon*, Kibum Kim, Kanghoon Yoon, Chanyoung Park	PDF	N/A
DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation	Xiaobin Hu, Xu Peng, Donghao Luo, Xiaozhong Ji, Jinlong Peng, ZhengKai Jiang, Jiangning Zhang, Taisong Jin, Chengjie Wang, Rongrong Ji	PDF	N/A
Self-Guided Generation of Minority Samples Using Diffusion Models	Soobin Um, Jong Chul Ye*	PDF	N/A
DEVIAS: Learning Disentangled Video Representations of Action and Scene	Kyungho Bae, Youngrae Kim, Geo Ahn, Jinwoo Choi*	PDF	N/A
AD3: Introducing a score for Anomaly Detection Dataset Difficulty assessment using VIADUCT dataset	Jan D Lehr*, Jan H Philipps, Alik Sargsyan, Martin Pape, Jörg Krüger	PDF	N/A
RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting	Qi WANG*, Ruijie Lu, Xudong XU, Jingbo Wang, Michael Yu Wang, Bo Dai, Gang Zeng, Dan Xu	PDF	N/A
Class-Agnostic Object Counting with Text-to-Image Diffusion Model	Xiaofei Hui, Qian Wu, Hossein Rahmani, Jun Liu*	PDF	N/A
Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks	Sehwan Choi*, Jun Won Choi, Jungho Kim, Hongjae Shin	PDF	N/A
SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction	Yuliang Guo*, Abhinav Kumar, Cheng Zhao, Ruoyu Wang, Xinyu Huang, Liu Ren	PDF	N/A
Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme	Jintae Kim, Seungwon Yang, Seong-Gyun Jeong, Chang-Su Kim*	PDF	N/A
Pyramid Diffusion for Fine 3D Large Scene Generation	Yuheng Liu, Xinke Li, Xueting Li, Lu Qi, Chongshou Li, Ming-Hsuan Yang	PDF	N/A
ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model	Wenyu Li*, Binghui Chen, Yifeng Geng, Xuansong Xie, Wangmeng Zuo	PDF	N/A
A Watermark-Conditioned Diffusion Model for IP Protection	Rui Min, Sen Li, Hongyang Chen, Minhao Cheng	PDF	N/A
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation	Seongsu Ha, Chaeyun Kim, Donghwa Kim, Junho Lee, Sangho Lee, Joonseok Lee*	PDF	N/A
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning	Bac Nguyen*, Stefan Uhlich, Fabien Cardinaux, Lukas Mauch, Marzieh Edraki, Aaron Courville	PDF	N/A
FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion	Xiaofeng Wu, Velibor Bojkovic, Bin Gu, Kun Suo, Kai Zou	PDF	N/A
Improving Vision and Language Concepts Understanding with Multimodal Counterfactual Samples	Chengen Lai, Shengli Song*, Sitong Yan, Guangneng Hu	PDF	N/A
Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation	Xu Zheng, Yuanhuiyi Lyu, jiazhou zhou, Lin Wang	PDF	N/A
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation	Haonan Wang, Jie Liu*, Jie Tang, Gangshan Wu, Bo Xu, Yanbing Chou, Yong Wang	PDF	N/A
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations	Ofir Shifman*, Yair Weiss	PDF	N/A
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation	Soojin Jang, JungMin Yun, JuneHyoung Kwon, Eunju Lee, YoungBin Kim*	PDF	N/A
Rethinking Normalization Layers for Domain Generalizable Person Re-identification	Ren Nie, Jin Ding, Xue Zhou*, Xi Li	PDF	N/A
Generalizing to Unseen Domains via Text-guided Augmentation	Daiqing Qi*, Handong Zhao, Aidong Zhang, Sheng Li	PDF	N/A
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation	Zhen Qu, Xian Tao*, Mukesh Prasad, Fei Shen, Zhengtao Zhang, Xinyi Gong, Guiguang Ding	PDF	N/A
Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models	Juntu Zhao, Junyu Deng, Yixin Ye, Chongxuan Li, Zhijie Deng, Dequan Wang	PDF	N/A
Crowd-SAM:SAM as a smart annotator for object detection in crowded scenes	Zhi Cai, Yingjie Gao, Yaoyan Zheng, Nan Zhou, Di Huang*	PDF	N/A
Zero-shot Text-guided Infinite Image Synthesis with LLM guidance	Soyeong Kwon, Taegyeong Lee, Taehwan Kim*	PDF	N/A
Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution	Zhiheng Li, Muheng Li, Jixuan Fan, Lei Chen*, Yansong Tang, Jiwen Lu, Jie Zhou	PDF	N/A
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model	Yang Jin, Lei Zhang, Shi Yan, Bin Fan, Binglu Wang*	PDF	N/A
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization	Xi Yang, Songsong Duan*, Nannan Wang, Xinbo Gao	PDF	N/A
Adaptive Multi-head Contrastive Learning	Lei Wang*, Piotr Koniusz, Tom Gedeon, Liang Zheng	PDF	N/A
Rotated Orthographic Projection for Self-Supervised 3D Human Pose Estimation	YAO YAO, Yixuan Pan, Wenjun Shi, Dongchen Zhu, Lei Wang, Jiamao Li*	PDF	N/A
Easing 3D Pattern Reasoning with Side-view Features for Semantic Scene Completion	Linxi Huan, Mingyue Dong, Linwei Yue, Shuhan Shen, Xianwei Zheng*	PDF	N/A
DSMix: Distortion-Induced Saliency Map Based Pre-training for No-Reference Image Quality Assessment	Jinsong Shi, Pan Gao*, Xiaojiang Peng, Jie Qin	PDF	N/A
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets	PENG LIAO, Xilu Wang, Yaochu Jin, Wenli Du	PDF	N/A
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression	Animesh Sinha*, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy L Bearman, Dhruv Mahajan	PDF	N/A
Adaptive Annealing for Robust Averaging	Sidhartha Chitturi*, Venu Madhav Govindu	PDF	N/A
GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity	Shuo Cao, Yihao Liu, Wenlong Zhang, Yu Qiao, Chao Dong*	PDF	N/A
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery	Pei Zhou, Yanchao Yang*	PDF	N/A
High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse Rendering	Xin Ming, Jiawei Li, Jingwang Ling, Libo Zhang, Feng Xu*	PDF	N/A
Disentangling Masked Autoencoders for Unsupervised Domain Generalization	An Zhang*, Han Wang, Xiang Wang, Tat-Seng Chua	PDF	N/A
Early Anticipation of Driving Maneuvers	Abdul Wasi Lone, Shankar Gangisetty*, Shyam Nandan Rai, C. V. Jawahar	PDF	N/A
Bottom-Up Domain Prompt Tuning for Generalized Face Anti-Spoofing	Siqi Liu*, Qirui Wang, Pong C. Yuen	PDF	N/A
SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization	Yiyang Chen, Siyan Dong, Xulong Wang, Lulu Cai, Youyi Zheng, Yanchao Yang	PDF	N/A
On the Evaluation Consistency of Attribution-based Explanations	Jiarui Duan, Haoling Li, Haofei Zhang, Hao Jiang, Mengqi Xue, Li Sun, Mingli Song, Jie Song*	PDF	N/A
Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation	Hao Fang, Peng Wu, Yawei Li, Xinxin Zhang, Xiankai Lu*	PDF	N/A
InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction	Xulong Wang, Siyan Dong, Youyi Zheng, Yanchao Yang	PDF	N/A
DreamReward: Aligning Human Preference in Text-to-3D Generation	Junliang Ye, Fangfu Liu, Qixiu Li, Zhengyi Wang, Yikai Wang, Xinzhou Wang, Yueqi Duan, Jun Zhu	PDF	N/A
Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos	Changan Chen*, Puyuan Peng, Ami Baid, Zihui Xue, Wei-Ning Hsu, David Harwath, Kristen Grauman	PDF	N/A
Frontier-enhanced Topological Memory with Improved Exploration Awareness for Embodied Visual Navigation	Xinru Cui, Qiming Liu, Zhe Liu, Hesheng Wang*	PDF	N/A
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders	Baijiong Lin*, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Yingcong Chen	PDF	N/A
VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models	Shicheng Li, Lei Li, Yi Liu, Shuhuai Ren, Yuanxin Liu, Rundong Gao, Xu Sun*, Lu Hou	PDF	N/A
Learning a Dynamic Privacy-preserving Camera Robust to Inversion Attacks	Jiacheng Cheng*, Xiang Dai, Jia Wan, Nick Antipa, Nuno Vasconcelos	PDF	N/A
CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches	Sifan Wu, Amir Hosein Khasahmadi, Mor Katz, Pradeep Kumar Jayaraman, Yewen Pu, Karl D.D. Willis, Bang Liu	PDF	N/A
Towards Image Ambient Lighting Normalization	Florin-Alexandru Vasluianu, Tim Seizinger, Zongwei WU, Rakesh Ranjan, Radu Timofte	PDF	N/A
FedHide: Federated Learning by Hiding in the Neighbors	Hyunsin Park*, Sungrack Yun	PDF	N/A
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients	Dohyung Kim, Junghyup Lee, Jeimin Jeon, JAEHYEON MOON, Bumsub Ham*	PDF	N/A
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery	Sarah Rastegar*, Mohammadreza Salehi, Yuki M Asano, Hazel Doughty, Cees Snoek	PDF	N/A
Self-Cooperation Knowledge Distillation for Novel Class Discovery	Yuzheng Wang, Zhaoyu Chen, Dingkang Yang, Yunquan Sun, Lizhe Qi	PDF	N/A
EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding	jiazhou zhou*, Xu Zheng, Yuanhuiyi Lyu, Lin Wang	PDF	N/A
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection	Hang Yao, Ming Liu*, Zhicun Yin, Zifei Yan, Xiaopeng Hong, Wangmeng Zuo	PDF	N/A
MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks	Elad Hirsch*, Gefen Dawidowicz, Ayellet Tal	PDF	N/A
Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?	Rosario Leonardi*, Antonino Furnari, Francesco Ragusa, Giovanni Maria Farinella	PDF	N/A
"PoseEmbroider: Towards a 3D, Visual, Semantic-aware Human Pose Representation"	Ginger Delmas*, Philippe Weinzaepfel, Francesc Moreno-Noguer, Gregory Rogez	PDF	N/A
A Comparative Study of Image Restoration Networks for General Backbone Network Design	Xiangyu Chen, Zheyuan Li, Yuandong Pu, Yihao Liu, Jiantao Zhou, Yu Qiao, Chao Dong*	PDF	N/A
Learned Image Enhancement via Color Naming	David Serrano-Lozano*, Luis Herranz, Michael S Brown, Javier Vazquez-Corral	PDF	N/A
Synthesizing Time-varying BRDFs via Latent Space	Takuto Narumoto*, Hiroaki Santo, Fumio Okura	PDF	N/A
HoloADMM: High-Quality Holographic Complex Field Recovery	Mazen Mel*, Paul Springer, Pietro Zanuttigh, Haitao Zhou, Alexander Gatto	PDF	N/A
Fundamental Matrix Estimation Using Relative Depths	Yaqing Ding*, Václav Vávra, Snehal Bhayani, Qianliang Wu, Jian Yang, Zuzana Kukelova	PDF	N/A
Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion	Otto Seiskari*, Jerry Ylilammi, Valtteri Kaatrasalo, Pekka Rantalankila, Matias Turkulainen, Juho Kannala, Esa Rahtu, Arno Solin	PDF	N/A
MTaDCS: Moving Trace and Feature Density-based Confidence Sample Selection under Label Noise	Qingzheng Huang, Xilin He, Xiaole Xian, Qinliang Lin, Weicheng Xie*, Siyang Song, Linlin Shen, Zitong Yu	PDF	N/A
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis	Brian Kostadinov Shalon Isaac-Medina, Yona Falinie Abdul Gaus, Neelanjan Bhowmik, Toby P Breckon	PDF	N/A
GroundUp: Rapid Sketch-Based 3D City Massing	Gizem Esra Unlu*, Mohamed Sayed, Yulia Gryaditskaya, Gabriel Brostow	PDF	N/A
Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing	Vadim Titov, Madina Khalmatova, Alexandra Ivanova, Dmitry P Vetrov, Aibek Alanov	PDF	N/A
DataDream: Few-shot Guided Dataset Generation	Jae Myung Kim*, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata	PDF	N/A
LPViT: Low-Power Semi-structured Pruning for Vision Transformers	Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin	PDF	N/A
CipherDM: Secure Three-Party Inference for Diffusion Model Sampling	Xin Zhao, Xiaojun Chen*, Xudong Chen, He Li, Tingyu Fan, Zhendong Zhao	PDF	N/A
Weighted Ensemble Models Are Strong Continual Learners	Imad Eddine MAROUF*, Subhankar Roy, Enzo Tartaglione, Stéphane Lathuilière	PDF	N/A
GGRt: Towards Generalizable 3D Gaussians without Pose Priors in Real-Time	Hao Li, Yuanyuan Gao, Dingwen Zhang*, Chenming Wu, YALUN DAI, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Junwei Han	PDF	N/A
A Unified Image Compression Method for Human Perception and Multiple Vision Tasks	Sha Guo, Lin Sui, Chen-Lin Zhang, Zhuo Chen, Wenhan Yang, Lingyu Duan*	PDF	N/A
UniVoxel: Fast Inverse Rendering by Unified Voxelization of Scene Representation	Shuang Wu, Songlin Tang, Guangming Lu, Jianzhuang Liu, Wenjie Pei*	PDF	N/A
Audio-visual Generalized Zero-shot Learning the Easy Way	Shentong Mo*, Pedro Morgado	PDF	N/A
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition	Xiao Li*, Yining Liu, Na Dong, Sitian Qin, Xiaolin Hu	PDF	N/A
Learning Equilibrium Transformation for Gamut Expansion and Color Restoration	Jun Xiao*, Changjian Shui, Zhi-Song Liu, Qian Ye, Kin-Man Lam	PDF	N/A
Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition	Yurong Zhang*, Honghao Chen, Zhang Xinyu, Xiangxiang Chu, Li Song	PDF	N/A
Physics-informed Knowledge Transfer for Underwater Monocular Depth Estimation	Jinghe Yang*, Mingming Gong, Ye Pu	PDF	N/A
Robust Nearest Neighbors for Source-Free Domain Adaptation under Class Distribution Shift	Antonio Tejero-de-Pablos*, Riku Togashi, Mayu Otani, Shin'ichi Satoh	PDF	N/A
Chains of Diffusion Models	Yanheng Wei, Lianghua Huang, Zhi-Fan Wu, Wei Wang, Yu Liu, Mingda Jia, Shuailei Ma	PDF	N/A
Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models	Phuong Hoang Dam, Jihoon Jeong, Anh T Tran, Daeyoung Kim	PDF	N/A
Feature Diversification and Adaptation for Federated Domain Generalization	Seunghan Yang*, Seokeon Choi, Hyunsin Park, Sungha Choi, Simyung Chang, Sungrack Yun	PDF	N/A
Grounding Image Matching in 3D with MASt3R	Vincent Leroy*, Yohann Cabon, Jerome Revaud	PDF	N/A
TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling	Jun Li*, Zedong Zhang, Jian Yang	PDF	N/A
RoDUS: Robust Decomposition of Static and Dynamic Elements in Urban Scenes	Thang-Anh-Quan Nguyen, Luis G Roldao Jimenez, Nathan Piasco, Moussab Bennehar, Dzmitry Tsishkou*	PDF	N/A
RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection	Ming Chang, Xishan Zhang*, Rui Zhang, Zhipeng Zhao, Guanhua He, Shaoli Liu	PDF	N/A
Efficient Bias Mitigation Without Privileged Information	Mateo Espinosa Zarlenga*, Swami Sankaranarayanan, Jerone T. A. Andrews, Zohreh Shams, Mateja Jamnik, Alice Xiang	PDF	N/A
MC-PanDA: Mask Confidence for Panoptic Domain Adaptation	Ivan Martinović*, Josip Šarić, Siniša Šegvić	PDF	N/A
Learning Neural Deformation Representation for 4D Dynamic Shape Generation	Gyojin Han, Jiwan Hur, Jaehyun Choi, Junmo Kim	PDF	N/A
Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge	Hyejin Park, Dongbo Min*	PDF	N/A
Decomposition Betters Tracking Everything Everywhere	Rui Li, Dong Liu*	PDF	N/A
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation	Ruizi Han, Jinglei Tang	PDF	N/A
Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs	Camillo Quattrocchi*, Antonino Furnari, Daniele Di Mauro, Mario Valerio Giuffrida, Giovanni Maria Farinella	PDF	N/A
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models	Yabin Zhang, Wenjie Zhu, Chenhang He, Lei Zhang	PDF	N/A
Domain Shifting: A Generalized Solution for Heterogeneous Cross-Modality Person Re-Identification	Yan Jiang, Xu Cheng*, Hao Yu, Xingyu Liu, Haoyu Chen, Guoying Zhao	PDF	N/A
Self-Supervised Video Desmoking for Laparoscopic Surgery	Renlong Wu, Zhilu Zhang, Shuohao Zhang, Longfei Gou, Haobin Chen, Lei Zhang, Hao Chen, Wangmeng Zuo	PDF	N/A
Removing Rows and Columns of Tokens in Vision Transformer enables Faster Dense Prediction without Retraining	Diwei Su, cheng fei, Jianxu Luo*	PDF	N/A
Continuity Preserving Online CenterLine Graph Learning	Yunhui Han, Kun Yu, Zhiwei Li*	PDF	N/A
Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping	Minseong Park, Suhan Woo, Euntai Kim*	PDF	N/A
MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflections	Jiayue Liu, Xiao Tang, Freeman Cheng, Zihao Yang, Zhihao Li, Jianzhuang Liu, Yi Huang, Jiaqi Lin, Shiyong Liu, Xiaofei Wu, Songcen Xu, Chun Yuan	PDF	N/A
Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection	Christos Koutlis*, Symeon Papadopoulos	PDF	N/A
Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data	Yanmeng Yao, Xiaohan Zhao, Bin Gu*	PDF	N/A
HSR: Holistic 3D Human-Scene Reconstruction from Monocular Videos	Lixin Xue*, Chen Guo, Chengwei Zheng, Fangjinhua Wang, Tianjian Jiang, Hsuan-I Ho, Manuel Kaufmann, Jie Song, Otmar Hilliges	PDF	N/A
Online Video Quality Enhancement with Spatial-Temporal Look-up Tables	Zefan Qu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Cairong Zhao	PDF	N/A
PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal Model	Amrin Kareem, Jean Lahoud, Hisham Cholakkal	PDF	N/A
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance	Donghoon Ahn, Hyoungwon Cho, Jaewon Min, Jungwoo Kim, Wooseok Jang, SeonHwa Kim, Hyun Hee Park, Kyong Hwan Jin, Seungryong Kim	PDF	N/A
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation	Zhaoyang Li*, Yuan Wang, Wangkai Li, Rui Sun, Tianzhu Zhang	PDF	N/A
Think before Placement: Common Sense Enhanced Transformer for Object Placement	Yaxuan Qin, Jiayu Xu, Ruiping Wang*, Xilin Chen	PDF	N/A
Oulu Remote-photoplethysmography Physical Domain Attacks Database (ORPDAD)	Marko Savic, Guoying Zhao*	PDF	N/A
Leveraging Imperfect Restoration for Data Availability Attack	YI HUANG, Jeremy Styborski, Mingzhi Lyu, Fan Wang, Wai-Kin Adams Kong*	PDF	N/A
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance	Xiaoxu Xu, Yitian Yuan, Jinlong Li, Qiudan Zhang, Zequn Jie, Lin Ma, Hao Tang, Nicu Sebe, Xu Wang*	PDF	N/A
Open-set Domain Adaptation via Joint Error based Multi-class Positive and Unlabeled Learning	Dexuan Zhang*, Thomas Westfechtel, Tatsuya Harada	PDF	N/A
DoubleTake: Geometry Guided Depth Estimation	Mohamed Sayed*, Filippo Aleotti, Jamie Watson, Zawar Qureshi, Guillermo Garcia-Hernando, Gabriel Brostow, Sara Vicente, Michael Firman	PDF	N/A
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL	Fangwei Zhong*, Kui Wu, Hai Ci, Chu-ran Wang, Hao Chen	PDF	N/A
Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting	Yunzhi Yan, Haotong Lin, Chenxu Zhou, Weijie Wang, Haiyang Sun, Kun Zhan, Xianpeng Lang, Xiaowei Zhou, Sida Peng	PDF	N/A
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models	Yifan Li*, hangyu guo, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen	PDF	N/A
Edge-Guided Fusion and Motion Augmentation for Event-Image Stereo	Fengan Zhao, Qianang Zhou, Junlin Xiong	PDF	N/A
MetaWeather: Few-Shot Weather-Degraded Image Restoration	Youngrae Kim, Younggeol Cho, Thanh-Tung Nguyen, Seunghoon Hong, Dongman Lee	PDF	N/A
CPT-VR: Improving Surface Rendering via Closest Point Transform with View-Reflection Appearance	Zhipeng Hu, Yongqiang Zhang, Chen Liu, Lincheng Li, Sida Peng, Xiaowei Zhou, Changjie Fan, Xin Yu	PDF	N/A
"Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition"	Sergio Izquierdo, Javier Civera	PDF	N/A
HiFi-123: Towards High-fidelity One Image to 3D Content Generation	Wangbo Yu*, Li Yuan, Yan-Pei Cao, Xiangjun Gao, Xiaoyu Li, Wenbo Hu, Long Quan, Ying Shan, Yonghong Tian	PDF	N/A
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View	Jianan Fan, Dongnan Liu, Canran Li, Hang Chang, Heng Huang, Filip Braet, Mei Chen, Weidong Cai	PDF	N/A
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation	Amin Parchami-Araghi*, Moritz Böhle, Sukrut Rao, Bernt Schiele	PDF	N/A
Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic Segmentation	Juncheng Ma, Peiwen Sun, Yaoting Wang, Di Hu*	PDF	N/A
FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models	Junhyuk So, Jungwon Lee, Eunhyeok Park*	PDF	N/A
Möbius Transform for Mitigating Perspective Distortions in Representation Learning	Prakash Chandra Chhipa*, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, Mubarak Shah	PDF	N/A
TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection	Xixi Liu*, Christopher Zach	PDF	N/A
CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction	Zhangchen Ye, Tao Jiang, Chenfeng Xu, Yiming Li, Hang Zhao*	PDF	N/A
SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments	Niklas Gard*, Anna Hilsmann, Peter Eisert	PDF	N/A
Continual Learning and Unknown Object Discovery in 3D Scenes via Self-Distillation	Mohamed El Amine Boudjoghra*, Jean Lahoud, Salman Khan, Hisham Cholakkal, Rao M Anwer, Fahad Shahbaz Khan	PDF	N/A
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting	Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha, Nikita Araslanov, Daniel Cremers*	PDF	N/A
Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking	Lorenzo Vaquero*, Yihong Xu, Xavier Alameda-Pineda, Victor M. Brea, Manuel Mucientes	PDF	N/A
Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection	Kangqi Ma*, Hao Dong, Yadong Mu	PDF	N/A
Region-Native Visual Tokenization	Mengyu Wang*, Yuyao Huang, Henghui Ding, Xinlong Wang, Tiejun Huang, Yao Zhao, Yunchao Wei, Shuicheng Yan	PDF	N/A
SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearization	Mae Younes*, Amine Ouasfi, Adnane Boukhayma	PDF	N/A
Sketch2Vox: Learning 3D Reconstruction from a Single Monocular Sketch Image	Fei Wang*	PDF	N/A
DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing	Minghao Chen*, Iro Laina, Andrea Vedaldi	PDF	N/A
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization	Jiafeng Mao*, Xueting Wang, Kiyoharu Aizawa	PDF	N/A
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond	Silvio Galesso, Philipp Schröppel, Hssan Driss, Thomas Brox	PDF	N/A
Rethinking Directional Parameterization in Neural Implicit Surface Reconstruction	Zijie Jiang, Tianhan Xu, Hiroharu Kato	PDF	N/A
A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment	Tianhe Wu, Kede Ma, Jie Liang, Yujiu Yang, Lei Zhang	PDF	N/A
Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment	Wulian Yun, Mengshi Qi, Fei Peng, Huadong Ma*	PDF	N/A
Efficient Neural Video Representation with Temporally Coherent Modulation	Seungjun Shin, Suji Kim, Dokwan Oh	PDF	N/A
Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes	Yaoting Wang, Peiwen Sun, Dongzhan Zhou, Guangyao Li, Honggang Zhang, Di Hu*	PDF	N/A
DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling	Haoran Li, Haolin Shi, Wenli Zhang, Wenjun Wu, Yong Liao, Lin Wang, Lik-Hang Lee, Peng Yuan Zhou	PDF	N/A
Multi-modal Crowd Counting via a Broker Modality	Haoliang Meng, Xiaopeng Hong*, Chenhao Wang, Miao Shang, Wangmeng Zuo	PDF	N/A
FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation	tianyu zhang, Guocheng Qian, Jin Xie*, Jian Yang	PDF	N/A
Made to Order: Discovering monotonic temporal changes via self-supervised video ordering	Charig Yang*, Weidi Xie, Andrew Zisserman	PDF	N/A
PARE-Net: Position-Aware Rotation-Equivariant Networks for Robust Point Cloud Registration	Runzhao Yao, Shaoyi Du*, Wenting Cui, Canhui Tang, Chengwu Yang	PDF	N/A
Open-Vocabulary RGB-Thermal Semantic Segmentation	GuoQiang Zhao, JunJie Huang, Xiaoyun Yan*, Zhaojing Wang, Junwei Tang, Yangjun Ou, Xinrong Hu, Tao Peng	PDF	N/A
MeshVPR: Citywide Visual Place Recognition Using 3D Meshes	Gabriele Berton*, Lorenz Junglas, Riccardo Zaccone, Thomas Pollok, Barbara Caputo, Carlo Masone	PDF	N/A
Can Textual Semantics Mitigate Sounding Object Segmentation Preference?	Yaoting Wang, Peiwen Sun, Yuanchao Li, Honggang Zhang, Di Hu*	PDF	N/A
Concise Plane Arrangements for Low-Poly Surface and Volume Modelling	Raphael Sulzer, Florent Lafarge*	PDF	N/A
KeypointDETR: An End-to-End 3D Keypoint Detector	Hairong Jin, Yuefan Shen, Jianwen Lou, Kun Zhou, Youyi Zheng*	PDF	N/A
ViPer: Visual Personalization of Generative Models via Individual Preference Learning	Sogand Salehi*, Mahdi Shafiei, Roman Bachmann, Teresa Yeo, Amir Zamir	PDF	N/A
MLPHand: Real Time Multi-View 3D Hand Reconstruction via MLP Modeling	Jian Yang, Jiakun Li, Guoming Li, Huaiyu Wu, Zhen Shen, Zhaoxin Fan*	PDF	N/A
uCAP: An Unsupervised Prompting Method for Vision-Language Models	A. Tuan Nguyen*, Kai Sheng Tai, Bor-Chun Chen, Satya Narayan Shukla, Hanchao Yu, Philip Torr, Tai-Peng Tian, Ser-Nam Lim	PDF	N/A
LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model	Dilxat Muhtar, Zhenshi Li, Feng Gu, Xueliang Zhang*, Pengfeng Xiao	PDF	N/A
How Far Can a 1-Pixel Camera Go? Solving Vision Tasks using Photoreceptors and Computationally Designed Visual Morphology	Andrei Atanov*, Rishubh Singh, Jiawei Fu, Isabella Yu, Andrew Spielberg, Amir Zamir	PDF	N/A
MONTAGE: Monitoring Training for Attribution of Generative Diffusion Models	Jonathan Brokman*, Omer Hofman, Roman Vainshtein, Amit Giloni, Toshiya Shimizu, Inderjeet Singh, Oren Rachmil, Alon Zolfi, Asaf Shabtai, Yuki Unno, Hisashi Kojima	PDF	N/A
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations	Kilichbek Haydarov*, Xiaoqian Shen, Avinash Madasu, Mahmoud Salem, Li-Jia Li, Gamaleldin F Elsayed, Mohamed Elhoseiny	PDF	N/A
Watching it in Dark: A Target-aware Representation Learning Framework for High-Level Vision Tasks in Low Illumination	Yunan Li, Yihao Zhang, Shoude Li, Long Tian, DOU QUAN, Chaoneng Li, Qiguang Miao	PDF	N/A
Self-supervised visual learning from interactions with objects	Arthur Aubret*, Céline Teulière, Jochen Triesch	PDF	N/A
OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation	Yuchen Che*, Ryo Furukawa, Asako Kanezaki	PDF	N/A
BAFFLE: A Baseline of Backpropagation-Free Federated Learning	Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen*, Shuicheng Yan, Min Lin	PDF	N/A
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement	Mathieu Cyrille Simon*, Pascal Frossard, Christophe De Vleeschouwer	PDF	N/A
OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects	Akshay Krishnan, Abhijit Kundu, Kevis-Kokitsi Maninis, James Hays, Matthew Brown	PDF	N/A
3R-INN: How to be climate friendly while consuming/delivering videos?	ZOUBIDA AMEUR*, Claire-Helene Demarty, Olivier LE MEUR, Daniel Menard	PDF	N/A
Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction	Bingyu Xin*, Meng Ye, Leon Axel, Dimitris N. Metaxas	PDF	N/A
Towards Robust Full Low-bit Quantization of Super Resolution Networks	Denis S. Makhov*, Irina Zhelavskaya, Ruslan Ostapets, Dehua Song, Kirill Solodskikh	PDF	N/A
Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking	Jiyao Zhang, Weiyao Huang, Bo Peng, Mingdong Wu, Fei Hu, Zijian Chen, Bo Zhao, Hao Dong*	PDF	N/A
Diverse Text-to-3D Synthesis with Augmented Text Embedding	Uy Dieu Tran, Minh N. Hoang Luu, Phong Ha Nguyen, Khoi Nguyen, Binh-Son Hua*	PDF	N/A
Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation	Mathias Öttl*, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Prof Arndt Hartmann, Matthias W. Beckmann, Peter Fasching, Andreas K Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger	PDF	N/A
LLMCO4MR: LLMs-aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang	Yuqing Zhang, Hangqi Li, Shengyu Zhang, Runzhong Wang, Baoyi He, Huaiyong Dou, Junchi Yan, Yongquan Zhang, Fei Wu	PDF	N/A
Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks	MohammadReza Davari*, Eugene Belilovsky	PDF	N/A
AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems	Roye Katzav, Amit Giloni, Edita Grolman, Hiroo Saito, Tomoyuki Shibata, Tsukasa Omino, Misaki Komatsu, Yoshikazu Hanatani, Yuval Elovici, Asaf Shabtai	PDF	N/A
iHuman: Instant Animatable Digital Humans From Monocular Videos	Pramish Paudel*, Anubhav Khanal, Danda Pani Paudel, Jyoti Tandukar, Ajad Chhatkuli	PDF	N/A
SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation	Heyuan Li, Ce Chen, Tianhao Shi, Yuda Qiu, Sizhe An, Guanying CHEN, Xiaoguang Han	PDF	N/A
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier	Prantik Howlader*, Srijan Das, Hieu Le, Dimitris Samaras	PDF	N/A
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering	Zeyu Liu, Weicong Liang, Zhanhao Liang, Chong Luo, Ji Li, Gao Huang, Yuhui Yuan*	PDF	N/A
Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network	Rui Li, Mikhail Kudryashev, Artur Yakimovich*	PDF	N/A
Face Reconstruction Transfer Attack as Out-of-Distribution Generalization	Yoon Gyo Jung, Jaewoo Park, Xingbo Dong, Hojin Park, Andrew Beng Jin Teoh, Octavia Camps	PDF	N/A
FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models	Andrea Caraffa*, Davide Boscaini, Amir Hamza, Fabio Poiesi	PDF	N/A
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems	Hyungjin Chung, Jong Chul Ye*	PDF	N/A
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation	Prantik Howlader*, Hieu Le, Dimitris Samaras	PDF	N/A
PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects	Junyi Li, Junfeng Wu, Weizhi Zhao, Song Bai, Xiang Bai*	PDF	N/A
WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding	Quan Kong*, Yuki Kawana, Rajat Saini, Ashutosh Kumar, Jingjing Pan, Ta Gu, Yohei Ozao, Balazs Opra, Yoichi Sato, Norimasa Kobori	PDF	N/A
Spiking Wavelet Transformer	Yuetong Fang, Ziqing Wang, Lingfeng Zhang, Jiahang Cao, Honglei Chen, Renjing Xu*	PDF	N/A
WAVE: Warping DDIM Inversion Features for Zero-shot Text-to-Video Editing	Yutang Feng, Sicheng Gao, Yuxiang Bao, Xiaodi Wang, Shumin Han, Juan Zhang*, Baochang Zhang, Angela Yao	PDF	N/A
PDT Uav Target Detection Dataset for Pests and Diseases Tree	Mingle Zhou, Rui Xing, Delong Han, Zhiyong Qi, Gang Li*	PDF	N/A
Hypernetworks for Generalizable BRDF Representation	Fazilet Gokbudak*, Alejandro Sztrajman, Chenliang Zhou, Fangcheng Zhong, Rafal Mantiuk, A. Cengiz Oztireli	PDF	N/A
Photon Inhibition for Energy-Efficient Single-Photon Imaging	Lucas J Koerner*, Shantanu Gupta, Atul N Ingle, Mohit Gupta	PDF	N/A
COD: Learning Conditional Invariant Representation for Domain Adaptation Regression	Hao-Ran Yang, Chuan-Xian Ren*, You-Wei Luo	PDF	N/A
RANRAC: Robust Neural Scene Representations via Random Ray Consensus	Benno Buschmann*, Andreea Dogaru, Elmar Eisemann, Michael Weinmann, Bernhard Egger	PDF	N/A
LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model	Runhui Huang, Kaixin Cai, Jianhua Han, Xiaodan Liang*, Renjing Pei, Guansong Lu, Songcen Xu, Wei Zhang, Hang Xu	PDF	N/A
Characterizing Model Robustness via Natural Input Gradients	Adrian Rodriguez-Munoz*, Tongzhou Wang, Antonio Torralba	PDF	N/A
UpFusion: Novel View Diffusion from Unposed Sparse View Observations	Bharath Raj Nagoor Kani*, Hsin-Ying Lee, Sergey Tulyakov, Shubham Tulsiani	PDF	N/A
Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding	Ozan Unal*, Christos Sakaridis, Suman Saha, Luc Van Gool	PDF	N/A
"SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks"	Abhishek Singh*, Vivek Sharma, Rohan Sukumaran, John J Mose, Jeffrey K Chiu, Justin Yu, Ramesh Raskar	PDF	N/A
Tuning-Free Image Customization with Image and Text Guidance	Pengzhi Li, Qiang Nie, Ying Chen, Xi Jiang, Kai Wu, Yuhuan Lin, Yong Liu, Jinlong Peng, Chengjie Wang, Feng Zheng*	PDF	N/A
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification	Yu Tian*, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang	PDF	N/A
Emerging Property of Masked Token for Effective Pre-training	Hyesong Choi, Hunsang Lee, Seyoung Joung, Hyejin Park, Jiyeong Kim, Dongbo Min*	PDF	N/A
DQ-DETR: DETR with Dynamic Query for Tiny Object Detection	Yi-Xin Huang*, Hou-I Liu, Hong-Han Shuai, Wen-Huang Cheng	PDF	N/A
Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation	Homanga Bharadhwaj*, Roozbeh Mottaghi, Abhinav Gupta, Shubham Tulsiani	PDF	N/A
SWAG: Splatting in the Wild images with Appearance-conditioned Gaussians	Hiba Dahmani*, Moussab Bennehar, Nathan Piasco, Luis G Roldao Jimenez, Dzmitry Tsishkou	PDF	N/A
Gaussian in the wild: 3D Gaussian Splatting for Unconstrained Image Collections	Dongbin Zhang, Chuming Wang, Weitao Wang, Peihao Li, Minghan Qin, Haoqian Wang	PDF	N/A
Few-shot Defect Image Generation based on Consistency Modeling	Qingfeng Shi, Jing Wei, Fei Shen*, Zhengtao Zhang	PDF	N/A
Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits	Ada-Astrid Balauca*, Danda Pani Paudel, Kristina Toutanova, Luc Van Gool	PDF	N/A
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs	Yassine Ouali, Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos	PDF	N/A
Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning	yuehui han*, Can Xu, Rui Xu, Jianjun Qian, Jin Xie	PDF	N/A
Prompt-Based Test-Time Real Image Dehazing: A Novel Pipeline	Zixuan Chen, Zewei He*, Ziqian Lu, Xuecheng Sun, Zheming Lu	PDF	N/A
Video Editing via Factorized Diffusion Distillation	Uriel Singer, Amit Zohar, Yuval Kirstain, Shelly Sheynin, Adam Polyak, Devi Parikh, Yaniv Taigman	PDF	N/A
Trackastra: Transformer-based cell tracking for live-cell microscopy	Benjamin Gallusser, Martin Weigert*	PDF	N/A
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion	Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang	PDF	N/A
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers	Nanye Ma, Mark Goldstein, Michael Albergo, Nicholas M Boffi, Eric Vanden-Eijnden, Saining Xie*	PDF	N/A
Learn to Memorize and to Forget: A Continual Learning Perspective of Dynamic SLAM	Baicheng Li, Zike Yan, Dong Wu, Hanqing Jiang, Hongbin Zha*	PDF	N/A
Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation	Sudhir Yarram*, Junsong Yuan	PDF	N/A
GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring	Emanuele Santellani*, Martin Zach, Christian Sormann, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer	PDF	N/A
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring	Sizhuo Li, Dimitri Gominski*, Martin Brandt, Xiaoye Tong, Philippe Ciais	PDF	N/A
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion	Daniel Winter, Matan Cohen, Shlomi Fruchter, Yael Pritch, Alex Rav-Acha, Yedid Hoshen	PDF	N/A
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning	ZiYang Gong, FuHao Li, Yupeng Deng, Deblina Bhattacharjee, Xianzheng Ma, Xiangwei Zhu, Zhenming Ji*	PDF	N/A
Curved Diffusion: A Generative Model With Optical Geometry Control	Andrey Voynov*, Amir Hertz, Moab Arar, Shlomi Fruchter, Daniel Cohen-Or	PDF	N/A
Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians	Guangchi Fang, Bing Wang*	PDF	N/A
MeshSegmenter: Zero-Shot Mesh Segmentation via Texture Synthesis	Ziming Zhong*, Yanyu Xu, Jing Li, Jiale Xu, Zhengxin Li, Chaohui Yu, Shenghua Gao	PDF	N/A
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation	Kwanyoung Kim, Yujin Oh, Jong Chul Ye*	PDF	N/A
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures	Yannick Kirchhoff, Maximilian R Rokuss, Saikat Roy*, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein	PDF	N/A
Conceptual Codebook Learning for Vision-Language Models	Yi Zhang, Ke Yu, Siqi Wu, Zhihai He	PDF	N/A
LingoQA: Video Question Answering for Autonomous Driving	Ana-Maria Marcu*, Long Chen, Jan Hünermann, Alice Karnsund, Benoit Hanotte, Prajwal Chidananda, Saurabh Nair, Vijay Badrinarayanan, Alex Kendall, Jamie Shotton, Elahe Arani, Oleg Sinavski	PDF	N/A
AnimateMe: 4D Facial Expressions via Diffusion Models	Dimitrios Gerogiannis*, Foivos Paraperas Papantoniou, Rolandos Alexandros Potamias, Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis, Stefanos Zafeiriou	PDF	N/A
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning	Zhecan Wang, Garrett Bingham*, Adams Wei Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi	PDF	N/A
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis	Kevin Xie*, Tianshi Cao, Jonathan P Lorraine, Jun Gao, James R Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng	PDF	N/A
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors	Tianyuan Yuan, Yucheng Mao, Jiawei Yang, Yicheng LIU, Yue Wang, Hang Zhao	PDF	N/A
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention	Jie Ren*, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang	PDF	N/A
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning	Tom Fischer*, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan Yuille, Adam Kortylewski, Eddy Ilg	PDF	N/A
Context Diffusion: In-Context Aware Image Generation	Ivona Najdenkoska*, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic	PDF	N/A
Pose Guided Fine-Grained Sign Language Video Generation	Tongkai Shi, Lianyu Hu, Fanhua Shang, Jichao Feng, liu peidong, Wei Feng*	PDF	N/A
RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos	Ali Zare*, Yulei Niu, Hammad Ayyubi, Shih-Fu Chang	PDF	N/A
Certifiably Robust Image Watermark	Zhengyuan Jiang*, Moyang Guo, Yuepeng Hu, Jinyuan Jia, Neil Zhenqiang Gong	PDF	N/A
Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery	Sukrut Rao, Sweta Mahajan, Moritz Böhle, Bernt Schiele	PDF	N/A
Online Zero-Shot Classification with CLIP	Qi Qian*, Juhua Hu	PDF	N/A
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning	Qi Qian*, Yuanhong Xu, Juhua Hu	PDF	N/A
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents	Yuqi Jia, Saeed Vahidian*, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen	PDF	N/A
Rethinking Fast Adversarial Training: A Splitting Technique To Overcome Catastrophic Overfitting	Masoumeh Zareapoor, Pourya Shamsolmoali*	PDF	N/A
Quality Assured: Rethinking Annotation Strategies in Imaging AI	Tim Rädsch, Annika Reinke, Vivienn Weru, Minu D. Tizabi, Nicholas Heller, Fabian Isensee, Annette Kopp-Schneider, Lena Maier-Hein	PDF	N/A
BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues	Sara Sarto*, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara	PDF	N/A
Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder	Jiajie Fan, Amal Trigui, Thomas Bäck, Hao Wang	PDF	N/A
Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance	Yufei Zhang, Jeffrey Kephart, Qiang Ji	PDF	N/A
3D Reconstruction of Objects in Hands without Real World 3D Supervision	Aditya Prakash*, Matthew Chang, Matthew Jin, Ruisen Tu, Saurabh Gupta	PDF	N/A
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning	Souhail Hadgi*, Lei Li, Maks Ovsjanikov	PDF	N/A
Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer	Xueyi Liu, Kangbo Lyu, jieqiong zhang, Tao Du, Li Yi	PDF	N/A
3D Hand Pose Estimation in Everyday Egocentric Images	Aditya Prakash*, Ruisen Tu, Matthew Chang, Saurabh Gupta	PDF	N/A
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops	Aditya Prakash*, Arjun Gupta, Saurabh Gupta	PDF	N/A
Towards Neuro-Symbolic Video Understanding	Minkyu Choi*, Harsh Goel, Mohammad Omama, Yunhao Yang, Sahil Shah, Sandeep Chinchali	PDF	N/A
Optimization-based Uncertainty Attribution Via Learning Informative Perturbations	Hanjing Wang*, Bashirul Azam Biswas, Qiang Ji	PDF	N/A
Context-Aware Action Recognition: Introducing a Comprehensive Dataset for Behavior Contrast	Tatsuya Sasaki*, Yoshiki Ito, Satoshi Kondo	PDF	N/A
Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency	Meilong Xu*, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen	PDF	N/A
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling	Noam Elata*, Tomer Michaeli, Michael Elad	PDF	N/A
Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator	Niki Amini-Naieni*, Tomas Jakab, Andrea Vedaldi, Ronald Clark	PDF	N/A
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks	Sanbao Su, Xin Li*, Thang Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren	PDF	N/A
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training	Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min*	PDF	N/A
Data Augmentation via Latent Diffusion for Saliency Prediction	Bahar Aydemir*, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk	PDF	N/A
Explorative Inbetweening of Time and Space	Haiwen Feng*, Zheng Ding, Zhihao Xia, Simon Niklaus, Victoria Fernandez Abrevaya, Michael J. Black, Xuaner Zhang	PDF	N/A
A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control	Karim Kadry*, Shreya Gupta, Jonas Sogbadji, Michiel Schaap, Kersten Petersen, Takuya Mizukami, Carlos Collet, Farhad R. Nezami, Elazer R Edelman	PDF	N/A
Learning to Make Keypoints Sub-Pixel Accurate	Shinjeong Kim*, Marc Pollefeys, Daniel Barath	PDF	N/A
Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images	Frederik Hoppe*, Claudio Mayrink Verdun, Hannah Sophie Laus, Sebastian Endt, Marion Irene Menzel, Felix Krahmer, Holger Rauhut	PDF	N/A
Generalizable Human Gaussians for Sparse View Synthesis	YoungJoong Kwon*, Baole Fang, Yixing Lu, Haoye Dong, Cheng Zhang, Francisco Vicente Carrasco, Albert Mosella-Montoro, Jianjin Xu, Shingo J Takagi, Daeil Kim, Aayush Prakash, Fernando de la Torre	PDF	N/A
DrivingDiffusion: Layout-Guided Multi-View Driving Scenarios Video Generation with Latent Diffusion Model	Li Xiaofan, Zhang Yifu, Ye Xiaoqing*	PDF	N/A
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off	Levente Halmosi, Bálint Mohos, Márk Jelasity*	PDF	N/A
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding	Sahil S Khose*, Anisha Pal, Aayushi Agarwal, . Deepanshi, Judy Hoffman, Prithvijit Chattopadhyay	PDF	N/A
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps	Jordão Bragantini*, Merlin Lange, Loïc A Royer	PDF	N/A
GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction	Yuxuan Mu*, Xinxin Zuo, Chuan Guo, Yilin Wang, Juwei Lu, Xiaofei Wu, Songcen Xu, Peng Dai, Youliang Yan, Li Cheng	PDF	N/A
AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation	Shengkun Tang*, Yaqing Wang, Caiwen Ding, Yi Liang, Yao Li, Dongkuan Xu	PDF	N/A
PFedEdit: Personalized Federated Learning via Automated Model Editing	Haolin Yuan, William Paul, John Aucott, Philippe Burlina, Yinzhi Cao	PDF	N/A
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation	Idit Diamant*, Amir Rosenfeld, Idan Achituve, Jacob Goldberger, Arnon Netzer	PDF	N/A
GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes	Ibrahim Ethem Hamamci*, Sezgin Er, Anjany Sekuboyina, Enis Simsar, Alperen Tezcan, Ayse Gulnihan Simsek, Sevval Nil Esirgun, Furkan Almas, Irem Dogan, Muhammed Furkan Dasdelen, Chinmay Prabhakar, Hadrien Reynaud, Sarthak Pati, Christian Bluethgen, Mehmet Kemal Ozdemir, Bjoern Menze	PDF	N/A
EraseDraw : Learning to Insert Objects by Erasing Them from Images	Alper Canberk*, Maksym Bondarenko, Ege Ozguroglu, Ruoshi Liu, Carl Vondrick	PDF	N/A
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference	Alind Khare*, Animesh Agrawal, Aditya Annavajjala, Payman Behnam, Myungjin Lee, Hugo M Latapie, Alexey Tumanov	PDF	N/A
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models	Francesco Croce, Naman D. Singh, Matthias Hein	PDF	N/A
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training	David Wan*, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal	PDF	N/A
Keypoint Promptable Re-Identification	Vladimir Somers*, Alexandre Alahi, Christophe De Vleeschouwer	PDF	N/A
Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas	Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli, Rita Cucchiara	PDF	N/A
DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting	Angelos Kratimenos*, Jiahui Lei, Kostas Daniilidis	PDF	N/A
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos	Remy Sabathier*, David Novotny, Niloy Mitra	PDF	N/A
Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers’ Opinion Scores	Lucas Goncalves, Prashant Mathur*, Chandrashekhar Lavania, Metehan Cekic, Marcello Federico, Kyu Han	PDF	N/A
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception	Mohammad Mahbubur Rahman, Ryoma Yataka, Sorachi Kato, Pu Wang*, Peizhao Li, Adriano Cardace, Petros Boufounos	PDF	N/A
Training A Secure Model against Data-Free Model Extraction	Zhenyi Wang, Li Shen, junfeng guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao	PDF	N/A
EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control	Christopher May*, Daniel Aliaga	PDF	N/A
TriNeRFLet: A Wavelet Based Triplane NeRF Representation	Rajaei Khatib, Raja Giryes	PDF	N/A
EgoBody3M: Egocentric Body Tracking on a VR Headset using a Diverse Dataset	Amy Zhao, Chengcheng Tang, Lezi Wang, Yijing Li, Mihika Dave, Lingling Tao*, Christopher D. Twigg, Robert Y. Wang	PDF	N/A
Photorealistic Video Generation with Diffusion Models	Agrim Gupta*, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, Jose Lezama	PDF	N/A
RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement	Tatiana Gaintseva, Martin Benning, Gregory Slabaugh	PDF	N/A
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models	Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar, Leonid Sigal, Matthew Turk	PDF	N/A
Object-Aware Query Perturbation for Cross-Modal Image-Text Retrieval	Naoya Sogi, Takashi Shibata, Makoto Terao*	PDF	N/A
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation	Rakshith Subramanyam, Kowshik Thopalli, Vivek Sivaraman Narayanaswamy, Jayaraman J. Thiagarajan	PDF	N/A
Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding	Minh Tran*, Yelin Kim, Che-Chun Su, Min Sun, Cheng-Hao Kuo, Mohammad Soleymani	PDF	N/A
Self-Supervised Audio-Visual Soundscape Stylization	Tingle Li*, Renhao Wang, Po-Yao Huang, Andrew Owens, Gopala Krishna Anumanchipalli	PDF	N/A
SAVE: Protagonist Diversification with Structure Agnostic Video Editing	Yeji Song, Wonsik Shin, Junsoo Lee, Jeesoo Kim, Nojun Kwak	PDF	N/A
VideoAgent: Long-form Video Understanding with Large Language Model as Agent	Xiaohan Wang*, Yuhui Zhang, Orr Zohar, Serena Yeung-Levy	PDF	N/A
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning	Thong Thanh Nguyen*, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi M Le, Cong-Duy Nguyen, See Kiong Ng, Anh Tuan Luu	PDF	N/A
Source-Free Domain-Invariant Performance Prediction	Ekaterina Khramtsova*, Mahsa Baktashmotlagh, Guido Zuccon, Xi Wang, Mathieu Salzmann	PDF	N/A
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures	Sayanton V. Dibbo*, Adam Breuer, Juston Moore, Michael Teti	PDF	N/A
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort	Jeeyung Kim*, Ze Wang, Qiang Qiu	PDF	N/A
Direct Distillation between Different Domains	Jialiang Tang, Shuo Chen, Gang Niu, Hongyuan Zhu, Joey Tianyi Zhou, Chen Gong, Masashi Sugiyama	PDF	N/A
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery	Andy V Huynh*, Lauren Gillespie, Jael Lopez-Saucedo, Claire Tang, Rohan Sikand, Moisés Expósito-Alonso	PDF	N/A
V-Trans4Style: Visual Transition Recommendation for Video Production Style Adaptation	Pooja Guhan*, Tsung-Wei Huang, Guan-Ming Su, Subhadra Gopalakrishnan, Dinesh Manocha	PDF	N/A
GRiT: A Generative Region-to-text Transformer for Object Understanding	Jialian Wu*, Jianfeng Wang, Zhengyuan Yang, Zhe Gan, Zicheng Liu, Junsong Yuan, Lijuan Wang	PDF	N/A
LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System	Hongbeen Park, Minjeong Park, Giljoo Nam, Jinkyu Kim*	PDF	N/A
Learning Representation for Multitask Learning through Self-Supervised Auxiliary Learning	Seokwon Shin, Hyungrok Do, Youngdoo Son*	PDF	N/A
Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending	Delong Wu, Hao Zhu, Qi Zhang, You Li, Xun Cao, Zhan Ma	PDF	N/A
Geometry Fidelity for Spherical Images	Anders Christensen, Nooshin Mojab, Khushman Patel, Karan Ahuja, Zeynep Akata, Ole Winther, Mar Gonzalez Franco, Andrea Colaco	PDF	N/A
BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modeling	Cheng Peng*, Yutao Tang, Yifan Zhou, Nengyu Wang, Xijun Liu, Deming Li, Rama Chellappa	PDF	N/A
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning	Erum Mushtaq*, Duygu Nur Yaldiz, Yavuz Faruk Bakman, Jie Ding, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr	PDF	N/A
WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation	Jiachen Lu, Ze Huang, Zeyu Yang, Zhang Jiahui, Li Zhang*	PDF	N/A
Benchmarking Spurious Bias in Few-Shot Image Classifiers	Guangtao Zheng*, Wenqian Ye, Aidong Zhang	PDF	N/A
TurboEdit: Real-time text-based disentangled real image editing	Zongze Wu*, Nicholas I Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman	PDF	N/A
Soft Shadow Diffusion (SSD): Physics-inspired Learning for 3D Computational Periscopy	Fadlullah A Raji, John Murray-Bruce	PDF	N/A
Augmented Neural Fine-tuning for Efficient Backdoor Purification	Nazmul Karim*, Abdullah Al Arafat, Umar Khalid, Zhishan Guo, Nazanin Rahnavard	PDF	N/A
REDIR: Refocus-free Event-based De-occlusion Image Reconstruction	Qi Guo, Hailong Shi, Huan Li, Jinsheng Xiao, Xingyu Gao	PDF	N/A
Free-Editor: Zero-shot Text-driven 3D Scene Editing	Nazmul Karim*, Hasan Iqbal, Umar Khalid, Chen Chen, Jing Hua	PDF	N/A
DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly	Fenggen Yu*, Yiming Qian, Xu Zhang, Francisca Gil-Ureta, Brian Jackson, Eric Bennett, Hao Zhang	PDF	N/A
An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation	Zhiyu Tan, Mengping Yang, Luozheng Qin , Hao Yang, Ye Qian , Qiang Zhou, Cheng Zhang, Hao Li*	PDF	N/A
Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt	Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, junfeng guo, Heng Huang	PDF	N/A
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models	Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang*	PDF	N/A
Generalizable Symbolic Optimizer Learning	Xiaotian Song, Peng Zeng, Yanan Sun*, Andy Song	PDF	N/A
Online Continuous Generalized Category Discovery	Keon-Hee Park, Hakyung Lee, Kyungwoo Song, Gyeong-Moon Park	PDF	N/A
Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation	Shihao Zhao, Shaozhe Hao, Bojia Zi, Huaizhe Xu, Kwan-Yee K. Wong	PDF	N/A
Tackling Structural Hallucination in Image Translation with Local Diffusion	Seunghoi Kim*, Chen Jin, Tom Diethe, Matteo Figini, Henry FJ Tregidgo, Asher Mullokandov, Philip A Teare, Daniel Alexander	PDF	N/A
Hierarchical Separable Video Transformer for Snapshot Compressive Imaging	Ping Wang, Yulun Zhang, Lishun Wang, Xin Yuan	PDF	N/A
Unified Medical Image Pre-training in Language-Guided Common Semantic Space	Xiaoxuan He, Yifan Yang, Xinyang Jiang, Xufang Luo*, Haoji Hu, Siyun Zhao, Dongsheng Li, Yuqing Yang, Lili Qiu	PDF	N/A
On the Vulnerability of Skip Connections to Model Inversion Attacks	Jun Hao Koh*, Sy-Tuyen Ho, Ngoc-Bao Nguyen, Ngai-Man Cheung	PDF	N/A
Adversarial Robustification via Text-to-Image Diffusion Models	Daewon Choi, Jongheon Jeong, Huiwon Jang, Jinwoo Shin*	PDF	N/A
Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection	Yunfeng FAN, Wenchao Xu, Haozhao Wang, Fushuo Huo, Jinyu Chen, Song Guo	PDF	N/A
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector	Xianren Zhang, Dongwon Lee, Suhang Wang*	PDF	N/A
Reinforcement Learning via Auxillary Task Distillation	Abhinav N Harish*, Larry Heck, Josiah P Hanna, Zsolt Kira, Andrew Szot	PDF	N/A
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation	Sanghyun Jo, Fei Pan, In-Jae Yu, Kyungsu Kim*	PDF	N/A
Pre-trained Visual Dynamics Representations for Efficient Policy Learning	Hao Luo, Bohan Zhou, Zongqing Lu	PDF	N/A
View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields	Haodi He, Colton Stearns, Adam Harley, Leonidas Guibas*	PDF	N/A
Plug and Play: A Representation Enhanced Domain Adapter for Collaborative Perception	Tianyou Luo, Quan Yuan, Yuchen Xia, Guiyang Luo, Yujia Yang, Jinglin Li	PDF	N/A
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models	Yuchen Yang, Kwonjoon Lee, Behzad Dariush, Yinzhi Cao, Shao-Yuan Lo*	PDF	N/A
SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation	Yi-Chia Chen, Wei-Hua Li, Cheng Sun, Yu-Chiang Frank Wang, Chu-Song Chen*	PDF	N/A
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias	Sanghyun Jo, Soohyun Ryu, Sungyub Kim, Eunho Yang, Kyungsu Kim*	PDF	N/A
Learning Quantized Adaptive Conditions for Diffusion Models	Yuchen Liang, Yuchuan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen	PDF	N/A
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay	Yu Yongcan, Lijun Sheng, Ran He, Jian Liang*	PDF	N/A
Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry	Shengjie Zhu*, Girish Chandar Ganesan, Abhinav Kumar, Xiaoming Liu	PDF	N/A
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention	Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic*	PDF	N/A
High-Fidelity Modeling of Generalizable Wrinkle Deformation	Jingfan Guo, Jae Shin Yoon, Shunsuke Saito, Takaaki Shiratori, Hyun Soo Park*	PDF	N/A
Instruction Tuning-free Visual Token Complement for Multimodal LLMs	Dongsheng Wang*, Jiequan Cui, Miaoge Li, Wang Lin, Bo Chen, Hanwang Zhang	PDF	N/A
Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection	Ting Lei, Shaofeng Yin, Yuxin Peng, Yang Liu*	PDF	N/A
Training-free Video Temporal Grounding using Large-scale Pre-trained Models	Minghang Zheng, Xinhao Cai, Qingchao Chen, Yuxin Peng, Yang Liu*	PDF	N/A
Revisit Self-supervision with Local Structure-from-Motion	Shengjie Zhu*, Xiaoming Liu	PDF	N/A
FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis	Vishnu Mani Hema*, Shubhra Aich, Christian Haene, Jean-Charles Bazin, Fernando de la Torre	PDF	N/A
Efficient Learning of Event-based Dense Representation using Hierarchical Memories with Adaptive Update	Uday Kamal*, Saibal Mukhopadhyay	PDF	N/A
SNP: Structured Neuron-level Pruning to Preserve Attention Scores	KyungHwan Shim, Jaewoong Yun, Shinkook Choi*	PDF	N/A
Multi-Granularity Sparse Relationship Matrix Prediction Network for End-to-End Scene Graph Generation	lei wang, Zejian Yuan, Badong Chen*	PDF	N/A
Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats	Mingyang Xie*, Haoming Cai, Sachin Shah, Yiran Xu, Brandon Y. Feng, Jia-Bin Huang, Christopher A. Metzler	PDF	N/A
PALM: Predicting Actions through Language Models	Sanghwan Kim*, Daoji Huang, Yongqin Xian, Otmar Hilliges, Luc Van Gool, Xi Wang	PDF	N/A
Motion Keyframe Interpolation for Any Human Skeleton using Point Cloud-based Human Motion Data Homogenisation	Clinton A Mo, Kun Hu*, Chengjiang Long, Dong Yuan, Zhiyong Wang	PDF	N/A
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher	Trung Tuan Dao, Thuan Hoang Nguyen, Thanh Van Le, Duc H Vu, Khoi Nguyen, Cuong Pham, Anh T Tran	PDF	N/A
Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment	Yuxiao Chen, Kai Li, Wentao Bao, Deep Patel, Yu Kong, Martin Renqiang Min, Dimitris N. Metaxas	PDF	N/A
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization	Yifei Yang, Wonjun Lee, Dongmian Zou*, Gilad Lerman	PDF	N/A
VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG	Yankun Xu, Junzhe Wang, Yun-Hsuan Chen, Jie Yang, Wenjie Ming, Shuang Wang, Mohamad Sawan	PDF	N/A
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose	Yusuke Yoshiyasu*, Leyuan Sun	PDF	N/A
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense	Jeremy Styborski, Mingzhi Lyu, Yi Huang, Adams Kong	PDF	N/A
Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics	Woojin Cho, Jihyun Lee, Minjae Yi, Minje Kim, Taeyun Woo, Donghwan Kim, Taewook Ha, Hyokeun Lee, Je-Hwan Ryu, Woontack Woo, Tae-Kyun (T-K) Kim*	PDF	N/A
Human Pose Recognition via Occlusion-Preserving Abstract Images	Saad Manzur, Wayne B Hayes	PDF	N/A
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception	Kai Jiang*, Jiaxing Huang, Weiying Xie, Jie Lei, Yunsong Li, Ling Shao, Shijian Lu	PDF	N/A
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow	Yuanzhi Zhu, Xingchao Liu, Qiang Liu	PDF	N/A
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation	Shaowei Liu, Zhongzheng Ren, Saurabh Gupta, Shenlong Wang*	PDF	N/A
Depth-Aware Blind Image Decomposition for Real-World Adverse Weather Recovery	Chao Wang*, Zhedong Zheng, Ruijie Quan, Yi Yang	PDF	N/A
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation	Jeongsol Kim, Geon Yeong Park, Jong Chul Ye*	PDF	N/A
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation	Zhilin Zhu, Xiaopeng Hong, Zhiheng Ma, Weijun Zhuang, YaoHui Ma, Yong Dai, Yaowei Wang	PDF	N/A
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition	Ka-Ho Chow*, Sihao Hu, Tiansheng Huang, Ling Liu	PDF	N/A
PosterLlama: Bridging Design Ability of Langauge Model to Content-Aware Layout Generation	Jaejung Seol, SeoJun Kim, Jaejun Yoo*	PDF	N/A
PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control	Rishubh Parihar*, Sachidanand VS, Sabariswaran Mani, Tejan Karmali, Venkatesh Babu RADHAKRISHNAN	PDF	N/A
LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation	Pengwei Yin*, Jingjing Wang, Guanzhong Zeng, Di Xie, Jiang Zhu	PDF	N/A
Efficient Training with Denoised Neural Weights	Yifan Gong*, Zheng Zhan, Yanyu Li, Yerlan Idelbayev, Andrey Zharkov, Kfir Aberman, Sergey Tulyakov, Yanzhi Wang, Jian Ren	PDF	N/A
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning	Jihai Zhang, Xiang Lan, Xiaoye Qu, Yu Cheng, Mengling Feng, Bryan Hooi	PDF	N/A
Integration of Global and Local Representations for Fine-grained Cross-modal Alignment	Seungwan Jin, Hoyoung Choi, Taehyung Noh, Kyungsik Han*	PDF	N/A
Local and Global Flatness for Federated Domain Generalization	Hao Yan, Yuhong Guo*	PDF	N/A
SRPose: Two-view Relative Pose Estimation with Sparse Keypoints	Rui Yin, Yulun Zhang, Zherong Pan, Jianjun Zhu, Cheng Wang, Biao Jia*	PDF	N/A
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models	Xiaoshi Wu, Yiming Hao, Manyuan Zhang, Keqiang Sun, Zhaoyang Huang, Guanglu Song, Yu Liu, Hongsheng Li	PDF	N/A
Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs	Shi Liu, Kecheng Zheng, Wei Chen*	PDF	N/A
Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer.	Zhuoyi Yang*, Heyang Jiang, Wenyi Hong, Jiayan Teng, Wendi Zheng, Yuxiao Dong, Ming Ding, Jie Tang	PDF	N/A
Implicit Neural Models to Extract Heart Rate from Video	Pradyumna Chari*, Anirudh Bindiganavale Harish, Adnan Armouti, Alexander Vilesov, Sanjit Sarda, Laleh Jalilian, Achuta Kadambi	PDF	N/A
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering	Francesco Di Sario*, Riccardo Renzulli, Marco Grangetto, Enzo Tartaglione	PDF	N/A
PFGS: High Fidelity Point Cloud Rendering via Feature Splatting	Jiaxu Wang, Zhang Ziyi, Junhao He, Renjing Xu*	PDF	N/A
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation	Guan Gui, Bin-Bin Gao*, Jun Liu, Chengjie Wang, Yunsheng Wu	PDF	N/A
E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation	Peijun Bao*, Zihao Shao, Wenhan Yang, Boon Poh Ng, Alex Kot	PDF	N/A
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions	Linrui Tian, Qi Wang, Bang Zhang, Liefeng Bo	PDF	N/A
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement	Ye Yu, Fengxin Chen, Jun Yu*, Zhen Kan	PDF	N/A
"Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs"	Shuchao Pang, Ruhao Ma, Bing Li, Yongbin Zhou, Yazhou Yao	PDF	N/A
Efficient Vision Transformers with Partial Attention	Xuan-Thuy Vo, Duy-Linh Nguyen, Adri Priadana, Kang-Hyun Jo	PDF	N/A
Generalized Coverage for More Robust Low-Budget Active Learning	Wonho Bae, Junhyug Noh, Danica J. Sutherland*	PDF	N/A
Rasterized Edge Gradients: Handling Discontinuities Differentially	Stanislav Pidhorskyi*, Tomas Simon, Gabriel Schwartz, He Wen, Yaser Sheikh, Jason Saragih	PDF	N/A
Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment	Chong Li, Xuelin Qian, Yun Wang, Jingyang Huo, Xiangyang Xue, Yanwei Fu*, Jianfeng Feng	PDF	N/A
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning	Boyu Fan*, Chenrui Wu, Xiang Su, Pan HUI	PDF	N/A
LLaVA-UHD: an LMM Perceiving any Aspect Ratio and High-Resolution Images	Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang	PDF	N/A
Learning Natural Consistency Representation for Face Forgery Video Detection	Daichi Zhang, Zihao Xiao, Shikun Li, Fanzhao Lin, Jianmin Li, Shiming Ge	PDF	N/A
ZeroI2V: Zero-Cost Adaptation of Pre-Trained Transformers from Image to Video	Xinhao Li, Yuhan Zhu, Limin Wang*	PDF	N/A
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems	Yasar U Alcalar*, Mehmet Akcakaya	PDF	N/A
R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model	Changhoon Kim, Kyle Min, Yezhou Yang	PDF	N/A
OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection	Hu Zhang, xu jianhua, Tao Tang, Haiyang Sun, Xin Yu, Zi Helen Huang, Kaicheng Yu	PDF	N/A
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion	Yu Cao*, Shaogang Gong	PDF	N/A
Data Poisoning Quantization Backdoor Attack	Tran Huynh*, Anh Tran, Khoa Doan, Tung Pham	PDF	N/A
DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition	Qi Wang, Zhou Xu, Yuming Lin, Jingtao Ye, Hongsheng Li, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Liang Zhang*	PDF	N/A
On the Topology Awareness and Generalization Performance of Graph Neural Networks	Junwei Su*, Chuan Wu	PDF	N/A
T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy	Fan Duan, Jiahao Yu, Li Chen*	PDF	N/A
A high-quality robust diffusion framework for corrupted dataset	Quan Dao*, Binh Ta, Tung Pham, Anh Tran	PDF	N/A
Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning	Amandeep Kumar*, Muhammad Awais, Sanath Narayan, Hisham Cholakkal, Salman Khan, Rao Muhammad Anwer	PDF	N/A
Distilling Knowledge from Large-Scale Image Models for Object Detection	Gang Li, Wenhai Wang, Xiang Li, Ziheng Li, Jian Yang, Jifeng Dai, Yu Qiao, Shanshan Zhang	PDF	N/A
Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection	Hu Cao, Zehua Zhang, Yan Xia, Xinyi Li, Jiahao Xia, Guang Chen*, Alois C. Knoll	PDF	N/A
TimeLens-XL: Real-time Event-based Video Frame Interpolation with Large Motion	Shi Guo, Yutian Chen, Tianfan Xue, Jinwei Gu, Yongrui Ma*	PDF	N/A
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection	Tim Salzmann, Markus Ryll, Alex Bewley, Matthias Minderer*	PDF	N/A
Self-Supervised Underwater Caustics Removal and Descattering via Deep Monocular SLAM	Jonathan Sauder*, Devis Tuia	PDF	N/A
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets	Qin Lei*, Jiang Zhong, Qizhu Dai	PDF	N/A
Retrieval Robust to Object Motion Blur	Rong Zou, Marc Pollefeys, Denys Rozumnyi*	PDF	N/A
Unsupervised Representation Learning by Balanced Self Attention Matching	Daniel Shalam, Simon Korman	PDF	N/A
DualBEV: Unifying Dual View Transformation with Probabilistic Correspondences	Peidong Li, Wancheng Shen, Qihao Huang, Dixiao Cui	PDF	N/A
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging	Wenhua Wu, Kun Hu*, Wenxi Yue, Wei Li, Milena Simic, Changyang Li, Wei Xiang, Zhiyong Wang	PDF	N/A
Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction	Misha Andriluka*, Baruch Tabanpour, Daniel Freeman, Cristian Sminchisescu	PDF	N/A
Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation	Ilhoon Yoon, Hyeongjun Kwon, Jin Kim, Junyoung Park, Hyunsung Jang, Kwanghoon Sohn*	PDF	N/A
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation	Shentong Mo, Enze Xie*, Yue Wu, Junsong Chen, Matthias Niessner, Zhenguo Li	PDF	N/A
Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation	Shoumeng Qiu, Jie Chen, Xinrun Li, Ru Wan, Xiangyang Xue, Jian Pu*	PDF	N/A
Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation	Fangfu Liu, Hanyang Wang, Weiliang Chen, Haowen Sun, Yueqi Duan*	PDF	N/A
"Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts"	Jianhao Li, Tianyu Sun, Zhongdao Wang, Enze Xie, Bailan Feng, Hongbo Zhang, Ze Yuan, Ke Xu, Jiaheng Liu, Ping Luo	PDF	N/A
SCOD: From Heuristics to Theory	Vojtech Franc, Jakub Paplham, Daniel Prusa*	PDF	N/A
Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection	Gaurav Bhatt*, Leonid Sigal, James Ross	PDF	N/A
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation	Marco Mistretta*, Alberto Baldrati, Marco Bertini, Andrew D. Bagdanov	PDF	N/A
Teach CLIP to Develop a Number Sense for Ordinal Regression	Yao DU, Qiang Zhai, Weihang Dai, Xiaomeng Li	PDF	N/A
Compact 3D Scene Representation via Self-Organizing Gaussian Grids	Wieland Morgenstern*, Florian Barthel, Anna Hilsmann, Peter Eisert	PDF	N/A
Pix2Gif: Motion-Guided Diffusion for GIF Generation	Hitesh Kandala*, Jianfeng Gao, Jianwei Yang	PDF	N/A
VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking	Jens Hellekes*, Manuel Mühlhaus, Reza Bahmanyar, Seyed Majid Azimi, Franz Kurz	PDF	N/A
SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes	Mohammad Zohaib*, Luca Cosmo, Alessio Del Bue	PDF	N/A
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning	Xinyuan Gao, Songlin Dong, Yuhang He*, Qiang Wang, Yihong Gong	PDF	N/A
T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models	Zhongqi Wang, Jie Zhang*, Shiguang Shan, Xilin Chen	PDF	N/A
ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples	Noo-ri Kim, Jin-Seop Lee, Jee-Hyong Lee*	PDF	N/A
Towards Certifiably Robust Face Recognition	Seunghun Paik, Dongsoo Kim, Chanwoo Hwang, Sunpill Kim, Jae Hong Seo*	PDF	N/A
Linking in Style: Understanding learned features in deep learning models	Maren Wehrheim*, Pamela Osuna Vargas, Matthias Kaschube	PDF	N/A
Stable Video Portraits	Mirela Ostrek*, Justus Thies	PDF	N/A
UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework	Tarun Kalluri*, Sreyas Ravichandran, Manmohan Chandraker	PDF	N/A
CliffPhys: Camera-based Respiratory Measurement using Clifford Neural Networks	Omar Ghezzi*, Giuseppe Boccignone, Giuliano Grossi, Raffaella Lanzarotti, Alessandro D'Amelio	PDF	N/A
Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network	Chenhao Zhang, Wei Gao*	PDF	N/A
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers	Ananthu Aniraj*, Cassio F. Dantas, Dino Ienco, Diego Marcos	PDF	N/A
Vision-Language Dual-Pattern Matching for Out-of-Distribution Detection	Zihan Zhang, Zhuo Xu, Xiang Xiang*	PDF	N/A
Synthesizing Environment-Specific People in Photographs	Mirela Ostrek*, Carol O'Sullivan, Michael J. Black, Justus Thies	PDF	N/A
Weight Conditioning for Smooth Optimization of Neural Networks	Hemanth Saratchandran*, Thomas X Wang, Simon Lucey	PDF	N/A
Energy-Clibrated VAE with Test Time Free Lunch	Yihong Luo, Siya Qiu, Xingjian Tao, Yujun Cai, Jing Tang*	PDF	N/A
MoEAD: A Parameter-efficient Model for Multi-class Anomaly Detection	Shiyuan Meng, Wenchao Meng*, Qihang Zhou, Shizhong Li, Weiye Hou, Shibo He	PDF	N/A
SceneTeller: Language-to-3D Scene Generation	Basak Melis Ocal*, Maxim Tatarchenko, Sezer Karaoglu, Theo Gevers	PDF	N/A
MagMax: Leveraging Model Merging for Seamless Continual Learning	Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert	PDF	N/A
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding	Yi Wang, Kunchang Li, Xinhao Li, Jiashuo Yu, Yinan He, Guo Chen, Baoqi Pei, Rongkun Zheng, Jilan Xu, Zun Wang, Yansong Shi, Tianxiang Jiang, SongZe Li, hongjie Zhang, Yifei Huang, Yu Qiao, Yali Wang, Limin Wang	PDF	N/A
DiffusionPen: Towards Controlling the Style of Handwritten Text Generation	Konstantina Nikolaidou*, George Retsinas, Giorgos Sfikas, Marcus Liwicki	PDF	N/A
Debiasing surgeon: fantastic weights and how to find them	Remi Nahon, Ivan Luiz De Moura Matos, Van-Tam Nguyen, Enzo Tartaglione*	PDF	N/A
Denoising Vision Transformers	Jiawei Yang*, Katie Z Luo, Jiefeng Li, Congyue Deng, Leonidas Guibas, Dilip Krishnan, Kilian Weinberger, Yonglong Tian, Yue Wang	PDF	N/A
Differentiable Product Quantization for Memory Efficient Camera Relocalization	Zakaria Laskar*, Iaroslav Melekhov, Assia Benbihi, Shuzhe Wang, Juho Kannala	PDF	N/A
Spline-based Transformers	Prashanth Chandran, Agon Serifi, Markus Gross, Moritz Bächer	PDF	N/A
Learning Pseudo 3D Guidance for View-consistent Texturing with 2D Diffusion	Kehan Li, Yanbo Fan, Yang Wu, Zhongqian Sun, Wei Yang, Xiangyang Ji, Li Yuan, Jie Chen	PDF	N/A
TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly	Mengqi Guo*, Chen Li, Yuyang Zhao, Gim Hee Lee	PDF	N/A
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data	Jialong Wu*, Mirko Meuter, Markus Schoeler, Matthias Rottmann	PDF	N/A
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models	Yang Zhang*, Tze Tzun Teoh, Wei Hern Lim, Kenji Kawaguchi	PDF	N/A
Adversarial Diffusion Distillation	Axel Sauer*, Dominik Lorenz, Andreas Blattmann, Robin Rombach	PDF	N/A
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection	Yuzhen Lin, Wentang Song, Bin Li, Yuezun Li, Jiangqun Ni, Han Chen, Qiushi Li	PDF	N/A
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts	Andong Tan, Fengtao Zhou, Hao Chen*	PDF	N/A
Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation	Tong Shao, Zhuotao Tian, Hang Zhao, Jingyong Su	PDF	N/A
A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis	Xiang Liu, Zhaoxiang Liu, Huan Hu, Zezhou Chen, Kohou Wang, Kai Wang, Shiguo Lian	PDF	N/A
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models	Taesup Kim*, Donggeun Kim	PDF	N/A
Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information	Luca Di Giammarino*, Boyang Sun, Giorgio Grisetti, Marc Pollefeys, Hermann Blum, Daniel Barath	PDF	N/A
Improving Diffusion Models for Authentic Virtual Try-on in the Wild	Yisol Choi, Sangkyung Kwak, Kyungmin Lee, Hyungwon Choi, Jinwoo Shin	PDF	N/A
Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models	Minchan Kim, Minyeong Kim, Junik Bae, Suhwan Choi, Sungkyung Kim, Buru Chang*	PDF	N/A
LISO: Lidar-only Self-Supervised 3D Object Detection	Stefan Andreas Baur*, Frank Moosmann, Andreas Geiger	PDF	N/A
Text-Conditioned Resampler For Long Form Video Understanding	Bruno Korbar*, Yongqin Xian, Alessio Tonioni, Andrew Zisserman, Federico Tombari	PDF	N/A
Implicit Steganography Beyond the Constraints of Modality	Sojeong Song, Seoyun Yang, Chang D. Yoo, Junmo Kim	PDF	N/A
Using My Artistic Style? You Must Obtain My Authorization	Xiuli Bi, Haowei Liu, Weisheng Li, Bo Liu*, Bin Xiao	PDF	N/A
LookupViT: Compressing visual information to a limited number of tokens	Rajat Koner, Gagan Jain, Sujoy Paul*, Volker Tresp, Prateek Jain	PDF	N/A
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation	Nina Weng*, Paraskevas Pegios, Eike Petersen, Aasa Feragen, Siavash Arjomand Bigdeli	PDF	N/A
UMERegRobust – Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration	Yuval Haitman*, Amit Efraim, Joseph M Francos	PDF	N/A
Non-transferable Pruning	Ruyi Ding*, Lili Su, A. Adam Ding, Yunsi Fei	PDF	N/A
A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis	Kai Katsumata*, Duc Minh Vo, Hideki Nakayama	PDF	N/A
Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations	Tomáš Chobola, Yu Liu, Hanyi Zhang, Julia A Schnabel, Tingying Peng	PDF	N/A
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning	Yan Li, Weiwei Guo, Xue Yang, Ning Liao, Dunyun He, Jiaqi Zhou, Wenxian Yu	PDF	N/A
Affine steerers for structured keypoint description	Georg Bökman*, Johan Edstedt, Michael Felsberg, Fredrik Kahl	PDF	N/A
Score Distillation Sampling with Learned Manifold Corrective	Thiemo Alldieck*, Nikos Kolotouros, Cristian Sminchisescu	PDF	N/A
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving	Xingtai Gui*, Tengteng Huang, Haonan Shao, Haotian Yao, Chi Zhang	PDF	N/A
Benchmarking the Robustness of Cross-view Geo-localization Models	Qingwang Zhang, Yingying Zhu*	PDF	N/A
GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth	Aurélien Cecille*, Stefan Duffner, Franck Davoine, Thibault Neveu, Rémi Agier	PDF	N/A
SUMix: Mixup with Semantic and Uncertain Information	Huafeng Qin, Xin Jin*, Hongyu Zhu, Hongchao Liao, Mounim A. El Yacoubi, Xinbo Gao	PDF	N/A
Flatness-aware Sequential Learning Generates Resilient Backdoors	Hoang Pham*, The-Anh Ta, Anh T Tran, Khoa D Doan	PDF	N/A
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models	Xiao Liu, Xiaoliu Guan, Yu Wu, Jiaxu Miao	PDF	N/A
IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception	Shaohong Wang, Lu Bin, Xinyu Xiao, Zhiyu Xiang, Hangguan Shan, Eryun Liu*	PDF	N/A
DiffClass: Diffusion-Based Class Incremental Learning	Zichong Meng, Jie Zhang, Changdi Yang, Zheng Zhan, Pu Zhao, Yanzhi Wang	PDF	N/A
Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees	Robin Kenis*, Emanuel Laude, Panagiotis Patrinos	PDF	N/A
Instant 3D Human Avatar Generation using Image Diffusion Models	Nikos Kolotouros*, Thiemo Alldieck, Enric Corona, Eduard Gabriel Bazavan, Cristian Sminchisescu	PDF	N/A
PromptFusion: Decoupling Stability and Plasticity for Continual Learning	Haoran Chen, Zuxuan Wu*, Xintong Han, Menglin Jia, Yu-Gang Jiang	PDF	N/A
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance	Reyhane Askari Hemmat, Melissa Hall, Alicia Yi Sun, Candace Ross, Michal Drozdzal, Adriana Romero-Soriano	PDF	N/A
Adapting to Shifting Correlations with Unlabeled Data Calibration	Minh Nguyen*, Alan Q Wang, Heejong Kim, Mert Sabuncu	PDF	N/A
Masked Generative Video-to-Audio Transformers with Enhanced Synchronicity	Santiago Pascual, Chunghsin YEH*, Ioannis Tsiamas, Joan Serrà	PDF	N/A
Information Bottleneck Based Data Correction in Continual Learning	Shuai Chen, mingyi zhang, Junge Zhang, Kaiqi Huang	PDF	N/A
On Spectral Properties of Gradient-based Explanation Methods	Amir Mehrpanah*, Erik Englesson, Hossein Azizpour	PDF	N/A
Contextual Correspondence Matters: Bidirectional Graph Matching for Video Summarization	Yunzuo Zhang*, Yameng Liu	PDF	N/A
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation	Muer Tie, Julong Wei, Zhengjun Wang, Ke Wu, Shanshuai Yuan, Kaizhao Zhang, Jie Jia, Jieru Zhao, Zhongxue Gan, Wenchao Ding	PDF	N/A
Dataset Distillation by Automatic Training Trajectories	Dai Liu, Jindong Gu, Hu Cao, Carsten Trinitis, Martin Schulz*	PDF	N/A
FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation	Jingyi Tang, Gu Wang, Zeyu Chen, Shengquan Li, Xiu Li, Xiangyang Ji	PDF	N/A
EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding	Wenhua Wu, Qi Wang, Guangming Wang, Junping Wang, Tiankun Zhao, Yang Liu, Dongchao Gao, Zhe Liu, Hesheng Wang	PDF	N/A
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers	Cong Wei*, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen	PDF	N/A
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning	Mengxin Zheng*, Jiaqi Xue, Zihao Wang, Xun Chen, Qian Lou, Lei Jiang, Xiaofeng Wang	PDF	N/A
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation	Yingshan Chang*, Yasi Zhang, Zhiyuan Fang, Ying Nian Wu, Yonatan Bisk, Feng Gao	PDF	N/A
Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision	Jinhee Kim, Taesung Kim, Jaegul Choo*	PDF	N/A
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction	Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan E. Lenssen	PDF	N/A
HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions	Chiranjeev Chiranjeev, Muskan Dosi, Kartik Thakral, Mayank Vatsa*, Richa Singh	PDF	N/A
InstructGIE: Towards Generalizable Image Editing	Zichong Meng, Changdi Yang, Jun Liu, Hao Tang, Pu Zhao, Yanzhi Wang*	PDF	N/A
HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation	WENCAN CHENG, Eunji Kim, Jong Hwan Ko*	PDF	N/A
Navigating Text-to-Image Generative Bias across Indic Languages	Surbhi Mittal, Arnav Sudan, Mayank Vatsa, Richa Singh, Tamar Glaser, Tal Hassner	PDF	N/A
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning	Ray Zhang*, Zheming Zhou, Min Sun, Omid Ghasemalizadeh, Cheng-Hao Kuo, Ryan M. Eustice, Maani Ghaffari Jadidi, Arnie Sen	PDF	N/A
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models	Nick Stracke*, Stefan Andreas Baumann, Joshua Susskind, Miguel Angel Bautista, Bjorn Ommer	PDF	N/A
Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation	Sangyeop Yeo, Yoojin Jang, Jaejun Yoo*	PDF	N/A
VividDreamer: Invariant Score Distillation for Hyper-Realistic Text-to-3D Generation	Wenjie Zhuo*, Fan Ma, Hehe Fan, Yi Yang	PDF	N/A
"A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation"	Riccardo Fogliato*, Pratik Patil, Mathew Monfort, Pietro Perona	PDF	N/A
Towards Scene Graph Anticipation	Rohith Peddi*, Saksham Singh, Saurabh ., Parag Singla, Vibhav Gogate	PDF	N/A
Non-Line-of-Sight Estimation of Fast Human Motion with Slow Scanning Imagers	Javier Grau Chopite, Patrick Hähn, Matthias B Hullin	PDF	N/A
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding	Danish Nazir*, Timo Bartels, Jan Piewek, Thorsten Bagdonat, Tim Fingscheidt	PDF	N/A
NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration	Lin Tian*, Thomas H Greer, Raul San Jose Estepar, Roni Sengupta, Marc Niethammer	PDF	N/A
Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models	Rining Wu, Feixiang Zhou, Ziwei Yin, Jian Liu	PDF	N/A
Image Manipulation Detection With Implicit Neural Representation and Limited Supervision	Zhenfei Zhang*, Mingyang Li, Xin Li, Ming-Ching Chang, Jun-Wei Hsieh	PDF	N/A
Scalar Function Topology Divergence: Comparing Topology of 3D Objects	Ilya Trofimov*, Daria Voronkova, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov	PDF	N/A
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks	Tingyu Qu*, Tinne Tuytelaars, Marie-Francine Moens	PDF	N/A
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models	Vitali Petsiuk*, Kate Saenko	PDF	N/A
DeTra: A Unified Model for Object Detection and Trajectory Forecasting	Sergio Casas*, Ben T Agro, Jiageng Mao, Thomas Gilles, ALEXANDER Y CUI, Enxu Li, Raquel Urtasun	PDF	N/A
ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems	Denis Zavadski*, Johann-Friedrich Feiden, Carsten Rother	PDF	N/A
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction	Alexander Timans*, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric Nalisnick	PDF	N/A
Common Sense Reasoning for Deep Fake Detection	Yue Zhang, Ben Colman, Xiao Guo, Ali Shahriyari, Gaurav Bharaj	PDF	N/A
Let the Avatar Talk using Texts without Paired Training Data	Xiuzhe Wu, Yang-Tian Sun, Handi Chen, Hang Zhou, Jingdong Wang, Zhengzhe Liu, Xiaojuan Qi*	PDF	N/A
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields	Muhammad Zubair Irshad*, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus	PDF	N/A
GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning	Animesh Karnewar, Roman Shapovalov, Tom Monnier, Andrea Vedaldi, Niloy J. Mitra, David Novotny*	PDF	N/A
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks	Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma, Junzhou Huang*	PDF	N/A
AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale	Keenon Werling*, Janelle M Kaneda, Tian Tan, Rishi Agarwal, Six Skov, Tom Van Wouwe, Scott Uhlrich, Scott Delp, Karen Liu, Nicholas A Bianco, Carmichael Ong, Antoine Falisse, Shardul Sapkota, Aidan Jai Chandra, Joshua A Carter, Ezio Preatoni, Benjamin J Fregly, Jennifer Hicks	PDF	N/A
How to Train the Teacher Model for Effective Knowledge Distillation	Shayan Mohajer Hamidi*, Xizhen Deng, Renhao Tan, Linfeng Ye, Ahmed Hussein Salamah	PDF	N/A
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers	Ekaterina Grishina*, Mikhail Gorbunov, Maxim Rakhuba	PDF	N/A
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models	Reza Abbasi, Mohammad Rohban, Mahdieh Soleymani Baghshah*	PDF	N/A
Modality Translation for Object Detection Adaptation without forgetting prior knowledge	Heitor Rapela Medeiros*, Masih Aminbeidokhti, Fidel A Guerrero Pena, David Latortue, Eric Granger, Marco Pedersoli	PDF	N/A
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning	Oscar Skean*, Aayush Dhakal, Nathan Jacobs, Luis G Sanchez Giraldo	PDF	N/A
Learning Multimodal Latent Generative Models with Energy-Based Prior	Shiyu Yuan*, Jiali Cui, Hanao Li, Tian Han	PDF	N/A
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition	Zihu Wang*, Lingqiao Liu, Scott Ricardo Figueroa Weston, Samuel Tian, Peng Li	PDF	N/A
LaWa: Using Latent Space for In-Generation Image Watermarking	Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar, Arezou Fatemi, Yong Zhang*	PDF	N/A
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution	Mridul Khurana, Arka Daw, M. Maruf, Josef C. Uyeda, Wasila Dahdul, Caleb Charpentier, Yasin Bakış, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Wei-Lun Chao, Charles Stewart, Tanya Berger-Wolf, Anuj Karpatne	PDF	N/A
Markov Knowledge Distillation: Make Nasty Teachers trained by Self-undermining Knowledge Distillation Fully Distillable	En-hui Yang, Linfeng Ye*	PDF	N/A
Co-speech Gesture Video Generation with 3D Human Meshes	Aniruddha Mahapatra, Richa Mishra, Ziyi Chen, Boyang Ding, Renda Li, Shoulei Wang, Jun-Yan Zhu, Peng Chang, Mei Han, Jing Xiao	PDF	N/A
When and How do negative prompts take effect?	Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh*	PDF	N/A
GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views	Yaniv Wolf*, Amit Bracha, Ron Kimmel	PDF	N/A
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting	Jiezhi Yang, Khushi P Desai, Charles Packer, Harshil bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph E Gonzalez	PDF	N/A
Snuffy: Efficient Whole Slide Image Classifier	Hossein Jafarinia, Alireza Alipanah, Saeed Razavi, Nahal Mirzaie, Mohammad Hossein Rohban	PDF	N/A
Learning to Build by Building Your Own Instructions	Aaron T Walsman*, Muru Zhang, Adam Fishman, Ali Farhadi, Dieter Fox	PDF	N/A
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling	Wonho Bae, Jing Wang, Danica J. Sutherland*	PDF	N/A
BlenderAlchemy: Editing 3D Graphics with Vision-Language Models	Ian Huang*, Guandao Yang, Leonidas Guibas	PDF	N/A
DεpS: Delayed ε-Shrinking for Faster Once-For-All Training	Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo M Latapie, Myungjin Lee, Alexey Tumanov	PDF	N/A
Learning Depth from Focus in the Wild	Changyeon Won, Hae-Gon Jeon	PDF	N/A
Learning-Based Point Cloud Registration for 6D Object Pose Estimation in the Real World	Zheng Dang, Lizhou Wang, Yu Guo, Mathieu Salzmann	PDF	N/A
An End-to-End Transformer Model for Crowd Localization	Dingkang Liang, Wei Xu, Xiang Bai	PDF	N/A
Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network	Zhen Xing, Yijiang Chen, Zhixin Ling, Xiangdong Zhou, Yu Xiang	PDF	N/A
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection	Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai	PDF	N/A
Adaptive Co-Teaching for Unsupervised Monocular Depth Estimation	Weisong Ren, Lijun Wang, Yongri Piao, Miao Zhang, Huchuan Lu, Ting Liu	PDF	N/A
Fusing Local Similarities for Retrieval-Based 3D Orientation Estimation of Unseen Objects	Chen Zhao, Yinlin Hu, Mathieu Salzmann	PDF	N/A
Lidar Point Cloud Guided Monocular 3D Object Detection	Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai	PDF	N/A
Structural Causal 3D Reconstruction	Weiyang Liu, Zhen Liu, Liam Paull, Adrian Weller, Bernhard Schölkopf	PDF	N/A
3D Human Pose Estimation Using Möbius Graph Convolutional Networks	Niloofar Azizi, Horst Possegger, Emanuele Rodolà, Horst Bischof	PDF	N/A
Learning to Train a Point Cloud Reconstruction Network without Matching	Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu	PDF	N/A
PanoFormer: Panorama Transformer for Indoor 360° Depth Estimation	Zhijie Shen, Chunyu Lin, Kang Liao, Lang Nie, Zishuo Zheng, Yao Zhao	PDF	N/A
Self-supervised Human Mesh Recovery with Cross-Representation Alignment	Xuan Gong, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, David Doermann, Ziyan Wu	PDF	N/A
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction	Zerui Chen, Yana Hasson, Cordelia Schmid, Ivan Laptev	PDF	N/A
A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation	Yiming Qian, James H. Elder	PDF	N/A
PS-NeRF: Neural Inverse Rendering for Multi-View Photometric Stereo	Wenqi Yang, Guanying Chen, Chaofeng Chen, Zhenfang Chen, Kwan-Yee K. Wong	PDF	N/A
Share with Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency	Tom Monnier, Matthew Fisher, Alexei A. Efros, Mathieu Aubry	PDF	N/A
Towards Comprehensive Representation Enhancement in Semantics-Guided Self-Supervised Monocular Depth Estimation	Jingyuan Ma, Xiangyu Lei, Nan Liu, Xian Zhao, Shiliang Pu	PDF	N/A
AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture	Zhe Li, Zerong Zheng, Hongwen Zhang, Chaonan Ji, Yebin Liu	PDF	N/A
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers	Junhyeong Cho, Kim Youwang, Tae-Hyun Oh	PDF	N/A
GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping	Pan Ji, Qingan Yan, Yuxin Ma, Yi Xu	PDF	N/A
Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion	Zhiqiang Yan, Xiang Li, Kun Wang, Zhenyu Zhang, Jun Li, Jian Yang	PDF	N/A
GitNet: Geometric Prior-Based Transformation for Birds-Eye-View Segmentation	Shi Gong, Xiaoqing Ye, Xiao Tan, Jingdong Wang, Errui Ding, Yu Zhou, Xiang Bai	PDF	N/A
Learning Visibility for Robust Dense Human Body Estimation	Chun-Han Yao, Jimei Yang, Duygu Ceylan, Yi Zhou, Yang Zhou, Ming-Hsuan Yang	PDF	N/A
Towards High-Fidelity Single-View Holistic Reconstruction of Indoor Scenes	Haolin Liu, Yujian Zheng, Guanying Chen, Shuguang Cui, Xiaoguang Han	PDF	N/A
CompNVS: Novel View Synthesis with Scene Completion	Zuoyue Li, Tianxing Fan, Zhenqiang Li, Zhaopeng Cui, Yoichi Sato, Marc Pollefeys, Martin R. Oswald	PDF	N/A
SketchSampler: Sketch-Based 3D Reconstruction via View-Dependent Depth Sampling	Chenjian Gao, Qian Yu, Lu Sheng, Yi-Zhe Song, Dong Xu	PDF	N/A
LocalBins: Improving Depth Estimation by Learning Local Distributions	Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka	PDF	N/A
2D GANs Meet Unsupervised Single-View 3D Reconstruction	Feng Liu, Xiaoming Liu	PDF	N/A
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images	Zhengqi Li, Qianqian Wang, Noah Snavely, Angjoo Kanazawa	PDF	N/A
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors	Zhen Xing, Hengduo Li, Zuxuan Wu, Yu-Gang Jiang	PDF	N/A
Bilateral Normal Integration	Xu Cao, Hiroaki Santo, Boxin Shi, Fumio Okura, Yasuyuki Matsushita	PDF	N/A
S2Contact: Graph-Based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning	Tze Ho Elden Tse, Zhongqun Zhang, Kwang In Kim, Aleš Leonardis, Feng Zheng, Hyung Jin Chang	PDF	N/A
SC-wLS: Towards Interpretable Feed-Forward Camera Re-localization	Xin Wu, Hao Zhao, Shunkai Li, Yingdian Cao, Hongbin Zha	PDF	N/A
FloatingFusion: Depth from ToF and Image-Stabilized Stereo Cameras	Andreas Meuleman, Hakyeong Kim, James Tompkin, Min H. Kim	PDF	N/A
DELTAR: Depth Estimation from a Light-Weight ToF Sensor and RGB Image	Yijin Li, Xinyang Liu, Wenqi Dong, Han Zhou, Hujun Bao, Guofeng Zhang, Yinda Zhang, Zhaopeng Cui	PDF	N/A
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform	Yining Zhao, Chao Wen, Zhou Xue, Yue Gao	PDF	N/A
RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation	Ruida Zhang, Yan Di, Zhiqiang Lou, Fabian Manhardt, Federico Tombari, Xiangyang Ji	PDF	N/A
Monocular 3D Object Reconstruction with GAN Inversion	Junzhe Zhang, Daxuan Ren, Zhongang Cai, Chai Kiat Yeo, Bo Dai, Chen Change Loy	PDF	N/A
Map-Free Visual Relocalization: Metric Pose Relative to a Single Image	Eduardo Arnold, Jamie Wynn, Sara Vicente, Guillermo Garcia-Hernando, Aron Monszpart, Victor Prisacariu, Daniyar Turmukhambetov, Eric Brachmann	PDF	N/A
Self-Distilled Feature Aggregation for Self-Supervised Monocular Depth Estimation	Zhengming Zhou, Qiulei Dong	PDF	N/A
Planes vs. Chairs: Category-Guided 3D Shape Learning without Any 3D Cues	Zixuan Huang, Stefan Stojanov, Anh Thai, Varun Jampani, James M. Rehg	PDF	N/A
MHR-Net: Multiple-Hypothesis Reconstruction of Non-rigid Shapes from 2D Views	Haitian Zeng, Xin Yu, Jiaxu Miao, Yi Yang	PDF	N/A
Depth Map Decomposition for Monocular Depth Estimation	Jinyoung Jun, Jae-Han Lee, Chul Lee, Chang-Su Kim	PDF	N/A
Monitored Distillation for Positive Congruent Depth Completion	Tian Yu Liu, Parth Agrawal, Allison Chen, Byung-Woo Hong, Alex Wong	PDF	N/A
Resolution-Free Point Cloud Sampling Network with Data Distillation	Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu	PDF	N/A
Organic Priors in Non-rigid Structure from Motion	Suryansh Kumar, Luc Van Gool	PDF	N/A
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation	Yinlin Hu, Pascal Fua, Mathieu Salzmann	PDF	N/A
DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks	Shih-Yang Su, Timur Bagautdinov, Helge Rhodin	PDF	N/A
"CHORE: Contact, Human and Object REconstruction from a Single RGB Image"	Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll	PDF	N/A
Learned Vertex Descent: A New Direction for 3D Human Model Fitting	Enric Corona, Gerard Pons-Moll, Guillem Alenyà, Francesc Moreno-Noguer	PDF	N/A
Self-Calibrating Photometric Stereo by Neural Inverse Rendering	Junxuan Li, Hongdong Li	PDF	N/A
3D Clothed Human Reconstruction in the Wild	Gyeongsik Moon, Hyeongjin Nam, Takaaki Shiratori, Kyoung Mu Lee	PDF	N/A
Directed Ray Distance Functions for 3D Scene Reconstruction	Nilesh Kulkarni, Justin Johnson, David F. Fouhey	PDF	N/A
Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation from Monocular RGB Image	Zhaoxin Fan, Zhenbo Song, Jian Xu, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He	PDF	N/A
Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression	Dongting Hu, Liuhua Peng, Tingjin Chu, Xiaoxing Zhang, Yinian Mao, Howard Bondell, Mingming Gong	PDF	N/A
CostDCNet: Cost Volume Based Depth Completion for a Single RGB-D Image	Jaewon Kam, Jungeon Kim, Soongjin Kim, Jaesik Park, Seungyong Lee	PDF	N/A
"ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization"	Muhammad Zubair Irshad, Sergey Zakharov, Rareș Ambruș, Thomas Kollar, Zsolt Kira, Adrien Gaidon	PDF	N/A
3D Siamese Transformer Network for Single Object Tracking on Point Clouds	Le Hui, Lingpeng Wang, Linghua Tang, Kaihao Lan, Jin Xie, Jian Yang	PDF	N/A
Object Wake-Up: 3D Object Rigging from a Single Image	Ji Yang, Xinxin Zuo, Sen Wang, Zhenbo Yu, Xingyu Li, Bingbing Ni, Minglun Gong, Li Cheng	PDF	N/A
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-View Human Reconstruction	Kennard Yanting Chan, Guosheng Lin, Haiyu Zhao, Weisi Lin	PDF	N/A
Realistic One-Shot Mesh-Based Head Avatars	Taras Khakhulin, Vanessa Sklyarova, Victor Lempitsky, Egor Zakharov	PDF	N/A
A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks	Martha Paskin, Daniel Baum, Mason N. Dean, Christoph von Tycowicz	PDF	N/A
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion	Zian Wang, Wenzheng Chen, David Acuna, Jan Kautz, Sanja Fidler	PDF	N/A
Perspective Phase Angle Model for Polarimetric 3D Reconstruction	Guangcheng Chen, Li He, Yisheng Guan, Hong Zhang	PDF	N/A
DeepShadow: Neural Shape from Shadow	Asaf Karnieli, Ohad Fried, Yacov Hel-Or	PDF	N/A
Camera Auto-Calibration from the Steiner Conic of the Fundamental Matrix	Yu Liu, Hui Zhang	PDF	N/A
Super-Resolution 3D Human Shape from a Single Low-Resolution Image	Marco Pesavento, Marco Volino, Adrian Hilton	PDF	N/A
Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion	Weng Fei Low, Gim Hee Lee	PDF	N/A
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing	Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Junzhe Zhang	PDF	N/A
CATRE: Iterative Point Clouds Alignment for Category-Level Object Pose Refinement	Xingyu Liu, Gu Wang, Yi Li, Xiangyang Ji	PDF	N/A
Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation	Jingyu Gong, Fengqi Liu, Jiachen Xu, Min Wang, Xin Tan, Zhizhong Zhang, Ran Yi, Haichuan Song, Yuan Xie, Lizhuang Ma	PDF	N/A
Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction	Haocheng Yuan, Chen Zhao, Shichao Fan, Jiaxi Jiang, Jiaqi Yang	PDF	N/A
MvDeCor: Multi-View Dense Correspondence Learning for Fine-Grained 3D Segmentation	Gopal Sharma, Kangxue Yin, Subhransu Maji, Evangelos Kalogerakis, Or Litany, Sanja Fidler	PDF	N/A
SUPR: A Sparse Unified Part-Based Human Representation	Ahmed A. A. Osman, Timo Bolkart, Dimitrios Tzionas, Michael J. Black	PDF	N/A
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach	Rolandos Alexandros Potamias, Giorgos Bouritsas, Stefanos Zafeiriou	PDF	N/A
Masked Autoencoders for Point Cloud Self-Supervised Learning	Yatian Pang, Wenxiao Wang, Francis E.H. Tay, Wei Liu, Yonghong Tian, Li Yuan	PDF	N/A
Intrinsic Neural Fields: Learning Functions on Manifolds	Lukas Koestler, Daniel Grittner, Michael Moeller, Daniel Cremers, Zorah Lähner	PDF	N/A
Skeleton-Free Pose Transfer for Stylized 3D Characters	Zhouyingcheng Liao, Jimei Yang, Jun Saito, Gerard Pons-Moll, Yang Zhou	PDF	N/A
Masked Discrimination for Self-Supervised Learning on Point Clouds	Haotian Liu, Mu Cai, Yong Jae Lee	PDF	N/A
FBNet: Feedback Network for Point Cloud Completion	Xuejun Yan, Hongyu Yan, Jingjing Wang, Hang Du, Zhihong Wu, Di Xie, Shiliang Pu, Li Lu	PDF	N/A
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds	Ta-Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham	PDF	N/A
A Level Set Theory for Neural Implicit Evolution under Explicit Flows	Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi	PDF	N/A
Efficient Point Cloud Analysis Using Hilbert Curve	Wanli Chen, Xinge Zhu, Guojin Chen, Bei Yu	PDF	N/A
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement	Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll	PDF	N/A
LaTeRF: Label and Text Driven Object Radiance Fields	Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski	PDF	N/A
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis	Yaqian Liang, Shanshan Zhao, Baosheng Yu, Jing Zhang, Fazhi He	PDF	N/A
Unsupervised Deep Multi-Shape Matching	Dongliang Cao, Florian Bernard	PDF	N/A
Texturify: Generating Textures on 3D Shape Surfaces	Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai	PDF	N/A
Autoregressive 3D Shape Generation via Canonical Mapping	An-Chieh Cheng, Xueting Li, Sifei Liu, Min Sun, Ming-Hsuan Yang	PDF	N/A
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees	Jun-Kun Chen, Yu-Xiong Wang	PDF	N/A
UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation	Shenhan Qian, Jiale Xu, Ziwei Liu, Liqian Ma, Shenghua Gao	PDF	N/A
PRIF: Primary Ray-Based Implicit Function	Brandon Y. Feng, Yinda Zhang, Danhang Tang, Ruofei Du, Amitabh Varshney	PDF	N/A
Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction	Hanxue Liang, Hehe Fan, Zhiwen Fan, Yi Wang, Tianlong Chen, Yu Cheng, Zhangyang Wang	PDF	N/A
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes	Kim Youwang, Kim Ji-Yeon, Tae-Hyun Oh	PDF	N/A
PlaneFormers: From Sparse View Planes to 3D Reconstruction	Samir Agarwala, Linyi Jin, Chris Rockwell, David F. Fouhey	PDF	N/A
Learning Implicit Templates for Point-Based Clothed Human Modeling	Siyou Lin, Hongwen Zhang, Zerong Zheng, Ruizhi Shao, Yebin Liu	PDF	N/A
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks	Qianjiang Hu, Daizong Liu, Wei Hu	PDF	N/A
Structure-Aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation	Jingwang Ling, Zhibo Wang, Ming Lu, Quan Wang, Chen Qian, Feng Xu	PDF	N/A
MoFaNeRF: Morphable Facial Neural Radiance Field	Yiyu Zhuang, Hao Zhu, Xusen Sun, Xun Cao	PDF	N/A
PointInst3D: Segmenting 3D Instances by Points	Tong He, Wei Yin, Chunhua Shen, Anton van den Hengel	PDF	N/A
Cross-Modal 3D Shape Generation and Manipulation	Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov	PDF	N/A
Latent Partition Implicit with Surface Codes for 3D Representation	Chao Chen, Yu-Shen Liu, Zhizhong Han	PDF	N/A
Implicit Field Supervision for Robust Non-rigid Shape Matching	Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov	PDF	N/A
Learning Self-Prior for Mesh Denoising Using Dual Graph Convolutional Networks	Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki	PDF	N/A
diffConv: Analyzing Irregular Point Clouds with an Irregular View	Manxi Lin, Aasa Feragen	PDF	N/A
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows	Aihua Mao, Zihui Du, Yu-Hui Wen, Jun Xuan, Yong-Jin Liu	PDF	N/A
SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer	Haoran Zhou, Yun Cao, Wenqing Chu, Junwei Zhu, Tong Lu, Ying Tai, Chengjie Wang	PDF	N/A
DeepMend: Learning Occupancy Functions to Represent Shape for Repair	Nikolas Lamb, Sean Banerjee, Natasha Kholgade Banerjee	PDF	N/A
A Repulsive Force Unit for Garment Collision Handling in Neural Networks	Qingyang Tan, Yi Zhou, Tuanfeng Wang, Duygu Ceylan, Xin Sun, Dinesh Manocha	PDF	N/A
Shape-Pose Disentanglement Using SE(3)-Equivariant Vector Neurons	Oren Katzir, Dani Lischinski, Daniel Cohen-Or	PDF	N/A
3D Equivariant Graph Implicit Functions	Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves	PDF	N/A
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation	Bo Sun, Vladimir G. Kim, Noam Aigerman, Qixing Huang, Siddhartha Chaudhuri	PDF	N/A
3D Shape Sequence of Human Comparison and Classification Using Current and Varifolds	Emery Pierson, Mohamed Daoudi, Sylvain Arguillere	PDF	N/A
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification	Jianxiong Shen, Antonio Agudo, Francesc Moreno-Noguer, Adria Ruiz	PDF	N/A
Unsupervised Pose-Aware Part Decomposition for Man-Made Articulated Objects	Yuki Kawana, Yusuke Mukuta, Tatsuya Harada	PDF	N/A
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks	Benoît Guillard, Federico Stella, Pascal Fua	PDF	N/A
SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement	Zhaofan Qiu, Yehao Li, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei	PDF	N/A
The Shape Part Slot Machine: Contact-Based Reasoning for Generating 3D Shapes from Parts	Kai Wang, Paul Guerrero, Vladimir G. Kim, Siddhartha Chaudhuri, Minhyuk Sung, Daniel Ritchie	PDF	N/A
Spatiotemporal Self-Attention Modeling with Temporal Patch Shift for Action Recognition	Wangmeng Xiang, Chao Li, Biao Wang, Xihan Wei, Xian-Sheng Hua, Lei Zhang	PDF	N/A
Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning	Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang	PDF	N/A
Semi-Supervised Temporal Action Detection with Proposal-Free Masking	Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang	PDF	N/A
Zero-Shot Temporal Action Detection via Vision-Language Prompting	Sauradip Nag, Xiatian Zhu, Yi-Zhe Song, Tao Xiang	PDF	N/A
CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video	Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof	PDF	N/A
S2N: Suppression-Strengthen Network for Event-Based Recognition under Variant Illuminations	Zengyu Wan, Yang Wang, Ganchao Tan, Yang Cao, Zheng-Jun Zha	PDF	N/A
CMD: Self-Supervised 3D Action Representation Learning with Cross-Modal Mutual Distillation	Yunyao Mao, Wengang Zhou, Zhenbo Lu, Jiajun Deng, Houqiang Li	PDF	N/A
Expanding Language-Image Pretrained Models for General Video Recognition	Bolin Ni, Houwen Peng, Minghao Chen, Songyang Zhang, Gaofeng Meng, Jianlong Fu, Shiming Xiang, Haibin Ling	PDF	N/A
Hunting Group Clues with Transformers for Social Group Activity Recognition	Masato Tamura, Rahul Vishwakarma, Ravigopal Vennelakanti	PDF	N/A
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning	Haoyuan Zhang, Yonghong Hou, Wenjing Zhang, Wanqing Li	PDF	N/A
Target-Absent Human Attention	Zhibo Yang, Sounak Mondal, Seoyoung Ahn, Gregory Zelinsky, Minh Hoai, Dimitris Samaras	PDF	N/A
Uncertainty-Based Spatial-Temporal Attention for Online Action Detection	Hongji Guo, Zhou Ren, Yi Wu, Gang Hua, Qiang Ji	PDF	N/A
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows	Danyang Tu, Xiongkuo Min, Huiyu Duan, Guodong Guo, Guangtao Zhai, Wei Shen	PDF	N/A
Rethinking Zero-Shot Action Recognition: Learning from Latent Atomic Actions	Yijun Qian, Lijun Yu, Wenhe Liu, Alexander G. Hauptmann	PDF	N/A
Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection	Xiaoqian Wu, Yong-Lu Li, Xinpeng Liu, Junyi Zhang, Yuzhe Wu, Cewu Lu	PDF	N/A
Collaborating Domain-Shared and Target-Specific Feature Clustering for Cross-Domain 3D Action Recognition	Qinying Liu, Zilei Wang	PDF	N/A
Is Appearance Free Action Recognition Possible?	Filip Ilic, Thomas Pock, Richard P. Wildes	PDF	N/A
Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition	Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu	PDF	N/A
Dual-Evidential Learning for Weakly-Supervised Temporal Action Localization	Mengyuan Chen, Junyu Gao, Shicai Yang, Changsheng Xu	PDF	N/A
Global-Local Motion Transformer for Unsupervised Skeleton-Based Action Learning	Boeun Kim, Hyung Jin Chang, Jungho Kim, Jin Young Choi	PDF	N/A
AdaFocusV3: On Unified Spatial-Temporal Dynamic Video Recognition	Yulin Wang, Yang Yue, Xinhong Xu, Ali Hassani, Victor Kulikov, Nikita Orlov, Shiji Song, Humphrey Shi, Gao Huang	PDF	N/A
Panoramic Human Activity Recognition	Ruize Han, Haomin Yan, Jiacheng Li, Songmiao Wang, Wei Feng, Song Wang	PDF	N/A
Delving into Details: Synopsis-to-Detail Networks for Video Recognition	Shuxian Liang, Xu Shen, Jianqiang Huang, Xian-Sheng Hua	PDF	N/A
A Generalized & Robust Framework for Timestamp Supervision in Temporal Action Segmentation	Rahul Rahaman, Dipika Singhania, Alexandre Thiery, Angela Yao	PDF	N/A
Few-Shot Action Recognition with Hierarchical Matching and Contrastive Learning	Sipeng Zheng, Shizhe Chen, Qin Jin	PDF	N/A
PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens	Carlos Hinojosa, Miguel Marquez, Henry Arguello, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles	PDF	N/A
Scale-Aware Spatio-Temporal Relation Learning for Video Anomaly Detection	Guoqiu Li, Guanxiong Cai, Xingyu Zeng, Rui Zhao	PDF	N/A
Compound Prototype Matching for Few-Shot Action Recognition	Yifei Huang, Lijin Yang, Yoichi Sato	PDF	N/A
Continual 3D Convolutional Neural Networks for Real-Time Processing of Videos	Lukas Hedegaard, Alexandros Iosifidis	PDF	N/A
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition	Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu	PDF	N/A
Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection	Zhiwei Yang, Peng Wu, Jing Liu, Xiaotao Liu	PDF	N/A
Action Quality Assessment with Temporal Parsing Transformer	Yang Bai, Desen Zhou, Songyang Zhang, Jian Wang, Errui Ding, Yu Guan, Yang Long, Jingdong Wang	PDF	N/A
Entry-Flipped Transformer for Inference and Prediction of Participant Behavior	Bo Hu, Tat-Jen Cham	PDF	N/A
Pairwise Contrastive Learning Network for Action Quality Assessment	Mingzhe Li, Hong-Bo Zhang, Qing Lei, Zongwen Fan, Jinghua Liu, Ji-Xiang Du	PDF	N/A
Geometric Features Informed Multi-Person Human-Object Interaction Recognition in Videos	Tanqiu Qiao, Qianhui Men, Frederick W. B. Li, Yoshiki Kubotani, Shigeo Morishima, Hubert P. H. Shum	PDF	N/A
ActionFormer: Localizing Moments of Actions with Transformers	Chen-Lin Zhang, Jianxin Wu, Yin Li	PDF	N/A
SocialVAE: Human Trajectory Prediction Using Timewise Latents	Pei Xu, Jean-Bernard Hayet, Ioannis Karamouzas	PDF	N/A
Shape Matters: Deformable Patch Attack	Zhaoyu Chen, Bo Li, Shuang Wu, Jianghe Xu, Shouhong Ding, Wenqiang Zhang	PDF	N/A
Frequency Domain Model Augmentation for Adversarial Attack	Yuyang Long, Qilong Zhang, Boheng Zeng, Lianli Gao, Xianglong Liu, Jian Zhang, Jingkuan Song	PDF	N/A
Prior-Guided Adversarial Initialization for Fast Adversarial Training	Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao	PDF	N/A
Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation	Shiji Zhao, Jie Yu, Zhenlong Sun, Bo Zhang, Xingxing Wei	PDF	N/A
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity	Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen	PDF	N/A
A Large-Scale Multiple-Objective Method for Black-Box Attack against Object Detection	Siyuan Liang, Longkang Li, Yanbo Fan, Xiaojun Jia, Jingzhi Li, Baoyuan Wu, Xiaochun Cao	PDF	N/A
GradAuto: Energy-Oriented Attack on Dynamic Neural Networks	Jianhong Pan, Qichen Zheng, Zhipeng Fan, Hossein Rahmani, Qiuhong Ke, Jun Liu	PDF	N/A
A Spectral View of Randomized Smoothing under Common Corruptions: Benchmarking and Improving Certified Robustness	Jiachen Sun, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, Z. Morley Mao	PDF	N/A
Improving Adversarial Robustness of 3D Point Cloud Classification Models	Guanlin Li, Guowen Xu, Han Qiu, Ruan He, Jiwei Li, Tianwei Zhang	PDF	N/A
Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number	Xian Wei, Yangyu Xu, Yanhui Huang, Hairong Lv, Hai Lan, Mingsong Chen, Xuan Tang	PDF	N/A
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN	Huy Phan, Cong Shi, Yi Xie, Tianfang Zhang, Zhuohang Li, Tianming Zhao, Jian Liu, Yan Wang, Yingying Chen, Bo Yuan	PDF	N/A
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks	Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu	PDF	N/A
Adaptive Image Transformations for Transfer-Based Adversarial Attack	Zheng Yuan, Jie Zhang, Shiguang Shan	PDF	N/A
Generative Multiplane Images: Making a 2D GAN 3D-Aware	Xiaoming Zhao, Fangchang Ma, David Güera, Zhile Ren, Alexander G. Schwing, Alex Colburn	PDF	N/A
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction	Yulong Cao, Chaowei Xiao, Anima Anandkumar, Danfei Xu, Marco Pavone	PDF	N/A
Adversarial Contrastive Learning via Asymmetric InfoNCE	Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu	PDF	N/A
One Size Does NOT Fit All: Data-Adaptive Adversarial Training	Shuo Yang, Chang Xu	PDF	N/A
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing	Hanbin Hong, Binghui Wang, Yuan Hong	PDF	N/A
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips	Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu	PDF	N/A
Robust Network Architecture Search via Feature Distortion Restraining	Yaguan Qian, Shenghui Huang, Bin Wang, Xiang Ling, Xiaohui Guan, Zhaoquan Gu, Shaoning Zeng, Wujie Zhou, Haijiang Wang	PDF	N/A
SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination	Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li	PDF	N/A
Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack	Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu	PDF	N/A
Data-Free Backdoor Removal Based on Channel Lipschitzness	Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu	PDF	N/A
Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack	Yixu Wang, Jie Li, Hong Liu, Yan Wang, Yongjian Wu, Feiyue Huang, Rongrong Ji	PDF	N/A
Learning Energy-Based Models with Adversarial Training	Xuwang Yin, Shiying Li, Gustavo K. Rohde	PDF	N/A
Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation	Ganlin Liu, Xiaowei Huang, Xinping Yi	PDF	N/A
Revisiting Outer Optimization in Adversarial Training	Ali Dabouei, Fariborz Taherkhani, Sobhan Soleymani, Nasser M. Nasrabadi	PDF	N/A
Zero-Shot Attribute Attacks on Fine-Grained Recognition Models	Nasim Shafiee, Ehsan Elhamifar	PDF	N/A
Towards Effective and Robust Neural Trojan Defenses via Input Filtering	Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh	PDF	N/A
Scaling Adversarial Training to Large Perturbation Bounds	Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan, R. Venkatesh Babu	PDF	N/A
Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack	Hoang Tran, Dan Lu, Guannan Zhang	PDF	N/A
Generative Domain Adaptation for Face Anti-Spoofing	Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Ran Yi, Kekai Sheng, Shouhong Ding, Lizhuang Ma	PDF	N/A
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition	Huanzhang Dou, Pengyi Zhang, Wei Su, Yunlong Yu, Xi Li	PDF	N/A
GaitEdge: Beyond Plain End-to-End Gait Recognition for Better Practicality	Junhao Liang, Chao Fan, Saihui Hou, Chuanfu Shen, Yongzhen Huang, Shiqi Yu	PDF	N/A
UIA-ViT: Unsupervised Inconsistency-Aware Method Based on Vision Transformer for Face Forgery Detection	Wanyi Zhuang, Qi Chu, Zhentao Tan, Qiankun Liu, Haojie Yuan, Changtao Miao, Zixiang Luo, Nenghai Yu	PDF	N/A
Effective Presentation Attack Detection Driven by Face Related Task	Wentian Zhang, Haozhe Liu, Feng Liu, Raghavendra Ramachandra, Christoph Busch	PDF	N/A
PPT: Token-Pruned Pose Transformer for Monocular and Multi-View Human Pose Estimation	Haoyu Ma, Zhe Wang, Yifei Chen, Deying Kong, Liangjian Chen, Xingwei Liu, Xiangyi Yan, Hao Tang, Xiaohui Xie	PDF	N/A
AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing	Jiaxi Jiang, Paul Streli, Huajian Qiu, Andreas Fender, Larissa Laich, Patrick Snape, Christian Holz	PDF	N/A
P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation	Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao	PDF	N/A
D&D: Learning Human Dynamics from Dynamic Camera	Jiefeng Li, Siyuan Bian, Chao Xu, Gang Liu, Gang Yu, Cewu Lu	PDF	N/A
Explicit Occlusion Reasoning for Multi-Person 3D Human Pose Estimation	Qihao Liu, Yi Zhang, Song Bai, Alan Yuille	PDF	N/A
COUCH: Towards Controllable Human-Chair Interactions	Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Vladimir Guzov, Gerard Pons-Moll	PDF	N/A
Identity-Aware Hand Mesh Estimation and Personalization from RGB Images	Deying Kong, Linguang Zhang, Liangjian Chen, Haoyu Ma, Xiangyi Yan, Shanlin Sun, Xingwei Liu, Kun Han, Xiaohui Xie	PDF	N/A
C3P: Cross-Domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation	Cunlin Wu, Yang Xiao, Boshen Zhang, Mingyang Zhang, Zhiguo Cao, Joey Tianyi Zhou	PDF	N/A
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields	Garvita Tiwari, Dimitrije Antić, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll	PDF	N/A
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation	Zhihao Li, Jianzhuang Liu, Zhensong Zhang, Songcen Xu, Youliang Yan	PDF	N/A
DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimation	Ailing Zeng, Xuan Ju, Lei Yang, Ruiyuan Gao, Xizhou Zhu, Bo Dai, Qiang Xu	PDF	N/A
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos	Ailing Zeng, Lei Yang, Xuan Ju, Jiefeng Li, Jianyi Wang, Qiang Xu	PDF	N/A
PoseTrans: A Simple yet Effective Pose Transformation Augmentation for Human Pose Estimation	Wentao Jiang, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Si Liu	PDF	N/A
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement	Junuk Cha, Muhammad Saqlain, GeonU Kim, Mingyu Shin, Seungryul Baek	PDF	N/A
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction	Xiaoning Sun, Qiongjie Cui, Huaijiang Sun, Bin Li, Weiqing Li, Jianfeng Lu	PDF	N/A
Structural Triangulation: A Closed-Form Solution to Constrained 3D Human Pose Estimation	Zhuo Chen, Xu Zhao, Xiaoyue Wan	PDF	N/A
Audio-Driven Stylized Gesture Generation with Flow-Based Model	Sheng Ye, Yu-Hui Wen, Yanan Sun, Ying He, Ziyang Zhang, Yaoyuan Wang, Weihua He, Yong-Jin Liu	PDF	N/A
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation	Zhehan Kan, Shuoshuo Chen, Zeng Li, Zhihai He	PDF	N/A
UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture	Hiroyasu Akada, Jian Wang, Soshi Shimada, Masaki Takahashi, Christian Theobalt, Vladislav Golyanik	PDF	N/A
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction	Maosen Li, Siheng Chen, Zijing Zhang, Lingxi Xie, Qi Tian, Ya Zhang	PDF	N/A
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation	William McNally, Kanav Vats, Alexander Wong, John McPhee	PDF	N/A
VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data	Jiajun Su, Chunyu Wang, Xiaoxuan Ma, Wenjun Zeng, Yizhou Wang	PDF	N/A
Poseur: Direct Human Pose Regression with Transformers	Weian Mao, Yongtao Ge, Chunhua Shen, Zhi Tian, Xinlong Wang, Zhibin Wang, Anton van den Hengel	PDF	N/A
SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation	Yanjie Li, Sen Yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia	PDF	N/A
Regularizing Vector Embedding in Bottom-Up Human Pose Estimation	Haixin Wang, Lu Zhou, Yingying Chen, Ming Tang, Jinqiao Wang	PDF	N/A
A Visual Navigation Perspective for Category-Level Object Pose Estimation	Jiaxin Guo, Fangxun Zhong, Rong Xiong, Yun-Hui Liu, Yue Wang, Yiyi Liao	PDF	N/A
Faster VoxelPose: Real-Time 3D Human Pose Estimation by Orthographic Projection	Hang Ye, Wentao Zhu, Chunyu Wang, Rujie Wu, Yizhou Wang	PDF	N/A
Learning to Fit Morphable Models	Vasileios Choutas, Federica Bogo, Jingjing Shen, Julien Valentin	PDF	N/A
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices	Siwei Zhang, Qianli Ma, Yan Zhang, Zhiyin Qian, Taein Kwon, Marc Pollefeys, Federica Bogo, Siyu Tang	PDF	N/A
Grasp’D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands	Dylan Turpin, Liquan Wang, Eric Heiden, Yun-Chun Chen, Miles Macklin, Stavros Tsogkas, Sven Dickinson, Animesh Garg	PDF	N/A
AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling	Ziqian Bai, Timur Bagautdinov, Javier Romero, Michael Zollhöfer, Ping Tan, Shunsuke Saito	PDF	N/A
Deep Radial Embedding for Visual Sequence Learning	Yuecong Min, Peiqi Jiao, Yanan Li, Xiaotao Wang, Lei Lei, Xiujuan Chai, Xilin Chen	PDF	N/A
SAGA: Stochastic Whole-Body Grasping with Contact	Yan Wu, Jiahao Wang, Yan Zhang, Siwei Zhang, Otmar Hilliges, Fisher Yu, Siyu Tang	PDF	N/A
Neural Capture of Animatable 3D Human from Monocular Video	Gusi Te, Xiu Li, Xiao Li, Jinglu Wang, Wei Hu, Yan Lu	PDF	N/A
General Object Pose Transformation Network from Unpaired Data	Yukun Su, Guosheng Lin, Ruizhou Sun, Qingyao Wu	PDF	N/A
Compositional Human-Scene Interaction Synthesis with Semantic Control	Kaifeng Zhao, Shaofei Wang, Yan Zhang, Thabo Beeler, Siyu Tang	PDF	N/A
PressureVision: Estimating Hand Pressure from a Single RGB Image	Patrick Grady, Chengcheng Tang, Samarth Brahmbhatt, Christopher D. Twigg, Chengde Wan, James Hays, Charles C. Kemp	PDF	N/A
PoseScript: 3D Human Poses from Natural Language	Ginger Delmas, Philippe Weinzaepfel, Thomas Lucas, Francesc Moreno-Noguer, Grégory Rogez	PDF	N/A
DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation	Jaewoo Park, Nam Ik Cho	PDF	N/A
3D Interacting Hand Pose Estimation by Hand De-Occlusion and Removal	Hao Meng, Sheng Jin, Wentao Liu, Chen Qian, Mengxiang Lin, Wanli Ouyang, Ping Luo	PDF	N/A
Pose for Everything: Towards Category-Agnostic Pose Estimation	Lumin Xu, Sheng Jin, Wang Zeng, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo, Xiaogang Wang	PDF	N/A
PoseGPT: Quantization-Based 3D Human Motion Generation and Forecasting	Thomas Lucas, Fabien Baradel, Philippe Weinzaepfel, Grégory Rogez	PDF	N/A
DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation	Linzhi Huang, Jiahao Liang, Weihong Deng	PDF	N/A
Estimating Spatially-Varying Lighting in Urban Scenes with Disentangled Representation	Jiajun Tang, Yongjie Zhu, Haoyu Wang, Jun Hoong Chan, Si Li, Boxin Shi	PDF	N/A
Boosting Event Stream Super-Resolution with a Recurrent Neural Network	Wenming Weng, Yueyi Zhang, Zhiwei Xiong	PDF	N/A
Projective Parallel Single-Pixel Imaging to Overcome Global Illumination in 3D Structure Light Scanning	Yuxi Li, Huijie Zhao, Hongzhi Jiang, Xudong Li	PDF	N/A
Semantic-Sparse Colorization Network for Deep Exemplar-Based Colorization	Yunpeng Bai, Chao Dong, Zenghao Chai, Andong Wang, Zhengzhuo Xu, Chun Yuan	PDF	N/A
Practical and Scalable Desktop-Based High-Quality Facial Capture	Alexandros Lattas, Yiming Lin, Jayanth Kannan, Ekin Ozturk, Luca Filipi, Giuseppe Claudio Guarnera, Gaurav Chawla, Abhijeet Ghosh	PDF	N/A
FAST-VQA: Efficient End-to-End Video Quality Assessment with Fragment Sampling	Haoning Wu, Chaofeng Chen, Jingwen Hou, Liang Liao, Annan Wang, Wenxiu Sun, Qiong Yan, Weisi Lin	PDF	N/A
Physically-Based Editing of Indoor Scene Lighting from a Single Image	Zhengqin Li, Jia Shi, Sai Bi, Rui Zhu, Kalyan Sunkavalli, Miloš Hašan, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker	PDF	N/A
LEDNet: Joint Low-Light Enhancement and Deblurring in the Dark	Shangchen Zhou, Chongyi Li, Chen Change Loy	PDF	N/A
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects	Juewen Peng, Jianming Zhang, Xianrui Luo, Hao Lu, Ke Xian, Zhiguo Cao	PDF	N/A
Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset	Huanjing Yue, Zhiming Zhang, Jingyu Yang	PDF	N/A
Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild	Ardhendu Shekhar Tripathi, Martin Danelljan, Samarth Shukla, Radu Timofte, Luc Van Gool	PDF	N/A
Learning Deep Non-Blind Image Deconvolution without Ground Truths	Yuhui Quan, Zhuojie Chen, Huan Zheng, Hui Ji	PDF	N/A
NEST: Neural Event Stack for Event-Based Image Enhancement	Minggui Teng, Chu Zhou, Hanyue Lou, Boxin Shi	PDF	N/A
Editable Indoor Lighting Estimation	Henrique Weber, Mathieu Garon, Jean-François Lalonde	PDF	N/A
Fast Two-Step Blind Optical Aberration Correction	Thomas Eboli, Jean-Michel Morel, Gabriele Facciolo	PDF	N/A
Seeing Far in the Dark with Patterned Flash	Zhanghao Sun, Jian Wang, Yicheng Wu, Shree Nayar	PDF	N/A
PseudoClick: Interactive Image Segmentation with Click Imitation	Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, Ziyan Wu	PDF	N/A
CT2: Colorization Transformer via Color Tokens	Shuchen Weng, Jimeng Sun, Yu Li, Si Li, Boxin Shi	PDF	N/A
Simple Baselines for Image Restoration	Liangyu Chen, Xiaojie Chu, Xiangyu Zhang, Jian Sun	PDF	N/A
Spike Transformer: Monocular Depth Estimation for Spiking Camera	Jiyuan Zhang, Lulu Tang, Zhaofei Yu, Jiwen Lu, Tiejun Huang	PDF	N/A
Improving Image Restoration by Revisiting Global Information Aggregation	Xiaojie Chu, Liangyu Chen, Chengpeng Chen, Xin Lu	PDF	N/A
Data Association between Event Streams and Intensity Frames under Diverse Baselines	Dehao Zhang, Qiankun Ding, Peiqi Duan, Chu Zhou, Boxin Shi	PDF	N/A
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration	Yuzhi Zhao, Yongzhe Xu, Qiong Yan, Dingdong Yang, Xuehui Wang, Lai-Man Po	PDF	N/A
Learning Graph Neural Networks for Image Style Transfer	Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao	PDF	N/A
DeepPS2: Revisiting Photometric Stereo Using Two Differently Illuminated Images	Ashish Tiwari, Shanmuganathan Raman	PDF	N/A
Instance Contour Adjustment via Structure-Driven CNN	Shuchen Weng, Yi Wei, Ming-Ching Chang, Boxin Shi	PDF	N/A
Synthesizing Light Field Video from Monocular Video	Shrisudhan Govindarajan, Prasan Shedligeri, Sarah, Kaushik Mitra	PDF	N/A
Human-Centric Image Cropping with Partition-Aware and Content-Preserving Features	Bo Zhang, Li Niu, Xing Zhao, Liqing Zhang	PDF	N/A
DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting	Jihyong Oh, Munchurl Kim	PDF	N/A
Neural Image Representations for Multi-Image Fusion and Layer Separation	Seonghyeon Nam, Marcus A. Brubaker, Michael S. Brown	PDF	N/A
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion	Zhihang Zhong, Mingdeng Cao, Xiao Sun, Zhirong Wu, Zhongyi Zhou, Yinqiang Zheng, Stephen Lin, Imari Sato	PDF	N/A
FILM: Frame Interpolation for Large Motion	Fitsum Reda, Janne Kontkanen, Eric Tabellion, Deqing Sun, Caroline Pantofaru, Brian Curless	PDF	N/A
Video Interpolation by Event-Driven Anisotropic Adjustment of Optical Flow	Song Wu, Kaichao You, Weihua He, Chen Yang, Yang Tian, Yaoyuan Wang, Ziyang Zhang, Jianxing Liao	PDF	N/A
EvAC3D: From Event-Based Apparent Contours to 3D Models via Continuous Visual Hulls	Ziyun Wang, Kenneth Chaney, Kostas Daniilidis	PDF	N/A
DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization	Ben Xue, Shenghui Ran, Quan Chen, Rongfei Jia, Binqiang Zhao, Xing Tang	PDF	N/A
SelectionConv: Convolutional Neural Networks for Non-Rectilinear Image Data	David Hart, Michael Whitney, Bryan Morse	PDF	N/A
Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization	Jingtang Liang, Xiaodong Cun, Chi-Man Pun, Jue Wang	PDF	N/A
BigColor: Colorization Using a Generative Color Prior for Natural Images	Geonung Kim, Kyoungkook Kang, Seongtae Kim, Hwayoon Lee, Sehoon Kim, Jonghyun Kim, Seung-Hwan Baek, Sunghyun Cho	PDF	N/A
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution	Cheeun Hong, Sungyong Baik, Heewon Kim, Seungjun Nah, Kyoung Mu Lee	PDF	N/A
Deep Semantic Statistics Matching (D2SM) Denoising Network	Kangfu Mei, Vishal M. Patel, Rui Huang	PDF	N/A
3D Scene Inference from Transient Histograms	Sacha Jungerman, Atul Ingle, Yin Li, Mohit Gupta	PDF	N/A
Neural Space-Filling Curves	Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava	PDF	N/A
Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging	An Gia Vien, Chul Lee	PDF	N/A
Seeing through a Black Box: Toward High-Quality Terahertz Imaging via Subspace-and-Attention Guided Restoration	Weng-Tai Su, Yi-Chun Hung, Po-Jen Yu, Shang-Hua Yang, Chia-Wen Lin	PDF	N/A
Tomography of Turbulence Strength Based on Scintillation Imaging	Nir Shaul, Yoav Y. Schechner	PDF	N/A
Realistic Blur Synthesis for Learning Image Deblurring	Jaesung Rim, Geonung Kim, Jungeon Kim, Junyong Lee, Seungyong Lee, Sunghyun Cho	PDF	N/A
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation	Zaid Tasneem, Giovanni Milione, Yi-Hsuan Tsai, Xiang Yu, Ashok Veeraraghavan, Manmohan Chandraker, Francesco Pittaluga	PDF	N/A
LWGNet – Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval	Atreyee Saha, Salman S. Khan, Sagar Sehrawat, Sanjana S. Prabhu, Shanti Bhattacharya, Kaushik Mitra	PDF	N/A
PANDORA: Polarization-Aided Neural Decomposition of Radiance	Akshat Dave, Yongyi Zhao, Ashok Veeraraghavan	PDF	N/A
HuMMan: Multi-modal 4D Human Dataset for Versatile Sensing and Modeling	Zhongang Cai, Daxuan Ren, Ailing Zeng, Zhengyu Lin, Tao Yu, Wenjia Wang, Xiangyu Fan, Yang Gao, Yifan Yu, Liang Pan, Fangzhou Hong, Mingyuan Zhang, Chen Change Loy, Lei Yang, Ziwei Liu	PDF	N/A
DVS-Voltmeter: Stochastic Process-Based Event Simulator for Dynamic Vision Sensors	Songnan Lin, Ye Ma, Zhenhua Guo, Bihan Wen	PDF	N/A
Benchmarking Omni-Vision Representation through the Lens of Visual Realms	Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu	PDF	N/A
BEAT: A Large-Scale Semantic and Emotional Multi-modal Dataset for Conversational Gestures Synthesis	Haiyang Liu, Zihao Zhu, Naoya Iwamoto, Yichen Peng, Zhengqing Li, You Zhou, Elif Bozkurt, Bo Zheng	PDF	N/A
Neuromorphic Data Augmentation for Training Spiking Neural Networks	Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda	PDF	N/A
CelebV-HQ: A Large-Scale Video Facial Attributes Dataset	Hao Zhu, Wayne Wu, Wentao Zhu, Liming Jiang, Siwei Tang, Li Zhang, Ziwei Liu, Chen Change Loy	PDF	N/A
MovieCuts: A New Dataset and Benchmark for Cut Type Recognition	Alejandro Pardo, Fabian Caba, Juan León Alcázar, Ali Thabet, Bernard Ghanem	PDF	N/A
LaMAR: Benchmarking Localization and Mapping for Augmented Reality	Paul-Edouard Sarlin, Mihai Dusmanu, Johannes L. Schönberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, Marc Pollefeys	PDF	N/A
"Unitail: Detecting, Reading, and Matching in Retail Scene"	Fangyi Chen, Han Zhang, Zaiwang Li, Jiachen Dou, Shentong Mo, Hao Chen, Yongxin Zhang, Uzair Ahmed, Chenchen Zhu, Marios Savvides	PDF	N/A
Not Just Streaks: Towards Ground Truth for Single Image Deraining	Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso M. de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi	PDF	N/A
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-Verified Image-Caption Associations for MS-COCO	Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang, Seong Joon Oh	PDF	N/A
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric	Malte Pedersen, Joakim Bruslund Haurum, Patrick Dendorfer, Thomas B. Moeslund	PDF	N/A
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?	Yuchi Liu, Zhongdao Wang, Tom Gedeon, Liang Zheng	PDF	N/A
A Real World Dataset for Multi-View 3D Reconstruction	Rakesh Shrestha, Siqi Hu, Minghao Gou, Ziyuan Liu, Ping Tan	PDF	N/A
REALY: Rethinking the Evaluation of 3D Face Reconstruction	Zenghao Chai, Haoxian Zhang, Jing Ren, Di Kang, Zhengzhuo Xu, Xuefei Zhe, Chun Yuan, Linchao Bao	PDF	N/A
"Capturing, Reconstructing, and Simulating: The UrbanScene3D Dataset"	Liqiang Lin, Yilin Liu, Yue Hu, Xingguang Yan, Ke Xie, Hui Huang	PDF	N/A
3D CoMPaT: Composition of Materials on Parts of 3D Things	Yuchen Li, Ujjwal Upadhyay, Habib Slim, Tezuesh Varshney, Ahmed Abdelreheem, Arpit Prajapati, Suhail Pothigara, Peter Wonka, Mohamed Elhoseiny	PDF	N/A
"PartImageNet: A Large, High-Quality Dataset of Parts"	Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Qihang Yu, Alan Yuille	PDF	N/A
A-OKVQA: A Benchmark for Visual Question Answering Using World Knowledge	Dustin Schwenk, Apoorv Khandelwal, Christopher Clark, Kenneth Marino, Roozbeh Mottaghi	PDF	N/A
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images	Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski	PDF	N/A
Facial Depth and Normal Estimation Using Single Dual-Pixel Camera	Minjun Kang, Jaesung Choe, Hyowon Ha, Hae-Gon Jeon, Sunghoon Im, In So Kweon, Kuk-Jin Yoon	PDF	N/A
The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing	Dawit Mureja Argaw, Fabian Caba, Joon-Young Lee, Markus Woodson, In So Kweon	PDF	N/A
StyleBabel: Artistic Style Tagging and Captioning	Dan Ruta, Andrew Gilbert, Pranav Aggarwal, Naveen Marri, Ajinkya Kale, Jo Briggs, Chris Speed, Hailin Jin, Baldo Faieta, Alex Filipkowski, Zhe Lin, John Collomosse	PDF	N/A
PANDORA: A Panoramic Detection Dataset for Object with Orientation	Hang Xu, Qiang Zhao, Yike Ma, Xiaodong Li, Peng Yuan, Bailan Feng, Chenggang Yan, Feng Dai	PDF	N/A
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context	Pinaki Nath Chowdhury, Aneeshan Sain, Ayan Kumar Bhunia, Tao Xiang, Yulia Gryaditskaya, Yi-Zhe Song	PDF	N/A
Exploring Fine-Grained Audiovisual Categorization with the SSW60 Dataset	Grant Van Horn, Rui Qian, Kimberly Wilber, Hartwig Adam, Oisin Mac Aodha, Serge Belongie	PDF	N/A
The Caltech Fish Counting Dataset: A Benchmark for Multiple-Object Tracking and Counting	Justin Kay, Peter Kulits, Suzanne Stathatos, Siqi Deng, Erik Young, Sara Beery, Grant Van Horn, Pietro Perona	PDF	N/A
A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility	Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer	PDF	N/A
BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis	Davide Moltisanti, Jinyi Wu, Bo Dai, Chen Change Loy	PDF	N/A
Dress Code: High-Resolution Multi-Category Virtual Try-On	Davide Morelli, Matteo Fincato, Marcella Cornia, Federico Landi, Fabio Cesari, Rita Cucchiara	PDF	N/A
A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-Supervised Classification and Clustering	Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Claudius Zelenka, Rainer Kiko, Jenny Stracke, Nina Volkmann, Reinhard Koch	PDF	N/A
ClearPose: Large-Scale Transparent Object Dataset and Benchmark	Xiaotong Chen, Huijie Zhang, Zeren Yu, Anthony Opipari, Odest Chadwicke Jenkins	PDF	N/A
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics	Iuliia Pliushch, Martin Mundt, Nicolas Lupp, Visvanathan Ramesh	PDF	N/A
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment	Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo	PDF	N/A
MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration	Thomas Hayes, Songyang Zhang, Xi Yin, Guan Pang, Sasha Sheng, Harry Yang, Songwei Ge, Qiyuan Hu, Devi Parikh	PDF	N/A
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing	Paul Upchurch, Ransen Niu	PDF	N/A
MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis	Athanasios Papaioannou, Baris Gecer, Shiyang Cheng, Grigorios G. Chrysos, Jiankang Deng, Eftychia Fotiadou, Christos Kampouris, Dimitrios Kollias, Stylianos Moschoglou, Kritaphat Songsri-In, Stylianos Ploumpis, George Trigeorgis, Panagiotis Tzirakis, Evangelos Ververas, Yuxiang Zhou, Allan Ponniah, Anastasios Roussos, Stefanos Zafeiriou	PDF	N/A
"Delving into Universal Lesion Segmentation: Method, Dataset, and Benchmark"	Yu Qiu, Jing Xu	PDF	N/A
Large Scale Real-World Multi-person Tracking	Bing Shuai, Alessandro Bergamo, Uta Büchler, Andrew Berneshawi, Alyssa Boden, Joseph Tighe	PDF	N/A
D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights	Yuzhen Zhang, Wentong Wang, Weizhi Guo, Pei Lv, Mingliang Xu, Wei Chen, Dinesh Manocha	PDF	N/A
The Missing Link: Finding Label Relations across Datasets	Jasper Uijlings, Thomas Mensink, Vittorio Ferrari	PDF	N/A
Learning Omnidirectional Flow in 360° Video via Siamese Representation	Keshav Bhandari, Bin Duan, Gaowen Liu, Hugo Latapie, Ziliang Zong, Yan Yan	PDF	N/A
VizWiz-FewShot: Locating Objects in Images Taken by People with Visual Impairments	Yu-Yun Tseng, Alexander Bell, Danna Gurari	PDF	N/A
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments	Shubham Dokania, Anbumani Subramanian, Manmohan Chandraker, C.V. Jawahar	PDF	N/A
Trapped in Texture Bias? A Large Scale Comparison of Deep Instance Segmentation	Johannes Theodoridis, Jessica Hofmann, Johannes Maucher, Andreas Schilling	PDF	N/A
Deformable Feature Aggregation for Dynamic Multi-modal 3D Object Detection	Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao	PDF	N/A
WeLSA: Learning to Predict 6D Pose from Weakly Labeled Data Using Shape Alignment	Shishir Reddy Vutukur, Ivan Shugurov, Benjamin Busam, Andreas Hutter, Slobodan Ilic	PDF	N/A
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph	Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai	PDF	N/A
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection	Xuesong Chen, Shaoshuai Shi, Benjin Zhu, Ka Chun Cheung, Hang Xu, Hongsheng Li	PDF	N/A
Long-Tail Detection with Effective Class-Margins	Jang Hyun Cho, Philipp Krähenbühl	PDF	N/A
Semi-Supervised Monocular 3D Object Detection by Multi-View Consistency	Qing Lian, Yanbo Xu, Weilong Yao, Yingcong Chen, Tong Zhang	PDF	N/A
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer towards Video Object Detection	Han Wang, Jun Tang, Xiaodong Liu, Shanyan Guan, Rong Xie, Li Song	PDF	N/A
BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers	Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Yu Qiao, Jifeng Dai	PDF	N/A
Category-Level 6D Object Pose and Size Estimation Using Self-Supervised Deep Prior Deformation Networks	Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia	PDF	N/A
Dense Teacher: Dense Pseudo-Labels for Semi-Supervised Object Detection	Hongyu Zhou, Zheng Ge, Songtao Liu, Weixin Mao, Zeming Li, Haiyan Yu, Jian Sun	PDF	N/A
Point-to-Box Network for Accurate Object Detection via Single Point Supervision	Pengfei Chen, Xuehui Yu, Xumeng Han, Najmul Hassan, Kai Wang, Jiachen Li, Jian Zhao, Humphrey Shi, Zhenjun Han, Qixiang Ye	PDF	N/A
Domain Adaptive Hand Keypoint and Pixel Localization in the Wild	Takehiko Ohkawa, Yu-Jhe Li, Qichen Fu, Ryosuke Furuta, Kris M. Kitani, Yoichi Sato	PDF	N/A
Towards Data-Efficient Detection Transformers	Wen Wang, Jing Zhang, Yang Cao, Yongliang Shen, Dacheng Tao	PDF	N/A
Open-Vocabulary DETR with Conditional Matching	Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy	PDF	N/A
Prediction-Guided Distillation for Dense Object Detection	Chenhongyi Yang, Mateusz Ochal, Amos Storkey, Elliot J. Crowley	PDF	N/A
Multimodal Object Detection via Probabilistic Ensembling	Yi-Ting Chen, Jinghao Shi, Zelin Ye, Christoph Mertz, Deva Ramanan, Shu Kong	PDF	N/A
Exploiting Unlabeled Data with Vision and Language Models for Object Detection	Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, Vijay Kumar B G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas	PDF	N/A
CPO: Change Robust Panorama to Point Cloud Localization	Junho Kim, Hojun Jang, Changwoon Choi, Young Min Kim	PDF	N/A
INT: Towards Infinite-Frames 3D Detection with an Efficient Framework	Jianyun Xu, Zhenwei Miao, Da Zhang, Hongyu Pan, Kaixuan Liu, Peihan Hao, Jun Zhu, Zhengyang Sun, Hongmin Li, Xin Zhan	PDF	N/A
End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution	Mingxiang Liao, Fang Wan, Yuan Yao, Zhenjun Han, Jialing Zou, Yuze Wang, Bailan Feng, Peng Yuan, Qixiang Ye	PDF	N/A
Calibration-Free Multi-View Crowd Counting	Qi Zhang, Antoni B. Chan	PDF	N/A
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training	Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang	PDF	N/A
SuperLine3D: Self-Supervised Line Segmentation and Description for LiDAR Point Cloud	Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu	PDF	N/A
Exploring Plain Vision Transformer Backbones for Object Detection	Yanghao Li, Hanzi Mao, Ross Girshick, Kaiming He	PDF	N/A
Adversarially-Aware Robust Object Detector	Ziyi Dong, Pengxu Wei, Liang Lin	PDF	N/A
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors	Luting Wang, Xiaojie Li, Yue Liao, Zeren Jiang, Jianlong Wu, Fei Wang, Chen Qian, Si Liu	PDF	N/A
You Should Look at All Objects	Zhenchao Jin, Dongdong Yu, Luchuan Song, Zehuan Yuan, Lequan Yu	PDF	N/A
Detecting Twenty-Thousand Classes Using Image-Level Supervision	Xingyi Zhou, Rohit Girdhar, Armand Joulin, Philipp Krähenbühl, Ishan Misra	PDF	N/A
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation	Hongyang Li, Jiehong Lin, Kui Jia	PDF	N/A
Monocular 3D Object Detection with Depth from Motion	Tai Wang, Jiangmiao Pang, Dahua Lin	PDF	N/A
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation	Yilin Wen, Xiangyu Li, Hao Pan, Lei Yang, Zheng Wang, Taku Komura, Wenping Wang	PDF	N/A
Distilling Object Detectors with Global Knowledge	Sanli Tang, Zhongyu Zhang, Zhanzhan Cheng, Jing Lu, Yunlu Xu, Yi Niu, Fan He	PDF	N/A
Unifying Visual Perception by Dispersible Points Learning	Jianming Liang, Guanglu Song, Biao Leng, Yu Liu	PDF	N/A
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection	Gang Li, Xiang Li, Yujie Wang, Yichao Wu, Ding Liang, Shanshan Zhang	PDF	N/A
Exploring Resolution and Degradation Clues As Self-Supervised Signal for Low Quality Object Detection	Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada	PDF	N/A
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features	Wufei Ma, Angtian Wang, Alan Yuille, Adam Kortylewski	PDF	N/A
"Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection"	Maoxun Yuan, Yinyan Wang, Xingxing Wei	PDF	N/A
RFLA: Gaussian Receptive Field Based Label Assignment for Tiny Object Detection	Chang Xu, Jinwang Wang, Wen Yang, Huai Yu, Lei Yu, Gui-Song Xia	PDF	N/A
Rethinking IoU-Based Optimization for Single-Stage 3D Object Detection	Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Min-Jian Zhao, Gim Hee Lee	PDF	N/A
TD-Road: Top-Down Road Network Extraction with Holistic Graph Construction	Yang He, Ravi Garg, Amber Roy Chowdhury	PDF	N/A
Multi-faceted Distillation of Base-Novel Commonality for Few-Shot Object Detection	Shuang Wu, Wenjie Pei, Dianwen Mei, Fanglin Chen, Jiandong Tian, Guangming Lu	PDF	N/A
PointCLM: A Contrastive Learning-Based Framework for Multi-Instance Point Cloud Registration	Mingzhi Yuan, Zhihao Li, Qiuye Jin, Xinrong Chen, Manning Wang	PDF	N/A
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration	Haotian Bai, Ruimao Zhang, Jiong Wang, Xiang Wan	PDF	N/A
MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer	Jinze Yu, Jiaming Liu, Xiaobao Wei, Haoyi Zhou, Yohei Nakata, Denis Gudovskiy, Tomoyuki Okuno, Jianxin Li, Kurt Keutzer, Shanghang Zhang	PDF	N/A
Multi-Domain Multi-Definition Landmark Localization for Small Datasets	David Ferman, Gaurav Bharaj	PDF	N/A
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection	Abhinav Kumar, Garrick Brazil, Enrique Corona, Armin Parchami, Xiaoming Liu	PDF	N/A
Label-Guided Auxiliary Training Improves 3D Object Detector	Yaomin Huang, Xinmei Liu, Yichen Zhu, Zhiyuan Xu, Chaomin Shen, Zhengping Che, Guixu Zhang, Yaxin Peng, Feifei Feng, Jian Tang	PDF	N/A
PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images	Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma	PDF	N/A
Densely Constrained Depth Estimator for Monocular 3D Object Detection	Yingyan Li, Yuntao Chen, Jiawei He, Zhaoxiang Zhang	PDF	N/A
Polarimetric Pose Prediction	Daoyi Gao, Yitong Li, Patrick Ruhkamp, Iuliia Skobleva, Magdalena Wysocki, HyunJun Jung, Pengyuan Wang, Arturo Guridi, Benjamin Busam	PDF	N/A
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching	Shuai Chen, Xinghui Li, Zirui Wang, Victor Adrian Prisacariu	PDF	N/A
Cornerformer: Purifying Instances for Corner-Based Detectors	Haoran Wei, Xin Chen, Lingxi Xie, Qi Tian	PDF	N/A
PillarNet: Real-Time and High-Performance Pillar-Based 3D Object Detection	Guangsheng Shi, Ruifeng Li, Chao Ma	PDF	N/A
Robust Object Detection with Inaccurate Bounding Boxes	Chengxin Liu, Kewei Wang, Hao Lu, Zhiguo Cao, Ziming Zhang	PDF	N/A
Efficient Decoder-Free Object Detection with Transformers	Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen	PDF	N/A
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection	Yu Hong, Hang Dai, Yong Ding	PDF	N/A
ReAct: Temporal Action Detection with Relational Queries	Dingfeng Shi, Yujie Zhong, Qiong Cao, Jing Zhang, Lin Ma, Jia Li, Dacheng Tao	PDF	N/A
Towards Accurate Active Camera Localization	Qihang Fang, Yingda Yin, Qingnan Fan, Fei Xia, Siyan Dong, Sheng Wang, Jue Wang, Leonidas J. Guibas, Baoquan Chen	PDF	N/A
Camera Pose Auto-Encoders for Improving Pose Regression	Yoli Shavit, Yosi Keller	PDF	N/A
Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining	Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov	PDF	N/A
Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization	Lei Zhu, Qian Chen, Lujia Jin, Yunfei You, Yanye Lu	PDF	N/A
UC-OWOD: Unknown-Classified Open World Object Detection	Zhiheng Wu, Yue Lu, Xingyu Chen, Zhengxing Wu, Liwen Kang, Junzhi Yu	PDF	N/A
RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray-Traced Transformers	Michał J. Tyszkiewicz, Kevis-Kokitsi Maninis, Stefan Popov, Vittorio Ferrari	PDF	N/A
GTCaR: Graph Transformer for Camera Re-Localization	Xinyi Li, Haibin Ling	PDF	N/A
3D Object Detection with a Self-Supervised Lidar Scene Flow Backbone	Emeç Erçelik, Ekim Yurtsever, Mingyu Liu, Zhijie Yang, Hanzhen Zhang, Pınar Topçam, Maximilian Listl, Yılmaz Kaan Çaylı, Alois Knoll	PDF	N/A
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels	Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong	PDF	N/A
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations	Wenjie Pei, Shuang Wu, Dianwen Mei, Fanglin Chen, Jiandong Tian, Guangming Lu	PDF	N/A
SALISA: Saliency-Based Input Sampling for Efficient Video Object Detection	Babak Ehteshami Bejnordi, Amirhossein Habibian, Fatih Porikli, Amir Ghodrati	PDF	N/A
ECO-TR: Efficient Correspondences Finding via Coarse-to-Fine Refinement	Dongli Tan, Jiang-Jiang Liu, Xingyu Chen, Chao Chen, Ruixin Zhang, Yunhang Shen, Shouhong Ding, Rongrong Ji	PDF	N/A
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting	Yangzheng Wu, Mohsen Zand, Ali Etemad, Michael Greenspan	PDF	N/A
Long-Tailed Instance Segmentation Using Gumbel Optimized Loss	Konstantinos Panagiotis Alexandridis, Jiankang Deng, Anh Nguyen, Shan Luo	PDF	N/A
DetMatch: Two Teachers Are Better than One for Joint 2D and 3D Semi-Supervised Object Detection	Jinhyung Park, Chenfeng Xu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan	PDF	N/A
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection	Mohsen Zand, Ali Etemad, Michael Greenspan	PDF	N/A
Is Geometry Enough for Matching in Visual Localization?	Qunjie Zhou, Sérgio Agostinho, Aljoša Ošep, Laura Leal-Taixé	PDF	N/A
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds	Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov	PDF	N/A
PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry	Yu Zhang, Junle Yu, Xiaolin Huang, Wenhui Zhou, Ji Hou	PDF	N/A
GLAMD: Global and Local Attention Mask Distillation for Object Detectors	Younho Jang, Wheemyung Shin, Jinbeom Kim, Simon Woo, Sung-Ho Bae	PDF	N/A
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection	Danila Rukhovich, Anna Vorontsova, Anton Konushin	PDF	N/A
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles	Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang	PDF	N/A
Class-Agnostic Object Detection with Multi-modal Transformer	Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Ming-Hsuan Yang	PDF	N/A
Enhancing Multi-modal Features Using Local Self-Attention for 3D Object Detection	Hao Li, Zehan Zhang, Xian Zhao, Yulong Wang, Yuxi Shen, Shiliang Pu, Hui Mao	PDF	N/A
Object Detection As Probabilistic Set Prediction	Georg Hess, Christoffer Petersson, Lennart Svensson	PDF	N/A
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions	Zhi Li, Lu He, Huijuan Xu	PDF	N/A
Neural Correspondence Field for Object Pose Estimation	Lin Huang, Tomas Hodan, Lingni Ma, Linguang Zhang, Luan Tran, Christopher D. Twigg, Po-Chen Wu, Junsong Yuan, Cem Keskin, Robert Wang	PDF	N/A
On Label Granularity and Object Localization	Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona, Serge Belongie, Andrew Howard, Oisin Mac Aodha	PDF	N/A
OIMNet++: Prototypical Normalization and Localization-Aware Learning for Person Search	Sanghoon Lee, Youngmin Oh, Donghyeon Baek, Junghyup Lee, Bumsub Ham	PDF	N/A
Out-of-Distribution Identification: Let Detector Tell Which I Am Not Sure	Ruoqi Li, Chongyang Zhang, Hao Zhou, Chao Shi, Yan Luo	PDF	N/A
Learning with Free Object Segments for Long-Tailed Instance Segmentation	Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, Wei-Lun Chao	PDF	N/A
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction	YuXuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, Xi Chen	PDF	N/A
3D Random Occlusion and Multi-layer Projection for Deep Multi-Camera Pedestrian Localization	Rui Qiu, Ming Xu, Yuyao Yan, Jeremy S. Smith, Xi Yang	PDF	N/A
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation	Wuyang Chen, Xianzhi Du, Fan Yang, Lucas Beyer, Xiaohua Zhai, Tsung-Yi Lin, Huizhong Chen, Jing Li, Xiaodan Song, Zhangyang Wang, Denny Zhou	PDF	N/A
Simple Open-Vocabulary Object Detection with Vision Transformers	Matthias Minderer, Alexey Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby	PDF	N/A
"A Simple Approach and Benchmark for 21,000-Category Object Detection"	Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Han Hu	PDF	N/A
Knowledge Condensation Distillation	Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao	PDF	N/A
Reducing Information Loss for Spiking Neural Networks	Yufei Guo, Yuanpei Chen, Liwen Zhang, YingLei Wang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma	PDF	N/A
Masked Generative Distillation	Zhendong Yang, Zhe Li, Mingqi Shao, Dachuan Shi, Zehuan Yuan, Chun Yuan	PDF	N/A
Fine-Grained Data Distribution Alignment for Post-Training Quantization	Yunshan Zhong, Mingbao Lin, Mengzhao Chen, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji	PDF	N/A
Learning with Recoverable Forgetting	Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang	PDF	N/A
Efficient One Pass Self-Distillation with Zipf’s Label Smoothing	Jiajun Liang, Linze Li, Zhaodong Bing, Borui Zhao, Yao Tang, Bo Lin, Haoqiang Fan	PDF	N/A
Prune Your Model before Distill It	Jinhyuk Park, Albert No	PDF	N/A
Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference	Zhongnan Qu, Cong Liu, Lothar Thiele	PDF	N/A
Patch Similarity Aware Data-Free Quantization for Vision Transformers	Zhikai Li, Liping Ma, Mengjuan Chen, Junrui Xiao, Qingyi Gu	PDF	N/A
"L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training"	Jonghyun Bae, Woohyeon Baek, Tae Jun Ham, Jae W. Lee	PDF	N/A
Streaming Multiscale Deep Equilibrium Models	Can Ufuk Ertenli, Emre Akbas, Ramazan Gokberk Cinbis	PDF	N/A
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization	Sein Park, Yeongsang Jang, Eunhyeok Park	PDF	N/A
SP-Net: Slowly Progressing Dynamic Inference Networks	Huanyu Wang, Wenhu Zhang, Shihao Su, Hui Wang, Zhenwei Miao, Xin Zhan, Xi Li	PDF	N/A
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data	Tan Wang, Qianru Sun, Sugiri Pranata, Karlekar Jayashree, Hanwang Zhang	PDF	N/A
Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance	Chen Tang, Kai Ouyang, Zhi Wang, Yifei Zhu, Wen Ji, Yaowei Wang, Wenwu Zhu	PDF	N/A
Event Neural Networks	Matthew Dutson, Yin Li, Mohit Gupta	PDF	N/A
EdgeViTs: Competing Light-Weight CNNs on Mobile Devices with Vision Transformers	Junting Pan, Adrian Bulat, Fuwen Tan, Xiatian Zhu, Lukasz Dudziak, Hongsheng Li, Georgios Tzimiropoulos, Brais Martinez	PDF	N/A
PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators	Qinghao Hu, Gang Li, Qiman Wu, Jian Cheng	PDF	N/A
Disentangled Differentiable Network Pruning	Shangqian Gao, Feihu Huang, Yanfu Zhang, Heng Huang	PDF	N/A
IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors	Sheng Xu, Yanjing Li, Bohan Zeng, Teli Ma, Baochang Zhang, Xianbin Cao, Peng Gao, Jinhu Lü	PDF	N/A
Learning to Weight Samples for Dynamic Early-Exiting Networks	Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfeng Cao, Wenhui Huang, Chao Deng, Gao Huang	PDF	N/A
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets	Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang	PDF	N/A
Adaptive Token Sampling for Efficient Vision Transformers	Mohsen Fayyaz, Soroush Abbasi Koohpayegani, Farnoush Rezaei Jafari, Sunando Sengupta, Hamid Reza Vaezi Joze, Eric Sommerlade, Hamed Pirsiavash, Jürgen Gall	PDF	N/A
Weight Fixing Networks	Christopher Subia-Waud, Srinandan Dasmahapatra	PDF	N/A
Self-Slimmed Vision Transformer	Zhuofan Zong, Kunchang Li, Guanglu Song, Yali Wang, Yu Qiao, Biao Leng, Yu Liu	PDF	N/A
Switchable Online Knowledge Distillation	Biao Qian, Yang Wang, Hongzhi Yin, Richang Hong, Meng Wang	PDF	N/A
l∞-Robustness and Beyond: Unleashing Efficient Adversarial Training	Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie	PDF	N/A
Multi-Granularity Pruning for Model Acceleration on Mobile Devices	Tianli Zhao, Xi Sheryl Zhang, Wentao Zhu, Jiaxing Wang, Sen Yang, Ji Liu, Jian Cheng	PDF	N/A
Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification	Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi	PDF	N/A
Helpful or Harmful: Inter-Task Association in Continual Learning	Hyundong Jin, Eunwoo Kim	PDF	N/A
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies	Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu	PDF	N/A
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks	Chien-Yu Lin, Anish Prabhu, Thomas Merth, Sachin Mehta, Anurag Ranjan, Maxwell Horton, Mohammad Rastegari	PDF	N/A
Ensemble Knowledge Guided Sub-network Search and Fine-Tuning for Filter Pruning	Seunghyun Lee, Byung Cheol Song	PDF	N/A
Network Binarization via Contrastive Learning	Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan	PDF	N/A
Lipschitz Continuity Retained Binary Neural Network	Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan	PDF	N/A
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning	Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang	PDF	N/A
Soft Masking for Cost-Constrained Channel Pruning	Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, Jose Alvarez	PDF	N/A
Non-uniform Step Size Quantization for Accurate Post-Training Quantization	Sangyun Oh, Hyeonuk Sim, Jounghyun Kim, Jongeun Lee	PDF	N/A
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning	Haoran You, Baopu Li, Zhanyi Sun, Xu Ouyang, Yingyan Lin	PDF	N/A
Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously	Yi Sun, Jian Li, Xin Xu	PDF	N/A
Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning	Sayeed Shafayet Chowdhury, Nitin Rathi, Kaushik Roy	PDF	N/A
Towards Accurate Network Quantization with Equivalent Smooth Regularizer	Kirill Solodskikh, Vladimir Chikin, Ruslan Aydarkhanov, Dehua Song, Irina Zhelavskaya, Jiansheng Wei	PDF	N/A
Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization	Vladimir Chikin, Kirill Solodskikh, Irina Zhelavskaya	PDF	N/A
BASQ: Branch-Wise Activation-Clipping Search Quantization for Sub-4-Bit Neural Networks	Han-Byul Kim, Eunhyeok Park, Sungjoo Yoo	PDF	N/A
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding	Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang	PDF	N/A
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks	Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma	PDF	N/A
FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks	Vaikkunth Mugunthan, Eric Lin, Vignesh Gokul, Christian Lau, Lalana Kagal, Steve Pieper	PDF	N/A
Theoretical Understanding of the Information Flow on Continual Learning Performance	Joshua Andle, Salimeh Yasaei Sekeh	PDF	N/A
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks	Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda	PDF	N/A
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network	Juseung Yun, Janghyeon Lee, Hyounguk Shon, Eojindl Yi, Seung Hwan Kim, Junmo Kim	PDF	N/A
LANA: Latency Aware Network Acceleration	Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat	PDF	N/A
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization	Zhe Wang, Jie Lin, Xue Geng, Mohamed M. Sabry Aly, Vijay Chandrasekhar	PDF	N/A
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search	Ahmet Caner Yüzügüler, Nikolaos Dimitriadis, Pascal Frossard	PDF	N/A
PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization	Zhihang Yuan, Chenhao Xue, Yiqi Chen, Qiang Wu, Guangyu Sun	PDF	N/A
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach	Jiseok Youn, Jaehun Song, Hyung-Sin Kim, Saewoong Bahk	PDF	N/A
Understanding the Dynamics of DNNs Using Graph Modularity	Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen, Qi Xuan, Zhen Wang, Xiaoniu Yang	PDF	N/A
Latent Discriminant Deterministic Uncertainty	Gianni Franchi, Xuanlong Yu, Andrei Bursuc, Emanuel Aldea, Severine Dubuisson, David Filliat	PDF	N/A
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals	Simon Vandenhende, Dhruv Mahajan, Filip Radenovic, Deepti Ghadiyaram	PDF	N/A
HIVE: Evaluating the Human Interpretability of Visual Explanations	Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky	PDF	N/A
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks	Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata	PDF	N/A
SESS: Saliency Enhancing with Scaling and Sliding	Osman Tursun, Simon Denman, Sridha Sridharan, Clinton Fookes	PDF	N/A
No Token Left Behind: Explainability-Aided Image Classification and Generation	Roni Paiss, Hila Chefer, Lior Wolf	PDF	N/A
Interpretable Image Classification with Differentiable Prototypes Assignment	Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński	PDF	N/A
"Contributions of Shape, Texture, and Color in Visual Recognition"	Yunhao Ge, Yao Xiao, Zhi Xu, Xingrui Wang, Laurent Itti	PDF	N/A
STEEX: Steering Counterfactual Explanations with Semantics	Paul Jacob, Éloi Zablocki, Hédi Ben-Younes, Mickaël Chen, Patrick Pérez, Matthieu Cord	PDF	N/A
Are Vision Transformers Robust to Patch Perturbations?	Jindong Gu, Volker Tresp, Yao Qin	PDF	N/A
A Dataset Generation Framework for Evaluating Megapixel Image Classifiers & Their Explanations	Gautam Machiraju, Sylvia Plevritis, Parag Mallick	PDF	N/A
Cartoon Explanations of Image Classifiers	Stefan Kolek, Duc Anh Nguyen, Ron Levie, Joan Bruna, Gitta Kutyniok	PDF	N/A
Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value	Quan Zheng, Ziwei Wang, Jie Zhou, Jiwen Lu	PDF	N/A
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain	Jiazhen Ji, Huan Wang, Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, ShengChuan Zhang, Liujuan Cao, Rongrong Ji	PDF	N/A
Contrast-Phys: Unsupervised Video-Based Remote Physiological Measurement via Spatiotemporal Contrast	Zhaodong Sun, Xiaobai Li	PDF	N/A
Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing	Yuchen Liu, Yabo Chen, Wenrui Dai, Mengran Gou, Chun-Ting Huang, Hongkai Xiong	PDF	N/A
On Mitigating Hard Clusters for Face Clustering	Yingjie Chen, Huasong Zhong, Chong Chen, Chen Shen, Jianqiang Huang, Tao Wang, Yun Liang, Qianru Sun	PDF	N/A
OneFace: One Threshold for All	Jiaheng Liu, Zhipeng Yu, Haoyu Qin, Yichao Wu, Ding Liang, Gangming Zhao, Ke Xu	PDF	N/A
Label2Label: A Language Modeling Framework for Multi-Attribute Learning	Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu	PDF	N/A
AgeTransGAN for Facial Age Transformation with Rectified Performance Metrics	Gee-Sern Hsu, Rui-Cang Xie, Zhi-Ting Chen, Yu-Hong Lin	PDF	N/A
Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection	Zhihao Gu, Taiping Yao, Yang Chen, Shouhong Ding, Lizhuang Ma	PDF	N/A
Rethinking Robust Representation Learning under Fine-Grained Noisy Faces	Bingqi Ma, Guanglu Song, Boxiao Liu, Yu Liu	PDF	N/A
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition	Sungho Shin, Joosoon Lee, Junseok Lee, Yeonguk Yu, Kyoobin Lee	PDF	N/A
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions	Tohar Lukov, Na Zhao, Gim Hee Lee, Ser-Nam Lim	PDF	N/A
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis	Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, Jiwen Lu	PDF	N/A
CoupleFace: Relation Matters for Face Recognition Distillation	Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu	PDF	N/A
Controllable and Guided Face Synthesis for Unconstrained Face Recognition	Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu	PDF	N/A
Towards Robust Face Recognition with Comprehensive Search	Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li	PDF	N/A
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian	Zhiwen Cao, Dongfang Liu, Qifan Wang, Yingjie Chen	PDF	N/A
AU-Aware 3D Face Reconstruction through Personalized AU-Specific Blendshape Learning	Chenyi Kuang, Zijun Cui, Jeffrey O. Kephart, Qiang Ji	PDF	N/A
BézierPalm: A Free Lunch for Palmprint Recognition	Kai Zhao, Lei Shen, Yingyi Zhang, Chuhan Zhou, Tao Wang, Ruixin Zhang, Shouhong Ding, Wei Jia, Wei Shen	PDF	N/A
Adaptive Transformers for Robust Few-Shot Cross-Domain Face Anti-Spoofing	Hsin-Ping Huang, Deqing Sun, Yaojie Liu, Wen-Sheng Chu, Taihong Xiao, Jinwei Yuan, Hartwig Adam, Ming-Hsuan Yang	PDF	N/A
Face2Faceρ: Real-Time High-Resolution One-Shot Face Reenactment	Kewei Yang, Kang Chen, Daoliang Guo, Song-Hai Zhang, Yuan-Chen Guo, Weidong Zhang	PDF	N/A
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation	Haiwen Feng, Timo Bolkart, Joachim Tesch, Michael J. Black, Victoria Abrevaya	PDF	N/A
BoundaryFace: A Mining Framework with Noise Label Self-Correction for Face Recognition	Shijie Wu, Xun Gong	PDF	N/A
Pre-training Strategies and Datasets for Facial Representation Learning	Adrian Bulat, Shiyang Cheng, Jing Yang, Andrew Garbett, Enrique Sanchez, Georgios Tzimiropoulos	PDF	N/A
Look Both Ways: Self-Supervising Driver Gaze Estimation and Road Scene Saliency	Isaac Kasahara, Simon Stent, Hyun Soo Park	PDF	N/A
MFIM: Megapixel Facial Identity Manipulation	Sanghyeon Na	PDF	N/A
3D Face Reconstruction with Dense Landmarks	Erroll Wood, Tadas Baltrušaitis, Charlie Hewitt, Matthew Johnson, Jingjing Shen, Nikola Milosavljević, Daniel Wilde, Stephan Garbin, Toby Sharp, Ivan Stojiljković, Tom Cashman, Julien Valentin	PDF	N/A
Emotion-Aware Multi-View Contrastive Learning for Facial Emotion Recognition	Daeha Kim, Byung Cheol Song	PDF	N/A
Order Learning Using Partially Ordered Data via Chainization	Seon-Ho Lee, Chang-Su Kim	PDF	N/A
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction	Ron Slossberg, Ibrahim Jubran, Ron Kimmel	PDF	N/A
Multi-Domain Learning for Updating Face Anti-Spoofing Models	Xiao Guo, Yaojie Liu, Anil Jain, Xiaoming Liu	PDF	N/A
Towards Metrical Reconstruction of Human Faces	Wojciech Zielonka, Timo Bolkart, Justus Thies	PDF	N/A
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks	Zhiheng Li, Anthony Hoogs, Chenliang Xu	PDF	N/A
Unsupervised and Semi-Supervised Bias Benchmarking in Face Recognition	Alexandra Chouldechova, Siqi Deng, Yongxin Wang, Wei Xia, Pietro Perona	PDF	N/A
Towards Efficient Adversarial Training on Vision Transformers	Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu	PDF	N/A
MIME: Minority Inclusion for Majority Group Enhancement of AI Performance	Pradyumna Chari, Yunhao Ba, Shreeram Athreya, Achuta Kadambi	PDF	N/A
Studying Bias in GANs through the Lens of Race	Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory	PDF	N/A
"Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness"	Ailin Deng, Shen Li, Miao Xiong, Zhirui Chen, Bryan Hooi	PDF	N/A
Learning to Censor by Noisy Sampling	Ayush Chopra, Abhinav Java, Abhishek Singh, Vivek Sharma, Ramesh Raskar	PDF	N/A
An Invisible Black-Box Backdoor Attack through Frequency Domain	Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang	PDF	N/A
FairGRAPE: Fairness-Aware GRAdient Pruning mEthod for Face Attribute Classification	Xiaofeng Lin, Seungbae Kim, Jungseock Joo	PDF	N/A
Attaining Class-Level Forgetting in Pretrained Model Using Few Samples	Pravendra Singh, Pratik Mazumder, Mohammed Asad Karim	PDF	N/A
Anti-Neuron Watermarking: Protecting Personal Data against Unauthorized Neural Networks	Zihang Zou, Boqing Gong, Liqiang Wang	PDF	N/A
An Impartial Take to the CNN vs Transformer Robustness Contest	Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania	PDF	N/A
Recover Fair Deep Classification Models via Altering Pre-trained Structure	Yanfu Zhang, Shangqian Gao, Heng Huang	PDF	N/A
Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release	Abhishek Singh, Ethan Garza, Ayush Chopra, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar	PDF	N/A
Privacy-Preserving Action Recognition via Motion Difference Quantization	Sudhakar Kumawat, Hajime Nagahara	PDF	N/A
Latent Space Smoothing for Individually Fair Representations	Momchil Peychev, Anian Ruoss, Mislav Balunović, Maximilian Baader, Martin Vechev	PDF	N/A
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration	Christian Tomani, Daniel Cremers, Florian Buettner	PDF	N/A
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations	Cemre Efe Karakas, Alara Dirik, Eylül Yalçınkaya, Pinar Yanardag	PDF	N/A
Distilling the Undistillable: Learning from a Nasty Teacher	Surgan Jandial, Yash Khasbage, Arghya Pal, Vineeth N Balasubramanian, Balaji Krishnamurthy	PDF	N/A
SOS! Self-Supervised Learning over Sets of Handled Objects in Egocentric Action Recognition	Victor Escorcia, Ricardo Guerrero, Xiatian Zhu, Brais Martinez	PDF	N/A
Egocentric Activity Recognition and Localization on a 3D Map	Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li	PDF	N/A
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video	Wenqi Jia, Miao Liu, James M. Rehg	PDF	N/A
My View Is the Best View: Procedure Learning from Egocentric Videos	Siddhant Bansal, Chetan Arora, C.V. Jawahar	PDF	N/A
GIMO: Gaze-Informed Human Motion Prediction in Context	Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, Karen Liu, Leonidas J. Guibas	PDF	N/A
Image-Based CLIP-Guided Essence Transfer	Hila Chefer, Sagie Benaim, Roni Paiss, Lior Wolf	PDF	N/A
Detecting and Recovering Sequential DeepFake Manipulation	Rui Shao, Tianxing Wu, Ziwei Liu	PDF	N/A
Self-Supervised Sparse Representation for Video Anomaly Detection	Jhih-Ciang Wu, He-Yen Hsieh, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu	PDF	N/A
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal	Xinwei Liu, Jian Liu, Yang Bai, Jindong Gu, Tao Chen, Xiaojun Jia, Xiaochun Cao	PDF	N/A
Explaining Deepfake Detection by Analysing Image Matching	Shichao Dong, Jin Wang, Jiajun Liang, Haoqiang Fan, Renhe Ji	PDF	N/A
FrequencyLowCut Pooling – Plug & Play against Catastrophic Overfitting	Julia Grabinski, Steffen Jung, Janis Keuper, Margret Keuper	PDF	N/A
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations	Shivangi Aneja, Lev Markhasin, Matthias Nießner	PDF	N/A
FingerprintNet: Synthesized Fingerprints for Generated Image Detection	Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Pyounggeon Kim, Jongwon Choi	PDF	N/A
Detecting Generated Images by Real Images	Bo Liu, Fan Yang, Xiuli Bi, Bin Xiao, Weisheng Li, Xinbo Gao	PDF	N/A
An Information Theoretic Approach for Attention-Driven Face Forgery Detection	Ke Sun, Hong Liu, Taiping Yao, Xiaoshuai Sun, Shen Chen, Shouhong Ding, Rongrong Ji	PDF	N/A
Exploring Disentangled Content Information for Face Forgery Detection	Jiahao Liang, Huafeng Shi, Weihong Deng	PDF	N/A
RepMix: Representation Mixing for Robust Attribution of Synthesized Images	Tu Bui, Ning Yu, John Collomosse	PDF	N/A
Totems: Physical Objects for Verifying Visual Integrity	Jingwei Ma, Lucy Chai, Minyoung Huh, Tongzhou Wang, Ser-Nam Lim, Phillip Isola, Antonio Torralba	PDF	N/A
Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval	Pandeng Li, Hongtao Xie, Jiannan Ge, Lei Zhang, Shaobo Min, Yongdong Zhang	PDF	N/A
PASS: Part-Aware Self-Supervised Pre-training for Person Re-identification	Kuan Zhu, Haiyun Guo, Tianyi Yan, Yousong Zhu, Jinqiao Wang, Ming Tang	PDF	N/A
Adaptive Cross-Domain Learning for Generalizable Person Re-identification	Pengyi Zhang, Huanzhang Dou, Yunlong Yu, Xi Li	PDF	N/A
Multi-Query Video Retrieval	Zeyu Wang, Yu Wu, Karthik Narasimhan, Olga Russakovsky	PDF	N/A
Hierarchical Average Precision Training for Pertinent Image Retrieval	Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot	PDF	N/A
Learning Semantic Correspondence with Sparse Annotations	Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava	PDF	N/A
Dynamically Transformed Instance Normalization Network for Generalizable Person Re-identification	Bingliang Jiao, Lingqiao Liu, Liying Gao, Guosheng Lin, Lu Yang, Shizhou Zhang, Peng Wang, Yanning Zhang	PDF	N/A
Domain Adaptive Person Search	Junjie Li, Yichao Yan, Guanshuo Wang, Fufu Yu, Qiong Jia, Shouhong Ding	PDF	N/A
TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval	Yuqi Liu, Pengfei Xiong, Luhui Xu, Shengming Cao, Qin Jin	PDF	N/A
Unstructured Feature Decoupling for Vehicle Re-identification	Wen Qian, Hao Luo, Silong Peng, Fan Wang, Chen Chen, Hao Li	PDF	N/A
Deep Hash Distillation for Image Retrieval	Young Kyun Jang, Geonmo Gu, Byungsoo Ko, Isaac Kang, Nam Ik Cho	PDF	N/A
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification	Boqiang Xu, Jian Liang, Lingxiao He, Zhenan Sun	PDF	N/A
Granularity-Aware Adaptation for Image Retrieval over Multiple Tasks	Jon Almazán, Byungsoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis	PDF	N/A
Learning Audio-Video Modalities from Image Captions	Arsha Nagrani, Paul Hongsuck Seo, Bryan Seybold, Anja Hauth, Santiago Manen, Chen Sun, Cordelia Schmid	PDF	N/A
RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-Supervised Learning	Wei-Ting Chen, I-Hsiang Chen, Chih-Yuan Yeh, Hao-Hsiang Yang, Hua-En Chang, Jian-Jiun Ding, Sy-Yen Kuo	PDF	N/A
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval	Fan Hu, Aozhu Chen, Ziyue Wang, Fangming Zhou, Jianfeng Dong, Xirong Li	PDF	N/A
Modality Synergy Complement Learning with Cascaded Aggregation for Visible-Infrared Person Re-identification	Yiyuan Zhang, Sanyuan Zhao, Yuhao Kang, Jianbing Shen	PDF	N/A
Cross-Modality Transformer for Visible-Infrared Person Re-identification	Kongzhu Jiang, Tianzhu Zhang, Xiang Liu, Bingqiao Qian, Yongdong Zhang, Feng Wu	PDF	N/A
Audio-Visual Mismatch-Aware Video Retrieval via Association and Adjustment	Sangmin Lee, Sungjune Park, Yong Man Ro	PDF	N/A
Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search	Haokui Zhang, Buzhou Tang, Wenze Hu, Xiaoyu Wang	PDF	N/A
SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval	Yang Shen, Xuhao Sun, Xiu-Shen Wei, Qing-Yuan Jiang, Jian Yang	PDF	N/A
CAViT: Contextual Alignment Vision Transformer for Video Object Re-identification	Jinlin Wu, Lingxiao He, Wu Liu, Yang Yang, Zhen Lei, Tao Mei, Stan Z. Li	PDF	N/A
Text-Based Temporal Localization of Novel Events	Sudipta Paul, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury	PDF	N/A
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval	Zhaopeng Dou, Zhongdao Wang, Weihua Chen, Yali Li, Shengjin Wang	PDF	N/A
Relighting4D: Neural Relightable Human from Videos	Zhaoxi Chen, Ziwei Liu	PDF	N/A
Real-Time Intermediate Flow Estimation for Video Frame Interpolation	Zhewei Huang, Tianyuan Zhang, Wen Heng, Boxin Shi, Shuchang Zhou	PDF	N/A
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation	Jing He, Yiyi Zhou, Qi Zhang, Jun Peng, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji	PDF	N/A
StyleSwap: Style-Based Generator Empowers Robust Face Swapping	Zhiliang Xu, Hang Zhou, Zhibin Hong, Ziwei Liu, Jiaming Liu, Zhizhi Guo, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang	PDF	N/A
Paint2Pix: Interactive Painting Based Progressive Image Synthesis and Editing	Jaskirat Singh, Liang Zheng, Cameron Smith, Jose Echevarria	PDF	N/A
FurryGAN: High Quality Foreground-Aware Image Synthesis	Jeongmin Bae, Mingi Kwon, Youngjung Uh	PDF	N/A
SCAM! Transferring Humans between Images with Semantic Cross Attention Modulation	Nicolas Dufour, David Picard, Vicky Kalogeiton	PDF	N/A
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields	Yuedong Chen, Qianyi Wu, Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai	PDF	N/A
WaveGAN: Frequency-Aware GAN for High-Fidelity Few-Shot Image Generation	Mengping Yang, Zhe Wang, Ziqiu Chi, Wenyi Feng	PDF	N/A
End-to-End Visual Editing with a Generatively Pre-trained Artist	Andrew Brown, Cheng-Yang Fu, Omkar Parkhi, Tamara L. Berg, Andrea Vedaldi	PDF	N/A
High-Fidelity GAN Inversion with Padding Space	Qingyan Bai, Yinghao Xu, Jiapeng Zhu, Weihao Xia, Yujiu Yang, Yujun Shen	PDF	N/A
Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping	Chao Xu, Jiangning Zhang, Yue Han, Guanzhong Tian, Xianfang Zeng, Ying Tai, Yabiao Wang, Chengjie Wang, Yong Liu	PDF	N/A
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives	Wentao Yuan, Qingtian Zhu, Xiangyue Liu, Yikang Ding, Haotian Zhang, Chi Zhang	PDF	N/A
Make-a-Scene: Scene-Based Text-to-Image Generation with Human Priors	Oran Gafni, Adam Polyak, Oron Ashual, Shelly Sheynin, Devi Parikh, Yaniv Taigman	PDF	N/A
3D-FM GAN: Towards 3D-Controllable Face Manipulation	Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, S.Y. Kung	PDF	N/A
Multi-Curve Translator for High-Resolution Photorealistic Image Translation	Yuda Song, Hui Qian, Xin Du	PDF	N/A
Deep Bayesian Video Frame Interpolation	Zhiyang Yu, Yu Zhang, Xujie Xiang, Dongqing Zou, Xijun Chen, Jimmy S. Ren	PDF	N/A
Cross Attention Based Style Distribution for Controllable Person Image Synthesis	Xinyue Zhou, Mingyu Yin, Xinyuan Chen, Li Sun, Changxin Gao, Qingli Li	PDF	N/A
KeypointNeRF: Generalizing Image-Based Volumetric Avatars Using Relative Spatial Encoding of Keypoints	Marko Mihajlovic, Aayush Bansal, Michael Zollhöfer, Siyu Tang, Shunsuke Saito	PDF	N/A
ViewFormer: NeRF-Free Neural Rendering from Few Images Using Transformers	Jonáš Kulhánek, Erik Derner, Torsten Sattler, Robert Babuška	PDF	N/A
L-Tracing: Fast Light Visibility Estimation on Neural Surfaces by Sphere Tracing	Ziyu Chen, Chenjing Ding, Jianfei Guo, Dongliang Wang, Yikang Li, Xuan Xiao, Wei Wu, Li Song	PDF	N/A
A Perceptual Quality Metric for Video Frame Interpolation	Qiqi Hou, Abhijay Ghildyal, Feng Liu	PDF	N/A
Adaptive Feature Interpolation for Low-Shot Image Generation	Mengyu Dai, Haibin Hang, Xiaoyang Guo	PDF	N/A
PalGAN: Image Colorization with Palette Generative Adversarial Networks	Yi Wang, Menghan Xia, Lu Qi, Jing Shao, Yu Qiao	PDF	N/A
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis	Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu	PDF	N/A
Learning Prior Feature and Attention Enhanced Image Inpainting	Chenjie Cao, Qiaole Dong, Yanwei Fu	PDF	N/A
Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning	Wenpeng Xing, Jie Chen	PDF	N/A
3D-Aware Semantic-Guided Generative Model for Human Synthesis	Jichao Zhang, Enver Sangineto, Hao Tang, Aliaksandr Siarohin, Zhun Zhong, Nicu Sebe, Wei Wang	PDF	N/A
Temporally Consistent Semantic Video Editing	Yiran Xu, Badour AlBahar, Jia-Bin Huang	PDF	N/A
Error Compensation Framework for Flow-Guided Video Inpainting	Jaeyeon Kang, Seoung Wug Oh, Seon Joo Kim	PDF	N/A
Scraping Textures from Natural Images for Synthesis and Editing	Xueting Li, Xiaolong Wang, Ming-Hsuan Yang, Alexei A. Efros, Sifei Liu	PDF	N/A
Single Stage Virtual Try-On via Deformable Attention Flows	Shuai Bai, Huiling Zhou, Zhikang Li, Chang Zhou, Hongxia Yang	PDF	N/A
Improving GANs for Long-Tailed Data through Group Spectral Regularization	Harsh Rangwani, Naman Jaswani, Tejan Karmali, Varun Jampani, R. Venkatesh Babu	PDF	N/A
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs	Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu	PDF	N/A
IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion	Seung-Jun Moon, Gyeong-Moon Park	PDF	N/A
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing	Guangcong Wang, Yinuo Yang, Chen Change Loy, Ziwei Liu	PDF	N/A
Contrastive Monotonic Pixel-Level Modulation	Kun Lu, Rongpeng Li, Honggang Zhang	PDF	N/A
Learning Cross-Video Neural Representations for High-Quality Frame Interpolation	Wentao Shangguan, Yu Sun, Weijie Gan, Ulugbek S. Kamilov	PDF	N/A
Learning Continuous Implicit Representation for Near-Periodic Patterns	Bowei Chen, Tiancheng Zhi, Martial Hebert, Srinivasa G. Narasimhan	PDF	N/A
End-to-End Graph-Constrained Vectorized Floorplan Generation with Panoptic Refinement	Jiachen Liu, Yuan Xue, Jose Duarte, Krishnendra Shekhawat, Zihan Zhou, Xiaolei Huang	PDF	N/A
Few-Shot Image Generation with Mixup-Based Distance Learning	Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak	PDF	N/A
A Style-Based GAN Encoder for High Fidelity Reconstruction of Images and Videos	Xu Yao, Alasdair Newson, Yann Gousseau, Pierre Hellier	PDF	N/A
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs	Ziqiang Li, Chaoyue Wang, Heliang Zheng, Jing Zhang, Bin Li	PDF	N/A
BlobGAN: Spatially Disentangled Scene Representations	Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros	PDF	N/A
Unified Implicit Neural Stylization	Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang	PDF	N/A
GAN with Multivariate Disentangling for Controllable Hair Editing	Xuyang Guo, Meina Kan, Tianle Chen, Shiguang Shan	PDF	N/A
Discovering Transferable Forensic Features for CNN-Generated Images Detection	Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder, Ngai-Man Cheung	PDF	N/A
Harmonizer: Learning to Perform White-Box Image and Video Harmonization	Zhanghan Ke, Chunyi Sun, Lei Zhu, Ke Xu, Rynson W.H. Lau	PDF	N/A
Text2LIVE: Text-Driven Layered Image and Video Editing	Omer Bar-Tal, Dolev Ofri-Amar, Rafail Fridman, Yoni Kasten, Tali Dekel	PDF	N/A
Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation	Jian Zhang, Jinchi Huang, Bowen Cai, Huan Fu, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, Xing Tang	PDF	N/A
StyleGAN-Human: A Data-Centric Odyssey of Human Generation	Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Chen Qian, Chen Change Loy, Wayne Wu, Ziwei Liu	PDF	N/A
ColorFormer: Image Colorization via Color Memory Assisted Hybrid-Attention Transformer	Xiaozhong Ji, Boyuan Jiang, Donghao Luo, Guangpin Tao, Wenqing Chu, Zhifeng Xie, Chengjie Wang, Ying Tai	PDF	N/A
EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs	Guohao Ying, Xin He, Bin Gao, Bo Han, Xiaowen Chu	PDF	N/A
Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation	Dae-Young Song, Geonsoo Lee, HeeKyung Lee, Gi-Mun Um, Donghyeon Cho	PDF	N/A
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation	Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang	PDF	N/A
Multimodal Conditional Image Synthesis with Product-of-Experts GANs	Xun Huang, Arun Mallya, Ting-Chun Wang, Ming-Yu Liu	PDF	N/A
Auto-Regressive Image Synthesis with Integrated Quantization	Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Changgong Zhang, Shijian Lu	PDF	N/A
JoJoGAN: One Shot Face Stylization	Min Jin Chong, David Forsyth	PDF	N/A
VecGAN: Image-to-Image Translation with Interpretable Latent Directions	Yusuf Dalva, Said Fahri Altındiş, Aysegul Dundar	PDF	N/A
Any-Resolution Training for High-Resolution Image Synthesis	Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang	PDF	N/A
CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer	Zijie Wu, Zhen Zhu, Junping Du, Xiang Bai	PDF	N/A
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression	Yung-Han Ho, Chih-Peng Chang, Peng-Yu Chen, Alessandro Gnutti, Wen-Hsiao Peng	PDF	N/A
Bi-Level Feature Alignment for Versatile Image Translation and Manipulation	Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Kaiwen Cui, Aoran Xiao, Shijian Lu, Chunyan Miao	PDF	N/A
High-Fidelity Image Inpainting with GAN Inversion	Yongsheng Yu, Libo Zhang, Heng Fan, Tiejian Luo	PDF	N/A
DeltaGAN: Towards Diverse Few-Shot Image Generation with Sample-Specific Delta	Yan Hong, Li Niu, Jianfu Zhang, Liqing Zhang	PDF	N/A
Image Inpainting with Cascaded Modulation GAN and Object-Aware Training	Haitian Zheng, Zhe Lin, Jingwan Lu, Scott Cohen, Eli Shechtman, Connelly Barnes, Jianming Zhang, Ning Xu, Sohrab Amirghodsi, Jiebo Luo	PDF	N/A
StyleFace: Towards Identity-Disentangled Face Generation on Megapixels	Yuchen Luo, Junwei Zhu, Keke He, Wenqing Chu, Ying Tai, Chengjie Wang, Junchi Yan	PDF	N/A
Video Extrapolation in Space and Time	Yunzhi Zhang, Jiajun Wu	PDF	N/A
Contrastive Learning for Diverse Disentangled Foreground Generation	Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh	PDF	N/A
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-Aided Adversarial Learning	Changgyoon Oh, Wonjune Cho, Yujeong Chae, Daehee Park, Lin Wang, Kuk-Jin Yoon	PDF	N/A
Augmentation of rPPG Benchmark Datasets: Learning to Remove and Embed rPPG Signals via Double Cycle Consistent Learning from Unpaired Facial Videos	Cheng-Ju Hsieh, Wei-Hao Chung, Chiou-Ting Hsu	PDF	N/A
Geometry-Aware Single-Image Full-Body Human Relighting	Chaonan Ji, Tao Yu, Kaiwen Guo, Jingxin Liu, Yebin Liu	PDF	N/A
3D-Aware Indoor Scene Synthesis with Depth Priors	Zifan Shi, Yujun Shen, Jiapeng Zhu, Dit-Yan Yeung, Qifeng Chen	PDF	N/A
Deep Portrait Delighting	Joshua Weir, Junhong Zhao, Andrew Chalmers, Taehyun Rhee	PDF	N/A
Vector Quantized Image-to-Image Translation	Yu-Jie Chen, Shin-I Cheng, Wei-Chen Chiu, Hung-Yu Tseng, Hsin-Ying Lee	PDF	N/A
The Surprisingly Straightforward Scene Text Removal Method with Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis	Hyeonsu Lee, Chankyu Choi	PDF	N/A
Free-Viewpoint RGB-D Human Performance Capture and Rendering	Phong Nguyen-Ha, Nikolaos Sarafianos, Christoph Lassner, Janne Heikkilä, Tony Tung	PDF	N/A
Multiview Regenerative Morphing with Dual Flows	Chih-Jung Tsai, Cheng Sun, Hwann-Tzong Chen	PDF	N/A
Hallucinating Pose-Compatible Scenes	Tim Brooks, Alexei A. Efros	PDF	N/A
Motion and Appearance Adaptation for Cross-Domain Motion Transfer	Borun Xu, Biao Wang, Jinhong Deng, Jiale Tao, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan	PDF	N/A
Layered Controllable Video Generation	Jiahui Huang, Yuhe Jin, Kwang Moo Yi, Leonid Sigal	PDF	N/A
Custom Structure Preservation in Face Aging	Guillermo Gomez-Trenado, Stéphane Lathuilière, Pablo Mesejo, Óscar Cordón	PDF	N/A
Spatio-Temporal Deformable Attention Network for Video Deblurring	Huicong Zhang, Haozhe Xie, Hongxun Yao	PDF	N/A
NeuMesh: Learning Disentangled Neural Mesh-Based Implicit Field for Geometry and Texture Editing	Bangbang Yang, Chong Bao, Junyi Zeng, Hujun Bao, Yinda Zhang, Zhaopeng Cui, Guofeng Zhang	PDF	N/A
NeRF for Outdoor Scene Relighting	Viktor Rudnev, Mohamed Elgharib, William Smith, Lingjie Liu, Vladislav Golyanik, Christian Theobalt	PDF	N/A
CoGS: Controllable Generation and Search from Sketch and Style	Cusuh Ham, Gemma Canet Tarrés, Tu Bui, James Hays, Zhe Lin, John Collomosse	PDF	N/A
HairNet: Hairstyle Transfer with Pose Changes	Peihao Zhu, Rameen Abdal, John Femiani, Peter Wonka	PDF	N/A
Unbiased Multi-Modality Guidance for Image Inpainting	Yongsheng Yu, Dawei Du, Libo Zhang, Tiejian Luo	PDF	N/A
Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents	Jaskirat Singh, Cameron Smith, Jose Echevarria, Liang Zheng	PDF	N/A
Motion Transformer for Unsupervised Image Animation	Jiale Tao, Biao Wang, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan	PDF	N/A
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion	Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan	PDF	N/A
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer	Chenyu Yang, Wanrong He, Yingqing Xu, Yang Gao	PDF	N/A
Editing Out-of-Domain GAN Inversion via Differential Activations	Haorui Song, Yong Du, Tianyi Xiang, Junyu Dong, Jing Qin, Shengfeng He	PDF	N/A
On the Robustness of Quality Measures for GANs	Motasem Alfarra, Juan C. Pérez, Anna Frühstück, Philip H. S. Torr, Peter Wonka, Bernard Ghanem	PDF	N/A
Sound-Guided Semantic Video Generation	Seung Hyun Lee, Gyeongrok Oh, Wonmin Byeon, Chanyoung Kim, Won Jeong Ryoo, Sang Ho Yoon, Hyunjun Cho, Jihyun Bae, Jinkyu Kim, Sangpil Kim	PDF	N/A
Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation	Lingzhi Zhang, Connelly Barnes, Kevin Wampler, Sohrab Amirghodsi, Eli Shechtman, Zhe Lin, Jianbo Shi	PDF	N/A
Controllable Video Generation through Global and Local Motion Dynamics	Aram Davtyan, Paolo Favaro	PDF	N/A
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN	Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang	PDF	N/A
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer	Songwei Ge, Thomas Hayes, Harry Yang, Xi Yin, Guan Pang, David Jacobs, Jia-Bin Huang, Devi Parikh	PDF	N/A
Combining Internal and External Constraints for Unrolling Shutter in Videos	Eyal Naor, Itai Antebi, Shai Bagon, Michal Irani	PDF	N/A
WISE: Whitebox Image Stylization by Example-Based Learning	Winfried Lötzsch, Max Reimann, Martin Büssemeyer, Amir Semmo, Jürgen Döllner, Matthias Trapp	PDF	N/A
Neural Radiance Transfer Fields for Relightable Novel-View Synthesis with Global Illumination	Linjie Lyu, Ayush Tewari, Thomas Leimkühler, Marc Habermann, Christian Theobalt	PDF	N/A
Transformers As Meta-Learners for Implicit Neural Representations	Yinbo Chen, Xiaolong Wang	PDF	N/A
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment	Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo	PDF	N/A
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions	Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo	PDF	N/A
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution	Hengsheng Zhang, Xueyi Zou, Jiaming Guo, Youliang Yan, Rong Xie, Li Song	PDF	N/A
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis	Jeong-gi Kwak, Yuanming Li, Dongsik Yoon, Donghyeon Kim, David Han, Hanseok Ko	PDF	N/A
AdaNeRF: Adaptive Sampling for Real-Time Rendering of Neural Radiance Fields	Andreas Kurz, Thomas Neff, Zhaoyang Lv, Michael Zollhöfer, Markus Steinberger	PDF	N/A
Improving the Perceptual Quality of 2D Animation Interpolation	Shuhong Chen, Matthias Zwicker	PDF	N/A
Selective TransHDR: Transformer-Based Selective HDR Imaging Using Ghost Region Mask	Jou Won Song, Ye-In Park, Kyeongbo Kong, Jaeho Kwak, Suk-Ju Kang	PDF	N/A
Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution	Cheng Ma, Jingyi Zhang, Jie Zhou, Jiwen Lu	PDF	N/A
GeoAug: Data Augmentation for Few-Shot NeRF with Geometry Constraints	Di Chen, Yu Liu, Lianghua Huang, Bin Wang, Pan Pan	PDF	N/A
DoodleFormer: Creative Sketch Drawing with Transformers	Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg	PDF	N/A
Implicit Neural Representations for Variable Length Human Motion Generation	Pablo Cervantes, Yusuke Sekikawa, Ikuro Sato, Koichi Shinoda	PDF	N/A
Learning Object Placement via Dual-Path Graph Completion	Siyuan Zhou, Liu Liu, Li Niu, Liqing Zhang	PDF	N/A
Expanded Adaptive Scaling Normalization for End to End Image Compression	Chajin Shin, Hyeongmin Lee, Hanbin Son, Sangjin Lee, Dogyoon Lee, Sangyoun Lee	PDF	N/A
Generator Knows What Discriminator Should Learn in Unconditional GANs	Gayoung Lee, Hyunsu Kim, Junho Kim, Seonghyeon Kim, Jung-Woo Ha, Yunjey Choi	PDF	N/A
Compositional Visual Generation with Composable Diffusion Models	Nan Liu, Shuang Li, Yilun Du, Antonio Torralba, Joshua B. Tenenbaum	PDF	N/A
ManiFest: Manifold Deformation for Few-Shot Image Translation	Fabio Pizzati, Jean-François Lalonde, Raoul de Charette	PDF	N/A
Supervised Attribute Information Removal and Reconstruction for Image Manipulation	Nannan Li, Bryan A. Plummer	PDF	N/A
BLT: Bidirectional Layout Transformer for Controllable Layout Generation	Xiang Kong, Lu Jiang, Huiwen Chang, Han Zhang, Yuan Hao, Haifeng Gong, Irfan Essa	PDF	N/A
Diverse Generation from a Single Video Made Possible	Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani	PDF	N/A
Rayleigh EigenDirections (REDs): Nonlinear GAN Latent Space Traversals for Multidimensional Features	Guha Balakrishnan, Raghudeep Gadde, Aleix Martinez, Pietro Perona	PDF	N/A
Bridging the Domain Gap towards Generalization in Automatic Colorization	Hyejin Lee, Daehee Kim, Daeun Lee, Jinkyu Kim, Jaekoo Lee	PDF	N/A
Generating Natural Images with Direct Patch Distributions Matching	Ariel Elnekave, Yair Weiss	PDF	N/A
Context-Consistent Semantic Image Editing with Style-Preserved Modulation	Wuyang Luo, Su Yang, Hong Wang, Bo Long, Weishan Zhang	PDF	N/A
Eliminating Gradient Conflict in Reference-Based Line-Art Colorization	Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang	PDF	N/A
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations	Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada	PDF	N/A
JPEG Artifacts Removal via Contrastive Representation Learning	Xi Wang, Xueyang Fu, Yurui Zhu, Zheng-Jun Zha	PDF	N/A
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning	Xiang Chen, Zhentao Fan, Pengpeng Li, Longgang Dai, Caihua Kong, Zhuoran Zheng, Yufeng Huang, Yufeng Li	PDF	N/A
Efficient Long-Range Attention Network for Image Super-Resolution	Xindong Zhang, Hui Zeng, Shi Guo, Lei Zhang	PDF	N/A
FlowFormer: A Transformer Architecture for Optical Flow	Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, Hongsheng Li	PDF	N/A
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction	Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool	PDF	N/A
Learning Shadow Correspondence for Video Shadow Detection	Xinpeng Ding, Jingwen Yang, Xiaowei Hu, Xiaomeng Li	PDF	N/A
Metric Learning Based Interactive Modulation for Real-World Super-Resolution	Chong Mou, Yanze Wu, Xintao Wang, Chao Dong, Jian Zhang, Ying Shan	PDF	N/A
Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks	Yunshan Zhong, Mingbao Lin, Xunchao Li, Ke Li, Yunhang Shen, Fei Chao, Yongjian Wu, Rongrong Ji	PDF	N/A
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers	Jialun Pei, Tianyang Cheng, Deng-Ping Fan, He Tang, Chuanbo Chen, Luc Van Gool	PDF	N/A
Highly Accurate Dichotomous Image Segmentation	Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool	PDF	N/A
Boosting Supervised Dehazing Methods via Bi-Level Patch Reweighting	Xingyu Jiang, Hongkun Dou, Chengwei Fu, Bingquan Dai, Tianrun Xu, Yue Deng	PDF	N/A
Flow-Guided Transformer for Video Inpainting	Kaidong Zhang, Jingjing Fu, Dong Liu	PDF	N/A
Shift-tolerant Perceptual Similarity Metric	Abhijay Ghildyal, Feng Liu	PDF	N/A
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution	Yuehan Zhang, Bo Ji, Jia Hao, Angela Yao	PDF	N/A
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder	Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng	PDF	N/A
Uncertainty Learning in Kernel Estimation for Multi-stage Blind Image Super-Resolution	Zhenxuan Fang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi	PDF	N/A
Learning Spatio-Temporal Downsampling for Effective Video Upscaling	Xiaoyu Xiang, Yapeng Tian, Vijay Rengarajan, Lucas D. Young, Bo Zhu, Rakesh Ranjan	PDF	N/A
Learning Local Implicit Fourier Representation for Image Warping	Jaewon Lee, Kwang Pyo Choi, Kyong Hwan Jin	PDF	N/A
SepLUT: Separable Image-Adaptive Lookup Tables for Real-Time Image Enhancement	Canqian Yang, Meiguang Jin, Yi Xu, Rui Zhang, Ying Chen, Huaida Liu	PDF	N/A
Blind Image Decomposition	Junlin Han, Weihao Li, Pengfei Fang, Chunyi Sun, Jie Hong, Mohammad Ali Armin, Lars Petersson, Hongdong Li	PDF	N/A
MuLUT: Cooperating Multiple Look-Up Tables for Efficient Image Super-Resolution	Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong	PDF	N/A
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution	Zhongwei Qiu, Huan Yang, Jianlong Fu, Dongmei Fu	PDF	N/A
Spatial-Frequency Domain Information Integration for Pan-Sharpening	Man Zhou, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao	PDF	N/A
Adaptive Patch Exiting for Scalable Single Image Super-Resolution	Shizun Wang, Jiaming Liu, Kaixin Chen, Xiaoqi Li, Ming Lu, Yandong Guo	PDF	N/A
Efficient Meta-Tuning for Content-Aware Neural Video Delivery	Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang	PDF	N/A
Reference-Based Image Super-Resolution with Deformable Attention Transformer	Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool	PDF	N/A
Local Color Distributions Prior for Image Enhancement	Haoyuan Wang, Ke Xu, Rynson W.H. Lau	PDF	N/A
L-CoDer: Language-Based Colorization with Color-Object Decoupling Transformer	Zheng Chang, Shuchen Weng, Yu Li, Si Li, Boxin Shi	PDF	N/A
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution	Xiaoming Li, Chaofeng Chen, Xianhui Lin, Wangmeng Zuo, Lei Zhang	PDF	N/A
Towards Interpretable Video Super-Resolution via Alternating Optimization	Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool	PDF	N/A
Event-Based Fusion for Motion Deblurring with Cross-Modal Attention	Lei Sun, Christos Sakaridis, Jingyun Liang, Qi Jiang, Kailun Yang, Peng Sun, Yaozu Ye, Kaiwei Wang, Luc Van Gool	PDF	N/A
Fast and High Quality Image Denoising via Malleable Convolution	Yifan Jiang, Bartlomiej Wronski, Ben Mildenhall, Jonathan T. Barron, Zhangyang Wang, Tianfan Xue	PDF	N/A
TAPE: Task-Agnostic Prior Embedding for Image Restoration	Lin Liu, Lingxi Xie, Xiaopeng Zhang, Shanxin Yuan, Xiangyu Chen, Wengang Zhou, Houqiang Li, Qi Tian	PDF	N/A
Uncertainty Inspired Underwater Image Enhancement	Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma	PDF	N/A
Hourglass Attention Network for Image Inpainting	Ye Deng, Siqi Hui, Rongye Meng, Sanping Zhou, Jinjun Wang	PDF	N/A
Unfolded Deep Kernel Estimation for Blind Image Super-Resolution	Hongyi Zheng, Hongwei Yong, Lei Zhang	PDF	N/A
Event-Guided Deblurring of Unknown Exposure Time Videos	Taewoo Kim, Jeongmin Lee, Lin Wang, Kuk-Jin Yoon	PDF	N/A
ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-Modality Image Fusion	Zhanbo Huang, Jinyuan Liu, Xin Fan, Risheng Liu, Wei Zhong, Zhongxuan Luo	PDF	N/A
Content Adaptive Latents and Decoder for Neural Image Compression	Guanbo Pan, Guo Lu, Zhihao Hu, Dong Xu	PDF	N/A
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution	Jie Liang, Hui Zeng, Lei Zhang	PDF	N/A
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-Ahead Forward Ones	Junyi Li, Xiaohe Wu, Zhenxing Niu, Wangmeng Zuo	PDF	N/A
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations	Zhilu Zhang, Ruohao Wang, Hongzhi Zhang, Yunjin Chen, Wangmeng Zuo	PDF	N/A
Secrets of Event-Based Optical Flow	Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego	PDF	N/A
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoiréing	Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi	PDF	N/A
ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring	Bangrui Jiang, Zhihuai Xie, Zhen Xia, Songnan Li, Shan Liu	PDF	N/A
Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion	Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita	PDF	N/A
ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration for Adverse Weather-Affected Images	Rajeev Yasarla, Carey E. Priebe, Vishal M. Patel	PDF	N/A
Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion	Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma	PDF	N/A
Learning Degradation Representations for Image Deblurring	Dasong Li, Yi Zhang, Ka Chun Cheung, Xiaogang Wang, Hongwei Qin, Hongsheng Li	PDF	N/A
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution	Xiaoyu Dong, Naoto Yokoya, Longguang Wang, Tatsumi Uezato	PDF	N/A
Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration	Wei He, Quanming Yao, Naoto Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang	PDF	N/A
Neural Color Operators for Sequential Image Retouching	Yili Wang, Xin Li, Kun Xu, Dongliang He, Qi Zhang, Fu Li, Errui Ding	PDF	N/A
Optimizing Image Compression via Joint Learning with Denoising	Ka Leong Cheng, Yueqi Xie, Qifeng Chen	PDF	N/A
"Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks"	Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu	PDF	N/A
Compiler-Aware Neural Architecture Search for On-Mobile Real-Time Super-Resolution	Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang	PDF	N/A
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction	Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao	PDF	N/A
Perceiving and Modeling Density for Image Dehazing	Tian Ye, Yunchen Zhang, Mingchao Jiang, Liang Chen, Yun Liu, Sixiang Chen, Erkang Chen	PDF	N/A
Stripformer: Strip Transformer for Fast Image Deblurring	Fu-Jen Tsai, Yan-Tsung Peng, Yen-Yu Lin, Chung-Chi Tsai, Chia-Wen Lin	PDF	N/A
Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction	Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, Zhiwei Xiong	PDF	N/A
Frequency and Spatial Dual Guidance for Image Dehazing	Hu Yu, Naishan Zheng, Man Zhou, Jie Huang, Zeyu Xiao, Feng Zhao	PDF	N/A
Towards Real-World HDRTV Reconstruction: A Data Synthesis-Based Approach	Zhen Cheng, Tao Wang, Yong Li, Fenglong Song, Chang Chen, Zhiwei Xiong	PDF	N/A
Learning Discriminative Shrinkage Deep Networks for Image Deconvolution	Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang	PDF	N/A
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution	Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu	PDF	N/A
ARM: Any-Time Super-Resolution Method	Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji	PDF	N/A
Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines	Haina Qin, Longfei Han, Juan Wang, Congxuan Zhang, Yanwei Li, Bing Li, Weiming Hu	PDF	N/A
RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos	Yunhui Han, Kunming Luo, Ao Luo, Jiangyu Liu, Haoqiang Fan, Guiming Luo, Shuaicheng Liu	PDF	N/A
Memory-Augmented Model-Driven Network for Pansharpening	Keyu Yan, Man Zhou, Li Zhang, Chengjun Xie	PDF	N/A
All You Need Is RAW: Defending against Adversarial Attacks with Camera Image Pipelines	Yuxuan Zhang, Bo Dong, Felix Heide	PDF	N/A
Ghost-Free High Dynamic Range Imaging with Context-Aware Transformer	Zhen Liu, Yinglong Wang, Bing Zeng, Shuaicheng Liu	PDF	N/A
Style-Guided Shadow Removal	Jin Wan, Hui Yin, Zhenyao Wu, Xinyi Wu, Yanting Liu, Song Wang	PDF	N/A
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution	Youwei Li, Haibin Huang, Lanpeng Jia, Haoqiang Fan, Shuaicheng Liu	PDF	N/A
GRIT-VLP: Grouped Mini-Batch Sampling for Efficient Vision and Language Pre-training	Jaeseok Byun, Taebaek Hwang, Jianlong Fu, Taesup Moon	PDF	N/A
Efficient Video Deblurring Guided by Motion Magnitude	Yusheng Wang, Yunfan Lu, Ye Gao, Lin Wang, Zhihang Zhong, Yinqiang Zheng, Atsushi Yamashita	PDF	N/A
Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model	Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan	PDF	N/A
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression	A. Burakhan Koyuncu, Han Gao, Atanas Boev, Georgii Gaikov, Elena Alshina, Eckehard Steinbach	PDF	N/A
Image Super-Resolution with Deep Dictionary	Shunta Maeda	PDF	N/A
TempFormer: Temporally Consistent Transformer for Video Denoising	Mingyang Song, Yang Zhang, Tunç O. Aydın	PDF	N/A
RAWtoBit: A Fully End-to-End Camera ISP Network	Wooseok Jeong, Seung-Won Jung	PDF	N/A
DRCNet: Dynamic Image Restoration Contrastive Network	Fei Li, Lingfeng Shen, Yang Mi, Zhenbo Li	PDF	N/A
Zero-Shot Learning for Reflection Removal of Single 360-Degree Image	Byeong-Ju Han, Jae-Young Sim	PDF	N/A
Transformer with Implicit Edges for Particle-Based Physics Simulation	Yidi Shao, Chen Change Loy, Bo Dai	PDF	N/A
Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior	Shuai Wang, Lei Zhu, Huazhu Fu, Jing Qin, Carola-Bibiane Schönlieb, Wei Feng, Song Wang	PDF	N/A
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images	Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan	PDF	N/A
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance	Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato	PDF	N/A
AlphaVC: High-Performance and Efficient Learned Video Compression	Yibo Shi, Yunying Ge, Jing Wang, Jue Mao	PDF	N/A
Content-Oriented Learned Image Compression	Meng Li, Shangyin Gao, Yihui Feng, Yibo Shi, Jing Wang	PDF	N/A
RRSR:Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection	Lin Zhang, Xin Li, Dongliang He, Fu Li, Yili Wang, Zhaoxiang Zhang	PDF	N/A
Contrastive Prototypical Network with Wasserstein Confidence Penalty	Haoqing Wang, Zhi-Hong Deng	PDF	N/A
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition	Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang	PDF	N/A
Self-Support Few-Shot Semantic Segmentation	Qi Fan, Wenjie Pei, Yu-Wing Tai, Chi-Keung Tang	PDF	N/A
Few-Shot Object Detection with Model Calibration	Qi Fan, Chi-Keung Tang, Yu-Wing Tai	PDF	N/A
Self-Supervision Can Be a Good Few-Shot Learner	Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian	PDF	N/A
tSF: Transformer-Based Semantic Filter for Few-Shot Learning	Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang	PDF	N/A
Adversarial Feature Augmentation for Cross-Domain Few-Shot Classification	Yanxu Hu, Andy J. Ma	PDF	N/A
Constructing Balance from Imbalance for Long-Tailed Image Recognition	Yue Xu, Yong-Lu Li, Jiefeng Li, Cewu Lu	PDF	N/A
"On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond"	Yuzhe Yang, Hao Wang, Dina Katabi	PDF	N/A
Few-Shot Video Object Detection	Qi Fan, Chi-Keung Tang, Yu-Wing Tai	PDF	N/A
Worst Case Matters for Few-Shot Recognition	Minghao Fu, Yun-Hao Cao, Jianxin Wu	PDF	N/A
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification	Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny	PDF	N/A
Doubly Deformable Aggregation of Covariance Matrices for Few-Shot Segmentation	Zhitong Xiong, Haopeng Li, Xiao Xiang Zhu	PDF	N/A
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation	Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng	PDF	N/A
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning	Xingping Dong, Jianbing Shen, Ling Shao	PDF	N/A
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition	Shreyank N Gowda, Laura Sevilla-Lara, Frank Keller, Marcus Rohrbach	PDF	N/A
Few-Shot Class-Incremental Learning for 3D Point Cloud Objects	Townim Chowdhury, Ali Cheraghian, Sameera Ramasinghe, Sahar Ahmadi, Morteza Saberi, Shafin Rahman	PDF	N/A
Meta-Learning with Less Forgetting on Large-Scale Non-stationary Task Distributions	Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao	PDF	N/A
DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment	Ziyu Jiang, Tianlong Chen, Xuxi Chen, Yu Cheng, Luowei Zhou, Lu Yuan, Ahmed Awadallah, Zhangyang Wang	PDF	N/A
Learning Instance and Task-Aware Dynamic Kernels for Few-Shot Learning	Rongkai Ma, Pengfei Fang, Gil Avraham, Yan Zuo, Tianyu Zhu, Tom Drummond, Mehrtash Harandi	PDF	N/A
Open-World Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding	Quande Liu, Youpeng Wen, Jianhua Han, Chunjing Xu, Hang Xu, Xiaodan Liang	PDF	N/A
Few-Shot Classification with Contrastive Learning	Zhanyuan Yang, Jinghua Wang, Yingying Zhu	PDF	N/A
Time-rEversed diffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection	Shan Zhang, Naila Murray, Lei Wang, Piotr Koniusz	PDF	N/A
Self-Promoted Supervision for Few-Shot Transformer	Bowen Dong, Pan Zhou, Shuicheng Yan, Wangmeng Zuo	PDF	N/A
Few-Shot Object Counting and Detection	Thanh Nguyen, Chau Pham, Khoi Nguyen, Minh Hoai	PDF	N/A
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark	Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer	PDF	N/A
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations	Wentao Chen, Zhang Zhang, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan	PDF	N/A
Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection	Tianxue Ma, Mingwei Bi, Jian Zhang, Wang Yuan, Zhizhong Zhang, Yuan Xie, Shouhong Ding, Lizhuang Ma	PDF	N/A
Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-Shot Medical Image Segmentation	Huisi Wu, Fangyan Xiao, Chongxin Liang	PDF	N/A
Improving Few-Shot Learning through Multi-task Representation Learning Theory	Quentin Bouniot, Ievgen Redko, Romaric Audigier, Angélique Loesch, Amaury Habrard	PDF	N/A
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation	Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang	PDF	N/A
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments	Khoi D. Nguyen, Quoc-Huy Tran, Khoi Nguyen, Binh-Son Hua, Rang Nguyen	PDF	N/A
Temporal and Cross-Modal Attention for Audio-Visual Zero-Shot Learning	Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata	PDF	N/A
HM: Hybrid Masking for Few-Shot Segmentation	Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia	PDF	N/A
TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning	Haoquan Li, Laoming Zhang, Daoan Zhang, Lang Fu, Peng Yang, Jianguo Zhang	PDF	N/A
Kernel Relative-Prototype Spectral Filtering for Few-Shot Learning	Tao Zhang, Wu Huang	PDF	N/A
"“This Is My Unicorn, Fluffy”: Personalizing Frozen Vision-Language Representations"	Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon	PDF	N/A
CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS	Zixuan Zhou, Xuefei Ning, Yi Cai, Jiashu Han, Yiping Deng, Yuhan Dong, Huazhong Yang, Yu Wang	PDF	N/A
Streamable Neural Fields	Junwoo Cho, Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park	PDF	N/A
Gradient-Based Uncertainty for Monocular Depth Estimation	Julia Hornauer, Vasileios Belagiannis	PDF	N/A
Online Continual Learning with Contrastive Vision Transformer	Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, Dacheng Tao	PDF	N/A
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution	Taeho Kim, Yongin Kwon, Jemin Lee, Taeho Kim, Sangtae Ha	PDF	N/A
EAutoDet: Efficient Architecture Search for Object Detection	Xiaoxing Wang, Jiale Lin, Juanping Zhao, Xiaokang Yang, Junchi Yan	PDF	N/A
A Max-Flow Based Approach for Neural Architecture Search	Chao Xue, Xiaoxing Wang, Junchi Yan, Chun-Guang Li	PDF	N/A
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses	Robik Shrestha, Kushal Kafle, Christopher Kanan	PDF	N/A
ERA: Enhanced Rational Activations	Martin Trimmel, Mihai Zanfir, Richard Hartley, Cristian Sminchisescu	PDF	N/A
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger	Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu	PDF	N/A
Active Label Correction Using Robust Parameter Update and Entropy Propagation	Kwang In Kim	PDF	N/A
Unpaired Image Translation via Vector Symbolic Architectures	Justin Theiss, Jay Leverett, Daeil Kim, Aayush Prakash	PDF	N/A
"UniNet: Unified Architecture Search with Convolution, Transformer, and MLP"	Jihao Liu, Xin Huang, Guanglu Song, Hongsheng Li, Yu Liu	PDF	N/A
AMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers	Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu	PDF	N/A
TinyViT: Fast Pretraining Distillation for Small Vision Transformers	Kan Wu, Jinnian Zhang, Houwen Peng, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan	PDF	N/A
Equivariant Hypergraph Neural Networks	Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong	PDF	N/A
ScaleNet: Searching for the Model to Scale	Jiyang Xie, Xiu Su, Shan You, Zhanyu Ma, Fei Wang, Chen Qian	PDF	N/A
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction	Vincent Le Guen, Clément Rambour, Nicolas Thome	PDF	N/A
ViTAS: Vision Transformer Architecture Search	Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu	PDF	N/A
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds	Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov	PDF	N/A
Uncertainty-DTW for Time Series and Sequences	Lei Wang, Piotr Koniusz	PDF	N/A
Black-Box Few-Shot Knowledge Distillation	Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh	PDF	N/A
Revisiting Batch Norm Initialization	Jim Davis, Logan Frank	PDF	N/A
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling	Ho Man Kwan, Shenghui Song	PDF	N/A
Filter Pruning via Feature Discrimination in Deep Neural Networks	Zhiqiang He, Yaguan Qian, Yuqi Wang, Bin Wang, Xiaohui Guan, Zhaoquan Gu, Xiang Ling, Shaoning Zeng, Haijiang Wang, Wujie Zhou	PDF	N/A
LA3: Efficient Label-Aware AutoAugment	Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu	PDF	N/A
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps	Alireza Ganjdanesh, Shangqian Gao, Heng Huang	PDF	N/A
BA-Net: Bridge Attention for Deep Convolutional Neural Networks	Yue Zhao, Junzhou Chen, Zirui Zhang, Ronghui Zhang	PDF	N/A
SAU: Smooth Activation Function Using Convolution with Approximate Identities	Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey	PDF	N/A
Multi-Exit Semantic Segmentation Networks	Alexandros Kouris, Stylianos I. Venieris, Stefanos Laskaridis, Nicholas Lane	PDF	N/A
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks	Bernd Prach, Christoph H. Lampert	PDF	N/A
PointScatter: Point Set Representation for Tubular Structure Extraction	Dong Wang, Zhao Zhang, Ziwei Zhao, Yuhang Liu, Yihong Chen, Liwei Wang	PDF	N/A
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection	Ziwei Zhao, Dong Wang, Yihong Chen, Ziteng Wang, Liwei Wang	PDF	N/A
Graph-Constrained Contrastive Regularization for Semi-Weakly Volumetric Segmentation	Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen	PDF	N/A
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration	Ziqi Zhou, Lei Qi, Yinghuan Shi	PDF	N/A
Auto-FedRL: Federated Hyperparameter Optimization for Multi-Institutional Medical Image Segmentation	Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie Harmon, Evrim Turkbey, Baris Turkbey, Bradford Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth	PDF	N/A
Personalizing Federated Medical Image Segmentation via Local Calibration	Jiacheng Wang, Yueming Jin, Liansheng Wang	PDF	N/A
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement	Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang	PDF	N/A
Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization	Ming-Yang Ho, Min-Sheng Wu, Che-Ming Wu	PDF	N/A
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation	Wenxuan Wang, Chen Chen, Jing Wang, Sen Zha, Yan Zhang, Jiangyun Li	PDF	N/A
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images	Jiawei Yang, Hanbo Chen, Yuan Liang, Junzhou Huang, Lei He, Jianhua Yao	PDF	N/A
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images	Axel Levy, Frédéric Poitevin, Julien Martel, Youssef Nashed, Ariana Peck, Nina Miolane, Daniel Ratner, Mike Dunne, Gordon Wetzstein	PDF	N/A
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier	Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu	PDF	N/A
DLME: Deep Local-Flatness Manifold Embedding	Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li	PDF	N/A
Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching	Jiazhen Liu, Xirong Li, Qijie Wei, Jie Xu, Dayong Ding	PDF	N/A
Graph Neural Network for Cell Tracking in Microscopy Videos	Tal Ben-Haim, Tammy Riklin Raviv	PDF	N/A
CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation	Yujin Oh, Jong Chul Ye	PDF	N/A
Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse Labels	Qinwen Huang, Ye Zhou, Hsuan-Fu Liu, Alberto Bartesaghi	PDF	N/A
K-SALSA: K-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment	Minkyu Jeon, Hyeonjin Park, Hyunwoo J. Kim, Michael Morley, Hyunghoon Cho	PDF	N/A
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-Guided Disease Classification	Moinak Bhattacharya, Shubham Jain, Prateek Prasanna	PDF	N/A
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images	Kevin Thandiackal, Boqi Chen, Pushpak Pati, Guillaume Jaume, Drew F. K. Williamson, Maria Gabrani, Orcun Goksel	PDF	N/A
Learning Uncoupled-Modulation CVAE for 3D Action-Conditioned Human Motion Synthesis	Chongyang Zhong, Lei Hu, Zihao Zhang, Shihong Xia	PDF	N/A
Towards Grand Unification of Object Tracking	Bin Yan, Yi Jiang, Peize Sun, Dong Wang, Zehuan Yuan, Ping Luo, Huchuan Lu	PDF	N/A
ByteTrack: Multi-Object Tracking by Associating Every Detection Box	Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang	PDF	N/A
Robust Multi-Object Tracking by Marginal Inference	Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu	PDF	N/A
PolarMOT: How Far Can Geometric Relations Take Us in 3D Multi-Object Tracking?	Aleksandr Kim, Guillem Brasó, Aljoša Ošep, Laura Leal-Taixé	PDF	N/A
Particle Video Revisited: Tracking through Occlusions Using Point Trajectories	Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki	PDF	N/A
Tracking Objects As Pixel-Wise Distributions	Zelin Zhao, Ze Wu, Yueqing Zhuang, Boxun Li, Jiaya Jia	PDF	N/A
CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds	Zhiyang Guo, Yunyao Mao, Wengang Zhou, Min Wang, Houqiang Li	PDF	N/A
Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline	Jinyu Yang, Zhongqun Zhang, Zhe Li, Hyung Jin Chang, Aleš Leonardis, Feng Zheng	PDF	N/A
Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting	Dooseop Choi, KyoungWook Min	PDF	N/A
AiATrack: Attention in Attention for Transformer Visual Tracking	Shenyuan Gao, Chunluan Zhou, Chao Ma, Xinggang Wang, Junsong Yuan	PDF	N/A
Disentangling Architecture and Training for Optical Flow	Deqing Sun, Charles Herrmann, Fitsum Reda, Michael Rubinstein, David J. Fleet, William T. Freeman	PDF	N/A
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow	Jenny Schmalfuss, Philipp Scholze, Andrés Bruhn	PDF	N/A
Robust Landmark-Based Stent Tracking in X-Ray Fluoroscopy	Luojie Huang, Yikang Liu, Li Chen, Eric Z. Chen, Xiao Chen, Shanhui Sun	PDF	N/A
Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations	Song Wen, Hao Wang, Dimitris N. Metaxas	PDF	N/A
Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction	Li-Wu Tsao, Yan-Kai Wang, Hao-Siang Lin, Hong-Han Shuai, Lai-Kuan Wong, Wen-Huang Cheng	PDF	N/A
Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors	Sirui Xu, Yu-Xiong Wang, Liang-Yan Gui	PDF	N/A
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction	Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon	PDF	N/A
Sequential Multi-View Fusion Network for Fast LiDAR Point Motion Estimation	Gang Zhang, Xiaoyan Li, Zhenhua Wang	PDF	N/A
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs	Yanyan Li, Federico Tombari	PDF	N/A
Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving	Sukai Wang, Ming Liu	PDF	N/A
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework	Botao Ye, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen	PDF	N/A
MotionCLIP: Exposing Human Motion Generation to CLIP Space	Guy Tevet, Brian Gordon, Amir Hertz, Amit H. Bermano, Daniel Cohen-Or	PDF	N/A
Backbone Is All Your Need: A Simplified Architecture for Visual Object Tracking	Boyu Chen, Peixia Li, Lei Bai, Lei Qiao, Qiuhong Shen, Bo Li, Weihao Gan, Wei Wu, Wanli Ouyang	PDF	N/A
Aware of the History: Trajectory Forecasting with the Local Behavior Data	Yiqi Zhong, Zhenyang Ni, Siheng Chen, Ulrich Neumann	PDF	N/A
Optical Flow Training under Limited Label Budget via Active Learning	Shuai Yuan, Xian Sun, Hannah Kim, Shuzhi Yu, Carlo Tomasi	PDF	N/A
Hierarchical Feature Embedding for Visual Tracking	Zhixiong Pi, Weitao Wan, Chong Sun, Changxin Gao, Nong Sang, Chen Li	PDF	N/A
Tackling Background Distraction in Video Object Segmentation	Suhwan Cho, Heansung Lee, Minhyeok Lee, Chaewon Park, Sungjun Jang, Minjung Kim, Sangyoun Lee	PDF	N/A
Social-Implicit: Rethinking Trajectory Prediction Evaluation and the Effectiveness of Implicit Maximum Likelihood Estimation	Abduallah Mohamed, Deyao Zhu, Warren Vu, Mohamed Elhoseiny, Christian Claudel	PDF	N/A
TEMOS: Generating Diverse Human Motions from Textual Descriptions	Mathis Petrovich, Michael J. Black, Gül Varol	PDF	N/A
Tracking Every Thing in the Wild	Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu	PDF	N/A
HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance	Soshi Shimada, Vladislav Golyanik, Zhi Li, Patrick Pérez, Weipeng Xu, Christian Theobalt	PDF	N/A
Towards Sequence-Level Training for Visual Tracking	Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho	PDF	N/A
Learned Monocular Depth Priors in Visual-Inertial Initialization	Yunwen Zhou, Abhishek Kar, Eric Turner, Adarsh Kowdle, Chao X. Guo, Ryan C. DuToit, Konstantine Tsotsos	PDF	N/A
Robust Visual Tracking by Segmentation	Matthieu Paul, Martin Danelljan, Christoph Mayer, Luc Van Gool	PDF	N/A
MeshLoc: Mesh-Based Visual Localization	Vojtech Panek, Zuzana Kukelova, Torsten Sattler	PDF	N/A
S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction	Yu-Wen Chen, Hsuan-Kung Yang, Chu-Chi Chiu, Chun-Yi Lee	PDF	N/A
Large-Displacement 3D Object Tracking with Hybrid Non-local Optimization	Xuhui Tian, Xinran Lin, Fan Zhong, Xueying Qin	PDF	N/A
"FEAR: Fast, Efficient, Accurate and Robust Visual Tracker"	Vasyl Borsuk, Roman Vei, Orest Kupyn, Tetiana Martyniuk, Igor Krashenyi, Jiři Matas	PDF	N/A
PREF: Predictability Regularized Neural Motion Fields	Liangchen Song, Xuan Gong, Benjamin Planche, Meng Zheng, David Doermann, Junsong Yuan, Terrence Chen, Ziyan Wu	PDF	N/A
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums	Conghao Wong, Beihao Xia, Ziming Hong, Qinmu Peng, Wei Yuan, Qiong Cao, Yibo Yang, Xinge You	PDF	N/A
"HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking"	Haoxian Zhang, Yonggen Ling	PDF	N/A
RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer	Jianfeng Xiang, Junliang Chen, Wenshuang Liu, Xianxu Hou, Linlin Shen	PDF	N/A
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image	Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang	PDF	N/A
Entropy-Driven Sampling and Training Scheme for Conditional Diffusion Generation	Guangcong Zheng, Shengming Li, Hui Wang, Taiping Yao, Yang Chen, Shouhong Ding, Xi Li	PDF	N/A
Accelerating Score-Based Generative Models with Preconditioned Diffusion Sampling	Hengyuan Ma, Li Zhang, Xiatian Zhu, Jianfeng Feng	PDF	N/A
Learning to Generate Realistic LiDAR Point Clouds	Vlas Zyrianov, Xiyue Zhu, Shenlong Wang	PDF	N/A
RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds	Tuan-Anh Vu, Thanh Nguyen, Binh-Son Hua, Quang-Hieu Pham, Sai-Kit Yeung	PDF	N/A
Diverse Image Inpainting with Normalizing Flow	Cairong Wang, Yiming Zhu, Chun Yuan	PDF	N/A
Improved Masked Image Generation with Token-Critic	José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa	PDF	N/A
TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation	Junghyuk Lee, Jong-Seok Lee	PDF	N/A
Exploring Gradient-Based Multi-directional Controls in GANs	Zikun Chen, Ruowei Jiang, Brendan Duke, Han Zhao, Parham Aarabi	PDF	N/A
Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition	Tianyu Wang, Miaomiao Liu, Kee Siong Ng	PDF	N/A
Neural Scene Decoration from a Single Photograph	Hong-Wing Pang, Yingshu Chen, Phuoc-Hieu Le, Binh-Son Hua, Thanh Nguyen, Sai-Kit Yeung	PDF	N/A
Outpainting by Queries	Kai Yao, Penglei Gao, Xi Yang, Jie Sun, Rui Zhang, Kaizhu Huang	PDF	N/A
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes	Sam Bond-Taylor, Peter Hessey, Hiroshi Sasaki, Toby P. Breckon, Chris G. Willcocks	PDF	N/A
ChunkyGAN: Real Image Inversion via Segments	Adéla Šubrtová, David Futschik, Jan Čech, Michal Lukáč, Eli Shechtman, Daniel Sýkora	PDF	N/A
GAN Cocktail: Mixing GANs without Dataset Access	Omri Avrahami, Dani Lischinski, Ohad Fried	PDF	N/A
Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering	Mingfei Chen, Jianfeng Zhang, Xiangyu Xu, Lijuan Liu, Yujun Cai, Jiashi Feng, Shuicheng Yan	PDF	N/A
Controllable Shadow Generation Using Pixel Height Maps	Yichen Sheng, Yifan Liu, Jianming Zhang, Wei Yin, A. Cengiz Oztireli, He Zhang, Zhe Lin, Eli Shechtman, Bedrich Benes	PDF	N/A
Learning Where to Look – Generative NAS Is Surprisingly Efficient	Jovita Lukasik, Steffen Jung, Margret Keuper	PDF	N/A
Subspace Diffusion Generative Models	Bowen Jing, Gabriele Corso, Renato Berlinghieri, Tommi Jaakkola	PDF	N/A
DuelGAN: A Duel between Two Discriminators Stabilizes the GAN Training	Jiaheng Wei, Minghao Liu, Jiahao Luo, Andrew Zhu, James Davis, Yang Liu	PDF	N/A
MINER: Multiscale Implicit Neural Representation	Vishwanath Saragadam, Jasper Tan, Guha Balakrishnan, Richard G. Baraniuk, Ashok Veeraraghavan	PDF	N/A
An Embedded Feature Whitening Approach to Deep Neural Network Optimization	Hongwei Yong, Lei Zhang	PDF	N/A
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization	Alp Yurtsever, Tolga Birdal, Vladislav Golyanik	PDF	N/A
Self-Supervised Learning of Visual Graph Matching	Chang Liu, Shaofeng Zhang, Xiaokang Yang, Junchi Yan	PDF	N/A
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models	Xuxi Chen, Tianlong Chen, Yu Cheng, Weizhu Chen, Ahmed Awadallah, Zhangyang Wang	PDF	N/A
QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving lq-Norm Optimization Problem	Gang-Xuan Lin, Shih-Wei Hu, Chun-Shien Lu	PDF	N/A
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning	Qiankun Gao, Chen Zhao, Bernard Ghanem, Jian Zhang	PDF	N/A
Domain Generalization by Mutual-Information Regularization with Pre-trained Models	Junbum Cha, Kyungjae Lee, Sungrae Park, Sanghyuk Chun	PDF	N/A
Predicting Is Not Understanding: Recognizing and Addressing Underspecification in Machine Learning	Damien Teney, Maxime Peyrard, Ehsan Abbasnejad	PDF	N/A
Neural-Sim: Learning to Generate Training Data with NeRF	Yunhao Ge, Harkirat Behl, Jiashu Xu, Suriya Gunasekar, Neel Joshi, Yale Song, Xin Wang, Laurent Itti, Vibhav Vineet	PDF	N/A
Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning	Hanwei Fan, Jiandong Mu, Wei Zhang	PDF	N/A
Learned Variational Video Color Propagation	Markus Hofinger, Erich Kobler, Alexander Effland, Thomas Pock	PDF	N/A
Continual Variational Autoencoder Learning via Online Cooperative Memorization	Fei Ye, Adrian G. Bors	PDF	N/A
Learning to Learn with Smooth Regularization	Yuanhao Xiong, Cho-Jui Hsieh	PDF	N/A
Incremental Task Learning with Incremental Rank Updates	Rakib Hyder, Ken Shao, Boyu Hou, Panos Markopoulos, Ashley Prater-Bennette, M. Salman Asif	PDF	N/A
Batch-Efficient EigenDecomposition for Small and Medium Matrices	Yue Song, Nicu Sebe, Wei Wang	PDF	N/A
Ensemble Learning Priors Driven Deep Unfolding for Scalable Video Snapshot Compressive Imaging	Chengshuai Yang, Shiyu Zhang, Xin Yuan	PDF	N/A
Approximate Discrete Optimal Transport Plan with Auxiliary Measure Method	Dongsheng An, Na Lei, Xianfeng Gu	PDF	N/A
A Comparative Study of Graph Matching Algorithms in Computer Vision	Stefan Haller, Lorenz Feineis, Lisa Hutschenreiter, Florian Bernard, Carsten Rother, Dagmar Kainmüller, Paul Swoboda, Bogdan Savchynskyy	PDF	N/A
Improving Generalization in Federated Learning by Seeking Flat Minima	Debora Caldarola, Barbara Caputo, Marco Ciccone	PDF	N/A
Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not	Liangzu Peng, Mahyar Fazlyab, René Vidal	PDF	N/A
Transfer without Forgetting	Matteo Boschini, Lorenzo Bonicelli, Angelo Porrello, Giovanni Bellitto, Matteo Pennisi, Simone Palazzo, Concetto Spampinato, Simone Calderara	PDF	N/A
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation	Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei	PDF	N/A
Tackling Long-Tailed Category Distribution under Domain Shifts	Xiao Gu, Yao Guo, Zeju Li, Jianing Qiu, Qi Dou, Yuxuan Liu, Benny Lo, Guang-Zhong Yang	PDF	N/A
Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation	Li Gao, Dong Nie, Bo Li, Xiaofeng Ren	PDF	N/A
Improving Vision Transformers by Revisiting High-Frequency Components	Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu	PDF	N/A
Recurrent Bilinear Optimization for Binary Neural Networks	Sheng Xu, Yanjing Li, Tiancheng Wang, Teli Ma, Baochang Zhang, Peng Gao, Yu Qiao, Jinhu Lü, Guodong Guo	PDF	N/A
Neural Architecture Search for Spiking Neural Networks	Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda	PDF	N/A
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification	Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock	PDF	N/A
DaViT: Dual Attention Vision Transformers	Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, Lu Yuan	PDF	N/A
Optimal Transport for Label-Efficient Visible-Infrared Person Re-identification	Jiangming Wang, Zhizhong Zhang, Mingang Chen, Yi Zhang, Cong Wang, Bin Sheng, Yanyun Qu, Yuan Xie	PDF	N/A
Locality Guidance for Improving Vision Transformers on Tiny Datasets	Kehan Li, Runyi Yu, Zhennan Wang, Li Yuan, Guoli Song, Jie Chen	PDF	N/A
Neighborhood Collective Estimation for Noisy Label Identification and Correction	Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu	PDF	N/A
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay	Huan Liu, Li Gu, Zhixiang Chi, Yang Wang, Yuanhao Yu, Jun Chen, Jin Tang	PDF	N/A
Anti-Retroactive Interference for Lifelong Learning	Runqi Wang, Yuxiang Bao, Baochang Zhang, Jianzhuang Liu, Wentao Zhu, Guodong Guo	PDF	N/A
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-Tailed Learning	Hualiang Wang, Siming Fu, Xiaoxuan He, Hangxiang Fang, Zuozhu Liu, Haoji Hu	PDF	N/A
Dynamic Metric Learning with Cross-Level Concept Distillation	Wenzhao Zheng, Yuanhui Huang, Borui Zhang, Jie Zhou, Jiwen Lu	PDF	N/A
MENet: A Memory-Based Network with Dual-Branch for Efficient Event Stream Processing	Linhui Sun, Yifan Zhang, Ke Cheng, Jian Cheng, Hanqing Lu	PDF	N/A
Out-of-Distribution Detection with Boundary Aware Learning	Sen Pei, Xin Zhang, Bin Fan, Gaofeng Meng	PDF	N/A
Learning Hierarchy Aware Features for Reducing Mistake Severity	Ashima Garg, Depanshu Sani, Saket Anand	PDF	N/A
Learning to Detect Every Thing in an Open World	Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko	PDF	N/A
KVT: k-NN Attention for Boosting Vision Transformers	Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin	PDF	N/A
Registration Based Few-Shot Anomaly Detection	Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael Spratling, Yan-Feng Wang	PDF	N/A
Improving Robustness by Enhancing Weak Subnets	Yong Guo, David Stutz, Bernt Schiele	PDF	N/A
Learning Invariant Visual Representations for Compositional Zero-Shot Learning	Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo	PDF	N/A
Improving Covariance Conditioning of the SVD Meta-Layer by Orthogonality	Yue Song, Nicu Sebe, Wei Wang	PDF	N/A
Out-of-Distribution Detection with Semantic Mismatch under Masking	Yijun Yang, Ruiyuan Gao, Qiang Xu	PDF	N/A
Data-Free Neural Architecture Search via Recursive Label Calibration	Zechun Liu, Zhiqiang Shen, Yun Long, Eric Xing, Kwang-Ting Cheng, Chas Leichner	PDF	N/A
Learning from Multiple Annotator Noisy Labels via Sample-Wise Label Fusion	Zhengqi Gao, Fan-Keng Sun, Mingran Yang, Sucheng Ren, Zikai Xiong, Marc Engeler, Antonio Burazer, Linda Wildling, Luca Daniel, Duane S. Boning	PDF	N/A
Acknowledging the Unknown for Multi-Label Learning with Single Positive Labels	Donghao Zhou, Pengfei Chen, Qiong Wang, Guangyong Chen, Pheng-Ann Heng	PDF	N/A
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers	Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li	PDF	N/A
MaxViT: Multi-axis Vision Transformer	Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan Bovik, Yinxiao Li	PDF	N/A
ScalableViT: Rethinking the Context-Oriented Generalization of Vision Transformer	Rui Yang, Hailong Ma, Jie Wu, Yansong Tang, Xuefeng Xiao, Min Zheng, Xiu Li	PDF	N/A
Three Things Everyone Should Know about Vision Transformers	Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou	PDF	N/A
DeiT III: Revenge of the ViT	Hugo Touvron, Matthieu Cord, Hervé Jégou	PDF	N/A
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition	Chuanguang Yang, Zhulin An, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang	PDF	N/A
Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition	Zhou Yang, Weisheng Dong, Xin Li, Jinjian Wu, Leida Li, Guangming Shi	PDF	N/A
Novel Class Discovery without Forgetting	K J Joseph, Sujoy Paul, Gaurav Aggarwal, Soma Biswas, Piyush Rai, Kai Han, Vineeth N Balasubramanian	PDF	N/A
SAFA: Sample-Adaptive Feature Augmentation for Long-Tailed Image Classification	Yan Hong, Jianfu Zhang, Zhongyi Sun, Ke Yan	PDF	N/A
Negative Samples Are at Large: Leveraging Hard-Distance Elastic Loss for Re-identification	Hyungtae Lee, Sungmin Eum, Heesung Kwon	PDF	N/A
Discrete-Constrained Regression for Local Counting Models	Haipeng Xiong, Angela Yao	PDF	N/A
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition	Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos	PDF	N/A
Chairs Can Be Stood On: Overcoming Object Bias in Human-Object Interaction Detection	Guangzhi Wang, Yangyang Guo, Yongkang Wong, Mohan Kankanhalli	PDF	N/A
A Fast Knowledge Distillation Framework for Visual Recognition	Zhiqiang Shen, Eric Xing	PDF	N/A
DICE: Leveraging Sparsification for Out-of-Distribution Detection	Yiyou Sun, Yixuan Li	PDF	N/A
Invariant Feature Learning for Generalized Long-Tailed Classification	Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang	PDF	N/A
Sliced Recursive Transformer	Zhiqiang Shen, Zechun Liu, Eric Xing	PDF	N/A
Cross-Domain Ensemble Distillation for Domain Generalization	Kyungmoon Lee, Sungyeon Kim, Suha Kwak	PDF	N/A
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels	Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu	PDF	N/A
Hyperspherical Learning in Multi-Label Classification	Bo Ke, Yunquan Zhu, Mengtian Li, Xiujun Shu, Ruizhi Qiao, Bo Ren	PDF	N/A
When Active Learning Meets Implicit Semantic Data Augmentation	Zhuangzhuang Chen, Jin Zhang, Pan Wang, Jie Chen, Jianqiang Li	PDF	N/A
VL-LTR: Learning Class-Wise Visual-Linguistic Representation for Long-Tailed Visual Recognition	Changyao Tian, Wenhai Wang, Xizhou Zhu, Jifeng Dai, Yu Qiao	PDF	N/A
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-of-Distribution Generalization	Jiaxin Qi, Kaihua Tang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang	PDF	N/A
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection	Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt	PDF	N/A
Tracking by Associating Clips	Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee	PDF	N/A
RealPatch: A Statistical Matching Framework for Model Patching with Real Samples	Sara Romiti, Christopher Inskip, Viktoriia Sharmanska, Novi Quadrianto	PDF	N/A
Background-Insensitive Scene Text Recognition with Text Semantic Segmentation	Liang Zhao, Zhenyao Wu, Xinyi Wu, Greg Wilsbacher, Song Wang	PDF	N/A
Semantic Novelty Detection via Relational Reasoning	Francesco Cappio Borlino, Silvia Bucci, Tatiana Tommasi	PDF	N/A
Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers	Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava	PDF	N/A
Training Vision Transformers with Only 2040 Images	Yun-Hao Cao, Hao Yu, Jianxin Wu	PDF	N/A
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection	Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee	PDF	N/A
TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs	Shantanu Jaiswal, Basura Fernando, Cheston Tan	PDF	N/A
Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars	Hao Chen, Xiu-Shen Wei, Faen Zhang, Yang Shen, Hui Xu, Liang Xiao	PDF	N/A
Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain	Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta, Mauricio Munoz, Volker Fischer	PDF	N/A
Photo-Realistic Neural Domain Randomization	Sergey Zakharov, Rareș Ambruș, Vitor Guizilini, Wadim Kehl, Adrien Gaidon	PDF	N/A
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning	Ting Yao, Yingwei Pan, Yehao Li, Chong-Wah Ngo, Tao Mei	PDF	N/A
Tailoring Self-Supervision for Supervised Learning	WonJun Moon, Ji-Hwan Kim, Jae-Pil Heo	PDF	N/A
Difficulty-Aware Simulator for Open Set Recognition	WonJun Moon, Junho Park, Hyun Seok Seong, Cheol-Ho Cho, Jae-Pil Heo	PDF	N/A
Few-Shot Class-Incremental Learning from an Open-Set Perspective	Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell	PDF	N/A
FOSTER: Feature Boosting and Compression for Class-Incremental Learning	Fu-Yun Wang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan	PDF	N/A
Visual Knowledge Tracing	Neehar Kondapaneni, Pietro Perona, Oisin Mac Aodha	PDF	N/A
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning	Jayateja Kalla, Soma Biswas	PDF	N/A
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism	Yangyang Shu, Baosheng Yu, Haiming Xu, Lingqiao Liu	PDF	N/A
VSA: Learning Varied-Size Window Attention in Vision Transformers	Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao	PDF	N/A
Unbiased Manifold Augmentation for Coarse Class Subdivision	Baoming Yan, Ke Gao, Bo Gao, Lin Wang, Jiang Yang, Xiaobo Li	PDF	N/A
DenseHybrid: Hybrid Anomaly Detection for Dense Open-Set Recognition	Matej Grcić, Petra Bevandić, Siniša Šegvić	PDF	N/A
Rethinking Confidence Calibration for Failure Prediction	Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu	PDF	N/A
Uncertainty-Guided Source-Free Domain Adaptation	Subhankar Roy, Martin Trapp, Andrea Pilzer, Juho Kannala, Nicu Sebe, Elisa Ricci, Arno Solin	PDF	N/A
Should All Proposals Be Treated Equally in Object Detection?	Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Ying Jin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos	PDF	N/A
VIP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers	Junbo Li, Huan Zhang, Cihang Xie	PDF	N/A
incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection	Amanda Rios, Nilesh Ahuja, Ibrahima Ndiour, Utku Genc, Laurent Itti, Omesh Tickoo	PDF	N/A
IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition	Yunsheng Pang, Qiuhong Ke, Hossein Rahmani, James Bailey, Jun Liu	PDF	N/A
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions	Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard	PDF	N/A
Rotation Regularization without Rotation	Takumi Kobayashi	PDF	N/A
Towards Accurate Open-Set Recognition via Background-Class Regularization	Wonwoo Cho, Jaegul Choo	PDF	N/A
In Defense of Image Pre-training for Spatiotemporal Recognition	Xianhang Li, Huiyu Wang, Chen Wei, Jieru Mei, Alan Yuille, Yuyin Zhou, Cihang Xie	PDF	N/A
Augmenting Deep Classifiers with Polynomial Neural Networks	Grigorios G. Chrysos, Markos Georgopoulos, Jiankang Deng, Jean Kossaifi, Yannis Panagakis, Anima Anandkumar	PDF	N/A
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection	Seong Min Kye, Kwanghee Choi, Joonyoung Yi, Buru Chang	PDF	N/A
Online Task-Free Continual Learning with Dynamic Sparse Distributed Memory	Julien Pourcel, Ngoc-Son Vu, Robert M. French	PDF	N/A
Contrastive Deep Supervision	Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma	PDF	N/A
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective	Quan Cui, Bingchen Zhao, Zhao-Min Chen, Borui Zhao, Renjie Song, Boyan Zhou, Jiajun Liang, Osamu Yoshie	PDF	N/A
LocVTP: Video-Text Pre-training for Temporal Localization	Meng Cao, Tianyu Yang, Junwu Weng, Can Zhang, Jue Wang, Yuexian Zou	PDF	N/A
Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads	Jiawei Ma, Guangxing Han, Shiyuan Huang, Yuncong Yang, Shih-Fu Chang	PDF	N/A
Implicit Neural Representations for Image Compression	Yannick Strümpler, Janis Postels, Ren Yang, Luc Van Gool, Federico Tombari	PDF	N/A
LiP-Flow: Learning Inference-Time Priors for Codec Avatars via Normalizing Flows in Latent Space	Emre Aksan, Shugao Ma, Akin Caliskan, Stanislav Pidhorskyi, Alexander Richard, Shih-En Wei, Jason Saragih, Otmar Hilliges	PDF	N/A
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining	Qihang Zhang, Zhenghao Peng, Bolei Zhou	PDF	N/A
Learning Ego 3D Representation As Ray Tracing	Jiachen Lu, Zheyuan Zhou, Xiatian Zhu, Hang Xu, Li Zhang	PDF	N/A
Static and Dynamic Concepts for Self-Supervised Video Representation Learning	Rui Qian, Shuangrui Ding, Xian Liu, Dahua Lin	PDF	N/A
SphereFed: Hyperspherical Federated Learning	Xin Dong, Sai Qian Zhang, Ang Li, H.T. Kung	PDF	N/A
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning	Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas	PDF	N/A
Posterior Refinement on Metric Matrix Improves Generalization Bound in Metric Learning	Mingda Wang, Canqian Yang, Yi Xu	PDF	N/A
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning	Yajing Kong, Liu Liu, Zhen Wang, Dacheng Tao	PDF	N/A
DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning	Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun, Ke Li, Chunhua Shen	PDF	N/A
CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One	Liyuan Wang, Xingxing Zhang, Qian Li, Jun Zhu, Yi Zhong	PDF	N/A
Manifold Adversarial Learning for Cross-Domain 3D Shape Representation	Hao Huang, Cheng Chen, Yi Fang	PDF	N/A
Fast-MoCo: Boost Momentum-Based Contrastive Learning with Combinatorial Patches	Yuanzheng Ci, Chen Lin, Lei Bai, Wanli Ouyang	PDF	N/A
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling	Boyan Jiang, Xinlin Ren, Mingsong Dou, Xiangyang Xue, Yanwei Fu, Yinda Zhang	PDF	N/A
On the Versatile Uses of Partial Distance Correlation in Deep Learning	Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, Vikas Singh	PDF	N/A
Self-Regulated Feature Learning via Teacher-Free Feature Distillation	Lujun Li	PDF	N/A
Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning	Mingfu Liang, Jiahuan Zhou, Wei Wei, Ying Wu	PDF	N/A
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification	Xulin Li, Yan Lu, Bin Liu, Yating Liu, Guojun Yin, Qi Chu, Jinyang Huang, Feng Zhu, Rui Zhao, Nenghai Yu	PDF	N/A
DAS: Densely-Anchored Sampling for Deep Metric Learning	Lizhao Liu, Shangxin Huang, Zhuangwei Zhuang, Ran Yang, Mingkui Tan, Yaowei Wang	PDF	N/A
Learn from All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition	Yuhang Zhang, Chengrui Wang, Xu Ling, Weihong Deng	PDF	N/A
A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning	Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci	PDF	N/A
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers	Jihao Liu, Boxiao Liu, Hang Zhou, Hongsheng Li, Yu Liu	PDF	N/A
UFO: Unified Feature Optimization	Teng Xi, Yifan Sun, Deli Yu, Bi Li, Nan Peng, Gang Zhang, Xinyu Zhang, Zhigang Wang, Jinwen Chen, Jian Wang, Lufei Liu, Haocheng Feng, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang	PDF	N/A
Sound Localization by Self-Supervised Time Delay Estimation	Ziyang Chen, David F. Fouhey, Andrew Owens	PDF	N/A
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation	Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Kun Wang, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao	PDF	N/A
SLIP: Self-Supervision Meets Language-Image Pre-training	Norman Mu, Alexander Kirillov, David Wagner, Saining Xie	PDF	N/A
Discovering Deformable Keypoint Pyramids	Jianing Qian, Anastasios Panagopoulos, Dinesh Jayaraman	PDF	N/A
Neural Video Compression Using GANs for Detail Synthesis and Propagation	Fabian Mentzer, Eirikur Agustsson, Johannes Ballé, David Minnen, Nick Johnston, George Toderici	PDF	N/A
A Contrastive Objective for Learning Disentangled Representations	Jonathan Kahana, Yedid Hoshen	PDF	N/A
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning	John Seon Keun Yi, Minseok Seo, Jongchan Park, Dong-Geol Choi	PDF	N/A
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer	Haokui Zhang, Wenze Hu, Xiaoyu Wang	PDF	N/A
DualPrompt: Complementary Prompting for Rehearsal-Free Continual Learning	Zifeng Wang, Zizhao Zhang, Sayna Ebrahimi, Ruoxi Sun, Han Zhang, Chen-Yu Lee, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer Dy, Tomas Pfister	PDF	N/A
Unifying Visual Contrastive Learning for Object Recognition from a Graph Perspective	Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Chenyu Wang, Wanli Ouyang	PDF	N/A
Decoupled Contrastive Learning	Chun-Hsiao Yeh, Cheng-Yao Hong, Yen-Chi Hsu, Tyng-Luh Liu, Yubei Chen, Yann LeCun	PDF	N/A
Joint Learning of Localized Representations from Medical Images and Reports	Philip Müller, Georgios Kaissis, Congyu Zou, Daniel Rueckert	PDF	N/A
The Challenges of Continuous Self-Supervised Learning	Senthil Purushwalkam, Pedro Morgado, Abhinav Gupta	PDF	N/A
Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval	Zhixin Ling, Zhen Xing, Jian Zhou, Xiangdong Zhou	PDF	N/A
Identifying Hard Noise in Long-Tailed Sample Distribution	Xuanyu Yi, Kaihua Tang, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang	PDF	N/A
Relative Contrastive Loss for Unsupervised Representation Learning	Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang	PDF	N/A
Fine-Grained Fashion Representation Learning by Online Deep Clustering	Yang Jiao, Ning Xie, Yan Gao, Chien-chih Wang, Yi Sun	PDF	N/A
NashAE: Disentangling Representations through Adversarial Covariance Minimization	Eric Yeats, Frank Liu, David Womble, Hai Li	PDF	N/A
A Gyrovector Space Approach for Symmetric Positive Semi-Definite Matrix Learning	Xuan Son Nguyen	PDF	N/A
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training	Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih-Fu Chang, Lu Yuan	PDF	N/A
Contrasting Quadratic Assignments for Set-Based Representation Learning	Artem Moskalev, Ivan Sosnovik, Volker Fischer, Arnold Smeulders	PDF	N/A
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer	Arjun Ashok, K J Joseph, Vineeth N Balasubramanian	PDF	N/A
Object Discovery and Representation Networks	Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelović	PDF	N/A
Trading Positional Complexity vs Deepness in Coordinate Networks	Jianqiao Zheng, Sameera Ramasinghe, Xueqian Li, Simon Lucey	PDF	N/A
MVDG: A Unified Multi-View Framework for Domain Generalization	Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao	PDF	N/A
Panoptic Scene Graph Generation	Jingkang Yang, Yi Zhe Ang, Zujin Guo, Kaiyang Zhou, Wayne Zhang, Ziwei Liu	PDF	N/A
Object-Compositional Neural Implicit Surfaces	Qianyi Wu, Xian Liu, Yuedong Chen, Kejie Li, Chuanxia Zheng, Jianfei Cai, Jianmin Zheng	PDF	N/A
RigNet: Repetitive Image Guided Network for Depth Completion	Zhiqiang Yan, Kun Wang, Xiang Li, Zhenyu Zhang, Jun Li, Jian Yang	PDF	N/A
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling	Hao Lu, Wenze Liu, Hongtao Fu, Zhiguo Cao	PDF	N/A
LiDAL: Inter-Frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation	Zeyu Hu, Xuyang Bai, Runze Zhang, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai	PDF	N/A
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation	Youming Deng, Yansheng Li, Yongjun Zhang, Xiang Xiang, Jian Wang, Jingdong Chen, Jiayi Ma	PDF	N/A
DODA: Data-Oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation	Runyu Ding, Jihan Yang, Li Jiang, Xiaojuan Qi	PDF	N/A
MTFormer: Multi-task Learning via Transformer and Cross-Task Reasoning	Xiaogang Xu, Hengshuang Zhao, Vibhav Vineet, Ser-Nam Lim, Antonio Torralba	PDF	N/A
MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene Flow Estimation with Monocular Images	Runfa Li, Truong Nguyen	PDF	N/A
TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes	Mutian Xu, Pei Chen, Haolin Liu, Xiaoguang Han	PDF	N/A
Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic Segmentation?	Xinyi Wu, Zhenyao Wu, Jin Wan, Lili Ju, Song Wang	PDF	N/A
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation	Li Xu, Haoxuan Qu, Jason Kuen, Jiuxiang Gu, Jun Liu	PDF	N/A
Improving the Reliability for Confidence Estimation	Haoxuan Qu, Yanchao Li, Lin Geng Foo, Jason Kuen, Jiuxiang Gu, Jun Liu	PDF	N/A
Fine-Grained Scene Graph Generation with Data Transfer	Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua	PDF	N/A
Pose2Room: Understanding 3D Scenes from Human Activities	Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner	PDF	N/A
Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction Detection	Xubin Zhong, Changxing Ding, Zijian Li, Shaoli Huang	PDF	N/A
Discovering Human-Object Interaction Concepts via Self-Compositional Learning	Zhi Hou, Baosheng Yu, Dacheng Tao	PDF	N/A
Primitive-Based Shape Abstraction via Nonparametric Bayesian Inference	Yuwei Wu, Weixiao Liu, Sipu Ruan, Gregory S. Chirikjian	PDF	N/A
Stereo Depth Estimation with Echoes	Chenghao Zhang, Kun Tian, Bolin Ni, Gaofeng Meng, Bin Fan, Zhaoxiang Zhang, Chunhong Pan	PDF	N/A
Inverted Pyramid Multi-task Transformer for Dense Scene Understanding	Hanrong Ye, Dan Xu	PDF	N/A
PETR: Position Embedding Transformation for Multi-View 3D Object Detection	Yingfei Liu, Tiancai Wang, Xiangyu Zhang, Jian Sun	PDF	N/A
S2Net: Stochastic Sequential Pointcloud Forecasting	Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani	PDF	N/A
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation	Mu He, Le Hui, Yikai Bian, Jian Ren, Jin Xie, Jian Yang	PDF	N/A
PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation	Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao	PDF	N/A
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds	Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Aleš Leonardis, Niki Trigoni, Andrew Markham	PDF	N/A
PointMixer: MLP-Mixer for Point Cloud Understanding	Jaesung Choe, Chunghyun Park, Francois Rameau, Jaesik Park, In So Kweon	PDF	N/A
Initialization and Alignment for Adversarial Texture Optimization	Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing	PDF	N/A
MOTR: End-to-End Multiple-Object Tracking with TRansformer	Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, Yichen Wei	PDF	N/A
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing	Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen	PDF	N/A
LaLaLoc++: Global Floor Plan Comprehension for Layout Localisation in Unvisited Environments	Henry Howard-Jenkins, Victor Adrian Prisacariu	PDF	N/A
3D-PL: Domain Adaptive Depth Estimation with 3D-Aware Pseudo-Labeling	Yu-Ting Yen, Chia-Ni Lu, Wei-Chen Chiu, Yi-Hsuan Tsai	PDF	N/A
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation	Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao	PDF	N/A
Salient Object Detection for Point Clouds	Songlin Fan, Wei Gao, Ge Li	PDF	N/A
Learning Semantic Segmentation from Multiple Datasets with Label Shifts	Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han	PDF	N/A
Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination	Kangcheng Liu, Yuzhi Zhao, Qiang Nie, Zhi Gao, Ben M. Chen	PDF	N/A
Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning	Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li	PDF	N/A
Variance-Aware Weight Initialization for Point Convolutional Neural Networks	Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski	PDF	N/A
Break and Make: Interactive Structural Understanding Using LEGO Bricks	Aaron Walsman, Muru Zhang, Klemen Kotar, Karthik Desingh, Ali Farhadi, Dieter Fox	PDF	N/A
Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation	Wencan Cheng, Jong Hwan Ko	PDF	N/A
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching	Runyu Mao, Chen Bai, Yatong An, Fengqing Zhu, Cheng Lu	PDF	N/A
Video Restoration Framework and Its Meta-Adaptations to Data-Poor Conditions	Prashant W Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh	PDF	N/A
MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud	Michaël Ramamonjisoa, Sinisa Stekovic, Vincent Lepetit	PDF	N/A
Scene Text Recognition with Permuted Autoregressive Sequence Models	Darwin Bautista, Rowel Atienza	PDF	N/A
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition	Bohan Li, Ye Yuan, Dingkang Liang, Xiao Liu, Zhilong Ji, Jinfeng Bai, Wenyu Liu, Xiang Bai	PDF	N/A
Detecting Tampered Scene Text in the Wild	Yuxin Wang, Hongtao Xie, Mengting Xing, Jing Wang, Shenggao Zhu, Yongdong Zhang	PDF	N/A
Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning	Jingqun Tang, Wenming Qian, Luchuan Song, Xiena Dong, Lan Li, Xiang Bai	PDF	N/A
GLASS: Global to Local Attention for Scene-Text Spotting	Roi Ronen, Shahar Tsiper, Oron Anschel, Inbal Lavi, Amir Markovitz, R. Manmatha	PDF	N/A
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts	Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa	PDF	N/A
Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting	Chuhui Xue, Wenqing Zhang, Yu Hao, Shijian Lu, Philip H. S. Torr, Song Bai	PDF	N/A
Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition	Xudong Xie, Ling Fu, Zhifei Zhang, Zhaowen Wang, Xiang Bai	PDF	N/A
Levenshtein OCR	Cheng Da, Peng Wang, Cong Yao	PDF	N/A
Multi-Granularity Prediction for Scene Text Recognition	Peng Wang, Cheng Da, Cong Yao	PDF	N/A
Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting	Ying Chen, Liang Qiao, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Xi Li	PDF	N/A
Contextual Text Block Detection towards Scene Text Understanding	Chuhui Xue, Jiaxing Huang, Wenqing Zhang, Shijian Lu, Changhu Wang, Song Bai	PDF	N/A
CoMER: Modeling Coverage for Transformer-Based Handwritten Mathematical Expression Recognition	Wenqi Zhao, Liangcai Gao	PDF	N/A
Don’t Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Context	Chongyu Liu, Lianwen Jin, Yuliang Liu, Canjie Luo, Bangdong Chen, Fengjun Guo, Kai Ding	PDF	N/A
TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers	Oren Nuriel, Sharon Fogel, Ron Litman	PDF	N/A
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features	Byeonghu Na, Yoonsik Kim, Sungrae Park	PDF	N/A
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition	Dajian Zhong, Shujing Lyu, Palaiahnakote Shivakumara, Bing Yin, Jiajia Wu, Umapada Pal, Yue Lu	PDF	N/A
Pure Transformer with Integrated Experts for Scene Text Recognition	Yew Lee Tan, Adams Wai-Kin Kong, Jung-Jae Kim	PDF	N/A
OCR-Free Document Understanding Transformer	Geewook Kim, Teakgyu Hong, Moonbin Yim, JeongYeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park	PDF	N/A
CAR: Class-Aware Regularizations for Semantic Segmentation	Ye Huang, Di Kang, Liang Chen, Xuefei Zhe, Wenjing Jia, Linchao Bao, Xiangjian He	PDF	N/A
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation	Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee	PDF	N/A
SeqFormer: Sequential Transformer for Video Instance Segmentation	Junfeng Wu, Yi Jiang, Song Bai, Wenqing Zhang, Xiang Bai	PDF	N/A
Saliency Hierarchy Modeling via Generative Kernels for Salient Object Detection	Wenhu Zhang, Liangli Zheng, Huanyu Wang, Xintian Wu, Xi Li	PDF	N/A
In Defense of Online Models for Video Instance Segmentation	Junfeng Wu, Qihao Liu, Yi Jiang, Song Bai, Alan Yuille, Xiang Bai	PDF	N/A
Active Pointly-Supervised Instance Segmentation	Chufeng Tang, Lingxi Xie, Gang Zhang, Xiaopeng Zhang, Qi Tian, Xiaolin Hu	PDF	N/A
A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining	Bowen Shi, Dongsheng Jiang, Xiaopeng Zhang, Han Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian	PDF	N/A
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model	Ho Kei Cheng, Alexander G. Schwing	PDF	N/A
Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving	Jiale Li, Hang Dai, Yong Ding	PDF	N/A
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds	Xu Yan, Jiantao Gao, Chaoda Zheng, Chao Zheng, Ruimao Zhang, Shuguang Cui, Zhen Li	PDF	N/A
Extract Free Dense Labels from CLIP	Chong Zhou, Chen Change Loy, Bo Dai	PDF	N/A
3D Compositional Zero-Shot Learning with DeCompositional Consensus	Muhammad Ferjad Naeem, Evin Pınar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari	PDF	N/A
Video Mask Transfiner for High-Quality Video Instance Segmentation	Lei Ke, Henghui Ding, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu	PDF	N/A
Box-Supervised Instance Segmentation with Level Set Evolution	Wentong Li, Wenyu Liu, Jianke Zhu, Miaomiao Cui, Xian-Sheng Hua, Lei Zhang	PDF	N/A
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding	Hao Wen, Yunze Liu, Jingwei Huang, Bo Duan, Li Yi	PDF	N/A
Adaptive Agent Transformer for Few-Shot Segmentation	Yuan Wang, Rui Sun, Zhe Zhang, Tianzhu Zhang	PDF	N/A
Waymo Open Dataset: Panoramic Video Panoptic Segmentation	Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar	PDF	N/A
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation	Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, Rong Jin	PDF	N/A
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions	Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong	PDF	N/A
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation	Sunghwan Hong, Seokju Cho, Jisu Nam, Stephen Lin, Seungryong Kim	PDF	N/A
"Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications"	Lingzhi Zhang, Shenghao Zhou, Simon Stent, Jianbo Shi	PDF	N/A
Perceptual Artifacts Localization for Inpainting	Lingzhi Zhang, Yuqian Zhou, Connelly Barnes, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi	PDF	N/A
2D Amodal Instance Segmentation Guided by 3D Shape Prior	Zhixuan Li, Weining Ye, Tingting Jiang, Tiejun Huang	PDF	N/A
Data Efficient 3D Learner via Knowledge Transferred from 2D Model	Ping-Chung Yu, Cheng Sun, Min Sun	PDF	N/A
Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation	Tong Wu, Guangyu Gao, Junshi Huang, Xiaolin Wei, Xiaoming Wei, Chi Harold Liu	PDF	N/A
Dense Gaussian Processes for Few-Shot Segmentation	Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan	PDF	N/A
3D Instances as 1D Kernels	Yizheng Wu, Min Shi, Shuaiyuan Du, Hao Lu, Zhiguo Cao, Weicai Zhong	PDF	N/A
TransMatting: Enhancing Transparent Objects Matting with Transformers	Huanqia Cai, Fanglei Xue, Lele Xu, Lili Guo	PDF	N/A
MVSalNet:Multi-View Augmentation for RGB-D Salient Object Detection	Jiayuan Zhou, Lijun Wang, Huchuan Lu, Kaining Huang, Xinchu Shi, Bocong Liu	PDF	N/A
k-Means Mask Transformer	Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell Collins, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen	PDF	N/A
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness	Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr	PDF	N/A
Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation	Sung-Hoon Yoon, Hyeokjun Kweon, Jegyeong Cho, Shinjeong Kim, Kuk-Jin Yoon	PDF	N/A
Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment	Zihan Lin, Zilei Wang, Yixin Zhang	PDF	N/A
Interclass Prototype Relation for Few-Shot Segmentation	Atsuro Okazawa	PDF	N/A
Slim Scissors: Segmenting Thin Object from Synthetic Background	Kunyang Han, Jun Hao Liew, Jiashi Feng, Huawei Tian, Yao Zhao, Yunchao Wei	PDF	N/A
Abstracting Sketches through Simple Primitives	Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata	PDF	N/A
Multi-Scale and Cross-Scale Contrastive Learning for Semantic Segmentation	Theodoros Pissas, Claudio S. Ravasio, Lyndon Da Cruz, Christos Bergeles	PDF	N/A
One-Trimap Video Matting	Hongje Seong, Seoung Wug Oh, Brian Price, Euntai Kim, Joon-Young Lee	PDF	N/A
D2ADA: Dynamic Density-Aware Active Domain Adaptation for Semantic Segmentation	Tsung-Han Wu, Yi-Syuan Liou, Shao-Ji Yuan, Hsin-Ying Lee, Tung-I Chen, Kuan-Chih Huang, Winston H. Hsu	PDF	N/A
Learning Quality-Aware Dynamic Memory for Video Object Segmentation	Yong Liu, Ran Yu, Fei Yin, Xinyuan Zhao, Wei Zhao, Weihao Xia, Yujiu Yang	PDF	N/A
Learning Implicit Feature Alignment Function for Semantic Segmentation	Hanzhe Hu, Yinbo Chen, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang	PDF	N/A
Quantum Motion Segmentation	Federica Arrigoni, Willi Menapace, Marcel Seelbach Benkner, Elisa Ricci, Vladislav Golyanik	PDF	N/A
Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation	Feng Zhu, Zongxin Yang, Xin Yu, Yi Yang, Yunchao Wei	PDF	N/A
Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation	Xiao-Juan Li, Jie Yang, Fang-Lue Zhang	PDF	N/A
Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance Segmenter	Tuan Ngo, Khoi Nguyen	PDF	N/A
Union-Set Multi-source Model Adaptation for Semantic Segmentation	Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama	PDF	N/A
Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions	Ardian Umam, Cheng-Kun Yang, Yung-Yu Chuang, Jen-Hui Chuang, Yen-Yu Lin	PDF	N/A
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation	Ye Yu, Jialin Yuan, Gaurav Mittal, Li Fuxin, Mei Chen	PDF	N/A
SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection	Minhyeok Lee, Chaewon Park, Suhwan Cho, Sangyoun Lee	PDF	N/A
Global Spectral Filter Memory Network for Video Object Segmentation	Yong Liu, Ran Yu, Jiahao Wang, Xinyuan Zhao, Yitong Wang, Yansong Tang, Yujiu Yang	PDF	N/A
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer	Omkar Thawakar, Sanath Narayan, Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Muhammad Haris Khan, Salman Khan, Michael Felsberg, Fahad Shahbaz Khan	PDF	N/A
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation	Haodi He, Yuhui Yuan, Xiangyu Yue, Han Hu	PDF	N/A
Learning Topological Interactions for Multi-Class Medical Image Segmentation	Saumya Gupta, Xiaoling Hu, James Kaan, Michael Jin, Mutshipay Mpoy, Katherine Chung, Gagandeep Singh, Mary Saltz, Tahsin Kurc, Joel Saltz, Apostolos Tassiopoulos, Prateek Prasanna, Chao Chen	PDF	N/A
Unsupervised Segmentation in Real-World Images via Spelke Object Inference	Honglin Chen, Rahul Venkatesh, Yoni Friedman, Jiajun Wu, Joshua B. Tenenbaum, Daniel L. K. Yamins, Daniel M. Bear	PDF	N/A
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model	Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai	PDF	N/A
Fast Two-View Motion Segmentation Using Christoffel Polynomials	Bengisu Ozbay, Octavia Camps, Mario Sznaier	PDF	N/A
UCTNet: Uncertainty-Aware Cross-Modal Transformer Network for Indoor RGB-D Semantic Segmentation	Xiaowen Ying, Mooi Choo Chuah	PDF	N/A
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation	Geon Lee, Chanho Eom, Wonkyung Lee, Hyekang Park, Bumsub Ham	PDF	N/A
Learning Regional Purity for Instance Segmentation on 3D Point Clouds	Shichao Dong, Guosheng Lin, Tzu-Yi Hung	PDF	N/A
Cross-Domain Few-Shot Semantic Segmentation	Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu	PDF	N/A
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning	Yuehui Han, Le Hui, Haobo Jiang, Jianjun Qian, Jin Xie	PDF	N/A
SdAE: Self-Distillated Masked Autoencoder	Yabo Chen, Yuchen Liu, Dongsheng Jiang, Xiaopeng Zhang, Wenrui Dai, Hongkai Xiong, Qi Tian	PDF	N/A
Demystifying Unsupervised Semantic Correspondence Estimation	Mehmet Aygün, Oisin Mac Aodha	PDF	N/A
Open-Set Semi-Supervised Object Detection	Yen-Cheng Liu, Chih-Yao Ma, Xiaoliang Dai, Junjiao Tian, Peter Vajda, Zijian He, Zsolt Kira	PDF	N/A
Vibration-Based Uncertainty Estimation for Learning from Limited Supervision	Hengtong Hu, Lingxi Xie, Xinyue Huo, Richang Hong, Qi Tian	PDF	N/A
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation	Jogendra Nath Kundu, Suvaansh Bhambri, Akshay Kulkarni, Hiran Sarkar, Varun Jampani, R. Venkatesh Babu	PDF	N/A
Weakly Supervised Object Localization through Inter-class Feature Similarity and Intra-Class Appearance Consistency	Jun Wei, Sheng Wang, S. Kevin Zhou, Shuguang Cui, Zhen Li	PDF	N/A
Active Learning Strategies for Weakly-Supervised Object Detection	Huy V. Vo, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Jean Ponce	PDF	N/A
Mc-BEiT: Multi-Choice Discretization for Image BERT Pre-training	Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan	PDF	N/A
Bootstrapped Masked Autoencoders for Vision BERT Pretraining	Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu	PDF	N/A
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping	Bo Pang, Yifan Zhang, Yaoyi Li, Jia Cai, Cewu Lu	PDF	N/A
Improving Few-Shot Part Segmentation Using Coarse Supervision	Oindrila Saha, Zezhou Cheng, Subhransu Maji	PDF	N/A
What to Hide from Your Students: Attention-Guided Masked Image Modeling	Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis	PDF	N/A
Pointly-Supervised Panoptic Segmentation	Junsong Fan, Zhaoxiang Zhang, Tieniu Tan	PDF	N/A
MVP: Multimodality-Guided Visual Pre-training	Longhui Wei, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian	PDF	N/A
Locally Varying Distance Transform for Unsupervised Visual Anomaly Detection	Wen-Yan Lin, Zhonghang Liu, Siying Liu	PDF	N/A
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation	Lukas Hoyer, Dengxin Dai, Luc Van Gool	PDF	N/A
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation	Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, Onkar Dabeer	PDF	N/A
Dual-Domain Self-Supervised Learning and Model Adaption for Deep Compressive Imaging	Yuhui Quan, Xinran Qin, Tongyao Pang, Hui Ji	PDF	N/A
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning	Xudong Wang, Long Lian, Stella X. Yu	PDF	N/A
Max Pooling with Vision Transformers Reconciles Class and Shape in Weakly Supervised Semantic Segmentation	Simone Rossetti, Damiano Zappia, Marta Sanzari, Marco Schaerf, Fiora Pirri	PDF	N/A
Dense Siamese Network for Dense Unsupervised Learning	Wenwei Zhang, Jiangmiao Pang, Kai Chen, Chen Change Loy	PDF	N/A
Multi-Granularity Distillation Scheme towards Lightweight Semi-Supervised Semantic Segmentation	Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang	PDF	N/A
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation	Feng Wang, Huiyu Wang, Chen Wei, Alan Yuille, Wei Shen	PDF	N/A
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization	Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin	PDF	N/A
RDA: Reciprocal Distribution Alignment for Robust Semi-Supervised Learning	Yue Duan, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi	PDF	N/A
MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation	Tarun Kalluri, Astuti Sharma, Manmohan Chandraker	PDF	N/A
United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning	Wenda Zhao, Fei Wei, You He, Huchuan Lu	PDF	N/A
Synergistic Self-Supervised and Quantization Learning	Yun-Hao Cao, Peiqin Sun, Yechang Huang, Jianxin Wu, Shuchang Zhou	PDF	N/A
Semi-Supervised Vision Transformers	Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang	PDF	N/A
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision	Yun Xing, Dayan Guan, Jiaxing Huang, Shijian Lu	PDF	N/A
Diverse Learner: Exploring Diverse Supervision for Semi-Supervised Object Detection	Linfeng Li, Minyue Jiang, Yue Yu, Wei Zhang, Xiangru Lin, Yingying Li, Xiao Tan, Jingdong Wang, Errui Ding	PDF	N/A
A Closer Look at Invariances in Self-Supervised Pre-training for 3D Vision	Lanxiao Li, Michael Heizmann	PDF	N/A
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization	Jiwon Kim, Youngjo Min, Daehwan Kim, Gyuseong Lee, Junyoung Seo, Kwangrok Ryoo, Seungryong Kim	PDF	N/A
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation	Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha	PDF	N/A
W2N: Switching from Weak Supervision to Noisy Supervision for Object Detection	Zitong Huang, Yiping Bao, Bowen Dong, Erjin Zhou, Wangmeng Zuo	PDF	N/A
Decoupled Adversarial Contrastive Learning for Self-Supervised Adversarial Robustness	Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon	PDF	N/A
GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning	Huseyin Coskun, Alireza Zareian, Joshua L. Moore, Federico Tombari, Chen Wang	PDF	N/A
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning	K L Navaneet, Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Kossar Pourahmadi, Akshayvarun Subramanya, Hamed Pirsiavash	PDF	N/A
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning	Junqiang Huang, Xiangwen Kong, Xiangyu Zhang	PDF	N/A
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation	Lu Qi, Jason Kuen, Zhe Lin, Jiuxiang Gu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen, Ming-Hsuan Yang, Jiaya Jia	PDF	N/A
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation	Zhonghua Wu, Yicheng Wu, Guosheng Lin, Jianfei Cai, Chen Qian	PDF	N/A
Semantic-Aware Fine-Grained Correspondence	Yingdong Hu, Renhao Wang, Kaifeng Zhang, Yang Gao	PDF	N/A
Self-Supervised Classification Network	Elad Amrani, Leonid Karlinsky, Alex Bronstein	PDF	N/A
Data Invariants to Understand Unsupervised Out-of-Distribution Detection	Lars Doorenbos, Raphael Sznitman, Pablo Márquez-Neila	PDF	N/A
Domain Invariant Masked Autoencoders for Self-Supervised Learning from Multi-Domains	Haiyang Yang, Shixiang Tang, Meilin Chen, Yizhou Wang, Feng Zhu, Lei Bai, Rui Zhao, Wanli Ouyang	PDF	N/A
Semi-Supervised Object Detection via Virtual Category Learning	Changrui Chen, Kurt Debattista, Jungong Han	PDF	N/A
Completely Self-Supervised Crowd Counting via Distribution Matching	Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel	PDF	N/A
Coarse-to-Fine Incremental Few-Shot Learning	Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma, Alan Yuille, Gregory D. Hager	PDF	N/A
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling	Jian Hu, Haowen Zhong, Fei Yang, Shaogang Gong, Guile Wu, Junchi Yan	PDF	N/A
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition	Shreyank N Gowda, Marcus Rohrbach, Frank Keller, Laura Sevilla-Lara	PDF	N/A
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation	Renhao Wang, Hang Zhao, Yang Gao	PDF	N/A
PSS: Progressive Sample Selection for Open-World Visual Representation Learning	Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe	PDF	N/A
Improving Self-Supervised Lightweight Model Learning via Hard-Aware Metric Distillation	Hao Liu, Mang Ye	PDF	N/A
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection	Jinhwan Seo, Wonho Bae, Danica J. Sutherland, Junhyug Noh, Daijin Kim	PDF	N/A
Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers	Hui Tang, Lin Sun, Kui Jia	PDF	N/A
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model	Boah Kim, Inhwa Han, Jong Chul Ye	PDF	N/A
Semi-Leak: Membership Inference Attacks against Semi-Supervised Learning	Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang	PDF	N/A
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning	Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah	PDF	N/A
Embedding Contrastive Unsupervised Features to Cluster in- and Out-of-Distribution Noise in Corrupted Image Datasets	Paul Albert, Eric Arazo, Noel E. O’Connor, Kevin McGuinness	PDF	N/A
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space	Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao, Licheng Jiao	PDF	N/A
Towards Realistic Semi-Supervised Learning	Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah	PDF	N/A
Masked Siamese Networks for Label-Efficient Learning	Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael Rabbat, Nicolas Ballas	PDF	N/A
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization	Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz	PDF	N/A
Understanding Collapse in Non-Contrastive Siamese Representation Learning	Alexander C. Li, Alexei A. Efros, Deepak Pathak	PDF	N/A
Federated Self-Supervised Learning for Video Understanding	Yasar Abbas Ur Rehman, Yan Gao, Jiajun Shen, Pedro Porto Buarque de Gusmão, Nicholas Lane	PDF	N/A
Towards Efficient and Effective Self-Supervised Learning of Visual Representations	Sravanti Addepalli, Kaushal Bhogale, Priyam Dey, R. Venkatesh Babu	PDF	N/A
DSR – A Dual Subspace Re-Projection Network for Surface Anomaly Detection	Vitjan Zavrtanik, Matej Kristan, Danijel Skočaj	PDF	N/A
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds	Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov	PDF	N/A
MVSTER: Epipolar Transformer for Efficient Multi-View Stereo	Xiaofeng Wang, Zheng Zhu, Guan Huang, Fangbo Qin, Yun Ye, Yijia He, Xu Chi, Xingang Wang	PDF	N/A
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild	Jason Y. Zhang, Deva Ramanan, Shubham Tulsiani	PDF	N/A
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis	Huan Wang, Jian Ren, Zeng Huang, Kyle Olszewski, Menglei Chai, Yun Fu, Sergey Tulyakov	PDF	N/A
KD-MVS: Knowledge Distillation Based Self-Supervised Learning for Multi-View Stereo	Yikang Ding, Qingtian Zhu, Xiangyue Liu, Wentao Yuan, Haotian Zhang, Chi Zhang	PDF	N/A
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas	John Lambert, Yuguang Li, Ivaylo Boyadzhiev, Lambert Wixson, Manjunath Narayana, Will Hutchcroft, James Hays, Frank Dellaert, Sing Bing Kang	PDF	N/A
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering	Di Chang, Aljaž Božič, Tong Zhang, Qingsong Yan, Yingcong Chen, Sabine Süsstrunk, Matthias Nießner	PDF	N/A
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes	Julian Chibane, Francis Engelmann, Tuan Anh Tran, Gerard Pons-Moll	PDF	N/A
NeILF: Neural Incident Light Field for Physically-Based Material Estimation	Yao Yao, Jingyang Zhang, Jingbo Liu, Yihang Qu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan	PDF	N/A
ARF: Artistic Radiance Fields	Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely	PDF	N/A
Multiview Stereo with Cascaded Epipolar RAFT	Zeyu Ma, Zachary Teed, Jia Deng	PDF	N/A
ARAH: Animatable Volume Rendering of Articulated Human SDFs	Shaofei Wang, Katja Schwarz, Andreas Geiger, Siyu Tang	PDF	N/A
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer	Hongkai Chen, Zixin Luo, Lei Zhou, Yurun Tian, Mingmin Zhen, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan	PDF	N/A
NDF: Neural Deformable Fields for Dynamic Human Modelling	Ruiqi Zhang, Jie Chen	PDF	N/A
Neural Density-Distance Fields	Itsuki Ueda, Yoshihiro Fukuhara, Hirokatsu Kataoka, Hiroaki Aizawa, Hidehiko Shishido, Itaru Kitahara	PDF	N/A
NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer	Yunxiao Wang, Yanjie Li, Peidong Liu, Tao Dai, Shu-Tao Xia	PDF	N/A
Learning Online Multi-sensor Depth Fusion	Erik Sandström, Martin R. Oswald, Suryansh Kumar, Silvan Weder, Fisher Yu, Cristian Sminchisescu, Luc Van Gool	PDF	N/A
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multi-Scale Scene Rendering	Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, Dahua Lin	PDF	N/A
Decomposing the Tangent of Occluding Boundaries according to Curvatures and Torsions	Huizong Yang, Anthony Yezzi	PDF	N/A
NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors	Jiepeng Wang, Peng Wang, Xiaoxiao Long, Christian Theobalt, Taku Komura, Lingjie Liu, Wenping Wang	PDF	N/A
Generalizable Patch-Based Neural Rendering	Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia	PDF	N/A
Improving RGB-D Point Cloud Registration by Learning Multi-Scale Local Linear Transformation	Ziming Wang, Xiaoliang Huo, Zhenghao Chen, Jing Zhang, Lu Sheng, Dong Xu	PDF	N/A
Real-Time Neural Character Rendering with Pose-Guided Multiplane Images	Hao Ouyang, Bo Zhang, Pan Zhang, Hao Yang, Jiaolong Yang, Dong Chen, Qifeng Chen, Fang Wen	PDF	N/A
SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views	Xiaoxiao Long, Cheng Lin, Peng Wang, Taku Komura, Wenping Wang	PDF	N/A
Disentangling Object Motion and Occlusion for Unsupervised Multi-Frame Monocular Depth	Ziyue Feng, Liang Yang, Longlong Jing, Haiyan Wang, YingLi Tian, Bing Li	PDF	N/A
Depth Field Networks for Generalizable Multi-View Scene Representation	Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rareș Ambruș, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon	PDF	N/A
Context-Enhanced Stereo Transformer	Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan Yuille, Yingwei Li	PDF	N/A
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching	Zhelun Shen, Yuchao Dai, Xibin Song, Zhibo Rao, Dingfu Zhou, Liangjun Zhang	PDF	N/A
Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images	Yuan Liu, Yilin Wen, Sida Peng, Cheng Lin, Xiaoxiao Long, Taku Komura, Wenping Wang	PDF	N/A
Latency-Aware Collaborative Perception	Zixing Lei, Shunli Ren, Yue Hu, Wenjun Zhang, Siheng Chen	PDF	N/A
TensoRF: Tensorial Radiance Fields	Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su	PDF	N/A
NeFSAC: Neurally Filtered Minimal Samples	Luca Cavalli, Marc Pollefeys, Daniel Barath	PDF	N/A
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data	Eldar Insafutdinov, Dylan Campbell, João F. Henriques, Andrea Vedaldi	PDF	N/A
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields	Kim Jun-Seong, Kim Yu-Ji, Moon Ye-Bin, Tae-Hyun Oh	PDF	N/A
NeuMan: Neural Human Radiance Field from a Single Video	Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan	PDF	N/A
TAVA: Template-Free Animatable Volumetric Actors	Ruilong Li, Julian Tanke, Minh Vo, Michael Zollhöfer, Jürgen Gall, Angjoo Kanazawa, Christoph Lassner	PDF	N/A
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching	Qiang Wang, Shaohuai Shi, Kaiyong Zhao, Xiaowen Chu	PDF	N/A
Relative Pose from SIFT Features	Daniel Barath, Zuzana Kukelova	PDF	N/A
Selection and Cross Similarity for Event-Image Deep Stereo	Hoonhee Cho, Kuk-Jin Yoon	PDF	N/A
D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding	Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang	PDF	N/A
CIRCLE: Convolutional Implicit Reconstruction and Completion for Large-Scale Indoor Scene	Hao-Xiang Chen, Jiahui Huang, Tai-Jiang Mu, Shi-Min Hu	PDF	N/A
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild	Wang Zhao, Shaohui Liu, Hengkai Guo, Wenping Wang, Yong-Jin Liu	PDF	N/A
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding	Yujin Chen, Matthias Nießner, Angela Dai	PDF	N/A
Few ‘Zero Level Set’-Shot Learning of Shape Signed Distance Functions in Feature Space	Amine Ouasfi, Adnane Boukhayma	PDF	N/A
Solution Space Analysis of Essential Matrix Based on Algebraic Error Minimization	Gaku Nakano	PDF	N/A
Approximate Differentiable Rendering with Algebraic Surfaces	Leonid Keselman, Martial Hebert	PDF	N/A
CoVisPose: Co-Visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360° Indoor Panoramas	Will Hutchcroft, Yuguang Li, Ivaylo Boyadzhiev, Zhiqiang Wan, Haiyan Wang, Sing Bing Kang	PDF	N/A
Affine Correspondences between Multi-Camera Systems for 6DOF Relative Pose Estimation	Banglei Guan, Ji Zhao	PDF	N/A
GraphFit: Learning Multi-Scale Graph-Convolutional Representation for Point Cloud Normal Estimation	Keqiang Li, Mingyang Zhao, Huaiyu Wu, Dong-Ming Yan, Zhen Shen, Fei-Yue Wang, Gang Xiong	PDF	N/A
IS-MVSNet: Importance Sampling-Based MVSNet	Likang Wang, Yue Gong, Xinjun Ma, Qirui Wang, Kaixuan Zhou, Lei Chen	PDF	N/A
Point Scene Understanding via Disentangled Instance Mesh Reconstruction	Jiaxiang Tang, Xiaokang Chen, Jingbo Wang, Gang Zeng	PDF	N/A
DiffuStereo: High Quality Human Reconstruction via Diffusion-Based Stereo Using Sparse Cameras	Ruizhi Shao, Zerong Zheng, Hongwen Zhang, Jingxiang Sun, Yebin Liu	PDF	N/A
Space-Partitioning RANSAC	Daniel Barath, Gábor Valasek	PDF	N/A
SimpleRecon: 3D Reconstruction without 3D Convolutions	Mohamed Sayed, John Gibson, Jamie Watson, Victor Prisacariu, Michael Firman, Clément Godard	PDF	N/A
Structure and Motion from Casual Videos	Zhoutong Zhang, Forrester Cole, Zhengqi Li, Noah Snavely, Michael Rubinstein, William T. Freeman	PDF	N/A
What Matters for 3D Scene Flow Network	Guangming Wang, Yunzhe Hu, Zhe Liu, Yiyang Zhou, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang	PDF	N/A
Correspondence Reweighted Translation Averaging	Lalit Manam, Venu Madhav Govindu	PDF	N/A
Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images	Radu Alexandru Rosu, Shunsuke Saito, Ziyan Wang, Chenglei Wu, Sven Behnke, Giljoo Nam	PDF	N/A
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs	Xin Liu, Xiaofei Shao, Bo Wang, Yali Li, Shengjin Wang	PDF	N/A
Objects Can Move: 3D Change Detection by Geometric Transformation Consistency	Aikaterini Adam, Torsten Sattler, Konstantinos Karantzalos, Tomas Pajdla	PDF	N/A
Language-Grounded Indoor 3D Semantic Segmentation in the Wild	Dávid Rozenberszki, Or Litany, Angela Dai	PDF	N/A
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs	Sameera Ramasinghe, Simon Lucey	PDF	N/A
Deforming Radiance Fields with Cages	Tianhan Xu, Tatsuya Harada	PDF	N/A
FLEX: Extrinsic Parameters-Free Multi-View 3D Human Motion Reconstruction	Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or	PDF	N/A
MODE: Multi-View Omnidirectional Depth Estimation with 360° Cameras	Ming Li, Xueqian Jin, Xuejiao Hu, Jingzhao Dai, Sidan Du, Yang Li	PDF	N/A
GigaDepth: Learning Depth from Structured Light with Branching Neural Networks	Simon Schreiberhuber, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze	PDF	N/A
ActiveNeRF: Learning Where to See with Uncertainty Estimation	Xuran Pan, Zihang Lai, Shiji Song, Gao Huang	PDF	N/A
PoserNet: Refining Relative Camera Poses Exploiting Object Detections	Matteo Taiana, Matteo Toso, Stuart James, Alessio Del Bue	PDF	N/A
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction & Pose Estimation	Shin-Fang Chng, Sameera Ramasinghe, Jamie Sherrah, Simon Lucey	PDF	N/A
Unbiased Gradient Estimation for Differentiable Surface Splatting via Poisson Sampling	Jan U. Müller, Michael Weinmann, Reinhard Klein	PDF	N/A
Towards Learning Neural Representations from Shadows	Kushagra Tiwary, Tzofi Klinghoffer, Ramesh Raskar	PDF	N/A
Class-Incremental Novel Class Discovery	Subhankar Roy, Mingxuan Liu, Zhun Zhong, Nicu Sebe, Elisa Ricci	PDF	N/A
Unknown-Oriented Learning for Open Set Domain Adaptation	Jie Liu, Xiaoqing Guo, Yixuan Yuan	PDF	N/A
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation	Hongbin Lin, Yifan Zhang, Zhen Qiu, Shuaicheng Niu, Chuang Gan, Yanxia Liu, Mingkui Tan	PDF	N/A
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation	Xin Lai, Zhuotao Tian, Xiaogang Xu, Yingcong Chen, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia	PDF	N/A
Class-Agnostic Object Counting Robust to Intraclass Diversity	Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele	PDF	N/A
Burn after Reading: Online Adaptation for Cross-Domain Streaming Data	Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah	PDF	N/A
Mind the Gap in Distilling StyleGANs	Guodong Xu, Yuenan Hou, Ziwei Liu, Chen Change Loy	PDF	N/A
Improving Test-Time Adaptation via Shift-Agnostic Weight Regularization and Nearest Source Prototypes	Sungha Choi, Seunghan Yang, Seokeon Choi, Sungrack Yun	PDF	N/A
Learning Instance-Specific Adaptation for Cross-Domain Segmentation	Yuliang Zou, Zizhao Zhang, Chun-Liang Li, Han Zhang, Tomas Pfister, Jia-Bin Huang	PDF	N/A
RegionCL: Exploring Contrastive Region Pairs for Self-Supervised Representation Learning	Yufei Xu, Qiming Zhang, Jing Zhang, Dacheng Tao	PDF	N/A
Long-Tailed Class Incremental Learning	Xialei Liu, Yu-Song Hu, Xu-Sheng Cao, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng	PDF	N/A
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning	Hyounguk Shon, Janghyeon Lee, Seung Hwan Kim, Junmo Kim	PDF	N/A
Adversarial Partial Domain Adaptation by Cycle Inconsistency	Kun-Yu Lin, Jiaming Zhou, Yukun Qiu, Wei-Shi Zheng	PDF	N/A
Combating Label Distribution Shift for Active Domain Adaptation	Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak	PDF	N/A
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation	Cristiano Saltori, Evgeny Krivosheev, Stéphane Lathuilière, Nicu Sebe, Fabio Galasso, Giuseppe Fiameni, Elisa Ricci, Fabio Poiesi	PDF	N/A
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation	Cristiano Saltori, Fabio Galasso, Giuseppe Fiameni, Nicu Sebe, Elisa Ricci, Fabio Poiesi	PDF	N/A
A Unified Framework for Domain Adaptive Pose Estimation	Donghyun Kim, Kaihong Wang, Kate Saenko, Margrit Betke, Stan Sclaroff	PDF	N/A
A Broad Study of Pre-training for Domain Generalization and Adaptation	Donghyun Kim, Kaihong Wang, Stan Sclaroff, Kate Saenko	PDF	N/A
Prior Knowledge Guided Unsupervised Domain Adaptation	Tao Sun, Cheng Lu, Haibin Ling	PDF	N/A
GCISG: Guided Causal Invariant Learning for Improved Syn-to-Real Generalization	Gilhyun Nam, Gyeongjae Choi, Kyungmin Lee	PDF	N/A
AcroFOD: An Adaptive Method for Cross-Domain Few-Shot Object Detection	Yipeng Gao, Lingxiao Yang, Yunmu Huang, Song Xie, Shiyong Li, Wei-Shi Zheng	PDF	N/A
Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to Bounding Box	Jayeon Yoo, Inseop Chung, Nojun Kwak	PDF	N/A
Visual Prompt Tuning	Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, Ser-Nam Lim	PDF	N/A
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap	Yongwei Chen, Zihao Wang, Longkun Zou, Ke Chen, Kui Jia	PDF	N/A
Interpretable Open-Set Domain Adaptation via Angular Margin Separation	Xinhao Li, Jingjing Li, Zhekai Du, Lei Zhu, Wen Li	PDF	N/A
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation	Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool	PDF	N/A
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation	Zhengkai Jiang, Yuxi Li, Ceyuan Yang, Peng Gao, Yabiao Wang, Ying Tai, Chengjie Wang	PDF	N/A
RBC: Rectifying the Biased Context in Continual Semantic Segmentation	Hanbin Zhao, Fengyu Yang, Xinghe Fu, Xi Li	PDF	N/A
Factorizing Knowledge in Neural Networks	Xingyi Yang, Jingwen Ye, Xinchao Wang	PDF	N/A
Contrastive Vicinal Space for Unsupervised Domain Adaptation	Jaemin Na, Dongyoon Han, Hyung Jin Chang, Wonjun Hwang	PDF	N/A
Cross-Modal Knowledge Transfer without Task-Relevant Source Data	Sk Miraj Ahmed, Suhas Lohit, Kuan-Chuan Peng, Michael J. Jones, Amit K. Roy-Chowdhury	PDF	N/A
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions	Theodoros Panagiotakopoulos, Pier Luigi Dovesi, Linus Härenstam-Nielsen, Matteo Poggi	PDF	N/A
Source-Free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition	Yuecong Xu, Jianfei Yang, Haozhi Cao, Keyu Wu, Min Wu, Zhenghua Chen	PDF	N/A
BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation	Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, Wei He, Dacheng Tao	PDF	N/A
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks	Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng	PDF	N/A
Incomplete Multi-View Domain Adaptation via Channel Enhancement and Knowledge Transfer	Haifeng Xia, Pu Wang, Zhengming Ding	PDF	N/A
DistPro: Searching a Fast Knowledge Distillation Process via Meta Optimization	Xueqing Deng, Dawei Sun, Shawn Newsam, Peng Wang	PDF	N/A
ML-BPM: Multi-Teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation	Fei Pan, Sungsu Hur, Seokju Lee, Junsik Kim, In So Kweon	PDF	N/A
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks	Nan Ding, Xi Chen, Tomer Levinboim, Soravit Changpinyo, Radu Soricut	PDF	N/A
Personalized Education: Blind Knowledge Distillation	Xiang Deng, Jian Zheng, Zhongfei Zhang	PDF	N/A
Not All Models Are Equal: Predicting Model Transferability in a Self-Challenging Fisher Space	Wenqi Shao, Xun Zhao, Yixiao Ge, Zhaoyang Zhang, Lei Yang, Xiaogang Wang, Ying Shan, Ping Luo	PDF	N/A
How Stable Are Transferability Metrics Evaluations?	Andrea Agostinelli, Michal Pándy, Jasper Uijlings, Thomas Mensink, Vittorio Ferrari	PDF	N/A
Attention Diversification for Domain Generalization	Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu	PDF	N/A
ESS: Learning Event-Based Semantic Segmentation from Still Images	Zhaoning Sun, Nico Messikommer, Daniel Gehrig, Davide Scaramuzza	PDF	N/A
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection	Yuetian Weng, Zizheng Pan, Mingfei Han, Xiaojun Chang, Bohan Zhuang	PDF	N/A
Human Trajectory Prediction via Neural Social Physics	Jiangbei Yue, Dinesh Manocha, He Wang	PDF	N/A
Towards Open Set Video Anomaly Detection	Yuansheng Zhu, Wentao Bao, Qi Yu	PDF	N/A
ECLIPSE: Efficient Long-Range Video Retrieval Using Sight and Sound	Yan-Bo Lin, Jie Lei, Mohit Bansal, Gedas Bertasius	PDF	N/A
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing	Haoyue Cheng, Zhaoyang Liu, Hang Zhou, Chen Qian, Wayne Wu, Limin Wang	PDF	N/A
Less than Few: Self-Shot Video Instance Segmentation	Pengwan Yang, Yuki M. Asano, Pascal Mettes, Cees G. M. Snoek	PDF	N/A
Adaptive Face Forgery Detection in Cross Domain	Luchuan Song, Zheng Fang, Xiaodan Li, Xiaoyi Dong, Zhenchao Jin, Yuefeng Chen, Siwei Lyu	PDF	N/A
Real-Time Online Video Detection with Temporal Smoothing Transformers	Yue Zhao, Philipp Krähenbühl	PDF	N/A
TALLFormer: Temporal Action Localization with a Long-Memory Transformer	Feng Cheng, Gedas Bertasius	PDF	N/A
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation	Guolei Sun, Yun Liu, Hao Tang, Ajad Chhatkuli, Le Zhang, Luc Van Gool	PDF	N/A
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency	Medhini Narasimhan, Arsha Nagrani, Chen Sun, Michael Rubinstein, Trevor Darrell, Anna Rohrbach, Cordelia Schmid	PDF	N/A
Rethinking Learning Approaches for Long-Term Action Anticipation	Megha Nawhal, Akash Abdu Jyothi, Greg Mori	PDF	N/A
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition	Yuxuan Liang, Pan Zhou, Roger Zimmermann, Shuicheng Yan	PDF	N/A
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation	Gensheng Pei, Fumin Shen, Yazhou Yao, Guo-Sen Xie, Zhenmin Tang, Jinhui Tang	PDF	N/A
PAC-Net: Highlight Your Video via History Preference Modeling	Hang Wang, Penghao Zhou, Chong Zhou, Zhao Zhang, Xing Sun	PDF	N/A
How Severe Is Benchmark-Sensitivity in Video Self-Supervised Learning?	Fida Mohammad Thoker, Hazel Doughty, Piyush Bagad, Cees G. M. Snoek	PDF	N/A
A Sliding Window Scheme for Online Temporal Action Localization	Young Hwi Kim, Hyolim Kang, Seon Joo Kim	PDF	N/A
ERA: Expert Retrieval and Assembly for Early Action Prediction	Lin Geng Foo, Tianjiao Li, Hossein Rahmani, Qiuhong Ke, Jun Liu	PDF	N/A
Dual Perspective Network for Audio-Visual Event Localization	Varshanth Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu	PDF	N/A
NSNet: Non-Saliency Suppression Sampler for Efficient Video Recognition	Boyang Xia, Wenhao Wu, Haoran Wang, Rui Su, Dongliang He, Haosen Yang, Xiaoran Fan, Wanli Ouyang	PDF	N/A
Video Activity Localisation with Uncertainties in Temporal Boundary	Jiabo Huang, Hailin Jin, Shaogang Gong, Yang Liu	PDF	N/A
Temporal Saliency Query Network for Efficient Video Recognition	Boyang Xia, Zhihao Wang, Wenhao Wu, Haoran Wang, Jungong Han	PDF	N/A
Efficient One-Stage Video Object Detection by Exploiting Temporal Consistency	Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson	PDF	N/A
Leveraging Action Affinity and Continuity for Semi-Supervised Temporal Action Segmentation	Guodong Ding, Angela Yao	PDF	N/A
"Spotting Temporally Precise, Fine-Grained Events in Video"	James Hong, Haotian Zhang, Michaël Gharbi, Matthew Fisher, Kayvon Fatahalian	PDF	N/A
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation	Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Jürgen Gall, Mehdi Noroozi	PDF	N/A
Efficient Video Transformers with Spatial-Temporal Token Selection	Junke Wang, Xitong Yang, Hengduo Li, Li Liu, Zuxuan Wu, Yu-Gang Jiang	PDF	N/A
Long Movie Clip Classification with State-Space Video Models	Md Mohaiminul Islam, Gedas Bertasius	PDF	N/A
Prompting Visual-Language Models for Efficient Video Understanding	Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie	PDF	N/A
Asymmetric Relation Consistency Reasoning for Video Relation Grounding	Huan Li, Ping Wei, Jiapeng Li, Zeyu Ma, Jiahui Shang, Nanning Zheng	PDF	N/A
Self-Supervised Social Relation Representation for Human Group Detection	Jiacheng Li, Ruize Han, Haomin Yan, Zekun Qian, Wei Feng, Song Wang	PDF	N/A
K-Centered Patch Sampling for Efficient Video Recognition	Seong Hyeon Park, Jihoon Tack, Byeongho Heo, Jung-Woo Ha, Jinwoo Shin	PDF	N/A
A Deep Moving-Camera Background Model	Guy Erez, Ron Shapira Weber, Oren Freifeld	PDF	N/A
GraphVid: It Only Takes a Few Nodes to Understand a Video	Eitan Kosman, Dotan Di Castro	PDF	N/A
Delta Distillation for Efficient Video Processing	Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli	PDF	N/A
MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning	David Junhao Zhang, Kunchang Li, Yali Wang, Yunpeng Chen, Shashwat Chandra, Yu Qiao, Luoqi Liu, Mike Zheng Shou	PDF	N/A
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality	Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf	PDF	N/A
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context	Zizhang Li, Mengmeng Wang, Huaijin Pi, Kechun Xu, Jianbiao Mei, Yong Liu	PDF	N/A
TDViT: Temporal Dilated Video Transformer for Dense Video Tasks	Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson	PDF	N/A
Semi-Supervised Learning of Optical Flow by Flow Supervisor	Woobin Im, Sebin Lee, Sung-Eui Yoon	PDF	N/A
Flow Graph to Video Grounding for Weakly-Supervised Multi-step Localization	Nikita Dvornik, Isma Hadji, Hai Pham, Dhaivat Bhatt, Brais Martinez, Afsaneh Fazly, Allan D. Jepson	PDF	N/A
Deep 360° Optical Flow Estimation Based on Multi-Projection Fusion	Yiheng Li, Connelly Barnes, Kun Huang, Fang-Lue Zhang	PDF	N/A
MaCLR: Motion-Aware Contrastive Learning of Representations for Videos	Fanyi Xiao, Joseph Tighe, Davide Modolo	PDF	N/A
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection	Kyle Min, Sourya Roy, Subarna Tripathi, Tanaya Guha, Somdeb Majumdar	PDF	N/A
Frozen CLIP Models Are Efficient Video Learners	Ziyi Lin, Shijie Geng, Renrui Zhang, Peng Gao, Gerard de Melo, Xiaogang Wang, Jifeng Dai, Yu Qiao, Hongsheng Li	PDF	N/A
PIP: Physical Interaction Prediction via Mental Simulation with Span Selection	Jiafei Duan, Samson Yu, Soujanya Poria, Bihan Wen, Cheston Tan	PDF	N/A
Panoramic Vision Transformer for Saliency Detection in 360° Videos	Heeseung Yun, Sehun Lee, Gunhee Kim	PDF	N/A
Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration	Aditi Basu Bal, Ramy Mounir, Sathyanarayanan Aakur, Sudeep Sarkar, Anuj Srivastava	PDF	N/A
Motion Sensitive Contrastive Learning for Self-Supervised Video Representation	Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang	PDF	N/A
Dynamic Temporal Filtering In Video Models	Fuchen Long, Zhaofan Qiu, Yingwei Pan, Ting Yao, Chong-Wah Ngo, Tao Mei	PDF	N/A
Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification	Renrui Zhang, Wei Zhang, Rongyao Fang, Peng Gao, Kunchang Li, Jifeng Dai, Yu Qiao, Hongsheng Li	PDF	N/A
Temporal Lift Pooling for Continuous Sign Language Recognition	Lianyu Hu, Liqing Gao, Zekang Liu, Wei Feng	PDF	N/A
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes	Yang Jiao, Shaoxiang Chen, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang	PDF	N/A
SiRi: A Simple Selective Retraining Mechanism for Transformer-Based Visual Grounding	Mengxue Qu, Yu Wu, Wu Liu, Qiqi Gong, Xiaodan Liang, Olga Russakovsky, Yao Zhao, Yunchao Wei	PDF	N/A
Cross-Modal Prototype Driven Network for Radiology Report Generation	Jun Wang, Abhir Bhalerao, Yulan He	PDF	N/A
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts	Chuan Guo, Xinxin Zuo, Sen Wang, Li Cheng	PDF	N/A
SeqTR: A Simple Yet Universal Network for Visual Grounding	Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, Rongrong Ji	PDF	N/A
VTC: Improving Video-Text Retrieval with User Comments	Laura Hanu, James Thewlis, Yuki M. Asano, Christian Rupprecht	PDF	N/A
FashionViL: Fashion-Focused Vision-and-Language Representation Learning	Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang	PDF	N/A
Weakly Supervised Grounding for VQA in Vision-Language Transformers	Aisha Urooj, Hilde Kuehne, Chuang Gan, Niels Da Vitoria Lobo, Mubarak Shah	PDF	N/A
Automatic Dense Annotation of Large-Vocabulary Sign Language Videos	Liliane Momeni, Hannah Bull, K R Prajwal, Samuel Albanie, Gül Varol, Andrew Zisserman	PDF	N/A
MILES: Visual BERT Pre-training with Injected Language Semantics for Video-Text Retrieval	Yuying Ge, Yixiao Ge, Xihui Liu, Jinpeng Wang, Jianping Wu, Ying Shan, Xiaohu Qie, Ping Luo	PDF	N/A
"GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval"	Yuxuan Wang, Difei Gao, Licheng Yu, Weixian Lei, Matt Feiszli, Mike Zheng Shou	PDF	N/A
A Simple and Robust Correlation Filtering Method for Text-Based Person Search	Wei Suo, Mengyang Sun, Kai Niu, Yiqi Gao, Peng Wang, Yanning Zhang, Qi Wu	PDF	N/A
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing	Benedikt Boecking, Naoto Usuyama, Shruthi Bannur, Daniel C. Castro, Anton Schwaighofer, Stephanie Hyland, Maria Wetscherek, Tristan Naumann, Aditya Nori, Javier Alvarez-Valle, Hoifung Poon, Ozan Oktay	PDF	N/A
Generative Negative Text Replay for Continual Vision-Language Pretraining	Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He	PDF	N/A
Video Graph Transformer for Video Question Answering	Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan	PDF	N/A
Trace Controlled Text to Image Generation	Kun Yan, Lei Ji, Chenfei Wu, Jianmin Bao, Ming Zhou, Nan Duan, Shuai Ma	PDF	N/A
Video Question Answering with Iterative Video-Text Co-Tokenization	AJ Piergiovanni, Kairo Morton, Weicheng Kuo, Michael S. Ryoo, Anelia Angelova	PDF	N/A
Rethinking Data Augmentation for Robust Visual Question Answering	Long Chen, Yuhang Zheng, Jun Xiao	PDF	N/A
Explicit Image Caption Editing	Zhen Wang, Long Chen, Wenbo Ma, Guangxing Han, Yulei Niu, Jian Shao, Jun Xiao	PDF	N/A
Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding	Jiachang Hao, Haifeng Sun, Pengfei Ren, Jingyu Wang, Qi Qi, Jianxin Liao	PDF	N/A
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly	Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach	PDF	N/A
GRIT: Faster and Better Image Captioning Transformer Using Dual Visual Features	Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani	PDF	N/A
Selective Query-Guided Debiasing for Video Corpus Moment Retrieval	Sunjae Yoon, Ji Woo Hong, Eunseop Yoon, Dahyun Kim, Junyeong Kim, Hee Suk Yoon, Chang D. Yoo	PDF	N/A
Spatial and Visual Perspective-Taking via View Rotation and Relation Reasoning for Embodied Reference Understanding	Cheng Shi, Sibei Yang	PDF	N/A
Object-Centric Unsupervised Image Captioning	Zihang Meng, David Yang, Xuefei Cao, Ashish Shah, Ser-Nam Lim	PDF	N/A
Contrastive Vision-Language Pre-training with Limited Resources	Quan Cui, Boyan Zhou, Yu Guo, Weidong Yin, Hao Wu, Osamu Yoshie, Yubo Chen	PDF	N/A
Learning Linguistic Association towards Efficient Text-Video Retrieval	Sheng Fang, Shuhui Wang, Junbao Zhuo, Xinzhe Han, Qingming Huang	PDF	N/A
ASSISTER: Assistive Navigation via Conditional Instruction Generation	Zanming Huang, Zhongkai Shangguan, Jimuyang Zhang, Gilad Bar, Matthew Boyd, Eshed Ohn-Bar	PDF	N/A
X-DETR: A Versatile Architecture for Instance-Wise Vision-Language Tasks	Zhaowei Cai, Gukyeong Kwon, Avinash Ravichandran, Erhan Bas, Zhuowen Tu, Rahul Bhotika, Stefano Soatto	PDF	N/A
Learning Disentanglement with Decoupled Labels for Vision-Language Navigation	Wenhao Cheng, Xingping Dong, Salman Khan, Jianbing Shen	PDF	N/A
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input	Qingpei Guo, Kaisheng Yao, Wei Chu	PDF	N/A
Word-Level Fine-Grained Story Visualization	Bowen Li	PDF	N/A
Unifying Event Detection and Captioning as Sequence Generation via Pre-training	Qi Zhang, Yuqing Song, Qin Jin	PDF	N/A
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation	Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan	PDF	N/A
Fine-Grained Visual Entailment	Christopher Thomas, Yipeng Zhang, Shih-Fu Chang	PDF	N/A
Bottom Up Top down Detection Transformers for Language Grounding in Images and Point Clouds	Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki	PDF	N/A
New Datasets and Models for Contextual Reasoning in Visual Dialog	Yifeng Zhang, Ming Jiang, Qi Zhao	PDF	N/A
VisageSynTalk: Unseen Speaker Video-to-Speech Synthesis via Speech-Visage Feature Selection	Joanna Hong, Minsu Kim, Yong Man Ro	PDF	N/A
Classification-Regression for Chart Comprehension	Matan Levy, Rami Ben-Ari, Dani Lischinski	PDF	N/A
AssistQ: Affordance-Centric Question-Driven Task Completion for Egocentric Assistant	Benita Wong, Joya Chen, You Wu, Stan Weixian Lei, Dongxing Mao, Difei Gao, Mike Zheng Shou	PDF	N/A
FindIt: Generalized Localization with Natural Language Queries	Weicheng Kuo, Fred Bertsch, Wei Li, AJ Piergiovanni, Mohammad Saffar, Anelia Angelova	PDF	N/A
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling	Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Faisal Ahmed, Zicheng Liu, Yumao Lu, Lijuan Wang	PDF	N/A
Scaling Open-Vocabulary Image Segmentation with Image-Level Labels	Golnaz Ghiasi, Xiuye Gu, Yin Cui, Tsung-Yi Lin	PDF	N/A
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning	Jack Hessel, Jena D. Hwang, Jae Sung Park, Rowan Zellers, Chandra Bhagavatula, Anna Rohrbach, Kate Saenko, Yejin Choi	PDF	N/A
Speaker-Adaptive Lip Reading with User-Dependent Padding	Minsu Kim, Hyunjun Kim, Yong Man Ro	PDF	N/A
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation	Tan M. Dinh, Rang Nguyen, Binh-Son Hua	PDF	N/A
SemAug: Semantically Meaningful Image Augmentations for Object Detection through Language Grounding	Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang	PDF	N/A
Referring Object Manipulation of Natural Images with Conditional Classifier-Free Guidance	Myungsub Choi	PDF	N/A
NewsStories: Illustrating Articles with Visual Summaries	Reuben Tan, Bryan A. Plummer, Kate Saenko, JP Lewis, Avneesh Sud, Thomas Leung	PDF	N/A
Webly Supervised Concept Expansion for General Purpose Vision Models	Amita Kamath, Christopher Clark, Tanmay Gupta, Eric Kolve, Derek Hoiem, Aniruddha Kembhavi	PDF	N/A
FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation	Kaiwen Zhou, Xin Eric Wang	PDF	N/A
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval	Haoran Wang, Dongliang He, Wenhao Wu, Boyang Xia, Min Yang, Fu Li, Yunlong Yu, Zhong Ji, Errui Ding, Jingdong Wang	PDF	N/A
Language-Driven Artistic Style Transfer	Tsu-Jui Fu, Xin Eric Wang, William Yang Wang	PDF	N/A
Single-Stream Multi-level Alignment for Vision-Language Pretraining	Zaid Khan, Vijay Kumar B G, Xiang Yu, Samuel Schulter, Manmohan Chandraker, Yun Fu	PDF	N/A
Most and Least Retrievable Images in Visual-Language Query Systems	Liuwan Zhu, Rui Ning, Jiang Li, Chunsheng Xin, Hongyi Wu	PDF	N/A
Sports Video Analysis on Large-Scale Data	Dekun Wu, He Zhao, Xingce Bao, Richard P. Wildes	PDF	N/A
Grounding Visual Representations with Texts for Domain Generalization	Seonwoo Min, Nokyung Park, Siwon Kim, Seunghyun Park, Jinkyu Kim	PDF	N/A
Bridging the Visual Semantic Gap in VLN via Semantically Richer Instructions	Joaquín Ossandón, Benjamín Earle, Alvaro Soto	PDF	N/A
StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation	Adyasha Maharana, Darryl Hannan, Mohit Bansal	PDF	N/A
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance	Katherine Crowson, Stella Biderman, Daniel Kornis, Dashiell Stander, Eric Hallahan, Louis Castricato, Edward Raff	PDF	N/A
Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation	Xian Liu, Yinghao Xu, Qianyi Wu, Hang Zhou, Wayne Wu, Bolei Zhou	PDF	N/A
End-to-End Active Speaker Detection	Juan León Alcázar, Moritz Cordes, Chen Zhao, Bernard Ghanem	PDF	N/A
Emotion Recognition for Multiple Context Awareness	Dingkang Yang, Shuai Huang, Shunli Wang, Yang Liu, Peng Zhai, Liuzhen Su, Mingcheng Li, Lihua Zhang	PDF	N/A
Adaptive Fine-Grained Sketch-Based Image Retrieval	Ayan Kumar Bhunia, Aneeshan Sain, Parth Hiren Shah, Animesh Gupta, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song	PDF	N/A
Quantized GAN for Complex Music Generation from Dance Videos	Ye Zhu, Kyle Olszewski, Yu Wu, Panos Achlioptas, Menglei Chai, Yan Yan, Sergey Tulyakov	PDF	N/A
Uncertainty-Aware Multi-modal Learning via Cross-Modal Random Network Prediction	Hu Wang, Jianpeng Zhang, Yuanhong Chen, Congbo Ma, Jodie Avery, Louise Hull, Gustavo Carneiro	PDF	N/A
Localizing Visual Sounds the Easy Way	Shentong Mo, Pedro Morgado	PDF	N/A
Learning Visual Styles from Audio-Visual Associations	Tingle Li, Yichen Liu, Andrew Owens, Hang Zhao	PDF	N/A
Remote Respiration Monitoring of Moving Person Using Radio Signals	Jae-Ho Choi, Ki-Bong Kang, Kyung-Tae Kim	PDF	N/A
Camera Pose Estimation and Localization with Active Audio Sensing	Karren Yang, Michael Firman, Eric Brachmann, Clément Godard	PDF	N/A
PACS: A Dataset for Physical Audiovisual Commonsense Reasoning	Samuel Yu, Peter Wu, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency	PDF	N/A
VoViT: Low Latency Graph-Based Audio-Visual Voice Separation Transformer	Juan F. Montesinos, Venkatesh S. Kadandale, Gloria Haro	PDF	N/A
Telepresence Video Quality Assessment	Zhenqiang Ying, Deepti Ghadiyaram, Alan Bovik	PDF	N/A
MultiMAE: Multi-modal Multi-task Masked Autoencoders	Roman Bachmann, David Mizrahi, Andrei Atanov, Amir Zamir	PDF	N/A
AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation	Efthymios Tzinis, Scott Wisdom, Tal Remez, John R. Hershey	PDF	N/A
Audio—Visual Segmentation	Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, Yiran Zhong	PDF	N/A
Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression	Yeying Jin, Wenhan Yang, Robby T. Tan	PDF	N/A
Relationformer: A Unified Framework for Image-to-Graph Generation	Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern Menze	PDF	N/A
GAMa: Cross-view Video Geo-localization	Shruti Vyas, Chen Chen, Mubarak Shah	PDF	N/A
Revisiting a kNN-based Image Classification System with High-capacity Storage	Kengo Nakata, Youyang Ng, Daisuke Miyashita, Asuka Maki, Yu-Chieh Lin, Jun Deguchi	PDF	N/A
Geometric Representation Learning for Document Image Rectification	Hao Feng, Wengang Zhou, Jiajun Deng, Yuechen Wang, Houqiang Li	PDF	N/A
S2-VER: Semi-Supervised Visual Emotion Recognition	Guoli Jia, Jufeng Yang	PDF	N/A
Image Coding for Machines with Omnipotent Feature Learning	Ruoyu Feng, Xin Jin, Zongyu Guo, Runsen Feng, Yixin Gao, Tianyu He, Zhizheng Zhang, Simeng Sun, Zhibo Chen	PDF	N/A
Feature Representation Learning for Unsupervised Cross-Domain Image Retrieval	Conghui Hu, Gim Hee Lee	PDF	N/A
"Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition"	Shilin Xu, Xiangtai Li, Jingbo Wang, Guangliang Cheng, Yunhai Tong, Dacheng Tao	PDF	N/A
Semantic-Guided Multi-Mask Image Harmonization	Xuqian Ren, Yifan Liu	PDF	N/A
Learning an Isometric Surface Parameterization for Texture Unwrapping	Sagnik Das, Ke Ma, Zhixin Shu, Dimitris Samaras	PDF	N/A
Towards Regression-Free Neural Networks for Diverse Compute Platforms	Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia	PDF	N/A
Relationship Spatialization for Depth Estimation	Xiaoyu Xu, Jiayan Qiu, Xinchao Wang, Zhou Wang	PDF	N/A
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models	Chenfeng Xu, Shijia Yang, Tomer Galanti, Bichen Wu, Xiangyu Yue, Bohan Zhai, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka	PDF	N/A
FAR: Fourier Aerial Video Recognition	Divya Kothandaraman, Tianrui Guan, Xijun Wang, Shuowen Hu, Ming Lin, Dinesh Manocha	PDF	N/A
Translating a Visual LEGO Manual to a Machine-Executable Plan	Ruocheng Wang, Yunzhi Zhang, Jiayuan Mao, Chin-Yi Cheng, Jiajun Wu	PDF	N/A
Fabric Material Recovery from Video Using Multi-Scale Geometric Auto-Encoder	Junbang Liang, Ming Lin	PDF	N/A
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment	Jie Ren, Wenteng Liang, Ran Yan, Luo Mai, Shiwen Liu, Xiao Liu	PDF	N/A
The One Where They Reconstructed 3D Humans and Environments in TV Shows	Georgios Pavlakos, Ethan Weber, Matthew Tancik, Angjoo Kanazawa	PDF	N/A
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices Using Submodular Mutual Information	Suraj Kothawade, Saikat Ghosh, Sumit Shekhar, Yu Xiang, Rishabh Iyer	PDF	N/A
An Efficient Person Clustering Algorithm for Open Checkout-Free Groceries	Junde Wu, Yu Zhang, Rao Fu, Yuanpei Liu, Jing Gao	PDF	N/A
POP: Mining POtential Performance of New Fashion Products via Webly Cross-Modal Query Expansion	Christian Joppi, Geri Skenderi, Marco Cristani	PDF	N/A
Pose Forecasting in Industrial Human-Robot Collaboration	Alessio Sampieri, Guido Maria D’Amely di Melendugno, Andrea Avogaro, Federico Cunico, Francesco Setti, Geri Skenderi, Marco Cristani, Fabio Galasso	PDF	N/A
Actor-Centered Representations for Action Localization in Streaming Videos	Sathyanarayanan Aakur, Sudeep Sarkar	PDF	N/A
Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT	Xiufeng Xie, Ning Zhou, Wentao Zhu, Ji Liu	PDF	N/A
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment	Paritosh Parmar, Amol Gharat, Helge Rhodin	PDF	N/A
Responsive Listening Head Generation: A Benchmark Dataset and Baseline	Mohan Zhou, Yalong Bai, Wei Zhang, Ting Yao, Tiejun Zhao, Tao Mei	PDF	N/A
"Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics"	Sen Zhang, Jing Zhang, Dacheng Tao	PDF	N/A
TIPS: Text-Induced Pose Synthesis	Prasun Roy, Subhankar Ghosh, Saumik Bhattacharya, Umapada Pal, Michael Blumenstein	PDF	N/A
Addressing Heterogeneity in Federated Learning via Distributional Transformation	Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao	PDF	N/A
Where in the World Is This Image? Transformer-Based Geo-Localization in the Wild	Shraman Pramanick, Ewa M. Nowara, Joshua Gleason, Carlos D. Castillo, Rama Chellappa	PDF	N/A
Colorization for In Situ Marine Plankton Images	Guannan Guo, Qi Lin, Tao Chen, Zhenghui Feng, Zheng Wang, Jianping Li	PDF	N/A
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection	Mingyu Yang, Yu Chen, Hun-Seok Kim	PDF	N/A
A Sketch Is Worth a Thousand Words: Image Retrieval with Text and Sketch	Patsorn Sangkloy, Wittawat Jitkrittum, Diyi Yang, James Hays	PDF	N/A
A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D	Tianyi Liu, Sen He, Vinodh Kumaran Jayakumar, Wei Wang	PDF	N/A
AutoTransition: Learning to Recommend Video Transition Effects	Yaojie Shen, Libo Zhang, Kai Xu, Xiaojie Jin	PDF	N/A
Online Segmentation of LiDAR Sequences: Dataset and Algorithm	Romain Loiseau, Mathieu Aubry, Loïc Landrieu	PDF	N/A
Open-World Semantic Segmentation for LIDAR Point Clouds	Jun Cen, Peng Yun, Shiwei Zhang, Junhao Cai, Di Luan, Mingqian Tang, Ming Liu, Michael Yu Wang	PDF	N/A
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients	Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger	PDF	N/A
Differentiable Raycasting for Self-Supervised Occupancy Forecasting	Tarasha Khurana, Peiyun Hu, Achal Dave, Jason Ziglar, David Held, Deva Ramanan	PDF	N/A
InAction: Interpretable Action Decision Making for Autonomous Driving	Taotao Jing, Haifeng Xia, Renran Tian, Haoran Ding, Xiao Luo, Joshua Domeyer, Rini Sherony, Zhengming Ding	PDF	N/A
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection	Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany Chen, Dragomir Anguelov	PDF	N/A
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving	Kaican Li, Kai Chen, Haoyu Wang, Lanqing Hong, Chaoqiang Ye, Jianhua Han, Yukuai Chen, Wei Zhang, Chunjing Xu, Dit-Yan Yeung, Xiaodan Liang, Zhenguo Li, Hang Xu	PDF	N/A
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving	Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov	PDF	N/A
StretchBEV: Stretching Future Instance Prediction Spatially and Temporally	Adil Kaan Akan, Fatma Güney	PDF	N/A
RCLane: Relay Chain Prediction for Lane Detection	Shenghua Xu, Xinyue Cai, Bin Zhao, Li Zhang, Hang Xu, Yanwei Fu, Xiangyang Xue	PDF	N/A
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation	Antonin Vobecky, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic	PDF	N/A
CenterFormer: Center-based Transformer for 3D Object Detection	Zixiang Zhou, Xiangchen Zhao, Yu Wang, Panqu Wang, Hassan Foroosh	PDF	N/A
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches	Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang	PDF	N/A
ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning	Shengchao Hu, Li Chen, Penghao Wu, Hongyang Li, Junchi Yan, Dacheng Tao	PDF	N/A
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark	Li Chen, Chonghao Sima, Yang Li, Zehan Zheng, Jiajie Xu, Xiangwei Geng, Hongyang Li, Conghui He, Jianping Shi, Yu Qiao, Junchi Yan	PDF	N/A
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation	Kwonyoung Kim, Jungin Park, Jiyoung Lee, Dongbo Min, Kwanghoon Sohn	PDF	N/A
BRNet: Exploring Comprehensive Features for Monocular Depth Estimation	Wencheng Han, Junbo Yin, Xiaogang Jin, Xiangdong Dai, Jianbing Shen	PDF	N/A
SiamDoGe: Domain Generalizable Semantic Segmentation Using Siamese Network	Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Lili Ju, Song Wang	PDF	N/A
Context-Aware Streaming Perception in Dynamic Environments	Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica	PDF	N/A
SpOT: Spatiotemporal Modeling for 3D Object Tracking	Colton Stearns, Davis Rempe, Jie Li, Rareș Ambruș, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas	PDF	N/A
Multimodal Transformer for Automatic 3D Annotation and Object Detection	Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Lam, Siew-Chong Tan, Ngai Wong	PDF	N/A
Dynamic 3D Scene Analysis by Point Cloud Accumulation	Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler	PDF	N/A
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection	Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, Liang He	PDF	N/A
"JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes"	Haimei Zhao, Jing Zhang, Sen Zhang, Dacheng Tao	PDF	N/A
Semi-Supervised 3D Object Detection with Proficient Teachers	Junbo Yin, Jin Fang, Dingfu Zhou, Liangjun Zhang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang	PDF	N/A
Point Cloud Compression with Sibling Context and Surface Priors	Zhili Chen, Zian Qian, Sukai Wang, Qifeng Chen	PDF	N/A
Lane Detection Transformer Based on Multi-Frame Horizontal and Vertical Attention and Visual Transformer Module	Han Zhang, Yunchao Gu, Xinliang Wang, Junjun Pan, Minghui Wang	PDF	N/A
ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection	Junbo Yin, Dingfu Zhou, Liangjun Zhang, Jin Fang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang	PDF	N/A
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map	Chenfeng Xu, Tian Li, Chen Tang, Lingfeng Sun, Kurt Keutzer, Masayoshi Tomizuka, Alireza Fathi, Wei Zhan	PDF	N/A
Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions	Nikhil Reddy, Abhinav Singhal, Abhishek Kumar, Mahsa Baktashmotlagh, Chetan Arora	PDF	N/A
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds	Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov	PDF	N/A
Visual Cross-View Metric Localization with Dense Uncertainty Estimates	Zimin Xia, Olaf Booij, Marco Manfredi, Julian F. P. Kooij	PDF	N/A
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer	Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, Jiaqi Ma	PDF	N/A
DevNet: Self-Supervised Monocular Depth Learning via Density Volume Construction	Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li	PDF	N/A
Action-Based Contrastive Learning for Trajectory Prediction	Marah Halawa, Olaf Hellwich, Pia Bideau	PDF	N/A
Radatron: Accurate Detection Using Multi-Resolution Cascaded MIMO Radar	Sohrab Madani, Jayden Guan, Waleed Ahmed, Saurabh Gupta, Haitham Hassanieh	PDF	N/A
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection	Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu	PDF	N/A
Efficient Point Cloud Segmentation with Geometry-Aware Sparse Networks	Maosheng Ye, Rui Wan, Shuangjie Xu, Tongyi Cao, Qifeng Chen	PDF	N/A
FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-World Point Clouds	Lihe Ding, Shaocong Dong, Tingfa Xu, Xinli Xu, Jie Wang, Jianan Li	PDF	N/A
SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection from Multi-View Camera Images with Global Cross-Sensor Attention	Simon Doll, Richard Schulz, Lukas Schneider, Viviane Benzin, Markus Enzweiler, Hendrik P.A. Lensch	PDF	N/A
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes	Yu Tian, Yuyuan Liu, Guansong Pang, Fengbei Liu, Yuanhong Chen, Gustavo Carneiro	PDF	N/A
Rethinking Closed-Loop Training for Autonomous Driving	Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun	PDF	N/A
SLiDE: Self-Supervised LiDAR De-Snowing through Reconstruction Difficulty	Gwangtak Bae, Byungjun Kim, Seongyong Ahn, Jihong Min, Inwook Shim	PDF	N/A
Generative Meta-Adversarial Network for Unseen Object Navigation	Sixian Zhang, Weijie Li, Xinhang Song, Yubing Bai, Shuqiang Jiang	PDF	N/A
Object Manipulation via Visual Target Localization	Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi, Roozbeh Mottaghi	PDF	N/A
MoDA: Map Style Transfer for Self-Supervised Domain Adaptation of Embodied Agents	Eun Sun Lee, Junho Kim, SangWon Park, Young Min Kim	PDF	N/A
Housekeep: Tidying Virtual Households Using Commonsense Reasoning	Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal	PDF	N/A
Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects	Qiyu Dai, Jiyao Zhang, Qiwei Li, Tianhao Wu, Hao Dong, Ziyuan Liu, Ping Tan, He Wang	PDF	N/A
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction	Chia-Chi Chuang, Donglin Yang, Chuan Wen, Yang Gao	PDF	N/A
OPD: Single-View 3D Openable Part Detection	Hanxiao Jiang, Yongsen Mao, Manolis Savva, Angel X. Chang	PDF	N/A
AirDet: Few-Shot Detection without Fine-Tuning for Autonomous Exploration	Bowen Li, Chen Wang, Pranay Reddy, Seungchan Kim, Sebastian Scherer	PDF	N/A
TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance	Hongtao Wen, Jianhang Yan, Wanli Peng, Yi Sun	PDF	N/A
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning	Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo	PDF	N/A
TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors	Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki	PDF	N/A
Learning Efficient Multi-agent Cooperative Visual Exploration	Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu	PDF	N/A
Zero-Shot Category-Level Object Pose Estimation	Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner	PDF	N/A
Sim-to-Real 6D Object Pose Estimation via Iterative Self-Training for Robotic Bin Picking	Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-Hui Liu, Pieter Abbeel, Qi Dou	PDF	N/A
Active Audio-Visual Separation of Dynamic Sound Sources	Sagnik Majumder, Kristen Grauman	PDF	N/A
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos	Yuzhe Qin, Yueh-Hua Wu, Shaowei Liu, Hanwen Jiang, Ruihan Yang, Yang Fu, Xiaolong Wang	PDF	N/A
Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous Environments	Jacob Krantz, Stefan Lee	PDF	N/A
Style-Agnostic Reinforcement Learning	Juyong Lee, Seokjun Ahn, Jaesik Park	PDF	N/A
Self-Supervised Interactive Object Segmentation through a Singulation-and-Grasping Approach	Houjian Yu, Changhyun Choi	PDF	N/A
Learning from Unlabeled 3D Environments for Vision-and-Language Navigation	Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev	PDF	N/A
"BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking"	Dorian F. Henning, Tristan Laidlow, Stefan Leutenegger	PDF	N/A
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion	Fabian Duffhauss, Ngo Anh Vien, Hanna Ziesche, Gerhard Neumann	PDF	N/A
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning	Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu	PDF	N/A
Video Dialog As Conversation about Objects Living in Space-Time	Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran	PDF	N/A
Quaternion Equivariant Capsule Networks for 3D Point Clouds	Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari	PDF	N/A
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares	Yizhak Ben-Shabat, Stephen Gould	PDF	N/A
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search	Zhichao Lu, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti	PDF	N/A
Describing Textures using Natural Language	Chenyun Wu, Mikayla Timm, Subhransu Maji	PDF	N/A
Empowering Relational Network by Self-Attention Augmented Conditional Random Fields for Group Activity Recognition	Rizard Renanda Adhi Pramono, Yie Tarng Chen, Wen Hsien Fang	PDF	N/A
AiR: Attention with Reasoning Capability	Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao	PDF	N/A
Self6D: Self-Supervised Monocular 6D Object Pose Estimation	Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab , Federico Tombari	PDF	N/A
Invertible Image Rescaling	Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu	PDF	N/A
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation	Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille	PDF	N/A
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation	Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa	PDF	N/A
Crowdsampling the Plenoptic Function	Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely	PDF	N/A
VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment	Hanyue Tu, Chunyu Wang, Wenjun Zeng	PDF	N/A
End-to-End Object Detection with Transformers	Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko	PDF	N/A
DeepSFM: Structure From Motion Via Deep Bundle Adjustment	Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, Xiangyang Xue	PDF	N/A
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry	Yifan Xu, Tianqi Fan, Yi Yuan, Gurprit Singh	PDF	N/A
Segment as Points for Efficient Online Multi-Object Tracking and Segmentation	Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang	PDF	N/A
Conditional Convolutions for Instance Segmentation	Zhi Tian, Chunhua Shen, Hao Chen	PDF	N/A
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution	Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew Willis	PDF	N/A
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset	Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie , Bharath Hariharan, Hartwig Adam, Serge Belongie	PDF	N/A
Privacy Preserving Structure-from-Motion	Marcel Geppert, Viktor Larsson, Pablo Speciale, Johannes L. Schönberger, Marc Pollefeys	PDF	N/A
Rewriting a Deep Generative Model	David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba	PDF	N/A
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets	Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan	PDF	N/A
Long-term Human Motion Prediction with Scene Context	Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik	PDF	N/A
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis	Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng	PDF	N/A
ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes	Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas Guibas	PDF	N/A
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images	Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, James Tompkin	PDF	N/A
Learning and Aggregating Deep Local Descriptors for Instance-level Recognition	Giorgos Tolias, Tomas Jenicek, Ondřej Chum	PDF	N/A
A Consistently Fast and Globally Optimal Solution to the Perspective-n-Point Problem	George Terzakis, Manolis Lourakis	PDF	N/A
Learn to Recover Visible Color for Video Surveillance in a Day	Guangming Wu, Yinqiang Zheng, Zhiling Guo, Zekun Cai, Xiaodan Shi, Xin Ding, Yifei Huang, Yimin Guo, Ryosuke Shibasaki	PDF	N/A
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images	Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han	PDF	N/A
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation	Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin	PDF	N/A
BorderDet: Border Feature for Dense Object Detection	Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun	PDF	N/A
Regularization with Latent Space Virtual Adversarial Training	Genki Osada, Budrul Ahsan, Revoti Prasad Bora, Takashi Nishide	PDF	N/A
Du²Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels	Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Häne, Sean Fanello, Rahul Garg	PDF	N/A
Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning	Jaekyeom Kim, Hyoungseok Kim, Gunhee Kim	PDF	N/A
Targeted Attack for Deep Hashing based Retrieval	Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang	PDF	N/A
Gradient Centralization: A New Optimization Technique for Deep Neural Networks	Hongwei Yong, Jianqiang Huang, Xiansheng Hua, Lei Zhang	PDF	N/A
Content-Aware Unsupervised Deep Homography Estimation	Jirong Zhang, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Nianjin Ye, Jue Wang, Ji Zhou, Jian Sun	PDF	N/A
Multi-View Optimization of Local Feature Geometry	Mihai Dusmanu, Johannes L. Schönberger, Marc Pollefeys	PDF	N/A
The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization	Jingjing Shen, Thomas J. Cashman, Qi Ye, Tim Hutton, Toby Sharp, Federica Bogo, Andrew Fitzgibbon, Jamie Shotton	PDF	N/A
Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video	Miao Liu, Siyu Tang, Yin Li, James M. Rehg	PDF	N/A
Learning Stereo from Single Images	Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow, Michael Firman	PDF	N/A
Prototype Rectification for Few-Shot Learning	Jinlu Liu, Liang Song, Yongqiang Qin	PDF	N/A
Learning Feature Descriptors using Camera Pose Supervision	Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely	PDF	N/A
Semantic Flow for Fast and Accurate Scene Parsing	Xiangtai Li, Ansheng You, Zhen Zhu, Houlong Zhao, Maoke Yang, Kuiyuan Yang, Shaohua Tan, Yunhai Tong	PDF	N/A
Appearance Consensus Driven Self-Supervised Human Mesh Recovery	Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu	PDF	N/A
Diffraction Line Imaging	Mark Sheinin, Dinesh N. Reddy, Matthew O’Toole, Srinivasa G. Narasimhan	PDF	N/A
Aligning and Projecting Images to Class-conditional Generative Networks	Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann	PDF	N/A
Suppress and Balance: A Simple Gated Network for Salient Object Detection	Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang	PDF	N/A
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning	Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer	PDF	N/A
Post-Training Piecewise Linear Quantization for Deep Neural Networks	Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph H. Hassoun	PDF	N/A
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification	Yang Zou, Xiaodong Yang, Zhiding Yu, B.V.K. Vijaya Kumar, Jan Kautz	PDF	N/A
In-Home Daily-Life Captioning Using Radio Signals	Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi	PDF	N/A
Self-Challenging Improves Cross-Domain Generalization	Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang	PDF	N/A
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering	Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu	PDF	N/A
Multitask Learning Strengthens Adversarial Robustness	Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song , Junfeng Yang, Carl Vondrick	PDF	N/A
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search	Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi	PDF	N/A
Improving Deep Video Compression by Resolution-adaptive Flow Coding	Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu	PDF	N/A
Motion Capture from Internet Videos	Junting Dong, Qing Shuai, Yuanqing Zhang, Xian Liu, Xiaowei Zhou, Hujun Bao	PDF	N/A
Appearance-Preserving 3D Convolution for Video-based Person Re-identification	Xinqian Gu, Hong Chang, Bingpeng Ma, Hongkai Zhang, Xilin Chen	PDF	N/A
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization	Dylan Campbell, Liu Liu, Stephen Gould	PDF	N/A
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation	Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo	PDF	N/A
Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures	Mantang Guo, Junhui Hou, Jing Jin, Jie Chen, Lap-Pui Chau	PDF	N/A
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling	Xuesong Niu, Zitong Yu, Hu Han, Xiaobai Li, Shiguang Shan, Guoying Zhao	PDF	N/A
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction	Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll	PDF	N/A
Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network	Tsai-Shien Chen, Chih-Ting Liu, Chih-Wei Wu, Shao-Yi Chien	PDF	N/A
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation	Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool	PDF	N/A
CoReNet: Coherent 3D Scene Reconstruction from a Single RGB Image	Stefan Popov, Pablo Bauszat, Vittorio Ferrari	PDF	N/A
Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs	Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao	PDF	N/A
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow	Zachary Teed, Jia Deng	PDF	N/A
Domain-invariant Stereo Matching Networks	Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin Wah, Philip Torr	PDF	N/A
DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling	Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee	PDF	N/A
Content Adaptive and Error Propagation Aware Deep Video Compression	Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu , Zhiyong Gao	PDF	N/A
Towards Streaming Perception	Mengtian Li, Yu-Xiong Wang, Deva Ramanan	PDF	N/A
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation	Rakshith Shetty, Mario Fritz, Bernt Schiele	PDF	N/A
Adversarial Generative Grammars for Human Activity Prediction	AJ Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo	PDF	N/A
GDumb: A Simple Approach that Questions Our Progress in Continual Learning	Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania	PDF	N/A
Learning Lane Graph Representations for Motion Forecasting	Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun	PDF	N/A
What Matters in Unsupervised Optical Flow	Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova	PDF	N/A
Synthesis and Completion of Facades from Satellite Imagery	Xiaowei Zhang, Christopher May, Daniel Aliaga	PDF	N/A
Mapillary Planet-Scale Depth Dataset	Manuel López Antequera, Pau Gargallo, Markus Hofinger, Samuel Rota Bulò, Yubin Kuang, Peter Kontschieder	PDF	N/A
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction	Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun	PDF	N/A
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters	Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang	PDF	N/A
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning	Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang	PDF	N/A
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation	Marie-Julie Rakotosaona, Maks Ovsjanikov	PDF	N/A
Cross-Domain Cascaded Deep Translation	Oren Katzir, Dani Lischinski, Daniel Cohen-Or	PDF	N/A
“Look Ma, no landmarks!” – Unsupervised, Model-based Dense Face Alignment	Tatsuro Koizumi, William A. P. Smith	PDF	N/A
Online Invariance Selection for Local Feature Descriptors	Rémi Pautrat, Viktor Larsson, Martin R. Oswald, Marc Pollefeys	PDF	N/A
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations	Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang	PDF	N/A
TextCaps: a Dataset for Image Captioning with Reading Comprehension	Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh	PDF	N/A
It is not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction	Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon	PDF	N/A
Learning What to Learn for Video Object Segmentation	Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte	PDF	N/A
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing	Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, Gerard Pons-Moll	PDF	N/A
LIMP: Learning Latent Shape Representations with Metric Preservation Priors	Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà	PDF	N/A
Unsupervised Sketch to Photo Synthesis	Runtao Liu, Qian Yu, Stella X. Yu	PDF	N/A
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions	Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf , Oliver Bringmann, Matthias Bethge, Wieland Brendel	PDF	N/A
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification	Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari	PDF	N/A
Hierarchical Face Aging through Disentangled Latent Characteristics	Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun	PDF	N/A
Hybrid Models for Open Set Recognition	Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo	PDF	N/A
TopoGAN: A Topology-Aware Generative Adversarial Network	Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen	PDF	N/A
Learning to Localize Actions from Moments	Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei	PDF	N/A
ForkGAN: Seeing into the Rainy Night	Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi	PDF	N/A
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning	Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang	PDF	N/A
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval	Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie	PDF	N/A
TSIT: A Simple and Versatile Framework for Image-to-Image Translation	Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy	PDF	N/A
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices	Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng	PDF	N/A
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation	Can Wang, Jiefeng Li, Wentao Liu, Chen Qian, Cewu Lu	PDF	N/A
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve	Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai	PDF	N/A
A Unified Framework of Surrogate Loss by Refactoring and Interpolation	Lanlan Liu, Mingzhe Wang, Jia Deng	PDF	N/A
Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images	Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi	PDF	N/A
Memory-augmented Dense Predictive Coding for Video Representation Learning	Tengda Han, Weidi Xie, Andrew Zisserman	PDF	N/A
PointMixup: Augmentation for Point Clouds	Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek	PDF	N/A
Identity-Guided Human Semantic Parsing for Person Re-Identification	Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang	PDF	N/A
Learning Gradient Fields for Shape Generation	Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, Bharath Hariharan	PDF	N/A
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder	Kuniaki Saito, Kate Saenko, Ming-Yu Liu	PDF	N/A
Corner Proposal Network for Anchor-free, Two-stage Object Detection	Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian	PDF	N/A
PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click	Henghui Ding, Scott Cohen, Brian Price, Xudong Jiang	PDF	N/A
Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing	Yapeng Tian, Dingzeyu Li, Chenliang Xu	PDF	N/A
Learning Delicate Local Representations for Multi-Person Pose Estimation	Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, Erjin Zhou, Jian Sun	PDF	N/A
Learning to Plan with Uncertain Topological Maps	Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf	PDF	N/A
Neural Design Network: Graphic Layout Generation with Constraints	Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B Le, Haifeng Gong, Ming-Hsuan Yang, Weilong Yang	PDF	N/A
Learning Open Set Network with Discriminative Reciprocal Points	Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian	PDF	N/A
Convolutional Occupancy Networks	Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, Andreas Geiger	PDF	N/A
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry	He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory Chirikjian	PDF	N/A
TIDE: A General Toolbox for Identifying Object Detection Errors	Daniel Bolya, Sean Foley, James Hays, Judy Hoffman	PDF	N/A
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding	Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas Guibas, Or Litany	PDF	N/A
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation	Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang	PDF	N/A
Circumventing Outliers of AutoAugment with Knowledge Distillation	Longhui Wei, An Xiao, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Qi Tian	PDF	N/A
S2DNet: Learning Image Features for Accurate Sparse-to-Dense Matching	Hugo Germain, Guillaume Bourmaud, Vincent Lepetit	PDF	N/A
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving	Peixuan Li, Huaici Zhao, Pengfei Liu, Feidao Cao	PDF	N/A
Video Object Segmentation with Episodic Graph Memory Networks	Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool	PDF	N/A
Rethinking Bottleneck Structure for Efficient Mobile Network Design	Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan	PDF	N/A
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks	Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik	PDF	N/A
Towards Part-aware Monocular 3D Human Pose Estimation: An Architecture Search Approach	Zerui Chen, Yan Huang, Hongyuan Yu, Bin Xue, Ke Han, Yiru Guo, Liang Wang	PDF	N/A
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets	Angelina Wang, Arvind Narayanan, Olga Russakovsky	PDF	N/A
Contrastive Learning for Weakly Supervised Phrase Grounding	Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem	PDF	N/A
Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis	Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot	PDF	N/A
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors	Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein	PDF	N/A
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images	Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo	PDF	N/A
Semi-Siamese Training for Shallow Face Learning	Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, Tao Mei	PDF	N/A
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework	Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang	PDF	N/A
Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition	Yukun Su, Guosheng Lin, Jinhui Zhu, Qingyao Wu	PDF	N/A
Binarized Neural Network for Single Image Super Resolution	Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao	PDF	N/A
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation	Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan Yuille, Liang-Chieh Chen	PDF	N/A
Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation	Zhipeng Fan, Jun Liu, Yao Wang	PDF	N/A
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking	Jinlong Peng, Changan Wang, Fangbin Wan, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yanwei Fu	PDF	N/A
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets	Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin	PDF	N/A
Hamiltonian Dynamics for Real-World Shape Interpolation	Marvin Eisenberger, Daniel Cremers	PDF	N/A
Learning to Scale Multilingual Representations for Vision-Language Tasks	Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer	PDF	N/A
Multi-modal Transformer for Video Retrieval	Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid	PDF	N/A
Feature Representation Matters: End-to-End Learning for Reference-based Image Super-resolution	Yanchun Xie, Jimin Xiao, Mingjie Sun, Chao Yao, Kaizhu Huang	PDF	N/A
RobustFusion: Human Volumetric Capture with Data-driven Visual Cues using a RGBD Camera	Zhuo Su, Lan Xu, Zerong Zheng, Tao Yu, Yebin Liu, Lu Fang	PDF	N/A
Surface Normal Estimation of Tilted Images via Spatial Rectifier	Tien Do, Khiem Vuong, Stergios I. Roumeliotis, Hyun Soo Park	PDF	N/A
Multimodal Shape Completion via Conditional Generative Adversarial Networks	Rundi Wu, Xuelin Chen, Yixin Zhuang, Baoquan Chen	PDF	N/A
Generative Sparse Detection Networks for 3D Single-shot Object Detection	JunYoung Gwak, Christopher Choy, Silvio Savarese	PDF	N/A
Grounded Situation Recognition	Sarah Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi	PDF	N/A
Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos	Shaoxiang Chen, Wenhao Jiang, Wei Liu, Yu-Gang Jiang	PDF	N/A
Unpaired Learning of Deep Image Denoising	Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo	PDF	N/A
Self-supervising Fine-grained Region Similarities for Large-scale Image Localization	Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, Hongsheng Li	PDF	N/A
Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video	Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Viswanathan Swaminathan, Henry Fuchs	PDF	N/A
Side-Aware Boundary Localization for More Precise Object Detection	Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin	PDF	N/A
SF-Net: Single-Frame Supervision for Temporal Action Localization	Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou	PDF	N/A
Negative Margin Matters: Understanding Margin in Few-shot Classification	Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu	PDF	N/A
Particularity beyond Commonality: Unpaired Identity Transfer with Multiple References	Ruizheng Wu, Xin Tao, Yingcong Chen, Xiaoyong Shen, Jiaya Jia	PDF	N/A
Tracking Objects as Points	Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl	PDF	N/A
CPGAN: Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis	Jiadong Liang, Wenjie Pei, Feng Lu	PDF	N/A
Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning	Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi	PDF	N/A
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning	Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool	PDF	N/A
Learning to Factorize and Relight a City	Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely	PDF	N/A
Region Graph Embedding Network for Zero-Shot Learning	Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao	PDF	N/A
GRAB: A Dataset of Whole-Body Human Grasping of Objects	Omid Taheri, Nima Ghorbani, Michael J. Black, Dimitrios Tzionas	PDF	N/A
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects	Edgar Tretschk, Ayush Tewari, Michael Zollhöfer, Vladislav Golyanik, Christian Theobalt	PDF	N/A
RANSAC-Flow: Generic Two-stage Image Alignment	Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry	PDF	N/A
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds	Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool	PDF	N/A
Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images	Kiru Park, Timothy Patten, Markus Vincze	PDF	N/A
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking	Jianfeng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai	PDF	N/A
Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application	Xuchong Qiu, Yang Xiao, Chaohui Wang, Renaud Marlet	PDF	N/A
MovieNet: A Holistic Dataset for Movie Understanding	Qingqiu Huang, Yu Xiong, Anyi Rao, Jiaze Wang, Dahua Lin	PDF	N/A
Short-Term and Long-Term Context Aggregation Network for Video Inpainting	Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri	PDF	N/A
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization	Juan Du, Rui Wang, Daniel Cremers	PDF	N/A
Face Super-Resolution Guided by 3D Facial Priors	Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern Menze, Wei Liu	PDF	N/A
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation	Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang	PDF	N/A
Are Labels Necessary for Neural Architecture Search?	Chenxi Liu, Piotr Dollár, Kaiming He, Ross Girshick, Alan Yuille, Saining Xie	PDF	N/A
BLSM: A Bone-Level Skinned Model of the Human Mesh	Haoyang Wang, Riza Alp Güler, Iasonas Kokkinos, George Papandreou, Stefanos Zafeiriou	PDF	N/A
Associative Alignment for Few-shot Image Classification	Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné	PDF	N/A
Cyclic Functional Mapping: Self-supervised Correspondence between Non-isometric Deformable Shapes	Dvir Ginzburg, Dan Raviv	PDF	N/A
View-Invariant Probabilistic Embedding for Human Pose	Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu	PDF	N/A
Contact and Human Dynamics from Monocular Video	Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, Jimei Yang	PDF	N/A
PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation	Wenxuan Wu, Zhi Yuan Wang, Zhuwen Li, Wei Liu, Li Fuxin	PDF	N/A
Points2Surf Learning Implicit Surfaces from Point Clouds	Philipp Erler, Paul Guerrero, Stefan Ohrhallinger, Niloy J. Mitra, Michael Wimmer	PDF	N/A
Few-Shot Scene-Adaptive Anomaly Detection	Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang	PDF	N/A
Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting	Bindita Chaudhuri, Noranart Vesdapunt, Linda Shapiro, Baoyuan Wang	PDF	N/A
Entropy Minimisation Framework for Event-based Vision Model Estimation	Urbano Miguel Nunes, Yiannis Demiris	PDF	N/A
Reconstructing NBA Players	Luyang Zhu, Konstantinos Rematas, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman	PDF	N/A
PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments	Zhiming Chen, Kean Chen, Weiyao Lin, John See, Hui Yu, Yan Ke, Cong Yang	PDF	N/A
TENet: Triple Excitation Network for Video Salient Object Detection	Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He	PDF	N/A
Deep Feedback Inverse Problem Solver	Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun	PDF	N/A
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification	Liuyu Xiang, Guiguang Ding, Jungong Han	PDF	N/A
Hallucinating Visual Instances in Total Absentia	Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao	PDF	N/A
Weakly-supervised 3D Shape Completion in the Wild	Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun	PDF	N/A
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image	Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang	PDF	N/A
CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss	Lijun Wang, Jianming Zhang, Yifan Wang, Huchuan Lu, Xiang Ruan	PDF	N/A
Collaborative Video Object Segmentation by Foreground-Background Integration	Zongxin Yang, Yunchao Wei, Yi Yang	PDF	N/A
Adaptive Margin Diversity Regularizer for handling Data Imbalance in Zero-Shot SBIR	Titir Dutta, Anurag Singh, Soma Biswas	PDF	N/A
ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation	Xucong Zhang, Seonwook Park, Thabo Beeler, Derek Bradley, Siyu Tang , Otmar Hilliges	PDF	N/A
Calibration-free Structure-from-Motion with Calibrated Radial Trifocal Tensors	Viktor Larsson, Nicolas Zobernig, Kasim Taskin, Marc Pollefeys	PDF	N/A
Occupancy Anticipation for Efficient Exploration and Navigation	Santhosh K. Ramakrishnan, Ziad Al-Halah, Kristen Grauman	PDF	N/A
Unified Image and Video Saliency Modeling	Richard Droste, Jianbo Jiao, J. Alison Noble	PDF	N/A
TAO: A Large-Scale Benchmark for Tracking Any Object	Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan	PDF	N/A
A Generalization of Otsu’s Method and Minimum Error Thresholding	Jonathan T. Barron	PDF	N/A
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks	Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing	PDF	N/A
Big Transfer (BiT): General Visual Representation Learning	Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby	PDF	N/A
VisualCOMET: Reasoning about the Dynamic Context of a Still Image	Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi	PDF	N/A
Few-shot Action Recognition with Permutation-invariant Attention	Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz	PDF	N/A
Character Grounding and Re-Identification in Story of Videos and Text Descriptions	Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung, Gunhee Kim	PDF	N/A
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling	Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li	PDF	N/A
Learning Visual Context by Comparison	Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo	PDF	N/A
Large Scale Holistic Video Understanding	Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool	PDF	N/A
Indirect Local Attacks for Context-aware Semantic Segmentation Networks	Krishna Kanth Nakka, Mathieu Salzmann	PDF	N/A
Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings	Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov	PDF	N/A
Connecting Vision and Language with Localized Narratives	Jordi Pont-Tuset, Jasper Uijlings, Soravit Changpinyo, Radu Soricut, Vittorio Ferrari	PDF	N/A
Adversarial T-shirt! Evading Person Detectors in A Physical World	Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin	PDF	N/A
Bounding-box Channels for Visual Relationship Detection	Sho Inayoshi, Keita Otani, Antonio Tejero-de-Pablos, Tatsuya Harada	PDF	N/A
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion	Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomas Pajdla	PDF	N/A
SRFlow: Learning the Super-Resolution Space with Normalizing Flow	Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte	PDF	N/A
DeepGMR: Learning Latent Gaussian Mixture Models for Registration	Wentao Yuan, Benjamin Eckart, Kihwan Kim, Varun Jampani, Dieter Fox , Jan Kautz	PDF	N/A
Active Perception using Light Curtains for Autonomous Driving	Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held	PDF	N/A
Invertible Neural BRDF for Object Inverse Rendering	Zhe Chen, Shohei Nobuhara, Ko Nishino	PDF	N/A
Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network	Wenfeng Luo, Meng Yang	PDF	N/A
Practical Deep Raw Image Denoising on Mobile Devices	Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang	PDF	N/A
SoundSpaces: Audio-Visual Navigation in 3D Environments	Changan Chen, Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, and Kristen Grauman	PDF	N/A
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization	Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Junsong Yuan, Gang Hua	PDF	N/A
Erasing Appearance Preservation in Optimization-based Smoothing	Lvmin Zhang, Chengze Li, Yi JI, Chunping Liu, Tien-tsin Wong	PDF	N/A
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler	Tsu-Jui Fu, Xin Eric Wang, Matthew F. Peterson,Scott T. Grafton, Miguel P. Eckstein, William Yang Wang	PDF	N/A
Guided Deep Decoder: Unsupervised Image Pair Fusion	Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, Wei He	PDF	N/A
Filter Style Transfer between Photos	Jonghwa Yim, Jisung Yoo, Won-joon Do, Beomsu Kim, Jihwan Choe	PDF	N/A
JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image	Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang	PDF	N/A
Dynamic Group Convolution for Accelerating Convolutional Neural Networks	Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu	PDF	N/A
RD-GAN: Few/Zero-Shot Chinese Character Style Transfer via Radical Decomposition and Rendering	Yaoxiong Huang, Mengchao He, Lianwen Jin, Yongpan Wang	PDF	N/A
Object-Contextual Representations for Semantic Segmentation	Yuhui Yuan, Xilin Chen, Jingdong Wang	PDF	N/A
Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring	Zhihang Zhong, Ye Gao, Yinqiang Zheng, Bo Zheng	PDF	N/A
Joint Semantic Instance Segmentation on Graphs with the Semantic Mutex Watershed	Steffen Wolf, Yuyan Li, Constantin Pape, Alberto Bailoni, Anna Kreshuk, Fred A. Hamprecht	PDF	N/A
Photon-Efficient 3D Imaging with A Non-Local Neural Network	Jiayong Peng, Zhiwei Xiong, Xin Huang, Zheng-Ping Li, Dong Liu, Feihu Xu	PDF	N/A
GeLaTO: Generative Latent Textured Objects	Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B Goldman	PDF	N/A
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web	Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra	PDF	N/A
Directional Temporal Modeling for Action Recognition	Xinyu Li, Bing Shuai, Joseph Tighe	PDF	N/A
Shonan Rotation Averaging: Global Optimality by Surfing SO(p)(n)	Frank Dellaert, David M. Rosen, Jing Wu, Robert Mahony, Luca Carlone	PDF	N/A
Semantic Curiosity for Active Visual Learning	Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta	PDF	N/A
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training	Dongwon Park, Dong Un Kang, Jisoo Kim, Se Young Chun	PDF	N/A
ProgressFace: Scale-Aware Progressive Learning for Face Detection	Jiashu Zhu, Dong Li, Tiantian Han, Lu Tian, Yi Shan	PDF	N/A
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference	Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu	PDF	N/A
CoTeRe-Net: Discovering Collaborative Ternary Relations in Videos	Zhensheng Shi, Cheng Guan, Liangjie Cao, Qianqian Li, Ju Liang, Zhaorui Gu, Haiyong Zheng, Bing Zheng	PDF	N/A
Modeling the Effects of Windshield Refraction for Camera Calibration	Frank Verbiest, Marc Proesmans, Luc Van Gool	PDF	N/A
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search	Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, Prathosh AP	PDF	N/A
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models	Eunhyeok Park, Sungjoo Yoo	PDF	N/A
Visual Relation Grounding in Videos	Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua	PDF	N/A
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows	Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu	PDF	N/A
Controlling Style and Semantics in Weakly-Supervised Image Generation	Dario Pavllo, Aurelien Lucchi, Thomas Hofmann	PDF	N/A
Jointly learning visual motion and confidence from local patches in event cameras	Daniel R. Kepple, Daewon Lee, Colin Prepsius, Volkan Isler, Il Memming Park, Daniel D. Lee	PDF	N/A
SODA: Story Oriented Dense Video Captioning Evaluation Framework	Soichiro Fujita, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata	PDF	N/A
Sketch-Guided Object Localization in Natural Images	Aditay Tripathi, Rajath R. Dani, Anand Mishra and Anirban Chakraborty	PDF	N/A
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses	Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed	PDF	N/A
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models	Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu	PDF	N/A
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement	William Peebles, John Peebles, Jun-Yan Zhu, Alexei Efros, Antonio Torralba	PDF	N/A
STAR: Sparse Trained Articulated Human Body Regressor	Ahmed A. A. Osman, Timo Bolkart, Michael J. Black	PDF	N/A
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer	Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu	PDF	N/A
Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning	Sihui Luo, Wenwen Pan, Xinchao Wang, Dazhou Wang, Haihong Tang, Mingli Song	PDF	N/A
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians	Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun	PDF	N/A
Learning 3D Part Assembly from a Single Image	Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas	PDF	N/A
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions	Kaichun Mo, He Wang, Xinchen Yan, Leonidas Guibas	PDF	N/A
Highly Efficient Salient Object Detection with 100K Parameters	Shang-Hua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan	PDF	N/A
HardGAN: A Haze-Aware Representation Distillation GAN for Single Image Dehazing	Qili Deng, Ziling Huang, Chung-Chi Tsai, Chia-Wen Lin	PDF	N/A
Lifespan Age Transformation Synthesis	Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman	PDF	N/A
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation	Xingchao Peng, Yichen Li, Kate Saenko	PDF	N/A
Simulating Content Consistent Vehicle Datasets with Attribute Descent	Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon	PDF	N/A
Multiview Detection with Feature Perspective Transformation	Yunzhong Hou, Liang Zheng, Stephen Gould	PDF	N/A
Learning Object Relation Graph and Tentative Policy for Visual Navigation	Heming Du, Xin Yu, Liang Zheng	PDF	N/A
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition	Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng	PDF	N/A
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning	Liad Pollak Zuckerman, Eyal Naor, George Pisha, Shai Bagon, Michal Irani	PDF	N/A
Inducing Optimal Attribute Representations for Conditional GANs	Binod Bhattarai, Tae-Kyun Kim	PDF	N/A
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition	Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogerio Feris	PDF	N/A
Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation	Vladimir V. Kniaz, Vladimir A. Knyaz, Fabio Remondino, Artem Bordodymov, Petr Moshkantsev	PDF	N/A
Consistency Guided Scene Flow Estimation	Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu	PDF	N/A
Autoregressive Unsupervised Image Segmentation	Yassine Ouali, Céline Hudelot, Myriam Tami	PDF	N/A
Controllable Image Synthesis via SegVAE	Yen-Chi Cheng, Hsin-Ying Lee, Min Sun, Ming-Hsuan Yang	PDF	N/A
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search	Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang , Jun Wang, Olga Fink	PDF	N/A
Efficient Non-Line-of-Sight Imaging from Transient Sinograms	Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O’Toole	PDF	N/A
Texture Hallucination for Large-Factor Painting Super-Resolution	Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu	PDF	N/A
Learning Progressive Joint Propagation for Human Motion Prediction	Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat Thalmann	PDF	N/A
Image Stitching and Rectification for Hand-Held Cameras	Bingbing Zhuang, Quoc-Huy Tran	PDF	N/A
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds	Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Měch	PDF	N/A
The Group Loss for Deep Metric Learning	Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé	PDF	N/A
Learning Object Depth from Camera Motion and Video Object Segmentation	Brent A. Griffin, Jason J. Corso	PDF	N/A
OnlineAugment: Online Data Augmentation with Less Domain Knowledge	Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Dimitris Metaxas	PDF	N/A
Learning Pairwise Inter-Plane Relations for Piecewise Planar Reconstruction	Yiming Qian, Yasutaka Furukawa	PDF	N/A
Intra-class Feature Variation Distillation for Semantic Segmentation	Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu	PDF	N/A
Temporal Distinct Representation Learning for Action Recognition	Junwu Weng, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xudong Jiang, Junsong Yuan	PDF	N/A
Representative Graph Neural Network	Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang	PDF	N/A
Deformation-Aware 3D Model Embedding and Retrieval	Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas Guibas	PDF	N/A
Atlas: End-to-End 3D Scene Reconstruction from Posed Images	Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich	PDF	N/A
Multiple Class Novelty Detection Under Data Distribution Shift	Poojan Oza, Hien V. Nguyen, Vishal M. Patel	PDF	N/A
Colorization of Depth Map via Disentanglement	Chung-Sheng Lai, Zunzhi You, Ching-Chun Huang, Yi-Hsuan Tsai, Wei-Chen Chiu	PDF	N/A
Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes	Johanna Wald, Torsten Sattler, Stuart Golodetz, Tommaso Cavallari, Federico Tombari	PDF	N/A
GeoGraph: Graph-based multi-view object detection with geometric cues end-to-end	Ahmed Samy Nassar, Stefano D’Aronco, Sébastien Lefèvre, Jan D. Wegner	PDF	N/A
Localizing the Common Action Among a Few Videos	Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek	PDF	N/A
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification	Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky	PDF	N/A
Traffic Accident Benchmark for Causality Recognition	Tackgeun You, Bohyung Han	PDF	N/A
Face Anti-Spoofing with Human Material Perception	Zitong Yu, Xiaobai Li, Xuesong Niu, Jingang Shi, Guoying Zhao	PDF	N/A
How Can I See My Future? FvTraj: Using First-person View for Pedestrian Trajectory Prediction	Huikun Bi, Ruisi Zhang, Tianlu Mao, Zhigang Deng, Zhaoqi Wang	PDF	N/A
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification	Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian	PDF	N/A
NASA Neural Articulated Shape Approximation	Boyang Deng, JP Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, Andrea Tagliasacchi	PDF	N/A
Towards Unique and Informative Captioning of Images	Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky	PDF	N/A
When Does Self-supervision Improve Few-shot Learning?	Jong-Chyi Su, Subhransu Maji, Bharath Hariharan	PDF	N/A
Two-branch Recurrent Network for Isolating Deepfakes in Videos	Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas, Shenoy Pratik Gurudatt, Wael AbdAlmageed	PDF	N/A
Incremental Few-Shot Meta-Learning via Indirect Discriminant Alignment	Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto	PDF	N/A
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models	Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le	PDF	N/A
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation	Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo	PDF	N/A
Global Distance-distributions Separation for Unsupervised Person Re-identification	Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen	PDF	N/A
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image	Gyeongsik Moon, Kyoung Mu Lee	PDF	N/A
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose	Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee	PDF	N/A
ALRe: Outlier Detection for Guided Refinement	Mingzhu Zhu, Zhang Gao, Junzhi Yu, Bingwei He, Jiantao Liu	PDF	N/A
Weakly-Supervised Crowd Counting Learns from Sorting rather than Locations	Yifan Yang, Guorong Li, Zhe Wu, Li Su, Qingming Huang, Nicu Sebe	PDF	N/A
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition	Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao	PDF	N/A
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection	Carlo Biffi, Steven McDonagh, Philip Torr, Aleš Leonardis, Sarah Parisot	PDF	N/A
Curriculum DeepSDF	Yueqi Duan, Haidong Zhu, He Wang, Li Yi Ram Nevatia, Leonidas J. Guibas	PDF	N/A
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance	Minghua Liu, Xiaoshuai Zhang, Hao Su	PDF	N/A
Improved Adversarial Training via Learned Optimizer	Yuanhao Xiong, Cho-Jui Hsieh	PDF	N/A
Component Divide-and-Conquer for Real-World Image Super-Resolution	Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin	PDF	N/A
Enabling Deep Residual Networks for Weakly Supervised Object Detection	Yunhang Shen, Rongrong Ji, Yan Wang, Zhiwei Chen, Feng Zheng, Feiyue Huang, Yunsheng Wu	PDF	N/A
Deep near-light photometric stereo for spatially varying reflectances	Hiroaki Santo, Michael Waechter, Yasuyuki Matsushita	PDF	N/A
Learning Visual Representations with Caption Annotations	Mert Bulent Sariyildiz, Julien Perez, Diane Larlus	PDF	N/A
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier	Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho, Nuno Vasconcelos	PDF	N/A
Regression of Instance Boundary by Aggregated CNN and GCN	Yanda Meng, Wei Meng, Dongxu Gao, Yitian Zhao, Xiaoyun Yang, Xiaowei Huang, Yalin Zheng	PDF	N/A
Social Adaptive Module for Weakly-supervised Group Activity Recognition	Rui Yan, Lingxi Xie, Jinhui Tang, Xiangbo Shu, Qi Tian	PDF	N/A
RGB-D Salient Object Detection with Cross-Modality Modulation and Selection	Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, Chen Change Loy	PDF	N/A
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval	Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang	PDF	N/A
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection	Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang, Shuai Yi, Wanli Ouyang	PDF	N/A
Faster Person Re-Identification	Guan’an Wang, Shaogang Gong, Jian Cheng, Zengguang Hou	PDF	N/A
Quantization Guided JPEG Artifact Correction	Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava	PDF	N/A
3PointTM: Faster Measurement of High-Dimensional Transmission Matrices	Yujun Chen, Manoj Kumar Sharma, Ashutosh Sabharwal, Ashok Veeraraghavan, Aswin C. Sankaranarayanan	PDF	N/A
Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer	Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, Brian Kulis , Jiawen Chen	PDF	N/A
Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction	Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li	PDF	N/A
World-Consistent Video-to-Video Synthesis	Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu	PDF	N/A
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation	Qi Fan, Lei Ke, Wenjie Pei, Chi-Keung Tang, Yu-Wing Tai	PDF	N/A
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild	Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh	PDF	N/A
Event-based Asynchronous Sparse Convolutional Networks	Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza	PDF	N/A
AtlantaNet: Inferring the 3D Indoor Layout from a Single 360(∘) Image beyond the Manhattan World Assumption	Giovanni Pintore, Marco Agus, Enrico Gobbetti	PDF	N/A
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification	Xiaofang Wang, Xuehan Xiong, Maxim Neumann, AJ Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua	PDF	N/A
REMIND Your Neural Network to Prevent Catastrophic Forgetting	Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan	PDF	N/A
Image Classification in the Dark using Quanta Image Sensors	Abhiram Gnanasambandam, Stanley H. Chan	PDF	N/A
n-Reference Transfer Learning for Saliency Prediction	Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao	PDF	N/A
Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection	Shuhan Chen, Yun Fu	PDF	N/A
Bottom-Up Temporal Action Localization with Mutual Regularization	Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, Qi Tian	PDF	N/A
On Modulating the Gradient for Meta-Learning	Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi	PDF	N/A
Domain-Specific Mappings for Generative Adversarial Style Transfer	Hsin-Yu Chang, Zhixiang Wang, Yung-Yu Chuang	PDF	N/A
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning	Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen	PDF	N/A
DHP: Differentiable Meta Pruning via HyperNetworks	Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte	PDF	N/A
Deep Transferring Quantization	Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu, Mingkui Tan	PDF	N/A
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification	Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou	PDF	N/A
Temporal Coherence or Temporal Motion: Which is More Critical for Video-based Person Re-identification?	Guangyi Chen, Yongming Rao, Jiwen Lu, Jie Zhou	PDF	N/A
Arbitrary-Oriented Object Detection with Circular Smooth Label	Xue Yang, Junchi Yan	PDF	N/A
Learning Event-Driven Video Deblurring and Interpolation	Songnan Lin, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen, Jimmy Ren	PDF	N/A
Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Inference	Nelson Nauata, Yasutaka Furukawa	PDF	N/A
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation	Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang	PDF	N/A
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation	Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, Xiaowei Xu	PDF	N/A
Prototype Mixture Models for Few-shot Semantic Segmentation	Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye	PDF	N/A
Webly Supervised Image Classification with Self-Contained Confidence	Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng , Ping Luo, Wayne Zhang	PDF	N/A
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization	Haibao Yu, Qi Han, Jianbo Li, Jianping Shi, Guangliang Cheng, Bin Fan	PDF	N/A
Monocular 3D Object Detection via Feature Domain Adaptation	Xiaoqing Ye, Liang Du, Yifeng Shi, Yingying Li, Xiao Tan, Jianfeng Feng, Errui Ding, Shilei Wen	PDF	N/A
Talking-head Generation with Rhythmic Head Motion	Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu	PDF	N/A
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation	Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You	PDF	N/A
VPN: Learning Video-Pose Embedding for Activities of Daily Living	Srijan Das, Saurav Sharma, Rui Dai, François Brémond, Monique Thonnat	PDF	N/A
Soft Anchor-Point Object Detection	Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides	PDF	N/A
Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid	Jun Gao, Zian Wang, Jinchen Xuan, Sanja Fidler	PDF	N/A
Soft Expert Reward Learning for Vision-and-Language Navigation	Hu Wang, Qi Wu, Chunhua Shen	PDF	N/A
Part-aware Prototype Network for Few-shot Semantic Segmentation	Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He	PDF	N/A
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization	Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng	PDF	N/A
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos	Mahsa Ehsanpour, Alireza Abedin, Fatemeh Saleh, Javen Shi, Ian Reid , Hamid Rezatofighi	PDF	N/A
Whole-Body Human Pose Estimation in the Wild	Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo	PDF	N/A
Relative Pose Estimation of Calibrated Cameras with Known SE(3) Invariants	Bo Li, Evgeniy Martyushev, Gim Hee Lee	PDF	N/A
Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing	Runkai Zheng, Yinqi Zhang, Daolang Huang, Qingliang Chen	PDF	N/A
Deep Hough Transform for Semantic Line Detection	Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng	PDF	N/A
Structured Landmark Detection via Topology-Adapting Deep Graph Learning	Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao	PDF	N/A
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning	Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre	PDF	N/A
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization	Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman	PDF	N/A
Contrastive Learning for Unpaired Image-to-Image Translation	Taesung Park Alexei A. Efros Richard Zhang Jun-Yan Zhu	PDF	N/A
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction	Ye Yuan, Kris Kitani	PDF	N/A
GRNet: Gridding Residual Network for Dense Point Cloud Completion	Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun	PDF	N/A
Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition	Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang	PDF	N/A
Blind Face Restoration via Deep Multi-scale Component Dictionaries	Xiaoming Li, Chaofeng Chen, Shangchen Zhou, Xianhui Lin, Wangmeng Zuo, Lei Zhang	PDF	N/A
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods	Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim	PDF	N/A
Inequality-Constrained and Robust 3D Face Model Fitting	Evangelos Sariyanidi, Casey J. Zampella, Robert T. Schultz, Birkan Tunc	PDF	N/A
Gabor Layers Enhance Network Robustness	Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali Thabet, Bernard Ghanem, Pablo Arbeláez	PDF	N/A
Conditional Image Repainting via Semantic Bridge and Piecewise Value Function	Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi	PDF	N/A
Learnable Cost Volume Using the Cayley Representation	Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang	PDF	N/A
HALO: Hardware-Aware Learning to Optimize	Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin	PDF	N/A
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling	Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou	PDF	N/A
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition	Yonghyun Kim, Wonpyo Park, Jongju Shin	PDF	N/A
Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision	Xinzhe Han, Shuhui Wang, Chi Su, Weigang Zhang, Qingming Huang, Qi Tian	PDF	N/A
Domain Adaptive Semantic Segmentation Using Weak Labels	Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker	PDF	N/A
Knowledge Distillation Meets Self-Supervision	Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy	PDF	N/A
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions	Ignacio Rocco, Relja Arandjelović, Josef Sivic	PDF	N/A
Reconstructing the Noise Variance Manifold for Image Denoising	Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory Slabaugh, Stefanos Zafeiriou	PDF	N/A
Occlusion-Aware Depth Estimation with Adaptive Normal Constraints	Xiaoxiao Long, Lingjie Liu, Christian Theobalt, Wenping Wang	PDF	N/A
VisualEchoes: Spatial Image Representation Learning through Echolocation	Ruohan Gao, Changan Chen, Ziad Al-Halah, Carl Schissler, Kristen Grauman	PDF	N/A
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval	Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman	PDF	N/A
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation	Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens	PDF	N/A
Spatially Aware Multimodal Transformers for TextVQA	Yash Kant, Dhruv Batra, Peter Anderson, Alexander Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal	PDF	N/A
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector	Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang	PDF	N/A
URIE: Universal Image Enhancement for Visual Recognition in the Wild	Taeyoung Son Juwon Kang Namyup Kim Sunghyun Cho Suha Kwak	PDF	N/A
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation	Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai	PDF	N/A
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning	Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu	PDF	N/A
Unpaired Image-to-Image Translation using Adversarial Consistency Loss	Yihao Zhao, Ruihai Wu, Hao Dong	PDF	N/A
Discriminability Distillation in Group Representation Learning	Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu	PDF	N/A
Monocular Expressive Body Regression through Body-Driven Attention	Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas , Michael J. Black	PDF	N/A
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation	Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng	PDF	N/A
Linguistic Structure Guided Context Modeling for Referring Image Segmentation	Tianrui Hui, Si Liu, Shaofei Huang, Guanbin Li, Sansi Yu, Faxi Zhang, Jizhong Han	PDF	N/A
Federated Visual Classification with Real-World Data Distribution	Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown	PDF	N/A
Robust Re-Identification by Multiple Views Knowledge Distillation	Angelo Porrello, Luca Bergamini, Simone Calderara	PDF	N/A
Defocus Deblurring Using Dual-Pixel Data	Abdullah Abuolaim, Michael S. Brown	PDF	N/A
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos	Tianshu Yu, Yikang Li, Baoxin Li	PDF	N/A
Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping	Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra , Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha	PDF	N/A
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning	Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen	PDF	N/A
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks	Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu	PDF	N/A
Learning to Learn with Variational Information Bottleneck for Domain Generalization	Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao	PDF	N/A
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis	Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun	PDF	N/A
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks	Gil Shomron, Ron Banner, Moran Shkolnik, Uri Weiser	PDF	N/A
Layered Neighborhood Expansion for Incremental Multiple Graph Matching	Zixuan Chen, Zhihui Xie, Junchi Yan Yinqiang Zheng, Xiaokang Yang	PDF	N/A
SCAN: Learning to Classify Images without Labels	Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool	PDF	N/A
Graph convolutional networks for learning with few clean and many noisy labels	Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondřej Chum, Cordelia Schmid	PDF	N/A
Object-and-Action Aware Model for Visual Language Navigation	Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu	PDF	N/A
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation	Kenkun Liu, Rongqi Ding, Zhiming Zou, Le Wang, Wei Tang	PDF	N/A
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution	Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia	PDF	N/A
Efficient Semantic Video Segmentation with Per-frame Inference	Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang	PDF	N/A
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers	Christoph Kamann, Carsten Rother	PDF	N/A
Deep Spiking Neural Network: Energy Efficiency Through Time based Coding	Bing Han, Kaushik Roy	PDF	N/A
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling	Jun Wang, Shiyi Lan, Mingfei Gao, Larry S. Davis	PDF	N/A
Utilizing Patch-level Category Activation Patterns for Multiple Class Novelty Detection	Poojan Oza, Vishal M. Patel	PDF	N/A
People as Scene Probes	Yifan Wang, Brian L. Curless, Steven M. Seitz	PDF	N/A
Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes	Lei Yang, Wenxi Liu, Zhiming Cui, Nenglun Chen, Wenping Wang	PDF	N/A
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions	Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, Rui Wang, Subhransu Maji	PDF	N/A
TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video	Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo	PDF	N/A
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost	Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan . Arık, Larry S. Davis, Tomas Pfister	PDF	N/A
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation	Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin	PDF	N/A
Modeling 3D Shapes by Reinforcement Learning	Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner	PDF	N/A
LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform	Lida Li, Kun Wang, Shuai Li, Xiangchu Feng, Lei Zhang	PDF	N/A
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision	Damien Teney, Ehsan Abbasnedjad, Anton van den Hengel	PDF	N/A
CN: Channel Normalization For Point Cloud Recognition	Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia	PDF	N/A
Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model	Ning Zhang, Junchi Yan	PDF	N/A
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning	Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha	PDF	N/A
Scene Text Image Super-resolution in the wild	Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai	PDF	N/A
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling	Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim	PDF	N/A
Learning Disentangled Representations with Latent Variation Predictability	Xinqi Zhu, Chang Xu, Dacheng Tao	PDF	N/A
Deep Space-Time Video Upsampling Networks	Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim	PDF	N/A
Large-Scale Few-Shot Learning via Multi-Modal Knowledge Discovery	Shuo Wang, Jun Yue, Jianzhuang Liu, Qi Tian, Meng Wang	PDF	N/A
Fast Video Object Segmentation using the Global Context Module	Yu Li, Zhuoran Shen, Ying Shan	PDF	N/A
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos	Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid	PDF	N/A
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification	Nikita Dvornik, Cordelia Schmid, Julien Mairal	PDF	N/A
MessyTable: Instance Association in Multiple Camera Views	Zhongang Cai, Junzhe Zhang, Daxuan Ren, Cunjun Yu, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Chen Change Loy	PDF	N/A
A Unified Framework for Shot Type Classification Based on Subject Centric Lens	Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, Dahua Lin	PDF	N/A
BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues	Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman	PDF	N/A
HTML: A Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization	Neng Qian, Jiayi Wang, Franziska Mueller, Florian Bernard, Vladislav Golyanik, Christian Theobalt	PDF	N/A
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions	Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang	PDF	N/A
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions	Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li	PDF	N/A
Towards Real-Time Multi-Object Tracking	Zhongdao Wang, Liang Zheng, Yixuan Liu, Yali Li, Shengjin Wang	PDF	N/A
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation	Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng	PDF	N/A
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss	Yang Li, Shichao Kan, Zhihai He	PDF	N/A
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos	Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe	PDF	N/A
Hierarchical Style-based Networks for Motion Synthesis	Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell	PDF	N/A
Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop	Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon, Roberto Cipolla	PDF	N/A
Learning to Count in the Crowd from Limited Labeled Data	Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Sam Babu, R. Venkatesh Babu, Vishal M. Patel	PDF	N/A
SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection	Hongyuan Du, Linjun Li, Bo Liu, Nuno Vasconcelos	PDF	N/A
Explainable Face Recognition	Jonathan R. Williford, Brandon B. May, Jeffrey Byrne	PDF	N/A
From Shadow Segmentation to Shadow Removal	Hieu Le, Dimitris Samaras	PDF	N/A
Diverse and Admissible Trajectory Prediction through Multimodal Context Understanding	Seong Hyeon Park, Gyubok Lee, Jimin Seo, Manoj Bhat, Minseok Kang, Jonathan Francis, Ashwin Jadhav, Paul Pu Liang, Louis-Philippe Morency	PDF	N/A
CONFIG: Controllable Neural Face Image Generation	Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrušaitis, Matthew Johnson, Jamie Shotton	PDF	N/A
Single View Metrology in the Wild	Rui Zhu, Xingyi Yang, Yannick Hold-Geoffroy, Federico Perazzi, Jonathan Eisenmann, Kalyan Sunkavalli, Manmohan Chandraker	PDF	N/A
Procedure Planning in Instructional Videos	Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles	PDF	N/A
Funnel Activation for Visual Recognition	Ningning Ma, Xiangyu Zhang, Jian Sun	PDF	N/A
GIQA: Generated Image Quality Assessment	Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen	PDF	N/A
Adversarial Continual Learning	Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach	PDF	N/A
Adapting Object Detectors with Conditional Domain Normalization	Peng Su, Kun Wang, Xingyu Zeng, Shixiang Tang, Dapeng Chen, Di Qiu , Xiaogang Wang	PDF	N/A
HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction	Tianjiao Li, Jun Liu, Wei Zhang, Lingyu Duan	PDF	N/A
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction	Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand , Manmohan Chandraker	PDF	N/A
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting	Shengcai Liao, Ling Shao	PDF	N/A
Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing	Tongyao Pang, Yuhui Quan, Hui Ji	PDF	N/A
Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement	Jian Wang, Xiang Long, Yuan Gao, Errui Ding, Shilei Wen	PDF	N/A
Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction	Minchul Shin	PDF	N/A
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification	Fang Zhao, Shengcai Liao, Guo-Sen Xie, Jian Zhao, Kaihao Zhang, Ling Shao	PDF	N/A
DPDist: Comparing Point Clouds Using Deep Point Cloud Distance	Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum	PDF	N/A
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation	Xiaokang Chen, Kwan-Yee Lin, Jingbo Wang, Wayne Wu, Chen Qian, Hongsheng Li, Gang Zeng	PDF	N/A
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference	Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han	PDF	N/A
Neural Re-Rendering of Humans from a Single Image	Kripasindhu Sarkar, Dushyant Mehta, Weipeng Xu, Vladislav Golyanik, Christian Theobalt	PDF	N/A
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation	Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia	PDF	N/A
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration	Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. Ren, Chao Dong	PDF	N/A
Why do These Match? Explaining the Behavior of Image Similarity Models	Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David Forsyth	PDF	N/A
CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing	Xuanhong Chen, Bingbing Ni, Naiyuan Liu, Ziang Liu, Yiliu Jiang, Loc Truong, Qi Tian	PDF	N/A
Progressive Transformers for End-to-End Sign Language Production	Ben Saunders, Necati Cihan Camgoz, Richard Bowden	PDF	N/A
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting	Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, Xiang Bai	PDF	N/A
Making Affine Correspondences Work in Camera Geometry Computation	Daniel Barath, Michal Polic, Wolfgang Förstner, Torsten Sattler, Tomas Pajdla, Zuzana Kukelova	PDF	N/A
Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces	Jiankang Deng, Jia Guo, Tongliang Liu, Mingming Gong, Stefanos Zafeiriou	PDF	N/A
Foley Music: Learning to Generate Music from Videos	Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba	PDF	N/A
Contrastive Multiview Coding	Yonglong Tian, Dilip Krishnan, Phillip Isola	PDF	N/A
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses	Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan Yuille	PDF	N/A
Generative Low-bitwidth Data Free Quantization	Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan	PDF	N/A
Local Correlation Consistency for Knowledge Distillation	Xiaojie Li, Jianlong Wu, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian	PDF	N/A
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild	Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa	PDF	N/A
Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation	Hang Zhou, Xudong Xu, Dahua Lin, Xiaogang Wang, Ziwei Liu	PDF	N/A
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations	Yuanhan Zhang, ZhenFei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu	PDF	N/A
Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues	Yuyang Qian, Guojun Yin, Lu Sheng, Zixuan Chen, Jing Shao	PDF	N/A
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation	Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise	PDF	N/A
SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation	John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak	PDF	N/A
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization	Zijie Zhuang, Longhui Wei, Lingxi Xie, Tianyu Zhang, Hengheng Zhang , Haozhe Wu, Haizhou Ai, Qi Tian	PDF	N/A
AMLN: Adversarial-based Mutual Learning Network for Online Knowledge Distillation	Xiaobing Zhang, Shijian Lu, Haigang Gong, Zhipeng Luo, Ming Liu	PDF	N/A
Online Multi-modal Person Search in Videos	Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin	PDF	N/A
Single Image Super-Resolution via a Holistic Attention Network	Ben Niu, Weilei Wen, Wenqi Ren, Xiangde Zhang, Lianping Yang, Shuzhen Wang, Kaihao Zhang, Xiaochun Cao, Haifeng Shen	PDF	N/A
Can You Read Me Now? Content Aware Rectification using Angle Supervision	Amir Markovitz, Inbal Lavi, Or Perel, Shai Mazor, Roee Litman	PDF	N/A
Momentum Batch Normalization for Deep Learning with Small Batch Size	Hongwei Yong, Jianqiang Huang, Deyu Meng, Xiansheng Hua, Lei Zhang	PDF	N/A
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds	Abdullah Hamdi, Sara Rojas, Ali Thabet, Bernard Ghanem	PDF	N/A
Edge-aware Graph Representation Learning and Reasoning for Face Parsing	Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei	PDF	N/A
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network	Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao	PDF	N/A
G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences	Behnaz Rezaei, Amirreza Farnoosh, Sarah Ostadabbas	PDF	N/A
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives	Zaiwei Zhang, Bo Sun, Haitao Yang, Qixing Huang	PDF	N/A
Expressive Telepresence via Modular Codec Avatars	Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh	PDF	N/A
Cascade Graph Neural Networks for RGB-D Salient Object Detection	Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu	PDF	N/A
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret	Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh	PDF	N/A
Generating Videos of Zero-Shot Compositions of Actions and Objects	Megha Nawhal, Mengyao Zhai, Andreas Lehrmann, Leonid Sigal, Greg Mori	PDF	N/A
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language	Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang	PDF	N/A
Renovating Parsing R-CNN for Accurate Multiple Human Parsing	Lu Yang, Qing Song, Zhihui Wang, Mengjie Hu, Chun Liu, Xueshi Xin, Wenhe Jia, Songcen Xu	PDF	N/A
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning	Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa	PDF	N/A
Gradient-Induced Co-Saliency Detection	Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng	PDF	N/A
Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks	Wending Yan, Robby T. Tan, Dengxin Dai	PDF	N/A
SegFix: Model-Agnostic Boundary Refinement for Segmentation	Yuhui Yuan, Jingyi Xie, Xilin Chen, Jingdong Wang	PDF	N/A
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction	Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, Shuai Yi	PDF	N/A
Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars	Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor Lempitsky	PDF	N/A
Neural Geometric Parser for Single Image Camera Calibration	Jinwoo Lee, Minhyuk Sung, Hyunjoon Lee, Junho Kim	PDF	N/A
Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision	Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, Wangmeng Zuo	PDF	N/A
Learning Architectures for Binary Networks	Dahyun Kim, Kunal Pratap Singh, Jonghyun Choi	PDF	N/A
Semantic View Synthesis	Hsin-Ping Huang, Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang	PDF	N/A
An Analysis of Sketched IRLS for Accelerated Sparse Residual Regression	Daichi Iwata, Michael Waechter, Wen-Yan Lin, Yasuyuki Matsushita	PDF	N/A
Relative Pose from Deep Learned Depth and a Single Affine Correspondence	Ivan Eichhardt, Daniel Barath	PDF	N/A
Video Super-Resolution with Recurrent Structure-Detail Network	Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, Qi Tian	PDF	N/A
Shape Adaptor: A Learnable Resizing Module	Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns	PDF	N/A
Shuffle and Attend: Video Domain Adaptation	Jinwoo Choi, Gaurav Sharma, Samuel Schulter, Jia-Bin Huang	PDF	N/A
DRG: Dual Relation Graph for Human-Object Interaction Detection	Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang	PDF	N/A
Flow-edge Guided Video Completion	Chen Gao, Ayush Saraf, Jia-Bin Huang, Johannes Kopf	PDF	N/A
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery	Ali Hatamizadeh, Debleena Sengupta, Demetri Terzopoulos	PDF	N/A
Towards End-to-end Video-based Eye-Tracking	Seonwook Park, Emre Aksan, Xucong Zhang, Otmar Hilliges	PDF	N/A
Generating Handwriting via Decoupled Style Descriptors	Atsunobu Kotani, Stefanie Tellex, James Tompkin	PDF	N/A
LEED: Label-Free Expression Editing via Disentanglement	Rongliang Wu, Shijian Lu	PDF	N/A
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards	Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang	PDF	N/A
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder	Gouthaman KV, Anurag Mittal	PDF	N/A
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation	Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu	PDF	N/A
Class-Incremental Domain Adaptation	Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu	PDF	N/A
Anti-Bandit Neural Architecture Search for Model Defense	Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David Doermann	PDF	N/A
Wavelet-Based Dual-Branch Network for Image Demoiréing	Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Aleš Leonardis, Wengang Zhou, Qi Tian	PDF	N/A
Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping	Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory Slabaugh	PDF	N/A
Non-Local Spatial Propagation Network for Depth Completion	Jinsun Park, Kyungdon Joo, Zhe Hu, Chi-Kuei Liu, In So Kweon	PDF	N/A
DanbooRegion: An Illustration Region Dataset	Lvmin Zhang, Yi JI, Chunping Liu	PDF	N/A
Event Enhanced High-Quality Image Recovery	Bishan Wang, Jingwei He, Lei Yu, Gui-Song Xia, Wen Yang	PDF	N/A
PackDet: Packed Long-Head Object Detector	Kun Ding, Guojin He, Huxiang Gu, Zisha Zhong, Shiming Xiang, Chunhong Pan	PDF	N/A
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS	Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang	PDF	N/A
Learning Semantic Neural Tree for Human Parsing	Ruyi Ji, Dawei Du, Libo Zhang, Longyin Wen, Yanjun Wu, Chen Zhao, Feiyue Huang, Siwei Lyu	PDF	N/A
Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation	Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen	PDF	N/A
Burst Denoising via Temporally Shifted Wavelet Transforms	Xuejian Rong, Denis Demandolx, Kevin Matzen, Priyam Chatterjee, Yingli Tian	PDF	N/A
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans	Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan Yuille, Le Lu, ChienHung Liao, Adam P. Harrison	PDF	N/A
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction	Junwei Liang, Lu Jiang, Alexander Hauptmann	PDF	N/A
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation	Bowen Chen, Huan Ling, Xiaohui Zeng, Jun Gao, Ziyue Xu, Sanja Fidler	PDF	N/A
Rethinking Pseudo-LiDAR Representation	Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang	PDF	N/A
Deep Multi Depth Panoramas for View Synthesis	Kai-En Lin, Zexiang Xu, Ben Mildenhall, Pratul P. Srinivasan, Yannick Hold-Geoffroy, Stephen DiVerdi, Qi Sun, Kalyan Sunkavalli, Ravi Ramamoorthi	PDF	N/A
MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection	Fa-Ting Hong, Xuanteng Huang, Wei-Hong Li, Wei-Shi Zheng	PDF	N/A
ContactPose: A Dataset of Grasps with Object Contact and Hand Pose	Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg, Charles C. Kemp, James Hays	PDF	N/A
API-Net: Robust Generative Classifier via a Single Discriminator	Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian	PDF	N/A
Bias-based Universal Adversarial Patch Attack for Automatic Check-out	Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu	PDF	N/A
Imbalanced Continual Learning with Partitioning Reservoir Sampling	Chris Dongjoo Kim, Jinseo Jeong, Gunhee Kim	PDF	N/A
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning	Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W.H. Lau	PDF	N/A
Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework	Haixin Wang, Tianhao Zhang, Muzhi Yu, Jinan Sun, Wei Ye, Chen Wang , Shikun Zhang	PDF	N/A
Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight	Ming Sun, Haoxuan Dou, Junjie Yan	PDF	N/A
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation	Congcong Li, Dawei Du, Libo Zhang, Longyin Wen, Tiejian Luo, Yanjun Wu, Pengfei Zhu	PDF	N/A
GSIR: Generalizable 3D Shape Interpretation and Reconstruction	Jianren Wang, Zhaoyuan Fang	PDF	N/A
Weakly Supervised 3D Object Detection from Lidar Point Cloud	Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool , Dengxin Dai	PDF	N/A
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation	Inkyu Shin, Sanghyun Woo, Fei Pan, In So Kweon	PDF	N/A
Adaptive Offline Quintuplet Loss for Image-Text Matching	Tianlang Chen, Jiajun Deng, Jiebo Luo	PDF	N/A
Learning Object Placement by Inpainting for Compositional Data Augmentation	Lingzhi Zhang, Tarmily Wen, Jie Min, Jiancong Wang, David Han, Jianbo Shi	PDF	N/A
Deep Vectorization of Technical Drawings	Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev	PDF	N/A
CAD-Deform: Deformable Fitting of CAD Models to 3D Scans	Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev , Matthias Niessner, Denis Zorin, Evgeny Burnaev	PDF	N/A
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices	Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang	PDF	N/A
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points	Yuexin Ma, Xinge Zhu, Xinjing Cheng, Ruigang Yang, Jiming Liu, Dinesh Manocha	PDF	N/A
Multi-Agent Embodied Question Answering in Interactive Environments	Sinan Tan, Weilai Xiang, Huaping Liu, Di Guo, Fuchun Sun	PDF	N/A
Conditional Sequential Modulation for Efficient Global Image Retouching	Jingwen He, Yihao Liu, Yu Qiao, Chao Dong	PDF	N/A
Segmenting Transparent Objects in the Wild	Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo	PDF	N/A
Length-Controllable Image Captioning	Chaorui Deng, Ning Ding, Mingkui Tan, Qi Wu	PDF	N/A
Few-Shot Semantic Segmentation with Democratic Attention Networks	Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen	PDF	N/A
Defocus Blur Detection via Depth Distillation	Xiaodong Cun, Chi-Man Pun	PDF	N/A
Motion Guided 3D Pose Estimation from Videos	Jingbo Wang, Sijie Yan, Yuanjun Xiong, Dahua Lin	PDF	N/A
Reflection Separation via Multi-bounce Polarization State Tracing	Rui Li, Simeng Qiu, Guangming Zang, Wolfgang Heidrich	PDF	N/A
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation	Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao	PDF	N/A
SemanticAdv: Generating Adversarial Examples via Attribute-conditioned Image Editing	Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li	PDF	N/A
Learning with Noisy Class Labels for Instance Segmentation	Longrong Yang, Fanman Meng, Hongliang Li, Qingbo Wu, Qishang Cheng	PDF	N/A
Deep Image Clustering with Category-Style Representation	Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng	PDF	N/A
Self-supervised Motion Representation via Scattering Local Motion Cues	Yuan Tian, Zhaohui Che, Wenbo Bao, Guangtao Zhai, Zhiyong Gao	PDF	N/A
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets	Tian Chen, Shijie An, Yuan Zhang, Chongyang Ma , Huayan Wang, Xiaoyan Guo, Wen Zheng	PDF	N/A
BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation	Junheum Park, Keunsoo Ko, Chul Lee, Chang-Su Kim	PDF	N/A
Hard negative examples are hard, but useful	Hong Xuan, Abby Stylianou, Xiaotong Liu, Robert Pless	PDF	N/A
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions	Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng	PDF	N/A
Video Object Detection via Object-level Temporal Aggregation	Chun-Han Yao, Chen Fang, Xiaohui Shen, Yangyue Wan, Ming-Hsuan Yang	PDF	N/A
Object Detection with a Unified Label Space from Multiple Datasets	Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu	PDF	N/A
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D	Jonah Philion, Sanja Fidler	PDF	N/A
Comprehensive Image Captioning via Scene Graph Decomposition	Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li	PDF	N/A
Symbiotic Adversarial Learning for Attribute-based Person Search	Yu-Tong Cao, Jingya Wang, Dacheng Tao	PDF	N/A
Amplifying Key Cues for Human-Object-Interaction Detection	Yang Liu, Qingchao Chen, Andrew Zisserman	PDF	N/A
Rethinking Few-shot Image Classification: A Good Embedding is All You Need?	Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola	PDF	N/A
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization	Kyle Min, Jason J. Corso	PDF	N/A
Action Localization through Continual Predictive Learning	Sathyanarayanan Aakur, Sudeep Sarkar	PDF	N/A
Generative View-Correlation Adaptation for Semi-Supervised Multi-View Learning	Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu	PDF	N/A
READ: Reciprocal Attention Discriminator for Image-to-Video Re-Identification	Minho Shim, Hsuan-I Ho, Jinhyung Kim, Dongyoon Wee	PDF	N/A
3D Human Shape Reconstruction from a Polarization Image	Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong , Li Cheng	PDF	N/A
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification	Pirazh Khorramshahi, Neehar Peri, Jun-cheng Chen, Rama Chellappa	PDF	N/A
Improving One-stage Visual Grounding by Recursive Sub-query Construction	Zhengyuan Yang, Tianlang Chen, Liwei Wang, Jiebo Luo	PDF	N/A
Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video	Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song	PDF	N/A
Example-Guided Image Synthesis using Masked Spatial-Channel Attention and Self-Supervision	Haitian Zheng, Haofu Liao, Lele Chen, Wei Xiong, Tianlang Chen, Jiebo Luo	PDF	N/A
Content-Consistent Matching for Domain Adaptive Semantic Segmentation	Guangrui Li, Guoliang Kang, Wu Liu, Yunchao Wei, Yi Yang	PDF	N/A
AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting	Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, ZhiBo Yang, Tong Lu, Chunhua Shen, Ping Luo	PDF	N/A
History Repeats Itself: Human Motion Prediction via Motion Attention	Wei Mao, Miaomiao Liu, Mathieu Salzmann	PDF	N/A
Unsupervised Video Object Segmentation with Joint Hotspot Tracking	Lu Zhang, Jianming Zhang, Zhe Lin, Radomír Měch, Huchuan Lu, You He	PDF	N/A
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach	Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, Stephen Lin	PDF	N/A
CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature	Jeong gi Kwak, David K. Han, Hanseok Ko	PDF	N/A
MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection	Xin Lu, Quanquan Li, Buyu Li, Junjie Yan	PDF	N/A
Latent Topic-aware Multi-Label Classification	Jianghong Ma, Yang Liu	PDF	N/A
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning	Xiangxi Shi, Xu Yang, Jiuxiang Gu, Shafiq Joty, Jianfei Cai	PDF	N/A
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation	Taekyung Kim, Changick Kim	PDF	N/A
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation	Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava	PDF	N/A
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy	Ronghao Guo, Chen Lin, Chuming Li, Keyu Tian, Ming Sun, Lu Sheng, Junjie Yan	PDF	N/A
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation	Haoran Wang, Tong Shen, Wei Zhang, Ling-Yu Duan, Tao Mei	PDF	N/A
Boundary-preserving Mask R-CNN	Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu	PDF	N/A
Self-supervised Single-view 3D Reconstruction via Semantic Consistency	Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz	PDF	N/A
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation	Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh	PDF	N/A
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling	Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker	PDF	N/A
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation	Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng	PDF	N/A
What is Learned in Deep Uncalibrated Photometric Stereo?	Guanying Chen, Michael Waechter, Boxin Shi, Kwan-Yee K. Wong, Yasuyuki Matsushita	PDF	N/A
Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions	Vishwanath A. Sindagi, Poojan Oza, Rajeev Yasarla, Vishal M. Patel	PDF	N/A
Adversarial Ranking Attack and Defense	Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua	PDF	N/A
ReDro: Efficiently Learning Large-sized SPD Visual Representation	Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou	PDF	N/A
Graph-Based Social Relation Reasoning	Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou	PDF	N/A
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection	Tengteng Huang, Zhe Liu, Xiwu Chen, Xiang Bai	PDF	N/A
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency	Jiaxiang Shang, Tianwei Shen, Shiwei li, Lei Zhou, Mingmin Zhen, Tian Fang, Long Quan	PDF	N/A
Asynchronous Interaction Aggregation for Action Detection	Jiajun Tang, Jin Xia, Xinzhi Mu, Bo Pang, Cewu Lu	PDF	N/A
Shape and Viewpoint without Keypoints	Shubham Goel, Angjoo Kanazawa, Jitendra Malik	PDF	N/A
Learning Attentive and Hierarchical Representations for 3D Shape Recognition	Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao	PDF	N/A
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search	Yibo Hu, Xiang Wu, Ran He	PDF	N/A
Associative3D: Volumetric Reconstruction from Sparse Views	Shengyi Qian, Linyi Jin, David F. Fouhey	PDF	N/A
PlugNet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-Resolution Unit	Yongqiang Mou, Lei Tan, Hui Yang, Jingying Chen, Leyuan Liu, Rui Yan, Yaohong Huang	PDF	N/A
Memory Selection Network for Video Propagation	Ruizheng Wu, Huaijia Lin, Xiaojuan Qi, Jiaya Jia	PDF	N/A
Disentangled Non-local Neural Networks	Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu	PDF	N/A
URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark	Seonguk Seo, Joon-Young Lee, Bohyung Han	PDF	N/A
Generalizing Person Re-Identification by Camera-Aware Invariance Learning and Cross-Domain Mixup	Chuanchen Luo, Chunfeng Song, Zhaoxiang Zhang	PDF	N/A
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks	Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei	PDF	N/A
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training	Hongkai Zhang, Hong Chang, Bingpeng Ma, Naiyan Wang, Xilin Chen	PDF	N/A
Boosting Decision-based Black-box Adversarial Attacks with Random Sign Flip	Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu	PDF	N/A
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation	Anbang Yao, Dawei Sun	PDF	N/A
Matching Guided Distillation	Kaiyu Yue, Jiangfan Deng, Feng Zhou	PDF	N/A
Clustering Driven Deep Autoencoder for Video Anomaly Detection	Yunpeng Chang, Zhigang Tu, Wei Xie, Junsong Yuan	PDF	N/A
Learning to Compose Hypercolumns for Visual Correspondence	Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho	PDF	N/A
Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction	Lei Zhou, Zixin Luo, Mingmin Zhen, Tianwei Shen, Shiwei Li, Zhuofei Huang, Tian Fang, Long Quan	PDF	N/A
Object-based Illumination Estimation with Rendering-aware Neural Networks	Xin Wei, Guojun Chen, Yue Dong, Stephen Lin, Xin Tong	PDF	N/A
Progressive Point Cloud Deconvolution Generation Network	Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang	PDF	N/A
SSCGAN: Facial Attribute Editing via Style Skip Connections	Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji	PDF	N/A
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology	Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa , Ryoma Bise	PDF	N/A
Learn to Propagate Reliably on Noisy Affinity Graphs	Lei Yang, Qingqiu Huang, Huaiyi Huang, Linning Xu, Dahua Lin	PDF	N/A
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search	Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li	PDF	N/A
TANet: Towards Fully Automatic Tooth Arrangement	Guodong Wei, Zhiming Cui, Yumeng Liu, Nenglun Chen, Runnan Chen, Guiqing Li, Wenping Wang	PDF	N/A
UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection	Bumsoo Kim, Taeho Choi, Jaewoo Kang, Hyunwoo J. Kim	PDF	N/A
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision	Lei Ke, Shichao Li, Yanan Sun, Yu-Wing Tai, Chi-Keung Tang	PDF	N/A
Resolution Switchable Networks for Runtime Efficient Image Recognition	Yikai Wang, Fuchun Sun, Duo Li, Anbang Yao	PDF	N/A
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation	Jianan Zhen, Qi Fang, Jiaming Sun, Wentao Liu, Wei Jiang, Hujun Bao , Xiaowei Zhou	PDF	N/A
Learning to Detect Open Classes for Universal Domain Adaptation	Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang	PDF	N/A
Visual Compositional Learning for Human-Object Interaction Detection	Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao	PDF	N/A
Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches	Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo	PDF	N/A
Rethinking Class Activation Mapping for Weakly Supervised Object Localization	Wonho Bae, Junhyug Noh, Gunhee Kim	PDF	N/A
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features	Anton Osokin, Denis Sumin, Vasily Lomakin	PDF	N/A
Interpretable Neural Network Decoupling	Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao	PDF	N/A
Omni-sourced Webly-supervised Learning for Video Recognition	Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin	PDF	N/A
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending	Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li	PDF	N/A
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation	Jiaxing Huang, Shijian Lu, Dayan Guan, Xiaobing Zhang	PDF	N/A
Estimating People Flows to Better Count Them in Crowded Scenes	Weizhe Liu, Mathieu Salzmann, Pascal Fua	PDF	N/A
Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition	Han Fang, Weihong Deng, Yaoyao Zhong, Jiani Hu	PDF	N/A
Learning Feature Embeddings for Discriminant Model based Tracking	Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu	PDF	N/A
WeightNet: Revisiting the Design Space of Weight Networks	Ningning Ma, Xiangyu Zhang, Jiawei Huang, Jian Sun	PDF	N/A
Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift	Ryuhei Takahashi, Atsushi Hashimoto, Motoharu Sonogashira, Masaaki Iiyama	PDF	N/A
Learning Where to Focus for Efficient Video Object Detection	Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Peng Gao, Qian Zhang, Shiming Xiang, Chunhong Pan	PDF	N/A
Learning Object Permanence from Video	Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik	PDF	N/A
Adaptive Text Recognition through Visual Matching	Chuhan Zhang, Ankush Gupta, Andrew Zisserman	PDF	N/A
Actions as Moving Points	Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu	PDF	N/A
Learning to Exploit Multiple Vision Modalities by Using Grafted Networks	Yuhuang Hu, Tobi Delbruck, Shih-Chii Liu	PDF	N/A
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild	Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit	PDF	N/A
3D Fluid Flow Reconstruction Using Compact Light Field PIV	Zhong Li, Yu Ji, Jingyi Yu, Jinwei Ye	PDF	N/A
Contextual Diversity for Active Learning	Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora	PDF	N/A
Temporal Aggregate Representations for Long-Range Video Understanding	Fadime Sener, Dipika Singhania, Angela Yao	PDF	N/A
Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition	Zhe Niu, Brian Mak	PDF	N/A
General 3D Room Layout from a Single View by Render-and-Compare	Sinisa Stekovic, Shreyas Hampali, Mahdi Rad, Sayan Deb Sarkar, Friedrich Fraundorfer, Vincent Lepetit	PDF	N/A
Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints	Vikramjit Sidhu, Edgar Tretschk, Vladislav Golyanik, Antonio Agudo, Christian Theobalt	PDF	N/A
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability	Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry McNamara, Aude Oliva	PDF	N/A
Yet Another Intermediate-Level Attack	Qizhang Li, Yiwen Guo, Hao Chen	PDF	N/A
Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction	Chao Li, Xiaohu Guo	PDF	N/A
Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images	Qunliang Xing, Mai Xu, Tianyi Li, Zhenyu Guan	PDF	N/A
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations	Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Carsten Stoll, Christian Theobalt	PDF	N/A
How does Lipschitz Regularization Influence GAN Training?	Yipeng Qin, Niloy Mitra, Peter Wonka	PDF	N/A
Infrastructure-based Multi-Camera Calibration using Radial Projections	Yukai Lin, Viktor Larsson, Marcel Geppert, Zuzana Kukelova, Marc Pollefeys, Torsten Sattler	PDF	N/A
MotionSqueeze: Neural Motion Feature Learning for Video Understanding	Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho	PDF	N/A
Polarized Optical-Flow Gyroscope	Masada Tzabari, Yoav Y. Schechner	PDF	N/A
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation	Da Li, Timothy Hospedales	PDF	N/A
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning	Yaoyao Liu, Bernt Schiele, Qianru Sun	PDF	N/A
On the Effectiveness of Image Rotation for Open Set Domain Adaptation	Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi	PDF	N/A
Combining Task Predictors via Enhancing Joint Predictability	Kwang In Kim, Christian Richardt, Hyung Jin Chang	PDF	N/A
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection	Jiaxi Wu, Songtao Liu, Di Huang, Yunhong Wang	PDF	N/A
Single-Image Depth Prediction Makes Feature Matching Easier	Carl Toft, Daniyar Turmukhambetov, Torsten Sattler, Fredrik Kahl, Gabriel J. Brostow	PDF	N/A
Deep Reinforced Attention Learning for Quality-Aware Visual Recognition	Duo Li, Qifeng Chen	PDF	N/A
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization	Yuxi Li, Weiyao Lin, John See, Ning Xu Shugong Xu, Ke Yan, Cong Yang	PDF	N/A
Learning Joint Spatial-Temporal Transformations for Video Inpainting	Yanhong Zeng, Jianlong Fu, Hongyang Chao	PDF	N/A
Single Path One-Shot Neural Architecture Search with Uniform Sampling	Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, Jian Sun	PDF	N/A
Learning to Generate Novel Domains for Domain Generalization	Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang	PDF	N/A
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections	Theodora Kontogianni, Michael Gygli, Jasper Uijlings, Vittorio Ferrari	PDF	N/A
Impact of base dataset design on few-shot image classification	Othman Sbai, Camille Couprie, Mathieu Aubry	PDF	N/A
Invertible Zero-Shot Recognition Flows	Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao	PDF	N/A
GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes	Weidong Zhang, Wei Zhang, Yinda Zhang	PDF	N/A
Location Sensitive Image Retrieval and Tagging	Raul Gomez, Jaume Gibert, Lluis Gomez, Dimosthenis Karatzas	PDF	N/A
Joint 3D Layout and Depth Prediction from a Single Indoor Panorama Image	Wei Zeng, Sezer Karaoglu, Theo Gevers	PDF	N/A
Guessing State Tracking for Visual Dialogue	Wei Pang, Xiaojie Wang	PDF	N/A
Memory-Efficient Incremental Learning Through Feature Adaptation	Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid	PDF	N/A
Neural Voice Puppetry: Audio-driven Facial Reenactment	Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, Matthias Nießner	PDF	N/A
One-Shot Unsupervised Cross-Domain Detection	Antonio D’Innocente, Francesco Cappio Borlino, Silvia Bucci, Barbara Caputo, Tatiana Tommasi	PDF	N/A
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks	Majed El Helou, Ruofan Zhou, Sabine Süsstrunk	PDF	N/A
Probabilistic Future Prediction for Video Scene Understanding	Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, Alex Kendall	PDF	N/A
Suppressing Mislabeled Data via Grouping and Self-Attention	Xiaojiang Peng, Kai Wang, Zhaoyang Zeng, Qing Li, Jianfei Yang, Yu Qiao	PDF	N/A
Class-wise Dynamic Graph Convolution for Semantic Segmentation	Hanzhe Hu, Deyi Ji, Weihao Gan, Shuai Bai, Wei Wu, Junjie Yan	PDF	N/A
Character-Preserving Coherent Story Visualization	Yun-Zhu Song, Zhi Rui Tam, Hung-Jen Chen, Huiao-Han Lu, Hong-Han Shuai	PDF	N/A
GINet: Graph Interaction Network for Scene Parsing	Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, MingWu, Zhanyu Ma, Guodong Guo	PDF	N/A
Tensor Low-Rank Reconstruction for Semantic Segmentation	Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen , Bei Yu	PDF	N/A
Attentive Normalization	Xilai Li, Wei Sun, Tianfu Wu	PDF	N/A
Count- and Similarity-aware R-CNN for Pedestrian Detection	Jin Xie, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Mubarak Shah	PDF	N/A
TRADI: Tracking Deep Neural network Weight Distributions	Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch	PDF	N/A
Spatiotemporal Attacks for Embodied Agents	Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao	PDF	N/A
Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model without Manual Annotation	Qingqiu Huang, Lei Yang, Huaiyi Huang, Tong Wu, Dahua Lin	PDF	N/A
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild	Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A Efros, Jingwan Lu	PDF	N/A
Design and Interpretation of Universal Adversarial Patches in Face Detection	Xiao Yang, Fangyun Wei, Hongyang Zhang, Jun Zhu	PDF	N/A
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild	Yang Xiao, Renaud Marlet	PDF	N/A
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints	Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz	PDF	N/A
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification	Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo	PDF	N/A
Contextual Heterogeneous Graph Network for Human-Object Interaction Detection	Hai Wang, Wei-shi Zheng, Ling Yingbiao	PDF	N/A
Zero-Shot Image Super-Resolution with Depth Guided Internal Degradation Learning	Xi Cheng, Zhenyong Fu, Jian Yang	PDF	N/A
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration	Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi	PDF	N/A
Interactive Video Object Segmentation Using Global and Local Transfer Modules	Yuk Heo, Yeong Jun Koh, Chang-Su Kim	PDF	N/A
End-to-end Interpretable Learning of Non-blind Image Deblurring	Thomas Eboli, Jian Sun, Jean Ponce	PDF	N/A
Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation	Junsong Fan, Zhaoxiang Zhang, Tieniu Tan	PDF	N/A
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection	Jing Zhang, Jianwen Xie, Nick Barnes	PDF	N/A
Rethinking Image Deraining via Rain Streaks and Vapors	Yinglong Wang, Yibing Song, Chao Ma, Bing Zeng	PDF	N/A
Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes	Marcelo Gennari do Nascimento, Theo W. Costain, Victor Adrian Prisacariu	PDF	N/A
Is Sharing of Egocentric Video Giving Away Your Biometric Signature?	Daksh Thapar, Chetan Arora, Aditya Nigam	PDF	N/A
Captioning Images Taken by People Who Are Blind	Danna Gurari, Yinan Zhao, Meng Zhang, Nilavra Bhattacharya	PDF	N/A
Improving Semantic Segmentation via Decoupled Body and Edge Supervision	Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong	PDF	N/A
Conditional Entropy Coding for Efficient Video Compression	Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun	PDF	N/A
Differentiable Feature Aggregation Search for Knowledge Distillation	Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang	PDF	N/A
Attention Guided Anomaly Localization in Images	Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis	PDF	N/A
Self-supervised Video Representation Learning by Pace Prediction	Jiangliu Wang, Jianbo Jiao, Yun-Hui Liu	PDF	N/A
Full-Body Awareness from Partial Observations	Chris Rockwell, David F. Fouhey	PDF	N/A
Reinforced Axial Refinement Network for Monocular 3D Object Detection	Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie Zhou, Qi Tian	PDF	N/A
Self-Supervised Multi-Task Procedure Learning from Instructional Videos	Ehsan Elhamifar, Dat Huynh	PDF	N/A
CosyPose: Consistent multi-view multi-object 6D pose estimation	Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic	PDF	N/A
In-Domain GAN Inversion for Real Image Editing	Jiapeng Zhu, Yujun Shen, Deli Zhao, Bolei Zhou	PDF	N/A
Key Frame Proposal Network for Efficient Pose Estimation in Videos	Yuexi Zhang, Yin Wang, Octavia Camps, Mario Sznaier	PDF	N/A
Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning	Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu	PDF	N/A
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs	Robin Rombach, Patrick Esser, Björn Ommer	PDF	N/A
Cross-Modal Weighting Network for RGB-D Salient Object Detection	Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, Haibin Ling	PDF	N/A
Open-set Adversarial Defense	Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel	PDF	N/A
Deep Image Compression using Decoder Side Information	Sharon Ayzik, Shai Avidan	PDF	N/A
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation	Jeevan Devaranjan, Amlan Kar, Sanja Fidler	PDF	N/A
A Generic Visualization Approach for Convolutional Neural Networks	Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis	PDF	N/A
Interactive Annotation of 3D Object Geometry using 2D Scribbles	Tianchang Shen, Jun Gao, Amlan Kar, Sanja Fidler	PDF	N/A
Hierarchical Kinematic Human Mesh Recovery	Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Košecká, Ziyan Wu	PDF	N/A
Multi-Loss Rebalancing Algorithm for Monocular Depth Estimation	Jae-Han Lee, Chang-Su Kim	PDF	N/A
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View	Marc Badger, Yufu Wang, Adarsh Modh, Ammon Perkes, Nikos Kolotouros , Bernd G. Pfrommer, Marc F. Schmidt, Kostas Daniilidis	PDF	N/A
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos	Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogerio Feris, Carl Vondrick, Aude Oliva	PDF	N/A
Joint Optimization for Multi-Person Shape Models from Markerless 3D-Scans	Samuel Zeitvogel, Johannes Dornheim, Astrid Laubenheimer	PDF	N/A
Accurate RGB-D Salient Object Detection via Collaborative Learning	Wei Ji, Jingjing Li, Miao Zhang, Yongri Piao, Huchuan Lu	PDF	N/A
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss	David Griffiths, Jan Boehm, Tobias Ritschel	PDF	N/A
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection	Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin	PDF	N/A
Two Stream Active Query Suggestion for Active Learning in Connectomics	Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel Berger, Brian Matejek, Lee Kamentsky, Adi Peleg, Daniel Haehn, Thouis Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister	PDF	N/A
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images	Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy Mitra, Leonidas J. Guibas	PDF	N/A
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference	Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas Guibas, Slobodan Ilic, Nassir Navab	PDF	N/A
Modeling Artistic Workflows for Image Generation and Editing	Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir Kim, Ming-Hsuan Yang	PDF	N/A
A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks	Sangpil Kim, Hyung-gun Chi, Xiao Hu, Qixing Huang, Karthik Ramani	PDF	N/A
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails	Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely	PDF	N/A
Self-Supervised Learning of Audio-Visual Objects from Video	Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman	PDF	N/A
GAN-based Garment Generation Using Sewing Pattern Images	Yu Shen, Junbang Liang, Ming C. Lin	PDF	N/A
Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach	Chaitanya Ahuja, Dong Won Lee, Yukiko I. Nakano, Louis-Philippe Morency	PDF	N/A
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds	Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A Ross, Thomas Funkhouser, Alireza Fathi	PDF	N/A
Monotonicity Prior for Cloud Tomography	Tamar Loeub, Aviad Levis, Vadim Holodovsky, Yoav Y. Schechner	PDF	N/A
Learning Trailer Moments in Full-Length Movies with Co-Contrastive Attention	Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas	PDF	N/A
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval	Christopher Thomas, Adriana Kovashka	PDF	N/A
Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline	Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das	PDF	N/A
Learning to Generate Grounded Visual Captions without Localization Supervision	Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira	PDF	N/A
Neural Hair Rendering	Menglei Chai, Jian Ren, Sergey Tulyakov	PDF	N/A
JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling	Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu, Baoyuan Wang	PDF	N/A
On Disentangling Spoof Trace for Generic Face Anti-Spoofing	Yaojie Liu, Joel Stehouwer, Xiaoming Liu	PDF	N/A
Streaming Object Detection for 3-D Point Clouds	Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen	PDF	N/A
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search	Yun-Chun Chen, Chen Gao, Esther Robb, Jia-Bin Huang	PDF	N/A
Learning to Learn in a Semi-Supervised Fashion	Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang	PDF	N/A
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning	Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira	PDF	N/A
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects	Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun	PDF	N/A
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation	Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh	PDF	N/A
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes	Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke	PDF	N/A
Towards causal benchmarking of bias in face analysis algorithms	Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona	PDF	N/A
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation	Tong He, Dong Gong, Zhi Tian, Chunhua Shen	PDF	N/A
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions	Noa Garcia, Yuta Nakashima	PDF	N/A
Transformation Consistency Regularization – A Semi-Supervised Paradigm for Image-to-Image Translation	Aamir Mustafa, Rafal K. Mantiuk	PDF	N/A
LIRA: Lifelong Image Restoration from Unknown Blended Distortions	Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen	PDF	N/A
HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization	Jiahao Lin, Gim Hee Lee	PDF	N/A
SOLO: Segmenting Objects by Locations	Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li	PDF	N/A
Learning to See in the Dark with Events	Song Zhang, Yu Zhang, Zhe Jiang, Dongqing Zou, Jimmy Ren, Bin Zhou	PDF	N/A
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data	Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone	PDF	N/A
Context-Gated Convolution	Xudong Lin, Lin Ma, Wei Liu, Shih-Fu Chang	PDF	N/A
Polynomial Regression Network for Variable-Number Lane Detection	Bingke Wang, Zilei Wang, Yixin Zhang	PDF	N/A
Structural Deep Metric Learning for Room Layout Estimation	Wenzhao Zheng, Jiwen Lu, Jie Zhou	PDF	N/A
Adaptive Task Sampling for Meta-Learning	Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang Kun Zhang, Steven C.H. Hoi	PDF	N/A
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images	Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li	PDF	N/A
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems	Kailai Zhou, Linsen Chen, Xun Cao	PDF	N/A
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling	Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu	PDF	N/A
Online Ensemble Model Compression using Knowledge Distillation	Devesh Walawalkar, Zhiqiang Shen, Marios Savvides	PDF	N/A
Deep Learning-based Pupil Center Detection for Fast and Accurate Eye Tracking System	Kang Il Lee, Jung Ho Jeon, Byung Cheol Song	PDF	N/A
Efficient Residue Number System Based Winograd Convolution	Zhi-Gang Liu, Matthew Mattina	PDF	N/A
Robust Tracking against Adversarial Attacks	Shuai Jia, Chao Ma, Yibing Song, Xiaokang Yang	PDF	N/A
Single-Shot Neural Relighting and SVBRDF Estimation	Shen Sang, Manmohan Chandraker	PDF	N/A
Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement	Qiang Nie , Ziwei Liu , Yunhui Liu	PDF	N/A
Angle-based Search Space Shrinking for Neural Architecture Search	Yiming Hu, Yuding Liang, Zichao Guo, Ruosi Wan, Xiangyu Zhang, Yichen Wei, Qingyi Gu, Jian Sun	PDF	N/A
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition	Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun, Wayne Zhang	PDF	N/A
Towards Fast, Accurate and Stable 3D Dense Face Alignment	Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li	PDF	N/A
Iterative Feature Transformation for Fast and Versatile Universal Style Transfer	Tai-Yin Chiu, Danna Gurari	PDF	N/A
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search	Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li	PDF	N/A
Toward Faster and Simpler Matrix Normalization via Rank-1 Update	Tan Yu, Yunfeng Cai, Ping Li	PDF	N/A
Accurate Polarimetric BRDF for Real Polarization Scene Rendering	Yuhi Kondo, Taishi Ono, Legong Sun, Yasutaka Hirasawa, Jun Murayama	PDF	N/A
Lensless Imaging with Focusing Sparse URA Masks in Long-Wave Infrared and its Application for Human Detection	Ilya Reshetouski, Hideki Oyaizu, Kenichiro Nakamura, Ryuta Satoh, Suguru Ushiki, Ryuichi Tadano, Atsushi Ito, Jun Murayama	PDF	N/A
Topology-Preserving Class-Incremental Learning	Xiaoyu Tao, Xinyuan Chang, Xiaopeng Hong, Xing Wei, Yihong Gong	PDF	N/A
Inter-Image Communication for Weakly Supervised Localization	Xiaolin Zhang, Yunchao Wei, Yi Yang	PDF	N/A
UFO²: A Unified Framework towards Omni-supervised Object Detection	Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz	PDF	N/A
iCaps: An Interpretable Classifier via Disentangled Capsule Networks	Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon	PDF	N/A
Detecting Natural Disasters, Damage, and Incidents in the Wild	Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Agata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba	PDF	N/A
Dynamic ReLU	Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu	PDF	N/A
Acquiring Dynamic Light Fields through Coded Aperture Camera	Kohei Sakai, Keita Takahashi, Toshiaki Fujii, Hajime Nagahara	PDF	N/A
Gait Recognition from a Single Image using a Phase-Aware Gait Cycle Reconstruction Network	Chi Xu, Yasushi Makihara, Xiang Li, Yasushi Yagi, Jianfeng Lu	PDF	N/A
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation	Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun	PDF	N/A
Spherical Feature Transform for Deep Metric Learning	Yuke Zhu, Yan Bai, Yichen Wei	PDF	N/A
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering	Ruixue Tang, Chao Ma, Wei Emma Zhang, Qi Wu, Xiaokang Yang	PDF	N/A
Unsupervised Multi-View CNN for Salient View Selection of 3D Objects and Scenes	Ran Song, Wei Zhang, Yitian Zhao, Yonghuai Liu	PDF	N/A
Representation Sharing for Fast Object Detector Search and Beyond	Yujie Zhong, Zelu Deng, Sheng Guo, Matthew R. Scott, Weilin Huang	PDF	N/A
Peeking into occluded joints: A novel framework for crowd pose estimation	Lingteng Qiu, Xuanye Zhang, Yanran Li, Guanbin Li, Xiaojun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui	PDF	N/A
RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition	Linxi Fan, Shyamal Buch, Guanzhi Wang, Ryan Cao, Yuke Zhu, Juan Carlos Niebles, Li Fei-Fei	PDF	N/A
Deep Hashing with Active Pairwise Supervision	Ziwei Wang, Quan Zheng, Jiwen Lu, Jie Zhou	PDF	N/A
Graph Edit Distance Reward: Learning to Edit Scene Graph	Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu	PDF	N/A
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing	Yajie Xing, Jingbo Wang, Gang Zeng	PDF	N/A
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion	Chang Shu, Kun Yu, Zhixiang Duan, Kuiyuan Yang	PDF	N/A
Propagating Over Phrase Relations for One-Stage Visual Grounding	Sibei Yang, Guanbin Li, Yizhou Yu	PDF	N/A
Adversarial Semantic Data Augmentation for Human Pose Estimation	Yanrui Bin, Xuan Cao, Xinya Chen, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, Nong Sang	PDF	N/A
Free View Synthesis	Gernot Riegler, Vladlen Koltun	PDF	N/A
Face Anti-Spoofing via Disentangled Representation Learning	Ke-Yue Zhang, Taiping Yao, Jian Zhang, Ying Tai, Shouhong Ding, Jilin Li, Feiyue Huang, Haichuan Song, Lizhuang Ma	PDF	N/A
Prime-Aware Adaptive Distillation	Youcai Zhang, Zhonghao Lan, Yuchen Dai, Fangao Zeng, Yan Bai, Jie Chang, Yichen Wei	PDF	N/A
Meta-Learning with Network Pruning	Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu	PDF	N/A
Spiral Generative Network for Image Extrapolation	Dongsheng Guo, Hongzhi Liu, Haoru Zhao, Yunhao Cheng, Qingwei Song, Zhaorui Gu, Haiyong Zheng, Bing Zheng	PDF	N/A
SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches	Fang Liu, Changqing Zou, Xiaoming Deng, Ran Zuo, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang	PDF	N/A
Few-shot Compositional Font Generation with Dual Memory	Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee	PDF	N/A
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling	Yue Qian, Junhui Hou, Sam Kwong, Ying He	PDF	N/A
Handcrafted Outlier Detection Revisited	Luca Cavalli, Viktor Larsson, Martin Ralf Oswald, Torsten Sattler, Marc Pollefeys	PDF	N/A
The Average Mixing Kernel Signature	Luca Cosmo, Giorgia Minello, Michael Bronstein, Luca Rossi, Andrea Torsello	PDF	N/A
BCNet: Learning Body and Cloth Shape from A Single Image	Boyi Jiang, Juyong Zhang, Yang Hong, Jinhao Luo, Ligang Liu, Hujun Bao	PDF	N/A
Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos	Umer Rafi, Andreas Doering, Bastian Leibe, Juergen Gall	PDF	N/A
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration	Jingwen He, Chao Dong, Yu Qiao	PDF	N/A
Polysemy Deciphering Network for Human-Object Interaction Detection	Xubin Zhong, Changxing Ding, Xian Qu, Dacheng Tao	PDF	N/A
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning	Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle	PDF	N/A
Learning Graph-Convolutional Representations for Point Cloud Denoising	Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli	PDF	N/A
Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching	Dongkwon Jin, Jun-Tae Lee,  Chang-Su Kim	PDF	N/A
A Differentiable Recurrent Surface for Asynchronous Event-Based Data	Marco Cannici, Marco Ciccone, Andrea Romanoni , Matteo Matteucci	PDF	N/A
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches	Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Zhanyu Ma , Yi-Zhe Song, Jun Guo	PDF	N/A
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation	Tak-Wai Hui, Chen Change Loy	PDF	N/A
Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters	Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis	PDF	N/A
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language	Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner	PDF	N/A
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds	Zeyu Hu, Mingmin Zhen, Xuyang Bai, Hongbo Fu, Chiew-lan Tai	PDF	N/A
Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior	Hu Zhang, Linchao Zhu, Yi Zhu, Yi Yang	PDF	N/A
An Inference Algorithm for Multi-Label MRF-MAP Problems with Clique Size 100	Ishant Shanu, Siddhant Bharti, Chetan Arora, S. N. Maheshwari	PDF	N/A
Dual Refinement Underwater Object Detection Network	Baojie Fan, Wei Chen, Yang Cong, Jiandong Tian	PDF	N/A
Multiple Sound Sources Localization from Coarse to Fine	Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, Weiyao Lin	PDF	N/A
Task-Aware Quantization Network for JPEG Image Compression	Jinyoung Choi, Bohyung Han	PDF	N/A
Energy-Based Models for Deep Probabilistic Regression	Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön	PDF	N/A
CLOTH3D: Clothed 3D Humans	Hugo Bertiche, Meysam Madadi, Sergio Escalera	PDF	N/A
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images	Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao	PDF	N/A
CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers	Xingping Dong, Jianbing Shen, Ling Shao, Fatih Porikli	PDF	N/A
Occlusion-Aware Siamese Network for Human Pose Estimation	Lu Zhou, Yingying Chen, Yunze Gao, Jinqiao Wang, Hanqing Lu	PDF	N/A
Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model	Yufan Liu, Minglang Qiao, Mai Xu, Bing Li, Weiming Hu, Ali Borji	PDF	N/A
NormalGAN: Learning Detailed 3D Human from a Single RGB-D Image	Lizhen Wang, Xiaochen Zhao, Tao Yu, Songtao Wang, Yebin Liu	PDF	N/A
Model-based occlusion disentanglement for image-to-image translation	Fabio Pizzati, Pietro Cerri, Raoul de Charette	PDF	N/A
Rotation-robust Intersection over Union for 3D Object Detection	Yu Zheng, Danyang Zhang, Sinan Xie, Jiwen Lu, Jie Zhou	PDF	N/A
New Threats against Object Detector with Non-local Block	Yi Huang, Fan Wang, Adams Wai-Kin Kong, Kwok-Yan Lam	PDF	N/A
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation	Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng	PDF	N/A
On the Usage of the Trifocal Tensor in Motion Segmentation	Federica Arrigoni, Luca Magri, Tomas Pajdla	PDF	N/A
3D-Rotation-Equivariant Quaternion Neural Networks	Wen Shen, Binbin Zhang, Shikun Huang, Zhihua Wei, Quanshi Zhang	PDF	N/A
InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image	Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee	PDF	N/A
Active Crowd Counting with Limited Supervision	Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao, Li Li	PDF	N/A
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance	Marvin Klingner, Jan-Aike Termhlen, Jonas Mikolajczyk, Tim Fingscheidt	PDF	N/A
Hierarchical Visual-Textual Graph for Temporal Activity Localization via Language	Shaoxiang Chen, Yu-Gang Jiang	PDF	N/A
Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On	Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes	PDF	N/A
NODIS: Neural Ordinary Differential Scene Understanding	Yuren Cong, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn	PDF	N/A
AssembleNet++: Assembling Modality Representations via Attention Connections - Supplementary Material -	Michael S. Ryoo, AJ Piergiovanni, Juhana Kangaspunta, Anelia Angelova	PDF	N/A
Learning Propagation Rules for Attribution Map Generation	Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang	PDF	N/A
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference	Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis , Anton Obukhov, Luc Van Gool	PDF	N/A
Learning Predictive Models from Observation and Interaction	Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn	PDF	N/A
Unifying Deep Local and Global Features for Image Search	Bingyi Cao, André Araujo, Jack Sim	PDF	N/A
Human Body Model Fitting by Learned Gradient Descent	Jie Song, Xu Chen, Otmar Hilliges	PDF	N/A
DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition	Matthew Korban, Xin Li	PDF	N/A
Learning latent representations across multiple data domains using Lifelong VAEGAN	Fei Ye, Adrian G. Bors	PDF	N/A
DVI: Depth Guided Video Inpainting for Autonomous Driving	Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, Ruigang Yang	PDF	N/A
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation	Kenan E. Ak, Ning Xu, Zhe Lin, Yilin Wang	PDF	N/A
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection	A. Braunegg, Amartya Chakraborty, Michael Krumdick, Nicole Lape, Sara Leary, Keith Manville, Elizabeth Merkhofer, Laura Strickhart, Matthew Walmer	PDF	N/A
Visual Question Answering on Image Sets	Ankan Bansal, Yuting Zhang, Rama Chellappa	PDF	N/A
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots	Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan Yuille	PDF	N/A
Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations	Huaiyi Huang, Yuqi Zhang, Qingqiu Huang, Zhengkui Guo, Ziwei Liu, Dahua Lin	PDF	N/A
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points	Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich	PDF	N/A
Dynamic Low-light Imaging with Quanta Image Sensors	Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan	PDF	N/A
Disambiguating Monocular Depth Estimation with a Single Transient	Mark Nishimura, David B. Lindell, Christopher Metzler, Gordon Wetzstein	PDF	N/A
DSDNet: Deep Structured self-Driving Network	Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun	PDF	N/A
QuEST: Quantized Embedding Space for Transferring Knowledge	Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord	PDF	N/A
EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis	Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li	PDF	N/A
Backpropagated Gradient Representations for Anomaly Detection	Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib	PDF	N/A
Dense RepPoints: Representing Visual Objects with Dense Point Sets	Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang Raquel Urtasun, Liwei Wang , Stephen Lin, Han Hu	PDF	N/A
On Dropping Clusters to Regularize Graph Convolutional Neural Networks	Xikun Zhang, Chang Xu, Dacheng Tao	PDF	N/A
Adaptive Video Highlight Detection by Learning from User History	Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye, Yang Wang	PDF	N/A
Improving 3D Object Detection through Progressive Population Based Augmentation	Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov	PDF	N/A
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction	Jiongchao Jin, Akshay Gadi Patil, Zhang Xiong, Hao Zhang	PDF	N/A
SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization	Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, Ram Nevatia	PDF	N/A
Adversarial Learning for Zero-shot Domain Adaptation	Jinghua Wang, Jianmin Jiang	PDF	N/A
YOLO in the Dark - Domain Adaptation Method for Merging Multiple Models -	Yukihiro Sasagawa, Hajime Nagahara	PDF	N/A
Identity-Aware Multi-Sentence Video Description	Jae Sung Park, Trevor Darrell, Anna Rohrbach	PDF	N/A
VQA-LOL: Visual Question Answering under the Lens of Logic	Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang	PDF	N/A
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation	Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori	PDF	N/A
TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering	Xiaofeng Yang, Guosheng Lin, Fengmao Lv, Fayao Liu	PDF	N/A
Mining Inter-Video Proposal Relations for Video Object Detection	Mingfei Han, Yali Wang, Xiaojun Chang, Yu Qiao	PDF	N/A
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval	Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal	PDF	N/A
Minimum Class Confusion for Versatile Domain Adaptation	Ying Jin, Ximei Wang, Mingsheng Long(), Jianmin Wang	PDF	N/A
Large Batch Optimization for Object Detection: Training COCO in 12 Minutes	Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Yaowei Wang, Jinqiao Wang, Ming Tang	PDF	N/A
Towards Practical and Efficient High-Resolution HDR Deghosting with CNN	K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath , R. Venkatesh Babu	PDF	N/A
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection	Deniz Beker, Hiroharu Kato, Mihai Adrian Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon	PDF	N/A
Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation	Meng Tian, Marcelo H Ang Jr, Gim Hee Lee	PDF	N/A
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction	Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo	PDF	N/A
Image-based table recognition: data, model, and evaluation	Xu Zhong, Elaheh ShafieiBavani, Antonio Jimeno Yepes	PDF	N/A
Group Activity Prediction with Sequential Relational Anticipation Model	Junwen Chen, Wentao Bao,, Yu Kong	PDF	N/A
PiP: Planning-informed Trajectory Prediction for Autonomous Driving	Haoran Song, Wenchao Ding, Yuxuan Chen, Shaojie Shen, Michael Yu Wang, Qifeng Chen	PDF	N/A
PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer	Duo Li, Anbang Yao, Qifeng Chen	PDF	N/A
Hierarchical Context Embedding for Region-based Object Detection	Zhao-Min Chen, Xin Jin, Borui Zhao, Xiu-Shen Wei, Yanwen Guo	PDF	N/A
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition	Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao	PDF	N/A
Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection	Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, Tae Eun Choe	PDF	N/A
Sparse-to-Dense Depth Completion Revisited: Sampling Strategy and Graph Construction	Xin Xiong, Haipeng Xiong, Ke Xian, Chen Zhao, Zhiguo Cao, Xin Li	PDF	N/A
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation	Kaisiyuan Wang Qianyi Wu Linsen Song Zhuoqian Yang Wayne Wu Chen Qian Ran He Yu Qiao Chen Change Loy	PDF	N/A
Detecting Human-Object Interactions with Action Co-occurrence Priors	Dong-Jin Kim Xiao Sun Jinsoo Choi Stephen Lin In So Kweon	PDF	N/A
Learning Connectivity of Neural Networks from a Topological Perspective	Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan	PDF	N/A
JSTASR: Joint Size and Transparency-Aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal	Wei-Ting Chen, Hao-Yu Fang, Jian-Jiun Ding, Cheng-Che Tsai, Sy-Yen Kuo	PDF	N/A
Ocean: Object-aware Anchor-free Tracking	Zhipeng Zhang, Houwen Peng, Jianlong Fu Bing Li, Weiming Hu	PDF	N/A
Object Tracking using Spatio-Temporal Networks for Future Prediction Location	Yuan Liu, Ruoteng Li, Yu Cheng, Robby T. Tan, Xiubao Sui	PDF	N/A
Pillar-based Object Detection for Autonomous Driving	Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Tom Funkhouser, Justin Solomon	PDF	N/A
Sparse Adversarial Attack via Perturbation Factorization	Yanbo Fan, Baoyuan Wu, Tuanhui Li, Yong Zhang, Mingyang Li, Zhifeng Li, Yujiu Yang	PDF	N/A
3D Scene Reconstruction from a Single Viewport	Maximilian Denninger, Rudolph Triebel	PDF	N/A
Learning to Optimize Domain Specific Normalization for Domain Generalization	Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, Bohyung Han	PDF	N/A
Self-supervised Outdoor Scene Relighting	Ye Yu, Abhimitra Meka, Mohamed Elgharib, Hans-Peter Seidel, Christian Theobalt, William A. P. Smith	PDF	N/A
Privacy Preserving Visual SLAM	Mikiya Shibuya, Shinya Sumikura, Ken Sakurada	PDF	N/A
Leveraging Acoustic Images for Effective Self-Supervised Audio Representation Learning	Valentina Sanguineti, Pietro Morerio, Niccolò Pozzetti, Danilo Greco, Marco Cristani, Vittorio Murino	PDF	N/A
Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval	Yanbei Chen, Loris Bazzani	PDF	N/A
Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World	Haoang Li, Pyojin Kim, Ji Zhao, Kyungdon Joo, Zhipeng Cai, Zhe Liu , Yun-Hui Liu	PDF	N/A
StyleGAN2 Distillation for Feed-forward Image Manipulation	Yuri Viazovetskyi, Vladimir Ivashkin, Evgeny Kashin	PDF	N/A
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds	Jinxian Liu, Minghui Yu, Bingbing Ni⁴, Ye Chen	PDF	N/A
Learning Disentangled Representations via Mutual Information Estimation	Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner	PDF	N/A
Challenge-Aware RGBT Tracking	Chenglong Li, Lei Liu, Andong Lu, Qing Ji, Jin Tang	PDF	N/A
Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration	Bruno Lecouat, Jean Ponce, Julien Mairal	PDF	N/A
AutoSimulate: (Quickly) Learning Synthetic Data Generation	Harkirat Singh Behl, Atilim Güneş Baydin, Ran Gal, Philip H.S. Torr, Vibhav Vineet	PDF	N/A
LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block	Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu	PDF	N/A
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation	M.Naseer Subhani, Mohsen Ali	PDF	N/A
Active Visual Information Gathering for Vision-Language Navigation	Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen	PDF	N/A
Deep Hough-Transform Line Priors	Yancong Lin, Silvia L. Pintea, Jan C. van Gemert	PDF	N/A
Unsupervised Shape and Pose Disentanglement for 3D Meshes	Keyang Zhou, Bharat Lal Bhatnagar, Gerard Pons-Moll	PDF	N/A
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection	Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee	PDF	N/A
Inclusive GAN: Improving Data and Minority Coverage in Generative Models	Ning Yu, Ke Li, Peng Zhou Jitendra Malik, Larry Davis, Mario Fritz	PDF	N/A
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects	Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte	PDF	N/A
Dive Deeper Into Box for Object Detection	Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai	PDF	N/A
PG-Net: Pixel to Global Matching Network for Visual Tracking	Bingyan Liao, Chenye Wang, Yayun Wang, Yaonong Wang, Jun Yin	PDF	N/A
Why Are Deep Representations Good Perceptual Quality Features?	Taimoor Tariq, Okan Tarhan Tursun, Munchurl Kim, Piotr Didyk	PDF	N/A
Geometric Estimation via Robust Subspace Recovery	Aoxiang Fan, Xingyu Jiang, Yang Wang, Junjun Jiang, Jiayi Ma	PDF	N/A
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification	Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao	PDF	N/A
Human Correspondence Consensus for 3D Object Semantic Understanding	Yujing Lou, Yang You, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu	PDF	N/A
Learning Memory Augmented Cascading Network for Compressed Sensing of Images	Jiwei Chen, Yubao Sun, Qingshan Liu, Rui Huang	PDF	N/A
Least squares surface reconstruction on arbitrary domains	Dizhong Zhu, William A. P. Smith	PDF	N/A
Task-conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery	My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto del Bimbo	PDF	N/A
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting	Junhua Zou, Zhisong Pan, Junyang Qiu, Xin Liu, Ting Rui, Wei Li	PDF	N/A
DADA: Differentiable Automatic Data Augmentation	Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy Hospedales, Neil M. Robertson, Yongxin Yang	PDF	N/A
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans	Armen Avetisyan, Tatiana Khanova, Christopher Choy, Denver Dash, Angela Dai, Matthias Nießner	PDF	N/A
Kinship Identification through Joint Learning using Kinship Verification Ensembles	Wei Wang, Shaodi You, Theo Gevers	PDF	N/A
Kernelized Memory Network for Video Object Segmentation	Hongje Seong, Junhyuk Hyun, Euntai Kim	PDF	N/A
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection	Xiaoqi Zhao, Lihe Zhang¹, Youwei Pang, Huchuan Lu, Lei Zhang	PDF	N/A
Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation	Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, Alex Kot	PDF	N/A
Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking	Chunluan Zhou Zhou Ren Gang Hua	PDF	N/A
Neural Point-Based Graphics	Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, Victor Lempitsky	PDF	N/A
FHDe²Net: Full High Definition Demoireing Network	Bin He, Ce Wang, Boxin Shi, Ling-Yu Duan	PDF	N/A
Learning Structural Similarity of User Interface Layouts using Graph Networks	Dipu Manandhar, Dan Ruta, John Collomosse	PDF	N/A
NAS-Count: Counting-by-Density with Neural Architecture Search	Yutao Hu ¹, Xiaolong Jiang ², Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao ², David Doermann	PDF	N/A
Towards Generalization Across Depth for Monocular 3D Object Detection	Andrea Simonelli, Samuel Rota Buló, Lorenzo Porzi, Elisa Ricci, Peter Kontschieder	PDF	N/A
Margin-Mix: Semi–Supervised Learning for Face Expression Recognition	Corneliu Florea, Mihai Badea, Laura Florea, Andrei Racoviteanu, Constantin Vertan	PDF	N/A
Principal Feature Visualisation in Convolutional Neural Networks	Marianne Bakken, Johannes Kvam, Alexey A. Stepanov, Asbjørn Berge	PDF	N/A
Progressive Refinement Network for Occluded Pedestrian Detection	Xiaolin Song Kaili Zhao Wen-Sheng Chu Honggang Zhang Jun Guo	PDF	N/A
Monocular Real-Time Volumetric Performance Capture	Ruilong Li, Yuliang Xiu, Shunsuke Saito, Zeng Huang, Kyle Olsewski, Hao Li	PDF	N/A
The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale	Christian Ertler, Jerneja Mislej, Tobias Ollmann, Lorenzo Porzi, Gerhard Neuhold, Yubin Kuang	PDF	N/A
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction	Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, MingXiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren⁸, Weiting Huang⁸, Haifeng Sun⁸, Marek Hrúz⁹, Jakub Kanis⁹, Zdeněk Krňoul⁹, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Grégory Rogez, Vincent Lepetit, Tae-Kyun Kim	PDF	N/A
Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders	Sarthak Bhagat, Shagun Uppal, Zhuyun Yin, Nengli Lim	PDF	N/A
SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks	Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen	PDF	N/A
Kinematic 3D Object Detection in Monocular Video	Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele	PDF	N/A
Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents	Ye Zhu, Yu Wu, Yi Yang, Yan Yan	PDF	N/A
SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding	Sangmin Lee, Jung Uk Kim, Hak Gu Kim, Seongyeop Kim, Yong Man Ro	PDF	N/A
End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention	Ziyi Meng, Jiawei Ma, Xin Yuan	PDF	N/A
Know Your Surroundings: Exploiting Scene Information for Object Tracking	Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte	PDF	N/A
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases	Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang	PDF	N/A
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images	Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Chang, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao	PDF	N/A
DeepLandscape: Adversarial Modeling of Landscape Videos	Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky	PDF	N/A
GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images	Lei Kang, Pau Riba, Yaxing Wang, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas	PDF	N/A
Spatial-Angular Interaction for Light Field Image Super-Resolution	Yingqian Wang,  Longguang Wang,  Jungang Yang, Wei An,  Jingyi Yu,  Yulan Guo	PDF	N/A
BATS: Binary ArchitecTure Search	Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos	PDF	N/A
A Closer Look at Local Aggregation Operators in Point Cloud Analysis	Ze Liu(†), Han Hu, Yue Cao, Zheng Zhang, Xin Tong	PDF	N/A
Look here! A parametric learning based approach to redirect visual attention	Youssef A. Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii	PDF	N/A
Variational Diffusion Autoencoders with Random Walk Sampling	Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger	PDF	N/A
Adaptive Variance Based Label Distribution Learning For Facial Age Estimation	Xin Wen, Biying Li, Haiyun Guo, Zhiwei Liu, Guosheng Hu, Ming Tang, Jinqiao Wang	PDF	N/A
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency	Shasha Li, Shitong Zhu, Sudipta Paul, Amit Roy-Chowdhury, Chengyu Song, Srikanth Krishnamurthy, Ananthram Swami, Kevin S Chan	PDF	N/A
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations	Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun	PDF	N/A
VarSR: Variational Super-Resolution Network for Very Low Resolution Images	Sangeek Hyun, Jae-Pil Heo	PDF	N/A
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation	Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHung Liao, Adam P. Harrison	PDF	N/A
Towards Recognizing Unseen Categories in Unseen Domains	Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo	PDF	N/A
Square Attack: a query-efficient black-box adversarial attack via random search	Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein	PDF	N/A
You Are Here: Geolocation by Embedding Maps and Images	Noe Samano, Mengjie Zhou, Andrew Calway	PDF	N/A
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation	Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz	PDF	N/A
From Image to Stability: Learning Dynamics from Human Pose	Jesse Scott, Bharadwaj Ravichandran, Christopher Funk, Robert T. Collins, Yanxi Liu	PDF	N/A
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation	Namdar Homayounfar Yuwen Xiong Justin Liang Wei-Chiu Ma Raquel Urtasun {namdar,yuwen,justin.liang,weichiu,urtasun}@uber.com	PDF	N/A
Efficient Scale-Permuted Backbone with Learned Resource Distribution	Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui Mingxing Tan, Quoc Le, Xiaodan Song	PDF	N/A
Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning	Jian Gao, Yang Hua, Guosheng Hu, Chi Wang, Neil M. Robertson	PDF	N/A
Bridging Knowledge Graphs to Generate Scene Graphs	Alireza Zareian, Svebor Karaman, Shih-Fu Chang	PDF	N/A
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting	Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun	PDF	N/A
Learning Visual Commonsense for Robust Scene Graph Generation	Alireza Zareian, Zhecan Wang, Haoxuan You, Shih-Fu Chang	PDF	N/A
MPCC: Matching Priors and Conditionals for Clustering	Nicolás Astorga, Pablo Huijse, Pavlos Protopapas, Pablo Estévez	PDF	N/A
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality	Yiqin Zhao, Tian Guo	PDF	N/A
Discrete Point Flow Networks for Efficient Point Cloud Generation	Roman Klokov, Edmond Boyer, Jakob Verbeek	PDF	N/A
Accelerating Deep Learning with Millions of Classes	Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang	PDF	N/A
Password-conditioned Anonymization and Deanonymization with Face Identity Transformers	Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee	PDF	N/A
Inertial Safety from Structured Light	Sizhuo Ma, Mohit Gupta	PDF	N/A
PointTriNet: Learned Triangulation of 3D Point Sets	Nicholas Sharp, Maks Ovsjanikov	PDF	N/A
Toward Unsupervised, Multi-Object Discovery in Large-Scale Image Collections	Huy V. Vo, Patrick Pérez, Jean Ponce	PDF	N/A
Deep Novel View Synthesis from Colored 3D Point Clouds	Zhenbo Song, Wayne Chen, Dylan Campbell, Hongdong Li	PDF	N/A
Consensus-Aware Visual-Semantic Embedding for Image-Text Matching	Haoran Wang, Ying Zhang, Zhong Ji, Yanwei Pang, Lin Ma	PDF	N/A
Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising	Guanting Dong, Yueyi Zhang, Zhiwei Xiong	PDF	N/A
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding	Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi	PDF	N/A
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition	Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou	PDF	N/A
Polarimetric Multi-View Inverse Rendering	Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi	PDF	N/A
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information	Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder	PDF	N/A
Improving Face Recognition by Clustering Unlabeled Faces in the Wild	Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik Learned-Miller, Manmohan Chandraker	PDF	N/A
NeuRoRA: Neural Robust Rotation Averaging	Pulak Purkait, Tat-Jun Chin, Ian Reid	PDF	N/A
SG-VAE: Scene Grammar Variational Autoencoder to generate new indoor scenes	Pulak Purkait, Christopher Zach, Ian Reid	PDF	N/A
Unsupervised Learning of Optical Flow with Deep Feature Similarity	Woobin Im, Tae-Kyun Kim, Sung-Eui Yoon	PDF	N/A
Blended Grammar Network for Human Parsing	Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang	PDF	N/A
P²Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation	Zehao Yu, Lei Jin, Shenghua Gao	PDF	N/A
Efficient Attention Mechanism for Visual Dialog that can Handle All the Interactions between Multiple Inputs	Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani	PDF	N/A
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting	Xiyang Liu, Jie Yang, Wenrui Ding, Tieqiang Wang, Zhijin Wang, Junjun Xiong	PDF	N/A
BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging	Ziheng Cheng, Ruiying Lu, Zhengjue Wang, Hao Zhang, Bo Chen, Ziyi Meng, Xin Yuan	PDF	N/A
Ultra Fast Structure-aware Deep Lane Detection	Zequn Qin, Huanyu Wang, Xi Li	PDF	N/A
Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling	Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, Seon Joo Kim	PDF	N/A
Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN	Zhenwei He, Lei Zhang	PDF	N/A
Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition	Xiaobo Wang, Tianyu Fu, Shengcai Liao, Shuo Wang, Zhen Lei, Tao Mei	PDF	N/A
Learning Camera-Aware Noise Models	Ke-Chi Chang, Ren Wang, Hung-Jin Lin, Yu-Lun Liu, Chia-Ping Chen, Yu-Lin Chang, Hwann-Tzong Chen	PDF	N/A
Towards Precise Completion of Deformable Shapes	Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel	PDF	N/A
Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration	Jiahao Li, Changhao Zhang, Ziyao Xu, Hangning Zhou, Chi Zhang	PDF	N/A
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization	Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots	PDF	N/A
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation	Xin Eric Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi[2]	PDF	N/A
TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data	Binghua Li, Chao Li, Feng Duan, Ning Zheng, Qibin Zhao	PDF	N/A
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis	Eu Wern Teh, Terrance DeVries, Graham W. Taylor	PDF	N/A
Learning with Privileged Information for Efficient Image Super-Resolution	Wonkyung Lee, Junghyup Lee, Dohyung Kim, Bumsub Ham	PDF	N/A
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification	Jianing Li,, Shiliang Zhang	PDF	N/A
Autoencoder-based Graph Construction for Semi-supervised Learning	Mingeun Kang, Kiwon Lee, Yong H. Lee, Changho Suh	PDF	N/A
Virtual Multi-view Fusion for 3D Semantic Segmentation	Abhijit Kundu, Xiaoqi Yin, Alireza Fathi, David Ross, Brian Brewington, Thomas Funkhouser, Caroline Pantofaru	PDF	N/A
Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition	Ke Cheng, Yifan Zhang, Congqi Cao, Lei Shi, Jian Cheng, Hanqing Lu	PDF	N/A
Deep Shape from Polarization	Yunhao Ba, Alex Gilbert, Franklin Wang, Jinfa Yang, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, Achuta Kadambi	PDF	N/A
A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning	Xingyu Chen, Xuguang Lan, Fuchun Sun, Nanning Zheng	PDF	N/A
Mind the Discriminability: Asymmetric Adversarial Domain Adaptation	Jianfei Yang, Han Zou, Yuxun Zhou, Zhaoyang Zeng, Lihua Xie ()	PDF	N/A
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates	Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker	PDF	N/A
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking	ShiJie Sun, Naveed Akhtar, XiangYu Song, HuanSheng Song, Ajmal Mian , Mubarak Shah	PDF	N/A
Deep FusionNet for Point Cloud Semantic Segmentation	Feihu Zhang Jin Fang Benjamin Wah Philip Torr	PDF	N/A
Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information	Bichuan Guo, Jiangtao Wen, Yuxing Han	PDF	N/A
Dual Adversarial Network for Deep Active Learning	Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng	PDF	N/A
Fully Convolutional Networks for Continuous Sign Language Recognition	Ka Leong Cheng, Zhaoyang Yang, Qifeng Chen, Yu-Wing Tai	PDF	N/A
Self-adapting confidence estimation for stereo	Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia	PDF	N/A
Deep Surface Normal Estimation on the 2-Sphere with Confidence Guided Semantic Attention	Quewei Li, Jie Guo, Yang Fei, Qinyu Tang, Wenxiu Sun, Jin Zeng, Yanwen Guo	PDF	N/A
AutoSTR: Efficient Backbone Search for Scene Text Recognition	Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai	PDF	N/A
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification	Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha	PDF	N/A
Adversarial Training with Bi-directional Likelihood Regularization for Visual Classification	Weitao Wan, Jiansheng Chen, Ming-Hsuan Yang	PDF	N/A
Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation	Ryuichiro Hataya, Zdenek Jan, Kazuki Yoshizoe, Hideki Nakayama	PDF	N/A
Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation	Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan	PDF	N/A
Boundary-Aware Cascade Networks for Temporal Action Segmentation	Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu	PDF	N/A
Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation	Xu Yan, Weibing Zhao, Kun Yuan, Ruimao Zhang, Zhen Li, Shuguang Cui	PDF	N/A
Inference Graphs for CNN Interpretation	Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel	PDF	N/A
An End-to-End OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension	Liangcheng Li, Feiyu Gao, Jiajun Bu, Yongpan Wang, Zhi Yu, Qi Zheng	PDF	N/A
Improving Query Efficiency of Black-box Adversarial Attack	Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo	PDF	N/A
Self-similarity Student for Partial Label Histopathology Image Segmentation	Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, Tyng-Luh Liu	PDF	N/A
BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions	Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli	PDF	N/A
A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images	Zhetong Liang, Shi Guo, Hong Gu, Huaqi Zhang, Lei Zhang	PDF	N/A
Global-and-Local Relative Position Embedding for Unsupervised Video Summarization	Yunjae Jung, Donghyeon Cho, Sanghyun Woo, In So Kweon	PDF	N/A
Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms	Jaesung Rim, Haeyun Lee, Jucheol Won, Sunghyun Cho	PDF	N/A
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking	Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu	PDF	N/A
CenterNet Heatmap Propagation for Real-time Video Object Detection	Zhujun Xu, Emir Hrustic, Damien Vivet	PDF	N/A
Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection	Youwei Pang, Lihe Zhang, Xiaoqi Zhao, Huchuan Lu	PDF	N/A
SOLAR: Second-Order Loss and Attention for Image Retrieval	Tony Ng, Vassileios Balntas, Yurun Tian, Krystian Mikolajczyk	PDF	N/A
Fixing Localization Errors to Improve Image Classification	Guolei Sun, Salman Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, Luc Van Gool	PDF	N/A
PatchPerPix for Instance Segmentation	Lisa Mais, Peter Hirsch and Dagmar Kainmueller	PDF	N/A
Attend and Segment: Attention Guided Active Semantic Segmentation	Soroush Seifi, Tinne Tuytelaars	PDF	N/A
Accelerating CNN Training by Pruning Activation Gradients	Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen	PDF	N/A
Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement	Han-Ul Kim, Young Jun Koh, Chang-Su Kim	PDF	N/A
Probabilistic Anchor Assignment with IoU Prediction for Object Detection	Kang Kim, Hee Seok Lee	PDF	N/A
Eyeglasses 3D shape reconstruction from a single face image	Yating Wang, Quan Wang, Feng Xu	PDF	N/A
Temporal Complementary Learning for Video Person Re-Identification	Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen	PDF	N/A
HoughNet: Integrating near and long-range evidence for bottom-up object detection	Nermin Samet, Samet Hicsonmez, Emre Akbas	PDF	N/A
Graph Wasserstein Correlation Analysis for Movie Retrieval	Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui, Jian Yang	PDF	N/A
Context-Aware RCNN: A Baseline for Action Detection in Videos	Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu	PDF	N/A
Full-Time Monocular Road Detection Using Zero-Distribution Prior of Angle of Polarization	Ning Li, Yongqiang Zhao, Quan Pan, Seong G. Kong, Jonathan Cheung-Wai Chan	PDF	N/A
A Flexible Recurrent Residual Pyramid Network for Video Frame Interpolation	Haoxian Zhang, Yang Zhao, Ronggang Wang	PDF	N/A
Learning Enriched Features for Real Image Restoration and Enhancement	Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao	PDF	N/A
Detail Preserved Point Cloud Completion via Separated Feature Aggregation	Wenxiao Zhang, Qingan Yan, Chunxia Xiao	PDF	N/A
LabelEnc: A New Intermediate Supervision Method for Object Detection	Miao Hao, Yitao Liu, Xiangyu Zhang, Jian Sun	PDF	N/A
Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets	Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel, Jose J. Guerrero, Cédric Demonceaux, Luc Van Gool	PDF	N/A
PAMS: Quantized Super-Resolution via Parameterized Max Scale	Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji	PDF	N/A
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds	Xinge Zhu      Yuexin Ma      Tai Wang      Yan Xu Jianping Shi      Dahua Lin	PDF	N/A
OID: Outlier Identifying and Discarding in Blind Image Deblurring	Liang Chen, Faming Fang, Jiawei Zhang, Jun Liu, Guixu Zhang	PDF	N/A
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors	Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders Eriksson, Eugene Belilovsky	PDF	N/A
Enhanced Sparse Model for Blind Deblurring	Liang Chen, Faming Fang, Shen Lei, Fang Li, Guixu Zhang	PDF	N/A
SumGraph: Video Summarization via Recursive Graph Modeling	Jungin Park, Jiyoung Lee, Ig-Jae Kim, Kwanghoon Sohn	PDF	N/A
Feature Normalized Knowledge Distillation for Image Classification	Kunran Xu, Lai Rui, Yishi Li, Lin Gu	PDF	N/A
A Metric Learning Reality Check	Kevin Musgrave, Serge Belongie, Ser-Nam Lim	PDF	N/A
FTL: A universal framework for training low-bit DNNs via Feature Transfer	Kunyuan Du, Ya Zhang, Haibing Guan, Qi Tian, Shenggan Cheng, James Lin	PDF	N/A
XingGAN for Person Image Generation	Hao Tang, Song Bai, Li Zhang, Philip H.S. Torr, Nicu Sebe	PDF	N/A
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering	Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang	PDF	N/A
VCNet: A Robust Approach to Blind Image Inpainting	Yi Wang, Ying-Cong Chen, Xin Tao, Jiaya Jia	PDF	N/A
Learning to Predict Context-adaptive Convolution for Semantic Segmentation	Jianbo Liu, Junjun He, Yu Qiao, Jimmy S. Ren, Hongsheng Li	PDF	N/A
EfficientFCN: Holistically-guided Decoding for Semantic Segmentation	Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li	PDF	N/A
GroSS: Group-Size Series Decomposition for Grouped Architecture Search	Henry Howard-Jenkins, Yiwen Li, Victor Adrian Prisacariu	PDF	N/A
Efficient Adversarial Attacks for Visual Object Tracking	Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao	PDF	N/A
Globally-Optimal Event Camera Motion Estimation	Xin Peng, Yifu Wang, Ling Gao, Laurent Kneip	PDF	N/A
Weakly-supervised Learning of Human Dynamics	Petrissa Zell, Bodo Rosenhahn, Bastian Wandt	PDF	N/A
Journey Towards Tiny Perceptual Super-Resolution	Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane	PDF	N/A
What makes fake images detectable? Understanding properties that generalize	Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola	PDF	N/A
Embedding Propagation: Smoother Manifold for Few-Shot Classification	Pau Rodríguez, Issam Laradji, Alexandre Drouin, Alexandre Lacoste	PDF	N/A
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis	Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges	PDF	N/A
High-Fidelity Synthesis with Disentangled Representation	Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee	PDF	N/A
PL₁P - Point-line Minimal Problems under Partial Visibility in Three Views	Timothy Duff, Kathlén Kohn, Anton Leykin, Tomas Pajdla	PDF	N/A
Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification	Ke Han, Yan Huang, Zerui Chen, Liang Wang, Tieniu Tan	PDF	N/A
Learning Canonical Representations for Scene Graph to Image Generation	Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson	PDF	N/A
Adversarial Robustness on In- and Out-Distribution Improves Explainability	Maximilian Augustin, Alexander Meinke, Matthias Hein	PDF	N/A
Deformable Style Transfer	Sunnie S. Y. Kim, Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich	PDF	N/A
Aligning Videos in Space and Time	Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta	PDF	N/A
Neural Wireframe Renderer: Learning Wireframe to Image Translations	Yuan Xue, Zihan Zhou, Xiaolei Huang	PDF	N/A
RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax	Xiao Zhang, Rui Zhao, Yu Qiao, Hongsheng Li	PDF	N/A
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction	Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun	PDF	N/A
Determining the Relevance of Features for Deep Neural Networks	Christian Reimers, Jakob Runge, Joachim Denzler	PDF	N/A
Weakly Supervised Semantic Segmentation with Boundary Exploration	Liyi Chen, Weiwei Wu, Chenchen Fu, Xiao Han, Yuntao Zhang	PDF	N/A
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation	Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao Zhang	PDF	N/A
DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild	Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Vincent Leroy, Grégory Rogez	PDF	N/A
Multi-view adaptive graph convolutions for graph classification	Nikolas Adaloglou, Nicholas Vretos, Petros Daras	PDF	N/A
Instance Adaptive Self-Training for Unsupervised Domain Adaptation	Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang	PDF	N/A
Weight Decay Scheduling and Knowledge Distillation for Active Learning	Juseung Yun, Byungjoo Kim, Junmo Kim	PDF	N/A
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs	Hai Victor Habi, Roy H. Jennings, Arnon Netzer	PDF	N/A
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning	Christopher Zach, Huu Le	PDF	N/A
Geometry Constrained Weakly Supervised Object Localization	Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen, Yicong Zhou, Jinming Duan	PDF	N/A
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning	Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig	PDF	N/A
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering	Yaniv Benny, Lior Wolf	PDF	N/A
Mining self-similarity: Label super-resolution with epitomic representations	Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic	PDF	N/A
AE-OT-GAN: Training GANs from data specific latent distribution	Dongsheng An, Yang Guo, Min Zhang, Xin Qi, Na Lei, Xianfang Gu	PDF	N/A
Null-sampling for Interpretable and Fair Representations	Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto	PDF	N/A
Guiding Monocular Depth Estimation Using Depth-Attention Volume	Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä	PDF	N/A
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping	Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki	PDF	N/A
Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer	Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang	PDF	N/A
BézierSketch: A generative model for scalable vector sketches	Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song	PDF	N/A
Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation	Zeqi Li, Ruowei Jiang,, Parham Aarabi	PDF	N/A
Domain Adaptation Through Task Distillation	Brady Zhou, Nimit Kalra, Philipp Krähenbühl	PDF	N/A
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning	Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille	PDF	N/A
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning	Yu Liu, Sarah Parisot, Gregory Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars	PDF	N/A
Extending and Analyzing Self-Supervised Learning Across Domains	Bram Wallace, Bharath Hariharan	PDF	N/A
Multi-Source Open-Set Deep Adversarial Domain Adaptation	Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri	PDF	N/A
Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection	Wen-Hsuan Chu, Kris M. Kitani	PDF	N/A
LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities	Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-Chun Zhu	PDF	N/A
Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images	Matthew Purri, Kristin Dana	PDF	N/A
Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion	José Pedro Iglesias, Carl Olsson, Marcus Valtonen Örnhag	PDF	N/A
Proposal-based Video Completion	Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing	PDF	N/A
HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation	Haifeng Xia, Zhengming Ding	PDF	N/A
Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding	Kaihao Zhang, Wenhan Luo, Wenqi Ren, Jingwen Wang Fang Zhao, Lin Ma , Hongdong Li	PDF	N/A
DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks	Hassan Dbouk, Hetul Sanghvi, Mahesh Mehendale, Naresh Shanbhag	PDF	N/A
All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling	Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Juwei Lu, Jin Tang , Konstantinos N Plataniotis	PDF	N/A
A Broader Study of Cross-Domain Few-Shot Learning	Yunhui Guo, Noel C. Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogerio Feris	PDF	N/A
Practical Poisoning Attacks on Neural Networks	Junfeng Guo, Cong Liu	PDF	N/A
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification	Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Eric Granger	PDF	N/A
Learn distributed GAN with Temporary Discriminators	Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris Metaxas	PDF	N/A
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems	Leo F Isikdogan, Bhavin V Nayak, Chyuan-Tyng Wu, Joao Peralta Moreira , Sushma Rao, Gilad Michael	PDF	N/A
Improving Adversarial Robustness by Enforcing Local and Global Compactness	Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung	PDF	N/A
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation	Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, and Pascal Fua	PDF	N/A
Channel selection using Gumbel Softmax	Charles Herrmann, Richard Strong Bowen, Ramin Zabih	PDF	N/A
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification	Dripta S. Raychaudhuri, Amit K. Roy-Chowdhury	PDF	N/A
An Efficient Training Framework for Reversible Neural Architectures	Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan	PDF	N/A
Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation	Viveka Kulharia, Siddhartha Chandra, Amit Agrawal, Philip Torr, Ambrish Tyagi	PDF	N/A
FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras	Yicheng Wu, Vivek Boominathan, Xuan Zhao, Jacob T. Robinson, Hiroshi Kawasaki, Aswin Sankaranarayanan, Ashok Veeraraghavan	PDF	N/A
One-Pixel Signature: Characterizing CNN Models for Backdoor Detection	Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu	PDF	N/A
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning	Linchao Zhu, Sercan . Arık, Yi Yang, Tomas Pfister	PDF	N/A
Structure-Aware Generation Network for Recipe Generation from Images	Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao	PDF	N/A
A Simple and Effective Framework for Pairwise Deep Metric Learning	Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang	PDF	N/A
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner	Eugene Lee, Evan Chen, Chen-Yi Lee	PDF	N/A
A Recurrent Transformer Network for Novel View Action Synthesis	Kara Marie Schatz, Erik Quintanilla, Shruti Vyas, Yogesh S Rawat	PDF	N/A
Multi-view Action Recognition using Cross-view Video Prediction	Shruti Vyas, Yogesh S Rawat, Mubarak Shah	PDF	N/A
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation	Mingmin Zhen, Shiwei Li, Lei Zhou, Jiaxiang Shang, Haoan Feng, Tian Fang, Long Quan	PDF	N/A
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction	Sriram N N, Buyu Liu, Francesco Pittaluga, Manmohan Chandraker	PDF	N/A
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation	Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang	PDF	N/A
Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts	Chi-Chong Wong, Chi-Man Vong	PDF	N/A
Attributional Robustness Training using Input-Gradient Spatial Alignment	Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N Balasubramanian, Balaji Krishnamurthy	PDF	N/A
Reducing the Sim-to-Real Gap for Event Cameras	Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert Mahony	PDF	N/A
Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning	Liangliang Ren, Yangyang Song, Jiwen Lu, Jie Zhou	PDF	N/A
Learning Data Augmentation Strategies for Object Detection	Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le	PDF	N/A
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search	Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan	PDF	N/A
A Closer Look at Generalisation in RAVEN	Steven Spratley, Krista Ehinger, Tim Miller	PDF	N/A
Supervised Edge Attention Network for Accurate Image Instance Segmentation	Xier Chen, Yanchao Lian, Licheng Jiao, Haoran Wang, YanJie Gao, Shi Lingling	PDF	N/A
Discriminative Partial Domain Adversarial Network	Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung	PDF	N/A
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model	John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards , Philip Christensen, Suren Jayasuriya	PDF	N/A
Deep Cross-species Feature Learning for Animal Face Recognition via Residual Interspecies Equivariant Network	Xiao Shi, Chenxue Yang, Xue Xia, Xiujuan Chai	PDF	N/A
Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes	Liang Liao, Jing Xiao, Zheng Wang, Chia-Wen Lin, Shin’ichi Satoh	PDF	N/A
Sound2Sight: Generating Visual Dynamics from Sound and Context	Moitreya Chatterjee, Anoop Cherian	PDF	N/A
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection	Jin Hyeok Yoo, Yecheol Kim, Jisong Kim, Jun Won Choi	PDF	N/A
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models	Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz	PDF	N/A
Fast Adaptation to Super-Resolution Networks via Meta-Learning	Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim	PDF	N/A
TP-LSD: Tri-Points Based Line Segment Detector	Siyu Huang, Fangbo Qin, Pengfei Xiong, Ning Ding, Yijia He, Xiao Liu	PDF	N/A
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation	Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka	PDF	N/A
An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification	Zilong Ji, Xiaolong Zou, Xiaohan Lin, Xiao Liu, Tiejun Huang, Si Wu	PDF	N/A
Toward Fine-grained Facial Expression Manipulation	Jun Ling, Han Xue, Li Song, Shuhui Yang, Rong Xie, Xiao Gu	PDF	N/A
Adaptive Object Detection with Dual Multi-Label Prediction	Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye	PDF	N/A
Table Structure Recognition using Top-Down and Bottom-Up Cues	Sachin Raja, Ajoy Mondal, C V Jawahar	PDF	N/A
Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder	Mingyu Yin, Li Sun, Qingli Li	PDF	N/A
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments	Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, Stefan Lee	PDF	N/A
Boundary Content Graph Neural Network for Temporal Action Proposal Generation	Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, Junhui Liu	PDF	N/A
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition	Yunhao Ge, Jiaping Zhao, Laurent Itti	PDF	N/A
VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval	Minuk Ma, Sunjae Yoon, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo	PDF	N/A
Attention-Based Query Expansion Learning	Albert Gordo, Filip Radenovic, Tamara Berg	PDF	N/A
Interpretable Foreground Object Search As Knowledge Distillation	Boren Li, Po-Yu Zhuang, Jian Gu, Mingyang Li, Ping Tan	PDF	N/A
Improving Knowledge Distillation via Category Structure	Zailiang Chen, Xianxian Zheng, Hailan Shen, Ziyang Zeng, Yukun Zhou, Rongchang Zhao	PDF	N/A
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images	Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton	PDF	N/A
Attentive Prototype Few-shot Learning with Capsule Network-based Embedding	Fangyu Wu, Jeremy S.Smith, Wenjin Lu, Chaoyi Pang, Bailing Zhang	PDF	N/A
Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances	Aditya Arun, C.V. Jawahar, M. Pawan Kumar	PDF	N/A
DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving	Yao Zhou, Guowei Wan, Shenhua Hou, Li Yu, Gang Wang, Xiaofei Rui, Shiyu Song	PDF	N/A
Visual-Relation Conscious Image Generation from Structured-Text	Duc Minh Vo, Akihiro Sugimoto	PDF	N/A
Patch-wise Attack for Fooling Deep Neural Network	Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen	PDF	N/A
Feature Pyramid Transformer	Dong Zhang, Hanwang Zhang, Jinhui Tang, Meng Wang, Xiansheng Hua, Qianru Sun	PDF	N/A
MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module	Jiabin Xing, Zhi Qi, Jiying Dong, Jiaxuan Cai, Hao Liu	PDF	N/A
Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes	Lingxiao He, Wu Liu	PDF	N/A
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection	Miao Zhang, Sun Xiao Fei, Jie Liu, Shuang Xu, Yongri Piao, Huchuan Lu	PDF	N/A
Explaining Image Classifiers using Statistical Fault Localization	Youcheng Sun, Hana Chockler, Xiaowei Huang, Daniel Kroening	PDF	N/A
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers	Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius	PDF	N/A
Learning Video Representations by Transforming Time	Simon Jenni, Givi Meishvili, Paolo Favaro	PDF	N/A
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation	Madhu Vankadari, Sourav Garg, Anima Majumder, Swagat Kumar, Ardhendu Behera	PDF	N/A
Variational Connectionist Temporal Classification	Linlin Chao, Jingdong Chen, Wei Chu	PDF	N/A
End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation	Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason Traish, Chen Deng, Sam Ferguson, Richard Yi Da Xu	PDF	N/A
Orderly Disorder in Point Cloud Domain	Morteza Ghahremani, Bernard Tiddeman, Yonghuai Liu, and Ardhendu Behera	PDF	N/A
Deep Decomposition Learning for Inverse Imaging Problems	Dongdong Chen, Mike E. Davies	PDF	N/A
FLOT: Scene Flow on Point Clouds guided by Optimal Transport	Gilles Puy, Alexandre Boulch, Renaud Marlet	PDF	N/A
Accurate Reconstruction of Oriented 3D Points using Affine Correspondences	Carolina Raposo, Joao P. Barreto	PDF	N/A
Volumetric Transformer Networks	Seungryong Kim, Sabine Ssstrunk, Mathieu Salzmann	PDF	N/A
360(o) Camera Alignment via Segmentation	Benjamin Davidson, Mohsan S. Alvi, João F. Henriques	PDF	N/A
A Novel Line Integral Transform for 2D Affine-Invariant Shape Retrieval	Bin Wang, Yongsheng Gao	PDF	N/A
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks	Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour	PDF	N/A
Guided Semantic Flow	Sangryul Jeon, Dongbo Min, Seungryong Kim, Jihwan Choe, Kwanghoon Sohn	PDF	N/A
Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentation	Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy	PDF	N/A
Measuring the Importance of Temporal Features in Video Saliency	Matthias Tangemann, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge	PDF	N/A
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution	Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han	PDF	N/A
Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images	Leonardo Citraro, Mateusz Koziński, Pascal Fua	PDF	N/A
Online Continual Learning under Extreme Memory Constraints	Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci	PDF	N/A
Learning to Cluster under Domain Shift	Willi Menapace, Stéphane Lathuilière, Elisa Ricci	PDF	N/A
Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds	Yueru Li, Shuyu Cheng, Hang Su, Jun Zhu	PDF	N/A
Improving Optical Flow on a Pyramid Level	Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock, Peter Kontschieder	PDF	N/A
Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations	Sungheon Park, Minsik Lee, Nojun Kwak	PDF	N/A
Learning to Learn Parameterized Classification Networks for Scalable Input Images	Duo Li, Anbang Yao, Qifeng Chen	PDF	N/A
Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction	Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich	PDF	N/A
Simplicial Complex based Point Correspondence between Images warped onto Manifolds	Charu Sharma, Manohar Kaul	PDF	N/A
Representation Learning on Visual-Symbolic Graphs for Video Understanding	Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal	PDF	N/A
Distance-Normalized Unified Representation for Monocular 3D Object Detection	Xuepeng Shi, Zhixiang Chen, Tae-Kyun Kim	PDF	N/A
Sequential Deformation for Accurate Scene Text Detection	Shanyu Xiao, Liangrui Peng, Ruijie Yan, Keyu An, Gang Yao, Jaesik Min	PDF	N/A
Where to Explore Next? ExHistCNN for History-aware Autonomous 3D Exploration	Yiming Wang, Alessio Del Bue	PDF	N/A
Semi-Supervised Segmentation based on Error-Correcting Supervision	Robert Mendel, Luis Antonio de Souza Jr, David Rauber, João Paulo Papa, Christoph Palm	PDF	N/A
Quantum-soft QUBO Suppression for Accurate Object Detection	Junde Li, Swaroop Ghosh	PDF	N/A
Label-similarity Curriculum Learning	Ürün Dogan, Aniket Anand Deshmukh, Marcin Bronislaw Machura, Christian Igel	PDF	N/A
Recurrent Image Annotation With Explicit Inter-Label Dependencies	Ayushi Dutta, Yashaswi Verma, C.V. Jawahar	PDF	N/A
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution	Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu , Zongben Xu	PDF	N/A
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data	Tyler Zhu, Per Karlsson, Christoph Bregler	PDF	N/A
ByeGlassesGAN: Identity Preserving Eyeglasses Removal for Face Images	Yu-Hui Lee, Shang-Hong Lai	PDF	N/A
Differentiable Joint Pruning and Quantization for Hardware Efficiency	Ying Wang, Yadong Lu, Tijmen Blankevoort	PDF	N/A
Learning to Generate Customized Dynamic 3D Facial Expressions	Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou	PDF	N/A
LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors	Jan Brejcha, Michal Lukáč, Yannick Hold-Geoffroy, Oliver Wang, Martin Čadík	PDF	N/A
Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration	Xin Li, Xin Jin, Jianxin Lin, Sen Liu, Yaojun Wu, Tao Yu, Wei Zhou , Zhibo Chen	PDF	N/A
Jointly De-biasing Face Recognition and Demographic Attribute Estimation	Sixue Gong, Xiaoming Liu, Anil K. Jain	PDF	N/A
Regularized Loss for Weakly Supervised Single Class Semantic Segmentation	Olga Veksler	PDF	N/A
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks	Chankyu Lee, Adarsh Kumar Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy	PDF	N/A
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations	Aditya Golatkar, Alessandro Achille, Stefano Soatto	PDF	N/A
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations	Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy	PDF	N/A
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks	Baris Gecer, Alexandros Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, Stefanos Zafeiriou	PDF	N/A
Learning to Learn Words from Visual Scenes	Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick	PDF	N/A
On Transferability of Histological Tissue Labels in Computational Pathology	Mahdi S. Hosseini, Lyndon Chan, Weimin Huang, Yichen Wang, Danial Hasan, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis	PDF	N/A
Learning Actionness via Long-range Temporal Order Verification	Dimitri Zhukov, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic	PDF	N/A
Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays	Laurie Bose, Piotr Dudek, Jianing Chen, Stephen J. Carey, Walterio W. Mayol-Cuevas	PDF	N/A
Character Region Attention For Text Spotting	Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee , Daehyun Nam, Hwalsuk Lee	PDF	N/A
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network	Anh-Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov , Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan Oseledets, Andrzej Cichocki	PDF	N/A
Dual Mixup Regularized Learning for Adversarial Domain Adaptation	Yuan Wu, Diana Inkpen, Ahmed El-Roby	PDF	N/A
Robust and On-the-fly Dataset Denoising for Image Classification	Jiaming Song, Yann Dauphin, Michael Auli, Tengyu Ma	PDF	N/A
Imaging Behind Occluders Using Two-Bounce Light	Connor Henley, Tomohiro Maeda, Tristan Swedish, Ramesh Raskar	PDF	N/A
Improving Object Detection with Selective Self-Supervised Self-Training	Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong	PDF	N/A
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction	Rohan Chabra, Jan E. Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard Newcombe	PDF	N/A
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning	Aditya Sanghi	PDF	N/A
Adversarial Data Augmentation via Deformation Statistics	Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer	PDF	N/A
Neural Predictor for Neural Architecture Search	Wei Wen, Hanxiao Liu, Yiran Chen, Hai Li, Gabriel Bender, Pieter-Jan Kindermans	PDF	N/A
Learning Permutation Invariant Representations using Memory Networks	Shivam Kalra, Mohammed Adnan, Graham Taylor, H.R. Tizhoosh	PDF	N/A
Feature Space Augmentation for Long-Tailed Data	Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling	PDF	N/A
Laying the Foundations of Deep Long-Term Crowd Flow Prediction	Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia	PDF	N/A
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning	Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu	PDF	N/A
Fairness by Learning Orthogonal Disentangled Representations	Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni	PDF	N/A
Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation	Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert	PDF	N/A
On Diverse Asynchronous Activity Anticipation	He Zhao, Richard P. Wildes	PDF	N/A
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery	Razieh Kaviani Baghbaderani, Ying Qu, Hairong Qi, Craig Stutts	PDF	N/A
Structure-Aware Human-Action Generation	Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen	PDF	N/A
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition	Niamul Quader, Juwei Lu, Peng Dai, Wei Li	PDF	N/A
S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data	Bin Cheng, Inderjot Singh Saggu, Raunak Shah, Gaurav Bansal, Dinesh Bharadia	PDF	N/A
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning	Maunil R Vyas, Hemanth Venkateswara, Sethuraman Panchanathan	PDF	N/A
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks	Niamul Quader, Md Mafijul Islam Bhuiyan, Juwei Lu, Peng Dai, Wei Li	PDF	N/A
UNITER: UNiversal Image-TExt Representation Learning	Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu	PDF	N/A
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks	Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao	PDF	N/A
Improving Face Recognition from Hard Samples via Distribution Distillation Loss	Yuge Huang, Pengcheng Shen, Ying Tai, Shaoxin Li, Xiaoming Liu, Jilin Li, Feiyue Huang, Rongrong Ji	PDF	N/A
Extract and Merge: Superpixel Segmentation with Regional Attributes	Jianqiao An, Yucheng Shi, Yahong Han, Meijun Sun, Qi Tian	PDF	N/A
Spatial-Adaptive Network for Single Image Denoising	Meng Chang, Qi Li, Huajun Feng, Zhihai Xu	PDF	N/A
Physics-based Feature Dehazing Networks	Jiangxin Dong, Jinshan Pan	PDF	N/A
Learning Surrogates via Deep Embedding	Yash Patel, Tomáš Hodaň, Jiří Matas	PDF	N/A
An Asymmetric Modeling for Action Assessment	Jibin Gao, Wei-Shi Zheng, Jia-Hui Pan, Chengying Gao, Yaowei Wang, Wei Zeng, Jianhuang Lai	PDF	N/A
High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation	Wenyu Sun, Chen Tang, Weigui Li, Zhuqing Yuan, Huazhong Yang, Yongpan Liu	PDF	N/A
Instance-Aware Embedding for Point Cloud Instance Segmentation	Tong He, Yifan Liu, Chunhua Shen, Xinlong Wang, Changming Sun	PDF	N/A
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples	Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu	PDF	N/A
Manifold Projection for Adversarial Defense on Face Recognition	Jianli Zhou, Chao Liang, Jun Chen	PDF	N/A
Weakly Supervised Learning with Side Information for Noisy Labeled Images	Lele Cheng, Xiangzeng Zhou, Liming Zhao, Dangwei Li, Hong Shang, Yun Zheng, Pan Pan, Yinghui Xu	PDF	N/A
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision	Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu , Zhiwei Yang	PDF	N/A
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection	Rui Fan, Hengli Wang, Peide Cai, Ming Liu	PDF	N/A
Modeling the Space of Point Landmark Constrained Diffeomorphisms	Chengfeng Wen, Yang Guo, Xianfeng Gu	PDF	N/A
PieNet: Personalized Image Enhancement Network	Han-Ul Kim, Young Jun Koh, Chang-Su Kim	PDF	N/A
Rotational Outlier Identification in Pose Graphs Using Dual Decomposition	Arman Karimian, Ziqi Yang, Roberto Tron	PDF	N/A
Speech-driven Facial Animation using Cascaded GANs for Learning of Motion and Texture	Dipanjan Das, Sandika Biswas, Sanjana Sinha, Brojeshwar Bhowmick	PDF	N/A
Solving Phase Retrieval with a Learned Reference	Rakib Hyder, Zikui Cai, M. Salman Asif	PDF	N/A
Dual Grid Net: Hand Mesh Vertex Regression from Single Depth Maps	Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao	PDF	N/A
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry	Ling, Yonggen and Bao, Linchao and Jie, Zequn and Zhu, Fengming and Li, Ziyang and Tang, Shanmin and Liu, Yongsheng and Liu, Wei and Zhang, Tong	PDF	N/A
Pose Partition Networks for Multi-Person Pose Estimation	Nie, Xuecheng and Feng, Jiashi and Xing, Junliang and Yan, Shuicheng	PDF	N/A
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition	Zhan, Xiaohang and Liu, Ziwei and Yan, Junjie and Lin, Dahua and Change Loy, Chen	PDF	N/A
Open-World Stereo Video Matching with Deep RNN	Zhong, Yiran and Li, Hongdong and Dai, Yuchao	PDF	N/A
Deep Cross-Modal Projection Learning for Image-Text Matching	Zhang, Ying and Lu, Huchuan	PDF	N/A
Gray-box Adversarial Training	Vivek, B. S. and Reddy Mopuri, Konda and Venkatesh Babu, R.	PDF	N/A
Multi-Class Model Fitting by Energy Minimization and Mode-Seeking	Barath, Daniel and Matas, Jiri	PDF	N/A
MRF Optimization with Separable Convex Prior on Partially Ordered Labels	Domokos, Csaba and Schmidt, Frank R. and Cremers, Daniel	PDF	N/A
VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions	Li, Qing and Tao, Qingyi and Joty, Shafiq and Cai, Jianfei and Luo, Jiebo	PDF	N/A
Context Refinement for Object Detection	Chen, Zhe and Huang, Shaoli and Tao, Dacheng	PDF	N/A
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network	Cheng, Xinjing and Wang, Peng and Yang, Ruigang	PDF	N/A
Zero-Annotation Object Detection with Web Knowledge Transfer	Tao, Qingyi and Yang, Hao and Cai, Jianfei	PDF	N/A
Fast Light Field Reconstruction With Deep Coarse-To-Fine Modeling of Spatial-Angular Clues	Wing Fung Yeung, Henry and Hou, Junhui and Chen, Jie and Ying Chung, Yuk and Chen, Xiaoming	PDF	N/A
AGIL: Learning Attention from Human for Visuomotor Tasks	Zhang, Ruohan and Liu, Zhuode and Zhang, Luxin and Whritner, Jake A. and Muller, Karl S. and Hayhoe, Mary M. and Ballard, Dana H.	PDF	N/A
Physical Primitive Decomposition	Liu, Zhijian and Freeman, William T. and Tenenbaum, Joshua B. and Wu, Jiajun	PDF	N/A
Deep Expander Networks: Efficient Deep Networks from Graph Theory	Prabhu, Ameya and Varma, Girish and Namboodiri, Anoop	PDF	N/A
Real-Time MDNet	Jung, Ilchae and Son, Jeany and Baek, Mooyeol and Han, Bohyung	PDF	N/A
The Mutex Watershed: Efficient, Parameter-Free Image Partitioning	Wolf, Steffen and Pape, Constantin and Bailoni, Alberto and Rahaman, Nasim and Kreshuk, Anna and Kothe, Ullrich and Hamprecht, FredA.	PDF	N/A
MVSNet: Depth Inference for Unstructured Multi-view Stereo	Yao, Yao and Luo, Zixin and Li, Shiwei and Fang, Tian and Quan, Long	PDF	N/A
Audio-Visual Event Localization in Unconstrained Videos	Tian, Yapeng and Shi, Jing and Li, Bochen and Duan, Zhiyao and Xu, Chenliang	PDF	N/A
Attend and Rectify: a gated attention mechanism for fine-grained recovery	Rodriguez, Pau and Gonfaus, Josep M. and Cucurull, Guillem and XavierRoca, F. and Gonzalez, Jordi	PDF	N/A
PyramidBox: A Context-assisted Single Shot Face Detector	Tang, Xu and Du, Daniel K. and He, Zeqiang and Liu, Jingtuo	PDF	N/A
RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments	Fischer, Tobias and Jin Chang, Hyung and Demiris, Yiannis	PDF	N/A
Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias	Panda, Rameswar and Zhang, Jianming and Li, Haoxiang and Lee, Joon-Young and Lu, Xin and Roy-Chowdhury, Amit K.	PDF	N/A
Highly-Economized Multi-View Binary Compression for Scalable Image Clustering	Zhang, Zheng and Liu, Li and Qin, Jie and Zhu, Fan and Shen, Fumin and Xu, Yong and Shao, Ling and Tao Shen, Heng	PDF	N/A
Deep Kalman Filtering Network for Video Compression Artifact Reduction	Lu, Guo and Ouyang, Wanli and Xu, Dong and Zhang, Xiaoyun and Gao, Zhiyong and Sun, Ming-Ting	PDF	N/A
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model	Lathuiliere, Stephane and Mesejo, Pablo and Alameda-Pineda, Xavier and Horaud, Radu	PDF	N/A
ISNN: Impact Sound Neural Network for Audio-Visual Object Classification	Sterling, Auston and Wilson, Justin and Lowe, Sam and Lin, Ming C.	PDF	N/A
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval	Chen, Jiaxin and Fang, Yi	PDF	N/A
Learning to Blend Photos	Hung, Wei-Chih and Zhang, Jianming and Shen, Xiaohui and Lin, Zhe and Lee, Joon-Young and Yang, Ming-Hsuan	PDF	N/A
Second-order Democratic Aggregation	Lin, Tsung-Yu and Maji, Subhransu and Koniusz, Piotr	PDF	N/A
Recurrent Fusion Network for Image captioning	Jiang, Wenhao and Ma, Lin and Jiang, Yu-Gang and Liu, Wei and Zhang, Tong	PDF	N/A
Grounding Visual Explanations	Anne Hendricks, Lisa and Hu, Ronghang and Darrell, Trevor and Akata, Zeynep	PDF	N/A
A Dataset of Flash and Ambient Illumination Pairs from the Crowd	Aksoy, Yagiz and Kim, Changil and Kellnhofer, Petr and Paris, Sylvain and Elgharib, Mohamed and Pollefeys, Marc and Matusik, Wojciech	PDF	N/A
Deep Continuous Fusion for Multi-Sensor 3D Object Detection	Liang, Ming and Yang, Bin and Wang, Shenlong and Urtasun, Raquel	PDF	N/A
BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization	Wu, Yue and Abd-Almageed, Wael and Natarajan, Prem	PDF	N/A
Parallel Feature Pyramid Network for Object Detection	Kim, Seung-Wook and Kook, Hyong-Keun and Sun, Jee-Young and Kang, Mun-Cheon and Ko, Sung-Jea	PDF	N/A
Learning Region Features for Object Detection	Gu, Jiayuan and Hu, Han and Wang, Liwei and Wei, Yichen and Dai, Jifeng	PDF	N/A
AMC: AutoML for Model Compression and Acceleration on Mobile Devices	He, Yihui and Lin, Ji and Liu, Zhijian and Wang, Hanrui and Li, Li-Jia and Han, Song	PDF	N/A
PSDF Fusion: Probabilistic Signed Distance Function for On-the-fly 3D Data Fusion and Scene Reconstruction	Dong, Wei and Wang, Qiuyuan and Wang, Xin and Zha, Hongbin	PDF	N/A
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation	Zhu, Xinge and Zhou, Hui and Yang, Ceyuan and Shi, Jianping and Lin, Dahua	PDF	N/A
Switchable Temporal Propagation Network	Liu, Sifei and Zhong, Guangyu and De Mello, Shalini and Gu, Jinwei and Jampani, Varun and Yang, Ming-Hsuan and Kautz, Jan	PDF	N/A
Sampling Algebraic Varieties for Robust Camera Autocalibration	Pani Paudel, Danda and Van Gool, Luc	PDF	N/A
Image Reassembly Combining Deep Learning and Shortest Path Problem	Paumard, Marie-Morgane and Picard, David and Tabia, Hedi	PDF	N/A
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes	He, Yang and Schiele, Bernt and Fritz, Mario	PDF	N/A
Incremental Non-Rigid Structure-from-Motion with Unknown Focal Length	Probst, Thomas and Pani Paudel, Danda and Chhatkuli, Ajad and Van Gool, Luc	PDF	N/A
PS-FCN: A Flexible Learning Framework for Photometric Stereo	Chen, Guanying and Han, Kai and Wong, Kwan-Yee K.	PDF	N/A
Instance-level Human Parsing via Part Grouping Network	Gong, Ke and Liang, Xiaodan and Li, Yicheng and Chen, Yimin and Yang, Ming and Lin, Liang	PDF	N/A
Normalized Blind Deconvolution	Jin, Meiguang and Roth, Stefan and Favaro, Paolo	PDF	N/A
Constrained Optimization Based Low-Rank Approximation of Deep Neural Networks	Li, Chong and Richard Shi, C. J.	PDF	N/A
Dense Pose Transfer	Neverova, Natalia and Alp Guler, Riza and Kokkinos, Iasonas	PDF	N/A
RCAA: Relational Context-Aware Agents for Person Search	Chang, Xiaojun and Huang, Po-Yao and Shen, Yi-Dong and Liang, Xiaodan and Yang, Yi and Hauptmann, Alexander G.	PDF	N/A
Deep Discriminative Model for Video Classification	Tavakolian, Mohammad and Hadid, Abdenour	PDF	N/A
DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition	Engin, Melih and Wang, Lei and Zhou, Luping and Liu, Xinwang	PDF	N/A
Deep Pictorial Gaze Estimation	Park, Seonwook and Spurr, Adrian and Hilliges, Otmar	PDF	N/A
CTAP: Complementary Temporal Action Proposal Generation	Gao, Jiyang and Chen, Kan and Nevatia, Ram	PDF	N/A
Neural Network Encapsulation	Li, Hongyang and Guo, Xiaoyang and DaiWanli Ouyang, Bo and Wang, Xiaogang	PDF	N/A
Recovering 3D Planes from a Single Image via Convolutional Neural Networks	Yang, Fengting and Zhou, Zihan	PDF	N/A
Dist-GAN: An Improved GAN using Distance Constraints	Tran, Ngoc-Trung and Bui, Tuan-Anh and Cheung, Ngai-Man	PDF	N/A
Retrospective Encoders for Video Summarization	Zhang, Ke and Grauman, Kristen and Sha, Fei	PDF	N/A
Tracking Emerges by Colorizing Videos	Vondrick, Carl and Shrivastava, Abhinav and Fathi, Alireza and Guadarrama, Sergio and Murphy, Kevin	PDF	N/A
Task-Aware Image Downscaling	Kim, Heewon and Choi, Myungsub and Lim, Bee and Mu Lee, Kyoung	PDF	N/A
Product Quantization Network for Fast Image Retrieval	Yu, Tan and Yuan, Junsong and Fang, Chen and Jin, Hailin	PDF	N/A
Supervising the new with the old: learning SFM from SFM	Klodt, Maria and Vedaldi, Andrea	PDF	N/A
Towards End-to-End License Plate Detection and Recognition: A Large Dataset and Baseline	Xu, Zhenbo and Yang, Wei and Meng, Ajin and Lu, Nanxue and Huang, Huan and Ying, Changchun and Huang, Liusheng	PDF	N/A
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions	Reddy Mopuri, Konda and Krishna Uppala, Phani and Venkatesh Babu, R.	PDF	N/A
Separating Reflection and Transmission Images in the Wild	Wieschollek, Patrick and Gallo, Orazio and Gu, Jinwei and Kautz, Jan	PDF	N/A
Hard-Aware Point-to-Set Deep Metric for Person Re-identification	Yu, Rui and Dou, Zhiyong and Bai, Song and Zhang, Zhaoxiang and Xu, Yongchao and Bai, Xiang	PDF	N/A
Cross-Modal and Hierarchical Modeling of Video and Text	Zhang, Bowen and Hu, Hexiang and Sha, Fei	PDF	N/A
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation	Zhou, Xingyi and Karpur, Arjun and Luo, Linjie and Huang, Qixing	PDF	N/A
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization	Jakubovitz, Daniel and Giryes, Raja	PDF	N/A
RelocNet: Continuous Metric Learning Relocalisation using Neural Nets	Balntas, Vassileios and Li, Shuda and Prisacariu, Victor	PDF	N/A
Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification	Wang, Cheng and Zhang, Qian and Huang, Chang and Liu, Wenyu and Wang, Xinggang	PDF	N/A
Recurrent Tubelet Proposal and Recognition Networks for Action Detection	Li, Dong and Qiu, Zhaofan and Dai, Qi and Yao, Ting and Mei, Tao	PDF	N/A
Estimating Depth from RGB and Sparse Sensing	Chen, Zhao and Badrinarayanan, Vijay and Drozdov, Gilad and Rabinovich, Andrew	PDF	N/A
Folded Recurrent Neural Networks for Future Video Prediction	Oliu, Marc and Selva, Javier and Escalera, Sergio	PDF	N/A
Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image	Huang, Siyuan and Qi, Siyuan and Zhu, Yixin and Xiao, Yinxue and Xu, Yuanlu and Zhu, Song-Chun	PDF	N/A
Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation	Zhang, Zhenyu and Cui, Zhen and Xu, Chunyan and Jie, Zequn and Li, Xiang and Yang, Jian	PDF	N/A
A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding	Hadji, Isma and Wildes, Richard P.	PDF	N/A
Compositing-aware Image Search	Zhao, Hengshuang and Shen, Xiaohui and Lin, Zhe and Sunkavalli, Kalyan and Price, Brian and Jia, Jiaya	PDF	N/A
Extreme Network Compression via Filter Group Approximation	Peng, Bo and Tan, Wenming and Li, Zheyang and Zhang, Shun and Xie, Di and Pu, Shiliang	PDF	N/A
Audio-Visual Scene Analysis with Self-Supervised Multisensory Features	Owens, Andrew and Efros, Alexei A.	PDF	N/A
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation	Wang, Xin and Xiong, Wenhan and Wang, Hongmin and Yang Wang, William	PDF	N/A
Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation	Maurer, Daniel and Marniok, Nico and Goldluecke, Bastian and Bruhn, Andres	PDF	N/A
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design	Ma, Ningning and Zhang, Xiangyu and Zheng, Hai-Tao and Sun, Jian	PDF	N/A
Attention-GAN for Object Transfiguration in Wild Images	Chen, Xinyuan and Xu, Chang and Yang, Xiaokang and Tao, Dacheng	PDF	N/A
Joint Representation and Truncated Inference Learning for Correlation Filter based Tracking	Yao, Yingjie and Wu, Xiaohe and Zhang, Lei and Shan, Shiguang and Zuo, Wangmeng	PDF	N/A
Lambda Twist: An Accurate Fast Robust Perspective Three Point (P3P) Solver	Persson, Mikael and Nordberg, Klas	PDF	N/A
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth Prediction	Khamis, Sameh and Fanello, Sean and Rhemann, Christoph and Kowdle, Adarsh and Valentin, Julien and Izadi, Shahram	PDF	N/A
Robust Optical Flow in Rainy Scenes	Li, Ruoteng and Tan, Robby T. and Cheong, Loong-Fah	PDF	N/A
Scale Aggregation Network for Accurate and Efficient Crowd Counting	Cao, Xinkun and Wang, Zhipeng and Zhao, Yanyun and Su, Fei	PDF	N/A
Deep Feature Factorization For Concept Discovery	Collins, Edo and Achanta, Radhakrishna and Susstrunk, Sabine	PDF	N/A
Object-centered image stitching	Herrmann, Charles and Wang, Chen and Strong Bowen, Richard and Keyder, Emil and Zabih, Ramin	PDF	N/A
A Style-Aware Content Loss for Real-time HD Style Transfer	Sanakoyeu, Artsiom and Kotovenko, Dmytro and Lang, Sabine and Ommer, Bjorn	PDF	N/A
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining	Li, Xia and Wu, Jianlong and Lin, Zhouchen and Liu, Hong and Zha, Hongbin	PDF	N/A
Acquisition of Localization Confidence for Accurate Object Detection	Jiang, Borui and Luo, Ruixuan and Mao, Jiayuan and Xiao, Tete and Jiang, Yuning	PDF	N/A
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network	Feng, Yao and Wu, Fan and Shao, Xiaohu and Wang, Yanfeng and Zhou, Xi	PDF	N/A
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground	Fan, Deng-Ping and Cheng, Ming-Ming and Liu, Jiang-Jiang and Gao, Shang-Hua and Hou, Qibin and Borji, Ali	PDF	N/A
Multimodal Unsupervised Image-to-image Translation	Huang, Xun and Liu, Ming-Yu and Belongie, Serge and Kautz, Jan	PDF	N/A
Diverse feature visualizations reveal invariances in early layers of deep neural networks	Cadena, Santiago A. and Weis, Marissa A. and Gatys, Leon A. and Bethge, Matthias and Ecker, Alexander S.	PDF	N/A
Factual'' orEmotional'': Stylized Image Captioning with Adaptive Learning and Attention	Chen, Tianlang and Zhang, Zhongping and You, Quanzeng and Fang, Chen and Wang, Zhaowen and Jin, Hailin and Luo, Jiebo	PDF	N/A
Deblurring Natural Image Using Super-Gaussian Fields	Liu, Yuhang and Dong, Wenyong and Gong, Dong and Zhang, Lei and Shi, Qinfeng	PDF	N/A
Dense Semantic and Topological Correspondence of 3D Faces without Landmarks	Fan, Zhenfeng and Hu, Xiyuan and Chen, Chen and Peng, Silong	PDF	N/A
OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas	Zioulis, Nikolaos and Karakottas, Antonis and Zarpalas, Dimitrios and Daras, Petros	PDF	N/A
On Regularized Losses for Weakly-supervised CNN Segmentation	Tang, Meng and Perazzi, Federico and Djelouah, Abdelaziz and Ben Ayed, Ismail and Schroers, Christopher and Boykov, Yuri	PDF	N/A
Learning Dynamic Memory Networks for Object Tracking	Yang, Tianyu and Chan, Antoni B.	PDF	N/A
Zero-Shot Deep Domain Adaptation	Peng, Kuan-Chuan and Wu, Ziyan and Ernst, Jan	PDF	N/A
SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images	Coors, Benjamin and Paul Condurache, Alexandru and Geiger, Andreas	PDF	N/A
Graininess-Aware Deep Feature Learning for Pedestrian Detection	Lin, Chunze and Lu, Jiwen and Wang, Gang and Zhou, Jie	PDF	N/A
Learning to Forecast and Refine Residual Motion for Image-to-Video Generation	Zhao, Long and Peng, Xi and Tian, Yu and Kapadia, Mubbasir and Metaxas, Dimitris	PDF	N/A
ML-LocNet: Improving Object Localization with Multi-view Learning Network	Zhang, Xiaopeng and Yang, Yang and Feng, Jiashi	PDF	N/A
Statistically-motivated Second-order Pooling	Yu, Kaicheng and Salzmann, Mathieu	PDF	N/A
Improving Generalization via Scalable Neighborhood Component Analysis	Wu, Zhirong and Efros, Alexei A. and Yu, Stella X.	PDF	N/A
Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement	Gan, Yukang and Xu, Xiangyu and Sun, Wenxiu and Lin, Liang	PDF	N/A
Learning to Anonymize Faces for Privacy Preserving Action Detection	Ren, Zhongzheng and Jae Lee, Yong and Ryoo, Michael S.	PDF	N/A
Distractor-aware Siamese Networks for Visual Object Tracking	Zhu, Zheng and Wang, Qiang and Li, Bo and Wu, Wei and Yan, Junjie and Hu, Weiming	PDF	N/A
Question Type Guided Attention in Visual Question Answering	Shi, Yang and Furlanello, Tommaso and Zha, Sheng and Anandkumar, Animashree	PDF	N/A
Escaping from Collapsing Modes in a Constrained Space	Chang, Chia-Che and Hubert Lin, Chieh and Lee, Che-Rung and Juan, Da-Cheng and Wei, Wei and Chen, Hwann-Tzong	PDF	N/A
Light Structure from Pin Motion: Simple and Accurate Point Light Calibration for Physics-based Modeling	Santo, Hiroaki and Waechter, Michael and Samejima, Masaki and Sugano, Yusuke and Matsushita, Yasuyuki	PDF	N/A
Bayesian Semantic Instance Segmentation in Open Set World	Pham, Trung and Kumar, Vijay B. G. and Do, Thanh-Toan and Carneiro, Gustavo and Reid, Ian	PDF	N/A
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning	Robert, Thomas and Thome, Nicolas and Cord, Matthieu	PDF	N/A
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow	Ilg, Eddy and Cicek, Ozgun and Galesso, Silvio and Klein, Aaron and Makansi, Osama and Hutter, Frank and Brox, Thomas	PDF	N/A
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation	Wang, Chao and Zheng, Haiyong and Yu, Zhibin and Zheng, Ziqiang and Gu, Zhaorui and Zheng, Bing	PDF	N/A
Transductive Semi-Supervised Deep Learning using Min-Max Features	Shi, Weiwei and Gong, Yihong and Ding, Chris and MaXiaoyu Tao, Zhiheng and Zheng, Nanning	PDF	N/A
Interpolating Convolutional Neural Networks Using Batch Normalization	Wesley Putra Data, Gratianus and Ngu, Kirjon and William Murray, David and Adrian Prisacariu, Victor	PDF	N/A
Learning Blind Video Temporal Consistency	Lai, Wei-Sheng and Huang, Jia-Bin and Wang, Oliver and Shechtman, Eli and Yumer, Ersin and Yang, Ming-Hsuan	PDF	N/A
Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition	Jiang, Huajie and Wang, Ruiping and Shan, Shiguang and Chen, Xilin	PDF	N/A
Fine-grained Video Categorization with Redundancy Reduction Attention	Zhu, Chen and Tan, Xiao and Zhou, Feng and Liu, Xiao and Yue, Kaiyu and Ding, Errui and Ma, Yi	PDF	N/A
Object Detection in Video with Spatiotemporal Sampling Networks	Bertasius, Gedas and Torresani, Lorenzo and Shi, Jianbo	PDF	N/A
Graph Distillation for Action Detection with Privileged Modalities	Luo, Zelun and Hsieh, Jun-Ting and Jiang, Lu and Niebles, Juan Carlos and Fei-Fei, Li	PDF	N/A
Efficient Uncertainty Estimation for Semantic Segmentation in Videos	Huang, Po-Yu and Hsu, Wan-Ting and Chiu, Chun-Yueh and Wu, Ting-Fan and Sun, Min	PDF	N/A
Saliency Preservation in Low-Resolution Grayscale Images	Yohanandan, Shivanthan and Song, Andy and Dyer, Adrian G. and Tao, Dacheng	PDF	N/A
Polarimetric Three-View Geometry	Chen, Lixiong and Zheng, Yinqiang and Subpa-asa, Art and Sato, Imari	PDF	N/A
Deep Imbalanced Attribute Classification using Visual Attention Aggregation	Sarafianos, Nikolaos and Xu, Xiang and Kakadiaris, Ioannis A.	PDF	N/A
Adding Attentiveness to the Neurons in Recurrent Neural Networks	Zhang, Pengfei and Xue, Jianru and Lan, Cuiling and Zeng, Wenjun and Gao, Zhanning and Zheng, Nanning	PDF	N/A
Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal	Yang, Jie and Gong, Dong and Liu, Lingqiao and Shi, Qinfeng	PDF	N/A
Fast and Accurate Camera Covariance Computation for Large 3D Reconstruction	Polic, Michal and Forstner, Wolfgang and Pajdla, Tomas	PDF	N/A
Dynamic Multimodal Instance Segmentation Guided by Natural Language Queries	Margffoy-Tuay, Edgar and Perez, Juan C. and Botero, Emilio and Arbelaez, Pablo	PDF	N/A
Learning SO(3) Equivariant Representations with Spherical CNNs	Esteves, Carlos and Allen-Blanchette, Christine and Makadia, Ameesh and Daniilidis, Kostas	PDF	N/A
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers	Vyas, Apoorv and Jammalamadaka, Nataraj and Zhu, Xia and Das, Dipankar and Kaul, Bharat and Willke, Theodore L.	PDF	N/A
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification	Du, Yang and Yuan, Chunfeng and Li, Bing and Zhao, Lili and Li, Yangxi and Hu, Weiming	PDF	N/A
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks	Zheng, Chuanxia and Cham, Tat-Jen and Cai, Jianfei	PDF	N/A
Video Object Detection with an Aligned Spatial-Temporal Memory	Xiao, Fanyi and Jae Lee, Yong	PDF	N/A
CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering	Li, Zhengqi and Snavely, Noah	PDF	N/A
Partial Adversarial Domain Adaptation	Cao, Zhangjie and Ma, Lijia and Long, Mingsheng and Wang, Jianmin	PDF	N/A
Diverse and Coherent Paragraph Generation from Images	Chatterjee, Moitreya and Schwing, Alexander G.	PDF	N/A
Diverse Image-to-Image Translation via Disentangled Representations	Lee, Hsin-Ying and Tseng, Hung-Yu and Huang, Jia-Bin and Singh, Maneesh and Yang, Ming-Hsuan	PDF	N/A
BOP: Benchmark for 6D Object Pose Estimation	Hodan, Tomas and Michel, Frank and Brachmann, Eric and Kehl, Wadim and GlentBuch, Anders and Kraft, Dirk and Drost, Bertram and Vidal, Joel and Ihrke, Stephan and Zabulis, Xenophon and Sahin, Caner and Manhardt, Fabian and Tombari, Federico and Kim, Tae-Kyun and Matas, Jiri and Rother, Carsten	PDF	N/A
Generative Domain-Migration Hashing for Sketch-to-Image Retrieval	Zhang, Jingyi and Shen, Fumin and Liu, Li and Zhu, Fan and Yu, Mengyang and Shao, Ling and Tao Shen, Heng and Van Gool, Luc	PDF	N/A
Multimodal image alignment through a multiscale chain of neural networks with application to remote sensing	Zampieri, Armand and Charpiat, Guillaume and Girard, Nicolas and Tarabalka, Yuliya	PDF	N/A
FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans	Liu, Chen and Wu, Jiaye and Furukawa, Yasutaka	PDF	N/A
Unsupervised Hard Example Mining from Videos for Improved Object Detection	Jin, SouYoung and RoyChowdhury, Aruni and Jiang, Huaizu and Singh, Ashish and Prasad, Aditya and Chakraborty, Deep and Learned-Miller, Erik	PDF	N/A
A Deeply-initialized Coarse-to-fine Ensemble of Regression Trees for Face Alignment	Valle, Roberto and Buenaposada, Jose M. and Valdes, Antonio and Baumela, Luis	PDF	N/A
Transferring GANs: generating images from limited data	Wang, Yaxing and Wu, Chenshen and Herranz, Luis and van de Weijer, Joost and Gonzalez-Garcia, Abel and Raducanu, Bogdan	PDF	N/A
Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking	Li, Chenglong and Zhu, Chengli and Huang, Yan and Tang, Jin and Wang, Liang	PDF	N/A
Broadcasting Convolutional Network for Visual Relational Reasoning	Chang, Simyung and Yang, John and Park, SeongUk and Kwak, Nojun	PDF	N/A
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency	Zou, Yuliang and Luo, Zelun and Huang, Jia-Bin	PDF	N/A
K-convexity shape priors for segmentation	Isack, Hossam and Gorelick, Lena and Ng, Karin and Veksler, Olga and Boykov, Yuri	PDF	N/A
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data	Zhang, Yabin and Tang, Hui and Jia, Kui	PDF	N/A
Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition	Yu, Chaojian and Zhao, Xinyi and Zheng, Qi and Zhang, Peng and You, Xinge	PDF	N/A
Unpaired Image Captioning by Language Pivoting	Gu, Jiuxiang and Joty, Shafiq and Cai, Jianfei and Wang, Gang	PDF	N/A
Face De-Spoofing: Anti-Spoofing via Noise Modeling	Jourabloo, Amin and Liu, Yaojie and Liu, Xiaoming	PDF	N/A
Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation	Rhodin, Helge and Salzmann, Mathieu and Fua, Pascal	PDF	N/A
Comparator Networks	Xie, Weidi and Shen, Li and Zisserman, Andrew	PDF	N/A
Quaternion Convolutional Neural Networks	Zhu, Xuanyu and Xu, Yi and Xu, Hongteng and Chen, Changjian	PDF	N/A
Learning Priors for Semantic 3D Reconstruction	Cherabier, Ian and Schonberger, Johannes L. and Oswald, Martin R. and Pollefeys, Marc and Geiger, Andreas	PDF	N/A
Joint Map and Symmetry Synchronization	Sun, Yifan and Liang, Zhenxiao and Huang, Xiangru and Huang, Qixing	PDF	N/A
Start, Follow, Read: End-to-End Full-Page Handwriting Recognition	Wigington, Curtis and Tensmeyer, Chris and Davis, Brian and Barrett, William and Price, Brian and Cohen, Scott	PDF	N/A
Reverse Attention for Salient Object Detection	Chen, Shuhan and Tan, Xiuli and Wang, Ben and Hu, Xuelong	PDF	N/A
TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes	Long, Shangbang and Ruan, Jiaqiang and Zhang, Wenjie and He, Xin and Wu, Wenhao and Yao, Cong	PDF	N/A
Linear Span Network for Object Skeleton Detection	Liu, Chang and Ke, Wei and Qin, Fei and Ye, Qixiang	PDF	N/A
Efficient Relative Attribute Learning using Graph Neural Networks	Meng, Zihang and Adluru, Nagesh and Kim, Hyunwoo J. and Fung, Glenn and Singh, Vikas	PDF	N/A
Model-free Consensus Maximization for Non-Rigid Shapes	Probst, Thomas and Chhatkuli, Ajad and Pani Paudel, Danda and Van Gool, Luc	PDF	N/A
U-PC: Unsupervised Planogram Compliance	Ray, Archan and Kumar, Nishant and Shaw, Avishek and Prasad Mukherjee, Dipti	PDF	N/A
Predicting Future Instance Segmentation by Forecasting Convolutional Features	Luc, Pauline and Couprie, Camille and LeCun, Yann and Verbeek, Jakob	PDF	N/A
Person Search by Multi-Scale Matching	Lan, Xu and Zhu, Xiatian and Gong, Shaogang	PDF	N/A
Flow-Grounded Spatial-Temporal Video Prediction from Still Images	Li, Yijun and Fang, Chen and Yang, Jimei and Wang, Zhaowen and Lu, Xin and Yang, Ming-Hsuan	PDF	N/A
Liquid Pouring Monitoring via Rich Sensory Inputs	Wu, Tz-Ying and Lin, Juan-Ting and Wang, Tsun-Hsuang and Hu, Chan-Wei and Niebles, Juan Carlos and Sun, Min	PDF	N/A
Exploiting temporal information for 3D human pose estimation	Rayat Imtiaz Hossain, Mir and Little, James J.	PDF	N/A
Unsupervised CNN-based Co-Saliency Detection with Graphical Optimization	Hsu, Kuang-Jui and Tsai, Chung-Chi and Lin, Yen-Yu and Qian, Xiaoning and Chuang, Yung-Yu	PDF	N/A
Localization Recall Precision (LRP): A New Performance Metric for Object Detection	Oksuz, Kemal and Can Cam, Baris and Akbas, Emre and Kalkan, Sinan	PDF	N/A
Attentive Semantic Alignment with Offset-Aware Correlation Kernels	Hongsuck Seo, Paul and Lee, Jongmin and Jung, Deunsol and Han, Bohyung and Cho, Minsu	PDF	N/A
Learning 3D Human Pose from Structure and Motion	Dabral, Rishabh and Mundhada, Anurag and Kusupati, Uday and Afaque, Safeer and Sharma, Abhishek and Jain, Arjun	PDF	N/A
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks	Qiu, Qiang and Lezama, Jose and Bronstein, Alex and Sapiro, Guillermo	PDF	N/A
Online Detection of Action Start in Untrimmed, Streaming Videos	Shou, Zheng and Pan, Junting and Chan, Jonathan and Miyazawa, Kazuyuki and Mansour, Hassan and Vetro, Anthony and Giro-i-Nieto, Xavier and Chang, Shih-Fu	PDF	N/A
Exploring the Limits of Weakly Supervised Pretraining	Mahajan, Dhruv and Girshick, Ross and Ramanathan, Vignesh and He, Kaiming and Paluri, Manohar and Li, Yixuan and Bharambe, Ashwin and van der Maaten, Laurens	PDF	N/A
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN	Cheng, Bowen and Wei, Yunchao and Shi, Honghui and Feris, Rogerio and Xiong, Jinjun and Huang, Thomas	PDF	N/A
HandMap: Robust Hand Pose Estimation via Intermediate Dense Guidance Map Supervision	Wu, Xiaokun and Finnegan, Daniel and O'Neill, Eamonn and Yang, Yong-Liang	PDF	N/A
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions	Janai, Joel and Guney, Fatma and Ranjan, Anurag and Black, Michael and Geiger, Andreas	PDF	N/A
Integrating Egocentric Videos in Top-view Surveillance Videos: Joint Identification and Temporal Alignment	Ardeshir, Shervin and Borji, Ali	PDF	N/A
Attribute-Guided Face Generation Using Conditional CycleGAN	Lu, Yongyi and Tai, Yu-Wing and Tang, Chi-Keung	PDF	N/A
Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images	Tateno, Keisuke and Navab, Nassir and Tombari, Federico	PDF	N/A
Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery	Fu, Ying and Zhang, Tao and Zheng, Yinqiang and Zhang, Debing and Huang, Hua	PDF	N/A
Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement	Heo, Minhyeok and Lee, Jaehan and Kim, Kyung-Rae and Kim, Han-Ul and Kim, Chang-Su	PDF	N/A
Analyzing Clothing Layer Deformation Statistics of 3D Human Motions	Yang, Jinlong and Franco, Jean-Sebastien and Hetroy-Wheeler, Franck and Wuhrer, Stefanie	PDF	N/A
Image Super-Resolution Using Very Deep Residual Channel Attention Networks	Zhang, Yulun and Li, Kunpeng and Li, Kai and Wang, Lichen and Zhong, Bineng and Fu, Yun	PDF	N/A
Semi-Supervised Generative Adversarial Hashing for Image Retrieval	Wang, Guan'an and Hu, Qinghao and Cheng, Jian and Hou, Zengguang	PDF	N/A
Learning Single-View 3D Reconstruction with Limited Pose Supervision	Yang, Guandao and Cui, Yin and Belongie, Serge and Hariharan, Bharath	PDF	N/A
Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image	Li, Zhengqin and Sunkavalli, Kalyan and Chandraker, Manmohan	PDF	N/A
Multi-Scale Spatially-Asymmetric Recalibration for Image Classification	Wang, Yan and Xie, Lingxi and Qiao, Siyuan and Zhang, Ya and Zhang, Wenjun and Yuille, Alan L.	PDF	N/A
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation	Ding, Zhengming and Li, Sheng and Shao, Ming and Fu, Yun	PDF	N/A
Improving Sequential Determinantal Point Processes for Supervised Video Summarization	Sharghi, Aidean and Borji, Ali and Li, Chengtao and Yang, Tianbao and Gong, Boqing	PDF	N/A
Specular-to-Diffuse Translation for Multi-View Reconstruction	Wu, Shihao and Huang, Hui and Portenier, Tiziano and Sela, Matan and Cohen-Or, Daniel and Kimmel, Ron and Zwicker, Matthias	PDF	N/A
RESOUND: Towards Action Recognition without Representation Bias	Li, Yingwei and Li, Yi and Vasconcelos, Nuno	PDF	N/A
A Framework for Evaluating 6-DOF Object Trackers	Garon, Mathieu and Laurendeau, Denis and Lalonde, Jean-Francois	PDF	N/A
Extending Layered Models to 3D Motion	Lao, Dong and Sundaramoorthi, Ganesh	PDF	N/A
Long-term Tracking in the Wild: a Benchmark	Valmadre, Jack and Bertinetto, Luca and Henriques, Joao F. and Tao, Ran and Vedaldi, Andrea and Smeulders, Arnold W.M. and Torr, Philip H.S. and Gavves, Efstratios	PDF	N/A
Human Motion Analysis with Deep Metric Learning	Coskun, Huseyin and Joseph Tan, David and Conjeti, Sailesh and Navab, Nassir and Tombari, Federico	PDF	N/A
Adaptive Affinity Fields for Semantic Segmentation	Ke, Tsung-Wei and Hwang, Jyh-Jing and Liu, Ziwei and Yu, Stella X.	PDF	N/A
Hierarchy of Alternating Specialists for Scene Recognition	Jin Kim, Hyo and Frahm, Jan-Michael	PDF	N/A
Multi-Scale Structure-Aware Network for Human Pose Estimation	Ke, Lipeng and Chang, Ming-Ching and Qi, Honggang and Lyu, Siwei	PDF	N/A
License Plate Detection and Recognition in Unconstrained Scenarios	Montazzolli Silva, Sergio and Rosito Jung, Claudio	PDF	N/A
Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders	Felsen, Panna and Lucey, Patrick and Ganguly, Sujoy	PDF	N/A
Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States	Hu, Guosheng and Liu, Li and Yuan, Yang and Yu, Zehao and Hua, Yang and Zhang, Zhihong and Shen, Fumin and Shao, Ling and Hospedales, Timothy and Robertson, Neil and Yang, Yongxin	PDF	N/A
PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction	Shi, Yifei and Xu, Kai and Niessner, Matthias and Rusinkiewicz, Szymon and Funkhouser, Thomas	PDF	N/A
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors	Deng, Haowen and Birdal, Tolga and Ilic, Slobodan	PDF	N/A
HBE: Hand Branch Ensemble Network for Real-time 3D Hand Pose Estimation	Zhou, Yidan and Lu, Jian and Du, Kuo and Lin, Xiangbo and Sun, Yi and Ma, Xiaohong	PDF	N/A
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking	Groth, Oliver and Fuchs, Fabian B. and Posner, Ingmar and Vedaldi, Andrea	PDF	N/A
Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification	Wei, Xing and Zhang, Yue and Gong, Yihong and Zhang, Jiawei and Zheng, Nanning	PDF	N/A
Deep Generative Models for Weakly-Supervised Multi-Label Classification	Chu, Hong-Min and Yeh, Chih-Kuan and Frank Wang, Yu-Chiang	PDF	N/A
SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation	Xu, Wenqiang and Li, Yonglu and Lu, Cewu	PDF	N/A
MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models	Tourani, Siddharth and Shekhovtsov, Alexander and Rother, Carsten and Savchynskyy, Bogdan	PDF	N/A
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation	Hu, Yuan-Ting and Huang, Jia-Bin and Schwing, Alexander G.	PDF	N/A
Semi-Supervised Deep Learning with Memory	Chen, Yanbei and Zhu, Xiatian and Gong, Shaogang	PDF	N/A
Deep Reinforcement Learning with Iterative Shift for Visual Tracking	Ren, Liangliang and Yuan, Xin and Lu, Jiwen and Yang, Ming and Zhou, Jie	PDF	N/A
X2Face: A network for controlling face generation using images, audio, and pose codes	Wiles, Olivia and Sophia Koepke, A. and Zisserman, Andrew	PDF	N/A
Correcting the Triplet Selection Bias for Triplet Loss	Yu, Baosheng and Liu, Tongliang and Gong, Mingming and Ding, Changxing and Tao, Dacheng	PDF	N/A
Women also Snowboard: Overcoming Bias in Captioning Models	Anne Hendricks, Lisa and Burns, Kaylee and Saenko, Kate and Darrell, Trevor and Rohrbach, Anna	PDF	N/A
GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction	Jiang, Li and Shi, Shaoshuai and Qi, Xiaojuan and Jia, Jiaya	PDF	N/A
Contextual-based Image Inpainting: Infer, Match, and Translate	Song, Yuhang and Yang, Chao and Lin, Zhe and Liu, Xiaofeng and Huang, Qin and Li, Hao and Jay Kuo, C.-C.	PDF	N/A
Inner Space Preserving Generative Pose Machine	Liu, Shuangjun and Ostadabbas, Sarah	PDF	N/A
SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network	Bai, Yancheng and Zhang, Yongqiang and Ding, Mingli and Ghanem, Bernard	PDF	N/A
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets	Liu, Xiaofeng and Vijaya Kumar, B.V.K and Yang, Chao and Tang, Qingming and You, Jane	PDF	N/A
End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN	Wang, Yunlong and Liu, Fei and Wang, Zilei and Hou, Guangqi and Sun, Zhenan and Tan, Tieniu	PDF	N/A
Iterative Crowd Counting	Ranjan, Viresh and Le, Hieu and Hoai, Minh	PDF	N/A
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks	Chen, Weixuan and McDuff, Daniel	PDF	N/A
On the Solvability of Viewing Graphs	Trager, Matthew and Osserman, Brian and Ponce, Jean	PDF	N/A
A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers	Zhang, Tianyun and Ye, Shaokai and Zhang, Kaiqi and Tang, Jian and Wen, Wujie and Fardad, Makan and Wang, Yanzhi	PDF	N/A
Multimodal Dual Attention Memory for Video Story Question Answering	Kim, Kyung-Min and Choi, Seong-Ho and Kim, Jin-Hwa and Zhang, Byoung-Tak	PDF	N/A
SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection	Kim, Yonghyun and Kang, Bong-Nam and Kim, Daijin	PDF	N/A
Single Shot Scene Text Retrieval	Gomez, Lluis and Mafla, Andres and Rusinol, Marcal and Karatzas, Dimosthenis	PDF	N/A
Dynamic Task Prioritization for Multitask Learning	Guo, Michelle and Haque, Albert and Huang, De-An and Yeung, Serena and Fei-Fei, Li	PDF	N/A
Self-supervised Knowledge Distillation Using Singular Value Decomposition	Hyun Lee, Seung and Ha Kim, Dae and Cheol Song, Byung	PDF	N/A
Transductive Centroid Projection for Semi-supervised Large-scale Recognition	Liu, Yu and Song, Guanglu and Shao, Jing and Jin, Xiao and Wang, Xiaogang	PDF	N/A
Deep Shape Matching	Radenovic, Filip and Tolias, Giorgos and Chum, Ondrej	PDF	N/A
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network	Ahn, Namhyuk and Kang, Byungkon and Sohn, Kyung-Ah	PDF	N/A
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving	Liang, Xiaodan and Wang, Tairui and Yang, Luona and Xing, Eric	PDF	N/A
EC-Net: an Edge-aware Point set Consolidation Network	Yu, Lequan and Li, Xianzhi and Fu, Chi-Wing and Cohen-Or, Daniel and Heng, Pheng-Ann	PDF	N/A
Part-Activated Deep Reinforcement Learning for Action Prediction	Chen, Lei and Lu, Jiwen and Song, Zhanjie and Zhou, Jie	PDF	N/A
Learning to Navigate for Fine-grained Classification	Yang, Ze and Luo, Tiange and Wang, Dong and Hu, Zhiqiang and Gao, Jun and Wang, Liwei	PDF	N/A
Single Image Highlight Removal with a Sparse and Low-Rank Reflection Model	Guo, Jie and Zhou, Zuojian and Wang, Limin	PDF	N/A
Improving Shape Deformation in Unsupervised Image-to-Image Translation	Gokaslan, Aaron and Ramanujan, Vivek and Ritchie, Daniel and In Kim, Kwang and Tompkin, James	PDF	N/A
Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data	You, Chong and Li, Chi and Robinson, Daniel P. and Vidal, Rene	PDF	N/A
3D Ego-Pose Estimation via Imitation Learning	Yuan, Ye and Kitani, Kris	PDF	N/A
Visual Coreference Resolution in Visual Dialog using Neural Module Networks	Kottur, Satwik and Moura, Jose M. F. and Parikh, Devi and Batra, Dhruv and Rohrbach, Marcus	PDF	N/A
LSQ++: Lower running time and higher recall in multi-codebook quantization	Martinez, Julieta and Zakhmi, Shobhit and Hoos, Holger H. and Little, James J.	PDF	N/A
A Hybrid Model for Identity Obfuscation by Face Replacement	Sun, Qianru and Tewari, Ayush and Xu, Weipeng and Fritz, Mario and Theobalt, Christian and Schiele, Bernt	PDF	N/A
Depth-aware CNN for RGB-D Segmentation	Wang, Weiyue and Neumann, Ulrich	PDF	N/A
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation	Yu, Changqian and Wang, Jingbo and Peng, Chao and Gao, Changxin and Yu, Gang and Sang, Nong	PDF	N/A
ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems	Zhang, Yinda and Khamis, Sameh and Rhemann, Christoph and Valentin, Julien and Kowdle, Adarsh and Tankovich, Vladimir and Schoenberg, Michael and Izadi, Shahram and Funkhouser, Thomas and Fanello, Sean	PDF	N/A
Weakly- and Semi-Supervised Panoptic Segmentation	Li, Qizhu and Arnab, Anurag and Torr, Philip H.S.	PDF	N/A
Selfie Video Stabilization	Yu, Jiyang and Ramamoorthi, Ravi	PDF	N/A
Double JPEG Detection in Mixed JPEG Quality Factors using Deep Convolutional Neural Network	Park, Jinseok and Cho, Donghyeon and Ahn, Wonhyuk and Lee, Heung-Kyu	PDF	N/A
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering	Yu, Tianshu and Yan, Junchi and Liu, Wei and Li, Baoxin	PDF	N/A
DeepTAM: Deep Tracking and Mapping	Zhou, Huizhong and Ummenhofer, Benjamin and Brox, Thomas	PDF	N/A
R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting	Rhinehart, Nicholas and Kitani, Kris M. and Vernaza, Paul	PDF	N/A
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters	Xu, Yifan and Fan, Tianqi and Xu, Mingye and Zeng, Long and Qiao, Yu	PDF	N/A
CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images	Guo, Sheng and Huang, Weilin and Zhang, Haozhi and Zhuang, Chenfan and Dong, Dengke and Scott, Matthew R. and Huang, Dinglong	PDF	N/A
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation	Ilg, Eddy and Saikia, Tonmoy and Keuper, Margret and Brox, Thomas	PDF	N/A
Quantization Mimic: Towards Very Tiny CNN for Object Detection	Wei, Yi and Pan, Xinyu and Qin, Hongwei and Ouyang, Wanli and Yan, Junjie	PDF	N/A
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation	Lv, Zhaoyang and Kim, Kihwan and Troccoli, Alejandro and Sun, Deqing and Rehg, James M. and Kautz, Jan	PDF	N/A
Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing	Yang, Dong and Sun, Jian	PDF	N/A
Textual Explanations for Self-Driving Vehicles	Kim, Jinkyu and Rohrbach, Anna and Darrell, Trevor and Canny, John and Akata, Zeynep	PDF	N/A
Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation	Chen, Xuan and Hao Liew, Jun and Xiong, Wei and Chui, Chee-Kong and Ong, Sim-Heng	PDF	N/A
Local Orthogonal-Group Testing	Iscen, Ahmet and Chum, Ondrej	PDF	N/A
Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency	Chong, Eunji and Ruiz, Nataniel and Wang, Yongxin and Zhang, Yun and Rozga, Agata and Rehg, James M.	PDF	N/A
Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data	Liu, Xihui and Li, Hongsheng and Shao, Jing and Chen, Dapeng and Wang, Xiaogang	PDF	N/A
VideoMatch: Matching based Video Object Segmentation	Hu, Yuan-Ting and Huang, Jia-Bin and Schwing, Alexander G.	PDF	N/A
Unsupervised Video Object Segmentation with Motion-based Bilateral Networks	Li, Siyang and Seybold, Bryan and Vorobyov, Alexey and Lei, Xuejing and Jay Kuo, C.-C.	PDF	N/A
3D Vehicle Trajectory Reconstruction in Monocular Video Data Using Environment Structure Constraints	Bullinger, Sebastian and Bodensteiner, Christoph and Arens, Michael and Stiefelhagen, Rainer	PDF	N/A
Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features	Yang, Xu and Zhang, Hanwang and Cai, Jianfei	PDF	N/A
Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors	Baranchuk, Dmitry and Babenko, Artem and Malkov, Yury	PDF	N/A
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery	Payen de La Garanderie, Greire and Atapour Abarghouei, Amir and Breckon, Toby P.	PDF	N/A
Towards Realistic Predictors	Wang, Pei and Vasconcelos, Nuno	PDF	N/A
Learning Deep Representations with Probabilistic Knowledge Transfer	Passalis, Nikolaos and Tefas, Anastasios	PDF	N/A
DFT-based Transformation Invariant Pooling Layer for Visual Classification	Ryu, Jongbin and Yang, Ming-Hsuan and Lim, Jongwoo	PDF	N/A
Objects that Sound	Arandjelovic, Relja and Zisserman, Andrew	PDF	N/A
End-to-End Incremental Learning	Castro, Francisco M. and Marin-Jimenez, Manuel J. and Guil, Nicolas and Schmid, Cordelia and Alahari, Karteek	PDF	N/A
SaaS: Speed as a Supervisor for Semi-supervised Learning	Cicek, Safa and Fawzi, Alhussein and Soatto, Stefano	PDF	N/A
Deep Video Quality Assessor: From Spatio-temporal Visual Sensitivity to A Convolutional Neural Aggregation Network	Kim, Woojae and Kim, Jongyoo and Ahn, Sewoong and Kim, Jinwoo and Lee, Sanghoon	PDF	N/A
Straight to the Facts: Learning Knowledge Base Retrieval for Factual Visual Question Answering	Narasimhan, Medhini and Schwing, Alexander G.	PDF	N/A
Deep Volumetric Video From Very Sparse Multi-View Performance Capture	Huang, Zeng and Li, Tianye and Chen, Weikai and Zhao, Yajie and Xing, Jun and LeGendre, Chloe and Luo, Linjie and Ma, Chongyang and Li, Hao	PDF	N/A
Neural Procedural Reconstruction for Residential Buildings	Zeng, Huayi and Wu, Jiaye and Furukawa, Yasutaka	PDF	N/A
Deformable Pose Traversal Convolution for 3D Action and Gesture Recognition	Weng, Junwu and Liu, Mengyuan and Jiang, Xudong and Yuan, Junsong	PDF	N/A
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising	Xu, Jun and Zhang, Lei and Zhang, David	PDF	N/A
Orthogonal Deep Features Decomposition for Age-Invariant Face Recognition	Wang, Yitong and Gong, Dihong and Zhou, Zheng and Ji, Xing and Wang, Hao and Li, Zhifeng and Liu, Wei and Zhang, Tong	PDF	N/A
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection	Song, Hongmei and Wang, Wenguan and Zhao, Sanyuan and Shen, Jianbing and Lam, Kin-Man	PDF	N/A
Deep Burst Denoising	Godard, Clement and Matzen, Kevin and Uyttendaele, Matt	PDF	N/A
Learning to Separate Object Sounds by Watching Unlabeled Video	Gao, Ruohan and Feris, Rogerio and Grauman, Kristen	PDF	N/A
Learnable PINs: Cross-Modal Embeddings for Person Identity	Nagrani, Arsha and Albanie, Samuel and Zisserman, Andrew	PDF	N/A
Multi-object Tracking with Neural Gating Using Bilinear LSTM	Kim, Chanho and Li, Fuxin and Rehg, James M.	PDF	N/A
Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera	von Marcard, Timo and Henschel, Roberto and Black, Michael J. and Rosenhahn, Bodo and Pons-Moll, Gerard	PDF	N/A
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding	Sakaridis, Christos and Dai, Dengxin and Hecker, Simon and Van Gool, Luc	PDF	N/A
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications	Yang, Tien-Ju and Howard, Andrew and Chen, Bo and Zhang, Xiao and Go, Alec and Sandler, Mark and Sze, Vivienne and Adam, Hartwig	PDF	N/A
MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics	Yan, Xinchen and Rastogi, Akash and Villegas, Ruben and Sunkavalli, Kalyan and Shechtman, Eli and Hadap, Sunil and Yumer, Ersin and Lee, Honglak	PDF	N/A
Affine Correspondences between Central Cameras for Rapid Relative Pose Estimation	Eichhardt, Ivan and Chetverikov, Dmitry	PDF	N/A
Lifting Layers: Analysis and Applications	Ochs, Peter and Meinhardt, Tim and Leal-Taixe, Laura and Moeller, Michael	PDF	N/A
Remote Photoplethysmography Correspondence Feature for 3D Mask Face Presentation Attack Detection	Liu, Si-Qi and Lan, Xiangyuan and Yuen, Pong C.	PDF	N/A
Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)	Sun, Yifan and Zheng, Liang and Yang, Yi and Tian, Qi and Wang, Shengjin	PDF	N/A
Generative Adversarial Network with Spatial Attention for Face Attribute Editing	Zhang, Gang and Kan, Meina and Shan, Shiguang and Chen, Xilin	PDF	N/A
Pairwise Body-Part Attention for Recognizing Human-Object Interactions	Fang, Hao-Shu and Cao, Jinkun and Tai, Yu-Wing and Lu, Cewu	PDF	N/A
Person Search via A Mask-guided Two-stream CNN Model	Chen, Di and Zhang, Shanshan and Ouyang, Wanli and Yang, Jian and Tai, Ying	PDF	N/A
Saliency Benchmarking Made Easy: Separating Models, Maps and Metrics	Kummerer, Matthias and Wallis, Thomas S. A. and Bethge, Matthias	PDF	N/A
Sub-GAN: An Unsupervised Generative Model via Subspaces	Liang, Jie and Yang, Jufeng and Lee, Hsin-Ying and Wang, Kai and Yang, Ming-Hsuan	PDF	N/A
Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning	Buchler, Uta and Brattoli, Biagio and Ommer, Bjorn	PDF	N/A
The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking	Du, Dawei and Qi, Yuankai and Yu, Hongyang and Yang, Yifan and Duan, Kaiwen and Li, Guorong and Zhang, Weigang and Huang, Qingming and Tian, Qi	PDF	N/A
Beyond local reasoning for stereo confidence estimation with deep learning	Tosi, Fabio and Poggi, Matteo and Benincasa, Antonio and Mattoccia, Stefano	PDF	N/A
ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases	Stock, Pierre and Cisse, Moustapha	PDF	N/A
Making Deep Heatmaps Robust to Partial Occlusions for 3D Object Pose Estimation	Oberweger, Markus and Rad, Mahdi and Lepetit, Vincent	PDF	N/A
CBAM: Convolutional Block Attention Module	Woo, Sanghyun and Park, Jongchan and Lee, Joon-Young and So Kweon, In	PDF	N/A
Spatio-temporal Transformer Network for Video Restoration	Hyun Kim, Tae and Sajjadi, Mehdi S. M. and Hirsch, Michael and Scholkopf, Bernhard	PDF	N/A
stagNet: An Attentive Semantic RNN for Group Activity Recognition	Qi, Mengshi and Qin, Jie and Li, Annan and Wang, Yunhong and Luo, Jiebo and Van Gool, Luc	PDF	N/A
Learning Discriminative Video Representations Using Adversarial Perturbations	Wang, Jue and Cherian, Anoop	PDF	N/A
On Offline Evaluation of Vision-based Driving Models	Codevilla, Felipe and Lopez, Antonio M. and Koltun, Vladlen and Dosovitskiy, Alexey	PDF	N/A
Real-to-Virtual Domain Unification for End-to-End Autonomous Driving	Yang, Luona and Liang, Xiaodan and Wang, Tairui and Xing, Eric	PDF	N/A
How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization	Li, Yandong and Wang, Liqiang and Yang, Tianbao and Gong, Boqing	PDF	N/A
Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights	Mallya, Arun and Davis, Dillon and Lazebnik, Svetlana	PDF	N/A
PSANet: Point-wise Spatial Attention Network for Scene Parsing	Zhao, Hengshuang and Zhang, Yi and Liu, Shu and Shi, Jianping and Change Loy, Chen and Lin, Dahua and Jia, Jiaya	PDF	N/A
X-ray Computed Tomography Through Scatter	Geva, Adam and Schechner, Yoav Y. and Chernyak, Yonatan and Gupta, Rajiv	PDF	N/A
Image Generation from Sketch Constraint Using Contextual GAN	Lu, Yongyi and Wu, Shangzhe and Tai, Yu-Wing and Tang, Chi-Keung	PDF	N/A
Weakly-supervised 3D Hand Pose Estimation from Monocular RGB Images	Cai, Yujun and Ge, Liuhao and Cai, Jianfei and Yuan, Junsong	PDF	N/A
SkipNet: Learning Dynamic Routing in Convolutional Networks	Wang, Xin and Yu, Fisher and Dou, Zi-Yi and Darrell, Trevor and Gonzalez, Joseph E.	PDF	N/A
Point-to-Point Regression PointNet for 3D Hand Pose Estimation	Ge, Liuhao and Ren, Zhou and Yuan, Junsong	PDF	N/A
Deeply Learned Compositional Models for Human Pose Estimation	Tang, Wei and Yu, Pei and Wu, Ying	PDF	N/A
Compound Memory Networks for Few-shot Video Classification	Zhu, Linchao and Yang, Yi	PDF	N/A
3D Recurrent Neural Networks with Context Fusion for Point Cloud Semantic Segmentation	Ye, Xiaoqing and Li, Jiamao and Huang, Hexiao and Du, Liang and Zhang, Xiaolin	PDF	N/A
Unsupervised Person Re-identification by Deep Learning Tracklet Association	Li, Minxian and Zhu, Xiatian and Gong, Shaogang	PDF	N/A
Deep Boosting for Image Denoising	Chen, Chang and Xiong, Zhiwei and Tian, Xinmei and Wu, Feng	PDF	N/A
The Contextual Loss for Image Transformation with Non-Aligned Data	Mechrez, Roey and Talmi, Itamar and Zelnik-Manor, Lihi	PDF	N/A
Actor-centric Relation Network	Sun, Chen and Shrivastava, Abhinav and Vondrick, Carl and Murphy, Kevin and Sukthankar, Rahul and Schmid, Cordelia	PDF	N/A
Fully-Convolutional Point Networks for Large-Scale Point Clouds	Rethage, Dario and Wald, Johanna and Sturm, Jurgen and Navab, Nassir and Tombari, Federico	PDF	N/A
Joint optimization for compressive video sensing and reconstruction under hardware constraints	Yoshida, Michitaka and Torii, Akihiko and Okutomi, Masatoshi and Endo, Kenta and Sugiyama, Yukinobu and Taniguchi, Rin-ichiro and Nagahara, Hajime	PDF	N/A
Improved Structure from Motion Using Fiducial Marker Matching	DeGol, Joseph and Bretl, Timothy and Hoiem, Derek	PDF	N/A
Deep Autoencoder for Combined Human Pose Estimation and Body Model Upscaling	Trumble, Matthew and Gilbert, Andrew and Hilton, Adrian and Collomosse, John	PDF	N/A
Integral Human Pose Regression	Sun, Xiao and Xiao, Bin and Wei, Fangyin and Liang, Shuang and Wei, Yichen	PDF	N/A
Convolutional Networks with Adaptive Inference Graphs	Veit, Andreas and Belongie, Serge	PDF	N/A
A Dataset and Architecture for Visual Reasoning with a Working Memory	Robert Yang, Guangyu and Ganichev, Igor and Wang, Xiao-Jing and Shlens, Jonathon and Sussillo, David	PDF	N/A
Video Compression through Image Interpolation	Wu, Chao-Yuan and Singhal, Nayan and Krahenbuhl, Philipp	PDF	N/A
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds	Idrees, Haroon and Tayyab, Muhmmad and Athrey, Kishan and Zhang, Dong and Al-Maadeed, Somaya and Rajpoot, Nasir and Shah, Mubarak	PDF	N/A
Affinity Derivation and Graph Merge for Instance Segmentation	Liu, Yiding and Yang, Siyu and Li, Bin and Zhou, Wengang and Xu, Jizheng and Li, Houqiang and Lu, Yan	PDF	N/A
Progressive Structure from Motion	Locher, Alex and Havlena, Michal and Van Gool, Luc	PDF	N/A
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network	Kocabas, Muhammed and Karagoz, Salih and Akbas, Emre	PDF	N/A
Self-Calibrating Isometric Non-Rigid Structure-from-Motion	Parashar, Shaifali and Bartoli, Adrien and Pizarro, Daniel	PDF	N/A
Using Object Information for Spotting Text	Prasad, Shitala and Wai Kin Kong, Adams	PDF	N/A
Modality Distillation with Multiple Stream Networks for Action Recognition	Garcia, Nuno C. and Morerio, Pietro and Murino, Vittorio	PDF	N/A
Stereo Vision-based Semantic 3D Object and Ego-motion Tracking for Autonomous Driving	Li, Peiliang and Qin, Tong and Shen, andShaojie	PDF	N/A
AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos	Shou, Zheng and Gao, Hang and Zhang, Lei and Miyazawa, Kazuyuki and Chang, Shih-Fu	PDF	N/A
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency	Zhou, Xingyi and Karpur, Arjun and Gan, Chuang and Luo, Linjie and Huang, Qixing	PDF	N/A
Visual-Inertial Object Detection and Mapping	Fei, Xiaohan and Soatto, Stefano	PDF	N/A
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification	Yin, Xiaoqing and Wang, Xinchao and Yu, Jun and Zhang, Maojun and Fua, Pascal and Tao, Dacheng	PDF	N/A
Semi-supervised FusedGAN for Conditional Image Generation	Bodla, Navaneeth and Hua, Gang and Chellappa, Rama	PDF	N/A
Group Normalization	Wu, Yuxin and He, Kaiming	PDF	N/A
Conditional Image-Text Embedding Networks	Plummer, Bryan A. and Kordas, Paige and Hadi Kiapour, M. and Zheng, Shuai and Piramuthu, Robinson and Lazebnik, Svetlana	PDF	N/A
Deep Co-Training for Semi-Supervised Image Recognition	Qiao, Siyuan and Shen, Wei and Zhang, Zhishuai and Wang, Bo and Yuille, Alan	PDF	N/A
Object Level Visual Reasoning in Videos	Baradel, Fabien and Neverova, Natalia and Wolf, Christian and Mille, Julien and Mori, Greg	PDF	N/A
In the Eye of Beholder: Joint Learning of Gaze and Actions in First Person Video	Li, Yin and Liu, Miao and Rehg, James M.	PDF	N/A
Deep Factorised Inverse-Sketching	Pang, Kaiyue and Li, Da and Song, Jifei and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M.	PDF	N/A
A Joint Sequence Fusion Model for Video Question Answering and Retrieval	Yu, Youngjae and Kim, Jongseok and Kim, Gunhee	PDF	N/A
View-graph Selection Framework for SfM	Shah, Rajvi and Chari, Visesh and J Narayanan, P	PDF	N/A
Synthetically Supervised Feature Learning for Scene Text Recognition	Liu, Yang and Wang, Zhaowen and Jin, Hailin and Wassell, Ian	PDF	N/A
Deep Clustering for Unsupervised Learning of Visual Features	Caron, Mathilde and Bojanowski, Piotr and Joulin, Armand and Douze, Matthijs	PDF	N/A
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models	Su, Dong and Zhang, Huan and Chen, Hongge and Yi, Jinfeng and Chen, Pin-Yu and Gao, Yupeng	PDF	N/A
Lifelong Learning via Progressive Distillation and Retrospection	Hou, Saihui and Pan, Xinyu and Change Loy, Chen and Wang, Zilei and Lin, Dahua	PDF	N/A
Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data	Feng, Tian and Truong, Quang-Trung and Thanh Nguyen, Duc and Yu Koh, Jing and Yu, Lap-Fai and Binder, Alexander and Yeung, Sai-Kit	PDF	N/A
Progressive Neural Architecture Search	Liu, Chenxi and Zoph, Barret and Neumann, Maxim and Shlens, Jonathon and Hua, Wei and Li, Li-Jia and Fei-Fei, Li and Yuille, Alan and Huang, Jonathan and Murphy, Kevin	PDF	N/A
Single Image Water Hazard Detection using FCN with Reflection Attention Units	Han, Xiaofeng and Nguyen, Chuong and You, Shaodi and Lu, Jianfeng	PDF	N/A
Predicting Gaze in Egocentric Video by Learning Task-dependent Attention Transition	Huang, Yifei and Cai, Minjie and Li, Zhenqiang and Sato, Yoichi	PDF	N/A
Joint Learning of Intrinsic Images and Semantic Segmentation	Baslamisli, Anil S. and Groenestege, Thomas T. and Das, Partha and Le, Hoang-An and Karaoglu, Sezer and Gevers, Theo	PDF	N/A
Towards Robust Neural Networks via Random Self-ensemble	Liu, Xuanqing and Cheng, Minhao and Zhang, Huan and Hsieh, Cho-Jui	PDF	N/A
Programmable Triangulation Light Curtains	Wang, Jian and Bartels, Joseph and Whittaker, William and Sankaranarayanan, Aswin C. and Narasimhan, Srinivasa G.	PDF	N/A
Find and Focus: Retrieve and Localize Video Events with Natural Language Queries	Shao, Dian and Xiong, Yu and Zhao, Yue and Huang, Qingqiu and Qiao, Yu and Lin, Dahua	PDF	N/A
Rethinking the Form of Latent States in Image Captioning	Dai, Bo and Ye, Deming and Lin, Dahua	PDF	N/A
CubeNet: Equivariance to 3D Rotation and Translation	Worrall, Daniel and Brostow, Gabriel	PDF	N/A
DeepWrinkles: Accurate and Realistic Clothing Modeling	Lahner, Zorah and Cremers, Daniel and Tung, Tony	PDF	N/A
Bidirectional Feature Pyramid Network with Recurrent Attention Residual Modules for Shadow Detection	Zhu, Lei and Deng, Zijun and Hu, Xiaowei and Fu, Chi-Wing and Xu, Xuemiao and Qin, Jing and Heng, Pheng-Ann	PDF	N/A
Deep Regression Tracking with Shrinkage Loss	Lu, Xiankai and Ma, Chao and Ni, Bingbing and Yang, Xiaokang and Reid, Ian and Yang, Ming-Hsuan	PDF	N/A
Super-Resolution and Sparse View CT Reconstruction	Zang, Guangming and Aly, Mohamed and Idoughi, Ramzi and Wonka, Peter and Heidrich, Wolfgang	PDF	N/A
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes	Lyu, Pengyuan and Liao, Minghui and Yao, Cong and Wu, Wenhao and Bai, Xiang	PDF	N/A
Learning to Dodge A Bullet: Concyclic View Morphing via Deep Learning	Jin, Shi and Liu, Ruiynag and Ji, Yu and Ye, Jinwei and Yu, Jingyi	PDF	N/A
Deterministic Consensus Maximization with Biconvex Programming	Cai, Zhipeng and Chin, Tat-Jun and Le, Huu and Suter, David	PDF	N/A
Practical Black-box Attacks on Deep Neural Networks using Efficient Query Mechanisms	Nitin Bhagoji, Arjun and He, Warren and Li, Bo and Song, Dawn	PDF	N/A
Propagating LSTM: 3D Pose Estimation based on Joint Interdependency	Lee, Kyoungoh and Lee, Inwoong and Lee, Sanghoon	PDF	N/A
Associating Inter-Image Salient Instances for Weakly Supervised Semantic Segmentation	Fan, Ruochen and Hou, Qibin and Cheng, Ming-Ming and Yu, Gang and Martin, Ralph R. and Hu, Shi-Min	PDF	N/A
Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input	Harwath, David and Recasens, Adria and Suris, Didac and Chuang, Galen and Torralba, Antonio and Glass, James	PDF	N/A
Visual Tracking via Spatially Aligned Correlation Filters Network	Zhang, Mengdan and Wang, Qiang and Xing, Junliang and Gao, Jin and Peng, Peixi and Hu, Weiming and Maybank, Steve	PDF	N/A
HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks	Zhou, Yi and Hu, Liwen and Xing, Jun and Chen, Weikai and Kung, Han-Wei and Tong, Xin and Li, Hao	PDF	N/A
The Sound of Pixels	Zhao, Hang and Gan, Chuang and Rouditchenko, Andrew and Vondrick, Carl and McDermott, Josh and Torralba, Antonio	PDF	N/A
Shape Reconstruction Using Volume Sweeping and Learned Photoconsistency	Leroy, Vincent and Franco, Jean-Sebastien and Boyer, Edmond	PDF	N/A
Quantized Densely Connected U-Nets for Efficient Landmark Localization	Tang, Zhiqiang and Peng, Xi and Geng, Shijie and Wu, Lingfei and Zhang, Shaoting and Metaxas, Dimitris	PDF	N/A
Joint 3D tracking of a deformable object in interaction with a hand	Tsoli, Aggeliki and Argyros, Antonis A.	PDF	N/A
Move Forward and Tell: A Progressive Generator of Video Descriptions	Xiong, Yilei and Dai, Bo and Lin, Dahua	PDF	N/A
Face Recognition with Contrastive Convolution	Han, Chunrui and Shan, Shiguang and Kan, Meina and Wu, Shuzhe and Chen, Xilin	PDF	N/A
Repeatability Is Not Enough: Learning Affine Regions via Discriminability	Mishkin, Dmytro and Radenovic, Filip and Matas, Jiri	PDF	N/A
Tackling 3D ToF Artifacts Through Learning and the FLAT Dataset	Guo, Qi and Frosio, Iuri and Gallo, Orazio and Zickler, Todd and Kautz, Jan	PDF	N/A
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks	Yang, Siqi and Wiliem, Arnold and Chen, Shaokang and Lovell, Brian C.	PDF	N/A
Motion Feature Network: Fixed Motion Filter for Action Recognition	Lee, Myunggi and Lee, Seungeui and Son, Sungjoon and Park, Gyutae and Kwak, Nojun	PDF	N/A
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study	Wu, Zhenyu and Wang, Zhangyang and Wang, Zhaowen and Jin, Hailin	PDF	N/A
Learning Compression from Limited Unlabeled Data	He, Xiangyu and Cheng, Jian	PDF	N/A
DeepVS: A Deep Learning Based Video Saliency Prediction Approach	Jiang, Lai and Xu, Mai and Liu, Tie and Qiao, Minglang and Wang, Zulin	PDF	N/A
ADVIO: An Authentic Dataset for Visual-Inertial Odometry	Cortes, Santiago and Solin, Arno and Rahtu, Esa and Kannala, Juho	PDF	N/A
Adversarial Geometry-Aware Human Motion Prediction	Gui, Liang-Yan and Wang, Yu-Xiong and Liang, Xiaodan and Moura, Jose M. F.	PDF	N/A
Online Dictionary Learning for Approximate Archetypal Analysis	Mei, Jieru and Wang, Chunyu and Zeng, Wenjun	PDF	N/A
Rendering Portraitures from Monocular Camera and Beyond	Xu, Xiangyu and Sun, Deqing and Liu, Sifei and Ren, Wenqi and Zhang, Yu-Jin and Yang, Ming-Hsuan and Sun, Jian	PDF	N/A
Attributes as Operators: Factorizing Unseen Attribute-Object Compositions	Nagarajan, Tushar and Grauman, Kristen	PDF	N/A
Scaling Egocentric Vision: The EPIC-KITCHENS Dataset	Damen, Dima and Doughty, Hazel and Maria Farinella, Giovanni and Fidler, Sanja and Furnari, Antonino and Kazakos, Evangelos and Moltisanti, Davide and Munro, Jonathan and Perrett, Toby and Price, Will and Wray, Michael	PDF	N/A
Realtime Time Synchronized Event-based Stereo	Zihao Zhu, Alex and Chen, Yibo and Daniilidis, Kostas	PDF	N/A
Memory Aware Synapses: Learning what (not) to forget	Aljundi, Rahaf and Babiloni, Francesca and Elhoseiny, Mohamed and Rohrbach, Marcus and Tuytelaars, Tinne	PDF	N/A
Learning and Matching Multi-View Descriptors for Registration of Point Clouds	Zhou, Lei and Zhu, Siyu and Luo, Zixin and Shen, Tianwei and Zhang, Runze and Zhen, Mingmin and Fang, Tian and Quan, Long	PDF	N/A
Semi-Dense 3D Reconstruction with a Stereo Event Camera	Zhou, Yi and Gallego, Guillermo and Rebecq, Henri and Kneip, Laurent and Li, Hongdong and Scaramuzza, Davide	PDF	N/A
Scale-Awareness of Light Field Camera based Visual Odometry	Zeller, Niclas and Quint, Franz and Stilla, Uwe	PDF	N/A
Revisiting Autofocus for Smartphone Cameras	Abuolaim, Abdullah and Punnappurath, Abhijith and Brown, Michael S.	PDF	N/A
Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization	Kang, Guoliang and Zheng, Liang and Yan, Yan and Yang, Yi	PDF	N/A
Efficient 6-DoF Tracking of Handheld Objects from an Egocentric Viewpoint	Pandey, Rohit and Pidlypenskyi, Pavel and Yang, Shuoran and Kaeser-Chen, Christine	PDF	N/A
How good is my GAN?	Shmelkov, Konstantin and Schmid, Cordelia and Alahari, Karteek	PDF	N/A
Superpixel Sampling Networks	Jampani, Varun and Sun, Deqing and Liu, Ming-Yu and Yang, Ming-Hsuan and Kautz, Jan	PDF	N/A
Effective Use of Synthetic Data for Urban Scene Semantic Segmentation	Sadat Saleh, Fatemeh and Sadegh Aliakbarian, Mohammad and Salzmann, Mathieu and Petersson, Lars and Alvarez, Jose M.	PDF	N/A
Generating 3D Faces using Convolutional Mesh Autoencoders	Ranjan, Anurag and Bolkart, Timo and Sanyal, Soubhik and Black, Michael J.	PDF	N/A
3D Face Reconstruction from Light Field Images: A Model-free Approach	Feng, Mingtao and Zulqarnain Gilani, Syed and Wang, Yaonan and Mian, Ajmal	PDF	N/A
Attention-aware Deep Adversarial Hashing for Cross-Modal Retrieval	Zhang, Xi and Lai, Hanjiang and Feng, Jiashi	PDF	N/A
Museum Exhibit Identification Challenge for the Supervised Domain Adaptation and Beyond	Koniusz, Piotr and Tas, Yusuf and Zhang, Hongguang and Harandi, Mehrtash and Porikli, Fatih and Zhang, Rui	PDF	N/A
End-to-End Deep Structured Models for Drawing Crosswalks	Liang, Justin and Urtasun, Raquel	PDF	N/A
Learning Visual Question Answering by Bootstrapping Hard Attention	Malinowski, Mateusz and Doersch, Carl and Santoro, Adam and Battaglia, Peter	PDF	N/A
Deep Adaptive Attention for Joint Facial Action Unit Detection and Face Alignment	Shao, Zhiwen and Liu, Zhilei and Cai, Jianfei and Ma, Lizhuang	PDF	N/A
Data-Driven Sparse Structure Selection for Deep Neural Networks	Huang, Zehao and Wang, Naiyan	PDF	N/A
To learn image super-resolution, use a GAN to learn how to do image degradation first	Bulat, Adrian and Yang, Jing and Tzimiropoulos, Georgios	PDF	N/A
Self-Supervised Relative Depth Learning for Urban Scene Understanding	Jiang, Huaizu and Larsson, Gustav and Maire Greg Shakhnarovich, Michael and Learned-Miller, Erik	PDF	N/A
End-to-End Joint Semantic Segmentation of Actors and Actions in Video	Ji, Jingwei and Buch, Shyamal and Soto, Alvaro and Niebles, Juan Carlos	PDF	N/A
Deep Texture and Structure Aware Filtering Network for Image Smoothing	Lu, Kaiyue and You, Shaodi and Barnes, Nick	PDF	N/A
Pairwise Relational Networks for Face Recognition	Kang, Bong-Nam and Kim, Yonghyun and Kim, Daijin	PDF	N/A
LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction	XU, Kai and Zhang, Zhikang and Ren, Fengbo	PDF	N/A
Learning Warped Guidance for Blind Face Restoration	Li, Xiaoming and Liu, Ming and Ye, Yuting and Zuo, Wangmeng and Lin, Liang and Yang, Ruigang	PDF	N/A
Shift-Net: Image Inpainting via Deep Feature Rearrangement	Yan, Zhaoyi and Li, Xiaoming and Li, Mu and Zuo, Wangmeng and Shan, Shiguang	PDF	N/A
Question-Guided Hybrid Convolution for Visual Question Answering	Gao, Peng and Li, Hongsheng and Li, Shuang and Lu, Pan and Li, Yikang and Hoi, Steven C.H. and Wang, Xiaogang	PDF	N/A
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders	Jha, Ananya Harsh and Anand, Saket and Singh, Maneesh and Veeravasarapu, VSR	PDF	N/A
Deep Fundamental Matrix Estimation	Ranftl, Rene and Koltun, Vladlen	PDF	N/A
Where are the blobs: Counting by Localization with Point Supervision	Laradji, Issam H. and Rostamzadeh, Negar and Pinheiro, Pedro O. and Vazquez, David and Schmidt, Mark	PDF	N/A
Pose Guided Human Video Generation	Yang, Ceyuan and Wang, Zhe and Zhu, Xinge and Huang, Chen and Shi, Jianping and Lin, Dahua	PDF	N/A
Real-time 'Actor-Critic' Tracking	Chen, Boyu and Wang, Dong and Li, Peixia and Wang, Shuang and Lu, Huchuan	PDF	N/A
Estimating the Success of Unsupervised Image to Image Translation	Benaim, Sagie and Galanti, Tomer and Wolf, Lior	PDF	N/A
Deep Bilevel Learning	Jenni, Simon and Favaro, Paolo	PDF	N/A
Sparsely Aggregated Convolutional Networks	Zhu, Ligeng and Deng, Ruizhi and Maire, Michael and Deng, Zhiwei and Mori, Greg and Tan, Ping	PDF	N/A
Interpretable Intuitive Physics Model	Ye, Tian and Wang, Xiaolong and Davidson, James and Gupta, Abhinav	PDF	N/A
Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression	Cheng, Yihua and Lu, Feng and Zhang, Xucong	PDF	N/A
ADVISE: Symbolism and External Knowledge for Decoding Advertisements	Ye, Keren and Kovashka, Adriana	PDF	N/A
Toward Characteristic-Preserving Image-based Virtual Try-On Network	Wang, Bochao and Zheng, Huabin and Liang, Xiaodan and Chen, Yimin and Lin, Liang and Yang, Meng	PDF	N/A
A Closed-form Solution to Photorealistic Image Stylization	Li, Yijun and Liu, Ming-Yu and Li, Xueting and Yang, Ming-Hsuan and Kautz, Jan	PDF	N/A
Understanding Degeneracies and Ambiguities in Attribute Transfer	Szabo, Attila and Hu, Qiyang and Portenier, Tiziano and Zwicker, Matthias and Favaro, Paolo	PDF	N/A
Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm	Liu, Zechun and Wu, Baoyuan and Luo, Wenhan and Yang, Xin and Liu, Wei and Cheng, Kwang-Ting	PDF	N/A
Temporal Modular Networks for Retrieving Complex Compositional Activities in Videos	Liu, Bingbin and Yeung, Serena and Chou, Edward and Huang, De-An and Fei-Fei, Li and Niebles, Juan Carlos	PDF	N/A
Neural Stereoscopic Image Style Transfer	Gong, Xinyu and Huang, Haozhi and Ma, Lin and Shen, Fumin and Liu, Wei and Zhang, Tong	PDF	N/A
HiDDeN: Hiding Data with Deep Networks	Zhu, Jiren and Kaplan, Russell and Johnson, Justin and Fei-Fei, Li	PDF	N/A
Occlusion-aware Hand Pose Estimation Using Hierarchical Mixture Density Network	Ye, Qi and Kim, Tae-Kyun	PDF	N/A
Conditional Prior Networks for Optical Flow	Yang, Yanchao and Soatto, Stefano	PDF	N/A
Learning 3D Keypoint Descriptors for Non-Rigid Shape Matching	Wang, Hanyu and Guo, Jianwei and Yan, Dong-Ming and Quan, Weize and Zhang, Xiaopeng	PDF	N/A
Stacked Cross Attention for Image-Text Matching	Lee, Kuang-Huei and Chen, Xi and Hua, Gang and Hu, Houdong and He, Xiaodong	PDF	N/A
Video Summarization Using Fully Convolutional Sequence Networks	Rochan, Mrigank and Ye, Linwei and Wang, Yang	PDF	N/A
Unveiling the Power of Deep Tracking	Bhat, Goutam and Johnander, Joakim and Danelljan, Martin and Shahbaz Khan, Fahad and Felsberg, Michael	PDF	N/A
Weakly Supervised Region Proposal Network and Object Detection	Tang, Peng and Wang, Xinggang and Wang, Angtian and Yan, Yongluan and Liu, Wenyu and Huang, Junzhou and Yuille, Alan	PDF	N/A
The Devil of Face Recognition is in the Noise	Wang, Fei and Chen, Liren and Li, Cheng and Huang, Shiyao and Chen, Yanjie and Qian, Chen and Change Loy, Chen	PDF	N/A
SwapNet: Garment Transfer in Single View Images	Raj, Amit and Sangkloy, Patsorn and Chang, Huiwen and Lu, Jingwan and Ceylan, Duygu and Hays, James	PDF	N/A
Egocentric Activity Prediction via Event Modulated Attention	Shen, Yang and Ni, Bingbing and Li, Zefan and Zhuang, Ning	PDF	N/A
Person Search in Videos with One Portrait Through Visual and Temporal Links	Huang, Qingqiu and Liu, Wentao and Lin, Dahua	PDF	N/A
Stereo Computation for a Single Mixture Image	Zhong, Yiran and Dai, Yuchao and Li, Hongdong	PDF	N/A
Value-aware Quantization for Training and Inference of Neural Networks	Park, Eunhyeok and Yoo, Sungjoo and Vajda, Peter	PDF	N/A
Explainable Neural Computation via Stack Neural Module Networks	Hu, Ronghang and Andreas, Jacob and Darrell, Trevor and Saenko, Kate	PDF	N/A
Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model	Gecer, Baris and Bhattarai, Binod and Kittler, Josef and Kim, Tae-Kyun	PDF	N/A
TBN: Convolutional Neural Network with Ternary Inputs and Binary Weights	Wan, Diwen and Shen, Fumin and Liu, Li and Zhu, Fan and Qin, Jie and Shao, Ling and Tao Shen, Heng	PDF	N/A
Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in Scenes	Zhan, Fangneng and Lu, Shijian and Xue, Chuhui	PDF	N/A
What do I Annotate Next? An Empirical Study of Active Learning for Action Localization	Caba Heilbron, Fabian and Lee, Joon-Young and Jin, Hailin and Ghanem, Bernard	PDF	N/A
An Adversarial Approach to Hard Triplet Generation	Zhao, Yiru and Jin, Zhongming and Qi, Guo-jun and Lu, Hongtao and Hua, Xian-sheng	PDF	N/A
Interactive Boundary Prediction for Object Selection	Le, Hoang and Mai, Long and Price, Brian and Cohen, Scott and Jin, Hailin and Liu, Feng	PDF	N/A
TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild	Muller, Matthias and Bibi, Adel and Giancola, Silvio and Alsubaihi, Salman and Ghanem, Bernard	PDF	N/A
Concept Mask: Large-Scale Segmentation from Semantic Concepts	Wang, Yufei and Lin, Zhe and Shen, Xiaohui and Zhang, Jianming and Cohen, Scott	PDF	N/A
Simultaneous 3D Reconstruction for Water Surface and Underwater Scene	Qian, Yiming and Zheng, Yinqiang and Gong, Minglun and Yang, Yee-Hong	PDF	N/A
SegStereo: Exploiting Semantic Information for Disparity Estimation	Yang, Guorun and Zhao, Hengshuang and Shi, Jianping and Deng, Zhidong and Jia, Jiaya	PDF	N/A
3D-CODED: 3D Correspondences by Deep Deformation	Groueix, Thibault and Fisher, Matthew and Kim, Vladimir G. and Russell, Bryan C. and Aubry, Mathieu	PDF	N/A
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry	Yang, Nan and Wang, Rui and Stuckler, Jorg and Cremers, Daniel	PDF	N/A
Single Image Intrinsic Decomposition without a Single Intrinsic Image	Ma, Wei-Chiu and Chu, Hang and Zhou, Bolei and Urtasun, Raquel and Torralba, Antonio	PDF	N/A
Deep Model-Based 6D Pose Refinement in RGB	Manhardt, Fabian and Kehl, Wadim and Navab, Nassir and Tombari, Federico	PDF	N/A
Learning-based Video Motion Magnification	Oh, Tae-Hyun and Jaroensri, Ronnachai and Kim, Changil and Elgharib, Mohamed and Durand, Fr'edo and Freeman, William T. and Matusik, Wojciech	PDF	N/A
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation	Bhushan Damodaran, Bharath and Kellenberger, Benjamin and Flamary, Remi and Tuia, Devis and Courty, Nicolas	PDF	N/A
Pose Proposal Networks	Sekii, Taiki	PDF	N/A
Deep Regionlets for Object Detection	Xu, Hongyu and Lv, Xutao and Wang, Xiaoyu and Ren, Zhou and Bodla, Navaneeth and Chellappa, Rama	PDF	N/A
Learning with Biased Complementary Labels	Yu, Xiyu and Liu, Tongliang and Gong, Mingming and Tao, Dacheng	PDF	N/A
BSN: Boundary Sensitive Network for Temporal Action Proposal Generation	Lin, Tianwei and Zhao, Xu and Su, Haisheng and Wang, Chongjing and Yang, Ming	PDF	N/A
Visual Reasoning with Multi-hop Feature Modulation	Strub, Florian and Seurin, Mathieu and Perez, Ethan and de Vries, Harm and Mary, Jeremie and Preux, Philippe and CourvilleOlivier Pietquin, Aaron	PDF	N/A
Multiresolution Tree Networks for 3D Point Cloud Processing	Gadelha, Matheus and Wang, Rui and Maji, Subhransu	PDF	N/A
Seeing Tree Structure from Vibration	Xue, Tianfan and Wu, Jiajun and Zhang, Zhoutong and Zhang, Chengkai and Tenenbaum, Joshua B. and Freeman, William T.	PDF	N/A
DDRNet: Depth Map Denoising and Refinement for Consumer Depth Cameras Using Cascaded CNNs	Yan, Shi and Wu, Chenglei and Wang, Lizhen and Xu, Feng and An, Liang and Guo, Kaiwen and Liu, Yebin	PDF	N/A
Probabilistic Video Generation using Holistic Attribute Control	He, Jiawei and Lehrmann, Andreas and Marino, Joseph and Mori, Greg and Sigal, Leonid	PDF	N/A
Video Re-localization	Feng, Yang and Ma, Lin and Liu, Wei and Zhang, Tong and Luo, Jiebo	PDF	N/A
Adversarial Open-World Person Re-Identification	Li, Xiang and Wu, Ancong and Zheng, Wei-Shi	PDF	N/A
Geometric Constrained Joint Lane Segmentation and Lane Boundary Detection	Zhang, Jie and Xu, Yi and Ni, Bingbing and Duan, Zhenyu	PDF	N/A
A Geometric Perspective on Structured Light Coding	Gupta, Mohit and Nakhate, Nikhil	PDF	N/A
Modular Generative Adversarial Networks	Zhao, Bo and Chang, Bo and Jie, Zequn and Sigal, Leonid	PDF	N/A
SRFeat: Single Image Super-Resolution with Feature Discrimination	Park, Seong-Jin and Son, Hyeongseok and Cho, Sunghyun and Hong, Ki-Sang and Lee, Seungyong	PDF	N/A
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning	Si, Chenyang and Jing, Ya and Wang, Wei and Wang, Liang and Tan, Tieniu	PDF	N/A
Self-produced Guidance for Weakly-supervised Object Localization	Zhang, Xiaolin and Wei, Yunchao and Kang, Guoliang and Yang, Yi and Huang, Thomas	PDF	N/A
Self-Calibration of Cameras with Euclidean Image Plane in Case of Two Views and Known Relative Rotation Angle	Martyushev, Evgeniy	PDF	N/A
RIDI: Robust IMU Double Integration	Yan, Hang and Shan, Qi and Furukawa, Yasutaka	PDF	N/A
Learning Monocular Depth by Distilling Cross-domain Stereo Networks	Guo, Xiaoyang and Li, Hongsheng and Yi, Shuai and Ren, Jimmy and Wang, Xiaogang	PDF	N/A
Fully Motion-Aware Network for Video Object Detection	Wang, Shiyao and Zhou, Yucong and Yan, Junjie and Deng, Zhidong	PDF	N/A
GridFace: Face Rectification via Learning Local Homography Transformations	Zhou, Erjin and Cao, Zhimin and Sun, Jian	PDF	N/A
Deep Feature Pyramid Reconfiguration for Object Detection	Kong, Tao and Sun, Fuchun and Tan, Chuanqi and Liu, Huaping and Huang, Wenbing	PDF	N/A
Does Haze Removal Help CNN-based Image Classification?	Pei, Yanting and Huang, Yaping and Zou, Qi and Lu, Yuhang and Wang, Song	PDF	N/A
Multi-modal Cycle-consistent Generalized Zero-Shot Learning	Felix, Rafael and Kumar, Vijay B. G. and Reid, Ian and Carneiro, Gustavo	PDF	N/A
YouTube-VOS: Sequence-to-Sequence Video Object Segmentation	Xu, Ning and Yang, Linjie and Fan, Yuchen and Yang, Jianchao and Yue, Dingcheng and Liang, Yuchen and Price, Brian and Cohen, Scott and Huang, Thomas	PDF	N/A
Generalizing A Person Retrieval Model Hetero- and Homogeneously	Zhong, Zhun and Zheng, Liang and Li, Shaozi and Yang, Yi	PDF	N/A
DYAN: A Dynamical Atoms-Based Network For Video Prediction	Liu, Wenqian and Sharma, Abhishek and Camps, Octavia and Sznaier, Mario	PDF	N/A
3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation	Dai, Angela and Niessner, Matthias	PDF	N/A
WildDash - Creating Hazard-Aware Benchmarks	Zendel, Oliver and Honauer, Katrin and Murschitz, Markus and Steininger, Daniel and Fernandez Dominguez, Gustavo	PDF	N/A
Adaptively Transforming Graph Matching	Wang, Fudong and Xue, Nan and Zhang, Yipeng and Bai, Xiang and Xia, Gui-Song	PDF	N/A
Learning to Look around Objects for Top-View Representations of Outdoor Scenes	Schulter, Samuel and Zhai, Menghua and Jacobs, Nathan and Chandraker, Manmohan	PDF	N/A
Visual Psychophysics for Making Face Recognition Algorithms More Explainable	RichardWebster, Brandon and Yon Kwon, So and Clarizio, Christopher and Anthony, Samuel E. and Scheirer, Walter J.	PDF	N/A
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses	Dang, Zheng and Moo Yi, Kwang and Hu, Yinlin and Wang, Fei and Fua, Pascal and Salzmann, Mathieu	PDF	N/A
Deep Domain Generalization via Conditional Invariant Adversarial Networks	Li, Ya and Tian, Xinmei and Gong, Mingming and Liu, Yajing and Liu, Tongliang and Zhang, Kun and Tao, Dacheng	PDF	N/A
Local Spectral Graph Convolution for Point Set Feature Learning	Wang, Chu and Samari, Babak and Siddiqi, Kaleem	PDF	N/A
Fighting Fake News: Image Splice Detection via Learned Self-Consistency	Huh, Minyoung and Liu, Andrew and Owens, Andrew and Efros, Alexei A.	PDF	N/A
Receptive Field Block Net for Accurate and Fast Object Detection	Liu, Songtao and Huang, Di and Wang, andYunhong	PDF	N/A
Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking	Guo, Minghao and Lu, Jiwen and Zhou, Jie	PDF	N/A
Online Multi-Object Tracking with Dual Matching Attention Networks	Zhu, Ji and Yang, Hua and Liu, Nian and Kim, Minyoung and Zhang, Wenjun and Yang, Ming-Hsuan	PDF	N/A
Simultaneous Edge Alignment and Learning	Yu, Zhiding and Liu, Weiyang and Zou, Yang and Feng, Chen and Ramalingam, Srikumar and Vijaya Kumar, B. V. K. and Kautz, Jan	PDF	N/A
Weakly-supervised Video Summarization using Variational Encoder-Decoder and Web Prior	Cai, Sijia and Zuo, Wangmeng and Davis, Larry S. and Zhang, Lei	PDF	N/A
Toward Scale-Invariance and Position-Sensitive Region Proposal Networks	Lu, Hsueh-Fu and Du, Xiaofei and Chang, Ping-Lin	PDF	N/A
Visual Question Answering as a Meta Learning Task	Teney, Damien and van den Hengel, Anton	PDF	N/A
Generative Semantic Manipulation with Mask-Contrasting GAN	Liang, Xiaodan and Zhang, Hao and Lin, Liang and Xing, Eric	PDF	N/A
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners	Hecker, Simon and Dai, Dengxin and Van Gool, Luc	PDF	N/A
Deep High Dynamic Range Imaging with Large Foreground Motions	Wu, Shangzhe and Xu, Jiarui and Tai, Yu-Wing and Tang, Chi-Keung	PDF	N/A
Hierarchical Relational Networks for Group Activity Recognition and Retrieval	Ibrahim, Mostafa S. and Mori, Greg	PDF	N/A
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints	Luo, Zixin and Shen, Tianwei and Zhou, Lei and Zhu, Siyu and Zhang, Runze and Yao, Yao and Fang, Tian and Quan, Long	PDF	N/A
SDC-Net: Video prediction using spatially-displaced convolution	Reda, Fitsum A. and Liu, Guilin and Shih, Kevin J. and Kirby, Robert and Barker, Jon and Tarjan, David and Tao, Andrew and Catanzaro, Bryan	PDF	N/A
Efficient Sliding Window Computation for NN-Based Template Matching	Talker, Lior and Moses, Yael and Shimshoni, Ilan	PDF	N/A
RefocusGAN: Scene Refocusing using a Single Image	Sakurikar, Parikshit and Mehta, Ishit and Balasubramanian, Vineeth N. and Narayanan, P. J.	PDF	N/A
Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization	Alwassel, Humam and Caba Heilbron, Fabian and Ghanem, Bernard	PDF	N/A
Joint Blind Motion Deblurring and Depth Estimation of Light Field	Lee, Dongwoo and Park, Haesol and Kyu Park, In and Mu Lee, Kyoung	PDF	N/A
Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation	Nie, Xuecheng and Feng, Jiashi and Yan, Shuicheng	PDF	N/A
DOCK: Detecting Objects by transferring Common-sense Knowledge	Kumar Singh, Krishna and Divvala, Santosh and Farhadi, Ali and Jae Lee, Yong	PDF	N/A
Simple Baselines for Human Pose Estimation and Tracking	Xiao, Bin and Wu, Haiping and Wei, Yichen	PDF	N/A
PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities	Wang, Lan and Gao, Chenqiang and Yang, Luyu and Zhao, Yue and Zuo, Wangmeng and Meng, Deyu	PDF	N/A
CAR-Net: Clairvoyant Attentive Recurrent Network	Sadeghian, Amir and Legros, Ferdinand and Voisin, Maxime and Vesel, Ricky and Alahi, Alexandre and Savarese, Silvio	PDF	N/A
Dynamic Filtering with Large Sampling Field for ConvNets	Wu, Jialin and Li, Dai and Yang, Yu and Bajaj, Chandrajit and Ji, Xiangyang	PDF	N/A
Learning Category-Specific Mesh Reconstruction from Image Collections	Kanazawa, Angjoo and Tulsiani, Shubham and Efros, Alexei A. and Malik, Jitendra	PDF	N/A
Clustering Convolutional Kernels to Compress Deep Neural Networks	Son, Sanghyun and Nah, Seungjun and Mu Lee, Kyoung	PDF	N/A
CornerNet: Detecting Objects as Paired Keypoints	Law, Hei and Deng, Jia	PDF	N/A
Efficient Dense Point Cloud Object Reconstruction using Deformation Vector Fields	Li, Kejie and Pham, Trung and Zhan, Huangying and Reid, Ian	PDF	N/A
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance	Selvaraju, Ramprasaath R. and Chattopadhyay, Prithvijit and Elhoseiny, Mohamed and Sharma, Tilak and Batra, Dhruv and Parikh, Devi and Lee, Stefan	PDF	N/A
Hashing with Binary Matrix Pursuit	Cakir, Fatih and He, Kun and Sclaroff, Stan	PDF	N/A
Recognition in Terra Incognita	Beery, Sara and Van Horn, Grant and Perona, Pietro	PDF	N/A
Fast and Accurate Intrinsic Symmetry Detection	Nagar, Rajendra and Raman, Shanmuganathan	PDF	N/A
Massively Parallel Video Networks	Carreira, Joao and Patraucean, Viorica and Mazare, Laurent and Zisserman, Andrew and Osindero, Simon	PDF	N/A
ExFuse: Enhancing Feature Fusion for Semantic Segmentation	Zhang, Zhenli and Zhang, Xiangyu and Peng, Chao and Xue, Xiangyang and Sun, Jian	PDF	N/A
Collaborative Deep Reinforcement Learning for Multi-Object Tracking	Ren, Liangliang and Lu, Jiwen and Wang, Zifeng and Tian, Qi and Zhou, Jie	PDF	N/A
Deep Variational Metric Learning	Lin, Xudong and Duan, Yueqi and Dong, Qiyuan and Lu, Jiwen and Zhou, Jie	PDF	N/A
MVTec D2S: Densely Segmented Supermarket Dataset	Follmann, Patrick and Bottger, Tobias and Hartinger, Philipp and Konig, Rebecca and Ulrich, Markus	PDF	N/A
Robust fitting in computer vision: easy or hard?	Chin, Tat-Jun and Cai, Zhipeng and Neumann, Frank	PDF	N/A
Visual Question Generation for Class Acquisition of Unknown Objects	Uehara, Kohei and Tejero-De-Pablos, Antonio and Ushiku, Yoshitaka and Harada, Tatsuya	PDF	N/A
Image Manipulation with Perceptual Discriminators	Sungatullina, Diana and Zakharov, Egor and Ulyanov, Dmitry and Lempitsky, Victor	PDF	N/A
Pairwise Confusion for Fine-Grained Visual Classification	Dubey, Abhimanyu and Gupta, Otkrist and Guo, Pei and Raskar, Ramesh and Farrell, Ryan and Naik, Nikhil	PDF	N/A
Combining 3D Model Contour Energy and Keypoints for Object Tracking	Bugaev, Bogdan and Kryshchenko, Anton and Belov, Roman	PDF	N/A
Quadtree Convolutional Neural Networks	Kumar Jayaraman, Pradeep and Mei, Jianhan and Cai, Jianfei and Zheng, Jianmin	PDF	N/A
Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks	Lee, Siyeong and Hwan An, Gwon and Kang, Suk-Ju	PDF	N/A
Open Set Learning with Counterfactual Images	Neal, Lawrence and Olson, Matthew and Fern, Xiaoli and Wong, Weng-Keen and Li, Fuxin	PDF	N/A
Implicit 3D Orientation Learning for 6D Object Detection from RGB Images	Sundermeyer, Martin and Marton, Zoltan-Csaba and Durner, Maximilian and Brucker, Manuel and Triebel, Rudolph	PDF	N/A
Compressing the Input for CNNs with the First-Order Scattering Transform	Oyallon, Edouard and Belilovsky, Eugene and Zagoruyko, Sergey and Valko, Michal	PDF	N/A
Part-Aligned Bilinear Representations for Person Re-Identification	Suh, Yumin and Wang, Jingdong and Tang, Siyu and Mei, Tao and Mu Lee, Kyoung	PDF	N/A
Sidekick Policy Learning for Active Visual Exploration	Ramakrishnan, Santhosh K. and Grauman, Kristen	PDF	N/A
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration	Eckart, B. and Kim, K. and Kautz, J.	PDF	N/A
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition	Sun, Ming and Yuan, Yuchen and Zhou, Feng and Ding, Errui	PDF	N/A
From Face Recognition to Models of Identity: A Bayesian Approach to Learning about Unknown Identities from Unsupervised Data	Coelho de Castro, Daniel and Nowozin, Sebastian	PDF	N/A
Semi-convolutional Operators for Instance Segmentation	Novotny, David and Albanie, Samuel and Larlus, Diane and Vedaldi, Andrea	PDF	N/A
Bi-box Regression for Pedestrian Detection and Occlusion Estimation	Zhou, Chunluan and Yuan, Junsong	PDF	N/A
Learning Data Terms for Non-blind Deblurring	Dong, Jiangxin and Pan, Jinshan and Sun, Deqing and Su, Zhixun and Yang, Ming-Hsuan	PDF	N/A
Unified Perceptual Parsing for Scene Understanding	Xiao, Tete and Liu, Yingcheng and Zhou, Bolei and Jiang, Yuning and Sun, Jian	PDF	N/A
Face Super-resolution Guided by Facial Component Heatmaps	Yu, Xin and Fernando, Basura and Ghanem, Bernard and Porikli, Fatih and Hartley, Richard	PDF	N/A
Descending, lifting or smoothing: Secrets of robust cost optimization	Zach, Christopher and Bourmaud, Guillaume	PDF	N/A
ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations	Samangouei, Pouya and Saeedi, Ardavan and Nakagawa, Liam and Silberman, Nathan	PDF	N/A
A Unified Framework for Multi-View Multi-Class Object Pose Estimation	Li, Chi and Bai, Jin and Hager, Gregory D.	PDF	N/A
Spatio-Temporal Channel Correlation Networks for Action Classification	Diba, Ali and Fayyaz, Mohsen and Sharma, Vivek and Mahdi Arzani, M. and Yousefzadeh, Rahman and Gall, Juergen and Van Gool, Luc	PDF	N/A
Learning to Reconstruct High-quality 3D Shapes with Cascaded Fully Convolutional Networks	Cao, Yan-Pei and Liu, Zheng-Ning and Kuang, Zheng-Fei and Kobbelt, Leif and Hu, Shi-Min	PDF	N/A
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation	Xiao, Chaowei and Deng, Ruizhi and Li, Bo and Yu, Fisher and Liu, Mingyan and Song, Dawn	PDF	N/A
Deep Bilinear Learning for RGB-D Action Recognition	Hu, Jian-Fang and Zheng, Wei-Shi and Pan, Jiahui and Lai, Jianhuang and Zhang, Jianguo	PDF	N/A
Coded Two-Bucket Cameras for Computer Vision	Wei, Mian and Sarhangnejad, Navid and Xia, Zhengfan and Gusev, Nikita and Katic, Nikola and Genov, Roman and Kutulakos, Kiriakos N.	PDF	N/A
Few-Shot Human Motion Prediction via Meta-Learning	Gui, Liang-Yan and Wang, Yu-Xiong and Ramanan, Deva and Moura, Jose M. F.	PDF	N/A
Recycle-GAN: Unsupervised Video Retargeting	Bansal, Aayush and Ma, Shugao and Ramanan, Deva and Sheikh, Yaser	PDF	N/A
Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net	Pan, Xingang and Luo, Ping and Shi, Jianping and Tang, Xiaoou	PDF	N/A
Learning Shape Priors for Single-View 3D Completion and Reconstruction	Wu, Jiajun and Zhang, Chengkai and Zhang, Xiuming and Zhang, Zhoutong and Freeman, William T. and Tenenbaum, Joshua B.	PDF	N/A
Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks	Li, Minjun and Huang, Haozhi and Ma, Lin and Liu, Wei and Zhang, Tong and Jiang, Yugang	PDF	N/A
Hierarchical Metric Learning and Matching for 2D and 3D Geometric Correspondences	Fathy, Mohammed E. and Tran, Quoc-Huy and Zeeshan Zia, M. and Vernaza, Paul and Chandraker, Manmohan	PDF	N/A
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines	Miraldo, Pedro and Dias, Tiago and Ramalingam, Srikumar	PDF	N/A
Key-Word-Aware Network for Referring Expression Image Segmentation	Shi, Hengcan and Li, Hongliang and Meng, Fanman and Wu, Qingbo	PDF	N/A
Dynamic Conditional Networks for Few-Shot Learning	Zhao, Fang and Zhao, Jian and Yan, Shuicheng and Feng, Jiashi	PDF	N/A
Burst Image Deblurring Using Permutation Invariant Convolutional Neural Networks	Aittala, Miika and Durand, Fredo	PDF	N/A
Learning Type-Aware Embeddings for Fashion Compatibility	Vasileva, Mariya I. and Plummer, Bryan A. and Dusad, Krishna and Rajpal, Shreya and Kumar, Ranjitha and Forsyth, David	PDF	N/A
Learning to Fuse Proposals from Multiple Scanline Optimizations in Semi-Global Matching	Schonberger, Johannes L. and Sinha, Sudipta N. and Pollefeys, Marc	PDF	N/A
Dividing and Aggregating Network for Multi-view Action Recognition	Wang, Dongang and Ouyang, Wanli and Li, Wen and Xu, Dong	PDF	N/A
Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification	Hong, Danfeng and Yokoya, Naoto and Xu, Jian and Zhu, Xiaoxiang	PDF	N/A
Image Inpainting for Irregular Holes Using Partial Convolutions	Liu, Guilin and Reda, Fitsum A. and Shih, Kevin J. and Wang, Ting-Chun and Tao, Andrew and Catanzaro, Bryan	PDF	N/A
CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps	Hongsuck Seo, Paul and Weyand, Tobias and Sim, Jack and Han, Bohyung	PDF	N/A
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	Chen, Liang-Chieh and Zhu, Yukun and Papandreou, George and Schroff, Florian and Adam, Hartwig	PDF	N/A
Large Scale Urban Scene Modeling from MVS Meshes	Zhu, Lingjie and Shen, Shuhan and Gao, Xiang and Hu, Zhanyi	PDF	N/A
Generalized Loss-Sensitive Adversarial Learning with Manifold Margins	Edraki, Marzieh and Qi, Guo-Jun	PDF	N/A
Learning to Detect and Track Visible and Occluded Body Joints in a Virtual World	Fabbri, Matteo and Lanzi, Fabio and Calderara, Simone and Palazzi, Andrea and Vezzani, Roberto and Cucchiara, Rita	PDF	N/A
W-TALC: Weakly-supervised Temporal Activity Localization and Classification	Paul, Sujoy and Roy, Sourya and Roy-Chowdhury, Amit K.	PDF	N/A
Viewpoint Estimation---Insights & Model	Divon, Gilad and Tal, Ayellet	PDF	N/A
Relaxation-Free Deep Hashing via Policy Gradient	Yuan, Xin and Ren, Liangliang and Lu, Jiwen and Zhou, Jie	PDF	N/A
Rolling Shutter Pose and Ego-motion Estimation using Shape-from-Template	Lao, Yizhen and Ait-Aider, Omar and Bartoli, Adrien	PDF	N/A
Learning to Capture Light Fields through a Coded Aperture Camera	Inagaki, Yasutaka and Kobayashi, Yuto and Takahashi, Keita and Fujii, Toshiaki and Nagahara, Hajime	PDF	N/A
Variable Ring Light Imaging: Capturing Transient Subsurface Scattering with An Ordinary Camera	Nishino, Ko and Subpa-asa, Art and Asano, Yuta and Shimano, Mihoko and Sato, Imari	PDF	N/A
Deep Video Generation, Prediction and Completion of Human Action Sequences	Cai, Haoye and Bai, Chunyan and Tai, Yu-Wing and Tang, Chi-Keung	PDF	N/A
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model	Papandreou, George and Zhu, Tyler and Chen, Liang-Chieh and Gidaris, Spyros and Tompson, Jonathan and Murphy, Kevin	PDF	N/A
Robust image stitching with multiple registrations	Herrmann, Charles and Wang, Chen and Strong Bowen, Richard and Keyder, Emil and Krainin, Michael and Liu, Ce and Zabih, Ramin	PDF	N/A
Learning to Solve Nonlinear Least Squares for Monocular Stereo	Clark, Ronald and Bloesch, Michael and Czarnowski, Jan and Leutenegger, Stefan and Davison, Andrew J.	PDF	N/A
Direct Sparse Odometry With Rolling Shutter	Schubert, David and Demmel, Nikolaus and Usenko, Vladyslav and Stuckler, Jorg and Cremers, Daniel	PDF	N/A
A Zero-Shot Framework for Sketch based Image Retrieval	Kiran Yelamarthi, Sasi and Krishna Reddy, Shiva and Mishra, Ashish and Mittal, Anurag	PDF	N/A
Structured Siamese Network for Real-Time Visual Tracking	Zhang, Yunhua and Wang, Lijun and Qi, Jinqing and Wang, Dong and Feng, Mengyang and Lu, Huchuan	PDF	N/A
Selective Zero-Shot Classification with Augmented Attributes	Song, Jie and Shen, Chengchao and Lei, Jie and Zeng, An-Xiang and Ou, Kairi and Tao, Dacheng and Song, Mingli	PDF	N/A
Deep Attention Neural Tensor Network for Visual Question Answering	Bai, Yalong and Fu, Jianlong and Zhao, Tiejun and Mei, Tao	PDF	N/A
Zero-Shot Object Detection	Bansal, Ankan and Sikka, Karan and Sharma, Gaurav and Chellappa, Rama and Divakaran, Ajay	PDF	N/A
Asynchronous, Photometric Feature Tracking using Events and Frames	Gehrig, Daniel and Rebecq, Henri and Gallego, Guillermo and Scaramuzza, Davide	PDF	N/A
Unsupervised Class-Specific Deblurring	Madam Nimisha, Thekke and Sunil, Kumar and Rajagopalan, A. N.	PDF	N/A
Imagine This! Scripts to Compositions to Videos	Gupta, Tanmay and Schwenk, Dustin and Farhadi, Ali and Hoiem, Derek and Kembhavi, Aniruddha	PDF	N/A
Deep Structure Inference Network for Facial Action Unit Recognition	Corneanu, Ciprian and Madadi, Meysam and Escalera, Sergio	PDF	N/A
Action Anticipation with RBF Kernelized Feature Mapping RNN	Shi, Yuge and Fernando, Basura and Hartley, Richard	PDF	N/A
CNN-PS: CNN-based Photometric Stereo for General Non-Convex Surfaces	Ikehata, Satoshi	PDF	N/A
Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation	Song, Tao and Sun, Leiyu and Xie, Di and Sun, Haiming and Pu, Shiliang	PDF	N/A
Summarizing First-Person Videos from Third Persons' Points of View	HO, HSUAN-I and Chiu, Wei-Chen and Frank Wang, Yu-Chiang	PDF	N/A
Snap Angle Prediction for 360° Panoramas	Xiong, Bo and Grauman, Kristen	PDF	N/A
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition	Yin, Guojun and Sheng, Lu and Liu, Bin and Yu, Nenghai and Wang, Xiaogang and Shao, Jing and Change Loy, Chen	PDF	N/A
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images	Wang, Nanyang and Zhang, Yinda and Li, Zhuwen and Fu, Yanwei and Liu, Wei and Jiang, Yu-Gang	PDF	N/A
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation	Li, Yikang and Ouyang, Wanli and Zhou, Bolei and Shi, Jianping and Zhang, Chao and Wang, Xiaogang	PDF	N/A
Reconstruction-based Pairwise Depth Dataset for Depth Image Enhancement Using CNN	Jeon, Junho and Lee, Seungyong	PDF	N/A
Coded Illumination and Imaging for Fluorescence Based Classification	Asano, Yuta and Meguro, Misaki and Wang, Chao and Lam, Antony and Zheng, Yinqiang and Okabe, Takahiro and Sato, Imari	PDF	N/A
Multi-view to Novel view: Synthesizing novel views with Self-Learned Confidence	Sun, Shao-Hua and Huh, Minyoung and Liao, Yuan-Hong and Zhang, Ning and Lim, Joseph J.	PDF	N/A
Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild	Ye, Mang and Lan, Xiangyuan and Yuen, Pong C.	PDF	N/A
Training Binary Weight Networks via Semi-Binary Decomposition	Hu, Qinghao and Li, Gang and Wang, Peisong and Zhang, Yifan and Cheng, Jian	PDF	N/A
Hand Pose Estimation via Latent 2.5D Heatmap Regression	Iqbal, Umar and Molchanov, Pavlo and Breuel Juergen Gall, Thomas and Kautz, Jan	PDF	N/A
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks	Zhang, Dongqing and Yang, Jiaolong and Ye, Dongqiangzi and Hua, Gang	PDF	N/A
Deep Randomized Ensembles for Metric Learning	Xuan, Hong and Souvenir, Richard and Pless, Robert	PDF	N/A
ECO: Efficient Convolutional Network for Online Video Understanding	Zolfaghari, Mohammadreza and Singh, Kamaljeet and Brox, Thomas	PDF	N/A
Proxy Clouds for Live RGB-D Stream Processing and Consolidation	Kaiser, Adrien and Alonso Ybanez Zepeda, Jose and Boubekeur, Tamy	PDF	N/A
Neural Graph Matching Networks for Fewshot 3D Action Recognition	Guo, Michelle and Chou, Edward and Huang, De-An and Song, Shuran and Yeung, Serena and Fei-Fei, Li	PDF	N/A
Stereo relative pose from line and point feature triplets	Vakhitov, Alexander and Lempitsky, Victor and Zheng, Yinqiang	PDF	N/A
A-Contrario Horizon-First Vanishing Point Detection Using Second-Order Grouping Laws	Simon, Gilles and Fond, Antoine and Berger, Marie-Odile	PDF	N/A
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks	Recasens, Adria and Kellnhofer, Petr and Stent, Simon and Matusik, Wojciech and Torralba, Antonio	PDF	N/A
Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association	Chen, Dapeng and Li, Hongsheng and Liu, Xihui and Shen, Yantao and Shao, Jing and Yuan, Zejian and Wang, Xiaogang	PDF	N/A
Less is More: Picking Informative Frames for Video Captioning	Chen, Yangyu and Wang, Shuhui and Zhang, Weigang and Huang, Qingming	PDF	N/A
BodyNet: Volumetric Inference of 3D Human Body Shapes	Varol, Gul and Ceylan, Duygu and Russell, Bryan and Yang, Jimei and Yumer, Ersin and Laptev, Ivan and Schmid, Cordelia	PDF	N/A
Towards Human-Level License Plate Recognition	Zhuang, Jiafan and Hou, Saihui and Wang, Zilei and Zha, Zheng-Jun	PDF	N/A
A Dataset for Lane Instance Segmentation in Urban Environments	Roberts, Brook and Kaltwang, Sebastian and Samangooei, Sina and Pender-Bare, Mark and Tertikas, Konstantinos and Redford, John	PDF	N/A
DeepIM: Deep Iterative Matching for 6D Pose Estimation	Li, Yi and Wang, Gu and Ji, Xiangyang and Xiang, Yu and Fox, Dieter	PDF	N/A
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence	Chaudhry, Arslan and Dokania, Puneet K. and Ajanthan, Thalaiyasingam and Torr, Philip H. S.	PDF	N/A
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers	Park, Eunbyung and Berg, Alexander C.	PDF	N/A
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation	Mehta, Sachin and Rastegari, Mohammad and Caspi, Anat and Shapiro, Linda and Hajishirzi, Hannaneh	PDF	N/A
Wasserstein Divergence for GANs	Wu, Jiqing and Huang, Zhiwu and Thoma, Janine and Acharya, Dinesh and Van Gool, Luc	PDF	N/A
Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane	Cheng, Hao and Lian, Dongze and Gao, Shenghua and Geng, Yanlin	PDF	N/A
C-WSL: Count-guided Weakly Supervised Localization	Gao, Mingfei and Li, Ang and Yu, Ruichi and Morariu, Vlad I. and Davis, Larry S.	PDF	N/A
Goal-Oriented Visual Question Generation via Intermediate Rewards	Zhang, Junjie and Wu, Qi and Shen, Chunhua and Zhang, Jian and Lu, Jianfeng and van den Hengel, Anton	PDF	N/A
ICNet for Real-Time Semantic Segmentation on High-Resolution Images	Zhao, Hengshuang and Qi, Xiaojuan and Shen, Xiaoyong and Shi, Jianping and Jia, Jiaya	PDF	N/A
Multi-Fiber Networks for Video Recognition	Chen, Yunpeng and Kalantidis, Yannis and Li, Jianshu and Yan, Shuicheng and Feng, Jiashi	PDF	N/A
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection	Wei, Yunchao and Shen, Zhiqiang and Cheng, Bowen and Shi, Honghui and Xiong, Jinjun and Feng, Jiashi and Huang, Thomas	PDF	N/A
PARN: Pyramidal Affine Regression Networks for Dense Semantic Correspondence	Jeon, Sangryul and Kim, Seungryong and Min, Dongbo and Sohn, Kwanghoon	PDF	N/A
Super-Identity Convolutional Neural Network for Face Hallucination	Zhang, Kaipeng and Zhang, Zhanpeng and Cheng, Chia-Wen and Hsu, Winston H. and Qiao, Yu and Liu, Wei and Zhang, Tong	PDF	N/A
Look Deeper into Depth: Monocular Depth Estimation with Semantic Booster and Attention-Driven Loss	Jiao, Jianbo and Cao, Ying and Song, Yibing and Lau, Rynson	PDF	N/A
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification	Xie, Saining and Sun, Chen and Huang, Jonathan and Tu, Zhuowen and Murphy, Kevin	PDF	N/A
Domain Adaptation through Synthesis for Unsupervised Person Re-identification	Bak, Slawomir and Carr, Peter and Lalonde, Jean-Francois	PDF	N/A
Learning to Predict Crisp Boundaries	Deng, Ruoxi and Shen, Chunhua and Liu, Shengjun and Wang, Huibing and Liu, Xinru	PDF	N/A
Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting	Liu, Wei and Liao, Shengcai and Hu, Weidong and Liang, Xuezhi and Chen, Xiao	PDF	N/A
Attention-based Ensemble for Deep Metric Learning	Kim, Wonsik and Goyal, Bhavya and Chawla, Kunal and Lee, Jungmin and Kwon, Keunjoo	PDF	N/A
3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration	Jian Yew, Zi and Hee Lee, Gim	PDF	N/A
DCAN: Dual Channel-wise Alignment Networks for Unsupervised Scene Adaptation	Wu, Zuxuan and Han, Xintong and Lin, Yen-Liang and Gokhan Uzunbas, Mustafa and Goldstein, Tom and Nam Lim, Ser and Davis, Larry S.	PDF	N/A
NNEval: Neural Network based Evaluation Metric for Image Captioning	Sharif, Naeha and White, Lyndon and Bennamoun, Mohammed and Afaq Ali Shah, Syed	PDF	N/A
Learning to Segment via Cut-and-Paste	Remez, Tal and Huang, Jonathan and Brown, Matthew	PDF	N/A
Real-Time Hair Rendering using Sequential Adversarial Networks	Wei, Lingyu and Hu, Liwen and Kim, Vladimir and Yumer, Ersin and Li, Hao	PDF	N/A
Learning Human-Object Interactions by Graph Parsing Neural Networks	Qi, Siyuan and Wang, Wenguan and Jia, Baoxiong and Shen, Jianbing and Zhu, Song-Chun	PDF	N/A
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd	Zhang, Shifeng and Wen, Longyin and Bian, Xiao and Lei, Zhen and Li, Stan Z.	PDF	N/A
Linear RGB-D SLAM for Planar Environments	Kim, Pyojin and Coltin, Brian and Jin Kim, H.	PDF	N/A
NAM: Non-Adversarial Unsupervised Domain Mapping	Hoshen, Yedid and Wolf, Lior	PDF	N/A
CrossNet: An End-to-end Reference-based Super Resolution Network using Cross-scale Warping	Zheng, Haitian and Ji, Mengqi and Wang, Haoqian and Liu, Yebin and Fang, Lu	PDF	N/A
Video Object Segmentation with Joint Re-identification and Attention-Aware Mask Propagation	Li, Xiaoxiao and Change Loy, Chen	PDF	N/A
Layer-structured 3D Scene Inference via View Synthesis	Tulsiani, Shubham and Tucker, Richard and Snavely, Noah	PDF	N/A
Facial Expression Recognition with Inconsistently Annotated Datasets	Zeng, Jiabei and Shan, Shiguang and Chen, Xilin	PDF	N/A
Exploiting Vector Fields for Geometric Rectification of Distorted Document Images	MENG, Gaofeng and SU, Yuanqi and WU, Ying and XIANG, Shiming and PAN, Chunhong	PDF	N/A
A+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation	Le, Hieu and Yago Vicente, Tomas F. and Nguyen, Vu and Hoai, Minh and Samaras, Dimitris	PDF	N/A
Lip Movements Generation at a Glance	Chen, Lele and Li, Zhiheng and K Maddox, Ross and Duan, Zhiyao and Xu, Chenliang	PDF	N/A
Domain transfer through deep activation matching	Huang, Haoshuo and Huang, Qixing and Krahenbuhl, Philipp	PDF	N/A
Geolocation Estimation of Photos using a Hierarchical Model and Scene Classification	Muller-Budack, Eric and Pustu-Iren, Kader and Ewerth, Ralph	PDF	N/A
Temporal Relational Reasoning in Videos	Zhou, Bolei and Andonian, Alex and Oliva, Aude and Torralba, Antonio	PDF	N/A
Leveraging Motion Priors in Videos for Improving Human Segmentation	Chen, Yu-Ting and Chang, Wen-Yen and Lu, Hai-Lun and Wu, Tingfan and Sun, Min	PDF	N/A
Sequential Clique Optimization for Video Object Segmentation	Jun Koh, Yeong and Lee, Young-Yoon and Kim, Chang-Su	PDF	N/A
3D Scene Flow from 4D Light Field Gradients	Ma, Sizhuo and Smith, Brandon M. and Gupta, Mohit	PDF	N/A
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation	Wang, Shaofei and Ihler, Alexander and Kording, Konrad and Yarkony, Julian	PDF	N/A
Multi-scale Residual Network for Image Super-Resolution	Li, Juncheng and Fang, Faming and Mei, Kangfu and Zhang, Guixu	PDF	N/A
Efficient Global Point Cloud Registration by Matching Rotation Invariant Features Through Translation Search	Liu, Yinlong and Wang, Chen and Song, Zhijian and Wang, Manning	PDF	N/A
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields	Jing, Yongcheng and Liu, Yang and Yang, Yezhou and Feng, Zunlei and Yu, Yizhou and Tao, Dacheng and Song, Mingli	PDF	N/A
A Modulation Module for Multi-task Learning with Applications in Image Retrieval	Zhao, Xiangyun and Li, Haoxiang and Shen, Xiaohui and Liang, Xiaodan and Wu, Ying	PDF	N/A
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance	Shu, Zhixin and Sahasrabudhe, Mihir and Alp Guler, Riza and Samaras, Dimitris and Paragios, Nikos and Kokkinos, Iasonas	PDF	N/A
ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids	Jayaraman, Dinesh and Gao, Ruohan and Grauman, Kristen	PDF	N/A
Triplet Loss in Siamese Network for Object Tracking	Dong, Xingping and Shen, Jianbing	PDF	N/A
Person Re-identification with Deep Similarity-Guided Graph Neural Network	Shen, Yantao and Li, Hongsheng and Yi, Shuai and Chen, Dapeng and Wang, Xiaogang	PDF	N/A
VSO: Visual Semantic Odometry	Lianos, Konstantinos-Nektarios and Schonberger, Johannes L. and Pollefeys, Marc and Sattler, Torsten	PDF	N/A
Volumetric performance capture from minimal camera viewpoints	Gilbert, Andrew and Volino, Marco and Collomosse, John and Hilton, Adrian	PDF	N/A
Videos as Space-Time Region Graphs	Wang, Xiaolong and Gupta, Abhinav	PDF	N/A
Faces as Lighting Probes via Unsupervised Deep Highlight Extraction	Yi, Renjiao and Zhu, Chenyang and Tan, Ping and Lin, Stephen	PDF	N/A
Unsupervised holistic image generation from key local patches	Lee, Donghoon and Yun, Sangdoo and Choi, Sungjoon and Yoo, Hwiyeon and Yang, Ming-Hsuan and Oh, Songhwai	PDF	N/A
Visual Text Correction	Mazaheri, Amir and Shah, Mubarak	PDF	N/A
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes	Xiao, Taihong and Hong, Jiapeng and Ma, Jinwen	PDF	N/A
Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation	Bahng, Hyojin and Yoo, Seungjoo and Cho, Wonwoong and Keetae Park, David and Wu, Ziming and Ma, Xiaojuan and Choo, Jaegul	PDF	N/A
Teaching Machines to Understand Baseball Games: Large-Scale Baseball Video Database for Multiple Video Understanding Tasks	Shim, Minho and Hwi Kim, Young and Kim, Kyungmin and Joo Kim, Seon	PDF	N/A
Into the Twilight Zone: Depth Estimation using Joint Structure-Stereo Optimization	Sharma, Aashish and Cheong, Loong-Fah	PDF	N/A
Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks	Sarkar, Kripasindhu and Hampiholi, Basavaraj and Varanasi, Kiran and Stricker, Didier	PDF	N/A
Coreset-Based Neural Network Compression	Dubey, Abhimanyu and Chatterjee, Moitreya and Ahuja, Narendra	PDF	N/A
Variational Wasserstein Clustering	Mi, Liang and Zhang, Wen and Gu, Xianfeng and Wang, Yalin	PDF	N/A
Joint Person Segmentation and Identification in Synchronized First- and Third-person Videos	Xu, Mingze and Fan, Chenyou and Wang, Yuchen and Ryoo, Michael S. and Crandall, David J.	PDF	N/A
Zero-shot keyword spotting for visual speech recognition in-the-wild	Stafylakis, Themos and Tzimiropoulos, Georgios	PDF	N/A
ContextVP: Fully Context-Aware Video Prediction	Byeon, Wonmin and Wang, Qin and Kumar Srivastava, Rupesh and Koumoutsakos, Petros	PDF	N/A
Open Set Domain Adaptation by Backpropagation	Saito, Kuniaki and Yamamoto, Shohei and Ushiku, Yoshitaka and Harada, Tatsuya	PDF	N/A
Learn-to-Score: Efficient 3D Scene Exploration by Predicting View Utility	Hepp, Benjamin and Dey, Debadeepta and Sinha, Sudipta N. and Kapoor, Ashish and Joshi, Neel and Hilliges, Otmar	PDF	N/A
Accurate Scene Text Detection through Border Semantics Awareness and Bootstrapping	Xue, Chuhui and Lu, Shijian and Zhan, Fangneng	PDF	N/A
Deep Image Demosaicking using a Cascade of Convolutional Residual Denoising Networks	Kokkinos, Filippos and Lefkimmiatis, Stamatios	PDF	N/A
Good Line Cutting: towards Accurate Pose Tracking of Line-assisted VO/VSLAM	Zhao, Yipu and Vela, Patricio A.	PDF	N/A
Constraint-Aware Deep Neural Network Compression	Chen, Changan and Tung, Frederick and Vedula, Naveen and Mori, Greg	PDF	N/A
Boosted Attention: Leveraging Human Attention for Image Captioning	Chen, Shi and Zhao, Qi	PDF	N/A
Understanding Perceptual and Conceptual Fluency at a Large Scale	Hu, Shengli and Borji, Ali	PDF	N/A
MaskConnect: Connectivity Learning by Gradient Descent	Ahmed, Karim and Torresani, Lorenzo	PDF	N/A
Exploring Visual Relationship for Image Captioning	Yao, Ting and Pan, Yingwei and Li, Yehao and Mei, Tao	PDF	N/A
Diagnosing Error in Temporal Action Detectors	Alwassel, Humam and Caba Heilbron, Fabian and Escorcia, Victor and Ghanem, Bernard	PDF	N/A
Efficient Semantic Scene Completion Network with Spatial Group Convolution	Zhang, Jiahui and Zhao, Hao and Yao, Anbang and Chen, Yurong and Zhang, Li and Liao, Hongen	PDF	N/A
Task-driven Webpage Saliency	Zheng, Quanlong and Jiao, Jianbo and Cao, Ying and Lau, Rynson W.H.	PDF	N/A
Multi-Scale Context Intertwining for Semantic Segmentation	Lin, Di and Ji, Yuanfeng and Lischinski, Dani and Cohen-Or, Daniel and Huang, Hui	PDF	N/A
Multiple-gaze geometry: Inferring novel 3D locations from gazes observed in monocular video	Brau, Ernesto and Guan, Jinyan and Jeffries, Tanya and Barnard, Kobus	PDF	N/A
HybridFusion: Real-Time Performance Capture Using a Single Depth Sensor and Sparse IMUs	Zheng, Zerong and Yu, Tao and Li, Hao and Guo, Kaiwen and Dai, Qionghai and Fang, Lu and Liu, Yebin	PDF	N/A
Macro-Micro Adversarial Network for Human Parsing	Luo, Yawei and Zheng, Zhedong and Zheng, Liang and Guan, Tao and Yu, Junqing and Yang, Yi	PDF	N/A
Pivot Correlational Neural Network for Multimodal Video Categorization	Kang, Sunghun and Kim, Junyeong and Choi, Hyunsoo and Kim, Sungjin and Yoo, Chang D.	PDF	N/A
Semantically Aware Urban 3D Reconstruction with Plane-Based Regularization	Holzmann, Thomas and Maurer, Michael and Fraundorfer, Friedrich and Bischof, Horst	PDF	N/A
AugGAN: Cross Domain Adaptation with GAN-based Data Augmentation	Huang, Sheng-Wei and Lin, Che-Tsung and Chen, Shu-Ping and Wu, Yen-Yi and Hsu, Po-Hao and Lai, Shang-Hong	PDF	N/A
Unsupervised Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training	Zou, Yang and Yu, Zhiding and Vijaya Kumar, B.V.K. and Wang, Jinsong	PDF	N/A
Fictitious GAN: Training GANs with Historical Models	Ge, Hao and Xia, Yin and Chen, Xu and Berry, Randall and Wu, Ying	PDF	N/A
Perturbation Robust Representations of Topological Persistence Diagrams	Som, Anirudh and Thopalli, Kowshik and Natesan Ramamurthy, Karthikeyan and Venkataraman, Vinay and Shukla, Ankita and Turaga, Pavan	PDF	N/A
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures	Dong, Jin-Dong and Cheng, An-Chieh and Juan, Da-Cheng and Wei, Wei and Sun, Min	PDF	N/A
SketchyScene: Richly-Annotated Scene Sketches	Zou, Changqing and Yu, Qian and Du, Ruofei and Mo, Haoran and Song, Yi-Zhe and Xiang, Tao and Gao, Chengying and Chen, Baoquan and Zhang, Hao	PDF	N/A
Contour Knowledge Transfer for Salient Object Detection	Li, Xin and Yang, Fan and Cheng, Hong and Liu, Wei and Shen, Dinggang	PDF	N/A
Scenes-Objects-Actions: A Multi-Task, Multi-Label Video Dataset	Ray, Jamie and Wang, Heng and Tran, Du and Wang, Yufei and Feiszli, Matt and Torresani, Lorenzo and Paluri, Manohar	PDF	N/A
Saliency Detection in 360° Videos	Zhang, Ziheng and Xu, Yanyu and Yu, Jingyi and Gao, Shenghua	PDF	N/A
DetNet: Design Backbone for Object Detection	Li, Zeming and Peng, Chao and Yu, Gang and Zhang, Xiangyu and Deng, Yangdong and Sun, Jian	PDF	N/A
Facial Dynamics Interpreter Network: What are the Important Relations between Local Dynamics for Facial Trait Estimation?	Tae Kim, Seong and Man Ro, Yong	PDF	N/A
Video Object Segmentation by Learning Location-Sensitive Embeddings	Ci, Hai and Wang, Chunyu and Wang, Yizhou	PDF	N/A
Transferable Adversarial Perturbations	Zhou, Wen and Hou, Xin and Chen, Yongjun and Tang, Mengyun and Huang, Xiangqi and Gan, Xiang and Yang, Yong	PDF	N/A
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI	Fan, Zhiwen and Sun, Liyan and Ding, Xinghao and Huang, Yue and Cai, Congbo and Paisley, John	PDF	N/A
GANimation: Anatomically-aware Facial Animation from a Single Image	Pumarola, Albert and Agudo, Antonio and Martinez, Aleix M. and Sanfeliu, Alberto and Moreno-Noguer, Francesc	PDF	N/A
Graph R-CNN for Scene Graph Generation	Yang, Jianwei and Lu, Jiasen and Lee, Stefan and Batra, Dhruv and Parikh, Devi	PDF	N/A
Interpretable Basis Decomposition for Visual Explanation	Zhou, Bolei and Sun, Yiyou and Bau, David and Torralba, Antonio	PDF	N/A
Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-Identification	Karianakis, Nikolaos and Liu, Zicheng and Chen, Yinpeng and Soatto, Stefano	PDF	N/A
ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera	Li, Chao and Zhao, Zheheng and Guo, Xiaohu	PDF	N/A
Deep Metric Learning with Hierarchical Triplet Loss	Ge, Weifeng	PDF	N/A
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification	Prokudin, Sergey and Gehler, Peter and Nowozin, Sebastian	PDF	N/A
Semantic Match Consistency for Long-Term Visual Localization	Toft, Carl and Stenborg, Erik and Hammarstrand, Lars and Brynte, Lucas and Pollefeys, Marc and Sattler, Torsten and Kahl, Fredrik	PDF	N/A
Decouple Learning for Parameterized Image Operators	Fan, Qingnan and Chen, Dongdong and Yuan, Lu and Hua, Gang and Yu, Nenghai and Chen, Baoquan	PDF	N/A
Structural Consistency and Controllability for Diverse Colorization	Messaoud, Safa and Forsyth, David and Schwing, Alexander G.	PDF	N/A
Deep Component Analysis via Alternating Direction Neural Networks	Murdock, Calvin and Chang, MingFang and Lucey, Simon	PDF	N/A
Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification	M Feroz Ali, T and Chaudhuri, Subhasis	PDF	N/A
Pose-Normalized Image Generation for Person Re-identification	Qian, Xuelin and Fu, Yanwei and Xiang, Tao and Wang, Wenxuan and Qiu, Jie and Wu, Yang and Jiang, Yu-Gang and Xue, Xiangyang	PDF	N/A
Cross-Modal Hamming Hashing	Cao, Yue and Liu, Bin and Long, Mingsheng and Wang, Jianmin	PDF	N/A
Modeling Visual Context is Key to Augmenting Object Detection Datasets	Dvornik, Nikita and Mairal, Julien and Schmid, Cordelia	PDF	N/A
ReenactGAN: Learning to Reenact Faces via Boundary Transfer	Wu, Wayne and Zhang, Yunxuan and Li, Cheng and Qian, Chen and Change Loy, Chen	PDF	N/A
Universal Sketch Perceptual Grouping	Li, Ke and Pang, Kaiyue and Song, Jifei and Song, Yi-Zhe and Xiang, Tao and Hospedales, Timothy M. and Zhang, Honggang	PDF	N/A
Compositional Learning for Human Object Interaction	Kato, Keizo and Li, Yin and Gupta, Abhinav	PDF	N/A
Quaternion Equivariant Capsule Networks for 3D Point Clouds	Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari	PDF	N/A
DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares	Yizhak Ben-Shabat, Stephen Gould	PDF	N/A
NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search	Zhichao Lu, Kalyanmoy Deb, Erik Goodman, Wolfgang Banzhaf, Vishnu Naresh Boddeti	PDF	N/A
Describing Textures using Natural Language	Chenyun Wu, Mikayla Timm, Subhransu Maji	PDF	N/A
Empowering Relational Network by Self-Attention Augmented Conditional Random Fields for Group Activity Recognition	Rizard Renanda Adhi Pramono, Yie Tarng Chen, Wen Hsien Fang	PDF	N/A
AiR: Attention with Reasoning Capability	Shi Chen, Ming Jiang, Jinhui Yang, Qi Zhao	PDF	N/A
Self6D: Self-Supervised Monocular 6D Object Pose Estimation	Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab , Federico Tombari	PDF	N/A
Invertible Image Rescaling	Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu	PDF	N/A
Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation	Yingda Xia, Yi Zhang, Fengze Liu, Wei Shen, Alan L. Yuille	PDF	N/A
House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation	Nelson Nauata, Kai-Hung Chang, Chin-Yi Cheng, Greg Mori, Yasutaka Furukawa	PDF	N/A
Crowdsampling the Plenoptic Function	Zhengqi Li, Wenqi Xian, Abe Davis, Noah Snavely	PDF	N/A
VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment	Hanyue Tu, Chunyu Wang, Wenjun Zeng	PDF	N/A
End-to-End Object Detection with Transformers	Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, Sergey Zagoruyko	PDF	N/A
DeepSFM: Structure From Motion Via Deep Bundle Adjustment	Xingkui Wei, Yinda Zhang, Zhuwen Li, Yanwei Fu, Xiangyang Xue	PDF	N/A
Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry	Yifan Xu, Tianqi Fan, Yi Yuan, Gurprit Singh	PDF	N/A
Segment as Points for Efficient Online Multi-Object Tracking and Segmentation	Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang	PDF	N/A
Conditional Convolutions for Instance Segmentation	Zhi Tian, Chunhua Shen, Hao Chen	PDF	N/A
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution	Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew Willis	PDF	N/A
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset	Menglin Jia, Mengyun Shi, Mikhail Sirotenko, Yin Cui, Claire Cardie , Bharath Hariharan, Hartwig Adam, Serge Belongie	PDF	N/A
Privacy Preserving Structure-from-Motion	Marcel Geppert, Viktor Larsson, Pablo Speciale, Johannes L. Schönberger, Marc Pollefeys	PDF	N/A
Rewriting a Deep Generative Model	David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba	PDF	N/A
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets	Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan	PDF	N/A
Long-term Human Motion Prediction with Scene Context	Zhe Cao, Hang Gao, Karttikeya Mangalam, Qi-Zhi Cai, Minh Vo, Jitendra Malik	PDF	N/A
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis	Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng	PDF	N/A
ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes	Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas Guibas	PDF	N/A
MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images	Benjamin Attal, Selena Ling, Aaron Gokaslan, Christian Richardt, James Tompkin	PDF	N/A
Learning and Aggregating Deep Local Descriptors for Instance-level Recognition	Giorgos Tolias, Tomas Jenicek, Ondřej Chum	PDF	N/A
A Consistently Fast and Globally Optimal Solution to the Perspective-n-Point Problem	George Terzakis, Manolis Lourakis	PDF	N/A
Learn to Recover Visible Color for Video Surveillance in a Day	Guangming Wu, Yinqiang Zheng, Zhiling Guo, Zekun Cai, Xiaodan Shi, Xin Ding, Yifei Huang, Yimin Guo, Ryosuke Shibasaki	PDF	N/A
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images	Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han	PDF	N/A
Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation	Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin	PDF	N/A
BorderDet: Border Feature for Dense Object Detection	Han Qiu, Yuchen Ma, Zeming Li, Songtao Liu, Jian Sun	PDF	N/A
Regularization with Latent Space Virtual Adversarial Training	Genki Osada, Budrul Ahsan, Revoti Prasad Bora, Takashi Nishide	PDF	N/A
Du²Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels	Yinda Zhang, Neal Wadhwa, Sergio Orts-Escolano, Christian Häne, Sean Fanello, Rahul Garg	PDF	N/A
Model-Agnostic Boundary-Adversarial Sampling for Test-Time Generalization in Few-Shot learning	Jaekyeom Kim, Hyoungseok Kim, Gunhee Kim	PDF	N/A
Targeted Attack for Deep Hashing based Retrieval	Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang	PDF	N/A
Gradient Centralization: A New Optimization Technique for Deep Neural Networks	Hongwei Yong, Jianqiang Huang, Xiansheng Hua, Lei Zhang	PDF	N/A
Content-Aware Unsupervised Deep Homography Estimation	Jirong Zhang, Chuan Wang, Shuaicheng Liu, Lanpeng Jia, Nianjin Ye, Jue Wang, Ji Zhou, Jian Sun	PDF	N/A
Multi-View Optimization of Local Feature Geometry	Mihai Dusmanu, Johannes L. Schönberger, Marc Pollefeys	PDF	N/A
The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization	Jingjing Shen, Thomas J. Cashman, Qi Ye, Tim Hutton, Toby Sharp, Federica Bogo, Andrew Fitzgibbon, Jamie Shotton	PDF	N/A
Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video	Miao Liu, Siyu Tang, Yin Li, James M. Rehg	PDF	N/A
Learning Stereo from Single Images	Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow, Michael Firman	PDF	N/A
Prototype Rectification for Few-Shot Learning	Jinlu Liu, Liang Song, Yongqiang Qin	PDF	N/A
Learning Feature Descriptors using Camera Pose Supervision	Qianqian Wang, Xiaowei Zhou, Bharath Hariharan, Noah Snavely	PDF	N/A
Semantic Flow for Fast and Accurate Scene Parsing	Xiangtai Li, Ansheng You, Zhen Zhu, Houlong Zhao, Maoke Yang, Kuiyuan Yang, Shaohua Tan, Yunhai Tong	PDF	N/A
Appearance Consensus Driven Self-Supervised Human Mesh Recovery	Jogendra Nath Kundu, Mugalodi Rakesh, Varun Jampani, Rahul Mysore Venkatesh, R. Venkatesh Babu	PDF	N/A
Diffraction Line Imaging	Mark Sheinin, Dinesh N. Reddy, Matthew O’Toole, Srinivasa G. Narasimhan	PDF	N/A
Aligning and Projecting Images to Class-conditional Generative Networks	Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann	PDF	N/A
Suppress and Balance: A Simple Gated Network for Salient Object Detection	Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Lei Zhang	PDF	N/A
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning	Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, Sebastian Scherer	PDF	N/A
Post-Training Piecewise Linear Quantization for Deep Neural Networks	Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph H. Hassoun	PDF	N/A
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification	Yang Zou, Xiaodong Yang, Zhiding Yu, B.V.K. Vijaya Kumar, Jan Kautz	PDF	N/A
In-Home Daily-Life Captioning Using Radio Signals	Lijie Fan, Tianhong Li, Yuan Yuan, Dina Katabi	PDF	N/A
Self-Challenging Improves Cross-Domain Generalization	Zeyi Huang, Haohan Wang, Eric P. Xing, Dong Huang	PDF	N/A
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering	Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu	PDF	N/A
Multitask Learning Strengthens Adversarial Robustness	Chengzhi Mao, Amogh Gupta, Vikram Nitin, Baishakhi Ray, Shuran Song , Junfeng Yang, Carl Vondrick	PDF	N/A
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search	Zhihang Yuan, Bingzhe Wu, Guangyu Sun, Zheng Liang, Shiwan Zhao, Weichen Bi	PDF	N/A
Improving Deep Video Compression by Resolution-adaptive Flow Coding	Zhihao Hu, Zhenghao Chen, Dong Xu, Guo Lu, Wanli Ouyang, Shuhang Gu	PDF	N/A
Motion Capture from Internet Videos	Junting Dong, Qing Shuai, Yuanqing Zhang, Xian Liu, Xiaowei Zhou, Hujun Bao	PDF	N/A
Appearance-Preserving 3D Convolution for Video-based Person Re-identification	Xinqian Gu, Hong Chang, Bingpeng Ma, Hongkai Zhang, Xilin Chen	PDF	N/A
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization	Dylan Campbell, Liu Liu, Stephen Gould	PDF	N/A
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation	Xingang Pan, Xiaohang Zhan, Bo Dai, Dahua Lin, Chen Change Loy, Ping Luo	PDF	N/A
Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures	Mantang Guo, Junhui Hou, Jing Jin, Jie Chen, Lap-Pui Chau	PDF	N/A
Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling	Xuesong Niu, Zitong Yu, Hu Han, Xiaobai Li, Shiguang Shan, Guoying Zhao	PDF	N/A
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction	Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll	PDF	N/A
Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network	Tsai-Shien Chen, Chih-Ting Liu, Chih-Wei Wu, Shao-Yi Chien	PDF	N/A
Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation	Guolei Sun, Wenguan Wang, Jifeng Dai, Luc Van Gool	PDF	N/A
CoReNet: Coherent 3D Scene Reconstruction from a Single RGB Image	Stefan Popov, Pablo Bauszat, Vittorio Ferrari	PDF	N/A
Layer-wise Conditioning Analysis in Exploring the Learning Dynamics of DNNs	Lei Huang, Jie Qin, Li Liu, Fan Zhu, Ling Shao	PDF	N/A
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow	Zachary Teed, Jia Deng	PDF	N/A
Domain-invariant Stereo Matching Networks	Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin Wah, Philip Torr	PDF	N/A
DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling	Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee	PDF	N/A
Content Adaptive and Error Propagation Aware Deep Video Compression	Guo Lu, Chunlei Cai, Xiaoyun Zhang, Li Chen, Wanli Ouyang, Dong Xu , Zhiyong Gao	PDF	N/A
Towards Streaming Perception	Mengtian Li, Yu-Xiong Wang, Deva Ramanan	PDF	N/A
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation	Rakshith Shetty, Mario Fritz, Bernt Schiele	PDF	N/A
Adversarial Generative Grammars for Human Activity Prediction	AJ Piergiovanni, Anelia Angelova, Alexander Toshev, Michael S. Ryoo	PDF	N/A
GDumb: A Simple Approach that Questions Our Progress in Continual Learning	Ameya Prabhu, Philip H. S. Torr, Puneet K. Dokania	PDF	N/A
Learning Lane Graph Representations for Motion Forecasting	Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun	PDF	N/A
What Matters in Unsupervised Optical Flow	Rico Jonschkowski, Austin Stone, Jonathan T. Barron, Ariel Gordon, Kurt Konolige, Anelia Angelova	PDF	N/A
Synthesis and Completion of Facades from Satellite Imagery	Xiaowei Zhang, Christopher May, Daniel Aliaga	PDF	N/A
Mapillary Planet-Scale Depth Dataset	Manuel López Antequera, Pau Gargallo, Markus Hofinger, Samuel Rota Bulò, Yubin Kuang, Peter Kontschieder	PDF	N/A
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction	Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun	PDF	N/A
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters	Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang	PDF	N/A
EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning	Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang	PDF	N/A
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation	Marie-Julie Rakotosaona, Maks Ovsjanikov	PDF	N/A
Cross-Domain Cascaded Deep Translation	Oren Katzir, Dani Lischinski, Daniel Cohen-Or	PDF	N/A
“Look Ma, no landmarks!” – Unsupervised, Model-based Dense Face Alignment	Tatsuro Koizumi, William A. P. Smith	PDF	N/A
Online Invariance Selection for Local Feature Descriptors	Rémi Pautrat, Viktor Larsson, Martin R. Oswald, Marc Pollefeys	PDF	N/A
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations	Hongyu Liu, Bin Jiang, Yibing Song, Wei Huang, Chao Yang	PDF	N/A
TextCaps: a Dataset for Image Captioning with Reading Comprehension	Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, Amanpreet Singh	PDF	N/A
It is not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction	Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon	PDF	N/A
Learning What to Learn for Video Object Segmentation	Goutam Bhat, Felix Järemo Lawin, Martin Danelljan, Andreas Robinson, Michael Felsberg, Luc Van Gool, Radu Timofte	PDF	N/A
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing	Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, Gerard Pons-Moll	PDF	N/A
LIMP: Learning Latent Shape Representations with Metric Preservation Priors	Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà	PDF	N/A
Unsupervised Sketch to Photo Synthesis	Runtao Liu, Qian Yu, Stella X. Yu	PDF	N/A
A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions	Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf , Oliver Bringmann, Matthias Bethge, Wieland Brendel	PDF	N/A
SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification	Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari	PDF	N/A
Hierarchical Face Aging through Disentangled Latent Characteristics	Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun	PDF	N/A
Hybrid Models for Open Set Recognition	Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo	PDF	N/A
TopoGAN: A Topology-Aware Generative Adversarial Network	Fan Wang, Huidong Liu, Dimitris Samaras, Chao Chen	PDF	N/A
Learning to Localize Actions from Moments	Fuchen Long, Ting Yao, Zhaofan Qiu, Xinmei Tian, Jiebo Luo, Tao Mei	PDF	N/A
ForkGAN: Seeing into the Rainy Night	Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi	PDF	N/A
TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning	Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang	PDF	N/A
ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval	Quan Cui, Qing-Yuan Jiang, Xiu-Shen Wei, Wu-Jun Li, Osamu Yoshie	PDF	N/A
TSIT: A Simple and Versatile Framework for Image-to-Image Translation	Liming Jiang, Changxu Zhang, Mingyang Huang, Chunxiao Liu, Jianping Shi, Chen Change Loy	PDF	N/A
ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices	Xiangyu He, Zitao Mo, Ke Cheng, Weixiang Xu, Qinghao Hu, Peisong Wang, Qingshan Liu, Jian Cheng	PDF	N/A
HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation	Can Wang, Jiefeng Li, Wentao Liu, Chen Qian, Cewu Lu	PDF	N/A
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve	Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai	PDF	N/A
A Unified Framework of Surrogate Loss by Refactoring and Interpolation	Lanlan Liu, Mingzhe Wang, Jia Deng	PDF	N/A
Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images	Sai Bi, Zexiang Xu, Kalyan Sunkavalli, Miloš Hašan, Yannick Hold-Geoffroy, David Kriegman, Ravi Ramamoorthi	PDF	N/A
Memory-augmented Dense Predictive Coding for Video Representation Learning	Tengda Han, Weidi Xie, Andrew Zisserman	PDF	N/A
PointMixup: Augmentation for Point Clouds	Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek	PDF	N/A
Identity-Guided Human Semantic Parsing for Person Re-Identification	Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang	PDF	N/A
Learning Gradient Fields for Shape Generation	Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, Bharath Hariharan	PDF	N/A
COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder	Kuniaki Saito, Kate Saenko, Ming-Yu Liu	PDF	N/A
Corner Proposal Network for Anchor-free, Two-stage Object Detection	Kaiwen Duan, Lingxi Xie, Honggang Qi, Song Bai, Qingming Huang, Qi Tian	PDF	N/A
PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click	Henghui Ding, Scott Cohen, Brian Price, Xudong Jiang	PDF	N/A
Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing	Yapeng Tian, Dingzeyu Li, Chenliang Xu	PDF	N/A
Learning Delicate Local Representations for Multi-Person Pose Estimation	Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, Erjin Zhou, Jian Sun	PDF	N/A
Learning to Plan with Uncertain Topological Maps	Edward Beeching, Jilles Dibangoye, Olivier Simonin, Christian Wolf	PDF	N/A
Neural Design Network: Graphic Layout Generation with Constraints	Hsin-Ying Lee, Lu Jiang, Irfan Essa, Phuong B Le, Haifeng Gong, Ming-Hsuan Yang, Weilong Yang	PDF	N/A
Learning Open Set Network with Discriminative Reciprocal Points	Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian	PDF	N/A
Convolutional Occupancy Networks	Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, Andreas Geiger	PDF	N/A
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry	He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory Chirikjian	PDF	N/A
TIDE: A General Toolbox for Identifying Object Detection Errors	Daniel Bolya, Sean Foley, James Hays, Judy Hoffman	PDF	N/A
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding	Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas Guibas, Or Litany	PDF	N/A
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation	Xuefei Ning, Tianchen Zhao, Wenshuo Li, Peng Lei, Yu Wang, Huazhong Yang	PDF	N/A
Circumventing Outliers of AutoAugment with Knowledge Distillation	Longhui Wei, An Xiao, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Qi Tian	PDF	N/A
S2DNet: Learning Image Features for Accurate Sparse-to-Dense Matching	Hugo Germain, Guillaume Bourmaud, Vincent Lepetit	PDF	N/A
RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving	Peixuan Li, Huaici Zhao, Pengfei Liu, Feidao Cao	PDF	N/A
Video Object Segmentation with Episodic Graph Memory Networks	Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool	PDF	N/A
Rethinking Bottleneck Structure for Efficient Mobile Network Design	Daquan Zhou, Qibin Hou, Yunpeng Chen, Jiashi Feng, Shuicheng Yan	PDF	N/A
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks	Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik	PDF	N/A
Towards Part-aware Monocular 3D Human Pose Estimation: An Architecture Search Approach	Zerui Chen, Yan Huang, Hongyuan Yu, Bin Xue, Ke Han, Yiru Guo, Liang Wang	PDF	N/A
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets	Angelina Wang, Arvind Narayanan, Olga Russakovsky	PDF	N/A
Contrastive Learning for Weakly Supervised Phrase Grounding	Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem	PDF	N/A
Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis	Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot	PDF	N/A
Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors	Zuxuan Wu, Ser-Nam Lim, Larry S. Davis, Tom Goldstein	PDF	N/A
TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images	Jianxin Lin, Yingxue Pang, Yingce Xia, Zhibo Chen, Jiebo Luo	PDF	N/A
Semi-Siamese Training for Shallow Face Learning	Hang Du, Hailin Shi, Yuchi Liu, Jun Wang, Zhen Lei, Dan Zeng, Tao Mei	PDF	N/A
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework	Haotao Wang, Shupeng Gui, Haichuan Yang, Ji Liu, Zhangyang Wang	PDF	N/A
Human Interaction Learning on 3D Skeleton Point Clouds for Video Violence Recognition	Yukun Su, Guosheng Lin, Jinhui Zhu, Qingyao Wu	PDF	N/A
Binarized Neural Network for Single Image Super Resolution	Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao	PDF	N/A
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation	Huiyu Wang, Yukun Zhu, Bradley Green, Hartwig Adam, Alan Yuille, Liang-Chieh Chen	PDF	N/A
Adaptive Computationally Efficient Network for Monocular 3D Hand Pose Estimation	Zhipeng Fan, Jun Liu, Yao Wang	PDF	N/A
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking	Jinlong Peng, Changan Wang, Fangbin Wan, Yang Wu, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yanwei Fu	PDF	N/A
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets	Tong Wu, Qingqiu Huang, Ziwei Liu, Yu Wang, Dahua Lin	PDF	N/A
Hamiltonian Dynamics for Real-World Shape Interpolation	Marvin Eisenberger, Daniel Cremers	PDF	N/A
Learning to Scale Multilingual Representations for Vision-Language Tasks	Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer	PDF	N/A
Multi-modal Transformer for Video Retrieval	Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid	PDF	N/A
Feature Representation Matters: End-to-End Learning for Reference-based Image Super-resolution	Yanchun Xie, Jimin Xiao, Mingjie Sun, Chao Yao, Kaizhu Huang	PDF	N/A
RobustFusion: Human Volumetric Capture with Data-driven Visual Cues using a RGBD Camera	Zhuo Su, Lan Xu, Zerong Zheng, Tao Yu, Yebin Liu, Lu Fang	PDF	N/A
Surface Normal Estimation of Tilted Images via Spatial Rectifier	Tien Do, Khiem Vuong, Stergios I. Roumeliotis, Hyun Soo Park	PDF	N/A
Multimodal Shape Completion via Conditional Generative Adversarial Networks	Rundi Wu, Xuelin Chen, Yixin Zhuang, Baoquan Chen	PDF	N/A
Generative Sparse Detection Networks for 3D Single-shot Object Detection	JunYoung Gwak, Christopher Choy, Silvio Savarese	PDF	N/A
Grounded Situation Recognition	Sarah Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi	PDF	N/A
Learning Modality Interaction for Temporal Sentence Localization and Event Captioning in Videos	Shaoxiang Chen, Wenhao Jiang, Wei Liu, Yu-Gang Jiang	PDF	N/A
Unpaired Learning of Deep Image Denoising	Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo	PDF	N/A
Self-supervising Fine-grained Region Similarities for Large-scale Image Localization	Yixiao Ge, Haibo Wang, Feng Zhu, Rui Zhao, Hongsheng Li	PDF	N/A
Rotationally-Temporally Consistent Novel View Synthesis of Human Performance Video	Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Eunbyung Park, Viswanathan Swaminathan, Henry Fuchs	PDF	N/A
Side-Aware Boundary Localization for More Precise Object Detection	Jiaqi Wang, Wenwei Zhang, Yuhang Cao, Kai Chen, Jiangmiao Pang, Tao Gong, Jianping Shi, Chen Change Loy, Dahua Lin	PDF	N/A
SF-Net: Single-Frame Supervision for Temporal Action Localization	Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli, Zheng Shou	PDF	N/A
Negative Margin Matters: Understanding Margin in Few-shot Classification	Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu	PDF	N/A
Particularity beyond Commonality: Unpaired Identity Transfer with Multiple References	Ruizheng Wu, Xin Tao, Yingcong Chen, Xiaoyong Shen, Jiaya Jia	PDF	N/A
Tracking Objects as Points	Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl	PDF	N/A
CPGAN: Content-Parsing Generative Adversarial Networks for Text-to-Image Synthesis	Jiadong Liang, Wenjie Pei, Feng Lu	PDF	N/A
Transporting Labels via Hierarchical Optimal Transport for Semi-Supervised Learning	Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy Dawson, Nasser M. Nasrabadi	PDF	N/A
MTI-Net: Multi-Scale Task Interaction Networks for Multi-Task Learning	Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool	PDF	N/A
Learning to Factorize and Relight a City	Andrew Liu, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros, Noah Snavely	PDF	N/A
Region Graph Embedding Network for Zero-Shot Learning	Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao	PDF	N/A
GRAB: A Dataset of Whole-Body Human Grasping of Objects	Omid Taheri, Nima Ghorbani, Michael J. Black, Dimitrios Tzionas	PDF	N/A
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects	Edgar Tretschk, Ayush Tewari, Michael Zollhöfer, Vladislav Golyanik, Christian Theobalt	PDF	N/A
RANSAC-Flow: Generic Two-stage Image Alignment	Xi Shen, François Darmon, Alexei A. Efros, Mathieu Aubry	PDF	N/A
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds	Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool	PDF	N/A
Neural Object Learning for 6D Pose Estimation Using a Few Cluttered Images	Kiru Park, Timothy Patten, Markus Vincze	PDF	N/A
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking	Jianfeng Yan, Zizhuang Wei, Hongwei Yi, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai	PDF	N/A
Pixel-Pair Occlusion Relationship Map (P2ORM): Formulation, Inference & Application	Xuchong Qiu, Yang Xiao, Chaohui Wang, Renaud Marlet	PDF	N/A
MovieNet: A Holistic Dataset for Movie Understanding	Qingqiu Huang, Yu Xiong, Anyi Rao, Jiaze Wang, Dahua Lin	PDF	N/A
Short-Term and Long-Term Context Aggregation Network for Video Inpainting	Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri	PDF	N/A
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization	Juan Du, Rui Wang, Daniel Cremers	PDF	N/A
Face Super-Resolution Guided by 3D Facial Priors	Xiaobin Hu, Wenqi Ren, John LaMaster, Xiaochun Cao, Xiaoming Li, Zechao Li, Bjoern Menze, Wei Liu	PDF	N/A
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation	Yabin Zhang, Bin Deng, Kui Jia, Lei Zhang	PDF	N/A
Are Labels Necessary for Neural Architecture Search?	Chenxi Liu, Piotr Dollár, Kaiming He, Ross Girshick, Alan Yuille, Saining Xie	PDF	N/A
BLSM: A Bone-Level Skinned Model of the Human Mesh	Haoyang Wang, Riza Alp Güler, Iasonas Kokkinos, George Papandreou, Stefanos Zafeiriou	PDF	N/A
Associative Alignment for Few-shot Image Classification	Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné	PDF	N/A
Cyclic Functional Mapping: Self-supervised Correspondence between Non-isometric Deformable Shapes	Dvir Ginzburg, Dan Raviv	PDF	N/A
View-Invariant Probabilistic Embedding for Human Pose	Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu	PDF	N/A
Contact and Human Dynamics from Monocular Video	Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan Russell, Ruben Villegas, Jimei Yang	PDF	N/A
PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation	Wenxuan Wu, Zhi Yuan Wang, Zhuwen Li, Wei Liu, Li Fuxin	PDF	N/A
Points2Surf Learning Implicit Surfaces from Point Clouds	Philipp Erler, Paul Guerrero, Stefan Ohrhallinger, Niloy J. Mitra, Michael Wimmer	PDF	N/A
Few-Shot Scene-Adaptive Anomaly Detection	Yiwei Lu, Frank Yu, Mahesh Kumar Krishna Reddy, Yang Wang	PDF	N/A
Personalized Face Modeling for Improved Face Reconstruction and Motion Retargeting	Bindita Chaudhuri, Noranart Vesdapunt, Linda Shapiro, Baoyuan Wang	PDF	N/A
Entropy Minimisation Framework for Event-based Vision Model Estimation	Urbano Miguel Nunes, Yiannis Demiris	PDF	N/A
Reconstructing NBA Players	Luyang Zhu, Konstantinos Rematas, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman	PDF	N/A
PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments	Zhiming Chen, Kean Chen, Weiyao Lin, John See, Hui Yu, Yan Ke, Cong Yang	PDF	N/A
TENet: Triple Excitation Network for Video Salient Object Detection	Sucheng Ren, Chu Han, Xin Yang, Guoqiang Han, Shengfeng He	PDF	N/A
Deep Feedback Inverse Problem Solver	Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun	PDF	N/A
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification	Liuyu Xiang, Guiguang Ding, Jungong Han	PDF	N/A
Hallucinating Visual Instances in Total Absentia	Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao	PDF	N/A
Weakly-supervised 3D Shape Completion in the Wild	Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun	PDF	N/A
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image	Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang	PDF	N/A
CLIFFNet for Monocular Depth Estimation with Hierarchical Embedding Loss	Lijun Wang, Jianming Zhang, Yifan Wang, Huchuan Lu, Xiang Ruan	PDF	N/A
Collaborative Video Object Segmentation by Foreground-Background Integration	Zongxin Yang, Yunchao Wei, Yi Yang	PDF	N/A
Adaptive Margin Diversity Regularizer for handling Data Imbalance in Zero-Shot SBIR	Titir Dutta, Anurag Singh, Soma Biswas	PDF	N/A
ETH-XGaze: A Large Scale Dataset for Gaze Estimation under Extreme Head Pose and Gaze Variation	Xucong Zhang, Seonwook Park, Thabo Beeler, Derek Bradley, Siyu Tang , Otmar Hilliges	PDF	N/A
Calibration-free Structure-from-Motion with Calibrated Radial Trifocal Tensors	Viktor Larsson, Nicolas Zobernig, Kasim Taskin, Marc Pollefeys	PDF	N/A
Occupancy Anticipation for Efficient Exploration and Navigation	Santhosh K. Ramakrishnan, Ziad Al-Halah, Kristen Grauman	PDF	N/A
Unified Image and Video Saliency Modeling	Richard Droste, Jianbo Jiao, J. Alison Noble	PDF	N/A
TAO: A Large-Scale Benchmark for Tracking Any Object	Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, Deva Ramanan	PDF	N/A
A Generalization of Otsu’s Method and Minimum Error Thresholding	Jonathan T. Barron	PDF	N/A
A Cordial Sync: Going Beyond Marginal Policies for Multi-Agent Embodied Tasks	Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, Alexander Schwing	PDF	N/A
Big Transfer (BiT): General Visual Representation Learning	Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Joan Puigcerver, Jessica Yung, Sylvain Gelly, Neil Houlsby	PDF	N/A
VisualCOMET: Reasoning about the Dynamic Context of a Still Image	Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, Yejin Choi	PDF	N/A
Few-shot Action Recognition with Permutation-invariant Attention	Hongguang Zhang, Li Zhang, Xiaojuan Qi, Hongdong Li, Philip H. S. Torr, Piotr Koniusz	PDF	N/A
Character Grounding and Re-Identification in Story of Videos and Text Descriptions	Youngjae Yu, Jongseok Kim, Heeseung Yun, Jiwan Chung, Gunhee Kim	PDF	N/A
AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling	Wenshuo Ma, Tingzhong Tian, Hang Xu, Yimin Huang, Zhenguo Li	PDF	N/A
Learning Visual Context by Comparison	Minchul Kim, Jongchan Park, Seil Na, Chang Min Park, Donggeun Yoo	PDF	N/A
Large Scale Holistic Video Understanding	Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool	PDF	N/A
Indirect Local Attacks for Context-aware Semantic Segmentation Networks	Krishna Kanth Nakka, Mathieu Salzmann	PDF	N/A
Predicting Visual Overlap of Images Through Interpretable Non-Metric Box Embeddings	Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow, Daniyar Turmukhambetov	PDF	N/A
Connecting Vision and Language with Localized Narratives	Jordi Pont-Tuset, Jasper Uijlings, Soravit Changpinyo, Radu Soricut, Vittorio Ferrari	PDF	N/A
Adversarial T-shirt! Evading Person Detectors in A Physical World	Kaidi Xu, Gaoyuan Zhang, Sijia Liu, Quanfu Fan, Mengshu Sun, Hongge Chen, Pin-Yu Chen, Yanzhi Wang, Xue Lin	PDF	N/A
Bounding-box Channels for Visual Relationship Detection	Sho Inayoshi, Keita Otani, Antonio Tejero-de-Pablos, Tatsuya Harada	PDF	N/A
Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion	Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto, Konrad Schindler, Tomas Pajdla	PDF	N/A
SRFlow: Learning the Super-Resolution Space with Normalizing Flow	Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte	PDF	N/A
DeepGMR: Learning Latent Gaussian Mixture Models for Registration	Wentao Yuan, Benjamin Eckart, Kihwan Kim, Varun Jampani, Dieter Fox , Jan Kautz	PDF	N/A
Active Perception using Light Curtains for Autonomous Driving	Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held	PDF	N/A
Invertible Neural BRDF for Object Inverse Rendering	Zhe Chen, Shohei Nobuhara, Ko Nishino	PDF	N/A
Semi-supervised Semantic Segmentation via Strong-weak Dual-branch Network	Wenfeng Luo, Meng Yang	PDF	N/A
Practical Deep Raw Image Denoising on Mobile Devices	Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang	PDF	N/A
SoundSpaces: Audio-Visual Navigation in 3D Environments	Changan Chen, Unnat Jain, Carl Schissler, Sebastia Vicenc Amengual Gari, Ziad Al-Halah, Vamsi Krishna Ithapu, Philip Robinson, and Kristen Grauman	PDF	N/A
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization	Yuanhao Zhai, Le Wang, Wei Tang, Qilin Zhang, Junsong Yuan, Gang Hua	PDF	N/A
Erasing Appearance Preservation in Optimization-based Smoothing	Lvmin Zhang, Chengze Li, Yi JI, Chunping Liu, Tien-tsin Wong	PDF	N/A
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler	Tsu-Jui Fu, Xin Eric Wang, Matthew F. Peterson,Scott T. Grafton, Miguel P. Eckstein, William Yang Wang	PDF	N/A
Guided Deep Decoder: Unsupervised Image Pair Fusion	Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, Wei He	PDF	N/A
Filter Style Transfer between Photos	Jonghwa Yim, Jisung Yoo, Won-joon Do, Beomsu Kim, Jihwan Choe	PDF	N/A
JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image	Linpu Fang, Xingyan Liu, Li Liu, Hang Xu, Wenxiong Kang	PDF	N/A
Dynamic Group Convolution for Accelerating Convolutional Neural Networks	Zhuo Su, Linpu Fang, Wenxiong Kang, Dewen Hu, Matti Pietikäinen, Li Liu	PDF	N/A
RD-GAN: Few/Zero-Shot Chinese Character Style Transfer via Radical Decomposition and Rendering	Yaoxiong Huang, Mengchao He, Lianwen Jin, Yongpan Wang	PDF	N/A
Object-Contextual Representations for Semantic Segmentation	Yuhui Yuan, Xilin Chen, Jingdong Wang	PDF	N/A
Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring	Zhihang Zhong, Ye Gao, Yinqiang Zheng, Bo Zheng	PDF	N/A
Joint Semantic Instance Segmentation on Graphs with the Semantic Mutex Watershed	Steffen Wolf, Yuyan Li, Constantin Pape, Alberto Bailoni, Anna Kreshuk, Fred A. Hamprecht	PDF	N/A
Photon-Efficient 3D Imaging with A Non-Local Neural Network	Jiayong Peng, Zhiwei Xiong, Xin Huang, Zheng-Ping Li, Dong Liu, Feihu Xu	PDF	N/A
GeLaTO: Generative Latent Textured Objects	Ricardo Martin-Brualla, Rohit Pandey, Sofien Bouaziz, Matthew Brown, Dan B Goldman	PDF	N/A
Improving Vision-and-Language Navigation with Image-Text Pairs from the Web	Arjun Majumdar, Ayush Shrivastava, Stefan Lee, Peter Anderson, Devi Parikh, Dhruv Batra	PDF	N/A
Directional Temporal Modeling for Action Recognition	Xinyu Li, Bing Shuai, Joseph Tighe	PDF	N/A
Shonan Rotation Averaging: Global Optimality by Surfing SO(p)(n)	Frank Dellaert, David M. Rosen, Jing Wu, Robert Mahony, Luca Carlone	PDF	N/A
Semantic Curiosity for Active Visual Learning	Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, Abhinav Gupta	PDF	N/A
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training	Dongwon Park, Dong Un Kang, Jisoo Kim, Se Young Chun	PDF	N/A
ProgressFace: Scale-Aware Progressive Learning for Face Detection	Jiashu Zhu, Dong Li, Tiantian Han, Lu Tian, Yi Shan	PDF	N/A
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference	Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu	PDF	N/A
CoTeRe-Net: Discovering Collaborative Ternary Relations in Videos	Zhensheng Shi, Cheng Guan, Liangjie Cao, Qianqian Li, Ju Liang, Zhaorui Gu, Haiyong Zheng, Bing Zheng	PDF	N/A
Modeling the Effects of Windshield Refraction for Camera Calibration	Frank Verbiest, Marc Proesmans, Luc Van Gool	PDF	N/A
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search	Prashant Pandey, Aayush Kumar Tyagi, Sameer Ambekar, Prathosh AP	PDF	N/A
PROFIT: A Novel Training Method for sub-4-bit MobileNet Models	Eunhyeok Park, Sungjoo Yoo	PDF	N/A
Visual Relation Grounding in Videos	Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua	PDF	N/A
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows	Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu	PDF	N/A
Controlling Style and Semantics in Weakly-Supervised Image Generation	Dario Pavllo, Aurelien Lucchi, Thomas Hofmann	PDF	N/A
Jointly learning visual motion and confidence from local patches in event cameras	Daniel R. Kepple, Daewon Lee, Colin Prepsius, Volkan Isler, Il Memming Park, Daniel D. Lee	PDF	N/A
SODA: Story Oriented Dense Video Captioning Evaluation Framework	Soichiro Fujita, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata	PDF	N/A
Sketch-Guided Object Localization in Natural Images	Aditay Tripathi, Rajath R. Dani, Anand Mishra and Anirban Chakraborty	PDF	N/A
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses	Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli, Pablo Piantanida, Ismail Ben Ayed	PDF	N/A
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models	Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu	PDF	N/A
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement	William Peebles, John Peebles, Jun-Yan Zhu, Alexei Efros, Antonio Torralba	PDF	N/A
STAR: Sparse Trained Articulated Human Body Regressor	Ahmed A. A. Osman, Timo Bolkart, Michael J. Black	PDF	N/A
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer	Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu	PDF	N/A
Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning	Sihui Luo, Wenwen Pan, Xinchao Wang, Dazhou Wang, Haihong Tang, Mingli Song	PDF	N/A
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians	Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun	PDF	N/A
Learning 3D Part Assembly from a Single Image	Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas	PDF	N/A
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions	Kaichun Mo, He Wang, Xinchen Yan, Leonidas Guibas	PDF	N/A
Highly Efficient Salient Object Detection with 100K Parameters	Shang-Hua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen, Shuicheng Yan	PDF	N/A
HardGAN: A Haze-Aware Representation Distillation GAN for Single Image Dehazing	Qili Deng, Ziling Huang, Chung-Chi Tsai, Chia-Wen Lin	PDF	N/A
Lifespan Age Transformation Synthesis	Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman	PDF	N/A
Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation	Xingchao Peng, Yichen Li, Kate Saenko	PDF	N/A
Simulating Content Consistent Vehicle Datasets with Attribute Descent	Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon	PDF	N/A
Multiview Detection with Feature Perspective Transformation	Yunzhong Hou, Liang Zheng, Stephen Gould	PDF	N/A
Learning Object Relation Graph and Tentative Policy for Visual Navigation	Heming Du, Xin Yu, Liang Zheng	PDF	N/A
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition	Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng	PDF	N/A
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning	Liad Pollak Zuckerman, Eyal Naor, George Pisha, Shai Bagon, Michal Irani	PDF	N/A
Inducing Optimal Attribute Representations for Conditional GANs	Binod Bhattarai, Tae-Kyun Kim	PDF	N/A
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition	Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogerio Feris	PDF	N/A
Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation	Vladimir V. Kniaz, Vladimir A. Knyaz, Fabio Remondino, Artem Bordodymov, Petr Moshkantsev	PDF	N/A
Consistency Guided Scene Flow Estimation	Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu	PDF	N/A
Autoregressive Unsupervised Image Segmentation	Yassine Ouali, Céline Hudelot, Myriam Tami	PDF	N/A
Controllable Image Synthesis via SegVAE	Yen-Chi Cheng, Hsin-Ying Lee, Min Sun, Ming-Hsuan Yang	PDF	N/A
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search	Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang , Jun Wang, Olga Fink	PDF	N/A
Efficient Non-Line-of-Sight Imaging from Transient Sinograms	Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O’Toole	PDF	N/A
Texture Hallucination for Large-Factor Painting Super-Resolution	Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu	PDF	N/A
Learning Progressive Joint Propagation for Human Motion Prediction	Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Xu Yang, Yiheng Zhu, Xiaohui Shen, Ding Liu, Jing Liu, Nadia Magnenat Thalmann	PDF	N/A
Image Stitching and Rectification for Hand-Held Cameras	Bingbing Zhuang, Quoc-Huy Tran	PDF	N/A
ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds	Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Měch	PDF	N/A
The Group Loss for Deep Metric Learning	Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé	PDF	N/A
Learning Object Depth from Camera Motion and Video Object Segmentation	Brent A. Griffin, Jason J. Corso	PDF	N/A
OnlineAugment: Online Data Augmentation with Less Domain Knowledge	Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris, Dimitris Metaxas	PDF	N/A
Learning Pairwise Inter-Plane Relations for Piecewise Planar Reconstruction	Yiming Qian, Yasutaka Furukawa	PDF	N/A
Intra-class Feature Variation Distillation for Semantic Segmentation	Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu	PDF	N/A
Temporal Distinct Representation Learning for Action Recognition	Junwu Weng, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xudong Jiang, Junsong Yuan	PDF	N/A
Representative Graph Neural Network	Changqian Yu, Yifan Liu, Changxin Gao, Chunhua Shen, Nong Sang	PDF	N/A
Deformation-Aware 3D Model Embedding and Retrieval	Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas Guibas	PDF	N/A
Atlas: End-to-End 3D Scene Reconstruction from Posed Images	Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan, Andrew Rabinovich	PDF	N/A
Multiple Class Novelty Detection Under Data Distribution Shift	Poojan Oza, Hien V. Nguyen, Vishal M. Patel	PDF	N/A
Colorization of Depth Map via Disentanglement	Chung-Sheng Lai, Zunzhi You, Ching-Chun Huang, Yi-Hsuan Tsai, Wei-Chen Chiu	PDF	N/A
Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes	Johanna Wald, Torsten Sattler, Stuart Golodetz, Tommaso Cavallari, Federico Tombari	PDF	N/A
GeoGraph: Graph-based multi-view object detection with geometric cues end-to-end	Ahmed Samy Nassar, Stefano D’Aronco, Sébastien Lefèvre, Jan D. Wegner	PDF	N/A
Localizing the Common Action Among a Few Videos	Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek	PDF	N/A
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification	Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky	PDF	N/A
Traffic Accident Benchmark for Causality Recognition	Tackgeun You, Bohyung Han	PDF	N/A
Face Anti-Spoofing with Human Material Perception	Zitong Yu, Xiaobai Li, Xuesong Niu, Jingang Shi, Guoying Zhao	PDF	N/A
How Can I See My Future? FvTraj: Using First-person View for Pedestrian Trajectory Prediction	Huikun Bi, Ruisi Zhang, Tianlu Mao, Zhigang Deng, Zhaoqi Wang	PDF	N/A
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification	Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian	PDF	N/A
NASA Neural Articulated Shape Approximation	Boyang Deng, JP Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, Andrea Tagliasacchi	PDF	N/A
Towards Unique and Informative Captioning of Images	Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky	PDF	N/A
When Does Self-supervision Improve Few-shot Learning?	Jong-Chyi Su, Subhransu Maji, Bharath Hariharan	PDF	N/A
Two-branch Recurrent Network for Isolating Deepfakes in Videos	Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas, Shenoy Pratik Gurudatt, Wael AbdAlmageed	PDF	N/A
Incremental Few-Shot Meta-Learning via Indirect Discriminant Alignment	Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto	PDF	N/A
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models	Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le	PDF	N/A
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation	Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo	PDF	N/A
Global Distance-distributions Separation for Unsupervised Person Re-identification	Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen	PDF	N/A
I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image	Gyeongsik Moon, Kyoung Mu Lee	PDF	N/A
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose	Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee	PDF	N/A
ALRe: Outlier Detection for Guided Refinement	Mingzhu Zhu, Zhang Gao, Junzhi Yu, Bingwei He, Jiantao Liu	PDF	N/A
Weakly-Supervised Crowd Counting Learns from Sorting rather than Locations	Yifan Yang, Guorong Li, Zhe Wu, Li Su, Qingming Huang, Nicu Sebe	PDF	N/A
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition	Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao	PDF	N/A
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection	Carlo Biffi, Steven McDonagh, Philip Torr, Aleš Leonardis, Sarah Parisot	PDF	N/A
Curriculum DeepSDF	Yueqi Duan, Haidong Zhu, He Wang, Li Yi Ram Nevatia, Leonidas J. Guibas	PDF	N/A
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance	Minghua Liu, Xiaoshuai Zhang, Hao Su	PDF	N/A
Improved Adversarial Training via Learned Optimizer	Yuanhao Xiong, Cho-Jui Hsieh	PDF	N/A
Component Divide-and-Conquer for Real-World Image Super-Resolution	Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, Liang Lin	PDF	N/A
Enabling Deep Residual Networks for Weakly Supervised Object Detection	Yunhang Shen, Rongrong Ji, Yan Wang, Zhiwei Chen, Feng Zheng, Feiyue Huang, Yunsheng Wu	PDF	N/A
Deep near-light photometric stereo for spatially varying reflectances	Hiroaki Santo, Michael Waechter, Yasuyuki Matsushita	PDF	N/A
Learning Visual Representations with Caption Annotations	Mert Bulent Sariyildiz, Julien Perez, Diane Larlus	PDF	N/A
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier	Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho, Nuno Vasconcelos	PDF	N/A
Regression of Instance Boundary by Aggregated CNN and GCN	Yanda Meng, Wei Meng, Dongxu Gao, Yitian Zhao, Xiaoyun Yang, Xiaowei Huang, Yalin Zheng	PDF	N/A
Social Adaptive Module for Weakly-supervised Group Activity Recognition	Rui Yan, Lingxi Xie, Jinhui Tang, Xiangbo Shu, Qi Tian	PDF	N/A
RGB-D Salient Object Detection with Cross-Modality Modulation and Selection	Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, Chen Change Loy	PDF	N/A
RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval	Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang	PDF	N/A
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection	Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang, Shuai Yi, Wanli Ouyang	PDF	N/A
Faster Person Re-Identification	Guan’an Wang, Shaogang Gong, Jian Cheng, Zengguang Hou	PDF	N/A
Quantization Guided JPEG Artifact Correction	Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava	PDF	N/A
3PointTM: Faster Measurement of High-Dimensional Transmission Matrices	Yujun Chen, Manoj Kumar Sharma, Ashutosh Sabharwal, Ashok Veeraraghavan, Aswin C. Sankaranarayanan	PDF	N/A
Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer	Xide Xia, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang, Brian Kulis , Jiawen Chen	PDF	N/A
Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction	Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li	PDF	N/A
World-Consistent Video-to-Video Synthesis	Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu	PDF	N/A
Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation	Qi Fan, Lei Ke, Wenjie Pei, Chi-Keung Tang, Yu-Wing Tai	PDF	N/A
GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild	Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh	PDF	N/A
Event-based Asynchronous Sparse Convolutional Networks	Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza	PDF	N/A
AtlantaNet: Inferring the 3D Indoor Layout from a Single 360(∘) Image beyond the Manhattan World Assumption	Giovanni Pintore, Marco Agus, Enrico Gobbetti	PDF	N/A
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification	Xiaofang Wang, Xuehan Xiong, Maxim Neumann, AJ Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, Wei Hua	PDF	N/A
REMIND Your Neural Network to Prevent Catastrophic Forgetting	Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan	PDF	N/A
Image Classification in the Dark using Quanta Image Sensors	Abhiram Gnanasambandam, Stanley H. Chan	PDF	N/A
n-Reference Transfer Learning for Saliency Prediction	Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao	PDF	N/A
Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection	Shuhan Chen, Yun Fu	PDF	N/A
Bottom-Up Temporal Action Localization with Mutual Regularization	Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang, Qi Tian	PDF	N/A
On Modulating the Gradient for Meta-Learning	Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi	PDF	N/A
Domain-Specific Mappings for Generative Adversarial Style Transfer	Hsin-Yu Chang, Zhixiang Wang, Yung-Yu Chuang	PDF	N/A
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning	Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen	PDF	N/A
DHP: Differentiable Meta Pruning via HyperNetworks	Yawei Li, Shuhang Gu, Kai Zhang, Luc Van Gool, Radu Timofte	PDF	N/A
Deep Transferring Quantization	Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu, Mingkui Tan	PDF	N/A
Deep Credible Metric Learning for Unsupervised Domain Adaptation Person Re-identification	Guangyi Chen, Yuhao Lu, Jiwen Lu, Jie Zhou	PDF	N/A
Temporal Coherence or Temporal Motion: Which is More Critical for Video-based Person Re-identification?	Guangyi Chen, Yongming Rao, Jiwen Lu, Jie Zhou	PDF	N/A
Arbitrary-Oriented Object Detection with Circular Smooth Label	Xue Yang, Junchi Yan	PDF	N/A
Learning Event-Driven Video Deblurring and Interpolation	Songnan Lin, Jiawei Zhang, Jinshan Pan, Zhe Jiang, Dongqing Zou, Yongtian Wang, Jing Chen, Jimmy Ren	PDF	N/A
Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Inference	Nelson Nauata, Yasutaka Furukawa	PDF	N/A
Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation	Hang Wang, Minghao Xu, Bingbing Ni, Wenjun Zhang	PDF	N/A
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation	Jiahua Dong, Yang Cong, Gan Sun, Yuyang Liu, Xiaowei Xu	PDF	N/A
Prototype Mixture Models for Few-shot Semantic Segmentation	Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye	PDF	N/A
Webly Supervised Image Classification with Self-Contained Confidence	Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng , Ping Luo, Wayne Zhang	PDF	N/A
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization	Haibao Yu, Qi Han, Jianbo Li, Jianping Shi, Guangliang Cheng, Bin Fan	PDF	N/A
Monocular 3D Object Detection via Feature Domain Adaptation	Xiaoqing Ye, Liang Du, Yifeng Shi, Yingying Li, Xiao Tan, Jianfeng Feng, Errui Ding, Shilei Wen	PDF	N/A
Talking-head Generation with Rhythmic Head Motion	Lele Chen, Guofeng Cui, Celong Liu, Zhong Li, Ziyi Kou, Yi Xu, Chenliang Xu	PDF	N/A
AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation	Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You	PDF	N/A
VPN: Learning Video-Pose Embedding for Activities of Daily Living	Srijan Das, Saurav Sharma, Rui Dai, François Brémond, Monique Thonnat	PDF	N/A
Soft Anchor-Point Object Detection	Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides	PDF	N/A
Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid	Jun Gao, Zian Wang, Jinchen Xuan, Sanja Fidler	PDF	N/A
Soft Expert Reward Learning for Vision-and-Language Navigation	Hu Wang, Qi Wu, Chunhua Shen	PDF	N/A
Part-aware Prototype Network for Few-shot Semantic Segmentation	Yongfei Liu, Xiangyi Zhang, Songyang Zhang, Xuming He	PDF	N/A
Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization	Shujun Wang, Lequan Yu, Caizi Li, Chi-Wing Fu, Pheng-Ann Heng	PDF	N/A
Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos	Mahsa Ehsanpour, Alireza Abedin, Fatemeh Saleh, Javen Shi, Ian Reid , Hamid Rezatofighi	PDF	N/A
Whole-Body Human Pose Estimation in the Wild	Sheng Jin, Lumin Xu, Jin Xu, Can Wang, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo	PDF	N/A
Relative Pose Estimation of Calibrated Cameras with Known SE(3) Invariants	Bo Li, Evgeniy Martyushev, Gim Hee Lee	PDF	N/A
Sequential Convolution and Runge-Kutta Residual Architecture for Image Compressed Sensing	Runkai Zheng, Yinqi Zhang, Daolang Huang, Qingliang Chen	PDF	N/A
Deep Hough Transform for Semantic Line Detection	Qi Han, Kai Zhao, Jun Xu, Ming-Ming Cheng	PDF	N/A
Structured Landmark Detection via Topology-Adapting Deep Graph Learning	Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao	PDF	N/A
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning	Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre	PDF	N/A
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization	Prithvijit Chattopadhyay, Yogesh Balaji, Judy Hoffman	PDF	N/A
Contrastive Learning for Unpaired Image-to-Image Translation	Taesung Park Alexei A. Efros Richard Zhang Jun-Yan Zhu	PDF	N/A
DLow: Diversifying Latent Flows for Diverse Human Motion Prediction	Ye Yuan, Kris Kitani	PDF	N/A
GRNet: Gridding Residual Network for Dense Point Cloud Completion	Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun	PDF	N/A
Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition	Saihui Hou, Chunshui Cao, Xu Liu, Yongzhen Huang	PDF	N/A
Blind Face Restoration via Deep Multi-scale Component Dictionaries	Xiaoming Li, Chaofeng Chen, Shangchen Zhou, Xianhui Lin, Wangmeng Zuo, Lei Zhang	PDF	N/A
Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods	Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim	PDF	N/A
Inequality-Constrained and Robust 3D Face Model Fitting	Evangelos Sariyanidi, Casey J. Zampella, Robert T. Schultz, Birkan Tunc	PDF	N/A
Gabor Layers Enhance Network Robustness	Juan C. Pérez, Motasem Alfarra, Guillaume Jeanneret, Adel Bibi, Ali Thabet, Bernard Ghanem, Pablo Arbeláez	PDF	N/A
Conditional Image Repainting via Semantic Bridge and Piecewise Value Function	Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, Boxin Shi	PDF	N/A
Learnable Cost Volume Using the Cayley Representation	Taihong Xiao, Jinwei Yuan, Deqing Sun, Qifei Wang Xin-Yu Zhang, Kehan Xu, Ming-Hsuan Yang	PDF	N/A
HALO: Hardware-Aware Learning to Optimize	Chaojian Li, Tianlong Chen, Haoran You, Zhangyang Wang, Yingyan Lin	PDF	N/A
Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling	Jia Zheng, Junfei Zhang, Jing Li, Rui Tang, Shenghua Gao, Zihan Zhou	PDF	N/A
BroadFace: Looking at Tens of Thousands of People at Once for Face Recognition	Yonghyun Kim, Wonpyo Park, Jongju Shin	PDF	N/A
Interpretable Visual Reasoning via Probabilistic Formulation under Natural Supervision	Xinzhe Han, Shuhui Wang, Chi Su, Weigang Zhang, Qingming Huang, Qi Tian	PDF	N/A
Domain Adaptive Semantic Segmentation Using Weak Labels	Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker	PDF	N/A
Knowledge Distillation Meets Self-Supervision	Guodong Xu, Ziwei Liu, Xiaoxiao Li, Chen Change Loy	PDF	N/A
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions	Ignacio Rocco, Relja Arandjelović, Josef Sivic	PDF	N/A
Reconstructing the Noise Variance Manifold for Image Denoising	Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory Slabaugh, Stefanos Zafeiriou	PDF	N/A
Occlusion-Aware Depth Estimation with Adaptive Normal Constraints	Xiaoxiao Long, Lingjie Liu, Christian Theobalt, Wenping Wang	PDF	N/A
VisualEchoes: Spatial Image Representation Learning through Echolocation	Ruohan Gao, Changan Chen, Ziad Al-Halah, Carl Schissler, Kristen Grauman	PDF	N/A
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval	Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman	PDF	N/A
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation	Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens	PDF	N/A
Spatially Aware Multimodal Transformers for TextVQA	Yash Kant, Dhruv Batra, Peter Anderson, Alexander Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal	PDF	N/A
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector	Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang	PDF	N/A
URIE: Universal Image Enhancement for Visual Recognition in the Wild	Taeyoung Son Juwon Kang Namyup Kim Sunghyun Cho Suha Kwak	PDF	N/A
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation	Hongwei Yi, Zizhuang Wei, Mingyu Ding, Runze Zhang, Yisong Chen, Guoping Wang, Yu-Wing Tai	PDF	N/A
SPL-MLL: Selecting Predictable Landmarks for Multi-Label Learning	Junbing Li, Changqing Zhang, Pengfei Zhu, Baoyuan Wu, Lei Chen, Qinghua Hu	PDF	N/A
Unpaired Image-to-Image Translation using Adversarial Consistency Loss	Yihao Zhao, Ruihai Wu, Hao Dong	PDF	N/A
Discriminability Distillation in Group Representation Learning	Manyuan Zhang, Guanglu Song, Hang Zhou, Yu Liu	PDF	N/A
Monocular Expressive Body Regression through Body-Driven Attention	Vasileios Choutas, Georgios Pavlakos, Timo Bolkart, Dimitrios Tzionas , Michael J. Black	PDF	N/A
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation	Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng	PDF	N/A
Linguistic Structure Guided Context Modeling for Referring Image Segmentation	Tianrui Hui, Si Liu, Shaofei Huang, Guanbin Li, Sansi Yu, Faxi Zhang, Jizhong Han	PDF	N/A
Federated Visual Classification with Real-World Data Distribution	Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown	PDF	N/A
Robust Re-Identification by Multiple Views Knowledge Distillation	Angelo Porrello, Luca Bergamini, Simone Calderara	PDF	N/A
Defocus Deblurring Using Dual-Pixel Data	Abdullah Abuolaim, Michael S. Brown	PDF	N/A
RhyRNN: Rhythmic RNN for Recognizing Events in Long and Complex Videos	Tianshu Yu, Yikang Li, Baoxin Li	PDF	N/A
Take an Emotion Walk: Perceiving Emotions from Gaits Using Hierarchical Attention Pooling and Affective Mapping	Uttaran Bhattacharya, Christian Roncal, Trisha Mittal, Rohan Chandra , Kyra Kapsaskis, Kurt Gray, Aniket Bera, Dinesh Manocha	PDF	N/A
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning	Liang Liu, Hao Lu, Hongwei Zou, Haipeng Xiong, Zhiguo Cao, Chunhua Shen	PDF	N/A
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks	Yunfei Liu, Xingjun Ma, James Bailey, Feng Lu	PDF	N/A
Learning to Learn with Variational Information Bottleneck for Domain Generalization	Yingjun Du, Jun Xu, Huan Xiong, Qiang Qiu, Xiantong Zhen, Cees G. M. Snoek, Ling Shao	PDF	N/A
Deep Positional and Relational Feature Learning for Rotation-Invariant Point Cloud Analysis	Ruixuan Yu, Xin Wei, Federico Tombari, Jian Sun	PDF	N/A
Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks	Gil Shomron, Ron Banner, Moran Shkolnik, Uri Weiser	PDF	N/A
Layered Neighborhood Expansion for Incremental Multiple Graph Matching	Zixuan Chen, Zhihui Xie, Junchi Yan Yinqiang Zheng, Xiaokang Yang	PDF	N/A
SCAN: Learning to Classify Images without Labels	Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Luc Van Gool	PDF	N/A
Graph convolutional networks for learning with few clean and many noisy labels	Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondřej Chum, Cordelia Schmid	PDF	N/A
Object-and-Action Aware Model for Visual Language Navigation	Yuankai Qi, Zizheng Pan, Shengping Zhang, Anton van den Hengel, Qi Wu	PDF	N/A
A Comprehensive Study of Weight Sharing in Graph Networks for 3D Human Pose Estimation	Kenkun Liu, Rongqi Ding, Zhiming Zou, Le Wang, Wei Tang	PDF	N/A
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution	Wenbo Li, Xin Tao, Taian Guo, Lu Qi, Jiangbo Lu, Jiaya Jia	PDF	N/A
Efficient Semantic Video Segmentation with Per-frame Inference	Yifan Liu, Chunhua Shen, Changqian Yu, Jingdong Wang	PDF	N/A
Increasing the Robustness of Semantic Segmentation Models with Painting-by-Numbers	Christoph Kamann, Carsten Rother	PDF	N/A
Deep Spiking Neural Network: Energy Efficiency Through Time based Coding	Bing Han, Kaushik Roy	PDF	N/A
InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling	Jun Wang, Shiyi Lan, Mingfei Gao, Larry S. Davis	PDF	N/A
Utilizing Patch-level Category Activation Patterns for Multiple Class Novelty Detection	Poojan Oza, Vishal M. Patel	PDF	N/A
People as Scene Probes	Yifan Wang, Brian L. Curless, Steven M. Seitz	PDF	N/A
Mapping in a Cycle: Sinkhorn Regularized Unsupervised Learning for Point Cloud Shapes	Lei Yang, Wenxi Liu, Zhiming Cui, Nenglun Chen, Wenping Wang	PDF	N/A
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions	Matheus Gadelha, Aruni RoyChowdhury, Gopal Sharma, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, Rui Wang, Subhransu Maji	PDF	N/A
TexMesh: Reconstructing Detailed Human Texture and Geometry from RGB-D Video	Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa G. Narasimhan, Minh Vo	PDF	N/A
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost	Mingfei Gao, Zizhao Zhang, Guo Yu, Sercan . Arık, Larry S. Davis, Tomas Pfister	PDF	N/A
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation	Fangyun Wei, Xiao Sun, Hongyang Li, Jingdong Wang, Stephen Lin	PDF	N/A
Modeling 3D Shapes by Reinforcement Learning	Cheng Lin, Tingxiang Fan, Wenping Wang, Matthias Nießner	PDF	N/A
LST-Net: Learning a Convolutional Neural Network with a Learnable Sparse Transform	Lida Li, Kun Wang, Shuai Li, Xiangchu Feng, Lei Zhang	PDF	N/A
Learning What Makes a Difference from Counterfactual Examples and Gradient Supervision	Damien Teney, Ehsan Abbasnedjad, Anton van den Hengel	PDF	N/A
CN: Channel Normalization For Point Cloud Recognition	Zetong Yang, Yanan Sun, Shu Liu, Xiaojuan Qi, Jiaya Jia	PDF	N/A
Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model	Ning Zhang, Junchi Yan	PDF	N/A
AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning	Jianchao Zhu, Liangliang Shi, Junchi Yan, Hongyuan Zha	PDF	N/A
Scene Text Image Super-resolution in the wild	Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai	PDF	N/A
Coupling Explicit and Implicit Surface Representations for Generative 3D Modeling	Omid Poursaeed, Matthew Fisher, Noam Aigerman, Vladimir G. Kim	PDF	N/A
Learning Disentangled Representations with Latent Variation Predictability	Xinqi Zhu, Chang Xu, Dacheng Tao	PDF	N/A
Deep Space-Time Video Upsampling Networks	Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim	PDF	N/A
Large-Scale Few-Shot Learning via Multi-Modal Knowledge Discovery	Shuo Wang, Jun Yue, Jianzhuang Liu, Qi Tian, Meng Wang	PDF	N/A
Fast Video Object Segmentation using the Global Context Module	Yu Li, Zhuoran Shen, Ying Shan	PDF	N/A
Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos	Anurag Arnab, Chen Sun, Arsha Nagrani, Cordelia Schmid	PDF	N/A
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification	Nikita Dvornik, Cordelia Schmid, Julien Mairal	PDF	N/A
MessyTable: Instance Association in Multiple Camera Views	Zhongang Cai, Junzhe Zhang, Daxuan Ren, Cunjun Yu, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Chen Change Loy	PDF	N/A
A Unified Framework for Shot Type Classification Based on Subject Centric Lens	Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, Dahua Lin	PDF	N/A
BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues	Samuel Albanie, Gül Varol, Liliane Momeni, Triantafyllos Afouras, Joon Son Chung, Neil Fox, Andrew Zisserman	PDF	N/A
HTML: A Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization	Neng Qian, Jiayi Wang, Franziska Mueller, Florian Bernard, Vladislav Golyanik, Christian Theobalt	PDF	N/A
CycAs: Self-supervised Cycle Association for Learning Re-identifiable Descriptions	Zhongdao Wang, Jingwei Zhang, Liang Zheng, Yixuan Liu, Yifan Sun, Yali Li, Shengjin Wang	PDF	N/A
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions	Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li	PDF	N/A
Towards Real-Time Multi-Object Tracking	Zhongdao Wang, Liang Zheng, Yixuan Liu, Yali Li, Shengjin Wang	PDF	N/A
A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation	Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng	PDF	N/A
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss	Yang Li, Shichao Kan, Zhihai He	PDF	N/A
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos	Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe	PDF	N/A
Hierarchical Style-based Networks for Motion Synthesis	Jingwei Xu, Huazhe Xu, Bingbing Ni, Xiaokang Yang, Xiaolong Wang, Trevor Darrell	PDF	N/A
Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop	Benjamin Biggs, Oliver Boyne, James Charles, Andrew Fitzgibbon, Roberto Cipolla	PDF	N/A
Learning to Count in the Crowd from Limited Labeled Data	Vishwanath A. Sindagi, Rajeev Yasarla, Deepak Sam Babu, R. Venkatesh Babu, Vishal M. Patel	PDF	N/A
SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection	Hongyuan Du, Linjun Li, Bo Liu, Nuno Vasconcelos	PDF	N/A
Explainable Face Recognition	Jonathan R. Williford, Brandon B. May, Jeffrey Byrne	PDF	N/A
From Shadow Segmentation to Shadow Removal	Hieu Le, Dimitris Samaras	PDF	N/A
Diverse and Admissible Trajectory Prediction through Multimodal Context Understanding	Seong Hyeon Park, Gyubok Lee, Jimin Seo, Manoj Bhat, Minseok Kang, Jonathan Francis, Ashwin Jadhav, Paul Pu Liang, Louis-Philippe Morency	PDF	N/A
CONFIG: Controllable Neural Face Image Generation	Marek Kowalski, Stephan J. Garbin, Virginia Estellers, Tadas Baltrušaitis, Matthew Johnson, Jamie Shotton	PDF	N/A
Single View Metrology in the Wild	Rui Zhu, Xingyi Yang, Yannick Hold-Geoffroy, Federico Perazzi, Jonathan Eisenmann, Kalyan Sunkavalli, Manmohan Chandraker	PDF	N/A
Procedure Planning in Instructional Videos	Chien-Yi Chang, De-An Huang, Danfei Xu, Ehsan Adeli, Li Fei-Fei, Juan Carlos Niebles	PDF	N/A
Funnel Activation for Visual Recognition	Ningning Ma, Xiangyu Zhang, Jian Sun	PDF	N/A
GIQA: Generated Image Quality Assessment	Shuyang Gu, Jianmin Bao, Dong Chen, Fang Wen	PDF	N/A
Adversarial Continual Learning	Sayna Ebrahimi, Franziska Meier, Roberto Calandra, Trevor Darrell, Marcus Rohrbach	PDF	N/A
Adapting Object Detectors with Conditional Domain Normalization	Peng Su, Kun Wang, Xingyu Zeng, Shixiang Tang, Dapeng Chen, Di Qiu , Xiaogang Wang	PDF	N/A
HARD-Net: Hardness-AwaRe Discrimination Network for 3D Early Activity Prediction	Tianjiao Li, Jun Liu, Wei Zhang, Lingyu Duan	PDF	N/A
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth Prediction	Lokender Tiwari, Pan Ji, Quoc-Huy Tran, Bingbing Zhuang, Saket Anand , Manmohan Chandraker	PDF	N/A
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting	Shengcai Liao, Ling Shao	PDF	N/A
Self-supervised Bayesian Deep Learning for Image Recovery with Applications to Compressive Sensing	Tongyao Pang, Yuhui Quan, Hui Ji	PDF	N/A
Graph-PCNN: Two Stage Human Pose Estimation with Graph Pose Refinement	Jian Wang, Xiang Long, Yuan Gao, Errui Ding, Shilei Wen	PDF	N/A
Semi-supervised Learning with a Teacher-student Network for Generalized Attribute Prediction	Minchul Shin	PDF	N/A
Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification	Fang Zhao, Shengcai Liao, Guo-Sen Xie, Jian Zhao, Kaihao Zhang, Ling Shao	PDF	N/A
DPDist: Comparing Point Clouds Using Deep Point Cloud Distance	Dahlia Urbach, Yizhak Ben-Shabat, Michael Lindenbaum	PDF	N/A
Bi-directional Cross-Modality Feature Propagation with Separation-and-Aggregation Gate for RGB-D Semantic Segmentation	Xiaokang Chen, Kwan-Yee Lin, Jingbo Wang, Wayne Wu, Chen Qian, Hongsheng Li, Gang Zeng	PDF	N/A
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference	Zhijian Liu, Zhanghao Wu, Chuang Gan, Ligeng Zhu, Song Han	PDF	N/A
Neural Re-Rendering of Humans from a Single Image	Kripasindhu Sarkar, Dushyant Mehta, Weipeng Xu, Vladislav Golyanik, Christian Theobalt	PDF	N/A
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation	Filippo Aleotti, Fabio Tosi, Li Zhang, Matteo Poggi, Stefano Mattoccia	PDF	N/A
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration	Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. Ren, Chao Dong	PDF	N/A
Why do These Match? Explaining the Behavior of Image Similarity Models	Bryan A. Plummer, Mariya I. Vasileva, Vitali Petsiuk, Kate Saenko, David Forsyth	PDF	N/A
CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing	Xuanhong Chen, Bingbing Ni, Naiyuan Liu, Ziang Liu, Yiliu Jiang, Loc Truong, Qi Tian	PDF	N/A
Progressive Transformers for End-to-End Sign Language Production	Ben Saunders, Necati Cihan Camgoz, Richard Bowden	PDF	N/A
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting	Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, Xiang Bai	PDF	N/A
Making Affine Correspondences Work in Camera Geometry Computation	Daniel Barath, Michal Polic, Wolfgang Förstner, Torsten Sattler, Tomas Pajdla, Zuzana Kukelova	PDF	N/A
Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces	Jiankang Deng, Jia Guo, Tongliang Liu, Mingming Gong, Stefanos Zafeiriou	PDF	N/A
Foley Music: Learning to Generate Music from Videos	Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba	PDF	N/A
Contrastive Multiview Coding	Yonglong Tian, Dilip Krishnan, Phillip Isola	PDF	N/A
Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses	Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan Yuille	PDF	N/A
Generative Low-bitwidth Data Free Quantization	Shoukai Xu, Haokun Li, Bohan Zhuang, Jing Liu, Jiezhang Cao, Chuangrun Liang, Mingkui Tan	PDF	N/A
Local Correlation Consistency for Knowledge Distillation	Xiaojie Li, Jianlong Wu, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian	PDF	N/A
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild	Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, Angjoo Kanazawa	PDF	N/A
Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation	Hang Zhou, Xudong Xu, Dahua Lin, Xiaogang Wang, Ziwei Liu	PDF	N/A
CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations	Yuanhan Zhang, ZhenFei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu	PDF	N/A
Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues	Yuyang Qian, Guojun Yin, Lu Sheng, Zixuan Chen, Jing Shao	PDF	N/A
Weakly-Supervised Cell Tracking via Backward-and-Forward Propagation	Kazuya Nishimura, Junya Hayashida, Chenyang Wang, Dai Fei Elmer Ker, Ryoma Bise	PDF	N/A
SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation	John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak	PDF	N/A
Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization	Zijie Zhuang, Longhui Wei, Lingxi Xie, Tianyu Zhang, Hengheng Zhang , Haozhe Wu, Haizhou Ai, Qi Tian	PDF	N/A
AMLN: Adversarial-based Mutual Learning Network for Online Knowledge Distillation	Xiaobing Zhang, Shijian Lu, Haigang Gong, Zhipeng Luo, Ming Liu	PDF	N/A
Online Multi-modal Person Search in Videos	Jiangyue Xia, Anyi Rao, Qingqiu Huang, Linning Xu, Jiangtao Wen, Dahua Lin	PDF	N/A
Single Image Super-Resolution via a Holistic Attention Network	Ben Niu, Weilei Wen, Wenqi Ren, Xiangde Zhang, Lianping Yang, Shuzhen Wang, Kaihao Zhang, Xiaochun Cao, Haifeng Shen	PDF	N/A
Can You Read Me Now? Content Aware Rectification using Angle Supervision	Amir Markovitz, Inbal Lavi, Or Perel, Shai Mazor, Roee Litman	PDF	N/A
Momentum Batch Normalization for Deep Learning with Small Batch Size	Hongwei Yong, Jianqiang Huang, Deyu Meng, Xiansheng Hua, Lei Zhang	PDF	N/A
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds	Abdullah Hamdi, Sara Rojas, Ali Thabet, Bernard Ghanem	PDF	N/A
Edge-aware Graph Representation Learning and Reasoning for Face Parsing	Gusi Te, Yinglu Liu, Wei Hu, Hailin Shi, Tao Mei	PDF	N/A
BBS-Net: RGB-D Salient Object Detection with a Bifurcated Backbone Strategy Network	Deng-Ping Fan, Yingjie Zhai, Ali Borji, Jufeng Yang, Ling Shao	PDF	N/A
G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences	Behnaz Rezaei, Amirreza Farnoosh, Sarah Ostadabbas	PDF	N/A
H3DNet: 3D Object Detection Using Hybrid Geometric Primitives	Zaiwei Zhang, Bo Sun, Haitao Yang, Qixing Huang	PDF	N/A
Expressive Telepresence via Modular Codec Avatars	Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh	PDF	N/A
Cascade Graph Neural Networks for RGB-D Salient Object Detection	Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu	PDF	N/A
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret	Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh	PDF	N/A
Generating Videos of Zero-Shot Compositions of Actions and Objects	Megha Nawhal, Mengyao Zhai, Andreas Lehrmann, Leonid Sigal, Greg Mori	PDF	N/A
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language	Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang	PDF	N/A
Renovating Parsing R-CNN for Accurate Multiple Human Parsing	Lu Yang, Qing Song, Zhihui Wang, Mengjie Hu, Chun Liu, Xueshi Xin, Wenhe Jia, Songcen Xu	PDF	N/A
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning	Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa	PDF	N/A
Gradient-Induced Co-Saliency Detection	Zhao Zhang, Wenda Jin, Jun Xu, Ming-Ming Cheng	PDF	N/A
Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks	Wending Yan, Robby T. Tan, Dengxin Dai	PDF	N/A
SegFix: Model-Agnostic Boundary Refinement for Segmentation	Yuhui Yuan, Jingyi Xie, Xilin Chen, Jingdong Wang	PDF	N/A
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction	Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, Shuai Yi	PDF	N/A
Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars	Egor Zakharov, Aleksei Ivakhnenko, Aliaksandra Shysheya, Victor Lempitsky	PDF	N/A
Neural Geometric Parser for Single Image Camera Calibration	Jinwoo Lee, Minhyuk Sung, Hyunjoon Lee, Junho Kim	PDF	N/A
Learning Flow-based Feature Warping for Face Frontalization with Illumination Inconsistent Supervision	Yuxiang Wei, Ming Liu, Haolin Wang, Ruifeng Zhu, Guosheng Hu, Wangmeng Zuo	PDF	N/A
Learning Architectures for Binary Networks	Dahyun Kim, Kunal Pratap Singh, Jonghyun Choi	PDF	N/A
Semantic View Synthesis	Hsin-Ping Huang, Hung-Yu Tseng, Hsin-Ying Lee, Jia-Bin Huang	PDF	N/A
An Analysis of Sketched IRLS for Accelerated Sparse Residual Regression	Daichi Iwata, Michael Waechter, Wen-Yan Lin, Yasuyuki Matsushita	PDF	N/A
Relative Pose from Deep Learned Depth and a Single Affine Correspondence	Ivan Eichhardt, Daniel Barath	PDF	N/A
Video Super-Resolution with Recurrent Structure-Detail Network	Takashi Isobe, Xu Jia, Shuhang Gu, Songjiang Li, Shengjin Wang, Qi Tian	PDF	N/A
Shape Adaptor: A Learnable Resizing Module	Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns	PDF	N/A
Shuffle and Attend: Video Domain Adaptation	Jinwoo Choi, Gaurav Sharma, Samuel Schulter, Jia-Bin Huang	PDF	N/A
DRG: Dual Relation Graph for Human-Object Interaction Detection	Chen Gao, Jiarui Xu, Yuliang Zou, Jia-Bin Huang	PDF	N/A
Flow-edge Guided Video Completion	Chen Gao, Ayush Saraf, Jia-Bin Huang, Johannes Kopf	PDF	N/A
End-to-End Trainable Deep Active Contour Models for Automated Image Segmentation: Delineating Buildings in Aerial Imagery	Ali Hatamizadeh, Debleena Sengupta, Demetri Terzopoulos	PDF	N/A
Towards End-to-end Video-based Eye-Tracking	Seonwook Park, Emre Aksan, Xucong Zhang, Otmar Hilliges	PDF	N/A
Generating Handwriting via Decoupled Style Descriptors	Atsunobu Kotani, Stefanie Tellex, James Tompkin	PDF	N/A
LEED: Label-Free Expression Editing via Disentanglement	Rongliang Wu, Shijian Lu	PDF	N/A
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards	Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang	PDF	N/A
Reducing Language Biases in Visual Question Answering with Visually-Grounded Question Encoder	Gouthaman KV, Anurag Mittal	PDF	N/A
Unsupervised Cross-Modal Alignment for Multi-Person 3D Pose Estimation	Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, R. Venkatesh Babu	PDF	N/A
Class-Incremental Domain Adaptation	Jogendra Nath Kundu, Rahul Mysore Venkatesh, Naveen Venkat, Ambareesh Revanur, R. Venkatesh Babu	PDF	N/A
Anti-Bandit Neural Architecture Search for Model Defense	Hanlin Chen, Baochang Zhang, Song Xue, Xuan Gong, Hong Liu, Rongrong Ji, David Doermann	PDF	N/A
Wavelet-Based Dual-Branch Network for Image Demoiréing	Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Aleš Leonardis, Wengang Zhou, Qi Tian	PDF	N/A
Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping	Danai Triantafyllidou, Sean Moran, Steven McDonagh, Sarah Parisot, Gregory Slabaugh	PDF	N/A
Non-Local Spatial Propagation Network for Depth Completion	Jinsun Park, Kyungdon Joo, Zhe Hu, Chi-Kuei Liu, In So Kweon	PDF	N/A
DanbooRegion: An Illustration Region Dataset	Lvmin Zhang, Yi JI, Chunping Liu	PDF	N/A
Event Enhanced High-Quality Image Recovery	Bishan Wang, Jingwei He, Lei Yu, Gui-Song Xia, Wen Yang	PDF	N/A
PackDet: Packed Long-Head Object Detector	Kun Ding, Guojin He, Huxiang Gu, Zisha Zhong, Shiming Xiang, Chunhong Pan	PDF	N/A
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS	Xuefei Ning, Yin Zheng, Tianchen Zhao, Yu Wang, Huazhong Yang	PDF	N/A
Learning Semantic Neural Tree for Human Parsing	Ruyi Ji, Dawei Du, Libo Zhang, Longyin Wen, Yanjun Wu, Chen Zhao, Feiyue Huang, Siwei Lyu	PDF	N/A
Sketching Image Gist: Human-Mimetic Hierarchical Scene Graph Generation	Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen	PDF	N/A
Burst Denoising via Temporally Shifted Wavelet Transforms	Xuejian Rong, Denis Demandolx, Kevin Matzen, Priyam Chatterjee, Yingli Tian	PDF	N/A
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans	Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan Yuille, Le Lu, ChienHung Liao, Adam P. Harrison	PDF	N/A
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction	Junwei Liang, Lu Jiang, Alexander Hauptmann	PDF	N/A
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation	Bowen Chen, Huan Ling, Xiaohui Zeng, Jun Gao, Ziyue Xu, Sanja Fidler	PDF	N/A
Rethinking Pseudo-LiDAR Representation	Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang	PDF	N/A
Deep Multi Depth Panoramas for View Synthesis	Kai-En Lin, Zexiang Xu, Ben Mildenhall, Pratul P. Srinivasan, Yannick Hold-Geoffroy, Stephen DiVerdi, Qi Sun, Kalyan Sunkavalli, Ravi Ramamoorthi	PDF	N/A
MINI-Net: Multiple Instance Ranking Network for Video Highlight Detection	Fa-Ting Hong, Xuanteng Huang, Wei-Hong Li, Wei-Shi Zheng	PDF	N/A
ContactPose: A Dataset of Grasps with Object Contact and Hand Pose	Samarth Brahmbhatt, Chengcheng Tang, Christopher D. Twigg, Charles C. Kemp, James Hays	PDF	N/A
API-Net: Robust Generative Classifier via a Single Discriminator	Xinshuai Dong, Hong Liu, Rongrong Ji, Liujuan Cao, Qixiang Ye, Jianzhuang Liu, Qi Tian	PDF	N/A
Bias-based Universal Adversarial Patch Attack for Automatic Check-out	Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu	PDF	N/A
Imbalanced Continual Learning with Partitioning Reservoir Sampling	Chris Dongjoo Kim, Jinseo Jeong, Gunhee Kim	PDF	N/A
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning	Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W.H. Lau	PDF	N/A
Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework	Haixin Wang, Tianhao Zhang, Muzhi Yu, Jinan Sun, Wei Ye, Chen Wang , Shikun Zhang	PDF	N/A
Efficient Transfer Learning via Joint Adaptation of Network Architecture and Weight	Ming Sun, Haoxuan Dou, Junjie Yan	PDF	N/A
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation	Congcong Li, Dawei Du, Libo Zhang, Longyin Wen, Tiejian Luo, Yanjun Wu, Pengfei Zhu	PDF	N/A
GSIR: Generalizable 3D Shape Interpretation and Reconstruction	Jianren Wang, Zhaoyuan Fang	PDF	N/A
Weakly Supervised 3D Object Detection from Lidar Point Cloud	Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool , Dengxin Dai	PDF	N/A
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation	Inkyu Shin, Sanghyun Woo, Fei Pan, In So Kweon	PDF	N/A
Adaptive Offline Quintuplet Loss for Image-Text Matching	Tianlang Chen, Jiajun Deng, Jiebo Luo	PDF	N/A
Learning Object Placement by Inpainting for Compositional Data Augmentation	Lingzhi Zhang, Tarmily Wen, Jie Min, Jiancong Wang, David Han, Jianbo Shi	PDF	N/A
Deep Vectorization of Technical Drawings	Vage Egiazarian, Oleg Voynov, Alexey Artemov, Denis Volkhonskiy, Aleksandr Safin, Maria Taktasheva, Denis Zorin, Evgeny Burnaev	PDF	N/A
CAD-Deform: Deformable Fitting of CAD Models to 3D Scans	Vladislav Ishimtsev, Alexey Bokhovkin, Alexey Artemov, Savva Ignatyev , Matthias Niessner, Denis Zorin, Evgeny Burnaev	PDF	N/A
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices	Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang	PDF	N/A
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points	Yuexin Ma, Xinge Zhu, Xinjing Cheng, Ruigang Yang, Jiming Liu, Dinesh Manocha	PDF	N/A
Multi-Agent Embodied Question Answering in Interactive Environments	Sinan Tan, Weilai Xiang, Huaping Liu, Di Guo, Fuchun Sun	PDF	N/A
Conditional Sequential Modulation for Efficient Global Image Retouching	Jingwen He, Yihao Liu, Yu Qiao, Chao Dong	PDF	N/A
Segmenting Transparent Objects in the Wild	Enze Xie, Wenjia Wang, Wenhai Wang, Mingyu Ding, Chunhua Shen, Ping Luo	PDF	N/A
Length-Controllable Image Captioning	Chaorui Deng, Ning Ding, Mingkui Tan, Qi Wu	PDF	N/A
Few-Shot Semantic Segmentation with Democratic Attention Networks	Haochen Wang, Xudong Zhang, Yutao Hu, Yandan Yang, Xianbin Cao, Xiantong Zhen	PDF	N/A
Defocus Blur Detection via Depth Distillation	Xiaodong Cun, Chi-Man Pun	PDF	N/A
Motion Guided 3D Pose Estimation from Videos	Jingbo Wang, Sijie Yan, Yuanjun Xiong, Dahua Lin	PDF	N/A
Reflection Separation via Multi-bounce Polarization State Tracing	Rui Li, Simeng Qiu, Guangming Zang, Wolfgang Heidrich	PDF	N/A
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation	Jiale Cao, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao	PDF	N/A
SemanticAdv: Generating Adversarial Examples via Attribute-conditioned Image Editing	Haonan Qiu, Chaowei Xiao, Lei Yang, Xinchen Yan, Honglak Lee, Bo Li	PDF	N/A
Learning with Noisy Class Labels for Instance Segmentation	Longrong Yang, Fanman Meng, Hongliang Li, Qingbo Wu, Qishang Cheng	PDF	N/A
Deep Image Clustering with Category-Style Representation	Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng	PDF	N/A
Self-supervised Motion Representation via Scattering Local Motion Cues	Yuan Tian, Zhaohui Che, Wenbo Bao, Guangtao Zhai, Zhiyong Gao	PDF	N/A
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets	Tian Chen, Shijie An, Yuan Zhang, Chongyang Ma , Huayan Wang, Xiaoyan Guo, Wen Zheng	PDF	N/A
BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation	Junheum Park, Keunsoo Ko, Chul Lee, Chang-Su Kim	PDF	N/A
Hard negative examples are hard, but useful	Hong Xuan, Abby Stylianou, Xiaotong Liu, Robert Pless	PDF	N/A
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions	Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng	PDF	N/A
Video Object Detection via Object-level Temporal Aggregation	Chun-Han Yao, Chen Fang, Xiaohui Shen, Yangyue Wan, Ming-Hsuan Yang	PDF	N/A
Object Detection with a Unified Label Space from Multiple Datasets	Xiangyun Zhao, Samuel Schulter, Gaurav Sharma, Yi-Hsuan Tsai, Manmohan Chandraker, Ying Wu	PDF	N/A
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D	Jonah Philion, Sanja Fidler	PDF	N/A
Comprehensive Image Captioning via Scene Graph Decomposition	Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li	PDF	N/A
Symbiotic Adversarial Learning for Attribute-based Person Search	Yu-Tong Cao, Jingya Wang, Dacheng Tao	PDF	N/A
Amplifying Key Cues for Human-Object-Interaction Detection	Yang Liu, Qingchao Chen, Andrew Zisserman	PDF	N/A
Rethinking Few-shot Image Classification: A Good Embedding is All You Need?	Yonglong Tian, Yue Wang, Dilip Krishnan, Joshua B. Tenenbaum, Phillip Isola	PDF	N/A
Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization	Kyle Min, Jason J. Corso	PDF	N/A
Action Localization through Continual Predictive Learning	Sathyanarayanan Aakur, Sudeep Sarkar	PDF	N/A
Generative View-Correlation Adaptation for Semi-Supervised Multi-View Learning	Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu	PDF	N/A
READ: Reciprocal Attention Discriminator for Image-to-Video Re-Identification	Minho Shim, Hsuan-I Ho, Jinhyung Kim, Dongyoon Wee	PDF	N/A
3D Human Shape Reconstruction from a Polarization Image	Shihao Zou, Xinxin Zuo, Yiming Qian, Sen Wang, Chi Xu, Minglun Gong , Li Cheng	PDF	N/A
The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification	Pirazh Khorramshahi, Neehar Peri, Jun-cheng Chen, Rama Chellappa	PDF	N/A
Improving One-stage Visual Grounding by Recursive Sub-query Construction	Zhengyuan Yang, Tianlang Chen, Liwei Wang, Jiebo Luo	PDF	N/A
Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video	Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song	PDF	N/A
Example-Guided Image Synthesis using Masked Spatial-Channel Attention and Self-Supervision	Haitian Zheng, Haofu Liao, Lele Chen, Wei Xiong, Tianlang Chen, Jiebo Luo	PDF	N/A
Content-Consistent Matching for Domain Adaptive Semantic Segmentation	Guangrui Li, Guoliang Kang, Wu Liu, Yunchao Wei, Yi Yang	PDF	N/A
AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting	Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, ZhiBo Yang, Tong Lu, Chunhua Shen, Ping Luo	PDF	N/A
History Repeats Itself: Human Motion Prediction via Motion Attention	Wei Mao, Miaomiao Liu, Mathieu Salzmann	PDF	N/A
Unsupervised Video Object Segmentation with Joint Hotspot Tracking	Lu Zhang, Jianming Zhang, Zhe Lin, Radomír Měch, Huchuan Lu, You He	PDF	N/A
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach	Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, Stephen Lin	PDF	N/A
CAFE-GAN: Arbitrary Face Attribute Editing with Complementary Attention Feature	Jeong gi Kwak, David K. Han, Hanseok Ko	PDF	N/A
MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection	Xin Lu, Quanquan Li, Buyu Li, Junjie Yan	PDF	N/A
Latent Topic-aware Multi-Label Classification	Jianghong Ma, Yang Liu	PDF	N/A
Finding It at Another Side: A Viewpoint-Adapted Matching Encoder for Change Captioning	Xiangxi Shi, Xu Yang, Jiuxiang Gu, Shafiq Joty, Jianfei Cai	PDF	N/A
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation	Taekyung Kim, Changick Kim	PDF	N/A
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation	Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava	PDF	N/A
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy	Ronghao Guo, Chen Lin, Chuming Li, Keyu Tian, Ming Sun, Lu Sheng, Junjie Yan	PDF	N/A
Classes Matter: A Fine-grained Adversarial Approach to Cross-domain Semantic Segmentation	Haoran Wang, Tong Shen, Wei Zhang, Ling-Yu Duan, Tao Mei	PDF	N/A
Boundary-preserving Mask R-CNN	Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu	PDF	N/A
Self-supervised Single-view 3D Reconstruction via Semantic Consistency	Xueting Li, Sifei Liu, Kihwan Kim, Shalini De Mello, Varun Jampani, Ming-Hsuan Yang, Jan Kautz	PDF	N/A
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation	Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh	PDF	N/A
Learning Monocular Visual Odometry via Self-Supervised Long-Term Modeling	Yuliang Zou, Pan Ji, Quoc-Huy Tran, Jia-Bin Huang, Manmohan Chandraker	PDF	N/A
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation	Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, Jiashi Feng	PDF	N/A
What is Learned in Deep Uncalibrated Photometric Stereo?	Guanying Chen, Michael Waechter, Boxin Shi, Kwan-Yee K. Wong, Yasuyuki Matsushita	PDF	N/A
Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions	Vishwanath A. Sindagi, Poojan Oza, Rajeev Yasarla, Vishal M. Patel	PDF	N/A
Adversarial Ranking Attack and Defense	Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua	PDF	N/A
ReDro: Efficiently Learning Large-sized SPD Visual Representation	Saimunur Rahman, Lei Wang, Changming Sun, Luping Zhou	PDF	N/A
Graph-Based Social Relation Reasoning	Wanhua Li, Yueqi Duan, Jiwen Lu, Jianjiang Feng, Jie Zhou	PDF	N/A
EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection	Tengteng Huang, Zhe Liu, Xiwu Chen, Xiang Bai	PDF	N/A
Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency	Jiaxiang Shang, Tianwei Shen, Shiwei li, Lei Zhou, Mingmin Zhen, Tian Fang, Long Quan	PDF	N/A
Asynchronous Interaction Aggregation for Action Detection	Jiajun Tang, Jin Xia, Xinzhi Mu, Bo Pang, Cewu Lu	PDF	N/A
Shape and Viewpoint without Keypoints	Shubham Goel, Angjoo Kanazawa, Jitendra Malik	PDF	N/A
Learning Attentive and Hierarchical Representations for 3D Shape Recognition	Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao	PDF	N/A
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search	Yibo Hu, Xiang Wu, Ran He	PDF	N/A
Associative3D: Volumetric Reconstruction from Sparse Views	Shengyi Qian, Linyi Jin, David F. Fouhey	PDF	N/A
PlugNet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-Resolution Unit	Yongqiang Mou, Lei Tan, Hui Yang, Jingying Chen, Leyuan Liu, Rui Yan, Yaohong Huang	PDF	N/A
Memory Selection Network for Video Propagation	Ruizheng Wu, Huaijia Lin, Xiaojuan Qi, Jiaya Jia	PDF	N/A
Disentangled Non-local Neural Networks	Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu	PDF	N/A
URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark	Seonguk Seo, Joon-Young Lee, Bohyung Han	PDF	N/A
Generalizing Person Re-Identification by Camera-Aware Invariance Learning and Cross-Domain Mixup	Chuanchen Luo, Chunfeng Song, Zhaoxiang Zhang	PDF	N/A
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks	Yan Liu, Lingqiao Liu, Peng Wang, Pingping Zhang, Yinjie Lei	PDF	N/A
Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training	Hongkai Zhang, Hong Chang, Bingpeng Ma, Naiyan Wang, Xilin Chen	PDF	N/A
Boosting Decision-based Black-box Adversarial Attacks with Random Sign Flip	Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu	PDF	N/A
Knowledge Transfer via Dense Cross-Layer Mutual-Distillation	Anbang Yao, Dawei Sun	PDF	N/A
Matching Guided Distillation	Kaiyu Yue, Jiangfan Deng, Feng Zhou	PDF	N/A
Clustering Driven Deep Autoencoder for Video Anomaly Detection	Yunpeng Chang, Zhigang Tu, Wei Xie, Junsong Yuan	PDF	N/A
Learning to Compose Hypercolumns for Visual Correspondence	Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho	PDF	N/A
Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction	Lei Zhou, Zixin Luo, Mingmin Zhen, Tianwei Shen, Shiwei Li, Zhuofei Huang, Tian Fang, Long Quan	PDF	N/A
Object-based Illumination Estimation with Rendering-aware Neural Networks	Xin Wei, Guojun Chen, Yue Dong, Stephen Lin, Xin Tong	PDF	N/A
Progressive Point Cloud Deconvolution Generation Network	Le Hui, Rui Xu, Jin Xie, Jianjun Qian, Jian Yang	PDF	N/A
SSCGAN: Facial Attribute Editing via Style Skip Connections	Wenqing Chu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji	PDF	N/A
Negative Pseudo Labeling using Class Proportion for Semantic Segmentation in Pathology	Hiroki Tokunaga, Brian Kenji Iwana, Yuki Teramoto, Akihiko Yoshizawa , Ryoma Bise	PDF	N/A
Learn to Propagate Reliably on Noisy Affinity Graphs	Lei Yang, Qingqiu Huang, Huaiyi Huang, Linning Xu, Dahua Lin	PDF	N/A
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search	Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li	PDF	N/A
TANet: Towards Fully Automatic Tooth Arrangement	Guodong Wei, Zhiming Cui, Yumeng Liu, Nenglun Chen, Runnan Chen, Guiqing Li, Wenping Wang	PDF	N/A
UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection	Bumsoo Kim, Taeho Choi, Jaewoo Kang, Hyunwoo J. Kim	PDF	N/A
GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision	Lei Ke, Shichao Li, Yanan Sun, Yu-Wing Tai, Chi-Keung Tang	PDF	N/A
Resolution Switchable Networks for Runtime Efficient Image Recognition	Yikai Wang, Fuchun Sun, Duo Li, Anbang Yao	PDF	N/A
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation	Jianan Zhen, Qi Fang, Jiaming Sun, Wentao Liu, Wei Jiang, Hujun Bao , Xiaowei Zhou	PDF	N/A
Learning to Detect Open Classes for Universal Domain Adaptation	Bo Fu, Zhangjie Cao, Mingsheng Long, Jianmin Wang	PDF	N/A
Visual Compositional Learning for Human-Object Interaction Detection	Zhi Hou, Xiaojiang Peng, Yu Qiao, Dacheng Tao	PDF	N/A
Deep Plastic Surgery: Robust and Controllable Image Editing with Human-Drawn Sketches	Shuai Yang, Zhangyang Wang, Jiaying Liu, Zongming Guo	PDF	N/A
Rethinking Class Activation Mapping for Weakly Supervised Object Localization	Wonho Bae, Junhyug Noh, Gunhee Kim	PDF	N/A
OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features	Anton Osokin, Denis Sumin, Vasily Lomakin	PDF	N/A
Interpretable Neural Network Decoupling	Yuchao Li, Rongrong Ji, Shaohui Lin, Baochang Zhang, Chenqian Yan, Yongjian Wu, Feiyue Huang, Ling Shao	PDF	N/A
Omni-sourced Webly-supervised Learning for Video Recognition	Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin	PDF	N/A
CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending	Hang Xu, Shaoju Wang, Xinyue Cai, Wei Zhang, Xiaodan Liang, Zhenguo Li	PDF	N/A
Contextual-Relation Consistent Domain Adaptation for Semantic Segmentation	Jiaxing Huang, Shijian Lu, Dayan Guan, Xiaobing Zhang	PDF	N/A
Estimating People Flows to Better Count Them in Crowded Scenes	Weizhe Liu, Mathieu Salzmann, Pascal Fua	PDF	N/A
Generate to Adapt: Resolution Adaption Network for Surveillance Face Recognition	Han Fang, Weihong Deng, Yaoyao Zhong, Jiani Hu	PDF	N/A
Learning Feature Embeddings for Discriminant Model based Tracking	Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu	PDF	N/A
WeightNet: Revisiting the Design Space of Weight Networks	Ningning Ma, Xiangyu Zhang, Jiawei Huang, Jian Sun	PDF	N/A
Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift	Ryuhei Takahashi, Atsushi Hashimoto, Motoharu Sonogashira, Masaaki Iiyama	PDF	N/A
Learning Where to Focus for Efficient Video Object Detection	Zhengkai Jiang, Yu Liu, Ceyuan Yang, Jihao Liu, Peng Gao, Qian Zhang, Shiming Xiang, Chunhong Pan	PDF	N/A
Learning Object Permanence from Video	Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik	PDF	N/A
Adaptive Text Recognition through Visual Matching	Chuhan Zhang, Ankush Gupta, Andrew Zisserman	PDF	N/A
Actions as Moving Points	Yixuan Li, Zixu Wang, Limin Wang, Gangshan Wu	PDF	N/A
Learning to Exploit Multiple Vision Modalities by Using Grafted Networks	Yuhuang Hu, Tobi Delbruck, Shih-Chii Liu	PDF	N/A
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild	Alexander Grabner, Yaming Wang, Peizhao Zhang, Peihong Guo, Tong Xiao, Peter Vajda, Peter M. Roth, Vincent Lepetit	PDF	N/A
3D Fluid Flow Reconstruction Using Compact Light Field PIV	Zhong Li, Yu Ji, Jingyi Yu, Jinwei Ye	PDF	N/A
Contextual Diversity for Active Learning	Sharat Agarwal, Himanshu Arora, Saket Anand, Chetan Arora	PDF	N/A
Temporal Aggregate Representations for Long-Range Video Understanding	Fadime Sener, Dipika Singhania, Angela Yao	PDF	N/A
Stochastic Fine-grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition	Zhe Niu, Brian Mak	PDF	N/A
General 3D Room Layout from a Single View by Render-and-Compare	Sinisa Stekovic, Shreyas Hampali, Mahdi Rad, Sayan Deb Sarkar, Friedrich Fraundorfer, Vincent Lepetit	PDF	N/A
Neural Dense Non-Rigid Structure from Motion with Latent Space Constraints	Vikramjit Sidhu, Edgar Tretschk, Vladislav Golyanik, Antonio Agudo, Christian Theobalt	PDF	N/A
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability	Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry McNamara, Aude Oliva	PDF	N/A
Yet Another Intermediate-Level Attack	Qizhang Li, Yiwen Guo, Hao Chen	PDF	N/A
Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction	Chao Li, Xiaohu Guo	PDF	N/A
Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images	Qunliang Xing, Mai Xu, Tianyi Li, Zhenyu Guan	PDF	N/A
PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations	Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Carsten Stoll, Christian Theobalt	PDF	N/A
How does Lipschitz Regularization Influence GAN Training?	Yipeng Qin, Niloy Mitra, Peter Wonka	PDF	N/A
Infrastructure-based Multi-Camera Calibration using Radial Projections	Yukai Lin, Viktor Larsson, Marcel Geppert, Zuzana Kukelova, Marc Pollefeys, Torsten Sattler	PDF	N/A
MotionSqueeze: Neural Motion Feature Learning for Video Understanding	Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho	PDF	N/A
Polarized Optical-Flow Gyroscope	Masada Tzabari, Yoav Y. Schechner	PDF	N/A
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation	Da Li, Timothy Hospedales	PDF	N/A
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning	Yaoyao Liu, Bernt Schiele, Qianru Sun	PDF	N/A
On the Effectiveness of Image Rotation for Open Set Domain Adaptation	Silvia Bucci, Mohammad Reza Loghmani, Tatiana Tommasi	PDF	N/A
Combining Task Predictors via Enhancing Joint Predictability	Kwang In Kim, Christian Richardt, Hyung Jin Chang	PDF	N/A
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection	Jiaxi Wu, Songtao Liu, Di Huang, Yunhong Wang	PDF	N/A
Single-Image Depth Prediction Makes Feature Matching Easier	Carl Toft, Daniyar Turmukhambetov, Torsten Sattler, Fredrik Kahl, Gabriel J. Brostow	PDF	N/A
Deep Reinforced Attention Learning for Quality-Aware Visual Recognition	Duo Li, Qifeng Chen	PDF	N/A
CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization	Yuxi Li, Weiyao Lin, John See, Ning Xu Shugong Xu, Ke Yan, Cong Yang	PDF	N/A
Learning Joint Spatial-Temporal Transformations for Video Inpainting	Yanhong Zeng, Jianlong Fu, Hongyang Chao	PDF	N/A
Single Path One-Shot Neural Architecture Search with Uniform Sampling	Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, Jian Sun	PDF	N/A
Learning to Generate Novel Domains for Domain Generalization	Kaiyang Zhou, Yongxin Yang, Timothy Hospedales, Tao Xiang	PDF	N/A
Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections	Theodora Kontogianni, Michael Gygli, Jasper Uijlings, Vittorio Ferrari	PDF	N/A
Impact of base dataset design on few-shot image classification	Othman Sbai, Camille Couprie, Mathieu Aubry	PDF	N/A
Invertible Zero-Shot Recognition Flows	Yuming Shen, Jie Qin, Lei Huang, Li Liu, Fan Zhu, Ling Shao	PDF	N/A
GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes	Weidong Zhang, Wei Zhang, Yinda Zhang	PDF	N/A
Location Sensitive Image Retrieval and Tagging	Raul Gomez, Jaume Gibert, Lluis Gomez, Dimosthenis Karatzas	PDF	N/A
Joint 3D Layout and Depth Prediction from a Single Indoor Panorama Image	Wei Zeng, Sezer Karaoglu, Theo Gevers	PDF	N/A
Guessing State Tracking for Visual Dialogue	Wei Pang, Xiaojie Wang	PDF	N/A
Memory-Efficient Incremental Learning Through Feature Adaptation	Ahmet Iscen, Jeffrey Zhang, Svetlana Lazebnik, Cordelia Schmid	PDF	N/A
Neural Voice Puppetry: Audio-driven Facial Reenactment	Justus Thies, Mohamed Elgharib, Ayush Tewari, Christian Theobalt, Matthias Nießner	PDF	N/A
One-Shot Unsupervised Cross-Domain Detection	Antonio D’Innocente, Francesco Cappio Borlino, Silvia Bucci, Barbara Caputo, Tatiana Tommasi	PDF	N/A
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks	Majed El Helou, Ruofan Zhou, Sabine Süsstrunk	PDF	N/A
Probabilistic Future Prediction for Video Scene Understanding	Anthony Hu, Fergal Cotter, Nikhil Mohan, Corina Gurau, Alex Kendall	PDF	N/A
Suppressing Mislabeled Data via Grouping and Self-Attention	Xiaojiang Peng, Kai Wang, Zhaoyang Zeng, Qing Li, Jianfei Yang, Yu Qiao	PDF	N/A
Class-wise Dynamic Graph Convolution for Semantic Segmentation	Hanzhe Hu, Deyi Ji, Weihao Gan, Shuai Bai, Wei Wu, Junjie Yan	PDF	N/A
Character-Preserving Coherent Story Visualization	Yun-Zhu Song, Zhi Rui Tam, Hung-Jen Chen, Huiao-Han Lu, Hong-Han Shuai	PDF	N/A
GINet: Graph Interaction Network for Scene Parsing	Tianyi Wu, Yu Lu, Yu Zhu, Chuang Zhang, MingWu, Zhanyu Ma, Guodong Guo	PDF	N/A
Tensor Low-Rank Reconstruction for Semantic Segmentation	Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen , Bei Yu	PDF	N/A
Attentive Normalization	Xilai Li, Wei Sun, Tianfu Wu	PDF	N/A
Count- and Similarity-aware R-CNN for Pedestrian Detection	Jin Xie, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang, Ling Shao, Mubarak Shah	PDF	N/A
TRADI: Tracking Deep Neural network Weight Distributions	Gianni Franchi, Andrei Bursuc, Emanuel Aldea, Séverine Dubuisson, Isabelle Bloch	PDF	N/A
Spatiotemporal Attacks for Embodied Agents	Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, Dacheng Tao	PDF	N/A
Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model without Manual Annotation	Qingqiu Huang, Lei Yang, Huaiyi Huang, Tong Wu, Dahua Lin	PDF	N/A
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild	Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A Efros, Jingwan Lu	PDF	N/A
Design and Interpretation of Universal Adversarial Patches in Face Detection	Xiao Yang, Fangyun Wei, Hongyang Zhang, Jun Zhu	PDF	N/A
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild	Yang Xiao, Renaud Marlet	PDF	N/A
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints	Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Otmar Hilliges, Jan Kautz	PDF	N/A
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification	Mang Ye, Jianbing Shen, David J. Crandall, Ling Shao, Jiebo Luo	PDF	N/A
Contextual Heterogeneous Graph Network for Human-Object Interaction Detection	Hai Wang, Wei-shi Zheng, Ling Yingbiao	PDF	N/A
Zero-Shot Image Super-Resolution with Depth Guided Internal Degradation Learning	Xi Cheng, Zhenyong Fu, Jian Yang	PDF	N/A
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration	Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi	PDF	N/A
Interactive Video Object Segmentation Using Global and Local Transfer Modules	Yuk Heo, Yeong Jun Koh, Chang-Su Kim	PDF	N/A
End-to-end Interpretable Learning of Non-blind Image Deblurring	Thomas Eboli, Jian Sun, Jean Ponce	PDF	N/A
Employing Multi-Estimations for Weakly-Supervised Semantic Segmentation	Junsong Fan, Zhaoxiang Zhang, Tieniu Tan	PDF	N/A
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection	Jing Zhang, Jianwen Xie, Nick Barnes	PDF	N/A
Rethinking Image Deraining via Rain Streaks and Vapors	Yinglong Wang, Yibing Song, Chao Ma, Bing Zeng	PDF	N/A
Finding Non-Uniform Quantization Schemes using Multi-Task Gaussian Processes	Marcelo Gennari do Nascimento, Theo W. Costain, Victor Adrian Prisacariu	PDF	N/A
Is Sharing of Egocentric Video Giving Away Your Biometric Signature?	Daksh Thapar, Chetan Arora, Aditya Nigam	PDF	N/A
Captioning Images Taken by People Who Are Blind	Danna Gurari, Yinan Zhao, Meng Zhang, Nilavra Bhattacharya	PDF	N/A
Improving Semantic Segmentation via Decoupled Body and Edge Supervision	Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong	PDF	N/A
Conditional Entropy Coding for Efficient Video Compression	Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun	PDF	N/A
Differentiable Feature Aggregation Search for Knowledge Distillation	Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang	PDF	N/A
Attention Guided Anomaly Localization in Images	Shashanka Venkataramanan, Kuan-Chuan Peng, Rajat Vikram Singh, Abhijit Mahalanobis	PDF	N/A
Self-supervised Video Representation Learning by Pace Prediction	Jiangliu Wang, Jianbo Jiao, Yun-Hui Liu	PDF	N/A
Full-Body Awareness from Partial Observations	Chris Rockwell, David F. Fouhey	PDF	N/A
Reinforced Axial Refinement Network for Monocular 3D Object Detection	Lijie Liu, Chufan Wu, Jiwen Lu, Lingxi Xie, Jie Zhou, Qi Tian	PDF	N/A
Self-Supervised Multi-Task Procedure Learning from Instructional Videos	Ehsan Elhamifar, Dat Huynh	PDF	N/A
CosyPose: Consistent multi-view multi-object 6D pose estimation	Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic	PDF	N/A
In-Domain GAN Inversion for Real Image Editing	Jiapeng Zhu, Yujun Shen, Deli Zhao, Bolei Zhou	PDF	N/A
Key Frame Proposal Network for Efficient Pose Estimation in Videos	Yuexi Zhang, Yin Wang, Octavia Camps, Mario Sznaier	PDF	N/A
Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning	Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu	PDF	N/A
Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs	Robin Rombach, Patrick Esser, Björn Ommer	PDF	N/A
Cross-Modal Weighting Network for RGB-D Salient Object Detection	Gongyang Li, Zhi Liu, Linwei Ye, Yang Wang, Haibin Ling	PDF	N/A
Open-set Adversarial Defense	Rui Shao, Pramuditha Perera, Pong C. Yuen, Vishal M. Patel	PDF	N/A
Deep Image Compression using Decoder Side Information	Sharon Ayzik, Shai Avidan	PDF	N/A
Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation	Jeevan Devaranjan, Amlan Kar, Sanja Fidler	PDF	N/A
A Generic Visualization Approach for Convolutional Neural Networks	Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis	PDF	N/A
Interactive Annotation of 3D Object Geometry using 2D Scribbles	Tianchang Shen, Jun Gao, Amlan Kar, Sanja Fidler	PDF	N/A
Hierarchical Kinematic Human Mesh Recovery	Georgios Georgakis, Ren Li, Srikrishna Karanam, Terrence Chen, Jana Košecká, Ziyan Wu	PDF	N/A
Multi-Loss Rebalancing Algorithm for Monocular Depth Estimation	Jae-Han Lee, Chang-Su Kim	PDF	N/A
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View	Marc Badger, Yufu Wang, Adarsh Modh, Ammon Perkes, Nikos Kolotouros , Bernd G. Pfrommer, Marc F. Schmidt, Kostas Daniilidis	PDF	N/A
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos	Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogerio Feris, Carl Vondrick, Aude Oliva	PDF	N/A
Joint Optimization for Multi-Person Shape Models from Markerless 3D-Scans	Samuel Zeitvogel, Johannes Dornheim, Astrid Laubenheimer	PDF	N/A
Accurate RGB-D Salient Object Detection via Collaborative Learning	Wei Ji, Jingjing Li, Miao Zhang, Yongri Piao, Huchuan Lu	PDF	N/A
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss	David Griffiths, Jan Boehm, Tobias Ritschel	PDF	N/A
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection	Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin	PDF	N/A
Two Stream Active Query Suggestion for Active Learning in Connectomics	Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel Berger, Brian Matejek, Lee Kamentsky, Adi Peleg, Daniel Haehn, Thouis Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister	PDF	N/A
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images	Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy Mitra, Leonidas J. Guibas	PDF	N/A
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference	Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas Guibas, Slobodan Ilic, Nassir Navab	PDF	N/A
Modeling Artistic Workflows for Image Generation and Editing	Hung-Yu Tseng, Matthew Fisher, Jingwan Lu, Yijun Li, Vladimir Kim, Ming-Hsuan Yang	PDF	N/A
A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks	Sangpil Kim, Hyung-gun Chi, Xiao Hu, Qixing Huang, Karthik Ramani	PDF	N/A
Hidden Footprints: Learning Contextual Walkability from 3D Human Trails	Jin Sun, Hadar Averbuch-Elor, Qianqian Wang, Noah Snavely	PDF	N/A
Self-Supervised Learning of Audio-Visual Objects from Video	Triantafyllos Afouras, Andrew Owens, Joon Son Chung, Andrew Zisserman	PDF	N/A
GAN-based Garment Generation Using Sewing Pattern Images	Yu Shen, Junbang Liang, Ming C. Lin	PDF	N/A
Style Transfer for Co-Speech Gesture Animation: A Multi-Speaker Conditional-Mixture Approach	Chaitanya Ahuja, Dong Won Lee, Yukiko I. Nakano, Louis-Philippe Morency	PDF	N/A
An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds	Rui Huang, Wanyue Zhang, Abhijit Kundu, Caroline Pantofaru, David A Ross, Thomas Funkhouser, Alireza Fathi	PDF	N/A
Monotonicity Prior for Cloud Tomography	Tamar Loeub, Aviad Levis, Vadim Holodovsky, Yoav Y. Schechner	PDF	N/A
Learning Trailer Moments in Full-Length Movies with Co-Contrastive Attention	Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas	PDF	N/A
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval	Christopher Thomas, Adriana Kovashka	PDF	N/A
Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline	Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das	PDF	N/A
Learning to Generate Grounded Visual Captions without Localization Supervision	Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira	PDF	N/A
Neural Hair Rendering	Menglei Chai, Jian Ren, Sergey Tulyakov	PDF	N/A
JNR: Joint-based Neural Rig Representation for Compact 3D Face Modeling	Noranart Vesdapunt, Mitch Rundle, HsiangTao Wu, Baoyuan Wang	PDF	N/A
On Disentangling Spoof Trace for Generic Face Anti-Spoofing	Yaojie Liu, Joel Stehouwer, Xiaoming Liu	PDF	N/A
Streaming Object Detection for 3-D Point Clouds	Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen	PDF	N/A
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search	Yun-Chun Chen, Chen Gao, Esther Robb, Jia-Bin Huang	PDF	N/A
Learning to Learn in a Semi-Supervised Fashion	Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang	PDF	N/A
FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning	Chia-Wen Kuo, Chih-Yao Ma, Jia-Bin Huang, Zsolt Kira	PDF	N/A
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects	Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun	PDF	N/A
Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation	Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, Amanpreet Singh	PDF	N/A
Learning to Separate: Detecting Heavily-Occluded Objects in Urban Scenes	Chenhongyi Yang, Vitaly Ablavsky, Kaihong Wang, Qi Feng, Margrit Betke	PDF	N/A
Towards causal benchmarking of bias in face analysis algorithms	Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona	PDF	N/A
Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation	Tong He, Dong Gong, Zhi Tian, Chunhua Shen	PDF	N/A
Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions	Noa Garcia, Yuta Nakashima	PDF	N/A
Transformation Consistency Regularization – A Semi-Supervised Paradigm for Image-to-Image Translation	Aamir Mustafa, Rafal K. Mantiuk	PDF	N/A
LIRA: Lifelong Image Restoration from Unknown Blended Distortions	Jianzhao Liu, Jianxin Lin, Xin Li, Wei Zhou, Sen Liu, Zhibo Chen	PDF	N/A
HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization	Jiahao Lin, Gim Hee Lee	PDF	N/A
SOLO: Segmenting Objects by Locations	Xinlong Wang, Tao Kong, Chunhua Shen, Yuning Jiang, Lei Li	PDF	N/A
Learning to See in the Dark with Events	Song Zhang, Yu Zhang, Zhe Jiang, Dongqing Zou, Jimmy Ren, Bin Zhou	PDF	N/A
Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data	Tim Salzmann, Boris Ivanovic, Punarjay Chakravarty, Marco Pavone	PDF	N/A
Context-Gated Convolution	Xudong Lin, Lin Ma, Wei Liu, Shih-Fu Chang	PDF	N/A
Polynomial Regression Network for Variable-Number Lane Detection	Bingke Wang, Zilei Wang, Yixin Zhang	PDF	N/A
Structural Deep Metric Learning for Room Layout Estimation	Wenzhao Zheng, Jiwen Lu, Jie Zhou	PDF	N/A
Adaptive Task Sampling for Meta-Learning	Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang Kun Zhang, Steven C.H. Hoi	PDF	N/A
Deep Complementary Joint Model for Complex Scene Registration and Few-shot Segmentation on Medical Images	Yuting He, Tiantian Li, Guanyu Yang, Youyong Kong, Yang Chen, Huazhong Shu, Jean-Louis Coatrieux, Jean-Louis Dillenseger, Shuo Li	PDF	N/A
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems	Kailai Zhou, Linsen Chen, Xun Cao	PDF	N/A
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling	Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu	PDF	N/A
Online Ensemble Model Compression using Knowledge Distillation	Devesh Walawalkar, Zhiqiang Shen, Marios Savvides	PDF	N/A
Deep Learning-based Pupil Center Detection for Fast and Accurate Eye Tracking System	Kang Il Lee, Jung Ho Jeon, Byung Cheol Song	PDF	N/A
Efficient Residue Number System Based Winograd Convolution	Zhi-Gang Liu, Matthew Mattina	PDF	N/A
Robust Tracking against Adversarial Attacks	Shuai Jia, Chao Ma, Yibing Song, Xiaokang Yang	PDF	N/A
Single-Shot Neural Relighting and SVBRDF Estimation	Shen Sang, Manmohan Chandraker	PDF	N/A
Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement	Qiang Nie , Ziwei Liu , Yunhui Liu	PDF	N/A
Angle-based Search Space Shrinking for Neural Architecture Search	Yiming Hu, Yuding Liang, Zichao Guo, Ruosi Wan, Xiangyu Zhang, Yichen Wei, Qingyi Gu, Jian Sun	PDF	N/A
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition	Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun, Wayne Zhang	PDF	N/A
Towards Fast, Accurate and Stable 3D Dense Face Alignment	Jianzhu Guo, Xiangyu Zhu, Yang Yang, Fan Yang, Zhen Lei, Stan Z. Li	PDF	N/A
Iterative Feature Transformation for Fast and Versatile Universal Style Transfer	Tai-Yin Chiu, Danna Gurari	PDF	N/A
CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search	Xin Chen, Yawen Duan, Zewei Chen, Hang Xu, Zihao Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li	PDF	N/A
Toward Faster and Simpler Matrix Normalization via Rank-1 Update	Tan Yu, Yunfeng Cai, Ping Li	PDF	N/A
Accurate Polarimetric BRDF for Real Polarization Scene Rendering	Yuhi Kondo, Taishi Ono, Legong Sun, Yasutaka Hirasawa, Jun Murayama	PDF	N/A
Lensless Imaging with Focusing Sparse URA Masks in Long-Wave Infrared and its Application for Human Detection	Ilya Reshetouski, Hideki Oyaizu, Kenichiro Nakamura, Ryuta Satoh, Suguru Ushiki, Ryuichi Tadano, Atsushi Ito, Jun Murayama	PDF	N/A
Topology-Preserving Class-Incremental Learning	Xiaoyu Tao, Xinyuan Chang, Xiaopeng Hong, Xing Wei, Yihong Gong	PDF	N/A
Inter-Image Communication for Weakly Supervised Localization	Xiaolin Zhang, Yunchao Wei, Yi Yang	PDF	N/A
UFO²: A Unified Framework towards Omni-supervised Object Detection	Zhongzheng Ren, Zhiding Yu, Xiaodong Yang, Ming-Yu Liu, Alexander G. Schwing, Jan Kautz	PDF	N/A
iCaps: An Interpretable Classifier via Disentangled Capsule Networks	Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon	PDF	N/A
Detecting Natural Disasters, Damage, and Incidents in the Wild	Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Agata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba	PDF	N/A
Dynamic ReLU	Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu	PDF	N/A
Acquiring Dynamic Light Fields through Coded Aperture Camera	Kohei Sakai, Keita Takahashi, Toshiaki Fujii, Hajime Nagahara	PDF	N/A
Gait Recognition from a Single Image using a Phase-Aware Gait Cycle Reconstruction Network	Chi Xu, Yasushi Makihara, Xiang Li, Yasushi Yagi, Jianfeng Lu	PDF	N/A
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation	Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun	PDF	N/A
Spherical Feature Transform for Deep Metric Learning	Yuke Zhu, Yan Bai, Yichen Wei	PDF	N/A
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering	Ruixue Tang, Chao Ma, Wei Emma Zhang, Qi Wu, Xiaokang Yang	PDF	N/A
Unsupervised Multi-View CNN for Salient View Selection of 3D Objects and Scenes	Ran Song, Wei Zhang, Yitian Zhao, Yonghuai Liu	PDF	N/A
Representation Sharing for Fast Object Detector Search and Beyond	Yujie Zhong, Zelu Deng, Sheng Guo, Matthew R. Scott, Weilin Huang	PDF	N/A
Peeking into occluded joints: A novel framework for crowd pose estimation	Lingteng Qiu, Xuanye Zhang, Yanran Li, Guanbin Li, Xiaojun Wu, Zixiang Xiong, Xiaoguang Han, Shuguang Cui	PDF	N/A
RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition	Linxi Fan, Shyamal Buch, Guanzhi Wang, Ryan Cao, Yuke Zhu, Juan Carlos Niebles, Li Fei-Fei	PDF	N/A
Deep Hashing with Active Pairwise Supervision	Ziwei Wang, Quan Zheng, Jiwen Lu, Jie Zhou	PDF	N/A
Graph Edit Distance Reward: Learning to Edit Scene Graph	Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu	PDF	N/A
Malleable 2.5D Convolution: Learning Receptive Fields along the Depth-axis for RGB-D Scene Parsing	Yajie Xing, Jingbo Wang, Gang Zeng	PDF	N/A
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion	Chang Shu, Kun Yu, Zhixiang Duan, Kuiyuan Yang	PDF	N/A
Propagating Over Phrase Relations for One-Stage Visual Grounding	Sibei Yang, Guanbin Li, Yizhou Yu	PDF	N/A
Adversarial Semantic Data Augmentation for Human Pose Estimation	Yanrui Bin, Xuan Cao, Xinya Chen, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, Nong Sang	PDF	N/A
Free View Synthesis	Gernot Riegler, Vladlen Koltun	PDF	N/A
Face Anti-Spoofing via Disentangled Representation Learning	Ke-Yue Zhang, Taiping Yao, Jian Zhang, Ying Tai, Shouhong Ding, Jilin Li, Feiyue Huang, Haichuan Song, Lizhuang Ma	PDF	N/A
Prime-Aware Adaptive Distillation	Youcai Zhang, Zhonghao Lan, Yuchen Dai, Fangao Zeng, Yan Bai, Jie Chang, Yichen Wei	PDF	N/A
Meta-Learning with Network Pruning	Hongduan Tian, Bo Liu, Xiao-Tong Yuan, Qingshan Liu	PDF	N/A
Spiral Generative Network for Image Extrapolation	Dongsheng Guo, Hongzhi Liu, Haoru Zhao, Yunhao Cheng, Qingwei Song, Zhaorui Gu, Haiyong Zheng, Bing Zheng	PDF	N/A
SceneSketcher: Fine-Grained Image Retrieval with Scene Sketches	Fang Liu, Changqing Zou, Xiaoming Deng, Ran Zuo, Yu-Kun Lai, Cuixia Ma, Yong-Jin Liu, Hongan Wang	PDF	N/A
Few-shot Compositional Font Generation with Dual Memory	Junbum Cha, Sanghyuk Chun, Gayoung Lee, Bado Lee, Seonghyeon Kim, Hwalsuk Lee	PDF	N/A
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling	Yue Qian, Junhui Hou, Sam Kwong, Ying He	PDF	N/A
Handcrafted Outlier Detection Revisited	Luca Cavalli, Viktor Larsson, Martin Ralf Oswald, Torsten Sattler, Marc Pollefeys	PDF	N/A
The Average Mixing Kernel Signature	Luca Cosmo, Giorgia Minello, Michael Bronstein, Luca Rossi, Andrea Torsello	PDF	N/A
BCNet: Learning Body and Cloth Shape from A Single Image	Boyi Jiang, Juyong Zhang, Yang Hong, Jinhao Luo, Ligang Liu, Hujun Bao	PDF	N/A
Self-supervised Keypoint Correspondences for Multi-Person Pose Estimation and Tracking in Videos	Umer Rafi, Andreas Doering, Bastian Leibe, Juergen Gall	PDF	N/A
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration	Jingwen He, Chao Dong, Yu Qiao	PDF	N/A
Polysemy Deciphering Network for Human-Object Interaction Detection	Xubin Zhong, Changxing Ding, Xian Qu, Dacheng Tao	PDF	N/A
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning	Arthur Douillard, Matthieu Cord, Charles Ollion, Thomas Robert, Eduardo Valle	PDF	N/A
Learning Graph-Convolutional Representations for Point Cloud Denoising	Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, Enrico Magli	PDF	N/A
Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching	Dongkwon Jin, Jun-Tae Lee,  Chang-Su Kim	PDF	N/A
A Differentiable Recurrent Surface for Asynchronous Event-Based Data	Marco Cannici, Marco Ciccone, Andrea Romanoni , Matteo Matteucci	PDF	N/A
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches	Ruoyi Du, Dongliang Chang, Ayan Kumar Bhunia, Jiyang Xie, Zhanyu Ma , Yi-Zhe Song, Jun Guo	PDF	N/A
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation	Tak-Wai Hui, Chen Change Loy	PDF	N/A
Microscopy Image Restoration with Deep Wiener-Kolmogorov Filters	Valeriya Pronina, Filippos Kokkinos, Dmitry V. Dylov, Stamatios Lefkimmiatis	PDF	N/A
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language	Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner	PDF	N/A
JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point Clouds	Zeyu Hu, Mingmin Zhen, Xuyang Bai, Hongbo Fu, Chiew-lan Tai	PDF	N/A
Motion-Excited Sampler: Video Adversarial Attack with Sparked Prior	Hu Zhang, Linchao Zhu, Yi Zhu, Yi Yang	PDF	N/A
An Inference Algorithm for Multi-Label MRF-MAP Problems with Clique Size 100	Ishant Shanu, Siddhant Bharti, Chetan Arora, S. N. Maheshwari	PDF	N/A
Dual Refinement Underwater Object Detection Network	Baojie Fan, Wei Chen, Yang Cong, Jiandong Tian	PDF	N/A
Multiple Sound Sources Localization from Coarse to Fine	Rui Qian, Di Hu, Heinrich Dinkel, Mengyue Wu, Ning Xu, Weiyao Lin	PDF	N/A
Task-Aware Quantization Network for JPEG Image Compression	Jinyoung Choi, Bohyung Han	PDF	N/A
Energy-Based Models for Deep Probabilistic Regression	Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön	PDF	N/A
CLOTH3D: Clothed 3D Humans	Hugo Bertiche, Meysam Madadi, Sergio Escalera	PDF	N/A
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images	Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao	PDF	N/A
CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers	Xingping Dong, Jianbing Shen, Ling Shao, Fatih Porikli	PDF	N/A
Occlusion-Aware Siamese Network for Human Pose Estimation	Lu Zhou, Yingying Chen, Yunze Gao, Jinqiao Wang, Hanqing Lu	PDF	N/A
Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model	Yufan Liu, Minglang Qiao, Mai Xu, Bing Li, Weiming Hu, Ali Borji	PDF	N/A
NormalGAN: Learning Detailed 3D Human from a Single RGB-D Image	Lizhen Wang, Xiaochen Zhao, Tao Yu, Songtao Wang, Yebin Liu	PDF	N/A
Model-based occlusion disentanglement for image-to-image translation	Fabio Pizzati, Pietro Cerri, Raoul de Charette	PDF	N/A
Rotation-robust Intersection over Union for 3D Object Detection	Yu Zheng, Danyang Zhang, Sinan Xie, Jiwen Lu, Jie Zhou	PDF	N/A
New Threats against Object Detector with Non-local Block	Yi Huang, Fan Wang, Adams Wai-Kin Kong, Kwok-Yan Lam	PDF	N/A
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation	Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng	PDF	N/A
On the Usage of the Trifocal Tensor in Motion Segmentation	Federica Arrigoni, Luca Magri, Tomas Pajdla	PDF	N/A
3D-Rotation-Equivariant Quaternion Neural Networks	Wen Shen, Binbin Zhang, Shikun Huang, Zhihua Wei, Quanshi Zhang	PDF	N/A
InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image	Gyeongsik Moon, Shoou-I Yu, He Wen, Takaaki Shiratori, Kyoung Mu Lee	PDF	N/A
Active Crowd Counting with Limited Supervision	Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao, Li Li	PDF	N/A
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance	Marvin Klingner, Jan-Aike Termhlen, Jonas Mikolajczyk, Tim Fingscheidt	PDF	N/A
Hierarchical Visual-Textual Graph for Temporal Activity Localization via Language	Shaoxiang Chen, Yu-Gang Jiang	PDF	N/A
Do Not Mask What You Do Not Need to Mask: a Parser-Free Virtual Try-On	Thibaut Issenhuth, Jérémie Mary, Clément Calauzènes	PDF	N/A
NODIS: Neural Ordinary Differential Scene Understanding	Yuren Cong, Hanno Ackermann, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn	PDF	N/A
AssembleNet++: Assembling Modality Representations via Attention Connections - Supplementary Material -	Michael S. Ryoo, AJ Piergiovanni, Juhana Kangaspunta, Anelia Angelova	PDF	N/A
Learning Propagation Rules for Attribution Map Generation	Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang	PDF	N/A
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference	Menelaos Kanakis, David Bruggemann, Suman Saha, Stamatios Georgoulis , Anton Obukhov, Luc Van Gool	PDF	N/A
Learning Predictive Models from Observation and Interaction	Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn	PDF	N/A
Unifying Deep Local and Global Features for Image Search	Bingyi Cao, André Araujo, Jack Sim	PDF	N/A
Human Body Model Fitting by Learned Gradient Descent	Jie Song, Xu Chen, Otmar Hilliges	PDF	N/A
DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition	Matthew Korban, Xin Li	PDF	N/A
Learning latent representations across multiple data domains using Lifelong VAEGAN	Fei Ye, Adrian G. Bors	PDF	N/A
DVI: Depth Guided Video Inpainting for Autonomous Driving	Miao Liao, Feixiang Lu, Dingfu Zhou, Sibo Zhang, Wei Li, Ruigang Yang	PDF	N/A
Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation	Kenan E. Ak, Ning Xu, Zhe Lin, Yilin Wang	PDF	N/A
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection	A. Braunegg, Amartya Chakraborty, Michael Krumdick, Nicole Lape, Sara Leary, Keith Manville, Elizabeth Merkhofer, Laura Strickhart, Matthew Walmer	PDF	N/A
Visual Question Answering on Image Sets	Ankan Bansal, Yuting Zhang, Rama Chellappa	PDF	N/A
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots	Qi Chen, Lin Sun, Zhixin Wang, Kui Jia, Alan Yuille	PDF	N/A
Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations	Huaiyi Huang, Yuqi Zhang, Qingqiu Huang, Zhengkui Guo, Ziwei Liu, Dahua Lin	PDF	N/A
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points	Ayan Sinha, Zak Murez, James Bartolozzi, Vijay Badrinarayanan, Andrew Rabinovich	PDF	N/A
Dynamic Low-light Imaging with Quanta Image Sensors	Yiheng Chi, Abhiram Gnanasambandam, Vladlen Koltun, Stanley H. Chan	PDF	N/A
Disambiguating Monocular Depth Estimation with a Single Transient	Mark Nishimura, David B. Lindell, Christopher Metzler, Gordon Wetzstein	PDF	N/A
DSDNet: Deep Structured self-Driving Network	Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun	PDF	N/A
QuEST: Quantized Embedding Space for Transferring Knowledge	Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord	PDF	N/A
EGDCL: An Adaptive Curriculum Learning Framework for Unbiased Glaucoma Diagnosis	Rongchang Zhao, Xuanlin Chen, Zailiang Chen, Shuo Li	PDF	N/A
Backpropagated Gradient Representations for Anomaly Detection	Gukyeong Kwon, Mohit Prabhushankar, Dogancan Temel, Ghassan AlRegib	PDF	N/A
Dense RepPoints: Representing Visual Objects with Dense Point Sets	Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang Raquel Urtasun, Liwei Wang , Stephen Lin, Han Hu	PDF	N/A
On Dropping Clusters to Regularize Graph Convolutional Neural Networks	Xikun Zhang, Chang Xu, Dacheng Tao	PDF	N/A
Adaptive Video Highlight Detection by Learning from User History	Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye, Yang Wang	PDF	N/A
Improving 3D Object Detection through Progressive Population Based Augmentation	Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov	PDF	N/A
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction	Jiongchao Jin, Akshay Gadi Patil, Zhang Xiong, Hao Zhang	PDF	N/A
SPAN: Spatial Pyramid Attention Network for Image Manipulation Localization	Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, Ram Nevatia	PDF	N/A
Adversarial Learning for Zero-shot Domain Adaptation	Jinghua Wang, Jianmin Jiang	PDF	N/A
YOLO in the Dark - Domain Adaptation Method for Merging Multiple Models -	Yukihiro Sasagawa, Hajime Nagahara	PDF	N/A
Identity-Aware Multi-Sentence Video Description	Jae Sung Park, Trevor Darrell, Anna Rohrbach	PDF	N/A
VQA-LOL: Visual Question Answering under the Lens of Logic	Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang	PDF	N/A
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation	Mengyao Zhai, Lei Chen, Jiawei He, Megha Nawhal, Frederick Tung, Greg Mori	PDF	N/A
TRRNet: Tiered Relation Reasoning for Compositional Visual Question Answering	Xiaofeng Yang, Guosheng Lin, Fengmao Lv, Fayao Liu	PDF	N/A
Mining Inter-Video Proposal Relations for Video Object Detection	Mingfei Han, Yali Wang, Xiaojun Chang, Yu Qiao	PDF	N/A
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval	Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal	PDF	N/A
Minimum Class Confusion for Versatile Domain Adaptation	Ying Jin, Ximei Wang, Mingsheng Long(), Jianmin Wang	PDF	N/A
Large Batch Optimization for Object Detection: Training COCO in 12 Minutes	Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Yaowei Wang, Jinqiao Wang, Ming Tang	PDF	N/A
Towards Practical and Efficient High-Resolution HDR Deghosting with CNN	K. Ram Prabhakar, Susmit Agrawal, Durgesh Kumar Singh, Balraj Ashwath , R. Venkatesh Babu	PDF	N/A
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection	Deniz Beker, Hiroharu Kato, Mihai Adrian Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon	PDF	N/A
Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation	Meng Tian, Marcelo H Ang Jr, Gim Hee Lee	PDF	N/A
Dynamic and Static Context-aware LSTM for Multi-agent Motion Prediction	Chaofan Tao, Qinhong Jiang, Lixin Duan, Ping Luo	PDF	N/A
Image-based table recognition: data, model, and evaluation	Xu Zhong, Elaheh ShafieiBavani, Antonio Jimeno Yepes	PDF	N/A
Group Activity Prediction with Sequential Relational Anticipation Model	Junwen Chen, Wentao Bao,, Yu Kong	PDF	N/A
PiP: Planning-informed Trajectory Prediction for Autonomous Driving	Haoran Song, Wenchao Ding, Yuxuan Chen, Shaojie Shen, Michael Yu Wang, Qifeng Chen	PDF	N/A
PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer	Duo Li, Anbang Yao, Qifeng Chen	PDF	N/A
Hierarchical Context Embedding for Region-based Object Detection	Zhao-Min Chen, Xin Jin, Borui Zhao, Xiu-Shen Wei, Yanwen Guo	PDF	N/A
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition	Jin Ye, Junjun He, Xiaojiang Peng, Wenhao Wu, Yu Qiao	PDF	N/A
Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection	Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, Tae Eun Choe	PDF	N/A
Sparse-to-Dense Depth Completion Revisited: Sampling Strategy and Graph Construction	Xin Xiong, Haipeng Xiong, Ke Xian, Chen Zhao, Zhiguo Cao, Xin Li	PDF	N/A
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation	Kaisiyuan Wang Qianyi Wu Linsen Song Zhuoqian Yang Wayne Wu Chen Qian Ran He Yu Qiao Chen Change Loy	PDF	N/A
Detecting Human-Object Interactions with Action Co-occurrence Priors	Dong-Jin Kim Xiao Sun Jinsoo Choi Stephen Lin In So Kweon	PDF	N/A
Learning Connectivity of Neural Networks from a Topological Perspective	Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan	PDF	N/A
JSTASR: Joint Size and Transparency-Aware Snow Removal Algorithm Based on Modified Partial Convolution and Veiling Effect Removal	Wei-Ting Chen, Hao-Yu Fang, Jian-Jiun Ding, Cheng-Che Tsai, Sy-Yen Kuo	PDF	N/A
Ocean: Object-aware Anchor-free Tracking	Zhipeng Zhang, Houwen Peng, Jianlong Fu Bing Li, Weiming Hu	PDF	N/A
Object Tracking using Spatio-Temporal Networks for Future Prediction Location	Yuan Liu, Ruoteng Li, Yu Cheng, Robby T. Tan, Xiubao Sui	PDF	N/A
Pillar-based Object Detection for Autonomous Driving	Yue Wang, Alireza Fathi, Abhijit Kundu, David A. Ross, Caroline Pantofaru, Tom Funkhouser, Justin Solomon	PDF	N/A
Sparse Adversarial Attack via Perturbation Factorization	Yanbo Fan, Baoyuan Wu, Tuanhui Li, Yong Zhang, Mingyang Li, Zhifeng Li, Yujiu Yang	PDF	N/A
3D Scene Reconstruction from a Single Viewport	Maximilian Denninger, Rudolph Triebel	PDF	N/A
Learning to Optimize Domain Specific Normalization for Domain Generalization	Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, Bohyung Han	PDF	N/A
Self-supervised Outdoor Scene Relighting	Ye Yu, Abhimitra Meka, Mohamed Elgharib, Hans-Peter Seidel, Christian Theobalt, William A. P. Smith	PDF	N/A
Privacy Preserving Visual SLAM	Mikiya Shibuya, Shinya Sumikura, Ken Sakurada	PDF	N/A
Leveraging Acoustic Images for Effective Self-Supervised Audio Representation Learning	Valentina Sanguineti, Pietro Morerio, Niccolò Pozzetti, Danilo Greco, Marco Cristani, Vittorio Murino	PDF	N/A
Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval	Yanbei Chen, Loris Bazzani	PDF	N/A
Globally Optimal and Efficient Vanishing Point Estimation in Atlanta World	Haoang Li, Pyojin Kim, Ji Zhao, Kyungdon Joo, Zhipeng Cai, Zhe Liu , Yun-Hui Liu	PDF	N/A
StyleGAN2 Distillation for Feed-forward Image Manipulation	Yuri Viazovetskyi, Vladimir Ivashkin, Evgeny Kashin	PDF	N/A
Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds	Jinxian Liu, Minghui Yu, Bingbing Ni⁴, Ye Chen	PDF	N/A
Learning Disentangled Representations via Mutual Information Estimation	Eduardo Hugo Sanchez, Mathieu Serrurier, Mathias Ortner	PDF	N/A
Challenge-Aware RGBT Tracking	Chenglong Li, Lei Liu, Andong Lu, Qing Ji, Jin Tang	PDF	N/A
Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration	Bruno Lecouat, Jean Ponce, Julien Mairal	PDF	N/A
AutoSimulate: (Quickly) Learning Synthetic Data Generation	Harkirat Singh Behl, Atilim Güneş Baydin, Ran Gal, Philip H.S. Torr, Vibhav Vineet	PDF	N/A
LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block	Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu	PDF	N/A
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation	M.Naseer Subhani, Mohsen Ali	PDF	N/A
Active Visual Information Gathering for Vision-Language Navigation	Hanqing Wang, Wenguan Wang, Tianmin Shu, Wei Liang, Jianbing Shen	PDF	N/A
Deep Hough-Transform Line Priors	Yancong Lin, Silvia L. Pintea, Jan C. van Gemert	PDF	N/A
Unsupervised Shape and Pose Disentanglement for 3D Meshes	Keyang Zhou, Bharat Lal Bhatnagar, Gerard Pons-Moll	PDF	N/A
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection	Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid, Seung-Ik Lee	PDF	N/A
Inclusive GAN: Improving Data and Minority Coverage in Generative Models	Ning Yu, Ke Li, Peng Zhou Jitendra Malik, Larry Davis, Mario Fritz	PDF	N/A
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects	Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte	PDF	N/A
Dive Deeper Into Box for Object Detection	Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai	PDF	N/A
PG-Net: Pixel to Global Matching Network for Visual Tracking	Bingyan Liao, Chenye Wang, Yayun Wang, Yaonong Wang, Jun Yin	PDF	N/A
Why Are Deep Representations Good Perceptual Quality Features?	Taimoor Tariq, Okan Tarhan Tursun, Munchurl Kim, Piotr Didyk	PDF	N/A
Geometric Estimation via Robust Subspace Recovery	Aoxiang Fan, Xingyu Jiang, Yang Wang, Junjun Jiang, Jiayi Ma	PDF	N/A
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification	Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao	PDF	N/A
Human Correspondence Consensus for 3D Object Semantic Understanding	Yujing Lou, Yang You, Chengkun Li, Zhoujun Cheng, Liangwei Li, Lizhuang Ma, Weiming Wang, Cewu Lu	PDF	N/A
Learning Memory Augmented Cascading Network for Compressed Sensing of Images	Jiwei Chen, Yubao Sun, Qingshan Liu, Rui Huang	PDF	N/A
Least squares surface reconstruction on arbitrary domains	Dizhong Zhu, William A. P. Smith	PDF	N/A
Task-conditioned Domain Adaptation for Pedestrian Detection in Thermal Imagery	My Kieu, Andrew D. Bagdanov, Marco Bertini, Alberto del Bimbo	PDF	N/A
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting	Junhua Zou, Zhisong Pan, Junyang Qiu, Xin Liu, Ting Rui, Wei Li	PDF	N/A
DADA: Differentiable Automatic Data Augmentation	Yonggang Li, Guosheng Hu, Yongtao Wang, Timothy Hospedales, Neil M. Robertson, Yongxin Yang	PDF	N/A
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans	Armen Avetisyan, Tatiana Khanova, Christopher Choy, Denver Dash, Angela Dai, Matthias Nießner	PDF	N/A
Kinship Identification through Joint Learning using Kinship Verification Ensembles	Wei Wang, Shaodi You, Theo Gevers	PDF	N/A
Kernelized Memory Network for Video Object Segmentation	Hongje Seong, Junhyuk Hyun, Euntai Kim	PDF	N/A
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection	Xiaoqi Zhao, Lihe Zhang¹, Youwei Pang, Huchuan Lu, Lei Zhang	PDF	N/A
Splitting vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation	Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, Alex Kot	PDF	N/A
Temporal Keypoint Matching and Refinement Network for Pose Estimation and Tracking	Chunluan Zhou Zhou Ren Gang Hua	PDF	N/A
Neural Point-Based Graphics	Kara-Ali Aliev, Artem Sevastopolsky, Maria Kolos, Dmitry Ulyanov, Victor Lempitsky	PDF	N/A
FHDe²Net: Full High Definition Demoireing Network	Bin He, Ce Wang, Boxin Shi, Ling-Yu Duan	PDF	N/A
Learning Structural Similarity of User Interface Layouts using Graph Networks	Dipu Manandhar, Dan Ruta, John Collomosse	PDF	N/A
NAS-Count: Counting-by-Density with Neural Architecture Search	Yutao Hu ¹, Xiaolong Jiang ², Xuhui Liu, Baochang Zhang, Jungong Han, Xianbin Cao ², David Doermann	PDF	N/A
Towards Generalization Across Depth for Monocular 3D Object Detection	Andrea Simonelli, Samuel Rota Buló, Lorenzo Porzi, Elisa Ricci, Peter Kontschieder	PDF	N/A
Margin-Mix: Semi–Supervised Learning for Face Expression Recognition	Corneliu Florea, Mihai Badea, Laura Florea, Andrei Racoviteanu, Constantin Vertan	PDF	N/A
Principal Feature Visualisation in Convolutional Neural Networks	Marianne Bakken, Johannes Kvam, Alexey A. Stepanov, Asbjørn Berge	PDF	N/A
Progressive Refinement Network for Occluded Pedestrian Detection	Xiaolin Song Kaili Zhao Wen-Sheng Chu Honggang Zhang Jun Guo	PDF	N/A
Monocular Real-Time Volumetric Performance Capture	Ruilong Li, Yuliang Xiu, Shunsuke Saito, Zeng Huang, Kyle Olsewski, Hao Li	PDF	N/A
The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale	Christian Ertler, Jerneja Mislej, Tobias Ollmann, Lorenzo Porzi, Gerhard Neuhold, Yubin Kuang	PDF	N/A
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction	Anil Armagan, Guillermo Garcia-Hernando, Seungryul Baek, Shreyas Hampali, Mahdi Rad, Zhaohui Zhang, Shipeng Xie, MingXiu Chen, Boshen Zhang, Fu Xiong, Yang Xiao, Zhiguo Cao, Junsong Yuan, Pengfei Ren⁸, Weiting Huang⁸, Haifeng Sun⁸, Marek Hrúz⁹, Jakub Kanis⁹, Zdeněk Krňoul⁹, Qingfu Wan, Shile Li, Linlin Yang, Dongheui Lee, Angela Yao, Weiguo Zhou, Sijia Mei, Yunhui Liu, Adrian Spurr, Umar Iqbal, Pavlo Molchanov, Philippe Weinzaepfel, Romain Brégier, Grégory Rogez, Vincent Lepetit, Tae-Kyun Kim	PDF	N/A
Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders	Sarthak Bhagat, Shagun Uppal, Zhuyun Yin, Nengli Lim	PDF	N/A
SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks	Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen	PDF	N/A
Kinematic 3D Object Detection in Monocular Video	Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele	PDF	N/A
Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents	Ye Zhu, Yu Wu, Yi Yang, Yan Yan	PDF	N/A
SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding	Sangmin Lee, Jung Uk Kim, Hak Gu Kim, Seongyeop Kim, Yong Man Ro	PDF	N/A
End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention	Ziyi Meng, Jiawei Ma, Xin Yuan	PDF	N/A
Know Your Surroundings: Exploiting Scene Information for Object Tracking	Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte	PDF	N/A
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases	Ren Wang, Gaoyuan Zhang, Sijia Liu, Pin-Yu Chen, Jinjun Xiong, Meng Wang	PDF	N/A
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images	Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Chang, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao	PDF	N/A
DeepLandscape: Adversarial Modeling of Landscape Videos	Elizaveta Logacheva, Roman Suvorov, Oleg Khomenko, Anton Mashikhin, Victor Lempitsky	PDF	N/A
GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images	Lei Kang, Pau Riba, Yaxing Wang, Marçal Rusiñol, Alicia Fornés, Mauricio Villegas	PDF	N/A
Spatial-Angular Interaction for Light Field Image Super-Resolution	Yingqian Wang,  Longguang Wang,  Jungang Yang, Wei An,  Jingyi Yu,  Yulan Guo	PDF	N/A
BATS: Binary ArchitecTure Search	Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos	PDF	N/A
A Closer Look at Local Aggregation Operators in Point Cloud Analysis	Ze Liu(†), Han Hu, Yue Cao, Zheng Zhang, Xin Tong	PDF	N/A
Look here! A parametric learning based approach to redirect visual attention	Youssef A. Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii	PDF	N/A
Variational Diffusion Autoencoders with Random Walk Sampling	Henry Li, Ofir Lindenbaum, Xiuyuan Cheng, Alexander Cloninger	PDF	N/A
Adaptive Variance Based Label Distribution Learning For Facial Age Estimation	Xin Wen, Biying Li, Haiyun Guo, Zhiwei Liu, Guosheng Hu, Ming Tang, Jinqiao Wang	PDF	N/A
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency	Shasha Li, Shitong Zhu, Sudipta Paul, Amit Roy-Chowdhury, Chengyu Song, Srikanth Krishnamurthy, Ananthram Swami, Kevin S Chan	PDF	N/A
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations	Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun	PDF	N/A
VarSR: Variational Super-Resolution Network for Very Low Resolution Images	Sangeek Hyun, Jae-Pil Heo	PDF	N/A
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation	Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, ChienHung Liao, Adam P. Harrison	PDF	N/A
Towards Recognizing Unseen Categories in Unseen Domains	Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo	PDF	N/A
Square Attack: a query-efficient black-box adversarial attack via random search	Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein	PDF	N/A
You Are Here: Geolocation by Embedding Maps and Images	Noe Samano, Mengjie Zhou, Andrew Calway	PDF	N/A
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation	Yang He, Shadi Rahimian, Bernt Schiele, Mario Fritz	PDF	N/A
From Image to Stability: Learning Dynamics from Human Pose	Jesse Scott, Bharadwaj Ravichandran, Christopher Funk, Robert T. Collins, Yanxi Liu	PDF	N/A
LevelSet R-CNN: A Deep Variational Method for Instance Segmentation	Namdar Homayounfar Yuwen Xiong Justin Liang Wei-Chiu Ma Raquel Urtasun {namdar,yuwen,justin.liang,weichiu,urtasun}@uber.com	PDF	N/A
Efficient Scale-Permuted Backbone with Learned Resource Distribution	Xianzhi Du, Tsung-Yi Lin, Pengchong Jin, Yin Cui Mingxing Tan, Quoc Le, Xiaodan Song	PDF	N/A
Reducing Distributional Uncertainty by Mutual Information Maximisation and Transferable Feature Learning	Jian Gao, Yang Hua, Guosheng Hu, Chi Wang, Neil M. Robertson	PDF	N/A
Bridging Knowledge Graphs to Generate Scene Graphs	Alireza Zareian, Svebor Karaman, Shih-Fu Chang	PDF	N/A
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting	Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun	PDF	N/A
Learning Visual Commonsense for Robust Scene Graph Generation	Alireza Zareian, Zhecan Wang, Haoxuan You, Shih-Fu Chang	PDF	N/A
MPCC: Matching Priors and Conditionals for Clustering	Nicolás Astorga, Pablo Huijse, Pavlos Protopapas, Pablo Estévez	PDF	N/A
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality	Yiqin Zhao, Tian Guo	PDF	N/A
Discrete Point Flow Networks for Efficient Point Cloud Generation	Roman Klokov, Edmond Boyer, Jakob Verbeek	PDF	N/A
Accelerating Deep Learning with Millions of Classes	Zhuoning Yuan, Zhishuai Guo, Xiaotian Yu, Xiaoyu Wang, Tianbao Yang	PDF	N/A
Password-conditioned Anonymization and Deanonymization with Face Identity Transformers	Xiuye Gu, Weixin Luo, Michael S. Ryoo, Yong Jae Lee	PDF	N/A
Inertial Safety from Structured Light	Sizhuo Ma, Mohit Gupta	PDF	N/A
PointTriNet: Learned Triangulation of 3D Point Sets	Nicholas Sharp, Maks Ovsjanikov	PDF	N/A
Toward Unsupervised, Multi-Object Discovery in Large-Scale Image Collections	Huy V. Vo, Patrick Pérez, Jean Ponce	PDF	N/A
Deep Novel View Synthesis from Colored 3D Point Clouds	Zhenbo Song, Wayne Chen, Dylan Campbell, Hongdong Li	PDF	N/A
Consensus-Aware Visual-Semantic Embedding for Image-Text Matching	Haoran Wang, Ying Zhang, Zhong Ji, Yanwei Pang, Lin Ma	PDF	N/A
Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising	Guanting Dong, Yueyi Zhang, Zhiwei Xiong	PDF	N/A
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding	Songtao He, Favyen Bastani, Satvat Jagwani, Mohammad Alizadeh, Hari Balakrishnan, Sanjay Chawla, Mohamed M. Elshrif, Samuel Madden, Mohammad Amin Sadeghi	PDF	N/A
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition	Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou	PDF	N/A
Polarimetric Multi-View Inverse Rendering	Jinyu Zhao, Yusuke Monno, Masatoshi Okutomi	PDF	N/A
SideInfNet: A Deep Neural Network for Semi-Automatic Semantic Segmentation with Side Information	Jing Yu Koh, Duc Thanh Nguyen, Quang-Trung Truong, Sai-Kit Yeung, Alexander Binder	PDF	N/A
Improving Face Recognition by Clustering Unlabeled Faces in the Wild	Aruni RoyChowdhury, Xiang Yu, Kihyuk Sohn, Erik Learned-Miller, Manmohan Chandraker	PDF	N/A
NeuRoRA: Neural Robust Rotation Averaging	Pulak Purkait, Tat-Jun Chin, Ian Reid	PDF	N/A
SG-VAE: Scene Grammar Variational Autoencoder to generate new indoor scenes	Pulak Purkait, Christopher Zach, Ian Reid	PDF	N/A
Unsupervised Learning of Optical Flow with Deep Feature Similarity	Woobin Im, Tae-Kyun Kim, Sung-Eui Yoon	PDF	N/A
Blended Grammar Network for Human Parsing	Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang	PDF	N/A
P²Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation	Zehao Yu, Lei Jin, Shenghua Gao	PDF	N/A
Efficient Attention Mechanism for Visual Dialog that can Handle All the Interactions between Multiple Inputs	Van-Quang Nguyen, Masanori Suganuma, Takayuki Okatani	PDF	N/A
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting	Xiyang Liu, Jie Yang, Wenrui Ding, Tieqiang Wang, Zhijin Wang, Junjun Xiong	PDF	N/A
BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging	Ziheng Cheng, Ruiying Lu, Zhengjue Wang, Hao Zhang, Bo Chen, Ziyi Meng, Xin Yuan	PDF	N/A
Ultra Fast Structure-aware Deep Lane Detection	Zequn Qin, Huanyu Wang, Xi Li	PDF	N/A
Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling	Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, Seon Joo Kim	PDF	N/A
Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN	Zhenwei He, Lei Zhang	PDF	N/A
Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition	Xiaobo Wang, Tianyu Fu, Shengcai Liao, Shuo Wang, Zhen Lei, Tao Mei	PDF	N/A
Learning Camera-Aware Noise Models	Ke-Chi Chang, Ren Wang, Hung-Jin Lin, Yu-Lun Liu, Chia-Ping Chen, Yu-Lin Chang, Hwann-Tzong Chen	PDF	N/A
Towards Precise Completion of Deformable Shapes	Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel	PDF	N/A
Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud Registration	Jiahao Li, Changhao Zhang, Ziyao Xu, Hangning Zhou, Chi Zhang	PDF	N/A
Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization	Amir Rahimi, Amirreza Shaban, Thalaiyasingam Ajanthan, Richard Hartley, Byron Boots	PDF	N/A
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation	Xin Eric Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi[2]	PDF	N/A
TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data	Binghua Li, Chao Li, Feng Duan, Ning Zheng, Qibin Zhao	PDF	N/A
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis	Eu Wern Teh, Terrance DeVries, Graham W. Taylor	PDF	N/A
Learning with Privileged Information for Efficient Image Super-Resolution	Wonkyung Lee, Junghyup Lee, Dohyung Kim, Bumsub Ham	PDF	N/A
Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification	Jianing Li,, Shiliang Zhang	PDF	N/A
Autoencoder-based Graph Construction for Semi-supervised Learning	Mingeun Kang, Kiwon Lee, Yong H. Lee, Changho Suh	PDF	N/A
Virtual Multi-view Fusion for 3D Semantic Segmentation	Abhijit Kundu, Xiaoqi Yin, Alireza Fathi, David Ross, Brian Brewington, Thomas Funkhouser, Caroline Pantofaru	PDF	N/A
Decoupling GCN with DropGraph Module for Skeleton-Based Action Recognition	Ke Cheng, Yifan Zhang, Congqi Cao, Lei Shi, Jian Cheng, Hanqing Lu	PDF	N/A
Deep Shape from Polarization	Yunhao Ba, Alex Gilbert, Franklin Wang, Jinfa Yang, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, Achuta Kadambi	PDF	N/A
A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning	Xingyu Chen, Xuguang Lan, Fuchun Sun, Nanning Zheng	PDF	N/A
Mind the Discriminability: Asymmetric Adversarial Domain Adaptation	Jianfei Yang, Han Zou, Yuxun Zhou, Zhaoyang Zeng, Lihua Xie ()	PDF	N/A
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates	Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker	PDF	N/A
Simultaneous Detection and Tracking with Motion Modelling for Multiple Object Tracking	ShiJie Sun, Naveed Akhtar, XiangYu Song, HuanSheng Song, Ajmal Mian , Mubarak Shah	PDF	N/A
Deep FusionNet for Point Cloud Semantic Segmentation	Feihu Zhang Jin Fang Benjamin Wah Philip Torr	PDF	N/A
Deep Material Recognition in Light-Fields via Disentanglement of Spatial and Angular Information	Bichuan Guo, Jiangtao Wen, Yuxing Han	PDF	N/A
Dual Adversarial Network for Deep Active Learning	Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng	PDF	N/A
Fully Convolutional Networks for Continuous Sign Language Recognition	Ka Leong Cheng, Zhaoyang Yang, Qifeng Chen, Yu-Wing Tai	PDF	N/A
Self-adapting confidence estimation for stereo	Matteo Poggi, Filippo Aleotti, Fabio Tosi, Giulio Zaccaroni, Stefano Mattoccia	PDF	N/A
Deep Surface Normal Estimation on the 2-Sphere with Confidence Guided Semantic Attention	Quewei Li, Jie Guo, Yang Fei, Qinyu Tang, Wenxiu Sun, Jin Zeng, Yanwen Guo	PDF	N/A
AutoSTR: Efficient Backbone Search for Scene Text Recognition	Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai	PDF	N/A
Mitigating Embedding and Class Assignment Mismatch in Unsupervised Image Classification	Sungwon Han, Sungwon Park, Sungkyu Park, Sundong Kim, Meeyoung Cha	PDF	N/A
Adversarial Training with Bi-directional Likelihood Regularization for Visual Classification	Weitao Wan, Jiansheng Chen, Ming-Hsuan Yang	PDF	N/A
Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation	Ryuichiro Hataya, Zdenek Jan, Kazuki Yoshizoe, Hideki Nakayama	PDF	N/A
Hand-Transformer: Non-Autoregressive Structured Modeling for 3D Hand Pose Estimation	Lin Huang, Jianchao Tan, Ji Liu, Junsong Yuan	PDF	N/A
Boundary-Aware Cascade Networks for Temporal Action Segmentation	Zhenzhi Wang, Ziteng Gao, Limin Wang, Zhifeng Li, Gangshan Wu	PDF	N/A
Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation	Xu Yan, Weibing Zhao, Kun Yuan, Ruimao Zhang, Zhen Li, Shuguang Cui	PDF	N/A
Inference Graphs for CNN Interpretation	Yael Konforti, Alon Shpigler, Boaz Lerner, Aharon Bar-Hillel	PDF	N/A
An End-to-End OCR Text Re-organization Sequence Learning for Rich-text Detail Image Comprehension	Liangcheng Li, Feiyu Gao, Jiajun Bu, Yongpan Wang, Zhi Yu, Qi Zheng	PDF	N/A
Improving Query Efficiency of Black-box Adversarial Attack	Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo	PDF	N/A
Self-similarity Student for Partial Label Histopathology Image Segmentation	Hsien-Tzu Cheng, Chun-Fu Yeh, Po-Chen Kuo, Andy Wei, Keng-Chi Liu, Mong-Chi Ko, Kuan-Hua Chao, Yu-Ching Peng, Tyng-Luh Liu	PDF	N/A
BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions	Arslan Ali, Matteo Testa, Tiziano Bianchi, Enrico Magli	PDF	N/A
A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images	Zhetong Liang, Shi Guo, Hong Gu, Huaqi Zhang, Lei Zhang	PDF	N/A
Global-and-Local Relative Position Embedding for Unsupervised Video Summarization	Yunjae Jung, Donghyeon Cho, Sanghyun Woo, In So Kweon	PDF	N/A
Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms	Jaesung Rim, Haeyun Lee, Jucheol Won, Sunghyun Cho	PDF	N/A
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking	Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu	PDF	N/A
CenterNet Heatmap Propagation for Real-time Video Object Detection	Zhujun Xu, Emir Hrustic, Damien Vivet	PDF	N/A
Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection	Youwei Pang, Lihe Zhang, Xiaoqi Zhao, Huchuan Lu	PDF	N/A
SOLAR: Second-Order Loss and Attention for Image Retrieval	Tony Ng, Vassileios Balntas, Yurun Tian, Krystian Mikolajczyk	PDF	N/A
Fixing Localization Errors to Improve Image Classification	Guolei Sun, Salman Khan, Wen Li, Hisham Cholakkal, Fahad Shahbaz Khan, Luc Van Gool	PDF	N/A
PatchPerPix for Instance Segmentation	Lisa Mais, Peter Hirsch and Dagmar Kainmueller	PDF	N/A
Attend and Segment: Attention Guided Active Semantic Segmentation	Soroush Seifi, Tinne Tuytelaars	PDF	N/A
Accelerating CNN Training by Pruning Activation Gradients	Xucheng Ye, Pengcheng Dai, Junyu Luo, Xin Guo, Yingjie Qi, Jianlei Yang, Yiran Chen	PDF	N/A
Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement	Han-Ul Kim, Young Jun Koh, Chang-Su Kim	PDF	N/A
Probabilistic Anchor Assignment with IoU Prediction for Object Detection	Kang Kim, Hee Seok Lee	PDF	N/A
Eyeglasses 3D shape reconstruction from a single face image	Yating Wang, Quan Wang, Feng Xu	PDF	N/A
Temporal Complementary Learning for Video Person Re-Identification	Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen	PDF	N/A
HoughNet: Integrating near and long-range evidence for bottom-up object detection	Nermin Samet, Samet Hicsonmez, Emre Akbas	PDF	N/A
Graph Wasserstein Correlation Analysis for Movie Retrieval	Xueya Zhang, Tong Zhang, Xiaobin Hong, Zhen Cui, Jian Yang	PDF	N/A
Context-Aware RCNN: A Baseline for Action Detection in Videos	Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu	PDF	N/A
Full-Time Monocular Road Detection Using Zero-Distribution Prior of Angle of Polarization	Ning Li, Yongqiang Zhao, Quan Pan, Seong G. Kong, Jonathan Cheung-Wai Chan	PDF	N/A
A Flexible Recurrent Residual Pyramid Network for Video Frame Interpolation	Haoxian Zhang, Yang Zhao, Ronggang Wang	PDF	N/A
Learning Enriched Features for Real Image Restoration and Enhancement	Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao	PDF	N/A
Detail Preserved Point Cloud Completion via Separated Feature Aggregation	Wenxiao Zhang, Qingan Yan, Chunxia Xiao	PDF	N/A
LabelEnc: A New Intermediate Supervision Method for Object Detection	Miao Hao, Yitao Liu, Xiangyu Zhang, Jian Sun	PDF	N/A
Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point Sets	Clara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel, Jose J. Guerrero, Cédric Demonceaux, Luc Van Gool	PDF	N/A
PAMS: Quantized Super-Resolution via Parameterized Max Scale	Huixia Li, Chenqian Yan, Shaohui Lin, Xiawu Zheng, Baochang Zhang, Fan Yang, Rongrong Ji	PDF	N/A
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds	Xinge Zhu      Yuexin Ma      Tai Wang      Yan Xu Jianping Shi      Dahua Lin	PDF	N/A
OID: Outlier Identifying and Discarding in Blind Image Deblurring	Liang Chen, Faming Fang, Jiawei Zhang, Jun Liu, Guixu Zhang	PDF	N/A
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors	Mateusz Michalkiewicz, Sarah Parisot, Stavros Tsogkas, Mahsa Baktashmotlagh, Anders Eriksson, Eugene Belilovsky	PDF	N/A
Enhanced Sparse Model for Blind Deblurring	Liang Chen, Faming Fang, Shen Lei, Fang Li, Guixu Zhang	PDF	N/A
SumGraph: Video Summarization via Recursive Graph Modeling	Jungin Park, Jiyoung Lee, Ig-Jae Kim, Kwanghoon Sohn	PDF	N/A
Feature Normalized Knowledge Distillation for Image Classification	Kunran Xu, Lai Rui, Yishi Li, Lin Gu	PDF	N/A
A Metric Learning Reality Check	Kevin Musgrave, Serge Belongie, Ser-Nam Lim	PDF	N/A
FTL: A universal framework for training low-bit DNNs via Feature Transfer	Kunyuan Du, Ya Zhang, Haibing Guan, Qi Tian, Shenggan Cheng, James Lin	PDF	N/A
XingGAN for Person Image Generation	Hao Tang, Song Bai, Li Zhang, Philip H.S. Torr, Nicu Sebe	PDF	N/A
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering	Chuang Niu, Jun Zhang, Ge Wang, Jimin Liang	PDF	N/A
VCNet: A Robust Approach to Blind Image Inpainting	Yi Wang, Ying-Cong Chen, Xin Tao, Jiaya Jia	PDF	N/A
Learning to Predict Context-adaptive Convolution for Semantic Segmentation	Jianbo Liu, Junjun He, Yu Qiao, Jimmy S. Ren, Hongsheng Li	PDF	N/A
EfficientFCN: Holistically-guided Decoding for Semantic Segmentation	Jianbo Liu, Junjun He, Jiawei Zhang, Jimmy S. Ren, Hongsheng Li	PDF	N/A
GroSS: Group-Size Series Decomposition for Grouped Architecture Search	Henry Howard-Jenkins, Yiwen Li, Victor Adrian Prisacariu	PDF	N/A
Efficient Adversarial Attacks for Visual Object Tracking	Siyuan Liang, Xingxing Wei, Siyuan Yao, Xiaochun Cao	PDF	N/A
Globally-Optimal Event Camera Motion Estimation	Xin Peng, Yifu Wang, Ling Gao, Laurent Kneip	PDF	N/A
Weakly-supervised Learning of Human Dynamics	Petrissa Zell, Bodo Rosenhahn, Bastian Wandt	PDF	N/A
Journey Towards Tiny Perceptual Super-Resolution	Royson Lee, Łukasz Dudziak, Mohamed Abdelfattah, Stylianos I. Venieris, Hyeji Kim, Hongkai Wen, Nicholas D. Lane	PDF	N/A
What makes fake images detectable? Understanding properties that generalize	Lucy Chai, David Bau, Ser-Nam Lim, Phillip Isola	PDF	N/A
Embedding Propagation: Smoother Manifold for Few-Shot Classification	Pau Rodríguez, Issam Laradji, Alexandre Drouin, Alexandre Lacoste	PDF	N/A
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis	Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges	PDF	N/A
High-Fidelity Synthesis with Disentangled Representation	Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee	PDF	N/A
PL₁P - Point-line Minimal Problems under Partial Visibility in Three Views	Timothy Duff, Kathlén Kohn, Anton Leykin, Tomas Pajdla	PDF	N/A
Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification	Ke Han, Yan Huang, Zerui Chen, Liang Wang, Tieniu Tan	PDF	N/A
Learning Canonical Representations for Scene Graph to Image Generation	Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson	PDF	N/A
Adversarial Robustness on In- and Out-Distribution Improves Explainability	Maximilian Augustin, Alexander Meinke, Matthias Hein	PDF	N/A
Deformable Style Transfer	Sunnie S. Y. Kim, Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich	PDF	N/A
Aligning Videos in Space and Time	Senthil Purushwalkam, Tian Ye, Saurabh Gupta, Abhinav Gupta	PDF	N/A
Neural Wireframe Renderer: Learning Wireframe to Image Translations	Yuan Xue, Zihan Zhou, Xiaolei Huang	PDF	N/A
RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax	Xiao Zhang, Rui Zhao, Yu Qiao, Hongsheng Li	PDF	N/A
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction	Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun	PDF	N/A
Determining the Relevance of Features for Deep Neural Networks	Christian Reimers, Jakob Runge, Joachim Denzler	PDF	N/A
Weakly Supervised Semantic Segmentation with Boundary Exploration	Liyi Chen, Weiwei Wu, Chenchen Fu, Xiao Han, Yuntao Zhang	PDF	N/A
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation	Wallace Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao Zhang	PDF	N/A
DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild	Philippe Weinzaepfel, Romain Brégier, Hadrien Combaluzier, Vincent Leroy, Grégory Rogez	PDF	N/A
Multi-view adaptive graph convolutions for graph classification	Nikolas Adaloglou, Nicholas Vretos, Petros Daras	PDF	N/A
Instance Adaptive Self-Training for Unsupervised Domain Adaptation	Ke Mei, Chuang Zhu, Jiaqi Zou, Shanghang Zhang	PDF	N/A
Weight Decay Scheduling and Knowledge Distillation for Active Learning	Juseung Yun, Byungjoo Kim, Junmo Kim	PDF	N/A
HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs	Hai Victor Habi, Roy H. Jennings, Arnon Netzer	PDF	N/A
Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning	Christopher Zach, Huu Le	PDF	N/A
Geometry Constrained Weakly Supervised Object Localization	Weizeng Lu, Xi Jia, Weicheng Xie, Linlin Shen, Yicong Zhou, Jinming Duan	PDF	N/A
Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning	Kshitij Dwivedi, Jiahui Huang, Radoslaw Martin Cichy, Gemma Roig	PDF	N/A
OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering	Yaniv Benny, Lior Wolf	PDF	N/A
Mining self-similarity: Label super-resolution with epitomic representations	Nikolay Malkin, Anthony Ortiz, Nebojsa Jojic	PDF	N/A
AE-OT-GAN: Training GANs from data specific latent distribution	Dongsheng An, Yang Guo, Min Zhang, Xin Qi, Na Lei, Xianfang Gu	PDF	N/A
Null-sampling for Interpretable and Fair Representations	Thomas Kehrenberg, Myles Bartlett, Oliver Thomas, Novi Quadrianto	PDF	N/A
Guiding Monocular Depth Estimation Using Depth-Attention Volume	Lam Huynh, Phong Nguyen-Ha, Jiri Matas, Esa Rahtu, Janne Heikkilä	PDF	N/A
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping	Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki	PDF	N/A
Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer	Yuanyi Zhong, Jianfeng Wang, Jian Peng, Lei Zhang	PDF	N/A
BézierSketch: A generative model for scalable vector sketches	Ayan Das, Yongxin Yang, Timothy Hospedales, Tao Xiang, Yi-Zhe Song	PDF	N/A
Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation	Zeqi Li, Ruowei Jiang,, Parham Aarabi	PDF	N/A
Domain Adaptation Through Task Distillation	Brady Zhou, Nimit Kalra, Philipp Krähenbühl	PDF	N/A
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning	Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille	PDF	N/A
More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning	Yu Liu, Sarah Parisot, Gregory Slabaugh, Xu Jia, Ales Leonardis, Tinne Tuytelaars	PDF	N/A
Extending and Analyzing Self-Supervised Learning Across Domains	Bram Wallace, Bharath Hariharan	PDF	N/A
Multi-Source Open-Set Deep Adversarial Domain Adaptation	Sayan Rakshit, Dipesh Tamboli, Pragati Shuddhodhan Meshram, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri	PDF	N/A
Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection	Wen-Hsuan Chu, Kris M. Kitani	PDF	N/A
LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities	Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-Chun Zhu	PDF	N/A
Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images	Matthew Purri, Kristin Dana	PDF	N/A
Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion	José Pedro Iglesias, Carl Olsson, Marcus Valtonen Örnhag	PDF	N/A
Proposal-based Video Completion	Yuan-Ting Hu, Heng Wang, Nicolas Ballas, Kristen Grauman, Alexander G. Schwing	PDF	N/A
HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation	Haifeng Xia, Zhengming Ding	PDF	N/A
Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding	Kaihao Zhang, Wenhan Luo, Wenqi Ren, Jingwen Wang Fang Zhao, Lin Ma , Hongdong Li	PDF	N/A
DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks	Hassan Dbouk, Hetul Sanghvi, Mahesh Mehendale, Naresh Shanbhag	PDF	N/A
All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling	Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Juwei Lu, Jin Tang , Konstantinos N Plataniotis	PDF	N/A
A Broader Study of Cross-Domain Few-Shot Learning	Yunhui Guo, Noel C. Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogerio Feris	PDF	N/A
Practical Poisoning Attacks on Neural Networks	Junfeng Guo, Cong Liu	PDF	N/A
Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification	Djebril Mekhazni, Amran Bhuiyan, George Ekladious, Eric Granger	PDF	N/A
Learn distributed GAN with Temporary Discriminators	Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris Metaxas	PDF	N/A
SemifreddoNets: Partially Frozen Neural Networks for Efficient Computer Vision Systems	Leo F Isikdogan, Bhavin V Nayak, Chyuan-Tyng Wu, Joao Peralta Moreira , Sushma Rao, Gilad Michael	PDF	N/A
Improving Adversarial Robustness by Enforcing Local and Global Compactness	Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier deVel, Tamas Abraham, Dinh Phung	PDF	N/A
TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation	Subeesh Vasu, Mateusz Kozinski, Leonardo Citraro, and Pascal Fua	PDF	N/A
Channel selection using Gumbel Softmax	Charles Herrmann, Richard Strong Bowen, Ramin Zabih	PDF	N/A
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification	Dripta S. Raychaudhuri, Amit K. Roy-Chowdhury	PDF	N/A
An Efficient Training Framework for Reversible Neural Architectures	Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan	PDF	N/A
Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation	Viveka Kulharia, Siddhartha Chandra, Amit Agrawal, Philip Torr, Ambrish Tyagi	PDF	N/A
FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras	Yicheng Wu, Vivek Boominathan, Xuan Zhao, Jacob T. Robinson, Hiroshi Kawasaki, Aswin Sankaranarayanan, Ashok Veeraraghavan	PDF	N/A
One-Pixel Signature: Characterizing CNN Models for Backdoor Detection	Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia, Zhuowen Tu	PDF	N/A
Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning	Linchao Zhu, Sercan . Arık, Yi Yang, Tomas Pfister	PDF	N/A
Structure-Aware Generation Network for Recipe Generation from Images	Hao Wang, Guosheng Lin, Steven C. H. Hoi, Chunyan Miao	PDF	N/A
A Simple and Effective Framework for Pairwise Deep Metric Learning	Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang	PDF	N/A
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner	Eugene Lee, Evan Chen, Chen-Yi Lee	PDF	N/A
A Recurrent Transformer Network for Novel View Action Synthesis	Kara Marie Schatz, Erik Quintanilla, Shruti Vyas, Yogesh S Rawat	PDF	N/A
Multi-view Action Recognition using Cross-view Video Prediction	Shruti Vyas, Yogesh S Rawat, Mubarak Shah	PDF	N/A
Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation	Mingmin Zhen, Shiwei Li, Lei Zhou, Jiaxiang Shang, Haoan Feng, Tian Fang, Long Quan	PDF	N/A
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction	Sriram N N, Buyu Liu, Francesco Pittaluga, Manmohan Chandraker	PDF	N/A
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation	Jinyu Yang, Weizhi An, Sheng Wang, Xinliang Zhu, Chaochao Yan, Junzhou Huang	PDF	N/A
Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts	Chi-Chong Wong, Chi-Man Vong	PDF	N/A
Attributional Robustness Training using Input-Gradient Spatial Alignment	Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N Balasubramanian, Balaji Krishnamurthy	PDF	N/A
Reducing the Sim-to-Real Gap for Event Cameras	Timo Stoffregen, Cedric Scheerlinck, Davide Scaramuzza, Tom Drummond, Nick Barnes, Lindsay Kleeman, Robert Mahony	PDF	N/A
Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning	Liangliang Ren, Yangyang Song, Jiwen Lu, Jie Zhou	PDF	N/A
Learning Data Augmentation Strategies for Object Detection	Barret Zoph, Ekin D. Cubuk, Golnaz Ghiasi, Tsung-Yi Lin, Jonathon Shlens, Quoc V. Le	PDF	N/A
DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search	Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan	PDF	N/A
A Closer Look at Generalisation in RAVEN	Steven Spratley, Krista Ehinger, Tim Miller	PDF	N/A
Supervised Edge Attention Network for Accurate Image Instance Segmentation	Xier Chen, Yanchao Lian, Licheng Jiao, Haoran Wang, YanJie Gao, Shi Lingling	PDF	N/A
Discriminative Partial Domain Adversarial Network	Jian Hu, Hongya Tuo, Chao Wang, Lingfeng Qiao, Haowen Zhong, Junchi Yan, Zhongliang Jing, Henry Leung	PDF	N/A
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model	John Janiczek, Parth Thaker, Gautam Dasarathy, Christopher S. Edwards , Philip Christensen, Suren Jayasuriya	PDF	N/A
Deep Cross-species Feature Learning for Animal Face Recognition via Residual Interspecies Equivariant Network	Xiao Shi, Chenxue Yang, Xue Xia, Xiujuan Chai	PDF	N/A
Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes	Liang Liao, Jing Xiao, Zheng Wang, Chia-Wen Lin, Shin’ichi Satoh	PDF	N/A
Sound2Sight: Generating Visual Dynamics from Sound and Context	Moitreya Chatterjee, Anoop Cherian	PDF	N/A
3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection	Jin Hyeok Yoo, Yecheol Kim, Jisong Kim, Jun Won Choi	PDF	N/A
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models	Karishma Sharma, Pinar Donmez, Enming Luo, Yan Liu, I. Zeki Yalniz	PDF	N/A
Fast Adaptation to Super-Resolution Networks via Meta-Learning	Seobin Park, Jinsu Yoo, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim	PDF	N/A
TP-LSD: Tri-Points Based Line Segment Detector	Siyu Huang, Fangbo Qin, Pengfei Xiong, Ning Ding, Yijia He, Xiao Liu	PDF	N/A
SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation	Chenfeng Xu, Bichen Wu, Zining Wang, Wei Zhan, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka	PDF	N/A
An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification	Zilong Ji, Xiaolong Zou, Xiaohan Lin, Xiao Liu, Tiejun Huang, Si Wu	PDF	N/A
Toward Fine-grained Facial Expression Manipulation	Jun Ling, Han Xue, Li Song, Shuhui Yang, Rong Xie, Xiao Gu	PDF	N/A
Adaptive Object Detection with Dual Multi-Label Prediction	Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye	PDF	N/A
Table Structure Recognition using Top-Down and Bottom-Up Cues	Sachin Raja, Ajoy Mondal, C V Jawahar	PDF	N/A
Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder	Mingyu Yin, Li Sun, Qingli Li	PDF	N/A
Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments	Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, Stefan Lee	PDF	N/A
Boundary Content Graph Neural Network for Temporal Action Proposal Generation	Yueran Bai, Yingying Wang, Yunhai Tong, Yang Yang, Qiyue Liu, Junhui Liu	PDF	N/A
Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition	Yunhao Ge, Jiaping Zhao, Laurent Itti	PDF	N/A
VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval	Minuk Ma, Sunjae Yoon, Junyeong Kim, Youngjoon Lee, Sunghun Kang, Chang D. Yoo	PDF	N/A
Attention-Based Query Expansion Learning	Albert Gordo, Filip Radenovic, Tamara Berg	PDF	N/A
Interpretable Foreground Object Search As Knowledge Distillation	Boren Li, Po-Yu Zhuang, Jian Gu, Mingyang Li, Ping Tan	PDF	N/A
Improving Knowledge Distillation via Category Structure	Zailiang Chen, Xianxian Zheng, Hailan Shen, Ziyang Zeng, Yukun Zhou, Rongchang Zhao	PDF	N/A
High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images	Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton	PDF	N/A
Attentive Prototype Few-shot Learning with Capsule Network-based Embedding	Fangyu Wu, Jeremy S.Smith, Wenjin Lu, Chaoyi Pang, Bailing Zhang	PDF	N/A
Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances	Aditya Arun, C.V. Jawahar, M. Pawan Kumar	PDF	N/A
DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving	Yao Zhou, Guowei Wan, Shenhua Hou, Li Yu, Gang Wang, Xiaofei Rui, Shiyu Song	PDF	N/A
Visual-Relation Conscious Image Generation from Structured-Text	Duc Minh Vo, Akihiro Sugimoto	PDF	N/A
Patch-wise Attack for Fooling Deep Neural Network	Lianli Gao, Qilong Zhang, Jingkuan Song, Xianglong Liu, Heng Tao Shen	PDF	N/A
Feature Pyramid Transformer	Dong Zhang, Hanwang Zhang, Jinhui Tang, Meng Wang, Xiansheng Hua, Qianru Sun	PDF	N/A
MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module	Jiabin Xing, Zhi Qi, Jiying Dong, Jiaxuan Cai, Hao Liu	PDF	N/A
Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes	Lingxiao He, Wu Liu	PDF	N/A
Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection	Miao Zhang, Sun Xiao Fei, Jie Liu, Shuang Xu, Yongri Piao, Huchuan Lu	PDF	N/A
Explaining Image Classifiers using Statistical Fault Localization	Youcheng Sun, Hana Chockler, Xiaowei Huang, Daniel Kroening	PDF	N/A
Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers	Michal Rolínek, Paul Swoboda, Dominik Zietlow, Anselm Paulus, Vít Musil, Georg Martius	PDF	N/A
Learning Video Representations by Transforming Time	Simon Jenni, Givi Meishvili, Paolo Favaro	PDF	N/A
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation	Madhu Vankadari, Sourav Garg, Anima Majumder, Swagat Kumar, Ardhendu Behera	PDF	N/A
Variational Connectionist Temporal Classification	Linlin Chao, Jingdong Chen, Wei Chu	PDF	N/A
End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation	Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason Traish, Chen Deng, Sam Ferguson, Richard Yi Da Xu	PDF	N/A
Orderly Disorder in Point Cloud Domain	Morteza Ghahremani, Bernard Tiddeman, Yonghuai Liu, and Ardhendu Behera	PDF	N/A
Deep Decomposition Learning for Inverse Imaging Problems	Dongdong Chen, Mike E. Davies	PDF	N/A
FLOT: Scene Flow on Point Clouds guided by Optimal Transport	Gilles Puy, Alexandre Boulch, Renaud Marlet	PDF	N/A
Accurate Reconstruction of Oriented 3D Points using Affine Correspondences	Carolina Raposo, Joao P. Barreto	PDF	N/A
Volumetric Transformer Networks	Seungryong Kim, Sabine Ssstrunk, Mathieu Salzmann	PDF	N/A
360(o) Camera Alignment via Segmentation	Benjamin Davidson, Mohsan S. Alvi, João F. Henriques	PDF	N/A
A Novel Line Integral Transform for 2D Affine-Invariant Shape Retrieval	Bin Wang, Yongsheng Gao	PDF	N/A
Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks	Federico Baldassarre, Kevin Smith, Josephine Sullivan, Hossein Azizpour	PDF	N/A
Guided Semantic Flow	Sangryul Jeon, Dongbo Min, Seungryong Kim, Jihwan Choe, Kwanghoon Sohn	PDF	N/A
Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentation	Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy	PDF	N/A
Measuring the Importance of Temporal Features in Video Saliency	Matthias Tangemann, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge	PDF	N/A
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution	Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han	PDF	N/A
Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images	Leonardo Citraro, Mateusz Koziński, Pascal Fua	PDF	N/A
Online Continual Learning under Extreme Memory Constraints	Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci	PDF	N/A
Learning to Cluster under Domain Shift	Willi Menapace, Stéphane Lathuilière, Elisa Ricci	PDF	N/A
Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds	Yueru Li, Shuyu Cheng, Hang Su, Jun Zhu	PDF	N/A
Improving Optical Flow on a Pyramid Level	Markus Hofinger, Samuel Rota Bulò, Lorenzo Porzi, Arno Knapitsch, Thomas Pock, Peter Kontschieder	PDF	N/A
Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations	Sungheon Park, Minsik Lee, Nojun Kwak	PDF	N/A
Learning to Learn Parameterized Classification Networks for Scalable Input Images	Duo Li, Anbang Yao, Qifeng Chen	PDF	N/A
Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction	Yuanhao Wang, Ramzi Idoughi, Wolfgang Heidrich	PDF	N/A
Simplicial Complex based Point Correspondence between Images warped onto Manifolds	Charu Sharma, Manohar Kaul	PDF	N/A
Representation Learning on Visual-Symbolic Graphs for Video Understanding	Effrosyni Mavroudi, Benjamín Béjar Haro, René Vidal	PDF	N/A
Distance-Normalized Unified Representation for Monocular 3D Object Detection	Xuepeng Shi, Zhixiang Chen, Tae-Kyun Kim	PDF	N/A
Sequential Deformation for Accurate Scene Text Detection	Shanyu Xiao, Liangrui Peng, Ruijie Yan, Keyu An, Gang Yao, Jaesik Min	PDF	N/A
Where to Explore Next? ExHistCNN for History-aware Autonomous 3D Exploration	Yiming Wang, Alessio Del Bue	PDF	N/A
Semi-Supervised Segmentation based on Error-Correcting Supervision	Robert Mendel, Luis Antonio de Souza Jr, David Rauber, João Paulo Papa, Christoph Palm	PDF	N/A
Quantum-soft QUBO Suppression for Accurate Object Detection	Junde Li, Swaroop Ghosh	PDF	N/A
Label-similarity Curriculum Learning	Ürün Dogan, Aniket Anand Deshmukh, Marcin Bronislaw Machura, Christian Igel	PDF	N/A
Recurrent Image Annotation With Explicit Inter-Label Dependencies	Ayushi Dutta, Yashaswi Verma, C.V. Jawahar	PDF	N/A
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution	Jing Yao, Danfeng Hong, Jocelyn Chanussot, Deyu Meng, Xiaoxiang Zhu , Zongben Xu	PDF	N/A
SimPose: Effectively Learning DensePose and Surface Normals of People from Simulated Data	Tyler Zhu, Per Karlsson, Christoph Bregler	PDF	N/A
ByeGlassesGAN: Identity Preserving Eyeglasses Removal for Face Images	Yu-Hui Lee, Shang-Hong Lai	PDF	N/A
Differentiable Joint Pruning and Quantization for Hardware Efficiency	Ying Wang, Yadong Lu, Tijmen Blankevoort	PDF	N/A
Learning to Generate Customized Dynamic 3D Facial Expressions	Rolandos Alexandros Potamias, Jiali Zheng, Stylianos Ploumpis, Giorgos Bouritsas, Evangelos Ververas, Stefanos Zafeiriou	PDF	N/A
LandscapeAR: Large Scale Outdoor Augmented Reality by Matching Photographs with Terrain Models Using Learned Descriptors	Jan Brejcha, Michal Lukáč, Yannick Hold-Geoffroy, Oliver Wang, Martin Čadík	PDF	N/A
Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration	Xin Li, Xin Jin, Jianxin Lin, Sen Liu, Yaojun Wu, Tao Yu, Wei Zhou , Zhibo Chen	PDF	N/A
Jointly De-biasing Face Recognition and Demographic Attribute Estimation	Sixue Gong, Xiaoming Liu, Anil K. Jain	PDF	N/A
Regularized Loss for Weakly Supervised Single Class Semantic Segmentation	Olga Veksler	PDF	N/A
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks	Chankyu Lee, Adarsh Kumar Kosta, Alex Zihao Zhu, Kenneth Chaney, Kostas Daniilidis, Kaushik Roy	PDF	N/A
Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations	Aditya Golatkar, Alessandro Achille, Stefano Soatto	PDF	N/A
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations	Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy	PDF	N/A
Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks	Baris Gecer, Alexandros Lattas, Stylianos Ploumpis, Jiankang Deng, Athanasios Papaioannou, Stylianos Moschoglou, Stefanos Zafeiriou	PDF	N/A
Learning to Learn Words from Visual Scenes	Dídac Surís, Dave Epstein, Heng Ji, Shih-Fu Chang, Carl Vondrick	PDF	N/A
On Transferability of Histological Tissue Labels in Computational Pathology	Mahdi S. Hosseini, Lyndon Chan, Weimin Huang, Yichen Wang, Danial Hasan, Corwyn Rowsell, Savvas Damaskinos, Konstantinos N. Plataniotis	PDF	N/A
Learning Actionness via Long-range Temporal Order Verification	Dimitri Zhukov, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic	PDF	N/A
Fully Embedding Fast Convolutional Networks on Pixel Processor Arrays	Laurie Bose, Piotr Dudek, Jianing Chen, Stephen J. Carey, Walterio W. Mayol-Cuevas	PDF	N/A
Character Region Attention For Text Spotting	Youngmin Baek, Seung Shin, Jeonghun Baek, Sungrae Park, Junyeop Lee , Daehyun Nam, Hwalsuk Lee	PDF	N/A
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network	Anh-Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov , Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan Oseledets, Andrzej Cichocki	PDF	N/A
Dual Mixup Regularized Learning for Adversarial Domain Adaptation	Yuan Wu, Diana Inkpen, Ahmed El-Roby	PDF	N/A
Robust and On-the-fly Dataset Denoising for Image Classification	Jiaming Song, Yann Dauphin, Michael Auli, Tengyu Ma	PDF	N/A
Imaging Behind Occluders Using Two-Bounce Light	Connor Henley, Tomohiro Maeda, Tristan Swedish, Ramesh Raskar	PDF	N/A
Improving Object Detection with Selective Self-Supervised Self-Training	Yandong Li, Di Huang, Danfeng Qin, Liqiang Wang, Boqing Gong	PDF	N/A
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction	Rohan Chabra, Jan E. Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard Newcombe	PDF	N/A
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning	Aditya Sanghi	PDF	N/A
Adversarial Data Augmentation via Deformation Statistics	Sahin Olut, Zhengyang Shen, Zhenlin Xu, Samuel Gerber, Marc Niethammer	PDF	N/A
Neural Predictor for Neural Architecture Search	Wei Wen, Hanxiao Liu, Yiran Chen, Hai Li, Gabriel Bender, Pieter-Jan Kindermans	PDF	N/A
Learning Permutation Invariant Representations using Memory Networks	Shivam Kalra, Mohammed Adnan, Graham Taylor, H.R. Tizhoosh	PDF	N/A
Feature Space Augmentation for Long-Tailed Data	Peng Chu, Xiao Bian, Shaopeng Liu, Haibin Ling	PDF	N/A
Laying the Foundations of Deep Long-Term Crowd Flow Prediction	Samuel S. Sohn, Honglu Zhou, Seonghyeon Moon, Sejong Yoon, Vladimir Pavlovic, Mubbasir Kapadia	PDF	N/A
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning	Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu	PDF	N/A
Fairness by Learning Orthogonal Disentangled Representations	Mhd Hasan Sarhan, Nassir Navab, Abouzar Eslami, Shadi Albarqouni	PDF	N/A
Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation	Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert	PDF	N/A
On Diverse Asynchronous Activity Anticipation	He Zhao, Richard P. Wildes	PDF	N/A
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery	Razieh Kaviani Baghbaderani, Ying Qu, Hairong Qi, Craig Stutts	PDF	N/A
Structure-Aware Human-Action Generation	Ping Yu, Yang Zhao, Chunyuan Li, Junsong Yuan, Changyou Chen	PDF	N/A
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition	Niamul Quader, Juwei Lu, Peng Dai, Wei Li	PDF	N/A
S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data	Bin Cheng, Inderjot Singh Saggu, Raunak Shah, Gaurav Bansal, Dinesh Bharadia	PDF	N/A
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning	Maunil R Vyas, Hemanth Venkateswara, Sethuraman Panchanathan	PDF	N/A
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks	Niamul Quader, Md Mafijul Islam Bhuiyan, Juwei Lu, Peng Dai, Wei Li	PDF	N/A
UNITER: UNiversal Image-TExt Representation Learning	Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu	PDF	N/A
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks	Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao	PDF	N/A
Improving Face Recognition from Hard Samples via Distribution Distillation Loss	Yuge Huang, Pengcheng Shen, Ying Tai, Shaoxin Li, Xiaoming Liu, Jilin Li, Feiyue Huang, Rongrong Ji	PDF	N/A
Extract and Merge: Superpixel Segmentation with Regional Attributes	Jianqiao An, Yucheng Shi, Yahong Han, Meijun Sun, Qi Tian	PDF	N/A
Spatial-Adaptive Network for Single Image Denoising	Meng Chang, Qi Li, Huajun Feng, Zhihai Xu	PDF	N/A
Physics-based Feature Dehazing Networks	Jiangxin Dong, Jinshan Pan	PDF	N/A
Learning Surrogates via Deep Embedding	Yash Patel, Tomáš Hodaň, Jiří Matas	PDF	N/A
An Asymmetric Modeling for Action Assessment	Jibin Gao, Wei-Shi Zheng, Jia-Hui Pan, Chengying Gao, Yaowei Wang, Wei Zeng, Jianhuang Lai	PDF	N/A
High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation	Wenyu Sun, Chen Tang, Weigui Li, Zhuqing Yuan, Huazhong Yang, Yongpan Liu	PDF	N/A
Instance-Aware Embedding for Point Cloud Instance Segmentation	Tong He, Yifan Liu, Chunhua Shen, Xinlong Wang, Changming Sun	PDF	N/A
Self-Paced Deep Regression Forests with Consideration on Underrepresented Examples	Lili Pan, Shijie Ai, Yazhou Ren, Zenglin Xu	PDF	N/A
Manifold Projection for Adversarial Defense on Face Recognition	Jianli Zhou, Chao Liang, Jun Chen	PDF	N/A
Weakly Supervised Learning with Side Information for Noisy Labeled Images	Lele Cheng, Xiangzeng Zhou, Liming Zhao, Dangwei Li, Hong Shang, Yun Zheng, Pan Pan, Yinghui Xu	PDF	N/A
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision	Peng Wu, Jing Liu, Yujia Shi, Yujia Sun, Fangtao Shao, Zhaoyang Wu , Zhiwei Yang	PDF	N/A
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection	Rui Fan, Hengli Wang, Peide Cai, Ming Liu	PDF	N/A
Modeling the Space of Point Landmark Constrained Diffeomorphisms	Chengfeng Wen, Yang Guo, Xianfeng Gu	PDF	N/A
PieNet: Personalized Image Enhancement Network	Han-Ul Kim, Young Jun Koh, Chang-Su Kim	PDF	N/A
Rotational Outlier Identification in Pose Graphs Using Dual Decomposition	Arman Karimian, Ziqi Yang, Roberto Tron	PDF	N/A
Speech-driven Facial Animation using Cascaded GANs for Learning of Motion and Texture	Dipanjan Das, Sandika Biswas, Sanjana Sinha, Brojeshwar Bhowmick	PDF	N/A
Solving Phase Retrieval with a Learned Reference	Rakib Hyder, Zikui Cai, M. Salman Asif	PDF	N/A
Dual Grid Net: Hand Mesh Vertex Regression from Single Depth Maps	Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao	PDF	N/A

ECCV 2022

Title	Author	PDF_Link	Code_URL
Paper Title	Authors	N/A	N/A
Contrastive Deep Supervision	Linfeng Zhang (Tsinghua University )*; Xin Chen (Intel Corp.); Junbo Zhang (Tsinghua University); Runpei Dong (Xi’an Jiaotong University); Kaisheng Ma (Tsinghua University )	N/A	N/A
Towards Grand Unification of Object Tracking	Bin Yan (Dalian University of Technology)*; Yi Jiang (Bytedance); Peize Sun (The University of Hong Kong); Dong Wang (Dalian University of Technology); Zehuan Yuan (Bytedance.Inc); Ping Luo (The University of Hong Kong); Huchuan Lu (Dalian University of Technology)	N/A	N/A
SeqFormer: Sequential Transformer for Video Instance Segmentation	Junfeng Wu (Huazhong University of Science and Technology); Yi Jiang (Bytedance); Song Bai (University of Oxford); Wenqing Zhang (Huazhong University of Science and Technology); Xiang Bai (Huazhong University of Science and Technology)*	N/A	N/A
Estimating Spatially-Varying Lighting in Urban Scenes with Disentangled Representation	Jiajun Tang (Peking University); Yongjie Zhu (Beijing University of Posts and Telecommunications); Haoyu Wang (Peking University); Jun Hoong Chan (Peking University); Si Li (Beijing University of Posts and Telecommunications); Boxin Shi (Peking University)*	N/A	N/A
In Defense of Online Models for Video Instance Segmentation	Junfeng Wu (Huazhong University of Science and Technology); Qihao Liu (Johns Hopkins University); Yi Jiang (Bytedance); Song Bai (University of Oxford); Alan Yuille (Johns Hopkins University); Xiang Bai (Huazhong University of Science and Technology)*	N/A	N/A
HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling	Zhongang Cai (SenseTime International Pte Ltd)*; Daxuan Ren (Nanyang Technological University); Ailing Zeng (The Chinese University of Hong Kong); Zhengyu Lin (SenseTime); Tao Yu (Tsinghua University); Wenjia Wang (SenseTime); Xiangyu Fan (Sensetime); Yang Gao (Sensetime); Yifan Yu (ETH Zurich); Liang Pan (Nanyang Technological University); Fangzhou Hong (Nanyang Technological University); Mingyuan Zhang (Nanyang Technological University); Chen Change Loy (Nanyang Technological University); Lei Yang (Sensetime Group Limited); Ziwei Liu (Nanyang Technological University)	N/A	N/A
Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph	Honghui Yang (Zhejiang University)*; Zili Liu (ZJU); Xiaopei Wu (ZhejiangUniversity); Wenxiao Wang (State Key Lab of CAD&CG, Zhejiang University); Wei Qian (Fabu Inc.); Xiaofei He (Zhejiang University); Deng Cai (ZJU)	N/A	N/A
PointScatter: Point Set Representation for Tubular Structure Extraction	Dong Wang (Peking University)*; Zhao Zhang (Peking Univesity); Ziwei Zhao (Peking University); Yuhang Liu (Yizhun Medical AI Co., Ltd); Yihong Chen (Peking University); Liwei Wang (Peking University)	N/A	N/A
D&D: Learning Human Dynamics from Dynamic Camera	Jiefeng Li (Shanghai Jiao Tong University)*; Siyuan Bian (Shanghai Jiao Tong University); Chao Xu (Tencent); Gang Liu (Tencent inc.); Gang Yu (Tencent ); Cewu Lu (Shanghai Jiao Tong University)	N/A	N/A
On Mitigating Hard Clusters for Face Clustering	Yingjie Chen (Peking University); Huasong Zhong (Damo Academy, Alibaba Group); Chong Chen (Alibaba Group)*; Chen Shen (Alibaba Group); Jianqiang Huang (Damo Academy, Alibaba Group); Tao Wang (Peking University); Yun Liang (Peking University); Qianru Sun (Singapore Management University)	N/A	N/A
Recurrent Bilinear Optimization for Binary Neural Networks	Sheng Xu (Beihang University)*; Yanjing Li (Beihang University); Tiancheng Wang (Beihang University); Teli Ma (Shanghai Artificial Intelligence Laboratory); Baochang Zhang (Beihang University); Peng Gao (Chinese university of hong kong); Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Jinhu Lu (Beihang University, Beijing, China); Guodong Guo (IDL, Baidu Research)	N/A	N/A
Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories	Adam Harley (Carnegie Mellon University)*; Zhaoyuan Fang (Carnegie Mellon University); Katerina Fragkiadaki (Carnegie Mellon University)	N/A	N/A
Open-Set Semi-Supervised Object Detection	Yen-Cheng Liu (Georgia Institute of Technology)*; Chih-Yao Ma (Facebook); Xiaoliang Dai (Facebook); Junjiao Tian (Georgia Institute of Technology); Peter Vajda (Facebook); Zijian He (Facebook); Zsolt Kira (Georgia Institute of Technology)	N/A	N/A
Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation	Xian Liu (The Chinese University of Hong Kong)*; Yinghao Xu (Chinese University of Hong Kong); Qianyi Wu (Monash University); Hang Zhou (The Chinese University of Hong Kong); Wayne Wu (SenseTime Research); Bolei Zhou (UCLA)	N/A	N/A
Long-tail Detection with Effective Class-Margins	Jang Hyun Cho (The University of Texas at Austin)*; Philipp Kraehenbuehl (UT Austin)	N/A	N/A
SeqTR: A Simple yet Universal Network for Visual Grounding	Chaoyang Zhu (Xiamen University)*; Yiyi Zhou (Xiamen University); Yunhang Shen (Xiamen University); Gen Luo (Xiamen University); Xingjia Pan (Momenta.ai); Mingbao Lin (Xiamen University, China); Chao Chen (Youtu Laboratory); Liujuan Cao (Xiamen University); Xiaoshuai Sun (Xiamen University); Rongrong Ji (Xiamen University, China)	N/A	N/A
ECLIPSE: Efficient Long-range Video Retrieval using Sight and Sound	Yan-Bo Lin (UNC Chapel Hill)*; Jie Lei (UNC Chapel Hill); Mohit Bansal (University of North Carolina at Chapel Hill); Gedas Bertasius (UNC Chapel Hill)	N/A	N/A
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients	Niklas Hanselmann (Mercedes-Benz AG)*; Katrin Renz (University of Tuebingen); Kashyap Chitta (MPI-IS and University of Tuebingen); Apratim Bhattacharyya (Max Planck Institute for Informatics); Andreas Geiger (University of Tuebingen)	N/A	N/A
Extract Free Dense Labels from CLIP	Chong Zhou (Nanyang Technological University)*; Chen Change Loy (Nanyang Technological University); Bo Dai (Shanghai AI Lab)	N/A	N/A
Frequency Domain Model Augmentation for Adversarial Attack	Yuyang Long (University of Electronic Science and Technology of China)*; Qilong Zhang ( University of Electronic Science and Technology of China); Boheng Zeng (University of Electronic Science and Technology of China); Lianli Gao (The University of Electronic Science and Technology of China); Xianglong Liu (BUAA); Jian Zhang (College of Computer Science and Electronic Engineering, HNU); Jingkuan Song (UESTC)	N/A	N/A
Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors	Oran Gafni (Meta AI Research)*; Adam Polyak (Facebook); Oron Ashual (Facebook AI Research); Shelly Sheynin (Meta); Devi Parikh (Georgia Tech & Facebook AI Research); Yaniv Taigman (Facebook)	N/A	N/A
Weakly Supervised Grounding for VQA in Vision-Language Transformers	Aisha Urooj (University of Central Florida)*; Hilde Kuehne (University of Frankfurt); Chuang Gan (MIT-IBM Watson AI Lab); Niels da Vitoria Lobo (University of Central Florida); Mubarak Shah (University of Central Florida)	N/A	N/A
Practical and Scalable Desktop-based High-Quality Facial Capture	Alexandros Lattas (Imperial College London)*; Yiming Lin (Imperial college); Jayanth Kannan (Lumirithmic); Ekin Ozturk (Imperial College London); Luca Filipi (Lumirithmic); Giuseppe Claudio Guarnera (University of York); Gaurav Chawla (Lumirithmic Limited); Abhijeet Ghosh (Imperial College London)	N/A	N/A
Tracking Objects as Pixel-wise Distributions	Zelin Zhao (The Chinese University of Hong Kong)*; Ze Wu (Megvii); Yueqing Zhuang (Megvii Inc Company); Boxun Li (Megvii Inc.); Jiaya Jia (Chinese University of Hong Kong)	N/A	N/A
CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation	Yunyao Mao (University of Science and Technology of China)*; Wengang Zhou (University of Science and Technology of China); Zhenbo Lu (Institute of Artificial Intelligence, Hefei Comprehensive National Science Center); Jiajun Deng (University of Science and Technology of China); Houqiang Li (University of Science and Technology of China)	N/A	N/A
Open-Vocabulary DETR with Conditional Matching	Yuhang Zang (Nanyang Technological University)*; Wei Li (Nanyang Technological University); Kaiyang Zhou (Nanyang Technological University); Chen Huang (Apple); Chen Change Loy (Nanyang Technological University)	N/A	N/A
Towards Calibrated Hyper-sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning	Hualiang Wang (Zhejiang University)*; Siming FU (Zhejiang University); Xiaoxuan He (Zhejiang University); Hangxiang Fang (Zhejiang University); Zuozhu Liu (Zhejiang-UIUC Institute); Haoji Hu (Zhejiang University, China)	N/A	N/A
FBNet: Feedback Network for Point Cloud Completion	Xuejun Yan (Hikvision Research Institue)*; Hongyu Yan (Sichuan Universite); Jingjing Wang (Hikvision Research Institute); Hang Du (Hikvision Research Institute); Zhihong Wu (Sichuan University); Di Xie (Hikvision Research Institute); Shiliang Pu (Hikvision Research Institute); Li Lu (Sichuan University)	N/A	N/A
Physically-Based Editing of Indoor Scene Lighting from a Single Image	Zhengqin Li (Meta)*; Jia Shi (Carnegie Mellon University); Sai Bi (Adobe Research); Rui Zhu (University of California San Diego ); Kalyan Sunkavalli (Adobe Research); Milos Hasan (Adobe Research); Zexiang Xu (Adobe Research); Ravi Ramamoorthi (University of California San Diego); Manmohan Chandraker (UC San Diego)	N/A	N/A
GLASS: Global to Local Attention for Scene-Text Spotting	Roi Ronen (Technion)*; Shahar Tsiper (Amazon); Oron Anschel (AWS); Inbal Lavi (Amazon); Amir Markovitz (Amazon); R. Manmatha (Amazon)	N/A	N/A
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation	Antonin Vobecky (Czech Technical University in Prague)*; David Hurych (Valeo.ai); Oriane Siméoni (valeo.ai); Spyros Gidaris (valeo.ai); Andrei Bursuc (valeo.ai); Patrick Pérez (Valeo.ai); Josef Sivic (Czech Technical University)	N/A	N/A
Expanding Language-Image Pretrained Models for General Video Recognition	Bolin Ni (Institute of Automation, Chinese Academy of Sciences); Houwen Peng (Microsoft Research)*; Minghao Chen (Stony Brook University); Songyang Zhang (University of Rochester); Gaofeng Meng (Chinese Academy of Sciences); Jianlong Fu (Microsoft Research); SHIMING XIANG (Chinese Academy of Sciences, China); Haibin Ling (Stony Brook University)	N/A	N/A
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes	Julian Chibane (Max Planck Institute for Informatics, University of Wuerzburg)*; Francis Engelmann (ETH AI Center); Anh Tuan Tran (Max Planck Institute for Informatics, Saarland University); Gerard Pons-Moll (University of Tübingen)	N/A	N/A
Pose-NDF: Modelling Human Pose Manifolds with Neural Distance Fields	Garvita Tiwari (MPI-INF, University of Tübingen)*; Dimitrije Antic (University of Tuebingen); Jan E. Lenssen (TU Dortmund); Nikolaos Sarafianos (Facebook Reality Labs); Tony Tung (Facebook Reality Labs); Gerard Pons-Moll (University of Tübingen)	N/A	N/A
Multimodal Object Detection via Probabilistic Ensembling	Yi-Ting Chen (University of Maryland); Jinghao Shi (Carnegie Mellon University); Zelin Ye (CMU); Mertz Christoph (CMU); Deva Ramanan (Carnegie Mellon University); Shu Kong (Carnegie Mellon University)*	N/A	N/A
CenterFormer: Center-based Transformer for 3D Object Detection	Zixiang Zhou (University of Central Florida)*; xiangchen zhao (Tusimple); Yu Wang (Tusimple); Panqu Wang (TuSimple, Inc); Hassan Foroosh (University of Central Florida)	N/A	N/A
Revisiting a kNN-based Image Classification System with High-capacity Storage	Kengo Nakata (Kioxia Corporation)*; Youyang Ng (Kioxia Corporation); Daisuke Miyashita (Kioxia Corporation); Asuka Maki (Kioxia Corporation); Yu-Chieh Lin (Kioxia Corporation); Jun Deguchi (Kioxia Corporation)	N/A	N/A
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation	Zhaoyuan Yin (Hunan University)*; Pichao Wang (Alibaba Group); Fan Wang (Alibaba Group); Xianzhe Xu (alibaba group); Hanling Zhang (Hunan University); Hao Li (Alibaba Group); rong jin (alibaba group)	N/A	N/A
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder	Yu-Chao Gu (Nankai University)*; Xintao Wang (Tencent); Liangbin Xie (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China); Chao Dong (SIAT); Gen LI (Tencent); Ying Shan (Tencent); Ming-Ming Cheng (Nankai University)	N/A	N/A
CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation	Zhihao Li (Huawei Noah’s Ark Lab)*; Jianzhuang Liu (Huawei Noah’s Ark Lab); Zhensong Zhang (Huawei Noah’s Ark Lab); Songcen Xu (Huawei Noah’s Ark Lab); Youliang Yan (Huawei Noah’s Ark Lab)	N/A	N/A
Pointly-Supervised Panoptic Segmentation	Junsong Fan (Chinese Academy of Sciences, China)*; Zhaoxiang Zhang (Chinese Academy of Sciences, China); Tieniu Tan (NLPR, China)	N/A	N/A
Registration based Few-Shot Anomaly Detection	Chaoqin Huang (Shanghai Jiao Tong University)*; Haoyan Guan (King’s College London); Aofan Jiang (Shanghai Jiao Tong University); Ya Zhang (Cooperative Medianet Innovation Center, Shang hai Jiao Tong University); Michael W Spratling (King’s College London); Yan-Feng Wang (Cooperative medianet innovation center of Shanghai Jiao Tong University)	N/A	N/A
A Level Set Theory for Neural Implicit Evolution under Explicit Flows	Ishit Mehta (University of California San Diego)*; Manmohan Chandraker (UC San Diego); Ravi Ramamoorthi (University of California San Diego)	N/A	N/A
Improving Robustness by Enhancing Weak Subnets	Yong Guo (Max Planck Institute for Informatics)*; David Stutz (Max Planck Institute for Informatics); Bernt Schiele (MPI Informatics)	N/A	N/A
TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes	Mutian Xu (The Chinese University of Hong Kong (Shenzhen))*; Pei Chen (the Chinese University of Hong Kong (Shenzhen)); Haolin Liu (The Chinese University of Hong Kong, Shenzhen); Xiaoguang Han (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen))	N/A	N/A
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark	Li Chen (Shanghai AI Laboratory)*; Chonghao Sima (Purdue University); Yang Li (SenseTime); Zehan Zheng (Shanghai AI Laboratory); Jiajie Xu (Carnegie Mellon University); Xiangwei Geng (SenseTime); Hongyang Li (SenseTime); Conghui He (Shanghai AI Lab); Jianping Shi (Sensetime Group Limited); Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Junchi Yan (Shanghai Jiao Tong University)	N/A	N/A
Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting	Chuhui Xue (Nanyang Technological University); Wenqing Zhang (ByteDance); Yu Hao (Bytedance Inc.); Shijian Lu (Nanyang Technological University); Philip Torr (University of Oxford); Song Bai (University of Oxford)*	N/A	N/A
Adaptive Patch Exiting for Scalable Single Image Super-Resolution	Shizun Wang (Beijing University of Posts and Telecommunications)*; Jiaming Liu (Peking University); Kaixin Chen (Beijing University of Posts and Telecommunications); Xiaoqi Li (Columbia university in the city of New york); Ming Lu (Intel Labs China); Yandong Guo (OPPO Research Institute)	N/A	N/A
Perceptual Artifacts Localization for Inpainting	Lingzhi Zhang (University of Pennsylvania)*; Yuqian Zhou (Adobe); Connelly Barnes (Adobe); Zhe Lin (Adobe Research); Eli Shechtman (Adobe Research, US); Sohrab Amirghodsi (Adobe Research); Jianbo Shi (University of Pennsylvania)	N/A	N/A
Adversarially-Aware Robust Object Detector	ZiYi Dong (Sun Yat-Sen University)*; Pengxu Wei (Sun Yat-sen University); Liang Lin (Sun Yat-sen University)	N/A	N/A
RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds	Tuan-Anh Vu (The Hong Kong University of Science and Technology)*; Thanh Nguyen (Deakin University, Australia); Binh-Son Hua (VinAI Research); Quang Hieu Pham (Woven Planet North America); Sai-Kit Yeung (Hong Kong University of Science and Technology)	N/A	N/A
Generalizable Patch-Based Neural Rendering	Mohammed Suhail (University of British Columbia)*; Carlos Esteves (Google Research); Leonid Sigal (University of British Columbia); Ameesh Makadia (Google Research)	N/A	N/A
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow	Jenny Schmalfuss (University of Stuttgart)*; Philipp Scholze (University of Stuttgart); Andrés Bruhn (University of Stuttgart)	N/A	N/A
Contrastive Monotonic Pixel-Level Modulation	Kun Lu (Zhejiang University)*; Rongpeng Li (Zhejiang University); Honggang Zhang (Zhejiang University)	N/A	N/A
Social-SSL: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-Agent Trajectory Prediction	Li-Wu Tsao (National Chiao Tung University)*; Yan-Kai Wang (National Chiao Tung University); Hao-Siang Lin (National Chiao Tung University); Hong-Han Shuai (National Yang Ming Chiao Tung University); Lai-Kuan Wong (Multimedia University); Wen-Huang Cheng (National Chiao Tung University)	N/A	N/A
SpOT: Spatiotemporal Modeling for 3D Object Tracking	Colton Stearns (Stanford University)*; Davis Rempe (Stanford University); Jie Li (Toyota Research Institute); Rareș A Ambruș (Toyota Research Institute); Sergey Zakharov (Toyota Research Institute); Vitor Guizilini (Toyota Research Institute); Yanchao Yang (Stanford University); Leonidas Guibas (Stanford University)	N/A	N/A
Toward Understanding WordArt: Corner-Guided Transformer for Scene Text Recognition	Xudong Xie (Huazhong University of Science and Technology)*; LING FU (Huazhong University of Science and Technology); Zhifei Zhang (Adobe Research); Zhaowen Wang (Adobe Research); Xiang Bai (Huazhong University of Science and Technology)	N/A	N/A
Monocular 3D Object Detection with Depth from Motion	Tai Wang (The Chinese University of Hong Kong)*; Jiangmiao Pang (CUHK); Dahua Lin (The Chinese University of Hong Kong)	N/A	N/A
Fine-Grained Scene Graph Generation with Data Transfer	Ao Zhang (National University of Singapore)*; Yuan Yao (Tsinghua University); qianyu chen (Tsinghua University); Wei Ji (National University of Singapore); Zhiyuan Liu (Tsinghua University); Maosong Sun (Tsinghua University); Tat-Seng Chua (National university of Singapore)	N/A	N/A
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning	Yajing Kong (The University of Sydney)*; Liu Liu (The University of Sydney); Zhen Wang (The University of Sydney ); Dacheng Tao (JD.com)	N/A	N/A
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses	Robik S Shrestha (Rochester Institute of Technology)*; Kushal Kafle (Adobe Research); Christopher Kanan (University of Rochester)	N/A	N/A
DisCo: Remedying Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning	Yuting Gao (tencent)*; Jia-Xin Zhuang (Sun Yat-sen University); Shaohui Lin (East China Normal University ); Hao Cheng (Tencent); Xing Sun (Shopee); Ke Li (Tencent); Chunhua Shen (“University of Adelaide, Australia”)	N/A	N/A
Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors	Sirui Xu (University of Illinois Urbana-Champaign)*; Yu-Xiong Wang (University of Illinois at Urbana-Champaign); Liangyan Gui (University of Illinois Urbana-Champaign)	N/A	N/A
InfiniteNature-Zero: Learning Perpetual View Generation of Natural Scenes from Single Images	Zhengqi Li (Google Inc.)*; Qianqian Wang (Cornell); Noah Snavely (Google); Angjoo Kanazawa (University of California Berkeley)	N/A	N/A
CT^2: Colorization Transformer via Color Tokens	Shuchen Weng (Peking University)*; Jimeng Sun (Beijing University of Posts and Telecommunications); Yu Li (International Digital Economy Academy); Si Li (Beijing University of Posts and Telecommunications); Boxin Shi (Peking University)	N/A	N/A
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching	Zhelun Shen (Baidu Research)*; Yuchao Dai (Northwestern Polytechnical University); Xibin Song (Baidu); ZhiBo Rao (Northwestern Polytechnical University); Dingfu Zhou (Baidu); Liangjun Zhang (Baidu Research Institute)	N/A	N/A
Discovering Transferable Forensic Features for CNN-generated Images Detection	Keshigeyan Chandrasegaran (Singapore University of Technology and Design)*; Ngoc-Trung Tran (Singapore University of Technology and Design); Alexander Binder (University of Oslo); Ngai-Man Cheung (Singapore University of Technology and Design)	N/A	N/A
Domain Adaptive Person Search	Junjie Li (Shanghai Jiao Tong University); Yichao Yan (Shanghai Jiao Tong University)*; Guanshuo Wang (Tencent Youtu Lab); Fufu Yu (Tencent Youtu); Qiong Jia (Tencent Youtu Lab); Shouhong Ding (Tencent)	N/A	N/A
Text2LIVE: Text-Driven Layered Image and Video Editing	Omer Bar Tal (Weizmann Institute of Science )*; Dolev Ofri-Amar (Weizmann Institute of Science); Rafail Fridman (Weizmann Institute of Science); Yoni Kasten (Weizmann Institute); Tali Dekel (Weizmann Institute of Science)	N/A	N/A
Event-Based Fusion for Motion Deblurring with Cross-modal Attention	Lei Sun (Zhejiang University); Christos Sakaridis (ETH Zurich); Jingyun Liang (ETH Zurich); Qi Jiang (Zhejiang University); Kailun Yang (Karlsruhe Institute of Technology); Peng Sun (Zhejiang University); Yaozu Ye (State Key Laboratory of Modern Optical Instrumentation, Zhejiang University); Kaiwei Wang (State Key Laboratory of Modern Optical Instrumentation, Zhejiang University)*; Luc Van Gool (ETH Zurich)	N/A	N/A
AutoMix: Unveiling the Power of Mixup	Zicheng Liu (Westlake University)*; Siyuan Li (Westlake University); di wu (Westlake University); Zihan Liu (Westlake University); Zhiyuan Chen (Shanghai AI Lab); Lirong Wu (Westlake University); Stan Z. Li (Westlake University)	N/A	N/A
Synergistic Self-Supervised and Quantization Learning	Yunhao Cao (Nanjing University)*; Peiqin Sun (MEGVII Technology); Yechang Huang (MEGVII Technology); Jianxin Wu (Nanjing University); Shuchang Zhou (MEGVII Technology)	N/A	N/A
Auto-regressive Image Synthesis with Integrated Quantization	Fangneng Zhan (Max Planck Institute for Informatics); Yingchen Yu (Nanyang Technological University); Rongliang WU (Nanyang Technological University); Jiahui Zhang (Nanyang Technological University); Kaiwen Cui (Nanyang Technological University); Changgong Zhang (Amazon); Shijian Lu (Nanyang Technological University)*	N/A	N/A
Event-guided Deblurring of Unknown Exposure Time Videos	Taewoo Kim (KAIST)*; Jeongmin Lee (KAIST); Lin Wang (HKUST); Kuk-Jin Yoon (KAIST)	N/A	N/A
Learning Disentanglement with Decoupled Labels for Vision-Language Navigation	Wenhao Cheng (Beijing Institute of Technology); Xingping Dong (Inception Institute of Artificial Intelligence); Salman Khan (MBZUAI/ANU); Jianbing Shen (Inception Institute of Artificial Intelligence)*	N/A	N/A
3D CoMPaT: Composition of Materials on Parts of 3D Things	Yuchen Li (King Abdullah University of Science and Technology (KAUST)); Ujjwal Upadhyay (KAUST); Habib Slim (KAUST); Tezuesh Varshney (KAUST); Ahmed Abdelreheem (KAUST); Arpit Prajapati (Poly9); Suhail S Pothigara (Poly9 Inc); Peter Wonka (KAUST); Mohamed Elhoseiny (KAUST)*	N/A	N/A
Exploring Gradient-based Multi-directional Controls in GANs	Zikun Chen (ModiFace Inc. )*; Ruowei Jiang (ModiFace Inc.); Brendan Duke (ModiFace Inc); Han Zhao (University of Illinois at Urbana-Champaign); Parham Aarabi (ModiFace Inc.)	N/A	N/A
OPD: Single-view 3D Openable Part Detection	Hanxiao Jiang (Simon Fraser University)*; Yongsen Mao (Simon Fraser University); Manolis Savva (Simon Fraser University); Angel X Chang (SFU)	N/A	N/A
Unpaired Image Translation via Vector Symbolic Architectures	Justin Theiss (University of California, Berkeley)*; Jay Leverett (Meta); Daeil Kim (Meta); Aayush Prakash (Meta)	N/A	N/A
CCPL: Contrastive Coherence Preserving Loss for Versatile Style Transfer	Zijie Wu (Huazhong University of Science and Technology)*; Zhen Zhu (University of Illinois at Urbana-Champaign); Junping Du (Beijing University of Posts and Telecommunications); Xiang Bai (Huazhong University of Science and Technology)	N/A	N/A
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness	Chaoning Zhang (KAIST)*; Kang Zhang (KAIST); Chenshuang Zhang (KAIST); Axi Niu (Northwestern Polytechnical University ); Jiu Feng (Sichuan University); Chang D. Yoo (KAIST); In So Kweon (KAIST)	N/A	N/A
Secrets of Event-Based Optical Flow	Shintaro Shiba (Keio University)*; Yoshimitsu Aoki (Keio University); Guillermo Gallego (TU Berlin)	N/A	N/A
Synthesizing Light Field Video from Monocular Video	Shrisudhan Govindarajan (Indian Institute of Technology Madras); Prasan A Shedligeri (Indian Institute of Technology Madras)*; Sarah Sarah (Indian Institute of Technology, Madras); Kaushik Mitra (IIT Madras)	N/A	N/A
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds	Minghua Liu (UCSD)*; Yin Zhou (Waymo); Charles R. Qi (Waymo); Boqing Gong (Google); Hao Su (UCSD); Dragomir Anguelov (Waymo)	N/A	N/A
3D-Aware Indoor Scene Synthesis with Depth Priors	Zifan SHI (HKUST)*; Yujun Shen (Dept. of IE, CUHK); Jiapeng Zhu (HKUST); Dit-Yan Yeung (HKUST); Qifeng Chen (HKUST)	N/A	N/A
Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks	xiaotao hu (Nankai University); Jun Xu (Nankai University)*; Shuhang Gu (ETH Zurich, Switzerland); Ming-Ming Cheng (Nankai University); Li Liu (the inception institute of artificial intelligence)	N/A	N/A
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction	jiamian wang (Santa Clara University)*; Yulun Zhang (ETH Zurich); Xin Yuan (Westlake University); Ziyi Meng (Kuaishou Technology); Zhiqiang Tao (Santa Clara University)	N/A	N/A
Perceiving and Modeling Density for Image Dehazing	Tian Ye (Jimei University)*; Yunchen Zhang (China Design Group Ltd.Co); Erkang Chen (Jimei University); MingChao Jiang (JOYY.INC); Yun Liu (Southwest University); Liang Chen (Fujian Normal University); Sixiang Chen (JiMei University)	N/A	N/A
ROBIN: A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts	Bingchen Zhao (University of Edinburgh)*; Shaozuo Yu (Tongji University); Wufei Ma (Purdue University); Mingxin Yu (Peking University); Shenxiao Mei (Johns Hopkins University); Angtian Wang (Johns Hopkins University); Ju He (Johns Hopkins University); Alan Yuille (Johns Hopkins University); Adam Kortylewski (Max Planck Institute for Informatics)	N/A	N/A
Delving into Details: Synopsis-to-Detail Networks for Video Recognition	Shuxian Liang (Zhejiang University)*; Xu Shen (Alibaba Group); Jianqiang Huang (Alibaba Group); Xian-Sheng Hua (Alibaba Group)	N/A	N/A
Bringing Rolling Shutter Images Alive with Dual Reversed Distortion	Zhihang Zhong (The University of Tokyo); Mingdeng Cao (Tsinghua University); Xiao Sun (Microsoft Research Asia); Zhirong Wu (Microsoft Research); Zhongyi Zhou (The University of Tokyo); Yinqiang Zheng (The University of Tokyo)*; Stephen Lin (Microsoft Research); Imari Sato (National Institute of Informatics)	N/A	N/A
SimCC: a Simple Coordinate Classification Perspective for Human Pose Estimation	Yanjie Li (Tsinghua University)*; Sen Yang (Southeast University); Peidong Liu (Tsinghua University); 寿奎 张 (meituan); Yunxiao Wang (Tsinghua University); Zhicheng Wang (Nreal); Wankou Yang (Southeast University); Shu-Tao Xia (Tsinghua University)	N/A	N/A
Generative Multiplane Images: Making a 2D GAN 3D-Aware	Xiaoming Zhao (University of Illinois at Urbana-Champaign)*; Fangchang Ma (Apple Inc.); David Güera (Apple Inc.); Zhile Ren (Apple Inc.); Alexander Schwing (UIUC); Alex Colburn (Apple Inc.)	N/A	N/A
Self-supervised Social Relation Representation for Human Group Detection	Jiacheng Li (College of Intelligence and Computing, Tianjin University); Ruize Han (College of Intelligence and Computing, Tianjin University)*; Haomin Yan (Tianjin University); Zekun Qian (College of Intelligence and Computing, Tianjin University); Wei Feng (College of Intelligence and Computing, Tianjin University, China); Song Wang (University of South Carolina)	N/A	N/A
Stripformer: Strip Transformer for Fast Image Deblurring	Fu-Jen Tsai (National Tsing Hua University)*; Yan-Tsung Peng (National Chengchi University); Yen-Yu Lin (National Yang Ming Chiao Tung University); Chung-Chi Tsai (Qualcomm Technology); Chia-Wen Lin (National Tsing Hua University)	N/A	N/A
Deep Fourier-based Exposure Correction Network with Spatial-Frequency Interaction	Jie Huang (University of Science and Technology of China); Yajing Liu (USTC); Feng Zhao (University of Science and Technology of China)*; Keyu Yan (University of Science and Technology of China); Jinghao Zhang (University of Science and Technology of China); Yukun Huang (University of Science and Technology of China); man zhou (University of Science and Technology of China); Zhiwei Xiong (University of Science and Technology of China)	N/A	N/A
Organic Priors in Non-Rigid Structure from Motion	Suryansh Kumar (ETH Zurich)*; Luc Van Gool (ETH Zurich)	N/A	N/A
TEMOS: Generating diverse human motions from textual descriptions	Mathis Petrovich (Ecole des Ponts)*; Michael Black (Max Planck Institute for Intelligent Systems); Gul Varol (Ecole des Ponts ParisTech)	N/A	N/A
Semantic-Aware Fine-Grained Correspondence	Yingdong Hu (Tsinghua University); Renhao Wang (Tsinghua University); Kaifeng Zhang (Tsinghua University); Yang Gao (Tsinghua University)*	N/A	N/A
Layered Controllable Video Generation	Jiahui Huang (University of British Columbia)*; Yuhe Jin (University of British Columbia); Kwang Moo Yi (University of British Columbia); Leonid Sigal (University of British Columbia)	N/A	N/A
GraphVid: It Only Takes a Few Nodes to Understand a Video	Eitan Kosman (Bosch AI)*; Dotan Di Castro (Bosch)	N/A	N/A
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection	Yu Hong (Zhejiang University); Hang Dai (Mohamed bin Zayed University of Artificial Intelligence)*; Yong Ding (Zhejiang University)	N/A	N/A
Adaptive Token Sampling For Efficient Vision Transformers	Mohsen Fayyaz (Microsoft)*; Soroush Abbasi Koohpayegani (University of Maryland Baltimore County); Farnoush Rezaei Jafari (Technische Universität Berlin); Sunando Sengupta (Microsoft); HAMID VAEZI JOZE (Microsoft); Eric Sommerlade (Microsoft); Hamed Pirsiavash (University of California Davis); Jürgen Gall (University of Bonn)	N/A	N/A
Implicit Field Supervision For Robust Non-Rigid Shape Matching	Ramana S Sundararaman (Ecole Polytechnique)*; Gautam Pai (École Polytechnique); Maks Ovsjanikov (Ecole polytechnique)	N/A	N/A
NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing	Bangbang Yang (Zhejiang University); Chong Bao (Zhejiang University); Junyi Zeng (Zhejiang University); Hujun Bao (Zhejiang University); Yinda Zhang (Google); Zhaopeng Cui (Zhejiang University); Guofeng Zhang (Zhejiang University)*	N/A	N/A
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution	Jiahong Fu (Xi’an Jiaotong University)*; Hong Wang (Jarvis Lab,Tencent ); Qi Xie (Xi’an Jiaotong University); Qian Zhao (Xi’an Jiaotong University); Deyu Meng (Xi’an Jiaotong University); Zongben Xu (Xi’an Jiaotong University)	N/A	N/A
RealFlow: EM-based Realistic Optical Flow Datasets Generation from Videos	Yunhui Han (THU;Megvii); Kunming Luo (Megvii); Ao Luo (Megvii); Jiangyu Liu (megvii inc); Haoqiang Fan (Megvii Inc（face++）); Guiming Luo (School of Software, Tsinghua University); Shuaicheng Liu (UESTC; Megvii)*	N/A	N/A
Semi-supervised Object Detection via Virtual Category Learning	Changrui Chen (University of Warwick); Kurt Debattista (University of Warwick, UK); Jungong Han (Aberystwyth University)*	N/A	N/A
PrivHAR: Recognizing Human Actions From Privacy-preserving Lens	Carlos Hinojosa (Universidad Industrial de Santander)*; Miguel A Marquez (UIS Colombia); Henry Arguello (Universidad Industrial Santander); Ehsan Adeli (Stanford University); Li Fei-Fei (Stanford University); Juan Carlos Niebles (Salesforce & Stanford University)	N/A	N/A
Solution Space Analysis of Essential Matrix based on Algebraic Error Minimization	Gaku Nakano (NEC Corporation)*	N/A	N/A
EvAC3D: From Event-based Apparent Contours to 3D Models via Continuous Visual Hulls	Ziyun Wang (University of Pennsylvania)*; Kenneth Chaney (University of Pennsylvania); Kostas Daniilidis (University of Pennsylvania)	N/A	N/A
DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization	Ben Xue (Peking University); Shenghui Ran (Alibaba Group); Quan Chen (Alibaba Group)*; Rongfei Jia (Alibaba Group); Binqiang Zhao (Alibaba); Xing Tang (Alibaba Group)	N/A	N/A
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling	Zhengyuan Yang (Microsoft)*; Zhe Gan (Microsoft); Jianfeng Wang (Microsoft); Xiaowei Hu (Microsoft); Faisal Ahmed (Microsoft); Zicheng Liu (Microsoft); Yumao Lu (Microsoft); Lijuan Wang (Microsoft)	N/A	N/A
Grasp’D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands	Dylan Turpin (University of Toronto)*; Liquan Wang (University of Toronto); Eric Heiden (University of Southern California); Yun-Chun Chen (University of Toronto ); Miles Macklin (NVIDIA); Stavros Tsogkas (University of Toronto); Sven Dickinson (University of Toronto); Animesh Garg (University of Toronto, Vector Institute, Nvidia)	N/A	N/A
The Abduction of Sherlock Holmes: A Dataset for Visual Abductive Reasoning	Jack Hessel (Allen Institute for AI)*; Jena D Hwang (Allen Institute for AI); Jae Sung Park (University of Washington); Rowan Zellers (University of Washington); Chandra Bhagavatula (AllenAI); Anna Rohrbach (UC Berkeley); Kate Saenko (Boston University); Yejin Choi (University of Washington)	N/A	N/A
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data	SK MIRAJ AHMED (University of California Riverside); Suhas Lohit (Mitsubishi Electric Research Laboratories)*; Kuan-Chuan Peng (Mitsubishi Electric Research Laboratories (MERL)); Michael J Jones (MERL); Amit K. Roy-Chowdhury (University of California, Riverside)	N/A	N/A
Approximate Differentiable Rendering with Algebraic Surfaces	Leonid Keselman (Carnegie Mellon University)*; Martial Hebert (Carnegie Mellon School of Computer Science)	N/A	N/A
Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous Environments	Jacob Krantz (Oregon State University)*; Stefan Lee (Oregon State University)	N/A	N/A
Uncertainty-DTW for Time Series and Sequences	Lei Wang (The Australian National University); Piotr Koniusz (ANU College of Engineering and Computer Science)*	N/A	N/A
Affine Correspondences between Multi-Camera Systems for 6DOF Relative Pose Estimation	Banglei Guan (National University of Defense Technology)*; Ji Zhao (Huazhong University of Science and Technology)	N/A	N/A
Improving Self-supervised Lightweight Model Learning via Hard-aware Metric Distillation	Hao Liu (Beijing Institute of Technology); Mang Ye (Wuhan University)*	N/A	N/A
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion	Chenfei Wu (Microsoft)*; Jian Liang (Peking University); Lei Ji (Microsoft); Fan Yang (MSRA); Yuejian Fang (Peking University); Daxin Jiang (Microsoft, Beijing, China); Nan Duan (Microsoft Research)	N/A	N/A
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation	Ye Yu (Microsoft)*; Jialin Yuan (Oregon State University); Gaurav Mittal (Microsoft); Li Fuxin (Oregon State University); Mei Chen (Microsoft)	N/A	N/A
DiffuStereo: High Quality Human Reconstruction via Diffusion-based Stereo Using Sparse Cameras	Ruizhi Shao (Tsinghua University); Zerong Zheng (Tsinghua University); Hongwen Zhang (Tsinghua University); Jingxiang Sun (University of Illinois Urbana-Champaign); Yebin Liu (Tsinghua University)*	N/A	N/A
The Challenges of Continuous Self-Supervised Learning	Senthil Purushwalkam (Carnegie Mellon University); Pedro Morgado (CMU)*; Abhinav Gupta (CMU/FAIR)	N/A	N/A
Deep Radial Embedding for Visual Sequence Learning	Yuecong Min (Institute of Computing Technology, Chinese Academy of Sciences); Peiqi Jiao (Institute of Computing Technology, Chinese Academy of Sciences); Yanan Li (Xiaomi); Wang Xiaotao (XIaomi); LEI LEI (Xiaomi); Xiujuan Chai (Agricultural Information Institute, Chinese); Xilin Chen (Institute of Computing Technology, Chinese Academy of Sciences)*	N/A	N/A
Shape-Pose Disentanglement using SE(3)-equivariant Vector Neurons	Oren Katzir (Tel Aviv University)*; Dani Lischinski (The Hebrew University of Jerusalem); Danny Cohen-Or (Tel Aviv University)	N/A	N/A
3D Object Detection with a Self-supervised Lidar Scene Flow Backbone	Emeç Erçelik (Technical University of Munich)*; Ekim Yurtsever (The Ohio State University); Mingyu Liu (TUM); Zhijie Yang (Technical University of Munich); Hanzhen Zhang (TUM); Pınar Topçam (Technical University of Munich ); Maximilian Listl (Technical University of Munich); Yılmaz Kaan Kaan Çaylı (Technical University of Munich); Alois C. Knoll (Robotics and Embedded Systems)	N/A	N/A
FH-Net: A Fast Hierarchical Network for Scene Flow Estimation on Real-world Point Clouds	lihe Ding (Beijing Institute of Technology)*; Shaocong Dong (Beijing Institute of Technology); Tingfa Xu (Beijing Institute of Technology); xinli Xu (Beijing Institute of Technology); Jie Wang (Beijing Institute of Technology); Jianan Li (Beijing Institute of Technology)	N/A	N/A
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting	Yangzheng Wu (Queen’s University)*; Mohsen Zand (Queen’s University); Ali Etemad (Queen’s University); Michael Alan Greenspan (Queen’s University)	N/A	N/A
Flow graph to Video Grounding for Weakly-supervised Multi-Step Localization	NIKITA DVORNIK (Samsung)*; Isma Hadji (Samsung AI Center – Toronto); Hai X Pham (Samsung AI Center); Dhaivat Bhatt (Samsung); Brais Martinez (Samsung AI Center); Afsaneh Fazly (SAIC Toronto); Allan D Jepson (Samsung Toronto AIC)	N/A	N/A
Neural Radiance Transfer Fields for Relightable Novel-view Synthesis with Global Illumination	Linjie Lyu (MPII)*; Ayush Tewari (MIT); Thomas Leimkuehler (MPI Informatik); Marc Habermann (Max Planck Institute for Informatics); Christian Theobalt (MPI Informatik)	N/A	N/A
Learning Topological Interactions for Multi-Class Medical Image Segmentation	Saumya Gupta (Stony Brook University)*; Xiaoling Hu (Stony Brook University); James Kaan (Stony Brook University); Michael Jin (Stony Brook University Hospital); Mutshipay Christian Mpoy (SUNY Stony Brook Medicine); Katherine Chung (Stony Brook University Hospital); Gagandeep Singh (RWJBarnabas Health); Mary Saltz (Stony Brook); Tahsin Kurc (Stony Brook University); Joel Saltz (Stony Brook University); APOSTOLOS K TASSIOPOULOS (Stony Brook University); Prateek Prasanna (Stony Brook University); Chao Chen (Stony Brook University)	N/A	N/A
Look Both Ways: Self-Supervising Driver Gaze Estimation and Road Scene Saliency	Isaac H Kasahara (University of Minnesota); Simon Stent (Toyota Research Institute); Hyun Soo Park (The University of Minnesota)*	N/A	N/A
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection	Mohsen Zand (Queen’s University)*; Ali Etemad (Queen’s University); Michael Alan Greenspan (Queen’s University)	N/A	N/A
Unsupervised Segmentation in Real-World Images via Spelke Object Inference	Honglin Chen (Stanford University); Rahul M V (Stanford University); Yoni I Friedman (MIT); Jiajun Wu (Stanford University); Joshua Tenenbaum (MIT); Daniel Yamins (Stanford University); Daniel Bear (Stanford University)*	N/A	N/A
A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing	Paul Upchurch (Apple)*; Ransen Niu (Apple)	N/A	N/A
Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes	Yu Tian (Australian Institute for Machine Learning, University of Adelaide ); Yuyuan Liu (University of Adelaide); Guansong Pang (Singapore Management University)*; Fengbei Liu (University of Adelaide); Yuanhong Chen (University of Adelaide); Gustavo Carneiro (University of Adelaide)	N/A	N/A
Identifying Hard Noise in Long-Tailed Sample Distribution	Xuanyu Yi (Nanyang Technological University)*; Kaihua Tang (Nanyang Technological University); Xian-Sheng Hua (Damo Academy, Alibaba Group); Joo-Hwee Lim (Institute for Infocomm Research); Hanwang Zhang (Nanyang Technological University)	N/A	N/A
PressureVision: Estimating Hand Pressure from a Single RGB Image	Patrick L Grady (Georgia Institute of Technology)*; Chengcheng Tang (Facebook Reality Labs); Samarth Brahmbhatt (Intel); Christopher D Twigg (Meta); Chengde Wan (Facebook Reality Lab); James Hays (Georgia Institute of Technology, USA); Charlie Kemp (Georgia Institute of Technology)	N/A	N/A
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks	Nan Ding (Google)*; Xi Chen (Google Research); Tomer Levinboim (Google); Soravit Changpinyo (Google Research); Radu Soricut (Google)	N/A	N/A
Beyond Periodicity: Towards a Unifying Framework for Activations in Coordinate-MLPs	Sameera Ramasinghe (University of Adelaide)*; Simon Lucey (University of Adelaide)	N/A	N/A
Pose for Everything: Towards Category-Agnostic Pose Estimation	Lumin XU (The Chinese University of Hong Kong)*; Sheng Jin (The University of Hong Kong); Wang ZENG (The Chinese University of Hong Kong); Wentao Liu (Sensetime); Chen Qian (SenseTime); Wanli Ouyang (The University of Sydney); Ping Luo (The University of Hong Kong); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong)	N/A	N/A
UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection	Wanyi Zhuang (University of Science and Technology of China); Qi Chu (University of Science and Technology of China)*; Zhentao Tan (University of Science and Technology of China); Qiankun Liu (University of Science and Technology of China); Haojie Yuan (University of Science and Technology of China); Changtao Miao (University of Science and Technology of China); Zixiang Luo (University of Science and Technology of China); Nenghai Yu (University of Science and Technology of China)	N/A	N/A
PREF: Predictability Regularized Neural Motion Fields	Liangchen Song (University at Buffalo)*; Xuan Gong (University at Buffalo); Benjamin Planche (United Imaging Intelligence); Meng Zheng (United Imaging Intelligence); David Doermann (University at Buffalo); Junsong Yuan (“State University of New York at Buffalo, USA”); Terrence Chen (United Imaging Intelligence); Ziyan Wu (United Imaging Intelligence)	N/A	N/A
Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation	WENCAN CHENG (Sungkyunkwan University); Jong Hwan Ko (Sungkyunkwan University)*	N/A	N/A
Bayesian Tracking of Video Graphs Using Joint Kalman Smoothing and Registration	Aditi Basu Bal (Florida State University)*; Ramy A Mounir (University of South Florida); Sathyanarayanan N Aakur (OK State); Sudeep Sarkar (University of South Florida, Tampa); Anuj Srivastava (Florida State University)	N/A	N/A
Semidefinite Relaxations of Truncated Least-Squares in Robust Rotation Search: Tight or Not	Liangzu Peng (Johns Hopkins University)*; Mahyar Fazlyab (Johns Hopkins University); Rene Vidal (Johns Hopkins University, USA)	N/A	N/A
Lottery Ticket Hypothesis for Spiking Neural Networks	Youngeun Kim (Yale University)*; Yuhang Li (Yale University); Hyoungseob Park (Yale University); Yeshwanth Venkatesha (Yale university); Ruokai Yin (Yale University); Priyadarshini Panda (Yale University)	N/A	N/A
Multi-domain Learning for Updating Face Anti-spoofing Models	Xiao Guo (Michigan State University)*; Yaojie Liu (Google Research); Anil Jain (Michigan State University); Xiaoming Liu (Michigan State University)	N/A	N/A
Towards Realistic Semi-Supervised Learning	Mamshad Nayeem Rizve (University of Central Florida)*; Navid Kardan (University of Central Florida); Mubarak Shah (University of Central Florida)	N/A	N/A
Unsupervised Pose-aware Part Decomposition for Man-made Articulated Objects	Yuki Kawana (The University of Tokyo)*; Yusuke Mukuta (The University of Tokyo); Tatsuya Harada (The University of Tokyo / RIKEN)	N/A	N/A
Cartoon Explanations of Image Classifiers	Stefan Kolek (LMU)*; Duc Anh Nguyen (LMU Munich); Ron Levie (Technion); Joan Bruna (Courant Institute of Mathematical Sciences, NYU, USA); Gitta Kutyniok (Ludwig Maximilian University of Munich)	N/A	N/A
RRSR:Reciprocal Reference-based Image Super-Resolution with Progressive Feature Alignment and Selection	Lin Zhang (CASIA); Xin Li (Baidu); Dongliang He (Baidu)*; Fu Li (Baidu); Yili Wang (Tsinghua University); Zhaoxiang Zhang (Chinese Academy of Sciences, China)	N/A	N/A
Gaussian Activated Neural Radiance Fields for High Fidelity Reconstruction & Pose Estimation	Shin-Fang Chng (The University of Adelaide)*; Sameera Ramasinghe (University of Adelaide); Jamie Sherrah (AIML); Simon Lucey (University of Adelaide)	N/A	N/A
Unbiased Gradient Estimation for Differentiable Surface Splatting via Poisson Sampling	Jan U. Müller (University of Bonn)*; Michael Weinmann (TU Delft); Reinhard Klein (University of Bonn)	N/A	N/A
“This is my unicorn, Fluffy”: Personalizing frozen vision-language representations	Niv Cohen (The Hebrew University of Jerusalem)*; Rinon Gal (Tel Aviv University); Eli Meirom (NVIDIA Research); Gal Chechik (NVIDIA); Yuval Atzmon (NVIDIA Research)	N/A	N/A
Paper Title	Authors	N/A	N/A
Learning Uncoupled-Modulation CVAE for 3D Action-Conditioned Human Motion Synthesis	Chongyang Zhong (Institute of Computing Technology, Chinese Academy of Sciences)*; Lei Hu (Institute of Computing Technology, Chinese Academy of Sciences ); Zihao Zhang (Institute of Computing Technology, Chinese Academy of Sciences); Shihong Xia (institute of computing technology of the Chinese academy of sciences)	N/A	N/A
Generative Domain Adaptation for Face Anti-Spoofing	Qianyu Zhou (Shanghai Jiao Tong University)*; Ke-Yue Zhang (YouTu Lab, Tencent); Taiping Yao (Tencent YouTu); Ran Yi (Shanghai Jiao Tong University); Kekai Sheng (Youtu Lab, Tencent Inc.); Shouhong Ding (Tencent); Lizhuang Ma (Shanghai Jiao Tong University)	N/A	N/A
Learning Depth from Focus in the Wild	Changyeon Won (GIST)*; Hae-Gon Jeon (GIST)	N/A	N/A
Relighting4D: Neural Relightable Human from Videos	Zhaoxi Chen (Nanyang Technological University )*; Ziwei Liu (Nanyang Technological University)	N/A	N/A
PPT: token-Pruned Pose Transformer for monocular and multi-view human pose estimation	Haoyu Ma (University of California, Irvine)*; Zhe Wang (UC-Irvine); Yifei Chen (Tencent); Deying Kong (university of california, irvine); Liangjian Chen (Reality Labs); Xingwei Liu (University of California Irvine); Xiangyi Yan (University of California, Irvine); Hao Tang (University of California Irvine); Xiaohui Xie (University of California, Irvine)	N/A	N/A
Understanding the Dynamics of DNNs Using Graph Modularity	Yao Lu (Zhejiang University of Technology)*; Wen Yang (Zhejiang University of Technology); Yunzhe Zhang (Zhejiang University of Technology); Zuohui Chen (Zhejiang University of Technology); Jinyin Chen (Zhejiang University of Technology); Qi Xuan (Zhejiang University of Technology); Zhen Wang (Northwestern Polytechnical University); Xiaoniu Yang (Zhejiang University of Technology; Science and Technology on Communication Information Security Control Laboratory)	N/A	N/A
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective	Quan Cui (Waseda University)*; Bingchen Zhao (University of Edinburgh); Zhao-Min Chen (NanJing University); Borui Zhao (Megvii Technology); Renjie Song (Megvii Inc.); Boyan Zhou (ByteDance); Jiajun Liang (Megvii); Osamu Yoshie (Waseda University)	N/A	N/A
Learning-based Point Cloud Registration for 6D Object Pose Estimation in the Real World	Zheng Dang (EPFL)*; Lizhou Wang (Xi’an Jiaotong University); Yu Guo (School of Software Engineering, Xi’an Jiaotong University); Mathieu Salzmann (EPFL)	N/A	N/A
AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing	Jiaxi Jiang (ETH Zurich)*; Paul Streli (ETH Zurich); Huajian Qiu (EPFL); Andreas R Fender (ETH Zurich); Larissa Laich (Facebook Reality Labs); Patrick Snape (Meta); Christian Holz (ETH Zürich)	N/A	N/A
Knowledge Condensation Distillation	chenxin li (Xiamen University)*; Mingbao Lin (Xiamen University, China); Zhiyuan Ding (Xiamen University); Nie Lin (Hunan University); Yihong Zhuang (Xiamen University); Yue Huang (Xiamen University); Xinghao Ding (Xiamen University); Liujuan Cao (Xiamen University)	N/A	N/A
CAR: Class-aware Regularizations for Semantic Segmentation	Ye Huang (University of Technology Sydney)*; Di Kang (Tencent); Liang Chen (Fujian Normal University); Xuefei Zhe (Tencent AI lab); Wenjing Jia (University of Technology Sydney); Linchao Bao (Tencent AI Lab); Xiangjian He (University of Nottingham Ningbo China)	N/A	N/A
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation	Yuyang Zhao (National University of Singapore)*; Zhun Zhong (University of Trento); Na Zhao (NUS); Nicu Sebe (University of Trento); Gim Hee Lee (National University of Singapore)	N/A	N/A
Reducing Information Loss for Spiking Neural Networks	Yufei Guo (The Second Academy of China Aerospace Science and Industry Corporation)*; Yuanpei Chen (X LAB,The Second Academy of CASIC,Beijing); Liwen Zhang (X Lab, the Second Academy of CASIC, Beijing); YingLei Wang (CASIC); Xiaode Liu (X Lab, The Second Academy of China Aerospace Science and Industry Corporation); Xinyi Tong (The Second Academy of China Aerospace Science and Industry Corporation); Yuanyuan Ou (Chongqing University); Xuhui Huang (X Lab, The Second Academy of CASIC); Zhe Ma (Xlab, the Second Academy of CASIC, Beijing)	N/A	N/A
Real-Time Intermediate Flow Estimation for Video Frame Interpolation	Zhewei Huang (MEGVII)*; Tianyuan Zhang (Carnegie Mellon University); Wen Heng (Megvii inc.); Boxin Shi (Peking University); Shuchang Zhou (MEGVII Technology)	N/A	N/A
Class-incremental Novel Class Discovery	Subhankar Roy (University of Trento); Mingxuan Liu (University of Trento); Zhun Zhong (University of Trento)*; Nicu Sebe (University of Trento); Elisa Ricci (University of Trento)	N/A	N/A
PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation	Jing He (Xiamen university)*; Yiyi Zhou (Xiamen University); Qi Zhang (Tencent); Jun Peng (Xiamen University); Yunhang Shen (Xiamen University); Xiaoshuai Sun (Xiamen University); Chao Chen (Youtu Laboratory); Rongrong Ji (Xiamen University, China)	N/A	N/A
Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion	Weng Fei Low (National University of Singapore)*; Gim Hee Lee (National University of Singapore)	N/A	N/A
Contrastive Prototypical Network with Wasserstein Confidence Penalty	Haoqing Wang (Peking University)*; Zhi-Hong Deng (Peking University)	N/A	N/A
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain	Jiazhen Ji (Tencent)*; Huan Wang (Xiamen University); Yuge Huang (Tencent YouTu); Jiaxiang Wu (Tencent); Xingkun Xu (Tencent); Shouhong Ding (Tencent); ShengChuan Zhang (Xiamen University); Liujuan Cao (Xiamen University); Rongrong Ji (Xiamen University, China)	N/A	N/A
An End-to-End Transformer Model for Crowd Localization	Dingkang Liang (Huazhong University of Science and Technology)*; Wei Xu (Beijing University of Posts and Telecommunications); Xiang Bai (Huazhong University of Science and Technology)	N/A	N/A
Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection	Zehui Chen (University of Science and Technology of China); Zhenyu Li (Harbin Institute of Technology); Shiquan Zhang (SenseTime Research); Liangji Fang (Sensetime Research); Qinhong Jiang (SenseTime Research; Shanghai AI Laboratory); Feng Zhao (University of Science and Technology of China)*	N/A	N/A
Masked Generative Distillation	Zhendong Yang (Graduate school at ShenZhen，Tsinghua university)*; Zhe Li (Bytedance Inc.); Shao Mingqi (Graduate school at ShenZhen, Tsinghua university); Dachuan Shi (Graduate school at ShenZhen, Tsinghua University); Zehuan Yuan (Bytedance.Inc); Chun Yuan (Graduate school at ShenZhen，Tsinghua university)	N/A	N/A
Saliency Hierarchy Modeling via Generative Kernels for Salient Object Detection	Wenhu Zhang (Zhejiang University)*; Liangli Zheng (Zhejiang University); Huanyu Wang (Zhejiang University); Xintian Wu (Zhejiang University); Xi Li (Zhejiang University)	N/A	N/A
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification	Renrui Zhang (Shanghai AI Lab)*; Zhang Wei (Shanghai AI-Lab); Rongyao Fang (Chinese University of Hong Kong); Peng Gao (Chinese university of hong kong); Kunchang Li (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Jifeng Dai (SenseTime); Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Hongsheng Li (The Chinese University of Hong Kong)	N/A	N/A
Temporal Lift Pooling for Continuous Sign Language Recognition	Lianyu Hu (Tianjin University)*; Liqing Gao (College of Intelligence and Computing，Tianjin University); Zekang Liu (College of Intelligence and Computing, Tianjin University); Wei Feng (College of Intelligence and Computing, Tianjin University, China)	N/A	N/A
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes	Yang Jiao (Fudan University)*; Shaoxiang Chen (Fudan University); Zequn Jie (Meituan inc.); Jingjing Chen (Fudan University); Lin Ma (Meituan); Yu-Gang Jiang (Fudan University)	N/A	N/A
JPEG Artifacts Removal via Contrastive Representation Learning	Xi Wang (University of Science and Technology of China); Xueyang Fu (University of Science and Technology of China)*; Yurui Zhu (University of Science and Technology of China); Zheng-Jun Zha (University of Science and Technology of China)	N/A	N/A
Tackling Long-Tailed Category Distribution Under Domain Shifts	Xiao Gu (Imperial College London)*; Yao Guo (Shanghai Jiao Tong Univerisity); Zeju Li (Imperial College London); Jianing Qiu (Imperial College London); DOU QI (The Chinese University of Hong Kong); Yuxuan Liu (Institude of Medical Robotics, Shanghai Jiao Tong University); Benny P L Lo (Imperial College London); Guang-Zhong Yang (SJTU)	N/A	N/A
WeLSA: Learning To Predict 6D Pose From Weakly Labeled Data Using Shape Alignment	Shishir Reddy Vutukur (TU Munich / Siemens Technology)*; Ivan Shugurov (TU Munich / Siemens Corporate Technology); Benjamin Busam (Technical University of Munich); ANDREAS HUTTER (Siemens Corporate Technology, Germany); Slobodan Ilic (TUM)	N/A	N/A
Fine-grained Data Distribution Alignment for Post-Training Quantization	Yunshan Zhong (xiamen university)*; Mingbao Lin (Xiamen University, China); Mengzhao Chen (Xiamen University); Ke Li (Tencent); Yunhang Shen (Xiamen University); Fei Chao (Xiamen University); Yongjian Wu (Tencent Technology (Shanghai) Co.,Ltd); Rongrong Ji (Xiamen University, China)	N/A	N/A
Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network	Zhen Xing (Fudan University)*; Yijiang Chen (Fudan University); Zhixin Ling (Fudan University); Xiangdong Zhou (Fudan University); Yu Xiang (The University of Texas at Dallas)	N/A	N/A
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing	Daxuan Ren (Nanyang Technological University)*; Jianmin Zheng (Nanyang Technological University); Jianfei Cai (Monash University); jiatong j li (Sensetime); Junzhe Zhang (Nanyang Technological University)	N/A	N/A
P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation	Wenkang Shan (Peking University)*; Zhenhua Liu (Peking University); xinfeng zhang (University of Chinese Academy of Sciences); Shanshe Wang (Peking University); Siwei Ma (Peking University, China); Wen Gao (PKU)	N/A	N/A
Contrast-Phys: Unsupervised Video-based Remote Physiological Measurement via Spatiotemporal Contrast	Zhaodong Sun (University of Oulu)*; Xiaobai Li (University of Oulu)	N/A	N/A
Panoptic Scene Graph Generation	Jingkang Yang (Nanyang Technological University)*; Yi Zhe Ang (Nanyang Technological University); Zujin GUO (Nanyang Technological University); Kaiyang Zhou (Nanyang Technological University); Wayne Zhang (SenseTime Research); Ziwei Liu (Nanyang Technological University)	N/A	N/A
StyleSwap: Style-Based Generator Empowers Robust Face Swapping	Zhiliang Xu (Baidu Inc.); Hang Zhou (The Chinese University of Hong Kong)*; Zhibin Hong (Baidu Inc.); Ziwei Liu (Nanyang Technological University); Jiaming Liu (Baidu Inc.); zhizhi guo (Department of Computer Vision Technology (VIS), Baidu Inc); Junyu Han (Baidu Inc.); jingtuo liu (baidu); Errui Ding (Baidu Inc.); Jingdong Wang (Baidu)	N/A	N/A
Boosting Event Stream Super-Resolution with A Recurrent Neural Network	Wenming Weng (University of Science and Technology of China)*; Yueyi Zhang (University of Science and Technology of China); Zhiwei Xiong (University of Science and Technology of China)	N/A	N/A
Unknown-Oriented Learning for Open Set Domain Adaptation	jie liu (City University of Hong Kong)*; Xiaoqing Guo (City University of Hong Kong); Yixuan YUAN (City University of Hong Kong)	N/A	N/A
Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning	Xiang Chen (Nanjing University of Science and Technology)*; Zhentao Fan (Shenyang Aerospace University); Pengpeng Li (Dalian Polytechnic University); Longgang Dai (Shenyang Aerospace University); Caihua Kong (Shenyang Aerospace University); Zhuoran Zheng (Nanjing University of Science and Technology ); Yufeng Huang (Shenyang Aerospace University); Yufeng Li (Shenyang Aerospace University)	N/A	N/A
Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection	Ziwei Zhao (Peking University)*; Dong Wang (Peking University); Yihong Chen (Peking University); Ziteng Wang (Yizhun-ai); Liwei Wang (Peking University)	N/A	N/A
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning	yuehui han (njust)*; Le Hui (Nanjing University of Science and Technology); Haobo Jiang (Nanjing University of Science and Technology); Jianjun Qian (Nanjing University of Science and Technology); Jin Xie (Nanjing University of Science and Technology)	N/A	N/A
DVS-Voltmeter: Stochastic Process-based Event Simulator for Dynamic Vision Sensors	SongNan Lin (Nanyang Technological University)*; Ye Ma (McGill University); Zhenhua Guo (Aliababa Group); Bihan Wen (Nanyang Technological University)	N/A	N/A
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation	Hongbin Lin (South China University of Technology); Yifan Zhang (National University of Singapore); Zhen Qiu (South China University of Technology); Shuaicheng Niu (South China University of Technology); Chuang Gan (MIT-IBM Watson AI Lab); Yanxia Liu (South China University of Technology); Mingkui Tan (South China University of Technology)*	N/A	N/A
SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding	Mengxue Qu (Beijing Jiaotong University)*; Yu Wu (Princeton University); Wu Liu (AI Research of JD.com); Qiqi Gong (BeijingJiaotong University); Xiaodan Liang (Sun Yat-sen University); Olga Russakovsky (Princeton University); Yao Zhao (Beijing Jiaotong University); Yunchao Wei (UTS)	N/A	N/A
Benchmarking Omni-Vision Representation through the Lens of Visual Realms	Yuanhan Zhang (Nanyang Technological University); Zhenfei Yin (Sensetime); Jing Shao (Sensetime); Ziwei Liu (Nanyang Technological University)*	N/A	N/A
Paint2Pix: Interactive Painting based Progressive Image Synthesis and Editing	Jaskirat Singh (Australian National University)*; Liang Zheng (Australian National University); Cameron Y Smith (Adobe Research); Jose Echevarria (Adobe System Inc.)	N/A	N/A
BEAT: A Large-Scale Semantic and Emotional Multi-Modal Dataset for Conversational Gestures Synthesis	Haiyang Liu (The University of Tokyo)*; Zihao Zhu (Keio University); Naoya Iwamoto (Huawei Technologies Japan K.K.); Yichen Peng (Japan Advanced Institute of Science and Technology); Zhengqing Li (Huawei Japan K.K.); YOU ZHOU (Tokyo Research Center, Huawei); Elif Bozkurt (Huawei Turkey R&D Center, Istanbul, Turkey); Bo Zheng (Huawei)	N/A	N/A
Active Pointly-Supervised Instance Segmentation	Chufeng Tang (Tsinghua University)*; Lingxi Xie (Huawei Inc.); Gang Zhang (Tsinghua University); xiaopeng zhang (Huawei Cloud EI ); Qi Tian (Huawei Cloud & AI); Xiaolin Hu (Tsinghua University)	N/A	N/A
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation	Xin Lai (The Chinese University of Hong Kong)*; Zhuotao Tian (The Chinese University of Hong Kong); Xiaogang XU (The Chinese University of Hong Kong); Yingcong Chen (Hong Kong University of Science and Technology); Shu Liu (SmartMore); Hengshuang Zhao (University of Oxford); Liwei Wang (CUHK); Jiaya Jia (Chinese University of Hong Kong)	N/A	N/A
ByteTrack: Multi-Object Tracking by Associating Every Detection Box	Yifu Zhang (Huazhong University of Science and Technology); Peize Sun (The University of Hong Kong); Yi Jiang (Bytedance); Dongdong Yu (ByteDance Inc.); Fucheng Weng (Huazhong University of Science and Technology); Zehuan Yuan (Bytedance.Inc); Ping Luo (The University of Hong Kong); Wenyu Liu (Huazhong University of Science and Technology); Xinggang Wang (Huazhong University of Science and Technology)*	N/A	N/A
Robust Multi-Object Tracking by Marginal Inference	Yifu Zhang (Huazhong University of Science and Technology); Chunyu Wang (Microsoft Research asia); Xinggang Wang (Huazhong University of Science and Technology)*; Wenjun Zeng (EIT Institute for Advanced Study); Wenyu Liu (Huazhong University of Science and Technology)	N/A	N/A
Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation	Li Gao (Wuhan University)*; Dong Nie (UNC); Bo Li (Alibaba Group); Xiaofeng Ren (alibaba group)	N/A	N/A
CATRE: Iterative Point Clouds Alignment for Category-level Object Pose Refinement	Xingyu Liu (Tsinghua University); Gu Wang (JD.COM); Yi Li (University of Washington); Xiangyang Ji (Tsinghua University)*	N/A	N/A
Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition	Wangmeng Xiang (The Hong Kong Polytechnic University)*; Chao Li (Alibaba); Biao Wang (Alibaba); Xihan Wei (Alibaba); Xian-Sheng Hua (Damo Academy, Alibaba Group); Lei Zhang (“Hong Kong Polytechnic University, Hong Kong, China”)	N/A	N/A
Efficient Long-Range Attention Network for Image Super-resolution	Xindong Zhang (The Hong Kong Polytechnic University)*; Hui Zeng (OPPO); Shi Guo (The Hong Kong Polytechnic University); Lei Zhang (“Hong Kong Polytechnic University, Hong Kong, China”)	N/A	N/A
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection	Liang Peng (ZJU)*; Xiaopei Wu (ZhejiangUniversity); Zheng Yang (FABU); Haifeng Liu (ZJU); Deng Cai (ZJU)	N/A	N/A
FlowFormer: A Transformer Architecture for Optical Flow	Zhaoyang Huang (Chinese University of HongKong)*; Xiaoyu Shi (CUHK); Chao Zhang (Samsung Telecommunication Research Institute); Qiang Wang (Samsung Research China, Beijing); Ka Chun Cheung (Nvidia); Hongwei Qin (Sensetime); Jifeng Dai (SenseTime); Hongsheng Li (The Chinese University of Hong Kong)	N/A	N/A
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction	Yuanhao Cai (Tsinghua Univisity, Tsinghua Shenzhen International Graduate School); Jing Lin (Tsinghua Univisity, Tsinghua Shenzhen International Graduate School)*; Xiaowan Hu (Tsinghua Univisity, Tsinghua Shenzhen International Graduate School); Haoqian Wang (Tsinghua Shenzhen International Graduate School, Tsinghua University); Xin Yuan (Westlake University); Yulun Zhang (ETH Zurich); Radu Timofte (University of Wurzburg & ETH Zurich); Luc Van Gool (ETH Zurich)	N/A	N/A
An Embedded Feature Whitening Approach to Deep Neural Network Optimization	Hongwei Yong (The Hong Kong Polytechnic University)*; Lei Zhang (“Hong Kong Polytechnic University, Hong Kong, China”)	N/A	N/A
Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation	Jingyu Gong (Shanghai Jiao Tong University)*; Fengqi Liu (Shanghai Jiao Tong University); Jiachen Xu (Shanghai Jiao Tong University); Min Wang (Sensetime Group); Xin Tan (Shanghai Jiao Tong University); Zhizhong Zhang (East China Normal University); Ran Yi (Shanghai Jiao Tong University); Haichuan Song (East China Normal University); Yuan Xie (East China Normal University); Lizhuang Ma (Shanghai Jiao Tong University)	N/A	N/A
Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-supervised Exploration for Face Anti-Spoofing	Yuchen Liu (Shanghai Jiao Tong university)*; Yabo Chen (Shanghai Jiao Tong University ); Wenrui Dai (Shanghai Jiao Tong University); Mengran Gou (Qualcomm); Chun-Ting Huang (Qualcomm); Hongkai Xiong (Shanghai Jiao Tong University)	N/A	N/A
MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection	Xuesong Chen (The Chinese University of Hong Kong)*; Shaoshuai Shi (MPI Informatics); Benjin Zhu (MEGVII); Ka Chun Cheung (Nvidia); Hang Xu (Huawei Noah’s Ark Lab); Hongsheng Li (The Chinese University of Hong Kong)	N/A	N/A
SdAE: Self-distillated Masked Autoencoder	Yabo Chen (Shanghai Jiao Tong University ); Yuchen Liu (Shanghai Jiao Tong university); Dongsheng Jiang (Huawei Cloud & AI); xiaopeng zhang (Huawei Cloud EI )*; Wenrui Dai (Shanghai Jiao Tong University); Hongkai Xiong (Shanghai Jiao Tong University); Qi Tian (Huawei Cloud & AI)	N/A	N/A
A Transformer-based Decoder for Semantic Segmentation with Multi-level Context Mining	Bowen Shi (Shanghai Jiao Tong University)*; Dongsheng Jiang (Huawei Cloud & AI); xiaopeng zhang (Huawei Cloud EI ); Han Li (Shanghai Jiao Tong University); Wenrui Dai (Shanghai Jiao Tong University); Junni Zou (Shanghai Jiao Tong University); Hongkai Xiong (Shanghai Jiao Tong University); Qi Tian (Huawei Cloud & AI)	N/A	N/A
Graph-constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation	Simon Reiß (Karlsruhe Institute of Technology)*; Constantin Marc Seibold (Karlsruhe Institute of Technology); Alexander Freytag (Carl Zeiss AG, Jena, Germany); Rodner Erik (University of Applied Sciences Berlin); Rainer Stiefelhagen (Karlsruhe Institute of Technology)	N/A	N/A
Improving Vision Transformers by Revisiting High-frequency Components	Jiawang Bai (Tsinghua University)*; Li Yuan (Peking University); Shu-Tao Xia (Tsinghua University); Shuicheng Yan (Sea AI Labs); Zhifeng Li (Tencent AI Lab); Wei Liu (Tencent)	N/A	N/A
Adaptive Co-Teaching for Unsupervised Monocular Depth Estimation	Weisong Ren (Dalian University of Technology); Lijun Wang (Dalian University of Technology)*; Yongri Piao (Dalian University of Technology); Miao Zhang (Dalian University of Technology); Huchuan Lu (Dalian University of Technology); Ting Liu (Alibaba)	N/A	N/A
FurryGAN: High quality foreground-aware image synthesis	Jeongmin Bae (Yonsei University); Mingi Kwon (Yonsei University); Youngjung Uh (Yonsei University)*	N/A	N/A
An Efficient Spatio-Temporal Pyramid Transformer for Action Detection	Yuetian Weng (Monash University); Zizheng Pan (Monash University); Mingfei Han (Monash University; DATA61, CSIRO); Xiaojun Chang (University of Technology Sydney); Bohan Zhuang (Monash University)*	N/A	N/A
LocVTP: Video-Text Pre-training for Temporal Localization	Meng Cao (Peking University); Tianyu Yang (Tencent AI Lab); Junwu Weng (Tencent AI Lab); Can Zhang (Peking University); Jue Wang (Tencent AI Lab); Yuexian Zou (Peking University)*	N/A	N/A
Fusing Local Similarities for Retrieval-based 3D Orientation Estimation of Unseen Objects	Chen Zhao (EPFL)*; Yinlin Hu (EPFL); Mathieu Salzmann (EPFL)	N/A	N/A
Online Segmentation of LiDAR Sequences: Dataset and Algorithm	Romain Loiseau (École des ponts ParisTech)*; Mathieu Aubry (École des ponts ParisTech); loic landrieu (IGN)	N/A	N/A
MVSTER: Epipolar Transformer for Efficient Multi-View Stereo	Xiaofeng Wang (Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences)*; Zheng Zhu (Tsinghua University); Guan Huang (Institute of Automation, Chinese Academy of Sciences); Fangbo Qin (Institute of Automation, Chinese Academy of Sciences); Yun Ye (XForwardAI Technology Co., Ltd, Beijing, China); Yijia He (Beijing Kuaishou Technology Co., Ltd); Xu Chi (Phigent Robotics); Xingang Wang (Institute of Automation, CAS)	N/A	N/A
Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction	Haocheng Yuan (Northwestern Polytechnical University); Chen Zhao (EPFL); Shichao Fan (Northwestern Polytechnical University); Jiaxi Jiang (Northwestern Polytechnical University); Jiaqi Yang (Northwestern Polytechnical University)*	N/A	N/A
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration	Ziqi Zhou (Nanjing University)*; Lei Qi (Southeast University); Yinghuan Shi (Nanjing University)	N/A	N/A
Demystifying Unsupervised Semantic Correspondence Estimation	Mehmet Aygün (The University of Edinburgh)*; Oisin Mac Aodha (University of Edinburgh)	N/A	N/A
Learning Shadow Correspondence for Video Shadow Detection	Xinpeng Ding (The Hong Kong University of Science and Technology); Jingwen Yang (The Hong Kong University of Science and Technology); Xiaowei Hu (Shanghai AI Laboratory); Xiaomeng Li (The Hong Kong University of Science and Technology)*	N/A	N/A
PolarMOT: How far can geometric relations take us in 3D multi-object tracking?	Aleksandr Kim (Technical University of Munich); Guillem Brasó (TUM); Aljosa Osep (TUM Munich)*; Laura Leal-Taixé (TUM)	N/A	N/A
Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding across Heads	Jiawei Ma (Columbia University)*; Guangxing Han (Columbia University); Shiyuan Huang (Columbia University); Yuncong Yang (Columbia University); Shih-Fu Chang (Columbia University)	N/A	N/A
MVDECOR: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation	Gopal Sharma (University of Massachusetts Amherst)*; Kangxue Yin (NVIDIA); Subhransu Maji (University of Massachusetts, Amherst); Evangelos Kalogerakis (UMass Amherst); Or Litany (NVIDIA); Sanja Fidler (University of Toronto, NVIDIA)	N/A	N/A
Implicit Neural Representations for Image Compression	Yannick Strümpler (ETH Zürich)*; Janis Postels (ETH Zurich); Ren Yang (ETH Zurich); Luc Van Gool (ETH Zurich); Federico Tombari (Google, TU Munich)	N/A	N/A
Cross-modal Prototype Driven Network for Radiology Report Generation	Jun Wang (University of Warwick)*; Abhir Bhalerao (University of Warwick); Yulan He (University of Warwick)	N/A	N/A
Scene Text Recognition with Permuted Autoregressive Sequence Models	Darwin Bautista (University of the Philippines)*; Rowel Atienza (University of the Philippines)	N/A	N/A
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model	Ho Kei Cheng (University of Illinois Urbana-Champaign)*; Alexander Schwing (UIUC)	N/A	N/A
SUPR: A Sparse Unified Part-Based Human Body Model	Ahmed A A Osman (Max Planck Institute for Intelligent Systems)*; Michael J. Black (Max Planck Institute for Intelligent Systems); Timo Bolkart (Max Planck Institute for Intelligent Systems); Dimitrios Tzionas (University of Amsterdam)	N/A	N/A
SCAM! Transferring humans between images with Semantic Cross Attention Modulation	Nicolas Dufour (ENPC)*; David Picard (ENPC); Vicky Kalogeiton (Ecole Polytechnique)	N/A	N/A
Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization	Alp Yurtsever (Umeå University); Tolga Birdal (TU Munich)*; Vladislav Golyanik (MPI for Informatics)	N/A	N/A
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach	Rolandos Alexandros Potamias (Imperial College London)*; Giorgos Bouritsas (Imperial College London); Stefanos Zafeiriou (Imperial College London)	N/A	N/A
Neural Architecture Search for Spiking Neural Networks	Youngeun Kim (Yale University)*; Yuhang Li (Yale University); Hyoungseob Park (Yale University); Yeshwanth Venkatesha (Yale university); Priyadarshini Panda (Yale University)	N/A	N/A
Neuromorphic Data Augmentation for Training Spiking Neural Networks	Yuhang Li (Yale University)*; Youngeun Kim (Yale University); Hyoungseob Park (Yale University); Tamar Geller (Yale University); Priyadarshini Panda (Yale University)	N/A	N/A
RelPose: Predicting Probabilistic Relative Rotation for Single Objects in the Wild	Jason Y Zhang (Carnegie Mellon University)*; Deva Ramanan (Carnegie Mellon University); Shubham Tulsiani (Carnegie Mellon University)	N/A	N/A
Human Trajectory Prediction via Neural Social Physics	Jiangbei Yue (Leeds University); Dinesh Manocha (University of Maryland at College Park)*; He Wang (Leeds University)	N/A	N/A
Explicit Occlusion Reasoning for Multi-person 3D Human Pose Estimation	Qihao Liu (Johns Hopkins University); Yi Zhang (Johns Hopkins University); Song Bai (University of Oxford); Alan Yuille (Johns Hopkins University)*	N/A	N/A
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis	Huan Wang (Northeastern University); Jian Ren (Snap Inc.); Zeng Huang (Snap Inc.)*; Kyle B Olszewski (Snap Inc.); Menglei Chai (Snap Inc.); YUN FU (Northeastern University); Sergey Tulyakov (Snap Inc)	N/A	N/A
Towards Open Set Video Anomaly Detection	Yuansheng Zhu (Rochester Institute of Technology)*; Wentao Bao (Rochester Institute of Technology); Qi Yu (Rochester Institute of Technology)	N/A	N/A
Object-Compositional Neural Implicit Surfaces	Qianyi Wu (Monash University)*; Xian Liu (The Chinese University of Hong Kong); Yuedong Chen (Monash University); Kejie Li (University of Oxford); Chuanxia Zheng (Monash University); Jianfei Cai (Monash University); Jianmin Zheng (Nanyang Technological University)	N/A	N/A
Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields	Yuedong Chen (Monash University)*; Qianyi Wu (Monash University); Chuanxia Zheng (Monash University); Tat-Jen Cham (Nanyang Technological University); Jianfei Cai (Monash University)	N/A	N/A
WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation	Mengping Yang (East China University of Science and Technology)*; Zhe Wang ( East China University of Science and Technology ); Ziqiu Chi (East China University Of Science and Technology); Wenyi Feng (east China university of science and technology)	N/A	N/A
Class-Agnostic Object Counting Robust to Intraclass Diversity	Shenjian Gong (Nanjing University of Science and Technology)*; Shanshan Zhang (Nanjing University of Science and Technology); Jian Yang (Nanjing University of Science and Technology); Dengxin Dai (MPI for Informatics ); Bernt Schiele (MPI Informatics)	N/A	N/A
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts	Chuan Guo (University of Alberta)*; Xinxin Zuo (University of Alberta); Sen Wang (University of Alberta); Li Cheng (ECE dept., University of Alberta)	N/A	N/A
Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving	Jiale Li (Zhejiang University); Hang Dai (Mohamed bin Zayed University of Artificial Intelligence)*; Yong Ding (Zhejiang University)	N/A	N/A
Semi-Supervised Monocular 3D Object Detection by Multi-View Consistency	Qing Lian (Hong Kong University of Science and Technology )*; Yanbo XU (The Hong Kong University of Science and Technology); Weilong Yao (Shanghai Xiantu Intelligent Technology Co., Ltd.); Yingcong Chen (Hong Kong University of Science and Technology); Tong Zhang (Hong Kong University of Science and Technology)	N/A	N/A
Lidar Point Cloud Guided Monocular 3D Object Detection	Liang Peng (ZJU)*; Fei Liu (Zhejiang University); Zhengxu Yu (Zhejiang University); Senbo Yan (Zhejiang University); Dan Deng (FABU); Zheng Yang (FABU); Haifeng Liu (ZJU); Deng Cai (ZJU)	N/A	N/A
Structural Causal 3D Reconstruction	Weiyang Liu (University of Cambridge)*; Zhen Liu (Mila, University of Montreal); Liam Paull (Université de Montréal); Adrian Weller (University of Cambridge); Bernhard Schölkopf (MPI for Intelligent Systems, Tübingen)	N/A	N/A
KD-MVS: Knowledge Distillation Based Self-supervised Learning for Multi-view Stereo	Yikang Ding (Tsinghua University)*; Qingtian Zhu (Peking University); Xiangyue Liu (Beihang University); Wentao Yuan (Peking Universtiy); Haotian Zhang (Megvii); Chi Zhang (Megvii Inc.)	N/A	N/A
When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition	Bohan Li (Huazhong University of Science and Technology)*; Ye Yuan (Tomorrow Advancing Life); Dingkang Liang (Huazhong University of Science and Technology); Xiao Liu (Tencent); zhilong ji (Tomorrow Advancing Life); Jinfeng Bai (TAL); Wenyu Liu (Huazhong University of Science and Technology); Xiang Bai (Huazhong University of Science and Technology)	N/A	N/A
Shape Matters: Deformable Patch Attack	Zhaoyu Chen (Fudan University); Bo Li (Nanjing University)*; Shuang Wu (Tencent); Jianghe Xu (Tencent Youtu Lab); Shouhong Ding (Tencent); Wenqiang Zhang (Fudan University)	N/A	N/A
PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection	Han Wang (Shanghai Jiao Tong University)*; Jun Tang (hikvision); Xiaodong Liu (Hikvision); Shanyan Guan (Shanghai Jiao Tong University); Rong Xie (Shanghai Jiao Tong University); Li Song (Shanghai Jiao Tong University)	N/A	N/A
BEVFormer: Learning Bird-Eye-View Representations from Multi-View Images via Spatiotemporal Transformer	Zhiqi Li (Nanjing University); Wenhai Wang (Nanjing University); Hongyang Li (SenseTime); Enze Xie (The University of Hong Kong); Chonghao Sima (Purdue University); Tong Lu (Nanjing University); Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Jifeng Dai (SenseTime)*	N/A	N/A
Detecting Tampered Scene Text in the Wild	YuXin Wang (University of Science and Technology of China)*; Hongtao Xie (University of Science and Technology of China); Mengting Xing (University of Science and Technology of China); Jing Wang (Huawei Cloud & AI); Shenggao Zhu (Huawei); Yongdong Zhang (University of Science and Technology of China)	N/A	N/A
Projective Parallel Single-pixel Imaging to Overcome Global Illumination in 3D Structure Light Scanning	Yuxi Li (Beihang University)*; Huijie Zhao (Beihang University); Hongzhi Jiang (Beihang University); Xudong Li (Beihang University)	N/A	N/A
CelebV-HQ: A Large-Scale Video Facial Attributes Dataset	Hao Zhu (SenseTime Research)*; Wayne Wu (SenseTime Research); Wentao Zhu (Peking University); Liming Jiang (Nanyang Technological University); Siwei Tang (Sensetime research); Li Zhang (Sensetime); Ziwei Liu (Nanyang Technological University); Chen Change Loy (Nanyang Technological University)	N/A	N/A
Open-world Semantic Segmentation for LIDAR Point Clouds	Jun CEN (The Hong Kong University of Science and Technology)*; Peng YUN (Hong Kong University of Science and Technology); Shiwei Zhang (DAMO Academy, Alibaba Group); Junhao CAI (HKUST); Di LUAN (Hong Kong University of Science and Technology); Mingqian Tang (Alibaba Group); Michael Yu Wang (HKUST); Ming Liu (HKUST)	N/A	N/A
Burn After Reading: Online Adaptation for Cross-domain Streaming Data	Luyu Yang (University of Maryland, College Park)*; Mingfei Gao (Apple); Zeyuan Chen (Salesforce Research); Ran Xu (Salesforce Research); Abhinav Shrivastava (University of Maryland); Chetan Ramaiah (Salesforce Research)	N/A	N/A
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS	Zixuan Zhou (Tsinghua University)*; Xuefei Ning (Tsinghua University); Yi Cai (Tsinghua University); Jiashu Han (None); Yiping Deng (Huawei); Yuhan Dong (Tsinghua University); Huazhong Yang (Tsinghua University); Yu Wang (Tsinghua University)	N/A	N/A
RigNet: Repetitive Image Guided Network for Depth Completion	Zhiqiang Yan (Nanjing University of Science and Tenchnology)*; Kun Wang (Nanjing University of Science and Technology); Xiang Li (Nanjing University of Science and Technology); Zhenyu Zhang (Tencent); Jun Li (Nanjing University of Science and Technology); Jian Yang (Nanjing University of Science and Technology)	N/A	N/A
Streamable Neural Fields	Junwoo Cho (Sungkyunkwan University)*; Seungtae Nam (Sungkyunkwan University); Daniel Rho (Sungkyunkwan University); Jong Hwan Ko (Sungkyunkwan University); Eunbyung Park (Sungkyunkwan University)	N/A	N/A
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds	Xu Yan (The Chinese University of Hong Kong, Shenzhen); Jiantao Gao (Shanghai University); Chaoda Zheng (The Chinese University of Hong Kong, Shen Zhen); chao zheng (Tencent); Ruimao Zhang (The Chinese University of Hong Kong, Shenzhen); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen ); Zhen Li (The Chinese University of Hong Kong, Shenzhen)*	N/A	N/A
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification	Yang Liu (Beihang University); Lei Zhou (Beihang University)*; Pengcheng Zhang (Beihang University); Xiao Bai (Beihang University); Lin Gu (RIKEN，AIP / The University of Tokyo); Xiaohan Yu (Griffith University); Jun Zhou (Griffith University); Hancock Edwin (“University of York, UK”)	N/A	N/A
Mind the Gap in Distilling StyleGANs	Guodong Xu (The Chinese University of Hong Kong)*; Yuenan HOU (Shanghai AI Lab); Ziwei Liu (Nanyang Technological University); Chen Change Loy (Nanyang Technological University)	N/A	N/A
End-to-End Active Speaker Detection	Juan C Leon (KAUST)*; Moritz Cordes (Leuphana University of Lüneburg); Chen Zhao (KAUST); Bernard Ghanem (KAUST)	N/A	N/A
Joint-Modal Label Denoising for Weakly-Supervised Audio-Visual Video Parsing	Haoyue Cheng (Nanjing University); Zhaoyang Liu (SenseTime Research); Hang Zhou (The Chinese University of Hong Kong); Chen Qian (SenseTime); Wayne Wu (SenseTime Research); Limin Wang (Nanjing University)*	N/A	N/A
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition	Xinyi Zou (Xiamen University); Yan Yan (Xiamen University)*; Jing-Hao Xue (University College London); Si Chen (Xiamen University of Technology); Hanzi Wang (Xiamen University)	N/A	N/A
Learning with Recoverable Forgetting	Jingwen Ye (National University of Singapore)*; Fu Yifang (National University of Singapore); Jie Song (Zhejiang University); Xingyi Yang (National University of Singapore); Songhua Liu (National University of Singapore); Xin Jin (University of Science and Technology of China); Mingli Song (Zhejiang University); Xinchao Wang (National University of Singapore)	N/A	N/A
Masked Autoencoders for Point Cloud Self-supervised Learning	Yatian Pang (National University of Singapore); Wenxiao Wang (State Key Lab of CAD&CG, Zhejiang University); Francis EH Tay (National University of Singapore); Wei Liu (Tencent); Yonghong Tian (Peking University); Li Yuan (Peking University)*	N/A	N/A
RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer	Jianfeng Xiang (ShenZhen University)*; Junliang Chen (Shenzhen University); Wenshuang Liu (Shenzhen University); Xianxu Hou (Shenzhen University); Linlin Shen (Shenzhen University)	N/A	N/A
Efficient One Pass Self-distillation with Zipf’s Label Smoothing	Jiajun Liang (Megvii)*; Linze Li (MEGVII Technology); Zhaodong Bing (Megvii Technology); Borui Zhao (Megvii Technology); Yao Tang (Peking University); Bo Lin (MEGVII Technology); Haoqiang Fan (Megvii Inc（face++）)	N/A	N/A
DaViT: Dual Attention Vision Transformers	Mingyu Ding (The University of Hong Kong)*; Bin Xiao (Microsoft); Noel C Codella (Microsoft); Ping Luo (The University of Hong Kong); Jingdong Wang (Baidu); Lu Yuan (Microsoft)	N/A	N/A
OneFace: One Threshold for All	Jiaheng Liu (Beihang University); zhipeng yu (University of Chinese Academy of Sciences); Haoyu Qin (SenseTime); Yichao Wu (Sensetime Group Limited); Ding Liang (Sensetime Group Limited); Gangming Zhao (The University of Hong Kong); Ke Xu (Beihang University)*	N/A	N/A
Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization	Yunpeng Bai (Tsinghua University )*; Chao Dong (SIAT); Zenghao Chai (Tsinghua University); Andong Wang (Tsinghua University); Zhengzhuo Xu (Tsinghua University); Chun Yuan (Graduate school at ShenZhen，Tsinghua university)	N/A	N/A
Vibration-based Uncertainty Estimation for Learning from Limited Supervision	Hengtong Hu (Hefei University of Technology)*; Lingxi Xie (Huawei Inc.); Xinyue Huo (University of Science and Technology of China); Richang Hong (HeFei University of Technology); Qi Tian (Huawei Cloud & AI)	N/A	N/A
SOS! Self-supervised Learning Over Sets Of Handled Objects In Egocentric Action Recognition	Victor A Escorcia (Samsung AI Center)*; Ricardo Guerrero (Samsung AI Center Cambridge); Xiatian Zhu (Samsung AI Centre); Brais Martinez (Samsung AI Center)	N/A	N/A
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic Upsampling	Hao Lu (Huazhong University of Science and Technology); Wenze Liu (Huazhong university of science and technology); Hongtao Fu (Huazhong university of Science and Technology); Zhiguo Cao (Huazhong Univ. of Sci.&Tech.)*	N/A	N/A
VTC: Improving Video-Text Retrieval with User Comments	Laura Hanu (Unitary)*; James Thewlis (Unitary); Yuki M Asano (University of Amsterdam); Christian Rupprecht (University of Oxford)	N/A	N/A
Less than Few: Self-Shot Video Instance Segmentation	Pengwan Yang (University of Amsterdam)*; Yuki M Asano (University of Amsterdam); Pascal Mettes (University of Amsterdam); Cees Snoek (University of Amsterdam)	N/A	N/A
End-to-End Visual Editing with a Generatively Pre-Trained Artist	Andrew Brown (University of Oxford)*; Cheng-Yang Fu (Facebook.com); Omkar M Parkhi (Facebook); Tamara Berg (Facebook AI Research); Andrea Vedaldi (University of Oxford / Facebook AI Research)	N/A	N/A
COUCH: Towards Controllable Human-chair Interactions	Xiaohan Zhang (University of Tübingen, MPI Informatics); Bharat Lal Bhatnagar (University of Tübingen, MPI informatik); Sebastian Starke (University of Edinburgh); Vladimir Guzov (University of Tuebingen); Gerard Pons-Moll (University of Tübingen)*	N/A	N/A
MovieCuts: A New Dataset and Benchmark forCut Type Recognition	Alejandro Pardo (KAUST)*; Fabian Caba (Adobe Research); Juan C Leon (KAUST); Ali K Thabet (Facebook); Bernard Ghanem (KAUST)	N/A	N/A
High-fidelity GAN Inversion with Padding Space	Qingyan Bai (Tsinghua University)*; Yinghao Xu (Chinese University of Hong Kong); Jiapeng Zhu (HKUST); Weihao Xia (University College London); Yujiu Yang (Tsinghua University); Yujun Shen (Dept. of IE, CUHK)	N/A	N/A
LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation	ZEYU HU (Hong Kong University of Science and Technology)*; Xuyang Bai (HKUST); Runze Zhang (Tencent); Xin Wang (Tencent); Guangyuan Sun (TENCENT); Hongbo Fu (City University of Hong Kong); Chiew-Lan Tai (Hong Kong University of Science & Technology)	N/A	N/A
Optimal Boxes: Boosting End-to-End Scene Text Recognition by Adjusting Annotated Bounding Boxes via Reinforcement Learning	Jingqun Tang (Ant Group)*; wenming qian (Huazhong University of Science and Technology); Luchuan Song (University of Science and Technology of China); Xiena Dong (Hangzhou Dianzi Universiy); lan li (Whu Han University); Xiang Bai (Huazhong University of Science and Technology)	N/A	N/A
Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation	Jogendra Nath Kundu (Indian Institute of Science)*; Suvaansh Bhambri (Indian Institute of Science); Akshay R Kulkarni (Indian Institute of Science); Hiran Sarkar (Indian Institute of Science); Varun Jampani (Google); Venkatesh Babu RADHAKRISHNAN (Indian Institute of Science)	N/A	N/A
Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping	Chao Xu (Zhejiang University)*; Jiangning Zhang (Zhejiang University); Yue Han (Zhejiang University); Guanzhong Tian (Ningbo Research Institute, Zhejiang University); xianfang zeng (Zhejiang University); Ying Tai (Tencent YouTu); Yabiao Wang (Tencent); Chengjie Wang (Tencent; Shanghai Jiao Tong University); Yong Liu (Zhejiang University)	N/A	N/A
Category-Level 6D Object Pose and Size Estimation using Self-Supervised Deep Prior Deformation Networks	Jiehong Lin (South China University of Technology)*; Zewei Wei (South China University of Technology); Changxing Ding (South China University of Technology); Kui Jia (South China University of Technology)	N/A	N/A
Intrinsic Neural Fields: Learning Functions on Manifolds	Lukas Koestler (Technical University of Munich)*; Daniel Grittner (Technische Universität München); Michael Moeller (University of Siegen); Daniel Cremers (TU Munich); Zorah Laehner (University of Siegen)	N/A	N/A
LaMAR: Benchmarking Localization and Mapping for Augmented Reality	Paul-Edouard Sarlin (ETH Zurich); Mihai Dusmanu (ETH Zurich)*; Johannes L Schönberger (Microsoft); Pablo Speciale (Microsoft); Lukas Gruber (Microsoft); Viktor Larsson (Lund University); Ondrej Miksik (Microsoft); Marc Pollefeys (ETH Zurich / Microsoft)	N/A	N/A
3D Compositional Zero-shot Learning with DeCompositional Consensus	Muhammad Ferjad Naeem (ETH Zürich)*; Evin Pınar Örnek (TU Munich); Yongqin Xian (ETH Zurich); Luc Van Gool (ETH Zurich); Federico Tombari (Google, TU Munich)	N/A	N/A
Video Mask Transfiner for High-Quality Video Instance Segmentation	Lei Ke (HKUST)*; Henghui Ding (ETH Zurich); Martin Danelljan (ETH Zurich); Yu-Wing Tai (Kuaishou Technology / HKUST); Chi-Keung Tang (Hong Kong University of Science and Technology); Fisher Yu (ETH Zurich)	N/A	N/A
FashionViL: Fashion-Focused Vision-and-Language Representation Learning	Xiao Han (University of Surrey)*; Licheng Yu (Facebook); Xiatian Zhu (University of Surrey); Li Zhang (Fudan University); Yi-Zhe Song (University of Surrey); Tao Xiang (University of Surrey)	N/A	N/A
Adaptive Face Forgery Detection in Cross Domain	Luchuan Song (University of Science and Technology of China)*; Zheng Fang (BeihangUniversity); Xiaodan Li (Alibaba Group); Xiaoyi Dong (University of Science and Technology of China); Zhenchao Jin (University of Science and Technology of China); Yuefeng Chen (Alibaba Group); Siwei Lyu (University at Buffalo)	N/A	N/A
LiP-Flow: Learning Inference-time Priors for Codec Avatars via Normalizing Flows in Latent Space	Emre Aksan (ETH Zurich)*; Shugao Ma (Facebook); Akin Caliskan (Center for Vision Speech and Signal Processing – University of Surrey); Stanislav Pidhorskyi (Facebook Inc.); Alexander Richard (Facebook Reality Labs); Shih-En Wei (Facebook); Jason Saragih (Facebook); Otmar Hilliges (ETH Zurich)	N/A	N/A
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection	Hongyu Zhou (Megvii)*; Songtao Liu (MEGVII); Zeming Li (Megvii(Face++) Inc); Jian Sun (Megvii Technology); Weixin Mao (waseda university); Zheng Ge (MEGVII Technology); haiyan yu (Harbin Institute of Technology)	N/A	N/A
Metric Learning based Interactive Modulation for Real-World Super-Resolution	Chong Mou (Peking University Shenzhen Graduate School)*; Yanze Wu (Tencent); Xintao Wang (Tencent); Chao Dong (SIAT); Jian Zhang (Peking University Shenzhen Graduate School); Ying Shan (Tencent)	N/A	N/A
Optimal Transport for Label-Efficient Visible-Infrared Person Re-Identification	Jiangming Wang (East China Normal University); Zhizhong Zhang (East China Normal University); Mingang Chen (Shanghai Development Center of Computer Software Technology); yi zhang (zhejianglab); Cong Wang (Huawei Technologies); Bin Sheng (Shanghai Jiao Tong University); Yanyun Qu (XMU); Yuan Xie (East China Normal University)*	N/A	N/A
Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning	Sauradip Nag (University of Surrey)*; Xiatian Zhu (University of Surrey); Yi-Zhe Song (University of Surrey); Tao Xiang (University of Surrey)	N/A	N/A
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives	Wentao Yuan (Peking Universtiy)*; Qingtian Zhu (Peking University); Xiangyue Liu (Beihang University); Yikang Ding (Tsinghua University); Haotian Zhang (Megvii); Chi Zhang (Megvii Inc.)	N/A	N/A
Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression	Yeying Jin (National University of Singapore)*; Wenhan Yang (NTU); Robby T. Tan (National University of Singapore)	N/A	N/A
Point-to-Box Network for Accurate Object Detection via Single Point Supervision	Pengfei Chen (University of Chinese Academy of Sciences); Xuehui Yu (University of Chinese Academy of Sciences); Xumeng Han (University of Chinese Academy of Sciences); Najmul Hassan (University of Oregon); Kai Wang (U of Oregon); Jiachen Li (UIUC); Jian Zhao (Institute of North Electronic Equipment); Humphrey Shi (U of Oregon	UIUC	PAIR); Zhenjun Han (University of Chinese Academy of Sciences)*; Qixiang Ye (University of Chinese Academy of Sciences, China)
Dynamic Dual Trainable Bounds for Ultra-low Precision Super-Resolution Networks	Yunshan Zhong (xiamen university)*; Mingbao Lin (Xiamen University, China); xunchao li (Xiamen University); Ke Li (Tencent); Yunhang Shen (Xiamen University); Fei Chao (Xiamen University); Yongjian Wu (Tencent Technology (Shanghai) Co.,Ltd); Rongrong Ji (Xiamen University, China)	N/A	N/A
Locality Guidance for Improving Vision Transformers on Tiny Datasets	Kehan Li (Peking University); Runyi Yu (Peking University); Zhennan Wang (Peng Cheng Laboratory); Li Yuan (Peking University); Guoli Song (Peng Cheng Laboratory); Jie Chen (Peking University)*	N/A	N/A
Weakly Supervised Object Localization through Inter-class Feature Similarity and Intra-class Appearance Consistency	Jun Wei (The Chinese University of Hong Kong, Shenzhen); Sheng Wang (Shanghai Zelixir Biotech); S. Kevin Zhou (USTC); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen ); Zhen Li (The Chinese University of Hong Kong, Shenzhen)*	N/A	N/A
Semi-Supervised Temporal Action Detection with Proposal-Free Masking	Sauradip Nag (University of Surrey)*; Xiatian Zhu (University of Surrey); Yi-Zhe Song (University of Surrey); Tao Xiang (University of Surrey)	N/A	N/A
Neighborhood Collective Estimation for Noisy Label Identification and Correction	Jichang Li (The University of Hong Kong)*; Guanbin Li (Sun Yat-sen University); Feng Liu (Deepwise AI Lab); Yizhou Yu (The University of Hong Kong)	N/A	N/A
Zero-Shot Temporal Action Detection via Vision-Language Prompting	Sauradip Nag (University of Surrey)*; Xiatian Zhu (University of Surrey); Yi-Zhe Song (University of Surrey); Tao Xiang (University of Surrey)	N/A	N/A
Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval	Pandeng Li (University of Science and Technology of China)*; Hongtao Xie (University of Science and Technology of China); Jiannan Ge (University of Science and Technology of China); Lei Zhang (Kuaishou); Shaobo Min (tencent); Yongdong Zhang (University of Science and Technology of China)	N/A	N/A
Discover and Mitigate Unknown Biases with Debiasing Alternate Networks	Zhiheng Li (University of Rochester)*; Anthony Hoogs (Kitware); Chenliang Xu (University of Rochester)	N/A	N/A
Hierarchical Memory Learning for Fine-Grained Scene Graph Generation	Youming Deng (Wuhan University); Yansheng Li (Wuhan University)*; Yongjun Zhang (Wuhan University); Xiang Xiang (Huazhong University of Science and Technology); Jian Wang (Ant Group); Jingdong Chen (Ant Group); Jiayi Ma (Wuhan University)	N/A	N/A
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes	Sungha Choi (Qualcomm AI Research)*; Seunghan Yang (Qualcomm AI Research); Seokeon Choi (Qualcomm AI research); Sungrack Yun (Qualcomm AI Research)	N/A	N/A
Automatic dense annotation of large-vocabulary sign language videos	Liliane Momeni (University of Oxford)*; Hannah Bull (LIMSI (CNRS)); Prajwal K R (VGG, Oxford); Samuel Albanie (University of Cambridge); Gul Varol (Ecole des Ponts ParisTech); Andrew Zisserman (University of Oxford)	N/A	N/A
Few-shot Class-incremental Learning via Entropy-regularized Data-free Replay	Huan Liu (McMaster University)*; Li Gu (Huawei Canada); Zhixiang Chi (Huawei Noah’s Ark Laboratory); Yuanhao Yu (Huawei Noah’s Ark Laboratory); Yang Wang (Concordia University); Jun Chen (McMaster University); Jin Tang ( Huawei Noah’s Ark Laboratory)	N/A	N/A
Learning Instance-Specific Adaptation for Cross-Domain Segmentation	Yuliang Zou (Virginia Tech)*; Zizhao Zhang (Google); Chun-Liang Li (Google); Han Zhang (Google); Tomas Pfister (Google); Jia-Bin Huang (Facebook )	N/A	N/A
SALVe: Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas	John W Lambert (Georgia Institute of Technology)*; Yuguang Li (Zillow Group); Ivaylo Boyadzhiev (Zillow Group); Lambert Wixson (Zillow Group); Manjunath Narayana (Zillow group); Will A Hutchcroft (Zillow Group); James Hays (Georgia Institute of Technology, USA); Frank Dellaert (Georgia Tech); Sing Bing Kang (Zillow Group)	N/A	N/A
Active Learning Strategies for Weakly-Supervised Object Detection	Huy V. Vo (Ecole Normale Supérieure – INRIA – Valeo.ai)*; Oriane Siméoni (valeo.ai); Spyros Gidaris (valeo.ai); Andrei Bursuc (valeo.ai); Patrick Pérez (Valeo.ai); Jean Ponce (Inria)	N/A	N/A
3D Human Pose Estimation Using Möbius Graph Convolutional Networks	Niloofar Azizi (ICG department of TU Graz)*; Horst Possegger (Graz University of Technology); Emanuele Rodola (Sapienza University of Rome); Horst Bischof (Graz University of Technology)	N/A	N/A
Real-time Online Video Detection with Temporal Smoothing Transformers	Yue Zhao (University of Texas at Austin)*; Philipp Kraehenbuehl (UT Austin)	N/A	N/A
3D-FM GAN: Towards 3D-Controllable Face Manipulation	Yuchen Liu (Princeton University)*; Zhixin Shu (Adobe Research); Yijun Li (Adobe Research); Zhe Lin (Adobe Research); Richard Zhang (Adobe); Sun-Yuan Kung (Princeton University)	N/A	N/A
SinNeRF: Training Neural Radiance Field on Complex Scene from a Single Image	Dejia Xu (University of Texas at Austin)*; Yifan Jiang (University of Texas at Austin); Peihao Wang (University of Texas at Austin); Zhiwen Fan (University of Texas at Austin); Humphrey Shi (U of Oregon	UIUC	PAIR); Zhangyang Wang (University of Texas at Austin)
Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation	Guangcong Zheng (Zhejiang University); Shengming Li (Zhejiang University); Hui Wang (Zhejiang University); Taiping Yao (Tencent YouTu); Yang Chen (Tencent); Shouhong Ding (Tencent); Xi Li (Zhejiang University)*	N/A	N/A
Identity-aware Hand Mesh Estimation and Personalization from RGB Images	Deying Kong (university of california, irvine)*; Linguang Zhang (Facebook Reality Labs); Liangjian Chen (Reality Labs); Haoyu Ma (University of California, Irvine); Xiangyi Yan (University of California, Irvine); shanlin sun (University of California, Irvine); Xingwei Liu (University of California Irvine); Kun Han (University of California Irvine); Xiaohui Xie (University of California, Irvine)	N/A	N/A
TALLFormer: Temporal Action Localization with a Long-memory Transformer	Feng Cheng (University of North Carolina ch); Gedas Bertasius (UNC Chapel Hill)*	N/A	N/A
Unsupervised and Semi-supervised Bias Benchmarking in Face Recognition	Siqi Deng (Amazon)*; Alexandra Chouldechova (CMU); Yongxin Wang (Amazon); Wei Xia (Amazon); Pietro Perona (California Institute of Technology)	N/A	N/A
Domain Adaptive Hand Keypoint and Pixel Localization in the Wild	Takehiko Ohkawa (The University of Tokyo)*; Yu-Jhe Li (Carnegie Mellon University); Qichen Fu (Carnegie Mellon University); Ryosuke Furuta (The University of Tokyo); Kris Kitani (Carnegie Mellon University); Yoichi Sato (University of Tokyo)	N/A	N/A
Skeleton-free Pose Transfer for Stylized 3D Characters	Zhouyingcheng Liao (Saarland University)*; Jimei Yang (Adobe); Jun Saito (Adobe); Gerard Pons-Moll (University of Tübingen); Yang Zhou (Adobe Research)	N/A	N/A
Differentiable Raycasting for Self-supervised Occupancy Forecasting	Tarasha Khurana (Carnegie Mellon University)*; Peiyun Hu (Carnegie Mellon University); Achal D Dave (Amazon); Jason P Ziglar (Argo AI); David Held (); Deva Ramanan (Carnegie Mellon University)	N/A	N/A
InAction: Interpretable Action Decision Making for Autonomous Driving	Taotao Jing (Tulane University)*; Haifeng Xia (Tulane University); Renran Tian (Indiana University-Purdue University Indianapolis); Haoran Ding (IUPUI); Xiao Luo (IUPUI); Joshua E Domeyer (Toyota Motor North America); Rini Sherony (Toyota CSRC); Zhengming Ding (Tulane University)	N/A	N/A
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection	Jyh-Jing Hwang (Waymo)*; Henrik Kretzschmar (Waymo); Joshua M Manela (Waymo); Sean Rafferty (Waymo); Nicholas Armstrong-Crews (Waymo); Tiffany Chen (Waymo); Dragomir Anguelov (Waymo)	N/A	N/A
CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video	Wei Lin (Graz University of Technology)*; Anna Kukleva (MPII); Kunyang Sun (Southeast University); Horst Possegger (Graz University of Technology); Hilde Kuehne (University of Frankfurt); Horst Bischof (Graz University of Technology)	N/A	N/A
Latent Discriminant deterministic Uncertainty	Gianni Franchi (ENSTA Paris)*; Xuanlong Yu (ENSTA Paris); Andrei Bursuc (valeo.ai); Emanuel Aldea (Paris-Saclay University); Severine Dubuisson (Aix-Marseille University); David Filliat (ENSTA Paris)	N/A	N/A
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation	Pengfei Guo (Johns Hopkins University)*; Dong Yang (NVIDIA Corporation); Ali Hatamizadeh (NVIDIA Corporation); An Xu (University of Pittsburgh); Ziyue Xu (NVIDIA); Wenqi Li (NVIDIA); Can Zhao (Nvidia); Daguang Xu (NVIDIA Corporation); Stephanie Anne Harmon (National Cancer Institute); Evrim Turkbey (NIH); Baris Turkbey (National Cancer Institute); Bradford J Wood (National Institutes of Health); Francesca Patella (ASST Santi Paolo e Carlo); Elvira Stellato (University of Milan); Gianpaolo Carrafiello (University of Milan); Vishal Patel (Johns Hopkins University); Holger R Roth (NVIDIA)	N/A	N/A
Image-based CLIP-Guided Essence Transfer	Hila Chefer (Tel Aviv University)*; Sagie Benaim (University of Copenhagen); Roni Paiss (Tel Aviv University, Google); Lior Wolf (Tel Aviv University, Israel)	N/A	N/A
Prune Your Model Before Distill It	JinHyuk Park (Hongik University); Albert No (Hongik University)*	N/A	N/A
S2N: Suppression-Strengthen Network for Event-based Recognition under Variant Illuminations	zengyu wan (University of Science and Technology of China)*; Yang Wang (University of Science and Technology of China); Ganchao Tan (University of Science and Technology of China); Yang Cao (University of Science and Technology of China); Zheng-Jun Zha (University of Science and Technology of China)	N/A	N/A
MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval	Yuying Ge (The University of Hong Kong)*; Yixiao Ge (Tencent); Xihui Liu (UC Berkeley); Jinpeng Wang (National University of Singapore); Jianping Wu (Tsinghua University); Ying Shan (Tencent); Xiaohu Qie (Tencent); Ping Luo (The University of Hong Kong)	N/A	N/A
PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification	Kuan Zhu (Institute of Automation, Chinese Academy of Sciences)*; Haiyun Guo (CASIA); Tianyi Yan (Institute of Automation,Chinese Academy of Sciences;School of Artificial Intelligence, University of Chinese Academy Sciences); Yousong Zhu (Institute of Automation, Chinese Academy of Sciences); Jinqiao Wang (Institute of Automation, Chinese Academy of Sciences); Ming Tang (Institute of Automation, Chinese Academy of Sciences)	N/A	N/A
RegionCL: Exploring Contrastive Region Pairs for Self-supervised Representation Learning	YUFEI XU (University of sydney)*; Qiming Zhang (The University of Sydney); Jing Zhang (The University of Sydney); Dacheng Tao (JD.com)	N/A	N/A
Towards Data-Efficient Detection Transformers	Wen Wang (University of Science and Technology of China)*; Jing Zhang (The University of Sydney); Yang Cao (University of Science and Technology of China); Yongliang Shen (Zhejiang University); Dacheng Tao (JD.com)	N/A	N/A
Label2Label: A Language Modeling Framework for Multi-Attribute Learning	Wanhua Li (Tsinghua University); Zhexuan Cao (Tsinghua University); Jianjiang Feng (Tsinghua University); Jie Zhou (Tsinghua University); Jiwen Lu (Tsinghua University)*	N/A	N/A
Anti-Retroactive Interference for Lifelong Learning	Runqi Wang (Beihang University); Yuxiang Bao (Beihang University); Baochang Zhang (Beihang University)*; Jianzhuang Liu (Huawei Noah’s Ark Lab); Wentao Zhu (Amazon); Guodong Guo (IDL, Baidu Research)	N/A	N/A
Emotion Recognition for Multiple Context Awareness	Dingkang Yang (Fudan University); shuai huang (Fudan university); Shunli Wang (Fudan University); Yang Liu (Fudan University); Peng Zhai (Fudan university); Liuzhen Su (Fudan University); Mingcheng Li (Fudan University); Lihua Zhang (Fudan University)*	N/A	N/A
Box-supervised Instance Segmentation with Level Set Evolution	Wentong Li (Zhejiang University ); Wenyu Liu (Zhejiang University); Jianke Zhu (Zhejiang University)*; Miaomiao Cui (Alibaba-inc); Xian-Sheng Hua (Damo Academy, Alibaba Group); Lei Zhang (“Hong Kong Polytechnic University, Hong Kong, China”)	N/A	N/A
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training	Xiaotong Li (Peking University)*; Yixiao Ge (Tencent); Kun Yi (Nanjing University); Zixuan Hu (Peking University); Ying Shan (Tencent); Lingyu Duan (Peking University)	N/A	N/A
Adaptive Cross-Domain Learning for Generalizable Person Re-Identification	Pengyi Zhang (Zhejiang University)*; Huanzhang Dou (Zhejiang University); Yunlong Yu (Zhejiang University); Xi Li (Zhejiang University)	N/A	N/A
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition	Huanzhang Dou (Zhejiang University)*; Pengyi Zhang (Zhejiang University); Wei Su (Zhejiang University); Yunlong Yu (Zhejiang University); Xi Li (Zhejiang University)	N/A	N/A
Bootstrapped Masked Autoencoders for Vision BERT Pretraining	Xiaoyi Dong (University of Science and Technology of China)*; Jianmin Bao (Microsoft Research Asia); Ting Zhang (MSRA); Dongdong Chen (Microsoft Cloud AI); Weiming Zhang (University of Science and Technology of China); Lu Yuan (Microsoft); Dong Chen (Microsoft Research Asia); Fang Wen (Microsoft Research Asia ); Nenghai Yu (University of Science and Technology of China)	N/A	N/A
Masked Discrimination for Self-Supervised Learning on Point Clouds	Haotian Liu (University of Wisconsin-Madison)*; Mu Cai (University of Wisconsin-Madison); Yong Jae Lee (University of Wisconsin-Madison)	N/A	N/A
GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval	Yuxuan Wang (National University of Singapore); Difei Gao (NUS); Licheng Yu (Facebook); Stan Weixian Lei (National University of Singapore); Matt Feiszli (Facebook Research); Mike Zheng Shou (National University of Singapore)*	N/A	N/A
FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling	Haoning Wu (Nanyang Technological University)*; Chaofeng Chen (Nanyang Technological University); Jingwen Hou (Nanyang Technological University); Liang Liao (Nanyang Technological University); Annan Wang (Nanyang Technological University); Wenxiu Sun (SenseTime Research and Tetras.AI); Qiong Yan (SenseTime Group Limited); Weisi Lin (Nanyang Technological University, Singapore)	N/A	N/A
Learning to train a point cloud reconstruction network without matching	Tianxin Huang (Zhejiang University)*; Xuemeng Yang (Zhejiang University); Jiangning Zhang (Zhejiang University); Jinhao Cui (Zhejiang Unversity); Hao Zou (Zhejiang University); Jun Chen (Zhejiang University); Xiangrui Zhao (Zhejiang University); Yong Liu (Zhejiang University)	N/A	N/A
Long-Tailed Class Incremental Learning	Xialei Liu (Nankai University)*; Yusong Hu (Nankai University); Xu-Sheng Cao (Nankai University); Andy Bagdanov (University of Florence, Italy); Ke Li (Tencent); Ming-Ming Cheng (Nankai University)	N/A	N/A
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving	Kaican Li (Huawei Noah’s Ark Lab)*; Kai Chen (HKUST); Haoyu Wang (Purdue University); Lanqing Hong (Huawei Noah’s Ark Lab); Chaoqiang Ye (Huawei); Jianhua Han (Huawei Noah’s Ark Lab); Yukuai Chen (Huawei Intelligent Automotive Solution BU); Wei Zhang ( Noah’s Ark Lab, Huawei Technologies); Chunjing Xu (Huawei Noah’s Ark Lab); Dit-Yan Yeung (HKUST); Xiaodan Liang (Sun Yat-sen University); Zhenguo Li (Huawei Noah’s Ark Lab); Hang Xu (Huawei Noah’s Ark Lab)	N/A	N/A
CMT: Context-Matching-Guided Transformer for 3D Tracking in Point Clouds	Zhiyang Guo (University of Science and Technology of China)*; Yunyao Mao (University of Science and Technology of China); Wengang Zhou (University of Science and Technology of China); Min Wang (Institute of Artificial Intelligence, Hefei Comprehensive National Science Center); Houqiang Li (University of Science and Technology of China)	N/A	N/A
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving	Mahyar Najibi (Waymo LLC); Jingwei Ji (Waymo); Yin Zhou (Waymo)*; Charles R. Qi (Waymo); Xinchen Yan (Waymo); Scott Ettinger (Waymo); Dragomir Anguelov (Waymo)	N/A	N/A
Unitail: Detecting, Reading, and Matching in Retail Scene	Fangyi Chen (Carnegie Mellon University)*; Han Zhang (CMU); zaiwang li (pitt); Jiachen Dou (Carnegie Mellon University); Shentong Mo (Carnegie Mellon University); Hao Chen (Carnegie Mellon University); Yong-Xin Zhang (Tsinghua University); Uzair Ahmed (Carnegie Mellon University); Chenchen Zhu (Meta AI); Marios Savvides (Carnegie Mellon University)	N/A	N/A
DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation	Runyu Ding (The University of Hong Kong)*; Jihan Yang (The University of Hong Kong); Li Jiang (Max Planck Institute for Informatics); Xiaojuan Qi (The University of Hong Kong)	N/A	N/A
Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining	Qihang Zhang (Chinese University of Hong Kong); Zhenghao Peng (Chinese University of Hong Kong); Bolei Zhou (UCLA)*	N/A	N/A
Multi-Curve Translator for High-Resolution Photorealistic Image Translation	Yuda Song (Zhejiang University); Hui Qian (Zhejiang University); Xin Du (Zhejiang University)*	N/A	N/A
Dynamic Metric Learning with Cross-Level Concept Distillation	Wenzhao Zheng (Tsinghua University)*; Yuanhui Huang (Tsinghua University); Borui Zhang (Tsinghua University); Jie Zhou (Tsinghua University); Jiwen Lu (Tsinghua University)	N/A	N/A
Deep Bayesian Video Frame Interpolation	Zhiyang Yu (Harbin Institute of Technology)*; Yu Zhang (Beihang University); Xujie Xiang (Beihang University); Dongqing Zou (SenseTime Research；Qing Yuan Research Institute, Shanghai Jiao Tong University); Xijun Chen (Harbin Institute of Technology); Jimmy Ren (SenseTime Research;Qing Yuan Research Institute, Shanghai Jiao Tong University)	N/A	N/A
PanoFormer: Panorama Transformer for Indoor 360° Depth Estimation	Zhijie Shen (Beijing Jiaotong University); Chunyu Lin (Beijing Jiaotong University)*; Kang Liao (Beijing Jiaotong University); Lang Nie (Beijing Jiaotong University); Zishuo Zheng (Beijing Jiaotong University); Yao Zhao (Beijing Jiaotong University)	N/A	N/A
Cross Attention Based Style Distribution for Controllable Person Image Synthesis	Xinyue Zhou (East China Normal University ); Mingyu Yin (East China Normal University); Xinyuan Chen (Shanghai AI Laboratory); Li Sun (East China Normal University)*; Changxin Gao (Huazhong University of Science and Technology); Qingli Li (East China Normal University)	N/A	N/A
Generative Meta-Adversarial Network for Unseen Object Navigation	Sixian Zhang (ICT, China Academy of Science)*; Weijie Li (ICT, China Academy of Sciences); Xinhang Song (ICT); Yubing Bai (ICT,China Academy of Science); Shuqiang Jiang (ICT, China Academy of Science)	N/A	N/A
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping	Bo Pang (Shanghai Jiao Tong University)*; Yifan Zhang (Shanghai Jiao Tong University); Yaoyi Li (Huawei); Jia Cai (Huawei); Cewu Lu (Shanghai Jiao Tong University)	N/A	N/A
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers	Jialun Pei (Huazhong University of Science and Technology); Tianyang Cheng (Huazhong University of Science and Technology); Deng-Ping Fan (ETH Zurich)*; He Tang (Huazhong University of Science and Technology); Chuanbo Chen (Huazhong University of Science and Technology); Luc Van Gool (ETH Zürich)	N/A	N/A
Highly Accurate Dichotomous Image Segmentation	Xuebin Qin (University of Alberta); Hang Dai (Mohamed bin Zayed University of Artificial Intelligence); Xiaobin Hu (Technische Universität München); Deng-Ping Fan (ETH Zurich)*; Ling Shao (Terminus Group); Luc Van Gool (ETH Zurich)	N/A	N/A
KeypointNeRF: Generalizing Image-based Volumetric Avatars using Relative Spatial Encoding of Keypoints	Marko Mihajlovic (ETH Zurich)*; Aayush Bansal (Carnegie Mellon University); Michael Zollhöfer (Facebook Reality Labs); Siyu Tang (ETH Zurich); Shunsuke Saito (Facebook)	N/A	N/A
MENet: a Memory-Based Network with Dual-Branch for Efficient Event Stream Processing	Linhui Sun (CASIA)*; Yifan Zhang (Institute of Automation, Chinese Academy of Sciences); Ke Cheng (Institute of Automation, Chinese Academy of Sciences); Jian Cheng (“Chinese Academy of Sciences, China”); Hanqing Lu (NLPR, Institute of Automation, CAS)	N/A	N/A
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals	Simon Vandenhende (KU Leuven)*; Dhruv Mahajan (Facebook); Filip Radenovic (Facebook AI); Deepti Ghadiyaram (Facebook)	N/A	N/A
LEDNet: Joint Low-light Enhancement and Deblurring in the Dark	Shangchen Zhou (Nanyang Technological University)*; Chongyi Li ( Nanyang Technological University); Chen Change Loy (Nanyang Technological University)	N/A	N/A
RC-MVSNet: Unsupervised Multi-View Stereo with Neural Rendering	Di Chang (Technical University of Munich)*; Aljaz Bozic (Technical University Munich); Tong Zhang (EPFL); Qingsong Yan (hong kong university of science and technology); Yingcong Chen (Hong Kong University of Science and Technology); Sabine Süsstrunk (EPFL); Matthias Niessner (Technical University of Munich)	N/A	N/A
StretchBEV: Stretching Future Instance Prediction Spatially and Temporally	Kaan Adil Akan (Koc University); Fatma Guney (Koc University)*	N/A	N/A
AgeTransGAN for Facial Age Transformation with Rectified Performance Metrics	Gee-Sern Hsu (National Taiwan University of Science and Technology)*; Rui-Cang Xie ( National Taiwan University of Science and Technology); Zhi-Ting Chen (National Taiwan University of Science and Technology); Yu-Hong Lin (National Taiwan University of Science and Technology)	N/A	N/A
Boosting Supervised Dehazing Methods via Bi-level Patch Reweighting	Xingyu Jiang (beihang ); Hongkun Dou (Beihang University); Chengwei Fu (beihang); Bingquan Dai (Beihang); Tianrun Xu (North China University of Technology); Yue Deng (Samsung Research America)*	N/A	N/A
Detecting and Recovering Sequential DeepFake Manipulation	Rui Shao (Nanyang Technological University)*; Tianxing Wu (Nanyang Technological University); Ziwei Liu (Nanyang Technological University)	N/A	N/A
MTFormer: Multi-Task Learning via Transformer and Cross-Task Reasoning	Xiaogang XU (The Chinese University of Hong Kong)*; Hengshuang Zhao (University of Oxford); Vibhav Vineet (Microsoft Research); Ser-Nam Lim (Meta AI); Antonio Torralba (MIT)	N/A	N/A
Prediction-Guided Distillation for Dense Object Detection	Chenhongyi Yang (University of Edinburgh)*; Mateusz Ochal (Heriot Watt University); Amos Storkey (U Edinburgh); Elliot J Crowley (University of Edinburgh)	N/A	N/A
Towards Generic 3D Tracking in RGBD Videos: Benchmark and Baseline	Jinyu Yang (Southern University of Science and Technology)*; Zhongqun Zhang (University of Birmingham); Zhe LI (SUSTech); Hyung Jin Chang (University of Birmingham); Ales Leonardis (University of Birmingham); Feng Zheng (SUSTech)	N/A	N/A
C3P: Cross-domain Pose Prior Propagation for Weakly Supervised 3D Human Pose Estimation	cunlin wu (Huazhong University of Science and Technology); Yang Xiao (Huazhong Univ. of Sci.&Tech.); Boshen Zhang (Tencent); Mingyang Zhang (Huazhong Univ. of Sci.&Tech); Zhiguo Cao (Huazhong Univ. of Sci.&Tech.); Joey Tianyi Zhou (ASTAR Centre for Frontier AI Research (CFAR) )	N/A	N/A
Adaptive Fine-Grained Sketch-Based Image Retrieval	Ayan Kumar Bhunia (University of Surrey)*; Aneeshan Sain (University of Surrey); Parth Hiren Shah (Indian Institute of Technology Guwahati); Animesh Gupta (Thapar University); Pinaki Nath Chowdhury (University of Surrey); Tao Xiang (University of Surrey); Yi-Zhe Song (University of Surrey)	N/A	N/A
Learning Ego 3D Representation as Ray Tracing	Jiachen Lu (Fudan University); Zheyuan Zhou (Fudan University); Xiatian Zhu (University of Surrey); Hang Xu (Huawei Noah’s Ark Lab); Li Zhang (Fudan University)*	N/A	N/A
Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling	Hengyuan Ma (Fudan University); Li Zhang (Fudan University)*; Xiatian Zhu (University of Surrey); Jianfeng Feng (Fudan University)	N/A	N/A
RCLane: Relay Chain Prediction for Lane Detection	Shenghua Xu (Fudan University); Xinyue Cai (Huawei Noah’s Ark Lab); Bin Zhao (Fudan University); Li Zhang (Fudan University)*; Hang Xu (Huawei Noah’s Ark Lab); Yanwei Fu (Fudan University); Xiangyang Xue (Fudan University)	N/A	N/A
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding	Hao Wen (Tsinghua University); Yunze Liu (Tsinghua University)*; Jingwei Huang (Huawei); Bo Duan (Huawei); Li Yi (Tsinghua University)	N/A	N/A
Towards Efficient Adversarial Training on Vision Transformers	Boxi Wu (Zhejiang University)*; Jindong Gu (University of Munich); Zhifeng Li (Tencent AI Lab); Deng Cai (ZJU); Xiaofei He (Zhejiang University); Wei Liu (Tencent)	N/A	N/A
Adaptive Agent Transformer for Few-shot Segmentation	Yuan Wang (University of Science and Technology of China)*; Rui Sun (University of Science and Technology of China); Zhe Zhang (Lunar Exploration and Space Engineering Center of CNSA); Tianzhu Zhang (University of Science and Technology of China)	N/A	N/A
Improving Few-Shot Part Segmentation using Coarse Supervision	Oindrila Saha (University of Massachusetts Amherst)*; Zezhou Cheng (University of Massachusetts, Amherst); Subhransu Maji (University of Massachusetts, Amherst)	N/A	N/A
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation	Guolei Sun (ETH Zurich); Yun Liu (ETH Zurich)*; Hao Tang (ETH Zurich); Ajad Chhatkuli (ETH Zurich); Le Zhang (University of Electronic Science and Technology of China); Luc Van Gool (ETH Zurich)	N/A	N/A
Out-of-distribution Detection with Boundary Aware Learning	Sen Pei (Institute of Automation, Chinese Academy of Sciences)*; Xin Zhang (Institute of Automation, Chinese Academy of Sciences, University of Chinese Academy of Sciences); Bin Fan (University of Science and Technology Beijing); Gaofeng Meng (Chinese Academy of Sciences)	N/A	N/A
NeILF: Neural Incident Light Field for Physically-based Material Estimation	Yao Yao (Apple Inc.); Jingyang Zhang (The Hong Kong University of Science and Technology)*; Jingbo Liu (Apple Inc.); Yihang Qu (Apple Inc.); Tian Fang (Apple); David N McKinnon (Apple); Yanghai Tsin (Apple Inc); Long Quan (Apple)	N/A	N/A
ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers	Jonáš Kulhánek (Czech Technical University in Prague)*; Erik Derner (CTU CIIRC); Torsten Sattler (Czech Technical University in Prague); Robert Babuska (TU Delft)	N/A	N/A
L-Tracing: Fast Light Visibility Estimation on Neural Surfaces by Sphere Tracing	Ziyu Chen (Shanghai Jiao Tong University)*; Chenjing Ding (Sensetime Group Limited); Jianfei Guo (Shanghai AI Laboratory); Dongliang Wang (SenseTime Group Limited); Yikang Li (Shanghai AI Lab); Xuan Xiao (SenseTime Group Limited); Wei Wu (SenseTime Group Limited); Li Song (Shanghai Jiao Tong University)	N/A	N/A
ARF: Artistic Radiance fields	Kai Zhang (Cornell University)*; Nicholas I Kolkin (Adobe Research); Sai Bi (Adobe Research); Fujun Luan (Adobe Research); Zexiang Xu (Adobe Research); Eli Shechtman (Adobe Research, US); Noah Snavely (Cornell University and Google AI)	N/A	N/A
Multiview Stereo with Cascaded Epipolar RAFT	Zeyu Ma (Princeton University)*; Zachary Teed (Princeton University); Jia Deng (Princeton University)	N/A	N/A
What to Hide from Your Students: Attention-Guided Masked Image Modeling	Ioannis Kakogeorgiou (National Technical University of Athens)*; Spyros Gidaris (valeo.ai); Bill Psomas (National Technical University of Athens); Yannis Avrithis (IARAI, Athena RC); Andrei Bursuc (valeo.ai); Konstantinos Karantzalos (National Technical University of Athens); Nikos Komodakis (University of Crete)	N/A	N/A
Static and Dynamic Concepts for Self-supervised Video Representation Learning	Rui Qian (The Chinese University of Hong Kong)*; Shuangrui Ding (Shanghai Jiao Tong University); Xian Liu (The Chinese University of Hong Kong); Dahua Lin (The Chinese University of Hong Kong)	N/A	N/A
Deep Partial Updating: Towards Communication Efficient Updating for On-device Inference	Zhongnan Qu (ETH Zurich)*; Cong Liu (University of Texas at Dallas); Lothar Thiele (ETH Zürich)	N/A	N/A
Gradient-based Uncertainty for Monocular Depth Estimation	Julia Hornauer (Ulm University)*; Vasileios Belagiannis (Otto von Guericke University Magdeburg)	N/A	N/A
Flow-Guided Transformer for Video Inpainting	Kaidong Zhang (University of Science and Technology of China); Jingjing Fu (Microsoft)*; Dong Liu (University of Science and Technology of China)	N/A	N/A
Relationformer: A Unified Framework for Image-to-Graph Generation	Suprosanna Shit (TUM)*; Rajat Koner (Ludwig Maximilian University of Munich); Bastian Wittmann (Technical University of Munich); Johannes C. Paetzold (TUM); Ivan Ezhov (TUM); Hongwei Li (Technical University of Munich); Jiazhen Pan (Technical University of Munich); Sahand Sharifzadeh (Ludwig Maximilian University of Munich); Georgios Kaissis (Technische Universität München); Volker Tresp (LMU); Bjoern Menze (TUM)	N/A	N/A
ARAH: Animatable Volume Rendering of Articulated Human SDFs	Shaofei wang (ETH Zurich)*; Katja Schwarz (MPI Tuebingen); Andreas Geiger (University of Tuebingen); Siyu Tang (ETH Zurich)	N/A	N/A
Learning Hierarchy Aware Features for Reducing Mistake Severity	Ashima Garg (IIIT Delhi)*; Depanshu Sani (Indraprastha Institute of Information Technology); Saket Anand (Indraprastha Institute of Information Technology Delhi)	N/A	N/A
Exploiting Unlabeled Data with Vision and Language Models for Object Detection	Shiyu Zhao (Rutgers University)*; Zhixing Zhang (Rutgers University); Samuel Schulter (NEC Laboratories America); Long Zhao (Google Research); Vijay Kumar B G (NEC Laboratories America); Anastasis Stathopoulos (Rutgers University); Manmohan Chandraker (UC San Diego); Dimitris N. Metaxas (Rutgers)	N/A	N/A
A Simple and Robust Correlation Filtering method for text-based person search	Wei Suo (Northwestern Polytechnical University); MengYang Sun (Northwestern Polytechnical University); Kai Niu (Northwestern Polytechnical University); Yiqi Gao (Northwestern Polytechnical University); Peng Wang (Northwestern Polytechnical University); Yanning Zhang (Northwestern Polytechnical University)*; Qi Wu (University of Adelaide)	N/A	N/A
Hunting Group Clues with Transformers for Social Group Activity Recognition	Masato Tamura (Hitachi America, Ltd.)*; Rahul Vishwakarma (Hitachi America Ltd.); Ravigopal Vennelakanti (Hitachi America, Ltd.)	N/A	N/A
Quantized GAN for Complex Music Generation from Dance Videos	Ye Zhu (Illinois Institute of Technology)*; Kyle B Olszewski (Snap Inc.); Yu Wu (Princeton University); Panos Achlioptas (Stanford University); Menglei Chai (Snap Inc.); Yan Yan (Illinois Institute of Technology); Sergey Tulyakov (Snap Inc)	N/A	N/A
Not Just Streaks: Towards Ground Truth for Single Image Deraining	Yunhao Ba (UCLA)*; Howard Zhang (UCLA); Ethan Yang (UCLA); Akira Suzuki (UCLA); Arnold J Pfahnl (University of California, Los Angeles); Chethan Chinder Chandrappa (University of California – Los Angeles); Celso de Melo (Army Research Laboratory); Suya You (US Army Research Laboratory); Stefano Soatto (UCLA); Alex Wong (Yale University); Achuta Kadambi (UCLA)	N/A	N/A
HIVE: Evaluating the Human Interpretability of Visual Explanations	Sunnie S. Y. Kim (Princeton University)*; Nicole Meister (Princeton University); Vikram V. Ramaswamy (Princeton University); Ruth C Fong (Princeton University); Olga Russakovsky (Princeton University)	N/A	N/A
GAMa: Cross-view Video Geo-localization	Shruti Vyas (University of Central Florida)*; Chen Chen (University of Central Florida); Mubarak Shah (University of Central Florida)	N/A	N/A
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds	Ta-Ying Cheng (University of Oxford); Qingyong Hu (University of Oxford)*; Qian Xie (University of Oxford); Niki Trigoni (University of Oxford); Andrew Markham (University of Oxford)	N/A	N/A
Multi-Query Video Retrieval	Zeyu Wang (Princeton University)*; Yu Wu (Princeton University); Karthik Narasimhan (Princeton University); Olga Russakovsky (Princeton University)	N/A	N/A
Waymo Open Dataset: Panoramic Video Panoptic Segmentation	Jieru Mei (Johns Hopkins University); Alex Zhu (Waymo)*; Xinchen Yan (Waymo); Hang Yan (Waymo LLC); Siyuan Qiao (Google); Yukun Zhu (Google Inc.); Liang-Chieh Chen (Google Inc.); Henrik Kretzschmar (Waymo)	N/A	N/A
MIME: Minority Inclusion for Majority Group Enhancement of AI Performance	Pradyumna Chari (UCLA); Yunhao Ba (UCLA)*; Shreeram Athreya (UCLA); Achuta Kadambi (UCLA)	N/A	N/A
Self-supervised Human Mesh Recovery with Cross-Representation Alignment	Xuan Gong (University at Buffalo); Meng Zheng (United Imaging Intelligence); Benjamin Planche (United Imaging Intelligence); Srikrishna Karanam (Adobe Research); Terrence Chen (United Imaging Intelligence); David Doermann (University at Buffalo); Ziyan Wu (United Imaging Intelligence)*	N/A	N/A
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency	Medhini Narasimhan (UC Berkeley)*; Arsha Nagrani (Google); Chen Sun (Brown University); Michael Rubinstein (Google); Trevor Darrell (UC Berkeley); Anna Rohrbach (UC Berkeley); Cordelia Schmid (Google)	N/A	N/A
A Perceptual Quality Metric for Video Frame Interpolation	Qiqi Hou (Portland State University)*; Abhijay Ghildyal (Portland State University); Feng Liu (Portland State University)	N/A	N/A
Adaptive Feature Interpolation for Low-Shot Image Generation	Mengyu Dai (Microsoft Corporation)*; Haibin Hang (Amazom.com); Xiaoyang Guo (Facebook)	N/A	N/A
Rethinking Learning Approaches for Long-Term Action Anticipation	Megha Nawhal (Simon Fraser University)*; Akash Abdu Jyothi (Simon Fraser University); Greg Mori (Simon Fraser University / Borealis AI)	N/A	N/A
Object Manipulation via Visual Target Localization	Kiana Ehsani (Allen Institute for Artificial Intelligence)*; Ali Farhadi (University of Washington, Apple); Aniruddha Kembhavi (Allen Institute for Artificial Intelligence); Roozbeh Mottaghi (Allen Institute for AI)	N/A	N/A
AlignSDF: Pose-Aligned Signed Distance Fields for Hand-Object Reconstruction	Zerui Chen (Inria Paris); Yana Hasson (Inria); Cordelia Schmid (Inria/Google)*; Ivan Laptev (INRIA Paris)	N/A	N/A
Shift-tolerant Perceptual Similarity Metric	Abhijay Ghildyal (Portland State University)*; Feng Liu (Portland State University)	N/A	N/A
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing	Benedikt Boecking (Carnegie Mellon University); Naoto Usuyama (Microsoft Research); Shruthi J Bannur (Microsoft Research); Daniel Coelho de Castro (Microsoft Research); Anton Schwaighofer (Microsoft Research); Stephanie Hyland (Microsoft Research); Maria Teodora A Wetscherek (Microsoft); Tristan Naumann (Microsoft Research Redmond, US); Aditya Nori (Microsoft Research); Javier Alvarez-Valle (Microsoft Research); Hoifung Poon (Microsoft Research); Ozan Oktay (Microsoft Research)*	N/A	N/A
Self-Supervised Sparse Representation for Video Anomaly Detection	Jhih-Ciang Wu (Academia Sinica )*; He-Yen Hsieh (Academia Sinica); Ding-Jie Chen (Academia Sinica); Chiou-Shann Fuh (National Taiwan University); Tyng-Luh Liu (Academia Sinica)	N/A	N/A
CPO: Change Robust Panorama to Point Cloud Localization	Junho Kim (Seoul National University)*; Hojun Jang (Seoul National University); Changwoon Choi (Seoul National University); Young Min Kim (Seoul National University)	N/A	N/A
MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene Flow Estimation with Monocular Images	Runfa Li (UC San Diego)*; Truong Nguyen (UC San Diego)	N/A	N/A
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning	Hyounguk Shon (KAIST)*; Janghyeon Lee (LG AI Research); Seung Hwan Kim (LG AI Research); Junmo Kim (KAIST)	N/A	N/A
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning	Haoyuan Zhang (Tianjin University)*; Yonghong Hou (Tianjin University); Wenjing Zhang (Tianjin University); Wanqing Li (University of Wollongong)	N/A	N/A
Patch Similarity Aware Data-Free Quantization for Vision Transformers	Zhikai Li (Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences); Liping Ma (Institute of Automation, Chinese Academy of Sciences); Mengjuan Chen (Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences); Junrui Xiao (Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences); Qingyi Gu (Institute of Automation, Chinese Academy of Sciences)*	N/A	N/A
Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution	Yuehan Zhang (National University of Singapore)*; Bo Ji (National University of Singapore); Jia Hao (HiSilicon (Shanghai) Technologies Co., Ltd); Angela Yao (National University of Singapore)	N/A	N/A
DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition	Yuxuan Liang (National University of Singapore)*; Pan Zhou (Sea AI Lab); Roger Zimmermann (NUS); Shuicheng Yan (Sea AI Labs)	N/A	N/A
Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection	Zhihao Gu (Shanghai Jiao Tong University)*; Taiping Yao (Tencent YouTu); Yang Chen (Tencent); Shouhong Ding (Tencent); Lizhuang Ma (Shanghai Jiao Tong University)	N/A	N/A
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal	Xinwei Liu (Institute of Information Engineering，Chinese Academy of Sciences)*; Jian Liu (Ant Group); Yang Bai (Tsinghua); Jindong Gu (University of Munich); Tao Chen (Ant Group); Xiaojun Jia (Institute of Information Engineering，Chinese Academy of Sciences); Xiaochun Cao (Sun Yat-sen University)	N/A	N/A
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO	Sanghyuk Chun (NAVER AI Lab)*; Wonjae Kim (NAVER AI Lab); Song Park (NAVER AI Lab); Minsuk Chang (NAVER AI Lab); Seong Joon Oh (Naver AI Lab)	N/A	N/A
Personalizing Federated Medical Image Segmentation via Local Calibration	Jiacheng Wang (Xiamen University); Yueming Jin (The Chinese University of Hong Kong); Liansheng Wang (Xiamen University)*	N/A	N/A
Learning to Detect Every Thing in an Open World	Kuniaki Saito (Boston University)*; Ping Hu (Boston University); Trevor Darrell (UC Berkeley); Kate Saenko (Boston University)	N/A	N/A
MVP: Multimodality-guided Visual Pre-training	Longhui Wei (University of Science and Technology of China)*; Lingxi Xie (Huawei Inc.); Wengang Zhou (University of Science and Technology of China); Houqiang Li (University of Science and Technology of China); Qi Tian (Huawei Cloud & AI)	N/A	N/A
Uncertainty Learning in Kernel Estimation for Multi-Stage Blind Image Super-Resolution	Zhenxuan Fang (Xidian University); Weisheng Dong (Xidian University)*; Xin Li (West Virginia University); Jinjian Wu (Xidian University); Leida Li (Xidian University); Guangming Shi (Xidian University)	N/A	N/A
Physical Attack on Monocular Depth Estimation in Autonomous Driving with Optimal Adversarial Patches	Zhiyuan Cheng (Purdue University)*; James C Liang (Rochester Institute of Technology); Hongjun Choi (Purdue University); Guanhong Tao (Purdue University); Zhiwen Cao (Purdue University); Dongfang Liu (Rochester Institute of Technology); Xiangyu Zhang (Purdue University)	N/A	N/A
KVT: $k$-NN Attention for Boosting Vision Transformers	Pichao Wang (Alibaba Group)*; Xue Wang (Alibaba DAMO Academy); Fan Wang (Alibaba Group); Ming Lin (Alibaba Group); Shuning Chang (Alibiba Group); Hao Li (Alibaba Group); rong jin (alibaba group)	N/A	N/A
Locally Varying Distance Transform for Unsupervised Visual Anomaly Detection	Wen-Yan Lin (SMU); Zhonghang Liu (SMU); Siying Liu (I2R Singapore)*	N/A	N/A
Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation	Gensheng Pei (Nanjing University of Science and Technology)*; Fumin Shen (UESTC); Yazhou Yao (Nanjing University of Science and Technology); Guo-Sen Xie (Nanjing University of Science and Technology); Zhenmin Tang ( Nanjing University of Science and Technology); Jinhui Tang (Nanjing University of Science and Technology)	N/A	N/A
PalGAN: Image Colorization with Palette Generative Adversarial Networks	Yi Wang (Shanghai AI Laboratory)*; Menghan Xia (Tencent AI lab); Lu Qi (The Chinese University of Hong Kong); Jing Shao (Sensetime); Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)	N/A	N/A
Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis	Long Zhuo (Shanghai AI Lab)*; Guangcong Wang (Nanyang Technological University); Shikai Li (SenseTime Research); Wayne Wu (SenseTime Research); Ziwei Liu (Nanyang Technological University)	N/A	N/A
Generative Negative Text Replay for Continual Vision-Language Pretraining	Shipeng Yan (ShanghaiTech University)*; Lanqing Hong (Huawei Noah’s Ark Lab); Hang Xu (Huawei Noah’s Ark Lab); Jianhua Han (Huawei Noah’s Ark Lab); Tinne Tuytelaars (KU Leuven); Zhenguo Li (Huawei Noah’s Ark Lab); Xuming He (ShanghaiTech University)	N/A	N/A
Learning Spatio-Temporal Downsampling for Effective Video Upscaling	Xiaoyu Xiang (Meta Platforms Inc.)*; Yapeng Tian (University of Texas at Dallas); Vijay Rengarajan (Meta Platforms Inc.); Lucas D Young (Facebook); Bo Zhu (Meta Platforms, Inc.); Rakesh Ranjan (Facebook)	N/A	N/A
Geometric Representation Learning for Document Image Rectification	Hao Feng (University of Science and Technology of China)*; Wengang Zhou (University of Science and Technology of China); Jiajun Deng (University of Science and Technology of China); Yuechen Wang (University of Science and Technology of China); Houqiang Li (University of Science and Technology of China)	N/A	N/A
ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer	Hongkai Chen (HKUST)*; Zixin Luo (Apple Inc.); Lei Zhou (Apple); Yurun Tian (Apple); Zhen Mingmin (Apple Inc.); Tian Fang (Apple); David N McKinnon (Apple); Yanghai Tsin (Apple Inc); Long Quan (Apple)	N/A	N/A
Egocentric Activity Recognition and Localization on a 3D Map	Miao Liu (Georgia Institute of Technology)*; Lingni Ma (Facebook Reality Labs); Kiran Somasundaram (Facebook Reality Labs); Yin Li (University of Wisconsin-Madison); Kristen Grauman (Facebook AI Research & UT Austin); James Rehg (Georgia Institute of Technology); Chao Li (Facebook Reality Labs)	N/A	N/A
Generative Adversarial Network for Future Hand Segmentation from Egocentric Video	Wenqi Jia (Georgia Institute of Technology)*; Miao Liu (Georgia Institute of Technology); James Rehg (Georgia Institute of Technology)	N/A	N/A
One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement	Zihao Yin (Center for Data Science, Peking University); Ping Gong (Deepwise AI Lab); Chunyu Wang (Microsoft Research asia); Yizhou Yu (The University of Hong Kong); Yizhou Wang (PKU)*	N/A	N/A
Learning Prior Feature and Attention Enhanced Image Inpainting	chenjie cao (fudan.edu.cn)*; Qiaole Dong (Fudan University); Yanwei Fu (Fudan University)	N/A	N/A
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions	Yian Wang (Peking university); Ruihai Wu (Peking University); Kaichun Mo (Stanford); Jiaqi Ke (Peking University); Qingnan Fan (Tencent AI Lab); Leonidas Guibas (Stanford University); Hao Dong (Peking University)*	N/A	N/A
Video Graph Transformer for Video Question Answering	Junbin Xiao (National University of Singapore)*; Pan Zhou (Sea AI Lab); Tat-Seng Chua (National Univ. of Singapore); Shuicheng Yan (Sea AI Labs)	N/A	N/A
A Reliable Online Method for Joint Estimation of Focal Length and Camera Rotation	Yiming Qian (Osaka University)*; James Elder (York University)	N/A	N/A
Learning Local Implicit Fourier Representation for Image Warping	Jaewon Lee (DGIST)*; Kwang Pyo Choi (Samsung Electronics); Kyong Hwan Jin (DGIST)	N/A	N/A
SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancement	Canqian Yang (Shanghai Jiao Tong University); Meiguang Jin (Alibaba Group); Yi Xu (Shanghai Jiao Tong University)*; Rui Zhang (Shanghai Jiao Tong University); Ying Chen (Alibaba Group); Huaida Liu (Alibaba)	N/A	N/A
Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning	Wenpeng Xing (Hong Kong Baptist University); Jie Chen (Hong Kong Baptist University)*	N/A	N/A
Blind Image Decomposition	Junlin Han (CSIRO)*; Weihao Li (Data61, CSIRO); Pengfei Fang (The Australian National University); Chunyi Sun (Australian National University ); Jie Hong (Australian National University); Mohammad Ali Armin (CSIRO(Data61)); Lars Petersson (Data61/CSIRO); HONGDONG LI (Australian National University, Australia)	N/A	N/A
INT: Towards Infinite-frames 3D Detection with An Efficient Framework	Jianyun Xu (DAMO Academy, Alibaba Group)*; Zhenwei Miao (DAMO Academy, Alibaba Group); Da Zhang (UC Santa Barbara); Hongyu Pan (DAMO Academy, Alibaba Group); Kaixuan Liu (DAMO Academy, Alibaba Group); Peihan Hao (DAMO Academy, Alibaba Group); Jun Zhu (DAMO Academy, Alibaba Group); Zhengyang Sun (Tsinghua University); Li Hongmin (Huawei TCS lab); Xin Zhan (DAMO Academy, Alibaba Group)	N/A	N/A
MuLUT: Cooperating Multiple Look-Up Tables for Efficient Image Super-Resolution	Jiacheng Li (University of Science and Technology of China); Chang Chen (Huawei Noah’s Ark Lab); Zhen Cheng (University of Science and Technology of China); Zhiwei Xiong (University of Science and Technology of China)*	N/A	N/A
NDF: Neural Deformable Fields for Dynamic Human Modelling	Ruiqi Zhang (Hong Kong Baptist University); Jie Chen (Hong Kong Baptist University)*	N/A	N/A
MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects	Juewen Peng (Huazhong University of Science and Technology); Jianming Zhang (Adobe Research); Xianrui Luo (Huazhong University of Science and Technology); Hao Lu (Huazhong University of Science and Technology); Ke Xian (Huazhong University of Science and Technology)*; Zhiguo Cao (Huazhong Univ. of Sci.&Tech.)	N/A	N/A
Neural Density-Distance Fields	Itsuki UEDA (University of Tsukuba)*; Yoshihiro Fukuhara (Waseda University); Hirokatsu Kataoka (National Institute of Advanced Industrial Science and Technology (AIST)); Hiroaki Aizawa (Hiroshima University); Hidehiko Shishido (University of Tsukuba); Itaru Kitahara (University of Tsukuba)	N/A	N/A
MoDA: Map style transfer for self-supervised Domain Adaptation of embodied agents	Eun Sun Lee (Seoul National University)*; Junho Kim (Seoul National University); Sangwon Park (Seoul Nat’l University); Young Min Kim (Seoul National University)	N/A	N/A
L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training	Jonghyun Bae (Seoul National University)*; Woohyeon Baek (Seoul National University); Tae Jun Ham (Seoul National University); Jae W. Lee (Seoul National University)	N/A	N/A
Prior-Guided Adversarial Initialization for Fast Adversarial Training	Xiaojun Jia (Institute of Information Engineering，Chinese Academy of Sciences)*; Yong Zhang (Tencent AI Lab); Xingxing Wei (Beihang University); Baoyuan Wu (The Chinese University of Hong Kong, Shenzhen; Shenzhen Research Institute of Big Data); Ke Ma (UCAS); Jue Wang (Tencent AI Lab); Xiaochun Cao (Sun Yat-sen University)	N/A	N/A
Housekeep: Tidying Virtual Households using Commonsense Reasoning	Yash Mukund Kant (University of Toronto)*; Arun Ramachandran (Georgia Institute of Technology); Sriram Yenamandra (Georgia Institute of Technology); Igor Gilitschenski (University of Toronto); Dhruv Batra (Georgia Tech & Facebook AI Research); Andrew Szot (Georgia Institute of Technology); Harsh Agrawal (Georgia Institute of Technology)	N/A	N/A
Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset	Huanjing Yue (Tianjin University)*; Zhiming Zhang (Tianjin University); Jingyu Yang (Tianjin University)	N/A	N/A
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning	Shengchao Hu (Shanghai Jiao Tong University)*; Li Chen (Shanghai AI Laboratory); Penghao Wu (Shanghai Jiao Tong University); Hongyang Li (SenseTime); Junchi Yan (Shanghai Jiao Tong University); Dacheng Tao (JD.com)	N/A	N/A
NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer	Yunxiao Wang (Tsinghua University); Yanjie Li (Tsinghua University)*; Peidong Liu (Tsinghua University); Tao Dai (Shenzhen University); Shu-Tao Xia (Tsinghua University)	N/A	N/A
Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution	Zhongwei Qiu (University of Science and Technology Beijing); Huan Yang (Microsoft Research)*; Jianlong Fu (Microsoft Research); Dongmei Fu (University of Science and Technology Beijing)	N/A	N/A
Adversarial Partial Domain Adaptation by Cycle Inconsistency	Kun-Yu Lin (Sun Yat-sen University); Jiaming Zhou (Sun Yat-sen University); Yukun Qiu (Sun Yat-sen University); WEI-SHI ZHENG (Sun Yat-sen University, China)*	N/A	N/A
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks	Uddeshya Upadhyay (University of Tübingen)*; Shyamgopal Karthik (University of Tübingen); Massimiliano Mancini (University of Tübingen); Yanbei Chen (University of Tübingen); Zeynep Akata (University of Tübingen)	N/A	N/A
Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects	Qiyu Dai (Peking University); Jiyao Zhang (Xi’an Jiaotong University); Qiwei Li (Peking University); tianhao wu (Peking University); Hao Dong (Peking University); Ziyuan Liu (Huawei group); Ping Tan (Simon Fraser University); He Wang (Peking University)*	N/A	N/A
PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo	Wenqi Yang (The University of Hong Kong)*; Guanying CHEN (The Chinese University of Hong Kong, Shenzhen); Chaofeng Chen (Nanyang Technological University); Zhenfang Chen (MIT-IBM Watson AI Lab); Kwan-Yee K. Wong (The University of Hong Kong)	N/A	N/A
DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimation	Ailing Zeng (The Chinese University of Hong Kong)*; Xuan Ju (The Chinese University of Hong Kong); Lei Yang (Sensetime Group Limited); Ruiyuan Gao (The Chinese University of Hong Kong); Xizhou Zhu (SenseTime); Bo Dai (Shanghai AI Lab); Qiang Xu (The Chinese University of Hong Kong)	N/A	N/A
Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting	Dooseop Choi (ETRI)*; KyoungWook Min (ETRI)	N/A	N/A
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos	Ailing Zeng (The Chinese University of Hong Kong)*; Lei Yang (Sensetime Group Limited); Xuan Ju (The Chinese University of Hong Kong); Jiefeng Li (Shanghai Jiao Tong University); Jianyi Wang (Nanyang Technological University); Qiang Xu (The Chinese University of Hong Kong)	N/A	N/A
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency	Tom Monnier (École des ponts Paristech)*; Matthew Fisher (Adobe Research); Alexei A Efros (UC Berkeley); Mathieu Aubry (École des ponts ParisTech)	N/A	N/A
End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution	Mingxiang Liao (University of Chinese Academy of Sciences); Fang Wan (University of Chinese Academy of Sciences)*; Yuan Yao (University of Chinese Academy of Sciences); Zhenjun Han (University of Chinese Academy of Sciences); Zou Jialing (University of Chinese Academy of Science); Yuze Wang ( Huawei Noah’s Ark Lab); Bailan Feng (Huawei Noah’s Ark Lab); Peng Yuan (Huawei Noah’s Ark Lab); Qixiang Ye (University of Chinese Academy of Sciences, China)	N/A	N/A
PAC-Net: Highlight Your Video via History Preference Modeling	Hang Wang (Huawei HiSilicon)*; Penghao Zhou (ByteDance); Chong Zhou (Nanyang Technological University); Zhao Zhang (Nankai University); Xing Sun (Shopee)	N/A	N/A
Efficient Point Cloud Analysis Using Hilbert Curve	Wanli Chen (CUHK)*; Xinge Zhu (The Chinese University of Hong Kong); Guojin Chen (The Chinese University of Hong Kong); Bei Yu (CUHK)	N/A	N/A
Learning Online Multi-Sensor Depth Fusion	Erik Sandström (ETH Zürich)*; Martin R. Oswald (ETH Zurich); Suryansh Kumar (ETH Zurich); Silvan Weder (ETH Zürich); Fisher Yu (ETH Zurich); Cristian Sminchisescu (Lund University); Luc Van Gool (ETH Zurich)	N/A	N/A
Self-Support Few-Shot Semantic Segmentation	Qi Fan (HKUST)*; Wenjie Pei (Harbin Institute of Technology, Shenzhen); Yu-Wing Tai (Kuaishou Technology / HKUST); Chi-Keung Tang (Hong Kong University of Science and Technology)	N/A	N/A
Few-Shot Object Detection with Model Calibration	Qi Fan (HKUST)*; Chi-Keung Tang (Hong Kong University of Science and Technology); Yu-Wing Tai (Kuaishou Technology / HKUST)	N/A	N/A
S2-VER: Semi-Supervised Visual Emotion Recognition	Guoli Jia (NanKai University); Jufeng Yang (Nankai University )*	N/A	N/A
Self-Supervision Can Be a Good Few-Shot Learner	Yuning Lu (USTC); liangjian Wen (the Noah’s Ark Lab, Huawei Technologies Company Limited); Jianzhuang Liu (Huawei Noah’s Ark Lab); Yajing Liu (USTC); Xinmei Tian (USTC)*	N/A	N/A
My View is the Best View: Procedure Learning from Egocentric Videos	Siddhant Bansal (IIIT, Hyderabad)*; Chetan Arora (Indian Institute of Technology Delhi); C.V. Jawahar (IIIT-Hyderabad)	N/A	N/A
Trace Controlled Text to Image Generation	Kun Yan (Beihang University)*; Lei Ji (Microsoft); Chenfei Wu (Microsoft); Jianmin Bao (microsoft.com); Ming Zhou (SINOVATION VENTURES); Nan Duan (Microsoft Research); Shuai Ma (Beihang University)	N/A	N/A
Towards Comprehensive Representation Enhancement in Semantics-guided Self-supervised Monocular Depth Estimation	Jingyuan Ma (HikVision Research Institute)*; Xiangyu Lei (Hikvision Research Institute); Nan Liu (hikvison); Zhao Xian (Hikvision); Shiliang Pu (Hikvision Research Institute)	N/A	N/A
Calibration-free Multi-view Crowd Counting	Qi Zhang (City University of Hong Kong, Hong Kong)*; Antoni Chan (City University of Hong Kong, Hong, Kong)	N/A	N/A
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training	Zhenyu Li (Harbin Institute of Technology)*; Zehui Chen (University of Science and Technology of China); Ang Li (SenseTime Research); Liangji Fang (Sensetime Research); Qinhong Jiang (SenseTime Research; Shanghai AI Laboratory); Xianming Liu (Harbin Institute of Technology); Junjun Jiang (Harbin Institute of Technology)	N/A	N/A
Online Continual Learning with Contrastive Vision Transformer	Zhen Wang (The University of Sydney )*; Liu Liu (The University of Sydney); Yajing Kong (The University of Sydney); Jiaxian Guo (The University of Sydney); Dacheng Tao (JD.com)	N/A	N/A
COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts	Jeonghun Baek (The University of Tokyo)*; Yusuke Matsui (The University of Tokyo); Kiyoharu Aizawa (The University of Tokyo)	N/A	N/A
BungeeNeRF: Progressive Neural Radiance Field for Extreme Multiscale Scene Rendering	Yuanbo Xiangli (Chinese University of Hong Kong)*; Linning Xu (CUHK); Xingang Pan (Max Planck Institute for Informatics); Nanxuan Zhao (University of Bath); Anyi Rao (The Chinese University of Hong Kong); Christian Theobalt (MPI Informatik); Bo Dai (Shanghai AI Lab); Dahua Lin (The Chinese University of Hong Kong)	N/A	N/A
AiATrack: Attention in Attention for Transformer Visual Tracking	Shenyuan Gao (Huazhong University of Science and Technology)*; CHUNLUAN ZHOU (Wormpex AI Research); Chao Ma (Shanghai Jiao Tong University); Xinggang Wang (Huazhong University of Science and Technology); Junsong Yuan (“State University of New York at Buffalo, USA”)	N/A	N/A
Learning Invariant Visual Representations for Compositional Zero-Shot Learning	Tian Zhang (Beijing University of Posts and Telecommunications); Kongming Liang (Beijing University of Posts and Telecommunications)*; Ruoyi Du (Beijing University of Posts and Telecommunications); Xian Sun (Aerospace Information Research Institute, Chinese Academy of Sciences); Zhanyu Ma (Beijing University of Posts and Telecommunications); Jun Guo (Beijing University of Posts and Telecommunications)	N/A	N/A
Image Coding for Machines with Omnipotent Feature Learning	Ruoyu Feng (University of Science and Technology of China)*; Xin Jin (University of Science and Technology of China); Zongyu Guo (University of Science and Technology of China); Runsen Feng (University of Science and Technology of China); Yixin Gao (University of Science and Technology of China); Tianyu He (Microsoft Research Asia); Zhizheng Zhang (Microsoft Research); Simeng Sun (University of Science and Technology of China); Zhibo Chen (University of Science and Technology of China)	N/A	N/A
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric	Malte Pedersen (Aalborg University)*; Joakim Bruslund Haurum (Aalborg University); Patrick Dendorfer (TUM); Thomas B. Moeslund (Aalborg University)	N/A	N/A
How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?	Fida Mohammad Thoker (University of Amsterdam)*; Hazel Doughty (University of Amsterdam); Piyush Nitin Bagad (University of Amsterdam); Cees Snoek (University of Amsterdam)	N/A	N/A
Rethinking Robust Representation Learning Under Fine-grained Noisy Faces	Bingqi Ma (Sensetime Group Limited)*; Guanglu Song (Sensetime); Boxiao Liu (Institute of Computing Technology, Chinese Academy of Sciences); Yu Liu (SenseTime Group LTD)	N/A	N/A
Feature Representation Learning for Unsupervised Cross-domain Image Retrieval	Conghui Hu (National University of Singapore)*; Gim Hee Lee (National University of Singapore)	N/A	N/A
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation	sunghwan hong (Korea University); Seokju Cho (Korea University); Jisu Nam (korea university); Stephen Lin (Microsoft Research); Seungryong Kim (Korea University)*	N/A	N/A
Spatial-Frequency Domain Information Integration for Pan-sharpening	man zhou (University of Science and Technology of China); Jie Huang (University of Science and Technology of China); Keyu Yan (University of Science and Technology of China); Hu Yu (University of Science and Technology of China); Xueyang Fu (University of Science and Technology of China); Aiping Liu (University of Science and Technology of China); Xian Wei (East China Normal University); Feng Zhao (University of Science and Technology of China)*	N/A	N/A
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement	Keyang Zhou (University of Tübingen)*; Bharat Lal Bhatnagar (University of Tübingen, MPI informatik); Jan E. Lenssen (TU Dortmund); Gerard Pons-Moll (University of Tübingen)	N/A	N/A
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation	Lukas Hoyer (ETH Zurich)*; Dengxin Dai (ETH Zurich); Luc Van Gool (ETH Zurich)	N/A	N/A
Combating Label Distribution Shift for Active Domain Adaptation	Sehyun Hwang (POSTECH)*; Sohyun Lee (POSTECH); Sungyeon Kim (POSTECH); Jungseul Ok (POSTECH); Suha Kwak (POSTECH)	N/A	N/A
GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation	Cristiano Saltori (University of Trento)*; Evgeny Krivosheev (University of Trento); Stéphane Lathuilière (Telecom-Paris); Nicu Sebe (University of Trento); Fabio Galasso (Sapienza University); Giuseppe Fiameni (NVIDIA); Elisa Ricci (University of Trento); Fabio Poiesi (Fondazione Bruno Kessler)	N/A	N/A
SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud	Xiangrui Zhao (Zhejiang University)*; Sheng Yang (Alibaba Group); Tianxin Huang (Zhejiang University); Jun Chen (Zhejiang University); Teng Ma (Alibaba Group); Mingyang Li (Alibaba A.I. Labs); Yong Liu (Zhejiang University)	N/A	N/A
Efficient Meta-Tuning for Content-aware Neural Video Delivery	Xiaoqi Li (Columbia university in the city of New york)*; Jiaming Liu (Peking University); Shizun Wang (Beijing University of Posts and Telecommunications); Cheng Lyu (Beijing University of Posts and Telecommunications); Ming Lu (Intel Labs China); Yurong Chen (Intel Labs China); Anbang Yao (Intel Labs China); Yandong Guo (OPPO Research Institute); Shanghang Zhang (University of California, Berkeley)	N/A	N/A
PoseTrans: A Simple Yet Effective Pose Transformation Augmentation for Human Pose Estimation	Wentao Jiang (Beihang University)*; Sheng Jin (The University of Hong Kong); Wentao Liu (Sensetime); Chen Qian (SenseTime); Ping Luo (The University of Hong Kong); Si Liu (Beihang University)	N/A	N/A
3D-Aware Semantic-Guided Generative Model for Human Synthesis	Jichao Zhang (University of Trento)*; Enver Sangineto (University of Modena and Reggio Emilia); Hao Tang (ETH Zurich); Aliaksandr Siarohin (Snapchat); Zhun Zhong (University of Trento); Nicu Sebe (University of Trento); Wei Wang (EPFL)	N/A	N/A
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality	Yue Song (University of Trento)*; Nicu Sebe (University of Trento); Wei Wang (EPFL)	N/A	N/A
CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation	Cristiano Saltori (University of Trento)*; Fabio Galasso (Sapienza University); Giuseppe Fiameni (NVIDIA); Nicu Sebe (University of Trento); Elisa Ricci (University of Trento); Fabio Poiesi (Fondazione Bruno Kessler)	N/A	N/A
Streaming Multiscale Deep Equilibrium Models	Can Ufuk Ertenli (Middle East Technical University)*; Emre Akbas (METU); Ramazan Gokberk Cinbis (METU)	N/A	N/A
AvatarCap: Animatable Avatar Conditioned Monocular Human Volumetric Capture	Zhe Li (Tsinghua University)*; Zerong Zheng (Tsinghua University); Hongwen Zhang (Tsinghua University); Chaonan Ji (Tsinghua University); Yebin Liu (Tsinghua University)	N/A	N/A
Hierarchical Average Precision Training for Pertinent Image Retrieval	Elias Ramzi (Conservatoire Nation des Arts et Metiers)*; Nicolas Audebert (Cnam); Nicolas Thome (CNAM, Paris); Clément Rambour (Cnam); Xavier B Bitot (Coexya)	N/A	N/A
Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition	Shilin Xu (Peking University); Xiangtai Li (Peking University)*; Jingbo Wang (The Chinese University of HongKong); Guangliang Cheng (Sensetime Group Limited); Yunhai Tong (Peking University); Dacheng Tao (JD.com)	N/A	N/A
Out-of-Distribution Detection with Semantic Mismatch under Masking	Yijun Yang (The Chinese University of Hong Kong)*; Ruiyuan Gao (The Chinese University of Hong Kong); Qiang Xu (The Chinese University of Hong Kong)	N/A	N/A
Target-absent Human Attention	Zhibo Yang (Stony Brook University)*; Sounak Mondal (Stony Brook University); Seoyoung Ahn (Stony Brook University); Gregory Zelinsky (Stony Brook University); Minh Hoai (Stony Brook University); Dimitris Samaras (Stony Brook University)	N/A	N/A
Reference-based Image Super-Resolution with Deformable Attention Transformer	Jiezhang Cao (ETH Zürich)*; Jingyun Liang (ETH Zurich); Kai Zhang (ETH Zurich); Yawei Li (ETH Zurich); Yulun Zhang (ETH Zurich); Wenguan Wang (Eidgenössische Technische Hochschule Zürich); Luc Van Gool (ETH Zurich)	N/A	N/A
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers	Junhyeong Cho (POSTECH)*; Kim Youwang (POSTECH); Tae-Hyun Oh (POSTECH)	N/A	N/A
Learning to Generate Realistic LiDAR Point Cloud	Vlas Zyrianov (University of Illinois Urbana Champaign); Xiyue Zhu (university of illinois); Shenlong Wang (UIUC)*	N/A	N/A
GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping	Pan Ji (OPPO US Research Center)*; Qingan Yan (OPPO US Research Center); Yuxin Ma (Wing LLC); Yi Xu (OPPO US Research Center)	N/A	N/A
Transform your Smartphone into a DSLR Camera: Learning the ISP in the Wild	Ardhendu Shekhar Tripathi (ETH Zurich)*; Martin Danelljan (ETH Zurich); Samarth Shukla (ETH Zurich); Radu Timofte (University of Wurzburg & ETH Zurich); Luc Van Gool (ETH Zurich)	N/A	N/A
Uncertainty-Based Spatial-Temporal Attention for Online Action Detection	Hongji Guo (Rensselaer Polytechnic Institute)*; Zhou Ren (Wormpex AI Research); Yi Wu (Wormpex AI Research); Gang Hua (Wormpex AI Research); Qiang Ji (Rensselaer Polytechnic Institute)	N/A	N/A
Video Question Answering with Iterative Video-Text Co-Tokenization	AJ Piergiovanni (Google)*; Kairo Morton (Massachusetts Institute of Technology); Weicheng Kuo (Google); Michael S Ryoo (Google; Stony Brook University); Anelia Angelova (Google)	N/A	N/A
LaTeRF: Label and Text Driven Object Radiance Fields	Ashkan Mirzaei (University of Toronto)*; Yash Mukund Kant (University of Toronto); Jonathan Kelly (University of Toronto); Igor Gilitschenski (University of Toronto)	N/A	N/A
Temporally Consistent Semantic Video Editing	Yiran Xu (University of Maryland, College Park)*; Badour A Sh AlBahar (Virginia Tech); Jia-Bin Huang (Facebook )	N/A	N/A
SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation	Yang Zou (Amazon AI)*; Jongheon Jeong (KAIST); Latha Pemula (Amazon); Dongqing Zhang (Amazon); Onkar Dabeer (Amazon)	N/A	N/A
Exploring Plain Vision Transformer Backbones for Object Detection	Yanghao Li (Facebook AI Research)*; Hanzi Mao (Facebook AI Research); Ross Girshick (FAIR); Kaiming He (Facebook AI Research)	N/A	N/A
Fine-grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications	Lingzhi Zhang (University of Pennsylvania)*; Shenghao Zhou (University of Pennsylvania); Simon Stent (Toyota Research Institute); Jianbo Shi (University of Pennsylvania)	N/A	N/A
Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic Segmentation?	Xinyi Wu (University of South Carolina); Zhenyao Wu (University of South Carolina)*; Jin Wan (Beijing Jiaotong University); Lili Ju (University of South Carolina); Song Wang (University of South Carolina)	N/A	N/A
GIMO: Gaze-Informed Human Motion Prediction in Context	Yang Zheng (Tsinghua University); Yanchao Yang (Stanford University)*; Kaichun Mo (Stanford); Jiaman Li (University of Southern California); Tao Yu (Tsinghua University); Yebin Liu (Tsinghua University); Karen Liu (Stanford); Leonidas Guibas (Stanford University)	N/A	N/A
Error Compensation Framework for Flow-Guided Video Inpainting	Jaeyeon Kang (Yonsei University); Seoung Wug Oh (Adobe Research); Seon Joo Kim (Yonsei University)*	N/A	N/A
Decomposing The Tangent of Occluding Boundaries According to Curvatures and Torsions	Huizong Yang (Georgia Institute of Technology)*; Anthony Yezzi (Georgia Institute of Technology)	N/A	N/A
CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution	Taeho Kim (University of Colorado at Boulder)*; Yongin Kwon (Electronics and Telecommunications Research Institute); Jemin Lee (Electronics and Telecommunications Research Institute); Taeho Kim (Electronics and Telecommunications Research Institute); Sangtae Ha (University of Colorado at Boulder)	N/A	N/A
Scraping Textures from Natural Images for Synthesis and Editing	Xueting Li (University of California, Merced)*; Xiaolong Wang (UCSD); Ming-Hsuan Yang (University of California at Merced); Alexei A Efros (UC Berkeley); Sifei Liu (NVIDIA)	N/A	N/A
Self-supervised Learning of Visual Graph Matching	Chang Liu (Shanghai Jiao Tong University); Shaofeng Zhang (Shanghai Jiao Tong University); Xiaokang Yang (Shanghai Jiao Tong University of China); Junchi Yan (Shanghai Jiao Tong University)*	N/A	N/A
Disentangling Architecture and Training for Optical Flow	Deqing Sun (Google)*; Charles Herrmann (Google); Fitsum Reda (Google); Michael Rubinstein (Google); David J Fleet (University of Toronto); William T Freeman (Google)	N/A	N/A
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation	Kwonyoung Kim (Yonsei University); JungIn Park (Yonsei University); Jiyoung Lee (NAVER AI Lab); Dongbo Min (Ewha Womans University); Kwanghoon Sohn (Yonsei Univ.)*	N/A	N/A
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition	Sungho Shin (Gwangju Institute of Science and Technology); Joosoon Lee (Gwangju Institute of Science and Technology); junseok lee (GIST(Gwangju Institute of Science and Technology)); Yeonguk Yu (Gwangju Institute of Science and Technology); Kyoobin Lee (Gwangju Institute of Science and Technology)*	N/A	N/A
Iwin: Human-Object Interaction Detection via Transformer with Irregular Windows	Danyang Tu (Shanghai Jiao Tong University)*; Xiongkuo Min (Shanghai Jiao Tong University); Huiyu Duan (Shanghai Jiao Tong University); Guodong Guo (Baidu); Guangtao Zhai (Shanghai Jiao Tong University); Wei Shen (Shanghai Jiao Tong University)	N/A	N/A
Single Stage Virtual Try-on via Deformable Attention Flows	Shuai Bai (Alibaba Group)*; Huiling Zhou (Alibaba); Zhikang Li (DAMO Academy, Alibaba Group); Chang Zhou (Alibaba Group); Hongxia Yang (Alibaba Group)	N/A	N/A
Learning Deep Non-Blind Image Deconvolution Without Ground Truths	Yuhui Quan (South China University of Technology)*; Zhuojie Chen (South China University of Technology); Huan Zheng (National University of Singapore); Hui Ji (National University of Singapore)	N/A	N/A
Rethinking Zero-shot Action Recognition: Learning from Latent Atomic Actions	Yijun Qian (Carnegie Mellon University)*; Lijun Yu (Carnegie Mellon University); Wenhe Liu (Carnegie Mellon University); Alexander Hauptmann (Carnegie Mellon University)	N/A	N/A
NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors	Jiepeng Wang (The University of Hong Kong); Peng Wang (The University of Hong Kong); Xiaoxiao Long (The University of Hong Kong); Christian Theobalt (MPI Informatik); Taku Komura (The University of Hong Kong); Lingjie Liu (Max Planck Institute for Informatics ); Wenping Wang (The University of Hong Kong)*	N/A	N/A
Rethinking Data Augmentation for Robust Visual Question Answering	Long Chen (Columbia University)*; Yuhang Zheng (Zhejiang University); Jun Xiao (Zhejiang University)	N/A	N/A
Dual-Domain Self-Supervised Learning and Model Adaption for Deep Compressive Imaging	Yuhui Quan (South China University of Technology)*; Xinran Qin (South China University of Technology); Tongyao Pang (National University of Singapore); Hui Ji (National University of Singapore)	N/A	N/A
Explicit Image Caption Editing	Zhen Wang (Zhejiang University); Long Chen (Columbia University)*; Wenbo Ma (Zhejiang University); Guangxing Han (Columbia University); Yulei Niu (Columbia University); Jian Shao (Zhejiang University); Jun Xiao (Zhejiang University)	N/A	N/A
SphereFed: Hyperspherical Federated Learning	Xin Dong (Harvard Univeristy)*; Sai Qian Zhang (Harvard University); Ang Li (Google DeepMind); H.T. Kung (Harvard University)	N/A	N/A
Local Color Distributions Prior for Image Enhancement	Haoyuan Wang (City University of Hong Kong)*; Ke Xu (City University of Hong Kong); Rynson W.H. Lau (City University of Hong Kong)	N/A	N/A
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions	Tohar Lukov (National University of Singapore)*; Na Zhao (NUS); Gim Hee Lee (National University of Singapore); Ser-Nam Lim (Facebook AI)	N/A	N/A
Multi-Modal Masked Pre-Training for Monocular Panoramic Depth Completion	Zhiqiang Yan (Nanjing University of Science and Tenchnology)*; Xiang Li (Nanjing University of Science and Technology); Kun Wang (Nanjing University of Science and Technology); Zhenyu Zhang (Tencent); Jun Li (Nanjing University of Science and Technology); Jian Yang (Nanjing University of Science and Technology)	N/A	N/A
2D Amodal Instance Segmentation Guided by 3D Shape Prior	Zhixuan Li (Peking University); Weining Ye (Peking University); Tingting Jiang (Peking University)*; Tiejun Huang (Peking University)	N/A	N/A
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?	Yuchi Liu (Australian National University)*; Zhongdao Wang (Tsinghua University); Tom Gedeon (The Australian National University); Liang Zheng (Australian National University)	N/A	N/A
HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors	Luting Wang (Beihang University)*; Xiaojie Li (sensetime); Yue Liao (Beihang University); Zeren Jiang (ETH Zurich); Jianlong Wu (Shandong University); Fei Wang (University of Science and Technology of China); Chen Qian (SenseTime); Si Liu (Beihang University)	N/A	N/A
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation	LI XU (Singapore University of Technology and Design)*; Haoxuan Qu (Singapore University of Technology and Design); Jason Kuen (Adobe Research); Jiuxiang Gu (Adobe Research); Jun Liu (Singapore University of Technology and Design)	N/A	N/A
A Sliding Window Scheme for Online Temporal Action Localization	Young Hwi Kim (Yonsei University); Hyolim Kang (Yonsei University); Seon Joo Kim (Yonsei University)*	N/A	N/A
Ultra-high-resolution unpaired stain transformation via Kernelized Instance Normalization	Ming-Yang Ho (aetherAI)*; Min-Sheng Wu (aetherAI); Che-Ming Wu (aetherAI)	N/A	N/A
SESS: Saliency Enhancing with Scaling and Sliding	Osman Tursun (Queensland University of Technology)*; SIMON DENMAN (Queensland University of Technology, Australia); Sridha Sridharan (QUT); Clinton Fookes (Queensland University of Technology)	N/A	N/A
Data Efficient 3D Learner via Knowledge Transferred from 2D Model	Ping-Chung Yu (National Tsing Hua University)*; Cheng Sun (National Tsing Hua University); Min Sun (NTHU)	N/A	N/A
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis	Yaqian Liang (Wuhan University); Shanshan Zhao (JD.COM); Baosheng Yu (The University of Sydney); Jing Zhang (The University of Sydney); Fazhi He (Wuhan University)*	N/A	N/A
ERA: Expert Retrieval and Assembly for Early Action Prediction	Lin Geng Foo (Singapore University of Technology and Design)*; Tianjiao Li (Singapore University of Technology and Design); Hossein Rahmani (Lancaster University); Qiuhong Ke (Monash University); Jun Liu (Singapore University of Technology and Design)	N/A	N/A
Mining Cross-Person Cues for Body-Part Interactiveness Learning in HOI Detection	Xiaoqian Wu (Shanghai Jiao Tong University); Yong-Lu Li (Shanghai Jiao Tong University); Xinpeng Liu (Shanghai Jiao Tong University); Junyi Zhang (Shanghai Jiao Tong University); Yuzhe Wu (DongHua University); Cewu Lu (Shanghai Jiao Tong University)*	N/A	N/A
Improving GANs for Long-Tailed Data through Group Spectral Regularization	Harsh Rangwani (Indian Institute of Science)*; Naman Jaswani (Indian Institute of Science); Tejan Karmali (Indian Institute of Science, Bengaluru); Varun Jampani (Google); Venkatesh Babu RADHAKRISHNAN (Indian Institute of Science)	N/A	N/A
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs	Tejan Karmali (Indian Institute of Science, Bengaluru)*; Rishubh Parihar (Indian Institute of Science, Bangalore); Susmit Agrawal (Indian Institute of Science); Harsh Rangwani (Indian Institute of Science); Varun Jampani (Google); Maneesh K Singh (Motive Technologies ); Venkatesh Babu RADHAKRISHNAN (Indian Institute of Science)	N/A	N/A
Symmetry Regularization and Saturating Nonlinearity for Robust Quantization	SEIN PARK (POSTECH); Yeongsang Jang (POSTECH); Eunhyeok Park (POSTECH)*	N/A	N/A
IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion	Seung Jun Moon (KAIST)*; Gyeong-Moon Park (Kyung Hee University)	N/A	N/A
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation	Ziming Wang (Beihang University); Xiaoliang Huo (Beihang University); Zhenghao Chen (University of Sydney); Jing Zhang (Beihang University); Lu Sheng (Beihang University)*; Dong Xu (The University of Hong Kong)	N/A	N/A
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis	Shuai Shen (Tsinghua University); Wanhua Li (Tsinghua University); Zheng Zhu (Tsinghua University); Yueqi Duan (Tsinghua University); Jie Zhou (Tsinghua University); Jiwen Lu (Tsinghua University)*	N/A	N/A
StyleLight: HDR Panorama Generation for Lighting Estimation and Editing	Guangcong Wang (Nanyang Technological University)*; Yinuo Yang (Nanyang Technological University); Chen Change Loy (Nanyang Technological University); Ziwei Liu (Nanyang Technological University)	N/A	N/A
You Should Look at All Objects	Zhenchao Jin (University of Science and Technology of China)*; Dongdong Yu (ByteDance Inc.); Luchuan Song (University of Science and Technology of China); Zehuan Yuan (Bytedance.Inc); Lequan Yu (The University of Hong Kong)	N/A	N/A
BRNet: Exploring Comprehensive Features for Monocular Depth Estimation	Wencheng Han (Beijing Institute of Technology)*; Junbo Yin (Beijing Institute of Technology); Xiaogang Jin (Zhejiang University); dai xiangdong (oppo); Jianbing Shen (Inception Institute of Artificial Intelligence)	N/A	N/A
CoupleFace: Relation Matters for Face Recognition Distillation	Jiaheng Liu (Beihang University)*; Haoyu Qin (SenseTime); Yichao Wu (Sensetime Group Limited); Jinyang Guo (The University of Sydney); Ding Liang (Sensetime Group Limited); Ke Xu (Beihang University)	N/A	N/A
Collaborating Domain-shared and Target-specific Feature Clustering for Cross-domain 3D Action Recognition	Qinying Liu (University of Science and Technology of China); Zilei Wang (University of Science and Technology of China)*	N/A	N/A
Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation	Tong Wu (Beijing Institute of Technology); Guangyu Ryan Gao (Beijing Institute of Technology)*; junshi huang (Meituan); Xiaolin Wei (Meituan); Xiaoming Wei (Meituan); Chi Harold Liu (Beijing Institute of Technology)	N/A	N/A
Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement	Junuk Cha (UNIST)*; Muhammad Saqlain (Ulsan National Institute of Science and Technology); GeonU Kim (UNIST); Mingyu Shin (ULSAN NATIONAL INSTITUTE OF SCIENCE AND TECHNOLOGY); Seungryul Baek (UNIST)	N/A	N/A
Explaining Deepfake Detection by Analysing Image Matching	Shichao Dong (Megvii); Jin Wang (Megvii); Haoqiang Fan (Megvii Inc（face++）); Jiajun Liang (Megvii); Renhe Ji (Megvii)*	N/A	N/A
L-CoDer: Language-based Colorization with Color-object Decoupling Transformer	Zheng Chang (Beijing University of Posts and Telecommunications); Shuchen Weng (Peking University)*; Yu Li (International Digital Economy Academy); Si Li (Beijing University of Posts and Telecommunications); Boxin Shi (Peking University)	N/A	N/A
GitNet: Geometric Prior-based Transformation for Birds-Eye-View Segmentation	Shi Gong (Huazhong University of Science and Technology); Xiaoqing Ye (Baidu Inc.); Xiao Tan (Baidu Inc.); Jingdong Wang (Baidu); Errui Ding (Baidu Inc.); Yu Zhou (Huazhong University of Science and Technology)*; Xiang Bai (Huazhong University of Science and Technology)	N/A	N/A
Unsupervised Deep Multi-Shape Matching	Dongliang Cao (Technical University of Munich); Florian Bernard (University of Bonn)*	N/A	N/A
GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality	Junhao Liang (Southern University of Science and Technology in China)*; Chao Fan (SUSTech); Saihui Hou (Beijing Normal University); Chuanfu Shen (Southern University of Science and Technology); Yongzhen Huang (School of Artificial Intelligence, Beijing Normal University); Shiqi Yu (Southern University of Science and Technology)	N/A	N/A
EAutoDet: Efficient Architecture Search for Object Detection	Xiaoxing Wang (Shanghai Jiao Tong University); Jiale Lin (Shanghai Jiao Tong University); Juanping Zhao (Guangdong OPPO Mobile Telecommunications Co., Ltd.); Xiaokang Yang (Shanghai Jiao Tong University of China); Junchi Yan (Shanghai Jiao Tong University)*	N/A	N/A
A Max-Flow based Approach for Neural Architecture Search	Chao Xue (beijing university of posts and telecommunications)*; Xiaoxing Wang (Shanghai Jiao Tong University); Junchi Yan (Shanghai Jiao Tong University); Chun-Guang Li (Beijing University of Posts & Telecommunications)	N/A	N/A
Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding	Jiachang Hao (Beijing University of Posts and Telecommunications)*; Haifeng Sun (Beijing university of posts and telecommunications); Pengfei Ren (Beijing University of Posts and Telecommunications); Jingyu Wang (Beijing University of Posts and Telecommunications); Qi Qi (Beijing University of Posts and Telecommunications); Jianxin Liao (beijing university of posts and telecommunications)	N/A	N/A
tSF: Transformer-based Semantic Filter for Few-Shot Learning	Jinxiang Lai (Tencent)*; Siqian Yang (Tencent); Wenlong Liu (Tencent); Yi Zeng (Tencent); Zhongyi Huang (Tencent); Wenlong Wu (Tencent); Jun Liu (Tencent); Bin-Bin Gao (Tencent); Chengjie Wang (Tencent; Shanghai Jiao Tong University)	N/A	N/A
Dense Gaussian Processes for Few-Shot Segmentation	Joakim Johnander (Linköping University)*; Johan Edstedt (Linköping University); Fahad Shahbaz Khan (MBZUAI); Michael Felsberg (Linköping University); Martin Danelljan (ETH Zurich)	N/A	N/A
Adversarial Feature Augmentation for Cross-domain Few-shot Classification	Yanxu Hu (Sun Yat-sen University); Andy J Ma (Sun Yat-sen University)*	N/A	N/A
Real-Time Neural Character Rendering with Pose-Guided Multiplane Images	Hao Ouyang (HKUST)*; Bo Zhang (Microsoft Research Asia); Pan Zhang (Shanghai AI Laboratory); Hao Yang (Microsoft Research Asia); Dong Chen (Microsoft Research Asia); Jiaolong Yang (Microsoft Research); Qifeng Chen (HKUST); Fang Wen (Microsoft Research Asia )	N/A	N/A
Constructing Balance from Imbalance for Long-tailed Image Recognition	Yue Xu (Shanghai Jiao Tong University); Yong-Lu Li (Shanghai Jiao Tong University); Jiefeng Li (Shanghai Jiao Tong University); Cewu Lu (Shanghai Jiao Tong University)*	N/A	N/A
SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Views	Xiaoxiao Long (The University of Hong Kong)*; Cheng Lin (Tencent); Peng Wang (The University of Hong Kong); Taku Komura (The University of Hong Kong); Wenping Wang (The University of Hong Kong)	N/A	N/A
Dual Perspective Network for Audio Visual Event Localization	Varshanth Rao (Huawei Technologies)*; Md Ibrahim Khalil (Huawei Noah’s Ark Laboratory); Haoda Li (University of California, Berkeley); Peng Dai (Huawei Technologies Inc.Canada); Juwei Lu (Huawei Noah’s Ark Lab)	N/A	N/A
SiamDoGe: Domain Generalizable Semantic Segmentation using Siamese Network	Zhenyao Wu (University of South Carolina)*; Xinyi Wu (University of South Carolina); Xiaoping Zhang (Wuhan University); Song Wang (University of South Carolina); Lili Ju (University of South Carolina)	N/A	N/A
Is Appearance Free Action Recognition Possible?	Filip Ilic (Graz University of Technology)*; Rick Wildes (York University); Thomas Pock (Graz University of Technology)	N/A	N/A
Detecting Twenty-thousand Classes using Image-level Supervision	Xingyi Zhou (The University of Texas at Austin)*; Rohit Girdhar (Facebook AI Research); Armand Joulin (Facebook AI Research); Philipp Kraehenbuehl (UT Austin); Ishan Misra (Facebook AI Research)	N/A	N/A
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation	Hongyang Li (South China University of Technology)*; Jiehong Lin (South China University of Technology); Kui Jia (South China University of Technology)	N/A	N/A
Learning Cross-Video Neural Representations for High-Quality Frame Interpolation	Wentao Shangguan (Washington University in St Louis); Yu Sun (Washington University in St. Louis); Weijie Gan (Washington University in St. Louis); Ulugbek S. Kamilov (Washington University in St. Louis)*	N/A	N/A
Learning Visibility for Robust Dense Human Body Estimation	Chun-Han Yao (University of California at Merced)*; Jimei Yang (Adobe); Duygu Ceylan (Adobe Research); Yi Zhou (Adobe Research); Yang Zhou (Adobe Research); Ming-Hsuan Yang (University of California at Merced)	N/A	N/A
Texturify: Generating Textures on 3D Shape Surfaces	Yawar Siddiqui (Technical University of Munich)*; Justus Thies (Max Planck Institute for Intelligent Systems); Fangchang Ma (Apple Inc.); Qi Shan (Apple Inc.); Matthias Niessner (Technical University of Munich); Angela Dai (Technical University of Munich)	N/A	N/A
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning	Xudong Wang (UC Berkeley / ICSI); Long Lian (UC Berkeley / ICSI); Stella X Yu (UC Berkeley / ICSI)*	N/A	N/A
Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly	Spencer Whitehead (Meta AI)*; Suzanne Petryk (UC Berkeley); Vedaad Shakib (UC Berkeley); Joseph E Gonzalez (UC Berkeley); Trevor Darrell (UC Berkeley); Anna Rohrbach (UC Berkeley); Marcus Rohrbach (Facebook AI Research)	N/A	N/A
Studying Bias in GANs through the Lens of Race	Vongani H Maluleke (University of California, Berkeley); Neerja Thakkar (University of California, Berkeley)*; Tim Brooks (UC Berkeley); Ethan Weber (UC Berkeley); Trevor Darrell (UC Berkeley); Alexei A Efros (UC Berkeley); Angjoo Kanazawa (University of California Berkeley); Devin Guillory (UC Berkeley)	N/A	N/A
On Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization and Beyond	Yuzhe Yang (MIT)*; Hao Wang (Rutgers University); Dina Katabi (Massachusetts Institute of Technology)	N/A	N/A
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth	Ziyue Feng (Clemson University)*; Liang Yang (Apple Inc); Longlong Jing (Waymo LLC); Haiyan Wang (The City College of New York); YingLi Tian (City University of New York); Bing Li (Clemson University)	N/A	N/A
Autoregressive 3D Shape Generation via Canonical Mapping	An-Chieh Cheng (National Tsing Hua University); Xueting Li (University of California, Merced); Sifei Liu (NVIDIA)*; Min Sun (NTHU); Ming-Hsuan Yang (University of California at Merced)	N/A	N/A
Learning Continuous Implicit Representation for Near-Periodic Patterns	Bowei Chen (CMU)*; Tiancheng Zhi (ByteDance); Martial Hebert (cmu); Srinivasa Narasimhan (Carnegie Mellon University, USA)	N/A	N/A
Robust Landmark-based Stent Tracking in X-ray Fluoroscopy	Luojie Huang (Johns Hopkins Uniersity); Yikang Liu (United Imaging Intelligence America); Li Chen (University of Washington); Eric Z. Chen (United Imaging Intelligence America); Xiao Chen (United Imaging Intelligence America); Shanhui Sun (United Imaging Intelligence America)*	N/A	N/A
Depth Field Networks for Generalizable Multi-view Scene Representation	Vitor Guizilini (Toyota Research Institute)*; Igor Vasiljevic (Toyota Research Institute); Jiading Fang (Toyota Technological Institute at Chicago); Rareș A Ambruș (Toyota Research Institute); Greg Shakhnarovich (Toyota Technological Institute at Chicago); Matthew Walter (Toyota Technological Institute at Chicago); Adrien Gaidon (Toyota Research Institute)	N/A	N/A
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation	Simone Rossetti (Sapienza University); Damiano Zappia (Deepplants S.r.l.); Marta Sanzari (Sapienza University of Rome); Marco Schaerf (Sapienza University of Rome); fiora pirri (University of Rome, Sapienza)*	N/A	N/A
GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features	Van-Quang Nguyen (Tohoku University)*; Masanori Suganuma (Tohoku University / RIKEN AIP); Takayuki Okatani (Tohoku University/RIKEN AIP)	N/A	N/A
Learning Semantic Correspondence with Sparse Annotations	Shuaiyi Huang (University of Maryland, College Park)*; Luyu Yang (University of Maryland, College Park); Bo He (University of Maryland); Songyang Zhang (Shanghai AI Laboratory); Xuming He (ShanghaiTech University); Abhinav Shrivastava (University of Maryland)	N/A	N/A
A Real World Dataset for Multi-view 3D Reconstruction	Rakesh Shrestha (Simon Fraser University)*; Siqi Hu (Alibaba damo academy); Minghao Gou (Shanghai Jiao Tong University); Ziyuan Liu (Huawei group); Ping Tan (Simon Fraser University)	N/A	N/A
Social ODE: Multi-Agent Trajectory Forecasting with Neural Ordinary Differential Equations	Song Wen (Rutgers University)*; Hao Wang (Rutgers University); Dimitris N. Metaxas (Rutgers)	N/A	N/A
3D Instances as 1D Kernels	Yizheng Wu (Huazhong Univ. of Sci.&Tech.); Min Shi (Huazhong University of Science and Technology); Shuaiyuan Du (Huazhong Univ. of Sci.&Tech. ); Hao Lu (Huazhong University of Science and Technology); Zhiguo Cao (Huazhong Univ. of Sci.&Tech.)*; Weicai Zhong (Huawei CBG Consumer Cloud Service Big Data Platform Dept.)	N/A	N/A
Context-Aware Streaming Perception in Dynamic Environments	Gur-Eyal Sela (UC Berkeley)*; Ionel Gog (UC Berkeley); Justin Wong (UC Berkeley); Kumar Krishna Agrawal (UC Berkeley); Xiangxi Mo (UC Berkeley); Sukrit Kalra (UC Berkeley); Peter Schafhalter (UC Berkeley); Eric Leong (UC Berkeley); Xin Wang (Microsoft Research); Bharathan Balaji (Amazon); Joseph E Gonzalez (UC Berkeley); Ion Stoica (UC Berkeley)	N/A	N/A
PointTree: Transformation-Robust Point Cloud Encoder with Relaxed K-D Trees	Jun-Kun Chen (University of Illinois at Urbana-Champaign)*; Yu-Xiong Wang (University of Illinois at Urbana-Champaign)	N/A	N/A
Dense Siamese Network for Dense Unsupervised Learning	Wenwei Zhang (NTU)*; Jiangmiao Pang (CUHK); Kai Chen (SenseTime Research); Chen Change Loy (Nanyang Technological University)	N/A	N/A
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction	Hu Wang (the University of Adelaide)*; Jianpeng Zhang (Northwestern Polytechnical University); Yuanhong Chen (University of Adelaide); Congbo Ma (The University of Adelaide); Jodie C Avery (University of Adelaide); Mary L Hull (University of Adelaide); Gustavo Carneiro (University of Adelaide)	N/A	N/A
Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation	Shiji Zhao (Beihang University); Jie Yu (Beihang University); Zhenlong Sun (Tencent Technology Co.Ltd); Bo Zhang (WeChat Search Application Department, Tencent); Xingxing Wei (Beihang University)*	N/A	N/A
End-to-end graph-constrained vectorized floorplan generation with panoptic refinement	Jiachen Liu (Pennsylvania State University)*; Yuan Xue (Johns Hopkins University); Jose P. Duarte (Penn State University); Krishnendra Shekhawat (BITS Pilani); Zihan Zhou (Manycore Tech Inc.); Sharon Xiaolei Huang (The Pennsylvania State University)	N/A	N/A
Context Enhanced Stereo Transformer	weiyu Guo (University of Chinese Academy of Sciences)*; Zhaoshuo Li (Johns Hopkins University); Yongkui Yang (Shenzhen Institute of Advanced Technology，Chinese Academy of Sciences); Zheng Wang (Shenzhen Institutes of Advanced Technology); Russ Taylor (Johns Hopkins University); Mathias Unberath (Johns Hopkins University); Alan Yuille (Johns Hopkins University); Yingwei Li (Johns Hopkins University)	N/A	N/A
NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition	Boyang Xia (Institute of Computing Technology, Chinese Academy of Science); Wenhao Wu (Baidu)*; Haoran Wang (Baidu); RUI SU (the University of Sydney); Dongliang He (Baidu); Haosen Yang (Harbin Institute of Technology); Xiaoran Fan (Institute of Computing Technology, Chinese Academy of Sciences); Wanli Ouyang (The University of Sydney)	N/A	N/A
Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning	Yuxiao Chen (Rutgers University)*; Long Zhao (Google Research); Jianbo Yuan (Bytedance); Yu Tian (Rutgers); zhaoyang xia (Rutgers University); Shijie Geng (Rutgers University); Ligong Han (Rutgers University); Dimitris N. Metaxas (Rutgers)	N/A	N/A
Few-Shot Video Object Detection	Qi Fan (HKUST)*; Chi-Keung Tang (Hong Kong University of Science and Technology); Yu-Wing Tai (Kuaishou Technology / HKUST)	N/A	N/A
Improving the Reliability for Confidence Estimation	Haoxuan Qu (Singapore University of Technology and Design)*; Yanchao Li (Singapore University of Technology and Design); Lin Geng Foo (Singapore University of Technology and Design); Jason Kuen (Adobe Research); Jiuxiang Gu (Adobe Research); Jun Liu (Singapore University of Technology and Design)	N/A	N/A
Selective Query-guided Debiasing for Video Corpus Moment Retrieval	Sunjae Yoon (KAIST)*; Ji Woo Hong (KAIST); Eunseop Yoon (KAIST); DaHyun Kim (KAIST); Junyeong Kim (Chung-Ang University); Hee Suk Yoon (KAIST); Chang D. Yoo (KAIST)	N/A	N/A
Posterior Refinement on Metric Matrix Improves Generalization in Metric Learning	Mingda Wang (Shanghai Jiao Tong University); Canqian Yang (Shanghai Jiao Tong University); Yi Xu (Shanghai Jiao Tong University)*	N/A	N/A
DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation	Yilin Wen (The University of Hong Kong)*; Xiangyu Li (Brown University); Hao Pan (Microsoft Research); Lei Yang (The University of Hong Kong); Zheng Wang (SUSTech); Taku Komura (The University of Hong Kong); Wenping Wang (The University of Hong Kong)	N/A	N/A
Few-shot Image Generation with Mixup-based Distance Learning	Chaerin Kong (Seoul National University); Jeesoo Kim (Naver Webtoon AI); Donghoon Han (Seoul National University); Nojun Kwak (Seoul National University)*	N/A	N/A
Data-Free Neural Architecture Search via Recursive Label Calibration	Zechun Liu (Carnegie Mellon University); Zhiqiang Shen (Carnegie Mellon University)*; Yun Long (Google); Eric Xing (MBZUAI, CMU, and Petuum Inc.); Kwang-Ting Cheng (Hong Kong University of Science and Technology); Chas H Leichner (Google)	N/A	N/A
Distilling Object Detectors With Global Knowledge	Sanli Tang (Hikvision Research Institute); Zhongyu Zhang (Hikvision Research Institute); Zhanzhan Cheng (Zhejiang University & Hikvision Research Institute)*; Jing Lu (Hikvision Research Institute); Yunlu Xu (Hikvision Research Institute); Yi Niu (Hikvision Research Institute); Fan He (Shanghai Jiao Tong University)	N/A	N/A
NEST: Neural Event Stack for Event-based Image Enhancement	Minggui Teng (Peking University)*; Chu Zhou (Peking University); Hanyue Lou (Peking University); Boxin Shi (Peking University)	N/A	N/A
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation	Jie Qin (School of Artificial Intelligence, University of Chinese Academy of Sciences; Institute of Automation，Chinese Academy of Sciences)*; Jie Wu (ByteDance Inc); Ming Li (Xiamen University); Xuefeng Xiao (ByteDance Inc); Min Zheng (ByteDance); Xingang Wang (Institute of Automation, CAS)	N/A	N/A
A Style-Based GAN Encoder for High Fidelity Reconstruction of Images and Videos	Xu YAO (Telecom ParisTech)*; Alasdair Newson (Telecom Paris); Yann Gousseau (Telecom Paris); PIERRE HELLIER (Interdigital (Technicolor))	N/A	N/A
Unifying Visual Perception by Dispersible Points Learning	Jianming Liang (Beihang University)*; Guanglu Song (Sensetime); Biao Leng (Beihang University); Yu Liu (SenseTime Group LTD)	N/A	N/A
Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes	Haolin Liu (The Chinese University of Hong Kong, Shenzhen)*; Yujian Zheng (The Chinese University of Hong Kong, Shenzhen); Guanying CHEN (The Chinese University of Hong Kong, Shenzhen); Shuguang Cui (The Chinese University of Hong Kong, Shenzhen ); Xiaoguang Han (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen))	N/A	N/A
Multimodal Transformer for Automatic 3D Annotation and Object Detection	Chang Liu (The University of Hong Kong)*; Xiaoyan QIAN (The University of Hong Kong); Binxiao Huang (The University of Hong Kong); Xiaojuan Qi (The University of Hong Kong); Edmund Lam (The University of Hong Kong); Siew-Chong Tan (Nil); Ngai Wong (The University of Hong Kong)	N/A	N/A
SP-Net: Slowly Progressing Dynamic Inference Networks	Huanyu Wang (Zhejiang University)*; Wenhu Zhang (Zhejiang University); Shihao Su (Zhejiang University); Hui Wang (Zhejiang University); Zhenwei Miao (DAMO Academy, Alibaba Group); Xin Zhan (DAMO Academy, Alibaba Group); Xi Li (Zhejiang University)	N/A	N/A
No Token Left Behind: Explainability-Aided Image Classification and Generation	Roni Paiss (Tel Aviv University, Google); Hila Chefer (Tel Aviv University)*; Lior Wolf (Tel Aviv University, Israel)	N/A	N/A
Dynamically Transformed Instance Normalization Network for Generalizable Person Re-Identification	BingLiang Jiao (Northwestern Polytechnical University ); Lingqiao Liu (University of Adelaide); Liying Gao ( Northwestern Polytechnical University); Guosheng Lin (Nanyang Technological University); Lu Yang (Northwestern Polytechnical University); Shizhou Zhang (NorthWestern Polytechnical University); Peng Wang (Northwestern Polytechnical University)*; Yanning Zhang (Northwestern Polytechnical University)	N/A	N/A
Editable Indoor Lighting Estimation	Henrique Weber (Université Laval)*; Mathieu Garon (Depix); Jean-Francois Lalonde (Université Laval)	N/A	N/A
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection	Gang Li (Nanjing University of Science and Technology)*; Xiang Li (Nanjing University of Science and Technology); Yujie Wang (Sensetime Research); Yichao Wu (Sensetime Group Limited); Ding Liang (Sensetime Group Limited); Shanshan Zhang (Max Planck Institute for Informatics)	N/A	N/A
CompNVS: Novel View Synthesis with Scene Completion	Zuoyue Li (ETH Zurich)*; Tianxing Fan (Zhejiang University); Zhenqiang Li (The University of Tokyo); Zhaopeng Cui (Zhejiang University); Yoichi Sato (University of Tokyo); Marc Pollefeys (ETH Zurich / Microsoft); Martin R. Oswald (ETH Zurich)	N/A	N/A
Dynamic 3D Scene Analysis by Point Cloud Accumulation	Shengyu Huang (ETH Zürich)*; Zan Gojcic (NVIDIA); Jiahui Huang (Tsinghua University); Andreas Wieser (ETH Zürich); Konrad Schindler (ETH Zurich)	N/A	N/A
FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs	Ziqiang Li (University of Science and Technology of China)*; Chaoyue Wang (JD.com); Heliang Zheng (JD Explore Academy, JD.com); Jing Zhang (The University of Sydney); Bin Li (University of Science and Technology of China)	N/A	N/A
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction	Chia-Chi Chuang (Tsinghua University); Donglin Yang (Tsinghua University); Chuan Wen (Tsinghua University)*; Yang Gao (Tsinghua University)	N/A	N/A
REALY: Rethinking the Evaluation of 3D Face Reconstruction	Zenghao Chai (Tsinghua University); Haoxian Zhang (Tencent); Jing Ren (ETH Zurich); Di Kang (Tencent); Zhengzhuo Xu (Tsinghua University); Xuefei Zhe (Tencent AI lab); Chun Yuan (Graduate school at ShenZhen，Tsinghua university); Linchao Bao (Tencent AI Lab)*	N/A	N/A
TransMatting: Enhancing Transparent Objects Matting with Transformers	huanqia cai (University of Chinese Academy of Sciences)*; Fanglei Xue (University of Chinese Academy of Sciences); Lele Xu (Key Laboratory of Space Utilization, Technology and Engineering Center for space Utilization, Chinese Academy of Sciences.); lili guo (Key Laboratory of Space Utilization, Technology and Engineering Center for space Utilization, Chinese Academy of Sciences. )	N/A	N/A
Diverse Image Inpainting with Normalizing Flow	Cairong Wang (Graduate school at Shenzhen, Tsinghua University)*; Yiming M Zhu (Graduate school at ShenZhen，Tsinghua university); Chun Yuan (Graduate school at ShenZhen，Tsinghua university)	N/A	N/A
Video Activity Localisation with Uncertainties in Temporal Boundary	Jiabo Huang (Queen Mary University of London)*; Hailin Jin (Adobe Research); Shaogang Gong (Queen Mary University of London); Yang Liu (Peking University)	N/A	N/A
SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling	Chenjian Gao (Beihang University); Qian Yu (Beihang University)*; Lu Sheng (Beihang University); Yi-Zhe Song (University of Surrey); Dong Xu (The University of Hong Kong)	N/A	N/A
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection	Ziteng Cui (The University of Tokyo); Yingying Zhu (University of Texas Arlington); Lin Gu (RIKEN，AIP / The University of Tokyo)*; Guo-Jun Qi (Futurewei Technologies); Xiaoxiao Li (The University of British Columbia); Renrui Zhang (Shanghai AI Lab); Zenghui Zhang (Shanghai Jiao Tong university); Tatsuya Harada (The University of Tokyo / RIKEN)	N/A	N/A
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation	Feng Wang (Tsinghua University)*; Huiyu Wang (JHU); Chen Wei (Johns Hopkins University); Alan Yuille (Johns Hopkins University); Wei Shen (Shanghai Jiao Tong University)	N/A	N/A
Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion	Zhengqi Gao (MIT)*; Fan-Keng Sun (MIT); Mingran Yang (MIT); Sucheng Ren (South China University of Technology); Zikai Xiong (Massachusetts Institute of Technology); Marc Engeler (Takeda); Antonio Burazer (Takeda); Linda Wildling (Takeda Pharmaceuticals International AG); Luca Daniel (Massachusetts Institute of Technology); Duane Boning (MIT)	N/A	N/A
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features	Wufei Ma (Purdue University)*; Angtian Wang (Johns Hopkins University); Alan Yuille (Johns Hopkins University); Adam Kortylewski (Max Planck Institute for Informatics)	N/A	N/A
A Unified Framework for Domain Adaptive Pose Estimation	Donghyun Kim (MIT-IBM Watson AI Lab)*; Kaihong Wang (Boston University); Stan Sclaroff (Boston University); Margrit Betke (Boston University); Kate Saenko (Boston University)	N/A	N/A
A Broad Study of Pre-training for Domain Generalization and Adaptation	Donghyun Kim (MIT-IBM Watson AI Lab)*; Kaihong Wang (Boston University); Stan Sclaroff (Boston University); Kate Saenko (Boston University)	N/A	N/A
BlobGAN: Spatially Disentangled Scene Representations	Dave Epstein (UC Berkeley)*; Taesung Park (Adobe Research); Richard Zhang (Adobe); Eli Shechtman (Adobe Research, US); Alexei A Efros (UC Berkeley)	N/A	N/A
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity	Martin Gubri (University of Luxembourg)*; Maxime Cordy (University of Luxembourg); Mike Papadakis (University of Luxembourg); Yves Le Traon (University of Luxembourg); Koushik Sen (University of California, Berkeley)	N/A	N/A
LocalBins: Improving Depth Estimation by Learning Local Distributions	Shariq F Bhat (KAUST)*; Ibraheem Alhashim (National Center for Artificial Intelligence (NCAI), Saudi Data and Artificial Intelligence Authority (SDAIA), Riyadh, Kingdom of Saudi Arabia); Peter Wonka (KAUST)	N/A	N/A
Prior Knowledge Guided Unsupervised Domain Adaptation	Tao Sun (Stony Brook University)*; Cheng Lu (Xiaopeng); Haibin Ling (Stony Brook University)	N/A	N/A
Fast Two-step Blind Optical Aberration Correction	Thomas Eboli (ENS Paris-Saclay)*; Jean-Michel Morel (Centre Borelli ENS Paris-Saclay); Gabriele Facciolo (ENS Paris – Saclay)	N/A	N/A
Controllable and Guided Face Synthesis for Unconstrained Face Recognition	Feng Liu (Michigan State University)*; Minchul Kim (Michigan State University); Anil Jain (Michigan State University); Xiaoming Liu (Michigan State University)	N/A	N/A
2D GANs Meet Unsupervised Single-view 3D Reconstruction	Feng Liu (Michigan State University)*; Xiaoming Liu (Michigan State University)	N/A	N/A
Seeing Far in the Dark with Patterned Flash	Zhanghao Sun (Stanford University)*; Jian Wang (Snap); Yicheng Wu (Snap Inc.); Shree Nayar (Snap)	N/A	N/A
Unified Implicit Neural Stylization	Zhiwen Fan (University of Texas at Austin)*; Yifan Jiang (University of Texas at Austin); Peihao Wang (University of Texas at Austin); Xinyu Gong (University of Texas at Austin); Dejia Xu (University of Texas at Austin); Zhangyang Wang (University of Texas at Austin)	N/A	N/A
Improved Masked Image Generation with Token-Critic	Jose Lezama (Google Research)*; Huiwen Chang (Google); Lu Jiang (Google Research); Irfan Essa (Google)	N/A	N/A
UNIF: United Neural Implicit Functions for Clothed Human Reconstruction and Animation	Shenhan Qian (ShanghaiTech University)*; Jiale Xu (ShanghaiTech University); Ziwei Liu (Nanyang Technological University); Liqian Ma (ZMO AI); Shenghua Gao (Shanghaitech University)	N/A	N/A
PseudoClick: Interactive Image Segmentation with Click Imitation	Qin Liu (UNC)*; Meng Zheng (United Imaging Intelligence); Benjamin Planche (United Imaging Intelligence); Srikrishna Karanam (Adobe Research); Terrence Chen (United Imaging Intelligence); Marc Niethammer (UNC); Ziyan Wu (United Imaging Intelligence)	N/A	N/A
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One	Liyuan Wang (Tsinghua University)*; Xingxing Zhang (Tsinghua University); Qian Li (Tsinghua University); Jun Zhu (Tsinghua University); Yi Zhong (Tsinghua University)	N/A	N/A
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models	Xuxi Chen (University of Texas at Austin)*; Tianlong Chen (Unversity of Texas at Austin); Yu Cheng (Microsoft Research); Weizhu Chen (Microsoft); Ahmed Awadallah (Microsoft); Zhangyang Wang (University of Texas at Austin)	N/A	N/A
PRIF: Primary Ray-based Implicit Function	Brandon Yushan Feng (University of Maryland, College Park)*; Yinda Zhang (Google); Danhang Tang (Google); Ruofei Du (Google); Amitabh Varshney (University of Maryland)	N/A	N/A
From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution	Xiaoming Li (Harbin Institute of Technology); Chaofeng Chen (Nanyang Technological University); Xianhui Lin (Alibaba Group); Wangmeng Zuo (Harbin Institute of Technology, China)*; Lei Zhang (“Hong Kong Polytechnic University, Hong Kong, China”)	N/A	N/A
QISTA-ImageNet: A Deep Compressive Image Sensing Framework Solving Lq-Norm Optimization Problem	Gang-Xuan Lin (Academia Sinica); Shih-Wei Hu (National Taiwan University); Chun-Shien Lu (Academia Sinica)*	N/A	N/A
Trust, but Verify: Using Self-Supervised Probing to Improve Trustworthiness	Ailin Deng (National University of Singapore)*; Shen Li (National University of Singapore); Miao Xiong (National University of Singapore); Zhirui Chen (National University of Singapore); Bryan Hooi (National University of Singapore)	N/A	N/A
Spatial and Visual Perspective-Taking via View Rotation and Relation Reasoning for Embodied Reference Understanding	Cheng Shi (ShanghaiTech University); Sibei Yang (ShanghaiTech University)*	N/A	N/A
Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation	Wenxuan Wang (University of Science and Technology Beijing)*; Chen Chen (University of Central Florida); Jing Wang (University of Science and Technology Beijing); Sen Zha (University of Science and Technology Beijing); Yan Zhang (University of Science and Technology Beijing); Jiangyun Li (University of Science and Technology Beijing)	N/A	N/A
Worst Case Matters for Few-Shot Recognition	Minghao Fu (Nanjing University); Yunhao Cao (Nanjing University); Jianxin Wu (Nanjing University)*	N/A	N/A
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization	Qi Wei (Shandong University)*; Haoliang Sun (Shandong University); Xiankai Lu (Shandong University); Yilong Yin (Shandong University)	N/A	N/A
Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction	hanxue liang (University of Texas at Austin)*; Hehe Fan (NUS); Zhiwen Fan (University of Texas at Austin); Yi Wang (University of Texas at Austin); Tianlong Chen (Unversity of Texas at Austin); Yu Cheng (Microsoft Research); Zhangyang Wang (University of Texas at Austin)	N/A	N/A
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection	Maoxun Yuan (Beihang University); Yinyan Wang (BeiHaing University); Xingxing Wei (Beihang University)*	N/A	N/A
Simple Baselines for Image Restoration	Liangyu Chen (Megvii Technology)*; Xiaojie Chu (Megvii Technology); Xiangyu Zhang (Megvii Technology); Jian Sun (Megvii Technology)	N/A	N/A
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning	Yue Duan (Nanjing University)*; Lei Qi (Southeast University); Lei Wang (“University of Wollongong, Australia”); Luping Zhou (University of Sydney); Yinghuan Shi (Nanjing University)	N/A	N/A
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification	Kai Yi (King Abdullah University of Science and Technology)*; xiaoqian shen (King Abdullah University of Science and Technology); Yunhao Gou (Hong Kong University of Science and Technology); Mohamed Elhoseiny (KAUST)	N/A	N/A
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation	Zhitong Xiong (Techinical University of Munich)*; Haopeng Li (The University of Melbourne); Xiaoxiang Zhu (Technical University of Munich (TUM); German Aerospace Center (DLR))	N/A	N/A
MemSAC: Memory Augmented Sample Consistency for Large Scale Domain Adaptation	Tarun Kalluri (UC San Diego)*; Astuti Sharma (UCSD); Manmohan Chandraker (UC San Diego)	N/A	N/A
GCISG: Guided Causal Invariant Learning for Improved Syn-to-real Generalization	Gilhyun Nam (Agency for Defense Development)*; Gyeongjae Choi (Agency for Defense Development); Kyungmin Lee (Agency for Defense Development)	N/A	N/A
Temporal Saliency Query Network for Efficient Video Recognition	Boyang Xia (Institute of Computing Technology, Chinese Academy of Science); Zhihao Wang (Institute of Computing Technology, Chinese Academy of Sciences); Wenhao Wu (Baidu)*; Haoran Wang (Baidu); Jungong Han (Aberystwyth University)	N/A	N/A
Towards Interpretable Video Super-Resolution via Alternating Optimization	Jiezhang Cao (ETH Zürich)*; Jingyun Liang (ETH Zurich); Kai Zhang (ETH Zurich); Wenguan Wang (Eidgenössische Technische Hochschule Zürich); Qin Wang (ETH Zurich); Yulun Zhang (ETH Zurich); Hao Tang (ETH Zurich); Luc Van Gool (ETH Zurich)	N/A	N/A
R-DFCIL: Relation-Guided Representation Learning for Data-Free Class Incremental Learning	Qiankun Gao (Peking University Shenzhen Graduate School)*; Chen Zhao (KAUST); Bernard Ghanem (KAUST); Jian Zhang (Peking University Shenzhen Graduate School)	N/A	N/A
Spike Transformer: Monocular Depth Estimation for Spiking Camera	Jiyuan Zhang (Peking University)*; Lulu Tang (Tsingua University); Zhaofei Yu (Peking University); Jiwen Lu (Tsinghua University); Tiejun Huang (Peking University)	N/A	N/A
Towards Robust Face Recognition with Comprehensive Search	Manyuan Zhang (Sensetime)*; Guanglu Song (Sensetime); Yu Liu (SenseTime Group LTD); Hongsheng Li (The Chinese University of Hong Kong)	N/A	N/A
Improving Image Restoration by Revisiting Global Information Aggregation	Xiaojie Chu (Megvii Technology)*; Liangyu Chen (Megvii Technology); Chengpeng Chen (Megvii); Xin Lu (Megvii Technology)	N/A	N/A
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction	Inhwan Bae (Gwangju Institute of Science and Technology)*; Jin-Hwi Park (GIST); Hae-Gon Jeon (GIST)	N/A	N/A
RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection	Chang Xu (Wuhan University); Jinwang Wang (Huawei Technoloty); Wen Yang (Wuhan University)*; Huai Yu (Wuhan University); Lei Yu (Wuhan University); Gui-Song Xia (Wuhan University)	N/A	N/A
Semi-supervised Single-view 3D Reconstruction via Prototype Shape Priors	Zhen Xing (Fudan University)*; Hengduo Li (University of Maryland, College Park ); Zuxuan Wu (UMD); Yu-Gang Jiang (Fudan University)	N/A	N/A
Sequential Multi-View Fusion Network for Fast LiDAR Point Motion Estimation	Gang Zhang (Damo Academy, Alibaba Group)*; Xiaoyan Li (Beijing University of Technology); Zhenhua Wang (DAMO Academy, Alibaba Group)	N/A	N/A
A Large-scale Multiple-objective Method for Black-box Attack against Object Detection	Siyuan Liang (Chinese Academy of Sciences); Longkang Li (Mohamed bin Zayed University of Artificial Intelligence); Yanbo Fan (Tencent AI Lab); Xiaojun Jia (Institute of Information Engineering，Chinese Academy of Sciences); Jingzhi Li (Institute of information engineering, CAS); Baoyuan Wu (The Chinese University of Hong Kong, Shenzhen)*; Xiaochun Cao (Sun Yat-sen University)	N/A	N/A
GradAuto: Energy-oriented Attack on Dynamic Neural Networks	Jianhong Pan (Singapore University of Technology and Design)*; Qichen Zheng (Singapore University of Technology and Design); Zhipeng Fan (NYU TANDON SCHOOL OF ENGINEERING); Hossein Rahmani (Lancaster University); Qiuhong Ke (Monash University); Jun Liu (Singapore University of Technology and Design)	N/A	N/A
Semantic-guided Multi-Mask Image Harmonization	Xuqian Ren (Watrix Technology); Yifan Liu (University of Adelaide)*	N/A	N/A
Manifold Adversarial Learning for Cross-domain 3D Shape Representation	Hao Huang (New York University); Cheng Chen (New York University); Yi Fang (New York University)*	N/A	N/A
GAN with Multivariate Disentangling for Controllable Hair Editing	Xuyang Guo (Institute of Computing Technology, Chinese Academy of Sciences); Meina Kan (Institute of Computing Technology, Chinese Academy of Sciences); Tianle Chen (Institute of Computing Technology, Chinese Academy of Sciences); Shiguang Shan (Institute of Computing Technology, Chinese Academy of Sciences)*	N/A	N/A
Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches	Yuanzheng Ci (The University of Sydney)*; Chen Lin (University of Oxford); Lei Bai (Shanghai AI Laboratory); Wanli Ouyang (The University of Sydney)	N/A	N/A
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation	Xinyu Shi (School of Computer Science and Engineering, Southeast University); DONG WEI (Tencent Jarvis Lab)*; Yu Zhang (Southeast University); Donghuan Lu (Tencent); Munan Ning (Tencent); Jiashun Chen (School of Computer Science and Engineering, Southeast University); Kai Ma (Tencent); Yefeng Zheng (Tencent)	N/A	N/A
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels	Donghao Zhou (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)*; Pengfei Chen (The Chinese University of Hong Kong); Qiong Wang (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Guangyong Chen (Shenzhen Institutes of Advanced Technology); Pheng-Ann Heng (The Chinese Univsersity of Hong Kong)	N/A	N/A
LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling	Boyan Jiang (Fudan University)*; Xinlin Ren (Fudan University); Mingsong Dou (Google Inc.); Xiangyang Xue (Fudan University); Yanwei Fu (Fudan University); Yinda Zhang (Google)	N/A	N/A
Bilateral Normal Integration	Xu Cao (Osaka University)*; Hiroaki Santo (Osaka University); Boxin Shi (Peking University); Fumio Okura (Osaka University); Yasuyuki Matsushita (Osaka University)	N/A	N/A
Harmonizer: Learning to Perform White-Box Image and Video Harmonization	Zhanghan Ke (City University of Hong Kong)*; Chunyi Sun (Australian National University ); Lei ZHU (City University of Hong Kong); Ke Xu (City University of Hong Kong); Rynson W.H. Lau (City University of Hong Kong)	N/A	N/A
On the Versatile Uses of Partial Distance Correlation in Deep Learning	Xingjian Zhen (University of Wisconsin-Madison)*; Zihang Meng (University of Wisconsin Madison); Rudrasis Chakraborty (Butlr); Vikas Singh (University of Wisconsin Madison)	N/A	N/A
Object-Centric Unsupervised Image Captioning	Zihang Meng (University of Wisconsin Madison)*; David Yang (Facebook); Xuefei Cao (Facebook); Ashish Shah (Facebook AI); Ser-Nam Lim (Meta AI)	N/A	N/A
Pose2Room: Understanding 3D Scenes from Human Activities	Yinyu Nie (Technical University of Munich)*; Angela Dai (Technical University of Munich); Xiaoguang Han (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen)); Matthias Niessner (Technical University of Munich)	N/A	N/A
Capturing, Reconstructing, and Simulating: the UrbanScene3D Dataset	Liqiang Lin (Shenzhen University); Yilin Liu (Shenzhen University); Yue Hu (Shenzhen University); Xingguang Yan (Shenzhen University); Ke Xie (Shenzhen University); Hui Huang (Shenzhen University)*	N/A	N/A
A Spectral View of Randomized Smoothing under Common Corruptions: Benchmarking and Improving Certified Robustness	Jiachen Sun (University of Michigan)*; Akshay Mehra (Tulane University); Bhavya Kailkhura (Lawrence Livermore National Laboratory); Pin-Yu Chen (IBM Research); Dan Hendrycks (UC Berkeley); Jihun Hamm (Tulane University); Zhuoqing Morley Mao (University of Michigan)	N/A	N/A
CLIP-Actor: Text-Driven Recommendation and Stylization for Animating Human Meshes	Kim Youwang (POSTECH)*; Ji-Yeon Kim (POSTECH); Tae-Hyun Oh (POSTECH)	N/A	N/A
Interpretable Image Classification with Differentiable Prototypes Assignment	Dawid Damian Rymarczyk (Jagiellonian University)*; Łukasz Struski (Jagiellonian University); Michał Górszczak (Jagiellonian University); Koryna Lewandowska (Jagiellonian University); Jacek Tabor (Jagiellonian University); Bartosz Zieliński (Jagiellonian University)	N/A	N/A
Efficient One-stage Video Object Detection by Exploiting Temporal Consistency	Guanxiong Sun (Queen’s University Belfast); Yang Hua (Queen’s University Belfast)*; Guosheng Hu (Oosto); Neil Robertson (Queen’s University Belfast)	N/A	N/A
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images	Jiawei Yang (UCLA)*; Hanbo Chen (Tencent AI Lab); Yuan Liang (UCLA); Junzhou Huang (University of Texas at Arlington); Lei He (UCLA); Jianhua Yao (National Institutes of Health)	N/A	N/A
Leveraging Action Affinity and Continuity for Semi-supervised Temporal Action Segmentation	Guodong Ding (National University of Singapore)*; Angela Yao (National University of Singapore)	N/A	N/A
Fast and High Quality Image Denoising via Malleable Convolution	Yifan Jiang (University of Texas at Austin)*; Bartlomiej Wronski (Google Research); Ben Mildenhall (Google Research); Jonathan T Barron (Google Research); Zhangyang Wang (University of Texas at Austin); Tianfan Xue (Google)	N/A	N/A
Data Association between Event Streams andIntensity Frames under Diverse Baselines	Dehao Zhang (Peking University)*; Qiankun Ding (Peking University); Peiqi Duan (Peking University); Chu Zhou (Peking University); Boxin Shi (Peking University)	N/A	N/A
Self-Regulated Feature Learning via Teacher-free Feature Distillation	Lujun Li (Chinese Academy of Science)*	N/A	N/A
TS2-Net: Token Shift and Selection Transformer for Text-Video Retrieval	Yuqi Liu (Renmin University of China)*; Pengfei Xiong (Shopee); luhui xu (tencent); Cao Shengming (Tencent); Qin Jin (Renmin University of China)	N/A	N/A
TAPE: Task-Agnostic Prior Embedding for Image Restoration	Lin Liu (University of Science and Technology of China)*; Lingxi Xie (Huawei Inc.); Xiaopeng Zhang (Noah’s Ark Lab, Huawei Inc.); Shanxin Yuan (Huawei Noah’s Ark Lab); Xiangyu Chen (University of Macau; SIAT); Wengang Zhou (University of Science and Technology of China); Houqiang Li (University of Science and Technology of China); Qi Tian (Huawei Cloud & AI)	N/A	N/A
MVSalNet:Multi-View Augmentation for RGB-D Salient Object Detection	JiaYuan Zhou (Dalian University of Technology)*; Lijun Wang (Dalian University of Technology); Huchuan Lu (Dalian University of Technology); Kaining Huang (huang kaining); Xinchu Shi (Meituan Group); Bocong Liu (Meituan)	N/A	N/A
Rethinking IoU-based Optimization for Single-stage 3D Object Detection	Hualian Sheng (College of Information Science and Electronic Engineering, Zhejiang University; DAMO Academy, Alibaba Group)*; Sijia Cai (DAMO Academy, Alibaba Group); Na Zhao (NUS); Bing Deng (Damo Academy, Alibaba Group); Jianqiang Huang (Damo Academy, Alibaba Group); Xian-Sheng Hua (Damo Academy, Alibaba Group); Min-Jian Zhao (Zhejiang University); Gim Hee Lee (National University of Singapore)	N/A	N/A
Uncertainty Inspired Underwater Image Enhancement	Zhenqi Fu (Xiamen University)*; Wu Wang (Xiamen University); Yue Huang (Xiamen University); Xinghao Ding (Xiamen University); Kai-Kuang Ma (Nanyang Technological University, Singapore)	N/A	N/A
k-means Mask Transformer	Qihang Yu (Johns Hopkins University)*; Huiyu Wang (JHU); Siyuan Qiao (Google); Maxwell D Collins (Google Inc.); Yukun Zhu (Google Inc.); Hartwig Adam (Google); Alan Yuille (Johns Hopkins University); Liang-Chieh Chen (Google Inc.)	N/A	N/A
Contrastive Vision-Language Pre-training with Limited Resources	Quan Cui (Waseda University)*; Boyan Zhou (ByteDance); Yu Guo (Fudan University); Weidong Yin (UBC); Hao Wu (Bytedance Inc.); Osamu Yoshie (Waseda University); Yubo Chen (Bytedance)	N/A	N/A
Learning Linguistic Association Towards Efficient Text-Video Retrieval	Sheng Fang (ICT); Shuhui Wang (VIPL,ICT,Chinese academic of science)*; Junbao Zhuo (ICT CAS); Xinzhe Han (University of Chinese Academy of Sciences); Qingming Huang (University of Chinese Academy of Sciences)	N/A	N/A
United Defocus Blur Detection and Deblurring via Adversarial Promoting Learning	Wenda Zhao (Dalian University of Technology)*; Fei Wei (Dalian University of Techology); You He (Naval Aviation University); Huchuan Lu (Dalian University of Technology)	N/A	N/A
Unstructured Feature Decoupling for Vehicle Re-Identification	Wen Qian (Institute of Automation, Chinese Academy of Sciences)*; Hao Luo (Alibaba group); Silong Peng (The Chinese academy of science); Fan Wang (Alibaba Group); Chen Chen (The Chinese academy of science); Hao Li (Alibaba Group)	N/A	N/A
Improving Adversarial Robustness of 3D Point Cloud Classification Models	Guanlin Li (Nanyang Technological University)*; Guowen Xu (Nanyang Technological University); Han Qiu (Tsinghua University); Ruan HE (Tencent); Jiwei Li (Shannon.AI); Tianwei Zhang (Nanyang Technological University)	N/A	N/A
ASSISTER: Assistive Navigation via Conditional Instruction Generation	Zanming Huang (Boston University); Zhongkai Shangguan (Boston University); Jimuyang Zhang (Boston University); Gilad Bar (Rutgers University – Camden); Matthew Boyd (Boston University); Eshed Ohn-Bar (Boston University)*	N/A	N/A
Deep Hash Distillation for Image Retrieval	Young Kyun Jang (Seoul National University)*; Geonmo Gu (NAVER corp); Byungsoo Ko (NAVER/LINE Corp.); Isaac Kang (Seoul National University); Nam Ik Cho (Seoul National University)	N/A	N/A
Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition	Ning Ma (Zhejiang University)*; Hongyi Zhang (Zhejiang University); Xuhui Li (Zhejiang University); Sheng Zhou (Zhejiang University); Zhen Zhang (National University of Singapore); Jun Wen (Harvard University); Haifeng Li (Zhejiang University); Jingjun Gu (Zhejiang University); Jiajun Bu (Zhejiang University)	N/A	N/A
Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation	Jian Zhang (Alibaba Group); Jinchi Huang (Alibaba Group); Bowen Cai (Alibaba Group); Huan Fu (Alibaba Group)*; Mingming Gong (University of Melbourne); Chaohui Wang (Laboratoire d’Informatique Gaspard Monge, Université Paris-Est); Jiaming Wang (Alibaba Group); Hongchen Luo (Alibaba Group); Rongfei Jia (Alibaba Group); Binqiang Zhao (Alibaba); Xing Tang (Alibaba Group)	N/A	N/A
S^2Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning	Tze Ho Elden Tse (University of Birmingham)*; Zhongqun Zhang (University of Birmingham); Kwang In Kim (UNIST); Ales Leonardis (University of Birmingham); Feng Zheng (SUSTech); Hyung Jin Chang (University of Birmingham)	N/A	N/A
TD-Road: Top-Down Road Network Extraction with Holistic Graph Construction	Yang He (Amazon)*; Ravi Garg (Amazon com services inc); Amber Roy Chowdhury (Amazon)	N/A	N/A
StyleGAN-Human: A Data-Centric Odyssey of Human Generation	Jianglin Fu (SenseTime)*; Shikai Li (SenseTime Research); Yuming Jiang (Nanyang Technological University); Kwan-Yee Lin (SenseTime Research); Chen Qian (SenseTime); Chen Change Loy (Nanyang Technological University); Wayne Wu (SenseTime Research); Ziwei Liu (Nanyang Technological University)	N/A	N/A
Hourglass Attention Network for Image Inpainting	Ye Deng (Xi’an Jiaotong University)*; Siqi Hui (Xi’an Jiaotong University); Rongye Meng (IAIR, Xi’an Jiaotong University); Sanping Zhou (Xi’an Jiaotong University); Jinjun Wang (Xi’an Jiaotong University)	N/A	N/A
MaxViT: Multi-Axis Vision Transformer	Zhengzhong Tu (University of Texas at Austin)*; Hossein Talebi (Google); Han Zhang (Google); Feng Yang (Google Research); Peyman Milanfar (Google); Alan Bovik (University of Texas at Austin); Yinxiao Li (Google)	N/A	N/A
Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images	Yuan Liu (The University of Hong Kong)*; Yilin Wen (The University of Hong Kong); Sida Peng (Zhejiang University); Cheng Lin (Tencent); Xiaoxiao Long (The University of Hong Kong); Taku Komura (The University of Hong Kong); Wenping Wang (The University of Hong Kong)	N/A	N/A
ColorFormer: Image Colorization via Color Memory assisted Hybrid-attention Transformer	Xiaozhong Ji (Tencent)*; Boyuan Jiang (Tencent Youtu Lab); Donghao Luo (Tencent); Guangpin Tao (Nanjing University); Wenqing Chu (Tencent); Zhifeng Xie (Shanghai University); Chengjie Wang (Tencent; Shanghai Jiao Tong University); Ying Tai (Tencent YouTu)	N/A	N/A
Spotting Temporally Precise, Fine-Grained Events in Video	James Hong (Stanford University)*; Haotian Zhang (Stanford University); Michaël Gharbi (Adobe Research); Matthew Fisher (Adobe Research); Kayvon Fatahalian (Stanford)	N/A	N/A
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness	Jindong Gu (University of Munich)*; Hengshuang Zhao (University of Oxford); Volker Tresp (Siemens AG and Ludwig Maximilian University of Munich ); Philip Torr (University of Oxford)	N/A	N/A
Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation	Sung-Hoon Yoon (KAIST)*; Hyeokjun Kweon (KAIST); Jegyeong Cho (KAIST); Shinjeong Kim (KAIST); Kuk-Jin Yoon (KAIST)	N/A	N/A
Semi-Supervised Vision Transformers	Zejia Weng (Fudan University)*; Xitong Yang (University of Maryland); Ang Li (Google DeepMind); Zuxuan Wu (UMD); Yu-Gang Jiang (Fudan University)	N/A	N/A
Learning an Isometric Surface Parameterization for Texture Unwrapping	Sagnik Das (Stony Brook University)*; Ke Ma (Stony Brook University); Zhixin Shu (Adobe Research); Dimitris Samaras (Stony Brook University)	N/A	N/A
Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification	BOQIANG XU (University of Chinese Academy of Sciences；Institute of Automation，Chinese Academy of Sciences)*; Jian Liang (CASIA); He Lingxiao (nlpr，cripac); Zhenan Sun (Chinese of Academy of Sciences)	N/A	N/A
CryoAI: Amortized Inference of Poses for Ab Initio Reconstruction of 3D Molecular Volumes from Real Cryo-EM Images	Axel Levy (Stanford University); Frederic Poitevin (SLAC National Accelerator Laboratory); Julien N. P. Martel (Stanford University); Youssef Nashed (SLAC National Accelerator Laboratory); Ariana Peck (SLAC National Accelerator Laboratory); Nina Miolane (UCSB); Daniel Ratner (Stanford University ); Mike Dunne (SLAC National Accelerator Laboratory); Gordon Wetzstein (Stanford University)*	N/A	N/A
EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs	Guohao Ying (University of Southern California); Xin He (Hong Kong Baptist University); Bin Gao (National University of Singapore); Bo Han (HKBU / RIKEN); Xiaowen Chu (Hong Kong University of Science and Technology)*	N/A	N/A
ScalableViT: Rethinking the Context-oriented Generalization of Vision Transformer	Rui Yang (Tsinghua University)*; Hailong Ma (ByteDance Inc); Jie Wu (ByteDance Inc); Yansong Tang (Tsinghua University); Xuefeng Xiao (ByteDance Inc); Min Zheng (ByteDance); Xiu Li (Tsinghua University)	N/A	N/A
PlaneFormers: From Sparse View Planes to 3D Reconstruction	Samir Agarwala (University of Michigan)*; Linyi Jin (University of Michigan); Chris Rockwell (University of Michigan); David Fouhey (University of Michigan)	N/A	N/A
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision	Yun Xing (Nanyang Technological University); Dayan Guan (Mohamed bin Zayed University of Artificial Intelligence); Jiaxing Huang (Nanyang Technological University); Shijian Lu (Nanyang Technological University)*	N/A	N/A
Diverse Learner: Exploring Diverse Supervision for Semi-supervised Object Detection	Linfeng Li (Baidu)*; Minyue Jiang (Baidu Inc.); Yue Yu (Baidu.Inc.); Wei Zhang (Baidu Inc); Xiangru Lin (Baidu Inc.); Yingying Li (Baidu); Xiao Tan (Baidu Inc.); Jingdong Wang (Baidu); Errui Ding (Baidu Inc.)	N/A	N/A
Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction	Xiaoning Sun (Nanjing University of Science and Technology)*; Qiongjie Cui (Nanjing University of Science and Technology); Huaijiang Sun (Nanjing University of Science and Technology); Bin Li (Tianjin AiForward Science and Technology); Weiqing Li (Nanjing University of Science and Technology); Jianfeng Lu (Nanjing University of Science and Technology)	N/A	N/A
Towards Hard-Positive Query Mining for DETR-based Human-Object Interaction Detection	Xubin Zhong (South China University of Technology); Changxing Ding (South China University of Technology)*; Zijian Li (South China University of Technology); Shaoli Huang (Tencent AI-Lab)	N/A	N/A
Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number	Xian Wei (East China Normal University); Yangyu Xu (Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences;University of Chinese Academy of Sciences); yanhui huang (Fuzhou University); Hairong Lv (Tsinghua University); Hai Lan (Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences); Mingsong Chen (East China Normal University); XUAN TANG (East China Normal University)*	N/A	N/A
Structural Triangulation: A Closed-Form Solution to Constrained 3D Human Pose Estimation	Zhuo Chen (Shanghai Jiao Tong University)*; Xu Zhao (Shanghai Jiao Tong University); Xiaoyue Wan (Shanghai Jiao Tong University)	N/A	N/A
Latency-Aware Collaborative Perception	Zixing Lei (Shanghai Jiao Tong University)*; Shunli Ren (Shanghai Jiao Tong University); Yue Hu (Shanghai Jiao Tong University); Wenjun Zhang (Shanghai Jiao Tong University); Siheng Chen (Shanghai Jiao Tong University)	N/A	N/A
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection	Xin Li (East China Normal University)*; Botian Shi (Shanghai AI Lab); Yuenan HOU (Shanghai AI Lab); Xingjiao Wu ( East China Normal University); Tianlong Ma (East China Normal University); Yikang Li (Shanghai AI Lab); Liang He (ECNU)	N/A	N/A
Unfolded Deep Kernel Estimation for Blind Image Super-resolution	Hongyi Zheng (The Hong Kong Polytechnic University); Hongwei Yong (The Hong Kong Polytechnic University); Lei Zhang (“Hong Kong Polytechnic University, Hong Kong, China”)*	N/A	N/A
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning	Xingping Dong (Inception Institute of Artificial Intelligence)*; Jianbing Shen (Inception Institute of Artificial Intelligence); Ling Shao (Terminus Group)	N/A	N/A
Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment	Zihan Lin (University of Science and Technology of China); Zilei Wang (University of Science and Technology of China)*; Yixin Zhang (University of Science and Technology of China)	N/A	N/A
SC-wLS: Towards Interpretable Feed-forward Camera Re-localization	Xin Wu (Peking University)*; Hao Zhao (Intel Labs China); Shunkai Li (Peking University); Yingdian Cao (Peking University); Hongbin Zha (Peking University, China)	N/A	N/A
Weakly-Supervised Stitching Network for Real-World Panoramic Image Generation	Dae-Young Song (Chungnam National University); Geonsoo Lee (Chungnam National University); HeeKyung Lee (ETRI(Electronics and Telecommunications Reseach Institute)); Gi-Mun Um (ETRI(Electronics and Telecommunications Research Institute)); Donghyeon Cho (Chungnam National University)*	N/A	N/A
FloatingFusion: Depth from ToF and Image-stabilized Stereo Cameras	Andreas Meuleman (KAIST); Hakyeong Kim (KAIST); James Tompkin (Brown University); Min H. Kim (KAIST)*	N/A	N/A
Dual-Evidential Learning for Weakly-supervised Temporal Action Localization	Mengyuan Chen (Institute of Automation, Chinese Academy of Sciences)*; Junyu Gao (CASIA); Shicai Yang (Hikvision Research Institute); Changsheng Xu (CASIA)	N/A	N/A
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation	Songhua Liu (National University of Singapore)*; Jingwen Ye (National University of Singapore); Sucheng Ren (South China University of Technology); Xinchao Wang (National University of Singapore)	N/A	N/A
D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration	Yuzhi Zhao (City University of Hong Kong)*; Yongzhe Xu (SenseTime Group Limited); Qiong Yan (SenseTime Group Limited); DINGDONG YANG (University of Michigan); Xuehui Wang (Shanghai Jiao Tong University); Lai-Man Po (CITY UNIVERSITY OF HONG KONG)	N/A	N/A
DELTAR: Depth Estimation from a Light-weight ToF Sensor and RGB Image	Yijin Li (Zhejiang University); Yinda Zhang (Google); Xinyang Liu (Zhejiang University); Wenqi Dong (Zhejiang University); Han Zhou (Zhejiang University); Hujun Bao (Zhejiang University); Guofeng Zhang (Zhejiang University); Zhaopeng Cui (Zhejiang University)*	N/A	N/A
ERA: Enhanced Rational Activations	Martin Trimmel (Lund University)*; Mihai Zanfir (Google); Richard I Hartley (google); Cristian Sminchisescu (Google)	N/A	N/A
FrequencyLowCut pooling – Plug & Play against Catastrophic Overfitting	Julia Grabinski (University of Siegen)*; Janis Keuper (Fraunhofer); Margret Keuper (University of Mannheim); Steffen Jung (MPII)	N/A	N/A
Interclass Prototype Relation for Few-Shot Segmentation	Atsuro Okazawa (SoftBank Corp.)*	N/A	N/A
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection	Shuang Wu (Harbin Institute of Technology, Shenzhen); Wenjie Pei (Harbin Institute of Technology, Shenzhen); Dianwen Mei (Harbin Institute of Technology, Shenzhen); Fanglin Chen (Harbin Institute of Technology, Shenzhen); Jiandong Tian (CAS); Guangming Lu ( Harbin Institute of Technology, Shenzhen)*	N/A	N/A
X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks	Zhaowei Cai (Amazon)*; Gukyeong Kwon (Amazon); Avinash Ravichandran (Amazon); Erhan Bas (Amazon); Zhuowen Tu (UC San Diego); Rahul Bhotika (Amazon); Stefano Soatto (UCLA)	N/A	N/A
Equivariance and Invariance Inductive Bias for Learning from Insufficient Data	Tan Wang (Nanyang Technological University)*; Qianru Sun (Singapore Management University); Sugiri Pranata (Panasonic R&D Center Singapore); Karlekar Jayashree (Panasonic); Hanwang Zhang (Nanyang Technological University)	N/A	N/A
Multimodal Conditional Image Synthesis with Product-of-Experts GANs	Xun Huang (NVIDIA)*; Arun Mallya (NVIDIA); Ting-Chun Wang (NVIDIA); Ming-Yu Liu (NVIDIA)	N/A	N/A
Balancing between Forgetting and Acquisition in Incremental Subpopulation Learning	Mingfu Liang (Northwestern University)*; JIAHUAN ZHOU (Peking University); Wei Wei (Northwestern University); Ying Wu (Northwestern University)	N/A	N/A
TensoRF: Tensorial Radiance Fields	Anpei Chen (ShanghaiTech University)*; Zexiang Xu (Adobe Research); Andreas Geiger (University of Tuebingen); Jingyi Yu (Shanghai Tech University); Hao Su (UCSD)	N/A	N/A
PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration	Mingzhi Yuan (Fudan University)*; Zhihao Li (Fudan); Qiuye Jin (Fudan University); Xinrong Chen (Fudan University); Manning Wang (Fudan University)	N/A	N/A
Slim Scissors: Segmenting Thin Object from Synthetic Background	Kunyang Han (Beijing Jiaotong University)*; Jun Hao Liew (ByteDance); Jiashi Feng (ByteDance); Huawei Tian (People’s Public Security University of China); Yao Zhao (Beijing Jiaotong University); Yunchao Wei (UTS)	N/A	N/A
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition	Shreyank N Gowda (University of Edinburgh)*; Laura Sevilla-Lara (Facebook); Frank Keller (University of Edinburgh); Marcus Rohrbach (Facebook AI Research)	N/A	N/A
Discovering Human-Object Interaction Concepts via Self-Compositional Learning	Zhi Hou (The University of Sydney)*; Baosheng Yu (The University of Sydney); Dacheng Tao (The University of Sydney)	N/A	N/A
Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance	Chen Tang (Tsinghua University)*; Kai Ouyang (Tsinghua University); Zhi Wang (Tsinghua University); Yifei Zhu (Shanghai Jiao Tong University); Wen Ji (Institute of Computing Technology, Chinese Academy of Sciences); Yaowei Wang (PengCheng Laboratory); Wenwu Zhu (Tsinghua University)	N/A	N/A
TREND: Truncated Generalized Normal Density Estimation of Inception Embeddings for GAN Evaluation	Junghyuk Lee (School of Integrated Technology, Yonsei University); Jong-Seok Lee (“Yonsei University, Korea”)*	N/A	N/A
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform	Yining Zhao (Tsinghua University); Chao Wen (Bytedance); Zhou Xue (Bytedance); Yue Gao (Tsinghua University)*	N/A	N/A
JoJoGAN: One Shot Face Stylization	Min Jin Chong (Univeristy of Illinois at Urbana-Champaign)*; David Forsyth (Univeristy of Illinois at Urbana-Champaign)	N/A	N/A
Convolutional Embedding Makes Hierarchical Vision Transformer Stronger	Cong Wang (OPPO); Hongmin Xu (OPPO)*; Xiong Zhang (Neolix Autonomous Vehicle); Li Wang (North China University of Technology ); Zhitong Zheng (OPPO); Haifeng Liu (OPPO)	N/A	N/A
Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration	Haotian Bai (The Chinese University of Hongkong, shenzhen); Ruimao Zhang (The Chinese University of Hong Kong, Shenzhen)*; Jiong WANG (The Chinese University of Hong Kong, Shenzhen); Xiang Wan (Shenzhen Research Institute of Big Data, the Chinese University of Hong Kong (Shenzhen))	N/A	N/A
Few-shot Class-incremental Learning for 3D Point Cloud Objects	Townim Faisal Chowdhury (North South University); Ali Cheraghian (Australian National University (ANU)); Sameera Chandimal Ramasinghe (Australian National University); Sahar Ahmadi (University of Technology Sydney); Morteza Saberi (University of Technology, Sydney); Shafin Rahman (North South University)*	N/A	N/A
Learning Graph Neural Networks for Image Style Transfer	Yongcheng Jing (The University of Sydney); Yining Mao (Zhejiang University); Yiding Yang (Wormpex AI Research); Yibing Zhan (JD Explore Academy); Mingli Song (Zhejiang University); Xinchao Wang (National University of Singapore)*; Dacheng Tao (JD.com)	N/A	N/A
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes	Haimei Zhao (The University of Sydney)*; Jing Zhang (The University of Sydney); Sen Zhang (The University of Sydney); Dacheng Tao (JD.com)	N/A	N/A
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions	Zhenyi Wang (University at Buffalo)*; Li Shen (JD Explore Academy); Le Fang (University at Buffalo); Qiuling Suo (State University of New York at Buffalo); Donglin Zhan (Columbia University); Tiehang Duan (Facebook); Mingchen Gao (University at Buffalo, SUNY)	N/A	N/A
Semi-supervised 3D Object Detection with Proficient Teachers	Junbo Yin (Beijing Institute of Technology); Jin Fang (Baidu ); Dingfu Zhou (Baidu); Wenguan Wang (Eidgenössische Technische Hochschule Zürich); Liangjun Zhang (baidu); Cheng-Zhong Xu (University of Macau); Jianbing Shen (Inception Institute of Artificial Intelligence)*	N/A	N/A
NeFSAC: Neurally Filtered Minimal Samples	Luca Cavalli (ETH Zurich)*; Marc Pollefeys (ETH Zurich / Microsoft); Daniel Barath (ETH Zürich)	N/A	N/A
Domain Generalization by Mutual-Information Regularization with Pre-trained Models	Junbum Cha (Kakaobrain)*; Kyungjae Lee (Chung-Ang University); Sungrae Park (Upstage AI Research, Upstage AI); Sanghyuk Chun (NAVER AI Lab)	N/A	N/A
AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection	Yipeng Gao (Sun Yat-sen University, China); Lingxiao YANG (Sun-Yat Sen University); Yunmu Huang (Huawei Technologies Co., Ltd.); Song Xie (Huawei Technologies Co., Ltd.); Shiyong Li ( AI Application Research Center, Huawei Technologies Co., Ltd); WEI-SHI ZHENG (Sun Yat-sen University, China)*	N/A	N/A
Primitive-based Shape Abstraction via Nonparametric Bayesian Inference	Yuwei Wu (National University of Singapore)*; Weixiao Liu (National University of Singapore); Sipu Ruan (National University of Singapore); Gregory S Chirikjian (National University of Singapore)	N/A	N/A
Active label correction using robust parameter update and entropy propagation	Kwang In Kim (UNIST)*	N/A	N/A
E-Graph: Minimal Solution for Rigid Rotation with Extensibility Graphs	Yanyan Li (tum)*; Federico Tombari (Google, TU Munich)	N/A	N/A
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation	Nadine Behrmann (Bosch Center for Artificial Intelligence)*; S. Alireza Golestaneh (Google); Zico Kolter (Carnegie Mellon University); Jürgen Gall (University of Bonn); Mehdi Noroozi (Bosch Gmb)	N/A	N/A
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification	Xulin Li (University of Science and Technology of China); Yan Lu (University of Sydney); Bin Liu (University of Science and Technology of China)*; Yating Liu (USTC); Guojun Yin (University of Science and Technology of China); Qi Chu (University of Science and Technology of China); Jinyang Huang (University Of Science And Technology Of China); Feng Zhu (University of Science and Technology of China); Rui Zhao (SenseTime Group Limited); Nenghai Yu (University of Science and Technology of China)	N/A	N/A
A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision	Lanxiao Li (Karlsruher Institut fuer Technologie)*; Michael Heizmann (Karlsruher Institut fuer Technologie)	N/A	N/A
VecGAN: Image-to-Image Translation with Interpretable Latent Directions	Yusuf Dalva (Bilkent University); Said F Altındiş (Bilkent University); Aysegul Dundar (Bilkent University)*	N/A	N/A
SNeS: Learning Probably Symmetric Neural Surfaces from Incomplete Data	Eldar Insafutdinov (University of Oxford); Dylan Campbell (University of Oxford)*; Joao F Henriques (University of Oxford); Andrea Vedaldi (Oxford University)	N/A	N/A
Three things everyone should know about Vision Transformers	Hugo Touvron (Facebook AI Research)*; Matthieu Cord (Sorbonne University); Alaaeldin M El-Nouby (Facebook AI Research); Jakob Verbeek (Facebook); Herve Jegou (Facebook AI Research)	N/A	N/A
DeiT III: Revenge of the ViT	Hugo Touvron (Facebook AI Research)*; Matthieu Cord (Sorbonne University); Herve Jegou (Facebook AI Research)	N/A	N/A
Any-resolution Training for High-resolution Image Synthesis	Lucy Chai (MIT)*; Michaël Gharbi (Adobe Research); Eli Shechtman (Adobe Research, US); Phillip Isola (MIT); Richard Zhang (Adobe)	N/A	N/A
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields	Kim Jun-Seong (POSTECH)*; Kim Yu-Ji (POSTECH); Moon Ye-Bin (POSTECH); Tae-Hyun Oh (POSTECH)	N/A	N/A
PartImageNet: A Large, High-Quality Dataset of Parts	Ju He (Johns Hopkins University)*; Shuo Yang (University of Technology Sydney); Shaokang Yang (ByteDance); Adam Kortylewski (Max Planck Institute for Informatics); Xiaoding Yuan (Johns Hopkins University); Jie-Neng Chen (Johns Hopkins University); shuai liu (ByteDance Inc.); Cheng Yang (ByteDance Inc.); Qihang Yu (Johns Hopkins University); Alan Yuille (Johns Hopkins University)	N/A	N/A
Abstracting Sketches through Simple Primitives	Stephan Alaniz (University of Tübingen)*; Massimiliano Mancini (University of Tübingen); Anjan Dutta (University of Surrey); Diego Marcos (Wageningen University); Zeynep Akata (University of Tübingen)	N/A	N/A
MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer	Jinze Yu (Beihang University); Jiaming Liu (Peking University); Xiaobao Wei (Beihang University); Haoyi Zhou (Beihang University); Yohei Nakata (Panasonic Corporation); Denis A Gudovskiy (Panasonic); Tomoyuki Okuno (Panasonic); Jianxin Li (Beihang University); Kurt Keutzer (UC Berkeley); Shanghang Zhang (University of California, Berkeley)*	N/A	N/A
TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations	Shivangi Aneja (Technical University Of Munich )*; Lev Markhasin (Sony Europe); Matthias Niessner (Technical University of Munich)	N/A	N/A
NeuMan: Neural Human Radiance Field from a Single Video	Wei Jiang (University of British Columbia)*; Kwang Moo Yi (University of British Columbia); Golnoosh Samei (UBC); Oncel Tuzel (Apple); Anurag Ranjan (Apple)	N/A	N/A
Learning Implicit Templates for Point-Based Clothed Human Modeling	Siyou Lin (Tsinghua University)*; Hongwen Zhang (Tsinghua University); Zerong Zheng (Tsinghua University); Ruizhi Shao (Tsinghua University); Yebin Liu (Tsinghua University)	N/A	N/A
Event Neural Networks	Matthew Dutson (University of Wisconsin-Madison)*; Yin Li (University of Wisconsin-Madison); Mohit Gupta (“University of Wisconsin-Madison, USA “)	N/A	N/A
Learning to Censor by Noisy Sampling	Ayush Chopra (MIT)*; Abhinav Java (Adobe, MDSR Labs); Abhishek Singh (MIT); Vivek Sharma (MIT); Ramesh Raskar (Massachusetts Institute of Technology)	N/A	N/A
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization	Jiwon Kim (Korea University)*; Youngjo Min (Korea University); Daehwan Kim (Samsung electro mechanics); Gyuseong Lee (Korea University); Junyoung Seo (Korea University); Kwangrok Ryoo (Korea University); Seungryong Kim (Korea University)	N/A	N/A
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks	Jon Almazan (Naver Labs); Byungsoo Ko (NAVER/LINE Corp.); Geonmo Gu (NAVER corp); Diane Larlus (Naver Labs Europe); Yannis Kalantidis (NAVER LABS Europe)*	N/A	N/A
EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers	Junting Pan (The Chinese University of Hong Kong); Adrian Bulat (Samsung AI Center, Cambridge); Fuwen Tan (Samsung AI Center, Cambridge); Xiatian Zhu (University of Surrey); Lukasz Dudziak (Samsung AI Center Cambridge); Hongsheng Li (The Chinese University of Hong Kong); Georgios Tzimiropoulos (Queen Mary University of London); Brais Martinez (Samsung AI Center)*	N/A	N/A
Multi-Domain Multi-Definition Landmark Localization for Small Datasets	David Ferman (AI Foundation); Gaurav Bharaj (AI Foundation)*	N/A	N/A
TAVA: Template-free Animatable Volumetric Actors	Ruilong Li (UC Berkeley)*; Julian Tanke (University of Bonn); Minh P Vo (Facebook Reality Labs); Michael Zollhöfer (Facebook Reality Labs); Jürgen Gall (University of Bonn); Angjoo Kanazawa (University of California Berkeley); Christoph Lassner (Meta Reality Labs Research)	N/A	N/A
Stereo Depth Estimation with Echoes	Chenghao Zhang (National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China)*; Kun Tian (Institute of Automation, Chinese Academy of Sciences); Bolin Ni (Institute of Automation, Chinese Academy of Sciences); Gaofeng Meng (Chinese Academy of Sciences); Bin Fan (University of Science and Technology Beijing); Zhaoxiang Zhang (Chinese Academy of Sciences, China); Chunhong Pan (Institute of Automation, Chinese Academy of Sciences)	N/A	N/A
EASNet:Searching Elastic and Accurate Network Architecture for Stereo Matching	Qiang Wang (Harbin Institute of Technology (Shenzhen))*; Shaohuai Shi (The Hong Kong University of Science and Technology); Kaiyong Zhao (Hong Kong Baptist University); Xiaowen Chu (Hong Kong University of Science and Technology)	N/A	N/A
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection	Abhinav Kumar (Michigan State University)*; Garrick Brazil (Facebook); Enrique Corona (Ford Motor Company); Armin Parchami (Ford Motor Company); Xiaoming Liu (Michigan State University)	N/A	N/A
RBP-Pose: Residual Bounding Box Projection for Category-Level Pose Estimation	Ruida Zhang (Tsinghua University)*; Yan Di (Technical University of Munich); Zhiqiang Lou (Tsinghua University); Fabian Manhardt (Google); Federico Tombari (Google, TU Munich); Xiangyang Ji (Tsinghua University)	N/A	N/A
Levenshtein OCR	Cheng Da (Alibaba DAMO Academy)*; Wang Peng (Alibaba DAMO Academy); Cong Yao (Alibaba DAMO Academy)	N/A	N/A
Multi-Granularity Prediction for Scene Text Recognition	Wang Peng (Alibaba DAMO Academy); Cheng Da (Alibaba DAMO Academy)*; Cong Yao (Alibaba DAMO Academy)	N/A	N/A
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition	Chuanguang Yang (Institute of Computing Technology, Chinese Academy of Sciences )*; Zhulin An (Institute of Computing Technology, Chinese Academy of Sciences); Helong Zhou (Beijing Horizon Information Technology Co.,Ltd); linhang cai (Institute of Computing Technology, Chinese Academy of Sciences); Xiang Zhi (Institute of Computing Technology, Chinese Academy of Sciences); Jiwen Wu (Institute of Computing Technology, Chinese Academy of Sciences); yongjun xu (Institute of Computing Technology, Chinese Academy of Sciences); Qian Zhang (Horizon Robotics)	N/A	N/A
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input	Qingpei Guo (Ant Financial Services Group)*; Kaisheng Yao (Amazon); Wei Chu (Ant Group)	N/A	N/A
Efficient Video Transformers with Spatial-temporal Token Selection	Junke Wang (Fudan University)*; Xitong Yang (University of Maryland); Hengduo Li (University of Maryland, College Park ); Li Liu (BirenTech Research); Zuxuan Wu (UMD); Yu-Gang Jiang (Fudan University)	N/A	N/A
DAS: Densely-Anchored Sampling for Deep Metric Learning	Lizhao Liu (South China University of Technology); Shangxin Huang (South China University of Technology); Zhuangwei Zhuang (South China University of Technology); Ran Yang (South China University of Technology); Mingkui Tan (South China University of Technology)*; Yaowei Wang (PengCheng Laboratory)	N/A	N/A
ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion	Zhanbo Huang (Dalian University of Technology); Jinyuan Liu (Dalian University of Technology); Xin Fan (Dalian University of Technology)*; Risheng Liu (Dalian University of Technology); Wei Zhong (Dalian University of Technology); Zhongxuan Luo (DALIAN UNIVERSITY OF TECHNOLOGY)	N/A	N/A
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN	Huy Phan (Rutgers University)*; Cong Shi (Rutgers University); Yi Xie (Rutgers University); Tianfang Zhang (Rutgers University, New Brunswick); Zhuohang Li (University of Tennessee, Knoxville); Tianming Zhao (Temple University); Jian Liu (The University of Tennessee, Knoxville); Yan Wang (Temple University); Yingying Chen (Rutgers University); bo yuan (rutgers university)	N/A	N/A
Point Cloud Compression with Sibling Context and Surface Priors	Zhili CHEN (HKUST); Zian Qian (HKUST); Sukai Wang (HKUST); Qifeng Chen (HKUST)*	N/A	N/A
Self-Feature Distillation with Uncertainty Modeling for Degraded Image Recognition	zhou yang (Xidian University); Weisheng Dong (Xidian University)*; Xin Li (West Virginia University); Jinjian Wu (Xidian University); Leida Li (Xidian University); Guangming Shi (Xidian University)	N/A	N/A
Point Cloud Compression using Range Image-based Entropy Model for Autonomous Driving	Sukai Wang (HKUST)*; Ming Liu (HKUST)	N/A	N/A
CANF-VC: Conditional Augmented Normalizing Flows for Video Compression	Yung-Han Ho (NCTU); Chih-Peng Chang (National Chiao Tung Univeristy); Peng-Yu Chen (NYCU); Alessandro Gnutti (University of Brescia); Wen-Hsiao Peng (National Yang Ming Chiao Tung University)*	N/A	N/A
Bi-level Feature Alignment for Versatile Image Translation and Manipulation	Fangneng Zhan (Max Planck Institute for Informatics); Yingchen Yu (Nanyang Technological University); Rongliang WU (Nanyang Technological University); Jiahui Zhang (Nanyang Technological University); Kaiwen Cui (Nanyang Technological University); Aoran Xiao (Nanyang Technological University); Shijian Lu (Nanyang Technological University)*; Chunyan Miao (NTU)	N/A	N/A
Lane Detection Transformer based on Multi-frame Horizontal and Vertical Attention and Visual Transformer Module	Han Zhang (Beihang University)*; Yunchao Gu (BUAA); Xinliang Wang (BUAA); Junjun Pan (Beihang University); Minghui Wang (Beihang University)	N/A	N/A
Label-Guided Auxiliary Training Improves 3D Object Detector	yaomin huang (East China Normal University); Xinmei Liu (East China Normal University)*; Yichen Zhu (Midea Group); Zhiyuan Xu (Midea Group); Chaomin Shen (East China Normal University); Zhengping Che (Midea Group); Guixu Zhang (East China Normal University); Yaxin Peng (Department of Mathematics, School of Science, Shanghai University); Feifei Feng (Midea Grooup); Jian Tang (Midea Group)	N/A	N/A
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation	Sungwon Han (KAIST)*; Sungwon Park (KAIST); Fangzhao Wu (MSRA); Sundong Kim (Institute for Basic Science); Chuhan Wu (Tsinghua University); Xing Xie (Microsoft Research Asia); Meeyoung Cha (Institute for Basic Science)	N/A	N/A
ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection	Junbo Yin (Beijing Institute of Technology); Wenguan Wang (Eidgenössische Technische Hochschule Zürich); Dingfu Zhou (Baidu); Jin Fang (Baidu ); Liangjun Zhang (baidu); Cheng-Zhong Xu (University of Macau); Jianbing Shen (Inception Institute of Artificial Intelligence)*	N/A	N/A
Audio-Driven Stylized Gesture Generation with Flow-Based Model	Sheng Ye (Tsinghua University)*; Yu-Hui Wen (Tsinghua University); Yanan Sun (Tsinghua University); Ying He (Nanyang Technological University); Ziyang Zhang (HUAWEI TECHNOLOGIES CO.LTD); Yaoyuan Wang (Huawei Technologies Co., Ltd.); Weihua He (Tsinghua University); Yong-Jin Liu (Tsinghua University)	N/A	N/A
Unsupervised Domain Adaptation for One-Stage Object Detector using Offsets to Bounding Box	Jayeon Yoo (Seoul National University); Inseop Chung (Seoul National University); Nojun Kwak (Seoul National University)*	N/A	N/A
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework	Botao Ye (Institute of Computing Technology, Chinese Academy of Sciences)*; Hong Chang (Chinese Academy of Sciences); Bingpeng MA (University of Chinese Academy of Sciences); Shiguang Shan (Institute of Computing Technology, Chinese Academy of Sciences); Xilin Chen (Institute of Computing Technology, Chinese Academy of Sciences)	N/A	N/A
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map	Chenfeng Xu (UC Berkeley)*; Tian Li (University of California, San Diego); Chen Tang (UC Berkeley); Lingfeng Sun (UC Berkeley); Kurt Keutzer (EECS, UC Berkeley); Masayoshi TOMIZUKA (MSC Lab); Alireza Fathi (Google); Wei Zhan (University of California, Berkeley)	N/A	N/A
DeepPS2: Revisiting Photometric Stereo using Two Differently Illuminated Images	Ashish Tiwari (Indian Institute of Technology Gandhinagar)*; Shanmuganathan Raman (Indian Institute of Technology (IIT) Gandhinagar)	N/A	N/A
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition	Yuhang Zhang (Beijing University of Posts and Telecommunicates); Chengrui Wang (Beijing University of Posts and Telecommunications); Xu Ling (Beijing University of Posts and Telecommunications); Weihong Deng (Beijing University of Posts and Telecommunications)*	N/A	N/A
Novel Class Discovery without Forgetting	Joseph K J (Indian Institute of Technology, Hyderabad)*; Sujoy Paul (Google Research); Gaurav Aggarwal (Google); Soma Biswas (Indian Institute of Science, Bangalore); Piyush Rai (IIT Kanpur); Kai Han (The University of Hong Kong); Vineeth N Balasubramanian (Indian Institute of Technology, Hyderabad)	N/A	N/A
Self-Constrained Inference Optimization on Structural Groups for Human Pose Estimation	ZheHan Kan (Southern University of Science and Technology); Shuoshuo Chen (Southern University of Science and Technology); Zeng Li (Southern University of Science and Technology); Zhihai He (Southern University of Science and Technology)*	N/A	N/A
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning	Damien Teney (University of Adelaide)*; Maxime Peyrard (EPFL); Ehsan M Abbasnejad (The University of Adelaide)	N/A	N/A
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning	Michael Kirchhof (University of Tübingen)*; Karsten Roth (University of Tuebingen); Zeynep Akata (University of Tübingen); Enkelejda Kasneci (University of Tuebingen)	N/A	N/A
Relative Pose from SIFT Features	Daniel Barath (ETH Zürich)*; Zuzana Kukelova (Czech Technical University in Prague)	N/A	N/A
Monocular 3D Object Reconstruction with GAN Inversion	Junzhe Zhang (Nanyang Technological University)*; Daxuan Ren (Nanyang Technological University); Zhongang Cai (SenseTime International Pte Ltd); Chai Kiat Yeo (Nanyang Technological University); Bo Dai (Shanghai AI Lab); Chen Change Loy (Nanyang Technological University)	N/A	N/A
PromptDet: Towards Open-vocabulary Detection using Uncurated Images	Chengjian Feng (Meituan inc.)*; Yujie Zhong (University of Oxford); Zequn Jie (Meituan inc.); Xiangxiang Chu (Meituan); Haibing Ren (Meituan Inc.); Xiaolin Wei (Meituan); Weidi Xie (Shanghai Jiao Tong University); Lin Ma (Meituan)	N/A	N/A
Densely Constrained Depth Estimator for Monocular 3D Object Detection	Yingyan Li (CASIA)*; Yuntao Chen (TuSimple); Jiawei He (Institute of Automation, Chinese Academy of Sciences); Zhaoxiang Zhang (Chinese Academy of Sciences, China)	N/A	N/A
Content Adaptive Latents and Decoder for Neural Image Compression	Guanbo Pan (Beihang University)*; Guo Lu (Beijing Institute of Technology); Zhihao Hu (Beihang University); Dong Xu (The University of Hong Kong)	N/A	N/A
High-Fidelity Image Inpainting with GAN Inversion	Yongsheng YU (University of Chinese Academy of Sciences); Libo Zhang (Institute of Software Chinese Academy of Sciences)*; Heng Fan (University of North Texas); Tiejian Luo (University of Chinese Academy of Sciences)	N/A	N/A
Spatially Invariant Unsupervised 3D Object-Centric Learning and Scene Decomposition	Tianyu Wang (The Australian National University); Miaomiao Liu (The Australian National University)*; Kee Siong Ng (The Australian National University)	N/A	N/A
W2N: Switching From Weak Supervision to Noisy Supervision for Object Detection	Zitong Huang (Harbin Institute of Technology); Yiping Bao (Megvii(Face++) Inc); Bowen Dong (Harbin Institute of Technology); erjin zhou (megvii); Wangmeng Zuo (Harbin Institute of Technology, China)*	N/A	N/A
UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture	Hiroyasu Akada (Max Planck Institute for Informatics, Keio University); Jian Wang (Max Planck Institute for Informatics); Soshi Shimada (MPI for Informatics); Masaki Takahashi (Keio University); Christian Theobalt (MPI Informatik); Vladislav Golyanik (MPI for Informatics)*	N/A	N/A
MotionCLIP: Exposing Human Motion Generation to CLIP Space	Guy Tevet (Tel Aviv University)*; Brian Gordon (Tel Aviv University); Amir Hertz (Tel Aviv University); Amit H Bermano (Tel-Aviv University); Danny Cohen-Or (Tel Aviv University)	N/A	N/A
Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution	Jie Liang (The Hong Kong Polytechnic University)*; Hui Zeng (OPPO); Lei Zhang (“Hong Kong Polytechnic University, Hong Kong, China”)	N/A	N/A
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones	Junyi Li (Harbin Institute of Technology); Xiaohe Wu (Harbin Institute of technology); zhenxing niu (Alibaba Group-Machine Intelligence Technology); Wangmeng Zuo (Harbin Institute of Technology, China)*	N/A	N/A
Map-free Visual Relocalization: Metric Pose Relative to a Single Image	Eduardo Arnold (University of Warwick); Jamie M Wynn (Niantic); Sara Vicente (Niantic); Guillermo Garcia-Hernando (Niantic); Aron Monszpart (Niantic); Victor A Prisacariu (Niantic Labs); Daniyar Turmukhambetov (Niantic); Eric Brachmann (Niantic)*	N/A	N/A
DeltaGAN: Towards Diverse Few-shot ImageGeneration with Sample-Specific Delta	Yan Hong (Shanghai Jiao Tong University); Li Niu (Shanghai Jiao Tong University)*; Jianfu Zhang (Shanghai Jiao Tong University); Liqing Zhang (Shanghai Jiao Tong University)	N/A	N/A
Sample-Adaptive Augmentation for Long-Tailed Image Classification	Yan Hong (Shanghai Jiao Tong University); Jianfu Zhang (Shanghai Jiao Tong University)*; Zhongyi Sun (Tencent); Ke Yan (Tencent)	N/A	N/A
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers	Jihao Liu (Sensetime)*; Boxiao Liu (Institute of Computing Technology, Chinese Academy of Sciences); Hang Zhou (The Chinese University of Hong Kong); Hongsheng Li (The Chinese University of Hong Kong); Yu Liu (SenseTime Group LTD)	N/A	N/A
UFO: Unified Feature Optimization	Teng Xi (Baidu Inc.)*; Yifan Sun (Baidu Research); Deli Yu (Baidu Inc. ); Bi Li (Baidu Inc.); Nan Peng (Baidu Inc.); gang zhang (Baidu Inc.); Xinyu Zhang (Baidu Inc.); Zhigang Wang (shanghai AI lab); jinwen chen (Baidu Inc.); Jian Wang (Baidu Inc.); liu lufei (Baidu Inc); Haocheng Feng (Baidu Inc.); Junyu Han (Baidu Inc.); jingtuo liu (baidu); Errui Ding (Baidu Inc.); Jingdong Wang (Baidu)	N/A	N/A
Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions	Nikhil Reddy (IIT Delhi)*; Abhinav Singhal (Indian Institute of Technology, Delhi); Abhishek Kumar (IIT Delhi); Mahsa Baktashmotlagh (University of Queensland); Chetan Arora (Indian Institute of Technology Delhi)	N/A	N/A
PalQuant: Accelerating High-precision Networks on Low-precision Accelerators	Qinghao Hu (Institute of Automation, Chinese Academy of Sciences)*; gang li (shanghai jiao tong university); Qiman Wu (Baidu Inc.); Jian Cheng (“Chinese Academy of Sciences, China”)	N/A	N/A
Self-Supervised Learning for Real-World Super-Resolution from Dual Zoomed Observations	Zhilu Zhang (Harbin Institute of Technology); Ruohao Wang (Harbin Institute of Technology); Hongzhi Zhang (Harbin Institute of Technology); Yunjin Chen (ULSee Inc.); Wangmeng Zuo (Harbin Institute of Technology, China)*	N/A	N/A
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier	Yutong Xie (University of Adelaide)*; Jianpeng Zhang (Northwestern Polytechnical University); Yong Xia (Northwestern Polytechnical University, Research & Development Institute of Northwestern Polytechnical University in Shenzhen); Qi Wu (University of Adelaide)	N/A	N/A
Self-distilled Feature Aggregation for Self-supervised Monocular Depth Estimation	Zhengming Zhou (NLPR-IA-CAS); Qiulei Dong (NLPR-IA-CAS)*	N/A	N/A
Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification	Hyungtae Lee (DEVCOM Army Research Laboratory)*; Sungmin Eum (Booz Allen Hamilton Inc.); Heesung Kwon (U.S. Army Research Laboratory)	N/A	N/A
Global-local Motion Transformer for Unsupervised Skeleton-based Action Learning	Boeun Kim (Seoul National University)*; Hyung Jin Chang (University of Birmingham); Jungho Kim (KETI); Jin Young Choi (Seoul National University)	N/A	N/A
Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoiréing	Xin Yu (The University of Hong Kong)*; Peng Dai (The University of Hong Kong); Wenbo Li (The Chinese University of Hong Kong); Lan Ma (TCL Corporate Research); Jiajun Shen (TCL Research); Jia Li (Sun Yat-Sen University); Xiaojuan Qi (The University of Hong Kong)	N/A	N/A
Instance Contour Adjustment via Structure-driven CNN	Shuchen Weng (Peking University)*; Yi Wei (Samsung Research America Inc.); Ming-Ching Chang (University at Albany – SUNY); Boxin Shi (Peking University)	N/A	N/A
ERDN: Equivalent Receptive Field Deformable Network for Video Deblurring	Bangrui Jiang (Tsinghua University)*; zhihuai xie (Tencent); Zhen Xia (Tencent); Songnan Li (Tencent); Shan Liu (Tencent America)	N/A	N/A
Localizing Visual Sounds the Easy Way	Shentong Mo (Carnegie Mellon University); Pedro Morgado (CMU)*	N/A	N/A
Polarimetric Pose Prediction	Daoyi Gao (Technical University of Munich)*; Yitong Li (Technical University of Munich); Patrick Ruhkamp (Technical University of Munich); Iuliia Skobleva (Technical University of Munich); Magdalena Wysocki (Technical University of Munich); HyunJun Jung ( Technical University of Munich); Pengyuan Wang (TUM); Arturo Guridi (Technical University of Munich); Benjamin Busam (Technical University of Munich)	N/A	N/A
DFNet: Enhance Absolute Pose Regression with Direct Feature Matching	Shuai Chen (University of Oxford)*; Xinghui Li (University of Oxford); Zirui Wang (University of Oxford); Victor Adrian Prisacariu (University of Oxford)	N/A	N/A
A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge	Dustin Schwenk (Allen Institute for Artificial Intelligence); Apoorv Khandelwal (Allen Institute for AI); Christopher A Clark (Allen Institute for AI); Kenneth Marino (CMU); Roozbeh Mottaghi (Allen Institute for AI)*	N/A	N/A
Sound Localization by Self-Supervised Time Delay Estimation	Ziyang Chen (University of Michigan)*; David Fouhey (University of Michigan); Andrew Owens (U Michigan)	N/A	N/A
AdaFocus V3: On Unified Spatial-temporal Dynamic Video Recognition	Yulin Wang (Tsinghua University); Yang Yue (Tsinghua University); Xinhong Xu (Tsinghua University); Ali Hassani (University of Oregon); Victor Kulikov (Picsart); Nikita Orlov (PicsArt); Shiji Song (Department of Automation, Tsinghua University); Humphrey Shi (U of Oregon	UIUC	PAIR); Gao Huang (Tsinghua)*
Discrete-Constrained Regression for Local Counting Models	Haipeng Xiong (National University of Singapore)*; Angela Yao (National University of Singapore)	N/A	N/A
Towards Regression-Free Neural Networks for Diverse Compute Platforms	Rahul Duggal (Georgia Tech); Hao Zhou (Amazon); Shuo Yang (Amazon); Jun Fang (Amazon)*; Yuanjun Xiong (Amazon); Wei Xia (Amazon)	N/A	N/A
Selection and Cross Similarity for Event-Image Deep Stereo	Hoonhee Cho (KAIST)*; Kuk-Jin Yoon (KAIST)	N/A	N/A
Long Movie Clip Classification with State-Space Video Models	Md Mohaiminul Islam (UNC Chapel Hill)*; Gedas Bertasius (UNC Chapel Hill)	N/A	N/A
Relationship Spatialization for Depth Estimation	xiaoyu xu (University of Waterloo)*; Jiayan Qiu (University of Waterloo); Xinchao Wang (National University of Singapore); Zhou Wang (University of Waterloo)	N/A	N/A
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition	Bo Liu (Wormpex AI Research)*; Haoxiang Li (Wormpex AI Research); Hao Kang (Wormpex AI Research); Gang Hua (Wormpex AI Research); Nuno Vasconcelos (UCSD, USA)	N/A	N/A
Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models	Chenfeng Xu (UC Berkeley)*; Shijia Yang (UC Berkeley); Tomer Galanti (Massachusetts Institute of Technology); Bichen Wu (Facebook Research); Xiangyu Yue (University of California, Berkeley); Bohan Zhai (UC Berkeley); Wei Zhan (University of California, Berkeley); Kurt Keutzer (EECS, UC Berkeley); Peter Vajda (Facebook); Masayoshi Tomizuka (University of California, Berkeley)	N/A	N/A
Visual Prompt Tuning	Menglin Jia (Cornell University)*; Luming Tang (Cornell University); Bor-Chun Chen (Facebook AI); Claire T Cardie (Cornell University); Serge Belongie (University of Copenhagen); Bharath Hariharan (Cornell University); Ser-Nam Lim (Meta AI)	N/A	N/A
Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation	THEODOROS PISSAS (University College London)*; Claudio S Ravasio (King’s College London (KCL)); Lyndon DaCruz (Moorfields Eye Hospital / University College London); Christos Bergeles (Kings College London)	N/A	N/A
Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion	Nobuhiko Wakai (Panasonic Corporation)*; Satoshi Sato (Panasonic Corporation); Yasunori Ishii (Panasonic Holdings); Takayoshi Yamashita (Chubu University)	N/A	N/A
Neural-Sim: Learning to Generate Training Data with NeRF	Yunhao Ge (University of Southern California)*; Harkirat Behl (University of Oxford); Jiashu Xu (USC); Suriya Gunasekar (Microsoft Research); Neel Joshi (MICROSOFT RESEARCH); Yale Song (FAIR); Xin Wang (Microsoft Research); Laurent Itti (University of Southern California); Vibhav Vineet (Microsoft Research)	N/A	N/A
Word-Level Fine-Grained Story Visualization	Bowen Li (University of Oxford)*	N/A	N/A
Chairs Can be Stood on: Overcoming Object Bias in Human-Object Interaction Detection	Guangzhi Wang (National University of Singapore)*; Yangyang Guo (National University of Singapore); Yongkang Wong (National University of Singapore); Mohan Kankanhalli (National University of Singapore,)	N/A	N/A
GOCA: Guided Online Cluster Assignment for Self Supervised Video Representation Learning	HUSEYIN COSKUN (Technical University of Munich)*; Alireza Zareian (Snap Inc.); Joshua L Moore (Snapchat); Federico Tombari (Google, TU Munich); Chen Wang (Snap Inc.)	N/A	N/A
Learning Audio-Video Modalities from Image Captions	Arsha Nagrani (Google )*; Paul Hongsuck Seo (Google); Bryan Seybold (Google); Anja Hauth (Google AI); Santiago Manen (Google); Chen Sun (Brown University); Cordelia Schmid (Google)	N/A	N/A
Inverted Pyramid Multi-task Transformer for Dense Scene Understanding	Hanrong Ye (The Hong Kong University of Science and Technology)*; Dan Xu (The Hong Kong University of Science and Technology)	N/A	N/A
Image Inpainting with Cascaded Modulation GAN and Object-Aware Training	Haitian Zheng (University of Rochester)*; Zhe Lin (Adobe Research); Jingwan Lu (Adobe Research ); Scott Cohen (Adobe Research); Eli Shechtman (Adobe Research, US); Connelly Barnes (Adobe); Jianming Zhang (Adobe Research); Ning Xu (Adobe Research); Sohrab Amirghodsi (Adobe Research); Jiebo Luo (U. Rochester)	N/A	N/A
Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues	Zixuan Huang (Georgia Institute of Technology)*; Stefan Stojanov (Georgia Institute of Technology); Anh Thai (Georgia Institute of Technology); Varun Jampani (Google); James Rehg (Georgia Institute of Technology)	N/A	N/A
ART-SS: An Adaptive Rejection Technique for Semi-Supervised restoration for adverse weather-affected images	Rajeev Yasarla ( AIBEE )*; Carey E Priebe (Johns Hopkins University); Vishal Patel (Johns Hopkins University)	N/A	N/A
Skeleton-Parted Graph Scattering Networks for 3D Human Motion Prediction	Maosen Li (Cooperative Medianet Innovation Center, Shanghai Jiao Tong University)*; Siheng Chen (Shanghai Jiao Tong University); Zijing Zhang (Zhejiang University); Lingxi Xie (Huawei Inc.); Qi Tian (Huawei Cloud & AI); Ya Zhang (Cooperative Medianet Innovation Center, Shang hai Jiao Tong University)	N/A	N/A
MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views	Haitian Zeng (University of Technology Sydney)*; Xin Yu (University of Technology Sydney); Jiaxu Miao (Zhejiang University); Yi Yang (Zhejiang University)	N/A	N/A
Unifying Event Detection and Captioning as Sequence Generation via Pre-Training	Qi Zhang (Renmin University of China)*; Yuqing Song (Renmin University of China); Qin Jin (Renmin University of China)	N/A	N/A
Depth Map Decomposition for Monocular Depth Estimation	Jinyoung Jun (Korea University)*; Jae-Han Lee (Gauss Labs Inc.); Chul Lee (Dongguk University); Chang-Su Kim (Korea university)	N/A	N/A
Human-centric Image Cropping with Partition-aware and Content-preserving Features	Bo Zhang (Shanghai Jiao Tong University)*; Li Niu (Shanghai Jiao Tong University); Xing Zhao (Shanghai Jiao Tong University); Liqing Zhang (Shanghai Jiao Tong University)	N/A	N/A
Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking	Boyu Chen (The University of Sydney); Peixia Li (The University of Sydney)*; Lei Bai (Shanghai AI Laboratory); Lei Qiao (SenseTime Group Limited); Qiuhong Shen (Harbin Institute of Technology (Shenzhen)); Bo Li (SenseTime Group Limited); Weihao Gan (SenseTime Group Limited); Wei Wu (SenseTime Group Limited); Wanli Ouyang (The University of Sydney)	N/A	N/A
StyleFace: Towards Identity-Disentangled Face Generation on Megapixels	Yuchen Luo (Shanghai Jiao Tong University)*; Junwei Zhu (Tencent); Keke He (Tencent); Wenqing Chu (Tencent); Ying Tai (Tencent YouTu); Junchi Yan (Shanghai Jiao Tong University); Chengjie Wang (Tencent; Shanghai Jiao Tong University)	N/A	N/A
Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion	Pengwei Liang (Harbin Institute of Technology)*; Junjun Jiang (Harbin Institute of Technology); Xianming Liu (Harbin Institute of Technology); Jiayi Ma (Wuhan University)	N/A	N/A
Learning Degradation Representations for Image Deblurring	dasong Li (Chinese University of Hong Kong)*; Yi Zhang (CUHK); Ka Chun Cheung (Nvidia); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong); Hongwei Qin (Sensetime); Hongsheng Li (The Chinese University of Hong Kong)	N/A	N/A
Aware of the History: Trajectory Forecasting with the Local Behavior Data	Yiqi Zhong (University of Southern California)*; Zhenyang Ni (Shanghai Jiao Tong University); Siheng Chen (Shanghai Jiao Tong University); Ulrich Neumann (USC)	N/A	N/A
FAR: Fourier Aerial Video Recognition	Divya Kothandaraman (University of Maryland College Park)*; Tianrui Guan (University of Maryland, College Park); Xijun Wang (University of Maryland, College Park); Shuowen Hu (US Army Research Laboratory); Ming C Lin (UMD-CP & UNC-CH ); Dinesh Manocha (University of Maryland at College Park)	N/A	N/A
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation	Yinan He (Beijing University of Posts and Telecommunications)*; Gengshi Huang (School of Electronics and Information Technology, Sun Yat-sen University); Siyu Chen (Carnegie Mellon University); Jianing Teng (sensetime); Kun Wang (SenseTime Group Limited); Zhenfei Yin (Sensetime); Lu Sheng (Beihang University); Ziwei Liu (Nanyang Technological University); Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Jing Shao (Sensetime)	N/A	N/A
Disentangled Differentiable Network Pruning	Shangqian Gao (University of Pittsburgh)*; Feihu Huang (University of Pittsburgh); Yanfu Zhang (University of Pittsburgh); Heng Huang (University of Pittsburgh)	N/A	N/A
Video Extrapolation in Space and Time	Yunzhi Zhang (Stanford University)*; Jiajun Wu (Stanford University)	N/A	N/A
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors	Sheng Xu (Beihang University)*; Yanjing Li (Beihang University); Bohan Zeng (Beihang University); Teli Ma (Shanghai Artificial Intelligence Laboratory); Baochang Zhang (Beihang University); Xianbin Cao (Beihang University, China); Peng Gao (Chinese university of hong kong); Jinhu Lu (Beihang University, Beijing, China)	N/A	N/A
Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation	chuang lin (Monash University)*; Yi Jiang (Bytedance); Jianfei Cai (Monash University); Lizhen Qu (Monash University); Reza Haffari (Monash University, Australia); Zehuan Yuan (Bytedance.Inc)	N/A	N/A
DnA: Improving Few-shot Transfer Learning with Low-Rank Decomposition and Alignment	Ziyu Jiang (Texas A&M University)*; Tianlong Chen (Unversity of Texas at Austin); Xuxi Chen (University of Texas at Austin); Yu Cheng (Microsoft Research); Luowei Zhou (Microsoft); Lu Yuan (Microsoft); Ahmed Awadallah (Microsoft); Zhangyang Wang (University of Texas at Austin)	N/A	N/A
Translating a Visual LEGO Manual to a Machine-Executable Plan	Ruocheng Wang (Stanford University)*; Yunzhi Zhang (Stanford University); Jiayuan Mao (MIT); Chin-Yi Cheng (Google Research); Jiajun Wu (Stanford University)	N/A	N/A
Cornerformer: Purifying Instances for Corner-based Detectors	Haoran Wei (University of Chinese Academy of Sciences)*; Xin Chen (Huawei Inc.); Lingxi Xie (Huawei Inc.); Qi Tian (Huawei Cloud & AI)	N/A	N/A
Contributions of Shape, Texture, and Color in Visual Recognition	Yunhao Ge (University of Southern California)*; Yao Xiao (University of Southern California); Zhi Xu (University of Southern California); Xingrui Wang (University of Southern California); Laurent Itti (University of Southern California)	N/A	N/A
Monitored Distillation for Positive Congruent Depth Completion	Tian Yu Liu (UCLA); Parth Agrawal (UCLA); Allison Y Chen (University of California, Los Angeles); Byung-Woo Hong (Chung-Ang University); Alex Wong (Yale University)*	N/A	N/A
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian	Zhiwen Cao (Purdue University); Dongfang Liu (Rochester Institute of Technology)*; Qifan Wang (Meta AI); Yingjie Victor Chen (Purdue University)	N/A	N/A
AirDet: Few-Shot Detection without Fine-tuning for Autonomous Exploration	Bowen Li (Tongji University)*; Chen Wang (Carnegie Mellon University); Pranay Reddy Anthireddy (Indian Institute of Information Technology, Design and Manufacturing, Jabalpur); Seungchan Kim (Carnegie Mellon University); Sebastian Scherer (Carnegie Mellon University)	N/A	N/A
Learning to Weight Samples for Dynamic Early-exiting Networks	Yizeng Han (Tsinghua University); Yifan Pu (Tsinghua University); Zihang Lai (CMU); Chaofei Wang (Tsinghua University); Shiji Song (Department of Automation, Tsinghua University); cao junfeng (CMRI); Wenhui Huang (CMRI); Chao Deng (China Mobile Research Institute); Gao Huang (Tsinghua)*	N/A	N/A
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning	K L Navaneet (University of California, Davis); Soroush Abbasi Koohpayegani (University of Maryland Baltimore County)*; Ajinkya B Tejankar (UMBC); Kossar Pourahmadi Meibodi (University of Maryland, Baltimore County); Akshayvarun Subramanya (UMBC); Hamed Pirsiavash (University of California Davis)	N/A	N/A
SLIP: Self-supervision meets Language-Image Pre-training	Norman Mu (University of California, Berkeley)*; Alexander Kirillov (Facebook AI Reserach); David Wagner (UC Berkeley); Saining Xie (Facebook AI Research)	N/A	N/A
Learning Visual Styles from Audio-Visual Associations	Tingle Li (Tsinghua University)*; Yichen Liu (Tsinghua University); Andrew Owens (U Michigan); Hang Zhao (Tsinghua University)	N/A	N/A
Dynamic Low-Resolution Distillation for Cost-Efficient End-to-End Text Spotting	Ying Chen (Hikvision Research Institute); Liang Qiao (Zhejiang University & Hikvision Research Institute)*; Zhanzhan Cheng (Zhejiang University & Hikvision Research Institute); Shiliang Pu (Hikvision Research Institute); Yi Niu (Hikvision Research Institute); Xi Li (Zhejiang University)	N/A	N/A
Prompting Visual-Language Models for Efficient Video Understanding	Chen Ju (Cooperative Medianet Innovation Center, Shang hai Jiao Tong University); Tengda Han (University of Oxford); Kunhao Zheng (Shanghai Jiaotong University); Ya Zhang (Cooperative Medianet Innovation Center, Shang hai Jiao Tong University); Weidi Xie (Shanghai Jiao Tong University)*	N/A	N/A
One-Trimap Video Matting	Hongje Seong (Yonsei University)*; Seoung Wug Oh (Adobe Research); Brian Price (Adobe); Euntai Kim (Yonsei University); Joon-Young Lee (Adobe Research)	N/A	N/A
Contrastive Learning for Diverse Disentangled Foreground Generation	Yuheng Li (UW Madison)*; Yijun Li (Adobe Research); Jingwan Lu (Adobe Research ); Eli Shechtman (Adobe Research, US); Yong Jae Lee (University of Wisconsin-Madison); Krishna Kumar Singh (Adobe Research)	N/A	N/A
Resolution-free Point Cloud Sampling Network with Data Distillation	Tianxin Huang (Zhejiang University)*; Jiangning Zhang (Zhejiang University); Jun Chen (Zhejiang University); Yuang Liu (Zhejiang University); Yong Liu (Zhejiang University)	N/A	N/A
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning	Changgyoon Oh (KAIST)*; Wonjune Cho (NAVER LABS); Yujeong Chae (KAIST); Daehee Park (KAIST); Lin Wang (HKUST); Kuk-Jin Yoon (KAIST)	N/A	N/A
Augmentation of rPPG Benchmark Datasets: Learning to Remove and Embed rPPG Signals via Double Cycle Consistent Learning from Unpaired Facial Videos	WEI-HAO Chung (National Tsing Hua University)*; CHENG-JU HSIEH (National Tsing Hua University); Chiou-Ting Hsu (National Tsing Hua University)	N/A	N/A
Fabric Material Recovery from Video Using Multi-Scale Geometric Auto-Encoder	Junbang Liang (University of Maryland, College Park)*; Ming C Lin (UMD-CP & UNC-CH )	N/A	N/A
An Invisible Black-box Backdoor Attack through Frequency Domain	Tong Wang (Nanjing University); Yuan Yao (Nanjing University)*; Feng Xu (Nanjing University); Shengwei An (Purdue University); Hanghang Tong (University of Illinois at Urbana-Champaign); Ting Wang (Penn State)	N/A	N/A
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution	Xiaoyu Dong (The University of Tokyo / RIKEN AIP); Naoto Yokoya (The University of Tokyo)*; Longguang Wang (National University of Defense Technology); Tatsumi Uezato (Hitachi, Ltd)	N/A	N/A
TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance	Hongtao Wen (Dalian University of Technology); Jianhang Yan (Dalian University of Technology); Wanli Peng (Dalian University of Technology)*; Yi Sun (Dalian University of Technology)	N/A	N/A
Learning Instance and Task-Aware Dynamic Kernels for Few-shot Learning	Rongkai Ma (Monash University)*; Pengfei Fang (The Australian National University); Gil Avraham (Monash University); Yan Zuo (CSIRO); Tianyu Zhu (Monash University); Tom Drummond (University of Melbourne); Mehrtash Harandi (Monash University)	N/A	N/A
PillarNet: Real-Time and High-Performance Pillar-based 3D Object Detection	Guangsheng Shi (Harbin Institute of Technology)*; Ruifeng Li (Harbin Institute of Technology); Chao Ma (Shanghai Jiao Tong University)	N/A	N/A
Robust Object Detection With Inaccurate Bounding Boxes	Chengxin Liu (Huazhong University of Science and Technology); Kewei Wang (Huazhong Univ. of Sci.&Tech.); Hao Lu (Huazhong University of Science and Technology); Zhiguo Cao (Huazhong Univ. of Sci.&Tech.)*; Ziming Zhang (Worcester Polytechnic Institute)	N/A	N/A
Revisiting the Critical Factors of Augmentation-Invariant Representation Learning	Junqiang Huang (MEGVII Technology)*; Xiangwen Kong (MEGVII Technology); Xiangyu Zhang (Megvii Technology)	N/A	N/A
A Fast Knowledge Distillation Framework for Visual Recognition	Zhiqiang Shen (Carnegie Mellon University)*; Eric Xing (MBZUAI, CMU, and Petuum Inc.)	N/A	N/A
MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment	Jie Ren (Megvii Inc.); Wenteng Liang (Megvii); Ran Yan (Megvii)*; Luo Mai (University of Edinburgh); Shiwen Liu (Megvii); Xiao Liu (Megvii Inc)	N/A	N/A
Spectrum-aware and Transferable Architecture Search for Hyperspectral Image Restoration	Wei He (Wuhan University)*; Quanming Yao (Tsinghua University); Naoto Yokoya (The University of Tokyo); Tatsumi Uezato (Hitachi, Ltd); Hongyan Zhang (Wuhan University); Liangpei Zhang (Wuhan University)	N/A	N/A
Boosting Transferability of Targeted Adversarial Examples via Hierarchical Generative Networks	Xiao Yang (Tsinghua University)*; Yinpeng Dong (Tsinghua University); Tianyu Pang (Sea AI Lab); Hang Su (Tsinghua Univiersity); Jun Zhu (Tsinghua University)	N/A	N/A
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks	Qianjiang Hu (Peking University); Daizong Liu (Peking University); Wei Hu (Peking University)*	N/A	N/A
Geometry-aware Single-image Full-body Human Relighting	Chaonan Ji (Tsinghua University); Tao Yu (Tsinghua University); Kaiwen Guo (Google); JINGXIN LIU (OPPO); Yebin Liu (Tsinghua University)*	N/A	N/A
Optical Flow Training under Limited Label Budget via Active Learning	Shuai Yuan (Duke University)*; Xian Sun (Duke University); Hannah H Kim (Duke University); Shuzhi Yu (Duke University); Carlo Tomasi (Duke University)	N/A	N/A
RVSL: Robust Vehicle Similarity Learning in Real Hazy Scenes Based on Semi-supervised Learning	Wei-Ting Chen (National Taiwan University)*; I-HSIANG CHEN (National Taiwan University); CHIH-YUAN YEH (National Taiwan University); Hao-Hsiang Yang (National Taiwan University); Hua-En Chang (National Taiwan University); Jian-Jiun Ding (National Taiwan University); Sy-Yen Kuo (National Taiwan University)	N/A	N/A
Hierarchical Feature Embedding for Visual Tracking	Zhixiong Pi (Huazhong University of Science and Technology)*; Weitao Wan (Tencent); Chong Sun (Tencent Wechat); Changxin Gao (Huazhong University of Science and Technology); Nong Sang (Huazhong University of Science and Technology); Chen Li (Tencent)	N/A	N/A
Neural Color Operators for Sequential Image Retouching	YILI WANG (Tsinghua University); Xin Li (Baidu); Kun Xu (Tsinghua University)*; Dongliang He (Baidu); Qi Zhang (baidu); Fu Li (Baidu); Errui Ding (Baidu Inc.)	N/A	N/A
Optimizing Image Compression via Joint Learning with Denoising	Ka Leong Cheng (The Hong Kong University of Science and Technology); Yueqi Xie (The Hong Kong University of Science and Technology); Qifeng Chen (HKUST)*	N/A	N/A
DICE: Leveraging Sparsification for Out-of-Distribution Detection	Yiyou Sun (University of Wisconsin Madison); Yixuan Li (University of Wisconsin-Madison)*	N/A	N/A
DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting	Jihyong Oh (KAIST)*; Munchurl Kim (Korea Advanced Institute of Science and Technology)	N/A	N/A
Invariant Feature Learning for Generalized Long-Tailed Classification	Kaihua Tang (Nanyang Technological University)*; Mingyuan Tao (Damo Academy, Alibaba Group); Jiaxin Qi (Nanyang Technological University); Zhenguang Liu (Zhejiang University); Hanwang Zhang (Nanyang Technological University)	N/A	N/A
Fine-Grained Visual Entailment	Christopher L Thomas (Columbia University)*; Yipeng Zhang (Columbia University); Shih-Fu Chang (Columbia University)	N/A	N/A
Sliced Recursive Transformer	Zhiqiang Shen (Carnegie Mellon University)*; Zechun Liu (Carnegie Mellon University); Eric Xing (MBZUAI, CMU, and Petuum Inc.)	N/A	N/A
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval	Fan Hu (Renmin University of China); Aozhu Chen (Renmin University of China); Ziyue Wang (Renmin University of China); Fangming Zhou (Renmin University of China); Jianfeng Dong (Zhejiang Gongshang University); Xirong Li (Renmin University of China)*	N/A	N/A
Asymmetric Relation Consistency Reasoning for Video Relation Grounding	Huan Li (Xi’an Jiaotong University); Ping Wei (Xi’an Jiaotong University)*; Jiapeng Li (Xi’an Jiaotong University); Zeyu Ma (Xi’an Jiaotong University); Jiahui Shang (Xi’an Jiaotong University); Nanning Zheng (Xi’an Jiaotong University)	N/A	N/A
PETR: Position Embedding Transformation for Multi-View 3D Object Detection	Yingfei Liu (Megvii Technology); Tiancai Wang ( Megvii Technology)*; Xiangyu Zhang (Megvii Technology); Jian Sun (Megvii Technology)	N/A	N/A
Contextual Text Block Detection towards Scene Text Understanding	Chuhui Xue (Nanyang Technological University); Jiaxing Huang (Nanyang Technological University); Wenqing Zhang (ByteDance); Shijian Lu (Nanyang Technological University)*; Changhu Wang (ByteDance.Inc); Song Bai (University of Oxford)	N/A	N/A
Structure-aware Editable Morphable Model for 3D Facial Detail Animation and Manipulation	Jingwang Ling (Tsinghua University); Zhibo Wang (Tsinghua University); Ming Lu (Intel Labs China); Quan Wang (Sensetime); Chen Qian (SenseTime); Feng Xu (Tsinghua University)*	N/A	N/A
UniNet: Unified Architecture Search with Convolution, Transformer, and MLP	Jihao Liu (Sensetime)*; Xin Huang (Waseda University); Guanglu Song (Sensetime); Hongsheng Li (The Chinese University of Hong Kong); Yu Liu (SenseTime Group LTD)	N/A	N/A
Efficient Decoder-free Object Detection with Transformers	Peixian Chen (Youtu Tencent); mengdan zhang (Youtu, Tencent); Yunhang Shen (Xiamen University); Kekai Sheng (Youtu Lab, Tencent Inc.); Yuting Gao (tencent); Xing Sun (Shopee); Ke Li (Tencent)*; Chunhua Shen (“University of Adelaide, Australia”)	N/A	N/A
Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation	William McNally (University of Waterloo)*; Kanav Vats (University of Waterloo); Alexander Wong (University of Waterloo); John McPhee (University of Waterloo)	N/A	N/A
CA-SSL: Class-Agnostic Semi-Supervised Learning for Detection and Segmentation	Lu Qi (The Chinese University of Hong Kong)*; Jason Kuen (Adobe Research); Zhe Lin (Adobe Research); Jiuxiang Gu (Adobe Research); Fengyun Rao (Tencent); Dian Li (Tencent.com); Weidong Guo (Tencent); Zhen Wen (Tencent Technology (Shenzhen) Co., Ltd); Ming-Hsuan Yang (University of California at Merced); Jiaya Jia (Chinese University of Hong Kong)	N/A	N/A
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning	Jinghuan Shang (Stony Brook University)*; Kumara Kahatapitiya (Stony Brook University); Xiang Li (Stony Brook University); Michael S Ryoo (Stony Brook/Google)	N/A	N/A
S2Net: Stochastic Sequential Pointcloud Forecasting	Xinshuo Weng (NVIDIA Research)*; Junyu Nan (Carnegie Mellon University); Kuan-Hui Lee (Toyota Research Institute); Rowan McAllister (Toyota Research Institute); Adrien Gaidon (Toyota Research Institute); Nicholas Rhinehart (UC Berkeley); Kris Kitani (Carnegie Mellon University)	N/A	N/A
D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding	Zhenyu Chen (Technical University of Munich)*; Qirui Wu (Simon Fraser University); Matthias Niessner (Technical University of Munich); Angel X Chang (Simon Fraser University)	N/A	N/A
AMixer: Adaptive Weight Mixing for Self-Attention Free Vision Transformers	Yongming Rao (Tsinghua University); Wenliang Zhao (Tsinghua University); Jie Zhou (Tsinghua University); Jiwen Lu (Tsinghua University)*	N/A	N/A
Neural Image Representations for Multi-Image Fusion and Layer Separation	Seonghyeon Nam (York University); Marcus A Brubaker (York University); Michael S Brown (York University)*	N/A	N/A
Panoramic Human Activity Recognition	Ruize Han (College of Intelligence and Computing, Tianjin University); Haomin Yan (Tianjin University); Jiacheng Li (College of Intelligence and Computing, Tianjin University); Songmiao Wang (Tianjin University); Wei Feng (College of Intelligence and Computing, Tianjin University, China)*; Song Wang (University of South Carolina)	N/A	N/A
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution	Yushu Wu (Northeastern University)*; Yifan Gong (Northeastern University); Pu Zhao (Northeastern University); Yanyu Li (Northeastern University); Zheng Zhan (Northeastern University); Wei Niu (William & Mary); Hao Tang (ETH Zurich); Minghai Qin (Western Digital Research); Bin Ren (William & Mary); Yanzhi Wang (Northeastern University)	N/A	N/A
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation	Zhonghua Wu (Nanyang Technological University)*; Yicheng Wu (Monash University); Guosheng Lin (Nanyang Technological University); Jianfei Cai (Monash University); Chen Qian (SenseTime)	N/A	N/A
Modality Synergy Complement Learning with Cascaded Aggregation for Visible-Infrared Person Re-Identification	Yiyuan Zhang (Beijing Institute of Technology); Sanyuan Zhao (Beijing Institute of Technology )*; Yuhao Kang (Beijing Institute of Technology); Jianbing Shen (Inception Institute of Artificial Intelligence)	N/A	N/A
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation	Mu He (Nanjing University of Science and Technology)*; Le Hui (Nanjing University of Science and Technology); Yikai Bian (Nanjing University of Science and Technology); Jian Ren (Nanjing University of Science and Technology); Jin Xie (Nanjing University of Science and Technology); Jian Yang (Nanjing University of Science and Technology)	N/A	N/A
MoFaNeRF: Morphable Facial Neural Radiance Field	Yiyu Zhuang (Nanjing University); Hao Zhu (Nanjing University)*; Xusen Sun (Nanjing University); Xun Cao (Nanjing University)	N/A	N/A
Visual Cross-View Metric Localization with Dense Uncertainty Estimates	Zimin Xia (Delft University of Technology)*; Olaf Booij (TomTom); Marco Manfredi (TomTom); Julian F P Kooij (Delft University of Technology)	N/A	N/A
The One Where They Reconstructed 3D Humans and Environments in TV Shows	Georgios Pavlakos (UC Berkeley)*; Ethan Weber (UC Berkeley); Matthew Tancik (UC Berkeley); Angjoo Kanazawa (University of California Berkeley)	N/A	N/A
PointInst3D: Segmenting 3D Instances by Points	Tong He (University of Adelaide)*; Wei Yin (University of Adelaide); Chunhua Shen (“University of Adelaide, Australia”); Anton van den Hengel (University of Adelaide)	N/A	N/A
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation	Haobo Yuan (Wuhan University)*; Xiangtai Li (Peking University); Yibo Yang (Peking University); Guangliang Cheng (Sensetime Group Limited); Jing Zhang (The University of Sydney); Yunhai Tong (Peking University); Lefei Zhang (Wuhan University); Dacheng Tao (JD.com)	N/A	N/A
Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap	Yongwei Chen (South China University of Technology); ZiHao Wang (South China University of Technology); Longkun Zou (South China University of Technology); Ke Chen (South China University of Technology); Kui Jia (South China University of Technology)*	N/A	N/A
TinyViT: Fast Pretraining Distillation for Small Vision Transformers	Kan Wu (Sun Yat-sen University); Jinnian Zhang (University of Wisconsin Madison); Houwen Peng (Microsoft Research)*; Mengchen Liu (Microsoft); Bin Xiao (Microsoft); Jianlong Fu (Microsoft Research); Lu Yuan (Microsoft)	N/A	N/A
VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data	Jiajun Su (Peking University)*; Chunyu Wang (Microsoft Research asia); Xiaoxuan Ma (Peking University); Wenjun Zeng (EIT Institute for Advanced Study); Yizhou Wang (PKU)	N/A	N/A
Poseur: Direct Human Pose Regression with Transformers	Weian Mao (the university of adelaide)*; Yongtao Ge (The University of Adelaide); Chunhua Shen (“University of Adelaide, Australia”); Xinlong Wang (University of Adelaide); Zhi Tian (Meituan); Zhibin Wang (Alibaba Group); Anton van den Hengel (University of Adelaide)	N/A	N/A
Adaptive Image Transformations for Transfer-based Adversarial Attack	Zheng Yuan (Institute of Computing Technology, Chinese Academy of Sciences); Jie Zhang (ICT, CAS)*; Shiguang Shan (Institute of Computing Technology, Chinese Academy of Sciences)	N/A	N/A
D2ADA: Dynamic Density-aware Active Domain Adaptation for Semantic Segmentation	Tsung-Han Wu (National Taiwan University)*; Yi-Syuan Liou (National Taiwan University); Shao-Ji Yuan (National Taiwan University); Hsin-Ying Lee (National Taiwan University); Tung-I Chen (National Taiwan University); Kuan-Chih Huang (National Taiwan University); Winston H. Hsu (National Taiwan University)	N/A	N/A
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds	Qingyong Hu (University of Oxford); Bo Yang (The Hong Kong Polytechnic University)*; Guangchi Fang (Sun Yat-sen University); Yulan Guo (Sun Yat-sen University); Ales Leonardis (University of Birmingham); Niki Trigoni (University of Oxford); Andrew Markham (University of Oxford)	N/A	N/A
Deep Portrait Delighting	Joshua William Weir (Victoria University of Wellington)*; Junhong Zhao (CMIC); Andrew Chalmers (CMIC); Taehyun Rhee (Victoria University of Wellington)	N/A	N/A
Vector Quantized Image-to-Image Translation	Yu-Jie Chen (National Chiao Tung University); Shin-I Cheng (National Chiao Tung University); Wei-Chen Chiu (National Chiao Tung University)*; Hung-Yu Tseng (Facebook); Hsin-Ying Lee (Snap Inc)	N/A	N/A
PointMixer: MLP-Mixer for Point Cloud Understanding	Jaesung Choe (KAIST)*; Chunghyun Park (POSTECH); Francois Rameau (KAIST); Jaesik Park (POSTECH); In So Kweon (KAIST)	N/A	N/A
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer	Runsheng Xu (University of California, Los Angeles); Hao Xiang (University of California, Los Angeles); Zhengzhong Tu (University of Texas at Austin); Xin Xia (University of California, Los Angeles); Ming-Hsuan Yang (University of California at Merced); Jiaqi Ma (University of California, Los Angeles)*	N/A	N/A
Cross-Domain Ensemble Distillation for Domain Generalization	Kyungmoon Lee (POSTECH)*; Sungyeon Kim (POSTECH); Suha Kwak (POSTECH)	N/A	N/A
Cross-Modal 3D Shape Generation and Manipulation	Zezhou Cheng (University of Massachusetts, Amherst)*; Menglei Chai (Snap Inc.); Jian Ren (Snap Inc.); Hsin-Ying Lee (Snap Inc); Kyle B Olszewski (Snap Inc.); Zeng Huang (Snap Inc.); Subhransu Maji (University of Massachusetts, Amherst); Sergey Tulyakov (Snap Inc)	N/A	N/A
Latent Partition Implicit with Surface Codes for 3D Representation	Chao Chen (Tsinghua University); Yu-Shen Liu (Tsinghua University)*; Zhizhong Han (Wayne State University)	N/A	N/A
FILM: Frame Interpolation for Large Motion	Fitsum Reda (Google)*; Janne Kontkanen (Google); Eric Tabellion (Google); Deqing Sun (Google); Caroline Pantofaru (Google Research); Brian Curless (University of Washington)	N/A	N/A
Facial Depth and Normal Estimation using Single Dual-Pixel Camera	Minjun Kang (KAIST)*; Jaesung Choe (KAIST); Hyowon Ha (Facebook); Hae-Gon Jeon (GIST); Sunghoon Im (DGIST); In So Kweon (KAIST); Kuk-Jin Yoon (KAIST)	N/A	N/A
Initialization and Alignment for Adversarial Texture Optimization	Xiaoming Zhao (University of Illinois at Urbana-Champaign)*; Zhizhen Zhao (University of Illinois at Urbana-Champaign); Alexander Schwing (UIUC)	N/A	N/A
Regularizing Vector Embedding in Bottom-Up Human Pose Estimation	Haixin Wang (School of Artificial Intelligence, University of Chinese Academy of Sciences)*; lu zhou (CASIA); Yingying Chen (CASIA); Ming Tang (Institute of Automation, Chinese Academy of Sciences); Jinqiao Wang (Institute of Automation, Chinese Academy of Sciences)	N/A	N/A
Equivariant Hypergraph Neural Networks	Jinwoo Kim (KAIST); Saeyoon Oh (KAIST); Sungjun Cho (LG AI Research); Seunghoon Hong (KAIST)*	N/A	N/A
Learning Quality-aware Dynamic Memory for Video Object Segmentation	Yong Liu (Tsinghua University)*; Ran Yu (Tsinghua university); Fei Yin (Tsinghua University); Xinyuan Zhao (Huawei); Wei Zhao (Huawei); Weihao Xia (University College London); Yujiu Yang (Tsinghua University)	N/A	N/A
Neural Scene Decoration from a Single Photograph	Hong Wing Pang (The Hong Kong University of Science and Technology)*; Yingshu Chen ( The Hong Kong University of Science and Technology); Phuoc-Hieu T. Le (VinAI Research); Binh-Son Hua (VinAI Research); Thanh Nguyen (Deakin University, Australia); Sai-Kit Yeung (Hong Kong University of Science and Technology)	N/A	N/A
Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds	Ayush Jain (Carnegie Mellon University)*; Nikolaos Gkanatsios (Carnegie Mellon University); Ishita Mediratta (Meta AI); Katerina Fragkiadaki (Carnegie Mellon University)	N/A	N/A
CIRCLE:Convolutional Implicit Reconstruction and Completion for Large-scale Indoor Scene	Hao-Xiang Chen (Tsinghua University)*; Jiahui Huang (Tsinghua University); Tai-Jiang Mu (Tsinghua University); Shi-Min Hu (Tsinghua University)	N/A	N/A
Discovering Deformable Keypoint Pyramids	Jianing Qian (University of Pennsylvania)*; Anastasios Panagopoulos (University of Pennsylvania); Dinesh Jayaraman (University of Pennsylvania)	N/A	N/A
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors	Gabriel Sarch (Carnegie Mellon University)*; Zhaoyuan Fang (Carnegie Mellon University); Adam Harley (Carnegie Mellon University); Paul Schydlo (Carnegie Mellon University); Michael J Tarr (Carnegie Mellon University); Saurabh Gupta (UIUC); Katerina Fragkiadaki (Carnegie Mellon University)	N/A	N/A
MOTR: End-to-End Multiple-Object Tracking with TRansformer	Fangao Zeng (Megvii Technology); Bin Dong (Megvii Technology); Yuang Zhang (Shanghai Jiao Tong University); Tiancai Wang ( Megvii Technology)*; Xiangyu Zhang (Megvii Technology); Yichen Wei (Megvii Research Shanghai)	N/A	N/A
K-centered Patch Sampling for Efficient Video Recognition	Seong Hyeon Park (KAIST AI)*; Jihoon Tack (KAIST); Byeongho Heo (NAVER AI LAB); Jung-Woo Ha (NAVER CLOVA AI Lab); Jinwoo Shin (KAIST)	N/A	N/A
Learning Implicit Feature Alignment Function for Semantic Segmentation	Hanzhe Hu (Peking University)*; Yinbo Chen (UC San Diego); Jiarui Xu (University of California San Diego); Shubhankar Borse (Qualcomm AI Research ); Hong Cai (Qualcomm AI Research); Fatih Porikli (Qualcomm AI Research); Xiaolong Wang (UCSD)	N/A	N/A
A Visual Navigation Perspective for Category-Level Object Pose Estimation	Jiaxin Guo (Zhejiang University)*; Yiyi Liao (MPI-IS and University of Tübingen); Zhong Fangxun (CUHK); Rong Xiong (Zhejiang University); Yunhui Liu (CUHK); Yue Wang (Zhejiang University)	N/A	N/A
ScaleNet: Searching for the Model to Scale	Jiyang Xie (Huawei Noah’s Ark Lab); Xiu Su (University of Sydney); Shan You (SenseTime); Zhanyu Ma (Beijing University of Posts and Telecommunications)*; Fei Wang (University of Science and Technology of China); Chen Qian (SenseTime)	N/A	N/A
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels	Ganlong Zhao (The University of Hong Kong); Guanbin Li (Sun Yat-sen University)*; Yipeng Qin (Cardiff University); Feng Liu (Deepwise AI Lab); Yizhou Yu (The University of Hong Kong)	N/A	N/A
GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing	Sijie Zhu (University of Central Florida)*; Zhe Lin (Adobe Research); Scott Cohen (Adobe Research); Jason Kuen (Adobe Research); Zhifei Zhang (Adobe Research); Chen Chen (University of Central Florida)	N/A	N/A
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification	Xiaofeng Lin (University of California – Los Angeles); Seungbae Kim (University of South Florida); Jungseock Joo (University of California Los Angeles)*	N/A	N/A
Tackling Background Distraction in Video Object Segmentation	Suhwan Cho (Yonsei University)*; Heansung Lee (Yonsei University); Minhyeok Lee ( Yonsei University); Chaewon Park (Yonsei University); Sungjun Jang (Yonsei University); Minjung Kim (Yonsei University); Sangyoun Lee (Yonsei University)	N/A	N/A
Hyperspherical Learning in Multi-Label Classification	Bo Ke (Tencent Youtu Lab)*; yunquan zhu (Tencent YouTu Lab); Mengtian Li (East China Normal University); Xiujun shu (Tencent Toutu Lab); Ruizhi Qiao (Tencent Youtu Lab); Bo Ren (Tencent)	N/A	N/A
The Surprisingly Straightforward Scene Text Removal Method With Gated Attention and Region of Interest Generation: A Comprehensive Prominent Model Analysis	Hyeonsu Lee (Naver Corporation)*; Chankyu Choi (Naver Corporation)	N/A	N/A
FingerprintNet: Synthesized Fingerprints for Generated Image Detection	Yonghyun Jeong (NAVER CLOVA)*; Doyeon Kim (Line+); Youngmin Ro (Samsung SDS); pyounggeon kim (SDS); Jongwon Choi (Chung-Ang University)	N/A	N/A
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the Wild	Wang Zhao (Tsinghua University)*; Shaohui Liu (ETH Zurich); Hengkai Guo (ByteDance AI Lab); Wenping Wang (The University of Hong Kong); Yong-Jin Liu (Tsinghua University)	N/A	N/A
Free-Viewpoint RGB-D Human Performance Capture and Rendering	Phong Ha Nguyen (University of Oulu)*; Nikolaos Sarafianos (Facebook Reality Labs); Christoph Lassner (Meta Reality Labs Research); Janne Heikkila (University of Oulu, Finland); Tony Tung (Facebook)	N/A	N/A
When Active Learning Meets Implicit Semantic Data Augmentation	zhuangzhuang chen (shenzhen university); Jin Zhang (Shenzhen University); Pan Wang (Shenzhen University); Jie Chen (Shenzhen University); Jianqiang Li (Shenzhen University)*	N/A	N/A
Multiview Regenerative Morphing with Dual Flows	Chih-Jung Tsai (National Tsing Hua University); Cheng Sun (National Tsing Hua University); Hwann-Tzong Chen (National Tsing Hua University)*	N/A	N/A
Frequency and Spatial Dual Guidance for Image Dehazing	Hu Yu (University of Science and Technology of China); Naishan Zheng (University of Science and Technology of China); man zhou (University of Science and Technology of China); Jie Huang (University of Science and Technology of China); Zeyu Xiao (University of Science and Technology of China); Feng Zhao (University of Science and Technology of China)*	N/A	N/A
The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing	Dawit Mureja Argaw (KAIST)*; Fabian Caba (Adobe Research); Joon-Young Lee (Adobe Research); Markus Woodson (Adobe); In So Kweon (KAIST)	N/A	N/A
Hallucinating Pose-Compatible Scenes	Tim Brooks (UC Berkeley)*; Alexei A Efros (UC Berkeley)	N/A	N/A
Faster VoxelPose: Real-time 3D Human Pose Estimation by Orthographic Projection	Hang Ye (Peking University); Wentao Zhu (Peking University)*; Chunyu Wang (Microsoft Research asia); Rujie Wu (Peking University); Yizhou Wang (PKU)	N/A	N/A
Video Interpolation by Event-driven Anisotropic Adjustment of Optical Flow	Song Wu (Huawei Technologies Co., Ltd.); Kaichao You (Tsinghua Univ); Weihua He (Tsinghua University)*; Chen Yang (Peking University); Yang Tian (Tsinghua University); Yaoyuan Wang (Huawei Technologies Co., Ltd.); Jianxing Liao (HUAWEI TECHNOLOGIES CO.LTD); Ziyang Zhang (HUAWEI TECHNOLOGIES CO.LTD)	N/A	N/A
Motion and Appearance Adaptation for Cross-Domain Motion Transfer	Borun Xu (University of Electronic Science and Technology of China)*; Biao Wang (Alibaba Group); Jinhong Deng (University of Electronic Science and Technology of China); Jiale Tao (University of Electronic Science and Technology of China); Tiezheng Ge (Alibaba Group); Yuning Jiang (Alibaba Group); Wen Li (University of Electronic Science and Technology of China); Lixin Duan (University of Electronic Science and Technology of China)	N/A	N/A
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets	Zhijun Tu (Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong university)*; Xinghao Chen (Huawei Noah’s Ark Lab); Pengju Ren (Institute of Artificial Intelligence at Xi’an Jiaotong University); Yunhe Wang (Huawei Technologies)	N/A	N/A
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation	Abduallah A Mohamed (Meta)*; Deyao Zhu (King Abdullah University of Science and Technology); Warren Vu (The University of Texas at Austin); Mohamed Elhoseiny (KAUST); Christian Claudel (The university of Texas at Austin)	N/A	N/A
A Generalized & Robust Framework For Timestamp Supervision in Temporal Action Segmentation	Rahul Rahaman (National University of Singapore)*; Dipika Singhania (National University of Singapore); Alex Thiery (National University of Singapore); Angela Yao (National University of Singapore)	N/A	N/A
A Deep Moving-camera Background Model	Guy Erez (Ben Gurion University)*; Ron A Shapira Weber (Ben-Gurion University); Oren Freifeld (Ben-Gurion University)	N/A	N/A
DLME: Deep Local-flatness Manifold Embedding	Zelin Zang (Zhejiang University & Westlake University)*; Siyuan Li (Westlake University); di wu (Westlake University); Ge Wang (Westlake University); Kai Wang (National University of Singapore); Lei Shang (Alibaba Group); Baigui Sun (Alibaba Group); Hao Li (Alibaba Group); Stan Z. Li (Westlake University)	N/A	N/A
Neural Video Compression using GANs for Detail Synthesis and Propagation	Fabian Mentzer (Google)*; Eirikur Agustsson (Google); Johannes Ballé (Google); David Minnen (Google Inc.); Nick Johnston (Google); George Toderici (Google Research)	N/A	N/A
Few-shot Action Recognition with Hierarchical Matching and Contrastive Learning	Sipeng Zheng (Renmin University of China)*; Shizhe Chen (INRIA); Qin Jin (Renmin University of China)	N/A	N/A
Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation	Yinlin Hu (EPFL)*; Pascal Fua (EPFL, Switzerland); Mathieu Salzmann (EPFL)	N/A	N/A
TALISMAN: Targeted Active Learning for Object Detection with Rare Classes and Slices using Submodular Mutual Information	Suraj Kothawade (UT Dallas)*; Saikat Ghosh (University of Texas at Dallas); Sumit Shekhar (Adobe Research); Yu Xiang (The University of Texas at Dallas); Rishabh Iyer (University of Texas at Dallas)	N/A	N/A
New Datasets and Models for Contextual Reasoning in Visual Dialog	Yifeng Zhang (University of Minnesota, Twin Cities); Ming Jiang (University of Minnesota); Qi Zhao (University of Minnesota)*	N/A	N/A
Remote Respiration Monitoring of Moving Person Using Radio Signals	Jae-Ho Choi (Pohang University of Science and Technology)*; KIBONG KANG (POSTECH); Kyung-Tae Kim (Pohang University of Science and Technology)	N/A	N/A
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction	Yulong Cao (University of Michigan, Ann Arbor )*; Chaowei Xiao (NVIDIA); Anima Anandkumar (NVIDIA/Caltech); Danfei Xu (Stanford University); Marco Pavone (Stanford University)	N/A	N/A
Cross-Modality Transformer for Visible-Infrared Person Re-Identification	Kongzhu Jiang (University of Science and Technology of China)*; Tianzhu Zhang (University of Science and Technology of China); Xiang Liu (Dongguan University of Technology); Bingqiao Qian (University of Science and Technology of China); Yongdong Zhang (University of Science and Technology of China); Feng Wu (University of Science and Technology of China)	N/A	N/A
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition	Changyao Tian (Chinese University of Hong Kong); Wenhai Wang (Nanjing University); Xizhou Zhu (SenseTime); Jifeng Dai (SenseTime)*; Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)	N/A	N/A
Self-Supervised Classification Network	Elad Amrani (IBM / Technion)*; Leonid Karlinsky (IBM-Research); Alex Bronstein (Technion)	N/A	N/A
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction	Kaichen Zhou (University of Oxford)*; Lanqing Hong (Huawei Noah’s Ark Lab); Changhao Chen (National University of Defense Technology); Hang Xu (Huawei Noah’s Ark Lab); Chaoqiang Ye (Huawei); Qingyong Hu (University of Oxford); Zhenguo Li (Huawei Noah’s Ark Lab)	N/A	N/A
Bayesian Optimization with Clustering and Rollback for CNN Auto Pruning	Hanwei FAN (HKUST)*; Jiandong MU (HKUST); Wei Zhang (Hong Kong University of Science and Technology)	N/A	N/A
Towards Real-World HDRTV Reconstruction: A Data Synthesis-based Approach	Zhen Cheng (University of Science and Technology of China)*; Tao Wang (Huawei Noah’s Ark Lab); Yong Li (Huawei Noah’s Ark Lab); Fenglong Song (Huawei Noah’s Ark Lab); Chang Chen (Huawei Noah’s Ark Lab); Zhiwei Xiong (University of Science and Technology of China)	N/A	N/A
Quantum Motion Segmentation	Federica Arrigoni (University of Trento)*; Willi Menapace (University of Trento); Marcel Seelbach Benkner (University of Siegen); Elisa Ricci (University of Trento); Vladislav Golyanik (MPI for Informatics)	N/A	N/A
Open-world Semantic Segmentation via Contrasting and Clustering Vision-language Embedding	Quande Liu (The Chinese University of Hong Kong)*; Youpeng Wen (Dalian University of Technology); Jianhua Han (Huawei Noah’s Ark Lab); Chunjing Xu (Huawei Noah’s Ark Lab); Hang Xu (Huawei Noah’s Ark Lab); Xiaodan Liang (Sun Yat-sen University)	N/A	N/A
Custom Structure Preservation in Face Aging	Guillermo Gomez-Trenado (University of Granada)*; Stéphane Lathuilière (Telecom-Paris); Pablo Mesejo (University of Granada); Oscar Cordón García (University of Granada)	N/A	N/A
DANBO: Disentangled Articulated Neural Body Representations via Graph Neural Networks	Shih-Yang Su (University of British Columbia)*; Timur Bagautdinov (Facebook); Helge Rhodin (UBC)	N/A	N/A
Class Is Invariant to Context and Vice Versa: On Learning Invariance for Out-Of-Distribution Generalization	Jiaxin Qi (Nanyang Technological University)*; Kaihua Tang (Nanyang Technological University); Qianru Sun (Singapore Management University); Xian-Sheng Hua (Damo Academy, Alibaba Group); Hanwang Zhang (Nanyang Technological University)	N/A	N/A
Spatio-Temporal Deformable Attention Network for Video Deblurring	Huicong Zhang (Harbin Institute of Technology)*; Haozhe Xie (Tencent AI Lab); Hongxun Yao (Harbin Institute of Technology)	N/A	N/A
CHORE: Contact, Human and Object REconstruction from a single RGB image	Xianghui Xie (Saarland University )*; Bharat Lal Bhatnagar (University of Tübingen, MPI informatik); Gerard Pons-Moll (University of Tübingen)	N/A	N/A
Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction	Vincent LE GUEN (EDF R&D, CNAM)*; Clément Rambour (Cnam); Nicolas Thome (CNAM, Paris)	N/A	N/A
Learning Discriminative Shrinkage Deep Networks for Image Deconvolution	Pin-Hung Kuo (National Taiwan University)*; Jinshan Pan (Nanjing University of Science and Technology); Shao-Yi Chien (National Taiwan University); Ming-Hsuan Yang (University of California at Merced)	N/A	N/A
Camera Pose Estimation and Localization with Active Audio Sensing	Karren D Yang (MIT); Michael Firman (Niantic); Eric Brachmann (Niantic)*; Clement LJC Godard (Niantic)	N/A	N/A
Learning Efficient Multi-Agent Cooperative Visual Exploration	Chao Yu (Tsinghua University); Xinyi Yang (Tinghua University)*; Jiaxuan Gao (Tsinghua University); Huazhong Yang (Tsinghua University); Yu Wang (Tsinghua University); Yi Wu (Tsinghua University)	N/A	N/A
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding	Yujin Chen (Technical University of Munich)*; Matthias Niessner (Technical University of Munich); Angela Dai (Technical University of Munich)	N/A	N/A
Learned Vertex Descent: A New Direction for 3D Human Model Fitting	Enric Corona (IRI)*; Gerard Pons-Moll (University of Tübingen); Guillem Alenyà (IRI); Francesc Moreno (IRI)	N/A	N/A
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection	Gaoang Wang (Zhejiang University); Yibing Zhan (JD Explore Academy); Xinchao Wang (National University of Singapore); Mingli Song (Zhejiang University)*; Klara Nahrstedt (University of Illinois at Urbana-Champaign)	N/A	N/A
Learning to Fit Morphable Models	Vasileios Choutas (ETH Zurich)*; Federica Bogo (Meta); Jingjing Shen (Microsoft); Julien Valentin (Microsoft)	N/A	N/A
Few-Shot Classification with Contrastive Learning	Zhanyuan Yang (Shenzhen University); Jinghua Wang (Harbin Institute of Technology); Yingying Zhu (Shenzhen University)*	N/A	N/A
ARM: Any-Time Super-Resolution Method	Bohong Chen (Xiamen University)*; Mingbao Lin (Xiamen University, China); Kekai Sheng (Youtu Lab, Tencent Inc.); mengdan zhang (Youtu, Tencent); Peixian Chen (Youtu Tencent); Ke Li (Tencent); Liujuan Cao (Xiamen University); Rongrong Ji (Xiamen University, China)	N/A	N/A
Tracking Every Thing in the Wild	Siyuan Li (ETH Zurich)*; Martin Danelljan (ETH Zurich); Henghui Ding (ETH Zurich); Thomas E Huang (ETH Zürich); Fisher Yu (ETH Zurich)	N/A	N/A
Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks	Shota Hattori (The University of Tokyo)*; Tatsuya Yatagawa (The University of Tokyo); Yutaka Ohtake (The University of Tokyo); Suzuki Hiromasa (The University of Tokyo)	N/A	N/A
Few Zero Level Set-Shot Learning of Shape Signed Distance Functions in Feature Space	Amine Ouasfi (IMT Atlantique ); Adnane Boukhayma (Inria)*	N/A	N/A
Attention-aware Learning for Hyperparameters Prediction in Image Processing Pipelines	Haina Qin (University of Chinese Academy of Sciences); Longfei Han (Beijing Technology and Business University); Juan Wang (Institute of Automation, Chinese Academy of Sciences); Congxuan Zhang (Nanchang Hangkong University); Bing Li (National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences)*; Weiming Hu (Institute of Automation，Chinese Academy of Sciences); Yanwei Li (Zeku Technology(Shanghai) Corp.,Ltd.)	N/A	N/A
Attaining Class-level Forgetting in Pretrained Model using Few Samples	Pravendra Singh (IIT Roorkee); Pratik Mazumder (Indian Institute of Technology Jodhpur)*; Mohammed Asad Karim (Carnegie Mellon University)	N/A	N/A
Data Invariants to Understand Unsupervised Out-of-Distribution Detection	Lars Doorenbos (University of Bern)*; Raphael Sznitman (University of Bern); Pablo Márquez Neila (University of Bern)	N/A	N/A
STEEX: Steering Counterfactual Explanations with Semantics	Paul Jacob (École Polytechnique ); eloi zablocki (Valeo.ai)*; Hedi Ben-younes (Valeo AI); Mickael Chen (valeo.ai); Patrick Pérez (Valeo.ai); Matthieu Cord (Sorbonne University)	N/A	N/A
Outpainting by Queries	Kai Yao (Xi’an Jiaotong-liverpool University); Penglei Gao (Xi’an Jiaotong-Liverpool University); Xi Yang (Xi’an Jiaotong Liverpool University ); jie Sun (Xi’an Jiaotong-Liverpool University ); Rui Zhang (Xi’an Jiaotong-Liverpool University); Kaizhu Huang (Duke Kunshan University)*	N/A	N/A
HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance	Soshi Shimada (MPI for Informatics)*; Vladislav Golyanik (MPI for Informatics); Zhi Li (Max Planck Institute for Informatics); Patrick Pérez (Valeo.ai); Weipeng Xu (Reality Labs Research); Christian Theobalt (MPI Informatik)	N/A	N/A
Interpretable Open-Set Domain Adaptation via Angular Margin Separation	Xinhao Li (University of Electronic Science and Technology of China); Jingjing Li (University of Electronic Science and Technology of China)*; Zhekai Du (University of Electronic Science and Technology of China); Lei Zhu (Shandong Normal Unversity); Wen Li (University of Electronic Science and Technology of China)	N/A	N/A
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices	Siwei Zhang (ETH Zurich)*; Qianli Ma (Max Planck Institute for Intelligent Systems); Yan Zhang (ETH Zurich); Zhiyin Qian (ETH Zürich); Taein Kwon (ETH Zurich); Marc Pollefeys (ETH Zurich / Microsoft); Federica Bogo (Meta); Siyu Tang (ETH Zurich)	N/A	N/A
ViTAS: Vision Transformer Architecture Search	Xiu Su (University of Sydney); Shan You (SenseTime)*; Jiyang Xie (Huawei Noah’s Ark Lab); Mingkai Zheng (The University of Sydney); Fei Wang (University of Science and Technology of China); Chen Qian (SenseTime); Changshui Zhang (Tsinghua University); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong); Chang Xu (University of Sydney)	N/A	N/A
LaLaLoc++: Global Floor Plan Comprehension for Layout Localisation in Unvisited Environments	Henry Howard-Jenkins (University of Oxford)*; Victor Adrian Prisacariu (University of Oxford)	N/A	N/A
diffConv: Analyzing Irregular Point Clouds with an Irregular View	Manxi Lin (Technical University of Denmark)*; Aasa Feragen (Technical University of Denmark)	N/A	N/A
ReAct: Temporal Action Detection with Relational Action Queries	Dingfeng Shi (Beihang University)*; Yujie Zhong (University of Oxford); Qiong Cao (JD.com); Jing Zhang (The University of Sydney); Lin Ma (Meituan); Jia Li (Beihang University); Dacheng Tao (JD.com)	N/A	N/A
StyleBabel: Artistic Style Tagging and Captioning	Dan Ruta (University of Surrey)*; Andrew Gilbert (University of Surrey); Pranav V Aggarwal (Adobe Inc.); Naveen Marri (Adobe Inc); Ajinkya Kale (Adobe); Jo Briggs (University of Northumbria); Chris Speed (University of Edinburgh); Hailin Jin (Adobe Research); Baldo Faieta (Adobe); Alex Filipkowski (Adobe); Zhe Lin (Adobe Research); John Collomosse (Adobe Research)	N/A	N/A
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation	RUI GONG (ETH Zurich)*; Martin Danelljan (ETH Zurich); Dengxin Dai (ETH Zurich); Danda Pani Paudel (ETH Zürich); Ajad Chhatkuli (ETH Zurich); Fisher Yu (ETH Zurich); Luc Van Gool (ETH Zurich)	N/A	N/A
Domain Invariant Autoencoders for Self-supervised Learning from Multi-domains	Haiyang Yang (Nanjing University)*; Shixiang Tang (The University of Sydney); Meilin Chen (Zhejiang University); Yizhou Wang (Zhejiang University); Feng Zhu (University of Science and Technology of China); Lei Bai (Shanghai AI Laboratory); Rui Zhao (SenseTime Group Limited); Wanli Ouyang (The University of Sydney)	N/A	N/A
Learned Variational Video Color Propagation	Markus Hofinger (Graz University of Technology)*; Erich Kobler (University Hospital Bonn); Alexander Effland (University of Bonn); Thomas Pock (Graz University of Technology)	N/A	N/A
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows	aihua mao (South China University of Technolgoy)*; Zihui Du (South China University of Technology); Yu-Hui Wen (Tsinghua University); Jun Xuan (South China University of Technology); Yong-Jin Liu (Tsinghua University)	N/A	N/A
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation	ZhengKai Jiang (Tencent Youtu Lab)*; Yuxi Li (Tencent); Ceyuan Yang (Chinese University of Hong Kong); Peng Gao (Chinese university of hong kong); Yabiao Wang (Tencent); Ying Tai (Tencent YouTu); Chengjie Wang (Tencent; Shanghai Jiao Tong University)	N/A	N/A
Adversarial Contrastive Learning via Asymmetric InfoNCE	Qiying Yu (Tsinghua University)*; Jieming Lou (Harbin Institute of Technology); Xianyuan Zhan (Tsinghua University); Qizhang Li (Harbin Institute of Technology); Wangmeng Zuo (Harbin Institute of Technology, China); Yang Liu (Tsinghua University); Jingjing Liu (Tsinghua University)	N/A	N/A
NeRF for Outdoor Scene Relighting	Viktor Rudnev (Max Planck Institute for Informatics)*; Mohamed Elgharib (Max Planck Institute for Informatics); William Smith (University of York); Lingjie Liu (Max Planck Institute for Informatics ); Vladislav Golyanik (MPI for Informatics); Christian Theobalt (MPI Informatik)	N/A	N/A
FusionVAE: A Deep Hierarchical Variational Autoencoder for RGB Image Fusion	Fabian Duffhauss (Bosch Center for Artificial Intelligence)*; Vien Anh Ngo (Bosch Center for Artificial Intelligence); Hanna Ziesche (Bosch Center for AI); Gerhard Neumann (Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany)	N/A	N/A
Self-calibrating Photometric Stereo by Neural Inverse Rendering	Junxuan Li (Australian National University)*; HONGDONG LI (Australian National University, Australia)	N/A	N/A
Time-rEversed diffusioN tEnsor Transformer: A new TENET of Few-Shot Object Detection	Shan Zhang (Australian National University); Naila Murray (Naver Labs); Lei Wang (“University of Wollongong, Australia”); Piotr Koniusz (ANU College of Engineering and Computer Science)*	N/A	N/A
Detecting Generated Images by Real Images	Bo Liu (Chongqing University of Posts and Telecommunications); fan yang (Chongqing University of Posts and Telecommunications); Xiuli Bi (Chongqing University of Posts and Telecommunications); bin xiao (Chongqing University of Posts and Telecommunications)*; Weisheng Li (Chongqing University of Posts and Telecommunications); Xinbo Gao (Chongqing University of Posts and Telecommunications)	N/A	N/A
VisageSynTalk: Unseen Speaker Video-to-Speech Synthesis via Speech-Visage Feature Selection	Joanna Hong (KAIST)*; Minsu Kim (KAIST); Yong Man Ro (KAIST)	N/A	N/A
Delta Distillation for Efficient Video Processing	Amirhossein Habibian (Qualcomm AI Research)*; Haitam Ben Yahia (Qualcomm AI Research); Davide Abati (Qualcomm AI Research); Efstratios Gavves (University of Amsterdam ); Fatih Porikli (Qualcomm AI Research)	N/A	N/A
PANDORA: A Panoramic Detection Dataset for Object with Orientation	Hang Xu (Hangzhou Dianzi University;The Institute of Computing Technology of the Chinese Academy of Sciences); Qiang Zhao (The Institute of Computing Technology of the Chinese Academy of Sciences); Yike Ma (Institute of Computing Technology, Chinese Academy of Sciences); Xiaodong Li (Huawei Noah’s Ark Lab); Peng Yuan (Huawei Noah’s Ark Lab); Bailan Feng (Huawei Noah’s Ark Lab); Chenggang Yan (Hangzhou Dianzi University); Feng Dai (Institute of Computing Technology, Chinese Academy of Sciences)*	N/A	N/A
Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation	Feng Zhu (University of Technology Sydney)*; Zongxin Yang (Zhejiang University); Xin Yu (University of Technology Sydney); Yi Yang (Zhejiang University); Yunchao Wei (UTS)	N/A	N/A
Audio-Visual Mismatch-Aware Video Retrieval via Association and Adjustment	Sangmin Lee (KAIST)*; Sungjune Park (KAIST); Yong Man Ro (KAIST)	N/A	N/A
3D Clothed Human Reconstruction in the Wild	Gyeongsik Moon (Seoul National University); Hyeongjin Nam (Seoul National University); Takaaki Shiratori (Meta Reality Labs Research); Kyoung Mu Lee (Seoul National University)*	N/A	N/A
Classification-Regression for Chart Comprehension	Matan Levy (The Hebrew University of Jerusalem)*; Rami Ben-Ari (OriginAI); Dani Lischinski (The Hebrew University of Jerusalem)	N/A	N/A
Zero-Shot Category-Level Object Pose Estimation	Walter Goodwin (University of Oxford)*; Sagar Vaze (Visual Geometry Group, University of Oxford); Ioannis Havoutis (“Oxford Robotics Institute, Universtity of Oxford”); Ingmar Posner (Oxford University)	N/A	N/A
AssistQ: Affordance-centric Question-driven Task Completion for Egocentric Assistant	Benita Wong (National University of Singapore)*; Joya Chen (National University of Singapore); You Wu (Harvard University); Stan Weixian Lei (National University of Singapore); Dongxing Mao (National University of Singapore); Difei Gao (NUS); Mike Zheng Shou (National University of Singapore)	N/A	N/A
Laplace Mesh Transformer: Dual Attention and Topology Aware Network for 3D mesh Classification and Segmentation	Xiao-Juan Li (Institute of Computing Technology, Chinese Academy of Sciences); Jie Yang (Institute of Computing Technology, Chinese Academy of Sciences)*; Fang-Lue Zhang (Victoria University of Wellington)	N/A	N/A
CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition	Wenqi Zhao (Peking University)*; Liangcai Gao (Peking University)	N/A	N/A
RBC: Rectifying the Biased Context in Continual Semantic Segmentation	Hanbin Zhao (Zhejiang University)*; Fengyu Yang (University of Michigan); Xinghe Fu (Zhejiang University); Xi Li (Zhejiang University)	N/A	N/A
Don’t Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Context	Chongyu Liu (South China University of Technology); Lianwen Jin (South China University of Technology)*; Yuliang Liu (Huazhong University of Science and Technology); Canjie Luo (South China University of Technology); Bangdong Chen (South China University of Technology); Fengjun Guo (IntSig Information Co. Ltd); Kai Ding (IntSig Information Co., Ltd)	N/A	N/A
Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching	Jiazhen Liu (Renmin University of China); Xirong Li (Renmin University of China)*; Qijie Wei ( Vistel Inc.); Jie Xu (Beijing Tongren Hospital); Dayong Ding (Vistel Inc.)	N/A	N/A
Memory-Augmented Model-Driven Network for Pansharpening	Keyu Yan ( Hefei Institutes of Physical Science,Chinese Academy of Sciences)*; man zhou (Chinese Academy of Sciences); li zhang (Chinese Academy of Sciences); Chengjun Xie (Institute of Intelligent Machines, Chinese Academy of Sciences China)	N/A	N/A
Factorizing Knowledge in Neural Networks	Xingyi Yang (National University of Singapore)*; Jingwen Ye (National University of Singapore); Xinchao Wang (National University of Singapore)	N/A	N/A
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes	Sam Bond-Taylor (Durham University)*; Peter Hessey (Durham University); Hiroshi Sasaki (Durham University); Toby P Breckon (Durham University); Chris G. Willcocks (Durham University)	N/A	N/A
Contrastive Vicinal Space for Unsupervised Domain Adaptation	Jaemin Na (Ajou University)*; Dongyoon Han (NAVER AI Lab); Hyung Jin Chang (University of Birmingham); Wonjun Hwang (Ajou University)	N/A	N/A
Weight Fixing Networks	Chris Subia-Waud (University of Southampton)*; Srinandan Dasmahapatra (University of Southampton)	N/A	N/A
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking	Kai Chen (The Chinese University of Hong Kong); Rui Cao (The Chinese University of Hong Kong); Stephen L James (UC Berkeley); YICHUAN LI (CUHK); Yunhui Liu (CUHK); Pieter Abbeel (UC Berkeley); Qi Dou (The Chinese University of Hong Kong)*	N/A	N/A
ChunkyGAN: Real Image Inversion via Segments	Adéla Šubrtová (Czech Technical University); David Futschik (Czech Technical University in Prague, FEE); Jan Čech (Czech Technical University in Prague); Michal Lukáč (Adobe Research); Eli Shechtman (Adobe Research, US); Daniel Sýkora (Czech Technical University in Prague)*	N/A	N/A
Towards Sequence-Level Training for Visual Tracking	Minji Kim (Seoul National University)*; Seungkwan Lee (POSTECH); Jungseul Ok (POSTECH); Bohyung Han (Seoul National University); Minsu Cho (POSTECH)	N/A	N/A
Scale-aware Spatio-temporal Relation Learning for Video Anomaly Detection	Guoqiu Li (Tsinghua Shenzhen International Graduate School, Tsinghua University)*; Guanxiong Cai (Shenzhen SenseTime Technology Co., Ltd); Xingyu ZENG (SenseTime Group Limited); Rui Zhao (SenseTime Group Limited)	N/A	N/A
Tracking by Associating Clips	Sanghyun Woo (KAIST)*; Kwanyong Park (KAIST); Seoung Wug Oh (Adobe Research); In So Kweon (KAIST); Joon-Young Lee (Adobe Research)	N/A	N/A
An Information Theoretic Approach forAttention-Driven Face Forgery Detection	Ke Sun (Xiamen University)*; Hong Liu (National Institute of Informatics ); Taiping Yao (Tencent YouTu); Xiaoshuai Sun (Xiamen University); Shen Chen (Tencent YouTu Lab); Shouhong Ding (Tencent); Rongrong Ji (Xiamen University, China)	N/A	N/A
Compound Prototype Matching for Few-shot Action Recognition	Yifei Huang (The University of Tokyo)*; Lijin Yang (The University of Tokyo); Yoichi Sato (University of Tokyo)	N/A	N/A
Self-Promoted Supervision for Few-Shot Transformer	Bowen Dong (Harbin Institute of Technology); Pan Zhou (NUS); Shuicheng Yan (National University of Singapore, Department of Electrical and Computer Engineering); Wangmeng Zuo (Harbin Institute of Technology, China)*	N/A	N/A
Completely Self-Supervised Crowd Counting via Distribution Matching	deepak babu sam (Indian Institute of Science)*; Abhinav Agarwalla (Carnegie Mellon University); Jimmy Joseph (Stony Brook University); Vishwanath Sindagi (Johns Hopkins University); Venkatesh Babu RADHAKRISHNAN (Indian Institute of Science); Vishal Patel (Johns Hopkins University)	N/A	N/A
Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter	Tuan Duc Ngo (VinAI Research)*; Khoi Nguyen (VinAI Research)	N/A	N/A
SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer	Haoran Zhou (Nanjing University)*; Yun Cao (Tencent); Wenqing Chu (Tencent); Junwei Zhu (Tencent); Tong Lu (Nanjing University); Ying Tai (Tencent YouTu); Chengjie Wang (Tencent; Shanghai Jiao Tong University)	N/A	N/A
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling	Yu-Ting Yen (National Chiao Tung University, Phiar Technologies)*; Chia-Ni Lu (National Chiao Tung University ); Wei-Chen Chiu (National Chiao Tung University); Yi-Hsuan Tsai (Phiar Technologies)	N/A	N/A
Towards Accurate Active Camera Localization	Qihang Fang (Shandong University); Yingda Yin (Peking University); Qingnan Fan (Tencent AI Lab)*; Fei Xia (Google Inc); Siyan Dong (Shandong University); Sheng Wang (3vjia); Jue Wang (Tencent AI Lab); Leonidas Guibas (Stanford University); Baoquan Chen (Peking University)	N/A	N/A
Few-shot Object Counting and Detection	Thanh Van Nguyen (VinAI Research)*; Chau Hai Pham (VinAI Research); Khoi Nguyen (VinAI Research); Minh Hoai (Stony Brook University)	N/A	N/A
RealPatch: A Statistical Matching Framework for Model Patching with Real Samples	Sara Romiti (University of Sussex)*; Christopher Inskip (University of Sussex); Viktoriia Sharmanska (University of Sussex and Imperial College London); Novi Quadrianto (University of Sussex and Basque Center for Applied Mathematics)	N/A	N/A
GAN Cocktail: mixing GANs without dataset access	Omri Avrahami (The Hebrew University of Jerusalem)*; Dani Lischinski (The Hebrew University of Jerusalem); Ohad Fried (IDC Herzliya)	N/A	N/A
Coarse-To-Fine Incremental Few-Shot Learning	Xiang Xiang (Huazhong University of Science and Technology)*; Yuwen Tan (Huazhong University of Science and Technology); Qian Wan (Wuhan Research Institute of Posts and Telecommunications); Jing Ma (Huazhong University of Science and Technology); Alan Yuille (Johns Hopkins University); Gregory D. Hager (The Johns Hopkins University)	N/A	N/A
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling	Jian Hu (Queen Mary University of London)*; Haowen Zhong (Zhejiang Lab); Fei Yang (Zhejiang Lab); Shaogang Gong (Queen Mary University of London); Guile Wu (Queen Mary University of London); Junchi Yan (Shanghai Jiao Tong University)	N/A	N/A
Camera Pose Auto-Encoders for Improving Pose Regression	Yoli Shavit (Faculty of Engineering, Bar Ilan University); Yosi Keller (Bar Ilan University)*	N/A	N/A
CoGS: Controllable Generation and Search from Sketch and Style	Cusuh Ham (Georgia Institute of Technology)*; Gemma Canet Tarrés (CVSSP, University of Surrey); Tu Bui (University of Surrey); James Hays (Georgia Institute of Technology, USA); Zhe Lin (Adobe Research); John Collomosse (Adobe Research)	N/A	N/A
Active Audio-Visual Separation of Dynamic Sound Sources	Sagnik Majumder (University of Texas at Austin)*; Kristen Grauman (Facebook AI Research & UT Austin)	N/A	N/A
AU-aware 3D Face Reconstruction through Personalized AU-specific Blendshape Learning	Chenyi Kuang (Rensselaer Polytechnic Institute)*; Zijun Cui (Rensselaer Polytechnic Institute); Jeffrey Kephart (IBM Research, USA); Qiang Ji (Renselaer Polytechnic Institute)	N/A	N/A
Directed Ray Distance Functions for 3D Scene Reconstruction	Nilesh Kulkarni (University of Michigan)*; Justin Johnson (University of Michigan); David Fouhey (University of Michigan)	N/A	N/A
Background-Insensitive Scene Text Recognition with Text Semantic Segmentation	Liang Zhao (University of South Carolina)*; Zhenyao Wu (University of South Carolina); Xinyi Wu (University of South Carolina); Greg Wilsbacher (University of South Carolina); Song Wang (University of South Carolina)	N/A	N/A
Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering	Mingfei Chen (University of Washington)*; Jianfeng Zhang (NUS); Xiangyu Xu (Sea AI Lab); Lijuan Liu (SEA AI LAB); Yujun Cai (Nanyang Technological University); Jiashi Feng (ByteDance); Shuicheng Yan (Sea AI Labs)	N/A	N/A
MorphMLP: An Efficient MLP-Like Backbone for Spatial-Temporal Representation Learning	David Junhao Zhang (National University of Singapore)*; Kunchang Li (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Yali Wang (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Yunpeng Chen (National University of Singapore); Shashwat Chandra (National University of Singapore); Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Luoqi Liu (meitu); Mike Zheng Shou (National University of Singapore)	N/A	N/A
Continual Variational Autoencoder Learning via Online Cooperative Memorization	Fei Ye (University of york)*; Adrian Bors (University of York)	N/A	N/A
Semantic Novelty Detection via Relational Reasoning	Francesco Cappio Borlino (Politecnico di Torino); Silvia Bucci (Italian Institute of Technology)*; Tatiana Tommasi (Politecnico di Torino)	N/A	N/A
FindIt: Generalized Localization with Natural Language Queries	Weicheng Kuo (Google)*; Fred Bertsch (Google); Wei Li (GOOGLE INC); AJ Piergiovanni (Google); Mohammad Saffar (Google); Anelia Angelova (Google)	N/A	N/A
SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data	David M Hart (Brigham Young University)*; Michael Whitney (Brigham Young University); Bryan S Morse (Brigham Young University)	N/A	N/A
HairNet: Hairstyle Transfer with Pose Changes	Peihao Zhu (KAUST)*; Rameen Abdal (KAUST); JOHN C FEMIANI (Miami University); Peter Wonka (KAUST)	N/A	N/A
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition	Shreyank N Gowda (University of Edinburgh)*; Marcus Rohrbach (Facebook AI Research); Frank Keller (University of Edinburgh); Laura Sevilla-Lara (Facebook)	N/A	N/A
Action-based Contrastive Learning for Trajectory Prediction	Marah Halawa (Technische Universität Berlin)*; Olaf Hellwich (Technical University Berlin); Pia Bideau (TU Berlin)	N/A	N/A
Scaling Open-vocabulary Image Segmentation with Image-level Labels	Golnaz Ghiasi (Google Brain)*; Xiuye Gu (Google); Yin Cui (Google); Tsung-Yi Lin (Nvidia Research)	N/A	N/A
Improving Closed and Open-Vocabulary Attribute Prediction using Transformers	Khoi Pham (University of Maryland, College Park)*; Kushal Kafle (Adobe Research); Zhe Lin (Adobe Research); Zhihong Ding (Adobe Research); Scott Cohen (Adobe Research); Quan Hung Tran (Adobe Research); Abhinav Shrivastava (University of Maryland)	N/A	N/A
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context	Pinaki Nath Chowdhury (University of Surrey)*; Aneeshan Sain (University of Surrey); Ayan Kumar Bhunia (University of Surrey); Tao Xiang (University of Surrey); Yulia Gryaditskaya (University of Surrey); Yi-Zhe Song (University of Surrey)	N/A	N/A
A Contrastive Objective for Learning Disentangled Representations	Jonathan Kahana (Hebrew University of Jerusalem)*; Yedid Hoshen (The Hebrew University of Jerusalem)	N/A	N/A
Unbiased Multi-Modality Guidance for Image Inpainting	Yongsheng YU (University of Chinese Academy of Sciences); Dawei Du (Kitware, Inc.)*; Libo Zhang (Institute of Software Chinese Academy of Sciences); Tiejian Luo (University of Chinese Academy of Sciences)	N/A	N/A
Learned Monocular Depth Priors in Visual-Inertial Initialization	Yunwen Zhou (Google)*; Abhishek Kar (Google); Eric L Turner (GOOGLE LLC); Adarsh Kowdle (Google); Chao Guo (Google Inc.); Ryan DuToit (Google); Konstantine Tsotsos (Google)	N/A	N/A
DexMV: Imitation Learning for Dexterous Manipulation from Human Videos	Yuzhe Qin (University of California San Diego)*; Yueh-Hua Wu (UCSD); Shaowei Liu (UIUC); Hanwen Jiang (UT Austin); Ruihan Yang (UC San Diego); Yang Fu (UCSD); Xiaolong Wang (UCSD)	N/A	N/A
Exploring Fine-grained Audiovisual Categorization with the SSW60 Dataset	Grant Van Horn (Cornell University)*; Rui Qian (Cornell University); Kimberly Wilber (Google); Hartwig Adam (Google); Oisin Mac Aodha (University of Edinburgh); Serge Belongie (University of Copenhagen)	N/A	N/A
Radatron: Accurate Detection Using Multi-Resolution Cascaded MIMO Radar	Sohrab Madani (UIUC)*; Junfeng Guan (UIUC); Waleed Ahmed (UIUC); Saurabh Gupta (UIUC); Haitham Hassanieh (UIUC)	N/A	N/A
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality	Honglu Zhou (Rutgers University)*; Asim Kadav (NEC Labs); Aviv Shamsian (Bar Ilan University); Shijie Geng (Rutgers University); Farley Lai (NEC Laboratories America, Inc.); Long Zhao (Google Research); Ting Liu (Google Research); Mubbasir Kapadia (Rutgers University); Hans Peter Graf (NEC Labs)	N/A	N/A
The Fish Counting Dataset: A Benchmark for Multiple Object Tracking and Counting	Justin Kay (Caltech, Ai.Fish); Peter Kulits (Caltech); Suzanne C Stathatos (Caltech); Siqi Deng (Amazon); Erik Young (Trout Unlimited); Sara M Beery (Caltech); Grant Van Horn (Cornell University)*; Pietro Perona (California Institute of Technology)	N/A	N/A
Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image	Zhaoxin Fan (Renmin University of China)*; Zhenbo Song (Nanjing University of Science and Technology); Jian Xu (Nreal); Zhicheng Wang (Nreal); Kejian Wu (Nreal); Hongyan Liu (Tsinghua University); Jun He (Renmin University of China)	N/A	N/A
DeepMend: Learning Occupancy Functions to Represent Shape for Repair	Nikolas Lamb (Clarkson University)*; Sean Banerjee (Clarkson University); Natasha Kholgade Banerjee (Clarkson University)	N/A	N/A
Graph Neural Network for Cell Tracking in Microscopy Videos	Tal Ben-Haim (School of Electrical and Computer Engineering, Ben-Gurion University)*; Tammy Riklin Raviv (BGU)	N/A	N/A
Anti-Neuron Watermarking: Protecting Personal Data Against Unauthorized Neural Networks	Zihang Zou (University of Central Florida)*; Boqing Gong (Google); Liqiang Wang (University of Central Florida)	N/A	N/A
PACS: A Dataset for Physical Audiovisual Commonsense Reasoning	Samuel Yu (Carnegie Mellon University)*; Peter Wu (UC Berkeley); Paul Pu Liang (Carnegie Mellon University); Ruslan Salakhutdinov (Carnegie Mellon University); Louis-Philippe Morency (Carnegie Mellon University)	N/A	N/A
Intelli-Paint: Towards Developing More Human-Intelligible Painting Agents	Jaskirat Singh (Australian National University)*; Cameron Y Smith (Adobe Research); Jose Echevarria (Adobe System Inc.); Liang Zheng (Australian National University)	N/A	N/A
Rethinking Few-Shot Object Detection on A Multi-Domain Benchmark	Kibok Lee (Yonsei University); Hao Yang (Amazon)*; Satyaki Chakraborty (Amazon ); Zhaowei Cai (Amazon); Gurumurthy Swaminathan (Amazon); Avinash Ravichandran (Amazon); Onkar Dabeer (Amazon)	N/A	N/A
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds	Chenxi Liu (Waymo)*; Zhaoqi Leng (Waymo); Pei Sun (Waymo); Shuyang Cheng (Waymo LLC); Charles R. Qi (Waymo); Yin Zhou (Waymo); Mingxing Tan (Waymo); Dragomir Anguelov (Waymo)	N/A	N/A
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining	Chiyu Jiang (Waymo)*; Mahyar Najibi (Waymo LLC); Charles R. Qi (Waymo); Yin Zhou (Waymo); Dragomir Anguelov (Waymo)	N/A	N/A
Learning to Learn with Smooth Regularization	Yuanhao Xiong (UCLA)*; Cho-Jui Hsieh (UCLA)	N/A	N/A
A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility	Andrea Burns (Boston University)*; Deniz Arsan (University of Illinois at Urbana Champaign); Sanjna Agrawal (Boston University); Ranjitha Kumar (UIUC: CS); Kate Saenko (Boston University); Bryan Plummer (Boston University)	N/A	N/A
CoVisPose: Co-Visibility Pose Transformer for Wide-Baseline Relative Pose Estimation in 360 Indoor Panoramas	Will A Hutchcroft (Zillow Group)*; Yuguang Li (Zillow Group); Ivaylo Boyadzhiev (Zillow Group); Zhiqiang Wan (Zillow); Haiyan Wang (The City College of New York); Sing Bing Kang (Zillow Group)	N/A	N/A
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning	John Seon Keun Yi (Georgia Institute of Technology)*; Minseok Seo (si-analytics); Jongchan Park (Lunit); Dong-Geol Choi (Hanbat National University)	N/A	N/A
Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression	Dongting Hu (The University of Melbourne); Liuhua Peng (The University of Melbourne); Tingjin Chu (University of Melbourne); Xiaoxing Zhang (Meituan); Yinian Mao (Meituan-Dianping Group ); Howard Bondell (University of Melbourne); Mingming Gong (University of Melbourne)*	N/A	N/A
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines	Yuxuan Zhang (Princeton University)*; Bo Dong (Princeton University); Felix Heide (Princeton University)	N/A	N/A
ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer	Haokui Zhang (Lighthouse Co.Ltd)*; Wenze Hu (Lighthouse Co.Ltd); Xiaoyu Wang (The Chinese University of Hong Kong (Shenzhen))	N/A	N/A
B ́ezierPalm: A Free lunch for Palmprint Recognition	KAI ZHAO (UCLA)*; Lei Shen (Tencent); Yingyi Zhang (Tencent); Chuhan Zhou (Tencent & VIA University College); Tao Wang (Tencent YouTu Lab); Ruixin Zhang (Tencent); Shouhong Ding (Tencent); Wei Jia (Heifei University of Technology); Wei Shen (Shanghai Jiao Tong University)	N/A	N/A
A Repulsive Force Unit for Garment Collision Handling in Neural Networks	Qingyang Tan (UMD)*; Yi Zhou (Adobe Research); Tuanfeng Wang (adobe research); Duygu Ceylan (Adobe Research); Xin Sun (Adobe Research); Dinesh Manocha (University of Maryland at College Park)	N/A	N/A
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation	Renhao Wang (Tsinghua University)*; Hang Zhao (Tsinghua University); Yang Gao (Tsinghua University)	N/A	N/A
Connecting Compression Spaces withTransformer for Approximate Nearest Neighbor Search	Haokui Zhang (Lighthouse Co.Ltd)*; Buzhou Tang (Harbin Institute of Technology, China); Wenze Hu (Lighthouse Co.Ltd); Xiaoyu Wang (The Chinese University of Hong Kong (Shenzhen))	N/A	N/A
Training Vision Transformers with Only 2040 Images	Yunhao Cao (Nanjing University); Hao Yu (Nanjing University); Jianxin Wu (Nanjing University)*	N/A	N/A
Black-box Few-shot Knowledge Distillation	Dang Nguyen (Deakin University)*; Sunil Gupta (Deakin University, Australia); Kien Duc Do (Deakin Unviersity); Svetha Venkatesh (Deakin University)	N/A	N/A
AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling	Ziqian Bai (Simon Fraser University)*; Timur Bagautdinov (Facebook); Javier Romero (Facebook); Michael Zollhöfer (Facebook Reality Labs); Ping Tan (Simon Fraser University); Shunsuke Saito (Facebook)	N/A	N/A
Ghost-free High Dynamic Range Imaging with Context-aware Transformer	Zhen Liu (Sichuan University; Megvii ); Yinglong Wang (Huawei Noah’s Ark Lab); Bing Zeng (University of Electronic Science and Technology of China); Shuaicheng Liu (UESTC; Megvii)*	N/A	N/A
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations	Wentao Chen (University of Science and Technology of China)*; Zhang Zhang (Institute of Automation, Chinese Academy of Sciences); Wei Wang (Institute of Automation Chinese Academy of Sciences); Liang Wang (NLPR, China); Zilei Wang (University of Science and Technology of China); Tieniu Tan (NLPR, China)	N/A	N/A
Motion Transformer for Unsupervised Image Animation	Jiale Tao (University of Electronic Science and Technology of China)*; Biao Wang (Alibaba Group); Tiezheng Ge (Alibaba Group); Yuning Jiang (Alibaba Group); Wen Li (University of Electronic Science and Technology of China); Lixin Duan (University of Electronic Science and Technology of China)	N/A	N/A
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection	Yi Wei (Tsinghua University)*; Zibu Wei (Tsinghua University); Yongming Rao (Tsinghua University); Jiaxin Li (Gaussian Robotics); Jie Zhou (Tsinghua University); Jiwen Lu (Tsinghua University)	N/A	N/A
PSS: Progressive Sample Selection for Open-World Visual Representation Learning	Tianyue Cao (Shanghai Jiao Tong University); Yongxin Wang (Amazon)*; Yifan Xing (AMAZON CORPORATE LLC); Tianjun Xiao (Amazon); Tong He (Amazon); Zheng Zhang (AWS); Hao Zhou (Amazon); Joseph Tighe (Amazon)	N/A	N/A
Self-slimmed Vision Transformer	Zhuofan Zong (Beihang University)*; Kunchang Li (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Guanglu Song (Sensetime); Yali Wang (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Biao Leng (Beihang University); Yu Liu (SenseTime Group LTD)	N/A	N/A
Switchable Online Knowledge Distillation	Biao Qian (Hefei University of Technology); Yang Wang (Hefei University of Technology)*; Hongzhi Yin (The University of Queensland); Richang Hong (Hefei University of Technology); Meng Wang (Hefei University of Technology)	N/A	N/A
Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing	Hsin-Ping Huang (University of California, Merced)*; Deqing Sun (Google); Yaojie Liu (Google); Wen-Sheng Chu (Google); Taihong Xiao (University of California at Merced); Jinwei Yuan (Google); Hartwig Adam (Google); Ming-Hsuan Yang (University of California at Merced)	N/A	N/A
GraphFit: Learning Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation	Keqiang Li (Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences)*; Mingyang Zhao (University of Chinese Academy and Sciences&Beijing Academy of Artificial Intelligence); Huaiyu Wu (Institute of Automation, Chinese Academy of Sciences); Dong-Ming Yan (NLPR, CASIA); Zhen Shen (Institute of Automation, Chinese Academy of Sciences/Qingdao Academy of Intelligent Industries); Fei-Yue Wang (Institute of Automation, Chinese Academy of Sciences ); gang xiong (CASIA)	N/A	N/A
Are Vision Transformers Robust to Patch-wise Perturbations?	Jindong Gu (University of Munich)*; Volker Tresp (Siemens AG and Ludwig Maximilian University of Munich ); Yao Qin (Google)	N/A	N/A
DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning	Zifeng Wang (Northeastern University)*; Zizhao Zhang (Google); Sayna Ebrahimi (Google); Ruoxi Sun (Google); Han Zhang (Google); Chen-Yu Lee (Google); Xiaoqi Ren (Google); Guolong Su (Google); Vincent Perot (Google AI); Jennifer Dy (Northeastern); Tomas Pfister (Google)	N/A	N/A
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer	Chenyu Yang (Tsinghua University)*; Wanrong He (Tsinghua University); Yingqing Xu (Tsinghua University); Yang Gao (Tsinghua University)	N/A	N/A
Union-set Multi-source Model Adaptation for Semantic Segmentation	Zongyao Li (Hokkaido University)*; Ren Togo (Hokkaido University); Takahiro Ogawa (Hokkaido University); Miki Haseyama (Hokkaido University)	N/A	N/A
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection	Sanghyun Woo (KAIST)*; Kwanyong Park (KAIST); Seoung Wug Oh (Adobe Research); In So Kweon (KAIST); Joon-Young Lee (Adobe Research)	N/A	N/A
TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs	Shantanu Jaiswal (Agency for Science, Technology and Research ); Basura Fernando (Agency for Science, Technology and Research, ASTAR, Singapore); Cheston Tan (Institute for Infocomm Research, Singapore)	N/A	N/A
Exploring Disentangled Content Information for Face Forgery Detection	Jiahao Liang (Beijing University of Posts and Telecommunications)*; Huafeng Shi (SenseTime Group Limited); Weihong Deng (Beijing University of Posts and Telecommunications)	N/A	N/A
Object Discovery via Contrastive Learning for Weakly Supervised Object Detection	Jinhwan Seo (Pohang University of Science and Technology)*; Wonho Bae (University of British Columbia); Danica J. Sutherland (University of British Columbia); Junhyug Noh (Lawrence Livermore National Laboratory); Daijin Kim (Pohang University of Science and Technology)	N/A	N/A
Unifying Vision Unsupervised Contrastive Learning from a Graph Perspective	Shixiang Tang (The University of Sydney)*; Feng Zhu (University of Science and Technology of China); Lei Bai (Shanghai AI Laboratory); Rui Zhao (SenseTime Group Limited); Chenyu Wang (University of Sydney, Sydney Neuroimaging Analysis Centre); Wanli Ouyang (The University of Sydney)	N/A	N/A
E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context	Zizhang Li (Zhejiang University)*; Mengmeng Wang (Zhejiang University); Huaijin Pi (Zhejiang University); Kechun Xu (Zhejiang University); Jianbiao Mei (Zhejiang University); Yong Liu (Zhejiang University)	N/A	N/A
$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training	Hadi Mohaghegh Dolatabadi (University of Melbourne)*; Sarah Erfani (University of Melbourne); Christopher Leckie (University of Melbourne)	N/A	N/A
Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization	Jingtang Liang (University of Macau)*; Xiaodong Cun (Tencent AI Lab); Chi-Man Pun (University of Macau); Jue Wang (Tencent AI Lab)	N/A	N/A
Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions	Ardian Umam (NYCU)*; Cheng-Kun Yang (National Taiwan University); Yung-Yu Chuang (National Taiwan University); Jen-Hui Chuang (National Chiao Tung University ); Yen-Yu Lin (National Yang Ming Chiao Tung University)	N/A	N/A
One Size Does NOT Fit All: Data-Adaptive Adversarial Training	Shuo Yang (University of Sydney)*; Chang Xu (University of Sydney)	N/A	N/A
IS-MVSNet: Importance Sampling-based MVSNet	Likang Wang (HKUST)*; Yue Gong (Huawei Technologies Co., Ltd.); Xinjun Ma (Huawei); Qirui Wang (Huawei Technologies Co., Ltd.); Kaixuan Zhou (Huawei ); Lei Chen (Hong Kong University of Science and Technology)	N/A	N/A
Multi-Granularity Pruning for Model Acceleration on Mobile Devices	Tianli Zhao (Institute of Automation,Chinese Academy of Sciences;University of Chinese Academy of Sciences); Xi Sheryl Zhang (Institute of Automation, Chinese Academy of Sciences); Wentao Zhu (Amazon); Jiaxing Wang (Institute of Automation, Chinese Academy of Sciences); Sen Yang (Kuaishou); Ji Liu (Kwai Inc.); Jian Cheng (“Chinese Academy of Sciences, China”)*	N/A	N/A
Style-Agnostic Reinforcement Learning	Juyong Lee (POSTECH); Seokjun Ahn (POSTECH); Jaesik Park (POSTECH)*	N/A	N/A
Editing Out-of-domain GAN Inversion via Differential Activations	Haorui Song (South China University of Technology); Yong Du (Ocean University of China); Tianyi Xiang (South China University of Technology); Junyu Dong (Ocean University of China); Jing Qin (The Hong Kong Polytechnic University); Shengfeng He (South China University of Technology)*	N/A	N/A
Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization	Lei Zhu (Beijing University of Posts and Telecommunications); Qian Chen (University of Science and Technology of China); Lujia Jin (Peking University); yunfei you (Peking University); Yanye Lu (Peking University)*	N/A	N/A
Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection	TianXue Ma (East China Normal University)*; Mingwei Bi (Tencent); Jian Zhang (Tencent Youtu); Wang Yuan (East China Normal University); Zhizhong Zhang (East China Normal University); Yuan Xie (East China Normal University); Shouhong Ding (Tencent); Lizhuang Ma (Shanghai Jiao Tong University)	N/A	N/A
Panoptic-PartFormer: Learning a Unified model for Panoptic Part Segmentation	Xiangtai Li (Peking University)*; Shilin Xu (Peking University); Yibo Yang (Peking University); Guangliang Cheng (Sensetime Group Limited); Yunhai Tong (Peking University); Dacheng Tao (JD.com)	N/A	N/A
TextAdaIN: Paying Attention to Shortcut Learning in Text Recognizers	Oren Nuriel (Amazon)*; Ron Litman (Amazon); Sharon Fogel (Amazon)	N/A	N/A
Speaker-adaptive Lip Reading with User-dependent Padding	Minsu Kim (KAIST)*; Hyunjun Kim (KAIST); Yong Man Ro (KAIST)	N/A	N/A
Online Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions	Theodoros Panagiotakopoulos (KTH Royal Institute of Technology in Stockholm); Pier Luigi Dovesi (Univrses); Linus Härenstam-Nielsen (Artisense); Matteo Poggi (University of Bologna)*	N/A	N/A
Point Scene Understanding via Disentangled Instance Mesh Reconstruction	Jiaxiang Tang (Peking University)*; Xiaokang Chen (Peking University); Jingbo Wang (The Chinese University of HongKong); Gang Zeng (Peking University)	N/A	N/A
Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-shot Medical Image Segmentation	Huisi Wu (Shenzhen University)*; Fangyan Xiao (Shenzhen University); Chongxin Liang (Shenzhen University)	N/A	N/A
An Efficient Person Clustering Algorithm for Open Checkout-free Groceries	Junde Morsen Wu (Purdue University); Yu Zhang (Harbin Institute of Technology); RAO FU (None); Yuanpei Liu (Beijing Institute of Technology); Jing Gao (Purdue University)*	N/A	N/A
Face2Face^ρ: Real-Time High-Resolution One-Shot Face Reenactment	Kewei Yang (NetEase Games AI Lab)*; Kang Chen (NetEase Games AI Lab); Daoliang Guo (NetEase Games AI Lab); Song-Hai Zhang (Tsinghua University); Yuan-Chen Guo (Tsinghua University); Weidong Zhang (Netease Games AI Lab)	N/A	N/A
Decoupled Contrastive Learning	Chun-Hsiao Yeh (Academia Sinica / UC Berkeley)*; Cheng-Yao Hong (Academia Sinica); Yen-Chi Hsu (Academia Sinica); Tyng-Luh Liu (Academia Sinica); Yubei Chen (Berkeley AI Research, UC Berkeley); yann lecun (Facebook)	N/A	N/A
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning	Chi Zhang (University of California, Los Angeles)*; Sirui Xie (UCLA); Baoxiong Jia (UCLA); Ying Nian Wu (University of California, Los Angeles); Song-Chun Zhu (UCLA); Yixin Zhu (Peking University)	N/A	N/A
On the Robustness of Quality Measures for GANs	Motasem Alfarra (KAUST)*; Juan C Perez (KAUST); Anna Fruehstueck (KAUST); Philip Torr (University of Oxford); Peter Wonka (KAUST); Bernard Ghanem (KAUST)	N/A	N/A
Automatic Check-Out via Prototype-based Classifier Learning from Single-Product Exemplars	Hao Chen (Nanjing University of Science and Technology)*; Xiu-Shen Wei (Nanjing University of Science and Technology); Faen Zhang (AInnovation Co. Ltd.); Yang Shen (Nanjing University of Science and Technology); Hui Xu (QINGDAO AINNOVATION TECHNOLOGY GROUP CO., LTD); liang xiao (nanjing university of science and technology)	N/A	N/A
TDViT: Temporal Dilated Transformer for Dense Video Tasks	Guanxiong Sun (Queen’s University Belfast); Yang Hua (Queen’s University Belfast)*; Guosheng Hu (Oosto); Neil Robertson (Queen’s University Belfast)	N/A	N/A
POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion	Christian Joppi (Humatics srl)*; Geri Skenderi (University of Verona); Marco Cristani (University of Verona)	N/A	N/A
BRACE: The Breakdancing Competition Dataset for Dance Motion Synthesis	Davide Moltisanti (University of Edinburgh)*; Jinyi Wu (S-Lab Nanyang Technological University); Bo Dai (Shanghai AI Lab); Chen Change Loy (Nanyang Technological University)	N/A	N/A
Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation	Haiwen Feng (Max Planck Institute for Intelligent Systems); Timo Bolkart (Max Planck Institute for Intelligent Systems); Joachim Tesch (Max Planck Institute for Intelligent Systems); Michael J. Black (Max Planck Institute for Intelligent Systems); Victoria Fernandez Abrevaya (Max Planck Institute)*	N/A	N/A
Style-Guided Shadow Removal	Jin Wan (Beijing Jiaotong University); Hui Yin (Beijing Jiaotong University)*; Zhenyao Wu (University of South Carolina); Xinyi Wu (University of South Carolina); Yanting Liu (Yanting Liu); Song Wang (University of South Carolina)	N/A	N/A
Sound-guided Semantic Video Generation	Seung Hyun Lee (Korea University)*; Gyeongrok Oh (Korea University); Wonmin Byeon (NVIDIA Research); Jihyun Bae (Korea University); Chanyoung Kim (Korea University); Won Jeong Ryoo (Korea University); Sang Ho Yoon (KAIST); Hyunjun Cho (Korea University); Jinkyu Kim (Korea University); Sangpil Kim (Korea University)	N/A	N/A
Robust Visual Tracking by Segmentation	Matthieu Paul (ETH Zurich)*; Martin Danelljan (ETH Zurich); Christoph Mayer (ETH Zurich); Luc Van Gool (ETH Zurich)	N/A	N/A
Semi-Supervised Learning of Optical Flow by Flow Supervisor	Woobin Im (KAIST); Sebin Lee (KAIST); Sungeui Yoon (KAIST)*	N/A	N/A
Joint Learning of Localized Representations from Medical Images and Reports	Philip Müller (Technical University of Munich)*; Georgios Kaissis (Technische Universität München); congyu zou (Klinikum Rechts der Isar Technische Universität München ); Daniel Rueckert (Technische Universität München)	N/A	N/A
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution	Youwei Li (Megvii); Haibin Huang (Kuaishou Technology); lanpeng jia (GWM); Haoqiang Fan (Megvii Inc（face++）); Shuaicheng Liu (UESTC; Megvii)*	N/A	N/A
Continual 3D Convolutional Neural Networks for Real-time Processing of Videos	Lukas Hedegaard (Aarhus University)*; Alexandros Iosifidis (Aarhus University)	N/A	N/A
Salient Object Detection for Point Clouds	Songlin Fan (Peking University ); Wei Gao (SECE, Shenzhen Graduate School, Peking University)*; Ge Li (Peking University)	N/A	N/A
Deep ensemble learning by diverse knowledge distillation for fine-grained object classification	Naoki Okamoto (Chubu university)*; Tsubasa Hirakawa (Chubu University); Takayoshi Yamashita (Chubu University); Hironobu Fujiyoshi (Chubu University)	N/A	N/A
Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition	Yuecong Xu (Institute for Infocomm Research, ASTAR, Singapore); Jianfei Yang (Nanyang Technological University); Haozhi Cao (Nanyang Technological University); Keyu Wu (Institute for Infocomm Research, ASTAR, Singapore); Min Wu (Institute for Infocomm Research, ASTAR, Singapore); Zhenghua Chen (Institute for Infocomm Research, A*STAR, Singapore)	N/A	N/A
GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training	Jaeseok Byun (Seoul National university); Taebaek Hwang (M.IN.D Lab); Jianlong Fu (Microsoft Research); Taesup Moon (Seoul National University)*	N/A	N/A
Pose Forecasting in Industrial Human-Robot Collaboration	Alessio Sampieri (Sapienza University)*; Guido Maria D’Amely di Melendugno (Sapienza University); ANDREA AVOGARO (University of Verona); Federico Cunico (University of Verona); Francesco Setti (University of Verona); Geri Skenderi (University of Verona); Marco Cristani (University of Verona); Fabio Galasso (Sapienza University)	N/A	N/A
MeshLoc: Mesh-Based Visual Localization	Vojtech Panek (CTU in Prague, FEE, CIIRC)*; Zuzana Kukelova (Czech Technical University in Prague); Torsten Sattler (Czech Technical University in Prague)	N/A	N/A
Dress Code: High-Resolution Multi-Category Virtual Try-On	Davide Morelli (UNIMORE); Matteo Fincato (Università degli Studi di Modena e Reggio Emilia); Marcella Cornia (University of Modena and Reggio Emilia)*; Federico Landi (University of Modena and Reggio Emilia); Fabio Cesari (YOOX Net-A-Porter Group S.p.A.); Rita Cucchiara (Università di Modena e Reggio Emilia)	N/A	N/A
UC-OWOD: Unknown-Classified Open World Object Detection	Zhiheng Wu (Institute of Automation, Chinese Academy of Sciences (CASIA))*; Yue Lu (Institute of Automation, Chinese Academy of Sciences(CASIA)); Xingyu Chen (Xiaobing.AI); Zhengxing Wu (CASIA); Liwen Kang (Institute of Automation, Chinese Academy of Sciences (CASIA)); Junzhi Yu (CASIA)	N/A	N/A
Helpful or Harmful: Inter-Task Association in Continual Learning	Hyundong Jin (Chung-Ang University ); Eunwoo Kim (Chung-Ang University)*	N/A	N/A
RayTran: 3D pose estimation and shape reconstruction of multiple objects from videos with ray-traced transformers	Michał J Tyszkiewicz (EPFL); Kevis-Kokitsi Maninis (Google Research)*; Stefan Popov (Google Research); Vittorio Ferrari (Google Research)	N/A	N/A
Efficient Point Cloud Segmentation with Geometry-aware Sparse Networks	Maosheng Ye (HKUST)*; Rui Wan (Deeproute.ai); Shuangjie Xu (HKUST); Tongyi Cao (Deeproute.ai); Qifeng Chen (HKUST)	N/A	N/A
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition	Tianjiao Li (Singapore University of Technology and Design)*; Lin Geng Foo (Singapore University of Technology and Design); Qiuhong Ke (Monash University); Hossein Rahmani (Lancaster University); Anran Wang (Bytedance); Jinghua Wang (Harbin Institute of Technology); Jun Liu (Singapore University of Technology and Design)	N/A	N/A
TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation	Tan Minh Dinh (VinAI Research)*; Rang NGUYEN (VinAI Research); Binh-Son Hua (VinAI Research)	N/A	N/A
CostDCNet: Cost Volume based Depth Completion for a Single RGB-D Image	Jaewon Kam (POSTECH); Jungeon Kim (POSTECH); Soongjin Kim (POSTECH); Jaesik Park (POSTECH); Seungyong Lee (POSTECH)*	N/A	N/A
Efficient Video Deblurring Guided by Motion Magnitude	Yusheng Wang (The University of Tokyo)*; Yunfan Lu (Hong Kong University of Science and Technology); Ye Gao (Honor Technologies Japan); Lin Wang (HKUST); Zhihang Zhong (The University of Tokyo); Yinqiang Zheng (The University of Tokyo); Atsushi Yamashita (The University of Tokyo)	N/A	N/A
Space-Partitioning RANSAC	Daniel Barath (ETH Zürich)*; Gábor Valasek (ELTE)	N/A	N/A
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies	Xingrun Xing (Beihang University); Yangguang Li (SenseTime Group Limited); Wei Li (Nanyang Technological University); Wenrui Ding (Beihang University); Yalong Jiang (Beihang University)*; Yufeng Wang (Beihang University); Jing Shao (Sensetime); Chunlei Liu (Beihang University); Xianglong Liu (BUAA)	N/A	N/A
Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain	Piyapat Saranrittichai (Bosch Center for Artificial Intelligence)*; Chaithanya Kumar Mummadi (Bosch Center for Artificial Intelligence); Claudia Blaiotta (Bosch Center for Artificial Intelligence); Mauricio Munoz (Bosch Center for Artificial Intelligence); Volker Fischer (Bosch Center for Artificial Intelligence)	N/A	N/A
SimpleRecon: 3D Reconstruction Without 3D Convolutions	Mohamed Sayed (University College London)*; John Gibson (Niantic, Inc.); Jamie Watson (Niantic); Victor A Prisacariu (Niantic Labs); Michael Firman (Niantic); Clement LJC Godard (Niantic)	N/A	N/A
SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding	Morgan L Heisler (Huawei Technologies Canada Co., Ltd.)*; Amin Banitalebi-Dehkordi (Huawei Technologies Canada Co., Ltd.); Yong Zhang (Huawei Technologies Canada Co., Ltd.)	N/A	N/A
A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering	Lars Schmarje (Kiel University)*; Monty Santarossa (Kiel University); Simon-Martin Schröder (Kiel University); Claudius Zelenka (Kiel University); Rainer Kiko (Laboratoire d’Océanographie de Villefranche-sur-Mer); Jenny Stracke (University of Bonn); Nina Volkmann (University of Veterinary Medicine Hannover); Reinhard Koch (Kiel University)	N/A	N/A
SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks	Anish J Prabhu (Apple)*; Chien-Yu lin (University of Washington); Thomas Merth (Apple); Sachin Mehta (University of Washington); Anurag Ranjan (Apple); Maxwell C Horton (Apple, Xnor.Ai and University of Washington); Mohammad Rastegari (University of Washington)	N/A	N/A
SAGA: Stochastic Whole-Body Grasping With Contact	Yan Wu (ETH Zurich); Jiahao Wang (Max Planck Institute for Informatics); Yan Zhang (ETH Zurich); Siwei Zhang (ETH Zurich); Otmar Hilliges (ETH Zurich); Fisher Yu (ETH Zurich); Siyu Tang (ETH Zurich)*	N/A	N/A
GTCaR: Graph Transformer for Camera Re-localization	Xinyi Li (Magic Leap)*; Haibin Ling (Stony Brook University)	N/A	N/A
Actor-centered Representations for Action Localization in Streaming Videos	Sathyanarayanan N Aakur (OK State)*; Sudeep Sarkar (University of South Florida, Tampa)	N/A	N/A
Photo-realistic Neural Domain Randomization	Sergey Zakharov (Toyota Research Institute)*; Rareș A Ambruș (Toyota Research Institute); Vitor Guizilini (Toyota Research Institute); Wadim Kehl (Woven Planet); Adrien Gaidon (Toyota Research Institute)	N/A	N/A
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization	Muhammad Zubair Irshad (Georgia Institute of Technology)*; Sergey Zakharov (Toyota Research Institute); Rareș A Ambruș (Toyota Research Institute); Thomas Kollar (Toyota Research Institute); Zsolt Kira (Georgia Institute of Technology); Adrien Gaidon (Toyota Research Institute)	N/A	N/A
Structure and Motion for Casual Videos	Zhoutong Zhang (MIT)*; Forrester Cole (Google Research); Zhengqi Li (Google Inc.); Noah Snavely (Google); Michael Rubinstein (Google); William T Freeman (Google)	N/A	N/A
Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model	Zhiyuan Mao (Purdue University)*; AJAY KUMAR JAISWAL (UT Austin); Zhangyang Wang (University of Texas at Austin); Stanley Chan (Purdue University, USA)	N/A	N/A
Incremental Task Learning with Incremental Rank Updates	Rakib Hyder (University of California, Riverside)*; Ken Shao (UCR); Boyu Hou (The University of California, Riverside ); Panagiotis Markopoulos (RIT); Ashley Prater-Bennette (Air Force Research Laboratory); M. Salman Asif (University of California, Riverside)	N/A	N/A
Bandwidth-Aware Adaptive Codec for DNN Inference Offloading in IoT	Xiufeng Xie (Kwai Inc.)*; Ning Zhou (Amazon); Wentao Zhu (Amazon); Ji Liu (Kwai Inc.)	N/A	N/A
Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation	Connelly Barnes (Adobe)*; Lingzhi Zhang (University of Pennsylvania); Jianbo Shi (University of Pennsylvania); Zhe Lin (Adobe Research); Eli Shechtman (Adobe Research, US); Sohrab Amirghodsi (Adobe Research); Kevin Wampler (Adobe Systems Inc.)	N/A	N/A
Controllable Video Generation through Global and Local Motion Dynamics	Aram Davtyan (University of Bern)*; Paolo Favaro (University of Bern)	N/A	N/A
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing	Hanbin Hong (University of Connecticut)*; Binghui Wang (Illinois Institute of Technology); Yuan Hong (University of Connecticut)	N/A	N/A
3D Siamese Transformer Network for Single Object Tracking on Point Clouds	Le Hui (Nanjing University of Science and Technology)*; Lingpeng Wang (Nanjing University of Science and Technology); Linghua Tang (Nanjing University of Science and Technology); Kaihao Lan (Nanjing University of Science and Technology); Jin Xie (Nanjing University of Science and Technology); Jian Yang (Nanjing University of Science and Technology)	N/A	N/A
Hardly Perceptible Trojan Attack against Neural Networks with Bit Flips	Jiawang Bai (Tsinghua University)*; Kuofeng Gao (Tsinghua University); dihong gong (Tencent AI Lab); Shu-Tao Xia (Tsinghua University); Zhifeng Li (Tencent AI Lab); Wei Liu (Tencent)	N/A	N/A
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN	Fei Yin (Tsinghua University)*; Yong Zhang (Tencent AI Lab); Xiaodong Cun (Tencent AI Lab); Mingdeng Cao (Tsinghua University); Yanbo Fan (Tencent AI Lab); Xuan Wang (Tencent AI Lab); Qingyan Bai (Tsinghua University); Baoyuan Wu (The Chinese University of Hong Kong, Shenzhen); Jue Wang (Tencent AI Lab); Yujiu Yang (Tsinghua University)	N/A	N/A
Referring Object Manipulation of Natural Images with Conditional Classifier-Free Guidance	Myungsub Choi (Google)*	N/A	N/A
Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach	Houjian Yu (University of Minnesota, Twin Cities)*; Changhyun Choi (University of Minnesota, Twin Cities)	N/A	N/A
BigColor: Colorization using a Generative Color Prior for Natural Images	geonung kim (POSTECH); Kyoungkook Kang (POSTECH); Seongtae Kim (POSTECH); Hwayoon Lee (POSTECH); Sehoon Kim (Samsung electronics co. ltd.); Jonghyun Kim (Samsung Electronics); Seung-Hwan Baek (POSTECH); Sunghyun Cho (POSTECH)*	N/A	N/A
Object Wake-up: 3D Object Rigging from a Single Image	Ji Yang (University of Alberta)*; Xinxin Zuo (University of Alberta); Sen Wang (University of Alberta); Zhenbo Yu (Shanghai Jiao Tong University); Xingyu Li (University of Alberta); Bingbing Ni (Shanghai Jiao Tong University); Minglun Gong (University of Guelph); Li Cheng (ECE dept., University of Alberta)	N/A	N/A
ClearPose: Large-scale Transparent Object Dataset and Benchmark	Xiaotong Chen (University of Michigan, Ann Arbor)*; Huijie Zhang (University of Michigan, Ann Arbor); Zeren Yu (University of Michigan–Ann Arbor); Anthony Opipari (University of Michigan); Odest Chadwicke Jenkins (University of Michigan)	N/A	N/A
Domain Knowledge-Informed Self-Supervised Representations for Workout Form Assessment	Paritosh Parmar (University of British Columbia)*; Amol Gharat (Flex A.I.); Helge Rhodin (UBC)	N/A	N/A
Neural Capture of Animatable 3D Human from Monocular Video	Gusi Te (Peking University); Xiu Li (Tencent); Xiao Li (Microsoft Research Asia)*; Jinglu Wang (Microsoft Research Asia); Wei Hu (Peking University); Yan Lu (Microsoft Research Asia)	N/A	N/A
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels	Mingfei Gao (Apple)*; Chen Xing (Salesforce Research); Juan Carlos Niebles (Salesforce & Stanford University); Junnan Li (Salesforce); Ran Xu (Salesforce Research); Wenhao Liu (Salesforce Metamind); Caiming Xiong (Salesforce Research)	N/A	N/A
BoundaryFace: A mining framework with noise label self-correction for Face Recognition	Shijie Wu (Southwest Jiaotong University)*; Xun Gong (Southwest Jiaotong University)	N/A	N/A
IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction	Kennard Chan Yanting (Nanyang Technological University)*; Guosheng Lin (Nanyang Technological University); Haiyu Zhao (SenseTime International Pte Ltd); Weisi Lin (Nanyang Technological University, Singapore)	N/A	N/A
BMD: A General Class-balanced Multicentric Dynamic Prototype Strategy for Source-free Domain Adaptation	Sanqing Qu (Tongji University); Guang Chen (Tongji University)*; Jing Zhang (The University of Sydney); Zhijun Li (University of Science and Technology of China); Wei He (University of Science and Technology Beijing); Dacheng Tao (JD.com)	N/A	N/A
What Matters for 3D Scene Flow Network	Guangming Wang (Shanghai Jiao Tong University); Yunzhe Hu (Shanghai Jiao Tong University); Zhe Liu (University of Cambridge); Yiyang Zhou (UC Berkeley ); Masayoshi TOMIZUKA (MSC Lab); Wei Zhan (University of California, Berkeley); Hesheng Wang (SJTU)*	N/A	N/A
Controllable Shadow Generation Using Pixel Heigh Maps	Yichen Sheng (Purdue University)*; Yifan Liu (University of Adelaide); Jianming Zhang (Adobe Research); Wei Yin (University of Adelaide); A. Cengiz Oztireli (University of Cambridge, Google); He Zhang (Adobe); Zhe Lin (Adobe Research); Eli Shechtman (Adobe Research, US); Bedrich Benes (Purdue University)	N/A	N/A
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution	Cheeun Hong (Seoul National University); Sungyong Baik (Hanyang University); Heewon Kim (Seoul National University); Seungjun Nah (NVIDIA); Kyoung Mu Lee (Seoul National University)*	N/A	N/A
SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection	Minhyeok Lee ( Yonsei University)*; Chaewon Park (Yonsei University); Suhwan Cho (Yonsei University); Sangyoun Lee (Yonsei University)	N/A	N/A
Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer	Songwei Ge (University of Maryland)*; Thomas F Hayes (Meta); Harry Yang (Facebook); Xi Yin (Facebook); Guan Pang (Facebook); David Jacobs (University of Maryland, USA); Jia-Bin Huang (Facebook ); Devi Parikh (Georgia Tech & Facebook AI Research)	N/A	N/A
Combining Internal and External Constraints for Unrolling Shutter in Videos	Eyal Naor (Weizmann Institute)*; Itai Antebi (Weizmann); Shai Bagon (Weizmann Institute of Science); Michal Irani (Weizmann Institute, Israel)	N/A	N/A
Global Spectral Filter Memory Network for Video Object Segmentation	Yong Liu (Tsinghua University)*; Ran Yu (Tsinghua university); Jiahao Wang (Tsinghua University); Xinyuan Zhao (Huawei); Yitong Wang (Bytedance); Yansong Tang (Tsinghua University); Yujiu Yang (Tsinghua University)	N/A	N/A
SEMICON: A Learning-to-hash Solution for Large-scale Fine-grained Image Retrieval	Yang Shen (Nanjing University of Science and Technology); Xu Hao XH SUN (Nanjing University Of Science And Technology); Xiu-Shen Wei (Nanjing University of Science and Technology)*; Qing-Yuan Jiang (HuaWei); Jian Yang (Nanjing University of Science and Technology)	N/A	N/A
Batch-efficient EigenDecomposition for Small and Medium Matrices	Yue Song (University of Trento)*; Nicu Sebe (University of Trento); Wei Wang (EPFL)	N/A	N/A
General Object Pose Transformation Network from Unpaired Data	Yukun Su (South China University of Technology)*; Guosheng Lin (Nanyang Technological University); RuiZhou Sun (South China University of Technology); Qingyao Wu (South China University of Technology)	N/A	N/A
Robust Network Architecture Search via Feature Distortion Restraining	Yaguan QIAN (Zhejiang University of Science and Technology)*; Shenghui Huang (Zhejiang University of Science and Technology); Bin WANG (Network and Information Security Laboratory of Hangzhou Hikvision Digital Technology Co.); Xiang Ling (Institute of Software, Chinese Academy of Sciences); Xiaohui Guan (Zhejiang University of Water Resources and Electric Power); Zhaoquan Gu (Guangzhou University); Shaoning Zeng (Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China); Wujie Zhou (Zhejiang University of Science and Technology); Haijiang Wang (Zhejiang University of Science and Technology)	N/A	N/A
Correspondence Reweighted Translation Averaging	Lalit Manam (Indian Institute of Science Bengaluru)*; Venu Madhav Govindu (Indian Institute of Science)	N/A	N/A
RepMix: Representation Mixing for Robust Attribution of Synthesized Images	Tu Bui (University of Surrey)*; Ning Yu (Salesforce Research); John Collomosse (Adobe Research)	N/A	N/A
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics	Iuliia Pliushch (Goethe University)*; Martin Mundt (TU Darmstadt); Nicolas Lupp (Goethe University Frankfurt); Visvanathan Ramesh (Goethe University)	N/A	N/A
S2F2: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction	YU-WEN CHEN (National Tsing Hua University); Hsuan-Kung Yang (National Tsing Hua University); Chu-Chi Chiu (National Tsin-Hua University); Chun-Yi Lee (National Tsing Hua University)*	N/A	N/A
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations	Wenjie Pei (Harbin Institute of Technology, Shenzhen); Shuang Wu (Harbin Institute of Technology, Shenzhen); Dianwen Mei (Harbin Institute of Technology, Shenzhen); Fanglin Chen (Harbin Institute of Technology, Shenzhen); Jiandong Tian (CAS); Guangming Lu ( Harbin Institute of Technology, Shenzhen)*	N/A	N/A
Stochastic Consensus: Enhancing Semi-Supervised Learning with Consistency of Stochastic Classifiers	Hui Tang (South China University of Technology)*; Kui Jia (South China University of Technology); Lin Sun (Magic Leap)	N/A	N/A
Learning Where To Look – Generative NAS is Surprisingly Efficient	Jovita Lukasik (University of Mannheim)*; Steffen Jung (MPII); Margret Keuper (University of Mannheim)	N/A	N/A
Realistic One-shot Mesh-based Head Avatars	Taras Khakhulin (Skolkovo Institute of Science and Technology)*; Vanessa Valerievna Skliarova (Skoltech); Victor Lempitsky (Yandex); Egor Zakharov (Skolkovo Institute of Science and Technology)	N/A	N/A
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning	Seunghyun Lee (Inha University); Byung Cheol Song (Inha University)*	N/A	N/A
SALISA: Saliency-based Input Sampling for Efficient Video Object Detection	Babak Ehteshami Bejnordi (Qualcomm AI Reseach)*; Amir Ghodrati (Qualcomm AI Research); Fatih Porikli (Qualcomm AI Research); Amirhossein Habibian (Qualcomm AI Research)	N/A	N/A
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer	Omkar Thawakar (MBZUAI)*; Sanath Narayan (Inception Institute of Artificial Intelligence); Jiale Cao (Tianjin University); Hisham Cholakkal (MBZUAI); Rao Muhammad Anwer (MBZUAI/AALTO); Muhammad Haris Khan (Muhammad Bin Zayed University of Artificial Intelligence); Salman Khan (MBZUAI/ANU); Michael Felsberg (Linköping University); Fahad Shahbaz Khan (MBZUAI)	N/A	N/A
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation	Haodi He (University of Science and Technology of China); Yuhui Yuan (Microsoft Research)*; Xiangyu Yue (University of California, Berkeley); Han Hu (Microsoft Research Asia)	N/A	N/A
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression	Ahmet Burakhan Koyuncu (Technical University of Munich)*; Han Gao (Tencent America); Atanas Boev (Huawei Technologies Duesseldorf GmbH); Georgii Gaikov (Huawei Moscow Research Center); Elena Alshina (Huawei Technologies); Eckehard Steinbach (TUM)	N/A	N/A
Image Super-Resolution with Deep Dictionary	Shunta Maeda (Navier Inc.)*	N/A	N/A
ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement	Dongli Tan (Xiamen University)*; Jiang-Jiang Liu (Nankai University); Xingyu Chen (Youtu Lab); Chao Chen (Youtu Laboratory); Ruixin Zhang (Tencent); Yunhang Shen (Xiamen University); Shouhong Ding (Tencent); Rongrong Ji (Xiamen University, China)	N/A	N/A
Responsive Listening Head Generation: A Benchmark Dataset and Baseline	Mohan Zhou (Harbin Institute of Technology)*; Yalong Bai (JD AI Research); Wei Zhang (JD AI Research); Ting Yao (JD AI Research); Tiejun Zhao (Harbin Institute of Technology); Tao Mei (AI Research of JD.com)	N/A	N/A
WISE: Whitebox Image Stylization by Example-based Learning	Winfried Lötzsch (Merantix Momentum); Max Reimann (Hasso-Plattner-Institute)*; Martin Büßemeyer (Hasso-Plattner-Institut); Amir Semmo (Digital Masterpieces GmbH); Jürgen Döllner (Hasso-Plattner-Institut); Matthias Trapp (Hasso Plattner Institute, University of Potsdam)	N/A	N/A
3D Equivariant Graph Implicit Functions	Yunlu Chen (University of Amsterdam); Basura Fernando (Agency for Science, Technology and Research, ASTAR, Singapore); Hakan Bilen (University of Edinburgh); Matthias Niessner (Technical University of Munich); Efstratios Gavves (University of Amsterdam )	N/A	N/A
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment	Kangyeol Kim (KAIST)*; Sunghyun Park (KAIST); Jaeseong Lee (KAIST); Sunghyo Chung (Korea University); Junsoo Lee (NAVER WEBTOON Ltd.); Jaegul Choo (Korea Advanced Institute of Science and Technology)	N/A	N/A
Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics	Sen Zhang (The University of Sydney); Jing Zhang (The University of Sydney)*; Dacheng Tao (The University of Sydney)	N/A	N/A
Dynamic Local Aggregation Network with Adaptive Clusterer for Anomaly Detection	Zhiwei Yang (Xidian University)*; Peng Wu (Xidian University); Jing Liu (Xidian University); Xiaotao Liu (Xidian University)	N/A	N/A
Learning Semantic Segmentation from Multiple Datasets with Label Shifts	Dongwan Kim (Seoul National University)*; Yi-Hsuan Tsai (Phiar Technologies); Yumin Suh (NEC Labs America); Masoud Faraki (NEC Labs); Sparsh Garg (NEC Labs America); Manmohan Chandraker (UC San Diego); Bohyung Han (Seoul National University)	N/A	N/A
SecretGen: Privacy Recovery on Pre-trained Models via Distribution Discrimination	Zhuowen Yuan (UIUC); Fan Wu (UIUC); Yunhui Long (University of Illinois); Chaowei Xiao (NVIDIA); Bo Li (UIUC)*	N/A	N/A
A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks	Martha Paskin (Zuse Institute Berlin); Daniel Baum (Zuse Institute Berlin); Mason N Dean (City University of Hong Kong); Christoph von Tycowicz (Zuse Institute Berlin)*	N/A	N/A
Temporally Consistent Transformer for Video Denoising	Mingyang Song (ETH Zurich)*; Yang Zhang (Disney Research Studios); Tunç Aydin (Disney Research)	N/A	N/A
Action Quality Assessment with Temporal Parsing Transformer	Yang Bai (Durham University); Desen Zhou (Baidu, Inc.)*; Songyang Zhang (Shanghai AI Laboratory); Jian Wang (Baidu); Errui Ding (Baidu Inc.); Yu Guan (University of Warwick); Yang Long (Durham University); Jingdong Wang (Baidu)	N/A	N/A
A study of Pre-training strategies and datasets for facial representation learning	Adrian Bulat (Samsung AI Center, Cambridge)*; Shiyang Cheng (Samsung); Jing Yang (University of Nottingham); Andrew Garbett (Samsung AI Center); Enrique Sanchez (Samsung AI Centre); Georgios Tzimiropoulos (Queen Mary University of London)	N/A	N/A
Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images	Radu Alexandru Rosu (University of Bonn); Shunsuke Saito (Facebook); Ziyan Wang (Carnegie Mellon University); Chenglei Wu (Facebook Reality Labs); Sven Behnke (University of Bonn); Giljoo Nam (Facebook Inc.)*	N/A	N/A
Conditional Stroke Recovery for Fine-Grained Sketch-Based Image Retrieval	Zhixin Ling (Fudan University)*; Zhen Xing (Fudan University); Jian Zhou (Fudan University); Xiangdong Zhou (Fudan University)	N/A	N/A
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks	Yawen Huang (Tencent)*; Feng Zheng (SUSTech); Xu Sun (Tencent); Yuexiang Li (Jarvis Lab, Tencent); Ling Shao (Terminus Group); Yefeng Zheng (Tencent)	N/A	N/A
Wave-ViT: Unifying Wavelet and Transformers for Visual Representation Learning	Ting Yao (JD AI Research); Yingwei Pan (JD AI Research)*; Yehao Li (JD AI Research); Chong-Wah Ngo (Singapore Management University); Tao Mei (AI Research of JD.com)	N/A	N/A
GraphCSPN: Geometry-Aware Depth Completion via Dynamic GCNs	Xin Liu (Tsinghua University)*; Xiaofei Shao (Deptrum); Bo Wang (Deptrum); Ya-Li Li (Tsinghua University); Shengjin Wang (Tsinghua University)	N/A	N/A
Revisiting Batch Norm Initialization	Jim Davis (Ohio State University); Logan Frank (Ohio State University)*	N/A	N/A
NewsStories: Illustrating articles with visual summaries	Reuben Tan (Boston University)*; Bryan Plummer (Boston University); Kate Saenko (Boston University); J.P. Lewis (Google Research); Avneesh Sud (Google); Thomas Leung (Google)	N/A	N/A
Improving Few-Shot Learning through Multi-task Representation Learning Theory	Quentin Bouniot (CEA, LIST)*; Ievgen Redko (Laboratoire Hubert Curien); Romaric Audigier (CEA LIST); Angélique Loesch (CEA LIST); Amaury Habrard (University of St-Etienne, Lab. H. Curien)	N/A	N/A
Deep Semantic Statistics Matching (D2SM) Denoising Network	Kangfu Mei (Johns Hopkins University)*; Vishal Patel (Johns Hopkins University); Rui Huang (The Chinese University of Hong Kong, Shenzhen)	N/A	N/A
Long-tailed Instance Segmentation using Gumbel Optimized Loss	Konstantinos P Alexandridis (University of Liverpool)*; Jiankang Deng (Imperial College London); Anh Nguyen (University of Liverpool); Shan Luo (University of Liverpool)	N/A	N/A
DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection	Jinhyung Park (Carnegie Mellon University)*; Chenfeng Xu (UC Berkeley); Yiyang Zhou (UC Berkeley ); Masayoshi TOMIZUKA (MSC Lab); Wei Zhan (University of California, Berkeley)	N/A	N/A
3D Scene Inference from Transient Histograms	Sacha Jungerman (University of Wisconsin-Madison)*; Atul N Ingle (University of Wisconsin-Madison); Yin Li (University of Wisconsin-Madison); Mohit Gupta (“University of Wisconsin-Madison, USA “)	N/A	N/A
SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling	Ho Man Kwan (The Hong Kong University of Science and Technology)*; S.H. Song (HKUST)	N/A	N/A
Deep 360° Optical Flow Estimation by Multi-Projection Fusion	Yiheng Li (Victoria University of Wellington); Connelly Barnes (Adobe); Kun Huang (Victoria University of Wellington); Fang-Lue Zhang (Victoria University of Wellington)*	N/A	N/A
Neural Space-filling Curves	Hanyu Wang (University of Maryland – College Park)*; Kamal Gupta (University of Maryland); Larry Davis (University of Maryland); Abhinav Shrivastava (University of Maryland)	N/A	N/A
MFIM: Megapixel Facial Identity Manipulation	Sanghyeon Na (kakaobrain)*	N/A	N/A
Objects Can Move: 3D Change Detection by GeometricTransformation Consistency	Aikaterini Adam (National Techniclal University of Athens)*; Torsten Sattler (Czech Technical University in Prague); Konstantinos Karantzalos (National Technical University of Athens); Tomas Pajdla (Czech Technical University in Prague)	N/A	N/A
MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration	Thomas F Hayes (Meta); Songyang Zhang (University of Rochester)*; Xi Yin (Facebook); Guan Pang (Facebook); Sasha Sheng (Meta Platforms); Harry Yang (Facebook); Songwei Ge (University of Maryland, College Park); Qiyuan Hu (Facebook AI Research); Devi Parikh (Georgia Tech & Facebook AI Research)	N/A	N/A
PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation	Bo Sun (UT Austin)*; Vladimir Kim (Adobe); Qixing Huang (The University of Texas at Austin); Noam Aigerman (Adobe); Siddhartha Chaudhuri (Adobe Research)	N/A	N/A
Network Binarization via Contrastive Learning	Yuzhang Shang (Illinois Institute of Technology)*; Dan Xu (The Hong Kong University of Science and Technology); Ziliang Zong (Texas State University); Liqiang Nie (Harbin Institute of Technology (Shenzhen)); Yan Yan (Illinois Institute of Technology)	N/A	N/A
Lipschitz Continuity Retained Binary Neural Network	Yuzhang Shang (Illinois Institute of Technology)*; Dan Xu (The Hong Kong University of Science and Technology); Bin Duan (Illinois Institute of Technology); Ziliang Zong (Texas State University); Liqiang Nie (Harbin Institute of Technology (Shenzhen)); Yan Yan (Illinois Institute of Technology)	N/A	N/A
Is Geometry Enough for Matching in Visual Localization?	Qunjie Zhou (Technical University of Munich)*; Sérgio Agostinho (Institute for Systems and Robotics, Instituto Superior Técnico, Universidade de Lisboa); Aljosa Osep (TUM Munich); Laura Leal-Taixé (TUM)	N/A	N/A
Webly Supervised Concept Expansion for General Purpose Vision Models	Amita Kamath (Allen Institute for Artificial Intelligence); Christopher A Clark (Allen Institute for AI)*; Tanmay Gupta (Allen Institute for Artificial Intelligence); Eric Kolve (Allen AI); Derek Hoiem (University of Illinois at Urbana-Champaign); Aniruddha Kembhavi (Allen Institute for Artificial Intelligence)	N/A	N/A
Compositional Human-Scene Interaction Synthesis with Semantic Control	Kaifeng Zhao (ETH Zurich)*; Shaofei wang (ETH Zurich); Yan Zhang (ETH Zurich); Thabo Beeler (Disney Research	Studios); Siyu Tang (ETH Zurich)	N/A
MaCLR: Motion-aware Contrastive Learning of Representations for Videos	Fanyi Xiao (Meta); Joseph Tighe (Amazon); Davide Modolo (Amazon)*	N/A	N/A
Transformers as Meta-Learners for Implicit Neural Representations	Yinbo Chen (UC San Diego)*; Xiaolong Wang (UCSD)	N/A	N/A
RAWtoBit: A Fully End-to-end Camera ISP Network	Wooseok Jeong (Korea University); Seung-Won Jung (Korea University)*	N/A	N/A
SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection from Multi-View Camera Images with Global Cross-Sensor Attention	Simon Doll (University of Tübingen)*; Richard Schulz (Mercedes Benz); Lukas Schneider (Daimer); Viviane Benzin (Mercedes-Benz AG); Markus Enzweiler (Esslingen University of Applied Sciences); Hendrik P. A. Lensch (University of Tübingen)	N/A	N/A
3D Face Reconstruction with Dense Landmarks	Erroll Wood (Microsoft)*; Tadas Baltrusaitis (Microsoft); Charlie Hewitt (Microsoft); Matthew A Johnson (Microsoft); Jingjing Shen (Microsoft); Nikola Milosavljevic (Microsoft); Daniel S Wilde (Microsoft); Stephan J Garbin (University College London); Toby Sharp (Microsoft); Ivan Stojiljkovic (Microsoft); Tom Cashman (Microsoft); Julien Valentin (Microsoft)	N/A	N/A
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds	Pei Sun (Waymo)*; Mingxing Tan (Waymo); Weiyue Wang (Waymo); Chenxi Liu (Waymo); Fei Xia (Waymo); Zhaoqi Leng (Waymo); Dragomir Anguelov (Waymo)	N/A	N/A
Incomplete Multi-view Domain Adaptation via Channel Enhancement and Knowledge Transfer	Haifeng Xia (Tulane University)*; Pu Wang (MERL); Zhengming Ding (Tulane University)	N/A	N/A
Exposure-Aware Dynamic Weighted Learning for Single-Shot HDR Imaging	An Gia Vien (Dongguk University); Chul Lee (Dongguk University)*	N/A	N/A
Seeing through a Black Box: Toward High-Quality Terahertz Imaging via Subspace-and-Attention Guided Restoration	Weng-Tai Su (National Tsing Hua University); Yi-Chun Hung (University of California, Los Angeles); Po-Jen Yu (National Tsing Hua University); Shang-Hua Yang (National Tsing Hua University); Chia-Wen Lin (National Tsing Hua University)*	N/A	N/A
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning	Zhenglun Kong (Northeastern University)*; Peiyan Dong (Northeastern University); Xiaolong Ma (Clemson University); Xin Meng (Peking university); Wei Niu (William & Mary); Mengshu Sun (Northeastern University); Xuan Shen (Northeastern University); Geng Yuan (Northeastern University); Bin Ren (William & Mary); Hao Tang (ETH Zurich); Minghai Qin (Western Digital Research); Yanzhi Wang (Northeastern University)	N/A	N/A
Soft Masking for Cost-Constrained Channel Pruning	Ryan Humble (Stanford University)*; Maying Shen (NVIDIA); Jorge Albericio Latorre (NVIDIA); Eric Darve (Stanford University); Jose M. Alvarez (NVIDIA)	N/A	N/A
Ensemble Learning Priors Driven Deep Unfolding forScalable Snapshot Compressive Imaging	Chengshuai Yang (Westlake University)*; Shiyu Zhang (Westlake University); Xin Yuan (Westlake University)	N/A	N/A
A Simple Baseline for Open Vocabulary Semantic Segmentation with Pre-trained Vision-language Model	Mengde Xu (Huazhong University of Science and Tech.); Zheng Zhang (MSRA)*; Fangyun Wei (Microsoft Research Asia); Yutong Lin (Xi’an Jiaotong University); Yue Cao (Microsoft Research); Han Hu (Microsoft Research Asia); Xiang Bai (Huazhong University of Science and Technology)	N/A	N/A
Triangle Attack: A Query-efficient Decision-based Adversarial Attack	Xiaosen Wang (Huazhong University of Science and Technology)*; Zeliang Zhang (Huazhong University of Sci. & Technology); Kangheng Tong (Huazhong University of Science and Technology); dihong gong (Tencent AI Lab); Kun He (Huazhong University of Science and Technology); Zhifeng Li (Tencent AI Lab); Wei Liu (Tencent)	N/A	N/A
Tailoring Self-Supervision for Supervised Learning	WonJun Moon (Sungkyunkwan University)*; Jihwan Kim (Sungkyunkwan University); Jae-Pil Heo (Sungkyunkwan University)	N/A	N/A
Difficulty-Aware Simulator for Open Set Recognition	WonJun Moon (Sungkyunkwan University)*; Jun ho Park (Sungkyunkwan university); Hyun Seok Seong (Sungkyunkwan University); Cheol-Ho Cho (Sungkyunkwan University); Jae-Pil Heo (Sungkyunkwan University)	N/A	N/A
Non-Uniform Step Size Quantization for Accurate Post-Training Quantization	Sangyun Oh (UNIST)*; Hyeonuk Sim (UNIST); Jounghyun Kim (UNIST); Jongeun Lee (UNIST)	N/A	N/A
FedVLN: Privacy-preserving Federated Vision-and-Language Navigation	Kaiwen Zhou (University of California, Santa Cruz)*; Xin Eric Wang (University of California, Santa Cruz)	N/A	N/A
Data-free Backdoor Removal Based on Channel Lipschitzness	Runkai Zheng (Chinese University of Hong Kong (Shenzhen)); Rongjun Tang (The Chinese University of Hong Kong, Shenzhen); Jianze Li (Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen); Li Liu (Shenzhen Research Institute of Big Data, the chinese university of hong kong shenzhen)*	N/A	N/A
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning	Haoran You (Rice University)*; Baopu Li (Baidu ); Zhanyi Sun (Rice University); Xu Ouyang (Rice University); Yingyan Lin (Rice University)	N/A	N/A
PCR-CG: Point Cloud Registration via Deep Explicit Color and Geometry	Yu Zhang (Shanghai Jiaotong University )*; Yu Junle (HangZhou dianzi university); Xiaolin Huang (Shanghai Jiao Tong University); Wenhui Zhou (Hangzhou Dianzi University); Ji Hou (Meta Reality Labs)	N/A	N/A
DistPro: Searching A Fast Knowledge Distillation Process via Meta Optimization	Xueqing Deng (University of California, Merced); Dawei Sun (University of Illinois Urbana-Champaign); Shawn Newsam (UC Merced); Peng Wang (Bytedance USA LLC.)*	N/A	N/A
Tomography of Turbulence Strength Based on Scintillation Imaging	Nir Shaul (Technion)*; Schechner Yoav (Technion)	N/A	N/A
Realistic Blur Synthesis for Learning Image Deblurring	Jaesung Rim (POSTECH); Geonung Kim (POSTECH); Jungeon Kim (POSTECH); Junyong Lee (POSTECH); Seungyong Lee (POSTECH); Sunghyun Cho (POSTECH)*	N/A	N/A
GLAMD: Global and Local Attention MaskDistillation for Object Detectors	YounHo Jang (Kyung Hee University); Wheemyung Shin (Kyung Hee University); Jinbeom Kim (Sungkyunkwan University (SKKU)); Sung-Ho Bae (Kyung Hee University)*; Simon S Woo (Sungkyunkwan University (SKKU))	N/A	N/A
Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously	Yi Sun (National University of Defense Technology); Jian Li (NUDT); Xin Xu (National University of Defense Technology)*	N/A	N/A
CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge Distillation	Yujin Oh (Kim Jaechul Graduate School of AI, KAIST, Korea); Jong Chul Ye (Kim Jaechul Graduate School of AI, KAIST, Korea)*	N/A	N/A
Emotion-aware Multi-view Contrastive Learning for Facial Emotion Recognition	Daeha Kim (Inha University); Byung Cheol Song (Inha University)*	N/A	N/A
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection	Danila Rukhovich (Samsung AI Center Moscow); Anna Vorontsova (Samsung AI Center)*; Anton S. Konushin (Samsung AI Center Moscow)	N/A	N/A
Video Dialog as Conversation about Objects Living in Space-Time	Hoang-Anh Pham (Deakin University)*; Thao Minh Le (Deakin University); Vuong Le (Deakin University); Tu Minh Phuong (Posts and Telecommunications Institute of Technology); Truyen Tran (Deakin University)	N/A	N/A
Few-Shot Class-Incremental Learning from an Open-Set Perspective	Can Peng (the University of Queensland)*; Kun Zhao (Sullivan Nicolaides Pathology); Tianren Wang (The University of Queensland); Meng Li (The University of Queensland); Brian C Lovell (University of Queensland)	N/A	N/A
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation	Fei Pan (KAIST)*; Sungsu Hur (KAIST); Seokju Lee (KENTECH); Junsik Kim (Harvard University); In So Kweon (KAIST)	N/A	N/A
DRCNet: Dynamic Image Restoration Contrastive Network	Fei Li (China Agricultural University)*; Lingfeng Shen (Tencent AI Lab); YANG MI (China Agricultural University); Zhenbo Li (China Agricultural University)	N/A	N/A
Order Learning Using Partially Ordered Data via Chainization	Seon-Ho Lee (MCL, Korea University); Chang-Su Kim (Korea university)*	N/A	N/A
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment	Chaeyeon Chung ( Korea Advanced Institute of Science and Technology)*; Taewoo Kim (Korea Advanced Institute of Science and Technology ); Yoonseo Kim (KAIST); Sunghyun Park (KAIST); Kangyeol Kim (KAIST); Jaegul Choo (Korea Advanced Institute of Science and Technology)	N/A	N/A
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions	SangYun Lee (Soongsil University); Gyojung Gu (Korea Advanced Institute of Science and Technology)*; Sunghyun Park (KAIST); Seunghwan Choi (Korea Advanced Institute of Science and Technology ); Jaegul Choo (Korea Advanced Institute of Science and Technology)	N/A	N/A
Zero-Shot Learning for Reflection Removal of Single 360-Degree Image	Byeong-Ju Han (Ulsan National Institute of Science and Technology ); Jae-Young Sim (Ulsan National Institute of Science and Technology)*	N/A	N/A
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution	Hengsheng Zhang (Shanghai Jiao Tong University)*; Xueyi Zou (Huawei Noah’s Ark Lab); Jiaming Guo (Huawei Noah’s Ark Lab); Youliang Yan (Huawei Noah’s Ark Lab); Rong Xie (Shanghai Jiao Tong University); Li Song (Shanghai Jiao Tong University)	N/A	N/A
Towards Ultra Low Latency Spiking Neural Networks for Vision and Sequential Tasks Using Temporal Pruning	Sayeed Shafayet Chowdhury (Purdue University)*; Nitin Rathi (Purdue University); Kaushik Roy (Purdue Uniiversity)	N/A	N/A
MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis	Athanasios Papaioannou (Huawei)*; Baris Gecer (Huawei); Shiyang Cheng (Samsung); Grigorios Chrysos (EPFL); Jiankang Deng (Imperial College London); Eftychia Fotiadou (Imperial College London); Christos Kampouris (ApolloXR); Dimitrios Kollias (Queen Mary University London); Stylianos Moschoglou (Huawei Technologies Co. Ltd); Kritaphat Songsri-In (Imperial College London); Stylianos Ploumpis (Huawei Technologies Co. Ltd); George Trigeorgis (Imperial College London ); Panagiotis Tzirakis (Imperial College London); Evangelos Ververas (Imperial College London); Yuxiang Zhou (Deepmind, Google); Allan Ponniah (NHS); Anastasios Roussos (Institute of Computer Science, Foundation for Research and Technology Hellas); Stefanos Zafeiriou (Imperial College London)	N/A	N/A
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack	Yixu Wang (Xiamen University)*; Jie Li (Xiamen University); Hong Liu (National Institute of Informatics ); Yan Wang (Pinterest); Yongjian Wu (Tencent Technology (Shanghai) Co.,Ltd); Feiyue Huang (Tencent); Rongrong Ji (Xiamen University, China)	N/A	N/A
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles	Guodong Wang (Beihang University)*; Yunhong Wang (State Key Laboratory of Virtual Reality Technology and System, Beihang University, Beijing 100191, China); Jie Qin (Nanjing University of Aeronautics and Astronautics); Dongming Zhang ( National Computer Network Emergency Response Technical Team/Coordination Center of China ); Xiuguo bao (National Computer Network Emergency Response Technical Team/Coordination Center of China); Di Huang (Beihang University, China)	N/A	N/A
Towards Accurate Network Quantization with Equivalent Smooth Regularizers	Kirill Solodskikh (Huawei Noah’s Ark Lab, MSU)*; Vladimir Chikin (Huawei Noah’s Ark Lab); Ruslan Aydarkhanov (Huawei Noah’s Ark Lab); Dehua Song (Huawei Noah’s Ark Lab); Irina Zhelavskaya (Skolkovo Institute of Science and Technology (Skoltech)); Jiansheng Wei (Huawei Technologies Co. Ltd.)	N/A	N/A
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model	Boah Kim (KAIST)*; Inhwa Han (KAIST); Jong Chul Ye (Kim Jaechul Graduate School of AI, KAIST, Korea)	N/A	N/A
An Impartial Take to the CNN vs Transformer Robustness Contest	Francesco Pinto (University of Oxford)*; Philip Torr (University of Oxford); Puneet Dokania (University of Oxford)	N/A	N/A
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval	Haoran Wang (Baidu)*; Dongliang He (Baidu); Wenhao Wu (Baidu); Boyang Xia (Institute of Computing Technology, Chinese Academy of Science); Min Yang (Baidu); Fu Li (Baidu); Yunlong Yu (Zhejiang University); Zhong Ji (Tianjin University); Errui Ding (Baidu Inc.); Jingdong Wang (Baidu)	N/A	N/A
Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination	Kangcheng LIU (The Chinese University of Hong Kong)*; Yuzhi Zhao (City University of Hong Kong); Qiang Nie (Tencent Youtu Lab); Zhi Gao (NUS); Ben M. Chen (Chinese University of Hong Kong)	N/A	N/A
FOSTER: Feature Boosting and Compression for Class-Incremental Learning	Fu-Yun Wang (Nanjing University)*; Da-Wei Zhou (Nanjing University); Han-Jia Ye (Nanjing University); De-Chuan Zhan (Nanjing University)	N/A	N/A
Delving into Universal Lesion Segmentation: Method, Dataset, and Benchmark	Yu Qiu (Nankai University)*; Jing Xu (Nankai University)	N/A	N/A
Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization	Vladimir Chikin (Huawei Noah’s Ark Lab)*; Kirill Solodskikh (Huawei Noah’s Ark Lab, MSU); Irina Zhelavskaya (Skolkovo Institute of Science and Technology (Skoltech))	N/A	N/A
Large scale Real-world Multi Person Tracking	Bing Shuai (Amazon)*; Alessandro Bergamo (Amazon); Uta Büchler (Amazon); Andrew G Berneshawi (Amazon); Alyssa Boden (Amazon Web Services); Joseph Tighe (Amazon)	N/A	N/A
Class-agnostic Object Detection with Multi-modal Transformer	Muhammad Maaz (MBZUAI)*; Hanoona Abdul Rasheed (MBZUAI); Salman Khan (MBZUAI/ANU); Fahad Shahbaz Khan (MBZUAI); Rao Muhammad Anwer (MBZUAI/AALTO); Ming-Hsuan Yang (University of California at Merced)	N/A	N/A
Language-Grounded Indoor 3D Semantic Segmentation in the Wild	Dávid Rozenberszki (Technische Universitat Munchen)*; Or Litany (Stanford); Angela Dai (Technical University of Munich)	N/A	N/A
Injecting 3D Perception of Controllable NeRF-GAN into StyleGAN for Editable Portrait Image Synthesis	Jeong-gi Kwak (Korea University); Yuanming Li (Korea University); Dongsik Yoon (Korea University); Donghyeon Kim (Korea university); David K Han (Drexel University); Hanseok Ko (Korea University)*	N/A	N/A
BASQ: Branch-wise Activation-clipping Search Quantization for Sub-4-bit Neural Networks	Han-Byul Kim (Seoul National University)*; Eunhyeok Park (POSTECH); Sungjoo Yoo (Seoul National University)	N/A	N/A
AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields	Andreas Kurz (Graz University of Technology)*; Thomas Neff (Graz University of Technology); Zhaoyang Lv (Facebook); Michael Zollhöfer (Facebook Reality Labs); Markus Steinberger (Graz University of Technology)	N/A	N/A
Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion	Zian Wang (University of Toronto)*; Wenzheng Chen (University of Toronto); David Acuna (University of Toronto, NVIDIA); Jan Kautz (NVIDIA); Sanja Fidler (University of Toronto, NVIDIA)	N/A	N/A
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation	Min Zhang (Zhejiang University)*; Siteng Huang (Westlake University); Wenbin Li (Nanjing University); Donglin Wang (Westlake University)	N/A	N/A
PoseScript: 3D Human Poses from Natural Language	Ginger Delmas (NAVER LABS EUROPE)*; Philippe Weinzaepfel (NAVER LABS Europe); Thomas LUCAS (Naver); Francesc Moreno (IRI); Gregory Rogez (NAVER LABS Europe)	N/A	N/A
Learning Energy-Based Models With Adversarial Training	Xuwang Yin (University of Virginia)*; Shiying Li (University of North Carolina, Chapel Hill); Gustavo Rohde (University of Virginia)	N/A	N/A
You Already Have It: A Generator-Free Low-Precision DNN Training Framework using Stochastic Rounding	Geng Yuan (Northeastern University)*; Sung-En Chang (Northeastern University); Qing Jin (Northeastern University); Alec Lu (Simon Fraser University ); Yanyu Li (Northeastern University); Yushu Wu (Northeastern University); Zhenglun Kong (Northeastern University); Yanyue Xie (Northeastern University); Peiyan Dong (Northeastern University); Minghai Qin (Western Digital Research); Xiaolong Ma (Clemson University); Xulong Tang (University of Pittsburgh); Zhenman Fang (Simon Fraser University); Yanzhi Wang (Northeastern University)	N/A	N/A
TIPS: Text-Induced Pose Synthesis	Prasun Roy (University of Technology Sydney)*; Subhankar Ghosh (University of Technology Sydney ); Saumik Bhattacharya (Indian Institute of Technology Kharagpur ); Umapada Pal (Indian Statistical Institute, Kolkata); Michael Blumenstein (University of Technology Sydney)	N/A	N/A
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction	Ron Slossberg (Technion)*; Ibrahim Jubran (The University of Haifa); Ron Kimmel (Technion)	N/A	N/A
Addressing Heterogeneity in Federated Learning via Distributional Transformation	Haolin Yuan (Johns Hopkins University); Bo Hui (Johns Hopkins University); Yuchen Yang (Johns Hopkins University); Philippe Burlina (JHU/APL/CS/SOM); Neil Zhenqiang Gong (Duke University); Yinzhi Cao (JHU)*	N/A	N/A
Adversarial Label Poisoning Attack on Graph Neural Networks via Label Propagation	Ganlin Liu (The University of Liverpool)*; Xiaowei Huang (Liverpool University); Xinping Yi (University of Liverpool)	N/A	N/A
Approximate Discrete Optimal Transport Plan with Auxiliary Measure Method	Dongsheng An (Stony Brook University)*; Na Lei (Dalian University of Technology); Xianfeng GU (Stony Brook University)	N/A	N/A
Visual Knowledge Tracing	Neehar Kondapaneni (Caltech)*; Pietro Perona (California Institute of Technology); Oisin Mac Aodha (University of Edinburgh)	N/A	N/A
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning	Xinlei He (CISPA Helmholtz Center for Information Security)*; Hongbin Liu (Duke University); Neil Zhenqiang Gong (Duke University); Yang Zhang (CISPA Helmholtz Center for Information Security)	N/A	N/A
DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation	Jaewoo Park (Seoul National University); Nam Ik Cho (Seoul National University)*	N/A	N/A
Accurate Detection of Proteins in Cryo-Electron Tomograms from Sparse Labels	Qinwen Huang (Duke University)*; Alberto Bartesaghi (Duke University); Ye Zhou (Duke University); Hsuan-Fu Liu (Duke University)	N/A	N/A
Subspace Diffusion Generative Models	Bowen Jing (Massachusetts Institute of Technology)*; Gabriele Corso (MIT); Renato Berlinghieri (MIT); Tommi Jaakkola (MIT)	N/A	N/A
Multi-modal Text Recognition Networks: Interactive Enhancements between Visual and Semantic Features	Byeonghu Na (KAIST); Yoonsik Kim (Clova AI Research, NAVER Corp.); Sungrae Park (Upstage AI Research, Upstage AI)*	N/A	N/A
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments	Khoi D. Nguyen (VinAI Research)*; Quoc-Huy Tran (Retrocausal, Inc.); Khoi Nguyen (VinAI Research); Binh-Son Hua (VinAI Research); Rang NGUYEN (VinAI Research)	N/A	N/A
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection	Kyle Min (Intel Labs); Sourya Roy (University of California, Riverside); Subarna Tripathi (Intel Labs)*; Tanaya Guha (University of Glasgow); Somdeb Majumdar (Intel Labs)	N/A	N/A
Relative Contrastive Loss for Unsupervised Representation Learning	Shixiang Tang (The University of Sydney)*; Feng Zhu (University of Science and Technology of China); Lei Bai (Shanghai AI Laboratory); Rui Zhao (SenseTime Group Limited); Wanli Ouyang (The University of Sydney)	N/A	N/A
Personalized Education: Blind Knowledge Distillation	Xiang Deng (State University of New York at Binghamton)*; Jian Zheng (Amazon); Zhongfei Zhang (Binghamton University)	N/A	N/A
Fast Two-View Motion Segmentation Using Christoffel Polynomials	Bengisu Ozbay (Northeastern University); Octavia Camps (Northeastern University); Mario Sznaier (Northeastern University)*	N/A	N/A
Real Spike: Learning Real-valued Spikes for Spiking Neural Networks	Yufei Guo (The Second Academy of China Aerospace Science and Industry Corporation)*; Liwen Zhang (X Lab, the Second Academy of CASIC, Beijing); Yuanpei Chen (X LAB,The Second Academy of CASIC,Beijing); Xinyi Tong (The Second Academy of China Aerospace Science and Industry Corporation); Xiaode Liu (X Lab, The Second Academy of China Aerospace Science and Industry Corporation); YingLei Wang (CASIC); Xuhui Huang (X Lab, The Second Academy of CASIC); Zhe Ma (Xlab, the Second Academy of CASIC, Beijing)	N/A	N/A
Language-Driven Artistic Style Transfer	Tsu-Jui Fu (UCSB)*; Xin Eric Wang (University of California, Santa Cruz); William Yang Wang (UC Santa Barbara)	N/A	N/A
FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks	Vaikkunth Mugunthan (DynamoFL)*; Eric Lin (DynamoFL); Vignesh Gokul (University of California San Diego); Christian Lau (DynamoFL); Lalana Kagal (MIT); Steve Pieper (Isomics, Inc.)	N/A	N/A
Transformer with Implicit Edges for Particle-based Physics Simulation	Yidi Shao (Nanyang Technological University)*; Chen Change Loy (Nanyang Technological University); Bo Dai (Shanghai AI Lab)	N/A	N/A
Improving the Perceptual Quality of 2D Animation Interpolation	Shuhong Chen (University of Maryland – College Park)*; Matthias Zwicker (University of Maryland)	N/A	N/A
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning	Tao He (Monash University); Lianli Gao (The University of Electronic Science and Technology of China); Jingkuan Song (UESTC); Yuan-Fang Li (Monash University)*	N/A	N/A
S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning	Jayateja Kalla (Indian Institute of Science); Soma Biswas (Indian Institute of Science, Bangalore)*	N/A	N/A
Entry-Flipped Transformer for Inference and Prediction of Participant Behavior	BO HU (Nanyang Technological University)*; Tat-Jen Cham (Nanyang Technological University)	N/A	N/A
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning	Mamshad Nayeem Rizve (University of Central Florida)*; Navid Kardan (University of Central Florida); Salman Khan (MBZUAI/ANU); Fahad Shahbaz Khan (MBZUAI); Mubarak Shah (University of Central Florida)	N/A	N/A
Fine-grained Fashion Representation Learning by Online Deep Clustering	Yang Jiao (Amazon)*; Ning Xie (Amazon); Yan Gao (Amazon); Chien-Chih Wang (Amazon); Yi Sun (Amazon)	N/A	N/A
Perspective Phase Angle Model for Polarimetric 3D Reconstruction	Guangcheng Chen (Guangdong University of Technology)*; Li He (Southern University of Science and Technology); Yisheng Guan (Guangdong University of Technology); Hong Zhang (University of Alberta)	N/A	N/A
Selective TransHDR: Transformer-based selective HDR Imaging using Ghost Region Mask	Jou Won Song (Sogang University); Ye-In Park (Sogang University); Kyeongbo Kong (Pukyong National University); Jaeho Kwak (Sogang University); Suk-Ju Kang (Sogang University)*	N/A	N/A
3D Interacting Hand Pose Estimation by Hand De-occlusion and Removal	Hao Meng (BeiHang University); Sheng Jin (The University of Hong Kong)*; Wentao Liu (Sensetime); Chen Qian (SenseTime); Mengxiang Lin (Beihang University); Wanli Ouyang (The University of Sydney); Ping Luo (The University of Hong Kong)	N/A	N/A
Recover Fair Deep Classification Models via Altering Pre-trained Structure	Yanfu Zhang (University of Pittsburgh)*; Shangqian Gao (University of Pittsburgh); Heng Huang (University of Pittsburgh)	N/A	N/A
Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism	Yangyang Shu (University of Adelaide); Lingqiao Liu (University of Adelaide)*; Baosheng Yu (The University of Sydney); Haiming Xu (The University of Adelaide)	N/A	N/A
VSA: Learning Varied-Size Window Attention in Vision Transformers	Qiming Zhang (The University of Sydney)*; YUFEI XU (University of sydney); Jing Zhang (The University of Sydney); Dacheng Tao (JD.com)	N/A	N/A
PoseGPT: Quantization-based 3D Human Motion Generation and Forecasting	Thomas LUCAS (Naver)*; Fabien Baradel (Naver Labs Europe); Philippe Weinzaepfel (NAVER LABS Europe); Gregory Rogez (NAVER LABS Europe)	N/A	N/A
CAViT: Contextual Alignment Vision Transformer for Video Object Re-identification	jinlin wu (Institute of Automation, Chinese Academy of Sciences, Beijing, China)*; He Lingxiao (nlpr，cripac); Wu Liu (AI Research of JD.com); Yang Yang (Institute of Automation, Chinese Academy of Sciences); Zhen Lei (NLPR, CASIA, China); Tao Mei (AI Research of JD.com); Stan Z. Li (Westlake University)	N/A	N/A
Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution	Cheng Ma (Tsinghua University); Jingyi Zhang (Tsinghua University); Jie Zhou (Tsinghua University); Jiwen Lu (Tsinghua University)*	N/A	N/A
Frozen CLIP Models are Efficient Video Learners	Ziyi Lin (The Chinese University of Hong Kong)*; Shijie Geng (Rutgers University); Renrui Zhang (Shanghai AI Lab); Peng Gao (Chinese university of hong kong); Gerard de Melo (Hasso Plattner Institute); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong); Jifeng Dai (SenseTime); Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences); Hongsheng Li (The Chinese University of Hong Kong)	N/A	N/A
Deforming Radiance Fields with Cages	Tianhan Xu (The University of Tokyo)*; Tatsuya Harada (The University of Tokyo / RIKEN)	N/A	N/A
GeoAug: Data Augmentation for Few-Shot NeRF with Geometry Constrains	Di Chen (Alibaba Group)*; Yu Liu (Alibaba Group); Lianghua Huang (Alibaba Group); bin wang (alibaba group); Pan Pan (Alibaba Group)	N/A	N/A
DoodleFormer: Creative Sketch Drawing with Transformers	Ankan Kumar Bhunia (MBZUAI)*; Salman Khan (MBZUAI/ANU); Hisham Cholakkal (MBZUAI); Rao Muhammad Anwer (MBZUAI/AALTO); Fahad Shahbaz Khan (MBZUAI); Jorma Laaksonen (Aalto University); Michael Felsberg (Linköping University)	N/A	N/A
Implicit Neural Representations for Variable Length Human Motion Generation	Pablo Alberto Cervantes Baque (Tokyo Institute of Technology)*; Yusuke Sekikawa (Denso IT Laboratory); Ikuro Sato (Tokyo Institute of Technology / Denso IT Laboratory); Koichi SHINODA (Tokyo Institute of Technology)	N/A	N/A
FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction	Brian Gordon (Tel Aviv University); Sigal Raab (Tel Aviv University)*; Guy Azov (Tel Aviv University); Raja Giryes (Tel Aviv University); Danny Cohen-Or (Tel Aviv University)	N/A	N/A
Pairwise Contrastive Learning Network for Action Quality Assessment	Mingzhe Li (Huaqiao University); Hong-Bo Zhang (Huaqiao University)*; Qing Lei (Huaqiao University); Zongwen Fan (Huaqiao University); Jinghua Liu (Huaqiao University); Ji-Xiang Du (Huaqiao University)	N/A	N/A
Large-displacement 3D Object Tracking with Hybrid Non-local Optimization	Xuhui Tian (Shandong University)*; Xinran Lin (Shandong University); Fan Zhong (Shandong University); Xueying N/A Qin (Shandong University)	N/A	N/A
Learning Object Placement via Dual-path Graph Completion	Siyuan Zhou (Shanghai Jiao Tong University)*; Liu Liu (Shanghai Jiao Tong University); Li Niu (Shanghai Jiao Tong University); Liqing Zhang (Shanghai Jiao Tong University)	N/A	N/A
Unbiased Manifold Augmentation for Coarse Class Subdivision	Baoming Yan (Alibaba Group)*; KE GAO (alibaba-inc); Bo Gao (Alibaba Group); Lin Wang (Alibaba-inc); Jiang Yang (Alibaba Group); Xiaobo Li (Alibaba)	N/A	N/A
Rethinking Video Rain Streak Removal: A New Synthesis Model and A Deraining Network with Video Rain Prior	Shuai Wang ( College of Intelligence and Computing, Tianjin University); Lei Zhu (The Hong Kong University of Science and Technology (Guangzhou))*; Huazhu Fu (IHPC, ASTAR); Jing Qin (The Hong Kong Polytechnic University); Carola-Bibiane B Schönlieb (Cambridge University); Wei Feng (School of Computer Science and Technology, Tianjin University); Song Wang (University of South Carolina)	N/A	N/A
Expanded Adaptive Scaling Normalization for End to End Image Compression	Chajin Shin (Yonsei University)*; Hyeongmin Lee (Yonsei University ); Hanbin Son (Yonsei Univ.); Sangjin Lee (Yonsei University); Dogyoon Lee (Yonsei University); Sangyoun Lee (Yonsei University)	N/A	N/A
Embedding contrastive unsupervised features to cluster in- and out-of-distribution noise in corrupted image datasets	Paul Albert (Insight Centre for Data Analytics (DCU))*; Eric Arazo (Insight Centre for Data Analytics (DCU)); Noel O Connor (Home); Kevin McGuinness (DCU)	N/A	N/A
Filter Pruning via Feature Discrimination in Deep Neural Networks	Zhiqiang He (Zhejiang University of Science and Technology)*; Yaguan QIAN (Zhejiang University of Science and Technology); Yuqi Wang (Zhejiang University of Science and Technology); Bin WANG (Network and Information Security Laboratory of Hangzhou Hikvision Digital Technology Co.); Xiaohui Guan (Zhejiang University of Water Resources and Electric Power); Zhaoquan Gu (Guangzhou University); Xiang Ling (Institute of Software, Chinese Academy of Sciences); Shaoning Zeng (Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China); Haijiang Wang (Zhejiang University of Science and Technology); Wujie Zhou (Zhejiang University of Science and Technology)	N/A	N/A
VoViT: Low Latency Graph-based Audio-Visual Voice Separation Transformer	Juan Felipe Montesinos (Universitat Pompeu Fabra)*; Venkatesh Shenoy Kadandale (Universitat Pompeu Fabra); Gloria Haro (Universitat Pompeu Fabra)	N/A	N/A
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition	Dajian Zhong (East China Normal University)*; Shujing Lv (East China Normal University); Palaiahnakote Shivakumara (University of Malaya); Bing Yin (IFLYTEK Co.,Ltd); Jiajia Wu (IFLYTEK Co.,Ltd); Umapada Pal (Indian Statistical Institute, Kolkata); Yue Lu (East China Normal University)	N/A	N/A
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set Recognition	Matej Grcić (University of Zagreb, Faculty of Electrical Engineering and Computing)*; Petra Bevandić (Faculty of Electrical Engineering and Computing); Sinisa Segvic (UniZg-FER)	N/A	N/A
D2-TPred: Discontinuous Dependency for Trajectory Prediction under Traffic Lights	Yuzhen Zhang (Zhengzhou University); Wentong Wang (Zhengzhou University); weizhi guo (zhengzhou university); Pei Lv (Zhengzhou University)*; Mingliang Xu (Zhengzhou University); Wei Chen (State Key Lab of CAD&CG, Zhejiang University); Dinesh Manocha (University of Maryland at College Park)	N/A	N/A
Where in the World is this Image? Transformer-based Geo-localization in the Wild	Shraman Pramanick (Johns Hopkins University)*; Ewa M Nowara (Meta Reality Labs); Joshua Gleason (Univ of Maryland); Carlos Castillo (Johns Hopkins University); Rama Chellappa (Johns Hopkins University)	N/A	N/A
MODE: Multi-view Omnidirectional Depth Estimation with 360-degree Cameras	Ming Li (NanJing University)*; Xueqian Jin (Nanjing University); Xuejiao Hu (Nanjing University); Jingzhao Dai (Nanjing University); Sidan Du (Nanjing University); Yang Li (NanJing University)	N/A	N/A
NashAE: Disentangling Representations through Adversarial Covariance Minimization	Eric C Yeats (Duke University)*; Frank Liu (Oak Ridge National Lab); David Womble (Oak Ridge National Laboratory); Hai Li (Duke University)	N/A	N/A
Rethinking Confidence Calibration for Failure Prediction	Fei Zhu (Institute of Automation of Chinese Academy of Sciences)*; Zhen Cheng (Institute of Automation of Chinese Academy of Sciences); Xu-Yao Zhang (Institute of Automation of Chinese Academy of Sciences); Cheng-Lin Liu (Institute of Automation of Chinese Academy of Sciences)	N/A	N/A
Colorization for in situ marine plankton images	Guannan Guo (Shenzhen Institute of Advanced Technology ,Chinese Academy of Sciences); Qi Lin (Xiamen University); Tao Chen (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences); Zhenghui Feng (Harbin Institute of Technology, Shenzhen); Zheng Wang (Shenzhen Institutes of Advanced Technology); Jianping Li (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences)*	N/A	N/A
PIP: Physical Interaction Prediction via Mental Simulation with Span Selection	Jiafei Duan (University of Washington, Seattle)*; Samson Yu (Agency for Science, Technology and Research); Soujanya Poria (Singapore University of Technology and Design); Bihan Wen (Nanyang Technological University); Cheston Tan (Institute for Infocomm Research, Singapore)	N/A	N/A
Generator Knows What Discriminator Should Learn in Unconditional GANs	Gayoung Lee (NAVER AI Lab)*; Hyunsu Kim (NAVER AI Lab); Junho Kim (NAVER AI Lab); Seonghyeon Kim (Clova AI Research, NAVER Corp.); Jung-Woo Ha (NAVER CLOVA AI Lab); Yunjey Choi (NAVER AI Lab)	N/A	N/A
A Gyrovector Space Approach for Symmetric Positive Semi-definite Matrix Learning	Xuan Son Nguyen (Ensea)*	N/A	N/A
Compositional Visual Generation with Composable Diffusion Models	Nan Liu (University of Illinois at Urbana-Champaign); Shuang Li (MIT); Yilun Du (MIT)*; Antonio Torralba (MIT); Joshua Tenenbaum (MIT)	N/A	N/A
Temporal and cross-modal attention for audio-visual zero-shot learning	Otniel-Bogdan Mercea (University of Tübingen)*; Thomas Hummel (University of Tübingen); A. Sophia Koepke (University of Tübingen); Zeynep Akata (University of Tübingen)	N/A	N/A
Telepresence Video Quality Assessment	Zhenqiang Ying (The University of Texas at Austin)*; Deepti Ghadiyaram (Facebook); Alan Bovik (University of Texas at Austin)	N/A	N/A
Enhancing Multi-modal Features Using Local Self-attention for 3D Object Detection	hao li (Hikvision Digital Technology Co. Ltd)*; Zehan Zhang (Shanghai Jiao Tong University & Hangzhou Hikvision Digital Technology Co. Ltd); Zhao Xian (Hikvision); yulong wang (Hikvision Digital Technology Co. Ltd); Yuxi Shen (Hikvision); Shiliang Pu (Hikvision Research Institute); Hui Mao (Hangzhou hikvision digital technology Co.,Ltd)	N/A	N/A
Totems: Physical Objects for Verifying Visual Integrity	Jingwei Ma (University of Washington)*; Lucy Chai (MIT); Minyoung Huh (MIT); Tongzhou Wang (MIT); Ser-Nam Lim (Meta AI); Phillip Isola (MIT); Antonio Torralba (MIT)	N/A	N/A
ManiFest: manifold deformation for few-shot image translation	Fabio Pizzati (Inria / Vislab)*; Jean-Francois Lalonde (Université Laval); Raoul de Charette (Inria)	N/A	N/A
3D Shape Sequence of Human Comparison and Classification using Current and Varifolds	Emery Pierson (Université de Lille)*; Mohamed Daoudi (IMT Lille Douai); Sylvain Arguillere (Institute Camille Jordan)	N/A	N/A
Decouple-and-Sample: Protecting sensitive information in task agnostic data release	Abhishek Singh (MIT)*; Ethan Garza (MIT); Ayush Chopra (MIT); Praneeth Vepakomma (MIT); Vivek Sharma (MIT); Ramesh Raskar (Massachusetts Institute of Technology)	N/A	N/A
Not All Models Are Equal: Predicting Model Transferability in a Self-challenging Fisher Space	Wenqi Shao (The Chinese University of HongKong)*; Xun Zhao (Tencent Company); Yixiao Ge (Tencent); Zhaoyang Zhang (The Chinese University of Hong Kong); Lei Yang (Tencent); Xiaogang Wang (Chinese University of Hong Kong, Hong Kong); Ying Shan (Tencent); Ping Luo (The University of Hong Kong)	N/A	N/A
Object Detection as Probabilistic Set Prediction	Georg Hess (Chalmers University of Technology)*; Christoffer Petersson (Zenseact); Lennart Svensson (Chalmers University of Technology)	N/A	N/A
k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment	Minkyu Jeon (Korea University)*; Hyeonjin Park (Korea university); Hyunwoo J Kim (Korea University); Michael G Morley (Ophthalmic Consultants fo Boston); Hyunghoon Cho (Broad Institute of MIT and Harvard)	N/A	N/A
Uncertainty-guided Source-free Domain Adaptation	Subhankar Roy (University of Trento)*; Martin Trapp (Aalto University ); Andrea Pilzer (Aalto University); Juho Kannala (Aalto University, Finland); Nicu Sebe (University of Trento); Elisa Ricci (University of Trento); Arno Solin (Aalto University)	N/A	N/A
LA3: Efficient Label-Aware AutoAugment	Mingjun Zhao (University of Alberta)*; Shan Lu (University of Alberta); Zixuan Wang (Tencent Inc.); Xiaoli Wang (Tencent); Di Niu (University of Alberta)	N/A	N/A
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions	Zhi Li (University of California, Berkeley)*; Lu He (Tencent America); Huijuan Xu (Pennsylvania State University)	N/A	N/A
Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos	Tanqiu Qiao (Durham University); Qianhui Men (University of Oxford); Frederick W. B. Li (University of Durham); Yoshiki Kubotani (Waseda University); Shigeo Morishima (Waseda Research Institute for Science and Engineering); Hubert P. H. Shum (Durham University)*	N/A	N/A
FEAR: Fast, Efficient, Accurate and Robust Visual Tracker	Vasyl Borsuk (Ukrainian Catholic University); Roman Vei (Ukrainian Catholic University); Orest Kupyn (Ukrainian Catholic University); Tetiana Martyniuk (Ukrainian Catholic University)*; Igor Krashenyi (Piñata Farms); Jiri Matas (CMP CTU FEE)	N/A	N/A
Variance-Aware Weight Initializationfor Point Convolutional Neural Networks	Pedro Hermosilla Casajus (Ulm University)*; Michael Schelling (Ulm University – Institute of Media Informatics); Tobias Ritschel (UCL); Timo Ropinski (Ulm University)	N/A	N/A
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training	Haoxuan You (Columbia University)*; Luowei Zhou (Microsoft); Bin Xiao (Microsoft); Noel C Codella (Microsoft); Yu Cheng (Microsoft Research); Ruochen Xu (Microsoft); Shih-Fu Chang (Columbia University); Lu Yuan (Microsoft)	N/A	N/A
Single-Stream Multi-Level Alignment for Vision-Language Pretraining	Zaid Khan (Northeastern University)*; Vijay Kumar B G (NEC Laboratories America); Xiang Yu (NEC Labs); Samuel Schulter (NEC Laboratories America); Manmohan Chandraker (UC San Diego); YUN FU (Northeastern University)	N/A	N/A
Revisiting Outer Optimization in Adversarial Training	Ali Dabouei (West Virginia university)*; Fariborz Taherkhani (Carnegie Mellon University); Sobhan Soleymani (West Virginia University); Nasser Nasrabadi (West Virginia University)	N/A	N/A
Supervised Attribute Information Removal and Reconstruction for Image Manipulation	Nannan Li (Boston University)*; Bryan Plummer (Boston University)	N/A	N/A
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification	Jianxiong Shen (IRI, CSIC-UPC)*; Antonio Agudo (Institut de Robotica i Informatica Industrial, CSIC-UPC); Francesc Moreno (IRI); Adria Ruiz (Seedtag)	N/A	N/A
BLT: Bidirectional Layout Transformer for Controllable Layout Generation	Xiang Kong (Carnegie Mellon University)*; Lu Jiang (Google Research); Huiwen Chang (Google); Han Zhang (Google); Yuan Hao (Google); Haifeng Gong (Google Inc.); Irfan Essa (Google)	N/A	N/A
Neural Correspondence Field for Object Pose Estimation	Lin Huang (University at Buffalo); Tomas Hodan (Facebook Reality Labs)*; Lingni Ma (Facebook Reality Labs); Linguang Zhang (Facebook Reality Labs); Luan Tran (Facebook); Christopher D Twigg (Meta); PO-CHEN WU (Meta Inc.); Junsong Yuan (“State University of New York at Buffalo, USA”); Cem Keskin (Facebook); Robert Wang (Facebook Reality Labs)	N/A	N/A
The Missing Link: Finding label relations across datasets	Jasper Uijlings (Google Research)*; Thomas Mensink (Google Research); Vittorio Ferrari (Google Research)	N/A	N/A
On Label Granularity and Object Localization	Elijah Cole (Caltech)*; Kimberly Wilber (Google); Grant Van Horn (Cornell University); Xuan Yang (Google); Marco Fornoni (Google); Pietro Perona (California Institute of Technology); Serge Belongie (University of Copenhagen); Andrew Howard (Google); Oisin Mac Aodha (University of Edinburgh)	N/A	N/A
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification	Moinak Bhattacharya (Stony Brook University)*; Shubham Jain (Stony Brook University); Prateek Prasanna (Stony Brook University)	N/A	N/A
OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search	Sanghoon Lee (Yonsei University); Youngmin Oh (Yonsei University); Donghyeon Baek (Yonsei University); Junghyup Lee (Yonsei University); Bumsub Ham (Yonsei University)*	N/A	N/A
Most and Least Retrievable Images in Visual-Language Query Systems	Liuwan Zhu (Old Dominion University)*; Rui Ning (Old Dominion University); Jiang Li (Old Dominion University); Chunsheng Xin (Old Dominion University); Hongyi Wu (Univesity of Arizona)	N/A	N/A
Contrasting quadratic assignments for set-based representation learning	Artem Moskalev (University of Amsterdam)*; Ivan Sosnovik (University of Amsterdam); Volker Fischer (Bosch Center for Artificial Intelligence); Arnold W.M. Smeulders (University of Amsterdam)	N/A	N/A
How stable are Transferability Metrics evaluations?	Andrea Agostinelli (Google)*; Michal Pandy (University of Cambridge); Jasper Uijlings (Google Research); Thomas Mensink (Google Research); Vittorio Ferrari (Google Research)	N/A	N/A
A Comparative Study of Graph Matching Algorithms in Computer Vision	Stefan Haller (Heidelberg University)*; Lorenz Feineis (Heidelberg University); Lisa Hutschenreiter (Heidelberg University); Florian Bernard (University of Bonn); Carsten Rother (University of Heidelberg); Dagmar Kainmueller (MDC); Paul Swoboda (MPI fuer Informatik, Saarbruecken); Bogdan Savchynskyy (Heidelberg University)	N/A	N/A
HM: Hybrid Masking for Few-Shot Segmentation	Seonghyeon Moon (Rutgers University)*; Samuel S Sohn (Rutgers University); Honglu Zhou (Rutgers University); Sejong Yoon (The College of New Jersey); Vladimir Pavlovic (Rutgers University); Muhammad Haris Khan (Muhammad Bin Zayed University of Artificial Intelligence); Mubbasir Kapadia (Rutgers)	N/A	N/A
UCTNet: Uncertainty-aware Cross-modal Transformer Network for Indoor RGB-D Semantic Segmentation	Xiaowen Ying (Lehigh University)*; Mooi Choo Chuah (Lehigh University)	N/A	N/A
Learning Omnidirectional Flow in 360° Video via Siamese Representation	Keshav Bhandari (Texas State University)*; Bin Duan (Illinois Institute of Technology); Gaowen Liu (Cisco Research); Hugo M Latapie (Cisco); Ziliang Zong (Texas State University); Yan Yan (Illinois Institute of Technology)	N/A	N/A
Improving Generalization in Federated Learning by Seeking Flat Minima	Debora Caldarola (Politecnico di Torino)*; Barbara Caputo (Politecnico di Torino); Marco Ciccone (Politecnico di Torino)	N/A	N/A
Efficient Deep Visual and Inertial Odometry with Adaptive Visual Modality Selection	Mingyu Yang (University of Michigan)*; Yu Chen (University of Michigan); Hun Seok Kim (Nil)	N/A	N/A
MultiMAE: Multi-modal Multi-task Masked Autoencoders	Roman Bachmann (EPFL)*; David Mizrahi (EPFL); Andrei Atanov (EPFL); Amir Zamir (Swiss Federal Institute of Technology (EPFL))	N/A	N/A
GigaDepth: Learning Depth from StructuredLight with Branching Neural Networks	Simon Schreiberhuber (TUWien)*; Jean-Baptiste Weibel (TU Wien); Timothy Patten (University of Technology Sydney); Markus Vincze (TU Wien)	N/A	N/A
Diverse Generation from a Single Video Made Possible	Niv Haim (Weizmann Institute of Science)*; Ben Feinstein (Weizmann Institute of Science); Niv Granot (Weizmann Institute of Science); Assaf Shocher (Weizmann Institute of Science); Shai Bagon (Weizmann Institute of Science); Tali Dekel (Weizmann Institute of Science); Michal Irani (Weizmann Institute, Israel)	N/A	N/A
Privacy-Preserving Action Recognition via Motion Difference Quantization	Sudhakar Kumawat (Osaka University)*; Hajime Nagahara (Osaka University)	N/A	N/A
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation	Zaid Tasneem (Rice University); Giovanni Milione (4 independence Way, Princeton, NJ 08540); Yi-Hsuan Tsai (Phiar Technologies); Xiang Yu (NEC Labs); Ashok Veeraraghavan (Rice University); Manmohan Chandraker (UC San Diego); Francesco Pittaluga (NEC Laboratories America)*	N/A	N/A
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training	Jiaheng Wei (UCSC)*; Minghao Liu (UCSC); Jiahao Luo (UCSC); Andrew Zhu (UCSC); James E Davis (UC Santa Cruz); Yang Liu (UC Santa Cruz)	N/A	N/A
Should All Proposals be Treated Equally in Object Detection?	Yunsheng Li (UCSD)*; Yinpeng Chen (Microsoft); Xiyang Dai (Microsoft); DongDong Chen (Microsoft Cloud AI); Mengchen Liu (Microsoft); Pei Yu (); Ying Jin (Microsoft); Lu Yuan (Microsoft); Zicheng Liu (Microsoft); Nuno Vasconcelos (UC San Diego)	N/A	N/A
Interpretations Steered Network Pruning via Amortized Inferred Saliency Maps	Alireza Ganjdanesh (University of Pittsburgh); Shangqian Gao (University of Pittsburgh); Heng Huang (University of Pittsburgh)*	N/A	N/A
Out-of-Distribution Identification: Let Detector Tell Which I Am Not Sure	Ruoqi Li (SJTU); Chongyang Zhang (Shanghai Jiao Tong University)*; Hao Zhou (Shanghai Jiao Tong University); Chao Shi (Shanghai Jiao Tong University); Yan Luo (Shanghai Jiao Tong University)	N/A	N/A
Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space	Shuo Li (Xidian University); Fang Liu (Xidian University)*; Zehua Hao (Xidian University); Kaibo Zhao (Xidian University); Licheng Jiao (Xidian University)	N/A	N/A
ViP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers	Junbo Li (UC Santa Cruz); Huan Zhang (UCLA); Cihang Xie (University of California, Santa Cruz)*	N/A	N/A
Panoramic Vision Transformer for Saliency Detection in 360 Videos	Heeseung Yun (Seoul National University)*; Sehun Lee (Seoul National University); Gunhee Kim (Seoul National University)	N/A	N/A
ActiveNeRF: Learning where to See with Uncertainty Estimation	Xuran Pan (Tsinghua University); Zihang Lai (CMU); Shiji Song (Department of Automation, Tsinghua University); Gao Huang (Tsinghua)*	N/A	N/A
incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection	Amanda S Rios (University of Southern California; Intel )*; Nilesh A Ahuja (Intel); Ibrahima Ndiour (Intel); Ergin U Genc (Intel); Laurent Itti (University of Southern California); Omesh Tickoo (Intel)	N/A	N/A
BA-Net: Bridge Attention for Deep Convolutional Neural Networks	Yue Zhao (Sun Yat-sen University); Junzhou Chen (Sun Yat-sen University)*; Zhang Zirui (Sun Yat-sen University); Ronghui Zhang (Sun Yat-Sen University)	N/A	N/A
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images	Jinjin Gu (The University of Sydney)*; Haoming CAI (University of Maryland, College Park); Chenyu Dong (Graduate school at Shenzhen , Tsinghua University); Ruofan Zhang (Tsinghua University); Yulun Zhang (ETH Zurich); Wenming Yang (Tsinghua University); Chun Yuan (Graduate school at ShenZhen，Tsinghua university)	N/A	N/A
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance	Zhihang Zhong (The University of Tokyo); Xiao Sun (Microsoft Research Asia); Zhirong Wu (Microsoft Research); Yinqiang Zheng (The University of Tokyo); Stephen Lin (Microsoft Research)*; Imari Sato (National Institute of Informatics)	N/A	N/A
Zero-Shot Attribute Attacks on Fine-Grained Recognition Models	Nasim Shafiee (Northeastern University)*; Ehsan Elhamifar (Northeastern University)	N/A	N/A
Break and Make: Interactive Structural Understanding Using LEGO Bricks	Aaron T Walsman (University of Washington)*; Muru Zhang (University of Washington); Klemen Kotar (Allen Institute for AI); Karthik Desingh (University Washington); Dieter Fox (NVIDIA Research / University of Washington); Ali Farhadi (University of Washington, Allen Institue for AI, Apple)	N/A	N/A
PoserNet: Refining Relative Camera Poses Exploiting Object Detections	Matteo Taiana (Istituto Italiano di Tecnologia)*; Matteo Toso (Istituto Italiano di Tecnologia); Stuart James (Istituto Italiano di Tecnologia (IIT)); Alessio Del Bue (Istituto Italiano di Tecnologia (IIT))	N/A	N/A
Towards Effective and Robust Neural Trojan Defenses via Input Filtering	Kien Duc Do (Deakin Unviersity)*; Haripriya Harikumar (Deakin University); Hung Le (Deakin University); Dung Nguyen (Deakin University); Truyen Tran (Deakin University); Santu Rana (Deakin University, Australia); Dang Nguyen (Deakin University); Willy Susilo (University of Wollongong); Svetha Venkatesh (Deakin University)	N/A	N/A
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums	Conghao Wong (Huazhong University of Science and Technology); Beihao Xia (Huazhong University of Science and Technology); Ziming Hong (Huazhong University of Science and Technology); Qinmu Peng (Huazhong University of Science and Technology); Wei Yuan (Huazhong University of Science and Technology); Qiong Cao (JD.com); Yibo Yang (Peking University); Xinge YOU (Huazhong University of Science and Technology)*	N/A	N/A
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation	Geon Lee (Yonsei University); Chanho Eom (Yonsei University); Wonkyung Lee (PS Analytics); Hyekang Park (Yonsei University); Bumsub Ham (Yonsei University)*	N/A	N/A
Rayleigh EigenDirections (REDs): Nonlinear GAN latent space traversals for multidimensional features	Guha Balakrishnan (Rice University)*; Raghudeep Gadde (Amazon); Aleix M Martinez (Amazon); Pietro Perona (Amazon Web Services (AWS))	N/A	N/A
ActionFormer: Localizing Moments of Actions with Transformers	Chen-Lin Zhang (4Paradigm, Inc); Jianxin Wu (Nanjing University); Yin Li (University of Wisconsin-Madison)*	N/A	N/A
Theoretical Understanding of the Information Flow on Continual Learning Performance	Joshua J Andle (University of Maine); Salimeh Yasaei Sekeh (University of Maine)*	N/A	N/A
3DG-STFM: 3D Geometric Guided Student-Teacher Feature Matching	Runyu Mao (Purdue University)*; Chen Bai (Xpeng Motors); yatong an (xm); Fengqing Maggie Zhu (Purdue University, USA); Cheng Lu (Xiaopeng)	N/A	N/A
Pure Transformer with Integrated Experts for Scene Text Recognition	Yew Lee Tan (Nanyang Technological University)*; Wai-Kin Adams Kong (Nanyang Technological University); Jung Jae Kim (I2R)	N/A	N/A
AudioScopeV2: Audio-Visual Attention Architectures for Calibrated Open-Domain On-Screen Sound Separation	Efthymios Tzinis (University of Illinois at Urbana-Champaign); Scott Wisdom (Google)*; Tal Remez (Google); John Hershey (Google)	N/A	N/A
Bridging the Domain Gap towards Generalization in Automatic Colorization	Hyejin Lee (Kookmin University); Daehee Kim (Naver Corp.); Daeun Lee (Korea university); Jinkyu Kim (Korea University); Jaekoo Lee (Kookmin University)*	N/A	N/A
Learning with Free Object Segments for Long-Tailed Instance Segmentation	Cheng Zhang (Carnegie Mellon University)*; Tai-Yu Pan (The Ohio State University); tianle chen (The Ohio State University); Jike Zhong (The Ohio State University); Wenjin Fu (The Ohio State University); Wei-Lun Chao (The Ohio State University)	N/A	N/A
Rethinking Closed-loop Training for Autonomous Driving	Chris Zhang (Waabi / University of Toronto)*; Runsheng Guo (University of Waterloo); Wenyuan Zeng (Waabi, University of Toronto); Yuwen Xiong (University of Toronto); Binbin Dai (Waabi); Rui Hu (Waabi); Mengye Ren (NYU / Google); Raquel Urtasun (Uber ATG)	N/A	N/A
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction	YuXuan Liu (Covariant.ai, UC Berkeley)*; Nikhil Mishra (Covariant.ai, UC Berkeley); Maximilian Sieb (Covariant.ai); Fred Shentu (UC Berkeley); Pieter Abbeel (UC Berkeley); Peter Chen (COVARIANT.AI)	N/A	N/A
Learning Regional Purity for Instance Segmentation on 3D Point Clouds	Shichao Dong (Nanyang Technological University)*; Guosheng Lin (Nanyang Technological University); Tzu-Yi HUNG (Delta Research Center)	N/A	N/A
Learning from Unlabeled 3D Environments for Vision-and-Language Navigation	Shizhe Chen (INRIA)*; Pierre-Louis Guhur (Inria); Makarand Tapaswi (Wadhwani AI, IIIT Hyderbad); Cordelia Schmid (Inria/Google); Ivan Laptev (INRIA Paris)	N/A	N/A
A Dataset Generation Framework for Evaluating Megapixel Image Classifiers & their Explanations	Gautam B Machiraju (Stanford University)*; Sylvia Plevritis (Stanford University); Parag Mallick (Stanford University)	N/A	N/A
Sports Video Analysis on Large-Scale Data	Dekun Wu (University of Pittsburgh)*; He Zhao (York University); Xingce Bao (EPFL); Rick Wildes (York University)	N/A	N/A
Audio-Visual Segmentation	Jinxing Zhou (Hefei University of Technology); Jianyuan Wang (Chinese University of Hong Kong); Jiayi Zhang (BeiHang University); Weixuan Sun (Australian National University); Jing Zhang (Australian National University); Stan Birchfield (NVIDIA); Dan Guo (Hefei University of Technology); Lingpeng Kong (The University of Hong Kong); Meng Wang (Hefei University of Technology); Yiran Zhong (Australian National University)*	N/A	N/A
SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty	Gwangtak Bae (Seoul National University)*; Byungjun Kim (Seoul National University); Seongyong Ahn (Agency for Defense Development); jihong Min (Agency for Defense Development); Inwook Shim (Inha University)	N/A	N/A
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network	Juseung Yun (KAIST)*; Janghyeon Lee (LG AI Research); Hyounguk Shon (KAIST); Eojindl Yi (KAIST); Seung Hwan Kim (LG AI Research); Junmo Kim (KAIST)	N/A	N/A
IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition	Yunsheng Pang (University of Melbourne)*; Qiuhong Ke (Monash University); Hossein Rahmani (Lancaster University); James Bailey (THE UNIVERSITY OF MELBOURNE); Jun Liu (Singapore University of Technology and Design)	N/A	N/A
LANA: Latency Aware Network Acceleration	Pavlo Molchanov (NVIDIA)*; James B Hall (Microsoft Research); Hongxu Yin (NVIDIA ); Nicolo Fusi (Microsoft Research); Jan Kautz (NVIDIA); Arash Vahdat (NVIDIA)	N/A	N/A
A Sketch Is Worth a Thousand Words:Image Retrieval with Text and Sketch	Patsorn Sangkloy (Georgia Institute of Technology)*; Wittawat Jitkrittum (Google Research); Diyi Yang (Georgia Institute of Technology); James Hays (Georgia Institute of Technology, USA)	N/A	N/A
HVC-Net: Unifying Homography, Visibility, and Confidence Learning for Planar Object Tracking	Haoxian Zhang (Tencent)*; Yonggen Ling (Tencent)	N/A	N/A
3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization	Rui Qiu (Xi’an Jiaotong-Liverpool University, University of Liverpool); Ming Xu (Xi’an Jiaotong-Liverpool University)*; Yuyao Yan (Xi’an Jiaotong-Liverpool University); Jeremy S Smith (University of Liverpool); Xi Yang (Xi’an Jiaotong Liverpool University )	N/A	N/A
Masked Siamese Networks for Label-Efficient Learning	Mahmoud Assran (Facebook AI)*; Mathilde Caron (Facebook Artificial Intelligence Research); Ishan Misra (Facebook AI Research); Piotr Bojanowski (Facebook); Florian Bordes (MILA); Pascal Vincent (Facebook FAIR & MILA Université de Montréal); Armand Joulin (Facebook AI Research); Mike Rabbat (Facebook FAIR); Nicolas Ballas (Facebook FAIR)	N/A	N/A
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation	Wuyang Chen (University of Texas at Austin)*; Xianzhi Du (Google Brain); Fan Yang (Google); Lucas Beyer (Google Brain); Xiaohua Zhai (Google Brain); Tsung-Yi Lin (Google Brain); Huizhong Chen (Google); Jing Li (Google Brain); Xiaodan Song (Google Brain); Zhangyang Wang (University of Texas at Austin); Denny Zhou (Google Brain)	N/A	N/A
A Cloud 3D Dataset and Application-Specific Learned Image Compression in Cloud 3D	Tianyi Liu (The University of Texas at San Antonio)*; Sen He (The University of Texas at San Antonio); Vinodh Kumaran Jayakumar (UTSA); Wei Wang (The University of Texas at San Antonio)	N/A	N/A
Cross-Domain Few-Shot Semantic Segmentation	Shuo Lei (Virginia Tech)*; Xuchao Zhang (NEC Labs America); Jianfeng He (Virginia Tech); Fanglan Chen (Virginia Tech); Bowen Du (Beihang Univeristy); Chang-Tien Lu (Virginia Tech, USA)	N/A	N/A
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments	Yu-Yun Tseng (University of Colorado Boulder)*; Alexander Bell (IVC Group); Danna Gurari (University of Colorado Boulder)	N/A	N/A
Towards Metrical Reconstruction of Human Faces	Wojciech Zielonka (Max Planck Institute for Intelligent Systems); Timo Bolkart (Max Planck Institute for Intelligent Systems); Justus Thies (Max Planck Institute for Intelligent Systems)*	N/A	N/A
DeepShadow: Neural Shape from Shadow	Asaf Karnieli (Reichman University)*; Yacov Hel-Or (The Interdisciplinary Center); Ohad Fried (IDC Herzliya)	N/A	N/A
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer	Arjun Ashok (Indian Institute of Technology, Hyderabad)*; Joseph K J (Indian Institute of Technology, Hyderabad); Vineeth N Balasubramanian (Indian Institute of Technology, Hyderabad)	N/A	N/A
Object discovery and representation networks	Olivier Henaff (DeepMind)*; Skanda Koppula (DeepMind); Evan Shelhamer (DeepMind); Daniel Zoran (DeepMind); Andrew Jaegle (DeepMind); Andrew Zisserman (Oxford University); Joao Carreira (DeepMind); Relja Arandjelović (DeepMind)	N/A	N/A
MeshUDF: Fast and Differentiable Meshing of Unsigned Distance Field Networks	Benoit Guillard (EPFL)*; Federico Stella (EPFL); Pascal Fua (EPFL, Switzerland)	N/A	N/A
Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization	Hannah M Schlueter (Imperial College London)*; Jeremy Tan (Imperial College London); Benjamin Hou (Imperial College London); Bernhard Kainz (Imperial College London, FAU Erlangen-Nürnberg)	N/A	N/A
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value	Quan Zheng (Tsinghua University); Ziwei Wang (Tsinghua University); Jie Zhou (Tsinghua University); Jiwen Lu (Tsinghua University)*	N/A	N/A
Simple Open-Vocabulary Object Detection with Vision Transformers	Matthias Minderer (Google Research)*; Alexey Gritsenko (Google Brain); Austin C Stone (Google); Maxim Neumann (Google); Dirk Weißenborn (German Research Center for Artificial Intelligence); Alexey Dosovitskiy (Inceptive); Aravindh Mahendran (Google); Anurag Arnab (Google); Mostafa Dehghani (Google Brain); Zhuoran Shen (Pony.ai); Xiao Wang (Google); Xiaohua Zhai (Google Brain); Thomas Kipf (Google Brain); Neil Houlsby (Google)	N/A	N/A
Video Restoration Framework and its Meta-adaptations to Data-poor Conditions	Prashant W Patil (Deakin University)*; Sunil Gupta (Deakin University, Australia); Santu Rana (Deakin University, Australia); Svetha Venkatesh (Deakin University)	N/A	N/A
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions	Apostolos Modas (EPFL)*; Rahul Shekhar Rade (EthonAI); Guillermo Ortiz-Jimenez (EPFL); Seyed-Mohsen Moosavi-Dezfooli (Imperial College London); Pascal Frossard (EPFL)	N/A	N/A
AlphaVC: High-Performance and Efficient Learned Video Compression	Yibo Shi (Huawei); Yunying Ge (Huawei Technologies); Jing Wang (Huawei)*; Jue Mao (Huawei technologies)	N/A	N/A
Content-Oriented Learned Image Compression	Meng Li (Huawei); Shangyin Gao (Huawei); Yihui Feng (HUAWEI Technology Co., Ltd); Yibo Shi (Huawei); Jing Wang (Huawei)*	N/A	N/A
Generating Natural Images with Direct Patch Distributions Matching	Ariel Elnekave (Hebrew University of Jerusalem)*; Yair Weiss (Hebrew University)	N/A	N/A
Latent Space Smoothing for Individually Fair Representations	Momchil Peychev (ETH Zurich)*; Anian Ruoss (DeepMind); Mislav Balunovic (ETH Zurich); Maximilian Baader (ETH Zürich); Martin Vechev (ETH Zurich)	N/A	N/A
SAU: Smooth activation function using convolution with approximate identities	Koushik Biswas (Indraprastha Institute of Information Technology, New Delhi, India)*; Sandeep Kumar (Shaheed Bhagat Singh College, University of Delhi, Delhi); Shilpak Banerjee (Indian Institute of Technology Tirupati); Ashish Kumar Pandey (Indraprastha Institute of Information Technology, New Delhi, India)	N/A	N/A
TRoVE: Transforming Road Scene Datasets into Photorealistic Virtual Environments	Shubham Dokania (IIIT Hyderabad)*; Anbumani Subramanian (IIIT-Hyderabad); Manmohan Chandraker (UC San Diego); C.V. Jawahar (IIIT-Hyderabad)	N/A	N/A
Motion Sensitive Contrastive Learning for Self-supervised Video Representation	JingCheng Ni (Behang University)*; Nan Zhou (Beihang University); Jie Qin (Nanjing University of Aeronautics and Astronautics); Qian Wu (Megvii); Junqi Liu (Megvii); Boxun Li (Megvii Inc.); Di Huang (Beihang University, China)	N/A	N/A
Scaling Adversarial Training to Large Perturbation Bounds	Sravanti Addepalli (Indian Institute of Science)*; Samyak Jain (Indian Institute of Technology (BHU), Varanasi); Gaurang Sriramanan (University of Maryland, College Park); Venkatesh Babu RADHAKRISHNAN (Indian Institute of Science)	N/A	N/A
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization	Zhe Wang (Institute for Infocomm Research, Singapore); Jie Lin (Institute for Infocomm Research (I2R), Singapore); Xue Geng (I2R, ASTAR); Mohamed M. Sabry Aly (Nanyang Technological University); Vijay R. Chandrasekhar (Institute for Infocomm Research)	N/A	N/A
Camera Auto-calibration from the Steiner Conic of the Fundamental Matrix	Yu LIU (United International College, BNU-HKBU)*; Hui Zhang (UIC)	N/A	N/A
Understanding Collapse in Non-Contrastive Siamese Representation Learning	Alexander C Li (Carnegie Mellon University)*; Alexei A Efros (UC Berkeley); Deepak Pathak (Carnegie Mellon University)	N/A	N/A
AutoTransition: Learning to Recommend Video Transition Effects	Yaojie Shen (Institute of Software, Chinese Academy of Sciences); Libo Zhang (Institute of Software Chinese Academy of Sciences); Kai Xu (ByteDance Inc); Xiaojie Jin (Bytedance Inc. USA)*	N/A	N/A
SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement	Zhaofan Qiu (JD.com); Yehao Li (JD AI Research); Yu Wang (JD AI Research); Yingwei Pan (JD AI Research); Ting Yao (JD AI Research)*; Tao Mei (AI Research of JD.com)	N/A	N/A
Text-based Temporal Localization of Novel Events	Sudipta Paul (University of California, Riverside)*; Niluthpol C Mithun (SRI International); Amit K. Roy-Chowdhury (University of California, Riverside)	N/A	N/A
Effective Presentation Attack Detection Driven by Face Related Task	Wentian Zhang (Shenzhen University); Haozhe Liu ( King Abdullah University of Science and Technology); Feng Liu (Shenzhen University )*; Raghavendra Ramachandra (NTNU, Norway); Christoph Busch (Norwegian University of Science and Technology)	N/A	N/A
LWGNet – Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval	Atreyee Saha (Indian Institute of Technology Madras)*; Salman Siddique Khan (IIT Madras); Sagar Sehrawat (IIT Madras); Sanjana S Prabhu (Indian Institute of Technology Madras); Shanti Bhattacharya (IIT Madras); Kaushik Mitra (IIT Madras)	N/A	N/A
Federated Self-supervised Learning for Video Understanding	Yasar Rehman (TCL Corporate Research(Hong Kong) Co. Ltd); Yan Gao (University of Cambridge)*; Jiajun Shen (TCL Research); Pedro Gusmao (University of Cambridge); Nicholas Lane (University of Cambridge and Samsung AI)	N/A	N/A
Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval	Zhaopeng Dou (Tsinghua University)*; Zhongdao Wang (Tsinghua University); Weihua Chen (alibaba group); Ya-Li Li (Tsinghua University); Shengjin Wang (Tsinghua University)	N/A	N/A
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts	Kai Wang (Brown University)*; Paul Guerrero (Adobe); Vladimir Kim (Adobe); Siddhartha Chaudhuri (Adobe Research); Minhyuk Sung (KAIST); Daniel Ritchie (Brown University)	N/A	N/A
Attention Diversification for Domain Generalization	Rang Meng (Hikvision Research Institute)*; Xianfeng Li (Hikvision Research Institute ); Weijie Chen (Zhejiang University); Shicai Yang (Hikvision Research Institute); Jie Song (Zhejiang University); Xinchao Wang (National University of Singapore); Lei Zhang (Chongqing University); Mingli Song (Zhengjiang University); Di Xie (Hikvision Research Institute); Shiliang Pu (Hikvision Research Institute)	N/A	N/A
Exploiting the local parabolic landscapes of adversarial losses to accelerate black-box adversarial attack	Hoang Tran (Oak Ridge National Laboratory); Dan Lu (Oak Ridge National Laboratory); Guannan Zhang (Oak Ridge National Laboratory)*	N/A	N/A
Towards Efficient and Effective Self-Supervised Learning of Visual Representations	Sravanti Addepalli (Indian Institute of Science)*; Kaushal Bhogale (Indian Institute of Technology, Madras); Priyam Dey (Indian Institute of Science); Venkatesh Babu RADHAKRISHNAN (Indian Institute of Science)	N/A	N/A
TransVLAD: Focusing on Locally Aggregated Descriptors for Few-Shot Learning	Haoquan Li (Southern University of Science and Technology)*; Laoming Zhang (Southern University of Science and Technology); Daoan Zhang (Southern University of Science and Technology); Lang Fu (Southern University of Science and Technology); Peng Yang (Southern University of Science and Technology); Jianguo Zhang (Southern University of Science and Technology)	N/A	N/A
Rotation Regularization Without Rotation	Takumi Kobayashi (National Institute of Advanced Industrial Science and Technology)*	N/A	N/A
Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration	Christian Tomani (TUM)*; Daniel Cremers (TU Munich); Florian Buettner (German Cancer Research Center and Frankfurt University)	N/A	N/A
FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations	Cemre Efe Karakas (Bogazici University); Alara Dirik (Bogazici University); Eylül Yalçınkaya (Bogazici University); Pinar Yanardag (Bogazici University)*	N/A	N/A
Dynamic Temporal Filtering in Video Models	Fuchen Long (JD.com); Zhaofan Qiu (JD.com); Yingwei Pan (JD AI Research)*; Ting Yao (JD AI Research); Chong-Wah Ngo (Singapore Management University); Tao Mei (AI Research of JD.com)	N/A	N/A
DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation	linzhi huang (Beijing University of Posts and Telecommunications)*; Jiahao Liang (Beijing University of Posts and Telecommunications); Weihong Deng (Beijing University of Posts and Telecommunications)	N/A	N/A
Super-resolution 3D Human Shape from a Single Low-Resolution Image	Marco Pesavento (University of Surrey)*; Marco Volino (University of Surrey); Adrian Hilton (University of Surrey)	N/A	N/A
Trading Positional Complexity vs Deepness in Coordinate Networks	Jianqiao Zheng (University of Adelaide)*; Sameera Ramasinghe (University of Adelaide); Xueqian Li (Carnegie Mellon University); Simon Lucey (University of Adelaide)	N/A	N/A
ESS: Learning Event-based Semantic Segmentation from Still Images	Zhaoning Sun (ETH Zürich); Nico Messikommer (University of Zurich & ETH Zurich)*; Daniel Gehrig (University of Zurich & ETH Zurich); Davide Scaramuzza (University of Zurich & ETH Zurich, Switzerland)	N/A	N/A
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search	Ahmet Yüzügüler (EPFL)*; Nikolaos Dimitriadis (EPFL); Pascal Frossard (EPFL)	N/A	N/A
MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud	Michaël Ramamonjisoa (Ecole des Ponts)*; Sinisa Stekovic (Graz University of Technology); Vincent Lepetit (Ecole des Ponts ParisTech)	N/A	N/A
Trapped in texture bias? A large scale comparison of deep instance segmentation	Johannes Theodoridis (Hochschule der Medien Stuttgart)*; Jessica Hofmann (Hochschule der Medien); Johannes Maucher (Media University Stuttgart); Andreas G Schilling (University of Tübingen)	N/A	N/A
MVDG: A Unified Multi-view Framework for Domain Generalization	Jian Zhang (Nanjing University)*; Lei Qi (Southeast University); Yinghuan Shi (Nanjing University); Yang Gao (Nanjing University)	N/A	N/A
MINER: Multiscale Implicit Neural Representation	Vishwanath Saragadam (Rice University)*; Jasper T Tan (Rice University); Guha Balakrishnan (Rice University); Richard Baraniuk (Rice University); Ashok Veeraraghavan (Rice University)	N/A	N/A
PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization	Zhihang Yuan (Peking University)*; Chenhao Xue (Peking University); Yiqi Chen (Peking University); Qiang Wu (HOUMO.AI); Guangyu Sun (Peking University)	N/A	N/A
Context-Consistent Semantic Image Editing with Style-Preserved Modulation	Wuyang Luo (School of Computer Science, Fudan University); Su Yang (School of Computer Science, Fudan University)*; Hong Wang (School of Computer Science, Fudan University); Bo Long (School of Computer Science, Fudan University ); Weishan Zhang (Department of Software Engineering, China University of Petroleum)	N/A	N/A
Distilling the Undistillable: Learning from a Nasty Teacher	Surgan Jandial (MDSR Labs, Adobe)*; Yash Khasbage (Indian Institute of Technology, Hyderabad); Arghya Pal (Harvard University); Vineeth N Balasubramanian (Indian Institute of Technology, Hyderabad); Balaji Krishnamurthy ()	N/A	N/A
Grounding Visual Representations with Texts for Domain Generalization	Seonwoo Min (LG AI Research)*; Nokyung Park (Korea University); Siwon Kim (Seoul National University); Seunghyun Park (Clova AI Research, NAVER Corp.); Jinkyu Kim (Korea University)	N/A	N/A
Towards Accurate Open-Set Recognition via Background-Class Regularization	Wonwoo Cho (Korea Advanced Institute of Science and Technology)*; Jaegul Choo (Korea Advanced Institute of Science and Technology)	N/A	N/A
In Defense of Image Pre-Training for Spatiotemporal Recognition	Xianhang Li (University of California, Santa Cruz)*; Huiyu Wang (JHU); Chen Wei (Johns Hopkins University); Jieru Mei (Johns Hopkins University); Alan Yuille (Johns Hopkins University); Yuyin Zhou (UC Santa Cruz); Cihang Xie (University of California, Santa Cruz)	N/A	N/A
SocialVAE: Human Trajectory Prediction using Timewise Latents	Pei Xu (Clemson University)*; Jean-Bernard Hayet (CIMAT); Ioannis Karamouzas (Clemson University)	N/A	N/A
BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking	Dorian F Henning (Imperial College London)*; Tristan Laidlow (Imperial College London); Stefan Leutenegger (TU Munich)	N/A	N/A
Eliminating Gradient Conflict in Reference-based Line-Art Colorization	zekun li (University of Electronic Science and Technology of China)*; Zhengyang Geng (Peking University); Zhao Kang (University of Electronic Science and Technology of China); Wenyu Chen (University of Electronic Science and Technology of China); Yibo Yang (Peking University)	N/A	N/A
Transfer without Forgetting	Matteo Boschini (University of Modena and Reggio Emilia)*; Lorenzo Bonicelli (Università of Modena and Reggio Emilia); Angelo Porrello (University of Modena and Reggio Emilia); Giovanni Bellitto (University of Catania); Matteo Pennisi (University of Catania); Simone Palazzo (University of Catania); Concetto Spampinato (University of Catania); SIMONE CALDERARA (University of Modena and Reggio Emilia, Italy)	N/A	N/A
DSR — A dual subspace re-projection network for surface anomaly detection	Vitjan Zavrtanik (University of Ljubljana)*; Matej Kristan (University of Ljubljana); Danijel Skocaj (University of Ljubljana)	N/A	N/A
Multi-Exit Semantic Segmentation Networks	Alexandros Kouris (Imperial College London and Samsung AI)*; Stylianos Venieris (Samsung AI); Stefanos Laskaridis (Samsung AI); Nicholas Lane (University of Cambridge and Samsung AI)	N/A	N/A
Almost-Orthogonal Layers for Efficient General-Purpose Lipschitz Networks	Bernd Prach (IST Austria)*; Christoph H Lampert (IST Austria)	N/A	N/A
Bridging the visual semantic gap in VLN via semantically richer instructions	Joaquín Ignacio Ossandón (Universidad Catolica de Chile)*; Benjamín Earle (Universidad Católica de Chile); Alvaro Soto (Universidad Catolica de Chile)	N/A	N/A
Kernel Relative-prototype Spectral Filtering for Few-shot Learning	Tao Zhang (Chengdu Techman Software Co., Ltd.)*; Wu Huang (Sichuan University)	N/A	N/A
StoryDALL-E: Adapting Pretrained Text-to-image Transformers for Story Continuation	Adyasha Maharana (UNC Chapel Hill)*; Darryl Hannan (University of North Carolina at Chapel Hill); Mohit Bansal (University of North Carolina at Chapel Hill)	N/A	N/A
Unsupervised Learning of Efficient Geometry-Aware Neural Articulated Representations	Atsuhiro Noguchi (The University of Tokyo)*; Xiao Sun (Microsoft Research Asia); Stephen Lin (Microsoft Research); Tatsuya Harada (The University of Tokyo / RIKEN)	N/A	N/A
PANDORA: Polarization-Aided Neural Decomposition Of Radiance	Akshat Dave (Rice University)*; Yongyi Zhao (Rice University); Ashok Veeraraghavan (Rice University)	N/A	N/A
OCR-free Document Understanding Transformer	Geewook Kim (NAVER Corporation)*; Teakgyu Hong (Upstage AI); Moonbin Yim (Clova AI Research, NAVER Corp.); Jeongyeon Nam (Naver); Jinyoung Park (TmaxAI); Jinyeong Yim (Google); Wonseok Hwang (LBox); Sangdoo Yun (NAVER AI LAB); Dongyoon Han (NAVER AI Lab); Seunghyun Park (Clova AI Research, NAVER Corp.)	N/A	N/A
VQGAN-CLIP: Open Domain Image Generation and Manipulation Using Natural Language	Katherine B Crowson (EleutherAI); Stella R Biderman (Booz Allen Hamilton)*; daniel kornis (Eleuther.ai); Dashiell Stander (Eleuther AI); Eric Hallahan (EleutherAI); Louis J Castricato (Georgia Tech); Edward Raff (Booz Allen Hamilton)	N/A	N/A
Learning to use unlabeled data in data augmentation for 3D detection	Zhaoqi Leng (Waymo)*; Shuyang Cheng (Waymo LLC); Ben Caine (Google); Weiyue Wang (Waymo); Xiao Zhang (Cruise); Jonathon Shlens (Google); Mingxing Tan (Waymo); Dragomir Anguelov (Waymo)	N/A	N/A
Differentiable Zooming for Multiple Instance Learning on Whole-Slide Images	Kevin Thandiackal (ETH Zurich / IBM Research)*; Boqi Chen (ETH Zurich ); Pushpak Pati (IBM Research Zurich); Guillaume Jaume (Harvard); Drew Williamson (Pathology, Brigham and Women’s Hospital, Harvard Medical School); Maria Gabrani (IBM Research); Orcun Goksel (ETH Zurich)	N/A	N/A
Towards Learning Neural Representations from Shadows	Kushagra Tiwary (MIT)*; Tzofi M Klinghoffer (Massachusetts Institute of Technology); Ramesh Raskar (Massachusetts Institute of Technology)	N/A	N/A
Augmenting Deep Classifiers with Polynomial Neural Networks	Grigorios Chrysos (EPFL)*; Markos Georgopoulos (Imperial College London); Jiankang Deng (Imperial College London); Jean Kossaifi (NVIDIA); Yannis Panagakis (University of Athens); Animashree Anandkumar (Caltech)	N/A	N/A
AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation	Farshid Varno (Dalhousie/Imagia)*; Marzie Saghayi (Dalhousie University); Laya Rafiee Sevyeri (Concordia); Sharut Gupta (MILA, Imagia, Indian Institute of Technology Delhi (IIT Delhi)); Stan Matwin (Dalhouise University); Mohammad Havaei (Imagia)	N/A	N/A
A Simple Approach and Benchmark for 21,000-Category Object Detection	Yutong Lin (Xi’an Jiaotong University); Chen Li (Xi’an Jiaotong University); Yue Cao (Microsoft Research); Zheng Zhang (MSRA); Jianfeng Wang (Microsoft); Lijuan Wang (Microsoft); Zicheng Liu (Microsoft); Han Hu (Microsoft Research Asia)*	N/A	N/A
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach	Jiseok Youn (Seoul National University)*; Jaehun Song (Seoul National University); Hyung-Sin Kim (Seoul National University); Saewoong Bahk (Seoul National University)	N/A	N/A
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection	Seong Min Kye (KAIST); Kwanghee Choi (Sogang University); Joonyoung Yi (Hyperconnect); Buru Chang (Hyperconnect)*	N/A	N/A
Online Task-free Continual Learning with Dynamic Sparse Distributed Memory	Julien Pourcel (ENSEA)*; Ngoc-Son Vu (ETIS/Université Paris Seine, Université Cergy-Pontoise, ENSEA, CNRS/ 95000-Cergy); Robert M FRENCH (CNRS)	N/A	N/A

ECCV 2024

Title	Author	PDF_Link	Code_URL
4D Contrastive Superflows are Dense 3D Representation Learners	Unknown	PDF	N/A
Octopus: Embodied Vision-Language Programmer from Environmental Feedback	Unknown	PDF	N/A
ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation	Unknown	PDF	N/A
Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance	Unknown	PDF	N/A
Modeling and Driving Human Body Soundfields through Acoustic Primitives	Unknown	PDF	N/A
Motion Mamba: Efficient and Long Sequence Motion Generation	Unknown	PDF	N/A
Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation	Unknown	PDF	N/A
SAGS: Structure-Aware 3D Gaussian Splatting	Unknown	PDF	N/A
MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes	Unknown	PDF	N/A
Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing	Unknown	PDF	N/A
3DGazeNet: Generalizing Gaze Estimation with Weak Supervision from Synthetic Views	Unknown	PDF	N/A
Generating Physically Realistic and Directable Human Motions from Multi-Modal Inputs	Unknown	PDF	N/A
Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models	Unknown	PDF	N/A
Disentangling Masked Autoencoders for Unsupervised Domain Generalization	Unknown	PDF	N/A
SemGrasp: Semantic Grasp Generation via Language Aligned Discretization	Unknown	PDF	N/A
BAM-DETR: Boundary-Aligned Moment Detection Transformer for Temporal Sentence Grounding in Videos	Unknown	PDF	N/A
Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition	Unknown	PDF	N/A
MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description	Unknown	PDF	N/A
BRAVE: Broadening the visual encoding of vision-language models	Unknown	PDF	N/A
Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation	Unknown	PDF	N/A
SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction	Unknown	PDF	N/A
CPT-VR: Improving Surface Rendering via Closest Point Transform with View-Reflection Appearance	Unknown	PDF	N/A
OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations	Unknown	PDF	N/A
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation	Unknown	PDF	N/A
High-Resolution and Few-shot View Synthesis from Asymmetric Dual-lens Inputs	Unknown	PDF	N/A
AFreeCA: Annotation-Free Counting for All	Unknown	PDF	N/A
Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap	Unknown	PDF	N/A
LN3Diff: Scalable Latent Neural Fields Diffusion for Speedy 3D Generation	Unknown	PDF	N/A
Motion and Structure from Event-based Normal Flow	Unknown	PDF	N/A
Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion	Unknown	PDF	N/A
DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching	Unknown	PDF	N/A
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark Dataset	Unknown	PDF	N/A
HIMO: A New Benchmark for Full-Body Human Interacting with Multiple Objects	Unknown	PDF	N/A
You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-Person Multi-Task Human-Centric Perception	Unknown	PDF	N/A
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery	Unknown	PDF	N/A
Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation	Unknown	PDF	N/A
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition	Unknown	PDF	N/A
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer	Unknown	PDF	N/A
Merlin: Empowering Multimodal LLMs with Foresight Minds	Unknown	PDF	N/A
E.T. the Exceptional Trajectory: Text-to-camera-trajectory generation with character awareness	Unknown	PDF	N/A
Nuvo: Neural UV Mapping for Unruly 3D Representations	Unknown	PDF	N/A
Towards Neuro-Symbolic Video Understanding	Unknown	PDF	N/A
SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs	Unknown	PDF	N/A
Improving 2D Feature Representations by 3D-Aware Fine-Tuning	Unknown	PDF	N/A
Diffusion Bridges for 3D Point Cloud Denoising	Unknown	PDF	N/A
AttnZero: Efficient Attention Discovery for Vision Transformers	Unknown	PDF	N/A
Auto-GAS: Automated Proxy Discovery for Training-free Generative Architecture Search	Unknown	PDF	N/A
Auto-DAS: Automated Proxy Discovery for Training-free Distillation-aware Architecture Search	Unknown	PDF	N/A
Spectral Subsurface Scattering for Material Classification	Unknown	PDF	N/A
HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting	Unknown	PDF	N/A
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation	Unknown	PDF	N/A
nuCraft: Crafting High Resolution 3D Semantic Occupancy for Unified 3D Scene Understanding	Unknown	PDF	N/A
HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance	Unknown	PDF	N/A
CarFormer: Self-Driving with Learned Object-Centric Representations	Unknown	PDF	N/A
Text-Guided Video Masked Autoencoder	Unknown	PDF	N/A
PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion	Unknown	PDF	N/A
BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting	Unknown	PDF	N/A
Textual-Visual Logic Challenge: Understanding and Reasoning in Text-to-Image Generation	Unknown	PDF	N/A
ShareGPT4V: Improving Large Multi-Modal Models with Better Captions	Unknown	PDF	N/A
EvSign: Sign Language Recognition and Translation with Streaming Events	Unknown	PDF	N/A
MetaAug: Meta-Data Augmentation for Post-Training Quantization	Unknown	PDF	N/A
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots	Unknown	PDF	N/A
Towards Latent Masked Image Modeling for Self-Supervised Visual Representation Learning	Unknown	PDF	N/A
UNIKD: UNcertainty-Filtered Incremental Knowledge Distillation for Neural Implicit Representation	Unknown	PDF	N/A
PartSTAD: 2D-to-3D Part Segmentation Task Adaptation	Unknown	PDF	N/A
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation	Unknown	PDF	N/A
Cross-Input Certified Training for Universal Perturbations	Unknown	PDF	N/A
Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation Framework	Unknown	PDF	N/A
LiDAR-Event Stereo Fusion with Hallucinations	Unknown	PDF	N/A
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs	Unknown	PDF	N/A
Multi-Granularity Sparse Relationship Matrix Prediction Network for End-to-End Scene Graph Generation	Unknown	PDF	N/A
Revisiting Supervision for Continual Representation Learning	Unknown	PDF	N/A
Dolphins: Multimodal Language Model for Driving	Unknown	PDF	N/A
MMBENCH: Is Your Multi-Modal Model an All-around Player?	Unknown	PDF	N/A
HUMOS: Human Motion Model Conditioned on Body Shape	Unknown	PDF	N/A
ZipLoRA: Any Subject in Any Style by Effectively Merging LoRAs	Unknown	PDF	N/A
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds	Unknown	PDF	N/A
Unsupervised Exposure Correction	Unknown	PDF	N/A
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model	Unknown	PDF	N/A
External Knowledge Enhanced 3D Scene Generation from Sketch	Unknown	PDF	N/A
GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation	Unknown	PDF	N/A
DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splatting	Unknown	PDF	N/A
Frequency-Spatial Entanglement Learning for Camouflaged Object Detection	Unknown	PDF	N/A
3D Congealing: 3D-Aware Image Alignment in the Wild	Unknown	PDF	N/A
Adversarial Robustification via Text-to-Image Diffusion Models	Unknown	PDF	N/A
CoMo: Controllable Motion Generation through Language Guided Pose Code Editing	Unknown	PDF	N/A
MVDiffHD: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction	Unknown	PDF	N/A
Semi-Supervised Teacher-Reference-Student Architecture for Action Quality Assessment	Unknown	PDF	N/A
VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions	Unknown	PDF	N/A
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs	Unknown	PDF	N/A
Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective	Unknown	PDF	N/A
Benchmarking the Robustness of Cross-view Geo-localization Models	Unknown	PDF	N/A
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models	Unknown	PDF	N/A
Model Stock: All we need is just a few fine-tuned models	Unknown	PDF	N/A
Rejection Sampling IMLE: Designing Priors for Better Few-Shot Image Synthesis	Unknown	PDF	N/A
Asynchronous Bioplausible Neuron for Spiking Neural Networks for Event-Based Vision	Unknown	PDF	N/A
Formula-Supervised Visual-Geometric Pre-training	Unknown	PDF	N/A
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment	Unknown	PDF	N/A
DG-PIC: Domain Generalized Point-In-Context Learning for Point Cloud Understanding	Unknown	PDF	N/A
Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection	Unknown	PDF	N/A
SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow	Unknown	PDF	N/A
TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-Spoofing	Unknown	PDF	N/A
Robust Fitting on a Gate Quantum Computer	Unknown	PDF	N/A
Defect Spectrum: A Granular Look of Large-scale Defect Datasets with Rich Semantics	Unknown	PDF	N/A
Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement	Unknown	PDF	N/A
Large-scale Reinforcement Learning for Diffusion Models	Unknown	PDF	N/A
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation	Unknown	PDF	N/A
3D Single-object Tracking in Point Clouds with High Temporal Variation	Unknown	PDF	N/A
Self-supervised Shape Completion via Involution and Implicit Correspondences	Unknown	PDF	N/A
Stepwise Multi-grained Boundary Detector for Point-supervised Temporal Action Localization	Unknown	PDF	N/A
Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems	Unknown	PDF	N/A
Gaussian Splatting on the Move: Blur and Rolling Shutter Compensation for Natural Camera Motion	Unknown	PDF	N/A
iHuman: Instant Animatable Digital Humans From Monocular Videos	Unknown	PDF	N/A
LoA-Trans: Enhancing Visual Grounding by Location-Aware Transformers	Unknown	PDF	N/A
HAC: Hash-grid Assisted Context for 3D Gaussian Splatting Compression	Unknown	PDF	N/A
Energy-induced Explicit quantification for Multi-modality MRI fusion	Unknown	PDF	N/A
Characterizing Model Robustness via Natural Input Gradients	Unknown	PDF	N/A
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement	Unknown	PDF	N/A
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation	Unknown	PDF	N/A
FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis	Unknown	PDF	N/A
SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments	Unknown	PDF	N/A
Resolving Scale Ambiguity in Multi-view 3D Reconstruction using Dual-Pixel Sensors	Unknown	PDF	N/A
FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection	Unknown	PDF	N/A
BugNIST - a Large Volumetric Dataset for Detection under Domain Shift	Unknown	PDF	N/A
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training	Unknown	PDF	N/A
ScanReason: Empowering 3D Visual Grounding with Reasoning Capabilities	Unknown	PDF	N/A
See and Think: Embodied Agent in Virtual Environment	Unknown	PDF	N/A
Scalar Function Topology Divergence: Comparing Topology of 3D Objects	Unknown	PDF	N/A
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding	Unknown	PDF	N/A
GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths	Unknown	PDF	N/A
Towards Robust Full Low-bit Quantization of Super Resolution Networks	Unknown	PDF	N/A
When Do We Not Need Larger Vision Models?	Unknown	PDF	N/A
Sync from the Sea: Retrieving Alignable Videos from Large-Scale Datasets	Unknown	PDF	N/A
GVGEN: Text-to-3D Generation with Volumetric Representation	Unknown	PDF	N/A
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields	Unknown	PDF	N/A
UNIC: Universal Classification Models via Multi-teacher Distillation	Unknown	PDF	N/A
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References	Unknown	PDF	N/A
ReLoo: Reconstructing Humans Dressed in Loose Garments from Monocular Video in the Wild	Unknown	PDF	N/A
LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning	Unknown	PDF	N/A
PointNeRF++: A multi-scale, point-based Neural Radiance Field	Unknown	PDF	N/A
Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees	Unknown	PDF	N/A
Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation	Unknown	PDF	N/A
Differentiable Convex Polyhedra Optimization from Multi-view Images	Unknown	PDF	N/A
WHAC: World-grounded Humans and Cameras	Unknown	PDF	N/A
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding	Unknown	PDF	N/A
V-IRL: Grounding Virtual Intelligence in Real Life	Unknown	PDF	N/A
SENC: Handling Self-collision in Neural Cloth Simulation	Unknown	PDF	N/A
TrojVLM: Backdoor Attack Against Vision Language Models	Unknown	PDF	N/A
Dataset Growth	Unknown	PDF	N/A
m&m’s: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks	Unknown	PDF	N/A
Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos	Unknown	PDF	N/A
ReMamber: Referring Image Segmentation with Mamba Twister	Unknown	PDF	N/A
Plain-Det: A Plain Multi-Dataset Object Detector	Unknown	PDF	N/A
Pix2Gif: Motion-Guided Diffusion for GIF Generation	Unknown	PDF	N/A
OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models	Unknown	PDF	N/A
Integrating Markov Blanket Discovery into Causal Representation Learning for Domain Generalization	Unknown	PDF	N/A
Plug-and-Play Learned Proximal Trajectory for 3D Sparse-View X-Ray Computed Tomography	Unknown	PDF	N/A
LEIA: Latent View-invariant Embeddings for Implicit 3D Articulation	Unknown	PDF	N/A
Beta-Tuned Timestep Diffusion Model	Unknown	PDF	N/A
Bayesian Evidential Deep Learning for Online Action Detection	Unknown	PDF	N/A
Local All-Pair Correspondence for Point Tracking	Unknown	PDF	N/A
Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations	Unknown	PDF	N/A
SEED: A Simple and Effective 3D DETR in Point Clouds	Unknown	PDF	N/A
Intrinsic Single-Image HDR Reconstruction	Unknown	PDF	N/A
DCDM: Diffusion-Conditioned-Diffusion Model for Scene Text Image Super-Resolution	Unknown	PDF	N/A
Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification	Unknown	PDF	N/A
LaRa: Efficient Large-Baseline Radiance Fields	Unknown	PDF	N/A
XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolution	Unknown	PDF	N/A
MobileNetV4: Universal Models for the Mobile Ecosystem	Unknown	PDF	N/A
Efficient Snapshot Spectral Imaging: Calibration-Free Parallel Structure with Aperture Diffraction Fusion	Unknown	PDF	N/A
AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering	Unknown	PDF	N/A
DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation	Unknown	PDF	N/A
MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection	Unknown	PDF	N/A
Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather	Unknown	PDF	N/A
DiffiT: Diffusion Vision Transformers for Image Generation	Unknown	PDF	N/A
Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation	Unknown	PDF	N/A
DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors	Unknown	PDF	N/A
Prioritized Semantic Learning for Zero-shot Instance Navigation	Unknown	PDF	N/A
Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats	Unknown	PDF	N/A
Can OOD Object Detectors Learn from Foundation Models?	Unknown	PDF	N/A
2S-ODIS: Two-Stage Omni-Directional Image Synthesis by Geometric Distortion Correction	Unknown	PDF	N/A
RadEdit: stress-testing biomedical vision models via diffusion image editing	Unknown	PDF	N/A
Towards Real-world Event-guided Low-light Video Enhancement and Deblurring	Unknown	PDF	N/A
Referring Atomic Video Action Recognition	Unknown	PDF	N/A
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation	Unknown	PDF	N/A
TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks	Unknown	PDF	N/A
SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding	Unknown	PDF	N/A
Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection	Unknown	PDF	N/A
OccWorld: Learning a 3D Occupancy World Model for Autonomous Driving	Unknown	PDF	N/A
MyVLM: Personalizing VLMs for User-Specific Queries	Unknown	PDF	N/A
SignAvatars: A Large-scale 3D Sign Language Holistic Motion Dataset and Benchmark	Unknown	PDF	N/A
AMEGO: Active Memory from long EGOcentric videos	Unknown	PDF	N/A
Camera-LiDAR Cross-modality Gait Recognition	Unknown	PDF	N/A
Diffusion-Generated Pseudo-Observations for High-Quality Sparse-View Reconstruction	Unknown	PDF	N/A
Adaptive Correspondence Scoring for Unsupervised Medical Image Registration	Unknown	PDF	N/A
VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models	Unknown	PDF	N/A
An Adaptive Screen-Space Meshing Approach for Normal Integration	Unknown	PDF	N/A
Collaborative Control for Geometry-Conditioned PBR Image Generation	Unknown	PDF	N/A
Open-set Domain Adaptation via Joint Error based Multi-class Positive and Unlabeled Learning	Unknown	PDF	N/A
Quantization-Friendly Winograd Transformations for Convolutional Neural Networks	Unknown	PDF	N/A
Look Around and Learn: Self-Training Object Detection by Exploration	Unknown	PDF	N/A
Co-synthesis of Histopathology Nuclei Image-Label Pairs using a Context-Conditioned Joint Diffusion Model	Unknown	PDF	N/A
Regularizing Dynamic Radiance Fields with Kinematic Fields	Unknown	PDF	N/A
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images	Unknown	PDF	N/A
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data	Unknown	PDF	N/A
Risk-Aware Self-Consistent Imitation Learning for Trajectory Planning in Autonomous Driving	Unknown	PDF	N/A
Smoothness, Synthesis, and Sampling: Re-thinking Unsupervised Multi-View Stereo with DIV Loss	Unknown	PDF	N/A
DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators	Unknown	PDF	N/A
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks	Unknown	PDF	N/A
Large Motion Model for Unified Multi-Modal Motion Generation	Unknown	PDF	N/A
Memory-Efficient Fine-Tuning for Quantized Diffusion Model	Unknown	PDF	N/A
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians	Unknown	PDF	N/A
Label-anticipated Event Disentanglement for Audio-Visual Video Parsing	Unknown	PDF	N/A
Unified Local-Cloud Decision-Making via Reinforcement Learning	Unknown	PDF	N/A
Think before Placement: Common Sense Enhanced Transformer for Object Placement	Unknown	PDF	N/A
The Hard Positive Truth about Vision-Language Compositionality	Unknown	PDF	N/A
Eta Inversion: Designing an Optimal Eta Function for Diffusion-based Real Image Editing	Unknown	PDF	N/A
GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing	Unknown	PDF	N/A
Concise Plane Arrangements for Low-Poly Surface and Volume Modelling	Unknown	PDF	N/A
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning	Unknown	PDF	N/A
3iGS: Factorised Tensorial Illumination for 3D Gaussian Splatting	Unknown	PDF	N/A
Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation	Unknown	PDF	N/A
AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion	Unknown	PDF	N/A
Wavelength-Embedding-guided Filter-Array Transformer for Spectral Demosaicing	Unknown	PDF	N/A
GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views	Unknown	PDF	N/A
Efficient Bias Mitigation Without Privileged Information	Unknown	PDF	N/A
MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization	Unknown	PDF	N/A
Towards Open-Ended Visual Recognition with Large Language Models	Unknown	PDF	N/A
Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation	Unknown	PDF	N/A
MotionLCM: Real-time Controllable Motion Generation via Latent Consistency Model	Unknown	PDF	N/A
IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception	Unknown	PDF	N/A
On the Utility of 3D Hand Poses for Action Recognition	Unknown	PDF	N/A
RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models	Unknown	PDF	N/A
IRGen: Generative Modeling for Image Retrieval	Unknown	PDF	N/A
A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting	Unknown	PDF	N/A
LayeredFlow: A Real-World Benchmark for Non-Lambertian Multi-Layer Optical Flow	Unknown	PDF	N/A
VISA: Reasoning Video Object Segmentation via Large Language Model	Unknown	PDF	N/A
Learning Representations of Satellite Images From Metadata Supervision	Unknown	PDF	N/A
Adaptive Parametric Activation	Unknown	PDF	N/A
Scaling Backwards: Minimal Synthetic Pre-training?	Unknown	PDF	N/A
Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction	Unknown	PDF	N/A
Towards Multi-modal Transformers in Federated Learning	Unknown	PDF	N/A
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics	Unknown	PDF	N/A
InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser	Unknown	PDF	N/A
ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders	Unknown	PDF	N/A
DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion	Unknown	PDF	N/A
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning	Unknown	PDF	N/A
FisherRF: Active View Selection and Mapping with Radiance Fields using Fisher Information	Unknown	PDF	N/A
General and Task-Oriented Video Segmentation	Unknown	PDF	N/A
Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation	Unknown	PDF	N/A
Benchmarking Object Detectors with COCO: A New Path Forward	Unknown	PDF	N/A
Diffusion Model is a Good Pose Estimator from 3D RF-Vision	Unknown	PDF	N/A
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues	Unknown	PDF	N/A
Grounding Language Models for Visual Entity Recognition	Unknown	PDF	N/A
Soft Shadow Diffusion (SSD): Physics-inspired Learning for 3D Computational Periscopy	Unknown	PDF	N/A
Learning 3D-aware GANs from Unposed Images with Template Feature Field	Unknown	PDF	N/A
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning	Unknown	PDF	N/A
DεpS: Delayed ε-Shrinking for Faster Once-For-All Training	Unknown	PDF	N/A
Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos	Unknown	PDF	N/A
Human Hair Reconstruction with Strand-Aligned 3D Gaussians	Unknown	PDF	N/A
SA-DVAE: Improving Zero-Shot Skeleton-Based Action Recognition by Disentangled Variational Autoencoders	Unknown	PDF	N/A
Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection	Unknown	PDF	N/A
Global-to-Pixel Regression for Human Mesh Recovery	Unknown	PDF	N/A
CIC-BART-SSA: : Controllable Image Captioning with Structured Semantic Augmentation	Unknown	PDF	N/A
Rethinking Image Super Resolution from Training Data Perspectives	Unknown	PDF	N/A
MarvelOVD: Marrying Object Recognition and Vision-Language Models for Robust Open-Vocabulary Object Detection	Unknown	PDF	N/A
Interactive 3D Object Detection with Prompts	Unknown	PDF	N/A
Learning to Robustly Reconstruct Dynamic Scenes from Low-light Spike Streams	Unknown	PDF	N/A
Neural Volumetric World Models for Autonomous Driving	Unknown	PDF	N/A
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding	Unknown	PDF	N/A
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation	Unknown	PDF	N/A
ControlLLM: Augment Language Models with Tools by Searching on Graphs	Unknown	PDF	N/A
Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration	Unknown	PDF	N/A
Portrait4D-v2: Pseudo Multi-View Data Creates Better 4D Head Synthesizer	Unknown	PDF	N/A
Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation	Unknown	PDF	N/A
Uni3DL: A Unified Model for 3D Vision-Language Understanding	Unknown	PDF	N/A
G3R: Gradient Guided Generalizable Reconstruction	Unknown	PDF	N/A
Goldfish: Vision-Language Understanding of Arbitrarily Long Videos	Unknown	PDF	N/A
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning	Unknown	PDF	N/A
HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization	Unknown	PDF	N/A
Invertible Neural Warp for NeRF	Unknown	PDF	N/A
AddBiomechanics Dataset: Capturing the Physics of Human Motion at Scale	Unknown	PDF	N/A
Efficient and Versatile Robust Fine-Tuning of Zero-shot Models	Unknown	PDF	N/A
MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo	Unknown	PDF	N/A
Language-Image Pre-training with Long Captions	Unknown	PDF	N/A
SuperFedNAS: Cost-Efficient Federated Neural Architecture Search for On-Device Inference	Unknown	PDF	N/A
CoReS: Orchestrating the Dance of Reasoning and Segmentation	Unknown	PDF	N/A
MambaIR: A Simple Baseline for Image Restoration with State-Space Model	Unknown	PDF	N/A
EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models	Unknown	PDF	N/A
I Can't Believe It's Not Scene Flow!	Unknown	PDF	N/A
Compress3D: a Compressed Latent Space for 3D Generation from a Single Image	Unknown	PDF	N/A
Bi-directional Contextual Attention for 3D Dense Captioning	Unknown	PDF	N/A
Scalable Group Choreography via Variational Phase Manifold Learning	Unknown	PDF	N/A
Quality Assured: Rethinking Annotation Strategies in Imaging AI	Unknown	PDF	N/A
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels	Unknown	PDF	N/A
TPA3D: Triplane Attention for Fast Text-to-3D Generation	Unknown	PDF	N/A
Augmented Neural Fine-tuning for Efficient Backdoor Purification	Unknown	PDF	N/A
Human Pose Recognition via Occlusion-Preserving Abstract Images	Unknown	PDF	N/A
AID-AppEAL: Automatic Image Dataset and Algorithm for Content Appeal Enhancement and Assessment Labeling	Unknown	PDF	N/A
Retrieval Robust to Object Motion Blur	Unknown	PDF	N/A
Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction	Unknown	PDF	N/A
Occlusion-Aware Seamless Segmentation	Unknown	PDF	N/A
TTT-MIM: Test-Time Training with Masked Image Modeling for Denoising Distribution Shifts	Unknown	PDF	N/A
Diffusion Models for Open-Vocabulary Segmentation	Unknown	PDF	N/A
Rethinking Unsupervised Outlier Detection via Multiple Thresholding	Unknown	PDF	N/A
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection	Unknown	PDF	N/A
Stream Query Denoising for Vectorized HD-Map Construction	Unknown	PDF	N/A
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization	Unknown	PDF	N/A
Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion	Unknown	PDF	N/A
Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering	Unknown	PDF	N/A
Beat-It: Beat-Synchronized Multi-Condition 3D Dance Generation	Unknown	PDF	N/A
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks	Unknown	PDF	N/A
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation	Unknown	PDF	N/A
Pixel-GS Density Control with Pixel-aware Gradient for 3D Gaussian Splatting	Unknown	PDF	N/A
WorldPose: A World Cup Dataset for Global 3D Human Pose Estimation	Unknown	PDF	N/A
Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization	Unknown	PDF	N/A
Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance	Unknown	PDF	N/A
SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding	Unknown	PDF	N/A
Quantized Prompt for Efficient Generalization of Vision-Language Models	Unknown	PDF	N/A
Modality Translation for Object Detection Adaptation without forgetting prior knowledge	Unknown	PDF	N/A
How Video Meetings Change Your Expression	Unknown	PDF	N/A
Audio-driven Talking Face Generation with Stabilized Synchronization Loss	Unknown	PDF	N/A
Learning to Obstruct Few-Shot Image Classification over Restricted Classes	Unknown	PDF	N/A
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation	Unknown	PDF	N/A
L-DiffER: Single Image Reflection Removal with Language-based Diffusion Model	Unknown	PDF	N/A
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation	Unknown	PDF	N/A
Distilling Diffusion Models into Conditional GANs	Unknown	PDF	N/A
UMBRAE: Unified Multimodal Brain Decoding	Unknown	PDF	N/A
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting	Unknown	PDF	N/A
Model Breadcrumbs: Scaling Multi-Task Model Merging with Sparse Masks	Unknown	PDF	N/A
HYDRA: A Hyper Agent for Dynamic Compositional Visual Reasoning	Unknown	PDF	N/A
BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion	Unknown	PDF	N/A
Multiscale Graph Texture Network	Unknown	PDF	N/A
LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping	Unknown	PDF	N/A
Bottom-Up Domain Prompt Tuning for Generalized Face Anti-Spoofing	Unknown	PDF	N/A
Blind image deblurring with noise-robust kernel estimation	Unknown	PDF	N/A
Free-Viewpoint Video of Outdoor Sports Using a Drone	Unknown	PDF	N/A
RePOSE: 3D Human Pose Estimation via Spatio-Temporal Depth Relational Consistency	Unknown	PDF	N/A
Binomial Self-compensation for Motion Error in Dynamic 3D Scanning	Unknown	PDF	N/A
Distill Gold from Massive Ores: Bi-level Data Pruning towards Efficient Dataset Distillation	Unknown	PDF	N/A
Momentum Auxiliary Network for Supervised Local Learning	Unknown	PDF	N/A
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion	Unknown	PDF	N/A
Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation	Unknown	PDF	N/A
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains	Unknown	PDF	N/A
PQ-SAM: Post-training Quantization for Segment Anything Model	Unknown	PDF	N/A
COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation	Unknown	PDF	N/A
Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt Interpolation	Unknown	PDF	N/A
TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting	Unknown	PDF	N/A
Improving Zero-Shot Generalization for CLIP with Variational Adapter	Unknown	PDF	N/A
LaWa: Using Latent Space for In-Generation Image Watermarking	Unknown	PDF	N/A
Topology-Preserving Downsampling of Binary Images	Unknown	PDF	N/A
Cocktail Universal Adversarial Attack on Deep Neural Networks	Unknown	PDF	N/A
Hypernetworks for Generalizable BRDF Representation	Unknown	PDF	N/A
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders	Unknown	PDF	N/A
Classification Matters: Improving Video Action Detection with Class-Specific Attention	Unknown	PDF	N/A
Improving Medical Multi-modal Contrastive Learning with Expert Annotations	Unknown	PDF	N/A
Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization	Unknown	PDF	N/A
AccDiffusion: An Accurate Method for Higher-Resolution Image Generation	Unknown	PDF	N/A
Leveraging temporal contextualization for video action recognition	Unknown	PDF	N/A
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale	Unknown	PDF	N/A
ZigMa: A DiT-style Zigzag Mamba Diffusion Model	Unknown	PDF	N/A
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time	Unknown	PDF	N/A
Safe-Sim: Safety-Critical Closed-Loop Traffic Simulation with Diffusion-Controllable Adversaries	Unknown	PDF	N/A
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images	Unknown	PDF	N/A
Data Collection-free Masked Video Modeling	Unknown	PDF	N/A
Resilience of Entropy Model in Distributed Neural Networks	Unknown	PDF	N/A
Implicit Concept Removal of Diffusion Models	Unknown	PDF	N/A
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding	Unknown	PDF	N/A
Restoring Images in Adverse Weather Conditions via Histogram Transformer	Unknown	PDF	N/A
PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer	Unknown	PDF	N/A
NGP-RT: Fusing Multi-Level Hash Features with Lightweight Attention for Real-Time Novel View Synthesis	Unknown	PDF	N/A
G2fR: Frequency Regularization in Grid-based Feature Encoding Neural Radiance Fields	Unknown	PDF	N/A
Getting it Right: Improving Spatial Consistency in Text-to-Image Models	Unknown	PDF	N/A
Generating 3D House Wireframes with Semantics	Unknown	PDF	N/A
SegPoint: Segment Any Point Cloud via Large Language Model	Unknown	PDF	N/A
Navigation Instruction Generation with BEV Perception and Large Language Models	Unknown	PDF	N/A
The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation	Unknown	PDF	N/A
FlashSplat: 2D to 3D Gaussian Splatting Segmentation Solved Optimally	Unknown	PDF	N/A
Eliminating Feature Ambiguity for Few-Shot Segmentation	Unknown	PDF	N/A
Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation	Unknown	PDF	N/A
GENIXER: Empowering Multimodal Large Language Models as a Powerful Data Generator	Unknown	PDF	N/A
BLINK: Multimodal Large Language Models Can See but Not Perceive	Unknown	PDF	N/A
PreLAR: World Model Pre-training with Learnable Action Representation	Unknown	PDF	N/A
Multi-HMR: Multi-Person Whole-Body Human Mesh Recovery in a Single Shot	Unknown	PDF	N/A
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions	Unknown	PDF	N/A
FreestyleRet: Retrieving Images from Style-Diversified Queries	Unknown	PDF	N/A
Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal	Unknown	PDF	N/A
ReGround: Improving Textual and Spatial Grounding at No Cost	Unknown	PDF	N/A
CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos	Unknown	PDF	N/A
Per-Gaussian Embedding-Based Deformation for Deformable 3D Gaussian Splatting	Unknown	PDF	N/A
Efficient Image Pre-Training with Siamese Cropped Masked Autoencoders	Unknown	PDF	N/A
Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation	Unknown	PDF	N/A
Image Demoireing in RAW and sRGB Domains	Unknown	PDF	N/A
Reliability in Semantic Segmentation: Can We Use Synthetic Data?	Unknown	PDF	N/A
Prompting Future Driven Diffusion Model for Hand Motion Prediction	Unknown	PDF	N/A
Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning	Unknown	PDF	N/A
3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views	Unknown	PDF	N/A
Lazy Diffusion Transformer for Interactive Image Editing	Unknown	PDF	N/A
Robust Calibration of Large Vision-Language Adapters	Unknown	PDF	N/A
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation	Unknown	PDF	N/A
Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training	Unknown	PDF	N/A
AugDETR: Improving Multi-scale Learning for Detection Transformer	Unknown	PDF	N/A
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos	Unknown	PDF	N/A
SIGMA: Sinkhorn-Guided Masked Video Modeling	Unknown	PDF	N/A
Generative Camera Dolly: Extreme Monocular Dynamic Novel View Synthesis	Unknown	PDF	N/A
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams	Unknown	PDF	N/A
Understanding Physical Dynamics with Counterfactual World Modeling	Unknown	PDF	N/A
SemTrack: A Large-scale Dataset for Semantic Tracking in the Wild	Unknown	PDF	N/A
VideoMamba: Spatio-Temporal Selective State Space Model	Unknown	PDF	N/A
Text to Layer-wise 3D Clothed Human Generation	Unknown	PDF	N/A
Fully Sparse 3D Occupancy Prediction	Unknown	PDF	N/A
CG-SLAM: Efficient Dense RGB-D SLAM in a Consistent Uncertainty-aware 3D Gaussian Field	Unknown	PDF	N/A
High-Fidelity 3D Textured Shapes Generation by Sparse Encoding and Adversarial Decoding	Unknown	PDF	N/A
PointLLM: Empowering Large Language Models to Understand Point Clouds	Unknown	PDF	N/A
Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation	Unknown	PDF	N/A
Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis	Unknown	PDF	N/A
AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation	Unknown	PDF	N/A
Spatially-Variant Degradation Model for Dataset-free Super-resolution	Unknown	PDF	N/A
Learning Exhaustive Correlation for Spectral Super-Resolution: Where Spatial-Spectral Attention Meets Linear Dependence	Unknown	PDF	N/A
SUMix: Mixup with Semantic and Uncertain Information	Unknown	PDF	N/A
Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation	Unknown	PDF	N/A
EAFormer: Scene Text Segmentation with Edge-Aware Transformers	Unknown	PDF	N/A
DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction	Unknown	PDF	N/A
LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation	Unknown	PDF	N/A
Upper-body Hierarchical Graph for Skeleton Based Emotion Recognition in Assistive Driving	Unknown	PDF	N/A
Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction	Unknown	PDF	N/A
Zero-Shot Detection of AI-Generated Images	Unknown	PDF	N/A
Boosting 3D Single Object Tracking with 2D Matching Distillation and 3D Pre-training	Unknown	PDF	N/A
Exploring Guided Sampling of Conditional GANs	Unknown	PDF	N/A
TCC-Det: Temporarily consistent cues for weakly-supervised 3D detection	Unknown	PDF	N/A
Radiative Gaussian Splatting for Efficient X-ray Novel View Synthesis	Unknown	PDF	N/A
OPEN: Object-wise Position Embedding for Multi-view 3D Object Detection	Unknown	PDF	N/A
Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation	Unknown	PDF	N/A
Kalman-Inspired Feature Propagation for Video Face Super-Resolution	Unknown	PDF	N/A
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models	Unknown	PDF	N/A
VideoMamba: State Space Model for Efficient Video Understanding	Unknown	PDF	N/A
Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds	Unknown	PDF	N/A
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models	Unknown	PDF	N/A
DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video	Unknown	PDF	N/A
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models	Unknown	PDF	N/A
Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals	Unknown	PDF	N/A
Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models	Unknown	PDF	N/A
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection	Unknown	PDF	N/A
FreeAugment: Data Augmentation Search Across All Degrees of Freedom	Unknown	PDF	N/A
I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM	Unknown	PDF	N/A
FlashTex: Fast Relightable Mesh Texturing with LightControlNet	Unknown	PDF	N/A
GS-Pose: Category-Level Object Pose Estimation via Geometric and Semantic Correspondence	Unknown	PDF	N/A
ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling	Unknown	PDF	N/A
PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-view Self-Guidance	Unknown	PDF	N/A
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors	Unknown	PDF	N/A
Lagrangian Hashing for Compressed Neural Field Representations	Unknown	PDF	N/A
Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis	Unknown	PDF	N/A
Gaze Target Detection Based on Head-Local-Global Coordination	Unknown	PDF	N/A
3DSA:Multi-View 3D Human Pose Estimation With 3D Space Attention Mechanisms	Unknown	PDF	N/A
An Economic Framework for 6-DoF Grasp Detection	Unknown	PDF	N/A
GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction	Unknown	PDF	N/A
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery	Unknown	PDF	N/A
Multi-Label Cluster Discrimination for Visual Representation Learning	Unknown	PDF	N/A
Plan, Posture and Go: Towards Open-vocabulary Text-to-Motion Generation	Unknown	PDF	N/A
DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion	Unknown	PDF	N/A
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks	Unknown	PDF	N/A
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering	Unknown	PDF	N/A
RGNet: A Unified Clip Retrieval and Grounding Network for Long Videos	Unknown	PDF	N/A
Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds	Unknown	PDF	N/A
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation	Unknown	PDF	N/A
StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models	Unknown	PDF	N/A
Deblur e-NeRF: NeRF from Motion-Blurred Events under High-speed or Low-light Conditions	Unknown	PDF	N/A
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences	Unknown	PDF	N/A
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective	Unknown	PDF	N/A
Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation	Unknown	PDF	N/A
MagicEraser: Erasing Any Objects via Semantics-Aware Control	Unknown	PDF	N/A
Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation	Unknown	PDF	N/A
SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images	Unknown	PDF	N/A
NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model	Unknown	PDF	N/A
Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities	Unknown	PDF	N/A
3D Small Object Detection with Dynamic Spatial Pruning	Unknown	PDF	N/A
Semantically Guided Representation Learning For Action Anticipation	Unknown	PDF	N/A
MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory	Unknown	PDF	N/A
ScanTalk: 3D Talking Heads from Unregistered Scans	Unknown	PDF	N/A
FreeInit: Bridging Initialization Gap in Video Diffusion Models	Unknown	PDF	N/A
Synchronous Diffusion for Unsupervised Smooth Non-Rigid 3D Shape Matching	Unknown	PDF	N/A
Controllable Navigation Instruction Generation with Chain of Thought Prompting	Unknown	PDF	N/A
TimeCraft: Navigate Weakly-Supervised Temporal Grounded Video Question Answering via Bi-directional Reasoning	Unknown	PDF	N/A
LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment	Unknown	PDF	N/A
EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere	Unknown	PDF	N/A
SuperGaussian: Repurposing Video Models for 3D Super Resolution	Unknown	PDF	N/A
Towards Model-Agnostic Dataset Condensation by Heterogeneous Models	Unknown	PDF	N/A
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning	Unknown	PDF	N/A
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training	Unknown	PDF	N/A
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation	Unknown	PDF	N/A
Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models	Unknown	PDF	N/A
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance	Unknown	PDF	N/A
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction	Unknown	PDF	N/A
D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction	Unknown	PDF	N/A
Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution	Unknown	PDF	N/A
Decomposed Vector-Quantized Variational Autoencoder for Human Grasp Generation	Unknown	PDF	N/A
UniFS: Universal Few-shot Instance Perception with Point Representations	Unknown	PDF	N/A
Linearly Controllable GAN: Unsupervised Feature Categorization and Decomposition for Image Generation and Manipulation	Unknown	PDF	N/A
Physics-Based Interaction with 3D Objects via Video Generation	Unknown	PDF	N/A
Taming Latent Diffusion Model for Neural Radiance Field Inpainting	Unknown	PDF	N/A
Shedding More Light on Robust Classifiers under the lens of Energy-based Models	Unknown	PDF	N/A
CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians	Unknown	PDF	N/A
Unleashing the Power of Prompt-driven Nucleus Instance Segmentation	Unknown	PDF	N/A
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions	Unknown	PDF	N/A
3DEgo: 3D Editing on the Go!	Unknown	PDF	N/A
Domain-adaptive Video Deblurring via Test-time Blurring	Unknown	PDF	N/A
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving	Unknown	PDF	N/A
Progressive Pretext Task Learning for Human Trajectory Prediction	Unknown	PDF	N/A
Hyperion – A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAM	Unknown	PDF	N/A
Isomorphic Pruning for Vision Models	Unknown	PDF	N/A
Reprojection Errors as Prompts for Efficient Scene Coordinate Regression	Unknown	PDF	N/A
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation	Unknown	PDF	N/A
DreamMotion: Space-Time Self-Similar Score Distillation for Zero-Shot Video Editing	Unknown	PDF	N/A
VideoClusterNet: Self-Supervised and Adaptive Face Clustering for Videos	Unknown	PDF	N/A
Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack	Unknown	PDF	N/A
Interleaving One-Class and Weakly-Supervised Models with Adaptive Thresholding for Unsupervised Video Anomaly Detection	Unknown	PDF	N/A
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information	Unknown	PDF	N/A
Cross-Domain Learning for Video Anomaly Detection with Limited Supervision	Unknown	PDF	N/A
Unsupervised Multi-modal Medical Image Registration via Invertible Translation	Unknown	PDF	N/A
CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model	Unknown	PDF	N/A
SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM	Unknown	PDF	N/A
View Selection for 3D Captioning via Diffusion Ranking	Unknown	PDF	N/A
OMG: Occlusion-friendly Personalized Multi-concept Generation in Diffusion Models	Unknown	PDF	N/A
WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting	Unknown	PDF	N/A
Enhancing Optimization Robustness in 1-bit Neural Networks through Stochastic Sign Descent	Unknown	PDF	N/A
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models	Unknown	PDF	N/A
BeNeRF:Neural Radiance Fields from a Single Blurry Image and Event Stream	Unknown	PDF	N/A
DreamDiffusion: High-Quality EEG-to-Image Generation with Temporal Masked Signal Modeling and CLIP Alignment	Unknown	PDF	N/A
SCP-Diff: Spatial-Categorical Joint Prior for Diffusion Based Semantic Image Synthesis	Unknown	PDF	N/A
PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture	Unknown	PDF	N/A
PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation	Unknown	PDF	N/A
GiT: Towards Generalist Vision Transformer through Universal Language Interface	Unknown	PDF	N/A
Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection	Unknown	PDF	N/A
Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach	Unknown	PDF	N/A
Surface-Centric Modeling for High-Fidelity Generalizable Neural Surface Reconstruction	Unknown	PDF	N/A
BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression	Unknown	PDF	N/A
Integer-Valued Training and Spike-driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detection	Unknown	PDF	N/A
Group Testing for Accurate and Efficient Range-Based Near Neighbor Search for Plagiarism Detection	Unknown	PDF	N/A
CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization	Unknown	PDF	N/A
SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection	Unknown	PDF	N/A
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models	Unknown	PDF	N/A
S-JEPA: A Joint Embedding Predictive Architecture for Skeletal Action Recognition	Unknown	PDF	N/A
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Image Editing	Unknown	PDF	N/A
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation	Unknown	PDF	N/A
OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks	Unknown	PDF	N/A
Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos	Unknown	PDF	N/A
Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data	Unknown	PDF	N/A
Click Prompt Learning with Optimal Transport for Interactive Segmentation	Unknown	PDF	N/A
T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy	Unknown	PDF	N/A
3D Human Pose Estimation via Non-Causal Retentive Networks	Unknown	PDF	N/A
6DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face Geometry	Unknown	PDF	N/A
Enhancing Tampered Text Detection through Frequency Feature Fusion and Decomposition	Unknown	PDF	N/A
DynoSurf: Neural Deformation-based Temporally Consistent Dynamic Surface Reconstruction	Unknown	PDF	N/A
Learning Diffusion Models for Multi-View Anomaly Detection	Unknown	PDF	N/A
Masked Angle-Aware Autoencoder for Remote Sensing Images	Unknown	PDF	N/A
Multi-modal Relation Distillation for Unified 3D Representation Learning	Unknown	PDF	N/A
LongVLM: Efficient Long Video Understanding via Large Language Models	Unknown	PDF	N/A
The All-Seeing Project V2: Towards General Relation Comprehension of the Open World	Unknown	PDF	N/A
Diff3DETR: Agent-based Diffusion Model for Semi-supervised 3D Object Detection	Unknown	PDF	N/A
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model	Unknown	PDF	N/A
Light-in-Flight for a World-in-Motion	Unknown	PDF	N/A
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labels	Unknown	PDF	N/A
Learning with Unmasked Tokens Drives Stronger Vision Learners	Unknown	PDF	N/A
Efficient Training of Spiking Neural Networks with Multi-Parallel Implicit Stream Architecture	Unknown	PDF	N/A
Deep Patch Visual SLAM	Unknown	PDF	N/A
LiteSAM is Actually what you Need for segment Everything	Unknown	PDF	N/A
GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections	Unknown	PDF	N/A
Visual Prompting via Partial Optimal Transport	Unknown	PDF	N/A
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection	Unknown	PDF	N/A
Pathformer3D: A 3D Scanpath Transformer for 360° Images	Unknown	PDF	N/A
Visual Grounding for Object-Level Generalization in Reinforcement Learning	Unknown	PDF	N/A
TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection	Unknown	PDF	N/A
SparseLIF: High-Performance Sparse LiDAR-Camera Fusion for 3D Object Detection	Unknown	PDF	N/A
Asymmetric Mask Scheme for Self-Supervised Real Image Denoising	Unknown	PDF	N/A
FlexAttention for Efficient High-Resolution Vision-Language Models	Unknown	PDF	N/A
EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation	Unknown	PDF	N/A
EMDM: Efficient Motion Diffusion Model for Fast, High-Quality Human Motion Generation	Unknown	PDF	N/A
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation	Unknown	PDF	N/A
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving	Unknown	PDF	N/A
Temporal Event Stereo via Joint Learning with Stereoscopic Flow	Unknown	PDF	N/A
H-V2X: A Large Scale Highway Dataset for BEV Perception	Unknown	PDF	N/A
ManiGaussian: Dynamic Gaussian Splatting for Multi-task Robotic Manipulation	Unknown	PDF	N/A
QueryCDR: Query-based Controllable Distortion Rectification Network for Fisheye Images	Unknown	PDF	N/A
Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection	Unknown	PDF	N/A
E3V-K5: An Authentic Benchmark for Redefining Video-Based Energy Expenditure Estimation	Unknown	PDF	N/A
InstructIR: High-Quality Image Restoration Following Human Instructions	Unknown	PDF	N/A
Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation	Unknown	PDF	N/A
LayoutFlow: Flow Matching for Layout Generation	Unknown	PDF	N/A
Making Large Language Models Better Planners with Reasoning-Decision Alignment	Unknown	PDF	N/A
Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference	Unknown	PDF	N/A
PACE: Pose Annotations in Cluttered Environments	Unknown	PDF	N/A
InfMAE: A Foundation Model in The Infrared Modality	Unknown	PDF	N/A
Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs	Unknown	PDF	N/A
STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians	Unknown	PDF	N/A
Robust Incremental Structure-from-Motion with Hybrid Features	Unknown	PDF	N/A
FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis	Unknown	PDF	N/A
UniCal: Unified Neural Sensor Calibration	Unknown	PDF	N/A
Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models	Unknown	PDF	N/A
Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter	Unknown	PDF	N/A
ReMoS: 3D Motion-Conditioned Reaction Synthesis for Two-Person Interactions	Unknown	PDF	N/A
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition	Unknown	PDF	N/A
Synchronization of Projective Transformations	Unknown	PDF	N/A
U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation	Unknown	PDF	N/A
Insect Identification in the Wild: The AMI Dataset	Unknown	PDF	N/A
Test-time Model Adaptation for Image Reconstruction Using Self-supervised Adaptive Layers	Unknown	PDF	N/A
CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring	Unknown	PDF	N/A
This Probably Looks Exactly Like That: An Invertible Prototypical Network	Unknown	PDF	N/A
GenRC: Generative 3D Room Completion from Sparse Image Collections	Unknown	PDF	N/A
Towards Open-ended Visual Quality Comparison	Unknown	PDF	N/A
EgoPet: Egomotion and Interaction Data from an Animal's Perspective	Unknown	PDF	N/A
Neural graphics texture compression supporting random access	Unknown	PDF	N/A
Contrastive Learning with Synthetic Positives	Unknown	PDF	N/A
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features	Unknown	PDF	N/A
DIM: Dyadic Interaction Modeling for Social Behavior Generation	Unknown	PDF	N/A
ControlCap: Controllable Region-level Captioning	Unknown	PDF	N/A
MaxFusion: Plug&Play Multi-Modal Generation in Text-to-Image Diffusion Models	Unknown	PDF	N/A
Watch Your Steps: Local Image and Scene Editing by Text Instructions	Unknown	PDF	N/A
Forget More to Learn More: Domain-specific Feature Unlearning for Semi-supervised and Unsupervised Domain Adaptation	Unknown	PDF	N/A
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language Model	Unknown	PDF	N/A
3x2: 3D Object Part Segmentation by 2D Semantic Correspondences	Unknown	PDF	N/A
CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians	Unknown	PDF	N/A
Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning	Unknown	PDF	N/A
A Semantic Space is Worth 256 Language Descriptions: Make Stronger Segmentation Models with Descriptive Properties	Unknown	PDF	N/A
Fast View Synthesis of Casual Videos with Soup-of-Planes	Unknown	PDF	N/A
Confidence Self-Calibration for Multi-Label Class-Incremental Learning	Unknown	PDF	N/A
Video Question Answering with Procedural Programs	Unknown	PDF	N/A
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification	Unknown	PDF	N/A
Elegantly Written: Disentangling Writer and Character Styles for Enhancing Online Chinese Handwriting	Unknown	PDF	N/A
SlotLifter: Slot-guided Feature Lifting for Learning Object-Centric Radiance Fields	Unknown	PDF	N/A
Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization	Unknown	PDF	N/A
LLMGA: Multimodal Large Language Model based Generation Assistant	Unknown	PDF	N/A
Shape from Heat Conduction	Unknown	PDF	N/A
Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence	Unknown	PDF	N/A
HandDGP: Camera-Space Hand Mesh Prediction with Differentiable Global Positioning	Unknown	PDF	N/A
Mutual Learning for Acoustic Matching and Dereverberation via Visual Scene-driven Diffusion	Unknown	PDF	N/A
Towards High-Quality 3D Motion Transfer with Realistic Apparel Animation	Unknown	PDF	N/A
AnyHome: Open-Vocabulary Large-Scale Indoor Scene Generation with First-Person View Exploration	Unknown	PDF	N/A
Better Call SAL: Towards Learning to Segment Anything in Lidar	Unknown	PDF	N/A
DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control	Unknown	PDF	N/A
iMatching: Imperative Correspondence Learning	Unknown	PDF	N/A
Appearance-based Refinement for Object-Centric Motion Segmentation	Unknown	PDF	N/A
Open Panoramic Segmentation	Unknown	PDF	N/A
Open Vocabulary Multi-Label Video Classification	Unknown	PDF	N/A
Shape-guided Configuration-aware Learning for Endoscopic-image-based Pose Estimation of Flexible Robotic Instruments	Unknown	PDF	N/A
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation	Unknown	PDF	N/A
GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image	Unknown	PDF	N/A
Efficient Pre-training for Localized Instruction Generation of Procedural Videos	Unknown	PDF	N/A
MTKD: Multi-Teacher Knowledge Distillation for Image Super-Resolution	Unknown	PDF	N/A
DEAL: Disentangle and Localize Concept-level Explanations for VLMs	Unknown	PDF	N/A
RoadPainter: Points Are Ideal Navigators for Topology transformER	Unknown	PDF	N/A
Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models	Unknown	PDF	N/A
Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following	Unknown	PDF	N/A
IMMA: Immunizing text-to-image Models against Malicious Adaptation	Unknown	PDF	N/A
ReALFRED: An Embodied Instruction Following Benchmark in Photo-Realistic Environments	Unknown	PDF	N/A
SPAMming Labels: Efficient Annotations for the Trackers of Tomorrow	Unknown	PDF	N/A
GeoCalib: Learning Single-image Calibration with Geometric Optimization	Unknown	PDF	N/A
3D Open-Vocabulary Panoptic Segmentation with 2D-3D Vision-Language Distillation	Unknown	PDF	N/A
ReMatching: Low-Resolution Representations for Scalable Shape Correspondence	Unknown	PDF	N/A
Semicalibrated Relative Pose from an Affine Correspondence and Monodepth	Unknown	PDF	N/A
Global Structure-from-Motion Revisited	Unknown	PDF	N/A
Gravity-aligned Rotation Averaging with Circular Regression	Unknown	PDF	N/A
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation	Unknown	PDF	N/A
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments	Unknown	PDF	N/A
Quanta Video Restoration	Unknown	PDF	N/A
Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models	Unknown	PDF	N/A
A Probability-guided Sampler for Neural Implicit Surface Rendering	Unknown	PDF	N/A
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model	Unknown	PDF	N/A
ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image	Unknown	PDF	N/A
FinePseudo: Improving Pseudo-Labelling through Temporal-Alignablity for Semi-Supervised Fine-Grained Action Recognition	Unknown	PDF	N/A
POCA: Post-training Quantization with Temporal Alignment for Codec Avatars	Unknown	PDF	N/A
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts	Unknown	PDF	N/A
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers	Unknown	PDF	N/A
Bridging the Gap: Studio-like Avatar Creation from a Monocular Phone Capture	Unknown	PDF	N/A
A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks	Unknown	PDF	N/A
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution	Unknown	PDF	N/A
Audio-Synchronized Visual Animation	Unknown	PDF	N/A
Expressive Whole-Body 3D Gaussian Avatar	Unknown	PDF	N/A
Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving	Unknown	PDF	N/A
DoughNet: A Visual Predictive Model for Topological Manipulation of Deformable Objects	Unknown	PDF	N/A
PAV: Personalized Head Avatar from Unstructured Video Collection	Unknown	PDF	N/A
Strike a Balance in Continual Panoptic Segmentation	Unknown	PDF	N/A
MultiDelete for Multimodal Machine Unlearning	Unknown	PDF	N/A
Stitched ViTs are Flexible Vision Backbones	Unknown	PDF	N/A
Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation	Unknown	PDF	N/A
TrajPrompt: Aligning Color Trajectory with Vision-Language Representations	Unknown	PDF	N/A
Stable Preference: Redefining training paradigm of human preference model for Text-to-Image Synthesis	Unknown	PDF	N/A
CountFormer: Multi-View Crowd Counting Transformer	Unknown	PDF	N/A
SemReg: Semantics Constrained Point Cloud Registration	Unknown	PDF	N/A
You Only Need One Step: Fast Super-Resolution with Stable Diffusion via Scale Distillation	Unknown	PDF	N/A
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection	Unknown	PDF	N/A
Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects	Unknown	PDF	N/A
Cascade-Zero123: One Image to Highly Consistent 3D with Self-Prompted Nearby Views	Unknown	PDF	N/A
RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception	Unknown	PDF	N/A
R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding	Unknown	PDF	N/A
SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition	Unknown	PDF	N/A
Tree-D Fusion: Simulation-Ready Tree Dataset from Single Images with Diffusion Priors	Unknown	PDF	N/A
ActionVOS: Actions as Prompts for Video Object Segmentation	Unknown	PDF	N/A
DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models	Unknown	PDF	N/A
One-stage Prompt-based Continual Learning	Unknown	PDF	N/A
Unsqueeze [CLS] Bottleneck to Learn Rich Representations	Unknown	PDF	N/A
Robust Multimodal Learning via Representation Decoupling	Unknown	PDF	N/A
Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models	Unknown	PDF	N/A
Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment	Unknown	PDF	N/A
WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing	Unknown	PDF	N/A
Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality	Unknown	PDF	N/A
Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediciton Tasks	Unknown	PDF	N/A
A Direct Approach to Viewing Graph Solvability	Unknown	PDF	N/A
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer	Unknown	PDF	N/A
Look Hear: Gaze Prediction for Speech-directed Human Attention	Unknown	PDF	N/A
Raising the Ceiling: Conflict-Free Local Feature Matching with Dynamic View Switching	Unknown	PDF	N/A
Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework	Unknown	PDF	N/A
SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models	Unknown	PDF	N/A
Parrot Captions Teach CLIP to Spot Text	Unknown	PDF	N/A
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning	Unknown	PDF	N/A
Solving Motion Planning Tasks with a Scalable Generative Model	Unknown	PDF	N/A
Rotary Position Embedding for Vision Transformer	Unknown	PDF	N/A
Rebalancing Using Estimated Class Distribution for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch	Unknown	PDF	N/A
Griffon: Spelling out All Object Locations at Any Granularity with Large Language Models	Unknown	PDF	N/A
ReNoise: Real Image Inversion Through Iterative Noising	Unknown	PDF	N/A
Vision-Language Action Knowledge Learning for Semantic-Aware Action Quality Assessment	Unknown	PDF	N/A
Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions	Unknown	PDF	N/A
PLOT: Text-based Person Search with Part Slot Attention for Corresponding Part Discovery	Unknown	PDF	N/A
Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation	Unknown	PDF	N/A
Recursive Visual Programming	Unknown	PDF	N/A
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks	Unknown	PDF	N/A
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds	Unknown	PDF	N/A
Take A Step Back: Rethinking the Two Stages in Visual Reasoning	Unknown	PDF	N/A
Human-in-the-Loop Visual Re-ID for Population Size Estimation	Unknown	PDF	N/A
Finding Visual Task Vectors	Unknown	PDF	N/A
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction	Unknown	PDF	N/A
Tensorial template matching for fast cross-correlation with rotations and its application for tomography	Unknown	PDF	N/A
Event Camera Data Dense Pre-training	Unknown	PDF	N/A
Distractors-Immune Representation Learning with Cross-modal Contrastive Regularization for Change Captioning	Unknown	PDF	N/A
DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism	Unknown	PDF	N/A
EgoLifter: Open-world 3D Segmentation for Egocentric Perception	Unknown	PDF	N/A
MoVideo: Motion-Aware Video Generation with Diffusion Models	Unknown	PDF	N/A
ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion	Unknown	PDF	N/A
Where am I? Scene Retrieval with Language	Unknown	PDF	N/A
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning	Unknown	PDF	N/A
RangeLDM: Fast Realistic LiDAR Point Cloud Generation	Unknown	PDF	N/A
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation	Unknown	PDF	N/A
Physically Plausible Color Correction for Neural Radiance Fields	Unknown	PDF	N/A
Unifying 3D Vision-Language Understanding via Promptable Queries	Unknown	PDF	N/A
LLM as Copilot for Coarse-grained Vision-and-Language Navigation	Unknown	PDF	N/A
Revisiting Calibration of Wide-Angle Radially Symmetric Cameras	Unknown	PDF	N/A
Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution	Unknown	PDF	N/A
PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control	Unknown	PDF	N/A
MAD-DR: Map Compression for Visual Localization with Matchness Aware Descriptor Dimension Reduction	Unknown	PDF	N/A
A New Dataset and Framework for Real-World Blurred Images Super-Resolution	Unknown	PDF	N/A
Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction	Unknown	PDF	N/A
Unleashing the Potential of the Semantic Latent Space in Diffusion Models for Image Dehazing	Unknown	PDF	N/A
Uncertainty-aware sign language video retrieval with probability distribution modeling	Unknown	PDF	N/A
NeRMo: Learning Implicit Neural Representations for 3D Human Motion Prediction	Unknown	PDF	N/A
SAFARI: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation	Unknown	PDF	N/A
Adversarial Prompt Tuning for Vision-Language Models	Unknown	PDF	N/A
BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering	Unknown	PDF	N/A
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks	Unknown	PDF	N/A
CC-SAM: Enhancing SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation	Unknown	PDF	N/A
Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing	Unknown	PDF	N/A
An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding	Unknown	PDF	N/A
X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-modal Reasoning	Unknown	PDF	N/A
Operational Open-Set Recognition and PostMax Refinement	Unknown	PDF	N/A
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation	Unknown	PDF	N/A
Text2Place: Affordance-aware Text Guided Human Placement	Unknown	PDF	N/A
REFRAME: Reflective Surface Real-Time Rendering for Mobile Devices	Unknown	PDF	N/A
Self-Training Room Layout via Geometry-aware Ray-casting	Unknown	PDF	N/A
TAPTR: Tracking Any Point with Transformers as Detection	Unknown	PDF	N/A
Adaptive Multi-task Learning for Few-shot Object Detection	Unknown	PDF	N/A
Closed-Loop Unsupervised Representation Disentanglement with $\beta$-VAE Distillation and Diffusion Probabilistic Feedback	Unknown	PDF	N/A
ZoLA: Zero-Shot Creative Long Animation Generation with Short Video Model	Unknown	PDF	N/A
Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration	Unknown	PDF	N/A
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection	Unknown	PDF	N/A
Textual Grounding for Open-vocabulary Visual Information Extraction in Layout-diversified Documents	Unknown	PDF	N/A
Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery	Unknown	PDF	N/A
Multimodal Cross-Domain Few-Shot Learning for Egocentric Action Recognition	Unknown	PDF	N/A
D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On	Unknown	PDF	N/A
TC4D: Trajectory-Conditioned Text-to-4D Generation	Unknown	PDF	N/A
RAW-Adapter: Adapting Pretrained Visual Model to Camera RAW Images	Unknown	PDF	N/A
Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding	Unknown	PDF	N/A
Dataset Enhancement with Instance-Level Augmentations	Unknown	PDF	N/A
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models	Unknown	PDF	N/A
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching	Unknown	PDF	N/A
ST-LDM: A Universal Framework for Text-Grounded Object Generation in Real Images	Unknown	PDF	N/A
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery	Unknown	PDF	N/A
SLIM: Spuriousness Mitigation with Minimal Human Annotations	Unknown	PDF	N/A
Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset	Unknown	PDF	N/A
X-Pose: Detecting Any Keypoints	Unknown	PDF	N/A
MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition	Unknown	PDF	N/A
∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions	Unknown	PDF	N/A
OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing	Unknown	PDF	N/A
UniMD: Towards Unifying Moment Retrieval and Temporal Action Detection	Unknown	PDF	N/A
MetaCap: Meta-learning Priors from Multi-View Imagery for Sparse-view Human Performance Capture and Rendering	Unknown	PDF	N/A
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction	Unknown	PDF	N/A
Motion Aware Event Representation-driven Image Deblurring	Unknown	PDF	N/A
Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Object Appearance Graphs	Unknown	PDF	N/A
WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language	Unknown	PDF	N/A
Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models	Unknown	PDF	N/A
GroupDiff: Diffusion-based Group Portrait Editing	Unknown	PDF	N/A
Privacy-Preserving Adaptive Re-Identification without Image Transfer	Unknown	PDF	N/A
Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression	Unknown	PDF	N/A
UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Prompt	Unknown	PDF	N/A
TexDreamer: Towards Zero-Shot High-Fidelity 3D Human Texture Generation	Unknown	PDF	N/A
MVPGS: Excavating Multi-view Priors for Gaussian Splatting from Sparse Input Views	Unknown	PDF	N/A
Towards More Practical Group Activity Detection: A New Benchmark and Model	Unknown	PDF	N/A
Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models	Unknown	PDF	N/A
Zero-Shot Image Feature Consensus with Deep Functional Maps	Unknown	PDF	N/A
Geospecific View Generation - Geometry-Context Aware High-resolution Ground View Inference from Satellite Views	Unknown	PDF	N/A
City-on-Web: Real-time Neural Rendering of Large-scale Scenes on the Web	Unknown	PDF	N/A
Co-Student: Collaborating Strong and Weak Students for Sparsely Annotated Object Detection	Unknown	PDF	N/A
SeiT++: Masked Token Modeling Improves Storage-efficient Training	Unknown	PDF	N/A
Revisiting Feature Disentanglement Strategy in Diffusion Training and Breaking Conditional Independence Assumption in Sampling	Unknown	PDF	N/A
ProMerge: Prompt and Merge for Unsupervised Instance Segmentation	Unknown	PDF	N/A
Open-Vocabulary Camouflaged Object Segmentation	Unknown	PDF	N/A
CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images	Unknown	PDF	N/A
PetFace: A Large-Scale Dataset and Benchmark for Animal Identification	Unknown	PDF	N/A
A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging	Unknown	PDF	N/A
InterFusion: Text-Driven Generation of 3D Human-Object Interaction	Unknown	PDF	N/A
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval	Unknown	PDF	N/A
Flow-Assisted Motion Learning Network for Weakly-Supervised Group Activity Recognition	Unknown	PDF	N/A
Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection	Unknown	PDF	N/A
Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification	Unknown	PDF	N/A
Compositional Substitutivity of Visual Reasoning for Visual Question Answering	Unknown	PDF	N/A
DNI: Dilutional Noise Initialization for Diffusion Video Editing	Unknown	PDF	N/A
Fully Authentic Visual Question Answering Dataset from Online Communities	Unknown	PDF	N/A
Towards Physical World Backdoor Attacks against Skeleton Action Recognition	Unknown	PDF	N/A
Active Generation for Image Classification	Unknown	PDF	N/A
Panel-Specific Degradation Representation for Raw Under-Display Camera Image Restoration	Unknown	PDF	N/A
Unlocking Textual and Visual Wisdom: Open-Vocabulary 3D Object Detection Enhanced by Comprehensive Guidance from Text and Image	Unknown	PDF	N/A
Diffusion-Guided Weakly Supervised Semantic Segmentation	Unknown	PDF	N/A
DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration	Unknown	PDF	N/A
Real-time Holistic Robot Pose Estimation with Unknown States	Unknown	PDF	N/A
Online Vectorized HD Map Construction using Geometry	Unknown	PDF	N/A
Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation	Unknown	PDF	N/A
Click-Gaussian: Interactive Segmentation to Any 3D Gaussians	Unknown	PDF	N/A
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data	Unknown	PDF	N/A
Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth Completion	Unknown	PDF	N/A
Improving Virtual Try-On with Garment-focused Diffusion Models	Unknown	PDF	N/A
MANIKIN: Biomechanically Accurate Neural Inverse Kinematics for Human Motion Estimation	Unknown	PDF	N/A
Disentangled Generation and Aggregation for Robust Radiance Fields	Unknown	PDF	N/A
MoAI: Mixture of All Intelligence for Large Language and Vision Models	Unknown	PDF	N/A
SMooDi: Stylized Motion Diffusion Model	Unknown	PDF	N/A
Online Temporal Action Localization with Memory-Augmented Transformer	Unknown	PDF	N/A
JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation	Unknown	PDF	N/A
TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling	Unknown	PDF	N/A
SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models	Unknown	PDF	N/A
Learning Video Context as Interleaved Multimodal Sequences	Unknown	PDF	N/A
Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding	Unknown	PDF	N/A
FLAT: Flux-aware Imperceptible Adversarial Attacks on 3D Point Clouds	Unknown	PDF	N/A
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks	Unknown	PDF	N/A
Multi-branch Collaborative Learning Network for 3D Visual Grounding	Unknown	PDF	N/A
Progressive Proxy Anchor Propagation for Unsupervised Semantic Segmentation	Unknown	PDF	N/A
Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence	Unknown	PDF	N/A
Revisit Human-Scene Interaction via Space Occupancy	Unknown	PDF	N/A
Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Control	Unknown	PDF	N/A
WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model	Unknown	PDF	N/A
Mitigating Background Shift in Class-Incremental Semantic Segmentation	Unknown	PDF	N/A
Relation DETR: Exploring Explicit Position Relation Prior for Object Detection	Unknown	PDF	N/A
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation	Unknown	PDF	N/A
Object-Oriented Anchoring and Modal Alignment in Multimodal Learning	Unknown	PDF	N/A
SPIRE: Semantic Prompt-Driven Image Restoration	Unknown	PDF	N/A
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training	Unknown	PDF	N/A
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance	Unknown	PDF	N/A
Towards Stable 3D Object Detection	Unknown	PDF	N/A
FYI: Flip Your Images for Dataset Distillation	Unknown	PDF	N/A
On-the-fly Category Discovery for LiDAR Semantic Segmentation	Unknown	PDF	N/A
Dual-Camera Smooth Zoom on Mobile Phones	Unknown	PDF	N/A
Attention Decomposition for Cross-Domain Semantic Segmentation	Unknown	PDF	N/A
CONDA: Condensed Deep Association Learning for Co-Salient Object Detection.	Unknown	PDF	N/A
PolyRoom: Room-aware Transformer for Floorplan Reconstruction	Unknown	PDF	N/A
BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models	Unknown	PDF	N/A
SMFANet: A Lightweight Self-Modulation Feature Aggregation Network for Efficient Image Super-Resolution	Unknown	PDF	N/A
AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors	Unknown	PDF	N/A
Improving Video Segmentation via Dynamic Anchor Queries	Unknown	PDF	N/A
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights	Unknown	PDF	N/A
Diffusion Models as Optimizers for Efficient Planning in Offline RL	Unknown	PDF	N/A
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs	Unknown	PDF	N/A
Coarse-to-Fine Implicit Representation Learning for 3D Hand-Object Reconstruction from a Single RGB-D Image	Unknown	PDF	N/A
Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation Perspective	Unknown	PDF	N/A
Flatness-aware Sequential Learning Generates Resilient Backdoors	Unknown	PDF	N/A
PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking	Unknown	PDF	N/A
HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models	Unknown	PDF	N/A
SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning	Unknown	PDF	N/A
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning	Unknown	PDF	N/A
An Incremental Unified Framework for Small Defect Inspection	Unknown	PDF	N/A
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection	Unknown	PDF	N/A
MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation	Unknown	PDF	N/A
PointRegGPT: Boosting 3D Point Cloud Registration using Generative Point-Cloud Pairs for Training	Unknown	PDF	N/A
Real-time 3D-aware Portrait Editing from a Single Image	Unknown	PDF	N/A
Dolfin: Diffusion Layout Transformers without Autoencoder	Unknown	PDF	N/A
Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation	Unknown	PDF	N/A
Platypus: A Generalized Specialist Model for Reading Text in Various Forms	Unknown	PDF	N/A
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks	Unknown	PDF	N/A
Hybrid Video Diffusion Models with 2D Triplane and 3D Wavelet Representation	Unknown	PDF	N/A
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation	Unknown	PDF	N/A
Emergent Visual-Semantic Hierarchies in Image-Text Representations	Unknown	PDF	N/A
DriveLM: Driving with Graph Visual Question Answering	Unknown	PDF	N/A
Beyond Viewpoint: Robust 3D Object Recognition under Arbitrary Views through Joint Multi-Part Representation	Unknown	PDF	N/A
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors	Unknown	PDF	N/A
Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection	Unknown	PDF	N/A
Real Appearance Modeling for More General Deepfake Detection	Unknown	PDF	N/A
6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model	Unknown	PDF	N/A
Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge	Unknown	PDF	N/A
Event Trojan: Asynchronous Event-based Backdoor Attacks	Unknown	PDF	N/A
V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception	Unknown	PDF	N/A
VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space	Unknown	PDF	N/A
CatchBackdoor: Backdoor Detection via Critical Trojan Neural Path Fuzzing	Unknown	PDF	N/A
GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding	Unknown	PDF	N/A
Any2Point: Empowering Any-modality Transformers for Efficient 3D Understanding	Unknown	PDF	N/A
HARIVO: Harnessing Text-to-Image Models for Video Generation	Unknown	PDF	N/A
Deep Online Probability Aggregation Clustering	Unknown	PDF	N/A
WRIM-Net: Wide-Ranging Information Mining Network for Visible-Infrared Person Re-Identification	Unknown	PDF	N/A
Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models	Unknown	PDF	N/A
Length-Aware Motion Synthesis via Latent Diffusion	Unknown	PDF	N/A
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification	Unknown	PDF	N/A
Free Lunch for Gait Recognition: A Novel Relation Descriptor	Unknown	PDF	N/A
OneTrack: Demystifying the Conflict Between Detection and Tracking in End-to-End 3D Trackers	Unknown	PDF	N/A
An Optimal Control View of LoRA and Binary Controller Design for Vision Transformers	Unknown	PDF	N/A
Disentangled Clothed Avatar Generation from Text Descriptions	Unknown	PDF	N/A
Exploring Phrase-Level Grounding with Text-to-Image Diffusion Model	Unknown	PDF	N/A
Exemplar-free Continual Representation Learning via Learnable Drift Compensation	Unknown	PDF	N/A
Improving image synthesis with diffusion-negative sampling	Unknown	PDF	N/A
AvatarPose: Avatar-guided 3D Pose Estimation of Close Human Interaction from Sparse Multi-view Videos	Unknown	PDF	N/A
FedVAD: Enhancing Federated Video Anomaly Detection with GPT-Driven Semantic Distillation	Unknown	PDF	N/A
SignGen: End-to-End Sign Language Video Generation with Latent Diffusion	Unknown	PDF	N/A
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems	Unknown	PDF	N/A
Idling Neurons, Appropriately Lenient Workload During Fine-tuning Leads to Better Generalization	Unknown	PDF	N/A
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction	Unknown	PDF	N/A
S^3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis	Unknown	PDF	N/A
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations	Unknown	PDF	N/A
FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior	Unknown	PDF	N/A
Accelerating Image Generation with Sub-path Linear Approximation Model	Unknown	PDF	N/A
Revisit Event Generation Model: Self-Supervised Learning of Event-to-Video Reconstruction with Implicit Neural Representations	Unknown	PDF	N/A
SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds	Unknown	PDF	N/A
Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models	Unknown	PDF	N/A
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos	Unknown	PDF	N/A
TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation	Unknown	PDF	N/A
Camera Calibration using a Collimator System	Unknown	PDF	N/A
GRA: Detecting Oriented Objects through Group-wise Rotating and Attention	Unknown	PDF	N/A
Track Everything Everywhere Fast and Robustly	Unknown	PDF	N/A
AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion	Unknown	PDF	N/A
Label-free Neural Semantic Image Synthesis	Unknown	PDF	N/A
Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation	Unknown	PDF	N/A
Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts	Unknown	PDF	N/A
Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment	Unknown	PDF	N/A
FARSE-CNN: Fully Asynchronous, Recurrent and Sparse Event-Based CNN	Unknown	PDF	N/A
ConDense: Consistent 2D-3D Pre-training for Dense and Sparse Features from Multi-View Images	Unknown	PDF	N/A
Event-Aided Time-To-Collision Estimation for Autonomous Driving	Unknown	PDF	N/A
MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment	Unknown	PDF	N/A
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation	Unknown	PDF	N/A
Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning	Unknown	PDF	N/A
VEON: Vocabulary-Enhanced Occupancy Prediction	Unknown	PDF	N/A
Adapt without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models	Unknown	PDF	N/A
HiEI: A Universal Framework for Generating High-quality Emerging Images from Natural Images	Unknown	PDF	N/A
Nonverbal Interaction Detection	Unknown	PDF	N/A
The Sky's the Limit: Relightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility	Unknown	PDF	N/A
DiffFAS: Face Anti-Spoofing via Generative Diffusion Models	Unknown	PDF	N/A
Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance Insights	Unknown	PDF	N/A
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything	Unknown	PDF	N/A
Neural Spectral Decomposition for Dataset Distillation	Unknown	PDF	N/A
Collaborative Vision-Text Representation Optimizing for Open-Vocabulary Segmentation	Unknown	PDF	N/A
Region-Adaptive Transform with Segmentation Prior for Image Compression	Unknown	PDF	N/A
SmartControl: Enhancing ControlNet for Handling Rough Visual Conditions	Unknown	PDF	N/A
Cascade Prompt Learning for Visual-Language Model Adaptation	Unknown	PDF	N/A
Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion	Unknown	PDF	N/A
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process	Unknown	PDF	N/A
DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM	Unknown	PDF	N/A
Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition	Unknown	PDF	N/A
Delving Deep into Engagement Prediction of Short Videos	Unknown	PDF	N/A
CLEO: Continual Learning of Evolving Ontologies	Unknown	PDF	N/A
ByteEdit: Boost, Comply and Accelerate Generative Image Editing	Unknown	PDF	N/A
BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion	Unknown	PDF	N/A
Leveraging scale- and orientation-covariant features for planar motion estimation	Unknown	PDF	N/A
MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion	Unknown	PDF	N/A
MultiGen: Zero-shot Image Generation from Multi-modal Prompts	Unknown	PDF	N/A
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning	Unknown	PDF	N/A
VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors	Unknown	PDF	N/A
SWinGS: Sliding Windows for Dynamic 3D Gaussian Splatting	Unknown	PDF	N/A
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data	Unknown	PDF	N/A
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction	Unknown	PDF	N/A
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network	Unknown	PDF	N/A
AdaDistill: Adaptive Knowledge Distillation for Deep Face Recognition	Unknown	PDF	N/A
HERGen: Elevating Radiology Report Generation with Longitudinal Data	Unknown	PDF	N/A
Labeled Data Selection for Category Discovery	Unknown	PDF	N/A
Hierarchical Unsupervised Relation Distillation for Source Free Domain Adaptation	Unknown	PDF	N/A
Dependency-aware Differentiable Neural Architecture Search	Unknown	PDF	N/A
CLIFF: Continual Latent Diffusion for Open-Vocabulary Object Detection	Unknown	PDF	N/A
GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer	Unknown	PDF	N/A
SNeRV: Spectra-preserving Neural Representation for Video	Unknown	PDF	N/A
COMO: Compact Mapping and Odometry	Unknown	PDF	N/A
SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder	Unknown	PDF	N/A
EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation	Unknown	PDF	N/A
An Information Theoretical View for Out-Of-Distribution Detection	Unknown	PDF	N/A
HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras	Unknown	PDF	N/A
Adapting Fine-Grained Cross-View Localization to Areas without Fine Ground Truth	Unknown	PDF	N/A
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models	Unknown	PDF	N/A
SILC: Improving Vision Language Pretraining with Self-Distillation	Unknown	PDF	N/A
Analysis-by-Synthesis Transformer for Single-View 3D Reconstruction	Unknown	PDF	N/A
DMiT: Deformable Mipmapped Tri-Plane Representation for Dynamic Scenes	Unknown	PDF	N/A
Transferable 3D Adversarial Shape Completion using Diffusion Models	Unknown	PDF	N/A
Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation	Unknown	PDF	N/A
Exploiting Dual-Correlation for Multi-frame Time-of-Flight Denoising	Unknown	PDF	N/A
Event-Adapted Video Super-Resolution	Unknown	PDF	N/A
HowToCaption: Prompting LLMs to Transform Video Annotations at Scale	Unknown	PDF	N/A
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback	Unknown	PDF	N/A
UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation	Unknown	PDF	N/A
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection	Unknown	PDF	N/A
Beyond the Data Imbalance: Employing the Heterogeneous Datasets for Vehicle Maneuver Prediction	Unknown	PDF	N/A
On Pretraining Data Diversity for Self-Supervised Learning	Unknown	PDF	N/A
Bayesian Self-Training for Semi-Supervised 3D Segmentation	Unknown	PDF	N/A
Tri^{2}-plane: Thinking Head Avatar via Feature Pyramid	Unknown	PDF	N/A
Motion-Oriented Compositional Neural Radiance Fields for Monocular Dynamic Human Modeling	Unknown	PDF	N/A
Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal	Unknown	PDF	N/A
ParCo: Part-Coordinating Text-to-Motion Synthesis	Unknown	PDF	N/A
Learning to Complement and to Defer to Multiple Users	Unknown	PDF	N/A
Tiny Models are the Computational Saver for Large Models	Unknown	PDF	N/A
Multi-Sentence Grounding for Long-term Instructional Video	Unknown	PDF	N/A
AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization	Unknown	PDF	N/A
Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients	Unknown	PDF	N/A
Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°	Unknown	PDF	N/A
KMTalk: Speech-Driven 3D Facial Animation with Key Motion Embedding	Unknown	PDF	N/A
Rate-Distortion-Cognition Controllable Versatile Neural Image Compression	Unknown	PDF	N/A
Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers	Unknown	PDF	N/A
MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models	Unknown	PDF	N/A
ML-SemReg: Boosting Point Cloud Registration with Multi-level Semantic Consistency	Unknown	PDF	N/A
PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation	Unknown	PDF	N/A
CrossGLG: LLM Guides One-shot Skeleton-based 3D Action Recognition in a Cross-level Manner	Unknown	PDF	N/A
Vista3D: unravel the 3d darkside of a single image	Unknown	PDF	N/A
Scene Coordinate Reconstruction: Posing of Image Collections via Incremental Learning of a Relocalizer	Unknown	PDF	N/A
Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models	Unknown	PDF	N/A
Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors	Unknown	PDF	N/A
Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation	Unknown	PDF	N/A
StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion	Unknown	PDF	N/A
DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-level Control	Unknown	PDF	N/A
Segment and Recognize Anything at Any Granularity	Unknown	PDF	N/A
ST-LLM: Large Language Models Are Effective Temporal Learners	Unknown	PDF	N/A
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents	Unknown	PDF	N/A
Align before Collaborate: Mitigating Feature Misalignment for Robust Multi-Agent Perception	Unknown	PDF	N/A
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models	Unknown	PDF	N/A
A Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars	Unknown	PDF	N/A
Exact Diffusion Inversion via Bidirectional Integration Approximation	Unknown	PDF	N/A
Textual Query-Driven Mask Transformer for Domain Generalized Segmentation	Unknown	PDF	N/A
EmoTalk3D: High-Fidelity Free-View Synthesis of Emotional 3D Talking Head	Unknown	PDF	N/A
SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis	Unknown	PDF	N/A
Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors	Unknown	PDF	N/A
Object-Centric Diffusion for Efficient Video Editing	Unknown	PDF	N/A
Single-Mask Inpainting for Voxel-based Neural Radiance Fields	Unknown	PDF	N/A
Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval	Unknown	PDF	N/A
SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking	Unknown	PDF	N/A
Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts	Unknown	PDF	N/A
Agglomerative Token Clustering	Unknown	PDF	N/A
CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection	Unknown	PDF	N/A
NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition	Unknown	PDF	N/A
GIVT: Generative Infinite-Vocabulary Transformers	Unknown	PDF	N/A
SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion	Unknown	PDF	N/A
Mismatch Quest: Visual and Textual Feedback for Image-Text Misalignment	Unknown	PDF	N/A
Regulating Model Reliance on Non-Robust Features by Smoothing Input Marginal Density	Unknown	PDF	N/A
Multi-Modal Video Dialog State Tracking in the Wild	Unknown	PDF	N/A
Factorized Diffusion: Perceptual Illusions by Noise Decomposition	Unknown	PDF	N/A
Combining Generative and Geometry Priors for Wide-Angle Portrait Correction	Unknown	PDF	N/A
To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now	Unknown	PDF	N/A
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios	Unknown	PDF	N/A
Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions	Unknown	PDF	N/A
StereoGlue: Joint Feature Matching and Robust Estimation	Unknown	PDF	N/A
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory	Unknown	PDF	N/A
Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction	Unknown	PDF	N/A
Foster Adaptivity and Balance in Learning with Noisy Labels	Unknown	PDF	N/A
Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection	Unknown	PDF	N/A
Robust Zero-Shot Crowd Counting and Localization with Adaptive Resolution SAM	Unknown	PDF	N/A
AWOL: Analysis WithOut synthesis using Language	Unknown	PDF	N/A
OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework	Unknown	PDF	N/A
MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model	Unknown	PDF	N/A
Temporal Residual Jacobians for Rig-free Motion Transfer	Unknown	PDF	N/A
Object-Aware NIR-to-Visible Translation	Unknown	PDF	N/A
Taming Lookup Tables for Efficient Image Retouching	Unknown	PDF	N/A
DualDn: Dual-domain Denoising via Differentiable ISP	Unknown	PDF	N/A
From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition	Unknown	PDF	N/A
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector	Unknown	PDF	N/A
NICP: Neural ICP for 3D Human Registration at Scale	Unknown	PDF	N/A
Syn-to-Real Domain Adaptation for Point Cloud Completion via Part-based Approach	Unknown	PDF	N/A
PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines	Unknown	PDF	N/A
LiDAR-based All-weather 3D Object Detection via Prompting and Distilling 4D Radar	Unknown	PDF	N/A
FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generation	Unknown	PDF	N/A
Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras	Unknown	PDF	N/A
StableDrag: Stable Dragging for Point-based Image Editing	Unknown	PDF	N/A
Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation	Unknown	PDF	N/A
Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization	Unknown	PDF	N/A
Unlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and Visual Analysis Strategy	Unknown	PDF	N/A
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context	Unknown	PDF	N/A
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching	Unknown	PDF	N/A
Monocular Occupancy Prediction for Scalable Indoor Scenes	Unknown	PDF	N/A
Neural Surface Detection for Unsigned Distance Fields	Unknown	PDF	N/A
Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation	Unknown	PDF	N/A
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes	Unknown	PDF	N/A
Event-Based Motion Magnification	Unknown	PDF	N/A
AdaIFL: Adaptive Image Forgery Localization via a Dynamic and Importance-aware Transformer Network	Unknown	PDF	N/A
Improving Neural Surface Reconstruction with Feature Priors from Multi-View Images	Unknown	PDF	N/A
Towards Multimodal Sentiment Analysis Debiasing via Bias Purification	Unknown	PDF	N/A
ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos	Unknown	PDF	N/A
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty	Unknown	PDF	N/A
PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts	Unknown	PDF	N/A
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively	Unknown	PDF	N/A
Event-based Head Pose Estimation: Benchmark and Method	Unknown	PDF	N/A
UniTraj: A Unified Framework for Scalable Vehicle Trajectory Prediction	Unknown	PDF	N/A
PSALM: Pixelwise Segmentation with Large Multi-modal Model	Unknown	PDF	N/A
Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging	Unknown	PDF	N/A
Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense Reasoning	Unknown	PDF	N/A
Robustness Tokens: Towards Adversarial Robustness of Transformers	Unknown	PDF	N/A
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images	Unknown	PDF	N/A
DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation	Unknown	PDF	N/A
Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models	Unknown	PDF	N/A
PairingNet: A Learning-based Pair-searching and -matching Network for Image Fragments	Unknown	PDF	N/A
Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision	Unknown	PDF	N/A
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models	Unknown	PDF	N/A
EINet: Point Cloud Completion via Extrapolation and Interpolation	Unknown	PDF	N/A
Bridging the Gap Between Human Motion and Action Semantics via Kinematics Phrases	Unknown	PDF	N/A
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation	Unknown	PDF	N/A
ReCON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories	Unknown	PDF	N/A
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval	Unknown	PDF	N/A
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models	Unknown	PDF	N/A
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays	Unknown	PDF	N/A
StyleCity: Large-Scale 3D Urban Scenes Stylization	Unknown	PDF	N/A
Free-ATM: Harnessing Free Attention Masks for Representation Learning on Diffusion-Generated Images	Unknown	PDF	N/A
ViG-Bias: Visually Grounded Bias Discovery and Mitigation	Unknown	PDF	N/A
Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors	Unknown	PDF	N/A
DiffBIR: Toward Blind Image Restoration with Generative Diffusion Prior	Unknown	PDF	N/A
Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable Repainting	Unknown	PDF	N/A
Relightable Neural Actor with Intrinsic Decomposition and Pose Control	Unknown	PDF	N/A
Assessing Sample Quality via the Latent Space of Generative Models	Unknown	PDF	N/A
Enhancing Vectorized Map Perception with Historical Rasterized Maps	Unknown	PDF	N/A
Bidirectional Stereo Image Compression with Cross-Dimensional Entropy Model	Unknown	PDF	N/A
Pseudo-keypoint RKHS Learning for Self-supervised 6DoF Pose Estimation	Unknown	PDF	N/A
M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models	Unknown	PDF	N/A
Responsible Visual Editing	Unknown	PDF	N/A
Consistent 3D Line Mapping	Unknown	PDF	N/A
Distributed Active Client Selection With Noisy Clients Using Model Association Scores	Unknown	PDF	N/A
PixOOD: Pixel-Level Out-of-Distribution Detection	Unknown	PDF	N/A
SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving	Unknown	PDF	N/A
ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation	Unknown	PDF	N/A
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?	Unknown	PDF	N/A
Editable Image Elements for Controllable Synthesis	Unknown	PDF	N/A
General Geometry-aware Weakly Supervised 3D Object Detection	Unknown	PDF	N/A
F-HOI: Toward Fine-grained Semantic-Aligned 3D Human-Object Interactions	Unknown	PDF	N/A
SCPNet: Unsupervised Cross-modal Homography Estimation via Intra-modal Self-supervised Learning	Unknown	PDF	N/A
EA-VTR: Event-Aware Video-Text Retrieval	Unknown	PDF	N/A
GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns	Unknown	PDF	N/A
POA: Pre-training Once for Models of All Sizes	Unknown	PDF	N/A
Towards a Density Preserving Objective Function for Learning on Point Sets	Unknown	PDF	N/A
VF-NeRF: Viewshed Fields for Rigid NeRF Registration	Unknown	PDF	N/A
RSL-BA: Rolling Shutter Line Bundle Adjustment	Unknown	PDF	N/A
Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction	Unknown	PDF	N/A
Trainable Highly-expressive Activation Functions	Unknown	PDF	N/A
MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation	Unknown	PDF	N/A
RealViformer: Investigating Attention for Real-World Video Super-Resolution	Unknown	PDF	N/A
Do text-free diffusion models learn discriminative visual representations?	Unknown	PDF	N/A
Part2Object: Hierarchical Unsupervised 3D Instance Segmentation	Unknown	PDF	N/A
Clearer Frames, Anytime: Resolving Velocity Ambiguity in Video Frame Interpolation	Unknown	PDF	N/A
Training-Free Model Merging for Multi-target Domain Adaptation	Unknown	PDF	N/A
MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing	Unknown	PDF	N/A
OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation	Unknown	PDF	N/A
Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models	Unknown	PDF	N/A
Instant 3D Human Avatar Generation using Image Diffusion Models	Unknown	PDF	N/A
MotionDirector: Motion Customization of Text-to-Video Diffusion Models	Unknown	PDF	N/A
DOCCI: Descriptions of Connected and Contrasting Images	Unknown	PDF	N/A
Drag Anything: Motion Control for Anything using Entity Representation	Unknown	PDF	N/A
RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception	Unknown	PDF	N/A
ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction	Unknown	PDF	N/A
A Rotation-invariant Texture ViT for Fine-Grained Recognition of Esophageal Cancer Endoscopic Ultrasound Images	Unknown	PDF	N/A
EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks	Unknown	PDF	N/A
AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild	Unknown	PDF	N/A
ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition	Unknown	PDF	N/A
LogoSticker: Inserting Logos into Diffusion Models for Customized Generation	Unknown	PDF	N/A
R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection	Unknown	PDF	N/A
McGrids: Monte Carlo-Driven Adaptive Grids for Iso-Surface Extraction	Unknown	PDF	N/A
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving	Unknown	PDF	N/A
LEROjD: Lidar Extended Radar-Only Object Detection	Unknown	PDF	N/A
ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation	Unknown	PDF	N/A
Probabilistic Image-Driven Traffic Modeling via Remote Sensing	Unknown	PDF	N/A
VideoStudio: Generating Consistent-Content and Multi-Scene Videos	Unknown	PDF	N/A
Semantic Residual Prompts for Continual Learning	Unknown	PDF	N/A
EgoExo-Fitness: Towards Egocentric and Exocentric Full-Body Action Understanding	Unknown	PDF	N/A
DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation	Unknown	PDF	N/A
TransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds	Unknown	PDF	N/A
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection	Unknown	PDF	N/A
Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities	Unknown	PDF	N/A
Occupancy as Set of Points	Unknown	PDF	N/A
UAV First-Person Viewers Are Radiance Field Learners	Unknown	PDF	N/A
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching	Unknown	PDF	N/A
A Fair Ranking and New Model for Panoptic Scene Graph Generation	Unknown	PDF	N/A
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection	Unknown	PDF	N/A
DyFADet: Dynamic Feature Aggregation for Temporal Action Detection	Unknown	PDF	N/A
Knowledge-enhanced Visual-Language Pretraining for Computational Pathology	Unknown	PDF	N/A
Pick-a-back: Selective Device-to-Device Knowledge Transfer in Federated Continual Learning	Unknown	PDF	N/A
Situated Instruction Following	Unknown	PDF	N/A
M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions	Unknown	PDF	N/A
FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance	Unknown	PDF	N/A
Holodepth: Programmable Depth-Varying Projection via Computer-Generated Holography	Unknown	PDF	N/A
Efficient Diffusion Transformer with Step-wise Dynamic Attention Mediators	Unknown	PDF	N/A
Champ: Controllable and Consistent Human Image Animation with 3D Parametric Guidance	Unknown	PDF	N/A
GalLop: Learning global and local prompts for vision-language models	Unknown	PDF	N/A
Depth on Demand: Streaming Dense Depth from a Low Frame Rate Active Sensor	Unknown	PDF	N/A
Two-Stage Video Shadow Detection via Temporal-Spatial Adaption	Unknown	PDF	N/A
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields	Unknown	PDF	N/A
Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization	Unknown	PDF	N/A
Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation	Unknown	PDF	N/A
Lossy Image Compression with Foundation Diffusion Models	Unknown	PDF	N/A
UniM2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving	Unknown	PDF	N/A
CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation	Unknown	PDF	N/A
FMBoost: Boosting Latent Diffusion with Flow Matching	Unknown	PDF	N/A
Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection	Unknown	PDF	N/A
M^2Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation	Unknown	PDF	N/A
Shifted Autoencoders for Point Annotation Restoration in Object Counting	Unknown	PDF	N/A
An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes	Unknown	PDF	N/A
Kernel Diffusion: An Alternate Approach to Blind Deconvolution	Unknown	PDF	N/A
FoundPose: Unseen Object Pose Estimation with Foundation Features	Unknown	PDF	N/A
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration	Unknown	PDF	N/A
Diffusion Models as Data Mining Tools	Unknown	PDF	N/A
Graph Neural Network Causal Explanation via Neural Causal Models	Unknown	PDF	N/A
SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather	Unknown	PDF	N/A
SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models	Unknown	PDF	N/A
PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology	Unknown	PDF	N/A
Improving Adversarial Transferability via Model Alignment	Unknown	PDF	N/A
RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios	Unknown	PDF	N/A
ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation	Unknown	PDF	N/A
Embodied Understanding of Driving Scenarios	Unknown	PDF	N/A
NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation	Unknown	PDF	N/A
ViLA: Efficient Video-Language Alignment for Video Question Answering	Unknown	PDF	N/A
OpenIns3D: Snap and Lookup for 3D Open-vocabulary Instance Segmentation	Unknown	PDF	N/A
Factorizing Text-to-Video Generation by Explicit Image Conditioning	Unknown	PDF	N/A
MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices	Unknown	PDF	N/A
Open-Set Biometrics: Beyond Good Closed-Set Models	Unknown	PDF	N/A
Osmosis: RGBD Diffusion Prior for Underwater Image Restoration	Unknown	PDF	N/A
Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization	Unknown	PDF	N/A
Computing the Lipschitz constant needed for fast scene recovery from CASSI measurements	Unknown	PDF	N/A
DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields	Unknown	PDF	N/A
Flowed Time of Flight Radiance Fields	Unknown	PDF	N/A
Cut out the Middleman: Revisiting Pose-based Gait Recognition	Unknown	PDF	N/A
3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing	Unknown	PDF	N/A
Fast Registration of Photorealistic Avatars for VR Facial Animation	Unknown	PDF	N/A
CoPT: Unsupervised Domain Adaptive Segmentation using Domain-Agnostic Text Embeddings	Unknown	PDF	N/A
HiFi-Score: Fine-grained Image Description Evaluation with Hierarchical Parsing Graphs	Unknown	PDF	N/A
FedHARM: Harmonizing Model Architectural Diversity in Federated Learning	Unknown	PDF	N/A
Thinking Outside the BBox: Unconstrained Generative Object Compositing	Unknown	PDF	N/A
EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS	Unknown	PDF	N/A
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance	Unknown	PDF	N/A
TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving	Unknown	PDF	N/A
RT-Pose: A 4D Radar-Tensor based 3D Human Pose Estimation and Localization Benchmark	Unknown	PDF	N/A
EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models	Unknown	PDF	N/A
RICA^2: Rubric-Informed, Calibrated Assessment of Actions	Unknown	PDF	N/A
Commonly Interesting Images	Unknown	PDF	N/A
Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities	Unknown	PDF	N/A
CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching	Unknown	PDF	N/A
Caltech Aerial RGB-Thermal Dataset in the Wild	Unknown	PDF	N/A
Diffusion Soup: Model Merging for Text-to-Image Diffusion Models	Unknown	PDF	N/A
CityGuessr: City-Level Video Geo-Localization on a Global Scale	Unknown	PDF	N/A
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations	Unknown	PDF	N/A
Revising Densification in Gaussian Splatting	Unknown	PDF	N/A
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing	Unknown	PDF	N/A
Text Motion Translator: A Bi-Directional Model for Enhanced 3D Human Motion Generation from Open-Vocabulary Descriptions	Unknown	PDF	N/A
UL-VIO: Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time Adaptation	Unknown	PDF	N/A
PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis	Unknown	PDF	N/A
A Graph-Based Approach for Category-Agnostic Pose Estimation	Unknown	PDF	N/A
Depth-guided NeRF Training via Earth Mover’s Distance	Unknown	PDF	N/A
INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding	Unknown	PDF	N/A
DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks	Unknown	PDF	N/A
Diagnosing and Re-learning for Balanced Multimodal Learning	Unknown	PDF	N/A
Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time	Unknown	PDF	N/A
Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders	Unknown	PDF	N/A
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration	Unknown	PDF	N/A
BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion	Unknown	PDF	N/A
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning	Unknown	PDF	N/A
Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs	Unknown	PDF	N/A
Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data	Unknown	PDF	N/A
AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation	Unknown	PDF	N/A
CARB-Net: Camera-Assisted Radar-Based Network for Vulnerable Road User Detection	Unknown	PDF	N/A
SAH-SCI: Self-Supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging	Unknown	PDF	N/A
Minimalist Vision with Freeform Pixels	Unknown	PDF	N/A
All You Need is Your Voice: Emotional Face Representation with Audio Perspective for Emotional Talking Face Generation	Unknown	PDF	N/A
LatentEditor: Text Driven Local Editing of 3D Scenes	Unknown	PDF	N/A
POET: Prompt Offset Tuning for Continual Human Action Adaptation	Unknown	PDF	N/A
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers	Unknown	PDF	N/A
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs	Unknown	PDF	N/A
TrafficNight : An Aerial Multimodal Benchmark For Nighttime Vehicle Surveillance	Unknown	PDF	N/A
Towards Open Domain Text-Driven Synthesis of Multi-Person Motions	Unknown	PDF	N/A
Loc3Diff: Local Diffusion for 3D Human Head Synthesis and Editing	Unknown	PDF	N/A
Generative End-to-End Autonomous Driving	Unknown	PDF	N/A
Learning to Distinguish Samples for Generalized Category Discovery	Unknown	PDF	N/A
COM Kitchens: An Unedited Overhead-view Procedural Videos Dataset a Vision-Language Benchmark	Unknown	PDF	N/A
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem	Unknown	PDF	N/A
WBP: Training-time Backdoor Attacks through Hardware-based Weight Bit Poisoning	Unknown	PDF	N/A
Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practice	Unknown	PDF	N/A
Encapsulating Knowledge in One Prompt	Unknown	PDF	N/A
Delving into Adversarial Robustness on Document Tampering Localization	Unknown	PDF	N/A
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing	Unknown	PDF	N/A
Confidence-Based Iterative Generation for Real-World Image Super-Resolution	Unknown	PDF	N/A
Seeing Faces in Things: A Model and Dataset for Pareidolia	Unknown	PDF	N/A
Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering	Unknown	PDF	N/A
AMD: Automatic Multi-step Distillation of Large-scale Vision Models	Unknown	PDF	N/A
FairViT: Fair Vision Transformer via Adaptive Masking	Unknown	PDF	N/A
VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks	Unknown	PDF	N/A
Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation	Unknown	PDF	N/A
HVCLIP: High-dimensional Vector in CLIP for Unsupervised Domain Adaptation	Unknown	PDF	N/A
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data	Unknown	PDF	N/A
Expanding Scene Graph Boundaries: Fully Open-vocabulary Scene Graph Generation via Visual-Concept Alignment and Retention	Unknown	PDF	N/A
MART: MultiscAle Relational Transformer Networks for Multi-agent Trajectory Prediction	Unknown	PDF	N/A
Investigating Style Similarity in Diffusion Models	Unknown	PDF	N/A
JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention	Unknown	PDF	N/A
MagicMirror: Fast and High-Quality Avatar Generation with Constrained Search Space	Unknown	PDF	N/A
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification	Unknown	PDF	N/A
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision	Unknown	PDF	N/A
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors	Unknown	PDF	N/A
GTMS: A Gradient-driven Tree-guided Mask-free Referring Image Segmentation Method	Unknown	PDF	N/A
SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction	Unknown	PDF	N/A
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving	Unknown	PDF	N/A
Leveraging Text Localization for Scene Text Removal via Text-aware Masked Image Modeling	Unknown	PDF	N/A
Unmasking Bias in Diffusion Model Training	Unknown	PDF	N/A
Multimodal Label Relevance Ranking via Reinforcement Learning	Unknown	PDF	N/A
A Simple Background Augmentation Method for Object Detection with Diffusion Model	Unknown	PDF	N/A
BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events	Unknown	PDF	N/A
A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization	Unknown	PDF	N/A
Deep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation	Unknown	PDF	N/A
Sparse Refinement for Efficient High-Resolution Semantic Segmentation	Unknown	PDF	N/A
Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion	Unknown	PDF	N/A
An Explainable Vision Question Answer Model via Diffusion Chain-of-Thought	Unknown	PDF	N/A
Fast Sprite Decomposition from Animated Graphics	Unknown	PDF	N/A
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection	Unknown	PDF	N/A
IRSAM: Advancing Segment Anything Model for Infrared Small Target Detection	Unknown	PDF	N/A
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation	Unknown	PDF	N/A
Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translation	Unknown	PDF	N/A
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs	Unknown	PDF	N/A
UGG: Unified Generative Grasping	Unknown	PDF	N/A
A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures	Unknown	PDF	N/A
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation	Unknown	PDF	N/A
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt	Unknown	PDF	N/A
GAMMA-FACE: GAussian Mixture Models Amend Diffusion Models for Bias Mitigation in Face Images	Unknown	PDF	N/A
Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation	Unknown	PDF	N/A
Training-free Composite Scene Generation for Layout-to-Image Synthesis	Unknown	PDF	N/A
Robustness Preserving Fine-tuning using Neuron Importance	Unknown	PDF	N/A
ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation	Unknown	PDF	N/A
PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation	Unknown	PDF	N/A
Similarity of Neural Architectures using Adversarial Attack Transferability	Unknown	PDF	N/A
Dual-Rain: Video Rain Removal using Assertive and Gentle Teachers	Unknown	PDF	N/A
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation	Unknown	PDF	N/A
Unsupervised Variational Translator for Bridging Image Restoration and High-Level Vision Tasks	Unknown	PDF	N/A
Fast Point Cloud Geometry Compression with Context-based Residual Coding and INR-based Refinement	Unknown	PDF	N/A
Scene-Conditional 3D Object Stylization and Composition	Unknown	PDF	N/A
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning	Unknown	PDF	N/A
Revisit Anything: Visual Place Recognition via Image Segment Retrieval	Unknown	PDF	N/A
Semantic Diversity-aware Prototype-based Learning for Unbiased Scene Graph Generation	Unknown	PDF	N/A
DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation	Unknown	PDF	N/A
Self-Guided Generation of Minority Samples Using Diffusion Models	Unknown	PDF	N/A
DEVIAS: Learning Disentangled Video Representations of Action and Scene	Unknown	PDF	N/A
RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting	Unknown	PDF	N/A
Class-Agnostic Object Counting with Text-to-Image Diffusion Model	Unknown	PDF	N/A
Mask2Map: Vectorized HD Map Construction Using Bird's Eye View Segmentation Masks	Unknown	PDF	N/A
Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme	Unknown	PDF	N/A
Masked Generative Video-to-Audio Transformers with Enhanced Synchronicity	Unknown	PDF	N/A
Information Bottleneck Based Data Correction in Continual Learning	Unknown	PDF	N/A
A Watermark-Conditioned Diffusion Model for IP Protection	Unknown	PDF	N/A
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation	Unknown	PDF	N/A
SAFT: Towards Out-of-Distribution Generalization in Fine-Tuning	Unknown	PDF	N/A
FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion	Unknown	PDF	N/A
Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation	Unknown	PDF	N/A
On Spectral Properties of Gradient-based Explanation Methods	Unknown	PDF	N/A
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation	Unknown	PDF	N/A
Generalizing to Unseen Domains via Text-guided Augmentation	Unknown	PDF	N/A
Contextual Correspondence Matters: Bidirectional Graph Matching for Video Summarization	Unknown	PDF	N/A
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation	Unknown	PDF	N/A
Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models	Unknown	PDF	N/A
Zero-shot Text-guided Infinite Image Synthesis with LLM guidance	Unknown	PDF	N/A
Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution	Unknown	PDF	N/A
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model	Unknown	PDF	N/A
Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization	Unknown	PDF	N/A
Adaptive Multi-head Contrastive Learning	Unknown	PDF	N/A
Rotated Orthographic Projection for Self-Supervised 3D Human Pose Estimation	Unknown	PDF	N/A
Easing 3D Pattern Reasoning with Side-view Features for Semantic Scene Completion	Unknown	PDF	N/A
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets	Unknown	PDF	N/A
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression	Unknown	PDF	N/A
Adaptive Annealing for Robust Averaging	Unknown	PDF	N/A
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery	Unknown	PDF	N/A
High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse Rendering	Unknown	PDF	N/A
Early Anticipation of Driving Maneuvers	Unknown	PDF	N/A
SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization	Unknown	PDF	N/A
On the Evaluation Consistency of Attribution-based Explanations	Unknown	PDF	N/A
Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation	Unknown	PDF	N/A
InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction	Unknown	PDF	N/A
DreamReward: Aligning Human Preference in Text-to-3D Generation	Unknown	PDF	N/A
Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos	Unknown	PDF	N/A
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders	Unknown	PDF	N/A
Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic Graph	Unknown	PDF	N/A
VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models	Unknown	PDF	N/A
Learning a Dynamic Privacy-preserving Camera Robust to Inversion Attacks	Unknown	PDF	N/A
CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches	Unknown	PDF	N/A
Towards Image Ambient Lighting Normalization	Unknown	PDF	N/A
FedHide: Federated Learning by Hiding in the Neighbors	Unknown	PDF	N/A
Self-Cooperation Knowledge Distillation for Novel Class Discovery	Unknown	PDF	N/A
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery	Unknown	PDF	N/A
EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding	Unknown	PDF	N/A
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection	Unknown	PDF	N/A
Are Synthetic Data Useful for Egocentric Hand-Object Interaction Detection?	Unknown	PDF	N/A
A Comparative Study of Image Restoration Networks for General Backbone Network Design	Unknown	PDF	N/A
HoloADMM: High-Quality Holographic Complex Field Recovery	Unknown	PDF	N/A
Synthesizing Time-varying BRDFs via Latent Space	Unknown	PDF	N/A
Fundamental Matrix Estimation Using Relative Depths	Unknown	PDF	N/A
MTaDCS: Moving Trace and Feature Density-based Confidence Sample Selection under Label Noise	Unknown	PDF	N/A
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis	Unknown	PDF	N/A
DataDream: Few-shot Guided Dataset Generation	Unknown	PDF	N/A
LPViT: Low-Power Semi-structured Pruning for Vision Transformers	Unknown	PDF	N/A
Weighted Ensemble Models Are Strong Continual Learners	Unknown	PDF	N/A
GGRt: Towards Generalizable 3D Gaussians without Pose Priors in Real-Time	Unknown	PDF	N/A
Learning Equilibrium Transformation for Gamut Expansion and Color Restoration	Unknown	PDF	N/A
Physics-informed Knowledge Transfer for Underwater Monocular Depth Estimation	Unknown	PDF	N/A
Robust Nearest Neighbors for Source-Free Domain Adaptation under Class Distribution Shift	Unknown	PDF	N/A
Chains of Diffusion Models	Unknown	PDF	N/A
Feature Diversification and Adaptation for Federated Domain Generalization	Unknown	PDF	N/A
TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling	Unknown	PDF	N/A
Dataset Distillation by Automatic Training Trajectories	Unknown	PDF	N/A
RoDUS: Robust Decomposition of Static and Dynamic Elements in Urban Scenes	Unknown	PDF	N/A
RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection	Unknown	PDF	N/A
Learning Neural Deformation Representation for 4D Dynamic Shape Generation	Unknown	PDF	N/A
Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs	Unknown	PDF	N/A
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models	Unknown	PDF	N/A
Domain Shifting: A Generalized Solution for Heterogeneous Cross-Modality Person Re-Identification	Unknown	PDF	N/A
Self-Supervised Video Desmoking for Laparoscopic Surgery	Unknown	PDF	N/A
Removing Rows and Columns of Tokens in Vision Transformer enables Faster Dense Prediction without Retraining	Unknown	PDF	N/A
Continuity Preserving Online CenterLine Graph Learning	Unknown	PDF	N/A
Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping	Unknown	PDF	N/A
MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflections	Unknown	PDF	N/A
Leveraging Representations from Intermediate Encoder-blocks for Synthetic Image Detection	Unknown	PDF	N/A
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking	Unknown	PDF	N/A
HSR: Holistic 3D Human-Scene Reconstruction from Monocular Videos	Unknown	PDF	N/A
Online Video Quality Enhancement with Spatial-Temporal Look-up Tables	Unknown	PDF	N/A
PARIS3D: Reasoning-based 3D Part Segmentation Using Large Multimodal Model	Unknown	PDF	N/A
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance	Unknown	PDF	N/A
Oulu Remote-photoplethysmography Physical Domain Attacks Database (ORPDAD)	Unknown	PDF	N/A
Leveraging Imperfect Restoration for Data Availability Attack	Unknown	PDF	N/A
DoubleTake: Geometry Guided Depth Estimation	Unknown	PDF	N/A
Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL	Unknown	PDF	N/A
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models	Unknown	PDF	N/A
Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition	Unknown	PDF	N/A
HiFi-123: Towards High-fidelity One Image to 3D Content Generation	Unknown	PDF	N/A
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View	Unknown	PDF	N/A
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation	Unknown	PDF	N/A
FRDiff : Feature Reuse for Universal Training-free Acceleration of Diffusion Models	Unknown	PDF	N/A
Möbius Transform for Mitigating Perspective Distortions in Representation Learning	Unknown	PDF	N/A
TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection	Unknown	PDF	N/A
CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction	Unknown	PDF	N/A
Continual Learning and Unknown Object Discovery in 3D Scenes via Self-Distillation	Unknown	PDF	N/A
DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting	Unknown	PDF	N/A
Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking	Unknown	PDF	N/A
Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection	Unknown	PDF	N/A
Region-Native Visual Tokenization	Unknown	PDF	N/A
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven Initialization	Unknown	PDF	N/A
Diffusion for Out-of-Distribution Detection on Road Scenes and Beyond	Unknown	PDF	N/A
Rethinking Directional Parameterization in Neural Implicit Surface Reconstruction	Unknown	PDF	N/A
A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessment	Unknown	PDF	N/A
Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes	Unknown	PDF	N/A
DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling	Unknown	PDF	N/A
Multi-modal Crowd Counting via a Broker Modality	Unknown	PDF	N/A
FastPCI: Motion-Structure Guided Fast Point Cloud Frame Interpolation	Unknown	PDF	N/A
Made to Order: Discovering monotonic temporal changes via self-supervised video ordering	Unknown	PDF	N/A
MeshVPR: Citywide Visual Place Recognition Using 3D Meshes	Unknown	PDF	N/A
Can Textual Semantics Mitigate Sounding Object Segmentation Preference?	Unknown	PDF	N/A
ViPer: Visual Personalization of Generative Models via Individual Preference Learning	Unknown	PDF	N/A
MLPHand: Real Time Multi-View 3D Hand Reconstruction via MLP Modeling	Unknown	PDF	N/A
LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model	Unknown	PDF	N/A
How Far Can a 1-Pixel Camera Go? Solving Vision Tasks using Photoreceptors and Computationally Designed Visual Morphology	Unknown	PDF	N/A
MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models	Unknown	PDF	N/A
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations	Unknown	PDF	N/A
Self-supervised visual learning from interactions with objects	Unknown	PDF	N/A
OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation	Unknown	PDF	N/A
BAFFLE: A Baseline of Backpropagation-Free Federated Learning	Unknown	PDF	N/A
OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects	Unknown	PDF	N/A
Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking	Unknown	PDF	N/A
Diverse Text-to-3D Synthesis with Augmented Text Embedding	Unknown	PDF	N/A
LLMCO4MR: LLMs-aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang	Unknown	PDF	N/A
AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems	Unknown	PDF	N/A
SphereHead: Stable 3D Full-head Synthesis with Spherical Tri-plane Representation	Unknown	PDF	N/A
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier	Unknown	PDF	N/A
Enhanced Sparsification via Stimulative Training	Unknown	PDF	N/A
Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network	Unknown	PDF	N/A
FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models	Unknown	PDF	N/A
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation	Unknown	PDF	N/A
WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding	Unknown	PDF	N/A
Spiking Wavelet Transformer	Unknown	PDF	N/A
WAVE: Warping DDIM Inversion Features for Zero-shot Text-to-Video Editing	Unknown	PDF	N/A
PDT Uav Target Detection Dataset for Pests and Diseases Tree	Unknown	PDF	N/A
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection	Unknown	PDF	N/A
COD: Learning Conditional Invariant Representation for Domain Adaptation Regression	Unknown	PDF	N/A
RANRAC: Robust Neural Scene Representations via Random Ray Consensus	Unknown	PDF	N/A
LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model	Unknown	PDF	N/A
Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding	Unknown	PDF	N/A
SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks	Unknown	PDF	N/A
DQ-DETR: DETR with Dynamic Query for Tiny Object Detection	Unknown	PDF	N/A
SWAG: Splatting in the Wild images with Appearance-conditioned Gaussians	Unknown	PDF	N/A
Gaussian in the wild: 3D Gaussian Splatting for Unconstrained Image Collections	Unknown	PDF	N/A
Few-shot Defect Image Generation based on Consistency Modeling	Unknown	PDF	N/A
CLIP-DPO: Vision-Language Models as a Source of Preference for Fixing Hallucinations in LVLMs	Unknown	PDF	N/A
Video Editing via Factorized Diffusion Distillation	Unknown	PDF	N/A
Trackastra: Transformer-based cell tracking for live-cell microscopy	Unknown	PDF	N/A
SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers	Unknown	PDF	N/A
Learn to Memorize and to Forget: A Continual Learning Perspective of Dynamic SLAM	Unknown	PDF	N/A
Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation	Unknown	PDF	N/A
GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring	Unknown	PDF	N/A
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring	Unknown	PDF	N/A
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion	Unknown	PDF	N/A
Curved Diffusion: A Generative Model With Optical Geometry Control	Unknown	PDF	N/A
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning	Unknown	PDF	N/A
OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation	Unknown	PDF	N/A
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures	Unknown	PDF	N/A
Conceptual Codebook Learning for Vision-Language Models	Unknown	PDF	N/A
AnimateMe: 4D Facial Expressions via Diffusion Models	Unknown	PDF	N/A
LingoQA: Video Question Answering for Autonomous Driving	Unknown	PDF	N/A
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning	Unknown	PDF	N/A
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis	Unknown	PDF	N/A
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention	Unknown	PDF	N/A
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors	Unknown	PDF	N/A
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning	Unknown	PDF	N/A
Context Diffusion: In-Context Aware Image Generation	Unknown	PDF	N/A
Pose Guided Fine-Grained Sign Language Video Generation	Unknown	PDF	N/A
RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos	Unknown	PDF	N/A
Certifiably Robust Image Watermark	Unknown	PDF	N/A
Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery	Unknown	PDF	N/A
Online Zero-Shot Classification with CLIP	Unknown	PDF	N/A
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning	Unknown	PDF	N/A
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents	Unknown	PDF	N/A
BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues	Unknown	PDF	N/A
Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder	Unknown	PDF	N/A
Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance	Unknown	PDF	N/A
3D Reconstruction of Objects in Hands without Real World 3D Supervision	Unknown	PDF	N/A
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning	Unknown	PDF	N/A
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops	Unknown	PDF	N/A
Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer	Unknown	PDF	N/A
Optimization-based Uncertainty Attribution Via Learning Informative Perturbations	Unknown	PDF	N/A
Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency	Unknown	PDF	N/A
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling	Unknown	PDF	N/A
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks	Unknown	PDF	N/A
Explorative Inbetweening of Time and Space	Unknown	PDF	N/A
A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-skeletal Control	Unknown	PDF	N/A
Learning to Make Keypoints Sub-Pixel Accurate	Unknown	PDF	N/A
Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images	Unknown	PDF	N/A
Generalizable Human Gaussians for Sparse View Synthesis	Unknown	PDF	N/A
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off	Unknown	PDF	N/A
GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction	Unknown	PDF	N/A
AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation	Unknown	PDF	N/A
PFedEdit: Personalized Federated Learning via Automated Model Editing	Unknown	PDF	N/A
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation	Unknown	PDF	N/A
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models	Unknown	PDF	N/A
Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas	Unknown	PDF	N/A
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos	Unknown	PDF	N/A
Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers’ Opinion Scores	Unknown	PDF	N/A
MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception	Unknown	PDF	N/A
EpipolarGAN: Omnidirectional Image Synthesis with Explicit Camera Control	Unknown	PDF	N/A
Photorealistic Video Generation with Diffusion Models	Unknown	PDF	N/A
RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement	Unknown	PDF	N/A
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models	Unknown	PDF	N/A
Object-Aware Query Perturbation for Cross-Modal Image-Text Retrieval	Unknown	PDF	N/A
Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding	Unknown	PDF	N/A
Self-Supervised Audio-Visual Soundscape Stylization	Unknown	PDF	N/A
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning	Unknown	PDF	N/A
Source-Free Domain-Invariant Performance Prediction	Unknown	PDF	N/A
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures	Unknown	PDF	N/A
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort	Unknown	PDF	N/A
Direct Distillation between Different Domains	Unknown	PDF	N/A
GRiT: A Generative Region-to-text Transformer for Object Understanding	Unknown	PDF	N/A
LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System	Unknown	PDF	N/A
Learning Representation for Multitask Learning through Self-Supervised Auxiliary Learning	Unknown	PDF	N/A
Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending	Unknown	PDF	N/A
Geometry Fidelity for Spherical Images	Unknown	PDF	N/A
BAGS: Blur Agnostic Gaussian Splatting through Multi-Scale Kernel Modeling	Unknown	PDF	N/A
CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning	Unknown	PDF	N/A
Free-Editor: Zero-shot Text-driven 3D Scene Editing	Unknown	PDF	N/A
DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly	Unknown	PDF	N/A
An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation	Unknown	PDF	N/A
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models	Unknown	PDF	N/A
Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation	Unknown	PDF	N/A
Generalizable Symbolic Optimizer Learning	Unknown	PDF	N/A
Tackling Structural Hallucination in Image Translation with Local Diffusion	Unknown	PDF	N/A
Unified Medical Image Pre-training in Language-Guided Common Semantic Space	Unknown	PDF	N/A
On the Vulnerability of Skip Connections to Model Inversion Attacks	Unknown	PDF	N/A
Comprehensive Attribution: Inherently Explainable Vision Model with Feature Detector	Unknown	PDF	N/A
Reinforcement Learning via Auxillary Task Distillation	Unknown	PDF	N/A
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation	Unknown	PDF	N/A
View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields	Unknown	PDF	N/A
Plug and Play: A Representation Enhanced Domain Adapter for Collaborative Perception	Unknown	PDF	N/A
Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models	Unknown	PDF	N/A
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay	Unknown	PDF	N/A
Fairness-aware Vision Transformer via Debiased Self-Attention	Unknown	PDF	N/A
Remove Projective LiDAR Depthmap Artifacts via Exploiting Epipolar Geometry	Unknown	PDF	N/A
Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection	Unknown	PDF	N/A
Training-free Video Temporal Grounding using Large-scale Pre-trained Models	Unknown	PDF	N/A
Efficient Learning of Event-based Dense Representation using Hierarchical Memories with Adaptive Update	Unknown	PDF	N/A
SNP: Structured Neuron-level Pruning to Preserve Attention Scores	Unknown	PDF	N/A
PALM: Predicting Actions through Language Models	Unknown	PDF	N/A
Motion Keyframe Interpolation for Any Human Skeleton using Point Cloud-based Human Motion Data Homogenisation	Unknown	PDF	N/A
Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment	Unknown	PDF	N/A
SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher	Unknown	PDF	N/A
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization	Unknown	PDF	N/A
VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG	Unknown	PDF	N/A
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose	Unknown	PDF	N/A
Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense	Unknown	PDF	N/A
Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics	Unknown	PDF	N/A
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation	Unknown	PDF	N/A
Depth-Aware Blind Image Decomposition for Real-World Adverse Weather Recovery	Unknown	PDF	N/A
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation	Unknown	PDF	N/A
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation	Unknown	PDF	N/A
PosterLlama: Bridging Design Ability of Langauge Model to Content-Aware Layout Generation	Unknown	PDF	N/A
PreciseControl: Enhancing Text-To-Image Diffusion Models with Fine-Grained Attribute Control	Unknown	PDF	N/A
LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation	Unknown	PDF	N/A
Efficient Training with Denoised Neural Weights	Unknown	PDF	N/A
Integration of Global and Local Representations for Fine-grained Cross-modal Alignment	Unknown	PDF	N/A
Local and Global Flatness for Federated Domain Generalization	Unknown	PDF	N/A
SRPose: Two-view Relative Pose Estimation with Sparse Keypoints	Unknown	PDF	N/A
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models	Unknown	PDF	N/A
Paying More Attention to Images: A Training-Free Method for Alleviating Hallucination in LVLMs	Unknown	PDF	N/A
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation	Unknown	PDF	N/A
Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering	Unknown	PDF	N/A
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions	Unknown	PDF	N/A
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement	Unknown	PDF	N/A
Efficient Vision Transformers with Partial Attention	Unknown	PDF	N/A
Generalized Coverage for More Robust Low-Budget Active Learning	Unknown	PDF	N/A
Rasterized Edge Gradients: Handling Discontinuities Differentially	Unknown	PDF	N/A
Kinetic Typography Diffusion Model	Unknown	PDF	N/A
Enhancing Cross-Subject fMRI-to-Video Decoding with Global-Local Functional Alignment	Unknown	PDF	N/A
ZeroI2V: Zero-Cost Adaptation of Pre-Trained Transformers from Image to Video	Unknown	PDF	N/A
Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems	Unknown	PDF	N/A
R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model	Unknown	PDF	N/A
OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection	Unknown	PDF	N/A
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion	Unknown	PDF	N/A
Data Poisoning Quantization Backdoor Attack	Unknown	PDF	N/A
T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy	Unknown	PDF	N/A
DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition	Unknown	PDF	N/A
A high-quality robust diffusion framework for corrupted dataset	Unknown	PDF	N/A
Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning	Unknown	PDF	N/A
Distilling Knowledge from Large-Scale Image Models for Object Detection	Unknown	PDF	N/A
Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection	Unknown	PDF	N/A
TimeLens-XL: Real-time Event-based Video Frame Interpolation with Large Motion	Unknown	PDF	N/A
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection	Unknown	PDF	N/A
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets	Unknown	PDF	N/A
Unsupervised Representation Learning by Balanced Self Attention Matching	Unknown	PDF	N/A
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging	Unknown	PDF	N/A
Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation	Unknown	PDF	N/A
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation	Unknown	PDF	N/A
Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation	Unknown	PDF	N/A
SCOD: From Heuristics to Theory	Unknown	PDF	N/A
Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts	Unknown	PDF	N/A
Teach CLIP to Develop a Number Sense for Ordinal Regression	Unknown	PDF	N/A
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation	Unknown	PDF	N/A
Compact 3D Scene Representation via Self-Organizing Gaussian Grids	Unknown	PDF	N/A
VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking	Unknown	PDF	N/A
SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes	Unknown	PDF	N/A
Beyond Prompt Learning: Continual Adapter for Efficient Rehearsal-Free Continual Learning	Unknown	PDF	N/A
T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models	Unknown	PDF	N/A
Towards Certifiably Robust Face Recognition	Unknown	PDF	N/A
Linking in Style: Understanding learned features in deep learning models	Unknown	PDF	N/A
Stable Video Portraits	Unknown	PDF	N/A
CliffPhys: Camera-based Respiratory Measurement using Clifford Neural Networks	Unknown	PDF	N/A
Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network	Unknown	PDF	N/A
PDiscoFormer: Relaxing Part Discovery Constraints with Vision Transformers	Unknown	PDF	N/A
Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator	Unknown	PDF	N/A
SHIC: Shape-Image Correspondences with no Keypoint Supervision	Unknown	PDF	N/A
Vision-Language Dual-Pattern Matching for Out-of-Distribution Detection	Unknown	PDF	N/A
Weight Conditioning for Smooth Optimization of Neural Networks	Unknown	PDF	N/A
Energy-Clibrated VAE with Test Time Free Lunch	Unknown	PDF	N/A
SceneTeller: Language-to-3D Scene Generation	Unknown	PDF	N/A
MagMax: Leveraging Model Merging for Seamless Continual Learning	Unknown	PDF	N/A
Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition	Unknown	PDF	N/A
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding	Unknown	PDF	N/A
Debiasing surgeon: fantastic weights and how to find them	Unknown	PDF	N/A
Denoising Vision Transformers	Unknown	PDF	N/A
Differentiable Product Quantization for Memory Efficient Camera Relocalization	Unknown	PDF	N/A
Spline-based Transformers	Unknown	PDF	N/A
Learning Pseudo 3D Guidance for View-consistent Texturing with 2D Diffusion	Unknown	PDF	N/A
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data	Unknown	PDF	N/A
TreeSBA: Tree-Transformer for Self-Supervised Sequential Brick Assembly	Unknown	PDF	N/A
Efficient NeRF Optimization - Not All Samples Remain Equally Hard	Unknown	PDF	N/A
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models	Unknown	PDF	N/A
Catastrophic Overfitting: A Potential Blessing in Disguise	Unknown	PDF	N/A
Adversarial Diffusion Distillation	Unknown	PDF	N/A
Fake It till You Make It: Curricular Dynamic Forgery Augmentations towards General Deepfake Detection	Unknown	PDF	N/A
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts	Unknown	PDF	N/A
Explore the Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation	Unknown	PDF	N/A
A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis	Unknown	PDF	N/A
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models	Unknown	PDF	N/A
Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information	Unknown	PDF	N/A
Text-Conditioned Resampler For Long Form Video Understanding	Unknown	PDF	N/A
Using My Artistic Style? You Must Obtain My Authorization	Unknown	PDF	N/A
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation	Unknown	PDF	N/A
UMERegRobust – Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration	Unknown	PDF	N/A
Non-transferable Pruning	Unknown	PDF	N/A
A Compact Dynamic 3D Gaussian Representation for Real-Time Dynamic View Synthesis	Unknown	PDF	N/A
Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning	Unknown	PDF	N/A
Affine steerers for structured keypoint description	Unknown	PDF	N/A
FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving	Unknown	PDF	N/A
GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth	Unknown	PDF	N/A
EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding	Unknown	PDF	N/A
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers	Unknown	PDF	N/A
Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision	Unknown	PDF	N/A
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction	Unknown	PDF	N/A
HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions	Unknown	PDF	N/A
HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation	Unknown	PDF	N/A
InstructGIE: Towards Generalizable Image Editing	Unknown	PDF	N/A
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning	Unknown	PDF	N/A
CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models	Unknown	PDF	N/A
Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation	Unknown	PDF	N/A
Towards Scene Graph Anticipation	Unknown	PDF	N/A
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding	Unknown	PDF	N/A
NePhi: Neural Deformation Fields for Approximately Diffeomorphic Medical Image Registration	Unknown	PDF	N/A
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks	Unknown	PDF	N/A
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models	Unknown	PDF	N/A
DeTra: A Unified Model for Object Detection and Trajectory Forecasting	Unknown	PDF	N/A
ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems	Unknown	PDF	N/A
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction	Unknown	PDF	N/A
Common Sense Reasoning for Deep Fake Detection	Unknown	PDF	N/A
GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning	Unknown	PDF	N/A
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers	Unknown	PDF	N/A
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models	Unknown	PDF	N/A
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning	Unknown	PDF	N/A
Learning Multimodal Latent Generative Models with Energy-Based Prior	Unknown	PDF	N/A
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution	Unknown	PDF	N/A
Markov Knowledge Distillation: Make Nasty Teachers trained by Self-undermining Knowledge Distillation Fully Distillable	Unknown	PDF	N/A
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting	Unknown	PDF	N/A
Snuffy: Efficient Whole Slide Image Classifier	Unknown	PDF	N/A
Learning to Build by Building Your Own Instructions	Unknown	PDF	N/A
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling	Unknown	PDF	N/A
BlenderAlchemy: Editing 3D Graphics with Vision-Language Models	Unknown	PDF	N/A
CoTracker: It is Better to Track Together	Unknown	PDF	N/A
Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation	Unknown	PDF	N/A
Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning	Unknown	PDF	N/A
Improving Text-guided Object Inpainting with Semantic Pre-inpainting	Unknown	PDF	N/A
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views	Unknown	PDF	N/A
SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic	Unknown	PDF	N/A
LISO: Lidar-only Self-Supervised 3D Object Detection	Unknown	PDF	N/A
Frontier-enhanced Topological Memory with Improved Exploration Awareness for Embodied Visual Navigation	Unknown	PDF	N/A
Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-v2)	Unknown	PDF	N/A
LookupViT: Compressing visual information to a limited number of tokens	Unknown	PDF	N/A
Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization	Unknown	PDF	N/A
REDIR: Refocus-free Event-based De-occlusion Image Reconstruction	Unknown	PDF	N/A
Towards compact reversible image representations for neural style transfer	Unknown	PDF	N/A
InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping	Unknown	PDF	N/A
Exploring Vulnerabilities in Spiking Neural Networks: Direct Adversarial Attacks on Raw Event Data	Unknown	PDF	N/A
MRSP: Learn Multi-Representations of Single Primitive for Compositional Zero-Shot Learning	Unknown	PDF	N/A
GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity	Unknown	PDF	N/A
KDProR: A Knowledge-Decoupling Probabilistic Framework for Video-Text Retrieval	Unknown	PDF	N/A
The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?	Unknown	PDF	N/A
VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition	Unknown	PDF	N/A
Mask as Supervision: Leveraging Unified Mask Information for Unsupervised 3D Pose Estimation	Unknown	PDF	N/A
Better Regression Makes Better Test-time Adaptive 3D Object Detection	Unknown	PDF	N/A
Temporally Consistent Stereo Matching	Unknown	PDF	N/A
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling	Unknown	PDF	N/A
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy	Unknown	PDF	N/A
ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention	Unknown	PDF	N/A
Asynchronous Large Language Model Enhanced Planner for Autonomous Driving	Unknown	PDF	N/A
Benchmarking Spurious Bias in Few-Shot Image Classifiers	Unknown	PDF	N/A
Deep Companion Learning: Enhancing Generalization Through Historical Consistency	Unknown	PDF	N/A
WSI-VQA: Interpreting Whole Slide Images by Generative Visual Question Answering	Unknown	PDF	N/A
Straightforward Layer-wise Pruning for More Efficient Visual Adaptation	Unknown	PDF	N/A
ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting	Unknown	PDF	N/A
CrossScore: A Multi-View Approach to Image Evaluation and Scoring	Unknown	PDF	N/A
CPM: Class-conditional Prompting Machine for Audio-visual Segmentation	Unknown	PDF	N/A
DiffClass: Diffusion-Based Class Incremental Learning	Unknown	PDF	N/A
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning	Unknown	PDF	N/A
PromptFusion: Decoupling Stability and Plasticity for Continual Learning	Unknown	PDF	N/A
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation	Unknown	PDF	N/A
Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm	Unknown	PDF	N/A
PFGS: High Fidelity Point Cloud Rendering via Feature Splatting	Unknown	PDF	N/A
DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing	Unknown	PDF	N/A
Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework	Unknown	PDF	N/A
DA-BEV: Unsupervised Domain Adaptation for Bird's Eye View Perception	Unknown	PDF	N/A
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning	Unknown	PDF	N/A
Exploring the Feature Extraction and Relation Modeling For Light-Weight Transformer Tracking	Unknown	PDF	N/A
Data Augmentation via Latent Diffusion for Saliency Prediction	Unknown	PDF	N/A
PiTe: Pixel-Temporal Alignment for Large Video-Language Model	Unknown	PDF	N/A
3D Gaussian Parametric Head Model	Unknown	PDF	N/A
Dynamic Neural Radiance Field From Defocused Monocular Video	Unknown	PDF	N/A
Retargeting Visual Data with Deformation Fields	Unknown	PDF	N/A
Ray-Distance Volume Rendering for Neural Scene Reconstruction	Unknown	PDF	N/A
4Diff: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation	Unknown	PDF	N/A
Spike-Temporal Latent Representation for Energy-Efficient Event-to-Video Reconstruction	Unknown	PDF	N/A
Sur^2f: A Hybrid Representation for High-Quality and Efficient Surface Reconstruction from Multi-view Images	Unknown	PDF	N/A
ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion	Unknown	PDF	N/A
Realistic Human Motion Generation with Cross-Diffusion Models	Unknown	PDF	N/A
SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation	Unknown	PDF	N/A
Continuous Memory Representation for Anomaly Detection	Unknown	PDF	N/A
UniTalker: Scaling up Audio-Driven 3D Facial Animation through A Unified Model	Unknown	PDF	N/A
Diffusion Reward: Learning Rewards via Conditional Video Diffusion	Unknown	PDF	N/A
Efficient Depth-Guided Urban View Synthesis	Unknown	PDF	N/A
OneRestore: A Universal Restoration Framework for Composite Degradation	Unknown	PDF	N/A
Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention	Unknown	PDF	N/A
Beyond MOT: Semantic Multi-Object Tracking	Unknown	PDF	N/A
PartCraft: Crafting Creative Objects by Parts	Unknown	PDF	N/A
WordRobe: Text-Guided Generation of Textured 3D Garments	Unknown	PDF	N/A
ZeST: Zero-Shot Material Transfer from a Single Image	Unknown	PDF	N/A
AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation	Unknown	PDF	N/A
UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework	Unknown	PDF	N/A
Online Continuous Generalized Category Discovery	Unknown	PDF	N/A
AddMe: Zero-shot Group-photo Synthesis by Inserting People into Scenes	Unknown	PDF	N/A
Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos	Unknown	PDF	N/A
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning	Unknown	PDF	N/A
KFD-NeRF: Rethinking Dynamic NeRF with Kalman Filter	Unknown	PDF	N/A
MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo	Unknown	PDF	N/A
MC-PanDA: Mask Confidence for Panoptic Domain Adaptation	Unknown	PDF	N/A
GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting	Unknown	PDF	N/A
Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design	Unknown	PDF	N/A
BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation	Unknown	PDF	N/A
PRET: Planning with Directed Fidelity Trajectory for Vision and Language Navigation	Unknown	PDF	N/A
Rethinking Few-shot Class-incremental Learning: Learning from Yourself	Unknown	PDF	N/A
VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement	Unknown	PDF	N/A
STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning	Unknown	PDF	N/A
Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint	Unknown	PDF	N/A
AlignZeg: Mitigating Objective Misalignment for Zero-shot Semantic Segmentation	Unknown	PDF	N/A
UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding	Unknown	PDF	N/A
Long-CLIP: Unlocking the Long-Text Capability of CLIP	Unknown	PDF	N/A
RoGUENeRF: A Robust Geometry-Consistent Universal Enhancer for NeRF	Unknown	PDF	N/A
Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation	Unknown	PDF	N/A
FuseTeacher: Modality-fused Encoders are Strong Vision Supervisors	Unknown	PDF	N/A
MVDD: Multi-View Depth Diffusion Models	Unknown	PDF	N/A
Dataset Quantization with Active Learning based Adaptive Sampling	Unknown	PDF	N/A
Interpretability-Guided Test-Time Adversarial Defense	Unknown	PDF	N/A
Self-Supervised Representation Learning for Adversarial Attack Detection	Unknown	PDF	N/A
GroundUp: Rapid Sketch-Based 3D City Massing	Unknown	PDF	N/A
Photon Inhibition for Energy-Efficient Single-Photon Imaging	Unknown	PDF	N/A
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning	Unknown	PDF	N/A
Learning with Counterfactual Explanations for Radiology Report Generation	Unknown	PDF	N/A
Pseudo-Embedding for Generalized Few-Shot Point Cloud Segmentation	Unknown	PDF	N/A
Wavelet Convolutions for Large Receptive Fields	Unknown	PDF	N/A
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer	Unknown	PDF	N/A
Gradient-based Out-of-Distribution Detection	Unknown	PDF	N/A
Veil Privacy on Visual Data: Concealing Privacy for Humans, Unveiling for DNNs	Unknown	PDF	N/A
Non-Exemplar Domain Incremental Learning via Cross-Domain Concept Integration	Unknown	PDF	N/A
Data-to-Model Distillation: Data-Efficient Learning Framework	Unknown	PDF	N/A
Simple Unsupervised Knowledge Distillation With Space Similarity	Unknown	PDF	N/A
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance	Unknown	PDF	N/A
DSMix: Distortion-Induced Saliency Map Based Pre-training for No-Reference Image Quality Assessment	Unknown	PDF	N/A
Learning Natural Consistency Representation for Face Forgery Video Detection	Unknown	PDF	N/A
DragVideo: Interactive Drag-style Video Editing	Unknown	PDF	N/A
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging	Unknown	PDF	N/A
One-Shot Diffusion Mimicker for Handwritten Text Generation	Unknown	PDF	N/A
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning	Unknown	PDF	N/A
Multi-Person Pose Forecasting with Individual Interaction Perceptron and Prior Learning	Unknown	PDF	N/A
FunQA: Towards Surprising Video Comprehension	Unknown	PDF	N/A
Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network	Unknown	PDF	N/A
UpFusion: Novel View Diffusion from Unposed Sparse View Observations	Unknown	PDF	N/A
EDformer: Transformer-Based Event Denoising Across Varied Noise Levels	Unknown	PDF	N/A
UniVoxel: Fast Inverse Rendering by Unified Voxelization of Scene Representation	Unknown	PDF	N/A
View-Consistent 3D Editing with Gaussian Splatting	Unknown	PDF	N/A
Few-shot NeRF by Adaptive Rendering Loss Regularization	Unknown	PDF	N/A
HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes	Unknown	PDF	N/A
FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis	Unknown	PDF	N/A
Generating Human Interaction Motions in Scenes with Text Control	Unknown	PDF	N/A
Optimizing Illuminant Estimation in Dual-Exposure HDR Imaging	Unknown	PDF	N/A
MeshSegmenter: Zero-Shot Mesh Segmentation via Texture Synthesis	Unknown	PDF	N/A
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing	Unknown	PDF	N/A
MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping	Unknown	PDF	N/A
FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting	Unknown	PDF	N/A
VersatileGaussian: Real-time Neural Rendering for Versatile Tasks using Gaussian Splatting	Unknown	PDF	N/A
Instruction Tuning-free Visual Token Complement for Multimodal LLMs	Unknown	PDF	N/A
Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance	Unknown	PDF	N/A
Pyramid Diffusion for Fine 3D Large Scene Generation	Unknown	PDF	N/A
Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts	Unknown	PDF	N/A
MotionChain: Conversational Motion Controllers via Multimodal Prompts	Unknown	PDF	N/A
Synthesizing Environment-Specific People in Photographs	Unknown	PDF	N/A
Open-World Dynamic Prompt and Continual Visual Representation Learning	Unknown	PDF	N/A
Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning	Unknown	PDF	N/A
Customized Generation Reimagined: Fidelity and Editability Harmonized	Unknown	PDF	N/A
HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation	Unknown	PDF	N/A
Text2LiDAR: Text-guided LiDAR Point Clouds Generation via Equirectangular Transformer	Unknown	PDF	N/A
Co-speech Gesture Video Generation with 3D Human Meshes	Unknown	PDF	N/A
SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer	Unknown	PDF	N/A
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields	Unknown	PDF	N/A
DiffusionPen: Towards Controlling the Style of Handwritten Text Generation	Unknown	PDF	N/A
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation	Unknown	PDF	N/A
PoseEmbroider: Towards a 3D, Visual, Semantic-aware Human Pose Representation	Unknown	PDF	N/A
MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection	Unknown	PDF	N/A
Revisit Self-supervision with Local Structure-from-Motion	Unknown	PDF	N/A
On the Viability of Monocular Depth Pre-training for Semantic Segmentation	Unknown	PDF	N/A
Weakly-supervised Camera Localization by Ground-to-satellite Image Registration	Unknown	PDF	N/A
NeuSDFusion: A Spatial-Aware Generative Model for 3D Shape Completion, Reconstruction, and Generation	Unknown	PDF	N/A
Latent Guard: a Safety Framework for Text-to-image Generation	Unknown	PDF	N/A
TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering	Unknown	PDF	N/A
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection	Unknown	PDF	N/A
ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided Transformers	Unknown	PDF	N/A
ProtoComp: Diverse Point Cloud Completion with Controllable Prototype	Unknown	PDF	N/A
FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation	Unknown	PDF	N/A
Physical-Based Event Camera Simulator	Unknown	PDF	N/A
Topo4D: Topology-Preserving Gaussian Splatting for High-Fidelity 4D Head Capture	Unknown	PDF	N/A
EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis	Unknown	PDF	N/A
Implicit Steganography Beyond the Constraints of Modality	Unknown	PDF	N/A
Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos	Unknown	PDF	N/A
Volumetric Rendering with Baked Quadrature Fields	Unknown	PDF	N/A
Flying with Photons: Rendering Novel Views of Propagating Light	Unknown	PDF	N/A
LivePhoto: Real Image Animation with Text-guided Motion Control	Unknown	PDF	N/A
Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment	Unknown	PDF	N/A
High-Fidelity and Transferable NeRF Editing by Frequency Decomposition	Unknown	PDF	N/A
Implicit Style-Content Separation using B-LoRA	Unknown	PDF	N/A
Inf-DiT: Upsampling any-resolution image with memory-efficient diffusion transformer.	Unknown	PDF	N/A
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion	Unknown	PDF	N/A
Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems	Unknown	PDF	N/A
OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal	Unknown	PDF	N/A
Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration	Unknown	PDF	N/A
Understanding Multi-compositional learning in Vision and Language models via Category Theory	Unknown	PDF	N/A
Animate Your Motion: Turning Still Images into Dynamic Videos	Unknown	PDF	N/A
Spatial-Temporal Multi-level Association for Video Object Segmentation	Unknown	PDF	N/A
Point-supervised Panoptic Segmentation via Estimating Pseudo Labels from Learnable Distance	Unknown	PDF	N/A
CSOT: Cross-Scan Object Transfer for Semi-Supervised LiDAR Object Detection	Unknown	PDF	N/A
Context-Aware Action Recognition: Introducing a Comprehensive Dataset for Behavior Contrast	Unknown	PDF	N/A
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image	Unknown	PDF	N/A
Face Reconstruction Transfer Attack as Out-of-Distribution Generalization	Unknown	PDF	N/A
Rethinking Image-to-Video Adaptation: An Object-centric Perspective	Unknown	PDF	N/A
Texture-GS: Disentangle the Geometry and Texture for 3D Gaussian Splatting Editing	Unknown	PDF	N/A
Noise Calibration: Plug-and-play Content-Preserving Video Enhancement using Pre-trained Video Diffusion Models	Unknown	PDF	N/A
DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors	Unknown	PDF	N/A
UniProcessor: A Text-induced Unified Low-level Image Processor	Unknown	PDF	N/A
Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors	Unknown	PDF	N/A
Tokenize Anything via Prompting	Unknown	PDF	N/A
Visual Alignment Pre-training for Sign Language Translation	Unknown	PDF	N/A
GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering	Unknown	PDF	N/A
Learning Chain of Counterfactual Thought for Bias-Robust Vision-Language Reasoning	Unknown	PDF	N/A
Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models	Unknown	PDF	N/A
FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection	Unknown	PDF	N/A
Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing	Unknown	PDF	N/A
Evaluating Text-to-Visual Generation with Image-to-Text Generation	Unknown	PDF	N/A
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment	Unknown	PDF	N/A
Arc2Face: A Foundation Model for ID-Consistent Human Faces	Unknown	PDF	N/A
Let the Avatar Talk using Texts without Paired Training Data	Unknown	PDF	N/A
LaMI-DETR: Open-Vocabulary Detection with Language Model Instruction	Unknown	PDF	N/A
Region-centric Image-Language Pretraining for Open-Vocabulary Detection	Unknown	PDF	N/A
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement	Unknown	PDF	N/A
Learning Camouflaged Object Detection from Noisy Pseudo Label	Unknown	PDF	N/A
PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition	Unknown	PDF	N/A
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization	Unknown	PDF	N/A
Attention Beats Linear for Fast Implicit Neural Representation Generation	Unknown	PDF	N/A
WebRPG: Automatic Web Rendering Parameters Generation for Visual Presentation	Unknown	PDF	N/A
Timestep-Aware Correction for Quantized Diffusion Models	Unknown	PDF	N/A
LightenDiffusion: Unsupervised Low-Light Image Enhancement with Latent-Retinex Diffusion Models	Unknown	PDF	N/A
Prompt-Based Test-Time Real Image Dehazing: A Novel Pipeline	Unknown	PDF	N/A
RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-based Continual Learning	Unknown	PDF	N/A
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning	Unknown	PDF	N/A
Dynamic Guidance Adversarial Distillation with Enhanced Teacher Knowledge	Unknown	PDF	N/A
Emerging Property of Masked Token for Effective Pre-training	Unknown	PDF	N/A
OmniSSR: Zero-shot Omnidirectional Image Super-Resolution using Stable Diffusion Model	Unknown	PDF	N/A
Hierarchical Separable Video Transformer for Snapshot Compressive Imaging	Unknown	PDF	N/A
Gaussian Grouping: Segment and Edit Anything in 3D Scenes	Unknown	PDF	N/A
3D Hand Sequence Recovery from Real Blurry Images and Event Stream	Unknown	PDF	N/A
Sapiens: Foundation for Human Vision Models	Unknown	PDF	N/A
Rethinking Video Deblurring with Wavelet-Aware Dynamic Transformer and Diffusion Model	Unknown	PDF	N/A
SweepNet: Unsupervised Learning Shape Abstraction via Neural Sweepers	Unknown	PDF	N/A
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images	Unknown	PDF	N/A
ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model	Unknown	PDF	N/A
Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration	Unknown	PDF	N/A
Segmentation-guided Layer-wise Image Vectorization with Gradient Fills	Unknown	PDF	N/A
IntrinsicAnything: Learning Diffusion Priors for Inverse Rendering Under Unknown Illumination	Unknown	PDF	N/A
SAM-guided Graph Cut for 3D Instance Segmentation	Unknown	PDF	N/A
GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation	Unknown	PDF	N/A
A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpainting	Unknown	PDF	N/A
HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting	Unknown	PDF	N/A
VividDreamer: Invariant Score Distillation for Hyper-Realistic Text-to-3D Generation	Unknown	PDF	N/A
Explicitly Guided Information Interaction Network for Cross-modal Point Cloud Completion	Unknown	PDF	N/A
TLControl: Trajectory and Language Control for Human Motion Synthesis	Unknown	PDF	N/A
StructLDM: Structured Latent Diffusion for 3D Human Generation	Unknown	PDF	N/A
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation	Unknown	PDF	N/A
ComboVerse: Compositional 3D Assets Creation Using Spatially-Aware Diffusion Guidance	Unknown	PDF	N/A
ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer	Unknown	PDF	N/A
High-Fidelity Modeling of Generalizable Wrinkle Deformation	Unknown	PDF	N/A
COMPOSE: Comprehensive Portrait Shadow Editing	Unknown	PDF	N/A
GeoGaussian: Geometry-aware Gaussian Splatting for Scene Rendering	Unknown	PDF	N/A
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion	Unknown	PDF	N/A
PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations	Unknown	PDF	N/A
Learning Representations from Foundation Models for Domain Generalized Stereo Matching	Unknown	PDF	N/A
Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization	Unknown	PDF	N/A
PARE-Net: Position-Aware Rotation-Equivariant Networks for Robust Point Cloud Registration	Unknown	PDF	N/A
MAP-ADAPT: Real-Time Quality-Adaptive Semantic 3D Maps	Unknown	PDF	N/A
NeRF-XL: NeRF at Any Scale with Multi-GPU	Unknown	PDF	N/A
NOVUM: Neural Object Volumes for Robust Object Classification	Unknown	PDF	N/A
De-confounded Gaze Estimation	Unknown	PDF	N/A
3D Hand Pose Estimation in Everyday Egocentric Images	Unknown	PDF	N/A
Masked Video and Body-worn IMU Autoencoder for Egocentric Action Recognition	Unknown	PDF	N/A
Controllable Human-Object Interaction Synthesis	Unknown	PDF	N/A
Nymeria: A Massive Collection of Egocentric Multi-modal Human Motion in the Wild	Unknown	PDF	N/A
Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images	Unknown	PDF	N/A
DriveDreamer: Towards Real-world-driven World Models for Autonomous Driving	Unknown	PDF	N/A
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation	Unknown	PDF	N/A
GAReT: Cross-view Video Geolocalization with Adapters and Auto-Regressive Transformers	Unknown	PDF	N/A
SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding	Unknown	PDF	N/A
DrivingDiffusion: Layout-Guided Multi-View Driving Scenarios Video Generation with Latent Diffusion Model	Unknown	PDF	N/A
Zero-Shot Multi-Object Scene Completion	Unknown	PDF	N/A
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene	Unknown	PDF	N/A
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation	Unknown	PDF	N/A
DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment	Unknown	PDF	N/A
Personalized Video Relighting With an At-Home Light Stage	Unknown	PDF	N/A
Six-Point Method for Multi-Camera Systems with Reduced Solution Space	Unknown	PDF	N/A
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation	Unknown	PDF	N/A
Tuning-Free Image Customization with Image and Text Guidance	Unknown	PDF	N/A
Stripe Observation Guided Inference Cost-free Attention Mechanism	Unknown	PDF	N/A
MegaScenes: Scene-Level View Synthesis at Scale	Unknown	PDF	N/A
GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting	Unknown	PDF	N/A
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth Estimation	Unknown	PDF	N/A
SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging	Unknown	PDF	N/A
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models	Unknown	PDF	N/A
Non-parametric Sensor Noise Modeling and Synthesis	Unknown	PDF	N/A
Learned Image Enhancement via Color Naming	Unknown	PDF	N/A
Idea2Img: Iterative Self-Refinement with GPT-4V for Automatic Image Design and Generation	Unknown	PDF	N/A
Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection	Unknown	PDF	N/A
Navigating Text-to-Image Generative Bias across Indic Languages	Unknown	PDF	N/A
Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction	Unknown	PDF	N/A
Improving Diffusion Models for Authentic Virtual Try-on in the Wild	Unknown	PDF	N/A
LCM-Lookahead for Encoder-based Text-to-Image Personalization	Unknown	PDF	N/A
COIN-Matting: Confounder Intervention for Image Matting	Unknown	PDF	N/A
GaussReg: Fast 3D Registration with Gaussian Splatting	Unknown	PDF	N/A
PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects	Unknown	PDF	N/A
Score Distillation Sampling with Learned Manifold Corrective	Unknown	PDF	N/A
WAS: Dataset and Methods for Artistic Text Segmentation	Unknown	PDF	N/A
Rethinking Weakly-supervised Video Temporal Grounding From a Game Perspective	Unknown	PDF	N/A
BAMM: Bidirectional Autoregressive Motion Model	Unknown	PDF	N/A
AdaDiffSR: Adaptive Region-aware Dynamic acceleration Diffusion Model for Real-World Image Super-Resolution	Unknown	PDF	N/A
Image-adaptive 3D Lookup Tables for Real-time Image Enhancement with Bilateral Grids	Unknown	PDF	N/A
Region-Aware Sequence-to-Sequence Learning for Hyperspectral Denoising	Unknown	PDF	N/A
ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization	Unknown	PDF	N/A
Bi-TTA: Bidirectional Test-Time Adapter for Remote Physiological Measurement	Unknown	PDF	N/A
Parameterization-driven Neural Surface Reconstruction for Object-oriented Editing in Neural Rendering	Unknown	PDF	N/A
Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition	Unknown	PDF	N/A
Agent Attention: On the Integration of Softmax and Linear Attention	Unknown	PDF	N/A
Fine-grained Dynamic Network for Generic Event Boundary Detection	Unknown	PDF	N/A
Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution	Unknown	PDF	N/A
Domesticating SAM for Breast Ultrasound Image Segmentation via Spatial-frequency Fusion and Uncertainty Correction	Unknown	PDF	N/A
VP-SAM: Taming Segment Anything Model for Video Polyp Segmentation via Disentanglement and Spatio-temporal Side Network	Unknown	PDF	N/A
GraspXL: Generating Grasping Motions for Diverse Objects at Scale	Unknown	PDF	N/A
Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition	Unknown	PDF	N/A
Interaction-centric Spatio-Temporal Context Reasoning for Multi-Person Video HOI Recognition	Unknown	PDF	N/A
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation	Unknown	PDF	N/A
Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images	Unknown	PDF	N/A
LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models	Unknown	PDF	N/A
Audio-visual Generalized Zero-shot Learning the Easy Way	Unknown	PDF	N/A
Pre-trained Visual Dynamics Representations for Efficient Policy Learning	Unknown	PDF	N/A
Reinforcement Learning Friendly Vision-Language Model for Minecraft	Unknown	PDF	N/A
GRAPE: Generalizable and Robust Multi-view Facial Capture	Unknown	PDF	N/A
R^2-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations	Unknown	PDF	N/A
Agent3D-Zero: An Agent for Zero-shot 3D Understanding	Unknown	PDF	N/A
Multiscale Sliced Wasserstein Distances as Perceptual Color Difference Measures	Unknown	PDF	N/A
SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images	Unknown	PDF	N/A
SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant	Unknown	PDF	N/A
BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models	Unknown	PDF	N/A
Structured-NeRF: Hierarchical Scene Graph with Neural Representation	Unknown	PDF	N/A
MetaWeather: Few-Shot Weather-Degraded Image Restoration	Unknown	PDF	N/A
Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting	Unknown	PDF	N/A
TOD3Cap: Towards 3D Dense Captioning in Outdoor Scenes	Unknown	PDF	N/A
APL: Anchor-based Prompt Learning for One-stage Weakly Supervised Referring Expression Comprehension	Unknown	PDF	N/A
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference	Unknown	PDF	N/A
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency	Unknown	PDF	N/A
MeshFeat: Multi-Resolution Features for Neural Fields on Meshes	Unknown	PDF	N/A
TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias	Unknown	PDF	N/A
DragAPart: Learning a Part-Level Motion Prior for Articulated Objects	Unknown	PDF	N/A
Surface Reconstruction for 3D Gaussian Splatting via Local Structural Hints	Unknown	PDF	N/A
PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion	Unknown	PDF	N/A
Learning to Unlearn for Robust Machine Unlearning	Unknown	PDF	N/A
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers	Unknown	PDF	N/A
Echoes of the Past: Boosting Long-tail Recognition via Reflective Learning	Unknown	PDF	N/A
MinD-3D: Reconstruct High-quality 3D objects in Human Brain	Unknown	PDF	N/A
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models	Unknown	PDF	N/A
Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits	Unknown	PDF	N/A
Visual Text Generation in the Wild	Unknown	PDF	N/A
Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement	Unknown	PDF	N/A
E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation	Unknown	PDF	N/A
A Unified Image Compression Method for Human Perception and Multiple Vision Tasks	Unknown	PDF	N/A
Diffusion for Natural Image Matting	Unknown	PDF	N/A
Eliminating Warping Shakes for Unsupervised Online Video Stitching	Unknown	PDF	N/A
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification	Unknown	PDF	N/A
Facial Affective Behavior Analysis with Instruction Tuning	Unknown	PDF	N/A
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection	Unknown	PDF	N/A
Learning Quantized Adaptive Conditions for Diffusion Models	Unknown	PDF	N/A
Learn to Optimize Denoising Scores: A Unified and Improved Diffusion Prior for 3D Generation	Unknown	PDF	N/A
Discovering Unwritten Visual Classifiers with Large Language Models	Unknown	PDF	N/A
Enhancing Diffusion Models with Text-Encoder Reinforcement Learning	Unknown	PDF	N/A
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data	Unknown	PDF	N/A
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach	Unknown	PDF	N/A
Hetecooper: Feature Collaboration Graph for Heterogeneous Collaborative Perception	Unknown	PDF	N/A
DATENeRF: Depth-Aware Text-based Editing of NeRFs	Unknown	PDF	N/A
Soft Prompt Generation for Domain Generalization	Unknown	PDF	N/A
Efficient Inference of Vision Instruction-Following Models with Elastic Cache	Unknown	PDF	N/A
Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement	Unknown	PDF	N/A
On the Approximation Risk of Few-Shot Class-Incremental Learning	Unknown	PDF	N/A
Time-Efficient and Identity-Consistent Virtual Try-On Using A Variant of Altered Diffusion Models	Unknown	PDF	N/A
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation	Unknown	PDF	N/A
Fast Encoding and Decoding for Implicit Video Representation	Unknown	PDF	N/A
SAIR: Learning Semantic-aware Implicit Representation	Unknown	PDF	N/A
Just a Hint: Point-Supervised Camouflaged Object Detection	Unknown	PDF	N/A
Rethinking Normalization Layers for Domain Generalizable Person Re-identification	Unknown	PDF	N/A
URS-NeRF: Unordered Rolling Shutter Bundle Adjustment for Neural Radiance Fields	Unknown	PDF	N/A
Hierarchically Structured Neural Bones for Reconstructing Animatable Objects from Casual Videos	Unknown	PDF	N/A
Efficient Cascaded Multiscale Adaptive Network for Image Restoration	Unknown	PDF	N/A
ConGeo: Robust Cross-view Geo-localization across Ground View Variations	Unknown	PDF	N/A
Learning to Drive via Asymmetric Self-Play	Unknown	PDF	N/A
Event-based Mosaicing Bundle Adjustment	Unknown	PDF	N/A
Robust-Wide: Robust Watermarking against Instruction-driven Image Editing	Unknown	PDF	N/A
FineMatch: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction	Unknown	PDF	N/A
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model	Unknown	PDF	N/A
MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos	Unknown	PDF	N/A
V-Trans4Style: Visual Transition Recommendation for Video Production Style Adaptation	Unknown	PDF	N/A
OmniSat: Self-Supervised Modality Fusion for Earth Observation	Unknown	PDF	N/A
WoVoGen: World Volume-aware Diffusion for Controllable Multi-camera Driving Scene Generation	Unknown	PDF	N/A
TriNeRFLet: A Wavelet Based Triplane NeRF Representation	Unknown	PDF	N/A
Uncertainty-Driven Spectral Compressive Imaging with Spatial-Frequency Transformer	Unknown	PDF	N/A
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing	Unknown	PDF	N/A
Weakly-Supervised Spatio-Temporal Video Grounding with Variational Cross-Modal Alignment	Unknown	PDF	N/A
Toward Tiny and High-quality Facial Makeup with Data Amplify Learning	Unknown	PDF	N/A
Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models	Unknown	PDF	N/A
Bidirectional Progressive Transformer for Interaction Intention Anticipation	Unknown	PDF	N/A
Semantic-guided Robustness Tuning for Few-Shot Transfer Across Extreme Domain Shift	Unknown	PDF	N/A
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow	Unknown	PDF	N/A
Domain Reduction Strategy for Non-Line-of-Sight Imaging	Unknown	PDF	N/A
Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging	Unknown	PDF	N/A
EcoMatcher: Efficient Clustering Oriented Matcher for Detector-free Image Matching	Unknown	PDF	N/A
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning	Unknown	PDF	N/A
FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation	Unknown	PDF	N/A
C2C: Component-to-Composition Learning for Zero-Shot Compositional Action Recognition	Unknown	PDF	N/A
Vamos: Versatile Action Models for Video Understanding	Unknown	PDF	N/A
A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation	Unknown	PDF	N/A
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation	Unknown	PDF	N/A
AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation	Unknown	PDF	N/A
ExMatch: Self-guided Exploitation for Semi-Supervised Learning with Scarce Labeled Samples	Unknown	PDF	N/A
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data	Unknown	PDF	N/A
CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering	Unknown	PDF	N/A
CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems	Unknown	PDF	N/A
Open-Vocabulary RGB-Thermal Semantic Segmentation	Unknown	PDF	N/A
RaFE: Generative Radiance Fields Restoration	Unknown	PDF	N/A
denoiSplit: a method for joint microscopy image splitting and unsupervised denoising	Unknown	PDF	N/A
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening	Unknown	PDF	N/A
Efficient Neural Video Representation with Temporally Coherent Modulation	Unknown	PDF	N/A
Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution	Unknown	PDF	N/A
Unsupervised Moving Object Segmentation with Atmospheric Turbulence	Unknown	PDF	N/A
Modeling Label Correlations with Latent Context for Multi-Label Recognition	Unknown	PDF	N/A
Language-Driven Physics-Based Scene Synthesis and Editing via Feature Splatting	Unknown	PDF	N/A
MeshAvatar: Learning High-quality Triangular Human Avatars from Multi-view Videos	Unknown	PDF	N/A
WindPoly: Polygonal Mesh Reconstruction via Winding Numbers	Unknown	PDF	N/A
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation	Unknown	PDF	N/A
Towards Reliable Advertising Image Generation Using Human Feedback	Unknown	PDF	N/A
Distributionally Robust Loss for Long-Tailed Multi-Label Image Classification	Unknown	PDF	N/A
Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection	Unknown	PDF	N/A
Inter-Class Topology Alignment for Efficient Black-Box Substitute Attacks	Unknown	PDF	N/A
TurboEdit: Real-time text-based disentangled real image editing	Unknown	PDF	N/A
The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers	Unknown	PDF	N/A
Improving Vision and Language Concepts Understanding with Multimodal Counterfactual Samples	Unknown	PDF	N/A
Functional Transform-Based Low-Rank Tensor Factorization for Multi-Dimensional Data Recovery	Unknown	PDF	N/A
Harmonizing knowledge Transfer in Neural Network with Unified Distillation	Unknown	PDF	N/A
MoEAD: A Parameter-efficient Model for Multi-class Anomaly Detection	Unknown	PDF	N/A
Clean & Compact: Efficient Data-Free Backdoor Defense with Model Compactness	Unknown	PDF	N/A
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation	Unknown	PDF	N/A
EraseDraw : Learning to Insert Objects by Erasing Them from Images	Unknown	PDF	N/A
Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action Segmentation	Unknown	PDF	N/A
Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval	Unknown	PDF	N/A
Attention Prompting on Image for Large Vision-Language Models	Unknown	PDF	N/A
ELSE: Efficient Deep Neural Network Inference through Line-based Sparsity Exploration	Unknown	PDF	N/A
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition	Unknown	PDF	N/A
Content-Aware Radiance Fields: Aligning Model Complexity with Scene Intricacy Through Learned Bitwidth Quantization	Unknown	PDF	N/A
A Cephalometric Landmark Regression Method based on Dual-encoder for High-resolution X-ray Image	Unknown	PDF	N/A
HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation	Unknown	PDF	N/A
Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation	Unknown	PDF	N/A
Viewpoint textual inversion: discovering scene representations and 3D view control in 2D diffusion models	Unknown	PDF	N/A
A Geometric Distortion Immunized Deep Watermarking Framework with Robustness Generalizability	Unknown	PDF	N/A
CipherDM: Secure Three-Party Inference for Diffusion Model Sampling	Unknown	PDF	N/A
How to Train the Teacher Model for Effective Knowledge Distillation	Unknown	PDF	N/A
LineFit: A Geometric Approach for Fitting Line Segments in Images	Unknown	PDF	N/A
CompGS: Smaller and Faster Gaussian Splatting with Vector Quantization	Unknown	PDF	N/A
Global Counterfactual Directions	Unknown	PDF	N/A
VideoAgent: Long-form Video Understanding with Large Language Model as Agent	Unknown	PDF	N/A
RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion	Unknown	PDF	N/A
Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering	Unknown	PDF	N/A
ChEX: Interactive Localization and Region Description in Chest X-rays	Unknown	PDF	N/A
MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration	Unknown	PDF	N/A
Grounding Image Matching in 3D with MASt3R	Unknown	PDF	N/A
COSMU: Complete 3D human shape from monocular unconstrained images	Unknown	PDF	N/A
LASS3D: Language-Assisted Semi-Supervised 3D Semantic Segmentation with Progressive Unreliable Data Exploitation	Unknown	PDF	N/A
Efficient Active Domain Adaptation for Semantic Segmentation by Selecting Information-rich Superpixels	Unknown	PDF	N/A
Adaptive Human Trajectory Prediction via Latent Corridors	Unknown	PDF	N/A
Generalizable Facial Expression Recognition	Unknown	PDF	N/A
RS-NeRF: Neural Radiance Fields from Rolling Shutter Images	Unknown	PDF	N/A
MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain	Unknown	PDF	N/A
Do Generalised Classifiers really work on Human Drawn Sketches?	Unknown	PDF	N/A
Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures	Unknown	PDF	N/A
Grid-Attention: Enhancing Computational Efficiency of Large Vision Models without Fine-Tuning	Unknown	PDF	N/A
Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection	Unknown	PDF	N/A
GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views	Unknown	PDF	N/A
Enhanced Motion Forecasting with Visual Relation Reasoning	Unknown	PDF	N/A
Multi-scale Cross Distillation for Object Detection in Aerial Images	Unknown	PDF	N/A
Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models	Unknown	PDF	N/A
DSA: Discriminative Scatter Analysis for Early Smoke Segmentation	Unknown	PDF	N/A
Long-term Temporal Context Gathering for Neural Video Compression	Unknown	PDF	N/A
DualBEV: Unifying Dual View Transformation with Probabilistic Correspondences	Unknown	PDF	N/A
Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis	Unknown	PDF	N/A
SemanticHuman-HD: High Resolution Semantic disentangled 3D Human Generation	Unknown	PDF	N/A
MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks	Unknown	PDF	N/A
Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing	Unknown	PDF	N/A
Norface: Improving Facial Expression Analysis by Identity Normalization	Unknown	PDF	N/A
Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models	Unknown	PDF	N/A
Bucketed Ranking-based Losses for Efficient Training of Object Detectors	Unknown	PDF	N/A
OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web	Unknown	PDF	N/A
Test-Time Stain Adaptation with Diffusion Models for Histopathology Image Classification	Unknown	PDF	N/A
Self-Supervised Underwater Caustics Removal and Descattering via Deep Monocular SLAM	Unknown	PDF	N/A
Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition	Unknown	PDF	N/A
The Nerfect Match: Exploring NeRF Features for Visual Localization	Unknown	PDF	N/A
SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearization	Unknown	PDF	N/A
Image Manipulation Detection With Implicit Neural Representation and Limited Supervision	Unknown	PDF	N/A
Adapting to Shifting Correlations with Unlabeled Data Calibration	Unknown	PDF	N/A
SCAPE: A Simple and Strong Category-Agnostic Pose Estimator	Unknown	PDF	N/A
FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients	Unknown	PDF	N/A
Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model	Unknown	PDF	N/A
Image-to-Lidar Relational Distillation for Autonomous Driving Data	Unknown	PDF	N/A
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval	Unknown	PDF	N/A
Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions	Unknown	PDF	N/A
Learning-based Axial Video Motion Magnification	Unknown	PDF	N/A
IGNORE: Information Gap-based False Negative Loss Rejection for Single Positive Multi-Label Learning	Unknown	PDF	N/A
Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization	Unknown	PDF	N/A
AD3: Introducing a score for Anomaly Detection Dataset Difficulty assessment using VIADUCT dataset	Unknown	PDF	N/A
RegionDrag: Fast Region-Based Image Editing with Diffusion Models	Unknown	PDF	N/A
FlowCon: Out-of-Distribution Detection using Flow-based Contrastive Learning	Unknown	PDF	N/A
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts	Unknown	PDF	N/A
CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection	Unknown	PDF	N/A
Siamese Vision Transformers are Scalable Audio-visual Learners	Unknown	PDF	N/A
Rectify the Regression Bias in Long-Tailed Object Detection	Unknown	PDF	N/A
Learning Neural Volumetric Pose Features for Camera Localization	Unknown	PDF	N/A
Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection	Unknown	PDF	N/A
Visual Relationship Transformation	Unknown	PDF	N/A
Scene-aware Human Motion Forecasting via Mutual Distance Prediction	Unknown	PDF	N/A
Occlusion Handling in 3D Human Pose Estimation with Perturbed Positional Encoding	Unknown	PDF	N/A
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation	Unknown	PDF	N/A
Visible and Clear: Finding Tiny Objects in Difference Map	Unknown	PDF	N/A
Elysium: Exploring Object-level Perception in Videos through Semantic Integration Using MLLMs	Unknown	PDF	N/A
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement	Unknown	PDF	N/A
Temporal-Mapping Photography for Event Cameras	Unknown	PDF	N/A
RGBD GS-ICP SLAM	Unknown	PDF	N/A
SAVE: Protagonist Diversification with Structure Agnostic Video Editing	Unknown	PDF	N/A
Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-wise Hidden Bias	Unknown	PDF	N/A
Federated Learning with Local Openset Noisy Labels	Unknown	PDF	N/A
Match-Stereo-Videos: Bidirectional Alignment for Consistent Dynamic Stereo Matching	Unknown	PDF	N/A
End-to-End Rate-Distortion Optimized 3D Gaussian Representation	Unknown	PDF	N/A
Multistain Pretraining for Slide Representation Learning in Pathology	Unknown	PDF	N/A
Efficient Few-Shot Action Recognition via Multi-Level Post-Reasoning	Unknown	PDF	N/A
Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation	Unknown	PDF	N/A
GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes	Unknown	PDF	N/A
3R-INN: How to be climate friendly while consuming/delivering videos?	Unknown	PDF	N/A
ADMap: Anti-disturbance Framework for Vectorized HD Map Construction	Unknown	PDF	N/A
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields	Unknown	PDF	N/A
OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction	Unknown	PDF	N/A
Self-supervised co-salient object detection via feature correspondences at multiple scales	Unknown	PDF	N/A
Improving Knowledge Distillation via Regularizing Feature Direction and Norm	Unknown	PDF	N/A
DynMF: Neural Motion Factorization for Real-time Dynamic View Synthesis with 3D Gaussian Splatting	Unknown	PDF	N/A
UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models	Unknown	PDF	N/A
Reinforcement Learning Meets Visual Odometry	Unknown	PDF	N/A
PoseSOR: Human Pose Can Guide Our Attention	Unknown	PDF	N/A
Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning	Unknown	PDF	N/A
SpeedUpNet: A Plug-and-Play Adapter Network for Accelerating Text-to-Image Diffusion Models	Unknown	PDF	N/A
Edge-Guided Fusion and Motion Augmentation for Event-Image Stereo	Unknown	PDF	N/A
Rethinking Tree-Ring Watermarking for Enhanced Multi-Key Identification	Unknown	PDF	N/A
DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs	Unknown	PDF	N/A
NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models	Unknown	PDF	N/A
Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken	Unknown	PDF	N/A
Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data	Unknown	PDF	N/A
Non-Line-of-Sight Estimation of Fast Human Motion with Slow Scanning Imagers	Unknown	PDF	N/A
HPE-Li: WiFi-enabled Lightweight Dual Selective Kernel Convolution for Human Pose Estimation	Unknown	PDF	N/A
LITA: Language Instructed Temporal-Localization Assistant	Unknown	PDF	N/A
Improving Agent Behaviors with RL Fine-tuning for Autonomous Driving	Unknown	PDF	N/A
Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks	Unknown	PDF	N/A
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow	Unknown	PDF	N/A
MEVG : Multi-event Video Generation with Text-to-Video Models	Unknown	PDF	N/A
Unsupervised Dense Prediction using Differentiable Normalized Cuts	Unknown	PDF	N/A
RPBG: Towards Robust Neural Point-based Graphics in the Wild	Unknown	PDF	N/A
uCAP: An Unsupervised Prompting Method for Vision-Language Models	Unknown	PDF	N/A
CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing	Unknown	PDF	N/A
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration	Unknown	PDF	N/A
PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference	Unknown	PDF	N/A
Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework	Unknown	PDF	N/A
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation	Unknown	PDF	N/A
Efficient Frequency-Domain Image Deraining with Contrastive Regularization	Unknown	PDF	N/A
EgoBody3M: Egocentric Body Tracking on a VR Headset using a Diverse Dataset	Unknown	PDF	N/A
Deep Cost Ray Fusion for Sparse Depth Video Completion	Unknown	PDF	N/A
Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation	Unknown	PDF	N/A
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning	Unknown	PDF	N/A
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps	Unknown	PDF	N/A
Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment	Unknown	PDF	N/A
Norma: A Noise Robust Memory-Augmented Framework for Whole Slide Image Classification	Unknown	PDF	N/A
Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models	Unknown	PDF	N/A
SAM-COD: SAM-guided Unified Framework for Weakly-Supervised Camouflaged Object Detection	Unknown	PDF	N/A
Adaptive High-Frequency Transformer for Diverse Wildlife Re-Identification	Unknown	PDF	N/A
Noise-assisted Prompt Learning for Image Forgery Detection and Localization	Unknown	PDF	N/A
Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization	Unknown	PDF	N/A
Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection	Unknown	PDF	N/A
Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation	Unknown	PDF	N/A
An accurate detection is not all you need to combat label noise in web-noisy datasets	Unknown	PDF	N/A
Self-Supervised Video Copy Localization with Regional Token Representation	Unknown	PDF	N/A
Crowd-SAM:SAM as a smart annotator for object detection in crowded scenes	Unknown	PDF	N/A
Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses	Unknown	PDF	N/A
Free-VSC: Free Semantics from Visual Foundation Models for Unsupervised Video Semantic Compression	Unknown	PDF	N/A
Zero-shot Object Counting with Good Exemplars	Unknown	PDF	N/A
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition	Unknown	PDF	N/A
Synergy of Sight and Semantics: Visual Intention Understanding with CLIP	Unknown	PDF	N/A
FreeMotion: MoCap-Free Human Motion Synthesis with Multimodal Large Language Models	Unknown	PDF	N/A
Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians	Unknown	PDF	N/A
Single-Photon 3D Imaging with Equi-Depth Photon Histograms	Unknown	PDF	N/A
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training	Unknown	PDF	N/A
Anytime Continual Learning for Open Vocabulary Classification	Unknown	PDF	N/A
Gated Temporal Diffusion for Stochastic Long-term Dense Anticipation	Unknown	PDF	N/A
Domain Generalization of 3D Object Detection by Density-Resampling	Unknown	PDF	N/A
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients	Unknown	PDF	N/A
O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation	Unknown	PDF	N/A
On the Error Analysis of 3D Gaussian Splatting and an Optimal Projection Strategy	Unknown	PDF	N/A
Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data	Unknown	PDF	N/A
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models	Unknown	PDF	N/A
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks	Unknown	PDF	N/A
Multi-Task Domain Adaptation for Language Grounding with 3D Objects	Unknown	PDF	N/A
PISR: Polarimetric Neural Implicit Surface Reconstruction for Textureless and Specular Objects	Unknown	PDF	N/A
Watching it in Dark: A Target-aware Representation Learning Framework for High-Level Vision Tasks in Low Illumination	Unknown	PDF	N/A
SINDER: Repairing the Singular Defects of DINOv2	Unknown	PDF	N/A
Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians	Unknown	PDF	N/A
Revisiting Domain-Adaptive Object Detection in Adverse Weather by the Generation and Composition of High-Quality Pseudo-Labels	Unknown	PDF	N/A
Open-Set Recognition in the Age of Vision-Language Models	Unknown	PDF	N/A
Two-Stage Active Learning for Efficient Temporal Action Segmentation	Unknown	PDF	N/A
High-Precision Self-Supervised Monocular Depth Estimation with Rich-Resource Prior	Unknown	PDF	N/A
ARoFace: Alignment Robustness to Improve Low-quality Face Recognition	Unknown	PDF	N/A
Un-EVIMO: Unsupervised Event-based Independent Motion Segmentation	Unknown	PDF	N/A
Finding a needle in a haystack: A Black-Box Approach to Invisible Watermark Detection	Unknown	PDF	N/A
Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images	Unknown	PDF	N/A
CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation	Unknown	PDF	N/A
Faceptor: A Generalist Model for Face Perception	Unknown	PDF	N/A
Shapefusion: 3D localized human diffusion models	Unknown	PDF	N/A
LLaVA-UHD: an LMM Perceiving any Aspect Ratio and High-Resolution Images	Unknown	PDF	N/A
Training A Secure Model against Data-Free Model Extraction	Unknown	PDF	N/A
VeCLIP: Improving CLIP Training via Visual-enriched Captions	Unknown	PDF	N/A
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models	Unknown	PDF	N/A
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation	Unknown	PDF	N/A
Neural Metamorphosis	Unknown	PDF	N/A
Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data	Unknown	PDF	N/A
UniCode : Learning a Unified Codebook for Multimodal Large Language Models	Unknown	PDF	N/A
When Fast Fourier Transform Meets Transformer for Image Restoration	Unknown	PDF	N/A
DGD: Dynamic 3D Gaussians Distillation	Unknown	PDF	N/A
OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detection	Unknown	PDF	N/A
Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation	Unknown	PDF	N/A
HyTAS: A Hyperspectral Image Transformer Architecture Search Benchmark and Analysis	Unknown	PDF	N/A
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild	Unknown	PDF	N/A
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation	Unknown	PDF	N/A
Dropout Mixture Low-Rank Adaptation for Visual Parameters-Efficient Fine-Tuning	Unknown	PDF	N/A
Learning Cross-hand Policies of High-DOF Reaching and Grasping	Unknown	PDF	N/A
Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic Segmentation	Unknown	PDF	N/A
Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion	Unknown	PDF	N/A
Probabilistic Weather Forecasting with Deterministic Guidance-based Diffusion Model	Unknown	PDF	N/A
Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution	Unknown	PDF	N/A
Keypoint Promptable Re-Identification	Unknown	PDF	N/A
When and How do negative prompts take effect?	Unknown	PDF	N/A
Rethinking Features-Fused-Pyramid-Neck for Object Detection	Unknown	PDF	N/A
Training A Small Emotional Vision Language Model for Visual Art Comprehension	Unknown	PDF	N/A
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes	Unknown	PDF	N/A
Learned HDR Image Compression for Perceptually Optimal Storage and Display	Unknown	PDF	N/A
FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos	Unknown	PDF	N/A
On the Topology Awareness and Generalization Performance of Graph Neural Networks	Unknown	PDF	N/A
Accelerating Image Super-Resolution Networks with Pixel-Level Classification	Unknown	PDF	N/A
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines	Unknown	PDF	N/A
IVTP: Instruction-guided Visual Token Pruning for Large Vision-Language Models	Unknown	PDF	N/A
SimPB: A Single Model for 2D and 3D Object Detection from Multiple Cameras	Unknown	PDF	N/A
Compensation Sampling for Improved Convergence in Diffusion Models	Unknown	PDF	N/A
Rethinking Fast Adversarial Training: A Splitting Technique To Overcome Catastrophic Overfitting	Unknown	PDF	N/A
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding	Unknown	PDF	N/A
RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields	Unknown	PDF	N/A
SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference	Unknown	PDF	N/A
Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks	Unknown	PDF	N/A
KeypointDETR: An End-to-End 3D Keypoint Detector	Unknown	PDF	N/A
CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion	Unknown	PDF	N/A
Real-data-driven 2000 FPS Color Video from Mosaicked Chromatic Spikes	Unknown	PDF	N/A
IAM-VFI : Interpolate Any Motion for Video Frame Interpolation with motion complexity map	Unknown	PDF	N/A
Implicit Neural Models to Extract Heart Rate from Video	Unknown	PDF	N/A
Self-Supervised Any-Point Tracking by Contrastive Random Walks	Unknown	PDF	N/A
Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach	Unknown	PDF	N/A
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding	Unknown	PDF	N/A
Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models	Unknown	PDF	N/A
Unsupervised, Online and On-The-Fly Anomaly Detection For Non-Stationary Image Distributions	Unknown	PDF	N/A
Statewide Visual Geolocalization in the Wild	Unknown	PDF	N/A
Deblurring 3D Gaussian Splatting	Unknown	PDF	N/A
SEDiff: Structure Extraction for Domain Adaptive Depth Estimation via Denoising Diffusion Models	Unknown	PDF	N/A
Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography	Unknown	PDF	N/A
Layer-Wise Relevance Propagation with Conservation Property for ResNet	Unknown	PDF	N/A
Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis	Unknown	PDF	N/A
Sketch2Vox: Learning 3D Reconstruction from a Single Monocular Sketch Image	Unknown	PDF	N/A
Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt	Unknown	PDF	N/A
Decomposition Betters Tracking Everything Everywhere	Unknown	PDF	N/A
R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding	Unknown	PDF	N/A
Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation	Unknown	PDF	N/A
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations	Unknown	PDF	N/A
Controlling the World by Sleight of Hand	Unknown	PDF	N/A
Pseudo-Labelling Should Be Aware of Disguising Channel Activations	Unknown	PDF	N/A
Towards Architecture-Agnostic Untrained Networks Priors for Image Reconstruction with Frequency Regularization	Unknown	PDF	N/A

EMNLP 2020

Title	Author	PDF_Link	Code_URL
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation	Juhwan Choi, Yeonghwa Kim, Seunguk Yu, JungMin Yun, YoungBin Kim	N/A	N/A
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation	Juhwan Choi, JungMin Yun, Kyohoon Jin, YoungBin Kim	N/A	N/A
FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document	Joonho Yang, Seunghyun Yoon, ByeongJeong Kim, Hwanhee Lee	N/A	N/A
Prompts have evil twins	Rimon Melamed, Lucas Hurley McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, Enric Boix-Adserà	N/A	N/A
Table Question Answering for Low-resourced Indic Languages	Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke	N/A	N/A
ImageInWords: Unlocking Hyper-Detailed Image Descriptions	Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Michael Baldridge, Radu Soricut	N/A	N/A
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay	Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang	N/A	N/A
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection	Xiangyu Zhang, Hexin Liu, Kaishuai Xu, Qiquan Zhang, Daijiao Liu, Beena Ahmed, Julien Epps	N/A	N/A
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model	Xiangyu Zhang, Daijiao Liu, Hexin Liu, Qiquan Zhang, Hanyu Meng, Leibny Paola Garcia Perera, EngSiong Chng, Lina Yao	N/A	N/A
Hateful Word in Context Classification	Sanne Hoeken, Sina Zarrieß, Özge Alacam	N/A	N/A
Eyes Don’t Lie: Subjective Hate Annotation and Detection with Gaze	Özge Alacam, Sanne Hoeken, Sina Zarrieß	N/A	N/A
NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning	Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle	N/A	N/A
Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models	Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka	N/A	N/A
A Usage-centric Take on Intent Understanding in E-Commerce	Wendi Zhou, Tianyi Li, Pavlos Vougiouklis, Mark Steedman, Jeff Z. Pan	N/A	N/A
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs	Oded Ovadia, Menachem Brief, Moshik Mishaeli, Oren Elisha	N/A	N/A
Systematic Biases in LLM Simulations of Debates	Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel Goldstein	N/A	N/A
Studying and Mitigating Biases in Sign Language Understanding Models	Katherine Atwell, Danielle Bragg, Malihe Alikhani	N/A	N/A
Uncertainty in Language Models: Assessment through Rank-Calibration	Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban	N/A	N/A
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning	Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing	Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty	N/A	N/A
Scaling Properties of Speech Language Models	Santiago Cuervo, Ricard Marxer	N/A	N/A
“We Demand Justice!”: Towards Social Context Grounding of Political Texts	Rajkumar Pujari, Chengfei Wu, Dan Goldwasser	N/A	N/A
An Experimental Analysis on Evaluating Patent Citations	Rabindra Nath Nandi, Suman Maity, Brian Uzzi, Sourav Medya	N/A	N/A
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?	Dawei Zhu, Pinzhen Chen, Miaoran Zhang, Barry Haddow, Xiaoyu Shen, Dietrich Klakow	N/A	N/A
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing	Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis	N/A	N/A
Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning	Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, zujie wen, Wenqiang Lei, Tat-Seng Chua	N/A	N/A
Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation	Saiful Islam Salim, Rubin Yuchan Yang, Alexander Cooper, Suryashree Ray, Saumya Debray, Sazzadur Rahaman	N/A	N/A
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation	Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, shimin tao, Xiaofeng Zhao, Mahongxia, Zhang Li, Boxing Chen, Hao Yang, Bei Li, Tong Xiao, JingBo Zhu	N/A	N/A
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models	Abhilasha Sancheti, Haozhe An, Rachel Rudinger	N/A	N/A
EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models	Maureen de Seyssel, Antony D’Avirro, Adina Williams, Emmanuel Dupoux	N/A	N/A
On Fake News Detection with LLM Enhanced Semantics Mining	Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu, Hao Fan	N/A	N/A
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices	Branislav Pecher, Ivan Srba, Maria Bielikova	N/A	N/A
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection	Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan	N/A	N/A
A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet Classifiers	Valentin Barriere, Sebastian Cifuentes	N/A	N/A
Mitigating the Alignment Tax of RLHF	Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang	N/A	N/A
Evaluating Readability and Faithfulness of Concept-based Explanations	Meng Li, Haoran Jin, Ruixuan HUANG, Zhihao Xu, Defu Lian, Zijia Lin, Di ZHANG, Xiting Wang	N/A	N/A
Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems	Zhengyuan Liu, Stella Xin Yin, Geyu Lin, Nancy F. Chen	N/A	N/A
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making	Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, Bowen Zhou	N/A	N/A
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds	Min-Hsuan Yeh, Ruyuan Wan, Ting-Hao Kenneth Huang	N/A	N/A
Tokenization Is More Than Compression	Craig W Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan, Yuval Pinter, Chris Tanner	N/A	N/A
FLIRT: Feedback Loop In-context Red Teaming	Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta	N/A	N/A
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections	Lingjun Zhao, Khanh Xuan Nguyen, Hal Daumé III	N/A	N/A
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks	Haoyuan WU, Haisheng Zheng, Zhuolun He, Bei Yu	N/A	N/A
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation	Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng	N/A	N/A
Improved Learned Sparse Retrieval with Entity Vocabulary	Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates	N/A	N/A
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models	Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Yu Wu	N/A	N/A
LongEmbed: Extending Embedding Models for Long Context Retrieval	Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li	N/A	N/A
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences	Xiangyang Liu, Junliang He, Xipeng Qiu	N/A	N/A
Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue	Xianlong Luo, Yihao Wang, Meng Yang	N/A	N/A
Integrating Plutchik’s Theory with Mixture of Experts for Enhancing Emotion Classification	Dongjun LIM, Yun-Gyung Cheong	N/A	N/A
In-context Contrastive Learning for Event Causality Identification	梁超, Wei Xiang, Bang Wang	N/A	N/A
What’s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs	Anna Wegmann, Tijs A. van den Broek, Dong Nguyen	N/A	N/A
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs	Kanishka Misra, Kyle Mahowald	N/A	N/A
Large Language Models for Data Annotation: A Survey	Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, huan liu	N/A	N/A
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models	Hongyuan Lu, HAORAN YANG, Haoyang Huang, Dongdong Zhang, Wai Lam, Furu Wei	N/A	N/A
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning	Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang	N/A	N/A
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning	Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao	N/A	N/A
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering	Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, chen luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao	N/A	N/A
HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs	Jocelyn J Shen, Joel Mire, Hae Won Park, Cynthia Breazeal, Maarten Sap	N/A	N/A
Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence	Junru Lu, Jiazheng Li, Siyu An, Meng Zhao, Yulan He, di yin, Xing Sun	N/A	N/A
Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval	Tianyi Hu, Maria Maistro, Daniel Hershcovich	N/A	N/A
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models	Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao	N/A	N/A
A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading	Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He	N/A	N/A
A Survey on In-context Learning	Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Lei Li, Zhifang Sui	N/A	N/A
DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing	Hangdi Xing, Changxu Cheng, Feiyu Gao, Zirui Shao, Zhi Yu, Jiajun Bu, Qi Zheng, Cong Yao	N/A	N/A
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation	Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing	N/A	N/A
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models	Shangyu Xing, Fei Zhao, Zhen Wu, Tuo An, Weihao Chen, Chunhui Li, Jianbing Zhang, Xinyu Dai	N/A	N/A
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization	Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee	N/A	N/A
LLMs Are Zero-Shot Context-Aware Simultaneous Translators	Roman Koshkin, Katsuhito Sudoh, Satoshi Nakamura	N/A	N/A
AgentReview: Exploring Peer Review Dynamics with LLM Agents	Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang	N/A	N/A
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval	Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou	N/A	N/A
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments	Han Zhou, Xingchen Wan, Yinhong Liu, Nigel Collier, Ivan Vulić, Anna Korhonen	N/A	N/A
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation	Chenlong Deng, Kelong Mao, Zhicheng Dou	N/A	N/A
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process	Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie, Yong Jiang	N/A	N/A
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation	Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander T Toshev	N/A	N/A
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing	Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng	N/A	N/A
Mitigating Language Bias of LMMs in Social Intelligence Understanding with Virtual Counterfactual Calibration	Peng Chen, Xiao-Yu Guo, Yuan-Fang Li, Xiaowang Zhang, Zhiyong Feng	N/A	N/A
Model Balancing Helps Low-data Training and Fine-tuning	Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang	N/A	N/A
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment	Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami	N/A	N/A
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment	Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu	N/A	N/A
A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning	Zhongwu Chen, Long Bai, Zixuan Li, Zhen Huang, Xiaolong Jin, Yong Dou	N/A	N/A
Towards Tool Use Alignment of Large Language Models	Zhi-Yuan Chen, Shiqi Shen, Guangyao Shen, Gong Zhi, Xu Chen, Yankai Lin	N/A	N/A
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models	Ranchi Zhao, Zhen Leng Thai, Yifan Zhang, Shengding Hu, Jie Zhou, Yunqi Ba, Jie Cai, Zhiyuan Liu, Maosong Sun	N/A	N/A
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps	Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass	N/A	N/A
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment	Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun	N/A	N/A
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation	Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin	N/A	N/A
Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network	Haoran Li, Qiang Gao, Hongmei Wu, Li Huang	N/A	N/A
Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors	Wenjian Ding, YAO ZHANG, Jun Wang, Adam Jatowt, Zhenglu Yang	N/A	N/A
UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation	Xiangyu Zhao, Yuehan Zhang, zhangwenlong, Xiao-Ming Wu	N/A	N/A
Tracking the perspectives of interacting language models	Hayden Helm, Brandon Duderstadt, Youngser Park, Carey Priebe	N/A	N/A
MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering	Zhengxuan Zhang, Yin WU, Yuyu Luo, Nan Tang	N/A	N/A
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?	Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui	N/A	N/A
Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement	Weimin Xiong, Yifan Song, Xiutian Zhao, Wenhao Wu, Xun Wang, Ke Wang, Cheng LI, Wei Peng, Sujian Li	N/A	N/A
Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation	Joseph Marvin Imperial, Gail Forey, Harish Tayyar Madabushi	N/A	N/A
Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective	Zhihao Zhang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou	N/A	N/A
“Glue pizza and eat rocks” - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models	Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, huan liu	N/A	N/A
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement	Yuxuan Wang, Xiaoyuan Liu	N/A	N/A
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation	Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao	N/A	N/A
MatchTime: Towards Automatic Soccer Game Commentary Generation	Jiayuan Rao, Haoning Wu, Chang Liu, Yanfeng Wang, Weidi Xie	N/A	N/A
Rethinking Token Reduction for State Space Models	Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang	N/A	N/A
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering	Chang Zong, Yuchen Yan, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang	N/A	N/A
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic	Yuyan Zhou, Liang Song, Bingning Wang, weipeng chen	N/A	N/A
Event Causality Identification with Synthetic Control	Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson	N/A	N/A
Retrieved Sequence Augmentation for Protein Representation Learning	Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Young Lu, Qi Liu, Sheng Wang, Lingpeng Kong	N/A	N/A
HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding	Fan Yuan, Chi Qin, Xiaogang Xu, Piji Li	N/A	N/A
TopViewRS: Vision-Language Models as Top-View Spatial Reasoners	Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulić	N/A	N/A
DA$^3$: A Distribution-Aware Adversarial Attack against Language Models	Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu	N/A	N/A
Evaluating Psychological Safety of Large Language Models	Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing	N/A	N/A
An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification	Zhuowei Chen, Lianxi Wang, Yuben Wu, Xinfeng Liao, Yujia Tian, Junyang Zhong	N/A	N/A
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering	Dongze Hao, Qunbo Wang, Longteng Guo, Jie Jiang, Jing Liu	N/A	N/A
PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation	Libo Zhao, Jing Li, Ziqian Zeng	N/A	N/A
TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging	Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang	N/A	N/A
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese	Caiqi Zhang, Zhijiang Guo, Andreas Vlachos	N/A	N/A
Enhancing Advanced Visual Reasoning Ability of Large Language Models	Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, Weidong Cai	N/A	N/A
CMD: a framework for Context-aware Model self-Detoxification	Zecheng Tang, Keyan Zhou, Juntao Li, Yuyang Ding, Pinzheng Wang, Yan Bowen, Renjie Hua, Min Zhang	N/A	N/A
Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection	Xiaomeng Hu, Yiming Zhang, Ru Peng, Haozhe Zhang, Chenwei Wu, Gang Chen, Junbo Zhao	N/A	N/A
TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control	Yu Zhang, Ziyue Jiang, Ruiqi Li, Changhao Pan, Jinzheng He, Rongjie Huang, Chuxin Wang, Zhou Zhao	N/A	N/A
Be Helpful but Don’t Talk too Much - Enhancing Helpfulness in Conversations through Relevance in Multi-Turn Emotional Support	LI Junlin, Bo Peng, Yu-Yin Hsu, Chu-Ren Huang	N/A	N/A
Aligning Language Models to Explicitly Handle Ambiguity	Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim	N/A	N/A
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation	Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li	N/A	N/A
GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models	Xuanchang Zhang, Zhuosheng Zhang, hai zhao	N/A	N/A
Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information	Runze Xia, Congchi Yin, Piji Li	N/A	N/A
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models	Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang	N/A	N/A
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models	Yongjin Yang, Jongwoo Ko, Se-Young Yun	N/A	N/A
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning	Mingqian He, Yongliang Shen, Wenqi Zhang, Zeqi Tan, Weiming Lu	N/A	N/A
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference	Yu Lin, Qizhi Zhang, Quanwei Cai, Jue Hong, Wu Ye, Huiqi Liu, Bing Duan	N/A	N/A
MantisScore: A Reliable Fine-grained Metric for Video Generation	Xuan He, Dongfu Jiang, Ge Zhang, Max Ku, Achint Soni, Sherman Siu, Haonan Chen, Abhranil Chandra, Ziyan Jiang, Aaran Arulraj, Kai Wang, Quy Duc Do, Yuansheng Ni, Bohan Lyu, Yaswanth Narsupalli, Rongqi Fan, Zhiheng Lyu, Bill Yuchen Lin, Wenhu Chen	N/A	N/A
A ∧ B ⇔ B ∧ A: Evaluating and Improving Logical Reasoning Ability of Large Language Models	Yuxuan WAN, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael Lyu	N/A	N/A
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training	Xiaoyang Yi, Yuru Bao, Jian Zhang, Yifang Qin, Faxin Lin	N/A	N/A
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning	Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu, Ya-Qin Zhang	N/A	N/A
I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL Generation	Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen	N/A	N/A
Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm	Michael Wiegand, Josef Ruppenhofer	N/A	N/A
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting	Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong, Kimin Lee, Sung-Ju Lee	N/A	N/A
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization	Seungwoo Son, Wonpyo Park, Woohyun Han, Kyuyeun Kim, Jaeho Lee	N/A	N/A
CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search	Fengran Mo, Abbas Ghaddar, Kelong Mao, Mehdi Rezagholizadeh, Boxing Chen, Qun Liu, Jian-Yun Nie	N/A	N/A
Towards Low-Resource Harmful Meme Detection with LMM Agents	Jianzhao Huang, Hongzhan Lin, ZiyanLiu, Ziyang Luo, Guang Chen, Jing Ma	N/A	N/A
VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values	Zhe Hu, Yixiao Ren, Jing Li, Yu Yin	N/A	N/A
Direct Multi-Turn Preference Optimization for Language Agents	Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng	N/A	N/A
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models	Leonardo Ranaldi, Andre Freitas	N/A	N/A
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search	Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren	N/A	N/A
AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation	Wenhao Huang, Zhouhong Gu, Chenghao Peng, Jiaqing Liang, Zhixu Li, Yanghua Xiao, liqian wen, Zulong Chen	N/A	N/A
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space	Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf	N/A	N/A
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding	Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu	N/A	N/A
Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!	Jiwan Chung, Seungwon Lim, Jaehyun Jeon, Seungbeen Lee, Youngjae Yu	N/A	N/A
Reusing Transferable Weight Increments for Low-resource Style Generation	Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar Zaiane	N/A	N/A
Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course	Cheng-Han Chiang, Wei-Chih Chen, Chun-Yi Kuan, Chienchou Yang, Hung-yi Lee	N/A	N/A
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?	Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler	N/A	N/A
Instruction Pre-Training: Language Models are Supervised Multitask Learners	Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei	N/A	N/A
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models	Renzhi Wang, Piji Li	N/A	N/A
Collaborative Performance Prediction for Large Language Models	Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma	N/A	N/A
Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese	Yuqi Chen, Sixuan Li, Ying Li, Mohammad Atari	N/A	N/A
Knowledge Verification to Nip Hallucination in the Bud	Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi	N/A	N/A
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios	Timo Pierre Schrader, Lukas Lange, Simon Razniewski, Annemarie Friedrich	N/A	N/A
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification	Gregor Geigle, Radu Timofte, Goran Glavaš	N/A	N/A
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models	Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao	N/A	N/A
To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models	Bastien Liétard, Pascal Denis, Mikaela Keller	N/A	N/A
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings	Hao Wang, Hao Li, Minlie Huang, Lei Sha	N/A	N/A
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making	Xiutian Zhao, Ke Wang, Wei Peng	N/A	N/A
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?	Gregor Geigle, Radu Timofte, Goran Glavaš	N/A	N/A
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment	zhenyu liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min zhang	N/A	N/A
MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning	Yufei Ma, Zihan Liang, Huangyu Dai, Ben Chen, Dehong Gao, Zhuoran Ran, ZihanWang, Linbo Jin, Wen Jiang, Guannan Zhang, Xiaoyan Cai, Libin Yang	N/A	N/A
Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification	Pinyi Zhang, Jingyang Chen, Junchen Shen, Zijie Zhai, Ping Li, Jie Zhang, Kai Zhang	N/A	N/A
PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study	Yuqing Zhang, Baoyi He, Yihan Chen, Hangqi Li, Han Yue, Shengyu Zhang, Huaiyong Dou, Junchi Yan, Zemin Liu, Yongquan Zhang, Fei Wu	N/A	N/A
Alignment-Enhanced Decoding: Defending via Token-Level Adaptive Refining of Probability Distributions	Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su	N/A	N/A
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction	Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu	N/A	N/A
Evaluating Large Language Models via Linguistic Profiling	Alessio Miaschi, Felice Dell’Orletta, Giulia Venturi	N/A	N/A
With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models	Tyler Loakman, YUCHENG LI, Chenghua Lin	N/A	N/A
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases	Jiajie Zhang, Shulin Cao, Linmei Hu, Ling Feng, Lei Hou, Juanzi Li	N/A	N/A
Understanding Higher-Order Correlations Among Semantic Components in Embeddings	Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira	N/A	N/A
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection	Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Wei Liu, Xian Wu, Shaorong Xie, Yefeng Zheng	N/A	N/A
Evaluating D-MERIT of Partial-annotation on Information Retrieval	Royi Rassin, Yaron Fairstein, Oren Kalinsky, Guy Kushilevitz, Nachshon Cohen, Alexander Libov, Yoav Goldberg	N/A	N/A
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving	XIN QUAN, Marco Valentino, Louise A. Dennis, Andre Freitas	N/A	N/A
Calibrating the Confidence of Large Language Models by Eliciting Fidelity	Mozhi Zhang, Mianqiu Huang, Rundong Shi, Linsen Guo, Chong Peng, Peng Yan, Yaqian Zhou, Xipeng Qiu	N/A	N/A
Exploring Reward Model Strength’s Impact on Language Models	Yanjun Chen, Dawei Zhu, Yirong Sun, Xinghao Chen, Wei Zhang, Xiaoyu Shen	N/A	N/A
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics	Adrian Cosma, Stefan Ruseti, Mihai Dascalu, Cornelia Caragea	N/A	N/A
Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection	Gaetan Lopez Latouche, Marc-André Carbonneau, Benjamin Swanson	N/A	N/A
CUTE: Measuring LLMs’ Understanding of Their Tokens	Lukas Edman, Helmut Schmid, Alexander Fraser	N/A	N/A
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation	Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min zhang	N/A	N/A
On The Role of Context in Reading Time Prediction	Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Wilcox	N/A	N/A
BC-Prover: Backward Chaining Prover for Formal Theorem Proving	Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin	N/A	N/A
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP	Marius Mosbach, Vagrant Gautam, Tomás Vergara Browne, Dietrich Klakow, Mor Geva	N/A	N/A
Dual Modalities of Text: Visual and Textual Generative Pre-Training	Yekun Chai, Qingyi Liu, Jingwu Xiao, Shuohuan Wang, Yu Sun, Hua Wu	N/A	N/A
On Training Data Influence of GPT Models	Qingyi Liu, Yekun Chai, Shuohuan Wang, Yu Sun, Qiwei Peng, Hua Wu	N/A	N/A
Understanding “Democratization” in NLP and ML Research	Arjun Subramonian, Vagrant Gautam, Dietrich Klakow, Zeerak Talat	N/A	N/A
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models	Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto	N/A	N/A
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages	Seonjeong Hwang, Yunsu Kim, Gary Lee	N/A	N/A
ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws	Ruihang Li, Yixuan Wei, Miaosen Zhang, Nenghai Yu, Han Hu, Houwen Peng	N/A	N/A
Word Alignment as Preference for Machine Translation	Qiyu Wu, Masaaki Nagata, Zhongtao Miao, Yoshimasa Tsuruoka	N/A	N/A
Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence	Yaxin FAN, PEIFENG LI, Qiaoming Zhu	N/A	N/A
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models	Jinghan He, Haiyun Guo, Kuan Zhu, Zihan Zhao, Ming Tang, Jinqiao Wang	N/A	N/A
Neuron-Level Knowledge Attribution in Large Language Models	ZEPING YU, Sophia Ananiadou	N/A	N/A
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning	ZEPING YU, Sophia Ananiadou	N/A	N/A
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis	ZEPING YU, Sophia Ananiadou	N/A	N/A
Pixology: Probing the Linguistic and Visual Knowledge of Pixel-based Language Models	Kushal Tatariya, Vladimir Araujo, Thomas Bauwens, Miryam de Lhoneux	N/A	N/A
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory	Wei Fan, Haoran Li, Zheye Deng, Weiqi Wang, Yangqiu Song	N/A	N/A
Noise, Novels, Numbers. A Framework for Detecting and Categorizing Noise in Danish and Norwegian Literature	ALI ALLAITH, Daniel Hershcovich, Jens Bjerring-Hansen, Jakob Ingemann Parby, Alexander Conroy, Timothy R Tangherlini	N/A	N/A
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models	Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang, Jie Ren, Torsten Hoefler, Dan Alistarh	N/A	N/A
Fine-Grained Prediction of Reading Comprehension from Eye Movements	Omer Shubi, Yoav Meiri, Cfir Avraham Hadar, Yevgeni Berzak	N/A	N/A
Efficient Retriever for Multi-Hop Retrieval Question Answerin	Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang	N/A	N/A
Unsupervised Human Preference Learning	Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai, Dilek Hakkani Tur	N/A	N/A
Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering	Helena Bonaldi, Greta Damo, Nicolás Benjamín Ocampo, Elena Cabrio, Serena Villata, Marco Guerini	N/A	N/A
Leading Whitespaces of Language Models’ Subword Vocabulary Poses a Confound for Calculating Word Probabilities	Byung-Doh Oh, William Schuler	N/A	N/A
LLM4Decompile: Decompiling Binary Code with Large Language Models	Hanzhuo Tan, Qi Luo, Jing Li, Yuqun Zhang	N/A	N/A
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning	Jihao Gu, Zelin Wang, Yibo Zhang, Ziji Zhang, Ping Gong	N/A	N/A
CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering	Yike Wu, Yi Huang, Nan Hu, YUNCHENG HUA, Guilin Qi, Jiaoyan Chen, Jeff Z. Pan	N/A	N/A
MTLS: Making Texts into Linguistic Symbols	Wenlong Fei, Xiaohua Wang, Min Hu, Qingyu Zhang, Hongbo Li	N/A	N/A
D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection	Yifan Chen, Kuntao Li, Weixing Mai, Qiaofeng Wu, Yun Xue, Fenghuan Li	N/A	N/A
A Generic Method for Fine-grained Category Discovery in Natural Language Texts	Chang Tian, Matthew B. Blaschko, Wenpeng Yin, Mingzhe Xing, Yinliang Yue, Marie-Francine Moens	N/A	N/A
Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method	Yang Trista Cao, Lovely-Frances Domingo, Sarah Gilbert, Michelle L. Mazurek, Katherine Shilton, Hal Daumé III	N/A	N/A
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models	Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie	N/A	N/A
Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison	Qian Yang, Weixiang Yan, Aishwarya Agrawal	N/A	N/A
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism	Lang Cao	N/A	N/A
VGBench: A Comprehensive Benchmark of Vector Graphics Understanding and Generation for Large Language Models	Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee	N/A	N/A
What do large language models need for machine translation evaluation?	Shenbin Qian, Archchana Sindhujan, Minnie Kabra, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe, Fred Blain	N/A	N/A
Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale	Flavio Di Palo, Prateek Singhi, Bilal H Fadlallah	N/A	N/A
External Knowledge-Driven Argument Mining: Leveraging Attention-Enhanced Multi-Network Models	Debela Gemechu, Chris Reed	N/A	N/A
C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits	Maaz Bin Musa, Rishab Nithyanand, Padmini Srinivasan, Mihailis E. Diamantis, Steven M. Winston, Garrison Allen, Jacob Schiller, Kevin Moore, Sean Quick, Johnathan Melvin	N/A	N/A
MPT: Multimodal Prompt Tuning for Zero-shot Instruction Learning	Taowen Wang, Yiyang Liu, James Chenhao Liang, junhan zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu	N/A	N/A
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification	Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang	N/A	N/A
Incubating Text Classifiers Following User Instruction with Nothing but LLM	Letian Peng, Zilong Wang, Jingbo Shang	N/A	N/A
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL	Ruilin Luo, Liyuan Wang, Binghuai Lin, Zicheng Lin, Yujiu Yang	N/A	N/A
Conditional and Modal Reasoning in Large Language Models	Wesley H. Holliday, Matthew Mandelkern, Cedegao E. Zhang	N/A	N/A
Advancing Large Language Model Attribution through Self-Improving	Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin	N/A	N/A
AlignCap: Aligning Speech Emotion Captioning to Human Preferences	Ziqi Liang, Haoxiang Shi, Hanhui Chen	N/A	N/A
Interpretability-based Tailored Knowledge Editing in Transformers	Yihuai Hong, Aldo Lipani	N/A	N/A
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling	Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan	N/A	N/A
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting	Chen Cai, Zheng Wang, Jianjun Gao, Wenyang Liu, Ye Lu, Runzhong Zhang, Kim-Hui Yap	N/A	N/A
Dissecting Fine-Tuning Unlearning in Large Language Models	Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang	N/A	N/A
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models	Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, zhiheng huang	N/A	N/A
Where is the signal in tokenization space?	Renato Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck	N/A	N/A
Private Language Models via Truncated Laplacian Mechanism	Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang	N/A	N/A
Estimating Knowledge in Large Language Models Without Generating a Single Token	Daniela Gottesman, Mor Geva	N/A	N/A
Consistent Autoformalization for Constructing Mathematical Libraries	Lan Zhang, XIN QUAN, Andre Freitas	N/A	N/A
Contextual and Parametric Knowledge: More Context, More Focus	Yufei Tao, Adam Hiatt, Erik Haake, Antonie J. Jetter, Ameeta Agrawal	N/A	N/A
Semantic Training Signals Promote Hierarchical Syntactic Generalization in Transformers	Aditya Yedetore, Najoung Kim	N/A	N/A
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages	Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Ben Bergen	N/A	N/A
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use	Jiajun Xi, Yinong He, Jianing Yang, Yinpei Dai, Joyce Chai	N/A	N/A
MiTTenS: A Dataset for Evaluating Gender Mistranslation	Kevin Robinson, Sneha Kudugunta, Romina Stella, Sunipa Dev, Jasmijn Bastings	N/A	N/A
Teaching LLMs to Abstain across Languages via Multilingual Feedback	Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov	N/A	N/A
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration	Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov	N/A	N/A
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements	Jillian Fisher, Skyler Hallinan, Ximing Lu, Mitchell L Gordon, Zaid Harchaoui, Yejin Choi	N/A	N/A
I Could’ve Asked That: Reformulating Unanswerable Questions	Wenting Zhao, Ge Gao, Claire Cardie, Alexander M Rush	N/A	N/A
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions	Robert Morabito, Sangmitra Madhusudan, Tyler McDonald, Ali Emami	N/A	N/A
Hidden Persuaders: How LLM Political Bias Could Sway Our Elections	Yujin Potter, Shiyang Lai, Junsol Kim, James Evans, Dawn Song	N/A	N/A
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning	Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu	N/A	N/A
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives	Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu	N/A	N/A
An Analysis of Multilingual FActScore	Vu Trong Kim, Michael Krumdick, Varshini Reddy, Franck Dernoncourt, Viet Dac Lai	N/A	N/A
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models	Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo	N/A	N/A
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering	Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli	N/A	N/A
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval	Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon	N/A	N/A
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects	Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, Yulia Tsvetkov	N/A	N/A
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback	Ju-Seung Byun, Jiyun Chun, Jihyung Kil, Andrew Perrault	N/A	N/A
Order of Magnitude Speedups for LLM Membership Inference	Rongting Zhang, Martin Andres Bertran, Aaron Roth	N/A	N/A
VIMI: Grounding Video Generation through Multi-modal Instruction	Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chieh Wang, Ivan Skorokhodov, Graham Neubig, Sergey Tulyakov	N/A	N/A
F$^2$RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation	Haiyang Wang, Yuchen Pan, Xin Song, Xuechen Zhao, Minghao Hu, Bin Zhou	N/A	N/A
Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning	Chang Yang, Peng Zhang, Hui Gao, Jing Zhang	N/A	N/A
Visual Prompting in LLMs for Enhancing Emotion Recognition	Qixuan Zhang, Zhifeng Wang, Dylan Zhang, Yang Liu, Zhenyue Qin, Wenjia Niu, Sabrina Caldwell, Tom Gedeon	N/A	N/A
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding	Pengcheng Li, Xulong Zhang, Jing Xiao, Jianzong Wang	N/A	N/A
Leveraging Conflicts in Social Media Posts: Unintended Offense Dataset	Che Wei Tsai, Yen-Hao Huang, Tsu-keng Liao, Didier Fernando Salazar Estrada, Retnani Latifah, Yi-Shin Chen	N/A	N/A
Outcome-Constrained Large Language Models for Countering Hate Speech	Lingzi Hong, Pengcheng Luo, Eduardo Blanco, Xiaoying Song	N/A	N/A
Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing	Changbing Yang, Garrett Nicolai, Miikka Silfverberg	N/A	N/A
Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks	Ao Wang, Xinghao Yang, Chen Li, Bao-di Liu, Weifeng Liu	N/A	N/A
Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping	Yangyang Zhao, Ben Niu, Mehdi Dastani, Shihan Wang	N/A	N/A
PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling	Huachuan Qiu, Lizhi Ma, Zhenzhong Lan	N/A	N/A
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering	Jiacong Wang, Bohong Wu, Haiyong Jiang, Haoyuan Guo, Xin Xiao, zhou Xun, Jun Xiao	N/A	N/A
DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering	Jing Jin, Houfeng Wang, Hao Zhang, Xiaoguang Li, Zhijiang Guo	N/A	N/A
How Do Humans Write Code? Large Models Do It the Same Way Too	Long Li, Xuzheng He, Haozhe Wang, Linlin Wang, Liang He	N/A	N/A
Retrospex: Language Agent Meets Offline Reinforcement Learning Critic	Yufei Xiang, Yiqun Shen, Yeqin Zhang, Nguyen Cam-Tu	N/A	N/A
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models	Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, JingBo Zhu	N/A	N/A
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation	Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang, Enhong Chen	N/A	N/A
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation	Renhao Li, Minghuan Tan, Derek F. Wong, Min Yang	N/A	N/A
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners	Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie J Su, Camillo Jose Taylor, Dan Roth	N/A	N/A
Bayesian Calibration of Win Rate Estimation with LLM Evaluators	Yicheng Gao, Gonghan Xu, Zhe Wang, Arman Cohan	N/A	N/A
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning	Shuo Yin, Weihao You, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai	N/A	N/A
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients	Weijun Li, Qiongkai Xu, Mark Dras	N/A	N/A
RWKV-CLIP: A Robust Vision-Language Representation Learner	Tiancheng Gu, Kaicheng Yang, Xiang An, Ziyong Feng, Dongnan Liu, Weidong Cai, Jiankang Deng	N/A	N/A
KidLM: Advancing Language Models for Children – Early Insights and Future Directions	Mir Tafseer Nayeem, Davood Rafiei	N/A	N/A
Using Language Models to Disambiguate Lexical Choices in Translation	Josh Barua, Sanjay Subramanian, Kayo Yin, Alane Suhr	N/A	N/A
How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?	Zhuoyan Li, Chen Liang, Jing Peng, Ming Yin	N/A	N/A
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records	Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob Drachmann Havtorn, Tuukka Ruotsalo	N/A	N/A
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs	Zheng Wang, Zhongyang Li, Jiang Zeren, Dandan Tu, Wei Shi	N/A	N/A
EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation	Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Ruhi Sarikaya, Kevin Small, Heng Ji	N/A	N/A
Predicting Nonnative Sentence Processing with L2LMs	Tatsuya Aoyama, Nathan Schneider	N/A	N/A
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis	Chuanqi Cheng, Jian Guan, Wei Wu, Rui Yan	N/A	N/A
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs	Shadi Iskander, Sofia Tolmach, Ori Shapira, Nachshon Cohen, Zohar Karnin	N/A	N/A
Cross-Domain Audio Deepfake Detection: Dataset and Analysis	Yuang Li, Min Zhang, Mengxin Ren, Xiaosong Qiao, Miaomiao Ma, Daimeng Wei, Hao Yang	N/A	N/A
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension	Ting Liu, Zunnan Xu, Zhiqiang Wang, Yue Hu, Liangtao Shi, Quanjun Yin	N/A	N/A
Investigating How Large Language Models Leverage Internal Knowledge to Perform Complex Reasoning	Miyoung Ko, Sue Hyun Park, Joonsuk Park, Minjoon Seo	N/A	N/A
Aligning Translation-Specific Understanding to General Understanding in Large Language Models	Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin	N/A	N/A
FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation	Mohamad Ballout, Anne Dedert, Nohayr Muhammad Abdelmoneim, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger	N/A	N/A
Concept-skill Transferability-based Data Selection for Large Vision-Language Models	Jaewoo Lee, Boyang Li, Sung Ju Hwang	N/A	N/A
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing	Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi LIU, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin	N/A	N/A
Academics Can Contribute to Domain-Specialized Language Models	Mark Dredze, Genta Indra Winata, Prabhanjan Kambadur, Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, David S Rosenberg, Sebastian Gehrmann	N/A	N/A
Beyond Reference: Evaluating High Quality Translations Better than Human References	Keonwoong Noh, Seokjin Oh, Woohwan Jung	N/A	N/A
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement	Pengwei Zhan, Zhen Xu, Qian Tan, Jie Song, Ru Xie	N/A	N/A
SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages	Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, Lester James Validad Miranda, Jennifer Santoso, Elyanah Aco, Akhdan Fadhilah, Jonibek Mansurov, Joseph Marvin Imperial, Onno P. Kampman, Joel Ruben Antony Moniz, Muhammad Ravi Shulthan Habibi, Frederikus Hudi, Jann Railey Montalan, Ryan Ignatius Hadiwijaya, Joanito Agili Lopo, William Nixon, Börje F. Karlsson, James Jaya, Ryandito Diandaru, Yuze GAO, Patrick Amadeus Irawan, Bin Wang, Jan Christian Blaise Cruz, Chenxi Whitehouse, Ivan Halim Parmonangan, Maria Khelli, Wenyu Zhang, Lucky Susanto, Reynard Adha Ryanda, Sonny Lazuardi Hermawan, Dan John Velasco, Muhammad Dehan Al Kautsar, Willy Fitra Hendria, Yasmin Moslem, Noah Flynn, Muhammad Farid Adilazuarda, Haochen Li, Johanes Lee, R. Damanhuri, Shuo Sun, Muhammad Reza Qorib, Amirbek Djanibekov, Wei Qi Leong, Quyet V. Do, Niklas Muennighoff, Tanrada Pansuwan, Ilham Firdausi Putra, Yan Xu, Tai Ngee Chia, Ayu Purwarianti, Sebastian Ruder, William Chandra Tjhi, Peerat Limkonchotiwat, Alham Fikri Aji, Sedrick Keh, Genta Indra Winata, Ruochen Zhang, Fajri Koto, Zheng Xin Yong, Samuel Cahyawijaya	N/A	N/A
Induct-Learn: Short Phrase Prompting with Instruction Induction	Po-Chun Chen, Sheng-Lun Wei, Hen-Hsen Huang, Hsin-Hsi Chen	N/A	N/A
Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning	Shi Mingcong, Chunjiang Zhu, Detian Zhang, Shiting Wen, Qing Li	N/A	N/A
LUQ: Long-text Uncertainty Quantification for LLMs	Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier	N/A	N/A
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method	Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng	N/A	N/A
Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars	Damien Sileo	N/A	N/A
Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach	Maxime Poli, Emmanuel Chemla, Emmanuel Dupoux	N/A	N/A
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model	Jia-Ying Zheng, Hainan Zhang, Lingxiang Wang, Wangjie Qiu, Hong-Wei Zheng, Zhi-Ming Zheng	N/A	N/A
Formality Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge	Jiahuan Li, Yiqing Cao, Shujian Huang, Jiajun Chen	N/A	N/A
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?	Yang Luo, Zangwei Zheng, Zirui Zhu, Yang You	N/A	N/A
How Far Can We Extract Diverse Perspectives from Large Language Models?	Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal, Dongyeop Kang	N/A	N/A
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning	Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Mohan Yerragorla, Sourangshu Bhattacharya, Avishek Anand	N/A	N/A
An LLM Feature-based Framework for Dialogue Constructiveness Assessment	Lexin Zhou, Youmna Farag, Andreas Vlachos	N/A	N/A
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System	Zhanpeng Chen, Zhihong Zhu, Wanshi Xu, Xianwei Zhuang, Yuexian Zou	N/A	N/A
Dialog2Flow: Pre-training Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction	Sergio Burdisso, Srikanth Madikeri, Petr Motlicek	N/A	N/A
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation	Raphael Tang, Crystina Zhang, Lixinyu Xu, Yao Lu, Wenyan Li, Pontus Stenetorp, Jimmy Lin, Ferhan Ture	N/A	N/A
Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024	Ilias Chalkidis	N/A	N/A
Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning	Mayi Xu, Yongqi Li, Ke Sun, Tieyun Qian	N/A	N/A
LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations	Shengda Fan, Yanting Wang, Shasha Mo, Jianwei Niu	N/A	N/A
Concept Space Alignment in Multilingual LLMs	Qiwei Peng, Anders Søgaard	N/A	N/A
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model	Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou	N/A	N/A
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian	Peng Liu, Lemei Zhang, Terje Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang	N/A	N/A
RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework	Yifan Wang, Vera Demberg	N/A	N/A
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models	Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang	N/A	N/A
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems	Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam .	N/A	N/A
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering	Yuhao Wang, Ruiyang Ren, Junyi Li, Xin Zhao, Jing Liu, Ji-Rong Wen	N/A	N/A
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA	Minzheng Wang, Longze Chen, ChengFu, Liaoshengyi, Xinghua Zhang, Bingliwu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li	N/A	N/A
On Mitigating Performance Disparities in Multilingual Speech Recognition	Monorama Swain, Anna Katrine van Zee, Anders Søgaard	N/A	N/A
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting	Stephen Meisenbacher, Florian Matthes	N/A	N/A
From Coarse to Fine: Impacts of Feature-Preserving and Feature-Compressing Connectors on Perception in Multimodal Models	Junyan Lin, Haoran Chen, Dawei Zhu, Xiaoyu Shen	N/A	N/A
What is ‘‘Typological Diversity’’ in NLP?	Esther Ploeger, Wessel Poelman, Miryam de Lhoneux, Johannes Bjerva	N/A	N/A
The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse	Xiaobo Guo, Neil Potnis, Melody Yu, Nabeel Gillani, Soroush Vosoughi	N/A	N/A
Consistent Bidirectional Language Modelling: Expressive Power and Representational Conciseness	Georgi Shopov, Stefan Gerdjikov	N/A	N/A
Benchmarking Vision Language Models for Cultural Understanding	Shravan Nayak, Kanishk Jain, Rabiul Awal, Siva Reddy, Sjoerd van Steenkiste, Lisa Anne Hendricks, Karolina Stanczak, Aishwarya Agrawal	N/A	N/A
Methods of Automatic Matrix Language Determination for Code-Switched Speech	Olga Iakovenko, Thomas Hain	N/A	N/A
Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts	Jaewook Lee, Yeajin Jang, Hongjin KIM, Woojin Lee, Harksoo Kim	N/A	N/A
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models	Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar	N/A	N/A
Teaching Small Language Models Reasoning through Counterfactual Distillation	FengTao, Yicheng Li, Li Chenglin, Hao Chen, Fei Yu, Yin Zhang	N/A	N/A
Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese	Meet Doshi, Raj Dabre, Pushpak Bhattacharyya	N/A	N/A
Quantifying the Gap Between Machine Translation and Native Language in Training for Multimodal, Multilingual Retrieval	Kyle Buettner, Adriana Kovashka	N/A	N/A
MTA4DPR: Multi-Teaching-Assistants Based Iterative Knowledge Distillation for Dense Passage Retrieval	Qixi Lu, Gongbo Tang	N/A	N/A
Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates	Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, Steffen Eger	N/A	N/A
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling	Yu Bai, Xiyuan Zou, Heyan Huang, Sanxing Chen, Marc-Antoine Rondeau, Yang Gao, Jackie CK Cheung	N/A	N/A
Story Embeddings — Narrative-Focused Representations of Fictional Stories	Hans Ole Hatzel, Chris Biemann	N/A	N/A
C-LLM: Learn to Check Chinese Spelling Errors Character by Character	Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou	N/A	N/A
PSC: Extending Context Window of Large Language Models via Phase Shift Calibration	Wenqiao Zhu, Chao Xu, Lulu Wang, Jun Wu	N/A	N/A
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection	Bin Lin, Yang Ye, Bin Zhu, Jiaxi Cui, Munan Ning, Peng Jin, Li Yuan	N/A	N/A
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales	Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao	N/A	N/A
Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing	Richard Diehl Martinez, Zebulon Goriely, Andrew Caines, Paula Buttery, Lisa Beinborn	N/A	N/A
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations	Yunze Xiao, Yujia Hu, Kenny Tsu Wei Choo, Roy Ka-Wei Lee	N/A	N/A
Boosting Scientific Concepts Understanding: Can Analogies from Teacher Models Empower Student Models?	Siyu Yuan, Cheng Jiayang, Lin Qiu, Deqing Yang	N/A	N/A
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation	Jirui Qi, Gabriele Sarti, Raquel Fernández, Arianna Bisazza	N/A	N/A
Do Large Language Models Know How Much They Know?	Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar	N/A	N/A
Investigating Mysteries of CoT-Augmented Distillation	Somin Wadhwa, Silvio Amir, Byron C Wallace	N/A	N/A
SciPrompt: Knowledge-Augmented Prompting for Fine-Grained Categorization of Scientific Topics	Zhiwen You, Kanyao Han, Haotian Zhu, Bertram Ludaescher, Jana Diesner	N/A	N/A
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP	Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi	N/A	N/A
Learning from Natural Language Explanations for Generalizable Entity Matching	Somin Wadhwa, ADIT KRISHNAN, Runhui Wang, Byron C Wallace, Luyang Kong	N/A	N/A
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation	Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Sricharan Kumar, Murat Kantarcioglu, Bradley A. Malin	N/A	N/A
On the Reliability of Psychological Scales on Large Language Models	Jen-tse Huang, Wenxuan Wang, Man Ho LAM, Eric John Li, Wenxiang Jiao, Michael Lyu	N/A	N/A
Contrastive Entity Coreference and Disambiguation for Historical Texts	Abhishek Arora, Emily Silcock, Melissa Dell, Leander Heldring	N/A	N/A
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models	Jeonghwan Kim, Heng Ji	N/A	N/A
Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts	Sumit Asthana, Hannah Rashkin, Elizabeth Clark, Fantine Huot, Mirella Lapata	N/A	N/A
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment	Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu	N/A	N/A
Focused Large Language Models are Stable Many-Shot Learners	Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li	N/A	N/A
Reconsidering Sentence-Level Sign Language Translation	Garrett Tanzer, Maximus Shengelia, Ken Harrenstien, David Uthus	N/A	N/A
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities	Sreyan Ghosh, Sonal Kumar, Ashish Seth, Chandra Kiran Reddy Evuru, Utkarsh Tyagi, S Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha	N/A	N/A
Verba volant, scripta volant? Don’t worry! There are computational solutions for protoword reconstruction	Liviu P Dinu, Ana Sabina Uban, Alina Maria Cristea, Ioan-Bogdan Iordache, Teodor-George Marchitan, Simona Georgescu, Laurentiu Zoicas	N/A	N/A
ChatGPT Doesn’t Trust LA Chargers Fans: Guardrail Sensitivity in Context	Victoria R Li, Yida Chen, Naomi Saphra	N/A	N/A
Personas as a Way to Model Truthfulness in Language Models	Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He	N/A	N/A
Satyrn: A Platform for Analytics Augmented Generation	Marko Sterbentz, Cameron Barrie, Shubham Shahi, Abhratanu Dutta, Donna Hooshmand, Harper Pack, Kristian J Hammond	N/A	N/A
EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning	Ashish Seth, Ramaneswaran S, S Sakshi, Sonal Kumar, Sreyan Ghosh, Dinesh Manocha	N/A	N/A
EPO: Hierarchical LLM Agents with Environment Preference Optimization	Qi Zhao, Haotian Fu, Chen Sun, George Konidaris	N/A	N/A
Detection and Measurement of Syntactic Templates in Generated Text	Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C Wallace	N/A	N/A
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models	Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, ChengXiang Zhai, Klara Nahrstedt, Zhiting Hu	N/A	N/A
Optimized Speculative Sampling for GPU Hardware Accelerators	Dominik Wagner, Seanie Lee, Ilja Baumann, Philipp Seeberger, Korbinian Riedhammer, Tobias Bocklet	N/A	N/A
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts	Zhaoxuan Tan, Zheyuan Liu, Meng Jiang	N/A	N/A
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning	Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang	N/A	N/A
Unifying Multimodal Retrieval via Document Screenshot Embedding	Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin	N/A	N/A
Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation	Shaomu Tan, Di Wu, Christof Monz	N/A	N/A
An Audit on the Perspectives and Challenges of Hallucinations in NLP	Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs, Mukund Srinath, Koustava Goswami, Sarah Rajtmajer, Shomir Wilson	N/A	N/A
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models	Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut	N/A	N/A
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models	Junjie Chu, Zeyang Sha, Michael Backes, Yang Zhang	N/A	N/A
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering	Armin Toroghi, Willis Guo, Mohammad Mahdi Abdollah Pour, Scott Sanner	N/A	N/A
Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution	Armin Toroghi, Willis Guo, Ali Pesaranghader, Scott Sanner	N/A	N/A
Understanding and Mitigating Language Confusion in LLMs	Kelly Marchisio, Wei-Yin Ko, Alexandre Berard, Théo Dehaze, Sebastian Ruder	N/A	N/A
Can Large Language Models Learn Independent Causal Mechanisms?	Gael Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie	N/A	N/A
MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models	Sarfaroz Yunusov, Hamza Sidat, Ali Emami	N/A	N/A
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context	Ziyi Liu, Abhishek Anand, Pei Zhou, Jen-tse Huang, Jieyu Zhao	N/A	N/A
Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia	Farhan Samir, Chan Young Park, Vered Shwartz, Anjalie Field, Yulia Tsvetkov	N/A	N/A
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models	Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, EunJeong Hwang, Vered Shwartz	N/A	N/A
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation	Karin De Langis, Ryan Koo, Dongyeop Kang	N/A	N/A
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model	Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu	N/A	N/A
Learning to Extract Structured Entities Using Language Models	Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra	N/A	N/A
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons	Adian Liusie, Vatsal Raina, Yassir Fathullah, Mark Gales	N/A	N/A
A Survey of AMR Applications	Shira Wein, Juri Opitz	N/A	N/A
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning	Yiwu Zhong, Zi-Yuan Hu, Michael Lyu, Liwei Wang	N/A	N/A
CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation	Shahla Farzana, Ivana Lucero, Vivian Villegas, Vera C Kaelin, Mary Khetani, Natalie Parde	N/A	N/A
Secured Weight Release for Large Language Models via Taylor Expansion	Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu	N/A	N/A
TimeR$^4$ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering	Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Li Zhang, Kehui Song	N/A	N/A
Knowledge-Centric Hallucination Detection	Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang	N/A	N/A
Revealing the Parallel Multilingual Learning within Large Language Models	Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, JingBo Zhu	N/A	N/A
Automatic Instruction Evolving for Large Language Models	Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen	N/A	N/A
RepEval: Effective Text Evaluation with LLM Representation	Shuqian Sheng, Yi Xu, Tianhang Zhang, Zanwei Shen, Luoyi Fu, Jiaxin Ding, Lei Zhou, Xiaoying Gan, Xinbing Wang, Chenghu Zhou	N/A	N/A
Generative Models for Automatic Medical Decision Rule Extraction from Text	Yuxin He, Buzhou Tang, Xiaoling Wang	N/A	N/A
Encoding and Controlling Global Semantics for Long-form Video Question Answering	Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu	N/A	N/A
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis	Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang	N/A	N/A
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs	Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun	N/A	N/A
Does Large Language Model Contain Task-Specific Neurons?	Ran Song, Shizhu He, Shuting Jiang, Yantuan Xian, Shengxiang Gao, Kang Liu, Zhengtao Yu	N/A	N/A
Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models	Philipp Mondorf, Barbara Plank	N/A	N/A
Advancing Test-Time Adaptation in Wild Acoustic Test Settings	Hongfu Liu, Hengguan Huang, Ye Wang	N/A	N/A
Learning to Retrieve Iteratively for In-Context Learning	Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme	N/A	N/A
Taxonomy-guided Semantic Indexing for Academic Paper Search	SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu	N/A	N/A
Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts	Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che	N/A	N/A
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models	Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh	N/A	N/A
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation	Zhiyu Cao, PEIFENG LI, Yaxin FAN, Qiaoming Zhu	N/A	N/A
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs	Yiyuan Li, Shichao Sun, Pengfei Liu	N/A	N/A
Aligning Large Language Models with Diverse Political Viewpoints	Dominik Stammbach, Philine Widmer, Eunjung Cho, Caglar Gulcehre, Elliott Ash	N/A	N/A
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations	Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III	N/A	N/A
Extending Context Window of Large Language Models from a Distributional Perspective	Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin	N/A	N/A
Leveraging pre-trained language models for linguistic analysis: A case of argument structure constructions	Hakyung Sung, Kristopher Kyle	N/A	N/A
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration	Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng	N/A	N/A
Position Engineering: Boosting Large Language Models through Positional Information Manipulation	Zhiyuan He, Huiqiang Jiang, Zilong Wang, Yuqing Yang, Luna K. Qiu, Lili Qiu	N/A	N/A
Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale	Junying Chen, Chi Gui, OuyangRuyi, Anningzhe Gao, Shunian Chen, Guiming Hardy Chen, Xidong Wang, Zhenyang Cai, Ke Ji, Xiang Wan, Benyou Wang	N/A	N/A
ADELIE: Aligning Large Language Models on Information Extraction	Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li	N/A	N/A
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons	Yifei Wang, Yuheng Chen, Wanting Wen, Yu Sheng, Linjing Li, Daniel Dajun Zeng	N/A	N/A
Lexically Grounded Subword Segmentation	Jindřich Libovický, Jindřich Helcl	N/A	N/A
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees	Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang	N/A	N/A
Do Text-to-Vis Benchmarks Test Real Use of Visualizations?	Hy Nguyen, Xuefei He, Andrew Reeson, Cecile Paris, Josiah Poon, Jonathan K. Kummerfeld	N/A	N/A
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs	Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu	N/A	N/A
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning	Jingyu Hu, Weiru Liu, Mengnan Du	N/A	N/A
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges	Nguyen Van Dinh, Thanh Chi Dang, Luan Thanh Nguyen, Kiet Van Nguyen	N/A	N/A
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment	Vyas Raina, Adian Liusie, Mark Gales	N/A	N/A
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal	Zhicong Lu, Li Jin, PeiguangLi, Yu Tian, Linhao Zhang, Sirui Wang, Guangluan Xu, Changyuan Tian, Xunliang Cai	N/A	N/A
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs	Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu	N/A	N/A
Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models	Vyas Raina, Rao Ma, Charles McGhee, Kate Knill, Mark Gales	N/A	N/A
GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation	Georgios Katsimpras, Georgios Paliouras	N/A	N/A
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs	Zichen Chen, Jianda Chen, Ambuj Singh, Misha Sra	N/A	N/A
Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning	Yuanpin Zhou, Huogen Wang	N/A	N/A
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information	Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng	N/A	N/A
UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models	Zhanyue Qin, Haochuan Wang, Deyuan Liu, Ziyang Song, Cunhang Fan, Zhao Lv, Jinlin Wu, Zhen Lei, Zhiying Tu, Dianhui Chu, Xiaoyan Yu, Dianbo Sui	N/A	N/A
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments	Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su	N/A	N/A
MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space	Yihong Tang, Bo Wang, Dongming Zhao, Jinxiaojia, Zhangjijun, Ruifang He, Yuexian Hou	N/A	N/A
KnowledgeSG: Privacy-Preserving Synthetic Text Generation With Knowledge Distillation From Server	WenHao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang	N/A	N/A
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination	Xuan Gong, Tianshi Ming, Xinpeng Wang, Zhihua Wei	N/A	N/A
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models	Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao	N/A	N/A
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale	Wenzhen Zheng, Wenbo Pan, Xu Xu, Libo Qin, Li Yue, Ming Zhou	N/A	N/A
An Empirical Study of Multilingual Reasoning Distillation for Question Answering	Patomporn Payoungkhamdee, Peerat Limkonchotiwat, Jinheon Baek, Potsawee Manakul, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong	N/A	N/A
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?	Gal Yona, Roee Aharoni, Mor Geva	N/A	N/A
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?	Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig	N/A	N/A
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning	Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee	N/A	N/A
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding	Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao JING, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Long Chen, Yangqiu Song	N/A	N/A
ECON: On the Detection and Resolution of Evidence Conflicts	Cheng Jiayang, Qianqian Zhuang, Chunkit Chan, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang	N/A	N/A
“Image, Tell me your story!” Predicting the original meta-context of visual misinformation	Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych	N/A	N/A
Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning	Zhili Shen, Pavlos Vougiouklis, Chenxin Diao, Kaustubh Vyas, Yuanyi Ji, Jeff Z. Pan	N/A	N/A
Mixture-of-Subspaces in Low-Rank Adaptation	Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong	N/A	N/A
A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data	Ishaan Watts, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram	N/A	N/A
LawBench: Benchmarking Legal Knowledge of Large Language Models	Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Alan Huang, Songyang Zhang, Kai Chen, Zhixin Yin, Zongwen Shen, Jidong Ge, Vincent Ng	N/A	N/A
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards	Furkan Şahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych	N/A	N/A
Efficient Vision-Language pre-training via domain-specific learning for human activities	Adrian Bulat, Yassine Ouali, Ricardo Guerrero, Brais Martinez, Georgios Tzimiropoulos	N/A	N/A
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training	Wenbo Li, Guohao Li, Zhibin Lan, Xue Xu, Wanru Zhuang, Jiachen Liu, Xinyan Xiao, Jinsong Su	N/A	N/A
Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works	Xinfeng Yuan, Siyu Yuan, Yuhan Cui, Tianhe Lin, Xintao Wang, Rui Xu, Jiangjie Chen, Deqing Yang	N/A	N/A
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners	Shimao Zhang, Changjiang Gao, Wenhao Zhu, Jiajun Chen, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang	N/A	N/A
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning	Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin	N/A	N/A
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models	Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li	N/A	N/A
mDPO: Conditional Preference Optimization for Multimodal Large Language Models	Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen	N/A	N/A
Data Advisor: Data Curation with Foresight for Safety Alignment of Large Language Models	Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan	N/A	N/A
Language-to-Code Translation with a Single Labeled Example	Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Benjamin Van Durme, Jason Eisner, Jacob Andreas	N/A	N/A
Attribute or Abstain: Large Language Models as Long Document Assistants	Jan Buchmann, Xiao Liu, Iryna Gurevych	N/A	N/A
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models	Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma	N/A	N/A
Retrieved In-Context Principles from Previous Mistakes	Hao Sun, Yong Jiang, Bo Wang, Yingyan Hou, Yan Zhang, Pengjun Xie, Fei Huang	N/A	N/A
EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control	Haozhe Chen, Run Chen, Julia Hirschberg	N/A	N/A
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models	Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang	N/A	N/A
Deterministic Weighted L* Algorithm	Clemente Pasti, Talu Karagöz, Franz Nowak, Anej Svete, Ryan Cotterell	N/A	N/A
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection	Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin	N/A	N/A
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification	Pritish Sahu, Karan Sikka, Ajay Divakaran	N/A	N/A
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes	Yusuke Hirota, Jerone Andrews, Dora Zhao, Orestis Papakyriakopoulos, Apostolos Modas, Yuta Nakashima, Alice Xiang	N/A	N/A
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?	Di Cao, Yong Liao, Xiuwei Shang	N/A	N/A
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel	Brendan King, Jeffrey Flanigan	N/A	N/A
Humans or LLMs as the Judge? A Study on Judgement Bias	Guiming Hardy Chen, Shunian Chen, Ziche Liu, Feng Jiang, Benyou Wang	N/A	N/A
WPO: Enhancing RLHF with Weighted Preference Optimization	Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu	N/A	N/A
Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias	Rongwu Xu, Zian Zhou, Tianwei Zhang, Zehan Qi, SU YAO, Ke Xu, Wei Xu, Han Qiu	N/A	N/A
MetaReflection: Learning Instructions for Language Agents using Past Reflections	Priyanshu Gupta, Shashank Kirtania, Ananya Singha, Sumit Gulwani, Arjun Radhakrishna, Gustavo Soares, Sherry Shi	N/A	N/A
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors	Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan	N/A	N/A
On Eliciting Syntax from Language Models via Hashing	Yiran Wang, Masao Utiyama	N/A	N/A
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios	Zetian Ouyang, Yishuai Qiu, Linlin Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He	N/A	N/A
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples	Heng Yang	N/A	N/A
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages	Pretam Ray, Jivnesh Sandhan, Amrith Krishna, Pawan Goyal	N/A	N/A
Perceptions of Linguistic Uncertainty by Language Models and Humans	Catarina G Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth	N/A	N/A
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM	Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung	N/A	N/A
Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding	Xiaoyu DONG, Yujie Feng, ZEXIN LU, Guangyuan SHI, Xiao-Ming Wu	N/A	N/A
Knowledge Conflicts for LLMs: A Survey	Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru WANG, Yue Zhang, Wei Xu	N/A	N/A
Generative AI in the Era of “Alternative Facts”	Saadia Gabriel, Liang Lyu, James Siderius, Marzyeh Ghassemi, Jacob Andreas, Asuman E. Ozdaglar	N/A	N/A
MEANT: Multimodal Encoder for Antecedent Information	Benjamin Irving, Annika Marie Schoene	N/A	N/A
A Thorough Examination of Decoding Methods in the Era of LLMs	Chufan Shi, HAORAN YANG, Deng Cai, Zhisong Zhang, Yifan Wang, Yujiu Yang, Wai Lam	N/A	N/A
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings	Revanth Gangi Reddy, Omar Attia, Yunyao Li, Heng Ji, Saloni Potdar	N/A	N/A
FIRST: Faster Improved Listwise Reranking with Single Token Decoding	Revanth Gangi Reddy, JaeHyeok Doo, Yifei Xu, Md Arafat Sultan, Deevya Swain, Avirup Sil, Heng Ji	N/A	N/A
Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights	Hongjin KIM, Jai-Eun Kim, Harksoo Kim	N/A	N/A
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods	Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Zhenqiang Gong, Bhuwan Dhingra	N/A	N/A
“Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models	Karina H Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut	N/A	N/A
Revisiting Who’s Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective	Yujian Liu, Yang Zhang, Tommi Jaakkola, Shiyu Chang	N/A	N/A
LIONs: An Empirically Optimized Approach to Align Language Models	Xiao Yu, Qingyang Wu, Yu Li, Zhou Yu	N/A	N/A
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing	Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada	N/A	N/A
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery	Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han	N/A	N/A
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents	Liyan Tang, Philippe Laban, Greg Durrett	N/A	N/A
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning	John Wu, David Wu, Jimeng Sun	N/A	N/A
MOSEL: Inference Serving Using Dynamic Modality Selection	Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J Yadwadkar, Aditya Akella	N/A	N/A
From RAG to Riches: Retrieval Interlaced with Sequence Generation	Palak Jain, Livio Baldini Soares, Tom Kwiatkowski	N/A	N/A
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition	Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee	N/A	N/A
Learning to Correct for QA Reasoning with Black-box LLMs	Jaehyung Kim, Dongyoung Kim, Yiming Yang	N/A	N/A
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?	Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant	N/A	N/A
PostMark: A Robust Blackbox Watermark for Large Language Models	Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Frederick Wieting, Mohit Iyyer	N/A	N/A
Assessing “Implicit” Retrieval Robustness of Large Language Models	Xiaoyu Shen, Rexhina Blloshmi, Dawei Zhu, Jiahuan Pei, Wei Zhang	N/A	N/A
On the Relationship between Truth and Political Bias in Language Models	Suyash Fulay, William Brannon, Shrestha Mohanty, Cassandra Overney, Elinor Poole-Dayan, Deb Roy, Jad Kabbara	N/A	N/A
Can Active Label Correction Improve LLM-based Modular AI Systems?	Karan Taneja, Ashok Goel	N/A	N/A
Statistical Uncertainty in Word Embeddings: GloVe-V	Andrea Vallebueno, Cassandra Handan-Nader, Christopher D Manning, Daniel E. Ho	N/A	N/A
Annotation alignment: Comparing LLM and human annotations of conversational safety	Rajiv Movva, Pang Wei Koh, Emma Pierson	N/A	N/A
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions	Nigel Fernandez, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Otero Ornelas, Andrew Lan	N/A	N/A
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention	Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang	N/A	N/A
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models	Yuetai Li, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Dinuka Sahabandu, Bhaskar Ramasubramanian, Radha Poovendran	N/A	N/A
Enhancing Reinforcement Learning with Intrinsic Rewards from Language Model Critique	Meng Cao, Lei Shu, Lei Yu, Yun Zhu, Nevan Wichers, Yinxiao Liu, Lei Meng	N/A	N/A
Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models	Layla Bouzoubaa, Elham Aghakhani, Shadi Rezapour	N/A	N/A
Efficient Sequential Decision Making with Large Language Models	Dingyang Chen, Qi Zhang, Yinglun Zhu	N/A	N/A
SignCLIP: Connecting Text and Sign Language by Contrastive Learning	Zifan Jiang, Gerard Sant, Amit Moryossef, Mathias Müller, Rico Sennrich, Sarah Ebling	N/A	N/A
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization	Yue Guo, Tal August, Gondy Leroy, Trevor Cohen, Lucy Lu Wang	N/A	N/A
Ontologically Faithful Generation of Non-Player Character Dialogues	Nathaniel Weir, Ryan Thomas, Randolph d’Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani	N/A	N/A
LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives	Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker	N/A	N/A
RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs	Ekaterina Taktasheva, Maxim Bazhukov, Kirill Koncha, Alena Fenogenova, Ekaterina Artemova, Vladislav Mikhailov	N/A	N/A
Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction	Zheye Deng, Chunkit Chan, Weiqi Wang, Yuxi Sun, Wei Fan, Tianshi Zheng, Yauwai Yim, Yangqiu Song	N/A	N/A
Toward Compositional Behavior in Neural Models: A Survey of Current Views	Kate McCurdy, Paul Soulos, Paul Smolensky	N/A	N/A
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs	Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, David Broman, Christopher Potts, Matei Zaharia, Omar Khattab	N/A	N/A
Reverse-Engineering the Reader	Samuel Kiegeland, Ethan Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell	N/A	N/A
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation	Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang	N/A	N/A
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text	Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun	N/A	N/A
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning	David Schulte, Felix Hamborg, Alan Akbik	N/A	N/A
The effects of distance on NPI illusive effects in BERT	So Young Lee, Mai Ha Vu	N/A	N/A
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic	Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Jansen, Peter Clark, Benjamin Van Durme	N/A	N/A
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US	Christabel Acquaye, Haozhe An, Rachel Rudinger	N/A	N/A
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding	Yue Fan, Lei Ding, Ching-Chen Kuo, Shan Jiang, Yang Zhao, Xinze Guan, Jie Yang, Yi Zhang, Xin Eric Wang	N/A	N/A
Ranking Manipulation for Conversational Search Engines	Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi	N/A	N/A
Fast Forwarding Low-Rank Training	Adir Rahamim, Naomi Saphra, Sara Kangaslahti, Yonatan Belinkov	N/A	N/A
Precise Model Benchmarking with Only a Few Observations	Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort	N/A	N/A
Attribute Diversity Determines the Systematicity Gap in VQA	Ian Berlot-Attwell, Kumar Krishna Agrawal, Annabelle Michael Carrell, Yash Sharma, Naomi Saphra	N/A	N/A
“Rows, Columns and Values, Oh My!” Synthesizing Scientific Literature into Tables using Language Models	Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S Weld, Joseph Chee Chang, Kyle Lo	N/A	N/A
Development of Cognitive Intelligence in Pre-trained Language Models	Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma	N/A	N/A
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding	Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui	N/A	N/A
Birdie: Advancing State Space Models with a Minimalist Architecture and Novel Pre-training Objectives	Sam Blouir, Jimmy T.H. Smith, Antonios Anastasopoulos, Amarda Shehu	N/A	N/A
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?	Pinzhen Chen, Simon Yu, Zhicheng Guo, Barry Haddow	N/A	N/A
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs	Sheridan Feucht, David Atkinson, Byron C Wallace, David Bau	N/A	N/A
TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering	Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig	N/A	N/A
Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding	Biswesh Mohapatra, Manav Nitin Kapadnis, Laurent Romary, Justine Cassell	N/A	N/A
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting	Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang	N/A	N/A
If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions	Reza Esfandiarpoor, Cristina Menghini, Stephen Bach	N/A	N/A
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction	Bowen Zhang, Harold Soh	N/A	N/A
MQuinE: a Cure for “Z-paradox” in Knowledge Graph Embedding	Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun	N/A	N/A
Can Transformer Language Models Learn $n$-gram Language Models?	Anej Svete, Nadav Borenstein, Mike Zhou, Ryan Cotterell	N/A	N/A
StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model	Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, Junmo Kim	N/A	N/A
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems	Philippe Laban, Alexander Fabbri, Caiming Xiong, Chien-Sheng Wu	N/A	N/A
Multi-pass Decoding for Grammatical Error Correction	Xiaoying Wang, Lingling Mu, Jingyi Zhang, Hongfei Xu	N/A	N/A
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations	Yucheng Jiang, Yijia Shao, Dekun Ma, Sina Semnani, Monica Lam	N/A	N/A
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation	Chenming Tang, Zhixiang Wang, Yunfang Wu	N/A	N/A
Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge	Yuxuan Wang, Yueqian Wang, Pengfei Wu, Jianxin Liang, Dongyan Zhao, Yang Liu, Zilong Zheng	N/A	N/A
STORYSUMM: Evaluating Faithfulness in Story Summarization	Melanie Subbiah, Faisal Ladhak, Akankshya Mishra, Griffin Thomas Adams, Lydia Chilton, Kathleen McKeown	N/A	N/A
MMOE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts	Haofei Yu, Zhengyang Qi, Lawrence Keunho Jang, Russ Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang	N/A	N/A
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer	Lu Zhang, Tiancheng Zhao, Heting Ying, Yibo Ma, Kyusong Lee	N/A	N/A
Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension	Lin Ai, Zheng Hui, Zizhou Liu, Julia Hirschberg	N/A	N/A
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions	Jun Rao, Xuebo Liu, Lian Lian, shengjun cheng, Yunjie Liao, Min Zhang	N/A	N/A
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers	Yuzhe Gu, Enmao Diao	N/A	N/A
Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models	Jaeseong Lee, seung-won hwang, Wonpyo Park, Mingi Ji	N/A	N/A
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood	Yang Xu, Yu Wang, Hao An, Yongyuan Li, Zhichen Liu	N/A	N/A
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning	Jiahui Li, Hanlin Zhang, Fengda Zhang, Tai-Wei Chang, Kun Kuang, Long Chen, JUN ZHOU	N/A	N/A
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models	XiaoHua Feng, Chaochao Chen, Yuyuan Li, Zibin Lin	N/A	N/A
ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs	Changchun Liu, Kai Zhang, Junzhe Jiang, Zirui Liu, Hanqing Tao, Min Gao, Enhong Chen	N/A	N/A
On the In-context Generation of Language Models	Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu	N/A	N/A
Atomic Inference for NLI with Generated Facts as Atoms	Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei	N/A	N/A
Towards Robust Speech Representation Learning for Thousands of Languages	William Chen, Wangyou Zhang, Yifan Peng, Xinjian Li, Jinchuan Tian, Jiatong Shi, Xuankai Chang, Soumi Maiti, Karen Livescu, Shinji Watanabe	N/A	N/A
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses	Xuan Ren, Biao Wu, Lingqiao Liu	N/A	N/A
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment	Jiahuan Li, Shujian Huang, Aarron Ching, Xinyu Dai, Jiajun Chen	N/A	N/A
An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance	Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song, Graham Neubig	N/A	N/A
When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models	Ting-Yun Chang, Jesse Thomason, Robin Jia	N/A	N/A
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference	Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo zhang, Yanghui Rao	N/A	N/A
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions	Jinsung Yoon, Rajarishi Sinha, Sercan O Arik, Tomas Pfister	N/A	N/A
KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction	Jianshang Kou, Benfeng Xu, Chiwei Zhu, Zhendong Mao	N/A	N/A
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation	Zhen Lin, Shubhendu Trivedi, Jimeng Sun	N/A	N/A
$\texttt{MixGR}$: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity	Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl	N/A	N/A
CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction	Tuan Dung Nguyen, Thanh Trung Huynh, Minh Hieu Phan, Quoc Viet Hung Nguyen, Phi Le Nguyen	N/A	N/A
“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning	Chuanqi Cheng, Quan Tu, Wei Wu, Shuo Shang, Cunli Mao, Zhengtao Yu, Rui Yan	N/A	N/A
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective	Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He	N/A	N/A
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding	Xin Liu, Farima Fatahi Bayat, Lu Wang	N/A	N/A
Reasoning Robustness of LLMs to Adversarial Typographical Errors	Esther Gan, Yiran Zhao, Liying Cheng, Mao Yancan, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh	N/A	N/A
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance	Pengyu Wang, Dong Zhang, Linyang Li, Chenkun Tan, Xinghao Wang, Mozhi Zhang, Ke Ren, Botian Jiang, Xipeng Qiu	N/A	N/A
Belief Revision: The Adaptability of Large Language Models Reasoning	Bryan Wilie, Samuel Cahyawijaya, Etsuko Ishii, Junxian He, Pascale Fung	N/A	N/A
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models	Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou	N/A	N/A
Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints	Minjia Wang, Fangzhou Liu, Xiuxing Li, Bowen Dong, Zhenyu Li, Tengyu Pan, Jianyong Wang	N/A	N/A
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models	Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng	N/A	N/A
LLMs Are Prone to Fallacies in Causal Inference	Nitish Joshi, Abulhair Saparov, Yixin Wang, He He	N/A	N/A
Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles	Ryan Louie, Ananjan Nandi, William Fang, Cheng Chang, Emma Brunskill, Diyi Yang	N/A	N/A
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification	Andreas Waldis, Joel Birrer, Anne Lauscher, Iryna Gurevych	N/A	N/A
When Generative Adversarial Networks Meet Sequence Labeling Challenges	Yu Tong, Ge Chen, Guokai Zheng, Rui Li, Jiang Dazhi	N/A	N/A
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering	Sungho Ko, Hyunjin Cho, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee	N/A	N/A
Speechworthy Instruction-tuned Language Models	Hyundong Justin Cho, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Karishma Sharma, Pedro Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May	N/A	N/A
Data, Data Everywhere: A Guide for Pretraining Dataset Construction	Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Liu, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro	N/A	N/A
Fine-Tuning and Prompt Optimization: Two Good Steps that Work Better Together	Dilara Soylu, Christopher Potts, Omar Khattab	N/A	N/A
Demystifying Verbatim Memorization in Large Language Models	Jing Huang, Diyi Yang, Christopher Potts	N/A	N/A
AmbigNLG: Addressing Task Ambiguity in Instruction for NLG	Ayana Niwa, Hayate Iso	N/A	N/A
Distributional Properties of Subword Regularization	Marco Cognetta, Vilém Zouhar, Naoaki Okazaki	N/A	N/A
DataTales: A Benchmark for Real-World Intelligent Data Narration	Yajing Yang, Qian Liu, Min-Yen Kan	N/A	N/A
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters	Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun	N/A	N/A
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization	Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin	N/A	N/A
Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models	Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer	N/A	N/A
More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation	Wencke Liermann, Jin-Xia Huang, Yohan Lee, Kong Joo Lee	N/A	N/A
Stable Language Model Pre-training by Reducing Embedding Variability	Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun	N/A	N/A
What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations	Kavya Manohar, Leena G Pillai	N/A	N/A
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets	Benjamin Schiller, Johannes Daxenberger, Andreas Waldis, Iryna Gurevych	N/A	N/A
Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas	Seungjong Sun, Eungu Lee, Seo Yeon Baek, Seunghyun Hwang, Lee wonbyung, Dongyan Nan, Bernard J Jansen, Jang Hyun Kim	N/A	N/A
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator	Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha	N/A	N/A
Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis	Yanjiang Chen, Kai Zhang, hufeng, Xianquan Wang, Ruikang li, Qi Liu	N/A	N/A
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization	Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl	N/A	N/A
Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA	Pu Jian, Donglei Yu, Jiajun Zhang	N/A	N/A
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights	Hao Yang, Lizhen Qu, Ehsan Shareghi, Reza Haf	N/A	N/A
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations	Milan BHAN, Jean-Noël Vittaut, Nicolas CHESNEAU, Marie-Jeanne Lesot	N/A	N/A
What are the Generator Preferences for End-to-end Task-Oriented Dialog System?	Wanshi Xu, Xianwei Zhuang, Zhanpeng Chen, Zhihong Zhu, Xuxin Cheng, Yuexian Zou	N/A	N/A
Paraphrase Types Elicit Prompt Engineering Capabilities	Jan Philip Wahle, Terry Ruas, Yang Xu, Bela Gipp	N/A	N/A
VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models	Jingtao Cao, Zhang Zheng, Hongru WANG, Kam-Fai Wong	N/A	N/A
Towards Online Continuous Sign Language Recognition and Translation	Ronglai Zuo, Fangyun Wei, Brian Mak	N/A	N/A
Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment	Yiwei Dai, Hengrui Gu, Ying Wang, Xin Wang	N/A	N/A
Split and Merge: Aligning Position Biases in LLM-based Evaluators	Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu	N/A	N/A
Integrating Argumentation and Hate-Speech-based Techniques for Countering Misinformation	Sougata Saha, Rohini Srihari	N/A	N/A
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM	Wenda Xu, Jiachen Li, William Yang Wang, Lei Li	N/A	N/A
One2Set + Large Language Model: Best Partners for Keyphrase Generation	Liangying Shao, Liang Zhang, Minlong Peng, Guoqi Ma, Hao Yue, Mingming Sun, Jinsong Su	N/A	N/A
Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering	Yifei Yuan, Yang Deng, Anders Søgaard, Mohammad Aliannejadi	N/A	N/A
ORPO: Monolithic Preference Optimization without Reference Model	Jiwoo Hong, Noah Lee, James Thorne	N/A	N/A
A Multi-Perspective Analysis of Memorization in Large Language Models	Bowen Chen, Namgi Han, Yusuke Miyao	N/A	N/A
Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations	Nicolò Penzo, Maryam Sajedinia, Bruno Lepri, Sara Tonelli, Marco Guerini	N/A	N/A
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs	Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych	N/A	N/A
Unveiling the Role of Pretraining in Direct Speech Translation	Belen Alastruey, Gerard I. Gállego, Marta R. Costa-jussà	N/A	N/A
PCQPR: Proactive Conversational Question Planning with Reflection	Shasha Guo	N/A	N/A
CodeAgent: Autonomous Communicative Agents for Code Review	Xunzhu Tang, KISUB KIM, Yewei Song, Cedric Lothritz, Bei Li, Saad Ezzini, Haoye Tian, Jacques Klein, Tegawendé F. Bissyandé	N/A	N/A
TroL: Traversal of Layers for Large Language and Vision Models	Byung-Kwan Lee, Sangyun Chung, Chae Won Kim, Beomchan Park, Yong Man Ro	N/A	N/A
MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language	Shun Wang, Ge Zhang, Han Wu, Tyler Loakman, Wenhao Huang, Chenghua Lin	N/A	N/A
Revisiting Supertagging for faster HPSG parsing	Olga Zamaraeva, Carlos Gómez-Rodríguez	N/A	N/A
Improve Dense Passage Retrieval with Entailment Tuning	Lu Dai, Hao Liu, Hui Xiong	N/A	N/A
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models	Yuxiang Zhang, Jing Chen, Junjie Wang, Yaxin Liu, Cheng Yang, Chufan Shi, Xinyu Zhu, Zihao Lin, Hanwen WAN, Yujiu Yang, Tetsuya Sakai, Tian Feng, Hayato Yamana	N/A	N/A
TEMA: Token Embeddings Mapping for Enriching Low-Resource Language Models	Rodolfo Zevallos, Núria Bel, Mireia Farrús	N/A	N/A
DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting	Xuanming Zhang, Anthony Diaz, Zixun Chen, Qingyang Wu, Kun Qian, Erik Voss, Zhou Yu	N/A	N/A
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback	Fatemeh Pesaran zadeh, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim	N/A	N/A
PrExMe: Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation	Christoph Leiter, Steffen Eger	N/A	N/A
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning	Shuai Zhao, Meihuizi Jia, Anh Tuan Luu, Fengjun Pan, Jinming Wen	N/A	N/A
Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models	Javier Chiyah-Garcia, Alessandro Suglia, Arash Eshghi	N/A	N/A
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models	Xinrong Zhang, Yingfa Chen, Shengding Hu, Xu Han, Zihang Xu, Yuanwei Xu, Weilin Zhao, Maosong Sun, Zhiyuan Liu	N/A	N/A
Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations	Matthias Lindemann, Alexander Koller, Ivan Titov	N/A	N/A
Puzzle Solving using Reasoning of Large Language Models: A Survey	Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, Giorgos Stamou	N/A	N/A
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading	Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Jianfeng Gao, Fabian Peller-Konrad, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues	N/A	N/A
Red Teaming Language Models for Processing Contradictory Dialogues	Xiaofei Wen, Bangzheng Li, Tenghao Huang, Muhao Chen	N/A	N/A
Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models	Sander Land, Max Bartolo	N/A	N/A
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs	Houman Mehrafarin, Arash Eshghi, Ioannis Konstas	N/A	N/A
Don’t Underestimate the Octopus - Why The Symbol Grounding Problem Does Not Apply to LLMs	Reto Gubelmann	N/A	N/A
Major Entity Identification: A Generalizable Alternative to Coreference Resolution	Kawshik Manikantan, Shubham Toshniwal, Makarand Tapaswi, Vineet Gandhi	N/A	N/A
Enhancing High-order Interaction Awareness in LLM-based Recommender Model	Xinfeng Wang, Jin Cui, Fumiyo Fukumoto, Yoshimi Suzuki	N/A	N/A
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning	Akshay Paruchuri, Jake Garrison, shun liao, John B Hernandez, Jacob Sunshine, Tim Althoff, Xin Liu, Daniel McDuff	N/A	N/A
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction	Han Jiang, Junwen Duan, Zhe Qu, Jianxin Wang	N/A	N/A
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models	Hayder Elesedy, Pedro M Esperanca, Silviu Vlad Oprea, Mete Ozay	N/A	N/A
“A good pun is its own reword”: Can Large Language Models Understand Puns?	Zhijun Xu, Siyu Yuan, Lingjie Chen, Deqing Yang	N/A	N/A
QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation	Weiping Fu, Bifan Wei, Jianxiang Hu, Zhongmin Cai, Jun Liu	N/A	N/A
Dependency Graph Parsing as Sequence Labeling	Ana Ezquerro, David Vilares, Carlos Gómez-Rodríguez	N/A	N/A
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data	Sergei Bogdanov, Alexandre Constantin, Timothée Bernard, Benoit Crabbé, Etienne P Bernard	N/A	N/A
Towards a Greek Proverb Atlas: Computational Spatial Exploration and Attribution of Greek Proverbs	John Pavlopoulos, Panos Louridas, Panagiotis Filos	N/A	N/A
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications	Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu	N/A	N/A
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss	Bowen Zhang, Chunping Li	N/A	N/A
Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training	Marc Felix Brinner, Sina Zarrieß	N/A	N/A
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation	Markus Frohmann, Igor Sterner, Ivan Vulić, Benjamin Minixhofer, Markus Schedl	N/A	N/A
Applying Contrastive Learning to Code Vulnerability Type Classification	Chen Ji, Su Yang, Hongyu Sun, Yuqing Zhang	N/A	N/A
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts	Ruida WANG, Jipeng Zhang, Yizhen Jia, Rui Pan, Shizhe Diao, Renjie Pi, Tong Zhang	N/A	N/A
Multi-Level Cross-Modal Alignment for Speech Relation Extraction	Liang Zhang, Zhen Yang, Biao Fu, Ziyao Lu, Liangying Shao, Shiyu Liu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jinsong Su	N/A	N/A
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models	Christopher Schröder, Gerhard Heyer	N/A	N/A
PANDA: Persona Attributes Navigation for Detecting and Alleviating Overuse Problem in Large Language Models	Jinsung Kim, Seonmin Koo, Heuiseok Lim	N/A	N/A
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm	Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker	N/A	N/A
Subword Segmentation in LLMs: Looking at Inflection and Consistency	Marion Di Marco, Alexander Fraser	N/A	N/A
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments	Omar Sharif, Joseph Gatto, MADHUSUDAN BASAK, Sarah Masud Preum	N/A	N/A
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models	Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut	N/A	N/A
Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data	Jean-Flavien Bussotti, Luca Ragazzi, Giacomo Frisoni, Gianluca Moro, Paolo Papotti	N/A	N/A
TL-CL: Task And Language Incremental Continual Learning	Shrey Satapara, P. K. Srijith	N/A	N/A
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?	Daniel P Jeong, Saurabh Garg, Zachary Chase Lipton, Michael Oberst	N/A	N/A
Empowering Multi-step Reasoning across Languages via Program-Aided Language Models	Leonardo Ranaldi, Giulia Pucci	N/A	N/A
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models	Yu Yuan, Lili Zhao, Kai Zhang, Guangting Zheng, Qi Liu	N/A	N/A
ControlMath: Controllable Data Generation Promotes Math Generalist Models	Nuo Chen, Ning Wu, Jianhui Chang, MING GONG, Linjun Shou, Dongmei Zhang, Jia Li	N/A	N/A
Where Am I From? Identifying Origin of LLM-generated Content	Liying LI, Yihan Bai, Minhao Cheng	N/A	N/A
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment	Tarek Naous, Michael J Ryan, Anton Lavrouk, Mohit Chandra, Wei Xu	N/A	N/A
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text	Michael Ginn, Lindia Tjuatja, Taiqi He, Enora Rice, Graham Neubig, Alexis Palmer, Lori Levin	N/A	N/A
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains	Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari, Amir Zeldes	N/A	N/A
RA2FD: Distilling Faithfulness into Efficient Dialogue Systems	Zhiyuan Zhu, Yusheng Liao, Chenxin Xu, Yunfeng Guan, Yanfeng Wang, Yu Wang	N/A	N/A
Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation	Fangrui Lv, Kaixiong Gong, Jian Liang, Xinyu Pang, Changshui Zhang	N/A	N/A
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently	Kanishka Misra, Allyson Ettinger, Kyle Mahowald	N/A	N/A
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking	Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong	N/A	N/A
A Coordinate System for In-Context Learning	Anhao Zhao, Fanghua Ye, Jinlan Fu, Xiaoyu Shen	N/A	N/A
Self-Powered LLM Modality Expansion for Large Speech-Text Models	Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang	N/A	N/A
ABSEval: An Agent-based Framework for Script Evaluation	Sirui Liang, Baoli Zhang, Jun Zhao, Kang Liu	N/A	N/A
Latent Concept-based Explanation of NLP Models	Xuemin Yu, Fahim Dalvi, Nadir Durrani, Marzia Nouri, Hassan Sajjad	N/A	N/A
Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher	Hyunjong Ok, Jegwang Ryu, Jaeho Lee	N/A	N/A
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research	Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras	N/A	N/A
The Mystery of the Pathological Path-star Task for Language Models	Arvid Frydenlund	N/A	N/A
Voices in a Crowd: Searching for clusters of unique perspectives	Nikolas Vitsakis, Amit Parekh, Ioannis Konstas	N/A	N/A
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent	Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu	N/A	N/A
SLANG: New Concept Comprehension of Large Language Models	Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng	N/A	N/A
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models	Michael Lan, Philip Torr, Fazl Barez	N/A	N/A
Why Does New Knowledge Create Messy Ripple Effects in LLMs?	Jiaxin Qin, Zixuan Zhang, Chi Han, Pengfei Yu, Manling Li, Heng Ji	N/A	N/A
Lifelong Event Detection via Optimal Transport	Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Linh Van Ngo, Thien Huu Nguyen	N/A	N/A
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories	Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot	N/A	N/A
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation	KaShun SHUM, Minrui Xu, Jianshu Zhang, Zixin CHEN, Shizhe Diao, Hanze Dong, Jipeng Zhang, Muhammad Omer Raza	N/A	N/A
Domain adapted machine translation: What does catastrophic forgetting forget and why?	Danielle Saunders, Steve DeNeefe	N/A	N/A
Enhancing AI Assisted Writing with One-Shot Implicit Negative Feedback	Benjamin Towle, Ke Zhou	N/A	N/A
Atomic Self-Consistency for Better Long Form Generations	Raghuveer Thirukovalluru, Yukun Huang, Bhuwan Dhingra	N/A	N/A
“Global is Good, Local is Bad?’’: Understanding Brand Bias in LLMs	Mahammed Kamruzzaman, Hieu Minh Nguyen, Gene Louis Kim	N/A	N/A
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach	Siqi Li, Danni Liu, Jan Niehues	N/A	N/A
ACE: A LLM-based Negotiation Coaching System	Ryan Shea, Aymen Kallala, Xin Lucy Liu, Michael W. Morris, Zhou Yu	N/A	N/A
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities	Ming Zhang, Caishuang Huang, Yilong Wu, Shichun Liu, Huiyuan Zheng, Yurui Dong, Yujiong Shen, Shihan Dou, Jun Zhao, Junjie Ye, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals	Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Jiayin Zhi, Shaun M. Eack, Travis Labrum, Samuel M Murphy, Nev Jones, Kate V Hardy, Hong Shen, Fei Fang, Zhiyu Chen	N/A	N/A
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction	Xueren Ge, Abhishek Satpathy, Ronald Dean Williams, John Stankovic, Homa Alemzadeh	N/A	N/A
$\texttt{ModSCAN}$: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities	Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu, Michael Backes, Yang Zhang	N/A	N/A
Large Language Models Can Self-Correct with Key Condition Verification	Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang	N/A	N/A
Learning to Write Rationally: How Information Is Distributed in Non-native Speakers’ Essays	Zixin Tang, Janet van Hell	N/A	N/A
Defending Against Social Engineering Attacks in the Age of LLMs	Lin Ai, Tharindu Sandaruwan Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael S. Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, huan liu, Julia Hirschberg	N/A	N/A
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models	Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi	N/A	N/A
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training	Yixuan Wang, Xianzhen Luo, Fuxuan Wei, Yijun Liu, Qingfu Zhu, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che	N/A	N/A
Target-Aware Language Modeling via Granular Data Sampling	Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao, Daeil Kim, Rastislav Rabatin, Zechun Liu, Yangyang Shi, Vikas Chandra	N/A	N/A
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness	Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng	N/A	N/A
Learning from Feedback with Coupled Comprehension and Generation	Mustafa Omer Gul, Yoav Artzi	N/A	N/A
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks	Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei	N/A	N/A
Story Morals: Surfacing value-driven narrative schemas using large language models	David G Hobson, Haiqi Zhou, Derek Ruths, Andrew Piper	N/A	N/A
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants	Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, Swabha Swayamdipta	N/A	N/A
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies	Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Murari Tiyyala, Nicholas Andrews, Daniel Khashabi	N/A	N/A
SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents	Qi Zhang, Zhijia Chen, Huitong Pan, Cornelia Caragea, Longin Jan Latecki, Eduard Dragut	N/A	N/A
Analysis of Plan-based Retrieval for Grounded Text Generation	Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer	N/A	N/A
Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors	Alex Chandler, Devesh Surve, Hui Su	N/A	N/A
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs	John Dang, Arash Ahmadian, Kelly Marchisio, Julia Kreutzer, Ahmet Üstün, Sara Hooker	N/A	N/A
Improving Logical Fallacy Reasoning with Logical Structure Tree	Yuanyuan Lei, Ruihong Huang	N/A	N/A
Chain and Causal Attention for Efficient Entity Tracking	Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen	N/A	N/A
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models	Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, Ruoxi Jia	N/A	N/A
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution	Zhengmian Hu, Tong Zheng, Heng Huang	N/A	N/A
FAC$^2$E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition	Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu	N/A	N/A
OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation	Tanvir Mahmud, Diana Marculescu	N/A	N/A
Language Concept Erasure for Language-invariant Dense Retrieval	Zhiqi Huang, Puxuan Yu, Shauli Ravfogel, James Allan	N/A	N/A
Learning Personalized Alignment for Evaluating Open-ended Text Generation	Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian	N/A	N/A
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks	Yue Zhou, Henry Peng Zou, Barbara Di Eugenio, Yang Zhang	N/A	N/A
Turn Waste into Worth: Rectifying Top-$k$ Router of MoE	Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu	N/A	N/A
Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination	Pittawat Taveekitworachai, Febri Abdullah, Ruck Thawonmas	N/A	N/A
CommVQA: Situating Visual Question Answering in Communicative Contexts	Nandita Shankar Naik, Christopher Potts, Elisa Kreiss	N/A	N/A
Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding	Weilin Zhao, Yuxiang Huang, Xu Han, Wang Xu, Chaojun Xiao, Xinrong Zhang, Yewei Fang, Kaihuo Zhang, Zhiyuan Liu, Maosong Sun	N/A	N/A
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?	Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun	N/A	N/A
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective	Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G Honavar	N/A	N/A
Style-Specific Neurons for Steering LLMs in Text Style Transfer	Wen Lai, Viktor Hangya, Alexander Fraser	N/A	N/A
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers	Tianhua Zhang, Kun LI, Hongyin Luo, Xixin Wu, James R. Glass, Helen M. Meng	N/A	N/A
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction	Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han	N/A	N/A
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models	Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu	N/A	N/A
Leveraging Context-aware Prompting for Commit Message Generation	Zhihua Jiang, Jianwei Chen, Dongning Rao, Guanghui Ye	N/A	N/A
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination	Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein	N/A	N/A
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning	Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang, Longtao Huang, Hui Xue’	N/A	N/A
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models	Zhihao Wang, Shiyu Liu, Jianheng Huang, Wang Zheng, YiXuan Liao, Xiaoxin Chen, Junfeng Yao, Jinsong Su	N/A	N/A
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages	Jimin Sohn, Haeji Jung, Alex Cheng, Jooeon Kang, Yilin Du, David R Mortensen	N/A	N/A
An Analysis and Mitigation of the Reversal Curse	Ang Lv, Kaiyi Zhang, Shufang Xie, Quan Tu, Yuhan Chen, Ji-Rong Wen, Rui Yan	N/A	N/A
Exploring the Practicality of Generative Retrieval on Dynamic Corpora	Soyoung Yoon, Chaeeun Kim, Hyunji Lee, Joel Jang, Sohee Yang, Minjoon Seo	N/A	N/A
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting	Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen	N/A	N/A
Gotcha! Don’t trick me with unanswerable questions! Self-aligning Large Language Models for Proactively Responding to Unknown Questions	Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua	N/A	N/A
Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning	Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Fan Yang, Mao Yang	N/A	N/A
Large Language Models in the Clinic: A Comprehensive Benchmark	Fenglin Liu, Zheng Li, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Hongjian Zhou, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei Clifton, Bing Yin, David A. Clifton	N/A	N/A
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction	Jinchuan Zhang, Yan Zhou, Yaxin Liu, Ziming Li, Songlin Hu	N/A	N/A
Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective	Van-Cuong Pham, Thien Huu Nguyen	N/A	N/A
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG	Jinyoung Kim, Dayoon Ko, Gunhee Kim	N/A	N/A
Preserving Generalization of Language models in Few-shot Continual Relation Extraction	Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Van Ngo, Thien Huu Nguyen	N/A	N/A
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations	Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, Mizanur Rahman, Mohammad Abdullah Matin Khan, Haidar Khan, Israt Jahan, Amran Bhuiyan, Chee Wei Tan, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty, Jimmy Huang	N/A	N/A
Consecutive Batch Model Editing with HooK Layers	Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang CHEN, Wai Lam	N/A	N/A
Topic-Oriented Open Relation Extraction with A Priori Seed Generation	Linyi Ding, Jinfeng Xiao, Sizhe Zhou, Chaoqi Yang, Jiawei Han	N/A	N/A
Related Work and Citation Text Generation: A Survey	Xiangci Li, Jessica Ouyang	N/A	N/A
Curriculum Consistency Learning for Conditional Sentence Generation	Liangxin Liu, Xuebo Liu, Lian Lian, shengjun cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang	N/A	N/A
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences	Leonardo Bertolazzi, Albert Gatt, Raffaella Bernardi	N/A	N/A
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision	Fan Jiang, Tom Drummond, Trevor Cohn	N/A	N/A
Towards an Open-Source Speech Foundation Model for EU: 950,000 Hours of Open-Source Compliant Speech Data for EU Languages	Marco Gaido, Sara Papi, Luisa Bentivogli, Alessio Brutti, Mauro Cettolo, Roberto Gretter, Marco Matassoni, Mohamed Nabih, Matteo Negri	N/A	N/A
Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning	Jiashi Lin, Lifang Wang, Xinyu Lu, Zhongtian Hu, Wei Zhang, Wenxuan Lu	N/A	N/A
Contribution of Linguistic Typology to Universal Dependency Parsing: An Empirical Investigation	Ali Basirat, Navid Baradaran Hemmati	N/A	N/A
TRoTR: A Framework for Evaluating the Re-contextualization of Text Reuse	Francesco Periti, Pierluigi Cassotti, Stefano Montanelli, Nina Tahmasebi, Dominik Schlechtweg	N/A	N/A
Structured Optimal Brain Pruning for Large Language Models	Jiateng Wei, Quan Lu, ning jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu	N/A	N/A
Automatically Generated Definitions and their utility for Modeling Word Meaning	Francesco Periti, David Alfter, Nina Tahmasebi	N/A	N/A
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data	Yejie Wang, Keqing He, Dayuan Fu, Zhuoma GongQue, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu	N/A	N/A
MINT: A Benchmark for Evaluating Instructed Information Retrieval	Weiwei Sun, Zhengliang Shi, Wu Jiu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren	N/A	N/A
Rethinking the Evaluation of In-Context Learning for LLMs	Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao	N/A	N/A
Cluster-Norm for Unsupervised Probing of Knowledge	Walter Laurito, Sharan Maiya, Grégoire DHIMOÏLA, Owen Ho Wan Yeung, Kaarel Hänni	N/A	N/A
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries	Eden Biran, Daniela Gottesman, Sohee Yang, Mor Geva, Amir Globerson	N/A	N/A
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration	Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng	N/A	N/A
Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts	Seonmin Koo, Jinsung Kim, YoungJoon Jang, Chanjun Park, Heuiseok Lim	N/A	N/A
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students	Matthew Shu, Nishant Balepur, Shi Feng, Jordan Lee Boyd-Graber	N/A	N/A
Large Language Models Can Be Contextual Privacy Protection Learners	Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng	N/A	N/A
A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick	Nishant Balepur, Matthew Shu, Alexander Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan Lee Boyd-Graber	N/A	N/A
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models	Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf	N/A	N/A
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction	Jun-Hyung Park, Yeachan Kim, Mingyu Lee, Hyuntae Park, SangKeun Lee	N/A	N/A
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning	Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Keisuke Sakaguchi, Kentaro Inui	N/A	N/A
Tools Fail: Detecting Silent Errors in Faulty Tools	Jimin Sun, So Yeon Min, Yingshan Chang, Yonatan Bisk	N/A	N/A
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity	Bowen Zhang, Chunping Li	N/A	N/A
Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing	Deokhyung Kang, Seonjeong Hwang, Yunsu Kim, Gary Lee	N/A	N/A
Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling	Georgios Pantazopoulos, Malvina Nikandrou, Alessandro Suglia, Oliver Lemon, Arash Eshghi	N/A	N/A
Are LLMs Good Zero-Shot Fallacy Classifiers?	Fengjun Pan, Xiaobao Wu, Zongrui Li, Anh Tuan Luu	N/A	N/A
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis	Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He	N/A	N/A
More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages	Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi	N/A	N/A
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification	Ming Li, Jike Zhong, Chenxin Li, Liuzhuozheng Li, Nie Lin, Masashi Sugiyama	N/A	N/A
ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos	Arpan Phukan, Manish Gupta, Asif Ekbal	N/A	N/A
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation	Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang, Munazza Zaib, Ahoud Alhazmi	N/A	N/A
Evaluating $n$-Gram Novelty of Language Models Using Rusty-DAWG	William Merrill, Noah A. Smith, Yanai Elazar	N/A	N/A
ASL STEMpedia: Dataset and Benchmark for Interpreting STEM Articles	Kayo Yin, Chinmay Singh, Fyodor O Minakov, Vanessa Milan, Hal Daumé III, Cyril Zhang, Alex Xijie Lu, Danielle Bragg	N/A	N/A
Can Automatic Metrics Assess High-Quality Translations?	Sweta Agrawal, António Farinhas, Ricardo Rei, Andre Martins	N/A	N/A
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation	Sweta Agrawal, José G. C. de Souza, Ricardo Rei, António Farinhas, Gonçalo Faria, Patrick Fernandes, Nuno M Guerreiro, Andre Martins	N/A	N/A
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding	Bowen Xing, Lizi Liao, Minlie Huang, Ivor Tsang	N/A	N/A
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models	Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren	N/A	N/A
SecCoder: Towards Generalizable and Robust Secure Code Generation	Boyu Zhang, Tianyu Du, Junkai Tong, Xuhong Zhang, Kingsum Chow, Sheng Cheng, Xun Wang, Jianwei Yin	N/A	N/A
Nash CoT: Multi-Path Inference with Preference Equilibrium	Ziqi Zhang, Cunxiang Wang, Xiao Xiong, Yue Zhang, Donglin Wang	N/A	N/A
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention	Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou	N/A	N/A
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector	Xiaoxue Cheng, Junyi Li, Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di ZHANG, Kun Gai, Ji-Rong Wen	N/A	N/A
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding	Wei Li, Zhen Huang, Xinmei Tian, Le Lu, Houqiang Li, Xu Shen, Jieping Ye	N/A	N/A
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History	Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark Gales, Mario Fritz	N/A	N/A
Social Bias Probing: Fairness Benchmarking for Language Models	Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein	N/A	N/A
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models	Wenhao Yu, Hongming Zhang, Xiaoman Pan, peixin cao, Kaixin Ma, Jian Li, Hongwei Wang, Dong Yu	N/A	N/A
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models	Jiabao Pan, Yan Zhang, Chen Zhang, Zuozhu Liu, Hongwei Wang, Haizhou Li	N/A	N/A
Revisiting Automated Evaluation for Long-form Table Question Answering in the Era of Large Language Models	Yuqi Wang, Lyuhao Chen, Yilun Zhao	N/A	N/A
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems	Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He	N/A	N/A
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning	Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang	N/A	N/A
FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents	Yilun Zhao, Yitao Long, Tintin Jiang, Weiyuan Chen, Chengye Wang, Hongjun Liu, Xiangru Tang, Yiming Zhang, Chen Zhao, Arman Cohan	N/A	N/A
Extracting Prompts by Inverting LLM Outputs	Collin Zhang, John Xavier Morris, Vitaly Shmatikov	N/A	N/A
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs	Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu	N/A	N/A
VHASR: A Multimodal Speech Recognition System With Vision Hotwords	Jiliang Hu, Zuchao Li, Ping Wang, Haojun Ai, Lefei Zhang, hai zhao	N/A	N/A
A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors	Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell	N/A	N/A
Bridging Local Details and Global Context in Text-Attributed Graphs	Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, liyunfei, Siliang Tang	N/A	N/A
Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks	Felermino D. M. A. Ali, Henrique Lopes Cardoso, Rui Sousa-Silva	N/A	N/A
RepMatch: Quantifying Cross-Instance Similarities in Representation Space	Mohammad Reza Modarres, Sina Abbasi, Mohammad Taher Pilehvar	N/A	N/A
Commonsense Knowledge Editing Based on Free-Text in LLMs	Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu	N/A	N/A
A Closer Look at Multidimensional Online Political Incivility	Sagi Pendzel, Nir Lotan, Alon Zoizner, Einat Minkov	N/A	N/A
Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training	Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu	N/A	N/A
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation	Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky	N/A	N/A
Unsupervised Named Entity Disambiguation for Low Resource Domains	Debarghya Datta, Soumajit Pramanik	N/A	N/A
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers	Viktoriia A. Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan Oseledets	N/A	N/A
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion	Qingyang Li, Yanru Zhong, Yuchu Qin	N/A	N/A
ActPlan-1K: Benchmarking the Procedural Planning Ability of Visual Language Models in Household Activities	Ying Su, Zhan Ling, Haochen Shi, Cheng Jiayang, Yauwai Yim, Yangqiu Song	N/A	N/A
Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning	Xiaopeng Xie, Ming YAN, Xiwen Zhou, Chenlong Zhao, Suli Wang, Yong Zhang, Joey Tianyi Zhou	N/A	N/A
GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients	Aashiq Muhamed, Oscar Li, David Woodruff, Mona T. Diab, Virginia Smith	N/A	N/A
RaTEScore: A Metric for Entity-Aware Radiology Text Similarity	Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Weidi Xie	N/A	N/A
HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning	Shayan Ali Akbar, Md Mosharaf Hossain, Tess Wood, Si-Chi Chin, Victor Alvarez, Erica M Salinas, Erwin Cornejo	N/A	N/A
Learning to Rank Salient Content for Query-focused Summarization	Sajad Sotudeh, Nazli Goharian	N/A	N/A
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions	Qian Ruan, Ilia Kuznetsov, Iryna Gurevych	N/A	N/A
LitSearch: A Retrieval Benchmark for Scientific Literature Search	Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao	N/A	N/A
Open-world Multi-label Text Classification with Extremely Weak Supervision	Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang	N/A	N/A
LMs learn governing principles of dynamical systems, revealing an in-context neural scaling law	Toni J.B. Liu, Nicolas Boulle, Raphaël Sarfati, Christopher Earls	N/A	N/A
AKEW: Assessing Knowledge Editing in the Wild	Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu	N/A	N/A
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation	Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh	N/A	N/A
Dense X Retrieval: What Retrieval Granularity Should We Use?	Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu	N/A	N/A
Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach	Yanchen Liu, Mingyu Derek Ma, Wenna Qin, Azure Zhou, Jiaao Chen, Weiyan Shi, Wei Wang, Diyi Yang	N/A	N/A
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models	Zheng Zhao, Yftah Ziser, Shay B Cohen	N/A	N/A
XDetox: Text Detoxification with Token-Level Toxicity Explanations	Beomseok Lee, Hyunwoo Kim, Keon Kim, Yong Suk Choi	N/A	N/A
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach	ZiHao Xiao, Jiefu Gong, Shijin Wang, Wei Song	N/A	N/A
Evaluating LLMs’ Capability in Satisfying Lexical Constraints	Bingxuan Li, Yiwei Wang, Tao Meng, Nanyun Peng, Kai-Wei Chang	N/A	N/A
Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion	Chenyu Qiu, Pengjiang Qian, Chuang Wang, Jian Yao, Li Liu, Fang wei, Eddie Y.K. Eddie	N/A	N/A
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning	Lu Chen, Rui Zheng, Binghai Wang, Senjie Jin, Caishuang Huang, Junjie Ye, Zhihao Zhang, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts	Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng	N/A	N/A
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models	Zi’ou Zheng, Christopher Malon, Martin Renqiang Min, Xiaodan Zhu	N/A	N/A
Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning	Panuthep Tasawong, Peerat Limkonchotiwat, Potsawee Manakul, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong	N/A	N/A
MetaBench: Planning of Multiple APIs from Various APPs for Complex User Instruction	Hongru WANG, Rui Wang, Boyang XUE, Heming Xia, Jingtao Cao, Zeming Liu, Jeff Z. Pan, Kam-Fai Wong	N/A	N/A
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment	Zhipeng Chen, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen	N/A	N/A
AudioVSR: Enhancing Video Speech Recognition with Audio Data	Xiaoda Yang, Xize Cheng, Jiaqi Duan, Hongshun Qiu, Minjie Hong, Minghui Fang, Shengpeng Ji, Jialong Zuo, Zhiqing Hong, Zhimeng Zhang, Tao Jin	N/A	N/A
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?	Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried	N/A	N/A
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level	Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu	N/A	N/A
Re-ReST: Reflection-Reinforced Self-Training for Language Agents	Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng	N/A	N/A
Effective Synthetic Data and Test-Time Adaptation for OCR Correction	Shuhao Guan, Cheng Xu, Moule Lin, Derek Greene	N/A	N/A
SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework	Fu Zhang, Qi Miao, Jingwei Cheng, Hongsen Yu, Yi Yan, Xin Li, YongxueWu	N/A	N/A
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension	Junzhuo Liu, Xuzheng Yang, WEIWEI LI, Peng Wang	N/A	N/A
Exploring the Learning Capabilities of Language Models using LEVERWORLDS	Eitan Wagner, Amir Feder, Omri Abend	N/A	N/A
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models	Eitan Wagner, Yuli Slavutsky, Omri Abend	N/A	N/A
DocEditAgent: Document Structure Editing Via Multimodal LLM Grounding	Manan Suri, Puneet Mathur, Franck Dernoncourt, Rajiv Jain, Vlad I Morariu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha	N/A	N/A
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging	Tzu-Han Lin, Chen-An Li, Hung-yi Lee, Yun-Nung Chen	N/A	N/A
Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing	Ifeoluwa Wuraola, Nina Dethlefs, Daniel Marciniak	N/A	N/A
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding	Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou	N/A	N/A
Re-Reading Improves Reasoning in Large Language Models	Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-Guang Lou, Shuai Ma	N/A	N/A
Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis	Qingcheng Zeng, Mingyu Jin, Rob Voigt	N/A	N/A
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments	Sourjyadip Ray, Kushal Gupta, Soumi Kundu, Dr Payal Arvind Kasat, Somak Aditya, Pawan Goyal	N/A	N/A
Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations	Jiyi Li	N/A	N/A
Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation	Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu	N/A	N/A
Revisiting Supervised Contrastive Learning for Microblog Classification	Junbo Huang, Ricardo Usbeck	N/A	N/A
BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting	Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang	N/A	N/A
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective	Zhaotian Weng, Zijun Gao, Jerone Andrews, Jieyu Zhao	N/A	N/A
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing	Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei	N/A	N/A
SciAgent: Tool-augmented Language Models for Scientific Reasoning	Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun	N/A	N/A
Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents	Dong Won Lee, Hae Won Park, Yoon Kim, Cynthia Breazeal, Louis-Philippe Morency	N/A	N/A
Towards Measuring and Modeling “Culture” in LLMs: A Survey	Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, Siddhant Shivdutt Singh, Alham Fikri Aji, Jacki O’Neill, Ashutosh Modi, Monojit Choudhury	N/A	N/A
ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models	Haiquan Zhao, Lingyu Li, Shisong Chen, Shuqi Kong, Jiaan Wang, Kexin Huang, Tianle Gu, Yixu Wang, Jian Wang, Liang Dandan, Zhixu Li, Yan Teng, Yanghua Xiao, Yingchun Wang	N/A	N/A
Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting	Sagnik Mukherjee, Muhammad Farid Adilazuarda, Sunayana Sitaram, Kalika Bali, Alham Fikri Aji, Monojit Choudhury	N/A	N/A
Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features	Xiao Yu, Kejiang Chen, Qi Yang, Weiming Zhang, Nenghai Yu	N/A	N/A
Hate Personified: Investigating the role of LLMs in content moderation pipeline for hate speech	Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexander Fraser, Tanmoy Chakraborty	N/A	N/A
Temporally Consistent Factuality Probing for Large Language Models	Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy Chakraborty	N/A	N/A
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives	Zihao Li, Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann	N/A	N/A
Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators	Prasoon Bajpai, Niladri Chatterjee, Subhabrata Dutta, Tanmoy Chakraborty	N/A	N/A
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training	Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng	N/A	N/A
Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability	Xinyu Hu, Li Lin, Mingqi Gao, Xunjian Yin, Xiaojun Wan	N/A	N/A
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging	Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, hanyu Zhao, Siqi Fan, Zheng Zhang	N/A	N/A
Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning	Sam Spilsbury, Pekka Marttinen, Alexander Ilin	N/A	N/A
FAME: Factual Multi-task Model Editing Benchmark	Li Zeng, Yingyu Shan, Zeming Liu, Jiashu Yao, Yuhang Guo	N/A	N/A
MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance	Renjie Pi, Tianyang Han, Jianshu Zhang, Yueqi XIE, Rui Pan, Qing LIAN, Hanze Dong, Jipeng Zhang, Tong Zhang	N/A	N/A
Leveraging Large Language Models for NLG Evaluation: Advances and Challenges	Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Yuxuan Lai, Chongyang Tao, Shuai Ma	N/A	N/A
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs	Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang	N/A	N/A
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models	Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin	N/A	N/A
CorrSynth - A Correlated Sampling Method for Diverse dataset Generation from LLMs	Abhishek Divekar, Suhas S Kowshik, Vijit Malik	N/A	N/A
Defining Knowledge: Bridging Epistemology and Large Language Models	Constanza Fierro, Ruchira Dhar, Filippos Stamatiou, Nicolas Garneau, Anders Søgaard	N/A	N/A
TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs	Peiwen Jiang, Zibo Zhao, Xinbo Lin, Ruhui Ma, Yvonne Jie Chen, Jinhua Cheng	N/A	N/A
Free your mouse! Command Large Language Models to Generate Code to Format Word Documents	Shihao Rao, Liang Li, Jiapeng Liu, Guan Weixin, Xiyan Gao, bing lim	N/A	N/A
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models	Jiawei Gu, Zacc Yang, Chuanghao Ding, Rui Zhao, Fei Tan	N/A	N/A
The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs	Tianyang Han, Qing LIAN, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang	N/A	N/A
Rationale-Aware Answer Verification by Pairwise Self-Evaluation	Akira Kawabata, Saku Sugawara	N/A	N/A
On the Robustness of Editing Large Language Models	Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, hai zhao, lifeng Liu, Yulong Wang	N/A	N/A
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method	MiHyeon Kim, Juhyoung Park, YoungBin Kim	N/A	N/A
Distract Large Language Models for Automatic Jailbreak Attack	Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen	N/A	N/A
Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification	He-Zhe Lin, Cheng-Hung Liu, Chih-Jen Lin	N/A	N/A
WorryWords: Norms of Anxiety Association for 44,450 English Words	Saif M. Mohammad	N/A	N/A
Finding Blind Spots in Evaluator LLMs with Interpretable Checklists	Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma, Mitesh M Khapra	N/A	N/A
LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration	Jun Zhao, Can Zu, Xu Hao, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments	Till Raphael Saenger, Musashi Hinck, Justin Grimmer, Brandon M. Stewart	N/A	N/A
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs	Simone Conia, Daniel Lee, Min Li, Umar Farooq Minhas, Saloni Potdar, Yunyao Li	N/A	N/A
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems	Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang	N/A	N/A
Scaling Laws for Linear Complexity Language Models	Xuyang Shen, Dong Li, Ruitao Leng, Zhen Qin, Weigao Sun, Yiran Zhong	N/A	N/A
Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards	Heejin Do, Sangwon Ryu, Gary Lee	N/A	N/A
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis	Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Johnson	N/A	N/A
ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models	Fu Zhang, Yifan Ding, Jingwei Cheng	N/A	N/A
LM2: A Simple Society of Language Models Solves Complex Reasoning	Gurusha Juneja, Subhabrata Dutta, Tanmoy Chakraborty	N/A	N/A
Towards a Semantically-aware Surprisal Theory	Clara Meister, Mario Giulianelli, Tiago Pimentel	N/A	N/A
Multi-Level Information Retrieval Augmented Generation for Knowledge-based Visual Question Answering	Adjali Omar, Olivier Ferret, Sahar Ghannay, Hervé Le Borgne	N/A	N/A
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?	Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu	N/A	N/A
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP	Omer Goldman, Alon Jacovi, Aviv Slobodkin, Aviya Maimon, Ido Dagan, Reut Tsarfaty	N/A	N/A
BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training	Pavel Chizhov, Catherine Arnett, Elizaveta Korotkova, Ivan P. Yamshchikov	N/A	N/A
SEGMENT+: Long Text Processing with Short-Context Language Models	Wei Shi, Shuang Li, Kerun Yu, Jinglei Chen, Zujie Liang, Xinhui Wu, Yuxi Qian, Feng Wei, Bo Zheng, Jiaqing Liang, Jiangjie Chen, Yanghua Xiao	N/A	N/A
Explicit Memory Learning with Expectation Maximization	Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang	N/A	N/A
Learning to Generate Writing Feedback via Language Model Simulated Student Revisions	Inderjeet Jayakumar Nair, Jiaye Tan, Xiaotian Su, Anne Gere, Xu Wang, Lu Wang	N/A	N/A
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent	Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang	N/A	N/A
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions	Clement Neo, Shay B Cohen, Fazl Barez	N/A	N/A
Still Not Quite There! Assessing Large Language Models for Comorbid Mental Health Diagnosis	Amey Hengle, Atharva Kulkarni, Shantanu Deepak Patankar, Rashmi Gupta	N/A	N/A
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning	Shaobo Cui, Zhijing Jin, Bernhard Schölkopf, Boi Faltings	N/A	N/A
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups	Răzvan-Alexandru Smădu, David-Gabriel ION, Dumitru-Clementin Cercel, Florin Pop, Mihaela-Claudia Cercel	N/A	N/A
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue	Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng	N/A	N/A
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!	Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, Tanmoy Chakraborty	N/A	N/A
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations	Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam .	N/A	N/A
**YesBut	Abhilash Nandy, Yash Agarwal, Ashish Patwa, Millon Madhur Das, Aman Bansal, ANKIT RAJ, Pawan Goyal, Niloy Ganguly	N/A	N/A
Scaling Cognitive Limits: Identifying Working Memory Limits in LLMs	Chunhui Zhang, Yiren Jian, Zhongyu Ouyang, Soroush Vosoughi	N/A	N/A
RAFT: Realistic Attacks to Fool Text Detectors	James Liyuan Wang, Ran Li, Junfeng Yang, Chengzhi Mao	N/A	N/A
LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks	Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro	N/A	N/A
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping	AJAY KUMAR JAISWAL, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella	N/A	N/A
LLM-based Code-Switched Text Generation for Grammatical Error Correction	Tom Potter, Zheng Yuan	N/A	N/A
Deciphering the Interplay of Parametric and Non-Parametric Memory in RAG Models	Mehrdad Farahani, Richard Johansson	N/A	N/A
On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning	Geewook Kim, Minjoon Seo	N/A	N/A
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities	Zihao He, Rebecca Dorn, Minh Duc Chu, Siyi Guo, Kristina Lerman	N/A	N/A
Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models	Eldar Kurtic, Amir Moeini, Dan Alistarh	N/A	N/A
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models	Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna	N/A	N/A
One Thousand and One Pairs: A “novel” challenge for long-context language models	Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, Mohit Iyyer	N/A	N/A
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation	Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung	N/A	N/A
Do LLMs learn a true syntactic universal?	John T. Hale, Miloš Stanojević	N/A	N/A
GDPO: Learning to Align Language Models with Diversity Using GFlowNets	Oh Joon Kwon, Daiki E. Matsunaga, Kee-Eung Kim	N/A	N/A
How Susceptible are Large Language Models to Ideological Manipulation?	Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman	N/A	N/A
Measuring Psychological Depth in Language Models	Fabrice Y Harel-Canada, Hanyu Zhou, Sreya Muppalla, Zeynep Senahan Yildiz, Miryung Kim, Nanyun Peng, Amit Sahai	N/A	N/A
Media Attitude Detection via Framing Analysis with Events and their Relations	Jin Zhao, Jingxuan Tu, Han Du, Nianwen Xue	N/A	N/A
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data	Yang Ba, Michelle V Mancenido, Rong Pan	N/A	N/A
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations	Sagi Shaier, Ari Kobren, Philip V. Ogren	N/A	N/A
Granular Privacy Control for Geolocation with Vision Language Models	Ethan Mendes, Yang Chen, James Hays, Sauvik Das, Wei Xu, Alan Ritter	N/A	N/A
MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain	Chao Jiang, Wei Xu	N/A	N/A
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification	Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang	N/A	N/A
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization	Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao	N/A	N/A
StorySpark: Expert-Annotated QA Pairs with Real-World Knowledge for Children Storytelling	Jiaju Chen, Yuxuan Lu, Shao Zhang, Bingsheng Yao, Yuanzhe Dong, Ying Xu, Yunyao Li, Qianwen Wang, Dakuo Wang, Yuling Sun	N/A	N/A
MedCoT: Medical Chain of Thought via Hierarchical Expert	Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, Zuozhu Liu	N/A	N/A
Varying Sentence Representations via Condition-Specified Routers	Ziyong Lin, Quansen Wang, Zixia Jia, Zilong Zheng	N/A	N/A
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues	Jiao Ou, jiayu wu, Che Liu, Fuzheng Zhang, Di ZHANG, Kun Gai	N/A	N/A
Information Flow Routes: Automatically Interpreting Language Models at Scale	Javier Ferrando, Elena Voita	N/A	N/A
A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models	Houquan Zhou, Zhenghua Li, Bo Zhang, Chen Li, Shaopeng Lai, Ji Zhang, Fei Huang, Min Zhang	N/A	N/A
Low-rank Subspace for Binding in Large Language Models	Qin Dai, Benjamin Heinzerling, Kentaro Inui	N/A	N/A
CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference	Erxin Yu, Jing Li, Ming Liao, Siqi Wang, GAO Zuchen, Fei Mi, Lanqing HONG	N/A	N/A
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures	Tobias Schimanski, Jingwei Ni, Roberto Spacey Martín, Nicola Ranger, Markus Leippold	N/A	N/A
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs	LIU Ran, Zhongzhou Liu, Xiaoli Li, Yuan Fang	N/A	N/A
Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness	Shixuan Ma, Quan Wang	N/A	N/A
Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection	Zhanpeng Chen, Zhihong Zhu, Xianwei Zhuang, Zhiqi Huang, Yuexian Zou	N/A	N/A
From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking	Siyuan Wang, Zhuohan Long, Zhihao Fan, zhongyu wei	N/A	N/A
Symbolic Working Memory Enhances Language Models for Complex Rule Application	Siyuan Wang, zhongyu wei, Yejin Choi, Xiang Ren	N/A	N/A
LLoCO: Learning Long Contexts Offline	Sijun Tan, Xiuyu Li, Shishir G Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Popa	N/A	N/A
Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration	Xin Mao, Feng-Lin Li, Huimin Xu, Wei Zhang, WANG CHEN, Anh Tuan Luu	N/A	N/A
Mentor-KD: Making Small Language Models Better Multi-step Reasoners	Hojae Lee, Junho Kim, SangKeun Lee	N/A	N/A
Are Large Language Models Capable of Generating Human-Level Narratives?	Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng	N/A	N/A
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs	Yerin Hwang, Yongil Kim, Yunah Jang, Jeesoo Bang, Hyunkyung Bae, Kyomin Jung	N/A	N/A
Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction	Haohui Lu, Usman Naseem	N/A	N/A
Searching for Best Practices in Retrieval-Augmented Generation	Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang	N/A	N/A
Moral Foundations of Large Language Models	Marwa Abdulhai, Gregory Serapio-García, Clement CREPY, Daria Valter, John Canny, Natasha Jaques	N/A	N/A
The Zeno’s Paradox of ‘Low-Resource’ Languages	Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman, Thamar Solorio, Monojit Choudhury	N/A	N/A
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization	Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md Shad Akhtar	N/A	N/A
Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition	Pritika Ramu, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan	N/A	N/A
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment	Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima	N/A	N/A
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging	Deyuan Liu, Zhanyue Qin, Hairu Wang, Zhao Yang, Zecheng Wang, Fangying Rong, Qingbin Liu, Yanchao Hao, Bo Li, Xi Chen, Cunhang Fan, Zhao Lv, Dianhui Chu, Zhiying Tu, Dianbo Sui	N/A	N/A
Embedded Named Entity Recognition using Probing Classifiers	Nicholas Popovic, Michael Färber	N/A	N/A
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training	Zhou Zhang, Dongzeng Tan, Jiaan Wang, Yilong Chen, Jiarong Xu	N/A	N/A
Data Contamination Can Cross Language Barriers	Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang	N/A	N/A
Automated Essay Scoring: A Reflection on the State of the Art	Shengjie Li, Vincent Ng	N/A	N/A
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate	Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Shuming Shi, Zhaopeng Tu	N/A	N/A
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs	Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
CURE: Context- and Uncertainty-Aware Mental Disorder Detection	Migyeong Kang, goun choi, Hyolim Jeon, Ji hyun An, Daejin Choi, Jinyoung Han	N/A	N/A
PepRec: Progressive Enhancement of Prompting for Recommendation	Yakun Yu, Shi-ang Qi, Baochun Li, Di Niu	N/A	N/A
In-Context Compositional Generalization for Large Vision-Language Models	Chuanhao Li, Chenchen Jing, Zhen Li, Mingliang Zhai, Yuwei Wu, Yunde Jia	N/A	N/A
Improving Zero-shot LLM Re-Ranker with Risk Minimization	Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu	N/A	N/A
Game on Tree: Visual Hallucination Mitigation via Coarse-to-Fine View Tree and Game Theory	Xianwei Zhuang, Zhihong Zhu, Zhanpeng Chen, Yuxin Xie, Liming Liang, Yuexian Zou	N/A	N/A
Label Confidence Weighted Learning for Target-level Sentence Simplification	Jingshen Zhang, Xin Ying Qiu	N/A	N/A
Quantum Recurrent Architectures for Text Classification	Wenduan Xu, Stephen Clark, Douglas Brown, Gabriel Matos, Konstantinos Meichanetzidis	N/A	N/A
Tree of Problems: Improving structured problem solving with compositionality	Armel Randy Zebaze, Benoît Sagot, Rachel Bawden	N/A	N/A
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study	Beatrice Savoldi, Sara Papi, Matteo Negri, Ana Guerberof-Arenas, Luisa Bentivogli	N/A	N/A
Seg2Act: Global Context-aware Action Generation for Document Logical Structuring	Zichao Li, Shaojie He, Meng Liao, Xuanang Chen, Yaojie Lu, Hongyu Lin, Yanxiong Lu, Xianpei Han, Le Sun	N/A	N/A
Is C4 Dataset Enough for Pruning? An Investigation of Calibration Data for LLM Pruning	Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, AJAY KUMAR JAISWAL, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu	N/A	N/A
Revisiting the Robustness of Watermarking to Paraphrasing Attacks	Saksham Rastogi, Danish Pruthi	N/A	N/A
A Survey of Ontology Expansion for Conversational Understanding	Jinggui Liang, Yuxia Wu, Yuan Fang, Hao Fei, Lizi Liao	N/A	N/A
Calibrating Language Models with Adaptive Temperature Scaling	Johnathan Xie, Annie S Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn	N/A	N/A
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?	Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo	N/A	N/A
Why do objects have many names? A study on word informativeness in language use and lexical systems.	Eleonora Gualdoni, Gemma Boleda	N/A	N/A
Dual-Space Knowledge Distillation for Large Language Models	Songming Zhang, Xue Zhang, Zengkui Sun, Yufeng Chen, Jinan Xu	N/A	N/A
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition	Elena Merdjanovska, Ansar Aynetdinov, Alan Akbik	N/A	N/A
On the Universal Truthfulness Hyperplane Inside LLMs	Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He	N/A	N/A
PairDistill: Pairwise Relevance Distillation for Dense Retrieval	Chao-Wei Huang, Yun-Nung Chen	N/A	N/A
User Inference Attacks on Large Language Models	Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu	N/A	N/A
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy	YongKang Liu, Yiqun Zhang, Qian Li, Tong Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schuetze	N/A	N/A
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models	Yufang Liu, Tao Ji, Changzhi Sun, Yuanbin Wu, Aimin Zhou	N/A	N/A
Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation	Matthew Raffel, Victor Agostinelli, Lizhong Chen	N/A	N/A
ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback	Qinzhuo Wu, Wei Liu, Jian Luan, Bin Wang	N/A	N/A
Please note that I’m just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification	Esra Dönmez, Thang Vu, Agnieszka Falenska	N/A	N/A
How to Compute the Probability of a Word	Tiago Pimentel, Clara Meister	N/A	N/A
A linguistically-motivated evaluation methodology for unraveling model’s abilities in reading comprehension tasks	Elie Antoine, Frederic Bechet, Géraldine Damnati, Philippe Langlais	N/A	N/A
GuardBench: A Large-Scale Benchmark for Guardrail Models	Elias Bassani, Ignacio Sanchez	N/A	N/A
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering	Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu	N/A	N/A
Language models and brains align due to more than next-word prediction and word-level information	Gabriele Merlin, Mariya Toneva	N/A	N/A
LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement	Zijin Feng, Luyang Lin, Lingzhi Wang, Hong Cheng, Kam-Fai Wong	N/A	N/A
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures	Ekaterina Sviridova, Anar Yeginbergen, Ainara Estarrona, Elena Cabrio, Serena Villata, Rodrigo Agerri	N/A	N/A
A Simple and Effective $L_2$ Norm-Based Strategy for KV Cache Compression	Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini	N/A	N/A
GOME: Grounding-based Metaphor Binding With Conceptual Elaboration For Figurative Language Illustration	Linhao Zhang, Jintao Liu, Li Jin, Hao Wang, kaiwen wei, Guangluan Xu	N/A	N/A
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation	Aida Mostafazadeh Davani, Mark Diaz, Dylan K Baker, Vinodkumar Prabhakaran	N/A	N/A
PALM: Few-Shot Prompt Learning for Audio Language Models	Asif Hanif, Maha Tufail Agro, Mohammad Areeb Qazi, Hanan Aldarmaki	N/A	N/A
Annotator-Centric Active Learning for Subjective NLP Tasks	Michiel van der Meer, Neele Falk, Pradeep K. Murukannaiah, Enrico Liscio	N/A	N/A
Lost in Tokenization: How to Measure Word Surprisal From LM Token Probabilities	Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell, Mario Giulianelli	N/A	N/A
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation	Anas Himmi, Guillaume Staerman, Marine Picot, Pierre Colombo, Nuno M Guerreiro	N/A	N/A
Jailbreaking LLMs with Arabic Transliteration and Arabizi	Mansour Al Ghanim, saleh almohaimeed, Mengxin Zheng, Yan Solihin, Qian Lou	N/A	N/A
Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models	Zara Siddique, Liam Turner, Luis Espinosa-Anke	N/A	N/A
Instruction Matters, a Simple yet Effective Task Selection Approach in Instruction Tuning for Specific Tasks	Changho Lee, Janghoon Han, Seonghyeon Ye, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae	N/A	N/A
Recurrent Alignment with Hard Attention for Hierarchical Text Rating	Chenxi Lin, Ren Jiayu, Guoxiu He, Zhuoren Jiang, Haiyan yu, Xiaomin Zhu	N/A	N/A
CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification	Junhui He, Shangyu Wu, Weidong Wen, Chun Jason Xue, Qingan Li	N/A	N/A
Semformer: Transformer Language Models with Semantic Planning	Yongjing Yin, Junran Ding, Kai Song, Yue Zhang	N/A	N/A
DocCGen: Document-based Controlled Code Generation	Sameer Pimparkhede, Mehant Kammakomati, Srikanth G. Tamilselvam, Prince Kumar, Ashok Pon Kumar, Pushpak Bhattacharyya	N/A	N/A
Semantics and Sentiment: Cross-lingual Variations in Emoji Use	Giulio Zhou, Sydelle de Souza, Ella Markham, Oghenetekevwe Kwakpovwe, Sumin Zhao	N/A	N/A
The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations	Daniel Akkerman, Phong Le, Raquel G. Alhama	N/A	N/A
Transformers are Multi-State RNNs	Matanel Oren, Michael Hassid, Nir Yarden, Yossi Adi, Roy Schwartz	N/A	N/A
Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization	Niyati Bafna, Kenton Murray, David Yarowsky	N/A	N/A
Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion	Kerem Zaman, Leshem Choshen, Shashank Srivastava	N/A	N/A
Collective Critics for Creative Story Generation	Minwook Bae, Hyounghun Kim	N/A	N/A
Surprisal Curves of Discourse	Eleftheria Tsipidi, Franz Nowak, Ryan Cotterell, Ethan Wilcox, Mario Giulianelli, Alex Warstadt	N/A	N/A
Model-based Preference Optimization in Abstractive Summarization without Human Feedback	Jaepill choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim	N/A	N/A
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?	Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
NeuroTrialNER: An Annotated Corpus for Neurological Diseases and Therapies in Clinical Trial Registries	Simona Emilova Doneva, Tilia Ellendorff, Jean-Philippe Goldman, Amelia Elaine Cannon, Gerold Schneider, Beate Sick, Benjamin Victor Ineichen	N/A	N/A
Do Explanations Help or Hurt? Saliency Maps vs Natural Language Explanations in a Clinical Decision-Support Setting	Maxime Guillaume Kayser, Bayar Menzat, Cornelius Emde, Bogdan Alexandru Bercean, Alex Novak, Abdalá Trinidad Espinosa Morgado, Bartlomiej Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu	N/A	N/A
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering	WEIHE ZHAI, Arkaitz Zubiaga, Bingquan Liu, Chengjie Sun, Yalong Zhao	N/A	N/A
Generation with Dynamic Vocabulary	Yanting Liu, Tao Ji, Yuanbin Wu, Xiaoling Wang, Changzhi Sun	N/A	N/A
Argument Relation Classification through Discourse Markers and Adversarial Training	Michele Luca Contalbo, Francesco Guerra, Matteo Paganelli	N/A	N/A
Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection	Abhishek Purushothama, Adam Wiemerslage, Katharina von der Wense	N/A	N/A
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval	Dae Yon Hwang, Bilal Taha, Harshit Pande, Yaroslav Nechaev	N/A	N/A
Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language Models	Po-Heng Chen, Yun-Nung Chen	N/A	N/A
Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation	Ruiyu Xiao, Lei Wu, Yuhang Gou, Weinan Zhang, Ting Liu	N/A	N/A
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning	Kate Sanders, Nathaniel Weir, Benjamin Van Durme	N/A	N/A
Unsupervised Extraction of Dialogue Policies from Conversations	Makesh Narsimhan Sreedhar, Traian Rebedea, Christopher Parisien	N/A	N/A
GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization	Onkar Kishor Susladkar, Gayatri Sudhir Deshmukh, Vandan Gorade, Sparsh Mittal	N/A	N/A
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality	Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim	N/A	N/A
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture	Wenyan Li, Crystina Zhang, Jiaang Li, Qiwei Peng, Raphael Tang, Li Zhou, Weijia Zhang, Guimin Hu, Yifei Yuan, Anders Søgaard, Daniel Hershcovich, Desmond Elliott	N/A	N/A
A Two-Step Approach for Data-Efficient French Pronunciation Learning	Hoyeon Lee, Hyeeun Jang, JONGHWAN KIM, Jaemin Kim	N/A	N/A
Exploring Intra and Inter-language Consistency in Embeddings with ICA	Rongzhi Li, Takeru Matsuda, Hitomi Yanaka	N/A	N/A
DetoxLLM: A Framework for Detoxification with Explanations	Md Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan	N/A	N/A
Building a Multi-Platform, BERT Classifier for Detecting Connective Language	Josephine Lukito, Bin Chen, Gina M. Masullo, Natalie Jomini Stroud	N/A	N/A
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models	Yash Akhauri, Ahmed F AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M Rush, Safeen Huda, Mohamed S Abdelfattah	N/A	N/A
Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health	Krishnapriya Vishnubhotla, Daniela Teodorescu, Mallory J Feldman, Kristen Lindquist, Saif M. Mohammad	N/A	N/A
BLSP-Emo: Towards Empathetic Large Speech-Language Models	Chen Wang, Minpeng Liao, Zhongqiang Huang, Junhong Wu, Chengqing Zong, Jiajun Zhang	N/A	N/A
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation	Abhishek Divekar, Greg Durrett	N/A	N/A
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model	Wenqi Zhang, Zhenglin Cheng, Yuanyu He, Mengna Wang, Yongliang Shen, Zeqi Tan, Guiyang Hou, Mingqian He, Yanna Ma, Weiming Lu, Yueting Zhuang	N/A	N/A
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts	Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty	N/A	N/A
DEM: Distribution Edited Model for Training with Mixed Data Distributions	Dhananjay Ram, Aditya Rawal, Momchil Hardalov, Nikolaos Pappas, Sheng Zha	N/A	N/A
Altogether: Image Captioning via Re-aligning Alt-text	Hu Xu, Po-Yao Huang, Xiaoqing Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer	N/A	N/A
VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp	Seo Yeon Park, Cornelia Caragea	N/A	N/A
CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans	Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Ray Mooney	N/A	N/A
Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics	Théo Gigant, Camille Guinaudeau, Marc decombas, Frederic Dufaux	N/A	N/A
An Empirical Analysis of the Writing Styles of Persona-Assigned LLMs	Manuj Malik, Jing Jiang, Kian Ming A. Chai	N/A	N/A
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks	Amit Parekh, Nikolas Vitsakis, Alessandro Suglia, Ioannis Konstas	N/A	N/A
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning	Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev	N/A	N/A
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing	Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang	N/A	N/A
Sequential API Function Calling Using GraphQL Schema	Avirup Saha, Lakshmi Mandal, Balaji Ganesan, Sambit Ghosh, Renuka Sindhgatta, Carlos Eberhardt, Dan Debrunner, Sameep Mehta	N/A	N/A
The Illusion of Competence: Evaluating the Effect of Explanations on Users’ Mental Models of Visual Question Answering Systems	Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier, Sina Zarrieß	N/A	N/A
Re-Evaluating Evaluation for Multilingual Summarization	Jessica Zosa Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Minghao Wu, Carsten Eickhoff, Stella Biderman, Ellie Pavlick	N/A	N/A
Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding	Heng zhao, Zhao Yinjie, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou	N/A	N/A
A Fast and Sound Tagging Method for Discontinuous Named-Entity Recognition	Caio Filippo Corro	N/A	N/A
Factuality of Large Language Models in the Year 2024	Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Fei Liu, Georgi Nenkov Georgiev, Rocktim Jyoti Das, Preslav Nakov	N/A	N/A
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation	Youngwoo Kim, Razieh Rahimi, James Allan	N/A	N/A
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse	Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko	N/A	N/A
DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers	Rakesh R Menon, Shashank Srivastava	N/A	N/A
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning	Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha	N/A	N/A
Scope-enhanced Compositional Semantic Parsing for DRT	Xiulin Yang, Jonas Groschwitz, Alexander Koller, Johan Bos	N/A	N/A
The Generation Gap: Exploring Age Bias Underlying in the Value Systems of Large Language Models	Siyang Liu, Trisha Maturi, Bowen Yi, Siqi Shen, Rada Mihalcea	N/A	N/A
TempoFormer: A Transformer for Temporally-aware Representations in Change Detection	Talia Tseriotou, Adam Tsakalidis, Maria Liakata	N/A	N/A
Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?	Guillermo Marco, Julio Gonzalo, M.Teresa Mateo-Girona, Ramón del Castillo Santos	N/A	N/A
Evaluating Diversity in Automatic Poetry Generation	Yanran Chen, Hannes Gröner, Sina Zarrieß, Steffen Eger	N/A	N/A
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models	Yi Zhou, Danushka Bollegala, Jose Camacho-Collados	N/A	N/A
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection	Camilla Casula, Sebastiano Vecellio Salto, Alan Ramponi, Sara Tonelli	N/A	N/A
Grounding Language in Multi-Perspective Referential Communication	Zineng Tang, Lingjun Mao, Alane Suhr	N/A	N/A
Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval	Yifan Qiao, Parker Carlson, Shanxiu He, Yingrui Yang, Tao Yang	N/A	N/A
Error Analysis of Multilingual Language Models in Machine Translation for Low-resource Languages: A Case Study of Amharic to English Bi-directional Machine Translation	Hizkiel Mitiku Alemayehu, Hamada M Zahera, Axel-Cyrille Ngonga Ngomo	N/A	N/A
MIPD: Exploring Manipulation and Intention In a Novel Corpus of Polish Disinformation	Arkadiusz Modzelewski, Giovanni Da San Martino, Pavel Savov, Magdalena Anna Wilczyńska, Adam Wierzbicki	N/A	N/A
Unsupervised Discrete Representations of American Sign Language	Artem Abzaliev, Rada Mihalcea	N/A	N/A
Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models	Chani Jung, Dongkwan Kim, Jiho Jin, Jiseon Kim, Yeon Seonwoo, Yejin Choi, Alice Oh, Hyunwoo Kim	N/A	N/A
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs	Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, Seunghyun Yoon, Ryan A. Rossi, Trung Bui	N/A	N/A
Jump Starting Bandits with LLM-Generated Prior Knowledge	Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson	N/A	N/A
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?	Fırat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çağatay Yıldız	N/A	N/A
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation	Ruotong Pan, Boxi Cao, Hongyu Lin, Xianpei Han, Jia Zheng, Sirui Wang, Xunliang Cai, Le Sun	N/A	N/A
Virtual Personas for Language Models via an Anthology of Backstories	Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David Chan	N/A	N/A
Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?	Nemika Tyagi, Mihir Parmar, Mohith Kulkarni, Aswin RRV, Nisarg Patel, Mutsumi Nakamura, Arindam Mitra, Chitta Baral	N/A	N/A
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies	Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun	N/A	N/A
The Empirical Variability of Narrative Perceptions of Social Media Texts	Joel Mire, Maria Antoniak, Elliott Ash, Andrew Piper, Maarten Sap	N/A	N/A
Which questions should I answer? Salience Prediction of Inquisitive Questions	Yating Wu, Ritika Rajesh Mangla, Alex Dimakis, Greg Durrett, Junyi Jessy Li	N/A	N/A
Revealing Personality Traits: A New Benchmark Dataset for Explainable Personality Recognition on Dialogues	Lei Sun, Jinming Zhao, Qin Jin	N/A	N/A
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech	Guan-Ting Lin, Wei Ping Huang, Hung-yi Lee	N/A	N/A
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities	Sachit Menon, Richard Zemel, Carl Vondrick	N/A	N/A
CodeJudge: Evaluating Code Generation with Large Language Models	Weixi Tong, Tianyi Zhang	N/A	N/A
Self-Training Large Language and Vision Assistant for Medical	Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, ZHIQIANG TAO	N/A	N/A
SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization	Prakamya Mishra, Zonghai Yao, Parth Vashisht, Feiyun Ouyang, Beining Wang, Vidhi Dhaval Mody, hong yu	N/A	N/A
Defending Jailbreak Prompts via In-Context Adversarial Game	Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang	N/A	N/A
Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter	Kateryna Kasianenko, Shima Khanehzar, Stephen Wan, Ehsan Dehghan, Axel Bruns	N/A	N/A
Multilingual Topic Classification in X: Dataset and Analysis	Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Jose Camacho-Collados	N/A	N/A
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models	Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong	N/A	N/A
Updating CLIP to Prefer Descriptions Over Captions	Amir Zur, Elisa Kreiss, Karel D’Oosterlinck, Christopher Potts, Atticus Geiger	N/A	N/A
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research	Sian-Yao Huang, Cheng-Lin Yang, Che-Yu Lin, Chun-Ying Huang	N/A	N/A
Back to School: Translation Using Grammar Books	Jonathan Hus, Antonios Anastasopoulos	N/A	N/A
VIEWS: Entity-Aware News Video Captioning	Hammad Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, feng han, Yukun Zhu, Xuande Feng, Kevin Zhang, Jialu Liu, Shih-Fu Chang	N/A	N/A
Towards Aligning Language Models with Textual Feedback	Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan	N/A	N/A
ATPO: Automatic Tree-Structured Prompt Optimization	Sheng Yang, Yurong Wu, Yan Gao, Zineng Zhou, Xiaodi Sun, Bin Benjamin Zhu, Jian-Guang Lou, Zhiming Ding, Anbang Hu, Yuan Fang, Yunsong Li, Junyan Chen, Linjun Yang	N/A	N/A
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators	Xinglin Lyu, Junhui Li, Yanqing Zhao, Min Zhang, Daimeng Wei, shimin tao, Hao Yang, Min Zhang	N/A	N/A
DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection	Devleena Das, Vivek Khetan	N/A	N/A
Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models	Yuko Nakagi, Takuya Matsuyama, Naoko Koide-Majima, Hiroto Q. Yamaguchi, Rieko Kubo, Shinji Nishimoto, Yu Takagi	N/A	N/A
“They are uncultured”: Unveiling Covert Harms and Social Threats in LLM Generated Conversations	Preetam Prabhu Srikar Dammu, Hayoung Jung, Anjali Singh, Monojit Choudhury, Tanu Mitra	N/A	N/A
Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models	Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen	N/A	N/A
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?	Gabriel Roccabruna, Massimo Rizzoli, giuseppe riccardi	N/A	N/A
Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties	Keunwoo Peter Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, Joyce Chai	N/A	N/A
Framework for Robust and Scalable Text Watermarking	Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low	N/A	N/A
MASIVE: Open-Ended Affective State Identification in English and Spanish	Nicholas Deas, Elsbeth Turcan, Ivan Ernesto Perez Mejia, Kathleen McKeown	N/A	N/A
You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions	Tasnim Kabir, Yoo Yeon Sung, Saptarashmi Bandyopadhyay, Hao Zou, Abhranil Chandra, Jordan Lee Boyd-Graber	N/A	N/A
AlphaExpert: Assigning LoRA Experts Based on Layer Training Quality	Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi	N/A	N/A
Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling	Irfan Robbani, Paul Reisert, Surawat Pothong, Naoya Inoue, Camélia Guerraoui, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui	N/A	N/A
Advancing Social Intelligence in AI Agents: Technical Challenges and Open Question	Leena Mathur, Paul Pu Liang, Louis-Philippe Morency	N/A	N/A
RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models	Ziyi Kou, Shichao Pei, Meng Jiang, Xiangliang Zhang	N/A	N/A
Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese	Rifki Afina Putri, Faiz Ghifari Haznitrama, Dea Adhista, Alice Oh	N/A	N/A
Learnability of Indirect Evidence in Language Models	Miyu Oba, Yohei Oseki, Akiyo Fukatsu, Akari Haga, Hiroki Ouchi, Taro Watanabe, Saku Sugawara	N/A	N/A
Do LLMs Know to Respect Copyright Notice?	Jialiang Xu, SHENGLAN LI, Zhaozhuo Xu, Denghui Zhang	N/A	N/A
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding	Hanchi Sun, Tianyi Zhou, Xun Chen, Lichao Sun	N/A	N/A
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding	YeonJoon Jung, Jaeseong Lee, Seungtaek Choi, Dohyeon Lee, Minsoo Kim, seung-won hwang	N/A	N/A
Rethinking the Role of Proxy Rewards in Language Model Alignment	Sungdong Kim, Minjoon Seo	N/A	N/A
Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant	Abhirama Subramanyam Penamakuri, Anand Mishra	N/A	N/A
How Good is my MT Metric? A Framework for the Interpretation of Metric Assessments	Stefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, Edoardo Barba, Roberto Navigli	N/A	N/A
IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning	Soeun Lee, Si-Woo Kim, Taewhan Kim, Dong-Jin Kim	N/A	N/A
SPREADSHEETLLM: Encoding Spreadsheets for Large Language Models	Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang	N/A	N/A
Let’s discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality	Rositsa V Ivanova, Thomas Huber, Christina Niklaus	N/A	N/A
Automatic sentence segmentation of clinical record narratives in real-world data	Dongfang Xu, Davy Weissenbacher, Karen O’Connor, Siddharth Rawal, Graciela Gonzalez Hernandez	N/A	N/A
One-to-Many Communication and Compositionality in Emergent Communication	Heeyoung Lee	N/A	N/A
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities	Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang	N/A	N/A
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?	Alexander Arno Weber, Klaudia Thellmann, Jan Ebert, Nicolas Flores-Herr, Jens Lehmann, Michael Fromm, Mehdi Ali	N/A	N/A
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models	Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral	N/A	N/A
Contrastive Classification via Linear Layer Extrapolation	Mayukh Sharma, Sean O’Brien, Julian McAuley	N/A	N/A
Task Oriented In-Domain Data Augmentation	Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao	N/A	N/A
SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers	Shruti Singh, Nandan Sarkar, Arman Cohan	N/A	N/A
Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules	Zhuocheng Gong, Ang Lv, Jian Guan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan	N/A	N/A
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages	Youssef Mohamed, Runjia Li, Ibrahim Said Ahmad, Kilichbek Haydarov, Philip Torr, Kenneth Church, Mohamed Elhoseiny	N/A	N/A
PREDICT: Multi-Agent-based Debate Simulation for Generalized Hate Speech Detection	Someen Park, Jaehoon Kim, Seungwan Jin, Sohyun Park, Kyungsik Han	N/A	N/A
TokenVerse: Unifying Speech and NLP Tasks via Transducer-based ASR	Shashi Kumar, Srikanth Madikeri, Juan Pablo Zuluaga Gomez, Iuliia Thorbecke, Esaú VILLATORO-TELLO, Sergio Burdisso, Petr Motlicek, Karthik Pandia D S, Aravind Ganapathiraju	N/A	N/A
ApiQ: Finetuning of 2-Bit Quantized Large Language Model	Baohao Liao, Christian Herold, Shahram Khadivi, Christof Monz	N/A	N/A
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk	Zhiyuan Zeng, Qipeng Guo, Xiaoran Liu, Zhangyue Yin, Wentao Shu, Mianqiu Huang, Bo Wang, Yunhua Zhou, Linlin Li, Qun Liu, Xipeng Qiu	N/A	N/A
A Morphology-Based Investigation of Positional Encodings	Poulami Ghosh, Shikhar Vashishth, Raj Dabre, Pushpak Bhattacharyya	N/A	N/A
I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining	Vahid Ghafouri, Jose M. Such, Guillermo Suarez-Tangil	N/A	N/A
BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability	Mamta Mamta, Rishikant Chigrupaatii, Asif Ekbal	N/A	N/A
ArMeme: Propagandistic Content in Arabic Memes	Firoj Alam, Abul Hasnat, Fatema Ahmad, Md. Arid Hasan, Maram Hasanain	N/A	N/A
Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts	Arianna Muti, Federico Ruggeri, Khalid Al Khatib, Alberto Barrón-Cedeño, Tommaso Caselli	N/A	N/A
Thoughts to Target: Enhance Planning for Target-driven Conversation	Zhonghua Zheng, Lizi Liao, Yang Deng, Ee-Peng Lim, Minlie Huang, Liqiang Nie	N/A	N/A
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging	Clara Na, Ian Magnusson, Ananya Harsh Jha, Tom Sherborne, Emma Strubell, Jesse Dodge, Pradeep Dasigi	N/A	N/A
Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation	Zhe Cao, Zhi Qu, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction: Value Also Matters	Zhiyu Guo, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation	Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim	N/A	N/A
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers	Tuc Van Nguyen, Thai Le	N/A	N/A
Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4	Woojin Kim, Sungeun Hahm, Jaejin Lee	N/A	N/A
Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game	Prisha Samdarshi, Mariam Mustafa, Anushka Kulkarni, Raven Rothkopf, Tuhin Chakrabarty, Smaranda Muresan	N/A	N/A
GottBERT: a pure German Language Model	Raphael Scheible, Johann Frei, Fabian Thomczyk, Henry He, Patric Tippmann, Jochen Knaus, Victor Jaravine, Frank Kramer, Martin Boeker	N/A	N/A
Computational Meme Understanding: A Survey	Khoi P. N. Nguyen, Vincent Ng	N/A	N/A
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage	Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis	N/A	N/A
Retrieval-enriched zero-shot image classification in low-resource domains	Nicola Dall’Asen, Yiming Wang, Enrico Fini, Elisa Ricci	N/A	N/A
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization	Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, hufeng, Yu Su, Qi Liu	N/A	N/A
Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps	Giuseppe Attanasio, Beatrice Savoldi, Dennis Fucci, Dirk Hovy	N/A	N/A
Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing	Baihe Huang, Hiteshi Sharma, Yi Mao	N/A	N/A
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion	Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Bill Wu, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist	N/A	N/A
Show and Guide: Instructional-Plan Grounded Vision and Language Model	Diogo Glória-Silva, David Semedo, Joao Magalhaes	N/A	N/A
Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents	Bandhav Veluri, Benjamin N Peloquin, Bokai YU, Hongyu Gong, Shyamnath Gollakota	N/A	N/A
QuBE: Question-based Belief Enhancement for Agentic LLM	Minsoo Kim, Jongyoon Kim, Jihyuk Kim, seung-won hwang	N/A	N/A
COMPACT: Compressing Retrieved Documents Actively for Question Answering	Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, Minbyul Jeong, Jaewoo Kang	N/A	N/A
An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models	Fatemeh Shiri, Xiao-Yu Guo, Mona Golestan Far, Xin Yu, Reza Haf, Yuan-Fang Li	N/A	N/A
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models	Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Sricharan Kumar	N/A	N/A
Local Contrastive Editing of Gender Stereotypes	Marlene Lutz, Rochelle Choenni, Markus Strohmaier, Anne Lauscher	N/A	N/A
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP	Stefan Larson, Nicole Cornehl Lima, Santiago Pedroza Diaz, Amogh Manoj Joshi, Siddharth Betala, Jamiu Tunde Suleiman, Yash Mathur, Kaushal Kumar Prajapati, Ramla Alakraa, Junjie Shen, Temi Okotore, Kevin Leach	N/A	N/A
RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages	Avik Dutta, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le	N/A	N/A
STAR: SocioTechnical Approach to Red Teaming Language Models	Laura Weidinger, John F J Mellor, Bernat Guillén Pegueroles, Nahema Marchal, Ravin Kumar, Kristian Lum, Canfer Akbulut, Mark Diaz, A. Stevie Bergman, Mikel D. Rodriguez, Verena Rieser, William Isaac	N/A	N/A
Do great minds think alike? Investigating Human-AI Complementarity for Question Answering	Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan Lee Boyd-Graber	N/A	N/A
Memory-Efficient Fine-Tuning of Transformers via Token Selection	Antoine Simoulin, Namyong Park, Xiaoyi Liu, Grey Yang	N/A	N/A
Unveiling the mystery of visual attributes of concrete and abstract concepts: Variability, nearest neighbors, and challenging categories	Tarun Tater, Sabine Schulte im Walde, Diego Frassinelli	N/A	N/A
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark	Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko	N/A	N/A
Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner	Shudong Liu, Zhaocong Li, Xuebo Liu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao, Min zhang	N/A	N/A
Preference-Guided Reflective Sampling for Aligning Language Models	Hai Ye, Hwee Tou Ng	N/A	N/A
Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP	Pieter Delobelle, Giuseppe Attanasio, Debora Nozza, Su Lin Blodgett, Zeerak Talat	N/A	N/A
Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs	Xuhui Zhou, Zhe Su, Tiwalayo Eisape, Hyunwoo Kim, Maarten Sap	N/A	N/A
A Simple LLM Framework for Long-Range Video Question-Answering	Ce Zhang, Taixi Lu, Md Mohaiminul Islam, Ziyang Wang, Shoubin Yu, Mohit Bansal, Gedas Bertasius	N/A	N/A
Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing	Akshat Gupta, Sidharth Baskaran, Gopala Anumanchipalli	N/A	N/A
Casablanca: Data and Models for Multidialectal Arabic Speech Recognition	Bashar Talafha, Karima Kadaoui, Samar Mohamed Magdy, Mariem Habiboullah, Chafei Mohamed Chafei, Ahmed Oumar El-Shangiti, Hiba Zayed, Mohamedou cheikh tourad, Rahaf Alhamouri, Rwaa Assi, Aisha Alraeesi, Hour Mohamed, Fakhraddin Alwajih, Abdelrahman Mohamed, Abdellah EL MEKKI, El Moatez Billah Nagoudi, Benelhadj Djelloul Mama Saadia, Hamzah A. Alsayadi, Walid Al-Dhabyani, Sara Shatnawi, Yasir ECH-CHAMMAKHY, AMAL MAKOUAR, Yousra Berrachedi, Mustafa Jarrar, Shady Shehata, Ismail Berrada, Muhammad Abdul-Mageed	N/A	N/A
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations	Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria	N/A	N/A
Communicating with Speakers and Listeners of Different Pragmatic Levels	Kata Naszadi, Frans A Oliehoek, Christof Monz	N/A	N/A
RECANTFormer: Referring Expression Comprehension with Varying Numbers of Targets	Bhathiya Hemanthage, Hakan Bilen, Phil Bartie, Christian Dondrup, Oliver Lemon	N/A	N/A
Sprout: Green Generative AI with Carbon-Efficient LLM Inference	Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari	N/A	N/A
Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs	Alexander Spangher, Nanyun Peng, Sebastian Gehrmann, Mark Dredze	N/A	N/A
T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings	Björn Deiseroth, Manuel Brack, Samuel Weinbach, Patrick Schramowski, Kristian Kersting	N/A	N/A
SpeechQE: Estimating the Quality of Direct Speech Translation	HyoJung Han, Kevin Duh, Marine Carpuat	N/A	N/A
Assessing and Verifying Task Utility in LLM-Powered Applications	Negar Arabzadeh, Siqing Huo, Nikhil Mehta, Qingyun Wu, Chi Wang, Ahmed Hassan Awadallah, Charles L. A. Clarke, Julia Kiseleva	N/A	N/A
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models	Somanshu Singla, Zhen Wang, Tianyang Liu, Abdullah Ashfaq, Zhiting Hu, Eric P. Xing	N/A	N/A
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree	Harbani Jaggi, Kashyap Coimbatore Murali, Eve Fleisig, Erdem Biyik	N/A	N/A
Adversarial Text Generation using Large Language Models for Dementia Detection	Youxiang Zhu, Nana Lin, Kiran Sandilya Balivada, Daniel Haehn, Xiaohui Liang	N/A	N/A
xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics	Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger	N/A	N/A
The Greatest Good Benchmark: Measuring LLMs’ Alignment with Utilitarian Moral Dilemmas	Giovanni Franco Gabriel Marraffini, Andrés Cotton, Noe Fabian Hsueh, Juan Wisznia, Axel Fridman, Luciano Del Corro	N/A	N/A
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding	Jiali Cheng, Hadi Amiri	N/A	N/A
Style-Shifting Behaviour of the Manosphere on Reddit	Jai Aggarwal, Suzanne Stevenson	N/A	N/A
The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective	Yihan Ma, Xinyue Shen, Yixin Wu, Boyang Zhang, Michael Backes, Yang Zhang	N/A	N/A
Holistic Evaluation for Interleaved Text-and-Image Generation	Minqian Liu, Zhiyang Xu, Zihao Lin, Trevor Ashby, Joy Rimchala, Jiaxin Zhang, Lifu Huang	N/A	N/A
FOLIO: Natural Language Reasoning with First-Order Logic	SIMENG HAN, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander Fabbri, Wojciech Maciej Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev	N/A	N/A
The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?	Alexander Choi, Syeda Sabrina Akter, J.P. Singh, Antonios Anastasopoulos	N/A	N/A
Is Child-Directed Speech Effective Training Data for Language Models?	Steven Y. Feng, Noah Goodman, Michael Frank	N/A	N/A
RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference	Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao	N/A	N/A
HCEG: Improving the Abstraction Ability of Language Models with Hierarchical Conceptual Entailment Graphs	Juncai Li, Ru Li, Xiaoli Li, Qinghua Chai, Jeff Z. Pan	N/A	N/A
M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought	Gitanjali Kumari, Kirtan Jain, Asif Ekbal	N/A	N/A
GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation	Govind Ramesh, Yao Dou, Wei Xu	N/A	N/A
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation	Kiseung Kim, Jay-Yoon Lee	N/A	N/A
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets	Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth	N/A	N/A
Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model	Mana Makinae, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text	Pritika Ramu, Aparna Garimella, Sambaran Bandyopadhyay	N/A	N/A
On the Fragility of Active Learners for Text Classification	Abhishek Ghose, Emma Thuong Nguyen	N/A	N/A
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers	Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang	N/A	N/A
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval	Jonghyun Song, Cheyon Jin, Wenlong Zhao, Jay-Yoon Lee	N/A	N/A
M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection	Chia-Wei Tang, Ting-Chih Chen, Alvi Md Ishmam, Kiet A. Nguyen, Kazi Sajeed Mehrab, Chris Thomas	N/A	N/A
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning	Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang	N/A	N/A
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records	Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang	N/A	N/A
SimLLM: Detecting Sentences Generated by Large Language Models Using Similarity between the Generation and its Re-generation	Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu	N/A	N/A
CELLO: Causal Evaluation of Large Vision-Language Models	Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu	N/A	N/A
Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair	Yusuke Sakai, Mana Makinae, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Training-free Deep Concept Injection Enables Language Models for Video Question Answering	Xudong Lin, Manling Li, Richard Zemel, Heng Ji, Shih-Fu Chang	N/A	N/A
MIBench: Evaluating Multimodal Large Language Models over Multiple Images	Haowei Liu, Xi Zhang, Haiyang Xu, Yaya Shi, Chaoya Jiang, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu	N/A	N/A
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering	Francesco Maria Molfese, Simone Conia, Riccardo Orlando, Roberto Navigli	N/A	N/A
ABLE: Personalized Disability Support with Politeness and Empathy Integration	Kshitij Mishra, Manisha Burja, Asif Ekbal	N/A	N/A
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models	Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, Sunghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo	N/A	N/A
Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code	Hyungjoo Chae, Taeyoon Kwon, Seungjun Moon, Yongho Song, Dongjin Kang, Kai Tzu-iunn Ong, Beong-woo Kwak, Seonghyeon Bae, seung-won hwang, Jinyoung Yeo	N/A	N/A
Improving Minimum Bayes Risk Decoding with Multi-Prompt	David Heineman, Yao Dou, Wei Xu	N/A	N/A
Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework	gopendra Vikram singh, Sai Vardhan Vemulapalli, Mauajama Firdaus, Asif Ekbal	N/A	N/A
Nearest Neighbor Normalization Improves Multimodal Retrieval	Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah Schwettmann, Tristan Thrush	N/A	N/A
Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning	Shengguang Wu, Shusheng Yang, Zhenglun Chen, Qi Su	N/A	N/A
LongRAG: A Dual-perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering	Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang	N/A	N/A
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models	Yuxuan Guo, Zhiliang Tian, YIPING SONG, Tianlun Liu, Liang Ding, Dongsheng Li	N/A	N/A
Knowledge Graph Enhanced Large Language Model Editing	Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen	N/A	N/A
Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews	Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal	N/A	N/A
Mitigating Open-Vocabulary Caption Hallucinations	Assaf Ben-Kish, Moran Yanuka, Morris Alper, Raja Giryes, Hadar Averbuch-Elor	N/A	N/A
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes	Kosuke Nishida, Kyosuke Nishida, Kuniko Saito	N/A	N/A
ALVIN: Active Learning Via INterpolation	Michalis Korakakis, Andreas Vlachos	N/A	N/A
Filtered Direct Preference Optimization	Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu	N/A	N/A
Instruction Fine-Tuning: Does Prompt Loss Matter?	Mathew Huerta-Enochian, Seung Yong Ko	N/A	N/A
Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia	Tomás Feith, Akhil Arora, Martin Gerlach, Debjit Paul, Robert West	N/A	N/A

EMNLP 2021

Title	Author	PDF_Link	Code_URL
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation	Juhwan Choi, Yeonghwa Kim, Seunguk Yu, JungMin Yun, YoungBin Kim	N/A	N/A
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation	Juhwan Choi, JungMin Yun, Kyohoon Jin, YoungBin Kim	N/A	N/A
FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document	Joonho Yang, Seunghyun Yoon, ByeongJeong Kim, Hwanhee Lee	N/A	N/A
Prompts have evil twins	Rimon Melamed, Lucas Hurley McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, Enric Boix-Adserà	N/A	N/A
Table Question Answering for Low-resourced Indic Languages	Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke	N/A	N/A
ImageInWords: Unlocking Hyper-Detailed Image Descriptions	Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Michael Baldridge, Radu Soricut	N/A	N/A
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay	Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang	N/A	N/A
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection	Xiangyu Zhang, Hexin Liu, Kaishuai Xu, Qiquan Zhang, Daijiao Liu, Beena Ahmed, Julien Epps	N/A	N/A
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model	Xiangyu Zhang, Daijiao Liu, Hexin Liu, Qiquan Zhang, Hanyu Meng, Leibny Paola Garcia Perera, EngSiong Chng, Lina Yao	N/A	N/A
Hateful Word in Context Classification	Sanne Hoeken, Sina Zarrieß, Özge Alacam	N/A	N/A
Eyes Don’t Lie: Subjective Hate Annotation and Detection with Gaze	Özge Alacam, Sanne Hoeken, Sina Zarrieß	N/A	N/A
NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning	Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle	N/A	N/A
Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models	Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka	N/A	N/A
A Usage-centric Take on Intent Understanding in E-Commerce	Wendi Zhou, Tianyi Li, Pavlos Vougiouklis, Mark Steedman, Jeff Z. Pan	N/A	N/A
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs	Oded Ovadia, Menachem Brief, Moshik Mishaeli, Oren Elisha	N/A	N/A
Systematic Biases in LLM Simulations of Debates	Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel Goldstein	N/A	N/A
Studying and Mitigating Biases in Sign Language Understanding Models	Katherine Atwell, Danielle Bragg, Malihe Alikhani	N/A	N/A
Uncertainty in Language Models: Assessment through Rank-Calibration	Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban	N/A	N/A
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning	Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing	Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty	N/A	N/A
Scaling Properties of Speech Language Models	Santiago Cuervo, Ricard Marxer	N/A	N/A
“We Demand Justice!”: Towards Social Context Grounding of Political Texts	Rajkumar Pujari, Chengfei Wu, Dan Goldwasser	N/A	N/A
An Experimental Analysis on Evaluating Patent Citations	Rabindra Nath Nandi, Suman Maity, Brian Uzzi, Sourav Medya	N/A	N/A
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?	Dawei Zhu, Pinzhen Chen, Miaoran Zhang, Barry Haddow, Xiaoyu Shen, Dietrich Klakow	N/A	N/A
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing	Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis	N/A	N/A
Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning	Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, zujie wen, Wenqiang Lei, Tat-Seng Chua	N/A	N/A
Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation	Saiful Islam Salim, Rubin Yuchan Yang, Alexander Cooper, Suryashree Ray, Saumya Debray, Sazzadur Rahaman	N/A	N/A
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation	Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, shimin tao, Xiaofeng Zhao, Mahongxia, Zhang Li, Boxing Chen, Hao Yang, Bei Li, Tong Xiao, JingBo Zhu	N/A	N/A
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models	Abhilasha Sancheti, Haozhe An, Rachel Rudinger	N/A	N/A
EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models	Maureen de Seyssel, Antony D’Avirro, Adina Williams, Emmanuel Dupoux	N/A	N/A
On Fake News Detection with LLM Enhanced Semantics Mining	Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu, Hao Fan	N/A	N/A
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices	Branislav Pecher, Ivan Srba, Maria Bielikova	N/A	N/A
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection	Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan	N/A	N/A
A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet Classifiers	Valentin Barriere, Sebastian Cifuentes	N/A	N/A
Mitigating the Alignment Tax of RLHF	Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang	N/A	N/A
Evaluating Readability and Faithfulness of Concept-based Explanations	Meng Li, Haoran Jin, Ruixuan HUANG, Zhihao Xu, Defu Lian, Zijia Lin, Di ZHANG, Xiting Wang	N/A	N/A
Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems	Zhengyuan Liu, Stella Xin Yin, Geyu Lin, Nancy F. Chen	N/A	N/A
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making	Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, Bowen Zhou	N/A	N/A
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds	Min-Hsuan Yeh, Ruyuan Wan, Ting-Hao Kenneth Huang	N/A	N/A
Tokenization Is More Than Compression	Craig W Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan, Yuval Pinter, Chris Tanner	N/A	N/A
FLIRT: Feedback Loop In-context Red Teaming	Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta	N/A	N/A
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections	Lingjun Zhao, Khanh Xuan Nguyen, Hal Daumé III	N/A	N/A
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks	Haoyuan WU, Haisheng Zheng, Zhuolun He, Bei Yu	N/A	N/A
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation	Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng	N/A	N/A
Improved Learned Sparse Retrieval with Entity Vocabulary	Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates	N/A	N/A
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models	Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Yu Wu	N/A	N/A
LongEmbed: Extending Embedding Models for Long Context Retrieval	Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li	N/A	N/A
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences	Xiangyang Liu, Junliang He, Xipeng Qiu	N/A	N/A
Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue	Xianlong Luo, Yihao Wang, Meng Yang	N/A	N/A
Integrating Plutchik’s Theory with Mixture of Experts for Enhancing Emotion Classification	Dongjun LIM, Yun-Gyung Cheong	N/A	N/A
In-context Contrastive Learning for Event Causality Identification	梁超, Wei Xiang, Bang Wang	N/A	N/A
What’s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs	Anna Wegmann, Tijs A. van den Broek, Dong Nguyen	N/A	N/A
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs	Kanishka Misra, Kyle Mahowald	N/A	N/A
Large Language Models for Data Annotation: A Survey	Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, huan liu	N/A	N/A
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models	Hongyuan Lu, HAORAN YANG, Haoyang Huang, Dongdong Zhang, Wai Lam, Furu Wei	N/A	N/A
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning	Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang	N/A	N/A
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning	Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao	N/A	N/A
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering	Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, chen luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao	N/A	N/A
HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs	Jocelyn J Shen, Joel Mire, Hae Won Park, Cynthia Breazeal, Maarten Sap	N/A	N/A
Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence	Junru Lu, Jiazheng Li, Siyu An, Meng Zhao, Yulan He, di yin, Xing Sun	N/A	N/A
Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval	Tianyi Hu, Maria Maistro, Daniel Hershcovich	N/A	N/A
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models	Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao	N/A	N/A
A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading	Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He	N/A	N/A
A Survey on In-context Learning	Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Lei Li, Zhifang Sui	N/A	N/A
DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing	Hangdi Xing, Changxu Cheng, Feiyu Gao, Zirui Shao, Zhi Yu, Jiajun Bu, Qi Zheng, Cong Yao	N/A	N/A
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation	Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing	N/A	N/A
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models	Shangyu Xing, Fei Zhao, Zhen Wu, Tuo An, Weihao Chen, Chunhui Li, Jianbing Zhang, Xinyu Dai	N/A	N/A
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization	Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee	N/A	N/A
LLMs Are Zero-Shot Context-Aware Simultaneous Translators	Roman Koshkin, Katsuhito Sudoh, Satoshi Nakamura	N/A	N/A
AgentReview: Exploring Peer Review Dynamics with LLM Agents	Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang	N/A	N/A
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval	Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou	N/A	N/A
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments	Han Zhou, Xingchen Wan, Yinhong Liu, Nigel Collier, Ivan Vulić, Anna Korhonen	N/A	N/A
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation	Chenlong Deng, Kelong Mao, Zhicheng Dou	N/A	N/A
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process	Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie, Yong Jiang	N/A	N/A
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation	Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander T Toshev	N/A	N/A
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing	Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng	N/A	N/A
Mitigating Language Bias of LMMs in Social Intelligence Understanding with Virtual Counterfactual Calibration	Peng Chen, Xiao-Yu Guo, Yuan-Fang Li, Xiaowang Zhang, Zhiyong Feng	N/A	N/A
Model Balancing Helps Low-data Training and Fine-tuning	Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang	N/A	N/A
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment	Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami	N/A	N/A
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment	Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu	N/A	N/A
A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning	Zhongwu Chen, Long Bai, Zixuan Li, Zhen Huang, Xiaolong Jin, Yong Dou	N/A	N/A
Towards Tool Use Alignment of Large Language Models	Zhi-Yuan Chen, Shiqi Shen, Guangyao Shen, Gong Zhi, Xu Chen, Yankai Lin	N/A	N/A
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models	Ranchi Zhao, Zhen Leng Thai, Yifan Zhang, Shengding Hu, Jie Zhou, Yunqi Ba, Jie Cai, Zhiyuan Liu, Maosong Sun	N/A	N/A
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps	Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass	N/A	N/A
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment	Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun	N/A	N/A
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation	Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin	N/A	N/A
Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network	Haoran Li, Qiang Gao, Hongmei Wu, Li Huang	N/A	N/A
Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors	Wenjian Ding, YAO ZHANG, Jun Wang, Adam Jatowt, Zhenglu Yang	N/A	N/A
UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation	Xiangyu Zhao, Yuehan Zhang, zhangwenlong, Xiao-Ming Wu	N/A	N/A
Tracking the perspectives of interacting language models	Hayden Helm, Brandon Duderstadt, Youngser Park, Carey Priebe	N/A	N/A
MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering	Zhengxuan Zhang, Yin WU, Yuyu Luo, Nan Tang	N/A	N/A
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?	Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui	N/A	N/A
Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement	Weimin Xiong, Yifan Song, Xiutian Zhao, Wenhao Wu, Xun Wang, Ke Wang, Cheng LI, Wei Peng, Sujian Li	N/A	N/A
Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation	Joseph Marvin Imperial, Gail Forey, Harish Tayyar Madabushi	N/A	N/A
Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective	Zhihao Zhang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou	N/A	N/A
“Glue pizza and eat rocks” - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models	Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, huan liu	N/A	N/A
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement	Yuxuan Wang, Xiaoyuan Liu	N/A	N/A
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation	Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao	N/A	N/A
MatchTime: Towards Automatic Soccer Game Commentary Generation	Jiayuan Rao, Haoning Wu, Chang Liu, Yanfeng Wang, Weidi Xie	N/A	N/A
Rethinking Token Reduction for State Space Models	Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang	N/A	N/A
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering	Chang Zong, Yuchen Yan, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang	N/A	N/A
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic	Yuyan Zhou, Liang Song, Bingning Wang, weipeng chen	N/A	N/A
Event Causality Identification with Synthetic Control	Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson	N/A	N/A
Retrieved Sequence Augmentation for Protein Representation Learning	Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Young Lu, Qi Liu, Sheng Wang, Lingpeng Kong	N/A	N/A
HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding	Fan Yuan, Chi Qin, Xiaogang Xu, Piji Li	N/A	N/A
TopViewRS: Vision-Language Models as Top-View Spatial Reasoners	Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulić	N/A	N/A
DA$^3$: A Distribution-Aware Adversarial Attack against Language Models	Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu	N/A	N/A
Evaluating Psychological Safety of Large Language Models	Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing	N/A	N/A
An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification	Zhuowei Chen, Lianxi Wang, Yuben Wu, Xinfeng Liao, Yujia Tian, Junyang Zhong	N/A	N/A
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering	Dongze Hao, Qunbo Wang, Longteng Guo, Jie Jiang, Jing Liu	N/A	N/A
PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation	Libo Zhao, Jing Li, Ziqian Zeng	N/A	N/A
TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging	Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang	N/A	N/A
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese	Caiqi Zhang, Zhijiang Guo, Andreas Vlachos	N/A	N/A
Enhancing Advanced Visual Reasoning Ability of Large Language Models	Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, Weidong Cai	N/A	N/A
CMD: a framework for Context-aware Model self-Detoxification	Zecheng Tang, Keyan Zhou, Juntao Li, Yuyang Ding, Pinzheng Wang, Yan Bowen, Renjie Hua, Min Zhang	N/A	N/A
Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection	Xiaomeng Hu, Yiming Zhang, Ru Peng, Haozhe Zhang, Chenwei Wu, Gang Chen, Junbo Zhao	N/A	N/A
TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control	Yu Zhang, Ziyue Jiang, Ruiqi Li, Changhao Pan, Jinzheng He, Rongjie Huang, Chuxin Wang, Zhou Zhao	N/A	N/A
Be Helpful but Don’t Talk too Much - Enhancing Helpfulness in Conversations through Relevance in Multi-Turn Emotional Support	LI Junlin, Bo Peng, Yu-Yin Hsu, Chu-Ren Huang	N/A	N/A
Aligning Language Models to Explicitly Handle Ambiguity	Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim	N/A	N/A
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation	Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li	N/A	N/A
GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models	Xuanchang Zhang, Zhuosheng Zhang, hai zhao	N/A	N/A
Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information	Runze Xia, Congchi Yin, Piji Li	N/A	N/A
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models	Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang	N/A	N/A
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models	Yongjin Yang, Jongwoo Ko, Se-Young Yun	N/A	N/A
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning	Mingqian He, Yongliang Shen, Wenqi Zhang, Zeqi Tan, Weiming Lu	N/A	N/A
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference	Yu Lin, Qizhi Zhang, Quanwei Cai, Jue Hong, Wu Ye, Huiqi Liu, Bing Duan	N/A	N/A
MantisScore: A Reliable Fine-grained Metric for Video Generation	Xuan He, Dongfu Jiang, Ge Zhang, Max Ku, Achint Soni, Sherman Siu, Haonan Chen, Abhranil Chandra, Ziyan Jiang, Aaran Arulraj, Kai Wang, Quy Duc Do, Yuansheng Ni, Bohan Lyu, Yaswanth Narsupalli, Rongqi Fan, Zhiheng Lyu, Bill Yuchen Lin, Wenhu Chen	N/A	N/A
A ∧ B ⇔ B ∧ A: Evaluating and Improving Logical Reasoning Ability of Large Language Models	Yuxuan WAN, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael Lyu	N/A	N/A
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training	Xiaoyang Yi, Yuru Bao, Jian Zhang, Yifang Qin, Faxin Lin	N/A	N/A
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning	Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu, Ya-Qin Zhang	N/A	N/A
I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL Generation	Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen	N/A	N/A
Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm	Michael Wiegand, Josef Ruppenhofer	N/A	N/A
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting	Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong, Kimin Lee, Sung-Ju Lee	N/A	N/A
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization	Seungwoo Son, Wonpyo Park, Woohyun Han, Kyuyeun Kim, Jaeho Lee	N/A	N/A
CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search	Fengran Mo, Abbas Ghaddar, Kelong Mao, Mehdi Rezagholizadeh, Boxing Chen, Qun Liu, Jian-Yun Nie	N/A	N/A
Towards Low-Resource Harmful Meme Detection with LMM Agents	Jianzhao Huang, Hongzhan Lin, ZiyanLiu, Ziyang Luo, Guang Chen, Jing Ma	N/A	N/A
VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values	Zhe Hu, Yixiao Ren, Jing Li, Yu Yin	N/A	N/A
Direct Multi-Turn Preference Optimization for Language Agents	Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng	N/A	N/A
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models	Leonardo Ranaldi, Andre Freitas	N/A	N/A
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search	Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren	N/A	N/A
AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation	Wenhao Huang, Zhouhong Gu, Chenghao Peng, Jiaqing Liang, Zhixu Li, Yanghua Xiao, liqian wen, Zulong Chen	N/A	N/A
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space	Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf	N/A	N/A
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding	Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu	N/A	N/A
Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!	Jiwan Chung, Seungwon Lim, Jaehyun Jeon, Seungbeen Lee, Youngjae Yu	N/A	N/A
Reusing Transferable Weight Increments for Low-resource Style Generation	Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar Zaiane	N/A	N/A
Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course	Cheng-Han Chiang, Wei-Chih Chen, Chun-Yi Kuan, Chienchou Yang, Hung-yi Lee	N/A	N/A
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?	Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler	N/A	N/A
Instruction Pre-Training: Language Models are Supervised Multitask Learners	Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei	N/A	N/A
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models	Renzhi Wang, Piji Li	N/A	N/A
Collaborative Performance Prediction for Large Language Models	Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma	N/A	N/A
Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese	Yuqi Chen, Sixuan Li, Ying Li, Mohammad Atari	N/A	N/A
Knowledge Verification to Nip Hallucination in the Bud	Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi	N/A	N/A
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios	Timo Pierre Schrader, Lukas Lange, Simon Razniewski, Annemarie Friedrich	N/A	N/A
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification	Gregor Geigle, Radu Timofte, Goran Glavaš	N/A	N/A
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models	Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao	N/A	N/A
To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models	Bastien Liétard, Pascal Denis, Mikaela Keller	N/A	N/A
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings	Hao Wang, Hao Li, Minlie Huang, Lei Sha	N/A	N/A
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making	Xiutian Zhao, Ke Wang, Wei Peng	N/A	N/A
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?	Gregor Geigle, Radu Timofte, Goran Glavaš	N/A	N/A
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment	zhenyu liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min zhang	N/A	N/A
MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning	Yufei Ma, Zihan Liang, Huangyu Dai, Ben Chen, Dehong Gao, Zhuoran Ran, ZihanWang, Linbo Jin, Wen Jiang, Guannan Zhang, Xiaoyan Cai, Libin Yang	N/A	N/A
Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification	Pinyi Zhang, Jingyang Chen, Junchen Shen, Zijie Zhai, Ping Li, Jie Zhang, Kai Zhang	N/A	N/A
PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study	Yuqing Zhang, Baoyi He, Yihan Chen, Hangqi Li, Han Yue, Shengyu Zhang, Huaiyong Dou, Junchi Yan, Zemin Liu, Yongquan Zhang, Fei Wu	N/A	N/A
Alignment-Enhanced Decoding: Defending via Token-Level Adaptive Refining of Probability Distributions	Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su	N/A	N/A
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction	Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu	N/A	N/A
Evaluating Large Language Models via Linguistic Profiling	Alessio Miaschi, Felice Dell’Orletta, Giulia Venturi	N/A	N/A
With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models	Tyler Loakman, YUCHENG LI, Chenghua Lin	N/A	N/A
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases	Jiajie Zhang, Shulin Cao, Linmei Hu, Ling Feng, Lei Hou, Juanzi Li	N/A	N/A
Understanding Higher-Order Correlations Among Semantic Components in Embeddings	Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira	N/A	N/A
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection	Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Wei Liu, Xian Wu, Shaorong Xie, Yefeng Zheng	N/A	N/A
Evaluating D-MERIT of Partial-annotation on Information Retrieval	Royi Rassin, Yaron Fairstein, Oren Kalinsky, Guy Kushilevitz, Nachshon Cohen, Alexander Libov, Yoav Goldberg	N/A	N/A
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving	XIN QUAN, Marco Valentino, Louise A. Dennis, Andre Freitas	N/A	N/A
Calibrating the Confidence of Large Language Models by Eliciting Fidelity	Mozhi Zhang, Mianqiu Huang, Rundong Shi, Linsen Guo, Chong Peng, Peng Yan, Yaqian Zhou, Xipeng Qiu	N/A	N/A
Exploring Reward Model Strength’s Impact on Language Models	Yanjun Chen, Dawei Zhu, Yirong Sun, Xinghao Chen, Wei Zhang, Xiaoyu Shen	N/A	N/A
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics	Adrian Cosma, Stefan Ruseti, Mihai Dascalu, Cornelia Caragea	N/A	N/A
Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection	Gaetan Lopez Latouche, Marc-André Carbonneau, Benjamin Swanson	N/A	N/A
CUTE: Measuring LLMs’ Understanding of Their Tokens	Lukas Edman, Helmut Schmid, Alexander Fraser	N/A	N/A
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation	Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min zhang	N/A	N/A
On The Role of Context in Reading Time Prediction	Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Wilcox	N/A	N/A
BC-Prover: Backward Chaining Prover for Formal Theorem Proving	Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin	N/A	N/A
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP	Marius Mosbach, Vagrant Gautam, Tomás Vergara Browne, Dietrich Klakow, Mor Geva	N/A	N/A
Dual Modalities of Text: Visual and Textual Generative Pre-Training	Yekun Chai, Qingyi Liu, Jingwu Xiao, Shuohuan Wang, Yu Sun, Hua Wu	N/A	N/A
On Training Data Influence of GPT Models	Qingyi Liu, Yekun Chai, Shuohuan Wang, Yu Sun, Qiwei Peng, Hua Wu	N/A	N/A
Understanding “Democratization” in NLP and ML Research	Arjun Subramonian, Vagrant Gautam, Dietrich Klakow, Zeerak Talat	N/A	N/A
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models	Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto	N/A	N/A
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages	Seonjeong Hwang, Yunsu Kim, Gary Lee	N/A	N/A
ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws	Ruihang Li, Yixuan Wei, Miaosen Zhang, Nenghai Yu, Han Hu, Houwen Peng	N/A	N/A
Word Alignment as Preference for Machine Translation	Qiyu Wu, Masaaki Nagata, Zhongtao Miao, Yoshimasa Tsuruoka	N/A	N/A
Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence	Yaxin FAN, PEIFENG LI, Qiaoming Zhu	N/A	N/A
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models	Jinghan He, Haiyun Guo, Kuan Zhu, Zihan Zhao, Ming Tang, Jinqiao Wang	N/A	N/A
Neuron-Level Knowledge Attribution in Large Language Models	ZEPING YU, Sophia Ananiadou	N/A	N/A
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning	ZEPING YU, Sophia Ananiadou	N/A	N/A
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis	ZEPING YU, Sophia Ananiadou	N/A	N/A
Pixology: Probing the Linguistic and Visual Knowledge of Pixel-based Language Models	Kushal Tatariya, Vladimir Araujo, Thomas Bauwens, Miryam de Lhoneux	N/A	N/A
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory	Wei Fan, Haoran Li, Zheye Deng, Weiqi Wang, Yangqiu Song	N/A	N/A
Noise, Novels, Numbers. A Framework for Detecting and Categorizing Noise in Danish and Norwegian Literature	ALI ALLAITH, Daniel Hershcovich, Jens Bjerring-Hansen, Jakob Ingemann Parby, Alexander Conroy, Timothy R Tangherlini	N/A	N/A
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models	Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang, Jie Ren, Torsten Hoefler, Dan Alistarh	N/A	N/A
Fine-Grained Prediction of Reading Comprehension from Eye Movements	Omer Shubi, Yoav Meiri, Cfir Avraham Hadar, Yevgeni Berzak	N/A	N/A
Efficient Retriever for Multi-Hop Retrieval Question Answerin	Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang	N/A	N/A
Unsupervised Human Preference Learning	Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai, Dilek Hakkani Tur	N/A	N/A
Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering	Helena Bonaldi, Greta Damo, Nicolás Benjamín Ocampo, Elena Cabrio, Serena Villata, Marco Guerini	N/A	N/A
Leading Whitespaces of Language Models’ Subword Vocabulary Poses a Confound for Calculating Word Probabilities	Byung-Doh Oh, William Schuler	N/A	N/A
LLM4Decompile: Decompiling Binary Code with Large Language Models	Hanzhuo Tan, Qi Luo, Jing Li, Yuqun Zhang	N/A	N/A
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning	Jihao Gu, Zelin Wang, Yibo Zhang, Ziji Zhang, Ping Gong	N/A	N/A
CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering	Yike Wu, Yi Huang, Nan Hu, YUNCHENG HUA, Guilin Qi, Jiaoyan Chen, Jeff Z. Pan	N/A	N/A
MTLS: Making Texts into Linguistic Symbols	Wenlong Fei, Xiaohua Wang, Min Hu, Qingyu Zhang, Hongbo Li	N/A	N/A
D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection	Yifan Chen, Kuntao Li, Weixing Mai, Qiaofeng Wu, Yun Xue, Fenghuan Li	N/A	N/A
A Generic Method for Fine-grained Category Discovery in Natural Language Texts	Chang Tian, Matthew B. Blaschko, Wenpeng Yin, Mingzhe Xing, Yinliang Yue, Marie-Francine Moens	N/A	N/A
Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method	Yang Trista Cao, Lovely-Frances Domingo, Sarah Gilbert, Michelle L. Mazurek, Katherine Shilton, Hal Daumé III	N/A	N/A
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models	Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie	N/A	N/A
Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison	Qian Yang, Weixiang Yan, Aishwarya Agrawal	N/A	N/A
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism	Lang Cao	N/A	N/A
VGBench: A Comprehensive Benchmark of Vector Graphics Understanding and Generation for Large Language Models	Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee	N/A	N/A
What do large language models need for machine translation evaluation?	Shenbin Qian, Archchana Sindhujan, Minnie Kabra, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe, Fred Blain	N/A	N/A
Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale	Flavio Di Palo, Prateek Singhi, Bilal H Fadlallah	N/A	N/A
External Knowledge-Driven Argument Mining: Leveraging Attention-Enhanced Multi-Network Models	Debela Gemechu, Chris Reed	N/A	N/A
C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits	Maaz Bin Musa, Rishab Nithyanand, Padmini Srinivasan, Mihailis E. Diamantis, Steven M. Winston, Garrison Allen, Jacob Schiller, Kevin Moore, Sean Quick, Johnathan Melvin	N/A	N/A
MPT: Multimodal Prompt Tuning for Zero-shot Instruction Learning	Taowen Wang, Yiyang Liu, James Chenhao Liang, junhan zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu	N/A	N/A
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification	Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang	N/A	N/A
Incubating Text Classifiers Following User Instruction with Nothing but LLM	Letian Peng, Zilong Wang, Jingbo Shang	N/A	N/A
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL	Ruilin Luo, Liyuan Wang, Binghuai Lin, Zicheng Lin, Yujiu Yang	N/A	N/A
Conditional and Modal Reasoning in Large Language Models	Wesley H. Holliday, Matthew Mandelkern, Cedegao E. Zhang	N/A	N/A
Advancing Large Language Model Attribution through Self-Improving	Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin	N/A	N/A
AlignCap: Aligning Speech Emotion Captioning to Human Preferences	Ziqi Liang, Haoxiang Shi, Hanhui Chen	N/A	N/A
Interpretability-based Tailored Knowledge Editing in Transformers	Yihuai Hong, Aldo Lipani	N/A	N/A
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling	Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan	N/A	N/A
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting	Chen Cai, Zheng Wang, Jianjun Gao, Wenyang Liu, Ye Lu, Runzhong Zhang, Kim-Hui Yap	N/A	N/A
Dissecting Fine-Tuning Unlearning in Large Language Models	Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang	N/A	N/A
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models	Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, zhiheng huang	N/A	N/A
Where is the signal in tokenization space?	Renato Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck	N/A	N/A
Private Language Models via Truncated Laplacian Mechanism	Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang	N/A	N/A
Estimating Knowledge in Large Language Models Without Generating a Single Token	Daniela Gottesman, Mor Geva	N/A	N/A
Consistent Autoformalization for Constructing Mathematical Libraries	Lan Zhang, XIN QUAN, Andre Freitas	N/A	N/A
Contextual and Parametric Knowledge: More Context, More Focus	Yufei Tao, Adam Hiatt, Erik Haake, Antonie J. Jetter, Ameeta Agrawal	N/A	N/A
Semantic Training Signals Promote Hierarchical Syntactic Generalization in Transformers	Aditya Yedetore, Najoung Kim	N/A	N/A
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages	Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Ben Bergen	N/A	N/A
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use	Jiajun Xi, Yinong He, Jianing Yang, Yinpei Dai, Joyce Chai	N/A	N/A
MiTTenS: A Dataset for Evaluating Gender Mistranslation	Kevin Robinson, Sneha Kudugunta, Romina Stella, Sunipa Dev, Jasmijn Bastings	N/A	N/A
Teaching LLMs to Abstain across Languages via Multilingual Feedback	Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov	N/A	N/A
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration	Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov	N/A	N/A
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements	Jillian Fisher, Skyler Hallinan, Ximing Lu, Mitchell L Gordon, Zaid Harchaoui, Yejin Choi	N/A	N/A
I Could’ve Asked That: Reformulating Unanswerable Questions	Wenting Zhao, Ge Gao, Claire Cardie, Alexander M Rush	N/A	N/A
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions	Robert Morabito, Sangmitra Madhusudan, Tyler McDonald, Ali Emami	N/A	N/A
Hidden Persuaders: How LLM Political Bias Could Sway Our Elections	Yujin Potter, Shiyang Lai, Junsol Kim, James Evans, Dawn Song	N/A	N/A
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning	Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu	N/A	N/A
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives	Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu	N/A	N/A
An Analysis of Multilingual FActScore	Vu Trong Kim, Michael Krumdick, Varshini Reddy, Franck Dernoncourt, Viet Dac Lai	N/A	N/A
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models	Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo	N/A	N/A
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering	Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli	N/A	N/A
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval	Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon	N/A	N/A
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects	Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, Yulia Tsvetkov	N/A	N/A
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback	Ju-Seung Byun, Jiyun Chun, Jihyung Kil, Andrew Perrault	N/A	N/A
Order of Magnitude Speedups for LLM Membership Inference	Rongting Zhang, Martin Andres Bertran, Aaron Roth	N/A	N/A
VIMI: Grounding Video Generation through Multi-modal Instruction	Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chieh Wang, Ivan Skorokhodov, Graham Neubig, Sergey Tulyakov	N/A	N/A
F$^2$RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation	Haiyang Wang, Yuchen Pan, Xin Song, Xuechen Zhao, Minghao Hu, Bin Zhou	N/A	N/A
Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning	Chang Yang, Peng Zhang, Hui Gao, Jing Zhang	N/A	N/A
Visual Prompting in LLMs for Enhancing Emotion Recognition	Qixuan Zhang, Zhifeng Wang, Dylan Zhang, Yang Liu, Zhenyue Qin, Wenjia Niu, Sabrina Caldwell, Tom Gedeon	N/A	N/A
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding	Pengcheng Li, Xulong Zhang, Jing Xiao, Jianzong Wang	N/A	N/A
Leveraging Conflicts in Social Media Posts: Unintended Offense Dataset	Che Wei Tsai, Yen-Hao Huang, Tsu-keng Liao, Didier Fernando Salazar Estrada, Retnani Latifah, Yi-Shin Chen	N/A	N/A
Outcome-Constrained Large Language Models for Countering Hate Speech	Lingzi Hong, Pengcheng Luo, Eduardo Blanco, Xiaoying Song	N/A	N/A
Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing	Changbing Yang, Garrett Nicolai, Miikka Silfverberg	N/A	N/A
Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks	Ao Wang, Xinghao Yang, Chen Li, Bao-di Liu, Weifeng Liu	N/A	N/A
Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping	Yangyang Zhao, Ben Niu, Mehdi Dastani, Shihan Wang	N/A	N/A
PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling	Huachuan Qiu, Lizhi Ma, Zhenzhong Lan	N/A	N/A
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering	Jiacong Wang, Bohong Wu, Haiyong Jiang, Haoyuan Guo, Xin Xiao, zhou Xun, Jun Xiao	N/A	N/A
DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering	Jing Jin, Houfeng Wang, Hao Zhang, Xiaoguang Li, Zhijiang Guo	N/A	N/A
How Do Humans Write Code? Large Models Do It the Same Way Too	Long Li, Xuzheng He, Haozhe Wang, Linlin Wang, Liang He	N/A	N/A
Retrospex: Language Agent Meets Offline Reinforcement Learning Critic	Yufei Xiang, Yiqun Shen, Yeqin Zhang, Nguyen Cam-Tu	N/A	N/A
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models	Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, JingBo Zhu	N/A	N/A
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation	Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang, Enhong Chen	N/A	N/A
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation	Renhao Li, Minghuan Tan, Derek F. Wong, Min Yang	N/A	N/A
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners	Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie J Su, Camillo Jose Taylor, Dan Roth	N/A	N/A
Bayesian Calibration of Win Rate Estimation with LLM Evaluators	Yicheng Gao, Gonghan Xu, Zhe Wang, Arman Cohan	N/A	N/A
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning	Shuo Yin, Weihao You, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai	N/A	N/A
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients	Weijun Li, Qiongkai Xu, Mark Dras	N/A	N/A
RWKV-CLIP: A Robust Vision-Language Representation Learner	Tiancheng Gu, Kaicheng Yang, Xiang An, Ziyong Feng, Dongnan Liu, Weidong Cai, Jiankang Deng	N/A	N/A
KidLM: Advancing Language Models for Children – Early Insights and Future Directions	Mir Tafseer Nayeem, Davood Rafiei	N/A	N/A
Using Language Models to Disambiguate Lexical Choices in Translation	Josh Barua, Sanjay Subramanian, Kayo Yin, Alane Suhr	N/A	N/A
How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?	Zhuoyan Li, Chen Liang, Jing Peng, Ming Yin	N/A	N/A
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records	Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob Drachmann Havtorn, Tuukka Ruotsalo	N/A	N/A
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs	Zheng Wang, Zhongyang Li, Jiang Zeren, Dandan Tu, Wei Shi	N/A	N/A
EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation	Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Ruhi Sarikaya, Kevin Small, Heng Ji	N/A	N/A
Predicting Nonnative Sentence Processing with L2LMs	Tatsuya Aoyama, Nathan Schneider	N/A	N/A
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis	Chuanqi Cheng, Jian Guan, Wei Wu, Rui Yan	N/A	N/A
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs	Shadi Iskander, Sofia Tolmach, Ori Shapira, Nachshon Cohen, Zohar Karnin	N/A	N/A
Cross-Domain Audio Deepfake Detection: Dataset and Analysis	Yuang Li, Min Zhang, Mengxin Ren, Xiaosong Qiao, Miaomiao Ma, Daimeng Wei, Hao Yang	N/A	N/A
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension	Ting Liu, Zunnan Xu, Zhiqiang Wang, Yue Hu, Liangtao Shi, Quanjun Yin	N/A	N/A
Investigating How Large Language Models Leverage Internal Knowledge to Perform Complex Reasoning	Miyoung Ko, Sue Hyun Park, Joonsuk Park, Minjoon Seo	N/A	N/A
Aligning Translation-Specific Understanding to General Understanding in Large Language Models	Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin	N/A	N/A
FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation	Mohamad Ballout, Anne Dedert, Nohayr Muhammad Abdelmoneim, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger	N/A	N/A
Concept-skill Transferability-based Data Selection for Large Vision-Language Models	Jaewoo Lee, Boyang Li, Sung Ju Hwang	N/A	N/A
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing	Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi LIU, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin	N/A	N/A
Academics Can Contribute to Domain-Specialized Language Models	Mark Dredze, Genta Indra Winata, Prabhanjan Kambadur, Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, David S Rosenberg, Sebastian Gehrmann	N/A	N/A
Beyond Reference: Evaluating High Quality Translations Better than Human References	Keonwoong Noh, Seokjin Oh, Woohwan Jung	N/A	N/A
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement	Pengwei Zhan, Zhen Xu, Qian Tan, Jie Song, Ru Xie	N/A	N/A
SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages	Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, Lester James Validad Miranda, Jennifer Santoso, Elyanah Aco, Akhdan Fadhilah, Jonibek Mansurov, Joseph Marvin Imperial, Onno P. Kampman, Joel Ruben Antony Moniz, Muhammad Ravi Shulthan Habibi, Frederikus Hudi, Jann Railey Montalan, Ryan Ignatius Hadiwijaya, Joanito Agili Lopo, William Nixon, Börje F. Karlsson, James Jaya, Ryandito Diandaru, Yuze GAO, Patrick Amadeus Irawan, Bin Wang, Jan Christian Blaise Cruz, Chenxi Whitehouse, Ivan Halim Parmonangan, Maria Khelli, Wenyu Zhang, Lucky Susanto, Reynard Adha Ryanda, Sonny Lazuardi Hermawan, Dan John Velasco, Muhammad Dehan Al Kautsar, Willy Fitra Hendria, Yasmin Moslem, Noah Flynn, Muhammad Farid Adilazuarda, Haochen Li, Johanes Lee, R. Damanhuri, Shuo Sun, Muhammad Reza Qorib, Amirbek Djanibekov, Wei Qi Leong, Quyet V. Do, Niklas Muennighoff, Tanrada Pansuwan, Ilham Firdausi Putra, Yan Xu, Tai Ngee Chia, Ayu Purwarianti, Sebastian Ruder, William Chandra Tjhi, Peerat Limkonchotiwat, Alham Fikri Aji, Sedrick Keh, Genta Indra Winata, Ruochen Zhang, Fajri Koto, Zheng Xin Yong, Samuel Cahyawijaya	N/A	N/A
Induct-Learn: Short Phrase Prompting with Instruction Induction	Po-Chun Chen, Sheng-Lun Wei, Hen-Hsen Huang, Hsin-Hsi Chen	N/A	N/A
Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning	Shi Mingcong, Chunjiang Zhu, Detian Zhang, Shiting Wen, Qing Li	N/A	N/A
LUQ: Long-text Uncertainty Quantification for LLMs	Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier	N/A	N/A
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method	Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng	N/A	N/A
Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars	Damien Sileo	N/A	N/A
Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach	Maxime Poli, Emmanuel Chemla, Emmanuel Dupoux	N/A	N/A
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model	Jia-Ying Zheng, Hainan Zhang, Lingxiang Wang, Wangjie Qiu, Hong-Wei Zheng, Zhi-Ming Zheng	N/A	N/A
Formality Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge	Jiahuan Li, Yiqing Cao, Shujian Huang, Jiajun Chen	N/A	N/A
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?	Yang Luo, Zangwei Zheng, Zirui Zhu, Yang You	N/A	N/A
How Far Can We Extract Diverse Perspectives from Large Language Models?	Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal, Dongyeop Kang	N/A	N/A
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning	Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Mohan Yerragorla, Sourangshu Bhattacharya, Avishek Anand	N/A	N/A
An LLM Feature-based Framework for Dialogue Constructiveness Assessment	Lexin Zhou, Youmna Farag, Andreas Vlachos	N/A	N/A
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System	Zhanpeng Chen, Zhihong Zhu, Wanshi Xu, Xianwei Zhuang, Yuexian Zou	N/A	N/A
Dialog2Flow: Pre-training Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction	Sergio Burdisso, Srikanth Madikeri, Petr Motlicek	N/A	N/A
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation	Raphael Tang, Crystina Zhang, Lixinyu Xu, Yao Lu, Wenyan Li, Pontus Stenetorp, Jimmy Lin, Ferhan Ture	N/A	N/A
Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024	Ilias Chalkidis	N/A	N/A
Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning	Mayi Xu, Yongqi Li, Ke Sun, Tieyun Qian	N/A	N/A
LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations	Shengda Fan, Yanting Wang, Shasha Mo, Jianwei Niu	N/A	N/A
Concept Space Alignment in Multilingual LLMs	Qiwei Peng, Anders Søgaard	N/A	N/A
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model	Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou	N/A	N/A
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian	Peng Liu, Lemei Zhang, Terje Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang	N/A	N/A
RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework	Yifan Wang, Vera Demberg	N/A	N/A
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models	Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang	N/A	N/A
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems	Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam .	N/A	N/A
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering	Yuhao Wang, Ruiyang Ren, Junyi Li, Xin Zhao, Jing Liu, Ji-Rong Wen	N/A	N/A
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA	Minzheng Wang, Longze Chen, ChengFu, Liaoshengyi, Xinghua Zhang, Bingliwu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li	N/A	N/A
On Mitigating Performance Disparities in Multilingual Speech Recognition	Monorama Swain, Anna Katrine van Zee, Anders Søgaard	N/A	N/A
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting	Stephen Meisenbacher, Florian Matthes	N/A	N/A
From Coarse to Fine: Impacts of Feature-Preserving and Feature-Compressing Connectors on Perception in Multimodal Models	Junyan Lin, Haoran Chen, Dawei Zhu, Xiaoyu Shen	N/A	N/A
What is ‘‘Typological Diversity’’ in NLP?	Esther Ploeger, Wessel Poelman, Miryam de Lhoneux, Johannes Bjerva	N/A	N/A
The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse	Xiaobo Guo, Neil Potnis, Melody Yu, Nabeel Gillani, Soroush Vosoughi	N/A	N/A
Consistent Bidirectional Language Modelling: Expressive Power and Representational Conciseness	Georgi Shopov, Stefan Gerdjikov	N/A	N/A
Benchmarking Vision Language Models for Cultural Understanding	Shravan Nayak, Kanishk Jain, Rabiul Awal, Siva Reddy, Sjoerd van Steenkiste, Lisa Anne Hendricks, Karolina Stanczak, Aishwarya Agrawal	N/A	N/A
Methods of Automatic Matrix Language Determination for Code-Switched Speech	Olga Iakovenko, Thomas Hain	N/A	N/A
Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts	Jaewook Lee, Yeajin Jang, Hongjin KIM, Woojin Lee, Harksoo Kim	N/A	N/A
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models	Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar	N/A	N/A
Teaching Small Language Models Reasoning through Counterfactual Distillation	FengTao, Yicheng Li, Li Chenglin, Hao Chen, Fei Yu, Yin Zhang	N/A	N/A
Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese	Meet Doshi, Raj Dabre, Pushpak Bhattacharyya	N/A	N/A
Quantifying the Gap Between Machine Translation and Native Language in Training for Multimodal, Multilingual Retrieval	Kyle Buettner, Adriana Kovashka	N/A	N/A
MTA4DPR: Multi-Teaching-Assistants Based Iterative Knowledge Distillation for Dense Passage Retrieval	Qixi Lu, Gongbo Tang	N/A	N/A
Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates	Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, Steffen Eger	N/A	N/A
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling	Yu Bai, Xiyuan Zou, Heyan Huang, Sanxing Chen, Marc-Antoine Rondeau, Yang Gao, Jackie CK Cheung	N/A	N/A
Story Embeddings — Narrative-Focused Representations of Fictional Stories	Hans Ole Hatzel, Chris Biemann	N/A	N/A
C-LLM: Learn to Check Chinese Spelling Errors Character by Character	Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou	N/A	N/A
PSC: Extending Context Window of Large Language Models via Phase Shift Calibration	Wenqiao Zhu, Chao Xu, Lulu Wang, Jun Wu	N/A	N/A
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection	Bin Lin, Yang Ye, Bin Zhu, Jiaxi Cui, Munan Ning, Peng Jin, Li Yuan	N/A	N/A
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales	Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao	N/A	N/A
Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing	Richard Diehl Martinez, Zebulon Goriely, Andrew Caines, Paula Buttery, Lisa Beinborn	N/A	N/A
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations	Yunze Xiao, Yujia Hu, Kenny Tsu Wei Choo, Roy Ka-Wei Lee	N/A	N/A
Boosting Scientific Concepts Understanding: Can Analogies from Teacher Models Empower Student Models?	Siyu Yuan, Cheng Jiayang, Lin Qiu, Deqing Yang	N/A	N/A
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation	Jirui Qi, Gabriele Sarti, Raquel Fernández, Arianna Bisazza	N/A	N/A
Do Large Language Models Know How Much They Know?	Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar	N/A	N/A
Investigating Mysteries of CoT-Augmented Distillation	Somin Wadhwa, Silvio Amir, Byron C Wallace	N/A	N/A
SciPrompt: Knowledge-Augmented Prompting for Fine-Grained Categorization of Scientific Topics	Zhiwen You, Kanyao Han, Haotian Zhu, Bertram Ludaescher, Jana Diesner	N/A	N/A
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP	Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi	N/A	N/A
Learning from Natural Language Explanations for Generalizable Entity Matching	Somin Wadhwa, ADIT KRISHNAN, Runhui Wang, Byron C Wallace, Luyang Kong	N/A	N/A
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation	Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Sricharan Kumar, Murat Kantarcioglu, Bradley A. Malin	N/A	N/A
On the Reliability of Psychological Scales on Large Language Models	Jen-tse Huang, Wenxuan Wang, Man Ho LAM, Eric John Li, Wenxiang Jiao, Michael Lyu	N/A	N/A
Contrastive Entity Coreference and Disambiguation for Historical Texts	Abhishek Arora, Emily Silcock, Melissa Dell, Leander Heldring	N/A	N/A
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models	Jeonghwan Kim, Heng Ji	N/A	N/A
Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts	Sumit Asthana, Hannah Rashkin, Elizabeth Clark, Fantine Huot, Mirella Lapata	N/A	N/A
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment	Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu	N/A	N/A
Focused Large Language Models are Stable Many-Shot Learners	Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li	N/A	N/A
Reconsidering Sentence-Level Sign Language Translation	Garrett Tanzer, Maximus Shengelia, Ken Harrenstien, David Uthus	N/A	N/A
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities	Sreyan Ghosh, Sonal Kumar, Ashish Seth, Chandra Kiran Reddy Evuru, Utkarsh Tyagi, S Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha	N/A	N/A
Verba volant, scripta volant? Don’t worry! There are computational solutions for protoword reconstruction	Liviu P Dinu, Ana Sabina Uban, Alina Maria Cristea, Ioan-Bogdan Iordache, Teodor-George Marchitan, Simona Georgescu, Laurentiu Zoicas	N/A	N/A
ChatGPT Doesn’t Trust LA Chargers Fans: Guardrail Sensitivity in Context	Victoria R Li, Yida Chen, Naomi Saphra	N/A	N/A
Personas as a Way to Model Truthfulness in Language Models	Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He	N/A	N/A
Satyrn: A Platform for Analytics Augmented Generation	Marko Sterbentz, Cameron Barrie, Shubham Shahi, Abhratanu Dutta, Donna Hooshmand, Harper Pack, Kristian J Hammond	N/A	N/A
EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning	Ashish Seth, Ramaneswaran S, S Sakshi, Sonal Kumar, Sreyan Ghosh, Dinesh Manocha	N/A	N/A
EPO: Hierarchical LLM Agents with Environment Preference Optimization	Qi Zhao, Haotian Fu, Chen Sun, George Konidaris	N/A	N/A
Detection and Measurement of Syntactic Templates in Generated Text	Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C Wallace	N/A	N/A
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models	Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, ChengXiang Zhai, Klara Nahrstedt, Zhiting Hu	N/A	N/A
Optimized Speculative Sampling for GPU Hardware Accelerators	Dominik Wagner, Seanie Lee, Ilja Baumann, Philipp Seeberger, Korbinian Riedhammer, Tobias Bocklet	N/A	N/A
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts	Zhaoxuan Tan, Zheyuan Liu, Meng Jiang	N/A	N/A
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning	Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang	N/A	N/A
Unifying Multimodal Retrieval via Document Screenshot Embedding	Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin	N/A	N/A
Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation	Shaomu Tan, Di Wu, Christof Monz	N/A	N/A
An Audit on the Perspectives and Challenges of Hallucinations in NLP	Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs, Mukund Srinath, Koustava Goswami, Sarah Rajtmajer, Shomir Wilson	N/A	N/A
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models	Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut	N/A	N/A
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models	Junjie Chu, Zeyang Sha, Michael Backes, Yang Zhang	N/A	N/A
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering	Armin Toroghi, Willis Guo, Mohammad Mahdi Abdollah Pour, Scott Sanner	N/A	N/A
Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution	Armin Toroghi, Willis Guo, Ali Pesaranghader, Scott Sanner	N/A	N/A
Understanding and Mitigating Language Confusion in LLMs	Kelly Marchisio, Wei-Yin Ko, Alexandre Berard, Théo Dehaze, Sebastian Ruder	N/A	N/A
Can Large Language Models Learn Independent Causal Mechanisms?	Gael Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie	N/A	N/A
MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models	Sarfaroz Yunusov, Hamza Sidat, Ali Emami	N/A	N/A
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context	Ziyi Liu, Abhishek Anand, Pei Zhou, Jen-tse Huang, Jieyu Zhao	N/A	N/A
Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia	Farhan Samir, Chan Young Park, Vered Shwartz, Anjalie Field, Yulia Tsvetkov	N/A	N/A
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models	Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, EunJeong Hwang, Vered Shwartz	N/A	N/A
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation	Karin De Langis, Ryan Koo, Dongyeop Kang	N/A	N/A
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model	Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu	N/A	N/A
Learning to Extract Structured Entities Using Language Models	Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra	N/A	N/A
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons	Adian Liusie, Vatsal Raina, Yassir Fathullah, Mark Gales	N/A	N/A
A Survey of AMR Applications	Shira Wein, Juri Opitz	N/A	N/A
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning	Yiwu Zhong, Zi-Yuan Hu, Michael Lyu, Liwei Wang	N/A	N/A
CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation	Shahla Farzana, Ivana Lucero, Vivian Villegas, Vera C Kaelin, Mary Khetani, Natalie Parde	N/A	N/A
Secured Weight Release for Large Language Models via Taylor Expansion	Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu	N/A	N/A
TimeR$^4$ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering	Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Li Zhang, Kehui Song	N/A	N/A
Knowledge-Centric Hallucination Detection	Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang	N/A	N/A
Revealing the Parallel Multilingual Learning within Large Language Models	Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, JingBo Zhu	N/A	N/A
Automatic Instruction Evolving for Large Language Models	Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen	N/A	N/A
RepEval: Effective Text Evaluation with LLM Representation	Shuqian Sheng, Yi Xu, Tianhang Zhang, Zanwei Shen, Luoyi Fu, Jiaxin Ding, Lei Zhou, Xiaoying Gan, Xinbing Wang, Chenghu Zhou	N/A	N/A
Generative Models for Automatic Medical Decision Rule Extraction from Text	Yuxin He, Buzhou Tang, Xiaoling Wang	N/A	N/A
Encoding and Controlling Global Semantics for Long-form Video Question Answering	Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu	N/A	N/A
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis	Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang	N/A	N/A
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs	Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun	N/A	N/A
Does Large Language Model Contain Task-Specific Neurons?	Ran Song, Shizhu He, Shuting Jiang, Yantuan Xian, Shengxiang Gao, Kang Liu, Zhengtao Yu	N/A	N/A
Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models	Philipp Mondorf, Barbara Plank	N/A	N/A
Advancing Test-Time Adaptation in Wild Acoustic Test Settings	Hongfu Liu, Hengguan Huang, Ye Wang	N/A	N/A
Learning to Retrieve Iteratively for In-Context Learning	Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme	N/A	N/A
Taxonomy-guided Semantic Indexing for Academic Paper Search	SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu	N/A	N/A
Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts	Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che	N/A	N/A
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models	Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh	N/A	N/A
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation	Zhiyu Cao, PEIFENG LI, Yaxin FAN, Qiaoming Zhu	N/A	N/A
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs	Yiyuan Li, Shichao Sun, Pengfei Liu	N/A	N/A
Aligning Large Language Models with Diverse Political Viewpoints	Dominik Stammbach, Philine Widmer, Eunjung Cho, Caglar Gulcehre, Elliott Ash	N/A	N/A
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations	Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III	N/A	N/A
Extending Context Window of Large Language Models from a Distributional Perspective	Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin	N/A	N/A
Leveraging pre-trained language models for linguistic analysis: A case of argument structure constructions	Hakyung Sung, Kristopher Kyle	N/A	N/A
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration	Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng	N/A	N/A
Position Engineering: Boosting Large Language Models through Positional Information Manipulation	Zhiyuan He, Huiqiang Jiang, Zilong Wang, Yuqing Yang, Luna K. Qiu, Lili Qiu	N/A	N/A
Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale	Junying Chen, Chi Gui, OuyangRuyi, Anningzhe Gao, Shunian Chen, Guiming Hardy Chen, Xidong Wang, Zhenyang Cai, Ke Ji, Xiang Wan, Benyou Wang	N/A	N/A
ADELIE: Aligning Large Language Models on Information Extraction	Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li	N/A	N/A
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons	Yifei Wang, Yuheng Chen, Wanting Wen, Yu Sheng, Linjing Li, Daniel Dajun Zeng	N/A	N/A
Lexically Grounded Subword Segmentation	Jindřich Libovický, Jindřich Helcl	N/A	N/A
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees	Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang	N/A	N/A
Do Text-to-Vis Benchmarks Test Real Use of Visualizations?	Hy Nguyen, Xuefei He, Andrew Reeson, Cecile Paris, Josiah Poon, Jonathan K. Kummerfeld	N/A	N/A
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs	Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu	N/A	N/A
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning	Jingyu Hu, Weiru Liu, Mengnan Du	N/A	N/A
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges	Nguyen Van Dinh, Thanh Chi Dang, Luan Thanh Nguyen, Kiet Van Nguyen	N/A	N/A
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment	Vyas Raina, Adian Liusie, Mark Gales	N/A	N/A
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal	Zhicong Lu, Li Jin, PeiguangLi, Yu Tian, Linhao Zhang, Sirui Wang, Guangluan Xu, Changyuan Tian, Xunliang Cai	N/A	N/A
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs	Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu	N/A	N/A
Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models	Vyas Raina, Rao Ma, Charles McGhee, Kate Knill, Mark Gales	N/A	N/A
GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation	Georgios Katsimpras, Georgios Paliouras	N/A	N/A
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs	Zichen Chen, Jianda Chen, Ambuj Singh, Misha Sra	N/A	N/A
Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning	Yuanpin Zhou, Huogen Wang	N/A	N/A
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information	Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng	N/A	N/A
UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models	Zhanyue Qin, Haochuan Wang, Deyuan Liu, Ziyang Song, Cunhang Fan, Zhao Lv, Jinlin Wu, Zhen Lei, Zhiying Tu, Dianhui Chu, Xiaoyan Yu, Dianbo Sui	N/A	N/A
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments	Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su	N/A	N/A
MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space	Yihong Tang, Bo Wang, Dongming Zhao, Jinxiaojia, Zhangjijun, Ruifang He, Yuexian Hou	N/A	N/A
KnowledgeSG: Privacy-Preserving Synthetic Text Generation With Knowledge Distillation From Server	WenHao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang	N/A	N/A
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination	Xuan Gong, Tianshi Ming, Xinpeng Wang, Zhihua Wei	N/A	N/A
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models	Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao	N/A	N/A
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale	Wenzhen Zheng, Wenbo Pan, Xu Xu, Libo Qin, Li Yue, Ming Zhou	N/A	N/A
An Empirical Study of Multilingual Reasoning Distillation for Question Answering	Patomporn Payoungkhamdee, Peerat Limkonchotiwat, Jinheon Baek, Potsawee Manakul, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong	N/A	N/A
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?	Gal Yona, Roee Aharoni, Mor Geva	N/A	N/A
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?	Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig	N/A	N/A
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning	Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee	N/A	N/A
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding	Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao JING, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Long Chen, Yangqiu Song	N/A	N/A
ECON: On the Detection and Resolution of Evidence Conflicts	Cheng Jiayang, Qianqian Zhuang, Chunkit Chan, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang	N/A	N/A
“Image, Tell me your story!” Predicting the original meta-context of visual misinformation	Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych	N/A	N/A
Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning	Zhili Shen, Pavlos Vougiouklis, Chenxin Diao, Kaustubh Vyas, Yuanyi Ji, Jeff Z. Pan	N/A	N/A
Mixture-of-Subspaces in Low-Rank Adaptation	Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong	N/A	N/A
A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data	Ishaan Watts, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram	N/A	N/A
LawBench: Benchmarking Legal Knowledge of Large Language Models	Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Alan Huang, Songyang Zhang, Kai Chen, Zhixin Yin, Zongwen Shen, Jidong Ge, Vincent Ng	N/A	N/A
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards	Furkan Şahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych	N/A	N/A
Efficient Vision-Language pre-training via domain-specific learning for human activities	Adrian Bulat, Yassine Ouali, Ricardo Guerrero, Brais Martinez, Georgios Tzimiropoulos	N/A	N/A
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training	Wenbo Li, Guohao Li, Zhibin Lan, Xue Xu, Wanru Zhuang, Jiachen Liu, Xinyan Xiao, Jinsong Su	N/A	N/A
Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works	Xinfeng Yuan, Siyu Yuan, Yuhan Cui, Tianhe Lin, Xintao Wang, Rui Xu, Jiangjie Chen, Deqing Yang	N/A	N/A
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners	Shimao Zhang, Changjiang Gao, Wenhao Zhu, Jiajun Chen, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang	N/A	N/A
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning	Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin	N/A	N/A
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models	Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li	N/A	N/A
mDPO: Conditional Preference Optimization for Multimodal Large Language Models	Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen	N/A	N/A
Data Advisor: Data Curation with Foresight for Safety Alignment of Large Language Models	Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan	N/A	N/A
Language-to-Code Translation with a Single Labeled Example	Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Benjamin Van Durme, Jason Eisner, Jacob Andreas	N/A	N/A
Attribute or Abstain: Large Language Models as Long Document Assistants	Jan Buchmann, Xiao Liu, Iryna Gurevych	N/A	N/A
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models	Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma	N/A	N/A
Retrieved In-Context Principles from Previous Mistakes	Hao Sun, Yong Jiang, Bo Wang, Yingyan Hou, Yan Zhang, Pengjun Xie, Fei Huang	N/A	N/A
EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control	Haozhe Chen, Run Chen, Julia Hirschberg	N/A	N/A
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models	Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang	N/A	N/A
Deterministic Weighted L* Algorithm	Clemente Pasti, Talu Karagöz, Franz Nowak, Anej Svete, Ryan Cotterell	N/A	N/A
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection	Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin	N/A	N/A
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification	Pritish Sahu, Karan Sikka, Ajay Divakaran	N/A	N/A
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes	Yusuke Hirota, Jerone Andrews, Dora Zhao, Orestis Papakyriakopoulos, Apostolos Modas, Yuta Nakashima, Alice Xiang	N/A	N/A
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?	Di Cao, Yong Liao, Xiuwei Shang	N/A	N/A
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel	Brendan King, Jeffrey Flanigan	N/A	N/A
Humans or LLMs as the Judge? A Study on Judgement Bias	Guiming Hardy Chen, Shunian Chen, Ziche Liu, Feng Jiang, Benyou Wang	N/A	N/A
WPO: Enhancing RLHF with Weighted Preference Optimization	Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu	N/A	N/A
Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias	Rongwu Xu, Zian Zhou, Tianwei Zhang, Zehan Qi, SU YAO, Ke Xu, Wei Xu, Han Qiu	N/A	N/A
MetaReflection: Learning Instructions for Language Agents using Past Reflections	Priyanshu Gupta, Shashank Kirtania, Ananya Singha, Sumit Gulwani, Arjun Radhakrishna, Gustavo Soares, Sherry Shi	N/A	N/A
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors	Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan	N/A	N/A
On Eliciting Syntax from Language Models via Hashing	Yiran Wang, Masao Utiyama	N/A	N/A
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios	Zetian Ouyang, Yishuai Qiu, Linlin Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He	N/A	N/A
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples	Heng Yang	N/A	N/A
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages	Pretam Ray, Jivnesh Sandhan, Amrith Krishna, Pawan Goyal	N/A	N/A
Perceptions of Linguistic Uncertainty by Language Models and Humans	Catarina G Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth	N/A	N/A
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM	Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung	N/A	N/A
Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding	Xiaoyu DONG, Yujie Feng, ZEXIN LU, Guangyuan SHI, Xiao-Ming Wu	N/A	N/A
Knowledge Conflicts for LLMs: A Survey	Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru WANG, Yue Zhang, Wei Xu	N/A	N/A
Generative AI in the Era of “Alternative Facts”	Saadia Gabriel, Liang Lyu, James Siderius, Marzyeh Ghassemi, Jacob Andreas, Asuman E. Ozdaglar	N/A	N/A
MEANT: Multimodal Encoder for Antecedent Information	Benjamin Irving, Annika Marie Schoene	N/A	N/A
A Thorough Examination of Decoding Methods in the Era of LLMs	Chufan Shi, HAORAN YANG, Deng Cai, Zhisong Zhang, Yifan Wang, Yujiu Yang, Wai Lam	N/A	N/A
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings	Revanth Gangi Reddy, Omar Attia, Yunyao Li, Heng Ji, Saloni Potdar	N/A	N/A
FIRST: Faster Improved Listwise Reranking with Single Token Decoding	Revanth Gangi Reddy, JaeHyeok Doo, Yifei Xu, Md Arafat Sultan, Deevya Swain, Avirup Sil, Heng Ji	N/A	N/A
Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights	Hongjin KIM, Jai-Eun Kim, Harksoo Kim	N/A	N/A
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods	Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Zhenqiang Gong, Bhuwan Dhingra	N/A	N/A
“Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models	Karina H Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut	N/A	N/A
Revisiting Who’s Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective	Yujian Liu, Yang Zhang, Tommi Jaakkola, Shiyu Chang	N/A	N/A
LIONs: An Empirically Optimized Approach to Align Language Models	Xiao Yu, Qingyang Wu, Yu Li, Zhou Yu	N/A	N/A
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing	Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada	N/A	N/A
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery	Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han	N/A	N/A
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents	Liyan Tang, Philippe Laban, Greg Durrett	N/A	N/A
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning	John Wu, David Wu, Jimeng Sun	N/A	N/A
MOSEL: Inference Serving Using Dynamic Modality Selection	Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J Yadwadkar, Aditya Akella	N/A	N/A
From RAG to Riches: Retrieval Interlaced with Sequence Generation	Palak Jain, Livio Baldini Soares, Tom Kwiatkowski	N/A	N/A
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition	Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee	N/A	N/A
Learning to Correct for QA Reasoning with Black-box LLMs	Jaehyung Kim, Dongyoung Kim, Yiming Yang	N/A	N/A
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?	Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant	N/A	N/A
PostMark: A Robust Blackbox Watermark for Large Language Models	Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Frederick Wieting, Mohit Iyyer	N/A	N/A
Assessing “Implicit” Retrieval Robustness of Large Language Models	Xiaoyu Shen, Rexhina Blloshmi, Dawei Zhu, Jiahuan Pei, Wei Zhang	N/A	N/A
On the Relationship between Truth and Political Bias in Language Models	Suyash Fulay, William Brannon, Shrestha Mohanty, Cassandra Overney, Elinor Poole-Dayan, Deb Roy, Jad Kabbara	N/A	N/A
Can Active Label Correction Improve LLM-based Modular AI Systems?	Karan Taneja, Ashok Goel	N/A	N/A
Statistical Uncertainty in Word Embeddings: GloVe-V	Andrea Vallebueno, Cassandra Handan-Nader, Christopher D Manning, Daniel E. Ho	N/A	N/A
Annotation alignment: Comparing LLM and human annotations of conversational safety	Rajiv Movva, Pang Wei Koh, Emma Pierson	N/A	N/A
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions	Nigel Fernandez, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Otero Ornelas, Andrew Lan	N/A	N/A
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention	Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang	N/A	N/A
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models	Yuetai Li, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Dinuka Sahabandu, Bhaskar Ramasubramanian, Radha Poovendran	N/A	N/A
Enhancing Reinforcement Learning with Intrinsic Rewards from Language Model Critique	Meng Cao, Lei Shu, Lei Yu, Yun Zhu, Nevan Wichers, Yinxiao Liu, Lei Meng	N/A	N/A
Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models	Layla Bouzoubaa, Elham Aghakhani, Shadi Rezapour	N/A	N/A
Efficient Sequential Decision Making with Large Language Models	Dingyang Chen, Qi Zhang, Yinglun Zhu	N/A	N/A
SignCLIP: Connecting Text and Sign Language by Contrastive Learning	Zifan Jiang, Gerard Sant, Amit Moryossef, Mathias Müller, Rico Sennrich, Sarah Ebling	N/A	N/A
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization	Yue Guo, Tal August, Gondy Leroy, Trevor Cohen, Lucy Lu Wang	N/A	N/A
Ontologically Faithful Generation of Non-Player Character Dialogues	Nathaniel Weir, Ryan Thomas, Randolph d’Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani	N/A	N/A
LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives	Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker	N/A	N/A
RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs	Ekaterina Taktasheva, Maxim Bazhukov, Kirill Koncha, Alena Fenogenova, Ekaterina Artemova, Vladislav Mikhailov	N/A	N/A
Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction	Zheye Deng, Chunkit Chan, Weiqi Wang, Yuxi Sun, Wei Fan, Tianshi Zheng, Yauwai Yim, Yangqiu Song	N/A	N/A
Toward Compositional Behavior in Neural Models: A Survey of Current Views	Kate McCurdy, Paul Soulos, Paul Smolensky	N/A	N/A
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs	Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, David Broman, Christopher Potts, Matei Zaharia, Omar Khattab	N/A	N/A
Reverse-Engineering the Reader	Samuel Kiegeland, Ethan Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell	N/A	N/A
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation	Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang	N/A	N/A
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text	Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun	N/A	N/A
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning	David Schulte, Felix Hamborg, Alan Akbik	N/A	N/A
The effects of distance on NPI illusive effects in BERT	So Young Lee, Mai Ha Vu	N/A	N/A
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic	Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Jansen, Peter Clark, Benjamin Van Durme	N/A	N/A
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US	Christabel Acquaye, Haozhe An, Rachel Rudinger	N/A	N/A
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding	Yue Fan, Lei Ding, Ching-Chen Kuo, Shan Jiang, Yang Zhao, Xinze Guan, Jie Yang, Yi Zhang, Xin Eric Wang	N/A	N/A
Ranking Manipulation for Conversational Search Engines	Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi	N/A	N/A
Fast Forwarding Low-Rank Training	Adir Rahamim, Naomi Saphra, Sara Kangaslahti, Yonatan Belinkov	N/A	N/A
Precise Model Benchmarking with Only a Few Observations	Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort	N/A	N/A
Attribute Diversity Determines the Systematicity Gap in VQA	Ian Berlot-Attwell, Kumar Krishna Agrawal, Annabelle Michael Carrell, Yash Sharma, Naomi Saphra	N/A	N/A
“Rows, Columns and Values, Oh My!” Synthesizing Scientific Literature into Tables using Language Models	Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S Weld, Joseph Chee Chang, Kyle Lo	N/A	N/A
Development of Cognitive Intelligence in Pre-trained Language Models	Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma	N/A	N/A
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding	Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui	N/A	N/A
Birdie: Advancing State Space Models with a Minimalist Architecture and Novel Pre-training Objectives	Sam Blouir, Jimmy T.H. Smith, Antonios Anastasopoulos, Amarda Shehu	N/A	N/A
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?	Pinzhen Chen, Simon Yu, Zhicheng Guo, Barry Haddow	N/A	N/A
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs	Sheridan Feucht, David Atkinson, Byron C Wallace, David Bau	N/A	N/A
TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering	Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig	N/A	N/A
Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding	Biswesh Mohapatra, Manav Nitin Kapadnis, Laurent Romary, Justine Cassell	N/A	N/A
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting	Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang	N/A	N/A
If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions	Reza Esfandiarpoor, Cristina Menghini, Stephen Bach	N/A	N/A
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction	Bowen Zhang, Harold Soh	N/A	N/A
MQuinE: a Cure for “Z-paradox” in Knowledge Graph Embedding	Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun	N/A	N/A
Can Transformer Language Models Learn $n$-gram Language Models?	Anej Svete, Nadav Borenstein, Mike Zhou, Ryan Cotterell	N/A	N/A
StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model	Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, Junmo Kim	N/A	N/A
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems	Philippe Laban, Alexander Fabbri, Caiming Xiong, Chien-Sheng Wu	N/A	N/A
Multi-pass Decoding for Grammatical Error Correction	Xiaoying Wang, Lingling Mu, Jingyi Zhang, Hongfei Xu	N/A	N/A
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations	Yucheng Jiang, Yijia Shao, Dekun Ma, Sina Semnani, Monica Lam	N/A	N/A
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation	Chenming Tang, Zhixiang Wang, Yunfang Wu	N/A	N/A
Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge	Yuxuan Wang, Yueqian Wang, Pengfei Wu, Jianxin Liang, Dongyan Zhao, Yang Liu, Zilong Zheng	N/A	N/A
STORYSUMM: Evaluating Faithfulness in Story Summarization	Melanie Subbiah, Faisal Ladhak, Akankshya Mishra, Griffin Thomas Adams, Lydia Chilton, Kathleen McKeown	N/A	N/A
MMOE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts	Haofei Yu, Zhengyang Qi, Lawrence Keunho Jang, Russ Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang	N/A	N/A
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer	Lu Zhang, Tiancheng Zhao, Heting Ying, Yibo Ma, Kyusong Lee	N/A	N/A
Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension	Lin Ai, Zheng Hui, Zizhou Liu, Julia Hirschberg	N/A	N/A
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions	Jun Rao, Xuebo Liu, Lian Lian, shengjun cheng, Yunjie Liao, Min Zhang	N/A	N/A
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers	Yuzhe Gu, Enmao Diao	N/A	N/A
Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models	Jaeseong Lee, seung-won hwang, Wonpyo Park, Mingi Ji	N/A	N/A
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood	Yang Xu, Yu Wang, Hao An, Yongyuan Li, Zhichen Liu	N/A	N/A
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning	Jiahui Li, Hanlin Zhang, Fengda Zhang, Tai-Wei Chang, Kun Kuang, Long Chen, JUN ZHOU	N/A	N/A
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models	XiaoHua Feng, Chaochao Chen, Yuyuan Li, Zibin Lin	N/A	N/A
ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs	Changchun Liu, Kai Zhang, Junzhe Jiang, Zirui Liu, Hanqing Tao, Min Gao, Enhong Chen	N/A	N/A
On the In-context Generation of Language Models	Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu	N/A	N/A
Atomic Inference for NLI with Generated Facts as Atoms	Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei	N/A	N/A
Towards Robust Speech Representation Learning for Thousands of Languages	William Chen, Wangyou Zhang, Yifan Peng, Xinjian Li, Jinchuan Tian, Jiatong Shi, Xuankai Chang, Soumi Maiti, Karen Livescu, Shinji Watanabe	N/A	N/A
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses	Xuan Ren, Biao Wu, Lingqiao Liu	N/A	N/A
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment	Jiahuan Li, Shujian Huang, Aarron Ching, Xinyu Dai, Jiajun Chen	N/A	N/A
An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance	Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song, Graham Neubig	N/A	N/A
When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models	Ting-Yun Chang, Jesse Thomason, Robin Jia	N/A	N/A
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference	Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo zhang, Yanghui Rao	N/A	N/A
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions	Jinsung Yoon, Rajarishi Sinha, Sercan O Arik, Tomas Pfister	N/A	N/A
KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction	Jianshang Kou, Benfeng Xu, Chiwei Zhu, Zhendong Mao	N/A	N/A
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation	Zhen Lin, Shubhendu Trivedi, Jimeng Sun	N/A	N/A
$\texttt{MixGR}$: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity	Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl	N/A	N/A
CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction	Tuan Dung Nguyen, Thanh Trung Huynh, Minh Hieu Phan, Quoc Viet Hung Nguyen, Phi Le Nguyen	N/A	N/A
“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning	Chuanqi Cheng, Quan Tu, Wei Wu, Shuo Shang, Cunli Mao, Zhengtao Yu, Rui Yan	N/A	N/A
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective	Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He	N/A	N/A
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding	Xin Liu, Farima Fatahi Bayat, Lu Wang	N/A	N/A
Reasoning Robustness of LLMs to Adversarial Typographical Errors	Esther Gan, Yiran Zhao, Liying Cheng, Mao Yancan, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh	N/A	N/A
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance	Pengyu Wang, Dong Zhang, Linyang Li, Chenkun Tan, Xinghao Wang, Mozhi Zhang, Ke Ren, Botian Jiang, Xipeng Qiu	N/A	N/A
Belief Revision: The Adaptability of Large Language Models Reasoning	Bryan Wilie, Samuel Cahyawijaya, Etsuko Ishii, Junxian He, Pascale Fung	N/A	N/A
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models	Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou	N/A	N/A
Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints	Minjia Wang, Fangzhou Liu, Xiuxing Li, Bowen Dong, Zhenyu Li, Tengyu Pan, Jianyong Wang	N/A	N/A
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models	Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng	N/A	N/A
LLMs Are Prone to Fallacies in Causal Inference	Nitish Joshi, Abulhair Saparov, Yixin Wang, He He	N/A	N/A
Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles	Ryan Louie, Ananjan Nandi, William Fang, Cheng Chang, Emma Brunskill, Diyi Yang	N/A	N/A
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification	Andreas Waldis, Joel Birrer, Anne Lauscher, Iryna Gurevych	N/A	N/A
When Generative Adversarial Networks Meet Sequence Labeling Challenges	Yu Tong, Ge Chen, Guokai Zheng, Rui Li, Jiang Dazhi	N/A	N/A
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering	Sungho Ko, Hyunjin Cho, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee	N/A	N/A
Speechworthy Instruction-tuned Language Models	Hyundong Justin Cho, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Karishma Sharma, Pedro Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May	N/A	N/A
Data, Data Everywhere: A Guide for Pretraining Dataset Construction	Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Liu, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro	N/A	N/A
Fine-Tuning and Prompt Optimization: Two Good Steps that Work Better Together	Dilara Soylu, Christopher Potts, Omar Khattab	N/A	N/A
Demystifying Verbatim Memorization in Large Language Models	Jing Huang, Diyi Yang, Christopher Potts	N/A	N/A
AmbigNLG: Addressing Task Ambiguity in Instruction for NLG	Ayana Niwa, Hayate Iso	N/A	N/A
Distributional Properties of Subword Regularization	Marco Cognetta, Vilém Zouhar, Naoaki Okazaki	N/A	N/A
DataTales: A Benchmark for Real-World Intelligent Data Narration	Yajing Yang, Qian Liu, Min-Yen Kan	N/A	N/A
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters	Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun	N/A	N/A
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization	Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin	N/A	N/A
Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models	Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer	N/A	N/A
More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation	Wencke Liermann, Jin-Xia Huang, Yohan Lee, Kong Joo Lee	N/A	N/A
Stable Language Model Pre-training by Reducing Embedding Variability	Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun	N/A	N/A
What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations	Kavya Manohar, Leena G Pillai	N/A	N/A
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets	Benjamin Schiller, Johannes Daxenberger, Andreas Waldis, Iryna Gurevych	N/A	N/A
Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas	Seungjong Sun, Eungu Lee, Seo Yeon Baek, Seunghyun Hwang, Lee wonbyung, Dongyan Nan, Bernard J Jansen, Jang Hyun Kim	N/A	N/A
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator	Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha	N/A	N/A
Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis	Yanjiang Chen, Kai Zhang, hufeng, Xianquan Wang, Ruikang li, Qi Liu	N/A	N/A
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization	Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl	N/A	N/A
Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA	Pu Jian, Donglei Yu, Jiajun Zhang	N/A	N/A
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights	Hao Yang, Lizhen Qu, Ehsan Shareghi, Reza Haf	N/A	N/A
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations	Milan BHAN, Jean-Noël Vittaut, Nicolas CHESNEAU, Marie-Jeanne Lesot	N/A	N/A
What are the Generator Preferences for End-to-end Task-Oriented Dialog System?	Wanshi Xu, Xianwei Zhuang, Zhanpeng Chen, Zhihong Zhu, Xuxin Cheng, Yuexian Zou	N/A	N/A
Paraphrase Types Elicit Prompt Engineering Capabilities	Jan Philip Wahle, Terry Ruas, Yang Xu, Bela Gipp	N/A	N/A
VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models	Jingtao Cao, Zhang Zheng, Hongru WANG, Kam-Fai Wong	N/A	N/A
Towards Online Continuous Sign Language Recognition and Translation	Ronglai Zuo, Fangyun Wei, Brian Mak	N/A	N/A
Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment	Yiwei Dai, Hengrui Gu, Ying Wang, Xin Wang	N/A	N/A
Split and Merge: Aligning Position Biases in LLM-based Evaluators	Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu	N/A	N/A
Integrating Argumentation and Hate-Speech-based Techniques for Countering Misinformation	Sougata Saha, Rohini Srihari	N/A	N/A
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM	Wenda Xu, Jiachen Li, William Yang Wang, Lei Li	N/A	N/A
One2Set + Large Language Model: Best Partners for Keyphrase Generation	Liangying Shao, Liang Zhang, Minlong Peng, Guoqi Ma, Hao Yue, Mingming Sun, Jinsong Su	N/A	N/A
Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering	Yifei Yuan, Yang Deng, Anders Søgaard, Mohammad Aliannejadi	N/A	N/A
ORPO: Monolithic Preference Optimization without Reference Model	Jiwoo Hong, Noah Lee, James Thorne	N/A	N/A
A Multi-Perspective Analysis of Memorization in Large Language Models	Bowen Chen, Namgi Han, Yusuke Miyao	N/A	N/A
Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations	Nicolò Penzo, Maryam Sajedinia, Bruno Lepri, Sara Tonelli, Marco Guerini	N/A	N/A
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs	Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych	N/A	N/A
Unveiling the Role of Pretraining in Direct Speech Translation	Belen Alastruey, Gerard I. Gállego, Marta R. Costa-jussà	N/A	N/A
PCQPR: Proactive Conversational Question Planning with Reflection	Shasha Guo	N/A	N/A
CodeAgent: Autonomous Communicative Agents for Code Review	Xunzhu Tang, KISUB KIM, Yewei Song, Cedric Lothritz, Bei Li, Saad Ezzini, Haoye Tian, Jacques Klein, Tegawendé F. Bissyandé	N/A	N/A
TroL: Traversal of Layers for Large Language and Vision Models	Byung-Kwan Lee, Sangyun Chung, Chae Won Kim, Beomchan Park, Yong Man Ro	N/A	N/A
MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language	Shun Wang, Ge Zhang, Han Wu, Tyler Loakman, Wenhao Huang, Chenghua Lin	N/A	N/A
Revisiting Supertagging for faster HPSG parsing	Olga Zamaraeva, Carlos Gómez-Rodríguez	N/A	N/A
Improve Dense Passage Retrieval with Entailment Tuning	Lu Dai, Hao Liu, Hui Xiong	N/A	N/A
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models	Yuxiang Zhang, Jing Chen, Junjie Wang, Yaxin Liu, Cheng Yang, Chufan Shi, Xinyu Zhu, Zihao Lin, Hanwen WAN, Yujiu Yang, Tetsuya Sakai, Tian Feng, Hayato Yamana	N/A	N/A
TEMA: Token Embeddings Mapping for Enriching Low-Resource Language Models	Rodolfo Zevallos, Núria Bel, Mireia Farrús	N/A	N/A
DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting	Xuanming Zhang, Anthony Diaz, Zixun Chen, Qingyang Wu, Kun Qian, Erik Voss, Zhou Yu	N/A	N/A
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback	Fatemeh Pesaran zadeh, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim	N/A	N/A
PrExMe: Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation	Christoph Leiter, Steffen Eger	N/A	N/A
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning	Shuai Zhao, Meihuizi Jia, Anh Tuan Luu, Fengjun Pan, Jinming Wen	N/A	N/A
Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models	Javier Chiyah-Garcia, Alessandro Suglia, Arash Eshghi	N/A	N/A
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models	Xinrong Zhang, Yingfa Chen, Shengding Hu, Xu Han, Zihang Xu, Yuanwei Xu, Weilin Zhao, Maosong Sun, Zhiyuan Liu	N/A	N/A
Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations	Matthias Lindemann, Alexander Koller, Ivan Titov	N/A	N/A
Puzzle Solving using Reasoning of Large Language Models: A Survey	Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, Giorgos Stamou	N/A	N/A
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading	Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Jianfeng Gao, Fabian Peller-Konrad, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues	N/A	N/A
Red Teaming Language Models for Processing Contradictory Dialogues	Xiaofei Wen, Bangzheng Li, Tenghao Huang, Muhao Chen	N/A	N/A
Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models	Sander Land, Max Bartolo	N/A	N/A
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs	Houman Mehrafarin, Arash Eshghi, Ioannis Konstas	N/A	N/A
Don’t Underestimate the Octopus - Why The Symbol Grounding Problem Does Not Apply to LLMs	Reto Gubelmann	N/A	N/A
Major Entity Identification: A Generalizable Alternative to Coreference Resolution	Kawshik Manikantan, Shubham Toshniwal, Makarand Tapaswi, Vineet Gandhi	N/A	N/A
Enhancing High-order Interaction Awareness in LLM-based Recommender Model	Xinfeng Wang, Jin Cui, Fumiyo Fukumoto, Yoshimi Suzuki	N/A	N/A
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning	Akshay Paruchuri, Jake Garrison, shun liao, John B Hernandez, Jacob Sunshine, Tim Althoff, Xin Liu, Daniel McDuff	N/A	N/A
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction	Han Jiang, Junwen Duan, Zhe Qu, Jianxin Wang	N/A	N/A
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models	Hayder Elesedy, Pedro M Esperanca, Silviu Vlad Oprea, Mete Ozay	N/A	N/A
“A good pun is its own reword”: Can Large Language Models Understand Puns?	Zhijun Xu, Siyu Yuan, Lingjie Chen, Deqing Yang	N/A	N/A
QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation	Weiping Fu, Bifan Wei, Jianxiang Hu, Zhongmin Cai, Jun Liu	N/A	N/A
Dependency Graph Parsing as Sequence Labeling	Ana Ezquerro, David Vilares, Carlos Gómez-Rodríguez	N/A	N/A
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data	Sergei Bogdanov, Alexandre Constantin, Timothée Bernard, Benoit Crabbé, Etienne P Bernard	N/A	N/A
Towards a Greek Proverb Atlas: Computational Spatial Exploration and Attribution of Greek Proverbs	John Pavlopoulos, Panos Louridas, Panagiotis Filos	N/A	N/A
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications	Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu	N/A	N/A
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss	Bowen Zhang, Chunping Li	N/A	N/A
Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training	Marc Felix Brinner, Sina Zarrieß	N/A	N/A
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation	Markus Frohmann, Igor Sterner, Ivan Vulić, Benjamin Minixhofer, Markus Schedl	N/A	N/A
Applying Contrastive Learning to Code Vulnerability Type Classification	Chen Ji, Su Yang, Hongyu Sun, Yuqing Zhang	N/A	N/A
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts	Ruida WANG, Jipeng Zhang, Yizhen Jia, Rui Pan, Shizhe Diao, Renjie Pi, Tong Zhang	N/A	N/A
Multi-Level Cross-Modal Alignment for Speech Relation Extraction	Liang Zhang, Zhen Yang, Biao Fu, Ziyao Lu, Liangying Shao, Shiyu Liu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jinsong Su	N/A	N/A
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models	Christopher Schröder, Gerhard Heyer	N/A	N/A
PANDA: Persona Attributes Navigation for Detecting and Alleviating Overuse Problem in Large Language Models	Jinsung Kim, Seonmin Koo, Heuiseok Lim	N/A	N/A
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm	Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker	N/A	N/A
Subword Segmentation in LLMs: Looking at Inflection and Consistency	Marion Di Marco, Alexander Fraser	N/A	N/A
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments	Omar Sharif, Joseph Gatto, MADHUSUDAN BASAK, Sarah Masud Preum	N/A	N/A
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models	Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut	N/A	N/A
Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data	Jean-Flavien Bussotti, Luca Ragazzi, Giacomo Frisoni, Gianluca Moro, Paolo Papotti	N/A	N/A
TL-CL: Task And Language Incremental Continual Learning	Shrey Satapara, P. K. Srijith	N/A	N/A
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?	Daniel P Jeong, Saurabh Garg, Zachary Chase Lipton, Michael Oberst	N/A	N/A
Empowering Multi-step Reasoning across Languages via Program-Aided Language Models	Leonardo Ranaldi, Giulia Pucci	N/A	N/A
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models	Yu Yuan, Lili Zhao, Kai Zhang, Guangting Zheng, Qi Liu	N/A	N/A
ControlMath: Controllable Data Generation Promotes Math Generalist Models	Nuo Chen, Ning Wu, Jianhui Chang, MING GONG, Linjun Shou, Dongmei Zhang, Jia Li	N/A	N/A
Where Am I From? Identifying Origin of LLM-generated Content	Liying LI, Yihan Bai, Minhao Cheng	N/A	N/A
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment	Tarek Naous, Michael J Ryan, Anton Lavrouk, Mohit Chandra, Wei Xu	N/A	N/A
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text	Michael Ginn, Lindia Tjuatja, Taiqi He, Enora Rice, Graham Neubig, Alexis Palmer, Lori Levin	N/A	N/A
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains	Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari, Amir Zeldes	N/A	N/A
RA2FD: Distilling Faithfulness into Efficient Dialogue Systems	Zhiyuan Zhu, Yusheng Liao, Chenxin Xu, Yunfeng Guan, Yanfeng Wang, Yu Wang	N/A	N/A
Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation	Fangrui Lv, Kaixiong Gong, Jian Liang, Xinyu Pang, Changshui Zhang	N/A	N/A
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently	Kanishka Misra, Allyson Ettinger, Kyle Mahowald	N/A	N/A
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking	Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong	N/A	N/A
A Coordinate System for In-Context Learning	Anhao Zhao, Fanghua Ye, Jinlan Fu, Xiaoyu Shen	N/A	N/A
Self-Powered LLM Modality Expansion for Large Speech-Text Models	Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang	N/A	N/A
ABSEval: An Agent-based Framework for Script Evaluation	Sirui Liang, Baoli Zhang, Jun Zhao, Kang Liu	N/A	N/A
Latent Concept-based Explanation of NLP Models	Xuemin Yu, Fahim Dalvi, Nadir Durrani, Marzia Nouri, Hassan Sajjad	N/A	N/A
Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher	Hyunjong Ok, Jegwang Ryu, Jaeho Lee	N/A	N/A
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research	Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras	N/A	N/A
The Mystery of the Pathological Path-star Task for Language Models	Arvid Frydenlund	N/A	N/A
Voices in a Crowd: Searching for clusters of unique perspectives	Nikolas Vitsakis, Amit Parekh, Ioannis Konstas	N/A	N/A
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent	Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu	N/A	N/A
SLANG: New Concept Comprehension of Large Language Models	Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng	N/A	N/A
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models	Michael Lan, Philip Torr, Fazl Barez	N/A	N/A
Why Does New Knowledge Create Messy Ripple Effects in LLMs?	Jiaxin Qin, Zixuan Zhang, Chi Han, Pengfei Yu, Manling Li, Heng Ji	N/A	N/A
Lifelong Event Detection via Optimal Transport	Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Linh Van Ngo, Thien Huu Nguyen	N/A	N/A
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories	Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot	N/A	N/A
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation	KaShun SHUM, Minrui Xu, Jianshu Zhang, Zixin CHEN, Shizhe Diao, Hanze Dong, Jipeng Zhang, Muhammad Omer Raza	N/A	N/A
Domain adapted machine translation: What does catastrophic forgetting forget and why?	Danielle Saunders, Steve DeNeefe	N/A	N/A
Enhancing AI Assisted Writing with One-Shot Implicit Negative Feedback	Benjamin Towle, Ke Zhou	N/A	N/A
Atomic Self-Consistency for Better Long Form Generations	Raghuveer Thirukovalluru, Yukun Huang, Bhuwan Dhingra	N/A	N/A
“Global is Good, Local is Bad?’’: Understanding Brand Bias in LLMs	Mahammed Kamruzzaman, Hieu Minh Nguyen, Gene Louis Kim	N/A	N/A
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach	Siqi Li, Danni Liu, Jan Niehues	N/A	N/A
ACE: A LLM-based Negotiation Coaching System	Ryan Shea, Aymen Kallala, Xin Lucy Liu, Michael W. Morris, Zhou Yu	N/A	N/A
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities	Ming Zhang, Caishuang Huang, Yilong Wu, Shichun Liu, Huiyuan Zheng, Yurui Dong, Yujiong Shen, Shihan Dou, Jun Zhao, Junjie Ye, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals	Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Jiayin Zhi, Shaun M. Eack, Travis Labrum, Samuel M Murphy, Nev Jones, Kate V Hardy, Hong Shen, Fei Fang, Zhiyu Chen	N/A	N/A
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction	Xueren Ge, Abhishek Satpathy, Ronald Dean Williams, John Stankovic, Homa Alemzadeh	N/A	N/A
$\texttt{ModSCAN}$: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities	Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu, Michael Backes, Yang Zhang	N/A	N/A
Large Language Models Can Self-Correct with Key Condition Verification	Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang	N/A	N/A
Learning to Write Rationally: How Information Is Distributed in Non-native Speakers’ Essays	Zixin Tang, Janet van Hell	N/A	N/A
Defending Against Social Engineering Attacks in the Age of LLMs	Lin Ai, Tharindu Sandaruwan Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael S. Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, huan liu, Julia Hirschberg	N/A	N/A
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models	Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi	N/A	N/A
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training	Yixuan Wang, Xianzhen Luo, Fuxuan Wei, Yijun Liu, Qingfu Zhu, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che	N/A	N/A
Target-Aware Language Modeling via Granular Data Sampling	Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao, Daeil Kim, Rastislav Rabatin, Zechun Liu, Yangyang Shi, Vikas Chandra	N/A	N/A
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness	Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng	N/A	N/A
Learning from Feedback with Coupled Comprehension and Generation	Mustafa Omer Gul, Yoav Artzi	N/A	N/A
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks	Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei	N/A	N/A
Story Morals: Surfacing value-driven narrative schemas using large language models	David G Hobson, Haiqi Zhou, Derek Ruths, Andrew Piper	N/A	N/A
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants	Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, Swabha Swayamdipta	N/A	N/A
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies	Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Murari Tiyyala, Nicholas Andrews, Daniel Khashabi	N/A	N/A
SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents	Qi Zhang, Zhijia Chen, Huitong Pan, Cornelia Caragea, Longin Jan Latecki, Eduard Dragut	N/A	N/A
Analysis of Plan-based Retrieval for Grounded Text Generation	Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer	N/A	N/A
Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors	Alex Chandler, Devesh Surve, Hui Su	N/A	N/A
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs	John Dang, Arash Ahmadian, Kelly Marchisio, Julia Kreutzer, Ahmet Üstün, Sara Hooker	N/A	N/A
Improving Logical Fallacy Reasoning with Logical Structure Tree	Yuanyuan Lei, Ruihong Huang	N/A	N/A
Chain and Causal Attention for Efficient Entity Tracking	Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen	N/A	N/A
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models	Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, Ruoxi Jia	N/A	N/A
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution	Zhengmian Hu, Tong Zheng, Heng Huang	N/A	N/A
FAC$^2$E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition	Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu	N/A	N/A
OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation	Tanvir Mahmud, Diana Marculescu	N/A	N/A
Language Concept Erasure for Language-invariant Dense Retrieval	Zhiqi Huang, Puxuan Yu, Shauli Ravfogel, James Allan	N/A	N/A
Learning Personalized Alignment for Evaluating Open-ended Text Generation	Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian	N/A	N/A
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks	Yue Zhou, Henry Peng Zou, Barbara Di Eugenio, Yang Zhang	N/A	N/A
Turn Waste into Worth: Rectifying Top-$k$ Router of MoE	Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu	N/A	N/A
Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination	Pittawat Taveekitworachai, Febri Abdullah, Ruck Thawonmas	N/A	N/A
CommVQA: Situating Visual Question Answering in Communicative Contexts	Nandita Shankar Naik, Christopher Potts, Elisa Kreiss	N/A	N/A
Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding	Weilin Zhao, Yuxiang Huang, Xu Han, Wang Xu, Chaojun Xiao, Xinrong Zhang, Yewei Fang, Kaihuo Zhang, Zhiyuan Liu, Maosong Sun	N/A	N/A
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?	Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun	N/A	N/A
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective	Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G Honavar	N/A	N/A
Style-Specific Neurons for Steering LLMs in Text Style Transfer	Wen Lai, Viktor Hangya, Alexander Fraser	N/A	N/A
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers	Tianhua Zhang, Kun LI, Hongyin Luo, Xixin Wu, James R. Glass, Helen M. Meng	N/A	N/A
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction	Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han	N/A	N/A
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models	Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu	N/A	N/A
Leveraging Context-aware Prompting for Commit Message Generation	Zhihua Jiang, Jianwei Chen, Dongning Rao, Guanghui Ye	N/A	N/A
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination	Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein	N/A	N/A
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning	Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang, Longtao Huang, Hui Xue’	N/A	N/A
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models	Zhihao Wang, Shiyu Liu, Jianheng Huang, Wang Zheng, YiXuan Liao, Xiaoxin Chen, Junfeng Yao, Jinsong Su	N/A	N/A
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages	Jimin Sohn, Haeji Jung, Alex Cheng, Jooeon Kang, Yilin Du, David R Mortensen	N/A	N/A
An Analysis and Mitigation of the Reversal Curse	Ang Lv, Kaiyi Zhang, Shufang Xie, Quan Tu, Yuhan Chen, Ji-Rong Wen, Rui Yan	N/A	N/A
Exploring the Practicality of Generative Retrieval on Dynamic Corpora	Soyoung Yoon, Chaeeun Kim, Hyunji Lee, Joel Jang, Sohee Yang, Minjoon Seo	N/A	N/A
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting	Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen	N/A	N/A
Gotcha! Don’t trick me with unanswerable questions! Self-aligning Large Language Models for Proactively Responding to Unknown Questions	Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua	N/A	N/A
Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning	Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Fan Yang, Mao Yang	N/A	N/A
Large Language Models in the Clinic: A Comprehensive Benchmark	Fenglin Liu, Zheng Li, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Hongjian Zhou, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei Clifton, Bing Yin, David A. Clifton	N/A	N/A
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction	Jinchuan Zhang, Yan Zhou, Yaxin Liu, Ziming Li, Songlin Hu	N/A	N/A
Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective	Van-Cuong Pham, Thien Huu Nguyen	N/A	N/A
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG	Jinyoung Kim, Dayoon Ko, Gunhee Kim	N/A	N/A
Preserving Generalization of Language models in Few-shot Continual Relation Extraction	Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Van Ngo, Thien Huu Nguyen	N/A	N/A
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations	Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, Mizanur Rahman, Mohammad Abdullah Matin Khan, Haidar Khan, Israt Jahan, Amran Bhuiyan, Chee Wei Tan, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty, Jimmy Huang	N/A	N/A
Consecutive Batch Model Editing with HooK Layers	Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang CHEN, Wai Lam	N/A	N/A
Topic-Oriented Open Relation Extraction with A Priori Seed Generation	Linyi Ding, Jinfeng Xiao, Sizhe Zhou, Chaoqi Yang, Jiawei Han	N/A	N/A
Related Work and Citation Text Generation: A Survey	Xiangci Li, Jessica Ouyang	N/A	N/A
Curriculum Consistency Learning for Conditional Sentence Generation	Liangxin Liu, Xuebo Liu, Lian Lian, shengjun cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang	N/A	N/A
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences	Leonardo Bertolazzi, Albert Gatt, Raffaella Bernardi	N/A	N/A
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision	Fan Jiang, Tom Drummond, Trevor Cohn	N/A	N/A
Towards an Open-Source Speech Foundation Model for EU: 950,000 Hours of Open-Source Compliant Speech Data for EU Languages	Marco Gaido, Sara Papi, Luisa Bentivogli, Alessio Brutti, Mauro Cettolo, Roberto Gretter, Marco Matassoni, Mohamed Nabih, Matteo Negri	N/A	N/A
Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning	Jiashi Lin, Lifang Wang, Xinyu Lu, Zhongtian Hu, Wei Zhang, Wenxuan Lu	N/A	N/A
Contribution of Linguistic Typology to Universal Dependency Parsing: An Empirical Investigation	Ali Basirat, Navid Baradaran Hemmati	N/A	N/A
TRoTR: A Framework for Evaluating the Re-contextualization of Text Reuse	Francesco Periti, Pierluigi Cassotti, Stefano Montanelli, Nina Tahmasebi, Dominik Schlechtweg	N/A	N/A
Structured Optimal Brain Pruning for Large Language Models	Jiateng Wei, Quan Lu, ning jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu	N/A	N/A
Automatically Generated Definitions and their utility for Modeling Word Meaning	Francesco Periti, David Alfter, Nina Tahmasebi	N/A	N/A
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data	Yejie Wang, Keqing He, Dayuan Fu, Zhuoma GongQue, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu	N/A	N/A
MINT: A Benchmark for Evaluating Instructed Information Retrieval	Weiwei Sun, Zhengliang Shi, Wu Jiu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren	N/A	N/A
Rethinking the Evaluation of In-Context Learning for LLMs	Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao	N/A	N/A
Cluster-Norm for Unsupervised Probing of Knowledge	Walter Laurito, Sharan Maiya, Grégoire DHIMOÏLA, Owen Ho Wan Yeung, Kaarel Hänni	N/A	N/A
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries	Eden Biran, Daniela Gottesman, Sohee Yang, Mor Geva, Amir Globerson	N/A	N/A
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration	Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng	N/A	N/A
Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts	Seonmin Koo, Jinsung Kim, YoungJoon Jang, Chanjun Park, Heuiseok Lim	N/A	N/A
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students	Matthew Shu, Nishant Balepur, Shi Feng, Jordan Lee Boyd-Graber	N/A	N/A
Large Language Models Can Be Contextual Privacy Protection Learners	Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng	N/A	N/A
A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick	Nishant Balepur, Matthew Shu, Alexander Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan Lee Boyd-Graber	N/A	N/A
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models	Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf	N/A	N/A
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction	Jun-Hyung Park, Yeachan Kim, Mingyu Lee, Hyuntae Park, SangKeun Lee	N/A	N/A
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning	Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Keisuke Sakaguchi, Kentaro Inui	N/A	N/A
Tools Fail: Detecting Silent Errors in Faulty Tools	Jimin Sun, So Yeon Min, Yingshan Chang, Yonatan Bisk	N/A	N/A
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity	Bowen Zhang, Chunping Li	N/A	N/A
Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing	Deokhyung Kang, Seonjeong Hwang, Yunsu Kim, Gary Lee	N/A	N/A
Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling	Georgios Pantazopoulos, Malvina Nikandrou, Alessandro Suglia, Oliver Lemon, Arash Eshghi	N/A	N/A
Are LLMs Good Zero-Shot Fallacy Classifiers?	Fengjun Pan, Xiaobao Wu, Zongrui Li, Anh Tuan Luu	N/A	N/A
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis	Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He	N/A	N/A
More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages	Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi	N/A	N/A
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification	Ming Li, Jike Zhong, Chenxin Li, Liuzhuozheng Li, Nie Lin, Masashi Sugiyama	N/A	N/A
ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos	Arpan Phukan, Manish Gupta, Asif Ekbal	N/A	N/A
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation	Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang, Munazza Zaib, Ahoud Alhazmi	N/A	N/A
Evaluating $n$-Gram Novelty of Language Models Using Rusty-DAWG	William Merrill, Noah A. Smith, Yanai Elazar	N/A	N/A
ASL STEMpedia: Dataset and Benchmark for Interpreting STEM Articles	Kayo Yin, Chinmay Singh, Fyodor O Minakov, Vanessa Milan, Hal Daumé III, Cyril Zhang, Alex Xijie Lu, Danielle Bragg	N/A	N/A
Can Automatic Metrics Assess High-Quality Translations?	Sweta Agrawal, António Farinhas, Ricardo Rei, Andre Martins	N/A	N/A
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation	Sweta Agrawal, José G. C. de Souza, Ricardo Rei, António Farinhas, Gonçalo Faria, Patrick Fernandes, Nuno M Guerreiro, Andre Martins	N/A	N/A
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding	Bowen Xing, Lizi Liao, Minlie Huang, Ivor Tsang	N/A	N/A
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models	Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren	N/A	N/A
SecCoder: Towards Generalizable and Robust Secure Code Generation	Boyu Zhang, Tianyu Du, Junkai Tong, Xuhong Zhang, Kingsum Chow, Sheng Cheng, Xun Wang, Jianwei Yin	N/A	N/A
Nash CoT: Multi-Path Inference with Preference Equilibrium	Ziqi Zhang, Cunxiang Wang, Xiao Xiong, Yue Zhang, Donglin Wang	N/A	N/A
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention	Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou	N/A	N/A
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector	Xiaoxue Cheng, Junyi Li, Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di ZHANG, Kun Gai, Ji-Rong Wen	N/A	N/A
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding	Wei Li, Zhen Huang, Xinmei Tian, Le Lu, Houqiang Li, Xu Shen, Jieping Ye	N/A	N/A
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History	Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark Gales, Mario Fritz	N/A	N/A
Social Bias Probing: Fairness Benchmarking for Language Models	Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein	N/A	N/A
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models	Wenhao Yu, Hongming Zhang, Xiaoman Pan, peixin cao, Kaixin Ma, Jian Li, Hongwei Wang, Dong Yu	N/A	N/A
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models	Jiabao Pan, Yan Zhang, Chen Zhang, Zuozhu Liu, Hongwei Wang, Haizhou Li	N/A	N/A
Revisiting Automated Evaluation for Long-form Table Question Answering in the Era of Large Language Models	Yuqi Wang, Lyuhao Chen, Yilun Zhao	N/A	N/A
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems	Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He	N/A	N/A
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning	Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang	N/A	N/A
FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents	Yilun Zhao, Yitao Long, Tintin Jiang, Weiyuan Chen, Chengye Wang, Hongjun Liu, Xiangru Tang, Yiming Zhang, Chen Zhao, Arman Cohan	N/A	N/A
Extracting Prompts by Inverting LLM Outputs	Collin Zhang, John Xavier Morris, Vitaly Shmatikov	N/A	N/A
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs	Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu	N/A	N/A
VHASR: A Multimodal Speech Recognition System With Vision Hotwords	Jiliang Hu, Zuchao Li, Ping Wang, Haojun Ai, Lefei Zhang, hai zhao	N/A	N/A
A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors	Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell	N/A	N/A
Bridging Local Details and Global Context in Text-Attributed Graphs	Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, liyunfei, Siliang Tang	N/A	N/A
Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks	Felermino D. M. A. Ali, Henrique Lopes Cardoso, Rui Sousa-Silva	N/A	N/A
RepMatch: Quantifying Cross-Instance Similarities in Representation Space	Mohammad Reza Modarres, Sina Abbasi, Mohammad Taher Pilehvar	N/A	N/A
Commonsense Knowledge Editing Based on Free-Text in LLMs	Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu	N/A	N/A
A Closer Look at Multidimensional Online Political Incivility	Sagi Pendzel, Nir Lotan, Alon Zoizner, Einat Minkov	N/A	N/A
Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training	Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu	N/A	N/A
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation	Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky	N/A	N/A
Unsupervised Named Entity Disambiguation for Low Resource Domains	Debarghya Datta, Soumajit Pramanik	N/A	N/A
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers	Viktoriia A. Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan Oseledets	N/A	N/A
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion	Qingyang Li, Yanru Zhong, Yuchu Qin	N/A	N/A
ActPlan-1K: Benchmarking the Procedural Planning Ability of Visual Language Models in Household Activities	Ying Su, Zhan Ling, Haochen Shi, Cheng Jiayang, Yauwai Yim, Yangqiu Song	N/A	N/A
Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning	Xiaopeng Xie, Ming YAN, Xiwen Zhou, Chenlong Zhao, Suli Wang, Yong Zhang, Joey Tianyi Zhou	N/A	N/A
GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients	Aashiq Muhamed, Oscar Li, David Woodruff, Mona T. Diab, Virginia Smith	N/A	N/A
RaTEScore: A Metric for Entity-Aware Radiology Text Similarity	Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Weidi Xie	N/A	N/A
HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning	Shayan Ali Akbar, Md Mosharaf Hossain, Tess Wood, Si-Chi Chin, Victor Alvarez, Erica M Salinas, Erwin Cornejo	N/A	N/A
Learning to Rank Salient Content for Query-focused Summarization	Sajad Sotudeh, Nazli Goharian	N/A	N/A
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions	Qian Ruan, Ilia Kuznetsov, Iryna Gurevych	N/A	N/A
LitSearch: A Retrieval Benchmark for Scientific Literature Search	Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao	N/A	N/A
Open-world Multi-label Text Classification with Extremely Weak Supervision	Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang	N/A	N/A
LMs learn governing principles of dynamical systems, revealing an in-context neural scaling law	Toni J.B. Liu, Nicolas Boulle, Raphaël Sarfati, Christopher Earls	N/A	N/A
AKEW: Assessing Knowledge Editing in the Wild	Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu	N/A	N/A
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation	Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh	N/A	N/A
Dense X Retrieval: What Retrieval Granularity Should We Use?	Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu	N/A	N/A
Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach	Yanchen Liu, Mingyu Derek Ma, Wenna Qin, Azure Zhou, Jiaao Chen, Weiyan Shi, Wei Wang, Diyi Yang	N/A	N/A
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models	Zheng Zhao, Yftah Ziser, Shay B Cohen	N/A	N/A
XDetox: Text Detoxification with Token-Level Toxicity Explanations	Beomseok Lee, Hyunwoo Kim, Keon Kim, Yong Suk Choi	N/A	N/A
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach	ZiHao Xiao, Jiefu Gong, Shijin Wang, Wei Song	N/A	N/A
Evaluating LLMs’ Capability in Satisfying Lexical Constraints	Bingxuan Li, Yiwei Wang, Tao Meng, Nanyun Peng, Kai-Wei Chang	N/A	N/A
Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion	Chenyu Qiu, Pengjiang Qian, Chuang Wang, Jian Yao, Li Liu, Fang wei, Eddie Y.K. Eddie	N/A	N/A
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning	Lu Chen, Rui Zheng, Binghai Wang, Senjie Jin, Caishuang Huang, Junjie Ye, Zhihao Zhang, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts	Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng	N/A	N/A
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models	Zi’ou Zheng, Christopher Malon, Martin Renqiang Min, Xiaodan Zhu	N/A	N/A
Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning	Panuthep Tasawong, Peerat Limkonchotiwat, Potsawee Manakul, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong	N/A	N/A
MetaBench: Planning of Multiple APIs from Various APPs for Complex User Instruction	Hongru WANG, Rui Wang, Boyang XUE, Heming Xia, Jingtao Cao, Zeming Liu, Jeff Z. Pan, Kam-Fai Wong	N/A	N/A
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment	Zhipeng Chen, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen	N/A	N/A
AudioVSR: Enhancing Video Speech Recognition with Audio Data	Xiaoda Yang, Xize Cheng, Jiaqi Duan, Hongshun Qiu, Minjie Hong, Minghui Fang, Shengpeng Ji, Jialong Zuo, Zhiqing Hong, Zhimeng Zhang, Tao Jin	N/A	N/A
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?	Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried	N/A	N/A
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level	Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu	N/A	N/A
Re-ReST: Reflection-Reinforced Self-Training for Language Agents	Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng	N/A	N/A
Effective Synthetic Data and Test-Time Adaptation for OCR Correction	Shuhao Guan, Cheng Xu, Moule Lin, Derek Greene	N/A	N/A
SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework	Fu Zhang, Qi Miao, Jingwei Cheng, Hongsen Yu, Yi Yan, Xin Li, YongxueWu	N/A	N/A
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension	Junzhuo Liu, Xuzheng Yang, WEIWEI LI, Peng Wang	N/A	N/A
Exploring the Learning Capabilities of Language Models using LEVERWORLDS	Eitan Wagner, Amir Feder, Omri Abend	N/A	N/A
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models	Eitan Wagner, Yuli Slavutsky, Omri Abend	N/A	N/A
DocEditAgent: Document Structure Editing Via Multimodal LLM Grounding	Manan Suri, Puneet Mathur, Franck Dernoncourt, Rajiv Jain, Vlad I Morariu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha	N/A	N/A
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging	Tzu-Han Lin, Chen-An Li, Hung-yi Lee, Yun-Nung Chen	N/A	N/A
Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing	Ifeoluwa Wuraola, Nina Dethlefs, Daniel Marciniak	N/A	N/A
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding	Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou	N/A	N/A
Re-Reading Improves Reasoning in Large Language Models	Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-Guang Lou, Shuai Ma	N/A	N/A
Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis	Qingcheng Zeng, Mingyu Jin, Rob Voigt	N/A	N/A
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments	Sourjyadip Ray, Kushal Gupta, Soumi Kundu, Dr Payal Arvind Kasat, Somak Aditya, Pawan Goyal	N/A	N/A
Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations	Jiyi Li	N/A	N/A
Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation	Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu	N/A	N/A
Revisiting Supervised Contrastive Learning for Microblog Classification	Junbo Huang, Ricardo Usbeck	N/A	N/A
BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting	Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang	N/A	N/A
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective	Zhaotian Weng, Zijun Gao, Jerone Andrews, Jieyu Zhao	N/A	N/A
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing	Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei	N/A	N/A
SciAgent: Tool-augmented Language Models for Scientific Reasoning	Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun	N/A	N/A
Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents	Dong Won Lee, Hae Won Park, Yoon Kim, Cynthia Breazeal, Louis-Philippe Morency	N/A	N/A
Towards Measuring and Modeling “Culture” in LLMs: A Survey	Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, Siddhant Shivdutt Singh, Alham Fikri Aji, Jacki O’Neill, Ashutosh Modi, Monojit Choudhury	N/A	N/A
ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models	Haiquan Zhao, Lingyu Li, Shisong Chen, Shuqi Kong, Jiaan Wang, Kexin Huang, Tianle Gu, Yixu Wang, Jian Wang, Liang Dandan, Zhixu Li, Yan Teng, Yanghua Xiao, Yingchun Wang	N/A	N/A
Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting	Sagnik Mukherjee, Muhammad Farid Adilazuarda, Sunayana Sitaram, Kalika Bali, Alham Fikri Aji, Monojit Choudhury	N/A	N/A
Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features	Xiao Yu, Kejiang Chen, Qi Yang, Weiming Zhang, Nenghai Yu	N/A	N/A
Hate Personified: Investigating the role of LLMs in content moderation pipeline for hate speech	Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexander Fraser, Tanmoy Chakraborty	N/A	N/A
Temporally Consistent Factuality Probing for Large Language Models	Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy Chakraborty	N/A	N/A
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives	Zihao Li, Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann	N/A	N/A
Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators	Prasoon Bajpai, Niladri Chatterjee, Subhabrata Dutta, Tanmoy Chakraborty	N/A	N/A
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training	Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng	N/A	N/A
Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability	Xinyu Hu, Li Lin, Mingqi Gao, Xunjian Yin, Xiaojun Wan	N/A	N/A
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging	Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, hanyu Zhao, Siqi Fan, Zheng Zhang	N/A	N/A
Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning	Sam Spilsbury, Pekka Marttinen, Alexander Ilin	N/A	N/A
FAME: Factual Multi-task Model Editing Benchmark	Li Zeng, Yingyu Shan, Zeming Liu, Jiashu Yao, Yuhang Guo	N/A	N/A
MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance	Renjie Pi, Tianyang Han, Jianshu Zhang, Yueqi XIE, Rui Pan, Qing LIAN, Hanze Dong, Jipeng Zhang, Tong Zhang	N/A	N/A
Leveraging Large Language Models for NLG Evaluation: Advances and Challenges	Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Yuxuan Lai, Chongyang Tao, Shuai Ma	N/A	N/A
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs	Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang	N/A	N/A
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models	Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin	N/A	N/A
CorrSynth - A Correlated Sampling Method for Diverse dataset Generation from LLMs	Abhishek Divekar, Suhas S Kowshik, Vijit Malik	N/A	N/A
Defining Knowledge: Bridging Epistemology and Large Language Models	Constanza Fierro, Ruchira Dhar, Filippos Stamatiou, Nicolas Garneau, Anders Søgaard	N/A	N/A
TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs	Peiwen Jiang, Zibo Zhao, Xinbo Lin, Ruhui Ma, Yvonne Jie Chen, Jinhua Cheng	N/A	N/A
Free your mouse! Command Large Language Models to Generate Code to Format Word Documents	Shihao Rao, Liang Li, Jiapeng Liu, Guan Weixin, Xiyan Gao, bing lim	N/A	N/A
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models	Jiawei Gu, Zacc Yang, Chuanghao Ding, Rui Zhao, Fei Tan	N/A	N/A
The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs	Tianyang Han, Qing LIAN, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang	N/A	N/A
Rationale-Aware Answer Verification by Pairwise Self-Evaluation	Akira Kawabata, Saku Sugawara	N/A	N/A
On the Robustness of Editing Large Language Models	Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, hai zhao, lifeng Liu, Yulong Wang	N/A	N/A
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method	MiHyeon Kim, Juhyoung Park, YoungBin Kim	N/A	N/A
Distract Large Language Models for Automatic Jailbreak Attack	Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen	N/A	N/A
Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification	He-Zhe Lin, Cheng-Hung Liu, Chih-Jen Lin	N/A	N/A
WorryWords: Norms of Anxiety Association for 44,450 English Words	Saif M. Mohammad	N/A	N/A
Finding Blind Spots in Evaluator LLMs with Interpretable Checklists	Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma, Mitesh M Khapra	N/A	N/A
LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration	Jun Zhao, Can Zu, Xu Hao, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments	Till Raphael Saenger, Musashi Hinck, Justin Grimmer, Brandon M. Stewart	N/A	N/A
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs	Simone Conia, Daniel Lee, Min Li, Umar Farooq Minhas, Saloni Potdar, Yunyao Li	N/A	N/A
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems	Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang	N/A	N/A
Scaling Laws for Linear Complexity Language Models	Xuyang Shen, Dong Li, Ruitao Leng, Zhen Qin, Weigao Sun, Yiran Zhong	N/A	N/A
Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards	Heejin Do, Sangwon Ryu, Gary Lee	N/A	N/A
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis	Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Johnson	N/A	N/A
ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models	Fu Zhang, Yifan Ding, Jingwei Cheng	N/A	N/A
LM2: A Simple Society of Language Models Solves Complex Reasoning	Gurusha Juneja, Subhabrata Dutta, Tanmoy Chakraborty	N/A	N/A
Towards a Semantically-aware Surprisal Theory	Clara Meister, Mario Giulianelli, Tiago Pimentel	N/A	N/A
Multi-Level Information Retrieval Augmented Generation for Knowledge-based Visual Question Answering	Adjali Omar, Olivier Ferret, Sahar Ghannay, Hervé Le Borgne	N/A	N/A
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?	Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu	N/A	N/A
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP	Omer Goldman, Alon Jacovi, Aviv Slobodkin, Aviya Maimon, Ido Dagan, Reut Tsarfaty	N/A	N/A
BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training	Pavel Chizhov, Catherine Arnett, Elizaveta Korotkova, Ivan P. Yamshchikov	N/A	N/A
SEGMENT+: Long Text Processing with Short-Context Language Models	Wei Shi, Shuang Li, Kerun Yu, Jinglei Chen, Zujie Liang, Xinhui Wu, Yuxi Qian, Feng Wei, Bo Zheng, Jiaqing Liang, Jiangjie Chen, Yanghua Xiao	N/A	N/A
Explicit Memory Learning with Expectation Maximization	Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang	N/A	N/A
Learning to Generate Writing Feedback via Language Model Simulated Student Revisions	Inderjeet Jayakumar Nair, Jiaye Tan, Xiaotian Su, Anne Gere, Xu Wang, Lu Wang	N/A	N/A
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent	Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang	N/A	N/A
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions	Clement Neo, Shay B Cohen, Fazl Barez	N/A	N/A
Still Not Quite There! Assessing Large Language Models for Comorbid Mental Health Diagnosis	Amey Hengle, Atharva Kulkarni, Shantanu Deepak Patankar, Rashmi Gupta	N/A	N/A
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning	Shaobo Cui, Zhijing Jin, Bernhard Schölkopf, Boi Faltings	N/A	N/A
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups	Răzvan-Alexandru Smădu, David-Gabriel ION, Dumitru-Clementin Cercel, Florin Pop, Mihaela-Claudia Cercel	N/A	N/A
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue	Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng	N/A	N/A
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!	Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, Tanmoy Chakraborty	N/A	N/A
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations	Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam .	N/A	N/A
**YesBut	Abhilash Nandy, Yash Agarwal, Ashish Patwa, Millon Madhur Das, Aman Bansal, ANKIT RAJ, Pawan Goyal, Niloy Ganguly	N/A	N/A
Scaling Cognitive Limits: Identifying Working Memory Limits in LLMs	Chunhui Zhang, Yiren Jian, Zhongyu Ouyang, Soroush Vosoughi	N/A	N/A
RAFT: Realistic Attacks to Fool Text Detectors	James Liyuan Wang, Ran Li, Junfeng Yang, Chengzhi Mao	N/A	N/A
LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks	Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro	N/A	N/A
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping	AJAY KUMAR JAISWAL, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella	N/A	N/A
LLM-based Code-Switched Text Generation for Grammatical Error Correction	Tom Potter, Zheng Yuan	N/A	N/A
Deciphering the Interplay of Parametric and Non-Parametric Memory in RAG Models	Mehrdad Farahani, Richard Johansson	N/A	N/A
On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning	Geewook Kim, Minjoon Seo	N/A	N/A
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities	Zihao He, Rebecca Dorn, Minh Duc Chu, Siyi Guo, Kristina Lerman	N/A	N/A
Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models	Eldar Kurtic, Amir Moeini, Dan Alistarh	N/A	N/A
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models	Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna	N/A	N/A
One Thousand and One Pairs: A “novel” challenge for long-context language models	Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, Mohit Iyyer	N/A	N/A
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation	Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung	N/A	N/A
Do LLMs learn a true syntactic universal?	John T. Hale, Miloš Stanojević	N/A	N/A
GDPO: Learning to Align Language Models with Diversity Using GFlowNets	Oh Joon Kwon, Daiki E. Matsunaga, Kee-Eung Kim	N/A	N/A
How Susceptible are Large Language Models to Ideological Manipulation?	Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman	N/A	N/A
Measuring Psychological Depth in Language Models	Fabrice Y Harel-Canada, Hanyu Zhou, Sreya Muppalla, Zeynep Senahan Yildiz, Miryung Kim, Nanyun Peng, Amit Sahai	N/A	N/A
Media Attitude Detection via Framing Analysis with Events and their Relations	Jin Zhao, Jingxuan Tu, Han Du, Nianwen Xue	N/A	N/A
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data	Yang Ba, Michelle V Mancenido, Rong Pan	N/A	N/A
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations	Sagi Shaier, Ari Kobren, Philip V. Ogren	N/A	N/A
Granular Privacy Control for Geolocation with Vision Language Models	Ethan Mendes, Yang Chen, James Hays, Sauvik Das, Wei Xu, Alan Ritter	N/A	N/A
MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain	Chao Jiang, Wei Xu	N/A	N/A
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification	Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang	N/A	N/A
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization	Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao	N/A	N/A
StorySpark: Expert-Annotated QA Pairs with Real-World Knowledge for Children Storytelling	Jiaju Chen, Yuxuan Lu, Shao Zhang, Bingsheng Yao, Yuanzhe Dong, Ying Xu, Yunyao Li, Qianwen Wang, Dakuo Wang, Yuling Sun	N/A	N/A
MedCoT: Medical Chain of Thought via Hierarchical Expert	Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, Zuozhu Liu	N/A	N/A
Varying Sentence Representations via Condition-Specified Routers	Ziyong Lin, Quansen Wang, Zixia Jia, Zilong Zheng	N/A	N/A
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues	Jiao Ou, jiayu wu, Che Liu, Fuzheng Zhang, Di ZHANG, Kun Gai	N/A	N/A
Information Flow Routes: Automatically Interpreting Language Models at Scale	Javier Ferrando, Elena Voita	N/A	N/A
A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models	Houquan Zhou, Zhenghua Li, Bo Zhang, Chen Li, Shaopeng Lai, Ji Zhang, Fei Huang, Min Zhang	N/A	N/A
Low-rank Subspace for Binding in Large Language Models	Qin Dai, Benjamin Heinzerling, Kentaro Inui	N/A	N/A
CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference	Erxin Yu, Jing Li, Ming Liao, Siqi Wang, GAO Zuchen, Fei Mi, Lanqing HONG	N/A	N/A
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures	Tobias Schimanski, Jingwei Ni, Roberto Spacey Martín, Nicola Ranger, Markus Leippold	N/A	N/A
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs	LIU Ran, Zhongzhou Liu, Xiaoli Li, Yuan Fang	N/A	N/A
Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness	Shixuan Ma, Quan Wang	N/A	N/A
Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection	Zhanpeng Chen, Zhihong Zhu, Xianwei Zhuang, Zhiqi Huang, Yuexian Zou	N/A	N/A
From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking	Siyuan Wang, Zhuohan Long, Zhihao Fan, zhongyu wei	N/A	N/A
Symbolic Working Memory Enhances Language Models for Complex Rule Application	Siyuan Wang, zhongyu wei, Yejin Choi, Xiang Ren	N/A	N/A
LLoCO: Learning Long Contexts Offline	Sijun Tan, Xiuyu Li, Shishir G Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Popa	N/A	N/A
Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration	Xin Mao, Feng-Lin Li, Huimin Xu, Wei Zhang, WANG CHEN, Anh Tuan Luu	N/A	N/A
Mentor-KD: Making Small Language Models Better Multi-step Reasoners	Hojae Lee, Junho Kim, SangKeun Lee	N/A	N/A
Are Large Language Models Capable of Generating Human-Level Narratives?	Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng	N/A	N/A
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs	Yerin Hwang, Yongil Kim, Yunah Jang, Jeesoo Bang, Hyunkyung Bae, Kyomin Jung	N/A	N/A
Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction	Haohui Lu, Usman Naseem	N/A	N/A
Searching for Best Practices in Retrieval-Augmented Generation	Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang	N/A	N/A
Moral Foundations of Large Language Models	Marwa Abdulhai, Gregory Serapio-García, Clement CREPY, Daria Valter, John Canny, Natasha Jaques	N/A	N/A
The Zeno’s Paradox of ‘Low-Resource’ Languages	Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman, Thamar Solorio, Monojit Choudhury	N/A	N/A
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization	Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md Shad Akhtar	N/A	N/A
Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition	Pritika Ramu, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan	N/A	N/A
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment	Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima	N/A	N/A
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging	Deyuan Liu, Zhanyue Qin, Hairu Wang, Zhao Yang, Zecheng Wang, Fangying Rong, Qingbin Liu, Yanchao Hao, Bo Li, Xi Chen, Cunhang Fan, Zhao Lv, Dianhui Chu, Zhiying Tu, Dianbo Sui	N/A	N/A
Embedded Named Entity Recognition using Probing Classifiers	Nicholas Popovic, Michael Färber	N/A	N/A
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training	Zhou Zhang, Dongzeng Tan, Jiaan Wang, Yilong Chen, Jiarong Xu	N/A	N/A
Data Contamination Can Cross Language Barriers	Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang	N/A	N/A
Automated Essay Scoring: A Reflection on the State of the Art	Shengjie Li, Vincent Ng	N/A	N/A
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate	Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Shuming Shi, Zhaopeng Tu	N/A	N/A
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs	Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
CURE: Context- and Uncertainty-Aware Mental Disorder Detection	Migyeong Kang, goun choi, Hyolim Jeon, Ji hyun An, Daejin Choi, Jinyoung Han	N/A	N/A
PepRec: Progressive Enhancement of Prompting for Recommendation	Yakun Yu, Shi-ang Qi, Baochun Li, Di Niu	N/A	N/A
In-Context Compositional Generalization for Large Vision-Language Models	Chuanhao Li, Chenchen Jing, Zhen Li, Mingliang Zhai, Yuwei Wu, Yunde Jia	N/A	N/A
Improving Zero-shot LLM Re-Ranker with Risk Minimization	Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu	N/A	N/A
Game on Tree: Visual Hallucination Mitigation via Coarse-to-Fine View Tree and Game Theory	Xianwei Zhuang, Zhihong Zhu, Zhanpeng Chen, Yuxin Xie, Liming Liang, Yuexian Zou	N/A	N/A
Label Confidence Weighted Learning for Target-level Sentence Simplification	Jingshen Zhang, Xin Ying Qiu	N/A	N/A
Quantum Recurrent Architectures for Text Classification	Wenduan Xu, Stephen Clark, Douglas Brown, Gabriel Matos, Konstantinos Meichanetzidis	N/A	N/A
Tree of Problems: Improving structured problem solving with compositionality	Armel Randy Zebaze, Benoît Sagot, Rachel Bawden	N/A	N/A
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study	Beatrice Savoldi, Sara Papi, Matteo Negri, Ana Guerberof-Arenas, Luisa Bentivogli	N/A	N/A
Seg2Act: Global Context-aware Action Generation for Document Logical Structuring	Zichao Li, Shaojie He, Meng Liao, Xuanang Chen, Yaojie Lu, Hongyu Lin, Yanxiong Lu, Xianpei Han, Le Sun	N/A	N/A
Is C4 Dataset Enough for Pruning? An Investigation of Calibration Data for LLM Pruning	Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, AJAY KUMAR JAISWAL, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu	N/A	N/A
Revisiting the Robustness of Watermarking to Paraphrasing Attacks	Saksham Rastogi, Danish Pruthi	N/A	N/A
A Survey of Ontology Expansion for Conversational Understanding	Jinggui Liang, Yuxia Wu, Yuan Fang, Hao Fei, Lizi Liao	N/A	N/A
Calibrating Language Models with Adaptive Temperature Scaling	Johnathan Xie, Annie S Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn	N/A	N/A
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?	Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo	N/A	N/A
Why do objects have many names? A study on word informativeness in language use and lexical systems.	Eleonora Gualdoni, Gemma Boleda	N/A	N/A
Dual-Space Knowledge Distillation for Large Language Models	Songming Zhang, Xue Zhang, Zengkui Sun, Yufeng Chen, Jinan Xu	N/A	N/A
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition	Elena Merdjanovska, Ansar Aynetdinov, Alan Akbik	N/A	N/A
On the Universal Truthfulness Hyperplane Inside LLMs	Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He	N/A	N/A
PairDistill: Pairwise Relevance Distillation for Dense Retrieval	Chao-Wei Huang, Yun-Nung Chen	N/A	N/A
User Inference Attacks on Large Language Models	Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu	N/A	N/A
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy	YongKang Liu, Yiqun Zhang, Qian Li, Tong Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schuetze	N/A	N/A
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models	Yufang Liu, Tao Ji, Changzhi Sun, Yuanbin Wu, Aimin Zhou	N/A	N/A
Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation	Matthew Raffel, Victor Agostinelli, Lizhong Chen	N/A	N/A
ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback	Qinzhuo Wu, Wei Liu, Jian Luan, Bin Wang	N/A	N/A
Please note that I’m just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification	Esra Dönmez, Thang Vu, Agnieszka Falenska	N/A	N/A
How to Compute the Probability of a Word	Tiago Pimentel, Clara Meister	N/A	N/A
A linguistically-motivated evaluation methodology for unraveling model’s abilities in reading comprehension tasks	Elie Antoine, Frederic Bechet, Géraldine Damnati, Philippe Langlais	N/A	N/A
GuardBench: A Large-Scale Benchmark for Guardrail Models	Elias Bassani, Ignacio Sanchez	N/A	N/A
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering	Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu	N/A	N/A
Language models and brains align due to more than next-word prediction and word-level information	Gabriele Merlin, Mariya Toneva	N/A	N/A
LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement	Zijin Feng, Luyang Lin, Lingzhi Wang, Hong Cheng, Kam-Fai Wong	N/A	N/A
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures	Ekaterina Sviridova, Anar Yeginbergen, Ainara Estarrona, Elena Cabrio, Serena Villata, Rodrigo Agerri	N/A	N/A
A Simple and Effective $L_2$ Norm-Based Strategy for KV Cache Compression	Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini	N/A	N/A
GOME: Grounding-based Metaphor Binding With Conceptual Elaboration For Figurative Language Illustration	Linhao Zhang, Jintao Liu, Li Jin, Hao Wang, kaiwen wei, Guangluan Xu	N/A	N/A
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation	Aida Mostafazadeh Davani, Mark Diaz, Dylan K Baker, Vinodkumar Prabhakaran	N/A	N/A
PALM: Few-Shot Prompt Learning for Audio Language Models	Asif Hanif, Maha Tufail Agro, Mohammad Areeb Qazi, Hanan Aldarmaki	N/A	N/A
Annotator-Centric Active Learning for Subjective NLP Tasks	Michiel van der Meer, Neele Falk, Pradeep K. Murukannaiah, Enrico Liscio	N/A	N/A
Lost in Tokenization: How to Measure Word Surprisal From LM Token Probabilities	Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell, Mario Giulianelli	N/A	N/A
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation	Anas Himmi, Guillaume Staerman, Marine Picot, Pierre Colombo, Nuno M Guerreiro	N/A	N/A
Jailbreaking LLMs with Arabic Transliteration and Arabizi	Mansour Al Ghanim, saleh almohaimeed, Mengxin Zheng, Yan Solihin, Qian Lou	N/A	N/A
Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models	Zara Siddique, Liam Turner, Luis Espinosa-Anke	N/A	N/A
Instruction Matters, a Simple yet Effective Task Selection Approach in Instruction Tuning for Specific Tasks	Changho Lee, Janghoon Han, Seonghyeon Ye, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae	N/A	N/A
Recurrent Alignment with Hard Attention for Hierarchical Text Rating	Chenxi Lin, Ren Jiayu, Guoxiu He, Zhuoren Jiang, Haiyan yu, Xiaomin Zhu	N/A	N/A
CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification	Junhui He, Shangyu Wu, Weidong Wen, Chun Jason Xue, Qingan Li	N/A	N/A
Semformer: Transformer Language Models with Semantic Planning	Yongjing Yin, Junran Ding, Kai Song, Yue Zhang	N/A	N/A
DocCGen: Document-based Controlled Code Generation	Sameer Pimparkhede, Mehant Kammakomati, Srikanth G. Tamilselvam, Prince Kumar, Ashok Pon Kumar, Pushpak Bhattacharyya	N/A	N/A
Semantics and Sentiment: Cross-lingual Variations in Emoji Use	Giulio Zhou, Sydelle de Souza, Ella Markham, Oghenetekevwe Kwakpovwe, Sumin Zhao	N/A	N/A
The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations	Daniel Akkerman, Phong Le, Raquel G. Alhama	N/A	N/A
Transformers are Multi-State RNNs	Matanel Oren, Michael Hassid, Nir Yarden, Yossi Adi, Roy Schwartz	N/A	N/A
Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization	Niyati Bafna, Kenton Murray, David Yarowsky	N/A	N/A
Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion	Kerem Zaman, Leshem Choshen, Shashank Srivastava	N/A	N/A
Collective Critics for Creative Story Generation	Minwook Bae, Hyounghun Kim	N/A	N/A
Surprisal Curves of Discourse	Eleftheria Tsipidi, Franz Nowak, Ryan Cotterell, Ethan Wilcox, Mario Giulianelli, Alex Warstadt	N/A	N/A
Model-based Preference Optimization in Abstractive Summarization without Human Feedback	Jaepill choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim	N/A	N/A
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?	Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
NeuroTrialNER: An Annotated Corpus for Neurological Diseases and Therapies in Clinical Trial Registries	Simona Emilova Doneva, Tilia Ellendorff, Jean-Philippe Goldman, Amelia Elaine Cannon, Gerold Schneider, Beate Sick, Benjamin Victor Ineichen	N/A	N/A
Do Explanations Help or Hurt? Saliency Maps vs Natural Language Explanations in a Clinical Decision-Support Setting	Maxime Guillaume Kayser, Bayar Menzat, Cornelius Emde, Bogdan Alexandru Bercean, Alex Novak, Abdalá Trinidad Espinosa Morgado, Bartlomiej Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu	N/A	N/A
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering	WEIHE ZHAI, Arkaitz Zubiaga, Bingquan Liu, Chengjie Sun, Yalong Zhao	N/A	N/A
Generation with Dynamic Vocabulary	Yanting Liu, Tao Ji, Yuanbin Wu, Xiaoling Wang, Changzhi Sun	N/A	N/A
Argument Relation Classification through Discourse Markers and Adversarial Training	Michele Luca Contalbo, Francesco Guerra, Matteo Paganelli	N/A	N/A
Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection	Abhishek Purushothama, Adam Wiemerslage, Katharina von der Wense	N/A	N/A
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval	Dae Yon Hwang, Bilal Taha, Harshit Pande, Yaroslav Nechaev	N/A	N/A
Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language Models	Po-Heng Chen, Yun-Nung Chen	N/A	N/A
Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation	Ruiyu Xiao, Lei Wu, Yuhang Gou, Weinan Zhang, Ting Liu	N/A	N/A
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning	Kate Sanders, Nathaniel Weir, Benjamin Van Durme	N/A	N/A
Unsupervised Extraction of Dialogue Policies from Conversations	Makesh Narsimhan Sreedhar, Traian Rebedea, Christopher Parisien	N/A	N/A
GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization	Onkar Kishor Susladkar, Gayatri Sudhir Deshmukh, Vandan Gorade, Sparsh Mittal	N/A	N/A
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality	Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim	N/A	N/A
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture	Wenyan Li, Crystina Zhang, Jiaang Li, Qiwei Peng, Raphael Tang, Li Zhou, Weijia Zhang, Guimin Hu, Yifei Yuan, Anders Søgaard, Daniel Hershcovich, Desmond Elliott	N/A	N/A
A Two-Step Approach for Data-Efficient French Pronunciation Learning	Hoyeon Lee, Hyeeun Jang, JONGHWAN KIM, Jaemin Kim	N/A	N/A
Exploring Intra and Inter-language Consistency in Embeddings with ICA	Rongzhi Li, Takeru Matsuda, Hitomi Yanaka	N/A	N/A
DetoxLLM: A Framework for Detoxification with Explanations	Md Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan	N/A	N/A
Building a Multi-Platform, BERT Classifier for Detecting Connective Language	Josephine Lukito, Bin Chen, Gina M. Masullo, Natalie Jomini Stroud	N/A	N/A
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models	Yash Akhauri, Ahmed F AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M Rush, Safeen Huda, Mohamed S Abdelfattah	N/A	N/A
Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health	Krishnapriya Vishnubhotla, Daniela Teodorescu, Mallory J Feldman, Kristen Lindquist, Saif M. Mohammad	N/A	N/A
BLSP-Emo: Towards Empathetic Large Speech-Language Models	Chen Wang, Minpeng Liao, Zhongqiang Huang, Junhong Wu, Chengqing Zong, Jiajun Zhang	N/A	N/A
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation	Abhishek Divekar, Greg Durrett	N/A	N/A
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model	Wenqi Zhang, Zhenglin Cheng, Yuanyu He, Mengna Wang, Yongliang Shen, Zeqi Tan, Guiyang Hou, Mingqian He, Yanna Ma, Weiming Lu, Yueting Zhuang	N/A	N/A
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts	Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty	N/A	N/A
DEM: Distribution Edited Model for Training with Mixed Data Distributions	Dhananjay Ram, Aditya Rawal, Momchil Hardalov, Nikolaos Pappas, Sheng Zha	N/A	N/A
Altogether: Image Captioning via Re-aligning Alt-text	Hu Xu, Po-Yao Huang, Xiaoqing Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer	N/A	N/A
VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp	Seo Yeon Park, Cornelia Caragea	N/A	N/A
CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans	Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Ray Mooney	N/A	N/A
Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics	Théo Gigant, Camille Guinaudeau, Marc decombas, Frederic Dufaux	N/A	N/A
An Empirical Analysis of the Writing Styles of Persona-Assigned LLMs	Manuj Malik, Jing Jiang, Kian Ming A. Chai	N/A	N/A
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks	Amit Parekh, Nikolas Vitsakis, Alessandro Suglia, Ioannis Konstas	N/A	N/A
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning	Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev	N/A	N/A
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing	Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang	N/A	N/A
Sequential API Function Calling Using GraphQL Schema	Avirup Saha, Lakshmi Mandal, Balaji Ganesan, Sambit Ghosh, Renuka Sindhgatta, Carlos Eberhardt, Dan Debrunner, Sameep Mehta	N/A	N/A
The Illusion of Competence: Evaluating the Effect of Explanations on Users’ Mental Models of Visual Question Answering Systems	Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier, Sina Zarrieß	N/A	N/A
Re-Evaluating Evaluation for Multilingual Summarization	Jessica Zosa Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Minghao Wu, Carsten Eickhoff, Stella Biderman, Ellie Pavlick	N/A	N/A
Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding	Heng zhao, Zhao Yinjie, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou	N/A	N/A
A Fast and Sound Tagging Method for Discontinuous Named-Entity Recognition	Caio Filippo Corro	N/A	N/A
Factuality of Large Language Models in the Year 2024	Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Fei Liu, Georgi Nenkov Georgiev, Rocktim Jyoti Das, Preslav Nakov	N/A	N/A
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation	Youngwoo Kim, Razieh Rahimi, James Allan	N/A	N/A
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse	Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko	N/A	N/A
DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers	Rakesh R Menon, Shashank Srivastava	N/A	N/A
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning	Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha	N/A	N/A
Scope-enhanced Compositional Semantic Parsing for DRT	Xiulin Yang, Jonas Groschwitz, Alexander Koller, Johan Bos	N/A	N/A
The Generation Gap: Exploring Age Bias Underlying in the Value Systems of Large Language Models	Siyang Liu, Trisha Maturi, Bowen Yi, Siqi Shen, Rada Mihalcea	N/A	N/A
TempoFormer: A Transformer for Temporally-aware Representations in Change Detection	Talia Tseriotou, Adam Tsakalidis, Maria Liakata	N/A	N/A
Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?	Guillermo Marco, Julio Gonzalo, M.Teresa Mateo-Girona, Ramón del Castillo Santos	N/A	N/A
Evaluating Diversity in Automatic Poetry Generation	Yanran Chen, Hannes Gröner, Sina Zarrieß, Steffen Eger	N/A	N/A
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models	Yi Zhou, Danushka Bollegala, Jose Camacho-Collados	N/A	N/A
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection	Camilla Casula, Sebastiano Vecellio Salto, Alan Ramponi, Sara Tonelli	N/A	N/A
Grounding Language in Multi-Perspective Referential Communication	Zineng Tang, Lingjun Mao, Alane Suhr	N/A	N/A
Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval	Yifan Qiao, Parker Carlson, Shanxiu He, Yingrui Yang, Tao Yang	N/A	N/A
Error Analysis of Multilingual Language Models in Machine Translation for Low-resource Languages: A Case Study of Amharic to English Bi-directional Machine Translation	Hizkiel Mitiku Alemayehu, Hamada M Zahera, Axel-Cyrille Ngonga Ngomo	N/A	N/A
MIPD: Exploring Manipulation and Intention In a Novel Corpus of Polish Disinformation	Arkadiusz Modzelewski, Giovanni Da San Martino, Pavel Savov, Magdalena Anna Wilczyńska, Adam Wierzbicki	N/A	N/A
Unsupervised Discrete Representations of American Sign Language	Artem Abzaliev, Rada Mihalcea	N/A	N/A
Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models	Chani Jung, Dongkwan Kim, Jiho Jin, Jiseon Kim, Yeon Seonwoo, Yejin Choi, Alice Oh, Hyunwoo Kim	N/A	N/A
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs	Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, Seunghyun Yoon, Ryan A. Rossi, Trung Bui	N/A	N/A
Jump Starting Bandits with LLM-Generated Prior Knowledge	Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson	N/A	N/A
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?	Fırat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çağatay Yıldız	N/A	N/A
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation	Ruotong Pan, Boxi Cao, Hongyu Lin, Xianpei Han, Jia Zheng, Sirui Wang, Xunliang Cai, Le Sun	N/A	N/A
Virtual Personas for Language Models via an Anthology of Backstories	Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David Chan	N/A	N/A
Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?	Nemika Tyagi, Mihir Parmar, Mohith Kulkarni, Aswin RRV, Nisarg Patel, Mutsumi Nakamura, Arindam Mitra, Chitta Baral	N/A	N/A
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies	Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun	N/A	N/A
The Empirical Variability of Narrative Perceptions of Social Media Texts	Joel Mire, Maria Antoniak, Elliott Ash, Andrew Piper, Maarten Sap	N/A	N/A
Which questions should I answer? Salience Prediction of Inquisitive Questions	Yating Wu, Ritika Rajesh Mangla, Alex Dimakis, Greg Durrett, Junyi Jessy Li	N/A	N/A
Revealing Personality Traits: A New Benchmark Dataset for Explainable Personality Recognition on Dialogues	Lei Sun, Jinming Zhao, Qin Jin	N/A	N/A
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech	Guan-Ting Lin, Wei Ping Huang, Hung-yi Lee	N/A	N/A
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities	Sachit Menon, Richard Zemel, Carl Vondrick	N/A	N/A
CodeJudge: Evaluating Code Generation with Large Language Models	Weixi Tong, Tianyi Zhang	N/A	N/A
Self-Training Large Language and Vision Assistant for Medical	Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, ZHIQIANG TAO	N/A	N/A
SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization	Prakamya Mishra, Zonghai Yao, Parth Vashisht, Feiyun Ouyang, Beining Wang, Vidhi Dhaval Mody, hong yu	N/A	N/A
Defending Jailbreak Prompts via In-Context Adversarial Game	Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang	N/A	N/A
Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter	Kateryna Kasianenko, Shima Khanehzar, Stephen Wan, Ehsan Dehghan, Axel Bruns	N/A	N/A
Multilingual Topic Classification in X: Dataset and Analysis	Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Jose Camacho-Collados	N/A	N/A
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models	Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong	N/A	N/A
Updating CLIP to Prefer Descriptions Over Captions	Amir Zur, Elisa Kreiss, Karel D’Oosterlinck, Christopher Potts, Atticus Geiger	N/A	N/A
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research	Sian-Yao Huang, Cheng-Lin Yang, Che-Yu Lin, Chun-Ying Huang	N/A	N/A
Back to School: Translation Using Grammar Books	Jonathan Hus, Antonios Anastasopoulos	N/A	N/A
VIEWS: Entity-Aware News Video Captioning	Hammad Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, feng han, Yukun Zhu, Xuande Feng, Kevin Zhang, Jialu Liu, Shih-Fu Chang	N/A	N/A
Towards Aligning Language Models with Textual Feedback	Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan	N/A	N/A
ATPO: Automatic Tree-Structured Prompt Optimization	Sheng Yang, Yurong Wu, Yan Gao, Zineng Zhou, Xiaodi Sun, Bin Benjamin Zhu, Jian-Guang Lou, Zhiming Ding, Anbang Hu, Yuan Fang, Yunsong Li, Junyan Chen, Linjun Yang	N/A	N/A
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators	Xinglin Lyu, Junhui Li, Yanqing Zhao, Min Zhang, Daimeng Wei, shimin tao, Hao Yang, Min Zhang	N/A	N/A
DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection	Devleena Das, Vivek Khetan	N/A	N/A
Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models	Yuko Nakagi, Takuya Matsuyama, Naoko Koide-Majima, Hiroto Q. Yamaguchi, Rieko Kubo, Shinji Nishimoto, Yu Takagi	N/A	N/A
“They are uncultured”: Unveiling Covert Harms and Social Threats in LLM Generated Conversations	Preetam Prabhu Srikar Dammu, Hayoung Jung, Anjali Singh, Monojit Choudhury, Tanu Mitra	N/A	N/A
Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models	Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen	N/A	N/A
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?	Gabriel Roccabruna, Massimo Rizzoli, giuseppe riccardi	N/A	N/A
Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties	Keunwoo Peter Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, Joyce Chai	N/A	N/A
Framework for Robust and Scalable Text Watermarking	Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low	N/A	N/A
MASIVE: Open-Ended Affective State Identification in English and Spanish	Nicholas Deas, Elsbeth Turcan, Ivan Ernesto Perez Mejia, Kathleen McKeown	N/A	N/A
You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions	Tasnim Kabir, Yoo Yeon Sung, Saptarashmi Bandyopadhyay, Hao Zou, Abhranil Chandra, Jordan Lee Boyd-Graber	N/A	N/A
AlphaExpert: Assigning LoRA Experts Based on Layer Training Quality	Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi	N/A	N/A
Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling	Irfan Robbani, Paul Reisert, Surawat Pothong, Naoya Inoue, Camélia Guerraoui, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui	N/A	N/A
Advancing Social Intelligence in AI Agents: Technical Challenges and Open Question	Leena Mathur, Paul Pu Liang, Louis-Philippe Morency	N/A	N/A
RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models	Ziyi Kou, Shichao Pei, Meng Jiang, Xiangliang Zhang	N/A	N/A
Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese	Rifki Afina Putri, Faiz Ghifari Haznitrama, Dea Adhista, Alice Oh	N/A	N/A
Learnability of Indirect Evidence in Language Models	Miyu Oba, Yohei Oseki, Akiyo Fukatsu, Akari Haga, Hiroki Ouchi, Taro Watanabe, Saku Sugawara	N/A	N/A
Do LLMs Know to Respect Copyright Notice?	Jialiang Xu, SHENGLAN LI, Zhaozhuo Xu, Denghui Zhang	N/A	N/A
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding	Hanchi Sun, Tianyi Zhou, Xun Chen, Lichao Sun	N/A	N/A
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding	YeonJoon Jung, Jaeseong Lee, Seungtaek Choi, Dohyeon Lee, Minsoo Kim, seung-won hwang	N/A	N/A
Rethinking the Role of Proxy Rewards in Language Model Alignment	Sungdong Kim, Minjoon Seo	N/A	N/A
Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant	Abhirama Subramanyam Penamakuri, Anand Mishra	N/A	N/A
How Good is my MT Metric? A Framework for the Interpretation of Metric Assessments	Stefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, Edoardo Barba, Roberto Navigli	N/A	N/A
IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning	Soeun Lee, Si-Woo Kim, Taewhan Kim, Dong-Jin Kim	N/A	N/A
SPREADSHEETLLM: Encoding Spreadsheets for Large Language Models	Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang	N/A	N/A
Let’s discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality	Rositsa V Ivanova, Thomas Huber, Christina Niklaus	N/A	N/A
Automatic sentence segmentation of clinical record narratives in real-world data	Dongfang Xu, Davy Weissenbacher, Karen O’Connor, Siddharth Rawal, Graciela Gonzalez Hernandez	N/A	N/A
One-to-Many Communication and Compositionality in Emergent Communication	Heeyoung Lee	N/A	N/A
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities	Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang	N/A	N/A
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?	Alexander Arno Weber, Klaudia Thellmann, Jan Ebert, Nicolas Flores-Herr, Jens Lehmann, Michael Fromm, Mehdi Ali	N/A	N/A
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models	Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral	N/A	N/A
Contrastive Classification via Linear Layer Extrapolation	Mayukh Sharma, Sean O’Brien, Julian McAuley	N/A	N/A
Task Oriented In-Domain Data Augmentation	Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao	N/A	N/A
SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers	Shruti Singh, Nandan Sarkar, Arman Cohan	N/A	N/A
Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules	Zhuocheng Gong, Ang Lv, Jian Guan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan	N/A	N/A
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages	Youssef Mohamed, Runjia Li, Ibrahim Said Ahmad, Kilichbek Haydarov, Philip Torr, Kenneth Church, Mohamed Elhoseiny	N/A	N/A
PREDICT: Multi-Agent-based Debate Simulation for Generalized Hate Speech Detection	Someen Park, Jaehoon Kim, Seungwan Jin, Sohyun Park, Kyungsik Han	N/A	N/A
TokenVerse: Unifying Speech and NLP Tasks via Transducer-based ASR	Shashi Kumar, Srikanth Madikeri, Juan Pablo Zuluaga Gomez, Iuliia Thorbecke, Esaú VILLATORO-TELLO, Sergio Burdisso, Petr Motlicek, Karthik Pandia D S, Aravind Ganapathiraju	N/A	N/A
ApiQ: Finetuning of 2-Bit Quantized Large Language Model	Baohao Liao, Christian Herold, Shahram Khadivi, Christof Monz	N/A	N/A
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk	Zhiyuan Zeng, Qipeng Guo, Xiaoran Liu, Zhangyue Yin, Wentao Shu, Mianqiu Huang, Bo Wang, Yunhua Zhou, Linlin Li, Qun Liu, Xipeng Qiu	N/A	N/A
A Morphology-Based Investigation of Positional Encodings	Poulami Ghosh, Shikhar Vashishth, Raj Dabre, Pushpak Bhattacharyya	N/A	N/A
I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining	Vahid Ghafouri, Jose M. Such, Guillermo Suarez-Tangil	N/A	N/A
BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability	Mamta Mamta, Rishikant Chigrupaatii, Asif Ekbal	N/A	N/A
ArMeme: Propagandistic Content in Arabic Memes	Firoj Alam, Abul Hasnat, Fatema Ahmad, Md. Arid Hasan, Maram Hasanain	N/A	N/A
Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts	Arianna Muti, Federico Ruggeri, Khalid Al Khatib, Alberto Barrón-Cedeño, Tommaso Caselli	N/A	N/A
Thoughts to Target: Enhance Planning for Target-driven Conversation	Zhonghua Zheng, Lizi Liao, Yang Deng, Ee-Peng Lim, Minlie Huang, Liqiang Nie	N/A	N/A
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging	Clara Na, Ian Magnusson, Ananya Harsh Jha, Tom Sherborne, Emma Strubell, Jesse Dodge, Pradeep Dasigi	N/A	N/A
Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation	Zhe Cao, Zhi Qu, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction: Value Also Matters	Zhiyu Guo, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation	Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim	N/A	N/A
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers	Tuc Van Nguyen, Thai Le	N/A	N/A
Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4	Woojin Kim, Sungeun Hahm, Jaejin Lee	N/A	N/A
Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game	Prisha Samdarshi, Mariam Mustafa, Anushka Kulkarni, Raven Rothkopf, Tuhin Chakrabarty, Smaranda Muresan	N/A	N/A
GottBERT: a pure German Language Model	Raphael Scheible, Johann Frei, Fabian Thomczyk, Henry He, Patric Tippmann, Jochen Knaus, Victor Jaravine, Frank Kramer, Martin Boeker	N/A	N/A
Computational Meme Understanding: A Survey	Khoi P. N. Nguyen, Vincent Ng	N/A	N/A
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage	Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis	N/A	N/A
Retrieval-enriched zero-shot image classification in low-resource domains	Nicola Dall’Asen, Yiming Wang, Enrico Fini, Elisa Ricci	N/A	N/A
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization	Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, hufeng, Yu Su, Qi Liu	N/A	N/A
Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps	Giuseppe Attanasio, Beatrice Savoldi, Dennis Fucci, Dirk Hovy	N/A	N/A
Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing	Baihe Huang, Hiteshi Sharma, Yi Mao	N/A	N/A
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion	Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Bill Wu, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist	N/A	N/A
Show and Guide: Instructional-Plan Grounded Vision and Language Model	Diogo Glória-Silva, David Semedo, Joao Magalhaes	N/A	N/A
Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents	Bandhav Veluri, Benjamin N Peloquin, Bokai YU, Hongyu Gong, Shyamnath Gollakota	N/A	N/A
QuBE: Question-based Belief Enhancement for Agentic LLM	Minsoo Kim, Jongyoon Kim, Jihyuk Kim, seung-won hwang	N/A	N/A
COMPACT: Compressing Retrieved Documents Actively for Question Answering	Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, Minbyul Jeong, Jaewoo Kang	N/A	N/A
An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models	Fatemeh Shiri, Xiao-Yu Guo, Mona Golestan Far, Xin Yu, Reza Haf, Yuan-Fang Li	N/A	N/A
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models	Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Sricharan Kumar	N/A	N/A
Local Contrastive Editing of Gender Stereotypes	Marlene Lutz, Rochelle Choenni, Markus Strohmaier, Anne Lauscher	N/A	N/A
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP	Stefan Larson, Nicole Cornehl Lima, Santiago Pedroza Diaz, Amogh Manoj Joshi, Siddharth Betala, Jamiu Tunde Suleiman, Yash Mathur, Kaushal Kumar Prajapati, Ramla Alakraa, Junjie Shen, Temi Okotore, Kevin Leach	N/A	N/A
RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages	Avik Dutta, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le	N/A	N/A
STAR: SocioTechnical Approach to Red Teaming Language Models	Laura Weidinger, John F J Mellor, Bernat Guillén Pegueroles, Nahema Marchal, Ravin Kumar, Kristian Lum, Canfer Akbulut, Mark Diaz, A. Stevie Bergman, Mikel D. Rodriguez, Verena Rieser, William Isaac	N/A	N/A
Do great minds think alike? Investigating Human-AI Complementarity for Question Answering	Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan Lee Boyd-Graber	N/A	N/A
Memory-Efficient Fine-Tuning of Transformers via Token Selection	Antoine Simoulin, Namyong Park, Xiaoyi Liu, Grey Yang	N/A	N/A
Unveiling the mystery of visual attributes of concrete and abstract concepts: Variability, nearest neighbors, and challenging categories	Tarun Tater, Sabine Schulte im Walde, Diego Frassinelli	N/A	N/A
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark	Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko	N/A	N/A
Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner	Shudong Liu, Zhaocong Li, Xuebo Liu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao, Min zhang	N/A	N/A
Preference-Guided Reflective Sampling for Aligning Language Models	Hai Ye, Hwee Tou Ng	N/A	N/A
Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP	Pieter Delobelle, Giuseppe Attanasio, Debora Nozza, Su Lin Blodgett, Zeerak Talat	N/A	N/A
Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs	Xuhui Zhou, Zhe Su, Tiwalayo Eisape, Hyunwoo Kim, Maarten Sap	N/A	N/A
A Simple LLM Framework for Long-Range Video Question-Answering	Ce Zhang, Taixi Lu, Md Mohaiminul Islam, Ziyang Wang, Shoubin Yu, Mohit Bansal, Gedas Bertasius	N/A	N/A
Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing	Akshat Gupta, Sidharth Baskaran, Gopala Anumanchipalli	N/A	N/A
Casablanca: Data and Models for Multidialectal Arabic Speech Recognition	Bashar Talafha, Karima Kadaoui, Samar Mohamed Magdy, Mariem Habiboullah, Chafei Mohamed Chafei, Ahmed Oumar El-Shangiti, Hiba Zayed, Mohamedou cheikh tourad, Rahaf Alhamouri, Rwaa Assi, Aisha Alraeesi, Hour Mohamed, Fakhraddin Alwajih, Abdelrahman Mohamed, Abdellah EL MEKKI, El Moatez Billah Nagoudi, Benelhadj Djelloul Mama Saadia, Hamzah A. Alsayadi, Walid Al-Dhabyani, Sara Shatnawi, Yasir ECH-CHAMMAKHY, AMAL MAKOUAR, Yousra Berrachedi, Mustafa Jarrar, Shady Shehata, Ismail Berrada, Muhammad Abdul-Mageed	N/A	N/A
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations	Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria	N/A	N/A
Communicating with Speakers and Listeners of Different Pragmatic Levels	Kata Naszadi, Frans A Oliehoek, Christof Monz	N/A	N/A
RECANTFormer: Referring Expression Comprehension with Varying Numbers of Targets	Bhathiya Hemanthage, Hakan Bilen, Phil Bartie, Christian Dondrup, Oliver Lemon	N/A	N/A
Sprout: Green Generative AI with Carbon-Efficient LLM Inference	Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari	N/A	N/A
Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs	Alexander Spangher, Nanyun Peng, Sebastian Gehrmann, Mark Dredze	N/A	N/A
T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings	Björn Deiseroth, Manuel Brack, Samuel Weinbach, Patrick Schramowski, Kristian Kersting	N/A	N/A
SpeechQE: Estimating the Quality of Direct Speech Translation	HyoJung Han, Kevin Duh, Marine Carpuat	N/A	N/A
Assessing and Verifying Task Utility in LLM-Powered Applications	Negar Arabzadeh, Siqing Huo, Nikhil Mehta, Qingyun Wu, Chi Wang, Ahmed Hassan Awadallah, Charles L. A. Clarke, Julia Kiseleva	N/A	N/A
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models	Somanshu Singla, Zhen Wang, Tianyang Liu, Abdullah Ashfaq, Zhiting Hu, Eric P. Xing	N/A	N/A
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree	Harbani Jaggi, Kashyap Coimbatore Murali, Eve Fleisig, Erdem Biyik	N/A	N/A
Adversarial Text Generation using Large Language Models for Dementia Detection	Youxiang Zhu, Nana Lin, Kiran Sandilya Balivada, Daniel Haehn, Xiaohui Liang	N/A	N/A
xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics	Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger	N/A	N/A
The Greatest Good Benchmark: Measuring LLMs’ Alignment with Utilitarian Moral Dilemmas	Giovanni Franco Gabriel Marraffini, Andrés Cotton, Noe Fabian Hsueh, Juan Wisznia, Axel Fridman, Luciano Del Corro	N/A	N/A
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding	Jiali Cheng, Hadi Amiri	N/A	N/A
Style-Shifting Behaviour of the Manosphere on Reddit	Jai Aggarwal, Suzanne Stevenson	N/A	N/A
The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective	Yihan Ma, Xinyue Shen, Yixin Wu, Boyang Zhang, Michael Backes, Yang Zhang	N/A	N/A
Holistic Evaluation for Interleaved Text-and-Image Generation	Minqian Liu, Zhiyang Xu, Zihao Lin, Trevor Ashby, Joy Rimchala, Jiaxin Zhang, Lifu Huang	N/A	N/A
FOLIO: Natural Language Reasoning with First-Order Logic	SIMENG HAN, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander Fabbri, Wojciech Maciej Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev	N/A	N/A
The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?	Alexander Choi, Syeda Sabrina Akter, J.P. Singh, Antonios Anastasopoulos	N/A	N/A
Is Child-Directed Speech Effective Training Data for Language Models?	Steven Y. Feng, Noah Goodman, Michael Frank	N/A	N/A
RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference	Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao	N/A	N/A
HCEG: Improving the Abstraction Ability of Language Models with Hierarchical Conceptual Entailment Graphs	Juncai Li, Ru Li, Xiaoli Li, Qinghua Chai, Jeff Z. Pan	N/A	N/A
M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought	Gitanjali Kumari, Kirtan Jain, Asif Ekbal	N/A	N/A
GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation	Govind Ramesh, Yao Dou, Wei Xu	N/A	N/A
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation	Kiseung Kim, Jay-Yoon Lee	N/A	N/A
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets	Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth	N/A	N/A
Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model	Mana Makinae, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text	Pritika Ramu, Aparna Garimella, Sambaran Bandyopadhyay	N/A	N/A
On the Fragility of Active Learners for Text Classification	Abhishek Ghose, Emma Thuong Nguyen	N/A	N/A
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers	Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang	N/A	N/A
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval	Jonghyun Song, Cheyon Jin, Wenlong Zhao, Jay-Yoon Lee	N/A	N/A
M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection	Chia-Wei Tang, Ting-Chih Chen, Alvi Md Ishmam, Kiet A. Nguyen, Kazi Sajeed Mehrab, Chris Thomas	N/A	N/A
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning	Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang	N/A	N/A
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records	Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang	N/A	N/A
SimLLM: Detecting Sentences Generated by Large Language Models Using Similarity between the Generation and its Re-generation	Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu	N/A	N/A
CELLO: Causal Evaluation of Large Vision-Language Models	Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu	N/A	N/A
Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair	Yusuke Sakai, Mana Makinae, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Training-free Deep Concept Injection Enables Language Models for Video Question Answering	Xudong Lin, Manling Li, Richard Zemel, Heng Ji, Shih-Fu Chang	N/A	N/A
MIBench: Evaluating Multimodal Large Language Models over Multiple Images	Haowei Liu, Xi Zhang, Haiyang Xu, Yaya Shi, Chaoya Jiang, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu	N/A	N/A
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering	Francesco Maria Molfese, Simone Conia, Riccardo Orlando, Roberto Navigli	N/A	N/A
ABLE: Personalized Disability Support with Politeness and Empathy Integration	Kshitij Mishra, Manisha Burja, Asif Ekbal	N/A	N/A
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models	Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, Sunghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo	N/A	N/A
Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code	Hyungjoo Chae, Taeyoon Kwon, Seungjun Moon, Yongho Song, Dongjin Kang, Kai Tzu-iunn Ong, Beong-woo Kwak, Seonghyeon Bae, seung-won hwang, Jinyoung Yeo	N/A	N/A
Improving Minimum Bayes Risk Decoding with Multi-Prompt	David Heineman, Yao Dou, Wei Xu	N/A	N/A
Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework	gopendra Vikram singh, Sai Vardhan Vemulapalli, Mauajama Firdaus, Asif Ekbal	N/A	N/A
Nearest Neighbor Normalization Improves Multimodal Retrieval	Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah Schwettmann, Tristan Thrush	N/A	N/A
Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning	Shengguang Wu, Shusheng Yang, Zhenglun Chen, Qi Su	N/A	N/A
LongRAG: A Dual-perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering	Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang	N/A	N/A
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models	Yuxuan Guo, Zhiliang Tian, YIPING SONG, Tianlun Liu, Liang Ding, Dongsheng Li	N/A	N/A
Knowledge Graph Enhanced Large Language Model Editing	Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen	N/A	N/A
Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews	Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal	N/A	N/A
Mitigating Open-Vocabulary Caption Hallucinations	Assaf Ben-Kish, Moran Yanuka, Morris Alper, Raja Giryes, Hadar Averbuch-Elor	N/A	N/A
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes	Kosuke Nishida, Kyosuke Nishida, Kuniko Saito	N/A	N/A
ALVIN: Active Learning Via INterpolation	Michalis Korakakis, Andreas Vlachos	N/A	N/A
Filtered Direct Preference Optimization	Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu	N/A	N/A
Instruction Fine-Tuning: Does Prompt Loss Matter?	Mathew Huerta-Enochian, Seung Yong Ko	N/A	N/A
Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia	Tomás Feith, Akhil Arora, Martin Gerlach, Debjit Paul, Robert West	N/A	N/A

EMNLP 2022

Title	Author	PDF_Link	Code_URL
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation	Juhwan Choi, Yeonghwa Kim, Seunguk Yu, JungMin Yun, YoungBin Kim	N/A	N/A
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation	Juhwan Choi, JungMin Yun, Kyohoon Jin, YoungBin Kim	N/A	N/A
FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document	Joonho Yang, Seunghyun Yoon, ByeongJeong Kim, Hwanhee Lee	N/A	N/A
Prompts have evil twins	Rimon Melamed, Lucas Hurley McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, Enric Boix-Adserà	N/A	N/A
Table Question Answering for Low-resourced Indic Languages	Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke	N/A	N/A
ImageInWords: Unlocking Hyper-Detailed Image Descriptions	Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Michael Baldridge, Radu Soricut	N/A	N/A
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay	Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang	N/A	N/A
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection	Xiangyu Zhang, Hexin Liu, Kaishuai Xu, Qiquan Zhang, Daijiao Liu, Beena Ahmed, Julien Epps	N/A	N/A
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model	Xiangyu Zhang, Daijiao Liu, Hexin Liu, Qiquan Zhang, Hanyu Meng, Leibny Paola Garcia Perera, EngSiong Chng, Lina Yao	N/A	N/A
Hateful Word in Context Classification	Sanne Hoeken, Sina Zarrieß, Özge Alacam	N/A	N/A
Eyes Don’t Lie: Subjective Hate Annotation and Detection with Gaze	Özge Alacam, Sanne Hoeken, Sina Zarrieß	N/A	N/A
NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning	Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle	N/A	N/A
Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models	Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka	N/A	N/A
A Usage-centric Take on Intent Understanding in E-Commerce	Wendi Zhou, Tianyi Li, Pavlos Vougiouklis, Mark Steedman, Jeff Z. Pan	N/A	N/A
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs	Oded Ovadia, Menachem Brief, Moshik Mishaeli, Oren Elisha	N/A	N/A
Systematic Biases in LLM Simulations of Debates	Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel Goldstein	N/A	N/A
Studying and Mitigating Biases in Sign Language Understanding Models	Katherine Atwell, Danielle Bragg, Malihe Alikhani	N/A	N/A
Uncertainty in Language Models: Assessment through Rank-Calibration	Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban	N/A	N/A
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning	Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing	Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty	N/A	N/A
Scaling Properties of Speech Language Models	Santiago Cuervo, Ricard Marxer	N/A	N/A
“We Demand Justice!”: Towards Social Context Grounding of Political Texts	Rajkumar Pujari, Chengfei Wu, Dan Goldwasser	N/A	N/A
An Experimental Analysis on Evaluating Patent Citations	Rabindra Nath Nandi, Suman Maity, Brian Uzzi, Sourav Medya	N/A	N/A
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?	Dawei Zhu, Pinzhen Chen, Miaoran Zhang, Barry Haddow, Xiaoyu Shen, Dietrich Klakow	N/A	N/A
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing	Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis	N/A	N/A
Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning	Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, zujie wen, Wenqiang Lei, Tat-Seng Chua	N/A	N/A
Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation	Saiful Islam Salim, Rubin Yuchan Yang, Alexander Cooper, Suryashree Ray, Saumya Debray, Sazzadur Rahaman	N/A	N/A
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation	Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, shimin tao, Xiaofeng Zhao, Mahongxia, Zhang Li, Boxing Chen, Hao Yang, Bei Li, Tong Xiao, JingBo Zhu	N/A	N/A
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models	Abhilasha Sancheti, Haozhe An, Rachel Rudinger	N/A	N/A
EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models	Maureen de Seyssel, Antony D’Avirro, Adina Williams, Emmanuel Dupoux	N/A	N/A
On Fake News Detection with LLM Enhanced Semantics Mining	Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu, Hao Fan	N/A	N/A
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices	Branislav Pecher, Ivan Srba, Maria Bielikova	N/A	N/A
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection	Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan	N/A	N/A
A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet Classifiers	Valentin Barriere, Sebastian Cifuentes	N/A	N/A
Mitigating the Alignment Tax of RLHF	Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang	N/A	N/A
Evaluating Readability and Faithfulness of Concept-based Explanations	Meng Li, Haoran Jin, Ruixuan HUANG, Zhihao Xu, Defu Lian, Zijia Lin, Di ZHANG, Xiting Wang	N/A	N/A
Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems	Zhengyuan Liu, Stella Xin Yin, Geyu Lin, Nancy F. Chen	N/A	N/A
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making	Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, Bowen Zhou	N/A	N/A
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds	Min-Hsuan Yeh, Ruyuan Wan, Ting-Hao Kenneth Huang	N/A	N/A
Tokenization Is More Than Compression	Craig W Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan, Yuval Pinter, Chris Tanner	N/A	N/A
FLIRT: Feedback Loop In-context Red Teaming	Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta	N/A	N/A
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections	Lingjun Zhao, Khanh Xuan Nguyen, Hal Daumé III	N/A	N/A
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks	Haoyuan WU, Haisheng Zheng, Zhuolun He, Bei Yu	N/A	N/A
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation	Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng	N/A	N/A
Improved Learned Sparse Retrieval with Entity Vocabulary	Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates	N/A	N/A
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models	Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Yu Wu	N/A	N/A
LongEmbed: Extending Embedding Models for Long Context Retrieval	Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li	N/A	N/A
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences	Xiangyang Liu, Junliang He, Xipeng Qiu	N/A	N/A
Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue	Xianlong Luo, Yihao Wang, Meng Yang	N/A	N/A
Integrating Plutchik’s Theory with Mixture of Experts for Enhancing Emotion Classification	Dongjun LIM, Yun-Gyung Cheong	N/A	N/A
In-context Contrastive Learning for Event Causality Identification	梁超, Wei Xiang, Bang Wang	N/A	N/A
What’s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs	Anna Wegmann, Tijs A. van den Broek, Dong Nguyen	N/A	N/A
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs	Kanishka Misra, Kyle Mahowald	N/A	N/A
Large Language Models for Data Annotation: A Survey	Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, huan liu	N/A	N/A
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models	Hongyuan Lu, HAORAN YANG, Haoyang Huang, Dongdong Zhang, Wai Lam, Furu Wei	N/A	N/A
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning	Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang	N/A	N/A
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning	Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao	N/A	N/A
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering	Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, chen luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao	N/A	N/A
HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs	Jocelyn J Shen, Joel Mire, Hae Won Park, Cynthia Breazeal, Maarten Sap	N/A	N/A
Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence	Junru Lu, Jiazheng Li, Siyu An, Meng Zhao, Yulan He, di yin, Xing Sun	N/A	N/A
Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval	Tianyi Hu, Maria Maistro, Daniel Hershcovich	N/A	N/A
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models	Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao	N/A	N/A
A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading	Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He	N/A	N/A
A Survey on In-context Learning	Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Lei Li, Zhifang Sui	N/A	N/A
DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing	Hangdi Xing, Changxu Cheng, Feiyu Gao, Zirui Shao, Zhi Yu, Jiajun Bu, Qi Zheng, Cong Yao	N/A	N/A
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation	Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing	N/A	N/A
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models	Shangyu Xing, Fei Zhao, Zhen Wu, Tuo An, Weihao Chen, Chunhui Li, Jianbing Zhang, Xinyu Dai	N/A	N/A
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization	Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee	N/A	N/A
LLMs Are Zero-Shot Context-Aware Simultaneous Translators	Roman Koshkin, Katsuhito Sudoh, Satoshi Nakamura	N/A	N/A
AgentReview: Exploring Peer Review Dynamics with LLM Agents	Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang	N/A	N/A
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval	Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou	N/A	N/A
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments	Han Zhou, Xingchen Wan, Yinhong Liu, Nigel Collier, Ivan Vulić, Anna Korhonen	N/A	N/A
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation	Chenlong Deng, Kelong Mao, Zhicheng Dou	N/A	N/A
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process	Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie, Yong Jiang	N/A	N/A
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation	Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander T Toshev	N/A	N/A
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing	Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng	N/A	N/A
Mitigating Language Bias of LMMs in Social Intelligence Understanding with Virtual Counterfactual Calibration	Peng Chen, Xiao-Yu Guo, Yuan-Fang Li, Xiaowang Zhang, Zhiyong Feng	N/A	N/A
Model Balancing Helps Low-data Training and Fine-tuning	Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang	N/A	N/A
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment	Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami	N/A	N/A
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment	Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu	N/A	N/A
A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning	Zhongwu Chen, Long Bai, Zixuan Li, Zhen Huang, Xiaolong Jin, Yong Dou	N/A	N/A
Towards Tool Use Alignment of Large Language Models	Zhi-Yuan Chen, Shiqi Shen, Guangyao Shen, Gong Zhi, Xu Chen, Yankai Lin	N/A	N/A
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models	Ranchi Zhao, Zhen Leng Thai, Yifan Zhang, Shengding Hu, Jie Zhou, Yunqi Ba, Jie Cai, Zhiyuan Liu, Maosong Sun	N/A	N/A
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps	Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass	N/A	N/A
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment	Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun	N/A	N/A
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation	Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin	N/A	N/A
Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network	Haoran Li, Qiang Gao, Hongmei Wu, Li Huang	N/A	N/A
Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors	Wenjian Ding, YAO ZHANG, Jun Wang, Adam Jatowt, Zhenglu Yang	N/A	N/A
UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation	Xiangyu Zhao, Yuehan Zhang, zhangwenlong, Xiao-Ming Wu	N/A	N/A
Tracking the perspectives of interacting language models	Hayden Helm, Brandon Duderstadt, Youngser Park, Carey Priebe	N/A	N/A
MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering	Zhengxuan Zhang, Yin WU, Yuyu Luo, Nan Tang	N/A	N/A
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?	Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui	N/A	N/A
Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement	Weimin Xiong, Yifan Song, Xiutian Zhao, Wenhao Wu, Xun Wang, Ke Wang, Cheng LI, Wei Peng, Sujian Li	N/A	N/A
Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation	Joseph Marvin Imperial, Gail Forey, Harish Tayyar Madabushi	N/A	N/A
Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective	Zhihao Zhang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou	N/A	N/A
“Glue pizza and eat rocks” - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models	Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, huan liu	N/A	N/A
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement	Yuxuan Wang, Xiaoyuan Liu	N/A	N/A
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation	Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao	N/A	N/A
MatchTime: Towards Automatic Soccer Game Commentary Generation	Jiayuan Rao, Haoning Wu, Chang Liu, Yanfeng Wang, Weidi Xie	N/A	N/A
Rethinking Token Reduction for State Space Models	Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang	N/A	N/A
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering	Chang Zong, Yuchen Yan, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang	N/A	N/A
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic	Yuyan Zhou, Liang Song, Bingning Wang, weipeng chen	N/A	N/A
Event Causality Identification with Synthetic Control	Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson	N/A	N/A
Retrieved Sequence Augmentation for Protein Representation Learning	Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Young Lu, Qi Liu, Sheng Wang, Lingpeng Kong	N/A	N/A
HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding	Fan Yuan, Chi Qin, Xiaogang Xu, Piji Li	N/A	N/A
TopViewRS: Vision-Language Models as Top-View Spatial Reasoners	Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulić	N/A	N/A
DA$^3$: A Distribution-Aware Adversarial Attack against Language Models	Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu	N/A	N/A
Evaluating Psychological Safety of Large Language Models	Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing	N/A	N/A
An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification	Zhuowei Chen, Lianxi Wang, Yuben Wu, Xinfeng Liao, Yujia Tian, Junyang Zhong	N/A	N/A
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering	Dongze Hao, Qunbo Wang, Longteng Guo, Jie Jiang, Jing Liu	N/A	N/A
PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation	Libo Zhao, Jing Li, Ziqian Zeng	N/A	N/A
TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging	Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang	N/A	N/A
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese	Caiqi Zhang, Zhijiang Guo, Andreas Vlachos	N/A	N/A
Enhancing Advanced Visual Reasoning Ability of Large Language Models	Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, Weidong Cai	N/A	N/A
CMD: a framework for Context-aware Model self-Detoxification	Zecheng Tang, Keyan Zhou, Juntao Li, Yuyang Ding, Pinzheng Wang, Yan Bowen, Renjie Hua, Min Zhang	N/A	N/A
Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection	Xiaomeng Hu, Yiming Zhang, Ru Peng, Haozhe Zhang, Chenwei Wu, Gang Chen, Junbo Zhao	N/A	N/A
TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control	Yu Zhang, Ziyue Jiang, Ruiqi Li, Changhao Pan, Jinzheng He, Rongjie Huang, Chuxin Wang, Zhou Zhao	N/A	N/A
Be Helpful but Don’t Talk too Much - Enhancing Helpfulness in Conversations through Relevance in Multi-Turn Emotional Support	LI Junlin, Bo Peng, Yu-Yin Hsu, Chu-Ren Huang	N/A	N/A
Aligning Language Models to Explicitly Handle Ambiguity	Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim	N/A	N/A
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation	Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li	N/A	N/A
GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models	Xuanchang Zhang, Zhuosheng Zhang, hai zhao	N/A	N/A
Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information	Runze Xia, Congchi Yin, Piji Li	N/A	N/A
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models	Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang	N/A	N/A
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models	Yongjin Yang, Jongwoo Ko, Se-Young Yun	N/A	N/A
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning	Mingqian He, Yongliang Shen, Wenqi Zhang, Zeqi Tan, Weiming Lu	N/A	N/A
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference	Yu Lin, Qizhi Zhang, Quanwei Cai, Jue Hong, Wu Ye, Huiqi Liu, Bing Duan	N/A	N/A
MantisScore: A Reliable Fine-grained Metric for Video Generation	Xuan He, Dongfu Jiang, Ge Zhang, Max Ku, Achint Soni, Sherman Siu, Haonan Chen, Abhranil Chandra, Ziyan Jiang, Aaran Arulraj, Kai Wang, Quy Duc Do, Yuansheng Ni, Bohan Lyu, Yaswanth Narsupalli, Rongqi Fan, Zhiheng Lyu, Bill Yuchen Lin, Wenhu Chen	N/A	N/A
A ∧ B ⇔ B ∧ A: Evaluating and Improving Logical Reasoning Ability of Large Language Models	Yuxuan WAN, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael Lyu	N/A	N/A
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training	Xiaoyang Yi, Yuru Bao, Jian Zhang, Yifang Qin, Faxin Lin	N/A	N/A
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning	Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu, Ya-Qin Zhang	N/A	N/A
I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL Generation	Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen	N/A	N/A
Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm	Michael Wiegand, Josef Ruppenhofer	N/A	N/A
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting	Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong, Kimin Lee, Sung-Ju Lee	N/A	N/A
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization	Seungwoo Son, Wonpyo Park, Woohyun Han, Kyuyeun Kim, Jaeho Lee	N/A	N/A
CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search	Fengran Mo, Abbas Ghaddar, Kelong Mao, Mehdi Rezagholizadeh, Boxing Chen, Qun Liu, Jian-Yun Nie	N/A	N/A
Towards Low-Resource Harmful Meme Detection with LMM Agents	Jianzhao Huang, Hongzhan Lin, ZiyanLiu, Ziyang Luo, Guang Chen, Jing Ma	N/A	N/A
VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values	Zhe Hu, Yixiao Ren, Jing Li, Yu Yin	N/A	N/A
Direct Multi-Turn Preference Optimization for Language Agents	Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng	N/A	N/A
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models	Leonardo Ranaldi, Andre Freitas	N/A	N/A
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search	Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren	N/A	N/A
AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation	Wenhao Huang, Zhouhong Gu, Chenghao Peng, Jiaqing Liang, Zhixu Li, Yanghua Xiao, liqian wen, Zulong Chen	N/A	N/A
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space	Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf	N/A	N/A
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding	Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu	N/A	N/A
Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!	Jiwan Chung, Seungwon Lim, Jaehyun Jeon, Seungbeen Lee, Youngjae Yu	N/A	N/A
Reusing Transferable Weight Increments for Low-resource Style Generation	Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar Zaiane	N/A	N/A
Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course	Cheng-Han Chiang, Wei-Chih Chen, Chun-Yi Kuan, Chienchou Yang, Hung-yi Lee	N/A	N/A
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?	Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler	N/A	N/A
Instruction Pre-Training: Language Models are Supervised Multitask Learners	Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei	N/A	N/A
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models	Renzhi Wang, Piji Li	N/A	N/A
Collaborative Performance Prediction for Large Language Models	Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma	N/A	N/A
Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese	Yuqi Chen, Sixuan Li, Ying Li, Mohammad Atari	N/A	N/A
Knowledge Verification to Nip Hallucination in the Bud	Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi	N/A	N/A
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios	Timo Pierre Schrader, Lukas Lange, Simon Razniewski, Annemarie Friedrich	N/A	N/A
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification	Gregor Geigle, Radu Timofte, Goran Glavaš	N/A	N/A
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models	Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao	N/A	N/A
To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models	Bastien Liétard, Pascal Denis, Mikaela Keller	N/A	N/A
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings	Hao Wang, Hao Li, Minlie Huang, Lei Sha	N/A	N/A
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making	Xiutian Zhao, Ke Wang, Wei Peng	N/A	N/A
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?	Gregor Geigle, Radu Timofte, Goran Glavaš	N/A	N/A
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment	zhenyu liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min zhang	N/A	N/A
MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning	Yufei Ma, Zihan Liang, Huangyu Dai, Ben Chen, Dehong Gao, Zhuoran Ran, ZihanWang, Linbo Jin, Wen Jiang, Guannan Zhang, Xiaoyan Cai, Libin Yang	N/A	N/A
Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification	Pinyi Zhang, Jingyang Chen, Junchen Shen, Zijie Zhai, Ping Li, Jie Zhang, Kai Zhang	N/A	N/A
PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study	Yuqing Zhang, Baoyi He, Yihan Chen, Hangqi Li, Han Yue, Shengyu Zhang, Huaiyong Dou, Junchi Yan, Zemin Liu, Yongquan Zhang, Fei Wu	N/A	N/A
Alignment-Enhanced Decoding: Defending via Token-Level Adaptive Refining of Probability Distributions	Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su	N/A	N/A
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction	Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu	N/A	N/A
Evaluating Large Language Models via Linguistic Profiling	Alessio Miaschi, Felice Dell’Orletta, Giulia Venturi	N/A	N/A
With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models	Tyler Loakman, YUCHENG LI, Chenghua Lin	N/A	N/A
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases	Jiajie Zhang, Shulin Cao, Linmei Hu, Ling Feng, Lei Hou, Juanzi Li	N/A	N/A
Understanding Higher-Order Correlations Among Semantic Components in Embeddings	Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira	N/A	N/A
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection	Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Wei Liu, Xian Wu, Shaorong Xie, Yefeng Zheng	N/A	N/A
Evaluating D-MERIT of Partial-annotation on Information Retrieval	Royi Rassin, Yaron Fairstein, Oren Kalinsky, Guy Kushilevitz, Nachshon Cohen, Alexander Libov, Yoav Goldberg	N/A	N/A
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving	XIN QUAN, Marco Valentino, Louise A. Dennis, Andre Freitas	N/A	N/A
Calibrating the Confidence of Large Language Models by Eliciting Fidelity	Mozhi Zhang, Mianqiu Huang, Rundong Shi, Linsen Guo, Chong Peng, Peng Yan, Yaqian Zhou, Xipeng Qiu	N/A	N/A
Exploring Reward Model Strength’s Impact on Language Models	Yanjun Chen, Dawei Zhu, Yirong Sun, Xinghao Chen, Wei Zhang, Xiaoyu Shen	N/A	N/A
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics	Adrian Cosma, Stefan Ruseti, Mihai Dascalu, Cornelia Caragea	N/A	N/A
Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection	Gaetan Lopez Latouche, Marc-André Carbonneau, Benjamin Swanson	N/A	N/A
CUTE: Measuring LLMs’ Understanding of Their Tokens	Lukas Edman, Helmut Schmid, Alexander Fraser	N/A	N/A
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation	Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min zhang	N/A	N/A
On The Role of Context in Reading Time Prediction	Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Wilcox	N/A	N/A
BC-Prover: Backward Chaining Prover for Formal Theorem Proving	Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin	N/A	N/A
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP	Marius Mosbach, Vagrant Gautam, Tomás Vergara Browne, Dietrich Klakow, Mor Geva	N/A	N/A
Dual Modalities of Text: Visual and Textual Generative Pre-Training	Yekun Chai, Qingyi Liu, Jingwu Xiao, Shuohuan Wang, Yu Sun, Hua Wu	N/A	N/A
On Training Data Influence of GPT Models	Qingyi Liu, Yekun Chai, Shuohuan Wang, Yu Sun, Qiwei Peng, Hua Wu	N/A	N/A
Understanding “Democratization” in NLP and ML Research	Arjun Subramonian, Vagrant Gautam, Dietrich Klakow, Zeerak Talat	N/A	N/A
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models	Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto	N/A	N/A
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages	Seonjeong Hwang, Yunsu Kim, Gary Lee	N/A	N/A
ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws	Ruihang Li, Yixuan Wei, Miaosen Zhang, Nenghai Yu, Han Hu, Houwen Peng	N/A	N/A
Word Alignment as Preference for Machine Translation	Qiyu Wu, Masaaki Nagata, Zhongtao Miao, Yoshimasa Tsuruoka	N/A	N/A
Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence	Yaxin FAN, PEIFENG LI, Qiaoming Zhu	N/A	N/A
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models	Jinghan He, Haiyun Guo, Kuan Zhu, Zihan Zhao, Ming Tang, Jinqiao Wang	N/A	N/A
Neuron-Level Knowledge Attribution in Large Language Models	ZEPING YU, Sophia Ananiadou	N/A	N/A
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning	ZEPING YU, Sophia Ananiadou	N/A	N/A
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis	ZEPING YU, Sophia Ananiadou	N/A	N/A
Pixology: Probing the Linguistic and Visual Knowledge of Pixel-based Language Models	Kushal Tatariya, Vladimir Araujo, Thomas Bauwens, Miryam de Lhoneux	N/A	N/A
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory	Wei Fan, Haoran Li, Zheye Deng, Weiqi Wang, Yangqiu Song	N/A	N/A
Noise, Novels, Numbers. A Framework for Detecting and Categorizing Noise in Danish and Norwegian Literature	ALI ALLAITH, Daniel Hershcovich, Jens Bjerring-Hansen, Jakob Ingemann Parby, Alexander Conroy, Timothy R Tangherlini	N/A	N/A
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models	Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang, Jie Ren, Torsten Hoefler, Dan Alistarh	N/A	N/A
Fine-Grained Prediction of Reading Comprehension from Eye Movements	Omer Shubi, Yoav Meiri, Cfir Avraham Hadar, Yevgeni Berzak	N/A	N/A
Efficient Retriever for Multi-Hop Retrieval Question Answerin	Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang	N/A	N/A
Unsupervised Human Preference Learning	Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai, Dilek Hakkani Tur	N/A	N/A
Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering	Helena Bonaldi, Greta Damo, Nicolás Benjamín Ocampo, Elena Cabrio, Serena Villata, Marco Guerini	N/A	N/A
Leading Whitespaces of Language Models’ Subword Vocabulary Poses a Confound for Calculating Word Probabilities	Byung-Doh Oh, William Schuler	N/A	N/A
LLM4Decompile: Decompiling Binary Code with Large Language Models	Hanzhuo Tan, Qi Luo, Jing Li, Yuqun Zhang	N/A	N/A
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning	Jihao Gu, Zelin Wang, Yibo Zhang, Ziji Zhang, Ping Gong	N/A	N/A
CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering	Yike Wu, Yi Huang, Nan Hu, YUNCHENG HUA, Guilin Qi, Jiaoyan Chen, Jeff Z. Pan	N/A	N/A
MTLS: Making Texts into Linguistic Symbols	Wenlong Fei, Xiaohua Wang, Min Hu, Qingyu Zhang, Hongbo Li	N/A	N/A
D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection	Yifan Chen, Kuntao Li, Weixing Mai, Qiaofeng Wu, Yun Xue, Fenghuan Li	N/A	N/A
A Generic Method for Fine-grained Category Discovery in Natural Language Texts	Chang Tian, Matthew B. Blaschko, Wenpeng Yin, Mingzhe Xing, Yinliang Yue, Marie-Francine Moens	N/A	N/A
Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method	Yang Trista Cao, Lovely-Frances Domingo, Sarah Gilbert, Michelle L. Mazurek, Katherine Shilton, Hal Daumé III	N/A	N/A
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models	Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie	N/A	N/A
Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison	Qian Yang, Weixiang Yan, Aishwarya Agrawal	N/A	N/A
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism	Lang Cao	N/A	N/A
VGBench: A Comprehensive Benchmark of Vector Graphics Understanding and Generation for Large Language Models	Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee	N/A	N/A
What do large language models need for machine translation evaluation?	Shenbin Qian, Archchana Sindhujan, Minnie Kabra, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe, Fred Blain	N/A	N/A
Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale	Flavio Di Palo, Prateek Singhi, Bilal H Fadlallah	N/A	N/A
External Knowledge-Driven Argument Mining: Leveraging Attention-Enhanced Multi-Network Models	Debela Gemechu, Chris Reed	N/A	N/A
C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits	Maaz Bin Musa, Rishab Nithyanand, Padmini Srinivasan, Mihailis E. Diamantis, Steven M. Winston, Garrison Allen, Jacob Schiller, Kevin Moore, Sean Quick, Johnathan Melvin	N/A	N/A
MPT: Multimodal Prompt Tuning for Zero-shot Instruction Learning	Taowen Wang, Yiyang Liu, James Chenhao Liang, junhan zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu	N/A	N/A
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification	Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang	N/A	N/A
Incubating Text Classifiers Following User Instruction with Nothing but LLM	Letian Peng, Zilong Wang, Jingbo Shang	N/A	N/A
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL	Ruilin Luo, Liyuan Wang, Binghuai Lin, Zicheng Lin, Yujiu Yang	N/A	N/A
Conditional and Modal Reasoning in Large Language Models	Wesley H. Holliday, Matthew Mandelkern, Cedegao E. Zhang	N/A	N/A
Advancing Large Language Model Attribution through Self-Improving	Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin	N/A	N/A
AlignCap: Aligning Speech Emotion Captioning to Human Preferences	Ziqi Liang, Haoxiang Shi, Hanhui Chen	N/A	N/A
Interpretability-based Tailored Knowledge Editing in Transformers	Yihuai Hong, Aldo Lipani	N/A	N/A
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling	Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan	N/A	N/A
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting	Chen Cai, Zheng Wang, Jianjun Gao, Wenyang Liu, Ye Lu, Runzhong Zhang, Kim-Hui Yap	N/A	N/A
Dissecting Fine-Tuning Unlearning in Large Language Models	Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang	N/A	N/A
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models	Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, zhiheng huang	N/A	N/A
Where is the signal in tokenization space?	Renato Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck	N/A	N/A
Private Language Models via Truncated Laplacian Mechanism	Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang	N/A	N/A
Estimating Knowledge in Large Language Models Without Generating a Single Token	Daniela Gottesman, Mor Geva	N/A	N/A
Consistent Autoformalization for Constructing Mathematical Libraries	Lan Zhang, XIN QUAN, Andre Freitas	N/A	N/A
Contextual and Parametric Knowledge: More Context, More Focus	Yufei Tao, Adam Hiatt, Erik Haake, Antonie J. Jetter, Ameeta Agrawal	N/A	N/A
Semantic Training Signals Promote Hierarchical Syntactic Generalization in Transformers	Aditya Yedetore, Najoung Kim	N/A	N/A
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages	Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Ben Bergen	N/A	N/A
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use	Jiajun Xi, Yinong He, Jianing Yang, Yinpei Dai, Joyce Chai	N/A	N/A
MiTTenS: A Dataset for Evaluating Gender Mistranslation	Kevin Robinson, Sneha Kudugunta, Romina Stella, Sunipa Dev, Jasmijn Bastings	N/A	N/A
Teaching LLMs to Abstain across Languages via Multilingual Feedback	Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov	N/A	N/A
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration	Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov	N/A	N/A
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements	Jillian Fisher, Skyler Hallinan, Ximing Lu, Mitchell L Gordon, Zaid Harchaoui, Yejin Choi	N/A	N/A
I Could’ve Asked That: Reformulating Unanswerable Questions	Wenting Zhao, Ge Gao, Claire Cardie, Alexander M Rush	N/A	N/A
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions	Robert Morabito, Sangmitra Madhusudan, Tyler McDonald, Ali Emami	N/A	N/A
Hidden Persuaders: How LLM Political Bias Could Sway Our Elections	Yujin Potter, Shiyang Lai, Junsol Kim, James Evans, Dawn Song	N/A	N/A
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning	Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu	N/A	N/A
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives	Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu	N/A	N/A
An Analysis of Multilingual FActScore	Vu Trong Kim, Michael Krumdick, Varshini Reddy, Franck Dernoncourt, Viet Dac Lai	N/A	N/A
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models	Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo	N/A	N/A
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering	Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli	N/A	N/A
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval	Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon	N/A	N/A
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects	Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, Yulia Tsvetkov	N/A	N/A
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback	Ju-Seung Byun, Jiyun Chun, Jihyung Kil, Andrew Perrault	N/A	N/A
Order of Magnitude Speedups for LLM Membership Inference	Rongting Zhang, Martin Andres Bertran, Aaron Roth	N/A	N/A
VIMI: Grounding Video Generation through Multi-modal Instruction	Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chieh Wang, Ivan Skorokhodov, Graham Neubig, Sergey Tulyakov	N/A	N/A
F$^2$RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation	Haiyang Wang, Yuchen Pan, Xin Song, Xuechen Zhao, Minghao Hu, Bin Zhou	N/A	N/A
Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning	Chang Yang, Peng Zhang, Hui Gao, Jing Zhang	N/A	N/A
Visual Prompting in LLMs for Enhancing Emotion Recognition	Qixuan Zhang, Zhifeng Wang, Dylan Zhang, Yang Liu, Zhenyue Qin, Wenjia Niu, Sabrina Caldwell, Tom Gedeon	N/A	N/A
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding	Pengcheng Li, Xulong Zhang, Jing Xiao, Jianzong Wang	N/A	N/A
Leveraging Conflicts in Social Media Posts: Unintended Offense Dataset	Che Wei Tsai, Yen-Hao Huang, Tsu-keng Liao, Didier Fernando Salazar Estrada, Retnani Latifah, Yi-Shin Chen	N/A	N/A
Outcome-Constrained Large Language Models for Countering Hate Speech	Lingzi Hong, Pengcheng Luo, Eduardo Blanco, Xiaoying Song	N/A	N/A
Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing	Changbing Yang, Garrett Nicolai, Miikka Silfverberg	N/A	N/A
Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks	Ao Wang, Xinghao Yang, Chen Li, Bao-di Liu, Weifeng Liu	N/A	N/A
Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping	Yangyang Zhao, Ben Niu, Mehdi Dastani, Shihan Wang	N/A	N/A
PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling	Huachuan Qiu, Lizhi Ma, Zhenzhong Lan	N/A	N/A
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering	Jiacong Wang, Bohong Wu, Haiyong Jiang, Haoyuan Guo, Xin Xiao, zhou Xun, Jun Xiao	N/A	N/A
DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering	Jing Jin, Houfeng Wang, Hao Zhang, Xiaoguang Li, Zhijiang Guo	N/A	N/A
How Do Humans Write Code? Large Models Do It the Same Way Too	Long Li, Xuzheng He, Haozhe Wang, Linlin Wang, Liang He	N/A	N/A
Retrospex: Language Agent Meets Offline Reinforcement Learning Critic	Yufei Xiang, Yiqun Shen, Yeqin Zhang, Nguyen Cam-Tu	N/A	N/A
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models	Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, JingBo Zhu	N/A	N/A
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation	Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang, Enhong Chen	N/A	N/A
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation	Renhao Li, Minghuan Tan, Derek F. Wong, Min Yang	N/A	N/A
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners	Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie J Su, Camillo Jose Taylor, Dan Roth	N/A	N/A
Bayesian Calibration of Win Rate Estimation with LLM Evaluators	Yicheng Gao, Gonghan Xu, Zhe Wang, Arman Cohan	N/A	N/A
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning	Shuo Yin, Weihao You, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai	N/A	N/A
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients	Weijun Li, Qiongkai Xu, Mark Dras	N/A	N/A
RWKV-CLIP: A Robust Vision-Language Representation Learner	Tiancheng Gu, Kaicheng Yang, Xiang An, Ziyong Feng, Dongnan Liu, Weidong Cai, Jiankang Deng	N/A	N/A
KidLM: Advancing Language Models for Children – Early Insights and Future Directions	Mir Tafseer Nayeem, Davood Rafiei	N/A	N/A
Using Language Models to Disambiguate Lexical Choices in Translation	Josh Barua, Sanjay Subramanian, Kayo Yin, Alane Suhr	N/A	N/A
How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?	Zhuoyan Li, Chen Liang, Jing Peng, Ming Yin	N/A	N/A
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records	Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob Drachmann Havtorn, Tuukka Ruotsalo	N/A	N/A
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs	Zheng Wang, Zhongyang Li, Jiang Zeren, Dandan Tu, Wei Shi	N/A	N/A
EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation	Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Ruhi Sarikaya, Kevin Small, Heng Ji	N/A	N/A
Predicting Nonnative Sentence Processing with L2LMs	Tatsuya Aoyama, Nathan Schneider	N/A	N/A
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis	Chuanqi Cheng, Jian Guan, Wei Wu, Rui Yan	N/A	N/A
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs	Shadi Iskander, Sofia Tolmach, Ori Shapira, Nachshon Cohen, Zohar Karnin	N/A	N/A
Cross-Domain Audio Deepfake Detection: Dataset and Analysis	Yuang Li, Min Zhang, Mengxin Ren, Xiaosong Qiao, Miaomiao Ma, Daimeng Wei, Hao Yang	N/A	N/A
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension	Ting Liu, Zunnan Xu, Zhiqiang Wang, Yue Hu, Liangtao Shi, Quanjun Yin	N/A	N/A
Investigating How Large Language Models Leverage Internal Knowledge to Perform Complex Reasoning	Miyoung Ko, Sue Hyun Park, Joonsuk Park, Minjoon Seo	N/A	N/A
Aligning Translation-Specific Understanding to General Understanding in Large Language Models	Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin	N/A	N/A
FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation	Mohamad Ballout, Anne Dedert, Nohayr Muhammad Abdelmoneim, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger	N/A	N/A
Concept-skill Transferability-based Data Selection for Large Vision-Language Models	Jaewoo Lee, Boyang Li, Sung Ju Hwang	N/A	N/A
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing	Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi LIU, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin	N/A	N/A
Academics Can Contribute to Domain-Specialized Language Models	Mark Dredze, Genta Indra Winata, Prabhanjan Kambadur, Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, David S Rosenberg, Sebastian Gehrmann	N/A	N/A
Beyond Reference: Evaluating High Quality Translations Better than Human References	Keonwoong Noh, Seokjin Oh, Woohwan Jung	N/A	N/A
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement	Pengwei Zhan, Zhen Xu, Qian Tan, Jie Song, Ru Xie	N/A	N/A
SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages	Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, Lester James Validad Miranda, Jennifer Santoso, Elyanah Aco, Akhdan Fadhilah, Jonibek Mansurov, Joseph Marvin Imperial, Onno P. Kampman, Joel Ruben Antony Moniz, Muhammad Ravi Shulthan Habibi, Frederikus Hudi, Jann Railey Montalan, Ryan Ignatius Hadiwijaya, Joanito Agili Lopo, William Nixon, Börje F. Karlsson, James Jaya, Ryandito Diandaru, Yuze GAO, Patrick Amadeus Irawan, Bin Wang, Jan Christian Blaise Cruz, Chenxi Whitehouse, Ivan Halim Parmonangan, Maria Khelli, Wenyu Zhang, Lucky Susanto, Reynard Adha Ryanda, Sonny Lazuardi Hermawan, Dan John Velasco, Muhammad Dehan Al Kautsar, Willy Fitra Hendria, Yasmin Moslem, Noah Flynn, Muhammad Farid Adilazuarda, Haochen Li, Johanes Lee, R. Damanhuri, Shuo Sun, Muhammad Reza Qorib, Amirbek Djanibekov, Wei Qi Leong, Quyet V. Do, Niklas Muennighoff, Tanrada Pansuwan, Ilham Firdausi Putra, Yan Xu, Tai Ngee Chia, Ayu Purwarianti, Sebastian Ruder, William Chandra Tjhi, Peerat Limkonchotiwat, Alham Fikri Aji, Sedrick Keh, Genta Indra Winata, Ruochen Zhang, Fajri Koto, Zheng Xin Yong, Samuel Cahyawijaya	N/A	N/A
Induct-Learn: Short Phrase Prompting with Instruction Induction	Po-Chun Chen, Sheng-Lun Wei, Hen-Hsen Huang, Hsin-Hsi Chen	N/A	N/A
Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning	Shi Mingcong, Chunjiang Zhu, Detian Zhang, Shiting Wen, Qing Li	N/A	N/A
LUQ: Long-text Uncertainty Quantification for LLMs	Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier	N/A	N/A
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method	Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng	N/A	N/A
Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars	Damien Sileo	N/A	N/A
Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach	Maxime Poli, Emmanuel Chemla, Emmanuel Dupoux	N/A	N/A
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model	Jia-Ying Zheng, Hainan Zhang, Lingxiang Wang, Wangjie Qiu, Hong-Wei Zheng, Zhi-Ming Zheng	N/A	N/A
Formality Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge	Jiahuan Li, Yiqing Cao, Shujian Huang, Jiajun Chen	N/A	N/A
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?	Yang Luo, Zangwei Zheng, Zirui Zhu, Yang You	N/A	N/A
How Far Can We Extract Diverse Perspectives from Large Language Models?	Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal, Dongyeop Kang	N/A	N/A
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning	Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Mohan Yerragorla, Sourangshu Bhattacharya, Avishek Anand	N/A	N/A
An LLM Feature-based Framework for Dialogue Constructiveness Assessment	Lexin Zhou, Youmna Farag, Andreas Vlachos	N/A	N/A
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System	Zhanpeng Chen, Zhihong Zhu, Wanshi Xu, Xianwei Zhuang, Yuexian Zou	N/A	N/A
Dialog2Flow: Pre-training Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction	Sergio Burdisso, Srikanth Madikeri, Petr Motlicek	N/A	N/A
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation	Raphael Tang, Crystina Zhang, Lixinyu Xu, Yao Lu, Wenyan Li, Pontus Stenetorp, Jimmy Lin, Ferhan Ture	N/A	N/A
Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024	Ilias Chalkidis	N/A	N/A
Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning	Mayi Xu, Yongqi Li, Ke Sun, Tieyun Qian	N/A	N/A
LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations	Shengda Fan, Yanting Wang, Shasha Mo, Jianwei Niu	N/A	N/A
Concept Space Alignment in Multilingual LLMs	Qiwei Peng, Anders Søgaard	N/A	N/A
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model	Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou	N/A	N/A
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian	Peng Liu, Lemei Zhang, Terje Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang	N/A	N/A
RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework	Yifan Wang, Vera Demberg	N/A	N/A
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models	Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang	N/A	N/A
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems	Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam .	N/A	N/A
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering	Yuhao Wang, Ruiyang Ren, Junyi Li, Xin Zhao, Jing Liu, Ji-Rong Wen	N/A	N/A
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA	Minzheng Wang, Longze Chen, ChengFu, Liaoshengyi, Xinghua Zhang, Bingliwu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li	N/A	N/A
On Mitigating Performance Disparities in Multilingual Speech Recognition	Monorama Swain, Anna Katrine van Zee, Anders Søgaard	N/A	N/A
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting	Stephen Meisenbacher, Florian Matthes	N/A	N/A
From Coarse to Fine: Impacts of Feature-Preserving and Feature-Compressing Connectors on Perception in Multimodal Models	Junyan Lin, Haoran Chen, Dawei Zhu, Xiaoyu Shen	N/A	N/A
What is ‘‘Typological Diversity’’ in NLP?	Esther Ploeger, Wessel Poelman, Miryam de Lhoneux, Johannes Bjerva	N/A	N/A
The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse	Xiaobo Guo, Neil Potnis, Melody Yu, Nabeel Gillani, Soroush Vosoughi	N/A	N/A
Consistent Bidirectional Language Modelling: Expressive Power and Representational Conciseness	Georgi Shopov, Stefan Gerdjikov	N/A	N/A
Benchmarking Vision Language Models for Cultural Understanding	Shravan Nayak, Kanishk Jain, Rabiul Awal, Siva Reddy, Sjoerd van Steenkiste, Lisa Anne Hendricks, Karolina Stanczak, Aishwarya Agrawal	N/A	N/A
Methods of Automatic Matrix Language Determination for Code-Switched Speech	Olga Iakovenko, Thomas Hain	N/A	N/A
Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts	Jaewook Lee, Yeajin Jang, Hongjin KIM, Woojin Lee, Harksoo Kim	N/A	N/A
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models	Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar	N/A	N/A
Teaching Small Language Models Reasoning through Counterfactual Distillation	FengTao, Yicheng Li, Li Chenglin, Hao Chen, Fei Yu, Yin Zhang	N/A	N/A
Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese	Meet Doshi, Raj Dabre, Pushpak Bhattacharyya	N/A	N/A
Quantifying the Gap Between Machine Translation and Native Language in Training for Multimodal, Multilingual Retrieval	Kyle Buettner, Adriana Kovashka	N/A	N/A
MTA4DPR: Multi-Teaching-Assistants Based Iterative Knowledge Distillation for Dense Passage Retrieval	Qixi Lu, Gongbo Tang	N/A	N/A
Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates	Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, Steffen Eger	N/A	N/A
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling	Yu Bai, Xiyuan Zou, Heyan Huang, Sanxing Chen, Marc-Antoine Rondeau, Yang Gao, Jackie CK Cheung	N/A	N/A
Story Embeddings — Narrative-Focused Representations of Fictional Stories	Hans Ole Hatzel, Chris Biemann	N/A	N/A
C-LLM: Learn to Check Chinese Spelling Errors Character by Character	Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou	N/A	N/A
PSC: Extending Context Window of Large Language Models via Phase Shift Calibration	Wenqiao Zhu, Chao Xu, Lulu Wang, Jun Wu	N/A	N/A
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection	Bin Lin, Yang Ye, Bin Zhu, Jiaxi Cui, Munan Ning, Peng Jin, Li Yuan	N/A	N/A
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales	Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao	N/A	N/A
Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing	Richard Diehl Martinez, Zebulon Goriely, Andrew Caines, Paula Buttery, Lisa Beinborn	N/A	N/A
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations	Yunze Xiao, Yujia Hu, Kenny Tsu Wei Choo, Roy Ka-Wei Lee	N/A	N/A
Boosting Scientific Concepts Understanding: Can Analogies from Teacher Models Empower Student Models?	Siyu Yuan, Cheng Jiayang, Lin Qiu, Deqing Yang	N/A	N/A
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation	Jirui Qi, Gabriele Sarti, Raquel Fernández, Arianna Bisazza	N/A	N/A
Do Large Language Models Know How Much They Know?	Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar	N/A	N/A
Investigating Mysteries of CoT-Augmented Distillation	Somin Wadhwa, Silvio Amir, Byron C Wallace	N/A	N/A
SciPrompt: Knowledge-Augmented Prompting for Fine-Grained Categorization of Scientific Topics	Zhiwen You, Kanyao Han, Haotian Zhu, Bertram Ludaescher, Jana Diesner	N/A	N/A
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP	Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi	N/A	N/A
Learning from Natural Language Explanations for Generalizable Entity Matching	Somin Wadhwa, ADIT KRISHNAN, Runhui Wang, Byron C Wallace, Luyang Kong	N/A	N/A
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation	Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Sricharan Kumar, Murat Kantarcioglu, Bradley A. Malin	N/A	N/A
On the Reliability of Psychological Scales on Large Language Models	Jen-tse Huang, Wenxuan Wang, Man Ho LAM, Eric John Li, Wenxiang Jiao, Michael Lyu	N/A	N/A
Contrastive Entity Coreference and Disambiguation for Historical Texts	Abhishek Arora, Emily Silcock, Melissa Dell, Leander Heldring	N/A	N/A
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models	Jeonghwan Kim, Heng Ji	N/A	N/A
Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts	Sumit Asthana, Hannah Rashkin, Elizabeth Clark, Fantine Huot, Mirella Lapata	N/A	N/A
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment	Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu	N/A	N/A
Focused Large Language Models are Stable Many-Shot Learners	Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li	N/A	N/A
Reconsidering Sentence-Level Sign Language Translation	Garrett Tanzer, Maximus Shengelia, Ken Harrenstien, David Uthus	N/A	N/A
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities	Sreyan Ghosh, Sonal Kumar, Ashish Seth, Chandra Kiran Reddy Evuru, Utkarsh Tyagi, S Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha	N/A	N/A
Verba volant, scripta volant? Don’t worry! There are computational solutions for protoword reconstruction	Liviu P Dinu, Ana Sabina Uban, Alina Maria Cristea, Ioan-Bogdan Iordache, Teodor-George Marchitan, Simona Georgescu, Laurentiu Zoicas	N/A	N/A
ChatGPT Doesn’t Trust LA Chargers Fans: Guardrail Sensitivity in Context	Victoria R Li, Yida Chen, Naomi Saphra	N/A	N/A
Personas as a Way to Model Truthfulness in Language Models	Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He	N/A	N/A
Satyrn: A Platform for Analytics Augmented Generation	Marko Sterbentz, Cameron Barrie, Shubham Shahi, Abhratanu Dutta, Donna Hooshmand, Harper Pack, Kristian J Hammond	N/A	N/A
EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning	Ashish Seth, Ramaneswaran S, S Sakshi, Sonal Kumar, Sreyan Ghosh, Dinesh Manocha	N/A	N/A
EPO: Hierarchical LLM Agents with Environment Preference Optimization	Qi Zhao, Haotian Fu, Chen Sun, George Konidaris	N/A	N/A
Detection and Measurement of Syntactic Templates in Generated Text	Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C Wallace	N/A	N/A
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models	Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, ChengXiang Zhai, Klara Nahrstedt, Zhiting Hu	N/A	N/A
Optimized Speculative Sampling for GPU Hardware Accelerators	Dominik Wagner, Seanie Lee, Ilja Baumann, Philipp Seeberger, Korbinian Riedhammer, Tobias Bocklet	N/A	N/A
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts	Zhaoxuan Tan, Zheyuan Liu, Meng Jiang	N/A	N/A
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning	Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang	N/A	N/A
Unifying Multimodal Retrieval via Document Screenshot Embedding	Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin	N/A	N/A
Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation	Shaomu Tan, Di Wu, Christof Monz	N/A	N/A
An Audit on the Perspectives and Challenges of Hallucinations in NLP	Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs, Mukund Srinath, Koustava Goswami, Sarah Rajtmajer, Shomir Wilson	N/A	N/A
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models	Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut	N/A	N/A
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models	Junjie Chu, Zeyang Sha, Michael Backes, Yang Zhang	N/A	N/A
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering	Armin Toroghi, Willis Guo, Mohammad Mahdi Abdollah Pour, Scott Sanner	N/A	N/A
Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution	Armin Toroghi, Willis Guo, Ali Pesaranghader, Scott Sanner	N/A	N/A
Understanding and Mitigating Language Confusion in LLMs	Kelly Marchisio, Wei-Yin Ko, Alexandre Berard, Théo Dehaze, Sebastian Ruder	N/A	N/A
Can Large Language Models Learn Independent Causal Mechanisms?	Gael Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie	N/A	N/A
MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models	Sarfaroz Yunusov, Hamza Sidat, Ali Emami	N/A	N/A
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context	Ziyi Liu, Abhishek Anand, Pei Zhou, Jen-tse Huang, Jieyu Zhao	N/A	N/A
Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia	Farhan Samir, Chan Young Park, Vered Shwartz, Anjalie Field, Yulia Tsvetkov	N/A	N/A
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models	Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, EunJeong Hwang, Vered Shwartz	N/A	N/A
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation	Karin De Langis, Ryan Koo, Dongyeop Kang	N/A	N/A
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model	Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu	N/A	N/A
Learning to Extract Structured Entities Using Language Models	Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra	N/A	N/A
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons	Adian Liusie, Vatsal Raina, Yassir Fathullah, Mark Gales	N/A	N/A
A Survey of AMR Applications	Shira Wein, Juri Opitz	N/A	N/A
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning	Yiwu Zhong, Zi-Yuan Hu, Michael Lyu, Liwei Wang	N/A	N/A
CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation	Shahla Farzana, Ivana Lucero, Vivian Villegas, Vera C Kaelin, Mary Khetani, Natalie Parde	N/A	N/A
Secured Weight Release for Large Language Models via Taylor Expansion	Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu	N/A	N/A
TimeR$^4$ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering	Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Li Zhang, Kehui Song	N/A	N/A
Knowledge-Centric Hallucination Detection	Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang	N/A	N/A
Revealing the Parallel Multilingual Learning within Large Language Models	Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, JingBo Zhu	N/A	N/A
Automatic Instruction Evolving for Large Language Models	Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen	N/A	N/A
RepEval: Effective Text Evaluation with LLM Representation	Shuqian Sheng, Yi Xu, Tianhang Zhang, Zanwei Shen, Luoyi Fu, Jiaxin Ding, Lei Zhou, Xiaoying Gan, Xinbing Wang, Chenghu Zhou	N/A	N/A
Generative Models for Automatic Medical Decision Rule Extraction from Text	Yuxin He, Buzhou Tang, Xiaoling Wang	N/A	N/A
Encoding and Controlling Global Semantics for Long-form Video Question Answering	Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu	N/A	N/A
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis	Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang	N/A	N/A
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs	Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun	N/A	N/A
Does Large Language Model Contain Task-Specific Neurons?	Ran Song, Shizhu He, Shuting Jiang, Yantuan Xian, Shengxiang Gao, Kang Liu, Zhengtao Yu	N/A	N/A
Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models	Philipp Mondorf, Barbara Plank	N/A	N/A
Advancing Test-Time Adaptation in Wild Acoustic Test Settings	Hongfu Liu, Hengguan Huang, Ye Wang	N/A	N/A
Learning to Retrieve Iteratively for In-Context Learning	Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme	N/A	N/A
Taxonomy-guided Semantic Indexing for Academic Paper Search	SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu	N/A	N/A
Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts	Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che	N/A	N/A
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models	Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh	N/A	N/A
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation	Zhiyu Cao, PEIFENG LI, Yaxin FAN, Qiaoming Zhu	N/A	N/A
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs	Yiyuan Li, Shichao Sun, Pengfei Liu	N/A	N/A
Aligning Large Language Models with Diverse Political Viewpoints	Dominik Stammbach, Philine Widmer, Eunjung Cho, Caglar Gulcehre, Elliott Ash	N/A	N/A
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations	Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III	N/A	N/A
Extending Context Window of Large Language Models from a Distributional Perspective	Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin	N/A	N/A
Leveraging pre-trained language models for linguistic analysis: A case of argument structure constructions	Hakyung Sung, Kristopher Kyle	N/A	N/A
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration	Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng	N/A	N/A
Position Engineering: Boosting Large Language Models through Positional Information Manipulation	Zhiyuan He, Huiqiang Jiang, Zilong Wang, Yuqing Yang, Luna K. Qiu, Lili Qiu	N/A	N/A
Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale	Junying Chen, Chi Gui, OuyangRuyi, Anningzhe Gao, Shunian Chen, Guiming Hardy Chen, Xidong Wang, Zhenyang Cai, Ke Ji, Xiang Wan, Benyou Wang	N/A	N/A
ADELIE: Aligning Large Language Models on Information Extraction	Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li	N/A	N/A
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons	Yifei Wang, Yuheng Chen, Wanting Wen, Yu Sheng, Linjing Li, Daniel Dajun Zeng	N/A	N/A
Lexically Grounded Subword Segmentation	Jindřich Libovický, Jindřich Helcl	N/A	N/A
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees	Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang	N/A	N/A
Do Text-to-Vis Benchmarks Test Real Use of Visualizations?	Hy Nguyen, Xuefei He, Andrew Reeson, Cecile Paris, Josiah Poon, Jonathan K. Kummerfeld	N/A	N/A
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs	Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu	N/A	N/A
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning	Jingyu Hu, Weiru Liu, Mengnan Du	N/A	N/A
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges	Nguyen Van Dinh, Thanh Chi Dang, Luan Thanh Nguyen, Kiet Van Nguyen	N/A	N/A
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment	Vyas Raina, Adian Liusie, Mark Gales	N/A	N/A
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal	Zhicong Lu, Li Jin, PeiguangLi, Yu Tian, Linhao Zhang, Sirui Wang, Guangluan Xu, Changyuan Tian, Xunliang Cai	N/A	N/A
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs	Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu	N/A	N/A
Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models	Vyas Raina, Rao Ma, Charles McGhee, Kate Knill, Mark Gales	N/A	N/A
GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation	Georgios Katsimpras, Georgios Paliouras	N/A	N/A
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs	Zichen Chen, Jianda Chen, Ambuj Singh, Misha Sra	N/A	N/A
Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning	Yuanpin Zhou, Huogen Wang	N/A	N/A
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information	Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng	N/A	N/A
UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models	Zhanyue Qin, Haochuan Wang, Deyuan Liu, Ziyang Song, Cunhang Fan, Zhao Lv, Jinlin Wu, Zhen Lei, Zhiying Tu, Dianhui Chu, Xiaoyan Yu, Dianbo Sui	N/A	N/A
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments	Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su	N/A	N/A
MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space	Yihong Tang, Bo Wang, Dongming Zhao, Jinxiaojia, Zhangjijun, Ruifang He, Yuexian Hou	N/A	N/A
KnowledgeSG: Privacy-Preserving Synthetic Text Generation With Knowledge Distillation From Server	WenHao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang	N/A	N/A
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination	Xuan Gong, Tianshi Ming, Xinpeng Wang, Zhihua Wei	N/A	N/A
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models	Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao	N/A	N/A
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale	Wenzhen Zheng, Wenbo Pan, Xu Xu, Libo Qin, Li Yue, Ming Zhou	N/A	N/A
An Empirical Study of Multilingual Reasoning Distillation for Question Answering	Patomporn Payoungkhamdee, Peerat Limkonchotiwat, Jinheon Baek, Potsawee Manakul, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong	N/A	N/A
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?	Gal Yona, Roee Aharoni, Mor Geva	N/A	N/A
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?	Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig	N/A	N/A
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning	Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee	N/A	N/A
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding	Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao JING, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Long Chen, Yangqiu Song	N/A	N/A
ECON: On the Detection and Resolution of Evidence Conflicts	Cheng Jiayang, Qianqian Zhuang, Chunkit Chan, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang	N/A	N/A
“Image, Tell me your story!” Predicting the original meta-context of visual misinformation	Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych	N/A	N/A
Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning	Zhili Shen, Pavlos Vougiouklis, Chenxin Diao, Kaustubh Vyas, Yuanyi Ji, Jeff Z. Pan	N/A	N/A
Mixture-of-Subspaces in Low-Rank Adaptation	Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong	N/A	N/A
A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data	Ishaan Watts, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram	N/A	N/A
LawBench: Benchmarking Legal Knowledge of Large Language Models	Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Alan Huang, Songyang Zhang, Kai Chen, Zhixin Yin, Zongwen Shen, Jidong Ge, Vincent Ng	N/A	N/A
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards	Furkan Şahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych	N/A	N/A
Efficient Vision-Language pre-training via domain-specific learning for human activities	Adrian Bulat, Yassine Ouali, Ricardo Guerrero, Brais Martinez, Georgios Tzimiropoulos	N/A	N/A
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training	Wenbo Li, Guohao Li, Zhibin Lan, Xue Xu, Wanru Zhuang, Jiachen Liu, Xinyan Xiao, Jinsong Su	N/A	N/A
Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works	Xinfeng Yuan, Siyu Yuan, Yuhan Cui, Tianhe Lin, Xintao Wang, Rui Xu, Jiangjie Chen, Deqing Yang	N/A	N/A
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners	Shimao Zhang, Changjiang Gao, Wenhao Zhu, Jiajun Chen, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang	N/A	N/A
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning	Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin	N/A	N/A
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models	Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li	N/A	N/A
mDPO: Conditional Preference Optimization for Multimodal Large Language Models	Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen	N/A	N/A
Data Advisor: Data Curation with Foresight for Safety Alignment of Large Language Models	Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan	N/A	N/A
Language-to-Code Translation with a Single Labeled Example	Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Benjamin Van Durme, Jason Eisner, Jacob Andreas	N/A	N/A
Attribute or Abstain: Large Language Models as Long Document Assistants	Jan Buchmann, Xiao Liu, Iryna Gurevych	N/A	N/A
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models	Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma	N/A	N/A
Retrieved In-Context Principles from Previous Mistakes	Hao Sun, Yong Jiang, Bo Wang, Yingyan Hou, Yan Zhang, Pengjun Xie, Fei Huang	N/A	N/A
EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control	Haozhe Chen, Run Chen, Julia Hirschberg	N/A	N/A
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models	Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang	N/A	N/A
Deterministic Weighted L* Algorithm	Clemente Pasti, Talu Karagöz, Franz Nowak, Anej Svete, Ryan Cotterell	N/A	N/A
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection	Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin	N/A	N/A
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification	Pritish Sahu, Karan Sikka, Ajay Divakaran	N/A	N/A
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes	Yusuke Hirota, Jerone Andrews, Dora Zhao, Orestis Papakyriakopoulos, Apostolos Modas, Yuta Nakashima, Alice Xiang	N/A	N/A
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?	Di Cao, Yong Liao, Xiuwei Shang	N/A	N/A
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel	Brendan King, Jeffrey Flanigan	N/A	N/A
Humans or LLMs as the Judge? A Study on Judgement Bias	Guiming Hardy Chen, Shunian Chen, Ziche Liu, Feng Jiang, Benyou Wang	N/A	N/A
WPO: Enhancing RLHF with Weighted Preference Optimization	Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu	N/A	N/A
Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias	Rongwu Xu, Zian Zhou, Tianwei Zhang, Zehan Qi, SU YAO, Ke Xu, Wei Xu, Han Qiu	N/A	N/A
MetaReflection: Learning Instructions for Language Agents using Past Reflections	Priyanshu Gupta, Shashank Kirtania, Ananya Singha, Sumit Gulwani, Arjun Radhakrishna, Gustavo Soares, Sherry Shi	N/A	N/A
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors	Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan	N/A	N/A
On Eliciting Syntax from Language Models via Hashing	Yiran Wang, Masao Utiyama	N/A	N/A
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios	Zetian Ouyang, Yishuai Qiu, Linlin Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He	N/A	N/A
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples	Heng Yang	N/A	N/A
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages	Pretam Ray, Jivnesh Sandhan, Amrith Krishna, Pawan Goyal	N/A	N/A
Perceptions of Linguistic Uncertainty by Language Models and Humans	Catarina G Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth	N/A	N/A
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM	Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung	N/A	N/A
Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding	Xiaoyu DONG, Yujie Feng, ZEXIN LU, Guangyuan SHI, Xiao-Ming Wu	N/A	N/A
Knowledge Conflicts for LLMs: A Survey	Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru WANG, Yue Zhang, Wei Xu	N/A	N/A
Generative AI in the Era of “Alternative Facts”	Saadia Gabriel, Liang Lyu, James Siderius, Marzyeh Ghassemi, Jacob Andreas, Asuman E. Ozdaglar	N/A	N/A
MEANT: Multimodal Encoder for Antecedent Information	Benjamin Irving, Annika Marie Schoene	N/A	N/A
A Thorough Examination of Decoding Methods in the Era of LLMs	Chufan Shi, HAORAN YANG, Deng Cai, Zhisong Zhang, Yifan Wang, Yujiu Yang, Wai Lam	N/A	N/A
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings	Revanth Gangi Reddy, Omar Attia, Yunyao Li, Heng Ji, Saloni Potdar	N/A	N/A
FIRST: Faster Improved Listwise Reranking with Single Token Decoding	Revanth Gangi Reddy, JaeHyeok Doo, Yifei Xu, Md Arafat Sultan, Deevya Swain, Avirup Sil, Heng Ji	N/A	N/A
Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights	Hongjin KIM, Jai-Eun Kim, Harksoo Kim	N/A	N/A
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods	Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Zhenqiang Gong, Bhuwan Dhingra	N/A	N/A
“Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models	Karina H Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut	N/A	N/A
Revisiting Who’s Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective	Yujian Liu, Yang Zhang, Tommi Jaakkola, Shiyu Chang	N/A	N/A
LIONs: An Empirically Optimized Approach to Align Language Models	Xiao Yu, Qingyang Wu, Yu Li, Zhou Yu	N/A	N/A
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing	Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada	N/A	N/A
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery	Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han	N/A	N/A
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents	Liyan Tang, Philippe Laban, Greg Durrett	N/A	N/A
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning	John Wu, David Wu, Jimeng Sun	N/A	N/A
MOSEL: Inference Serving Using Dynamic Modality Selection	Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J Yadwadkar, Aditya Akella	N/A	N/A
From RAG to Riches: Retrieval Interlaced with Sequence Generation	Palak Jain, Livio Baldini Soares, Tom Kwiatkowski	N/A	N/A
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition	Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee	N/A	N/A
Learning to Correct for QA Reasoning with Black-box LLMs	Jaehyung Kim, Dongyoung Kim, Yiming Yang	N/A	N/A
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?	Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant	N/A	N/A
PostMark: A Robust Blackbox Watermark for Large Language Models	Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Frederick Wieting, Mohit Iyyer	N/A	N/A
Assessing “Implicit” Retrieval Robustness of Large Language Models	Xiaoyu Shen, Rexhina Blloshmi, Dawei Zhu, Jiahuan Pei, Wei Zhang	N/A	N/A
On the Relationship between Truth and Political Bias in Language Models	Suyash Fulay, William Brannon, Shrestha Mohanty, Cassandra Overney, Elinor Poole-Dayan, Deb Roy, Jad Kabbara	N/A	N/A
Can Active Label Correction Improve LLM-based Modular AI Systems?	Karan Taneja, Ashok Goel	N/A	N/A
Statistical Uncertainty in Word Embeddings: GloVe-V	Andrea Vallebueno, Cassandra Handan-Nader, Christopher D Manning, Daniel E. Ho	N/A	N/A
Annotation alignment: Comparing LLM and human annotations of conversational safety	Rajiv Movva, Pang Wei Koh, Emma Pierson	N/A	N/A
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions	Nigel Fernandez, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Otero Ornelas, Andrew Lan	N/A	N/A
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention	Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang	N/A	N/A
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models	Yuetai Li, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Dinuka Sahabandu, Bhaskar Ramasubramanian, Radha Poovendran	N/A	N/A
Enhancing Reinforcement Learning with Intrinsic Rewards from Language Model Critique	Meng Cao, Lei Shu, Lei Yu, Yun Zhu, Nevan Wichers, Yinxiao Liu, Lei Meng	N/A	N/A
Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models	Layla Bouzoubaa, Elham Aghakhani, Shadi Rezapour	N/A	N/A
Efficient Sequential Decision Making with Large Language Models	Dingyang Chen, Qi Zhang, Yinglun Zhu	N/A	N/A
SignCLIP: Connecting Text and Sign Language by Contrastive Learning	Zifan Jiang, Gerard Sant, Amit Moryossef, Mathias Müller, Rico Sennrich, Sarah Ebling	N/A	N/A
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization	Yue Guo, Tal August, Gondy Leroy, Trevor Cohen, Lucy Lu Wang	N/A	N/A
Ontologically Faithful Generation of Non-Player Character Dialogues	Nathaniel Weir, Ryan Thomas, Randolph d’Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani	N/A	N/A
LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives	Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker	N/A	N/A
RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs	Ekaterina Taktasheva, Maxim Bazhukov, Kirill Koncha, Alena Fenogenova, Ekaterina Artemova, Vladislav Mikhailov	N/A	N/A
Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction	Zheye Deng, Chunkit Chan, Weiqi Wang, Yuxi Sun, Wei Fan, Tianshi Zheng, Yauwai Yim, Yangqiu Song	N/A	N/A
Toward Compositional Behavior in Neural Models: A Survey of Current Views	Kate McCurdy, Paul Soulos, Paul Smolensky	N/A	N/A
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs	Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, David Broman, Christopher Potts, Matei Zaharia, Omar Khattab	N/A	N/A
Reverse-Engineering the Reader	Samuel Kiegeland, Ethan Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell	N/A	N/A
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation	Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang	N/A	N/A
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text	Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun	N/A	N/A
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning	David Schulte, Felix Hamborg, Alan Akbik	N/A	N/A
The effects of distance on NPI illusive effects in BERT	So Young Lee, Mai Ha Vu	N/A	N/A
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic	Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Jansen, Peter Clark, Benjamin Van Durme	N/A	N/A
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US	Christabel Acquaye, Haozhe An, Rachel Rudinger	N/A	N/A
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding	Yue Fan, Lei Ding, Ching-Chen Kuo, Shan Jiang, Yang Zhao, Xinze Guan, Jie Yang, Yi Zhang, Xin Eric Wang	N/A	N/A
Ranking Manipulation for Conversational Search Engines	Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi	N/A	N/A
Fast Forwarding Low-Rank Training	Adir Rahamim, Naomi Saphra, Sara Kangaslahti, Yonatan Belinkov	N/A	N/A
Precise Model Benchmarking with Only a Few Observations	Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort	N/A	N/A
Attribute Diversity Determines the Systematicity Gap in VQA	Ian Berlot-Attwell, Kumar Krishna Agrawal, Annabelle Michael Carrell, Yash Sharma, Naomi Saphra	N/A	N/A
“Rows, Columns and Values, Oh My!” Synthesizing Scientific Literature into Tables using Language Models	Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S Weld, Joseph Chee Chang, Kyle Lo	N/A	N/A
Development of Cognitive Intelligence in Pre-trained Language Models	Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma	N/A	N/A
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding	Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui	N/A	N/A
Birdie: Advancing State Space Models with a Minimalist Architecture and Novel Pre-training Objectives	Sam Blouir, Jimmy T.H. Smith, Antonios Anastasopoulos, Amarda Shehu	N/A	N/A
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?	Pinzhen Chen, Simon Yu, Zhicheng Guo, Barry Haddow	N/A	N/A
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs	Sheridan Feucht, David Atkinson, Byron C Wallace, David Bau	N/A	N/A
TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering	Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig	N/A	N/A
Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding	Biswesh Mohapatra, Manav Nitin Kapadnis, Laurent Romary, Justine Cassell	N/A	N/A
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting	Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang	N/A	N/A
If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions	Reza Esfandiarpoor, Cristina Menghini, Stephen Bach	N/A	N/A
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction	Bowen Zhang, Harold Soh	N/A	N/A
MQuinE: a Cure for “Z-paradox” in Knowledge Graph Embedding	Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun	N/A	N/A
Can Transformer Language Models Learn $n$-gram Language Models?	Anej Svete, Nadav Borenstein, Mike Zhou, Ryan Cotterell	N/A	N/A
StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model	Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, Junmo Kim	N/A	N/A
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems	Philippe Laban, Alexander Fabbri, Caiming Xiong, Chien-Sheng Wu	N/A	N/A
Multi-pass Decoding for Grammatical Error Correction	Xiaoying Wang, Lingling Mu, Jingyi Zhang, Hongfei Xu	N/A	N/A
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations	Yucheng Jiang, Yijia Shao, Dekun Ma, Sina Semnani, Monica Lam	N/A	N/A
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation	Chenming Tang, Zhixiang Wang, Yunfang Wu	N/A	N/A
Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge	Yuxuan Wang, Yueqian Wang, Pengfei Wu, Jianxin Liang, Dongyan Zhao, Yang Liu, Zilong Zheng	N/A	N/A
STORYSUMM: Evaluating Faithfulness in Story Summarization	Melanie Subbiah, Faisal Ladhak, Akankshya Mishra, Griffin Thomas Adams, Lydia Chilton, Kathleen McKeown	N/A	N/A
MMOE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts	Haofei Yu, Zhengyang Qi, Lawrence Keunho Jang, Russ Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang	N/A	N/A
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer	Lu Zhang, Tiancheng Zhao, Heting Ying, Yibo Ma, Kyusong Lee	N/A	N/A
Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension	Lin Ai, Zheng Hui, Zizhou Liu, Julia Hirschberg	N/A	N/A
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions	Jun Rao, Xuebo Liu, Lian Lian, shengjun cheng, Yunjie Liao, Min Zhang	N/A	N/A
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers	Yuzhe Gu, Enmao Diao	N/A	N/A
Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models	Jaeseong Lee, seung-won hwang, Wonpyo Park, Mingi Ji	N/A	N/A
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood	Yang Xu, Yu Wang, Hao An, Yongyuan Li, Zhichen Liu	N/A	N/A
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning	Jiahui Li, Hanlin Zhang, Fengda Zhang, Tai-Wei Chang, Kun Kuang, Long Chen, JUN ZHOU	N/A	N/A
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models	XiaoHua Feng, Chaochao Chen, Yuyuan Li, Zibin Lin	N/A	N/A
ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs	Changchun Liu, Kai Zhang, Junzhe Jiang, Zirui Liu, Hanqing Tao, Min Gao, Enhong Chen	N/A	N/A
On the In-context Generation of Language Models	Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu	N/A	N/A
Atomic Inference for NLI with Generated Facts as Atoms	Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei	N/A	N/A
Towards Robust Speech Representation Learning for Thousands of Languages	William Chen, Wangyou Zhang, Yifan Peng, Xinjian Li, Jinchuan Tian, Jiatong Shi, Xuankai Chang, Soumi Maiti, Karen Livescu, Shinji Watanabe	N/A	N/A
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses	Xuan Ren, Biao Wu, Lingqiao Liu	N/A	N/A
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment	Jiahuan Li, Shujian Huang, Aarron Ching, Xinyu Dai, Jiajun Chen	N/A	N/A
An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance	Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song, Graham Neubig	N/A	N/A
When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models	Ting-Yun Chang, Jesse Thomason, Robin Jia	N/A	N/A
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference	Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo zhang, Yanghui Rao	N/A	N/A
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions	Jinsung Yoon, Rajarishi Sinha, Sercan O Arik, Tomas Pfister	N/A	N/A
KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction	Jianshang Kou, Benfeng Xu, Chiwei Zhu, Zhendong Mao	N/A	N/A
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation	Zhen Lin, Shubhendu Trivedi, Jimeng Sun	N/A	N/A
$\texttt{MixGR}$: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity	Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl	N/A	N/A
CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction	Tuan Dung Nguyen, Thanh Trung Huynh, Minh Hieu Phan, Quoc Viet Hung Nguyen, Phi Le Nguyen	N/A	N/A
“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning	Chuanqi Cheng, Quan Tu, Wei Wu, Shuo Shang, Cunli Mao, Zhengtao Yu, Rui Yan	N/A	N/A
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective	Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He	N/A	N/A
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding	Xin Liu, Farima Fatahi Bayat, Lu Wang	N/A	N/A
Reasoning Robustness of LLMs to Adversarial Typographical Errors	Esther Gan, Yiran Zhao, Liying Cheng, Mao Yancan, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh	N/A	N/A
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance	Pengyu Wang, Dong Zhang, Linyang Li, Chenkun Tan, Xinghao Wang, Mozhi Zhang, Ke Ren, Botian Jiang, Xipeng Qiu	N/A	N/A
Belief Revision: The Adaptability of Large Language Models Reasoning	Bryan Wilie, Samuel Cahyawijaya, Etsuko Ishii, Junxian He, Pascale Fung	N/A	N/A
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models	Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou	N/A	N/A
Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints	Minjia Wang, Fangzhou Liu, Xiuxing Li, Bowen Dong, Zhenyu Li, Tengyu Pan, Jianyong Wang	N/A	N/A
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models	Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng	N/A	N/A
LLMs Are Prone to Fallacies in Causal Inference	Nitish Joshi, Abulhair Saparov, Yixin Wang, He He	N/A	N/A
Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles	Ryan Louie, Ananjan Nandi, William Fang, Cheng Chang, Emma Brunskill, Diyi Yang	N/A	N/A
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification	Andreas Waldis, Joel Birrer, Anne Lauscher, Iryna Gurevych	N/A	N/A
When Generative Adversarial Networks Meet Sequence Labeling Challenges	Yu Tong, Ge Chen, Guokai Zheng, Rui Li, Jiang Dazhi	N/A	N/A
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering	Sungho Ko, Hyunjin Cho, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee	N/A	N/A
Speechworthy Instruction-tuned Language Models	Hyundong Justin Cho, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Karishma Sharma, Pedro Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May	N/A	N/A
Data, Data Everywhere: A Guide for Pretraining Dataset Construction	Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Liu, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro	N/A	N/A
Fine-Tuning and Prompt Optimization: Two Good Steps that Work Better Together	Dilara Soylu, Christopher Potts, Omar Khattab	N/A	N/A
Demystifying Verbatim Memorization in Large Language Models	Jing Huang, Diyi Yang, Christopher Potts	N/A	N/A
AmbigNLG: Addressing Task Ambiguity in Instruction for NLG	Ayana Niwa, Hayate Iso	N/A	N/A
Distributional Properties of Subword Regularization	Marco Cognetta, Vilém Zouhar, Naoaki Okazaki	N/A	N/A
DataTales: A Benchmark for Real-World Intelligent Data Narration	Yajing Yang, Qian Liu, Min-Yen Kan	N/A	N/A
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters	Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun	N/A	N/A
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization	Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin	N/A	N/A
Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models	Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer	N/A	N/A
More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation	Wencke Liermann, Jin-Xia Huang, Yohan Lee, Kong Joo Lee	N/A	N/A
Stable Language Model Pre-training by Reducing Embedding Variability	Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun	N/A	N/A
What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations	Kavya Manohar, Leena G Pillai	N/A	N/A
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets	Benjamin Schiller, Johannes Daxenberger, Andreas Waldis, Iryna Gurevych	N/A	N/A
Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas	Seungjong Sun, Eungu Lee, Seo Yeon Baek, Seunghyun Hwang, Lee wonbyung, Dongyan Nan, Bernard J Jansen, Jang Hyun Kim	N/A	N/A
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator	Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha	N/A	N/A
Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis	Yanjiang Chen, Kai Zhang, hufeng, Xianquan Wang, Ruikang li, Qi Liu	N/A	N/A
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization	Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl	N/A	N/A
Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA	Pu Jian, Donglei Yu, Jiajun Zhang	N/A	N/A
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights	Hao Yang, Lizhen Qu, Ehsan Shareghi, Reza Haf	N/A	N/A
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations	Milan BHAN, Jean-Noël Vittaut, Nicolas CHESNEAU, Marie-Jeanne Lesot	N/A	N/A
What are the Generator Preferences for End-to-end Task-Oriented Dialog System?	Wanshi Xu, Xianwei Zhuang, Zhanpeng Chen, Zhihong Zhu, Xuxin Cheng, Yuexian Zou	N/A	N/A
Paraphrase Types Elicit Prompt Engineering Capabilities	Jan Philip Wahle, Terry Ruas, Yang Xu, Bela Gipp	N/A	N/A
VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models	Jingtao Cao, Zhang Zheng, Hongru WANG, Kam-Fai Wong	N/A	N/A
Towards Online Continuous Sign Language Recognition and Translation	Ronglai Zuo, Fangyun Wei, Brian Mak	N/A	N/A
Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment	Yiwei Dai, Hengrui Gu, Ying Wang, Xin Wang	N/A	N/A
Split and Merge: Aligning Position Biases in LLM-based Evaluators	Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu	N/A	N/A
Integrating Argumentation and Hate-Speech-based Techniques for Countering Misinformation	Sougata Saha, Rohini Srihari	N/A	N/A
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM	Wenda Xu, Jiachen Li, William Yang Wang, Lei Li	N/A	N/A
One2Set + Large Language Model: Best Partners for Keyphrase Generation	Liangying Shao, Liang Zhang, Minlong Peng, Guoqi Ma, Hao Yue, Mingming Sun, Jinsong Su	N/A	N/A
Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering	Yifei Yuan, Yang Deng, Anders Søgaard, Mohammad Aliannejadi	N/A	N/A
ORPO: Monolithic Preference Optimization without Reference Model	Jiwoo Hong, Noah Lee, James Thorne	N/A	N/A
A Multi-Perspective Analysis of Memorization in Large Language Models	Bowen Chen, Namgi Han, Yusuke Miyao	N/A	N/A
Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations	Nicolò Penzo, Maryam Sajedinia, Bruno Lepri, Sara Tonelli, Marco Guerini	N/A	N/A
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs	Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych	N/A	N/A
Unveiling the Role of Pretraining in Direct Speech Translation	Belen Alastruey, Gerard I. Gállego, Marta R. Costa-jussà	N/A	N/A
PCQPR: Proactive Conversational Question Planning with Reflection	Shasha Guo	N/A	N/A
CodeAgent: Autonomous Communicative Agents for Code Review	Xunzhu Tang, KISUB KIM, Yewei Song, Cedric Lothritz, Bei Li, Saad Ezzini, Haoye Tian, Jacques Klein, Tegawendé F. Bissyandé	N/A	N/A
TroL: Traversal of Layers for Large Language and Vision Models	Byung-Kwan Lee, Sangyun Chung, Chae Won Kim, Beomchan Park, Yong Man Ro	N/A	N/A
MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language	Shun Wang, Ge Zhang, Han Wu, Tyler Loakman, Wenhao Huang, Chenghua Lin	N/A	N/A
Revisiting Supertagging for faster HPSG parsing	Olga Zamaraeva, Carlos Gómez-Rodríguez	N/A	N/A
Improve Dense Passage Retrieval with Entailment Tuning	Lu Dai, Hao Liu, Hui Xiong	N/A	N/A
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models	Yuxiang Zhang, Jing Chen, Junjie Wang, Yaxin Liu, Cheng Yang, Chufan Shi, Xinyu Zhu, Zihao Lin, Hanwen WAN, Yujiu Yang, Tetsuya Sakai, Tian Feng, Hayato Yamana	N/A	N/A
TEMA: Token Embeddings Mapping for Enriching Low-Resource Language Models	Rodolfo Zevallos, Núria Bel, Mireia Farrús	N/A	N/A
DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting	Xuanming Zhang, Anthony Diaz, Zixun Chen, Qingyang Wu, Kun Qian, Erik Voss, Zhou Yu	N/A	N/A
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback	Fatemeh Pesaran zadeh, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim	N/A	N/A
PrExMe: Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation	Christoph Leiter, Steffen Eger	N/A	N/A
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning	Shuai Zhao, Meihuizi Jia, Anh Tuan Luu, Fengjun Pan, Jinming Wen	N/A	N/A
Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models	Javier Chiyah-Garcia, Alessandro Suglia, Arash Eshghi	N/A	N/A
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models	Xinrong Zhang, Yingfa Chen, Shengding Hu, Xu Han, Zihang Xu, Yuanwei Xu, Weilin Zhao, Maosong Sun, Zhiyuan Liu	N/A	N/A
Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations	Matthias Lindemann, Alexander Koller, Ivan Titov	N/A	N/A
Puzzle Solving using Reasoning of Large Language Models: A Survey	Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, Giorgos Stamou	N/A	N/A
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading	Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Jianfeng Gao, Fabian Peller-Konrad, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues	N/A	N/A
Red Teaming Language Models for Processing Contradictory Dialogues	Xiaofei Wen, Bangzheng Li, Tenghao Huang, Muhao Chen	N/A	N/A
Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models	Sander Land, Max Bartolo	N/A	N/A
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs	Houman Mehrafarin, Arash Eshghi, Ioannis Konstas	N/A	N/A
Don’t Underestimate the Octopus - Why The Symbol Grounding Problem Does Not Apply to LLMs	Reto Gubelmann	N/A	N/A
Major Entity Identification: A Generalizable Alternative to Coreference Resolution	Kawshik Manikantan, Shubham Toshniwal, Makarand Tapaswi, Vineet Gandhi	N/A	N/A
Enhancing High-order Interaction Awareness in LLM-based Recommender Model	Xinfeng Wang, Jin Cui, Fumiyo Fukumoto, Yoshimi Suzuki	N/A	N/A
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning	Akshay Paruchuri, Jake Garrison, shun liao, John B Hernandez, Jacob Sunshine, Tim Althoff, Xin Liu, Daniel McDuff	N/A	N/A
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction	Han Jiang, Junwen Duan, Zhe Qu, Jianxin Wang	N/A	N/A
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models	Hayder Elesedy, Pedro M Esperanca, Silviu Vlad Oprea, Mete Ozay	N/A	N/A
“A good pun is its own reword”: Can Large Language Models Understand Puns?	Zhijun Xu, Siyu Yuan, Lingjie Chen, Deqing Yang	N/A	N/A
QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation	Weiping Fu, Bifan Wei, Jianxiang Hu, Zhongmin Cai, Jun Liu	N/A	N/A
Dependency Graph Parsing as Sequence Labeling	Ana Ezquerro, David Vilares, Carlos Gómez-Rodríguez	N/A	N/A
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data	Sergei Bogdanov, Alexandre Constantin, Timothée Bernard, Benoit Crabbé, Etienne P Bernard	N/A	N/A
Towards a Greek Proverb Atlas: Computational Spatial Exploration and Attribution of Greek Proverbs	John Pavlopoulos, Panos Louridas, Panagiotis Filos	N/A	N/A
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications	Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu	N/A	N/A
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss	Bowen Zhang, Chunping Li	N/A	N/A
Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training	Marc Felix Brinner, Sina Zarrieß	N/A	N/A
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation	Markus Frohmann, Igor Sterner, Ivan Vulić, Benjamin Minixhofer, Markus Schedl	N/A	N/A
Applying Contrastive Learning to Code Vulnerability Type Classification	Chen Ji, Su Yang, Hongyu Sun, Yuqing Zhang	N/A	N/A
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts	Ruida WANG, Jipeng Zhang, Yizhen Jia, Rui Pan, Shizhe Diao, Renjie Pi, Tong Zhang	N/A	N/A
Multi-Level Cross-Modal Alignment for Speech Relation Extraction	Liang Zhang, Zhen Yang, Biao Fu, Ziyao Lu, Liangying Shao, Shiyu Liu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jinsong Su	N/A	N/A
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models	Christopher Schröder, Gerhard Heyer	N/A	N/A
PANDA: Persona Attributes Navigation for Detecting and Alleviating Overuse Problem in Large Language Models	Jinsung Kim, Seonmin Koo, Heuiseok Lim	N/A	N/A
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm	Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker	N/A	N/A
Subword Segmentation in LLMs: Looking at Inflection and Consistency	Marion Di Marco, Alexander Fraser	N/A	N/A
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments	Omar Sharif, Joseph Gatto, MADHUSUDAN BASAK, Sarah Masud Preum	N/A	N/A
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models	Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut	N/A	N/A
Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data	Jean-Flavien Bussotti, Luca Ragazzi, Giacomo Frisoni, Gianluca Moro, Paolo Papotti	N/A	N/A
TL-CL: Task And Language Incremental Continual Learning	Shrey Satapara, P. K. Srijith	N/A	N/A
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?	Daniel P Jeong, Saurabh Garg, Zachary Chase Lipton, Michael Oberst	N/A	N/A
Empowering Multi-step Reasoning across Languages via Program-Aided Language Models	Leonardo Ranaldi, Giulia Pucci	N/A	N/A
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models	Yu Yuan, Lili Zhao, Kai Zhang, Guangting Zheng, Qi Liu	N/A	N/A
ControlMath: Controllable Data Generation Promotes Math Generalist Models	Nuo Chen, Ning Wu, Jianhui Chang, MING GONG, Linjun Shou, Dongmei Zhang, Jia Li	N/A	N/A
Where Am I From? Identifying Origin of LLM-generated Content	Liying LI, Yihan Bai, Minhao Cheng	N/A	N/A
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment	Tarek Naous, Michael J Ryan, Anton Lavrouk, Mohit Chandra, Wei Xu	N/A	N/A
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text	Michael Ginn, Lindia Tjuatja, Taiqi He, Enora Rice, Graham Neubig, Alexis Palmer, Lori Levin	N/A	N/A
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains	Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari, Amir Zeldes	N/A	N/A
RA2FD: Distilling Faithfulness into Efficient Dialogue Systems	Zhiyuan Zhu, Yusheng Liao, Chenxin Xu, Yunfeng Guan, Yanfeng Wang, Yu Wang	N/A	N/A
Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation	Fangrui Lv, Kaixiong Gong, Jian Liang, Xinyu Pang, Changshui Zhang	N/A	N/A
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently	Kanishka Misra, Allyson Ettinger, Kyle Mahowald	N/A	N/A
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking	Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong	N/A	N/A
A Coordinate System for In-Context Learning	Anhao Zhao, Fanghua Ye, Jinlan Fu, Xiaoyu Shen	N/A	N/A
Self-Powered LLM Modality Expansion for Large Speech-Text Models	Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang	N/A	N/A
ABSEval: An Agent-based Framework for Script Evaluation	Sirui Liang, Baoli Zhang, Jun Zhao, Kang Liu	N/A	N/A
Latent Concept-based Explanation of NLP Models	Xuemin Yu, Fahim Dalvi, Nadir Durrani, Marzia Nouri, Hassan Sajjad	N/A	N/A
Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher	Hyunjong Ok, Jegwang Ryu, Jaeho Lee	N/A	N/A
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research	Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras	N/A	N/A
The Mystery of the Pathological Path-star Task for Language Models	Arvid Frydenlund	N/A	N/A
Voices in a Crowd: Searching for clusters of unique perspectives	Nikolas Vitsakis, Amit Parekh, Ioannis Konstas	N/A	N/A
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent	Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu	N/A	N/A
SLANG: New Concept Comprehension of Large Language Models	Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng	N/A	N/A
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models	Michael Lan, Philip Torr, Fazl Barez	N/A	N/A
Why Does New Knowledge Create Messy Ripple Effects in LLMs?	Jiaxin Qin, Zixuan Zhang, Chi Han, Pengfei Yu, Manling Li, Heng Ji	N/A	N/A
Lifelong Event Detection via Optimal Transport	Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Linh Van Ngo, Thien Huu Nguyen	N/A	N/A
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories	Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot	N/A	N/A
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation	KaShun SHUM, Minrui Xu, Jianshu Zhang, Zixin CHEN, Shizhe Diao, Hanze Dong, Jipeng Zhang, Muhammad Omer Raza	N/A	N/A
Domain adapted machine translation: What does catastrophic forgetting forget and why?	Danielle Saunders, Steve DeNeefe	N/A	N/A
Enhancing AI Assisted Writing with One-Shot Implicit Negative Feedback	Benjamin Towle, Ke Zhou	N/A	N/A
Atomic Self-Consistency for Better Long Form Generations	Raghuveer Thirukovalluru, Yukun Huang, Bhuwan Dhingra	N/A	N/A
“Global is Good, Local is Bad?’’: Understanding Brand Bias in LLMs	Mahammed Kamruzzaman, Hieu Minh Nguyen, Gene Louis Kim	N/A	N/A
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach	Siqi Li, Danni Liu, Jan Niehues	N/A	N/A
ACE: A LLM-based Negotiation Coaching System	Ryan Shea, Aymen Kallala, Xin Lucy Liu, Michael W. Morris, Zhou Yu	N/A	N/A
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities	Ming Zhang, Caishuang Huang, Yilong Wu, Shichun Liu, Huiyuan Zheng, Yurui Dong, Yujiong Shen, Shihan Dou, Jun Zhao, Junjie Ye, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals	Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Jiayin Zhi, Shaun M. Eack, Travis Labrum, Samuel M Murphy, Nev Jones, Kate V Hardy, Hong Shen, Fei Fang, Zhiyu Chen	N/A	N/A
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction	Xueren Ge, Abhishek Satpathy, Ronald Dean Williams, John Stankovic, Homa Alemzadeh	N/A	N/A
$\texttt{ModSCAN}$: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities	Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu, Michael Backes, Yang Zhang	N/A	N/A
Large Language Models Can Self-Correct with Key Condition Verification	Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang	N/A	N/A
Learning to Write Rationally: How Information Is Distributed in Non-native Speakers’ Essays	Zixin Tang, Janet van Hell	N/A	N/A
Defending Against Social Engineering Attacks in the Age of LLMs	Lin Ai, Tharindu Sandaruwan Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael S. Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, huan liu, Julia Hirschberg	N/A	N/A
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models	Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi	N/A	N/A
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training	Yixuan Wang, Xianzhen Luo, Fuxuan Wei, Yijun Liu, Qingfu Zhu, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che	N/A	N/A
Target-Aware Language Modeling via Granular Data Sampling	Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao, Daeil Kim, Rastislav Rabatin, Zechun Liu, Yangyang Shi, Vikas Chandra	N/A	N/A
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness	Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng	N/A	N/A
Learning from Feedback with Coupled Comprehension and Generation	Mustafa Omer Gul, Yoav Artzi	N/A	N/A
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks	Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei	N/A	N/A
Story Morals: Surfacing value-driven narrative schemas using large language models	David G Hobson, Haiqi Zhou, Derek Ruths, Andrew Piper	N/A	N/A
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants	Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, Swabha Swayamdipta	N/A	N/A
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies	Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Murari Tiyyala, Nicholas Andrews, Daniel Khashabi	N/A	N/A
SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents	Qi Zhang, Zhijia Chen, Huitong Pan, Cornelia Caragea, Longin Jan Latecki, Eduard Dragut	N/A	N/A
Analysis of Plan-based Retrieval for Grounded Text Generation	Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer	N/A	N/A
Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors	Alex Chandler, Devesh Surve, Hui Su	N/A	N/A
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs	John Dang, Arash Ahmadian, Kelly Marchisio, Julia Kreutzer, Ahmet Üstün, Sara Hooker	N/A	N/A
Improving Logical Fallacy Reasoning with Logical Structure Tree	Yuanyuan Lei, Ruihong Huang	N/A	N/A
Chain and Causal Attention for Efficient Entity Tracking	Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen	N/A	N/A
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models	Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, Ruoxi Jia	N/A	N/A
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution	Zhengmian Hu, Tong Zheng, Heng Huang	N/A	N/A
FAC$^2$E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition	Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu	N/A	N/A
OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation	Tanvir Mahmud, Diana Marculescu	N/A	N/A
Language Concept Erasure for Language-invariant Dense Retrieval	Zhiqi Huang, Puxuan Yu, Shauli Ravfogel, James Allan	N/A	N/A
Learning Personalized Alignment for Evaluating Open-ended Text Generation	Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian	N/A	N/A
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks	Yue Zhou, Henry Peng Zou, Barbara Di Eugenio, Yang Zhang	N/A	N/A
Turn Waste into Worth: Rectifying Top-$k$ Router of MoE	Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu	N/A	N/A
Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination	Pittawat Taveekitworachai, Febri Abdullah, Ruck Thawonmas	N/A	N/A
CommVQA: Situating Visual Question Answering in Communicative Contexts	Nandita Shankar Naik, Christopher Potts, Elisa Kreiss	N/A	N/A
Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding	Weilin Zhao, Yuxiang Huang, Xu Han, Wang Xu, Chaojun Xiao, Xinrong Zhang, Yewei Fang, Kaihuo Zhang, Zhiyuan Liu, Maosong Sun	N/A	N/A
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?	Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun	N/A	N/A
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective	Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G Honavar	N/A	N/A
Style-Specific Neurons for Steering LLMs in Text Style Transfer	Wen Lai, Viktor Hangya, Alexander Fraser	N/A	N/A
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers	Tianhua Zhang, Kun LI, Hongyin Luo, Xixin Wu, James R. Glass, Helen M. Meng	N/A	N/A
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction	Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han	N/A	N/A
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models	Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu	N/A	N/A
Leveraging Context-aware Prompting for Commit Message Generation	Zhihua Jiang, Jianwei Chen, Dongning Rao, Guanghui Ye	N/A	N/A
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination	Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein	N/A	N/A
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning	Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang, Longtao Huang, Hui Xue’	N/A	N/A
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models	Zhihao Wang, Shiyu Liu, Jianheng Huang, Wang Zheng, YiXuan Liao, Xiaoxin Chen, Junfeng Yao, Jinsong Su	N/A	N/A
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages	Jimin Sohn, Haeji Jung, Alex Cheng, Jooeon Kang, Yilin Du, David R Mortensen	N/A	N/A
An Analysis and Mitigation of the Reversal Curse	Ang Lv, Kaiyi Zhang, Shufang Xie, Quan Tu, Yuhan Chen, Ji-Rong Wen, Rui Yan	N/A	N/A
Exploring the Practicality of Generative Retrieval on Dynamic Corpora	Soyoung Yoon, Chaeeun Kim, Hyunji Lee, Joel Jang, Sohee Yang, Minjoon Seo	N/A	N/A
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting	Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen	N/A	N/A
Gotcha! Don’t trick me with unanswerable questions! Self-aligning Large Language Models for Proactively Responding to Unknown Questions	Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua	N/A	N/A
Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning	Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Fan Yang, Mao Yang	N/A	N/A
Large Language Models in the Clinic: A Comprehensive Benchmark	Fenglin Liu, Zheng Li, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Hongjian Zhou, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei Clifton, Bing Yin, David A. Clifton	N/A	N/A
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction	Jinchuan Zhang, Yan Zhou, Yaxin Liu, Ziming Li, Songlin Hu	N/A	N/A
Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective	Van-Cuong Pham, Thien Huu Nguyen	N/A	N/A
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG	Jinyoung Kim, Dayoon Ko, Gunhee Kim	N/A	N/A
Preserving Generalization of Language models in Few-shot Continual Relation Extraction	Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Van Ngo, Thien Huu Nguyen	N/A	N/A
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations	Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, Mizanur Rahman, Mohammad Abdullah Matin Khan, Haidar Khan, Israt Jahan, Amran Bhuiyan, Chee Wei Tan, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty, Jimmy Huang	N/A	N/A
Consecutive Batch Model Editing with HooK Layers	Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang CHEN, Wai Lam	N/A	N/A
Topic-Oriented Open Relation Extraction with A Priori Seed Generation	Linyi Ding, Jinfeng Xiao, Sizhe Zhou, Chaoqi Yang, Jiawei Han	N/A	N/A
Related Work and Citation Text Generation: A Survey	Xiangci Li, Jessica Ouyang	N/A	N/A
Curriculum Consistency Learning for Conditional Sentence Generation	Liangxin Liu, Xuebo Liu, Lian Lian, shengjun cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang	N/A	N/A
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences	Leonardo Bertolazzi, Albert Gatt, Raffaella Bernardi	N/A	N/A
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision	Fan Jiang, Tom Drummond, Trevor Cohn	N/A	N/A
Towards an Open-Source Speech Foundation Model for EU: 950,000 Hours of Open-Source Compliant Speech Data for EU Languages	Marco Gaido, Sara Papi, Luisa Bentivogli, Alessio Brutti, Mauro Cettolo, Roberto Gretter, Marco Matassoni, Mohamed Nabih, Matteo Negri	N/A	N/A
Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning	Jiashi Lin, Lifang Wang, Xinyu Lu, Zhongtian Hu, Wei Zhang, Wenxuan Lu	N/A	N/A
Contribution of Linguistic Typology to Universal Dependency Parsing: An Empirical Investigation	Ali Basirat, Navid Baradaran Hemmati	N/A	N/A
TRoTR: A Framework for Evaluating the Re-contextualization of Text Reuse	Francesco Periti, Pierluigi Cassotti, Stefano Montanelli, Nina Tahmasebi, Dominik Schlechtweg	N/A	N/A
Structured Optimal Brain Pruning for Large Language Models	Jiateng Wei, Quan Lu, ning jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu	N/A	N/A
Automatically Generated Definitions and their utility for Modeling Word Meaning	Francesco Periti, David Alfter, Nina Tahmasebi	N/A	N/A
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data	Yejie Wang, Keqing He, Dayuan Fu, Zhuoma GongQue, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu	N/A	N/A
MINT: A Benchmark for Evaluating Instructed Information Retrieval	Weiwei Sun, Zhengliang Shi, Wu Jiu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren	N/A	N/A
Rethinking the Evaluation of In-Context Learning for LLMs	Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao	N/A	N/A
Cluster-Norm for Unsupervised Probing of Knowledge	Walter Laurito, Sharan Maiya, Grégoire DHIMOÏLA, Owen Ho Wan Yeung, Kaarel Hänni	N/A	N/A
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries	Eden Biran, Daniela Gottesman, Sohee Yang, Mor Geva, Amir Globerson	N/A	N/A
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration	Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng	N/A	N/A
Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts	Seonmin Koo, Jinsung Kim, YoungJoon Jang, Chanjun Park, Heuiseok Lim	N/A	N/A
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students	Matthew Shu, Nishant Balepur, Shi Feng, Jordan Lee Boyd-Graber	N/A	N/A
Large Language Models Can Be Contextual Privacy Protection Learners	Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng	N/A	N/A
A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick	Nishant Balepur, Matthew Shu, Alexander Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan Lee Boyd-Graber	N/A	N/A
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models	Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf	N/A	N/A
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction	Jun-Hyung Park, Yeachan Kim, Mingyu Lee, Hyuntae Park, SangKeun Lee	N/A	N/A
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning	Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Keisuke Sakaguchi, Kentaro Inui	N/A	N/A
Tools Fail: Detecting Silent Errors in Faulty Tools	Jimin Sun, So Yeon Min, Yingshan Chang, Yonatan Bisk	N/A	N/A
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity	Bowen Zhang, Chunping Li	N/A	N/A
Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing	Deokhyung Kang, Seonjeong Hwang, Yunsu Kim, Gary Lee	N/A	N/A
Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling	Georgios Pantazopoulos, Malvina Nikandrou, Alessandro Suglia, Oliver Lemon, Arash Eshghi	N/A	N/A
Are LLMs Good Zero-Shot Fallacy Classifiers?	Fengjun Pan, Xiaobao Wu, Zongrui Li, Anh Tuan Luu	N/A	N/A
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis	Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He	N/A	N/A
More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages	Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi	N/A	N/A
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification	Ming Li, Jike Zhong, Chenxin Li, Liuzhuozheng Li, Nie Lin, Masashi Sugiyama	N/A	N/A
ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos	Arpan Phukan, Manish Gupta, Asif Ekbal	N/A	N/A
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation	Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang, Munazza Zaib, Ahoud Alhazmi	N/A	N/A
Evaluating $n$-Gram Novelty of Language Models Using Rusty-DAWG	William Merrill, Noah A. Smith, Yanai Elazar	N/A	N/A
ASL STEMpedia: Dataset and Benchmark for Interpreting STEM Articles	Kayo Yin, Chinmay Singh, Fyodor O Minakov, Vanessa Milan, Hal Daumé III, Cyril Zhang, Alex Xijie Lu, Danielle Bragg	N/A	N/A
Can Automatic Metrics Assess High-Quality Translations?	Sweta Agrawal, António Farinhas, Ricardo Rei, Andre Martins	N/A	N/A
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation	Sweta Agrawal, José G. C. de Souza, Ricardo Rei, António Farinhas, Gonçalo Faria, Patrick Fernandes, Nuno M Guerreiro, Andre Martins	N/A	N/A
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding	Bowen Xing, Lizi Liao, Minlie Huang, Ivor Tsang	N/A	N/A
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models	Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren	N/A	N/A
SecCoder: Towards Generalizable and Robust Secure Code Generation	Boyu Zhang, Tianyu Du, Junkai Tong, Xuhong Zhang, Kingsum Chow, Sheng Cheng, Xun Wang, Jianwei Yin	N/A	N/A
Nash CoT: Multi-Path Inference with Preference Equilibrium	Ziqi Zhang, Cunxiang Wang, Xiao Xiong, Yue Zhang, Donglin Wang	N/A	N/A
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention	Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou	N/A	N/A
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector	Xiaoxue Cheng, Junyi Li, Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di ZHANG, Kun Gai, Ji-Rong Wen	N/A	N/A
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding	Wei Li, Zhen Huang, Xinmei Tian, Le Lu, Houqiang Li, Xu Shen, Jieping Ye	N/A	N/A
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History	Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark Gales, Mario Fritz	N/A	N/A
Social Bias Probing: Fairness Benchmarking for Language Models	Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein	N/A	N/A
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models	Wenhao Yu, Hongming Zhang, Xiaoman Pan, peixin cao, Kaixin Ma, Jian Li, Hongwei Wang, Dong Yu	N/A	N/A
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models	Jiabao Pan, Yan Zhang, Chen Zhang, Zuozhu Liu, Hongwei Wang, Haizhou Li	N/A	N/A
Revisiting Automated Evaluation for Long-form Table Question Answering in the Era of Large Language Models	Yuqi Wang, Lyuhao Chen, Yilun Zhao	N/A	N/A
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems	Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He	N/A	N/A
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning	Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang	N/A	N/A
FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents	Yilun Zhao, Yitao Long, Tintin Jiang, Weiyuan Chen, Chengye Wang, Hongjun Liu, Xiangru Tang, Yiming Zhang, Chen Zhao, Arman Cohan	N/A	N/A
Extracting Prompts by Inverting LLM Outputs	Collin Zhang, John Xavier Morris, Vitaly Shmatikov	N/A	N/A
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs	Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu	N/A	N/A
VHASR: A Multimodal Speech Recognition System With Vision Hotwords	Jiliang Hu, Zuchao Li, Ping Wang, Haojun Ai, Lefei Zhang, hai zhao	N/A	N/A
A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors	Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell	N/A	N/A
Bridging Local Details and Global Context in Text-Attributed Graphs	Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, liyunfei, Siliang Tang	N/A	N/A
Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks	Felermino D. M. A. Ali, Henrique Lopes Cardoso, Rui Sousa-Silva	N/A	N/A
RepMatch: Quantifying Cross-Instance Similarities in Representation Space	Mohammad Reza Modarres, Sina Abbasi, Mohammad Taher Pilehvar	N/A	N/A
Commonsense Knowledge Editing Based on Free-Text in LLMs	Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu	N/A	N/A
A Closer Look at Multidimensional Online Political Incivility	Sagi Pendzel, Nir Lotan, Alon Zoizner, Einat Minkov	N/A	N/A
Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training	Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu	N/A	N/A
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation	Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky	N/A	N/A
Unsupervised Named Entity Disambiguation for Low Resource Domains	Debarghya Datta, Soumajit Pramanik	N/A	N/A
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers	Viktoriia A. Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan Oseledets	N/A	N/A
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion	Qingyang Li, Yanru Zhong, Yuchu Qin	N/A	N/A
ActPlan-1K: Benchmarking the Procedural Planning Ability of Visual Language Models in Household Activities	Ying Su, Zhan Ling, Haochen Shi, Cheng Jiayang, Yauwai Yim, Yangqiu Song	N/A	N/A
Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning	Xiaopeng Xie, Ming YAN, Xiwen Zhou, Chenlong Zhao, Suli Wang, Yong Zhang, Joey Tianyi Zhou	N/A	N/A
GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients	Aashiq Muhamed, Oscar Li, David Woodruff, Mona T. Diab, Virginia Smith	N/A	N/A
RaTEScore: A Metric for Entity-Aware Radiology Text Similarity	Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Weidi Xie	N/A	N/A
HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning	Shayan Ali Akbar, Md Mosharaf Hossain, Tess Wood, Si-Chi Chin, Victor Alvarez, Erica M Salinas, Erwin Cornejo	N/A	N/A
Learning to Rank Salient Content for Query-focused Summarization	Sajad Sotudeh, Nazli Goharian	N/A	N/A
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions	Qian Ruan, Ilia Kuznetsov, Iryna Gurevych	N/A	N/A
LitSearch: A Retrieval Benchmark for Scientific Literature Search	Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao	N/A	N/A
Open-world Multi-label Text Classification with Extremely Weak Supervision	Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang	N/A	N/A
LMs learn governing principles of dynamical systems, revealing an in-context neural scaling law	Toni J.B. Liu, Nicolas Boulle, Raphaël Sarfati, Christopher Earls	N/A	N/A
AKEW: Assessing Knowledge Editing in the Wild	Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu	N/A	N/A
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation	Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh	N/A	N/A
Dense X Retrieval: What Retrieval Granularity Should We Use?	Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu	N/A	N/A
Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach	Yanchen Liu, Mingyu Derek Ma, Wenna Qin, Azure Zhou, Jiaao Chen, Weiyan Shi, Wei Wang, Diyi Yang	N/A	N/A
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models	Zheng Zhao, Yftah Ziser, Shay B Cohen	N/A	N/A
XDetox: Text Detoxification with Token-Level Toxicity Explanations	Beomseok Lee, Hyunwoo Kim, Keon Kim, Yong Suk Choi	N/A	N/A
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach	ZiHao Xiao, Jiefu Gong, Shijin Wang, Wei Song	N/A	N/A
Evaluating LLMs’ Capability in Satisfying Lexical Constraints	Bingxuan Li, Yiwei Wang, Tao Meng, Nanyun Peng, Kai-Wei Chang	N/A	N/A
Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion	Chenyu Qiu, Pengjiang Qian, Chuang Wang, Jian Yao, Li Liu, Fang wei, Eddie Y.K. Eddie	N/A	N/A
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning	Lu Chen, Rui Zheng, Binghai Wang, Senjie Jin, Caishuang Huang, Junjie Ye, Zhihao Zhang, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts	Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng	N/A	N/A
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models	Zi’ou Zheng, Christopher Malon, Martin Renqiang Min, Xiaodan Zhu	N/A	N/A
Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning	Panuthep Tasawong, Peerat Limkonchotiwat, Potsawee Manakul, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong	N/A	N/A
MetaBench: Planning of Multiple APIs from Various APPs for Complex User Instruction	Hongru WANG, Rui Wang, Boyang XUE, Heming Xia, Jingtao Cao, Zeming Liu, Jeff Z. Pan, Kam-Fai Wong	N/A	N/A
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment	Zhipeng Chen, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen	N/A	N/A
AudioVSR: Enhancing Video Speech Recognition with Audio Data	Xiaoda Yang, Xize Cheng, Jiaqi Duan, Hongshun Qiu, Minjie Hong, Minghui Fang, Shengpeng Ji, Jialong Zuo, Zhiqing Hong, Zhimeng Zhang, Tao Jin	N/A	N/A
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?	Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried	N/A	N/A
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level	Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu	N/A	N/A
Re-ReST: Reflection-Reinforced Self-Training for Language Agents	Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng	N/A	N/A
Effective Synthetic Data and Test-Time Adaptation for OCR Correction	Shuhao Guan, Cheng Xu, Moule Lin, Derek Greene	N/A	N/A
SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework	Fu Zhang, Qi Miao, Jingwei Cheng, Hongsen Yu, Yi Yan, Xin Li, YongxueWu	N/A	N/A
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension	Junzhuo Liu, Xuzheng Yang, WEIWEI LI, Peng Wang	N/A	N/A
Exploring the Learning Capabilities of Language Models using LEVERWORLDS	Eitan Wagner, Amir Feder, Omri Abend	N/A	N/A
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models	Eitan Wagner, Yuli Slavutsky, Omri Abend	N/A	N/A
DocEditAgent: Document Structure Editing Via Multimodal LLM Grounding	Manan Suri, Puneet Mathur, Franck Dernoncourt, Rajiv Jain, Vlad I Morariu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha	N/A	N/A
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging	Tzu-Han Lin, Chen-An Li, Hung-yi Lee, Yun-Nung Chen	N/A	N/A
Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing	Ifeoluwa Wuraola, Nina Dethlefs, Daniel Marciniak	N/A	N/A
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding	Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou	N/A	N/A
Re-Reading Improves Reasoning in Large Language Models	Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-Guang Lou, Shuai Ma	N/A	N/A
Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis	Qingcheng Zeng, Mingyu Jin, Rob Voigt	N/A	N/A
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments	Sourjyadip Ray, Kushal Gupta, Soumi Kundu, Dr Payal Arvind Kasat, Somak Aditya, Pawan Goyal	N/A	N/A
Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations	Jiyi Li	N/A	N/A
Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation	Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu	N/A	N/A
Revisiting Supervised Contrastive Learning for Microblog Classification	Junbo Huang, Ricardo Usbeck	N/A	N/A
BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting	Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang	N/A	N/A
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective	Zhaotian Weng, Zijun Gao, Jerone Andrews, Jieyu Zhao	N/A	N/A
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing	Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei	N/A	N/A
SciAgent: Tool-augmented Language Models for Scientific Reasoning	Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun	N/A	N/A
Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents	Dong Won Lee, Hae Won Park, Yoon Kim, Cynthia Breazeal, Louis-Philippe Morency	N/A	N/A
Towards Measuring and Modeling “Culture” in LLMs: A Survey	Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, Siddhant Shivdutt Singh, Alham Fikri Aji, Jacki O’Neill, Ashutosh Modi, Monojit Choudhury	N/A	N/A
ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models	Haiquan Zhao, Lingyu Li, Shisong Chen, Shuqi Kong, Jiaan Wang, Kexin Huang, Tianle Gu, Yixu Wang, Jian Wang, Liang Dandan, Zhixu Li, Yan Teng, Yanghua Xiao, Yingchun Wang	N/A	N/A
Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting	Sagnik Mukherjee, Muhammad Farid Adilazuarda, Sunayana Sitaram, Kalika Bali, Alham Fikri Aji, Monojit Choudhury	N/A	N/A
Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features	Xiao Yu, Kejiang Chen, Qi Yang, Weiming Zhang, Nenghai Yu	N/A	N/A
Hate Personified: Investigating the role of LLMs in content moderation pipeline for hate speech	Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexander Fraser, Tanmoy Chakraborty	N/A	N/A
Temporally Consistent Factuality Probing for Large Language Models	Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy Chakraborty	N/A	N/A
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives	Zihao Li, Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann	N/A	N/A
Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators	Prasoon Bajpai, Niladri Chatterjee, Subhabrata Dutta, Tanmoy Chakraborty	N/A	N/A
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training	Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng	N/A	N/A
Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability	Xinyu Hu, Li Lin, Mingqi Gao, Xunjian Yin, Xiaojun Wan	N/A	N/A
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging	Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, hanyu Zhao, Siqi Fan, Zheng Zhang	N/A	N/A
Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning	Sam Spilsbury, Pekka Marttinen, Alexander Ilin	N/A	N/A
FAME: Factual Multi-task Model Editing Benchmark	Li Zeng, Yingyu Shan, Zeming Liu, Jiashu Yao, Yuhang Guo	N/A	N/A
MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance	Renjie Pi, Tianyang Han, Jianshu Zhang, Yueqi XIE, Rui Pan, Qing LIAN, Hanze Dong, Jipeng Zhang, Tong Zhang	N/A	N/A
Leveraging Large Language Models for NLG Evaluation: Advances and Challenges	Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Yuxuan Lai, Chongyang Tao, Shuai Ma	N/A	N/A
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs	Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang	N/A	N/A
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models	Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin	N/A	N/A
CorrSynth - A Correlated Sampling Method for Diverse dataset Generation from LLMs	Abhishek Divekar, Suhas S Kowshik, Vijit Malik	N/A	N/A
Defining Knowledge: Bridging Epistemology and Large Language Models	Constanza Fierro, Ruchira Dhar, Filippos Stamatiou, Nicolas Garneau, Anders Søgaard	N/A	N/A
TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs	Peiwen Jiang, Zibo Zhao, Xinbo Lin, Ruhui Ma, Yvonne Jie Chen, Jinhua Cheng	N/A	N/A
Free your mouse! Command Large Language Models to Generate Code to Format Word Documents	Shihao Rao, Liang Li, Jiapeng Liu, Guan Weixin, Xiyan Gao, bing lim	N/A	N/A
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models	Jiawei Gu, Zacc Yang, Chuanghao Ding, Rui Zhao, Fei Tan	N/A	N/A
The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs	Tianyang Han, Qing LIAN, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang	N/A	N/A
Rationale-Aware Answer Verification by Pairwise Self-Evaluation	Akira Kawabata, Saku Sugawara	N/A	N/A
On the Robustness of Editing Large Language Models	Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, hai zhao, lifeng Liu, Yulong Wang	N/A	N/A
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method	MiHyeon Kim, Juhyoung Park, YoungBin Kim	N/A	N/A
Distract Large Language Models for Automatic Jailbreak Attack	Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen	N/A	N/A
Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification	He-Zhe Lin, Cheng-Hung Liu, Chih-Jen Lin	N/A	N/A
WorryWords: Norms of Anxiety Association for 44,450 English Words	Saif M. Mohammad	N/A	N/A
Finding Blind Spots in Evaluator LLMs with Interpretable Checklists	Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma, Mitesh M Khapra	N/A	N/A
LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration	Jun Zhao, Can Zu, Xu Hao, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments	Till Raphael Saenger, Musashi Hinck, Justin Grimmer, Brandon M. Stewart	N/A	N/A
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs	Simone Conia, Daniel Lee, Min Li, Umar Farooq Minhas, Saloni Potdar, Yunyao Li	N/A	N/A
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems	Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang	N/A	N/A
Scaling Laws for Linear Complexity Language Models	Xuyang Shen, Dong Li, Ruitao Leng, Zhen Qin, Weigao Sun, Yiran Zhong	N/A	N/A
Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards	Heejin Do, Sangwon Ryu, Gary Lee	N/A	N/A
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis	Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Johnson	N/A	N/A
ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models	Fu Zhang, Yifan Ding, Jingwei Cheng	N/A	N/A
LM2: A Simple Society of Language Models Solves Complex Reasoning	Gurusha Juneja, Subhabrata Dutta, Tanmoy Chakraborty	N/A	N/A
Towards a Semantically-aware Surprisal Theory	Clara Meister, Mario Giulianelli, Tiago Pimentel	N/A	N/A
Multi-Level Information Retrieval Augmented Generation for Knowledge-based Visual Question Answering	Adjali Omar, Olivier Ferret, Sahar Ghannay, Hervé Le Borgne	N/A	N/A
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?	Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu	N/A	N/A
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP	Omer Goldman, Alon Jacovi, Aviv Slobodkin, Aviya Maimon, Ido Dagan, Reut Tsarfaty	N/A	N/A
BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training	Pavel Chizhov, Catherine Arnett, Elizaveta Korotkova, Ivan P. Yamshchikov	N/A	N/A
SEGMENT+: Long Text Processing with Short-Context Language Models	Wei Shi, Shuang Li, Kerun Yu, Jinglei Chen, Zujie Liang, Xinhui Wu, Yuxi Qian, Feng Wei, Bo Zheng, Jiaqing Liang, Jiangjie Chen, Yanghua Xiao	N/A	N/A
Explicit Memory Learning with Expectation Maximization	Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang	N/A	N/A
Learning to Generate Writing Feedback via Language Model Simulated Student Revisions	Inderjeet Jayakumar Nair, Jiaye Tan, Xiaotian Su, Anne Gere, Xu Wang, Lu Wang	N/A	N/A
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent	Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang	N/A	N/A
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions	Clement Neo, Shay B Cohen, Fazl Barez	N/A	N/A
Still Not Quite There! Assessing Large Language Models for Comorbid Mental Health Diagnosis	Amey Hengle, Atharva Kulkarni, Shantanu Deepak Patankar, Rashmi Gupta	N/A	N/A
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning	Shaobo Cui, Zhijing Jin, Bernhard Schölkopf, Boi Faltings	N/A	N/A
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups	Răzvan-Alexandru Smădu, David-Gabriel ION, Dumitru-Clementin Cercel, Florin Pop, Mihaela-Claudia Cercel	N/A	N/A
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue	Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng	N/A	N/A
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!	Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, Tanmoy Chakraborty	N/A	N/A
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations	Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam .	N/A	N/A
**YesBut	Abhilash Nandy, Yash Agarwal, Ashish Patwa, Millon Madhur Das, Aman Bansal, ANKIT RAJ, Pawan Goyal, Niloy Ganguly	N/A	N/A
Scaling Cognitive Limits: Identifying Working Memory Limits in LLMs	Chunhui Zhang, Yiren Jian, Zhongyu Ouyang, Soroush Vosoughi	N/A	N/A
RAFT: Realistic Attacks to Fool Text Detectors	James Liyuan Wang, Ran Li, Junfeng Yang, Chengzhi Mao	N/A	N/A
LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks	Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro	N/A	N/A
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping	AJAY KUMAR JAISWAL, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella	N/A	N/A
LLM-based Code-Switched Text Generation for Grammatical Error Correction	Tom Potter, Zheng Yuan	N/A	N/A
Deciphering the Interplay of Parametric and Non-Parametric Memory in RAG Models	Mehrdad Farahani, Richard Johansson	N/A	N/A
On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning	Geewook Kim, Minjoon Seo	N/A	N/A
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities	Zihao He, Rebecca Dorn, Minh Duc Chu, Siyi Guo, Kristina Lerman	N/A	N/A
Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models	Eldar Kurtic, Amir Moeini, Dan Alistarh	N/A	N/A
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models	Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna	N/A	N/A
One Thousand and One Pairs: A “novel” challenge for long-context language models	Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, Mohit Iyyer	N/A	N/A
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation	Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung	N/A	N/A
Do LLMs learn a true syntactic universal?	John T. Hale, Miloš Stanojević	N/A	N/A
GDPO: Learning to Align Language Models with Diversity Using GFlowNets	Oh Joon Kwon, Daiki E. Matsunaga, Kee-Eung Kim	N/A	N/A
How Susceptible are Large Language Models to Ideological Manipulation?	Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman	N/A	N/A
Measuring Psychological Depth in Language Models	Fabrice Y Harel-Canada, Hanyu Zhou, Sreya Muppalla, Zeynep Senahan Yildiz, Miryung Kim, Nanyun Peng, Amit Sahai	N/A	N/A
Media Attitude Detection via Framing Analysis with Events and their Relations	Jin Zhao, Jingxuan Tu, Han Du, Nianwen Xue	N/A	N/A
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data	Yang Ba, Michelle V Mancenido, Rong Pan	N/A	N/A
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations	Sagi Shaier, Ari Kobren, Philip V. Ogren	N/A	N/A
Granular Privacy Control for Geolocation with Vision Language Models	Ethan Mendes, Yang Chen, James Hays, Sauvik Das, Wei Xu, Alan Ritter	N/A	N/A
MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain	Chao Jiang, Wei Xu	N/A	N/A
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification	Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang	N/A	N/A
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization	Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao	N/A	N/A
StorySpark: Expert-Annotated QA Pairs with Real-World Knowledge for Children Storytelling	Jiaju Chen, Yuxuan Lu, Shao Zhang, Bingsheng Yao, Yuanzhe Dong, Ying Xu, Yunyao Li, Qianwen Wang, Dakuo Wang, Yuling Sun	N/A	N/A
MedCoT: Medical Chain of Thought via Hierarchical Expert	Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, Zuozhu Liu	N/A	N/A
Varying Sentence Representations via Condition-Specified Routers	Ziyong Lin, Quansen Wang, Zixia Jia, Zilong Zheng	N/A	N/A
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues	Jiao Ou, jiayu wu, Che Liu, Fuzheng Zhang, Di ZHANG, Kun Gai	N/A	N/A
Information Flow Routes: Automatically Interpreting Language Models at Scale	Javier Ferrando, Elena Voita	N/A	N/A
A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models	Houquan Zhou, Zhenghua Li, Bo Zhang, Chen Li, Shaopeng Lai, Ji Zhang, Fei Huang, Min Zhang	N/A	N/A
Low-rank Subspace for Binding in Large Language Models	Qin Dai, Benjamin Heinzerling, Kentaro Inui	N/A	N/A
CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference	Erxin Yu, Jing Li, Ming Liao, Siqi Wang, GAO Zuchen, Fei Mi, Lanqing HONG	N/A	N/A
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures	Tobias Schimanski, Jingwei Ni, Roberto Spacey Martín, Nicola Ranger, Markus Leippold	N/A	N/A
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs	LIU Ran, Zhongzhou Liu, Xiaoli Li, Yuan Fang	N/A	N/A
Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness	Shixuan Ma, Quan Wang	N/A	N/A
Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection	Zhanpeng Chen, Zhihong Zhu, Xianwei Zhuang, Zhiqi Huang, Yuexian Zou	N/A	N/A
From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking	Siyuan Wang, Zhuohan Long, Zhihao Fan, zhongyu wei	N/A	N/A
Symbolic Working Memory Enhances Language Models for Complex Rule Application	Siyuan Wang, zhongyu wei, Yejin Choi, Xiang Ren	N/A	N/A
LLoCO: Learning Long Contexts Offline	Sijun Tan, Xiuyu Li, Shishir G Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Popa	N/A	N/A
Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration	Xin Mao, Feng-Lin Li, Huimin Xu, Wei Zhang, WANG CHEN, Anh Tuan Luu	N/A	N/A
Mentor-KD: Making Small Language Models Better Multi-step Reasoners	Hojae Lee, Junho Kim, SangKeun Lee	N/A	N/A
Are Large Language Models Capable of Generating Human-Level Narratives?	Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng	N/A	N/A
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs	Yerin Hwang, Yongil Kim, Yunah Jang, Jeesoo Bang, Hyunkyung Bae, Kyomin Jung	N/A	N/A
Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction	Haohui Lu, Usman Naseem	N/A	N/A
Searching for Best Practices in Retrieval-Augmented Generation	Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang	N/A	N/A
Moral Foundations of Large Language Models	Marwa Abdulhai, Gregory Serapio-García, Clement CREPY, Daria Valter, John Canny, Natasha Jaques	N/A	N/A
The Zeno’s Paradox of ‘Low-Resource’ Languages	Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman, Thamar Solorio, Monojit Choudhury	N/A	N/A
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization	Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md Shad Akhtar	N/A	N/A
Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition	Pritika Ramu, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan	N/A	N/A
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment	Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima	N/A	N/A
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging	Deyuan Liu, Zhanyue Qin, Hairu Wang, Zhao Yang, Zecheng Wang, Fangying Rong, Qingbin Liu, Yanchao Hao, Bo Li, Xi Chen, Cunhang Fan, Zhao Lv, Dianhui Chu, Zhiying Tu, Dianbo Sui	N/A	N/A
Embedded Named Entity Recognition using Probing Classifiers	Nicholas Popovic, Michael Färber	N/A	N/A
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training	Zhou Zhang, Dongzeng Tan, Jiaan Wang, Yilong Chen, Jiarong Xu	N/A	N/A
Data Contamination Can Cross Language Barriers	Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang	N/A	N/A
Automated Essay Scoring: A Reflection on the State of the Art	Shengjie Li, Vincent Ng	N/A	N/A
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate	Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Shuming Shi, Zhaopeng Tu	N/A	N/A
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs	Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
CURE: Context- and Uncertainty-Aware Mental Disorder Detection	Migyeong Kang, goun choi, Hyolim Jeon, Ji hyun An, Daejin Choi, Jinyoung Han	N/A	N/A
PepRec: Progressive Enhancement of Prompting for Recommendation	Yakun Yu, Shi-ang Qi, Baochun Li, Di Niu	N/A	N/A
In-Context Compositional Generalization for Large Vision-Language Models	Chuanhao Li, Chenchen Jing, Zhen Li, Mingliang Zhai, Yuwei Wu, Yunde Jia	N/A	N/A
Improving Zero-shot LLM Re-Ranker with Risk Minimization	Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu	N/A	N/A
Game on Tree: Visual Hallucination Mitigation via Coarse-to-Fine View Tree and Game Theory	Xianwei Zhuang, Zhihong Zhu, Zhanpeng Chen, Yuxin Xie, Liming Liang, Yuexian Zou	N/A	N/A
Label Confidence Weighted Learning for Target-level Sentence Simplification	Jingshen Zhang, Xin Ying Qiu	N/A	N/A
Quantum Recurrent Architectures for Text Classification	Wenduan Xu, Stephen Clark, Douglas Brown, Gabriel Matos, Konstantinos Meichanetzidis	N/A	N/A
Tree of Problems: Improving structured problem solving with compositionality	Armel Randy Zebaze, Benoît Sagot, Rachel Bawden	N/A	N/A
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study	Beatrice Savoldi, Sara Papi, Matteo Negri, Ana Guerberof-Arenas, Luisa Bentivogli	N/A	N/A
Seg2Act: Global Context-aware Action Generation for Document Logical Structuring	Zichao Li, Shaojie He, Meng Liao, Xuanang Chen, Yaojie Lu, Hongyu Lin, Yanxiong Lu, Xianpei Han, Le Sun	N/A	N/A
Is C4 Dataset Enough for Pruning? An Investigation of Calibration Data for LLM Pruning	Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, AJAY KUMAR JAISWAL, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu	N/A	N/A
Revisiting the Robustness of Watermarking to Paraphrasing Attacks	Saksham Rastogi, Danish Pruthi	N/A	N/A
A Survey of Ontology Expansion for Conversational Understanding	Jinggui Liang, Yuxia Wu, Yuan Fang, Hao Fei, Lizi Liao	N/A	N/A
Calibrating Language Models with Adaptive Temperature Scaling	Johnathan Xie, Annie S Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn	N/A	N/A
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?	Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo	N/A	N/A
Why do objects have many names? A study on word informativeness in language use and lexical systems.	Eleonora Gualdoni, Gemma Boleda	N/A	N/A
Dual-Space Knowledge Distillation for Large Language Models	Songming Zhang, Xue Zhang, Zengkui Sun, Yufeng Chen, Jinan Xu	N/A	N/A
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition	Elena Merdjanovska, Ansar Aynetdinov, Alan Akbik	N/A	N/A
On the Universal Truthfulness Hyperplane Inside LLMs	Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He	N/A	N/A
PairDistill: Pairwise Relevance Distillation for Dense Retrieval	Chao-Wei Huang, Yun-Nung Chen	N/A	N/A
User Inference Attacks on Large Language Models	Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu	N/A	N/A
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy	YongKang Liu, Yiqun Zhang, Qian Li, Tong Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schuetze	N/A	N/A
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models	Yufang Liu, Tao Ji, Changzhi Sun, Yuanbin Wu, Aimin Zhou	N/A	N/A
Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation	Matthew Raffel, Victor Agostinelli, Lizhong Chen	N/A	N/A
ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback	Qinzhuo Wu, Wei Liu, Jian Luan, Bin Wang	N/A	N/A
Please note that I’m just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification	Esra Dönmez, Thang Vu, Agnieszka Falenska	N/A	N/A
How to Compute the Probability of a Word	Tiago Pimentel, Clara Meister	N/A	N/A
A linguistically-motivated evaluation methodology for unraveling model’s abilities in reading comprehension tasks	Elie Antoine, Frederic Bechet, Géraldine Damnati, Philippe Langlais	N/A	N/A
GuardBench: A Large-Scale Benchmark for Guardrail Models	Elias Bassani, Ignacio Sanchez	N/A	N/A
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering	Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu	N/A	N/A
Language models and brains align due to more than next-word prediction and word-level information	Gabriele Merlin, Mariya Toneva	N/A	N/A
LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement	Zijin Feng, Luyang Lin, Lingzhi Wang, Hong Cheng, Kam-Fai Wong	N/A	N/A
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures	Ekaterina Sviridova, Anar Yeginbergen, Ainara Estarrona, Elena Cabrio, Serena Villata, Rodrigo Agerri	N/A	N/A
A Simple and Effective $L_2$ Norm-Based Strategy for KV Cache Compression	Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini	N/A	N/A
GOME: Grounding-based Metaphor Binding With Conceptual Elaboration For Figurative Language Illustration	Linhao Zhang, Jintao Liu, Li Jin, Hao Wang, kaiwen wei, Guangluan Xu	N/A	N/A
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation	Aida Mostafazadeh Davani, Mark Diaz, Dylan K Baker, Vinodkumar Prabhakaran	N/A	N/A
PALM: Few-Shot Prompt Learning for Audio Language Models	Asif Hanif, Maha Tufail Agro, Mohammad Areeb Qazi, Hanan Aldarmaki	N/A	N/A
Annotator-Centric Active Learning for Subjective NLP Tasks	Michiel van der Meer, Neele Falk, Pradeep K. Murukannaiah, Enrico Liscio	N/A	N/A
Lost in Tokenization: How to Measure Word Surprisal From LM Token Probabilities	Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell, Mario Giulianelli	N/A	N/A
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation	Anas Himmi, Guillaume Staerman, Marine Picot, Pierre Colombo, Nuno M Guerreiro	N/A	N/A
Jailbreaking LLMs with Arabic Transliteration and Arabizi	Mansour Al Ghanim, saleh almohaimeed, Mengxin Zheng, Yan Solihin, Qian Lou	N/A	N/A
Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models	Zara Siddique, Liam Turner, Luis Espinosa-Anke	N/A	N/A
Instruction Matters, a Simple yet Effective Task Selection Approach in Instruction Tuning for Specific Tasks	Changho Lee, Janghoon Han, Seonghyeon Ye, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae	N/A	N/A
Recurrent Alignment with Hard Attention for Hierarchical Text Rating	Chenxi Lin, Ren Jiayu, Guoxiu He, Zhuoren Jiang, Haiyan yu, Xiaomin Zhu	N/A	N/A
CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification	Junhui He, Shangyu Wu, Weidong Wen, Chun Jason Xue, Qingan Li	N/A	N/A
Semformer: Transformer Language Models with Semantic Planning	Yongjing Yin, Junran Ding, Kai Song, Yue Zhang	N/A	N/A
DocCGen: Document-based Controlled Code Generation	Sameer Pimparkhede, Mehant Kammakomati, Srikanth G. Tamilselvam, Prince Kumar, Ashok Pon Kumar, Pushpak Bhattacharyya	N/A	N/A
Semantics and Sentiment: Cross-lingual Variations in Emoji Use	Giulio Zhou, Sydelle de Souza, Ella Markham, Oghenetekevwe Kwakpovwe, Sumin Zhao	N/A	N/A
The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations	Daniel Akkerman, Phong Le, Raquel G. Alhama	N/A	N/A
Transformers are Multi-State RNNs	Matanel Oren, Michael Hassid, Nir Yarden, Yossi Adi, Roy Schwartz	N/A	N/A
Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization	Niyati Bafna, Kenton Murray, David Yarowsky	N/A	N/A
Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion	Kerem Zaman, Leshem Choshen, Shashank Srivastava	N/A	N/A
Collective Critics for Creative Story Generation	Minwook Bae, Hyounghun Kim	N/A	N/A
Surprisal Curves of Discourse	Eleftheria Tsipidi, Franz Nowak, Ryan Cotterell, Ethan Wilcox, Mario Giulianelli, Alex Warstadt	N/A	N/A
Model-based Preference Optimization in Abstractive Summarization without Human Feedback	Jaepill choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim	N/A	N/A
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?	Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
NeuroTrialNER: An Annotated Corpus for Neurological Diseases and Therapies in Clinical Trial Registries	Simona Emilova Doneva, Tilia Ellendorff, Jean-Philippe Goldman, Amelia Elaine Cannon, Gerold Schneider, Beate Sick, Benjamin Victor Ineichen	N/A	N/A
Do Explanations Help or Hurt? Saliency Maps vs Natural Language Explanations in a Clinical Decision-Support Setting	Maxime Guillaume Kayser, Bayar Menzat, Cornelius Emde, Bogdan Alexandru Bercean, Alex Novak, Abdalá Trinidad Espinosa Morgado, Bartlomiej Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu	N/A	N/A
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering	WEIHE ZHAI, Arkaitz Zubiaga, Bingquan Liu, Chengjie Sun, Yalong Zhao	N/A	N/A
Generation with Dynamic Vocabulary	Yanting Liu, Tao Ji, Yuanbin Wu, Xiaoling Wang, Changzhi Sun	N/A	N/A
Argument Relation Classification through Discourse Markers and Adversarial Training	Michele Luca Contalbo, Francesco Guerra, Matteo Paganelli	N/A	N/A
Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection	Abhishek Purushothama, Adam Wiemerslage, Katharina von der Wense	N/A	N/A
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval	Dae Yon Hwang, Bilal Taha, Harshit Pande, Yaroslav Nechaev	N/A	N/A
Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language Models	Po-Heng Chen, Yun-Nung Chen	N/A	N/A
Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation	Ruiyu Xiao, Lei Wu, Yuhang Gou, Weinan Zhang, Ting Liu	N/A	N/A
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning	Kate Sanders, Nathaniel Weir, Benjamin Van Durme	N/A	N/A
Unsupervised Extraction of Dialogue Policies from Conversations	Makesh Narsimhan Sreedhar, Traian Rebedea, Christopher Parisien	N/A	N/A
GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization	Onkar Kishor Susladkar, Gayatri Sudhir Deshmukh, Vandan Gorade, Sparsh Mittal	N/A	N/A
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality	Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim	N/A	N/A
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture	Wenyan Li, Crystina Zhang, Jiaang Li, Qiwei Peng, Raphael Tang, Li Zhou, Weijia Zhang, Guimin Hu, Yifei Yuan, Anders Søgaard, Daniel Hershcovich, Desmond Elliott	N/A	N/A
A Two-Step Approach for Data-Efficient French Pronunciation Learning	Hoyeon Lee, Hyeeun Jang, JONGHWAN KIM, Jaemin Kim	N/A	N/A
Exploring Intra and Inter-language Consistency in Embeddings with ICA	Rongzhi Li, Takeru Matsuda, Hitomi Yanaka	N/A	N/A
DetoxLLM: A Framework for Detoxification with Explanations	Md Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan	N/A	N/A
Building a Multi-Platform, BERT Classifier for Detecting Connective Language	Josephine Lukito, Bin Chen, Gina M. Masullo, Natalie Jomini Stroud	N/A	N/A
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models	Yash Akhauri, Ahmed F AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M Rush, Safeen Huda, Mohamed S Abdelfattah	N/A	N/A
Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health	Krishnapriya Vishnubhotla, Daniela Teodorescu, Mallory J Feldman, Kristen Lindquist, Saif M. Mohammad	N/A	N/A
BLSP-Emo: Towards Empathetic Large Speech-Language Models	Chen Wang, Minpeng Liao, Zhongqiang Huang, Junhong Wu, Chengqing Zong, Jiajun Zhang	N/A	N/A
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation	Abhishek Divekar, Greg Durrett	N/A	N/A
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model	Wenqi Zhang, Zhenglin Cheng, Yuanyu He, Mengna Wang, Yongliang Shen, Zeqi Tan, Guiyang Hou, Mingqian He, Yanna Ma, Weiming Lu, Yueting Zhuang	N/A	N/A
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts	Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty	N/A	N/A
DEM: Distribution Edited Model for Training with Mixed Data Distributions	Dhananjay Ram, Aditya Rawal, Momchil Hardalov, Nikolaos Pappas, Sheng Zha	N/A	N/A
Altogether: Image Captioning via Re-aligning Alt-text	Hu Xu, Po-Yao Huang, Xiaoqing Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer	N/A	N/A
VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp	Seo Yeon Park, Cornelia Caragea	N/A	N/A
CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans	Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Ray Mooney	N/A	N/A
Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics	Théo Gigant, Camille Guinaudeau, Marc decombas, Frederic Dufaux	N/A	N/A
An Empirical Analysis of the Writing Styles of Persona-Assigned LLMs	Manuj Malik, Jing Jiang, Kian Ming A. Chai	N/A	N/A
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks	Amit Parekh, Nikolas Vitsakis, Alessandro Suglia, Ioannis Konstas	N/A	N/A
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning	Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev	N/A	N/A
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing	Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang	N/A	N/A
Sequential API Function Calling Using GraphQL Schema	Avirup Saha, Lakshmi Mandal, Balaji Ganesan, Sambit Ghosh, Renuka Sindhgatta, Carlos Eberhardt, Dan Debrunner, Sameep Mehta	N/A	N/A
The Illusion of Competence: Evaluating the Effect of Explanations on Users’ Mental Models of Visual Question Answering Systems	Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier, Sina Zarrieß	N/A	N/A
Re-Evaluating Evaluation for Multilingual Summarization	Jessica Zosa Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Minghao Wu, Carsten Eickhoff, Stella Biderman, Ellie Pavlick	N/A	N/A
Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding	Heng zhao, Zhao Yinjie, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou	N/A	N/A
A Fast and Sound Tagging Method for Discontinuous Named-Entity Recognition	Caio Filippo Corro	N/A	N/A
Factuality of Large Language Models in the Year 2024	Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Fei Liu, Georgi Nenkov Georgiev, Rocktim Jyoti Das, Preslav Nakov	N/A	N/A
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation	Youngwoo Kim, Razieh Rahimi, James Allan	N/A	N/A
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse	Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko	N/A	N/A
DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers	Rakesh R Menon, Shashank Srivastava	N/A	N/A
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning	Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha	N/A	N/A
Scope-enhanced Compositional Semantic Parsing for DRT	Xiulin Yang, Jonas Groschwitz, Alexander Koller, Johan Bos	N/A	N/A
The Generation Gap: Exploring Age Bias Underlying in the Value Systems of Large Language Models	Siyang Liu, Trisha Maturi, Bowen Yi, Siqi Shen, Rada Mihalcea	N/A	N/A
TempoFormer: A Transformer for Temporally-aware Representations in Change Detection	Talia Tseriotou, Adam Tsakalidis, Maria Liakata	N/A	N/A
Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?	Guillermo Marco, Julio Gonzalo, M.Teresa Mateo-Girona, Ramón del Castillo Santos	N/A	N/A
Evaluating Diversity in Automatic Poetry Generation	Yanran Chen, Hannes Gröner, Sina Zarrieß, Steffen Eger	N/A	N/A
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models	Yi Zhou, Danushka Bollegala, Jose Camacho-Collados	N/A	N/A
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection	Camilla Casula, Sebastiano Vecellio Salto, Alan Ramponi, Sara Tonelli	N/A	N/A
Grounding Language in Multi-Perspective Referential Communication	Zineng Tang, Lingjun Mao, Alane Suhr	N/A	N/A
Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval	Yifan Qiao, Parker Carlson, Shanxiu He, Yingrui Yang, Tao Yang	N/A	N/A
Error Analysis of Multilingual Language Models in Machine Translation for Low-resource Languages: A Case Study of Amharic to English Bi-directional Machine Translation	Hizkiel Mitiku Alemayehu, Hamada M Zahera, Axel-Cyrille Ngonga Ngomo	N/A	N/A
MIPD: Exploring Manipulation and Intention In a Novel Corpus of Polish Disinformation	Arkadiusz Modzelewski, Giovanni Da San Martino, Pavel Savov, Magdalena Anna Wilczyńska, Adam Wierzbicki	N/A	N/A
Unsupervised Discrete Representations of American Sign Language	Artem Abzaliev, Rada Mihalcea	N/A	N/A
Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models	Chani Jung, Dongkwan Kim, Jiho Jin, Jiseon Kim, Yeon Seonwoo, Yejin Choi, Alice Oh, Hyunwoo Kim	N/A	N/A
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs	Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, Seunghyun Yoon, Ryan A. Rossi, Trung Bui	N/A	N/A
Jump Starting Bandits with LLM-Generated Prior Knowledge	Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson	N/A	N/A
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?	Fırat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çağatay Yıldız	N/A	N/A
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation	Ruotong Pan, Boxi Cao, Hongyu Lin, Xianpei Han, Jia Zheng, Sirui Wang, Xunliang Cai, Le Sun	N/A	N/A
Virtual Personas for Language Models via an Anthology of Backstories	Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David Chan	N/A	N/A
Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?	Nemika Tyagi, Mihir Parmar, Mohith Kulkarni, Aswin RRV, Nisarg Patel, Mutsumi Nakamura, Arindam Mitra, Chitta Baral	N/A	N/A
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies	Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun	N/A	N/A
The Empirical Variability of Narrative Perceptions of Social Media Texts	Joel Mire, Maria Antoniak, Elliott Ash, Andrew Piper, Maarten Sap	N/A	N/A
Which questions should I answer? Salience Prediction of Inquisitive Questions	Yating Wu, Ritika Rajesh Mangla, Alex Dimakis, Greg Durrett, Junyi Jessy Li	N/A	N/A
Revealing Personality Traits: A New Benchmark Dataset for Explainable Personality Recognition on Dialogues	Lei Sun, Jinming Zhao, Qin Jin	N/A	N/A
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech	Guan-Ting Lin, Wei Ping Huang, Hung-yi Lee	N/A	N/A
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities	Sachit Menon, Richard Zemel, Carl Vondrick	N/A	N/A
CodeJudge: Evaluating Code Generation with Large Language Models	Weixi Tong, Tianyi Zhang	N/A	N/A
Self-Training Large Language and Vision Assistant for Medical	Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, ZHIQIANG TAO	N/A	N/A
SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization	Prakamya Mishra, Zonghai Yao, Parth Vashisht, Feiyun Ouyang, Beining Wang, Vidhi Dhaval Mody, hong yu	N/A	N/A
Defending Jailbreak Prompts via In-Context Adversarial Game	Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang	N/A	N/A
Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter	Kateryna Kasianenko, Shima Khanehzar, Stephen Wan, Ehsan Dehghan, Axel Bruns	N/A	N/A
Multilingual Topic Classification in X: Dataset and Analysis	Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Jose Camacho-Collados	N/A	N/A
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models	Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong	N/A	N/A
Updating CLIP to Prefer Descriptions Over Captions	Amir Zur, Elisa Kreiss, Karel D’Oosterlinck, Christopher Potts, Atticus Geiger	N/A	N/A
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research	Sian-Yao Huang, Cheng-Lin Yang, Che-Yu Lin, Chun-Ying Huang	N/A	N/A
Back to School: Translation Using Grammar Books	Jonathan Hus, Antonios Anastasopoulos	N/A	N/A
VIEWS: Entity-Aware News Video Captioning	Hammad Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, feng han, Yukun Zhu, Xuande Feng, Kevin Zhang, Jialu Liu, Shih-Fu Chang	N/A	N/A
Towards Aligning Language Models with Textual Feedback	Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan	N/A	N/A
ATPO: Automatic Tree-Structured Prompt Optimization	Sheng Yang, Yurong Wu, Yan Gao, Zineng Zhou, Xiaodi Sun, Bin Benjamin Zhu, Jian-Guang Lou, Zhiming Ding, Anbang Hu, Yuan Fang, Yunsong Li, Junyan Chen, Linjun Yang	N/A	N/A
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators	Xinglin Lyu, Junhui Li, Yanqing Zhao, Min Zhang, Daimeng Wei, shimin tao, Hao Yang, Min Zhang	N/A	N/A
DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection	Devleena Das, Vivek Khetan	N/A	N/A
Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models	Yuko Nakagi, Takuya Matsuyama, Naoko Koide-Majima, Hiroto Q. Yamaguchi, Rieko Kubo, Shinji Nishimoto, Yu Takagi	N/A	N/A
“They are uncultured”: Unveiling Covert Harms and Social Threats in LLM Generated Conversations	Preetam Prabhu Srikar Dammu, Hayoung Jung, Anjali Singh, Monojit Choudhury, Tanu Mitra	N/A	N/A
Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models	Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen	N/A	N/A
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?	Gabriel Roccabruna, Massimo Rizzoli, giuseppe riccardi	N/A	N/A
Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties	Keunwoo Peter Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, Joyce Chai	N/A	N/A
Framework for Robust and Scalable Text Watermarking	Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low	N/A	N/A
MASIVE: Open-Ended Affective State Identification in English and Spanish	Nicholas Deas, Elsbeth Turcan, Ivan Ernesto Perez Mejia, Kathleen McKeown	N/A	N/A
You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions	Tasnim Kabir, Yoo Yeon Sung, Saptarashmi Bandyopadhyay, Hao Zou, Abhranil Chandra, Jordan Lee Boyd-Graber	N/A	N/A
AlphaExpert: Assigning LoRA Experts Based on Layer Training Quality	Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi	N/A	N/A
Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling	Irfan Robbani, Paul Reisert, Surawat Pothong, Naoya Inoue, Camélia Guerraoui, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui	N/A	N/A
Advancing Social Intelligence in AI Agents: Technical Challenges and Open Question	Leena Mathur, Paul Pu Liang, Louis-Philippe Morency	N/A	N/A
RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models	Ziyi Kou, Shichao Pei, Meng Jiang, Xiangliang Zhang	N/A	N/A
Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese	Rifki Afina Putri, Faiz Ghifari Haznitrama, Dea Adhista, Alice Oh	N/A	N/A
Learnability of Indirect Evidence in Language Models	Miyu Oba, Yohei Oseki, Akiyo Fukatsu, Akari Haga, Hiroki Ouchi, Taro Watanabe, Saku Sugawara	N/A	N/A
Do LLMs Know to Respect Copyright Notice?	Jialiang Xu, SHENGLAN LI, Zhaozhuo Xu, Denghui Zhang	N/A	N/A
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding	Hanchi Sun, Tianyi Zhou, Xun Chen, Lichao Sun	N/A	N/A
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding	YeonJoon Jung, Jaeseong Lee, Seungtaek Choi, Dohyeon Lee, Minsoo Kim, seung-won hwang	N/A	N/A
Rethinking the Role of Proxy Rewards in Language Model Alignment	Sungdong Kim, Minjoon Seo	N/A	N/A
Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant	Abhirama Subramanyam Penamakuri, Anand Mishra	N/A	N/A
How Good is my MT Metric? A Framework for the Interpretation of Metric Assessments	Stefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, Edoardo Barba, Roberto Navigli	N/A	N/A
IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning	Soeun Lee, Si-Woo Kim, Taewhan Kim, Dong-Jin Kim	N/A	N/A
SPREADSHEETLLM: Encoding Spreadsheets for Large Language Models	Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang	N/A	N/A
Let’s discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality	Rositsa V Ivanova, Thomas Huber, Christina Niklaus	N/A	N/A
Automatic sentence segmentation of clinical record narratives in real-world data	Dongfang Xu, Davy Weissenbacher, Karen O’Connor, Siddharth Rawal, Graciela Gonzalez Hernandez	N/A	N/A
One-to-Many Communication and Compositionality in Emergent Communication	Heeyoung Lee	N/A	N/A
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities	Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang	N/A	N/A
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?	Alexander Arno Weber, Klaudia Thellmann, Jan Ebert, Nicolas Flores-Herr, Jens Lehmann, Michael Fromm, Mehdi Ali	N/A	N/A
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models	Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral	N/A	N/A
Contrastive Classification via Linear Layer Extrapolation	Mayukh Sharma, Sean O’Brien, Julian McAuley	N/A	N/A
Task Oriented In-Domain Data Augmentation	Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao	N/A	N/A
SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers	Shruti Singh, Nandan Sarkar, Arman Cohan	N/A	N/A
Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules	Zhuocheng Gong, Ang Lv, Jian Guan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan	N/A	N/A
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages	Youssef Mohamed, Runjia Li, Ibrahim Said Ahmad, Kilichbek Haydarov, Philip Torr, Kenneth Church, Mohamed Elhoseiny	N/A	N/A
PREDICT: Multi-Agent-based Debate Simulation for Generalized Hate Speech Detection	Someen Park, Jaehoon Kim, Seungwan Jin, Sohyun Park, Kyungsik Han	N/A	N/A
TokenVerse: Unifying Speech and NLP Tasks via Transducer-based ASR	Shashi Kumar, Srikanth Madikeri, Juan Pablo Zuluaga Gomez, Iuliia Thorbecke, Esaú VILLATORO-TELLO, Sergio Burdisso, Petr Motlicek, Karthik Pandia D S, Aravind Ganapathiraju	N/A	N/A
ApiQ: Finetuning of 2-Bit Quantized Large Language Model	Baohao Liao, Christian Herold, Shahram Khadivi, Christof Monz	N/A	N/A
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk	Zhiyuan Zeng, Qipeng Guo, Xiaoran Liu, Zhangyue Yin, Wentao Shu, Mianqiu Huang, Bo Wang, Yunhua Zhou, Linlin Li, Qun Liu, Xipeng Qiu	N/A	N/A
A Morphology-Based Investigation of Positional Encodings	Poulami Ghosh, Shikhar Vashishth, Raj Dabre, Pushpak Bhattacharyya	N/A	N/A
I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining	Vahid Ghafouri, Jose M. Such, Guillermo Suarez-Tangil	N/A	N/A
BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability	Mamta Mamta, Rishikant Chigrupaatii, Asif Ekbal	N/A	N/A
ArMeme: Propagandistic Content in Arabic Memes	Firoj Alam, Abul Hasnat, Fatema Ahmad, Md. Arid Hasan, Maram Hasanain	N/A	N/A
Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts	Arianna Muti, Federico Ruggeri, Khalid Al Khatib, Alberto Barrón-Cedeño, Tommaso Caselli	N/A	N/A
Thoughts to Target: Enhance Planning for Target-driven Conversation	Zhonghua Zheng, Lizi Liao, Yang Deng, Ee-Peng Lim, Minlie Huang, Liqiang Nie	N/A	N/A
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging	Clara Na, Ian Magnusson, Ananya Harsh Jha, Tom Sherborne, Emma Strubell, Jesse Dodge, Pradeep Dasigi	N/A	N/A
Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation	Zhe Cao, Zhi Qu, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction: Value Also Matters	Zhiyu Guo, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation	Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim	N/A	N/A
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers	Tuc Van Nguyen, Thai Le	N/A	N/A
Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4	Woojin Kim, Sungeun Hahm, Jaejin Lee	N/A	N/A
Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game	Prisha Samdarshi, Mariam Mustafa, Anushka Kulkarni, Raven Rothkopf, Tuhin Chakrabarty, Smaranda Muresan	N/A	N/A
GottBERT: a pure German Language Model	Raphael Scheible, Johann Frei, Fabian Thomczyk, Henry He, Patric Tippmann, Jochen Knaus, Victor Jaravine, Frank Kramer, Martin Boeker	N/A	N/A
Computational Meme Understanding: A Survey	Khoi P. N. Nguyen, Vincent Ng	N/A	N/A
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage	Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis	N/A	N/A
Retrieval-enriched zero-shot image classification in low-resource domains	Nicola Dall’Asen, Yiming Wang, Enrico Fini, Elisa Ricci	N/A	N/A
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization	Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, hufeng, Yu Su, Qi Liu	N/A	N/A
Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps	Giuseppe Attanasio, Beatrice Savoldi, Dennis Fucci, Dirk Hovy	N/A	N/A
Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing	Baihe Huang, Hiteshi Sharma, Yi Mao	N/A	N/A
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion	Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Bill Wu, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist	N/A	N/A
Show and Guide: Instructional-Plan Grounded Vision and Language Model	Diogo Glória-Silva, David Semedo, Joao Magalhaes	N/A	N/A
Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents	Bandhav Veluri, Benjamin N Peloquin, Bokai YU, Hongyu Gong, Shyamnath Gollakota	N/A	N/A
QuBE: Question-based Belief Enhancement for Agentic LLM	Minsoo Kim, Jongyoon Kim, Jihyuk Kim, seung-won hwang	N/A	N/A
COMPACT: Compressing Retrieved Documents Actively for Question Answering	Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, Minbyul Jeong, Jaewoo Kang	N/A	N/A
An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models	Fatemeh Shiri, Xiao-Yu Guo, Mona Golestan Far, Xin Yu, Reza Haf, Yuan-Fang Li	N/A	N/A
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models	Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Sricharan Kumar	N/A	N/A
Local Contrastive Editing of Gender Stereotypes	Marlene Lutz, Rochelle Choenni, Markus Strohmaier, Anne Lauscher	N/A	N/A
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP	Stefan Larson, Nicole Cornehl Lima, Santiago Pedroza Diaz, Amogh Manoj Joshi, Siddharth Betala, Jamiu Tunde Suleiman, Yash Mathur, Kaushal Kumar Prajapati, Ramla Alakraa, Junjie Shen, Temi Okotore, Kevin Leach	N/A	N/A
RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages	Avik Dutta, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le	N/A	N/A
STAR: SocioTechnical Approach to Red Teaming Language Models	Laura Weidinger, John F J Mellor, Bernat Guillén Pegueroles, Nahema Marchal, Ravin Kumar, Kristian Lum, Canfer Akbulut, Mark Diaz, A. Stevie Bergman, Mikel D. Rodriguez, Verena Rieser, William Isaac	N/A	N/A
Do great minds think alike? Investigating Human-AI Complementarity for Question Answering	Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan Lee Boyd-Graber	N/A	N/A
Memory-Efficient Fine-Tuning of Transformers via Token Selection	Antoine Simoulin, Namyong Park, Xiaoyi Liu, Grey Yang	N/A	N/A
Unveiling the mystery of visual attributes of concrete and abstract concepts: Variability, nearest neighbors, and challenging categories	Tarun Tater, Sabine Schulte im Walde, Diego Frassinelli	N/A	N/A
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark	Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko	N/A	N/A
Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner	Shudong Liu, Zhaocong Li, Xuebo Liu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao, Min zhang	N/A	N/A
Preference-Guided Reflective Sampling for Aligning Language Models	Hai Ye, Hwee Tou Ng	N/A	N/A
Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP	Pieter Delobelle, Giuseppe Attanasio, Debora Nozza, Su Lin Blodgett, Zeerak Talat	N/A	N/A
Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs	Xuhui Zhou, Zhe Su, Tiwalayo Eisape, Hyunwoo Kim, Maarten Sap	N/A	N/A
A Simple LLM Framework for Long-Range Video Question-Answering	Ce Zhang, Taixi Lu, Md Mohaiminul Islam, Ziyang Wang, Shoubin Yu, Mohit Bansal, Gedas Bertasius	N/A	N/A
Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing	Akshat Gupta, Sidharth Baskaran, Gopala Anumanchipalli	N/A	N/A
Casablanca: Data and Models for Multidialectal Arabic Speech Recognition	Bashar Talafha, Karima Kadaoui, Samar Mohamed Magdy, Mariem Habiboullah, Chafei Mohamed Chafei, Ahmed Oumar El-Shangiti, Hiba Zayed, Mohamedou cheikh tourad, Rahaf Alhamouri, Rwaa Assi, Aisha Alraeesi, Hour Mohamed, Fakhraddin Alwajih, Abdelrahman Mohamed, Abdellah EL MEKKI, El Moatez Billah Nagoudi, Benelhadj Djelloul Mama Saadia, Hamzah A. Alsayadi, Walid Al-Dhabyani, Sara Shatnawi, Yasir ECH-CHAMMAKHY, AMAL MAKOUAR, Yousra Berrachedi, Mustafa Jarrar, Shady Shehata, Ismail Berrada, Muhammad Abdul-Mageed	N/A	N/A
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations	Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria	N/A	N/A
Communicating with Speakers and Listeners of Different Pragmatic Levels	Kata Naszadi, Frans A Oliehoek, Christof Monz	N/A	N/A
RECANTFormer: Referring Expression Comprehension with Varying Numbers of Targets	Bhathiya Hemanthage, Hakan Bilen, Phil Bartie, Christian Dondrup, Oliver Lemon	N/A	N/A
Sprout: Green Generative AI with Carbon-Efficient LLM Inference	Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari	N/A	N/A
Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs	Alexander Spangher, Nanyun Peng, Sebastian Gehrmann, Mark Dredze	N/A	N/A
T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings	Björn Deiseroth, Manuel Brack, Samuel Weinbach, Patrick Schramowski, Kristian Kersting	N/A	N/A
SpeechQE: Estimating the Quality of Direct Speech Translation	HyoJung Han, Kevin Duh, Marine Carpuat	N/A	N/A
Assessing and Verifying Task Utility in LLM-Powered Applications	Negar Arabzadeh, Siqing Huo, Nikhil Mehta, Qingyun Wu, Chi Wang, Ahmed Hassan Awadallah, Charles L. A. Clarke, Julia Kiseleva	N/A	N/A
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models	Somanshu Singla, Zhen Wang, Tianyang Liu, Abdullah Ashfaq, Zhiting Hu, Eric P. Xing	N/A	N/A
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree	Harbani Jaggi, Kashyap Coimbatore Murali, Eve Fleisig, Erdem Biyik	N/A	N/A
Adversarial Text Generation using Large Language Models for Dementia Detection	Youxiang Zhu, Nana Lin, Kiran Sandilya Balivada, Daniel Haehn, Xiaohui Liang	N/A	N/A
xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics	Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger	N/A	N/A
The Greatest Good Benchmark: Measuring LLMs’ Alignment with Utilitarian Moral Dilemmas	Giovanni Franco Gabriel Marraffini, Andrés Cotton, Noe Fabian Hsueh, Juan Wisznia, Axel Fridman, Luciano Del Corro	N/A	N/A
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding	Jiali Cheng, Hadi Amiri	N/A	N/A
Style-Shifting Behaviour of the Manosphere on Reddit	Jai Aggarwal, Suzanne Stevenson	N/A	N/A
The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective	Yihan Ma, Xinyue Shen, Yixin Wu, Boyang Zhang, Michael Backes, Yang Zhang	N/A	N/A
Holistic Evaluation for Interleaved Text-and-Image Generation	Minqian Liu, Zhiyang Xu, Zihao Lin, Trevor Ashby, Joy Rimchala, Jiaxin Zhang, Lifu Huang	N/A	N/A
FOLIO: Natural Language Reasoning with First-Order Logic	SIMENG HAN, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander Fabbri, Wojciech Maciej Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev	N/A	N/A
The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?	Alexander Choi, Syeda Sabrina Akter, J.P. Singh, Antonios Anastasopoulos	N/A	N/A
Is Child-Directed Speech Effective Training Data for Language Models?	Steven Y. Feng, Noah Goodman, Michael Frank	N/A	N/A
RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference	Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao	N/A	N/A
HCEG: Improving the Abstraction Ability of Language Models with Hierarchical Conceptual Entailment Graphs	Juncai Li, Ru Li, Xiaoli Li, Qinghua Chai, Jeff Z. Pan	N/A	N/A
M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought	Gitanjali Kumari, Kirtan Jain, Asif Ekbal	N/A	N/A
GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation	Govind Ramesh, Yao Dou, Wei Xu	N/A	N/A
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation	Kiseung Kim, Jay-Yoon Lee	N/A	N/A
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets	Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth	N/A	N/A
Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model	Mana Makinae, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text	Pritika Ramu, Aparna Garimella, Sambaran Bandyopadhyay	N/A	N/A
On the Fragility of Active Learners for Text Classification	Abhishek Ghose, Emma Thuong Nguyen	N/A	N/A
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers	Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang	N/A	N/A
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval	Jonghyun Song, Cheyon Jin, Wenlong Zhao, Jay-Yoon Lee	N/A	N/A
M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection	Chia-Wei Tang, Ting-Chih Chen, Alvi Md Ishmam, Kiet A. Nguyen, Kazi Sajeed Mehrab, Chris Thomas	N/A	N/A
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning	Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang	N/A	N/A
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records	Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang	N/A	N/A
SimLLM: Detecting Sentences Generated by Large Language Models Using Similarity between the Generation and its Re-generation	Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu	N/A	N/A
CELLO: Causal Evaluation of Large Vision-Language Models	Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu	N/A	N/A
Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair	Yusuke Sakai, Mana Makinae, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Training-free Deep Concept Injection Enables Language Models for Video Question Answering	Xudong Lin, Manling Li, Richard Zemel, Heng Ji, Shih-Fu Chang	N/A	N/A
MIBench: Evaluating Multimodal Large Language Models over Multiple Images	Haowei Liu, Xi Zhang, Haiyang Xu, Yaya Shi, Chaoya Jiang, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu	N/A	N/A
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering	Francesco Maria Molfese, Simone Conia, Riccardo Orlando, Roberto Navigli	N/A	N/A
ABLE: Personalized Disability Support with Politeness and Empathy Integration	Kshitij Mishra, Manisha Burja, Asif Ekbal	N/A	N/A
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models	Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, Sunghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo	N/A	N/A
Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code	Hyungjoo Chae, Taeyoon Kwon, Seungjun Moon, Yongho Song, Dongjin Kang, Kai Tzu-iunn Ong, Beong-woo Kwak, Seonghyeon Bae, seung-won hwang, Jinyoung Yeo	N/A	N/A
Improving Minimum Bayes Risk Decoding with Multi-Prompt	David Heineman, Yao Dou, Wei Xu	N/A	N/A
Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework	gopendra Vikram singh, Sai Vardhan Vemulapalli, Mauajama Firdaus, Asif Ekbal	N/A	N/A
Nearest Neighbor Normalization Improves Multimodal Retrieval	Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah Schwettmann, Tristan Thrush	N/A	N/A
Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning	Shengguang Wu, Shusheng Yang, Zhenglun Chen, Qi Su	N/A	N/A
LongRAG: A Dual-perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering	Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang	N/A	N/A
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models	Yuxuan Guo, Zhiliang Tian, YIPING SONG, Tianlun Liu, Liang Ding, Dongsheng Li	N/A	N/A
Knowledge Graph Enhanced Large Language Model Editing	Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen	N/A	N/A
Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews	Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal	N/A	N/A
Mitigating Open-Vocabulary Caption Hallucinations	Assaf Ben-Kish, Moran Yanuka, Morris Alper, Raja Giryes, Hadar Averbuch-Elor	N/A	N/A
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes	Kosuke Nishida, Kyosuke Nishida, Kuniko Saito	N/A	N/A
ALVIN: Active Learning Via INterpolation	Michalis Korakakis, Andreas Vlachos	N/A	N/A
Filtered Direct Preference Optimization	Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu	N/A	N/A
Instruction Fine-Tuning: Does Prompt Loss Matter?	Mathew Huerta-Enochian, Seung Yong Ko	N/A	N/A
Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia	Tomás Feith, Akhil Arora, Martin Gerlach, Debjit Paul, Robert West	N/A	N/A

EMNLP 2023

Title	Author	PDF_Link	Code_URL
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation	Juhwan Choi, Yeonghwa Kim, Seunguk Yu, JungMin Yun, YoungBin Kim	N/A	N/A
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation	Juhwan Choi, JungMin Yun, Kyohoon Jin, YoungBin Kim	N/A	N/A
FIZZ: Factual Inconsistency Detection by Zoom-in Summary and Zoom-out Document	Joonho Yang, Seunghyun Yoon, ByeongJeong Kim, Hwanhee Lee	N/A	N/A
Prompts have evil twins	Rimon Melamed, Lucas Hurley McCabe, Tanay Wakhare, Yejin Kim, H. Howie Huang, Enric Boix-Adserà	N/A	N/A
Table Question Answering for Low-resourced Indic Languages	Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke	N/A	N/A
ImageInWords: Unlocking Hyper-Detailed Image Descriptions	Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Michael Baldridge, Radu Soricut	N/A	N/A
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay	Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang	N/A	N/A
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection	Xiangyu Zhang, Hexin Liu, Kaishuai Xu, Qiquan Zhang, Daijiao Liu, Beena Ahmed, Julien Epps	N/A	N/A
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model	Xiangyu Zhang, Daijiao Liu, Hexin Liu, Qiquan Zhang, Hanyu Meng, Leibny Paola Garcia Perera, EngSiong Chng, Lina Yao	N/A	N/A
Hateful Word in Context Classification	Sanne Hoeken, Sina Zarrieß, Özge Alacam	N/A	N/A
Eyes Don’t Lie: Subjective Hate Annotation and Detection with Gaze	Özge Alacam, Sanne Hoeken, Sina Zarrieß	N/A	N/A
NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning	Eli Schwartz, Leshem Choshen, Joseph Shtok, Sivan Doveh, Leonid Karlinsky, Assaf Arbelle	N/A	N/A
Thinking Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models	Shaz Furniturewala, Surgan Jandial, Abhinav Java, Pragyan Banerjee, Simra Shahid, Sumit Bhatia, Kokil Jaidka	N/A	N/A
A Usage-centric Take on Intent Understanding in E-Commerce	Wendi Zhou, Tianyi Li, Pavlos Vougiouklis, Mark Steedman, Jeff Z. Pan	N/A	N/A
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs	Oded Ovadia, Menachem Brief, Moshik Mishaeli, Oren Elisha	N/A	N/A
Systematic Biases in LLM Simulations of Debates	Amir Taubenfeld, Yaniv Dover, Roi Reichart, Ariel Goldstein	N/A	N/A
Studying and Mitigating Biases in Sign Language Understanding Models	Katherine Atwell, Danielle Bragg, Malihe Alikhani	N/A	N/A
Uncertainty in Language Models: Assessment through Rank-Calibration	Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban	N/A	N/A
RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning	Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing	Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, Nancy F. Chen, Shafiq Joty	N/A	N/A
Scaling Properties of Speech Language Models	Santiago Cuervo, Ricard Marxer	N/A	N/A
“We Demand Justice!”: Towards Social Context Grounding of Political Texts	Rajkumar Pujari, Chengfei Wu, Dan Goldwasser	N/A	N/A
An Experimental Analysis on Evaluating Patent Citations	Rabindra Nath Nandi, Suman Maity, Brian Uzzi, Sourav Medya	N/A	N/A
Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?	Dawei Zhu, Pinzhen Chen, Miaoran Zhang, Barry Haddow, Xiaoyu Shen, Dietrich Klakow	N/A	N/A
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing	Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis	N/A	N/A
Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning	Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, zujie wen, Wenqiang Lei, Tat-Seng Chua	N/A	N/A
Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation	Saiful Islam Salim, Rubin Yuchan Yang, Alexander Cooper, Suryashree Ray, Saumya Debray, Sazzadur Rahaman	N/A	N/A
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation	Yuan Ge, Yilun Liu, Chi Hu, Weibin Meng, shimin tao, Xiaofeng Zhao, Mahongxia, Zhang Li, Boxing Chen, Hao Yang, Bei Li, Tong Xiao, JingBo Zhu	N/A	N/A
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models	Abhilasha Sancheti, Haozhe An, Rachel Rudinger	N/A	N/A
EmphAssess : a Prosodic Benchmark on Assessing Emphasis Transfer in Speech-to-Speech Models	Maureen de Seyssel, Antony D’Avirro, Adina Williams, Emmanuel Dupoux	N/A	N/A
On Fake News Detection with LLM Enhanced Semantics Mining	Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu, Hao Fan	N/A	N/A
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices	Branislav Pecher, Ivan Srba, Maria Bielikova	N/A	N/A
Evaluating the Instruction-Following Robustness of Large Language Models to Prompt Injection	Zekun Li, Baolin Peng, Pengcheng He, Xifeng Yan	N/A	N/A
A Study of Nationality Bias in Names and Perplexity using Off-the-Shelf Affect-related Tweet Classifiers	Valentin Barriere, Sebastian Cifuentes	N/A	N/A
Mitigating the Alignment Tax of RLHF	Yong Lin, Hangyu Lin, Wei Xiong, Shizhe Diao, Jianmeng Liu, Jipeng Zhang, Rui Pan, Haoxiang Wang, Wenbin Hu, Hanning Zhang, Hanze Dong, Renjie Pi, Han Zhao, Nan Jiang, Heng Ji, Yuan Yao, Tong Zhang	N/A	N/A
Evaluating Readability and Faithfulness of Concept-based Explanations	Meng Li, Haoran Jin, Ruixuan HUANG, Zhihao Xu, Defu Lian, Zijia Lin, Di ZHANG, Xiting Wang	N/A	N/A
Personality-aware Student Simulation for Conversational Intelligent Tutoring Systems	Zhengyuan Liu, Stella Xin Yin, Geyu Lin, Nancy F. Chen	N/A	N/A
MSI-Agent: Incorporating Multi-Scale Insight into Embodied Agents for Superior Planning and Decision-Making	Dayuan Fu, Biqing Qi, Yihuai Gao, Che Jiang, Guanting Dong, Bowen Zhou	N/A	N/A
CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds	Min-Hsuan Yeh, Ruyuan Wan, Ting-Hao Kenneth Huang	N/A	N/A
Tokenization Is More Than Compression	Craig W Schmidt, Varshini Reddy, Haoran Zhang, Alec Alameddine, Omri Uzan, Yuval Pinter, Chris Tanner	N/A	N/A
FLIRT: Feedback Loop In-context Red Teaming	Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta	N/A	N/A
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections	Lingjun Zhao, Khanh Xuan Nguyen, Hal Daumé III	N/A	N/A
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks	Haoyuan WU, Haisheng Zheng, Zhuolun He, Bei Yu	N/A	N/A
GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation	Shihao Cai, Keqin Bao, Hangyu Guo, Jizhi Zhang, Jun Song, Bo Zheng	N/A	N/A
Improved Learned Sparse Retrieval with Entity Vocabulary	Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates	N/A	N/A
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models	Zihan Wang, Deli Chen, Damai Dai, Runxin Xu, Zhuoshu Li, Yu Wu	N/A	N/A
LongEmbed: Extending Embedding Models for Long Context Retrieval	Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li	N/A	N/A
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences	Xiangyang Liu, Junliang He, Xipeng Qiu	N/A	N/A
Overcome Noise and Bias: Segmentation-Aided Multi-Granularity Denoising and Debiasing for Enhanced Quarduples Extraction in Dialogue	Xianlong Luo, Yihao Wang, Meng Yang	N/A	N/A
Integrating Plutchik’s Theory with Mixture of Experts for Enhancing Emotion Classification	Dongjun LIM, Yun-Gyung Cheong	N/A	N/A
In-context Contrastive Learning for Event Causality Identification	梁超, Wei Xiang, Bang Wang	N/A	N/A
What’s Mine becomes Yours: Defining, Annotating and Detecting Context-Dependent Paraphrases in News Interview Dialogs	Anna Wegmann, Tijs A. van den Broek, Dong Nguyen	N/A	N/A
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs	Kanishka Misra, Kyle Mahowald	N/A	N/A
Large Language Models for Data Annotation: A Survey	Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, huan liu	N/A	N/A
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models	Hongyuan Lu, HAORAN YANG, Haoyang Huang, Dongdong Zhang, Wai Lam, Furu Wei	N/A	N/A
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning	Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang	N/A	N/A
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning	Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao	N/A	N/A
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering	Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, chen luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao	N/A	N/A
HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs	Jocelyn J Shen, Joel Mire, Hae Won Park, Cynthia Breazeal, Maarten Sap	N/A	N/A
Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence	Junru Lu, Jiazheng Li, Siyu An, Meng Zhao, Yulan He, di yin, Xing Sun	N/A	N/A
Bridging Cultures in the Kitchen: A Framework and Benchmark for Cross-Cultural Recipe Retrieval	Tianyi Hu, Maria Maistro, Daniel Hershcovich	N/A	N/A
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models	Peng Xia, Kangyu Zhu, Haoran Li, Hongtu Zhu, Yun Li, Gang Li, Linjun Zhang, Huaxiu Yao	N/A	N/A
A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading	Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He	N/A	N/A
A Survey on In-context Learning	Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Lei Li, Zhifang Sui	N/A	N/A
DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing	Hangdi Xing, Changxu Cheng, Feiyu Gao, Zirui Shao, Zhi Yu, Jiajun Bu, Qi Zheng, Cong Yao	N/A	N/A
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation	Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing	N/A	N/A
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models	Shangyu Xing, Fei Zhao, Zhen Wu, Tuo An, Weihao Chen, Chunhui Li, Jianbing Zhang, Xinyu Dai	N/A	N/A
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization	Sungbin Shin, Wonpyo Park, Jaeho Lee, Namhoon Lee	N/A	N/A
LLMs Are Zero-Shot Context-Aware Simultaneous Translators	Roman Koshkin, Katsuhito Sudoh, Satoshi Nakamura	N/A	N/A
AgentReview: Exploring Peer Review Dynamics with LLM Agents	Yiqiao Jin, Qinlin Zhao, Yiyang Wang, Hao Chen, Kaijie Zhu, Yijia Xiao, Jindong Wang	N/A	N/A
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval	Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou	N/A	N/A
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments	Han Zhou, Xingchen Wan, Yinhong Liu, Nigel Collier, Ivan Vulić, Anna Korhonen	N/A	N/A
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation	Chenlong Deng, Kelong Mao, Zhicheng Dou	N/A	N/A
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process	Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie, Yong Jiang	N/A	N/A
Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation	Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander T Toshev	N/A	N/A
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing	Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng	N/A	N/A
Mitigating Language Bias of LMMs in Social Intelligence Understanding with Virtual Counterfactual Calibration	Peng Chen, Xiao-Yu Guo, Yuan-Fang Li, Xiaowang Zhang, Zhiyong Feng	N/A	N/A
Model Balancing Helps Low-data Training and Fine-tuning	Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang	N/A	N/A
Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual Alignment	Zhaofeng Wu, Ananth Balashankar, Yoon Kim, Jacob Eisenstein, Ahmad Beirami	N/A	N/A
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment	Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu	N/A	N/A
A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning	Zhongwu Chen, Long Bai, Zixuan Li, Zhen Huang, Xiaolong Jin, Yong Dou	N/A	N/A
Towards Tool Use Alignment of Large Language Models	Zhi-Yuan Chen, Shiqi Shen, Guangyao Shen, Gong Zhi, Xu Chen, Yankai Lin	N/A	N/A
DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models	Ranchi Zhao, Zhen Leng Thai, Yifan Zhang, Shengding Hu, Jie Zhou, Yunqi Ba, Jie Cai, Zhiyuan Liu, Maosong Sun	N/A	N/A
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps	Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, Ranjay Krishna, Yoon Kim, James R. Glass	N/A	N/A
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment	Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun	N/A	N/A
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation	Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin	N/A	N/A
Advancing Event Causality Identification via Heuristic Semantic Dependency Inquiry Network	Haoran Li, Qiang Gao, Hongmei Wu, Li Huang	N/A	N/A
Exploring Union and Intersection of Visual Regions for Generating Questions, Answers, and Distractors	Wenjian Ding, YAO ZHANG, Jun Wang, Adam Jatowt, Zhenglu Yang	N/A	N/A
UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and Generation	Xiangyu Zhao, Yuehan Zhang, zhangwenlong, Xiao-Ming Wu	N/A	N/A
Tracking the perspectives of interacting language models	Hayden Helm, Brandon Duderstadt, Youngser Park, Carey Priebe	N/A	N/A
MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering	Zhengxuan Zhang, Yin WU, Yuyu Luo, Nan Tang	N/A	N/A
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?	Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui	N/A	N/A
Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement	Weimin Xiong, Yifan Song, Xiutian Zhao, Wenhao Wu, Xun Wang, Ke Wang, Cheng LI, Wei Peng, Sujian Li	N/A	N/A
Standardize: Aligning Language Models with Expert-Defined Standards for Content Generation	Joseph Marvin Imperial, Gail Forey, Harish Tayyar Madabushi	N/A	N/A
Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective	Zhihao Zhang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou	N/A	N/A
“Glue pizza and eat rocks” - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models	Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Song Wang, Jundong Li, Tianlong Chen, huan liu	N/A	N/A
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement	Yuxuan Wang, Xiaoyuan Liu	N/A	N/A
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation	Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao	N/A	N/A
MatchTime: Towards Automatic Soccer Game Commentary Generation	Jiayuan Rao, Haoning Wu, Chang Liu, Yanfeng Wang, Weidi Xie	N/A	N/A
Rethinking Token Reduction for State Space Models	Zheng Zhan, Yushu Wu, Zhenglun Kong, Changdi Yang, Yifan Gong, Xuan Shen, Xue Lin, Pu Zhao, Yanzhi Wang	N/A	N/A
Triad: A Framework Leveraging a Multi-Role LLM-based Agent to Solve Knowledge Base Question Answering	Chang Zong, Yuchen Yan, Weiming Lu, Jian Shao, Yongfeng Huang, Heng Chang, Yueting Zhuang	N/A	N/A
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic	Yuyan Zhou, Liang Song, Bingning Wang, weipeng chen	N/A	N/A
Event Causality Identification with Synthetic Control	Haoyu Wang, Fengze Liu, Jiayao Zhang, Dan Roth, Kyle Richardson	N/A	N/A
Retrieved Sequence Augmentation for Protein Representation Learning	Chang Ma, Haiteng Zhao, Lin Zheng, Jiayi Xin, Qintong Li, Lijun Wu, Zhihong Deng, Yang Young Lu, Qi Liu, Sheng Wang, Lingpeng Kong	N/A	N/A
HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding	Fan Yuan, Chi Qin, Xiaogang Xu, Piji Li	N/A	N/A
TopViewRS: Vision-Language Models as Top-View Spatial Reasoners	Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulić	N/A	N/A
DA$^3$: A Distribution-Aware Adversarial Attack against Language Models	Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu	N/A	N/A
Evaluating Psychological Safety of Large Language Models	Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing	N/A	N/A
An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment Classification	Zhuowei Chen, Lianxi Wang, Yuben Wu, Xinfeng Liao, Yujia Tian, Junyang Zhong	N/A	N/A
Self-Bootstrapped Visual-Language Model for Knowledge Selection and Question Answering	Dongze Hao, Qunbo Wang, Longteng Guo, Jie Jiang, Jing Liu	N/A	N/A
PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation	Libo Zhao, Jing Li, Ziqian Zeng	N/A	N/A
TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging	Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang	N/A	N/A
Do We Need Language-Specific Fact-Checking Models? The Case of Chinese	Caiqi Zhang, Zhijiang Guo, Andreas Vlachos	N/A	N/A
Enhancing Advanced Visual Reasoning Ability of Large Language Models	Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, Weidong Cai	N/A	N/A
CMD: a framework for Context-aware Model self-Detoxification	Zecheng Tang, Keyan Zhou, Juntao Li, Yuyang Ding, Pinzheng Wang, Yan Bowen, Renjie Hua, Min Zhang	N/A	N/A
Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection	Xiaomeng Hu, Yiming Zhang, Ru Peng, Haozhe Zhang, Chenwei Wu, Gang Chen, Junbo Zhao	N/A	N/A
TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control	Yu Zhang, Ziyue Jiang, Ruiqi Li, Changhao Pan, Jinzheng He, Rongjie Huang, Chuxin Wang, Zhou Zhao	N/A	N/A
Be Helpful but Don’t Talk too Much - Enhancing Helpfulness in Conversations through Relevance in Multi-Turn Emotional Support	LI Junlin, Bo Peng, Yu-Yin Hsu, Chu-Ren Huang	N/A	N/A
Aligning Language Models to Explicitly Handle Ambiguity	Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim	N/A	N/A
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation	Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li	N/A	N/A
GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models	Xuanchang Zhang, Zhuosheng Zhang, hai zhao	N/A	N/A
Decoding the Echoes of Vision from fMRI: Memory Disentangling for Past Semantic Information	Runze Xia, Congchi Yin, Piji Li	N/A	N/A
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models	Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang	N/A	N/A
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models	Yongjin Yang, Jongwoo Ko, Se-Young Yun	N/A	N/A
Advancing Process Verification for Large Language Models via Tree-Based Preference Learning	Mingqian He, Yongliang Shen, Wenqi Zhang, Zeqi Tan, Weiming Lu	N/A	N/A
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference	Yu Lin, Qizhi Zhang, Quanwei Cai, Jue Hong, Wu Ye, Huiqi Liu, Bing Duan	N/A	N/A
MantisScore: A Reliable Fine-grained Metric for Video Generation	Xuan He, Dongfu Jiang, Ge Zhang, Max Ku, Achint Soni, Sherman Siu, Haonan Chen, Abhranil Chandra, Ziyan Jiang, Aaran Arulraj, Kai Wang, Quy Duc Do, Yuansheng Ni, Bohan Lyu, Yaswanth Narsupalli, Rongqi Fan, Zhiheng Lyu, Bill Yuchen Lin, Wenhu Chen	N/A	N/A
A ∧ B ⇔ B ∧ A: Evaluating and Improving Logical Reasoning Ability of Large Language Models	Yuxuan WAN, Wenxuan Wang, Yiliu Yang, Youliang Yuan, Jen-tse Huang, Pinjia He, Wenxiang Jiao, Michael Lyu	N/A	N/A
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training	Xiaoyang Yi, Yuru Bao, Jian Zhang, Yifang Qin, Faxin Lin	N/A	N/A
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning	Tianyuan Zou, Yang Liu, Peng Li, Jianqing Zhang, Jingjing Liu, Ya-Qin Zhang	N/A	N/A
I Need Help! Evaluating LLM’s Ability to Ask for Users’ Support: A Case Study on Text-to-SQL Generation	Cheng-Kuang Wu, Zhi Rui Tam, Chao-Chung Wu, Chieh-Yen Lin, Hung-yi Lee, Yun-Nung Chen	N/A	N/A
Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm	Michael Wiegand, Josef Ruppenhofer	N/A	N/A
By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting	Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong, Kimin Lee, Sung-Ju Lee	N/A	N/A
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization	Seungwoo Son, Wonpyo Park, Woohyun Han, Kyuyeun Kim, Jaeho Lee	N/A	N/A
CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search	Fengran Mo, Abbas Ghaddar, Kelong Mao, Mehdi Rezagholizadeh, Boxing Chen, Qun Liu, Jian-Yun Nie	N/A	N/A
Towards Low-Resource Harmful Meme Detection with LMM Agents	Jianzhao Huang, Hongzhan Lin, ZiyanLiu, Ziyang Luo, Guang Chen, Jing Ma	N/A	N/A
VIVA: A Benchmark for Vision-Grounded Decision-Making with Human Values	Zhe Hu, Yixiao Ren, Jing Li, Yu Yin	N/A	N/A
Direct Multi-Turn Preference Optimization for Language Agents	Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng	N/A	N/A
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models	Leonardo Ranaldi, Andre Freitas	N/A	N/A
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search	Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren	N/A	N/A
AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation	Wenhao Huang, Zhouhong Gu, Chenghao Peng, Jiaqing Liang, Zhixu Li, Yanghua Xiao, liqian wen, Zulong Chen	N/A	N/A
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space	Shahar Katz, Yonatan Belinkov, Mor Geva, Lior Wolf	N/A	N/A
Selective Vision is the Challenge for Visual Reasoning: A Benchmark for Visual Argument Understanding	Jiwan Chung, Sungjae Lee, Minseo Kim, Seungju Han, Ashkan Yousefpour, Jack Hessel, Youngjae Yu	N/A	N/A
Can visual language models resolve textual ambiguity with visual cues? Let visual puns tell you!	Jiwan Chung, Seungwon Lim, Jaehyun Jeon, Seungbeen Lee, Youngjae Yu	N/A	N/A
Reusing Transferable Weight Increments for Low-resource Style Generation	Chunzhen Jin, Eliot Huang, Heng Chang, Yaqi Wang, Peng Cao, Osmar Zaiane	N/A	N/A
Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course	Cheng-Han Chiang, Wei-Chih Chen, Chun-Yi Kuan, Chienchou Yang, Hung-yi Lee	N/A	N/A
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?	Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler	N/A	N/A
Instruction Pre-Training: Language Models are Supervised Multitask Learners	Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei	N/A	N/A
LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models	Renzhi Wang, Piji Li	N/A	N/A
Collaborative Performance Prediction for Large Language Models	Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma	N/A	N/A
Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese	Yuqi Chen, Sixuan Li, Ying Li, Mohammad Atari	N/A	N/A
Knowledge Verification to Nip Hallucination in the Bud	Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi	N/A	N/A
QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios	Timo Pierre Schrader, Lukas Lange, Simon Razniewski, Annemarie Friedrich	N/A	N/A
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification	Gregor Geigle, Radu Timofte, Goran Glavaš	N/A	N/A
Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models	Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao	N/A	N/A
To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models	Bastien Liétard, Pascal Denis, Mikaela Keller	N/A	N/A
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings	Hao Wang, Hao Li, Minlie Huang, Lei Sha	N/A	N/A
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making	Xiutian Zhao, Ke Wang, Wei Peng	N/A	N/A
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?	Gregor Geigle, Radu Timofte, Goran Glavaš	N/A	N/A
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment	zhenyu liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min zhang	N/A	N/A
MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning	Yufei Ma, Zihan Liang, Huangyu Dai, Ben Chen, Dehong Gao, Zhuoran Ran, ZihanWang, Linbo Jin, Wen Jiang, Guannan Zhang, Xiaoyan Cai, Libin Yang	N/A	N/A
Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification	Pinyi Zhang, Jingyang Chen, Junchen Shen, Zijie Zhai, Ping Li, Jie Zhang, Kai Zhang	N/A	N/A
PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study	Yuqing Zhang, Baoyi He, Yihan Chen, Hangqi Li, Han Yue, Shengyu Zhang, Huaiyong Dou, Junchi Yan, Zemin Liu, Yongquan Zhang, Fei Wu	N/A	N/A
Alignment-Enhanced Decoding: Defending via Token-Level Adaptive Refining of Probability Distributions	Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su	N/A	N/A
MiniConGTS: A Near Ultimate Minimalist Contrastive Grid Tagging Scheme for Aspect Sentiment Triplet Extraction	Qiao Sun, Liujia Yang, Minghao Ma, Nanyang Ye, Qinying Gu	N/A	N/A
Evaluating Large Language Models via Linguistic Profiling	Alessio Miaschi, Felice Dell’Orletta, Giulia Venturi	N/A	N/A
With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models	Tyler Loakman, YUCHENG LI, Chenghua Lin	N/A	N/A
KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases	Jiajie Zhang, Shulin Cao, Linmei Hu, Ling Feng, Lei Hou, Juanzi Li	N/A	N/A
Understanding Higher-Order Correlations Among Semantic Components in Embeddings	Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira	N/A	N/A
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection	Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Wei Liu, Xian Wu, Shaorong Xie, Yefeng Zheng	N/A	N/A
Evaluating D-MERIT of Partial-annotation on Information Retrieval	Royi Rassin, Yaron Fairstein, Oren Kalinsky, Guy Kushilevitz, Nachshon Cohen, Alexander Libov, Yoav Goldberg	N/A	N/A
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving	XIN QUAN, Marco Valentino, Louise A. Dennis, Andre Freitas	N/A	N/A
Calibrating the Confidence of Large Language Models by Eliciting Fidelity	Mozhi Zhang, Mianqiu Huang, Rundong Shi, Linsen Guo, Chong Peng, Peng Yan, Yaqian Zhou, Xipeng Qiu	N/A	N/A
Exploring Reward Model Strength’s Impact on Language Models	Yanjun Chen, Dawei Zhu, Yirong Sun, Xinghao Chen, Wei Zhang, Xiaoyu Shen	N/A	N/A
How Hard is this Test Set? NLI Characterization by Exploiting Training Dynamics	Adrian Cosma, Stefan Ruseti, Mihai Dascalu, Cornelia Caragea	N/A	N/A
Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection	Gaetan Lopez Latouche, Marc-André Carbonneau, Benjamin Swanson	N/A	N/A
CUTE: Measuring LLMs’ Understanding of Their Tokens	Lukas Edman, Helmut Schmid, Alexander Fraser	N/A	N/A
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation	Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min zhang	N/A	N/A
On The Role of Context in Reading Time Prediction	Andreas Opedal, Eleanor Chodroff, Ryan Cotterell, Ethan Wilcox	N/A	N/A
BC-Prover: Backward Chaining Prover for Formal Theorem Proving	Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin	N/A	N/A
From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP	Marius Mosbach, Vagrant Gautam, Tomás Vergara Browne, Dietrich Klakow, Mor Geva	N/A	N/A
Dual Modalities of Text: Visual and Textual Generative Pre-Training	Yekun Chai, Qingyi Liu, Jingwu Xiao, Shuohuan Wang, Yu Sun, Hua Wu	N/A	N/A
On Training Data Influence of GPT Models	Qingyi Liu, Yekun Chai, Shuohuan Wang, Yu Sun, Qiwei Peng, Hua Wu	N/A	N/A
Understanding “Democratization” in NLP and ML Research	Arjun Subramonian, Vagrant Gautam, Dietrich Klakow, Zeerak Talat	N/A	N/A
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models	Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto	N/A	N/A
Cross-lingual Transfer for Automatic Question Generation by Learning Interrogative Structures in Target Languages	Seonjeong Hwang, Yunsu Kim, Gary Lee	N/A	N/A
ScalingFilter: Assessing Data Quality through Inverse Utilization of Scaling Laws	Ruihang Li, Yixuan Wei, Miaosen Zhang, Nenghai Yu, Han Hu, Houwen Peng	N/A	N/A
Word Alignment as Preference for Machine Translation	Qiyu Wu, Masaaki Nagata, Zhongtao Miao, Yoshimasa Tsuruoka	N/A	N/A
Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence	Yaxin FAN, PEIFENG LI, Qiaoming Zhu	N/A	N/A
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models	Jinghan He, Haiyun Guo, Kuan Zhu, Zihan Zhao, Ming Tang, Jinqiao Wang	N/A	N/A
Neuron-Level Knowledge Attribution in Large Language Models	ZEPING YU, Sophia Ananiadou	N/A	N/A
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning	ZEPING YU, Sophia Ananiadou	N/A	N/A
Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis	ZEPING YU, Sophia Ananiadou	N/A	N/A
Pixology: Probing the Linguistic and Visual Knowledge of Pixel-based Language Models	Kushal Tatariya, Vladimir Araujo, Thomas Bauwens, Miryam de Lhoneux	N/A	N/A
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory	Wei Fan, Haoran Li, Zheye Deng, Weiqi Wang, Yangqiu Song	N/A	N/A
Noise, Novels, Numbers. A Framework for Detecting and Categorizing Noise in Danish and Norwegian Literature	ALI ALLAITH, Daniel Hershcovich, Jens Bjerring-Hansen, Jakob Ingemann Parby, Alexander Conroy, Timothy R Tangherlini	N/A	N/A
QUIK: Towards End-to-end 4-Bit Inference on Generative Large Language Models	Saleh Ashkboos, Ilia Markov, Elias Frantar, Tingxuan Zhong, Xincheng Wang, Jie Ren, Torsten Hoefler, Dan Alistarh	N/A	N/A
Fine-Grained Prediction of Reading Comprehension from Eye Movements	Omer Shubi, Yoav Meiri, Cfir Avraham Hadar, Yevgeni Berzak	N/A	N/A
Efficient Retriever for Multi-Hop Retrieval Question Answerin	Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang	N/A	N/A
Unsupervised Human Preference Learning	Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai, Dilek Hakkani Tur	N/A	N/A
Is Safer Better? The Impact of Guardrails on the Argumentative Strength of LLMs in Hate Speech Countering	Helena Bonaldi, Greta Damo, Nicolás Benjamín Ocampo, Elena Cabrio, Serena Villata, Marco Guerini	N/A	N/A
Leading Whitespaces of Language Models’ Subword Vocabulary Poses a Confound for Calculating Word Probabilities	Byung-Doh Oh, William Schuler	N/A	N/A
LLM4Decompile: Decompiling Binary Code with Large Language Models	Hanzhuo Tan, Qi Luo, Jing Li, Yuqun Zhang	N/A	N/A
From Bottom to Top: Extending the Potential of Parameter Efficient Fine-Tuning	Jihao Gu, Zelin Wang, Yibo Zhang, Ziji Zhang, Ping Gong	N/A	N/A
CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering	Yike Wu, Yi Huang, Nan Hu, YUNCHENG HUA, Guilin Qi, Jiaoyan Chen, Jeff Z. Pan	N/A	N/A
MTLS: Making Texts into Linguistic Symbols	Wenlong Fei, Xiaohua Wang, Min Hu, Qingyu Zhang, Hongbo Li	N/A	N/A
D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection	Yifan Chen, Kuntao Li, Weixing Mai, Qiaofeng Wu, Yun Xue, Fenghuan Li	N/A	N/A
A Generic Method for Fine-grained Category Discovery in Natural Language Texts	Chang Tian, Matthew B. Blaschko, Wenpeng Yin, Mingzhe Xing, Yinliang Yue, Marie-Francine Moens	N/A	N/A
Toxicity Detection is NOT all you Need: Measuring the Gaps to Supporting Volunteer Content Moderators through a User-Centric Method	Yang Trista Cao, Lovely-Frances Domingo, Sarah Gilbert, Michelle L. Mazurek, Katherine Shilton, Hal Daumé III	N/A	N/A
A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models	Jiayin Wang, Fengran Mo, Weizhi Ma, Peijie Sun, Min Zhang, Jian-Yun Nie	N/A	N/A
Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison	Qian Yang, Weixiang Yan, Aishwarya Agrawal	N/A	N/A
Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism	Lang Cao	N/A	N/A
VGBench: A Comprehensive Benchmark of Vector Graphics Understanding and Generation for Large Language Models	Bocheng Zou, Mu Cai, Jianrui Zhang, Yong Jae Lee	N/A	N/A
What do large language models need for machine translation evaluation?	Shenbin Qian, Archchana Sindhujan, Minnie Kabra, Diptesh Kanojia, Constantin Orasan, Tharindu Ranasinghe, Fred Blain	N/A	N/A
Performance-Guided LLM Knowledge Distillation for Efficient Text Classification at Scale	Flavio Di Palo, Prateek Singhi, Bilal H Fadlallah	N/A	N/A
External Knowledge-Driven Argument Mining: Leveraging Attention-Enhanced Multi-Network Models	Debela Gemechu, Chris Reed	N/A	N/A
C3PA: An Open Dataset of Expert-Annotated and Regulation-Aware Privacy Policies to Enable Scalable Regulatory Compliance Audits	Maaz Bin Musa, Rishab Nithyanand, Padmini Srinivasan, Mihailis E. Diamantis, Steven M. Winston, Garrison Allen, Jacob Schiller, Kevin Moore, Sean Quick, Johnathan Melvin	N/A	N/A
MPT: Multimodal Prompt Tuning for Zero-shot Instruction Learning	Taowen Wang, Yiyang Liu, James Chenhao Liang, junhan zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu	N/A	N/A
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification	Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang	N/A	N/A
Incubating Text Classifiers Following User Instruction with Nothing but LLM	Letian Peng, Zilong Wang, Jingbo Shang	N/A	N/A
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL	Ruilin Luo, Liyuan Wang, Binghuai Lin, Zicheng Lin, Yujiu Yang	N/A	N/A
Conditional and Modal Reasoning in Large Language Models	Wesley H. Holliday, Matthew Mandelkern, Cedegao E. Zhang	N/A	N/A
Advancing Large Language Model Attribution through Self-Improving	Lei Huang, Xiaocheng Feng, Weitao Ma, Liang Zhao, Yuchun Fan, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin	N/A	N/A
AlignCap: Aligning Speech Emotion Captioning to Human Preferences	Ziqi Liang, Haoxiang Shi, Hanhui Chen	N/A	N/A
Interpretability-based Tailored Knowledge Editing in Transformers	Yihuai Hong, Aldo Lipani	N/A	N/A
PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling	Yongchao Chen, Jacob Arkin, Yilun Hao, Yang Zhang, Nicholas Roy, Chuchu Fan	N/A	N/A
Empowering Large Language Model for Continual Video Question Answering with Collaborative Prompting	Chen Cai, Zheng Wang, Jianjun Gao, Wenyang Liu, Ye Lu, Runzhong Zhang, Kim-Hui Yap	N/A	N/A
Dissecting Fine-Tuning Unlearning in Large Language Models	Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang	N/A	N/A
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models	Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, zhiheng huang	N/A	N/A
Where is the signal in tokenization space?	Renato Geh, Honghua Zhang, Kareem Ahmed, Benjie Wang, Guy Van den Broeck	N/A	N/A
Private Language Models via Truncated Laplacian Mechanism	Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang	N/A	N/A
Estimating Knowledge in Large Language Models Without Generating a Single Token	Daniela Gottesman, Mor Geva	N/A	N/A
Consistent Autoformalization for Constructing Mathematical Libraries	Lan Zhang, XIN QUAN, Andre Freitas	N/A	N/A
Contextual and Parametric Knowledge: More Context, More Focus	Yufei Tao, Adam Hiatt, Erik Haake, Antonie J. Jetter, Ameeta Agrawal	N/A	N/A
Semantic Training Signals Promote Hierarchical Syntactic Generalization in Transformers	Aditya Yedetore, Najoung Kim	N/A	N/A
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages	Tyler A. Chang, Catherine Arnett, Zhuowen Tu, Ben Bergen	N/A	N/A
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use	Jiajun Xi, Yinong He, Jianing Yang, Yinpei Dai, Joyce Chai	N/A	N/A
MiTTenS: A Dataset for Evaluating Gender Mistranslation	Kevin Robinson, Sneha Kudugunta, Romina Stella, Sunipa Dev, Jasmijn Bastings	N/A	N/A
Teaching LLMs to Abstain across Languages via Multilingual Feedback	Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov	N/A	N/A
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration	Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov	N/A	N/A
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements	Jillian Fisher, Skyler Hallinan, Ximing Lu, Mitchell L Gordon, Zaid Harchaoui, Yejin Choi	N/A	N/A
I Could’ve Asked That: Reformulating Unanswerable Questions	Wenting Zhao, Ge Gao, Claire Cardie, Alexander M Rush	N/A	N/A
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions	Robert Morabito, Sangmitra Madhusudan, Tyler McDonald, Ali Emami	N/A	N/A
Hidden Persuaders: How LLM Political Bias Could Sway Our Elections	Yujin Potter, Shiyang Lai, Junsol Kim, James Evans, Dawn Song	N/A	N/A
SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning	Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Bharat Runwal, James Diffenderfer, Bhavya Kailkhura, Sijia Liu	N/A	N/A
When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives	Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Wenlin Yao, Hassan Foroosh, Dong Yu, Fei Liu	N/A	N/A
An Analysis of Multilingual FActScore	Vu Trong Kim, Michael Krumdick, Varshini Reddy, Franck Dernoncourt, Viet Dac Lai	N/A	N/A
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models	Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo	N/A	N/A
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering	Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli	N/A	N/A
PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval	Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon	N/A	N/A
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects	Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, Yulia Tsvetkov	N/A	N/A
ARES: Alternating Reinforcement Learning and Supervised Fine-Tuning for Enhanced Multi-Modal Chain-of-Thought Reasoning Through Diverse AI Feedback	Ju-Seung Byun, Jiyun Chun, Jihyung Kil, Andrew Perrault	N/A	N/A
Order of Magnitude Speedups for LLM Membership Inference	Rongting Zhang, Martin Andres Bertran, Aaron Roth	N/A	N/A
VIMI: Grounding Video Generation through Multi-modal Instruction	Yuwei Fang, Willi Menapace, Aliaksandr Siarohin, Tsai-Shien Chen, Kuan-Chieh Wang, Ivan Skorokhodov, Graham Neubig, Sergey Tulyakov	N/A	N/A
F$^2$RL: Factuality and Faithfulness Reinforcement Learning Framework for Claim-Guided Evidence-Supported Counterspeech Generation	Haiyang Wang, Yuchen Pan, Xin Song, Xuechen Zhao, Minghao Hu, Bin Zhou	N/A	N/A
Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning	Chang Yang, Peng Zhang, Hui Gao, Jing Zhang	N/A	N/A
Visual Prompting in LLMs for Enhancing Emotion Recognition	Qixuan Zhang, Zhifeng Wang, Dylan Zhang, Yang Liu, Zhenyue Qin, Wenjia Niu, Sabrina Caldwell, Tom Gedeon	N/A	N/A
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding	Pengcheng Li, Xulong Zhang, Jing Xiao, Jianzong Wang	N/A	N/A
Leveraging Conflicts in Social Media Posts: Unintended Offense Dataset	Che Wei Tsai, Yen-Hao Huang, Tsu-keng Liao, Didier Fernando Salazar Estrada, Retnani Latifah, Yi-Shin Chen	N/A	N/A
Outcome-Constrained Large Language Models for Countering Hate Speech	Lingzi Hong, Pengcheng Luo, Eduardo Blanco, Xiaoying Song	N/A	N/A
Multiple Sources are Better Than One: Incorporating External Knowledge in Low-Resource Glossing	Changbing Yang, Garrett Nicolai, Miikka Silfverberg	N/A	N/A
Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks	Ao Wang, Xinghao Yang, Chen Li, Bao-di Liu, Weifeng Liu	N/A	N/A
Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping	Yangyang Zhao, Ben Niu, Mehdi Dastani, Shihan Wang	N/A	N/A
PsyGUARD: An Automated System for Suicide Detection and Risk Assessment in Psychological Counseling	Huachuan Qiu, Lizhi Ma, Zhenzhong Lan	N/A	N/A
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and Filtering	Jiacong Wang, Bohong Wu, Haiyong Jiang, Haoyuan Guo, Xin Xiao, zhou Xun, Jun Xiao	N/A	N/A
DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering	Jing Jin, Houfeng Wang, Hao Zhang, Xiaoguang Li, Zhijiang Guo	N/A	N/A
How Do Humans Write Code? Large Models Do It the Same Way Too	Long Li, Xuzheng He, Haozhe Wang, Linlin Wang, Liang He	N/A	N/A
Retrospex: Language Agent Meets Offline Reinforcement Learning Critic	Yufei Xiang, Yiqun Shen, Yeqin Zhang, Nguyen Cam-Tu	N/A	N/A
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models	Xinyu Liu, Runsong Zhao, Pengcheng Huang, Chunyang Xiao, Bei Li, Jingang Wang, Tong Xiao, JingBo Zhu	N/A	N/A
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation	Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang, Enhong Chen	N/A	N/A
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation	Renhao Li, Minghuan Tan, Derek F. Wong, Min Yang	N/A	N/A
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners	Bowen Jiang, Yangxinyu Xie, Zhuoqun Hao, Xiaomeng Wang, Tanwi Mallick, Weijie J Su, Camillo Jose Taylor, Dan Roth	N/A	N/A
Bayesian Calibration of Win Rate Estimation with LLM Evaluators	Yicheng Gao, Gonghan Xu, Zhe Wang, Arman Cohan	N/A	N/A
MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning	Shuo Yin, Weihao You, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai	N/A	N/A
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients	Weijun Li, Qiongkai Xu, Mark Dras	N/A	N/A
RWKV-CLIP: A Robust Vision-Language Representation Learner	Tiancheng Gu, Kaicheng Yang, Xiang An, Ziyong Feng, Dongnan Liu, Weidong Cai, Jiankang Deng	N/A	N/A
KidLM: Advancing Language Models for Children – Early Insights and Future Directions	Mir Tafseer Nayeem, Davood Rafiei	N/A	N/A
Using Language Models to Disambiguate Lexical Choices in Translation	Josh Barua, Sanjay Subramanian, Kayo Yin, Alane Suhr	N/A	N/A
How Does the Disclosure of AI Assistance Affect the Perceptions of Writing?	Zhuoyan Li, Chen Liang, Jing Peng, Ming Yin	N/A	N/A
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records	Joakim Edin, Maria Maistro, Lars Maaløe, Lasse Borgholt, Jakob Drachmann Havtorn, Tuukka Ruotsalo	N/A	N/A
Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs	Zheng Wang, Zhongyang Li, Jiang Zeren, Dandan Tu, Wei Shi	N/A	N/A
EVEDIT: Event-based Knowledge Editing for Deterministic Knowledge Propagation	Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Ruhi Sarikaya, Kevin Small, Heng Ji	N/A	N/A
Predicting Nonnative Sentence Processing with L2LMs	Tatsuya Aoyama, Nathan Schneider	N/A	N/A
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis	Chuanqi Cheng, Jian Guan, Wei Wu, Rui Yan	N/A	N/A
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs	Shadi Iskander, Sofia Tolmach, Ori Shapira, Nachshon Cohen, Zohar Karnin	N/A	N/A
Cross-Domain Audio Deepfake Detection: Dataset and Analysis	Yuang Li, Min Zhang, Mengxin Ren, Xiaosong Qiao, Miaomiao Ma, Daimeng Wei, Hao Yang	N/A	N/A
MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension	Ting Liu, Zunnan Xu, Zhiqiang Wang, Yue Hu, Liangtao Shi, Quanjun Yin	N/A	N/A
Investigating How Large Language Models Leverage Internal Knowledge to Perform Complex Reasoning	Miyoung Ko, Sue Hyun Park, Joonsuk Park, Minjoon Seo	N/A	N/A
Aligning Translation-Specific Understanding to General Understanding in Large Language Models	Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin	N/A	N/A
FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation	Mohamad Ballout, Anne Dedert, Nohayr Muhammad Abdelmoneim, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger	N/A	N/A
Concept-skill Transferability-based Data Selection for Large Vision-Language Models	Jaewoo Lee, Boyang Li, Sung Ju Hwang	N/A	N/A
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing	Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi LIU, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin	N/A	N/A
Academics Can Contribute to Domain-Specialized Language Models	Mark Dredze, Genta Indra Winata, Prabhanjan Kambadur, Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, David S Rosenberg, Sebastian Gehrmann	N/A	N/A
Beyond Reference: Evaluating High Quality Translations Better than Human References	Keonwoong Noh, Seokjin Oh, Woohwan Jung	N/A	N/A
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement	Pengwei Zhan, Zhen Xu, Qian Tan, Jie Song, Ru Xie	N/A	N/A
SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages	Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, Lester James Validad Miranda, Jennifer Santoso, Elyanah Aco, Akhdan Fadhilah, Jonibek Mansurov, Joseph Marvin Imperial, Onno P. Kampman, Joel Ruben Antony Moniz, Muhammad Ravi Shulthan Habibi, Frederikus Hudi, Jann Railey Montalan, Ryan Ignatius Hadiwijaya, Joanito Agili Lopo, William Nixon, Börje F. Karlsson, James Jaya, Ryandito Diandaru, Yuze GAO, Patrick Amadeus Irawan, Bin Wang, Jan Christian Blaise Cruz, Chenxi Whitehouse, Ivan Halim Parmonangan, Maria Khelli, Wenyu Zhang, Lucky Susanto, Reynard Adha Ryanda, Sonny Lazuardi Hermawan, Dan John Velasco, Muhammad Dehan Al Kautsar, Willy Fitra Hendria, Yasmin Moslem, Noah Flynn, Muhammad Farid Adilazuarda, Haochen Li, Johanes Lee, R. Damanhuri, Shuo Sun, Muhammad Reza Qorib, Amirbek Djanibekov, Wei Qi Leong, Quyet V. Do, Niklas Muennighoff, Tanrada Pansuwan, Ilham Firdausi Putra, Yan Xu, Tai Ngee Chia, Ayu Purwarianti, Sebastian Ruder, William Chandra Tjhi, Peerat Limkonchotiwat, Alham Fikri Aji, Sedrick Keh, Genta Indra Winata, Ruochen Zhang, Fajri Koto, Zheng Xin Yong, Samuel Cahyawijaya	N/A	N/A
Induct-Learn: Short Phrase Prompting with Instruction Induction	Po-Chun Chen, Sheng-Lun Wei, Hen-Hsen Huang, Hsin-Hsi Chen	N/A	N/A
Multi-Granularity History and Entity Similarity Learning for Temporal Knowledge Graph Reasoning	Shi Mingcong, Chunjiang Zhu, Detian Zhang, Shiting Wen, Qing Li	N/A	N/A
LUQ: Long-text Uncertainty Quantification for LLMs	Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier	N/A	N/A
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method	Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng	N/A	N/A
Scaling Synthetic Logical Reasoning Datasets with Context-Sensitive Declarative Grammars	Damien Sileo	N/A	N/A
Improving Spoken Language Modeling with Phoneme Classification: A Simple Fine-tuning Approach	Maxime Poli, Emmanuel Chemla, Emmanuel Dupoux	N/A	N/A
Safely Learning with Private Data: A Federated Learning Framework for Large Language Model	Jia-Ying Zheng, Hainan Zhang, Lingxiang Wang, Wangjie Qiu, Hong-Wei Zheng, Zhi-Ming Zheng	N/A	N/A
Formality Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge	Jiahuan Li, Yiqing Cao, Shujian Huang, Jiajun Chen	N/A	N/A
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?	Yang Luo, Zangwei Zheng, Zirui Zhu, Yang You	N/A	N/A
How Far Can We Extract Diverse Perspectives from Large Language Models?	Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal, Dongyeop Kang	N/A	N/A
EXPLORA: Efficient Exemplar Subset Selection for Complex Reasoning	Kiran Purohit, Venktesh V, Raghuram Devalla, Krishna Mohan Yerragorla, Sourangshu Bhattacharya, Avishek Anand	N/A	N/A
An LLM Feature-based Framework for Dialogue Constructiveness Assessment	Lexin Zhou, Youmna Farag, Andreas Vlachos	N/A	N/A
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System	Zhanpeng Chen, Zhihong Zhu, Wanshi Xu, Xianwei Zhuang, Yuexian Zou	N/A	N/A
Dialog2Flow: Pre-training Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction	Sergio Burdisso, Srikanth Madikeri, Petr Motlicek	N/A	N/A
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation	Raphael Tang, Crystina Zhang, Lixinyu Xu, Yao Lu, Wenyan Li, Pontus Stenetorp, Jimmy Lin, Ferhan Ture	N/A	N/A
Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024	Ilias Chalkidis	N/A	N/A
Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning	Mayi Xu, Yongqi Li, Ke Sun, Tieyun Qian	N/A	N/A
LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations	Shengda Fan, Yanting Wang, Shasha Mo, Jianwei Niu	N/A	N/A
Concept Space Alignment in Multilingual LLMs	Qiwei Peng, Anders Søgaard	N/A	N/A
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model	Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou	N/A	N/A
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian	Peng Liu, Lemei Zhang, Terje Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang	N/A	N/A
RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework	Yifan Wang, Vera Demberg	N/A	N/A
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models	Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang	N/A	N/A
Synergizing In-context Learning with Hints for End-to-end Task-oriented Dialog Systems	Vishal Vivek Saley, Rocktim Jyoti Das, Dinesh Raghu, Mausam .	N/A	N/A
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering	Yuhao Wang, Ruiyang Ren, Junyi Li, Xin Zhao, Jing Liu, Ji-Rong Wen	N/A	N/A
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA	Minzheng Wang, Longze Chen, ChengFu, Liaoshengyi, Xinghua Zhang, Bingliwu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li	N/A	N/A
On Mitigating Performance Disparities in Multilingual Speech Recognition	Monorama Swain, Anna Katrine van Zee, Anders Søgaard	N/A	N/A
Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting	Stephen Meisenbacher, Florian Matthes	N/A	N/A
From Coarse to Fine: Impacts of Feature-Preserving and Feature-Compressing Connectors on Perception in Multimodal Models	Junyan Lin, Haoran Chen, Dawei Zhu, Xiaoyu Shen	N/A	N/A
What is ‘‘Typological Diversity’’ in NLP?	Esther Ploeger, Wessel Poelman, Miryam de Lhoneux, Johannes Bjerva	N/A	N/A
The Computational Anatomy of Humility: Modeling Intellectual Humility in Online Public Discourse	Xiaobo Guo, Neil Potnis, Melody Yu, Nabeel Gillani, Soroush Vosoughi	N/A	N/A
Consistent Bidirectional Language Modelling: Expressive Power and Representational Conciseness	Georgi Shopov, Stefan Gerdjikov	N/A	N/A
Benchmarking Vision Language Models for Cultural Understanding	Shravan Nayak, Kanishk Jain, Rabiul Awal, Siva Reddy, Sjoerd van Steenkiste, Lisa Anne Hendricks, Karolina Stanczak, Aishwarya Agrawal	N/A	N/A
Methods of Automatic Matrix Language Determination for Code-Switched Speech	Olga Iakovenko, Thomas Hain	N/A	N/A
Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts	Jaewook Lee, Yeajin Jang, Hongjin KIM, Woojin Lee, Harksoo Kim	N/A	N/A
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models	Jerry Huang, Prasanna Parthasarathi, Mehdi Rezagholizadeh, Sarath Chandar	N/A	N/A
Teaching Small Language Models Reasoning through Counterfactual Distillation	FengTao, Yicheng Li, Li Chenglin, Hao Chen, Fei Yu, Yin Zhang	N/A	N/A
Do Not Worry if You Do Not Have Data: Building Pretrained Language Models Using Translationese	Meet Doshi, Raj Dabre, Pushpak Bhattacharyya	N/A	N/A
Quantifying the Gap Between Machine Translation and Native Language in Training for Multimodal, Multilingual Retrieval	Kyle Buettner, Adriana Kovashka	N/A	N/A
MTA4DPR: Multi-Teaching-Assistants Based Iterative Knowledge Distillation for Dense Passage Retrieval	Qixi Lu, Gongbo Tang	N/A	N/A
Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates	Aida Kostikova, Dominik Beese, Benjamin Paassen, Ole Pütz, Gregor Wiedemann, Steffen Eger	N/A	N/A
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling	Yu Bai, Xiyuan Zou, Heyan Huang, Sanxing Chen, Marc-Antoine Rondeau, Yang Gao, Jackie CK Cheung	N/A	N/A
Story Embeddings — Narrative-Focused Representations of Fictional Stories	Hans Ole Hatzel, Chris Biemann	N/A	N/A
C-LLM: Learn to Check Chinese Spelling Errors Character by Character	Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou	N/A	N/A
PSC: Extending Context Window of Large Language Models via Phase Shift Calibration	Wenqiao Zhu, Chao Xu, Lulu Wang, Jun Wu	N/A	N/A
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection	Bin Lin, Yang Ye, Bin Zhu, Jiaxi Cui, Munan Ning, Peng Jin, Li Yuan	N/A	N/A
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales	Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao	N/A	N/A
Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing	Richard Diehl Martinez, Zebulon Goriely, Andrew Caines, Paula Buttery, Lisa Beinborn	N/A	N/A
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations	Yunze Xiao, Yujia Hu, Kenny Tsu Wei Choo, Roy Ka-Wei Lee	N/A	N/A
Boosting Scientific Concepts Understanding: Can Analogies from Teacher Models Empower Student Models?	Siyu Yuan, Cheng Jiayang, Lin Qiu, Deqing Yang	N/A	N/A
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation	Jirui Qi, Gabriele Sarti, Raquel Fernández, Arianna Bisazza	N/A	N/A
Do Large Language Models Know How Much They Know?	Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar	N/A	N/A
Investigating Mysteries of CoT-Augmented Distillation	Somin Wadhwa, Silvio Amir, Byron C Wallace	N/A	N/A
SciPrompt: Knowledge-Augmented Prompting for Fine-Grained Categorization of Scientific Topics	Zhiwen You, Kanyao Han, Haotian Zhu, Bertram Ludaescher, Jana Diesner	N/A	N/A
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP	Samyadeep Basu, Shell Xu Hu, Maziar Sanjabi, Daniela Massiceti, Soheil Feizi	N/A	N/A
Learning from Natural Language Explanations for Generalizable Entity Matching	Somin Wadhwa, ADIT KRISHNAN, Runhui Wang, Byron C Wallace, Luyang Kong	N/A	N/A
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation	Zhuohang Li, Jiaxin Zhang, Chao Yan, Kamalika Das, Sricharan Kumar, Murat Kantarcioglu, Bradley A. Malin	N/A	N/A
On the Reliability of Psychological Scales on Large Language Models	Jen-tse Huang, Wenxuan Wang, Man Ho LAM, Eric John Li, Wenxiang Jiao, Michael Lyu	N/A	N/A
Contrastive Entity Coreference and Disambiguation for Historical Texts	Abhishek Arora, Emily Silcock, Melissa Dell, Leander Heldring	N/A	N/A
Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models	Jeonghwan Kim, Heng Ji	N/A	N/A
Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts	Sumit Asthana, Hannah Rashkin, Elizabeth Clark, Fantine Huot, Mirella Lapata	N/A	N/A
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment	Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu	N/A	N/A
Focused Large Language Models are Stable Many-Shot Learners	Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li	N/A	N/A
Reconsidering Sentence-Level Sign Language Translation	Garrett Tanzer, Maximus Shengelia, Ken Harrenstien, David Uthus	N/A	N/A
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities	Sreyan Ghosh, Sonal Kumar, Ashish Seth, Chandra Kiran Reddy Evuru, Utkarsh Tyagi, S Sakshi, Oriol Nieto, Ramani Duraiswami, Dinesh Manocha	N/A	N/A
Verba volant, scripta volant? Don’t worry! There are computational solutions for protoword reconstruction	Liviu P Dinu, Ana Sabina Uban, Alina Maria Cristea, Ioan-Bogdan Iordache, Teodor-George Marchitan, Simona Georgescu, Laurentiu Zoicas	N/A	N/A
ChatGPT Doesn’t Trust LA Chargers Fans: Guardrail Sensitivity in Context	Victoria R Li, Yida Chen, Naomi Saphra	N/A	N/A
Personas as a Way to Model Truthfulness in Language Models	Nitish Joshi, Javier Rando, Abulhair Saparov, Najoung Kim, He He	N/A	N/A
Satyrn: A Platform for Analytics Augmented Generation	Marko Sterbentz, Cameron Barrie, Shubham Shahi, Abhratanu Dutta, Donna Hooshmand, Harper Pack, Kristian J Hammond	N/A	N/A
EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning	Ashish Seth, Ramaneswaran S, S Sakshi, Sonal Kumar, Sreyan Ghosh, Dinesh Manocha	N/A	N/A
EPO: Hierarchical LLM Agents with Environment Preference Optimization	Qi Zhao, Haotian Fu, Chen Sun, George Konidaris	N/A	N/A
Detection and Measurement of Syntactic Templates in Generated Text	Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C Wallace	N/A	N/A
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models	Xinyu Pi, Mingyuan Wu, Jize Jiang, Haozhen Zheng, Beitong Tian, ChengXiang Zhai, Klara Nahrstedt, Zhiting Hu	N/A	N/A
Optimized Speculative Sampling for GPU Hardware Accelerators	Dominik Wagner, Seanie Lee, Ilja Baumann, Philipp Seeberger, Korbinian Riedhammer, Tobias Bocklet	N/A	N/A
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts	Zhaoxuan Tan, Zheyuan Liu, Meng Jiang	N/A	N/A
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning	Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang	N/A	N/A
Unifying Multimodal Retrieval via Document Screenshot Embedding	Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin	N/A	N/A
Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation	Shaomu Tan, Di Wu, Christof Monz	N/A	N/A
An Audit on the Perspectives and Challenges of Hallucinations in NLP	Pranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs, Mukund Srinath, Koustava Goswami, Sarah Rajtmajer, Shomir Wilson	N/A	N/A
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models	Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut	N/A	N/A
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models	Junjie Chu, Zeyang Sha, Michael Backes, Yang Zhang	N/A	N/A
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering	Armin Toroghi, Willis Guo, Mohammad Mahdi Abdollah Pour, Scott Sanner	N/A	N/A
Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution	Armin Toroghi, Willis Guo, Ali Pesaranghader, Scott Sanner	N/A	N/A
Understanding and Mitigating Language Confusion in LLMs	Kelly Marchisio, Wei-Yin Ko, Alexandre Berard, Théo Dehaze, Sebastian Ruder	N/A	N/A
Can Large Language Models Learn Independent Causal Mechanisms?	Gael Gendron, Bao Trung Nguyen, Alex Yuxuan Peng, Michael Witbrock, Gillian Dobbie	N/A	N/A
MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models	Sarfaroz Yunusov, Hamza Sidat, Ali Emami	N/A	N/A
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context	Ziyi Liu, Abhishek Anand, Pei Zhou, Jen-tse Huang, Jieyu Zhao	N/A	N/A
Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia	Farhan Samir, Chan Young Park, Vered Shwartz, Anjalie Field, Yulia Tsvetkov	N/A	N/A
From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models	Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, EunJeong Hwang, Vered Shwartz	N/A	N/A
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation	Karin De Langis, Ryan Koo, Dongyeop Kang	N/A	N/A
MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model	Jiahao Huo, Yibo Yan, Boren Hu, Yutao Yue, Xuming Hu	N/A	N/A
Learning to Extract Structured Entities Using Language Models	Haolun Wu, Ye Yuan, Liana Mikaelyan, Alexander Meulemans, Xue Liu, James Hensman, Bhaskar Mitra	N/A	N/A
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons	Adian Liusie, Vatsal Raina, Yassir Fathullah, Mark Gales	N/A	N/A
A Survey of AMR Applications	Shira Wein, Juri Opitz	N/A	N/A
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning	Yiwu Zhong, Zi-Yuan Hu, Michael Lyu, Liwei Wang	N/A	N/A
CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation	Shahla Farzana, Ivana Lucero, Vivian Villegas, Vera C Kaelin, Mary Khetani, Natalie Parde	N/A	N/A
Secured Weight Release for Large Language Models via Taylor Expansion	Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu	N/A	N/A
TimeR$^4$ : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering	Xinying Qian, Ying Zhang, Yu Zhao, Baohang Zhou, Xuhui Sui, Li Zhang, Kehui Song	N/A	N/A
Knowledge-Centric Hallucination Detection	Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Yue Zhang, Zheng Zhang	N/A	N/A
Revealing the Parallel Multilingual Learning within Large Language Models	Yongyu Mu, Peinan Feng, Zhiquan Cao, Yuzhang Wu, Bei Li, Chenglong Wang, Tong Xiao, Kai Song, Tongran Liu, Chunliang Zhang, JingBo Zhu	N/A	N/A
Automatic Instruction Evolving for Large Language Models	Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen	N/A	N/A
RepEval: Effective Text Evaluation with LLM Representation	Shuqian Sheng, Yi Xu, Tianhang Zhang, Zanwei Shen, Luoyi Fu, Jiaxin Ding, Lei Zhou, Xiaoying Gan, Xinbing Wang, Chenghu Zhou	N/A	N/A
Generative Models for Automatic Medical Decision Rule Extraction from Text	Yuxin He, Buzhou Tang, Xiaoling Wang	N/A	N/A
Encoding and Controlling Global Semantics for Long-form Video Question Answering	Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy T Nguyen, See-Kiong Ng, Anh Tuan Luu	N/A	N/A
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis	Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang	N/A	N/A
Enhancing Legal Case Retrieval via Scaling High-quality Synthetic Query-Candidate Pairs	Cheng Gao, Chaojun Xiao, Zhenghao Liu, Huimin Chen, Zhiyuan Liu, Maosong Sun	N/A	N/A
Does Large Language Model Contain Task-Specific Neurons?	Ran Song, Shizhu He, Shuting Jiang, Yantuan Xian, Shengxiang Gao, Kang Liu, Zhengtao Yu	N/A	N/A
Liar, Liar, Logical Mire: A Benchmark for Suppositional Reasoning in Large Language Models	Philipp Mondorf, Barbara Plank	N/A	N/A
Advancing Test-Time Adaptation in Wild Acoustic Test Settings	Hongfu Liu, Hengguan Huang, Ye Wang	N/A	N/A
Learning to Retrieve Iteratively for In-Context Learning	Yunmo Chen, Tongfei Chen, Harsh Jhamtani, Patrick Xia, Richard Shin, Jason Eisner, Benjamin Van Durme	N/A	N/A
Taxonomy-guided Semantic Indexing for Academic Paper Search	SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu	N/A	N/A
Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts	Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che	N/A	N/A
Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models	Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh	N/A	N/A
Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation	Zhiyu Cao, PEIFENG LI, Yaxin FAN, Qiaoming Zhu	N/A	N/A
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs	Yiyuan Li, Shichao Sun, Pengfei Liu	N/A	N/A
Aligning Large Language Models with Diverse Political Viewpoints	Dominik Stammbach, Philine Widmer, Eunjung Cho, Caglar Gulcehre, Elliott Ash	N/A	N/A
“You Gotta be a Doctor, Lin” : An Investigation of Name-Based Bias of Large Language Models in Employment Recommendations	Huy Nghiem, John Prindle, Jieyu Zhao, Hal Daumé III	N/A	N/A
Extending Context Window of Large Language Models from a Distributional Perspective	Yingsheng Wu, Yuxuan Gu, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin	N/A	N/A
Leveraging pre-trained language models for linguistic analysis: A case of argument structure constructions	Hakyung Sung, Kristopher Kyle	N/A	N/A
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration	Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng	N/A	N/A
Position Engineering: Boosting Large Language Models through Positional Information Manipulation	Zhiyuan He, Huiqiang Jiang, Zilong Wang, Yuqing Yang, Luna K. Qiu, Lili Qiu	N/A	N/A
Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale	Junying Chen, Chi Gui, OuyangRuyi, Anningzhe Gao, Shunian Chen, Guiming Hardy Chen, Xidong Wang, Zhenyang Cai, Ke Ji, Xiang Wan, Benyou Wang	N/A	N/A
ADELIE: Aligning Large Language Models on Information Extraction	Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li	N/A	N/A
Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons	Yifei Wang, Yuheng Chen, Wanting Wen, Yu Sheng, Linjing Li, Daniel Dajun Zeng	N/A	N/A
Lexically Grounded Subword Segmentation	Jindřich Libovický, Jindřich Helcl	N/A	N/A
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees	Yuhui Li, Fangyun Wei, Chao Zhang, Hongyang Zhang	N/A	N/A
Do Text-to-Vis Benchmarks Test Real Use of Visualizations?	Hy Nguyen, Xuefei He, Andrew Reeson, Cecile Paris, Josiah Poon, Jonathan K. Kummerfeld	N/A	N/A
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs	Chengyuan Liu, Shihang Wang, Lizhi Qing, Kun Kuang, Yangyang Kang, Changlong Sun, Fei Wu	N/A	N/A
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning	Jingyu Hu, Weiru Liu, Mengnan Du	N/A	N/A
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and Challenges	Nguyen Van Dinh, Thanh Chi Dang, Luan Thanh Nguyen, Kiet Van Nguyen	N/A	N/A
Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment	Vyas Raina, Adian Liusie, Mark Gales	N/A	N/A
Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal	Zhicong Lu, Li Jin, PeiguangLi, Yu Tian, Linhao Zhang, Sirui Wang, Guangluan Xu, Changyuan Tian, Xunliang Cai	N/A	N/A
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs	Chengyuan Liu, Shihang Wang, Yangyang Kang, Lizhi Qing, Fubang Zhao, Chao Wu, Changlong Sun, Kun Kuang, Fei Wu	N/A	N/A
Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models	Vyas Raina, Rao Ma, Charles McGhee, Kate Knill, Mark Gales	N/A	N/A
GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation	Georgios Katsimpras, Georgios Paliouras	N/A	N/A
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMs	Zichen Chen, Jianda Chen, Ambuj Singh, Misha Sra	N/A	N/A
Divide and Conquer Radiology Report Generation via Observation Level Fine-grained Pretraining and Prompt Tuning	Yuanpin Zhou, Huogen Wang	N/A	N/A
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information	Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng	N/A	N/A
UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models	Zhanyue Qin, Haochuan Wang, Deyuan Liu, Ziyang Song, Cunhang Fan, Zhao Lv, Jinlin Wu, Zhen Lei, Zhiying Tu, Dianhui Chu, Xiaoyan Yu, Dianbo Sui	N/A	N/A
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments	Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su	N/A	N/A
MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space	Yihong Tang, Bo Wang, Dongming Zhao, Jinxiaojia, Zhangjijun, Ruifang He, Yuexian Hou	N/A	N/A
KnowledgeSG: Privacy-Preserving Synthetic Text Generation With Knowledge Distillation From Server	WenHao Wang, Xiaoyu Liang, Rui Ye, Jingyi Chai, Siheng Chen, Yanfeng Wang	N/A	N/A
DAMRO: Dive into the Attention Mechanism of LVLM to Reduce Object Hallucination	Xuan Gong, Tianshi Ming, Xinpeng Wang, Zhihua Wei	N/A	N/A
Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models	Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao	N/A	N/A
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale	Wenzhen Zheng, Wenbo Pan, Xu Xu, Libo Qin, Li Yue, Ming Zhou	N/A	N/A
An Empirical Study of Multilingual Reasoning Distillation for Question Answering	Patomporn Payoungkhamdee, Peerat Limkonchotiwat, Jinheon Baek, Potsawee Manakul, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong	N/A	N/A
Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?	Gal Yona, Roee Aharoni, Mor Geva	N/A	N/A
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?	Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig	N/A	N/A
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning	Ming Shan Hee, Aditi Kumaresan, Roy Ka-Wei Lee	N/A	N/A
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding	Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao JING, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Long Chen, Yangqiu Song	N/A	N/A
ECON: On the Detection and Resolution of Evidence Conflicts	Cheng Jiayang, Qianqian Zhuang, Chunkit Chan, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang	N/A	N/A
“Image, Tell me your story!” Predicting the original meta-context of visual misinformation	Jonathan Tonglet, Marie-Francine Moens, Iryna Gurevych	N/A	N/A
Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and Schema Pruning	Zhili Shen, Pavlos Vougiouklis, Chenxin Diao, Kaustubh Vyas, Yuanyi Ji, Jeff Z. Pan	N/A	N/A
Mixture-of-Subspaces in Low-Rank Adaptation	Taiqiang Wu, Jiahao Wang, Zhe Zhao, Ngai Wong	N/A	N/A
A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data	Ishaan Watts, Varun Gumma, Aditya Yadavalli, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram	N/A	N/A
LawBench: Benchmarking Legal Knowledge of Large Language Models	Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Alan Huang, Songyang Zhang, Kai Chen, Zhixin Yin, Zongwen Shen, Jidong Ge, Vincent Ng	N/A	N/A
Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards	Furkan Şahinuç, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych	N/A	N/A
Efficient Vision-Language pre-training via domain-specific learning for human activities	Adrian Bulat, Yassine Ouali, Ricardo Guerrero, Brais Martinez, Georgios Tzimiropoulos	N/A	N/A
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training	Wenbo Li, Guohao Li, Zhibin Lan, Xue Xu, Wanru Zhuang, Jiachen Liu, Xinyan Xiao, Jinsong Su	N/A	N/A
Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works	Xinfeng Yuan, Siyu Yuan, Yuhan Cui, Tianhe Lin, Xintao Wang, Rui Xu, Jiangjie Chen, Deqing Yang	N/A	N/A
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners	Shimao Zhang, Changjiang Gao, Wenhao Zhu, Jiajun Chen, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang	N/A	N/A
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning	Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin	N/A	N/A
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models	Zi Gong, Hang Yu, Cong Liao, Bingchang Liu, Chaoyu Chen, Jianguo Li	N/A	N/A
mDPO: Conditional Preference Optimization for Multimodal Large Language Models	Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen	N/A	N/A
Data Advisor: Data Curation with Foresight for Safety Alignment of Large Language Models	Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan	N/A	N/A
Language-to-Code Translation with a Single Labeled Example	Kaj Bostrom, Harsh Jhamtani, Hao Fang, Sam Thomson, Richard Shin, Patrick Xia, Benjamin Van Durme, Jason Eisner, Jacob Andreas	N/A	N/A
Attribute or Abstain: Large Language Models as Long Document Assistants	Jan Buchmann, Xiao Liu, Iryna Gurevych	N/A	N/A
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models	Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma	N/A	N/A
Retrieved In-Context Principles from Previous Mistakes	Hao Sun, Yong Jiang, Bo Wang, Yingyan Hou, Yan Zhang, Pengjun Xie, Fei Huang	N/A	N/A
EmoKnob: Enhance Voice Cloning with Fine-Grained Emotion Control	Haozhe Chen, Run Chen, Julia Hirschberg	N/A	N/A
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models	Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang	N/A	N/A
Deterministic Weighted L* Algorithm	Clemente Pasti, Talu Karagöz, Franz Nowak, Anej Svete, Ryan Cotterell	N/A	N/A
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection	Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin	N/A	N/A
Pelican: Correcting Hallucination in Vision-LLMs via Claim Decomposition and Program of Thought Verification	Pritish Sahu, Karan Sikka, Ajay Divakaran	N/A	N/A
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes	Yusuke Hirota, Jerone Andrews, Dora Zhao, Orestis Papakyriakopoulos, Apostolos Modas, Yuta Nakashima, Alice Xiang	N/A	N/A
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?	Di Cao, Yong Liao, Xiuwei Shang	N/A	N/A
Unsupervised End-to-End Task-Oriented Dialogue with LLMs: The Power of the Noisy Channel	Brendan King, Jeffrey Flanigan	N/A	N/A
Humans or LLMs as the Judge? A Study on Judgement Bias	Guiming Hardy Chen, Shunian Chen, Ziche Liu, Feng Jiang, Benyou Wang	N/A	N/A
WPO: Enhancing RLHF with Weighted Preference Optimization	Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu	N/A	N/A
Walking in Others’ Shoes: How Perspective-Taking Guides Large Language Models in Reducing Toxicity and Bias	Rongwu Xu, Zian Zhou, Tianwei Zhang, Zehan Qi, SU YAO, Ke Xu, Wei Xu, Han Qiu	N/A	N/A
MetaReflection: Learning Instructions for Language Agents using Past Reflections	Priyanshu Gupta, Shashank Kirtania, Ananya Singha, Sumit Gulwani, Arjun Radhakrishna, Gustavo Soares, Sherry Shi	N/A	N/A
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors	Nico Daheim, Jakub Macina, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan	N/A	N/A
On Eliciting Syntax from Language Models via Hashing	Yiran Wang, Masao Utiyama	N/A	N/A
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios	Zetian Ouyang, Yishuai Qiu, Linlin Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He	N/A	N/A
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples	Heng Yang	N/A	N/A
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages	Pretam Ray, Jivnesh Sandhan, Amrith Krishna, Pawan Goyal	N/A	N/A
Perceptions of Linguistic Uncertainty by Language Models and Humans	Catarina G Belém, Markelle Kelly, Mark Steyvers, Sameer Singh, Padhraic Smyth	N/A	N/A
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM	Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung	N/A	N/A
Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding	Xiaoyu DONG, Yujie Feng, ZEXIN LU, Guangyuan SHI, Xiao-Ming Wu	N/A	N/A
Knowledge Conflicts for LLMs: A Survey	Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru WANG, Yue Zhang, Wei Xu	N/A	N/A
Generative AI in the Era of “Alternative Facts”	Saadia Gabriel, Liang Lyu, James Siderius, Marzyeh Ghassemi, Jacob Andreas, Asuman E. Ozdaglar	N/A	N/A
MEANT: Multimodal Encoder for Antecedent Information	Benjamin Irving, Annika Marie Schoene	N/A	N/A
A Thorough Examination of Decoding Methods in the Era of LLMs	Chufan Shi, HAORAN YANG, Deng Cai, Zhisong Zhang, Yifan Wang, Yujiu Yang, Wai Lam	N/A	N/A
AGRaME: Any-Granularity Ranking with Multi-Vector Embeddings	Revanth Gangi Reddy, Omar Attia, Yunyao Li, Heng Ji, Saloni Potdar	N/A	N/A
FIRST: Faster Improved Listwise Reranking with Single Token Decoding	Revanth Gangi Reddy, JaeHyeok Doo, Yifei Xu, Md Arafat Sultan, Deevya Swain, Avirup Sil, Heng Ji	N/A	N/A
Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights	Hongjin KIM, Jai-Eun Kim, Harksoo Kim	N/A	N/A
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods	Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang, Rong Ge, Jian Pei, Neil Zhenqiang Gong, Bhuwan Dhingra	N/A	N/A
“Flex Tape Can’t Fix That”: Bias and Misinformation in Edited Language Models	Karina H Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut	N/A	N/A
Revisiting Who’s Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective	Yujian Liu, Yang Zhang, Tommi Jaakkola, Shiyu Chang	N/A	N/A
LIONs: An Empirically Optimized Approach to Align Language Models	Xiao Yu, Qingyang Wu, Yu Li, Zhou Yu	N/A	N/A
Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing	Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada	N/A	N/A
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery	Yu Zhang, Xiusi Chen, Bowen Jin, Sheng Wang, Shuiwang Ji, Wei Wang, Jiawei Han	N/A	N/A
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents	Liyan Tang, Philippe Laban, Greg Durrett	N/A	N/A
Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning	John Wu, David Wu, Jimeng Sun	N/A	N/A
MOSEL: Inference Serving Using Dynamic Modality Selection	Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J Yadwadkar, Aditya Akella	N/A	N/A
From RAG to Riches: Retrieval Interlaced with Sequence Generation	Palak Jain, Livio Baldini Soares, Tom Kwiatkowski	N/A	N/A
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition	Hsuan Su, Hua Farn, Fan-Yun Sun, Shang-Tse Chen, Hung-yi Lee	N/A	N/A
Learning to Correct for QA Reasoning with Black-box LLMs	Jaehyung Kim, Dongyoung Kim, Yiming Yang	N/A	N/A
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?	Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant	N/A	N/A
PostMark: A Robust Blackbox Watermark for Large Language Models	Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Frederick Wieting, Mohit Iyyer	N/A	N/A
Assessing “Implicit” Retrieval Robustness of Large Language Models	Xiaoyu Shen, Rexhina Blloshmi, Dawei Zhu, Jiahuan Pei, Wei Zhang	N/A	N/A
On the Relationship between Truth and Political Bias in Language Models	Suyash Fulay, William Brannon, Shrestha Mohanty, Cassandra Overney, Elinor Poole-Dayan, Deb Roy, Jad Kabbara	N/A	N/A
Can Active Label Correction Improve LLM-based Modular AI Systems?	Karan Taneja, Ashok Goel	N/A	N/A
Statistical Uncertainty in Word Embeddings: GloVe-V	Andrea Vallebueno, Cassandra Handan-Nader, Christopher D Manning, Daniel E. Ho	N/A	N/A
Annotation alignment: Comparing LLM and human annotations of conversational safety	Rajiv Movva, Pang Wei Koh, Emma Pierson	N/A	N/A
DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions	Nigel Fernandez, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Otero Ornelas, Andrew Lan	N/A	N/A
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention	Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang	N/A	N/A
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models	Yuetai Li, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Dinuka Sahabandu, Bhaskar Ramasubramanian, Radha Poovendran	N/A	N/A
Enhancing Reinforcement Learning with Intrinsic Rewards from Language Model Critique	Meng Cao, Lei Shu, Lei Yu, Yun Zhu, Nevan Wichers, Yinxiao Liu, Lei Meng	N/A	N/A
Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models	Layla Bouzoubaa, Elham Aghakhani, Shadi Rezapour	N/A	N/A
Efficient Sequential Decision Making with Large Language Models	Dingyang Chen, Qi Zhang, Yinglun Zhu	N/A	N/A
SignCLIP: Connecting Text and Sign Language by Contrastive Learning	Zifan Jiang, Gerard Sant, Amit Moryossef, Mathias Müller, Rico Sennrich, Sarah Ebling	N/A	N/A
APPLS: Evaluating Evaluation Metrics for Plain Language Summarization	Yue Guo, Tal August, Gondy Leroy, Trevor Cohen, Lucy Lu Wang	N/A	N/A
Ontologically Faithful Generation of Non-Player Character Dialogues	Nathaniel Weir, Ryan Thomas, Randolph d’Amore, Kellie Hill, Benjamin Van Durme, Harsh Jhamtani	N/A	N/A
LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives	Luísa Shimabucoro, Sebastian Ruder, Julia Kreutzer, Marzieh Fadaee, Sara Hooker	N/A	N/A
RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs	Ekaterina Taktasheva, Maxim Bazhukov, Kirill Koncha, Alena Fenogenova, Ekaterina Artemova, Vladislav Mikhailov	N/A	N/A
Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction	Zheye Deng, Chunkit Chan, Weiqi Wang, Yuxi Sun, Wei Fan, Tianshi Zheng, Yauwai Yim, Yangqiu Song	N/A	N/A
Toward Compositional Behavior in Neural Models: A Survey of Current Views	Kate McCurdy, Paul Soulos, Paul Smolensky	N/A	N/A
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs	Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, David Broman, Christopher Potts, Matei Zaharia, Omar Khattab	N/A	N/A
Reverse-Engineering the Reader	Samuel Kiegeland, Ethan Wilcox, Afra Amini, David Robert Reich, Ryan Cotterell	N/A	N/A
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation	Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang	N/A	N/A
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text	Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun	N/A	N/A
Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning	David Schulte, Felix Hamborg, Alan Akbik	N/A	N/A
The effects of distance on NPI illusive effects in BERT	So Young Lee, Mai Ha Vu	N/A	N/A
Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic	Nathaniel Weir, Kate Sanders, Orion Weller, Shreya Sharma, Dongwei Jiang, Zhengping Jiang, Bhavana Dalvi Mishra, Oyvind Tafjord, Peter Jansen, Peter Clark, Benjamin Van Durme	N/A	N/A
Susu Box or Piggy Bank: Assessing Cultural Commonsense Knowledge between Ghana and the US	Christabel Acquaye, Haozhe An, Rachel Rudinger	N/A	N/A
Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding	Yue Fan, Lei Ding, Ching-Chen Kuo, Shan Jiang, Yang Zhao, Xinze Guan, Jie Yang, Yi Zhang, Xin Eric Wang	N/A	N/A
Ranking Manipulation for Conversational Search Engines	Samuel Pfrommer, Yatong Bai, Tanmay Gautam, Somayeh Sojoudi	N/A	N/A
Fast Forwarding Low-Rank Training	Adir Rahamim, Naomi Saphra, Sara Kangaslahti, Yonatan Belinkov	N/A	N/A
Precise Model Benchmarking with Only a Few Observations	Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort	N/A	N/A
Attribute Diversity Determines the Systematicity Gap in VQA	Ian Berlot-Attwell, Kumar Krishna Agrawal, Annabelle Michael Carrell, Yash Sharma, Naomi Saphra	N/A	N/A
“Rows, Columns and Values, Oh My!” Synthesizing Scientific Literature into Tables using Language Models	Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S Weld, Joseph Chee Chang, Kyle Lo	N/A	N/A
Development of Cognitive Intelligence in Pre-trained Language Models	Raj Sanjay Shah, Khushi Bhardwaj, Sashank Varma	N/A	N/A
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding	Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui	N/A	N/A
Birdie: Advancing State Space Models with a Minimalist Architecture and Novel Pre-training Objectives	Sam Blouir, Jimmy T.H. Smith, Antonios Anastasopoulos, Amarda Shehu	N/A	N/A
Is It Good Data for Multilingual Instruction Tuning or Just Bad Multilingual Evaluation for Large Language Models?	Pinzhen Chen, Simon Yu, Zhicheng Guo, Barry Haddow	N/A	N/A
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs	Sheridan Feucht, David Atkinson, Byron C Wallace, David Bau	N/A	N/A
TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering	Chuyi Shang, Amos You, Sanjay Subramanian, Trevor Darrell, Roei Herzig	N/A	N/A
Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding	Biswesh Mohapatra, Manav Nitin Kapadnis, Laurent Romary, Justine Cassell	N/A	N/A
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting	Zhepeng Wang, Runxue Bao, Yawen Wu, Jackson Taylor, Cao Xiao, Feng Zheng, Weiwen Jiang, Shangqian Gao, Yanfu Zhang	N/A	N/A
If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions	Reza Esfandiarpoor, Cristina Menghini, Stephen Bach	N/A	N/A
Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction	Bowen Zhang, Harold Soh	N/A	N/A
MQuinE: a Cure for “Z-paradox” in Knowledge Graph Embedding	Yang Liu, Huang Fang, Yunfeng Cai, Mingming Sun	N/A	N/A
Can Transformer Language Models Learn $n$-gram Language Models?	Anej Svete, Nadav Borenstein, Mike Zhou, Ryan Cotterell	N/A	N/A
StablePrompt : Automatic Prompt Tuning using Reinforcement Learning for Large Language Model	Minchan Kwon, Gaeun Kim, Jongsuk Kim, Haeil Lee, Junmo Kim	N/A	N/A
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems	Philippe Laban, Alexander Fabbri, Caiming Xiong, Chien-Sheng Wu	N/A	N/A
Multi-pass Decoding for Grammatical Error Correction	Xiaoying Wang, Lingling Mu, Jingyi Zhang, Hongfei Xu	N/A	N/A
Into the Unknown Unknowns: Engaged Human Learning through Participation in Language Model Agent Conversations	Yucheng Jiang, Yijia Shao, Dekun Ma, Sina Semnani, Monica Lam	N/A	N/A
SCOI: Syntax-augmented Coverage-based In-context Example Selection for Machine Translation	Chenming Tang, Zhixiang Wang, Yunfang Wu	N/A	N/A
Efficient Temporal Extrapolation of Multimodal Large Language Models with Temporal Grounding Bridge	Yuxuan Wang, Yueqian Wang, Pengfei Wu, Jianxin Liang, Dongyan Zhao, Yang Liu, Zilong Zheng	N/A	N/A
STORYSUMM: Evaluating Faithfulness in Story Summarization	Melanie Subbiah, Faisal Ladhak, Akankshya Mishra, Griffin Thomas Adams, Lydia Chilton, Kathleen McKeown	N/A	N/A
MMOE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts	Haofei Yu, Zhengyang Qi, Lawrence Keunho Jang, Russ Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang	N/A	N/A
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer	Lu Zhang, Tiancheng Zhao, Heting Ying, Yibo Ma, Kyusong Lee	N/A	N/A
Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension	Lin Ai, Zheng Hui, Zizhou Liu, Julia Hirschberg	N/A	N/A
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions	Jun Rao, Xuebo Liu, Lian Lian, shengjun cheng, Yunjie Liao, Min Zhang	N/A	N/A
ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers	Yuzhe Gu, Enmao Diao	N/A	N/A
Breaking ReLU Barrier: Generalized MoEfication for Dense Pretrained Models	Jaeseong Lee, seung-won hwang, Wonpyo Park, Mingi Ji	N/A	N/A
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood	Yang Xu, Yu Wang, Hao An, Yongyuan Li, Zhichen Liu	N/A	N/A
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning	Jiahui Li, Hanlin Zhang, Fengda Zhang, Tai-Wei Chang, Kun Kuang, Long Chen, JUN ZHOU	N/A	N/A
Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models	XiaoHua Feng, Chaochao Chen, Yuyuan Li, Zibin Lin	N/A	N/A
ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs	Changchun Liu, Kai Zhang, Junzhe Jiang, Zirui Liu, Hanqing Tao, Min Gao, Enhong Chen	N/A	N/A
On the In-context Generation of Language Models	Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu	N/A	N/A
Atomic Inference for NLI with Generated Facts as Atoms	Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei	N/A	N/A
Towards Robust Speech Representation Learning for Thousands of Languages	William Chen, Wangyou Zhang, Yifan Peng, Xinjian Li, Jinchuan Tian, Jiatong Shi, Xuankai Chang, Soumi Maiti, Karen Livescu, Shinji Watanabe	N/A	N/A
I Learn Better If You Speak My Language: Understanding the Superior Performance of Fine-Tuning Large Language Models with LLM-Generated Responses	Xuan Ren, Biao Wu, Lingqiao Liu	N/A	N/A
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment	Jiahuan Li, Shujian Huang, Aarron Ching, Xinyu Dai, Jiajun Chen	N/A	N/A
An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevance	Simran Khanuja, Sathyanarayanan Ramamoorthy, Yueqi Song, Graham Neubig	N/A	N/A
When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models	Ting-Yun Chang, Jesse Thomason, Robin Jia	N/A	N/A
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference	Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo zhang, Yanghui Rao	N/A	N/A
Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions	Jinsung Yoon, Rajarishi Sinha, Sercan O Arik, Tomas Pfister	N/A	N/A
KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction	Jianshang Kou, Benfeng Xu, Chiwei Zhu, Zhendong Mao	N/A	N/A
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation	Zhen Lin, Shubhendu Trivedi, Jimeng Sun	N/A	N/A
$\texttt{MixGR}$: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity	Fengyu Cai, Xinran Zhao, Tong Chen, Sihao Chen, Hongming Zhang, Iryna Gurevych, Heinz Koeppl	N/A	N/A
CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction	Tuan Dung Nguyen, Thanh Trung Huynh, Minh Hieu Phan, Quoc Viet Hung Nguyen, Phi Le Nguyen	N/A	N/A
“In-Dialogues We Learn”: Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning	Chuanqi Cheng, Quan Tu, Wei Wu, Shuo Shang, Cunli Mao, Zhengtao Yu, Rui Yan	N/A	N/A
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective	Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He	N/A	N/A
Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding	Xin Liu, Farima Fatahi Bayat, Lu Wang	N/A	N/A
Reasoning Robustness of LLMs to Adversarial Typographical Errors	Esther Gan, Yiran Zhao, Liying Cheng, Mao Yancan, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh	N/A	N/A
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance	Pengyu Wang, Dong Zhang, Linyang Li, Chenkun Tan, Xinghao Wang, Mozhi Zhang, Ke Ren, Botian Jiang, Xipeng Qiu	N/A	N/A
Belief Revision: The Adaptability of Large Language Models Reasoning	Bryan Wilie, Samuel Cahyawijaya, Etsuko Ishii, Junxian He, Pascale Fung	N/A	N/A
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models	Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou	N/A	N/A
Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints	Minjia Wang, Fangzhou Liu, Xiuxing Li, Bowen Dong, Zhenyu Li, Tengyu Pan, Jianyong Wang	N/A	N/A
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models	Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng	N/A	N/A
LLMs Are Prone to Fallacies in Causal Inference	Nitish Joshi, Abulhair Saparov, Yixin Wang, He He	N/A	N/A
Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles	Ryan Louie, Ananjan Nandi, William Fang, Cheng Chang, Emma Brunskill, Diyi Yang	N/A	N/A
The Lou Dataset - Exploring the Impact of Gender-Fair Language in German Text Classification	Andreas Waldis, Joel Birrer, Anne Lauscher, Iryna Gurevych	N/A	N/A
When Generative Adversarial Networks Meet Sequence Labeling Challenges	Yu Tong, Ge Chen, Guokai Zheng, Rui Li, Jiang Dazhi	N/A	N/A
Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering	Sungho Ko, Hyunjin Cho, Hyungjoo Chae, Jinyoung Yeo, Dongha Lee	N/A	N/A
Speechworthy Instruction-tuned Language Models	Hyundong Justin Cho, Nicolaas Paul Jedema, Leonardo F. R. Ribeiro, Karishma Sharma, Pedro Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May	N/A	N/A
Data, Data Everywhere: A Guide for Pretraining Dataset Construction	Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Liu, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro	N/A	N/A
Fine-Tuning and Prompt Optimization: Two Good Steps that Work Better Together	Dilara Soylu, Christopher Potts, Omar Khattab	N/A	N/A
Demystifying Verbatim Memorization in Large Language Models	Jing Huang, Diyi Yang, Christopher Potts	N/A	N/A
AmbigNLG: Addressing Task Ambiguity in Instruction for NLG	Ayana Niwa, Hayate Iso	N/A	N/A
Distributional Properties of Subword Regularization	Marco Cognetta, Vilém Zouhar, Naoaki Okazaki	N/A	N/A
DataTales: A Benchmark for Real-World Intelligent Data Narration	Yajing Yang, Qian Liu, Min-Yen Kan	N/A	N/A
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters	Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun	N/A	N/A
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization	Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin	N/A	N/A
Breaking the Curse of Multilinguality with Cross-lingual Expert Language Models	Terra Blevins, Tomasz Limisiewicz, Suchin Gururangan, Margaret Li, Hila Gonen, Noah A. Smith, Luke Zettlemoyer	N/A	N/A
More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation	Wencke Liermann, Jin-Xia Huang, Yohan Lee, Kong Joo Lee	N/A	N/A
Stable Language Model Pre-training by Reducing Embedding Variability	Woojin Chung, Jiwoo Hong, Na Min An, James Thorne, Se-Young Yun	N/A	N/A
What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations	Kavya Manohar, Leena G Pillai	N/A	N/A
Diversity Over Size: On the Effect of Sample and Topic Sizes for Topic-Dependent Argument Mining Datasets	Benjamin Schiller, Johannes Daxenberger, Andreas Waldis, Iryna Gurevych	N/A	N/A
Kiss up, Kick down: Exploring Behavioral Changes in Multi-modal Large Language Models with Assigned Visual Personas	Seungjong Sun, Eungu Lee, Seo Yeon Baek, Seunghyun Hwang, Lee wonbyung, Dongyan Nan, Bernard J Jansen, Jang Hyun Kim	N/A	N/A
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator	Junda Zhu, Lingyong Yan, Haibo Shi, Dawei Yin, Lei Sha	N/A	N/A
Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis	Yanjiang Chen, Kai Zhang, hufeng, Xianquan Wang, Ruikang li, Qi Liu	N/A	N/A
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization	Shahed Masoudian, Markus Frohmann, Navid Rekabsaz, Markus Schedl	N/A	N/A
Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA	Pu Jian, Donglei Yu, Jiajun Zhang	N/A	N/A
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights	Hao Yang, Lizhen Qu, Ehsan Shareghi, Reza Haf	N/A	N/A
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations	Milan BHAN, Jean-Noël Vittaut, Nicolas CHESNEAU, Marie-Jeanne Lesot	N/A	N/A
What are the Generator Preferences for End-to-end Task-Oriented Dialog System?	Wanshi Xu, Xianwei Zhuang, Zhanpeng Chen, Zhihong Zhu, Xuxin Cheng, Yuexian Zou	N/A	N/A
Paraphrase Types Elicit Prompt Engineering Capabilities	Jan Philip Wahle, Terry Ruas, Yang Xu, Bela Gipp	N/A	N/A
VLEU: a Method for Automatic Evaluation for Generalizability of Text-to-Image Models	Jingtao Cao, Zhang Zheng, Hongru WANG, Kam-Fai Wong	N/A	N/A
Towards Online Continuous Sign Language Recognition and Translation	Ronglai Zuo, Fangyun Wei, Brian Mak	N/A	N/A
Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment	Yiwei Dai, Hengrui Gu, Ying Wang, Xin Wang	N/A	N/A
Split and Merge: Aligning Position Biases in LLM-based Evaluators	Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu	N/A	N/A
Integrating Argumentation and Hate-Speech-based Techniques for Countering Misinformation	Sougata Saha, Rohini Srihari	N/A	N/A
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM	Wenda Xu, Jiachen Li, William Yang Wang, Lei Li	N/A	N/A
One2Set + Large Language Model: Best Partners for Keyphrase Generation	Liangying Shao, Liang Zhang, Minlong Peng, Guoqi Ma, Hao Yue, Mingming Sun, Jinsong Su	N/A	N/A
Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering	Yifei Yuan, Yang Deng, Anders Søgaard, Mohammad Aliannejadi	N/A	N/A
ORPO: Monolithic Preference Optimization without Reference Model	Jiwoo Hong, Noah Lee, James Thorne	N/A	N/A
A Multi-Perspective Analysis of Memorization in Large Language Models	Bowen Chen, Namgi Han, Yusuke Miyao	N/A	N/A
Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations	Nicolò Penzo, Maryam Sajedinia, Bruno Lepri, Sara Tonelli, Marco Guerini	N/A	N/A
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs	Haritz Puerto, Martin Tutek, Somak Aditya, Xiaodan Zhu, Iryna Gurevych	N/A	N/A
Unveiling the Role of Pretraining in Direct Speech Translation	Belen Alastruey, Gerard I. Gállego, Marta R. Costa-jussà	N/A	N/A
PCQPR: Proactive Conversational Question Planning with Reflection	Shasha Guo	N/A	N/A
CodeAgent: Autonomous Communicative Agents for Code Review	Xunzhu Tang, KISUB KIM, Yewei Song, Cedric Lothritz, Bei Li, Saad Ezzini, Haoye Tian, Jacques Klein, Tegawendé F. Bissyandé	N/A	N/A
TroL: Traversal of Layers for Large Language and Vision Models	Byung-Kwan Lee, Sangyun Chung, Chae Won Kim, Beomchan Park, Yong Man Ro	N/A	N/A
MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language	Shun Wang, Ge Zhang, Han Wu, Tyler Loakman, Wenhao Huang, Chenghua Lin	N/A	N/A
Revisiting Supertagging for faster HPSG parsing	Olga Zamaraeva, Carlos Gómez-Rodríguez	N/A	N/A
Improve Dense Passage Retrieval with Entailment Tuning	Lu Dai, Hao Liu, Hui Xiong	N/A	N/A
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models	Yuxiang Zhang, Jing Chen, Junjie Wang, Yaxin Liu, Cheng Yang, Chufan Shi, Xinyu Zhu, Zihao Lin, Hanwen WAN, Yujiu Yang, Tetsuya Sakai, Tian Feng, Hayato Yamana	N/A	N/A
TEMA: Token Embeddings Mapping for Enriching Low-Resource Language Models	Rodolfo Zevallos, Núria Bel, Mireia Farrús	N/A	N/A
DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting	Xuanming Zhang, Anthony Diaz, Zixun Chen, Qingyang Wu, Kun Qian, Erik Voss, Zhou Yu	N/A	N/A
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback	Fatemeh Pesaran zadeh, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim	N/A	N/A
PrExMe: Large Scale Prompt Exploration of Open Source LLMs for Machine Translation and Summarization Evaluation	Christoph Leiter, Steffen Eger	N/A	N/A
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning	Shuai Zhao, Meihuizi Jia, Anh Tuan Luu, Fengjun Pan, Jinming Wen	N/A	N/A
Repairs in a Block World: A New Benchmark for Handling User Corrections with Multi-Modal Language Models	Javier Chiyah-Garcia, Alessandro Suglia, Arash Eshghi	N/A	N/A
Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models	Xinrong Zhang, Yingfa Chen, Shengding Hu, Xu Han, Zihang Xu, Yuanwei Xu, Weilin Zhao, Maosong Sun, Zhiyuan Liu	N/A	N/A
Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations	Matthias Lindemann, Alexander Koller, Ivan Titov	N/A	N/A
Puzzle Solving using Reasoning of Large Language Models: A Survey	Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, Giorgos Stamou	N/A	N/A
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading	Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Jianfeng Gao, Fabian Peller-Konrad, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues	N/A	N/A
Red Teaming Language Models for Processing Contradictory Dialogues	Xiaofei Wen, Bangzheng Li, Tenghao Huang, Muhao Chen	N/A	N/A
Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models	Sander Land, Max Bartolo	N/A	N/A
Reasoning or a Semblance of it? A Diagnostic Study of Transitive Reasoning in LLMs	Houman Mehrafarin, Arash Eshghi, Ioannis Konstas	N/A	N/A
Don’t Underestimate the Octopus - Why The Symbol Grounding Problem Does Not Apply to LLMs	Reto Gubelmann	N/A	N/A
Major Entity Identification: A Generalizable Alternative to Coreference Resolution	Kawshik Manikantan, Shubham Toshniwal, Makarand Tapaswi, Vineet Gandhi	N/A	N/A
Enhancing High-order Interaction Awareness in LLM-based Recommender Model	Xinfeng Wang, Jin Cui, Fumiyo Fukumoto, Yoshimi Suzuki	N/A	N/A
What Are the Odds? Language Models Are Capable of Probabilistic Reasoning	Akshay Paruchuri, Jake Garrison, shun liao, John B Hernandez, Jacob Sunshine, Tim Althoff, Xin Liu, Daniel McDuff	N/A	N/A
MARE: Multi-Aspect Rationale Extractor on Unsupervised Rationale Extraction	Han Jiang, Junwen Duan, Zhe Qu, Jianxin Wang	N/A	N/A
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models	Hayder Elesedy, Pedro M Esperanca, Silviu Vlad Oprea, Mete Ozay	N/A	N/A
“A good pun is its own reword”: Can Large Language Models Understand Puns?	Zhijun Xu, Siyu Yuan, Lingjie Chen, Deqing Yang	N/A	N/A
QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation	Weiping Fu, Bifan Wei, Jianxiang Hu, Zhongmin Cai, Jun Liu	N/A	N/A
Dependency Graph Parsing as Sequence Labeling	Ana Ezquerro, David Vilares, Carlos Gómez-Rodríguez	N/A	N/A
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data	Sergei Bogdanov, Alexandre Constantin, Timothée Bernard, Benoit Crabbé, Etienne P Bernard	N/A	N/A
Towards a Greek Proverb Atlas: Computational Spatial Exploration and Attribution of Greek Proverbs	John Pavlopoulos, Panos Louridas, Panagiotis Filos	N/A	N/A
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications	Weize Liu, Yinlong Xu, Hongxia Xu, Jintai Chen, Xuming Hu, Jian Wu	N/A	N/A
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss	Bowen Zhang, Chunping Li	N/A	N/A
Rationalizing Transformer Predictions via End-To-End Differentiable Self-Training	Marc Felix Brinner, Sina Zarrieß	N/A	N/A
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation	Markus Frohmann, Igor Sterner, Ivan Vulić, Benjamin Minixhofer, Markus Schedl	N/A	N/A
Applying Contrastive Learning to Code Vulnerability Type Classification	Chen Ji, Su Yang, Hongyu Sun, Yuqing Zhang	N/A	N/A
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts	Ruida WANG, Jipeng Zhang, Yizhen Jia, Rui Pan, Shizhe Diao, Renjie Pi, Tong Zhang	N/A	N/A
Multi-Level Cross-Modal Alignment for Speech Relation Extraction	Liang Zhang, Zhen Yang, Biao Fu, Ziyao Lu, Liangying Shao, Shiyu Liu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jinsong Su	N/A	N/A
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models	Christopher Schröder, Gerhard Heyer	N/A	N/A
PANDA: Persona Attributes Navigation for Detecting and Alleviating Overuse Problem in Large Language Models	Jinsung Kim, Seonmin Koo, Heuiseok Lim	N/A	N/A
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm	Aakanksha, Arash Ahmadian, Beyza Ermis, Seraphina Goldfarb-Tarrant, Julia Kreutzer, Marzieh Fadaee, Sara Hooker	N/A	N/A
Subword Segmentation in LLMs: Looking at Inflection and Consistency	Marion Di Marco, Alexander Fraser	N/A	N/A
Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments	Omar Sharif, Joseph Gatto, MADHUSUDAN BASAK, Sarah Masud Preum	N/A	N/A
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models	Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut	N/A	N/A
Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data	Jean-Flavien Bussotti, Luca Ragazzi, Giacomo Frisoni, Gianluca Moro, Paolo Papotti	N/A	N/A
TL-CL: Task And Language Incremental Continual Learning	Shrey Satapara, P. K. Srijith	N/A	N/A
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?	Daniel P Jeong, Saurabh Garg, Zachary Chase Lipton, Michael Oberst	N/A	N/A
Empowering Multi-step Reasoning across Languages via Program-Aided Language Models	Leonardo Ranaldi, Giulia Pucci	N/A	N/A
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models	Yu Yuan, Lili Zhao, Kai Zhang, Guangting Zheng, Qi Liu	N/A	N/A
ControlMath: Controllable Data Generation Promotes Math Generalist Models	Nuo Chen, Ning Wu, Jianhui Chang, MING GONG, Linjun Shou, Dongmei Zhang, Jia Li	N/A	N/A
Where Am I From? Identifying Origin of LLM-generated Content	Liying LI, Yihan Bai, Minhao Cheng	N/A	N/A
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment	Tarek Naous, Michael J Ryan, Anton Lavrouk, Mohit Chandra, Wei Xu	N/A	N/A
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text	Michael Ginn, Lindia Tjuatja, Taiqi He, Enora Rice, Graham Neubig, Alexis Palmer, Lori Levin	N/A	N/A
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains	Yang Janet Liu, Tatsuya Aoyama, Wesley Scivetti, Yilun Zhu, Shabnam Behzad, Lauren Elizabeth Levine, Jessica Lin, Devika Tiwari, Amir Zeldes	N/A	N/A
RA2FD: Distilling Faithfulness into Efficient Dialogue Systems	Zhiyuan Zhu, Yusheng Liao, Chenxin Xu, Yunfeng Guan, Yanfeng Wang, Yu Wang	N/A	N/A
Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation	Fangrui Lv, Kaixiong Gong, Jian Liang, Xinyu Pang, Changshui Zhang	N/A	N/A
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently	Kanishka Misra, Allyson Ettinger, Kyle Mahowald	N/A	N/A
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking	Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong	N/A	N/A
A Coordinate System for In-Context Learning	Anhao Zhao, Fanghua Ye, Jinlan Fu, Xiaoyu Shen	N/A	N/A
Self-Powered LLM Modality Expansion for Large Speech-Text Models	Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang	N/A	N/A
ABSEval: An Agent-based Framework for Script Evaluation	Sirui Liang, Baoli Zhang, Jun Zhao, Kang Liu	N/A	N/A
Latent Concept-based Explanation of NLP Models	Xuemin Yu, Fahim Dalvi, Nadir Durrani, Marzia Nouri, Hassan Sajjad	N/A	N/A
Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher	Hyunjong Ok, Jegwang Ryu, Jaeho Lee	N/A	N/A
Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research	Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras	N/A	N/A
The Mystery of the Pathological Path-star Task for Language Models	Arvid Frydenlund	N/A	N/A
Voices in a Crowd: Searching for clusters of unique perspectives	Nikolas Vitsakis, Amit Parekh, Ioannis Konstas	N/A	N/A
Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent	Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu	N/A	N/A
SLANG: New Concept Comprehension of Large Language Models	Lingrui Mei, Shenghua Liu, Yiwei Wang, Baolong Bi, Xueqi Cheng	N/A	N/A
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models	Michael Lan, Philip Torr, Fazl Barez	N/A	N/A
Why Does New Knowledge Create Messy Ripple Effects in LLMs?	Jiaxin Qin, Zixuan Zhang, Chi Han, Pengfei Yu, Manling Li, Heng Ji	N/A	N/A
Lifelong Event Detection via Optimal Transport	Viet Dao, Van-Cuong Pham, Quyen Tran, Thanh-Thien Le, Linh Van Ngo, Thien Huu Nguyen	N/A	N/A
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories	Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot	N/A	N/A
FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation	KaShun SHUM, Minrui Xu, Jianshu Zhang, Zixin CHEN, Shizhe Diao, Hanze Dong, Jipeng Zhang, Muhammad Omer Raza	N/A	N/A
Domain adapted machine translation: What does catastrophic forgetting forget and why?	Danielle Saunders, Steve DeNeefe	N/A	N/A
Enhancing AI Assisted Writing with One-Shot Implicit Negative Feedback	Benjamin Towle, Ke Zhou	N/A	N/A
Atomic Self-Consistency for Better Long Form Generations	Raghuveer Thirukovalluru, Yukun Huang, Bhuwan Dhingra	N/A	N/A
“Global is Good, Local is Bad?’’: Understanding Brand Bias in LLMs	Mahammed Kamruzzaman, Hieu Minh Nguyen, Gene Louis Kim	N/A	N/A
Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach	Siqi Li, Danni Liu, Jan Niehues	N/A	N/A
ACE: A LLM-based Negotiation Coaching System	Ryan Shea, Aymen Kallala, Xin Lucy Liu, Michael W. Morris, Zhou Yu	N/A	N/A
TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities	Ming Zhang, Caishuang Huang, Yilong Wu, Shichun Liu, Huiyuan Zheng, Yurui Dong, Yujiong Shen, Shihan Dou, Jun Zhao, Junjie Ye, Qi Zhang, Tao Gui, Xuanjing Huang	N/A	N/A
PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals	Ruiyi Wang, Stephanie Milani, Jamie C. Chiu, Jiayin Zhi, Shaun M. Eack, Travis Labrum, Samuel M Murphy, Nev Jones, Kate V Hardy, Hong Shen, Fei Fang, Zhiyu Chen	N/A	N/A
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction	Xueren Ge, Abhishek Satpathy, Ronald Dean Williams, John Stankovic, Homa Alemzadeh	N/A	N/A
$\texttt{ModSCAN}$: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities	Yukun Jiang, Zheng Li, Xinyue Shen, Yugeng Liu, Michael Backes, Yang Zhang	N/A	N/A
Large Language Models Can Self-Correct with Key Condition Verification	Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang	N/A	N/A
Learning to Write Rationally: How Information Is Distributed in Non-native Speakers’ Essays	Zixin Tang, Janet van Hell	N/A	N/A
Defending Against Social Engineering Attacks in the Age of LLMs	Lin Ai, Tharindu Sandaruwan Kumarage, Amrita Bhattacharjee, Zizhou Liu, Zheng Hui, Michael S. Davinroy, James Cook, Laura Cassani, Kirill Trapeznikov, Matthias Kirchner, Arslan Basharat, Anthony Hoogs, Joshua Garland, huan liu, Julia Hirschberg	N/A	N/A
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models	Yae Jee Cho, Luyang Liu, Zheng Xu, Aldi Fahrezi, Gauri Joshi	N/A	N/A
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training	Yixuan Wang, Xianzhen Luo, Fuxuan Wei, Yijun Liu, Qingfu Zhu, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che	N/A	N/A
Target-Aware Language Modeling via Granular Data Sampling	Ernie Chang, Pin-Jie Lin, Yang Li, Changsheng Zhao, Daeil Kim, Rastislav Rabatin, Zechun Liu, Yangyang Shi, Vikas Chandra	N/A	N/A
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness	Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng	N/A	N/A
Learning from Feedback with Coupled Comprehension and Generation	Mustafa Omer Gul, Yoav Artzi	N/A	N/A
UNICORN: A Unified Causal Video-Oriented Language-Modeling Framework for Temporal Video-Language Tasks	Yuanhao Xiong, Yixin Nie, Haotian Liu, Boxin Wang, Jun Chen, Rong Jin, Cho-Jui Hsieh, Lorenzo Torresani, Jie Lei	N/A	N/A
Story Morals: Surfacing value-driven narrative schemas using large language models	David G Hobson, Haiqi Zhou, Derek Ruths, Andrew Piper	N/A	N/A
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants	Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, Swabha Swayamdipta	N/A	N/A
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies	Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Murari Tiyyala, Nicholas Andrews, Daniel Khashabi	N/A	N/A
SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents	Qi Zhang, Zhijia Chen, Huitong Pan, Cornelia Caragea, Longin Jan Latecki, Eduard Dragut	N/A	N/A
Analysis of Plan-based Retrieval for Grounded Text Generation	Ameya Godbole, Nicholas Monath, Seungyeon Kim, Ankit Singh Rawat, Andrew McCallum, Manzil Zaheer	N/A	N/A
Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors	Alex Chandler, Devesh Surve, Hui Su	N/A	N/A
RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs	John Dang, Arash Ahmadian, Kelly Marchisio, Julia Kreutzer, Ahmet Üstün, Sara Hooker	N/A	N/A
Improving Logical Fallacy Reasoning with Logical Structure Tree	Yuanyuan Lei, Ruihong Huang	N/A	N/A
Chain and Causal Attention for Efficient Entity Tracking	Erwan Fagnou, Paul Caillon, Blaise Delattre, Alexandre Allauzen	N/A	N/A
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models	Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, Ruoxi Jia	N/A	N/A
A Bayesian Approach to Harnessing the Power of LLMs in Authorship Attribution	Zhengmian Hu, Tong Zheng, Heng Huang	N/A	N/A
FAC$^2$E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition	Xiaoqiang Wang, Lingfei Wu, Tengfei Ma, Bang Liu	N/A	N/A
OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation	Tanvir Mahmud, Diana Marculescu	N/A	N/A
Language Concept Erasure for Language-invariant Dense Retrieval	Zhiqi Huang, Puxuan Yu, Shauli Ravfogel, James Allan	N/A	N/A
Learning Personalized Alignment for Evaluating Open-ended Text Generation	Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian	N/A	N/A
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks	Yue Zhou, Henry Peng Zou, Barbara Di Eugenio, Yang Zhang	N/A	N/A
Turn Waste into Worth: Rectifying Top-$k$ Router of MoE	Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu	N/A	N/A
Null-Shot Prompting: Rethinking Prompting Large Language Models With Hallucination	Pittawat Taveekitworachai, Febri Abdullah, Ruck Thawonmas	N/A	N/A
CommVQA: Situating Visual Question Answering in Communicative Contexts	Nandita Shankar Naik, Christopher Potts, Elisa Kreiss	N/A	N/A
Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding	Weilin Zhao, Yuxiang Huang, Xu Han, Wang Xu, Chaojun Xiao, Xinrong Zhang, Yewei Fang, Kaihuo Zhang, Zhiyuan Liu, Maosong Sun	N/A	N/A
1+1>2: Can Large Language Models Serve as Cross-Lingual Knowledge Aggregators?	Yue Huang, Chenrui Fan, Yuan Li, Siyuan Wu, Tianyi Zhou, Xiangliang Zhang, Lichao Sun	N/A	N/A
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective	Teng Xiao, Mingxiao Li, Yige Yuan, Huaisheng Zhu, Chao Cui, Vasant G Honavar	N/A	N/A
Style-Specific Neurons for Steering LLMs in Text Style Transfer	Wen Lai, Viktor Hangya, Alexander Fraser	N/A	N/A
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers	Tianhua Zhang, Kun LI, Hongyin Luo, Xixin Wu, James R. Glass, Helen M. Meng	N/A	N/A
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction	Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han	N/A	N/A
DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models	Yiming Huang, Jianwen Luo, Yan Yu, Yitong Zhang, Fangyu Lei, Yifan Wei, Shizhu He, Lifu Huang, Xiao Liu, Jun Zhao, Kang Liu	N/A	N/A
Leveraging Context-aware Prompting for Commit Message Generation	Zhihua Jiang, Jianwei Chen, Dongning Rao, Guanghui Ye	N/A	N/A
Linguistic Bias in ChatGPT: Language Models Reinforce Dialect Discrimination	Eve Fleisig, Genevieve Smith, Madeline Bossi, Ishita Rustagi, Xavier Yin, Dan Klein	N/A	N/A
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning	Qizhou Chen, Taolin Zhang, Xiaofeng He, Dongyang Li, Chengyu Wang, Longtao Huang, Hui Xue’	N/A	N/A
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models	Zhihao Wang, Shiyu Liu, Jianheng Huang, Wang Zheng, YiXuan Liao, Xiaoxin Chen, Junfeng Yao, Jinsong Su	N/A	N/A
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages	Jimin Sohn, Haeji Jung, Alex Cheng, Jooeon Kang, Yilin Du, David R Mortensen	N/A	N/A
An Analysis and Mitigation of the Reversal Curse	Ang Lv, Kaiyi Zhang, Shufang Xie, Quan Tu, Yuhan Chen, Ji-Rong Wen, Rui Yan	N/A	N/A
Exploring the Practicality of Generative Retrieval on Dynamic Corpora	Soyoung Yoon, Chaeeun Kim, Hyunji Lee, Joel Jang, Sohee Yang, Minjoon Seo	N/A	N/A
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting	Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen	N/A	N/A
Gotcha! Don’t trick me with unanswerable questions! Self-aligning Large Language Models for Proactively Responding to Unknown Questions	Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua	N/A	N/A
Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning	Xijie Huang, Li Lyna Zhang, Kwang-Ting Cheng, Fan Yang, Mao Yang	N/A	N/A
Large Language Models in the Clinic: A Comprehensive Benchmark	Fenglin Liu, Zheng Li, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Hongjian Zhou, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei Clifton, Bing Yin, David A. Clifton	N/A	N/A
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction	Jinchuan Zhang, Yan Zhou, Yaxin Liu, Ziming Li, Songlin Hu	N/A	N/A
Householder Pseudo-Rotation: A Novel Approach to Activation Editing in LLMs with Direction-Magnitude Perspective	Van-Cuong Pham, Thien Huu Nguyen	N/A	N/A
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG	Jinyoung Kim, Dayoon Ko, Gunhee Kim	N/A	N/A
Preserving Generalization of Language models in Few-shot Continual Relation Extraction	Quyen Tran, Nguyen Xuan Thanh, Nguyen Hoang Anh, Nam Le Hai, Trung Le, Linh Van Ngo, Thien Huu Nguyen	N/A	N/A
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations	Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, Mizanur Rahman, Mohammad Abdullah Matin Khan, Haidar Khan, Israt Jahan, Amran Bhuiyan, Chee Wei Tan, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty, Jimmy Huang	N/A	N/A
Consecutive Batch Model Editing with HooK Layers	Shuaiyi Li, Yang Deng, Deng Cai, Hongyuan Lu, Liang CHEN, Wai Lam	N/A	N/A
Topic-Oriented Open Relation Extraction with A Priori Seed Generation	Linyi Ding, Jinfeng Xiao, Sizhe Zhou, Chaoqi Yang, Jiawei Han	N/A	N/A
Related Work and Citation Text Generation: A Survey	Xiangci Li, Jessica Ouyang	N/A	N/A
Curriculum Consistency Learning for Conditional Sentence Generation	Liangxin Liu, Xuebo Liu, Lian Lian, shengjun cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang	N/A	N/A
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences	Leonardo Bertolazzi, Albert Gatt, Raffaella Bernardi	N/A	N/A
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic Supervision	Fan Jiang, Tom Drummond, Trevor Cohn	N/A	N/A
Towards an Open-Source Speech Foundation Model for EU: 950,000 Hours of Open-Source Compliant Speech Data for EU Languages	Marco Gaido, Sara Papi, Luisa Bentivogli, Alessio Brutti, Mauro Cettolo, Roberto Gretter, Marco Matassoni, Mohamed Nabih, Matteo Negri	N/A	N/A
Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning	Jiashi Lin, Lifang Wang, Xinyu Lu, Zhongtian Hu, Wei Zhang, Wenxuan Lu	N/A	N/A
Contribution of Linguistic Typology to Universal Dependency Parsing: An Empirical Investigation	Ali Basirat, Navid Baradaran Hemmati	N/A	N/A
TRoTR: A Framework for Evaluating the Re-contextualization of Text Reuse	Francesco Periti, Pierluigi Cassotti, Stefano Montanelli, Nina Tahmasebi, Dominik Schlechtweg	N/A	N/A
Structured Optimal Brain Pruning for Large Language Models	Jiateng Wei, Quan Lu, ning jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu	N/A	N/A
Automatically Generated Definitions and their utility for Modeling Word Meaning	Francesco Periti, David Alfter, Nina Tahmasebi	N/A	N/A
How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data	Yejie Wang, Keqing He, Dayuan Fu, Zhuoma GongQue, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu	N/A	N/A
MINT: A Benchmark for Evaluating Instructed Information Retrieval	Weiwei Sun, Zhengliang Shi, Wu Jiu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren	N/A	N/A
Rethinking the Evaluation of In-Context Learning for LLMs	Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao	N/A	N/A
Cluster-Norm for Unsupervised Probing of Knowledge	Walter Laurito, Sharan Maiya, Grégoire DHIMOÏLA, Owen Ho Wan Yeung, Kaarel Hänni	N/A	N/A
Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop Queries	Eden Biran, Daniela Gottesman, Sohee Yang, Mor Geva, Amir Globerson	N/A	N/A
Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration	Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng	N/A	N/A
Where am I? Large Language Models Wandering between Semantics and Structures in Long Contexts	Seonmin Koo, Jinsung Kim, YoungJoon Jang, Chanjun Park, Heuiseok Lim	N/A	N/A
KARL: Knowledge-Aware Retrieval and Representations aid Retention and Learning in Students	Matthew Shu, Nishant Balepur, Shi Feng, Jordan Lee Boyd-Graber	N/A	N/A
Large Language Models Can Be Contextual Privacy Protection Learners	Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng	N/A	N/A
A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick	Nishant Balepur, Matthew Shu, Alexander Hoyle, Alison Robey, Shi Feng, Seraphina Goldfarb-Tarrant, Jordan Lee Boyd-Graber	N/A	N/A
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models	Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf	N/A	N/A
MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction	Jun-Hyung Park, Yeachan Kim, Mingyu Lee, Hyuntae Park, SangKeun Lee	N/A	N/A
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning	Yoichi Aoki, Keito Kudo, Tatsuki Kuribayashi, Shusaku Sone, Masaya Taniguchi, Keisuke Sakaguchi, Kentaro Inui	N/A	N/A
Tools Fail: Detecting Silent Errors in Faulty Tools	Jimin Sun, So Yeon Min, Yingshan Chang, Yonatan Bisk	N/A	N/A
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity	Bowen Zhang, Chunping Li	N/A	N/A
Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing	Deokhyung Kang, Seonjeong Hwang, Yunsu Kim, Gary Lee	N/A	N/A
Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language Modeling	Georgios Pantazopoulos, Malvina Nikandrou, Alessandro Suglia, Oliver Lemon, Arash Eshghi	N/A	N/A
Are LLMs Good Zero-Shot Fallacy Classifiers?	Fengjun Pan, Xiaobao Wu, Zongrui Li, Anh Tuan Luu	N/A	N/A
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis	Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He	N/A	N/A
More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages	Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi	N/A	N/A
Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification	Ming Li, Jike Zhong, Chenxin Li, Liuzhuozheng Li, Nie Lin, Masashi Sugiyama	N/A	N/A
ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos	Arpan Phukan, Manish Gupta, Asif Ekbal	N/A	N/A
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation	Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang, Munazza Zaib, Ahoud Alhazmi	N/A	N/A
Evaluating $n$-Gram Novelty of Language Models Using Rusty-DAWG	William Merrill, Noah A. Smith, Yanai Elazar	N/A	N/A
ASL STEMpedia: Dataset and Benchmark for Interpreting STEM Articles	Kayo Yin, Chinmay Singh, Fyodor O Minakov, Vanessa Milan, Hal Daumé III, Cyril Zhang, Alex Xijie Lu, Danielle Bragg	N/A	N/A
Can Automatic Metrics Assess High-Quality Translations?	Sweta Agrawal, António Farinhas, Ricardo Rei, Andre Martins	N/A	N/A
Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation	Sweta Agrawal, José G. C. de Souza, Ricardo Rei, António Farinhas, Gonçalo Faria, Patrick Fernandes, Nuno M Guerreiro, Andre Martins	N/A	N/A
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding	Bowen Xing, Lizi Liao, Minlie Huang, Ivor Tsang	N/A	N/A
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models	Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren	N/A	N/A
SecCoder: Towards Generalizable and Robust Secure Code Generation	Boyu Zhang, Tianyu Du, Junkai Tong, Xuhong Zhang, Kingsum Chow, Sheng Cheng, Xun Wang, Jianwei Yin	N/A	N/A
Nash CoT: Multi-Path Inference with Preference Equilibrium	Ziqi Zhang, Cunxiang Wang, Xiao Xiong, Yue Zhang, Donglin Wang	N/A	N/A
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention	Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou	N/A	N/A
Small Agent Can Also Rock! Empowering Small Language Models as Hallucination Detector	Xiaoxue Cheng, Junyi Li, Xin Zhao, Hongzhi Zhang, Fuzheng Zhang, Di ZHANG, Kun Gai, Ji-Rong Wen	N/A	N/A
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding	Wei Li, Zhen Huang, Xinmei Tian, Le Lu, Houqiang Li, Xu Shen, Jieping Ye	N/A	N/A
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History	Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark Gales, Mario Fritz	N/A	N/A
Social Bias Probing: Fairness Benchmarking for Language Models	Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein	N/A	N/A
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models	Wenhao Yu, Hongming Zhang, Xiaoman Pan, peixin cao, Kaixin Ma, Jian Li, Hongwei Wang, Dong Yu	N/A	N/A
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models	Jiabao Pan, Yan Zhang, Chen Zhang, Zuozhu Liu, Hongwei Wang, Haizhou Li	N/A	N/A
Revisiting Automated Evaluation for Long-form Table Question Answering in the Era of Large Language Models	Yuqi Wang, Lyuhao Chen, Yilun Zhao	N/A	N/A
Weak Reward Model Transforms Generative Models into Robust Causal Event Extraction Systems	Italo Luis da Silva, Hanqi Yan, Lin Gui, Yulan He	N/A	N/A
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning	Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang	N/A	N/A
FinDVer: Explainable Claim Verification over Long and Hybrid-content Financial Documents	Yilun Zhao, Yitao Long, Tintin Jiang, Weiyuan Chen, Chengye Wang, Hongjun Liu, Xiangru Tang, Yiming Zhang, Chen Zhao, Arman Cohan	N/A	N/A
Extracting Prompts by Inverting LLM Outputs	Collin Zhang, John Xavier Morris, Vitaly Shmatikov	N/A	N/A
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs	Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu	N/A	N/A
VHASR: A Multimodal Speech Recognition System With Vision Hotwords	Jiliang Hu, Zuchao Li, Ping Wang, Haojun Ai, Lefei Zhang, hai zhao	N/A	N/A
A Fundamental Trade-off in Aligned Language Models and its Relation to Sampling Adaptors	Naaman Tan, Josef Valvoda, Tianyu Liu, Anej Svete, Yanxia Qin, Min-Yen Kan, Ryan Cotterell	N/A	N/A
Bridging Local Details and Global Context in Text-Attributed Graphs	Yaoke Wang, Yun Zhu, Wenqiao Zhang, Yueting Zhuang, liyunfei, Siliang Tang	N/A	N/A
Building Resources for Emakhuwa: Machine Translation and News Classification Benchmarks	Felermino D. M. A. Ali, Henrique Lopes Cardoso, Rui Sousa-Silva	N/A	N/A
RepMatch: Quantifying Cross-Instance Similarities in Representation Space	Mohammad Reza Modarres, Sina Abbasi, Mohammad Taher Pilehvar	N/A	N/A
Commonsense Knowledge Editing Based on Free-Text in LLMs	Xiusheng Huang, Yequan Wang, Jun Zhao, Kang Liu	N/A	N/A
A Closer Look at Multidimensional Online Political Incivility	Sagi Pendzel, Nir Lotan, Alon Zoizner, Einat Minkov	N/A	N/A
Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training	Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu	N/A	N/A
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation	Bar Iluz, Yanai Elazar, Asaf Yehudai, Gabriel Stanovsky	N/A	N/A
Unsupervised Named Entity Disambiguation for Low Resource Domains	Debarghya Datta, Soumajit Pramanik	N/A	N/A
SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers	Viktoriia A. Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan Oseledets	N/A	N/A
MoCoKGC: Momentum Contrast Entity Encoding for Knowledge Graph Completion	Qingyang Li, Yanru Zhong, Yuchu Qin	N/A	N/A
ActPlan-1K: Benchmarking the Procedural Planning Ability of Visual Language Models in Household Activities	Ying Su, Zhan Ling, Haochen Shi, Cheng Jiayang, Yauwai Yim, Yangqiu Song	N/A	N/A
Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning	Xiaopeng Xie, Ming YAN, Xiwen Zhou, Chenlong Zhao, Suli Wang, Yong Zhang, Joey Tianyi Zhou	N/A	N/A
GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients	Aashiq Muhamed, Oscar Li, David Woodruff, Mona T. Diab, Virginia Smith	N/A	N/A
RaTEScore: A Metric for Entity-Aware Radiology Text Similarity	Weike Zhao, Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Weidi Xie	N/A	N/A
HalluMeasure: Fine-grained Hallucination Measurement Using Chain-of-Thought Reasoning	Shayan Ali Akbar, Md Mosharaf Hossain, Tess Wood, Si-Chi Chin, Victor Alvarez, Erica M Salinas, Erwin Cornejo	N/A	N/A
Learning to Rank Salient Content for Query-focused Summarization	Sajad Sotudeh, Nazli Goharian	N/A	N/A
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions	Qian Ruan, Ilia Kuznetsov, Iryna Gurevych	N/A	N/A
LitSearch: A Retrieval Benchmark for Scientific Literature Search	Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, Tanya Goyal, Danqi Chen, Tianyu Gao	N/A	N/A
Open-world Multi-label Text Classification with Extremely Weak Supervision	Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang	N/A	N/A
LMs learn governing principles of dynamical systems, revealing an in-context neural scaling law	Toni J.B. Liu, Nicolas Boulle, Raphaël Sarfati, Christopher Earls	N/A	N/A
AKEW: Assessing Knowledge Editing in the Wild	Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu	N/A	N/A
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation	Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh	N/A	N/A
Dense X Retrieval: What Retrieval Granularity Should We Use?	Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, Dong Yu	N/A	N/A
Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach	Yanchen Liu, Mingyu Derek Ma, Wenna Qin, Azure Zhou, Jiaao Chen, Weiyan Shi, Wei Wang, Diyi Yang	N/A	N/A
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models	Zheng Zhao, Yftah Ziser, Shay B Cohen	N/A	N/A
XDetox: Text Detoxification with Token-Level Toxicity Explanations	Beomseok Lee, Hyunwoo Kim, Keon Kim, Yong Suk Choi	N/A	N/A
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach	ZiHao Xiao, Jiefu Gong, Shijin Wang, Wei Song	N/A	N/A
Evaluating LLMs’ Capability in Satisfying Lexical Constraints	Bingxuan Li, Yiwei Wang, Tao Meng, Nanyun Peng, Kai-Wei Chang	N/A	N/A
Joint Pre-Encoding Representation and Structure Embedding for Efficient and Low-Resource Knowledge Graph Completion	Chenyu Qiu, Pengjiang Qian, Chuang Wang, Jian Yao, Li Liu, Fang wei, Eddie Y.K. Eddie	N/A	N/A
Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning	Lu Chen, Rui Zheng, Binghai Wang, Senjie Jin, Caishuang Huang, Junjie Ye, Zhihao Zhang, Yuhao Zhou, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts	Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng	N/A	N/A
Exploring the Role of Reasoning Structures for Constructing Proofs in Multi-Step Natural Language Reasoning with Large Language Models	Zi’ou Zheng, Christopher Malon, Martin Renqiang Min, Xiaodan Zhu	N/A	N/A
Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning	Panuthep Tasawong, Peerat Limkonchotiwat, Potsawee Manakul, Can Udomcharoenchaikit, Ekapol Chuangsuwanich, Sarana Nutanong	N/A	N/A
MetaBench: Planning of Multiple APIs from Various APPs for Complex User Instruction	Hongru WANG, Rui Wang, Boyang XUE, Heming Xia, Jingtao Cao, Zeming Liu, Jeff Z. Pan, Kam-Fai Wong	N/A	N/A
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment	Zhipeng Chen, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen	N/A	N/A
AudioVSR: Enhancing Video Speech Recognition with Audio Data	Xiaoda Yang, Xize Cheng, Jiaqi Duan, Hongshun Qiu, Minjie Hong, Minghui Fang, Shengpeng Ji, Jialong Zuo, Zhiqing Hong, Zhimeng Zhang, Tao Jin	N/A	N/A
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?	Siddhant Waghjale, Vishruth Veerendranath, Zhiruo Wang, Daniel Fried	N/A	N/A
Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level	Zhaopeng Feng, Ruizhe Chen, Yan Zhang, Zijie Meng, Zuozhu Liu	N/A	N/A
Re-ReST: Reflection-Reinforced Self-Training for Language Agents	Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng	N/A	N/A
Effective Synthetic Data and Test-Time Adaptation for OCR Correction	Shuhao Guan, Cheng Xu, Moule Lin, Derek Greene	N/A	N/A
SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework	Fu Zhang, Qi Miao, Jingwei Cheng, Hongsen Yu, Yi Yan, Xin Li, YongxueWu	N/A	N/A
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension	Junzhuo Liu, Xuzheng Yang, WEIWEI LI, Peng Wang	N/A	N/A
Exploring the Learning Capabilities of Language Models using LEVERWORLDS	Eitan Wagner, Amir Feder, Omri Abend	N/A	N/A
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models	Eitan Wagner, Yuli Slavutsky, Omri Abend	N/A	N/A
DocEditAgent: Document Structure Editing Via Multimodal LLM Grounding	Manan Suri, Puneet Mathur, Franck Dernoncourt, Rajiv Jain, Vlad I Morariu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha	N/A	N/A
DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging	Tzu-Han Lin, Chen-An Li, Hung-yi Lee, Yun-Nung Chen	N/A	N/A
Understanding Slang with LLMs: Modelling Cross-Cultural Nuances through Paraphrasing	Ifeoluwa Wuraola, Nina Dethlefs, Daniel Marciniak	N/A	N/A
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding	Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou	N/A	N/A
Re-Reading Improves Reasoning in Large Language Models	Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-Guang Lou, Shuai Ma	N/A	N/A
Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis	Qingcheng Zeng, Mingyu Jin, Rob Voigt	N/A	N/A
ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments	Sourjyadip Ray, Kushal Gupta, Soumi Kundu, Dr Payal Arvind Kasat, Somak Aditya, Pawan Goyal	N/A	N/A
Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations	Jiyi Li	N/A	N/A
Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation	Chengwei Dai, Kun Li, Wei Zhou, Songlin Hu	N/A	N/A
Revisiting Supervised Contrastive Learning for Microblog Classification	Junbo Huang, Ricardo Usbeck	N/A	N/A
BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting	Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang	N/A	N/A
Images Speak Louder than Words: Understanding and Mitigating Bias in Vision-Language Model from a Causal Mediation Perspective	Zhaotian Weng, Zijun Gao, Jerone Andrews, Jieyu Zhao	N/A	N/A
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing	Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei	N/A	N/A
SciAgent: Tool-augmented Language Models for Scientific Reasoning	Yubo Ma, Zhibin Gou, Junheng Hao, Ruochen Xu, Shuohang Wang, Liangming Pan, Yujiu Yang, Yixin Cao, Aixin Sun	N/A	N/A
Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents	Dong Won Lee, Hae Won Park, Yoon Kim, Cynthia Breazeal, Louis-Philippe Morency	N/A	N/A
Towards Measuring and Modeling “Culture” in LLMs: A Survey	Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania, Siddhant Shivdutt Singh, Alham Fikri Aji, Jacki O’Neill, Ashutosh Modi, Monojit Choudhury	N/A	N/A
ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models	Haiquan Zhao, Lingyu Li, Shisong Chen, Shuqi Kong, Jiaan Wang, Kexin Huang, Tianle Gu, Yixu Wang, Jian Wang, Liang Dandan, Zhixu Li, Yan Teng, Yanghua Xiao, Yingchun Wang	N/A	N/A
Cultural Conditioning or Placebo? On the Effectiveness of Socio-Demographic Prompting	Sagnik Mukherjee, Muhammad Farid Adilazuarda, Sunayana Sitaram, Kalika Bali, Alham Fikri Aji, Monojit Choudhury	N/A	N/A
Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features	Xiao Yu, Kejiang Chen, Qi Yang, Weiming Zhang, Nenghai Yu	N/A	N/A
Hate Personified: Investigating the role of LLMs in content moderation pipeline for hate speech	Sarah Masud, Sahajpreet Singh, Viktor Hangya, Alexander Fraser, Tanmoy Chakraborty	N/A	N/A
Temporally Consistent Factuality Probing for Large Language Models	Ashutosh Bajpai, Aaryan Goyal, Atif Anwer, Tanmoy Chakraborty	N/A	N/A
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives	Zihao Li, Shaoxiong Ji, Timothee Mickus, Vincent Segonne, Jörg Tiedemann	N/A	N/A
Can LLMs replace Neil deGrasse Tyson? Evaluating the Reliability of LLMs as Science Communicators	Prasoon Bajpai, Niladri Chatterjee, Subhabrata Dutta, Tanmoy Chakraborty	N/A	N/A
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training	Tong Zhu, Xiaoye Qu, Daize Dong, Jiacheng Ruan, Jingqi Tong, Conghui He, Yu Cheng	N/A	N/A
Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability	Xinyu Hu, Li Lin, Mingqi Gao, Xunjian Yin, Xiaojun Wan	N/A	N/A
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging	Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, hanyu Zhao, Siqi Fan, Zheng Zhang	N/A	N/A
Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning	Sam Spilsbury, Pekka Marttinen, Alexander Ilin	N/A	N/A
FAME: Factual Multi-task Model Editing Benchmark	Li Zeng, Yingyu Shan, Zeming Liu, Jiashu Yao, Yuhang Guo	N/A	N/A
MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance	Renjie Pi, Tianyang Han, Jianshu Zhang, Yueqi XIE, Rui Pan, Qing LIAN, Hanze Dong, Jipeng Zhang, Tong Zhang	N/A	N/A
Leveraging Large Language Models for NLG Evaluation: Advances and Challenges	Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Yuxuan Lai, Chongyang Tao, Shuai Ma	N/A	N/A
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs	Minsoo Kim, Kyuhong Shim, Jungwook Choi, Simyung Chang	N/A	N/A
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models	Jiapeng Wang, Chengyu Wang, Kunzhe Huang, Jun Huang, Lianwen Jin	N/A	N/A
CorrSynth - A Correlated Sampling Method for Diverse dataset Generation from LLMs	Abhishek Divekar, Suhas S Kowshik, Vijit Malik	N/A	N/A
Defining Knowledge: Bridging Epistemology and Large Language Models	Constanza Fierro, Ruchira Dhar, Filippos Stamatiou, Nicolas Garneau, Anders Søgaard	N/A	N/A
TKGT: Redefinition and A New Way of Text-to-Table Tasks Based on Real World Demands and Knowledge Graphs Augmented LLMs	Peiwen Jiang, Zibo Zhao, Xinbo Lin, Ruhui Ma, Yvonne Jie Chen, Jinhua Cheng	N/A	N/A
Free your mouse! Command Large Language Models to Generate Code to Format Word Documents	Shihao Rao, Liang Li, Jiapeng Liu, Guan Weixin, Xiyan Gao, bing lim	N/A	N/A
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models	Jiawei Gu, Zacc Yang, Chuanghao Ding, Rui Zhao, Fei Tan	N/A	N/A
The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs	Tianyang Han, Qing LIAN, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang	N/A	N/A
Rationale-Aware Answer Verification by Pairwise Self-Evaluation	Akira Kawabata, Saku Sugawara	N/A	N/A
On the Robustness of Editing Large Language Models	Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, hai zhao, lifeng Liu, Yulong Wang	N/A	N/A
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method	MiHyeon Kim, Juhyoung Park, YoungBin Kim	N/A	N/A
Distract Large Language Models for Automatic Jailbreak Attack	Zeguan Xiao, Yan Yang, Guanhua Chen, Yun Chen	N/A	N/A
Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification	He-Zhe Lin, Cheng-Hung Liu, Chih-Jen Lin	N/A	N/A
WorryWords: Norms of Anxiety Association for 44,450 English Words	Saif M. Mohammad	N/A	N/A
Finding Blind Spots in Evaluator LLMs with Interpretable Checklists	Sumanth Doddapaneni, Mohammed Safi Ur Rahman Khan, Sshubam Verma, Mitesh M Khapra	N/A	N/A
LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration	Jun Zhao, Can Zu, Xu Hao, Yi Lu, Wei He, Yiwen Ding, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments	Till Raphael Saenger, Musashi Hinck, Justin Grimmer, Brandon M. Stewart	N/A	N/A
Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs	Simone Conia, Daniel Lee, Min Li, Umar Farooq Minhas, Saloni Potdar, Yunyao Li	N/A	N/A
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems	Jun Zhao, Jingqi Tong, Yurong Mou, Ming Zhang, Qi Zhang, Xuanjing Huang	N/A	N/A
Scaling Laws for Linear Complexity Language Models	Xuyang Shen, Dong Li, Ruitao Leng, Zhen Qin, Weigao Sun, Yiran Zhong	N/A	N/A
Autoregressive Multi-trait Essay Scoring via Reinforcement Learning with Scoring-aware Multiple Rewards	Heejin Do, Sangwon Ryu, Gary Lee	N/A	N/A
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis	Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Johnson	N/A	N/A
ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models	Fu Zhang, Yifan Ding, Jingwei Cheng	N/A	N/A
LM2: A Simple Society of Language Models Solves Complex Reasoning	Gurusha Juneja, Subhabrata Dutta, Tanmoy Chakraborty	N/A	N/A
Towards a Semantically-aware Surprisal Theory	Clara Meister, Mario Giulianelli, Tiago Pimentel	N/A	N/A
Multi-Level Information Retrieval Augmented Generation for Knowledge-based Visual Question Answering	Adjali Omar, Olivier Ferret, Sahar Ghannay, Hervé Le Borgne	N/A	N/A
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?	Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu	N/A	N/A
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP	Omer Goldman, Alon Jacovi, Aviv Slobodkin, Aviya Maimon, Ido Dagan, Reut Tsarfaty	N/A	N/A
BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training	Pavel Chizhov, Catherine Arnett, Elizaveta Korotkova, Ivan P. Yamshchikov	N/A	N/A
SEGMENT+: Long Text Processing with Short-Context Language Models	Wei Shi, Shuang Li, Kerun Yu, Jinglei Chen, Zujie Liang, Xinhui Wu, Yuxi Qian, Feng Wei, Bo Zheng, Jiaqing Liang, Jiangjie Chen, Yanghua Xiao	N/A	N/A
Explicit Memory Learning with Expectation Maximization	Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang	N/A	N/A
Learning to Generate Writing Feedback via Language Model Simulated Student Revisions	Inderjeet Jayakumar Nair, Jiaye Tan, Xiaotian Su, Anne Gere, Xu Wang, Lu Wang	N/A	N/A
Small LLMs Are Weak Tool Learners: A Multi-LLM Agent	Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang	N/A	N/A
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions	Clement Neo, Shay B Cohen, Fazl Barez	N/A	N/A
Still Not Quite There! Assessing Large Language Models for Comorbid Mental Health Diagnosis	Amey Hengle, Atharva Kulkarni, Shantanu Deepak Patankar, Rashmi Gupta	N/A	N/A
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning	Shaobo Cui, Zhijing Jin, Bernhard Schölkopf, Boi Faltings	N/A	N/A
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups	Răzvan-Alexandru Smădu, David-Gabriel ION, Dumitru-Clementin Cercel, Florin Pop, Mihaela-Claudia Cercel	N/A	N/A
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue	Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng	N/A	N/A
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!	Divya Patel, Pathik Patel, Ankush Chander, Sourish Dasgupta, Tanmoy Chakraborty	N/A	N/A
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations	Vishal Vivek Saley, Goonjan Saha, Rocktim Jyoti Das, Dinesh Raghu, Mausam .	N/A	N/A
**YesBut	Abhilash Nandy, Yash Agarwal, Ashish Patwa, Millon Madhur Das, Aman Bansal, ANKIT RAJ, Pawan Goyal, Niloy Ganguly	N/A	N/A
Scaling Cognitive Limits: Identifying Working Memory Limits in LLMs	Chunhui Zhang, Yiren Jian, Zhongyu Ouyang, Soroush Vosoughi	N/A	N/A
RAFT: Realistic Attacks to Fool Text Detectors	James Liyuan Wang, Ran Li, Junfeng Yang, Chengzhi Mao	N/A	N/A
LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks	Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro	N/A	N/A
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping	AJAY KUMAR JAISWAL, Bodun Hu, Lu Yin, Yeonju Ro, Tianlong Chen, Shiwei Liu, Aditya Akella	N/A	N/A
LLM-based Code-Switched Text Generation for Grammatical Error Correction	Tom Potter, Zheng Yuan	N/A	N/A
Deciphering the Interplay of Parametric and Non-Parametric Memory in RAG Models	Mehrdad Farahani, Richard Johansson	N/A	N/A
On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning	Geewook Kim, Minjoon Seo	N/A	N/A
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities	Zihao He, Rebecca Dorn, Minh Duc Chu, Siyi Guo, Kristina Lerman	N/A	N/A
Mathador-LM: A Dynamic Benchmark for Mathematical Reasoning on Large Language Models	Eldar Kurtic, Amir Moeini, Dan Alistarh	N/A	N/A
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models	Yuan-Hong Liao, Rafid Mahmood, Sanja Fidler, David Acuna	N/A	N/A
One Thousand and One Pairs: A “novel” challenge for long-context language models	Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, Mohit Iyyer	N/A	N/A
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation	Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung	N/A	N/A
Do LLMs learn a true syntactic universal?	John T. Hale, Miloš Stanojević	N/A	N/A
GDPO: Learning to Align Language Models with Diversity Using GFlowNets	Oh Joon Kwon, Daiki E. Matsunaga, Kee-Eung Kim	N/A	N/A
How Susceptible are Large Language Models to Ideological Manipulation?	Kai Chen, Zihao He, Jun Yan, Taiwei Shi, Kristina Lerman	N/A	N/A
Measuring Psychological Depth in Language Models	Fabrice Y Harel-Canada, Hanyu Zhou, Sreya Muppalla, Zeynep Senahan Yildiz, Miryung Kim, Nanyun Peng, Amit Sahai	N/A	N/A
Media Attitude Detection via Framing Analysis with Events and their Relations	Jin Zhao, Jingxuan Tu, Han Du, Nianwen Xue	N/A	N/A
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data	Yang Ba, Michelle V Mancenido, Rong Pan	N/A	N/A
Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations	Sagi Shaier, Ari Kobren, Philip V. Ogren	N/A	N/A
Granular Privacy Control for Geolocation with Vision Language Models	Ethan Mendes, Yang Chen, James Hays, Sauvik Das, Wei Xu, Alan Ritter	N/A	N/A
MedReadMe: A Systematic Study for Fine-grained Sentence Readability in Medical Domain	Chao Jiang, Wei Xu	N/A	N/A
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification	Siddhant Bikram Shah, Shuvam Shiwakoti, Maheep Chaudhary, Haohan Wang	N/A	N/A
FlipGuard: Defending Preference Alignment against Update Regression with Constrained Optimization	Mingye Zhu, Yi Liu, Quan Wang, Junbo Guo, Zhendong Mao	N/A	N/A
StorySpark: Expert-Annotated QA Pairs with Real-World Knowledge for Children Storytelling	Jiaju Chen, Yuxuan Lu, Shao Zhang, Bingsheng Yao, Yuanzhe Dong, Ying Xu, Yunyao Li, Qianwen Wang, Dakuo Wang, Yuling Sun	N/A	N/A
MedCoT: Medical Chain of Thought via Hierarchical Expert	Jiaxiang Liu, Yuan Wang, Jiawei Du, Joey Tianyi Zhou, Zuozhu Liu	N/A	N/A
Varying Sentence Representations via Condition-Specified Routers	Ziyong Lin, Quansen Wang, Zixia Jia, Zilong Zheng	N/A	N/A
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues	Jiao Ou, jiayu wu, Che Liu, Fuzheng Zhang, Di ZHANG, Kun Gai	N/A	N/A
Information Flow Routes: Automatically Interpreting Language Models at Scale	Javier Ferrando, Elena Voita	N/A	N/A
A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models	Houquan Zhou, Zhenghua Li, Bo Zhang, Chen Li, Shaopeng Lai, Ji Zhang, Fei Huang, Min Zhang	N/A	N/A
Low-rank Subspace for Binding in Large Language Models	Qin Dai, Benjamin Heinzerling, Kentaro Inui	N/A	N/A
CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference	Erxin Yu, Jing Li, Ming Liao, Siqi Wang, GAO Zuchen, Fei Mi, Lanqing HONG	N/A	N/A
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures	Tobias Schimanski, Jingwei Ni, Roberto Spacey Martín, Nicola Ranger, Markus Leippold	N/A	N/A
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs	LIU Ran, Zhongzhou Liu, Xiaoli Li, Yuan Fang	N/A	N/A
Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness	Shixuan Ma, Quan Wang	N/A	N/A
Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection	Zhanpeng Chen, Zhihong Zhu, Xianwei Zhuang, Zhiqi Huang, Yuexian Zou	N/A	N/A
From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking	Siyuan Wang, Zhuohan Long, Zhihao Fan, zhongyu wei	N/A	N/A
Symbolic Working Memory Enhances Language Models for Complex Rule Application	Siyuan Wang, zhongyu wei, Yejin Choi, Xiang Ren	N/A	N/A
LLoCO: Learning Long Contexts Offline	Sijun Tan, Xiuyu Li, Shishir G Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph E. Gonzalez, Raluca Popa	N/A	N/A
Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration	Xin Mao, Feng-Lin Li, Huimin Xu, Wei Zhang, WANG CHEN, Anh Tuan Luu	N/A	N/A
Mentor-KD: Making Small Language Models Better Multi-step Reasoners	Hojae Lee, Junho Kim, SangKeun Lee	N/A	N/A
Are Large Language Models Capable of Generating Human-Level Narratives?	Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng	N/A	N/A
MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs	Yerin Hwang, Yongil Kim, Yunah Jang, Jeesoo Bang, Hyunkyung Bae, Kyomin Jung	N/A	N/A
Can Large Language Models Enhance Predictions of Disease Progression? Investigating Through Disease Network Link Prediction	Haohui Lu, Usman Naseem	N/A	N/A
Searching for Best Practices in Retrieval-Augmented Generation	Xiaohua Wang, Zhenghua Wang, Xuan Gao, Feiran Zhang, Yixin Wu, Zhibo Xu, Tianyuan Shi, Zhengyuan Wang, Shizheng Li, Qi Qian, Ruicheng Yin, Changze Lv, Xiaoqing Zheng, Xuanjing Huang	N/A	N/A
Moral Foundations of Large Language Models	Marwa Abdulhai, Gregory Serapio-García, Clement CREPY, Daria Valter, John Canny, Natasha Jaques	N/A	N/A
The Zeno’s Paradox of ‘Low-Resource’ Languages	Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Benjamin Rosman, Thamar Solorio, Monojit Choudhury	N/A	N/A
Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization	Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md Shad Akhtar	N/A	N/A
Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition	Pritika Ramu, Koustava Goswami, Apoorv Saxena, Balaji Vasan Srinivasan	N/A	N/A
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment	Yusuke Hirota, Ryo Hachiuma, Chao-Han Huck Yang, Yuta Nakashima	N/A	N/A
Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging	Deyuan Liu, Zhanyue Qin, Hairu Wang, Zhao Yang, Zecheng Wang, Fangying Rong, Qingbin Liu, Yanchao Hao, Bo Li, Xi Chen, Cunhang Fan, Zhao Lv, Dianhui Chu, Zhiying Tu, Dianbo Sui	N/A	N/A
Embedded Named Entity Recognition using Probing Classifiers	Nicholas Popovic, Michael Färber	N/A	N/A
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training	Zhou Zhang, Dongzeng Tan, Jiaan Wang, Yilong Chen, Jiarong Xu	N/A	N/A
Data Contamination Can Cross Language Barriers	Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang	N/A	N/A
Automated Essay Scoring: A Reflection on the State of the Art	Shengjie Li, Vincent Ng	N/A	N/A
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate	Tian Liang, Zhiwei He, Wenxiang Jiao, Xing Wang, Yan Wang, Rui Wang, Yujiu Yang, Shuming Shi, Zhaopeng Tu	N/A	N/A
Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs	Xin Zhou, Ping Nie, Yiwen Guo, Haojie Wei, Zhanqiu Zhang, Pasquale Minervini, Ruotian Ma, Tao Gui, Qi Zhang, Xuanjing Huang	N/A	N/A
CURE: Context- and Uncertainty-Aware Mental Disorder Detection	Migyeong Kang, goun choi, Hyolim Jeon, Ji hyun An, Daejin Choi, Jinyoung Han	N/A	N/A
PepRec: Progressive Enhancement of Prompting for Recommendation	Yakun Yu, Shi-ang Qi, Baochun Li, Di Niu	N/A	N/A
In-Context Compositional Generalization for Large Vision-Language Models	Chuanhao Li, Chenchen Jing, Zhen Li, Mingliang Zhai, Yuwei Wu, Yunde Jia	N/A	N/A
Improving Zero-shot LLM Re-Ranker with Risk Minimization	Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu	N/A	N/A
Game on Tree: Visual Hallucination Mitigation via Coarse-to-Fine View Tree and Game Theory	Xianwei Zhuang, Zhihong Zhu, Zhanpeng Chen, Yuxin Xie, Liming Liang, Yuexian Zou	N/A	N/A
Label Confidence Weighted Learning for Target-level Sentence Simplification	Jingshen Zhang, Xin Ying Qiu	N/A	N/A
Quantum Recurrent Architectures for Text Classification	Wenduan Xu, Stephen Clark, Douglas Brown, Gabriel Matos, Konstantinos Meichanetzidis	N/A	N/A
Tree of Problems: Improving structured problem solving with compositionality	Armel Randy Zebaze, Benoît Sagot, Rachel Bawden	N/A	N/A
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study	Beatrice Savoldi, Sara Papi, Matteo Negri, Ana Guerberof-Arenas, Luisa Bentivogli	N/A	N/A
Seg2Act: Global Context-aware Action Generation for Document Logical Structuring	Zichao Li, Shaojie He, Meng Liao, Xuanang Chen, Yaojie Lu, Hongyu Lin, Yanxiong Lu, Xianpei Han, Le Sun	N/A	N/A
Is C4 Dataset Enough for Pruning? An Investigation of Calibration Data for LLM Pruning	Abhinav Bandari, Lu Yin, Cheng-Yu Hsieh, AJAY KUMAR JAISWAL, Tianlong Chen, Li Shen, Ranjay Krishna, Shiwei Liu	N/A	N/A
Revisiting the Robustness of Watermarking to Paraphrasing Attacks	Saksham Rastogi, Danish Pruthi	N/A	N/A
A Survey of Ontology Expansion for Conversational Understanding	Jinggui Liang, Yuxia Wu, Yuan Fang, Hao Fei, Lizi Liao	N/A	N/A
Calibrating Language Models with Adaptive Temperature Scaling	Johnathan Xie, Annie S Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn	N/A	N/A
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?	Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo	N/A	N/A
Why do objects have many names? A study on word informativeness in language use and lexical systems.	Eleonora Gualdoni, Gemma Boleda	N/A	N/A
Dual-Space Knowledge Distillation for Large Language Models	Songming Zhang, Xue Zhang, Zengkui Sun, Yufeng Chen, Jinan Xu	N/A	N/A
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity Recognition	Elena Merdjanovska, Ansar Aynetdinov, Alan Akbik	N/A	N/A
On the Universal Truthfulness Hyperplane Inside LLMs	Junteng Liu, Shiqi Chen, Yu Cheng, Junxian He	N/A	N/A
PairDistill: Pairwise Relevance Distillation for Dense Retrieval	Chao-Wei Huang, Yun-Nung Chen	N/A	N/A
User Inference Attacks on Large Language Models	Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu	N/A	N/A
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy	YongKang Liu, Yiqun Zhang, Qian Li, Tong Liu, Shi Feng, Daling Wang, Yifei Zhang, Hinrich Schuetze	N/A	N/A
Investigating and Mitigating Object Hallucinations in Pretrained Vision-Language (CLIP) Models	Yufang Liu, Tao Ji, Changzhi Sun, Yuanbin Wu, Aimin Zhou	N/A	N/A
Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation	Matthew Raffel, Victor Agostinelli, Lizhong Chen	N/A	N/A
ToolPlanner: A Tool Augmented LLM for Multi Granularity Instructions with Path Planning and Feedback	Qinzhuo Wu, Wei Liu, Jian Luan, Bin Wang	N/A	N/A
Please note that I’m just an AI: Analysis of Behavior Patterns of LLMs in (Non-)offensive Speech Identification	Esra Dönmez, Thang Vu, Agnieszka Falenska	N/A	N/A
How to Compute the Probability of a Word	Tiago Pimentel, Clara Meister	N/A	N/A
A linguistically-motivated evaluation methodology for unraveling model’s abilities in reading comprehension tasks	Elie Antoine, Frederic Bechet, Géraldine Damnati, Philippe Langlais	N/A	N/A
GuardBench: A Large-Scale Benchmark for Guardrail Models	Elias Bassani, Ignacio Sanchez	N/A	N/A
Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering	Yao Xu, Shizhu He, Jiabei Chen, Zihao Wang, Yangqiu Song, Hanghang Tong, Guang Liu, Jun Zhao, Kang Liu	N/A	N/A
Language models and brains align due to more than next-word prediction and word-level information	Gabriele Merlin, Mariya Toneva	N/A	N/A
LLMEdgeRefine: Enhancing Text Clustering with LLM-Based Boundary Point Refinement	Zijin Feng, Luyang Lin, Lingzhi Wang, Hong Cheng, Kam-Fai Wong	N/A	N/A
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures	Ekaterina Sviridova, Anar Yeginbergen, Ainara Estarrona, Elena Cabrio, Serena Villata, Rodrigo Agerri	N/A	N/A
A Simple and Effective $L_2$ Norm-Based Strategy for KV Cache Compression	Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini	N/A	N/A
GOME: Grounding-based Metaphor Binding With Conceptual Elaboration For Figurative Language Illustration	Linhao Zhang, Jintao Liu, Li Jin, Hao Wang, kaiwen wei, Guangluan Xu	N/A	N/A
D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation	Aida Mostafazadeh Davani, Mark Diaz, Dylan K Baker, Vinodkumar Prabhakaran	N/A	N/A
PALM: Few-Shot Prompt Learning for Audio Language Models	Asif Hanif, Maha Tufail Agro, Mohammad Areeb Qazi, Hanan Aldarmaki	N/A	N/A
Annotator-Centric Active Learning for Subjective NLP Tasks	Michiel van der Meer, Neele Falk, Pradeep K. Murukannaiah, Enrico Liscio	N/A	N/A
Lost in Tokenization: How to Measure Word Surprisal From LM Token Probabilities	Luca Malagutti, Juan Luis Gastaldi, Brian DuSell, Tim Vieira, Ryan Cotterell, Mario Giulianelli	N/A	N/A
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation	Anas Himmi, Guillaume Staerman, Marine Picot, Pierre Colombo, Nuno M Guerreiro	N/A	N/A
Jailbreaking LLMs with Arabic Transliteration and Arabizi	Mansour Al Ghanim, saleh almohaimeed, Mengxin Zheng, Yan Solihin, Qian Lou	N/A	N/A
Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models	Zara Siddique, Liam Turner, Luis Espinosa-Anke	N/A	N/A
Instruction Matters, a Simple yet Effective Task Selection Approach in Instruction Tuning for Specific Tasks	Changho Lee, Janghoon Han, Seonghyeon Ye, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae	N/A	N/A
Recurrent Alignment with Hard Attention for Hierarchical Text Rating	Chenxi Lin, Ren Jiayu, Guoxiu He, Zhuoren Jiang, Haiyan yu, Xiaomin Zhu	N/A	N/A
CHESS: Optimizing LLM Inference via Channel-Wise Thresholding and Selective Sparsification	Junhui He, Shangyu Wu, Weidong Wen, Chun Jason Xue, Qingan Li	N/A	N/A
Semformer: Transformer Language Models with Semantic Planning	Yongjing Yin, Junran Ding, Kai Song, Yue Zhang	N/A	N/A
DocCGen: Document-based Controlled Code Generation	Sameer Pimparkhede, Mehant Kammakomati, Srikanth G. Tamilselvam, Prince Kumar, Ashok Pon Kumar, Pushpak Bhattacharyya	N/A	N/A
Semantics and Sentiment: Cross-lingual Variations in Emoji Use	Giulio Zhou, Sydelle de Souza, Ella Markham, Oghenetekevwe Kwakpovwe, Sumin Zhao	N/A	N/A
The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations	Daniel Akkerman, Phong Le, Raquel G. Alhama	N/A	N/A
Transformers are Multi-State RNNs	Matanel Oren, Michael Hassid, Nir Yarden, Yossi Adi, Roy Schwartz	N/A	N/A
Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization	Niyati Bafna, Kenton Murray, David Yarowsky	N/A	N/A
Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion	Kerem Zaman, Leshem Choshen, Shashank Srivastava	N/A	N/A
Collective Critics for Creative Story Generation	Minwook Bae, Hyounghun Kim	N/A	N/A
Surprisal Curves of Discourse	Eleftheria Tsipidi, Franz Nowak, Ryan Cotterell, Ethan Wilcox, Mario Giulianelli, Alex Warstadt	N/A	N/A
Model-based Preference Optimization in Abstractive Summarization without Human Feedback	Jaepill choi, Kyubyung Chae, Jiwoo Song, Yohan Jo, Taesup Kim	N/A	N/A
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?	Wataru Hashimoto, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
NeuroTrialNER: An Annotated Corpus for Neurological Diseases and Therapies in Clinical Trial Registries	Simona Emilova Doneva, Tilia Ellendorff, Jean-Philippe Goldman, Amelia Elaine Cannon, Gerold Schneider, Beate Sick, Benjamin Victor Ineichen	N/A	N/A
Do Explanations Help or Hurt? Saliency Maps vs Natural Language Explanations in a Clinical Decision-Support Setting	Maxime Guillaume Kayser, Bayar Menzat, Cornelius Emde, Bogdan Alexandru Bercean, Alex Novak, Abdalá Trinidad Espinosa Morgado, Bartlomiej Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu	N/A	N/A
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering	WEIHE ZHAI, Arkaitz Zubiaga, Bingquan Liu, Chengjie Sun, Yalong Zhao	N/A	N/A
Generation with Dynamic Vocabulary	Yanting Liu, Tao Ji, Yuanbin Wu, Xiaoling Wang, Changzhi Sun	N/A	N/A
Argument Relation Classification through Discourse Markers and Adversarial Training	Michele Luca Contalbo, Francesco Guerra, Matteo Paganelli	N/A	N/A
Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection	Abhishek Purushothama, Adam Wiemerslage, Katharina von der Wense	N/A	N/A
Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval	Dae Yon Hwang, Bilal Taha, Harshit Pande, Yaroslav Nechaev	N/A	N/A
Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language Models	Po-Heng Chen, Yun-Nung Chen	N/A	N/A
Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation	Ruiyu Xiao, Lei Wu, Yuhang Gou, Weinan Zhang, Ting Liu	N/A	N/A
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning	Kate Sanders, Nathaniel Weir, Benjamin Van Durme	N/A	N/A
Unsupervised Extraction of Dialogue Policies from Conversations	Makesh Narsimhan Sreedhar, Traian Rebedea, Christopher Parisien	N/A	N/A
GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization	Onkar Kishor Susladkar, Gayatri Sudhir Deshmukh, Vandan Gorade, Sparsh Mittal	N/A	N/A
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality	Youngtaek Oh, Jae Won Cho, Dong-Jin Kim, In So Kweon, Junmo Kim	N/A	N/A
FoodieQA: A Multimodal Dataset for Fine-Grained Understanding of Chinese Food Culture	Wenyan Li, Crystina Zhang, Jiaang Li, Qiwei Peng, Raphael Tang, Li Zhou, Weijia Zhang, Guimin Hu, Yifei Yuan, Anders Søgaard, Daniel Hershcovich, Desmond Elliott	N/A	N/A
A Two-Step Approach for Data-Efficient French Pronunciation Learning	Hoyeon Lee, Hyeeun Jang, JONGHWAN KIM, Jaemin Kim	N/A	N/A
Exploring Intra and Inter-language Consistency in Embeddings with ICA	Rongzhi Li, Takeru Matsuda, Hitomi Yanaka	N/A	N/A
DetoxLLM: A Framework for Detoxification with Explanations	Md Tawkat Islam Khondaker, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan	N/A	N/A
Building a Multi-Platform, BERT Classifier for Detecting Connective Language	Josephine Lukito, Bin Chen, Gina M. Masullo, Natalie Jomini Stroud	N/A	N/A
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models	Yash Akhauri, Ahmed F AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M Rush, Safeen Huda, Mohamed S Abdelfattah	N/A	N/A
Emotion Granularity from Text: An Aggregate-Level Indicator of Mental Health	Krishnapriya Vishnubhotla, Daniela Teodorescu, Mallory J Feldman, Kristen Lindquist, Saif M. Mohammad	N/A	N/A
BLSP-Emo: Towards Empathetic Large Speech-Language Models	Chen Wang, Minpeng Liao, Zhongqiang Huang, Junhong Wu, Chengqing Zong, Jiajun Zhang	N/A	N/A
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation	Abhishek Divekar, Greg Durrett	N/A	N/A
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model	Wenqi Zhang, Zhenglin Cheng, Yuanyu He, Mengna Wang, Yongliang Shen, Zeqi Tan, Guiyang Hou, Mingqian He, Yanna Ma, Weiming Lu, Yueting Zhuang	N/A	N/A
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts	Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty	N/A	N/A
DEM: Distribution Edited Model for Training with Mixed Data Distributions	Dhananjay Ram, Aditya Rawal, Momchil Hardalov, Nikolaos Pappas, Sheng Zha	N/A	N/A
Altogether: Image Captioning via Re-aligning Alt-text	Hu Xu, Po-Yao Huang, Xiaoqing Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-Wen Li, Saining Xie, Christoph Feichtenhofer	N/A	N/A
VerifyMatch: A Semi-Supervised Learning Paradigm for Natural Language Inference with Confidence-Aware MixUp	Seo Yeon Park, Cornelia Caragea	N/A	N/A
CaT-Bench: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans	Yash Kumar Lal, Vanya Cohen, Nathanael Chambers, Niranjan Balasubramanian, Ray Mooney	N/A	N/A
Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics	Théo Gigant, Camille Guinaudeau, Marc decombas, Frederic Dufaux	N/A	N/A
An Empirical Analysis of the Writing Styles of Persona-Assigned LLMs	Manuj Malik, Jing Jiang, Kian Ming A. Chai	N/A	N/A
Investigating the Role of Instruction Variety and Task Difficulty in Robotic Manipulation Tasks	Amit Parekh, Nikolas Vitsakis, Alessandro Suglia, Ioannis Konstas	N/A	N/A
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning	Aleksander Ficek, Jiaqi Zeng, Oleksii Kuchaiev	N/A	N/A
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing	Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang	N/A	N/A
Sequential API Function Calling Using GraphQL Schema	Avirup Saha, Lakshmi Mandal, Balaji Ganesan, Sambit Ghosh, Renuka Sindhgatta, Carlos Eberhardt, Dan Debrunner, Sameep Mehta	N/A	N/A
The Illusion of Competence: Evaluating the Effect of Explanations on Users’ Mental Models of Visual Question Answering Systems	Judith Sieker, Simeon Junker, Ronja Utescher, Nazia Attari, Heiko Wersing, Hendrik Buschmeier, Sina Zarrieß	N/A	N/A
Re-Evaluating Evaluation for Multilingual Summarization	Jessica Zosa Forde, Ruochen Zhang, Lintang Sutawika, Alham Fikri Aji, Samuel Cahyawijaya, Genta Indra Winata, Minghao Wu, Carsten Eickhoff, Stella Biderman, Ellie Pavlick	N/A	N/A
Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding	Heng zhao, Zhao Yinjie, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou	N/A	N/A
A Fast and Sound Tagging Method for Discontinuous Named-Entity Recognition	Caio Filippo Corro	N/A	N/A
Factuality of Large Language Models in the Year 2024	Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Fei Liu, Georgi Nenkov Georgiev, Rocktim Jyoti Das, Preslav Nakov	N/A	N/A
Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation	Youngwoo Kim, Razieh Rahimi, James Allan	N/A	N/A
Adaptable Moral Stances of Large Language Models on Sexist Content: Implications for Society and Gender Discourse	Rongchen Guo, Isar Nejadgholi, Hillary Dawkins, Kathleen C. Fraser, Svetlana Kiritchenko	N/A	N/A
DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers	Rakesh R Menon, Shashank Srivastava	N/A	N/A
IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning	Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha	N/A	N/A
Scope-enhanced Compositional Semantic Parsing for DRT	Xiulin Yang, Jonas Groschwitz, Alexander Koller, Johan Bos	N/A	N/A
The Generation Gap: Exploring Age Bias Underlying in the Value Systems of Large Language Models	Siyang Liu, Trisha Maturi, Bowen Yi, Siqi Shen, Rada Mihalcea	N/A	N/A
TempoFormer: A Transformer for Temporally-aware Representations in Change Detection	Talia Tseriotou, Adam Tsakalidis, Maria Liakata	N/A	N/A
Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?	Guillermo Marco, Julio Gonzalo, M.Teresa Mateo-Girona, Ramón del Castillo Santos	N/A	N/A
Evaluating Diversity in Automatic Poetry Generation	Yanran Chen, Hannes Gröner, Sina Zarrieß, Steffen Eger	N/A	N/A
Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models	Yi Zhou, Danushka Bollegala, Jose Camacho-Collados	N/A	N/A
Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection	Camilla Casula, Sebastiano Vecellio Salto, Alan Ramponi, Sara Tonelli	N/A	N/A
Grounding Language in Multi-Perspective Referential Communication	Zineng Tang, Lingjun Mao, Alane Suhr	N/A	N/A
Threshold-driven Pruning with Segmented Maximum Term Weights for Approximate Cluster-based Sparse Retrieval	Yifan Qiao, Parker Carlson, Shanxiu He, Yingrui Yang, Tao Yang	N/A	N/A
Error Analysis of Multilingual Language Models in Machine Translation for Low-resource Languages: A Case Study of Amharic to English Bi-directional Machine Translation	Hizkiel Mitiku Alemayehu, Hamada M Zahera, Axel-Cyrille Ngonga Ngomo	N/A	N/A
MIPD: Exploring Manipulation and Intention In a Novel Corpus of Polish Disinformation	Arkadiusz Modzelewski, Giovanni Da San Martino, Pavel Savov, Magdalena Anna Wilczyńska, Adam Wierzbicki	N/A	N/A
Unsupervised Discrete Representations of American Sign Language	Artem Abzaliev, Rada Mihalcea	N/A	N/A
Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models	Chani Jung, Dongkwan Kim, Jiho Jin, Jiseon Kim, Yeon Seonwoo, Yejin Choi, Alice Oh, Hyunwoo Kim	N/A	N/A
Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs	Mihir Parmar, Hanieh Deilamsalehy, Franck Dernoncourt, Seunghyun Yoon, Ryan A. Rossi, Trung Bui	N/A	N/A
Jump Starting Bandits with LLM-Generated Prior Knowledge	Parand A. Alamdari, Yanshuai Cao, Kevin H. Wilson	N/A	N/A
Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?	Fırat Öncel, Matthias Bethge, Beyza Ermis, Mirco Ravanelli, Cem Subakan, Çağatay Yıldız	N/A	N/A
Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation	Ruotong Pan, Boxi Cao, Hongyu Lin, Xianpei Han, Jia Zheng, Sirui Wang, Xunliang Cai, Le Sun	N/A	N/A
Virtual Personas for Language Models via an Anthology of Backstories	Suhong Moon, Marwa Abdulhai, Minwoo Kang, Joseph Suh, Widyadewi Soedarmadji, Eran Kohen Behar, David Chan	N/A	N/A
Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?	Nemika Tyagi, Mihir Parmar, Mohith Kulkarni, Aswin RRV, Nisarg Patel, Mutsumi Nakamura, Arindam Mitra, Chitta Baral	N/A	N/A
Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies	Junlin Wang, Siddhartha Jain, Dejiao Zhang, Baishakhi Ray, Varun Kumar, Ben Athiwaratkun	N/A	N/A
The Empirical Variability of Narrative Perceptions of Social Media Texts	Joel Mire, Maria Antoniak, Elliott Ash, Andrew Piper, Maarten Sap	N/A	N/A
Which questions should I answer? Salience Prediction of Inquisitive Questions	Yating Wu, Ritika Rajesh Mangla, Alex Dimakis, Greg Durrett, Junyi Jessy Li	N/A	N/A
Revealing Personality Traits: A New Benchmark Dataset for Explainable Personality Recognition on Dialogues	Lei Sun, Jinming Zhao, Qin Jin	N/A	N/A
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech	Guan-Ting Lin, Wei Ping Huang, Hung-yi Lee	N/A	N/A
Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities	Sachit Menon, Richard Zemel, Carl Vondrick	N/A	N/A
CodeJudge: Evaluating Code Generation with Large Language Models	Weixi Tong, Tianyi Zhang	N/A	N/A
Self-Training Large Language and Vision Assistant for Medical	Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, ZHIQIANG TAO	N/A	N/A
SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization	Prakamya Mishra, Zonghai Yao, Parth Vashisht, Feiyun Ouyang, Beining Wang, Vidhi Dhaval Mody, hong yu	N/A	N/A
Defending Jailbreak Prompts via In-Context Adversarial Game	Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang	N/A	N/A
Detecting Online Community Practices with Large Language Models: A Case Study of Pro-Ukrainian Publics on Twitter	Kateryna Kasianenko, Shima Khanehzar, Stephen Wan, Ehsan Dehghan, Axel Bruns	N/A	N/A
Multilingual Topic Classification in X: Dataset and Analysis	Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Jose Camacho-Collados	N/A	N/A
MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models	Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong	N/A	N/A
Updating CLIP to Prefer Descriptions Over Captions	Amir Zur, Elisa Kreiss, Karel D’Oosterlinck, Christopher Potts, Atticus Geiger	N/A	N/A
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security Research	Sian-Yao Huang, Cheng-Lin Yang, Che-Yu Lin, Chun-Ying Huang	N/A	N/A
Back to School: Translation Using Grammar Books	Jonathan Hus, Antonios Anastasopoulos	N/A	N/A
VIEWS: Entity-Aware News Video Captioning	Hammad Ayyubi, Tianqi Liu, Arsha Nagrani, Xudong Lin, Mingda Zhang, Anurag Arnab, feng han, Yukun Zhu, Xuande Feng, Kevin Zhang, Jialu Liu, Shih-Fu Chang	N/A	N/A
Towards Aligning Language Models with Textual Feedback	Saüc Abadal Lloret, Shehzaad Dhuliawala, Keerthiram Murugesan, Mrinmaya Sachan	N/A	N/A
ATPO: Automatic Tree-Structured Prompt Optimization	Sheng Yang, Yurong Wu, Yan Gao, Zineng Zhou, Xiaodi Sun, Bin Benjamin Zhu, Jian-Guang Lou, Zhiming Ding, Anbang Hu, Yuan Fang, Yunsong Li, Junyan Chen, Linjun Yang	N/A	N/A
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators	Xinglin Lyu, Junhui Li, Yanqing Zhao, Min Zhang, Daimeng Wei, shimin tao, Hao Yang, Min Zhang	N/A	N/A
DEFT-UCS: Data Efficient Fine-Tuning for Pre-Trained Language Models via Unsupervised Core-Set Selection	Devleena Das, Vivek Khetan	N/A	N/A
Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models	Yuko Nakagi, Takuya Matsuyama, Naoko Koide-Majima, Hiroto Q. Yamaguchi, Rieko Kubo, Shinji Nishimoto, Yu Takagi	N/A	N/A
“They are uncultured”: Unveiling Covert Harms and Social Threats in LLM Generated Conversations	Preetam Prabhu Srikar Dammu, Hayoung Jung, Anjali Singh, Monojit Choudhury, Tanu Mitra	N/A	N/A
Multi-expert Prompting Improves Reliability, Safety and Usefulness of Large Language Models	Do Xuan Long, Duong Ngoc Yen, Anh Tuan Luu, Kenji Kawaguchi, Min-Yen Kan, Nancy F. Chen	N/A	N/A
Will LLMs Replace the Encoder-Only Models in Temporal Relation Classification?	Gabriel Roccabruna, Massimo Rizzoli, giuseppe riccardi	N/A	N/A
Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties	Keunwoo Peter Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, Joyce Chai	N/A	N/A
Framework for Robust and Scalable Text Watermarking	Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low	N/A	N/A
MASIVE: Open-Ended Affective State Identification in English and Spanish	Nicholas Deas, Elsbeth Turcan, Ivan Ernesto Perez Mejia, Kathleen McKeown	N/A	N/A
You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions	Tasnim Kabir, Yoo Yeon Sung, Saptarashmi Bandyopadhyay, Hao Zou, Abhranil Chandra, Jordan Lee Boyd-Graber	N/A	N/A
AlphaExpert: Assigning LoRA Experts Based on Layer Training Quality	Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi	N/A	N/A
Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling	Irfan Robbani, Paul Reisert, Surawat Pothong, Naoya Inoue, Camélia Guerraoui, Wenzhi Wang, Shoichi Naito, Jungmin Choi, Kentaro Inui	N/A	N/A
Advancing Social Intelligence in AI Agents: Technical Challenges and Open Question	Leena Mathur, Paul Pu Liang, Louis-Philippe Morency	N/A	N/A
RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models	Ziyi Kou, Shichao Pei, Meng Jiang, Xiangliang Zhang	N/A	N/A
Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese	Rifki Afina Putri, Faiz Ghifari Haznitrama, Dea Adhista, Alice Oh	N/A	N/A
Learnability of Indirect Evidence in Language Models	Miyu Oba, Yohei Oseki, Akiyo Fukatsu, Akari Haga, Hiroki Ouchi, Taro Watanabe, Saku Sugawara	N/A	N/A
Do LLMs Know to Respect Copyright Notice?	Jialiang Xu, SHENGLAN LI, Zhaozhuo Xu, Denghui Zhang	N/A	N/A
SpecHub: Provable Acceleration to Multi-Draft Speculative Decoding	Hanchi Sun, Tianyi Zhou, Xun Chen, Lichao Sun	N/A	N/A
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding	YeonJoon Jung, Jaeseong Lee, Seungtaek Choi, Dohyeon Lee, Minsoo Kim, seung-won hwang	N/A	N/A
Rethinking the Role of Proxy Rewards in Language Model Alignment	Sungdong Kim, Minjoon Seo	N/A	N/A
Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant	Abhirama Subramanyam Penamakuri, Anand Mishra	N/A	N/A
How Good is my MT Metric? A Framework for the Interpretation of Metric Assessments	Stefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, Edoardo Barba, Roberto Navigli	N/A	N/A
IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning	Soeun Lee, Si-Woo Kim, Taewhan Kim, Dong-Jin Kim	N/A	N/A
SPREADSHEETLLM: Encoding Spreadsheets for Large Language Models	Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang	N/A	N/A
Let’s discuss! Quality Dimensions and Annotated Datasets for Computational Argument Quality	Rositsa V Ivanova, Thomas Huber, Christina Niklaus	N/A	N/A
Automatic sentence segmentation of clinical record narratives in real-world data	Dongfang Xu, Davy Weissenbacher, Karen O’Connor, Siddharth Rawal, Graciela Gonzalez Hernandez	N/A	N/A
One-to-Many Communication and Compositionality in Emergent Communication	Heeyoung Lee	N/A	N/A
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities	Siyin Wang, Chao-Han Huck Yang, Ji Wu, Chao Zhang	N/A	N/A
Investigating Multilingual Instruction-Tuning: Do Polyglot Models Demand for Multilingual Instructions?	Alexander Arno Weber, Klaudia Thellmann, Jan Ebert, Nicolas Flores-Herr, Jens Lehmann, Michael Fromm, Mehdi Ali	N/A	N/A
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models	Nisarg Patel, Mohith Kulkarni, Mihir Parmar, Aashna Budhiraja, Mutsumi Nakamura, Neeraj Varshney, Chitta Baral	N/A	N/A
Contrastive Classification via Linear Layer Extrapolation	Mayukh Sharma, Sean O’Brien, Julian McAuley	N/A	N/A
Task Oriented In-Domain Data Augmentation	Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao	N/A	N/A
SciDQA: A Deep Reading Comprehension Dataset over Scientific Papers	Shruti Singh, Nandan Sarkar, Arman Cohan	N/A	N/A
Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules	Zhuocheng Gong, Ang Lv, Jian Guan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan	N/A	N/A
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages	Youssef Mohamed, Runjia Li, Ibrahim Said Ahmad, Kilichbek Haydarov, Philip Torr, Kenneth Church, Mohamed Elhoseiny	N/A	N/A
PREDICT: Multi-Agent-based Debate Simulation for Generalized Hate Speech Detection	Someen Park, Jaehoon Kim, Seungwan Jin, Sohyun Park, Kyungsik Han	N/A	N/A
TokenVerse: Unifying Speech and NLP Tasks via Transducer-based ASR	Shashi Kumar, Srikanth Madikeri, Juan Pablo Zuluaga Gomez, Iuliia Thorbecke, Esaú VILLATORO-TELLO, Sergio Burdisso, Petr Motlicek, Karthik Pandia D S, Aravind Ganapathiraju	N/A	N/A
ApiQ: Finetuning of 2-Bit Quantized Large Language Model	Baohao Liao, Christian Herold, Shahram Khadivi, Christof Monz	N/A	N/A
Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk	Zhiyuan Zeng, Qipeng Guo, Xiaoran Liu, Zhangyue Yin, Wentao Shu, Mianqiu Huang, Bo Wang, Yunhua Zhou, Linlin Li, Qun Liu, Xipeng Qiu	N/A	N/A
A Morphology-Based Investigation of Positional Encodings	Poulami Ghosh, Shikhar Vashishth, Raj Dabre, Pushpak Bhattacharyya	N/A	N/A
I love pineapple on pizza != I hate pineapple on pizza: Stance-Aware Sentence Transformers for Opinion Mining	Vahid Ghafouri, Jose M. Such, Guillermo Suarez-Tangil	N/A	N/A
BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability	Mamta Mamta, Rishikant Chigrupaatii, Asif Ekbal	N/A	N/A
ArMeme: Propagandistic Content in Arabic Memes	Firoj Alam, Abul Hasnat, Fatema Ahmad, Md. Arid Hasan, Maram Hasanain	N/A	N/A
Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts	Arianna Muti, Federico Ruggeri, Khalid Al Khatib, Alberto Barrón-Cedeño, Tommaso Caselli	N/A	N/A
Thoughts to Target: Enhance Planning for Target-driven Conversation	Zhonghua Zheng, Lizi Liao, Yang Deng, Ee-Peng Lim, Minlie Huang, Liqiang Nie	N/A	N/A
Scalable Data Ablation Approximations for Language Models through Modular Training and Merging	Clara Na, Ian Magnusson, Ananya Harsh Jha, Tom Sherborne, Emma Strubell, Jesse Dodge, Pradeep Dasigi	N/A	N/A
Exploring Intrinsic Language-specific Subspaces in Fine-tuning Multilingual Neural Machine Translation	Zhe Cao, Zhi Qu, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction: Value Also Matters	Zhiyu Guo, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Generative Subgraph Retrieval for Knowledge Graph–Grounded Dialog Generation	Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim	N/A	N/A
Adapters Mixup: Mixing Parameter-Efficient Adapters to Enhance the Adversarial Robustness of Fine-tuned Pre-trained Text Classifiers	Tuc Van Nguyen, Thai Le	N/A	N/A
Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4	Woojin Kim, Sungeun Hahm, Jaejin Lee	N/A	N/A
Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game	Prisha Samdarshi, Mariam Mustafa, Anushka Kulkarni, Raven Rothkopf, Tuhin Chakrabarty, Smaranda Muresan	N/A	N/A
GottBERT: a pure German Language Model	Raphael Scheible, Johann Frei, Fabian Thomczyk, Henry He, Patric Tippmann, Jochen Knaus, Victor Jaravine, Frank Kramer, Martin Boeker	N/A	N/A
Computational Meme Understanding: A Survey	Khoi P. N. Nguyen, Vincent Ng	N/A	N/A
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage	Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis	N/A	N/A
Retrieval-enriched zero-shot image classification in low-resource domains	Nicola Dall’Asen, Yiming Wang, Enrico Fini, Elisa Ricci	N/A	N/A
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization	Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, hufeng, Yu Su, Qi Liu	N/A	N/A
Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps	Giuseppe Attanasio, Beatrice Savoldi, Dennis Fucci, Dirk Hovy	N/A	N/A
Enhancing Language Model Alignment: A Confidence-Based Approach to Label Smoothing	Baihe Huang, Hiteshi Sharma, Yi Mao	N/A	N/A
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion	Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub, Eugene Choi, Bill Wu, Chris Cremer, Arash Ahmadian, Yash Chandak, Mohammad Gheshlaghi Azar, Olivier Pietquin, Matthieu Geist	N/A	N/A
Show and Guide: Instructional-Plan Grounded Vision and Language Model	Diogo Glória-Silva, David Semedo, Joao Magalhaes	N/A	N/A
Beyond Turn-Based Interfaces: Synchronous LLMs as Full-Duplex Dialogue Agents	Bandhav Veluri, Benjamin N Peloquin, Bokai YU, Hongyu Gong, Shyamnath Gollakota	N/A	N/A
QuBE: Question-based Belief Enhancement for Agentic LLM	Minsoo Kim, Jongyoon Kim, Jihyuk Kim, seung-won hwang	N/A	N/A
COMPACT: Compressing Retrieved Documents Actively for Question Answering	Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, Minbyul Jeong, Jaewoo Kang	N/A	N/A
An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models	Fatemeh Shiri, Xiao-Yu Guo, Mona Golestan Far, Xin Yu, Reza Haf, Yuan-Fang Li	N/A	N/A
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models	Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Sricharan Kumar	N/A	N/A
Local Contrastive Editing of Gender Stereotypes	Marlene Lutz, Rochelle Choenni, Markus Strohmaier, Anne Lauscher	N/A	N/A
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP	Stefan Larson, Nicole Cornehl Lima, Santiago Pedroza Diaz, Amogh Manoj Joshi, Siddharth Betala, Jamiu Tunde Suleiman, Yash Mathur, Kaushal Kumar Prajapati, Ramla Alakraa, Junjie Shen, Temi Okotore, Kevin Leach	N/A	N/A
RAR: Retrieval Augmented Retrieval for Code Generation in Low Resource Languages	Avik Dutta, Mukul Singh, Gust Verbruggen, Sumit Gulwani, Vu Le	N/A	N/A
STAR: SocioTechnical Approach to Red Teaming Language Models	Laura Weidinger, John F J Mellor, Bernat Guillén Pegueroles, Nahema Marchal, Ravin Kumar, Kristian Lum, Canfer Akbulut, Mark Diaz, A. Stevie Bergman, Mikel D. Rodriguez, Verena Rieser, William Isaac	N/A	N/A
Do great minds think alike? Investigating Human-AI Complementarity for Question Answering	Maharshi Gor, Hal Daumé III, Tianyi Zhou, Jordan Lee Boyd-Graber	N/A	N/A
Memory-Efficient Fine-Tuning of Transformers via Token Selection	Antoine Simoulin, Namyong Park, Xiaoyi Liu, Grey Yang	N/A	N/A
Unveiling the mystery of visual attributes of concrete and abstract concepts: Variability, nearest neighbors, and challenging categories	Tarun Tater, Sabine Schulte im Walde, Diego Frassinelli	N/A	N/A
Evaluating Large Language Models on Time Series Feature Understanding: A Comprehensive Taxonomy and Benchmark	Elizabeth Fons, Rachneet Kaur, Soham Palande, Zhen Zeng, Tucker Balch, Manuela Veloso, Svitlana Vyetrenko	N/A	N/A
Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner	Shudong Liu, Zhaocong Li, Xuebo Liu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao, Min zhang	N/A	N/A
Preference-Guided Reflective Sampling for Aligning Language Models	Hai Ye, Hwee Tou Ng	N/A	N/A
Metrics for What, Metrics for Whom: Assessing Actionability of Bias Evaluation Metrics in NLP	Pieter Delobelle, Giuseppe Attanasio, Debora Nozza, Su Lin Blodgett, Zeerak Talat	N/A	N/A
Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs	Xuhui Zhou, Zhe Su, Tiwalayo Eisape, Hyunwoo Kim, Maarten Sap	N/A	N/A
A Simple LLM Framework for Long-Range Video Question-Answering	Ce Zhang, Taixi Lu, Md Mohaiminul Islam, Ziyang Wang, Shoubin Yu, Mohit Bansal, Gedas Bertasius	N/A	N/A
Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing	Akshat Gupta, Sidharth Baskaran, Gopala Anumanchipalli	N/A	N/A
Casablanca: Data and Models for Multidialectal Arabic Speech Recognition	Bashar Talafha, Karima Kadaoui, Samar Mohamed Magdy, Mariem Habiboullah, Chafei Mohamed Chafei, Ahmed Oumar El-Shangiti, Hiba Zayed, Mohamedou cheikh tourad, Rahaf Alhamouri, Rwaa Assi, Aisha Alraeesi, Hour Mohamed, Fakhraddin Alwajih, Abdelrahman Mohamed, Abdellah EL MEKKI, El Moatez Billah Nagoudi, Benelhadj Djelloul Mama Saadia, Hamzah A. Alsayadi, Walid Al-Dhabyani, Sara Shatnawi, Yasir ECH-CHAMMAKHY, AMAL MAKOUAR, Yousra Berrachedi, Mustafa Jarrar, Shady Shehata, Ismail Berrada, Muhammad Abdul-Mageed	N/A	N/A
Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations	Rima Hazra, Sayan Layek, Somnath Banerjee, Soujanya Poria	N/A	N/A
Communicating with Speakers and Listeners of Different Pragmatic Levels	Kata Naszadi, Frans A Oliehoek, Christof Monz	N/A	N/A
RECANTFormer: Referring Expression Comprehension with Varying Numbers of Targets	Bhathiya Hemanthage, Hakan Bilen, Phil Bartie, Christian Dondrup, Oliver Lemon	N/A	N/A
Sprout: Green Generative AI with Carbon-Efficient LLM Inference	Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari	N/A	N/A
Do LLMs Plan Like Human Writers? Comparing Journalist Coverage of Press Releases with LLMs	Alexander Spangher, Nanyun Peng, Sebastian Gehrmann, Mark Dredze	N/A	N/A
T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings	Björn Deiseroth, Manuel Brack, Samuel Weinbach, Patrick Schramowski, Kristian Kersting	N/A	N/A
SpeechQE: Estimating the Quality of Direct Speech Translation	HyoJung Han, Kevin Duh, Marine Carpuat	N/A	N/A
Assessing and Verifying Task Utility in LLM-Powered Applications	Negar Arabzadeh, Siqing Huo, Nikhil Mehta, Qingyun Wu, Chi Wang, Ahmed Hassan Awadallah, Charles L. A. Clarke, Julia Kiseleva	N/A	N/A
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models	Somanshu Singla, Zhen Wang, Tianyang Liu, Abdullah Ashfaq, Zhiting Hu, Eric P. Xing	N/A	N/A
Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree	Harbani Jaggi, Kashyap Coimbatore Murali, Eve Fleisig, Erdem Biyik	N/A	N/A
Adversarial Text Generation using Large Language Models for Dementia Detection	Youxiang Zhu, Nana Lin, Kiran Sandilya Balivada, Daniel Haehn, Xiaohui Liang	N/A	N/A
xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics	Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger	N/A	N/A
The Greatest Good Benchmark: Measuring LLMs’ Alignment with Utilitarian Moral Dilemmas	Giovanni Franco Gabriel Marraffini, Andrés Cotton, Noe Fabian Hsueh, Juan Wisznia, Axel Fridman, Luciano Del Corro	N/A	N/A
FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding	Jiali Cheng, Hadi Amiri	N/A	N/A
Style-Shifting Behaviour of the Manosphere on Reddit	Jai Aggarwal, Suzanne Stevenson	N/A	N/A
The Death and Life of Great Prompts: Analyzing the Evolution of LLM Prompts from the Structural Perspective	Yihan Ma, Xinyue Shen, Yixin Wu, Boyang Zhang, Michael Backes, Yang Zhang	N/A	N/A
Holistic Evaluation for Interleaved Text-and-Image Generation	Minqian Liu, Zhiyang Xu, Zihao Lin, Trevor Ashby, Joy Rimchala, Jiaxin Zhang, Lifu Huang	N/A	N/A
FOLIO: Natural Language Reasoning with First-Order Logic	SIMENG HAN, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander Fabbri, Wojciech Maciej Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev	N/A	N/A
The LLM Effect: Are Humans Truly Using LLMs, or Are They Being Influenced By Them Instead?	Alexander Choi, Syeda Sabrina Akter, J.P. Singh, Antonios Anastasopoulos	N/A	N/A
Is Child-Directed Speech Effective Training Data for Language Models?	Steven Y. Feng, Noah Goodman, Michael Frank	N/A	N/A
RevMUX: Data Multiplexing with Reversible Adapters for Efficient LLM Batch Inference	Yige Xu, Xu Guo, Zhiwei Zeng, Chunyan Miao	N/A	N/A
HCEG: Improving the Abstraction Ability of Language Models with Hierarchical Conceptual Entailment Graphs	Juncai Li, Ru Li, Xiaoli Li, Qinghua Chai, Jeff Z. Pan	N/A	N/A
M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought	Gitanjali Kumari, Kirtan Jain, Asif Ekbal	N/A	N/A
GPT-4 Jailbreaks Itself with Near-Perfect Success Using Self-Explanation	Govind Ramesh, Yao Dou, Wei Xu	N/A	N/A
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation	Kiseung Kim, Jay-Yoon Lee	N/A	N/A
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets	Vatsal Gupta, Pranshu Pandya, Tushar Kataria, Vivek Gupta, Dan Roth	N/A	N/A
Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model	Mana Makinae, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Is This a Bad Table? A Closer Look at the Evaluation of Table Generation from Text	Pritika Ramu, Aparna Garimella, Sambaran Bandyopadhyay	N/A	N/A
On the Fragility of Active Learners for Text Classification	Abhishek Ghose, Emma Thuong Nguyen	N/A	N/A
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers	Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang	N/A	N/A
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval	Jonghyun Song, Cheyon Jin, Wenlong Zhao, Jay-Yoon Lee	N/A	N/A
M3D: MultiModal MultiDocument Fine-Grained Inconsistency Detection	Chia-Wei Tang, Ting-Chih Chen, Alvi Md Ishmam, Kiet A. Nguyen, Kazi Sajeed Mehrab, Chris Thomas	N/A	N/A
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning	Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang	N/A	N/A
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records	Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang	N/A	N/A
SimLLM: Detecting Sentences Generated by Large Language Models Using Similarity between the Generation and its Re-generation	Hoang-Quoc Nguyen-Son, Minh-Son Dao, Koji Zettsu	N/A	N/A
CELLO: Causal Evaluation of Large Vision-Language Models	Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu	N/A	N/A
Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair	Yusuke Sakai, Mana Makinae, Hidetaka Kamigaito, Taro Watanabe	N/A	N/A
Training-free Deep Concept Injection Enables Language Models for Video Question Answering	Xudong Lin, Manling Li, Richard Zemel, Heng Ji, Shih-Fu Chang	N/A	N/A
MIBench: Evaluating Multimodal Large Language Models over Multiple Images	Haowei Liu, Xi Zhang, Haiyang Xu, Yaya Shi, Chaoya Jiang, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu	N/A	N/A
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering	Francesco Maria Molfese, Simone Conia, Riccardo Orlando, Roberto Navigli	N/A	N/A
ABLE: Personalized Disability Support with Politeness and Empathy Integration	Kshitij Mishra, Manisha Burja, Asif Ekbal	N/A	N/A
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models	Hyungjoo Chae, Yeonghyeon Kim, Seungone Kim, Kai Tzu-iunn Ong, Beong-woo Kwak, Moohyeon Kim, Sunghwan Kim, Taeyoon Kwon, Jiwan Chung, Youngjae Yu, Jinyoung Yeo	N/A	N/A
Coffee-Gym: An Environment for Evaluating and Improving Natural Language Feedback on Erroneous Code	Hyungjoo Chae, Taeyoon Kwon, Seungjun Moon, Yongho Song, Dongjin Kang, Kai Tzu-iunn Ong, Beong-woo Kwak, Seonghyeon Bae, seung-won hwang, Jinyoung Yeo	N/A	N/A
Improving Minimum Bayes Risk Decoding with Multi-Prompt	David Heineman, Yao Dou, Wei Xu	N/A	N/A
Deciphering Cognitive Distortions in Patient-Doctor Mental Health Conversations: A Multimodal LLM-Based Detection and Reasoning Framework	gopendra Vikram singh, Sai Vardhan Vemulapalli, Mauajama Firdaus, Asif Ekbal	N/A	N/A
Nearest Neighbor Normalization Improves Multimodal Retrieval	Neil Chowdhury, Franklin Wang, Sumedh Shenoy, Douwe Kiela, Sarah Schwettmann, Tristan Thrush	N/A	N/A
Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference Tuning	Shengguang Wu, Shusheng Yang, Zhenglun Chen, Qi Su	N/A	N/A
LongRAG: A Dual-perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering	Qingfei Zhao, Ruobing Wang, Yukuo Cen, Daren Zha, Shicheng Tan, Yuxiao Dong, Jie Tang	N/A	N/A
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models	Yuxuan Guo, Zhiliang Tian, YIPING SONG, Tianlun Liu, Liang Ding, Dongsheng Li	N/A	N/A
Knowledge Graph Enhanced Large Language Model Editing	Mengqi Zhang, Xiaotian Ye, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen	N/A	N/A
Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews	Sandeep Kumar, Mohit Sahu, Vardhan Gacche, Tirthankar Ghosal, Asif Ekbal	N/A	N/A
Mitigating Open-Vocabulary Caption Hallucinations	Assaf Ben-Kish, Moran Yanuka, Morris Alper, Raja Giryes, Hadar Averbuch-Elor	N/A	N/A
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes	Kosuke Nishida, Kyosuke Nishida, Kuniko Saito	N/A	N/A
ALVIN: Active Learning Via INterpolation	Michalis Korakakis, Andreas Vlachos	N/A	N/A
Filtered Direct Preference Optimization	Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu	N/A	N/A
Instruction Fine-Tuning: Does Prompt Loss Matter?	Mathew Huerta-Enochian, Seung Yong Ko	N/A	N/A
Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia	Tomás Feith, Akhil Arora, Martin Gerlach, Debjit Paul, Robert West	N/A	N/A

ICCV 2021

Title	Author	PDF_Link	Code_URL
AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition	Lei Shi · , · Yifan Zhang · , · Jian Cheng · , · Hanqing Lu	PDF	N/A
C2N: Practical Generative Noise Modeling for Real-World Denoising	Geonwoon Jang · , · Wooseok Lee · , · Sanghyun Son · , · Kyoung Mu Lee	PDF	N/A
Continual Learning on Noisy Data Streams via Self-Purified Replay	Chris Dongjoo Kim · , · Jinseo Jeong · , · Sangwoo Moon · , · Gunhee Kim	PDF	N/A
FOVEA: Foveated Image Magnification for Autonomous Navigation	Chittesh Thavamani · , · Mengtian Li · , · Nicolas Cebron · , · Deva Ramanan	PDF	N/A
PlenOctrees for Real-Time Rendering of Neural Radiance Fields	Alex Yu · , · Ruilong Li · , · Matthew Tancik · , · Hao Li · , · Ren Ng · , · Angjoo Kanazawa	PDF	N/A
Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation	Robin Chan · , · Matthias Rottmann · , · Hanno Gottschalk	PDF	N/A
Specificity-Preserving RGB-D Saliency Detection	Tao Zhou · , · Huazhu Fu · , · Geng Chen · , · Yi Zhou · , · Deng-Ping Fan · , · Ling Shao	PDF	N/A
3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds	Lichen Zhao · , · Daigang Cai · , · Lu Sheng · , · Dong Xu	PDF	N/A
4D-Net for Learned Multi-Modal Alignment	AJ Piergiovanni · , · Vincent Casser · , · Michael S. Ryoo · , · Anelia Angelova	PDF	N/A
Patch Craft: Video Denoising by Deep Modeling and Patch Matching	Gregory Vaksman · , · Michael Elad · , · Peyman Milanfar	PDF	N/A
Image Manipulation Detection by Multi-View Multi-Scale Supervision	Xinru Chen · , · Chengbo Dong · , · Jiaqi Ji · , · Juan Cao · , · Xirong Li	PDF	N/A
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation	Yachao Zhang · , · Yanyun Qu · , · Yuan Xie · , · Zonghao Li · , · Shanshan Zheng · , · Cuihua Li	PDF	N/A
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation	Mikhail Usvyatsov · , · Anastasia Makarova · , · Rafael Ballester-Ripoll · , · Maxim Rakhuba · , · Andreas Krause · , · Konrad Schindler	PDF	N/A
Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval With Partial Query	Guanyu Cai · , · Jun Zhang · , · Xinyang Jiang · , · Yifei Gong · , · Lianghua He · , · Fufu Yu · , · Pai Peng · , · Xiaowei Guo · , · Feiyue Huang · , · Xing Sun	PDF	N/A
EventHands: Real-Time Neural 3D Hand Pose Estimation From an Event Stream	Viktor Rudnev · , · Vladislav Golyanik · , · Jiayi Wang · , · Hans-Peter Seidel · , · Franziska Mueller · , · Mohamed Elgharib · , · Christian Theobalt	PDF	N/A
Composable Augmentation Encoding for Video Representation Learning	Chen Sun · , · Arsha Nagrani · , · Yonglong Tian · , · Cordelia Schmid	PDF	N/A
Exploiting Explanations for Model Inversion Attacks	Xuejun Zhao · , · Wencan Zhang · , · Xiaokui Xiao · , · Brian Lim	PDF	N/A
Semantic Diversity Learning for Zero-Shot Multi-Label Classification	Avi Ben-Cohen · , · Nadav Zamir · , · Emanuel Ben-Baruch · , · Itamar Friedman · , · Lihi Zelnik-Manor	PDF	N/A
Describing and Localizing Multiple Changes With Transformers	Yue Qiu · , · Shintaro Yamamoto · , · Kodai Nakashima · , · Ryota Suzuki · , · Kenji Iwata · , · Hirokatsu Kataoka · , · Yutaka Satoh	PDF	N/A
Score-Based Point Cloud Denoising	Shitong Luo · , · Wei Hu	PDF	N/A
Panoptic Segmentation of Satellite Image Time Series With Convolutional Temporal Attention Networks	Vivien Sainte Fare Garnot · , · Loic Landrieu	PDF	N/A
Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring	Omiros Pantazis · , · Gabriel J. Brostow · , · Kate E. Jones · , · Oisin Mac Aodha	PDF	N/A
Bridging Unsupervised and Supervised Depth From Focus via All-in-Focus Supervision	Ning-Hsu Wang · , · Ren Wang · , · Yu-Lun Liu · , · Yu-Hao Huang · , · Yu-Lin Chang · , · Chia-Ping Chen · , · Kevin Jou	PDF	N/A
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction Without Convolutions	Wenhai Wang · , · Enze Xie · , · Xiang Li · , · Deng-Ping Fan · , · Kaitao Song · , · Ding Liang · , · Tong Lu · , · Ping Luo · , · Ling Shao	PDF	N/A
DOLG: Single-Stage Image Retrieval With Deep Orthogonal Fusion of Local and Global Features	Min Yang · , · Dongliang He · , · Miao Fan · , · Baorong Shi · , · Xuetong Xue · , · Fu Li · , · Errui Ding · , · Jizhou Huang	PDF	N/A
Light Source Guided Single-Image Flare Removal From Unpaired Data	Xiaotian Qiao · , · Gerhard P. Hancke · , · Rynson W.H. Lau	PDF	N/A
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization	Wei Zhu · , · Haitian Zheng · , · Haofu Liao · , · Weijian Li · , · Jiebo Luo	PDF	N/A
Selective Feature Compression for Efficient Activity Recognition Inference	Chunhui Liu · , · Xinyu Li · , · Hao Chen · , · Davide Modolo · , · Joseph Tighe	PDF	N/A
Attention-Based Multi-Reference Learning for Image Super-Resolution	Marco Pesavento · , · Marco Volino · , · Adrian Hilton	PDF	N/A
Spatial-Temporal Transformer for Dynamic Scene Graph Generation	Yuren Cong · , · Wentong Liao · , · Hanno Ackermann · , · Bodo Rosenhahn · , · Michael Ying Yang	PDF	N/A
Deep Transport Network for Unsupervised Video Object Segmentation	Kaihua Zhang · , · Zicheng Zhao · , · Dong Liu · , · Qingshan Liu · , · Bo Liu	PDF	N/A
RDI-Net: Relational Dynamic Inference Networks	Huanyu Wang · , · Songyuan Li · , · Shihao Su · , · Zequn Qin · , · Xi Li	PDF	N/A
Densely Guided Knowledge Distillation Using Multiple Teacher Assistants	Wonchul Son · , · Jaemin Na · , · Junyong Choi · , · Wonjun Hwang	PDF	N/A
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift	Jiefeng Peng · , · Jiqi Zhang · , · Changlin Li · , · Guangrun Wang · , · Xiaodan Liang · , · Liang Lin	PDF	N/A
ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators	Qixing Huang · , · Xiangru Huang · , · Bo Sun · , · Zaiwei Zhang · , · Junfeng Jiang · , · Chandrajit Bajaj	PDF	N/A
Online Refinement of Low-Level Feature Based Activation Map for Weakly Supervised Object Localization	Jinheng Xie · , · Cheng Luo · , · Xiangping Zhu · , · Ziqi Jin · , · Weizeng Lu · , · Linlin Shen	PDF	N/A
Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship Detection	Markos Diomataris · , · Nikolaos Gkanatsios · , · Vassilis Pitsikalis · , · Petros Maragos	PDF	N/A
Long-Term Temporally Consistent Unpaired Video Translation From Simulated Surgical 3D Data	Dominik Rivoir · , · Micha Pfeiffer · , · Reuben Docea · , · Fiona Kolbinger · , · Carina Riediger · , · Jürgen Weitz · , · Stefanie Speidel	PDF	N/A
Bridging the Gap Between Label- and Reference-Based Synthesis in Multi-Attribute Image-to-Image Translation	Qiusheng Huang · , · Zhilin Zheng · , · Xueqi Hu · , · Li Sun · , · Qingli Li	PDF	N/A
A Broad Study on the Transferability of Visual Representations With Contrastive Learning	Ashraful Islam · , · Chun-Fu (Richard) Chen · , · Rameswar Panda · , · Leonid Karlinsky · , · Richard Radke · , · Rogerio Feris	PDF	N/A
TempNet: Online Semantic Segmentation on Large-Scale Point Cloud Series	Yunsong Zhou · , · Hongzi Zhu · , · Chunqin Li · , · Tiankai Cui · , · Shan Chang · , · Minyi Guo	PDF	N/A
Bayesian Deep Basis Fitting for Depth Completion With Uncertainty	Chao Qu · , · Wenxin Liu · , · Camillo J. Taylor	PDF	N/A
Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks	Guangxing Han · , · Yicheng He · , · Shiyuan Huang · , · Jiawei Ma · , · Shih-Fu Chang	PDF	N/A
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting	Xiaohan Ding · , · Tianxiang Hao · , · Jianchao Tan · , · Ji Liu · , · Jungong Han · , · Yuchen Guo · , · Guiguang Ding	PDF	N/A
P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching	Bing Wang · , · Changhao Chen · , · Zhaopeng Cui · , · Jie Qin · , · Chris Xiaoxuan Lu · , · Zhengdi Yu · , · Peijun Zhao · , · Zhen Dong · , · Fan Zhu · , · Niki Trigoni · , · Andrew Markham	PDF	N/A
Generalize Then Adapt: Source-Free Domain Adaptive Semantic Segmentation	Jogendra Nath Kundu · , · Akshay Kulkarni · , · Amit Singh · , · Varun Jampani · , · R. Venkatesh Babu	PDF	N/A
Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation	Xin Hao · , · Sanyuan Zhao · , · Mang Ye · , · Jianbing Shen	PDF	N/A
T-Net: Effective Permutation-Equivariant Network for Two-View Correspondence Learning	Zhen Zhong · , · Guobao Xiao · , · Linxin Zheng · , · Yan Lu · , · Jiayi Ma	PDF	N/A
Temporal Cue Guided Video Highlight Detection With Low-Rank Audio-Visual Fusion	Qinghao Ye · , · Xiyue Shen · , · Yuan Gao · , · Zirui Wang · , · Qi Bi · , · Ping Li · , · Guang Yang	PDF	N/A
Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models	Linjie Li · , · Jie Lei · , · Zhe Gan · , · Jingjing Liu	PDF	N/A
S3VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation	Harsh Rangwani · , · Arihant Jain · , · Sumukh K Aithal · , · R. Venkatesh Babu	PDF	N/A
Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation	Jiabo Huang · , · Yang Liu · , · Shaogang Gong · , · Hailin Jin	PDF	N/A
StructDepth: Leveraging the Structural Regularities for Self-Supervised Indoor Depth Estimation	Boying Li · , · Yuan Huang · , · Zeyu Liu · , · Danping Zou · , · Wenxian Yu	PDF	N/A
Feature Interactive Representation for Point Cloud Registration	Bingli Wu · , · Jie Ma · , · Gaojie Chen · , · Pei An	PDF	N/A
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis	Tiange Xiang · , · Chaoyi Zhang · , · Yang Song · , · Jianhui Yu · , · Weidong Cai	PDF	N/A
LSG-CPD: Coherent Point Drift With Local Surface Geometry for Point Cloud Registration	Weixiao Liu · , · Hongtao Wu · , · Gregory S. Chirikjian	PDF	N/A
ISD: Self-Supervised Learning by Iterative Similarity Distillation	Ajinkya Tejankar · , · Soroush Abbasi Koohpayegani · , · Vipin Pillai · , · Paolo Favaro · , · Hamed Pirsiavash	PDF	N/A
An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation	Rongchang Xie · , · Chunyu Wang · , · Wenjun Zeng · , · Yizhou Wang	PDF	N/A
Self-Supervised Neural Networks for Spectral Snapshot Compressive Imaging	Ziyi Meng · , · Zhenming Yu · , · Kun Xu · , · Xin Yuan	PDF	N/A
Group-Aware Contrastive Regression for Action Quality Assessment	Xumin Yu · , · Yongming Rao · , · Wenliang Zhao · , · Jiwen Lu · , · Jie Zhou	PDF	N/A
The Road To Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation	Yuankai Qi · , · Zizheng Pan · , · Yicong Hong · , · Ming-Hsuan Yang · , · Anton van den Hengel · , · Qi Wu	PDF	N/A
Support-Set Based Cross-Supervision for Video Grounding	Xinpeng Ding · , · Nannan Wang · , · Shiwei Zhang · , · De Cheng · , · Xiaomeng Li · , · Ziyuan Huang · , · Mingqian Tang · , · Xinbo Gao	PDF	N/A
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration	Haobo Jiang · , · Yaqi Shen · , · Jin Xie · , · Jun Li · , · Jianjun Qian · , · Jian Yang	PDF	N/A
Voxel-Based Network for Shape Completion by Leveraging Edge Generation	Xiaogang Wang · , · Marcelo H Ang · , · Gim Hee Lee	PDF	N/A
THUNDR: Transformer-Based 3D Human Reconstruction With Markers	Mihai Zanfir · , · Andrei Zanfir · , · Eduard Gabriel Bazavan · , · William T. Freeman · , · Rahul Sukthankar · , · Cristian Sminchisescu	PDF	N/A
OadTR: Online Action Detection With Transformers	Xiang Wang · , · Shiwei Zhang · , · Zhiwu Qing · , · Yuanjie Shao · , · Zhengrong Zuo · , · Changxin Gao · , · Nong Sang	PDF	N/A
Instance-Level Image Retrieval Using Reranking Transformers	Fuwen Tan · , · Jiangbo Yuan · , · Vicente Ordonez	PDF	N/A
Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image	Zunlei Feng · , · Zhonghua Wang · , · Xinchao Wang · , · Yining Mao · , · Thomas Li · , · Jie Lei · , · Yuexuan Wang · , · Mingli Song	PDF	N/A
Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform	Zhiyuan Mao · , · Nicholas Chimitt · , · Stanley H. Chan	PDF	N/A
Graph Constrained Data Representation Learning for Human Motion Segmentation	Mariella Dimiccoli · , · Lluís Garrido · , · Guillem Rodriguez-Corominas · , · Herwig Wendt	PDF	N/A
Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition	Jian Jia · , · Xiaotang Chen · , · Kaiqi Huang	PDF	N/A
Learning To Stylize Novel Views	Hsin-Ping Huang · , · Hung-Yu Tseng · , · Saurabh Saini · , · Maneesh Singh · , · Ming-Hsuan Yang	PDF	N/A
Morphable Detector for Object Detection on Demand	Xiangyun Zhao · , · Xu Zou · , · Ying Wu	PDF	N/A
Stacked Homography Transformations for Multi-View Pedestrian Detection	Liangchen Song · , · Jialian Wu · , · Ming Yang · , · Qian Zhang · , · Yuan Li · , · Junsong Yuan	PDF	N/A
Env-QA: A Video Question Answering Benchmark for Comprehensive Understanding of Dynamic Environments	Difei Gao · , · Ruiping Wang · , · Ziyi Bai · , · Xilin Chen	PDF	N/A
Region-Aware Contrastive Learning for Semantic Segmentation	Hanzhe Hu · , · Jinshi Cui · , · Liwei Wang	PDF	N/A
Image Retrieval on Real-Life Images With Pre-Trained Vision-and-Language Models	Zheyuan Liu · , · Cristian Rodriguez-Opazo · , · Damien Teney · , · Stephen Gould	PDF	N/A
Self-Supervised Real-to-Sim Scene Generation	Aayush Prakash · , · Shoubhik Debnath · , · Jean-Francois Lafleche · , · Eric Cameracci · , · Gavriel State · , · Stan Birchfield · , · Marc T. Law	PDF	N/A
GP-S3Net: Graph-Based Panoptic Sparse Semantic Segmentation Network	Ryan Razani · , · Ran Cheng · , · Enxu Li · , · Ehsan Taghavi · , · Yuan Ren · , · Liu Bingbing	PDF	N/A
Learning From Noisy Data With Robust Representation Learning	Junnan Li · , · Caiming Xiong · , · Steven C.H. Hoi	PDF	N/A
Self-Supervised 3D Skeleton Action Representation Learning With Motion Consistency and Continuity	Yukun Su · , · Guosheng Lin · , · Qingyao Wu	PDF	N/A
Feature Importance-Aware Transferable Adversarial Attacks	Zhibo Wang · , · Hengchang Guo · , · Zhifei Zhang · , · Wenxin Liu · , · Zhan Qin · , · Kui Ren	PDF	N/A
Exploring Classification Equilibrium in Long-Tailed Object Detection	Chengjian Feng · , · Yujie Zhong · , · Weilin Huang	PDF	N/A
Meta Gradient Adversarial Attack	Zheng Yuan · , · Jie Zhang · , · Yunpei Jia · , · Chuanqi Tan · , · Tao Xue · , · Shiguang Shan	PDF	N/A
Differentiable Convolution Search for Point Cloud Processing	Xing Nie · , · Yongcheng Liu · , · Shaohong Chen · , · Jianlong Chang · , · Chunlei Huo · , · Gaofeng Meng · , · Qi Tian · , · Weiming Hu · , · Chunhong Pan	PDF	N/A
Zero-Shot Day-Night Domain Adaptation With a Physics Prior	Attila Lengyel · , · Sourav Garg · , · Michael Milford · , · Jan C. van Gemert	PDF	N/A
Sketch Your Own GAN	Sheng-Yu Wang · , · David Bau · , · Jun-Yan Zhu	PDF	N/A
Minimal Solutions for Panoramic Stitching Given Gravity Prior	Yaqing Ding · , · Daniel Barath · , · Zuzana Kukelova	PDF	N/A
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis	Andreas Blattmann · , · Timo Milbich · , · Michael Dorkenwald · , · Björn Ommer	PDF	N/A
Neural Radiance Flow for 4D View Synthesis and Video Processing	Yilun Du · , · Yinan Zhang · , · Hong-Xing Yu · , · Joshua B. Tenenbaum · , · Jiajun Wu	PDF	N/A
Assignment-Space-Based Multi-Object Tracking and Segmentation	Anwesa Choudhuri · , · Girish Chowdhary · , · Alexander G. Schwing	PDF	N/A
Vi2CLR: Video and Image for Visual Contrastive Learning of Representation	Ali Diba · , · Vivek Sharma · , · Reza Safdari · , · Dariush Lotfi · , · Saquib Sarfraz · , · Rainer Stiefelhagen · , · Luc Van Gool	PDF	N/A
R-MSFM: Recurrent Multi-Scale Feature Modulation for Monocular Depth Estimating	Zhongkai Zhou · , · Xinnan Fan · , · Pengfei Shi · , · Yuanxue Xin	PDF	N/A
Spatially Conditioned Graphs for Detecting Human-Object Interactions	Frederic Z. Zhang · , · Dylan Campbell · , · Stephen Gould	PDF	N/A
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-Guided Feature Imitation	Lewei Yao · , · Renjie Pi · , · Hang Xu · , · Wei Zhang · , · Zhenguo Li · , · Tong Zhang	PDF	N/A
End-to-End Detection and Pose Estimation of Two Interacting Hands	Dong Uk Kim · , · Kwang In Kim · , · Seungryul Baek	PDF	N/A
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather	Martin Hahner · , · Christos Sakaridis · , · Dengxin Dai · , · Luc Van Gool	PDF	N/A
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better	Bojia Zi · , · Shihao Zhao · , · Xingjun Ma · , · Yu-Gang Jiang	PDF	N/A
Normalization Matters in Weakly Supervised Object Localization	Jeesoo Kim · , · Junsuk Choe · , · Sangdoo Yun · , · Nojun Kwak	PDF	N/A
Joint Inductive and Transductive Learning for Video Object Segmentation	Yunyao Mao · , · Ning Wang · , · Wengang Zhou · , · Houqiang Li	PDF	N/A
Contrast and Order Representations for Video Self-Supervised Learning	Kai Hu · , · Jie Shao · , · Yuan Liu · , · Bhiksha Raj · , · Marios Savvides · , · Zhiqiang Shen	PDF	N/A
Out-of-Core Surface Reconstruction via Global TGV Minimization	Nikolai Poliarnyi	PDF	N/A
Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning	Siyuan Yang · , · Jun Liu · , · Shijian Lu · , · Meng Hwa Er · , · Alex C. Kot	PDF	N/A
Latent Transformations via NeuralODEs for GAN-Based Image Editing	Valentin Khrulkov · , · Leyla Mirvakhabova · , · Ivan Oseledets · , · Artem Babenko	PDF	N/A
DECA: Deep Viewpoint-Equivariant Human Pose Estimation Using Capsule Autoencoders	Nicola Garau · , · Niccolò Bisagno · , · Piotr Bródka · , · Nicola Conci	PDF	N/A
Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice	Erik Jenner · , · Enrique Fita Sanmartín · , · Fred A. Hamprecht	PDF	N/A
Geometry-Free View Synthesis: Transformers and No 3D Priors	Robin Rombach · , · Patrick Esser · , · Björn Ommer	PDF	N/A
Scaling-Up Disentanglement for Image Translation	Aviv Gabbay · , · Yedid Hoshen	PDF	N/A
MeshTalk: 3D Face Animation From Speech Using Cross-Modality Disentanglement	Alexander Richard · , · Michael Zollhöfer · , · Yandong Wen · , · Fernando de la Torre · , · Yaser Sheikh	PDF	N/A
Learning a Single Network for Scale-Arbitrary Super-Resolution	Longguang Wang · , · Yingqian Wang · , · Zaiping Lin · , · Jungang Yang · , · Wei An · , · Yulan Guo	PDF	N/A
Salient Object Ranking With Position-Preserved Attention	Hao Fang · , · Daoxin Zhang · , · Yi Zhang · , · Minghao Chen · , · Jiawei Li · , · Yao Hu · , · Deng Cai · , · Xiaofei He	PDF	N/A
Paint Transformer: Feed Forward Neural Painting With Stroke Prediction	Songhua Liu · , · Tianwei Lin · , · Dongliang He · , · Fu Li · , · Ruifeng Deng · , · Xin Li · , · Errui Ding · , · Hao Wang	PDF	N/A
DetCo: Unsupervised Contrastive Learning for Object Detection	Enze Xie · , · Jian Ding · , · Wenhai Wang · , · Xiaohang Zhan · , · Hang Xu · , · Peize Sun · , · Zhenguo Li · , · Ping Luo	PDF	N/A
PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-Rigid Structure-From-Motion	Haitian Zeng · , · Yuchao Dai · , · Xin Yu · , · Xiaohan Wang · , · Yi Yang	PDF	N/A
YouRefIt: Embodied Reference Understanding With Language and Gesture	Yixin Chen · , · Qing Li · , · Deqian Kong · , · Yik Lun Kei · , · Song-Chun Zhu · , · Tao Gao · , · Yixin Zhu · , · Siyuan Huang	PDF	N/A
Omniscient Video Super-Resolution	Peng Yi · , · Zhongyuan Wang · , · Kui Jiang · , · Junjun Jiang · , · Tao Lu · , · Xin Tian · , · Jiayi Ma	PDF	N/A
Clothing Status Awareness for Long-Term Person Re-Identification	Yan Huang · , · Qiang Wu · , · JingSong Xu · , · Yi Zhong · , · ZhaoXiang Zhang	PDF	N/A
Exploring Temporal Coherence for More General Video Face Forgery Detection	Yinglin Zheng · , · Jianmin Bao · , · Dong Chen · , · Ming Zeng · , · Fang Wen	PDF	N/A
A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning	Muhammad Abdullah Jamal · , · Liqiang Wang · , · Boqing Gong	PDF	N/A
Representative Color Transform for Image Enhancement	Hanul Kim · , · Su-Min Choi · , · Chang-Su Kim · , · Yeong Jun Koh	PDF	N/A
Image Synthesis via Semantic Composition	Yi Wang · , · Lu Qi · , · Ying-Cong Chen · , · Xiangyu Zhang · , · Jiaya Jia	PDF	N/A
Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases	Jan Bednarik · , · Vladimir G. Kim · , · Siddhartha Chaudhuri · , · Shaifali Parashar · , · Mathieu Salzmann · , · Pascal Fua · , · Noam Aigerman	PDF	N/A
Online Continual Learning With Natural Distribution Shifts: An Empirical Study With Visual Data	Zhipeng Cai · , · Ozan Sener · , · Vladlen Koltun	PDF	N/A
Social Fabric: Tubelet Compositions for Video Relation Detection	Shuo Chen · , · Zenglin Shi · , · Pascal Mettes · , · Cees G. M. Snoek	PDF	N/A
On Feature Decorrelation in Self-Supervised Learning	Tianyu Hua · , · Wenxiao Wang · , · Zihui Xue · , · Sucheng Ren · , · Yue Wang · , · Hang Zhao	PDF	N/A
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding	Pengchuan Zhang · , · Xiyang Dai · , · Jianwei Yang · , · Bin Xiao · , · Lu Yuan · , · Lei Zhang · , · Jianfeng Gao	PDF	N/A
Viewing Graph Solvability via Cycle Consistency	Federica Arrigoni · , · Andrea Fusiello · , · Elisa Ricci · , · Tomas Pajdla	PDF	N/A
Low Curvature Activations Reduce Overfitting in Adversarial Training	Vasu Singla · , · Sahil Singla · , · Soheil Feizi · , · David Jacobs	PDF	N/A
SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-Powered Intelligent PhlatCam	Yonggan Fu · , · Yang Zhang · , · Yue Wang · , · Zhihan Lu · , · Vivek Boominathan · , · Ashok Veeraraghavan · , · Yingyan Lin	PDF	N/A
Adaptive Focus for Efficient Video Recognition	Yulin Wang · , · Zhaoxi Chen · , · Haojun Jiang · , · Shiji Song · , · Yizeng Han · , · Gao Huang	PDF	N/A
Audio2Gestures: Generating Diverse Gestures From Speech Audio With Conditional Variational Autoencoders	Jing Li · , · Di Kang · , · Wenjie Pei · , · Xuefei Zhe · , · Ying Zhang · , · Zhenyu He · , · Linchao Bao	PDF	N/A
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution With Skip-Transformer	Peng Xiang · , · Xin Wen · , · Yu-Shen Liu · , · Yan-Pei Cao · , · Pengfei Wan · , · Wen Zheng · , · Zhizhong Han	PDF	N/A
LeViT: A Vision Transformer in ConvNet's Clothing for Faster Inference	Benjamin Graham · , · Alaaeldin El-Nouby · , · Hugo Touvron · , · Pierre Stock · , · Armand Joulin · , · Hervé Jégou · , · Matthijs Douze	PDF	N/A
Active Universal Domain Adaptation	Xinhong Ma · , · Junyu Gao · , · Changsheng Xu	PDF	N/A
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search	Xiangxiang Chu · , · Bo Zhang · , · Ruijun Xu	PDF	N/A
Keep CALM and Improve Visual Feature Attribution	Jae Myung Kim · , · Junsuk Choe · , · Zeynep Akata · , · Seong Joon Oh	PDF	N/A
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition	Rameswar Panda · , · Chun-Fu (Richard) Chen · , · Quanfu Fan · , · Ximeng Sun · , · Kate Saenko · , · Aude Oliva · , · Rogerio Feris	PDF	N/A
Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning.	Yasser Abdelaziz Dahou Djilali · , · Tarun Krishna · , · Kevin McGuinness · , · Noel E. O’Connor	PDF	N/A
An End-to-End Transformer Model for 3D Object Detection	Ishan Misra · , · Rohit Girdhar · , · Armand Joulin	PDF	N/A
Lipschitz Continuity Guided Knowledge Distillation	Yuzhang Shang · , · Bin Duan · , · Ziliang Zong · , · Liqiang Nie · , · Yan Yan	PDF	N/A
Instance Similarity Learning for Unsupervised Feature Representation	Ziwei Wang · , · Yunsong Wang · , · Ziyi Wu · , · Jiwen Lu · , · Jie Zhou	PDF	N/A
Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives	Ben Saunders · , · Necati Cihan Camgoz · , · Richard Bowden	PDF	N/A
DocFormer: End-to-End Transformer for Document Understanding	Srikar Appalaraju · , · Bhavan Jasani · , · Bhargava Urala Kota · , · Yusheng Xie · , · R. Manmatha	PDF	N/A
Spatially-Adaptive Image Restoration Using Distortion-Guided Networks	Kuldeep Purohit · , · Maitreya Suin · , · A. N. Rajagopalan · , · Vishnu Naresh Boddeti	PDF	N/A
Exploiting Sample Correlation for Crowd Counting With Multi-Expert Network	Xinyan Liu · , · Guorong Li · , · Zhenjun Han · , · Weigang Zhang · , · Yifan Yang · , · Qingming Huang · , · Nicu Sebe	PDF	N/A
Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction	Fang Zheng · , · Le Wang · , · Sanping Zhou · , · Wei Tang · , · Zhenxing Niu · , · Nanning Zheng · , · Gang Hua	PDF	N/A
Multi-Scale Matching Networks for Semantic Correspondence	Dongyang Zhao · , · Ziyang Song · , · Zhenghao Ji · , · Gangming Zhao · , · Weifeng Ge · , · Yizhou Yu	PDF	N/A
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions	Oğuz Kaan Yüksel · , · Enis Simsar · , · Ezgi Gülperi Er · , · Pinar Yanardag	PDF	N/A
Few-Shot Visual Relationship Co-Localization	Revant Teotia · , · Vaibhav Mishra · , · Mayank Maheshwari · , · Anand Mishra	PDF	N/A
RFNet: Recurrent Forward Network for Dense Point Cloud Completion	Tianxin Huang · , · Hao Zou · , · Jinhao Cui · , · Xuemeng Yang · , · Mengmeng Wang · , · Xiangrui Zhao · , · Jiangning Zhang · , · Yi Yuan · , · Yifan Xu · , · Yong Liu	PDF	N/A
Towards Better Explanations of Class Activation Mapping	Hyungsik Jung · , · Youngrock Oh	PDF	N/A
Domain Adaptive Video Segmentation via Temporal Consistency Regularization	Dayan Guan · , · Jiaxing Huang · , · Aoran Xiao · , · Shijian Lu	PDF	N/A
PR-Net: Preference Reasoning for Personalized Video Highlight Detection	Runnan Chen · , · Penghao Zhou · , · Wenzhe Wang · , · Nenglun Chen · , · Pai Peng · , · Xing Sun · , · Wenping Wang	PDF	N/A
PoinTr: Diverse Point Cloud Completion With Geometry-Aware Transformers	Xumin Yu · , · Yongming Rao · , · Ziyi Wang · , · Zuyan Liu · , · Jiwen Lu · , · Jie Zhou	PDF	N/A
Learn-To-Race: A Multimodal Control Environment for Autonomous Racing	James Herman · , · Jonathan Francis · , · Siddha Ganju · , · Bingqing Chen · , · Anirudh Koul · , · Abhinav Gupta · , · Alexey Skabelkin · , · Ivan Zhukov · , · Max Kumskoy · , · Eric Nyberg	PDF	N/A
SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition	Hezhen Hu · , · Weichao Zhao · , · Wengang Zhou · , · Yuechen Wang · , · Houqiang Li	PDF	N/A
Improving Low-Precision Network Quantization via Bin Regularization	Tiantian Han · , · Dong Li · , · Ji Liu · , · Lu Tian · , · Yi Shan	PDF	N/A
Probabilistic Modeling for Human Mesh Recovery	Nikos Kolotouros · , · Georgios Pavlakos · , · Dinesh Jayaraman · , · Kostas Daniilidis	PDF	N/A
Distilling Virtual Examples for Long-Tailed Recognition	Yin-Yin He · , · Jianxin Wu · , · Xiu-Shen Wei	PDF	N/A
Understanding and Mitigating Annotation Bias in Facial Expression Recognition	Yunliang Chen · , · Jungseock Joo	PDF	N/A
Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm Under Mixed Illumination	Dongyoung Kim · , · Jinwoo Kim · , · Seonghyeon Nam · , · Dongwoo Lee · , · Yeonkyung Lee · , · Nahyup Kang · , · Hyong-Euk Lee · , · ByungIn Yoo · , · Jae-Joon Han · , · Seon Joo Kim	PDF	N/A
Reality Transform Adversarial Generators for Image Splicing Forgery Detection and Localization	Xiuli Bi · , · Zhipeng Zhang · , · Bin Xiao	PDF	N/A
Learning To Regress Bodies From Images Using Differentiable Semantic Rendering	Sai Kumar Dwivedi · , · Nikos Athanasiou · , · Muhammed Kocabas · , · Michael J. Black	PDF	N/A
Bifold and Semantic Reasoning for Pedestrian Behavior Prediction	Amir Rasouli · , · Mohsen Rohani · , · Jun Luo	PDF	N/A
Learning Target Candidate Association To Keep Track of What Not To Track	Christoph Mayer · , · Martin Danelljan · , · Danda Pani Paudel · , · Luc Van Gool	PDF	N/A
VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction	Jaesung Choe · , · Sunghoon Im · , · Francois Rameau · , · Minjun Kang · , · In So Kweon	PDF	N/A
Black-Box Detection of Backdoor Attacks With Limited Information and Data	Yinpeng Dong · , · Xiao Yang · , · Zhijie Deng · , · Tianyu Pang · , · Zihao Xiao · , · Hang Su · , · Jun Zhu	PDF	N/A
A Robust Loss for Point Cloud Registration	Zhi Deng · , · Yuxin Yao · , · Bailin Deng · , · Juyong Zhang	PDF	N/A
Semantic Concentration for Domain Adaptation	Shuang Li · , · Mixue Xie · , · Fangrui Lv · , · Chi Harold Liu · , · Jian Liang · , · Chen Qin · , · Wei Li	PDF	N/A
PICCOLO: Point Cloud-Centric Omnidirectional Localization	Junho Kim · , · Changwoon Choi · , · Hojun Jang · , · Young Min Kim	PDF	N/A
Distributional Robustness Loss for Long-Tail Learning	Dvir Samuel · , · Gal Chechik	PDF	N/A
NGC: A Unified Framework for Learning With Open-World Noisy Data	Zhi-Fan Wu · , · Tong Wei · , · Jianwen Jiang · , · Chaojie Mao · , · Mingqian Tang · , · Yu-Feng Li	PDF	N/A
Superpoint Network for Point Cloud Oversegmentation	Le Hui · , · Jia Yuan · , · Mingmei Cheng · , · Jin Xie · , · Xiaoya Zhang · , · Jian Yang	PDF	N/A
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving	Chenxu Luo · , · Xiaodong Yang · , · Alan Yuille	PDF	N/A
Looking Here or There? Gaze Following in 360-Degree Images	Yunhao Li · , · Wei Shen · , · Zhongpai Gao · , · Yucheng Zhu · , · Guangtao Zhai · , · Guodong Guo	PDF	N/A
LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning	Bhavya Vasudeva · , · Puneesh Deora · , · Saumik Bhattacharya · , · Umapada Pal · , · Sukalpa Chanda	PDF	N/A
How To Train Neural Networks for Flare Removal	Yicheng Wu · , · Qiurui He · , · Tianfan Xue · , · Rahul Garg · , · Jiawen Chen · , · Ashok Veeraraghavan · , · Jonathan T. Barron	PDF	N/A
Motion Basis Learning for Unsupervised Deep Homography Estimation With Subspace Projection	Nianjin Ye · , · Chuan Wang · , · Haoqiang Fan · , · Shuaicheng Liu	PDF	N/A
DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras	Yang Zheng · , · Ruizhi Shao · , · Yuxiang Zhang · , · Tao Yu · , · Zerong Zheng · , · Qionghai Dai · , · Yebin Liu	PDF	N/A
AI Choreographer: Music Conditioned 3D Dance Generation With AIST++	Ruilong Li · , · Shan Yang · , · David A. Ross · , · Angjoo Kanazawa	PDF	N/A
PU-EVA: An Edge-Vector Based Approximation Solution for Flexible-Scale Point Cloud Upsampling	Luqing Luo · , · Lulu Tang · , · Wanyi Zhou · , · Shizheng Wang · , · Zhi-Xin Yang	PDF	N/A
Spatial Uncertainty-Aware Semi-Supervised Crowd Counting	Yanda Meng · , · Hongrun Zhang · , · Yitian Zhao · , · Xiaoyun Yang · , · Xuesheng Qian · , · Xiaowei Huang · , · Yalin Zheng	PDF	N/A
SurfGen: Adversarial 3D Shape Synthesis With Explicit Surface Discriminators	Andrew Luo · , · Tianqin Li · , · Wen-Hao Zhang · , · Tai Sing Lee	PDF	N/A
TransReID: Transformer-Based Object Re-Identification	Shuting He · , · Hao Luo · , · Pichao Wang · , · Fan Wang · , · Hao Li · , · Wei Jiang	PDF	N/A
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective	Philipp Benz · , · Chaoning Zhang · , · In So Kweon	PDF	N/A
Foreground Activation Maps for Weakly Supervised Object Localization	Meng Meng · , · Tianzhu Zhang · , · Qi Tian · , · Yongdong Zhang · , · Feng Wu	PDF	N/A
Self-Mutual Distillation Learning for Continuous Sign Language Recognition	Aiming Hao · , · Yuecong Min · , · Xilin Chen	PDF	N/A
SOMA: Solving Optical Marker-Based MoCap Automatically	Nima Ghorbani · , · Michael J. Black	PDF	N/A
GLiT: Neural Architecture Search for Global and Local Image Transformer	Boyu Chen · , · Peixia Li · , · Chuming Li · , · Baopu Li · , · Lei Bai · , · Chen Lin · , · Ming Sun · , · Junjie Yan · , · Wanli Ouyang	PDF	N/A
In-the-Wild Single Camera 3D Reconstruction Through Moving Water Surfaces	Jinhui Xiong · , · Wolfgang Heidrich	PDF	N/A
DeepCAD: A Deep Generative Network for Computer-Aided Design Models	Rundi Wu · , · Chang Xiao · , · Changxi Zheng	PDF	N/A
Understanding Robustness of Transformers for Image Classification	Srinadh Bhojanapalli · , · Ayan Chakrabarti · , · Daniel Glasner · , · Daliang Li · , · Thomas Unterthiner · , · Andreas Veit	PDF	N/A
Learning Canonical View Representation for 3D Shape Recognition With Arbitrary Views	Xin Wei · , · Yifei Gong · , · Fudong Wang · , · Xing Sun · , · Jian Sun	PDF	N/A
Fourier Space Losses for Efficient Perceptual Image Super-Resolution	Dario Fuoli · , · Luc Van Gool · , · Radu Timofte	PDF	N/A
A Backdoor Attack Against 3D Point Cloud Classifiers	Zhen Xiang · , · David J. Miller · , · Siheng Chen · , · Xi Li · , · George Kesidis	PDF	N/A
Guided Point Contrastive Learning for Semi-Supervised Point Cloud Semantic Segmentation	Li Jiang · , · Shaoshuai Shi · , · Zhuotao Tian · , · Xin Lai · , · Shu Liu · , · Chi-Wing Fu · , · Jiaya Jia	PDF	N/A
Location-Aware Single Image Reflection Removal	Zheng Dong · , · Ke Xu · , · Yin Yang · , · Hujun Bao · , · Weiwei Xu · , · Rynson W.H. Lau	PDF	N/A
Better Aggregation in Test-Time Augmentation	Divya Shanmugam · , · Davis Blalock · , · Guha Balakrishnan · , · John Guttag	PDF	N/A
Self-Born Wiring for Neural Trees	Ying Chen · , · Feng Mao · , · Jie Song · , · Xinchao Wang · , · Huiqiong Wang · , · Mingli Song	PDF	N/A
DenseTNT: End-to-End Trajectory Prediction From Dense Goal Sets	Junru Gu · , · Chen Sun · , · Hang Zhao	PDF	N/A
Segmentation-Grounded Scene Graph Generation	Siddhesh Khandelwal · , · Mohammed Suhail · , · Leonid Sigal	PDF	N/A
Detector-Free Weakly Supervised Grounding by Separation	Assaf Arbelle · , · Sivan Doveh · , · Amit Alfassy · , · Joseph Shtok · , · Guy Lev · , · Eli Schwartz · , · Hilde Kuehne · , · Hila Barak Levi · , · Prasanna Sattigeri · , · Rameswar Panda · , · Chun-Fu (Richard) Chen · , · Alex Bronstein · , · Kate Saenko · , · Shimon Ullman · , · Raja Giryes · , · Rogerio Feris · , · Leonid Karlinsky	PDF	N/A
Geography-Aware Self-Supervised Learning	Kumar Ayush · , · Burak Uzkent · , · Chenlin Meng · , · Kumar Tanmay · , · Marshall Burke · , · David Lobell · , · Stefano Ermon	PDF	N/A
CrossCLR: Cross-Modal Contrastive Learning for Multi-Modal Video Representations	Mohammadreza Zolfaghari · , · Yi Zhu · , · Peter Gehler · , · Thomas Brox	PDF	N/A
Shape-Aware Multi-Person Pose Estimation From Multi-View Images	Zijian Dong · , · Jie Song · , · Xu Chen · , · Chen Guo · , · Otmar Hilliges	PDF	N/A
Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions	Hyeongseok Son · , · Junyong Lee · , · Sunghyun Cho · , · Seungyong Lee	PDF	N/A
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems	Edwin Vargas · , · Julien N. P. Martel · , · Gordon Wetzstein · , · Henry Arguello	PDF	N/A
Motion-Aware Dynamic Architecture for Efficient Frame Interpolation	Myungsub Choi · , · Suyoung Lee · , · Heewon Kim · , · Kyoung Mu Lee	PDF	N/A
Contrasting Contrastive Self-Supervised Representation Learning Pipelines	Klemen Kotar · , · Gabriel Ilharco · , · Ludwig Schmidt · , · Kiana Ehsani · , · Roozbeh Mottaghi	PDF	N/A
Normalized Human Pose Features for Human Action Video Alignment	Jingyuan Liu · , · Mingyi Shi · , · Qifeng Chen · , · Hongbo Fu · , · Chiew-Lan Tai	PDF	N/A
Learning Hierarchical Graph Neural Networks for Image Clustering	Yifan Xing · , · Tong He · , · Tianjun Xiao · , · Yongxin Wang · , · Yuanjun Xiong · , · Wei Xia · , · David Wipf · , · Zheng Zhang · , · Stefano Soatto	PDF	N/A
Indoor Scene Generation From a Collection of Semantic-Segmented Depth Images	Ming-Jia Yang · , · Yu-Xiao Guo · , · Bin Zhou · , · Xin Tong	PDF	N/A
Keypoint Communities	Duncan Zauss · , · Sven Kreiss · , · Alexandre Alahi	PDF	N/A
Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?	Lijun Wang · , · Yifan Wang · , · Linzhao Wang · , · Yunlong Zhan · , · Ying Wang · , · Huchuan Lu	PDF	N/A
Multi-Task Self-Training for Learning General Representations	Golnaz Ghiasi · , · Barret Zoph · , · Ekin D. Cubuk · , · Quoc V. Le · , · Tsung-Yi Lin	PDF	N/A
Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement	Chuanjun Zheng · , · Daming Shi · , · Wentian Shi	PDF	N/A
Training Weakly Supervised Video Frame Interpolation With Events	Zhiyang Yu · , · Yu Zhang · , · Deyuan Liu · , · Dongqing Zou · , · Xijun Chen · , · Yebin Liu · , · Jimmy S. Ren	PDF	N/A
TransView: Inside, Outside, and Across the Cropping View Boundaries	Zhiyu Pan · , · Zhiguo Cao · , · Kewei Wang · , · Hao Lu · , · Weicai Zhong	PDF	N/A
Vis2Mesh: Efficient Mesh Reconstruction From Unstructured Point Clouds of Large Scenes With Learned Virtual View Visibility	Shuang Song · , · Zhaopeng Cui · , · Rongjun Qin	PDF	N/A
ID-Reveal: Identity-Aware DeepFake Video Detection	Davide Cozzolino · , · Andreas Rössler · , · Justus Thies · , · Matthias Nießner · , · Luisa Verdoliva	PDF	N/A
GAN-Control: Explicitly Controllable GANs	Alon Shoshan · , · Nadav Bhonker · , · Igor Kviatkovsky · , · Gérard Medioni	PDF	N/A
A Closer Look at Rotation-Invariant Deep Point Cloud Analysis	Feiran Li · , · Kent Fujiwara · , · Fumio Okura · , · Yasuyuki Matsushita	PDF	N/A
Relating Adversarially Robust Generalization to Flat Minima	David Stutz · , · Matthias Hein · , · Bernt Schiele	PDF	N/A
Re-Energizing Domain Discriminator With Sample Relabeling for Adversarial Domain Adaptation	Xin Jin · , · Cuiling Lan · , · Wenjun Zeng · , · Zhibo Chen	PDF	N/A
Learning To Adversarially Blur Visual Object Tracking	Qing Guo · , · Ziyi Cheng · , · Felix Juefei-Xu · , · Lei Ma · , · Xiaofei Xie · , · Yang Liu · , · Jianjun Zhao	PDF	N/A
Few-Shot Image Classification: Just Use a Library of Pre-Trained Feature Extractors and a Simple Classifier	Arkabandhu Chowdhury · , · Mingchao Jiang · , · Swarat Chaudhuri · , · Chris Jermaine	PDF	N/A
COMISR: Compression-Informed Video Super-Resolution	Yinxiao Li · , · Pengchong Jin · , · Feng Yang · , · Ce Liu · , · Ming-Hsuan Yang · , · Peyman Milanfar	PDF	N/A
Bit-Mixer: Mixed-Precision Networks With Runtime Bit-Width Selection	Adrian Bulat · , · Georgios Tzimiropoulos	PDF	N/A
Light Field Saliency Detection With Dual Local Graph Learning and Reciprocative Guidance	Nian Liu · , · Wangbo Zhao · , · Dingwen Zhang · , · Junwei Han · , · Ling Shao	PDF	N/A
Finding Representative Interpretations on Convolutional Neural Networks	Peter Cho-Ho Lam · , · Lingyang Chu · , · Maxim Torgonskiy · , · Jian Pei · , · Yong Zhang · , · Lanjun Wang	PDF	N/A
AINet: Association Implantation for Superpixel Segmentation	Yaxiong Wang · , · Yunchao Wei · , · Xueming Qian · , · Li Zhu · , · Yi Yang	PDF	N/A
An Asynchronous Kalman Filter for Hybrid Event Cameras	Ziwei Wang · , · Yonhon Ng · , · Cedric Scheerlinck · , · Robert Mahony	PDF	N/A
Orthogonal Projection Loss	Kanchana Ranasinghe · , · Muzammal Naseer · , · Munawar Hayat · , · Salman Khan · , · Fahad Shahbaz Khan	PDF	N/A
Deep Virtual Markers for Articulated 3D Shapes	Hyomin Kim · , · Jungeon Kim · , · Jaewon Kam · , · Jaesik Park · , · Seungyong Lee	PDF	N/A
Achieving On-Mobile Real-Time Super-Resolution With Neural Architecture and Pruning Search	Zheng Zhan · , · Yifan Gong · , · Pu Zhao · , · Geng Yuan · , · Wei Niu · , · Yushu Wu · , · Tianyun Zhang · , · Malith Jayaweera · , · David Kaeli · , · Bin Ren · , · Xue Lin · , · Yanzhi Wang	PDF	N/A
One-Pass Multi-View Clustering for Large-Scale Data	Jiyuan Liu · , · Xinwang Liu · , · Yuexiang Yang · , · Li Liu · , · Siqi Wang · , · Weixuan Liang · , · Jiangyong Shi	PDF	N/A
Knowledge-Enriched Distributional Model Inversion Attacks	Si Chen · , · Mostafa Kahla · , · Ruoxi Jia · , · Guo-Jun Qi	PDF	N/A
Z-Score Normalization, Hubness, and Few-Shot Learning	Nanyi Fei · , · Yizhao Gao · , · Zhiwu Lu · , · Tao Xiang	PDF	N/A
Dense Interaction Learning for Video-Based Person Re-Identification	Tianyu He · , · Xin Jin · , · Xu Shen · , · Jianqiang Huang · , · Zhibo Chen · , · Xian-Sheng Hua	PDF	N/A
M3D-VTON: A Monocular-to-3D Virtual Try-On Network	Fuwei Zhao · , · Zhenyu Xie · , · Michael Kampffmeyer · , · Haoye Dong · , · Songfang Han · , · Tianxiang Zheng · , · Tao Zhang · , · Xiaodan Liang	PDF	N/A
Explanations for Occluded Images	Hana Chockler · , · Daniel Kroening · , · Youcheng Sun	PDF	N/A
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution	Kai Zhang · , · Jingyun Liang · , · Luc Van Gool · , · Radu Timofte	PDF	N/A
Unshuffling Data for Improved Generalization in Visual Question Answering	Damien Teney · , · Ehsan Abbasnejad · , · Anton van den Hengel	PDF	N/A
Architecture Disentanglement for Deep Neural Networks	Jie Hu · , · Liujuan Cao · , · Tong Tong · , · Qixiang Ye · , · Shengchuan Zhang · , · Ke Li · , · Feiyue Huang · , · Ling Shao · , · Rongrong Ji	PDF	N/A
Instances As Queries	Yuxin Fang · , · Shusheng Yang · , · Xinggang Wang · , · Yu Li · , · Chen Fang · , · Ying Shan · , · Bin Feng · , · Wenyu Liu	PDF	N/A
Omni-GAN: On the Secrets of cGANs and Beyond	Peng Zhou · , · Lingxi Xie · , · Bingbing Ni · , · Cong Geng · , · Qi Tian	PDF	N/A
ACDC: The Adverse Conditions Dataset With Correspondences for Semantic Driving Scene Understanding	Christos Sakaridis · , · Dengxin Dai · , · Luc Van Gool	PDF	N/A
Improving De-Raining Generalization via Neural Reorganization	Jie Xiao · , · Man Zhou · , · Xueyang Fu · , · Aiping Liu · , · Zheng-Jun Zha	PDF	N/A
3D Shape Generation and Completion Through Point-Voxel Diffusion	Linqi Zhou · , · Yilun Du · , · Jiajun Wu	PDF	N/A
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning	Weixin Feng · , · Yuanjiang Wang · , · Lihua Ma · , · Ye Yuan · , · Chi Zhang	PDF	N/A
Self-Conditioned Probabilistic Learning of Video Rescaling	Yuan Tian · , · Guo Lu · , · Xiongkuo Min · , · Zhaohui Che · , · Guangtao Zhai · , · Guodong Guo · , · Zhiyong Gao	PDF	N/A
Unsupervised Image Generation With Infinite Generative Adversarial Networks	Hui Ying · , · He Wang · , · Tianjia Shao · , · Yin Yang · , · Kun Zhou	PDF	N/A
SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation	Kai Chen · , · Qi Dou	PDF	N/A
Inferring High-Resolution Traffic Accident Risk Maps Based on Satellite Imagery and GPS Trajectories	Songtao He · , · Mohammad Amin Sadeghi · , · Sanjay Chawla · , · Mohammad Alizadeh · , · Hari Balakrishnan · , · Samuel Madden	PDF	N/A
Self-Supervised Product Quantization for Deep Unsupervised Image Retrieval	Young Kyun Jang · , · Nam Ik Cho	PDF	N/A
On Equivariant and Invariant Learning of Object Landmark Representations	Zezhou Cheng · , · Jong-Chyi Su · , · Subhransu Maji	PDF	N/A
Rethinking Deep Image Prior for Denoising	Yeonsik Jo · , · Se Young Chun · , · Jonghyun Choi	PDF	N/A
VariTex: Variational Neural Face Textures	Marcel C. Bühler · , · Abhimitra Meka · , · Gengyan Li · , · Thabo Beeler · , · Otmar Hilliges	PDF	N/A
Domain Adaptive Semantic Segmentation With Self-Supervised Depth Estimation	Qin Wang · , · Dengxin Dai · , · Lukas Hoyer · , · Luc Van Gool · , · Olga Fink	PDF	N/A
The Way to My Heart Is Through Contrastive Learning: Remote Photoplethysmography From Unlabelled Video	John Gideon · , · Simon Stent	PDF	N/A
IICNet: A Generic Framework for Reversible Image Conversion	Ka Leong Cheng · , · Yueqi Xie · , · Qifeng Chen	PDF	N/A
Deep Hough Voting for Robust Global Registration	Junha Lee · , · Seungwook Kim · , · Minsu Cho · , · Jaesik Park	PDF	N/A
Image Synthesis From Layout With Locality-Aware Mask Adaption	Zejian Li · , · Jingyu Wu · , · Immanuel Koh · , · Yongchuan Tang · , · Lingyun Sun	PDF	N/A
Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration Without Forgetting	Anna Kukleva · , · Hilde Kuehne · , · Bernt Schiele	PDF	N/A
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace	Zhiyi Pan · , · Peng Jiang · , · Yunhai Wang · , · Changhe Tu · , · Anthony G. Cohn	PDF	N/A
Unsupervised Domain Adaptive 3D Detection With Multi-Level Consistency	Zhipeng Luo · , · Zhongang Cai · , · Changqing Zhou · , · Gongjie Zhang · , · Haiyu Zhao · , · Shuai Yi · , · Shijian Lu · , · Hongsheng Li · , · Shanghang Zhang · , · Ziwei Liu	PDF	N/A
Transporting Causal Mechanisms for Unsupervised Domain Adaptation	Zhongqi Yue · , · Qianru Sun · , · Xian-Sheng Hua · , · Hanwang Zhang	PDF	N/A
Learning To Estimate Hidden Motions With Global Motion Aggregation	Shihao Jiang · , · Dylan Campbell · , · Yao Lu · , · Hongdong Li · , · Richard Hartley	PDF	N/A
Predicting With Confidence on Unseen Distributions	Devin Guillory · , · Vaishaal Shankar · , · Sayna Ebrahimi · , · Trevor Darrell · , · Ludwig Schmidt	PDF	N/A
TAM: Temporal Adaptive Module for Video Recognition	Zhaoyang Liu · , · Limin Wang · , · Wayne Wu · , · Chen Qian · , · Tong Lu	PDF	N/A
Generating Masks From Boxes by Mining Spatio-Temporal Consistencies in Videos	Bin Zhao · , · Goutam Bhat · , · Martin Danelljan · , · Luc Van Gool · , · Radu Timofte	PDF	N/A
TRAR: Routing the Attention Spans in Transformer for Visual Question Answering	Yiyi Zhou · , · Tianhe Ren · , · Chaoyang Zhu · , · Xiaoshuai Sun · , · Jianzhuang Liu · , · Xinghao Ding · , · Mingliang Xu · , · Rongrong Ji	PDF	N/A
Embed Me if You Can: A Geometric Perceptron	Pavlo Melnyk · , · Michael Felsberg · , · Mårten Wadenbäck	PDF	N/A
Learning Rare Category Classifiers on a Tight Labeling Budget	Ravi Teja Mullapudi · , · Fait Poms · , · William R. Mark · , · Deva Ramanan · , · Kayvon Fatahalian	PDF	N/A
Persistent Homology Based Graph Convolution Network for Fine-Grained 3D Shape Segmentation	Chi-Chong Wong · , · Chi-Man Vong	PDF	N/A
Hybrid Neural Fusion for Full-Frame Video Stabilization	Yu-Lun Liu · , · Wei-Sheng Lai · , · Ming-Hsuan Yang · , · Yung-Yu Chuang · , · Jia-Bin Huang	PDF	N/A
HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training With Crafted Input Noise	Souvik Kundu · , · Massoud Pedram · , · Peter A. Beerel	PDF	N/A
CDNet: Centripetal Direction Network for Nuclear Instance Segmentation	Hongliang He · , · Zhongyi Huang · , · Yao Ding · , · Guoli Song · , · Lin Wang · , · Qian Ren · , · Pengxu Wei · , · Zhiqiang Gao · , · Jie Chen	PDF	N/A
3D Human Texture Estimation From a Single Image With Transformers	Xiangyu Xu · , · Chen Change Loy	PDF	N/A
The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation	Xiaoming Zhao · , · Harsh Agrawal · , · Dhruv Batra · , · Alexander G. Schwing	PDF	N/A
Rehearsal Revealed: The Limits and Merits of Revisiting Samples in Continual Learning	Eli Verwimp · , · Matthias De Lange · , · Tinne Tuytelaars	PDF	N/A
Group-Free 3D Object Detection via Transformers	Ze Liu · , · Zheng Zhang · , · Yue Cao · , · Han Hu · , · Xin Tong	PDF	N/A
Discover the Unknown Biased Attribute of an Image Classifier	Zhiheng Li · , · Chenliang Xu	PDF	N/A
Learn To Cluster Faces via Pairwise Classification	Junfu Liu · , · Di Qiu · , · Pengfei Yan · , · Xiaolin Wei	PDF	N/A
DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis	Shulan Ruan · , · Yong Zhang · , · Kun Zhang · , · Yanbo Fan · , · Fan Tang · , · Qi Liu · , · Enhong Chen	PDF	N/A
Learning Facial Representations From the Cycle-Consistency of Face	Jia-Ren Chang · , · Yong-Sheng Chen · , · Wei-Chen Chiu	PDF	N/A
Towards Memory-Efficient Neural Networks via Multi-Level In Situ Generation	Jiaqi Gu · , · Hanqing Zhu · , · Chenghao Feng · , · Mingjie Liu · , · Zixuan Jiang · , · Ray T. Chen · , · David Z. Pan	PDF	N/A
Greedy Gradient Ensemble for Robust Visual Question Answering	Xinzhe Han · , · Shuhui Wang · , · Chi Su · , · Qingming Huang · , · Qi Tian	PDF	N/A
Influence Selection for Active Learning	Zhuoming Liu · , · Hao Ding · , · Huaping Zhong · , · Weijia Li · , · Jifeng Dai · , · Conghui He	PDF	N/A
Visual Alignment Constraint for Continuous Sign Language Recognition	Yuecong Min · , · Aiming Hao · , · Xiujuan Chai · , · Xilin Chen	PDF	N/A
On the Hidden Treasure of Dialog in Video Question Answering	Deniz Engin · , · François Schnitzler · , · Ngoc Q. K. Duong · , · Yannis Avrithis	PDF	N/A
From Culture to Clothing: Discovering the World Events Behind a Century of Fashion Images	Wei-Lin Hsiao · , · Kristen Grauman	PDF	N/A
Contextually Plausible and Diverse 3D Human Motion Prediction	Sadegh Aliakbarian · , · Fatemeh Saleh · , · Lars Petersson · , · Stephen Gould · , · Mathieu Salzmann	PDF	N/A
BN-NAS: Neural Architecture Search With Batch Normalization	Boyu Chen · , · Peixia Li · , · Baopu Li · , · Chen Lin · , · Chuming Li · , · Ming Sun · , · Junjie Yan · , · Wanli Ouyang	PDF	N/A
Condensing a Sequence to One Informative Frame for Video Recognition	Zhaofan Qiu · , · Ting Yao · , · Yan Shu · , · Chong-Wah Ngo · , · Tao Mei	PDF	N/A
The Benefit of Distraction: Denoising Camera-Based Physiological Measurements Using Inverse Attention	Ewa M. Nowara · , · Daniel McDuff · , · Ashok Veeraraghavan	PDF	N/A
Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-Supervised Polyp Segmentation	Huisi Wu · , · Guilian Chen · , · Zhenkun Wen · , · Jing Qin	PDF	N/A
Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings	Viraj Prabhu · , · Arjun Chandrasekaran · , · Kate Saenko · , · Judy Hoffman	PDF	N/A
Detail Me More: Improving GAN's Photo-Realism of Complex Scenes	Raghudeep Gadde · , · Qianli Feng · , · Aleix M. Martinez	PDF	N/A
Rethinking Self-Supervised Correspondence Learning: A Video Frame-Level Similarity Perspective	Jiarui Xu · , · Xiaolong Wang	PDF	N/A
Event Stream Super-Resolution via Spatiotemporal Constraint Learning	Siqi Li · , · Yutong Feng · , · Yipeng Li · , · Yu Jiang · , · Changqing Zou · , · Yue Gao	PDF	N/A
PrimitiveNet: Primitive Instance Segmentation With Local Primitive Embedding Under Adversarial Metric	Jingwei Huang · , · Yanfeng Zhang · , · Mingwei Sun	PDF	N/A
FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting	Rui Liu · , · Hanming Deng · , · Yangyi Huang · , · Xiaoyu Shi · , · Lewei Lu · , · Wenxiu Sun · , · Xiaogang Wang · , · Jifeng Dai · , · Hongsheng Li	PDF	N/A
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation	Yuhang Zang · , · Chen Huang · , · Chen Change Loy	PDF	N/A
Online-Trained Upsampler for Deep Low Complexity Video Compression	Jan P. Klopp · , · Keng-Chi Liu · , · Shao-Yi Chien · , · Liang-Gee Chen	PDF	N/A
DTMNet: A Discrete Tchebichef Moments-Based Deep Neural Network for Multi-Focus Image Fusion	Bin Xiao · , · Haifeng Wu · , · Xiuli Bi	PDF	N/A
Interactive Prototype Learning for Egocentric Action Recognition	Xiaohan Wang · , · Linchao Zhu · , · Heng Wang · , · Yi Yang	PDF	N/A
MBA-VO: Motion Blur Aware Visual Odometry	Peidong Liu · , · Xingxing Zuo · , · Viktor Larsson · , · Marc Pollefeys	PDF	N/A
Co2L: Contrastive Continual Learning	Hyuntak Cha · , · Jaeho Lee · , · Jinwoo Shin	PDF	N/A
STR-GQN: Scene Representation and Rendering for Unknown Cameras Based on Spatial Transformation Routing	Wen-Cheng Chen · , · Min-Chun Hu · , · Chu-Song Chen	PDF	N/A
Unconstrained Scene Generation With Locally Conditioned Radiance Fields	Terrance DeVries · , · Miguel Angel Bautista · , · Nitish Srivastava · , · Graham W. Taylor · , · Joshua M. Susskind	PDF	N/A
3D Human Pose Estimation With Spatial and Temporal Transformers	Ce Zheng · , · Sijie Zhu · , · Matias Mendieta · , · Taojiannan Yang · , · Chen Chen · , · Zhengming Ding	PDF	N/A
Self-Supervised Representation Learning From Flow Equivariance	Yuwen Xiong · , · Mengye Ren · , · Wenyuan Zeng · , · Raquel Urtasun	PDF	N/A
Continual Learning for Image-Based Camera Localization	Shuzhe Wang · , · Zakaria Laskar · , · Iaroslav Melekhov · , · Xiaotian Li · , · Juho Kannala	PDF	N/A
Visual-Textual Attentive Semantic Consistency for Medical Report Generation	Yi Zhou · , · Lei Huang · , · Tao Zhou · , · Huazhu Fu · , · Ling Shao	PDF	N/A
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective With Transformers	Zhaoshuo Li · , · Xingtong Liu · , · Nathan Drenkow · , · Andy Ding · , · Francis X. Creighton · , · Russell H. Taylor · , · Mathias Unberath	PDF	N/A
Augmenting Depth Estimation With Geospatial Context	Scott Workman · , · Hunter Blanton	PDF	N/A
Explaining Local, Global, and Higher-Order Interactions in Deep Learning	Samuel Lerman · , · Charles Venuto · , · Henry Kautz · , · Chenliang Xu	PDF	N/A
Learning Attribute-Driven Disentangled Representations for Interactive Fashion Retrieval	Yuxin Hou · , · Eleonora Vig · , · Michael Donoser · , · Loris Bazzani	PDF	N/A
SemiHand: Semi-Supervised Hand Pose Estimation With Consistency	Linlin Yang · , · Shicheng Chen · , · Angela Yao	PDF	N/A
Efficient Action Recognition via Dynamic Knowledge Propagation	Hanul Kim · , · Mihir Jain · , · Jun-Tae Lee · , · Sungrack Yun · , · Fatih Porikli	PDF	N/A
Bias Loss for Mobile Neural Networks	Lusine Abrahamyan · , · Valentin Ziatchin · , · Yiming Chen · , · Nikos Deligiannis	PDF	N/A
Visual Scene Graphs for Audio Source Separation	Moitreya Chatterjee · , · Jonathan Le Roux · , · Narendra Ahuja · , · Anoop Cherian	PDF	N/A
Beyond Trivial Counterfactual Explanations With Diverse Valuable Explanations	Pau Rodríguez · , · Massimo Caccia · , · Alexandre Lacoste · , · Lee Zamparo · , · Issam Laradji · , · Laurent Charlin · , · David Vazquez	PDF	N/A
Homogeneous Architecture Augmentation for Neural Predictor	Yuqiao Liu · , · Yehui Tang · , · Yanan Sun	PDF	N/A
Co-Scale Conv-Attentional Image Transformers	Weijian Xu · , · Yifan Xu · , · Tyler Chang · , · Zhuowen Tu	PDF	N/A
Impact of Aliasing on Generalization in Deep Convolutional Networks	Cristina Vasconcelos · , · Hugo Larochelle · , · Vincent Dumoulin · , · Rob Romijnders · , · Nicolas Le Roux · , · Ross Goroshin	PDF	N/A
PARE: Part Attention Regressor for 3D Human Body Estimation	Muhammed Kocabas · , · Chun-Hao P. Huang · , · Otmar Hilliges · , · Michael J. Black	PDF	N/A
RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering	Shun Iwase · , · Xingyu Liu · , · Rawal Khirodkar · , · Rio Yokota · , · Kris M. Kitani	PDF	N/A
How To Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild	Okan Köpüklü · , · Maja Taseska · , · Gerhard Rigoll	PDF	N/A
Do Different Deep Metric Learning Losses Lead to Similar Learned Features?	Konstantin Kobs · , · Michael Steininger · , · Andrzej Dulny · , · Andreas Hotho	PDF	N/A
Just Ask: Learning To Answer Questions From Millions of Narrated Videos	Antoine Yang · , · Antoine Miech · , · Josef Sivic · , · Ivan Laptev · , · Cordelia Schmid	PDF	N/A
Towards Face Encryption by Generating Adversarial Identity Masks	Xiao Yang · , · Yinpeng Dong · , · Tianyu Pang · , · Hang Su · , · Jun Zhu · , · Yuefeng Chen · , · Hui Xue	PDF	N/A
UniT: Multimodal Multitask Learning With a Unified Transformer	Ronghang Hu · , · Amanpreet Singh	PDF	N/A
CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing	Daxuan Ren · , · Jianmin Zheng · , · Jianfei Cai · , · Jiatong Li · , · Haiyong Jiang · , · Zhongang Cai · , · Junzhe Zhang · , · Liang Pan · , · Mingyuan Zhang · , · Haiyu Zhao · , · Shuai Yi	PDF	N/A
Compressing Visual-Linguistic Model via Knowledge Distillation	Zhiyuan Fang · , · Jianfeng Wang · , · Xiaowei Hu · , · Lijuan Wang · , · Yezhou Yang · , · Zicheng Liu	PDF	N/A
Full-Duplex Strategy for Video Object Segmentation	Ge-Peng Ji · , · Keren Fu · , · Zhe Wu · , · Deng-Ping Fan · , · Jianbing Shen · , · Ling Shao	PDF	N/A
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples	Mahmoud Assran · , · Mathilde Caron · , · Ishan Misra · , · Piotr Bojanowski · , · Armand Joulin · , · Nicolas Ballas · , · Michael Rabbat	PDF	N/A
Unsupervised Non-Rigid Image Distortion Removal via Grid Deformation	Nianyi Li · , · Simron Thapa · , · Cameron Whyte · , · Albert W. Reed · , · Suren Jayasuriya · , · Jinwei Ye	PDF	N/A
Stochastic Transformer Networks With Linear Competing Units: Application To End-to-End SL Translation	Andreas Voskou · , · Konstantinos P. Panousis · , · Dimitrios Kosmopoulos · , · Dimitris N. Metaxas · , · Sotirios Chatzis	PDF	N/A
BlockCopy: High-Resolution Video Processing With Block-Sparse Feature Propagation and Online Policies	Thomas Verelst · , · Tinne Tuytelaars	PDF	N/A
Telling the What While Pointing to the Where: Multimodal Queries for Image Retrieval	Soravit Changpinyo · , · Jordi Pont-Tuset · , · Vittorio Ferrari · , · Radu Soricut	PDF	N/A
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projections Matching	Chao Chen · , · Zhizhong Han · , · Yu-Shen Liu · , · Matthias Zwicker	PDF	N/A
SS-IL: Separated Softmax for Incremental Learning	Hongjoon Ahn · , · Jihwan Kwak · , · Subin Lim · , · Hyeonsu Bang · , · Hyojun Kim · , · Taesup Moon	PDF	N/A
Multiple Pairwise Ranking Networks for Personalized Video Summarization	Yassir Saquil · , · Da Chen · , · Yuan He · , · Chuan Li · , · Yong-Liang Yang	PDF	N/A
Domain-Invariant Disentangled Network for Generalizable Object Detection	Chuang Lin · , · Zehuan Yuan · , · Sicheng Zhao · , · Peize Sun · , · Changhu Wang · , · Jianfei Cai	PDF	N/A
Social NCE: Contrastive Learning of Socially-Aware Motion Representations	Yuejiang Liu · , · Qi Yan · , · Alexandre Alahi	PDF	N/A
The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation	Guillem Brasó · , · Nikita Kister · , · Laura Leal-Taixé	PDF	N/A
FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters	Yuwei Cheng · , · Jiannan Zhu · , · Mengxin Jiang · , · Jie Fu · , · Changsong Pang · , · Peidong Wang · , · Kris Sankaran · , · Olawale Onabola · , · Yimin Liu · , · Dianbo Liu · , · Yoshua Bengio	PDF	N/A
Robust Trust Region for Weakly Supervised Segmentation	Dmitrii Marin · , · Yuri Boykov	PDF	N/A
imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose	Thiemo Alldieck · , · Hongyi Xu · , · Cristian Sminchisescu	PDF	N/A
Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution	Salma Abdel Magid · , · Yulun Zhang · , · Donglai Wei · , · Won-Dong Jang · , · Zudi Lin · , · Yun Fu · , · Hanspeter Pfister	PDF	N/A
Self-Knowledge Distillation With Progressive Refinement of Targets	Kyungyul Kim · , · ByeongMoon Ji · , · Doyoung Yoon · , · Sangheum Hwang	PDF	N/A
Towards Flexible Blind JPEG Artifacts Removal	Jiaxi Jiang · , · Kai Zhang · , · Radu Timofte	PDF	N/A
Channel-Wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition	Yuxin Chen · , · Ziqi Zhang · , · Chunfeng Yuan · , · Bing Li · , · Ying Deng · , · Weiming Hu	PDF	N/A
VSAC: Efficient and Accurate Estimator for H and F	Maksym Ivashechkin · , · Daniel Barath · , · Jiří Matas	PDF	N/A
HPNet: Deep Primitive Segmentation Using Hybrid Representations	Siming Yan · , · Zhenpei Yang · , · Chongyang Ma · , · Haibin Huang · , · Etienne Vouga · , · Qixing Huang	PDF	N/A
Fusion Moves for Graph Matching	Lisa Hutschenreiter · , · Stefan Haller · , · Lorenz Feineis · , · Carsten Rother · , · Dagmar Kainmüller · , · Bogdan Savchynskyy	PDF	N/A
Universal-Prototype Enhancing for Few-Shot Object Detection	Aming Wu · , · Yahong Han · , · Linchao Zhu · , · Yi Yang	PDF	N/A
I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-Fidelity 3D Hand Mesh Modeling	Ping Chen · , · Yujin Chen · , · Dong Yang · , · Fangyin Wu · , · Qin Li · , · Qingpei Xia · , · Yong Tan	PDF	N/A
Fast Video Moment Retrieval	Junyu Gao · , · Changsheng Xu	PDF	N/A
Self-Supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond	Ming Li · , · Xinming Huang · , · Ziming Zhang	PDF	N/A
With a Little Help From My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations	Debidatta Dwibedi · , · Yusuf Aytar · , · Jonathan Tompson · , · Pierre Sermanet · , · Andrew Zisserman	PDF	N/A
Explainable Person Re-Identification With Attribute-Guided Metric Distillation	Xiaodong Chen · , · Xinchen Liu · , · Wu Liu · , · Xiao-Ping Zhang · , · Yongdong Zhang · , · Tao Mei	PDF	N/A
Motion-Focused Contrastive Learning of Video Representations	Rui Li · , · Yiheng Zhang · , · Zhaofan Qiu · , · Ting Yao · , · Dong Liu · , · Tao Mei	PDF	N/A
Motion Guided Region Message Passing for Video Captioning	Shaoxiang Chen · , · Yu-Gang Jiang	PDF	N/A
Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions	Xiheng Zhang · , · Yongkang Wong · , · Xiaofei Wu · , · Juwei Lu · , · Mohan Kankanhalli · , · Xiangdong Li · , · Weidong Geng	PDF	N/A
Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplar	Peike Li · , · Xin Yu · , · Yi Yang	PDF	N/A
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach	Zeren Sun · , · Yazhou Yao · , · Xiu-Shen Wei · , · Yongshun Zhang · , · Fumin Shen · , · Jianxin Wu · , · Jian Zhang · , · Heng Tao Shen	PDF	N/A
Towards Interpretable Deep Networks for Monocular Depth Estimation	Zunzhi You · , · Yi-Hsuan Tsai · , · Wei-Chen Chiu · , · Guanbin Li	PDF	N/A
Instance Segmentation in 3D Scenes Using Semantic Superpoint Tree Networks	Zhihao Liang · , · Zhihao Li · , · Songcen Xu · , · Mingkui Tan · , · Kui Jia	PDF	N/A
Exploring Cross-Image Pixel Contrast for Semantic Segmentation	Wenguan Wang · , · Tianfei Zhou · , · Fisher Yu · , · Jifeng Dai · , · Ender Konukoglu · , · Luc Van Gool	PDF	N/A
Geometric Granularity Aware Pixel-To-Mesh	Yue Shi · , · Bingbing Ni · , · Jinxian Liu · , · Dingyi Rong · , · Ye Qian · , · Wenjun Zhang	PDF	N/A
Pixel Difference Networks for Efficient Edge Detection	Zhuo Su · , · Wenzhe Liu · , · Zitong Yu · , · Dewen Hu · , · Qing Liao · , · Qi Tian · , · Matti Pietikäinen · , · Li Liu	PDF	N/A
Towards Understanding the Generative Capability of Adversarially Robust Classifiers	Yao Zhu · , · Jiacheng Ma · , · Jiacheng Sun · , · Zewei Chen · , · Rongxin Jiang · , · Yaowu Chen · , · Zhenguo Li	PDF	N/A
Learning Efficient Photometric Feature Transform for Multi-View Stereo	Kaizhang Kang · , · Cihui Xie · , · Ruisheng Zhu · , · Xiaohe Ma · , · Ping Tan · , · Hongzhi Wu · , · Kun Zhou	PDF	N/A
NEAT: Neural Attention Fields for End-to-End Autonomous Driving	Kashyap Chitta · , · Aditya Prakash · , · Andreas Geiger	PDF	N/A
Modulated Periodic Activations for Generalizable Local Functional Representations	Ishit Mehta · , · Michaël Gharbi · , · Connelly Barnes · , · Eli Shechtman · , · Ravi Ramamoorthi · , · Manmohan Chandraker	PDF	N/A
Neural Architecture Search for Joint Human Parsing and Pose Estimation	Dan Zeng · , · Yuhang Huang · , · Qian Bao · , · Junjie Zhang · , · Chi Su · , · Wu Liu	PDF	N/A
Fast Light-Field Disparity Estimation With Multi-Disparity-Scale Cost Aggregation	Zhicong Huang · , · Xuemei Hu · , · Zhou Xue · , · Weizhu Xu · , · Tao Yue	PDF	N/A
SemIE: Semantically-Aware Image Extrapolation	Bholeshwar Khurana · , · Soumya Ranjan Dash · , · Abhishek Bhatia · , · Aniruddha Mahapatra · , · Hrituraj Singh · , · Kuldeep Kulkarni	PDF	N/A
Transformer-Based Dual Relation Graph for Multi-Label Image Recognition	Jiawei Zhao · , · Ke Yan · , · Yifan Zhao · , · Xiaowei Guo · , · Feiyue Huang · , · Jia Li	PDF	N/A
Self-Supervised Transfer Learning for Hand Mesh Recovery From Binocular Images	Zheng Chen · , · Sihan Wang · , · Yi Sun · , · Xiaohong Ma	PDF	N/A
Faster Multi-Object Segmentation Using Parallel Quadratic Pseudo-Boolean Optimization	Niels Jeppesen · , · Patrick M. Jensen · , · Anders N. Christensen · , · Anders B. Dahl · , · Vedrana A. Dahl	PDF	N/A
Partial Off-Policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning	Jiahe Shi · , · Yali Li · , · Shengjin Wang	PDF	N/A
Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation	David Biertimpel · , · Sindi Shkodrani · , · Anil S. Baslamisli · , · Nóra Baka	PDF	N/A
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents	Shivansh Patel · , · Saim Wani · , · Unnat Jain · , · Alexander G. Schwing · , · Svetlana Lazebnik · , · Manolis Savva · , · Angel X. Chang	PDF	N/A
A Dark Flash Normal Camera	Zhihao Xia · , · Jason Lawrence · , · Supreeth Achar	PDF	N/A
Dynamic CT Reconstruction From Limited Views With Implicit Neural Representations and Parametric Motion Fields	Albert W. Reed · , · Hyojin Kim · , · Rushil Anirudh · , · K. Aditya Mohan · , · Kyle Champley · , · Jingu Kang · , · Suren Jayasuriya	PDF	N/A
Diverse Image Style Transfer via Invertible Cross-Space Mapping	Haibo Chen · , · Lei Zhao · , · Huiming Zhang · , · Zhizhong Wang · , · Zhiwen Zuo · , · Ailin Li · , · Wei Xing · , · Dongming Lu	PDF	N/A
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting	Binghui Chen · , · Zhaoyi Yan · , · Ke Li · , · Pengyu Li · , · Biao Wang · , · Wangmeng Zuo · , · Lei Zhang	PDF	N/A
Pri3D: Can 3D Priors Help 2D Representation Learning?	Ji Hou · , · Saining Xie · , · Benjamin Graham · , · Angela Dai · , · Matthias Nießner	PDF	N/A
PoGO-Net: Pose Graph Optimization With Graph Neural Networks	Xinyi Li · , · Haibin Ling	PDF	N/A
Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment	Lin Zhang · , · Yong Luo · , · Yan Bai · , · Bo Du · , · Ling-Yu Duan	PDF	N/A
Self-Supervised Video Object Segmentation by Motion Grouping	Charig Yang · , · Hala Lamdouar · , · Erika Lu · , · Andrew Zisserman · , · Weidi Xie	PDF	N/A
End-to-End Piece-Wise Unwarping of Document Images	Sagnik Das · , · Kunwar Yashraj Singh · , · Jon Wu · , · Erhan Bas · , · Vijay Mahadevan · , · Rahul Bhotika · , · Dimitris Samaras	PDF	N/A
4D Cloud Scattering Tomography	Roi Ronen · , · Yoav Y. Schechner · , · Eshkol Eytan	PDF	N/A
Weakly Supervised Representation Learning With Coarse Labels	Yuanhong Xu · , · Qi Qian · , · Hao Li · , · Rong Jin · , · Juhua Hu	PDF	N/A
Asymmetric Bilateral Motion Estimation for Video Frame Interpolation	Junheum Park · , · Chul Lee · , · Chang-Su Kim	PDF	N/A
LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation	Ruizhi Shao · , · Gaochang Wu · , · Yuemei Zhou · , · Ying Fu · , · Lu Fang · , · Yebin Liu	PDF	N/A
De-Rendering Stylized Texts	Wataru Shimoda · , · Daichi Haraguchi · , · Seiichi Uchida · , · Kota Yamaguchi	PDF	N/A
HRegNet: A Hierarchical Network for Large-Scale Outdoor LiDAR Point Cloud Registration	Fan Lu · , · Guang Chen · , · Yinlong Liu · , · Lijun Zhang · , · Sanqing Qu · , · Shu Liu · , · Rongqi Gu	PDF	N/A
A Latent Transformer for Disentangled Face Editing in Images and Videos	Xu Yao · , · Alasdair Newson · , · Yann Gousseau · , · Pierre Hellier	PDF	N/A
AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis	Yudong Guo · , · Keyu Chen · , · Sen Liang · , · Yong-Jin Liu · , · Hujun Bao · , · Juyong Zhang	PDF	N/A
Graph-Based Asynchronous Event Processing for Rapid Object Recognition	Yijin Li · , · Han Zhou · , · Bangbang Yang · , · Ye Zhang · , · Zhaopeng Cui · , · Hujun Bao · , · Guofeng Zhang	PDF	N/A
Learning With Noisy Labels via Sparse Regularization	Xiong Zhou · , · Xianming Liu · , · Chenyang Wang · , · Deming Zhai · , · Junjun Jiang · , · Xiangyang Ji	PDF	N/A
Leveraging Auxiliary Tasks With Affinity Learning for Weakly Supervised Semantic Segmentation	Lian Xu · , · Wanli Ouyang · , · Mohammed Bennamoun · , · Farid Boussaid · , · Ferdous Sohel · , · Dan Xu	PDF	N/A
Improving 3D Object Detection With Channel-Wise Transformer	Hualian Sheng · , · Sijia Cai · , · Yuan Liu · , · Bing Deng · , · Jianqiang Huang · , · Xian-Sheng Hua · , · Min-Jian Zhao	PDF	N/A
CanvasVAE: Learning To Generate Vector Graphic Documents	Kota Yamaguchi	PDF	N/A
Flow-Guided Video Inpainting With Scene Templates	Dong Lao · , · Peihao Zhu · , · Peter Wonka · , · Ganesh Sundaramoorthi	PDF	N/A
Long Short View Feature Decomposition via Contrastive Video Representation Learning	Nadine Behrmann · , · Mohsen Fayyaz · , · Juergen Gall · , · Mehdi Noroozi	PDF	N/A
TACo: Token-Aware Cascade Contrastive Learning for Video-Text Alignment	Jianwei Yang · , · Yonatan Bisk · , · Jianfeng Gao	PDF	N/A
Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness	Zhenyi Wang · , · Tiehang Duan · , · Le Fang · , · Qiuling Suo · , · Mingchen Gao	PDF	N/A
Ranking Models in Unlabeled New Environments	Xiaoxiao Sun · , · Yunzhong Hou · , · Weijian Deng · , · Hongdong Li · , · Liang Zheng	PDF	N/A
Adaptive Confidence Thresholding for Monocular Depth Estimation	Hyesong Choi · , · Hunsang Lee · , · Sunkyung Kim · , · Sunok Kim · , · Seungryong Kim · , · Kwanghoon Sohn · , · Dongbo Min	PDF	N/A
Embedding Novel Views in a Single JPEG Image	Yue Wu · , · Guotao Meng · , · Qifeng Chen	PDF	N/A
Channel Augmented Joint Learning for Visible-Infrared Recognition	Mang Ye · , · Weijian Ruan · , · Bo Du · , · Mike Zheng Shou	PDF	N/A
OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration	Hao Xu · , · Shuaicheng Liu · , · Guangfu Wang · , · Guanghui Liu · , · Bing Zeng	PDF	N/A
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation	Ailing Zeng · , · Xiao Sun · , · Lei Yang · , · Nanxuan Zhao · , · Minhao Liu · , · Qiang Xu	PDF	N/A
Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation	Xiaofeng Liu · , · Site Li · , · Yubin Ge · , · Pengyi Ye · , · Jane You · , · Jun Lu	PDF	N/A
Learning Anchored Unsigned Distance Functions With Gradient Direction Alignment for Single-View Garment Reconstruction	Fang Zhao · , · Wenhao Wang · , · Shengcai Liao · , · Ling Shao	PDF	N/A
TeachText: CrossModal Generalized Distillation for Text-Video Retrieval	Ioana Croitoru · , · Simion-Vlad Bogolin · , · Marius Leordeanu · , · Hailin Jin · , · Andrew Zisserman · , · Samuel Albanie · , · Yang Liu	PDF	N/A
Geometry Uncertainty Projection Network for Monocular 3D Object Detection	Yan Lu · , · Xinzhu Ma · , · Lei Yang · , · Tianzhu Zhang · , · Yating Liu · , · Qi Chu · , · Junjie Yan · , · Wanli Ouyang	PDF	N/A
OVANet: One-vs-All Network for Universal Domain Adaptation	Kuniaki Saito · , · Kate Saenko	PDF	N/A
A Hybrid Frequency-Spatial Domain Model for Sparse Image Reconstruction in Scanning Transmission Electron Microscopy	Bintao He · , · Fa Zhang · , · Huanshui Zhang · , · Renmin Han	PDF	N/A
Attentional Pyramid Pooling of Salient Visual Residuals for Place Recognition	Guohao Peng · , · Jun Zhang · , · Heshan Li · , · Danwei Wang	PDF	N/A
Learning With Noisy Labels for Robust Point Cloud Segmentation	Shuquan Ye · , · Dongdong Chen · , · Songfang Han · , · Jing Liao	PDF	N/A
Where Are You Heading? Dynamic Trajectory Prediction With Expert Goal Examples	He Zhao · , · Richard P. Wildes	PDF	N/A
Planar Surface Reconstruction From Sparse Views	Linyi Jin · , · Shengyi Qian · , · Andrew Owens · , · David F. Fouhey	PDF	N/A
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation	Xiaogang Xu · , · Hengshuang Zhao · , · Jiaya Jia	PDF	N/A
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing	Yuhang Li · , · Feng Zhu · , · Ruihao Gong · , · Mingzhu Shen · , · Xin Dong · , · Fengwei Yu · , · Shaoqing Lu · , · Shi Gu	PDF	N/A
VidTr: Video Transformer Without Convolutions	Yanyi Zhang · , · Xinyu Li · , · Chunhui Liu · , · Bing Shuai · , · Yi Zhu · , · Biagio Brattoli · , · Hao Chen · , · Ivan Marsic · , · Joseph Tighe	PDF	N/A
LocTex: Learning Data-Efficient Visual Representations From Localized Textual Supervision	Zhijian Liu · , · Simon Stent · , · Jie Li · , · John Gideon · , · Song Han	PDF	N/A
Weakly Supervised Segmentation of Small Buildings With Point Labels	Jae-Hun Lee · , · ChanYoung Kim · , · Sanghoon Sull	PDF	N/A
Online Knowledge Distillation for Efficient Pose Estimation	Zheng Li · , · Jingwen Ye · , · Mingli Song · , · Ying Huang · , · Zhigeng Pan	PDF	N/A
HAA500: Human-Centric Atomic Action Dataset With Curated Videos	Jihoon Chung · , · Cheng-hsin Wuu · , · Hsuan-ru Yang · , · Yu-Wing Tai · , · Chi-Keung Tang	PDF	N/A
Efficient Large Scale Inlier Voting for Geometric Vision Problems	Dror Aiger · , · Simon Lynen · , · Jan Hosang · , · Bernhard Zeisl	PDF	N/A
From Goals, Waypoints & Paths to Long Term Human Trajectory Forecasting	Karttikeya Mangalam · , · Yang An · , · Harshayu Girase · , · Jitendra Malik	PDF	N/A
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence From Box Supervision	Shiyi Lan · , · Zhiding Yu · , · Christopher Choy · , · Subhashree Radhakrishnan · , · Guilin Liu · , · Yuke Zhu · , · Larry S. Davis · , · Anima Anandkumar	PDF	N/A
VENet: Voting Enhancement Network for 3D Object Detection	Qian Xie · , · Yu-Kun Lai · , · Jing Wu · , · Zhoutao Wang · , · Dening Lu · , · Mingqiang Wei · , · Jun Wang	PDF	N/A
Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer	Haoyu Chen · , · Hao Tang · , · Henglin Shi · , · Wei Peng · , · Nicu Sebe · , · Guoying Zhao	PDF	N/A
Aggregation With Feature Detection	Shuyang Sun · , · Xiaoyu Yue · , · Xiaojuan Qi · , · Wanli Ouyang · , · Victor Adrian Prisacariu · , · Philip H.S. Torr	PDF	N/A
Multi-Echo LiDAR for 3D Object Detection	Yunze Man · , · Xinshuo Weng · , · Prasanna Kumar Sivakumar · , · Matthew O'Toole · , · Kris M. Kitani	PDF	N/A
Self-Regulation for Semantic Segmentation	Dong Zhang · , · Hanwang Zhang · , · Jinhui Tang · , · Xian-Sheng Hua · , · Qianru Sun	PDF	N/A
Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery	Zhenbo Yu · , · Junjie Wang · , · Jingwei Xu · , · Bingbing Ni · , · Chenglong Zhao · , · Minsi Wang · , · Wenjun Zhang	PDF	N/A
ReCU: Reviving the Dead Weights in Binary Neural Networks	Zihan Xu · , · Mingbao Lin · , · Jianzhuang Liu · , · Jie Chen · , · Ling Shao · , · Yue Gao · , · Yonghong Tian · , · Rongrong Ji	PDF	N/A
Membership Inference Attacks Are Easier on Difficult Problems	Avital Shafran · , · Shmuel Peleg · , · Yedid Hoshen	PDF	N/A
Auxiliary Tasks and Exploration Enable ObjectGoal Navigation	Joel Ye · , · Dhruv Batra · , · Abhishek Das · , · Erik Wijmans	PDF	N/A
Semantic-Embedded Unsupervised Spectral Reconstruction From Single RGB Images in the Wild	Zhiyu Zhu · , · Hui Liu · , · Junhui Hou · , · Huanqiang Zeng · , · Qingfu Zhang	PDF	N/A
Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization	Linjiang Huang · , · Liang Wang · , · Hongsheng Li	PDF	N/A
MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks	Alexandre Ramé · , · Rémy Sun · , · Matthieu Cord	PDF	N/A
CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization	Ara Jafarzadeh · , · Manuel López Antequera · , · Pau Gargallo · , · Yubin Kuang · , · Carl Toft · , · Fredrik Kahl · , · Torsten Sattler	PDF	N/A
PnP-DETR: Towards Efficient Visual Analysis With Transformers	Tao Wang · , · Li Yuan · , · Yunpeng Chen · , · Jiashi Feng · , · Shuicheng Yan	PDF	N/A
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery	Bin Tan · , · Nan Xue · , · Song Bai · , · Tianfu Wu · , · Gui-Song Xia	PDF	N/A
Concept Generalization in Visual Representation Learning	Mert Bulent Sariyildiz · , · Yannis Kalantidis · , · Diane Larlus · , · Karteek Alahari	PDF	N/A
Unsupervised Segmentation Incorporating Shape Prior via Generative Adversarial Networks	Dahye Kim · , · Byung-Woo Hong	PDF	N/A
DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer	Wenju Xu · , · Chengjiang Long · , · Ruisheng Wang · , · Guanghui Wang	PDF	N/A
Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery	Samir Yitzhak Gadre · , · Kiana Ehsani · , · Shuran Song	PDF	N/A
DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks	Isha Garg · , · Sayeed Shafayet Chowdhury · , · Kaushik Roy	PDF	N/A
Learning To Resize Images for Computer Vision Tasks	Hossein Talebi · , · Peyman Milanfar	PDF	N/A
Self-Supervised Cryo-Electron Tomography Volumetric Image Restoration From Single Noisy Volume With Sparsity Constraint	Zhidong Yang · , · Fa Zhang · , · Renmin Han	PDF	N/A
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization	Dan Hendrycks · , · Steven Basart · , · Norman Mu · , · Saurav Kadavath · , · Frank Wang · , · Evan Dorundo · , · Rahul Desai · , · Tyler Zhu · , · Samyak Parajuli · , · Mike Guo · , · Dawn Song · , · Jacob Steinhardt · , · Justin Gilmer	PDF	N/A
Field of Junctions: Extracting Boundary Structure at Low SNR	Dor Verbin · , · Todd Zickler	PDF	N/A
Crowd Counting With Partial Annotations in an Image	Yanyu Xu · , · Ziming Zhong · , · Dongze Lian · , · Jing Li · , · Zhengxin Li · , · Xinxing Xu · , · Shenghua Gao	PDF	N/A
Continual Neural Mapping: Learning an Implicit Scene Representation From Sequential Observations	Zike Yan · , · Yuxin Tian · , · Xuesong Shi · , · Ping Guo · , · Peng Wang · , · Hongbin Zha	PDF	N/A
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies	Dominic Roberts · , · Ara Danielyan · , · Hang Chu · , · Mani Golparvar-Fard · , · David Forsyth	PDF	N/A
Weakly Supervised Temporal Anomaly Segmentation With Dynamic Time Warping	Dongha Lee · , · Sehun Yu · , · Hyunjun Ju · , · Hwanjo Yu	PDF	N/A
Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition	Yaobin Zhang · , · Weihong Deng · , · Yaoyao Zhong · , · Jiani Hu · , · Xian Li · , · Dongyue Zhao · , · Dongchao Wen	PDF	N/A
Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence	Ronghan Chen · , · Yang Cong · , · Jiahua Dong	PDF	N/A
Learning Action Completeness From Points for Weakly-Supervised Temporal Action Localization	Pilhyeon Lee · , · Hyeran Byun	PDF	N/A
Re-Distributing Biased Pseudo Labels for Semi-Supervised Semantic Segmentation: A Baseline Investigation	Ruifei He · , · Jihan Yang · , · Xiaojuan Qi	PDF	N/A
Visformer: The Vision-Friendly Transformer	Zhengsu Chen · , · Lingxi Xie · , · Jianwei Niu · , · Xuefeng Liu · , · Longhui Wei · , · Qi Tian	PDF	N/A
Learning Indoor Inverse Rendering With 3D Spatially-Varying Lighting	Zian Wang · , · Jonah Philion · , · Sanja Fidler · , · Jan Kautz	PDF	N/A
DeepGaze IIE: Calibrated Prediction in and Out-of-Domain for State-of-the-Art Saliency Modeling	Akis Linardos · , · Matthias Kümmerer · , · Ori Press · , · Matthias Bethge	PDF	N/A
Learning To Drive From a World on Rails	Dian Chen · , · Vladlen Koltun · , · Philipp Krähenbühl	PDF	N/A
Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies	Sida Peng · , · Junting Dong · , · Qianqian Wang · , · Shangzhan Zhang · , · Qing Shuai · , · Xiaowei Zhou · , · Hujun Bao	PDF	N/A
OpenGAN: Open-Set Recognition via Open Data Generation	Shu Kong · , · Deva Ramanan	PDF	N/A
Learning To Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data	Abdullah Abuolaim · , · Mauricio Delbracio · , · Damien Kelly · , · Michael S. Brown · , · Peyman Milanfar	PDF	N/A
Uncertainty-Aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation	Yuxi Wang · , · Junran Peng · , · ZhaoXiang Zhang	PDF	N/A
Mining Contextual Information Beyond Image for Semantic Segmentation	Zhenchao Jin · , · Tao Gong · , · Dongdong Yu · , · Qi Chu · , · Jian Wang · , · Changhu Wang · , · Jie Shao	PDF	N/A
A General Recurrent Tracking Framework Without Real Data	Shuai Wang · , · Hao Sheng · , · Yang Zhang · , · Yubin Wu · , · Zhang Xiong	PDF	N/A
Knowledge Mining and Transferring for Domain Adaptive Object Detection	Kun Tian · , · Chenghao Zhang · , · Ying Wang · , · Shiming Xiang · , · Chunhong Pan	PDF	N/A
Cloud Transformers: A Universal Approach to Point Cloud Processing Tasks	Kirill Mazur · , · Victor Lempitsky	PDF	N/A
TravelNet: Self-Supervised Physically Plausible Hand Motion Learning From Monocular Color Images	Zimeng Zhao · , · Xi Zhao · , · Yangang Wang	PDF	N/A
Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition	Ayan Kumar Bhunia · , · Aneeshan Sain · , · Amandeep Kumar · , · Shuvozit Ghose · , · Pinaki Nath Chowdhury · , · Yi-Zhe Song	PDF	N/A
Video Self-Stitching Graph Network for Temporal Action Localization	Chen Zhao · , · Ali K. Thabet · , · Bernard Ghanem	PDF	N/A
Dynamic Dual Gating Neural Networks	Fanrong Li · , · Gang Li · , · Xiangyu He · , · Jian Cheng	PDF	N/A
Gravity-Aware Monocular 3D Human-Object Reconstruction	Rishabh Dabral · , · Soshi Shimada · , · Arjun Jain · , · Christian Theobalt · , · Vladislav Golyanik	PDF	N/A
Exploring Relational Context for Multi-Task Dense Prediction	David Brüggemann · , · Menelaos Kanakis · , · Anton Obukhov · , · Stamatios Georgoulis · , · Luc Van Gool	PDF	N/A
Going Deeper With Image Transformers	Hugo Touvron · , · Matthieu Cord · , · Alexandre Sablayrolles · , · Gabriel Synnaeve · , · Hervé Jégou	PDF	N/A
UltraPose: Synthesizing Dense Pose With 1 Billion Points by Human-Body Decoupling 3D Model	Haonan Yan · , · Jiaqi Chen · , · Xujie Zhang · , · Shengkai Zhang · , · Nianhong Jiao · , · Xiaodan Liang · , · Tianxiang Zheng	PDF	N/A
Hand Image Understanding via Deep Multi-Task Learning	Xiong Zhang · , · Hongsheng Huang · , · Jianchao Tan · , · Hongmin Xu · , · Cheng Yang · , · Guozhu Peng · , · Lei Wang · , · Ji Liu	PDF	N/A
MFNet: Multi-Filter Directive Network for Weakly Supervised Salient Object Detection	Yongri Piao · , · Jian Wang · , · Miao Zhang · , · Huchuan Lu	PDF	N/A
DRIVE: Deep Reinforced Accident Anticipation With Visual Explanation	Wentao Bao · , · Qi Yu · , · Yu Kong	PDF	N/A
On the Importance of Distractors for Few-Shot Classification	Rajshekhar Das · , · Yu-Xiong Wang · , · José M. F. Moura	PDF	N/A
Zero-Shot Natural Language Video Localization	Jinwoo Nam · , · Daechul Ahn · , · Dongyeop Kang · , · Seong Jong Ha · , · Jonghyun Choi	PDF	N/A
Deep Halftoning With Reversible Binary Pattern	Menghan Xia · , · Wenbo Hu · , · Xueting Liu · , · Tien-Tsin Wong	PDF	N/A
Robustness via Cross-Domain Ensembles	Teresa Yeo · , · Oğuzhan Fatih Kar · , · Amir Zamir	PDF	N/A
Topic Scene Graph Generation by Attention Distillation From Caption	Wenbin Wang · , · Ruiping Wang · , · Xilin Chen	PDF	N/A
FFT-OT: A Fast Algorithm for Optimal Transportation	Na Lei · , · Xianfeng Gu	PDF	N/A
Contrastive Learning for Label Efficient Semantic Segmentation	Xiangyun Zhao · , · Raviteja Vemulapalli · , · Philip Andrew Mansfield · , · Boqing Gong · , · Bradley Green · , · Lior Shapira · , · Ying Wu	PDF	N/A
Progressive Correspondence Pruning by Consensus Learning	Chen Zhao · , · Yixiao Ge · , · Feng Zhu · , · Rui Zhao · , · Hongsheng Li · , · Mathieu Salzmann	PDF	N/A
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation	Thanh-Dat Truong · , · Chi Nhan Duong · , · Ngan Le · , · Son Lam Phung · , · Chase Rainwater · , · Khoa Luu	PDF	N/A
Multiscale Vision Transformers	Haoqi Fan · , · Bo Xiong · , · Karttikeya Mangalam · , · Yanghao Li · , · Zhicheng Yan · , · Jitendra Malik · , · Christoph Feichtenhofer	PDF	N/A
Robust Small Object Detection on the Water Surface Through Fusion of Camera and Millimeter Wave Radar	Yuwei Cheng · , · Hu Xu · , · Yimin Liu	PDF	N/A
Just a Few Points Are All You Need for Multi-View Stereo: A Novel Semi-Supervised Learning Method for Multi-View Stereo	Taekyung Kim · , · Jaehoon Choi · , · Seokeon Choi · , · Dongki Jung · , · Changick Kim	PDF	N/A
Multispectral Illumination Estimation Using Deep Unrolling Network	Yuqi Li · , · Qiang Fu · , · Wolfgang Heidrich	PDF	N/A
GroupFormer: Group Activity Recognition With Clustered Spatial-Temporal Transformer	Shuaicheng Li · , · Qianggang Cao · , · Lingbo Liu · , · Kunlin Yang · , · Shinan Liu · , · Jun Hou · , · Shuai Yi	PDF	N/A
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation	Yahao Liu · , · Jinhong Deng · , · Xinchen Gao · , · Wen Li · , · Lixin Duan	PDF	N/A
TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild	Vida Adeli · , · Mahsa Ehsanpour · , · Ian Reid · , · Juan Carlos Niebles · , · Silvio Savarese · , · Ehsan Adeli · , · Hamid Rezatofighi	PDF	N/A
Conditional DETR for Fast Training Convergence	Depu Meng · , · Xiaokang Chen · , · Zejia Fan · , · Gang Zeng · , · Houqiang Li · , · Yuhui Yuan · , · Lei Sun · , · Jingdong Wang	PDF	N/A
Distilling Global and Local Logits With Densely Connected Relations	Youmin Kim · , · Jinbae Park · , · YounHo Jang · , · Muhammad Ali · , · Tae-Hyun Oh · , · Sung-Ho Bae	PDF	N/A
A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection	Shelly Sheynin · , · Sagie Benaim · , · Lior Wolf	PDF	N/A
MVTN: Multi-View Transformation Network for 3D Shape Recognition	Abdullah Hamdi · , · Silvio Giancola · , · Bernard Ghanem	PDF	N/A
GNeRF: GAN-Based Neural Radiance Field Without Posed Camera	Quan Meng · , · Anpei Chen · , · Haimin Luo · , · Minye Wu · , · Hao Su · , · Lan Xu · , · Xuming He · , · Jingyi Yu	PDF	N/A
ODAM: Object Detection, Association, and Mapping Using Posed RGB Video	Kejie Li · , · Daniel DeTone · , · Yu Fan (Steven) Chen · , · Minh Vo · , · Ian Reid · , · Hamid Rezatofighi · , · Chris Sweeney · , · Julian Straub · , · Richard Newcombe	PDF	N/A
Learning Specialized Activation Functions With the Piecewise Linear Unit	Yucong Zhou · , · Zezhou Zhu · , · Zhao Zhong	PDF	N/A
Viewpoint Invariant Dense Matching for Visual Geolocalization	Gabriele Berton · , · Carlo Masone · , · Valerio Paolicelli · , · Barbara Caputo	PDF	N/A
Dual Contrastive Loss and Attention for GANs	Ning Yu · , · Guilin Liu · , · Aysegul Dundar · , · Andrew Tao · , · Bryan Catanzaro · , · Larry S. Davis · , · Mario Fritz	PDF	N/A
Video Autoencoder: Self-Supervised Disentanglement of Static 3D Structure and Motion	Zihang Lai · , · Sifei Liu · , · Alexei A. Efros · , · Xiaolong Wang	PDF	N/A
Adaptive Convolutions With Per-Pixel Dynamic Filter Atom	Ze Wang · , · Zichen Miao · , · Jun Hu · , · Qiang Qiu	PDF	N/A
Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition	James Hong · , · Matthew Fisher · , · Michaël Gharbi · , · Kayvon Fatahalian	PDF	N/A
Else-Net: Elastic Semantic Network for Continual Action Recognition From Skeleton Data	Tianjiao Li · , · Qiuhong Ke · , · Hossein Rahmani · , · Rui En Ho · , · Henghui Ding · , · Jun Liu	PDF	N/A
Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories	Fait Poms · , · Vishnu Sarukkai · , · Ravi Teja Mullapudi · , · Nimit S. Sohoni · , · William R. Mark · , · Deva Ramanan · , · Kayvon Fatahalian	PDF	N/A
Deep Matching Prior: Test-Time Optimization for Dense Correspondence	Sunghwan Hong · , · Seungryong Kim	PDF	N/A
DualPoseNet: Category-Level 6D Object Pose and Size Estimation Using Dual Pose Network With Refined Learning of Pose Consistency	Jiehong Lin · , · Zewei Wei · , · Zhihao Li · , · Songcen Xu · , · Kui Jia · , · Yuanqing Li	PDF	N/A
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding	Aishwarya Kamath · , · Mannat Singh · , · Yann LeCun · , · Gabriel Synnaeve · , · Ishan Misra · , · Nicolas Carion	PDF	N/A
Calibrated and Partially Calibrated Semi-Generalized Homographies	Snehal Bhayani · , · Torsten Sattler · , · Daniel Barath · , · Patrik Beliansky · , · Janne Heikkilä · , · Zuzana Kukelova	PDF	N/A
End-to-End Video Instance Segmentation via Spatial-Temporal Graph Neural Networks	Tao Wang · , · Ning Xu · , · Kean Chen · , · Weiyao Lin	PDF	N/A
The Surprising Impact of Mask-Head Architecture on Novel Class Segmentation	Vighnesh Birodkar · , · Zhichao Lu · , · Siyang Li · , · Vivek Rathod · , · Jonathan Huang	PDF	N/A
The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data	Cheng Gu · , · Erik Learned-Miller · , · Daniel Sheldon · , · Guillermo Gallego · , · Pia Bideau	PDF	N/A
Learning Self-Similarity in Space and Time As Generalized Motion for Video Action Recognition	Heeseung Kwon · , · Manjin Kim · , · Suha Kwak · , · Minsu Cho	PDF	N/A
Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation	Guile Wu · , · Shaogang Gong	PDF	N/A
CR-Fill: Generative Image Inpainting With Auxiliary Contextual Reconstruction	Yu Zeng · , · Zhe Lin · , · Huchuan Lu · , · Vishal M. Patel	PDF	N/A
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving	Alexander Cui · , · Sergio Casas · , · Abbas Sadat · , · Renjie Liao · , · Raquel Urtasun	PDF	N/A
Causal Attention for Unbiased Visual Recognition	Tan Wang · , · Chang Zhou · , · Qianru Sun · , · Hanwang Zhang	PDF	N/A
EC-DARTS: Inducing Equalized and Consistent Optimization Into DARTS	Qinqin Zhou · , · Xiawu Zheng · , · Liujuan Cao · , · Bineng Zhong · , · Teng Xi · , · Gang Zhang · , · Errui Ding · , · Mingliang Xu · , · Rongrong Ji	PDF	N/A
Detecting Persuasive Atypicality by Modeling Contextual Compatibility	Meiqi Guo · , · Rebecca Hwa · , · Adriana Kovashka	PDF	N/A
Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency	Aditya Ganeshan · , · Alexis Vallet · , · Yasunori Kudo · , · Shin-ichi Maeda · , · Tommi Kerola · , · Rares Ambrus · , · Dennis Park · , · Adrien Gaidon	PDF	N/A
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models	Jooyoung Choi · , · Sungwon Kim · , · Yonghyun Jeong · , · Youngjune Gwon · , · Sungroh Yoon	PDF	N/A
STVGBert: A Visual-Linguistic Transformer Based Framework for Spatio-Temporal Video Grounding	Rui Su · , · Qian Yu · , · Dong Xu	PDF	N/A
Universal Representation Learning From Multiple Domains for Few-Shot Classification	Wei-Hong Li · , · Xialei Liu · , · Hakan Bilen	PDF	N/A
Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning	Kai Huang · , · Jie Geng · , · Wen Jiang · , · Xinyang Deng · , · Zhe Xu	PDF	N/A
Learning Dual Priors for JPEG Compression Artifacts Removal	Xueyang Fu · , · Xi Wang · , · Aiping Liu · , · Junwei Han · , · Zheng-Jun Zha	PDF	N/A
Searching for Two-Stream Models in Multivariate Space for Video Recognition	Xinyu Gong · , · Heng Wang · , · Mike Zheng Shou · , · Matt Feiszli · , · Zhangyang Wang · , · Zhicheng Yan	PDF	N/A
Refining Activation Downsampling With SoftPool	Alexandros Stergiou · , · Ronald Poppe · , · Grigorios Kalliatakis	PDF	N/A
Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing	Garvita Tiwari · , · Nikolaos Sarafianos · , · Tony Tung · , · Gerard Pons-Moll	PDF	N/A
Learning Multiple Pixelwise Tasks Based on Loss Scale Balancing	Jae-Han Lee · , · Chul Lee · , · Chang-Su Kim	PDF	N/A
MLVSNet: Multi-Level Voting Siamese Network for 3D Visual Tracking	Zhoutao Wang · , · Qian Xie · , · Yu-Kun Lai · , · Jing Wu · , · Kun Long · , · Jun Wang	PDF	N/A
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot	Jiarui Cai · , · Yizhou Wang · , · Jenq-Neng Hwang	PDF	N/A
Hyperspectral Image Denoising With Realistic Data	Tao Zhang · , · Ying Fu · , · Cheng Li	PDF	N/A
Collaborative Learning With Disentangled Features for Zero-Shot Domain Adaptation	Won Young Jhoo · , · Jae-Pil Heo	PDF	N/A
Rethinking Noise Synthesis and Modeling in Raw Denoising	Yi Zhang · , · Hongwei Qin · , · Xiaogang Wang · , · Hongsheng Li	PDF	N/A
Disentangled Representation for Age-Invariant Face Recognition: A Mutual Information Minimization Perspective	Xuege Hou · , · Yali Li · , · Shengjin Wang	PDF	N/A
Contact-Aware Retargeting of Skinned Motion	Ruben Villegas · , · Duygu Ceylan · , · Aaron Hertzmann · , · Jimei Yang · , · Jun Saito	PDF	N/A
Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds	Chaoda Zheng · , · Xu Yan · , · Jiantao Gao · , · Weibing Zhao · , · Wei Zhang · , · Zhen Li · , · Shuguang Cui	PDF	N/A
FATNN: Fast and Accurate Ternary Neural Networks	Peng Chen · , · Bohan Zhuang · , · Chunhua Shen	PDF	N/A
Multitask AET With Orthogonal Tangent Regularity for Dark Object Detection	Ziteng Cui · , · Guo-Jun Qi · , · Lin Gu · , · Shaodi You · , · Zenghui Zhang · , · Tatsuya Harada	PDF	N/A
Field-Guide-Inspired Zero-Shot Learning	Utkarsh Mall · , · Bharath Hariharan · , · Kavita Bala	PDF	N/A
Contrastive Attention Maps for Self-Supervised Co-Localization	Minsong Ki · , · Youngjung Uh · , · Junsuk Choe · , · Hyeran Byun	PDF	N/A
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition	Daniela Massiceti · , · Luisa Zintgraf · , · John Bronskill · , · Lida Theodorou · , · Matthew Tobias Harris · , · Edward Cutrell · , · Cecily Morrison · , · Katja Hofmann · , · Simone Stumpf	PDF	N/A
Domain Generalization via Gradient Surgery	Lucas Mansilla · , · Rodrigo Echeveste · , · Diego H. Milone · , · Enzo Ferrante	PDF	N/A
Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation	Tianyi Chen · , · Yi Liu · , · Yunfei Zhang · , · Si Wu · , · Yong Xu · , · Feng Liangbing · , · Hau San Wong	PDF	N/A
Partner-Assisted Learning for Few-Shot Image Classification	Jiawei Ma · , · Hanchen Xie · , · Guangxing Han · , · Shih-Fu Chang · , · Aram Galstyan · , · Wael Abd-Almageed	PDF	N/A
Contrastive Coding for Active Learning Under Class Distribution Mismatch	Pan Du · , · Suyun Zhao · , · Hui Chen · , · Shuwen Chai · , · Hong Chen · , · Cuiping Li	PDF	N/A
Partial Video Domain Adaptation With Partial Adversarial Temporal Attentive Network	Yuecong Xu · , · Jianfei Yang · , · Haozhi Cao · , · Zhenghua Chen · , · Qi Li · , · Kezhi Mao	PDF	N/A
Personalized and Invertible Face De-Identification by Disentangled Identity Information Manipulation	Jingyi Cao · , · Bo Liu · , · Yunqian Wen · , · Rong Xie · , · Li Song	PDF	N/A
Learning Compatible Embeddings	Qiang Meng · , · Chixiang Zhang · , · Xiaoqiang Xu · , · Feng Zhou	PDF	N/A
Seasonal Contrast: Unsupervised Pre-Training From Uncurated Remote Sensing Data	Oscar Mañas · , · Alexandre Lacoste · , · Xavier Giró-i-Nieto · , · David Vazquez · , · Pau Rodríguez	PDF	N/A
Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation	Zechen Bai · , · Yuta Nakashima · , · Noa Garcia	PDF	N/A
Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment	Pengfei Chen · , · Leida Li · , · Jinjian Wu · , · Weisheng Dong · , · Guangming Shi	PDF	N/A
GTT-Net: Learned Generalized Trajectory Triangulation	Xiangyu Xu · , · Enrique Dunn	PDF	N/A
Contrastive Learning of Image Representations With Cross-Video Cycle-Consistency	Haiping Wu · , · Xiaolong Wang	PDF	N/A
Learning To Remove Refractive Distortions From Underwater Images	Simron Thapa · , · Nianyi Li · , · Jinwei Ye	PDF	N/A
BARF: Bundle-Adjusting Neural Radiance Fields	Chen-Hsuan Lin · , · Wei-Chiu Ma · , · Antonio Torralba · , · Simon Lucey	PDF	N/A
Seeking Similarities Over Differences: Similarity-Based Domain Alignment for Adaptive Object Detection	Farzaneh Rezaeianaran · , · Rakshith Shetty · , · Rahaf Aljundi · , · Daniel Olmeda Reino · , · Shanshan Zhang · , · Bernt Schiele	PDF	N/A
LapsCore: Language-Guided Person Search via Color Reasoning	Yushuang Wu · , · Zizheng Yan · , · Xiaoguang Han · , · Guanbin Li · , · Changqing Zou · , · Shuguang Cui	PDF	N/A
Deep Permutation Equivariant Structure From Motion	Dror Moran · , · Hodaya Koslowsky · , · Yoni Kasten · , · Haggai Maron · , · Meirav Galun · , · Ronen Basri	PDF	N/A
Collaborative Unsupervised Visual Representation Learning From Decentralized Data	Weiming Zhuang · , · Xin Gan · , · Yonggang Wen · , · Shuai Zhang · , · Shuai Yi	PDF	N/A
DeepPRO: Deep Partial Point Cloud Registration of Objects	Donghoon Lee · , · Onur C. Hamsici · , · Steven Feng · , · Prachee Sharma · , · Thorsten Gernoth	PDF	N/A
RECALL: Replay-Based Continual Learning in Semantic Segmentation	Andrea Maracani · , · Umberto Michieli · , · Marco Toldo · , · Pietro Zanuttigh	PDF	N/A
Extending Neural P-Frame Codecs for B-Frame Coding	Reza Pourreza · , · Taco Cohen	PDF	N/A
HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering	Fei Liu · , · Jing Liu · , · Weining Wang · , · Hanqing Lu	PDF	N/A
Ensemble Attention Distillation for Privacy-Preserving Federated Learning	Xuan Gong · , · Abhishek Sharma · , · Srikrishna Karanam · , · Ziyan Wu · , · Terrence Chen · , · David Doermann · , · Arun Innanje	PDF	N/A
Voxel Transformer for 3D Object Detection	Jiageng Mao · , · Yujing Xue · , · Minzhe Niu · , · Haoyue Bai · , · Jiashi Feng · , · Xiaodan Liang · , · Hang Xu · , · Chunjing Xu	PDF	N/A
Out-of-Boundary View Synthesis Towards Full-Frame Video Stabilization	Yufei Xu · , · Jing Zhang · , · Dacheng Tao	PDF	N/A
Multimodal Clustering Networks for Self-Supervised Learning From Unlabeled Videos	Brian Chen · , · Andrew Rouditchenko · , · Kevin Duarte · , · Hilde Kuehne · , · Samuel Thomas · , · Angie Boggust · , · Rameswar Panda · , · Brian Kingsbury · , · Rogerio Feris · , · David Harwath · , · James Glass · , · Michael Picheny · , · Shih-Fu Chang	PDF	N/A
Towards a Universal Model for Cross-Dataset Crowd Counting	Zhiheng Ma · , · Xiaopeng Hong · , · Xing Wei · , · Yunfeng Qiu · , · Yihong Gong	PDF	N/A
GAN Inversion for Out-of-Range Images With Geometric Transformations	Kyoungkook Kang · , · Seongtae Kim · , · Sunghyun Cho	PDF	N/A
Scaling Up Instance Annotation via Label Propagation	Dim P. Papadopoulos · , · Ethan Weber · , · Antonio Torralba	PDF	N/A
Learning RAW-to-sRGB Mappings With Inaccurately Aligned Supervision	Zhilu Zhang · , · Haolin Wang · , · Ming Liu · , · Ruohao Wang · , · Jiawei Zhang · , · Wangmeng Zuo	PDF	N/A
Context Reasoning Attention Network for Image Super-Resolution	Yulun Zhang · , · Donglai Wei · , · Can Qin · , · Huan Wang · , · Hanspeter Pfister · , · Yun Fu	PDF	N/A
FastNeRF: High-Fidelity Neural Rendering at 200FPS	Stephan J. Garbin · , · Marek Kowalski · , · Matthew Johnson · , · Jamie Shotton · , · Julien Valentin	PDF	N/A
3DeepCT: Learning Volumetric Scattering Tomography of Clouds	Yael Sde-Chen · , · Yoav Y. Schechner · , · Vadim Holodovsky · , · Eshkol Eytan	PDF	N/A
EvIntSR-Net: Event Guided Multiple Latent Frames Reconstruction and Super-Resolution	Jin Han · , · Yixin Yang · , · Chu Zhou · , · Chao Xu · , · Boxin Shi	PDF	N/A
Deep Structured Instance Graph for Distilling Object Detectors	Yixin Chen · , · Pengguang Chen · , · Shu Liu · , · Liwei Wang · , · Jiaya Jia	PDF	N/A
Adversarial Attacks Are Reversible With Natural Supervision	Chengzhi Mao · , · Mia Chiquier · , · Hao Wang · , · Junfeng Yang · , · Carl Vondrick	PDF	N/A
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning	Chengxiang Yin · , · Kun Wu · , · Zhengping Che · , · Bo Jiang · , · Zhiyuan Xu · , · Jian Tang	PDF	N/A
Semantics Disentangling for Generalized Zero-Shot Learning	Zhi Chen · , · Yadan Luo · , · Ruihong Qiu · , · Sen Wang · , · Zi Huang · , · Jingjing Li · , · Zheng Zhang	PDF	N/A
Space-Time-Separable Graph Convolutional Network for Pose Forecasting	Theodoros Sofianos · , · Alessio Sampieri · , · Luca Franco · , · Fabio Galasso	PDF	N/A
3D-FRONT: 3D Furnished Rooms With layOuts and semaNTics	Huan Fu · , · Bowen Cai · , · Lin Gao · , · Ling-Xiao Zhang · , · Jiaming Wang · , · Cao Li · , · Qixun Zeng · , · Chengyue Sun · , · Rongfei Jia · , · Binqiang Zhao · , · Hao Zhang	PDF	N/A
Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning	Sungyong Baik · , · Janghoon Choi · , · Heewon Kim · , · Dohee Cho · , · Jaesik Min · , · Kyoung Mu Lee	PDF	N/A
Learning To Track Objects From Unlabeled Videos	Jilai Zheng · , · Chao Ma · , · Houwen Peng · , · Xiaokang Yang	PDF	N/A
(Just) A Spoonful of Refinements Helps the Registration Error Go Down	Sérgio Agostinho · , · Aljoša Ošep · , · Alessio Del Bue · , · Laura Leal-Taixé	PDF	N/A
H2O: A Benchmark for Visual Human-Human Object Handover Analysis	Ruolin Ye · , · Wenqiang Xu · , · Zhendong Xue · , · Tutian Tang · , · Yanfeng Wang · , · Cewu Lu	PDF	N/A
ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps	Kunyang Sun · , · Haoqing Shi · , · Zhengming Zhang · , · Yongming Huang	PDF	N/A
Heterogeneous Relational Complement for Vehicle Re-Identification	Jiajian Zhao · , · Yifan Zhao · , · Jia Li · , · Ke Yan · , · Yonghong Tian	PDF	N/A
Hierarchical Object-to-Zone Graph for Object Navigation	Sixian Zhang · , · Xinhang Song · , · Yubing Bai · , · Weijie Li · , · Yakui Chu · , · Shuqiang Jiang	PDF	N/A
Information-Theoretic Regularization for Multi-Source Domain Adaptation	Geon Yeong Park · , · Sang Wan Lee	PDF	N/A
Beyond Road Extraction: A Dataset for Map Update Using Aerial Images	Favyen Bastani · , · Samuel Madden	PDF	N/A
Transfusion: A Novel SLAM Method Focused on Transparent Objects	Yifan Zhu · , · Jiaxiong Qiu · , · Bo Ren	PDF	N/A
Physics-Based Human Motion Estimation and Synthesis From Videos	Kevin Xie · , · Tingwu Wang · , · Umar Iqbal · , · Yunrong Guo · , · Sanja Fidler · , · Florian Shkurti	PDF	N/A
Hierarchical Memory Matching Network for Video Object Segmentation	Hongje Seong · , · Seoung Wug Oh · , · Joon-Young Lee · , · Seongwon Lee · , · Suhyeon Lee · , · Euntai Kim	PDF	N/A
Pathdreamer: A World Model for Indoor Navigation	Jing Yu Koh · , · Honglak Lee · , · Yinfei Yang · , · Jason Baldridge · , · Peter Anderson	PDF	N/A
Saliency-Associated Object Tracking	Zikun Zhou · , · Wenjie Pei · , · Xin Li · , · Hongpeng Wang · , · Feng Zheng · , · Zhenyu He	PDF	N/A
Wanderlust: Online Continual Object Detection in the Real World	Jianren Wang · , · Xin Wang · , · Yue Shang-Guan · , · Abhinav Gupta	PDF	N/A
Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces	Bert Moons · , · Parham Noorzad · , · Andrii Skliar · , · Giovanni Mariani · , · Dushyant Mehta · , · Chris Lott · , · Tijmen Blankevoort	PDF	N/A
Removing Adversarial Noise in Class Activation Feature Space	Dawei Zhou · , · Nannan Wang · , · Chunlei Peng · , · Xinbo Gao · , · Xiaoyu Wang · , · Jun Yu · , · Tongliang Liu	PDF	N/A
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution	Jingyun Liang · , · Guolei Sun · , · Kai Zhang · , · Luc Van Gool · , · Radu Timofte	PDF	N/A
Unifying Nonlocal Blocks for Neural Networks	Lei Zhu · , · Qi She · , · Duo Li · , · Yanye Lu · , · Xuejing Kang · , · Jie Hu · , · Changhu Wang	PDF	N/A
Learning Realistic Human Reposing Using Cyclic Self-Supervision With 3D Shape, Pose, and Appearance Consistency	Soubhik Sanyal · , · Alex Vorobiov · , · Timo Bolkart · , · Matthew Loper · , · Betty Mohler · , · Larry S. Davis · , · Javier Romero · , · Michael J. Black	PDF	N/A
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning	Sonia Baee · , · Erfan Pakdamanian · , · Inki Kim · , · Lu Feng · , · Vicente Ordonez · , · Laura Barnes	PDF	N/A
Simpler Is Better: Few-Shot Semantic Segmentation With Classifier Weight Transformer	Zhihe Lu · , · Sen He · , · Xiatian Zhu · , · Li Zhang · , · Yi-Zhe Song · , · Tao Xiang	PDF	N/A
Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning	Ershad Banijamali · , · Mohsen Rohani · , · Elmira Amirloo · , · Jun Luo · , · Pascal Poupart	PDF	N/A
Scene Synthesis via Uncertainty-Driven Attribute Synchronization	Haitao Yang · , · Zaiwei Zhang · , · Siming Yan · , · Haibin Huang · , · Chongyang Ma · , · Yi Zheng · , · Chandrajit Bajaj · , · Qixing Huang	PDF	N/A
Domain-Aware Universal Style Transfer	Kibeom Hong · , · Seogkyu Jeon · , · Huan Yang · , · Jianlong Fu · , · Hyeran Byun	PDF	N/A
Adversarial Example Detection Using Latent Neighborhood Graph	Ahmed Abusnaina · , · Yuhang Wu · , · Sunpreet Arora · , · Yizhen Wang · , · Fei Wang · , · Hao Yang · , · David Mohaisen	PDF	N/A
Dynamic View Synthesis From Dynamic Monocular Video	Chen Gao · , · Ayush Saraf · , · Johannes Kopf · , · Jia-Bin Huang	PDF	N/A
Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-Identification	Yi Zheng · , · Shixiang Tang · , · Guolong Teng · , · Yixiao Ge · , · Kaijian Liu · , · Jing Qin · , · Donglian Qi · , · Dapeng Chen	PDF	N/A
Learning To Match Features With Seeded Graph Matching Network	Hongkai Chen · , · Zixin Luo · , · Jiahui Zhang · , · Lei Zhou · , · Xuyang Bai · , · Zeyu Hu · , · Chiew-Lan Tai · , · Long Quan	PDF	N/A
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models	Jie Li · , · Rongrong Ji · , · Peixian Chen · , · Baochang Zhang · , · Xiaopeng Hong · , · Ruixin Zhang · , · Shaoxin Li · , · Jilin Li · , · Feiyue Huang · , · Yongjian Wu	PDF	N/A
Anonymizing Egocentric Videos	Daksh Thapar · , · Aditya Nigam · , · Chetan Arora	PDF	N/A
Modulated Graph Convolutional Network for 3D Human Pose Estimation	Zhiming Zou · , · Wei Tang	PDF	N/A
Learning Self-Consistency for Deepfake Detection	Tianchen Zhao · , · Xiang Xu · , · Mingze Xu · , · Hui Ding · , · Yuanjun Xiong · , · Wei Xia	PDF	N/A
PreDet: Large-Scale Weakly Supervised Pre-Training for Detection	Vignesh Ramanathan · , · Rui Wang · , · Dhruv Mahajan	PDF	N/A
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming	Mehrdad Khani · , · Pouya Hamadanian · , · Arash Nasr-Esfahany · , · Mohammad Alizadeh	PDF	N/A
Learning Generative Models of Textured 3D Meshes From Real-World Images	Dario Pavllo · , · Jonas Kohler · , · Thomas Hofmann · , · Aurelien Lucchi	PDF	N/A
Multi-Modality Associative Bridging Through Memory: Speech Sound Recollected From Face Video	Minsu Kim · , · Joanna Hong · , · Se Jin Park · , · Yong Man Ro	PDF	N/A
Warp Consistency for Unsupervised Learning of Dense Correspondences	Prune Truong · , · Martin Danelljan · , · Fisher Yu · , · Luc Van Gool	PDF	N/A
Towards Rotation Invariance in Object Detection	Agastya Kalra · , · Guy Stoppi · , · Bradley Brown · , · Rishav Agarwal · , · Achuta Kadambi	PDF	N/A
Unlocking the Potential of Ordinary Classifier: Class-Specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation	Hyeokjun Kweon · , · Sung-Hoon Yoon · , · Hyeonseong Kim · , · Daehee Park · , · Kuk-Jin Yoon	PDF	N/A
Sparse-to-Dense Feature Matching: Intra and Inter Domain Cross-Modal Learning in Domain Adaptation for 3D Semantic Segmentation	Duo Peng · , · Yinjie Lei · , · Wen Li · , · Pingping Zhang · , · Yulan Guo	PDF	N/A
Toward Spatially Unbiased Generative Models	Jooyoung Choi · , · Jungbeom Lee · , · Yonghyun Jeong · , · Sungroh Yoon	PDF	N/A
ReconfigISP: Reconfigurable Camera Image Processing Pipeline	Ke Yu · , · Zexian Li · , · Yue Peng · , · Chen Change Loy · , · Jinwei Gu	PDF	N/A
Multi-Expert Adversarial Attack Detection in Person Re-Identification Using Context Inconsistency	Xueping Wang · , · Shasha Li · , · Min Liu · , · Yaonan Wang · , · Amit K. Roy-Chowdhury	PDF	N/A
Video Instance Segmentation With a Propose-Reduce Paradigm	Huaijia Lin · , · Ruizheng Wu · , · Shu Liu · , · Jiangbo Lu · , · Jiaya Jia	PDF	N/A
Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection	Jinlei Hou · , · Yingying Zhang · , · Qiaoyong Zhong · , · Di Xie · , · Shiliang Pu · , · Hong Zhou	PDF	N/A
Dense Deep Unfolding Network With 3D-CNN Prior for Snapshot Compressive Imaging	Zhuoyuan Wu · , · Jian Zhang · , · Chong Mou	PDF	N/A
SelfReg: Self-Supervised Contrastive Regularization for Domain Generalization	Daehee Kim · , · Youngjun Yoo · , · Seunghyun Park · , · Jinkyu Kim · , · Jaekoo Lee	PDF	N/A
Towards the Unseen: Iterative Text Recognition by Distilling From Errors	Ayan Kumar Bhunia · , · Pinaki Nath Chowdhury · , · Aneeshan Sain · , · Yi-Zhe Song	PDF	N/A
SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks	Jiapeng Tang · , · Jiabao Lei · , · Dan Xu · , · Feiying Ma · , · Kui Jia · , · Lei Zhang	PDF	N/A
Rethinking Spatial Dimensions of Vision Transformers	Byeongho Heo · , · Sangdoo Yun · , · Dongyoon Han · , · Sanghyuk Chun · , · Junsuk Choe · , · Seong Joon Oh	PDF	N/A
Move2Hear: Active Audio-Visual Source Separation	Sagnik Majumder · , · Ziad Al-Halah · , · Kristen Grauman	PDF	N/A
VIL-100: A New Dataset and a Baseline Model for Video Instance Lane Detection	Yujun Zhang · , · Lei Zhu · , · Wei Feng · , · Huazhu Fu · , · Mingqian Wang · , · Qingxia Li · , · Cheng Li · , · Song Wang	PDF	N/A
Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation	Taosha Fan · , · Kalyan Vasudev Alwala · , · Donglai Xiang · , · Weipeng Xu · , · Todd Murphey · , · Mustafa Mukadam	PDF	N/A
AA-RMVSNet: Adaptive Aggregation Recurrent Multi-View Stereo Network	Zizhuang Wei · , · Qingtian Zhu · , · Chen Min · , · Yisong Chen · , · Guoping Wang	PDF	N/A
ME-PCN: Point Completion Conditioned on Mask Emptiness	Bingchen Gong · , · Yinyu Nie · , · Yiqun Lin · , · Xiaoguang Han · , · Yizhou Yu	PDF	N/A
Full-Body Motion From a Single Head-Mounted Device: Generating SMPL Poses From Partial Observations	Andrea Dittadi · , · Sebastian Dziadzio · , · Darren Cosker · , · Ben Lundell · , · Thomas J. Cashman · , · Jamie Shotton	PDF	N/A
LOKI: Long Term and Key Intentions for Trajectory Prediction	Harshayu Girase · , · Haiming Gang · , · Srikanth Malla · , · Jiachen Li · , · Akira Kanehara · , · Karttikeya Mangalam · , · Chiho Choi	PDF	N/A
Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis	Jianhua Sun · , · Yuxuan Li · , · Hao-Shu Fang · , · Cewu Lu	PDF	N/A
Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation	Yuxiang Wei · , · Yupeng Shi · , · Xiao Liu · , · Zhilong Ji · , · Yuan Gao · , · Zhongqin Wu · , · Wangmeng Zuo	PDF	N/A
SGMNet: Learning Rotation-Invariant Point Cloud Representations via Sorted Gram Matrix	Jianyun Xu · , · Xin Tang · , · Yushi Zhu · , · Jie Sun · , · Shiliang Pu	PDF	N/A
Instance-Wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation	Weilun Wang · , · Wengang Zhou · , · Jianmin Bao · , · Dong Chen · , · Houqiang Li	PDF	N/A
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation	Antoine Saporta · , · Tuan-Hung Vu · , · Matthieu Cord · , · Patrick Pérez	PDF	N/A
SSH: A Self-Supervised Framework for Image Harmonization	Yifan Jiang · , · He Zhang · , · Jianming Zhang · , · Yilin Wang · , · Zhe Lin · , · Kalyan Sunkavalli · , · Simon Chen · , · Sohrab Amirghodsi · , · Sarah Kong · , · Zhangyang Wang	PDF	N/A
Context-Aware Scene Graph Generation With Seq2Seq Transformers	Yichao Lu · , · Himanshu Rai · , · Jason Chang · , · Boris Knyazev · , · Guangwei Yu · , · Shashank Shekhar · , · Graham W. Taylor · , · Maksims Volkovs	PDF	N/A
Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective	Yi Zeng · , · Won Park · , · Z. Morley Mao · , · Ruoxi Jia	PDF	N/A
Learning Multi-Scene Absolute Pose Regression With Transformers	Yoli Shavit · , · Ron Ferens · , · Yosi Keller	PDF	N/A
Self-Supervised 3D Face Reconstruction via Conditional Estimation	Yandong Wen · , · Weiyang Liu · , · Bhiksha Raj · , · Rita Singh	PDF	N/A
Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image	Jaeyoung Yoo · , · Hojun Lee · , · Inseop Chung · , · Geonseok Seo · , · Nojun Kwak	PDF	N/A
Defocus Map Estimation and Deblurring From a Single Dual-Pixel Image	Shumian Xin · , · Neal Wadhwa · , · Tianfan Xue · , · Jonathan T. Barron · , · Pratul P. Srinivasan · , · Jiawen Chen · , · Ioannis Gkioulekas · , · Rahul Garg	PDF	N/A
DivAug: Plug-In Automated Data Augmentation With Explicit Diversity Maximization	Zirui Liu · , · Haifeng Jin · , · Ting-Hsiang Wang · , · Kaixiong Zhou · , · Xia Hu	PDF	N/A
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation	Zeyu Hu · , · Xuyang Bai · , · Jiaxiang Shang · , · Runze Zhang · , · Jiayu Dong · , · Xin Wang · , · Guangyuan Sun · , · Hongbo Fu · , · Chiew-Lan Tai	PDF	N/A
FMODetect: Robust Detection of Fast Moving Objects	Denys Rozumnyi · , · Jiří Matas · , · Filip Šroubek · , · Marc Pollefeys · , · Martin R. Oswald	PDF	N/A
VideoLT: Large-Scale Long-Tailed Video Recognition	Xing Zhang · , · Zuxuan Wu · , · Zejia Weng · , · Huazhu Fu · , · Jingjing Chen · , · Yu-Gang Jiang · , · Larry S. Davis	PDF	N/A
Self-Supervised Monocular Depth Estimation for All Day Images Using Domain Separation	Lina Liu · , · Xibin Song · , · Mengmeng Wang · , · Yong Liu · , · Liangjun Zhang	PDF	N/A
An Empirical Study of Training Self-Supervised Vision Transformers	Xinlei Chen · , · Saining Xie · , · Kaiming He	PDF	N/A
RangeDet: In Defense of Range View for LiDAR-Based 3D Object Detection	Lue Fan · , · Xuan Xiong · , · Feng Wang · , · Naiyan Wang · , · ZhaoXiang Zhang	PDF	N/A
Data-Free Universal Adversarial Perturbation and Black-Box Attack	Chaoning Zhang · , · Philipp Benz · , · Adil Karjauv · , · In So Kweon	PDF	N/A
Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision	Liangke Gui · , · Adrien Bardes · , · Ruslan Salakhutdinov · , · Alexander Hauptmann · , · Martial Hebert · , · Yu-Xiong Wang	PDF	N/A
Multiresolution Deep Implicit Functions for 3D Shape Representation	Zhang Chen · , · Yinda Zhang · , · Kyle Genova · , · Sean Fanello · , · Sofien Bouaziz · , · Christian Häne · , · Ruofei Du · , · Cem Keskin · , · Thomas Funkhouser · , · Danhang Tang	PDF	N/A
Single-Shot Hyperspectral-Depth Imaging With Learned Diffractive Optics	Seung-Hwan Baek · , · Hayato Ikoma · , · Daniel S. Jeon · , · Yuqi Li · , · Wolfgang Heidrich · , · Gordon Wetzstein · , · Min H. Kim	PDF	N/A
Discriminative Region-Based Multi-Label Zero-Shot Learning	Sanath Narayan · , · Akshita Gupta · , · Salman Khan · , · Fahad Shahbaz Khan · , · Ling Shao · , · Mubarak Shah	PDF	N/A
FaPN: Feature-Aligned Pyramid Network for Dense Image Prediction	Shihua Huang · , · Zhichao Lu · , · Ran Cheng · , · Cheng He	PDF	N/A
Personalized Trajectory Prediction via Distribution Discrimination	Guangyi Chen · , · Junlong Li · , · Nuoxing Zhou · , · Liangliang Ren · , · Jiwen Lu	PDF	N/A
GridToPix: Training Embodied Agents With Minimal Supervision	Unnat Jain · , · Iou-Jen Liu · , · Svetlana Lazebnik · , · Aniruddha Kembhavi · , · Luca Weihs · , · Alexander G. Schwing	PDF	N/A
On the Robustness of Vision Transformers to Adversarial Examples	Kaleel Mahmood · , · Rigel Mahmood · , · Marten van Dijk	PDF	N/A
HiFT: Hierarchical Feature Transformer for Aerial Tracking	Ziang Cao · , · Changhong Fu · , · Junjie Ye · , · Bowen Li · , · Yiming Li	PDF	N/A
Tokens-to-Token ViT: Training Vision Transformers From Scratch on ImageNet	Li Yuan · , · Yunpeng Chen · , · Tao Wang · , · Weihao Yu · , · Yujun Shi · , · Zi-Hang Jiang · , · Francis E.H. Tay · , · Jiashi Feng · , · Shuicheng Yan	PDF	N/A
Teacher-Student Adversarial Depth Hallucination To Improve Face Recognition	Hardik Uppal · , · Alireza Sepas-Moghaddam · , · Michael Greenspan · , · Ali Etemad	PDF	N/A
Interaction via Bi-Directional Graph of Semantic Region Affinity for Scene Parsing	Henghui Ding · , · Hui Zhang · , · Jun Liu · , · Jiaxin Li · , · Zijian Feng · , · Xudong Jiang	PDF	N/A
Online Multi-Granularity Distillation for GAN Compression	Yuxi Ren · , · Jie Wu · , · Xuefeng Xiao · , · Jianchao Yang	PDF	N/A
Influence-Balanced Loss for Imbalanced Visual Classification	Seulki Park · , · Jongin Lim · , · Younghan Jeon · , · Jin Young Choi	PDF	N/A
Consistency-Aware Graph Network for Human Interaction Understanding	Zhenhua Wang · , · Jiajun Meng · , · Dongyan Guo · , · Jianhua Zhang · , · Javen Qinfeng Shi · , · Shengyong Chen	PDF	N/A
Where2Act: From Pixels to Actions for Articulated 3D Objects	Kaichun Mo · , · Leonidas J. Guibas · , · Mustafa Mukadam · , · Abhinav Gupta · , · Shubham Tulsiani	PDF	N/A
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision	Xiaoshi Wu · , · Hadar Averbuch-Elor · , · Jin Sun · , · Noah Snavely	PDF	N/A
End-to-End Unsupervised Document Image Blind Denoising	Mehrdad J. Gangeh · , · Marcin Plata · , · Hamid R. Motahari Nezhad · , · Nigel P Duffy	PDF	N/A
Differentiable Dynamic Wirings for Neural Networks	Kun Yuan · , · Quanquan Li · , · Shaopeng Guo · , · Dapeng Chen · , · Aojun Zhou · , · Fengwei Yu · , · Ziwei Liu	PDF	N/A
A Simple Framework for 3D Lensless Imaging With Programmable Masks	Yucheng Zheng · , · Yi Hua · , · Aswin C. Sankaranarayanan · , · M. Salman Asif	PDF	N/A
Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-On and Outfit Editing	Aiyu Cui · , · Daniel McKee · , · Svetlana Lazebnik	PDF	N/A
Attack As the Best Defense: Nullifying Image-to-Image Translation GANs via Limit-Aware Adversarial Attack	Chin-Yuan Yeh · , · Hsi-Wen Chen · , · Hong-Han Shuai · , · De-Nian Yang · , · Ming-Syan Chen	PDF	N/A
Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance	Xiaohan Yu · , · Yang Zhao · , · Yongsheng Gao · , · Xiaohui Yuan · , · Shengwu Xiong	PDF	N/A
JEM++: Improved Techniques for Training JEM	Xiulong Yang · , · Shihao Ji	PDF	N/A
Contrast and Classify: Training Robust VQA Models	Yash Kant · , · Abhinav Moudgil · , · Dhruv Batra · , · Devi Parikh · , · Harsh Agrawal	PDF	N/A
Photon-Starved Scene Inference Using Single Photon Cameras	Bhavya Goyal · , · Mohit Gupta	PDF	N/A
Towards Learning Spatially Discriminative Feature Representations	Chaofei Wang · , · Jiayu Xiao · , · Yizeng Han · , · Qisen Yang · , · Shiji Song · , · Gao Huang	PDF	N/A
Pyramid Spatial-Temporal Aggregation for Video-Based Person Re-Identification	Yingquan Wang · , · Pingping Zhang · , · Shang Gao · , · Xia Geng · , · Hu Lu · , · Dong Wang	PDF	N/A
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation	Yukun Su · , · Ruizhou Sun · , · Guosheng Lin · , · Qingyao Wu	PDF	N/A
CAPTRA: CAtegory-Level Pose Tracking for Rigid and Articulated Objects From Point Clouds	Yijia Weng · , · He Wang · , · Qiang Zhou · , · Yuzhe Qin · , · Yueqi Duan · , · Qingnan Fan · , · Baoquan Chen · , · Hao Su · , · Leonidas J. Guibas	PDF	N/A
X-World: Accessibility, Vision, and Autonomy Meet	Jimuyang Zhang · , · Minglan Zheng · , · Matthew Boyd · , · Eshed Ohn-Bar	PDF	N/A
Target Adaptive Context Aggregation for Video Scene Graph Generation	Yao Teng · , · Limin Wang · , · Zhifeng Li · , · Gangshan Wu	PDF	N/A
Learnable Boundary Guided Adversarial Training	Jiequan Cui · , · Shu Liu · , · Liwei Wang · , · Jiaya Jia	PDF	N/A
Memory-Augmented Dynamic Neural Relational Inference	Dong Gong · , · Frederic Z. Zhang · , · Javen Qinfeng Shi · , · Anton van den Hengel	PDF	N/A
Physics-Based Differentiable Depth Sensor Simulation	Benjamin Planche · , · Rajat Vikram Singh	PDF	N/A
Temporal Action Detection With Multi-Level Supervision	Baifeng Shi · , · Qi Dai · , · Judy Hoffman · , · Kate Saenko · , · Trevor Darrell · , · Huijuan Xu	PDF	N/A
FACIAL: Synthesizing Dynamic Talking Face With Implicit Attribute Learning	Chenxu Zhang · , · Yifan Zhao · , · Yifei Huang · , · Ming Zeng · , · Saifeng Ni · , · Madhukar Budagavi · , · Xiaohu Guo	PDF	N/A
Unsupervised Deep Video Denoising	Dev Yashpal Sheth · , · Sreyas Mohan · , · Joshua L. Vincent · , · Ramon Manzorro · , · Peter A. Crozier · , · Mitesh M. Khapra · , · Eero P. Simoncelli · , · Carlos Fernandez-Granda	PDF	N/A
Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths	Andrea Hornakova · , · Timo Kaiser · , · Paul Swoboda · , · Michal Rolinek · , · Bodo Rosenhahn · , · Roberto Henschel	PDF	N/A
TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving	Soumi Das · , · Harikrishna Patibandla · , · Suparna Bhattacharya · , · Kshounis Bera · , · Niloy Ganguly · , · Sourangshu Bhattacharya	PDF	N/A
Efficient Visual Pretraining With Contrastive Detection	Olivier J. Hénaff · , · Skanda Koppula · , · Jean-Baptiste Alayrac · , · Aaron van den Oord · , · Oriol Vinyals · , · João Carreira	PDF	N/A
Exploiting Scene Graphs for Human-Object Interaction Detection	Tao He · , · Lianli Gao · , · Jingkuan Song · , · Yuan-Fang Li	PDF	N/A
Multi-VAE: Learning Disentangled View-Common and View-Peculiar Visual Representations for Multi-View Clustering	Jie Xu · , · Yazhou Ren · , · Huayi Tang · , · Xiaorong Pu · , · Xiaofeng Zhu · , · Ming Zeng · , · Lifang He	PDF	N/A
TF-Blender: Temporal Feature Blender for Video Object Detection	Yiming Cui · , · Liqi Yan · , · Zhiwen Cao · , · Dongfang Liu	PDF	N/A
Adversarial Robustness for Unsupervised Domain Adaptation	Muhammad Awais · , · Fengwei Zhou · , · Hang Xu · , · Lanqing Hong · , · Ping Luo · , · Sung-Ho Bae · , · Zhenguo Li	PDF	N/A
Discovering 3D Parts From Image Collections	Chun-Han Yao · , · Wei-Chih Hung · , · Varun Jampani · , · Ming-Hsuan Yang	PDF	N/A
ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification	Hao Chen · , · Benoit Lagadec · , · François Bremond	PDF	N/A
PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering	Yurui Ren · , · Ge Li · , · Yuanqi Chen · , · Thomas H. Li · , · Shan Liu	PDF	N/A
Toward Human-Like Grasp: Dexterous Grasping via Semantic Representation of Object-Hand	Tianqiang Zhu · , · Rina Wu · , · Xiangbo Lin · , · Yi Sun	PDF	N/A
MAAS: Multi-Modal Assignation for Active Speaker Detection	Juan Léon Alcázar · , · Fabian Caba · , · Ali K. Thabet · , · Bernard Ghanem	PDF	N/A
Multi-Source Domain Adaptation for Object Detection	Xingxu Yao · , · Sicheng Zhao · , · Pengfei Xu · , · Jufeng Yang	PDF	N/A
Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment	Heliang Zheng · , · Huan Yang · , · Jianlong Fu · , · Zheng-Jun Zha · , · Jiebo Luo	PDF	N/A
ShapeConv: Shape-Aware Convolutional Layer for Indoor RGB-D Semantic Segmentation	Jinming Cao · , · Hanchao Leng · , · Dani Lischinski · , · Daniel Cohen-Or · , · Changhe Tu · , · Yangyan Li	PDF	N/A
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image Recognition	Shih-Cheng Huang · , · Liyue Shen · , · Matthew P. Lungren · , · Serena Yeung	PDF	N/A
Summarize and Search: Learning Consensus-Aware Dynamic Convolution for Co-Saliency Detection	Ni Zhang · , · Junwei Han · , · Nian Liu · , · Ling Shao	PDF	N/A
Visual Distant Supervision for Scene Graph Generation	Yuan Yao · , · Ao Zhang · , · Xu Han · , · Mengdi Li · , · Cornelius Weber · , · Zhiyuan Liu · , · Stefan Wermter · , · Maosong Sun	PDF	N/A
Viewpoint-Agnostic Change Captioning With Cycle Consistency	Hoeseong Kim · , · Jongseok Kim · , · Hyungseok Lee · , · Hyunsung Park · , · Gunhee Kim	PDF	N/A
Neural Video Portrait Relighting in Real-Time via Consistency Modeling	Longwen Zhang · , · Qixuan Zhang · , · Minye Wu · , · Jingyi Yu · , · Lan Xu	PDF	N/A
Image Shape Manipulation From a Single Augmented Training Sample	Yael Vinker · , · Eliahu Horwitz · , · Nir Zabari · , · Yedid Hoshen	PDF	N/A
SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes	Xu Chen · , · Yufeng Zheng · , · Michael J. Black · , · Otmar Hilliges · , · Andreas Geiger	PDF	N/A
Curvature Generation in Curved Spaces for Few-Shot Learning	Zhi Gao · , · Yuwei Wu · , · Yunde Jia · , · Mehrtash Harandi	PDF	N/A
Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning	Ming-Xian Lin · , · Jie Yang · , · He Wang · , · Yu-Kun Lai · , · Rongfei Jia · , · Binqiang Zhao · , · Lin Gao	PDF	N/A
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets From 3D Scans	Ainaz Eftekhar · , · Alexander Sax · , · Jitendra Malik · , · Amir Zamir	PDF	N/A
Single View Physical Distance Estimation Using Human Pose	Xiaohan Fei · , · Henry Wang · , · Lin Lee Cheong · , · Xiangyu Zeng · , · Meng Wang · , · Joseph Tighe	PDF	N/A
Few-Shot Semantic Segmentation With Cyclic Memory Network	Guo-Sen Xie · , · Huan Xiong · , · Jie Liu · , · Yazhou Yao · , · Ling Shao	PDF	N/A
Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning	Zijia Lu · , · Ehsan Elhamifar	PDF	N/A
Not All Operations Contribute Equally: Hierarchical Operation-Adaptive Predictor for Neural Architecture Search	Ziye Chen · , · Yibing Zhan · , · Baosheng Yu · , · Mingming Gong · , · Bo Du	PDF	N/A
SOTR: Segmenting Objects With Transformers	Ruohao Guo · , · Dantong Niu · , · Liao Qu · , · Zhenbo Li	PDF	N/A
Adaptive Surface Normal Constraint for Depth Estimation	Xiaoxiao Long · , · Cheng Lin · , · Lingjie Liu · , · Wei Li · , · Christian Theobalt · , · Ruigang Yang · , · Wenping Wang	PDF	N/A
Enriching Local and Global Contexts for Temporal Action Localization	Zixin Zhu · , · Wei Tang · , · Le Wang · , · Nanning Zheng · , · Gang Hua	PDF	N/A
Hypergraph Neural Networks for Hypergraph Matching	Xiaowei Liao · , · Yong Xu · , · Haibin Ling	PDF	N/A
DRAEM - A Discriminatively Trained Reconstruction Embedding for Surface Anomaly Detection	Vitjan Zavrtanik · , · Matej Kristan · , · Danijel Skočaj	PDF	N/A
Gaussian Fusion: Accurate 3D Reconstruction via Geometry-Guided Displacement Interpolation	Duo Chen · , · Zixin Tang · , · Zhenyu Xu · , · Yunan Zheng · , · Yiguang Liu	PDF	N/A
Frequency-Aware Spatiotemporal Transformers for Video Inpainting Detection	Bingyao Yu · , · Wanhua Li · , · Xiu Li · , · Jiwen Lu · , · Jie Zhou	PDF	N/A
Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction	Bo Xu · , · Han Huang · , · Cheng Lu · , · Ziwen Li · , · Yandong Guo	PDF	N/A
Mutual Supervision for Dense Object Detection	Ziteng Gao · , · Limin Wang · , · Gangshan Wu	PDF	N/A
Orthographic-Perspective Epipolar Geometry	Viktor Larsson · , · Marc Pollefeys · , · Magnus Oskarsson	PDF	N/A
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset	Scott Ettinger · , · Shuyang Cheng · , · Benjamin Caine · , · Chenxi Liu · , · Hang Zhao · , · Sabeek Pradhan · , · Yuning Chai · , · Ben Sapp · , · Charles R. Qi · , · Yin Zhou · , · Zoey Yang · , · Aurélien Chouard · , · Pei Sun · , · Jiquan Ngiam · , · Vijay Vasudevan · , · Alexander McCauley · , · Jonathon Shlens · , · Dragomir Anguelov	PDF	N/A
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation	Hongjun Chen · , · Jinbao Wang · , · Hong Cai Chen · , · Xiantong Zhen · , · Feng Zheng · , · Rongrong Ji · , · Ling Shao	PDF	N/A
Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval	Min Jin Chong · , · Wen-Sheng Chu · , · Abhishek Kumar · , · David Forsyth	PDF	N/A
Rethinking and Improving Relative Position Encoding for Vision Transformer	Kan Wu · , · Houwen Peng · , · Minghao Chen · , · Jianlong Fu · , · Hongyang Chao	PDF	N/A
Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks	Yongcheng Jing · , · Yiding Yang · , · Xinchao Wang · , · Mingli Song · , · Dacheng Tao	PDF	N/A
STRIVE: Scene Text Replacement in Videos	Vijay Kumar B G · , · Jeyasri Subramanian · , · Varnith Chordia · , · Eugene Bart · , · Shaobo Fang · , · Kelly Guan · , · Raja Bala	PDF	N/A
Disentangled High Quality Salient Object Detection	Lv Tang · , · Bo Li · , · Yijie Zhong · , · Shouhong Ding · , · Mofei Song	PDF	N/A
FREE: Feature Refinement for Generalized Zero-Shot Learning	Shiming Chen · , · Wenjie Wang · , · Beihao Xia · , · Qinmu Peng · , · Xinge You · , · Feng Zheng · , · Ling Shao	PDF	N/A
Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding	Mike Roberts · , · Jason Ramapuram · , · Anurag Ranjan · , · Atulit Kumar · , · Miguel Angel Bautista · , · Nathan Paczan · , · Russ Webb · , · Joshua M. Susskind	PDF	N/A
Self-Supervised Object Detection via Generative Image Synthesis	Siva Karthik Mustikovela · , · Shalini De Mello · , · Aayush Prakash · , · Umar Iqbal · , · Sifei Liu · , · Thu Nguyen-Phuoc · , · Carsten Rother · , · Jan Kautz	PDF	N/A
Action-Conditioned 3D Human Motion Synthesis With Transformer VAE	Mathis Petrovich · , · Michael J. Black · , · Gül Varol	PDF	N/A
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?	Yue Song · , · Nicu Sebe · , · Wei Wang	PDF	N/A
SUNet: Symmetric Undistortion Network for Rolling Shutter Correction	Bin Fan · , · Yuchao Dai · , · Mingyi He	PDF	N/A
DWKS: A Local Descriptor of Deformations Between Meshes and Point Clouds	Robin Magnet · , · Maks Ovsjanikov	PDF	N/A
PixelPyramids: Exact Inference Models From Lossless Image Pyramids	Shweta Mahajan · , · Stefan Roth	PDF	N/A
Deep Blind Video Super-Resolution	Jinshan Pan · , · Haoran Bai · , · Jiangxin Dong · , · Jiawei Zhang · , · Jinhui Tang	PDF	N/A
Deep Relational Metric Learning	Wenzhao Zheng · , · Borui Zhang · , · Jiwen Lu · , · Jie Zhou	PDF	N/A
A Unified Objective for Novel Class Discovery	Enrico Fini · , · Enver Sangineto · , · Stéphane Lathuilière · , · Zhun Zhong · , · Moin Nabi · , · Elisa Ricci	PDF	N/A
Provably Approximated Point Cloud Registration	Ibrahim Jubran · , · Alaa Maalouf · , · Ron Kimmel · , · Dan Feldman	PDF	N/A
SAT: 2D Semantics Assisted Training for 3D Visual Grounding	Zhengyuan Yang · , · Songyang Zhang · , · Liwei Wang · , · Jiebo Luo	PDF	N/A
Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings	Mazda Moayeri · , · Soheil Feizi	PDF	N/A
Invisible Backdoor Attack With Sample-Specific Triggers	Yuezun Li · , · Yiming Li · , · Baoyuan Wu · , · Longkang Li · , · Ran He · , · Siwei Lyu	PDF	N/A
Toward a Visual Concept Vocabulary for GAN Latent Space	Sarah Schwettmann · , · Evan Hernandez · , · David Bau · , · Samuel Klein · , · Jacob Andreas · , · Antonio Torralba	PDF	N/A
Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations	Xiaoyu Zhu · , · Jeffrey Chen · , · Xiangrui Zeng · , · Junwei Liang · , · Chengqi Li · , · Sinuo Liu · , · Sima Behpour · , · Min Xu	PDF	N/A
Bootstrap Your Own Correspondences	Mohamed El Banani · , · Justin Johnson	PDF	N/A
A Multi-Mode Modulator for Multi-Domain Few-Shot Classification	Yanbin Liu · , · Juho Lee · , · Linchao Zhu · , · Ling Chen · , · Humphrey Shi · , · Yi Yang	PDF	N/A
SketchAA: Abstract Representation for Abstract Sketches	Lan Yang · , · Kaiyue Pang · , · Honggang Zhang · , · Yi-Zhe Song	PDF	N/A
Detecting Human-Object Relationships in Videos	Jingwei Ji · , · Rishi Desai · , · Juan Carlos Niebles	PDF	N/A
Adaptive Curriculum Learning	Yajing Kong · , · Liu Liu · , · Jun Wang · , · Dacheng Tao	PDF	N/A
SurfaceNet: Adversarial SVBRDF Estimation From a Single Image	Giuseppe Vecchio · , · Simone Palazzo · , · Concetto Spampinato	PDF	N/A
FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting	Zhiwen Fan · , · Lingjie Zhu · , · Honghua Li · , · Xiaohao Chen · , · Siyu Zhu · , · Ping Tan	PDF	N/A
TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning	Shu Hu · , · Lipeng Ke · , · Xin Wang · , · Siwei Lyu	PDF	N/A
Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation	Zhiqiang Gao · , · Shufei Zhang · , · Kaizhu Huang · , · Qiufeng Wang · , · Chaoliang Zhong	PDF	N/A
Sparse-Shot Learning With Exclusive Cross-Entropy for Extremely Many Localisations	Andreas Panteli · , · Jonas Teuwen · , · Hugo Horlings · , · Efstratios Gavves	PDF	N/A
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization	Yaoming Wang · , · Yuchen Liu · , · Wenrui Dai · , · Chenglin Li · , · Junni Zou · , · Hongkai Xiong	PDF	N/A
Motion Deblurring With Real Events	Fang Xu · , · Lei Yu · , · Bishan Wang · , · Wen Yang · , · Gui-Song Xia · , · Xu Jia · , · Zhendong Qiao · , · Jianzhuang Liu	PDF	N/A
Episodic Transformer for Vision-and-Language Navigation	Alexander Pashevich · , · Cordelia Schmid · , · Chen Sun	PDF	N/A
Change Is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery	Zhuo Zheng · , · Ailong Ma · , · Liangpei Zhang · , · Yanfei Zhong	PDF	N/A
Visual Saliency Transformer	Nian Liu · , · Ni Zhang · , · Kaiyuan Wan · , · Ling Shao · , · Junwei Han	PDF	N/A
Event-Based Video Reconstruction Using Transformer	Wenming Weng · , · Yueyi Zhang · , · Zhiwei Xiong	PDF	N/A
Naturalistic Physical Adversarial Patch for Object Detectors	Yu-Chih-Tuan Hu · , · Bo-Han Kung · , · Daniel Stanley Tan · , · Jun-Cheng Chen · , · Kai-Lung Hua · , · Wen-Huang Cheng	PDF	N/A
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation	Seokju Lee · , · Francois Rameau · , · Fei Pan · , · In So Kweon	PDF	N/A
Graspness Discovery in Clutters for Fast and Accurate Grasp Detection	Chenxi Wang · , · Hao-Shu Fang · , · Minghao Gou · , · Hongjie Fang · , · Jin Gao · , · Cewu Lu	PDF	N/A
Gradient Normalization for Generative Adversarial Networks	Yi-Lun Wu · , · Hong-Han Shuai · , · Zhi-Rui Tam · , · Hong-Yu Chiu	PDF	N/A
Clustering by Maximizing Mutual Information Across Views	Kien Do · , · Truyen Tran · , · Svetha Venkatesh	PDF	N/A
SIGN: Spatial-Information Incorporated Generative Network for Generalized Zero-Shot Semantic Segmentation	Jiaxin Cheng · , · Soumyaroop Nandi · , · Prem Natarajan · , · Wael Abd-Almageed	PDF	N/A
Learning With Privileged Tasks	Yuru Song · , · Zan Lou · , · Shan You · , · Erkun Yang · , · Fei Wang · , · Chen Qian · , · Changshui Zhang · , · Xiaogang Wang	PDF	N/A
Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning	Zixu Zhao · , · Yueming Jin · , · Pheng-Ann Heng	PDF	N/A
DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities	Elias Eulig · , · Piyapat Saranrittichai · , · Chaithanya Kumar Mummadi · , · Kilian Rambach · , · William Beluch · , · Xiahan Shi · , · Volker Fischer	PDF	N/A
ASMR: Learning Attribute-Based Person Search With Adaptive Semantic Margin Regularizer	Boseung Jeong · , · Jicheol Park · , · Suha Kwak	PDF	N/A
Learning Inner-Group Relations on Point Clouds	Haoxi Ran · , · Wei Zhuo · , · Jun Liu · , · Li Lu	PDF	N/A
Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows	Ze Liu · , · Yutong Lin · , · Yue Cao · , · Han Hu · , · Yixuan Wei · , · Zheng Zhang · , · Stephen Lin · , · Baining Guo	PDF	N/A
Dynamic Cross Feature Fusion for Remote Sensing Pansharpening	Xiao Wu · , · Ting-Zhu Huang · , · Liang-Jian Deng · , · Tian-Jing Zhang	PDF	N/A
Free-Form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud	Mingtao Feng · , · Zhen Li · , · Qi Li · , · Liang Zhang · , · XiangDong Zhang · , · Guangming Zhu · , · Hui Zhang · , · Yaonan Wang · , · Ajmal Mian	PDF	N/A
The Devil Is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection	Zhikang Zou · , · Xiaoqing Ye · , · Liang Du · , · Xianhui Cheng · , · Xiao Tan · , · Li Zhang · , · Jianfeng Feng · , · Xiangyang Xue · , · Errui Ding	PDF	N/A
SimROD: A Simple Adaptation Method for Robust Object Detection	Rindra Ramamonjison · , · Amin Banitalebi-Dehkordi · , · Xinyu Kang · , · Xiaolong Bai · , · Yong Zhang	PDF	N/A
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues	Frank Julca-Aguilar · , · Jason Taylor · , · Mario Bijelic · , · Fahim Mannan · , · Ethan Tseng · , · Felix Heide	PDF	N/A
iMAP: Implicit Mapping and Positioning in Real-Time	Edgar Sucar · , · Shikun Liu · , · Joseph Ortiz · , · Andrew J. Davison	PDF	N/A
Conditional Diffusion for Interactive Segmentation	Xi Chen · , · Zhiyan Zhao · , · Feiwu Yu · , · Yilei Zhang · , · Manni Duan	PDF	N/A
Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples With Graph-Based Virtual Labels	Jiannan Guo · , · Haochen Shi · , · Yangyang Kang · , · Kun Kuang · , · Siliang Tang · , · Zhuoren Jiang · , · Changlong Sun · , · Fei Wu · , · Yueting Zhuang	PDF	N/A
RobustNav: Towards Benchmarking Robustness in Embodied Navigation	Prithvijit Chattopadhyay · , · Judy Hoffman · , · Roozbeh Mottaghi · , · Aniruddha Kembhavi	PDF	N/A
Conditional Variational Capsule Network for Open Set Recognition	Yunrui Guo · , · Guglielmo Camporese · , · Wenjing Yang · , · Alessandro Sperduti · , · Lamberto Ballan	PDF	N/A
Towards Real-World Prohibited Item Detection: A Large-Scale X-Ray Benchmark	Boying Wang · , · Libo Zhang · , · Longyin Wen · , · Xianglong Liu · , · Yanjun Wu	PDF	N/A
Let's See Clearly: Contaminant Artifact Removal for Moving Cameras	Xiaoyu Li · , · Bo Zhang · , · Jing Liao · , · Pedro V. Sander	PDF	N/A
Generating Attribution Maps With Disentangled Masked Backpropagation	Adria Ruiz · , · Antonio Agudo · , · Francesc Moreno-Noguer	PDF	N/A
A Simple Baseline for Weakly-Supervised Scene Graph Generation	Jing Shi · , · Yiwu Zhong · , · Ning Xu · , · Yin Li · , · Chenliang Xu	PDF	N/A
Self-Supervised Vessel Segmentation via Adversarial Learning	Yuxin Ma · , · Yang Hua · , · Hanming Deng · , · Tao Song · , · Hao Wang · , · Zhengui Xue · , · Heng Cao · , · Ruhui Ma · , · Haibing Guan	PDF	N/A
3DStyleNet: Creating 3D Shapes With Geometric and Texture Style Variations	Kangxue Yin · , · Jun Gao · , · Maria Shugrina · , · Sameh Khamis · , · Sanja Fidler	PDF	N/A
NeRD: Neural Reflectance Decomposition From Image Collections	Mark Boss · , · Raphael Braun · , · Varun Jampani · , · Jonathan T. Barron · , · Ce Liu · , · Hendrik P.A. Lensch	PDF	N/A
Deep Hybrid Self-Prior for Full 3D Mesh Generation	Xingkui Wei · , · Zhengqing Chen · , · Yanwei Fu · , · Zhaopeng Cui · , · Yinda Zhang	PDF	N/A
MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction	Lingwei Dang · , · Yongwei Nie · , · Chengjiang Long · , · Qing Zhang · , · Guiqing Li	PDF	N/A
Super Resolve Dynamic Scene From Continuous Spike Streams	Jing Zhao · , · Jiyu Xie · , · Ruiqin Xiong · , · Jian Zhang · , · Zhaofei Yu · , · Tiejun Huang	PDF	N/A
Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation	Beibei Lin · , · Shunli Zhang · , · Xin Yu	PDF	N/A
Labels4Free: Unsupervised Segmentation Using StyleGAN	Rameen Abdal · , · Peihao Zhu · , · Niloy J. Mitra · , · Peter Wonka	PDF	N/A
Harnessing the Conditioning Sensorium for Improved Image Translation	Cooper Nederhood · , · Nicholas Kolkin · , · Deqing Fu · , · Jason Salavon	PDF	N/A
DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation	Maosheng Ye · , · Shuangjie Xu · , · Tongyi Cao · , · Qifeng Chen	PDF	N/A
Spectral Leakage and Rethinking the Kernel Size in CNNs	Nergis Tomen · , · Jan C. van Gemert	PDF	N/A
High-Fidelity Pluralistic Image Completion With Transformers	Ziyu Wan · , · Jingbo Zhang · , · Dongdong Chen · , · Jing Liao	PDF	N/A
Dance With Self-Attention: A New Look of Conditional Random Fields on Anomaly Detection in Videos	Didik Purwanto · , · Yie-Tarng Chen · , · Wen-Hsien Fang	PDF	N/A
Text Is Text, No Matter What: Unifying Text Recognition Using Knowledge Distillation	Ayan Kumar Bhunia · , · Aneeshan Sain · , · Pinaki Nath Chowdhury · , · Yi-Zhe Song	PDF	N/A
Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition	Xiaodan Hu · , · Narendra Ahuja	PDF	N/A
What You Can Learn by Staring at a Blank Wall	Prafull Sharma · , · Miika Aittala · , · Yoav Y. Schechner · , · Antonio Torralba · , · Gregory W. Wornell · , · William T. Freeman · , · Frédo Durand	PDF	N/A
Improving Contrastive Learning by Visualizing Feature Transformation	Rui Zhu · , · Bingchen Zhao · , · Jingen Liu · , · Zhenglong Sun · , · Chang Wen Chen	PDF	N/A
Complementary Patch for Weakly Supervised Semantic Segmentation	Fei Zhang · , · Chaochen Gu · , · Chenyue Zhang · , · Yuchao Dai	PDF	N/A
Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining	Xunlin Zhan · , · Yangxin Wu · , · Xiao Dong · , · Yunchao Wei · , · Minlong Lu · , · Yichi Zhang · , · Hang Xu · , · Xiaodan Liang	PDF	N/A
StyleFormer: Real-Time Arbitrary Style Transfer via Parametric Style Composition	Xiaolei Wu · , · Zhihao Hu · , · Lu Sheng · , · Dong Xu	PDF	N/A
Hypercorrelation Squeeze for Few-Shot Segmentation	Juhong Min · , · Dahyun Kang · , · Minsu Cho	PDF	N/A
Digging Into Uncertainty in Self-Supervised Multi-View Stereo	Hongbin Xu · , · Zhipeng Zhou · , · Yali Wang · , · Wenxiong Kang · , · Baigui Sun · , · Hao Li · , · Yu Qiao	PDF	N/A
A Style and Semantic Memory Mechanism for Domain Generalization	Yang Chen · , · Yu Wang · , · Yingwei Pan · , · Ting Yao · , · Xinmei Tian · , · Tao Mei	PDF	N/A
EigenGAN: Layer-Wise Eigen-Learning for GANs	Zhenliang He · , · Meina Kan · , · Shiguang Shan	PDF	N/A
Uncertainty-Aware Human Mesh Recovery From Video by Learning Part-Based 3D Dynamics	Gun-Hee Lee · , · Seong-Whan Lee	PDF	N/A
Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators	Zihang Meng · , · Vikas Singh · , · Sathya N. Ravi	PDF	N/A
Rethinking Transformer-Based Set Prediction for Object Detection	Zhiqing Sun · , · Shengcao Cao · , · Yiming Yang · , · Kris M. Kitani	PDF	N/A
FIERY: Future Instance Prediction in Bird's-Eye View From Surround Monocular Cameras	Anthony Hu · , · Zak Murez · , · Nikhil Mohan · , · Sofía Dudas · , · Jeffrey Hawke · , · Vijay Badrinarayanan · , · Roberto Cipolla · , · Alex Kendall	PDF	N/A
CLEAR: Clean-Up Sample-Targeted Backdoor in Neural Networks	Liuwan Zhu · , · Rui Ning · , · Chunsheng Xin · , · Chonggang Wang · , · Hongyi Wu	PDF	N/A
Motion-Augmented Self-Training for Video Recognition at Smaller Scale	Kirill Gavrilyuk · , · Mihir Jain · , · Ilia Karmanov · , · Cees G. M. Snoek	PDF	N/A
Generating Smooth Pose Sequences for Diverse Human Motion Prediction	Wei Mao · , · Miaomiao Liu · , · Mathieu Salzmann	PDF	N/A
DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension	Roman Shapovalov · , · David Novotny · , · Benjamin Graham · , · Patrick Labatut · , · Andrea Vedaldi	PDF	N/A
Unpaired Learning for Deep Image Deraining With Rain Direction Regularizer	Yang Liu · , · Ziyu Yue · , · Jinshan Pan · , · Zhixun Su	PDF	N/A
Self-Supervised Image Prior Learning With GMM From a Single Noisy Image	Haosen Liu · , · Xuan Liu · , · Jiangbo Lu · , · Shan Tan	PDF	N/A
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation	Donghyeon Baek · , · Youngmin Oh · , · Bumsub Ham	PDF	N/A
HeadGAN: One-Shot Neural Head Synthesis and Editing	Michail Christos Doukas · , · Stefanos Zafeiriou · , · Viktoriia Sharmanska	PDF	N/A
Aligning Subtitles in Sign Language Videos	Hannah Bull · , · Triantafyllos Afouras · , · Gül Varol · , · Samuel Albanie · , · Liliane Momeni · , · Andrew Zisserman	PDF	N/A
Variational Feature Disentangling for Fine-Grained Few-Shot Classification	Jingyi Xu · , · Hieu Le · , · Mingzhen Huang · , · ShahRukh Athar · , · Dimitris Samaras	PDF	N/A
MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving	Kai Chen · , · Lanqing Hong · , · Hang Xu · , · Zhenguo Li · , · Dit-Yan Yeung	PDF	N/A
Pano-AVQA: Grounded Audio-Visual Question Answering on 360deg Videos	Heeseung Yun · , · Youngjae Yu · , · Wonsuk Yang · , · Kangil Lee · , · Gunhee Kim	PDF	N/A
Deep Implicit Surface Point Prediction Networks	Rahul Venkatesh · , · Tejan Karmali · , · Sarthak Sharma · , · Aurobrata Ghosh · , · R. Venkatesh Babu · , · László A. Jeni · , · Maneesh Singh	PDF	N/A
Broaden Your Views for Self-Supervised Video Learning	Adrià Recasens · , · Pauline Luc · , · Jean-Baptiste Alayrac · , · Luyu Wang · , · Florian Strub · , · Corentin Tallec · , · Mateusz Malinowski · , · Viorica Pătrăucean · , · Florent Altché · , · Michal Valko · , · Jean-Bastien Grill · , · Aäron van den Oord · , · Andrew Zisserman	PDF	N/A
Deep Metric Learning for Open World Semantic Segmentation	Jun Cen · , · Peng Yun · , · Junhao Cai · , · Michael Yu Wang · , · Ming Liu	PDF	N/A
Boundary-Sensitive Pre-Training for Temporal Localization in Videos	Mengmeng Xu · , · Juan-Manuel Pérez-Rúa · , · Victor Escorcia · , · Brais Martínez · , · Xiatian Zhu · , · Li Zhang · , · Bernard Ghanem · , · Tao Xiang	PDF	N/A
SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation	Yan Di · , · Fabian Manhardt · , · Gu Wang · , · Xiangyang Ji · , · Nassir Navab · , · Federico Tombari	PDF	N/A
Explainable Video Entailment With Grounded Visual Evidence	Junwen Chen · , · Yu Kong	PDF	N/A
HiT: Hierarchical Transformer With Momentum Contrast for Video-Text Retrieval	Song Liu · , · Haoqi Fan · , · Shengsheng Qian · , · Yiru Chen · , · Wenkui Ding · , · Zhongyuan Wang	PDF	N/A
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation	Jay Patravali · , · Gaurav Mittal · , · Ye Yu · , · Fuxin Li · , · Mei Chen	PDF	N/A
Poly-NL: Linear Complexity Non-Local Layers With 3rd Order Polynomials	Francesca Babiloni · , · Ioannis Marras · , · Filippos Kokkinos · , · Jiankang Deng · , · Grigorios Chrysos · , · Stefanos Zafeiriou	PDF	N/A
PatchMatch-RL: Deep MVS With Pixelwise Depth, Normal, and Visibility	Jae Yong Lee · , · Joseph DeGol · , · Chuhang Zou · , · Derek Hoiem	PDF	N/A
Distinctiveness Oriented Positional Equilibrium for Point Cloud Registration	Taewon Min · , · Chonghyuk Song · , · Eunseok Kim · , · Inwook Shim	PDF	N/A
Deep Edge-Aware Interactive Colorization Against Color-Bleeding Effects	Eungyeup Kim · , · Sanghyeon Lee · , · Jeonghoon Park · , · Somi Choi · , · Choonghyun Seo · , · Jaegul Choo	PDF	N/A
ELSD: Efficient Line Segment Detector and Descriptor	Haotian Zhang · , · Yicheng Luo · , · Fangbo Qin · , · Yijia He · , · Xiao Liu	PDF	N/A
Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation	Feihu Zhang · , · Oliver J. Woodford · , · Victor Adrian Prisacariu · , · Philip H.S. Torr	PDF	N/A
Learned Spatial Representations for Few-Shot Talking-Head Synthesis	Moustafa Meshry · , · Saksham Suri · , · Larry S. Davis · , · Abhinav Shrivastava	PDF	N/A
Vision Transformers for Dense Prediction	René Ranftl · , · Alexey Bochkovskiy · , · Vladlen Koltun	PDF	N/A
V-DESIRR: Very Fast Deep Embedded Single Image Reflection Removal	B H Pawan Prasad · , · Green Rosh K S · , · Lokesh R. Boregowda · , · Kaushik Mitra · , · Sanjoy Chowdhury	PDF	N/A
CrackFormer: Transformer Network for Fine-Grained Crack Detection	Huajun Liu · , · Xiangyu Miao · , · Christoph Mertz · , · Chengzhong Xu · , · Hui Kong	PDF	N/A
Factorizing Perception and Policy for Interactive Instruction Following	Kunal Pratap Singh · , · Suvaansh Bhambri · , · Byeonghwi Kim · , · Roozbeh Mottaghi · , · Jonghyun Choi	PDF	N/A
Detecting Invisible People	Tarasha Khurana · , · Achal Dave · , · Deva Ramanan	PDF	N/A
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds	Zekun Hao · , · Arun Mallya · , · Serge Belongie · , · Ming-Yu Liu	PDF	N/A
Talk-To-Edit: Fine-Grained Facial Editing via Dialog	Yuming Jiang · , · Ziqi Huang · , · Xingang Pan · , · Chen Change Loy · , · Ziwei Liu	PDF	N/A
AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting	Ye Yuan · , · Xinshuo Weng · , · Yanglan Ou · , · Kris M. Kitani	PDF	N/A
Transparent Object Tracking Benchmark	Heng Fan · , · Halady Akhilesha Miththanthaya · , · Harshit · , · Siranjiv Ramana Rajan · , · Xiaoqiong Liu · , · Zhilin Zou · , · Yuewei Lin · , · Haibin Ling	PDF	N/A
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters	Bowen Dong · , · Zitong Huang · , · Yuelin Guo · , · Qilong Wang · , · Zhenxing Niu · , · Wangmeng Zuo	PDF	N/A
Group-Wise Inhibition Based Feature Regularization for Robust Classification	Haozhe Liu · , · Haoqian Wu · , · Weicheng Xie · , · Feng Liu · , · Linlin Shen	PDF	N/A
Incorporating Convolution Designs Into Visual Transformers	Kun Yuan · , · Shaopeng Guo · , · Ziwei Liu · , · Aojun Zhou · , · Fengwei Yu · , · Wei Wu	PDF	N/A
CDS: Cross-Domain Self-Supervised Pre-Training	Donghyun Kim · , · Kuniaki Saito · , · Tae-Hyun Oh · , · Bryan A. Plummer · , · Stan Sclaroff · , · Kate Saenko	PDF	N/A
CaT: Weakly Supervised Object Detection With Category Transfer	Tianyue Cao · , · Lianyu Du · , · Xiaoyun Zhang · , · Siheng Chen · , · Ya Zhang · , · Yan-Feng Wang	PDF	N/A
4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface	Yang Li · , · Hikari Takehara · , · Takafumi Taketomi · , · Bo Zheng · , · Matthias Nießner	PDF	N/A
Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU	Shipra Jain · , · Danda Pani Paudel · , · Martin Danelljan · , · Luc Van Gool	PDF	N/A
Searching for Robustness: Loss Learning for Noisy Classification Tasks	Boyan Gao · , · Henry Gouk · , · Timothy M. Hospedales	PDF	N/A
On Compositions of Transformations in Contrastive Self-Supervised Learning	Mandela Patrick · , · Yuki M. Asano · , · Polina Kuznetsova · , · Ruth Fong · , · João F. Henriques · , · Geoffrey Zweig · , · Andrea Vedaldi	PDF	N/A
Handwriting Transformers	Ankan Kumar Bhunia · , · Salman Khan · , · Hisham Cholakkal · , · Rao Muhammad Anwer · , · Fahad Shahbaz Khan · , · Mubarak Shah	PDF	N/A
BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification	Cheng Yan · , · Guansong Pang · , · Lei Wang · , · Jile Jiao · , · Xuetao Feng · , · Chunhua Shen · , · Jingjing Li	PDF	N/A
Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation From Images in the Wild	Akash Sengupta · , · Ignas Budvytis · , · Roberto Cipolla	PDF	N/A
Dynamic DETR: End-to-End Object Detection With Dynamic Attention	Xiyang Dai · , · Yinpeng Chen · , · Jianwei Yang · , · Pengchuan Zhang · , · Lu Yuan · , · Lei Zhang	PDF	N/A
DepthTrack: Unveiling the Power of RGBD Tracking	Song Yan · , · Jinyu Yang · , · Jani Käpylä · , · Feng Zheng · , · Aleš Leonardis · , · Joni-Kristian Kämäräinen	PDF	N/A
XVFI: eXtreme Video Frame Interpolation	Hyeonjun Sim · , · Jihyong Oh · , · Munchurl Kim	PDF	N/A
Cortical Surface Shape Analysis Based on Alexandrov Polyhedra	Min Zhang · , · Yang Guo · , · Na Lei · , · Zhou Zhao · , · Jianfeng Wu · , · Xiaoyin Xu · , · Yalin Wang · , · Xianfeng Gu	PDF	N/A
Watch Only Once: An End-to-End Video Action Detection Framework	Shoufa Chen · , · Peize Sun · , · Enze Xie · , · Chongjian Ge · , · Jiannan Wu · , · Lan Ma · , · Jiajun Shen · , · Ping Luo	PDF	N/A
Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting	Shijie Li · , · Yanying Zhou · , · Jinhui Yi · , · Juergen Gall	PDF	N/A
Point Cloud Augmentation With Weighted Local Transformations	Sihyeon Kim · , · Sanghyeok Lee · , · Dasol Hwang · , · Jaewon Lee · , · Seong Jae Hwang · , · Hyunwoo J. Kim	PDF	N/A
Solving Inefficiency of Self-Supervised Representation Learning	Guangrun Wang · , · Keze Wang · , · Guangcong Wang · , · Philip H.S. Torr · , · Liang Lin	PDF	N/A
Stochastic Scene-Aware Motion Prediction	Mohamed Hassan · , · Duygu Ceylan · , · Ruben Villegas · , · Jun Saito · , · Jimei Yang · , · Yi Zhou · , · Michael J. Black	PDF	N/A
Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation	Gwangbin Bae · , · Ignas Budvytis · , · Roberto Cipolla	PDF	N/A
Explaining in Style: Training a GAN To Explain a Classifier in StyleSpace	Oran Lang · , · Yossi Gandelsman · , · Michal Yarom · , · Yoav Wald · , · Gal Elidan · , · Avinatan Hassidim · , · William T. Freeman · , · Phillip Isola · , · Amir Globerson · , · Michal Irani · , · Inbar Mosseri	PDF	N/A
Exploring Visual Engagement Signals for Representation Learning	Menglin Jia · , · Zuxuan Wu · , · Austin Reiter · , · Claire Cardie · , · Serge Belongie · , · Ser-Nam Lim	PDF	N/A
MUSIQ: Multi-Scale Image Quality Transformer	Junjie Ke · , · Qifei Wang · , · Yilin Wang · , · Peyman Milanfar · , · Feng Yang	PDF	N/A
FcaNet: Frequency Channel Attention Networks	Zequn Qin · , · Pengyi Zhang · , · Fei Wu · , · Xi Li	PDF	N/A
Matching in the Dark: A Dataset for Matching Image Pairs of Low-Light Scenes	Wenzheng Song · , · Masanori Suganuma · , · Xing Liu · , · Noriyuki Shimobayashi · , · Daisuke Maruta · , · Takayuki Okatani	PDF	N/A
ReDAL: Region-Based and Diversity-Aware Active Learning for Point Cloud Semantic Segmentation	Tsung-Han Wu · , · Yueh-Cheng Liu · , · Yu-Kai Huang · , · Hsin-Ying Lee · , · Hung-Ting Su · , · Ping-Chia Huang · , · Winston H. Hsu	PDF	N/A
Point Transformer	Hengshuang Zhao · , · Li Jiang · , · Jiaya Jia · , · Philip H.S. Torr · , · Vladlen Koltun	PDF	N/A
Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation	Yi Zhu · , · Yue Weng · , · Fengda Zhu · , · Xiaodan Liang · , · Qixiang Ye · , · Yutong Lu · , · Jianbin Jiao	PDF	N/A
Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation	Shu Yang · , · Lu Zhang · , · Jinqing Qi · , · Huchuan Lu · , · Shuo Wang · , · Xiaoxing Zhang	PDF	N/A
Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis	Ajay Jain · , · Matthew Tancik · , · Pieter Abbeel	PDF	N/A
CrossDet: Crossline Representation for Object Detection	Heqian Qiu · , · Hongliang Li · , · Qingbo Wu · , · Jianhua Cui · , · Zichen Song · , · Lanxiao Wang · , · Minjian Zhang	PDF	N/A
Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs	Helisa Dhamo · , · Fabian Manhardt · , · Nassir Navab · , · Federico Tombari	PDF	N/A
Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution	Xiu Li · , · Jinli Suo · , · Weihang Zhang · , · Xin Yuan · , · Qionghai Dai	PDF	N/A
E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks	Maxime Kayser · , · Oana-Maria Camburu · , · Leonard Salewski · , · Cornelius Emde · , · Virginie Do · , · Zeynep Akata · , · Thomas Lukasiewicz	PDF	N/A
Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains	Soumava Paul · , · Titir Dutta · , · Soma Biswas	PDF	N/A
Learning Unsupervised Metaformer for Anomaly Detection	Jhih-Ciang Wu · , · Ding-Jie Chen · , · Chiou-Shann Fuh · , · Tyng-Luh Liu	PDF	N/A
Robust Object Detection via Instance-Level Temporal Cycle Confusion	Xin Wang · , · Thomas E. Huang · , · Benlin Liu · , · Fisher Yu · , · Xiaolong Wang · , · Joseph E. Gonzalez · , · Trevor Darrell	PDF	N/A
HighlightMe: Detecting Highlights From Human-Centric Videos	Uttaran Bhattacharya · , · Gang Wu · , · Stefano Petrangeli · , · Viswanathan Swaminathan · , · Dinesh Manocha	PDF	N/A
Procedure Planning in Instructional Videos via Contextual Modeling and Model-Based Policy Learning	Jing Bi · , · Jiebo Luo · , · Chenliang Xu	PDF	N/A
Variable-Rate Deep Image Compression Through Spatially-Adaptive Feature Transform	Myungseo Song · , · Jinyoung Choi · , · Bohyung Han	PDF	N/A
DeePSD: Automatic Deep Skinning and Pose Space Deformation for 3D Garment Animation	Hugo Bertiche · , · Meysam Madadi · , · Emilio Tylson · , · Sergio Escalera	PDF	N/A
Structured Outdoor Architecture Reconstruction by Exploration and Classification	Fuyang Zhang · , · Xiang Xu · , · Nelson Nauata · , · Yasutaka Furukawa	PDF	N/A
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction	Patrick Dendorfer · , · Sven Elflein · , · Laura Leal-Taixé	PDF	N/A
Rethinking Coarse-To-Fine Approach in Single Image Deblurring	Sung-Jin Cho · , · Seo-Won Ji · , · Jun-Pyo Hong · , · Seung-Won Jung · , · Sung-Jea Ko	PDF	N/A
Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation	Rawal Khirodkar · , · Visesh Chari · , · Amit Agrawal · , · Ambrish Tyagi	PDF	N/A
Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching	Jian Gao · , · Jin Liu · , · Shunping Ji	PDF	N/A
A New Journey From SDRTV to HDRTV	Xiangyu Chen · , · Zhengwen Zhang · , · Jimmy S. Ren · , · Lynhoo Tian · , · Yu Qiao · , · Chao Dong	PDF	N/A
Point-Set Distances for Learning Representations of 3D Point Clouds	Trung Nguyen · , · Quang-Hieu Pham · , · Tam Le · , · Tung Pham · , · Nhat Ho · , · Binh-Son Hua	PDF	N/A
ELLIPSDF: Joint Object Pose and Shape Optimization With a Bi-Level Ellipsoid and Signed Distance Function Description	Mo Shan · , · Qiaojun Feng · , · You-Yi Jau · , · Nikolay Atanasov	PDF	N/A
ARCH++: Animation-Ready Clothed Human Reconstruction Revisited	Tong He · , · Yuanlu Xu · , · Shunsuke Saito · , · Stefano Soatto · , · Tony Tung	PDF	N/A
Vision-Language Transformer and Query Generation for Referring Segmentation	Henghui Ding · , · Chang Liu · , · Suchen Wang · , · Xudong Jiang	PDF	N/A
Semantically Coherent Out-of-Distribution Detection	Jingkang Yang · , · Haoqi Wang · , · Litong Feng · , · Xiaopeng Yan · , · Huabin Zheng · , · Wayne Zhang · , · Ziwei Liu	PDF	N/A
SCOUTER: Slot Attention-Based Classifier for Explainable Image Recognition	Liangzhi Li · , · Bowen Wang · , · Manisha Verma · , · Yuta Nakashima · , · Ryo Kawasaki · , · Hajime Nagahara	PDF	N/A
RetrievalFuse: Neural 3D Scene Reconstruction With a Database	Yawar Siddiqui · , · Justus Thies · , · Fangchang Ma · , · Qi Shan · , · Matthias Nießner · , · Angela Dai	PDF	N/A
Spatio-Temporal Self-Supervised Representation Learning for 3D Point Clouds	Siyuan Huang · , · Yichen Xie · , · Song-Chun Zhu · , · Yixin Zhu	PDF	N/A
Learning To Know Where To See: A Visibility-Aware Approach for Occluded Person Re-Identification	Jinrui Yang · , · Jiawei Zhang · , · Fufu Yu · , · Xinyang Jiang · , · Mengdan Zhang · , · Xing Sun · , · Ying-Cong Chen · , · Wei-Shi Zheng	PDF	N/A
Focal Frequency Loss for Image Reconstruction and Synthesis	Liming Jiang · , · Bo Dai · , · Wayne Wu · , · Chen Change Loy	PDF	N/A
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images	Zhuowan Li · , · Elias Stengel-Eskin · , · Yixiao Zhang · , · Cihang Xie · , · Quan Hung Tran · , · Benjamin Van Durme · , · Alan Yuille	PDF	N/A
Vision-Language Navigation With Random Environmental Mixup	Chong Liu · , · Fengda Zhu · , · Xiaojun Chang · , · Xiaodan Liang · , · Zongyuan Ge · , · Yi-Dong Shen	PDF	N/A
Object Tracking by Jointly Exploiting Frame and Event Domain	Jiqing Zhang · , · Xin Yang · , · Yingkai Fu · , · Xiaopeng Wei · , · Baocai Yin · , · Bo Dong	PDF	N/A
Learning To Generate Scene Graph From Natural Language Supervision	Yiwu Zhong · , · Jing Shi · , · Jianwei Yang · , · Chenliang Xu · , · Yin Li	PDF	N/A
Editing Conditional Radiance Fields	Steven Liu · , · Xiuming Zhang · , · Zhoutong Zhang · , · Richard Zhang · , · Jun-Yan Zhu · , · Bryan Russell	PDF	N/A
Global Pooling, More Than Meets the Eye: Position Information Is Encoded Channel-Wise in CNNs	Md Amirul Islam · , · Matthew Kowal · , · Sen Jia · , · Konstantinos G. Derpanis · , · Neil D. B. Bruce	PDF	N/A
Testing Using Privileged Information by Adapting Features With Statistical Dependence	Kwang In Kim · , · James Tompkin	PDF	N/A
CvT: Introducing Convolutions to Vision Transformers	Haiping Wu · , · Bin Xiao · , · Noel Codella · , · Mengchen Liu · , · Xiyang Dai · , · Lu Yuan · , · Lei Zhang	PDF	N/A
Context-Sensitive Temporal Feature Learning for Gait Recognition	Xiaohu Huang · , · Duowang Zhu · , · Hao Wang · , · Xinggang Wang · , · Bo Yang · , · Botao He · , · Wenyu Liu · , · Bin Feng	PDF	N/A
Pseudo-Mask Matters in Weakly-Supervised Semantic Segmentation	Yi Li · , · Zhanghui Kuang · , · Liyang Liu · , · Yimin Chen · , · Wayne Zhang	PDF	N/A
COTR: Correspondence Transformer for Matching Across Images	Wei Jiang · , · Eduard Trulls · , · Jan Hosang · , · Andrea Tagliasacchi · , · Kwang Moo Yi	PDF	N/A
CoMatch: Semi-Supervised Learning With Contrastive Graph Regularization	Junnan Li · , · Caiming Xiong · , · Steven C.H. Hoi	PDF	N/A
End-to-End Semi-Supervised Object Detection With Soft Teacher	Mengde Xu · , · Zheng Zhang · , · Han Hu · , · Jianfeng Wang · , · Lijuan Wang · , · Fangyun Wei · , · Xiang Bai · , · Zicheng Liu	PDF	N/A
Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition	Ming Lin · , · Pichao Wang · , · Zhenhong Sun · , · Hesen Chen · , · Xiuyu Sun · , · Qi Qian · , · Hao Li · , · Rong Jin	PDF	N/A
Virtual Light Transport Matrices for Non-Line-of-Sight Imaging	Julio Marco · , · Adrian Jarabo · , · Ji Hyun Nam · , · Xiaochun Liu · , · Miguel Ángel Cosculluela · , · Andreas Velten · , · Diego Gutierrez	PDF	N/A
DecentLaM: Decentralized Momentum SGD for Large-Batch Deep Training	Kun Yuan · , · Yiming Chen · , · Xinmeng Huang · , · Yingya Zhang · , · Pan Pan · , · Yinghui Xu · , · Wotao Yin	PDF	N/A
Video Object Segmentation With Dynamic Memory Networks and Adaptive Object Alignment	Shuxian Liang · , · Xu Shen · , · Jianqiang Huang · , · Xian-Sheng Hua	PDF	N/A
Augmented Lagrangian Adversarial Attacks	Jérôme Rony · , · Eric Granger · , · Marco Pedersoli · , · Ismail Ben Ayed	PDF	N/A
Contrastive Multimodal Fusion With TupleInfoNCE	Yunze Liu · , · Qingnan Fan · , · Shanghang Zhang · , · Hao Dong · , · Thomas Funkhouser · , · Li Yi	PDF	N/A
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising	Goutam Bhat · , · Martin Danelljan · , · Fisher Yu · , · Luc Van Gool · , · Radu Timofte	PDF	N/A
Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning	James Smith · , · Yen-Chang Hsu · , · Jonathan Balloch · , · Yilin Shen · , · Hongxia Jin · , · Zsolt Kira	PDF	N/A
ViViT: A Video Vision Transformer	Anurag Arnab · , · Mostafa Dehghani · , · Georg Heigold · , · Chen Sun · , · Mario Lučić · , · Cordelia Schmid	PDF	N/A
Generative Compositional Augmentations for Scene Graph Prediction	Boris Knyazev · , · Harm de Vries · , · Cătălina Cangea · , · Graham W. Taylor · , · Aaron Courville · , · Eugene Belilovsky	PDF	N/A
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery	Or Patashnik · , · Zongze Wu · , · Eli Shechtman · , · Daniel Cohen-Or · , · Dani Lischinski	PDF	N/A
Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack	Weiwei Feng · , · Baoyuan Wu · , · Tianzhu Zhang · , · Yong Zhang · , · Yongdong Zhang	PDF	N/A
Benchmarking Ultra-High-Definition Image Super-Resolution	Kaihao Zhang · , · Dongxu Li · , · Wenhan Luo · , · Wenqi Ren · , · Björn Stenger · , · Wei Liu · , · Hongdong Li · , · Ming-Hsuan Yang	PDF	N/A
3D Local Convolutional Neural Networks for Gait Recognition	Zhen Huang · , · Dixiu Xue · , · Xu Shen · , · Xinmei Tian · , · Houqiang Li · , · Jianqiang Huang · , · Xian-Sheng Hua	PDF	N/A
Lucas-Kanade Reloaded: End-to-End Super-Resolution From Raw Image Bursts	Bruno Lecouat · , · Jean Ponce · , · Julien Mairal	PDF	N/A
Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding	Yanfu Zhang · , · Lei Luo · , · Wenhan Xian · , · Heng Huang	PDF	N/A
PR-GCN: A Deep Graph Convolutional Network With Point Refinement for 6D Pose Estimation	Guangyuan Zhou · , · Huiqun Wang · , · Jiaxin Chen · , · Di Huang	PDF	N/A
Learning High-Fidelity Face Texture Completion Without Complete Face Texture	Jongyoo Kim · , · Jiaolong Yang · , · Xin Tong	PDF	N/A
Product Quantizer Aware Inverted Index for Scalable Nearest Neighbor Search	Haechan Noh · , · Taeho Kim · , · Jae-Pil Heo	PDF	N/A
RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth	Mengyang Pu · , · Yaping Huang · , · Qingji Guan · , · Haibin Ling	PDF	N/A
Track Without Appearance: Learn Box and Tracklet Embedding With Local and Global Motion Patterns for Vehicle Tracking	Gaoang Wang · , · Renshu Gu · , · Zuozhu Liu · , · Weijie Hu · , · Mingli Song · , · Jenq-Neng Hwang	PDF	N/A
Are We Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection?	Andrea Simonelli · , · Samuel Rota Bulò · , · Lorenzo Porzi · , · Peter Kontschieder · , · Elisa Ricci	PDF	N/A
On the Limits of Pseudo Ground Truth in Visual Camera Re-Localisation	Eric Brachmann · , · Martin Humenberger · , · Carsten Rother · , · Torsten Sattler	PDF	N/A
An Elastica Geodesic Approach With Convexity Shape Prior	Da Chen · , · Laurent D. Cohen · , · Jean-Marie Mirebeau · , · Xue-Cheng Tai	PDF	N/A
AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer	Songhua Liu · , · Tianwei Lin · , · Dongliang He · , · Fu Li · , · Meiling Wang · , · Xin Li · , · Zhengxing Sun · , · Qian Li · , · Errui Ding	PDF	N/A
PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition	Prithviraj Dhar · , · Joshua Gleason · , · Aniket Roy · , · Carlos D. Castillo · , · Rama Chellappa	PDF	N/A
Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection	Shi-Xue Zhang · , · Xiaobin Zhu · , · Chun Yang · , · Hongfa Wang · , · Xu-Cheng Yin	PDF	N/A
Video Matting via Consistency-Regularized Graph Neural Networks	Tiantian Wang · , · Sifei Liu · , · Yapeng Tian · , · Kai Li · , · Ming-Hsuan Yang	PDF	N/A
Probabilistic Monocular 3D Human Pose Estimation With Normalizing Flows	Tom Wehrbein · , · Marco Rudolph · , · Bodo Rosenhahn · , · Bastian Wandt	PDF	N/A
Inverting a Rolling Shutter Camera: Bring Rolling Shutter Images to High Framerate Global Shutter Video	Bin Fan · , · Yuchao Dai	PDF	N/A
Human Detection and Segmentation via Multi-View Consensus	Isinsu Katircioglu · , · Helge Rhodin · , · Jörg Spörri · , · Mathieu Salzmann · , · Pascal Fua	PDF	N/A
GDP: Stabilized Neural Network Pruning via Gates With Differentiable Polarization	Yi Guo · , · Huan Yuan · , · Jianchao Tan · , · Zhangyang Wang · , · Sen Yang · , · Ji Liu	PDF	N/A
From Two to One: A New Scene Text Recognizer With Visual Language Modeling Network	Yuxin Wang · , · Hongtao Xie · , · Shancheng Fang · , · Jing Wang · , · Shenggao Zhu · , · Yongdong Zhang	PDF	N/A
GRF: Learning a General Radiance Field for 3D Representation and Rendering	Alex Trevithick · , · Bo Yang	PDF	N/A
Neural Strokes: Stylized Line Drawing of 3D Shapes	Difan Liu · , · Matthew Fisher · , · Aaron Hertzmann · , · Evangelos Kalogerakis	PDF	N/A
Multimodal Knowledge Expansion	Zihui Xue · , · Sucheng Ren · , · Zhengqi Gao · , · Hang Zhao	PDF	N/A
Learning To Bundle-Adjust: A Graph Network Approach to Faster Optimization of Bundle Adjustment for Vehicular SLAM	Tetsuya Tanaka · , · Yukihiro Sasagawa · , · Takayuki Okatani	PDF	N/A
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection	Cheng Zhang · , · Tai-Yu Pan · , · Yandong Li · , · Hexiang Hu · , · Dong Xuan · , · Soravit Changpinyo · , · Boqing Gong · , · Wei-Lun Chao	PDF	N/A
Bringing Events Into Video Deblurring With Non-Consecutively Blurry Frames	Wei Shang · , · Dongwei Ren · , · Dongqing Zou · , · Jimmy S. Ren · , · Ping Luo · , · Wangmeng Zuo	PDF	N/A
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation	Qiangeng Xu · , · Yin Zhou · , · Weiyue Wang · , · Charles R. Qi · , · Dragomir Anguelov	PDF	N/A
Extreme-Quality Computational Imaging via Degradation Framework	Shiqi Chen · , · Huajun Feng · , · Keming Gao · , · Zhihai Xu · , · Yueting Chen	PDF	N/A
Direct Differentiable Augmentation Search	Aoming Liu · , · Zehao Huang · , · Zhiwu Huang · , · Naiyan Wang	PDF	N/A
The Functional Correspondence Problem	Zihang Lai · , · Senthil Purushwalkam · , · Abhinav Gupta	PDF	N/A
Detection and Continual Learning of Novel Face Presentation Attacks	Mohammad Rostami · , · Leonidas Spinoulas · , · Mohamed Hussein · , · Joe Mathai · , · Wael Abd-Almageed	PDF	N/A
Adaptive Adversarial Network for Source-Free Domain Adaptation	Haifeng Xia · , · Handong Zhao · , · Zhengming Ding	PDF	N/A
Painting From Part	Dongsheng Guo · , · Haoru Zhao · , · Yunhao Cheng · , · Haiyong Zheng · , · Zhaorui Gu · , · Bing Zheng	PDF	N/A
Attack-Guided Perceptual Data Generation for Real-World Re-Identification	Yukun Huang · , · Xueyang Fu · , · Zheng-Jun Zha	PDF	N/A
Parallel Multi-Resolution Fusion Network for Image Inpainting	Wentao Wang · , · Jianfu Zhang · , · Li Niu · , · Haoyu Ling · , · Xue Yang · , · Liqing Zhang	PDF	N/A
Joint Topology-Preserving and Feature-Refinement Network for Curvilinear Structure Segmentation	Mingfei Cheng · , · Kaili Zhao · , · Xuhong Guo · , · Yajing Xu · , · Jun Guo	PDF	N/A
MT-ORL: Multi-Task Occlusion Relationship Learning	Panhe Feng · , · Qi She · , · Lei Zhu · , · Jiaxin Li · , · Lin Zhang · , · Zijian Feng · , · Changhu Wang · , · Chunpeng Li · , · Xuejing Kang · , · Anlong Ming	PDF	N/A
Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions	Shuang Li · , · Yilun Du · , · Antonio Torralba · , · Josef Sivic · , · Bryan Russell	PDF	N/A
Generative Layout Modeling Using Constraint Graphs	Wamiq Para · , · Paul Guerrero · , · Tom Kelly · , · Leonidas J. Guibas · , · Peter Wonka	PDF	N/A
ZFlow: Gated Appearance Flow-Based Virtual Try-On With 3D Priors	Ayush Chopra · , · Rishabh Jain · , · Mayur Hemani · , · Balaji Krishnamurthy	PDF	N/A
Overfitting the Data: Compact Neural Video Delivery via Content-Aware Feature Modulation	Jiaming Liu · , · Ming Lu · , · Kaixin Chen · , · Xiaoqi Li · , · Shizun Wang · , · Zhaoqing Wang · , · Enhua Wu · , · Yurong Chen · , · Chuang Zhang · , · Ming Wu	PDF	N/A
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation	Weiyao Wang · , · Matt Feiszli · , · Heng Wang · , · Du Tran	PDF	N/A
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering	Pratyay Banerjee · , · Tejas Gokhale · , · Yezhou Yang · , · Chitta Baral	PDF	N/A
Task-Aware Part Mining Network for Few-Shot Learning	Jiamin Wu · , · Tianzhu Zhang · , · Yongdong Zhang · , · Feng Wu	PDF	N/A
Cascade Image Matting With Deformable Graph Refinement	Zijian Yu · , · Xuhui Li · , · Huijuan Huang · , · Wen Zheng · , · Li Chen	PDF	N/A
Geometric Unsupervised Domain Adaptation for Semantic Segmentation	Vitor Guizilini · , · Jie Li · , · Rareș Ambruș · , · Adrien Gaidon	PDF	N/A
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction	Moitreya Chatterjee · , · Narendra Ahuja · , · Anoop Cherian	PDF	N/A
PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks	Fotios Logothetis · , · Ignas Budvytis · , · Roberto Mecca · , · Roberto Cipolla	PDF	N/A
Dynamic Surface Function Networks for Clothed Human Bodies	Andrei Burov · , · Matthias Nießner · , · Justus Thies	PDF	N/A
Preservational Learning Improves Self-Supervised Medical Image Models by Reconstructing Diverse Contexts	Hong-Yu Zhou · , · Chixiang Lu · , · Sibei Yang · , · Xiaoguang Han · , · Yizhou Yu	PDF	N/A
Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework	Qingyu Song · , · Changan Wang · , · Zhengkai Jiang · , · Yabiao Wang · , · Ying Tai · , · Chengjie Wang · , · Jilin Li · , · Feiyue Huang · , · Yang Wu	PDF	N/A
The Right To Talk: An Audio-Visual Transformer Approach	Thanh-Dat Truong · , · Chi Nhan Duong · , · The De Vu · , · Hoang Anh Pham · , · Bhiksha Raj · , · Ngan Le · , · Khoa Luu	PDF	N/A
Neural Image Compression via Attentional Multi-Scale Back Projection and Frequency Decomposition	Ge Gao · , · Pei You · , · Rong Pan · , · Shunyuan Han · , · Yuanyuan Zhang · , · Yuchao Dai · , · Hojae Lee	PDF	N/A
Unpaired Learning for High Dynamic Range Image Tone Mapping	Yael Vinker · , · Inbar Huberman-Spiegelglas · , · Raanan Fattal	PDF	N/A
Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective	Wei Wang · , · Haochen Zhang · , · Zehuan Yuan · , · Changhu Wang	PDF	N/A
Unaligned Image-to-Image Translation by Learning to Reweight	Shaoan Xie · , · Mingming Gong · , · Yanwu Xu · , · Kun Zhang	PDF	N/A
OSCAR-Net: Object-Centric Scene Graph Attention for Image Attribution	Eric Nguyen · , · Tu Bui · , · Viswanathan Swaminathan · , · John Collomosse	PDF	N/A
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation	Jiteng Mu · , · Weichao Qiu · , · Adam Kortylewski · , · Alan Yuille · , · Nuno Vasconcelos · , · Xiaolong Wang	PDF	N/A
Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces	Jianhe Yuan · , · Zhihai He	PDF	N/A
Vision Transformer With Progressive Sampling	Xiaoyu Yue · , · Shuyang Sun · , · Zhanghui Kuang · , · Meng Wei · , · Philip H.S. Torr · , · Wayne Zhang · , · Dahua Lin	PDF	N/A
Exploring Long Tail Visual Relationship Recognition With Large Vocabulary	Sherif Abdelkarim · , · Aniket Agarwal · , · Panos Achlioptas · , · Jun Chen · , · Jiaji Huang · , · Boyang Li · , · Kenneth Church · , · Mohamed Elhoseiny	PDF	N/A
EM-POSE: 3D Human Pose Estimation From Sparse Electromagnetic Trackers	Manuel Kaufmann · , · Yi Zhao · , · Chengcheng Tang · , · Lingling Tao · , · Christopher Twigg · , · Jie Song · , · Robert Wang · , · Otmar Hilliges	PDF	N/A
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors	Osama Makansi · , · Özgün Çiçek · , · Yassine Marrakchi · , · Thomas Brox	PDF	N/A
Video Geo-Localization Employing Geo-Temporal Feature Learning and GPS Trajectory Smoothing	Krishna Regmi · , · Mubarak Shah	PDF	N/A
ICON: Learning Regular Maps Through Inverse Consistency	Hastings Greer · , · Roland Kwitt · , · François-Xavier Vialard · , · Marc Niethammer	PDF	N/A
ELF-VC: Efficient Learned Flexible-Rate Video Coding	Oren Rippel · , · Alexander G. Anderson · , · Kedar Tatwawadi · , · Sanjay Nair · , · Craig Lytle · , · Lubomir Bourdev	PDF	N/A
Structure-Preserving Deraining With Residue Channel Prior Guidance	Qiaosi Yi · , · Juncheng Li · , · Qinyan Dai · , · Faming Fang · , · Guixu Zhang · , · Tieyong Zeng	PDF	N/A
Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning	Qi Sun · , · Chen Bai · , · Tinghuan Chen · , · Hao Geng · , · Xinyun Zhang · , · Yang Bai · , · Bei Yu	PDF	N/A
Towards Complete Scene and Regular Shape for Distortion Rectification by Curve-Aware Extrapolation	Kang Liao · , · Chunyu Lin · , · Yunchao Wei · , · Feng Li · , · Shangrong Yang · , · Yao Zhao	PDF	N/A
ViewNet: Unsupervised Viewpoint Estimation From Conditional Generation	Octave Mariotti · , · Oisin Mac Aodha · , · Hakan Bilen	PDF	N/A
High-Resolution Optical Flow From 1D Attention and Correlation	Haofei Xu · , · Jiaolong Yang · , · Jianfei Cai · , · Juyong Zhang · , · Xin Tong	PDF	N/A
RGB-D Saliency Detection via Cascaded Mutual Information Minimization	Jing Zhang · , · Deng-Ping Fan · , · Yuchao Dai · , · Xin Yu · , · Yiran Zhong · , · Nick Barnes · , · Ling Shao	PDF	N/A
A Weakly Supervised Amodal Segmenter With Boundary Uncertainty Estimation	Khoi Nguyen · , · Sinisa Todorovic	PDF	N/A
Cross-Camera Convolutional Color Constancy	Mahmoud Afifi · , · Jonathan T. Barron · , · Chloe LeGendre · , · Yun-Ta Tsai · , · Francois Bleibel	PDF	N/A
Kernel Methods in Hyperbolic Spaces	Pengfei Fang · , · Mehrtash Harandi · , · Lars Petersson	PDF	N/A
Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation	Zhenbo Yu · , · Bingbing Ni · , · Jingwei Xu · , · Junjie Wang · , · Chenglong Zhao · , · Wenjun Zhang	PDF	N/A
Geometric Deep Neural Network Using Rigid and Non-Rigid Transformations for Human Action Recognition	Rasha Friji · , · Hassen Drira · , · Faten Chaieb · , · Hamza Kchok · , · Sebastian Kurtek	PDF	N/A
Enhanced Boundary Learning for Glass-Like Object Segmentation	Hao He · , · Xiangtai Li · , · Guangliang Cheng · , · Jianping Shi · , · Yunhai Tong · , · Gaofeng Meng · , · Véronique Prinet · , · LuBin Weng	PDF	N/A
Self-Supervised Pretraining of 3D Features on Any Point-Cloud	Zaiwei Zhang · , · Rohit Girdhar · , · Armand Joulin · , · Ishan Misra	PDF	N/A
N-ImageNet: Towards Robust, Fine-Grained Object Recognition With Event Cameras	Junho Kim · , · Jaehyeok Bae · , · Gangin Park · , · Dongsu Zhang · , · Young Min Kim	PDF	N/A
Diagonal Attention and Style-Based GAN for Content-Style Disentanglement in Image Generation and Translation	Gihyun Kwon · , · Jong Chul Ye	PDF	N/A
Who's Waldo? Linking People Across Text and Images	Yuqing Cui · , · Apoorv Khandelwal · , · Yoav Artzi · , · Noah Snavely · , · Hadar Averbuch-Elor	PDF	N/A
Switchable K-Class Hyperplanes for Noise-Robust Representation Learning	Boxiao Liu · , · Guanglu Song · , · Manyuan Zhang · , · Haihang You · , · Yu Liu	PDF	N/A
Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction	Guanglei Yang · , · Hao Tang · , · Mingli Ding · , · Nicu Sebe · , · Elisa Ricci	PDF	N/A
BlockPlanner: City Block Generation With Vectorized Graph Representation	Linning Xu · , · Yuanbo Xiangli · , · Anyi Rao · , · Nanxuan Zhao · , · Bo Dai · , · Ziwei Liu · , · Dahua Lin	PDF	N/A
PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds	Anh-Quan Cao · , · Gilles Puy · , · Alexandre Boulch · , · Renaud Marlet	PDF	N/A
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis	Yi Zhou · , · Lei Huang · , · Tao Zhou · , · Ling Shao	PDF	N/A
FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition	Lei Fan · , · Peixi Xiong · , · Wei Wei · , · Ying Wu	PDF	N/A
VLGrammar: Grounded Grammar Induction of Vision and Language	Yining Hong · , · Qing Li · , · Song-Chun Zhu · , · Siyuan Huang	PDF	N/A
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning	Yinbo Chen · , · Zhuang Liu · , · Huijuan Xu · , · Trevor Darrell · , · Xiaolong Wang	PDF	N/A
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds	Eric-Tuan Lê · , · Minhyuk Sung · , · Duygu Ceylan · , · Radomir Mech · , · Tamy Boubekeur · , · Niloy J. Mitra	PDF	N/A
PARTS: Unsupervised Segmentation With Slots, Attention and Independence Maximization	Daniel Zoran · , · Rishabh Kabra · , · Alexander Lerchner · , · Danilo J. Rezende	PDF	N/A
Fine-Grained Semantics-Aware Representation Enhancement for Self-Supervised Monocular Depth Estimation	Hyunyoung Jung · , · Eunhyeok Park · , · Sungjoo Yoo	PDF	N/A
Learning Signed Distance Field for Multi-View Surface Reconstruction	Jingyang Zhang · , · Yao Yao · , · Long Quan	PDF	N/A
Pose Correction for Highly Accurate Visual Localization in Large-Scale Indoor Spaces	Janghun Hyeon · , · Joohyung Kim · , · Nakju Doh	PDF	N/A
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction	Zhian Liu · , · Yongwei Nie · , · Chengjiang Long · , · Qing Zhang · , · Guiqing Li	PDF	N/A
PointBA: Towards Backdoor Attacks in 3D Point Cloud	Xinke Li · , · Zhirui Chen · , · Yue Zhao · , · Zekun Tong · , · Yabang Zhao · , · Andrew Lim · , · Joey Tianyi Zhou	PDF	N/A
Linguistically Routing Capsule Network for Out-of-Distribution Visual Question Answering	Qingxing Cao · , · Wentao Wan · , · Keze Wang · , · Xiaodan Liang · , · Liang Lin	PDF	N/A
Neural Articulated Radiance Field	Atsuhiro Noguchi · , · Xiao Sun · , · Stephen Lin · , · Tatsuya Harada	PDF	N/A
Region Similarity Representation Learning	Tete Xiao · , · Colorado J Reed · , · Xiaolong Wang · , · Kurt Keutzer · , · Trevor Darrell	PDF	N/A
Learning of Visual Relations: The Devil Is in the Tails	Alakh Desai · , · Tz-Ying Wu · , · Subarna Tripathi · , · Nuno Vasconcelos	PDF	N/A
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation	Ruihuang Li · , · Xu Jia · , · Jianzhong He · , · Shuaijun Chen · , · Qinghua Hu	PDF	N/A
BuildingNet: Learning To Label 3D Buildings	Pratheba Selvaraju · , · Mohamed Nabail · , · Marios Loizou · , · Maria Maslioukova · , · Melinos Averkiou · , · Andreas Andreou · , · Siddhartha Chaudhuri · , · Evangelos Kalogerakis	PDF	N/A
Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher	Yichen Zhu · , · Yi Wang	PDF	N/A
A Machine Teaching Framework for Scalable Recognition	Pei Wang · , · Nuno Vasconcelos	PDF	N/A
Divide and Conquer for Single-Frame Temporal Action Localization	Chen Ju · , · Peisen Zhao · , · Siheng Chen · , · Ya Zhang · , · Yanfeng Wang · , · Qi Tian	PDF	N/A
Real-World Video Super-Resolution: A Benchmark Dataset and a Decomposition Based Learning Scheme	Xi Yang · , · Wangmeng Xiang · , · Hui Zeng · , · Lei Zhang	PDF	N/A
Towards High Fidelity Monocular Face Reconstruction With Rich Reflectance Using Self-Supervised Learning and Ray Tracing	Abdallah Dib · , · Cédric Thébault · , · Junghyun Ahn · , · Philippe-Henri Gosselin · , · Christian Theobalt · , · Louis Chevallier	PDF	N/A
Frequency Domain Image Translation: More Photo-Realistic, Better Identity-Preserving	Mu Cai · , · Hong Zhang · , · Huijuan Huang · , · Qichuan Geng · , · Yixuan Li · , · Gao Huang	PDF	N/A
ASCNet: Self-Supervised Video Representation Learning With Appearance-Speed Consistency	Deng Huang · , · Wenhao Wu · , · Weiwen Hu · , · Xu Liu · , · Dongliang He · , · Zhihua Wu · , · Xiangmiao Wu · , · Mingkui Tan · , · Errui Ding	PDF	N/A
Improving Generalization of Batch Whitening by Convolutional Unit Optimization	Yooshin Cho · , · Hanbyel Cho · , · Youngsoo Kim · , · Junmo Kim	PDF	N/A
Motion Guided Attention Fusion To Recognize Interactions From Videos	Tae Soo Kim · , · Jonathan Jones · , · Gregory D. Hager	PDF	N/A
Statistically Consistent Saliency Estimation	Shunyan Luo · , · Emre Barut · , · Fang Jin	PDF	N/A
SLIDE: Single Image 3D Photography With Soft Layering and Depth-Aware Inpainting	Varun Jampani · , · Huiwen Chang · , · Kyle Sargent · , · Abhishek Kar · , · Richard Tucker · , · Michael Krainin · , · Dominik Kaeser · , · William T. Freeman · , · David Salesin · , · Brian Curless · , · Ce Liu	PDF	N/A
Learning Spatio-Temporal Transformer for Visual Tracking	Bin Yan · , · Houwen Peng · , · Jianlong Fu · , · Dong Wang · , · Huchuan Lu	PDF	N/A
From Contexts to Locality: Ultra-High Resolution Image Segmentation via Locality-Aware Contextual Correlation	Qi Li · , · Weixiang Yang · , · Wenxi Liu · , · Yuanlong Yu · , · Shengfeng He	PDF	N/A
Channel-Wise Knowledge Distillation for Dense Prediction	Changyong Shu · , · Yifan Liu · , · Jianfei Gao · , · Zheng Yan · , · Chunhua Shen	PDF	N/A
Multi-View 3D Reconstruction With Transformers	Dan Wang · , · Xinrui Cui · , · Xun Chen · , · Zhengxia Zou · , · Tianyang Shi · , · Septimiu Salcudean · , · Z. Jane Wang · , · Rabab Ward	PDF	N/A
From General to Specific: Informative Scene Graph Generation via Balance Adjustment	Yuyu Guo · , · Lianli Gao · , · Xuanhan Wang · , · Yuxuan Hu · , · Xing Xu · , · Xu Lu · , · Heng Tao Shen · , · Jingkuan Song	PDF	N/A
Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering	Bangbang Yang · , · Yinda Zhang · , · Yinghao Xu · , · Yijin Li · , · Han Zhou · , · Hujun Bao · , · Guofeng Zhang · , · Zhaopeng Cui	PDF	N/A
Practical Relative Order Attack in Deep Ranking	Mo Zhou · , · Le Wang · , · Zhenxing Niu · , · Qilin Zhang · , · Yinghui Xu · , · Nanning Zheng · , · Gang Hua	PDF	N/A
Unsupervised Layered Image Decomposition Into Object Prototypes	Tom Monnier · , · Elliot Vincent · , · Jean Ponce · , · Mathieu Aubry	PDF	N/A
Manifold Alignment for Semantically Aligned Style Transfer	Jing Huo · , · Shiyin Jin · , · Wenbin Li · , · Jing Wu · , · Yu-Kun Lai · , · Yinghuan Shi · , · Yang Gao	PDF	N/A
Defending Against Universal Adversarial Patches by Clipping Feature Norms	Cheng Yu · , · Jiansheng Chen · , · Youze Xue · , · Yuyang Liu · , · Weitao Wan · , · Jiayu Bao · , · Huimin Ma	PDF	N/A
Q-Match: Iterative Shape Matching via Quantum Annealing	Marcel Seelbach Benkner · , · Zorah Lähner · , · Vladislav Golyanik · , · Christof Wunderlich · , · Christian Theobalt · , · Michael Moeller	PDF	N/A
Fast Convergence of DETR With Spatially Modulated Co-Attention	Peng Gao · , · Minghang Zheng · , · Xiaogang Wang · , · Jifeng Dai · , · Hongsheng Li	PDF	N/A
Discovering Human Interactions With Large-Vocabulary Objects via Query and Multi-Scale Detection	Suchen Wang · , · Kim-Hui Yap · , · Henghui Ding · , · Jiyan Wu · , · Junsong Yuan · , · Yap-Peng Tan	PDF	N/A
T-AutoML: Automated Machine Learning for Lesion Segmentation Using Transformers in 3D Medical Imaging	Dong Yang · , · Andriy Myronenko · , · Xiaosong Wang · , · Ziyue Xu · , · Holger R. Roth · , · Daguang Xu	PDF	N/A
CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification	Chaoyou Fu · , · Yibo Hu · , · Xiang Wu · , · Hailin Shi · , · Tao Mei · , · Ran He	PDF	N/A
Learning To Better Segment Objects From Unseen Classes With Unlabeled Videos	Yuming Du · , · Yang Xiao · , · Vincent Lepetit	PDF	N/A
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation	Viraj Prabhu · , · Shivam Khare · , · Deeksha Kartik · , · Judy Hoffman	PDF	N/A
Self-Supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images	Yuan Rao · , · Jiangqun Ni	PDF	N/A
Unsupervised Point Cloud Object Co-Segmentation by Co-Contrastive Learning and Mutual Attention Sampling	Cheng-Kun Yang · , · Yung-Yu Chuang · , · Yen-Yu Lin	PDF	N/A
Meta Pairwise Relationship Distillation for Unsupervised Person Re-Identification	Haoxuanye Ji · , · Le Wang · , · Sanping Zhou · , · Wei Tang · , · Nanning Zheng · , · Gang Hua	PDF	N/A
Relational Embedding for Few-Shot Classification	Dahyun Kang · , · Heeseung Kwon · , · Juhong Min · , · Minsu Cho	PDF	N/A
Globally Optimal and Efficient Manhattan Frame Estimation by Delimiting Rotation Search Space	Wuwei Ge · , · Yu Song · , · Baichao Zhang · , · Zehua Dong	PDF	N/A
Robustness Certification for Point Cloud Models	Tobias Lorenz · , · Anian Ruoss · , · Mislav Balunović · , · Gagandeep Singh · , · Martin Vechev	PDF	N/A
Square Root Marginalization for Sliding-Window Bundle Adjustment	Nikolaus Demmel · , · David Schubert · , · Christiane Sommer · , · Daniel Cremers · , · Vladyslav Usenko	PDF	N/A
OpenForensics: Large-Scale Challenging Dataset for Multi-Face Forgery Detection and Segmentation In-the-Wild	Trung-Nghia Le · , · Huy H. Nguyen · , · Junichi Yamagishi · , · Isao Echizen	PDF	N/A
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling	Jingyun Liang · , · Andreas Lugmayr · , · Kai Zhang · , · Martin Danelljan · , · Luc Van Gool · , · Radu Timofte	PDF	N/A
Deep Symmetric Network for Underexposed Image Enhancement With Recurrent Attentional Learning	Lin Zhao · , · Shao-Ping Lu · , · Tao Chen · , · Zhenglu Yang · , · Ariel Shamir	PDF	N/A
Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification	Ziyu Wei · , · Xi Yang · , · Nannan Wang · , · Xinbo Gao	PDF	N/A
Estimating Egocentric 3D Human Pose in Global Space	Jian Wang · , · Lingjie Liu · , · Weipeng Xu · , · Kripasindhu Sarkar · , · Christian Theobalt	PDF	N/A
Re-Aging GAN: Toward Personalized Face Age Transformation	Farkhod Makhmudkhujaev · , · Sungeun Hong · , · In Kyu Park	PDF	N/A
SeLFVi: Self-Supervised Light-Field Video Reconstruction From Stereo Video	Prasan Shedligeri · , · Florian Schiffers · , · Sushobhan Ghosh · , · Oliver Cossairt · , · Kaushik Mitra	PDF	N/A
Cross-Encoder for Unsupervised Gaze Representation Learning	Yunjia Sun · , · Jiabei Zeng · , · Shiguang Shan · , · Xilin Chen	PDF	N/A
Towards Discriminative Representation Learning for Unsupervised Person Re-Identification	Takashi Isobe · , · Dong Li · , · Lu Tian · , · Weihua Chen · , · Yi Shan · , · Shengjin Wang	PDF	N/A
Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds	Mohammad Mostafavi · , · Kuk-Jin Yoon · , · Jonghyun Choi	PDF	N/A
When Do GANs Replicate? On the Choice of Dataset Size	Qianli Feng · , · Chenqi Guo · , · Fabian Benitez-Quiroz · , · Aleix M. Martinez	PDF	N/A
Just One Moment: Structural Vulnerability of Deep Action Recognition Against One Frame Attack	Jaehui Hwang · , · Jun-Hyuk Kim · , · Jun-Ho Choi · , · Jong-Seok Lee	PDF	N/A
Big Self-Supervised Models Advance Medical Image Classification	Shekoofeh Azizi · , · Basil Mustafa · , · Fiona Ryan · , · Zachary Beaver · , · Jan Freyberg · , · Jonathan Deaton · , · Aaron Loh · , · Alan Karthikesalingam · , · Simon Kornblith · , · Ting Chen · , · Vivek Natarajan · , · Mohammad Norouzi	PDF	N/A
Scene Context-Aware Salient Object Detection	Avishek Siris · , · Jianbo Jiao · , · Gary K.L. Tam · , · Xianghua Xie · , · Rynson W.H. Lau	PDF	N/A
Learning Frequency-Aware Dynamic Network for Efficient Super-Resolution	Wenbin Xie · , · Dehua Song · , · Chang Xu · , · Chunjing Xu · , · Hui Zhang · , · Yunhe Wang	PDF	N/A
Road Anomaly Detection by Partial Image Reconstruction With Segmentation Coupling	Tomas Vojir · , · Tomáš Šipka · , · Rahaf Aljundi · , · Nikolay Chumerin · , · Daniel Olmeda Reino · , · Jiri Matas	PDF	N/A
BossNAS: Exploring Hybrid CNN-Transformers With Block-Wisely Self-Supervised Neural Architecture Search	Changlin Li · , · Tao Tang · , · Guangrun Wang · , · Jiefeng Peng · , · Bing Wang · , · Xiaodan Liang · , · Xiaojun Chang	PDF	N/A
H2O: Two Hands Manipulating Objects for First Person Interaction Recognition	Taein Kwon · , · Bugra Tekin · , · Jan Stühmer · , · Federica Bogo · , · Marc Pollefeys	PDF	N/A
Residual Attention: A Simple but Effective Method for Multi-Label Recognition	Ke Zhu · , · Jianxin Wu	PDF	N/A
TransferI2I: Transfer Learning for Image-to-Image Translation From Small Datasets	Yaxing Wang · , · Héctor Laria · , · Joost van de Weijer · , · Laura Lopez-Fuentes · , · Bogdan Raducanu	PDF	N/A
On Generating Transferable Targeted Perturbations	Muzammal Naseer · , · Salman Khan · , · Munawar Hayat · , · Fahad Shahbaz Khan · , · Fatih Porikli	PDF	N/A
SynFace: Face Recognition With Synthetic Data	Haibo Qiu · , · Baosheng Yu · , · Dihong Gong · , · Zhifeng Li · , · Wei Liu · , · Dacheng Tao	PDF	N/A
Camera Distortion-Aware 3D Human Pose Estimation in Video With Optimization-Based Meta-Learning	Hanbyel Cho · , · Yooshin Cho · , · Jaemyung Yu · , · Junmo Kim	PDF	N/A
KiloNeRF: Speeding Up Neural Radiance Fields With Thousands of Tiny MLPs	Christian Reiser · , · Songyou Peng · , · Yiyi Liao · , · Andreas Geiger	PDF	N/A
Do Image Classifiers Generalize Across Time?	Vaishaal Shankar · , · Achal Dave · , · Rebecca Roelofs · , · Deva Ramanan · , · Benjamin Recht · , · Ludwig Schmidt	PDF	N/A
Refining Action Segmentation With Hierarchical Video Representations	Hyemin Ahn · , · Dongheui Lee	PDF	N/A
Hierarchical Disentangled Representation Learning for Outdoor Illumination Estimation and Editing	Piaopiao Yu · , · Jie Guo · , · Fan Huang · , · Cheng Zhou · , · Hongwei Che · , · Xiao Ling · , · Yanwen Guo	PDF	N/A
InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images	Anoop Cherian · , · Gonçalo Dias Pais · , · Siddarth Jain · , · Tim K. Marks · , · Alan Sullivan	PDF	N/A
High-Performance Discriminative Tracking With Transformers	Bin Yu · , · Ming Tang · , · Linyu Zheng · , · Guibo Zhu · , · Jinqiao Wang · , · Hao Feng · , · Xuetao Feng · , · Hanqing Lu	PDF	N/A
GraphFPN: Graph Feature Pyramid Network for Object Detection	Gangming Zhao · , · Weifeng Ge · , · Yizhou Yu	PDF	N/A
Self-Supervised 3D Hand Pose Estimation From Monocular RGB via Contrastive Learning	Adrian Spurr · , · Aneesh Dahiya · , · Xi Wang · , · Xucong Zhang · , · Otmar Hilliges	PDF	N/A
NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras	Lin Zhu · , · Jianing Li · , · Xiao Wang · , · Tiejun Huang · , · Yonghong Tian	PDF	N/A
Admix: Enhancing the Transferability of Adversarial Attacks	Xiaosen Wang · , · Xuanran He · , · Jingdong Wang · , · Kun He	PDF	N/A
ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning	Sangho Lee · , · Jiwan Chung · , · Youngjae Yu · , · Gunhee Kim · , · Thomas Breuel · , · Gal Chechik · , · Yale Song	PDF	N/A
Local Temperature Scaling for Probability Calibration	Zhipeng Ding · , · Xu Han · , · Peirong Liu · , · Marc Niethammer	PDF	N/A
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation	Jianyun Xu · , · Ruixiang Zhang · , · Jian Dou · , · Yushi Zhu · , · Jie Sun · , · Shiliang Pu	PDF	N/A
WarpedGANSpace: Finding Non-Linear RBF Paths in GAN Latent Space	Christos Tzelepis · , · Georgios Tzimiropoulos · , · Ioannis Patras	PDF	N/A
CodeNeRF: Disentangled Neural Radiance Fields for Object Categories	Wonbong Jang · , · Lourdes Agapito	PDF	N/A
Infinite Nature: Perpetual View Generation of Natural Scenes From a Single Image	Andrew Liu · , · Richard Tucker · , · Varun Jampani · , · Ameesh Makadia · , · Noah Snavely · , · Angjoo Kanazawa	PDF	N/A
Generic Attention-Model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers	Hila Chefer · , · Shir Gur · , · Lior Wolf	PDF	N/A
Real-Time Image Enhancer via Learnable Spatial-Aware 3D Lookup Tables	Tao Wang · , · Yong Li · , · Jingyang Peng · , · Yipeng Ma · , · Xian Wang · , · Fenglong Song · , · Youliang Yan	PDF	N/A
STAR: A Structure-Aware Lightweight Transformer for Real-Time Image Enhancement	Zhaoyang Zhang · , · Yitong Jiang · , · Jun Jiang · , · Xiaogang Wang · , · Ping Luo · , · Jinwei Gu	PDF	N/A
Continuous Copy-Paste for One-Stage Multi-Object Tracking and Segmentation	Zhenbo Xu · , · Ajin Meng · , · Zhenbo Shi · , · Wei Yang · , · Zhi Chen · , · Liusheng Huang	PDF	N/A
Hand-Object Contact Consistency Reasoning for Human Grasps Generation	Hanwen Jiang · , · Shaowei Liu · , · Jiashun Wang · , · Xiaolong Wang	PDF	N/A
FashionMirror: Co-Attention Feature-Remapping Virtual Try-On With Sequential Template Poses	Chieh-Yun Chen · , · Ling Lo · , · Pin-Jui Huang · , · Hong-Han Shuai · , · Wen-Huang Cheng	PDF	N/A
Reconcile Prediction Consistency for Balanced Object Detection	Keyang Wang · , · Lei Zhang	PDF	N/A
Confidence Calibration for Domain Generalization Under Covariate Shift	Yunye Gong · , · Xiao Lin · , · Yi Yao · , · Thomas G. Dietterich · , · Ajay Divakaran · , · Melinda Gervasio	PDF	N/A
Self-Supervised Video Representation Learning With Meta-Contrastive Network	Yuanze Lin · , · Xun Guo · , · Yan Lu	PDF	N/A
A Confidence-Based Iterative Solver of Depths and Surface Normals for Deep Multi-View Stereo	Wang Zhao · , · Shaohui Liu · , · Yi Wei · , · Hengkai Guo · , · Yong-Jin Liu	PDF	N/A
Unsupervised Depth Completion With Calibrated Backprojection Layers	Alex Wong · , · Stefano Soatto	PDF	N/A
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval	Max Bain · , · Arsha Nagrani · , · Gül Varol · , · Andrew Zisserman	PDF	N/A
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks	Khoa Doan · , · Yingjie Lao · , · Weijie Zhao · , · Ping Li	PDF	N/A
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes	Dongki Jung · , · Jaehoon Choi · , · Yonghan Lee · , · Deokhwa Kim · , · Changick Kim · , · Dinesh Manocha · , · Donghwan Lee	PDF	N/A
Click To Move: Controlling Video Generation With Sparse Motion	Pierfrancesco Ardino · , · Marco De Nadai · , · Bruno Lepri · , · Elisa Ricci · , · Stéphane Lathuilière	PDF	N/A
Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization	Weihan Chen · , · Peisong Wang · , · Jian Cheng	PDF	N/A
Dual-Camera Super-Resolution With Aligned Attention Modules	Tengfei Wang · , · Jiaxin Xie · , · Wenxiu Sun · , · Qiong Yan · , · Qifeng Chen	PDF	N/A
NASOA: Towards Faster Task-Oriented Online Fine-Tuning With a Zoo of Models	Hang Xu · , · Ning Kang · , · Gengwei Zhang · , · Chuanlong Xie · , · Xiaodan Liang · , · Zhenguo Li	PDF	N/A
RandomRooms: Unsupervised Pre-Training From Synthetic Shapes and Randomized Layouts for 3D Object Detection	Yongming Rao · , · Benlin Liu · , · Yi Wei · , · Jiwen Lu · , · Cho-Jui Hsieh · , · Jie Zhou	PDF	N/A
From Continuity to Editability: Inverting GANs With Consecutive Images	Yangyang Xu · , · Yong Du · , · Wenpeng Xiao · , · Xuemiao Xu · , · Shengfeng He	PDF	N/A
GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning	Haipeng Li · , · Kunming Luo · , · Shuaicheng Liu	PDF	N/A
Towards Discovery and Attribution of Open-World GAN Generated Images	Sharath Girish · , · Saksham Suri · , · Sai Saketh Rambhatla · , · Abhinav Shrivastava	PDF	N/A
Vector Neurons: A General Framework for SO(3)-Equivariant Networks	Congyue Deng · , · Or Litany · , · Yueqi Duan · , · Adrien Poulenard · , · Andrea Tagliasacchi · , · Leonidas J. Guibas	PDF	N/A
Integer-Arithmetic-Only Certified Robustness for Quantized Neural Networks	Haowen Lin · , · Jian Lou · , · Li Xiong · , · Cyrus Shahabi	PDF	N/A
Video-Based Person Re-Identification With Spatial and Temporal Memory Networks	Chanho Eom · , · Geon Lee · , · Junghyup Lee · , · Bumsub Ham	PDF	N/A
Conformer: Local Features Coupling Global Representations for Visual Recognition	Zhiliang Peng · , · Wei Huang · , · Shanzhi Gu · , · Lingxi Xie · , · Yaowei Wang · , · Jianbin Jiao · , · Qixiang Ye	PDF	N/A
Lightweight Multi-Person Total Motion Capture Using Sparse Multi-View Cameras	Yuxiang Zhang · , · Zhe Li · , · Liang An · , · Mengcheng Li · , · Tao Yu · , · Yebin Liu	PDF	N/A
AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-Directional Metric Learning	Hong Wang · , · Yuefan Deng · , · Shinjae Yoo · , · Haibin Ling · , · Yuewei Lin	PDF	N/A
Revealing the Reciprocal Relations Between Self-Supervised Stereo and Monocular Depth Estimation	Zhi Chen · , · Xiaoqing Ye · , · Wei Yang · , · Zhenbo Xu · , · Xiao Tan · , · Zhikang Zou · , · Errui Ding · , · Xinming Zhang · , · Liusheng Huang	PDF	N/A
MGSampler: An Explainable Sampling Strategy for Video Action Recognition	Yuan Zhi · , · Zhan Tong · , · Limin Wang · , · Gangshan Wu	PDF	N/A
Robust 2D/3D Vehicle Parsing in Arbitrary Camera Views for CVIS	Hui Miao · , · Feixiang Lu · , · Zongdai Liu · , · Liangjun Zhang · , · Dinesh Manocha · , · Bin Zhou	PDF	N/A
Recurrent Mask Refinement for Few-Shot Medical Image Segmentation	Hao Tang · , · Xingwei Liu · , · Shanlin Sun · , · Xiangyi Yan · , · Xiaohui Xie	PDF	N/A
ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation	Kai Li · , · Chang Liu · , · Handong Zhao · , · Yulun Zhang · , · Yun Fu	PDF	N/A
WaveFill: A Wavelet-Based Generation Network for Image Inpainting	Yingchen Yu · , · Fangneng Zhan · , · Shijian Lu · , · Jianxiong Pan · , · Feiying Ma · , · Xuansong Xie · , · Chunyan Miao	PDF	N/A
Egocentric Pose Estimation From Human Vision Span	Hao Jiang · , · Vamsi Krishna Ithapu	PDF	N/A
Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation	Hui Zhang · , · Henghui Ding	PDF	N/A
GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion	Cheng Chi · , · Shuran Song	PDF	N/A
Reliably Fast Adversarial Training via Latent Adversarial Perturbation	Geon Yeong Park · , · Sang Wan Lee	PDF	N/A
R-SLAM: Optimizing Eye Tracking From Rolling Shutter Video of the Retina	Jay Shenoy · , · James Fong · , · Jeffrey Tan · , · Austin Roorda · , · Ren Ng	PDF	N/A
Inference of Black Hole Fluid-Dynamics From Sparse Interferometric Measurements	Aviad Levis · , · Daeyoung Lee · , · Joel A. Tropp · , · Charles F. Gammie · , · Katherine L. Bouman	PDF	N/A
Monocular, One-Stage, Regression of Multiple 3D People	Yu Sun · , · Qian Bao · , · Wu Liu · , · Yili Fu · , · Michael J. Black · , · Tao Mei	PDF	N/A
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation	Qiqi Gu · , · Qianyu Zhou · , · Minghao Xu · , · Zhengyang Feng · , · Guangliang Cheng · , · Xuequan Lu · , · Jianping Shi · , · Lizhuang Ma	PDF	N/A
Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering	Corentin Dancette · , · Rémi Cadène · , · Damien Teney · , · Matthieu Cord	PDF	N/A
H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction	Eduard Ramon · , · Gil Triginer · , · Janna Escur · , · Albert Pumarola · , · Jaime Garcia · , · Xavier Giró-i-Nieto · , · Francesc Moreno-Noguer	PDF	N/A
Image Harmonization With Transformer	Zonghui Guo · , · Dongsheng Guo · , · Haiyong Zheng · , · Zhaorui Gu · , · Bing Zheng · , · Junyu Dong	PDF	N/A
Video Question Answering Using Language-Guided Deep Compressed-Domain Video Feature	Nayoung Kim · , · Seong Jong Ha · , · Je-Won Kang	PDF	N/A
Human Pose Regression With Residual Log-Likelihood Estimation	Jiefeng Li · , · Siyuan Bian · , · Ailing Zeng · , · Can Wang · , · Bo Pang · , · Wentao Liu · , · Cewu Lu	PDF	N/A
Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis	Nikhil Singh · , · Jeff Mentch · , · Jerry Ng · , · Matthew Beveridge · , · Iddo Drori	PDF	N/A
Boosting Monocular Depth Estimation With Lightweight 3D Point Fusion	Lam Huynh · , · Phong Nguyen · , · Jiří Matas · , · Esa Rahtu · , · Janne Heikkilä	PDF	N/A
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition	Hangjie Yuan · , · Dong Ni · , · Mang Wang	PDF	N/A
Removing the Bias of Integral Pose Regression	Kerui Gu · , · Linlin Yang · , · Angela Yao	PDF	N/A
High Quality Disparity Remapping With Two-Stage Warping	Bing Li · , · Chia-Wen Lin · , · Cheng Zheng · , · Shan Liu · , · Junsong Yuan · , · Bernard Ghanem · , · C.-C. Jay Kuo	PDF	N/A
TrivialAugment: Tuning-Free Yet State-of-the-Art Data Augmentation	Samuel G. Müller · , · Frank Hutter	PDF	N/A
Learning To Discover Reflection Symmetry via Polar Matching Convolution	Ahyun Seo · , · Woohyeon Shim · , · Minsu Cho	PDF	N/A
Holistic Pose Graph: Modeling Geometric Structure Among Objects in a Scene Using Graph Inference for 3D Object Prediction	Jiwei Xiao · , · Ruiping Wang · , · Xilin Chen	PDF	N/A
Crossover Learning for Fast Online Video Instance Segmentation	Shusheng Yang · , · Yuxin Fang · , · Xinggang Wang · , · Yu Li · , · Chen Fang · , · Ying Shan · , · Bin Feng · , · Wenyu Liu	PDF	N/A
3DIAS: 3D Shape Reconstruction With Implicit Algebraic Surfaces	Mohsen Yavartanoo · , · Jaeyoung Chung · , · Reyhaneh Neshatavar · , · Kyoung Mu Lee	PDF	N/A
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection	Limeng Qiao · , · Yuxuan Zhao · , · Zhiyuan Li · , · Xi Qiu · , · Jianan Wu · , · Chi Zhang	PDF	N/A
Multiview Pseudo-Labeling for Semi-Supervised Learning From Video	Bo Xiong · , · Haoqi Fan · , · Kristen Grauman · , · Christoph Feichtenhofer	PDF	N/A
SketchLattice: Latticed Representation for Sketch Manipulation	Yonggang Qi · , · Guoyao Su · , · Pinaki Nath Chowdhury · , · Mingkang Li · , · Yi-Zhe Song	PDF	N/A
Aligning Latent and Image Spaces To Connect the Unconnectable	Ivan Skorokhodov · , · Grigorii Sotnikov · , · Mohamed Elhoseiny	PDF	N/A
End-to-End Trainable Trident Person Search Network Using Adaptive Gradient Propagation	Byeong-Ju Han · , · Kuhyeun Ko · , · Jae-Young Sim	PDF	N/A
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton	Wencan Cheng · , · Jae Hyun Park · , · Jong Hwan Ko	PDF	N/A
Learning Deep Local Features With Multiple Dynamic Attentions for Large-Scale Image Retrieval	Hui Wu · , · Min Wang · , · Wengang Zhou · , · Houqiang Li	PDF	N/A
Polarimetric Helmholtz Stereopsis	Yuqi Ding · , · Yu Ji · , · Mingyuan Zhou · , · Sing Bing Kang · , · Jinwei Ye	PDF	N/A
Motion Prediction Using Trajectory Cues	Zhenguang Liu · , · Pengxiang Su · , · Shuang Wu · , · Xuanjing Shen · , · Haipeng Chen · , · Yanbin Hao · , · Meng Wang	PDF	N/A
Generalized Source-Free Domain Adaptation	Shiqi Yang · , · Yaxing Wang · , · Joost van de Weijer · , · Luis Herranz · , · Shangling Jui	PDF	N/A
DisUnknown: Distilling Unknown Factors for Disentanglement Learning	Sitao Xiang · , · Yuming Gu · , · Pengda Xiang · , · Menglei Chai · , · Hao Li · , · Yajie Zhao · , · Mingming He	PDF	N/A
Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images	Kyungsu Lee · , · Haeyun Lee · , · Jae Youn Hwang	PDF	N/A
3D Building Reconstruction From Monocular Remote Sensing Images	Weijia Li · , · Lingxuan Meng · , · Jinwang Wang · , · Conghui He · , · Gui-Song Xia · , · Dahua Lin	PDF	N/A
Multi-Scale Separable Network for Ultra-High-Definition Video Deblurring	Senyou Deng · , · Wenqi Ren · , · Yanyang Yan · , · Tao Wang · , · Fenglong Song · , · Xiaochun Cao	PDF	N/A
Baking Neural Radiance Fields for Real-Time View Synthesis	Peter Hedman · , · Pratul P. Srinivasan · , · Ben Mildenhall · , · Jonathan T. Barron · , · Paul Debevec	PDF	N/A
Parallel Rectangle Flip Attack: A Query-Based Black-Box Attack Against Object Detection	Siyuan Liang · , · Baoyuan Wu · , · Yanbo Fan · , · Xingxing Wei · , · Xiaochun Cao	PDF	N/A
ALADIN: All Layer Adaptive Instance Normalization for Fine-Grained Style Similarity	Dan Ruta · , · Saeid Motiian · , · Baldo Faieta · , · Zhe Lin · , · Hailin Jin · , · Alex Filipkowski · , · Andrew Gilbert · , · John Collomosse	PDF	N/A
Visio-Temporal Attention for Multi-Camera Multi-Target Association	Yu-Jhe Li · , · Xinshuo Weng · , · Yan Xu · , · Kris M. Kitani	PDF	N/A
A Light Stage on Every Desk	Soumyadip Sengupta · , · Brian Curless · , · Ira Kemelmacher-Shlizerman · , · Steven M. Seitz	PDF	N/A
Multi-Level Curriculum for Training a Distortion-Aware Barrel Distortion Rectification Model	Kang Liao · , · Chunyu Lin · , · Lixin Liao · , · Yao Zhao · , · Weiyao Lin	PDF	N/A
DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation	Mohammad Mahdi Johari · , · Camilla Carta · , · François Fleuret	PDF	N/A
GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition	Xuan Son Nguyen	PDF	N/A
Learning Dynamic Interpolation for Extremely Sparse Light Fields With Wide Baselines	Mantang Guo · , · Jing Jin · , · Hui Liu · , · Junhui Hou	PDF	N/A
Ultra-High-Definition Image HDR Reconstruction via Collaborative Bilateral Learning	Zhuoran Zheng · , · Wenqi Ren · , · Xiaochun Cao · , · Tao Wang · , · Xiuyi Jia	PDF	N/A
Visual Relationship Detection Using Part-and-Sum Transformers With Composite Queries	Qi Dong · , · Zhuowen Tu · , · Haofu Liao · , · Yuting Zhang · , · Vijay Mahadevan · , · Stefano Soatto	PDF	N/A
SLAMP: Stochastic Latent Appearance and Motion Prediction	Adil Kaan Akan · , · Erkut Erdem · , · Aykut Erdem · , · Fatma Güney	PDF	N/A
Learning To Diversify for Single Domain Generalization	Zijian Wang · , · Yadan Luo · , · Ruihong Qiu · , · Zi Huang · , · Mahsa Baktashmotlagh	PDF	N/A
CPF: Learning a Contact Potential Field To Model the Hand-Object Interaction	Lixin Yang · , · Xinyu Zhan · , · Kailin Li · , · Wenqiang Xu · , · Jiefeng Li · , · Cewu Lu	PDF	N/A
Sensor-Guided Optical Flow	Matteo Poggi · , · Filippo Aleotti · , · Stefano Mattoccia	PDF	N/A
Wasserstein Coupled Graph Learning for Cross-Modal Retrieval	Yun Wang · , · Tong Zhang · , · Xueya Zhang · , · Zhen Cui · , · Yuge Huang · , · Pengcheng Shen · , · Shaoxin Li · , · Jian Yang	PDF	N/A
ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment	Yangyu Huang · , · Hao Yang · , · Chong Li · , · Jongyoo Kim · , · Fangyun Wei	PDF	N/A
Pixel-Perfect Structure-From-Motion With Featuremetric Refinement	Philipp Lindenberger · , · Paul-Edouard Sarlin · , · Viktor Larsson · , · Marc Pollefeys	PDF	N/A
BiaSwap: Removing Dataset Bias With Bias-Tailored Swapping Augmentation	Eungyeup Kim · , · Jihyeon Lee · , · Jaegul Choo	PDF	N/A
GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition	Bo Liu · , · Haoxiang Li · , · Hao Kang · , · Gang Hua · , · Nuno Vasconcelos	PDF	N/A
Distance-Aware Quantization	Dohyung Kim · , · Junghyup Lee · , · Bumsub Ham	PDF	N/A
Shape-Biased Domain Generalization via Shock Graph Embeddings	Maruthi Narayanan · , · Vickram Rajendran · , · Benjamin Kimia	PDF	N/A
PixelSynth: Generating a 3D-Consistent Experience From a Single Image	Chris Rockwell · , · David F. Fouhey · , · Justin Johnson	PDF	N/A
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video	Edgar Tretschk · , · Ayush Tewari · , · Vladislav Golyanik · , · Michael Zollhöfer · , · Christoph Lassner · , · Christian Theobalt	PDF	N/A
Learning To Cut by Watching Movies	Alejandro Pardo · , · Fabian Caba · , · Juan Léon Alcázar · , · Ali K. Thabet · , · Bernard Ghanem	PDF	N/A
Sketch2Mesh: Reconstructing and Editing 3D Shapes From Sketches	Benoit Guillard · , · Edoardo Remelli · , · Pierre Yvernay · , · Pascal Fua	PDF	N/A
Generic Event Boundary Detection: A Benchmark for Event Segmentation	Mike Zheng Shou · , · Stan Weixian Lei · , · Weiyao Wang · , · Deepti Ghadiyaram · , · Matt Feiszli	PDF	N/A
How Shift Equivariance Impacts Metric Learning for Instance Segmentation	Josef Lorenz Rumberger · , · Xiaoyan Yu · , · Peter Hirsch · , · Melanie Dohmen · , · Vanessa Emanuela Guarino · , · Ashkan Mokarian · , · Lisa Mais · , · Jan Funke · , · Dagmar Kainmüller	PDF	N/A
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation	Elias Kassapis · , · Georgi Dikov · , · Deepak K. Gupta · , · Cedric Nugteren	PDF	N/A
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction	Yucheng Zhao · , · Guangting Wang · , · Chong Luo · , · Wenjun Zeng · , · Zheng-Jun Zha	PDF	N/A
Personalized Image Semantic Segmentation	Yu Zhang · , · Chang-Bin Zhang · , · Peng-Tao Jiang · , · Ming-Ming Cheng · , · Feng Mao	PDF	N/A
Fooling LiDAR Perception via Adversarial Trajectory Perturbation	Yiming Li · , · Congcong Wen · , · Felix Juefei-Xu · , · Chen Feng	PDF	N/A
Extreme Structure From Motion for Indoor Panoramas Without Visual Overlaps	Mohammad Amin Shabani · , · Weilian Song · , · Makoto Odamaki · , · Hirochika Fujiki · , · Yasutaka Furukawa	PDF	N/A
Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection	Miao Zhang · , · Jie Liu · , · Yifei Wang · , · Yongri Piao · , · Shunyu Yao · , · Wei Ji · , · Jingjing Li · , · Huchuan Lu · , · Zhongxuan Luo	PDF	N/A
Boosting the Generalization Capability in Cross-Domain Few-Shot Learning via Noise-Enhanced Supervised Autoencoder	Hanwen Liang · , · Qiong Zhang · , · Peng Dai · , · Juwei Lu	PDF	N/A
Fake It Till You Make It: Face Analysis in the Wild Using Synthetic Data Alone	Erroll Wood · , · Tadas Baltrušaitis · , · Charlie Hewitt · , · Sebastian Dziadzio · , · Thomas J. Cashman · , · Jamie Shotton	PDF	N/A
StereOBJ-1M: Large-Scale Stereo Image Dataset for 6D Object Pose Estimation	Xingyu Liu · , · Shun Iwase · , · Kris M. Kitani	PDF	N/A
Predictive Feature Learning for Future Segmentation Prediction	Zihang Lin · , · Jiangxin Sun · , · Jian-Fang Hu · , · Qizhi Yu · , · Jian-Huang Lai · , · Wei-Shi Zheng	PDF	N/A
PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net With Discrete Feedback Learning	Yang Tang · , · Wangding Zeng · , · Dafei Zhao · , · Honggang Zhang	PDF	N/A
NPMs: Neural Parametric Models for 3D Deformable Shapes	Pablo Palafox · , · Aljaž Božič · , · Justus Thies · , · Matthias Nießner · , · Angela Dai	PDF	N/A
Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images With Artificial Neural Networks	Alireza Naghizadeh · , · Hongye Xu · , · Mohab Mohamed · , · Dimitris N. Metaxas · , · Dongfang Liu	PDF	N/A
NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-View Stereo	Yi Wei · , · Shaohui Liu · , · Yongming Rao · , · Wang Zhao · , · Jiwen Lu · , · Jie Zhou	PDF	N/A
When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes	Philipp Bomatter · , · Mengmi Zhang · , · Dimitar Karev · , · Spandan Madan · , · Claire Tseng · , · Gabriel Kreiman	PDF	N/A
You Don't Only Look Once: Constructing Spatial-Temporal Memory for Integrated 3D Object Detection and Tracking	Jiaming Sun · , · Yiming Xie · , · Siyu Zhang · , · Linghao Chen · , · Guofeng Zhang · , · Hujun Bao · , · Xiaowei Zhou	PDF	N/A
Learning With Memory-Based Virtual Classes for Deep Metric Learning	Byungsoo Ko · , · Geonmo Gu · , · Han-Gyu Kim	PDF	N/A
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation	Rui Peng · , · Ronggang Wang · , · Yawen Lai · , · Luyang Tang · , · Yangang Cai	PDF	N/A
SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation	Xuning Shao · , · Weidong Zhang	PDF	N/A
Sub-Bit Neural Networks: Learning To Compress and Accelerate Binary Neural Networks	Yikai Wang · , · Yi Yang · , · Fuchun Sun · , · Anbang Yao	PDF	N/A
Interacting Two-Hand 3D Pose and Shape Reconstruction From Single Color Image	Baowen Zhang · , · Yangang Wang · , · Xiaoming Deng · , · Yinda Zhang · , · Ping Tan · , · Cuixia Ma · , · Hongan Wang	PDF	N/A
CODEs: Chamfer Out-of-Distribution Examples Against Overconfidence Issue	Keke Tang · , · Dingruibo Miao · , · Weilong Peng · , · Jianpeng Wu · , · Yawen Shi · , · Zhaoquan Gu · , · Zhihong Tian · , · Wenping Wang	PDF	N/A
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process	Fei Ye · , · Adrian G. Bors	PDF	N/A
LayoutTransformer: Layout Generation and Completion With Self-Attention	Kamal Gupta · , · Justin Lazarow · , · Alessandro Achille · , · Larry S. Davis · , · Vijay Mahadevan · , · Abhinav Shrivastava	PDF	N/A
The Power of Points for Modeling Humans in Clothing	Qianli Ma · , · Jinlong Yang · , · Siyu Tang · , · Michael J. Black	PDF	N/A
Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy	Colin L. Cooke · , · Fanjie Kong · , · Amey Chaware · , · Kevin C. Zhou · , · Kanghyun Kim · , · Rong Xu · , · D. Michael Ando · , · Samuel J. Yang · , · Pavan Chandra Konda · , · Roarke Horstmeyer	PDF	N/A
Dynamic Attentive Graph Learning for Image Restoration	Chong Mou · , · Jian Zhang · , · Zhuoyuan Wu	PDF	N/A
Adversarial Unsupervised Domain Adaptation With Conditional and Label Shift: Infer, Align and Iterate	Xiaofeng Liu · , · Zhenhua Guo · , · Site Li · , · Fangxu Xing · , · Jane You · , · C.-C. Jay Kuo · , · Georges El Fakhri · , · Jonghye Woo	PDF	N/A
Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection	Hanxue Liang · , · Chenhan Jiang · , · Dapeng Feng · , · Xin Chen · , · Hang Xu · , · Xiaodan Liang · , · Wei Zhang · , · Zhenguo Li · , · Luc Van Gool	PDF	N/A
Learning Meta-Class Memory for Few-Shot Semantic Segmentation	Zhonghua Wu · , · Xiangxi Shi · , · Guosheng Lin · , · Jianfei Cai	PDF	N/A
Semi-Supervised Active Learning With Temporal Output Discrepancy	Siyu Huang · , · Tianyang Wang · , · Haoyi Xiong · , · Jun Huan · , · Dejing Dou	PDF	N/A
Learning Cross-Modal Contrastive Features for Video Domain Adaptation	Donghyun Kim · , · Yi-Hsuan Tsai · , · Bingbing Zhuang · , · Xiang Yu · , · Stan Sclaroff · , · Kate Saenko · , · Manmohan Chandraker	PDF	N/A
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration	Yezhen Wang · , · Bo Li · , · Tong Che · , · Kaiyang Zhou · , · Ziwei Liu · , · Dongsheng Li	PDF	N/A
Sat2Vid: Street-View Panoramic Video Synthesis From a Single Satellite Image	Zuoyue Li · , · Zhenqiang Li · , · Zhaopeng Cui · , · Rongjun Qin · , · Marc Pollefeys · , · Martin R. Oswald	PDF	N/A
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization	Haoyue Bai · , · Fengwei Zhou · , · Lanqing Hong · , · Nanyang Ye · , · S.-H. Gary Chan · , · Zhenguo Li	PDF	N/A
Hierarchical Aggregation for 3D Instance Segmentation	Shaoyu Chen · , · Jiemin Fang · , · Qian Zhang · , · Wenyu Liu · , · Xinggang Wang	PDF	N/A
Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification	Zhuoning Yuan · , · Yan Yan · , · Milan Sonka · , · Tianbao Yang	PDF	N/A
A Simple Baseline for Semi-Supervised Semantic Segmentation With Strong Data Augmentation	Jianlong Yuan · , · Yifan Liu · , · Chunhua Shen · , · Zhibin Wang · , · Hao Li	PDF	N/A
Ground-Truth or DAER: Selective Re-Query of Secondary Information	Stephan J. Lemmer · , · Jason J. Corso	PDF	N/A
Evidential Deep Learning for Open Set Action Recognition	Wentao Bao · , · Qi Yu · , · Yu Kong	PDF	N/A
Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation	Zhuangwei Zhuang · , · Rong Li · , · Kui Jia · , · Qicheng Wang · , · Yuanqing Li · , · Mingkui Tan	PDF	N/A
UVStyle-Net: Unsupervised Few-Shot Learning of 3D Style Similarity Measure for B-Reps	Peter Meltzer · , · Hooman Shayani · , · Amir Khasahmadi · , · Pradeep Kumar Jayaraman · , · Aditya Sanghi · , · Joseph Lambourne	PDF	N/A
End-to-End Dense Video Captioning With Parallel Decoding	Teng Wang · , · Ruimao Zhang · , · Zhichao Lu · , · Feng Zheng · , · Ran Cheng · , · Ping Luo	PDF	N/A
StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement	Yuda Song · , · Hui Qian · , · Xin Du	PDF	N/A
Can Shape Structure Features Improve Model Robustness Under Diverse Adversarial Settings?	Mingjie Sun · , · Zichao Li · , · Chaowei Xiao · , · Haonan Qiu · , · Bhavya Kailkhura · , · Mingyan Liu · , · Bo Li	PDF	N/A
Multi-Class Cell Detection Using Spatial Context Representation	Shahira Abousamra · , · David Belinsky · , · John Van Arnam · , · Felicia Allard · , · Eric Yee · , · Rajarsi Gupta · , · Tahsin Kurc · , · Dimitris Samaras · , · Joel Saltz · , · Chao Chen	PDF	N/A
Learning by Aligning: Visible-Infrared Person Re-Identification Using Cross-Modal Correspondences	Hyunjong Park · , · Sanghoon Lee · , · Junghyup Lee · , · Bumsub Ham	PDF	N/A
Localize to Binauralize: Audio Spatialization From Visual Sound Source Localization	Kranthi Kumar Rachavarapu · , · Aakanksha · , · Vignesh Sundaresha · , · A. N. Rajagopalan	PDF	N/A
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-Tree Complex Wavelet Representation and Contradict Channel Loss	Wei-Ting Chen · , · Hao-Yu Fang · , · Cheng-Lin Hsieh · , · Cheng-Che Tsai · , · I-Hsiang Chen · , · Jian-Jiun Ding · , · Sy-Yen Kuo	PDF	N/A
MINE: Towards Continuous Depth MPI With NeRF for Novel View Synthesis	Jiaxin Li · , · Zijian Feng · , · Qi She · , · Henghui Ding · , · Changhu Wang · , · Gim Hee Lee	PDF	N/A
LoFGAN: Fusing Local Representations for Few-Shot Image Generation	Zheng Gu · , · Wenbin Li · , · Jing Huo · , · Lei Wang · , · Yang Gao	PDF	N/A
Grafit: Learning Fine-Grained Image Representations With Coarse Labels	Hugo Touvron · , · Alexandre Sablayrolles · , · Matthijs Douze · , · Matthieu Cord · , · Hervé Jégou	PDF	N/A
Rethinking the Truly Unsupervised Image-to-Image Translation	Kyungjune Baek · , · Yunjey Choi · , · Youngjung Uh · , · Jaejun Yoo · , · Hyunjung Shim	PDF	N/A
Point-Based Modeling of Human Clothing	Ilya Zakharkin · , · Kirill Mazur · , · Artur Grigorev · , · Victor Lempitsky	PDF	N/A
Equivariant Imaging: Learning Beyond the Range Space	Dongdong Chen · , · Julián Tachella · , · Mike E. Davies	PDF	N/A
Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting	Lei Zhu · , · Ke Xu · , · Zhanghan Ke · , · Rynson W.H. Lau	PDF	N/A
Joint Representation Learning and Novel Category Discovery on Single- and Multi-Modal Data	Xuhui Jia · , · Kai Han · , · Yukun Zhu · , · Bradley Green	PDF	N/A
Sparse Needlets for Lighting Estimation With Spherical Transport Loss	Fangneng Zhan · , · Changgong Zhang · , · Wenbo Hu · , · Shijian Lu · , · Feiying Ma · , · Xuansong Xie · , · Ling Shao	PDF	N/A
CANet: A Context-Aware Network for Shadow Removal	Zipei Chen · , · Chengjiang Long · , · Ling Zhang · , · Chunxia Xiao	PDF	N/A
Semantic Perturbations With Normalizing Flows for Improved Generalization	Oguz Kaan Yüksel · , · Sebastian U. Stich · , · Martin Jaggi · , · Tatjana Chavdarova	PDF	N/A
Audio-Visual Floorplan Reconstruction	Senthil Purushwalkam · , · Sebastià Vicenc Amengual Garí · , · Vamsi Krishna Ithapu · , · Carl Schissler · , · Philip Robinson · , · Abhinav Gupta · , · Kristen Grauman	PDF	N/A
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments	Pan Ji · , · Runze Li · , · Bir Bhanu · , · Yi Xu	PDF	N/A
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-Life 3D Category Reconstruction	Jeremy Reizenstein · , · Roman Shapovalov · , · Philipp Henzler · , · Luca Sbordone · , · Patrick Labatut · , · David Novotny	PDF	N/A
Reconstructing Hand-Object Interactions in the Wild	Zhe Cao · , · Ilija Radosavovic · , · Angjoo Kanazawa · , · Jitendra Malik	PDF	N/A
TOOD: Task-Aligned One-Stage Object Detection	Chengjian Feng · , · Yujie Zhong · , · Yu Gao · , · Matthew R. Scott · , · Weilin Huang	PDF	N/A
Generalizable Mixed-Precision Quantization via Attribution Rank Preservation	Ziwei Wang · , · Han Xiao · , · Jiwen Lu · , · Jie Zhou	PDF	N/A
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation	Inkyu Shin · , · Dong-Jin Kim · , · Jae Won Cho · , · Sanghyun Woo · , · Kwanyong Park · , · In So Kweon	PDF	N/A
SPEC: Seeing People in the Wild With an Estimated Camera	Muhammed Kocabas · , · Chun-Hao P. Huang · , · Joachim Tesch · , · Lea Müller · , · Otmar Hilliges · , · Michael J. Black	PDF	N/A
Binocular Mutual Learning for Improving Few-Shot Classification	Ziqi Zhou · , · Xi Qiu · , · Jiangtao Xie · , · Jianan Wu · , · Chi Zhang	PDF	N/A
Distilling Holistic Knowledge With Graph Neural Networks	Sheng Zhou · , · Yucheng Wang · , · Defang Chen · , · Jiawei Chen · , · Xin Wang · , · Can Wang · , · Jiajun Bu	PDF	N/A
Towards Robustness of Deep Neural Networks via Regularization	Yao Li · , · Martin Renqiang Min · , · Thomas Lee · , · Wenchao Yu · , · Erik Kruus · , · Wei Wang · , · Cho-Jui Hsieh	PDF	N/A
STEM: An Approach to Multi-Source Domain Adaptation With Guarantees	Van-Anh Nguyen · , · Tuan Nguyen · , · Trung Le · , · Quan Hung Tran · , · Dinh Phung	PDF	N/A
Divide and Contrast: Self-Supervised Learning From Uncurated Data	Yonglong Tian · , · Olivier J. Hénaff · , · Aäron van den Oord	PDF	N/A
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation	Yunhang Shen · , · Liujuan Cao · , · Zhiwei Chen · , · Baochang Zhang · , · Chi Su · , · Yongjian Wu · , · Feiyue Huang · , · Rongrong Ji	PDF	N/A
IntraTomo: Self-Supervised Learning-Based Tomography via Sinogram Synthesis and Prediction	Guangming Zang · , · Ramzi Idoughi · , · Rui Li · , · Peter Wonka · , · Wolfgang Heidrich	PDF	N/A
Towards Real-World X-Ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection	Renshuai Tao · , · Yanlu Wei · , · Xiangjian Jiang · , · Hainan Li · , · Haotong Qin · , · Jiakai Wang · , · Yuqing Ma · , · Libo Zhang · , · Xianglong Liu	PDF	N/A
Differentiable Surface Rendering via Non-Differentiable Sampling	Forrester Cole · , · Kyle Genova · , · Avneesh Sud · , · Daniel Vlasic · , · Zhoutong Zhang	PDF	N/A
Distillation-Guided Image Inpainting	Maitreya Suin · , · Kuldeep Purohit · , · A. N. Rajagopalan	PDF	N/A
Real-Time Instance Segmentation With Discriminative Orientation Maps	Wentao Du · , · Zhiyu Xiang · , · Shuya Chen · , · Chengyu Qiao · , · Yiman Chen · , · Tingming Bai	PDF	N/A
Segmenter: Transformer for Semantic Segmentation	Robin Strudel · , · Ricardo Garcia · , · Ivan Laptev · , · Cordelia Schmid	PDF	N/A
IDARTS: Interactive Differentiable Architecture Search	Song Xue · , · Runqi Wang · , · Baochang Zhang · , · Tian Wang · , · Guodong Guo · , · David Doermann	PDF	N/A
AutoSpace: Neural Architecture Search With Less Human Interference	Daquan Zhou · , · Xiaojie Jin · , · Xiaochen Lian · , · Linjie Yang · , · Yujing Xue · , · Qibin Hou · , · Jiashi Feng	PDF	N/A
Evolving Search Space for Neural Architecture Search	Yuanzheng Ci · , · Chen Lin · , · Ming Sun · , · Boyu Chen · , · Hongwen Zhang · , · Wanli Ouyang	PDF	N/A
THDA: Treasure Hunt Data Augmentation for Semantic Navigation	Oleksandr Maksymets · , · Vincent Cartillier · , · Aaron Gokaslan · , · Erik Wijmans · , · Wojciech Galuba · , · Stefan Lee · , · Dhruv Batra	PDF	N/A
Tripartite Information Mining and Integration for Image Matting	Yuhao Liu · , · Jiake Xie · , · Xiao Shi · , · Yu Qiao · , · Yujie Huang · , · Yong Tang · , · Xin Yang	PDF	N/A
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition	Shaoli Huang · , · Xinchao Wang · , · Dacheng Tao	PDF	N/A
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning	Zhirui Dai · , · Yuepeng Jiang · , · Yi Li · , · Bo Liu · , · Antoni B. Chan · , · Nuno Vasconcelos	PDF	N/A
Pyramid Architecture Search for Real-Time Image Deblurring	Xiaobin Hu · , · Wenqi Ren · , · Kaicheng Yu · , · Kaihao Zhang · , · Xiaochun Cao · , · Wei Liu · , · Bjoern Menze	PDF	N/A
TransForensics: Image Forgery Localization With Dense Self-Attention	Jing Hao · , · Zhixin Zhang · , · Shicai Yang · , · Di Xie · , · Shiliang Pu	PDF	N/A
Joint Audio-Visual Deepfake Detection	Yipin Zhou · , · Ser-Nam Lim	PDF	N/A
Objects As Cameras: Estimating High-Frequency Illumination From Shadows	Tristan Swedish · , · Connor Henley · , · Ramesh Raskar	PDF	N/A
Time-Equivariant Contrastive Video Representation Learning	Simon Jenni · , · Hailin Jin	PDF	N/A
Dynamical Pose Estimation	Heng Yang · , · Chris Doran · , · Jean-Jacques Slotine	PDF	N/A
Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images	Size Wu · , · Sheng Jin · , · Wentao Liu · , · Lei Bai · , · Chen Qian · , · Dong Liu · , · Wanli Ouyang	PDF	N/A
Learning Fast Sample Re-Weighting Without Reward Data	Zizhao Zhang · , · Tomas Pfister	PDF	N/A
Multi-Anchor Active Domain Adaptation for Semantic Segmentation	Munan Ning · , · Donghuan Lu · , · Dong Wei · , · Cheng Bian · , · Chenglang Yuan · , · Shuang Yu · , · Kai Ma · , · Yefeng Zheng	PDF	N/A
C3-SemiSeg: Contrastive Semi-Supervised Segmentation via Cross-Set Learning and Dynamic Class-Balancing	Yanning Zhou · , · Hang Xu · , · Wei Zhang · , · Bin Gao · , · Pheng-Ann Heng	PDF	N/A
PyMAF: 3D Human Pose and Shape Regression With Pyramidal Mesh Alignment Feedback Loop	Hongwen Zhang · , · Yating Tian · , · Xinchi Zhou · , · Wanli Ouyang · , · Yebin Liu · , · Limin Wang · , · Zhenan Sun	PDF	N/A
COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-Training for Vision-Language Representation	Keyu Wen · , · Jin Xia · , · Yuanyuan Huang · , · Linyang Li · , · Jiayan Xu · , · Jie Shao	PDF	N/A
KoDF: A Large-Scale Korean DeepFake Detection Dataset	Patrick Kwon · , · Jaeseong You · , · Gyuhyeon Nam · , · Sungwoo Park · , · Gyeongsu Chae	PDF	N/A
Radial Distortion Invariant Factorization for Structure From Motion	José Pedro Iglesias · , · Carl Olsson	PDF	N/A
LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments	Henry Howard-Jenkins · , · Jose-Raul Ruiz-Sarmiento · , · Victor Adrian Prisacariu	PDF	N/A
Learning Privacy-Preserving Optics for Human Pose Estimation	Carlos Hinojosa · , · Juan Carlos Niebles · , · Henry Arguello	PDF	N/A
EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo	Xinjun Ma · , · Yue Gong · , · Qirui Wang · , · Jingwei Huang · , · Lei Chen · , · Fan Yu	PDF	N/A
Full-Velocity Radar Returns by Radar-Camera Fusion	Yunfei Long · , · Daniel Morris · , · Xiaoming Liu · , · Marcos Castro · , · Punarjay Chakravarty · , · Praveen Narayanan	PDF	N/A
Toward Realistic Single-View 3D Object Reconstruction With Unsupervised Learning From Multiple Images	Long-Nhat Ho · , · Anh Tuan Tran · , · Quynh Phung · , · Minh Hoai	PDF	N/A
MVSNeRF: Fast Generalizable Radiance Field Reconstruction From Multi-View Stereo	Anpei Chen · , · Zexiang Xu · , · Fuqiang Zhao · , · Xiaoshuai Zhang · , · Fanbo Xiang · , · Jingyi Yu · , · Hao Su	PDF	N/A
Transforms Based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery via Convex Optimization	Canyi Lu	PDF	N/A
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields	Jonathan T. Barron · , · Ben Mildenhall · , · Matthew Tancik · , · Peter Hedman · , · Ricardo Martin-Brualla · , · Pratul P. Srinivasan	PDF	N/A
Uniformity in Heterogeneity: Diving Deep Into Count Interval Partition for Crowd Counting	Changan Wang · , · Qingyu Song · , · Boshen Zhang · , · Yabiao Wang · , · Ying Tai · , · Xuyi Hu · , · Chengjie Wang · , · Jilin Li · , · Jiayi Ma · , · Yang Wu	PDF	N/A
HDR Video Reconstruction: A Coarse-To-Fine Network and a Real-World Benchmark Dataset	Guanying Chen · , · Chaofeng Chen · , · Shi Guo · , · Zhetong Liang · , · Kwan-Yee K. Wong · , · Lei Zhang	PDF	N/A
Self Supervision to Distillation for Long-Tailed Visual Recognition	Tianhao Li · , · Limin Wang · , · Gangshan Wu	PDF	N/A
Learning To Track With Object Permanence	Pavel Tokmakov · , · Jie Li · , · Wolfram Burgard · , · Adrien Gaidon	PDF	N/A
Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection	Fan Yang · , · Qiang Zhai · , · Xin Li · , · Rui Huang · , · Ao Luo · , · Hong Cheng · , · Deng-Ping Fan	PDF	N/A
Deep Co-Training With Task Decomposition for Semi-Supervised Domain Adaptation	Luyu Yang · , · Yan Wang · , · Mingfei Gao · , · Abhinav Shrivastava · , · Kilian Q. Weinberger · , · Wei-Lun Chao · , · Ser-Nam Lim	PDF	N/A
Dual Projection Generative Adversarial Networks for Conditional Image Generation	Ligong Han · , · Martin Renqiang Min · , · Anastasis Stathopoulos · , · Yu Tian · , · Ruijiang Gao · , · Asim Kadav · , · Dimitris N. Metaxas	PDF	N/A
EventHPE: Event-Based 3D Human Pose and Shape Estimation	Shihao Zou · , · Chuan Guo · , · Xinxin Zuo · , · Sen Wang · , · Pengyu Wang · , · Xiaoqin Hu · , · Shoushun Chen · , · Minglun Gong · , · Li Cheng	PDF	N/A
Synchronization of Group-Labelled Multi-Graphs	Andrea Porfiri Dal Cin · , · Luca Magri · , · Federica Arrigoni · , · Andrea Fusiello · , · Giacomo Boracchi	PDF	N/A
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction	Michael Oechsle · , · Songyou Peng · , · Andreas Geiger	PDF	N/A
CTRL-C: Camera Calibration TRansformer With Line-Classification	Jinwoo Lee · , · Hyunsung Go · , · Hyunjoon Lee · , · Sunghyun Cho · , · Minhyuk Sung · , · Junho Kim	PDF	N/A
Parsing Table Structures in the Wild	Rujiao Long · , · Wen Wang · , · Nan Xue · , · Feiyu Gao · , · Zhibo Yang · , · Yongpan Wang · , · Gui-Song Xia	PDF	N/A
Spatio-Temporal Representation Factorization for Video-Based Person Re-Identification	Abhishek Aich · , · Meng Zheng · , · Srikrishna Karanam · , · Terrence Chen · , · Amit K. Roy-Chowdhury · , · Ziyan Wu	PDF	N/A
CondLaneNet: A Top-To-Down Lane Detection Framework Based on Conditional Convolution	Lizhe Liu · , · Xiaohao Chen · , · Siyu Zhu · , · Ping Tan	PDF	N/A
Adversarial Attacks on Multi-Agent Communication	James Tu · , · Tsunhsuan Wang · , · Jingkang Wang · , · Sivabalan Manivasagam · , · Mengye Ren · , · Raquel Urtasun	PDF	N/A
TransPose: Keypoint Localization via Transformer	Sen Yang · , · Zhibin Quan · , · Mu Nie · , · Wankou Yang	PDF	N/A
Vector-Decomposed Disentanglement for Domain-Invariant Object Detection	Aming Wu · , · Rui Liu · , · Yahong Han · , · Linchao Zhu · , · Yi Yang	PDF	N/A
Topologically Consistent Multi-View Face Inference Using Volumetric Sampling	Tianye Li · , · Shichen Liu · , · Timo Bolkart · , · Jiayi Liu · , · Hao Li · , · Yajie Zhao	PDF	N/A
IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID	Yongxing Dai · , · Jun Liu · , · Yifan Sun · , · Zekun Tong · , · Chi Zhang · , · Ling-Yu Duan	PDF	N/A
Robust Watermarking for Deep Neural Networks via Bi-Level Optimization	Peng Yang · , · Yingjie Lao · , · Ping Li	PDF	N/A
Efficient Video Compression via Content-Adaptive Super-Resolution	Mehrdad Khani · , · Vibhaalakshmi Sivaraman · , · Mohammad Alizadeh	PDF	N/A
Video Annotation for Visual Tracking via Selection and Refinement	Kenan Dai · , · Jie Zhao · , · Lijun Wang · , · Dong Wang · , · Jianhua Li · , · Huchuan Lu · , · Xuesheng Qian · , · Xiaoyun Yang	PDF	N/A
A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder	Yujun Cai · , · Yiwei Wang · , · Yiheng Zhu · , · Tat-Jen Cham · , · Jianfei Cai · , · Junsong Yuan · , · Jun Liu · , · Chuanxia Zheng · , · Sijie Yan · , · Henghui Ding · , · Xiaohui Shen · , · Ding Liu · , · Nadia Magnenat Thalmann	PDF	N/A
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing	Brevin Tilmon · , · Sanjeev J. Koppal	PDF	N/A
Safety-Aware Motion Prediction With Unseen Vehicles for Autonomous Driving	Xuanchi Ren · , · Tao Yang · , · Li Erran Li · , · Alexandre Alahi · , · Qifeng Chen	PDF	N/A
Mesh Graphormer	Kevin Lin · , · Lijuan Wang · , · Zicheng Liu	PDF	N/A
CrossNorm and SelfNorm for Generalization Under Distribution Shifts	Zhiqiang Tang · , · Yunhe Gao · , · Yi Zhu · , · Zhi Zhang · , · Mu Li · , · Dimitris N. Metaxas	PDF	N/A
Elaborative Rehearsal for Zero-Shot Action Recognition	Shizhe Chen · , · Dong Huang	PDF	N/A
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization	Hyolim Kang · , · Kyungmin Kim · , · Yumin Ko · , · Seon Joo Kim	PDF	N/A
Joint Visual and Audio Learning for Video Highlight Detection	Taivanbat Badamdorj · , · Mrigank Rochan · , · Yang Wang · , · Li Cheng	PDF	N/A
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition	Xueting Zhang · , · Debin Meng · , · Henry Gouk · , · Timothy M. Hospedales	PDF	N/A
Towards Interpretable Deep Metric Learning With Structural Matching	Wenliang Zhao · , · Yongming Rao · , · Ziyi Wang · , · Jiwen Lu · , · Jie Zhou	PDF	N/A
Weakly Supervised Text-Based Person Re-Identification	Shizhen Zhao · , · Changxin Gao · , · Yuanjie Shao · , · Wei-Shi Zheng · , · Nong Sang	PDF	N/A
Learning Temporal Dynamics From Cycles in Narrated Video	Dave Epstein · , · Jiajun Wu · , · Cordelia Schmid · , · Chen Sun	PDF	N/A
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning	Tyler R. Scott · , · Andrew C. Gallagher · , · Michael C. Mozer	PDF	N/A
Multiple Heads Are Better Than One: Few-Shot Font Generation With Multiple Localized Experts	Song Park · , · Sanghyuk Chun · , · Junbum Cha · , · Bado Lee · , · Hyunjung Shim	PDF	N/A
Me-Momentum: Extracting Hard Confident Examples From Noisily Labeled Data	Yingbin Bai · , · Tongliang Liu	PDF	N/A
mDALU: Multi-Source Domain Adaptation and Label Unification With Partial Datasets	Rui Gong · , · Dengxin Dai · , · Yuhua Chen · , · Wen Li · , · Luc Van Gool	PDF	N/A
Collaging Class-Specific GANs for Semantic Image Synthesis	Yuheng Li · , · Yijun Li · , · Jingwan Lu · , · Eli Shechtman · , · Yong Jae Lee · , · Krishna Kumar Singh	PDF	N/A
Meta Navigator: Search for a Good Adaptation Policy for Few-Shot Learning	Chi Zhang · , · Henghui Ding · , · Guosheng Lin · , · Ruibo Li · , · Changhu Wang · , · Chunhua Shen	PDF	N/A
Occlusion-Aware Video Object Inpainting	Lei Ke · , · Yu-Wing Tai · , · Chi-Keung Tang	PDF	N/A
TransFER: Learning Relation-Aware Facial Expression Representations With Transformers	Fanglei Xue · , · Qiangchang Wang · , · Guodong Guo	PDF	N/A
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval	Frederik Warburg · , · Martin Jørgensen · , · Javier Civera · , · Søren Hauberg	PDF	N/A
Manifold Matching via Deep Metric Learning for Generative Modeling	Mengyu Dai · , · Haibin Hang	PDF	N/A
ProFlip: Targeted Trojan Attack With Progressive Bit Flips	Huili Chen · , · Cheng Fu · , · Jishen Zhao · , · Farinaz Koushanfar	PDF	N/A
AutoFormer: Searching Transformers for Visual Recognition	Minghao Chen · , · Houwen Peng · , · Jianlong Fu · , · Haibin Ling	PDF	N/A
Mining Latent Classes for Few-Shot Segmentation	Lihe Yang · , · Wei Zhuo · , · Lei Qi · , · Yinghuan Shi · , · Yang Gao	PDF	N/A
Active Learning for Deep Object Detection via Probabilistic Modeling	Jiwoong Choi · , · Ismail Elezi · , · Hyuk-Jae Lee · , · Clement Farabet · , · Jose M. Alvarez	PDF	N/A
Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID	Peixian Chen · , · Wenfeng Liu · , · Pingyang Dai · , · Jianzhuang Liu · , · Qixiang Ye · , · Mingliang Xu · , · Qi’an Chen · , · Rongrong Ji	PDF	N/A
Towards Accurate Alignment in Real-Time 3D Hand-Mesh Reconstruction	Xiao Tang · , · Tianyu Wang · , · Chi-Wing Fu	PDF	N/A
Searching for Controllable Image Restoration Networks	Heewon Kim · , · Sungyong Baik · , · Myungsub Choi · , · Janghoon Choi · , · Kyoung Mu Lee	PDF	N/A
Cross-Category Video Highlight Detection via Set-Based Learning	Minghao Xu · , · Hang Wang · , · Bingbing Ni · , · Riheng Zhu · , · Zhenbang Sun · , · Changhu Wang	PDF	N/A
Attention Is Not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion	Tao Liang · , · Guosheng Lin · , · Lei Feng · , · Yan Zhang · , · Fengmao Lv	PDF	N/A
Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset With Mechatronic Alignment	Ruixing Wang · , · Xiaogang Xu · , · Chi-Wing Fu · , · Jiangbo Lu · , · Bei Yu · , · Jiaya Jia	PDF	N/A
AdvRush: Searching for Adversarially Robust Neural Architectures	Jisoo Mok · , · Byunggook Na · , · Hyeokjun Choe · , · Sungroh Yoon	PDF	N/A
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain	Guangyao Chen · , · Peixi Peng · , · Li Ma · , · Jia Li · , · Lin Du · , · Yonghong Tian	PDF	N/A
Mean Shift for Self-Supervised Learning	Soroush Abbasi Koohpayegani · , · Ajinkya Tejankar · , · Hamed Pirsiavash	PDF	N/A
Speech Drives Templates: Co-Speech Gesture Synthesis With Learned Templates	Shenhan Qian · , · Zhi Tu · , · Yihao Zhi · , · Wen Liu · , · Shenghua Gao	PDF	N/A
Improving Robustness Against Common Corruptions With Frequency Biased Models	Tonmoy Saikia · , · Cordelia Schmid · , · Thomas Brox	PDF	N/A
AdvDrop: Adversarial Attack to DNNs by Dropping Information	Ranjie Duan · , · Yuefeng Chen · , · Dantong Niu · , · Yun Yang · , · A. K. Qin · , · Yuan He	PDF	N/A
HuMoR: 3D Human Motion Model for Robust Pose Estimation	Davis Rempe · , · Tolga Birdal · , · Aaron Hertzmann · , · Jimei Yang · , · Srinath Sridhar · , · Leonidas J. Guibas	PDF	N/A
Class Semantics-Based Attention for Action Detection	Deepak Sridhar · , · Niamul Quader · , · Srikanth Muralidharan · , · Yaoxin Li · , · Peng Dai · , · Juwei Lu	PDF	N/A
Adaptive Graph Convolution for Point Cloud Analysis	Haoran Zhou · , · Yidan Feng · , · Mingsheng Fang · , · Mingqiang Wei · , · Jing Qin · , · Tong Lu	PDF	N/A
Adversarial Attack on Deep Cross-Modal Hamming Retrieval	Chao Li · , · Shangqian Gao · , · Cheng Deng · , · Wei Liu · , · Heng Huang	PDF	N/A
UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching	Yamin Mao · , · Zhihua Liu · , · Weiming Li · , · Yuchao Dai · , · Qiang Wang · , · Yun-Tae Kim · , · Hong-Seok Lee	PDF	N/A
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds	Jaeyeon Kim · , · Binh-Son Hua · , · Thanh Nguyen · , · Sai-Kit Yeung	PDF	N/A
MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions	Yixuan Li · , · Lei Chen · , · Runyu He · , · Zhenzhi Wang · , · Gangshan Wu · , · Limin Wang	PDF	N/A
Triggering Failures: Out-of-Distribution Detection by Learning From Local Adversarial Attacks in Semantic Segmentation	Victor Besnier · , · Andrei Bursuc · , · David Picard · , · Alexandre Briot	PDF	N/A
Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration	Soroush Seifi · , · Abhishek Jha · , · Tinne Tuytelaars	PDF	N/A
Field Convolutions for Surface CNNs	Thomas W. Mitchel · , · Vladimir G. Kim · , · Michael Kazhdan	PDF	N/A
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks	Zoe Landgraf · , · Raluca Scona · , · Tristan Laidlow · , · Stephen James · , · Stefan Leutenegger · , · Andrew J. Davison	PDF	N/A
Weakly Supervised Person Search With Region Siamese Networks	Chuchu Han · , · Kai Su · , · Dongdong Yu · , · Zehuan Yuan · , · Changxin Gao · , · Nong Sang · , · Yi Yang · , · Changhu Wang	PDF	N/A
Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation	Haoang Li · , · Kai Chen · , · Pyojin Kim · , · Kuk-Jin Yoon · , · Zhe Liu · , · Kyungdon Joo · , · Yun-Hui Liu	PDF	N/A
Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks	Wei Fang · , · Zhaofei Yu · , · Yanqi Chen · , · Timothée Masquelier · , · Tiejun Huang · , · Yonghong Tian	PDF	N/A
Real-Time Vanishing Point Detector Integrating Under-Parameterized RANSAC and Hough Transform	Jianping Wu · , · Liang Zhang · , · Ye Liu · , · Ke Chen	PDF	N/A
Pose Invariant Topological Memory for Visual Navigation	Asuto Taniguchi · , · Fumihiro Sasaki · , · Ryota Yamashina	PDF	N/A
Shape Self-Correction for Unsupervised Point Cloud Understanding	Ye Chen · , · Jinxian Liu · , · Bingbing Ni · , · Hang Wang · , · Jiancheng Yang · , · Ning Liu · , · Teng Li · , · Qi Tian	PDF	N/A
ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement	Yuval Alaluf · , · Or Patashnik · , · Daniel Cohen-Or	PDF	N/A
Low-Rank Tensor Completion by Approximating the Tensor Average Rank	Zhanliang Wang · , · Junyu Dong · , · Xinguo Liu · , · Xueying Zeng	PDF	N/A
Dissecting Image Crops	Basile Van Hoorick · , · Carl Vondrick	PDF	N/A
Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes	Mingjun Yin · , · Shasha Li · , · Zikui Cai · , · Chengyu Song · , · M. Salman Asif · , · Amit K. Roy-Chowdhury · , · Srikanth V. Krishnamurthy	PDF	N/A
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation	Yuanyi Zhong · , · Bodi Yuan · , · Hong Wu · , · Zhiqiang Yuan · , · Jian Peng · , · Yu-Xiong Wang	PDF	N/A
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation	Sanghun Jung · , · Jungsoo Lee · , · Daehoon Gwak · , · Sungha Choi · , · Jaegul Choo	PDF	N/A
SIGNET: Efficient Neural Representation for Light Fields	Brandon Yushan Feng · , · Amitabh Varshney	PDF	N/A
Cross-Descriptor Visual Localization and Mapping	Mihai Dusmanu · , · Ondrej Miksik · , · Johannes L. Schönberger · , · Marc Pollefeys	PDF	N/A
Understanding and Evaluating Racial Biases in Image Captioning	Dora Zhao · , · Angelina Wang · , · Olga Russakovsky	PDF	N/A
Panoptic Narrative Grounding	Cristina González · , · Nicolás Ayobi · , · Isabela Hernández · , · José Hernández · , · Jordi Pont-Tuset · , · Pablo Arbeláez	PDF	N/A
Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning	Yu Tian · , · Guansong Pang · , · Yuanhong Chen · , · Rajvinder Singh · , · Johan W. Verjans · , · Gustavo Carneiro	PDF	N/A
Learning an Augmented RGB Representation With Cross-Modal Knowledge Distillation for Action Detection	Rui Dai · , · Srijan Das · , · François Bremond	PDF	N/A
VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers	Shichen Liu · , · Yichao Zhou · , · Yajie Zhao	PDF	N/A
Deep Survival Analysis With Longitudinal X-Rays for COVID-19	Michelle Shu · , · Richard Strong Bowen · , · Charles Herrmann · , · Gengmo Qi · , · Michele Santacatterina · , · Ramin Zabih	PDF	N/A
Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss	Jung Hyun Lee · , · Jihun Yun · , · Sung Ju Hwang · , · Eunho Yang	PDF	N/A
Continual Prototype Evolution: Learning Online From Non-Stationary Data Streams	Matthias De Lange · , · Tinne Tuytelaars	PDF	N/A
Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning	Michalis Lazarou · , · Tania Stathaki · , · Yannis Avrithis	PDF	N/A
Striking a Balance Between Stability and Plasticity for Class-Incremental Learning	Guile Wu · , · Shaogang Gong · , · Pan Li	PDF	N/A
Few-Shot and Continual Learning With Attentive Independent Mechanisms	Eugene Lee · , · Cheng-Han Huang · , · Chen-Yi Lee	PDF	N/A
Trash To Treasure: Harvesting OOD Data With Cross-Modal Matching for Open-Set Semi-Supervised Learning	Junkai Huang · , · Chaowei Fang · , · Weikai Chen · , · Zhenhua Chai · , · Xiaolin Wei · , · Pengxu Wei · , · Liang Lin · , · Guanbin Li	PDF	N/A
AdaFit: Rethinking Learning-Based Normal Estimation on Point Clouds	Runsong Zhu · , · Yuan Liu · , · Zhen Dong · , · Yuan Wang · , · Tengping Jiang · , · Wenping Wang · , · Bisheng Yang	PDF	N/A
Regularizing Nighttime Weirdness: Efficient Self-Supervised Monocular Depth Estimation in the Dark	Kun Wang · , · Zhenyu Zhang · , · Zhiqiang Yan · , · Xiang Li · , · Baobei Xu · , · Jun Li · , · Jian Yang	PDF	N/A
Occluded Person Re-Identification With Single-Scale Global Representations	Cheng Yan · , · Guansong Pang · , · Jile Jiao · , · Xiao Bai · , · Xuetao Feng · , · Chunhua Shen	PDF	N/A
Nerfies: Deformable Neural Radiance Fields	Keunhong Park · , · Utkarsh Sinha · , · Jonathan T. Barron · , · Sofien Bouaziz · , · Dan B Goldman · , · Steven M. Seitz · , · Ricardo Martin-Brualla	PDF	N/A
Towards Novel Target Discovery Through Open-Set Domain Adaptation	Taotao Jing · , · Hongfu Liu · , · Zhengming Ding	PDF	N/A
Interpretable Visual Reasoning via Induced Symbolic Space	Zhonghao Wang · , · Kai Wang · , · Mo Yu · , · Jinjun Xiong · , · Wen-mei Hwu · , · Mark Hasegawa-Johnson · , · Humphrey Shi	PDF	N/A
Generalizing Gaze Estimation With Outlier-Guided Collaborative Adaptation	Yunfei Liu · , · Ruicong Liu · , · Haofei Wang · , · Feng Lu	PDF	N/A
Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism	Wentao Jiang · , · Ning Xu · , · Jiayun Wang · , · Chen Gao · , · Jing Shi · , · Zhe Lin · , · Si Liu	PDF	N/A
BioFors: A Large Biomedical Image Forensics Dataset	Ekraam Sabir · , · Soumyaroop Nandi · , · Wael Abd-Almageed · , · Prem Natarajan	PDF	N/A
DAM: Discrepancy Alignment Metric for Face Recognition	Jiaheng Liu · , · Yudong Wu · , · Yichao Wu · , · Chuming Li · , · Xiaolin Hu · , · Ding Liang · , · Mengyu Wang	PDF	N/A
Structure-Transformed Texture-Enhanced Network for Person Image Synthesis	Munan Xu · , · Yuanqi Chen · , · Shan Liu · , · Thomas H. Li · , · Ge Li	PDF	N/A
RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions	Sung-En Chang · , · Yanyu Li · , · Mengshu Sun · , · Weiwen Jiang · , · Sijia Liu · , · Yanzhi Wang · , · Xue Lin	PDF	N/A
Robust Small-Scale Pedestrian Detection With Cued Recall via Memory Learning	Jung Uk Kim · , · Sungjune Park · , · Yong Man Ro	PDF	N/A
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting	Jiachen Li · , · Fan Yang · , · Hengbo Ma · , · Srikanth Malla · , · Masayoshi Tomizuka · , · Chiho Choi	PDF	N/A
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images	Richard J. Chen · , · Ming Y. Lu · , · Wei-Hung Weng · , · Tiffany Y. Chen · , · Drew F.K. Williamson · , · Trevor Manz · , · Maha Shady · , · Faisal Mahmood	PDF	N/A
AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection	Zongdai Liu · , · Dingfu Zhou · , · Feixiang Lu · , · Jin Fang · , · Liangjun Zhang	PDF	N/A
Coarsely-Labeled Data for Better Few-Shot Transfer	Cheng Perng Phoo · , · Bharath Hariharan	PDF	N/A
Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density	Kuniaki Saito · , · Donghyun Kim · , · Piotr Teterwak · , · Stan Sclaroff · , · Trevor Darrell · , · Kate Saenko	PDF	N/A
Improving Neural Network Efficiency via Post-Training Quantization With Adaptive Floating-Point	Fangxin Liu · , · Wenbo Zhao · , · Zhezhi He · , · Yanzhi Wang · , · Zongwu Wang · , · Changzhi Dai · , · Xiaoyao Liang · , · Li Jiang	PDF	N/A
Emerging Properties in Self-Supervised Vision Transformers	Mathilde Caron · , · Hugo Touvron · , · Ishan Misra · , · Hervé Jégou · , · Julien Mairal · , · Piotr Bojanowski · , · Armand Joulin	PDF	N/A
Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks	Congcong Zhu · , · Xiaoqiang Li · , · Jide Li · , · Songmin Dai	PDF	N/A
DeepPanoContext: Panoramic 3D Scene Understanding With Holistic Scene Context Graph and Relation-Based Optimization	Cheng Zhang · , · Zhaopeng Cui · , · Cai Chen · , · Shuaicheng Liu · , · Bing Zeng · , · Hujun Bao · , · Yinda Zhang	PDF	N/A
Multi-View Radar Semantic Segmentation	Arthur Ouaknine · , · Alasdair Newson · , · Patrick Pérez · , · Florence Tupin · , · Julien Rebut	PDF	N/A
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation	Jinyu Yang · , · Chunyuan Li · , · Weizhi An · , · Hehuan Ma · , · Yuzhi Guo · , · Yu Rong · , · Peilin Zhao · , · Junzhou Huang	PDF	N/A
Interpretable Image Recognition by Constructing Transparent Embedding Space	Jiaqi Wang · , · Huafeng Liu · , · Xinyue Wang · , · Liping Jing	PDF	N/A
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces	Ali Cheraghian · , · Shafin Rahman · , · Sameera Ramasinghe · , · Pengfei Fang · , · Christian Simon · , · Lars Petersson · , · Mehrtash Harandi	PDF	N/A
Pyramid Point Cloud Transformer for Large-Scale Place Recognition	Le Hui · , · Hang Yang · , · Mingmei Cheng · , · Jin Xie · , · Jian Yang	PDF	N/A
Interpreting Attributions and Interactions of Adversarial Attacks	Xin Wang · , · Shuyun Lin · , · Hao Zhang · , · Yufei Zhu · , · Quanshi Zhang	PDF	N/A
Neural Photofit: Gaze-Based Mental Image Reconstruction	Florian Strohm · , · Ekta Sood · , · Sven Mayer · , · Philipp Müller · , · Mihai Bâce · , · Andreas Bulling	PDF	N/A
Efficient and Differentiable Shadow Computation for Inverse Problems	Linjie Lyu · , · Marc Habermann · , · Lingjie Liu · , · Mallikarjun B R · , · Ayush Tewari · , · Christian Theobalt	PDF	N/A
Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data	Ning Yu · , · Vladislav Skripniuk · , · Sahar Abdelnabi · , · Mario Fritz	PDF	N/A
TokenPose: Learning Keypoint Tokens for Human Pose Estimation	Yanjie Li · , · Shoukui Zhang · , · Zhicheng Wang · , · Sen Yang · , · Wankou Yang · , · Shu-Tao Xia · , · Erjin Zhou	PDF	N/A
Disentangled Lifespan Face Synthesis	Sen He · , · Wentong Liao · , · Michael Ying Yang · , · Yi-Zhe Song · , · Bodo Rosenhahn · , · Tao Xiang	PDF	N/A
Dual Transfer Learning for Event-Based End-Task Prediction via Pluggable Event to Image Translation	Lin Wang · , · Yujeong Chae · , · Kuk-Jin Yoon	PDF	N/A
Exploration and Estimation for Model Compression	Yanfu Zhang · , · Shangqian Gao · , · Heng Huang	PDF	N/A
Task Switching Network for Multi-Task Learning	Guolei Sun · , · Thomas Probst · , · Danda Pani Paudel · , · Nikola Popović · , · Menelaos Kanakis · , · Jagruti Patel · , · Dengxin Dai · , · Luc Van Gool	PDF	N/A
Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations	Dat Huynh · , · Ehsan Elhamifar	PDF	N/A
Unsupervised Point Cloud Pre-Training via Occlusion Completion	Hanchen Wang · , · Qi Liu · , · Xiangyu Yue · , · Joan Lasenby · , · Matt J. Kusner	PDF	N/A
Structure-From-Sherds: Incremental 3D Reassembly of Axially Symmetric Pots From Unordered and Mixed Fragment Collections	Je Hyeong Hong · , · Seong Jong Yoo · , · Muhammad Arshad Zeeshan · , · Young Min Kim · , · Jinwook Kim	PDF	N/A
Towards Vivid and Diverse Image Colorization With Generative Color Prior	Yanze Wu · , · Xintao Wang · , · Yu Li · , · Honglun Zhang · , · Xun Zhao · , · Ying Shan	PDF	N/A
Asymmetric Loss for Multi-Label Classification	Tal Ridnik · , · Emanuel Ben-Baruch · , · Nadav Zamir · , · Asaf Noy · , · Itamar Friedman · , · Matan Protter · , · Lihi Zelnik-Manor	PDF	N/A
The Pursuit of Knowledge: Discovering and Localizing Novel Categories Using Dual Memory	Sai Saketh Rambhatla · , · Rama Chellappa · , · Abhinav Shrivastava	PDF	N/A
Unconditional Scene Graph Generation	Sarthak Garg · , · Helisa Dhamo · , · Azade Farshad · , · Sabrina Musatian · , · Nassir Navab · , · Federico Tombari	PDF	N/A
Unified Graph Structured Models for Video Understanding	Anurag Arnab · , · Chen Sun · , · Cordelia Schmid	PDF	N/A
Minimal Cases for Computing the Generalized Relative Pose Using Affine Correspondences	Banglei Guan · , · Ji Zhao · , · Daniel Barath · , · Friedrich Fraundorfer	PDF	N/A
Towards Efficient Graph Convolutional Networks for Point Cloud Handling	Yawei Li · , · He Chen · , · Zhaopeng Cui · , · Radu Timofte · , · Marc Pollefeys · , · Gregory S. Chirikjian · , · Luc Van Gool	PDF	N/A
Gait Recognition in the Wild: A Benchmark	Zheng Zhu · , · Xianda Guo · , · Tian Yang · , · Junjie Huang · , · Jiankang Deng · , · Guan Huang · , · Dalong Du · , · Jiwen Lu · , · Jie Zhou	PDF	N/A
Structured Bird's-Eye-View Traffic Scene Understanding From Onboard Images	Yigit Baran Can · , · Alexander Liniger · , · Danda Pani Paudel · , · Luc Van Gool	PDF	N/A
MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking?	Matteo Fabbri · , · Guillem Brasó · , · Gianluca Maugeri · , · Orcun Cetintas · , · Riccardo Gasparini · , · Aljoša Ošep · , · Simone Calderara · , · Laura Leal-Taixé · , · Rita Cucchiara	PDF	N/A
MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans	Sinisa Stekovic · , · Mahdi Rad · , · Friedrich Fraundorfer · , · Vincent Lepetit	PDF	N/A
Relaxed Transformer Decoders for Direct Action Proposal Generation	Jing Tan · , · Jiaqi Tang · , · Limin Wang · , · Gangshan Wu	PDF	N/A
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations	Sanath Narayan · , · Hisham Cholakkal · , · Munawar Hayat · , · Fahad Shahbaz Khan · , · Ming-Hsuan Yang · , · Ling Shao	PDF	N/A
Auto Graph Encoder-Decoder for Neural Network Pruning	Sixing Yu · , · Arya Mazaheri · , · Ali Jannesari	PDF	N/A
Adaptive Surface Reconstruction With Multiscale Convolutional Kernels	Benjamin Ummenhofer · , · Vladlen Koltun	PDF	N/A
Localized Simple Multiple Kernel K-Means	Xinwang Liu · , · Sihang Zhou · , · Li Liu · , · Chang Tang · , · Siwei Wang · , · Jiyuan Liu · , · Yi Zhang	PDF	N/A
SmartShadow: Artistic Shadow Drawing Tool for Line Drawings	Lvmin Zhang · , · Jinyue Jiang · , · Yi Ji · , · Chunping Liu	PDF	N/A
PT-CapsNet: A Novel Prediction-Tuning Capsule Network Suitable for Deeper Architectures	Chenbin Pan · , · Senem Velipasalar	PDF	N/A
In-Place Scene Labelling and Understanding With Implicit Scene Representation	Shuaifeng Zhi · , · Tristan Laidlow · , · Stefan Leutenegger · , · Andrew J. Davison	PDF	N/A
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition	Wenyuan Xue · , · Baosheng Yu · , · Wen Wang · , · Dacheng Tao · , · Qingyong Li	PDF	N/A
Mixture-Based Feature Space Learning for Few-Shot Image Classification	Arman Afrasiyabi · , · Jean-François Lalonde · , · Christian Gagné	PDF	N/A
Learning a Sketch Tensor Space for Image Inpainting of Man-Made Scenes	Chenjie Cao · , · Yanwei Fu	PDF	N/A
MicroNet: Improving Image Recognition With Extremely Low FLOPs	Yunsheng Li · , · Yinpeng Chen · , · Xiyang Dai · , · Dongdong Chen · , · Mengchen Liu · , · Lu Yuan · , · Zicheng Liu · , · Lei Zhang · , · Nuno Vasconcelos	PDF	N/A
Learning Canonical 3D Object Representation for Fine-Grained Recognition	Sunghun Joung · , · Seungryong Kim · , · Minsu Kim · , · Ig-Jae Kim · , · Kwanghoon Sohn	PDF	N/A
Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation	Amrutha Saseendran · , · Kathrin Skubch · , · Margret Keuper	PDF	N/A
Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation	Chi-Wei Hsiao · , · Cheng Sun · , · Hwann-Tzong Chen · , · Min Sun	PDF	N/A
DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network	Yeying Jin · , · Aashish Sharma · , · Robby T. Tan	PDF	N/A
Scalable Vision Transformers With Hierarchical Pooling	Zizheng Pan · , · Bohan Zhuang · , · Jing Liu · , · Haoyu He · , · Jianfei Cai	PDF	N/A
Learning Instance-Level Spatial-Temporal Patterns for Person Re-Identification	Min Ren · , · Lingxiao He · , · Xingyu Liao · , · Wu Liu · , · Yunlong Wang · , · Tieniu Tan	PDF	N/A
EgoRenderer: Rendering Human Avatars From Egocentric Camera Images	Tao Hu · , · Kripasindhu Sarkar · , · Lingjie Liu · , · Matthias Zwicker · , · Christian Theobalt	PDF	N/A
Generative Adversarial Registration for Improved Conditional Deformable Templates	Neel Dey · , · Mengwei Ren · , · Adrian V. Dalca · , · Guido Gerig	PDF	N/A
Visual Graph Memory With Unsupervised Representation for Visual Navigation	Obin Kwon · , · Nuri Kim · , · Yunho Choi · , · Hwiyeon Yoo · , · Jeongho Park · , · Songhwai Oh	PDF	N/A
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving	Markus Schön · , · Michael Buchholz · , · Klaus Dietmayer	PDF	N/A
Auto-Parsing Network for Image Captioning and Visual Question Answering	Xu Yang · , · Chongyang Gao · , · Hanwang Zhang · , · Jianfei Cai	PDF	N/A
F-Drop&Match: GANs With a Dead Zone in the High-Frequency Domain	Shin'ya Yamaguchi · , · Sekitoshi Kanai	PDF	N/A
CryoDRGN2: Ab Initio Neural Reconstruction of 3D Protein Structures From Real Cryo-EM Images	Ellen D. Zhong · , · Adam Lerer · , · Joseph H. Davis · , · Bonnie Berger	PDF	N/A
Generalized Shuffled Linear Regression	Feiran Li · , · Kent Fujiwara · , · Fumio Okura · , · Yasuyuki Matsushita	PDF	N/A
AESOP: Abstract Encoding of Stories, Objects, and Pictures	Hareesh Ravi · , · Kushal Kafle · , · Scott Cohen · , · Jonathan Brandt · , · Mubbasir Kapadia	PDF	N/A
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals	Wouter Van Gansbeke · , · Simon Vandenhende · , · Stamatios Georgoulis · , · Luc Van Gool	PDF	N/A
Graph Contrastive Clustering	Huasong Zhong · , · Jianlong Wu · , · Chong Chen · , · Jianqiang Huang · , · Minghua Deng · , · Liqiang Nie · , · Zhouchen Lin · , · Xian-Sheng Hua	PDF	N/A
LFI-CAM: Learning Feature Importance for Better Visual Explanation	Kwang Hee Lee · , · Chaewon Park · , · Junghyun Oh · , · Nojun Kwak	PDF	N/A
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds Through Instance Multi-Level Contextual Referring	Zhihao Yuan · , · Xu Yan · , · Yinghong Liao · , · Ruimao Zhang · , · Sheng Wang · , · Zhen Li · , · Shuguang Cui	PDF	N/A
Temporal-Wise Attention Spiking Neural Networks for Event Streams Classification	Man Yao · , · Huanhuan Gao · , · Guangshe Zhao · , · Dingheng Wang · , · Yihan Lin · , · Zhaoxu Yang · , · Guoqi Li	PDF	N/A
Encoder-Decoder With Multi-Level Attention for 3D Human Shape and Pose Estimation	Ziniu Wan · , · Zhengjia Li · , · Maoqing Tian · , · Jianbo Liu · , · Shuai Yi · , · Hongsheng Li	PDF	N/A
Adaptive Hierarchical Graph Reasoning With Semantic Coherence for Video-and-Language Inference	Juncheng Li · , · Siliang Tang · , · Linchao Zhu · , · Haochen Shi · , · Xuanwen Huang · , · Fei Wu · , · Yi Yang · , · Yueting Zhuang	PDF	N/A
Transductive Few-Shot Classification on the Oblique Manifold	Guodong Qi · , · Huimin Yu · , · Zhaohui Lu · , · Shuzhao Li	PDF	N/A
iNAS: Integral NAS for Device-Aware Salient Object Detection	Yu-Chao Gu · , · Shang-Hua Gao · , · Xu-Sheng Cao · , · Peng Du · , · Shao-Ping Lu · , · Ming-Ming Cheng	PDF	N/A
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection	Jiageng Mao · , · Minzhe Niu · , · Haoyue Bai · , · Xiaodan Liang · , · Hang Xu · , · Chunjing Xu	PDF	N/A
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution	Huimin Huang · , · Lanfen Lin · , · Yue Zhang · , · Yingying Xu · , · Jing Zheng · , · XiongWei Mao · , · Xiaohan Qian · , · Zhiyi Peng · , · Jianying Zhou · , · Yen-Wei Chen · , · Ruofeng Tong	PDF	N/A
The Animation Transformer: Visual Correspondence via Segment Matching	Evan Casey · , · Víctor Pérez · , · Zhuoru Li	PDF	N/A
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification	Chun-Fu (Richard) Chen · , · Quanfu Fan · , · Rameswar Panda	PDF	N/A
Weak Adaptation Learning: Addressing Cross-Domain Data Insufficiency With Weak Annotator	Shichao Xu · , · Lixu Wang · , · Yixuan Wang · , · Qi Zhu	PDF	N/A
Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation	Kai-Hung Chang · , · Chin-Yi Cheng · , · Jieliang Luo · , · Shingo Murata · , · Mehdi Nourbakhsh · , · Yoshito Tsuji	PDF	N/A
Scribble-Supervised Semantic Segmentation Inference	Jingshan Xu · , · Chuanwei Zhou · , · Zhen Cui · , · Chunyan Xu · , · Yuge Huang · , · Pengcheng Shen · , · Shaoxin Li · , · Jian Yang	PDF	N/A
Improve Unsupervised Pretraining for Few-Label Transfer	Suichan Li · , · Dongdong Chen · , · Yinpeng Chen · , · Lu Yuan · , · Lei Zhang · , · Qi Chu · , · Bin Liu · , · Nenghai Yu	PDF	N/A
Image Inpainting via Conditional Texture and Structure Dual Generation	Xiefan Guo · , · Hongyu Yang · , · Di Huang	PDF	N/A
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds	Longkun Zou · , · Hui Tang · , · Ke Chen · , · Kui Jia	PDF	N/A
Robustness and Generalization via Generative Adversarial Training	Omid Poursaeed · , · Tianxing Jiang · , · Harry Yang · , · Serge Belongie · , · Ser-Nam Lim	PDF	N/A
Exploring Inter-Channel Correlation for Diversity-Preserved Knowledge Distillation	Li Liu · , · Qingle Huang · , · Sihao Lin · , · Hongwei Xie · , · Bing Wang · , · Xiaojun Chang · , · Xiaodan Liang	PDF	N/A
Class-Incremental Learning for Action Recognition in Videos	Jaeyoo Park · , · Minsoo Kang · , · Bohyung Han	PDF	N/A
Procrustean Training for Imbalanced Deep Learning	Han-Jia Ye · , · De-Chuan Zhan · , · Wei-Lun Chao	PDF	N/A
Dynamic Network Quantization for Efficient Video Inference	Ximeng Sun · , · Rameswar Panda · , · Chun-Fu (Richard) Chen · , · Aude Oliva · , · Rogerio Feris · , · Kate Saenko	PDF	N/A
Space-Time Crop & Attend: Improving Cross-Modal Video Representation Learning	Mandela Patrick · , · Po-Yao Huang · , · Ishan Misra · , · Florian Metze · , · Andrea Vedaldi · , · Yuki M. Asano · , · João F. Henriques	PDF	N/A
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking	Jiaxing Huang · , · Dayan Guan · , · Aoran Xiao · , · Shijian Lu	PDF	N/A
WB-DETR: Transformer-Based Detector Without Backbone	Fanfan Liu · , · Haoran Wei · , · Wenzhe Zhao · , · Guozhen Li · , · Jingquan Peng · , · Zihao Li	PDF	N/A
Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis From a Single Image	Ronghang Hu · , · Nikhila Ravi · , · Alexander C. Berg · , · Deepak Pathak	PDF	N/A
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval From a Single Image	Weicheng Kuo · , · Anelia Angelova · , · Tsung-Yi Lin · , · Angela Dai	PDF	N/A
Perceptual Variousness Motion Deblurring With Light Global Context Refinement	Jichun Li · , · Weimin Tan · , · Bo Yan	PDF	N/A
Self-Calibrating Neural Radiance Fields	Yoonwoo Jeong · , · Seokjun Ahn · , · Christopher Choy · , · Anima Anandkumar · , · Minsu Cho · , · Jaesik Park	PDF	N/A
Motion Adaptive Pose Estimation From Compressed Videos	Zhipeng Fan · , · Jun Liu · , · Yao Wang	PDF	N/A
Learning Motion Priors for 4D Human Body Capture in 3D Scenes	Siwei Zhang · , · Yan Zhang · , · Federica Bogo · , · Marc Pollefeys · , · Siyu Tang	PDF	N/A
Robust Automatic Monocular Vehicle Speed Estimation for Traffic Surveillance	Jerome Revaud · , · Martin Humenberger	PDF	N/A
Face Image Retrieval With Attribute Manipulation	Alireza Zaeemzadeh · , · Shabnam Ghadar · , · Baldo Faieta · , · Zhe Lin · , · Nazanin Rahnavard · , · Mubarak Shah · , · Ratheesh Kalarot	PDF	N/A
RFNet: Region-Aware Fusion Network for Incomplete Multi-Modal Brain Tumor Segmentation	Yuhang Ding · , · Xin Yu · , · Yi Yang	PDF	N/A
Weakly Supervised Contrastive Learning	Mingkai Zheng · , · Fei Wang · , · Shan You · , · Chen Qian · , · Changshui Zhang · , · Xiaogang Wang · , · Chang Xu	PDF	N/A
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation	Stefan Andreas Baur · , · David Josef Emmerichs · , · Frank Moosmann · , · Peter Pinggera · , · Björn Ommer · , · Andreas Geiger	PDF	N/A
Likelihood-Based Diverse Sampling for Trajectory Forecasting	Yecheng Jason Ma · , · Jeevana Priya Inala · , · Dinesh Jayaraman · , · Osbert Bastani	PDF	N/A
In Defense of Scene Graphs for Image Captioning	Kien Nguyen · , · Subarna Tripathi · , · Bang Du · , · Tanaya Guha · , · Truong Q. Nguyen	PDF	N/A
Rank & Sort Loss for Object Detection and Instance Segmentation	Kemal Oksuz · , · Baris Can Cam · , · Emre Akbas · , · Sinan Kalkan	PDF	N/A
RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving	Ruochen Wang · , · Xiangning Chen · , · Minhao Cheng · , · Xiaocheng Tang · , · Cho-Jui Hsieh	PDF	N/A
Dual Path Learning for Domain Adaptation of Semantic Segmentation	Yiting Cheng · , · Fangyun Wei · , · Jianmin Bao · , · Dong Chen · , · Fang Wen · , · Wenqiang Zhang	PDF	N/A
Synthesis of Compositional Animations From Textual Descriptions	Anindita Ghosh · , · Noshaba Cheema · , · Cennet Oguz · , · Christian Theobalt · , · Philipp Slusallek	PDF	N/A
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection	Chaoqi Chen · , · Jiongcheng Li · , · Zebiao Zheng · , · Yue Huang · , · Xinghao Ding · , · Yizhou Yu	PDF	N/A
Parametric Contrastive Learning	Jiequan Cui · , · Zhisheng Zhong · , · Shu Liu · , · Bei Yu · , · Jiaya Jia	PDF	N/A
A Simple Feature Augmentation for Domain Generalization	Pan Li · , · Da Li · , · Wei Li · , · Shaogang Gong · , · Yanwei Fu · , · Timothy M. Hospedales	PDF	N/A
Visual Transformers: Where Do Transformers Really Belong in Vision Models?	Bichen Wu · , · Chenfeng Xu · , · Xiaoliang Dai · , · Alvin Wan · , · Peizhao Zhang · , · Zhicheng Yan · , · Masayoshi Tomizuka · , · Joseph E. Gonzalez · , · Kurt Keutzer · , · Peter Vajda	PDF	N/A
Is Pseudo-Lidar Needed for Monocular 3D Object Detection?	Dennis Park · , · Rares Ambrus · , · Vitor Guizilini · , · Jie Li · , · Adrien Gaidon	PDF	N/A
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization	Wei Gao · , · Fang Wan · , · Xingjia Pan · , · Zhiliang Peng · , · Qi Tian · , · Zhenjun Han · , · Bolei Zhou · , · Qixiang Ye	PDF	N/A
Geometry-Based Distance Decomposition for Monocular 3D Object Detection	Xuepeng Shi · , · Qi Ye · , · Xiaozhi Chen · , · Chuangrong Chen · , · Zhixiang Chen · , · Tae-Kyun Kim	PDF	N/A
Deep 3D Mask Volume for View Synthesis of Dynamic Scenes	Kai-En Lin · , · Lei Xiao · , · Feng Liu · , · Guowei Yang · , · Ravi Ramamoorthi	PDF	N/A
Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue	Shoya Matsumori · , · Kosuke Shingyouchi · , · Yuki Abe · , · Yosuke Fukuchi · , · Komei Sugiura · , · Michita Imai	PDF	N/A
Human Trajectory Prediction via Counterfactual Analysis	Guangyi Chen · , · Junlong Li · , · Jiwen Lu · , · Jie Zhou	PDF	N/A
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-Identification	Yongming Rao · , · Guangyi Chen · , · Jiwen Lu · , · Jie Zhou	PDF	N/A
Effectively Leveraging Attributes for Visual Similarity	Samarth Mishra · , · Zhongping Zhang · , · Yuan Shen · , · Ranjitha Kumar · , · Venkatesh Saligrama · , · Bryan A. Plummer	PDF	N/A
Anticipative Video Transformer	Rohit Girdhar · , · Kristen Grauman	PDF	N/A
Semantically Robust Unpaired Image Translation for Data With Unmatched Semantics Statistics	Zhiwei Jia · , · Bodi Yuan · , · Kangkang Wang · , · Hong Wu · , · David Clifford · , · Zhiqiang Yuan · , · Hao Su	PDF	N/A
Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud Learning	Juyoung Yang · , · Pyunghwan Ahn · , · Doyeon Kim · , · Haeil Lee · , · Junmo Kim	PDF	N/A
Waypoint Models for Instruction-Guided Navigation in Continuous Environments	Jacob Krantz · , · Aaron Gokaslan · , · Dhruv Batra · , · Stefan Lee · , · Oleksandr Maksymets	PDF	N/A
Rethinking Preventing Class-Collapsing in Metric Learning With Margin-Based Losses	Elad Levi · , · Tete Xiao · , · Xiaolong Wang · , · Trevor Darrell	PDF	N/A
HiNet: Deep Image Hiding by Invertible Network	Junpeng Jing · , · Xin Deng · , · Mai Xu · , · Jianyi Wang · , · Zhenyu Guan	PDF	N/A
Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs	Gabriel Moreira · , · Manuel Marques · , · João Paulo Costeira	PDF	N/A
End-to-End Robust Joint Unsupervised Image Alignment and Clustering	Xiangrui Zeng · , · Gregory Howe · , · Min Xu	PDF	N/A
BabelCalib: A Universal Approach to Calibrating Central Cameras	Yaroslava Lochman · , · Kostiantyn Liepieshov · , · Jianhui Chen · , · Michal Perdoch · , · Christopher Zach · , · James Pritts	PDF	N/A
Curious Representation Learning for Embodied Intelligence	Yilun Du · , · Chuang Gan · , · Phillip Isola	PDF	N/A
Multi-Modal Multi-Action Video Recognition	Zhensheng Shi · , · Ju Liang · , · Qianqian Li · , · Haiyong Zheng · , · Zhaorui Gu · , · Junyu Dong · , · Bing Zheng	PDF	N/A
Cross-Patch Graph Convolutional Network for Image Denoising	Yao Li · , · Xueyang Fu · , · Zheng-Jun Zha	PDF	N/A
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation	Zhenchao Jin · , · Bin Liu · , · Qi Chu · , · Nenghai Yu	PDF	N/A
Body-Face Joint Detection via Embedding and Head Hook	Junfeng Wan · , · Jiangfan Deng · , · Xiaosong Qiu · , · Feng Zhou	PDF	N/A
Enhancing Self-Supervised Video Representation Learning via Multi-Level Feature Optimization	Rui Qian · , · Yuxi Li · , · Huabin Liu · , · John See · , · Shuangrui Ding · , · Xian Liu · , · Dian Li · , · Weiyao Lin	PDF	N/A
LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-Based 3D Detector	Xiaoyang Guo · , · Shaoshuai Shi · , · Xiaogang Wang · , · Hongsheng Li	PDF	N/A
Semi-Supervised Semantic Segmentation With Pixel-Level Contrastive Learning From a Class-Wise Memory Bank	Iñigo Alonso · , · Alberto Sabater · , · David Ferstl · , · Luis Montesano · , · Ana C. Murillo	PDF	N/A
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach	Zhejun Zhang · , · Alexander Liniger · , · Dengxin Dai · , · Fisher Yu · , · Luc Van Gool	PDF	N/A
Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks	Yu-Qi Yang · , · Peng-Shuai Wang · , · Yang Liu	PDF	N/A
Active Learning for Lane Detection: A Knowledge Distillation Approach	Fengchao Peng · , · Chao Wang · , · Jianzhuang Liu · , · Zhen Yang	PDF	N/A
Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search	Mingzhu Shen · , · Feng Liang · , · Ruihao Gong · , · Yuhang Li · , · Chuming Li · , · Chen Lin · , · Fengwei Yu · , · Junjie Yan · , · Wanli Ouyang	PDF	N/A
Learn To Match: Automatic Matching Network Design for Visual Tracking	Zhipeng Zhang · , · Yihao Liu · , · Xiao Wang · , · Bing Li · , · Weiming Hu	PDF	N/A
Oriented R-CNN for Object Detection	Xingxing Xie · , · Gong Cheng · , · Jiabao Wang · , · Xiwen Yao · , · Junwei Han	PDF	N/A
TransVG: End-to-End Visual Grounding With Transformers	Jiajun Deng · , · Zhengyuan Yang · , · Tianlang Chen · , · Wengang Zhou · , · Houqiang Li	PDF	N/A
Airbert: In-Domain Pretraining for Vision-and-Language Navigation	Pierre-Louis Guhur · , · Makarand Tapaswi · , · Shizhe Chen · , · Ivan Laptev · , · Cordelia Schmid	PDF	N/A
Internal Video Inpainting by Implicit Long-Range Propagation	Hao Ouyang · , · Tengfei Wang · , · Qifeng Chen	PDF	N/A

ICLR 2020

Title	Author	PDF_Link	Code_URL
Computation Reallocation for Object Detection	Unknown	PDF	N/A
At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?	Unknown	PDF	N/A
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks	Unknown	PDF	N/A
Hamiltonian Generative Networks	Unknown	PDF	N/A
Stochastic Weight Averaging in Parallel: Large-Batch Training That Generalizes Well	Unknown	PDF	N/A
Convergence of Gradient Methods on Bilinear Zero-Sum Games	Unknown	PDF	N/A
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies	Unknown	PDF	N/A
Global Relational Models of Source Code	Unknown	PDF	N/A
Continual learning with hypernetworks	Unknown	PDF	N/A
Environmental drivers of systematicity and generalization in a situated agent	Unknown	PDF	N/A
An Exponential Learning Rate Schedule for Deep Learning	Unknown	PDF	N/A
Understanding the Limitations of Conditional Generative Models	Unknown	PDF	N/A
ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning	Unknown	PDF	N/A
Adversarial AutoAugment	Unknown	PDF	N/A
Neural Machine Translation with Universal Visual Representation	Unknown	PDF	N/A
Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning?	Unknown	PDF	N/A
Once for All: Train One Network and Specialize it for Efficient Deployment	Unknown	PDF	N/A
Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery	Unknown	PDF	N/A
Differentiation of Blackbox Combinatorial Solvers	Unknown	PDF	N/A
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets	Unknown	PDF	N/A
Dynamically Pruned Message Passing Networks for Large-scale Knowledge Graph Reasoning	Unknown	PDF	N/A
Counterfactuals uncover the modular structure of deep generative models	Unknown	PDF	N/A
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search	Unknown	PDF	N/A
Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization	Unknown	PDF	N/A
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories	Unknown	PDF	N/A
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems	Unknown	PDF	N/A
Kernelized Wasserstein Natural Gradient	Unknown	PDF	N/A
Learning from Explanations with Neural Execution Tree	Unknown	PDF	N/A
Variance Reduction With Sparse Gradients	Unknown	PDF	N/A
Batch-shaping for learning conditional channel gated networks	Unknown	PDF	N/A
Self-Supervised Learning of Appliance Usage	Unknown	PDF	N/A
CAQL: Continuous Action Q-Learning	Unknown	PDF	N/A
Domain Adaptive Multibranch Networks	Unknown	PDF	N/A
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Mirror-Generative Neural Machine Translation	Unknown	PDF	N/A
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary	Unknown	PDF	N/A
Explain Your Move: Understanding Agent Actions Using Salient and Relevant Feature Attribution	Unknown	PDF	N/A
Convolutional Conditional Neural Processes	Unknown	PDF	N/A
Regularizing activations in neural networks via distribution matching with the Wasserstein metric	Unknown	PDF	N/A
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation	Unknown	PDF	N/A
Deep Orientation Uncertainty Learning based on a Bingham Loss	Unknown	PDF	N/A
Scale-Equivariant Steerable Networks	Unknown	PDF	N/A
The intriguing role of module criticality in the generalization of deep networks	Unknown	PDF	N/A
A Theoretical Analysis of the Number of Shots in Few-Shot Learning	Unknown	PDF	N/A
Graph Neural Networks Exponentially Lose Expressive Power for Node Classification	Unknown	PDF	N/A
Provable Filter Pruning for Efficient Neural Networks	Unknown	PDF	N/A
Option Discovery using Deep Skill Chaining	Unknown	PDF	N/A
Deep Symbolic Superoptimization Without Human Knowledge	Unknown	PDF	N/A
State Alignment-based Imitation Learning	Unknown	PDF	N/A
Mogrifier LSTM	Unknown	PDF	N/A
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control	Unknown	PDF	N/A
Target-Embedding Autoencoders for Supervised Representation Learning	Unknown	PDF	N/A
Fair Resource Allocation in Federated Learning	Unknown	PDF	N/A
Causal Discovery with Reinforcement Learning	Unknown	PDF	N/A
Geom-GCN: Geometric Graph Convolutional Networks	Unknown	PDF	N/A
Variational Hetero-Encoder Randomized GANs for Joint Image-Text Modeling	Unknown	PDF	N/A
Sampling-Free Learning of Bayesian Quantized Neural Networks	Unknown	PDF	N/A
On the Relationship between Self-Attention and Convolutional Layers	Unknown	PDF	N/A
A Generalized Training Approach for Multiagent Learning	Unknown	PDF	N/A
Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee	Unknown	PDF	N/A
Towards Verified Robustness under Text Deletion Interventions	Unknown	PDF	N/A
Mixed Precision DNNs: All you need is a good parametrization	Unknown	PDF	N/A
On Computation and Generalization of Generative Adversarial Imitation Learning	Unknown	PDF	N/A
Demystifying Inter-Class Disentanglement	Unknown	PDF	N/A
Progressive Learning and Disentanglement of Hierarchical Representations	Unknown	PDF	N/A
Transferable Perturbations of Deep Feature Distributions	Unknown	PDF	N/A
Hypermodels for Exploration	Unknown	PDF	N/A
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures	Unknown	PDF	N/A
Semi-Supervised Generative Modeling for Controllable Speech Synthesis	Unknown	PDF	N/A
You Only Train Once: Loss-Conditional Training of Deep Networks	Unknown	PDF	N/A
Ranking Policy Gradient	Unknown	PDF	N/A
Understanding and Robustifying Differentiable Architecture Search	Unknown	PDF	N/A
On the interaction between supervision and self-play in emergent communication	Unknown	PDF	N/A
Knowledge Consistency between Neural Networks and Beyond	Unknown	PDF	N/A
Capsules with Inverted Dot-Product Attention Routing	Unknown	PDF	N/A
Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities	Unknown	PDF	N/A
Towards Fast Adaptation of Neural Architectures with Meta Learning	Unknown	PDF	N/A
Stochastic Conditional Generative Networks with Basis Decomposition	Unknown	PDF	N/A
Guiding Program Synthesis by Learning to Generate Examples	Unknown	PDF	N/A
HiLLoC: lossless image compression with hierarchical latent variable models	Unknown	PDF	N/A
Estimating counterfactual treatment outcomes over time through adversarially balanced representations	Unknown	PDF	N/A
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators	Unknown	PDF	N/A
Identifying through Flows for Recovering Latent Representations	Unknown	PDF	N/A
Learning Efficient Parameter Server Synchronization Policies for Distributed SGD	Unknown	PDF	N/A
Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards	Unknown	PDF	N/A
Strategies for Pre-training Graph Neural Networks	Unknown	PDF	N/A
Decoupling Representation and Classifier for Long-Tailed Recognition	Unknown	PDF	N/A
Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks	Unknown	PDF	N/A
Accelerating SGD with momentum for over-parameterized learning	Unknown	PDF	N/A
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction	Unknown	PDF	N/A
Inductive and Unsupervised Representation Learning on Graph Structured Objects	Unknown	PDF	N/A
GraphSAINT: Graph Sampling Based Inductive Learning Method	Unknown	PDF	N/A
Non-Autoregressive Dialog State Tracking	Unknown	PDF	N/A
Disentangling neural mechanisms for perceptual grouping	Unknown	PDF	N/A
A Probabilistic Formulation of Unsupervised Text Style Transfer	Unknown	PDF	N/A
MEMO: A Deep Network for Flexible Combination of Episodic Memories	Unknown	PDF	N/A
Neural Stored-program Memory	Unknown	PDF	N/A
Asymptotics of Wide Networks from Feynman Diagrams	Unknown	PDF	N/A
Optimistic Exploration even with a Pessimistic Initialisation	Unknown	PDF	N/A
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks	Unknown	PDF	N/A
Duration-of-Stay Storage Assignment under Uncertainty	Unknown	PDF	N/A
Continual Learning with Bayesian Neural Networks for Non-Stationary Data	Unknown	PDF	N/A
Language GANs Falling Short	Unknown	PDF	N/A
Neural Tangents: Fast and Easy Infinite Neural Networks in Python	Unknown	PDF	N/A
Fooling Detection Alone is Not Enough: Adversarial Attack against Multiple Object Tracking	Unknown	PDF	N/A
Gap-Aware Mitigation of Gradient Staleness	Unknown	PDF	N/A
Finite Depth and Width Corrections to the Neural Tangent Kernel	Unknown	PDF	N/A
Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space	Unknown	PDF	N/A
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning	Unknown	PDF	N/A
SCALOR: Generative World Models with Scalable Object Representations	Unknown	PDF	N/A
ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring	Unknown	PDF	N/A
Graph Constrained Reinforcement Learning for Natural Language Action Spaces	Unknown	PDF	N/A
Learning Robust Representations via Multi-View Information Bottleneck	Unknown	PDF	N/A
Dynamics-Aware Unsupervised Skill Discovery	Unknown	PDF	N/A
Ridge Regression: Structure, Cross-Validation, and Sketching	Unknown	PDF	N/A
Padé Activation Units: End-to-end Learning of Flexible Activation Functions in Deep Networks	Unknown	PDF	N/A
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection	Unknown	PDF	N/A
End to End Trainable Active Contours via Differentiable Rendering	Unknown	PDF	N/A
Learning Disentangled Representations for CounterFactual Regression	Unknown	PDF	N/A
Symplectic Recurrent Neural Networks	Unknown	PDF	N/A
RNA Secondary Structure Prediction By Learning Unrolled Algorithms	Unknown	PDF	N/A
BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations	Unknown	PDF	N/A
Training individually fair ML models with sensitive subspace robustness	Unknown	PDF	N/A
Mixed-curvature Variational Autoencoders	Unknown	PDF	N/A
The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget	Unknown	PDF	N/A
Meta-Learning with Warped Gradient Descent	Unknown	PDF	N/A
Towards a Deep Network Architecture for Structured Smoothness	Unknown	PDF	N/A
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems	Unknown	PDF	N/A
Locally Constant Networks	Unknown	PDF	N/A
Phase Transitions for the Information Bottleneck in Representation Learning	Unknown	PDF	N/A
Lookahead: A Far-sighted Alternative of Magnitude-based Pruning	Unknown	PDF	N/A
Decentralized Deep Learning with Arbitrary Communication Compression	Unknown	PDF	N/A
Fast is better than free: Revisiting adversarial training	Unknown	PDF	N/A
Structured Object-Aware Physics Prediction for Video Modeling and Planning	Unknown	PDF	N/A
Fast Task Inference with Variational Intrinsic Successor Features	Unknown	PDF	N/A
Ae-Ot: A New Generative Model Based on Extended Semi-Discrete Optimal Transport	Unknown	PDF	N/A
Generative Ratio Matching Networks	Unknown	PDF	N/A
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations	Unknown	PDF	N/A
The Early Phase of Neural Network Training	Unknown	PDF	N/A
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples	Unknown	PDF	N/A
Pay Attention to Features, Transfer Learn Faster CNNs	Unknown	PDF	N/A
Few-shot Text Classification with Distributional Signatures	Unknown	PDF	N/A
Memory-Based Graph Networks	Unknown	PDF	N/A
On the Equivalence between Positional Node Embeddings and Structural Graph Representations	Unknown	PDF	N/A
Sub-policy Adaptation for Hierarchical Reinforcement Learning	Unknown	PDF	N/A
DBA: Distributed Backdoor Attacks against Federated Learning	Unknown	PDF	N/A
Gradient-Based Neural DAG Learning	Unknown	PDF	N/A
Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base	Unknown	PDF	N/A
A closer look at the approximation capabilities of neural networks	Unknown	PDF	N/A
Black-Box Adversarial Attack with Transferable Model-based Embedding	Unknown	PDF	N/A
Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach	Unknown	PDF	N/A
Self-labelling via simultaneous clustering and representation learning	Unknown	PDF	N/A
Classification-Based Anomaly Detection for General Data	Unknown	PDF	N/A
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty	Unknown	PDF	N/A
RNNs Incrementally Evolving on an Equilibrium Manifold: A Panacea for Vanishing and Exploding Gradients?	Unknown	PDF	N/A
Implementing Inductive bias for different navigation tasks through diverse RNN attrractors	Unknown	PDF	N/A
Neural Text Generation With Unlikelihood Training	Unknown	PDF	N/A
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps	Unknown	PDF	N/A
Rethinking Softmax Cross-Entropy Loss for Adversarial Robustness	Unknown	PDF	N/A
Spike-based causal inference for weight alignment	Unknown	PDF	N/A
Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring	Unknown	PDF	N/A
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks	Unknown	PDF	N/A
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation	Unknown	PDF	N/A
Meta-learning curiosity algorithms	Unknown	PDF	N/A
Actor-Critic Provably Finds Nash Equilibria of Linear-Quadratic Mean-Field Games	Unknown	PDF	N/A
Learning Execution Through Neural Code Fusion	Unknown	PDF	N/A
Emergence of functional and structural properties of the head direction system by optimization of recurrent neural networks	Unknown	PDF	N/A
Implicit Bias of Gradient Descent based Adversarial Training on Separable Data	Unknown	PDF	N/A
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering	Unknown	PDF	N/A
Learning from Rules Generalizing Labeled Exemplars	Unknown	PDF	N/A
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data	Unknown	PDF	N/A
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference	Unknown	PDF	N/A
Automated Relational Meta-learning	Unknown	PDF	N/A
Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs	Unknown	PDF	N/A
RaPP: Novelty Detection with Reconstruction along Projection Pathway	Unknown	PDF	N/A
Neural Execution of Graph Algorithms	Unknown	PDF	N/A
Compositional Language Continual Learning	Unknown	PDF	N/A
Observational Overfitting in Reinforcement Learning	Unknown	PDF	N/A
Understanding Knowledge Distillation in Non-autoregressive Machine Translation	Unknown	PDF	N/A
Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees	Unknown	PDF	N/A
TabFact: A Large-scale Dataset for Table-based Fact Verification	Unknown	PDF	N/A
Neural Arithmetic Units	Unknown	PDF	N/A
Reconstructing continuous distributions of 3D protein structure from cryo-EM images	Unknown	PDF	N/A
Generalization of Two-layer Neural Networks: An Asymptotic Viewpoint	Unknown	PDF	N/A
SELF: Learning to Filter Noisy Labels with Self-Ensembling	Unknown	PDF	N/A
Robust Reinforcement Learning for Continuous Control with Model Misspecification	Unknown	PDF	N/A
GenDICE: Generalized Offline Estimation of Stationary Values	Unknown	PDF	N/A
Unsupervised Model Selection for Variational Disentangled Representation Learning	Unknown	PDF	N/A
Robust training with ensemble consensus	Unknown	PDF	N/A
Improved Sample Complexities for Deep Neural Networks and Robust Classification via an All-Layer Margin	Unknown	PDF	N/A
Functional vs. parametric equivalence of ReLU networks	Unknown	PDF	N/A
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection	Unknown	PDF	N/A
A Constructive Prediction of the Generalization Error Across Scales	Unknown	PDF	N/A
Learning deep graph matching with channel-independent embedding and Hungarian attention	Unknown	PDF	N/A
Learning To Explore Using Active Neural SLAM	Unknown	PDF	N/A
BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget	Unknown	PDF	N/A
Tranquil Clouds: Neural Networks for Learning Temporally Coherent Features in Point Clouds	Unknown	PDF	N/A
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks	Unknown	PDF	N/A
Rényi Fair Inference	Unknown	PDF	N/A
SAdam: A Variant of Adam for Strongly Convex Functions	Unknown	PDF	N/A
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition	Unknown	PDF	N/A
Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs	Unknown	PDF	N/A
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension	Unknown	PDF	N/A
Adversarial Training and Provable Defenses: Bridging the Gap	Unknown	PDF	N/A
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation	Unknown	PDF	N/A
Composing Task-Agnostic Policies with Deep Reinforcement Learning	Unknown	PDF	N/A
NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension	Unknown	PDF	N/A
Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information	Unknown	PDF	N/A
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth	Unknown	PDF	N/A
Vid2Game: Controllable Characters Extracted from Real-World Videos	Unknown	PDF	N/A
Network Deconvolution	Unknown	PDF	N/A
Pure and Spurious Critical Points: a Geometric Study of Linear Networks	Unknown	PDF	N/A
Improving Generalization in Meta Reinforcement Learning using Learned Objectives	Unknown	PDF	N/A
Meta Dropout: Learning to Perturb Latent Features for Generalization	Unknown	PDF	N/A
A Theory of Usable Information under Computational Constraints	Unknown	PDF	N/A
Gradientless Descent: High-Dimensional Zeroth-Order Optimization	Unknown	PDF	N/A
Measuring and Improving the Use of Graph Information in Graph Neural Networks	Unknown	PDF	N/A
Few-Shot Learning on Graphs via Super-Classes Based on Graph Spectral Measures	Unknown	PDF	N/A
Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning	Unknown	PDF	N/A
A Learning-based Iterative Method for Solving Vehicle Routing Problems	Unknown	PDF	N/A
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness	Unknown	PDF	N/A
Understanding the Limitations of Variational Mutual Information Estimators	Unknown	PDF	N/A
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition	Unknown	PDF	N/A
Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP	Unknown	PDF	N/A
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning	Unknown	PDF	N/A
Relational State-Space Model for Stochastic Multi-Object Systems	Unknown	PDF	N/A
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient	Unknown	PDF	N/A
Unrestricted Adversarial Examples via Semantic Manipulation	Unknown	PDF	N/A
Data-Independent Neural Pruning via Coresets	Unknown	PDF	N/A
Your classifier is secretly an energy based model and you should treat it like one	Unknown	PDF	N/A
Generalization through Memorization: Nearest Neighbor Language Models	Unknown	PDF	N/A
Piecewise linear activations substantially shape the loss surfaces of neural networks	Unknown	PDF	N/A
Contrastive Learning of Structured World Models	Unknown	PDF	N/A
On the Variance of the Adaptive Learning Rate and Beyond	Unknown	PDF	N/A
Scalable Model Compression by Entropy Penalized Reparameterization	Unknown	PDF	N/A
Ensemble Distribution Distillation	Unknown	PDF	N/A
Low-Resource Knowledge-Grounded Dialogue Generation	Unknown	PDF	N/A
Novelty Detection Via Blurring	Unknown	PDF	N/A
A Signal Propagation Perspective for Pruning Neural Networks at Initialization	Unknown	PDF	N/A
GLAD: Learning Sparse Graph Recovery	Unknown	PDF	N/A
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning	Unknown	PDF	N/A
Rethinking the Hyperparameters for Fine-tuning	Unknown	PDF	N/A
Dynamics-Aware Embeddings	Unknown	PDF	N/A
Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models	Unknown	PDF	N/A
Robustness Verification for Transformers	Unknown	PDF	N/A
Improved memory in recurrent neural networks with sequential non-normal dynamics	Unknown	PDF	N/A
Locality and Compositionality in Zero-Shot Learning	Unknown	PDF	N/A
Extreme Classification via Adversarial Softmax Approximation	Unknown	PDF	N/A
Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality	Unknown	PDF	N/A
The Gambler's Problem and Beyond	Unknown	PDF	N/A
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification	Unknown	PDF	N/A
Interpretable Complex-Valued Neural Networks for Privacy Protection	Unknown	PDF	N/A
Geometric Insights into the Convergence of Nonlinear TD Learning	Unknown	PDF	N/A
Learning Compositional Koopman Operators for Model-Based Control	Unknown	PDF	N/A
On the Need for Topology-Aware Generative Models for Manifold-Based Defenses	Unknown	PDF	N/A
Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks	Unknown	PDF	N/A
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations	Unknown	PDF	N/A
Robust anomaly detection and backdoor attack detection via differential privacy	Unknown	PDF	N/A
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents	Unknown	PDF	N/A
Conditional Learning of Fair Representations	Unknown	PDF	N/A
Infinite-Horizon Differentiable Model Predictive Control	Unknown	PDF	N/A
Measuring the Reliability of Reinforcement Learning Algorithms	Unknown	PDF	N/A
Disagreement-Regularized Imitation Learning	Unknown	PDF	N/A
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP	Unknown	PDF	N/A
NAS evaluation is frustratingly hard	Unknown	PDF	N/A
Curvature Graph Network	Unknown	PDF	N/A
Compositional languages emerge in a neural iterated learning model	Unknown	PDF	N/A
Depth-Adaptive Transformer	Unknown	PDF	N/A
Plug and Play Language Models: A Simple Approach to Controlled Text Generation	Unknown	PDF	N/A
NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search	Unknown	PDF	N/A
Self-Adversarial Learning with Comparative Discrimination for Text Generation	Unknown	PDF	N/A
Model Based Reinforcement Learning for Atari	Unknown	PDF	N/A
Stochastic AUC Maximization with Deep Neural Networks	Unknown	PDF	N/A
Compression based bound for non-compressed network: unified generalization error analysis of large compressible deep neural network	Unknown	PDF	N/A
Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control	Unknown	PDF	N/A
GAT: Generative Adversarial Training for Adversarial Example Detection and Classification	Unknown	PDF	N/A
DeepSphere: a graph-based spherical CNN	Unknown	PDF	N/A
Learning-Augmented Data Stream Algorithms	Unknown	PDF	N/A
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)	Unknown	PDF	N/A
Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks	Unknown	PDF	N/A
The Shape of Data: Intrinsic Distance for Data Distributions	Unknown	PDF	N/A
Implementation Matters in Deep RL: A Case Study on PPO and TRPO	Unknown	PDF	N/A
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets	Unknown	PDF	N/A
Universal Approximation with Certified Networks	Unknown	PDF	N/A
Deep Semi-Supervised Anomaly Detection	Unknown	PDF	N/A
BayesOpt Adversarial Attack	Unknown	PDF	N/A
Encoding word order in complex embeddings	Unknown	PDF	N/A
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting	Unknown	PDF	N/A
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution Tasks	Unknown	PDF	N/A
To Relieve Your Headache of Training an MRF, Take AdVIL	Unknown	PDF	N/A
Learning to Link	Unknown	PDF	N/A
Federated Learning with Matched Averaging	Unknown	PDF	N/A
BERTScore: Evaluating Text Generation with BERT	Unknown	PDF	N/A
Dream to Control: Learning Behaviors by Latent Imagination	Unknown	PDF	N/A
What graph neural networks cannot learn: depth vs width	Unknown	PDF	N/A
Provable Benefit of Orthogonal Initialization in Optimizing Deep Linear Networks	Unknown	PDF	N/A
Efficient Probabilistic Logic Reasoning with Graph Neural Networks	Unknown	PDF	N/A
Breaking Certified Defenses: Semantic Adversarial Examples With Spoofed Robustness Certificates	Unknown	PDF	N/A
Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks	Unknown	PDF	N/A
Deep neuroethology of a virtual rodent	Unknown	PDF	N/A
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures	Unknown	PDF	N/A
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving	Unknown	PDF	N/A
Dynamic Time Lag Regression: Predicting What & When	Unknown	PDF	N/A
On Mutual Information Maximization for Representation Learning	Unknown	PDF	N/A
Lite Transformer with Long-Short Range Attention	Unknown	PDF	N/A
Adversarial Policies: Attacking Deep Reinforcement Learning	Unknown	PDF	N/A
A critical analysis of self-supervision, or what we can learn from a single image	Unknown	PDF	N/A
Discovering Motor Programs by Recomposing Demonstrations	Unknown	PDF	N/A
PairNorm: Tackling Oversmoothing in GNNs	Unknown	PDF	N/A
On the Global Convergence of Training Deep Linear ResNets	Unknown	PDF	N/A
Defending Against Physically Realizable Attacks on Image Classification	Unknown	PDF	N/A
Learning to Coordinate Manipulation Skills via Skill Behavior Diversification	Unknown	PDF	N/A
Learning the Arrow of Time for Problems in Reinforcement Learning	Unknown	PDF	N/A
Deep probabilistic subsampling for task-adaptive compressed sensing	Unknown	PDF	N/A
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks	Unknown	PDF	N/A
Multiplicative Interactions and Where to Find Them	Unknown	PDF	N/A
And the Bit Goes Down: Revisiting the Quantization of Neural Networks	Unknown	PDF	N/A
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning	Unknown	PDF	N/A
Curriculum Loss: Robust Learning and Generalization against Label Corruption	Unknown	PDF	N/A
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search	Unknown	PDF	N/A
On the Weaknesses of Reinforcement Learning for Neural Machine Translation	Unknown	PDF	N/A
Contrastive Representation Distillation	Unknown	PDF	N/A
Dynamic Model Pruning with Feedback	Unknown	PDF	N/A
Sign Bits Are All You Need for Black-Box Attacks	Unknown	PDF	N/A
Building Deep Equivariant Capsule Networks	Unknown	PDF	N/A
U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation	Unknown	PDF	N/A
B-Spline CNNs on Lie groups	Unknown	PDF	N/A
Span Recovery for Deep Neural Networks with Applications to Input Obfuscation	Unknown	PDF	N/A
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model	Unknown	PDF	N/A
Sliced Cramer Synaptic Consolidation for Preserving Deeply Learned Representations	Unknown	PDF	N/A
Critical initialisation in continuous approximations of binary neural networks	Unknown	PDF	N/A
Learn to Explain Efficiently via Neural Logic Inductive Learning	Unknown	PDF	N/A
Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention	Unknown	PDF	N/A
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes	Unknown	PDF	N/A
Massively Multilingual Sparse Word Representations	Unknown	PDF	N/A
Deep Audio Priors Emerge From Harmonic Convolutional Networks	Unknown	PDF	N/A
The Local Elasticity of Neural Networks	Unknown	PDF	N/A
RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments	Unknown	PDF	N/A
Uncertainty-guided Continual Learning with Bayesian Neural Networks	Unknown	PDF	N/A
Differentiable Reasoning over a Virtual Knowledge Base	Unknown	PDF	N/A
Understanding and Improving Information Transfer in Multi-Task Learning	Unknown	PDF	N/A
StructPool: Structured Graph Pooling via Conditional Random Fields	Unknown	PDF	N/A
Generative Models for Effective ML on Private, Decentralized Datasets	Unknown	PDF	N/A
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML	Unknown	PDF	N/A
Energy-based models for atomic-resolution protein conformations	Unknown	PDF	N/A
Abductive Commonsense Reasoning	Unknown	PDF	N/A
Training binary neural networks with real-to-binary convolutions	Unknown	PDF	N/A
Maxmin Q-learning: Controlling the Estimation Bias of Q-learning	Unknown	PDF	N/A
Discriminative Particle Filter Reinforcement Learning for Complex Partial observations	Unknown	PDF	N/A
Thieves on Sesame Street! Model Extraction of BERT-based APIs	Unknown	PDF	N/A
High Fidelity Speech Synthesis with Adversarial Networks	Unknown	PDF	N/A
Program Guided Agent	Unknown	PDF	N/A
Sharing Knowledge in Multi-Task Deep Reinforcement Learning	Unknown	PDF	N/A
Controlling generative models with continuous factors of variations	Unknown	PDF	N/A
Federated Adversarial Domain Adaptation	Unknown	PDF	N/A
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control	Unknown	PDF	N/A
AdvectiveNet: An Eulerian-Lagrangian Fluidic Reservoir for Point Cloud Processing	Unknown	PDF	N/A
State-only Imitation with Transition Dynamics Mismatch	Unknown	PDF	N/A
Lipschitz constant estimation of Neural Networks via sparse polynomial optimization	Unknown	PDF	N/A
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation	Unknown	PDF	N/A
A Fair Comparison of Graph Neural Networks for Graph Classification	Unknown	PDF	N/A
Deep Imitative Models for Flexible Inference, Planning, and Control	Unknown	PDF	N/A
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History	Unknown	PDF	N/A
Distance-Based Learning from Errors for Confidence Calibration	Unknown	PDF	N/A
Training Recurrent Neural Networks Online by Learning Explicit State Variables	Unknown	PDF	N/A
Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings	Unknown	PDF	N/A
CoPhy: Counterfactual Learning of Physical Dynamics	Unknown	PDF	N/A
ES-MAML: Simple Hessian-Free Meta Learning	Unknown	PDF	N/A
Combining Q-Learning and Search with Amortized Value Estimates	Unknown	PDF	N/A
Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints	Unknown	PDF	N/A
Are Pre-trained Language Models Aware of Phrases? Simple but Strong Baselines for Grammar Induction	Unknown	PDF	N/A
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks	Unknown	PDF	N/A
Towards Stable and Efficient Training of Verifiably Robust Neural Networks	Unknown	PDF	N/A
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence	Unknown	PDF	N/A
The Break-Even Point on Optimization Trajectories of Deep Neural Networks	Unknown	PDF	N/A
Adjustable Real-time Style Transfer	Unknown	PDF	N/A
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations	Unknown	PDF	N/A
Learned Step Size Quantization	Unknown	PDF	N/A
Low-dimensional statistical manifold embedding of directed graphs	Unknown	PDF	N/A
Query-efficient Meta Attack to Deep Neural Networks	Unknown	PDF	N/A
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform	Unknown	PDF	N/A
Learning Expensive Coordination: An Event-Based Deep RL Approach	Unknown	PDF	N/A
Adversarial Lipschitz Regularization	Unknown	PDF	N/A
Provable robustness against all adversarial $l_p$-perturbations for $p\geq 1$	Unknown	PDF	N/A
Effect of Activation Functions on the Training of Overparametrized Neural Nets	Unknown	PDF	N/A
Transferring Optimality Across Data Distributions via Homotopy Methods	Unknown	PDF	N/A
Population-Guided Parallel Policy Search for Reinforcement Learning	Unknown	PDF	N/A
Explanation by Progressive Exaggeration	Unknown	PDF	N/A
Enhancing Adversarial Defense by k-Winners-Take-All	Unknown	PDF	N/A
Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier	Unknown	PDF	N/A
Making Sense of Reinforcement Learning and Probabilistic Inference	Unknown	PDF	N/A
Tree-Structured Attention with Hierarchical Accumulation	Unknown	PDF	N/A
Optimal Strategies Against Generative Attacks	Unknown	PDF	N/A
Deep Network Classification by Scattering and Homotopy Dictionary Learning	Unknown	PDF	N/A
Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics	Unknown	PDF	N/A
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models	Unknown	PDF	N/A
On Universal Equivariant Set Networks	Unknown	PDF	N/A
Neural tangent kernels, transportation mappings, and universal approximation	Unknown	PDF	N/A
CLN2INV: Learning Loop Invariants with Continuous Logic Networks	Unknown	PDF	N/A
Neural Epitome Search for Architecture-Agnostic Network Compression	Unknown	PDF	N/A
Episodic Reinforcement Learning with Associative Memory	Unknown	PDF	N/A
Improving Neural Language Generation with Spectrum Control	Unknown	PDF	N/A
In Search for a SAT-friendly Binarized Neural Network Architecture	Unknown	PDF	N/A
CLEVRER: Collision Events for Video Representation and Reasoning	Unknown	PDF	N/A
Understanding Generalization in Recurrent Neural Networks	Unknown	PDF	N/A
Harnessing Structures for Value-Based Planning and Reinforcement Learning	Unknown	PDF	N/A
Multilingual Alignment of Contextual Word Representations	Unknown	PDF	N/A
Mathematical Reasoning in Latent Space	Unknown	PDF	N/A
Smooth markets: A basic mechanism for organizing gradient-based learners	Unknown	PDF	N/A
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework	Unknown	PDF	N/A
Learning to solve the credit assignment problem	Unknown	PDF	N/A
Permutation Equivariant Models for Compositional Generalization in Language	Unknown	PDF	N/A
The Logical Expressiveness of Graph Neural Networks	Unknown	PDF	N/A
Reducing Transformer Depth on Demand with Structured Dropout	Unknown	PDF	N/A
On Identifiability in Transformers	Unknown	PDF	N/A
Overlearning Reveals Sensitive Attributes	Unknown	PDF	N/A
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius	Unknown	PDF	N/A
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization	Unknown	PDF	N/A
Sample Efficient Policy Gradient Methods with Recursive Variance Reduction	Unknown	PDF	N/A
Mutual Information Gradient Estimation for Representation Learning	Unknown	PDF	N/A
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning	Unknown	PDF	N/A
Lagrangian Fluid Simulation with Continuous Convolutions	Unknown	PDF	N/A
Pruned Graph Scattering Transforms	Unknown	PDF	N/A
Influence-Based Multi-Agent Exploration	Unknown	PDF	N/A
Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling	Unknown	PDF	N/A
DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames	Unknown	PDF	N/A
Four Things Everyone Should Know to Improve Batch Normalization	Unknown	PDF	N/A
On Bonus Based Exploration Methods In The Arcade Learning Environment	Unknown	PDF	N/A
Weakly Supervised Clustering by Exploiting Unique Class Count	Unknown	PDF	N/A
Theory and Evaluation Metrics for Learning Disentangled Representations	Unknown	PDF	N/A
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning	Unknown	PDF	N/A
Rotation-invariant clustering of neuronal responses in primary visual cortex	Unknown	PDF	N/A
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation	Unknown	PDF	N/A
EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks	Unknown	PDF	N/A
Intrinsic Motivation for Encouraging Synergistic Behavior	Unknown	PDF	N/A
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality	Unknown	PDF	N/A
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models	Unknown	PDF	N/A
Data-dependent Gaussian Prior Objective for Language Generation	Unknown	PDF	N/A
Intensity-Free Learning of Temporal Point Processes	Unknown	PDF	N/A
GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding	Unknown	PDF	N/A
Masked Based Unsupervised Content Transfer	Unknown	PDF	N/A
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation	Unknown	PDF	N/A
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives	Unknown	PDF	N/A
A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms	Unknown	PDF	N/A
Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks	Unknown	PDF	N/A
Truth or backpropaganda? An empirical investigation of deep learning theory	Unknown	PDF	N/A
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks	Unknown	PDF	N/A
Exploring Model-based Planning with Policy Networks	Unknown	PDF	N/A
Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation	Unknown	PDF	N/A
Improving Adversarial Robustness Requires Revisiting Misclassified Examples	Unknown	PDF	N/A
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning	Unknown	PDF	N/A
Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization	Unknown	PDF	N/A
FasterSeg: Searching for Faster Real-time Semantic Segmentation	Unknown	PDF	N/A
Jacobian Adversarially Regularized Networks for Robustness	Unknown	PDF	N/A
Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication	Unknown	PDF	N/A
Cross-Lingual Ability of Multilingual BERT: An Empirical Study	Unknown	PDF	N/A
DivideMix: Learning with Noisy Labels as Semi-supervised Learning	Unknown	PDF	N/A
Quantifying the Cost of Reliable Photo Authentication via High-Performance Learned Lossy Representations	Unknown	PDF	N/A
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning	Unknown	PDF	N/A
Monotonic Multihead Attention	Unknown	PDF	N/A
Residual Energy-Based Models for Text Generation	Unknown	PDF	N/A
Fantastic Generalization Measures and Where to Find Them	Unknown	PDF	N/A
Adversarially robust transfer learning	Unknown	PDF	N/A
Adversarially Robust Representations with Smooth Encoders	Unknown	PDF	N/A
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning	Unknown	PDF	N/A
Graph inference learning for semi-supervised classification	Unknown	PDF	N/A
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth	Unknown	PDF	N/A
Revisiting Self-Training for Neural Sequence Generation	Unknown	PDF	N/A
Imitation Learning via Off-Policy Distribution Matching	Unknown	PDF	N/A
Iterative energy-based projection on a normal data manifold for anomaly localization	Unknown	PDF	N/A
A Closer Look at Deep Policy Gradients	Unknown	PDF	N/A
Tensor Decompositions for Temporal Knowledge Base Completion	Unknown	PDF	N/A
Progressive Memory Banks for Incremental Domain Adaptation	Unknown	PDF	N/A
IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks	Unknown	PDF	N/A
AtomNAS: Fine-Grained End-to-End Neural Architecture Search	Unknown	PDF	N/A
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning	Unknown	PDF	N/A
The Ingredients of Real World Robotic Reinforcement Learning	Unknown	PDF	N/A
Frequency-based Search-control in Dyna	Unknown	PDF	N/A
Exploration in Reinforcement Learning with Deep Covering Options	Unknown	PDF	N/A
Projection-Based Constrained Policy Optimization	Unknown	PDF	N/A
On Robustness of Neural Ordinary Differential Equations	Unknown	PDF	N/A
Generalization bounds for deep convolutional neural networks	Unknown	PDF	N/A
Learning to Control PDEs with Differentiable Physics	Unknown	PDF	N/A
Real or Not Real, that is the Question	Unknown	PDF	N/A
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds	Unknown	PDF	N/A
MMA Training: Direct Input Space Margin Maximization through Adversarial Training	Unknown	PDF	N/A
Editable Neural Networks	Unknown	PDF	N/A
Learning to Move with Affordance Maps	Unknown	PDF	N/A
Model-Augmented Actor-Critic: Backpropagating through Paths	Unknown	PDF	N/A
Multi-Agent Interactions Modeling with Correlated Policies	Unknown	PDF	N/A
Model-based reinforcement learning for biological sequence design	Unknown	PDF	N/A
Intriguing Properties of Adversarial Training at Scale	Unknown	PDF	N/A
Behaviour Suite for Reinforcement Learning	Unknown	PDF	N/A
Meta-Q-Learning	Unknown	PDF	N/A
Deep Double Descent: Where Bigger Models and More Data Hurt	Unknown	PDF	N/A
Understanding Architectures Learnt by Cell-based Neural Architecture Search	Unknown	PDF	N/A
Extreme Tensoring for Low-Memory Preconditioning	Unknown	PDF	N/A
Differentiable learning of numerical rules in knowledge graphs	Unknown	PDF	N/A
Neural Network Branching for Neural Network Verification	Unknown	PDF	N/A
Learning representations for binary-classification without backpropagation	Unknown	PDF	N/A
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search	Unknown	PDF	N/A
Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity	Unknown	PDF	N/A
Robust Local Features for Improving the Generalization of Adversarial Training	Unknown	PDF	N/A
Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks	Unknown	PDF	N/A
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning	Unknown	PDF	N/A
Learning Space Partitions for Nearest Neighbor Search	Unknown	PDF	N/A
Geometric Analysis of Nonconvex Optimization Landscapes for Overcomplete Learning	Unknown	PDF	N/A
Principled Weight Initialization for Hypernetworks	Unknown	PDF	N/A
Order Learning and Its Application to Age Estimation	Unknown	PDF	N/A
Recurrent neural circuits for contour detection	Unknown	PDF	N/A
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs	Unknown	PDF	N/A
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions	Unknown	PDF	N/A
DiffTaichi: Differentiable Programming for Physical Simulation	Unknown	PDF	N/A
Efficient and Information-Preserving Future Frame Prediction and Beyond	Unknown	PDF	N/A
Meta-Learning Deep Energy-Based Memory Models	Unknown	PDF	N/A
Bayesian Meta Sampling for Fast Uncertainty Adaptation	Unknown	PDF	N/A
Restricting the Flow: Information Bottlenecks for Attribution	Unknown	PDF	N/A
Multi-agent Reinforcement Learning for Networked System Control	Unknown	PDF	N/A
Composition-based Multi-Relational Graph Convolutional Networks	Unknown	PDF	N/A
Gradient $\ell_1$ Regularization for Quantization Robustness	Unknown	PDF	N/A
Towards neural networks that provably know when they don't know	Unknown	PDF	N/A
Reanalysis of Variance Reduced Temporal Difference Learning	Unknown	PDF	N/A
Quantum Algorithms for Deep Convolutional Neural Networks	Unknown	PDF	N/A
Inductive representation learning on temporal graphs	Unknown	PDF	N/A
Bounds on Over-Parameterization for Guaranteed Existence of Descent Paths in Shallow ReLU Networks	Unknown	PDF	N/A
Consistency Regularization for Generative Adversarial Networks	Unknown	PDF	N/A
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation	Unknown	PDF	N/A
Learning to Guide Random Search	Unknown	PDF	N/A
Emergent Tool Use From Multi-Agent Autocurricula	Unknown	PDF	N/A
Can gradient clipping mitigate label noise?	Unknown	PDF	N/A
From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech	Unknown	PDF	N/A
LAMOL: LAnguage MOdeling for Lifelong Language Learning	Unknown	PDF	N/A
Sparse Coding with Gated Learned ISTA	Unknown	PDF	N/A
FSPool: Learning Set Representations with Featurewise Sort Pooling	Unknown	PDF	N/A
Pre-training Tasks for Embedding-based Large-scale Retrieval	Unknown	PDF	N/A
Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks	Unknown	PDF	N/A
DeepV2D: Video to Depth with Differentiable Structure from Motion	Unknown	PDF	N/A
AMRL: Aggregated Memory For Reinforcement Learning	Unknown	PDF	N/A
Learning to Represent Programs with Property Signatures	Unknown	PDF	N/A
V4D: 4D Convolutional Neural Networks for Video-level Representation Learning	Unknown	PDF	N/A
Selection via Proxy: Efficient Data Selection for Deep Learning	Unknown	PDF	N/A
PCMC-Net: Feature-based Pairwise Choice Markov Chains	Unknown	PDF	N/A
BackPACK: Packing more into Backprop	Unknown	PDF	N/A
Kernel of CycleGAN as a principal homogeneous space	Unknown	PDF	N/A
Higher-Order Function Networks for Learning Composable 3D Object Representations	Unknown	PDF	N/A
Decoding As Dynamic Programming For Recurrent Autoregressive Models	Unknown	PDF	N/A
Variational Recurrent Models for Solving Partially Observable Control Tasks	Unknown	PDF	N/A
Learning Heuristics for Quantified Boolean Formulas through Reinforcement Learning	Unknown	PDF	N/A
VL-BERT: Pre-training of Generic Visual-Linguistic Representations	Unknown	PDF	N/A
On the Convergence of FedAvg on Non-IID Data	Unknown	PDF	N/A
Never Give Up: Learning Directed Exploration Strategies	Unknown	PDF	N/A
Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem	Unknown	PDF	N/A
Deep Learning For Symbolic Mathematics	Unknown	PDF	N/A
Incorporating BERT into Neural Machine Translation	Unknown	PDF	N/A
Escaping Saddle Points Faster with Stochastic Momentum	Unknown	PDF	N/A
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping	Unknown	PDF	N/A
Unpaired Point Cloud Completion on Real Scans using Adversarial Training	Unknown	PDF	N/A
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers	Unknown	PDF	N/A
ProxSGD: Training Structured Neural Networks under Regularization and Constraints	Unknown	PDF	N/A
Single Episode Policy Transfer in Reinforcement Learning	Unknown	PDF	N/A
Don't Use Large Mini-batches, Use Local SGD	Unknown	PDF	N/A
Disentangling Factors of Variations Using Few Labels	Unknown	PDF	N/A
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation	Unknown	PDF	N/A
Stable Rank Normalization for Improved Generalization in Neural Networks and GANs	Unknown	PDF	N/A
A Framework for Robustness Certification of Smoothed Classifiers Using F-Divergences	Unknown	PDF	N/A
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring in Data	Unknown	PDF	N/A
Gradients as Features for Deep Representation Learning	Unknown	PDF	N/A
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells	Unknown	PDF	N/A
Large Batch Optimization for Deep Learning: Training BERT in 76 minutes	Unknown	PDF	N/A
The asymptotic spectrum of the Hessian of DNN throughout training	Unknown	PDF	N/A
Detecting Extrapolation with Local Ensembles	Unknown	PDF	N/A
Spectral Embedding of Regularized Block Models	Unknown	PDF	N/A
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients	Unknown	PDF	N/A
How much Position Information Do Convolutional Neural Networks Encode?	Unknown	PDF	N/A
RGBD-GAN: Unsupervised 3D Representation Learning From Natural Image Datasets via RGBD Image Synthesis	Unknown	PDF	N/A
Weakly Supervised Disentanglement with Guarantees	Unknown	PDF	N/A
Directional Message Passing for Molecular Graphs	Unknown	PDF	N/A
Information Geometry of Orthogonal Initializations and Training	Unknown	PDF	N/A
BatchEnsemble: an Alternative Approach to Efficient Ensemble and Lifelong Learning	Unknown	PDF	N/A
Minimizing FLOPs to Learn Efficient Sparse Representations	Unknown	PDF	N/A
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel	Unknown	PDF	N/A
A Mutual Information Maximization Perspective of Language Representation Learning	Unknown	PDF	N/A
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators	Unknown	PDF	N/A
Diverse Trajectory Forecasting with Determinantal Point Processes	Unknown	PDF	N/A
Graph Convolutional Reinforcement Learning	Unknown	PDF	N/A
Picking Winning Tickets Before Training by Preserving Gradient Flow	Unknown	PDF	N/A
Unsupervised Clustering using Pseudo-semi-supervised Learning	Unknown	PDF	N/A
Learning transport cost from subset correspondence	Unknown	PDF	N/A
Scalable and Order-robust Continual Learning with Additive Parameter Decomposition	Unknown	PDF	N/A
Scaling Autoregressive Video Models	Unknown	PDF	N/A
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations	Unknown	PDF	N/A
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters	Unknown	PDF	N/A
Linear Symmetric Quantization of Neural Networks for Low-precision Integer Hardware	Unknown	PDF	N/A
Reformer: The Efficient Transformer	Unknown	PDF	N/A
Automatically Discovering and Learning New Visual Categories with Ranking Statistics	Unknown	PDF	N/A
Difference-Seeking Generative Adversarial Network--Unseen Sample Generation	Unknown	PDF	N/A
Comparing Rewinding and Fine-tuning in Neural Network Pruning	Unknown	PDF	N/A
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively	Unknown	PDF	N/A
Are Transformers universal approximators of sequence-to-sequence functions?	Unknown	PDF	N/A
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding	Unknown	PDF	N/A
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation	Unknown	PDF	N/A
RTFM: Generalising to New Environment Dynamics via Reading	Unknown	PDF	N/A
Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing	Unknown	PDF	N/A
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference	Unknown	PDF	N/A
Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification	Unknown	PDF	N/A
You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings	Unknown	PDF	N/A
SUMO: Unbiased Estimation of Log Marginal Probability for Latent Variable Models	Unknown	PDF	N/A
Understanding l4-based Dictionary Learning: Interpretation, Stability, and Robustness	Unknown	PDF	N/A
Inductive Matrix Completion Based on Graph Neural Networks	Unknown	PDF	N/A
LambdaNet: Probabilistic Type Inference using Graph Neural Networks	Unknown	PDF	N/A
Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings	Unknown	PDF	N/A
Conservative Uncertainty Estimation By Fitting Prior Networks	Unknown	PDF	N/A
Compressive Transformers for Long-Range Sequence Modelling	Unknown	PDF	N/A
word2ket: Space-efficient Word Embeddings inspired by Quantum Entanglement	Unknown	PDF	N/A
Differentially Private Meta-Learning	Unknown	PDF	N/A
Adaptive Structural Fingerprints for Graph Attention Networks	Unknown	PDF	N/A
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data	Unknown	PDF	N/A
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization	Unknown	PDF	N/A
Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies	Unknown	PDF	N/A
Learning to Learn by Zeroth-Order Oracle	Unknown	PDF	N/A
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering	Unknown	PDF	N/A
Training Generative Adversarial Networks from Incomplete Observations using Factorised Discriminators	Unknown	PDF	N/A
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation	Unknown	PDF	N/A
Learning The Difference That Makes A Difference With Counterfactually-Augmented Data	Unknown	PDF	N/A
White Noise Analysis of Neural Networks	Unknown	PDF	N/A
Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems	Unknown	PDF	N/A
Neural Outlier Rejection for Self-Supervised Keypoint Learning	Unknown	PDF	N/A
Estimating Gradients for Discrete Random Variables by Sampling without Replacement	Unknown	PDF	N/A
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation	Unknown	PDF	N/A
Reinforced active learning for image segmentation	Unknown	PDF	N/A
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach	Unknown	PDF	N/A
A Stochastic Derivative Free Optimization Method with Momentum	Unknown	PDF	N/A
Input Complexity and Out-of-distribution Detection with Likelihood-based Generative Models	Unknown	PDF	N/A
Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech	Unknown	PDF	N/A
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue	Unknown	PDF	N/A
Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search	Unknown	PDF	N/A
Physics-as-Inverse-Graphics: Unsupervised Physical Parameter Estimation from Video	Unknown	PDF	N/A
Jelly Bean World: A Testbed for Never-Ending Learning	Unknown	PDF	N/A
Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information	Unknown	PDF	N/A
FreeLB: Enhanced Adversarial Training for Natural Language Understanding	Unknown	PDF	N/A
Neural Module Networks for Reasoning over Text	Unknown	PDF	N/A
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum	Unknown	PDF	N/A
AutoQ: Automated Kernel-Wise Neural Network Quantization	Unknown	PDF	N/A
V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control	Unknown	PDF	N/A
Meta-Learning without Memorization	Unknown	PDF	N/A
DDSP: Differentiable Digital Signal Processing	Unknown	PDF	N/A
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case	Unknown	PDF	N/A
What Can Neural Networks Reason About?	Unknown	PDF	N/A
MetaPix: Few-Shot Video Retargeting	Unknown	PDF	N/A
Functional Regularisation for Continual Learning with Gaussian Processes	Unknown	PDF	N/A
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization	Unknown	PDF	N/A
Probability Calibration for Knowledge Graph Embedding Models	Unknown	PDF	N/A
Thinking While Moving: Deep Reinforcement Learning with Concurrent Control	Unknown	PDF	N/A
Smoothness and Stability in GANs	Unknown	PDF	N/A
From Variational to Deterministic Autoencoders	Unknown	PDF	N/A
SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks	Unknown	PDF	N/A
Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification	Unknown	PDF	N/A
CATER: A diagnostic dataset for Compositional Actions & TEmporal Reasoning	Unknown	PDF	N/A
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks	Unknown	PDF	N/A
How to 0wn the NAS in Your Spare Time	Unknown	PDF	N/A
Variational Template Machine for Data-to-Text Generation	Unknown	PDF	N/A
Deep Graph Matching Consensus	Unknown	PDF	N/A
Certified Defenses for Adversarial Patches	Unknown	PDF	N/A
The Curious Case of Neural Text Degeneration	Unknown	PDF	N/A
Learning Nearly Decomposable Value Functions Via Communication Minimization	Unknown	PDF	N/A
Short and Sparse Deconvolution --- A Geometric Approach	Unknown	PDF	N/A
Deep 3D Pan via Local adaptive "t-shaped" convolutions with global and local adaptive dilations	Unknown	PDF	N/A
Distributionally Robust Neural Networks	Unknown	PDF	N/A
DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling	Unknown	PDF	N/A
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack	Unknown	PDF	N/A
Evaluating The Search Phase of Neural Architecture Search	Unknown	PDF	N/A
A Baseline for Few-Shot Image Classification	Unknown	PDF	N/A
Abstract Diagrammatic Reasoning with Multiplex Graph Networks	Unknown	PDF	N/A
SNODE: Spectral Discretization of Neural ODEs for System Identification	Unknown	PDF	N/A
On the "steerability" of generative adversarial networks	Unknown	PDF	N/A
SVQN: Sequential Variational Soft Q-Learning Networks	Unknown	PDF	N/A
Automated curriculum generation through setter-solver interactions	Unknown	PDF	N/A
One-Shot Pruning of Recurrent Neural Networks by Jacobian Spectrum Evaluation	Unknown	PDF	N/A
Synthesizing Programmatic Policies that Inductively Generalize	Unknown	PDF	N/A
The Implicit Bias of Depth: How Incremental Learning Drives Generalization	Unknown	PDF	N/A
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks	Unknown	PDF	N/A
Double Neural Counterfactual Regret Minimization	Unknown	PDF	N/A
Continual Learning with Adaptive Weights (CLAW)	Unknown	PDF	N/A
SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards	Unknown	PDF	N/A
Logic and the 2-Simplicial Transformer	Unknown	PDF	N/A
Image-guided Neural Object Rendering	Unknown	PDF	N/A

ICLR 2021

Title	Author	PDF_Link	Code_URL
UMEC: Unified model and embedding compression for efficient recommendation systems	Unknown	PDF	N/A
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification	Unknown	PDF	N/A
ResNet After All: Neural ODEs and Their Numerical Solution	Unknown	PDF	N/A
Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks	Unknown	PDF	N/A
MetaNorm: Learning to Normalize Few-Shot Batches Across Domains	Unknown	PDF	N/A
Fidelity-based Deep Adiabatic Scheduling	Unknown	PDF	N/A
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching	Unknown	PDF	N/A
CPT: Efficient Deep Neural Network Training via Cyclic Precision	Unknown	PDF	N/A
Tilted Empirical Risk Minimization	Unknown	PDF	N/A
Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces	Unknown	PDF	N/A
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning	Unknown	PDF	N/A
SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning	Unknown	PDF	N/A
Learning to Generate 3D Shapes with Generative Cellular Automata	Unknown	PDF	N/A
Sliced Kernelized Stein Discrepancy	Unknown	PDF	N/A
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation	Unknown	PDF	N/A
VA-RED$^2$: Video Adaptive Redundancy Reduction	Unknown	PDF	N/A
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization	Unknown	PDF	N/A
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity	Unknown	PDF	N/A
Statistical inference for individual fairness	Unknown	PDF	N/A
Emergent Symbols through Binding in External Memory	Unknown	PDF	N/A
Early Stopping in Deep Networks: Double Descent and How to Eliminate it	Unknown	PDF	N/A
On the Universality of the Double Descent Peak in Ridgeless Regression	Unknown	PDF	N/A
Evaluation of Neural Architectures Trained With Square Loss vs Cross-Entropy in Classification Tasks	Unknown	PDF	N/A
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs	Unknown	PDF	N/A
Simple Spectral Graph Convolution	Unknown	PDF	N/A
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection	Unknown	PDF	N/A
Deconstructing the Regularization of BatchNorm	Unknown	PDF	N/A
RMSprop converges with proper hyper-parameter	Unknown	PDF	N/A
Generative Scene Graph Networks	Unknown	PDF	N/A
Learnable Embedding sizes for Recommender Systems	Unknown	PDF	N/A
Overfitting for Fun and Profit: Instance-Adaptive Data Compression	Unknown	PDF	N/A
Acting in Delayed Environments with Non-Stationary Markov Policies	Unknown	PDF	N/A
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity	Unknown	PDF	N/A
Solving Compositional Reinforcement Learning Problems via Task Reduction	Unknown	PDF	N/A
A Geometric Analysis of Deep Generative Image Models and Its Applications	Unknown	PDF	N/A
A Discriminative Gaussian Mixture Model with Sparsity	Unknown	PDF	N/A
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels	Unknown	PDF	N/A
Certify or Predict: Boosting Certified Robustness with Compositional Architectures	Unknown	PDF	N/A
Taming GANs with Lookahead-Minmax	Unknown	PDF	N/A
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis	Unknown	PDF	N/A
Learning Subgoal Representations with Slow Dynamics	Unknown	PDF	N/A
GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images	Unknown	PDF	N/A
CO2: Consistent Contrast for Unsupervised Visual Representation Learning	Unknown	PDF	N/A
CPR: Classifier-Projection Regularization for Continual Learning	Unknown	PDF	N/A
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery	Unknown	PDF	N/A
Fooling a Complete Neural Network Verifier	Unknown	PDF	N/A
Representation Learning via Invariant Causal Mechanisms	Unknown	PDF	N/A
Interpreting and Boosting Dropout from a Game-Theoretic View	Unknown	PDF	N/A
Quantifying Differences in Reward Functions	Unknown	PDF	N/A
BOIL: Towards Representation Change for Few-shot Learning	Unknown	PDF	N/A
Generating Adversarial Computer Programs using Optimized Obfuscations	Unknown	PDF	N/A
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis	Unknown	PDF	N/A
Stabilized Medical Image Attacks	Unknown	PDF	N/A
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization	Unknown	PDF	N/A
Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections	Unknown	PDF	N/A
Memory Optimization for Deep Networks	Unknown	PDF	N/A
Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering	Unknown	PDF	N/A
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies	Unknown	PDF	N/A
Hyperbolic Neural Networks++	Unknown	PDF	N/A
Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies	Unknown	PDF	N/A
Spatially Structured Recurrent Modules	Unknown	PDF	N/A
Teaching Temporal Logics to Neural Networks	Unknown	PDF	N/A
Self-supervised Visual Reinforcement Learning with Object-centric Representations	Unknown	PDF	N/A
On Self-Supervised Image Representations for GAN Evaluation	Unknown	PDF	N/A
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time	Unknown	PDF	N/A
Reset-Free Lifelong Learning with Skill-Space Planning	Unknown	PDF	N/A
Fast Geometric Projections for Local Robustness Certification	Unknown	PDF	N/A
TropEx: An Algorithm for Extracting Linear Terms in Deep Neural Networks	Unknown	PDF	N/A
Adapting to Reward Progressivity via Spectral Reinforcement Learning	Unknown	PDF	N/A
Decentralized Attribution of Generative Models	Unknown	PDF	N/A
Combining Physics and Machine Learning for Network Flow Estimation	Unknown	PDF	N/A
Large Batch Simulation for Deep Reinforcement Learning	Unknown	PDF	N/A
Byzantine-Resilient Non-Convex Stochastic Gradient Descent	Unknown	PDF	N/A
Accurate Learning of Graph Representations with Graph Multiset Pooling	Unknown	PDF	N/A
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing	Unknown	PDF	N/A
Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning	Unknown	PDF	N/A
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks	Unknown	PDF	N/A
Anytime Sampling for Autoregressive Models via Ordered Autoencoding	Unknown	PDF	N/A
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning	Unknown	PDF	N/A
Iterated learning for emergent systematicity in VQA	Unknown	PDF	N/A
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning	Unknown	PDF	N/A
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains	Unknown	PDF	N/A
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets?	Unknown	PDF	N/A
Learning to Make Decisions via Submodular Regularization	Unknown	PDF	N/A
Adaptive and Generative Zero-Shot Learning	Unknown	PDF	N/A
CompOFA – Compound Once-For-All Networks for Faster Multi-Platform Deployment	Unknown	PDF	N/A
LambdaNetworks: Modeling long-range Interactions without Attention	Unknown	PDF	N/A
Orthogonalizing Convolutional Layers with the Cayley Transform	Unknown	PDF	N/A
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs	Unknown	PDF	N/A
Gradient Projection Memory for Continual Learning	Unknown	PDF	N/A
More or Less: When and How to Build Convolutional Neural Network Ensembles	Unknown	PDF	N/A
Efficient Empowerment Estimation for Unsupervised Stabilization	Unknown	PDF	N/A
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference	Unknown	PDF	N/A
Combining Ensembles and Data Augmentation Can Harm Your Calibration	Unknown	PDF	N/A
Fourier Neural Operator for Parametric Partial Differential Equations	Unknown	PDF	N/A
Saliency is a Possible Red Herring When Diagnosing Poor Generalization	Unknown	PDF	N/A
Provably robust classification of adversarial examples with detection	Unknown	PDF	N/A
SAFENet: A Secure, Accurate and Fast Neural Network Inference	Unknown	PDF	N/A
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training	Unknown	PDF	N/A
Improved Autoregressive Modeling with Distribution Smoothing	Unknown	PDF	N/A
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning	Unknown	PDF	N/A
Combining Label Propagation and Simple Models out-performs Graph Neural Networks	Unknown	PDF	N/A
Local Search Algorithms for Rank-Constrained Convex Optimization	Unknown	PDF	N/A
Pre-training Text-to-Text Transformers for Concept-centric Common Sense	Unknown	PDF	N/A
Decoupling Global and Local Representations via Invertible Generative Flows	Unknown	PDF	N/A
SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing	Unknown	PDF	N/A
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology	Unknown	PDF	N/A
End-to-End Egospheric Spatial Memory	Unknown	PDF	N/A
Neural Approximate Sufficient Statistics for Implicit Models	Unknown	PDF	N/A
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification	Unknown	PDF	N/A
BREEDS: Benchmarks for Subpopulation Shift	Unknown	PDF	N/A
PAC Confidence Predictions for Deep Neural Network Classifiers	Unknown	PDF	N/A
Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning	Unknown	PDF	N/A
Hopper: Multi-hop Transformer for Spatiotemporal Reasoning	Unknown	PDF	N/A
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients	Unknown	PDF	N/A
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning	Unknown	PDF	N/A
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms	Unknown	PDF	N/A
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition	Unknown	PDF	N/A
Dataset Meta-Learning from Kernel Ridge-Regression	Unknown	PDF	N/A
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning	Unknown	PDF	N/A
On Position Embeddings in BERT	Unknown	PDF	N/A
Contrastive Explanations for Reinforcement Learning via Embedded Self Predictions	Unknown	PDF	N/A
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy	Unknown	PDF	N/A
Uncertainty Sets for Image Classifiers using Conformal Prediction	Unknown	PDF	N/A
Conditional Negative Sampling for Contrastive Learning of Visual Representations	Unknown	PDF	N/A
Faster Binary Embeddings for Preserving Euclidean Distances	Unknown	PDF	N/A
Model-Based Offline Planning	Unknown	PDF	N/A
Neural Networks for Learning Counterfactual G-Invariances from Single Environments	Unknown	PDF	N/A
Learning Energy-Based Models by Diffusion Recovery Likelihood	Unknown	PDF	N/A
QPLEX: Duplex Dueling Multi-Agent Q-Learning	Unknown	PDF	N/A
Does enhanced shape bias improve neural network robustness to common corruptions?	Unknown	PDF	N/A
OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning	Unknown	PDF	N/A
PDE-Driven Spatiotemporal Disentanglement	Unknown	PDF	N/A
Mapping the Timescale Organization of Neural Language Models	Unknown	PDF	N/A
The Intrinsic Dimension of Images and Its Impact on Learning	Unknown	PDF	N/A
Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models	Unknown	PDF	N/A
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers	Unknown	PDF	N/A
Long Range Arena : A Benchmark for Efficient Transformers	Unknown	PDF	N/A
Recurrent Independent Mechanisms	Unknown	PDF	N/A
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering	Unknown	PDF	N/A
SALD: Sign Agnostic Learning with Derivatives	Unknown	PDF	N/A
WaveGrad: Estimating Gradients for Waveform Generation	Unknown	PDF	N/A
Linear Last-iterate Convergence in Constrained Saddle-point Optimization	Unknown	PDF	N/A
Go with the flow: Adaptive control for Neural ODEs	Unknown	PDF	N/A
Understanding Over-parameterization in Generative Adversarial Networks	Unknown	PDF	N/A
Multiscale Score Matching for Out-of-Distribution Detection	Unknown	PDF	N/A
Random Feature Attention	Unknown	PDF	N/A
Tradeoffs in Data Augmentation: An Empirical Study	Unknown	PDF	N/A
Rapid Task-Solving in Novel Environments	Unknown	PDF	N/A
Extracting Strong Policies for Robotics Tasks from Zero-Order Trajectory Optimizers	Unknown	PDF	N/A
Unsupervised Discovery of 3D Physical Objects	Unknown	PDF	N/A
Sample-Efficient Automated Deep Reinforcement Learning	Unknown	PDF	N/A
Learning Structural Edits via Incremental Tree Transformations	Unknown	PDF	N/A
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis	Unknown	PDF	N/A
Practical Real Time Recurrent Learning with a Sparse Approximation	Unknown	PDF	N/A
Private Post-GAN Boosting	Unknown	PDF	N/A
Modeling the Second Player in Distributionally Robust Optimization	Unknown	PDF	N/A
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark	Unknown	PDF	N/A
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG	Unknown	PDF	N/A
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding	Unknown	PDF	N/A
Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks	Unknown	PDF	N/A
R-GAP: Recursive Gradient Attack on Privacy	Unknown	PDF	N/A
Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation	Unknown	PDF	N/A
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks	Unknown	PDF	N/A
Chaos of Learning Beyond Zero-sum and Coordination via Game Decompositions	Unknown	PDF	N/A
Grounding Language to Autonomously-Acquired Skills via Goal Generation	Unknown	PDF	N/A
Trajectory Prediction using Equivariant Continuous Convolution	Unknown	PDF	N/A
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels	Unknown	PDF	N/A
On the role of planning in model-based deep reinforcement learning	Unknown	PDF	N/A
A Hypergradient Approach to Robust Regression without Correspondence	Unknown	PDF	N/A
Fast convergence of stochastic subgradient method under interpolation	Unknown	PDF	N/A
Wasserstein Embedding for Graph Learning	Unknown	PDF	N/A
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization	Unknown	PDF	N/A
Shape or Texture: Understanding Discriminative Features in CNNs	Unknown	PDF	N/A
Neurally Augmented ALISTA	Unknown	PDF	N/A
Learning from Demonstration with Weakly Supervised Disentanglement	Unknown	PDF	N/A
Score-Based Generative Modeling through Stochastic Differential Equations	Unknown	PDF	N/A
On Data-Augmentation and Consistency-Based Semi-Supervised Learning	Unknown	PDF	N/A
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch	Unknown	PDF	N/A
The role of Disentanglement in Generalisation	Unknown	PDF	N/A
Shapley Explanation Networks	Unknown	PDF	N/A
C-Learning: Horizon-Aware Cumulative Accessibility Estimation	Unknown	PDF	N/A
Multi-resolution modeling of a discrete stochastic process identifies causes of cancer	Unknown	PDF	N/A
PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds	Unknown	PDF	N/A
Universal Weakly Supervised Segmentation by Pixel-to-Segment Contrastive Learning	Unknown	PDF	N/A
DINO: A Conditional Energy-Based GAN for Domain Translation	Unknown	PDF	N/A
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients	Unknown	PDF	N/A
AdaSpeech: Adaptive Text to Speech for Custom Voice	Unknown	PDF	N/A
Simple Augmentation Goes a Long Way: ADRL for DNN Quantization	Unknown	PDF	N/A
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds	Unknown	PDF	N/A
SkipW: Resource Adaptable RNN with Strict Upper Computational Limit	Unknown	PDF	N/A
Pruning Neural Networks at Initialization: Why Are We Missing the Mark?	Unknown	PDF	N/A
On the Origin of Implicit Regularization in Stochastic Gradient Descent	Unknown	PDF	N/A
Transient Non-stationarity and Generalisation in Deep Reinforcement Learning	Unknown	PDF	N/A
Adversarial score matching and improved sampling for image generation	Unknown	PDF	N/A
LiftPool: Bidirectional ConvNet Pooling	Unknown	PDF	N/A
Scalable Bayesian Inverse Reinforcement Learning	Unknown	PDF	N/A
Return-Based Contrastive Representation Learning for Reinforcement Learning	Unknown	PDF	N/A
Implicit Gradient Regularization	Unknown	PDF	N/A
Variational Intrinsic Control Revisited	Unknown	PDF	N/A
Understanding and Improving Lexical Choice in Non-Autoregressive Translation	Unknown	PDF	N/A
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models	Unknown	PDF	N/A
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets	Unknown	PDF	N/A
Complex Query Answering with Neural Link Predictors	Unknown	PDF	N/A
Learning to Sample with Local and Global Contexts in Experience Replay Buffer	Unknown	PDF	N/A
Gradient Origin Networks	Unknown	PDF	N/A
Nonseparable Symplectic Neural Networks	Unknown	PDF	N/A
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training	Unknown	PDF	N/A
Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition	Unknown	PDF	N/A
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling	Unknown	PDF	N/A
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning	Unknown	PDF	N/A
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss	Unknown	PDF	N/A
Robust early-learning: Hindering the memorization of noisy labels	Unknown	PDF	N/A
Monte-Carlo Planning and Learning with Language Action Value Estimates	Unknown	PDF	N/A
Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration	Unknown	PDF	N/A
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting	Unknown	PDF	N/A
EigenGame: PCA as a Nash Equilibrium	Unknown	PDF	N/A
DrNAS: Dirichlet Neural Architecture Search	Unknown	PDF	N/A
Graph Edit Networks	Unknown	PDF	N/A
Capturing Label Characteristics in VAEs	Unknown	PDF	N/A
Neural Delay Differential Equations	Unknown	PDF	N/A
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning	Unknown	PDF	N/A
Group Equivariant Stand-Alone Self-Attention For Vision	Unknown	PDF	N/A
Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows	Unknown	PDF	N/A
Undistillable: Making A Nasty Teacher That CANNOT teach students	Unknown	PDF	N/A
Learning Hyperbolic Representations of Topological Features	Unknown	PDF	N/A
Lipschitz Recurrent Neural Networks	Unknown	PDF	N/A
Explaining the Efficacy of Counterfactually Augmented Data	Unknown	PDF	N/A
Behavioral Cloning from Noisy Demonstrations	Unknown	PDF	N/A
Layer-adaptive Sparsity for the Magnitude-based Pruning	Unknown	PDF	N/A
Prototypical Representation Learning for Relation Extraction	Unknown	PDF	N/A
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues	Unknown	PDF	N/A
Deformable DETR: Deformable Transformers for End-to-End Object Detection	Unknown	PDF	N/A
When does preconditioning help or hurt generalization?	Unknown	PDF	N/A
Group Equivariant Conditional Neural Processes	Unknown	PDF	N/A
Learning from Protein Structure with Geometric Vector Perceptrons	Unknown	PDF	N/A
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences	Unknown	PDF	N/A
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies	Unknown	PDF	N/A
Molecule Optimization by Explainable Evolution	Unknown	PDF	N/A
Predicting Inductive Biases of Pre-Trained Models	Unknown	PDF	N/A
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing	Unknown	PDF	N/A
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation	Unknown	PDF	N/A
Multi-timescale Representation Learning in LSTM Language Models	Unknown	PDF	N/A
Adaptive Procedural Task Generation for Hard-Exploration Problems	Unknown	PDF	N/A
DeepAveragers: Offline Reinforcement Learning By Solving Derived Non-Parametric MDPs	Unknown	PDF	N/A
Extreme Memorization via Scale of Initialization	Unknown	PDF	N/A
Prototypical Contrastive Learning of Unsupervised Representations	Unknown	PDF	N/A
Learning from others' mistakes: Avoiding dataset biases without modeling them	Unknown	PDF	N/A
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition	Unknown	PDF	N/A
WaNet - Imperceptible Warping-based Backdoor Attack	Unknown	PDF	N/A
Neural representation and generation for RNA secondary structures	Unknown	PDF	N/A
Can a Fruit Fly Learn Word Embeddings?	Unknown	PDF	N/A
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs	Unknown	PDF	N/A
Evaluations and Methods for Explanation through Robustness Analysis	Unknown	PDF	N/A
gradSim: Differentiable simulation for system identification and visuomotor control	Unknown	PDF	N/A
Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization	Unknown	PDF	N/A
Isotropy in the Contextual Embedding Space: Clusters and Manifolds	Unknown	PDF	N/A
Reinforcement Learning with Random Delays	Unknown	PDF	N/A
Deep Learning meets Projective Clustering	Unknown	PDF	N/A
Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling	Unknown	PDF	N/A
On Graph Neural Networks versus Graph-Augmented MLPs	Unknown	PDF	N/A
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation	Unknown	PDF	N/A
Distributional Sliced-Wasserstein and Applications to Generative Modeling	Unknown	PDF	N/A
MoVie: Revisiting Modulated Convolutions for Visual Counting and Beyond	Unknown	PDF	N/A
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control	Unknown	PDF	N/A
Understanding the effects of data parallelism and sparsity on neural network training	Unknown	PDF	N/A
Planning from Pixels using Inverse Dynamics Models	Unknown	PDF	N/A
Benchmarks for Deep Off-Policy Evaluation	Unknown	PDF	N/A
Meta-Learning of Structured Task Distributions in Humans and Machines	Unknown	PDF	N/A
Growing Efficient Deep Networks by Structured Continuous Sparsification	Unknown	PDF	N/A
Training independent subnetworks for robust prediction	Unknown	PDF	N/A
Better Fine-Tuning by Reducing Representational Collapse	Unknown	PDF	N/A
Selective Classification Can Magnify Disparities Across Groups	Unknown	PDF	N/A
Zero-shot Synthesis with Group-Supervised Learning	Unknown	PDF	N/A
Learning Task-General Representations with Generative Neuro-Symbolic Modeling	Unknown	PDF	N/A
BERTology Meets Biology: Interpreting Attention in Protein Language Models	Unknown	PDF	N/A
Mathematical Reasoning via Self-supervised Skip-tree Training	Unknown	PDF	N/A
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly	Unknown	PDF	N/A
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization	Unknown	PDF	N/A
Economic Hyperparameter Optimization With Blended Search Strategy	Unknown	PDF	N/A
Average-case Acceleration for Bilinear Games and Normal Matrices	Unknown	PDF	N/A
Multi-Prize Lottery Ticket Hypothesis: Finding Accurate Binary Neural Networks by Pruning A Randomly Weighted Network	Unknown	PDF	N/A
IsarStep: a Benchmark for High-level Mathematical Reasoning	Unknown	PDF	N/A
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis	Unknown	PDF	N/A
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments	Unknown	PDF	N/A
Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning	Unknown	PDF	N/A
On the mapping between Hopfield networks and Restricted Boltzmann Machines	Unknown	PDF	N/A
Distance-Based Regularisation of Deep Networks for Fine-Tuning	Unknown	PDF	N/A
Ringing ReLUs: Harmonic Distortion Analysis of Nonlinear Feedforward Networks	Unknown	PDF	N/A
Generalization in data-driven models of primary visual cortex	Unknown	PDF	N/A
Efficient Continual Learning with Modular Networks and Task-Driven Priors	Unknown	PDF	N/A
Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time	Unknown	PDF	N/A
Activation-level uncertainty in deep neural networks	Unknown	PDF	N/A
On Statistical Bias In Active Learning: How and When to Fix It	Unknown	PDF	N/A
Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation	Unknown	PDF	N/A
Scaling the Convex Barrier with Active Sets	Unknown	PDF	N/A
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition	Unknown	PDF	N/A
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation	Unknown	PDF	N/A
Symmetry-Aware Actor-Critic for 3D Molecular Design	Unknown	PDF	N/A
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning	Unknown	PDF	N/A
Robust Overfitting may be mitigated by properly learned smoothening	Unknown	PDF	N/A
Characterizing signal propagation to close the performance gap in unnormalized ResNets	Unknown	PDF	N/A
Learning continuous-time PDEs from sparse data with graph neural networks	Unknown	PDF	N/A
Latent Skill Planning for Exploration and Transfer	Unknown	PDF	N/A
Uncertainty-aware Active Learning for Optimal Bayesian Classifier	Unknown	PDF	N/A
Self-supervised Adversarial Robustness for the Low-label, High-data Regime	Unknown	PDF	N/A
Single-Photon Image Classification	Unknown	PDF	N/A
Unsupervised Object Keypoint Learning using Local Spatial Predictability	Unknown	PDF	N/A
CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation	Unknown	PDF	N/A
Differentially Private Learning Needs Better Features (or Much More Data)	Unknown	PDF	N/A
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks	Unknown	PDF	N/A
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning	Unknown	PDF	N/A
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts	Unknown	PDF	N/A
Grounded Language Learning Fast and Slow	Unknown	PDF	N/A
Transformer protein language models are unsupervised structure learners	Unknown	PDF	N/A
Uncertainty Estimation in Autoregressive Structured Prediction	Unknown	PDF	N/A
Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units	Unknown	PDF	N/A
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	Unknown	PDF	N/A
CT-Net: Channel Tensorization Network for Video Classification	Unknown	PDF	N/A
On the Universality of Rotation Equivariant Point Cloud Networks	Unknown	PDF	N/A
Universal approximation power of deep residual neural networks via nonlinear control theory	Unknown	PDF	N/A
Learning a Latent Search Space for Routing Problems using Variational Autoencoders	Unknown	PDF	N/A
A teacher-student framework to distill future trajectories	Unknown	PDF	N/A
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings	Unknown	PDF	N/A
What they do when in doubt: a study of inductive biases in seq2seq learners	Unknown	PDF	N/A
Group Equivariant Generative Adversarial Networks	Unknown	PDF	N/A
Robust Curriculum Learning: from clean label detection to noisy label self-correction	Unknown	PDF	N/A
Support-set bottlenecks for video-text representation learning	Unknown	PDF	N/A
Graph Information Bottleneck for Subgraph Recognition	Unknown	PDF	N/A
Learning Deep Features in Instrumental Variable Regression	Unknown	PDF	N/A
Neural Synthesis of Binaural Speech From Mono Audio	Unknown	PDF	N/A
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning	Unknown	PDF	N/A
Differentiable Segmentation of Sequences	Unknown	PDF	N/A
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation	Unknown	PDF	N/A
Network Pruning That Matters: A Case Study on Retraining Variants	Unknown	PDF	N/A
Degree-Quant: Quantization-Aware Training for Graph Neural Networks	Unknown	PDF	N/A
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks	Unknown	PDF	N/A
Learning Associative Inference Using Fast Weight Memory	Unknown	PDF	N/A
SaliencyMix: A Saliency Guided Data Augmentation Strategy for Better Regularization	Unknown	PDF	N/A
Towards Robust Neural Networks via Close-loop Control	Unknown	PDF	N/A
Differentiable Trust Region Layers for Deep Reinforcement Learning	Unknown	PDF	N/A
Discovering Non-monotonic Autoregressive Orderings with Variational Inference	Unknown	PDF	N/A
Rethinking Positional Encoding in Language Pre-training	Unknown	PDF	N/A
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics	Unknown	PDF	N/A
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein	Unknown	PDF	N/A
DiffWave: A Versatile Diffusion Model for Audio Synthesis	Unknown	PDF	N/A
Calibration of Neural Networks using Splines	Unknown	PDF	N/A
Exploring Balanced Feature Spaces for Representation Learning	Unknown	PDF	N/A
Measuring Massive Multitask Language Understanding	Unknown	PDF	N/A
Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory	Unknown	PDF	N/A
Aligning AI With Shared Human Values	Unknown	PDF	N/A
Learning Manifold Patch-Based Representations of Man-Made Shapes	Unknown	PDF	N/A
Filtered Inner Product Projection for Crosslingual Embedding Alignment	Unknown	PDF	N/A
Correcting experience replay for multi-agent communication	Unknown	PDF	N/A
How Benign is Benign Overfitting ?	Unknown	PDF	N/A
High-Capacity Expert Binary Networks	Unknown	PDF	N/A
Structured Prediction as Translation between Augmented Natural Languages	Unknown	PDF	N/A
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online	Unknown	PDF	N/A
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting	Unknown	PDF	N/A
Incremental few-shot learning via vector quantization in deep embedded space	Unknown	PDF	N/A
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness	Unknown	PDF	N/A
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks	Unknown	PDF	N/A
MALI: A memory efficient and reverse accurate integrator for Neural ODEs	Unknown	PDF	N/A
FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning	Unknown	PDF	N/A
Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability	Unknown	PDF	N/A
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control	Unknown	PDF	N/A
Neural Learning of One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces	Unknown	PDF	N/A
Adaptive Universal Generalized PageRank Graph Neural Network	Unknown	PDF	N/A
Latent Convergent Cross Mapping	Unknown	PDF	N/A
Semantic Re-tuning with Contrastive Tension	Unknown	PDF	N/A
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers	Unknown	PDF	N/A
GANs Can Play Lottery Tickets Too	Unknown	PDF	N/A
Efficient Conformal Prediction via Cascaded Inference with Expanded Admission	Unknown	PDF	N/A
Disambiguating Symbolic Expressions in Informal Documents	Unknown	PDF	N/A
Lossless Compression of Structured Convolutional Models via Lifting	Unknown	PDF	N/A
Uncertainty in Gradient Boosting via Ensembles	Unknown	PDF	N/A
An Unsupervised Deep Learning Approach for Real-World Image Denoising	Unknown	PDF	N/A
Conformation-Guided Molecular Representation with Hamiltonian Neural Networks	Unknown	PDF	N/A
Neural ODE Processes	Unknown	PDF	N/A
Towards Robustness Against Natural Language Word Substitutions	Unknown	PDF	N/A
Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning	Unknown	PDF	N/A
Effective Distributed Learning with Random Features: Improved Bounds and Algorithms	Unknown	PDF	N/A
On Learning Universal Representations Across Languages	Unknown	PDF	N/A
Minimum Width for Universal Approximation	Unknown	PDF	N/A
Factorizing Declarative and Procedural Knowledge in Structured, Dynamical Environments	Unknown	PDF	N/A
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control	Unknown	PDF	N/A
Self-Supervised Learning of Compressed Video Representations	Unknown	PDF	N/A
Initialization and Regularization of Factorized Neural Layers	Unknown	PDF	N/A
Predicting Infectiousness for Proactive Contact Tracing	Unknown	PDF	N/A
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?	Unknown	PDF	N/A
Trusted Multi-View Classification	Unknown	PDF	N/A
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics	Unknown	PDF	N/A
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning	Unknown	PDF	N/A
Efficient Wasserstein Natural Gradients for Reinforcement Learning	Unknown	PDF	N/A
Robust Pruning at Initialization	Unknown	PDF	N/A
Parameter Efficient Multimodal Transformers for Video Representation Learning	Unknown	PDF	N/A
Active Contrastive Learning of Audio-Visual Video Representations	Unknown	PDF	N/A
Enforcing robust control guarantees within neural network policies	Unknown	PDF	N/A
Contrastive Divergence Learning is a Time Reversal Adversarial Game	Unknown	PDF	N/A
Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding	Unknown	PDF	N/A
Domain-Robust Visual Imitation Learning with Mutual Information Constraints	Unknown	PDF	N/A
Theoretical bounds on estimation error for meta-learning	Unknown	PDF	N/A
Towards Impartial Multi-task Learning	Unknown	PDF	N/A
Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data	Unknown	PDF	N/A
Counterfactual Generative Networks	Unknown	PDF	N/A
IOT: Instance-wise Layer Reordering for Transformer Structures	Unknown	PDF	N/A
A statistical theory of cold posteriors in deep neural networks	Unknown	PDF	N/A
The inductive bias of ReLU networks on orthogonally separable data	Unknown	PDF	N/A
A Unified Approach to Interpreting and Boosting Adversarial Transferability	Unknown	PDF	N/A
Contextual Transformation Networks for Online Continual Learning	Unknown	PDF	N/A
Private Image Reconstruction from System Side Channels Using Generative Models	Unknown	PDF	N/A
GAN "Steerability" without optimization	Unknown	PDF	N/A
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose?	Unknown	PDF	N/A
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents	Unknown	PDF	N/A
Do 2D GANs Know 3D Shape? Unsupervised 3D Shape Reconstruction from 2D Image GANs	Unknown	PDF	N/A
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights	Unknown	PDF	N/A
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures	Unknown	PDF	N/A
Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds	Unknown	PDF	N/A
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning	Unknown	PDF	N/A
Using latent space regression to analyze and leverage compositionality in GANs	Unknown	PDF	N/A
Shape-Texture Debiased Neural Network Training	Unknown	PDF	N/A
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study	Unknown	PDF	N/A
DC3: A learning method for optimization with hard constraints	Unknown	PDF	N/A
On the geometry of generalization and memorization in deep neural networks	Unknown	PDF	N/A
Exploring the Uncertainty Properties of Neural Networks’ Implicit Priors in the Infinite-Width Limit	Unknown	PDF	N/A
Usable Information and Evolution of Optimal Representations During Training	Unknown	PDF	N/A
Learning Invariant Representations for Reinforcement Learning without Reconstruction	Unknown	PDF	N/A
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning	Unknown	PDF	N/A
Zero-Cost Proxies for Lightweight NAS	Unknown	PDF	N/A
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models	Unknown	PDF	N/A
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples	Unknown	PDF	N/A
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation	Unknown	PDF	N/A
Noise or Signal: The Role of Image Backgrounds in Object Recognition	Unknown	PDF	N/A
Shapley explainability on the data manifold	Unknown	PDF	N/A
Improving Transformation Invariance in Contrastive Representation Learning	Unknown	PDF	N/A
Learning "What-if" Explanations for Sequential Decision-Making	Unknown	PDF	N/A
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention	Unknown	PDF	N/A
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking	Unknown	PDF	N/A
Graph Convolution with Low-rank Learnable Local Filters	Unknown	PDF	N/A
Meta-Learning with Neural Tangent Kernels	Unknown	PDF	N/A
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization	Unknown	PDF	N/A
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization	Unknown	PDF	N/A
Colorization Transformer	Unknown	PDF	N/A
Human-Level Performance in No-Press Diplomacy via Equilibrium Search	Unknown	PDF	N/A
Separation and Concentration in Deep Networks	Unknown	PDF	N/A
Training GANs with Stronger Augmentations via Contrastive Discriminator	Unknown	PDF	N/A
Locally Free Weight Sharing for Network Width Search	Unknown	PDF	N/A
Language-Agnostic Representation Learning of Source Code from Structure and Context	Unknown	PDF	N/A
Learning Mesh-Based Simulation with Graph Networks	Unknown	PDF	N/A
Set Prediction without Imposing Structure as Conditional Density Estimation	Unknown	PDF	N/A
Do not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning	Unknown	PDF	N/A
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search	Unknown	PDF	N/A
What are the Statistical Limits of Offline RL with Linear Function Approximation?	Unknown	PDF	N/A
Learning Accurate Entropy Model with Global Reference for Image Compression	Unknown	PDF	N/A
What Makes Instance Discrimination Good for Transfer Learning?	Unknown	PDF	N/A
Improving Adversarial Robustness via Channel-wise Activation Suppressing	Unknown	PDF	N/A
A unifying view on implicit bias in training linear neural networks	Unknown	PDF	N/A
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components	Unknown	PDF	N/A
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples	Unknown	PDF	N/A
Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate	Unknown	PDF	N/A
Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning	Unknown	PDF	N/A
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers	Unknown	PDF	N/A
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency	Unknown	PDF	N/A
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective	Unknown	PDF	N/A
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth	Unknown	PDF	N/A
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration	Unknown	PDF	N/A
UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers	Unknown	PDF	N/A
A Good Image Generator Is What You Need for High-Resolution Video Synthesis	Unknown	PDF	N/A
What Should Not Be Contrastive in Contrastive Learning	Unknown	PDF	N/A
A Design Space Study for LISTA and Beyond	Unknown	PDF	N/A
Rethinking Soft Labels for Knowledge Distillation: A Bias–Variance Tradeoff Perspective	Unknown	PDF	N/A
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval	Unknown	PDF	N/A
Hierarchical Reinforcement Learning by Discovering Intrinsic Options	Unknown	PDF	N/A
Denoising Diffusion Implicit Models	Unknown	PDF	N/A
Intraclass clustering: an implicit learning ability that regularizes DNNs	Unknown	PDF	N/A
Contrastive Learning with Hard Negative Samples	Unknown	PDF	N/A
Discrete Graph Structure Learning for Forecasting Multiple Time Series	Unknown	PDF	N/A
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs	Unknown	PDF	N/A
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration	Unknown	PDF	N/A
Data-Efficient Reinforcement Learning with Self-Predictive Representations	Unknown	PDF	N/A
A Distributional Approach to Controlled Text Generation	Unknown	PDF	N/A
A Block Minifloat Representation for Training Deep Neural Networks	Unknown	PDF	N/A
On the Impossibility of Global Convergence in Multi-Loss Optimization	Unknown	PDF	N/A
Self-supervised Representation Learning with Relative Predictive Coding	Unknown	PDF	N/A
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images	Unknown	PDF	N/A
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds	Unknown	PDF	N/A
Rethinking Architecture Selection in Differentiable NAS	Unknown	PDF	N/A
CaPC Learning: Confidential and Private Collaborative Learning	Unknown	PDF	N/A
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization	Unknown	PDF	N/A
Dataset Condensation with Gradient Matching	Unknown	PDF	N/A
PMI-Masking: Principled masking of correlated spans	Unknown	PDF	N/A
Sharpness-aware Minimization for Efficiently Improving Generalization	Unknown	PDF	N/A
Learning with AMIGo: Adversarially Motivated Intrinsic Goals	Unknown	PDF	N/A
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning	Unknown	PDF	N/A
End-to-end Adversarial Text-to-Speech	Unknown	PDF	N/A
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness	Unknown	PDF	N/A
not-MIWAE: Deep Generative Modelling with Missing not at Random Data	Unknown	PDF	N/A
Distilling Knowledge from Reader to Retriever for Question Answering	Unknown	PDF	N/A
Adaptive Extra-Gradient Methods for Min-Max Optimization and Games	Unknown	PDF	N/A
Training with Quantization Noise for Extreme Model Compression	Unknown	PDF	N/A
The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods	Unknown	PDF	N/A
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning	Unknown	PDF	N/A
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations	Unknown	PDF	N/A
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks	Unknown	PDF	N/A
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity	Unknown	PDF	N/A
Conditional Generative Modeling via Learning the Latent Space	Unknown	PDF	N/A
When Optimizing $f$-Divergence is Robust with Label Noise	Unknown	PDF	N/A
Contrastive Learning with Adversarial Perturbations for Conditional Text Generation	Unknown	PDF	N/A
Self-Supervised Policy Adaptation during Deployment	Unknown	PDF	N/A
Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks	Unknown	PDF	N/A
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks	Unknown	PDF	N/A
Geometry-aware Instance-reweighted Adversarial Training	Unknown	PDF	N/A
Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL	Unknown	PDF	N/A
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach	Unknown	PDF	N/A
Bag of Tricks for Adversarial Training	Unknown	PDF	N/A
DynaTune: Dynamic Tensor Program Optimization in Deep Neural Network Compilation	Unknown	PDF	N/A
The Risks of Invariant Risk Minimization	Unknown	PDF	N/A
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients	Unknown	PDF	N/A
Generative Time-series Modeling with Fourier Flows	Unknown	PDF	N/A
Individually Fair Gradient Boosting	Unknown	PDF	N/A
Federated Learning Based on Dynamic Regularization	Unknown	PDF	N/A
Contemplating Real-World Object Classification	Unknown	PDF	N/A
When Do Curricula Work?	Unknown	PDF	N/A
Learning Neural Event Functions for Ordinary Differential Equations	Unknown	PDF	N/A
Mastering Atari with Discrete World Models	Unknown	PDF	N/A
Getting a CLUE: A Method for Explaining Uncertainty Estimates	Unknown	PDF	N/A
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy	Unknown	PDF	N/A
DeLighT: Deep and Light-weight Transformer	Unknown	PDF	N/A
Domain Generalization with MixStyle	Unknown	PDF	N/A
Concept Learners for Few-Shot Learning	Unknown	PDF	N/A
Creative Sketch Generation	Unknown	PDF	N/A
Rethinking Embedding Coupling in Pre-trained Language Models	Unknown	PDF	N/A
How Does Mixup Help With Robustness and Generalization?	Unknown	PDF	N/A
Lifelong Learning of Compositional Structures	Unknown	PDF	N/A
Debiasing Concept-based Explanations with Causal Analysis	Unknown	PDF	N/A
Learning to Represent Action Values as a Hypergraph on the Action Vertices	Unknown	PDF	N/A
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks	Unknown	PDF	N/A
Rethinking Attention with Performers	Unknown	PDF	N/A
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods	Unknown	PDF	N/A
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator	Unknown	PDF	N/A
Mutual Information State Intrinsic Control	Unknown	PDF	N/A
Learning explanations that are hard to vary	Unknown	PDF	N/A
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System	Unknown	PDF	N/A
Physics-aware, probabilistic model order reduction with guaranteed stability	Unknown	PDF	N/A
RODE: Learning Roles to Decompose Multi-Agent Tasks	Unknown	PDF	N/A
Neural gradients are near-lognormal: improved quantized and sparse training	Unknown	PDF	N/A
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics	Unknown	PDF	N/A
Property Controllable Variational Autoencoder via Invertible Mutual Dependence	Unknown	PDF	N/A
Neural Thompson Sampling	Unknown	PDF	N/A
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization	Unknown	PDF	N/A
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization	Unknown	PDF	N/A
Effective and Efficient Vote Attack on Capsule Networks	Unknown	PDF	N/A
Information Laundering for Model Privacy	Unknown	PDF	N/A
Isometric Propagation Network for Generalized Zero-shot Learning	Unknown	PDF	N/A
Learning with Feature-Dependent Label Noise: A Progressive Approach	Unknown	PDF	N/A
SEED: Self-supervised Distillation For Visual Representation	Unknown	PDF	N/A
Unsupervised Audiovisual Synthesis via Exemplar Autoencoders	Unknown	PDF	N/A
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling	Unknown	PDF	N/A
DDPNOpt: Differential Dynamic Programming Neural Optimizer	Unknown	PDF	N/A
Mirostat: A Neural Text Decoding Algorithm That Directly Controls Perplexity	Unknown	PDF	N/A
Contextual Dropout: An Efficient Sample-Dependent Dropout Module	Unknown	PDF	N/A
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry	Unknown	PDF	N/A
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters	Unknown	PDF	N/A
Large Associative Memory Problem in Neurobiology and Machine Learning	Unknown	PDF	N/A
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation	Unknown	PDF	N/A
On the Dynamics of Training Attention Models	Unknown	PDF	N/A
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving	Unknown	PDF	N/A
A Critique of Self-Expressive Deep Subspace Clustering	Unknown	PDF	N/A
Learning to Recombine and Resample Data For Compositional Generalization	Unknown	PDF	N/A
Learning Generalizable Visual Representations via Interactive Gameplay	Unknown	PDF	N/A
Overparameterisation and worst-case generalisation: friend or foe?	Unknown	PDF	N/A
Calibration tests beyond classification	Unknown	PDF	N/A
On the Transfer of Disentangled Representations in Realistic Settings	Unknown	PDF	N/A
Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS	Unknown	PDF	N/A
Revisiting Few-sample BERT Fine-tuning	Unknown	PDF	N/A
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning	Unknown	PDF	N/A
SSD: A Unified Framework for Self-Supervised Outlier Detection	Unknown	PDF	N/A
Long-tail learning via logit adjustment	Unknown	PDF	N/A
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval	Unknown	PDF	N/A
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments	Unknown	PDF	N/A
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms	Unknown	PDF	N/A
Understanding the role of importance weighting for deep learning	Unknown	PDF	N/A
LEAF: A Learnable Frontend for Audio Classification	Unknown	PDF	N/A
Monotonic Kronecker-Factored Lattice	Unknown	PDF	N/A
Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data	Unknown	PDF	N/A
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics	Unknown	PDF	N/A
Wasserstein-2 Generative Networks	Unknown	PDF	N/A
Emergent Road Rules In Multi-Agent Driving Environments	Unknown	PDF	N/A
Iterative Empirical Game Solving via Single Policy Best Response	Unknown	PDF	N/A
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes	Unknown	PDF	N/A
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule	Unknown	PDF	N/A
Understanding the failure modes of out-of-distribution generalization	Unknown	PDF	N/A
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs	Unknown	PDF	N/A
Hopfield Networks is All You Need	Unknown	PDF	N/A
The Importance of Pessimism in Fixed-Dataset Policy Optimization	Unknown	PDF	N/A
Representation Balancing Offline Model-based Reinforcement Learning	Unknown	PDF	N/A
FairBatch: Batch Selection for Model Fairness	Unknown	PDF	N/A
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks	Unknown	PDF	N/A
Systematic generalisation with group invariant predictions	Unknown	PDF	N/A
Efficient Inference of Flexible Interaction in Spiking-neuron Networks	Unknown	PDF	N/A
Graph Coarsening with Neural Networks	Unknown	PDF	N/A
Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks	Unknown	PDF	N/A
Are wider nets better given the same number of parameters?	Unknown	PDF	N/A
Autoregressive Entity Retrieval	Unknown	PDF	N/A
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators	Unknown	PDF	N/A
Adversarially Guided Actor-Critic	Unknown	PDF	N/A
Balancing Constraints and Rewards with Meta-Gradient D4PG	Unknown	PDF	N/A
Auxiliary Learning by Implicit Differentiation	Unknown	PDF	N/A
Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent	Unknown	PDF	N/A
Large-width functional asymptotics for deep Gaussian neural networks	Unknown	PDF	N/A
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach	Unknown	PDF	N/A
Free Lunch for Few-shot Learning: Distribution Calibration	Unknown	PDF	N/A
Generalized Multimodal ELBO	Unknown	PDF	N/A
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits	Unknown	PDF	N/A
Convex Regularization behind Neural Reconstruction	Unknown	PDF	N/A
Efficient Certified Defenses Against Patch Attacks on Image Classifiers	Unknown	PDF	N/A
Learning Neural Generative Dynamics for Molecular Conformation Generation	Unknown	PDF	N/A
Individually Fair Rankings	Unknown	PDF	N/A
Hierarchical Autoregressive Modeling for Neural Video Compression	Unknown	PDF	N/A
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary	Unknown	PDF	N/A
How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?	Unknown	PDF	N/A
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima	Unknown	PDF	N/A
Evaluation of Similarity-based Explanations	Unknown	PDF	N/A
Geometry-Aware Gradient Algorithms for Neural Architecture Search	Unknown	PDF	N/A
Open Question Answering over Tables and Text	Unknown	PDF	N/A
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods	Unknown	PDF	N/A
VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models	Unknown	PDF	N/A
Self-supervised Learning from a Multi-view Perspective	Unknown	PDF	N/A
Fair Mixup: Fairness via Interpolation	Unknown	PDF	N/A
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models	Unknown	PDF	N/A
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning	Unknown	PDF	N/A
Removing Undesirable Feature Contributions Using Out-of-Distribution Data	Unknown	PDF	N/A
Meta-learning Symmetries by Reparameterization	Unknown	PDF	N/A
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision	Unknown	PDF	N/A
For self-supervised learning, Rationality implies generalization, provably	Unknown	PDF	N/A
A Temporal Kernel Approach for Deep Learning with Continuous-time Information	Unknown	PDF	N/A
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors	Unknown	PDF	N/A
Conservative Safety Critics for Exploration	Unknown	PDF	N/A
Model-Based Visual Planning with Self-Supervised Functional Distances	Unknown	PDF	N/A
GraphCodeBERT: Pre-training Code Representations with Data Flow	Unknown	PDF	N/A
No MCMC for me: Amortized sampling for fast and stable training of energy-based models	Unknown	PDF	N/A
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction	Unknown	PDF	N/A
Predicting Classification Accuracy When Adding New Unobserved Classes	Unknown	PDF	N/A
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors	Unknown	PDF	N/A
Learning the Pareto Front with Hypernetworks	Unknown	PDF	N/A
Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime	Unknown	PDF	N/A
Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows	Unknown	PDF	N/A
MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space	Unknown	PDF	N/A
Impact of Representation Learning in Linear Bandits	Unknown	PDF	N/A
EEC: Learning to Encode and Regenerate Images for Continual Learning	Unknown	PDF	N/A
What Can You Learn From Your Muscles? Learning Visual Representation from Human Interactions	Unknown	PDF	N/A
Improving VAEs' Robustness to Adversarial Attack	Unknown	PDF	N/A
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers	Unknown	PDF	N/A
Control-Aware Representations for Model-based Reinforcement Learning	Unknown	PDF	N/A
Scaling Symbolic Methods using Gradients for Neural Model Explanation	Unknown	PDF	N/A
Empirical or Invariant Risk Minimization? A Sample Complexity Perspective	Unknown	PDF	N/A
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning	Unknown	PDF	N/A
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients	Unknown	PDF	N/A
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability	Unknown	PDF	N/A
The geometry of integration in text classification RNNs	Unknown	PDF	N/A
On the Bottleneck of Graph Neural Networks and its Practical Implications	Unknown	PDF	N/A
Learning to Reach Goals via Iterated Supervised Learning	Unknown	PDF	N/A
On the Critical Role of Conventions in Adaptive Human-AI Collaboration	Unknown	PDF	N/A
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks	Unknown	PDF	N/A
Discovering a set of policies for the worst case reward	Unknown	PDF	N/A
Learning perturbation sets for robust machine learning	Unknown	PDF	N/A
Primal Wasserstein Imitation Learning	Unknown	PDF	N/A
A Universal Representation Transformer Layer for Few-Shot Image Classification	Unknown	PDF	N/A
MoPro: Webly Supervised Learning with Momentum Prototypes	Unknown	PDF	N/A
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU	Unknown	PDF	N/A
Optimism in Reinforcement Learning with Generalized Linear Function Approximation	Unknown	PDF	N/A
Deberta: Decoding-Enhanced Bert With Disentangled Attention	Unknown	PDF	N/A
Variational Information Bottleneck for Effective Low-Resource Fine-Tuning	Unknown	PDF	N/A
Expressive Power of Invariant and Equivariant Graph Neural Networks	Unknown	PDF	N/A
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines	Unknown	PDF	N/A
Computational Separation Between Convolutional and Fully-Connected Networks	Unknown	PDF	N/A
Probabilistic Numeric Convolutional Neural Networks	Unknown	PDF	N/A
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders	Unknown	PDF	N/A
Coping with Label Shift via Distributionally Robust Optimisation	Unknown	PDF	N/A
MixKD: Towards Efficient Distillation of Large-scale Language Models	Unknown	PDF	N/A
Learning a Latent Simplex in Input Sparsity Time	Unknown	PDF	N/A
Teaching with Commentaries	Unknown	PDF	N/A
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding	Unknown	PDF	N/A
Fantastic Four: Differentiable and Efficient Bounds on Singular Values of Convolution Layers	Unknown	PDF	N/A
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data	Unknown	PDF	N/A
Negative Data Augmentation	Unknown	PDF	N/A
Scalable Transfer Learning with Expert Models	Unknown	PDF	N/A
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels	Unknown	PDF	N/A
Learning A Minimax Optimizer: A Pilot Study	Unknown	PDF	N/A
Meta Back-Translation	Unknown	PDF	N/A
Optimal Regularization can Mitigate Double Descent	Unknown	PDF	N/A
Net-DNF: Effective Deep Modeling of Tabular Data	Unknown	PDF	N/A
MultiModalQA: complex question answering over text, tables and images	Unknown	PDF	N/A
Dynamic Tensor Rematerialization	Unknown	PDF	N/A
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models	Unknown	PDF	N/A
Few-Shot Learning via Learning the Representation, Provably	Unknown	PDF	N/A
Wandering within a world: Online contextualized few-shot learning	Unknown	PDF	N/A
WrapNet: Neural Net Inference with Ultra-Low-Precision Arithmetic	Unknown	PDF	N/A
Nearest Neighbor Machine Translation	Unknown	PDF	N/A
Knowledge distillation via softmax regression representation learning	Unknown	PDF	N/A
Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition	Unknown	PDF	N/A
Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design	Unknown	PDF	N/A
Neural Pruning via Growing Regularization	Unknown	PDF	N/A
Mixed-Features Vectors and Subspace Splitting	Unknown	PDF	N/A
Graph-Based Continual Learning	Unknown	PDF	N/A
Sparse Quantized Spectral Clustering	Unknown	PDF	N/A
Taking Notes on the Fly Helps Language Pre-Training	Unknown	PDF	N/A
Explainable Deep One-Class Classification	Unknown	PDF	N/A
Revisiting Dynamic Convolution via Matrix Decomposition	Unknown	PDF	N/A
BiPointNet: Binary Neural Network for Point Clouds	Unknown	PDF	N/A
Prediction and generalisation over directed actions by grid cells	Unknown	PDF	N/A
Continual learning in recurrent neural networks	Unknown	PDF	N/A
Neural networks with late-phase weights	Unknown	PDF	N/A
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization	Unknown	PDF	N/A
HyperGrid Transformers: Towards A Single Model for Multiple Tasks	Unknown	PDF	N/A
Learning Robust State Abstractions for Hidden-Parameter Block MDPs	Unknown	PDF	N/A
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning	Unknown	PDF	N/A
Viewmaker Networks: Learning Views for Unsupervised Representation Learning	Unknown	PDF	N/A
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning	Unknown	PDF	N/A
Is Attention Better Than Matrix Decomposition?	Unknown	PDF	N/A
Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize	Unknown	PDF	N/A
Refining Deep Generative Models via Discriminator Gradient Flow	Unknown	PDF	N/A
Entropic gradient descent algorithms and wide flat minima	Unknown	PDF	N/A
New Bounds For Distributed Mean Estimation and Variance Reduction	Unknown	PDF	N/A
Learning Value Functions in Deep Policy Gradients using Residual Variance	Unknown	PDF	N/A
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic	Unknown	PDF	N/A
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks	Unknown	PDF	N/A
Parameter-Based Value Functions	Unknown	PDF	N/A
CoCon: A Self-Supervised Approach for Controlled Text Generation	Unknown	PDF	N/A
MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning	Unknown	PDF	N/A
Beyond Categorical Label Representations for Image Classification	Unknown	PDF	N/A
Meta-learning with negative learning rates	Unknown	PDF	N/A
Provable Rich Observation Reinforcement Learning with Combinatorial Latent States	Unknown	PDF	N/A
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime	Unknown	PDF	N/A
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF	Unknown	PDF	N/A
Contrastive Syn-to-Real Generalization	Unknown	PDF	N/A
Evolving Reinforcement Learning Algorithms	Unknown	PDF	N/A
Neural Topic Model via Optimal Transport	Unknown	PDF	N/A
Class Normalization for (Continual)? Generalized Zero-Shot Learning	Unknown	PDF	N/A
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction	Unknown	PDF	N/A
A Gradient Flow Framework For Analyzing Network Pruning	Unknown	PDF	N/A
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks	Unknown	PDF	N/A
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes	Unknown	PDF	N/A
Knowledge Distillation as Semiparametric Inference	Unknown	PDF	N/A
NBDT: Neural-Backed Decision Tree	Unknown	PDF	N/A
Deep Equals Shallow for ReLU Networks in Kernel Regimes	Unknown	PDF	N/A
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling	Unknown	PDF	N/A
MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering	Unknown	PDF	N/A
Mind the Pad -- CNNs Can Develop Blind Spots	Unknown	PDF	N/A
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks	Unknown	PDF	N/A
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs	Unknown	PDF	N/A
Interpretable Models for Granger Causality Using Self-explaining Neural Networks	Unknown	PDF	N/A
Estimating Lipschitz constants of monotone deep equilibrium models	Unknown	PDF	N/A
Probing BERT in Hyperbolic Spaces	Unknown	PDF	N/A
Batch Reinforcement Learning Through Continuation Method	Unknown	PDF	N/A
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning	Unknown	PDF	N/A
Diverse Video Generation using a Gaussian Process Trigger	Unknown	PDF	N/A
Learning and Evaluating Representations for Deep One-Class Classification	Unknown	PDF	N/A
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers	Unknown	PDF	N/A
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN	Unknown	PDF	N/A
Randomized Automatic Differentiation	Unknown	PDF	N/A
Generalized Energy Based Models	Unknown	PDF	N/A
Temporally-Extended ε-Greedy Exploration	Unknown	PDF	N/A
Multiplicative Filter Networks	Unknown	PDF	N/A
Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation	Unknown	PDF	N/A
FedMix: Approximation of Mixup under Mean Augmented Federated Learning	Unknown	PDF	N/A
Self-training For Few-shot Transfer Across Extreme Task Differences	Unknown	PDF	N/A
VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments	Unknown	PDF	N/A
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks	Unknown	PDF	N/A
Generalization bounds via distillation	Unknown	PDF	N/A
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation	Unknown	PDF	N/A
A Learning Theoretic Perspective on Local Explainability	Unknown	PDF	N/A
Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions	Unknown	PDF	N/A
Learning to Set Waypoints for Audio-Visual Navigation	Unknown	PDF	N/A
Partitioned Learned Bloom Filters	Unknown	PDF	N/A
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models	Unknown	PDF	N/A
Generalized Variational Continual Learning	Unknown	PDF	N/A
Robust and Generalizable Visual Representation Learning via Random Convolutions	Unknown	PDF	N/A
One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks	Unknown	PDF	N/A
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback	Unknown	PDF	N/A
Attentional Constellation Nets for Few-Shot Learning	Unknown	PDF	N/A
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective	Unknown	PDF	N/A
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech	Unknown	PDF	N/A
Risk-Averse Offline Reinforcement Learning	Unknown	PDF	N/A
Spatio-Temporal Graph Scattering Transform	Unknown	PDF	N/A
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks	Unknown	PDF	N/A
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors	Unknown	PDF	N/A
Communication in Multi-Agent Reinforcement Learning: Intention Sharing	Unknown	PDF	N/A
Few-Shot Bayesian Optimization with Deep Kernel Surrogates	Unknown	PDF	N/A
Disentangled Recurrent Wasserstein Autoencoder	Unknown	PDF	N/A
In Search of Lost Domain Generalization	Unknown	PDF	N/A
Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization	Unknown	PDF	N/A
Implicit Normalizing Flows	Unknown	PDF	N/A
VTNet: Visual Transformer Network for Object Goal Navigation	Unknown	PDF	N/A
Learning Task Decomposition with Ordered Memory Policy Network	Unknown	PDF	N/A
Deep Networks and the Multiple Manifold Problem	Unknown	PDF	N/A
Learning What To Do by Simulating the Past	Unknown	PDF	N/A
Progressive Skeletonization: Trimming more fat from a network at initialization	Unknown	PDF	N/A
$i$-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning	Unknown	PDF	N/A
Topology-Aware Segmentation Using Discrete Morse Theory	Unknown	PDF	N/A
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections	Unknown	PDF	N/A
Tent: Fully Test-Time Adaptation by Entropy Minimization	Unknown	PDF	N/A
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding	Unknown	PDF	N/A
Dataset Inference: Ownership Resolution in Machine Learning	Unknown	PDF	N/A
Regularized Inverse Reinforcement Learning	Unknown	PDF	N/A
Fast And Slow Learning Of Recurrent Independent Mechanisms	Unknown	PDF	N/A
Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates	Unknown	PDF	N/A
Semi-supervised Keypoint Localization	Unknown	PDF	N/A
Representing Partial Programs with Blended Abstract Semantics	Unknown	PDF	N/A
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech	Unknown	PDF	N/A
Unlearnable Examples: Making Personal Data Unexploitable	Unknown	PDF	N/A
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression	Unknown	PDF	N/A
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization	Unknown	PDF	N/A
Identifying Physical Law of Hamiltonian Systems via Meta-Learning	Unknown	PDF	N/A
Text Generation by Learning from Demonstrations	Unknown	PDF	N/A
Unbiased Teacher for Semi-Supervised Object Detection	Unknown	PDF	N/A
Estimating informativeness of samples with Smooth Unique Information	Unknown	PDF	N/A
Efficient Generalized Spherical CNNs	Unknown	PDF	N/A
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues	Unknown	PDF	N/A
Global Convergence of Three-layer Neural Networks in the Mean Field Regime	Unknown	PDF	N/A
Multi-Time Attention Networks for Irregularly Sampled Time Series	Unknown	PDF	N/A
Linear Convergent Decentralized Optimization with Compression	Unknown	PDF	N/A
Adaptive Federated Optimization	Unknown	PDF	N/A
Auction Learning as a Two-Player Game	Unknown	PDF	N/A
Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective	Unknown	PDF	N/A
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization	Unknown	PDF	N/A
Interpreting Knowledge Graph Relation Representation from Word Embeddings	Unknown	PDF	N/A
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction	Unknown	PDF	N/A
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation	Unknown	PDF	N/A
Learning-based Support Estimation in Sublinear Time	Unknown	PDF	N/A
Integrating Categorical Semantics into Unsupervised Domain Translation	Unknown	PDF	N/A
The Recurrent Neural Tangent Kernel	Unknown	PDF	N/A
C-Learning: Learning to Achieve Goals via Recursive Classification	Unknown	PDF	N/A
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning	Unknown	PDF	N/A
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study	Unknown	PDF	N/A
Influence Estimation for Generative Adversarial Networks	Unknown	PDF	N/A
Clairvoyance: A Pipeline Toolkit for Medical Time Series	Unknown	PDF	N/A
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model	Unknown	PDF	N/A
Learning advanced mathematical computations from examples	Unknown	PDF	N/A
Noise against noise: stochastic label noise helps combat inherent label noise	Unknown	PDF	N/A
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning	Unknown	PDF	N/A
Protecting DNNs from Theft using an Ensemble of Diverse Models	Unknown	PDF	N/A
You Only Need Adversarial Supervision for Semantic Image Synthesis	Unknown	PDF	N/A
Neural Spatio-Temporal Point Processes	Unknown	PDF	N/A
Linear Mode Connectivity in Multitask and Continual Learning	Unknown	PDF	N/A
Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders	Unknown	PDF	N/A
Auxiliary Task Update Decomposition: The Good, the Bad and the Neutral	Unknown	PDF	N/A
Influence Functions in Deep Learning Are Fragile	Unknown	PDF	N/A
Categorical Normalizing Flows via Continuous Transformations	Unknown	PDF	N/A
Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation	Unknown	PDF	N/A
Directed Acyclic Graph Neural Networks	Unknown	PDF	N/A
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models	Unknown	PDF	N/A
SOLAR: Sparse Orthogonal Learned and Random Embeddings	Unknown	PDF	N/A
Bayesian Context Aggregation for Neural Processes	Unknown	PDF	N/A
Cut out the annotator, keep the cutout: better segmentation with weak supervision	Unknown	PDF	N/A
Effective Abstract Reasoning with Dual-Contrast Network	Unknown	PDF	N/A
Personalized Federated Learning with First Order Model Optimization	Unknown	PDF	N/A
Task-Agnostic Morphology Evolution	Unknown	PDF	N/A
Learning Parametrised Graph Shift Operators	Unknown	PDF	N/A
Online Adversarial Purification based on Self-supervised Learning	Unknown	PDF	N/A

ICLR 2022

Title	Author	PDF_Link	Code_URL
Distributionally Robust Fair Principal Components via Geodesic Descents	Unknown	PDF	N/A
Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder	Unknown	PDF	N/A
The Efficiency Misnomer	Unknown	PDF	N/A
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks	Unknown	PDF	N/A
Huber Additive Models for Non-stationary Time Series Analysis	Unknown	PDF	N/A
Rethinking Supervised Pre-Training for Better Downstream Transferring	Unknown	PDF	N/A
Optimization inspired Multi-Branch Equilibrium Models	Unknown	PDF	N/A
Know Your Action Set: Learning Action Relations for Reinforcement Learning	Unknown	PDF	N/A
On the Importance of Difficulty Calibration in Membership Inference Attacks	Unknown	PDF	N/A
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset	Unknown	PDF	N/A
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning	Unknown	PDF	N/A
Enabling Arbitrary Translation Objectives with Adaptive Tree Search	Unknown	PDF	N/A
Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics	Unknown	PDF	N/A
Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models	Unknown	PDF	N/A
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation	Unknown	PDF	N/A
Is Importance Weighting Incompatible with Interpolating Classifiers?	Unknown	PDF	N/A
DIVA: Dataset Derivative of a Learning Task	Unknown	PDF	N/A
Path Integral Sampler: A Stochastic Control Approach For Sampling	Unknown	PDF	N/A
Feature Kernel Distillation	Unknown	PDF	N/A
Representation Learning for Online and Offline RL in Low-rank MDPs	Unknown	PDF	N/A
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs	Unknown	PDF	N/A
Strength of Minibatch Noise in SGD	Unknown	PDF	N/A
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels	Unknown	PDF	N/A
Online Facility Location with Predictions	Unknown	PDF	N/A
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize	Unknown	PDF	N/A
Contrastive Fine-grained Class Clustering via Generative Adversarial Networks	Unknown	PDF	N/A
TAMP-S2GCNets: Coupling Time-Aware Multipersistence Knowledge Representation with Spatio-Supra Graph Convolutional Networks for Time-Series Forecasting	Unknown	PDF	N/A
D-CODE: Discovering Closed-form ODEs from Observed Trajectories	Unknown	PDF	N/A
Declarative nets that are equilibrium models	Unknown	PDF	N/A
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks	Unknown	PDF	N/A
DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR	Unknown	PDF	N/A
Graph-Relational Domain Adaptation	Unknown	PDF	N/A
On the approximation properties of recurrent encoder-decoder architectures	Unknown	PDF	N/A
Learning Object-Oriented Dynamics for Planning from Text	Unknown	PDF	N/A
Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation	Unknown	PDF	N/A
The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions	Unknown	PDF	N/A
AlphaZero-based Proof Cost Network to Aid Game Solving	Unknown	PDF	N/A
Open-World Semi-Supervised Learning	Unknown	PDF	N/A
A generalization of the randomized singular value decomposition	Unknown	PDF	N/A
Learning Graphon Mean Field Games and Approximate Nash Equilibria	Unknown	PDF	N/A
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles	Unknown	PDF	N/A
Multitask Prompted Training Enables Zero-Shot Task Generalization	Unknown	PDF	N/A
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning	Unknown	PDF	N/A
On the benefits of maximum likelihood estimation for Regression and Forecasting	Unknown	PDF	N/A
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods	Unknown	PDF	N/A
Universalizing Weak Supervision	Unknown	PDF	N/A
Uncertainty Modeling for Out-of-Distribution Generalization	Unknown	PDF	N/A
Generalization of Neural Combinatorial Solvers Through the Lens of Adversarial Robustness	Unknown	PDF	N/A
Neural Link Prediction with Walk Pooling	Unknown	PDF	N/A
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning	Unknown	PDF	N/A
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?	Unknown	PDF	N/A
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models	Unknown	PDF	N/A
Crystal Diffusion Variational Autoencoder for Periodic Material Generation	Unknown	PDF	N/A
High Probability Generalization Bounds with Fast Rates for Minimax Problems	Unknown	PDF	N/A
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking	Unknown	PDF	N/A
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations	Unknown	PDF	N/A
Multimeasurement Generative Models	Unknown	PDF	N/A
Generalized Natural Gradient Flows in Hidden Convex-Concave Games and GANs	Unknown	PDF	N/A
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models	Unknown	PDF	N/A
switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder	Unknown	PDF	N/A
MAML is a Noisy Contrastive Learner in Classification	Unknown	PDF	N/A
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion	Unknown	PDF	N/A
Implicit Bias of Adversarial Training for Deep Neural Networks	Unknown	PDF	N/A
Partial Wasserstein Adversarial Network for Non-rigid Point Set Registration	Unknown	PDF	N/A
POETREE: Interpretable Policy Learning with Adaptive Decision Trees	Unknown	PDF	N/A
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs	Unknown	PDF	N/A
Online Ad Hoc Teamwork under Partial Observability	Unknown	PDF	N/A
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games	Unknown	PDF	N/A
Neural Networks as Kernel Learners: The Silent Alignment Effect	Unknown	PDF	N/A
A Fine-Grained Analysis on Distribution Shift	Unknown	PDF	N/A
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design	Unknown	PDF	N/A
Towards Evaluating the Robustness of Neural Networks Learned by Transduction	Unknown	PDF	N/A
GradSign: Model Performance Inference with Theoretical Insights	Unknown	PDF	N/A
Consistent Counterfactuals for Deep Models	Unknown	PDF	N/A
The Three Stages of Learning Dynamics in High-dimensional Kernel Methods	Unknown	PDF	N/A
Real-Time Neural Voice Camouflage	Unknown	PDF	N/A
Sample Efficient Stochastic Policy Extragradient Algorithm for Zero-Sum Markov Game	Unknown	PDF	N/A
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100	Unknown	PDF	N/A
The Effects of Invertibility on the Representational Complexity of Encoders in Variational Autoencoders	Unknown	PDF	N/A
Extending the WILDS Benchmark for Unsupervised Adaptation	Unknown	PDF	N/A
Efficiently Modeling Long Sequences with Structured State Spaces	Unknown	PDF	N/A
Unified Visual Transformer Compression	Unknown	PDF	N/A
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy	Unknown	PDF	N/A
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting	Unknown	PDF	N/A
A Theory of Tournament Representations	Unknown	PDF	N/A
Mapping conditional distributions for domain adaptation under generalized target shift	Unknown	PDF	N/A
NeuPL: Neural Population Learning	Unknown	PDF	N/A
An Operator Theoretic View On Pruning Deep Neural Networks	Unknown	PDF	N/A
MetaMorph: Learning Universal Controllers with Transformers	Unknown	PDF	N/A
PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method	Unknown	PDF	N/A
Modular Lifelong Reinforcement Learning via Neural Composition	Unknown	PDF	N/A
TPU-GAN: Learning temporal coherence from dynamic point cloud sequences	Unknown	PDF	N/A
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks	Unknown	PDF	N/A
Missingness Bias in Model Debugging	Unknown	PDF	N/A
Accelerated Policy Learning with Parallel Differentiable Simulation	Unknown	PDF	N/A
Causal Contextual Bandits with Targeted Interventions	Unknown	PDF	N/A
Learning Altruistic Behaviours in Reinforcement Learning without External Rewards	Unknown	PDF	N/A
FILIP: Fine-grained Interactive Language-Image Pre-Training	Unknown	PDF	N/A
Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation	Unknown	PDF	N/A
The Convex Geometry of Backpropagation: Neural Network Gradient Flows Converge to Extreme Points of the Dual Convex Program	Unknown	PDF	N/A
Variational oracle guiding for reinforcement learning	Unknown	PDF	N/A
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts	Unknown	PDF	N/A
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization	Unknown	PDF	N/A
Cross-Lingual Transfer with Class-Weighted Language-Invariant Representations	Unknown	PDF	N/A
Reverse Engineering of Imperceptible Adversarial Image Perturbations	Unknown	PDF	N/A
Pareto Policy Adaptation	Unknown	PDF	N/A
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias	Unknown	PDF	N/A
Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design	Unknown	PDF	N/A
C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks	Unknown	PDF	N/A
Understanding Domain Randomization for Sim-to-real Transfer	Unknown	PDF	N/A
Model-Based Offline Meta-Reinforcement Learning with Regularization	Unknown	PDF	N/A
Analyzing and Improving the Optimization Landscape of Noise-Contrastive Estimation	Unknown	PDF	N/A
Hybrid Memoised Wake-Sleep: Approximate Inference at the Discrete-Continuous Interface	Unknown	PDF	N/A
TRGP: Trust Region Gradient Projection for Continual Learning	Unknown	PDF	N/A
Contextualized Scene Imagination for Generative Commonsense Reasoning	Unknown	PDF	N/A
Shallow and Deep Networks are Near-Optimal Approximators of Korobov Functions	Unknown	PDF	N/A
Phenomenology of Double Descent in Finite-Width Neural Networks	Unknown	PDF	N/A
InfinityGAN: Towards Infinite-Pixel Image Synthesis	Unknown	PDF	N/A
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning	Unknown	PDF	N/A
COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks	Unknown	PDF	N/A
How Much Can CLIP Benefit Vision-and-Language Tasks?	Unknown	PDF	N/A
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting	Unknown	PDF	N/A
Learning Optimal Conformal Classifiers	Unknown	PDF	N/A
Self-Supervision Enhanced Feature Selection with Correlated Gates	Unknown	PDF	N/A
Understanding the Variance Collapse of SVGD in High Dimensions	Unknown	PDF	N/A
Information Bottleneck: Exact Analysis of (Quantized) Neural Networks	Unknown	PDF	N/A
CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting	Unknown	PDF	N/A
OBJECT DYNAMICS DISTILLATION FOR SCENE DECOMPOSITION AND REPRESENTATION	Unknown	PDF	N/A
$\beta$-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap	Unknown	PDF	N/A
Augmented Sliced Wasserstein Distances	Unknown	PDF	N/A
Neural Processes with Stochastic Attention: Paying more attention to the context dataset	Unknown	PDF	N/A
Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness	Unknown	PDF	N/A
Towards General Function Approximation in Zero-Sum Markov Games	Unknown	PDF	N/A
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning	Unknown	PDF	N/A
Counterfactual Plans under Distributional Ambiguity	Unknown	PDF	N/A
Boosted Curriculum Reinforcement Learning	Unknown	PDF	N/A
TAda! Temporally-Adaptive Convolutions for Video Understanding	Unknown	PDF	N/A
Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations	Unknown	PDF	N/A
$\mathrm{SO}(2)$-Equivariant Reinforcement Learning	Unknown	PDF	N/A
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference	Unknown	PDF	N/A
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How	Unknown	PDF	N/A
Equivariant Graph Mechanics Networks with Constraints	Unknown	PDF	N/A
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling	Unknown	PDF	N/A
SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training	Unknown	PDF	N/A
Understanding Dimensional Collapse in Contrastive Self-supervised Learning	Unknown	PDF	N/A
Constrained Physical-Statistics Models for Dynamical System Identification and Prediction	Unknown	PDF	N/A
Anti-Concentrated Confidence Bonuses For Scalable Exploration	Unknown	PDF	N/A
Learning Distributionally Robust Models at Scale via Composite Optimization	Unknown	PDF	N/A
On Predicting Generalization using GANs	Unknown	PDF	N/A
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization	Unknown	PDF	N/A
Deep Point Cloud Reconstruction	Unknown	PDF	N/A
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series	Unknown	PDF	N/A
Half-Inverse Gradients for Physical Deep Learning	Unknown	PDF	N/A
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views?	Unknown	PDF	N/A
On the relation between statistical learning and perceptual distances	Unknown	PDF	N/A
Graph-based Nearest Neighbor Search in Hyperbolic Spaces	Unknown	PDF	N/A
Generalized rectifier wavelet covariance models for texture synthesis	Unknown	PDF	N/A
Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations	Unknown	PDF	N/A
PSA-GAN: Progressive Self Attention GANs for Synthetic Time Series	Unknown	PDF	N/A
Variational Neural Cellular Automata	Unknown	PDF	N/A
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks	Unknown	PDF	N/A
Generalization Through the Lens of Leave-One-Out Error	Unknown	PDF	N/A
Variational methods for simulation-based inference	Unknown	PDF	N/A
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions	Unknown	PDF	N/A
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning	Unknown	PDF	N/A
Practical Conditional Neural Process Via Tractable Dependent Predictions	Unknown	PDF	N/A
CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation	Unknown	PDF	N/A
Selective Ensembles for Consistent Predictions	Unknown	PDF	N/A
Multi-Stage Episodic Control for Strategic Exploration in Text Games	Unknown	PDF	N/A
Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns	Unknown	PDF	N/A
A First-Occupancy Representation for Reinforcement Learning	Unknown	PDF	N/A
Space-Time Graph Neural Networks	Unknown	PDF	N/A
Offline Reinforcement Learning with Value-based Episodic Memory	Unknown	PDF	N/A
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models	Unknown	PDF	N/A
Defending Against Image Corruptions Through Adversarial Augmentations	Unknown	PDF	N/A
Object Pursuit: Building a Space of Objects via Discriminative Weight Generation	Unknown	PDF	N/A
The Spectral Bias of Polynomial Neural Networks	Unknown	PDF	N/A
Synchromesh: Reliable Code Generation from Pre-trained Language Models	Unknown	PDF	N/A
Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction	Unknown	PDF	N/A
Fast topological clustering with Wasserstein distance	Unknown	PDF	N/A
Skill-based Meta-Reinforcement Learning	Unknown	PDF	N/A
Differentiable Scaffolding Tree for Molecule Optimization	Unknown	PDF	N/A
Revisiting Design Choices in Offline Model Based Reinforcement Learning	Unknown	PDF	N/A
An Experimental Design Perspective on Model-Based Reinforcement Learning	Unknown	PDF	N/A
The Evolution of Uncertainty of Learning in Games	Unknown	PDF	N/A
CoMPS: Continual Meta Policy Search	Unknown	PDF	N/A
Reinforcement Learning in Presence of Discrete Markovian Context Evolution	Unknown	PDF	N/A
Provable Learning-based Algorithm For Sparse Recovery	Unknown	PDF	N/A
Granger causal inference on DAGs identifies genomic loci regulating transcription	Unknown	PDF	N/A
Curriculum learning as a tool to uncover learning principles in the brain	Unknown	PDF	N/A
Learning Temporally Causal Latent Processes from General Temporal Data	Unknown	PDF	N/A
Autoregressive Quantile Flows for Predictive Uncertainty Estimation	Unknown	PDF	N/A
Bi-linear Value Networks for Multi-goal Reinforcement Learning	Unknown	PDF	N/A
Deep ReLU Networks Preserve Expected Length	Unknown	PDF	N/A
Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap	Unknown	PDF	N/A
HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning	Unknown	PDF	N/A
What Do We Mean by Generalization in Federated Learning?	Unknown	PDF	N/A
A Comparison of Hamming Errors of Representative Variable Selection Methods	Unknown	PDF	N/A
Model Zoo: A Growing Brain That Learns Continually	Unknown	PDF	N/A
Distributional Reinforcement Learning with Monotonic Splines	Unknown	PDF	N/A
Anisotropic Random Feature Regression in High Dimensions	Unknown	PDF	N/A
Modeling Label Space Interactions in Multi-label Classification using Box Embeddings	Unknown	PDF	N/A
Variational Predictive Routing with Nested Subjective Timescales	Unknown	PDF	N/A
Training invariances and the low-rank phenomenon: beyond linear networks	Unknown	PDF	N/A
A NON-PARAMETRIC REGRESSION VIEWPOINT : GENERALIZATION OF OVERPARAMETRIZED DEEP RELU NETWORK UNDER NOISY OBSERVATIONS	Unknown	PDF	N/A
Top-N: Equivariant Set and Graph Generation without Exchangeability	Unknown	PDF	N/A
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5	Unknown	PDF	N/A
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning	Unknown	PDF	N/A
FedChain: Chained Algorithms for Near-optimal Communication Cost in Federated Learning	Unknown	PDF	N/A
Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums	Unknown	PDF	N/A
Reinforcement Learning under a Multi-agent Predictive State Representation Model: Method and Theory	Unknown	PDF	N/A
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop	Unknown	PDF	N/A
Representational Continuity for Unsupervised Continual Learning	Unknown	PDF	N/A
Context-Aware Sparse Deep Coordination Graphs	Unknown	PDF	N/A
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models	Unknown	PDF	N/A
Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models	Unknown	PDF	N/A
Towards Understanding Generalization via Decomposing Excess Risk Dynamics	Unknown	PDF	N/A
Chunked Autoregressive GAN for Conditional Waveform Synthesis	Unknown	PDF	N/A
Topological Experience Replay	Unknown	PDF	N/A
Generalisation in Lifelong Reinforcement Learning through Logical Composition	Unknown	PDF	N/A
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning System	Unknown	PDF	N/A
Discovering Invariant Rationales for Graph Neural Networks	Unknown	PDF	N/A
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools	Unknown	PDF	N/A
Encoding Weights of Irregular Sparsity for Fixed-to-Fixed Model Compression	Unknown	PDF	N/A
Normalization of Language Embeddings for Cross-Lingual Alignment	Unknown	PDF	N/A
Machine Learning For Elliptic PDEs: Fast Rate Generalization Bound, Neural Scaling Law and Minimax Optimality	Unknown	PDF	N/A
Do We Need Anisotropic Graph Neural Networks?	Unknown	PDF	N/A
Learning to Guide and to be Guided in the Architect-Builder Problem	Unknown	PDF	N/A
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems	Unknown	PDF	N/A
Towards a Unified View of Parameter-Efficient Transfer Learning	Unknown	PDF	N/A
Few-Shot Backdoor Attacks on Visual Object Tracking	Unknown	PDF	N/A
Relational Learning with Variational Bayes	Unknown	PDF	N/A
Scattering Networks on the Sphere for Scalable and Rotationally Equivariant Spherical CNNs	Unknown	PDF	N/A
GATSBI: Generative Adversarial Training for Simulation-Based Inference	Unknown	PDF	N/A
Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation	Unknown	PDF	N/A
Increasing the Cost of Model Extraction with Calibrated Proof of Work	Unknown	PDF	N/A
BAM: Bayes with Adaptive Memory	Unknown	PDF	N/A
Open-Set Recognition: A Good Closed-Set Classifier is All You Need	Unknown	PDF	N/A
Is High Variance Unavoidable in RL? A Case Study in Continuous Control	Unknown	PDF	N/A
Predicting Physics in Mesh-reduced Space with Temporal Attention	Unknown	PDF	N/A
Constructing a Good Behavior Basis for Transfer using Generalized Policy Updates	Unknown	PDF	N/A
Lipschitz-constrained Unsupervised Skill Discovery	Unknown	PDF	N/A
Task Relatedness-Based Generalization Bounds for Meta Learning	Unknown	PDF	N/A
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration	Unknown	PDF	N/A
Universal Approximation Under Constraints is Possible with Transformers	Unknown	PDF	N/A
Unraveling Model-Agnostic Meta-Learning via The Adaptation Learning Rate	Unknown	PDF	N/A
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations	Unknown	PDF	N/A
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters	Unknown	PDF	N/A
On the Learning and Learnability of Quasimetrics	Unknown	PDF	N/A
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization	Unknown	PDF	N/A
Disentanglement Analysis with Partial Information Decomposition	Unknown	PDF	N/A
Emergent Communication at Scale	Unknown	PDF	N/A
Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer	Unknown	PDF	N/A
Optimal Transport for Long-Tailed Recognition with Learnable Cost Matrix	Unknown	PDF	N/A
Adversarially Robust Conformal Prediction	Unknown	PDF	N/A
Generative Pseudo-Inverse Memory	Unknown	PDF	N/A
Improving the Accuracy of Learning Example Weights for Imbalance Classification	Unknown	PDF	N/A
Learning meta-features for AutoML	Unknown	PDF	N/A
Denoising Likelihood Score Matching for Conditional Score-based Data Generation	Unknown	PDF	N/A
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data	Unknown	PDF	N/A
Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data	Unknown	PDF	N/A
A New Perspective on "How Graph Neural Networks Go Beyond Weisfeiler-Lehman?"	Unknown	PDF	N/A
Representation-Agnostic Shape Fields	Unknown	PDF	N/A
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts	Unknown	PDF	N/A
Looking Back on Learned Experiences For Class/task Incremental Learning	Unknown	PDF	N/A
Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable	Unknown	PDF	N/A
Acceleration of Federated Learning with Alleviated Forgetting in Local Training	Unknown	PDF	N/A
Delaunay Component Analysis for Evaluation of Data Representations	Unknown	PDF	N/A
Equivariant Transformers for Neural Network based Molecular Potentials	Unknown	PDF	N/A
Long Expressive Memory for Sequence Modeling	Unknown	PDF	N/A
Training Transition Policies via Distribution Matching for Complex Tasks	Unknown	PDF	N/A
Spherical Message Passing for 3D Molecular Graphs	Unknown	PDF	N/A
Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models	Unknown	PDF	N/A
Eliminating Sharp Minima from SGD with Truncated Heavy-tailed Noise	Unknown	PDF	N/A
Large-Scale Representation Learning on Graphs via Bootstrapping	Unknown	PDF	N/A
VAE Approximation Error: ELBO and Exponential Families	Unknown	PDF	N/A
Label Leakage and Protection in Two-party Split Learning	Unknown	PDF	N/A
Online Adversarial Attacks	Unknown	PDF	N/A
Discrepancy-Based Active Learning for Domain Adaptation	Unknown	PDF	N/A
Bootstrapping Semantic Segmentation with Regional Contrast	Unknown	PDF	N/A
Gradient Matching for Domain Generalization	Unknown	PDF	N/A
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation	Unknown	PDF	N/A
DISSECT: Disentangled Simultaneous Explanations via Concept Traversals	Unknown	PDF	N/A
Exploring Memorization in Adversarial Training	Unknown	PDF	N/A
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations	Unknown	PDF	N/A
NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning	Unknown	PDF	N/A
Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL	Unknown	PDF	N/A
Incremental False Negative Detection for Contrastive Learning	Unknown	PDF	N/A
Learning Curves for SGD on Structured Features	Unknown	PDF	N/A
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation	Unknown	PDF	N/A
Generative Models as a Data Source for Multiview Representation Learning	Unknown	PDF	N/A
Geometry-Consistent Neural Shape Representation with Implicit Displacement Fields	Unknown	PDF	N/A
Reliable Adversarial Distillation with Unreliable Teachers	Unknown	PDF	N/A
Automated Self-Supervised Learning for Graphs	Unknown	PDF	N/A
Stein Latent Optimization for Generative Adversarial Networks	Unknown	PDF	N/A
Is Homophily a Necessity for Graph Neural Networks?	Unknown	PDF	N/A
Boosting Randomized Smoothing with Variance Reduced Classifiers	Unknown	PDF	N/A
Do Not Escape From the Manifold: Discovering the Local Coordinates on the Latent Space of GANs	Unknown	PDF	N/A
Query Embedding on Hyper-Relational Knowledge Graphs	Unknown	PDF	N/A
Steerable Partial Differential Operators for Equivariant Neural Networks	Unknown	PDF	N/A
Learning Multimodal VAEs through Mutual Supervision	Unknown	PDF	N/A
Charformer: Fast Character Transformers via Gradient-based Subword Tokenization	Unknown	PDF	N/A
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity	Unknown	PDF	N/A
The MultiBERTs: BERT Reproductions for Robustness Analysis	Unknown	PDF	N/A
ViTGAN: Training GANs with Vision Transformers	Unknown	PDF	N/A
Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions	Unknown	PDF	N/A
TAPEX: Table Pre-training via Learning a Neural SQL Executor	Unknown	PDF	N/A
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning	Unknown	PDF	N/A
CycleMLP: A MLP-like Architecture for Dense Prediction	Unknown	PDF	N/A
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series	Unknown	PDF	N/A
Perceiver IO: A General Architecture for Structured Inputs & Outputs	Unknown	PDF	N/A
SphereFace2: Binary Classification is All You Need for Deep Face Recognition	Unknown	PDF	N/A
Policy Gradients Incorporating the Future	Unknown	PDF	N/A
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision	Unknown	PDF	N/A
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners	Unknown	PDF	N/A
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization	Unknown	PDF	N/A
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data	Unknown	PDF	N/A
Divisive Feature Normalization Improves Image Recognition Performance in AlexNet	Unknown	PDF	N/A
Finetuned Language Models are Zero-Shot Learners	Unknown	PDF	N/A
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation	Unknown	PDF	N/A
Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative	Unknown	PDF	N/A
Hindsight Foresight Relabeling for Meta-Reinforcement Learning	Unknown	PDF	N/A
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Learning to Downsample for Segmentation of Ultra-High Resolution Images	Unknown	PDF	N/A
Vitruvion: A Generative Model of Parametric CAD Sketches	Unknown	PDF	N/A
IGLU: Efficient GCN Training via Lazy Updates	Unknown	PDF	N/A
Random matrices in service of ML footprint: ternary random features with no performance loss	Unknown	PDF	N/A
Geometric and Physical Quantities improve E(3) Equivariant Message Passing	Unknown	PDF	N/A
PoNet: Pooling Network for Efficient Token Mixing in Long Sequences	Unknown	PDF	N/A
Focus on the Common Good: Group Distributional Robustness Follows	Unknown	PDF	N/A
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning	Unknown	PDF	N/A
8-bit Optimizers via Block-wise Quantization	Unknown	PDF	N/A
Graphon based Clustering and Testing of Networks: Algorithms and Theory	Unknown	PDF	N/A
The Information Geometry of Unsupervised Reinforcement Learning	Unknown	PDF	N/A
VC dimension of partially quantized neural networks in the overparametrized regime	Unknown	PDF	N/A
EntQA: Entity Linking as Question Answering	Unknown	PDF	N/A
Evaluating Model-Based Planning and Planner Amortization for Continuous Control	Unknown	PDF	N/A
GNN is a Counter? Revisiting GNN for Question Answering	Unknown	PDF	N/A
Gradient Step Denoiser for convergent Plug-and-Play	Unknown	PDF	N/A
Planning in Stochastic Environments with a Learned Model	Unknown	PDF	N/A
Creating Training Sets via Weak Indirect Supervision	Unknown	PDF	N/A
Frame Averaging for Invariant and Equivariant Network Design	Unknown	PDF	N/A
Taming Sparsely Activated Transformer with Stochastic Experts	Unknown	PDF	N/A
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness	Unknown	PDF	N/A
On Non-Random Missing Labels in Semi-Supervised Learning	Unknown	PDF	N/A
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication	Unknown	PDF	N/A
QUERY EFFICIENT DECISION BASED SPARSE ATTACKS AGAINST BLACK-BOX DEEP LEARNING MODELS	Unknown	PDF	N/A
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective	Unknown	PDF	N/A
EViT: Expediting Vision Transformers via Token Reorganizations	Unknown	PDF	N/A
Understanding Intrinsic Robustness Using Label Uncertainty	Unknown	PDF	N/A
Label Encoding for Regression Networks	Unknown	PDF	N/A
Knowledge Infused Decoding	Unknown	PDF	N/A
Deep Learning without Shortcuts: Shaping the Kernel with Tailored Rectifiers	Unknown	PDF	N/A
Provably Robust Adversarial Examples	Unknown	PDF	N/A
A Tale of Two Flows: Cooperative Learning of Langevin Flow and Normalizing Flow Toward Energy-Based Model	Unknown	PDF	N/A
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training	Unknown	PDF	N/A
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing	Unknown	PDF	N/A
Conditional Image Generation by Conditioning Variational Auto-Encoders	Unknown	PDF	N/A
Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation	Unknown	PDF	N/A
Generalized Decision Transformer for Offline Hindsight Information Matching	Unknown	PDF	N/A
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search	Unknown	PDF	N/A
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization	Unknown	PDF	N/A
Imitation Learning from Observations under Transition Model Disparity	Unknown	PDF	N/A
LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT	Unknown	PDF	N/A
How Did the Model Change? Efficiently Assessing Machine Learning API Shifts	Unknown	PDF	N/A
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs	Unknown	PDF	N/A
On Bridging Generic and Personalized Federated Learning for Image Classification	Unknown	PDF	N/A
Few-shot Learning via Dirichlet Tessellation Ensemble	Unknown	PDF	N/A
Learning to Dequantise with Truncated Flows	Unknown	PDF	N/A
Latent Image Animator: Learning to Animate Images via Latent Space Navigation	Unknown	PDF	N/A
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations	Unknown	PDF	N/A
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings	Unknown	PDF	N/A
Unsupervised Vision-Language Grammar Induction with Shared Structure Modeling	Unknown	PDF	N/A
Environment Predictive Coding for Visual Navigation	Unknown	PDF	N/A
An Agnostic Approach to Federated Learning with Class Imbalance	Unknown	PDF	N/A
Vision-Based Manipulators Need to Also See from Their Hands	Unknown	PDF	N/A
A Program to Build E(N)-Equivariant Steerable CNNs	Unknown	PDF	N/A
Deconstructing the Inductive Biases of Hamiltonian Neural Networks	Unknown	PDF	N/A
A Zest of LIME: Towards Architecture-Independent Model Distances	Unknown	PDF	N/A
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards	Unknown	PDF	N/A
DictFormer: Tiny Transformer with Shared Dictionary	Unknown	PDF	N/A
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions	Unknown	PDF	N/A
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning	Unknown	PDF	N/A
Equivariant Self-Supervised Learning: Encouraging Equivariance in Representations	Unknown	PDF	N/A
iLQR-VAE : control-based learning of input-driven dynamics with applications to neural data	Unknown	PDF	N/A
Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels	Unknown	PDF	N/A
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators	Unknown	PDF	N/A
Compositional Training for End-to-End Deep AUC Maximization	Unknown	PDF	N/A
FedBABU: Toward Enhanced Representation for Federated Image Classification	Unknown	PDF	N/A
Unsupervised Semantic Segmentation by Distilling Feature Correspondences	Unknown	PDF	N/A
Efficient and Differentiable Conformal Prediction with General Function Classes	Unknown	PDF	N/A
Pseudo Numerical Methods for Diffusion Models on Manifolds	Unknown	PDF	N/A
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective	Unknown	PDF	N/A
Learning Weakly-supervised Contrastive Representations	Unknown	PDF	N/A
Fast Model Editing at Scale	Unknown	PDF	N/A
DEGREE: Decomposition Based Explanation for Graph Neural Networks	Unknown	PDF	N/A
Generalizing Few-Shot NAS with Gradient Matching	Unknown	PDF	N/A
Sound Adversarial Audio-Visual Navigation	Unknown	PDF	N/A
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization	Unknown	PDF	N/A
Illiterate DALL-E Learns to Compose	Unknown	PDF	N/A
Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators	Unknown	PDF	N/A
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception	Unknown	PDF	N/A
Linking Emergent and Natural Languages via Corpus Transfer	Unknown	PDF	N/A
Know Thyself: Transferable Visual Control Policies Through Robot-Awareness	Unknown	PDF	N/A
PiCO: Contrastive Label Disambiguation for Partial Label Learning	Unknown	PDF	N/A
ZeroFL: Efficient On-Device Training for Federated Learning with Local Sparsity	Unknown	PDF	N/A
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift	Unknown	PDF	N/A
Model-augmented Prioritized Experience Replay	Unknown	PDF	N/A
Bridging Recommendation and Marketing via Recurrent Intensity Modeling	Unknown	PDF	N/A
Continual Learning with Filter Atom Swapping	Unknown	PDF	N/A
One After Another: Learning Incremental Skills for a Changing World	Unknown	PDF	N/A
DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations	Unknown	PDF	N/A
Learning to Schedule Learning rate with Graph Neural Networks	Unknown	PDF	N/A
How Do Vision Transformers Work?	Unknown	PDF	N/A
BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis	Unknown	PDF	N/A
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?	Unknown	PDF	N/A
On Incorporating Inductive Biases into VAEs	Unknown	PDF	N/A
Learning Generalizable Representations for Reinforcement Learning via Adaptive Meta-learner of Behavioral Similarities	Unknown	PDF	N/A
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework	Unknown	PDF	N/A
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC	Unknown	PDF	N/A
Orchestrated Value Mapping for Reinforcement Learning	Unknown	PDF	N/A
Gradient Information Matters in Policy Optimization by Back-propagating through Model	Unknown	PDF	N/A
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning	Unknown	PDF	N/A
Evaluating Distributional Distortion in Neural Language Modeling	Unknown	PDF	N/A
Mapping Language Models to Grounded Conceptual Spaces	Unknown	PDF	N/A
UniFormer: Unified Transformer for Efficient Spatial-Temporal Representation Learning	Unknown	PDF	N/A
On Robust Prefix-Tuning for Text Classification	Unknown	PDF	N/A
Regularized Autoencoders for Isometric Representation Learning	Unknown	PDF	N/A
Learning to Generalize across Domains on Single Test Samples	Unknown	PDF	N/A
Relational Multi-Task Learning: Modeling Relations between Data and Tasks	Unknown	PDF	N/A
ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning	Unknown	PDF	N/A
GeneDisco: A Benchmark for Experimental Design in Drug Discovery	Unknown	PDF	N/A
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents	Unknown	PDF	N/A
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond	Unknown	PDF	N/A
How Well Does Self-Supervised Pre-Training Perform with Streaming Data?	Unknown	PDF	N/A
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning	Unknown	PDF	N/A
Group-based Interleaved Pipeline Parallelism for Large-scale DNN Training	Unknown	PDF	N/A
Practical Integration via Separable Bijective Networks	Unknown	PDF	N/A
Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification	Unknown	PDF	N/A
Local Feature Swapping for Generalization in Reinforcement Learning	Unknown	PDF	N/A
Language modeling via stochastic processes	Unknown	PDF	N/A
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution	Unknown	PDF	N/A
Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks	Unknown	PDF	N/A
F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization	Unknown	PDF	N/A
Neural Relational Inference with Node-Specific Information	Unknown	PDF	N/A
DARA: Dynamics-Aware Reward Augmentation in Offline Reinforcement Learning	Unknown	PDF	N/A
Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization	Unknown	PDF	N/A
GraphENS: Neighbor-Aware Ego Network Synthesis for Class-Imbalanced Node Classification	Unknown	PDF	N/A
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph	Unknown	PDF	N/A
Using Graph Representation Learning with Schema Encoders to Measure the Severity of Depressive Symptoms	Unknown	PDF	N/A
Hot-Refresh Model Upgrades with Regression-Free Compatible Training in Image Retrieval	Unknown	PDF	N/A
Graph Auto-Encoder via Neighborhood Wasserstein Reconstruction	Unknown	PDF	N/A
Neural Deep Equilibrium Solvers	Unknown	PDF	N/A
Relational Surrogate Loss Learning	Unknown	PDF	N/A
Graph-Enhanced Exploration for Goal-oriented Reinforcement Learning	Unknown	PDF	N/A
Conditioning Sequence-to-sequence Networks with Learned Activations	Unknown	PDF	N/A
Inductive Relation Prediction Using Analogy Subgraph Embeddings	Unknown	PDF	N/A
Continual Normalization: Rethinking Batch Normalization for Online Continual Learning	Unknown	PDF	N/A
Divergence-aware Federated Self-Supervised Learning	Unknown	PDF	N/A
Controlling the Complexity and Lipschitz Constant improves Polynomial Nets	Unknown	PDF	N/A
Generative Principal Component Analysis	Unknown	PDF	N/A
Learning Towards The Largest Margins	Unknown	PDF	N/A
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design	Unknown	PDF	N/A
Domain Adversarial Training: A Game Perspective	Unknown	PDF	N/A
On the Uncomputability of Partition Functions in Energy-Based Sequence Models	Unknown	PDF	N/A
Towards Model Agnostic Federated Learning Using Knowledge Distillation	Unknown	PDF	N/A
Minimax Optimization with Smooth Algorithmic Adversaries	Unknown	PDF	N/A
A Loss Curvature Perspective on Training Instabilities of Deep Learning Models	Unknown	PDF	N/A
Backdoor Defense via Decoupling the Training Process	Unknown	PDF	N/A
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations	Unknown	PDF	N/A
On Redundancy and Diversity in Cell-based Neural Architecture Search	Unknown	PDF	N/A
Coordination Among Neural Modules Through a Shared Global Workspace	Unknown	PDF	N/A
RotoGrad: Gradient Homogenization in Multitask Learning	Unknown	PDF	N/A
cosFormer: Rethinking Softmax In Attention	Unknown	PDF	N/A
Exploring the Limits of Large Scale Pre-training	Unknown	PDF	N/A
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning	Unknown	PDF	N/A
KL Guided Domain Adaptation	Unknown	PDF	N/A
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind	Unknown	PDF	N/A
Map Induction: Compositional spatial submap learning for efficient exploration in novel environments	Unknown	PDF	N/A
Proving the Lottery Ticket Hypothesis for Convolutional Neural Networks	Unknown	PDF	N/A
Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions	Unknown	PDF	N/A
Meta-Learning with Fewer Tasks through Task Interpolation	Unknown	PDF	N/A
Transformer-based Transform Coding	Unknown	PDF	N/A
BEiT: BERT Pre-Training of Image Transformers	Unknown	PDF	N/A
Zero Pixel Directional Boundary by Vector Transform	Unknown	PDF	N/A
Gaussian Mixture Convolution Networks	Unknown	PDF	N/A
Image BERT Pre-training with Online Tokenizer	Unknown	PDF	N/A
Online Coreset Selection for Rehearsal-based Continual Learning	Unknown	PDF	N/A
Non-Linear Operator Approximations for Initial Value Problems	Unknown	PDF	N/A
Better Supervisory Signals by Observing Learning Paths	Unknown	PDF	N/A
Bag of Instances Aggregation Boosts Self-supervised Distillation	Unknown	PDF	N/A
Omni-Dimensional Dynamic Convolution	Unknown	PDF	N/A
Learning State Representations via Retracing in Reinforcement Learning	Unknown	PDF	N/A
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training	Unknown	PDF	N/A
Learning to Map for Active Semantic Goal Navigation	Unknown	PDF	N/A
Transfer RL across Observation Feature Spaces via Model-Based Regularization	Unknown	PDF	N/A
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing	Unknown	PDF	N/A
Adversarial Support Alignment	Unknown	PDF	N/A
Boosting the Certified Robustness of L-infinity Distance Nets	Unknown	PDF	N/A
Spanning Tree-based Graph Generation for Molecules	Unknown	PDF	N/A
Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound	Unknown	PDF	N/A
Policy improvement by planning with Gumbel	Unknown	PDF	N/A
Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs	Unknown	PDF	N/A
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models	Unknown	PDF	N/A
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation	Unknown	PDF	N/A
Subspace Regularizers for Few-Shot Class Incremental Learning	Unknown	PDF	N/A
Structure-Aware Transformer Policy for Inhomogeneous Multi-Task Reinforcement Learning	Unknown	PDF	N/A
Learning Super-Features for Image Retrieval	Unknown	PDF	N/A
Auto-scaling Vision Transformers without Training	Unknown	PDF	N/A
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond	Unknown	PDF	N/A
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training	Unknown	PDF	N/A
L0-Sparse Canonical Correlation Analysis	Unknown	PDF	N/A
Exploiting Class Activation Value for Partial-Label Learning	Unknown	PDF	N/A
Dual Lottery Ticket Hypothesis	Unknown	PDF	N/A
Visual Representation Learning over Latent Domains	Unknown	PDF	N/A
Towards Building A Group-based Unsupervised Representation Disentanglement Framework	Unknown	PDF	N/A
Benchmarking the Spectrum of Agent Capabilities	Unknown	PDF	N/A
Self-ensemble Adversarial Training for Improved Robustness	Unknown	PDF	N/A
Learning Prototype-oriented Set Representations for Meta-Learning	Unknown	PDF	N/A
Neural Program Synthesis with Query	Unknown	PDF	N/A
Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently	Unknown	PDF	N/A
Coherence-based Label Propagation over Time Series for Accelerated Active Learning	Unknown	PDF	N/A
Scaling Laws for Neural Machine Translation	Unknown	PDF	N/A
Interacting Contour Stochastic Gradient Langevin Dynamics	Unknown	PDF	N/A
GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING	Unknown	PDF	N/A
Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs	Unknown	PDF	N/A
Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning	Unknown	PDF	N/A
Adversarial Robustness Through the Lens of Causality	Unknown	PDF	N/A
Stochastic Training is Not Necessary for Generalization	Unknown	PDF	N/A
Conditional Object-Centric Learning from Video	Unknown	PDF	N/A
Distributionally Robust Models with Parametric Likelihood Ratios	Unknown	PDF	N/A
Connectome-constrained Latent Variable Model of Whole-Brain Neural Activity	Unknown	PDF	N/A
Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks	Unknown	PDF	N/A
Igeood: An Information Geometry Approach to Out-of-Distribution Detection	Unknown	PDF	N/A
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning	Unknown	PDF	N/A
GiraffeDet: A Heavy-Neck Paradigm for Object Detection	Unknown	PDF	N/A
Generative Planning for Temporally Coordinated Exploration in Reinforcement Learning	Unknown	PDF	N/A
Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning	Unknown	PDF	N/A
$\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization	Unknown	PDF	N/A
R4D: Utilizing Reference Objects for Long-Range Distance Estimation	Unknown	PDF	N/A
RegionViT: Regional-to-Local Attention for Vision Transformers	Unknown	PDF	N/A
Efficient Computation of Deep Nonlinear Infinite-Width Neural Networks that Learn Features	Unknown	PDF	N/A
Efficient Active Search for Combinatorial Optimization Problems	Unknown	PDF	N/A
No One Representation to Rule Them All: Overlapping Features of Training Methods	Unknown	PDF	N/A
Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural network optimization	Unknown	PDF	N/A
Deep Attentive Variational Inference	Unknown	PDF	N/A
Towards Empirical Sandwich Bounds on the Rate-Distortion Function	Unknown	PDF	N/A
Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring	Unknown	PDF	N/A
Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation	Unknown	PDF	N/A
Unsupervised Discovery of Object Radiance Fields	Unknown	PDF	N/A
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications	Unknown	PDF	N/A
Efficient Self-supervised Vision Transformers for Representation Learning	Unknown	PDF	N/A
On the Role of Neural Collapse in Transfer Learning	Unknown	PDF	N/A
Optimization and Adaptive Generalization of Three layer Neural Networks	Unknown	PDF	N/A
On the Importance of Firth Bias Reduction in Few-Shot Classification	Unknown	PDF	N/A
Memorizing Transformers	Unknown	PDF	N/A
On the role of population heterogeneity in emergent communication	Unknown	PDF	N/A
Plant 'n' Seek: Can You Find the Winning Ticket?	Unknown	PDF	N/A
Neural Stochastic Dual Dynamic Programming	Unknown	PDF	N/A
Discrete Representations Strengthen Vision Transformer Robustness	Unknown	PDF	N/A
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks	Unknown	PDF	N/A
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization	Unknown	PDF	N/A
GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems	Unknown	PDF	N/A
Bootstrapped Meta-Learning	Unknown	PDF	N/A
Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization	Unknown	PDF	N/A
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks	Unknown	PDF	N/A
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences	Unknown	PDF	N/A
Efficient Neural Causal Discovery without Acyclicity Constraints	Unknown	PDF	N/A
Path Auxiliary Proposal for MCMC in Discrete Space	Unknown	PDF	N/A
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks	Unknown	PDF	N/A
Approximation and Learning with Deep Convolutional Models: a Kernel Perspective	Unknown	PDF	N/A
Fairness Guarantees under Demographic Shift	Unknown	PDF	N/A
Do deep networks transfer invariances across classes?	Unknown	PDF	N/A
Resolving Training Biases via Influence-based Data Relabeling	Unknown	PDF	N/A
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage	Unknown	PDF	N/A
On feature learning in neural networks with global convergence guarantees	Unknown	PDF	N/A
Case-based reasoning for better generalization in textual reinforcement learning	Unknown	PDF	N/A
Assessing Generalization of SGD via Disagreement	Unknown	PDF	N/A
Churn Reduction via Distillation	Unknown	PDF	N/A
Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits	Unknown	PDF	N/A
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models	Unknown	PDF	N/A
PAC Prediction Sets Under Covariate Shift	Unknown	PDF	N/A
FP-DETR: Detection Transformer Advanced by Fully Pre-training	Unknown	PDF	N/A
Generalized Kernel Thinning	Unknown	PDF	N/A
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem	Unknown	PDF	N/A
Toward Efficient Low-Precision Training: Data Format Optimization and Hysteresis Quantization	Unknown	PDF	N/A
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations	Unknown	PDF	N/A
Amortized Implicit Differentiation for Stochastic Bilevel Optimization	Unknown	PDF	N/A
Neural Models for Output-Space Invariance in Combinatorial Problems	Unknown	PDF	N/A
Memory Augmented Optimizers for Deep Learning	Unknown	PDF	N/A
Tracking the risk of a deployed model and detecting harmful distribution shifts	Unknown	PDF	N/A
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning	Unknown	PDF	N/A
Learning-Augmented $k$-means Clustering	Unknown	PDF	N/A
Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction	Unknown	PDF	N/A
It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation	Unknown	PDF	N/A
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation	Unknown	PDF	N/A
Spike-inspired rank coding for fast and accurate recurrent neural networks	Unknown	PDF	N/A
Attention-based Interpretability with Concept Transformers	Unknown	PDF	N/A
Information-theoretic Online Memory Selection for Continual Learning	Unknown	PDF	N/A
On Improving Adversarial Transferability of Vision Transformers	Unknown	PDF	N/A
Programmatic Reinforcement Learning without Oracles	Unknown	PDF	N/A
CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals	Unknown	PDF	N/A
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability	Unknown	PDF	N/A
Learning transferable motor skills with hierarchical latent mixture policies	Unknown	PDF	N/A
Responsible Disclosure of Generative Models Using Scalable Fingerprinting	Unknown	PDF	N/A
A Fine-Tuning Approach to Belief State Modeling	Unknown	PDF	N/A
Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach	Unknown	PDF	N/A
Learning to Annotate Part Segmentation with Gradient Matching	Unknown	PDF	N/A
Collapse by Conditioning: Training Class-conditional GANs with Limited Data	Unknown	PDF	N/A
Surrogate NAS Benchmarks: Going Beyond the Limited Search Spaces of Tabular NAS Benchmarks	Unknown	PDF	N/A
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals	Unknown	PDF	N/A
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis	Unknown	PDF	N/A
On the Certified Robustness for Ensemble Models and Beyond	Unknown	PDF	N/A
Visual hyperacuity with moving sensor and recurrent neural computations	Unknown	PDF	N/A
Implicit Bias of Projected Subgradient Method Gives Provable Robust Recovery of Subspaces of Unknown Codimension	Unknown	PDF	N/A
CLEVA-Compass: A Continual Learning Evaluation Assessment Compass to Promote Research Transparency and Comparability	Unknown	PDF	N/A
GRAND++: Graph Neural Diffusion with A Source Term	Unknown	PDF	N/A
Can an Image Classifier Suffice For Action Recognition?	Unknown	PDF	N/A
AS-MLP: An Axial Shifted MLP Architecture for Vision	Unknown	PDF	N/A
Fairness in Representation for Multilingual NLP: Insights from Controlled Experiments on Conditional Language Modeling	Unknown	PDF	N/A
MT3: Multi-Task Multitrack Music Transcription	Unknown	PDF	N/A
Information Prioritization through Empowerment in Visual Model-based RL	Unknown	PDF	N/A
VOS: Learning What You Don't Know by Virtual Outlier Synthesis	Unknown	PDF	N/A
Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off	Unknown	PDF	N/A
Pre-training Molecular Graph Representation with 3D Geometry	Unknown	PDF	N/A
A General Analysis of Example-Selection for Stochastic Gradient Descent	Unknown	PDF	N/A
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification	Unknown	PDF	N/A
Objects in Semantic Topology	Unknown	PDF	N/A
Neural Spectral Marked Point Processes	Unknown	PDF	N/A
Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems	Unknown	PDF	N/A
Label-Efficient Semantic Segmentation with Diffusion Models	Unknown	PDF	N/A
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression	Unknown	PDF	N/A
Improving Mutual Information Estimation with Annealed and Energy-Based Bounds	Unknown	PDF	N/A
An Autoregressive Flow Model for 3D Molecular Geometry Generation from Scratch	Unknown	PDF	N/A
Learning Curves for Gaussian Process Regression with Power-Law Priors and Targets	Unknown	PDF	N/A
Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image	Unknown	PDF	N/A
Tighter Sparse Approximation Bounds for ReLU Neural Networks	Unknown	PDF	N/A
The Uncanny Similarity of Recurrence and Depth	Unknown	PDF	N/A
A Deep Variational Approach to Clustering Survival Data	Unknown	PDF	N/A
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?	Unknown	PDF	N/A
A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning	Unknown	PDF	N/A
Continuous-Time Meta-Learning with Forward Mode Differentiation	Unknown	PDF	N/A
Geometric Transformers for Protein Interface Contact Prediction	Unknown	PDF	N/A
Who Is Your Right Mixup Partner in Positive and Unlabeled Learning	Unknown	PDF	N/A
Generative Modeling with Optimal Transport Maps	Unknown	PDF	N/A
MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining	Unknown	PDF	N/A
Maximizing Ensemble Diversity in Deep Reinforcement Learning	Unknown	PDF	N/A
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models	Unknown	PDF	N/A
Monotonic Differentiable Sorting Networks	Unknown	PDF	N/A
Interpretable Unsupervised Diversity Denoising and Artefact Removal	Unknown	PDF	N/A
FedPara: Low-rank Hadamard Product for Communication-Efficient Federated Learning	Unknown	PDF	N/A
Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond)	Unknown	PDF	N/A
Neural Contextual Bandits with Deep Representation and Shallow Exploration	Unknown	PDF	N/A
Learning Neural Contextual Bandits through Perturbed Rewards	Unknown	PDF	N/A
Multi-Task Processes	Unknown	PDF	N/A
The Role of Pretrained Representations for the OOD Generalization of RL Agents	Unknown	PDF	N/A
Differentially Private Fine-tuning of Language Models	Unknown	PDF	N/A
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy	Unknown	PDF	N/A
QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization	Unknown	PDF	N/A
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum	Unknown	PDF	N/A
Stiffness-aware neural network for learning Hamiltonian systems	Unknown	PDF	N/A
Topological Graph Neural Networks	Unknown	PDF	N/A
CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture	Unknown	PDF	N/A
Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality	Unknown	PDF	N/A
Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty	Unknown	PDF	N/A
Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations	Unknown	PDF	N/A
Sample and Computation Redistribution for Efficient Face Detection	Unknown	PDF	N/A
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective	Unknown	PDF	N/A
Closed-form Sample Probing for Learning Generative Models in Zero-shot Learning	Unknown	PDF	N/A
Dive Deeper Into Integral Pose Regression	Unknown	PDF	N/A
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer	Unknown	PDF	N/A
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning	Unknown	PDF	N/A
SHINE: SHaring the INverse Estimate from the forward pass for bi-level optimization and implicit models	Unknown	PDF	N/A
Leveraging Automated Unit Tests for Unsupervised Code Translation	Unknown	PDF	N/A
Explainable GNN-Based Models over Knowledge Graphs	Unknown	PDF	N/A
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing	Unknown	PDF	N/A
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization	Unknown	PDF	N/A
SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations	Unknown	PDF	N/A
IntSGD: Adaptive Floatless Compression of Stochastic Gradients	Unknown	PDF	N/A
Understanding the Role of Self Attention for Efficient Speech Recognition	Unknown	PDF	N/A
PAC-Bayes Information Bottleneck	Unknown	PDF	N/A
When should agents explore?	Unknown	PDF	N/A
Understanding and Leveraging Overparameterization in Recursive Value Estimation	Unknown	PDF	N/A
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path	Unknown	PDF	N/A
Hindsight: Posterior-guided training of retrievers for improved open-ended generation	Unknown	PDF	N/A
Imbedding Deep Neural Networks	Unknown	PDF	N/A
PF-GNN: Differentiable particle filtering based approximation of universal graph representations	Unknown	PDF	N/A
Mirror Descent Policy Optimization	Unknown	PDF	N/A
Unrolling PALM for Sparse Semi-Blind Source Separation	Unknown	PDF	N/A
MoReL: Multi-omics Relational Learning	Unknown	PDF	N/A
Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity	Unknown	PDF	N/A
Hybrid Local SGD for Federated Learning with Heterogeneous Communications	Unknown	PDF	N/A
How to Train Your MAML to Excel in Few-Shot Classification	Unknown	PDF	N/A
Learning more skills through optimistic exploration	Unknown	PDF	N/A
Understanding and Preventing Capacity Loss in Reinforcement Learning	Unknown	PDF	N/A
Dealing with Non-Stationarity in MARL via Trust-Region Decomposition	Unknown	PDF	N/A
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics	Unknown	PDF	N/A
Cross-Domain Imitation Learning via Optimal Transport	Unknown	PDF	N/A
Prototypical Contrastive Predictive Coding	Unknown	PDF	N/A
LoRA: Low-Rank Adaptation of Large Language Models	Unknown	PDF	N/A
Optimal ANN-SNN Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks	Unknown	PDF	N/A
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation	Unknown	PDF	N/A
Axiomatic Explanations for Visual Search, Retrieval, and Similarity Learning	Unknown	PDF	N/A
Optimizing Neural Networks with Gradient Lexicase Selection	Unknown	PDF	N/A
Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm	Unknown	PDF	N/A
Value Gradient weighted Model-Based Reinforcement Learning	Unknown	PDF	N/A
Learning Value Functions from Undirected State-only Experience	Unknown	PDF	N/A
Vector-quantized Image Modeling with Improved VQGAN	Unknown	PDF	N/A
Toward Faithful Case-based Reasoning through Learning Prototypes in a Nearest Neighbor-friendly Space.	Unknown	PDF	N/A
Near-optimal Offline Reinforcement Learning with Linear Representation: Leveraging Variance Information with Pessimism	Unknown	PDF	N/A
Transformers Can Do Bayesian Inference	Unknown	PDF	N/A
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space	Unknown	PDF	N/A
Network Augmentation for Tiny Deep Learning	Unknown	PDF	N/A
Optimal Transport for Causal Discovery	Unknown	PDF	N/A
GLASS: GNN with Labeling Tricks for Subgraph Representation Learning	Unknown	PDF	N/A
New Insights on Reducing Abrupt Representation Change in Online Continual Learning	Unknown	PDF	N/A
Decoupled Adaptation for Cross-Domain Object Detection	Unknown	PDF	N/A
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models	Unknown	PDF	N/A
Visual Correspondence Hallucination	Unknown	PDF	N/A
Bayesian Framework for Gradient Leakage	Unknown	PDF	N/A
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization	Unknown	PDF	N/A
Learning curves for continual learning in neural networks: Self-knowledge transfer and forgetting	Unknown	PDF	N/A
How many degrees of freedom do we need to train deep networks: a loss landscape perspective	Unknown	PDF	N/A
Effective Model Sparsification by Scheduled Grow-and-Prune Methods	Unknown	PDF	N/A
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward	Unknown	PDF	N/A
Energy-Inspired Molecular Conformation Optimization	Unknown	PDF	N/A
An Explanation of In-context Learning as Implicit Bayesian Inference	Unknown	PDF	N/A
The Close Relationship Between Contrastive Learning and Meta-Learning	Unknown	PDF	N/A
Learning Transferable Reward for Query Object Localization with Policy Adaptation	Unknown	PDF	N/A
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings	Unknown	PDF	N/A
You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction	Unknown	PDF	N/A
Shuffle Private Stochastic Convex Optimization	Unknown	PDF	N/A
Maximum Entropy RL (Provably) Solves Some Robust RL Problems	Unknown	PDF	N/A
Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream	Unknown	PDF	N/A
Autonomous Learning of Object-Centric Abstractions for High-Level Planning	Unknown	PDF	N/A
Fortuitous Forgetting in Connectionist Networks	Unknown	PDF	N/A
A Generalized Weighted Optimization Method for Computational Learning and Inversion	Unknown	PDF	N/A
Learning Synthetic Environments and Reward Networks for Reinforcement Learning	Unknown	PDF	N/A
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different	Unknown	PDF	N/A
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling	Unknown	PDF	N/A
FILM: Following Instructions in Language with Modular Methods	Unknown	PDF	N/A
T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis	Unknown	PDF	N/A
Top-label calibration and multiclass-to-binary reductions	Unknown	PDF	N/A
PEARL: Data Synthesis via Private Embeddings and Adversarial Reconstruction Learning	Unknown	PDF	N/A
Leveraging unlabeled data to predict out-of-distribution performance	Unknown	PDF	N/A
On the Limitations of Multimodal VAEs	Unknown	PDF	N/A
Maximum n-times Coverage for Vaccine Design	Unknown	PDF	N/A
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features	Unknown	PDF	N/A
TRAIL: Near-Optimal Imitation Learning with Suboptimal Data	Unknown	PDF	N/A
The Geometry of Memoryless Stochastic Policy Optimization in Infinite-Horizon POMDPs	Unknown	PDF	N/A
A Theoretical Analysis on Feature Learning in Neural Networks: Emergence from Inputs and Advantage over Fixed Features	Unknown	PDF	N/A
Recursive Disentanglement Network	Unknown	PDF	N/A
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes	Unknown	PDF	N/A
Multi-objective Optimization by Learning Space Partition	Unknown	PDF	N/A
Neural Structured Prediction for Inductive Node Classification	Unknown	PDF	N/A
Knowledge Removal in Sampling-based Bayesian Inference	Unknown	PDF	N/A
Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation	Unknown	PDF	N/A
Language-biased image classification: evaluation based on semantic representations	Unknown	PDF	N/A
What’s Wrong with Deep Learning in Tree Search for Combinatorial Optimization	Unknown	PDF	N/A
Convergent and Efficient Deep Q Learning Algorithm	Unknown	PDF	N/A
Constrained Policy Optimization via Bayesian World Models	Unknown	PDF	N/A
Quadtree Attention for Vision Transformers	Unknown	PDF	N/A
FastSHAP: Real-Time Shapley Value Estimation	Unknown	PDF	N/A
Robust and Scalable SDE Learning: A Functional Perspective	Unknown	PDF	N/A
CURVATURE-GUIDED DYNAMIC SCALE NETWORKS FOR MULTI-VIEW STEREO	Unknown	PDF	N/A
StyleAlign: Analysis and Applications of Aligned StyleGAN Models	Unknown	PDF	N/A
Autonomous Reinforcement Learning: Formalism and Benchmarking	Unknown	PDF	N/A
Understanding over-squashing and bottlenecks on graphs via curvature	Unknown	PDF	N/A
Exploring extreme parameter compression for pre-trained language models	Unknown	PDF	N/A
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks	Unknown	PDF	N/A
Pix2seq: A Language Modeling Framework for Object Detection	Unknown	PDF	N/A
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis	Unknown	PDF	N/A
Scale Efficiently: Insights from Pretraining and Finetuning Transformers	Unknown	PDF	N/A
Noisy Feature Mixup	Unknown	PDF	N/A
Pretrained Language Model in Continual Learning: A Comparative Study	Unknown	PDF	N/A
Fooling Explanations in Text Classifiers	Unknown	PDF	N/A
Large Language Models Can Be Strong Differentially Private Learners	Unknown	PDF	N/A
Data Poisoning Won’t Save You From Facial Recognition	Unknown	PDF	N/A
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning	Unknown	PDF	N/A
Evidential Turing Processes	Unknown	PDF	N/A
Invariant Causal Representation Learning for Out-of-Distribution Generalization	Unknown	PDF	N/A
Enhancing Cross-lingual Transfer by Manifold Mixup	Unknown	PDF	N/A
Why Propagate Alone? Parallel Use of Labels and Features on Graphs	Unknown	PDF	N/A
Progressive Distillation for Fast Sampling of Diffusion Models	Unknown	PDF	N/A
Iterated Reasoning with Mutual Information in Cooperative and Byzantine Decentralized Teaming	Unknown	PDF	N/A
How Low Can We Go: Trading Memory for Error in Low-Precision Training	Unknown	PDF	N/A
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective	Unknown	PDF	N/A
Active Hierarchical Exploration with Stable Subgoal Representation Learning	Unknown	PDF	N/A
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning	Unknown	PDF	N/A
Permutation-Based SGD: Is Random Optimal?	Unknown	PDF	N/A
Towards Continual Knowledge Learning of Language Models	Unknown	PDF	N/A
GeoDiff: A Geometric Diffusion Model for Molecular Conformation Generation	Unknown	PDF	N/A
Learning to Complete Code with Sketches	Unknown	PDF	N/A
Dynamic Token Normalization improves Vision Transformers	Unknown	PDF	N/A
Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions	Unknown	PDF	N/A
Learning Discrete Structured Variational Auto-Encoder using Natural Evolution Strategies	Unknown	PDF	N/A
Memory Replay with Data Compression for Continual Learning	Unknown	PDF	N/A
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects	Unknown	PDF	N/A
Goal-Directed Planning via Hindsight Experience Replay	Unknown	PDF	N/A
NodePiece: Compositional and Parameter-Efficient Representations of Large Knowledge Graphs	Unknown	PDF	N/A
On the Convergence of mSGD and AdaGrad for Stochastic Optimization	Unknown	PDF	N/A
Hybrid Random Features	Unknown	PDF	N/A
Domino: Discovering Systematic Errors with Cross-Modal Embeddings	Unknown	PDF	N/A
Learned Simulators for Turbulence	Unknown	PDF	N/A
Scalable Sampling for Nonsymmetric Determinantal Point Processes	Unknown	PDF	N/A
Deep AutoAugment	Unknown	PDF	N/A
Towards Understanding the Robustness Against Evasion Attack on Categorical Data	Unknown	PDF	N/A
Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies	Unknown	PDF	N/A
Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme	Unknown	PDF	N/A
Auto-Transfer: Learning to Route Transferable Representations	Unknown	PDF	N/A
Hierarchical Few-Shot Imitation with Skill Transition Models	Unknown	PDF	N/A
How Attentive are Graph Attention Networks?	Unknown	PDF	N/A
FairCal: Fairness Calibration for Face Verification	Unknown	PDF	N/A
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games	Unknown	PDF	N/A
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics	Unknown	PDF	N/A
Sparse Attention with Learning to Hash	Unknown	PDF	N/A
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations	Unknown	PDF	N/A
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning	Unknown	PDF	N/A
Optimizer Amalgamation	Unknown	PDF	N/A
Entroformer: A Transformer-based Entropy Model for Learned Image Compression	Unknown	PDF	N/A
Continual Learning with Recursive Gradient Optimization	Unknown	PDF	N/A
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation	Unknown	PDF	N/A
OntoProtein: Protein Pretraining With Gene Ontology Embedding	Unknown	PDF	N/A
Permutation Compressors for Provably Faster Distributed Nonconvex Optimization	Unknown	PDF	N/A
CrossBeam: Learning to Search in Bottom-Up Program Synthesis	Unknown	PDF	N/A
RvS: What is Essential for Offline RL via Supervised Learning?	Unknown	PDF	N/A
Learning Continuous Environment Fields via Implicit Functions	Unknown	PDF	N/A
Fast AdvProp	Unknown	PDF	N/A
Revisiting flow generative models for Out-of-distribution detection	Unknown	PDF	N/A
DISCOVERING AND EXPLAINING THE REPRESENTATION BOTTLENECK OF DNNS	Unknown	PDF	N/A
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning	Unknown	PDF	N/A
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences	Unknown	PDF	N/A
Poisoning and Backdooring Contrastive Learning	Unknown	PDF	N/A
iFlood: A Stable and Effective Regularizer	Unknown	PDF	N/A
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction	Unknown	PDF	N/A
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients	Unknown	PDF	N/A
When, Why, and Which Pretrained GANs Are Useful?	Unknown	PDF	N/A
Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver	Unknown	PDF	N/A
RelaxLoss: Defending Membership Inference Attacks without Losing Utility	Unknown	PDF	N/A
Compositional Attention: Disentangling Search and Retrieval	Unknown	PDF	N/A
Anomaly Detection for Tabular Data with Internal Contrastive Learning	Unknown	PDF	N/A
Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion	Unknown	PDF	N/A
Stability Regularization for Discrete Representation Learning	Unknown	PDF	N/A
Fixed Neural Network Steganography: Train the images, not the network	Unknown	PDF	N/A
Bregman Gradient Policy Optimization	Unknown	PDF	N/A
X-model: Improving Data Efficiency in Deep Learning with A Minimax Model	Unknown	PDF	N/A
Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach	Unknown	PDF	N/A
Target-Side Input Augmentation for Sequence to Sequence Generation	Unknown	PDF	N/A
Graph Condensation for Graph Neural Networks	Unknown	PDF	N/A
GreaseLM: Graph REASoning Enhanced Language Models	Unknown	PDF	N/A
Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics	Unknown	PDF	N/A
MonoDistill: Learning Spatial Features for Monocular 3D Object Detection	Unknown	PDF	N/A
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL	Unknown	PDF	N/A
Language-driven Semantic Segmentation	Unknown	PDF	N/A
Constructing Orthogonal Convolutions in an Explicit Manner	Unknown	PDF	N/A
HTLM: Hyper-Text Pre-Training and Prompting of Language Models	Unknown	PDF	N/A
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting	Unknown	PDF	N/A
BadPre: Task-agnostic Backdoor Attacks to Pre-trained NLP Foundation Models	Unknown	PDF	N/A
Mind the Gap: Domain Gap Control for Single Shot Domain Adaptation for Generative Adversarial Networks	Unknown	PDF	N/A
Neural Methods for Logical Reasoning over Knowledge Graphs	Unknown	PDF	N/A
Data-Driven Offline Optimization for Architecting Hardware Accelerators	Unknown	PDF	N/A
Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning	Unknown	PDF	N/A
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios	Unknown	PDF	N/A
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios	Unknown	PDF	N/A
Learning Versatile Neural Architectures by Propagating Network Codes	Unknown	PDF	N/A
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning	Unknown	PDF	N/A
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization	Unknown	PDF	N/A
Dynamics-Aware Comparison of Learned Reward Functions	Unknown	PDF	N/A
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications	Unknown	PDF	N/A
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?	Unknown	PDF	N/A
Back2Future: Leveraging Backfill Dynamics for Improving Real-time Predictions in Future	Unknown	PDF	N/A
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching	Unknown	PDF	N/A
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations	Unknown	PDF	N/A
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees	Unknown	PDF	N/A
Discriminative Similarity for Data Clustering	Unknown	PDF	N/A
Generalized Demographic Parity for Group Fairness	Unknown	PDF	N/A
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions	Unknown	PDF	N/A
StyleNeRF: A Style-based 3D Aware Generator for High-resolution Image Synthesis	Unknown	PDF	N/A
Distribution Compression in Near-Linear Time	Unknown	PDF	N/A
On the Connection between Local Attention and Dynamic Depth-wise Convolution	Unknown	PDF	N/A
Explanations of Black-Box Models based on Directional Feature Interactions	Unknown	PDF	N/A
Language model compression with weighted low-rank factorization	Unknown	PDF	N/A
Prototype memory and attention mechanisms for few shot image generation	Unknown	PDF	N/A
Surrogate Gap Minimization Improves Sharpness-Aware Training	Unknown	PDF	N/A
Optimal Representations for Covariate Shift	Unknown	PDF	N/A
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps	Unknown	PDF	N/A
Anytime Dense Prediction with Confidence Adaptivity	Unknown	PDF	N/A
Trigger Hunting with a Topological Prior for Trojan Detection	Unknown	PDF	N/A
Graph-Guided Network for Irregularly Sampled Multivariate Time Series	Unknown	PDF	N/A
SketchODE: Learning neural sketch representation in continuous time	Unknown	PDF	N/A
Convergent Graph Solvers	Unknown	PDF	N/A
MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling	Unknown	PDF	N/A
From Intervention to Domain Transportation: A Novel Perspective to Optimize Recommendation	Unknown	PDF	N/A
Concurrent Adversarial Learning for Large-Batch Training	Unknown	PDF	N/A
CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention	Unknown	PDF	N/A
Properties from mechanisms: an equivariance perspective on identifiable representation learning	Unknown	PDF	N/A
A Unified Contrastive Energy-based Model for Understanding the Generative Ability of Adversarial Training	Unknown	PDF	N/A
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory	Unknown	PDF	N/A
On the Pitfalls of Analyzing Individual Neurons in Language Models	Unknown	PDF	N/A
Graph Neural Networks with Learnable Structural and Positional Representations	Unknown	PDF	N/A
Step-unrolled Denoising Autoencoders for Text Generation	Unknown	PDF	N/A
Sparse Communication via Mixed Distributions	Unknown	PDF	N/A
Chemical-Reaction-Aware Molecule Representation Learning	Unknown	PDF	N/A
CrowdPlay: Crowdsourcing Human Demonstrations for Offline Learning	Unknown	PDF	N/A
Adversarial Retriever-Ranker for Dense Text Retrieval	Unknown	PDF	N/A
Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency	Unknown	PDF	N/A
Handling Distribution Shifts on Graphs: An Invariance Perspective	Unknown	PDF	N/A
Effect of scale on catastrophic forgetting in neural networks	Unknown	PDF	N/A
Fast Differentiable Matrix Square Root	Unknown	PDF	N/A
Topologically Regularized Data Embeddings	Unknown	PDF	N/A
Neural Variational Dropout Processes	Unknown	PDF	N/A
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View	Unknown	PDF	N/A
Privacy Implications of Shuffling	Unknown	PDF	N/A
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design	Unknown	PDF	N/A
Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information	Unknown	PDF	N/A
Proof Artifact Co-Training for Theorem Proving with Language Models	Unknown	PDF	N/A
Non-Parallel Text Style Transfer with Self-Parallel Supervision	Unknown	PDF	N/A
A global convergence theory for deep ReLU implicit networks via over-parameterization	Unknown	PDF	N/A
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning	Unknown	PDF	N/A
Attacking deep networks with surrogate-based adversarial black-box methods is easy	Unknown	PDF	N/A
Revisiting Over-smoothing in BERT from the Perspective of Graph	Unknown	PDF	N/A
Neural Network Approximation based on Hausdorff distance of Tropical Zonotopes	Unknown	PDF	N/A
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice	Unknown	PDF	N/A
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning	Unknown	PDF	N/A
On-Policy Model Errors in Reinforcement Learning	Unknown	PDF	N/A
Signing the Supermask: Keep, Hide, Invert	Unknown	PDF	N/A
Diverse Client Selection for Federated Learning via Submodular Maximization	Unknown	PDF	N/A
Unifying Likelihood-free Inference with Black-box Optimization and Beyond	Unknown	PDF	N/A
COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation	Unknown	PDF	N/A
Transformer Embeddings of Irregularly Spaced Events and Their Participants	Unknown	PDF	N/A
ViDT: An Efficient and Effective Fully Transformer-based Object Detector	Unknown	PDF	N/A
NETWORK INSENSITIVITY TO PARAMETER NOISE VIA PARAMETER ATTACK DURING TRAINING	Unknown	PDF	N/A
Rethinking Adversarial Transferability from a Data Distribution Perspective	Unknown	PDF	N/A
Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks	Unknown	PDF	N/A
Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning	Unknown	PDF	N/A
Neural graphical modelling in continuous-time: consistency guarantees and algorithms	Unknown	PDF	N/A
Capturing Structural Locality in Non-parametric Language Models	Unknown	PDF	N/A
Distilling GANs with Style-Mixed Triplets for X2I Translation with Limited Data	Unknown	PDF	N/A
EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits	Unknown	PDF	N/A
On the Existence of Universal Lottery Tickets	Unknown	PDF	N/A
Sampling with Mirrored Stein Operators	Unknown	PDF	N/A
A Statistical Framework for Efficient Out of Distribution Detection in Deep Neural Networks	Unknown	PDF	N/A
Discovering Latent Concepts Learned in BERT	Unknown	PDF	N/A
Provable Adaptation across Multiway Domains via Representation Learning	Unknown	PDF	N/A
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification	Unknown	PDF	N/A
Group equivariant neural posterior estimation	Unknown	PDF	N/A
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration	Unknown	PDF	N/A
Phase Collapse in Neural Networks	Unknown	PDF	N/A
Federated Learning from Only Unlabeled Data with Class-conditional-sharing Clients	Unknown	PDF	N/A
Message Passing Neural PDE Solvers	Unknown	PDF	N/A
It Takes Two to Tango: Mixup for Deep Metric Learning	Unknown	PDF	N/A
Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games	Unknown	PDF	N/A
Self-supervised Learning is More Robust to Dataset Imbalance	Unknown	PDF	N/A
Contrastive Clustering to Mine Pseudo Parallel Data for Unsupervised Translation	Unknown	PDF	N/A
A fast and accurate splitting method for optimal transport: analysis and implementation	Unknown	PDF	N/A
Task-Induced Representation Learning	Unknown	PDF	N/A
Triangle and Four Cycle Counting with Predictions in Graph Streams	Unknown	PDF	N/A
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods	Unknown	PDF	N/A
How unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis	Unknown	PDF	N/A
Expressiveness and Approximation Properties of Graph Neural Networks	Unknown	PDF	N/A
How to deal with missing data in supervised deep learning?	Unknown	PDF	N/A
Possibility Before Utility: Learning And Using Hierarchical Affordances	Unknown	PDF	N/A
Autoregressive Diffusion Models	Unknown	PDF	N/A
Expressivity of Emergent Languages is a Trade-off between Contextual Complexity and Unpredictability	Unknown	PDF	N/A
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game	Unknown	PDF	N/A
Fast Regression for Structured Inputs	Unknown	PDF	N/A
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees	Unknown	PDF	N/A
Learning Long-Term Reward Redistribution via Randomized Return Decomposition	Unknown	PDF	N/A
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks	Unknown	PDF	N/A
Learning Strides in Convolutional Neural Networks	Unknown	PDF	N/A
Data-Efficient Graph Grammar Learning for Molecular Generation	Unknown	PDF	N/A
Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect	Unknown	PDF	N/A
Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation	Unknown	PDF	N/A
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications	Unknown	PDF	N/A
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity	Unknown	PDF	N/A
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality	Unknown	PDF	N/A
Explaining Point Processes by Learning Interpretable Temporal Logic Rules	Unknown	PDF	N/A
On Evaluation Metrics for Graph Generative Models	Unknown	PDF	N/A
Probabilistic Implicit Scene Completion	Unknown	PDF	N/A
Training Structured Neural Networks Through Manifold Identification and Variance Reduction	Unknown	PDF	N/A
Natural Language Descriptions of Deep Features	Unknown	PDF	N/A
Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining	Unknown	PDF	N/A
Learning Vision-Guided Quadrupedal Locomotion End-to-End with Cross-Modal Transformers	Unknown	PDF	N/A
Visual Representation Learning Does Not Generalize Strongly Within the Same Domain	Unknown	PDF	N/A
miniF2F: a cross-system benchmark for formal Olympiad-level mathematics	Unknown	PDF	N/A
Controlling Directions Orthogonal to a Classifier	Unknown	PDF	N/A
Pareto Policy Pool for Model-based Offline Reinforcement Learning	Unknown	PDF	N/A
Learning a subspace of policies for online adaptation in Reinforcement Learning	Unknown	PDF	N/A
Neural Parameter Allocation Search	Unknown	PDF	N/A
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training	Unknown	PDF	N/A
Fair Normalizing Flows	Unknown	PDF	N/A
Self-Joint Supervised Learning	Unknown	PDF	N/A
BiBERT: Accurate Fully Binarized BERT	Unknown	PDF	N/A
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning	Unknown	PDF	N/A
An Unconstrained Layer-Peeled Perspective on Neural Collapse	Unknown	PDF	N/A
Hierarchical Variational Memory for Few-shot Learning Across Domains	Unknown	PDF	N/A
Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption	Unknown	PDF	N/A
What Happens after SGD Reaches Zero Loss? --A Mathematical Framework	Unknown	PDF	N/A
Symbolic Learning to Optimize: Towards Interpretability and Scalability	Unknown	PDF	N/A
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior	Unknown	PDF	N/A
Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions	Unknown	PDF	N/A
Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting	Unknown	PDF	N/A
Improving Non-Autoregressive Translation Models Without Distillation	Unknown	PDF	N/A
Evaluating Disentanglement of Structured Representations	Unknown	PDF	N/A
Sqrt(d) Dimension Dependence of Langevin Monte Carlo	Unknown	PDF	N/A
Neural Solvers for Fast and Accurate Numerical Optimal Control	Unknown	PDF	N/A
Comparing Distributions by Measuring Differences that Affect Decision Making	Unknown	PDF	N/A
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation	Unknown	PDF	N/A
Score-Based Generative Modeling with Critically-Damped Langevin Diffusion	Unknown	PDF	N/A
Learning by Directional Gradient Descent	Unknown	PDF	N/A
Spatial Graph Attention and Curiosity-driven Policy for Antiviral Drug Discovery	Unknown	PDF	N/A
An Information Fusion Approach to Learning with Instance-Dependent Label Noise	Unknown	PDF	N/A
Joint Shapley values: a measure of joint feature importance	Unknown	PDF	N/A
Weighted Training for Cross-Task Learning	Unknown	PDF	N/A
Adversarial Unlearning of Backdoors via Implicit Hypergradient	Unknown	PDF	N/A
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization	Unknown	PDF	N/A
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space	Unknown	PDF	N/A
Learning Representation from Neural Fisher Kernel with Low-rank Approximation	Unknown	PDF	N/A
Actor-critic is implicitly biased towards high entropy optimal policies	Unknown	PDF	N/A
Self-Supervised Inference in State-Space Models	Unknown	PDF	N/A
Overcoming The Spectral Bias of Neural Value Approximation	Unknown	PDF	N/A
Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property	Unknown	PDF	N/A
IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes	Unknown	PDF	N/A
Learning to Extend Molecular Scaffolds with Structural Motifs	Unknown	PDF	N/A
Lossless Compression with Probabilistic Circuits	Unknown	PDF	N/A
SGD Can Converge to Local Maxima	Unknown	PDF	N/A
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings	Unknown	PDF	N/A
Meta-Imitation Learning by Watching Video Demonstrations	Unknown	PDF	N/A
WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection	Unknown	PDF	N/A
Differentiable DAG Sampling	Unknown	PDF	N/A
Hyperparameter Tuning with Renyi Differential Privacy	Unknown	PDF	N/A
Understanding approximate and unrolled dictionary learning for pattern recovery	Unknown	PDF	N/A
Constraining Linear-chain CRFs to Regular Languages	Unknown	PDF	N/A
Conditional Contrastive Learning with Kernel	Unknown	PDF	N/A
Evading Adversarial Example Detection Defenses with Orthogonal Projected Gradient Descent	Unknown	PDF	N/A
Imitation Learning by Reinforcement Learning	Unknown	PDF	N/A
Multi-Agent MDP Homomorphic Networks	Unknown	PDF	N/A
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation	Unknown	PDF	N/A
Nonlinear ICA Using Volume-Preserving Transformations	Unknown	PDF	N/A
Online Hyperparameter Meta-Learning with Hypergradient Distillation	Unknown	PDF	N/A
Relating transformers to models and neural representations of the hippocampal formation	Unknown	PDF	N/A
Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions	Unknown	PDF	N/A
Bayesian Neural Network Priors Revisited	Unknown	PDF	N/A
AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies	Unknown	PDF	N/A
Procedural generalization by planning with self-supervised world models	Unknown	PDF	N/A
EigenGame Unloaded: When playing games is better than optimizing	Unknown	PDF	N/A
End-to-End Learning of Probabilistic Hierarchies on Graphs	Unknown	PDF	N/A
Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks	Unknown	PDF	N/A
Dropout Q-Functions for Doubly Efficient Reinforcement Learning	Unknown	PDF	N/A
Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection	Unknown	PDF	N/A
DeSKO: Stability-Assured Robust Control with a Deep Stochastic Koopman Operator	Unknown	PDF	N/A
Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space	Unknown	PDF	N/A
On the Optimal Memorization Power of ReLU Neural Networks	Unknown	PDF	N/A
Model Agnostic Interpretability for Multiple Instance Learning	Unknown	PDF	N/A
GNN-LM: Language Modeling based on Global Contexts via GNN	Unknown	PDF	N/A
Fast Generic Interaction Detection for Model Interpretability and Compression	Unknown	PDF	N/A
Towards Understanding the Data Dependency of Mixup-style Training	Unknown	PDF	N/A
DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting	Unknown	PDF	N/A
Safe Neurosymbolic Learning with Differentiable Symbolic Execution	Unknown	PDF	N/A
Gradient Importance Learning for Incomplete Observations	Unknown	PDF	N/A
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease	Unknown	PDF	N/A
Equivariant Subgraph Aggregation Networks	Unknown	PDF	N/A
CoBERL: Contrastive BERT for Reinforcement Learning	Unknown	PDF	N/A
Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs	Unknown	PDF	N/A
Unsupervised Disentanglement with Tensor Product Representations on the Torus	Unknown	PDF	N/A
Multi-Mode Deep Matrix and Tensor Factorization	Unknown	PDF	N/A
Zero-Shot Self-Supervised Learning for MRI Reconstruction	Unknown	PDF	N/A
NASPY: Automated Extraction of Automated Machine Learning Models	Unknown	PDF	N/A
LEARNING GUARANTEES FOR GRAPH CONVOLUTIONAL NETWORKS ON THE STOCHASTIC BLOCK MODEL	Unknown	PDF	N/A
Should I Run Offline Reinforcement Learning or Behavioral Cloning?	Unknown	PDF	N/A
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention	Unknown	PDF	N/A
Learning Features with Parameter-Free Layers	Unknown	PDF	N/A
Multi-Critic Actor Learning: Teaching RL Policies to Act with Style	Unknown	PDF	N/A
GradMax: Growing Neural Networks using Gradient Information	Unknown	PDF	N/A
Critical Points in Quantum Generative Models	Unknown	PDF	N/A
ComPhy: Compositional Physical Reasoning of Objects and Events from Videos	Unknown	PDF	N/A
Transferable Adversarial Attack based on Integrated Gradients	Unknown	PDF	N/A
DKM: Differentiable k-Means Clustering Layer for Neural Network Compression	Unknown	PDF	N/A
Scale Mixtures of Neural Network Gaussian Processes	Unknown	PDF	N/A
Reward Uncertainty for Exploration in Preference-based Reinforcement Learning	Unknown	PDF	N/A
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains	Unknown	PDF	N/A
Policy Smoothing for Provably Robust Reinforcement Learning	Unknown	PDF	N/A
FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes	Unknown	PDF	N/A
CKConv: Continuous Kernel Convolution For Sequential Data	Unknown	PDF	N/A
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation	Unknown	PDF	N/A
On the Convergence of Certified Robust Training with Interval Bound Propagation	Unknown	PDF	N/A
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL	Unknown	PDF	N/A
Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models	Unknown	PDF	N/A
On Distributed Adaptive Optimization with Gradient Compression	Unknown	PDF	N/A
Sequence Approximation using Feedforward Spiking Neural Network for Spatiotemporal Learning: Theory and Optimization Methods	Unknown	PDF	N/A
Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning	Unknown	PDF	N/A
Salient ImageNet: How to discover spurious features in Deep Learning?	Unknown	PDF	N/A
Differentiable Expectation-Maximization for Set Representation Learning	Unknown	PDF	N/A
Offline Reinforcement Learning with Implicit Q-Learning	Unknown	PDF	N/A
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks	Unknown	PDF	N/A

ICLR 2023

Title	Author	PDF_Link	Code_URL
Contrastive Audio-Visual Masked Autoencoder	Unknown	PDF	N/A
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes	Unknown	PDF	N/A
Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks	Unknown	PDF	N/A
Statistical Guarantees for Consensus Clustering	Unknown	PDF	N/A
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective	Unknown	PDF	N/A
Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning	Unknown	PDF	N/A
Humanly Certifying Superhuman Classifiers	Unknown	PDF	N/A
Write and Paint: Generative Vision-Language Models are Unified Modal Learners	Unknown	PDF	N/A
A law of adversarial risk, interpolation, and label noise	Unknown	PDF	N/A
Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets	Unknown	PDF	N/A
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity	Unknown	PDF	N/A
Amortised Invariance Learning for Contrastive Self-Supervision	Unknown	PDF	N/A
Expressive Monotonic Neural Networks	Unknown	PDF	N/A
In-sample Actor Critic for Offline Reinforcement Learning	Unknown	PDF	N/A
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks	Unknown	PDF	N/A
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection	Unknown	PDF	N/A
CktGNN: Circuit Graph Neural Network for Electronic Design Automation	Unknown	PDF	N/A
Jointly Learning Visual and Auditory Speech Representations from Raw Data	Unknown	PDF	N/A
Collaborative Pure Exploration in Kernel Bandit	Unknown	PDF	N/A
Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD	Unknown	PDF	N/A
DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION	Unknown	PDF	N/A
Priors, Hierarchy, and Information Asymmetry for Skill Transfer in Reinforcement Learning	Unknown	PDF	N/A
Provable Sim-to-real Transfer in Continuous Domain with Partial Observations	Unknown	PDF	N/A
Diagnosing and Rectifying Vision Models using Language	Unknown	PDF	N/A
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path	Unknown	PDF	N/A
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game	Unknown	PDF	N/A
DensePure: Understanding Diffusion Models for Adversarial Robustness	Unknown	PDF	N/A
Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling	Unknown	PDF	N/A
Learning ReLU networks to high uniform accuracy is intractable	Unknown	PDF	N/A
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models	Unknown	PDF	N/A
Budgeted Training for Vision Transformer	Unknown	PDF	N/A
Hyperbolic Deep Reinforcement Learning	Unknown	PDF	N/A
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization	Unknown	PDF	N/A
Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms	Unknown	PDF	N/A
Sequential Gradient Coding For Straggler Mitigation	Unknown	PDF	N/A
How gradient estimator variance and bias impact learning in neural networks	Unknown	PDF	N/A
TempCLR: Temporal Alignment Representation with Contrastive Learning	Unknown	PDF	N/A
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian	Unknown	PDF	N/A
Distilling Model Failures as Directions in Latent Space	Unknown	PDF	N/A
Equivariant Hypergraph Diffusion Neural Operators	Unknown	PDF	N/A
Learning to Grow Pretrained Models for Efficient Transformer Training	Unknown	PDF	N/A
Is Attention All That NeRF Needs?	Unknown	PDF	N/A
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes	Unknown	PDF	N/A
Function-space regularized Rényi divergences	Unknown	PDF	N/A
Finding the Global Semantic Representation in GAN through Fréchet Mean	Unknown	PDF	N/A
DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics	Unknown	PDF	N/A
Effective passive membership inference attacks in federated learning against overparameterized models	Unknown	PDF	N/A
CoRTX: Contrastive Framework for Real-time Explanation	Unknown	PDF	N/A
Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning	Unknown	PDF	N/A
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games	Unknown	PDF	N/A
Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions	Unknown	PDF	N/A
Moderate Coreset: A Universal Method of Data Selection for Real-world Data-efficient Deep Learning	Unknown	PDF	N/A
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style	Unknown	PDF	N/A
Using Language to Extend to Unseen Domains	Unknown	PDF	N/A
A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond	Unknown	PDF	N/A
Softened Symbol Grounding for Neuro-symbolic Systems	Unknown	PDF	N/A
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions	Unknown	PDF	N/A
Logical Message Passing Networks with One-hop Inference on Atomic Formulas	Unknown	PDF	N/A
Transformers Learn Shortcuts to Automata	Unknown	PDF	N/A
Noise-Robust De-Duplication at Scale	Unknown	PDF	N/A
Guiding Energy-based Models via Contrastive Latent Variables	Unknown	PDF	N/A
Equivariance-aware Architectural Optimization of Neural Networks	Unknown	PDF	N/A
Information Plane Analysis for Dropout Neural Networks	Unknown	PDF	N/A
UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining	Unknown	PDF	N/A
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning	Unknown	PDF	N/A
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables	Unknown	PDF	N/A
HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings	Unknown	PDF	N/A
Improved Learning-augmented Algorithms for k-means and k-medians Clustering	Unknown	PDF	N/A
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer	Unknown	PDF	N/A
Does Deep Learning Learn to Abstract? A Systematic Probing Framework	Unknown	PDF	N/A
RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates	Unknown	PDF	N/A
GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure	Unknown	PDF	N/A
Quantized Compressed Sensing with Score-Based Generative Models	Unknown	PDF	N/A
Latent Neural ODEs with Sparse Bayesian Multiple Shooting	Unknown	PDF	N/A
$\mathcal{O}$-GNN: incorporating ring priors into molecular modeling	Unknown	PDF	N/A
Characterizing the spectrum of the NTK via a power series expansion	Unknown	PDF	N/A
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability	Unknown	PDF	N/A
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data	Unknown	PDF	N/A
Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design	Unknown	PDF	N/A
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation	Unknown	PDF	N/A
$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks	Unknown	PDF	N/A
Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms	Unknown	PDF	N/A
Learning to Induce Causal Structure	Unknown	PDF	N/A
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs	Unknown	PDF	N/A
Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits	Unknown	PDF	N/A
Online Boundary-Free Continual Learning by Scheduled Data Prior	Unknown	PDF	N/A
A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance	Unknown	PDF	N/A
Bidirectional Language Models Are Also Few-shot Learners	Unknown	PDF	N/A
Delving into Semantic Scale Imbalance	Unknown	PDF	N/A
On the Trade-Off between Actionable Explanations and the Right to be Forgotten	Unknown	PDF	N/A
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition	Unknown	PDF	N/A
Continuous-time identification of dynamic state-space models by deep subspace encoding	Unknown	PDF	N/A
AE-FLOW: Autoencoders with Normalizing Flows for Medical Images Anomaly Detection	Unknown	PDF	N/A
SpeedyZero: Mastering Atari with Limited Data and Time	Unknown	PDF	N/A
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse	Unknown	PDF	N/A
Sampling-based inference for large linear models, with application to linearised Laplace	Unknown	PDF	N/A
Constructive TT-representation of the tensors given as index interaction functions with applications	Unknown	PDF	N/A
Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data	Unknown	PDF	N/A
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function	Unknown	PDF	N/A
Lossless Adaptation of Pretrained Vision Models For Robotic Manipulation	Unknown	PDF	N/A
Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors	Unknown	PDF	N/A
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning	Unknown	PDF	N/A
Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision	Unknown	PDF	N/A
Variational Information Pursuit for Interpretable Predictions	Unknown	PDF	N/A
DiffusER: Diffusion via Edit-based Reconstruction	Unknown	PDF	N/A
Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation	Unknown	PDF	N/A
One-Pixel Shortcut: On the Learning Preference of Deep Neural Networks	Unknown	PDF	N/A
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization	Unknown	PDF	N/A
Boosting Causal Discovery via Adaptive Sample Reweighting	Unknown	PDF	N/A
Inequality phenomenon in $l_{\infty}$-adversarial training, and its unrealized threats	Unknown	PDF	N/A
Understanding weight-magnitude hyperparameters in training binary networks	Unknown	PDF	N/A
GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis	Unknown	PDF	N/A
Copy is All You Need	Unknown	PDF	N/A
Grounding Graph Network Simulators using Physical Sensor Observations	Unknown	PDF	N/A
Predictive Inference with Feature Conformal Prediction	Unknown	PDF	N/A
The Curious Case of Benign Memorization	Unknown	PDF	N/A
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference	Unknown	PDF	N/A
Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection	Unknown	PDF	N/A
Guiding continuous operator learning through Physics-based boundary constraints	Unknown	PDF	N/A
Preference Transformer: Modeling Human Preferences using Transformers for RL	Unknown	PDF	N/A
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval	Unknown	PDF	N/A
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication	Unknown	PDF	N/A
An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation	Unknown	PDF	N/A
A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming	Unknown	PDF	N/A
On Explaining Neural Network Robustness with Activation Path	Unknown	PDF	N/A
Liquid Structural State-Space Models	Unknown	PDF	N/A
Approximate Vanishing Ideal Computations at Scale	Unknown	PDF	N/A
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization	Unknown	PDF	N/A
Empowering Graph Representation Learning with Test-Time Graph Transformation	Unknown	PDF	N/A
A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy	Unknown	PDF	N/A
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training	Unknown	PDF	N/A
Personalized Reward Learning with Interaction-Grounded Learning (IGL)	Unknown	PDF	N/A
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing	Unknown	PDF	N/A
Defending against Adversarial Audio via Diffusion Model	Unknown	PDF	N/A
Unsupervised Learning for Combinatorial Optimization Needs Meta Learning	Unknown	PDF	N/A
Revisit Finetuning strategy for Few-Shot Learning to Transfer the Emdeddings	Unknown	PDF	N/A
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image	Unknown	PDF	N/A
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks	Unknown	PDF	N/A
LDMIC: Learning-based Distributed Multi-view Image Coding	Unknown	PDF	N/A
Riemannian Metric Learning via Optimal Transport	Unknown	PDF	N/A
Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning	Unknown	PDF	N/A
$\mathscr{N}$-WL: A New Hierarchy of Expressivity for Graph Neural Networks	Unknown	PDF	N/A
Learning Input-agnostic Manipulation Directions in StyleGAN with Text Guidance	Unknown	PDF	N/A
DAVA: Disentangling Adversarial Variational Autoencoder	Unknown	PDF	N/A
Test-Time Adaptation via Self-Training with Nearest Neighbor Information	Unknown	PDF	N/A
InCoder: A Generative Model for Code Infilling and Synthesis	Unknown	PDF	N/A
Artificial Neuronal Ensembles with Learned Context Dependent Gating	Unknown	PDF	N/A
A General Rank Preserving Framework for Asymmetric Image Retrieval	Unknown	PDF	N/A
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models	Unknown	PDF	N/A
Can discrete information extraction prompts generalize across language models?	Unknown	PDF	N/A
Score-based Continuous-time Discrete Diffusion Models	Unknown	PDF	N/A
Any-scale Balanced Samplers for Discrete Space	Unknown	PDF	N/A
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms	Unknown	PDF	N/A
Reliability of CKA as a Similarity Measure in Deep Learning	Unknown	PDF	N/A
When and Why Vision-Language Models Behave like Bags-Of-Words, and What to Do About It?	Unknown	PDF	N/A
Order Matters: Agent-by-agent Policy Optimization	Unknown	PDF	N/A
FastFill: Efficient Compatible Model Update	Unknown	PDF	N/A
Mind the Pool: Convolutional Neural Networks Can Overfit Input Size	Unknown	PDF	N/A
DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable Pipeline	Unknown	PDF	N/A
Transformer-based World Models Are Happy With 100k Interactions	Unknown	PDF	N/A
Differentiable Mathematical Programming for Object-Centric Representation Learning	Unknown	PDF	N/A
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors	Unknown	PDF	N/A
Scalable Subset Sampling with Neural Conditional Poisson Networks	Unknown	PDF	N/A
Benchmarking Offline Reinforcement Learning on Real-Robot Hardware	Unknown	PDF	N/A
A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis	Unknown	PDF	N/A
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization	Unknown	PDF	N/A
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution	Unknown	PDF	N/A
LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence	Unknown	PDF	N/A
Neural-based classification rule learning for sequential data	Unknown	PDF	N/A
ODAM: Gradient-based Instance-Specific Visual Explanations for Object Detection	Unknown	PDF	N/A
Learning with Auxiliary Activation for Memory-Efficient Training	Unknown	PDF	N/A
Policy-Based Self-Competition for Planning Problems	Unknown	PDF	N/A
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy	Unknown	PDF	N/A
Kernel Neural Optimal Transport	Unknown	PDF	N/A
Neural Optimal Transport	Unknown	PDF	N/A
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small	Unknown	PDF	N/A
Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data	Unknown	PDF	N/A
Teacher Guided Training: An Efficient Framework for Knowledge Transfer	Unknown	PDF	N/A
Measure the Predictive Heterogeneity	Unknown	PDF	N/A
Provable Defense Against Geometric Transformations	Unknown	PDF	N/A
Tensor-Based Sketching Method for the Low-Rank Approximation of Data Streams.	Unknown	PDF	N/A
Data augmentation alone can improve adversarial training	Unknown	PDF	N/A
CUTS: Neural Causal Discovery from Irregular Time-Series Data	Unknown	PDF	N/A
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification	Unknown	PDF	N/A
Valid P-Value for Deep Learning-driven Salient Region	Unknown	PDF	N/A
Pitfalls of Gaussians as a noise distribution in NCE	Unknown	PDF	N/A
Broken Neural Scaling Laws	Unknown	PDF	N/A
Bridging the Gap between ANNs and SNNs by Calibrating Offset Spikes	Unknown	PDF	N/A
Visually-Augmented Language Modeling	Unknown	PDF	N/A
A VAE for Transformers with Nonparametric Variational Information Bottleneck	Unknown	PDF	N/A
A theoretical study of inductive biases in contrastive learning	Unknown	PDF	N/A
Minimum Variance Unbiased N:M Sparsity for the Neural Gradients	Unknown	PDF	N/A
Incremental Learning of Structured Memory via Closed-Loop Transcription	Unknown	PDF	N/A
Explaining Temporal Graph Models through an Explorer-Navigator Framework	Unknown	PDF	N/A
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning	Unknown	PDF	N/A
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models	Unknown	PDF	N/A
What Do Self-Supervised Vision Transformers Learn?	Unknown	PDF	N/A
Benchmarking Constraint Inference in Inverse Reinforcement Learning	Unknown	PDF	N/A
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Physical Systems	Unknown	PDF	N/A
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret	Unknown	PDF	N/A
Sampling-free Inference for Ab-Initio Potential Energy Surface Networks	Unknown	PDF	N/A
That Label's got Style: Handling Label Style Bias for Uncertain Image Segmentation	Unknown	PDF	N/A
On The Relative Error of Random Fourier Features for Preserving Kernel Distance	Unknown	PDF	N/A
Towards Inferential Reproducibility of Machine Learning Research	Unknown	PDF	N/A
Beyond calibration: estimating the grouping loss of modern neural networks	Unknown	PDF	N/A
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing	Unknown	PDF	N/A
Weighted Clock Logic Point Process	Unknown	PDF	N/A
Squeeze Training for Adversarial Robustness	Unknown	PDF	N/A
Asymptotic Instance-Optimal Algorithms for Interactive Decision Making	Unknown	PDF	N/A
Is Forgetting Less a Good Inductive Bias for Forward Transfer?	Unknown	PDF	N/A
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation	Unknown	PDF	N/A
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning	Unknown	PDF	N/A
Long-Tailed Partial Label Learning via Dynamic Rebalancing	Unknown	PDF	N/A
Global Explainability of GNNs via Logic Combination of Learned Concepts	Unknown	PDF	N/A
Task Ambiguity in Humans and Language Models	Unknown	PDF	N/A
Discrete Predictor-Corrector Diffusion Models for Image Synthesis	Unknown	PDF	N/A
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning	Unknown	PDF	N/A
More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization	Unknown	PDF	N/A
PerFedMask: Personalized Federated Learning with Optimized Masking Vectors	Unknown	PDF	N/A
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks	Unknown	PDF	N/A
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier	Unknown	PDF	N/A
On Compositional Uncertainty Quantification for Seq2seq Graph Parsing	Unknown	PDF	N/A
Free Lunch for Domain Adversarial Training: Environment Label Smoothing	Unknown	PDF	N/A
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning	Unknown	PDF	N/A
Brain-like representational straightening of natural movies in robust feedforward neural networks	Unknown	PDF	N/A
A Simple Approach for Visual Room Rearrangement: 3D Mapping and Semantic Search	Unknown	PDF	N/A
Generative Modeling Helps Weak Supervision (and Vice Versa)	Unknown	PDF	N/A
Federated Learning from Small Datasets	Unknown	PDF	N/A
Multi-level Protein Structure Pre-training via Prompt Learning	Unknown	PDF	N/A
PD-MORL: Preference-Driven Multi-Objective Reinforcement Learning Algorithm	Unknown	PDF	N/A
A Mixture-of-Expert Approach to RL-based Dialogue Management	Unknown	PDF	N/A
M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation	Unknown	PDF	N/A
Dichotomy of Control: Separating What You Can Control from What You Cannot	Unknown	PDF	N/A
Re-calibrating Feature Attributions for Model Interpretation	Unknown	PDF	N/A
Revisiting Populations in multi-agent Communication	Unknown	PDF	N/A
Learning multi-scale local conditional probability models of images	Unknown	PDF	N/A
Characterizing the Influence of Graph Elements	Unknown	PDF	N/A
Disentangling Learning Representations with Density Estimation	Unknown	PDF	N/A
Simple and Scalable Nearest Neighbor Machine Translation	Unknown	PDF	N/A
Language Models Can Teach Themselves to Program Better	Unknown	PDF	N/A
What Is Missing in IRM Training and Evaluation? Challenges and Solutions	Unknown	PDF	N/A
A Differential Geometric View and Explainability of GNN on Evolving Graphs	Unknown	PDF	N/A
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization	Unknown	PDF	N/A
Consolidator: Mergable Adapter with Group Connections for Visual Adaptation	Unknown	PDF	N/A
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot Classification	Unknown	PDF	N/A
Continuous PDE Dynamics Forecasting with Implicit Neural Representations	Unknown	PDF	N/A
Transfer NAS with Meta-learned Bayesian Surrogates	Unknown	PDF	N/A
Hierarchical Sliced Wasserstein Distance	Unknown	PDF	N/A
Supervision Complexity and its Role in Knowledge Distillation	Unknown	PDF	N/A
LipsFormer: Introducing Lipschitz Continuity to Vision Transformers	Unknown	PDF	N/A
Automatic Chain of Thought Prompting in Large Language Models	Unknown	PDF	N/A
Near-Optimal Adversarial Reinforcement Learning with Switching Costs	Unknown	PDF	N/A
Federated Nearest Neighbor Machine Translation	Unknown	PDF	N/A
Language Models are Realistic Tabular Data Generators	Unknown	PDF	N/A
Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning	Unknown	PDF	N/A
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization	Unknown	PDF	N/A
Data Valuation Without Training of a Model	Unknown	PDF	N/A
Words are all you need? Language as an approximation for human similarity judgments	Unknown	PDF	N/A
Link Prediction with Non-Contrastive Learning	Unknown	PDF	N/A
Impossibly Good Experts and How to Follow Them	Unknown	PDF	N/A
Scaling Laws For Deep Learning Based Image Reconstruction	Unknown	PDF	N/A
Equal Improvability: A New Fairness Notion Considering the Long-term Impact	Unknown	PDF	N/A
Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication	Unknown	PDF	N/A
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent	Unknown	PDF	N/A
Hyperparameter Optimization through Neural Network Partitioning	Unknown	PDF	N/A
Proto-Value Networks: Scaling Representation Learning with Auxiliary Tasks	Unknown	PDF	N/A
Image to Sphere: Learning Equivariant Features for Efficient Pose Prediction	Unknown	PDF	N/A
NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis	Unknown	PDF	N/A
Sequential Attention for Feature Selection	Unknown	PDF	N/A
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts	Unknown	PDF	N/A
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs	Unknown	PDF	N/A
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning	Unknown	PDF	N/A
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor	Unknown	PDF	N/A
Re-Imagen: Retrieval-Augmented Text-to-Image Generator	Unknown	PDF	N/A
Towards Robustness Certification Against Universal Perturbations	Unknown	PDF	N/A
Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints	Unknown	PDF	N/A
Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets	Unknown	PDF	N/A
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?	Unknown	PDF	N/A
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork	Unknown	PDF	N/A
Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance	Unknown	PDF	N/A
PiFold: Toward effective and efficient protein inverse folding	Unknown	PDF	N/A
Capturing the Motion of Every Joint: 3D Human Pose and Shape Estimation with Independent Tokens	Unknown	PDF	N/A
Mind the Gap: Offline Policy Optimization for Imperfect Rewards	Unknown	PDF	N/A
Autoregressive Conditional Neural Processes	Unknown	PDF	N/A
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement	Unknown	PDF	N/A
Bias Propagation in Federated Learning	Unknown	PDF	N/A
Make-A-Video: Text-to-Video Generation without Text-Video Data	Unknown	PDF	N/A
kNN-Diffusion: Image Generation via Large-Scale Retrieval	Unknown	PDF	N/A
AudioGen: Textually Guided Audio Generation	Unknown	PDF	N/A
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability	Unknown	PDF	N/A
Is a Caption Worth a Thousand Images? A Study on Representation Learning	Unknown	PDF	N/A
Almost Linear Constant-Factor Sketching for $\ell_1$ and Logistic Regression	Unknown	PDF	N/A
Concept Gradient: Concept-based Interpretation Without Linear Assumption	Unknown	PDF	N/A
Neural Networks Efficiently Learn Low-Dimensional Representations with SGD	Unknown	PDF	N/A
Neural Agents Struggle to Take Turns in Bidirectional Emergent Communication	Unknown	PDF	N/A
Complexity-Based Prompting for Multi-step Reasoning	Unknown	PDF	N/A
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees	Unknown	PDF	N/A
Human-Guided Fair Classification for Natural Language Processing	Unknown	PDF	N/A
An Adaptive Policy to Employ Sharpness-Aware Minimization	Unknown	PDF	N/A
NTK-SAP: Improving neural network pruning by aligning training dynamics	Unknown	PDF	N/A
Revisiting the Assumption of Latent Separability for Backdoor Defenses	Unknown	PDF	N/A
Holistic Adversarially Robust Pruning	Unknown	PDF	N/A
Restricted Strong Convexity of Deep Learning Models with Smooth Activations	Unknown	PDF	N/A
TVSPrune - Pruning Non-discriminative filters via Total Variation separability of intermediate representations without fine tuning	Unknown	PDF	N/A
DFPC: Data flow driven pruning of coupled channels without data.	Unknown	PDF	N/A
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning	Unknown	PDF	N/A
Minimum Description Length Control	Unknown	PDF	N/A
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection	Unknown	PDF	N/A
Part-Based Models Improve Adversarial Robustness	Unknown	PDF	N/A
Basic Binary Convolution Unit for Binarized Image Restoration Network	Unknown	PDF	N/A
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution	Unknown	PDF	N/A
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel	Unknown	PDF	N/A
Hybrid RL: Using both offline and online data can make RL efficient	Unknown	PDF	N/A
Become a Proficient Player with Limited Data through Watching Pure Videos	Unknown	PDF	N/A
Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis	Unknown	PDF	N/A
Masked Frequency Modeling for Self-Supervised Visual Pre-Training	Unknown	PDF	N/A
On the Convergence of AdaGrad(Norm) on $\mathbb{R}^d$: Beyond Convexity, Non-Asymptotic Rate and Acceleration	Unknown	PDF	N/A
Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots	Unknown	PDF	N/A
Instance-wise Batch Label Restoration via Gradients in Federated Learning	Unknown	PDF	N/A
Truthful Self-Play	Unknown	PDF	N/A
Zeroth-Order Optimization with Trajectory-Informed Derivative Estimation	Unknown	PDF	N/A
Matching receptor to odorant with protein language and graph neural networks	Unknown	PDF	N/A
Decompositional Generation Process for Instance-Dependent Partial Label Learning	Unknown	PDF	N/A
A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps	Unknown	PDF	N/A
Investigating Multi-task Pretraining and Generalization in Reinforcement Learning	Unknown	PDF	N/A
Adversarial Imitation Learning with Preferences	Unknown	PDF	N/A
Simple Emergent Action Representations from Multi-Task Policy Training	Unknown	PDF	N/A
From $t$-SNE to UMAP with contrastive learning	Unknown	PDF	N/A
On the Importance and Applicability of Pre-Training for Federated Learning	Unknown	PDF	N/A
When to Make and Break Commitments?	Unknown	PDF	N/A
Gromov-Wasserstein Autoencoders	Unknown	PDF	N/A
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation	Unknown	PDF	N/A
Neural Episodic Control with State Abstraction	Unknown	PDF	N/A
The Surprising Computational Power of Nondeterministic Stack RNNs	Unknown	PDF	N/A
Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks	Unknown	PDF	N/A
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting	Unknown	PDF	N/A
Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning	Unknown	PDF	N/A
FedFA: Federated Feature Augmentation	Unknown	PDF	N/A
Efficient Planning in a Compact Latent Action Space	Unknown	PDF	N/A
SketchKnitter: Vectorized Sketch Generation with Diffusion Models	Unknown	PDF	N/A
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
On the Perils of Cascading Robust Classifiers	Unknown	PDF	N/A
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization	Unknown	PDF	N/A
FairGBM: Gradient Boosting with Fairness Constraints	Unknown	PDF	N/A
Efficient Model Updates for Approximate Unlearning of Graph-Structured Data	Unknown	PDF	N/A
Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?	Unknown	PDF	N/A
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification	Unknown	PDF	N/A
How I Learned to Stop Worrying and Love Retraining	Unknown	PDF	N/A
Malign Overfitting: Interpolation and Invariance are Fundamentally at Odds	Unknown	PDF	N/A
AGRO: Adversarial discovery of error-prone Groups for Robust Optimization	Unknown	PDF	N/A
Discovering Latent Knowledge in Language Models Without Supervision	Unknown	PDF	N/A
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors	Unknown	PDF	N/A
RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch	Unknown	PDF	N/A
Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths	Unknown	PDF	N/A
PGrad: Learning Principal Gradients For Domain Generalization	Unknown	PDF	N/A
Representational Dissimilarity Metric Spaces for Stochastic Neural Networks	Unknown	PDF	N/A
Anamnesic Neural Differential Equations with Orthogonal Polynomial Projections	Unknown	PDF	N/A
Neural Design for Genetic Perturbation Experiments	Unknown	PDF	N/A
Topology-aware Robust Optimization for Out-of-Distribution Generalization	Unknown	PDF	N/A
simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing	Unknown	PDF	N/A
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases	Unknown	PDF	N/A
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness	Unknown	PDF	N/A
Disentangling the Mechanisms Behind Implicit Regularization in SGD	Unknown	PDF	N/A
GLM-130B: An Open Bilingual Pre-trained Model	Unknown	PDF	N/A
DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems	Unknown	PDF	N/A
The Onset of Variance-Limited Behavior for Networks in the Lazy and Rich Regimes	Unknown	PDF	N/A
Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning	Unknown	PDF	N/A
Vision Transformer Adapter for Dense Predictions	Unknown	PDF	N/A
Learning Simultaneous Navigation and Construction in Grid Worlds	Unknown	PDF	N/A
GAIN: On the Generalization of Instructional Action Understanding	Unknown	PDF	N/A
Text Summarization with Oracle Expectation	Unknown	PDF	N/A
Learning Sparse Group Models Through Boolean Relaxation	Unknown	PDF	N/A
Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models	Unknown	PDF	N/A
TEMPERA: Test-Time Prompt Editing via Reinforcement Learning	Unknown	PDF	N/A
How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections	Unknown	PDF	N/A
Sample Complexity of Nonparametric Off-Policy Evaluation on Low-Dimensional Manifolds using Deep Networks	Unknown	PDF	N/A
Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment	Unknown	PDF	N/A
Representation Learning for Low-rank General-sum Markov Games	Unknown	PDF	N/A
Deep Reinforcement Learning for Cost-Effective Medical Diagnosis	Unknown	PDF	N/A
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations	Unknown	PDF	N/A
Symmetries, Flat Minima, and the Conserved Quantities of Gradient Flow	Unknown	PDF	N/A
Noise Injection Node Regularization for Robust Learning	Unknown	PDF	N/A
Differentially Private $L_2$-Heavy Hitters in the Sliding Window Model	Unknown	PDF	N/A
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks	Unknown	PDF	N/A
Disparate Impact in Differential Privacy from Gradient Misalignment	Unknown	PDF	N/A
Few-Shot Domain Adaptation For End-to-End Communication	Unknown	PDF	N/A
Planckian Jitter: countering the color-crippling effects of color jitter on self-supervised training	Unknown	PDF	N/A
Calibrating Transformers via Sparse Gaussian Processes	Unknown	PDF	N/A
Associative Memory Augmented Asynchronous Spatiotemporal Representation Learning for Event-based Perception	Unknown	PDF	N/A
ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency	Unknown	PDF	N/A
SAM as an Optimal Relaxation of Bayes	Unknown	PDF	N/A
The Dark Side of AutoML: Towards Architectural Backdoor Search	Unknown	PDF	N/A
ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation	Unknown	PDF	N/A
BrainBERT: Self-supervised representation learning for intracranial recordings	Unknown	PDF	N/A
Flow Matching for Generative Modeling	Unknown	PDF	N/A
Guiding Safe Exploration with Weakest Preconditions	Unknown	PDF	N/A
Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time	Unknown	PDF	N/A
Causal Estimation for Text Data with (Apparent) Overlap Violations	Unknown	PDF	N/A
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions	Unknown	PDF	N/A
TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization	Unknown	PDF	N/A
Hungry Hungry Hippos: Towards Language Modeling with State Space Models	Unknown	PDF	N/A
Understanding new tasks through the lens of training data via exponential tilting	Unknown	PDF	N/A
Perfectly Secure Steganography Using Minimum Entropy Coupling	Unknown	PDF	N/A
Predictor-corrector algorithms for stochastic optimization under gradual distribution shift	Unknown	PDF	N/A
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification	Unknown	PDF	N/A
FunkNN: Neural Interpolation for Functional Generation	Unknown	PDF	N/A
Continual Pre-training of Language Models	Unknown	PDF	N/A
Accelerated Single-Call Methods for Constrained Min-Max Optimization	Unknown	PDF	N/A
MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models	Unknown	PDF	N/A
Lower Bounds on the Depth of Integral ReLU Neural Networks via Lattice Polytopes	Unknown	PDF	N/A
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions	Unknown	PDF	N/A
Learning to CROSS exchange to solve min-max vehicle routing problems	Unknown	PDF	N/A
Evolving Populations of Diverse RL Agents with MAP-Elites	Unknown	PDF	N/A
Equivariant Descriptor Fields: SE(3)-Equivariant Energy-Based Models for End-to-End Visual Robotic Manipulation Learning	Unknown	PDF	N/A
PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs	Unknown	PDF	N/A
Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation	Unknown	PDF	N/A
Learning Adversarial Linear Mixture Markov Decision Processes with Bandit Feedback and Unknown Transition	Unknown	PDF	N/A
The In-Sample Softmax for Offline Reinforcement Learning	Unknown	PDF	N/A
Compositional Law Parsing with Latent Random Functions	Unknown	PDF	N/A
Reversible Column Networks	Unknown	PDF	N/A
Robust Algorithms on Adaptive Inputs from Bounded Adversaries	Unknown	PDF	N/A
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning	Unknown	PDF	N/A
Transformers are Sample-Efficient World Models	Unknown	PDF	N/A
Towards Minimax Optimal Reward-free Reinforcement Learning in Linear MDPs	Unknown	PDF	N/A
Robust Explanation Constraints for Neural Networks	Unknown	PDF	N/A
Domain Generalization via Heckman-type Selection Models	Unknown	PDF	N/A
Quasi-optimal Reinforcement Learning with Continuous Actions	Unknown	PDF	N/A
Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses	Unknown	PDF	N/A
Agree to Disagree: Diversity through Disagreement for Better Transferability	Unknown	PDF	N/A
Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks	Unknown	PDF	N/A
Strong inductive biases provably prevent harmless interpolation	Unknown	PDF	N/A
Parametrizing Product Shape Manifolds by Composite Networks	Unknown	PDF	N/A
Quantifying and Mitigating the Impact of Label Errors on Model Disparity Metrics	Unknown	PDF	N/A
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework	Unknown	PDF	N/A
Hidden Markov Transformer for Simultaneous Machine Translation	Unknown	PDF	N/A
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting	Unknown	PDF	N/A
Minimax Optimal Kernel Operator Learning via Multilevel Training	Unknown	PDF	N/A
MeshDiffusion: Score-based Generative 3D Mesh Modeling	Unknown	PDF	N/A
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length	Unknown	PDF	N/A
FaiREE: fair classification with finite-sample and distribution-free guarantee	Unknown	PDF	N/A
On the duality between contrastive and non-contrastive self-supervised learning	Unknown	PDF	N/A
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations	Unknown	PDF	N/A
Emergence of Maps in the Memories of Blind Navigation Agents	Unknown	PDF	N/A
Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching	Unknown	PDF	N/A
Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting	Unknown	PDF	N/A
Simplicial Hopfield networks	Unknown	PDF	N/A
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks	Unknown	PDF	N/A
Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection	Unknown	PDF	N/A
D4AM: A General Denoising Framework for Downstream Acoustic Models	Unknown	PDF	N/A
Finding Actual Descent Directions for Adversarial Training	Unknown	PDF	N/A
Interpretations of Domain Adaptations via Layer Variational Analysis	Unknown	PDF	N/A
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer	Unknown	PDF	N/A
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction	Unknown	PDF	N/A
Policy Expansion for Bridging Offline-to-Online Reinforcement Learning	Unknown	PDF	N/A
Mitigating Memorization of Noisy Labels via Regularization between Representations	Unknown	PDF	N/A
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning	Unknown	PDF	N/A
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model	Unknown	PDF	N/A
Planning Goals for Exploration	Unknown	PDF	N/A
DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity	Unknown	PDF	N/A
Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning	Unknown	PDF	N/A
AutoGT: Automated Graph Transformer Architecture Search	Unknown	PDF	N/A
Progress measures for grokking via mechanistic interpretability	Unknown	PDF	N/A
Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle	Unknown	PDF	N/A
Variance-Aware Sparse Linear Bandits	Unknown	PDF	N/A
Label-free Concept Bottleneck Models	Unknown	PDF	N/A
The Role of ImageNet Classes in Fréchet Inception Distance	Unknown	PDF	N/A
Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement	Unknown	PDF	N/A
Optimal Transport for Offline Imitation Learning	Unknown	PDF	N/A
Does Zero-Shot Reinforcement Learning Exist?	Unknown	PDF	N/A
A Self-Attention Ansatz for Ab-initio Quantum Chemistry	Unknown	PDF	N/A
A Neural Mean Embedding Approach for Back-door and Front-door Adjustment	Unknown	PDF	N/A
TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation	Unknown	PDF	N/A
Certified Training: Small Boxes are All You Need	Unknown	PDF	N/A
CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment	Unknown	PDF	N/A
BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging	Unknown	PDF	N/A
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning	Unknown	PDF	N/A
Pre-training via Denoising for Molecular Property Prediction	Unknown	PDF	N/A
AANG : Automating Auxiliary Learning	Unknown	PDF	N/A
Dual Algorithmic Reasoning	Unknown	PDF	N/A
SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning	Unknown	PDF	N/A
Equivariant Energy-Guided SDE for Inverse Molecular Design	Unknown	PDF	N/A
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions	Unknown	PDF	N/A
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching	Unknown	PDF	N/A
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning	Unknown	PDF	N/A
Learning Continuous Normalizing Flows For Faster Convergence To Target Distribution via Ascent Regularizations	Unknown	PDF	N/A
A Simple Yet Powerful Deep Active Learning With Snapshots Ensembles	Unknown	PDF	N/A
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes	Unknown	PDF	N/A
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning	Unknown	PDF	N/A
Simplicial Embeddings in Self-Supervised Learning and Downstream Classification	Unknown	PDF	N/A
Learning Label Encodings for Deep Regression	Unknown	PDF	N/A
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement	Unknown	PDF	N/A
Neural Implicit Shape Editing using Boundary Sensitivity	Unknown	PDF	N/A
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders	Unknown	PDF	N/A
Asynchronous Distributed Bilevel Optimization	Unknown	PDF	N/A
Towards Open Temporal Graph Neural Networks	Unknown	PDF	N/A
VA-DepthNet: A Variational Approach to Single Image Depth Prediction	Unknown	PDF	N/A
Graph Contrastive Learning for Skeleton-based Action Recognition	Unknown	PDF	N/A
Strategic Classification with Graph Neural Networks	Unknown	PDF	N/A
Memory Gym: Partially Observable Challenges to Memory-Based Agents	Unknown	PDF	N/A
What learning algorithm is in-context learning? Investigations with linear models	Unknown	PDF	N/A
Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality	Unknown	PDF	N/A
Learning to Extrapolate: A Transductive Approach	Unknown	PDF	N/A
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward	Unknown	PDF	N/A
How Sharpness-Aware Minimization Minimizes Sharpness?	Unknown	PDF	N/A
Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models	Unknown	PDF	N/A
DreamFusion: Text-to-3D using 2D Diffusion	Unknown	PDF	N/A
The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation	Unknown	PDF	N/A
What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?	Unknown	PDF	N/A
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium	Unknown	PDF	N/A
Integrating Symmetry into Differentiable Planning with Steerable Convolutions	Unknown	PDF	N/A
Deep Generative Symbolic Regression	Unknown	PDF	N/A
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation	Unknown	PDF	N/A
Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation	Unknown	PDF	N/A
Batch Multivalid Conformal Prediction	Unknown	PDF	N/A
Neural Networks and the Chomsky Hierarchy	Unknown	PDF	N/A
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments	Unknown	PDF	N/A
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation	Unknown	PDF	N/A
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers	Unknown	PDF	N/A
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion	Unknown	PDF	N/A
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation	Unknown	PDF	N/A
Context-enriched molecule representations improve few-shot drug discovery	Unknown	PDF	N/A
Boosting Adversarial Transferability using Dynamic Cues	Unknown	PDF	N/A
Scalable and Equivariant Spherical CNNs by Discrete-Continuous (DISCO) Convolutions	Unknown	PDF	N/A
When Source-Free Domain Adaptation Meets Learning with Noisy Labels	Unknown	PDF	N/A
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis	Unknown	PDF	N/A
CrAM: A Compression-Aware Minimizer	Unknown	PDF	N/A
Semi-Implicit Variational Inference via Score Matching	Unknown	PDF	N/A
Generative Augmented Flow Networks	Unknown	PDF	N/A
Accurate Neural Training with 4-bit Matrix Multiplications at Standard Formats	Unknown	PDF	N/A
Multiple sequence alignment as a sequence-to-sequence learning problem	Unknown	PDF	N/A
A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation	Unknown	PDF	N/A
A Primal-Dual Framework for Transformers and Neural Networks	Unknown	PDF	N/A
Solving Constrained Variational Inequalities via a First-order Interior Point-based Method	Unknown	PDF	N/A
Spectral Augmentation for Self-Supervised Learning on Graphs	Unknown	PDF	N/A
Neural Causal Models for Counterfactual Identification and Estimation	Unknown	PDF	N/A
The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks	Unknown	PDF	N/A
Uni-Mol: A Universal 3D Molecular Representation Learning Framework	Unknown	PDF	N/A
PASHA: Efficient HPO and NAS with Progressive Resource Allocation	Unknown	PDF	N/A
Sign and Basis Invariant Networks for Spectral Graph Representation Learning	Unknown	PDF	N/A
Betty: An Automatic Differentiation Library for Multilevel Optimization	Unknown	PDF	N/A
EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark	Unknown	PDF	N/A
Structure by Architecture: Structured Representations without Regularization	Unknown	PDF	N/A
A Non-monotonic Self-terminating Language Model	Unknown	PDF	N/A
Learning topology-preserving data representations	Unknown	PDF	N/A
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach	Unknown	PDF	N/A
Quantifying Memorization Across Neural Language Models	Unknown	PDF	N/A
Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts	Unknown	PDF	N/A
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP	Unknown	PDF	N/A
Scaffolding a Student to Instill Knowledge	Unknown	PDF	N/A
Efficient Edge Inference by Selective Query	Unknown	PDF	N/A
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution	Unknown	PDF	N/A
Faster Gradient-Free Methods for Escaping Saddle Points	Unknown	PDF	N/A
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories	Unknown	PDF	N/A
Semi-Parametric Inducing Point Networks and Neural Processes	Unknown	PDF	N/A
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks	Unknown	PDF	N/A
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task	Unknown	PDF	N/A
Progressive Prompts: Continual Learning for Language Models	Unknown	PDF	N/A
Hyperbolic Self-paced Learning for Self-supervised Skeleton-based Action Representations	Unknown	PDF	N/A
Iterative Patch Selection for High-Resolution Image Recognition	Unknown	PDF	N/A
ReAct: Synergizing Reasoning and Acting in Language Models	Unknown	PDF	N/A
Efficient Offline Policy Optimization with a Learned Model	Unknown	PDF	N/A
Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer	Unknown	PDF	N/A
Timing is Everything: Learning to Act Selectively with Costly Actions and Budgetary Constraints	Unknown	PDF	N/A
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning	Unknown	PDF	N/A
Temporal Dependencies in Feature Importance for Time Series Prediction	Unknown	PDF	N/A
Video Scene Graph Generation from Single-Frame Weak Supervision	Unknown	PDF	N/A
Versatile Neural Processes for Learning Implicit Neural Representations	Unknown	PDF	N/A
Human Motion Diffusion Model	Unknown	PDF	N/A
Compressing multidimensional weather and climate data into neural networks	Unknown	PDF	N/A
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization	Unknown	PDF	N/A
Simplified State Space Layers for Sequence Modeling	Unknown	PDF	N/A
Minimalistic Unsupervised Representation Learning with the Sparse Manifold Transform	Unknown	PDF	N/A
SQA3D: Situated Question Answering in 3D Scenes	Unknown	PDF	N/A
A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics	Unknown	PDF	N/A
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together!	Unknown	PDF	N/A
Rethinking the Expressive Power of GNNs via Graph Biconnectivity	Unknown	PDF	N/A
BAYES RISK CTC: CONTROLLABLE CTC ALIGNMENT IN SEQUENCE-TO-SEQUENCE TASKS	Unknown	PDF	N/A
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games	Unknown	PDF	N/A
Unsupervised Model Selection for Time Series Anomaly Detection	Unknown	PDF	N/A
Temporal Disentanglement of Representations for Improved Generalisation in Reinforcement Learning	Unknown	PDF	N/A
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning	Unknown	PDF	N/A
NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning	Unknown	PDF	N/A
Backpropagation through Combinatorial Algorithms: Identity with Projection Works	Unknown	PDF	N/A
DiffEdit: Diffusion-based semantic image editing with mask guidance	Unknown	PDF	N/A
Towards Stable Test-time Adaptation in Dynamic Wild World	Unknown	PDF	N/A
Denoising Masked Autoencoders Help Robust Classification	Unknown	PDF	N/A
EquiMod: An Equivariance Module to Improve Visual Instance Discrimination	Unknown	PDF	N/A
One Transformer Can Understand Both 2D & 3D Molecular Data	Unknown	PDF	N/A
Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning	Unknown	PDF	N/A
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning	Unknown	PDF	N/A
Learning with Logical Constraints but without Shortcut Satisfaction	Unknown	PDF	N/A
Robust and Controllable Object-Centric Learning through Energy-based Models	Unknown	PDF	N/A
Do We Really Need Complicated Model Architectures For Temporal Networks?	Unknown	PDF	N/A
DepthFL : Depthwise Federated Learning for Heterogeneous Clients	Unknown	PDF	N/A
Over-Training with Mixup May Hurt Generalization	Unknown	PDF	N/A
Self-supervised learning with rotation-invariant kernels	Unknown	PDF	N/A
Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning	Unknown	PDF	N/A
Causal Balancing for Domain Generalization	Unknown	PDF	N/A
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning	Unknown	PDF	N/A
Why (and When) does Local SGD Generalize Better than SGD?	Unknown	PDF	N/A
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization	Unknown	PDF	N/A
Imitating Human Behaviour with Diffusion Models	Unknown	PDF	N/A
Better Generative Replay for Continual Federated Learning	Unknown	PDF	N/A
WikiWhy: Answering and Explaining Cause-and-Effect Questions	Unknown	PDF	N/A
Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders	Unknown	PDF	N/A
EVC: Towards Real-Time Neural Image Compression with Mask Decay	Unknown	PDF	N/A
Sparse Token Transformer with Attention Back Tracking	Unknown	PDF	N/A
Short-Term Memory Convolutions	Unknown	PDF	N/A
MaskViT: Masked Visual Pre-Training for Video Prediction	Unknown	PDF	N/A
REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH	Unknown	PDF	N/A
Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process	Unknown	PDF	N/A
Analogy-Forming Transformers for Few-Shot 3D Parsing	Unknown	PDF	N/A
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation	Unknown	PDF	N/A
Meta Temporal Point Processes	Unknown	PDF	N/A
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules	Unknown	PDF	N/A
How to prepare your task head for finetuning	Unknown	PDF	N/A
Dataset Pruning: Reducing Training Data by Examining Generalization Influence	Unknown	PDF	N/A
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs	Unknown	PDF	N/A
KwikBucks: Correlation Clustering with Cheap-Weak and Expensive-Strong Signals	Unknown	PDF	N/A
Automated Data Augmentations for Graph Classification	Unknown	PDF	N/A
Population-size-Aware Policy Optimization for Mean-Field Games	Unknown	PDF	N/A
Learning Soft Constraints From Constrained Expert Demonstrations	Unknown	PDF	N/A
Energy-based Out-of-Distribution Detection for Graph Neural Networks	Unknown	PDF	N/A
Learning Fast and Slow for Online Time Series Forecasting	Unknown	PDF	N/A
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection	Unknown	PDF	N/A
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion	Unknown	PDF	N/A
Neural Compositional Rule Learning for Knowledge Graph Reasoning	Unknown	PDF	N/A
How robust is unsupervised representation learning to distribution shift?	Unknown	PDF	N/A
Distilling Cognitive Backdoor Patterns within an Image	Unknown	PDF	N/A
Iterative Circuit Repair Against Formal Specifications	Unknown	PDF	N/A
MocoSFL: enabling cross-client collaborative self-supervised learning	Unknown	PDF	N/A
Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation	Unknown	PDF	N/A
MECTA: Memory-Economic Continual Test-Time Model Adaptation	Unknown	PDF	N/A
Continuous pseudo-labeling from the start	Unknown	PDF	N/A
IDEAL: Query-Efficient Data-Free Learning from Black-Box Models	Unknown	PDF	N/A
Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes	Unknown	PDF	N/A
DiGress: Discrete Denoising diffusion for graph generation	Unknown	PDF	N/A
Deja Vu: Continual Model Generalization for Unseen Domains	Unknown	PDF	N/A
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots	Unknown	PDF	N/A
Adversarial Diversity in Hanabi	Unknown	PDF	N/A
Statistical Efficiency of Score Matching: The View from Isoperimetry	Unknown	PDF	N/A
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction	Unknown	PDF	N/A
LMSeg: Language-guided Multi-dataset Segmentation	Unknown	PDF	N/A
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data	Unknown	PDF	N/A
Toward Adversarial Training on Contextualized Language Representation	Unknown	PDF	N/A
BC-IRL: Learning Generalizable Reward Functions from Demonstrations	Unknown	PDF	N/A
Omnigrok: Grokking Beyond Algorithmic Data	Unknown	PDF	N/A
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints	Unknown	PDF	N/A
Actionable Neural Representations: Grid Cells from Minimal Constraints	Unknown	PDF	N/A
Optimal Activation Functions for the Random Features Regression Model	Unknown	PDF	N/A
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model	Unknown	PDF	N/A
Sparse tree-based Initialization for Neural Networks	Unknown	PDF	N/A
A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias	Unknown	PDF	N/A
Cycle to Clique (Cy2C) Graph Neural Network: A Sight to See beyond Neighborhood Aggregation	Unknown	PDF	N/A
MaskFusion: Feature Augmentation for Click-Through Rate Prediction via Input-adaptive Mask Fusion	Unknown	PDF	N/A
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation	Unknown	PDF	N/A
Learned Index with Dynamic $\epsilon$	Unknown	PDF	N/A
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks	Unknown	PDF	N/A
DAG Learning on the Permutahedron	Unknown	PDF	N/A
UNICORN: A Unified Backdoor Trigger Inversion Framework	Unknown	PDF	N/A
PV3D: A 3D Generative Model for Portrait Video Generation	Unknown	PDF	N/A
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks	Unknown	PDF	N/A
On The Specialization of Neural Modules	Unknown	PDF	N/A
Learning What and Where: Disentangling Location and Identity Tracking Without Supervision	Unknown	PDF	N/A
Mass-Editing Memory in a Transformer	Unknown	PDF	N/A
Few-shot Backdoor Attacks via Neural Tangent Kernels	Unknown	PDF	N/A
NERDS: A General Framework to Train Camera Denoisers from Raw-RGB Noisy Image Pairs	Unknown	PDF	N/A
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation	Unknown	PDF	N/A
Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders	Unknown	PDF	N/A
ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation	Unknown	PDF	N/A
Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning	Unknown	PDF	N/A
Diffusion-GAN: Training GANs with Diffusion	Unknown	PDF	N/A
BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion	Unknown	PDF	N/A
QuAnt: Quantum Annealing with Learnt Couplings	Unknown	PDF	N/A
MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection	Unknown	PDF	N/A
Schema Inference for Interpretable Image Classification	Unknown	PDF	N/A
Relative representations enable zero-shot latent space communication	Unknown	PDF	N/A
On Achieving Optimal Adversarial Test Error	Unknown	PDF	N/A
Self-Consistency Improves Chain of Thought Reasoning in Language Models	Unknown	PDF	N/A
Spiking Convolutional Neural Networks for Text Classification	Unknown	PDF	N/A
A Kernel Perspective of Skip Connections in Convolutional Networks	Unknown	PDF	N/A
In-Situ Text-Only Adaptation of Speech Models with Low-Overhead Speech Imputations	Unknown	PDF	N/A
Confidence-Conditioned Value Functions for Offline Reinforcement Learning	Unknown	PDF	N/A
Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations	Unknown	PDF	N/A
Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel	Unknown	PDF	N/A
Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness	Unknown	PDF	N/A
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning	Unknown	PDF	N/A
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation	Unknown	PDF	N/A
Explicitly Minimizing the Blur Error of Variational Autoencoders	Unknown	PDF	N/A
Learning to Estimate Shapley Values with Vision Transformers	Unknown	PDF	N/A
HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing	Unknown	PDF	N/A
Hyper-Decision Transformer for Efficient Online Policy Adaptation	Unknown	PDF	N/A
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent	Unknown	PDF	N/A
Sparsity-Constrained Optimal Transport	Unknown	PDF	N/A
Real-Time Image Demoir$\acute{e}$ing on Mobile Devices	Unknown	PDF	N/A
RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY	Unknown	PDF	N/A
Understanding Influence Functions and Datamodels via Harmonic Analysis	Unknown	PDF	N/A
Stochastic No-regret Learning for General Games with Variance Reduction	Unknown	PDF	N/A
When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning	Unknown	PDF	N/A
MIMT: Masked Image Modeling Transformer for Video Compression	Unknown	PDF	N/A
Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems	Unknown	PDF	N/A
Efficient Discrete Multi Marginal Optimal Transport Regularization	Unknown	PDF	N/A
Evaluating Representations with Readout Model Switching	Unknown	PDF	N/A
Sequential Learning of Neural Networks for Prequential MDL	Unknown	PDF	N/A
Explaining RL Decisions with Trajectories	Unknown	PDF	N/A
Efficient Conditionally Invariant Representation Learning	Unknown	PDF	N/A
Stable Target Field for Reduced Variance Score Estimation in Diffusion Models	Unknown	PDF	N/A
Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences	Unknown	PDF	N/A
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs	Unknown	PDF	N/A
DINO as a von Mises-Fisher mixture model	Unknown	PDF	N/A
The Lie Derivative for Measuring Learned Equivariance	Unknown	PDF	N/A
Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization	Unknown	PDF	N/A
Meta-Learning in Games	Unknown	PDF	N/A
Universal Approximation Theorems for Differentiable Geometric Deep Learning	Unknown	PDF	N/A
Provable Memorization Capacity of Transformers	Unknown	PDF	N/A
Bridge the Inference Gaps of Neural Processes via Expectation Maximization	Unknown	PDF	N/A
Masked Vision and Language Modeling for Multi-modal Representation Learning	Unknown	PDF	N/A
Massively Scaling Heteroscedastic Classifiers	Unknown	PDF	N/A
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations	Unknown	PDF	N/A
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation	Unknown	PDF	N/A
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations	Unknown	PDF	N/A
Decision Transformer under Random Frame Dropping	Unknown	PDF	N/A
Visual Classification via Description from Large Language Models	Unknown	PDF	N/A
De Novo Molecular Generation via Connection-aware Motif Mining	Unknown	PDF	N/A
Targeted Hyperparameter Optimization with Lexicographic Preferences Over Multiple Objectives	Unknown	PDF	N/A
Towards Smooth Video Composition	Unknown	PDF	N/A
Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective	Unknown	PDF	N/A
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?	Unknown	PDF	N/A
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules	Unknown	PDF	N/A
E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation	Unknown	PDF	N/A
Online Bias Correction for Task-Free Continual Learning	Unknown	PDF	N/A
Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing	Unknown	PDF	N/A
Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition	Unknown	PDF	N/A
Don’t fear the unlabelled: safe semi-supervised learning via debiasing	Unknown	PDF	N/A
Learning differentiable solvers for systems with hard constraints	Unknown	PDF	N/A
DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images	Unknown	PDF	N/A
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models	Unknown	PDF	N/A
A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet	Unknown	PDF	N/A
Token Merging: Your ViT But Faster	Unknown	PDF	N/A
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs	Unknown	PDF	N/A
Ensuring DNN Solution Feasibility for Optimization Problems with Linear Constraints	Unknown	PDF	N/A
Retrieval-based Controllable Molecule Generation	Unknown	PDF	N/A
Prompt-to-Prompt Image Editing with Cross-Attention Control	Unknown	PDF	N/A
Localized Randomized Smoothing for Collective Robustness Certification	Unknown	PDF	N/A
Hebbian Deep Learning Without Feedback	Unknown	PDF	N/A
Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs	Unknown	PDF	N/A
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap	Unknown	PDF	N/A
Distributionally Robust Post-hoc Classifiers under Prior Shifts	Unknown	PDF	N/A
More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity	Unknown	PDF	N/A
Stochastic Multi-Person 3D Motion Forecasting	Unknown	PDF	N/A
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second	Unknown	PDF	N/A
Learning Structured Representations by Embedding Class Hierarchy	Unknown	PDF	N/A
Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality	Unknown	PDF	N/A
Asynchronous Gradient Play in Zero-Sum Multi-agent Games	Unknown	PDF	N/A
Novel View Synthesis with Diffusion Models	Unknown	PDF	N/A
Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting	Unknown	PDF	N/A
Behavior Prior Representation learning for Offline Reinforcement Learning	Unknown	PDF	N/A
Trading Information between Latents in Hierarchical Variational Autoencoders	Unknown	PDF	N/A
MEDFAIR: Benchmarking Fairness for Medical Imaging	Unknown	PDF	N/A
Decoupled Training for Long-Tailed Classification With Stochastic Representations	Unknown	PDF	N/A
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation	Unknown	PDF	N/A
Building a Subspace of Policies for Scalable Continual Learning	Unknown	PDF	N/A
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States	Unknown	PDF	N/A
3D Segmenter: 3D Transformer based Semantic Segmentation via 2D Panoramic Distillation	Unknown	PDF	N/A
TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing	Unknown	PDF	N/A
GOOD: Exploring geometric cues for detecting objects in an open world	Unknown	PDF	N/A
Average Sensitivity of Decision Tree Learning	Unknown	PDF	N/A
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism	Unknown	PDF	N/A
Tailoring Language Generation Models under Total Variation Distance	Unknown	PDF	N/A
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection	Unknown	PDF	N/A
The KFIoU Loss for Rotated Object Detection	Unknown	PDF	N/A
Systematic Rectification of Language Models via Dead-end Analysis	Unknown	PDF	N/A
Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions	Unknown	PDF	N/A
SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS	Unknown	PDF	N/A
PatchDCT: Patch Refinement for High Quality Instance Segmentation	Unknown	PDF	N/A
A Message Passing Perspective on Learning Dynamics of Contrastive Learning	Unknown	PDF	N/A
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning	Unknown	PDF	N/A
Improved Convergence of Differential Private SGD with Gradient Clipping	Unknown	PDF	N/A
Toeplitz Neural Network for Sequence Modeling	Unknown	PDF	N/A
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks	Unknown	PDF	N/A
On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme	Unknown	PDF	N/A
Effective Self-supervised Pre-training on Low-compute Networks without Distillation	Unknown	PDF	N/A
On the Soft-Subnetwork for Few-Shot Class Incremental Learning	Unknown	PDF	N/A
TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization	Unknown	PDF	N/A
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding	Unknown	PDF	N/A
Approximate Nearest Neighbor Search through Modern Error-Correcting Codes	Unknown	PDF	N/A
Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs	Unknown	PDF	N/A
Offline Reinforcement Learning with Differentiable Function Approximation is Provably Efficient	Unknown	PDF	N/A
DENSE RGB SLAM WITH NEURAL IMPLICIT MAPS	Unknown	PDF	N/A
Monocular Scene Reconstruction with 3D SDF Transformers	Unknown	PDF	N/A
Learning Heterogeneous Interaction Strengths by Trajectory Prediction with Graph Neural Network	Unknown	PDF	N/A
Online Low Rank Matrix Completion	Unknown	PDF	N/A
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework	Unknown	PDF	N/A
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning	Unknown	PDF	N/A
Generalize Learned Heuristics to Solve Large-scale Vehicle Routing Problems in Real-time	Unknown	PDF	N/A
On the complexity of nonsmooth automatic differentiation	Unknown	PDF	N/A
DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics	Unknown	PDF	N/A
Exploring perceptual straightness in learned visual representations	Unknown	PDF	N/A
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving	Unknown	PDF	N/A
Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning	Unknown	PDF	N/A
Bag of Tricks for Unsupervised Text-to-Speech	Unknown	PDF	N/A
Information-Theoretic Characterization of the Generalization Error for Iterative Semi-Supervised Learning	Unknown	PDF	N/A
Composing Task Knowledge With Modular Successor Feature Approximators	Unknown	PDF	N/A
Advancing Radiograph Representation Learning with Masked Record Modeling	Unknown	PDF	N/A
Verifying the Union of Manifolds Hypothesis for Image Data	Unknown	PDF	N/A
GAMR: A Guided Attention Model for (visual) Reasoning	Unknown	PDF	N/A
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth	Unknown	PDF	N/A
Energy-Based Test Sample Adaptation for Domain Generalization	Unknown	PDF	N/A
On the Saturation Effect of Kernel Ridge Regression	Unknown	PDF	N/A
Re-parameterizing Your Optimizers rather than Architectures	Unknown	PDF	N/A
PLOT: Prompt Learning with Optimal Transport for Vision-Language Models	Unknown	PDF	N/A
Linearly Mapping from Image to Text Space	Unknown	PDF	N/A
Protein Representation Learning via Knowledge Enhanced Primary Structure Reasoning	Unknown	PDF	N/A
The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning	Unknown	PDF	N/A
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers	Unknown	PDF	N/A
Exploring Active 3D Object Detection from a Generalization Perspective	Unknown	PDF	N/A
Gradient Gating for Deep Multi-Rate Learning on Graphs	Unknown	PDF	N/A
Diffusion Models Already Have A Semantic Latent Space	Unknown	PDF	N/A
Masked Image Modeling with Denoising Contrast	Unknown	PDF	N/A
GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation	Unknown	PDF	N/A
Contrastive Learning for Unsupervised Domain Adaptation of Time Series	Unknown	PDF	N/A
TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs	Unknown	PDF	N/A
Masked Unsupervised Self-training for Label-free Image Classification	Unknown	PDF	N/A
Learning the Positions in CountSketch	Unknown	PDF	N/A
Deep Ensembles for Graphs with Higher-order Dependencies	Unknown	PDF	N/A
Globally Optimal Training of Neural Networks with Threshold Activation Functions	Unknown	PDF	N/A
Sound Randomized Smoothing in Floating-Point Arithmetic	Unknown	PDF	N/A
Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms	Unknown	PDF	N/A
Out-of-distribution Representation Learning for Time Series Classification	Unknown	PDF	N/A
AnyDA: Anytime Domain Adaptation	Unknown	PDF	N/A
Koopman Neural Operator Forecaster for Time-series with Temporal Distributional Shifts	Unknown	PDF	N/A
Deep Generative Modeling on Limited Data with Regularization by Nontransferable Pre-trained Models	Unknown	PDF	N/A
Sampling with Mollified Interaction Energy Descent	Unknown	PDF	N/A
Multimodal Federated Learning via Contrastive Representation Ensemble	Unknown	PDF	N/A
Leveraging Importance Weights in Subset Selection	Unknown	PDF	N/A
Can CNNs Be More Robust Than Transformers?	Unknown	PDF	N/A
Optimistic Exploration with Learned Features Provably Solves Markov Decision Processes with Neural Dynamics	Unknown	PDF	N/A
Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions	Unknown	PDF	N/A
Causal Imitation Learning via Inverse Reinforcement Learning	Unknown	PDF	N/A
FIT: A Metric for Model Sensitivity	Unknown	PDF	N/A
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play	Unknown	PDF	N/A
Progressively Compressed Auto-Encoder for Self-supervised Representation Learning	Unknown	PDF	N/A
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example	Unknown	PDF	N/A
Learning to Decompose Visual Features with Latent Textual Prompts	Unknown	PDF	N/A
Dual Diffusion Implicit Bridges for Image-to-Image Translation	Unknown	PDF	N/A
Calibrating Sequence likelihood Improves Conditional Language Generation	Unknown	PDF	N/A
Learning Proximal Operators to Discover Multiple Optima	Unknown	PDF	N/A
REPAIR: REnormalizing Permuted Activations for Interpolation Repair	Unknown	PDF	N/A
Neural Radiance Field Codebooks	Unknown	PDF	N/A
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation	Unknown	PDF	N/A
Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem	Unknown	PDF	N/A
ISAAC Newton: Input-based Approximate Curvature for Newton's Method	Unknown	PDF	N/A
Revisiting adapters with adversarial training	Unknown	PDF	N/A
Heterogeneous Neuronal and Synaptic Dynamics for Spike-Efficient Unsupervised Learning: Theory and Design Principles	Unknown	PDF	N/A
Rethinking Graph Lottery Tickets: Graph Sparsity Matters	Unknown	PDF	N/A
Private Federated Learning Without a Trusted Server: Optimal Algorithms for Convex Losses	Unknown	PDF	N/A
Unicom: Universal and Compact Representation Learning for Image Retrieval	Unknown	PDF	N/A
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model	Unknown	PDF	N/A
Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search	Unknown	PDF	N/A
Flow Annealed Importance Sampling Bootstrap	Unknown	PDF	N/A
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems	Unknown	PDF	N/A
Replicable Bandits	Unknown	PDF	N/A
Eva: Practical Second-order Optimization with Kronecker-vectorized Approximation	Unknown	PDF	N/A
On the Robustness of Safe Reinforcement Learning under Observational Perturbations	Unknown	PDF	N/A
Image as Set of Points	Unknown	PDF	N/A
Trainability Preserving Neural Pruning	Unknown	PDF	N/A
Graph Neural Networks for Link Prediction with Subgraph Sketching	Unknown	PDF	N/A
Learning Locality and Isotropy in Dialogue Modeling	Unknown	PDF	N/A
A Unified Algebraic Perspective on Lipschitz Neural Networks	Unknown	PDF	N/A
Information-Theoretic Diffusion	Unknown	PDF	N/A
Evaluating Long-Term Memory in 3D Mazes	Unknown	PDF	N/A
Contrastive Meta-Learning for Partially Observable Few-Shot Learning	Unknown	PDF	N/A
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs	Unknown	PDF	N/A
Proactive Multi-Camera Collaboration for 3D Human Pose Estimation	Unknown	PDF	N/A
Promptagator: Few-shot Dense Retrieval From 8 Examples	Unknown	PDF	N/A
Backstepping Temporal Difference Learning	Unknown	PDF	N/A
Human MotionFormer: Transferring Human Motions with Vision Transformers	Unknown	PDF	N/A
Memorization-Dilation: Modeling Neural Collapse Under Noise	Unknown	PDF	N/A
On Representing Mixed-Integer Linear Programs by Graph Neural Networks	Unknown	PDF	N/A
Revisiting Robustness in Graph Machine Learning	Unknown	PDF	N/A
Parallel Deep Neural Networks Have Zero Duality Gap	Unknown	PDF	N/A
Reward Design with Language Models	Unknown	PDF	N/A
Contrastive Corpus Attribution for Explaining Representations	Unknown	PDF	N/A
Multi-domain image generation and translation with identifiability guarantees	Unknown	PDF	N/A
Continual evaluation for lifelong learning: Identifying the stability gap	Unknown	PDF	N/A
Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?	Unknown	PDF	N/A
Dataless Knowledge Fusion by Merging Weights of Language Models	Unknown	PDF	N/A
Long Range Language Modeling via Gated State Spaces	Unknown	PDF	N/A
Transformer Meets Boundary Value Inverse Problems	Unknown	PDF	N/A
Masked Distillation with Receptive Tokens	Unknown	PDF	N/A
Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval	Unknown	PDF	N/A
TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification	Unknown	PDF	N/A
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction	Unknown	PDF	N/A
Sparse Random Networks for Communication-Efficient Federated Learning	Unknown	PDF	N/A
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning	Unknown	PDF	N/A
Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing	Unknown	PDF	N/A
Spatial Attention Kinetic Networks with E(n)-Equivariance	Unknown	PDF	N/A
Distributed Differential Privacy in Multi-Armed Bandits	Unknown	PDF	N/A
Coverage-centric Coreset Selection for High Pruning Rates	Unknown	PDF	N/A
Achieving Sub-linear Regret in Infinite Horizon Average Reward Constrained MDP with Linear Function Approximation	Unknown	PDF	N/A
Encoding Recurrence into Transformers	Unknown	PDF	N/A
Learning Hyper Label Model for Programmatic Weak Supervision	Unknown	PDF	N/A
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy	Unknown	PDF	N/A
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning	Unknown	PDF	N/A
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks	Unknown	PDF	N/A
Learning to Jointly Share and Prune Weights for Grounding Based Vision and Language Models	Unknown	PDF	N/A
Domain Generalisation via Domain Adaptation: An Adversarial Fourier Amplitude Approach	Unknown	PDF	N/A
GReTo: Remedying dynamic graph topology-task discordance via target homophily	Unknown	PDF	N/A
Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation	Unknown	PDF	N/A
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning	Unknown	PDF	N/A
Improving Deep Regression with Ordinal Entropy	Unknown	PDF	N/A
Language Modelling with Pixels	Unknown	PDF	N/A
Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts	Unknown	PDF	N/A
Neural Architecture Design and Robustness: A Dataset	Unknown	PDF	N/A
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?	Unknown	PDF	N/A
Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling	Unknown	PDF	N/A
AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks	Unknown	PDF	N/A
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks	Unknown	PDF	N/A
Decentralized Optimistic Hyperpolicy Mirror Descent: Provably No-Regret Learning in Markov Games	Unknown	PDF	N/A
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping	Unknown	PDF	N/A
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization	Unknown	PDF	N/A
Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting	Unknown	PDF	N/A
Selective Annotation Makes Language Models Better Few-Shot Learners	Unknown	PDF	N/A
Switch-NeRF: Learning Scene Decomposition with Mixture of Experts for Large-scale Neural Radiance Fields	Unknown	PDF	N/A
Scaling Forward Gradient With Local Losses	Unknown	PDF	N/A
NORM: Knowledge Distillation via N-to-One Representation Matching	Unknown	PDF	N/A
Critic Sequential Monte Carlo	Unknown	PDF	N/A
(Certified!!) Adversarial Robustness for Free!	Unknown	PDF	N/A
Measuring Forgetting of Memorized Training Examples	Unknown	PDF	N/A
Multi-lingual Evaluation of Code Generation Models	Unknown	PDF	N/A
wav2tok: Deep Sequence Tokenizer for Audio Retrieval	Unknown	PDF	N/A
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?	Unknown	PDF	N/A
Robust Active Distillation	Unknown	PDF	N/A
SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation	Unknown	PDF	N/A
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks	Unknown	PDF	N/A
Near-optimal Policy Identification in Active Reinforcement Learning	Unknown	PDF	N/A
Spherical Sliced-Wasserstein	Unknown	PDF	N/A
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning	Unknown	PDF	N/A
Subquadratic Algorithms for Kernel Matrices via Kernel Density Estimation	Unknown	PDF	N/A
MixPro: Data Augmentation with MaskMix and Progressive Attention Labeling for Vision Transformer	Unknown	PDF	N/A
Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies	Unknown	PDF	N/A
SP2 : A Second Order Stochastic Polyak Method	Unknown	PDF	N/A
CLIP-Dissect: Automatic Description of Neuron Representations in Deep Vision Networks	Unknown	PDF	N/A
Continual Transformers: Redundancy-Free Attention for Online Inference	Unknown	PDF	N/A
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation	Unknown	PDF	N/A
Accurate Image Restoration with Attention Retractable Transformer	Unknown	PDF	N/A
Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information	Unknown	PDF	N/A
Self-Supervised Set Representation Learning for Unsupervised Meta-Learning	Unknown	PDF	N/A
Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems	Unknown	PDF	N/A
Visual Imitation Learning with Patch Rewards	Unknown	PDF	N/A
CodeT: Code Generation with Generated Tests	Unknown	PDF	N/A
Learning to Generate Columns with Application to Vertex Coloring	Unknown	PDF	N/A
Interaction-Based Disentanglement of Entities for Object-Centric World Models	Unknown	PDF	N/A
Learning where and when to reason in neuro-symbolic inference	Unknown	PDF	N/A
On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation	Unknown	PDF	N/A
StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training	Unknown	PDF	N/A
Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks	Unknown	PDF	N/A
Improving Deep Policy Gradients with Value Function Search	Unknown	PDF	N/A
Depth Separation with Multilayer Mean-Field Networks	Unknown	PDF	N/A
Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting	Unknown	PDF	N/A
Individual Privacy Accounting with Gaussian Differential Privacy	Unknown	PDF	N/A
Non-parametric Outlier Synthesis	Unknown	PDF	N/A
General Neural Gauge Fields	Unknown	PDF	N/A
Generate rather than Retrieve: Large Language Models are Strong Context Generators	Unknown	PDF	N/A
Discovering Informative and Robust Positives for Video Domain Adaptation	Unknown	PDF	N/A
Understanding Why Generalized Reweighting Does Not Improve Over ERM	Unknown	PDF	N/A
Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models	Unknown	PDF	N/A
Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics	Unknown	PDF	N/A
Is Conditional Generative Modeling all you need for Decision Making?	Unknown	PDF	N/A
Fair Attribute Completion on Graph with Missing Attributes	Unknown	PDF	N/A
Planning with Sequence Models through Iterative Energy Minimization	Unknown	PDF	N/A
Composing Ensembles of Pre-trained Models via Iterative Consensus	Unknown	PDF	N/A
Deep Ranking Ensembles for Hyperparameter Optimization	Unknown	PDF	N/A
Robustness to corruption in pre-trained Bayesian neural networks	Unknown	PDF	N/A
Neural Groundplans: Persistent Neural Scene Representations from a Single Image	Unknown	PDF	N/A
Improved Training of Physics-Informed Neural Networks Using Energy-Based Priors: a Study on Electrical Impedance Tomography	Unknown	PDF	N/A
Disentanglement with Biological Constraints: A Theory of Functional Cell Types	Unknown	PDF	N/A
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation	Unknown	PDF	N/A
Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks	Unknown	PDF	N/A
Continual Unsupervised Disentangling of Self-Organizing Representations	Unknown	PDF	N/A
Accelerating Guided Diffusion Sampling with Splitting Numerical Methods	Unknown	PDF	N/A
Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations	Unknown	PDF	N/A
LiftedCL: Lifting Contrastive Learning for Human-Centric Perception	Unknown	PDF	N/A
SIMPLE: A Gradient Estimator for k-Subset Sampling	Unknown	PDF	N/A
Modeling content creator incentives on algorithm-curated platforms	Unknown	PDF	N/A
Deep Variational Implicit Processes	Unknown	PDF	N/A
Estimating individual treatment effects under unobserved confounding using binary instruments	Unknown	PDF	N/A
Approximate Bayesian Inference with Stein Functional Variational Gradient Descent	Unknown	PDF	N/A
Distributional Meta-Gradient Reinforcement Learning	Unknown	PDF	N/A
Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference	Unknown	PDF	N/A
Denoising Diffusion Error Correction Codes	Unknown	PDF	N/A
Temperature Schedules for self-supervised contrastive methods on long-tail data	Unknown	PDF	N/A
Meta Knowledge Condensation for Federated Learning	Unknown	PDF	N/A
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills	Unknown	PDF	N/A
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning	Unknown	PDF	N/A
Neuro-Symbolic Procedural Planning with Commonsense Prompting	Unknown	PDF	N/A
Learning Object-Language Alignments for Open-Vocabulary Object Detection	Unknown	PDF	N/A
Time to augment self-supervised visual representation learning	Unknown	PDF	N/A
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization	Unknown	PDF	N/A
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization	Unknown	PDF	N/A
Personalized Federated Learning with Feature Alignment and Classifier Collaboration	Unknown	PDF	N/A
Adversarial Attacks on Adversarial Bandits	Unknown	PDF	N/A
Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling	Unknown	PDF	N/A
Improving Object-centric Learning with Query Optimization	Unknown	PDF	N/A
Phase transition for detecting a small community in a large network	Unknown	PDF	N/A
Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients	Unknown	PDF	N/A
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection	Unknown	PDF	N/A
Noise Is Not the Main Factor Behind the Gap Between Sgd and Adam on Transformers, But Sign Descent Might Be	Unknown	PDF	N/A
Transformer-Patcher: One Mistake Worth One Neuron	Unknown	PDF	N/A
Are More Layers Beneficial to Graph Transformers?	Unknown	PDF	N/A
Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective	Unknown	PDF	N/A
Improving Out-of-distribution Generalization with Indirection Representations	Unknown	PDF	N/A
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint	Unknown	PDF	N/A
The Power of Regularization in Solving Extensive-Form Games	Unknown	PDF	N/A
S-NeRF: Neural Radiance Fields for Street Views	Unknown	PDF	N/A
Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization	Unknown	PDF	N/A
CFlowNets: Continuous Control with Generative Flow Networks	Unknown	PDF	N/A
Limitless Stability for Graph Convolutional Networks	Unknown	PDF	N/A
DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection	Unknown	PDF	N/A
Differentiable Gaussianization Layers for Inverse Problems Regularized by Deep Generative Models	Unknown	PDF	N/A
Exploring Low-Rank Property in Multiple Instance Learning for Whole Slide Image Classification	Unknown	PDF	N/A
Breaking Correlation Shift via Conditional Invariant Regularizer	Unknown	PDF	N/A
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case	Unknown	PDF	N/A
In-context Reinforcement Learning with Algorithm Distillation	Unknown	PDF	N/A
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding	Unknown	PDF	N/A
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors	Unknown	PDF	N/A
Block and Subword-Scaling Floating-Point (BSFP) : An Efficient Non-Uniform Quantization For Low Precision Inference	Unknown	PDF	N/A
Semi-supervised Community Detection via Structural Similarity Metrics	Unknown	PDF	N/A
Learning Symbolic Models for Graph-structured Physical Mechanism	Unknown	PDF	N/A
DDM$^2$: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models	Unknown	PDF	N/A
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification	Unknown	PDF	N/A
Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks	Unknown	PDF	N/A
Learning Zero-Shot Cooperation with Humans, Assuming Humans Are Biased	Unknown	PDF	N/A
Multivariate Time-series Imputation with Disentangled Temporal Representations	Unknown	PDF	N/A
Evidential Uncertainty and Diversity Guided Active Learning for Scene Graph Generation	Unknown	PDF	N/A
Automating Nearest Neighbor Search Configuration with Constrained Optimization	Unknown	PDF	N/A
OTOv2: Automatic, Generic, User-Friendly	Unknown	PDF	N/A
Unified Discrete Diffusion for Simultaneous Vision-Language Generation	Unknown	PDF	N/A
Win: Weight-Decay-Integrated Nesterov Acceleration for Adaptive Gradient Algorithms	Unknown	PDF	N/A
Self-Distillation for Further Pre-training of Transformers	Unknown	PDF	N/A
Statistical Inference for Fisher Market Equilibrium	Unknown	PDF	N/A
Visual Recognition with Deep Nearest Centroids	Unknown	PDF	N/A
LPT: Long-tailed Prompt Tuning for Image Classification	Unknown	PDF	N/A
DamoFD: Digging into Backbone Design on Face Detection	Unknown	PDF	N/A
Prompting GPT-3 To Be Reliable	Unknown	PDF	N/A
Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation	Unknown	PDF	N/A
Spikformer: When Spiking Neural Network Meets Transformer	Unknown	PDF	N/A
Multimodal Analogical Reasoning over Knowledge Graphs	Unknown	PDF	N/A
Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction	Unknown	PDF	N/A
Conditional Positional Encodings for Vision Transformers	Unknown	PDF	N/A
Guarded Policy Optimization with Imperfect Online Demonstrations	Unknown	PDF	N/A
Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions	Unknown	PDF	N/A
Revisiting the Entropy Semiring for Neural Speech Recognition	Unknown	PDF	N/A
Rethinking skip connection model as a learnable Markov chain	Unknown	PDF	N/A
Measuring axiomatic soundness of counterfactual image models	Unknown	PDF	N/A
Alternating Differentiation for Optimization Layers	Unknown	PDF	N/A
Out-of-distribution Detection with Implicit Outlier Transformation	Unknown	PDF	N/A
Extracting Robust Models with Uncertain Examples	Unknown	PDF	N/A
Stochastic Differentially Private and Fair Learning	Unknown	PDF	N/A
Volumetric Optimal Transportation by Fast Fourier Transform	Unknown	PDF	N/A
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion	Unknown	PDF	N/A
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition	Unknown	PDF	N/A
MCAL: Minimum Cost Human-Machine Active Labeling	Unknown	PDF	N/A
Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks	Unknown	PDF	N/A
Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction	Unknown	PDF	N/A
Bit-Pruning: A Sparse Multiplication-Less Dot-Product	Unknown	PDF	N/A
A Stable and Scalable Method for Solving Initial Value PDEs with Neural Networks	Unknown	PDF	N/A
IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION?	Unknown	PDF	N/A
Learning Domain-Agnostic Representation for Disease Diagnosis	Unknown	PDF	N/A
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection	Unknown	PDF	N/A
A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification	Unknown	PDF	N/A
Suppressing the Heterogeneity: A Strong Feature Extractor for Few-shot Segmentation	Unknown	PDF	N/A
Achieve the Minimum Width of Neural Networks for Universal Approximation	Unknown	PDF	N/A
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph	Unknown	PDF	N/A
On amortizing convex conjugates for optimal transport	Unknown	PDF	N/A
Discovering Evolution Strategies via Meta-Black-Box Optimization	Unknown	PDF	N/A
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Manipulation	Unknown	PDF	N/A
SIMPLE: Specialized Model-Sample Matching for Domain Generalization	Unknown	PDF	N/A
Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining	Unknown	PDF	N/A
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations	Unknown	PDF	N/A
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning	Unknown	PDF	N/A
Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins	Unknown	PDF	N/A
Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions	Unknown	PDF	N/A
Human-level Atari 200x faster	Unknown	PDF	N/A
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models	Unknown	PDF	N/A
Molecule Generation For Target Protein Binding with Structural Motifs	Unknown	PDF	N/A
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning	Unknown	PDF	N/A
Towards Robust Object Detection Invariant to Real-World Domain Shifts	Unknown	PDF	N/A
Generating Diverse Cooperative Agents by Learning Incompatible Policies	Unknown	PDF	N/A
Information-Theoretic Analysis of Unsupervised Domain Adaptation	Unknown	PDF	N/A
Effects of Graph Convolutions in Multi-layer Networks	Unknown	PDF	N/A
Diffusion Posterior Sampling for General Noisy Inverse Problems	Unknown	PDF	N/A
Ask Me Anything: A simple strategy for prompting language models	Unknown	PDF	N/A
Multi-skill Mobile Manipulation for Object Rearrangement	Unknown	PDF	N/A
Post-hoc Concept Bottleneck Models	Unknown	PDF	N/A
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling	Unknown	PDF	N/A
Corrupted Image Modeling for Self-Supervised Visual Pre-Training	Unknown	PDF	N/A
Deep Learning on Implicit Neural Representations of Shapes	Unknown	PDF	N/A
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language	Unknown	PDF	N/A
Clean-image Backdoor: Attacking Multi-label Models with Poisoned Labels Only	Unknown	PDF	N/A
Neural DAG Scheduling via One-Shot Priority Sampling	Unknown	PDF	N/A
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time	Unknown	PDF	N/A
Provably Auditing Ordinary Least Squares in Low Dimensions	Unknown	PDF	N/A
On Accelerated Perceptrons and Beyond	Unknown	PDF	N/A
EVA3D: Compositional 3D Human Generation from 2D Image Collections	Unknown	PDF	N/A
Single-shot General Hyper-parameter Optimization for Federated Learning	Unknown	PDF	N/A
DocPrompting: Generating Code by Retrieving the Docs	Unknown	PDF	N/A
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry	Unknown	PDF	N/A
Fooling SHAP with Stealthily Biased Sampling	Unknown	PDF	N/A
View Synthesis with Sculpted Neural Points	Unknown	PDF	N/A
On Pre-training Language Model for Antibody	Unknown	PDF	N/A
Represent to Control Partially Observed Systems: Representation Learning with Provable Sample Efficiency	Unknown	PDF	N/A
Efficient Attention via Control Variates	Unknown	PDF	N/A
CUDA: Curriculum of Data Augmentation for Long-tailed Recognition	Unknown	PDF	N/A
Spacetime Representation Learning	Unknown	PDF	N/A
Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation	Unknown	PDF	N/A
DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking	Unknown	PDF	N/A
Mind's Eye: Grounded Language Model Reasoning through Simulation	Unknown	PDF	N/A
Code Translation with Compiler Representations	Unknown	PDF	N/A
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection	Unknown	PDF	N/A
Phase2vec: dynamical systems embedding with a physics-informed convolutional network	Unknown	PDF	N/A
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation	Unknown	PDF	N/A
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow	Unknown	PDF	N/A
Learning on Large-scale Text-attributed Graphs via Variational Inference	Unknown	PDF	N/A
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics	Unknown	PDF	N/A
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning	Unknown	PDF	N/A
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random	Unknown	PDF	N/A
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks	Unknown	PDF	N/A
Fundamental Limits in Formal Verification of Message-Passing Neural Networks	Unknown	PDF	N/A
Generative Modelling with Inverse Heat Dissipation	Unknown	PDF	N/A
Improving the imputation of missing data with Markov Blanket discovery	Unknown	PDF	N/A
Classically Approximating Variational Quantum Machine Learning with Random Fourier Features	Unknown	PDF	N/A
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems	Unknown	PDF	N/A
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?	Unknown	PDF	N/A
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching	Unknown	PDF	N/A
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization	Unknown	PDF	N/A
Sample-Efficient Reinforcement Learning by Breaking the Replay Ratio Barrier	Unknown	PDF	N/A
Recitation-Augmented Language Models	Unknown	PDF	N/A
PowerQuant: Automorphism Search for Non-Uniform Quantization	Unknown	PDF	N/A
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions	Unknown	PDF	N/A
Fisher-Legendre (FishLeg) optimization of deep neural networks	Unknown	PDF	N/A
Pseudo-label Training and Model Inertia in Neural Machine Translation	Unknown	PDF	N/A
Choreographer: Learning and Adapting Skills in Imagination	Unknown	PDF	N/A
Blurring Diffusion Models	Unknown	PDF	N/A
MultiViz: Towards Visualizing and Understanding Multimodal Models	Unknown	PDF	N/A
LAVA: Data Valuation without Pre-Specified Learning Algorithms	Unknown	PDF	N/A
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization	Unknown	PDF	N/A
Neuromechanical Autoencoders: Learning to Couple Elastic and Neural Network Nonlinearity	Unknown	PDF	N/A
NeRN: Learning Neural Representations for Neural Networks	Unknown	PDF	N/A
Proposal-Contrastive Pretraining for Object Detection from Fewer Data	Unknown	PDF	N/A
PAC Reinforcement Learning for Predictive State Representations	Unknown	PDF	N/A
Unsupervised Manifold Alignment with Joint Multidimensional Scaling	Unknown	PDF	N/A
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions	Unknown	PDF	N/A
Conditional Antibody Design as 3D Equivariant Graph Translation	Unknown	PDF	N/A
From Play to Policy: Conditional Behavior Generation from Uncurated Robot Data	Unknown	PDF	N/A
A CMDP-within-online framework for Meta-Safe Reinforcement Learning	Unknown	PDF	N/A
Relational Attention: Generalizing Transformers for Graph-Structured Tasks	Unknown	PDF	N/A
Making Better Decision by Directly Planning in Continuous Control	Unknown	PDF	N/A
Training language models to summarize narratives improves brain alignment	Unknown	PDF	N/A
Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images	Unknown	PDF	N/A
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery	Unknown	PDF	N/A
MARS: Meta-learning as Score Matching in the Function Space	Unknown	PDF	N/A
BALTO: fast tensor program optimization with diversity-based active learning	Unknown	PDF	N/A
Pseudoinverse-Guided Diffusion Models for Inverse Problems	Unknown	PDF	N/A
Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers	Unknown	PDF	N/A
HiViT: A Simpler and More Efficient Design of Hierarchical Vision Transformer	Unknown	PDF	N/A
Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics	Unknown	PDF	N/A
Spatio-temporal point processes with deep non-stationary kernels	Unknown	PDF	N/A
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval	Unknown	PDF	N/A
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering	Unknown	PDF	N/A
$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games	Unknown	PDF	N/A
Towards the Generalization of Contrastive Self-Supervised Learning	Unknown	PDF	N/A
Deterministic training of generative autoencoders using invertible layers	Unknown	PDF	N/A
Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries	Unknown	PDF	N/A
Learning rigid dynamics with face interaction graph networks	Unknown	PDF	N/A
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning	Unknown	PDF	N/A
On the Sensitivity of Reward Inference to Misspecified Human Models	Unknown	PDF	N/A
ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations	Unknown	PDF	N/A
Pink Noise Is All You Need: Colored Noise Exploration in Deep Reinforcement Learning	Unknown	PDF	N/A
Understanding and Adopting Rational Behavior by Bellman Score Estimation	Unknown	PDF	N/A
SMART: Self-supervised Multi-task pretrAining with contRol Transformers	Unknown	PDF	N/A
Learning with Stochastic Orders	Unknown	PDF	N/A
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation	Unknown	PDF	N/A
Extremely Simple Activation Shaping for Out-of-Distribution Detection	Unknown	PDF	N/A
Extreme Q-Learning: MaxEnt RL without Entropy	Unknown	PDF	N/A
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs	Unknown	PDF	N/A
Learning About Progress From Experts	Unknown	PDF	N/A
Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities	Unknown	PDF	N/A
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search	Unknown	PDF	N/A
Git Re-Basin: Merging Models modulo Permutation Symmetries	Unknown	PDF	N/A
SimPer: Simple Self-Supervised Learning of Periodic Targets	Unknown	PDF	N/A
No Reason for No Supervision: Improved Generalization in Supervised Models	Unknown	PDF	N/A
Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective	Unknown	PDF	N/A
EV-GAN: Simulation of extreme events with ReLU neural networks	Unknown	PDF	N/A
Learning Rates as a Function of Batch Size: A Random Matrix Theory Approach to Neural Network Training	Unknown	PDF	N/A
Topologically penalized regression on manifolds	Unknown	PDF	N/A
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks	Unknown	PDF	N/A
Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions	Unknown	PDF	N/A
OPTQ: Accurate Quantization for Generative Pre-trained Transformers	Unknown	PDF	N/A
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games	Unknown	PDF	N/A
Learning Controllable Adaptive Simulation for Multi-resolution Physics	Unknown	PDF	N/A
The Tilted Variational Autoencoder: Improving Out-of-Distribution Detection	Unknown	PDF	N/A
Constraining Representations Yields Models That Know What They Don't Know	Unknown	PDF	N/A
Faster federated optimization under second-order similarity	Unknown	PDF	N/A
Diffusion Models for Causal Discovery via Topological Ordering	Unknown	PDF	N/A
Deconstructing Distributions: A Pointwise Framework of Learning	Unknown	PDF	N/A
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs	Unknown	PDF	N/A
Gray-Box Gaussian Processes for Automated Reinforcement Learning	Unknown	PDF	N/A
Machine Unlearning of Federated Clusters	Unknown	PDF	N/A
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples	Unknown	PDF	N/A
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations	Unknown	PDF	N/A
Understanding Embodied Reference with Touch-Line Transformer	Unknown	PDF	N/A
Semi-supervised learning with a principled likelihood from a generative model of data curation	Unknown	PDF	N/A
The hidden uniform cluster prior in self-supervised learning	Unknown	PDF	N/A
STaSy: Score-based Tabular data Synthesis	Unknown	PDF	N/A
Near-optimal Coresets for Robust Clustering	Unknown	PDF	N/A
Learning Diffusion Bridges on Constrained Domains	Unknown	PDF	N/A
Bayesian Oracle for bounding information gain in neural encoding models	Unknown	PDF	N/A
Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL	Unknown	PDF	N/A
On Representing Linear Programs by Graph Neural Networks	Unknown	PDF	N/A
SLTUNET: A Simple Unified Model for Sign Language Translation	Unknown	PDF	N/A
Confidential-PROFITT: Confidential PROof of FaIr Training of Trees	Unknown	PDF	N/A
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data	Unknown	PDF	N/A
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners	Unknown	PDF	N/A
Understanding Neural Coding on Latent Manifolds by Sharing Features and Dividing Ensembles	Unknown	PDF	N/A
Model-based Causal Bayesian Optimization	Unknown	PDF	N/A
Multi-objective optimization via equivariant deep hypervolume approximation	Unknown	PDF	N/A
ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion	Unknown	PDF	N/A
Why adversarial training can hurt robust accuracy	Unknown	PDF	N/A
Planning with Large Language Models for Code Generation	Unknown	PDF	N/A
Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions	Unknown	PDF	N/A
EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data	Unknown	PDF	N/A
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training	Unknown	PDF	N/A
How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study	Unknown	PDF	N/A
Robust Scheduling with GFlowNets	Unknown	PDF	N/A
Generating Sequences by Learning to Self-Correct	Unknown	PDF	N/A
Feature selection and low test error in shallow low-rotation ReLU networks	Unknown	PDF	N/A
A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation	Unknown	PDF	N/A
Behavior Proximal Policy Optimization	Unknown	PDF	N/A
Bayes-MIL: A New Probabilistic Perspective on Attention-based Multiple Instance Learning for Whole Slide Images	Unknown	PDF	N/A
Performance Bounds for Model and Policy Transfer in Hidden-parameter MDPs	Unknown	PDF	N/A
Distributed Extra-gradient with Optimal Complexity and Communication Guarantees	Unknown	PDF	N/A
Characteristic Neural Ordinary Differential Equation	Unknown	PDF	N/A
Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise	Unknown	PDF	N/A
Can We Find Nash Equilibria at a Linear Rate in Markov Games?	Unknown	PDF	N/A
Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning	Unknown	PDF	N/A
Understanding DDPM Latent Codes Through Optimal Transport	Unknown	PDF	N/A
Scaling up and Stabilizing Differentiable Planning with Implicit Differentiation	Unknown	PDF	N/A
A Theory of Dynamic Benchmarks	Unknown	PDF	N/A
Language models are multilingual chain-of-thought reasoners	Unknown	PDF	N/A
FIGARO: Controllable Music Generation using Learned and Expert Features	Unknown	PDF	N/A
Real-time variational method for learning neural trajectory and its dynamics	Unknown	PDF	N/A
Label Propagation with Weak Supervision	Unknown	PDF	N/A
MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting	Unknown	PDF	N/A
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation	Unknown	PDF	N/A
Interpretable Geometric Deep Learning via Learnable Randomness Injection	Unknown	PDF	N/A
Denoising Diffusion Samplers	Unknown	PDF	N/A
Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation	Unknown	PDF	N/A
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning	Unknown	PDF	N/A
Learning Iterative Neural Optimizers for Image Steganography	Unknown	PDF	N/A
Decomposed Prompting: A Modular Approach for Solving Complex Tasks	Unknown	PDF	N/A
A Control-Centric Benchmark for Video Prediction	Unknown	PDF	N/A
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions	Unknown	PDF	N/A
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes	Unknown	PDF	N/A
Memorization Capacity of Neural Networks with Conditional Computation	Unknown	PDF	N/A
Graph Domain Adaptation via Theory-Grounded Spectral Regularization	Unknown	PDF	N/A
Characterizing intrinsic compositionality in transformers with Tree Projections	Unknown	PDF	N/A
Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Recursive Time Series Data Augmentation	Unknown	PDF	N/A
Fast Nonlinear Vector Quantile Regression	Unknown	PDF	N/A
Unveiling the sampling density in non-uniform geometric graphs	Unknown	PDF	N/A
Test-Time Robust Personalization for Federated Learning	Unknown	PDF	N/A
Solving stochastic weak Minty variational inequalities without increasing batch size	Unknown	PDF	N/A
QAID: Question Answering Inspired Few-shot Intent Detection	Unknown	PDF	N/A
Towards Addressing Label Skews in One-Shot Federated Learning	Unknown	PDF	N/A
Contextual Convolutional Networks	Unknown	PDF	N/A
Scenario-based Question Answering with Interacting Contextual Properties	Unknown	PDF	N/A
EAGLE: Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers	Unknown	PDF	N/A
Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks	Unknown	PDF	N/A
Learning Fair Graph Representations via Automated Data Augmentations	Unknown	PDF	N/A
Learning Hierarchical Protein Representations via Complete 3D Graph Networks	Unknown	PDF	N/A
Computing all Optimal Partial Transports	Unknown	PDF	N/A
Learning Vortex Dynamics for Fluid Inference and Prediction	Unknown	PDF	N/A
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning	Unknown	PDF	N/A
Filter-Recovery Network for Multi-Speaker Audio-Visual Speech Separation	Unknown	PDF	N/A
Function-Consistent Feature Distillation	Unknown	PDF	N/A
Decompose to Generalize: Species-Generalized Animal Pose Estimation	Unknown	PDF	N/A
Scaling Up Probabilistic Circuits by Latent Variable Distillation	Unknown	PDF	N/A
What shapes the loss landscape of self supervised learning?	Unknown	PDF	N/A
Efficient approximation of neural population structure and correlations with probabilistic circuits	Unknown	PDF	N/A
TypeT5: Seq2seq Type Inference using Static Analysis	Unknown	PDF	N/A
Stay Moral and Explore: Learn to Behave Morally in Text-based Games	Unknown	PDF	N/A
Improving Differentiable Neural Architecture Search by Encouraging Transferability	Unknown	PDF	N/A
Auto-Encoding Goodness of Fit	Unknown	PDF	N/A
Particle-based Variational Inference with Preconditioned Functional Gradient Flow	Unknown	PDF	N/A
Markup-to-Image Diffusion Models with Scheduled Sampling	Unknown	PDF	N/A
An Extensible Multi-modal Multi-task Object Dataset with Materials	Unknown	PDF	N/A
DySR: Adaptive Super-Resolution via Algorithm and System Co-design	Unknown	PDF	N/A
Can Neural Networks Learn Implicit Logic from Physical Reasoning?	Unknown	PDF	N/A
ManyDG: Many-domain Generalization for Healthcare Applications	Unknown	PDF	N/A
StyleMorph: Disentangled 3D-Aware Image Synthesis with a 3D Morphable StyleGAN	Unknown	PDF	N/A
Packed Ensembles for efficient uncertainty estimation	Unknown	PDF	N/A
Generalization and Estimation Error Bounds for Model-based Neural Networks	Unknown	PDF	N/A
Towards convergence to Nash equilibria in two-team zero-sum games	Unknown	PDF	N/A
Exploring Temporally Dynamic Data Augmentation for Video Recognition	Unknown	PDF	N/A
Understanding Train-Validation Split in Meta-Learning with Neural Networks	Unknown	PDF	N/A
Bispectral Neural Networks	Unknown	PDF	N/A
A Learning Based Hypothesis Test for Harmful Covariate Shift	Unknown	PDF	N/A
$k$NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference	Unknown	PDF	N/A
Selective Frequency Network for Image Restoration	Unknown	PDF	N/A
ImaginaryNet: Learning Object Detectors without Real Images and Annotations	Unknown	PDF	N/A
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation	Unknown	PDF	N/A
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization	Unknown	PDF	N/A
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities	Unknown	PDF	N/A
Offline RL for Natural Language Generation with Implicit Language Q Learning	Unknown	PDF	N/A
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems	Unknown	PDF	N/A
Human alignment of neural network representations	Unknown	PDF	N/A
Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation	Unknown	PDF	N/A
Self-supervision through Random Segments with Autoregressive Coding (RandSAC)	Unknown	PDF	N/A
Efficiently Controlling Multiple Risks with Pareto Testing	Unknown	PDF	N/A
DiffMimic: Efficient Motion Mimicking with Differentiable Physics	Unknown	PDF	N/A
Causality Compensated Attention for Contextual Biased Visual Recognition	Unknown	PDF	N/A
Sparse Mixture-of-Experts are Domain Generalizable Learners	Unknown	PDF	N/A
Towards Better Selective Classification	Unknown	PDF	N/A
Latent Bottlenecked Attentive Neural Processes	Unknown	PDF	N/A
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression?	Unknown	PDF	N/A
Latent Graph Inference using Product Manifolds	Unknown	PDF	N/A
Light Sampling Field and BRDF Representation for Physically-based Neural Rendering	Unknown	PDF	N/A
FedExP: Speeding Up Federated Averaging via Extrapolation	Unknown	PDF	N/A
Compositionality with Variation Reliably Emerges in Neural Networks	Unknown	PDF	N/A
gDDIM: Generalized denoising diffusion implicit models	Unknown	PDF	N/A
Fast Sampling of Diffusion Models with Exponential Integrator	Unknown	PDF	N/A
Understanding The Robustness of Self-supervised Learning Through Topic Modeling	Unknown	PDF	N/A
Interactive Portrait Harmonization	Unknown	PDF	N/A
AIM: Adapting Image Models for Efficient Video Action Recognition	Unknown	PDF	N/A
Parameter-Efficient Fine-Tuning Design Spaces	Unknown	PDF	N/A
Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization	Unknown	PDF	N/A
Learning in temporally structured environments	Unknown	PDF	N/A
Dilated convolution with learnable spacings	Unknown	PDF	N/A
PEER: A Collaborative Language Model	Unknown	PDF	N/A
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition	Unknown	PDF	N/A
Formal Mathematics Statement Curriculum Learning	Unknown	PDF	N/A
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory	Unknown	PDF	N/A
Subsampling in Large Graphs Using Ricci Curvature	Unknown	PDF	N/A
$\Lambda$-DARTS: Mitigating Performance Collapse by Harmonizing Operation Selection among Cells	Unknown	PDF	N/A
UL2: Unifying Language Learning Paradigms	Unknown	PDF	N/A
STREET: A MULTI-TASK STRUCTURED REASONING AND EXPLANATION BENCHMARK	Unknown	PDF	N/A
Efficient Certified Training and Robustness Verification of Neural ODEs	Unknown	PDF	N/A
Active Learning for Object Detection with Evidential Deep Learning and Hierarchical Uncertainty Aggregation	Unknown	PDF	N/A
Diffusion Probabilistic Fields	Unknown	PDF	N/A
Globally Injective ReLU Networks	Unknown	PDF	N/A
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency	Unknown	PDF	N/A
Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences	Unknown	PDF	N/A
Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement	Unknown	PDF	N/A
SemPPL: Predicting Pseudo-Labels for Better Contrastive Representations	Unknown	PDF	N/A
Distributionally Robust Recourse Action	Unknown	PDF	N/A
Bidirectional Propagation for Cross-Modal 3D Object Detection	Unknown	PDF	N/A
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.	Unknown	PDF	N/A
Efficient Deep Reinforcement Learning Requires Regulating Overfitting	Unknown	PDF	N/A
Using Both Demonstrations and Language Instructions to Efficiently Learn Robotic Tasks	Unknown	PDF	N/A
Learning to Segment from Noisy Annotations: A Spatial Correction Approach	Unknown	PDF	N/A
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation	Unknown	PDF	N/A
DynaMS: Dyanmic Margin Selection for Efficient Deep Learning	Unknown	PDF	N/A
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers	Unknown	PDF	N/A
Mid-Vision Feedback	Unknown	PDF	N/A
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention	Unknown	PDF	N/A
Learning Rationalizable Equilibria in Multiplayer Games	Unknown	PDF	N/A
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments	Unknown	PDF	N/A
Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization	Unknown	PDF	N/A
Efficient Federated Domain Translation	Unknown	PDF	N/A
Diversify and Disambiguate: Out-of-Distribution Robustness via Disagreement	Unknown	PDF	N/A
Agnostic Learning of General ReLU Activation Using Gradient Descent	Unknown	PDF	N/A
Latent Variable Representation for Reinforcement Learning	Unknown	PDF	N/A
Learning Probabilistic Topological Representations Using Discrete Morse Theory	Unknown	PDF	N/A
Spectral Decomposition Representation for Reinforcement Learning	Unknown	PDF	N/A
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning	Unknown	PDF	N/A
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms	Unknown	PDF	N/A
MMVAE+: Enhancing the Generative Quality of Multimodal VAEs without Compromises	Unknown	PDF	N/A
Causal Confusion and Reward Misidentification in Preference-Based Reward Learning	Unknown	PDF	N/A
TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding	Unknown	PDF	N/A
Open-Vocabulary Object Detection upon Frozen Vision and Language Models	Unknown	PDF	N/A
Solving Continuous Control via Q-learning	Unknown	PDF	N/A
Mutual Partial Label Learning with Competitive Label Noise	Unknown	PDF	N/A
Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment	Unknown	PDF	N/A
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence	Unknown	PDF	N/A
Implicit Regularization for Group Sparsity	Unknown	PDF	N/A
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning	Unknown	PDF	N/A
Martingale Posterior Neural Processes	Unknown	PDF	N/A
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure	Unknown	PDF	N/A
Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors	Unknown	PDF	N/A
Identifiability Results for Multimodal Contrastive Learning	Unknown	PDF	N/A
Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection	Unknown	PDF	N/A
Learning Group Importance using the Differentiable Hypergeometric Distribution	Unknown	PDF	N/A
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification	Unknown	PDF	N/A
A View From Somewhere: Human-Centric Face Representations	Unknown	PDF	N/A
PaLI: A Jointly-Scaled Multilingual Language-Image Model	Unknown	PDF	N/A
Learning Uncertainty for Unknown Domains with Zero-Target-Assumption	Unknown	PDF	N/A
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic	Unknown	PDF	N/A
Self-Supervised Geometric Correspondence for Category-Level 6D Object Pose Estimation in the Wild	Unknown	PDF	N/A
Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach	Unknown	PDF	N/A
MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC	Unknown	PDF	N/A
Building Normalizing Flows with Stochastic Interpolants	Unknown	PDF	N/A
Clifford Neural Layers for PDE Modeling	Unknown	PDF	N/A
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning	Unknown	PDF	N/A
LogicDP: Creating Labels for Graph Data via Inductive Logic Programming	Unknown	PDF	N/A
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam	Unknown	PDF	N/A
Temporal Coherent Test Time Optimization for Robust Video Classification	Unknown	PDF	N/A
Multi-Objective Online Learning	Unknown	PDF	N/A
Provable Robustness against Wasserstein Distribution Shifts via Input Randomization	Unknown	PDF	N/A
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos	Unknown	PDF	N/A
On the Performance of Temporal Difference Learning With Neural Networks	Unknown	PDF	N/A
Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness	Unknown	PDF	N/A
Scaling Laws for a Multi-Agent Reinforcement Learning Model	Unknown	PDF	N/A
Transfer Learning with Deep Tabular Models	Unknown	PDF	N/A
Anti-Symmetric DGN: a stable architecture for Deep Graph Networks	Unknown	PDF	N/A
Protein Sequence and Structure Co-Design with Equivariant Translation	Unknown	PDF	N/A
Differentially Private Adaptive Optimization with Delayed Preconditioners	Unknown	PDF	N/A
SMART: Sentences as Basic Units for Text Evaluation	Unknown	PDF	N/A
Fairness and Accuracy under Domain Generalization	Unknown	PDF	N/A
Mitigating Dataset Bias by Using Per-Sample Gradient	Unknown	PDF	N/A
Gradient Boosting Performs Gaussian Process Inference	Unknown	PDF	N/A
A critical look at the evaluation of GNNs under heterophily: Are we really making progress?	Unknown	PDF	N/A
Provably Efficient Lifelong Reinforcement Learning with Linear Representation	Unknown	PDF	N/A
Confidence Estimation Using Unlabeled Data	Unknown	PDF	N/A
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve	Unknown	PDF	N/A
Diffusion-based Image Translation using disentangled style and content representation	Unknown	PDF	N/A
Competitive Physics Informed Networks	Unknown	PDF	N/A
Learnable Graph Convolutional Attention Networks	Unknown	PDF	N/A
On the Data-Efficiency with Contrastive Image Transformation in Reinforcement Learning	Unknown	PDF	N/A
Unbiased Supervised Contrastive Learning	Unknown	PDF	N/A
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation	Unknown	PDF	N/A
Bridging the Gap to Real-World Object-Centric Learning	Unknown	PDF	N/A
Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning	Unknown	PDF	N/A
Understanding Zero-shot Adversarial Robustness for Large-Scale Models	Unknown	PDF	N/A
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis	Unknown	PDF	N/A
3D generation on ImageNet	Unknown	PDF	N/A
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation	Unknown	PDF	N/A
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic	Unknown	PDF	N/A
Sparse Distributed Memory is a Continual Learner	Unknown	PDF	N/A
Deep Transformers without Shortcuts: Modifying Self-attention for Faithful Signal Propagation	Unknown	PDF	N/A
Symmetric Pruning in Quantum Neural Networks	Unknown	PDF	N/A
On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations	Unknown	PDF	N/A
GNNDelete: A General Strategy for Unlearning in Graph Neural Networks	Unknown	PDF	N/A
Fundamental limits on the robustness of image classifiers	Unknown	PDF	N/A
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code	Unknown	PDF	N/A
Leveraging Unlabeled Data to Track Memorization	Unknown	PDF	N/A
Learning to reason over visual objects	Unknown	PDF	N/A
Weighted Ensemble Self-Supervised Learning	Unknown	PDF	N/A
Agent-based Graph Neural Networks	Unknown	PDF	N/A
Tuning Frequency Bias in Neural Network Training with Nonuniform Data	Unknown	PDF	N/A
Treeformer: Dense Gradient Trees for Efficient Attention Computation	Unknown	PDF	N/A
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers	Unknown	PDF	N/A
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation	Unknown	PDF	N/A
Protein Representation Learning by Geometric Structure Pretraining	Unknown	PDF	N/A
DAG Matters! GFlowNets Enhanced Explainer for Graph Neural Networks	Unknown	PDF	N/A
Don’t forget the nullspace! Nullspace occupancy as a mechanism for out of distribution failure	Unknown	PDF	N/A
Uniform-in-time propagation of chaos for the mean-field gradient Langevin dynamics	Unknown	PDF	N/A
Excess Risk of Two-Layer ReLU Neural Networks in Teacher-Student Settings and its Superiority to Kernel Methods	Unknown	PDF	N/A
Confidence-Based Feature Imputation for Graphs with Partially Known Features	Unknown	PDF	N/A
Imitating Graph-Based Planning with Goal-Conditioned Policies	Unknown	PDF	N/A
Long-Tailed Learning Requires Feature Learning	Unknown	PDF	N/A
FedDAR: Federated Domain-Aware Representation Learning	Unknown	PDF	N/A
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning	Unknown	PDF	N/A
Factorized Fourier Neural Operators	Unknown	PDF	N/A
Variational Latent Branching Model for Off-Policy Evaluation	Unknown	PDF	N/A
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction	Unknown	PDF	N/A
Transformer-based model for symbolic regression via joint supervised learning	Unknown	PDF	N/A
LS-IQ: Implicit Reward Regularization for Inverse Reinforcement Learning	Unknown	PDF	N/A
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning	Unknown	PDF	N/A
Mini-batch $k$-means terminates within $O(d/\epsilon)$ iterations	Unknown	PDF	N/A
Disentanglement of Correlated Factors via Hausdorff Factorized Support	Unknown	PDF	N/A
An efficient encoder-decoder architecture with top-down attention for speech separation	Unknown	PDF	N/A
Specformer: Spectral Graph Neural Networks Meet Transformers	Unknown	PDF	N/A
BigVGAN: A Universal Neural Vocoder with Large-Scale Training	Unknown	PDF	N/A
ZiCo: Zero-shot NAS via inverse Coefficient of Variation on Gradients	Unknown	PDF	N/A
Cross-Layer Retrospective Retrieving via Layer Attention	Unknown	PDF	N/A
Decision S4: Efficient Sequence-Based RL via State Spaces Layers	Unknown	PDF	N/A
Easy Differentially Private Linear Regression	Unknown	PDF	N/A
Contextual bandits with concave rewards, and an application to fair ranking	Unknown	PDF	N/A
Can BERT Refrain from Forgetting on Sequential Tasks? A Probing Study	Unknown	PDF	N/A
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning	Unknown	PDF	N/A
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules	Unknown	PDF	N/A
DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training	Unknown	PDF	N/A
Latent State Marginalization as a Low-cost Approach for Improving Exploration	Unknown	PDF	N/A
Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data	Unknown	PDF	N/A
GFlowNets and variational inference	Unknown	PDF	N/A
Leveraging Large Language Models for Multiple Choice Question Answering	Unknown	PDF	N/A
Understanding the Covariance Structure of Convolutional Filters	Unknown	PDF	N/A
Regression with Label Differential Privacy	Unknown	PDF	N/A
E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking	Unknown	PDF	N/A
WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations	Unknown	PDF	N/A
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions	Unknown	PDF	N/A
An Exact Poly-Time Membership-Queries Algorithm for Extracting a Three-Layer ReLU Network	Unknown	PDF	N/A
On the Robustness to Misspecification of α-posteriors and Their Variational Approximations	Unknown	PDF	N/A
Binding Language Models in Symbolic Languages	Unknown	PDF	N/A
ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond	Unknown	PDF	N/A
Compositional Semantic Parsing with Large Language Models	Unknown	PDF	N/A
Coupled Multiwavelet Operator Learning for Coupled Differential Equations	Unknown	PDF	N/A
POPGym: Benchmarking Partially Observable Reinforcement Learning	Unknown	PDF	N/A
Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning	Unknown	PDF	N/A
TrojText: Test-time Invisible Textual Trojan Insertion	Unknown	PDF	N/A
Transferable Unlearnable Examples	Unknown	PDF	N/A
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual Learning	Unknown	PDF	N/A
Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN	Unknown	PDF	N/A
Task-Aware Information Routing from Common Representation Space in Lifelong Learning	Unknown	PDF	N/A
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks	Unknown	PDF	N/A
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore	Unknown	PDF	N/A
Combinatorial Pure Exploration of Causal Bandits	Unknown	PDF	N/A
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization	Unknown	PDF	N/A
What Makes Convolutional Models Great on Long Sequence Modeling?	Unknown	PDF	N/A
Learning Multimodal Data Augmentation in Feature Space	Unknown	PDF	N/A
Neural Systematic Binder	Unknown	PDF	N/A
Active Image Indexing	Unknown	PDF	N/A
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization	Unknown	PDF	N/A
Learning Human-Compatible Representations for Case-Based Decision Support	Unknown	PDF	N/A
Optimizing Spca-based Continual Learning: A Theoretical Approach	Unknown	PDF	N/A
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models	Unknown	PDF	N/A
The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation	Unknown	PDF	N/A
Linear Connectivity Reveals Generalization Strategies	Unknown	PDF	N/A
SCoMoE: Efficient Mixtures of Experts with Structured Communication	Unknown	PDF	N/A
A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.	Unknown	PDF	N/A
The Role of Coverage in Online Reinforcement Learning	Unknown	PDF	N/A
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales	Unknown	PDF	N/A
GEASS: Neural causal feature selection for high-dimensional biological data	Unknown	PDF	N/A
SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing	Unknown	PDF	N/A
Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement	Unknown	PDF	N/A
Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps	Unknown	PDF	N/A
Neural Bregman Divergences for Distance Learning	Unknown	PDF	N/A
Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks	Unknown	PDF	N/A
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity	Unknown	PDF	N/A
ChiroDiff: Modelling chirographic data with Diffusion Models	Unknown	PDF	N/A
Out-of-Distribution Detection and Selective Generation for Conditional Language Models	Unknown	PDF	N/A
A Unified Framework for Soft Threshold Pruning	Unknown	PDF	N/A
Federated Neural Bandits	Unknown	PDF	N/A
Compositional Task Representations for Large Language Models	Unknown	PDF	N/A
An Additive Instance-Wise Approach to Multi-class Model Interpretation	Unknown	PDF	N/A
Editing models with task arithmetic	Unknown	PDF	N/A
Reparameterization through Spatial Gradient Scaling	Unknown	PDF	N/A
Quality-Similar Diversity via Population Based Reinforcement Learning	Unknown	PDF	N/A
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning	Unknown	PDF	N/A
Adaptive Optimization in the $\infty$-Width Limit	Unknown	PDF	N/A
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts	Unknown	PDF	N/A
Avoiding spurious correlations via logit correction	Unknown	PDF	N/A
Interpretability with full complexity by constraining feature information	Unknown	PDF	N/A
User-Interactive Offline Reinforcement Learning	Unknown	PDF	N/A
Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL	Unknown	PDF	N/A
Large Language Models are Human-Level Prompt Engineers	Unknown	PDF	N/A
Pruning Deep Neural Networks from a Sparsity Perspective	Unknown	PDF	N/A
Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus	Unknown	PDF	N/A
Dual Student Networks for Data-Free Model Stealing	Unknown	PDF	N/A
Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity	Unknown	PDF	N/A
Mosaic Representation Learning for Self-supervised Visual Pre-training	Unknown	PDF	N/A
A Theoretical Framework for Inference and Learning in Predictive Coding Networks	Unknown	PDF	N/A
Variance Reduction is an Antidote to Byzantines: Better Rates, Weaker Assumptions and Communication Compression as a Cherry on the Top	Unknown	PDF	N/A
Energy-Inspired Self-Supervised Pretraining for Vision Models	Unknown	PDF	N/A
Effectively Modeling Time Series with Simple Discrete State Spaces	Unknown	PDF	N/A
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers	Unknown	PDF	N/A
Random Laplacian Features for Learning with Hyperbolic Space	Unknown	PDF	N/A
Replay Memory as An Empirical MDP: Combining Conservative Estimation with Experience Replay	Unknown	PDF	N/A
$\mathrm{SE}(3)$-Equivariant Attention Networks for Shape Reconstruction in Function Space	Unknown	PDF	N/A
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought	Unknown	PDF	N/A
Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport	Unknown	PDF	N/A
Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection	Unknown	PDF	N/A
CircNet: Meshing 3D Point Clouds with Circumcenter Detection	Unknown	PDF	N/A
Robust Graph Dictionary Learning	Unknown	PDF	N/A
Unsupervised visualization of image datasets using contrastive learning	Unknown	PDF	N/A
Learning Harmonic Molecular Representations on Riemannian Manifold	Unknown	PDF	N/A
Learning Language Representations with Logical Inductive Bias	Unknown	PDF	N/A
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains	Unknown	PDF	N/A
Concept-level Debugging of Part-Prototype Networks	Unknown	PDF	N/A
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis	Unknown	PDF	N/A
Computational Language Acquisition with Theory of Mind	Unknown	PDF	N/A
Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property	Unknown	PDF	N/A
Mega: Moving Average Equipped Gated Attention	Unknown	PDF	N/A
Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees	Unknown	PDF	N/A
Prototypical Calibration for Few-shot Learning of Language Models	Unknown	PDF	N/A
Serving Graph Compression for Graph Neural Networks	Unknown	PDF	N/A
Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency	Unknown	PDF	N/A
Geometrically regularized autoencoders for non-Euclidean data	Unknown	PDF	N/A
Calibrating the Rigged Lottery: Making All Tickets Reliable	Unknown	PDF	N/A
A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution	Unknown	PDF	N/A
VoGE: A Differentiable Volume Renderer using Gaussian Ellipsoids for Analysis-by-Synthesis	Unknown	PDF	N/A

ICLR 2024

Title	Author	PDF	Code URL
Spotlight Posters	Unknown	PDF	N/A
Robot Fleet Learning via Policy Merging	Unknown	PDF	N/A
GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations	Unknown	PDF	N/A
Eureka: Human-Level Reward Design via Coding Large Language Models	Unknown	PDF	N/A
Oracle Efficient Algorithms for Groupwise Regret	Unknown	PDF	N/A
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning	Unknown	PDF	N/A
Topic Modeling as Multi-Objective Contrastive Optimization	Unknown	PDF	N/A
Principled Architecture-aware Scaling of Hyperparameters	Unknown	PDF	N/A
Set Learning for Accurate and Calibrated Models	Unknown	PDF	N/A
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning	Unknown	PDF	N/A
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts	Unknown	PDF	N/A
PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation	Unknown	PDF	N/A
LOQA: Learning with Opponent Q-Learning Awareness	Unknown	PDF	N/A
Online Stabilization of Spiking Neural Networks	Unknown	PDF	N/A
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction	Unknown	PDF	N/A
Blending Imitation and Reinforcement Learning for Robust Policy Improvement	Unknown	PDF	N/A
In-Context Learning Learns Label Relationships but Is Not Conventional Learning	Unknown	PDF	N/A
Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time	Unknown	PDF	N/A
ConR: Contrastive Regularizer for Deep Imbalanced Regression	Unknown	PDF	N/A
Label-Noise Robust Diffusion Models	Unknown	PDF	N/A
Exploring the cloud of feature interaction scores in a Rashomon set	Unknown	PDF	N/A
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels	Unknown	PDF	N/A
A Simple Romance Between Multi-Exit Vision Transformer and Token Reduction	Unknown	PDF	N/A
Sign2GPT: Leveraging Large Language Models for Gloss-Free Sign Language Translation	Unknown	PDF	N/A
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality	Unknown	PDF	N/A
Equivariant Matrix Function Neural Networks	Unknown	PDF	N/A
Sparsistency for inverse optimal transport	Unknown	PDF	N/A
Towards Poisoning Fair Representations	Unknown	PDF	N/A
Order-Preserving GFlowNets	Unknown	PDF	N/A
Zipformer: A faster and better encoder for automatic speech recognition	Unknown	PDF	N/A
Looped Transformers are Better at Learning Learning Algorithms	Unknown	PDF	N/A
Boosting Graph Anomaly Detection with Adaptive Message Passing	Unknown	PDF	N/A
Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching	Unknown	PDF	N/A
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models	Unknown	PDF	N/A
Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks	Unknown	PDF	N/A
Forward $\chi^2$ Divergence Based Variational Importance Sampling	Unknown	PDF	N/A
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation	Unknown	PDF	N/A
Effective Data Augmentation With Diffusion Models	Unknown	PDF	N/A
Incremental Randomized Smoothing Certification	Unknown	PDF	N/A
Training Graph Transformers via Curriculum-Enhanced Attention Distillation	Unknown	PDF	N/A
FITS: Modeling Time Series with $10k$ Parameters	Unknown	PDF	N/A
Robust Training of Federated Models with Extremely Label Deficiency	Unknown	PDF	N/A
Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation	Unknown	PDF	N/A
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks	Unknown	PDF	N/A
DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models	Unknown	PDF	N/A
Robust agents learn causal world models	Unknown	PDF	N/A
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images	Unknown	PDF	N/A
Scaling Convex Neural Networks with Burer-Monteiro Factorization	Unknown	PDF	N/A
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach	Unknown	PDF	N/A
Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control	Unknown	PDF	N/A
GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion	Unknown	PDF	N/A
Reward Model Ensembles Help Mitigate Overoptimization	Unknown	PDF	N/A
Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks	Unknown	PDF	N/A
Near-Optimal Solutions of Constrained Learning Problems	Unknown	PDF	N/A
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback	Unknown	PDF	N/A
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX	Unknown	PDF	N/A
Denoising Diffusion via Image-Based Rendering	Unknown	PDF	N/A
MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy	Unknown	PDF	N/A
On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback	Unknown	PDF	N/A
Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration	Unknown	PDF	N/A
Domain Randomization via Entropy Maximization	Unknown	PDF	N/A
Constraint-Free Structure Learning with Smooth Acyclic Orientations	Unknown	PDF	N/A
SEABO: A Simple Search-Based Method for Offline Imitation Learning	Unknown	PDF	N/A
Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment	Unknown	PDF	N/A
Consistent4D: Consistent 360° Dynamic Object Generation from Monocular Video	Unknown	PDF	N/A
The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”	Unknown	PDF	N/A
Identifying the Risks of LM Agents with an LM-Emulated Sandbox	Unknown	PDF	N/A
On Bias-Variance Alignment in Deep Models	Unknown	PDF	N/A
InstructDET: Diversifying Referring Object Detection with Generalized Instructions	Unknown	PDF	N/A
Patched Denoising Diffusion Models For High-Resolution Image Synthesis	Unknown	PDF	N/A
Teach LLMs to Phish: Stealing Private Information from Language Models	Unknown	PDF	N/A
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning	Unknown	PDF	N/A
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations	Unknown	PDF	N/A
Noise-free Score Distillation	Unknown	PDF	N/A
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning	Unknown	PDF	N/A
Efficient Integrators for Diffusion Generative Models	Unknown	PDF	N/A
AttEXplore: Attribution for Explanation with model parameters eXploration	Unknown	PDF	N/A
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics	Unknown	PDF	N/A
You Only Query Once: An Efficient Label-Only Membership Inference Attack	Unknown	PDF	N/A
The Marginal Value of Momentum for Small Learning Rate SGD	Unknown	PDF	N/A
Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!	Unknown	PDF	N/A
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?	Unknown	PDF	N/A
DreamLLM: Synergistic Multimodal Comprehension and Creation	Unknown	PDF	N/A
AffineQuant: Affine Transformation Quantization for Large Language Models	Unknown	PDF	N/A
On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters	Unknown	PDF	N/A
Multisize Dataset Condensation	Unknown	PDF	N/A
MVDream: Multi-view Diffusion for 3D Generation	Unknown	PDF	N/A
Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations	Unknown	PDF	N/A
Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds	Unknown	PDF	N/A
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation	Unknown	PDF	N/A
ZeroFlow: Scalable Scene Flow via Distillation	Unknown	PDF	N/A
Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models	Unknown	PDF	N/A
Gradual Optimization Learning for Conformational Energy Minimization	Unknown	PDF	N/A
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates	Unknown	PDF	N/A
Post-hoc bias scoring is optimal for fair classification	Unknown	PDF	N/A
Conditional Information Bottleneck Approach for Time Series Imputation	Unknown	PDF	N/A
Reasoning with Latent Diffusion in Offline Reinforcement Learning	Unknown	PDF	N/A
COSA: Concatenated Sample Pretrained Vision-Language Foundation Model	Unknown	PDF	N/A
FedWon: Triumphing Multi-domain Federated Learning Without Normalization	Unknown	PDF	N/A
Grokking as the transition from lazy to rich training dynamics	Unknown	PDF	N/A
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo	Unknown	PDF	N/A
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing	Unknown	PDF	N/A
QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models	Unknown	PDF	N/A
InfoCon: Concept Discovery with Generative and Discriminative Informativeness	Unknown	PDF	N/A
Sparse Autoencoders Find Highly Interpretable Features in Language Models	Unknown	PDF	N/A
Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation	Unknown	PDF	N/A
Self-supervised Representation Learning from Random Data Projectors	Unknown	PDF	N/A
Dual-Encoders for Extreme Multi-label Classification	Unknown	PDF	N/A
Privileged Sensing Scaffolds Reinforcement Learning	Unknown	PDF	N/A
Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation	Unknown	PDF	N/A
Neural Auto-designer for Enhanced Quantum Kernels	Unknown	PDF	N/A
Fully Hyperbolic Convolutional Neural Networks for Computer Vision	Unknown	PDF	N/A
Cameras as Rays: Pose Estimation via Ray Diffusion	Unknown	PDF	N/A
Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy	Unknown	PDF	N/A
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive	Unknown	PDF	N/A
ResFields: Residual Neural Fields for Spatiotemporal Signals	Unknown	PDF	N/A
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors	Unknown	PDF	N/A
Prompt Gradient Projection for Continual Learning	Unknown	PDF	N/A
Vision-by-Language for Training-Free Compositional Image Retrieval	Unknown	PDF	N/A
Parallelizing non-linear sequential models over the sequence length	Unknown	PDF	N/A
Single Motion Diffusion	Unknown	PDF	N/A
Group Preference Optimization: Few-Shot Alignment of Large Language Models	Unknown	PDF	N/A
DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation	Unknown	PDF	N/A
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform	Unknown	PDF	N/A
SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs	Unknown	PDF	N/A
Feature Collapse	Unknown	PDF	N/A
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series	Unknown	PDF	N/A
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs	Unknown	PDF	N/A
Multi-Resolution Diffusion Models for Time Series Forecasting	Unknown	PDF	N/A
In-context Exploration-Exploitation for Reinforcement Learning	Unknown	PDF	N/A
Non-negative Contrastive Learning	Unknown	PDF	N/A
A Plug-and-Play Image Registration Network	Unknown	PDF	N/A
Model Merging by Uncertainty-Based Gradient Matching	Unknown	PDF	N/A
Idempotence and Perceptual Image Compression	Unknown	PDF	N/A
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation	Unknown	PDF	N/A
Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?	Unknown	PDF	N/A
Zero-Shot Robustification of Zero-Shot Models	Unknown	PDF	N/A
Uncertainty-aware Graph-based Hyperspectral Image Classification	Unknown	PDF	N/A
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents	Unknown	PDF	N/A
Towards image compression with perfect realism at ultra-low bitrates	Unknown	PDF	N/A
Learning Optimal Contracts: How to Exploit Small Action Spaces	Unknown	PDF	N/A
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets	Unknown	PDF	N/A
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs	Unknown	PDF	N/A
PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images	Unknown	PDF	N/A
Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes	Unknown	PDF	N/A
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization	Unknown	PDF	N/A
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets	Unknown	PDF	N/A
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference	Unknown	PDF	N/A
Test-Time Training on Nearest Neighbors for Large Language Models	Unknown	PDF	N/A
STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction	Unknown	PDF	N/A
Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization	Unknown	PDF	N/A
Critical Learning Periods Emerge Even in Deep Linear Networks	Unknown	PDF	N/A
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods	Unknown	PDF	N/A
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning	Unknown	PDF	N/A
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise	Unknown	PDF	N/A
Leveraging Unpaired Data for Vision-Language Generative Models via Cycle Consistency	Unknown	PDF	N/A
Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks	Unknown	PDF	N/A
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning	Unknown	PDF	N/A
Str2Str: A Score-based Framework for Zero-shot Protein Conformation Sampling	Unknown	PDF	N/A
PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks	Unknown	PDF	N/A
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing	Unknown	PDF	N/A
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs	Unknown	PDF	N/A
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization	Unknown	PDF	N/A
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing	Unknown	PDF	N/A
Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations	Unknown	PDF	N/A
Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning	Unknown	PDF	N/A
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation	Unknown	PDF	N/A
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift	Unknown	PDF	N/A
Investigating the Benefits of Projection Head for Representation Learning	Unknown	PDF	N/A
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation	Unknown	PDF	N/A
Stochastic Modified Equations and Dynamics of Dropout Algorithm	Unknown	PDF	N/A
Implicit Neural Representations and the Algebra of Complex Wavelets	Unknown	PDF	N/A
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature	Unknown	PDF	N/A
A Benchmark for Learning to Translate a New Language from One Grammar Book	Unknown	PDF	N/A
Conformal Inductive Graph Neural Networks	Unknown	PDF	N/A
Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation	Unknown	PDF	N/A
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning	Unknown	PDF	N/A
On the Limitations of Temperature Scaling for Distributions with Overlaps	Unknown	PDF	N/A
Unveiling and Manipulating Prompt Influence in Large Language Models	Unknown	PDF	N/A
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity	Unknown	PDF	N/A
LRM: Large Reconstruction Model for Single Image to 3D	Unknown	PDF	N/A
Generative Sliced MMD Flows with Riesz Kernels	Unknown	PDF	N/A
Kosmos-G: Generating Images in Context with Multimodal Large Language Models	Unknown	PDF	N/A
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?	Unknown	PDF	N/A
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection	Unknown	PDF	N/A
Self-Supervised Dataset Distillation for Transfer Learning	Unknown	PDF	N/A
Large-scale Training of Foundation Models for Wearable Biosignals	Unknown	PDF	N/A
Provably Robust Conformal Prediction with Improved Efficiency	Unknown	PDF	N/A
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks	Unknown	PDF	N/A
Adaptive Federated Learning with Auto-Tuned Clients	Unknown	PDF	N/A
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints	Unknown	PDF	N/A
DP-SGD Without Clipping: The Lipschitz Neural Network Way	Unknown	PDF	N/A
Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning	Unknown	PDF	N/A
OmniControl: Control Any Joint at Any Time for Human Motion Generation	Unknown	PDF	N/A
Leave-one-out Distinguishability in Machine Learning	Unknown	PDF	N/A
In defense of parameter sharing for model-compression	Unknown	PDF	N/A
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting	Unknown	PDF	N/A
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling	Unknown	PDF	N/A
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?	Unknown	PDF	N/A
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models	Unknown	PDF	N/A
OMNI: Open-endedness via Models of human Notions of Interestingness	Unknown	PDF	N/A
Risk Bounds of Accelerated SGD for Overparameterized Linear Regression	Unknown	PDF	N/A
The Hidden Language of Diffusion Models	Unknown	PDF	N/A
Distinguished In Uniform: Self-Attention Vs. Virtual Nodes	Unknown	PDF	N/A
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning	Unknown	PDF	N/A
Consistent Multi-Class Classification from Multiple Unlabeled Datasets	Unknown	PDF	N/A
Enhancing Instance-Level Image Classification with Set-Level Labels	Unknown	PDF	N/A
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources	Unknown	PDF	N/A
Coeditor: Leveraging Repo-level Diffs for Code Auto-editing	Unknown	PDF	N/A
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence	Unknown	PDF	N/A
Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks	Unknown	PDF	N/A
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty	Unknown	PDF	N/A
MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images	Unknown	PDF	N/A
Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos	Unknown	PDF	N/A
Leveraging Generative Models for Unsupervised Alignment of Neural Time Series Data	Unknown	PDF	N/A
TD-MPC2: Scalable, Robust World Models for Continuous Control	Unknown	PDF	N/A
AnyText: Multilingual Visual Text Generation and Editing	Unknown	PDF	N/A
LLM Augmented LLMs: Expanding Capabilities through Composition	Unknown	PDF	N/A
On the Provable Advantage of Unsupervised Pretraining	Unknown	PDF	N/A
Pooling Image Datasets with Multiple Covariate Shift and Imbalance	Unknown	PDF	N/A
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback	Unknown	PDF	N/A
Domain-Agnostic Molecular Generation with Chemical Feedback	Unknown	PDF	N/A
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection	Unknown	PDF	N/A
Quality-Diversity through AI Feedback	Unknown	PDF	N/A
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization	Unknown	PDF	N/A
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data	Unknown	PDF	N/A
Safe and Robust Watermark Injection with a Single OoD Image	Unknown	PDF	N/A
TOSS: High-quality Text-guided Novel View Synthesis from a Single Image	Unknown	PDF	N/A
Elucidating the design space of classifier-guided diffusion generation	Unknown	PDF	N/A
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer	Unknown	PDF	N/A
Periodicity Decoupling Framework for Long-term Series Forecasting	Unknown	PDF	N/A
General Stability Analysis for Zeroth-Order Optimization Algorithms	Unknown	PDF	N/A
The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning	Unknown	PDF	N/A
Think before you speak: Training Language Models With Pause Tokens	Unknown	PDF	N/A
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer	Unknown	PDF	N/A
Context is Environment	Unknown	PDF	N/A
Class Incremental Learning via Likelihood Ratio Based Task Prediction	Unknown	PDF	N/A
Denoising Diffusion Step-aware Models	Unknown	PDF	N/A
Noisy Interpolation Learning with Shallow Univariate ReLU Networks	Unknown	PDF	N/A
Initializing Models with Larger Ones	Unknown	PDF	N/A
HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion	Unknown	PDF	N/A
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection	Unknown	PDF	N/A
Benchmarking and Improving Generator-Validator Consistency of Language Models	Unknown	PDF	N/A
Language-Interfaced Tabular Oversampling via Progressive Imputation and Self-Authentication	Unknown	PDF	N/A
Counterfactual Density Estimation using Kernel Stein Discrepancies	Unknown	PDF	N/A
EQA-MX: Embodied Question Answering using Multimodal Expression	Unknown	PDF	N/A
Proper Laplacian Representation Learning	Unknown	PDF	N/A
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation	Unknown	PDF	N/A
Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling	Unknown	PDF	N/A
DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genomes	Unknown	PDF	N/A
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets	Unknown	PDF	N/A
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation	Unknown	PDF	N/A
PanoDiffusion: 360-degree Panorama Outpainting via Diffusion	Unknown	PDF	N/A
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts	Unknown	PDF	N/A
Making LLaMA SEE and Draw with SEED Tokenizer	Unknown	PDF	N/A
Removing Biases from Molecular Representations via Information Maximization	Unknown	PDF	N/A
Online Continual Learning for Interactive Instruction Following Agents	Unknown	PDF	N/A
Human Motion Diffusion as a Generative Prior	Unknown	PDF	N/A
Closing the Curious Case of Neural Text Degeneration	Unknown	PDF	N/A
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers	Unknown	PDF	N/A
Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability	Unknown	PDF	N/A
Stable Anisotropic Regularization	Unknown	PDF	N/A
A Framework for Inference Inspired by Human Memory Mechanisms	Unknown	PDF	N/A
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation	Unknown	PDF	N/A
PBADet: A One-Stage Anchor-Free Approach for Part-Body Association	Unknown	PDF	N/A
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors	Unknown	PDF	N/A
A Characterization Theorem for Equivariant Networks with Point-wise Activations	Unknown	PDF	N/A
Mirage: Model-agnostic Graph Distillation for Graph Classification	Unknown	PDF	N/A
Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow	Unknown	PDF	N/A
Faster Approximation of Probabilistic and Distributional Values via Least Squares	Unknown	PDF	N/A
Accelerating Sinkhorn algorithm with sparse Newton iterations	Unknown	PDF	N/A
Circuit Component Reuse Across Tasks in Transformer Language Models	Unknown	PDF	N/A
CORN: Contact-based Object Representation for Nonprehensile Manipulation of General Unseen Objects	Unknown	PDF	N/A
Neural-Symbolic Recursive Machine for Systematic Generalization	Unknown	PDF	N/A
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores	Unknown	PDF	N/A
Towards Establishing Guaranteed Error for Learned Database Operations	Unknown	PDF	N/A
Continuous Invariance Learning	Unknown	PDF	N/A
Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model	Unknown	PDF	N/A
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models	Unknown	PDF	N/A
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models	Unknown	PDF	N/A
Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking	Unknown	PDF	N/A
IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs	Unknown	PDF	N/A
Dynamic Discounted Counterfactual Regret Minimization	Unknown	PDF	N/A
Graphical Multioutput Gaussian Process with Attention	Unknown	PDF	N/A
RetroBridge: Modeling Retrosynthesis with Markov Bridges	Unknown	PDF	N/A
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks	Unknown	PDF	N/A
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game	Unknown	PDF	N/A
Few-Shot Detection of Machine-Generated Text using Style Representations	Unknown	PDF	N/A
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model	Unknown	PDF	N/A
Visual Data-Type Understanding does not emerge from scaling Vision-Language Models	Unknown	PDF	N/A
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction	Unknown	PDF	N/A
Reward Design for Justifiable Sequential Decision-Making	Unknown	PDF	N/A
Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors	Unknown	PDF	N/A
Generative Pre-training for Speech with Flow Matching	Unknown	PDF	N/A
Enhancing Neural Training via a Correlated Dynamics Model	Unknown	PDF	N/A
Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems	Unknown	PDF	N/A
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks	Unknown	PDF	N/A
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding	Unknown	PDF	N/A
Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks	Unknown	PDF	N/A
Graph Metanetworks for Processing Diverse Neural Architectures	Unknown	PDF	N/A
Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning	Unknown	PDF	N/A
TEDDY: Trimming Edges with Degree-based Discrimination Strategy	Unknown	PDF	N/A
A differentiable brain simulator bridging brain simulation and brain-inspired computing	Unknown	PDF	N/A
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation	Unknown	PDF	N/A
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems	Unknown	PDF	N/A
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model	Unknown	PDF	N/A
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings	Unknown	PDF	N/A
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data	Unknown	PDF	N/A
Efficient Planning with Latent Diffusion	Unknown	PDF	N/A
PAC Prediction Sets Under Label Shift	Unknown	PDF	N/A
Structural Fairness-aware Active Learning for Graph Neural Networks	Unknown	PDF	N/A
Scalable Neural Network Kernels	Unknown	PDF	N/A
Language Model Detectors Are Easily Optimized Against	Unknown	PDF	N/A
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models	Unknown	PDF	N/A
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning	Unknown	PDF	N/A
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs	Unknown	PDF	N/A
Neural Field Classifiers via Target Encoding and Classification Loss	Unknown	PDF	N/A
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data	Unknown	PDF	N/A
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution	Unknown	PDF	N/A
Coordinate-Aware Modulation for Neural Fields	Unknown	PDF	N/A
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data	Unknown	PDF	N/A
Do Generated Data Always Help Contrastive Learning?	Unknown	PDF	N/A
Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction	Unknown	PDF	N/A
An improved analysis of per-sample and per-update clipping in federated learning	Unknown	PDF	N/A
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing	Unknown	PDF	N/A
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding	Unknown	PDF	N/A
WizardCoder: Empowering Code Large Language Models with Evol-Instruct	Unknown	PDF	N/A
Numerical Accounting in the Shuffle Model of Differential Privacy	Unknown	PDF	N/A
Language Model Decoding as Direct Metrics Optimization	Unknown	PDF	N/A
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes	Unknown	PDF	N/A
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes	Unknown	PDF	N/A
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds	Unknown	PDF	N/A
Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks	Unknown	PDF	N/A
Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping	Unknown	PDF	N/A
Knowledge Fusion of Large Language Models	Unknown	PDF	N/A
Learning Multi-Agent Communication from Graph Modeling Perspective	Unknown	PDF	N/A
Evaluating Language Model Agency Through Negotiations	Unknown	PDF	N/A
SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos	Unknown	PDF	N/A
Overthinking the Truth: Understanding how Language Models Process False Demonstrations	Unknown	PDF	N/A
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models	Unknown	PDF	N/A
The mechanistic basis of data dependence and abrupt learning in an in-context classification task	Unknown	PDF	N/A
A Probabilistic Framework for Modular Continual Learning	Unknown	PDF	N/A
Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization	Unknown	PDF	N/A
Universal Backdoor Attacks	Unknown	PDF	N/A
DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations	Unknown	PDF	N/A
Sentence-level Prompts Benefit Composed Image Retrieval	Unknown	PDF	N/A
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory	Unknown	PDF	N/A
Are Human-generated Demonstrations Necessary for In-context Learning?	Unknown	PDF	N/A
Enabling Lanuguage Models to Implicitly Learn Self-Improvement	Unknown	PDF	N/A
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation	Unknown	PDF	N/A
Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset	Unknown	PDF	N/A
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks	Unknown	PDF	N/A
A Restoration Network as an Implicit Prior	Unknown	PDF	N/A
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations	Unknown	PDF	N/A
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration	Unknown	PDF	N/A
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement	Unknown	PDF	N/A
Test-time Adaptation against Multi-modal Reliability Bias	Unknown	PDF	N/A
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection	Unknown	PDF	N/A
GOAt: Explaining Graph Neural Networks via Graph Output Attribution	Unknown	PDF	N/A
RA-DIT: Retrieval-Augmented Dual Instruction Tuning	Unknown	PDF	N/A
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis	Unknown	PDF	N/A
Directly Fine-Tuning Diffusion Models on Differentiable Rewards	Unknown	PDF	N/A
OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views	Unknown	PDF	N/A
Efficiently Computing Similarities to Private Datasets	Unknown	PDF	N/A
Domain constraints improve risk prediction when outcome data is missing	Unknown	PDF	N/A
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning	Unknown	PDF	N/A
Multi-granularity Correspondence Learning from Long-term Noisy Videos	Unknown	PDF	N/A
LEAP: Liberate Sparse-View 3D Modeling from Camera Poses	Unknown	PDF	N/A
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization	Unknown	PDF	N/A
Beyond Stationarity: Convergence Analysis of Stochastic Softmax Policy Gradient Methods	Unknown	PDF	N/A
Skill or Luck? Return Decomposition via Advantage Functions	Unknown	PDF	N/A
Transport meets Variational Inference: Controlled Monte Carlo Diffusions	Unknown	PDF	N/A
Unsupervised Order Learning	Unknown	PDF	N/A
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation	Unknown	PDF	N/A
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms	Unknown	PDF	N/A
KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval	Unknown	PDF	N/A
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models	Unknown	PDF	N/A
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization	Unknown	PDF	N/A
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies	Unknown	PDF	N/A
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL	Unknown	PDF	N/A
Compressed Context Memory for Online Language Model Interaction	Unknown	PDF	N/A
Revisiting Link Prediction: a data perspective	Unknown	PDF	N/A
MINDE: Mutual Information Neural Diffusion Estimation	Unknown	PDF	N/A
Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments	Unknown	PDF	N/A
Achieving Human Parity in Content-Grounded Datasets Generation	Unknown	PDF	N/A
Contrastive Difference Predictive Coding	Unknown	PDF	N/A
Efficient-3Dim: Learning a Generalizable Single-image Novel-view Synthesizer in One Day	Unknown	PDF	N/A
Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks	Unknown	PDF	N/A
Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval	Unknown	PDF	N/A
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks	Unknown	PDF	N/A
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs	Unknown	PDF	N/A
BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation	Unknown	PDF	N/A
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning	Unknown	PDF	N/A
CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling	Unknown	PDF	N/A
Provably Efficient CVaR RL in Low-rank MDPs	Unknown	PDF	N/A
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation	Unknown	PDF	N/A
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators	Unknown	PDF	N/A
Improved Probabilistic Image-Text Representations	Unknown	PDF	N/A
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use	Unknown	PDF	N/A
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning	Unknown	PDF	N/A
Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers	Unknown	PDF	N/A
Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects	Unknown	PDF	N/A
LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment	Unknown	PDF	N/A
MogaNet: Multi-order Gated Aggregation Network	Unknown	PDF	N/A
Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders	Unknown	PDF	N/A
Towards Category Unification of 3D Single Object Tracking on Point Clouds	Unknown	PDF	N/A
SemiReward: A General Reward Model for Semi-supervised Learning	Unknown	PDF	N/A
Learning Hierarchical Polynomials with Three-Layer Neural Networks	Unknown	PDF	N/A
Graph Neural Networks for Learning Equivariant Representations of Neural Networks	Unknown	PDF	N/A
LEAD: Min-Max Optimization from a Physical Perspective	Unknown	PDF	N/A
Kalman Filter for Online Classification of Non-Stationary Data	Unknown	PDF	N/A
AlpaGasus: Training a Better Alpaca with Fewer Data	Unknown	PDF	N/A
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design	Unknown	PDF	N/A
What does automatic differentiation compute for neural networks?	Unknown	PDF	N/A
Unbiased Watermark for Large Language Models	Unknown	PDF	N/A
Self-Consuming Generative Models Go MAD	Unknown	PDF	N/A
Out-of-Distribution Detection with Negative Prompts	Unknown	PDF	N/A
STARC: A General Framework For Quantifying Differences Between Reward Functions	Unknown	PDF	N/A
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions	Unknown	PDF	N/A
Theoretical Understanding of Learning from Adversarial Perturbations	Unknown	PDF	N/A
Time Fairness in Online Knapsack Problems	Unknown	PDF	N/A
Attacking Perceptual Similarity Metrics	Unknown	PDF	N/A
A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER	Unknown	PDF	N/A
GPAvatar: Generalizable and Precise Head Avatar from Image(s)	Unknown	PDF	N/A
Chain-of-Experts: When LLMs Meet Complex Operations Research Problems	Unknown	PDF	N/A
StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning	Unknown	PDF	N/A
TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning	Unknown	PDF	N/A
Behaviour Distillation	Unknown	PDF	N/A
$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States	Unknown	PDF	N/A
Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain	Unknown	PDF	N/A
Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control	Unknown	PDF	N/A
Debiasing Algorithm through Model Adaptation	Unknown	PDF	N/A
On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models	Unknown	PDF	N/A
Clifford Group Equivariant Simplicial Message Passing Networks	Unknown	PDF	N/A
A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality	Unknown	PDF	N/A
Don't Play Favorites: Minority Guidance for Diffusion Models	Unknown	PDF	N/A
Mitigating Emergent Robustness Degradation while Scaling Graph Learning	Unknown	PDF	N/A
Frequency-Aware Transformer for Learned Image Compression	Unknown	PDF	N/A
Causally Aligned Curriculum Learning	Unknown	PDF	N/A
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction	Unknown	PDF	N/A
ED-NeRF: Efficient Text-Guided Editing of 3D Scene With Latent Space NeRF	Unknown	PDF	N/A
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models	Unknown	PDF	N/A
FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling	Unknown	PDF	N/A
CAMBranch: Contrastive Learning with Augmented MILPs for Branching	Unknown	PDF	N/A
Cycle Consistency Driven Object Discovery	Unknown	PDF	N/A
YaRN: Efficient Context Window Extension of Large Language Models	Unknown	PDF	N/A
CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding	Unknown	PDF	N/A
AgentBench: Evaluating LLMs as Agents	Unknown	PDF	N/A
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks	Unknown	PDF	N/A
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints	Unknown	PDF	N/A
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning	Unknown	PDF	N/A
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control	Unknown	PDF	N/A
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs	Unknown	PDF	N/A
A Multi-Level Framework for Accelerating Training Transformer Models	Unknown	PDF	N/A
Supervised Knowledge Makes Large Language Models Better In-context Learners	Unknown	PDF	N/A
VQ-TR: Vector Quantized Attention for Time Series Forecasting	Unknown	PDF	N/A
Aligning Relational Learning with Lipschitz Fairness	Unknown	PDF	N/A
Understanding In-Context Learning from Repetitions	Unknown	PDF	N/A
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching	Unknown	PDF	N/A
Training Unbiased Diffusion Models From Biased Dataset	Unknown	PDF	N/A
DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation	Unknown	PDF	N/A
Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation	Unknown	PDF	N/A
Conversational Drug Editing Using Retrieval and Domain Feedback	Unknown	PDF	N/A
Discovering Temporally-Aware Reinforcement Learning Algorithms	Unknown	PDF	N/A
A Precise Characterization of SGD Stability Using Loss Surface Geometry	Unknown	PDF	N/A
The Expressive Power of Transformers with Chain of Thought	Unknown	PDF	N/A
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel	Unknown	PDF	N/A
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs	Unknown	PDF	N/A
Input-gradient space particle inference for neural network ensembles	Unknown	PDF	N/A
Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features	Unknown	PDF	N/A
Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models	Unknown	PDF	N/A
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection	Unknown	PDF	N/A
What Matters to You? Towards Visual Representation Alignment for Robot Learning	Unknown	PDF	N/A
MOFI: Learning Image Representations from Noisy Entity Annotated Images	Unknown	PDF	N/A
Large Language Models as Automated Aligners for benchmarking Vision-Language Models	Unknown	PDF	N/A
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data	Unknown	PDF	N/A
Hypergraph Dynamic System	Unknown	PDF	N/A
Elucidating the Exposure Bias in Diffusion Models	Unknown	PDF	N/A
SPDER: Semiperiodic Damping-Enabled Object Representation	Unknown	PDF	N/A
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints	Unknown	PDF	N/A
MagicDrive: Street View Generation with Diverse 3D Geometry Control	Unknown	PDF	N/A
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis	Unknown	PDF	N/A
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation	Unknown	PDF	N/A
DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks	Unknown	PDF	N/A
SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation	Unknown	PDF	N/A
Leveraging Uncertainty Estimates To Improve Classifier Performance	Unknown	PDF	N/A
Learning Planning Abstractions from Language	Unknown	PDF	N/A
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection	Unknown	PDF	N/A
Fast Ensembling with Diffusion Schrödinger Bridge	Unknown	PDF	N/A
Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data	Unknown	PDF	N/A
L2P-MIP: Learning to Presolve for Mixed Integer Programming	Unknown	PDF	N/A
Neurosymbolic Grounding for Compositional World Models	Unknown	PDF	N/A
Momentum Benefits Non-iid Federated Learning Simply and Provably	Unknown	PDF	N/A
Making Pre-trained Language Models Great on Tabular Prediction	Unknown	PDF	N/A
Multimodal Patient Representation Learning with Missing Modalities and Labels	Unknown	PDF	N/A
Feature-aligned N-BEATS with Sinkhorn divergence	Unknown	PDF	N/A
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning	Unknown	PDF	N/A
Video Decomposition Prior: Editing Videos Layer by Layer	Unknown	PDF	N/A
New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions	Unknown	PDF	N/A
Subtractive Mixture Models via Squaring: Representation and Learning	Unknown	PDF	N/A
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models	Unknown	PDF	N/A
Bridging Vision and Language Spaces with Assignment Prediction	Unknown	PDF	N/A
Modulate Your Spectrum in Self-Supervised Learning	Unknown	PDF	N/A
LLM-Assisted Code Cleaning For Training Accurate Code Generators	Unknown	PDF	N/A
Implicit bias of SGD in $L_2$-regularized linear DNNs: One-way jumps from high to low rank	Unknown	PDF	N/A
Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity	Unknown	PDF	N/A
On the Variance of Neural Network Training with respect to Test Sets and Distributions	Unknown	PDF	N/A
Graph Parsing Networks	Unknown	PDF	N/A
Optimal transport based adversarial patch to leverage large scale attack transferability	Unknown	PDF	N/A
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation	Unknown	PDF	N/A
Orbit-Equivariant Graph Neural Networks	Unknown	PDF	N/A
Perceptual Group Tokenizer: Building Perception with Iterative Grouping	Unknown	PDF	N/A
R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning	Unknown	PDF	N/A
Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization	Unknown	PDF	N/A
Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification	Unknown	PDF	N/A
Dropout-Based Rashomon Set Exploration for Efficient Predictive Multiplicity Estimation	Unknown	PDF	N/A
More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory	Unknown	PDF	N/A
An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression	Unknown	PDF	N/A
Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning	Unknown	PDF	N/A
Masked Distillation Advances Self-Supervised Transformer Architecture Search	Unknown	PDF	N/A
Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction	Unknown	PDF	N/A
End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon	Unknown	PDF	N/A
Don't Judge by the Look: Towards Motion Coherent Video Representation	Unknown	PDF	N/A
Submodular Reinforcement Learning	Unknown	PDF	N/A
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training	Unknown	PDF	N/A
Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs	Unknown	PDF	N/A
Noise Map Guidance: Inversion with Spatial Context for Real Image Editing	Unknown	PDF	N/A
A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables	Unknown	PDF	N/A
Inherently Interpretable Time Series Classification via Multiple Instance Learning	Unknown	PDF	N/A
Consistent algorithms for multi-label classification with macro-at-$k$ metrics	Unknown	PDF	N/A
KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement	Unknown	PDF	N/A
MOTOR: A Time-to-Event Foundation Model For Structured Medical Records	Unknown	PDF	N/A
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit	Unknown	PDF	N/A
Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis	Unknown	PDF	N/A
Light Schrödinger Bridge	Unknown	PDF	N/A
Learning with Mixture of Prototypes for Out-of-Distribution Detection	Unknown	PDF	N/A
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning	Unknown	PDF	N/A
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?	Unknown	PDF	N/A
Efficient Continual Finite-Sum Minimization	Unknown	PDF	N/A
Adversarial Training Should Be Cast as a Non-Zero-Sum Game	Unknown	PDF	N/A
Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness	Unknown	PDF	N/A
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts	Unknown	PDF	N/A
Magnitude Invariant Parametrizations Improve Hypernetwork Learning	Unknown	PDF	N/A
Building Cooperative Embodied Agents Modularly with Large Language Models	Unknown	PDF	N/A
Towards Robust Multi-Modal Reasoning via Model Selection	Unknown	PDF	N/A
The optimality of kernel classifiers in Sobolev space	Unknown	PDF	N/A
Proving Test Set Contamination in Black-Box Language Models	Unknown	PDF	N/A
SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression	Unknown	PDF	N/A
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video	Unknown	PDF	N/A
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing	Unknown	PDF	N/A
Learning model uncertainty as variance-minimizing instance weights	Unknown	PDF	N/A
A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation	Unknown	PDF	N/A
Toward effective protection against diffusion-based mimicry through score distillation	Unknown	PDF	N/A
Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning	Unknown	PDF	N/A
Multi-View Representation is What You Need for Point-Cloud Pre-Training	Unknown	PDF	N/A
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization	Unknown	PDF	N/A
Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning	Unknown	PDF	N/A
Designing Skill-Compatible AI: Methodologies and Frameworks in Chess	Unknown	PDF	N/A
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization	Unknown	PDF	N/A
LDReg: Local Dimensionality Regularized Self-Supervised Learning	Unknown	PDF	N/A
Large Brain Model for Learning Generic Representations with Tremendous EEG Data in BCI	Unknown	PDF	N/A
Mixture of LoRA Experts	Unknown	PDF	N/A
KoLA: Carefully Benchmarking World Knowledge of Large Language Models	Unknown	PDF	N/A
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images	Unknown	PDF	N/A
Knowledge Distillation Based on Transformed Teacher Matching	Unknown	PDF	N/A
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models	Unknown	PDF	N/A
Pseudo-Generalized Dynamic View Synthesis from a Video	Unknown	PDF	N/A
Massively Scalable Inverse Reinforcement Learning in Google Maps	Unknown	PDF	N/A
Improved sampling via learned diffusions	Unknown	PDF	N/A
Learning Polynomial Problems with $SL(2, \mathbb{R})$-Equivariance	Unknown	PDF	N/A
On the hardness of learning under symmetries	Unknown	PDF	N/A
Talk like a Graph: Encoding Graphs for Large Language Models	Unknown	PDF	N/A
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners	Unknown	PDF	N/A
Image Inpainting via Iteratively Decoupled Probabilistic Modeling	Unknown	PDF	N/A
Maximum Entropy Heterogeneous-Agent Reinforcement Learning	Unknown	PDF	N/A
Nougat: Neural Optical Understanding for Academic Documents	Unknown	PDF	N/A
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients	Unknown	PDF	N/A
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis	Unknown	PDF	N/A
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models	Unknown	PDF	N/A
PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks	Unknown	PDF	N/A
Deep Temporal Graph Clustering	Unknown	PDF	N/A
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation	Unknown	PDF	N/A
On the Reliability of Watermarks for Large Language Models	Unknown	PDF	N/A
Universal Guidance for Diffusion Models	Unknown	PDF	N/A
NEFTune: Noisy Embeddings Improve Instruction Finetuning	Unknown	PDF	N/A
Entropy Coding of Unordered Data Structures	Unknown	PDF	N/A
A Semantic Invariant Robust Watermark for Large Language Models	Unknown	PDF	N/A
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents	Unknown	PDF	N/A
Long-tailed Diffusion Models with Oriented Calibration	Unknown	PDF	N/A
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations	Unknown	PDF	N/A
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models	Unknown	PDF	N/A
Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response	Unknown	PDF	N/A
Retrieval is Accurate Generation	Unknown	PDF	N/A
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks	Unknown	PDF	N/A
Consistency-guided Prompt Learning for Vision-Language Models	Unknown	PDF	N/A
Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks	Unknown	PDF	N/A
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression	Unknown	PDF	N/A
Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace	Unknown	PDF	N/A
An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment	Unknown	PDF	N/A
De novo Protein Design Using Geometric Vector Field Networks	Unknown	PDF	N/A
Sample-Efficient Quality-Diversity by Cooperative Coevolution	Unknown	PDF	N/A
Weakly-supervised Audio Separation via Bi-modal Semantic Similarity	Unknown	PDF	N/A
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization	Unknown	PDF	N/A
Adversarial Feature Map Pruning for Backdoor	Unknown	PDF	N/A
Toward Student-oriented Teacher Network Training for Knowledge Distillation	Unknown	PDF	N/A
Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference	Unknown	PDF	N/A
Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula	Unknown	PDF	N/A
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models	Unknown	PDF	N/A
Backdoor Contrastive Learning via Bi-level Trigger Optimization	Unknown	PDF	N/A
Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning	Unknown	PDF	N/A
Towards Cheaper Inference in Deep Networks with Lower Bit-Width Accumulators	Unknown	PDF	N/A
BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs	Unknown	PDF	N/A
Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency	Unknown	PDF	N/A
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models	Unknown	PDF	N/A
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation	Unknown	PDF	N/A
Parsing neural dynamics with infinite recurrent switching linear dynamical systems	Unknown	PDF	N/A
Chain of Hindsight aligns Language Models with Feedback	Unknown	PDF	N/A
Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search	Unknown	PDF	N/A
Headless Language Models: Learning without Predicting with Contrastive Weight Tying	Unknown	PDF	N/A
MAP IT to Visualize Representations	Unknown	PDF	N/A
Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning	Unknown	PDF	N/A
Revisiting Data Augmentation in Deep Reinforcement Learning	Unknown	PDF	N/A
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback	Unknown	PDF	N/A
Doubly Robust Instance-Reweighted Adversarial Training	Unknown	PDF	N/A
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets	Unknown	PDF	N/A
Generative Judge for Evaluating Alignment	Unknown	PDF	N/A
Demystifying Linear MDPs and Novel Dynamics Aggregation Framework	Unknown	PDF	N/A
Language Modeling Is Compression	Unknown	PDF	N/A
The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World	Unknown	PDF	N/A
Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts	Unknown	PDF	N/A
An Extensible Framework for Open Heterogeneous Collaborative Perception	Unknown	PDF	N/A
On the Joint Interaction of Models, Data, and Features	Unknown	PDF	N/A
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis	Unknown	PDF	N/A
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks	Unknown	PDF	N/A
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach	Unknown	PDF	N/A
Replay across Experiments: A Natural Extension of Off-Policy RL	Unknown	PDF	N/A
FeatUp: A Model-Agnostic Framework for Features at Any Resolution	Unknown	PDF	N/A
COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery	Unknown	PDF	N/A
Training Socially Aligned Language Models on Simulated Social Interactions	Unknown	PDF	N/A
Diverse Projection Ensembles for Distributional Reinforcement Learning	Unknown	PDF	N/A
CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction	Unknown	PDF	N/A
SafeDreamer: Safe Reinforcement Learning with World Models	Unknown	PDF	N/A
Optimal Sample Complexity of Contrastive Learning	Unknown	PDF	N/A
CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot Text-to-Speech	Unknown	PDF	N/A
Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs	Unknown	PDF	N/A
Enhanced Face Recognition using Intra-class Incoherence Constraint	Unknown	PDF	N/A
Global Optimality for Non-linear Constrained Restoration Problems via Invexity	Unknown	PDF	N/A
Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework	Unknown	PDF	N/A
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process	Unknown	PDF	N/A
GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors	Unknown	PDF	N/A
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity	Unknown	PDF	N/A
Mask-Based Modeling for Neural Radiance Fields	Unknown	PDF	N/A
MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection	Unknown	PDF	N/A
Towards Understanding Sycophancy in Language Models	Unknown	PDF	N/A
Algorithms for Caching and MTS with reduced number of predictions	Unknown	PDF	N/A
Learning to reconstruct signals from binary measurements alone	Unknown	PDF	N/A
Multi-Source Diffusion Models for Simultaneous Music Generation and Separation	Unknown	PDF	N/A
$\pi$2vec: Policy Representation with Successor Features	Unknown	PDF	N/A
SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning	Unknown	PDF	N/A
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach	Unknown	PDF	N/A
Conditional Variational Diffusion Models	Unknown	PDF	N/A
Can LLM-Generated Misinformation Be Detected?	Unknown	PDF	N/A
Pre-training LiDAR-based 3D Object Detectors through Colorization	Unknown	PDF	N/A
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods	Unknown	PDF	N/A
Matrix Manifold Neural Networks++	Unknown	PDF	N/A
Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel	Unknown	PDF	N/A
Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs	Unknown	PDF	N/A
Optimistic Bayesian Optimization with Unknown Constraints	Unknown	PDF	N/A
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs	Unknown	PDF	N/A
Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks	Unknown	PDF	N/A
Personalize Segment Anything Model with One Shot	Unknown	PDF	N/A
On the generalization capacity of neural networks during generic multimodal reasoning	Unknown	PDF	N/A
Rethinking and Extending the Probabilistic Inference Capacity of GNNs	Unknown	PDF	N/A
The Expressive Power of Low-Rank Adaptation	Unknown	PDF	N/A
Multi-Scale Representations by Varying Window Attention for Semantic Segmentation	Unknown	PDF	N/A
Retrieval meets Long Context Large Language Models	Unknown	PDF	N/A
Dynamic Layer Tying for Parameter-Efficient Transformers	Unknown	PDF	N/A
Simplifying Transformer Blocks	Unknown	PDF	N/A
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning	Unknown	PDF	N/A
A Branching Decoder for Set Generation	Unknown	PDF	N/A
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping	Unknown	PDF	N/A
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining	Unknown	PDF	N/A
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks	Unknown	PDF	N/A
Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling	Unknown	PDF	N/A
Path Choice Matters for Clear Attributions in Path Methods	Unknown	PDF	N/A
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions	Unknown	PDF	N/A
Estimating Shape Distances on Neural Representations with Limited Samples	Unknown	PDF	N/A
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models	Unknown	PDF	N/A
Object centric architectures enable efficient causal representation learning	Unknown	PDF	N/A
Pre-Training and Fine-Tuning Generative Flow Networks	Unknown	PDF	N/A
Topological data analysis on noisy quantum computers	Unknown	PDF	N/A
LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection	Unknown	PDF	N/A
Variational Inference for SDEs Driven by Fractional Noise	Unknown	PDF	N/A
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections	Unknown	PDF	N/A
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving	Unknown	PDF	N/A
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity	Unknown	PDF	N/A
Debiased Collaborative Filtering with Kernel-Based Causal Balancing	Unknown	PDF	N/A
Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models	Unknown	PDF	N/A
Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency	Unknown	PDF	N/A
Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited	Unknown	PDF	N/A
S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic	Unknown	PDF	N/A
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent	Unknown	PDF	N/A
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors	Unknown	PDF	N/A
SEA: Sparse Linear Attention with Estimated Attention Mask	Unknown	PDF	N/A
Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit	Unknown	PDF	N/A
Goodhart's Law in Reinforcement Learning	Unknown	PDF	N/A
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion	Unknown	PDF	N/A
An Emulator for Fine-tuning Large Language Models using Small Language Models	Unknown	PDF	N/A
Neural Optimal Transport with General Cost Functionals	Unknown	PDF	N/A
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks	Unknown	PDF	N/A
COLLIE: Systematic Construction of Constrained Text Generation Tasks	Unknown	PDF	N/A
SWE-bench: Can Language Models Resolve Real-world Github Issues?	Unknown	PDF	N/A
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing	Unknown	PDF	N/A
At Which Training Stage Does Code Data Help LLMs Reasoning?	Unknown	PDF	N/A
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs	Unknown	PDF	N/A
Expressive Losses for Verified Robustness via Convex Combinations	Unknown	PDF	N/A
Language Model Cascades: Token-Level Uncertainty And Beyond	Unknown	PDF	N/A
A Linear Algebraic Framework for Counterfactual Generation	Unknown	PDF	N/A
Learning to Reject Meets Long-tail Learning	Unknown	PDF	N/A
Faithful Rule Extraction for Differentiable Rule Learning Models	Unknown	PDF	N/A
Quantifying Network Similarity using Graph Cumulants	Unknown	PDF	N/A
Grokking as a First Order Phase Transition in Two Layer Networks	Unknown	PDF	N/A
Feature emergence via margin maximization: case studies in algebraic tasks	Unknown	PDF	N/A
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling	Unknown	PDF	N/A
HyperAttention: Long-context Attention in Near-Linear Time	Unknown	PDF	N/A
An operator preconditioning perspective on training in physics-informed machine learning	Unknown	PDF	N/A
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection	Unknown	PDF	N/A
Confidential-DPproof: Confidential Proof of Differentially Private Training	Unknown	PDF	N/A
Hindsight PRIORs for Reward Learning from Human Preferences	Unknown	PDF	N/A
A Hierarchical Bayesian Model for Few-Shot Meta Learning	Unknown	PDF	N/A
The Alignment Problem from a Deep Learning Perspective	Unknown	PDF	N/A
Neural Fine-Tuning Search for Few-Shot Learning	Unknown	PDF	N/A
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis	Unknown	PDF	N/A
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework	Unknown	PDF	N/A
DIG In: Evaluating Disparities in Image Generations with Indicators for Geographic Diversity	Unknown	PDF	N/A
Memorization in Self-Supervised Learning Improves Downstream Generalization	Unknown	PDF	N/A
Neural Active Learning Beyond Bandits	Unknown	PDF	N/A
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch	Unknown	PDF	N/A
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting	Unknown	PDF	N/A
Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting	Unknown	PDF	N/A
EasyTPP: Towards Open Benchmarking Temporal Point Processes	Unknown	PDF	N/A
Explaining Time Series via Contrastive and Locally Sparse Perturbations	Unknown	PDF	N/A
Pathologies of Predictive Diversity in Deep Ensembles	Unknown	PDF	N/A
Detecting Pretraining Data from Large Language Models	Unknown	PDF	N/A
In-Context Pretraining: Language Modeling Beyond Document Boundaries	Unknown	PDF	N/A
RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation	Unknown	PDF	N/A
A Fast and Provable Algorithm for Sparse Phase Retrieval	Unknown	PDF	N/A
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore	Unknown	PDF	N/A
Multilingual Jailbreak Challenges in Large Language Models	Unknown	PDF	N/A
Lemur: Harmonizing Natural Language and Code for Language Agents	Unknown	PDF	N/A
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models	Unknown	PDF	N/A
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing	Unknown	PDF	N/A
Window Attention is Bugged: How not to Interpolate Position Embeddings	Unknown	PDF	N/A
Sharpness-Aware Data Poisoning Attack	Unknown	PDF	N/A
NetInfoF Framework: Measuring and Exploiting Network Usable Information	Unknown	PDF	N/A
Faster Sampling from Log-Concave Densities over Polytopes via Efficient Linear Solvers	Unknown	PDF	N/A
Learning to Reject with a Fixed Predictor: Application to Decontextualization	Unknown	PDF	N/A
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective	Unknown	PDF	N/A
A 2-Dimensional State Space Layer for Spatial Inductive Bias	Unknown	PDF	N/A
High-dimensional SGD aligns with emerging outlier eigenspaces	Unknown	PDF	N/A
A Unified and General Framework for Continual Learning	Unknown	PDF	N/A
Dynamic Neural Response Tuning	Unknown	PDF	N/A
Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization	Unknown	PDF	N/A
BatchPrompt: Accomplish more with less	Unknown	PDF	N/A
CODE REPRESENTATION LEARNING AT SCALE	Unknown	PDF	N/A
Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors	Unknown	PDF	N/A
Forward Learning of Graph Neural Networks	Unknown	PDF	N/A
Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning	Unknown	PDF	N/A
AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference	Unknown	PDF	N/A
One Forward is Enough for Neural Network Training via Likelihood Ratio Method	Unknown	PDF	N/A
TorchRL: A data-driven decision-making library for PyTorch	Unknown	PDF	N/A
SweetDreamer: Aligning Geometric Priors in 2D diffusion for Consistent Text-to-3D	Unknown	PDF	N/A
CellPLM: Pre-training of Cell Language Model Beyond Single Cells	Unknown	PDF	N/A
MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning	Unknown	PDF	N/A
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations	Unknown	PDF	N/A
Counting Graph Substructures with Graph Neural Networks	Unknown	PDF	N/A
Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes	Unknown	PDF	N/A
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain	Unknown	PDF	N/A
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment	Unknown	PDF	N/A
In-Context Learning through the Bayesian Prism	Unknown	PDF	N/A
Improving Domain Generalization with Domain Relations	Unknown	PDF	N/A
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models	Unknown	PDF	N/A
Zoology: Measuring and Improving Recall in Efficient Language Models	Unknown	PDF	N/A
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models	Unknown	PDF	N/A
TRAM: Bridging Trust Regions and Sharpness Aware Minimization	Unknown	PDF	N/A
Holistic Evaluation of Language Models	Unknown	PDF	N/A
MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design	Unknown	PDF	N/A
Temporal Generalization Estimation in Evolving Graphs	Unknown	PDF	N/A
The Curse of Diversity in Ensemble-Based Exploration	Unknown	PDF	N/A
Beam Enumeration: Probabilistic Explainability For Sample Efficient Self-conditioned Molecular Design	Unknown	PDF	N/A
DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization	Unknown	PDF	N/A
Self-Alignment with Instruction Backtranslation	Unknown	PDF	N/A
Denoising Task Routing for Diffusion Models	Unknown	PDF	N/A
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps	Unknown	PDF	N/A
DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation	Unknown	PDF	N/A
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection	Unknown	PDF	N/A
TapMo: Shape-aware Motion Generation of Skeleton-free Characters	Unknown	PDF	N/A
Embarrassingly Simple Dataset Distillation	Unknown	PDF	N/A
Pose Modulated Avatars from Video	Unknown	PDF	N/A
SaProt: Protein Language Modeling with Structure-aware Vocabulary	Unknown	PDF	N/A
DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model	Unknown	PDF	N/A
MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field	Unknown	PDF	N/A
CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery	Unknown	PDF	N/A
Two-timescale Extragradient for Finding Local Minimax Points	Unknown	PDF	N/A
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss	Unknown	PDF	N/A
Contextual Bandits with Online Neural Regression	Unknown	PDF	N/A
Predictive auxiliary objectives in deep RL mimic learning in the brain	Unknown	PDF	N/A
Mathematical Justification of Hard Negative Mining via Isometric Approximation Theorem	Unknown	PDF	N/A
Score Regularized Policy Optimization through Diffusion Behavior	Unknown	PDF	N/A
Amortizing intractable inference in large language models	Unknown	PDF	N/A
WildChat: 1M ChatGPT Interaction Logs in the Wild	Unknown	PDF	N/A
Real-Fake: Effective Training Data Synthesis Through Distribution Matching	Unknown	PDF	N/A
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference	Unknown	PDF	N/A
DAM: Towards a Foundation Model for Forecasting	Unknown	PDF	N/A
CPPO: Continual Learning for Reinforcement Learning with Human Feedback	Unknown	PDF	N/A
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks	Unknown	PDF	N/A
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation	Unknown	PDF	N/A
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning	Unknown	PDF	N/A
Grounded Object-Centric Learning	Unknown	PDF	N/A
Generalization in diffusion models arises from geometry-adaptive harmonic representations	Unknown	PDF	N/A
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis	Unknown	PDF	N/A
Robust NAS under adversarial training: benchmark, theory, and beyond	Unknown	PDF	N/A
SE(3)-Stochastic Flow Matching for Protein Backbone Generation	Unknown	PDF	N/A
Future Language Modeling from Temporal Document History	Unknown	PDF	N/A
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval	Unknown	PDF	N/A
SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem	Unknown	PDF	N/A
Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL	Unknown	PDF	N/A
ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference	Unknown	PDF	N/A
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation	Unknown	PDF	N/A
One-shot Empirical Privacy Estimation for Federated Learning	Unknown	PDF	N/A
Learning to Act from Actionless Videos through Dense Correspondences	Unknown	PDF	N/A
The False Promise of Imitating Proprietary Language Models	Unknown	PDF	N/A
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity	Unknown	PDF	N/A
Learning From Simplicial Data Based on Random Walks and 1D Convolutions	Unknown	PDF	N/A
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects	Unknown	PDF	N/A
Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods	Unknown	PDF	N/A
Large Language Models to Enhance Bayesian Optimization	Unknown	PDF	N/A
PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction	Unknown	PDF	N/A
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization	Unknown	PDF	N/A
Towards Transparent Time Series Forecasting	Unknown	PDF	N/A
Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective	Unknown	PDF	N/A
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes	Unknown	PDF	N/A
Traveling Waves Encode The Recent Past and Enhance Sequence Learning	Unknown	PDF	N/A
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks	Unknown	PDF	N/A
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series	Unknown	PDF	N/A
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention	Unknown	PDF	N/A
GROOT: Learning to Follow Instructions by Watching Gameplay Videos	Unknown	PDF	N/A
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems	Unknown	PDF	N/A
DreamFlow: High-quality text-to-3D generation by Approximating Probability Flow	Unknown	PDF	N/A
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge	Unknown	PDF	N/A
Exploring Diffusion Time-steps for Unsupervised Representation Learning	Unknown	PDF	N/A
DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation	Unknown	PDF	N/A
FROSTER: Frozen CLIP is A Strong Teacher for Open-Vocabulary Action Recognition	Unknown	PDF	N/A
Understanding Catastrophic Forgetting in Language Models via Implicit Inference	Unknown	PDF	N/A
Training Diffusion Models with Reinforcement Learning	Unknown	PDF	N/A
Shadow Cones: A Generalized Framework for Partial Order Embeddings	Unknown	PDF	N/A
Curriculum reinforcement learning for quantum architecture search under hardware errors	Unknown	PDF	N/A
Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline	Unknown	PDF	N/A
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging	Unknown	PDF	N/A
Data Debugging with Shapley Importance over Machine Learning Pipelines	Unknown	PDF	N/A
Probabilistically Rewired Message-Passing Neural Networks	Unknown	PDF	N/A
Motif: Intrinsic Motivation from Artificial Intelligence Feedback	Unknown	PDF	N/A
Empirical Likelihood for Fair Classification	Unknown	PDF	N/A
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation	Unknown	PDF	N/A
Deep Reinforcement Learning for Modelling Protein Complexes	Unknown	PDF	N/A
Hypothesis Search: Inductive Reasoning with Language Models	Unknown	PDF	N/A
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks	Unknown	PDF	N/A
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation	Unknown	PDF	N/A
Learning to Embed Time Series Patches Independently	Unknown	PDF	N/A
Horizon-Free Regret for Linear Markov Decision Processes	Unknown	PDF	N/A
Soft Contrastive Learning for Time Series	Unknown	PDF	N/A
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark	Unknown	PDF	N/A
Mixture of Weak and Strong Experts on Graphs	Unknown	PDF	N/A
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood	Unknown	PDF	N/A
Balancing Act: Constraining Disparate Impact in Sparse Models	Unknown	PDF	N/A
Machine Unlearning for Image-to-Image Generative Models	Unknown	PDF	N/A
Flow Matching on General Geometries	Unknown	PDF	N/A
LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading	Unknown	PDF	N/A
Emu: Generative Pretraining in Multimodality	Unknown	PDF	N/A
Bespoke Solvers for Generative Flow Models	Unknown	PDF	N/A
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning	Unknown	PDF	N/A
Kernelised Normalising Flows	Unknown	PDF	N/A
Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How	Unknown	PDF	N/A
Workflow Discovery from Dialogues in the Low Data Regime	Unknown	PDF	N/A
Stabilizing Backpropagation Through Time to Learn Complex Physics	Unknown	PDF	N/A
DittoGym: Learning to Control Soft Shape-Shifting Robots	Unknown	PDF	N/A
Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models	Unknown	PDF	N/A
Zero-Shot Robotic Manipulation with Pre-Trained Image-Editing Diffusion Models	Unknown	PDF	N/A
Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks	Unknown	PDF	N/A
VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation	Unknown	PDF	N/A
SEPT: Towards Efficient Scene Representation Learning for Motion Prediction	Unknown	PDF	N/A
Selective Visual Representations Improve Convergence and Generalization for Embodied AI	Unknown	PDF	N/A
Generalization of Scaled Deep ResNets in the Mean-Field Regime	Unknown	PDF	N/A
BrainLM: A foundation model for brain activity recordings	Unknown	PDF	N/A
MgNO: Efficient Parameterization of Linear Operators via Multigrid	Unknown	PDF	N/A
The Generalization Gap in Offline Reinforcement Learning	Unknown	PDF	N/A
Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting	Unknown	PDF	N/A
Teaching Language Models to Hallucinate Less with Synthetic Tasks	Unknown	PDF	N/A
Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D	Unknown	PDF	N/A
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series	Unknown	PDF	N/A
Neural Polynomial Gabor Fields for Macro Motion Analysis	Unknown	PDF	N/A
To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets	Unknown	PDF	N/A
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals	Unknown	PDF	N/A
Teaching Large Language Models to Self-Debug	Unknown	PDF	N/A
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction	Unknown	PDF	N/A
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold	Unknown	PDF	N/A
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations	Unknown	PDF	N/A
What's in a Prior? Learned Proximal Networks for Inverse Problems	Unknown	PDF	N/A
Large Language Models as Optimizers	Unknown	PDF	N/A
Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation	Unknown	PDF	N/A
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking	Unknown	PDF	N/A
One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention	Unknown	PDF	N/A
Large Language Models Cannot Self-Correct Reasoning Yet	Unknown	PDF	N/A
Incentivized Truthful Communication for Federated Bandits	Unknown	PDF	N/A
Identifying Policy Gradient Subspaces	Unknown	PDF	N/A
H-GAP: Humanoid Control with a Generalist Planner	Unknown	PDF	N/A
Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values	Unknown	PDF	N/A
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models	Unknown	PDF	N/A
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models	Unknown	PDF	N/A
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks	Unknown	PDF	N/A
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation	Unknown	PDF	N/A
Decoding Natural Images from EEG for Object Recognition	Unknown	PDF	N/A
On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection	Unknown	PDF	N/A
Explaining Kernel Clustering via Decision Trees	Unknown	PDF	N/A
CAS: A Probability-Based Approach for Universal Condition Alignment Score	Unknown	PDF	N/A
$\alpha$TC-VAE: On the relationship between Disentanglement and Diversity	Unknown	PDF	N/A
Select to Perfect: Imitating desired behavior from large multi-agent data	Unknown	PDF	N/A
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND	Unknown	PDF	N/A
Understanding Expressivity of GNN in Rule Learning	Unknown	PDF	N/A
When Semantic Segmentation Meets Frequency Aliasing	Unknown	PDF	N/A
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification	Unknown	PDF	N/A
Idempotent Generative Network	Unknown	PDF	N/A
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift	Unknown	PDF	N/A
DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning	Unknown	PDF	N/A
Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures	Unknown	PDF	N/A
On the Learnability of Watermarks for Language Models	Unknown	PDF	N/A
Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning	Unknown	PDF	N/A
Stochastic Gradient Descent for Gaussian Processes Done Right	Unknown	PDF	N/A
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping	Unknown	PDF	N/A
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks	Unknown	PDF	N/A
Image Inpainting via Tractable Steering of Diffusion Models	Unknown	PDF	N/A
Multimarginal Generative Modeling with Stochastic Interpolants	Unknown	PDF	N/A
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions	Unknown	PDF	N/A
Meaning Representations from Trajectories in Autoregressive Models	Unknown	PDF	N/A
GIO: Gradient Information Optimization for Training Dataset Selection	Unknown	PDF	N/A
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization	Unknown	PDF	N/A
SLiMe: Segment Like Me	Unknown	PDF	N/A
Language Models Represent Space and Time	Unknown	PDF	N/A
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering	Unknown	PDF	N/A
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning	Unknown	PDF	N/A
BadEdit: Backdooring Large Language Models by Model Editing	Unknown	PDF	N/A
One For All: Towards Training One Graph Model For All Classification Tasks	Unknown	PDF	N/A
Neural Monge Map estimation and its applications	Unknown	PDF	N/A
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability	Unknown	PDF	N/A
Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems	Unknown	PDF	N/A
$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence	Unknown	PDF	N/A
Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion	Unknown	PDF	N/A
On the Sample Complexity of Lipschitz Constant Estimation	Unknown	PDF	N/A
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning	Unknown	PDF	N/A
Image Background Serves as Good Proxy for Out-of-distribution Data	Unknown	PDF	N/A
FedTrans: Client-Transparent Utility Estimation for Robust Federated Learning	Unknown	PDF	N/A
CLEX: Continuous Length Extrapolation for Large Language Models	Unknown	PDF	N/A
Combining Axes Preconditioners through Kronecker Approximation for Deep Learning	Unknown	PDF	N/A
The Update-Equivalence Framework for Decision-Time Planning	Unknown	PDF	N/A
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning	Unknown	PDF	N/A
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks	Unknown	PDF	N/A
Less is More: Fewer Interpretable Region via Submodular Subset Selection	Unknown	PDF	N/A
LEMON: Lossless model expansion	Unknown	PDF	N/A
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging	Unknown	PDF	N/A
Understanding Addition in Transformers	Unknown	PDF	N/A
Deceptive Fairness Attacks on Graphs via Meta Learning	Unknown	PDF	N/A
Fair and Efficient Contribution Valuation for Vertical Federated Learning	Unknown	PDF	N/A
Federated Text-driven Prompt Generation for Vision-Language Models	Unknown	PDF	N/A
Improved Active Learning via Dependent Leverage Score Sampling	Unknown	PDF	N/A
Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms	Unknown	PDF	N/A
Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding	Unknown	PDF	N/A
Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning	Unknown	PDF	N/A
PAE: Reinforcement Learning from External Knowledge for Efficient Exploration	Unknown	PDF	N/A
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules	Unknown	PDF	N/A
Image Clustering Conditioned on Text Criteria	Unknown	PDF	N/A
How to Fine-Tune Vision Models with SGD	Unknown	PDF	N/A
Towards 3D Molecule-Text Interpretation in Language Models	Unknown	PDF	N/A
CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models	Unknown	PDF	N/A
How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization	Unknown	PDF	N/A
MT-Ranker: Reference-free machine translation evaluation by inter-system ranking	Unknown	PDF	N/A
Parametric Augmentation for Time Series Contrastive Learning	Unknown	PDF	N/A
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition	Unknown	PDF	N/A
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness	Unknown	PDF	N/A
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models	Unknown	PDF	N/A
On the Effect of Batch Size in Byzantine-Robust Distributed Learning	Unknown	PDF	N/A
Expressivity of ReLU-Networks under Convex Relaxations	Unknown	PDF	N/A
DiffusionSat: A Generative Foundation Model for Satellite Imagery	Unknown	PDF	N/A
Denoising Diffusion Bridge Models	Unknown	PDF	N/A
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning	Unknown	PDF	N/A
ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference	Unknown	PDF	N/A
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder	Unknown	PDF	N/A
From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication	Unknown	PDF	N/A
Batched Low-Rank Adaptation of Foundation Models	Unknown	PDF	N/A
GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING	Unknown	PDF	N/A
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design	Unknown	PDF	N/A
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control	Unknown	PDF	N/A
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images	Unknown	PDF	N/A
Generalized Schrödinger Bridge Matching	Unknown	PDF	N/A
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning	Unknown	PDF	N/A
Patches Are All You Need?	Unknown	PDF	N/A
Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation	Unknown	PDF	N/A
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages	Unknown	PDF	N/A
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching	Unknown	PDF	N/A
How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?	Unknown	PDF	N/A
Ferret: Refer and Ground Anything Anywhere at Any Granularity	Unknown	PDF	N/A
Demonstration-Regularized RL	Unknown	PDF	N/A
Manifold Diffusion Fields	Unknown	PDF	N/A
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks	Unknown	PDF	N/A
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization	Unknown	PDF	N/A
How do Language Models Bind Entities in Context?	Unknown	PDF	N/A
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks	Unknown	PDF	N/A
Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability	Unknown	PDF	N/A
Score-based generative models break the curse of dimensionality in learning a family of sub-Gaussian distributions	Unknown	PDF	N/A
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling	Unknown	PDF	N/A
Learning Performance-Improving Code Edits	Unknown	PDF	N/A
Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks	Unknown	PDF	N/A
Privately Aligning Language Models with Reinforcement Learning	Unknown	PDF	N/A
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning	Unknown	PDF	N/A
Let's Verify Step by Step	Unknown	PDF	N/A
Complete and Efficient Graph Transformers for Crystal Material Property Prediction	Unknown	PDF	N/A
Uncertainty Quantification via Stable Distribution Propagation	Unknown	PDF	N/A
Exploring the Promise and Limits of Real-Time Recurrent Learning	Unknown	PDF	N/A
Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory	Unknown	PDF	N/A
LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors	Unknown	PDF	N/A
HiGen: Hierarchical Graph Generative Networks	Unknown	PDF	N/A
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models	Unknown	PDF	N/A
Human Feedback is not Gold Standard	Unknown	PDF	N/A
Bellman Optimal Stepsize Straightening of Flow-Matching Models	Unknown	PDF	N/A
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches	Unknown	PDF	N/A
Learning Implicit Representation for Reconstructing Articulated Objects	Unknown	PDF	N/A
$\texttt{NAISR}$: A 3D Neural Additive Model for Interpretable Shape Representation	Unknown	PDF	N/A
Towards Offline Opponent Modeling with In-context Learning	Unknown	PDF	N/A
MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo	Unknown	PDF	N/A
SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models	Unknown	PDF	N/A
LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents	Unknown	PDF	N/A
Hybrid Directional Graph Neural Network for Molecules	Unknown	PDF	N/A
DAFA: Distance-Aware Fair Adversarial Training	Unknown	PDF	N/A
Fast-ELECTRA for Efficient Pre-training	Unknown	PDF	N/A
Course Correcting Koopman Representations	Unknown	PDF	N/A
Generating Pragmatic Examples to Train Neural Program Synthesizers	Unknown	PDF	N/A
Data Filtering Networks	Unknown	PDF	N/A
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization	Unknown	PDF	N/A
Learning with Language-Guided State Abstractions	Unknown	PDF	N/A
On Harmonizing Implicit Subpopulations	Unknown	PDF	N/A
On Error Propagation of Diffusion Models	Unknown	PDF	N/A
R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation	Unknown	PDF	N/A
ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models	Unknown	PDF	N/A
Out-Of-Domain Unlabeled Data Improves Generalization	Unknown	PDF	N/A
Poly-View Contrastive Learning	Unknown	PDF	N/A
Successor Heads: Recurring, Interpretable Attention Heads In The Wild	Unknown	PDF	N/A
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models	Unknown	PDF	N/A
On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning	Unknown	PDF	N/A
Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck	Unknown	PDF	N/A
DreamClean: Restoring Clean Image Using Deep Diffusion Prior	Unknown	PDF	N/A
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations	Unknown	PDF	N/A
Probabilistic Adaptation of Black-Box Text-to-Video Models	Unknown	PDF	N/A
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption	Unknown	PDF	N/A
Partitioning Message Passing for Graph Fraud Detection	Unknown	PDF	N/A
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer	Unknown	PDF	N/A
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding	Unknown	PDF	N/A
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models	Unknown	PDF	N/A
Learning Interactive Real-World Simulators	Unknown	PDF	N/A
Learning from Sparse Offline Datasets via Conservative Density Estimation	Unknown	PDF	N/A
From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction	Unknown	PDF	N/A
Concept Bottleneck Generative Models	Unknown	PDF	N/A
Safe Collaborative Filtering	Unknown	PDF	N/A
Object-Centric Learning with Slot Mixture Module	Unknown	PDF	N/A
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation	Unknown	PDF	N/A
Skip-Attention: Improving Vision Transformers by Paying Less Attention	Unknown	PDF	N/A
Linear Log-Normal Attention with Unbiased Concentration	Unknown	PDF	N/A
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning	Unknown	PDF	N/A
Koopman-based generalization bound: New aspect for full-rank weights	Unknown	PDF	N/A
Robust Model-Based Optimization for Challenging Fitness Landscapes	Unknown	PDF	N/A
Analytically Tractable Hidden-States Inference in Bayesian Neural Networks	Unknown	PDF	N/A
An interpretable error correction method for enhancing code-to-code translation	Unknown	PDF	N/A
Random Feature Amplification: Feature Learning and Generalization in Neural Networks	Unknown	PDF	N/A
Fiber Monte Carlo	Unknown	PDF	N/A
NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis	Unknown	PDF	N/A
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models	Unknown	PDF	N/A
A Framework and Benchmark for Deep Batch Active Learning for Regression	Unknown	PDF	N/A
Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration	Unknown	PDF	N/A
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation	Unknown	PDF	N/A
TextField3D: Towards Enhancing Open-Vocabulary 3D Generation with Noisy Text Fields	Unknown	PDF	N/A
Automatic Functional Differentiation in JAX	Unknown	PDF	N/A
Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems	Unknown	PDF	N/A
$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis	Unknown	PDF	N/A
Transformer-VQ: Linear-Time Transformers via Vector Quantization	Unknown	PDF	N/A
What does the Knowledge Neuron Thesis Have to do with Knowledge?	Unknown	PDF	N/A
Ghost on the Shell: An Expressive Representation of General 3D Shapes	Unknown	PDF	N/A
Intriguing Properties of Generative Classifiers	Unknown	PDF	N/A
Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE	Unknown	PDF	N/A
Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation.	Unknown	PDF	N/A
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving	Unknown	PDF	N/A
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation	Unknown	PDF	N/A
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption	Unknown	PDF	N/A
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions	Unknown	PDF	N/A
Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization	Unknown	PDF	N/A
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations	Unknown	PDF	N/A
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training	Unknown	PDF	N/A
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation	Unknown	PDF	N/A
Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting	Unknown	PDF	N/A
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing	Unknown	PDF	N/A
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures	Unknown	PDF	N/A
Vanishing Gradients in Reinforcement Finetuning of Language Models	Unknown	PDF	N/A
What Algorithms can Transformers Learn? A Study in Length Generalization	Unknown	PDF	N/A
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization	Unknown	PDF	N/A
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting	Unknown	PDF	N/A
Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime	Unknown	PDF	N/A
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks	Unknown	PDF	N/A
Learning to Act without Actions	Unknown	PDF	N/A
Intelligent Switching for Reset-Free RL	Unknown	PDF	N/A
PINNACLE: PINN Adaptive ColLocation and Experimental points selection	Unknown	PDF	N/A
Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification	Unknown	PDF	N/A
Effective and Efficient Federated Tree Learning on Hybrid Data	Unknown	PDF	N/A
Neural Processing of Tri-Plane Hybrid Neural Fields	Unknown	PDF	N/A
Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective	Unknown	PDF	N/A
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models	Unknown	PDF	N/A
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game	Unknown	PDF	N/A
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings	Unknown	PDF	N/A
#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models	Unknown	PDF	N/A
Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains	Unknown	PDF	N/A
Pre-training with Random Orthogonal Projection Image Modeling	Unknown	PDF	N/A
Debiasing Attention Mechanism in Transformer without Demographics	Unknown	PDF	N/A
Unsupervised Pretraining for Fact Verification by Language Model Distillation	Unknown	PDF	N/A
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation	Unknown	PDF	N/A
Image Translation as Diffusion Visual Programmers	Unknown	PDF	N/A
Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation	Unknown	PDF	N/A
Adversarial Imitation Learning via Boosting	Unknown	PDF	N/A
Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information	Unknown	PDF	N/A
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation	Unknown	PDF	N/A
Provable Reward-Agnostic Preference-Based Reinforcement Learning	Unknown	PDF	N/A
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation	Unknown	PDF	N/A
Copula Conformal prediction for multi-step time series prediction	Unknown	PDF	N/A
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining	Unknown	PDF	N/A
Adapting Large Language Models via Reading Comprehension	Unknown	PDF	N/A
Improving Convergence and Generalization Using Parameter Symmetries	Unknown	PDF	N/A
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits	Unknown	PDF	N/A
PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters	Unknown	PDF	N/A
Manifold Preserving Guided Diffusion	Unknown	PDF	N/A
Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators	Unknown	PDF	N/A
Threaten Spiking Neural Networks through Combining Rate and Temporal Information	Unknown	PDF	N/A
FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning	Unknown	PDF	N/A
Exploring Target Representations for Masked Autoencoders	Unknown	PDF	N/A
Federated Recommendation with Additive Personalization	Unknown	PDF	N/A
Neural Language of Thought Models	Unknown	PDF	N/A
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning	Unknown	PDF	N/A
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion	Unknown	PDF	N/A
Statistical Rejection Sampling Improves Preference Optimization	Unknown	PDF	N/A
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs	Unknown	PDF	N/A
Privacy Amplification for Matrix Mechanisms	Unknown	PDF	N/A
Negative Label Guided OOD Detection with Pretrained Vision-Language Models	Unknown	PDF	N/A
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration	Unknown	PDF	N/A
Improved baselines for vision-language pre-training	Unknown	PDF	N/A
Constrained Bi-Level Optimization: Proximal Lagrangian Value Function Approach and Hessian-free Algorithm	Unknown	PDF	N/A
Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants	Unknown	PDF	N/A
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning	Unknown	PDF	N/A
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers	Unknown	PDF	N/A
On the Stability of Expressive Positional Encodings for Graphs	Unknown	PDF	N/A
PolyVoice: Language Models for Speech to Speech Translation	Unknown	PDF	N/A
Benchmarking Algorithms for Federated Domain Generalization	Unknown	PDF	N/A
Compositional Generative Inverse Design	Unknown	PDF	N/A
Evaluating Representation Learning on the Protein Structure Universe	Unknown	PDF	N/A
AutoVP: An Automated Visual Prompting Framework and Benchmark	Unknown	PDF	N/A
On the Hardness of Constrained Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Linearity of Relation Decoding in Transformer Language Models	Unknown	PDF	N/A
Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions	Unknown	PDF	N/A
Information Retention via Learning Supplemental Features	Unknown	PDF	N/A
Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields	Unknown	PDF	N/A
Off-Policy Primal-Dual Safe Reinforcement Learning	Unknown	PDF	N/A
Can Large Language Models Infer Causation from Correlation?	Unknown	PDF	N/A
When should we prefer Decision Transformers for Offline Reinforcement Learning?	Unknown	PDF	N/A
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning	Unknown	PDF	N/A
SAS: Structured Activation Sparsification	Unknown	PDF	N/A
Learning Multi-Agent Communication with Contrastive Learning	Unknown	PDF	N/A
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages	Unknown	PDF	N/A
Xformer: Hybrid X-Shaped Transformer for Image Denoising	Unknown	PDF	N/A
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios	Unknown	PDF	N/A
Dynamics-Informed Protein Design with Structure Conditioning	Unknown	PDF	N/A
Identifiable Latent Polynomial Causal Models through the Lens of Change	Unknown	PDF	N/A
SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning	Unknown	PDF	N/A
Graph Lottery Ticket Automated	Unknown	PDF	N/A
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning	Unknown	PDF	N/A
The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.	Unknown	PDF	N/A
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing	Unknown	PDF	N/A
Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning	Unknown	PDF	N/A
Adaptive Regret for Bandits Made Possible: Two Queries Suffice	Unknown	PDF	N/A
AdaMerging: Adaptive Model Merging for Multi-Task Learning	Unknown	PDF	N/A
Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming	Unknown	PDF	N/A
AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZ	Unknown	PDF	N/A
Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data	Unknown	PDF	N/A
Zero Bubble (Almost) Pipeline Parallelism	Unknown	PDF	N/A
Bridging Neural and Symbolic Representations with Transitional Dictionary Learning	Unknown	PDF	N/A
Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models	Unknown	PDF	N/A
Thin-Shell Object Manipulations With Differentiable Physics Simulations	Unknown	PDF	N/A
Bayesian Coreset Optimization for Personalized Federated Learning	Unknown	PDF	N/A
Beyond Spatio-Temporal Representations: Evolving Fourier Transform for Temporal Graphs	Unknown	PDF	N/A
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models	Unknown	PDF	N/A
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks	Unknown	PDF	N/A
Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs	Unknown	PDF	N/A
Towards Best Practices of Activation Patching in Language Models: Metrics and Methods	Unknown	PDF	N/A
Scale-Adaptive Diffusion Model for Complex Sketch Synthesis	Unknown	PDF	N/A
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs	Unknown	PDF	N/A
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting	Unknown	PDF	N/A
Mastering Memory Tasks with World Models	Unknown	PDF	N/A
Towards Principled Representation Learning from Videos for Reinforcement Learning	Unknown	PDF	N/A
Expected flow networks in stochastic environments and two-player zero-sum games	Unknown	PDF	N/A
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond	Unknown	PDF	N/A
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models	Unknown	PDF	N/A
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials	Unknown	PDF	N/A
SALMON: Self-Alignment with Instructable Reward Models	Unknown	PDF	N/A
Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs	Unknown	PDF	N/A
Augmenting Transformers with Recursively Composed Multi-grained Representations	Unknown	PDF	N/A
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization	Unknown	PDF	N/A
Large Language Models as Generalizable Policies for Embodied Tasks	Unknown	PDF	N/A
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model	Unknown	PDF	N/A
Fast Equilibrium of SGD in Generic Situations	Unknown	PDF	N/A
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data	Unknown	PDF	N/A
Compositional Preference Models for Aligning LMs	Unknown	PDF	N/A
Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective	Unknown	PDF	N/A
Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition	Unknown	PDF	N/A
Provable Offline Preference-Based Reinforcement Learning	Unknown	PDF	N/A
Learning Conditional Invariances through Non-Commutativity	Unknown	PDF	N/A
Generative Modeling with Phase Stochastic Bridge	Unknown	PDF	N/A
Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation	Unknown	PDF	N/A
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies	Unknown	PDF	N/A
Tailoring Self-Rationalizers with Multi-Reward Distillation	Unknown	PDF	N/A
Controlling Vision-Language Models for Multi-Task Image Restoration	Unknown	PDF	N/A
Frozen Transformers in Language Models Are Effective Visual Encoder Layers	Unknown	PDF	N/A
VFLAIR: A Research Library and Benchmark for Vertical Federated Learning	Unknown	PDF	N/A
Measuring Vision-Language STEM Skills of Neural Models	Unknown	PDF	N/A
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers	Unknown	PDF	N/A
Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models	Unknown	PDF	N/A
MCM: Masked Cell Modeling for Anomaly Detection in Tabular Data	Unknown	PDF	N/A
GAIA: Zero-shot Talking Avatar Generation	Unknown	PDF	N/A
NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers	Unknown	PDF	N/A
CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding	Unknown	PDF	N/A
How connectivity structure shapes rich and lazy learning in neural circuits	Unknown	PDF	N/A
ARGS: Alignment as Reward-Guided Search	Unknown	PDF	N/A
PromptTTS 2: Describing and Generating Voices with Text Prompt	Unknown	PDF	N/A
Let Models Speak Ciphers: Multiagent Debate through Embeddings	Unknown	PDF	N/A
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks	Unknown	PDF	N/A
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates	Unknown	PDF	N/A
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives	Unknown	PDF	N/A
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation	Unknown	PDF	N/A
Text-to-3D with Classifier Score Distillation	Unknown	PDF	N/A
Transformers can optimally learn regression mixture models	Unknown	PDF	N/A
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning	Unknown	PDF	N/A
Branch-GAN: Improving Text Generation with (not so) Large Language Models	Unknown	PDF	N/A
SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series	Unknown	PDF	N/A
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models	Unknown	PDF	N/A
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization	Unknown	PDF	N/A
A unique M-pattern for micro-expression spotting in long videos	Unknown	PDF	N/A
Progressive Fourier Neural Representation for Sequential Video Compilation	Unknown	PDF	N/A
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning	Unknown	PDF	N/A
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting	Unknown	PDF	N/A
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations	Unknown	PDF	N/A
A Mutual Information Perspective on Federated Contrastive Learning	Unknown	PDF	N/A
Local Graph Clustering with Noisy Labels	Unknown	PDF	N/A
DistillSpec: Improving Speculative Decoding via Knowledge Distillation	Unknown	PDF	N/A
Faithful Vision-Language Interpretation via Concept Bottleneck Models	Unknown	PDF	N/A
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation	Unknown	PDF	N/A
Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets	Unknown	PDF	N/A
Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits	Unknown	PDF	N/A
Demystifying Embedding Spaces using Large Language Models	Unknown	PDF	N/A
A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines	Unknown	PDF	N/A
DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training	Unknown	PDF	N/A
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.	Unknown	PDF	N/A
Unveiling the Pitfalls of Knowledge Editing for Large Language Models	Unknown	PDF	N/A
Learning Thresholds with Latent Values and Censored Feedback	Unknown	PDF	N/A
Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World	Unknown	PDF	N/A
Robustifying and Boosting Training-Free Neural Architecture Search	Unknown	PDF	N/A
Guess & Sketch: Language Model Guided Transpilation	Unknown	PDF	N/A
Zero and Few-shot Semantic Parsing with Ambiguous Inputs	Unknown	PDF	N/A
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models	Unknown	PDF	N/A
Large-Vocabulary 3D Diffusion Model with Transformer	Unknown	PDF	N/A
An Investigation of Representation and Allocation Harms in Contrastive Learning	Unknown	PDF	N/A
Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words	Unknown	PDF	N/A
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes	Unknown	PDF	N/A
Adversarial Attacks on Fairness of Graph Neural Networks	Unknown	PDF	N/A
Task structure and nonlinearity jointly determine learned representational geometry	Unknown	PDF	N/A
Locality Sensitive Sparse Encoding for Learning World Models Online	Unknown	PDF	N/A
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models	Unknown	PDF	N/A
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph	Unknown	PDF	N/A
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy	Unknown	PDF	N/A
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models	Unknown	PDF	N/A
Graph Transformers on EHRs: Better Representation Improves Downstream Performance	Unknown	PDF	N/A
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning	Unknown	PDF	N/A
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data	Unknown	PDF	N/A
Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing	Unknown	PDF	N/A
Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning	Unknown	PDF	N/A
Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis	Unknown	PDF	N/A
Recursive Generalization Transformer for Image Super-Resolution	Unknown	PDF	N/A
Reconciling Spatial and Temporal Abstractions for Goal Representation	Unknown	PDF	N/A
Magnushammer: A Transformer-Based Approach to Premise Selection	Unknown	PDF	N/A
Score Models for Offline Goal-Conditioned Reinforcement Learning	Unknown	PDF	N/A
Treatment Effects Estimation By Uniform Transformer	Unknown	PDF	N/A
Scaling Laws for Associative Memories	Unknown	PDF	N/A
Entropy-MCMC: Sampling from Flat Basins with Ease	Unknown	PDF	N/A
LMUFormer: Low Complexity Yet Powerful Spiking Model With Legendre Memory Units	Unknown	PDF	N/A
Representation Deficiency in Masked Language Modeling	Unknown	PDF	N/A
Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization	Unknown	PDF	N/A
MaGIC: Multi-modality Guided Image Completion	Unknown	PDF	N/A
CO2: Efficient Distributed Training with Full Communication-Computation Overlap	Unknown	PDF	N/A
Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation	Unknown	PDF	N/A
Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic	Unknown	PDF	N/A
HoloNets: Spectral Convolutions do extend to Directed Graphs	Unknown	PDF	N/A
Searching for High-Value Molecules Using Reinforcement Learning and Transformers	Unknown	PDF	N/A
Interpretable Meta-Learning of Physical Systems	Unknown	PDF	N/A
An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models	Unknown	PDF	N/A
Fast Value Tracking for Deep Reinforcement Learning	Unknown	PDF	N/A
Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction	Unknown	PDF	N/A
FedInverse: Evaluating Privacy Leakage in Federated Learning	Unknown	PDF	N/A
CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment	Unknown	PDF	N/A
Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?	Unknown	PDF	N/A
Self-Supervised Contrastive Learning for Long-term Forecasting	Unknown	PDF	N/A
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning	Unknown	PDF	N/A
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization	Unknown	PDF	N/A
OctoPack: Instruction Tuning Code Large Language Models	Unknown	PDF	N/A
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation	Unknown	PDF	N/A
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning	Unknown	PDF	N/A
Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain	Unknown	PDF	N/A
Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions	Unknown	PDF	N/A
Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation	Unknown	PDF	N/A
LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts	Unknown	PDF	N/A
VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition	Unknown	PDF	N/A
Neural Rate Control for Learned Video Compression	Unknown	PDF	N/A
PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code	Unknown	PDF	N/A
Harnessing Density Ratios for Online Reinforcement Learning	Unknown	PDF	N/A
Sliced Denoising: A Physics-Informed Molecular Pre-Training Method	Unknown	PDF	N/A
Is Self-Repair a Silver Bullet for Code Generation?	Unknown	PDF	N/A
Unified Human-Scene Interaction via Prompted Chain-of-Contacts	Unknown	PDF	N/A
Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling	Unknown	PDF	N/A
Grounding Multimodal Large Language Models to the World	Unknown	PDF	N/A
Context-Aware Meta-Learning	Unknown	PDF	N/A
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs	Unknown	PDF	N/A
Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection	Unknown	PDF	N/A
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation	Unknown	PDF	N/A
Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation	Unknown	PDF	N/A
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning	Unknown	PDF	N/A
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework	Unknown	PDF	N/A
Local Composite Saddle Point Optimization	Unknown	PDF	N/A
ASID: Active Exploration for System Identification in Robotic Manipulation	Unknown	PDF	N/A
Simple Hierarchical Planning with Diffusion	Unknown	PDF	N/A
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows	Unknown	PDF	N/A
BatteryML: An Open-source Platform for Machine Learning on Battery Degradation	Unknown	PDF	N/A
Improving Generalization of Alignment with Human Preferences through Group Invariant Learning	Unknown	PDF	N/A
Dynamic Sparse Training with Structured Sparsity	Unknown	PDF	N/A
DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING	Unknown	PDF	N/A
Robustifying State-space Models for Long Sequences via Approximate Diagonalization	Unknown	PDF	N/A
Generative Adversarial Equilibrium Solvers	Unknown	PDF	N/A
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models	Unknown	PDF	N/A
FedImpro: Measuring and Improving Client Update in Federated Learning	Unknown	PDF	N/A
What Makes a Good Prune? Maximal Unstructured Pruning for Maximal Cosine Similarity	Unknown	PDF	N/A
Improving LoRA in Privacy-preserving Federated Learning	Unknown	PDF	N/A
Efficient Inverse Multiagent Learning	Unknown	PDF	N/A
Neural Neighborhood Search for Multi-agent Path Finding	Unknown	PDF	N/A
Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models	Unknown	PDF	N/A
FasterViT: Fast Vision Transformers with Hierarchical Attention	Unknown	PDF	N/A
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion	Unknown	PDF	N/A
DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior	Unknown	PDF	N/A
Plugin estimators for selective classification with out-of-distribution detection	Unknown	PDF	N/A
P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering	Unknown	PDF	N/A
Unprocessing Seven Years of Algorithmic Fairness	Unknown	PDF	N/A
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning	Unknown	PDF	N/A
Intriguing Properties of Data Attribution on Diffusion Models	Unknown	PDF	N/A
SpaCE: The Spatial Confounding Environment	Unknown	PDF	N/A
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?	Unknown	PDF	N/A
AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models	Unknown	PDF	N/A
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks	Unknown	PDF	N/A
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning	Unknown	PDF	N/A
Look, Remember and Reason: Grounded Reasoning in Videos with Language Models	Unknown	PDF	N/A
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition	Unknown	PDF	N/A
MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning	Unknown	PDF	N/A
Pushing Boundaries: Mixup's Influence on Neural Collapse	Unknown	PDF	N/A
Analyzing and Improving Optimal-Transport-based Adversarial Networks	Unknown	PDF	N/A
Two-stage LLM Fine-tuning with Less Specialization and More Generalization	Unknown	PDF	N/A
LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer	Unknown	PDF	N/A
Implicit regularization of deep residual networks towards neural ODEs	Unknown	PDF	N/A
Provably Efficient UCB-type Algorithms For Learning Predictive State Representations	Unknown	PDF	N/A
Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models	Unknown	PDF	N/A
Protein Multimer Structure Prediction via Prompt Learning	Unknown	PDF	N/A
Symbol as Points: Panoptic Symbol Spotting via Point-based Representation	Unknown	PDF	N/A
Compressing Latent Space via Least Volume	Unknown	PDF	N/A
CoLiDE: Concomitant Linear DAG Estimation	Unknown	PDF	N/A
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model	Unknown	PDF	N/A
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory	Unknown	PDF	N/A
Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots	Unknown	PDF	N/A
A Unified Framework for Bayesian Optimization under Contextual Uncertainty	Unknown	PDF	N/A
Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG	Unknown	PDF	N/A
Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization	Unknown	PDF	N/A
Active Retrosynthetic Planning Aware of Route Quality	Unknown	PDF	N/A
Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency	Unknown	PDF	N/A
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model	Unknown	PDF	N/A
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy	Unknown	PDF	N/A
Non-Exchangeable Conformal Risk Control	Unknown	PDF	N/A
Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM	Unknown	PDF	N/A
USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields	Unknown	PDF	N/A
Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations	Unknown	PDF	N/A
Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance	Unknown	PDF	N/A
Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI	Unknown	PDF	N/A
Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning	Unknown	PDF	N/A
Early Stopping Against Label Noise Without Validation Data	Unknown	PDF	N/A
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning	Unknown	PDF	N/A
Unknown Domain Inconsistency Minimization for Domain Generalization	Unknown	PDF	N/A
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling	Unknown	PDF	N/A
Finite Scalar Quantization: VQ-VAE Made Simple	Unknown	PDF	N/A
Fixed-Budget Differentially Private Best Arm Identification	Unknown	PDF	N/A
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective	Unknown	PDF	N/A
Neural Contractive Dynamical Systems	Unknown	PDF	N/A
Energy-based Automated Model Evaluation	Unknown	PDF	N/A
Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space	Unknown	PDF	N/A
FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction	Unknown	PDF	N/A
Structural Inference with Dynamics Encoding and Partial Correlation Coefficients	Unknown	PDF	N/A
SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution	Unknown	PDF	N/A
Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games	Unknown	PDF	N/A
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation	Unknown	PDF	N/A
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time	Unknown	PDF	N/A
Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning	Unknown	PDF	N/A
A Differentially Private Clustering Algorithm for Well-Clustered Graphs	Unknown	PDF	N/A
The Trickle-down Impact of Reward Inconsistency on RLHF	Unknown	PDF	N/A
Contrastive Learning is Spectral Clustering on Similarity Graph	Unknown	PDF	N/A
Better Neural PDE Solvers Through Data-Free Mesh Movers	Unknown	PDF	N/A
Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency	Unknown	PDF	N/A
Memorization Capacity of Multi-Head Attention in Transformers	Unknown	PDF	N/A
LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models	Unknown	PDF	N/A
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts	Unknown	PDF	N/A
Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders	Unknown	PDF	N/A
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests	Unknown	PDF	N/A
True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning	Unknown	PDF	N/A
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift	Unknown	PDF	N/A
A Sublinear Adversarial Training Algorithm	Unknown	PDF	N/A
PhyloGFN: Phylogenetic inference with generative flow networks	Unknown	PDF	N/A
Understanding Certified Training with Interval Bound Propagation	Unknown	PDF	N/A
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images	Unknown	PDF	N/A
Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model	Unknown	PDF	N/A
Language Model Beats Diffusion - Tokenizer is key to visual generation	Unknown	PDF	N/A
ZeRO++: Extremely Efficient Collective Communication for Large Model Training	Unknown	PDF	N/A
Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications	Unknown	PDF	N/A
Dual Associated Encoder for Face Restoration	Unknown	PDF	N/A
CausalLM is not optimal for in-context learning	Unknown	PDF	N/A
An Unforgeable Publicly Verifiable Watermark for Large Language Models	Unknown	PDF	N/A
Deep Orthogonal Hypersphere Compression for Anomaly Detection	Unknown	PDF	N/A
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models	Unknown	PDF	N/A
Evaluating the Zero-shot Robustness of Instruction-tuned Language Models	Unknown	PDF	N/A
Does Writing with Language Models Reduce Content Diversity?	Unknown	PDF	N/A
Class Probability Matching with Calibrated Networks for Label Shift Adaption	Unknown	PDF	N/A
Few-shot Hybrid Domain Adaptation of Image Generator	Unknown	PDF	N/A
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels	Unknown	PDF	N/A
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning	Unknown	PDF	N/A
Adaptive Rational Activations to Boost Deep Reinforcement Learning	Unknown	PDF	N/A
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes	Unknown	PDF	N/A
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model	Unknown	PDF	N/A
Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation	Unknown	PDF	N/A
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments	Unknown	PDF	N/A
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis	Unknown	PDF	N/A
Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting	Unknown	PDF	N/A
OWL: A Large Language Model for IT Operations	Unknown	PDF	N/A
Towards Meta-Pruning via Optimal Transport	Unknown	PDF	N/A
Würstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models	Unknown	PDF	N/A
REFACTOR: Learning to Extract Theorems from Proofs	Unknown	PDF	N/A
From Posterior Sampling to Meaningful Diversity in Image Restoration	Unknown	PDF	N/A
Federated Q-Learning: Linear Regret Speedup with Low Communication Cost	Unknown	PDF	N/A
Transformer Fusion with Optimal Transport	Unknown	PDF	N/A
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models	Unknown	PDF	N/A
Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces	Unknown	PDF	N/A
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset	Unknown	PDF	N/A
A Recipe for Improved Certifiable Robustness	Unknown	PDF	N/A
Sparse MoE with Language Guided Routing for Multilingual Machine Translation	Unknown	PDF	N/A
Neural Architecture Retrieval	Unknown	PDF	N/A
Neural SDF Flow for 3D Reconstruction of Dynamic Scenes	Unknown	PDF	N/A
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback	Unknown	PDF	N/A
Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model	Unknown	PDF	N/A
Teaching Arithmetic to Small Transformers	Unknown	PDF	N/A
ADOPD: A Large-Scale Document Page Decomposition Dataset	Unknown	PDF	N/A
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity	Unknown	PDF	N/A
Compressing LLMs: The Truth is Rarely Pure and Never Simple	Unknown	PDF	N/A
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination	Unknown	PDF	N/A
ToolChain: Efficient Action Space Navigation in Large Language Models with A Search	Unknown	PDF	N/A
Large Language Models as Tool Makers	Unknown	PDF	N/A
LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models	Unknown	PDF	N/A
Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding	Unknown	PDF	N/A
Learning Mean Field Games on Sparse Graphs: A Hybrid Graphex Approach	Unknown	PDF	N/A
P2Seg: Pointly-supervised Segmentation via Mutual Distillation	Unknown	PDF	N/A
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores	Unknown	PDF	N/A
Efficient Subgraph GNNs by Learning Effective Selection Policies	Unknown	PDF	N/A
Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning	Unknown	PDF	N/A
Label-free Node Classification on Graphs with Large Language Models (LLMs)	Unknown	PDF	N/A
LLM-grounded Video Diffusion Models	Unknown	PDF	N/A
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions	Unknown	PDF	N/A
Multimodal Web Navigation with Instruction-Finetuned Foundation Models	Unknown	PDF	N/A
Function-space Parameterization of Neural Networks for Sequential Learning	Unknown	PDF	N/A
One-hot Generalized Linear Model for Switching Brain State Discovery	Unknown	PDF	N/A
Large Language Models as Analogical Reasoners	Unknown	PDF	N/A
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs	Unknown	PDF	N/A
Annealing Self-Distillation Rectification Improves Adversarial Training	Unknown	PDF	N/A
H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields	Unknown	PDF	N/A
Boundary Denoising for Video Activity Localization	Unknown	PDF	N/A
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness	Unknown	PDF	N/A
RLIF: Interactive Imitation Learning as Reinforcement Learning	Unknown	PDF	N/A
Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation	Unknown	PDF	N/A
On Trajectory Augmentations for Off-Policy Evaluation	Unknown	PDF	N/A
How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions	Unknown	PDF	N/A
Alt-Text with Context: Improving Accessibility for Images on Twitter	Unknown	PDF	N/A
Combinatorial Bandits for Maximum Value Reward Function under Value-Index Feedback	Unknown	PDF	N/A
Reward-Free Curricula for Training Robust World Models	Unknown	PDF	N/A
Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML	Unknown	PDF	N/A
PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTION	Unknown	PDF	N/A
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis	Unknown	PDF	N/A
AGILE3D: Attention Guided Interactive Multi-object 3D Segmentation	Unknown	PDF	N/A
Convergence of Bayesian Bilevel Optimization	Unknown	PDF	N/A
Functional Interpolation for Relative Positions improves Long Context Transformers	Unknown	PDF	N/A
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision	Unknown	PDF	N/A
Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification	Unknown	PDF	N/A
Small-scale proxies for large-scale Transformer training instabilities	Unknown	PDF	N/A
Lion Secretly Solves a Constrained Optimization: As Lyapunov Predicts	Unknown	PDF	N/A
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis	Unknown	PDF	N/A
Symmetric Single Index Learning	Unknown	PDF	N/A
Tight Rates in Supervised Outlier Transfer Learning	Unknown	PDF	N/A
Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space	Unknown	PDF	N/A
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark	Unknown	PDF	N/A
Object-Aware Inversion and Reassembly for Image Editing	Unknown	PDF	N/A
Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity	Unknown	PDF	N/A
What's In My Big Data?	Unknown	PDF	N/A
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks	Unknown	PDF	N/A
Minimum width for universal approximation using ReLU networks on compact domain	Unknown	PDF	N/A
Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning	Unknown	PDF	N/A
Retro-fallback: retrosynthetic planning in an uncertain world	Unknown	PDF	N/A
Generative Human Motion Stylization in Latent Space	Unknown	PDF	N/A
TUVF: Learning Generalizable Texture UV Radiance Fields	Unknown	PDF	N/A
Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits	Unknown	PDF	N/A
Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems.	Unknown	PDF	N/A
Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks	Unknown	PDF	N/A
Fast Imitation via Behavior Foundation Models	Unknown	PDF	N/A
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models	Unknown	PDF	N/A
MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning	Unknown	PDF	N/A
Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction	Unknown	PDF	N/A
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs	Unknown	PDF	N/A
Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling	Unknown	PDF	N/A
The Consensus Game: Language Model Generation via Equilibrium Search	Unknown	PDF	N/A
Tool-Augmented Reward Modeling	Unknown	PDF	N/A
Procedural Fairness Through Decoupling Objectionable Data Generating Components	Unknown	PDF	N/A
Generalized Policy Iteration using Tensor Approximation for Hybrid Control	Unknown	PDF	N/A
Scaling Supervised Local Learning with Augmented Auxiliary Networks	Unknown	PDF	N/A
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces	Unknown	PDF	N/A
Diffusion Models for Multi-Task Generative Modeling	Unknown	PDF	N/A
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data	Unknown	PDF	N/A
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning	Unknown	PDF	N/A
FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler	Unknown	PDF	N/A
Bandits with Replenishable Knapsacks: the Best of both Worlds	Unknown	PDF	N/A
Bridging State and History Representations: Understanding Self-Predictive RL	Unknown	PDF	N/A
Latent 3D Graph Diffusion	Unknown	PDF	N/A
State Representation Learning Using an Unbalanced Atlas	Unknown	PDF	N/A
Scalable Monotonic Neural Networks	Unknown	PDF	N/A
Towards a statistical theory of data selection under weak supervision	Unknown	PDF	N/A
Multilinear Operator Networks	Unknown	PDF	N/A
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction	Unknown	PDF	N/A
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks	Unknown	PDF	N/A
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World	Unknown	PDF	N/A
NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling	Unknown	PDF	N/A
Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds	Unknown	PDF	N/A
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks	Unknown	PDF	N/A
Democratizing Fine-grained Visual Recognition with Large Language Models	Unknown	PDF	N/A
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps	Unknown	PDF	N/A
GAFormer: Enhancing Timeseries Transformers Through Group-Aware Embeddings	Unknown	PDF	N/A
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text	Unknown	PDF	N/A
SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models	Unknown	PDF	N/A
Prompt Learning with Quaternion Networks	Unknown	PDF	N/A
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning	Unknown	PDF	N/A
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis	Unknown	PDF	N/A
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods	Unknown	PDF	N/A
Generalizability of Adversarial Robustness Under Distribution Shifts	Unknown	PDF	N/A
UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving	Unknown	PDF	N/A
LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition	Unknown	PDF	N/A
Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?	Unknown	PDF	N/A
Accelerated Sampling with Stacked Restricted Boltzmann Machines	Unknown	PDF	N/A
BECLR: Batch Enhanced Contrastive Few-Shot Learning	Unknown	PDF	N/A
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos	Unknown	PDF	N/A
Logical Languages Accepted by Transformer Encoders with Hard Attention	Unknown	PDF	N/A
Meta-Learning Priors Using Unrolled Proximal Networks	Unknown	PDF	N/A
NfgTransformer: Equivariant Representation Learning for Normal-form Games	Unknown	PDF	N/A
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance	Unknown	PDF	N/A
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech	Unknown	PDF	N/A
Circumventing Concept Erasure Methods For Text-To-Image Generative Models	Unknown	PDF	N/A
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation	Unknown	PDF	N/A
Energy-guided Entropic Neural Optimal Transport	Unknown	PDF	N/A
On the Posterior Distribution in Denoising: Application to Uncertainty Quantification	Unknown	PDF	N/A
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks	Unknown	PDF	N/A
Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models	Unknown	PDF	N/A
Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs	Unknown	PDF	N/A
Ensemble Distillation for Unsupervised Constituency Parsing	Unknown	PDF	N/A
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding	Unknown	PDF	N/A
Approximately Piecewise E(3) Equivariant Point Networks	Unknown	PDF	N/A
EventRPG: Event Data Augmentation with Relevance Propagation Guidance	Unknown	PDF	N/A
LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models	Unknown	PDF	N/A
Implicit Maximum a Posteriori Filtering via Adaptive Optimization	Unknown	PDF	N/A
Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data	Unknown	PDF	N/A
ContextRef: Evaluating Referenceless Metrics for Image Description Generation	Unknown	PDF	N/A
Diffusion Model for Dense Matching	Unknown	PDF	N/A
BENO: Boundary-embedded Neural Operators for Elliptic PDEs	Unknown	PDF	N/A
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies	Unknown	PDF	N/A
On Double Descent in Reinforcement Learning with LSTD and Random Features	Unknown	PDF	N/A
Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures	Unknown	PDF	N/A
Functional Bayesian Tucker Decomposition for Continuous-indexed Tensor Data	Unknown	PDF	N/A
Doubly Robust Proximal Causal Learning for Continuous Treatments	Unknown	PDF	N/A
SaNN: Simple Yet Powerful Simplicial-aware Neural Networks	Unknown	PDF	N/A
DMBP: Diffusion model-based predictor for robust offline reinforcement learning against state observation perturbations	Unknown	PDF	N/A
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation	Unknown	PDF	N/A
Making Retrieval-Augmented Language Models Robust to Irrelevant Context	Unknown	PDF	N/A
GAIA: a benchmark for General AI Assistants	Unknown	PDF	N/A
Polynomial Width is Sufficient for Set Representation with High-dimensional Features	Unknown	PDF	N/A
AUC-CL: A Batchsize-Robust Framework for Self-Supervised Contrastive Representation Learning	Unknown	PDF	N/A
Adversarial Causal Bayesian Optimization	Unknown	PDF	N/A
A Neural Framework for Generalized Causal Sensitivity Analysis	Unknown	PDF	N/A
Fast, Expressive $\mathrm{SE}(n)$ Equivariant Networks through Weight-Sharing in Position-Orientation Space	Unknown	PDF	N/A
Most discriminative stimuli for functional cell type clustering	Unknown	PDF	N/A
Efficient Backpropagation with Variance Controlled Adaptive Sampling	Unknown	PDF	N/A
Improving Intrinsic Exploration by Creating Stationary Objectives	Unknown	PDF	N/A
A Dynamical View of the Question of Why	Unknown	PDF	N/A
SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning	Unknown	PDF	N/A
CoBIT: A Contrastive Bi-directional Image-Text Generation Model	Unknown	PDF	N/A
Retrieval-based Disentangled Representation Learning with Natural Language Supervision	Unknown	PDF	N/A
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition	Unknown	PDF	N/A
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization	Unknown	PDF	N/A
Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning	Unknown	PDF	N/A
Leveraging augmented-Lagrangian techniques for differentiating over infeasible quadratic programs in machine learning	Unknown	PDF	N/A
FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization	Unknown	PDF	N/A
Conformal Language Modeling	Unknown	PDF	N/A
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction	Unknown	PDF	N/A
Space Group Constrained Crystal Generation	Unknown	PDF	N/A
SliceGPT: Compress Large Language Models by Deleting Rows and Columns	Unknown	PDF	N/A
Generating Images with 3D Annotations Using Diffusion Models	Unknown	PDF	N/A
The importance of feature preprocessing for differentially private linear optimization	Unknown	PDF	N/A
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference	Unknown	PDF	N/A
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data	Unknown	PDF	N/A
Improving the Convergence of Dynamic NeRFs via Optimal Transport	Unknown	PDF	N/A
Mean Field Theory in Deep Metric Learning	Unknown	PDF	N/A
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models	Unknown	PDF	N/A
Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers	Unknown	PDF	N/A
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models	Unknown	PDF	N/A
Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models	Unknown	PDF	N/A
Confronting Reward Model Overoptimization with Constrained RLHF	Unknown	PDF	N/A
Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation	Unknown	PDF	N/A
InstructPix2NeRF: Instructed 3D Portrait Editing from a Single Image	Unknown	PDF	N/A
Interpretable Diffusion via Information Decomposition	Unknown	PDF	N/A
LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning	Unknown	PDF	N/A
Adaptive Self-training Framework for Fine-grained Scene Graph Generation	Unknown	PDF	N/A
Video Language Planning	Unknown	PDF	N/A
Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting	Unknown	PDF	N/A
Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning	Unknown	PDF	N/A
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts	Unknown	PDF	N/A
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations	Unknown	PDF	N/A
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models	Unknown	PDF	N/A
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior	Unknown	PDF	N/A
Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation	Unknown	PDF	N/A
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL	Unknown	PDF	N/A
Neuron-Enhanced AutoEncoder Matrix Completion and Collaborative Filtering: Theory and Practice	Unknown	PDF	N/A
Efficient ConvBN Blocks for Transfer Learning and Beyond	Unknown	PDF	N/A
Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning	Unknown	PDF	N/A
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval	Unknown	PDF	N/A
Lipschitz Singularities in Diffusion Models	Unknown	PDF	N/A
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images	Unknown	PDF	N/A
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations	Unknown	PDF	N/A
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression	Unknown	PDF	N/A
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs	Unknown	PDF	N/A
Vision-Language Foundation Models as Effective Robot Imitators	Unknown	PDF	N/A
Learning Nash Equilibria in Rank-1 Games	Unknown	PDF	N/A
GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation	Unknown	PDF	N/A
FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators	Unknown	PDF	N/A
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation	Unknown	PDF	N/A
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models	Unknown	PDF	N/A
STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models	Unknown	PDF	N/A
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction	Unknown	PDF	N/A
Transferring Learning Trajectories of Neural Networks	Unknown	PDF	N/A
Scalable and Effective Implicit Graph Neural Networks on Large Graphs	Unknown	PDF	N/A
Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework	Unknown	PDF	N/A
GraphPulse: Topological representations for temporal graph property prediction	Unknown	PDF	N/A
Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments	Unknown	PDF	N/A
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training	Unknown	PDF	N/A
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games	Unknown	PDF	N/A
R-MAE: Regions Meet Masked Autoencoders	Unknown	PDF	N/A
Label-Focused Inductive Bias over Latent Object Features in Visual Classification	Unknown	PDF	N/A
Dissecting learning and forgetting in language model finetuning	Unknown	PDF	N/A
Prediction without Preclusion: Recourse Verification with Reachable Sets	Unknown	PDF	N/A
Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View	Unknown	PDF	N/A
Federated Causal Discovery from Heterogeneous Data	Unknown	PDF	N/A
Amortized Network Intervention to Steer the Excitatory Point Processes	Unknown	PDF	N/A
Decodable and Sample Invariant Continuous Object Encoder	Unknown	PDF	N/A
Tangent Transformers for Composition,Privacy and Removal	Unknown	PDF	N/A
Beyond Memorization: Violating Privacy via Inference with Large Language Models	Unknown	PDF	N/A
Time Travel in LLMs: Tracing Data Contamination in Large Language Models	Unknown	PDF	N/A
How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data	Unknown	PDF	N/A
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents	Unknown	PDF	N/A
Masked Audio Generation using a Single Non-Autoregressive Transformer	Unknown	PDF	N/A
Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning	Unknown	PDF	N/A
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning	Unknown	PDF	N/A
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs	Unknown	PDF	N/A
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization	Unknown	PDF	N/A
Sliced Wasserstein Estimation with Control Variates	Unknown	PDF	N/A
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE	Unknown	PDF	N/A
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis	Unknown	PDF	N/A
A representation-learning game for classes of prediction tasks	Unknown	PDF	N/A
Query-Policy Misalignment in Preference-Based Reinforcement Learning	Unknown	PDF	N/A
SparseFormer: Sparse Visual Recognition via Limited Latent Tokens	Unknown	PDF	N/A
NECO: NEural Collapse Based Out-of-distribution detection	Unknown	PDF	N/A
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision	Unknown	PDF	N/A
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning	Unknown	PDF	N/A
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models	Unknown	PDF	N/A
Accurate Forgetting for Heterogeneous Federated Continual Learning	Unknown	PDF	N/A
EControl: Fast Distributed Optimization with Compression and Error Control	Unknown	PDF	N/A
Divide and not forget: Ensemble of selectively trained experts in Continual Learning	Unknown	PDF	N/A
UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling	Unknown	PDF	N/A
Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s)	Unknown	PDF	N/A
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research	Unknown	PDF	N/A
Protein-ligand binding representation learning from fine-grained interactions	Unknown	PDF	N/A
Universal Jailbreak Backdoors from Poisoned Human Feedback	Unknown	PDF	N/A
VDT: General-purpose Video Diffusion Transformers via Mask Modeling	Unknown	PDF	N/A
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models	Unknown	PDF	N/A
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs	Unknown	PDF	N/A
Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding	Unknown	PDF	N/A
Constrained Decoding for Cross-lingual Label Projection	Unknown	PDF	N/A
Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation	Unknown	PDF	N/A
Tag2Text: Guiding Vision-Language Model via Image Tagging	Unknown	PDF	N/A
Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners	Unknown	PDF	N/A
Multi-task Learning with 3D-Aware Regularization	Unknown	PDF	N/A
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video	Unknown	PDF	N/A
MixSATGEN: Learning Graph Mixing for SAT Instance Generation	Unknown	PDF	N/A
On the Parameterization of Second-Order Optimization Effective towards the Infinite Width	Unknown	PDF	N/A
Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution	Unknown	PDF	N/A
Gradual Domain Adaptation via Gradient Flow	Unknown	PDF	N/A
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks	Unknown	PDF	N/A
Layer-wise linear mode connectivity	Unknown	PDF	N/A
Guiding Masked Representation Learning to Capture Spatio-Temporal Relationship of Electrocardiogram	Unknown	PDF	N/A
Decoupling regularization from the action space	Unknown	PDF	N/A
Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation	Unknown	PDF	N/A
Learning in reverse causal strategic environments with ramifications on two sided markets	Unknown	PDF	N/A
Learning to design protein-protein interactions with enhanced generalization	Unknown	PDF	N/A
CLAP: Collaborative Adaptation for Patchwork Learning	Unknown	PDF	N/A
Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification	Unknown	PDF	N/A
Towards Understanding Factual Knowledge of Large Language Models	Unknown	PDF	N/A
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community	Unknown	PDF	N/A
Invariance-based Learning of Latent Dynamics	Unknown	PDF	N/A
Addressing Signal Delay in Deep Reinforcement Learning	Unknown	PDF	N/A
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data	Unknown	PDF	N/A
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate	Unknown	PDF	N/A
Differentially Private Synthetic Data via Foundation Model APIs 1: Images	Unknown	PDF	N/A
On Differentially Private Federated Linear Contextual Bandits	Unknown	PDF	N/A
Federated Wasserstein Distance	Unknown	PDF	N/A
Win-Win: Training High-Resolution Vision Transformers from Two Windows	Unknown	PDF	N/A
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation	Unknown	PDF	N/A
Trajeglish: Traffic Modeling as Next-Token Prediction	Unknown	PDF	N/A
Bayesian Low-rank Adaptation for Large Language Models	Unknown	PDF	N/A
Detecting, Explaining, and Mitigating Memorization in Diffusion Models	Unknown	PDF	N/A
An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks	Unknown	PDF	N/A
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning	Unknown	PDF	N/A
Brain decoding: toward real-time reconstruction of visual perception	Unknown	PDF	N/A
Cauchy-Schwarz Divergence Information Bottleneck for Regression	Unknown	PDF	N/A
Adaptive Window Pruning for Efficient Local Motion Deblurring	Unknown	PDF	N/A
Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate	Unknown	PDF	N/A
ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models	Unknown	PDF	N/A
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting	Unknown	PDF	N/A
Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach	Unknown	PDF	N/A
Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning	Unknown	PDF	N/A
A Primal-Dual Approach to Solving Variational Inequalities with General Constraints	Unknown	PDF	N/A
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition	Unknown	PDF	N/A
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception	Unknown	PDF	N/A
Robust Classification via Regression for Learning with Noisy Labels	Unknown	PDF	N/A
Does CLIP’s generalization performance mainly stem from high train-test similarity?	Unknown	PDF	N/A
GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries	Unknown	PDF	N/A
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization	Unknown	PDF	N/A
Understanding prompt engineering may not require rethinking generalization	Unknown	PDF	N/A
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers	Unknown	PDF	N/A
Reverse Diffusion Monte Carlo	Unknown	PDF	N/A
Spurious Feature Diversification Improves Out-of-distribution Generalization	Unknown	PDF	N/A
Interpreting Robustness Proofs of Deep Neural Networks	Unknown	PDF	N/A
OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text	Unknown	PDF	N/A
Incentive-Aware Federated Learning with Training-Time Model Rewards	Unknown	PDF	N/A
SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS	Unknown	PDF	N/A
Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning	Unknown	PDF	N/A
Communication-Efficient Federated Non-Linear Bandit Optimization	Unknown	PDF	N/A
Provable Robust Watermarking for AI-Generated Text	Unknown	PDF	N/A
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition	Unknown	PDF	N/A
Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses	Unknown	PDF	N/A
An LLM can Fool Itself: A Prompt-Based Adversarial Attack	Unknown	PDF	N/A
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space	Unknown	PDF	N/A
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models	Unknown	PDF	N/A
Enhancing Human-AI Collaboration Through Logic-Guided Reasoning	Unknown	PDF	N/A
Synaptic Weight Distributions Depend on the Geometry of Plasticity	Unknown	PDF	N/A
ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor	Unknown	PDF	N/A
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation	Unknown	PDF	N/A
Outlier-Robust Subsampling Techniques for Persistent Homology	Unknown	PDF	N/A
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation	Unknown	PDF	N/A
ODEFormer: Symbolic Regression of Dynamical Systems with Transformers	Unknown	PDF	N/A
VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks	Unknown	PDF	N/A
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition	Unknown	PDF	N/A
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning	Unknown	PDF	N/A
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression	Unknown	PDF	N/A
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models	Unknown	PDF	N/A
When can transformers reason with abstract symbols?	Unknown	PDF	N/A
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations	Unknown	PDF	N/A
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection	Unknown	PDF	N/A
Safe RLHF: Safe Reinforcement Learning from Human Feedback	Unknown	PDF	N/A
Mayfly: a Neural Data Structure for Graph Stream Summarization	Unknown	PDF	N/A
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds	Unknown	PDF	N/A
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery	Unknown	PDF	N/A
On Adversarial Training without Perturbing all Examples	Unknown	PDF	N/A
ReLoRA: High-Rank Training Through Low-Rank Updates	Unknown	PDF	N/A
VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models	Unknown	PDF	N/A
Provable Compositional Generalization for Object-Centric Learning	Unknown	PDF	N/A
Neural Common Neighbor with Completion for Link Prediction	Unknown	PDF	N/A
Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns	Unknown	PDF	N/A
DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models	Unknown	PDF	N/A
Masked Completion via Structured Diffusion with White-Box Transformers	Unknown	PDF	N/A
PubDef: Defending Against Transfer Attacks From Public Models	Unknown	PDF	N/A
Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching	Unknown	PDF	N/A
Efficient Streaming Language Models with Attention Sinks	Unknown	PDF	N/A
Defining and extracting generalizable interaction primitives from DNNs	Unknown	PDF	N/A
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models	Unknown	PDF	N/A
Fine-Tuning Language Models for Factuality	Unknown	PDF	N/A
Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods	Unknown	PDF	N/A
Training Bayesian Neural Networks with Sparse Subspace Variational Inference	Unknown	PDF	N/A
Spatially-Aware Transformers for Embodied Agents	Unknown	PDF	N/A
DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness	Unknown	PDF	N/A
Seer: Language Instructed Video Prediction with Latent Diffusion Models	Unknown	PDF	N/A
Let's do the time-warp-attend: Learning topological invariants of dynamical systems	Unknown	PDF	N/A
Querying Easily Flip-flopped Samples for Deep Active Learning	Unknown	PDF	N/A
Quasi-Monte Carlo for 3D Sliced Wasserstein	Unknown	PDF	N/A
TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks	Unknown	PDF	N/A
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior	Unknown	PDF	N/A
Improved algorithm and bounds for successive projection	Unknown	PDF	N/A
Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts	Unknown	PDF	N/A
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models	Unknown	PDF	N/A
GeoLLM: Extracting Geospatial Knowledge from Large Language Models	Unknown	PDF	N/A
LILO: Learning Interpretable Libraries by Compressing and Documenting Code	Unknown	PDF	N/A
NOLA: Compressing LoRA using Linear Combination of Random Basis	Unknown	PDF	N/A
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics	Unknown	PDF	N/A
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders	Unknown	PDF	N/A
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models	Unknown	PDF	N/A
On Characterizing the Trade-off in Invariant Representation Learning	Unknown	PDF	N/A
Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction	Unknown	PDF	N/A
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning	Unknown	PDF	N/A
Llemma: An Open Language Model for Mathematics	Unknown	PDF	N/A
Zeroth-Order Optimization Meets Human Feedback: Provable Learning via Ranking Oracles	Unknown	PDF	N/A
Distributionally Robust Optimization with Bias and Variance Reduction	Unknown	PDF	N/A
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees	Unknown	PDF	N/A
Fast Hyperboloid Decision Tree Algorithms	Unknown	PDF	N/A
TiC-CLIP: Continual Training of CLIP Models	Unknown	PDF	N/A
Neural Ordinary Differential Equations for Modeling Epidemic Spreading	Unknown	PDF	N/A
Tree Cross Attention	Unknown	PDF	N/A
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning	Unknown	PDF	N/A
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation	Unknown	PDF	N/A
Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction	Unknown	PDF	N/A
Neur2RO: Neural Two-Stage Robust Optimization	Unknown	PDF	N/A
Variational Bayesian Last Layers	Unknown	PDF	N/A
Finetuning Text-to-Image Diffusion Models for Fairness	Unknown	PDF	N/A
IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models	Unknown	PDF	N/A
Improving Non-Transferable Representation Learning by Harnessing Content and Style	Unknown	PDF	N/A
AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification	Unknown	PDF	N/A
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making	Unknown	PDF	N/A
CABINET: Content Relevance-based Noise Reduction for Table Question Answering	Unknown	PDF	N/A
Efficient local linearity regularization to overcome catastrophic overfitting	Unknown	PDF	N/A
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting	Unknown	PDF	N/A
Social-Transmotion: Promptable Human Trajectory Prediction	Unknown	PDF	N/A
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models	Unknown	PDF	N/A
Controlled Text Generation via Language Model Arithmetic	Unknown	PDF	N/A
Neural Fourier Transform: A General Approach to Equivariant Representation Learning	Unknown	PDF	N/A
Hybrid Sharing for Multi-Label Image Classification	Unknown	PDF	N/A
Learning invariant representations of time-homogeneous stochastic dynamical systems	Unknown	PDF	N/A
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models	Unknown	PDF	N/A
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing	Unknown	PDF	N/A
Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP	Unknown	PDF	N/A
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities	Unknown	PDF	N/A
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error	Unknown	PDF	N/A
SolidGen: An Autoregressive Model for Direct B-rep Synthesis	Unknown	PDF	N/A
DEEP NEURAL NETWORK INITIALIZATION WITH SPARSITY INDUCING ACTIVATIONS	Unknown	PDF	N/A
Guiding Instruction-based Image Editing via Multimodal Large Language Models	Unknown	PDF	N/A
A Foundation Model for Error Correction Codes	Unknown	PDF	N/A
Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space	Unknown	PDF	N/A
Learning to Make Adherence-aware Advice	Unknown	PDF	N/A
Tree Search-Based Policy Optimization under Stochastic Execution Delay	Unknown	PDF	N/A
High Fidelity Neural Audio Compression	Unknown	PDF	N/A
Sufficient conditions for offline reactivation in recurrent neural networks	Unknown	PDF	N/A
A Generalist Agent	Unknown	PDF	N/A
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks	Unknown	PDF	N/A
Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis	Unknown	PDF	N/A
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees	Unknown	PDF	N/A
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules	Unknown	PDF	N/A
Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback	Unknown	PDF	N/A
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting	Unknown	PDF	N/A
Graph Generation with $K^2$-trees	Unknown	PDF	N/A
Memory-Consistent Neural Networks for Imitation Learning	Unknown	PDF	N/A
PRIME: Prioritizing Interpretability in Failure Mode Extraction	Unknown	PDF	N/A
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation	Unknown	PDF	N/A
OpenTab: Advancing Large Language Models as Open-domain Table Reasoners	Unknown	PDF	N/A
Lemur: Integrating Large Language Models in Automated Program Verification	Unknown	PDF	N/A
A Simple and Effective Pruning Approach for Large Language Models	Unknown	PDF	N/A
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions	Unknown	PDF	N/A
Quadratic models for understanding catapult dynamics of neural networks	Unknown	PDF	N/A
Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks	Unknown	PDF	N/A
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion	Unknown	PDF	N/A
Learning to Solve Bilevel Programs with Binary Tender	Unknown	PDF	N/A
PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training	Unknown	PDF	N/A
Fusing Models with Complementary Expertise	Unknown	PDF	N/A
Making RL with Preference-based Feedback Efficient via Randomization	Unknown	PDF	N/A
Local Search GFlowNets	Unknown	PDF	N/A
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors	Unknown	PDF	N/A
Data-independent Module-aware Pruning for Hierarchical Vision Transformers	Unknown	PDF	N/A
Matryoshka Diffusion Models	Unknown	PDF	N/A
Pre-training with Synthetic Data Helps Offline Reinforcement Learning	Unknown	PDF	N/A
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation	Unknown	PDF	N/A
Understanding the Effects of RLHF on LLM Generalisation and Diversity	Unknown	PDF	N/A
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization	Unknown	PDF	N/A
Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning	Unknown	PDF	N/A
Reinforcement Symbolic Regression Machine	Unknown	PDF	N/A
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation	Unknown	PDF	N/A
BRUSLEATTACK: A QUERY-EFFICIENT SCORE- BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK	Unknown	PDF	N/A
Learning Energy Decompositions for Partial Inference in GFlowNets	Unknown	PDF	N/A
Unlocking the Power of Representations in Long-term Novelty-based Exploration	Unknown	PDF	N/A
Augmented Bayesian Policy Search	Unknown	PDF	N/A
ImagenHub: Standardizing the evaluation of conditional image generation models	Unknown	PDF	N/A
Universal Humanoid Motion Representations for Physics-Based Control	Unknown	PDF	N/A
PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation	Unknown	PDF	N/A
Estimating Conditional Mutual Information for Dynamic Feature Selection	Unknown	PDF	N/A
ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models	Unknown	PDF	N/A
Spectrally Transformed Kernel Regression	Unknown	PDF	N/A
Adversarial AutoMixup	Unknown	PDF	N/A
First-order ANIL provably learns representations despite overparametrisation	Unknown	PDF	N/A
Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization	Unknown	PDF	N/A
GenSim: Generating Robotic Simulation Tasks via Large Language Models	Unknown	PDF	N/A
Multi-View Causal Representation Learning with Partial Observability	Unknown	PDF	N/A
Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data	Unknown	PDF	N/A
DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models	Unknown	PDF	N/A
Leveraging Optimization for Adaptive Attacks on Image Watermarks	Unknown	PDF	N/A
CNN Kernels Can Be the Best Shapelets	Unknown	PDF	N/A
A Lie Group Approach to Riemannian Batch Normalization	Unknown	PDF	N/A
Modelling complex vector drawings with stroke-clouds	Unknown	PDF	N/A
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions	Unknown	PDF	N/A
Exposing Text-Image Inconsistency Using Diffusion Models	Unknown	PDF	N/A
Task Planning for Visual Room Rearrangement under Partial Observability	Unknown	PDF	N/A
FOSI: Hybrid First and Second Order Optimization	Unknown	PDF	N/A
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists	Unknown	PDF	N/A
3D Reconstruction with Generalizable Neural Fields using Scene Priors	Unknown	PDF	N/A
Lagrangian Flow Networks for Conservation Laws	Unknown	PDF	N/A
fairret: a Framework for Differentiable Fairness Regularization Terms	Unknown	PDF	N/A
LitCab: Lightweight Language Model Calibration over Short- and Long-form Responses	Unknown	PDF	N/A
Massive Editing for Large Language Models via Meta Learning	Unknown	PDF	N/A
Fantastic Generalization Measures are Nowhere to be Found	Unknown	PDF	N/A
VeRA: Vector-based Random Matrix Adaptation	Unknown	PDF	N/A
Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach	Unknown	PDF	N/A
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds	Unknown	PDF	N/A
Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces	Unknown	PDF	N/A
V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection	Unknown	PDF	N/A
TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts	Unknown	PDF	N/A
Learning Multi-Faceted Prototypical User Interests	Unknown	PDF	N/A
PeFLL: Personalized Federated Learning by Learning to Learn	Unknown	PDF	N/A
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks	Unknown	PDF	N/A
Delta-AI: Local objectives for amortized inference in sparse graphical models	Unknown	PDF	N/A
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization	Unknown	PDF	N/A
Effective Structural Encodings via Local Curvature Profiles	Unknown	PDF	N/A
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering	Unknown	PDF	N/A
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image	Unknown	PDF	N/A
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation	Unknown	PDF	N/A
Improving Offline RL by Blending Heuristics	Unknown	PDF	N/A
Learning dynamic representations of the functional connectome in neurobiological networks	Unknown	PDF	N/A
RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering	Unknown	PDF	N/A
Learning interpretable control inputs and dynamics underlying animal locomotion	Unknown	PDF	N/A
The Effectiveness of Random Forgetting for Robust Generalization	Unknown	PDF	N/A
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents	Unknown	PDF	N/A
Unraveling the Key Components of OOD Generalization via Diversification	Unknown	PDF	N/A
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis	Unknown	PDF	N/A
JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention	Unknown	PDF	N/A
ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update	Unknown	PDF	N/A
Online GNN Evaluation Under Test-time Graph Distribution Shifts	Unknown	PDF	N/A
Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models	Unknown	PDF	N/A
Cascading Reinforcement Learning	Unknown	PDF	N/A
CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning	Unknown	PDF	N/A
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning	Unknown	PDF	N/A
Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference	Unknown	PDF	N/A
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models	Unknown	PDF	N/A
ReMasker: Imputing Tabular Data with Masked Autoencoding	Unknown	PDF	N/A
A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks	Unknown	PDF	N/A
Diving Segmentation Model into Pixels	Unknown	PDF	N/A
Robust Similarity Learning with Difference Alignment Regularization	Unknown	PDF	N/A
Exploring Weight Balancing on Long-Tailed Recognition Problem	Unknown	PDF	N/A
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach	Unknown	PDF	N/A
GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules	Unknown	PDF	N/A
Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models	Unknown	PDF	N/A
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models	Unknown	PDF	N/A
LabelDP-Pro: Learning with Label Differential Privacy via Projections	Unknown	PDF	N/A
FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing	Unknown	PDF	N/A
Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation	Unknown	PDF	N/A
Learning to Jointly Understand Visual and Tactile Signals	Unknown	PDF	N/A
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction	Unknown	PDF	N/A
A path-norm toolkit for modern networks: consequences, promises and challenges	Unknown	PDF	N/A
Deep Confident Steps to New Pockets: Strategies for Docking Generalization	Unknown	PDF	N/A
Training-free Multi-objective Diffusion Model for 3D Molecule Generation	Unknown	PDF	N/A
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs	Unknown	PDF	N/A
Scaling Laws of RoPE-based Extrapolation	Unknown	PDF	N/A
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science	Unknown	PDF	N/A
Rethinking Label Poisoning for GNNs: Pitfalls and Attacks	Unknown	PDF	N/A
Efficient Score Matching with Deep Equilibrium Layers	Unknown	PDF	N/A
Jointly-Learned Exit and Inference for a Dynamic Neural Network	Unknown	PDF	N/A
Private Zeroth-Order Nonsmooth Nonconvex Optimization	Unknown	PDF	N/A
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?	Unknown	PDF	N/A
Deep Neural Networks Tend To Extrapolate Predictably	Unknown	PDF	N/A
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks	Unknown	PDF	N/A
Scalable Language Model with Generalized Continual Learning	Unknown	PDF	N/A
FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation	Unknown	PDF	N/A
WebArena: A Realistic Web Environment for Building Autonomous Agents	Unknown	PDF	N/A
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model	Unknown	PDF	N/A
Language Model Inversion	Unknown	PDF	N/A
A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation	Unknown	PDF	N/A
Consistent Video-to-Video Transfer Using Synthetic Dataset	Unknown	PDF	N/A
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks	Unknown	PDF	N/A
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate	Unknown	PDF	N/A
Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection	Unknown	PDF	N/A
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism	Unknown	PDF	N/A
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation	Unknown	PDF	N/A
Learning Hierarchical Image Segmentation For Recognition and By Recognition	Unknown	PDF	N/A
Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning	Unknown	PDF	N/A
DIFFTACTILE: A Physics-based Differentiable Tactile Simulator for Contact-rich Robotic Manipulation	Unknown	PDF	N/A
On the Role of Discrete Tokenization in Visual Representation Learning	Unknown	PDF	N/A
In-Context Learning Dynamics with Random Binary Sequences	Unknown	PDF	N/A
Influencer Backdoor Attack on Semantic Segmentation	Unknown	PDF	N/A
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization	Unknown	PDF	N/A
Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time	Unknown	PDF	N/A
Whittle Index with Multiple Actions and State Constraint for Inventory Management	Unknown	PDF	N/A
ControlVideo: Training-free Controllable Text-to-video Generation	Unknown	PDF	N/A
Jointly Training Large Autoregressive Multimodal Models	Unknown	PDF	N/A
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies	Unknown	PDF	N/A
MiniLLM: Knowledge Distillation of Large Language Models	Unknown	PDF	N/A
Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network	Unknown	PDF	N/A
Multiscale Positive-Unlabeled Detection of AI-Generated Texts	Unknown	PDF	N/A
Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning	Unknown	PDF	N/A
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method	Unknown	PDF	N/A
The Effective Horizon Explains Deep RL Performance in Stochastic Environments	Unknown	PDF	N/A
Interpreting CLIP's Image Representation via Text-Based Decomposition	Unknown	PDF	N/A
Demystifying CLIP Data	Unknown	PDF	N/A
Optimal Sample Complexity for Average Reward Markov Decision Processes	Unknown	PDF	N/A
Space and time continuous physics simulation from partial observations	Unknown	PDF	N/A
Learning 3D Particle-based Simulators from RGB-D Videos	Unknown	PDF	N/A
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning	Unknown	PDF	N/A
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry	Unknown	PDF	N/A
EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING	Unknown	PDF	N/A
Adaptive Instrument Design for Indirect Experiments	Unknown	PDF	N/A
Towards Foundation Models for Knowledge Graph Reasoning	Unknown	PDF	N/A
Locality-Aware Graph Rewiring in GNNs	Unknown	PDF	N/A
Curiosity-driven Red-teaming for Large Language Models	Unknown	PDF	N/A
The Devil is in the Object Boundary: Towards Annotation-free Instance Segmentation using Foundation Models	Unknown	PDF	N/A
Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning	Unknown	PDF	N/A
LCOT: Linear Circular Optimal Transport	Unknown	PDF	N/A
OPTIMAL ROBUST MEMORIZATION WITH RELU NEURAL NETWORKS	Unknown	PDF	N/A
Stochastic Controlled Averaging for Federated Learning with Communication Compression	Unknown	PDF	N/A
DORSal: Diffusion for Object-centric Representations of Scenes $\textit{et al.}$	Unknown	PDF	N/A
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning	Unknown	PDF	N/A
T-Rep: Representation Learning for Time Series using Time-Embeddings	Unknown	PDF	N/A
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training	Unknown	PDF	N/A
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning	Unknown	PDF	N/A
Boosting Vanilla Lightweight Vision Transformers via Re-parameterization	Unknown	PDF	N/A
Rethinking the Uniformity Metric in Self-Supervised Learning	Unknown	PDF	N/A
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy	Unknown	PDF	N/A
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases	Unknown	PDF	N/A
Identifying Representations for Intervention Extrapolation	Unknown	PDF	N/A
Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection	Unknown	PDF	N/A
Generalization error of spectral algorithms	Unknown	PDF	N/A
CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping	Unknown	PDF	N/A
The Reasonableness Behind Unreasonable Translation Capability of Large Language Model	Unknown	PDF	N/A
On Representation Complexity of Model-based and Model-free Reinforcement Learning	Unknown	PDF	N/A
EX-Graph: A Pioneering Dataset Bridging Ethereum and X	Unknown	PDF	N/A
Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View	Unknown	PDF	N/A
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems	Unknown	PDF	N/A
Beating Price of Anarchy and Gradient Descent without Regret in Potential Games	Unknown	PDF	N/A
Conformal Risk Control	Unknown	PDF	N/A
Fair Classifiers that Abstain without Harm	Unknown	PDF	N/A
Repelling Random Walks	Unknown	PDF	N/A
Separating common from salient patterns with Contrastive Representation Learning	Unknown	PDF	N/A
Instant3D: Fast Text-to-3D with Sparse-view Generation and Large Reconstruction Model	Unknown	PDF	N/A
Learning the greatest common divisor: explaining transformer predictions	Unknown	PDF	N/A
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics	Unknown	PDF	N/A
Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making	Unknown	PDF	N/A
Vision Transformers Need Registers	Unknown	PDF	N/A
Efficient and Scalable Graph Generation through Iterative Local Expansion	Unknown	PDF	N/A
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning	Unknown	PDF	N/A
Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance	Unknown	PDF	N/A
Neural Spectral Methods: Self-supervised learning in the spectral domain	Unknown	PDF	N/A
Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models	Unknown	PDF	N/A
RETSim: Resilient and Efficient Text Similarity	Unknown	PDF	N/A
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following	Unknown	PDF	N/A
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection	Unknown	PDF	N/A
Convolutional Deep Kernel Machines	Unknown	PDF	N/A
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach	Unknown	PDF	N/A
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation	Unknown	PDF	N/A
I-PHYRE: Interactive Physical Reasoning	Unknown	PDF	N/A
Defining Expertise: Applications to Treatment Effect Estimation	Unknown	PDF	N/A
A Variational Perspective on Solving Inverse Problems with Diffusion Models	Unknown	PDF	N/A
Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes	Unknown	PDF	N/A
Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks	Unknown	PDF	N/A
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips	Unknown	PDF	N/A
Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings	Unknown	PDF	N/A
MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning	Unknown	PDF	N/A
Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality	Unknown	PDF	N/A
LipSim: A Provably Robust Perceptual Similarity Metric	Unknown	PDF	N/A
SALMONN: Towards Generic Hearing Abilities for Large Language Models	Unknown	PDF	N/A
Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF	Unknown	PDF	N/A
Project and Probe: Sample-Efficient Adaptation by Interpolating Orthogonal Features	Unknown	PDF	N/A
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models	Unknown	PDF	N/A
On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation	Unknown	PDF	N/A
Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision	Unknown	PDF	N/A
From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module	Unknown	PDF	N/A
AutoLoRa: An Automated Robust Fine-Tuning Framework	Unknown	PDF	N/A
Dropout Enhanced Bilevel Training	Unknown	PDF	N/A
Predicting Emergent Abilities with Infinite Resolution Evaluation	Unknown	PDF	N/A
LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference	Unknown	PDF	N/A
On Diffusion Modeling for Anomaly Detection	Unknown	PDF	N/A
Efficient Modulation for Vision Networks	Unknown	PDF	N/A
Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression	Unknown	PDF	N/A
G$^2$N$^2$ : Weisfeiler and Lehman go grammatical	Unknown	PDF	N/A
Time-Varying Propensity Score to Bridge the Gap between the Past and Present	Unknown	PDF	N/A
Discovering modular solutions that generalize compositionally	Unknown	PDF	N/A
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders	Unknown	PDF	N/A
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps	Unknown	PDF	N/A
Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis	Unknown	PDF	N/A
Masked Structural Growth for 2x Faster Language Model Pre-training	Unknown	PDF	N/A
On the Generalization and Approximation Capacities of Neural Controlled Differential Equations	Unknown	PDF	N/A
Robust Angular Synchronization via Directed Graph Neural Networks	Unknown	PDF	N/A
Maximum Entropy Model Correction in Reinforcement Learning	Unknown	PDF	N/A
Improving protein optimization with smoothed fitness landscapes	Unknown	PDF	N/A
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight	Unknown	PDF	N/A
Quantifying the Plausibility of Context Reliance in Neural Machine Translation	Unknown	PDF	N/A
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity	Unknown	PDF	N/A
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products	Unknown	PDF	N/A
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation	Unknown	PDF	N/A
Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem	Unknown	PDF	N/A
Sample-Efficient Multi-Agent RL: An Optimization Perspective	Unknown	PDF	N/A
Multimodal Molecular Pretraining via Modality Blending	Unknown	PDF	N/A
Online Information Acquisition: Hiring Multiple Agents	Unknown	PDF	N/A
RAIN: Your Language Models Can Align Themselves without Finetuning	Unknown	PDF	N/A
Lie Group Decompositions for Equivariant Neural Networks	Unknown	PDF	N/A
Masks, Signs, And Learning Rate Rewinding	Unknown	PDF	N/A
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation	Unknown	PDF	N/A
Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks	Unknown	PDF	N/A
TabR: Tabular Deep Learning Meets Nearest Neighbors	Unknown	PDF	N/A
Conformal Prediction via Regression-as-Classification	Unknown	PDF	N/A
The Human-AI Substitution game: active learning from a strategic labeler	Unknown	PDF	N/A
Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization	Unknown	PDF	N/A
Classification with Conceptual Safeguards	Unknown	PDF	N/A
$\mathbb{D}^2$ Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning	Unknown	PDF	N/A
Scaling physics-informed hard constraints with mixture-of-experts	Unknown	PDF	N/A
On Stationary Point Convergence of PPO-Clip	Unknown	PDF	N/A
How to Capture Higher-order Correlations? Generalizing Matrix Softmax Attention to Kronecker Computation	Unknown	PDF	N/A
General Graph Random Features	Unknown	PDF	N/A
Are Models Biased on Text without Gender-related Language?	Unknown	PDF	N/A
Uni3D: Exploring Unified 3D Representation at Scale	Unknown	PDF	N/A
Privacy-Preserving In-Context Learning for Large Language Models	Unknown	PDF	N/A
A Discretization Framework for Robust Contextual Stochastic Optimization	Unknown	PDF	N/A
Chain of Log-Concave Markov Chains	Unknown	PDF	N/A
A Quadratic Synchronization Rule for Distributed Deep Learning	Unknown	PDF	N/A
Perceptual Scales Predicted by Fisher Information Metrics	Unknown	PDF	N/A
Protein Discovery with Discrete Walk-Jump Sampling	Unknown	PDF	N/A
Fast and unified path gradient estimators for normalizing flows	Unknown	PDF	N/A
Out-of-Variable Generalisation for Discriminative Models	Unknown	PDF	N/A
A Simple and Scalable Representation for Graph Generation	Unknown	PDF	N/A
Listen, Think, and Understand	Unknown	PDF	N/A
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning	Unknown	PDF	N/A
TokenFlow: Consistent Diffusion Features for Consistent Video Editing	Unknown	PDF	N/A
Language-Informed Visual Concept Learning	Unknown	PDF	N/A
Turning large language models into cognitive models	Unknown	PDF	N/A
Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries	Unknown	PDF	N/A
Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts	Unknown	PDF	N/A
Unveiling Options with Neural Network Decomposition	Unknown	PDF	N/A
Towards the Fundamental Limits of Knowledge Transfer over Finite Domains	Unknown	PDF	N/A
Active Test-Time Adaptation: Theoretical Analyses and An Algorithm	Unknown	PDF	N/A
Quantifying and Enhancing Multi-modal Robustness with Modality Preference	Unknown	PDF	N/A
RingAttention with Blockwise Transformers for Near-Infinite Context	Unknown	PDF	N/A
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data	Unknown	PDF	N/A
Improved Techniques for Training Consistency Models	Unknown	PDF	N/A
Modeling Boundedly Rational Agents with Latent Inference Budgets	Unknown	PDF	N/A
HYPO: Hyperspherical Out-Of-Distribution Generalization	Unknown	PDF	N/A
On the Foundations of Shortcut Learning	Unknown	PDF	N/A
Emergent Communication with Conversational Repair	Unknown	PDF	N/A
SmartPlay : A Benchmark for LLMs as Intelligent Agents	Unknown	PDF	N/A
A General Framework for User-Guided Bayesian Optimization	Unknown	PDF	N/A
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior	Unknown	PDF	N/A
HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance	Unknown	PDF	N/A
Understanding Domain Generalization: A Noise Robustness Perspective	Unknown	PDF	N/A
Can Transformers Capture Spatial Relations between Objects?	Unknown	PDF	N/A
The LLM Surgeon	Unknown	PDF	N/A
Causal-StoNet: Causal Inference for High-Dimensional Complex Data	Unknown	PDF	N/A
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms	Unknown	PDF	N/A
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations	Unknown	PDF	N/A
Diffusion-TS: Interpretable Diffusion for General Time Series Generation	Unknown	PDF	N/A
Why is SAM Robust to Label Noise?	Unknown	PDF	N/A
An Efficient Tester-Learner for Halfspaces	Unknown	PDF	N/A
Batch normalization is sufficient for universal function approximation in CNNs	Unknown	PDF	N/A
Neural structure learning with stochastic differential equations	Unknown	PDF	N/A
Predictive, scalable and interpretable knowledge tracing on structured domains	Unknown	PDF	N/A
Imitation Learning from Observation with Automatic Discount Scheduling	Unknown	PDF	N/A
Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition	Unknown	PDF	N/A
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms	Unknown	PDF	N/A
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions	Unknown	PDF	N/A
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking	Unknown	PDF	N/A
A Benchmark Study on Calibration	Unknown	PDF	N/A
BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks	Unknown	PDF	N/A
Guaranteed Approximation Bounds for Mixed-Precision Neural Operators	Unknown	PDF	N/A
Lifting Architectural Constraints of Injective Flows	Unknown	PDF	N/A
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost	Unknown	PDF	N/A
Language Model Self-improvement by Reinforcement Learning Contemplation	Unknown	PDF	N/A
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices	Unknown	PDF	N/A
SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models	Unknown	PDF	N/A
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN	Unknown	PDF	N/A
Rethinking Model Ensemble in Transfer-based Adversarial Attacks	Unknown	PDF	N/A
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning	Unknown	PDF	N/A
ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis	Unknown	PDF	N/A
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction	Unknown	PDF	N/A
Attention-based Iterative Decomposition for Tensor Product Representation	Unknown	PDF	N/A
On the Role of General Function Approximation in Offline Reinforcement Learning	Unknown	PDF	N/A
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings	Unknown	PDF	N/A
The Generative AI Paradox: “What It Can Create, It May Not Understand”	Unknown	PDF	N/A
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning	Unknown	PDF	N/A
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement	Unknown	PDF	N/A
Evaluating Large Language Models at Evaluating Instruction Following	Unknown	PDF	N/A
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning	Unknown	PDF	N/A
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction	Unknown	PDF	N/A
Learning Grounded Action Abstractions from Language	Unknown	PDF	N/A
SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition	Unknown	PDF	N/A
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models	Unknown	PDF	N/A
Scaling Laws for Sparsely-Connected Foundation Models	Unknown	PDF	N/A
From Sparse to Soft Mixtures of Experts	Unknown	PDF	N/A
iGraphMix: Input Graph Mixup Method for Node Classification	Unknown	PDF	N/A
Retrieval-Enhanced Contrastive Vision-Text Models	Unknown	PDF	N/A
Raidar: geneRative AI Detection viA Rewriting	Unknown	PDF	N/A
Function Vectors in Large Language Models	Unknown	PDF	N/A
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?	Unknown	PDF	N/A
Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking	Unknown	PDF	N/A
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization	Unknown	PDF	N/A
A Policy Gradient Method for Confounded POMDPs	Unknown	PDF	N/A
MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data	Unknown	PDF	N/A
LEGO-Prover: Neural Theorem Proving with Growing Libraries	Unknown	PDF	N/A
THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS	Unknown	PDF	N/A
GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher	Unknown	PDF	N/A
On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs	Unknown	PDF	N/A
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models	Unknown	PDF	N/A
INViTE: INterpret and Control Vision-Language Models with Text Explanations	Unknown	PDF	N/A
Effective pruning of web-scale datasets based on complexity of concept clusters	Unknown	PDF	N/A
Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape	Unknown	PDF	N/A
Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment	Unknown	PDF	N/A
DiffEnc: Variational Diffusion with a Learned Encoder	Unknown	PDF	N/A
GIM: Learning Generalizable Image Matcher From Internet Videos	Unknown	PDF	N/A
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks	Unknown	PDF	N/A
The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric	Unknown	PDF	N/A
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods	Unknown	PDF	N/A
SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer	Unknown	PDF	N/A
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages	Unknown	PDF	N/A
Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances	Unknown	PDF	N/A
Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment	Unknown	PDF	N/A
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution	Unknown	PDF	N/A
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning	Unknown	PDF	N/A
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection	Unknown	PDF	N/A
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning	Unknown	PDF	N/A
Large Language Models Are Not Robust Multiple Choice Selectors	Unknown	PDF	N/A
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework	Unknown	PDF	N/A
In-context Autoencoder for Context Compression in a Large Language Model	Unknown	PDF	N/A
GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models	Unknown	PDF	N/A
Hard-Constrained Deep Learning for Climate Downscaling	Unknown	PDF	N/A
PB-LLM: Partially Binarized Large Language Models	Unknown	PDF	N/A
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression	Unknown	PDF	N/A
ZipIt! Merging Models from Different Tasks without Training	Unknown	PDF	N/A
Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs	Unknown	PDF	N/A
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations	Unknown	PDF	N/A
RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment	Unknown	PDF	N/A
Localizing and Editing Knowledge In Text-to-Image Generative Models	Unknown	PDF	N/A
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory	Unknown	PDF	N/A
Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns	Unknown	PDF	N/A
Linear attention is (maybe) all you need (to understand Transformer optimization)	Unknown	PDF	N/A
Scalable Diffusion for Materials Generation	Unknown	PDF	N/A
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process	Unknown	PDF	N/A
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches	Unknown	PDF	N/A
Differentiable Euler Characteristic Transforms for Shape Classification	Unknown	PDF	N/A
Simplicial Representation Learning with Neural $k$-Forms	Unknown	PDF	N/A
HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments	Unknown	PDF	N/A
Efficient Multi-agent Reinforcement Learning by Planning	Unknown	PDF	N/A
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines	Unknown	PDF	N/A
On the Stability of Iterative Retraining of Generative Models on their own Data	Unknown	PDF	N/A
A Study of Bayesian Neural Network Surrogates for Bayesian Optimization	Unknown	PDF	N/A
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text	Unknown	PDF	N/A
BooookScore: A systematic exploration of book-length summarization in the era of LLMs	Unknown	PDF	N/A
Prediction Error-based Classification for Class-Incremental Learning	Unknown	PDF	N/A
Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data	Unknown	PDF	N/A
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness	Unknown	PDF	N/A
The Need for Speed: Pruning Transformers with One Recipe	Unknown	PDF	N/A
Adapting to Distribution Shift by Visual Domain Prompt Generation	Unknown	PDF	N/A
ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering	Unknown	PDF	N/A

ICML 2020

Title	Author	PDF_Link	Code_URL
Confidence Sets and Hypothesis Testing in a Likelihood-Free Inference Setting	Unknown	PDF	N/A
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints	Unknown	PDF	N/A
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay	Unknown	PDF	N/A
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse	Unknown	PDF	N/A
A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change	Unknown	PDF	N/A
Low-Variance and Zero-Variance Baselines for Extensive-Form Games	Unknown	PDF	N/A
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization	Unknown	PDF	N/A
Sequence Generation with Mixed Representations	Unknown	PDF	N/A
Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space	Unknown	PDF	N/A
Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension	Unknown	PDF	N/A
Scalable Deep Generative Modeling for Sparse Graphs	Unknown	PDF	N/A
Efficient nonparametric statistical inference on population feature importance using Shapley values	Unknown	PDF	N/A
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?	Unknown	PDF	N/A
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors	Unknown	PDF	N/A
A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth	Unknown	PDF	N/A
PowerNorm: Rethinking Batch Normalization in Transformers	Unknown	PDF	N/A
It's Not What Machines Can Learn, It's What We Cannot Teach	Unknown	PDF	N/A
Improving generalization by controlling label-noise information in neural network weights	Unknown	PDF	N/A
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks	Unknown	PDF	N/A
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making	Unknown	PDF	N/A
Convergence of a Stochastic Gradient Method with Momentum for Non-Smooth Non-Convex Optimization	Unknown	PDF	N/A
Sample Amplification: Increasing Dataset Size even when Learning is Impossible	Unknown	PDF	N/A
Hypernetwork approach to generating point clouds	Unknown	PDF	N/A
Convex Calibrated Surrogates for the Multi-Label F-Measure	Unknown	PDF	N/A
Graph Optimal Transport for Cross-Domain Alignment	Unknown	PDF	N/A
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms	Unknown	PDF	N/A
Adversarial Filters of Dataset Biases	Unknown	PDF	N/A
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels	Unknown	PDF	N/A
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates	Unknown	PDF	N/A
Constrained Markov Decision Processes via Backward Value Functions	Unknown	PDF	N/A
Hierarchical Generation of Molecular Graphs using Structural Motifs	Unknown	PDF	N/A
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees	Unknown	PDF	N/A
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods	Unknown	PDF	N/A
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective	Unknown	PDF	N/A
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis	Unknown	PDF	N/A
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games	Unknown	PDF	N/A
ConQUR: Mitigating Delusional Bias in Deep Q-Learning	Unknown	PDF	N/A
Confidence-Aware Learning for Deep Neural Networks	Unknown	PDF	N/A
Bandits for BMO Functions	Unknown	PDF	N/A
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent	Unknown	PDF	N/A
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing	Unknown	PDF	N/A
Accelerating Large-Scale Inference with Anisotropic Vector Quantization	Unknown	PDF	N/A
Differentiating through the Fréchet Mean	Unknown	PDF	N/A
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs	Unknown	PDF	N/A
Smaller, more accurate regression forests using tree alternating optimization	Unknown	PDF	N/A
Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks	Unknown	PDF	N/A
All in the Exponential Family: Bregman Duality in Thermodynamic Variational Inference	Unknown	PDF	N/A
Explainable and Discourse Topic-aware Neural Language Understanding	Unknown	PDF	N/A
Stochastic Latent Residual Video Prediction	Unknown	PDF	N/A
NetGAN without GAN: From Random Walks to Low-Rank Approximations	Unknown	PDF	N/A
Extra-gradient with player sampling for faster convergence in n-player games	Unknown	PDF	N/A
Generalization via Derandomization	Unknown	PDF	N/A
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning	Unknown	PDF	N/A
Leveraging Frequency Analysis for Deep Fake Image Recognition	Unknown	PDF	N/A
Linear bandits with Stochastic Delayed Feedback	Unknown	PDF	N/A
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders	Unknown	PDF	N/A
WaveFlow: A Compact Flow-based Model for Raw Audio	Unknown	PDF	N/A
Self-supervised Label Augmentation via Input Transformations	Unknown	PDF	N/A
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space	Unknown	PDF	N/A
Interference and Generalization in Temporal Difference Learning	Unknown	PDF	N/A
Invariant Rationalization	Unknown	PDF	N/A
Accelerated Stochastic Gradient-free and Projection-free Methods	Unknown	PDF	N/A
Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation	Unknown	PDF	N/A
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems	Unknown	PDF	N/A
Robust Learning with the Hilbert-Schmidt Independence Criterion	Unknown	PDF	N/A
Can Stochastic Zeroth-Order Frank-Wolfe Method Converge Faster for Non-Convex Problems?	Unknown	PDF	N/A
Inexact Tensor Methods with Dynamic Accuracies	Unknown	PDF	N/A
Radioactive data: tracing through training	Unknown	PDF	N/A
Fast Adaptation to New Environments via Policy-Dynamics Value Functions	Unknown	PDF	N/A
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations	Unknown	PDF	N/A
Stochastically Dominant Distributional Reinforcement Learning	Unknown	PDF	N/A
Beyond Signal Propagation: Is Feature Diversity Necessary in Deep Neural Network Initialization?	Unknown	PDF	N/A
Optimal approximation for unconstrained non-submodular minimization	Unknown	PDF	N/A
Nonparametric Score Estimators	Unknown	PDF	N/A
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study	Unknown	PDF	N/A
Agent57: Outperforming the Atari Human Benchmark	Unknown	PDF	N/A
Monte-Carlo Tree Search as Regularized Policy Optimization	Unknown	PDF	N/A
On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes	Unknown	PDF	N/A
On Coresets for Regularized Regression	Unknown	PDF	N/A
On the Expressivity of Neural Networks for Deep Reinforcement Learning	Unknown	PDF	N/A
T-GD: Transferable GAN-generated Images Detection Framework	Unknown	PDF	N/A
Optimally Solving Two-Agent Decentralized POMDPs Under One-Sided Information Sharing	Unknown	PDF	N/A
How Good is the Bayes Posterior in Deep Neural Networks Really?	Unknown	PDF	N/A
Fast and Private Submodular and $k$-Submodular Functions Maximization with Matroid Constraints	Unknown	PDF	N/A
Learning Flat Latent Manifolds with VAEs	Unknown	PDF	N/A
Online Dense Subgraph Discovery via Blurred-Graph Feedback	Unknown	PDF	N/A
Linear Lower Bounds and Conditioning of Differentiable Games	Unknown	PDF	N/A
Refined bounds for algorithm configuration: The knife-edge of dual class approximability	Unknown	PDF	N/A
Optimal Randomized First-Order Methods for Least-Squares Problems	Unknown	PDF	N/A
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space	Unknown	PDF	N/A
Fiedler Regularization: Learning Neural Networks with Graph Sparsity	Unknown	PDF	N/A
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation	Unknown	PDF	N/A
Learning What to Defer for Maximum Independent Sets	Unknown	PDF	N/A
NGBoost: Natural Gradient Boosting for Probabilistic Prediction	Unknown	PDF	N/A
Perceptual Generative Autoencoders	Unknown	PDF	N/A
Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning	Unknown	PDF	N/A
Private Query Release Assisted by Public Data	Unknown	PDF	N/A
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies	Unknown	PDF	N/A
Randomized Smoothing of All Shapes and Sizes	Unknown	PDF	N/A
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation	Unknown	PDF	N/A
Searching to Exploit Memorization Effect in Learning with Noisy Labels	Unknown	PDF	N/A
Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data	Unknown	PDF	N/A
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition	Unknown	PDF	N/A
Asynchronous Coagent Networks	Unknown	PDF	N/A
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data	Unknown	PDF	N/A
Single Point Transductive Prediction	Unknown	PDF	N/A
Provable Self-Play Algorithms for Competitive Reinforcement Learning	Unknown	PDF	N/A
Lookahead-Bounded Q-learning	Unknown	PDF	N/A
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data	Unknown	PDF	N/A
Provable Representation Learning for Imitation Learning via Bi-level Optimization	Unknown	PDF	N/A
What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization?	Unknown	PDF	N/A
Bandits with Adversarial Scaling	Unknown	PDF	N/A
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation	Unknown	PDF	N/A
LEEP: A New Measure to Evaluate Transferability of Learned Representations	Unknown	PDF	N/A
Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach	Unknown	PDF	N/A
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms	Unknown	PDF	N/A
Low-Rank Bottleneck in Multi-head Attention Models	Unknown	PDF	N/A
Reward-Free Exploration for Reinforcement Learning	Unknown	PDF	N/A
Upper bounds for Model-Free Row-Sparse Principal Component Analysis	Unknown	PDF	N/A
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics	Unknown	PDF	N/A
Learning To Stop While Learning To Predict	Unknown	PDF	N/A
p-Norm Flow Diffusion for Local Graph Clustering	Unknown	PDF	N/A
Latent Bernoulli Autoencoder	Unknown	PDF	N/A
Data Valuation using Reinforcement Learning	Unknown	PDF	N/A
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks	Unknown	PDF	N/A
Disentangling Trainability and Generalization in Deep Neural Networks	Unknown	PDF	N/A
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning	Unknown	PDF	N/A
Which Tasks Should Be Learned Together in Multi-task Learning?	Unknown	PDF	N/A
Adversarial Risk via Optimal Transport and Optimal Couplings	Unknown	PDF	N/A
Boosting for Control of Dynamical Systems	Unknown	PDF	N/A
Lifted Disjoint Paths with Application in Multiple Object Tracking	Unknown	PDF	N/A
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination	Unknown	PDF	N/A
Decoupled Greedy Learning of CNNs	Unknown	PDF	N/A
Overfitting in adversarially robust deep learning	Unknown	PDF	N/A
Second-Order Provable Defenses against Adversarial Attacks	Unknown	PDF	N/A
Parameterized Rate-Distortion Stochastic Encoder	Unknown	PDF	N/A
MoNet3D: Towards Accurate Monocular 3D Object Localization in Real Time	Unknown	PDF	N/A
Learning Robot Skills with Temporal Variational Inference	Unknown	PDF	N/A
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models	Unknown	PDF	N/A
Revisiting Spatial Invariance with Low-Rank Local Connectivity	Unknown	PDF	N/A
Deep Reasoning Networks for Unsupervised Pattern De-mixing with Constraint Reasoning	Unknown	PDF	N/A
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound	Unknown	PDF	N/A
Generalized and Scalable Optimal Sparse Decision Trees	Unknown	PDF	N/A
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust	Unknown	PDF	N/A
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information	Unknown	PDF	N/A
Tensor denoising and completion based on ordinal observations	Unknown	PDF	N/A
Video Prediction via Example Guidance	Unknown	PDF	N/A
Efficient Continuous Pareto Exploration in Multi-Task Learning	Unknown	PDF	N/A
Efficient Policy Learning from Surrogate-Loss Classification Reductions	Unknown	PDF	N/A
Minimax Weight and Q-Function Learning for Off-Policy Evaluation	Unknown	PDF	N/A
On Efficient Low Distortion Ultrametric Embedding	Unknown	PDF	N/A
Data preprocessing to mitigate bias: A maximum entropy based approach	Unknown	PDF	N/A
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models	Unknown	PDF	N/A
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?	Unknown	PDF	N/A
Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase	Unknown	PDF	N/A
Streaming k-Submodular Maximization under Noise subject to Size Constraint	Unknown	PDF	N/A
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information	Unknown	PDF	N/A
Small Data, Big Decisions: Model Selection in the Small-Data Regime	Unknown	PDF	N/A
Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits	Unknown	PDF	N/A
An Accelerated DFO Algorithm for Finite-sum Convex Functions	Unknown	PDF	N/A
Finding trainable sparse networks through Neural Tangent Transfer	Unknown	PDF	N/A
Learning Quadratic Games on Networks	Unknown	PDF	N/A
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks	Unknown	PDF	N/A
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination	Unknown	PDF	N/A
On the Sample Complexity of Adversarial Multi-Source PAC Learning	Unknown	PDF	N/A
Super-efficiency of automatic differentiation for functions defined as a minimum	Unknown	PDF	N/A
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM	Unknown	PDF	N/A
Learning to Learn Kernels with Variational Random Features	Unknown	PDF	N/A
A distributional view on multi-objective policy optimization	Unknown	PDF	N/A
Learning Autoencoders with Relational Regularization	Unknown	PDF	N/A
Bayesian Sparsification of Deep C-valued Networks	Unknown	PDF	N/A
Neural Contextual Bandits with UCB-based Exploration	Unknown	PDF	N/A
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers	Unknown	PDF	N/A
Lorentz Group Equivariant Neural Network for Particle Physics	Unknown	PDF	N/A
Interpolation between Residual and Non-Residual Networks	Unknown	PDF	N/A
Collaborative Machine Learning with Incentive-Aware Model Rewards	Unknown	PDF	N/A
Forecasting Sequential Data Using Consistent Koopman Autoencoders	Unknown	PDF	N/A
The Performance Analysis of Generalized Margin Maximizers on Separable Data	Unknown	PDF	N/A
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models	Unknown	PDF	N/A
From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics	Unknown	PDF	N/A
Training Binary Neural Networks using the Bayesian Learning Rule	Unknown	PDF	N/A
Learning the piece-wise constant graph structure of a varying Ising model	Unknown	PDF	N/A
Efficiently Solving MDPs with Stochastic Mirror Descent	Unknown	PDF	N/A
Robust Graph Representation Learning via Neural Sparsification	Unknown	PDF	N/A
Handling the Positive-Definite Constraint in the Bayesian Learning Rule	Unknown	PDF	N/A
Interpretable, Multidimensional, Multimodal Anomaly Detection with Negative Sampling for Detection of Device Failure	Unknown	PDF	N/A
Optimal Bounds between f-Divergences and Integral Probability Metrics	Unknown	PDF	N/A
Likelihood-free MCMC with Amortized Approximate Ratio Estimators	Unknown	PDF	N/A
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation	Unknown	PDF	N/A
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing	Unknown	PDF	N/A
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values	Unknown	PDF	N/A
An Investigation of Why Overparameterization Exacerbates Spurious Correlations	Unknown	PDF	N/A
Double-Loop Unadjusted Langevin Algorithm	Unknown	PDF	N/A
Provable guarantees for decision tree induction: the agnostic setting	Unknown	PDF	N/A
Learning Optimal Tree Models under Beam Search	Unknown	PDF	N/A
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger	Unknown	PDF	N/A
Towards Adaptive Residual Network Training: A Neural-ODE Perspective	Unknown	PDF	N/A
Estimating Model Uncertainty of Neural Networks in Sparse Information Form	Unknown	PDF	N/A
Is Local SGD Better than Minibatch SGD?	Unknown	PDF	N/A
Estimating the Number and Effect Sizes of Non-null Hypotheses	Unknown	PDF	N/A
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks	Unknown	PDF	N/A
Scalable and Efficient Comparison-based Search without Features	Unknown	PDF	N/A
Identifying Statistical Bias in Dataset Replication	Unknown	PDF	N/A
On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm	Unknown	PDF	N/A
Learning and Sampling of Atomic Interventions from Observations	Unknown	PDF	N/A
Reliable Fidelity and Diversity Metrics for Generative Models	Unknown	PDF	N/A
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction	Unknown	PDF	N/A
Evolutionary Topology Search for Tensor Network Decomposition	Unknown	PDF	N/A
Randomization matters How to defend against strong adversarial attacks	Unknown	PDF	N/A
Reinforcement Learning for Non-Stationary Markov Decision Processes: The Blessing of (More) Optimism	Unknown	PDF	N/A
Bidirectional Model-based Policy Optimization	Unknown	PDF	N/A
Learning to Rank Learning Curves	Unknown	PDF	N/A
Understanding and Mitigating the Tradeoff between Robustness and Accuracy	Unknown	PDF	N/A
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling	Unknown	PDF	N/A
Non-autoregressive Machine Translation with Disentangled Context Transformer	Unknown	PDF	N/A
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations	Unknown	PDF	N/A
Error-Bounded Correction of Noisy Labels	Unknown	PDF	N/A
Population-Based Black-Box Optimization for Biological Sequence Design	Unknown	PDF	N/A
Improved Optimistic Algorithms for Logistic Bandits	Unknown	PDF	N/A
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning	Unknown	PDF	N/A
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension	Unknown	PDF	N/A
Boosted Histogram Transform for Regression	Unknown	PDF	N/A
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors	Unknown	PDF	N/A
Knowing The What But Not The Where in Bayesian Optimization	Unknown	PDF	N/A
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability	Unknown	PDF	N/A
Black-Box Methods for Restoring Monotonicity	Unknown	PDF	N/A
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization	Unknown	PDF	N/A
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning	Unknown	PDF	N/A
Adversarial Robustness via Runtime Masking and Cleansing	Unknown	PDF	N/A
Proving the Lottery Ticket Hypothesis: Pruning is All You Need	Unknown	PDF	N/A
Aggregation of Multiple Knockoffs	Unknown	PDF	N/A
Multi-objective Bayesian Optimization using Pareto-frontier Entropy	Unknown	PDF	N/A
On the Generalization Benefit of Noise in Stochastic Gradient Descent	Unknown	PDF	N/A
Optimization Theory for ReLU Neural Networks Trained with Normalization Layers	Unknown	PDF	N/A
Does label smoothing mitigate label noise?	Unknown	PDF	N/A
Variational Bayesian Quantization	Unknown	PDF	N/A
Non-Stationary Delayed Bandits with Intermediate Observations	Unknown	PDF	N/A
Evaluating Machine Accuracy on ImageNet	Unknown	PDF	N/A
Composable Sketches for Functions of Frequencies: Beyond the Worst Case	Unknown	PDF	N/A
The Implicit and Explicit Regularization Effects of Dropout	Unknown	PDF	N/A
Decision Trees for Decision-Making under the Predict-then-Optimize Framework	Unknown	PDF	N/A
Adaptive Estimator Selection for Off-Policy Evaluation	Unknown	PDF	N/A
Two Simple Ways to Learn Individual Fairness Metrics from Data	Unknown	PDF	N/A
Kernel Methods for Cooperative Multi-Agent Contextual Bandits	Unknown	PDF	N/A
On the Theoretical Properties of the Network Jackknife	Unknown	PDF	N/A
Bisection-Based Pricing for Repeated Contextual Auctions against Strategic Buyer	Unknown	PDF	N/A
Bayesian Graph Neural Networks with Adaptive Connection Sampling	Unknown	PDF	N/A
On Breaking Deep Generative Model-based Defenses and Beyond	Unknown	PDF	N/A
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles	Unknown	PDF	N/A
Representation Learning via Adversarially-Contrastive Optimal Transport	Unknown	PDF	N/A
Thompson Sampling via Local Uncertainty	Unknown	PDF	N/A
Meta Variance Transfer: Learning to Augment from the Others	Unknown	PDF	N/A
Abstraction Mechanisms Predict Generalization in Deep Neural Networks	Unknown	PDF	N/A
Coresets for Clustering in Graphs of Bounded Treewidth	Unknown	PDF	N/A
Learning the Valuations of a $k$-demand Agent	Unknown	PDF	N/A
Graph Homomorphism Convolution	Unknown	PDF	N/A
Bounding the fairness and accuracy of classifiers from population statistics	Unknown	PDF	N/A
Distribution Augmentation for Generative Modeling	Unknown	PDF	N/A
Revisiting Fundamentals of Experience Replay	Unknown	PDF	N/A
Haar Graph Pooling	Unknown	PDF	N/A
Nested Subspace Arrangement for Representation of Relational Data	Unknown	PDF	N/A
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks	Unknown	PDF	N/A
DINO: Distributed Newton-Type Optimization Method	Unknown	PDF	N/A
FedBoost: A Communication-Efficient Algorithm for Federated Learning	Unknown	PDF	N/A
Healing Products of Gaussian Process Experts	Unknown	PDF	N/A
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions	Unknown	PDF	N/A
Online Bayesian Moment Matching based SAT Solver Heuristics	Unknown	PDF	N/A
Robust and Stable Black Box Explanations	Unknown	PDF	N/A
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions	Unknown	PDF	N/A
Implicit Geometric Regularization for Learning Shapes	Unknown	PDF	N/A
On conditional versus marginal bias in multi-armed bandits	Unknown	PDF	N/A
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems	Unknown	PDF	N/A
Loss Function Search for Face Recognition	Unknown	PDF	N/A
Circuit-Based Intrinsic Methods to Detect Overfitting	Unknown	PDF	N/A
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback	Unknown	PDF	N/A
Implicit competitive regularization in GANs	Unknown	PDF	N/A
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model	Unknown	PDF	N/A
Inter-domain Deep Gaussian Processes	Unknown	PDF	N/A
Mapping natural-language problems to formal-language solutions using structured neural representations	Unknown	PDF	N/A
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients	Unknown	PDF	N/A
Source Separation with Deep Generative Priors	Unknown	PDF	N/A
Non-Autoregressive Neural Text-to-Speech	Unknown	PDF	N/A
DropNet: Reducing Neural Network Complexity via Iterative Pruning	Unknown	PDF	N/A
The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization	Unknown	PDF	N/A
Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time	Unknown	PDF	N/A
Black-box Certification and Learning under Adversarial Perturbations	Unknown	PDF	N/A
A Chance-Constrained Generative Framework for Sequence Optimization	Unknown	PDF	N/A
On the Number of Linear Regions of Convolutional Neural Networks	Unknown	PDF	N/A
Detecting Out-of-Distribution Examples with Gram Matrices	Unknown	PDF	N/A
When deep denoising meets iterative phase retrieval	Unknown	PDF	N/A
Predicting deliberative outcomes	Unknown	PDF	N/A
Contrastive Multi-View Representation Learning on Graphs	Unknown	PDF	N/A
On Variational Learning of Controllable Representations for Text without Supervision	Unknown	PDF	N/A
Optimistic Bounds for Multi-output Learning	Unknown	PDF	N/A
Multi-step Greedy Reinforcement Learning Algorithms	Unknown	PDF	N/A
Amortised Learning by Wake-Sleep	Unknown	PDF	N/A
Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures	Unknown	PDF	N/A
Online Learning for Active Cache Synchronization	Unknown	PDF	N/A
Time-aware Large Kernel Convolutions	Unknown	PDF	N/A
Strength from Weakness: Fast Learning Using Weak Supervision	Unknown	PDF	N/A
Gradient Temporal-Difference Learning with Regularized Corrections	Unknown	PDF	N/A
Deep Streaming Label Learning	Unknown	PDF	N/A
Learning to Branch for Multi-Task Learning	Unknown	PDF	N/A
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems	Unknown	PDF	N/A
NADS: Neural Architecture Distribution Search for Uncertainty Awareness	Unknown	PDF	N/A
Improving Transformer Optimization Through Better Initialization	Unknown	PDF	N/A
Learning and Evaluating Contextual Embedding of Source Code	Unknown	PDF	N/A
Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions	Unknown	PDF	N/A
Accountable Off-Policy Evaluation With Kernel Bellman Statistics	Unknown	PDF	N/A
Learning Mixtures of Graphs from Epidemic Cascades	Unknown	PDF	N/A
Do GANs always have Nash equilibria?	Unknown	PDF	N/A
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent	Unknown	PDF	N/A
Improving the Gating Mechanism of Recurrent Neural Networks	Unknown	PDF	N/A
Parameter-free, Dynamic, and Strongly-Adaptive Online Learning	Unknown	PDF	N/A
Hierarchical Verification for Adversarial Robustness	Unknown	PDF	N/A
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models	Unknown	PDF	N/A
BINOCULARS for efficient, nonmyopic sequential experimental design	Unknown	PDF	N/A
Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization	Unknown	PDF	N/A
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models	Unknown	PDF	N/A
Near-linear time Gaussian process optimization with adaptive batching and resparsification	Unknown	PDF	N/A
Learning with Bounded Instance- and Label-dependent Label Noise	Unknown	PDF	N/A
Temporal Phenotyping using Deep Predictive Clustering of Disease Progression	Unknown	PDF	N/A
How recurrent networks implement contextual processing in sentiment analysis	Unknown	PDF	N/A
Selective Dyna-style Planning Under Limited Model Capacity	Unknown	PDF	N/A
Zeno++: Robust Fully Asynchronous SGD	Unknown	PDF	N/A
Time-Consistent Self-Supervision for Semi-Supervised Learning	Unknown	PDF	N/A
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory	Unknown	PDF	N/A
Training Deep Energy-Based Models with f-Divergence Minimization	Unknown	PDF	N/A
On the consistency of top-k surrogate losses	Unknown	PDF	N/A
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning	Unknown	PDF	N/A
Representations for Stable Off-Policy Reinforcement Learning	Unknown	PDF	N/A
Transparency Promotion with Model-Agnostic Linear Competitors	Unknown	PDF	N/A
StochasticRank: Global Optimization of Scale-Free Discrete Functions	Unknown	PDF	N/A
Provable Smoothness Guarantees for Black-Box Variational Inference	Unknown	PDF	N/A
Boosting Deep Neural Network Efficiency with Dual-Module Inference	Unknown	PDF	N/A
Adversarial Attacks on Copyright Detection Systems	Unknown	PDF	N/A
Countering Language Drift with Seeded Iterated Learning	Unknown	PDF	N/A
Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation	Unknown	PDF	N/A
Latent Variable Modelling with Hyperbolic Normalizing Flows	Unknown	PDF	N/A
Mutual Transfer Learning for Massive Data	Unknown	PDF	N/A
A general recurrent state space framework for modeling neural dynamics during decision-making	Unknown	PDF	N/A
PackIt: A Virtual Environment for Geometric Planning	Unknown	PDF	N/A
Representing Unordered Data Using Complex-Weighted Multiset Automata	Unknown	PDF	N/A
The Differentiable Cross-Entropy Method	Unknown	PDF	N/A
Domain Adaptive Imitation Learning	Unknown	PDF	N/A
Generalization to New Actions in Reinforcement Learning	Unknown	PDF	N/A
Better depth-width trade-offs for neural networks through the lens of dynamical systems	Unknown	PDF	N/A
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization	Unknown	PDF	N/A
Convolutional Kernel Networks for Graph-Structured Data	Unknown	PDF	N/A
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling	Unknown	PDF	N/A
Bridging the Gap Between f-GANs and Wasserstein GANs	Unknown	PDF	N/A
Learning with Good Feature Representations in Bandits and in RL with a Generative Model	Unknown	PDF	N/A
Correlation Clustering with Asymmetric Classification Errors	Unknown	PDF	N/A
Learning Similarity Metrics for Numerical Simulations	Unknown	PDF	N/A
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation	Unknown	PDF	N/A
Sparsified Linear Programming for Zero-Sum Equilibrium Finding	Unknown	PDF	N/A
Aligned Cross Entropy for Non-Autoregressive Machine Translation	Unknown	PDF	N/A
Supervised Quantile Normalization for Low Rank Matrix Factorization	Unknown	PDF	N/A
Adversarial Nonnegative Matrix Factorization	Unknown	PDF	N/A
Multigrid Neural Memory	Unknown	PDF	N/A
Adaptive Sampling for Estimating Probability Distributions	Unknown	PDF	N/A
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings	Unknown	PDF	N/A
Tails of Lipschitz Triangular Flows	Unknown	PDF	N/A
Inductive Relation Prediction by Subgraph Reasoning	Unknown	PDF	N/A
Thompson Sampling Algorithms for Mean-Variance Bandits	Unknown	PDF	N/A
Operation-Aware Soft Channel Pruning using Differentiable Masks	Unknown	PDF	N/A
Boosting Frank-Wolfe by Chasing Gradients	Unknown	PDF	N/A
Stochastic Regret Minimization in Extensive-Form Games	Unknown	PDF	N/A
On hyperparameter tuning in general clustering problemsm	Unknown	PDF	N/A
Simultaneous Inference for Massive Data: Distributed Bootstrap	Unknown	PDF	N/A
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch	Unknown	PDF	N/A
Continuous Time Bayesian Networks with Clocks	Unknown	PDF	N/A
T-Basis: a Compact Representation for Neural Networks	Unknown	PDF	N/A
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks	Unknown	PDF	N/A
Evaluating Lossy Compression Rates of Deep Generative Models	Unknown	PDF	N/A
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization	Unknown	PDF	N/A
Extreme Multi-label Classification from Aggregated Labels	Unknown	PDF	N/A
Familywise Error Rate Control by Interactive Unmasking	Unknown	PDF	N/A
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning	Unknown	PDF	N/A
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks	Unknown	PDF	N/A
CoMic: Complementary Task Learning & Mimicry for Reusable Skills	Unknown	PDF	N/A
Implicit differentiation of Lasso-type models for hyperparameter optimization	Unknown	PDF	N/A
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning	Unknown	PDF	N/A
On Efficient Constructions of Checkpoints	Unknown	PDF	N/A
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization	Unknown	PDF	N/A
Self-Modulating Nonparametric Event-Tensor Factorization	Unknown	PDF	N/A
Bio-Inspired Hashing for Unsupervised Similarity Search	Unknown	PDF	N/A
Full Law Identification in Graphical Models of Missing Data: Completeness Results	Unknown	PDF	N/A
Self-Attentive Associative Memory	Unknown	PDF	N/A
Hallucinative Topological Memory for Zero-Shot Visual Planning	Unknown	PDF	N/A
MetaFun: Meta-Learning with Iterative Functional Updates	Unknown	PDF	N/A
Improving Generative Imagination in Object-Centric World Models	Unknown	PDF	N/A
Sequential Transfer in Reinforcement Learning with a Generative Model	Unknown	PDF	N/A
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing	Unknown	PDF	N/A
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent	Unknown	PDF	N/A
Feature Quantization Improves GAN Training	Unknown	PDF	N/A
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization	Unknown	PDF	N/A
Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates	Unknown	PDF	N/A
Temporal Logic Point Processes	Unknown	PDF	N/A
Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions	Unknown	PDF	N/A
Optimizing Data Usage via Differentiable Rewards	Unknown	PDF	N/A
Finite-Time Convergence in Continuous-Time Optimization	Unknown	PDF	N/A
Estimation of Bounds on Potential Outcomes For Decision Making	Unknown	PDF	N/A
Undirected Graphical Models as Approximate Posteriors	Unknown	PDF	N/A
Deep Gaussian Markov Random Fields	Unknown	PDF	N/A
Adaptive Reward-Poisoning Attacks against Reinforcement Learning	Unknown	PDF	N/A
Adversarial Neural Pruning with Latent Vulnerability Suppression	Unknown	PDF	N/A
Online Control of the False Coverage Rate and False Sign Rate	Unknown	PDF	N/A
Stronger and Faster Wasserstein Adversarial Attacks	Unknown	PDF	N/A
Dynamics of Deep Neural Networks and Neural Tangent Hierarchy	Unknown	PDF	N/A
Planning to Explore via Self-Supervised World Models	Unknown	PDF	N/A
Measuring Non-Expert Comprehension of Machine Learning Fairness Metrics	Unknown	PDF	N/A
Multinomial Logit Bandit with Low Switching Cost	Unknown	PDF	N/A
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels	Unknown	PDF	N/A
Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics	Unknown	PDF	N/A
Defense Through Diverse Directions	Unknown	PDF	N/A
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks	Unknown	PDF	N/A
Neural Architecture Search in A Proxy Validation Loss Landscape	Unknown	PDF	N/A
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks	Unknown	PDF	N/A
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations	Unknown	PDF	N/A
One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control	Unknown	PDF	N/A
Sparse Sinkhorn Attention	Unknown	PDF	N/A
Feature Noise Induces Loss Discrepancy Across Groups	Unknown	PDF	N/A
Oracle Efficient Private Non-Convex Optimization	Unknown	PDF	N/A
Rigging the Lottery: Making All Tickets Winners	Unknown	PDF	N/A
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation	Unknown	PDF	N/A
Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks	Unknown	PDF	N/A
Improving Molecular Design by Stochastic Iterative Target Augmentation	Unknown	PDF	N/A
FetchSGD: Communication-Efficient Federated Learning with Sketching	Unknown	PDF	N/A
Two Routes to Scalable Credit Assignment without Weight Symmetry	Unknown	PDF	N/A
A Pairwise Fair and Community-preserving Approach to k-Center Clustering	Unknown	PDF	N/A
Identifying the Reward Function by Anchor Actions	Unknown	PDF	N/A
Probing Emergent Semantics in Predictive Agents via Question Answering	Unknown	PDF	N/A
Conditional gradient methods for stochastically constrained convex minimization	Unknown	PDF	N/A
Infinite attention: NNGP and NTK for deep attention networks	Unknown	PDF	N/A
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction	Unknown	PDF	N/A
ControlVAE: Controllable Variational Autoencoder	Unknown	PDF	N/A
Accelerated Message Passing for Entropy-Regularized MAP Inference	Unknown	PDF	N/A
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data	Unknown	PDF	N/A
Leveraging Procedural Generation to Benchmark Reinforcement Learning	Unknown	PDF	N/A
Up or Down? Adaptive Rounding for Post-Training Quantization	Unknown	PDF	N/A
Meta-learning for Mixed Linear Regression	Unknown	PDF	N/A
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning	Unknown	PDF	N/A
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference	Unknown	PDF	N/A
Individual Fairness for k-Clustering	Unknown	PDF	N/A
Predictive Multiplicity in Classification	Unknown	PDF	N/A
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation	Unknown	PDF	N/A
Neuro-Symbolic Visual Reasoning: Disentangling "Visual" from "Reasoning"	Unknown	PDF	N/A
Supervised learning: no loss no cry	Unknown	PDF	N/A
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks	Unknown	PDF	N/A
From Local SGD to Local Fixed-Point Methods for Federated Learning	Unknown	PDF	N/A
A Simple Framework for Contrastive Learning of Visual Representations	Unknown	PDF	N/A
Spectral Subsampling MCMC for Stationary Time Series	Unknown	PDF	N/A
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks	Unknown	PDF	N/A
Learning with Feature and Distribution Evolvable Streams	Unknown	PDF	N/A
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes	Unknown	PDF	N/A
Angular Visual Hardness	Unknown	PDF	N/A
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics	Unknown	PDF	N/A
Reducing Sampling Error in Batch Temporal Difference Learning	Unknown	PDF	N/A
“Other-Play” for Zero-Shot Coordination	Unknown	PDF	N/A
Efficiently Learning Adversarially Robust Halfspaces with Noise	Unknown	PDF	N/A
Progressive Identification of True Labels for Partial-Label Learning	Unknown	PDF	N/A
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors	Unknown	PDF	N/A
An Optimistic Perspective on Offline Deep Reinforcement Learning	Unknown	PDF	N/A
Word-Level Speech Recognition With a Letter to Word Encoder	Unknown	PDF	N/A
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence	Unknown	PDF	N/A
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion	Unknown	PDF	N/A
Multi-Agent Routing Value Iteration Network	Unknown	PDF	N/A
Inferring DQN structure for high-dimensional continuous control	Unknown	PDF	N/A
Distributed Online Optimization over a Heterogeneous Network	Unknown	PDF	N/A
Fair Learning with Private Demographic Data	Unknown	PDF	N/A
Predictive Sampling with Forecasting Autoregressive Models	Unknown	PDF	N/A
On Learning Sets of Symmetric Elements	Unknown	PDF	N/A
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths	Unknown	PDF	N/A
Differentiable Product Quantization for End-to-End Embedding Compression	Unknown	PDF	N/A
Doubly robust off-policy evaluation with shrinkage	Unknown	PDF	N/A
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules	Unknown	PDF	N/A
Description Based Text Classification with Reinforcement Learning	Unknown	PDF	N/A
Meta-Learning with Shared Amortized Variational Inference	Unknown	PDF	N/A
Neural Clustering Processes	Unknown	PDF	N/A
Growing Action Spaces	Unknown	PDF	N/A
On a projective ensemble approach to two sample test for equality of distributions	Unknown	PDF	N/A
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach	Unknown	PDF	N/A
Adding seemingly uninformative labels helps in low data regimes	Unknown	PDF	N/A
Low-loss connection of weight vectors: distribution-based approaches	Unknown	PDF	N/A
Optimal Differential Privacy Composition for Exponential Mechanisms	Unknown	PDF	N/A
A Flexible Latent Space Model for Multilayer Networks	Unknown	PDF	N/A
Gradient-free Online Learning in Continuous Games with Delayed Rewards	Unknown	PDF	N/A
Working Memory Graphs	Unknown	PDF	N/A
Bayesian Optimisation over Multiple Continuous and Categorical Inputs	Unknown	PDF	N/A
A Generative Model for Molecular Distance Geometry	Unknown	PDF	N/A
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources	Unknown	PDF	N/A
Interpreting Robust Optimization via Adversarial Influence Functions	Unknown	PDF	N/A
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems	Unknown	PDF	N/A
Towards Understanding the Dynamics of the First-Order Adversaries	Unknown	PDF	N/A
An Imitation Learning Approach for Cache Replacement	Unknown	PDF	N/A
Option Discovery in the Absence of Rewards with Manifold Analysis	Unknown	PDF	N/A
Learning Selection Strategies in Buchberger’s Algorithm	Unknown	PDF	N/A
Adversarial Robustness Against the Union of Multiple Perturbation Models	Unknown	PDF	N/A
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate	Unknown	PDF	N/A
(Locally) Differentially Private Combinatorial Semi-Bandits	Unknown	PDF	N/A
A Game Theoretic Framework for Model Based Reinforcement Learning	Unknown	PDF	N/A
Streaming Coresets for Symmetric Tensor Factorization	Unknown	PDF	N/A
Batch Stationary Distribution Estimation	Unknown	PDF	N/A
The FAST Algorithm for Submodular Maximization	Unknown	PDF	N/A
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning	Unknown	PDF	N/A
Stochastic Optimization for Non-convex Inf-Projection Problems	Unknown	PDF	N/A
Retrieval Augmented Language Model Pre-Training	Unknown	PDF	N/A
When Does Self-Supervision Help Graph Convolutional Networks?	Unknown	PDF	N/A
A Tree-Structured Decoder for Image-to-Markup Generation	Unknown	PDF	N/A
Neural Network Control Policy Verification With Persistent Adversarial Perturbation	Unknown	PDF	N/A
Normalized Loss Functions for Deep Learning with Noisy Labels	Unknown	PDF	N/A
k-means++: few more steps yield constant approximation	Unknown	PDF	N/A
Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix	Unknown	PDF	N/A
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets	Unknown	PDF	N/A
Stochastic Subspace Cubic Newton Method	Unknown	PDF	N/A
Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances	Unknown	PDF	N/A
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training	Unknown	PDF	N/A
Variational Inference for Sequential Data with Future Likelihood Estimates	Unknown	PDF	N/A
On the Noisy Gradient Descent that Generalizes as SGD	Unknown	PDF	N/A
Sub-Goal Trees -- a Framework for Goal-Based Reinforcement Learning	Unknown	PDF	N/A
On Contrastive Learning for Likelihood-free Inference	Unknown	PDF	N/A
Variational Autoencoders with Riemannian Brownian Motion Priors	Unknown	PDF	N/A
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery	Unknown	PDF	N/A
How to Solve Fair k-Center in Massive Data Models	Unknown	PDF	N/A
Batch Reinforcement Learning with Hyperparameter Gradients	Unknown	PDF	N/A
A Geometric Approach to Archetypal Analysis via Sparse Projections	Unknown	PDF	N/A
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising	Unknown	PDF	N/A
Sets Clustering	Unknown	PDF	N/A
Data-Efficient Image Recognition with Contrastive Predictive Coding	Unknown	PDF	N/A
Online Convex Optimization in the Random Order Model	Unknown	PDF	N/A
Normalizing Flows on Tori and Spheres	Unknown	PDF	N/A
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health	Unknown	PDF	N/A
Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks	Unknown	PDF	N/A
Fairwashing explanations with off-manifold detergent	Unknown	PDF	N/A
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models	Unknown	PDF	N/A
Implicit Generative Modeling for Efficient Exploration	Unknown	PDF	N/A
Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation	Unknown	PDF	N/A
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows	Unknown	PDF	N/A
Streaming Submodular Maximization under a k-Set System Constraint	Unknown	PDF	N/A
Naive Exploration is Optimal for Online LQR	Unknown	PDF	N/A
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks	Unknown	PDF	N/A
The Cost-free Nature of Optimally Tuning Tikhonov Regularizers and Other Ordered Smoothers	Unknown	PDF	N/A
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters	Unknown	PDF	N/A
The Boomerang Sampler	Unknown	PDF	N/A
Weakly-Supervised Disentanglement Without Compromises	Unknown	PDF	N/A
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments	Unknown	PDF	N/A
Goodness-of-Fit Tests for Inhomogeneous Random Graphs	Unknown	PDF	N/A
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks	Unknown	PDF	N/A
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification	Unknown	PDF	N/A
Safe Reinforcement Learning in Constrained Markov Decision Processes	Unknown	PDF	N/A
Reinforcement Learning for Integer Programming: Learning to Cut	Unknown	PDF	N/A
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning	Unknown	PDF	N/A
Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods	Unknown	PDF	N/A
Online Multi-Kernel Learning with Graph-Structured Feedback	Unknown	PDF	N/A
A Swiss Army Knife for Minimax Optimal Transport	Unknown	PDF	N/A
Deep Reinforcement Learning with Smooth Policy	Unknown	PDF	N/A
Tightening Exploration in Upper Confidence Reinforcement Learning	Unknown	PDF	N/A
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits	Unknown	PDF	N/A
Fast computation of Nash Equilibria in Imperfect Information Games	Unknown	PDF	N/A
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks	Unknown	PDF	N/A
Learning disconnected manifolds: a no GAN's land	Unknown	PDF	N/A
Low Bias Low Variance Gradient Estimates for Hierarchical Boolean Stochastic Networks	Unknown	PDF	N/A
Optimizing for the Future in Non-Stationary MDPs	Unknown	PDF	N/A
Explainable k-Means and k-Medians Clustering	Unknown	PDF	N/A
Goal-Aware Prediction: Learning to Model What Matters	Unknown	PDF	N/A
Laplacian Regularized Few-Shot Learning	Unknown	PDF	N/A
Learning Compound Tasks without Task-specific Knowledge via Imitation and Self-supervised Learning	Unknown	PDF	N/A
What can I do here? A Theory of Affordances in Reinforcement Learning	Unknown	PDF	N/A
Automatic Shortcut Removal for Self-Supervised Representation Learning	Unknown	PDF	N/A
Simple and sharp analysis of k-means			Unknown
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification	Unknown	PDF	N/A
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs	Unknown	PDF	N/A
Discriminative Adversarial Search for Abstractive Summarization	Unknown	PDF	N/A
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis	Unknown	PDF	N/A
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness	Unknown	PDF	N/A
On the Power of Compressed Sensing with Generative Models	Unknown	PDF	N/A
Optimal Sequential Maximization: One Interview is Enough!	Unknown	PDF	N/A
Invariant Causal Prediction for Block MDPs	Unknown	PDF	N/A
Efficiently sampling functions from Gaussian process posteriors	Unknown	PDF	N/A
On Second-Order Group Influence Functions for Black-Box Predictions	Unknown	PDF	N/A
Randomly Projected Additive Gaussian Processes for Regression	Unknown	PDF	N/A
Involutive MCMC: a Unifying Framework	Unknown	PDF	N/A
Fair k-Centers via Maximum Matching	Unknown	PDF	N/A
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences	Unknown	PDF	N/A
Missing Data Imputation using Optimal Transport	Unknown	PDF	N/A
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case	Unknown	PDF	N/A
Online Continual Learning from Imbalanced Data	Unknown	PDF	N/A
AdaScale SGD: A User-Friendly Algorithm for Distributed Training	Unknown	PDF	N/A
Automated Synthetic-to-Real Generalization	Unknown	PDF	N/A
Structure Adaptive Algorithms for Stochastic Bandits	Unknown	PDF	N/A
Uncertainty Estimation Using a Single Deep Deterministic Neural Network	Unknown	PDF	N/A
Partial Trace Regression and Low-Rank Kraus Decomposition	Unknown	PDF	N/A
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation	Unknown	PDF	N/A
Extrapolation for Large-batch Training in Deep Learning	Unknown	PDF	N/A
Preselection Bandits	Unknown	PDF	N/A
Provably Efficient Model-based Policy Adaptation	Unknown	PDF	N/A
Causal Inference using Gaussian Processes with Structured Latent Confounders	Unknown	PDF	N/A
Robustifying Sequential Neural Processes	Unknown	PDF	N/A
Optimizing Dynamic Structures with Bayesian Generative Search	Unknown	PDF	N/A
Problems with Shapley-value-based explanations as feature importance measures	Unknown	PDF	N/A
Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning	Unknown	PDF	N/A
No-Regret and Incentive-Compatible Online Learning	Unknown	PDF	N/A
Gamification of Pure Exploration for Linear Bandits	Unknown	PDF	N/A
Sparse Gaussian Processes with Spherical Harmonic Features	Unknown	PDF	N/A
Stochastic Optimization for Regularized Wasserstein Estimators	Unknown	PDF	N/A
Differentially Private Set Union	Unknown	PDF	N/A
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling	Unknown	PDF	N/A
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates	Unknown	PDF	N/A
Non-separable Non-stationary random fields	Unknown	PDF	N/A
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup	Unknown	PDF	N/A
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders	Unknown	PDF	N/A
Ordinal Non-negative Matrix Factorization for Recommendation	Unknown	PDF	N/A
Generalization Error of Generalized Linear Models in High Dimensions	Unknown	PDF	N/A
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks	Unknown	PDF	N/A
Logarithmic Regret for Adversarial Online Control	Unknown	PDF	N/A
Causal Modeling for Fairness In Dynamical Systems	Unknown	PDF	N/A
Quantum Boosting	Unknown	PDF	N/A
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning	Unknown	PDF	N/A
The Tree Ensemble Layer: Differentiability meets Conditional Computation	Unknown	PDF	N/A
ACFlow: Flow Models for Arbitrary Conditional Likelihoods	Unknown	PDF	N/A
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models	Unknown	PDF	N/A
Combinatorial Pure Exploration for Dueling Bandit	Unknown	PDF	N/A
Error Estimation for Sketched SVD via the Bootstrap	Unknown	PDF	N/A
Generalization and Representational Limits of Graph Neural Networks	Unknown	PDF	N/A
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions	Unknown	PDF	N/A
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention	Unknown	PDF	N/A
Deep Isometric Learning for Visual Recognition	Unknown	PDF	N/A
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift	Unknown	PDF	N/A
Dual Mirror Descent for Online Allocation Problems	Unknown	PDF	N/A
Model-free Reinforcement Learning in Infinite-horizon Average-reward Markov Decision Processes	Unknown	PDF	N/A
Preference Modeling with Context-Dependent Salient Features	Unknown	PDF	N/A
Efficient Non-conjugate Gaussian Process Factor Models for Spike Count Data using Polynomial Approximations	Unknown	PDF	N/A
Growing Adaptive Multi-hyperplane Machines	Unknown	PDF	N/A
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks	Unknown	PDF	N/A
On Semi-parametric Inference for BART	Unknown	PDF	N/A
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr	Unknown	PDF	N/A
Optimization from Structured Samples for Coverage Functions	Unknown	PDF	N/A
Online Learning with Imperfect Hints	Unknown	PDF	N/A
Alleviating Privacy Attacks via Causal Learning	Unknown	PDF	N/A
Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets	Unknown	PDF	N/A
The Effect of Natural Distribution Shift on Question Answering Models	Unknown	PDF	N/A
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis	Unknown	PDF	N/A
Feature Selection using Stochastic Gates	Unknown	PDF	N/A
Information-Theoretic Local Minima Characterization and Regularization	Unknown	PDF	N/A
Online Learned Continual Compression with Adaptive Quantization Modules	Unknown	PDF	N/A
Semi-Supervised Learning with Normalizing Flows	Unknown	PDF	N/A
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos	Unknown	PDF	N/A
Educating Text Autoencoders: Latent Representation Guidance via Denoising	Unknown	PDF	N/A
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization	Unknown	PDF	N/A
Constant Curvature Graph Convolutional Networks	Unknown	PDF	N/A
Kernel interpolation with continuous volume sampling	Unknown	PDF	N/A
IPBoost – Non-Convex Boosting via Integer Programming	Unknown	PDF	N/A
Adaptive Gradient Descent without Descent	Unknown	PDF	N/A
Concise Explanations of Neural Networks using Adversarial Training	Unknown	PDF	N/A
Federated Learning with Only Positive Labels	Unknown	PDF	N/A
The continuous categorical: a novel simplex-valued exponential family	Unknown	PDF	N/A
PENNI: Pruned Kernel Sharing for Efficient CNN Inference	Unknown	PDF	N/A
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates	Unknown	PDF	N/A
Efficient Intervention Design for Causal Discovery with Latents	Unknown	PDF	N/A
Online Learning with Dependent Stochastic Feedback Graphs	Unknown	PDF	N/A
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions	Unknown	PDF	N/A
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games	Unknown	PDF	N/A
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition	Unknown	PDF	N/A
Maximum-and-Concatenation Networks	Unknown	PDF	N/A
Optimistic Policy Optimization with Bandit Feedback	Unknown	PDF	N/A
Moniqua: Modulo Quantized Communication in Decentralized SGD	Unknown	PDF	N/A
Why Are Learned Indexes So Effective?	Unknown	PDF	N/A
Learning Human Objectives by Evaluating Hypothetical Behavior	Unknown	PDF	N/A
The Shapley Taylor Interaction Index	Unknown	PDF	N/A
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts	Unknown	PDF	N/A
SGD Learns One-Layer Networks in WGANs	Unknown	PDF	N/A
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning	Unknown	PDF	N/A
Faster Graph Embeddings via Coarsening	Unknown	PDF	N/A
CURL: Contrastive Unsupervised Representations for Reinforcement Learning	Unknown	PDF	N/A
Generative Pretraining From Pixels	Unknown	PDF	N/A
Retro: Learning Retrosynthetic Planning with Neural Guided A Search	Unknown	PDF	N/A
Amortized Population Gibbs Samplers with Neural Sufficient Statistics	Unknown	PDF	N/A
What Can Learned Intrinsic Rewards Capture?	Unknown	PDF	N/A
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards	Unknown	PDF	N/A
Set Functions for Time Series	Unknown	PDF	N/A
Variational Imitation Learning with Diverse-quality Demonstrations	Unknown	PDF	N/A
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture	Unknown	PDF	N/A
A quantile-based approach for hyperparameter transfer learning	Unknown	PDF	N/A
DeepCoDA: personalized interpretability for compositional health data	Unknown	PDF	N/A
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer	Unknown	PDF	N/A
No-Regret Exploration in Goal-Oriented Reinforcement Learning	Unknown	PDF	N/A
Unsupervised Speech Decomposition via Triple Information Bottleneck	Unknown	PDF	N/A
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation	Unknown	PDF	N/A
Fast Differentiable Sorting and Ranking	Unknown	PDF	N/A
Implicit Regularization of Random Feature Models	Unknown	PDF	N/A
Continuous Graph Neural Networks	Unknown	PDF	N/A
Consistent Estimators for Learning to Defer to an Expert	Unknown	PDF	N/A
A Graph to Graphs Framework for Retrosynthesis Prediction	Unknown	PDF	N/A
Learning Calibratable Policies using Programmatic Style-Consistency	Unknown	PDF	N/A
Distance Metric Learning with Joint Representation Diversification	Unknown	PDF	N/A
Near-optimal Regret Bounds for Stochastic Shortest Path	Unknown	PDF	N/A
ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications	Unknown	PDF	N/A
Model-Based Reinforcement Learning with Value-Targeted Regression	Unknown	PDF	N/A
A Sequential Self Teaching Approach for Improving Generalization in Sound Event Recognition	Unknown	PDF	N/A
On the Global Convergence Rates of Softmax Policy Gradient Methods	Unknown	PDF	N/A
Learnable Group Transform For Time-Series	Unknown	PDF	N/A
Fair Generative Modeling via Weak Supervision	Unknown	PDF	N/A
Obtaining Adjustable Regularization for Free via Iterate Averaging	Unknown	PDF	N/A
Invariant Risk Minimization Games	Unknown	PDF	N/A
Linear Mode Connectivity and the Lottery Ticket Hypothesis	Unknown	PDF	N/A
Input-Sparsity Low Rank Approximation in Schatten Norm	Unknown	PDF	N/A
Convolutional dictionary learning based auto-encoders for natural exponential-family distributions	Unknown	PDF	N/A
Optimal transport mapping via input convex neural networks	Unknown	PDF	N/A
Visual Grounding of Learned Physical Models	Unknown	PDF	N/A
GraphOpt: Learning Optimization Models of Graph Formation	Unknown	PDF	N/A
An EM Approach to Non-autoregressive Conditional Sequence Generation	Unknown	PDF	N/A
Training Neural Networks for and by Interpolation	Unknown	PDF	N/A
On the Iteration Complexity of Hypergradient Computation	Unknown	PDF	N/A
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning	Unknown	PDF	N/A
InstaHide: Instance-hiding Schemes for Private Distributed Learning	Unknown	PDF	N/A
Variance Reduction in Stochastic Particle-Optimization Sampling	Unknown	PDF	N/A
The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons	Unknown	PDF	N/A
Efficient Domain Generalization via Common-Specific Low-Rank Decomposition	Unknown	PDF	N/A
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network	Unknown	PDF	N/A
Born-again Tree Ensembles	Unknown	PDF	N/A
Learning to Simulate Complex Physics with Graph Networks	Unknown	PDF	N/A
Learning to Simulate and Design for Structural Engineering	Unknown	PDF	N/A
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere	Unknown	PDF	N/A
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More	Unknown	PDF	N/A
Towards a General Theory of Infinite-Width Limits of Neural Classifiers	Unknown	PDF	N/A
PolyGen: An Autoregressive Generative Model of 3D Meshes	Unknown	PDF	N/A
Multiclass Neural Network Minimization via Tropical Newton Polytope Approximation	Unknown	PDF	N/A
Structured Prediction with Partial Labelling through the Infimum Loss	Unknown	PDF	N/A
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning	Unknown	PDF	N/A
Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation	Unknown	PDF	N/A
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics	Unknown	PDF	N/A
Constructive Universal High-Dimensional Distribution Generation through Deep ReLU Networks	Unknown	PDF	N/A
Regularized Optimal Transport is Ground Cost Adversarial	Unknown	PDF	N/A
On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent	Unknown	PDF	N/A
Hierarchically Decoupled Imitation For Morphological Transfer	Unknown	PDF	N/A
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack	Unknown	PDF	N/A
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities	Unknown	PDF	N/A
The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application	Unknown	PDF	N/A
Causal Strategic Linear Regression	Unknown	PDF	N/A
Online metric algorithms with untrusted predictions	Unknown	PDF	N/A
Piecewise Linear Regression via a Difference of Convex Functions	Unknown	PDF	N/A
Robustness to Spurious Correlations via Human Annotations	Unknown	PDF	N/A
On Learning Language-Invariant Representations for Universal Machine Translation	Unknown	PDF	N/A
A simpler approach to accelerated optimization: iterative averaging meets optimism	Unknown	PDF	N/A
Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data	Unknown	PDF	N/A
Neural Topic Modeling with Continual Lifelong Learning	Unknown	PDF	N/A
On Lp-norm Robustness of Ensemble Decision Stumps and Trees	Unknown	PDF	N/A
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False	Unknown	PDF	N/A
High-dimensional Robust Mean Estimation via Gradient Descent	Unknown	PDF	N/A
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations	Unknown	PDF	N/A
On Implicit Regularization in $\beta$-VAEs	Unknown	PDF	N/A
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality	Unknown	PDF	N/A
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model	Unknown	PDF	N/A
Concept Bottleneck Models	Unknown	PDF	N/A
FACT: A Diagnostic for Group Fairness Trade-offs	Unknown	PDF	N/A
Data Amplification: Instance-Optimal Property Estimation	Unknown	PDF	N/A
Stochastic Hamiltonian Gradient Methods for Smooth Games	Unknown	PDF	N/A
DROCC: Deep Robust One-Class Classification	Unknown	PDF	N/A
Predictive Coding for Locally-Linear Control	Unknown	PDF	N/A
Understanding Self-Training for Gradual Domain Adaptation	Unknown	PDF	N/A
Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance	Unknown	PDF	N/A
Do We Need Zero Training Loss After Achieving Zero Training Error?	Unknown	PDF	N/A
On Thompson Sampling with Langevin Algorithms	Unknown	PDF	N/A
Strategic Classification is Causal Modeling in Disguise	Unknown	PDF	N/A
Decentralised Learning with Random Features and Distributed Gradient Descent	Unknown	PDF	N/A
Topic Modeling via Full Dependence Mixtures	Unknown	PDF	N/A
Transformer Hawkes Process	Unknown	PDF	N/A
Adversarial Mutual Information for Text Generation	Unknown	PDF	N/A
Optimal Estimator for Unlabeled Linear Regression	Unknown	PDF	N/A
Learning Near Optimal Policies with Low Inherent Bellman Error	Unknown	PDF	N/A
Margin-aware Adversarial Domain Adaptation with Optimal Transport	Unknown	PDF	N/A
Message Passing Least Squares Framework and its Application to Rotation Synchronization	Unknown	PDF	N/A
Improving Robustness of Deep-Learning-Based Image Reconstruction	Unknown	PDF	N/A
Domain Aggregation Networks for Multi-Source Domain Adaptation	Unknown	PDF	N/A
Recurrent Hierarchical Topic-Guided RNN for Language Generation	Unknown	PDF	N/A
Closing the convergence gap of SGD without replacement	Unknown	PDF	N/A
Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning	Unknown	PDF	N/A
Emergence of Separable Manifolds in Deep Language Representations	Unknown	PDF	N/A
Recovery of Sparse Signals from a Mixture of Linear Samples	Unknown	PDF	N/A
Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript	Unknown	PDF	N/A
Flexible and Efficient Long-Range Planning Through Curious Exploration	Unknown	PDF	N/A
Private Outsourced Bayesian Optimization	Unknown	PDF	N/A
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding	Unknown	PDF	N/A
Orthogonalized SGD and Nested Architectures for Anytime Neural Networks	Unknown	PDF	N/A
Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions	Unknown	PDF	N/A
Improved Communication Cost in Distributed PageRank Computation – A Theoretical Study	Unknown	PDF	N/A
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems	Unknown	PDF	N/A
On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings	Unknown	PDF	N/A
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs	Unknown	PDF	N/A
A Distributional Framework For Data Valuation	Unknown	PDF	N/A
Customizing ML Predictions for Online Algorithms	Unknown	PDF	N/A
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization	Unknown	PDF	N/A
Individual Calibration with Randomized Forecasting	Unknown	PDF	N/A
Bayesian Differential Privacy for Machine Learning	Unknown	PDF	N/A
Logistic Regression for Massive Data with Rare Events	Unknown	PDF	N/A
Meta-learning with Stochastic Linear Bandits	Unknown	PDF	N/A
Parallel Algorithm for Non-Monotone DR-Submodular Maximization	Unknown	PDF	N/A
Deep Divergence Learning	Unknown	PDF	N/A
TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics	Unknown	PDF	N/A
A new regret analysis for Adam-type algorithms	Unknown	PDF	N/A
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs	Unknown	PDF	N/A
Adversarial Robustness for Code	Unknown	PDF	N/A
Curvature-corrected learning dynamics in deep neural networks	Unknown	PDF	N/A
Attentive Group Equivariant Convolutional Networks	Unknown	PDF	N/A
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation	Unknown	PDF	N/A
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization	Unknown	PDF	N/A
Causal Effect Identifiability under Partial-Observability	Unknown	PDF	N/A
Scalable Exact Inference in Multi-Output Gaussian Processes	Unknown	PDF	N/A
Topologically Densified Distributions	Unknown	PDF	N/A
Graph Filtration Learning	Unknown	PDF	N/A
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location	Unknown	PDF	N/A
Scalable Differential Privacy with Certified Robustness in Adversarial Learning	Unknown	PDF	N/A
A Free-Energy Principle for Representation Learning	Unknown	PDF	N/A
Generalisation error in learning with random features and the hidden manifold model	Unknown	PDF	N/A
Why bigger is not always better: on finite and infinite neural networks	Unknown	PDF	N/A
Budgeted Online Influence Maximization	Unknown	PDF	N/A
Being Bayesian about Categorical Probability	Unknown	PDF	N/A
Structured Policy Iteration for Linear Quadratic Regulator	Unknown	PDF	N/A
Intrinsic Reward Driven Imitation Learning via Generative Model	Unknown	PDF	N/A
Manifold Identification for Ultimately Communication-Efficient Distributed Optimization	Unknown	PDF	N/A
When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment	Unknown	PDF	N/A
Communication-Efficient Distributed PCA by Riemannian Optimization	Unknown	PDF	N/A
Learning Reasoning Strategies in End-to-End Differentiable Proving	Unknown	PDF	N/A
Learning Algebraic Multigrid Using Graph Neural Networks	Unknown	PDF	N/A
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis	Unknown	PDF	N/A
Neural Kernels Without Tangents	Unknown	PDF	N/A
Q-value Path Decomposition for Deep Multiagent Reinforcement Learning	Unknown	PDF	N/A
Quantized Decentralized Stochastic Learning over Directed Graphs	Unknown	PDF	N/A
Continuous-time Lower Bounds for Gradient-based Algorithms	Unknown	PDF	N/A
Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning	Unknown	PDF	N/A
Coresets for Data-efficient Training of Machine Learning Models	Unknown	PDF	N/A
Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning	Unknown	PDF	N/A
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion	Unknown	PDF	N/A
Safe screening rules for L0-regression from Perspective Relaxations	Unknown	PDF	N/A
Semi-Supervised StyleGAN for Disentanglement Learning	Unknown	PDF	N/A
Variational Label Enhancement	Unknown	PDF	N/A
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach	Unknown	PDF	N/A
The Non-IID Data Quagmire of Decentralized Machine Learning	Unknown	PDF	N/A
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective	Unknown	PDF	N/A
Parametric Gaussian Process Regressors	Unknown	PDF	N/A
Evaluating the Performance of Reinforcement Learning Algorithms	Unknown	PDF	N/A
Eliminating the Invariance on the Loss Landscape of Linear Autoencoders	Unknown	PDF	N/A
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis	Unknown	PDF	N/A
An end-to-end approach for the verification problem: learning the right distance	Unknown	PDF	N/A
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions	Unknown	PDF	N/A
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines	Unknown	PDF	N/A
Frustratingly Simple Few-Shot Object Detection	Unknown	PDF	N/A
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training	Unknown	PDF	N/A
Rethinking Bias-Variance Trade-off for Generalization of Neural Networks	Unknown	PDF	N/A
Universal Equivariant Multilayer Perceptrons	Unknown	PDF	N/A
Optimal Robust Learning of Discrete Distributions from Batches	Unknown	PDF	N/A
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs	Unknown	PDF	N/A
Energy-Based Processes for Exchangeable Data	Unknown	PDF	N/A
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm	Unknown	PDF	N/A
LowFER: Low-rank Bilinear Pooling for Link Prediction	Unknown	PDF	N/A
SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification	Unknown	PDF	N/A
Momentum Improves Normalized SGD	Unknown	PDF	N/A
When are Non-Parametric Methods Robust?	Unknown	PDF	N/A
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing	Unknown	PDF	N/A
Multi-Objective Molecule Generation using Interpretable Substructures	Unknown	PDF	N/A
The Implicit Regularization of Stochastic Gradient Flow for Least Squares	Unknown	PDF	N/A
Learning Representations that Support Extrapolation	Unknown	PDF	N/A
Frequency Bias in Neural Networks for Input of Non-Uniform Density	Unknown	PDF	N/A
Incremental Sampling Without Replacement for Sequence Models	Unknown	PDF	N/A
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks	Unknown	PDF	N/A
Variable Skipping for Autoregressive Range Density Estimation	Unknown	PDF	N/A
TaskNorm: Rethinking Batch Normalization for Meta-Learning	Unknown	PDF	N/A
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization	Unknown	PDF	N/A
Learning to Score Behaviors for Guided Policy Optimization	Unknown	PDF	N/A
Invertible generative models for inverse problems: mitigating representation error and dataset bias	Unknown	PDF	N/A
Anderson Acceleration of Proximal Gradient Methods	Unknown	PDF	N/A
Harmonic Decompositions of Convolutional Networks	Unknown	PDF	N/A
Deep k-NN for Noisy Labels	Unknown	PDF	N/A
An Explicitly Relational Neural Network Architecture	Unknown	PDF	N/A
Private Counting from Anonymous Messages: Near-Optimal Accuracy with Vanishing Communication Overhead	Unknown	PDF	N/A
Learning with Multiple Complementary Labels	Unknown	PDF	N/A
Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle	Unknown	PDF	N/A
LTF: A Label Transformation Framework for Correcting Label Shift	Unknown	PDF	N/A
Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints	Unknown	PDF	N/A
Learning Portable Representations for High-Level Planning	Unknown	PDF	N/A
Choice Set Optimization Under Discrete Choice Models of Group Decisions	Unknown	PDF	N/A
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking	Unknown	PDF	N/A
Unique Properties of Flat Minima in Deep Networks	Unknown	PDF	N/A
Stochastic Differential Equations with Variational Wishart Diffusions	Unknown	PDF	N/A
Explaining Groups of Points in Low-Dimensional Representations	Unknown	PDF	N/A
Understanding and Stabilizing GANs' Training Dynamics Using Control Theory	Unknown	PDF	N/A
Calibration, Entropy Rates, and Memory in Language Models	Unknown	PDF	N/A
Entropy Minimization In Emergent Languages	Unknown	PDF	N/A
Model Fusion with Kullback--Leibler Divergence	Unknown	PDF	N/A
Momentum-Based Policy Gradient Methods	Unknown	PDF	N/A
Scalable Nearest Neighbor Search for Optimal Transport	Unknown	PDF	N/A
Discount Factor as a Regularizer in Reinforcement Learning	Unknown	PDF	N/A
Small-GAN: Speeding up GAN Training using Core-Sets	Unknown	PDF	N/A
Median Matrix Completion: from Embarrassment to Optimality	Unknown	PDF	N/A
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits	Unknown	PDF	N/A
Online mirror descent and dual averaging: keeping pace in the dynamic case	Unknown	PDF	N/A
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems	Unknown	PDF	N/A
Encoding Musical Style with Transformer Autoencoders	Unknown	PDF	N/A
Interferometric Graph Transform: a Deep Unsupervised Graph Representation	Unknown	PDF	N/A
Robust Pricing in Dynamic Mechanism Design	Unknown	PDF	N/A
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates	Unknown	PDF	N/A
Spectral Clustering with Graph Neural Networks for Graph Pooling	Unknown	PDF	N/A
Fully Parallel Hyperparameter Search: Reshaped Space-Filling	Unknown	PDF	N/A
On Relativistic f-Divergences	Unknown	PDF	N/A
Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity	Unknown	PDF	N/A
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection	Unknown	PDF	N/A
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training	Unknown	PDF	N/A
Robust Outlier Arm Identification	Unknown	PDF	N/A
Stochastic bandits with arm-dependent delays	Unknown	PDF	N/A
Consistent Structured Prediction with Max-Min Margin Markov Networks	Unknown	PDF	N/A
Latent Space Factorisation and Manipulation via Matrix Subspace Projection	Unknown	PDF	N/A
Modulating Surrogates for Bayesian Optimization	Unknown	PDF	N/A
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance	Unknown	PDF	N/A
Random extrapolation for primal-dual coordinate descent	Unknown	PDF	N/A
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions	Unknown	PDF	N/A
Active World Model Learning in Agent-rich Environments with Progress Curiosity	Unknown	PDF	N/A
Predicting Choice with Set-Dependent Aggregation	Unknown	PDF	N/A
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks	Unknown	PDF	N/A
Projective Preferential Bayesian Optimization	Unknown	PDF	N/A
Simple and Deep Graph Convolutional Networks	Unknown	PDF	N/A
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization	Unknown	PDF	N/A
Real-Time Optimisation for Online Learning in Auctions	Unknown	PDF	N/A
Multidimensional Shape Constraints	Unknown	PDF	N/A
Robust Bayesian Classification Using An Optimistic Score Ratio	Unknown	PDF	N/A
Convergence Rates of Variational Inference in Sparse Deep Learning	Unknown	PDF	N/A
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently	Unknown	PDF	N/A
Deep Coordination Graphs	Unknown	PDF	N/A
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics	Unknown	PDF	N/A
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits	Unknown	PDF	N/A
Unsupervised Transfer Learning for Spatiotemporal Predictive Networks	Unknown	PDF	N/A
Strategyproof Mean Estimation from Multiple-Choice Questions	Unknown	PDF	N/A
Double Trouble in Double Descent: Bias and Variance(s) in the Lazy Regime	Unknown	PDF	N/A
Imputer: Sequence Modelling via Imputation and Dynamic Programming	Unknown	PDF	N/A
Towards non-parametric drift detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)	Unknown	PDF	N/A
Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains	Unknown	PDF	N/A
On the Global Optimality of Model-Agnostic Meta-Learning	Unknown	PDF	N/A
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC	Unknown	PDF	N/A
Continuously Indexed Domain Adaptation	Unknown	PDF	N/A
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model	Unknown	PDF	N/A
Cost-effectively Identifying Causal Effects When Only Response Variable is Observable	Unknown	PDF	N/A
Sequential Cooperative Bayesian Inference	Unknown	PDF	N/A
Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games	Unknown	PDF	N/A
Adaptive Region-Based Active Learning	Unknown	PDF	N/A
Private Reinforcement Learning with PAC and Regret Guarantees	Unknown	PDF	N/A
Sparse Subspace Clustering with Entropy-Norm	Unknown	PDF	N/A
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features	Unknown	PDF	N/A
Debiased Sinkhorn barycenters	Unknown	PDF	N/A
Principled learning method for Wasserstein distributionally robust optimization with local perturbations	Unknown	PDF	N/A
Generative Flows with Matrix Exponential	Unknown	PDF	N/A
Equivariant Neural Rendering	Unknown	PDF	N/A
Optimizing Black-box Metrics with Adaptive Surrogates	Unknown	PDF	N/A
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills	Unknown	PDF	N/A
Self-Attentive Hawkes Process	Unknown	PDF	N/A
Negative Sampling in Semi-Supervised learning	Unknown	PDF	N/A
Sparse Shrunk Additive Models	Unknown	PDF	N/A
Spread Divergence	Unknown	PDF	N/A
VFlow: More Expressive Generative Flows with Variational Data Augmentation	Unknown	PDF	N/A
Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition	Unknown	PDF	N/A
Label-Noise Robust Domain Adaptation	Unknown	PDF	N/A
Learning Opinions in Social Networks	Unknown	PDF	N/A
Voice Separation with an Unknown Number of Multiple Speakers	Unknown	PDF	N/A
Off-Policy Actor-Critic with Shared Experience Replay	Unknown	PDF	N/A
Self-Concordant Analysis of Frank-Wolfe Algorithms	Unknown	PDF	N/A
On the Generalization Effects of Linear Transformations in Data Augmentation	Unknown	PDF	N/A
Graph Random Neural Features for Distance-Preserving Graph Representations	Unknown	PDF	N/A
Provably Efficient Exploration in Policy Optimization	Unknown	PDF	N/A
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling	Unknown	PDF	N/A
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables	Unknown	PDF	N/A
Quantum Expectation-Maximization for Gaussian mixture models	Unknown	PDF	N/A
Proper Network Interpretability Helps Adversarial Robustness in Classification	Unknown	PDF	N/A
DeBayes: a Bayesian Method for Debiasing Network Embeddings	Unknown	PDF	N/A
Learning Deep Kernels for Non-Parametric Two-Sample Tests	Unknown	PDF	N/A
Stabilizing Transformers for Reinforcement Learning	Unknown	PDF	N/A
Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses	Unknown	PDF	N/A
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning	Unknown	PDF	N/A
Divide, Conquer, and Combine: a New Inference Strategy for Probabilistic Programs with Stochastic Support	Unknown	PDF	N/A
Influenza Forecasting Framework based on Gaussian Processes	Unknown	PDF	N/A
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making	Unknown	PDF	N/A
Ready Policy One: World Building Through Active Learning	Unknown	PDF	N/A
Semismooth Newton Algorithm for Efficient Projections onto $\ell_{1, \infty}$-norm Ball	Unknown	PDF	N/A
Graph-based Nearest Neighbor Search: From Practice to Theory	Unknown	PDF	N/A
Structural Language Models of Code	Unknown	PDF	N/A
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning	Unknown	PDF	N/A
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization	Unknown	PDF	N/A
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data	Unknown	PDF	N/A
Statistically Efficient Off-Policy Policy Gradients	Unknown	PDF	N/A
Nearly Linear Row Sampling Algorithm for Quantile Regression	Unknown	PDF	N/A
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton	Unknown	PDF	N/A
On Leveraging Pretrained GANs for Generation with Limited Data	Unknown	PDF	N/A
Few-shot Domain Adaptation by Causal Mechanism Transfer	Unknown	PDF	N/A
Adaptive Adversarial Multi-task Representation Learning	Unknown	PDF	N/A
Variance Reduced Coordinate Descent with Acceleration: New Method With a Surprising Application to Finite-Sum Problems	Unknown	PDF	N/A
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective	Unknown	PDF	N/A
Generating Programmatic Referring Expressions via Program Synthesis	Unknown	PDF	N/A
Explicit Gradient Learning for Black-Box Optimization	Unknown	PDF	N/A
Optimization and Analysis of the pAp@k Metric for Recommender Systems	Unknown	PDF	N/A
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training	Unknown	PDF	N/A
Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control	Unknown	PDF	N/A
Interpretations are Useful: Penalizing Explanations to Align Neural Networks with Prior Knowledge	Unknown	PDF	N/A
Training Linear Neural Networks: Non-Local Convergence and Complexity Results	Unknown	PDF	N/A
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles	Unknown	PDF	N/A
Online Pricing with Offline Data: Phase Transition and Inverse Square Law	Unknown	PDF	N/A
Stochastic Gradient and Langevin Processes	Unknown	PDF	N/A
Minimax Pareto Fairness: A Multi Objective Perspective	Unknown	PDF	N/A
When Explanations Lie: Why Many Modified BP Attributions Fail	Unknown	PDF	N/A
Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions	Unknown	PDF	N/A
DeltaGrad: Rapid retraining of machine learning models	Unknown	PDF	N/A
Teaching with Limited Information on the Learner's Behaviour	Unknown	PDF	N/A
Do RNN and LSTM have Long Memory?	Unknown	PDF	N/A
On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness	Unknown	PDF	N/A
Taylor Expansion Policy Optimization	Unknown	PDF	N/A
Layered Sampling for Robust Optimization Problems	Unknown	PDF	N/A
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE	Unknown	PDF	N/A
One Size Fits All: Can We Train One Denoiser for All Noise Levels?	Unknown	PDF	N/A
Learning to Encode Position for Transformer with Continuous Dynamical Model	Unknown	PDF	N/A
Certified Data Removal from Machine Learning Models	Unknown	PDF	N/A
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation	Unknown	PDF	N/A
Approximation Capabilities of Neural ODEs and Invertible Residual Networks	Unknown	PDF	N/A
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift Adaptation	Unknown	PDF	N/A
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures	Unknown	PDF	N/A
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification	Unknown	PDF	N/A
Fast OSCAR and OWL Regression via Safe Screening Rules	Unknown	PDF	N/A
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization	Unknown	PDF	N/A
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization	Unknown	PDF	N/A
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing	Unknown	PDF	N/A
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach	Unknown	PDF	N/A
Multi-Agent Determinantal Q-Learning	Unknown	PDF	N/A
Task Understanding from Confusing Multi-task Data	Unknown	PDF	N/A
Privately detecting changes in unknown distributions	Unknown	PDF	N/A
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming	Unknown	PDF	N/A
Symbolic Network: Generalized Neural Policies for Relational MDPs	Unknown	PDF	N/A
Stochastic Flows and Geometric Optimization on the Orthogonal Group	Unknown	PDF	N/A
Topological Autoencoders	Unknown	PDF	N/A
On Layer Normalization in the Transformer Architecture	Unknown	PDF	N/A
Fiduciary Bandits	Unknown	PDF	N/A
One-shot Distributed Ridge Regression in High Dimensions	Unknown	PDF	N/A
Robustness to Programmable String Transformations via Augmented Abstract Training	Unknown	PDF	N/A
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching	Unknown	PDF	N/A
Channel Equilibrium Networks for Learning Deep Representation	Unknown	PDF	N/A
Universal Asymptotic Optimality of Polyak Momentum	Unknown	PDF	N/A
Progressive Graph Learning for Open-Set Domain Adaptation	Unknown	PDF	N/A
SoftSort: A Continuous Relaxation for the argsort Operator	Unknown	PDF	N/A
Cooperative Multi-Agent Bandits with Heavy Tails	Unknown	PDF	N/A
Enhancing Simple Models by Exploiting What They Already Know	Unknown	PDF	N/A
Cost-Effective Interactive Attention Learning with Neural Attention Processes	Unknown	PDF	N/A
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation	Unknown	PDF	N/A
Learning De-biased Representations with Biased Representations	Unknown	PDF	N/A
Too Relaxed to Be Fair	Unknown	PDF	N/A
From Importance Sampling to Doubly Robust Policy Gradient	Unknown	PDF	N/A
Context Aware Local Differential Privacy	Unknown	PDF	N/A
From PAC to Instance-Optimal Sample Complexity in the Plackett-Luce Model	Unknown	PDF	N/A
Graph Structure of Neural Networks	Unknown	PDF	N/A
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise	Unknown	PDF	N/A
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters	Unknown	PDF	N/A
Automatic Reparameterisation of Probabilistic Programs	Unknown	PDF	N/A
Privately Learning Markov Random Fields	Unknown	PDF	N/A
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards	Unknown	PDF	N/A
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies	Unknown	PDF	N/A
Learning Factorized Weight Matrix for Joint Filtering	Unknown	PDF	N/A
Optimal Continual Learning has Perfect Memory and is NP-hard	Unknown	PDF	N/A
More Information Supervised Probabilistic Deep Face Embedding Learning	Unknown	PDF	N/A
Acceleration through spectral density estimation	Unknown	PDF	N/A
Reverse-engineering deep ReLU networks	Unknown	PDF	N/A
Almost Tune-Free Variance Reduction	Unknown	PDF	N/A
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search	Unknown	PDF	N/A
Randomized Block-Diagonal Preconditioning for Parallel Learning	Unknown	PDF	N/A
Class-Weighted Classification: Trade-offs and Robust Approaches	Unknown	PDF	N/A
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization	Unknown	PDF	N/A
New Oracle-Efficient Algorithms for Private Synthetic Data Release	Unknown	PDF	N/A
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation	Unknown	PDF	N/A
Scalable Differentiable Physics for Learning and Control	Unknown	PDF	N/A
Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting	Unknown	PDF	N/A
Training Binary Neural Networks through Learning with Noisy Supervision	Unknown	PDF	N/A
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits	Unknown	PDF	N/A
The Complexity of Finding Stationary Points with Stochastic Gradient Descent	Unknown	PDF	N/A
Reserve Pricing in Repeated Second-Price Auctions with Strategic Bidders	Unknown	PDF	N/A
Uniform Convergence of Rank-weighted Learning	Unknown	PDF	N/A
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images	Unknown	PDF	N/A
The Many Shapley Values for Model Explanation	Unknown	PDF	N/A
Feature-map-level Online Adversarial Knowledge Distillation	Unknown	PDF	N/A
Soft Threshold Weight Reparameterization for Learnable Sparsity	Unknown	PDF	N/A
Performative Prediction	Unknown	PDF	N/A
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods	Unknown	PDF	N/A

ICML 2021

Title	Author	PDF_Link	Code_URL
Lossless Compression of Efficient Private Local Randomizers	Unknown	PDF	N/A
On the Predictability of Pruning Across Scales	Unknown	PDF	N/A
Emphatic Algorithms for Deep Reinforcement Learning	Unknown	PDF	N/A
Regularizing towards Causal Invariance: Linear Models with Proxies	Unknown	PDF	N/A
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations	Unknown	PDF	N/A
How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation	Unknown	PDF	N/A
Provably Efficient Reinforcement Learning for Discounted MDPs with Feature Mapping	Unknown	PDF	N/A
TempoRL: Learning When to Act	Unknown	PDF	N/A
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients	Unknown	PDF	N/A
Memory Efficient Online Meta Learning	Unknown	PDF	N/A
Adversarial Policy Learning in Two-player Competitive Games	Unknown	PDF	N/A
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking	Unknown	PDF	N/A
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation	Unknown	PDF	N/A
Beyond Variance Reduction: Understanding the True Impact of Baselines on Policy Optimization	Unknown	PDF	N/A
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes	Unknown	PDF	N/A
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning	Unknown	PDF	N/A
Deep Learning for Functional Data Analysis with Adaptive Basis Layers	Unknown	PDF	N/A
Three Operator Splitting with a Nonconvex Loss Function	Unknown	PDF	N/A
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners	Unknown	PDF	N/A
DeepWalking Backwards: From Embeddings Back to Graphs	Unknown	PDF	N/A
What does LIME really see in images?	Unknown	PDF	N/A
Learning to Rehearse in Long Sequence Memorization	Unknown	PDF	N/A
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision	Unknown	PDF	N/A
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.	Unknown	PDF	N/A
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning	Unknown	PDF	N/A
Skew Orthogonal Convolutions	Unknown	PDF	N/A
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation	Unknown	PDF	N/A
Mixed Cross Entropy Loss for Neural Machine Translation	Unknown	PDF	N/A
Dissecting Supervised Constrastive Learning	Unknown	PDF	N/A
Hierarchical VAEs Know What They Don’t Know	Unknown	PDF	N/A
Optimal Off-Policy Evaluation from Multiple Logging Policies	Unknown	PDF	N/A
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach	Unknown	PDF	N/A
Federated Deep AUC Maximization for Hetergeneous Data with a Constant Communication Complexity	Unknown	PDF	N/A
Active Learning of Continuous-time Bayesian Networks through Interventions	Unknown	PDF	N/A
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums	Unknown	PDF	N/A
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels	Unknown	PDF	N/A
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients	Unknown	PDF	N/A
Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference	Unknown	PDF	N/A
Adaptive Sampling for Best Policy Identification in Markov Decision Processes	Unknown	PDF	N/A
Environment Inference for Invariant Learning	Unknown	PDF	N/A
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification	Unknown	PDF	N/A
Approximate Group Fairness for Clustering	Unknown	PDF	N/A
Few-Shot Neural Architecture Search	Unknown	PDF	N/A
Poolingformer: Long Document Modeling with Pooling Attention	Unknown	PDF	N/A
CURI: A Benchmark for Productive Concept Learning Under Uncertainty	Unknown	PDF	N/A
Data augmentation for deep learning based accelerated MRI reconstruction with limited data	Unknown	PDF	N/A
Context-Aware Online Collective Inference for Templated Graphical Models	Unknown	PDF	N/A
Parallelizing Legendre Memory Unit Training	Unknown	PDF	N/A
Tilting the playing field: Dynamical loss functions for machine learning	Unknown	PDF	N/A
Skill Discovery for Exploration and Planning using Deep Skill Graphs	Unknown	PDF	N/A
Learner-Private Convex Optimization	Unknown	PDF	N/A
Network Inference and Influence Maximization from Samples	Unknown	PDF	N/A
Temporally Correlated Task Scheduling for Sequence Learning	Unknown	PDF	N/A
Temporal Predictive Coding For Model-Based Planning In Latent Space	Unknown	PDF	N/A
Smooth $p$-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications	Unknown	PDF	N/A
A Theory of Label Propagation for Subpopulation Shift	Unknown	PDF	N/A
Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks	Unknown	PDF	N/A
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving	Unknown	PDF	N/A
Conservative Objective Models for Effective Offline Model-Based Optimization	Unknown	PDF	N/A
Selfish Sparse RNN Training	Unknown	PDF	N/A
How to Learn when Data Reacts to Your Model: Performative Gradient Descent	Unknown	PDF	N/A
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification	Unknown	PDF	N/A
On Limited-Memory Subsampling Strategies for Bandits	Unknown	PDF	N/A
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization	Unknown	PDF	N/A
Optimal Thompson Sampling strategies for support-aware CVaR bandits	Unknown	PDF	N/A
Neural Architecture Search without Training	Unknown	PDF	N/A
Discriminative Complementary-Label Learning with Weighted Loss	Unknown	PDF	N/A
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset	Unknown	PDF	N/A
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization	Unknown	PDF	N/A
A Functional Perspective on Learning Symmetric Functions with Neural Networks	Unknown	PDF	N/A
Oblivious Sketching-based Central Path Method for Linear Programming	Unknown	PDF	N/A
Federated Learning under Arbitrary Communication Patterns	Unknown	PDF	N/A
Unsupervised Part Representation by Flow Capsules	Unknown	PDF	N/A
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data	Unknown	PDF	N/A
Learning Deep Neural Networks under Agnostic Corrupted Supervision	Unknown	PDF	N/A
Directional Bias Amplification	Unknown	PDF	N/A
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees	Unknown	PDF	N/A
Connecting Sphere Manifolds Hierarchically for Regularization	Unknown	PDF	N/A
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach	Unknown	PDF	N/A
Bayesian Optimization over Hybrid Spaces	Unknown	PDF	N/A
Detection of Signal in the Spiked Rectangular Models	Unknown	PDF	N/A
Streaming Bayesian Deep Tensor Factorization	Unknown	PDF	N/A
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity	Unknown	PDF	N/A
Compositional Video Synthesis with Action Graphs	Unknown	PDF	N/A
Directed Graph Embeddings in Pseudo-Riemannian Manifolds	Unknown	PDF	N/A
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?	Unknown	PDF	N/A
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold	Unknown	PDF	N/A
Representation Matters: Offline Pretraining for Sequential Decision Making	Unknown	PDF	N/A
Robust Representation Learning via Perceptual Similarity Metrics	Unknown	PDF	N/A
On the difficulty of unbiased alpha divergence minimization	Unknown	PDF	N/A
What Are Bayesian Neural Network Posteriors Really Like?	Unknown	PDF	N/A
Neural Transformation Learning for Deep Anomaly Detection Beyond Images	Unknown	PDF	N/A
On Energy-Based Models with Overparametrized Shallow Neural Networks	Unknown	PDF	N/A
Preferential Temporal Difference Learning	Unknown	PDF	N/A
Exploiting Shared Representations for Personalized Federated Learning	Unknown	PDF	N/A
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization	Unknown	PDF	N/A
Dynamic Game Theoretic Neural Optimizer	Unknown	PDF	N/A
Testing Group Fairness via Optimal Transport Projections	Unknown	PDF	N/A
Goal-Conditioned Reinforcement Learning with Imagined Subgoals	Unknown	PDF	N/A
LogME: Practical Assessment of Pre-trained Models for Transfer Learning	Unknown	PDF	N/A
Tensor Programs IIb: Architectural Universality Of Neural Tangent Kernel Training Dynamics	Unknown	PDF	N/A
Offline Reinforcement Learning with Fisher Divergence Critic Regularization	Unknown	PDF	N/A
Correlation Clustering in Constant Many Parallel Rounds	Unknown	PDF	N/A
RATT: Leveraging Unlabeled Data to Guarantee Generalization	Unknown	PDF	N/A
Distributed Second Order Methods with Fast Rates and Compressed Communication	Unknown	PDF	N/A
Adapting to misspecification in contextual bandits with offline regression oracles	Unknown	PDF	N/A
Decoupling Representation Learning from Reinforcement Learning	Unknown	PDF	N/A
Task-Optimal Exploration in Linear Dynamical Systems	Unknown	PDF	N/A
Finding Relevant Information via a Discrete Fourier Expansion	Unknown	PDF	N/A
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks	Unknown	PDF	N/A
Dash: Semi-Supervised Learning with Dynamic Thresholding	Unknown	PDF	N/A
Decision-Making Under Selective Labels: Optimal Finite-Domain Policies and Beyond	Unknown	PDF	N/A
Connecting Interpretability and Robustness in Decision Trees through Separation	Unknown	PDF	N/A
Self-Damaging Contrastive Learning	Unknown	PDF	N/A
On Variational Inference in Biclustering Models	Unknown	PDF	N/A
Nonmyopic Multifidelity Acitve Search	Unknown	PDF	N/A
Directional Graph Networks	Unknown	PDF	N/A
First-Order Methods for Wasserstein Distributionally Robust MDP	Unknown	PDF	N/A
REPAINT: Knowledge Transfer in Deep Reinforcement Learning	Unknown	PDF	N/A
Addressing Catastrophic Forgetting in Few-Shot Problems	Unknown	PDF	N/A
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation	Unknown	PDF	N/A
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach	Unknown	PDF	N/A
Graph Neural Networks Inspired by Classical Iterative Algorithms	Unknown	PDF	N/A
Uniform Convergence, Adversarial Spheres and a Simple Remedy	Unknown	PDF	N/A
Generating images with sparse representations	Unknown	PDF	N/A
Implicit Regularization in Tensor Factorization	Unknown	PDF	N/A
Autoencoder Image Interpolation by Shaping the Latent Space	Unknown	PDF	N/A
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention	Unknown	PDF	N/A
Single Pass Entrywise-Transformed Low Rank Approximation	Unknown	PDF	N/A
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples	Unknown	PDF	N/A
Accelerating Gossip SGD with Periodic Global Averaging	Unknown	PDF	N/A
SpreadsheetCoder: Formula Prediction from Semi-structured Context	Unknown	PDF	N/A
Compressed Maximum Likelihood	Unknown	PDF	N/A
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment	Unknown	PDF	N/A
Policy Analysis using Synthetic Controls in Continuous-Time	Unknown	PDF	N/A
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression	Unknown	PDF	N/A
Representation Subspace Distance for Domain Adaptation Regression	Unknown	PDF	N/A
Re-understanding Finite-State Representations of Recurrent Policy Networks	Unknown	PDF	N/A
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing	Unknown	PDF	N/A
Kernel-Based Reinforcement Learning: A Finite-Time Analysis	Unknown	PDF	N/A
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech	Unknown	PDF	N/A
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method	Unknown	PDF	N/A
Low-Rank Sinkhorn Factorization	Unknown	PDF	N/A
Monte Carlo Variational Auto-Encoders	Unknown	PDF	N/A
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning	Unknown	PDF	N/A
Locally Private k-Means in One Round	Unknown	PDF	N/A
Optimization Planning for 3D ConvNets	Unknown	PDF	N/A
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?	Unknown	PDF	N/A
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining	Unknown	PDF	N/A
Light RUMs	Unknown	PDF	N/A
PODS: Policy Optimization via Differentiable Simulation	Unknown	PDF	N/A
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks	Unknown	PDF	N/A
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks	Unknown	PDF	N/A
Characterizing Fairness Over the Set of Good Models Under Selective Labels	Unknown	PDF	N/A
A large-scale benchmark for few-shot program induction and synthesis	Unknown	PDF	N/A
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients	Unknown	PDF	N/A
Ensemble Bootstrapping for Q-Learning	Unknown	PDF	N/A
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability	Unknown	PDF	N/A
A Scalable Deterministic Global Optimization Algorithm for Clustering Problems	Unknown	PDF	N/A
Regularized Online Allocation Problems: Fairness and Beyond	Unknown	PDF	N/A
A Proxy Variable View of Shared Confounding	Unknown	PDF	N/A
Provable Lipschitz Certification for Generative Models	Unknown	PDF	N/A
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search	Unknown	PDF	N/A
Neural SDEs as Infinite-Dimensional GANs	Unknown	PDF	N/A
Pointwise Binary Classification with Pairwise Confidence Comparisons	Unknown	PDF	N/A
Global Prosody Style Transfer Without Text Transcriptions	Unknown	PDF	N/A
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning	Unknown	PDF	N/A
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration	Unknown	PDF	N/A
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets	Unknown	PDF	N/A
SparseBERT: Rethinking the Importance Analysis in Self-attention	Unknown	PDF	N/A
A Regret Minimization Approach to Iterative Learning Control	Unknown	PDF	N/A
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed	Unknown	PDF	N/A
Differentiable Sorting Networks for Scalable Sorting and Ranking Supervision	Unknown	PDF	N/A
Efficient Statistical Tests: A Neural Tangent Kernel Approach	Unknown	PDF	N/A
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks	Unknown	PDF	N/A
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks	Unknown	PDF	N/A
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables	Unknown	PDF	N/A
Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods	Unknown	PDF	N/A
Few-shot Language Coordination by Modeling Theory of Mind	Unknown	PDF	N/A
On the Optimality of Batch Policy Optimization Algorithms	Unknown	PDF	N/A
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills	Unknown	PDF	N/A
Faster Kernel Matrix Algebra via Density Estimation	Unknown	PDF	N/A
Meta-Thompson Sampling	Unknown	PDF	N/A
Simple and Effective VAE Training with Calibrated Decoders	Unknown	PDF	N/A
PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration	Unknown	PDF	N/A
DANCE: Enhancing saliency maps using decoys	Unknown	PDF	N/A
Learning Generalized Intersection Over Union for Dense Pixelwise Prediction	Unknown	PDF	N/A
Bayesian Quadrature on Riemannian Data Manifolds	Unknown	PDF	N/A
Towards Understanding Learning in Neural Networks with Linear Teachers	Unknown	PDF	N/A
Learning from Nested Data with Ornstein Auto-Encoders	Unknown	PDF	N/A
When Does Data Augmentation Help With Membership Inference Attacks?	Unknown	PDF	N/A
Debiasing Model Updates for Improving Personalized Federated Training	Unknown	PDF	N/A
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design	Unknown	PDF	N/A
Reinforcement Learning Under Moral Uncertainty	Unknown	PDF	N/A
Elastic Graph Neural Networks	Unknown	PDF	N/A
Integrated Defense for Resilient Graph Matching	Unknown	PDF	N/A
Latent Programmer: Discrete Latent Codes for Program Synthesis	Unknown	PDF	N/A
Toward Better Generalization Bounds with Locally Elastic Stability	Unknown	PDF	N/A
CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints	Unknown	PDF	N/A
Learning Task Informed Abstractions	Unknown	PDF	N/A
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection	Unknown	PDF	N/A
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design	Unknown	PDF	N/A
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention	Unknown	PDF	N/A
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis	Unknown	PDF	N/A
Generalization Error Bound for Hyperbolic Ordinal Embedding	Unknown	PDF	N/A
Can Subnetwork Structure Be the Key to Out-of-Distribution Generalization?	Unknown	PDF	N/A
An Algorithm for Stochastic and Adversarial Bandits with Switching Costs	Unknown	PDF	N/A
Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning	Unknown	PDF	N/A
Composing Normalizing Flows for Inverse Problems	Unknown	PDF	N/A
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training	Unknown	PDF	N/A
LIME: Learning Inductive Bias for Primitives of Mathematical Reasoning	Unknown	PDF	N/A
Fairness of Exposure in Stochastic Bandits	Unknown	PDF	N/A
Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction	Unknown	PDF	N/A
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples	Unknown	PDF	N/A
Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions	Unknown	PDF	N/A
Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap	Unknown	PDF	N/A
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers	Unknown	PDF	N/A
On Recovering from Modeling Errors Using Testing Bayesian Networks	Unknown	PDF	N/A
Learning While Playing in Mean-Field Games: Convergence and Optimality	Unknown	PDF	N/A
Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps	Unknown	PDF	N/A
Fast Projection Onto Convex Smooth Constraints	Unknown	PDF	N/A
Markpainting: Adversarial Machine Learning meets Inpainting	Unknown	PDF	N/A
Online A-Optimal Design and Active Linear Regression	Unknown	PDF	N/A
Learning Routines for Effective Off-Policy Reinforcement Learning	Unknown	PDF	N/A
Query Complexity of Adversarial Attacks	Unknown	PDF	N/A
On Disentangled Representations Learned from Correlated Data	Unknown	PDF	N/A
Oops I Took A Gradient: Scalable Sampling for Discrete Distributions	Unknown	PDF	N/A
Online Limited Memory Neural-Linear Bandits with Likelihood Matching	Unknown	PDF	N/A
Risk-Sensitive Reinforcement Learning with Function Approximation: A Debiasing Approach	Unknown	PDF	N/A
Optimizing Black-box Metrics with Iterative Example Weighting	Unknown	PDF	N/A
Mandoline: Model Evaluation under Distribution Shift	Unknown	PDF	N/A
Provably Correct Optimization and Exploration with Non-linear Policies	Unknown	PDF	N/A
Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation	Unknown	PDF	N/A
OmniNet: Omnidirectional Representations from Transformers	Unknown	PDF	N/A
Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation	Unknown	PDF	N/A
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs	Unknown	PDF	N/A
Kernel Stein Discrepancy Descent	Unknown	PDF	N/A
A Novel Sequential Coreset Method for Gradient Descent Algorithms	Unknown	PDF	N/A
Improving Gradient Regularization using Complex-Valued Neural Networks	Unknown	PDF	N/A
Data-efficient Hindsight Off-policy Option Learning	Unknown	PDF	N/A
Leveraging Good Representations in Linear Contextual Bandits	Unknown	PDF	N/A
Adversarial Purification with Score-based Generative Models	Unknown	PDF	N/A
Meta-learning Hyperparameter Performance Prediction with Neural Processes	Unknown	PDF	N/A
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts	Unknown	PDF	N/A
Towards Better Robust Generalization with Shift Consistency Regularization	Unknown	PDF	N/A
Best Model Identification: A Rested Bandit Formulation	Unknown	PDF	N/A
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication	Unknown	PDF	N/A
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Fast margin maximization via dual acceleration	Unknown	PDF	N/A
From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments	Unknown	PDF	N/A
Towards Domain-Agnostic Contrastive Learning	Unknown	PDF	N/A
Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization	Unknown	PDF	N/A
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold	Unknown	PDF	N/A
Tensor Programs IV: Feature Learning in Infinite-Width Neural Networks	Unknown	PDF	N/A
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech	Unknown	PDF	N/A
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems	Unknown	PDF	N/A
Unitary Branching Programs: Learnability and Lower Bounds	Unknown	PDF	N/A
Cyclically Equivariant Neural Decoders for Cyclic Codes	Unknown	PDF	N/A
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method	Unknown	PDF	N/A
Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation	Unknown	PDF	N/A
Estimating $\alpha$-Rank from A Few Entries with Low Rank Matrix Completion	Unknown	PDF	N/A
Deep Coherent Exploration for Continuous Control	Unknown	PDF	N/A
A Differentiable Point Process with Its Application to Spiking Neural Networks	Unknown	PDF	N/A
Overcoming Catastrophic Forgetting by Bayesian Generative Regularization	Unknown	PDF	N/A
Lenient Regret and Good-Action Identification in Gaussian Process Bandits	Unknown	PDF	N/A
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels	Unknown	PDF	N/A
Fixed-Parameter and Approximation Algorithms for PCA with Outliers	Unknown	PDF	N/A
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning	Unknown	PDF	N/A
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis	Unknown	PDF	N/A
Generalised Lipschitz Regularisation Equals Distributional Robustness	Unknown	PDF	N/A
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision	Unknown	PDF	N/A
Targeted Data Acquisition for Evolving Negotiation Agents	Unknown	PDF	N/A
BASE Layers: Simplifying Training of Large, Sparse Models	Unknown	PDF	N/A
Instabilities of Offline RL with Pre-Trained Neural Representation	Unknown	PDF	N/A
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting	Unknown	PDF	N/A
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks	Unknown	PDF	N/A
Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer	Unknown	PDF	N/A
Local Algorithms for Finding Densely Connected Clusters	Unknown	PDF	N/A
Near-Optimal Algorithms for Explainable k-Medians and k-Means	Unknown	PDF	N/A
Multi-group Agnostic PAC Learnability	Unknown	PDF	N/A
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding	Unknown	PDF	N/A
Improved Regret Bound and Experience Replay in Regularized Policy Iteration	Unknown	PDF	N/A
Conditional Temporal Neural Processes with Covariance Loss	Unknown	PDF	N/A
Structured Convolutional Kernel Networks for Airline Crew Scheduling	Unknown	PDF	N/A
Deep Continuous Networks	Unknown	PDF	N/A
Efficient Lottery Ticket Finding: Less Data is More	Unknown	PDF	N/A
Putting the ``Learning" into Learning-Augmented Algorithms for Frequency Estimation	Unknown	PDF	N/A
Classification with Rejection Based on Cost-sensitive Classification	Unknown	PDF	N/A
Data Augmentation for Meta-Learning	Unknown	PDF	N/A
Signatured Deep Fictitious Play for Mean Field Games with Common Noise	Unknown	PDF	N/A
AlphaNet: Improved Training of Supernets with Alpha-Divergence	Unknown	PDF	N/A
Sparse within Sparse Gaussian Processes using Neighbor Information	Unknown	PDF	N/A
Slot Machines: Discovering Winning Combinations of Random Weights in Neural Networks	Unknown	PDF	N/A
Online Unrelated Machine Load Balancing with Predictions Revisited	Unknown	PDF	N/A
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results	Unknown	PDF	N/A
An Information-Geometric Distance on the Space of Tasks	Unknown	PDF	N/A
Memory-Efficient Pipeline-Parallel DNN Training	Unknown	PDF	N/A
Near-Optimal Confidence Sequences for Bounded Random Variables	Unknown	PDF	N/A
Personalized Federated Learning using Hypernetworks	Unknown	PDF	N/A
GLSearch: Maximum Common Subgraph Detection via Learning to Search	Unknown	PDF	N/A
PAC-Learning for Strategic Classification	Unknown	PDF	N/A
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning	Unknown	PDF	N/A
GraphDF: A Discrete Flow Model for Molecular Graph Generation	Unknown	PDF	N/A
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces	Unknown	PDF	N/A
The Power of Adaptivity for Stochastic Submodular Cover	Unknown	PDF	N/A
Decomposable Submodular Function Minimization via Maximum Flow	Unknown	PDF	N/A
MC-LSTM: Mass-Conserving LSTM	Unknown	PDF	N/A
Sliced Iterative Normalizing Flows	Unknown	PDF	N/A
Matrix Sketching for Secure Collaborative Machine Learning	Unknown	PDF	N/A
Analysis of stochastic Lanczos quadrature for spectrum approximation	Unknown	PDF	N/A
Principal Component Hierarchy for Sparse Quadratic Programs	Unknown	PDF	N/A
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks	Unknown	PDF	N/A
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning	Unknown	PDF	N/A
Multi-Receiver Online Bayesian Persuasion	Unknown	PDF	N/A
Equivariant Networks for Pixelized Spheres	Unknown	PDF	N/A
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification	Unknown	PDF	N/A
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise	Unknown	PDF	N/A
Training Recurrent Neural Networks via Forward Propagation Through Time	Unknown	PDF	N/A
Fast Sketching of Polynomial Kernels of Polynomial Degree	Unknown	PDF	N/A
Differentiable Spatial Planning using Transformers	Unknown	PDF	N/A
Dropout: Explicit Forms and Capacity Control	Unknown	PDF	N/A
Strategic Classification in the Dark	Unknown	PDF	N/A
Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness	Unknown	PDF	N/A
Autoencoding Under Normalization Constraints	Unknown	PDF	N/A
Differentially Private Correlation Clustering	Unknown	PDF	N/A
Variational Empowerment as Representation Learning for Goal-Conditioned Reinforcement Learning	Unknown	PDF	N/A
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes	Unknown	PDF	N/A
Consistent Nonparametric Methods for Network Assisted Covariate Estimation	Unknown	PDF	N/A
How could Neural Networks understand Programs?	Unknown	PDF	N/A
Conjugate Energy-Based Models	Unknown	PDF	N/A
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface	Unknown	PDF	N/A
Incentivizing Compliance with Algorithmic Instruments	Unknown	PDF	N/A
Pure Exploration and Regret Minimization in Matching Bandits	Unknown	PDF	N/A
Offline Reinforcement Learning with Pseudometric Learning	Unknown	PDF	N/A
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks	Unknown	PDF	N/A
Contrastive Learning Inverts the Data Generating Process	Unknown	PDF	N/A
Scalable Normalizing Flows for Permutation Invariant Densities	Unknown	PDF	N/A
A statistical perspective on distillation	Unknown	PDF	N/A
NeRF-VAE: A Geometry Aware 3D Scene Generative Model	Unknown	PDF	N/A
Alternative Microfoundations for Strategic Classification	Unknown	PDF	N/A
On-Policy Deep Reinforcement Learning for the Average-Reward Criterion	Unknown	PDF	N/A
Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination	Unknown	PDF	N/A
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering	Unknown	PDF	N/A
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation	Unknown	PDF	N/A
Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections	Unknown	PDF	N/A
One Pass Late Fusion Multi-view Clustering	Unknown	PDF	N/A
The Heavy-Tail Phenomenon in SGD	Unknown	PDF	N/A
Guided Exploration with Proximal Policy Optimization using a Single Demonstration	Unknown	PDF	N/A
Monotonic Robust Policy Optimization with Model Discrepancy	Unknown	PDF	N/A
An Identifiable Double VAE For Disentangled Representations	Unknown	PDF	N/A
A Framework for Private Matrix Analysis in Sliding Window Model	Unknown	PDF	N/A
Unsupervised Representation Learning via Neural Activation Coding	Unknown	PDF	N/A
Modeling Hierarchical Structures with Continuous Recursive Neural Networks	Unknown	PDF	N/A
Decoupling Exploration and Exploitation for Meta-Reinforcement Learning without Sacrifices	Unknown	PDF	N/A
WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points	Unknown	PDF	N/A
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play	Unknown	PDF	N/A
Interpreting and Disentangling Feature Components of Various Complexity from DNNs	Unknown	PDF	N/A
Neural Tangent Generalization Attacks	Unknown	PDF	N/A
Provable Robustness of Adversarial Training for Learning Halfspaces with Noise	Unknown	PDF	N/A
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain	Unknown	PDF	N/A
Efficient Training of Robust Decision Trees Against Adversarial Examples	Unknown	PDF	N/A
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting	Unknown	PDF	N/A
Quantum algorithms for reinforcement learning with a generative model	Unknown	PDF	N/A
Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training	Unknown	PDF	N/A
Sharper Generalization Bounds for Clustering	Unknown	PDF	N/A
An exact solver for the Weston-Watkins SVM subproblem	Unknown	PDF	N/A
Relative Deviation Margin Bounds	Unknown	PDF	N/A
12-Lead ECG Reconstruction via Koopman Operators	Unknown	PDF	N/A
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning	Unknown	PDF	N/A
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies	Unknown	PDF	N/A
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning	Unknown	PDF	N/A
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture	Unknown	PDF	N/A
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling	Unknown	PDF	N/A
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization	Unknown	PDF	N/A
Projection techniques to update the truncated SVD of evolving matrices with applications	Unknown	PDF	N/A
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning	Unknown	PDF	N/A
A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning	Unknown	PDF	N/A
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs	Unknown	PDF	N/A
Interpretable Stability Bounds for Spectral Graph Filters	Unknown	PDF	N/A
DORO: Distributional and Outlier Robust Optimization	Unknown	PDF	N/A
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding	Unknown	PDF	N/A
Parallel tempering on optimized paths	Unknown	PDF	N/A
Elementary superexpressive activations	Unknown	PDF	N/A
Safe Reinforcement Learning Using Advantage-Based Intervention	Unknown	PDF	N/A
Train simultaneously, generalize better: Stability of gradient-based minimax learners	Unknown	PDF	N/A
Fundamental Tradeoffs in Distributionally Adversarial Training	Unknown	PDF	N/A
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning	Unknown	PDF	N/A
Large Scale Private Learning via Low-rank Reparametrization	Unknown	PDF	N/A
Learning and Planning in Average-Reward Markov Decision Processes	Unknown	PDF	N/A
WILDS: A Benchmark of in-the-Wild Distribution Shifts	Unknown	PDF	N/A
Optimal Complexity in Decentralized Training	Unknown	PDF	N/A
Privacy-Preserving Video Classification with Convolutional Neural Networks	Unknown	PDF	N/A
Best Arm Identification in Graphical Bilinear Bandits	Unknown	PDF	N/A
Detecting Rewards Deterioration in Episodic Reinforcement Learning	Unknown	PDF	N/A
Data-Free Knowledge Distillation for Heterogeneous Federated Learning	Unknown	PDF	N/A
HAWQ-V3: Dyadic Neural Network Quantization	Unknown	PDF	N/A
Parameterless Transductive Feature Re-representation for Few-Shot Learning	Unknown	PDF	N/A
Momentum Residual Neural Networks	Unknown	PDF	N/A
Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers	Unknown	PDF	N/A
Evolving Attention with Residual Convolutions	Unknown	PDF	N/A
Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch)	Unknown	PDF	N/A
Exponentially Many Local Minima in Quantum Neural Networks	Unknown	PDF	N/A
Instance-Optimal Compressed Sensing via Posterior Sampling	Unknown	PDF	N/A
Integer Programming for Causal Structure Learning in the Presence of Latent Variables	Unknown	PDF	N/A
On Estimation in Latent Variable Models	Unknown	PDF	N/A
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data	Unknown	PDF	N/A
Learning Online Algorithms with Distributional Advice	Unknown	PDF	N/A
World Model as a Graph: Learning Latent Landmarks for Planning	Unknown	PDF	N/A
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks	Unknown	PDF	N/A
EfficientNetV2: Smaller Models and Faster Training	Unknown	PDF	N/A
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach	Unknown	PDF	N/A
Enhancing Robustness of Neural Networks through Fourier Stabilization	Unknown	PDF	N/A
A Distribution-dependent Analysis of Meta Learning	Unknown	PDF	N/A
Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions	Unknown	PDF	N/A
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study	Unknown	PDF	N/A
Deep Latent Graph Matching	Unknown	PDF	N/A
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution	Unknown	PDF	N/A
BASGD: Buffered Asynchronous SGD for Byzantine Learning	Unknown	PDF	N/A
Near-Optimal Linear Regression under Distribution Shift	Unknown	PDF	N/A
Explaining Time Series Predictions with Dynamic Masks	Unknown	PDF	N/A
Exploiting structured data for learning contagious diseases under incomplete testing	Unknown	PDF	N/A
Learning de-identified representations of prosody from raw audio	Unknown	PDF	N/A
Value-at-Risk Optimization with Gaussian Processes	Unknown	PDF	N/A
How rotational invariance of common kernels prevents generalization in high dimensions	Unknown	PDF	N/A
Locally Adaptive Label Smoothing Improves Predictive Churn	Unknown	PDF	N/A
RNNRepair: Automatic RNN Repair via Model-based Analysis	Unknown	PDF	N/A
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning	Unknown	PDF	N/A
Training Data Subset Selection for Regression with Controlled Generalization Error	Unknown	PDF	N/A
Beyond $log^2(T)$ regret for decentralized bandits in matching markets	Unknown	PDF	N/A
Few-Shot Conformal Prediction with Auxiliary Tasks	Unknown	PDF	N/A
Quantization Algorithms for Random Fourier Features	Unknown	PDF	N/A
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization	Unknown	PDF	N/A
PID Accelerated Value Iteration Algorithm	Unknown	PDF	N/A
Active Learning for Distributionally Robust Level-Set Estimation	Unknown	PDF	N/A
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data	Unknown	PDF	N/A
Offline Meta-Reinforcement Learning with Advantage Weighting	Unknown	PDF	N/A
Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization	Unknown	PDF	N/A
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming	Unknown	PDF	N/A
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning	Unknown	PDF	N/A
Don’t Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification	Unknown	PDF	N/A
Matrix Completion with Model-free Weighting	Unknown	PDF	N/A
Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality	Unknown	PDF	N/A
Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction	Unknown	PDF	N/A
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning	Unknown	PDF	N/A
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability	Unknown	PDF	N/A
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics	Unknown	PDF	N/A
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels	Unknown	PDF	N/A
The Lipschitz Constant of Self-Attention	Unknown	PDF	N/A
SGLB: Stochastic Gradient Langevin Boosting	Unknown	PDF	N/A
Training data-efficient image transformers & distillation through attention	Unknown	PDF	N/A
Object Segmentation Without Labels with Large-Scale Generative Models	Unknown	PDF	N/A
Regularized Submodular Maximization at Scale	Unknown	PDF	N/A
Average-Reward Off-Policy Policy Evaluation with Function Approximation	Unknown	PDF	N/A
AutoSampling: Search for Effective Data Sampling Schedules	Unknown	PDF	N/A
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies	Unknown	PDF	N/A
Lower-Bounded Proper Losses for Weakly Supervised Classification	Unknown	PDF	N/A
Differentially Private Densest Subgraph Detection	Unknown	PDF	N/A
Domain Generalization using Causal Matching	Unknown	PDF	N/A
Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing	Unknown	PDF	N/A
Theory of Spectral Method for Union of Subspaces-Based Random Geometry Graph	Unknown	PDF	N/A
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning	Unknown	PDF	N/A
Probabilistic Programs with Stochastic Conditioning	Unknown	PDF	N/A
Inverse Decision Modeling: Learning Interpretable Representations of Behavior	Unknown	PDF	N/A
How Do Adam and Training Strategies Help BNNs Optimization	Unknown	PDF	N/A
Coded-InvNet for Resilient Prediction Serving Systems	Unknown	PDF	N/A
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths	Unknown	PDF	N/A
Asymmetric Loss Functions for Learning with Noisy Labels	Unknown	PDF	N/A
Model-Free Reinforcement Learning: from Clipped Pseudo-Regret to Sample Complexity	Unknown	PDF	N/A
Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning	Unknown	PDF	N/A
Breaking the Limits of Message Passing Graph Neural Networks	Unknown	PDF	N/A
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning	Unknown	PDF	N/A
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling	Unknown	PDF	N/A
Continuous-time Model-based Reinforcement Learning	Unknown	PDF	N/A
UCB Momentum Q-learning: Correcting the bias without forgetting	Unknown	PDF	N/A
Differentially-Private Clustering of Easy Instances	Unknown	PDF	N/A
Online Graph Dictionary Learning	Unknown	PDF	N/A
Off-Belief Learning	Unknown	PDF	N/A
Approximation Theory Based Methods for RKHS Bandits	Unknown	PDF	N/A
Fast active learning for pure exploration in reinforcement learning	Unknown	PDF	N/A
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces	Unknown	PDF	N/A
K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets	Unknown	PDF	N/A
Unsupervised Skill Discovery with Bottleneck Option Learning	Unknown	PDF	N/A
One-sided Frank-Wolfe algorithms for saddle problems	Unknown	PDF	N/A
Meta-Learning Bidirectional Update Rules	Unknown	PDF	N/A
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message	Unknown	PDF	N/A
Concentric mixtures of Mallows models for top-$k$ rankings: sampling and identifiability	Unknown	PDF	N/A
Homomorphic Sensing: Sparsity and Noise	Unknown	PDF	N/A
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model	Unknown	PDF	N/A
Bias-Robust Bayesian Optimization via Dueling Bandits	Unknown	PDF	N/A
Distributed Nystr\"{o}m Kernel Learning with Communications	Unknown	PDF	N/A
Equivariant message passing for the prediction of tensorial properties and molecular spectra	Unknown	PDF	N/A
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training	Unknown	PDF	N/A
SagaNet: A Small Sample Gated Network for Pediatric Cancer Diagnosis	Unknown	PDF	N/A
GBHT: Gradient Boosting Histogram Transform for Density Estimation	Unknown	PDF	N/A
Imitation by Predicting Observations	Unknown	PDF	N/A
Optimal Streaming Algorithms for Multi-Armed Bandits	Unknown	PDF	N/A
On the Random Conjugate Kernel and Neural Tangent Kernel	Unknown	PDF	N/A
Approximating a Distribution Using Weight Queries	Unknown	PDF	N/A
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization	Unknown	PDF	N/A
Revisiting Peng's Q($\lambda$) for Modern Reinforcement Learning	Unknown	PDF	N/A
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning	Unknown	PDF	N/A
Learning Optimal Auctions with Correlated Valuations from Samples	Unknown	PDF	N/A
Soft then Hard: Rethinking the Quantization in Neural Image Compression	Unknown	PDF	N/A
Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures	Unknown	PDF	N/A
Grid-Functioned Neural Networks	Unknown	PDF	N/A
SMG: A Shuffling Gradient-Based Method with Momentum	Unknown	PDF	N/A
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC	Unknown	PDF	N/A
PAPRIKA: Private Online False Discovery Rate Control	Unknown	PDF	N/A
Near-Optimal Model-Free Reinforcement Learning in Non-Stationary Episodic MDPs	Unknown	PDF	N/A
Generative Causal Explanations for Graph Neural Networks	Unknown	PDF	N/A
DAGs with No Curl: An Efficient DAG Structure Learning Approach	Unknown	PDF	N/A
Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits	Unknown	PDF	N/A
Learning Curves for Analysis of Deep Networks	Unknown	PDF	N/A
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning	Unknown	PDF	N/A
Boosting the Throughput and Accelerator Utilization of Specialized CNN Inference Beyond Increasing Batch Size	Unknown	PDF	N/A
Information Obfuscation of Graph Neural Networks	Unknown	PDF	N/A
Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design	Unknown	PDF	N/A
LieTransformer: Equivariant Self-Attention for Lie Groups	Unknown	PDF	N/A
Decentralized Riemannian Gradient Descent on the Stiefel Manifold	Unknown	PDF	N/A
AutoAttend: Automated Attention Representation Search	Unknown	PDF	N/A
Robust Asymmetric Learning in POMDPs	Unknown	PDF	N/A
High-Dimensional Gaussian Process Inference with Derivatives	Unknown	PDF	N/A
Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning	Unknown	PDF	N/A
Multiplying Matrices Without Multiplying	Unknown	PDF	N/A
Asymptotics of Ridge Regression in Convolutional Models	Unknown	PDF	N/A
Stochastic Sign Descent Methods: New Algorithms and Better Theory	Unknown	PDF	N/A
Learning Binary Decision Trees by Argmin Differentiation	Unknown	PDF	N/A
Analyzing the tree-layer structure of Deep Forests	Unknown	PDF	N/A
Achieving Near Instance-Optimality and Minimax-Optimality in Stochastic and Adversarial Linear Bandits Simultaneously	Unknown	PDF	N/A
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms	Unknown	PDF	N/A
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss	Unknown	PDF	N/A
High-Performance Large-Scale Image Recognition Without Normalization	Unknown	PDF	N/A
Federated Continual Learning with Weighted Inter-client Transfer	Unknown	PDF	N/A
Privacy-Preserving Feature Selection with Secure Multiparty Computation	Unknown	PDF	N/A
Learning Bounds for Open-Set Learning	Unknown	PDF	N/A
Nonparametric Hamiltonian Monte Carlo	Unknown	PDF	N/A
Parameter-free Locally Accelerated Conditional Gradients	Unknown	PDF	N/A
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model	Unknown	PDF	N/A
Learning Intra-Batch Connections for Deep Metric Learning	Unknown	PDF	N/A
Graph Mixture Density Networks	Unknown	PDF	N/A
Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards	Unknown	PDF	N/A
Unsupervised Learning of Visual 3D Keypoints for Control	Unknown	PDF	N/A
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning	Unknown	PDF	N/A
Versatile Verification of Tree Ensembles	Unknown	PDF	N/A
Bayesian Optimistic Optimisation with Exponentially Decaying Regret	Unknown	PDF	N/A
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach	Unknown	PDF	N/A
Robust Learning-Augmented Caching: An Experimental Study	Unknown	PDF	N/A
Phase Transitions, Distance Functions, and Implicit Neural Representations	Unknown	PDF	N/A
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport	Unknown	PDF	N/A
Differentially Private Sliced Wasserstein Distance	Unknown	PDF	N/A
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time	Unknown	PDF	N/A
Convex Regularization in Monte-Carlo Tree Search	Unknown	PDF	N/A
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation	Unknown	PDF	N/A
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations	Unknown	PDF	N/A
SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks	Unknown	PDF	N/A
Self-Tuning for Data-Efficient Deep Learning	Unknown	PDF	N/A
Supervised Tree-Wasserstein Distance	Unknown	PDF	N/A
Robust Learning for Data Poisoning Attacks	Unknown	PDF	N/A
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration	Unknown	PDF	N/A
Practical and Private (Deep) Learning Without Sampling or Shuffling	Unknown	PDF	N/A
A New Formalism, Method and Open Issues for Zero-Shot Coordination	Unknown	PDF	N/A
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks	Unknown	PDF	N/A
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization	Unknown	PDF	N/A
UnICORNN: A recurrent model for learning very long time dependencies	Unknown	PDF	N/A
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo	Unknown	PDF	N/A
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation	Unknown	PDF	N/A
Leveraging Language to Learn Program Abstractions and Search Heuristics	Unknown	PDF	N/A
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers	Unknown	PDF	N/A
Making transport more robust and interpretable by moving data through a small number of anchor points	Unknown	PDF	N/A
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances	Unknown	PDF	N/A
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes	Unknown	PDF	N/A
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics	Unknown	PDF	N/A
Online Optimization in Games via Control Theory: Connecting Regret, Passivity and Poincaré Recurrence	Unknown	PDF	N/A
Strategic Classification Made Practical	Unknown	PDF	N/A
Learning to Weight Imperfect Demonstrations	Unknown	PDF	N/A
Narrow Margins: Classification, Margins and Fat Tails	Unknown	PDF	N/A
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach	Unknown	PDF	N/A
Grey-box Extraction of Natural Language Models	Unknown	PDF	N/A
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers	Unknown	PDF	N/A
Deep Generative Learning via Schrödinger Bridge	Unknown	PDF	N/A
Multiplicative Noise and Heavy Tails in Stochastic Optimization	Unknown	PDF	N/A
Not All Memories are Created Equal: Learning to Forget by Expiring	Unknown	PDF	N/A
Large-Margin Contrastive Learning with Distance Polarization Regularizer	Unknown	PDF	N/A
Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models	Unknown	PDF	N/A
Reward Identification in Inverse Reinforcement Learning	Unknown	PDF	N/A
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes	Unknown	PDF	N/A
PixelTransformer: Sample Conditioned Signal Generation	Unknown	PDF	N/A
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings	Unknown	PDF	N/A
Dichotomous Optimistic Search to Quantify Human Perception	Unknown	PDF	N/A
Adversarial Option-Aware Hierarchical Imitation Learning	Unknown	PDF	N/A
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders	Unknown	PDF	N/A
Randomized Exploration in Reinforcement Learning with General Value Function Approximation	Unknown	PDF	N/A
Adversarial Combinatorial Bandits with General Non-linear Reward Functions	Unknown	PDF	N/A
APS: Active Pretraining with Successor Features	Unknown	PDF	N/A
Zero-Shot Knowledge Distillation from a Decision-Based Black-Box Model	Unknown	PDF	N/A
Functional Space Analysis of Local GAN Convergence	Unknown	PDF	N/A
Deciding What to Learn: A Rate-Distortion Approach	Unknown	PDF	N/A
Neural Rough Differential Equations for Long Time Series	Unknown	PDF	N/A
Cross-domain Imitation from Observations	Unknown	PDF	N/A
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees	Unknown	PDF	N/A
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization	Unknown	PDF	N/A
Winograd Algorithm for AdderNet	Unknown	PDF	N/A
Global Optimality Beyond Two Layers: Training Deep ReLU Networks via Convex Programs	Unknown	PDF	N/A
Provably Strict Generalisation Benefit for Equivariant Models	Unknown	PDF	N/A
Continuous Coordination As a Realistic Scenario for Lifelong Learning	Unknown	PDF	N/A
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL	Unknown	PDF	N/A
Trees with Attention for Set Prediction Tasks	Unknown	PDF	N/A
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport	Unknown	PDF	N/A
Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data	Unknown	PDF	N/A
Barlow Twins: Self-Supervised Learning via Redundancy Reduction	Unknown	PDF	N/A
Differentially Private Query Release Through Adaptive Projection	Unknown	PDF	N/A
Oblivious Sketching for Logistic Regression	Unknown	PDF	N/A
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition	Unknown	PDF	N/A
Learning from Similarity-Confidence Data	Unknown	PDF	N/A
Label-Only Membership Inference Attacks	Unknown	PDF	N/A
Self-Improved Retrosynthetic Planning	Unknown	PDF	N/A
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance	Unknown	PDF	N/A
Representational aspects of depth and conditioning in normalizing flows	Unknown	PDF	N/A
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks	Unknown	PDF	N/A
Probabilistic Generating Circuits	Unknown	PDF	N/A
KNAS: Green Neural Architecture Search	Unknown	PDF	N/A
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm	Unknown	PDF	N/A
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling	Unknown	PDF	N/A
An Integer Linear Programming Framework for Mining Constraints from Data	Unknown	PDF	N/A
Sparsity-Agnostic Lasso Bandit	Unknown	PDF	N/A
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search	Unknown	PDF	N/A
Federated Composite Optimization	Unknown	PDF	N/A
Randomized Algorithms for Submodular Function Maximization with a $k$-System Constraint	Unknown	PDF	N/A
Linear Transformers Are Secretly Fast Weight Programmers	Unknown	PDF	N/A
High-dimensional Experimental Design and Kernel Bandits	Unknown	PDF	N/A
LAMDA: Label Matching Deep Domain Adaptation	Unknown	PDF	N/A
Diffusion Source Identification on Networks with Statistical Confidence	Unknown	PDF	N/A
Break-It-Fix-It: Unsupervised Learning for Program Repair	Unknown	PDF	N/A
Variational Data Assimilation with a Learned Inverse Observation Operator	Unknown	PDF	N/A
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization	Unknown	PDF	N/A
Improved, Deterministic Smoothing for L_1 Certified Robustness	Unknown	PDF	N/A
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization	Unknown	PDF	N/A
Joining datasets via data augmentation in the label space for neural networks	Unknown	PDF	N/A
Explore Visual Concept Formation for Image Classification	Unknown	PDF	N/A
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting	Unknown	PDF	N/A
Scalable Certified Segmentation via Randomized Smoothing	Unknown	PDF	N/A
Prioritized Level Replay	Unknown	PDF	N/A
Efficient Differentiable Simulation of Articulated Bodies	Unknown	PDF	N/A
The Logical Options Framework	Unknown	PDF	N/A
Self-Paced Context Evaluation for Contextual Reinforcement Learning	Unknown	PDF	N/A
Decomposed Mutual Information Estimation for Contrastive Representation Learning	Unknown	PDF	N/A
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization	Unknown	PDF	N/A
Objective Bound Conditional Gaussian Process for Bayesian Optimization	Unknown	PDF	N/A
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation	Unknown	PDF	N/A
Taylor Expansion of Discount Factors	Unknown	PDF	N/A
Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization	Unknown	PDF	N/A
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging	Unknown	PDF	N/A
Let's Agree to Degree: Comparing Graph Convolutional Networks in the Message-Passing Framework	Unknown	PDF	N/A
Counterfactual Credit Assignment in Model-Free Reinforcement Learning	Unknown	PDF	N/A
Temporal Difference Learning as Gradient Splitting	Unknown	PDF	N/A
Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins	Unknown	PDF	N/A
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs	Unknown	PDF	N/A
Multi-Task Reinforcement Learning with Context-based Representations	Unknown	PDF	N/A
Muesli: Combining Improvements in Policy Optimization	Unknown	PDF	N/A
Feature Clustering for Support Identification in Extreme Regions	Unknown	PDF	N/A
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization	Unknown	PDF	N/A
Newton Method over Networks is Fast up to the Statistical Precision	Unknown	PDF	N/A
From Local Structures to Size Generalization in Graph Neural Networks	Unknown	PDF	N/A
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning	Unknown	PDF	N/A
Towards Open Ad Hoc Teamwork Using Graph-based Policy Learning	Unknown	PDF	N/A
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections	Unknown	PDF	N/A
A Novel Method to Solve Neural Knapsack Problems	Unknown	PDF	N/A
Self Normalizing Flows	Unknown	PDF	N/A
Sparsifying Networks via Subdifferential Inclusion	Unknown	PDF	N/A
Label Distribution Learning Machine	Unknown	PDF	N/A
Stabilizing Equilibrium Models by Jacobian Regularization	Unknown	PDF	N/A
Finding the Stochastic Shortest Path with Low Regret: the Adversarial Cost and Unknown Transition Case	Unknown	PDF	N/A
Gaussian Process-Based Real-Time Learning for Safety Critical Applications	Unknown	PDF	N/A
Making Paper Reviewing Robust to Bid Manipulation Attacks	Unknown	PDF	N/A
Watermarking Deep Neural Networks with Greedy Residuals	Unknown	PDF	N/A
Cumulants of Hawkes Processes are Robust to Observation Noise	Unknown	PDF	N/A
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization	Unknown	PDF	N/A
Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity	Unknown	PDF	N/A
Ditto: Fair and Robust Federated Learning Through Personalization	Unknown	PDF	N/A
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models	Unknown	PDF	N/A
Multi-Dimensional Classification via Sparse Label Encoding	Unknown	PDF	N/A
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning	Unknown	PDF	N/A
Annealed Flow Transport Monte Carlo	Unknown	PDF	N/A
Active Slices for Sliced Stein Discrepancy	Unknown	PDF	N/A
Partially Observed Exchangeable Modeling	Unknown	PDF	N/A
Finding k in Latent $k-$ polytope	Unknown	PDF	N/A
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations	Unknown	PDF	N/A
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data	Unknown	PDF	N/A
Deeply-Debiased Off-Policy Interval Estimation	Unknown	PDF	N/A
On Monotonic Linear Interpolation of Neural Network Parameters	Unknown	PDF	N/A
Reinforcement Learning with Prototypical Representations	Unknown	PDF	N/A
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length	Unknown	PDF	N/A
GeomCA: Geometric Evaluation of Data Representations	Unknown	PDF	N/A
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture	Unknown	PDF	N/A
Graph Contrastive Learning Automated	Unknown	PDF	N/A
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection	Unknown	PDF	N/A
Understanding the Dynamics of Gradient Flow in Overparameterized Linear models	Unknown	PDF	N/A
On Robust Mean Estimation under Coordinate-level Corruption	Unknown	PDF	N/A
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity	Unknown	PDF	N/A
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP	Unknown	PDF	N/A
Perceiver: General Perception with Iterative Attention	Unknown	PDF	N/A
Delving into Deep Imbalanced Regression	Unknown	PDF	N/A
Scaling Properties of Deep Residual Networks	Unknown	PDF	N/A
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework	Unknown	PDF	N/A
Distributionally Robust Optimization with Markovian Data	Unknown	PDF	N/A
Understanding Instance-Level Label Noise: Disparate Impacts and Treatments	Unknown	PDF	N/A
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models	Unknown	PDF	N/A
On Proximal Policy Optimization's Heavy-tailed Gradients	Unknown	PDF	N/A
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline	Unknown	PDF	N/A
Model Fusion for Personalized Learning	Unknown	PDF	N/A
Density Constrained Reinforcement Learning	Unknown	PDF	N/A
Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing	Unknown	PDF	N/A
Z-GCNETs: Time Zigzags at Graph Convolutional Networks for Time Series Forecasting	Unknown	PDF	N/A
Near Optimal Reward-Free Reinforcement Learning	Unknown	PDF	N/A
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks	Unknown	PDF	N/A
Learning Gradient Fields for Molecular Conformation Generation	Unknown	PDF	N/A
Off-Policy Confidence Sequences	Unknown	PDF	N/A
Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits	Unknown	PDF	N/A
Finite mixture models do not reliably learn the number of components	Unknown	PDF	N/A
Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies	Unknown	PDF	N/A
Learning disentangled representations via product manifold projection	Unknown	PDF	N/A
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent	Unknown	PDF	N/A
Adapting to Delays and Data in Adversarial Multi-Armed Bandits	Unknown	PDF	N/A
ACE: Explaining cluster from an adversarial perspective	Unknown	PDF	N/A
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions	Unknown	PDF	N/A
Confidence-Budget Matching for Sequential Budgeted Learning	Unknown	PDF	N/A
Interactive Learning from Activity Description	Unknown	PDF	N/A
Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions	Unknown	PDF	N/A
Segmenting Hybrid Trajectories using Latent ODEs	Unknown	PDF	N/A
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling	Unknown	PDF	N/A
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free	Unknown	PDF	N/A
Stochastic Iterative Graph Matching	Unknown	PDF	N/A
Lipschitz normalization for self-attention layers with application to graph neural networks	Unknown	PDF	N/A
Inverse Constrained Reinforcement Learning	Unknown	PDF	N/A
Keyframe-Focused Visual Imitation Learning	Unknown	PDF	N/A
Learning in Nonzero-Sum Stochastic Games with Potentials	Unknown	PDF	N/A
The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning	Unknown	PDF	N/A
Function Contrastive Learning of Transferable Meta-Representations	Unknown	PDF	N/A
A New Representation of Successor Features for Transfer across Dissimilar Environments	Unknown	PDF	N/A
Generalized Doubly Reparameterized Gradient Estimators	Unknown	PDF	N/A
A Nullspace Property for Subspace-Preserving Recovery	Unknown	PDF	N/A
Self-supervised Graph-level Representation Learning with Local and Global Structure	Unknown	PDF	N/A
Probabilistic Sequential Shrinking: A Best Arm Identification Algorithm for Stochastic Bandits with Corruptions	Unknown	PDF	N/A
Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams	Unknown	PDF	N/A
Towards Rigorous Interpretations: a Formalisation of Feature Attribution	Unknown	PDF	N/A
Dynamic Planning and Learning under Recovering Rewards	Unknown	PDF	N/A
Marginal Contribution Feature Importance - an Axiomatic Approach for Explaining Data	Unknown	PDF	N/A
Geometric convergence of elliptical slice sampling	Unknown	PDF	N/A
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training	Unknown	PDF	N/A
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information	Unknown	PDF	N/A
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty	Unknown	PDF	N/A
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision	Unknown	PDF	N/A
Modelling Behavioural Diversity for Learning in Open-Ended Games	Unknown	PDF	N/A
Active Deep Probabilistic Subsampling	Unknown	PDF	N/A
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism	Unknown	PDF	N/A
Valid Causal Inference with (Some) Invalid Instruments	Unknown	PDF	N/A
Finite-Sample Analysis of Off-Policy Natural Actor-Critic Algorithm	Unknown	PDF	N/A
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning	Unknown	PDF	N/A
Disambiguation of Weak Supervision leading to Exponential Convergence rates	Unknown	PDF	N/A
Towards Practical Mean Bounds for Small Samples	Unknown	PDF	N/A
Projection Robust Wasserstein Barycenters	Unknown	PDF	N/A
Reinforcement Learning for Cost-Aware Markov Decision Processes	Unknown	PDF	N/A
Learning a Universal Template for Few-shot Dataset Generalization	Unknown	PDF	N/A
Better Training using Weight-Constrained Stochastic Dynamics	Unknown	PDF	N/A
Leveraging Sparse Linear Layers for Debuggable Deep Networks	Unknown	PDF	N/A
Logarithmic Regret for Reinforcement Learning with Linear Function Approximation	Unknown	PDF	N/A
Dataset Condensation with Differentiable Siamese Augmentation	Unknown	PDF	N/A
Consistent regression when oblivious outliers overwhelm	Unknown	PDF	N/A
Learning Diverse-Structured Networks for Adversarial Robustness	Unknown	PDF	N/A
A Unified Lottery Ticket Hypothesis for Graph Neural Networks	Unknown	PDF	N/A
Approximation Theory of Convolutional Architectures for Time Series Modelling	Unknown	PDF	N/A
Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Bias-Free Scalable Gaussian Processes via Randomized Truncations	Unknown	PDF	N/A
Provably Efficient Learning of Transferable Rewards	Unknown	PDF	N/A
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation	Unknown	PDF	N/A
Differentially Private Quantiles	Unknown	PDF	N/A
Training Graph Neural Networks with 1000 Layers	Unknown	PDF	N/A
Hyperparameter Selection for Imitation Learning	Unknown	PDF	N/A
Active Feature Acquisition with Generative Surrogate Models	Unknown	PDF	N/A
Machine Unlearning for Random Forests	Unknown	PDF	N/A
Improved OOD Generalization via Adversarial Training and Pretraing	Unknown	PDF	N/A
Learning from Biased Data: A Semi-Parametric Approach	Unknown	PDF	N/A
Provably End-to-end Label-noise Learning without Anchor Points	Unknown	PDF	N/A
Implicit Bias of Linear RNNs	Unknown	PDF	N/A
Combinatorial Blocking Bandits with Stochastic Delays	Unknown	PDF	N/A
Offline Contextual Bandits with Overparameterized Models	Unknown	PDF	N/A
Conformal prediction interval for dynamic time-series	Unknown	PDF	N/A
Kernel Continual Learning	Unknown	PDF	N/A
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization	Unknown	PDF	N/A
Dueling Convex Optimization	Unknown	PDF	N/A
Learning and Planning in Complex Action Spaces	Unknown	PDF	N/A
SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels	Unknown	PDF	N/A
Adversarial Dueling Bandits	Unknown	PDF	N/A
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models	Unknown	PDF	N/A
Improving Predictors via Combination Across Diverse Task Categories	Unknown	PDF	N/A
Is Pessimism Provably Efficient for Offline RL?	Unknown	PDF	N/A
A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions	Unknown	PDF	N/A
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees	Unknown	PDF	N/A
Understanding self-supervised learning dynamics without contrastive pairs	Unknown	PDF	N/A
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent	Unknown	PDF	N/A
Boosting for Online Convex Optimization	Unknown	PDF	N/A
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning	Unknown	PDF	N/A
Model-Targeted Poisoning Attacks with Provable Convergence	Unknown	PDF	N/A
Statistical Estimation from Dependent Data	Unknown	PDF	N/A
Correcting Exposure Bias for Link Recommendation	Unknown	PDF	N/A
A Probabilistic Approach to Neural Network Pruning	Unknown	PDF	N/A
Diversity Actor-Critic: Sample-Aware Entropy Regularization for Sample-Efficient Exploration	Unknown	PDF	N/A
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL	Unknown	PDF	N/A
Discretization Drift in Two-Player Games	Unknown	PDF	N/A
Optimizing persistent homology based functions	Unknown	PDF	N/A
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment	Unknown	PDF	N/A
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data	Unknown	PDF	N/A
Whittle Networks: A Deep Likelihood Model for Time Series	Unknown	PDF	N/A
AGENT: A Benchmark for Core Psychological Reasoning	Unknown	PDF	N/A
Moreau-Yosida $f$-divergences	Unknown	PDF	N/A
Accurate Post Training Quantization With Small Calibration Sets	Unknown	PDF	N/A
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis	Unknown	PDF	N/A
Model-Based Reinforcement Learning via Latent-Space Collocation	Unknown	PDF	N/A
Learning Node Representations Using Stationary Flow Prediction on Large Payment and Cash Transaction Networks	Unknown	PDF	N/A
ChaCha for Online AutoML	Unknown	PDF	N/A
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees	Unknown	PDF	N/A
SinIR: Efficient General Image Manipulation with Single Image Reconstruction	Unknown	PDF	N/A
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning	Unknown	PDF	N/A
Budgeted Heterogeneous Treatment Effect Estimation	Unknown	PDF	N/A
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information	Unknown	PDF	N/A
Confidence Scores Make Instance-dependent Label-noise Learning Possible	Unknown	PDF	N/A
Whitening for Self-Supervised Representation Learning	Unknown	PDF	N/A
Principled Simplicial Neural Networks for Trajectory Prediction	Unknown	PDF	N/A
Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation	Unknown	PDF	N/A
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm	Unknown	PDF	N/A
Top-k eXtreme Contextual Bandits with Arm Hierarchy	Unknown	PDF	N/A
Inference for Network Regression Models with Community Structure	Unknown	PDF	N/A
The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks	Unknown	PDF	N/A
BORE: Bayesian Optimization by Density-Ratio Estimation	Unknown	PDF	N/A
PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data	Unknown	PDF	N/A
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks	Unknown	PDF	N/A
A Discriminative Technique for Multiple-Source Adaptation	Unknown	PDF	N/A
Online Selection Problems against Constrained Adversary	Unknown	PDF	N/A
Fairness for Image Generation with Uncertain Sensitive Attributes	Unknown	PDF	N/A
Robust Policy Gradient against Strong Data Corruption	Unknown	PDF	N/A
Robust Pure Exploration in Linear Bandits with Limited Budget	Unknown	PDF	N/A
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge	Unknown	PDF	N/A
RRL: Resnet as representation for Reinforcement Learning	Unknown	PDF	N/A
Post-selection inference with HSIC-Lasso	Unknown	PDF	N/A
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds	Unknown	PDF	N/A
Aggregating From Multiple Target-Shifted Sources	Unknown	PDF	N/A
A General Framework For Detecting Anomalous Inputs to DNN Classifiers	Unknown	PDF	N/A
A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network	Unknown	PDF	N/A
Value Alignment Verification	Unknown	PDF	N/A
Towards Distraction-Robust Active Visual Tracking	Unknown	PDF	N/A
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates	Unknown	PDF	N/A
Fairness and Bias in Online Selection	Unknown	PDF	N/A
Model Performance Scaling with Multiple Data Sources	Unknown	PDF	N/A
Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models	Unknown	PDF	N/A
Online Learning in Unknown Markov Games	Unknown	PDF	N/A
Revealing the Structure of Deep Neural Networks via Convex Duality	Unknown	PDF	N/A
Uncertainty Principles of Encoding GANs	Unknown	PDF	N/A
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation	Unknown	PDF	N/A
Understanding and Mitigating Accuracy Disparity in Regression	Unknown	PDF	N/A
Megaverse: Simulating Embodied Agents at One Million Experiences per Second	Unknown	PDF	N/A
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems	Unknown	PDF	N/A
Cross-model Back-translated Distillation for Unsupervised Machine Translation	Unknown	PDF	N/A
Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing	Unknown	PDF	N/A
End-to-End Learning of Coherent Probabilistic Forecasts for Hierarchical Time Series	Unknown	PDF	N/A
Principal Bit Analysis: Autoencoding with Schur-Concave Loss	Unknown	PDF	N/A
Improved Algorithms for Agnostic Pool-based Active Classification	Unknown	PDF	N/A
Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering	Unknown	PDF	N/A
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise	Unknown	PDF	N/A
Differentially Private Bayesian Inference for Generalized Linear Models	Unknown	PDF	N/A
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games	Unknown	PDF	N/A
Generative Video Transformer: Can Objects be the Words?	Unknown	PDF	N/A
A Wasserstein Minimax Framework for Mixed Linear Regression	Unknown	PDF	N/A
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning	Unknown	PDF	N/A
On a Combination of Alternating Minimization and Nesterov's Momentum	Unknown	PDF	N/A
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification	Unknown	PDF	N/A
Sparse Bayesian Learning via Stepwise Regression	Unknown	PDF	N/A
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators	Unknown	PDF	N/A
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations	Unknown	PDF	N/A
Learning from Noisy Labels with No Change to the Training Process	Unknown	PDF	N/A
Bayesian Structural Adaptation for Continual Learning	Unknown	PDF	N/A
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot	Unknown	PDF	N/A
DriftSurf: Stable-State / Reactive-State Learning under Concept Drift	Unknown	PDF	N/A
Streaming and Distributed Algorithms for Robust Column Subset Selection	Unknown	PDF	N/A
Operationalizing Complex Causes: A Pragmatic View of Mediation	Unknown	PDF	N/A
Neural Feature Matching in Implicit 3D Representations	Unknown	PDF	N/A
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization	Unknown	PDF	N/A
MSA Transformer	Unknown	PDF	N/A
Heterogeneous Risk Minimization	Unknown	PDF	N/A
Variational Auto-Regressive Gaussian Processes for Continual Learning	Unknown	PDF	N/A
Group Fisher Pruning for Practical Network Compression	Unknown	PDF	N/A
How Important is the Train-Validation Split in Meta-Learning?	Unknown	PDF	N/A
Outlier-Robust Optimal Transport	Unknown	PDF	N/A
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing	Unknown	PDF	N/A
Consensus Control for Decentralized Deep Learning	Unknown	PDF	N/A
Mixed Nash Equilibria in the Adversarial Examples Game	Unknown	PDF	N/A
Active Covering	Unknown	PDF	N/A
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons	Unknown	PDF	N/A
Joint Online Learning and Decision-making via Dual Mirror Descent	Unknown	PDF	N/A
Attention is not all you need: pure attention loses rank doubly exponentially with depth	Unknown	PDF	N/A
Nonparametric Decomposition of Sparse Tensors	Unknown	PDF	N/A
Generalization Guarantees for Neural Architecture Search with Train-Validation Split	Unknown	PDF	N/A
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation	Unknown	PDF	N/A
Calibrate Before Use: Improving Few-shot Performance of Language Models	Unknown	PDF	N/A
I-BERT: Integer-only BERT Quantization	Unknown	PDF	N/A
A Language for Counterfactual Generative Models	Unknown	PDF	N/A
Thinking Like Transformers	Unknown	PDF	N/A
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry	Unknown	PDF	N/A
Multidimensional Scaling: Approximation and Complexity	Unknown	PDF	N/A
Discovering symbolic policies with deep reinforcement learning	Unknown	PDF	N/A
Learning from History for Byzantine Robust Optimization	Unknown	PDF	N/A
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling	Unknown	PDF	N/A
On-the-fly Rectification for Robust Large-Vocabulary Topic Inference	Unknown	PDF	N/A
Additive Error Guarantees for Weighted Low Rank Approximation	Unknown	PDF	N/A
Problem Dependent View on Structured Thresholding Bandit Problems	Unknown	PDF	N/A
Heterogeneity for the Win: One-Shot Federated Clustering	Unknown	PDF	N/A
Characterizing Structural Regularities of Labeled Data in Overparameterized Models	Unknown	PDF	N/A
Oneshot Differentially Private Top-k Selection	Unknown	PDF	N/A
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with √T Regret	Unknown	PDF	N/A
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference	Unknown	PDF	N/A
Unifying Vision-and-Language Tasks via Text Generation	Unknown	PDF	N/A
Explanations for Monotonic Classifiers.	Unknown	PDF	N/A
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs	Unknown	PDF	N/A
Measuring Robustness in Deep Learning Based Compressive Sensing	Unknown	PDF	N/A
Recovering AES Keys with a Deep Cold Boot Attack	Unknown	PDF	N/A
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks	Unknown	PDF	N/A
Optimal Counterfactual Explanations in Tree Ensembles	Unknown	PDF	N/A
Learning Neural Network Subspaces	Unknown	PDF	N/A
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers	Unknown	PDF	N/A
Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data	Unknown	PDF	N/A
Bayesian Deep Learning via Subnetwork Inference	Unknown	PDF	N/A
Solving high-dimensional parabolic PDEs using the tensor train format	Unknown	PDF	N/A
Diffusion Earth Mover's Distance and Distribution Embeddings	Unknown	PDF	N/A
Parallel and Flexible Sampling from Autoregressive Models via Langevin Dynamics	Unknown	PDF	N/A
A Tale of Two Efficient and Informative Negative Sampling Distributions	Unknown	PDF	N/A
Tractable structured natural-gradient descent using local parameterizations	Unknown	PDF	N/A
Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective	Unknown	PDF	N/A
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting	Unknown	PDF	N/A
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction	Unknown	PDF	N/A
Dynamic Balancing for Model Selection in Bandits and RL	Unknown	PDF	N/A
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition	Unknown	PDF	N/A
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks	Unknown	PDF	N/A
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups	Unknown	PDF	N/A
Neural Symbolic Regression that scales	Unknown	PDF	N/A
Label Inference Attacks from Log-loss Scores	Unknown	PDF	N/A
A Precise Performance Analysis of Support Vector Regression	Unknown	PDF	N/A
On Linear Identifiability of Learned Representations	Unknown	PDF	N/A
Generalizable Episodic Memory for Deep Reinforcement Learning	Unknown	PDF	N/A
Zoo-Tuning: Adaptive Transfer from A Zoo of Models	Unknown	PDF	N/A
Characterizing the Gap Between Actor-Critic and Policy Gradient	Unknown	PDF	N/A
DeepReDuce: ReLU Reduction for Fast Private Inference	Unknown	PDF	N/A
Learning to Generate Noise for Multi-Attack Robustness	Unknown	PDF	N/A
Globally-Robust Neural Networks	Unknown	PDF	N/A
MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space	Unknown	PDF	N/A
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification	Unknown	PDF	N/A
State Entropy Maximization with Random Encoders for Efficient Exploration	Unknown	PDF	N/A
EL-Attention: Memory Efficient Lossless Attention for Generation	Unknown	PDF	N/A
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression	Unknown	PDF	N/A
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training	Unknown	PDF	N/A
CountSketches, Feature Hashing and the Median of Three	Unknown	PDF	N/A
Improved Contrastive Divergence Training of Energy-Based Models	Unknown	PDF	N/A
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference	Unknown	PDF	N/A
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings	Unknown	PDF	N/A
Safe Reinforcement Learning with Linear Function Approximation	Unknown	PDF	N/A
Leveraged Weighted Loss for Partial Label Learning	Unknown	PDF	N/A
HyperHyperNetwork for the Design of Antenna Arrays	Unknown	PDF	N/A
Explainable Automated Graph Representation Learning with Hyperparameter Importance	Unknown	PDF	N/A
CARTL: Cooperative Adversarially-Robust Transfer Learning	Unknown	PDF	N/A
Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation	Unknown	PDF	N/A
MARINA: Faster Non-Convex Distributed Learning with Compression	Unknown	PDF	N/A
Parametric Graph for Unimodal Ranking Bandit	Unknown	PDF	N/A
No-regret Algorithms for Capturing Events in Poisson Point Processes	Unknown	PDF	N/A
Estimation and Quantization of Expected Persistence Diagrams	Unknown	PDF	N/A
Follow-the-Regularized-Leader Routes to Chaos in Routing Games	Unknown	PDF	N/A
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games	Unknown	PDF	N/A
Towards Understanding and Mitigating Social Biases in Language Models	Unknown	PDF	N/A
Unsupervised Co-part Segmentation through Assembly	Unknown	PDF	N/A
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models	Unknown	PDF	N/A
Implicit rate-constrained optimization of non-decomposable objectives	Unknown	PDF	N/A
To be Robust or to be Fair: Towards Fairness in Adversarial Training	Unknown	PDF	N/A
Neural Pharmacodynamic State Space Modeling	Unknown	PDF	N/A
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality	Unknown	PDF	N/A
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting	Unknown	PDF	N/A
Reinforcement Learning of Implicit and Explicit Control Flow Instructions	Unknown	PDF	N/A
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II	Unknown	PDF	N/A
Policy Gradient Bayesian Robust Optimization for Imitation Learning	Unknown	PDF	N/A
Online Learning with Optimism and Delay	Unknown	PDF	N/A
Blind Pareto Fairness and Subgroup Robustness	Unknown	PDF	N/A
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games	Unknown	PDF	N/A
Optimal Estimation of High Dimensional Smooth Additive Function Based on Noisy Observations	Unknown	PDF	N/A
Structured World Belief for Reinforcement Learning in POMDP	Unknown	PDF	N/A
Improved Denoising Diffusion Probabilistic Models	Unknown	PDF	N/A
Prior Image-Constrained Reconstruction using Style-Based Generative Models	Unknown	PDF	N/A
Vector Quantized Models for Planning	Unknown	PDF	N/A
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients	Unknown	PDF	N/A
f-Domain Adversarial Learning: Theory and Algorithms	Unknown	PDF	N/A
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning	Unknown	PDF	N/A
Automatic variational inference with cascading flows	Unknown	PDF	N/A
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences	Unknown	PDF	N/A
Dataset Dynamics via Gradient Flows in Probability Space	Unknown	PDF	N/A
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries	Unknown	PDF	N/A
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction	Unknown	PDF	N/A
Link Prediction with Persistent Homology: An Interactive View	Unknown	PDF	N/A
Regret and Cumulative Constraint Violation Analysis for Online Convex Optimization with Long Term Constraints	Unknown	PDF	N/A
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers	Unknown	PDF	N/A
Black-box density function estimation using recursive partitioning	Unknown	PDF	N/A
Transfer-Based Semantic Anomaly Detection	Unknown	PDF	N/A
Bilevel Optimization: Convergence Analysis and Enhanced Design	Unknown	PDF	N/A
Neuro-algorithmic Policies Enable Fast Combinatorial Generalization	Unknown	PDF	N/A
Collaborative Bayesian Optimization with Fair Regret	Unknown	PDF	N/A
Leveraging Non-uniformity in First-order Non-convex Optimization	Unknown	PDF	N/A
Solving Inverse Problems with a Flow-based Noise Model	Unknown	PDF	N/A
Trajectory Diversity for Zero-Shot Coordination	Unknown	PDF	N/A
Zero-Shot Text-to-Image Generation	Unknown	PDF	N/A
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?	Unknown	PDF	N/A
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models	Unknown	PDF	N/A
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning	Unknown	PDF	N/A
On the Inherent Regularization Effects of Noise Injection During Training	Unknown	PDF	N/A
Learn2Hop: Learned Optimization on Rough Landscapes	Unknown	PDF	N/A
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization	Unknown	PDF	N/A
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations	Unknown	PDF	N/A
State Relevance for Off-Policy Evaluation	Unknown	PDF	N/A
Leveraging Public Data for Practical Private Query Release	Unknown	PDF	N/A
Sample Complexity of Robust Linear Classification on Separated Data	Unknown	PDF	N/A
Continual Learning in the Teacher-Student Setup: Impact of Task Similarity	Unknown	PDF	N/A
Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders	Unknown	PDF	N/A
Robust Testing and Estimation under Manipulation Attacks	Unknown	PDF	N/A
Policy Caches with Successor Features	Unknown	PDF	N/A
Neighborhood Contrastive Learning Applied to Online Patient Monitoring	Unknown	PDF	N/A
Value Iteration in Continuous Actions, States and Time	Unknown	PDF	N/A
Provable Meta-Learning of Linear Representations	Unknown	PDF	N/A
Provably Efficient Algorithms for Multi-Objective Competitive RL	Unknown	PDF	N/A
Decoupling Value and Policy for Generalization in Reinforcement Learning	Unknown	PDF	N/A
High Confidence Generalization for Reinforcement Learning	Unknown	PDF	N/A
Fair Selective Classification Via Sufficiency	Unknown	PDF	N/A
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies	Unknown	PDF	N/A
Dimensionality Reduction for the Sum-of-Distances Metric	Unknown	PDF	N/A
Synthesizer: Rethinking Self-Attention for Transformer Models	Unknown	PDF	N/A
Weight-covariance alignment for adversarially robust neural networks	Unknown	PDF	N/A
Robust Unsupervised Learning via L-statistic Minimization	Unknown	PDF	N/A
Active Testing: Sample-Efficient Model Evaluation	Unknown	PDF	N/A
Reserve Price Optimization for First Price Auctions in Display Advertising	Unknown	PDF	N/A
E(n) Equivariant Graph Neural Networks	Unknown	PDF	N/A
Demystifying Inductive Biases for (Beta-)VAE Based Architectures	Unknown	PDF	N/A
Disentangling syntax and semantics in the brain with deep networks	Unknown	PDF	N/A
FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Training Quantized Neural Networks to Global Optimality via Semidefinite Programming	Unknown	PDF	N/A
Generative Particle Variational Inference via Estimation of Functional Gradients	Unknown	PDF	N/A
Size-Invariant Graph Representations for Graph Classification Extrapolations	Unknown	PDF	N/A
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation	Unknown	PDF	N/A
LARNet: Lie Algebra Residual Network for Face Recognition	Unknown	PDF	N/A
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training	Unknown	PDF	N/A
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations	Unknown	PDF	N/A
Private Adaptive Gradient Methods for Convex Optimization	Unknown	PDF	N/A
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time	Unknown	PDF	N/A
On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting	Unknown	PDF	N/A
LTL2Action: Generalizing LTL Instructions for Multi-Task RL	Unknown	PDF	N/A
Learning Transferable Visual Models From Natural Language Supervision	Unknown	PDF	N/A
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement	Unknown	PDF	N/A
Out-of-Distribution Generalization via Risk Extrapolation (REx)	Unknown	PDF	N/A
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models	Unknown	PDF	N/A
Acceleration via Fractal Learning Rate Schedules	Unknown	PDF	N/A
Local Correlation Clustering with Asymmetric Classification Errors	Unknown	PDF	N/A
How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference	Unknown	PDF	N/A
Sample Efficient Reinforcement Learning In Continuous State Spaces: A Perspective Beyond Linearity	Unknown	PDF	N/A
The Impact of Record Linkage on Learning from Feature Partitioned Data	Unknown	PDF	N/A
The Symmetry between Arms and Knapsacks: A Primal-Dual Approach for Bandits with Knapsacks	Unknown	PDF	N/A
Robust Inference for High-Dimensional Linear Models via Residual Randomization	Unknown	PDF	N/A
XOR-CD: Linearly Convergent Constrained Structure Generation	Unknown	PDF	N/A
Just Train Twice: Improving Group Robustness without Training Group Information	Unknown	PDF	N/A
Permutation Weighting	Unknown	PDF	N/A
Deep kernel processes	Unknown	PDF	N/A
Examining and Combating Spurious Features under Distribution Shift	Unknown	PDF	N/A
Learning to Price Against a Moving Target	Unknown	PDF	N/A
Bilinear Classes: A Structural Framework for Provable Generalization in RL	Unknown	PDF	N/A
Emergent Social Learning via Multi-agent Reinforcement Learning	Unknown	PDF	N/A
Improving Generalization in Meta-learning via Task Augmentation	Unknown	PDF	N/A
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning	Unknown	PDF	N/A
Batch Value-function Approximation with Only Realizability	Unknown	PDF	N/A
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework	Unknown	PDF	N/A
Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research	Unknown	PDF	N/A
Instance Specific Approximations for Submodular Maximization	Unknown	PDF	N/A
Learning Representations by Humans, for Humans	Unknown	PDF	N/A
Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks	Unknown	PDF	N/A
Voice2Series: Reprogramming Acoustic Models for Time Series Classification	Unknown	PDF	N/A
Path Planning using Neural A* Search	Unknown	PDF	N/A
CATE: Computation-aware Neural Architecture Encoding with Transformers	Unknown	PDF	N/A
Unified Robust Semi-Supervised Variational Autoencoder	Unknown	PDF	N/A
Outside the Echo Chamber: Optimizing the Performative Risk	Unknown	PDF	N/A
Catformer: Designing Stable Transformers via Sensitivity Analysis	Unknown	PDF	N/A
MOTS: Minimax Optimal Thompson Sampling	Unknown	PDF	N/A
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise	Unknown	PDF	N/A
Riemannian Convex Potential Maps	Unknown	PDF	N/A
Debiasing a First-order Heuristic for Approximate Bi-level Optimization	Unknown	PDF	N/A
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data	Unknown	PDF	N/A
Relative Positional Encoding for Transformers with Linear Complexity	Unknown	PDF	N/A
GANMEX: One-vs-One Attributions using GAN-based Model Explainability	Unknown	PDF	N/A
Defense against backdoor attacks via robust covariance estimation	Unknown	PDF	N/A
Bayesian Attention Belief Networks	Unknown	PDF	N/A
Nondeterminism and Instability in Neural Network Optimization	Unknown	PDF	N/A
Large-Scale Multi-Agent Deep FBSDEs	Unknown	PDF	N/A
Generative Adversarial Transformers	Unknown	PDF	N/A
CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee	Unknown	PDF	N/A
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation	Unknown	PDF	N/A
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation	Unknown	PDF	N/A
Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation	Unknown	PDF	N/A
GMAC: A Distributional Perspective on Actor-Critic Framework	Unknown	PDF	N/A
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation	Unknown	PDF	N/A
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction	Unknown	PDF	N/A
Learning Stochastic Behaviour from Aggregate Data	Unknown	PDF	N/A
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks	Unknown	PDF	N/A
Is Space-Time Attention All You Need for Video Understanding?	Unknown	PDF	N/A
Interaction-Grounded Learning	Unknown	PDF	N/A
The Emergence of Individuality	Unknown	PDF	N/A
Group-Sparse Matrix Factorization for Transfer Learning of Word Embeddings	Unknown	PDF	N/A
Large-Scale Meta-Learning with Continual Trajectory Shifting	Unknown	PDF	N/A
Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation	Unknown	PDF	N/A
Sharf: Shape-conditioned Radiance Fields from a Single View	Unknown	PDF	N/A
Commutative Lie Group VAE for Disentanglement Learning	Unknown	PDF	N/A
A Receptor Skeleton for Capsule Neural Networks	Unknown	PDF	N/A
On the price of explainability for some clustering problems	Unknown	PDF	N/A
GRAND: Graph Neural Diffusion	Unknown	PDF	N/A
Variance Reduced Training with Stratified Sampling for Forecasting Models	Unknown	PDF	N/A
Quantitative Understanding of VAE as a Non-linearly Scaled Isometric Embedding	Unknown	PDF	N/A
ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations	Unknown	PDF	N/A
Selecting Data Augmentation for Simulating Interventions	Unknown	PDF	N/A
On Explainability of Graph Neural Networks via Subgraph Explorations	Unknown	PDF	N/A
Event Outlier Detection in Continuous Time	Unknown	PDF	N/A
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning	Unknown	PDF	N/A
What Makes for End-to-End Object Detection?	Unknown	PDF	N/A
Understanding Noise Injection in GANs	Unknown	PDF	N/A
Learning by Turning: Neural Architecture Aware Optimisation	Unknown	PDF	N/A
FILTRA: Rethinking Steerable CNN by Filter Transform	Unknown	PDF	N/A
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix	Unknown	PDF	N/A
Crystallization Learning with the Delaunay Triangulation	Unknown	PDF	N/A
Principled Exploration via Optimistic Bootstrapping and Backward Induction	Unknown	PDF	N/A
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise	Unknown	PDF	N/A
TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer	Unknown	PDF	N/A
Mind the Box: $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers	Unknown	PDF	N/A
On the Problem of Underranking in Group-Fair Ranking	Unknown	PDF	N/A
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game	Unknown	PDF	N/A
Improving Ultrametrics Embeddings Through Coresets	Unknown	PDF	N/A
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More	Unknown	PDF	N/A
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions	Unknown	PDF	N/A
Efficient Online Learning for Dynamic k-Clustering	Unknown	PDF	N/A
Federated Learning of User Verification Models Without Sharing Embeddings	Unknown	PDF	N/A
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives	Unknown	PDF	N/A
Incentivized Bandit Learning with Self-Reinforcing User Preferences	Unknown	PDF	N/A
Quantile Bandits for Best Arms Identification	Unknown	PDF	N/A
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees	Unknown	PDF	N/A
STRODE: Stochastic Boundary Ordinary Differential Equation	Unknown	PDF	N/A
Align, then memorise: the dynamics of learning with feedback alignment	Unknown	PDF	N/A
Communication-Efficient Distributed SVD via Local Power Iterations	Unknown	PDF	N/A
Breaking the Deadly Triad with a Target Network	Unknown	PDF	N/A
Adversarial Robustness Guarantees for Random Deep Neural Networks	Unknown	PDF	N/A
In-Database Regression in Input Sparsity Time	Unknown	PDF	N/A
Inferring serial correlation with dynamic backgrounds	Unknown	PDF	N/A
The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets	Unknown	PDF	N/A
Towards Defending against Adversarial Examples via Attack-Invariant Features	Unknown	PDF	N/A
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator	Unknown	PDF	N/A
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth	Unknown	PDF	N/A
Communication-Efficient Distributed Optimization with Quantized Preconditioners	Unknown	PDF	N/A
AdaXpert: Adapting Neural Architecture for Growing Data	Unknown	PDF	N/A
On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP	Unknown	PDF	N/A
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform	Unknown	PDF	N/A
On Characterizing GAN Convergence Through Proximal Duality Gap	Unknown	PDF	N/A
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation	Unknown	PDF	N/A
What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules	Unknown	PDF	N/A
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed	Unknown	PDF	N/A
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases	Unknown	PDF	N/A
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient	Unknown	PDF	N/A
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference	Unknown	PDF	N/A
Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss	Unknown	PDF	N/A
Phasic Policy Gradient	Unknown	PDF	N/A
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization	Unknown	PDF	N/A
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance	Unknown	PDF	N/A
Near-Optimal Representation Learning for Linear Bandits and Linear RL	Unknown	PDF	N/A
How Framelets Enhance Graph Neural Networks	Unknown	PDF	N/A
A Sampling-Based Method for Tensor Ring Decomposition	Unknown	PDF	N/A
Necessary and sufficient conditions for causal feature selection in time series with latent common causes	Unknown	PDF	N/A
Exponential Lower Bounds for Batch Reinforcement Learning: Batch RL can be Exponentially Harder than Online RL	Unknown	PDF	N/A
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network	Unknown	PDF	N/A

ICML 2022

Title	Author	PDF_Link	Code_URL
Communicating via Markov Decision Processes	Unknown	PDF	N/A
Inferring Cause and Effect in the Presence of Heteroscedastic Noise	Unknown	PDF	N/A
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games	Unknown	PDF	N/A
Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis	Unknown	PDF	N/A
Anticorrelated Noise Injection for Improved Generalization	Unknown	PDF	N/A
Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation	Unknown	PDF	N/A
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee	Unknown	PDF	N/A
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning	Unknown	PDF	N/A
The Primacy Bias in Deep Reinforcement Learning	Unknown	PDF	N/A
Understanding Gradient Descent on the Edge of Stability in Deep Learning	Unknown	PDF	N/A
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation	Unknown	PDF	N/A
On Distribution Shift in Learning-based Bug Detectors	Unknown	PDF	N/A
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators	Unknown	PDF	N/A
Spatial-Channel Token Distillation for Vision MLPs	Unknown	PDF	N/A
Understanding The Robustness in Vision Transformers	Unknown	PDF	N/A
NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields	Unknown	PDF	N/A
Measuring Representational Robustness of Neural Networks Through Shared Invariances	Unknown	PDF	N/A
Efficient Approximate Inference for Stationary Kernel on Frequency Domain	Unknown	PDF	N/A
Goal Misgeneralization in Deep Reinforcement Learning	Unknown	PDF	N/A
Topology-aware Generalization of Decentralized SGD	Unknown	PDF	N/A
Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation	Unknown	PDF	N/A
Decision-Focused Learning: Through the Lens of Learning to Rank	Unknown	PDF	N/A
On Implicit Bias in Overparameterized Bilevel Optimization	Unknown	PDF	N/A
Welfare Maximization in Competitive Equilibrium: Reinforcement Learning for Markov Exchange Economy	Unknown	PDF	N/A
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction	Unknown	PDF	N/A
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond	Unknown	PDF	N/A
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs	Unknown	PDF	N/A
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing	Unknown	PDF	N/A
Channel Importance Matters in Few-Shot Image Classification	Unknown	PDF	N/A
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization	Unknown	PDF	N/A
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model	Unknown	PDF	N/A
Supervised Off-Policy Ranking	Unknown	PDF	N/A
Steerable 3D Spherical Neurons	Unknown	PDF	N/A
Neural Inverse Kinematic	Unknown	PDF	N/A
SE(3) Equivariant Graph Neural Networks with Complete Local Frames	Unknown	PDF	N/A
DNNR: Differential Nearest Neighbors Regression	Unknown	PDF	N/A
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators	Unknown	PDF	N/A
Active Sampling for Min-Max Fairness	Unknown	PDF	N/A
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning	Unknown	PDF	N/A
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences	Unknown	PDF	N/A
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize	Unknown	PDF	N/A
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks	Unknown	PDF	N/A
Towards Understanding Sharpness-Aware Minimization	Unknown	PDF	N/A
AGNAS: Attention-Guided Micro- and Macro-Architecture Search	Unknown	PDF	N/A
Improving Policy Optimization with Generalist-Specialist Learning	Unknown	PDF	N/A
Short-Term Plasticity Neurons Learning to Learn and Forget	Unknown	PDF	N/A
Adaptive Model Design for Markov Decision Process	Unknown	PDF	N/A
Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors	Unknown	PDF	N/A
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning	Unknown	PDF	N/A
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering	Unknown	PDF	N/A
Matching Learned Causal Effects of Neural Networks with Domain Priors	Unknown	PDF	N/A
Bayesian Deep Embedding Topic Meta-Learner	Unknown	PDF	N/A
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer	Unknown	PDF	N/A
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning	Unknown	PDF	N/A
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation	Unknown	PDF	N/A
Accurate Quantization of Measures via Interacting Particle-based Optimization	Unknown	PDF	N/A
Planning with Diffusion for Flexible Behavior Synthesis	Unknown	PDF	N/A
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming	Unknown	PDF	N/A
Equivariant Priors for compressed sensing with unknown orientation	Unknown	PDF	N/A
Neural Language Models are not Born Equal to Fit Brain Data, but Training Helps	Unknown	PDF	N/A
On the Role of Discount Factor in Offline Reinforcement Learning	Unknown	PDF	N/A
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning	Unknown	PDF	N/A
Communication-Efficient Adaptive Federated Learning	Unknown	PDF	N/A
Content Addressable Memory Without Catastrophic Forgetting by Heteroassociation with a Fixed Scaffold	Unknown	PDF	N/A
Continual Learning via Sequential Function-Space Variational Inference	Unknown	PDF	N/A
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization	Unknown	PDF	N/A
Do More Negative Samples Necessarily Hurt In Contrastive Learning?	Unknown	PDF	N/A
Fast Population-Based Reinforcement Learning on a Single Machine	Unknown	PDF	N/A
NeuralEF: Deconstructing Kernels by Deep Neural Networks	Unknown	PDF	N/A
Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making	Unknown	PDF	N/A
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data	Unknown	PDF	N/A
Robust Training of Neural Networks Using Scale Invariant Architectures	Unknown	PDF	N/A
Generalization and Robustness Implications in Object-Centric Learning	Unknown	PDF	N/A
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations	Unknown	PDF	N/A
Multicoated Supermasks Enhance Hidden Networks	Unknown	PDF	N/A
Time Is MattEr: Temporal Self-supervision for Video Transformers	Unknown	PDF	N/A
Privacy for Free: How does Dataset Condensation Help Privacy?	Unknown	PDF	N/A
Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning	Unknown	PDF	N/A
Stable Conformal Prediction Sets	Unknown	PDF	N/A
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations	Unknown	PDF	N/A
Selective Regression under Fairness Criteria	Unknown	PDF	N/A
Towards Scaling Difference Target Propagation by Learning Backprop Targets	Unknown	PDF	N/A
Revisiting Label Smoothing and Knowledge Distillation Compatibility: What was Missing?	Unknown	PDF	N/A
Personalized Federated Learning through Local Memorization	Unknown	PDF	N/A
SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks	Unknown	PDF	N/A
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control	Unknown	PDF	N/A
Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding	Unknown	PDF	N/A
Deep Safe Incomplete Multi-view Clustering: Theorem and Algorithm	Unknown	PDF	N/A
On the Adversarial Robustness of Causal Algorithmic Recourse	Unknown	PDF	N/A
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning	Unknown	PDF	N/A
Coin Flipping Neural Networks	Unknown	PDF	N/A
Neurotoxin: Durable Backdoors in Federated Learning	Unknown	PDF	N/A
Dataset Condensation with Contrastive Signals	Unknown	PDF	N/A
How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation	Unknown	PDF	N/A
Deep Network Approximation in Terms of Intrinsic Parameters	Unknown	PDF	N/A
A Convergent and Dimension-Independent Min-Max Optimization Algorithm	Unknown	PDF	N/A
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization	Unknown	PDF	N/A
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization	Unknown	PDF	N/A
Demystifying the Adversarial Robustness of Random Transformation Defenses	Unknown	PDF	N/A
Marginal Tail-Adaptive Normalizing Flows	Unknown	PDF	N/A
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging	Unknown	PDF	N/A
NP-Match: When Neural Processes meet Semi-Supervised Learning	Unknown	PDF	N/A
Representation Topology Divergence: A Method for Comparing Neural Network Representations.	Unknown	PDF	N/A
Understanding Contrastive Learning Requires Incorporating Inductive Biases	Unknown	PDF	N/A
Neural Implicit Dictionary Learning via Mixture-of-Expert Training	Unknown	PDF	N/A
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging	Unknown	PDF	N/A
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations	Unknown	PDF	N/A
Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer	Unknown	PDF	N/A
SpaceMAP: Visualizing High-Dimensional Data by Space Expansion	Unknown	PDF	N/A
Meta-Learning Hypothesis Spaces for Sequential Decision-making	Unknown	PDF	N/A
Lazy Estimation of Variable Importance for Large Neural Networks	Unknown	PDF	N/A
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization	Unknown	PDF	N/A
Partial disentanglement for domain adaptation	Unknown	PDF	N/A
Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path	Unknown	PDF	N/A
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness	Unknown	PDF	N/A
Langevin Monte Carlo for Contextual Bandits	Unknown	PDF	N/A
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems	Unknown	PDF	N/A
Tractable Uncertainty for Structure Learning	Unknown	PDF	N/A
Multi-slots Online Matching with High Entropy	Unknown	PDF	N/A
Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP)	Unknown	PDF	N/A
Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech	Unknown	PDF	N/A
GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks	Unknown	PDF	N/A
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling	Unknown	PDF	N/A
On the Generalization Analysis of Adversarial Learning	Unknown	PDF	N/A
Extended Unconstrained Features Model for Exploring Deep Neural Collapse	Unknown	PDF	N/A
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization	Unknown	PDF	N/A
Zero-Shot Reward Specification via Grounded Natural Language	Unknown	PDF	N/A
VLMixer: Unpaired Vision-Language Pre-training via Cross-Modal CutMix	Unknown	PDF	N/A
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint	Unknown	PDF	N/A
Generative Cooperative Networks for Natural Language Generation	Unknown	PDF	N/A
Multi-scale Feature Learning Dynamics: Insights for Double Descent	Unknown	PDF	N/A
On Convergence of Gradient Descent Ascent: A Tight Local Analysis	Unknown	PDF	N/A
Reachability Constrained Reinforcement Learning	Unknown	PDF	N/A
A State-Distribution Matching Approach to Non-Episodic Reinforcement Learning	Unknown	PDF	N/A
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification	Unknown	PDF	N/A
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design	Unknown	PDF	N/A
Deep Variational Graph Convolutional Recurrent Network for Multivariate Time Series Anomaly Detection	Unknown	PDF	N/A
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization	Unknown	PDF	N/A
Calibrated Learning to Defer with One-vs-All Classifiers	Unknown	PDF	N/A
Multiclass learning with margin: exponential rates with no bias-variance trade-off	Unknown	PDF	N/A
Prompting Decision Transformer for Few-Shot Policy Generalization	Unknown	PDF	N/A
TSPipe: Learn from Teacher Faster with Pipelines	Unknown	PDF	N/A
Self-conditioning Pre-Trained Language Models	Unknown	PDF	N/A
Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models	Unknown	PDF	N/A
Subspace Learning for Effective Meta-Learning	Unknown	PDF	N/A
The power of first-order smooth optimization for black-box non-smooth problems	Unknown	PDF	N/A
Proving Theorems using Incremental Learning and Hindsight Experience Replay	Unknown	PDF	N/A
Rethinking Attention-Model Explainability through Faithfulness Violation Test	Unknown	PDF	N/A
Inductive Biases and Variable Creation in Self-Attention Mechanisms	Unknown	PDF	N/A
A data-driven approach for learning to control computers	Unknown	PDF	N/A
Causal Imitation Learning under Temporally Correlated Noise	Unknown	PDF	N/A
Delayed Reinforcement Learning by Imitation	Unknown	PDF	N/A
Minimizing Control for Credit Assignment with Strong Feedback	Unknown	PDF	N/A
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems	Unknown	PDF	N/A
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally!	Unknown	PDF	N/A
Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder	Unknown	PDF	N/A
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks	Unknown	PDF	N/A
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer	Unknown	PDF	N/A
On the Robustness of CountSketch to Adaptive Inputs	Unknown	PDF	N/A
An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn	Unknown	PDF	N/A
Utilizing Expert Features for Contrastive Learning of Time-Series Representations	Unknown	PDF	N/A
Region-Based Semantic Factorization in GANs	Unknown	PDF	N/A
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses	Unknown	PDF	N/A
The Teaching Dimension of Regularized Kernel Learners	Unknown	PDF	N/A
Selling Data To a Machine Learner: Pricing via Costly Signaling	Unknown	PDF	N/A
Learning to Incorporate Texture Saliency Adaptive Attention to Image Cartoonization	Unknown	PDF	N/A
Hindering Adversarial Attacks with Implicit Neural Representations	Unknown	PDF	N/A
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning	Unknown	PDF	N/A
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology	Unknown	PDF	N/A
Context-Aware Drift Detection	Unknown	PDF	N/A
Neural Fisher Discriminant Analysis: Optimal Neural Network Embeddings in Polynomial Time	Unknown	PDF	N/A
Efficient Learning for AlphaZero via Path Consistency	Unknown	PDF	N/A
Zero-shot AutoML with Pretrained Models	Unknown	PDF	N/A
Offline RL Policies Should Be Trained to be Adaptive	Unknown	PDF	N/A
Improving Out-of-Distribution Robustness via Selective Augmentation	Unknown	PDF	N/A
Feature Learning and Signal Propagation in Deep Neural Networks	Unknown	PDF	N/A
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters	Unknown	PDF	N/A
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation	Unknown	PDF	N/A
Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems	Unknown	PDF	N/A
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels	Unknown	PDF	N/A
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations	Unknown	PDF	N/A
Bayesian Model Selection, the Marginal Likelihood, and Generalization	Unknown	PDF	N/A
Structure-Aware Transformer for Graph Representation Learning	Unknown	PDF	N/A
Generalized Leverage Scores: Geometric Interpretation and Applications	Unknown	PDF	N/A
Flow-Guided Sparse Transformer for Video Deblurring	Unknown	PDF	N/A
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting	Unknown	PDF	N/A
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models	Unknown	PDF	N/A
Learning from a Learning User for Optimal Recommendations	Unknown	PDF	N/A
Towards Evaluating Adaptivity of Model-Based Reinforcement Learning Methods	Unknown	PDF	N/A
Modular Conformal Calibration	Unknown	PDF	N/A
PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs	Unknown	PDF	N/A
Private optimization in the interpolation regime: faster rates and hardness results	Unknown	PDF	N/A
Neuron Dependency Graphs: A Causal Abstraction of Neural Networks	Unknown	PDF	N/A
Searching for BurgerFormer with Micro-Meso-Macro Space Design	Unknown	PDF	N/A
Rethinking Graph Neural Networks for Anomaly Detection	Unknown	PDF	N/A
The Geometry of Robust Value Functions	Unknown	PDF	N/A
A Tighter Analysis of Spectral Clustering, and Beyond	Unknown	PDF	N/A
Directed Acyclic Transformer for Non-Autoregressive Machine Translation	Unknown	PDF	N/A
Lagrangian Method for Q-Function Learning (with Applications to Machine Translation)	Unknown	PDF	N/A
Model-Value Inconsistency as a Signal for Epistemic Uncertainty	Unknown	PDF	N/A
Exact Learning of Preference Structure: Single-peaked Preferences and Beyond	Unknown	PDF	N/A
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four	Unknown	PDF	N/A
Boosting Graph Structure Learning with Dummy Nodes	Unknown	PDF	N/A
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents	Unknown	PDF	N/A
Learning General Halfspaces with Adversarial Label Noise via Online Gradient Descent	Unknown	PDF	N/A
Robust Fine-Tuning of Deep Neural Networks with Hessian-based Generalization Guarantees	Unknown	PDF	N/A
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound	Unknown	PDF	N/A
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets	Unknown	PDF	N/A
A Statistical Manifold Framework for Point Cloud Data	Unknown	PDF	N/A
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification	Unknown	PDF	N/A
Iterative Double Sketching for Faster Least-Squares Optimization	Unknown	PDF	N/A
Test-Time Training Can Close the Natural Distribution Shift Performance Gap in Deep Learning Based Compressed Sensing	Unknown	PDF	N/A
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation	Unknown	PDF	N/A
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization	Unknown	PDF	N/A
Optimizing Tensor Network Contraction Using Reinforcement Learning	Unknown	PDF	N/A
Distribution Regression with Sliced Wasserstein Kernels	Unknown	PDF	N/A
Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding	Unknown	PDF	N/A
Understanding Doubly Stochastic Clustering	Unknown	PDF	N/A
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions	Unknown	PDF	N/A
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs	Unknown	PDF	N/A
Latent Outlier Exposure for Anomaly Detection with Contaminated Data	Unknown	PDF	N/A
Simultaneously Learning Stochastic and Adversarial Bandits with General Graph Feedback	Unknown	PDF	N/A
Set Based Stochastic Subsampling	Unknown	PDF	N/A
Neural Tangent Kernel Analysis of Deep Narrow Neural Networks	Unknown	PDF	N/A
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis	Unknown	PDF	N/A
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology	Unknown	PDF	N/A
Co-training Improves Prompt-based Learning for Large Language Models	Unknown	PDF	N/A
Variational Feature Pyramid Networks	Unknown	PDF	N/A
Probabilistic Bilevel Coreset Selection	Unknown	PDF	N/A
Efficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity	Unknown	PDF	N/A
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning	Unknown	PDF	N/A
XAI for Transformers: Better Explanations through Conservative Propagation	Unknown	PDF	N/A
General-purpose, long-context autoregressive modeling with Perceiver AR	Unknown	PDF	N/A
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent	Unknown	PDF	N/A
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm	Unknown	PDF	N/A
Flashlight: Enabling Innovation in Tools for Machine Learning	Unknown	PDF	N/A
Model Agnostic Sample Reweighting for Out-of-Distribution Learning	Unknown	PDF	N/A
Nonparametric Involutive Markov Chain Monte Carlo	Unknown	PDF	N/A
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning	Unknown	PDF	N/A
Fast and Provable Nonconvex Tensor RPCA	Unknown	PDF	N/A
Certified Robustness Against Natural Language Attacks by Causal Intervention	Unknown	PDF	N/A
A Simple Unified Framework for High Dimensional Bandit Problems	Unknown	PDF	N/A
Interventional Contrastive Learning with Meta Semantic Regularizer	Unknown	PDF	N/A
Parametric Visual Program Induction with Function Modularization	Unknown	PDF	N/A
Generalized Beliefs for Cooperative AI	Unknown	PDF	N/A
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets	Unknown	PDF	N/A
Unaligned Supervision for Automatic Music Transcription in The Wild	Unknown	PDF	N/A
Fisher SAM: Information Geometry and Sharpness Aware Minimisation	Unknown	PDF	N/A
The Algebraic Path Problem for Graph Metrics	Unknown	PDF	N/A
Overcoming Oscillations in Quantization-Aware Training	Unknown	PDF	N/A
Individual Reward Assisted Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Causal Inference Through the Structural Causal Marginal Problem	Unknown	PDF	N/A
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation	Unknown	PDF	N/A
Sparse Mixed Linear Regression with Guarantees: Taming an Intractable Problem with Invex Relaxation	Unknown	PDF	N/A
SCHA-VAE: Hierarchical Context Aggregation for Few-Shot Generation	Unknown	PDF	N/A
Permutation Search of Tensor Network Structures via Local Sampling	Unknown	PDF	N/A
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups	Unknown	PDF	N/A
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology	Unknown	PDF	N/A
Adaptive Conformal Predictions for Time Series	Unknown	PDF	N/A
Unified Scaling Laws for Routed Language Models	Unknown	PDF	N/A
Bayesian Optimization for Distributionally Robust Chance-constrained Problem	Unknown	PDF	N/A
Provable Domain Generalization via Invariant-Feature Subspace Recovery	Unknown	PDF	N/A
Revisiting Consistency Regularization for Deep Partial Label Learning	Unknown	PDF	N/A
PoF: Post-Training of Feature Extractor for Improving Generalization	Unknown	PDF	N/A
A Closer Look at Smoothness in Domain Adversarial Training	Unknown	PDF	N/A
SpeqNets: Sparsity-aware permutation-equivariant graph networks	Unknown	PDF	N/A
Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory	Unknown	PDF	N/A
Fast Lossless Neural Compression with Integer-Only Discrete Flows	Unknown	PDF	N/A
How Powerful are Spectral Graph Neural Networks	Unknown	PDF	N/A
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications	Unknown	PDF	N/A
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution	Unknown	PDF	N/A
Proximal Exploration for Model-guided Protein Sequence Design	Unknown	PDF	N/A
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets	Unknown	PDF	N/A
Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations	Unknown	PDF	N/A
Data Augmentation as Feature Manipulation	Unknown	PDF	N/A
Efficient Low Rank Convex Bounds for Pairwise Discrete Graphical Models	Unknown	PDF	N/A
UniRank: Unimodal Bandit Algorithms for Online Ranking	Unknown	PDF	N/A
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training	Unknown	PDF	N/A
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors	Unknown	PDF	N/A
Online and Consistent Correlation Clustering	Unknown	PDF	N/A
FedNest: Federated Bilevel, Minimax, and Compositional Optimization	Unknown	PDF	N/A
Near-optimal rate of consistency for linear models with missing values	Unknown	PDF	N/A
Optimal and Efficient Dynamic Regret Algorithms for Non-Stationary Dueling Bandits	Unknown	PDF	N/A
Bayesian Optimization under Stochastic Delayed Feedback	Unknown	PDF	N/A
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback	Unknown	PDF	N/A
Learning of Cluster-based Feature Importance for Electronic Health Record Time-series	Unknown	PDF	N/A
Global Optimization of K-Center Clustering	Unknown	PDF	N/A
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning	Unknown	PDF	N/A
Variational nearest neighbor Gaussian process	Unknown	PDF	N/A
A Completely Tuning-Free and Robust Approach to Sparse Precision Matrix Estimation	Unknown	PDF	N/A
Generalized Data Distribution Iteration	Unknown	PDF	N/A
Anytime Information Cascade Popularity Prediction via Self-Exciting Processes	Unknown	PDF	N/A
Secure Quantized Training for Deep Learning	Unknown	PDF	N/A
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime	Unknown	PDF	N/A
Improving Adversarial Robustness via Mutual Information Estimation	Unknown	PDF	N/A
Black-Box Tuning for Language-Model-as-a-Service	Unknown	PDF	N/A
A Context-Integrated Transformer-Based Neural Network for Auction Design	Unknown	PDF	N/A
Statistical inference with implicit SGD: proximal Robbins-Monro vs. Polyak-Ruppert	Unknown	PDF	N/A
Neurocoder: General-Purpose Computation Using Stored Neural Programs	Unknown	PDF	N/A
Learning Infinite-horizon Average-reward Markov Decision Process with Constraints	Unknown	PDF	N/A
Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models	Unknown	PDF	N/A
Sparse Invariant Risk Minimization	Unknown	PDF	N/A
Winning the Lottery Ahead of Time: Efficient Early Network Pruning	Unknown	PDF	N/A
Implicit Bias of the Step Size in Linear Diagonal Neural Networks	Unknown	PDF	N/A
Intriguing Properties of Input-Dependent Randomized Smoothing	Unknown	PDF	N/A
Latent Diffusion Energy-Based Model for Interpretable Text Modelling	Unknown	PDF	N/A
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes	Unknown	PDF	N/A
Bregman Neural Networks	Unknown	PDF	N/A
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias	Unknown	PDF	N/A
Graph Neural Architecture Search Under Distribution Shifts	Unknown	PDF	N/A
Quantifying and Learning Linear Symmetry-Based Disentanglement	Unknown	PDF	N/A
Certifying Out-of-Domain Generalization for Blackbox Functions	Unknown	PDF	N/A
Constants Matter: The Performance Gains of Active Learning	Unknown	PDF	N/A
AutoSNN: Towards Energy-Efficient Spiking Neural Networks	Unknown	PDF	N/A
A Modern Self-Referential Weight Matrix That Learns to Modify Itself	Unknown	PDF	N/A
The Complexity of k-Means Clustering when Little is Known	Unknown	PDF	N/A
Gradient Based Clustering	Unknown	PDF	N/A
Modeling Adversarial Noise for Adversarial Training	Unknown	PDF	N/A
Balancing Discriminability and Transferability for Source-Free Domain Adaptation	Unknown	PDF	N/A
Closed-Form Diffeomorphic Transformations for Time Series Alignment	Unknown	PDF	N/A
Dynamic Regret of Online Markov Decision Processes	Unknown	PDF	N/A
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity	Unknown	PDF	N/A
Spectral Representation of Robustness Measures for Optimization Under Input Uncertainty	Unknown	PDF	N/A
Individual Preference Stability for Clustering	Unknown	PDF	N/A
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics	Unknown	PDF	N/A
Importance Weighted Kernel Bayes' Rule	Unknown	PDF	N/A
Instrumental Variable Regression with Confounder Balancing	Unknown	PDF	N/A
Optimal Clustering with Noisy Queries via Multi-Armed Bandit	Unknown	PDF	N/A
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training	Unknown	PDF	N/A
It’s Raw! Audio Generation with State-Space Models	Unknown	PDF	N/A
Nyström Kernel Mean Embeddings	Unknown	PDF	N/A
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets	Unknown	PDF	N/A
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings	Unknown	PDF	N/A
Causal Transformer for Estimating Counterfactual Outcomes	Unknown	PDF	N/A
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization	Unknown	PDF	N/A
Convolutional and Residual Networks Provably Contain Lottery Tickets	Unknown	PDF	N/A
Interpretable Off-Policy Learning via Hyperbox Search	Unknown	PDF	N/A
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation	Unknown	PDF	N/A
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction	Unknown	PDF	N/A
Self-Organized Polynomial-Time Coordination Graphs	Unknown	PDF	N/A
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search	Unknown	PDF	N/A
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning	Unknown	PDF	N/A
Predicting Out-of-Distribution Error with the Projection Norm	Unknown	PDF	N/A
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation	Unknown	PDF	N/A
Generative Modeling for Multi-task Visual Learning	Unknown	PDF	N/A
An Intriguing Property of Geophysics Inversion	Unknown	PDF	N/A
Phasic Self-Imitative Reduction for Sparse-Reward Goal-Conditioned Reinforcement Learning	Unknown	PDF	N/A
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving	Unknown	PDF	N/A
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning	Unknown	PDF	N/A
Fast rates for noisy interpolation require rethinking the effect of inductive bias	Unknown	PDF	N/A
Provably Adversarially Robust Nearest Prototype Classifiers	Unknown	PDF	N/A
Continual Learning with Guarantees via Weight Interval Constraints	Unknown	PDF	N/A
You Only Cut Once: Boosting Data Augmentation with a Single Cut	Unknown	PDF	N/A
A Dynamical System Perspective for Lipschitz Neural Networks	Unknown	PDF	N/A
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)	Unknown	PDF	N/A
Strategic Representation	Unknown	PDF	N/A
A Convergence Theory for SVGD in the Population Limit under Talagrand's Inequality T1	Unknown	PDF	N/A
On the Learning of Non-Autoregressive Transformers	Unknown	PDF	N/A
Actor-Critic based Improper Reinforcement Learning	Unknown	PDF	N/A
Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums	Unknown	PDF	N/A
Reinforcement Learning from Partial Observation: Linear Function Approximation with Provable Sample Efficiency	Unknown	PDF	N/A
Understanding and Improving Knowledge Graph Embedding for Entity Alignment	Unknown	PDF	N/A
Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification	Unknown	PDF	N/A
A$^3$T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and Editing	Unknown	PDF	N/A
Dialog Inpainting: Turning Documents into Dialogs	Unknown	PDF	N/A
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity	Unknown	PDF	N/A
Measuring dissimilarity with diffeomorphism invariance	Unknown	PDF	N/A
Learning Pseudometric-based Action Representations for Offline Reinforcement Learning	Unknown	PDF	N/A
Fast Composite Optimization and Statistical Recovery in Federated Learning	Unknown	PDF	N/A
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries	Unknown	PDF	N/A
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer	Unknown	PDF	N/A
Fair and Fast k-Center Clustering for Data Summarization	Unknown	PDF	N/A
Deep Reference Priors: What is the best way to pretrain a model?	Unknown	PDF	N/A
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution	Unknown	PDF	N/A
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning	Unknown	PDF	N/A
Continual Repeated Annealed Flow Transport Monte Carlo	Unknown	PDF	N/A
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection	Unknown	PDF	N/A
Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness	Unknown	PDF	N/A
Data Scaling Laws in NMT: The Effect of Noise and Architecture	Unknown	PDF	N/A
Improving Mini-batch Optimal Transport via Partial Transportation	Unknown	PDF	N/A
DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks	Unknown	PDF	N/A
Learning Iterative Reasoning through Energy Minimization	Unknown	PDF	N/A
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing	Unknown	PDF	N/A
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness	Unknown	PDF	N/A
Robust Imitation Learning against Variations in Environment Dynamics	Unknown	PDF	N/A
Accelerated Federated Learning with Decoupled Adaptive Optimization	Unknown	PDF	N/A
A Consistent and Efficient Evaluation Strategy for Attribution Methods	Unknown	PDF	N/A
Private Adaptive Optimization with Side information	Unknown	PDF	N/A
A Difference Standardization Method for Mutual Transfer Learning	Unknown	PDF	N/A
Memory-Based Model Editing at Scale	Unknown	PDF	N/A
Revisiting End-to-End Speech-to-Text Translation From Scratch	Unknown	PDF	N/A
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling	Unknown	PDF	N/A
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning	Unknown	PDF	N/A
Causal structure-based root cause analysis of outliers	Unknown	PDF	N/A
Learning to Estimate and Refine Fluid Motion with Physical Dynamics	Unknown	PDF	N/A
Comprehensive Analysis of Negative Sampling in Knowledge Graph Representation Learning	Unknown	PDF	N/A
Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters	Unknown	PDF	N/A
Generalised Policy Improvement with Geometric Policy Composition	Unknown	PDF	N/A
Popular decision tree algorithms are provably noise tolerant	Unknown	PDF	N/A
Only tails matter: Average-Case Universality and Robustness in the Convex Regime	Unknown	PDF	N/A
Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Scalable Deep Reinforcement Learning Algorithms for Mean Field Games	Unknown	PDF	N/A
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning	Unknown	PDF	N/A
DAVINZ: Data Valuation using Deep Neural Networks at Initialization	Unknown	PDF	N/A
What Dense Graph Do You Need for Self-Attention?	Unknown	PDF	N/A
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications	Unknown	PDF	N/A
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization	Unknown	PDF	N/A
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm	Unknown	PDF	N/A
A Unified View on PAC-Bayes Bounds for Meta-Learning	Unknown	PDF	N/A
Online Continual Learning through Mutual Information Maximization	Unknown	PDF	N/A
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization	Unknown	PDF	N/A
Learning Dynamics and Generalization in Deep Reinforcement Learning	Unknown	PDF	N/A
Certified Adversarial Robustness Under the Bounded Support Set	Unknown	PDF	N/A
ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD	Unknown	PDF	N/A
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities	Unknown	PDF	N/A
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks	Unknown	PDF	N/A
Near-Optimal Learning of Extensive-Form Games with Imperfect Information	Unknown	PDF	N/A
Contrastive Learning with Boosted Memorization	Unknown	PDF	N/A
Improving Language Models by Retrieving from Trillions of Tokens	Unknown	PDF	N/A
UAST: Uncertainty-Aware Siamese Tracking	Unknown	PDF	N/A
Blurs Behave Like Ensembles: Spatial Smoothings to Improve Accuracy, Uncertainty, and Robustness	Unknown	PDF	N/A
Online Learning for Min Sum Set Cover and Pandora’s Box	Unknown	PDF	N/A
Faster Privacy Accounting via Evolving Discretization	Unknown	PDF	N/A
Gradient-Free Method for Heavily Constrained Nonconvex Optimization	Unknown	PDF	N/A
An Equivalence Between Data Poisoning and Byzantine Gradient Attacks	Unknown	PDF	N/A
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
A Temporal-Difference Approach to Policy Gradient Estimation	Unknown	PDF	N/A
Framework for Evaluating Faithfulness of Local Explanations	Unknown	PDF	N/A
Learning Multiscale Transformer Models for Sequence Generation	Unknown	PDF	N/A
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs	Unknown	PDF	N/A
Mirror Learning: A Unifying Framework of Policy Optimisation	Unknown	PDF	N/A
Denoised MDPs: Learning World Models Better Than the World Itself	Unknown	PDF	N/A
Identifiability Conditions for Domain Adaptation	Unknown	PDF	N/A
Nested Bandits	Unknown	PDF	N/A
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms	Unknown	PDF	N/A
A Simple yet Universal Strategy for Online Convex Optimization	Unknown	PDF	N/A
SPDY: Accurate Pruning with Speedup Guarantees	Unknown	PDF	N/A
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism	Unknown	PDF	N/A
Functional Output Regression with Infimal Convolution: Exploring the Huber and $\epsilon$-insensitive Losses	Unknown	PDF	N/A
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems	Unknown	PDF	N/A
Smoothed Adversarial Linear Contextual Bandits with Knapsacks	Unknown	PDF	N/A
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines	Unknown	PDF	N/A
On Collective Robustness of Bagging Against Data Poisoning	Unknown	PDF	N/A
CITRIS: Causal Identifiability from Temporal Intervened Sequences	Unknown	PDF	N/A
Mitigating Gender Bias in Face Recognition using the von Mises-Fisher Mixture Model	Unknown	PDF	N/A
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers	Unknown	PDF	N/A
Reinforcement Learning with Action-Free Pre-Training from Videos	Unknown	PDF	N/A
A new similarity measure for covariate shift with applications to nonparametric regression	Unknown	PDF	N/A
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks	Unknown	PDF	N/A
Self-supervised learning with random-projection quantizer for speech recognition	Unknown	PDF	N/A
Learning Symmetric Embeddings for Equivariant World Models	Unknown	PDF	N/A
How Tempering Fixes Data Augmentation in Bayesian Neural Networks	Unknown	PDF	N/A
Provably Efficient Offline Reinforcement Learning for Partially Observable Markov Decision Processes	Unknown	PDF	N/A
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming	Unknown	PDF	N/A
HousE: Knowledge Graph Embedding with Householder Parameterization	Unknown	PDF	N/A
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation	Unknown	PDF	N/A
Investigating Why Contrastive Learning Benefits Robustness against Label Noise	Unknown	PDF	N/A
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity	Unknown	PDF	N/A
Frustratingly Easy Transferability Estimation	Unknown	PDF	N/A
Minimum Cost Intervention Design for Causal Effect Identification	Unknown	PDF	N/A
Action-Sufficient State Representation Learning for Control with Structural Constraints	Unknown	PDF	N/A
Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems	Unknown	PDF	N/A
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing	Unknown	PDF	N/A
Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning	Unknown	PDF	N/A
Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity	Unknown	PDF	N/A
Tackling covariate shift with node-based Bayesian neural networks	Unknown	PDF	N/A
DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning	Unknown	PDF	N/A
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information	Unknown	PDF	N/A
Staged Training for Transformer Language Models	Unknown	PDF	N/A
Deletion Robust Submodular Maximization over Matroids	Unknown	PDF	N/A
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts	Unknown	PDF	N/A
Fictitious Play and Best-Response Dynamics in Identical Interest and Zero-Sum Stochastic Games	Unknown	PDF	N/A
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm	Unknown	PDF	N/A
Estimating and Penalizing Induced Preference Shifts in Recommender Systems	Unknown	PDF	N/A
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control	Unknown	PDF	N/A
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning	Unknown	PDF	N/A
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts	Unknown	PDF	N/A
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation	Unknown	PDF	N/A
Efficient Learning of CNNs using Patch Based Features	Unknown	PDF	N/A
Biological Sequence Design with GFlowNets	Unknown	PDF	N/A
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes	Unknown	PDF	N/A
Private frequency estimation via projective geometry	Unknown	PDF	N/A
Counterfactual Prediction for Outcome-Oriented Treatments	Unknown	PDF	N/A
3D Infomax improves GNNs for Molecular Property Prediction	Unknown	PDF	N/A
Generating Distributional Adversarial Examples to Evade Statistical Detectors	Unknown	PDF	N/A
How to Leverage Unlabeled Data in Offline Reinforcement Learning	Unknown	PDF	N/A
Linear Adversarial Concept Erasure	Unknown	PDF	N/A
Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer	Unknown	PDF	N/A
MetAug: Contrastive Learning via Meta Feature Augmentation	Unknown	PDF	N/A
Lie Point Symmetry Data Augmentation for Neural PDE Solvers	Unknown	PDF	N/A
Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models	Unknown	PDF	N/A
Stochastic Continuous Submodular Maximization: Boosting via Non-oblivious Function	Unknown	PDF	N/A
Conformal Prediction Sets with Limited False Positives	Unknown	PDF	N/A
Personalized Federated Learning via Variational Bayesian Inference	Unknown	PDF	N/A
Path-Gradient Estimators for Continuous Normalizing Flows	Unknown	PDF	N/A
Consistent Polyhedral Surrogates for Top-k Classification and Variants	Unknown	PDF	N/A
Nearly Minimax Optimal Reinforcement Learning with Linear Function Approximation	Unknown	PDF	N/A
Interactive Inverse Reinforcement Learning for Cooperative Games	Unknown	PDF	N/A
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms	Unknown	PDF	N/A
Be Like Water: Adaptive Floating Point for Machine Learning	Unknown	PDF	N/A
Diffusion bridges vector quantized variational autoencoders	Unknown	PDF	N/A
Deduplicating Training Data Mitigates Privacy Risks in Language Models	Unknown	PDF	N/A
Lightweight Projective Derivative Codes for Compressed Asynchronous Gradient Descent	Unknown	PDF	N/A
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks	Unknown	PDF	N/A
Revisiting and Advancing Fast Adversarial Training Through The Lens of Bi-Level Optimization	Unknown	PDF	N/A
Scalable Deep Gaussian Markov Random Fields for General Graphs	Unknown	PDF	N/A
Transformer Quality in Linear Time	Unknown	PDF	N/A
Visual Attention Emerges from Recurrent Sparse Reconstruction	Unknown	PDF	N/A
Confidence Score for Source-Free Unsupervised Domain Adaptation	Unknown	PDF	N/A
Unsupervised Image Representation Learning with Deep Latent Particles	Unknown	PDF	N/A
Marginal Distribution Adaptation for Discrete Sets via Module-Oriented Divergence Minimization	Unknown	PDF	N/A
A Rigorous Study of Integrated Gradients Method and Extensions to Internal Neuron Attributions	Unknown	PDF	N/A
IDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data	Unknown	PDF	N/A
On the Surrogate Gap between Contrastive and Supervised Losses	Unknown	PDF	N/A
Understanding Instance-Level Impact of Fairness Constraints	Unknown	PDF	N/A
Robust Group Synchronization via Quadratic Programming	Unknown	PDF	N/A
Deep Causal Metric Learning	Unknown	PDF	N/A
Flowformer: Linearizing Transformers with Conservation Flows	Unknown	PDF	N/A
Graph-Coupled Oscillator Networks	Unknown	PDF	N/A
Variational Inference for Infinitely Deep Neural Networks	Unknown	PDF	N/A
Reverse Engineering the Neural Tangent Kernel	Unknown	PDF	N/A
Low-Precision Stochastic Gradient Langevin Dynamics	Unknown	PDF	N/A
Matching Normalizing Flows and Probability Paths on Manifolds	Unknown	PDF	N/A
Asymptotically-Optimal Gaussian Bandits with Side Observations	Unknown	PDF	N/A
Sparse Double Descent: Where Network Pruning Aggravates Overfitting	Unknown	PDF	N/A
Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness	Unknown	PDF	N/A
Distributionally-Aware Kernelized Bandit Problems for Risk Aversion	Unknown	PDF	N/A
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention	Unknown	PDF	N/A
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems	Unknown	PDF	N/A
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games	Unknown	PDF	N/A
Principled Knowledge Extrapolation with GANs	Unknown	PDF	N/A
Not All Poisons are Created Equal: Robust Training against Data Poisoning	Unknown	PDF	N/A
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training	Unknown	PDF	N/A
DynaMixer: A Vision MLP Architecture with Dynamic Mixing	Unknown	PDF	N/A
Fenrir: Physics-Enhanced Regression for Initial Value Problems	Unknown	PDF	N/A
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces	Unknown	PDF	N/A
LCANets: Lateral Competition Improves Robustness Against Corruption and Attack	Unknown	PDF	N/A
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation	Unknown	PDF	N/A
Prototype-Anchored Learning for Learning with Imperfect Annotations	Unknown	PDF	N/A
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images	Unknown	PDF	N/A
Unraveling Attention via Convex Duality: Analysis and Interpretations of Vision Transformers	Unknown	PDF	N/A
Adaptive Gaussian Process Change Point Detection	Unknown	PDF	N/A
Hardness and Algorithms for Robust and Sparse Optimization	Unknown	PDF	N/A
Multi Resolution Analysis (MRA) for Approximate Self-Attention	Unknown	PDF	N/A
A Functional Information Perspective on Model Interpretation	Unknown	PDF	N/A
PAC-Net: A Model Pruning Approach to Inductive Transfer Learning	Unknown	PDF	N/A
Robust Policy Learning over Multiple Uncertainty Sets	Unknown	PDF	N/A
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization	Unknown	PDF	N/A
Fast Finite Width Neural Tangent Kernel	Unknown	PDF	N/A
Robustness in Multi-Objective Submodular Optimization: a Quantile Approach	Unknown	PDF	N/A
Optimal Estimation of Policy Gradient via Double Fitted Iteration	Unknown	PDF	N/A
Learning from Demonstration: Provably Efficient Adversarial Policy Imitation with Linear Function Approximation	Unknown	PDF	N/A
Rethinking Fano’s Inequality in Ensemble Learning	Unknown	PDF	N/A
Convergence of Uncertainty Sampling for Active Learning	Unknown	PDF	N/A
The Role of Deconfounding in Meta-learning	Unknown	PDF	N/A
Active fairness auditing	Unknown	PDF	N/A
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers	Unknown	PDF	N/A
Deep Hierarchy in Bandits	Unknown	PDF	N/A
Adversarially Trained Actor Critic for Offline Reinforcement Learning	Unknown	PDF	N/A
Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding	Unknown	PDF	N/A
Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series	Unknown	PDF	N/A
GACT: Activation Compressed Training for Generic Network Architectures	Unknown	PDF	N/A
Disentangling Disease-related Representation from Obscure for Disease Prediction	Unknown	PDF	N/A
Provable Reinforcement Learning with a Short-Term Memory	Unknown	PDF	N/A
Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense	Unknown	PDF	N/A
Secure Distributed Training at Scale	Unknown	PDF	N/A
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance	Unknown	PDF	N/A
Neuro-Symbolic Hierarchical Rule Induction	Unknown	PDF	N/A
pathGCN: Learning General Graph Spatial Operators from Paths	Unknown	PDF	N/A
Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization	Unknown	PDF	N/A
Conditional GANs with Auxiliary Discriminative Classifier	Unknown	PDF	N/A
Retrieval-Augmented Reinforcement Learning	Unknown	PDF	N/A
Generative Flow Networks for Discrete Probabilistic Modeling	Unknown	PDF	N/A
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks	Unknown	PDF	N/A
Adversarially trained neural representations are already as robust as biological neural representations	Unknown	PDF	N/A
A Parametric Class of Approximate Gradient Updates for Policy Optimization	Unknown	PDF	N/A
Interactively Learning Preference Constraints in Linear Bandits	Unknown	PDF	N/A
Robust Training under Label Noise by Over-parameterization	Unknown	PDF	N/A
Causal Conceptions of Fairness and their Consequences	Unknown	PDF	N/A
Flow-based Recurrent Belief State Learning for POMDPs	Unknown	PDF	N/A
Approximate Bayesian Computation with Domain Expert in the Loop	Unknown	PDF	N/A
Multi-Task Learning as a Bargaining Game	Unknown	PDF	N/A
Investigating Generalization by Controlling Normalized Margin	Unknown	PDF	N/A
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations	Unknown	PDF	N/A
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits	Unknown	PDF	N/A
MAML and ANIL Provably Learn Representations	Unknown	PDF	N/A
Model-Free Opponent Shaping	Unknown	PDF	N/A
Optimizing Sequential Experimental Design with Deep Reinforcement Learning	Unknown	PDF	N/A
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features	Unknown	PDF	N/A
The Multivariate Community Hawkes Model for Dependent Relational Events in Continuous-time Networks	Unknown	PDF	N/A
Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning	Unknown	PDF	N/A
Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression	Unknown	PDF	N/A
Variational Inference with Locally Enhanced Bounds for Hierarchical Models	Unknown	PDF	N/A
Branching Reinforcement Learning	Unknown	PDF	N/A
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games	Unknown	PDF	N/A
Metric-Fair Classifier Derandomization	Unknown	PDF	N/A
Partial Counterfactual Identification from Observational and Experimental Data	Unknown	PDF	N/A
Correlated Quantization for Distributed Mean Estimation and Optimization	Unknown	PDF	N/A
Transformers are Meta-Reinforcement Learners	Unknown	PDF	N/A
Temporal Difference Learning for Model Predictive Control	Unknown	PDF	N/A
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance	Unknown	PDF	N/A
Fair Generalized Linear Models with a Convex Penalty	Unknown	PDF	N/A
A Simple Guard for Learned Optimizers	Unknown	PDF	N/A
Federated Learning with Positive and Unlabeled Data	Unknown	PDF	N/A
A Langevin-like Sampler for Discrete Distributions	Unknown	PDF	N/A
Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile	Unknown	PDF	N/A
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation	Unknown	PDF	N/A
Data-SUITE: Data-centric identification of in-distribution incongruous examples	Unknown	PDF	N/A
LyaNet: A Lyapunov Framework for Training Neural ODEs	Unknown	PDF	N/A
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks	Unknown	PDF	N/A
Bit Prioritization in Variational Autoencoders via Progressive Coding	Unknown	PDF	N/A
Wide Neural Networks Forget Less Catastrophically	Unknown	PDF	N/A
Model Selection in Batch Policy Optimization	Unknown	PDF	N/A
On the Difficulty of Defending Self-Supervised Learning against Model Extraction	Unknown	PDF	N/A
To Smooth or Not? When Label Smoothing Meets Noisy Labels	Unknown	PDF	N/A
Improving Screening Processes via Calibrated Subset Selection	Unknown	PDF	N/A
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum	Unknown	PDF	N/A
A Regret Minimization Approach to Multi-Agent Control	Unknown	PDF	N/A
Asking for Knowledge (AFK): Training RL Agents to Query External Knowledge Using Language	Unknown	PDF	N/A
Streaming Inference for Infinite Feature Models	Unknown	PDF	N/A
Examining Scaling and Transfer of Language Model Architectures for Machine Translation	Unknown	PDF	N/A
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games	Unknown	PDF	N/A
FedNL: Making Newton-Type Methods Applicable to Federated Learning	Unknown	PDF	N/A
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification	Unknown	PDF	N/A
Exact Optimal Accelerated Complexity for Fixed-Point Iterations	Unknown	PDF	N/A
Fairness with Adaptive Weights	Unknown	PDF	N/A
Efficient Representation Learning via Adaptive Context Pooling	Unknown	PDF	N/A
Anarchic Federated Learning	Unknown	PDF	N/A
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks	Unknown	PDF	N/A
On Measuring Causal Contributions via do-interventions	Unknown	PDF	N/A
Making Linear MDPs Practical via Contrastive Representation Learning	Unknown	PDF	N/A
Building Robust Ensembles via Margin Boosting	Unknown	PDF	N/A
On Last-Iterate Convergence Beyond Zero-Sum Games	Unknown	PDF	N/A
Learning fair representation with a parametric integral probability metric	Unknown	PDF	N/A
Extracting Latent State Representations with Linear Dynamics from Rich Observations	Unknown	PDF	N/A
Forward Operator Estimation in Generative Models with Kernel Transfer Operators	Unknown	PDF	N/A
Decentralized Online Convex Optimization in Networked Systems	Unknown	PDF	N/A
Burst-Dependent Plasticity and Dendritic Amplification Support Target-Based Learning and Hierarchical Imitation Learning	Unknown	PDF	N/A
Contextual Bandits with Large Action Spaces: Made Practical	Unknown	PDF	N/A
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training	Unknown	PDF	N/A
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features	Unknown	PDF	N/A
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time	Unknown	PDF	N/A
Feature Space Particle Inference for Neural Network Ensembles	Unknown	PDF	N/A
Linear Complexity Randomized Self-attention Mechanism	Unknown	PDF	N/A
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP	Unknown	PDF	N/A
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems	Unknown	PDF	N/A
Robust Counterfactual Explanations for Tree-Based Ensembles	Unknown	PDF	N/A
A New Perspective on the Effects of Spectrum in Graph Neural Networks	Unknown	PDF	N/A
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces	Unknown	PDF	N/A
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces	Unknown	PDF	N/A
Datamodels: Understanding Predictions with Data and Data with Predictions	Unknown	PDF	N/A
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics	Unknown	PDF	N/A
ActiveHedge: Hedge meets Active Learning	Unknown	PDF	N/A
Principal Component Flows	Unknown	PDF	N/A
Maslow's Hammer in Catastrophic Forgetting: Node Re-Use vs. Node Activation	Unknown	PDF	N/A
Learning to Separate Voices by Spatial Regions	Unknown	PDF	N/A
On Numerical Integration in Neural Ordinary Differential Equations	Unknown	PDF	N/A
Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments	Unknown	PDF	N/A
On the Convergence of Local Stochastic Compositional Gradient Descent with Momentum	Unknown	PDF	N/A
Domain Adaptation for Time Series Forecasting via Attention Sharing	Unknown	PDF	N/A
DNA: Domain Generalization with Diversified Neural Averaging	Unknown	PDF	N/A
Architecture Agnostic Federated Learning for Neural Networks	Unknown	PDF	N/A
Leverage Score Sampling for Tensor Product Matrices in Input Sparsity Time	Unknown	PDF	N/A
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning	Unknown	PDF	N/A
Understanding Robust Generalization in Learning Regular Languages	Unknown	PDF	N/A
Minimax M-estimation under Adversarial Contamination	Unknown	PDF	N/A
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring	Unknown	PDF	N/A
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms	Unknown	PDF	N/A
Easy Variational Inference for Categorical Models via an Independent Binary Approximation	Unknown	PDF	N/A
Training Your Sparse Neural Network Better with Any Mask	Unknown	PDF	N/A
How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection	Unknown	PDF	N/A
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning	Unknown	PDF	N/A
Coordinated Attacks against Contextual Bandits: Fundamental Limits and Defense Mechanisms	Unknown	PDF	N/A
On Learning Mixture of Linear Regressions in the Non-Realizable Setting	Unknown	PDF	N/A
Sparsity in Partially Controllable Linear Systems	Unknown	PDF	N/A
On the Equivalence Between Temporal and Static Equivariant Graph Representations	Unknown	PDF	N/A
ButterflyFlow: Building Invertible Layers with Butterfly Matrices	Unknown	PDF	N/A
Structured Stochastic Gradient MCMC	Unknown	PDF	N/A
Scaling Out-of-Distribution Detection for Real-World Settings	Unknown	PDF	N/A
Towards Uniformly Superhuman Autonomy via Subdominance Minimization	Unknown	PDF	N/A
RUMs from Head-to-Head Contests	Unknown	PDF	N/A
Set Norm and Equivariant Skip Connections: Putting the Deep in Deep Sets	Unknown	PDF	N/A
Learning inverse folding from millions of predicted structures	Unknown	PDF	N/A
When Are Linear Stochastic Bandits Attackable?	Unknown	PDF	N/A
VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis	Unknown	PDF	N/A
Streaming Algorithms for High-Dimensional Robust Statistics	Unknown	PDF	N/A
Practical Almost-Linear-Time Approximation Algorithms for Hybrid and Overlapping Graph Clustering	Unknown	PDF	N/A
Distributionally Robust $Q$-Learning	Unknown	PDF	N/A
Optimally Controllable Perceptual Lossy Compression	Unknown	PDF	N/A
On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis	Unknown	PDF	N/A
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes	Unknown	PDF	N/A
Learning Stochastic Shortest Path with Linear Function Approximation	Unknown	PDF	N/A
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification	Unknown	PDF	N/A
Exploiting Independent Instruments: Identification and Distribution Generalization	Unknown	PDF	N/A
Thompson Sampling for Robust Transfer in Multi-Task Bandits	Unknown	PDF	N/A
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily	Unknown	PDF	N/A
A Model-Agnostic Randomized Learning Framework based on Random Hypothesis Subspace Sampling	Unknown	PDF	N/A
Cycle Representation Learning for Inductive Relation Prediction	Unknown	PDF	N/A
A Simple Reward-free Approach to Constrained Reinforcement Learning	Unknown	PDF	N/A
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition	Unknown	PDF	N/A
Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models	Unknown	PDF	N/A
Coordinated Double Machine Learning	Unknown	PDF	N/A
Causal Dynamics Learning for Task-Independent State Abstraction	Unknown	PDF	N/A
Identification of Linear Non-Gaussian Latent Hierarchical Structure	Unknown	PDF	N/A
Robust Multi-Objective Bayesian Optimization Under Input Noise	Unknown	PDF	N/A
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning	Unknown	PDF	N/A
EqR: Equivariant Representations for Data-Efficient Reinforcement Learning	Unknown	PDF	N/A
Robustness Verification for Contrastive Learning	Unknown	PDF	N/A
Does the Data Induce Capacity Control in Deep Learning?	Unknown	PDF	N/A
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack	Unknown	PDF	N/A
Training Discrete Deep Generative Models via Gapped Straight-Through Estimator	Unknown	PDF	N/A
A Framework for Learning to Request Rich and Contextually Useful Information from Humans	Unknown	PDF	N/A
Regret Minimization with Performative Feedback	Unknown	PDF	N/A
Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.	Unknown	PDF	N/A
Variational Wasserstein gradient flow	Unknown	PDF	N/A
Hermite Polynomial Features for Private Data Generation	Unknown	PDF	N/A
N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations	Unknown	PDF	N/A
Locally Sparse Neural Networks for Tabular Biomedical Data	Unknown	PDF	N/A
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments	Unknown	PDF	N/A
On Non-local Convergence Analysis of Deep Linear Networks	Unknown	PDF	N/A
No-Regret Learning in Partially-Informed Auctions	Unknown	PDF	N/A
Universal and data-adaptive algorithms for model selection in linear contextual bandits	Unknown	PDF	N/A
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy	Unknown	PDF	N/A
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters	Unknown	PDF	N/A
De novo mass spectrometry peptide sequencing with a transformer model	Unknown	PDF	N/A
Learning Augmented Binary Search Trees	Unknown	PDF	N/A
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification	Unknown	PDF	N/A
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games	Unknown	PDF	N/A
Probabilistically Robust Learning: Balancing Average- and Worst-case Performance	Unknown	PDF	N/A
Differentially Private Community Detection for Stochastic Block Models	Unknown	PDF	N/A
A Study on the Ramanujan Graph Property of Winning Lottery Tickets	Unknown	PDF	N/A
Local Augmentation for Graph Neural Networks	Unknown	PDF	N/A
Learning from Counterfactual Links for Link Prediction	Unknown	PDF	N/A
H-Consistency Bounds for Surrogate Loss Minimizers	Unknown	PDF	N/A
VariGrow: Variational Architecture Growing for Task-Agnostic Continual Learning based on Bayesian Novelty	Unknown	PDF	N/A
Topology-Aware Network Pruning using Multi-stage Graph Embedding and Reinforcement Learning	Unknown	PDF	N/A
A deep convolutional neural network that is invariant to time rescaling	Unknown	PDF	N/A
Improved Regret for Differentially Private Exploration in Linear MDP	Unknown	PDF	N/A
Supervised Learning with General Risk Functionals	Unknown	PDF	N/A
Combining Diverse Feature Priors	Unknown	PDF	N/A
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum	Unknown	PDF	N/A
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling	Unknown	PDF	N/A
Do Differentiable Simulators Give Better Policy Gradients?	Unknown	PDF	N/A
Entropic Causal Inference: Graph Identifiability	Unknown	PDF	N/A
Counterfactual Transportability: A Formal Approach	Unknown	PDF	N/A
BAMDT: Bayesian Additive Semi-Multivariate Decision Trees for Nonparametric Regression	Unknown	PDF	N/A
Feature selection using e-values	Unknown	PDF	N/A
Augment with Care: Contrastive Learning for Combinatorial Problems	Unknown	PDF	N/A
LIMO: Latent Inceptionism for Targeted Molecule Generation	Unknown	PDF	N/A
Object Permanence Emerges in a Random Walk along Memory	Unknown	PDF	N/A
Imitation Learning by Estimating Expertise of Demonstrators	Unknown	PDF	N/A
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain	Unknown	PDF	N/A
Stabilizing Q-learning with Linear Architectures for Provable Efficient Learning	Unknown	PDF	N/A
Random Gegenbauer Features for Scalable Kernel Methods	Unknown	PDF	N/A
Proximal and Federated Random Reshuffling	Unknown	PDF	N/A
Neural Tangent Kernel Empowered Federated Learning	Unknown	PDF	N/A
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood	Unknown	PDF	N/A
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost	Unknown	PDF	N/A
An Analytical Update Rule for General Policy Optimization	Unknown	PDF	N/A
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks	Unknown	PDF	N/A
Meaningfully debugging model mistakes using conceptual counterfactual explanations	Unknown	PDF	N/A
The State of Sparse Training in Deep Reinforcement Learning	Unknown	PDF	N/A
Diffusion Models for Adversarial Purification	Unknown	PDF	N/A
Multirate Training of Neural Networks	Unknown	PDF	N/A
A Natural Actor-Critic Framework for Zero-Sum Markov Games	Unknown	PDF	N/A
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm	Unknown	PDF	N/A
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks	Unknown	PDF	N/A
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems	Unknown	PDF	N/A
DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks	Unknown	PDF	N/A
Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes	Unknown	PDF	N/A
Efficient Online ML API Selection for Multi-Label Classification Tasks	Unknown	PDF	N/A
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra	Unknown	PDF	N/A
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics	Unknown	PDF	N/A
Head2Toe: Utilizing Intermediate Representations for Better Transfer Learning	Unknown	PDF	N/A
Discrete Tree Flows via Tree-Structured Permutations	Unknown	PDF	N/A
On Transportation of Mini-batches: A Hierarchical Approach	Unknown	PDF	N/A
Understanding the unstable convergence of gradient descent	Unknown	PDF	N/A
Modeling Strong and Human-Like Gameplay with KL-Regularized Search	Unknown	PDF	N/A
Federated Reinforcement Learning: Linear Speedup Under Markovian Sampling	Unknown	PDF	N/A
Going Deeper into Permutation-Sensitive Graph Neural Networks	Unknown	PDF	N/A
Online Decision Transformer	Unknown	PDF	N/A
Streaming Algorithm for Monotone k-Submodular Maximization with Cardinality Constraints	Unknown	PDF	N/A
LSB: Local Self-Balancing MCMC in Discrete Spaces	Unknown	PDF	N/A
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning	Unknown	PDF	N/A
Sketching Algorithms and Lower Bounds for Ridge Regression	Unknown	PDF	N/A
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language	Unknown	PDF	N/A
Differentially Private Maximal Information Coefficients	Unknown	PDF	N/A
Accelerating Shapley Explanation via Contributive Cooperator Selection	Unknown	PDF	N/A
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees	Unknown	PDF	N/A
Antibody-Antigen Docking and Design via Hierarchical Structure Refinement	Unknown	PDF	N/A
When and How Mixup Improves Calibration	Unknown	PDF	N/A
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework	Unknown	PDF	N/A
Hessian-Free High-Resolution Nesterov Acceleration For Sampling	Unknown	PDF	N/A
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale	Unknown	PDF	N/A
Neural Inverse Transform Sampler	Unknown	PDF	N/A
Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees	Unknown	PDF	N/A
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach	Unknown	PDF	N/A
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Symmetric Machine Theory of Mind	Unknown	PDF	N/A
COAT: Measuring Object Compositionality in Emergent Representations	Unknown	PDF	N/A
Discrete Probabilistic Inverse Optimal Transport	Unknown	PDF	N/A
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics	Unknown	PDF	N/A
Role-based Multiplex Network Embedding	Unknown	PDF	N/A
Bayesian Imitation Learning for End-to-End Mobile Manipulation	Unknown	PDF	N/A
Constrained Variational Policy Optimization for Safe Reinforcement Learning	Unknown	PDF	N/A
POEM: Out-of-Distribution Detection with Posterior Sampling	Unknown	PDF	N/A
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information	Unknown	PDF	N/A
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits	Unknown	PDF	N/A
Federated Learning with Partial Model Personalization	Unknown	PDF	N/A
Entropic Gromov-Wasserstein between Gaussian Distributions	Unknown	PDF	N/A
Debiaser Beware: Pitfalls of Centering Regularized Transport Maps	Unknown	PDF	N/A
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources	Unknown	PDF	N/A
G-Mixup: Graph Data Augmentation for Graph Classification	Unknown	PDF	N/A
Selective Network Linearization for Efficient Private Inference	Unknown	PDF	N/A
Dual Perspective of Label-Specific Feature Learning for Multi-Label Classification	Unknown	PDF	N/A
Measure Estimation in the Barycentric Coding Model	Unknown	PDF	N/A
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks	Unknown	PDF	N/A
Distinguishing rule- and exemplar-based generalization in learning systems	Unknown	PDF	N/A
Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error	Unknown	PDF	N/A
Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching	Unknown	PDF	N/A
Rich Feature Construction for the Optimization-Generalization Dilemma	Unknown	PDF	N/A
Task-aware Privacy Preservation for Multi-dimensional Data	Unknown	PDF	N/A
TACTiS: Transformer-Attentional Copulas for Time Series	Unknown	PDF	N/A
Risk-Averse No-Regret Learning in Online Convex Games	Unknown	PDF	N/A
Fourier Learning with Cyclical Data	Unknown	PDF	N/A
Adaptive Second Order Coresets for Data-efficient Machine Learning	Unknown	PDF	N/A
Describing Differences between Text Distributions with Natural Language	Unknown	PDF	N/A
Uncertainty Modeling in Generative Compressed Sensing	Unknown	PDF	N/A
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance	Unknown	PDF	N/A
Scaling-up Diverse Orthogonal Convolutional Networks by a Paraunitary Framework	Unknown	PDF	N/A
Parsimonious Learning-Augmented Caching	Unknown	PDF	N/A
On the Statistical Benefits of Curriculum Learning	Unknown	PDF	N/A
GraphFM: Improving Large-Scale GNN Training via Feature Momentum	Unknown	PDF	N/A
NysADMM: faster composite convex optimization via low-rank approximation	Unknown	PDF	N/A
Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity	Unknown	PDF	N/A
Constrained Offline Policy Optimization	Unknown	PDF	N/A
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation	Unknown	PDF	N/A
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming	Unknown	PDF	N/A
Learning to Solve PDE-constrained Inverse Problems with Graph Networks	Unknown	PDF	N/A
Feature and Parameter Selection in Stochastic Linear Bandits	Unknown	PDF	N/A
Faster Algorithms for Learning Convex Functions	Unknown	PDF	N/A
Optimal Algorithms for Mean Estimation under Local Differential Privacy	Unknown	PDF	N/A
Removing Batch Normalization Boosts Adversarial Training	Unknown	PDF	N/A
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions	Unknown	PDF	N/A
GALAXY: Graph-based Active Learning at the Extreme	Unknown	PDF	N/A
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization	Unknown	PDF	N/A
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points	Unknown	PDF	N/A
Implicit Bias of Linear Equivariant Networks	Unknown	PDF	N/A
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times	Unknown	PDF	N/A
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder	Unknown	PDF	N/A
The CLRS Algorithmic Reasoning Benchmark	Unknown	PDF	N/A
Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction	Unknown	PDF	N/A
Training OOD Detectors in their Natural Habitats	Unknown	PDF	N/A
Power-Law Escape Rate of SGD	Unknown	PDF	N/A
Why the Rich Get Richer? On the Balancedness of Random Partition Models	Unknown	PDF	N/A
Validating Causal Inference Methods	Unknown	PDF	N/A
Adversarial Vulnerability of Randomized Ensembles	Unknown	PDF	N/A
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out	Unknown	PDF	N/A
Achieving Minimax Rates in Pool-Based Batch Active Learning	Unknown	PDF	N/A
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces	Unknown	PDF	N/A
Detached Error Feedback for Distributed SGD with Random Sparsification	Unknown	PDF	N/A
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression	Unknown	PDF	N/A
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning	Unknown	PDF	N/A
Breaking the $\sqrt{T}$ Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits	Unknown	PDF	N/A
Weisfeiler-Lehman Meets Gromov-Wasserstein	Unknown	PDF	N/A
HyperPrompt: Prompt-based Task-Conditioning of Transformers	Unknown	PDF	N/A
Out-of-Distribution Detection with Deep Nearest Neighbors	Unknown	PDF	N/A
Bregman Power k-Means for Clustering Exponential Family Data	Unknown	PDF	N/A
Bounding the Width of Neural Networks via Coupled Initialization - A Worst Case Analysis	Unknown	PDF	N/A
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization	Unknown	PDF	N/A
Information Discrepancy in Strategic Learning	Unknown	PDF	N/A
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation	Unknown	PDF	N/A
Simultaneous Graph Signal Clustering and Graph Learning	Unknown	PDF	N/A
Fair Representation Learning through Implicit Path Alignment	Unknown	PDF	N/A
A General Recipe for Likelihood-free Bayesian Optimization	Unknown	PDF	N/A
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality	Unknown	PDF	N/A
Interactive Correlation Clustering with Existential Cluster Constraints	Unknown	PDF	N/A
Adaptive Random Walk Gradient Descent for Decentralized Optimization	Unknown	PDF	N/A
Differentiable Top-k Classification Learning	Unknown	PDF	N/A
Linear Bandit Algorithms with Sublinear Time Complexity	Unknown	PDF	N/A
A query-optimal algorithm for finding counterfactuals	Unknown	PDF	N/A
Label Ranking through Nonparametric Regression	Unknown	PDF	N/A
Agnostic Learnability of Halfspaces via Logistic Loss	Unknown	PDF	N/A
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach	Unknown	PDF	N/A
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations	Unknown	PDF	N/A
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes	Unknown	PDF	N/A
Optimal Clipping and Magnitude-aware Differentiation for Improved Quantization-aware Training	Unknown	PDF	N/A
DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck	Unknown	PDF	N/A
Generalizing Gaussian Smoothing for Random Search	Unknown	PDF	N/A
A Study of Face Obfuscation in ImageNet	Unknown	PDF	N/A
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs	Unknown	PDF	N/A
Sanity Simulations for Saliency Methods	Unknown	PDF	N/A
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows	Unknown	PDF	N/A
Variational Sparse Coding with Learned Thresholding	Unknown	PDF	N/A
Local Linear Convergence of Douglas-Rachford for Linear Programming: a Probabilistic Analysis	Unknown	PDF	N/A
Equivariant Diffusion for Molecule Generation in 3D	Unknown	PDF	N/A
Loss Function Learning for Domain Generalization by Implicit Gradient	Unknown	PDF	N/A
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images	Unknown	PDF	N/A
Contextual Information-Directed Sampling	Unknown	PDF	N/A
COLA: Consistent Learning with Opponent-Learning Awareness	Unknown	PDF	N/A
Adapting to Mixing Time in Stochastic Optimization with Markovian Data	Unknown	PDF	N/A
From data to functa: Your data point is a function and you can treat it like one	Unknown	PDF	N/A
Scaling Structured Inference with Randomization	Unknown	PDF	N/A
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets	Unknown	PDF	N/A
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective	Unknown	PDF	N/A
Learning to Infer Structures of Network Games	Unknown	PDF	N/A
Translatotron 2: High-quality direct speech-to-speech translation with voice preservation	Unknown	PDF	N/A
Faster Fundamental Graph Algorithms via Learned Predictions	Unknown	PDF	N/A
Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows	Unknown	PDF	N/A
In defense of dual-encoders for neural ranking	Unknown	PDF	N/A
MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection	Unknown	PDF	N/A
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data	Unknown	PDF	N/A
Nesterov Accelerated Shuffling Gradient Method for Convex Optimization	Unknown	PDF	N/A
What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us?	Unknown	PDF	N/A
Algorithms for the Communication of Samples	Unknown	PDF	N/A
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses	Unknown	PDF	N/A
Nearly Optimal Policy Optimization with Stable at Any Time Guarantee	Unknown	PDF	N/A
Analysis of Stochastic Processes through Replay Buffers	Unknown	PDF	N/A
Generalized Strategic Classification and the Case of Aligned Incentives	Unknown	PDF	N/A
Policy Gradient Method For Robust Reinforcement Learning	Unknown	PDF	N/A
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data Augmentations	Unknown	PDF	N/A
Structure-preserving GANs	Unknown	PDF	N/A
Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation	Unknown	PDF	N/A
Tell me why! Explanations support learning relational and causal structure	Unknown	PDF	N/A
A Random Matrix Analysis of Data Stream Clustering: Coping With Limited Memory Resources	Unknown	PDF	N/A
A Minimax Learning Approach to Off-Policy Evaluation in Confounded Partially Observable Markov Decision Processes	Unknown	PDF	N/A
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning	Unknown	PDF	N/A
Towards Coherent and Consistent Use of Entities in Narrative Generation	Unknown	PDF	N/A
Certified Neural Network Watermarks with Randomized Smoothing	Unknown	PDF	N/A
On the Practicality of Deterministic Epistemic Uncertainty	Unknown	PDF	N/A
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning	Unknown	PDF	N/A
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions	Unknown	PDF	N/A
Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds	Unknown	PDF	N/A
Modeling Structure with Undirected Neural Networks	Unknown	PDF	N/A
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime	Unknown	PDF	N/A
Inducing Causal Structure for Interpretable Neural Networks	Unknown	PDF	N/A
Controlling Conditional Language Models without Catastrophic Forgetting	Unknown	PDF	N/A
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks	Unknown	PDF	N/A
A Differential Entropy Estimator for Training Neural Networks	Unknown	PDF	N/A
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval	Unknown	PDF	N/A
Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent	Unknown	PDF	N/A
Scalable Computation of Causal Bounds	Unknown	PDF	N/A
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them	Unknown	PDF	N/A
Tight and Robust Private Mean Estimation with Few Users	Unknown	PDF	N/A
Strategies for Safe Multi-Armed Bandits with Logarithmic Regret and Risk	Unknown	PDF	N/A
Modeling Irregular Time Series with Continuous Recurrent Units	Unknown	PDF	N/A
No-Regret Learning in Time-Varying Zero-Sum Games	Unknown	PDF	N/A
Curriculum Reinforcement Learning via Constrained Optimal Transport	Unknown	PDF	N/A
Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models	Unknown	PDF	N/A
PAC-Bayesian Bounds on Rate-Efficient Classifiers	Unknown	PDF	N/A
Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model	Unknown	PDF	N/A
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale	Unknown	PDF	N/A
Probabilistic ODE Solutions in Millions of Dimensions	Unknown	PDF	N/A
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests	Unknown	PDF	N/A
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization	Unknown	PDF	N/A
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming	Unknown	PDF	N/A
FriendlyCore: Practical Differentially Private Aggregation	Unknown	PDF	N/A
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models	Unknown	PDF	N/A
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests	Unknown	PDF	N/A
Robust Kernel Density Estimation with Median-of-Means principle	Unknown	PDF	N/A
Evolving Curricula with Regret-Based Environment Design	Unknown	PDF	N/A
The Importance of Non-Markovianity in Maximum State Entropy Exploration	Unknown	PDF	N/A
Adversarial Masking for Self-Supervised Learning	Unknown	PDF	N/A
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension	Unknown	PDF	N/A
Inverse Contextual Bandits: Learning How Behavior Evolves over Time	Unknown	PDF	N/A
Adversarial Attacks on Gaussian Process Bandits	Unknown	PDF	N/A
Bayesian Nonparametrics for Offline Skill Discovery	Unknown	PDF	N/A
PDE-Based Optimal Strategy for Unconstrained Online Learning	Unknown	PDF	N/A
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization	Unknown	PDF	N/A
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data	Unknown	PDF	N/A
Shuffle Private Linear Contextual Bandits	Unknown	PDF	N/A
Universality of Winning Tickets: A Renormalization Group Perspective	Unknown	PDF	N/A
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks	Unknown	PDF	N/A
SDQ: Stochastic Differentiable Quantization with Mixed Precision	Unknown	PDF	N/A
Direct Behavior Specification via Constrained Reinforcement Learning	Unknown	PDF	N/A
Translating Robot Skills: Learning Unsupervised Skill Correspondences Across Robots	Unknown	PDF	N/A
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass	Unknown	PDF	N/A
Invariant Ancestry Search	Unknown	PDF	N/A
Least Squares Estimation using Sketched Data with Heteroskedastic Errors	Unknown	PDF	N/A
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning	Unknown	PDF	N/A
Convergence and Recovery Guarantees of the K-Subspaces Method for Subspace Clustering	Unknown	PDF	N/A
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs	Unknown	PDF	N/A
A Psychological Theory of Explainability	Unknown	PDF	N/A
Composing Partial Differential Equations with Physics-Aware Neural Networks	Unknown	PDF	N/A
Stochastic Rising Bandits	Unknown	PDF	N/A
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models	Unknown	PDF	N/A
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data	Unknown	PDF	N/A
Geometric Multimodal Contrastive Representation Learning	Unknown	PDF	N/A
NOMU: Neural Optimization-based Model Uncertainty	Unknown	PDF	N/A
Neural-Symbolic Models for Logical Queries on Knowledge Graphs	Unknown	PDF	N/A
The Infinite Contextual Graph Markov Model	Unknown	PDF	N/A
Federated Learning with Label Distribution Skew via Logits Calibration	Unknown	PDF	N/A
RetrievalGuard: Provably Robust 1-Nearest Neighbor Image Retrieval	Unknown	PDF	N/A
Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling	Unknown	PDF	N/A
Deep symbolic regression for recurrence prediction	Unknown	PDF	N/A
Kernel Methods for Radial Transformed Compositional Data with Many Zeros	Unknown	PDF	N/A
Equivariance versus Augmentation for Spherical Images	Unknown	PDF	N/A
Adversarial Robustness against Multiple and Single $l_p$-Threat Models via Quick Fine-Tuning of Robust Classifiers	Unknown	PDF	N/A
Decomposing Temporal High-Order Interactions via Latent ODEs	Unknown	PDF	N/A
Nearly Optimal Catoni’s M-estimator for Infinite Variance	Unknown	PDF	N/A
Label-Free Explainability for Unsupervised Models	Unknown	PDF	N/A
AutoIP: A United Framework to Integrate Physics into Gaussian Processes	Unknown	PDF	N/A
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations	Unknown	PDF	N/A
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers	Unknown	PDF	N/A
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models	Unknown	PDF	N/A
Nonlinear Feature Diffusion on Hypergraphs	Unknown	PDF	N/A
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings	Unknown	PDF	N/A
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs	Unknown	PDF	N/A
Self-supervised Models are Good Teaching Assistants for Vision Transformers	Unknown	PDF	N/A
ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases	Unknown	PDF	N/A
Delay-Adaptive Step-sizes for Asynchronous Learning	Unknown	PDF	N/A
Transfer Learning In Differential Privacy's Hybrid-Model	Unknown	PDF	N/A
On the Finite-Time Performance of the Knowledge Gradient Algorithm	Unknown	PDF	N/A
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control	Unknown	PDF	N/A
Dynamic Topic Models for Temporal Document Networks	Unknown	PDF	N/A
Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits	Unknown	PDF	N/A
Variational On-the-Fly Personalization	Unknown	PDF	N/A
Re-evaluating Word Mover's Distance	Unknown	PDF	N/A
Revisiting the Effects of Stochasticity for Hamiltonian Samplers	Unknown	PDF	N/A
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration	Unknown	PDF	N/A
Difference Advantage Estimation for Multi-Agent Policy Gradients	Unknown	PDF	N/A
A Joint Exponential Mechanism For Differentially Private Top-$k$	Unknown	PDF	N/A
Being Properly Improper	Unknown	PDF	N/A
Global Optimization Networks	Unknown	PDF	N/A
On the Effects of Artificial Data Modification	Unknown	PDF	N/A
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning	Unknown	PDF	N/A
Robustness Implies Generalization via Data-Dependent Generalization Bounds	Unknown	PDF	N/A
Order Constraints in Optimal Transport	Unknown	PDF	N/A
Estimation in Rotationally Invariant Generalized Linear Models via Approximate Message Passing	Unknown	PDF	N/A
Safe Exploration for Efficient Policy Evaluation and Comparison	Unknown	PDF	N/A
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning	Unknown	PDF	N/A
Residual-Based Sampling for Online Outlier-Robust PCA	Unknown	PDF	N/A
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective	Unknown	PDF	N/A
Efficient PAC Learning from the Crowd with Pairwise Comparisons	Unknown	PDF	N/A
Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more	Unknown	PDF	N/A
Generalized Federated Learning via Sharpness Aware Minimization	Unknown	PDF	N/A
NISPA: Neuro-Inspired Stability-Plasticity Adaptation for Continual Learning in Sparse Networks	Unknown	PDF	N/A
Off-Policy Reinforcement Learning with Delayed Rewards	Unknown	PDF	N/A
EAT-C: Environment-Adversarial sub-Task Curriculum for Efficient Reinforcement Learning	Unknown	PDF	N/A
Towards understanding how momentum improves generalization in deep learning	Unknown	PDF	N/A
One-Pass Diversified Sampling with Application to Terabyte-Scale Genomic Sequence Streams	Unknown	PDF	N/A
Stochastic Reweighted Gradient Descent	Unknown	PDF	N/A
Cooperative Online Learning in Stochastic and Adversarial MDPs	Unknown	PDF	N/A
Analyzing and Mitigating Interference in Neural Architecture Search	Unknown	PDF	N/A
Convergence of Invariant Graph Networks	Unknown	PDF	N/A
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees	Unknown	PDF	N/A
Partial Label Learning via Label Influence Function	Unknown	PDF	N/A
Instance Dependent Regret Analysis of Kernelized Bandits	Unknown	PDF	N/A
A Theoretical Comparison of Graph Neural Network Extensions	Unknown	PDF	N/A
Ripple Attention for Visual Perception with Sub-quadratic Complexity	Unknown	PDF	N/A
Offline Meta-Reinforcement Learning with Online Self-Supervision	Unknown	PDF	N/A
Prototype Based Classification from Hierarchy to Fairness	Unknown	PDF	N/A
Understanding Robust Overfitting of Adversarial Training and Beyond	Unknown	PDF	N/A
Fast Provably Robust Decision Trees and Boosting	Unknown	PDF	N/A
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution	Unknown	PDF	N/A
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity	Unknown	PDF	N/A
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone	Unknown	PDF	N/A
Deep Squared Euclidean Approximation to the Levenshtein Distance for DNA Storage	Unknown	PDF	N/A
Simple and near-optimal algorithms for hidden stratification and multi-group learning	Unknown	PDF	N/A
Function-space Inference with Sparse Implicit Processes	Unknown	PDF	N/A
C-algebra Net: A New Approach Generalizing Neural Network Parameters to C-algebra	Unknown	PDF	N/A
Equivariant Quantum Graph Circuits	Unknown	PDF	N/A
Attentional Meta-learners for Few-shot Polythetic Classification	Unknown	PDF	N/A
Neural Network Pruning Denoises the Features and Makes Local Connectivity Emerge in Visual Tasks	Unknown	PDF	N/A
Nonparametric Embeddings of Sparse High-Order Interaction Events	Unknown	PDF	N/A
Robust Models Are More Interpretable Because Attributions Look Normal	Unknown	PDF	N/A
Divergence-Regularized Multi-Agent Actor-Critic	Unknown	PDF	N/A
Class-Imbalanced Semi-Supervised Learning with Adaptive Thresholding	Unknown	PDF	N/A
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning	Unknown	PDF	N/A
Generative Trees: Adversarial and Copycat	Unknown	PDF	N/A
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes	Unknown	PDF	N/A
Learning Domain Adaptive Object Detection with Probabilistic Teacher	Unknown	PDF	N/A
Matching Structure for Dual Learning	Unknown	PDF	N/A
Large Batch Experience Replay	Unknown	PDF	N/A
Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets	Unknown	PDF	N/A
Input Dependent Sparse Gaussian Processes	Unknown	PDF	N/A
Sublinear-Time Clustering Oracle for Signed Graphs	Unknown	PDF	N/A
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications	Unknown	PDF	N/A
Continuous Control with Action Quantization from Demonstrations	Unknown	PDF	N/A
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees	Unknown	PDF	N/A
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network	Unknown	PDF	N/A
A Neural Tangent Kernel Perspective of GANs	Unknown	PDF	N/A
On Well-posedness and Minimax Optimal Rates of Nonparametric Q-function Estimation in Off-policy Evaluation	Unknown	PDF	N/A
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks	Unknown	PDF	N/A
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach	Unknown	PDF	N/A
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation	Unknown	PDF	N/A
Differentially Private Approximate Quantiles	Unknown	PDF	N/A
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition	Unknown	PDF	N/A
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization	Unknown	PDF	N/A
Centroid Approximation for Bootstrap: Improving Particle Quality at Inference	Unknown	PDF	N/A
Learning Mixtures of Linear Dynamical Systems	Unknown	PDF	N/A
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training	Unknown	PDF	N/A
Adaptive Data Analysis with Correlated Observations	Unknown	PDF	N/A
$p$-Laplacian Based Graph Neural Networks	Unknown	PDF	N/A
Adapting k-means Algorithms for Outliers	Unknown	PDF	N/A
Smoothed Adaptive Weighting for Imbalanced Semi-Supervised Learning: Improve Reliability Against Unknown Distribution Data	Unknown	PDF	N/A
Surrogate Likelihoods for Variational Annealed Importance Sampling	Unknown	PDF	N/A
Learning to Hash Robustly, Guaranteed	Unknown	PDF	N/A
Bounding Training Data Reconstruction in Private (Deep) Learning	Unknown	PDF	N/A
Massively Parallel $k$-Means Clustering for Perturbation Resilient Instances	Unknown	PDF	N/A
Bayesian Continuous-Time Tucker Decomposition	Unknown	PDF	N/A
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures	Unknown	PDF	N/A
Fairness Interventions as (Dis)Incentives for Strategic Manipulation	Unknown	PDF	N/A
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion	Unknown	PDF	N/A
DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting	Unknown	PDF	N/A
Learning Stable Classifiers by Transferring Unstable Features	Unknown	PDF	N/A
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning	Unknown	PDF	N/A
Fast-Rate PAC-Bayesian Generalization Bounds for Meta-Learning	Unknown	PDF	N/A
Congested Bandits: Optimal Routing via Short-term Resets	Unknown	PDF	N/A
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria	Unknown	PDF	N/A
A Resilient Distributed Boosting Algorithm	Unknown	PDF	N/A
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation	Unknown	PDF	N/A
QSFL: A Two-Level Uplink Communication Optimization Framework for Federated Learning	Unknown	PDF	N/A
Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification	Unknown	PDF	N/A
Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards	Unknown	PDF	N/A
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals	Unknown	PDF	N/A
The dynamics of representation learning in shallow, non-linear autoencoders	Unknown	PDF	N/A
Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations	Unknown	PDF	N/A
Structural Entropy Guided Graph Hierarchical Pooling	Unknown	PDF	N/A
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning	Unknown	PDF	N/A
Large-scale Stochastic Optimization of NDCG Surrogates for Deep Learning with Provable Convergence	Unknown	PDF	N/A
Deep Probability Estimation	Unknown	PDF	N/A
SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization	Unknown	PDF	N/A
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features	Unknown	PDF	N/A
Detecting Corrupted Labels Without Training a Model to Predict	Unknown	PDF	N/A
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis	Unknown	PDF	N/A
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning	Unknown	PDF	N/A
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence	Unknown	PDF	N/A
Sample Efficient Learning of Predictors that Complement Humans	Unknown	PDF	N/A
Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense	Unknown	PDF	N/A
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers	Unknown	PDF	N/A
Generating 3D Molecules for Target Protein Binding	Unknown	PDF	N/A
Deep and Flexible Graph Neural Architecture Search	Unknown	PDF	N/A
Streaming Algorithms for Support-Aware Histograms	Unknown	PDF	N/A
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL	Unknown	PDF	N/A
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems	Unknown	PDF	N/A
Optimal Algorithms for Stochastic Multi-Level Compositional Optimization	Unknown	PDF	N/A
Off-Policy Evaluation for Large Action Spaces via Embeddings	Unknown	PDF	N/A
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training	Unknown	PDF	N/A
Learning Bellman Complete Representations for Offline Policy Evaluation	Unknown	PDF	N/A
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning	Unknown	PDF	N/A
GenLabel: Mixup Relabeling using Generative Models	Unknown	PDF	N/A
Diversified Adversarial Attacks based on Conjugate Gradient Method	Unknown	PDF	N/A
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning	Unknown	PDF	N/A
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models	Unknown	PDF	N/A
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching	Unknown	PDF	N/A
Efficient Test-Time Model Adaptation without Forgetting	Unknown	PDF	N/A
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(\epsilon^{-7/4})$ Complexity	Unknown	PDF	N/A
CerDEQ: Certifiable Deep Equilibrium Model	Unknown	PDF	N/A
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs	Unknown	PDF	N/A
Optimization-Induced Graph Implicit Nonlinear Diffusion	Unknown	PDF	N/A
G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters	Unknown	PDF	N/A
Auxiliary Learning with Joint Task and Data Scheduling	Unknown	PDF	N/A
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests	Unknown	PDF	N/A
Self-Supervised Representation Learning via Latent Graph Prediction	Unknown	PDF	N/A
Mitigating Neural Network Overconfidence with Logit Normalization	Unknown	PDF	N/A
Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets	Unknown	PDF	N/A
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition	Unknown	PDF	N/A
Online Learning with Knapsacks: the Best of Both Worlds	Unknown	PDF	N/A
Safe Learning in Tree-Form Sequential Decision Making: Handling Hard and Soft Constraints	Unknown	PDF	N/A
UnderGrad: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees	Unknown	PDF	N/A
AdaGrad Avoids Saddle Points	Unknown	PDF	N/A
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information	Unknown	PDF	N/A
BabelTower: Learning to Auto-parallelized Program Translation	Unknown	PDF	N/A
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration	Unknown	PDF	N/A
Fast Relative Entropy Coding with A* coding	Unknown	PDF	N/A
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood	Unknown	PDF	N/A
Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval	Unknown	PDF	N/A
Deep equilibrium networks are sensitive to initialization statistics	Unknown	PDF	N/A
Online Algorithms with Multiple Predictions	Unknown	PDF	N/A
Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity	Unknown	PDF	N/A
Dataset Condensation via Efficient Synthetic-Data Parameterization	Unknown	PDF	N/A
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning	Unknown	PDF	N/A
Batched Dueling Bandits	Unknown	PDF	N/A
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation	Unknown	PDF	N/A
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails	Unknown	PDF	N/A
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses	Unknown	PDF	N/A
Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning	Unknown	PDF	N/A
Gradient Descent on Neurons and its Link to Approximate Second-order Optimization	Unknown	PDF	N/A
Toward Compositional Generalization in Object-Oriented World Modeling	Unknown	PDF	N/A
C-MinHash: Improving Minwise Hashing with Circulant Permutation	Unknown	PDF	N/A
FOCUS: Familiar Objects in Common and Uncommon Settings	Unknown	PDF	N/A
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry	Unknown	PDF	N/A
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages	Unknown	PDF	N/A
(Non-)Convergence Results for Predictive Coding Networks	Unknown	PDF	N/A
Monarch: Expressive Structured Matrices for Efficient and Accurate Training	Unknown	PDF	N/A
Forget-free Continual Learning with Winning Subnetworks	Unknown	PDF	N/A
Constraint-based graph network simulator	Unknown	PDF	N/A
OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework	Unknown	PDF	N/A
Online Active Regression	Unknown	PDF	N/A
Achieving Fairness at No Utility Cost via Data Reweighing with Influence	Unknown	PDF	N/A
Additive Gaussian Processes Revisited	Unknown	PDF	N/A
Neural Network Poisson Models for Behavioural and Neural Spike Train Data	Unknown	PDF	N/A
Rotting Infinitely Many-Armed Bandits	Unknown	PDF	N/A
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions	Unknown	PDF	N/A
Scalable Spike-and-Slab	Unknown	PDF	N/A
Active Nearest Neighbor Regression Through Delaunay Refinement	Unknown	PDF	N/A
Active Multi-Task Representation Learning	Unknown	PDF	N/A
Utility Theory for Sequential Decision Making	Unknown	PDF	N/A
Generative Coarse-Graining of Molecular Conformations	Unknown	PDF	N/A
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules	Unknown	PDF	N/A
Improving Transformers with Probabilistic Attention Keys	Unknown	PDF	N/A
Cross-Space Active Learning on Graph Convolutional Networks	Unknown	PDF	N/A
Public Data-Assisted Mirror Descent for Private Model Training	Unknown	PDF	N/A
Thompson Sampling for (Combinatorial) Pure Exploration	Unknown	PDF	N/A
Greedy when Sure and Conservative when Uncertain about the Opponents	Unknown	PDF	N/A
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images	Unknown	PDF	N/A
Online Balanced Experimental Design	Unknown	PDF	N/A
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt	Unknown	PDF	N/A
What Language Model Architecture and Pretraining Objective Works Best for Zero-Shot Generalization?	Unknown	PDF	N/A
3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation	Unknown	PDF	N/A
TPC: Transformation-Specific Smoothing for Point Cloud Models	Unknown	PDF	N/A
Large-Scale Graph Neural Architecture Search	Unknown	PDF	N/A
Random Forest Density Estimation	Unknown	PDF	N/A
Particle Transformer for Jet Tagging	Unknown	PDF	N/A
A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds	Unknown	PDF	N/A
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs	Unknown	PDF	N/A
Communication-efficient Distributed Learning for Large Batch Optimization	Unknown	PDF	N/A
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework	Unknown	PDF	N/A
Metric-Fair Active Learning	Unknown	PDF	N/A
Thresholded Lasso Bandit	Unknown	PDF	N/A
Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots	Unknown	PDF	N/A
Benchmarking and Analyzing Point Cloud Classification under Corruptions	Unknown	PDF	N/A
Position Prediction as an Effective Pretraining Strategy	Unknown	PDF	N/A
Generalizing to New Physical Systems via Context-Informed Dynamics Model	Unknown	PDF	N/A
Multi-Level Branched Regularization for Federated Learning	Unknown	PDF	N/A
Efficient Variance Reduction for Meta-learning	Unknown	PDF	N/A
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers	Unknown	PDF	N/A
Double Sampling Randomized Smoothing	Unknown	PDF	N/A
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders	Unknown	PDF	N/A
History Compression via Language Models in Reinforcement Learning	Unknown	PDF	N/A
Non-Vacuous Generalisation Bounds for Shallow Neural Networks	Unknown	PDF	N/A

ICML 2023

Title	Author	PDF_Link	Code_URL
Sample Complexity Bounds for Learning High-dimensional Simplices in Noisy Regimes	Unknown	PDF	N/A
Grounding Language Models to Images for Multimodal Inputs and Outputs	Unknown	PDF	N/A
Training-Free Neural Active Learning with Initialization-Robustness Guarantees	Unknown	PDF	N/A
Scaling Vision Transformers to 22 Billion Parameters	Unknown	PDF	N/A
ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines	Unknown	PDF	N/A
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning	Unknown	PDF	N/A
Partial Optimality in Cubic Correlation Clustering	Unknown	PDF	N/A
Poisoning Language Models During Instruction Tuning	Unknown	PDF	N/A
Learning Distributions over Quantum Measurement Outcomes	Unknown	PDF	N/A
Recasting Self-Attention with Holographic Reduced Representations	Unknown	PDF	N/A
Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks	Unknown	PDF	N/A
Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features	Unknown	PDF	N/A
Fast Federated Machine Unlearning with Nonlinear Functional Theory	Unknown	PDF	N/A
End-to-End Full-Atom Antibody Design	Unknown	PDF	N/A
Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing	Unknown	PDF	N/A
Efficient Personalized Federated Learning via Sparse Model-Adaptation	Unknown	PDF	N/A
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting	Unknown	PDF	N/A
Equivariant Polynomials for Graph Neural Networks	Unknown	PDF	N/A
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames	Unknown	PDF	N/A
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction	Unknown	PDF	N/A
QASA: Advanced Question Answering on Scientific Articles	Unknown	PDF	N/A
Set-membership Belief State-based Reinforcement Learning for POMDPs	Unknown	PDF	N/A
Towards Unbiased Training in Federated Open-world Semi-supervised Learning	Unknown	PDF	N/A
NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation	Unknown	PDF	N/A
Temporally Consistent Transformers for Video Generation	Unknown	PDF	N/A
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent	Unknown	PDF	N/A
Tilted Sparse Additive Models	Unknown	PDF	N/A
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization	Unknown	PDF	N/A
Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise?	Unknown	PDF	N/A
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models	Unknown	PDF	N/A
A Coupled Flow Approach to Imitation Learning	Unknown	PDF	N/A
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation	Unknown	PDF	N/A
Adaptive Annealed Importance Sampling with Constant Rate Progress	Unknown	PDF	N/A
DoCoFL: Downlink Compression for Cross-Device Federated Learning	Unknown	PDF	N/A
Topological Point Cloud Clustering	Unknown	PDF	N/A
Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation	Unknown	PDF	N/A
PixelAsParam: A Gradient View on Diffusion Sampling with Guidance	Unknown	PDF	N/A
Adaptive Whitening in Neural Populations with Gain-modulating Interneurons	Unknown	PDF	N/A
The Hessian perspective into the Nature of Convolutional Neural Networks	Unknown	PDF	N/A
Reprogramming Pretrained Language Models for Antibody Sequence Infilling	Unknown	PDF	N/A
Unifying Nesterov's Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions	Unknown	PDF	N/A
Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation	Unknown	PDF	N/A
Complementary Attention for Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks	Unknown	PDF	N/A
Scaling Laws for Reward Model Overoptimization	Unknown	PDF	N/A
Reflected Diffusion Models	Unknown	PDF	N/A
LEVER: Learning to Verify Language-to-Code Generation with Execution	Unknown	PDF	N/A
Learning to Bid in Repeated First-Price Auctions with Budgets	Unknown	PDF	N/A
Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm.	Unknown	PDF	N/A
Multi-task Representation Learning for Pure Exploration in Linear Bandits	Unknown	PDF	N/A
Online Restless Bandits with Unobserved States	Unknown	PDF	N/A
Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning	Unknown	PDF	N/A
Out-of-Domain Robustness via Targeted Augmentations	Unknown	PDF	N/A
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning	Unknown	PDF	N/A
Test-time Adaptation with Slot-Centric Models	Unknown	PDF	N/A
Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization	Unknown	PDF	N/A
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond	Unknown	PDF	N/A
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute	Unknown	PDF	N/A
Conditions and Assumptions for Constraint-based Causal Structure Learning	Unknown	PDF	N/A
Fast Online Node Labeling for Very Large Graphs	Unknown	PDF	N/A
Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable	Unknown	PDF	N/A
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings	Unknown	PDF	N/A
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions	Unknown	PDF	N/A
Raising the Cost of Malicious AI-Powered Image Editing	Unknown	PDF	N/A
Competitive Gradient Optimization	Unknown	PDF	N/A
Graph Inductive Biases in Transformers without Message Passing	Unknown	PDF	N/A
Fast Sampling of Diffusion Models via Operator Learning	Unknown	PDF	N/A
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization	Unknown	PDF	N/A
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators	Unknown	PDF	N/A
Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling	Unknown	PDF	N/A
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm	Unknown	PDF	N/A
Revisiting Discriminative vs. Generative Classifiers: Theory and Implications	Unknown	PDF	N/A
Optimizing Hyperparameters with Conformal Quantile Regression	Unknown	PDF	N/A
Optimizing DDPM Sampling with Shortcut Fine-Tuning	Unknown	PDF	N/A
Federated Conformal Predictors for Distributed Uncertainty Quantification	Unknown	PDF	N/A
Future-conditioned Unsupervised Pretraining for Decision Transformer	Unknown	PDF	N/A
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design	Unknown	PDF	N/A
Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data	Unknown	PDF	N/A
Paging with Succinct Predictions	Unknown	PDF	N/A
Optimal Shrinkage for Distributed Second-Order Optimization	Unknown	PDF	N/A
A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree	Unknown	PDF	N/A
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels	Unknown	PDF	N/A
On Distribution Dependent Sub-Logarithmic Query Time of Learned Indexing	Unknown	PDF	N/A
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons	Unknown	PDF	N/A
Beyond Reward: Offline Preference-guided Policy Optimization	Unknown	PDF	N/A
Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator	Unknown	PDF	N/A
Correcting discount-factor mismatch in on-policy policy gradient methods	Unknown	PDF	N/A
The multimarginal optimal transport formulation of adversarial multiclass classification	Unknown	PDF	N/A
CLIPood: Generalizing CLIP to Out-of-Distributions	Unknown	PDF	N/A
A Law of Robustness beyond Isoperimetry	Unknown	PDF	N/A
Differential Privacy has Bounded Impact on Fairness in Classification	Unknown	PDF	N/A
Neural Status Registers	Unknown	PDF	N/A
Dimensionality Reduction for General KDE Mode Finding	Unknown	PDF	N/A
Which Invariance Should We Transfer? A Causal Minimax Learning Approach	Unknown	PDF	N/A
Does a Neural Network Really Encode Symbolic Concepts?	Unknown	PDF	N/A
AdaBoost is not an Optimal Weak to Strong Learner	Unknown	PDF	N/A
The Fast Johnson-Lindenstrauss Transform Is Even Faster	Unknown	PDF	N/A
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think	Unknown	PDF	N/A
Learning the Dynamics of Sparsely Observed Interacting Systems	Unknown	PDF	N/A
Constrained Decision Transformer for Offline Safe Reinforcement Learning	Unknown	PDF	N/A
Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling	Unknown	PDF	N/A
LinSATNet: The Positive Linear Satisfiability Neural Networks	Unknown	PDF	N/A
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models	Unknown	PDF	N/A
Consistency Models	Unknown	PDF	N/A
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects	Unknown	PDF	N/A
Self-supervised learning of Split Invariant Equivariant representations	Unknown	PDF	N/A
Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design	Unknown	PDF	N/A
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents	Unknown	PDF	N/A
A Two-Stage Active Learning Algorithm for k-Nearest Neighbors	Unknown	PDF	N/A
Data-Copying in Generative Models: A Formal Framework	Unknown	PDF	N/A
Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost	Unknown	PDF	N/A
Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems	Unknown	PDF	N/A
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning	Unknown	PDF	N/A
Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries	Unknown	PDF	N/A
Towards Theoretical Understanding of Inverse Reinforcement Learning	Unknown	PDF	N/A
Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization	Unknown	PDF	N/A
Learning Preconditioners for Conjugate Gradient PDE Solvers	Unknown	PDF	N/A
Anchor Sampling for Federated Learning with Partial Client Participation	Unknown	PDF	N/A
MG-GNN: Multigrid Graph Neural Networks for Learning Multilevel Domain Decomposition Methods	Unknown	PDF	N/A
Human-Timescale Adaptation in an Open-Ended Task Space	Unknown	PDF	N/A
Improving the Model Consistency of Decentralized Federated Learning	Unknown	PDF	N/A
Men Also Do Laundry: Multi-Attribute Bias Amplification	Unknown	PDF	N/A
Auxiliary Modality Learning with Generalized Curriculum Distillation	Unknown	PDF	N/A
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models	Unknown	PDF	N/A
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process	Unknown	PDF	N/A
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning	Unknown	PDF	N/A
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy	Unknown	PDF	N/A
A General Representation Learning Framework with Generalization Performance Guarantees	Unknown	PDF	N/A
SAAL: Sharpness-Aware Active Learning	Unknown	PDF	N/A
Brainformers: Trading Simplicity for Efficiency	Unknown	PDF	N/A
Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation	Unknown	PDF	N/A
Normalizing Flows for Interventional Density Estimation	Unknown	PDF	N/A
Is Overfitting Necessary for Implicit Video Representation?	Unknown	PDF	N/A
Fast Combinatorial Algorithms for Min Max Correlation Clustering	Unknown	PDF	N/A
Scaling Laws for Generative Mixed-Modal Language Models	Unknown	PDF	N/A
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm	Unknown	PDF	N/A
A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition	Unknown	PDF	N/A
Memory-Based Meta-Learning on Non-Stationary Distributions	Unknown	PDF	N/A
LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control	Unknown	PDF	N/A
Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation	Unknown	PDF	N/A
Margin-based Neural Network Watermarking	Unknown	PDF	N/A
Vector Quantized Wasserstein Auto-Encoder	Unknown	PDF	N/A
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability	Unknown	PDF	N/A
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning	Unknown	PDF	N/A
Geometric Autoencoders - What You See is What You Decode	Unknown	PDF	N/A
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms	Unknown	PDF	N/A
FAIRER: Fairness as Decision Rationale Alignment	Unknown	PDF	N/A
SE(3) diffusion model with application to protein backbone generation	Unknown	PDF	N/A
Performative Recommendation: Diversifying Content via Strategic Incentives	Unknown	PDF	N/A
How Does Information Bottleneck Help Deep Learning?	Unknown	PDF	N/A
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions	Unknown	PDF	N/A
Bidirectional Adaptation for Robust Semi-Supervised Learning with Inconsistent Data Distributions	Unknown	PDF	N/A
OpenFE: Automated Feature Generation with Expert-level Performance	Unknown	PDF	N/A
Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators	Unknown	PDF	N/A
On the Expressive Power of Geometric Graph Neural Networks	Unknown	PDF	N/A
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis	Unknown	PDF	N/A
Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration	Unknown	PDF	N/A
Optimal No-Regret Learning for One-Sided Lipschitz Functions	Unknown	PDF	N/A
Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes	Unknown	PDF	N/A
A Nearly-Optimal Bound for Fast Regression with $\ell_\infty$ Guarantee	Unknown	PDF	N/A
Simple and Fast Group Robustness by Automatic Feature Reweighting	Unknown	PDF	N/A
XTab: Cross-table Pretraining for Tabular Transformers	Unknown	PDF	N/A
Controlled Text Generation with Natural Language Instructions	Unknown	PDF	N/A
Adversarial robustness of amortized Bayesian inference	Unknown	PDF	N/A
Explaining Reinforcement Learning with Shapley Values	Unknown	PDF	N/A
Explaining the effects of non-convergent MCMC in the training of Energy-Based Models	Unknown	PDF	N/A
Exploring Chemical Space with Score-based Out-of-distribution Generation	Unknown	PDF	N/A
Second-Order Optimization with Lazy Hessians	Unknown	PDF	N/A
Great Models Think Alike: Improving Model Reliability via Inter-Model Latent Agreement	Unknown	PDF	N/A
Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?	Unknown	PDF	N/A
Hindsight Learning for MDPs with Exogenous Inputs	Unknown	PDF	N/A
Brauer's Group Equivariant Neural Networks	Unknown	PDF	N/A
Constrained Efficient Global Optimization of Expensive Black-box Functions	Unknown	PDF	N/A
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning	Unknown	PDF	N/A
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems	Unknown	PDF	N/A
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?	Unknown	PDF	N/A
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows	Unknown	PDF	N/A
The Wisdom of Hindsight Makes Language Models Better Instruction Followers	Unknown	PDF	N/A
Exploring Model Dynamics for Accumulative Poisoning Discovery	Unknown	PDF	N/A
High-dimensional Clustering onto Hamiltonian Cycle	Unknown	PDF	N/A
Bag of Tricks for Training Data Extraction from Language Models	Unknown	PDF	N/A
Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data	Unknown	PDF	N/A
Faith-Shap: The Faithful Shapley Interaction Index	Unknown	PDF	N/A
Curriculum Co-disentangled Representation Learning across Multiple Environments for Social Recommendation	Unknown	PDF	N/A
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining	Unknown	PDF	N/A
Vertical Federated Graph Neural Network for Recommender System	Unknown	PDF	N/A
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference	Unknown	PDF	N/A
Concept-based Explanations for Out-of-Distribution Detectors	Unknown	PDF	N/A
Understanding Plasticity in Neural Networks	Unknown	PDF	N/A
GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency	Unknown	PDF	N/A
Improved Learning-Augmented Algorithms for the Multi-Option Ski Rental Problem via Best-Possible Competitive Analysis	Unknown	PDF	N/A
The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation	Unknown	PDF	N/A
Gradient-Free Structured Pruning with Unlabeled Data	Unknown	PDF	N/A
Interpretable Neural-Symbolic Concept Reasoning	Unknown	PDF	N/A
XAI Beyond Classification: Interpretable Neural Clustering	Unknown	PDF	N/A
Blossom: an Anytime Algorithm for Computing Optimal Decision Trees	Unknown	PDF	N/A
Less is More: Task-aware Layer-wise Distillation for Language Model Compression	Unknown	PDF	N/A
Probabilistic Concept Bottleneck Models	Unknown	PDF	N/A
Optimizing Mode Connectivity for Class Incremental Learning	Unknown	PDF	N/A
Smart Initial Basis Selection for Linear Programs	Unknown	PDF	N/A
Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation	Unknown	PDF	N/A
Rethink DARTS Search Space and Renovate a New Benchmark	Unknown	PDF	N/A
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity	Unknown	PDF	N/A
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias	Unknown	PDF	N/A
Policy Contrastive Imitation Learning	Unknown	PDF	N/A
Statistical Inference and A/B Testing for First-Price Pacing Equilibria	Unknown	PDF	N/A
Stratified Adversarial Robustness with Rejection	Unknown	PDF	N/A
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents	Unknown	PDF	N/A
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation	Unknown	PDF	N/A
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization	Unknown	PDF	N/A
Uncertainty Estimation for Molecules: Desiderata and Methods	Unknown	PDF	N/A
Transformers Meet Directed Graphs	Unknown	PDF	N/A
Modeling Temporal Data as Continuous Functions with Stochastic Process Diffusion	Unknown	PDF	N/A
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution	Unknown	PDF	N/A
SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning	Unknown	PDF	N/A
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics	Unknown	PDF	N/A
Evolving Semantic Prototype Improves Generative Zero-Shot Learning	Unknown	PDF	N/A
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language	Unknown	PDF	N/A
Contextual Combinatorial Bandits with Probabilistically Triggered Arms	Unknown	PDF	N/A
Dataset Distillation with Convexified Implicit Gradients	Unknown	PDF	N/A
Structure-informed Language Models Are Protein Designers	Unknown	PDF	N/A
Cross-Modal Fine-Tuning: Align then Refine	Unknown	PDF	N/A
Prompting Large Language Model for Machine Translation: A Case Study	Unknown	PDF	N/A
Patch-level Contrastive Learning via Positional Query for Visual Pre-training	Unknown	PDF	N/A
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models	Unknown	PDF	N/A
Linear optimal partial transport embedding	Unknown	PDF	N/A
Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases	Unknown	PDF	N/A
Neural Network Approximations of PDEs Beyond Linearity: A Representational Perspective	Unknown	PDF	N/A
Counterfactual Identifiability of Bijective Causal Models	Unknown	PDF	N/A
Subequivariant Graph Reinforcement Learning in 3D Environments	Unknown	PDF	N/A
Generalized Polyak Step Size for First Order Optimization with Momentum	Unknown	PDF	N/A
On Investigating the Conservative Property of Score-Based Generative Models	Unknown	PDF	N/A
Oscillation-free Quantization for Low-bit Vision Transformers	Unknown	PDF	N/A
Leveraging Demonstrations to Improve Online Learning: Quality Matters	Unknown	PDF	N/A
Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation	Unknown	PDF	N/A
Causal Isotonic Calibration for Heterogeneous Treatment Effects	Unknown	PDF	N/A
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?	Unknown	PDF	N/A
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data	Unknown	PDF	N/A
Dynamical Linear Bandits	Unknown	PDF	N/A
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels	Unknown	PDF	N/A
Function-Space Regularization in Neural Networks: A Probabilistic Perspective	Unknown	PDF	N/A
Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation	Unknown	PDF	N/A
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics	Unknown	PDF	N/A
Streaming Active Learning with Deep Neural Networks	Unknown	PDF	N/A
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems	Unknown	PDF	N/A
Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples	Unknown	PDF	N/A
Escaping saddle points in zeroth-order optimization: the power of two-point estimators	Unknown	PDF	N/A
UMD: Unsupervised Model Detection for X2X Backdoor Attacks	Unknown	PDF	N/A
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning	Unknown	PDF	N/A
Kernel QuantTree	Unknown	PDF	N/A
Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations	Unknown	PDF	N/A
Long-Term Rhythmic Video Soundtracker	Unknown	PDF	N/A
Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization	Unknown	PDF	N/A
Memory-Based Dual Gaussian Processes for Sequential Learning	Unknown	PDF	N/A
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows	Unknown	PDF	N/A
Multi-Task Differential Privacy Under Distribution Skew	Unknown	PDF	N/A
Exploiting locality in high-dimensional Factorial hidden Markov models	Unknown	PDF	N/A
Inflow, Outflow, and Reciprocity in Machine Learning	Unknown	PDF	N/A
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective	Unknown	PDF	N/A
Behavior Contrastive Learning for Unsupervised Skill Discovery	Unknown	PDF	N/A
Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering	Unknown	PDF	N/A
Project and Forget: Solving Large-Scale Metric Constrained Problems	Unknown	PDF	N/A
Target-based Surrogates for Stochastic Optimization	Unknown	PDF	N/A
Transformers as Algorithms: Generalization and Stability in In-context Learning	Unknown	PDF	N/A
Sequence Modeling with Multiresolution Convolutional Memory	Unknown	PDF	N/A
Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence	Unknown	PDF	N/A
Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime	Unknown	PDF	N/A
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs	Unknown	PDF	N/A
ILLUME: Rationalizing Vision-Language Models through Human Interactions	Unknown	PDF	N/A
On the Convergence Rates of Policy Gradient Methods	Unknown	PDF	N/A
Quantifying Human Priors over Social and Navigation Networks	Unknown	PDF	N/A
Cluster-Specific Predictions with Multi-Task Gaussian Processes	Unknown	PDF	N/A
Disentangled Multiplex Graph Representation Learning	Unknown	PDF	N/A
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization	Unknown	PDF	N/A
Graph Generative Model for Benchmarking Graph Neural Networks	Unknown	PDF	N/A
A New PHO-rmula for Improved Performance of Semi-Structured Networks	Unknown	PDF	N/A
Federated Online and Bandit Convex Optimization	Unknown	PDF	N/A
Towards Trustworthy Explanation: On Causal Rationalization	Unknown	PDF	N/A
Emergent Agentic Transformer from Chain of Hindsight Experience	Unknown	PDF	N/A
Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds	Unknown	PDF	N/A
Rigid Body Flows for Sampling Molecular Crystal Structures	Unknown	PDF	N/A
Continual Learning in Linear Classification on Separable Data	Unknown	PDF	N/A
Hypervolume Knowledge Gradient: A Lookahead Approach for Multi-Objective Bayesian Optimization with Partial Information	Unknown	PDF	N/A
Combinatorial Neural Bandits	Unknown	PDF	N/A
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima	Unknown	PDF	N/A
Semi-Parametric Contextual Pricing Algorithm using Cox Proportional Hazards Model	Unknown	PDF	N/A
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations	Unknown	PDF	N/A
Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions	Unknown	PDF	N/A
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching	Unknown	PDF	N/A
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits	Unknown	PDF	N/A
Regularization-free Diffeomorphic Temporal Alignment Nets	Unknown	PDF	N/A
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling	Unknown	PDF	N/A
Learning Physical Models that Can Respect Conservation Laws	Unknown	PDF	N/A
Sampling random graph homomorphisms and applications to network data analysis	Unknown	PDF	N/A
Cooperative Open-ended Learning Framework for Zero-Shot Coordination	Unknown	PDF	N/A
Lazy Agents: A New Perspective on Solving Sparse Reward Problem in Multi-agent Reinforcement Learning	Unknown	PDF	N/A
Multi-Modal Classifiers for Open-Vocabulary Object Detection	Unknown	PDF	N/A
Optimizing the Collaboration Structure in Cross-Silo Federated Learning	Unknown	PDF	N/A
Effective Neural Topic Modeling with Embedding Clustering Regularization	Unknown	PDF	N/A
Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits	Unknown	PDF	N/A
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances	Unknown	PDF	N/A
LeadFL: Client Self-Defense against Model Poisoning in Federated Learning	Unknown	PDF	N/A
Generative Pretraining for Black-Box Optimization	Unknown	PDF	N/A
Diffusion Models for Black-Box Optimization	Unknown	PDF	N/A
Robust Budget Pacing with a Single Sample	Unknown	PDF	N/A
Mu$^2$SLAM: Multitask, Multilingual Speech and Language Models	Unknown	PDF	N/A
Thompson Sampling with Diffusion Generative Prior	Unknown	PDF	N/A
Revisiting Pseudo-Label for Single-Positive Multi-Label Learning	Unknown	PDF	N/A
Progressive Purification for Instance-Dependent Partial Label Learning	Unknown	PDF	N/A
Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization	Unknown	PDF	N/A
Patch-level Routing in Mixture-of-Experts is Provably Sample-efficient for Convolutional Neural Networks	Unknown	PDF	N/A
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests	Unknown	PDF	N/A
DDGR: Continual Learning with Deep Diffusion-based Generative Replay	Unknown	PDF	N/A
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization	Unknown	PDF	N/A
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates	Unknown	PDF	N/A
Free-Form Variational Inference for Gaussian Process State-Space Models	Unknown	PDF	N/A
Transformed Distribution Matching for Missing Value Imputation	Unknown	PDF	N/A
Identifying Useful Learnwares for Heterogeneous Label Spaces	Unknown	PDF	N/A
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure	Unknown	PDF	N/A
Disentangled Generative Models for Robust Prediction of System Dynamics	Unknown	PDF	N/A
Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning	Unknown	PDF	N/A
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach	Unknown	PDF	N/A
Dirichlet Diffusion Score Model for Biological Sequence Generation	Unknown	PDF	N/A
Lifelong Language Pretraining with Distribution-Specialized Experts	Unknown	PDF	N/A
Self-Interpretable Time Series Prediction with Counterfactual Explanations	Unknown	PDF	N/A
Robust Perception through Equivariance	Unknown	PDF	N/A
Is Learning Summary Statistics Necessary for Likelihood-free Inference?	Unknown	PDF	N/A
Simplex Random Features	Unknown	PDF	N/A
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum	Unknown	PDF	N/A
Efficient Bound of Lipschitz Constant for Convolutional Layers by Gram Iteration	Unknown	PDF	N/A
Data Poisoning Attacks Against Multimodal Encoders	Unknown	PDF	N/A
Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist	Unknown	PDF	N/A
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value	Unknown	PDF	N/A
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation	Unknown	PDF	N/A
Specializing Smaller Language Models towards Multi-Step Reasoning	Unknown	PDF	N/A
SeMAIL: Eliminating Distractors in Visual Imitation via Separated Models	Unknown	PDF	N/A
Continual Task Allocation in Meta-Policy Network via Sparse Prompting	Unknown	PDF	N/A
Structured Cooperative Learning with Graphical Model Priors	Unknown	PDF	N/A
Does Continual Learning Equally Forget All Parameters?	Unknown	PDF	N/A
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models	Unknown	PDF	N/A
Learning-Rate-Free Learning by D-Adaptation	Unknown	PDF	N/A
EM-Network: Oracle Guided Self-distillation for Sequence Learning	Unknown	PDF	N/A
Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets	Unknown	PDF	N/A
Implicit Graph Neural Networks: A Monotone Operator Viewpoint	Unknown	PDF	N/A
SurProGenes: Survival Risk-Ordered Representation of Cancer Patients and Genes for the Identification of Prognostic Genes	Unknown	PDF	N/A
Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch	Unknown	PDF	N/A
Towards Understanding Ensemble Distillation in Federated Learning	Unknown	PDF	N/A
On the Convergence of Federated Averaging with Cyclic Client Participation	Unknown	PDF	N/A
One-sided Matrix Completion from Two Observations Per Row	Unknown	PDF	N/A
Autoregressive Diffusion Model for Graph Generation	Unknown	PDF	N/A
Fast Private Kernel Density Estimation via Locality Sensitive Quantization	Unknown	PDF	N/A
Statistical Inference on Multi-armed Bandits with Delayed Feedback	Unknown	PDF	N/A
Robust Explanation for Free or At the Cost of Faithfulness	Unknown	PDF	N/A
Tight Data Access Bounds for Private Top-$k$ Selection	Unknown	PDF	N/A
dugMatting: Decomposed-Uncertainty-Guided Matting	Unknown	PDF	N/A
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents	Unknown	PDF	N/A
Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows	Unknown	PDF	N/A
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits	Unknown	PDF	N/A
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?	Unknown	PDF	N/A
Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions	Unknown	PDF	N/A
Resurrecting Recurrent Neural Networks for Long Sequences	Unknown	PDF	N/A
The Value of Out-of-Distribution Data	Unknown	PDF	N/A
Meta Optimal Transport	Unknown	PDF	N/A
A Picture of the Space of Typical Learnable Tasks	Unknown	PDF	N/A
Discover and Cure: Concept-aware Mitigation of Spurious Correlation	Unknown	PDF	N/A
Estimating Joint Treatment Effects by Combining Multiple Experiments	Unknown	PDF	N/A
Efficient Graph Field Integrators Meet Point Clouds	Unknown	PDF	N/A
Towards Reliable Neural Specifications	Unknown	PDF	N/A
On Computing Optimal Tree Ensembles	Unknown	PDF	N/A
Learning Mixtures of Gaussians with Censored Data	Unknown	PDF	N/A
Nonlinear Causal Discovery with Latent Confounders	Unknown	PDF	N/A
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification	Unknown	PDF	N/A
When is Realizability Sufficient for Off-Policy Reinforcement Learning?	Unknown	PDF	N/A
Provable Benefit of Mixup for Finding Optimal Decision Boundaries	Unknown	PDF	N/A
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals	Unknown	PDF	N/A
Performative Reinforcement Learning	Unknown	PDF	N/A
Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal	Unknown	PDF	N/A
Learning Control-Oriented Dynamical Structure from Data	Unknown	PDF	N/A
Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling	Unknown	PDF	N/A
Uncertain Evidence in Probabilistic Models and Stochastic Simulators	Unknown	PDF	N/A
Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization	Unknown	PDF	N/A
POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models	Unknown	PDF	N/A
Shape-Guided Dual-Memory Learning for 3D Anomaly Detection	Unknown	PDF	N/A
Temporal Label Smoothing for Early Event Prediction	Unknown	PDF	N/A
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning	Unknown	PDF	N/A
Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach	Unknown	PDF	N/A
Learning Rate Schedules in the Presence of Distribution Shift	Unknown	PDF	N/A
GOAT: A Global Transformer on Large-scale Graphs	Unknown	PDF	N/A
Local Vertex Colouring Graph Neural Networks	Unknown	PDF	N/A
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer	Unknown	PDF	N/A
PAC-Bayesian Offline Contextual Bandits With Guarantees	Unknown	PDF	N/A
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation	Unknown	PDF	N/A
Multi-class Graph Clustering via Approximated Effective $p$-Resistance	Unknown	PDF	N/A
A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback	Unknown	PDF	N/A
Accelerated Stochastic Optimization Methods under Quasar-convexity	Unknown	PDF	N/A
Personalized Subgraph Federated Learning	Unknown	PDF	N/A
A Kernel Stein Test of Goodness of Fit for Sequential Models	Unknown	PDF	N/A
MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks	Unknown	PDF	N/A
VIMA: Robot Manipulation with Multimodal Prompts	Unknown	PDF	N/A
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks	Unknown	PDF	N/A
On User-Level Private Convex Optimization	Unknown	PDF	N/A
Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis	Unknown	PDF	N/A
Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling	Unknown	PDF	N/A
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.	Unknown	PDF	N/A
A Neural PDE Solver with Temporal Stencil Modeling	Unknown	PDF	N/A
Understanding Oversquashing in GNNs through the Lens of Effective Resistance	Unknown	PDF	N/A
The Numerical Stability of Hyperbolic Representation Learning	Unknown	PDF	N/A
Interval Bound Interpolation for Few-shot Learning with Few Tasks	Unknown	PDF	N/A
A Model-free Closeness-of-influence Test for Features in Supervised Learning	Unknown	PDF	N/A
Generalized Disparate Impact for Configurable Fairness Solutions in ML	Unknown	PDF	N/A
Truncating Trajectories in Monte Carlo Reinforcement Learning	Unknown	PDF	N/A
Trapdoor Normalization with Irreversible Ownership Verification	Unknown	PDF	N/A
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal	Unknown	PDF	N/A
HyperTuning: Toward Adapting Large Language Models without Back-propagation	Unknown	PDF	N/A
Underspecification Presents Challenges for Credibility in Modern Machine Learning	Unknown	PDF	N/A
Doubly Optimal No-Regret Learning in Monotone Games	Unknown	PDF	N/A
Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation	Unknown	PDF	N/A
Active Learning based Structural Inference	Unknown	PDF	N/A
Curious Replay for Model-based Adaptation	Unknown	PDF	N/A
From Temporal to Contemporaneous Iterative Causal Discovery in the Presence of Latent Confounders	Unknown	PDF	N/A
The Power of Uniform Sampling for k-Median	Unknown	PDF	N/A
Towards Understanding and Reducing Graph Structural Noise for GNNs	Unknown	PDF	N/A
BEATs: Audio Pre-Training with Acoustic Tokenizers	Unknown	PDF	N/A
Optimistic Planning by Regularized Dynamic Programming	Unknown	PDF	N/A
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks	Unknown	PDF	N/A
A Closer Look at Self-Supervised Lightweight Vision Transformers	Unknown	PDF	N/A
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection	Unknown	PDF	N/A
Defects of Convolutional Decoder Networks in Frequency Representation	Unknown	PDF	N/A
An Instrumental Variable Approach to Confounded Off-Policy Evaluation	Unknown	PDF	N/A
Multi-agent Online Scheduling: MMS Allocations for Indivisible Items	Unknown	PDF	N/A
Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders	Unknown	PDF	N/A
Learning Belief Representations for Partially Observable Deep RL	Unknown	PDF	N/A
Discrete Continuous Optimization Framework for Simultaneous Clustering and Training in Mixture Models	Unknown	PDF	N/A
Entropy-driven Unsupervised Keypoint Representation Learning in Videos	Unknown	PDF	N/A
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling	Unknown	PDF	N/A
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents	Unknown	PDF	N/A
A Reinforcement Learning Framework for Dynamic Mediation Analysis	Unknown	PDF	N/A
Subset-Based Instance Optimality in Private Estimation	Unknown	PDF	N/A
Returning The Favour: When Regression Benefits From Probabilistic Causal Knowledge	Unknown	PDF	N/A
Automatic Data Augmentation via Invariance-Constrained Learning	Unknown	PDF	N/A
Exponential Smoothing for Off-Policy Learning	Unknown	PDF	N/A
Not all Strongly Rayleigh Distributions Have Small Probabilistic Generating Circuits	Unknown	PDF	N/A
Adversarial Policies Beat Superhuman Go AIs	Unknown	PDF	N/A
On the Impact of Knowledge Distillation for Model Interpretability	Unknown	PDF	N/A
Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics	Unknown	PDF	N/A
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters	Unknown	PDF	N/A
Revisiting Simple Regret: Fast Rates for Returning a Good Arm	Unknown	PDF	N/A
simple diffusion: End-to-end diffusion for high resolution images	Unknown	PDF	N/A
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation	Unknown	PDF	N/A
A Fully First-Order Method for Stochastic Bilevel Optimization	Unknown	PDF	N/A
Stochastic Gradient Succeeds for Bandits	Unknown	PDF	N/A
Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice	Unknown	PDF	N/A
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks	Unknown	PDF	N/A
Parallel Online Clustering of Bandits via Hedonic Game	Unknown	PDF	N/A
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels	Unknown	PDF	N/A
Model-Free Robust Average-Reward Reinforcement Learning	Unknown	PDF	N/A
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat	Unknown	PDF	N/A
Special Properties of Gradient Descent with Large Learning Rates	Unknown	PDF	N/A
Inverse Reinforcement Learning without Reinforcement Learning	Unknown	PDF	N/A
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling	Unknown	PDF	N/A
Regularizing Towards Soft Equivariance Under Mixed Symmetries	Unknown	PDF	N/A
Probabilistic Imputation for Time-series Classification with Missing Data	Unknown	PDF	N/A
The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms	Unknown	PDF	N/A
Multi-User Reinforcement Learning with Low Rank Rewards	Unknown	PDF	N/A
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering	Unknown	PDF	N/A
Short-lived High-volume Bandits	Unknown	PDF	N/A
Bidirectional Learning for Offline Model-based Biological Sequence Design	Unknown	PDF	N/A
DevFormer: A Symmetric Transformer for Context-Aware Device Placement	Unknown	PDF	N/A
Generalization on the Unseen, Logic Reasoning and Degree Curriculum	Unknown	PDF	N/A
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time	Unknown	PDF	N/A
Learning Perturbations to Explain Time Series Predictions	Unknown	PDF	N/A
Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits	Unknown	PDF	N/A
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks	Unknown	PDF	N/A
Robust Satisficing MDPs	Unknown	PDF	N/A
Robust One-Class Classification with Signed Distance Function using 1-Lipschitz Neural Networks	Unknown	PDF	N/A
Weakly Supervised Disentangled Generative Causal Representation Learning	Unknown	PDF	N/A
Buying Information for Stochastic Optimization	Unknown	PDF	N/A
Neural FIM for learning Fisher information metrics from point cloud data	Unknown	PDF	N/A
Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit	Unknown	PDF	N/A
Learning Dense Correspondences between Photos and Sketches	Unknown	PDF	N/A
Synthetic data for model selection	Unknown	PDF	N/A
Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models	Unknown	PDF	N/A
Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement	Unknown	PDF	N/A
Feature Expansion for Graph Neural Networks	Unknown	PDF	N/A
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching	Unknown	PDF	N/A
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding	Unknown	PDF	N/A
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds	Unknown	PDF	N/A
Scaling of Class-wise Training Losses for Post-hoc Calibration	Unknown	PDF	N/A
Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows	Unknown	PDF	N/A
TIPS: Topologically Important Path Sampling for Anytime Neural Networks	Unknown	PDF	N/A
On the Effectiveness of Offline RL for Dialogue Response Generation	Unknown	PDF	N/A
Learning Antidote Data to Individual Unfairness	Unknown	PDF	N/A
On the Stepwise Nature of Self-Supervised Learning	Unknown	PDF	N/A
Identification of the Adversary from a Single Adversarial Example	Unknown	PDF	N/A
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning	Unknown	PDF	N/A
Effectively Using Public Data in Privacy Preserving Machine Learning	Unknown	PDF	N/A
Multiplier Bootstrap-based Exploration	Unknown	PDF	N/A
Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space	Unknown	PDF	N/A
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models	Unknown	PDF	N/A
Uncovering Adversarial Risks of Test-Time Adaptation	Unknown	PDF	N/A
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations	Unknown	PDF	N/A
On Coresets for Clustering in Small Dimensional Euclidean spaces	Unknown	PDF	N/A
CLUTR: Curriculum Learning via Unsupervised Task Representation Learning	Unknown	PDF	N/A
Feature learning in deep classifiers through Intermediate Neural Collapse	Unknown	PDF	N/A
Internet Explorer: Targeted Representation Learning on the Open Web	Unknown	PDF	N/A
MetricGAN-OKD: Multi-Metric Optimization of MetricGAN via Online Knowledge Distillation for Speech Enhancement	Unknown	PDF	N/A
A Category-theoretical Meta-analysis of Definitions of Disentanglement	Unknown	PDF	N/A
Random Classification Noise does not defeat All Convex Potential Boosters Irrespective of Model Choice	Unknown	PDF	N/A
Understanding the Role of Feedback in Online Learning with Switching Costs	Unknown	PDF	N/A
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards	Unknown	PDF	N/A
DIVISION: Memory Efficient Training via Dual Activation Precision	Unknown	PDF	N/A
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression	Unknown	PDF	N/A
Hiding Data Helps: On the Benefits of Masking for Sparse Coding	Unknown	PDF	N/A
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models	Unknown	PDF	N/A
Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup	Unknown	PDF	N/A
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples	Unknown	PDF	N/A
The Price of Differential Privacy under Continual Observation	Unknown	PDF	N/A
Delayed Feedback in Kernel Bandits	Unknown	PDF	N/A
Continuous Spatiotemporal Transformer	Unknown	PDF	N/A
LSDS++ : Dual Sampling for Accelerated k-means++	Unknown	PDF	N/A
InfoOT: Information Maximizing Optimal Transport	Unknown	PDF	N/A
Neural signature kernels as infinite-width-depth-limits of controlled ResNets	Unknown	PDF	N/A
Regression with Label Permutation in Generalized Linear Model	Unknown	PDF	N/A
Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
On the Within-Group Fairness of Screening Classifiers	Unknown	PDF	N/A
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation	Unknown	PDF	N/A
Achieving High Accuracy with PINNs via Energy Natural Gradient Descent	Unknown	PDF	N/A
TRAK: Attributing Model Behavior at Scale	Unknown	PDF	N/A
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model	Unknown	PDF	N/A
Two-Scale Gradient Descent Ascent Dynamics Finds Mixed Nash Equilibria of Continuous Games: A Mean-Field Perspective	Unknown	PDF	N/A
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP	Unknown	PDF	N/A
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments	Unknown	PDF	N/A
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models	Unknown	PDF	N/A
DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule	Unknown	PDF	N/A
Rethinking Backdoor Attacks	Unknown	PDF	N/A
Linear CNNs Discover the Statistical Structure of the Dataset Using Only the Most Dominant Frequencies	Unknown	PDF	N/A
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs	Unknown	PDF	N/A
$\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation	Unknown	PDF	N/A
Compositional Score Modeling for Simulation-Based Inference	Unknown	PDF	N/A
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression	Unknown	PDF	N/A
A Watermark for Large Language Models	Unknown	PDF	N/A
Online Prototype Alignment for Few-shot Policy Transfer	Unknown	PDF	N/A
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks	Unknown	PDF	N/A
Flexible Model Aggregation for Quantile Regression	Unknown	PDF	N/A
Looped Transformers as Programmable Computers	Unknown	PDF	N/A
Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations	Unknown	PDF	N/A
Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process	Unknown	PDF	N/A
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening	Unknown	PDF	N/A
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere	Unknown	PDF	N/A
Double-Weighting for Covariate Shift Adaptation	Unknown	PDF	N/A
NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning	Unknown	PDF	N/A
How Bad is Top-$K$ Recommendation under Competing Content Creators?	Unknown	PDF	N/A
Continuation Path Learning for Homotopy Optimization	Unknown	PDF	N/A
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption	Unknown	PDF	N/A
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels	Unknown	PDF	N/A
A Critical View of Vision-Based Long-Term Dynamics Prediction Under Environment Misalignment	Unknown	PDF	N/A
Aligning Language Models with Preferences through $f$-divergence Minimization	Unknown	PDF	N/A
SpotEM: Efficient Video Search for Episodic Memory	Unknown	PDF	N/A
Disentangled Multi-Fidelity Deep Bayesian Active Learning	Unknown	PDF	N/A
Reinforcement Learning with History Dependent Dynamic Contexts	Unknown	PDF	N/A
ModelDiff: A Framework for Comparing Learning Algorithms	Unknown	PDF	N/A
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL	Unknown	PDF	N/A
Randomized Schur Complement Views for Graph Contrastive Learning	Unknown	PDF	N/A
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners	Unknown	PDF	N/A
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems	Unknown	PDF	N/A
On the Convergence Rate of Gaussianization with Random Rotations	Unknown	PDF	N/A
SOM-CPC: Unsupervised Contrastive Learning with Self-Organizing Maps for Structured Representations of High-Rate Time Series	Unknown	PDF	N/A
CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets	Unknown	PDF	N/A
Revisiting Sampling for Combinatorial Optimization	Unknown	PDF	N/A
Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes	Unknown	PDF	N/A
Consistency of Multiple Kernel Clustering	Unknown	PDF	N/A
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path	Unknown	PDF	N/A
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits	Unknown	PDF	N/A
Non-asymptotic Properties of Individualized Treatment Rules from Sequentially Rule-Adaptive Trials	Unknown	PDF	N/A
Long Horizon Temperature Scaling	Unknown	PDF	N/A
Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints	Unknown	PDF	N/A
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy	Unknown	PDF	N/A
Understanding Self-Predictive Learning for Reinforcement Learning	Unknown	PDF	N/A
Online Learning in Stackelberg Games with an Omniscient Follower	Unknown	PDF	N/A
Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set	Unknown	PDF	N/A
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors	Unknown	PDF	N/A
Fast Inference from Transformers via Speculative Decoding	Unknown	PDF	N/A
Semi-Offline Reinforcement Learning for Optimized Text Generation	Unknown	PDF	N/A
DRCFS: Doubly Robust Causal Feature Selection	Unknown	PDF	N/A
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling	Unknown	PDF	N/A
On the Role of Attention in Prompt-tuning	Unknown	PDF	N/A
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes	Unknown	PDF	N/A
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning	Unknown	PDF	N/A
Multi-Task Off-Policy Learning from Bandit Feedback	Unknown	PDF	N/A
A Statistical Perspective on Retrieval-Based Models	Unknown	PDF	N/A
Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints	Unknown	PDF	N/A
Transformer-based Stagewise Decomposition for Large-Scale Multistage Stochastic Optimization	Unknown	PDF	N/A
LegendreTron: Uprising Proper Multiclass Loss Learning	Unknown	PDF	N/A
Modality-Agnostic Variational Compression of Implicit Neural Representations	Unknown	PDF	N/A
The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data	Unknown	PDF	N/A
Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective	Unknown	PDF	N/A
SparseGPT: Massive Language Models Can be Accurately Pruned in One-Shot	Unknown	PDF	N/A
Off-Policy Average Reward Actor-Critic with Deterministic Policy Search	Unknown	PDF	N/A
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling	Unknown	PDF	N/A
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics	Unknown	PDF	N/A
Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback	Unknown	PDF	N/A
Near-Optimal $\Phi$-Regret Learning in Extensive-Form Games	Unknown	PDF	N/A
Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization	Unknown	PDF	N/A
Dink-Net: Neural Clustering on Large Graphs	Unknown	PDF	N/A
What Can Be Learnt With Wide Convolutional Neural Networks?	Unknown	PDF	N/A
Invariance in Policy Optimisation and Partial Identifiability in Reward Learning	Unknown	PDF	N/A
SRATTA: Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning.	Unknown	PDF	N/A
Theory on Forgetting and Generalization of Continual Learning	Unknown	PDF	N/A
Internally Rewarded Reinforcement Learning	Unknown	PDF	N/A
Generalization Bounds using Data-Dependent Fractal Dimensions	Unknown	PDF	N/A
Flash: Concept Drift Adaptation in Federated Learning	Unknown	PDF	N/A
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning	Unknown	PDF	N/A
Tight and fast generalization error bound of graph embedding in metric space	Unknown	PDF	N/A
Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems	Unknown	PDF	N/A
Modeling Dynamic Environments with Scene Graph Memory	Unknown	PDF	N/A
A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP	Unknown	PDF	N/A
High Fidelity Image Counterfactuals with Probabilistic Causal Models	Unknown	PDF	N/A
On the Functional Similarity of Robust and Non-Robust Neural Representations	Unknown	PDF	N/A
Provably Learning Object-Centric Representations	Unknown	PDF	N/A
Open-Vocabulary Universal Image Segmentation with MaskCLIP	Unknown	PDF	N/A
Active Policy Improvement from Multiple Black-box Oracles	Unknown	PDF	N/A
CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling	Unknown	PDF	N/A
Compositional Exemplars for In-context Learning	Unknown	PDF	N/A
In Search for a Generalizable Method for Source Free Domain Adaptation	Unknown	PDF	N/A
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks	Unknown	PDF	N/A
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift	Unknown	PDF	N/A
User-level Private Stochastic Convex Optimization with Optimal Rates	Unknown	PDF	N/A
NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes	Unknown	PDF	N/A
Prototype-oriented unsupervised anomaly detection for multivariate time series	Unknown	PDF	N/A
Best of Both Worlds Policy Optimization	Unknown	PDF	N/A
Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process	Unknown	PDF	N/A
ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation	Unknown	PDF	N/A
High Probability Convergence of Stochastic Gradient Methods	Unknown	PDF	N/A
abess: A Fast Best-Subset Selection Library in Python and R	Unknown	PDF	N/A
Covariate balancing using the integral probability metric for causal inference	Unknown	PDF	N/A
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation	Unknown	PDF	N/A
Taxonomy-Structured Domain Adaptation	Unknown	PDF	N/A
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition	Unknown	PDF	N/A
Robust Weak Supervision with Variational Auto-Encoders	Unknown	PDF	N/A
Delay-agnostic Asynchronous Coordinate Update Algorithm	Unknown	PDF	N/A
Task-specific experimental design for treatment effect estimation	Unknown	PDF	N/A
Boosting Graph Contrastive Learning via Graph Contrastive Saliency	Unknown	PDF	N/A
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization	Unknown	PDF	N/A
Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron	Unknown	PDF	N/A
Quantized Distributed Training of Large Models with Convergence Guarantees	Unknown	PDF	N/A
Cramming: Training a Language Model on a single GPU in one day.	Unknown	PDF	N/A
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?	Unknown	PDF	N/A
Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks	Unknown	PDF	N/A
Learning Functional Distributions with Private Labels	Unknown	PDF	N/A
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective	Unknown	PDF	N/A
Are Equivariant Equilibrium Approximators Beneficial?	Unknown	PDF	N/A
Knowledge Hypergraph Embedding Meets Relational Algebra	Unknown	PDF	N/A
When do Minimax-fair Learning and Empirical Risk Minimization Coincide?	Unknown	PDF	N/A
Random Grid Neural Processes for Parametric Partial Differential Equations	Unknown	PDF	N/A
SNeRL: Semantic-aware Neural Radiance Fields for Reinforcement Learning	Unknown	PDF	N/A
Weighted Sampling without Replacement for Deep Top-$k$ Classification	Unknown	PDF	N/A
Efficient Learning of Mesh-Based Physical Simulation with Bi-Stride Multi-Scale Graph Neural Network	Unknown	PDF	N/A
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training	Unknown	PDF	N/A
Fundamental Tradeoffs in Learning with Prior Information	Unknown	PDF	N/A
Model-agnostic Measure of Generalization Difficulty	Unknown	PDF	N/A
Scalable Safe Policy Improvement via Monte Carlo Tree Search	Unknown	PDF	N/A
Quantum Policy Gradient Algorithm with Optimized Action Decoding	Unknown	PDF	N/A
Boosting Offline Reinforcement Learning with Action Preference Query	Unknown	PDF	N/A
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations	Unknown	PDF	N/A
Projected Tensor Power Method for Hypergraph Community Recovery	Unknown	PDF	N/A
Retrieval-Augmented Multimodal Language Modeling	Unknown	PDF	N/A
Neural Network Accelerated Implicit Filtering: Integrating Neural Network Surrogates With Provably Convergent Derivative Free Optimization Methods	Unknown	PDF	N/A
BiBench: Benchmarking and Analyzing Network Binarization	Unknown	PDF	N/A
On Data Manifolds Entailed by Structural Causal Models	Unknown	PDF	N/A
The Acquisition of Physical Knowledge in Generative Neural Networks	Unknown	PDF	N/A
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings	Unknown	PDF	N/A
Federated Heavy Hitter Recovery under Linear Sketching	Unknown	PDF	N/A
Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models	Unknown	PDF	N/A
Equivariance with Learned Canonicalization Functions	Unknown	PDF	N/A
FedDisco: Federated Learning with Discrepancy-Aware Collaboration	Unknown	PDF	N/A
Gradient-based Wang--Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space	Unknown	PDF	N/A
Federated Adversarial Learning: A Framework with Convergence Analysis	Unknown	PDF	N/A
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning	Unknown	PDF	N/A
Towards Learning to Imitate from a Single Video Demonstration	Unknown	PDF	N/A
Speeding Up Bellman Ford via Minimum Violation Permutations	Unknown	PDF	N/A
Fully Dynamic Submodular Maximization over Matroids	Unknown	PDF	N/A
On the Forward Invariance of Neural ODEs	Unknown	PDF	N/A
Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection	Unknown	PDF	N/A
Graph Neural Networks with Learnable and Optimal Polynomial Bases	Unknown	PDF	N/A
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference	Unknown	PDF	N/A
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation	Unknown	PDF	N/A
Multi-View Masked World Models for Visual Robotic Manipulation	Unknown	PDF	N/A
Multisample Flow Matching: Straightening Flows with Minibatch Couplings	Unknown	PDF	N/A
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games	Unknown	PDF	N/A
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks	Unknown	PDF	N/A
Towards Controlled Data Augmentations for Active Learning	Unknown	PDF	N/A
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift	Unknown	PDF	N/A
Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces	Unknown	PDF	N/A
Differentially Private Stochastic Convex Optimization under a Quantile Loss Function	Unknown	PDF	N/A
SDDM: Score-Decomposed Diffusion Models on Manifolds for Unpaired Image-to-Image Translation	Unknown	PDF	N/A
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation	Unknown	PDF	N/A
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points	Unknown	PDF	N/A
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation	Unknown	PDF	N/A
Retrosynthetic Planning with Dual Value Networks	Unknown	PDF	N/A
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification	Unknown	PDF	N/A
Cones: Concept Neurons in Diffusion Models for Customized Generation	Unknown	PDF	N/A
Finding Generalization Measures by Contrasting Signal and Noise	Unknown	PDF	N/A
On Uni-Modal Feature Learning in Supervised Multi-Modal Learning	Unknown	PDF	N/A
Personalized Federated Learning under Mixture of Distributions	Unknown	PDF	N/A
Evaluating Unsupervised Denoising Requires Unsupervised Metrics	Unknown	PDF	N/A
On the Robustness of Randomized Ensembles to Adversarial Perturbations	Unknown	PDF	N/A
A Closer Look at the Intervention Procedure of Concept Bottleneck Models	Unknown	PDF	N/A
Offline Learning in Markov Games with General Function Approximation	Unknown	PDF	N/A
Decoding Layer Saliency in Language Transformers	Unknown	PDF	N/A
Nested Elimination: A Simple Algorithm for Best-Item Identification From Choice-Based Feedback	Unknown	PDF	N/A
Provable Dynamic Fusion for Low-Quality Multimodal Data	Unknown	PDF	N/A
Block Subsampled Randomized Hadamard Transform for Nyström Approximation on Distributed Architectures	Unknown	PDF	N/A
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill	Unknown	PDF	N/A
Conditional Graph Information Bottleneck for Molecular Relational Learning	Unknown	PDF	N/A
Domain Adaptation for Time Series Under Feature and Label Shifts	Unknown	PDF	N/A
Strategic Classification with Unknown User Manipulations	Unknown	PDF	N/A
Simplified Temporal Consistency Reinforcement Learning	Unknown	PDF	N/A
Image Restoration with Mean-Reverting Stochastic Differential Equations	Unknown	PDF	N/A
Transcendental Idealism of Planner: Evaluating Perception from Planning Perspective for Autonomous Driving	Unknown	PDF	N/A
Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies	Unknown	PDF	N/A
Implicit Jacobian regularization weighted with impurity of probability output	Unknown	PDF	N/A
Adversarial Cheap Talk	Unknown	PDF	N/A
Slot-VAE: Object-Centric Scene Generation with Slot Attention	Unknown	PDF	N/A
Pre-training for Speech Translation: CTC Meets Optimal Transport	Unknown	PDF	N/A
H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features	Unknown	PDF	N/A
Fast $(1+\varepsilon)$-Approximation Algorithms for Binary Matrix Factorization	Unknown	PDF	N/A
Robust and private stochastic linear bandits	Unknown	PDF	N/A
Algorithms for bounding contribution for histogram estimation under user-level privacy	Unknown	PDF	N/A
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers	Unknown	PDF	N/A
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models	Unknown	PDF	N/A
IRNeXt: Rethinking Convolutional Network Design for Image Restoration	Unknown	PDF	N/A
TabLeak: Tabular Data Leakage in Federated Learning	Unknown	PDF	N/A
Efficient Algorithms for Exact Graph Matching on Correlated Stochastic Block Models with Constant Correlation	Unknown	PDF	N/A
Bootstrap in High Dimension with Low Computation	Unknown	PDF	N/A
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting	Unknown	PDF	N/A
Simple Disentanglement of Style and Content in Visual Representations	Unknown	PDF	N/A
Reparameterized Policy Learning for Multimodal Trajectory Optimization	Unknown	PDF	N/A
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills	Unknown	PDF	N/A
Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data	Unknown	PDF	N/A
Deep Graph Representation Learning and Optimization for Influence Maximization	Unknown	PDF	N/A
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression	Unknown	PDF	N/A
Global optimality of Elman-type RNNs in the mean-field regime	Unknown	PDF	N/A
Proper Losses for Discrete Generative Models	Unknown	PDF	N/A
Adversarial Collaborative Learning on Non-IID Features	Unknown	PDF	N/A
Multi-Agent Learning from Learners	Unknown	PDF	N/A
On Sampling with Approximate Transport Maps	Unknown	PDF	N/A
State and parameter learning with PARIS particle Gibbs	Unknown	PDF	N/A
Inferring Relational Potentials in Interacting Systems	Unknown	PDF	N/A
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning	Unknown	PDF	N/A
The Computational Complexity of Concise Hypersphere Classification	Unknown	PDF	N/A
The Test of Tests: A Framework for Differentially Private Hypothesis Testing	Unknown	PDF	N/A
CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design	Unknown	PDF	N/A
A Generalization of ViT/MLP-Mixer to Graphs	Unknown	PDF	N/A
A Study on Transformer Configuration and Training Objective	Unknown	PDF	N/A
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers	Unknown	PDF	N/A
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search	Unknown	PDF	N/A
Hyperparameters in Reinforcement Learning and How To Tune Them	Unknown	PDF	N/A
Learning Hidden Markov Models When the Locations of Missing Observations are Unknown	Unknown	PDF	N/A
Optimizing NOTEARS Objectives via Topological Swaps	Unknown	PDF	N/A
Infinite Action Contextual Bandits with Reusable Data Exhaust	Unknown	PDF	N/A
Efficient Quantum Algorithms for Quantum Optimal Control	Unknown	PDF	N/A
SLAMB: Accelerated Large Batch Training with Sparse Communication	Unknown	PDF	N/A
Random Shuffle Transformer for Image Restoration	Unknown	PDF	N/A
Conditional Tree Matching for Inference-Time Adaptation of Tree Prediction Models	Unknown	PDF	N/A
Robust Situational Reinforcement Learning in Face of Context Disturbances	Unknown	PDF	N/A
Can Neural Network Memorization Be Localized?	Unknown	PDF	N/A
Exphormer: Sparse Transformers for Graphs	Unknown	PDF	N/A
The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning	Unknown	PDF	N/A
Model-based Offline Reinforcement Learning with Count-based Conservatism	Unknown	PDF	N/A
Topologically Faithful Image Segmentation via Induced Matching of Persistence Barcodes	Unknown	PDF	N/A
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels	Unknown	PDF	N/A
Fair Neighbor Embedding	Unknown	PDF	N/A
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding	Unknown	PDF	N/A
Effective and Efficient Structural Inference with Reservoir Computing	Unknown	PDF	N/A
Ewald-based Long-Range Message Passing for Molecular Graphs	Unknown	PDF	N/A
General Sequential Episodic Memory Model	Unknown	PDF	N/A
End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization	Unknown	PDF	N/A
Constrained Monotonic Neural Networks	Unknown	PDF	N/A
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge	Unknown	PDF	N/A
Random Teachers are Good Teachers	Unknown	PDF	N/A
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation	Unknown	PDF	N/A
Improving Graph Neural Networks with Learnable Propagation Operators	Unknown	PDF	N/A
Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs	Unknown	PDF	N/A
Nonparametric Density Estimation under Distribution Drift	Unknown	PDF	N/A
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems	Unknown	PDF	N/A
Exploring the Benefits of Training Expert Language Models over Instruction Tuning	Unknown	PDF	N/A
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single	Unknown	PDF	N/A
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding	Unknown	PDF	N/A
Scaling Spherical CNNs	Unknown	PDF	N/A
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation	Unknown	PDF	N/A
Iterative Approximate Cross-Validation	Unknown	PDF	N/A
Conformal Prediction Sets for Graph Neural Networks	Unknown	PDF	N/A
Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!	Unknown	PDF	N/A
TabDDPM: Modelling Tabular Data with Diffusion Models	Unknown	PDF	N/A
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships	Unknown	PDF	N/A
Distributed Contextual Linear Bandits with Minimax Optimal Communication Cost	Unknown	PDF	N/A
Approximate Causal Effect Identification under Weak Confounding	Unknown	PDF	N/A
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction	Unknown	PDF	N/A
Probabilistic Categorical Adversarial Attack and Adversarial Training	Unknown	PDF	N/A
Alternately Optimized Graph Neural Networks	Unknown	PDF	N/A
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning	Unknown	PDF	N/A
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks	Unknown	PDF	N/A
Robust Speech Recognition via Large-Scale Weak Supervision	Unknown	PDF	N/A
A/B Testing in Network Data with Covariate-Adaptive Randomization	Unknown	PDF	N/A
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D	Unknown	PDF	N/A
MEWL: Few-shot multimodal word learning with referential uncertainty	Unknown	PDF	N/A
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning	Unknown	PDF	N/A
Forget Unlearning: Towards True Data-Deletion in Machine Learning	Unknown	PDF	N/A
Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains	Unknown	PDF	N/A
Gradient Descent Converges Linearly for Logistic Regression on Separable Data	Unknown	PDF	N/A
Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts	Unknown	PDF	N/A
Learning-augmented private algorithms for multiple quantile release	Unknown	PDF	N/A
Learning Deep Time-index Models for Time Series Forecasting	Unknown	PDF	N/A
Spatial Implicit Neural Representations for Global-Scale Species Mapping	Unknown	PDF	N/A
On Preemption and Learning in Stochastic Scheduling	Unknown	PDF	N/A
Controlled Differential Equations on Long Sequences via Non-standard Wavelets	Unknown	PDF	N/A
LookupFFN: Making Transformers Compute-lite for CPU inference	Unknown	PDF	N/A
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization	Unknown	PDF	N/A
Compressing Tabular Data via Latent Variable Estimation	Unknown	PDF	N/A
A Connection between One-Step RL and Critic Regularization in Reinforcement Learning	Unknown	PDF	N/A
Denoising MCMC for Accelerating Diffusion-Based Generative Models	Unknown	PDF	N/A
Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains	Unknown	PDF	N/A
Few-Sample Feature Selection via Feature Manifold Learning	Unknown	PDF	N/A
Representation-Driven Reinforcement Learning	Unknown	PDF	N/A
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control	Unknown	PDF	N/A
Taming graph kernels with random features	Unknown	PDF	N/A
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants	Unknown	PDF	N/A
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation	Unknown	PDF	N/A
Neural Stochastic Differential Games for Time-series Analysis	Unknown	PDF	N/A
Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation	Unknown	PDF	N/A
Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation	Unknown	PDF	N/A
Delayed Bandits: When Do Intermediate Observations Help?	Unknown	PDF	N/A
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology	Unknown	PDF	N/A
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs	Unknown	PDF	N/A
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL	Unknown	PDF	N/A
PreNAS: Preferred One-Shot Learning Towards Efficient Neural Architecture Search	Unknown	PDF	N/A
Adversarially Robust PAC Learnability of Real-Valued Functions	Unknown	PDF	N/A
Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees	Unknown	PDF	N/A
Mixing Predictions for Online Metric Algorithms	Unknown	PDF	N/A
Reinforcement Learning in Low-rank MDPs with Density Features	Unknown	PDF	N/A
The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing	Unknown	PDF	N/A
Sequential Monte Carlo Learning for Time Series Structure Discovery	Unknown	PDF	N/A
Multicalibration as Boosting for Regression	Unknown	PDF	N/A
Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality	Unknown	PDF	N/A
Cut your Losses with Squentropy	Unknown	PDF	N/A
Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach	Unknown	PDF	N/A
K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs	Unknown	PDF	N/A
Towards Understanding Generalization of Macro-AUC in Multi-label Learning	Unknown	PDF	N/A
Controllable Neural Symbolic Regression	Unknown	PDF	N/A
Stable Estimation of Heterogeneous Treatment Effects	Unknown	PDF	N/A
Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond	Unknown	PDF	N/A
Constraint Reasoning Embedded Structured Prediction	Unknown	PDF	N/A
Optimal Convergence Rates for Agnostic Nyström Kernel Learning	Unknown	PDF	N/A
Active Ranking of Experts Based on their Performances in Many Tasks	Unknown	PDF	N/A
Efficient Parametric Approximations of Neural Network Function Space Distance	Unknown	PDF	N/A
Improving Expert Predictions with Conformal Prediction	Unknown	PDF	N/A
Sketched Ridgeless Linear Regression: The Role of Downsampling	Unknown	PDF	N/A
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video	Unknown	PDF	N/A
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search	Unknown	PDF	N/A
Probabilistic Unrolling: Scalable, Inverse-Free Maximum Likelihood Estimation for Latent Gaussian Models	Unknown	PDF	N/A
Fisher Information Embedding for Node and Graph Learning	Unknown	PDF	N/A
Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization	Unknown	PDF	N/A
Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming	Unknown	PDF	N/A
Naive imputation implicitly regularizes high-dimensional linear models	Unknown	PDF	N/A
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function	Unknown	PDF	N/A
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data	Unknown	PDF	N/A
Dual Focal Loss for Calibration	Unknown	PDF	N/A
Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates	Unknown	PDF	N/A
Distribution Free Domain Generalization	Unknown	PDF	N/A
Why Target Networks Stabilise Temporal Difference Methods	Unknown	PDF	N/A
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation	Unknown	PDF	N/A
Machine Learning Force Fields with Data Cost Aware Training	Unknown	PDF	N/A
Principled Offline RL in the Presence of Rich Exogenous Information	Unknown	PDF	N/A
Bayesian online change point detection with Hilbert space approximate Student-t process	Unknown	PDF	N/A
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming	Unknown	PDF	N/A
Why do Nearest Neighbor Language Models Work?	Unknown	PDF	N/A
QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark	Unknown	PDF	N/A
Bilevel Optimization with Coupled Decision-Dependent Distributions	Unknown	PDF	N/A
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments	Unknown	PDF	N/A
Variational Mixture of HyperGenerators for Learning Distributions over Functions	Unknown	PDF	N/A
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests	Unknown	PDF	N/A
Statistical Indistinguishability of Learning Algorithms	Unknown	PDF	N/A
Graph Mixup with Soft Alignments	Unknown	PDF	N/A
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources	Unknown	PDF	N/A
Parallel Neurosymbolic Integration with Concordia	Unknown	PDF	N/A
Posterior Sampling for Deep Reinforcement Learning	Unknown	PDF	N/A
Reinforcement Learning Can Be More Efficient with Multiple Rewards	Unknown	PDF	N/A
2D-Shapley: A Framework for Fragmented Data Valuation	Unknown	PDF	N/A
One-Shot Federated Conformal Prediction	Unknown	PDF	N/A
E$(n)$ Equivariant Message Passing Simplicial Networks	Unknown	PDF	N/A
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits	Unknown	PDF	N/A
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models	Unknown	PDF	N/A
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework	Unknown	PDF	N/A
From Adaptive Query Release to Machine Unlearning	Unknown	PDF	N/A
Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing	Unknown	PDF	N/A
Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs	Unknown	PDF	N/A
Surrogate Module Learning: Reduce the Gradient Error Accumulation in Training Spiking Neural Networks	Unknown	PDF	N/A
Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization	Unknown	PDF	N/A
Automatically Auditing Large Language Models via Discrete Optimization	Unknown	PDF	N/A
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification	Unknown	PDF	N/A
Learning to Initiate and Reason in Event-Driven Cascading Processes	Unknown	PDF	N/A
Robust and Scalable Bayesian Online Changepoint Detection	Unknown	PDF	N/A
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation	Unknown	PDF	N/A
Graph Positional Encoding via Random Feature Propagation	Unknown	PDF	N/A
Estimating Possible Causal Effects with Latent Variables via Adjustment	Unknown	PDF	N/A
Benign Overfitting in Deep Neural Networks under Lazy Training	Unknown	PDF	N/A
A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints	Unknown	PDF	N/A
Explainability as statistical inference	Unknown	PDF	N/A
Learning Prescriptive ReLU Networks	Unknown	PDF	N/A
Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation	Unknown	PDF	N/A
On the Robustness of Text Vectorizers	Unknown	PDF	N/A
Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network	Unknown	PDF	N/A
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction	Unknown	PDF	N/A
Robustness in Multimodal Learning under Train-Test Modality Mismatch	Unknown	PDF	N/A
Achieving Linear Speedup in Non-IID Federated Bilevel Learning	Unknown	PDF	N/A
Estimation Beyond Data Reweighting: Kernel Method of Moments	Unknown	PDF	N/A
General Covariance Data Augmentation for Neural PDE Solvers	Unknown	PDF	N/A
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles	Unknown	PDF	N/A
PASTA: Pessimistic Assortment Optimization	Unknown	PDF	N/A
Hypothesis Transfer Learning with Surrogate Classification Losses: Generalization Bounds through Algorithmic Stability	Unknown	PDF	N/A
Thompson Sampling with Less Exploration is Fast and Optimal	Unknown	PDF	N/A
FARE: Provably Fair Representation Learning with Practical Certificates	Unknown	PDF	N/A
Stabilizing Transformer Training by Preventing Attention Entropy Collapse	Unknown	PDF	N/A
Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference	Unknown	PDF	N/A
Tuning Computer Vision Models With Task Rewards	Unknown	PDF	N/A
Quantifying the Variability Collapse of Neural Networks	Unknown	PDF	N/A
Polarity Is All You Need to Learn and Transfer Faster	Unknown	PDF	N/A
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates	Unknown	PDF	N/A
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization	Unknown	PDF	N/A
Learning to Design Analog Circuits to Meet Threshold Specifications	Unknown	PDF	N/A
Constrained Causal Bayesian Optimization	Unknown	PDF	N/A
Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning	Unknown	PDF	N/A
A Modern Look at the Relationship between Sharpness and Generalization	Unknown	PDF	N/A
Learning Unnormalized Statistical Models via Compositional Optimization	Unknown	PDF	N/A
Half-Hop: A graph upsampling approach for slowing down message passing	Unknown	PDF	N/A
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs	Unknown	PDF	N/A
Attributing Image Generative Models using Latent Fingerprints	Unknown	PDF	N/A
Last Switch Dependent Bandits with Monotone Payoff Functions	Unknown	PDF	N/A
Distribution Free Prediction Sets for Node Classification	Unknown	PDF	N/A
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes	Unknown	PDF	N/A
Deterministic equivalent and error universality of deep random features learning	Unknown	PDF	N/A
Demystifying Disagreement-on-the-Line in High Dimensions	Unknown	PDF	N/A
MixFlows: principled variational inference via mixed flows	Unknown	PDF	N/A
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets	Unknown	PDF	N/A
Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization	Unknown	PDF	N/A
A Kernelized Stein Discrepancy for Biological Sequences	Unknown	PDF	N/A
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case	Unknown	PDF	N/A
Estimating Causal Effects using a Multi-task Deep Ensemble	Unknown	PDF	N/A
Unveiling the Latent Space Geometry of Push-Forward Generative Models	Unknown	PDF	N/A
Model-Aware Contrastive Learning: Towards Escaping the Dilemmas	Unknown	PDF	N/A
Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming	Unknown	PDF	N/A
Conditionally Strongly Log-Concave Generative Models	Unknown	PDF	N/A
Nugget: Neural Agglomerative Embeddings of Text	Unknown	PDF	N/A
Stein Variational Goal Generation for adaptive Exploration in Multi-Goal Reinforcement Learning	Unknown	PDF	N/A
BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models	Unknown	PDF	N/A
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning	Unknown	PDF	N/A
PAL: Program-aided Language Models	Unknown	PDF	N/A
Causal Proxy Models for Concept-based Model Explanations	Unknown	PDF	N/A
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets	Unknown	PDF	N/A
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories	Unknown	PDF	N/A
An Information-Theoretic Analysis of Nonstationary Bandit Learning	Unknown	PDF	N/A
GuardHFL: Privacy Guardian for Heterogeneous Federated Learning	Unknown	PDF	N/A
Federated Linear Contextual Bandits with User-level Differential Privacy	Unknown	PDF	N/A
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion	Unknown	PDF	N/A
Context Consistency Regularization for Label Sparsity in Time Series	Unknown	PDF	N/A
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging	Unknown	PDF	N/A
Evaluating Self-Supervised Learning via Risk Decomposition	Unknown	PDF	N/A
Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions	Unknown	PDF	N/A
Global optimality for Euclidean CCCP under Riemannian convexity	Unknown	PDF	N/A
Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input	Unknown	PDF	N/A
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation	Unknown	PDF	N/A
PaLM-E: An Embodied Multimodal Language Model	Unknown	PDF	N/A
Universal Morphology Control via Contextual Modulation	Unknown	PDF	N/A
Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning	Unknown	PDF	N/A
Learning Control by Iterative Inversion	Unknown	PDF	N/A
Uncertainty Estimation by Fisher Information-based Evidential Deep Learning	Unknown	PDF	N/A
Do Perceptually Aligned Gradients Imply Robustness?	Unknown	PDF	N/A
Analyzing Diffusion as Serial Reproduction	Unknown	PDF	N/A
Certified Robust Neural Networks: Generalization and Corruption Resistance	Unknown	PDF	N/A
FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation	Unknown	PDF	N/A
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models	Unknown	PDF	N/A
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions	Unknown	PDF	N/A
MANSA: Learning Fast and Slow in Multi-Agent Systems	Unknown	PDF	N/A
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes	Unknown	PDF	N/A
Generative Decoding of Visual Stimuli	Unknown	PDF	N/A
Beyond the Edge of Stability via Two-step Gradient Updates	Unknown	PDF	N/A
Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction	Unknown	PDF	N/A
Contextual Conservative Interleaving Bandits	Unknown	PDF	N/A
Efficient List-Decodable Regression using Batches	Unknown	PDF	N/A
Do Machine Learning Models Learn Statistical Rules Inferred from Data?	Unknown	PDF	N/A
Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning	Unknown	PDF	N/A
Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery	Unknown	PDF	N/A
Learning Optimal Group-structured Individualized Treatment Rules with Many Treatments	Unknown	PDF	N/A
Tighter Bounds on the Expressivity of Transformer Encoders	Unknown	PDF	N/A
Parameter-Level Soft-Masking for Continual Learning	Unknown	PDF	N/A
Learnability and Algorithm for Continual Learning	Unknown	PDF	N/A
TGRL: An Algorithm for Teacher Guided Reinforcement Learning	Unknown	PDF	N/A
Importance Weighted Expectation-Maximization for Protein Sequence Design	Unknown	PDF	N/A
Graph Switching Dynamical Systems	Unknown	PDF	N/A
Protecting Language Generation Models via Invisible Watermarking	Unknown	PDF	N/A
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval	Unknown	PDF	N/A
Perturbation Analysis of Neural Collapse	Unknown	PDF	N/A
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining	Unknown	PDF	N/A
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers	Unknown	PDF	N/A
Von Mises Mixture Distributions for Molecular Conformation Generation	Unknown	PDF	N/A
The Power of Learned Locally Linear Models for Nonlinear Policy Optimization	Unknown	PDF	N/A
Straightening Out the Straight-Through Estimator: Overcoming Optimization Challenges in Vector Quantized Networks	Unknown	PDF	N/A
System Identification of Neural Systems: If We Got It Right, Would We Know?	Unknown	PDF	N/A
Multi-Agent Best Arm Identification with Private Communications	Unknown	PDF	N/A
Muse: Text-To-Image Generation via Masked Generative Transformers	Unknown	PDF	N/A
Learn to Accumulate Evidence from All Training Samples: Theory and Practice	Unknown	PDF	N/A
Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions	Unknown	PDF	N/A
Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm	Unknown	PDF	N/A
Robust Counterfactual Explanations for Neural Networks With Probabilistic Guarantees	Unknown	PDF	N/A
Communication-Constrained Bandits under Additive Gaussian Noise	Unknown	PDF	N/A
Everyone's Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval	Unknown	PDF	N/A
Poisoning Generative Replay in Continual Learning to Promote Forgetting	Unknown	PDF	N/A
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models	Unknown	PDF	N/A
The Regret of Exploration and the Control of Bad Episodes in Reinforcement Learning	Unknown	PDF	N/A
STEP: Learning N:M Structured Sparsity Masks from Scratch with Precondition	Unknown	PDF	N/A
Supervised Metric Learning to Rank for Retrieval via Contextual Similarity Optimization	Unknown	PDF	N/A
Constrained Phi-Equilibria	Unknown	PDF	N/A
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion	Unknown	PDF	N/A
Flexible Phase Dynamics for Bio-Plausible Contrastive Learning	Unknown	PDF	N/A
How much does Initialization Affect Generalization?	Unknown	PDF	N/A
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks	Unknown	PDF	N/A
ClusterFuG: Clustering Fully connected Graphs by Multicut	Unknown	PDF	N/A
Motion Question Answering via Modular Motion Programs	Unknown	PDF	N/A
Statistical Foundations of Prior-Data Fitted Networks	Unknown	PDF	N/A
RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation	Unknown	PDF	N/A
Partially Observable Multi-agent RL with (Quasi-)Efficiency: The Blessing of Information Sharing	Unknown	PDF	N/A
Linear Causal Disentanglement via Interventions	Unknown	PDF	N/A
Neural Algorithmic Reasoning with Causal Regularisation	Unknown	PDF	N/A
A theory of representation learning gives a deep generalisation of kernel methods	Unknown	PDF	N/A
PromptBoosting: Black-Box Text Classification with Ten Forward Passes	Unknown	PDF	N/A
Hierarchies of Reward Machines	Unknown	PDF	N/A
Nearly-tight Bounds for Deep Kernel Learning	Unknown	PDF	N/A
Simple Embodied Language Learning as a Byproduct of Meta-Reinforcement Learning	Unknown	PDF	N/A
Fractional Denoising for 3D Molecular Pre-training	Unknown	PDF	N/A
GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming	Unknown	PDF	N/A
Optimization for Amortized Inverse Problems	Unknown	PDF	N/A
Causal Bounds in Quasi-Markovian Graphs	Unknown	PDF	N/A
spred: Solving L1 Penalty with SGD	Unknown	PDF	N/A
Evidential Interactive Learning for Medical Image Captioning	Unknown	PDF	N/A
SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation	Unknown	PDF	N/A
RGE: A Repulsive Graph Rectification for Node Classification via Influence	Unknown	PDF	N/A
Investigating the Role of Model-Based Learning in Exploration and Transfer	Unknown	PDF	N/A
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks	Unknown	PDF	N/A
Efficient RL via Disentangled Environment and Agent Representations	Unknown	PDF	N/A
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions	Unknown	PDF	N/A
Online Mechanism Design for Information Acquisition	Unknown	PDF	N/A
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion	Unknown	PDF	N/A
Directed Chain Generative Adversarial Networks	Unknown	PDF	N/A
Layered State Discovery for Incremental Autonomous Exploration	Unknown	PDF	N/A
Bayes-optimal Learning of Deep Random Networks of Extensive-width	Unknown	PDF	N/A
CataBEEM: Integrating Latent Interaction Categories in Node-wise Community Detection Models for Network Data	Unknown	PDF	N/A
Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming	Unknown	PDF	N/A
Under-Counted Tensor Completion with Neural Incorporation of Attributes	Unknown	PDF	N/A
Polyhedral Complex Extraction from ReLU Networks using Edge Subdivision	Unknown	PDF	N/A
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA	Unknown	PDF	N/A
A Closer Look at Few-shot Classification Again	Unknown	PDF	N/A
QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms	Unknown	PDF	N/A
Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series	Unknown	PDF	N/A
X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion	Unknown	PDF	N/A
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration	Unknown	PDF	N/A
Quantum 3D Graph Learning with Applications to Molecule Embedding	Unknown	PDF	N/A
Submodular Order Functions and Assortment Optimization	Unknown	PDF	N/A
Go Beyond Imagination: Maximizing Episodic Reachability with World Models	Unknown	PDF	N/A
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning	Unknown	PDF	N/A
Bit Allocation using Optimization	Unknown	PDF	N/A
Interventional Causal Representation Learning	Unknown	PDF	N/A
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity	Unknown	PDF	N/A
Tied-Augment: Controlling Representation Similarity Improves Data Augmentation	Unknown	PDF	N/A
Mimetic Initialization of Self-Attention Layers	Unknown	PDF	N/A
Text-To-4D Dynamic Scene Generation	Unknown	PDF	N/A
Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver	Unknown	PDF	N/A
Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints	Unknown	PDF	N/A
Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction	Unknown	PDF	N/A
Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues	Unknown	PDF	N/A
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions	Unknown	PDF	N/A
Phase-aware Adversarial Defense for Improving Adversarial Robustness	Unknown	PDF	N/A
Bayesian Design Principles for Frequentist Sequential Learning	Unknown	PDF	N/A
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality	Unknown	PDF	N/A
Language Instructed Reinforcement Learning for Human-AI Coordination	Unknown	PDF	N/A
Generated Graph Detection	Unknown	PDF	N/A
The Catalog Problem: Clustering and Ordering Variable-Sized Sets	Unknown	PDF	N/A
Adaptive Smoothing Gradient Learning for Spiking Neural Networks	Unknown	PDF	N/A
A Theoretical Analysis of the Learning Dynamics under Class Imbalance	Unknown	PDF	N/A
PCA-based Multi-Task Learning: a Random Matrix Approach	Unknown	PDF	N/A
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification	Unknown	PDF	N/A
Efficient preconditioned stochastic gradient descent for estimation in latent variable models	Unknown	PDF	N/A
Multi-Layer Neural Networks as Trainable Ladders of Hilbert Spaces	Unknown	PDF	N/A
Lower Bounds for Learning in Revealing POMDPs	Unknown	PDF	N/A
On the Relationship Between Explanation and Prediction: A Causal View	Unknown	PDF	N/A
Revisiting Domain Randomization via Relaxed State-Adversarial Policy Optimization	Unknown	PDF	N/A
SemSup-XC: Semantic Supervision for Zero and Few-shot Extreme Classification	Unknown	PDF	N/A
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models	Unknown	PDF	N/A
Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data	Unknown	PDF	N/A
Expected Gradients of Maxout Networks and Consequences to Parameter Initialization	Unknown	PDF	N/A
Task-Specific Skill Localization in Fine-tuned Language Models	Unknown	PDF	N/A
Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction	Unknown	PDF	N/A
Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction	Unknown	PDF	N/A
Integrating Prior Knowledge in Contrastive Learning with Kernel	Unknown	PDF	N/A
Polynomial Preconditioning for Gradient Methods	Unknown	PDF	N/A
From Robustness to Privacy and Back	Unknown	PDF	N/A
Fast as CHITA: Neural Network Pruning with Combinatorial Optimization	Unknown	PDF	N/A
Private Federated Learning with Autotuned Compression	Unknown	PDF	N/A
Proper Scoring Rules for Survival Analysis	Unknown	PDF	N/A
CRISP: Curriculum based Sequential neural decoders for Polar code family	Unknown	PDF	N/A
FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems	Unknown	PDF	N/A
Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation	Unknown	PDF	N/A
Graphically Structured Diffusion Models	Unknown	PDF	N/A
On Many-Actions Policy Gradient	Unknown	PDF	N/A
Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps	Unknown	PDF	N/A
The Statistical Scope of Multicalibration	Unknown	PDF	N/A
Hardware-Aware Compression with Random Operation Access Specific Tile (ROAST) Hashing	Unknown	PDF	N/A
Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition	Unknown	PDF	N/A
Stabilizing GANs' Training with Brownian Motion Controller	Unknown	PDF	N/A
Featured Graph Coarsening with Similarity Guarantees	Unknown	PDF	N/A
Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies	Unknown	PDF	N/A
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation	Unknown	PDF	N/A
Improved Online Learning Algorithms for CTR Prediction in Ad Auctions	Unknown	PDF	N/A
Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation	Unknown	PDF	N/A
Width and Depth Limits Commute in Residual Networks	Unknown	PDF	N/A
Continual Learners are Incremental Model Generalizers	Unknown	PDF	N/A
Online Platt Scaling with Calibeating	Unknown	PDF	N/A
SpENCNN: Orchestrating Encoding and Sparsity for Fast Homomorphically Encrypted Neural Network Inference	Unknown	PDF	N/A
Data Feedback Loops: Model-driven Amplification of Dataset Biases	Unknown	PDF	N/A
Variational Autoencoding Neural Operators	Unknown	PDF	N/A
Meta-Learning the Inductive Bias of Simple Neural Circuits	Unknown	PDF	N/A
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization	Unknown	PDF	N/A
Predictive Flows for Faster Ford-Fulkerson	Unknown	PDF	N/A
Neural Latent Aligner: Cross-trial Alignment for Learning Representations of Complex, Naturalistic Neural Data	Unknown	PDF	N/A
Can Large Language Models Reason about Program Invariants?	Unknown	PDF	N/A
Provable Reset-free Reinforcement Learning by No-Regret Reduction	Unknown	PDF	N/A
On the Impact of Algorithmic Recourse on Social Segregation	Unknown	PDF	N/A
Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective	Unknown	PDF	N/A
Dropout Reduces Underfitting	Unknown	PDF	N/A
Towards a Persistence Diagram that is Robust to Noise and Varied Densities	Unknown	PDF	N/A
Conformal Prediction with Missing Values	Unknown	PDF	N/A
Diffusion Models are Minimax Optimal Distribution Estimators	Unknown	PDF	N/A
DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning	Unknown	PDF	N/A
MODeL: Memory Optimizations for Deep Learning	Unknown	PDF	N/A
Optimal Sets and Solution Paths of ReLU Networks	Unknown	PDF	N/A
Traversing Between Modes in Function Space for Fast Ensembling	Unknown	PDF	N/A
Fast Rates in Time-Varying Strongly Monotone Games	Unknown	PDF	N/A
Tighter Information-Theoretic Generalization Bounds from Supersamples	Unknown	PDF	N/A
Learning in POMDPs is Sample-Efficient with Hindsight Observability	Unknown	PDF	N/A
Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC	Unknown	PDF	N/A
Atari-5: Distilling the Arcade Learning Environment down to Five Games	Unknown	PDF	N/A
Data-Driven Subgroup Identification for Linear Regression	Unknown	PDF	N/A
Supported Trust Region Optimization for Offline Reinforcement Learning	Unknown	PDF	N/A
Multi-Objective Population Based Training	Unknown	PDF	N/A
Differentially Private Sharpness-Aware Training	Unknown	PDF	N/A
Nonparametric Extensions of Randomized Response for Private Confidence Sets	Unknown	PDF	N/A
Statistical Learning under Heterogenous Distribution Shift	Unknown	PDF	N/A
Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation	Unknown	PDF	N/A
Lookahead When It Matters: Adaptive Non-causal Transformers for Streaming Neural Transducers	Unknown	PDF	N/A
Adaptive Coordination in Social Embodied Rearrangement	Unknown	PDF	N/A
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks	Unknown	PDF	N/A
MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows	Unknown	PDF	N/A
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods	Unknown	PDF	N/A
Bigger, Better, Faster: Human-level Atari with human-level efficiency	Unknown	PDF	N/A
PLay: Parametrically Conditioned Layout Generation using Latent Diffusion	Unknown	PDF	N/A
Repository-Level Prompt Generation for Large Language Models of Code	Unknown	PDF	N/A
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline	Unknown	PDF	N/A
Bandits with Knapsacks: Advice on Time-Varying Demands	Unknown	PDF	N/A
Does Sparsity Help in Learning Misspecified Linear Bandits?	Unknown	PDF	N/A
The SSL Interplay: Augmentations, Inductive Bias, and Generalization	Unknown	PDF	N/A
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding	Unknown	PDF	N/A
Improved Algorithms for White-Box Adversarial Streams	Unknown	PDF	N/A
GREAD: Graph Neural Reaction-Diffusion Networks	Unknown	PDF	N/A
Structural Re-weighting Improves Graph Domain Adaptation	Unknown	PDF	N/A
One-Step Estimator for Permuted Sparse Recovery	Unknown	PDF	N/A
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems	Unknown	PDF	N/A
PAC Generalization via Invariant Representations	Unknown	PDF	N/A
Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts	Unknown	PDF	N/A
Adaptive IMLE for Few-shot Pretraining-free Generative Modelling	Unknown	PDF	N/A
Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models	Unknown	PDF	N/A
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits	Unknown	PDF	N/A
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances	Unknown	PDF	N/A
Toward Large Kernel Models	Unknown	PDF	N/A
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs	Unknown	PDF	N/A
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes	Unknown	PDF	N/A
Efficient Online Reinforcement Learning with Offline Data	Unknown	PDF	N/A
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains	Unknown	PDF	N/A
Moccasin: Efficient Tensor Rematerialization for Neural Networks	Unknown	PDF	N/A
On the Global Convergence of Risk-Averse Policy Gradient Methods with Expected Conditional Risk Measures	Unknown	PDF	N/A
"Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts	Unknown	PDF	N/A
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition	Unknown	PDF	N/A
Change is Hard: A Closer Look at Subpopulation Shift	Unknown	PDF	N/A
Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints	Unknown	PDF	N/A
Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano	Unknown	PDF	N/A
Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis	Unknown	PDF	N/A
On Penalty-based Bilevel Gradient Descent Method	Unknown	PDF	N/A
Fairness in Matching under Uncertainty	Unknown	PDF	N/A
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks	Unknown	PDF	N/A
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models	Unknown	PDF	N/A
On Regularization and Inference with Label Constraints	Unknown	PDF	N/A
Why does Throwing Away Data Improve Worst-Group Error?	Unknown	PDF	N/A
Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments	Unknown	PDF	N/A
Leveraging Proxy of Training Data for Test-Time Adaptation	Unknown	PDF	N/A
Generating Language Corrections for Teaching Physical Control Tasks	Unknown	PDF	N/A
Predictable MDP Abstraction for Unsupervised Model-Based RL	Unknown	PDF	N/A
Variance Control for Distributional Reinforcement Learning	Unknown	PDF	N/A
Anti-Exploration by Random Network Distillation	Unknown	PDF	N/A
Revisiting Bellman Errors for Offline Model Selection	Unknown	PDF	N/A
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?	Unknown	PDF	N/A
Interactive Object Placement with Reinforcement Learning	Unknown	PDF	N/A
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data	Unknown	PDF	N/A
GC-Flow: A Graph-Based Flow Network for Effective Clustering	Unknown	PDF	N/A
Warm-Start Actor-Critic: From Approximation Error to Sub-optimality Gap	Unknown	PDF	N/A
Coordinate Descent Methods for Fractional Minimization	Unknown	PDF	N/A
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series	Unknown	PDF	N/A
Network Effects in Performative Prediction Games	Unknown	PDF	N/A
On Enhancing Expressive Power via Compositions of Single Fixed-Size ReLU Network	Unknown	PDF	N/A
Best Arm Identification in Multi-Agent Multi-Armed Bandits	Unknown	PDF	N/A
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models	Unknown	PDF	N/A
Approximation Algorithms for Fair Range Clustering	Unknown	PDF	N/A
Probabilistic Attention-to-Influence Neural Models for Event Sequences	Unknown	PDF	N/A
RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank	Unknown	PDF	N/A
How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy	Unknown	PDF	N/A
Improving Fair Training under Correlation Shifts	Unknown	PDF	N/A
ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging	Unknown	PDF	N/A
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL	Unknown	PDF	N/A
End-to-End Multi-Object Detection with a Regularized Mixture Model	Unknown	PDF	N/A
Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation	Unknown	PDF	N/A
Towards Explaining Distribution Shifts	Unknown	PDF	N/A
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations	Unknown	PDF	N/A
Delving into Noisy Label Detection with Clean Data	Unknown	PDF	N/A
Smooth Non-stationary Bandits	Unknown	PDF	N/A
On Kinetic Optimal Probability Paths for Generative Models	Unknown	PDF	N/A
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry	Unknown	PDF	N/A
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification	Unknown	PDF	N/A
Restoration based Generative Models	Unknown	PDF	N/A
MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action	Unknown	PDF	N/A
Feature Programming for Multivariate Time Series Prediction	Unknown	PDF	N/A
Reliable Measures of Spread in High Dimensional Latent Spaces	Unknown	PDF	N/A
Bayesian Estimation of Differential Privacy	Unknown	PDF	N/A
Learning useful representations for shifting tasks and distributions	Unknown	PDF	N/A
Toward Efficient Gradient-Based Value Estimation	Unknown	PDF	N/A
All in a Row: Compressed Convolution Networks for Graphs	Unknown	PDF	N/A
Dynamics-inspired Neuromorphic Visual Representation Learning	Unknown	PDF	N/A
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning	Unknown	PDF	N/A
Neural networks trained with SGD learn distributions of increasing complexity	Unknown	PDF	N/A
Rethinking Weak Supervision in Helping Contrastive Learning	Unknown	PDF	N/A
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games	Unknown	PDF	N/A
Learning Intuitive Policies Using Action Features	Unknown	PDF	N/A
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design	Unknown	PDF	N/A
Sharper Bounds for $\ell_p$ Sensitivity Sampling	Unknown	PDF	N/A
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients	Unknown	PDF	N/A
Formalizing Preferences Over Runtime Distributions	Unknown	PDF	N/A
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories	Unknown	PDF	N/A
Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk	Unknown	PDF	N/A
Differentiable and Transportable Structure Learning	Unknown	PDF	N/A
Proximal Causal Learning of Conditional Average Treatment Effects	Unknown	PDF	N/A
Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data	Unknown	PDF	N/A
Weakly Supervised Regression with Interval Targets	Unknown	PDF	N/A
Deep Latent State Space Models for Time-Series Generation	Unknown	PDF	N/A
Implicit Neural Spatial Representations for Time-dependent PDEs	Unknown	PDF	N/A
Improving Bi-level Optimization Based Methods with Inspiration from Humans' Classroom Study Techniques	Unknown	PDF	N/A
DiscoBAX - Discovery of optimal intervention sets in genomic experiment design	Unknown	PDF	N/A
Sample Complexity of Probability Divergences under Group Symmetry	Unknown	PDF	N/A
Learning Instance-Specific Augmentations by Capturing Local Invariances	Unknown	PDF	N/A
HarsanyiNet: Computing Accurate Shapley Values in a Single Forward Propagation	Unknown	PDF	N/A
Learning Temporally AbstractWorld Models without Online Experimentation	Unknown	PDF	N/A
Input uncertainty propagation through trained neural networks	Unknown	PDF	N/A
Sequential Counterfactual Risk Minimization	Unknown	PDF	N/A
Applied Online Algorithms with Heterogeneous Predictors	Unknown	PDF	N/A
Omnipredictors for Constrained Optimization	Unknown	PDF	N/A
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.	Unknown	PDF	N/A
What can online reinforcement learning with function approximation benefit from general coverage conditions?	Unknown	PDF	N/A
An Effective Meaningful Way to Evaluate Survival Models	Unknown	PDF	N/A
The Dormant Neuron Phenomenon in Deep Reinforcement Learning	Unknown	PDF	N/A
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization	Unknown	PDF	N/A
Counterfactual Analysis in Dynamic Latent State Models	Unknown	PDF	N/A
On Bridging the Gap between Mean Field and Finite Width Deep Random Multilayer Perceptron with Batch Normalization	Unknown	PDF	N/A
Fully-Adaptive Composition in Differential Privacy	Unknown	PDF	N/A
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement Learning	Unknown	PDF	N/A
Settling the Reward Hypothesis	Unknown	PDF	N/A
Learning Lightweight Object Detectors via Multi-Teacher Progressive Distillation	Unknown	PDF	N/A
Representations and Exploration for Deep Reinforcement Learning using Singular Value Decomposition	Unknown	PDF	N/A
TAN Without a Burn: Scaling Laws of DP-SGD	Unknown	PDF	N/A
Quantile Credit Assignment	Unknown	PDF	N/A
The Benefits of Model-Based Generalization in Reinforcement Learning	Unknown	PDF	N/A
SpeedDETR: Speed-aware Transformers for End-to-end Object Detection	Unknown	PDF	N/A
Provably and Practically Efficient Neural Contextual Bandits	Unknown	PDF	N/A
Quantum Ridgelet Transform: Winning Lottery Ticket of Neural Networks with Quantum Computation	Unknown	PDF	N/A
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness	Unknown	PDF	N/A
Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing	Unknown	PDF	N/A
Distributed Linear Bandits under Communication Constraints	Unknown	PDF	N/A
A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions	Unknown	PDF	N/A
Sequential Kernelized Independence Testing	Unknown	PDF	N/A
Sequential Strategic Screening	Unknown	PDF	N/A
Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences	Unknown	PDF	N/A
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling	Unknown	PDF	N/A
TIDE: Time Derivative Diffusion for Deep Learning on Graphs	Unknown	PDF	N/A
Geometric Latent Diffusion Models for 3D Molecule Generation	Unknown	PDF	N/A
On the Statistical Benefits of Temporal Difference Learning	Unknown	PDF	N/A
Information-Theoretic State Space Model for Multi-View Reinforcement Learning	Unknown	PDF	N/A
Continual Vision-Language Representation Learning with Off-Diagonal Information	Unknown	PDF	N/A
Private Statistical Estimation of Many Quantiles	Unknown	PDF	N/A
AbODE: Ab initio antibody design using conjoined ODEs	Unknown	PDF	N/A
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion	Unknown	PDF	N/A
Propensity Matters: Measuring and Enhancing Balancing for Recommendation	Unknown	PDF	N/A
Improving Graph Generation by Restricting Graph Bandwidth	Unknown	PDF	N/A
Solving Linear Programs with Fast Online Learning Algorithms	Unknown	PDF	N/A
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning	Unknown	PDF	N/A
Robust Collaborative Learning with Linear Gradient Overhead	Unknown	PDF	N/A
Towards Understanding and Improving GFlowNet Training	Unknown	PDF	N/A
MALTS: Matching After Learning to Stretch	Unknown	PDF	N/A
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation	Unknown	PDF	N/A
Efficient Training of Language Models using Few-Shot Learning	Unknown	PDF	N/A
A Universal Unbiased Method for Classification from Aggregate Observations	Unknown	PDF	N/A
On the Convergence of SARSA with Linear Function Approximation	Unknown	PDF	N/A
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction	Unknown	PDF	N/A
PAC-Bayesian Generalization Bounds for Adversarial Generative Models	Unknown	PDF	N/A
Fairness in Streaming Submodular Maximization over a Matroid Constraint	Unknown	PDF	N/A
Optimal randomized multilevel Monte Carlo for repeatedly nested expectations	Unknown	PDF	N/A
PAC Prediction Sets for Large Language Models of Code	Unknown	PDF	N/A
Scalable Adaptive Computation for Iterative Generation	Unknown	PDF	N/A
ConCerNet: A Contrastive Learning Based Framework for Automated Conservation Law Discovery and Trustworthy Dynamical System Prediction	Unknown	PDF	N/A
Sequential Changepoint Detection via Backward Confidence Sequences	Unknown	PDF	N/A
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN	Unknown	PDF	N/A
Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction	Unknown	PDF	N/A
On the Privacy-Robustness-Utility Trilemma in Distributed Learning	Unknown	PDF	N/A
Identifiability of Label Noise Transition Matrix	Unknown	PDF	N/A
Model Transferability with Responsive Decision Subjects	Unknown	PDF	N/A
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs	Unknown	PDF	N/A
Concurrent Shuffle Differential Privacy Under Continual Observation	Unknown	PDF	N/A
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes	Unknown	PDF	N/A
Efficient displacement convex optimization with particle gradient descent	Unknown	PDF	N/A
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient	Unknown	PDF	N/A
Collaborative Causal Inference with Fair Incentives	Unknown	PDF	N/A
Fair yet Asymptotically Equal Collaborative Learning	Unknown	PDF	N/A
Global Context Vision Transformers	Unknown	PDF	N/A
Distortion and Uncertainty Aware Loss for Panoramic Depth Completion	Unknown	PDF	N/A
A Kernel-Based View of Language Model Fine-Tuning	Unknown	PDF	N/A
From Perception to Programs: Regularize, Overparameterize, and Amortize	Unknown	PDF	N/A
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models	Unknown	PDF	N/A
Geometric Clifford Algebra Networks	Unknown	PDF	N/A
Efficiently predicting high resolution mass spectra with graph neural networks	Unknown	PDF	N/A
Learning Mixtures of Markov Chains and MDPs	Unknown	PDF	N/A
Generalized Implicit Follow-The-Regularized-Leader	Unknown	PDF	N/A
Spurious Valleys and Clustering Behavior of Neural Networks	Unknown	PDF	N/A
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape	Unknown	PDF	N/A
A Robust Test for the Stationarity Assumption in Sequential Decision Making	Unknown	PDF	N/A
Towards a better understanding of representation dynamics under TD-learning	Unknown	PDF	N/A
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation	Unknown	PDF	N/A
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching	Unknown	PDF	N/A
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity	Unknown	PDF	N/A
Explainable Data-Driven Optimization: From Context to Decision and Back Again	Unknown	PDF	N/A
Why Random Pruning Is All We Need to Start Sparse	Unknown	PDF	N/A
Direct Parameterization of Lipschitz-Bounded Deep Networks	Unknown	PDF	N/A
FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning	Unknown	PDF	N/A
Generalization Analysis for Contrastive Representation Learning	Unknown	PDF	N/A
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning	Unknown	PDF	N/A
Predicting Rare Events by Shrinking Towards Proportional Odds	Unknown	PDF	N/A
Online Nonstochastic Control with Adversarial and Static Constraints	Unknown	PDF	N/A
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning	Unknown	PDF	N/A
Surface Snapping Optimization Layer for Single Image Object Shape Reconstruction	Unknown	PDF	N/A
Relevant Walk Search for Explaining Graph Neural Networks	Unknown	PDF	N/A
VectorMapNet: End-to-end Vectorized HD Map Learning	Unknown	PDF	N/A
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts	Unknown	PDF	N/A
Representer Point Selection for Explaining Regularized High-dimensional Models	Unknown	PDF	N/A
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection	Unknown	PDF	N/A
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation	Unknown	PDF	N/A
Cell-Free Latent Go-Explore	Unknown	PDF	N/A
Towards Understanding Generalization of Graph Neural Networks	Unknown	PDF	N/A
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent	Unknown	PDF	N/A
Fair and Optimal Classification via Post-Processing	Unknown	PDF	N/A
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels	Unknown	PDF	N/A
Graph Neural Tangent Kernel: Convergence on Large Graphs	Unknown	PDF	N/A
Tractable Control for Autoregressive Language Generation	Unknown	PDF	N/A
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary	Unknown	PDF	N/A
Graph Contrastive Backdoor Attacks	Unknown	PDF	N/A
Jump-Start Reinforcement Learning	Unknown	PDF	N/A
COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models	Unknown	PDF	N/A
The Impact of Exploration on Convergence and Performance of Multi-Agent Q-Learning Dynamics	Unknown	PDF	N/A
Vector-Valued Control Variates	Unknown	PDF	N/A
Algorithmic Collective Action in Machine Learning	Unknown	PDF	N/A
Causal Structure Learning for Latent Intervened Non-stationary Data	Unknown	PDF	N/A
Neural Inverse Operators for Solving PDE Inverse Problems	Unknown	PDF	N/A
A Distribution Optimization Framework for Confidence Bounds of Risk Measures	Unknown	PDF	N/A
Exact Inference in High-order Structured Prediction	Unknown	PDF	N/A
On the Complexity of Bayesian Generalization	Unknown	PDF	N/A
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise	Unknown	PDF	N/A
SGD with AdaGrad Stepsizes: Full Adaptivity with High Probability to Unknown Parameters, Unbounded Gradients and Affine Variance	Unknown	PDF	N/A
On the Convergence of Gradient Flow on Multi-layer Linear Models	Unknown	PDF	N/A
Unscented Autoencoder	Unknown	PDF	N/A
Individually Fair Learning with One-Sided Feedback	Unknown	PDF	N/A
Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction	Unknown	PDF	N/A
Training Deep Surrogate Models with Large Scale Online Learning	Unknown	PDF	N/A
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions	Unknown	PDF	N/A
Near-Optimal Quantum Coreset Construction Algorithms for Clustering	Unknown	PDF	N/A
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations	Unknown	PDF	N/A
Differentiable Tree Operations Promote Compositional Generalization	Unknown	PDF	N/A
CrossSplit: Mitigating Label Noise Memorization through Data Splitting	Unknown	PDF	N/A
Generalizing Neural Wave Functions	Unknown	PDF	N/A
Deep Laplacian-based Options for Temporally-Extended Exploration	Unknown	PDF	N/A
Fourmer: An Efficient Global Modeling Paradigm for Image Restoration	Unknown	PDF	N/A
Shapley Based Residual Decomposition for Instance Analysis	Unknown	PDF	N/A
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining	Unknown	PDF	N/A
Reachability-Aware Laplacian Representation in Reinforcement Learning	Unknown	PDF	N/A
Provably Invariant Learning without Domain Information	Unknown	PDF	N/A
Improved Online Conformal Prediction via Strongly Adaptive Online Learning	Unknown	PDF	N/A
Total Variation Graph Neural Networks	Unknown	PDF	N/A
ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs	Unknown	PDF	N/A
Hidden Symmetries of ReLU Networks	Unknown	PDF	N/A
Topological Singularity Detection at Multiple Scales	Unknown	PDF	N/A
Better Training of GFlowNets with Local Credit and Incomplete Trajectories	Unknown	PDF	N/A
Do You Remember? Overcoming Catastrophic Forgetting for Fake Audio Detection	Unknown	PDF	N/A
Symmetry-Aware Robot Design with Structured Subgroups	Unknown	PDF	N/A
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning	Unknown	PDF	N/A
Provable Data Subset Selection For Efficient Neural Networks Training	Unknown	PDF	N/A
GFlowOut: Dropout with Generative Flow Networks	Unknown	PDF	N/A
FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization	Unknown	PDF	N/A
Controllability-Aware Unsupervised Skill Discovery	Unknown	PDF	N/A
ChiPFormer: Transferable Chip Placement via Offline Decision Transformer	Unknown	PDF	N/A
Towards credible visual model interpretation with path attribution	Unknown	PDF	N/A
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping	Unknown	PDF	N/A
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes	Unknown	PDF	N/A
The Edge of Orthogonality: A Simple View of What Makes BYOL Tick	Unknown	PDF	N/A
Reinforcement Learning with General Utilities: Simpler Variance Reduction and Large State-Action Space	Unknown	PDF	N/A
Hyperbolic Image-text Representations	Unknown	PDF	N/A
LongCoder: A Long-Range Pre-trained Language Model for Code Completion	Unknown	PDF	N/A
WL meet VC	Unknown	PDF	N/A
Regret-Minimizing Double Oracle for Extensive-Form Games	Unknown	PDF	N/A
Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions	Unknown	PDF	N/A
Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning	Unknown	PDF	N/A
Personalized Federated Learning with Inferred Collaboration Graphs	Unknown	PDF	N/A
Run-off Election: Improved Provable Defense against Data Poisoning Attacks	Unknown	PDF	N/A
Regret Minimization and Convergence to Equilibria in General-sum Markov Games	Unknown	PDF	N/A
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel	Unknown	PDF	N/A
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks	Unknown	PDF	N/A
Hyperbolic Representation Learning: Revisiting and Advancing	Unknown	PDF	N/A
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution	Unknown	PDF	N/A
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation	Unknown	PDF	N/A
Magneto: A Foundation Transformer	Unknown	PDF	N/A
Minimizing Trajectory Curvature of ODE-based Generative Models	Unknown	PDF	N/A
How Jellyfish Characterise Alternating Group Equivariant Neural Networks	Unknown	PDF	N/A
Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning	Unknown	PDF	N/A
Safe Offline Reinforcement Learning with Real-Time Budget Constraints	Unknown	PDF	N/A
Improved Active Multi-Task Representation Learning via Lasso	Unknown	PDF	N/A
Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual Cues	Unknown	PDF	N/A
SlotGAT: Slot-based Message Passing for Heterogeneous Graphs	Unknown	PDF	N/A
Hierarchical Diffusion for Offline Decision Making	Unknown	PDF	N/A
Stochastic Gradient Descent under Markovian Sampling Schemes	Unknown	PDF	N/A
Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables	Unknown	PDF	N/A
Difference of submodular minimization via DC programming	Unknown	PDF	N/A
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization	Unknown	PDF	N/A
Nonparametric Iterative Machine Teaching	Unknown	PDF	N/A
A Fast Optimistic Method for Monotone Variational Inequalities	Unknown	PDF	N/A
Deep Regression Unlearning	Unknown	PDF	N/A
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks	Unknown	PDF	N/A
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis	Unknown	PDF	N/A
Decentralized Stochastic Bilevel Optimization with Improved per-Iteration Complexity	Unknown	PDF	N/A
Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule	Unknown	PDF	N/A
Neural Prediction Errors enable Analogical Visual Reasoning in Human Standard Intelligence Tests	Unknown	PDF	N/A
Minimal Width for Universal Property of Deep RNN	Unknown	PDF	N/A
Mixture Proportion Estimation Beyond Irreducibility	Unknown	PDF	N/A
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals	Unknown	PDF	N/A
Reinforcement Learning from Passive Data via Latent Intentions	Unknown	PDF	N/A
Refined Regret for Adversarial MDPs with Linear Function Approximation	Unknown	PDF	N/A
Label differential privacy and private training data release	Unknown	PDF	N/A
Metagenomic Binning using Connectivity-constrained Variational Autoencoders	Unknown	PDF	N/A
Automatically marginalized MCMC in probabilistic programming	Unknown	PDF	N/A
Calibrating Multimodal Learning	Unknown	PDF	N/A
On the Optimality of Misspecified Kernel Ridge Regression	Unknown	PDF	N/A
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning	Unknown	PDF	N/A
Harmonic Neural Networks	Unknown	PDF	N/A
Approximately Optimal Core Shapes for Tensor Decompositions	Unknown	PDF	N/A
COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects	Unknown	PDF	N/A
A Flexible Diffusion Model	Unknown	PDF	N/A
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation	Unknown	PDF	N/A
Generative Graph Dictionary Learning	Unknown	PDF	N/A
Solving High-Dimensional PDEs with Latent Spectral Models	Unknown	PDF	N/A
Distance Weighted Supervised Learning for Offline Interaction Data	Unknown	PDF	N/A
Optimal Arms Identification with Knapsacks	Unknown	PDF	N/A
Effective Structured Prompting by Meta-Learning and Representative Verbalizer	Unknown	PDF	N/A
Markovian Gaussian Process Variational Autoencoders	Unknown	PDF	N/A
Active causal structure learning with advice	Unknown	PDF	N/A
New metrics and search algorithms for weighted causal DAGs	Unknown	PDF	N/A
End-to-end Differentiable Clustering with Associative Memories	Unknown	PDF	N/A
Trainability, Expressivity and Interpretability in Gated Neural ODEs	Unknown	PDF	N/A
Differentially Private Hierarchical Clustering with Provable Approximation Guarantees	Unknown	PDF	N/A
Adapting to game trees in zero-sum imperfect information games	Unknown	PDF	N/A
Fast Excess Risk Rates via Offset Rademacher Complexity	Unknown	PDF	N/A
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations	Unknown	PDF	N/A
Reward-Mixing MDPs with Few Latent Contexts are Learnable	Unknown	PDF	N/A
Maximal Initial Learning Rates in Deep ReLU Networks	Unknown	PDF	N/A
Improving Visual Prompt Tuning for Self-supervised Vision Transformers	Unknown	PDF	N/A
One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding	Unknown	PDF	N/A
Instrumental Variable Estimation of Average Partial Causal Effects	Unknown	PDF	N/A
Path Neural Networks: Expressive and Accurate Graph Neural Networks	Unknown	PDF	N/A
Action Matching: Learning Stochastic Dynamics from Samples	Unknown	PDF	N/A
How to address monotonicity for model risk management?	Unknown	PDF	N/A
IncDSI: Incrementally Updatable Document Retrieval	Unknown	PDF	N/A
Computational Asymmetries in Robust Classification	Unknown	PDF	N/A
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models	Unknown	PDF	N/A
GNOT: A General Neural Operator Transformer for Operator Learning	Unknown	PDF	N/A
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data	Unknown	PDF	N/A
Robust Subtask Learning for Compositional Generalization	Unknown	PDF	N/A
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale	Unknown	PDF	N/A
DRew: Dynamically Rewired Message Passing with Delay	Unknown	PDF	N/A
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication	Unknown	PDF	N/A
Are Large Kernels Better Teachers than Transformers for ConvNets?	Unknown	PDF	N/A
GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations	Unknown	PDF	N/A
The case for 4-bit precision: k-bit Inference Scaling Laws	Unknown	PDF	N/A
SWARM Parallelism: Training Large Models Can Be Surprisingly Communication-Efficient	Unknown	PDF	N/A
Generating Private Synthetic Data with Genetic Algorithms	Unknown	PDF	N/A
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning	Unknown	PDF	N/A
Causal Strategic Classification: A Tale of Two Shifts	Unknown	PDF	N/A
Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature	Unknown	PDF	N/A
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm	Unknown	PDF	N/A
Bootstrapped Representations in Reinforcement Learning	Unknown	PDF	N/A
CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms	Unknown	PDF	N/A
VA-learning as a more efficient alternative to Q-learning	Unknown	PDF	N/A
Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning	Unknown	PDF	N/A
Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities	Unknown	PDF	N/A
An SDE for Modeling SAM: Theory and Insights	Unknown	PDF	N/A
SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching	Unknown	PDF	N/A
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift	Unknown	PDF	N/A
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator	Unknown	PDF	N/A
Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs	Unknown	PDF	N/A
Causal Modeling of Policy Interventions From Treatment–Outcome Sequences	Unknown	PDF	N/A
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning	Unknown	PDF	N/A
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning	Unknown	PDF	N/A
Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network	Unknown	PDF	N/A
The Monge Gap: A Regularizer to Learn All Transport Maps	Unknown	PDF	N/A
Tighter Lower Bounds for Shuffling SGD: Random Permutations and Beyond	Unknown	PDF	N/A
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models	Unknown	PDF	N/A
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization	Unknown	PDF	N/A
Hierarchical Programmatic Reinforcement Learning via Learning to Compose Programs	Unknown	PDF	N/A
Marginalization is not Marginal: No Bad VAE Local Minima when Learning Optimal Sparse Representations	Unknown	PDF	N/A
Extrapolative Controlled Sequence Generation via Iterative Refinement	Unknown	PDF	N/A
Sampling-based Nyström Approximation and Kernel Quadrature	Unknown	PDF	N/A
Global Optimization with Parametric Function Approximation	Unknown	PDF	N/A
Towards Constituting Mathematical Structures for Learning to Optimize	Unknown	PDF	N/A
On the Initialization of Graph Neural Networks	Unknown	PDF	N/A
From Hypergraph Energy Functions to Hypergraph Neural Networks	Unknown	PDF	N/A
Data Efficient Neural Scaling Law via Model Reusing	Unknown	PDF	N/A
Learning to Optimize Differentiable Games	Unknown	PDF	N/A
Cluster Explanation via Polyhedral Descriptions	Unknown	PDF	N/A
Certifying Ensembles: A General Certification Theory with S-Lipschitzness	Unknown	PDF	N/A
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems	Unknown	PDF	N/A
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations	Unknown	PDF	N/A
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning	Unknown	PDF	N/A
Non-stationary Reinforcement Learning under General Function Approximation	Unknown	PDF	N/A
Mechanistic Mode Connectivity	Unknown	PDF	N/A
Understanding and Defending Patched-based Adversarial Attacks for Vision Transformer	Unknown	PDF	N/A
PFGM++: Unlocking the Potential of Physics-Inspired Generative Models	Unknown	PDF	N/A
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning	Unknown	PDF	N/A
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models	Unknown	PDF	N/A
Differentially Private Distributed Bayesian Linear Regression with MCMC	Unknown	PDF	N/A
Whose Opinions Do Language Models Reflect?	Unknown	PDF	N/A
Emergence of Sparse Representations from Noise	Unknown	PDF	N/A
Pareto Regret Analyses in Multi-objective Multi-armed Bandit	Unknown	PDF	N/A
Transformers Learn In-Context by Gradient Descent	Unknown	PDF	N/A
Which Tricks are Important for Learning to Rank?	Unknown	PDF	N/A
Chemically Transferable Generative Backmapping of Coarse-Grained Proteins	Unknown	PDF	N/A
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions	Unknown	PDF	N/A
Incentivizing Exploration with Linear Contexts and Combinatorial Actions	Unknown	PDF	N/A
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift	Unknown	PDF	N/A
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning	Unknown	PDF	N/A
HOPE: High-order Graph ODE For Modeling Interacting Dynamics	Unknown	PDF	N/A
Moderately Distributional Exploration for Domain Generalization	Unknown	PDF	N/A
Social learning spontaneously emerges by searching optimal heuristics with deep reinforcement learning	Unknown	PDF	N/A
Unlocking Slot Attention by Changing Optimal Transport Costs	Unknown	PDF	N/A
Efficient Sequence Transduction by Jointly Predicting Tokens and Durations	Unknown	PDF	N/A
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective	Unknown	PDF	N/A
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs	Unknown	PDF	N/A
Faster Rates of Convergence to Stationary Points in Differentially Private Optimization	Unknown	PDF	N/A
Adaptive Compositional Continual Meta-Learning	Unknown	PDF	N/A
Learning Affinity with Hyperbolic Representation for Spatial Propagation	Unknown	PDF	N/A
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons	Unknown	PDF	N/A
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables	Unknown	PDF	N/A
On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs	Unknown	PDF	N/A
Loss Balancing for Fair Supervised Learning	Unknown	PDF	N/A
Target-Aware Generative Augmentations for Single-Shot Adaptation	Unknown	PDF	N/A
Who Needs to Know? Minimal Knowledge for Optimal Coordination	Unknown	PDF	N/A
Online Learning with Feedback Graphs: The True Shape of Regret	Unknown	PDF	N/A
AutoCoreset: An Automatic Practical Coreset Construction Framework	Unknown	PDF	N/A
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression	Unknown	PDF	N/A
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Eventual Discounting Temporal Logic Counterfactual Experience Replay	Unknown	PDF	N/A
Extrapolated Random Tree for Regression	Unknown	PDF	N/A
On the Identifiability and Estimation of Causal Location-Scale Noise Models	Unknown	PDF	N/A
Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations	Unknown	PDF	N/A
Understanding the Impact of Adversarial Robustness on Accuracy Disparity	Unknown	PDF	N/A
MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior	Unknown	PDF	N/A
Pruning via Sparsity-indexed ODE: a Continuous Sparsity Viewpoint	Unknown	PDF	N/A
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework	Unknown	PDF	N/A
Adaptive Estimation of Graphical Models under Total Positivity	Unknown	PDF	N/A
Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions	Unknown	PDF	N/A
Additive Causal Bandits with Unknown Graph	Unknown	PDF	N/A
Multi-Task Structural Learning using Local Task Similarity induced Neuron Creation and Removal	Unknown	PDF	N/A
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models	Unknown	PDF	N/A
Quantitative Universal Approximation Bounds for Deep Belief Networks	Unknown	PDF	N/A
Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations	Unknown	PDF	N/A
Expectation-Complete Graph Representations with Homomorphisms	Unknown	PDF	N/A
Group Equivariant Fourier Neural Operators for Partial Differential Equations	Unknown	PDF	N/A
SGD with Large Step Sizes Learns Sparse Features	Unknown	PDF	N/A
MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations	Unknown	PDF	N/A
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning	Unknown	PDF	N/A
Auxiliary Learning as an Asymmetric Bargaining Game	Unknown	PDF	N/A
Equivariant Architectures for Learning in Deep Weight Spaces	Unknown	PDF	N/A
InGram: Inductive Knowledge Graph Embedding via Relation Graphs	Unknown	PDF	N/A
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis	Unknown	PDF	N/A
Reconstructive Neuron Pruning for Backdoor Defense	Unknown	PDF	N/A
Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic	Unknown	PDF	N/A
Unifying Molecular and Textual Representations via Multi-task Language Modelling	Unknown	PDF	N/A
A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations	Unknown	PDF	N/A
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers	Unknown	PDF	N/A
Adaptive Computation with Elastic Input Sequence	Unknown	PDF	N/A
The Ideal Continual Learner: An Agent That Never Forgets	Unknown	PDF	N/A
Collaborative Multi-Agent Heterogeneous Multi-Armed Bandits	Unknown	PDF	N/A
Deep Anomaly Detection under Labeling Budget Constraints	Unknown	PDF	N/A
Differentiable Simulations for Enhanced Sampling of Rare Events	Unknown	PDF	N/A
Coupled Variational Autoencoder	Unknown	PDF	N/A
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification	Unknown	PDF	N/A
Dynamic Constrained Submodular Optimization with Polylogarithmic Update Time	Unknown	PDF	N/A
$H$-Consistency Bounds for Pairwise Misranking Loss Surrogates	Unknown	PDF	N/A
Fast Algorithms for Distributed k-Clustering with Outliers	Unknown	PDF	N/A
Revisiting Weighted Aggregation in Federated Learning with Neural Networks	Unknown	PDF	N/A
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction	Unknown	PDF	N/A
When does Privileged information Explain Away Label Noise?	Unknown	PDF	N/A
On Pitfalls of Test-Time Adaptation	Unknown	PDF	N/A
Distributional Offline Policy Evaluation with Predictive Error Guarantees	Unknown	PDF	N/A
Distilling Internet-Scale Vision-Language Models into Embodied Agents	Unknown	PDF	N/A
Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space	Unknown	PDF	N/A
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise	Unknown	PDF	N/A
On the Training Instability of Shuffling SGD with Batch Normalization	Unknown	PDF	N/A
Doubly Adversarial Federated Bandits	Unknown	PDF	N/A
Measuring the Impact of Programming Language Distribution	Unknown	PDF	N/A
Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making	Unknown	PDF	N/A
DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization	Unknown	PDF	N/A
Why Is Public Pretraining Necessary for Private Model Training?	Unknown	PDF	N/A
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning	Unknown	PDF	N/A
Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss	Unknown	PDF	N/A
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score	Unknown	PDF	N/A
Detecting Out-of-distribution Data through In-distribution Class Prior	Unknown	PDF	N/A
Large Language Models Can Be Easily Distracted by Irrelevant Context	Unknown	PDF	N/A
PFNs4BO: In-Context Learning for Bayesian Optimization	Unknown	PDF	N/A
Meta-learning Parameterized Skills	Unknown	PDF	N/A
Learning Globally Smooth Functions on Manifolds	Unknown	PDF	N/A
MyoDex: A Generalizable Prior for Dexterous Manipulation	Unknown	PDF	N/A
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference	Unknown	PDF	N/A
FAENet: Frame Averaging Equivariant GNN for Materials Modeling	Unknown	PDF	N/A
Beyond In-Domain Scenarios: Robust Density-Aware Calibration	Unknown	PDF	N/A
Learning to Decouple Complex Systems	Unknown	PDF	N/A
Linkless Link Prediction via Relational Distillation	Unknown	PDF	N/A
Cross-Entropy Loss Functions: Theoretical Analysis and Applications	Unknown	PDF	N/A
Can Forward Gradient Match Backpropagation?	Unknown	PDF	N/A
Identifying Interpretable Subspaces in Image Representations	Unknown	PDF	N/A
Global Selection of Contrastive Batches via Optimization on Sample Permutations	Unknown	PDF	N/A
Differentiable Multi-Target Causal Bayesian Experimental Design	Unknown	PDF	N/A
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs	Unknown	PDF	N/A
Bandit Online Linear Optimization with Hints and Queries	Unknown	PDF	N/A
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models	Unknown	PDF	N/A
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation	Unknown	PDF	N/A
ClimaX: A foundation model for weather and climate	Unknown	PDF	N/A
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation	Unknown	PDF	N/A
Generative Adversarial Symmetry Discovery	Unknown	PDF	N/A
The Benefits of Mixup for Feature Learning	Unknown	PDF	N/A
Towards Robust Graph Incremental Learning on Evolving Graphs	Unknown	PDF	N/A
FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization	Unknown	PDF	N/A
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU	Unknown	PDF	N/A
Learning GFlowNets From Partial Episodes For Improved Convergence And Stability	Unknown	PDF	N/A
A theory of continuous generative flow networks	Unknown	PDF	N/A
N$\text{A}^\text{2}$Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning	Unknown	PDF	N/A
The Saddle-Point Method in Differential Privacy	Unknown	PDF	N/A
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time	Unknown	PDF	N/A
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning	Unknown	PDF	N/A
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting	Unknown	PDF	N/A
SinFusion: Training Diffusion Models on a Single Image or Video	Unknown	PDF	N/A
Simple Hardware-Efficient Long Convolutions for Sequence Modeling	Unknown	PDF	N/A
LIV: Language-Image Representations and Rewards for Robotic Control	Unknown	PDF	N/A
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning	Unknown	PDF	N/A
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference	Unknown	PDF	N/A
Leveraging Offline Data in Online Reinforcement Learning	Unknown	PDF	N/A
Learning Noisy OR Bayesian Networks with Max-Product Belief Propagation	Unknown	PDF	N/A
RLSbench: Domain Adaptation Under Relaxed Label Shift	Unknown	PDF	N/A
Learning to Boost Training by Periodic Nowcasting Near Future Weights	Unknown	PDF	N/A
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models	Unknown	PDF	N/A
Differentially Private Optimization on Large Model at Small Cost	Unknown	PDF	N/A
Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark	Unknown	PDF	N/A
Predicting Ordinary Differential Equations with Transformers	Unknown	PDF	N/A
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference	Unknown	PDF	N/A
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits	Unknown	PDF	N/A
I$^2$SB: Image-to-Image Schrödinger Bridge	Unknown	PDF	N/A
GFlowNet-EM for Learning Compositional Latent Variable Models	Unknown	PDF	N/A
FeDXL: Provable Federated Learning for Deep X-Risk Optimization	Unknown	PDF	N/A
Blockwise Stochastic Variance-Reduced Methods with Parallel Speedup for Multi-Block Bilevel Optimization	Unknown	PDF	N/A
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization	Unknown	PDF	N/A
Text-To-Concept (and Back) via Cross-Model Alignment	Unknown	PDF	N/A
Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping	Unknown	PDF	N/A
Continuously Parameterized Mixture Models	Unknown	PDF	N/A
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels	Unknown	PDF	N/A
Regression with Sensor Data Containing Incomplete Observations	Unknown	PDF	N/A
Superhuman Fairness	Unknown	PDF	N/A
Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms	Unknown	PDF	N/A
PWSHAP: A Path-Wise Explanation Model for Targeted Variables	Unknown	PDF	N/A
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation	Unknown	PDF	N/A
Discovering Object-Centric Generalized Value Functions From Pixels	Unknown	PDF	N/A
Multi-channel Autobidding with Budget and ROI Constraints	Unknown	PDF	N/A
Principled Acceleration of Iterative Numerical Methods Using Machine Learning	Unknown	PDF	N/A
Beam Tree Recursive Cells	Unknown	PDF	N/A
Monotonic Location Attention for Length Generalization	Unknown	PDF	N/A
GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks	Unknown	PDF	N/A
UPSCALE: Unconstrained Channel Pruning	Unknown	PDF	N/A
Trompt: Towards a Better Deep Neural Network for Tabular Data	Unknown	PDF	N/A
Gibbsian Polar Slice Sampling	Unknown	PDF	N/A
Graph Reinforcement Learning for Network Control via Bi-Level Optimization	Unknown	PDF	N/A
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation	Unknown	PDF	N/A
On the Estimation of Gaussian Mixture Copula Models	Unknown	PDF	N/A
Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes	Unknown	PDF	N/A
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs	Unknown	PDF	N/A
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes	Unknown	PDF	N/A
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding	Unknown	PDF	N/A
Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian	Unknown	PDF	N/A
On the Connection Between MPNN and Graph Transformer	Unknown	PDF	N/A
Policy Gradient in Robust MDPs with Global Convergence Guarantee	Unknown	PDF	N/A
Unit Scaling: Out-of-the-Box Low-Precision Training	Unknown	PDF	N/A
Masked Trajectory Models for Prediction, Representation, and Control	Unknown	PDF	N/A
A Three-regime Model of Network Pruning	Unknown	PDF	N/A
DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature	Unknown	PDF	N/A
Data Structures for Density Estimation	Unknown	PDF	N/A
Training Normalizing Flows from Dependent Data	Unknown	PDF	N/A
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory	Unknown	PDF	N/A
Overcoming Simplicity Bias in Deep Networks using a Feature Sieve	Unknown	PDF	N/A
Multi-Objective GFlowNets	Unknown	PDF	N/A
Discrete Key-Value Bottleneck	Unknown	PDF	N/A
Hyena Hierarchy: Towards Larger Convolutional Language Models	Unknown	PDF	N/A
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression	Unknown	PDF	N/A
Tighter Analysis for ProxSkip	Unknown	PDF	N/A
High-Probability Bounds for Stochastic Optimization and Variational Inequalities: the Case of Unbounded Variance	Unknown	PDF	N/A
KDEformer: Accelerating Transformers via Kernel Density Estimation	Unknown	PDF	N/A
Streaming Submodular Maximization with Differential Privacy	Unknown	PDF	N/A
Learning Neural PDE Solvers with Parameter-Guided Channel Attention	Unknown	PDF	N/A
Margin-based sampling in high dimensions: When being active is less efficient than staying passive	Unknown	PDF	N/A
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Poses	Unknown	PDF	N/A
Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network	Unknown	PDF	N/A
Large Language Models Struggle to Learn Long-Tail Knowledge	Unknown	PDF	N/A
Sequential Predictive Conformal Inference for Time Series	Unknown	PDF	N/A
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models	Unknown	PDF	N/A
Hierarchical Neural Coding for Controllable CAD Model Generation	Unknown	PDF	N/A
Opponent-Limited Online Search for Imperfect Information Games	Unknown	PDF	N/A
Fair Densities via Boosting the Sufficient Statistics of Exponential Families	Unknown	PDF	N/A
User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems	Unknown	PDF	N/A
Matrix Estimation for Individual Fairness	Unknown	PDF	N/A
Better Diffusion Models Further Improve Adversarial Training	Unknown	PDF	N/A
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic	Unknown	PDF	N/A
Variational Open-Domain Question Answering	Unknown	PDF	N/A
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees	Unknown	PDF	N/A
Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning	Unknown	PDF	N/A
Generalized Teacher Forcing for Learning Chaotic Dynamics	Unknown	PDF	N/A
Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs	Unknown	PDF	N/A
Understanding Self-Distillation in the Presence of Label Noise	Unknown	PDF	N/A
Beyond Uniform Lipschitz Condition in Differentially Private Optimization	Unknown	PDF	N/A
Sequential Underspecified Instrument Selection for Cause-Effect Estimation	Unknown	PDF	N/A
Diffusion Based Representation Learning	Unknown	PDF	N/A
Which Features are Learnt by Contrastive Learning? On the Role of Simplicity Bias in Class Collapse and Feature Suppression	Unknown	PDF	N/A
Coder Reviewer Reranking for Code Generation	Unknown	PDF	N/A
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the Least	Unknown	PDF	N/A
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning	Unknown	PDF	N/A
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning	Unknown	PDF	N/A
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data	Unknown	PDF	N/A
Conformalization of Sparse Generalized Linear Models	Unknown	PDF	N/A
Fast Rates for Maximum Entropy Exploration	Unknown	PDF	N/A
The Unreasonable Effectiveness of Few-shot Learning for Machine Translation	Unknown	PDF	N/A
Scaling Laws for Multilingual Neural Machine Translation	Unknown	PDF	N/A
Secure Federated Correlation Test and Entropy Estimation	Unknown	PDF	N/A
Image generation with shortest path diffusion	Unknown	PDF	N/A
Multiply Robust Off-policy Evaluation and Learning under Truncation by Death	Unknown	PDF	N/A
On Provable Copyright Protection for Generative Models	Unknown	PDF	N/A
Hardness of Independent Learning and Sparse Equilibrium Computation in Markov Games	Unknown	PDF	N/A
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language	Unknown	PDF	N/A
Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting	Unknown	PDF	N/A
Input Perturbation Reduces Exposure Bias in Diffusion Models	Unknown	PDF	N/A
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks	Unknown	PDF	N/A
Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits	Unknown	PDF	N/A
Understanding Backdoor Attacks through the Adaptability Hypothesis	Unknown	PDF	N/A
Learning to Maximize Mutual Information for Dynamic Feature Selection	Unknown	PDF	N/A
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance	Unknown	PDF	N/A
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability	Unknown	PDF	N/A
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling	Unknown	PDF	N/A
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations	Unknown	PDF	N/A
Pretraining Language Models with Human Preferences	Unknown	PDF	N/A
Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting	Unknown	PDF	N/A
NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations	Unknown	PDF	N/A
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning	Unknown	PDF	N/A
Fast Online Value-Maximizing Prediction Sets with Conformal Cost Control	Unknown	PDF	N/A
Unconstrained Online Learning with Unbounded Losses	Unknown	PDF	N/A
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation	Unknown	PDF	N/A
Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback	Unknown	PDF	N/A
Towards Deep Attention in Graph Neural Networks: Problems and Remedies	Unknown	PDF	N/A
Adversarial Parameter Attack on Deep Neural Networks	Unknown	PDF	N/A
Phase Transitions in the Detection of Correlated Databases	Unknown	PDF	N/A
Understanding the Complexity Gains of Single-Task RL with a Curriculum	Unknown	PDF	N/A
When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction	Unknown	PDF	N/A
OCD: Learning to Overfit with Conditional Diffusion Models	Unknown	PDF	N/A
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten	Unknown	PDF	N/A
Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally Coupled Oscillatory Recurrent Neural Networks	Unknown	PDF	N/A
Latent Traversals in Generative Models as Potential Flows	Unknown	PDF	N/A
DUET: 2D Structured and Approximately Equivariant Representations	Unknown	PDF	N/A
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts	Unknown	PDF	N/A
Contextual Reliability: When Different Features Matter in Different Contexts	Unknown	PDF	N/A
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption	Unknown	PDF	N/A
Hierarchical Imitation Learning with Vector Quantized Models	Unknown	PDF	N/A
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies	Unknown	PDF	N/A
Deep linear networks can benignly overfit when shallow ones do	Unknown	PDF	N/A
Policy Evaluation and Temporal-Difference Learning in Continuous Time and Space: A Martingale Approach	Unknown	PDF	N/A
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism	Unknown	PDF	N/A
Data-Derived Weak Universal Consistency	Unknown	PDF	N/A
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks	Unknown	PDF	N/A
Adversarial Classification: Necessary Conditions and Geometric Flows	Unknown	PDF	N/A
On Generalizations of Some Distance Based Classifiers for HDLSS Data	Unknown	PDF	N/A
Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning	Unknown	PDF	N/A
CLUSTSEG: Clustering for Universal Segmentation	Unknown	PDF	N/A
Bi-directional Masks for Efficient N:M Sparse Training	Unknown	PDF	N/A
Composer: Creative and Controllable Image Synthesis with Composable Conditions	Unknown	PDF	N/A
Learning to acquire novel cognitive tasks with evolution, plasticity and meta-meta-learning	Unknown	PDF	N/A
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes	Unknown	PDF	N/A
Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets	Unknown	PDF	N/A
Non-autoregressive Conditional Diffusion Models for Time Series Prediction	Unknown	PDF	N/A
On the Power of Foundation Models	Unknown	PDF	N/A
Neural Diffusion Processes	Unknown	PDF	N/A
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach	Unknown	PDF	N/A
Contrastive Learning Meets Homophily: Two Birds with One Stone	Unknown	PDF	N/A
Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments	Unknown	PDF	N/A
On the Generalization of Multi-modal Contrastive Learning	Unknown	PDF	N/A
Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR	Unknown	PDF	N/A
ContraBAR: Contrastive Bayes-Adaptive Deep RL	Unknown	PDF	N/A
Are Diffusion Models Vulnerable to Membership Inference Attacks?	Unknown	PDF	N/A
Data Representations' Study of Latent Image Manifolds	Unknown	PDF	N/A
Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks?	Unknown	PDF	N/A
Benign Overfitting in Two-layer ReLU Convolutional Neural Networks	Unknown	PDF	N/A
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability	Unknown	PDF	N/A
Second-order regression models exhibit progressive sharpening to the edge of stability	Unknown	PDF	N/A
SAM operates far from home: eigenvalue regularization as a dynamical phenomenon	Unknown	PDF	N/A
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation	Unknown	PDF	N/A
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning	Unknown	PDF	N/A
Guiding Pretraining in Reinforcement Learning with Large Language Models	Unknown	PDF	N/A
A Mathematical Model for Curriculum Learning for Parities	Unknown	PDF	N/A
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees	Unknown	PDF	N/A
Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy	Unknown	PDF	N/A
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation	Unknown	PDF	N/A
NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation	Unknown	PDF	N/A
Learning Representations without Compositional Assumptions	Unknown	PDF	N/A
Fair and Accurate Decision Making through Group-Aware Learning	Unknown	PDF	N/A
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks	Unknown	PDF	N/A
Adversarial Learning of Distributional Reinforcement Learning	Unknown	PDF	N/A
Online Local Differential Private Quantile Inference via Self-normalization	Unknown	PDF	N/A
Horizon-free Learning for Markov Decision Processes and Games: Stochastically Bounded Rewards and Improved Bounds	Unknown	PDF	N/A
Approximate Stein Classes for Truncated Density Estimation	Unknown	PDF	N/A
SinDDM: A Single Image Denoising Diffusion Model	Unknown	PDF	N/A
Robustly Learning a Single Neuron via Sharpness	Unknown	PDF	N/A
Neural Markov Jump Processes	Unknown	PDF	N/A
A Model-Based Method for Minimizing CVaR and Beyond	Unknown	PDF	N/A
Revisiting Structured Variational Autoencoders	Unknown	PDF	N/A
Oracles & Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability	Unknown	PDF	N/A

ICML 2024

Title	Author	PDF	Code URL
Position: Towards Unified Alignment Between Agents, Humans, and Environment	Unknown	PDF	N/A
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching	Unknown	PDF	N/A
Fair Off-Policy Learning from Observational Data	Unknown	PDF	N/A
Consistent Submodular Maximization	Unknown	PDF	N/A
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering	Unknown	PDF	N/A
Automated Statistical Model Discovery with Language Models	Unknown	PDF	N/A
Model-based Reinforcement Learning for Confounded POMDPs	Unknown	PDF	N/A
Position: A Call for Embodied AI	Unknown	PDF	N/A
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference	Unknown	PDF	N/A
WARM: On the Benefits of Weight Averaged Reward Models	Unknown	PDF	N/A
MusicRL: Aligning Music Generation to Human Preferences	Unknown	PDF	N/A
Nash Learning from Human Feedback	Unknown	PDF	N/A
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery	Unknown	PDF	N/A
Kernel-Based Evaluation of Conditional Biological Sequence Models	Unknown	PDF	N/A
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge	Unknown	PDF	N/A
Learning Associative Memories with Gradient Descent	Unknown	PDF	N/A
InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization	Unknown	PDF	N/A
Calibration Bottleneck: Over-compressed Representations are Less Calibratable	Unknown	PDF	N/A
Discovering Environments with XRM	Unknown	PDF	N/A
Batch and match: black-box variational inference with a score-based divergence	Unknown	PDF	N/A
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality	Unknown	PDF	N/A
Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better	Unknown	PDF	N/A
MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts	Unknown	PDF	N/A
Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response	Unknown	PDF	N/A
Stereographic Spherical Sliced Wasserstein Distances	Unknown	PDF	N/A
Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification	Unknown	PDF	N/A
How Learning by Reconstruction Produces Uninformative Features For Perception	Unknown	PDF	N/A
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing	Unknown	PDF	N/A
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference	Unknown	PDF	N/A
Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations	Unknown	PDF	N/A
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design	Unknown	PDF	N/A
Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners	Unknown	PDF	N/A
Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance	Unknown	PDF	N/A
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective	Unknown	PDF	N/A
Active Preference Learning for Large Language Models	Unknown	PDF	N/A
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay	Unknown	PDF	N/A
Variational Partial Group Convolutions for Input-Aware Partial Equivariance of Rotations and Color-Shifts	Unknown	PDF	N/A
Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach	Unknown	PDF	N/A
Position: Why We Must Rethink Empirical Research in Machine Learning	Unknown	PDF	N/A
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning	Unknown	PDF	N/A
Q-value Regularized Transformer for Offline Reinforcement Learning	Unknown	PDF	N/A
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization	Unknown	PDF	N/A
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints	Unknown	PDF	N/A
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation	Unknown	PDF	N/A
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams	Unknown	PDF	N/A
From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation	Unknown	PDF	N/A
Multi-group Learning for Hierarchical Groups	Unknown	PDF	N/A
Fast Decision Boundary based Out-of-Distribution Detector	Unknown	PDF	N/A
Ensemble Pruning for Out-of-distribution Generalization	Unknown	PDF	N/A
Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation	Unknown	PDF	N/A
On the Asymptotic Distribution of the Minimum Empirical Risk	Unknown	PDF	N/A
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback	Unknown	PDF	N/A
Exploiting Code Symmetries for Learning Program Semantics	Unknown	PDF	N/A
Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach	Unknown	PDF	N/A
Encodings for Prediction-based Neural Architecture Search	Unknown	PDF	N/A
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator	Unknown	PDF	N/A
Towards Compositionality in Concept Learning	Unknown	PDF	N/A
A Minimaximalist Approach to Reinforcement Learning from Human Feedback	Unknown	PDF	N/A
Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models	Unknown	PDF	N/A
Image Hijacks: Adversarial Images can Control Generative Models at Runtime	Unknown	PDF	N/A
TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision	Unknown	PDF	N/A
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics	Unknown	PDF	N/A
Behavior Generation with Latent Actions	Unknown	PDF	N/A
Measures of diversity and space-filling designs for categorical data	Unknown	PDF	N/A
Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains	Unknown	PDF	N/A
QuRating: Selecting High-Quality Data for Training Language Models	Unknown	PDF	N/A
On the Maximal Local Disparity of Fairness-Aware Classifiers	Unknown	PDF	N/A
Conditional Common Entropy for Instrumental Variable Testing and Partial Identification	Unknown	PDF	N/A
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization	Unknown	PDF	N/A
Benchmarking Deletion Metrics with the Principled Explanations	Unknown	PDF	N/A
Online Matrix Completion: A Collaborative Approach with Hott Items	Unknown	PDF	N/A
Scaling Laws for Fine-Grained Mixture of Experts	Unknown	PDF	N/A
Benign Overfitting in Adversarial Training of Neural Networks	Unknown	PDF	N/A
Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee	Unknown	PDF	N/A
Sample as you Infer: Predictive Coding with Langevin Dynamics	Unknown	PDF	N/A
NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction	Unknown	PDF	N/A
Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks	Unknown	PDF	N/A
How Language Model Hallucinations Can Snowball	Unknown	PDF	N/A
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference	Unknown	PDF	N/A
Extracting Training Data From Document-Based VQA Models	Unknown	PDF	N/A
MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data	Unknown	PDF	N/A
Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg	Unknown	PDF	N/A
PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling	Unknown	PDF	N/A
Unsupervised Concept Discovery Mitigates Spurious Correlations	Unknown	PDF	N/A
Scalable AI Safety via Doubly-Efficient Debate	Unknown	PDF	N/A
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning	Unknown	PDF	N/A
Model Assessment and Selection under Temporal Distribution Shift	Unknown	PDF	N/A
The Fundamental Limits of Least-Privilege Learning	Unknown	PDF	N/A
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element	Unknown	PDF	N/A
Minimizing $f$-Divergences by Interpolating Velocity Fields	Unknown	PDF	N/A
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models	Unknown	PDF	N/A
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses	Unknown	PDF	N/A
Subgoal-based Demonstration Learning for Formal Theorem Proving	Unknown	PDF	N/A
Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment	Unknown	PDF	N/A
Emergence of In-Context Reinforcement Learning from Noise Distillation	Unknown	PDF	N/A
Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs	Unknown	PDF	N/A
Robust Universal Adversarial Perturbations	Unknown	PDF	N/A
Low-Cost High-Power Membership Inference Attacks	Unknown	PDF	N/A
Towards Modular LLMs by Building and Reusing a Library of LoRAs	Unknown	PDF	N/A
Early Time Classification with Accumulated Accuracy Gap Control	Unknown	PDF	N/A
Evaluating Instrument Validity using the Principle of Independent Mechanisms	Unknown	PDF	N/A
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding	Unknown	PDF	N/A
CogBench: a large language model walks into a psychology lab	Unknown	PDF	N/A
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks	Unknown	PDF	N/A
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy	Unknown	PDF	N/A
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data	Unknown	PDF	N/A
Optimally Improving Cooperative Learning in a Social Setting	Unknown	PDF	N/A
$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts	Unknown	PDF	N/A
Simple linear attention language models balance the recall-throughput tradeoff	Unknown	PDF	N/A
Principled Preferential Bayesian Optimization	Unknown	PDF	N/A
SiT: Symmetry-invariant Transformers for Generalisation in Reinforcement Learning	Unknown	PDF	N/A
On Positivity Condition for Causal Inference	Unknown	PDF	N/A
Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference	Unknown	PDF	N/A
Linguistic Calibration of Long-Form Generations	Unknown	PDF	N/A
A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples	Unknown	PDF	N/A
Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices	Unknown	PDF	N/A
The Expressive Power of Path-Based Graph Neural Networks	Unknown	PDF	N/A
Scalable High-Resolution Pixel-Space Image Synthesis with Hourglass Diffusion Transformers	Unknown	PDF	N/A
Environment Design for Inverse Reinforcement Learning	Unknown	PDF	N/A
Stable Differentiable Causal Discovery	Unknown	PDF	N/A
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error	Unknown	PDF	N/A
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective	Unknown	PDF	N/A
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning	Unknown	PDF	N/A
A Tale of Tails: Model Collapse as a Change of Scaling Laws	Unknown	PDF	N/A
Adversarial Attacks on Combinatorial Multi-Armed Bandits	Unknown	PDF	N/A
Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory	Unknown	PDF	N/A
A Dynamic Algorithm for Weighted Submodular Cover Problem	Unknown	PDF	N/A
On The Fairness Impacts of Hardware Selection in Machine Learning	Unknown	PDF	N/A
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning	Unknown	PDF	N/A
Graph Attention Retrospective	Unknown	PDF	N/A
A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity	Unknown	PDF	N/A
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble	Unknown	PDF	N/A
Parameterized Physics-informed Neural Networks for Parameterized PDEs	Unknown	PDF	N/A
Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization	Unknown	PDF	N/A
Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants	Unknown	PDF	N/A
TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression	Unknown	PDF	N/A
Challenges in Training PINNs: A Loss Landscape Perspective	Unknown	PDF	N/A
High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise	Unknown	PDF	N/A
Position: The Causal Revolution Needs Scientific Pragmatism	Unknown	PDF	N/A
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds	Unknown	PDF	N/A
RankSEG: A Consistent Ranking-based Framework for Segmentation	Unknown	PDF	N/A
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency	Unknown	PDF	N/A
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models	Unknown	PDF	N/A
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms	Unknown	PDF	N/A
Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation	Unknown	PDF	N/A
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)	Unknown	PDF	N/A
Learning to Continually Learn with the Bayesian Principle	Unknown	PDF	N/A
Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data	Unknown	PDF	N/A
Repoformer: Selective Retrieval for Repository-Level Code Completion	Unknown	PDF	N/A
Zero-Sum Positional Differential Games as a Framework for Robust Reinforcement Learning: Deep Q-Learning Approach	Unknown	PDF	N/A
On the Generalization of Stochastic Gradient Descent with Momentum	Unknown	PDF	N/A
Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent	Unknown	PDF	N/A
A Geometric Explanation of the Likelihood OOD Detection Paradox	Unknown	PDF	N/A
Leveraging Attractor Dynamics in Spatial Navigation for Better Language Parsing	Unknown	PDF	N/A
Disparate Impact on Group Accuracy of Linearization for Private Inference	Unknown	PDF	N/A
SqueezeLLM: Dense-and-Sparse Quantization	Unknown	PDF	N/A
Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization	Unknown	PDF	N/A
An LLM Compiler for Parallel Function Calling	Unknown	PDF	N/A
Unbiased Multi-Label Learning from Crowdsourced Annotations	Unknown	PDF	N/A
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals	Unknown	PDF	N/A
Position: Evolving AI Collectives Enhance Human Diversity and Enable Self-Regulation	Unknown	PDF	N/A
Revisiting Context Aggregation for Image Matting	Unknown	PDF	N/A
Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring	Unknown	PDF	N/A
Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary	Unknown	PDF	N/A
Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI	Unknown	PDF	N/A
Infinite-Horizon Distributionally Robust Regret-Optimal Control	Unknown	PDF	N/A
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers	Unknown	PDF	N/A
Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach	Unknown	PDF	N/A
Simplicity Bias via Global Convergence of Sharpness Minimization	Unknown	PDF	N/A
Why Do You Grok? A Theoretical Analysis on Grokking Modular Addition	Unknown	PDF	N/A
An Intrinsic Vector Heat Network	Unknown	PDF	N/A
Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning	Unknown	PDF	N/A
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model	Unknown	PDF	N/A
Neural-Kernel Conditional Mean Embeddings	Unknown	PDF	N/A
Stochastic Quantum Sampling for Non-Logconcave Distributions and Estimating Partition Functions	Unknown	PDF	N/A
Enabling Uncertainty Estimation in Iterative Neural Networks	Unknown	PDF	N/A
MultiMax: Sparse and Multi-Modal Attention Learning	Unknown	PDF	N/A
Improving Neural Additive Models with Bayesian Principles	Unknown	PDF	N/A
Averaging $n$-step Returns Reduces Variance in Reinforcement Learning	Unknown	PDF	N/A
Implicit meta-learning may lead language models to trust more reliable sources	Unknown	PDF	N/A
Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing	Unknown	PDF	N/A
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning	Unknown	PDF	N/A
Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restoration	Unknown	PDF	N/A
Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE	Unknown	PDF	N/A
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations	Unknown	PDF	N/A
Total Variation Distance Meets Probabilistic Inference	Unknown	PDF	N/A
Improving Adversarial Energy-Based Model via Diffusion Process	Unknown	PDF	N/A
A3S: A General Active Clustering Method with Pairwise Constraints	Unknown	PDF	N/A
An Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization	Unknown	PDF	N/A
Learning a Diffusion Model Policy from Rewards via Q-Score Matching	Unknown	PDF	N/A
Online Cascade Learning for Efficient Inference over Streams	Unknown	PDF	N/A
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning	Unknown	PDF	N/A
Learning from Streaming Data when Users Choose	Unknown	PDF	N/A
Scaling Speech Technology to 1,000+ Languages	Unknown	PDF	N/A
Robustness of Nonlinear Representation Learning	Unknown	PDF	N/A
Conformal Prediction with Learned Features	Unknown	PDF	N/A
Symmetry Induces Structure and Constraint of Learning	Unknown	PDF	N/A
Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling	Unknown	PDF	N/A
T-Cal: An Optimal Test for the Calibration of Predictive Models	Unknown	PDF	N/A
Watermark Stealing in Large Language Models	Unknown	PDF	N/A
Prior Specification for Bayesian Matrix Factorization via Prior Predictive Matching	Unknown	PDF	N/A
Fair Data Representation for Machine Learning at the Pareto Frontier	Unknown	PDF	N/A
A Dynamical Model of Neural Scaling Laws	Unknown	PDF	N/A
Adaptive Learning of Density Ratios in RKHS	Unknown	PDF	N/A
Adaptively Perturbed Mirror Descent for Learning in Games	Unknown	PDF	N/A
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning	Unknown	PDF	N/A
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers	Unknown	PDF	N/A
FrameQuant: Flexible Low-Bit Quantization for Transformers	Unknown	PDF	N/A
BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images	Unknown	PDF	N/A
Optimal Coresets for Low-Dimensional Geometric Median	Unknown	PDF	N/A
Learning to Play Atari in a World of Tokens	Unknown	PDF	N/A
Probabilistic Generating Circuits - Demystified	Unknown	PDF	N/A
The Non-linear $F$-Design and Applications to Interactive Learning	Unknown	PDF	N/A
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions	Unknown	PDF	N/A
Distinguishing the Knowable from the Unknowable with Language Models	Unknown	PDF	N/A
How to Escape Sharp Minima with Random Perturbations	Unknown	PDF	N/A
Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise	Unknown	PDF	N/A
Not all distributional shifts are equal: Fine-grained robust conformal inference	Unknown	PDF	N/A
Triple Changes Estimator for Targeted Policies	Unknown	PDF	N/A
Learning Mixtures of Gaussian Processes through Random Projection	Unknown	PDF	N/A
Nonlinear Filtering with Brenier Optimal Transport Maps	Unknown	PDF	N/A
Revisiting Inexact Fixed-Point Iterations for Min-Max Problems: Stochasticity and Structured Nonconvexity	Unknown	PDF	N/A
Gaussian Processes on Cellular Complexes	Unknown	PDF	N/A
No Dimensional Sampling Coresets for Classification	Unknown	PDF	N/A
Physics of Language Models: Part 3.1, Knowledge Storage and Extraction	Unknown	PDF	N/A
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates	Unknown	PDF	N/A
The Privacy Power of Correlated Noise in Decentralized Learning	Unknown	PDF	N/A
Robust and Conjugate Gaussian Process Regression	Unknown	PDF	N/A
Position: Stop Making Unscientific AGI Performance Claims	Unknown	PDF	N/A
Hyperbolic Optimizer as a Dynamical System	Unknown	PDF	N/A
Stationarity without mean reversion in improper Gaussian processes	Unknown	PDF	N/A
Robust Graph Matching when Nodes are Corrupt	Unknown	PDF	N/A
Fast Algorithms for Hypergraph PageRank with Applications to Semi-Supervised Learning	Unknown	PDF	N/A
Scalable Online Exploration via Coverability	Unknown	PDF	N/A
Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing	Unknown	PDF	N/A
Online conformal prediction with decaying step sizes	Unknown	PDF	N/A
A Rate-Distortion View of Uncertainty Quantification	Unknown	PDF	N/A
Practical Performance Guarantees for Pipelined DNN Inference	Unknown	PDF	N/A
Causal Action Influence Aware Counterfactual Data Augmentation	Unknown	PDF	N/A
An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation	Unknown	PDF	N/A
Learning the Target Network in Function Space	Unknown	PDF	N/A
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages	Unknown	PDF	N/A
Delaunay Graph: Addressing Over-Squashing and Over-Smoothing Using Delaunay Triangulation	Unknown	PDF	N/A
How Free is Parameter-Free Stochastic Optimization?	Unknown	PDF	N/A
Random features models: a way to study the success of naive imputation	Unknown	PDF	N/A
Bipartite Matching in Massive Graphs: A Tight Analysis of EDCS	Unknown	PDF	N/A
Simulation of Graph Algorithms with Looped Transformers	Unknown	PDF	N/A
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance	Unknown	PDF	N/A
On the Complexity of Finite-Sum Smooth Optimization under the Polyak–Łojasiewicz Condition	Unknown	PDF	N/A
Constrained Ensemble Exploration for Unsupervised Skill Discovery	Unknown	PDF	N/A
Memory Consolidation Enables Long-Context Video Understanding	Unknown	PDF	N/A
On the Identifiability of Switching Dynamical Systems	Unknown	PDF	N/A
Analyzing $D^\alpha$ seeding for $k$-means	Unknown	PDF	N/A
Relational DNN Verification With Cross Executional Bound Refinement	Unknown	PDF	N/A
VNN: Verification-Friendly Neural Networks with Hard Robustness Guarantees	Unknown	PDF	N/A
Scale-Free Image Keypoints Using Differentiable Persistent Homology	Unknown	PDF	N/A
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies	Unknown	PDF	N/A
Neural Diffusion Models	Unknown	PDF	N/A
Generalization in Kernel Regression Under Realistic Assumptions	Unknown	PDF	N/A
On Mechanistic Knowledge Localization in Text-to-Image Generative Models	Unknown	PDF	N/A
Monotone Individual Fairness	Unknown	PDF	N/A
Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions	Unknown	PDF	N/A
Standardized Interpretable Fairness Measures for Continuous Risk Scores	Unknown	PDF	N/A
Neural Networks Learn Statistics of Increasing Complexity	Unknown	PDF	N/A
The Role of Learning Algorithms in Collective Action	Unknown	PDF	N/A
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations	Unknown	PDF	N/A
By Tying Embeddings You Are Assuming the Distributional Hypothesis	Unknown	PDF	N/A
Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Refining Minimax Regret for Unsupervised Environment Design	Unknown	PDF	N/A
Guiding LLMs The Right Way: Fast, Non-Invasive Constrained Generation	Unknown	PDF	N/A
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features	Unknown	PDF	N/A
Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation	Unknown	PDF	N/A
Why do Variational Autoencoders Really Promote Disentanglement?	Unknown	PDF	N/A
Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization	Unknown	PDF	N/A
Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning	Unknown	PDF	N/A
Naive Bayes Classifiers over Missing Data: Decision and Poisoning	Unknown	PDF	N/A
Improving fine-grained understanding in image-text pre-training	Unknown	PDF	N/A
Position: Explain to Question not to Justify	Unknown	PDF	N/A
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering	Unknown	PDF	N/A
Stability Evaluation through Distributional Perturbation Analysis	Unknown	PDF	N/A
Dynamic Survival Analysis with Controlled Latent States	Unknown	PDF	N/A
Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for Sampling	Unknown	PDF	N/A
Shifted Interpolation for Differential Privacy	Unknown	PDF	N/A
How Spurious Features are Memorized: Precise Analysis for Random and NTK Features	Unknown	PDF	N/A
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features	Unknown	PDF	N/A
Position: Machine Learning-powered Assessments of the EU Digital Services Act Aid Quantify Policy Impacts on Online Harms	Unknown	PDF	N/A
Random matrix theory improved Fréchet mean of symmetric positive definite matrices	Unknown	PDF	N/A
On dimensionality of feature vectors in MPNNs	Unknown	PDF	N/A
Fully-Dynamic Approximate Decision Trees With Worst-Case Update Time Guarantees	Unknown	PDF	N/A
Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula	Unknown	PDF	N/A
Private Gradient Descent for Linear Regression: Tighter Error Bounds and Instance-Specific Uncertainty Estimation	Unknown	PDF	N/A
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples	Unknown	PDF	N/A
Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More	Unknown	PDF	N/A
Differentially Private Bias-Term Fine-tuning of Foundation Models	Unknown	PDF	N/A
Langevin Policy for Safe Reinforcement Learning	Unknown	PDF	N/A
Semantically-correlated memories in a dense associative model	Unknown	PDF	N/A
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers	Unknown	PDF	N/A
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads	Unknown	PDF	N/A
Enhancing Cross-Modal Fine-Tuning with Gradually Intermediate Modality Generation	Unknown	PDF	N/A
Accelerated Algorithms for Constrained Nonconvex-Nonconcave Min-Max Optimization and Comonotone Inclusion	Unknown	PDF	N/A
Sample-specific Masks for Visual Reprogramming-based Prompting	Unknown	PDF	N/A
Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design	Unknown	PDF	N/A
Successor Features for Efficient Multi-Subject Controlled Text Generation	Unknown	PDF	N/A
Limited Preference Aided Imitation Learning from Imperfect Demonstrations	Unknown	PDF	N/A
Predictive Dynamic Fusion	Unknown	PDF	N/A
Can a Few Decide for Many? The Metric Distortion of Sortition	Unknown	PDF	N/A
AI Alignment with Changing and Influenceable Reward Functions	Unknown	PDF	N/A
Online Learning under Budget and ROI Constraints via Weak Adaptivity	Unknown	PDF	N/A
On the Implicit Bias of Adam	Unknown	PDF	N/A
Feasibility Consistent Representation Learning for Safe Reinforcement Learning	Unknown	PDF	N/A
Simple Ingredients for Offline Reinforcement Learning	Unknown	PDF	N/A
Auditing Private Prediction	Unknown	PDF	N/A
Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation	Unknown	PDF	N/A
Feature Importance Disparities for Data Bias Investigations	Unknown	PDF	N/A
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting	Unknown	PDF	N/A
MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion	Unknown	PDF	N/A
How Interpretable Are Interpretable Graph Neural Networks?	Unknown	PDF	N/A
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning	Unknown	PDF	N/A
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation	Unknown	PDF	N/A
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models	Unknown	PDF	N/A
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective	Unknown	PDF	N/A
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models	Unknown	PDF	N/A
Robust Classification via a Single Diffusion Model	Unknown	PDF	N/A
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective	Unknown	PDF	N/A
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components	Unknown	PDF	N/A
RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content	Unknown	PDF	N/A
Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes	Unknown	PDF	N/A
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding	Unknown	PDF	N/A
Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise	Unknown	PDF	N/A
Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces	Unknown	PDF	N/A
Improved Communication-Privacy Trade-offs in $L_2$ Mean Estimation under Streaming Differential Privacy	Unknown	PDF	N/A
Offline Transition Modeling via Contrastive Energy Learning	Unknown	PDF	N/A
Efficient Pareto Manifold Learning with Low-Rank Structure	Unknown	PDF	N/A
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank	Unknown	PDF	N/A
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization	Unknown	PDF	N/A
DiJiang: Efficient Large Language Models through Compact Kernelization	Unknown	PDF	N/A
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism	Unknown	PDF	N/A
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models	Unknown	PDF	N/A
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process	Unknown	PDF	N/A
GRATH: Gradual Self-Truthifying for Large Language Models	Unknown	PDF	N/A
Performative Prediction with Bandit Feedback: Learning through Reparameterization	Unknown	PDF	N/A
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes	Unknown	PDF	N/A
Recovering Labels from Local Updates in Federated Learning	Unknown	PDF	N/A
Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy	Unknown	PDF	N/A
Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments	Unknown	PDF	N/A
A General Framework for Learning from Weak Supervision	Unknown	PDF	N/A
Diffusion Model-Augmented Behavioral Cloning	Unknown	PDF	N/A
Positional Knowledge is All You Need: Position-induced Transformer (PiT) for Operator Learning	Unknown	PDF	N/A
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation	Unknown	PDF	N/A
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting	Unknown	PDF	N/A
DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images	Unknown	PDF	N/A
FedMBridge: Bridgeable Multimodal Federated Learning	Unknown	PDF	N/A
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness	Unknown	PDF	N/A
Diffusive Gibbs Sampling	Unknown	PDF	N/A
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation	Unknown	PDF	N/A
LLaGA: Large Language and Graph Assistant	Unknown	PDF	N/A
Compact Optimality Verification for Optimization Proxies	Unknown	PDF	N/A
Enhancing Implicit Shape Generators Using Topological Regularizations	Unknown	PDF	N/A
Stacking Deep Set Networks and Pooling by Quantiles	Unknown	PDF	N/A
What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks	Unknown	PDF	N/A
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks	Unknown	PDF	N/A
GaussianPro: 3D Gaussian Splatting with Progressive Propagation	Unknown	PDF	N/A
RICE: Breaking Through the Training Bottlenecks of Reinforcement Learning with Explanation	Unknown	PDF	N/A
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences	Unknown	PDF	N/A
Kernel Semi-Implicit Variational Inference	Unknown	PDF	N/A
Creative Text-to-Audio Generation via Synthesizer Programming	Unknown	PDF	N/A
Leveraging (Biased) Information: Multi-armed Bandits with Offline Data	Unknown	PDF	N/A
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning	Unknown	PDF	N/A
MS-TIP: Imputation Aware Pedestrian Trajectory Prediction	Unknown	PDF	N/A
Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction	Unknown	PDF	N/A
How Flawed Is ECE? An Analysis via Logit Smoothing	Unknown	PDF	N/A
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters	Unknown	PDF	N/A
Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling	Unknown	PDF	N/A
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation	Unknown	PDF	N/A
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization	Unknown	PDF	N/A
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport	Unknown	PDF	N/A
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning	Unknown	PDF	N/A
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning	Unknown	PDF	N/A
Online bipartite matching with imperfect advice	Unknown	PDF	N/A
A connection between Tempering and Entropic Mirror Descent	Unknown	PDF	N/A
A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts	Unknown	PDF	N/A
How Private are DP-SGD Implementations?	Unknown	PDF	N/A
Prompt-tuning Latent Diffusion Models for Inverse Problems	Unknown	PDF	N/A
Studying K-FAC Heuristics by Viewing Adam through a Second-Order Lens	Unknown	PDF	N/A
$\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual bandits	Unknown	PDF	N/A
Improving Token-Based World Models with Parallel Observation Prediction	Unknown	PDF	N/A
Multi-View Stochastic Block Models	Unknown	PDF	N/A
Weighted distance nearest neighbor condensing	Unknown	PDF	N/A
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering	Unknown	PDF	N/A
Dynamic Correlation Clustering in Sublinear Update Time	Unknown	PDF	N/A
A2Q+: Improving Accumulator-Aware Weight Quantization	Unknown	PDF	N/A
Statistical Inference Under Constrained Selection Bias	Unknown	PDF	N/A
Conformal Prediction Sets Improve Human Decision Making	Unknown	PDF	N/A
Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis	Unknown	PDF	N/A
Harmonizing Generalization and Personalization in Federated Prompt Learning	Unknown	PDF	N/A
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback	Unknown	PDF	N/A
Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis	Unknown	PDF	N/A
Multi-View Clustering by Inter-cluster Connectivity Guided Reward	Unknown	PDF	N/A
High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion	Unknown	PDF	N/A
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation	Unknown	PDF	N/A
Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model	Unknown	PDF	N/A
Boosting Offline Optimizers with Surrogate Sensitivity	Unknown	PDF	N/A
Test-Time Degradation Adaptation for Open-Set Image Restoration	Unknown	PDF	N/A
A decoder-only foundation model for time-series forecasting	Unknown	PDF	N/A
New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering	Unknown	PDF	N/A
Geometric Active Exploration in Markov Decision Processes: the Benefit of Abstraction	Unknown	PDF	N/A
Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods	Unknown	PDF	N/A
Provably Better Explanations with Optimized Aggregation of Feature Attributions	Unknown	PDF	N/A
Learning Cognitive Maps from Transformer Representations for Efficient Planning in Partially Observed Environments	Unknown	PDF	N/A
Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing	Unknown	PDF	N/A
Predicting Lagrangian Multipliers for Mixed Integer Linear Programs	Unknown	PDF	N/A
Prediction-powered Generalization of Causal Inferences	Unknown	PDF	N/A
An Unsupervised Approach for Periodic Source Detection in Time Series	Unknown	PDF	N/A
Collaborative Learning with Different Labeling Functions	Unknown	PDF	N/A
Exploring the Low-Pass Filtering Behavior in Image Super-Resolution	Unknown	PDF	N/A
Network Tight Community Detection	Unknown	PDF	N/A
Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations	Unknown	PDF	N/A
Multicalibration for Confidence Scoring in LLMs	Unknown	PDF	N/A
Contextualized Policy Recovery: Modeling and Interpreting Medical Decisions with Adaptive Imitation Learning	Unknown	PDF	N/A
Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies	Unknown	PDF	N/A
Trust Regions for Explanations via Black-Box Probabilistic Certification	Unknown	PDF	N/A
Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods	Unknown	PDF	N/A
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient	Unknown	PDF	N/A
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination	Unknown	PDF	N/A
Fast Co-Training under Weak Dependence via Stream-Based Active Learning	Unknown	PDF	N/A
Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning	Unknown	PDF	N/A
Efficient Algorithms for Sum-Of-Minimum Optimization	Unknown	PDF	N/A
Robust Stable Spiking Neural Networks	Unknown	PDF	N/A
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization	Unknown	PDF	N/A
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens	Unknown	PDF	N/A
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds	Unknown	PDF	N/A
Consistent Adversarially Robust Linear Classification: Non-Parametric Setting	Unknown	PDF	N/A
Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms	Unknown	PDF	N/A
Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions	Unknown	PDF	N/A
Impact of Decentralized Learning on Player Utilities in Stackelberg Games	Unknown	PDF	N/A
Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective	Unknown	PDF	N/A
Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models	Unknown	PDF	N/A
Position: Building Guardrails for Large Language Models Requires Systematic Design	Unknown	PDF	N/A
Accelerating PDE Data Generation via Differential Operator Action in Solution Space	Unknown	PDF	N/A
TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling	Unknown	PDF	N/A
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference	Unknown	PDF	N/A
Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent	Unknown	PDF	N/A
Spike Distance Function as a Learning Objective for Spike Prediction	Unknown	PDF	N/A
On the Universality of Volume-Preserving and Coupling-Based Normalizing Flows	Unknown	PDF	N/A
WorkArena: How Capable are Web Agents at Solving Common Knowledge Work Tasks?	Unknown	PDF	N/A
Principled Gradient-Based MCMC for Conditional Sampling of Text	Unknown	PDF	N/A
Position: Compositional Generative Modeling: A Single Model is Not All You Need	Unknown	PDF	N/A
Improving Factuality and Reasoning in Language Models through Multiagent Debate	Unknown	PDF	N/A
Learning Iterative Reasoning through Energy Diffusion	Unknown	PDF	N/A
When and How Does In-Distribution Label Help Out-of-Distribution Detection?	Unknown	PDF	N/A
AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls	Unknown	PDF	N/A
MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving	Unknown	PDF	N/A
MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series	Unknown	PDF	N/A
DE-COP: Detecting Copyrighted Content in Language Models Training Data	Unknown	PDF	N/A
Unveiling the Potential of AI for Nanomaterial Morphology Prediction	Unknown	PDF	N/A
Sharpness-Aware Data Generation for Zero-shot Quantization	Unknown	PDF	N/A
Making Old Things New: A Unified Algorithm for Differentially Private Clustering	Unknown	PDF	N/A
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation	Unknown	PDF	N/A
Outlier-robust Kalman Filtering through Generalised Bayes	Unknown	PDF	N/A
Barrier Algorithms for Constrained Non-Convex Optimization	Unknown	PDF	N/A
Equivariant Frames and the Impossibility of Continuous Canonicalization	Unknown	PDF	N/A
Position: Insights from Survey Methodology can Improve Training Data	Unknown	PDF	N/A
Efficient Error Certification for Physics-Informed Neural Networks	Unknown	PDF	N/A
Scalable Pre-training of Large Autoregressive Image Models	Unknown	PDF	N/A
TSLANet: Rethinking Transformers for Time Series Representation Learning	Unknown	PDF	N/A
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning	Unknown	PDF	N/A
Approximate Nearest Neighbor Search with Window Filters	Unknown	PDF	N/A
DsDm: Model-Aware Dataset Selection with Datamodels	Unknown	PDF	N/A
Compositional Curvature Bounds for Deep Neural Networks	Unknown	PDF	N/A
PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models	Unknown	PDF	N/A
Model Alignment as Prospect Theoretic Optimization	Unknown	PDF	N/A
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift	Unknown	PDF	N/A
Revisit the Essence of Distilling Knowledge through Calibration	Unknown	PDF	N/A
DOGE: Domain Reweighting with Generalization Estimation	Unknown	PDF	N/A
Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification	Unknown	PDF	N/A
Exploring Correlations of Self-Supervised Tasks for Graphs	Unknown	PDF	N/A
INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer	Unknown	PDF	N/A
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL	Unknown	PDF	N/A
From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks	Unknown	PDF	N/A
Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition	Unknown	PDF	N/A
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree	Unknown	PDF	N/A
Fast White-Box Adversarial Streaming Without a Random Oracle	Unknown	PDF	N/A
DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection	Unknown	PDF	N/A
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs	Unknown	PDF	N/A
UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning	Unknown	PDF	N/A
Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates	Unknown	PDF	N/A
Privacy Backdoors: Stealing Data with Corrupted Pretrained Models	Unknown	PDF	N/A
Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games	Unknown	PDF	N/A
Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast	Unknown	PDF	N/A
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases	Unknown	PDF	N/A
Critical feature learning in deep neural networks	Unknown	PDF	N/A
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields	Unknown	PDF	N/A
Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects	Unknown	PDF	N/A
Explaining Probabilistic Models with Distributional Values	Unknown	PDF	N/A
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift	Unknown	PDF	N/A
Weisfeiler-Leman at the margin: When more expressivity matters	Unknown	PDF	N/A
Unsupervised Zero-Shot Reinforcement Learning via Functional Reward Encodings	Unknown	PDF	N/A
Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption	Unknown	PDF	N/A
Trustworthy Actionable Perturbations	Unknown	PDF	N/A
Interpretability Illusions in the Generalization of Simplified Models	Unknown	PDF	N/A
Hyperbolic Geometric Latent Diffusion Model for Graph Generation	Unknown	PDF	N/A
Language-guided Skill Learning with Temporal Variational Inference	Unknown	PDF	N/A
PinNet: Pinpoint Instructive Information for Retrieval Augmented Code-to-Text Generation	Unknown	PDF	N/A
Towards Theoretical Understandings of Self-Consuming Generative Models	Unknown	PDF	N/A
Positive Concave Deep Equilibrium Models	Unknown	PDF	N/A
Let Go of Your Labels with Unsupervised Transfer	Unknown	PDF	N/A
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning	Unknown	PDF	N/A
Reflective Policy Optimization	Unknown	PDF	N/A
Testing the Feasibility of Linear Programs with Bandit Feedback	Unknown	PDF	N/A
A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization	Unknown	PDF	N/A
Stochastic Weakly Convex Optimization beyond Lipschitz Continuity	Unknown	PDF	N/A
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer	Unknown	PDF	N/A
Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy	Unknown	PDF	N/A
DMTG: One-Shot Differentiable Multi-Task Grouping	Unknown	PDF	N/A
Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion	Unknown	PDF	N/A
Non-convex Stochastic Composite Optimization with Polyak Momentum	Unknown	PDF	N/A
Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations	Unknown	PDF	N/A
Decoupling Learning and Decision-Making: Breaking the $\mathcal{O}(\sqrt{T})$ Barrier in Online Resource Allocation with First-Order Methods	Unknown	PDF	N/A
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform	Unknown	PDF	N/A
Fast-Slow Test-Time Adaptation for Online Vision-and-Language Navigation	Unknown	PDF	N/A
Causal Customer Churn Analysis with Low-rank Tensor Block Hazard Model	Unknown	PDF	N/A
Projection-Free Online Convex Optimization with Time-Varying Constraints	Unknown	PDF	N/A
LLark: A Multimodal Instruction-Following Language Model for Music	Unknown	PDF	N/A
Position: Categorical Deep Learning is an Algebraic Theory of All Architectures	Unknown	PDF	N/A
Safe and Robust Subgame Exploitation in Imperfect Information Games	Unknown	PDF	N/A
Don't trust your eyes: on the (un)reliability of feature visualizations	Unknown	PDF	N/A
Learning with 3D rotations, a hitchhiker's guide to SO(3)	Unknown	PDF	N/A
Graph-Triggered Rising Bandits	Unknown	PDF	N/A
Reinforcement Learning within Tree Search for Fast Macro Placement	Unknown	PDF	N/A
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models	Unknown	PDF	N/A
Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization	Unknown	PDF	N/A
State-Constrained Zero-Sum Differential Games with One-Sided Information	Unknown	PDF	N/A
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms	Unknown	PDF	N/A
Optimal Eye Surgeon: Finding image priors through sparse generators at initialization	Unknown	PDF	N/A
Self-Correcting Self-Consuming Loops for Generative Model Training	Unknown	PDF	N/A
Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning	Unknown	PDF	N/A
CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling	Unknown	PDF	N/A
Does Label Smoothing Help Deep Partial Label Learning?	Unknown	PDF	N/A
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding	Unknown	PDF	N/A
Evolution-Inspired Loss Functions for Protein Representation Learning	Unknown	PDF	N/A
Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks	Unknown	PDF	N/A
E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation	Unknown	PDF	N/A
Long Range Propagation on Continuous-Time Dynamic Graphs	Unknown	PDF	N/A
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates	Unknown	PDF	N/A
Fine-grained Classes and How to Find Them	Unknown	PDF	N/A
AI Control: Improving Safety Despite Intentional Subversion	Unknown	PDF	N/A
Scaling Down Deep Learning with MNIST-1D	Unknown	PDF	N/A
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models	Unknown	PDF	N/A
EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization	Unknown	PDF	N/A
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution	Unknown	PDF	N/A
Predictive Performance Comparison of Decision Policies Under Confounding	Unknown	PDF	N/A
On the Diminishing Returns of Width for Continual Learning	Unknown	PDF	N/A
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam Generation	Unknown	PDF	N/A
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning	Unknown	PDF	N/A
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis	Unknown	PDF	N/A
ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation	Unknown	PDF	N/A
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering	Unknown	PDF	N/A
Compressing Large Language Models by Joint Sparsification and Quantization	Unknown	PDF	N/A
Automated Loss function Search for Class-imbalanced Node Classification	Unknown	PDF	N/A
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning	Unknown	PDF	N/A
GistScore: Learning Better Representations for In-Context Example Selection with Gist Bottlenecks	Unknown	PDF	N/A
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations	Unknown	PDF	N/A
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models	Unknown	PDF	N/A
Pursuing Overall Welfare in Federated Learning through Sequential Decision Making	Unknown	PDF	N/A
Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming	Unknown	PDF	N/A
Riemannian coordinate descent algorithms on matrix manifolds	Unknown	PDF	N/A
Prototypical Transformer As Unified Motion Learners	Unknown	PDF	N/A
SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting	Unknown	PDF	N/A
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning	Unknown	PDF	N/A
Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning	Unknown	PDF	N/A
Data-efficient Large Vision Models through Sequential Autoregression	Unknown	PDF	N/A
MGit: A Model Versioning and Management System	Unknown	PDF	N/A
DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training	Unknown	PDF	N/A
Convergence Guarantees for the DeepWalk Embedding on Block Models	Unknown	PDF	N/A
Estimating the Permanent by Nesting Importance Sampling	Unknown	PDF	N/A
Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction	Unknown	PDF	N/A
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer	Unknown	PDF	N/A
GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements	Unknown	PDF	N/A
MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation	Unknown	PDF	N/A
LoRA+: Efficient Low Rank Adaptation of Large Models	Unknown	PDF	N/A
Deep Neural Room Acoustics Primitive	Unknown	PDF	N/A
Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation	Unknown	PDF	N/A
ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation	Unknown	PDF	N/A
Domain-wise Data Acquisition to Improve Performance under Distribution Shift	Unknown	PDF	N/A
Quantum Algorithm for Online Exp-concave Optimization	Unknown	PDF	N/A
Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity	Unknown	PDF	N/A
Ambiguity-Aware Abductive Learning	Unknown	PDF	N/A
Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning	Unknown	PDF	N/A
Robust Multi-Task Learning with Excess Risks	Unknown	PDF	N/A
DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems	Unknown	PDF	N/A
Learning Useful Representations of Recurrent Neural Network Weight Matrices	Unknown	PDF	N/A
Randomized Confidence Bounds for Stochastic Partial Monitoring	Unknown	PDF	N/A
Understanding Diffusion Models by Feynman's Path Integral	Unknown	PDF	N/A
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching	Unknown	PDF	N/A
Estimating Unknown Population Sizes Using the Hypergeometric Distribution	Unknown	PDF	N/A
Two Tales of Single-Phase Contrastive Hebbian Learning	Unknown	PDF	N/A
Verifying message-passing neural networks via topology-based bounds tightening	Unknown	PDF	N/A
Criterion Collapse and Loss Distribution Control	Unknown	PDF	N/A
Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation	Unknown	PDF	N/A
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression	Unknown	PDF	N/A
Enhancing Sufficient Dimension Reduction via Hellinger Correlation	Unknown	PDF	N/A
A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs	Unknown	PDF	N/A
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates	Unknown	PDF	N/A
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance	Unknown	PDF	N/A
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition	Unknown	PDF	N/A
Equilibrium of Data Markets with Externality	Unknown	PDF	N/A
Multi-Sender Persuasion: A Computational Perspective	Unknown	PDF	N/A
IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency	Unknown	PDF	N/A
PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs	Unknown	PDF	N/A
Loss Shaping Constraints for Long-Term Time Series Forecasting	Unknown	PDF	N/A
Careful with that Scalpel: Improving Gradient Surgery with an EMA	Unknown	PDF	N/A
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning	Unknown	PDF	N/A
Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning	Unknown	PDF	N/A
An Information Theoretic Approach to Interaction-Grounded Learning	Unknown	PDF	N/A
SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code	Unknown	PDF	N/A
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation	Unknown	PDF	N/A
Improving Interpretation Faithfulness for Vision Transformers	Unknown	PDF	N/A
Multigroup Robustness	Unknown	PDF	N/A
Provable Privacy with Non-Private Pre-Processing	Unknown	PDF	N/A
Case-Based or Rule-Based: How Do Transformers Do the Math?	Unknown	PDF	N/A
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications	Unknown	PDF	N/A
High-Performance Temporal Reversible Spiking Neural Networks with $\mathcal{O}(L)$ Training Memory and $\mathcal{O}(1)$ Inference Cost	Unknown	PDF	N/A
Accelerating Transformer Pre-training with 2:4 Sparsity	Unknown	PDF	N/A
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks	Unknown	PDF	N/A
ReconBoost: Boosting Can Achieve Modality Reconcilement	Unknown	PDF	N/A
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games	Unknown	PDF	N/A
In-context Convergence of Transformers	Unknown	PDF	N/A
Near-Linear Time Approximation Algorithms for k-means with Outliers	Unknown	PDF	N/A
Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion	Unknown	PDF	N/A
Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL	Unknown	PDF	N/A
InstructSpeech: Following Speech Editing Instructions via Large Language Models	Unknown	PDF	N/A
Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models	Unknown	PDF	N/A
CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks	Unknown	PDF	N/A
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning	Unknown	PDF	N/A
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs	Unknown	PDF	N/A
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series	Unknown	PDF	N/A
MFTN: A Multi-scale Feature Transfer Network Based on IMatchFormer for Hyperspectral Image Super-Resolution	Unknown	PDF	N/A
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective	Unknown	PDF	N/A
Quasi-Monte Carlo Features for Kernel Approximation	Unknown	PDF	N/A
MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation	Unknown	PDF	N/A
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing	Unknown	PDF	N/A
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation	Unknown	PDF	N/A
Triadic-OCD: Asynchronous Online Change Detection with Provable Robustness, Optimality, and Convergence	Unknown	PDF	N/A
An Embodied Generalist Agent in 3D World	Unknown	PDF	N/A
Faster Adaptive Decentralized Learning Algorithms	Unknown	PDF	N/A
Faster Sampling via Stochastic Gradient Proximal Sampler	Unknown	PDF	N/A
Position: The Platonic Representation Hypothesis	Unknown	PDF	N/A
Nash Incentive-compatible Online Mechanism Learning via Weakly Differentially Private Online Learning	Unknown	PDF	N/A
Make-A-Shape: a Ten-Million-scale 3D Shape Model	Unknown	PDF	N/A
Residual Quantization with Implicit Neural Codebooks	Unknown	PDF	N/A
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians	Unknown	PDF	N/A
Vanilla Bayesian Optimization Performs Great in High Dimensions	Unknown	PDF	N/A
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning	Unknown	PDF	N/A
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control	Unknown	PDF	N/A
Smooth Min-Max Monotonic Networks	Unknown	PDF	N/A
SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention	Unknown	PDF	N/A
Understanding the Learning Dynamics of Alignment with Human Feedback	Unknown	PDF	N/A
Zero-Shot Reinforcement Learning via Function Encoders	Unknown	PDF	N/A
PASOA- PArticle baSed Bayesian Optimal Adaptive design	Unknown	PDF	N/A
Attribution-based Explanations that Provide Recourse Cannot be Robust	Unknown	PDF	N/A
Learning to Reach Goals via Diffusion	Unknown	PDF	N/A
Online Non-stochastic Control with Partial Feedback	Unknown	PDF	N/A
Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD	Unknown	PDF	N/A
An Independence-promoting Loss for Music Generation with Language Models	Unknown	PDF	N/A
Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method	Unknown	PDF	N/A
Repeat After Me: Transformers are Better than State Space Models at Copying	Unknown	PDF	N/A
Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation	Unknown	PDF	N/A
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages	Unknown	PDF	N/A
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities	Unknown	PDF	N/A
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization	Unknown	PDF	N/A
Towards Efficient Exact Optimization of Language Model Alignment	Unknown	PDF	N/A
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic	Unknown	PDF	N/A
Discrete Latent Perspective Learning for Segmentation and Detection	Unknown	PDF	N/A
Simulation-Based Inference with Quantile Regression	Unknown	PDF	N/A
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer	Unknown	PDF	N/A
Chain-of-Thought Predictive Control	Unknown	PDF	N/A
NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks	Unknown	PDF	N/A
On the Origins of Linear Representations in Large Language Models	Unknown	PDF	N/A
Federated Optimization with Doubly Regularized Drift Correction	Unknown	PDF	N/A
Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization	Unknown	PDF	N/A
Generalized Neural Collapse for a Large Number of Classes	Unknown	PDF	N/A
SuDA: Support-based Domain Adaptation for Sim2Real Hinge Joint Tracking with Flexible Sensors	Unknown	PDF	N/A
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning	Unknown	PDF	N/A
Homomorphism Counts for Graph Neural Networks: All About That Basis	Unknown	PDF	N/A
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement	Unknown	PDF	N/A
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning	Unknown	PDF	N/A
Language Models as Semantic Indexers	Unknown	PDF	N/A
Position: What Can Large Language Models Tell Us about Time Series Analysis	Unknown	PDF	N/A
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data	Unknown	PDF	N/A
Graph Generation with Diffusion Mixture	Unknown	PDF	N/A
Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs	Unknown	PDF	N/A
IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation	Unknown	PDF	N/A
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks	Unknown	PDF	N/A
Position: Benchmarking is Limited in Reinforcement Learning Research	Unknown	PDF	N/A
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?	Unknown	PDF	N/A
Unsupervised Episode Generation for Graph Meta-learning	Unknown	PDF	N/A
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy	Unknown	PDF	N/A
Replicable Learning of Large-Margin Halfspaces	Unknown	PDF	N/A
Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos	Unknown	PDF	N/A
C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models	Unknown	PDF	N/A
Think Before You Act: Decision Transformers with Working Memory	Unknown	PDF	N/A
Certifiably Byzantine-Robust Federated Conformal Prediction	Unknown	PDF	N/A
Neural Tangent Kernels for Axis-Aligned Tree Ensembles	Unknown	PDF	N/A
On the Generalization of Equivariant Graph Neural Networks	Unknown	PDF	N/A
Challenges and Considerations in the Evaluation of Bayesian Causal Discovery	Unknown	PDF	N/A
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions	Unknown	PDF	N/A
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice	Unknown	PDF	N/A
Pluvial Flood Emulation with Hydraulics-informed Message Passing	Unknown	PDF	N/A
Accelerating Convergence in Bayesian Few-Shot Classification	Unknown	PDF	N/A
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks	Unknown	PDF	N/A
DUPLEX: Dual GAT for Complex Embedding of Directed Graphs	Unknown	PDF	N/A
A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles	Unknown	PDF	N/A
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach	Unknown	PDF	N/A
Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks	Unknown	PDF	N/A
Breaking through the learning plateaus of in-context learning in Transformer	Unknown	PDF	N/A
Tuning-Free Stochastic Optimization	Unknown	PDF	N/A
Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness	Unknown	PDF	N/A
Can Machines Learn the True Probabilities?	Unknown	PDF	N/A
Gaussian Plane-Wave Neural Operator for Electron Density Estimation	Unknown	PDF	N/A
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging	Unknown	PDF	N/A
CARTE: Pretraining and Transfer for Tabular Learning	Unknown	PDF	N/A
Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning	Unknown	PDF	N/A
Active Label Correction for Semantic Segmentation with Foundation Models	Unknown	PDF	N/A
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models	Unknown	PDF	N/A
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs	Unknown	PDF	N/A
Learning to Explore for Stochastic Gradient MCMC	Unknown	PDF	N/A
Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization	Unknown	PDF	N/A
Clustered Federated Learning via Gradient-based Partitioning	Unknown	PDF	N/A
Demystifying SGD with Doubly Stochastic Gradients	Unknown	PDF	N/A
Attribute Based Interpretable Evaluation Metrics for Generative Models	Unknown	PDF	N/A
EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning	Unknown	PDF	N/A
Risk-Sensitive Policy Optimization via Predictive CVaR Policy Gradient	Unknown	PDF	N/A
Translating Subgraphs to Nodes Makes Simple GNNs Strong and Efficient for Subgraph Representation Learning	Unknown	PDF	N/A
Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption	Unknown	PDF	N/A
Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time	Unknown	PDF	N/A
Polynomial-based Self-Attention for Table Representation Learning	Unknown	PDF	N/A
Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape	Unknown	PDF	N/A
Discovering Features with Synergistic Interactions in Multiple Views	Unknown	PDF	N/A
An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network	Unknown	PDF	N/A
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning	Unknown	PDF	N/A
A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback	Unknown	PDF	N/A
Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design	Unknown	PDF	N/A
Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes	Unknown	PDF	N/A
DistiLLM: Towards Streamlined Distillation for Large Language Models	Unknown	PDF	N/A
Provably Scalable Black-Box Variational Inference with Structured Variational Families	Unknown	PDF	N/A
Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis	Unknown	PDF	N/A
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth	Unknown	PDF	N/A
Estimating Barycenters of Distributions with Neural Optimal Transport	Unknown	PDF	N/A
AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion	Unknown	PDF	N/A
On Convergence of Incremental Gradient for Non-convex Smooth Functions	Unknown	PDF	N/A
Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning	Unknown	PDF	N/A
The Computational Complexity of Finding Second-Order Stationary Points	Unknown	PDF	N/A
convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data	Unknown	PDF	N/A
A General Online Algorithm for Optimizing Complex Performance Metrics	Unknown	PDF	N/A
CLLMs: Consistency Large Language Models	Unknown	PDF	N/A
KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations	Unknown	PDF	N/A
PcLast: Discovering Plannable Continuous Latent States	Unknown	PDF	N/A
Sobolev Space Regularised Pre Density Models	Unknown	PDF	N/A
Geometry-Aware Instrumental Variable Regression	Unknown	PDF	N/A
Understanding the Effects of Iterative Prompting on Truthfulness	Unknown	PDF	N/A
Mean Estimation in the Add-Remove Model of Differential Privacy	Unknown	PDF	N/A
No Free Prune: Information-Theoretic Barriers to Pruning at Initialization	Unknown	PDF	N/A
Collective Certified Robustness against Graph Injection Attacks	Unknown	PDF	N/A
Privately Learning Smooth Distributions on the Hypercube by Projections	Unknown	PDF	N/A
Single-Model Attribution of Generative Models Through Final-Layer Inversion	Unknown	PDF	N/A
Towards Understanding Inductive Bias in Transformers: A View From Infinity	Unknown	PDF	N/A
Modeling Caption Diversity in Contrastive Vision-Language Pretraining	Unknown	PDF	N/A
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms	Unknown	PDF	N/A
Generalized Sobolev Transport for Probability Measures on a Graph	Unknown	PDF	N/A
Robust Inverse Graphics via Probabilistic Inference	Unknown	PDF	N/A
Knowledge Graphs Can be Learned with Just Intersection Features	Unknown	PDF	N/A
Run-Time Task Composition with Safety Semantics	Unknown	PDF	N/A
Chasing Convex Functions with Long-term Constraints	Unknown	PDF	N/A
Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation	Unknown	PDF	N/A
Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks	Unknown	PDF	N/A
Fundamental Benefit of Alternating Updates in Minimax Optimization	Unknown	PDF	N/A
DataFreeShield: Defending Adversarial Attacks without Training Data	Unknown	PDF	N/A
SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching	Unknown	PDF	N/A
Pausing Policy Learning in Non-stationary Reinforcement Learning	Unknown	PDF	N/A
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective	Unknown	PDF	N/A
Drug Discovery with Dynamic Goal-aware Fragments	Unknown	PDF	N/A
Supervised Matrix Factorization: Local Landscape Analysis and Applications	Unknown	PDF	N/A
Defining Neural Network Architecture through Polytope Structures of Datasets	Unknown	PDF	N/A
3D Geometric Shape Assembly via Efficient Point Cloud Matching	Unknown	PDF	N/A
StrWAEs to Invariant Representations	Unknown	PDF	N/A
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains	Unknown	PDF	N/A
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization	Unknown	PDF	N/A
Robust Optimization in Protein Fitness Landscapes Using Reinforcement Learning in Latent Space	Unknown	PDF	N/A
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation	Unknown	PDF	N/A
Improving Gradient-Guided Nested Sampling for Posterior Inference	Unknown	PDF	N/A
Winner-takes-all learners are geometry-aware conditional density estimators	Unknown	PDF	N/A
Eluder-based Regret for Stochastic Contextual MDPs	Unknown	PDF	N/A
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms	Unknown	PDF	N/A
DetKDS: Knowledge Distillation Search for Object Detectors	Unknown	PDF	N/A
Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation	Unknown	PDF	N/A
Critical windows: non-asymptotic theory for feature emergence in diffusion models	Unknown	PDF	N/A
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition	Unknown	PDF	N/A
Completing Visual Objects via Bridging Generation and Segmentation	Unknown	PDF	N/A
Evolving Subnetwork Training for Large Language Models	Unknown	PDF	N/A
Data Poisoning Attacks against Conformal Prediction	Unknown	PDF	N/A
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking	Unknown	PDF	N/A
Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints	Unknown	PDF	N/A
Full-Atom Peptide Design based on Multi-modal Flow Matching	Unknown	PDF	N/A
Positive and Unlabeled Learning with Controlled Probability Boundary Fence	Unknown	PDF	N/A
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Debiased Distribution Compression	Unknown	PDF	N/A
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning	Unknown	PDF	N/A
Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection	Unknown	PDF	N/A
Graph Structure Extrapolation for Out-of-Distribution Generalization	Unknown	PDF	N/A
Value-Evolutionary-Based Reinforcement Learning	Unknown	PDF	N/A
Image Clustering with External Guidance	Unknown	PDF	N/A
VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context	Unknown	PDF	N/A
Accelerating Convergence of Score-Based Diffusion Models, Provably	Unknown	PDF	N/A
Q-Probe: A Lightweight Approach to Reward Maximization for Language Models	Unknown	PDF	N/A
Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines	Unknown	PDF	N/A
Neural Collapse in Multi-label Learning with Pick-all-label Loss	Unknown	PDF	N/A
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing	Unknown	PDF	N/A
Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions	Unknown	PDF	N/A
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective	Unknown	PDF	N/A
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias	Unknown	PDF	N/A
Configurable Mirror Descent: Towards a Unification of Decision Making	Unknown	PDF	N/A
Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation	Unknown	PDF	N/A
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data	Unknown	PDF	N/A
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation	Unknown	PDF	N/A
Preventing Model Collapse in Gaussian Process Latent Variable Models	Unknown	PDF	N/A
Measuring Stochastic Data Complexity with Boltzmann Influence Functions	Unknown	PDF	N/A
Concentration Inequalities for General Functions of Heavy-Tailed Random Variables	Unknown	PDF	N/A
Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once	Unknown	PDF	N/A
Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?	Unknown	PDF	N/A
Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking	Unknown	PDF	N/A
PID: Prompt-Independent Data Protection Against Latent Diffusion Models	Unknown	PDF	N/A
A Contextual Combinatorial Bandit Approach to Negotiation	Unknown	PDF	N/A
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching	Unknown	PDF	N/A
Privacy Preserving Adaptive Experiment Design	Unknown	PDF	N/A
Combining Experimental and Historical Data for Policy Evaluation	Unknown	PDF	N/A
LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models	Unknown	PDF	N/A
DiffFPR: Diffusion Prior for Oversampled Fourier Phase Retrieval	Unknown	PDF	N/A
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning	Unknown	PDF	N/A
Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach	Unknown	PDF	N/A
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling	Unknown	PDF	N/A
Emergent Representations of Program Semantics in Language Models Trained on Programs	Unknown	PDF	N/A
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift	Unknown	PDF	N/A
Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy	Unknown	PDF	N/A
$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax	Unknown	PDF	N/A
The Good, The Bad, and Why: Unveiling Emotions in Generative AI	Unknown	PDF	N/A
Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias	Unknown	PDF	N/A
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction	Unknown	PDF	N/A
Towards efficient deep spiking neural networks construction with spiking activity based pruning	Unknown	PDF	N/A
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization	Unknown	PDF	N/A
Beyond Point Prediction: Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process	Unknown	PDF	N/A
Statistical Properties of Robust Satisficing	Unknown	PDF	N/A
ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models	Unknown	PDF	N/A
IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation	Unknown	PDF	N/A
KernelWarehouse: Rethinking the Design of Dynamic Convolution	Unknown	PDF	N/A
GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model	Unknown	PDF	N/A
Learning the Uncertainty Sets of Linear Control Systems via Set Membership: A Non-asymptotic Analysis	Unknown	PDF	N/A
Seesaw: Compensating for Nonlinear Reduction with Linear Computations for Private Inference	Unknown	PDF	N/A
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks	Unknown	PDF	N/A
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems	Unknown	PDF	N/A
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search	Unknown	PDF	N/A
Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses	Unknown	PDF	N/A
Receptive Fields As Experts in Convolutional Neural Architectures	Unknown	PDF	N/A
Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset	Unknown	PDF	N/A
Graph External Attention Enhanced Transformer	Unknown	PDF	N/A
Single-Trajectory Distributionally Robust Reinforcement Learning	Unknown	PDF	N/A
Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization	Unknown	PDF	N/A
On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis	Unknown	PDF	N/A
Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium	Unknown	PDF	N/A
Graph Geometry-Preserving Autoencoders	Unknown	PDF	N/A
Momentum Particle Maximum Likelihood	Unknown	PDF	N/A
An Effective Dynamic Gradient Calibration Method for Continual Learning	Unknown	PDF	N/A
Revisiting the Role of Language Priors in Vision-Language Models	Unknown	PDF	N/A
Non-confusing Generation of Customized Concepts in Diffusion Models	Unknown	PDF	N/A
Structured Inverse-Free Natural Gradient Descent: Memory-Efficient & Numerically-Stable KFAC	Unknown	PDF	N/A
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data	Unknown	PDF	N/A
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency	Unknown	PDF	N/A
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning	Unknown	PDF	N/A
HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network	Unknown	PDF	N/A
Parsimonious Learning-Augmented Approximations for Dense Instances of $\mathcal{NP}$-hard Problems	Unknown	PDF	N/A
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters	Unknown	PDF	N/A
On Hypothesis Transfer Learning of Functional Linear Models	Unknown	PDF	N/A
GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation	Unknown	PDF	N/A
A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes	Unknown	PDF	N/A
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts	Unknown	PDF	N/A
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency	Unknown	PDF	N/A
Autonomous Sparse Mean-CVaR Portfolio Optimization	Unknown	PDF	N/A
More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms	Unknown	PDF	N/A
Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification	Unknown	PDF	N/A
PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching	Unknown	PDF	N/A
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras	Unknown	PDF	N/A
Position: A Call to Action for a Human-Centered AutoML Paradigm	Unknown	PDF	N/A
Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains	Unknown	PDF	N/A
Scaling Tractable Probabilistic Circuits: A Systems Perspective	Unknown	PDF	N/A
Graph Distillation with Eigenbasis Matching	Unknown	PDF	N/A
Adaptive Text Watermark for Large Language Models	Unknown	PDF	N/A
Graph Adversarial Diffusion Convolution	Unknown	PDF	N/A
Zeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization	Unknown	PDF	N/A
ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection	Unknown	PDF	N/A
Unifying Image Processing as Visual Prompting Question Answering	Unknown	PDF	N/A
The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks	Unknown	PDF	N/A
Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models	Unknown	PDF	N/A
Decoding-time Realignment of Language Models	Unknown	PDF	N/A
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation	Unknown	PDF	N/A
Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation	Unknown	PDF	N/A
Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation	Unknown	PDF	N/A
PAPM: A Physics-aware Proxy Model for Process Systems	Unknown	PDF	N/A
ELTA: An Enhancer against Long-Tail for Aesthetics-oriented Models	Unknown	PDF	N/A
On the Feasibility of Single-Pass Full-Capacity Learning in Linear Threshold Neurons with Binary Input Vectors	Unknown	PDF	N/A
Online Speculative Decoding	Unknown	PDF	N/A
Tuning-free Estimation and Inference of Cumulative Distribution Function under Local Differential Privacy	Unknown	PDF	N/A
Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion	Unknown	PDF	N/A
Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents	Unknown	PDF	N/A
Stereo Risk: A Continuous Modeling Approach to Stereo Matching	Unknown	PDF	N/A
Multi-Source Conformal Inference Under Distribution Shift	Unknown	PDF	N/A
From Generalization Analysis to Optimization Designs for State Space Models	Unknown	PDF	N/A
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences	Unknown	PDF	N/A
Convergence of Online Learning Algorithm for a Mixture of Multiple Linear Regressions	Unknown	PDF	N/A
Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning	Unknown	PDF	N/A
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy	Unknown	PDF	N/A
Position: Foundation Agents as the Paradigm Shift for Decision Making	Unknown	PDF	N/A
Amortized Equation Discovery in Hybrid Dynamical Systems	Unknown	PDF	N/A
Floating Anchor Diffusion Model for Multi-motif Scaffolding	Unknown	PDF	N/A
Class-Imbalanced Graph Learning without Class Rebalancing	Unknown	PDF	N/A
Generative Marginalization Models	Unknown	PDF	N/A
Federated Representation Learning in the Under-Parameterized Regime	Unknown	PDF	N/A
Causal Discovery via Conditional Independence Testing with Proxy Variables	Unknown	PDF	N/A
Perfect Alignment May be Poisonous to Graph Contrastive Learning	Unknown	PDF	N/A
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement	Unknown	PDF	N/A
Symmetric Matrix Completion with ReLU Sampling	Unknown	PDF	N/A
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation	Unknown	PDF	N/A
High-Probability Bound for Non-Smooth Non-Convex Stochastic Optimization with Heavy Tails	Unknown	PDF	N/A
Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition	Unknown	PDF	N/A
Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications	Unknown	PDF	N/A
Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning	Unknown	PDF	N/A
Causality Based Front-door Defense Against Backdoor Attack on Language Models	Unknown	PDF	N/A
Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling	Unknown	PDF	N/A
Building Socially-Equitable Public Models	Unknown	PDF	N/A
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache	Unknown	PDF	N/A
Timer: Generative Pre-trained Transformers Are Large Time Series Models	Unknown	PDF	N/A
On the Last-Iterate Convergence of Shuffling Gradient Methods	Unknown	PDF	N/A
Pairwise Alignment Improves Graph Domain Adaptation	Unknown	PDF	N/A
Neural Operators with Localized Integral and Differential Kernels	Unknown	PDF	N/A
A Tensor Decomposition Perspective on Second-order RNNs	Unknown	PDF	N/A
Restoring balance: principled under/oversampling of data for optimal classification	Unknown	PDF	N/A
Reparameterized Importance Sampling for Robust Variational Bayesian Neural Networks	Unknown	PDF	N/A
Attention Meets Post-hoc Interpretability: A Mathematical Perspective	Unknown	PDF	N/A
Non-Vacuous Generalization Bounds for Large Language Models	Unknown	PDF	N/A
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution	Unknown	PDF	N/A
Optimal Differentially Private Model Training with Public Data	Unknown	PDF	N/A
How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization	Unknown	PDF	N/A
Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models	Unknown	PDF	N/A
HumanTOMATO: Text-aligned Whole-body Motion Generation	Unknown	PDF	N/A
Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum	Unknown	PDF	N/A
Position: Exploring the Robustness of Pipeline-Parallelism-Based Decentralized Training	Unknown	PDF	N/A
CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables	Unknown	PDF	N/A
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue	Unknown	PDF	N/A
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time	Unknown	PDF	N/A
CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series	Unknown	PDF	N/A
FiT: Flexible Vision Transformer for Diffusion Model	Unknown	PDF	N/A
Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search	Unknown	PDF	N/A
OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning	Unknown	PDF	N/A
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models	Unknown	PDF	N/A
Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression	Unknown	PDF	N/A
OMPO: A Unified Framework for RL under Policy and Dynamics Shifts	Unknown	PDF	N/A
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning	Unknown	PDF	N/A
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL	Unknown	PDF	N/A
Potential Based Diffusion Motion Planning	Unknown	PDF	N/A
Cluster-Aware Similarity Diffusion for Instance Retrieval	Unknown	PDF	N/A
RoboMP$^2$: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models	Unknown	PDF	N/A
Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data	Unknown	PDF	N/A
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models	Unknown	PDF	N/A
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks	Unknown	PDF	N/A
Cross-Domain Policy Adaptation by Capturing Representation Mismatch	Unknown	PDF	N/A
Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models	Unknown	PDF	N/A
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation	Unknown	PDF	N/A
Rethinking Decision Transformer via Hierarchical Reinforcement Learning	Unknown	PDF	N/A
Better Locally Private Sparse Estimation Given Multiple Samples Per User	Unknown	PDF	N/A
Outlier-aware Slicing for Post-Training Quantization in Vision Transformer	Unknown	PDF	N/A
X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generation	Unknown	PDF	N/A
Neighboring Perturbations of Knowledge Editing on Large Language Models	Unknown	PDF	N/A
HarmonyDream: Task Harmonization Inside World Models	Unknown	PDF	N/A
High-dimensional Linear Bandits with Knapsacks	Unknown	PDF	N/A
SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment	Unknown	PDF	N/A
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder	Unknown	PDF	N/A
A Provable Decision Rule for Out-of-Distribution Detection	Unknown	PDF	N/A
Faithfulness Measurable Masked Language Models	Unknown	PDF	N/A
On the Hardness of Probabilistic Neurosymbolic Learning	Unknown	PDF	N/A
Split-and-Denoise: Protect large language model inference with local differential privacy	Unknown	PDF	N/A
tinyBenchmarks: evaluating LLMs with fewer examples	Unknown	PDF	N/A
SCoRe: Submodular Combinatorial Representation Learning	Unknown	PDF	N/A
LASER: Linear Compression in Wireless Distributed Optimization	Unknown	PDF	N/A
Entropy-Reinforced Planning with Large Language Models for Drug Discovery	Unknown	PDF	N/A
Auto-Regressive Next-Token Predictors are Universal Learners	Unknown	PDF	N/A
Self-Composing Policies for Scalable Continual Reinforcement Learning	Unknown	PDF	N/A
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks	Unknown	PDF	N/A
Submodular framework for structured-sparse optimal transport	Unknown	PDF	N/A
Large Language Models are Geographically Biased	Unknown	PDF	N/A
Position: Graph Foundation Models Are Already Here	Unknown	PDF	N/A
Towards General Neural Surrogate Solvers with Specialized Neural Accelerators	Unknown	PDF	N/A
$H$-Consistency Guarantees for Regression	Unknown	PDF	N/A
Regression with Multi-Expert Deferral	Unknown	PDF	N/A
No-Regret Reinforcement Learning in Smooth MDPs	Unknown	PDF	N/A
Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows	Unknown	PDF	N/A
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling	Unknown	PDF	N/A
Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point	Unknown	PDF	N/A
Using AI Uncertainty Quantification to Improve Human Decision-Making	Unknown	PDF	N/A
On the Tractability of SHAP Explanations under Markovian Distributions	Unknown	PDF	N/A
On the Consistency of Kernel Methods with Dependent Observations	Unknown	PDF	N/A
Delving into Differentially Private Transformer	Unknown	PDF	N/A
Deep Fusion: Efficient Network Training via Pre-trained Initializations	Unknown	PDF	N/A
Roping in Uncertainty: Robustness and Regularization in Markov Games	Unknown	PDF	N/A
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation	Unknown	PDF	N/A
O$n$ Learning Deep O($n$)-Equivariant Hyperspheres	Unknown	PDF	N/A
Position: Tensor Networks are a Valuable Asset for Green AI	Unknown	PDF	N/A
OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization	Unknown	PDF	N/A
Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification	Unknown	PDF	N/A
The Illusion of State in State-Space Models	Unknown	PDF	N/A
Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation	Unknown	PDF	N/A
Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics	Unknown	PDF	N/A
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data	Unknown	PDF	N/A
Rethinking Momentum Knowledge Distillation in Online Continual Learning	Unknown	PDF	N/A
Efficient World Models with Context-Aware Tokenization	Unknown	PDF	N/A
CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes	Unknown	PDF	N/A
Can Implicit Bias Imply Adversarial Robustness?	Unknown	PDF	N/A
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models	Unknown	PDF	N/A
RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples	Unknown	PDF	N/A
Prodigy: An Expeditiously Adaptive Parameter-Free Learner	Unknown	PDF	N/A
From Inverse Optimization to Feasibility to ERM	Unknown	PDF	N/A
Provable Interactive Learning with Hindsight Instruction Feedback	Unknown	PDF	N/A
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors	Unknown	PDF	N/A
Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm	Unknown	PDF	N/A
OAK: Enriching Document Representations using Auxiliary Knowledge for Extreme Classification	Unknown	PDF	N/A
Language Models with Conformal Factuality Guarantees	Unknown	PDF	N/A
Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks	Unknown	PDF	N/A
Slot Abstractors: Toward Scalable Abstract Visual Reasoning	Unknown	PDF	N/A
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks	Unknown	PDF	N/A
Learning Optimal Deterministic Policies with Stochastic Policy Gradients	Unknown	PDF	N/A
Causal Representation Learning Made Identifiable by Grouping of Observational Variables	Unknown	PDF	N/A
Position: Levels of AGI for Operationalizing Progress on the Path to AGI	Unknown	PDF	N/A
Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs	Unknown	PDF	N/A
SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States	Unknown	PDF	N/A
Truly No-Regret Learning in Constrained MDPs	Unknown	PDF	N/A
Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation	Unknown	PDF	N/A
Turnstile $\ell_p$ leverage score sampling with applications	Unknown	PDF	N/A
BAGEL: Bootstrapping Agents by Guiding Exploration with Language	Unknown	PDF	N/A
Factored-Reward Bandits with Intermediate Observations	Unknown	PDF	N/A
Best Arm Identification for Stochastic Rising Bandits	Unknown	PDF	N/A
Test-Time Regret Minimization in Meta Reinforcement Learning	Unknown	PDF	N/A
Learning in Deep Factor Graphs with Gaussian Belief Propagation	Unknown	PDF	N/A
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect	Unknown	PDF	N/A
Density Ratio Estimation with Doubly Strong Robustness	Unknown	PDF	N/A
Equivariant Deep Weight Space Alignment	Unknown	PDF	N/A
Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design	Unknown	PDF	N/A
On Least Square Estimation in Softmax Gating Mixture of Experts	Unknown	PDF	N/A
PIDformer: Transformer Meets Control Theory	Unknown	PDF	N/A
Differentially private exact recovery for stochastic block models	Unknown	PDF	N/A
Novel Spectral Algorithms for the Partial Credit Model	Unknown	PDF	N/A
Sliced Wasserstein with Random-Path Projecting Directions	Unknown	PDF	N/A
Risk-Sensitive Reward-Free Reinforcement Learning with CVaR	Unknown	PDF	N/A
How Transformers Learn Causal Structure with Gradient Descent	Unknown	PDF	N/A
Understanding the Impact of Introducing Constraints at Inference Time on Generalization Error	Unknown	PDF	N/A
Test-Time Model Adaptation with Only Forward Passes	Unknown	PDF	N/A
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming	Unknown	PDF	N/A
RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching	Unknown	PDF	N/A
$f$-Divergence Based Classification: Beyond the Use of Cross-Entropy	Unknown	PDF	N/A
In value-based deep reinforcement learning, a pruned network is a good network	Unknown	PDF	N/A
Mixtures of Experts Unlock Parameter Scaling for Deep RL	Unknown	PDF	N/A
The Perception-Robustness Tradeoff in Deterministic Image Restoration	Unknown	PDF	N/A
Linear Explanations for Individual Neurons	Unknown	PDF	N/A
Adaptive Proximal Gradient Methods Are Universal Without Approximation	Unknown	PDF	N/A
Fair Resource Allocation in Multi-Task Learning	Unknown	PDF	N/A
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?	Unknown	PDF	N/A
Deep Stochastic Mechanics	Unknown	PDF	N/A
Variational Linearized Laplace Approximation for Bayesian Deep Learning	Unknown	PDF	N/A
Differentiable Mapper for Topological Optimization of Data Representation	Unknown	PDF	N/A
Structured Chemistry Reasoning with Large Language Models	Unknown	PDF	N/A
MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent	Unknown	PDF	N/A
Implicit Representations via Operator Learning	Unknown	PDF	N/A
Bayesian Program Learning by Decompiling Amortized Knowledge	Unknown	PDF	N/A
$S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting	Unknown	PDF	N/A
Feedback Loops With Language Models Drive In-Context Reward Hacking	Unknown	PDF	N/A
Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to $K$-Level Stochastic Optimizations	Unknown	PDF	N/A
RMIB: Representation Matching Information Bottleneck for Matching Text Representations	Unknown	PDF	N/A
Auto-Encoding Morph-Tokens for Multimodal LLM	Unknown	PDF	N/A
A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization	Unknown	PDF	N/A
Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation	Unknown	PDF	N/A
Trainable Transformer in Transformer	Unknown	PDF	N/A
Position: Topological Deep Learning is the New Frontier for Relational Learning	Unknown	PDF	N/A
Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI	Unknown	PDF	N/A
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm	Unknown	PDF	N/A
The Linear Representation Hypothesis and the Geometry of Large Language Models	Unknown	PDF	N/A
Mean-field Chaos Diffusion Models	Unknown	PDF	N/A
Foundation Policies with Hilbert Representations	Unknown	PDF	N/A
SignSGD with Federated Defense: Harnessing Adversarial Attacks through Gradient Sign Decoding	Unknown	PDF	N/A
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks	Unknown	PDF	N/A
State-Free Inference of State-Space Models: The Transfer Function Approach	Unknown	PDF	N/A
Variational Inference with Coverage Guarantees in Simulation-Based Inference	Unknown	PDF	N/A
Optimal Ridge Regularization for Out-of-Distribution Prediction	Unknown	PDF	N/A
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers	Unknown	PDF	N/A
Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces	Unknown	PDF	N/A
Graph Automorphism Group Equivariant Neural Networks	Unknown	PDF	N/A
BetterV: Controlled Verilog Generation with Discriminative Guidance	Unknown	PDF	N/A
Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks	Unknown	PDF	N/A
Knowledge Distillation with Auxiliary Variable	Unknown	PDF	N/A
UPAM: Unified Prompt Attack in Text-to-Image Generation Models Against Both Textual Filters and Visual Checkers	Unknown	PDF	N/A
Pragmatic Feature Preferences: Learning Reward-Relevant Preferences from Human Input	Unknown	PDF	N/A
UPOCR: Towards Unified Pixel-Level OCR Interface	Unknown	PDF	N/A
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler	Unknown	PDF	N/A
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance	Unknown	PDF	N/A
A Subquadratic Time Algorithm for Robust Sparse Mean Estimation	Unknown	PDF	N/A
Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach	Unknown	PDF	N/A
The Relative Value of Prediction in Algorithmic Decision Making	Unknown	PDF	N/A
Interpreting and Improving Diffusion Models from an Optimization Perspective	Unknown	PDF	N/A
Mechanistic Neural Networks for Scientific Machine Learning	Unknown	PDF	N/A
Bayesian Regret Minimization in Offline Bandits	Unknown	PDF	N/A
Prompting a Pretrained Transformer Can Be a Universal Approximator	Unknown	PDF	N/A
Transport of Algebraic Structure to Latent Embeddings	Unknown	PDF	N/A
Cross-view Masked Diffusion Transformers for Person Image Synthesis	Unknown	PDF	N/A
Detecting Influence Structures in Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Contrasting Multiple Representations with the Multi-Marginal Matching Gap	Unknown	PDF	N/A
Adaptive Conformal Inference by Betting	Unknown	PDF	N/A
Mechanistic Design and Scaling of Hybrid Architectures	Unknown	PDF	N/A
Robust Data-driven Prescriptiveness Optimization	Unknown	PDF	N/A
Learning Multiple Secrets in Mastermind	Unknown	PDF	N/A
The Entropy Enigma: Success and Failure of Entropy Minimization	Unknown	PDF	N/A
Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling	Unknown	PDF	N/A
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation	Unknown	PDF	N/A
Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images	Unknown	PDF	N/A
Learning to Remove Cuts in Integer Linear Programming	Unknown	PDF	N/A
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration	Unknown	PDF	N/A
ByMI: Byzantine Machine Identification with False Discovery Rate Control	Unknown	PDF	N/A
Efficient Non-stationary Online Learning by Wavelets with Applications to Online Distribution Shift Adaptation	Unknown	PDF	N/A
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints	Unknown	PDF	N/A
ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision	Unknown	PDF	N/A
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes	Unknown	PDF	N/A
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention	Unknown	PDF	N/A
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention	Unknown	PDF	N/A
Feasible Reachable Policy Iteration	Unknown	PDF	N/A
Learning High-Order Relationships of Brain Regions	Unknown	PDF	N/A
To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO	Unknown	PDF	N/A
Transferring Knowledge From Large Foundation Models to Small Downstream Models	Unknown	PDF	N/A
Compute Better Spent: Replacing Dense Layers with Structured Matrices	Unknown	PDF	N/A
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space	Unknown	PDF	N/A
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations	Unknown	PDF	N/A
Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation	Unknown	PDF	N/A
Multiply-Robust Causal Change Attribution	Unknown	PDF	N/A
Decomposable Submodular Maximization in Federated Setting	Unknown	PDF	N/A
Subsampling is not Magic: Why Large Batch Sizes Work for Differentially Private Stochastic Optimisation	Unknown	PDF	N/A
STEER: Assessing the Economic Rationality of Large Language Models	Unknown	PDF	N/A
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks	Unknown	PDF	N/A
Position: The Reasonable Person Standard for AI	Unknown	PDF	N/A
Unveiling Privacy, Memorization, and Input Curvature Links	Unknown	PDF	N/A
Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion	Unknown	PDF	N/A
Fair Federated Learning via the Proportional Veto Core	Unknown	PDF	N/A
Optimal Batched Linear Bandits	Unknown	PDF	N/A
TabLog: Test-Time Adaptation for Tabular Data Using Logic Rules	Unknown	PDF	N/A
Rejuvenating image-GPT as Strong Visual Representation Learners	Unknown	PDF	N/A
CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model	Unknown	PDF	N/A
Plug-and-Play image restoration with Stochastic deNOising REgularization	Unknown	PDF	N/A
Implicit Regularization in Feedback Alignment Learning Mechanisms for Neural Networks	Unknown	PDF	N/A
Universal Gradient Methods for Stochastic Convex Optimization	Unknown	PDF	N/A
Position: Key Claims in LLM Research Have a Long Tail of Footnotes	Unknown	PDF	N/A
Position: Mission Critical – Satellite Data is a Distinct Modality in Machine Learning	Unknown	PDF	N/A
Invariant Risk Minimization Is A Total Variation Model	Unknown	PDF	N/A
Position: Application-Driven Innovation in Machine Learning	Unknown	PDF	N/A
One-Shot Strategic Classification Under Unknown Costs	Unknown	PDF	N/A
Modelling Microbial Communities with Graph Neural Networks	Unknown	PDF	N/A
Position: Amazing Things Come From Having Many Good Models	Unknown	PDF	N/A
Generalizing Orthogonalization for Models with Non-Linearities	Unknown	PDF	N/A
Rolling Diffusion Models	Unknown	PDF	N/A
Second-Order Uncertainty Quantification: A Distance-Based Approach	Unknown	PDF	N/A
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency	Unknown	PDF	N/A
Predictive Coding beyond Correlations	Unknown	PDF	N/A
Proactive Detection of Voice Cloning with Localized Watermarking	Unknown	PDF	N/A
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization	Unknown	PDF	N/A
Sparse and Structured Hopfield Networks	Unknown	PDF	N/A
A sampling theory perspective on activations for implicit neural representations	Unknown	PDF	N/A
A fast algorithm to simulate nonlinear resistive networks	Unknown	PDF	N/A
Parallel Affine Transformation Tuning of Markov Chain Monte Carlo	Unknown	PDF	N/A
Incentivized Learning in Principal-Agent Bandit Games	Unknown	PDF	N/A
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models	Unknown	PDF	N/A
Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference	Unknown	PDF	N/A
Online Learning with Bounded Recall	Unknown	PDF	N/A
Asymptotics of Learning with Deep Structured (Random) Features	Unknown	PDF	N/A
Simultaneous identification of models and parameters of scientific simulators	Unknown	PDF	N/A
Bayesian Adaptation of Network Depth and Width for Continual Learning	Unknown	PDF	N/A
Towards Scalable and Versatile Weight Space Learning	Unknown	PDF	N/A
Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes	Unknown	PDF	N/A
Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!	Unknown	PDF	N/A
Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models	Unknown	PDF	N/A
Prompting is a Double-Edged Sword: Improving Worst-Group Robustness of Foundation Models	Unknown	PDF	N/A
A Multimodal Automated Interpretability Agent	Unknown	PDF	N/A
The Balanced-Pairwise-Affinities Feature Transform	Unknown	PDF	N/A
Improved Generalization of Weight Space Networks via Augmentations	Unknown	PDF	N/A
On Multi-Armed Bandit with Impatient Arms	Unknown	PDF	N/A
Language Generation with Strictly Proper Scoring Rules	Unknown	PDF	N/A
Learning Decision Policies with Instrumental Variables through Double Machine Learning	Unknown	PDF	N/A
How Far Can Fairness Constraints Help Recover From Biased Data?	Unknown	PDF	N/A
Reducing sequential change detection to sequential estimation	Unknown	PDF	N/A
Exploring the Complexity of Deep Neural Networks through Functional Equivalence	Unknown	PDF	N/A
Position: Do pretrained Transformers Learn In-Context by Gradient Descent?	Unknown	PDF	N/A
Why Do Animals Need Shaping? A Theory of Task Composition and Curriculum Learning	Unknown	PDF	N/A
ReLUs Are Sufficient for Learning Implicit Neural Representations	Unknown	PDF	N/A
Double Momentum Method for Lower-Level Constrained Bilevel Optimization	Unknown	PDF	N/A
LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies	Unknown	PDF	N/A
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty	Unknown	PDF	N/A
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers	Unknown	PDF	N/A
Why Larger Language Models Do In-context Learning Differently?	Unknown	PDF	N/A
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts	Unknown	PDF	N/A
Statistical Test for Attention Maps in Vision Transformers	Unknown	PDF	N/A
Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation	Unknown	PDF	N/A
IOI: Invisible One-Iteration Adversarial Attack on No-Reference Image- and Video-Quality Metrics	Unknown	PDF	N/A
InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation	Unknown	PDF	N/A
Embarrassingly Parallel GFlowNets	Unknown	PDF	N/A
Deletion-Anticipative Data Selection with a Limited Budget	Unknown	PDF	N/A
Latent variable model for high-dimensional point process with structured missingness	Unknown	PDF	N/A
Domain Generalisation via Imprecise Learning	Unknown	PDF	N/A
Byzantine Resilient and Fast Federated Few-Shot Learning	Unknown	PDF	N/A
Parallelized Spatiotemporal Slot Binding for Videos	Unknown	PDF	N/A
In-Context Reinforcement Learning for Variable Action Spaces	Unknown	PDF	N/A
Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing	Unknown	PDF	N/A
Inexact Newton-type Methods for Optimisation with Nonnegativity Constraints	Unknown	PDF	N/A
Probabilistic Modeling of Interpersonal Coordination Processes	Unknown	PDF	N/A
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?	Unknown	PDF	N/A
Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws	Unknown	PDF	N/A
Hybrid Reinforcement Learning from Offline Observation Alone	Unknown	PDF	N/A
SurfPro: Functional Protein Design Based on Continuous Surface	Unknown	PDF	N/A
OSN: Infinite Representations of Dynamic 3D Scenes from Monocular Videos	Unknown	PDF	N/A
Sparse is Enough in Fine-tuning Pre-trained Large Language Models	Unknown	PDF	N/A
Position: Leverage Foundational Models for Black-Box Optimization	Unknown	PDF	N/A
Latent Logic Tree Extraction for Event Sequence Explanation from LLMs	Unknown	PDF	N/A
Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates	Unknown	PDF	N/A
Position: A Roadmap to Pluralistic Alignment	Unknown	PDF	N/A
CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback	Unknown	PDF	N/A
Harmonic Self-Conditioned Flow Matching for joint Multi-Ligand Docking and Binding Site Design	Unknown	PDF	N/A
Learning to Intervene on Concept Bottlenecks	Unknown	PDF	N/A
QORA: Zero-Shot Transfer via Interpretable Object-Relational Model Learning	Unknown	PDF	N/A
Private Truly-Everlasting Robust-Prediction	Unknown	PDF	N/A
ReGAL: Refactoring Programs to Discover Generalizable Abstractions	Unknown	PDF	N/A
RLVF: Learning from Verbal Feedback without Overgeneralization	Unknown	PDF	N/A
Online Learning in CMDPs: Handling Stochastic and Adversarial Constraints	Unknown	PDF	N/A
Designing Decision Support Systems using Counterfactual Prediction Sets	Unknown	PDF	N/A
Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models	Unknown	PDF	N/A
Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas	Unknown	PDF	N/A
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction	Unknown	PDF	N/A
ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance	Unknown	PDF	N/A
Constrained Reinforcement Learning Under Model Mismatch	Unknown	PDF	N/A
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton	Unknown	PDF	N/A
LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering	Unknown	PDF	N/A
Online Adaptive Anomaly Thresholding with Confidence Sequences	Unknown	PDF	N/A
Learning Graph Representation via Graph Entropy Maximization	Unknown	PDF	N/A
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models	Unknown	PDF	N/A
Regression Learning with Limited Observations of Multivariate Outcomes and Features	Unknown	PDF	N/A
Graph Neural Networks with a Distribution of Parametrized Graphs	Unknown	PDF	N/A
video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models	Unknown	PDF	N/A
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models	Unknown	PDF	N/A
On a Combinatorial Problem Arising in Machine Teaching	Unknown	PDF	N/A
Interpretable Deep Clustering for Tabular Data	Unknown	PDF	N/A
Reinforcement Learning from Reachability Specifications: PAC Guarantees with Expected Conditional Distance	Unknown	PDF	N/A
A Universal Class of Sharpness-Aware Minimization Algorithms	Unknown	PDF	N/A
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds	Unknown	PDF	N/A
Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective	Unknown	PDF	N/A
Community-Invariant Graph Contrastive Learning	Unknown	PDF	N/A
Memorization Through the Lens of Curvature of Loss Function Around Samples	Unknown	PDF	N/A
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning	Unknown	PDF	N/A
Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem	Unknown	PDF	N/A
OTMatch: Improving Semi-Supervised Learning with Optimal Transport	Unknown	PDF	N/A
Post-hoc Part-Prototype Networks	Unknown	PDF	N/A
Rethinking Optimization and Architecture for Tiny Language Models	Unknown	PDF	N/A
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts	Unknown	PDF	N/A
StrokeNUWA—Tokenizing Strokes for Vector Graphic Synthesis	Unknown	PDF	N/A
SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification	Unknown	PDF	N/A
Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression	Unknown	PDF	N/A
MathScale: Scaling Instruction Tuning for Mathematical Reasoning	Unknown	PDF	N/A
QUEST: Query-Aware Sparsity for Efficient Long-Context LLM Inference	Unknown	PDF	N/A
Position: What makes an image realistic?	Unknown	PDF	N/A
A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems	Unknown	PDF	N/A
Beyond Individual Input for Deep Anomaly Detection on Tabular Data	Unknown	PDF	N/A
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval	Unknown	PDF	N/A
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence	Unknown	PDF	N/A
Ranking-based Client Imitation Selection for Efficient Federated Learning	Unknown	PDF	N/A
OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport	Unknown	PDF	N/A
Copula-Nested Spectral Kernel Network	Unknown	PDF	N/A
FRAPPÉ: A Group Fairness Framework for Post-Processing Everything	Unknown	PDF	N/A
Faster Maximum Inner Product Search in High Dimensions	Unknown	PDF	N/A
Position: Enforced Amnesia as a Way to Mitigate the Potential Risk of Silent Suffering in the Conscious AI	Unknown	PDF	N/A
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model	Unknown	PDF	N/A
Position: Do Not Explain Vision Models Without Context	Unknown	PDF	N/A
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics	Unknown	PDF	N/A
Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments	Unknown	PDF	N/A
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data	Unknown	PDF	N/A
Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring	Unknown	PDF	N/A
Coactive Learning for Large Language Models using Implicit User Feedback	Unknown	PDF	N/A
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems	Unknown	PDF	N/A
Matroid Semi-Bandits in Sublinear Time	Unknown	PDF	N/A
Improving Antibody Humanness Prediction using Patent Data	Unknown	PDF	N/A
Feedback Efficient Online Fine-Tuning of Diffusion Models	Unknown	PDF	N/A
Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function	Unknown	PDF	N/A
Reward-Free Kernel-Based Reinforcement Learning	Unknown	PDF	N/A
Federated Self-Explaining GNNs with Anti-shortcut Augmentations	Unknown	PDF	N/A
How to Leverage Diverse Demonstrations in Offline Imitation Learning	Unknown	PDF	N/A
Position: Why Tabular Foundation Models Should Be a Research Priority	Unknown	PDF	N/A
Piecewise Constant and Linear Regression Trees: An Optimal Dynamic Programming Approach	Unknown	PDF	N/A
Algorithm and Hardness for Dynamic Attention Maintenance in Large Language Models	Unknown	PDF	N/A
Proactive DP: A Multiple Target Optimization Framework for DP-SGD	Unknown	PDF	N/A
When Representations Align: Universality in Representation Learning Dynamics	Unknown	PDF	N/A
Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes	Unknown	PDF	N/A
Discovering Mixtures of Structural Causal Models from Time Series Data	Unknown	PDF	N/A
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution	Unknown	PDF	N/A
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features	Unknown	PDF	N/A
Code as Reward: Empowering Reinforcement Learning with VLMs	Unknown	PDF	N/A
Topological Neural Networks go Persistent, Equivariant, and Continuous	Unknown	PDF	N/A
To the Max: Reinventing Reward in Reinforcement Learning	Unknown	PDF	N/A
Imitation Learning in Discounted Linear MDPs without exploration assumptions	Unknown	PDF	N/A
Parameter Estimation in DAGs from Incomplete Data via Optimal Transport	Unknown	PDF	N/A
Optimal Transport for Structure Learning Under Missing Data	Unknown	PDF	N/A
Convergence of Some Convex Message Passing Algorithms to a Fixed Point	Unknown	PDF	N/A
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness	Unknown	PDF	N/A
Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning	Unknown	PDF	N/A
Trustless Audits without Revealing Data or Models	Unknown	PDF	N/A
Implicit Compressibility of Overparametrized Neural Networks Trained with Heavy-Tailed SGD	Unknown	PDF	N/A
SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets	Unknown	PDF	N/A
VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception	Unknown	PDF	N/A
Superpoint Gaussian Splatting for Real-Time High-Fidelity Dynamic Scene Reconstruction	Unknown	PDF	N/A
S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning	Unknown	PDF	N/A
Non-stationary Online Convex Optimization with Arbitrary Delays	Unknown	PDF	N/A
Towards Unified Multi-granularity Text Detection with Interactive Attention	Unknown	PDF	N/A
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts	Unknown	PDF	N/A
On Universally Optimal Algorithms for A/B Testing	Unknown	PDF	N/A
Adversarially Robust Hypothesis Transfer Learning	Unknown	PDF	N/A
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features	Unknown	PDF	N/A
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design	Unknown	PDF	N/A
Revisiting the Power of Prompt for Visual Tuning	Unknown	PDF	N/A
TVE: Learning Meta-attribution for Transferable Vision Explainer	Unknown	PDF	N/A
Adaptively Learning to Select-Rank in Online Platforms	Unknown	PDF	N/A
Imitation Learning from Purified Demonstrations	Unknown	PDF	N/A
Image Restoration Through Generalized Ornstein-Uhlenbeck Bridge	Unknown	PDF	N/A
Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View	Unknown	PDF	N/A
An Efficient Maximal Ancestral Graph Listing Algorithm	Unknown	PDF	N/A
Monotone, Bi-Lipschitz, and Polyak-Łojasiewicz Networks	Unknown	PDF	N/A
Swallowing the Bitter Pill: Simplified Scalable Conformer Generation	Unknown	PDF	N/A
Optimal Kernel Quantile Learning with Random Features	Unknown	PDF	N/A
MEMORYLLM: Towards Self-Updatable Large Language Models	Unknown	PDF	N/A
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments	Unknown	PDF	N/A
Mollification Effects of Policy Gradient Methods	Unknown	PDF	N/A
Optimal Kernel Choice for Score Function-based Causal Discovery	Unknown	PDF	N/A
Rapid Learning without Catastrophic Forgetting in the Morris Water Maze	Unknown	PDF	N/A
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical	Unknown	PDF	N/A
Total Variation Floodgate for Variable Importance Inference in Classification	Unknown	PDF	N/A
In-context Learning on Function Classes Unveiled for Transformers	Unknown	PDF	N/A
StableSSM: Alleviating the Curse of Memory in State-space Models through Stable Reparameterization	Unknown	PDF	N/A
Bootstrap AutoEncoders With Contrastive Paradigm for Self-supervised Gaze Estimation	Unknown	PDF	N/A
Highway Value Iteration Networks	Unknown	PDF	N/A
Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting	Unknown	PDF	N/A
Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach	Unknown	PDF	N/A
An Iterative Min-Min Optimization Method for Sparse Bayesian Learning	Unknown	PDF	N/A
Open Ad Hoc Teamwork with Cooperative Game Theory	Unknown	PDF	N/A
Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models	Unknown	PDF	N/A
Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning	Unknown	PDF	N/A
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data	Unknown	PDF	N/A
A Dual-module Framework for Counterfactual Estimation over Time	Unknown	PDF	N/A
Transforming and Combining Rewards for Aligning Large Language Models	Unknown	PDF	N/A
TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks	Unknown	PDF	N/A
Pi-DUAL: Using privileged information to distinguish clean from noisy labels	Unknown	PDF	N/A
Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data	Unknown	PDF	N/A
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining	Unknown	PDF	N/A
A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models	Unknown	PDF	N/A
Efficient Online Set-valued Classification with Bandit Feedback	Unknown	PDF	N/A
LLM-Empowered State Representation for Reinforcement Learning	Unknown	PDF	N/A
Proteus: Exploring Protein Structure Generation for Enhanced Designability and Efficiency	Unknown	PDF	N/A
How to Trace Latent Generative Model Generated Images without Artificial Watermark?	Unknown	PDF	N/A
Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery	Unknown	PDF	N/A
Generalization Analysis of Stochastic Weight Averaging with General Sampling	Unknown	PDF	N/A
CW Complex Hypothesis for Image Data	Unknown	PDF	N/A
Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks	Unknown	PDF	N/A
Open-Vocabulary Calibration for Fine-tuned CLIP	Unknown	PDF	N/A
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design	Unknown	PDF	N/A
Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot	Unknown	PDF	N/A
Defense against Model Extraction Attack by Bayesian Active Watermarking	Unknown	PDF	N/A
Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks	Unknown	PDF	N/A
Learning with Adaptive Resource Allocation	Unknown	PDF	N/A
Exploring Intrinsic Dimension for Vision-Language Model Pruning	Unknown	PDF	N/A
Boximator: Generating Rich and Controllable Motions for Video Synthesis	Unknown	PDF	N/A
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning	Unknown	PDF	N/A
Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning	Unknown	PDF	N/A
Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation	Unknown	PDF	N/A
Mapping the Multiverse of Latent Representations	Unknown	PDF	N/A
Exact Soft Analytical Side-Channel Attacks using Tractable Circuits	Unknown	PDF	N/A
Learning Pseudo-Contractive Denoisers for Inverse Problems	Unknown	PDF	N/A
Rethinking Generative Large Language Model Evaluation for Semantic Comprehension	Unknown	PDF	N/A
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models	Unknown	PDF	N/A
Magicoder: Empowering Code Generation with OSS-Instruct	Unknown	PDF	N/A
Extending Test-Time Augmentation with Metamorphic Relations for Combinatorial Problems	Unknown	PDF	N/A
Position: AI/ML Influencers Have a Place in the Academic Process	Unknown	PDF	N/A
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution	Unknown	PDF	N/A
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning	Unknown	PDF	N/A
Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering	Unknown	PDF	N/A
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning	Unknown	PDF	N/A
Provable Contrastive Continual Learning	Unknown	PDF	N/A
Stability-Informed Initialization of Neural Ordinary Differential Equations	Unknown	PDF	N/A
Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains	Unknown	PDF	N/A
Unified Training of Universal Time Series Forecasting Transformers	Unknown	PDF	N/A
Adaptive Accompaniment with ReaLchords	Unknown	PDF	N/A
Ditto: Quantization-aware Secure Inference of Transformers upon MPC	Unknown	PDF	N/A
NExT-GPT: Any-to-Any Multimodal LLM	Unknown	PDF	N/A
Understanding Stochastic Natural Gradient Variational Inference	Unknown	PDF	N/A
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames	Unknown	PDF	N/A
A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models	Unknown	PDF	N/A
PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques	Unknown	PDF	N/A
Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models	Unknown	PDF	N/A
Borda Regret Minimization for Generalized Linear Dueling Bandits	Unknown	PDF	N/A
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation	Unknown	PDF	N/A
Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces	Unknown	PDF	N/A
Learning Causal Relations from Subsampled Time Series with Two Time-Slices	Unknown	PDF	N/A
AND: Audio Network Dissection for Interpreting Deep Acoustic Models	Unknown	PDF	N/A
Transolver: A Fast Transformer Solver for PDEs on General Geometries	Unknown	PDF	N/A
Confidence-aware Contrastive Learning for Selective Classification	Unknown	PDF	N/A
Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value	Unknown	PDF	N/A
VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model	Unknown	PDF	N/A
Profile Reconstruction from Private Sketches	Unknown	PDF	N/A
Policy Learning for Balancing Short-Term and Long-Term Rewards	Unknown	PDF	N/A
A Theory of Fault-Tolerant Learning	Unknown	PDF	N/A
How to Explore with Belief: State Entropy Maximization in POMDPs	Unknown	PDF	N/A
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization	Unknown	PDF	N/A
Detecting Any instruction-to-answer interaction relationship:Universal Instruction-to-Answer Navigator for Med-VQA	Unknown	PDF	N/A
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning	Unknown	PDF	N/A
Mitigating Label Noise on Graphs via Topological Sample Selection	Unknown	PDF	N/A
Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays	Unknown	PDF	N/A
HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming	Unknown	PDF	N/A
Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels	Unknown	PDF	N/A
Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints	Unknown	PDF	N/A
LESS: Selecting Influential Data for Targeted Instruction Tuning	Unknown	PDF	N/A
Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources	Unknown	PDF	N/A
Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems	Unknown	PDF	N/A
Delving into the Convergence of Generalized Smooth Minimax Optimization	Unknown	PDF	N/A
Category-Aware Active Domain Adaptation	Unknown	PDF	N/A
Improved Operator Learning by Orthogonal Attention	Unknown	PDF	N/A
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning	Unknown	PDF	N/A
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs	Unknown	PDF	N/A
CCM: Real-Time Controllable Visual Content Creation Using Text-to-Image Consistency Models	Unknown	PDF	N/A
Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models	Unknown	PDF	N/A
Automating the Selection of Proxy Variables of Unmeasured Confounders	Unknown	PDF	N/A
FedREDefense: Defending against Model Poisoning Attacks for Federated Learning using Model Update Reconstruction Error	Unknown	PDF	N/A
Improving SAM Requires Rethinking its Optimization Formulation	Unknown	PDF	N/A
Implicit Bias of AdamW: $\ell_\infty$-Norm Constrained Optimization	Unknown	PDF	N/A
Local Causal Structure Learning in the Presence of Latent Variables	Unknown	PDF	N/A
Reflected Flow Matching	Unknown	PDF	N/A
Federated Neuro-Symbolic Learning	Unknown	PDF	N/A
HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction	Unknown	PDF	N/A
See More Details: Efficient Image Super-Resolution by Experts Mining	Unknown	PDF	N/A
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback	Unknown	PDF	N/A
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control	Unknown	PDF	N/A
Stochastic Bandits with ReLU Neural Networks	Unknown	PDF	N/A
Intersectional Unfairness Discovery	Unknown	PDF	N/A
Semantic-Aware Human Object Interaction Image Generation	Unknown	PDF	N/A
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate	Unknown	PDF	N/A
Equivariant Graph Neural Operator for Modeling 3D Dynamics	Unknown	PDF	N/A
Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning	Unknown	PDF	N/A
Non-clairvoyant Scheduling with Partial Predictions	Unknown	PDF	N/A
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model	Unknown	PDF	N/A
Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module	Unknown	PDF	N/A
Meta-Reinforcement Learning Robust to Distributional Shift Via Performing Lifelong In-Context Learning	Unknown	PDF	N/A
Prompt-guided Precise Audio Editing with Diffusion Models	Unknown	PDF	N/A
Robust Inverse Constrained Reinforcement Learning under Model Misspecification	Unknown	PDF	N/A
Soft Prompt Recovers Compressed LLMs, Transferably	Unknown	PDF	N/A
Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation	Unknown	PDF	N/A
Adaptive Group Personalization for Federated Mutual Transfer Learning	Unknown	PDF	N/A
Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence	Unknown	PDF	N/A
Pricing with Contextual Elasticity and Heteroscedastic Valuation	Unknown	PDF	N/A
Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement	Unknown	PDF	N/A
SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter	Unknown	PDF	N/A
Libra: Building Decoupled Vision System on Large Language Models	Unknown	PDF	N/A
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble	Unknown	PDF	N/A
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning	Unknown	PDF	N/A
Exponential Spectral Pursuit: An Effective Initialization Method for Sparse Phase Retrieval	Unknown	PDF	N/A
Iterative Regularized Policy Optimization with Imperfect Demonstrations	Unknown	PDF	N/A
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings	Unknown	PDF	N/A
Offline Multi-Objective Optimization	Unknown	PDF	N/A
FairProof : Confidential and Certifiable Fairness for Neural Networks	Unknown	PDF	N/A
Balancing Similarity and Complementarity for Federated Learning	Unknown	PDF	N/A
Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model	Unknown	PDF	N/A
Exploring the LLM Journey from Cognition to Expression with Linear Representations	Unknown	PDF	N/A
A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction	Unknown	PDF	N/A
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching	Unknown	PDF	N/A
Handling Heterogeneous Curvatures in Bandit LQR Control	Unknown	PDF	N/A
Foundations of Testing for Finite-Sample Causal Discovery	Unknown	PDF	N/A
Retrieval Across Any Domains via Large-scale Pre-trained Model	Unknown	PDF	N/A
Reducing Balancing Error for Causal Inference via Optimal Transport	Unknown	PDF	N/A
Sample-Efficient Multiagent Reinforcement Learning with Reset Replay	Unknown	PDF	N/A
Guidance with Spherical Gaussian Constraint for Conditional Diffusion	Unknown	PDF	N/A
Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks	Unknown	PDF	N/A
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation	Unknown	PDF	N/A
Small-loss Adaptive Regret for Online Convex Optimization	Unknown	PDF	N/A
Position: Towards Implicit Prompt For Text-To-Image Models	Unknown	PDF	N/A
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment	Unknown	PDF	N/A
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation	Unknown	PDF	N/A
Representation Surgery for Multi-Task Model Merging	Unknown	PDF	N/A
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation	Unknown	PDF	N/A
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training	Unknown	PDF	N/A
UniAudio: Towards Universal Audio Generation with Large Language Models	Unknown	PDF	N/A
Explain Temporal Black-Box Models via Functional Decomposition	Unknown	PDF	N/A
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms	Unknown	PDF	N/A
Neuro-Symbolic Temporal Point Processes	Unknown	PDF	N/A
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs	Unknown	PDF	N/A
Empowering Graph Invariance Learning with Deep Spurious Infomax	Unknown	PDF	N/A
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?	Unknown	PDF	N/A
Mobile Attention: Mobile-Friendly Linear-Attention for Vision Transformers	Unknown	PDF	N/A
Socialized Learning: Making Each Other Better Through Multi-Agent Collaboration	Unknown	PDF	N/A
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption	Unknown	PDF	N/A
StableMask: Refining Causal Masking in Decoder-only Transformer	Unknown	PDF	N/A
Junk DNA Hypothesis: Pruning Small Pre-Trained Weights $\textit{Irreversibly}$ and $\textit{Monotonically}$ Impairs ``Difficult" Downstream Tasks in LLMs	Unknown	PDF	N/A
Uncertainty Estimation by Density Aware Evidential Deep Learning	Unknown	PDF	N/A
FRAG: Frequency Adapting Group for Diffusion Video Editing	Unknown	PDF	N/A
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models	Unknown	PDF	N/A
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian Splatting	Unknown	PDF	N/A
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN	Unknown	PDF	N/A
Activation-Descent Regularization for Input Optimization of ReLU Networks	Unknown	PDF	N/A
Privacy-Preserving Instructions for Aligning Large Language Models	Unknown	PDF	N/A
Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders	Unknown	PDF	N/A
Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer	Unknown	PDF	N/A
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack	Unknown	PDF	N/A
Learning Causal Dynamics Models in Object-Oriented Environments	Unknown	PDF	N/A
ViP: A Differentially Private Foundation Model for Computer Vision	Unknown	PDF	N/A
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders	Unknown	PDF	N/A
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities	Unknown	PDF	N/A
Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch	Unknown	PDF	N/A
Improving Sharpness-Aware Minimization by Lookahead	Unknown	PDF	N/A
SHINE: Shielding Backdoors in Deep Reinforcement Learning	Unknown	PDF	N/A
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators	Unknown	PDF	N/A
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation	Unknown	PDF	N/A
Robustly Learning Single-Index Models via Alignment Sharpness	Unknown	PDF	N/A
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought	Unknown	PDF	N/A
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)	Unknown	PDF	N/A
Token-level Direct Preference Optimization	Unknown	PDF	N/A
Learning Reward for Robot Skills Using Large Language Models via Self-Alignment	Unknown	PDF	N/A
Graph Mixup on Approximate Gromov–Wasserstein Geodesics	Unknown	PDF	N/A
IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers	Unknown	PDF	N/A
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution	Unknown	PDF	N/A
Robust Learning-Augmented Dictionaries	Unknown	PDF	N/A
Tight Partial Identification of Causal Effects with Marginal Distribution of Unmeasured Confounders	Unknown	PDF	N/A
DAG-Based Column Generation for Adversarial Team Games	Unknown	PDF	N/A
Efficient Stochastic Approximation of Minimax Excess Risk Optimization	Unknown	PDF	N/A
Discounted Adaptive Online Learning: Towards Better Regularization	Unknown	PDF	N/A
Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation	Unknown	PDF	N/A
Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation	Unknown	PDF	N/A
LQER: Low-Rank Quantization Error Reconstruction for LLMs	Unknown	PDF	N/A
Random Scaling and Momentum for Non-smooth Non-convex Optimization	Unknown	PDF	N/A
Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining	Unknown	PDF	N/A
CaM: Cache Merging for Memory-efficient LLMs Inference	Unknown	PDF	N/A
Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models	Unknown	PDF	N/A
MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness	Unknown	PDF	N/A
ILILT: Implicit Learning of Inverse Lithography Technologies	Unknown	PDF	N/A
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning	Unknown	PDF	N/A
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning	Unknown	PDF	N/A
Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment	Unknown	PDF	N/A
Parameter-Efficient Fine-Tuning with Controls	Unknown	PDF	N/A
Deep Regression Representation Learning with Topology	Unknown	PDF	N/A
Understanding Unimodal Bias in Multimodal Deep Linear Networks	Unknown	PDF	N/A
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark	Unknown	PDF	N/A
S3O: A Dual-Phase Approach for Reconstructing Dynamic Shape and Skeleton of Articulated Objects from Single Monocular Video	Unknown	PDF	N/A
Understanding and Diagnosing Deep Reinforcement Learning	Unknown	PDF	N/A
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation	Unknown	PDF	N/A
Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering	Unknown	PDF	N/A
UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis	Unknown	PDF	N/A
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training	Unknown	PDF	N/A
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions	Unknown	PDF	N/A
Wukong: Towards a Scaling Law for Large-Scale Recommendation	Unknown	PDF	N/A
Nonparametric Teaching of Implicit Neural Representations	Unknown	PDF	N/A
Sparse-to-dense Multimodal Image Registration via Multi-Task Learning	Unknown	PDF	N/A
In-Context Principle Learning from Mistakes	Unknown	PDF	N/A
A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization	Unknown	PDF	N/A
Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models	Unknown	PDF	N/A
Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models	Unknown	PDF	N/A
Online Resource Allocation with Non-Stationary Customers	Unknown	PDF	N/A
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics	Unknown	PDF	N/A
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks	Unknown	PDF	N/A
Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning	Unknown	PDF	N/A
Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning	Unknown	PDF	N/A
Switchable Decision: Dynamic Neural Generation Networks	Unknown	PDF	N/A
Interpreting and Improving Large Language Models in Arithmetic Calculation	Unknown	PDF	N/A
GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs	Unknown	PDF	N/A
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data	Unknown	PDF	N/A
Exploring the Benefit of Activation Sparsity in Pre-training	Unknown	PDF	N/A
Causal Representation Learning from Multiple Distributions: A General Setting	Unknown	PDF	N/A
FESSNC: Fast Exponentially Stable and Safe Neural Controller	Unknown	PDF	N/A
Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective	Unknown	PDF	N/A
Minimax Optimality of Score-based Diffusion Models: Beyond the Density Lower Bound Assumptions	Unknown	PDF	N/A
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness	Unknown	PDF	N/A
Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets	Unknown	PDF	N/A
Distributionally Robust Data Valuation	Unknown	PDF	N/A
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization	Unknown	PDF	N/A
Efficient Contextual Bandits with Uninformed Feedback Graphs	Unknown	PDF	N/A
Efficient Denoising Diffusion via Probabilistic Masking	Unknown	PDF	N/A
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases	Unknown	PDF	N/A
Uncertainty-Aware Reward-Free Exploration with General Function Approximation	Unknown	PDF	N/A
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize	Unknown	PDF	N/A
On the Expressive Power of Spectral Invariant Graph Neural Networks	Unknown	PDF	N/A
Neural Jump-Diffusion Temporal Point Processes	Unknown	PDF	N/A
Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization	Unknown	PDF	N/A
Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation	Unknown	PDF	N/A
Position: Measure Dataset Diversity, Don't Just Claim It	Unknown	PDF	N/A
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning	Unknown	PDF	N/A
Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence	Unknown	PDF	N/A
Spider: A Unified Framework for Context-dependent Concept Segmentation	Unknown	PDF	N/A
Rethinking Adversarial Robustness in the Context of the Right to be Forgotten	Unknown	PDF	N/A
Quantum Implicit Neural Representations	Unknown	PDF	N/A
Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective	Unknown	PDF	N/A
A Statistical Theory of Regularization-Based Continual Learning	Unknown	PDF	N/A
Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity	Unknown	PDF	N/A
Double-Step Alternating Extragradient with Increasing Timescale Separation for Finding Local Minimax Points: Provable Improvements	Unknown	PDF	N/A
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents	Unknown	PDF	N/A
LangCell: Language-Cell Pre-training for Cell Identity Understanding	Unknown	PDF	N/A
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting	Unknown	PDF	N/A
Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics	Unknown	PDF	N/A
Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale	Unknown	PDF	N/A
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss	Unknown	PDF	N/A
Conformal Predictions under Markovian Data	Unknown	PDF	N/A
Learning Latent Space Hierarchical EBM Diffusion Models	Unknown	PDF	N/A
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems	Unknown	PDF	N/A
On Prompt-Driven Safeguarding for Large Language Models	Unknown	PDF	N/A
Self-Infilling Code Generation	Unknown	PDF	N/A
ERQ: Error Reduction for Post-Training Quantization of Vision Transformers	Unknown	PDF	N/A
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret	Unknown	PDF	N/A
GNNs Also Deserve Editing, and They Need It More Than Once	Unknown	PDF	N/A
Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference	Unknown	PDF	N/A
On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm	Unknown	PDF	N/A
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning	Unknown	PDF	N/A
Pedestrian Attribute Recognition as Label-balanced Multi-label Learning	Unknown	PDF	N/A
Conformalized Adaptive Forecasting of Heterogeneous Trajectories	Unknown	PDF	N/A
Sequential Kernel Goodness-of-fit Testing	Unknown	PDF	N/A
RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation	Unknown	PDF	N/A
CurBench: Curriculum Learning Benchmark	Unknown	PDF	N/A
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting	Unknown	PDF	N/A
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process	Unknown	PDF	N/A
DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection	Unknown	PDF	N/A
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL	Unknown	PDF	N/A
Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm	Unknown	PDF	N/A
Score identity Distillation: Exponentially Fast Distillation of Pretrained Diffusion Models for One-Step Generation	Unknown	PDF	N/A
Exploring Training on Heterogeneous Data with Mixture of Low-rank Adapters	Unknown	PDF	N/A
Iterative Search Attribution for Deep Neural Networks	Unknown	PDF	N/A
Generative Active Learning for Long-tailed Instance Segmentation	Unknown	PDF	N/A
Iterative Data Smoothing: Mitigating Reward Overfitting and Overoptimization in RLHF	Unknown	PDF	N/A
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model	Unknown	PDF	N/A
Switched Flow Matching: Eliminating Singularities via Switching ODEs	Unknown	PDF	N/A
Toward Availability Attacks in 3D Point Clouds	Unknown	PDF	N/A
Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints	Unknown	PDF	N/A
Online Learning in Betting Markets: Profit versus Prediction	Unknown	PDF	N/A
Dynamic Evaluation of Large Language Models by Meta Probing Agents	Unknown	PDF	N/A
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection	Unknown	PDF	N/A
Translation Equivariant Transformer Neural Processes	Unknown	PDF	N/A
Language Models Represent Beliefs of Self and Others	Unknown	PDF	N/A
Stealthy Imitation: Reward-guided Environment-free Policy Stealing	Unknown	PDF	N/A
Reinformer: Max-Return Sequence Modeling for Offline RL	Unknown	PDF	N/A
Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration	Unknown	PDF	N/A
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption	Unknown	PDF	N/A
Viewing Transformers Through the Lens of Long Convolutions Layers	Unknown	PDF	N/A
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models	Unknown	PDF	N/A
Compositional Few-Shot Class-Incremental Learning	Unknown	PDF	N/A
BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization	Unknown	PDF	N/A
Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning	Unknown	PDF	N/A
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates	Unknown	PDF	N/A
Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models	Unknown	PDF	N/A
Visual Representation Learning with Stochastic Frame Prediction	Unknown	PDF	N/A
Exploration and Anti-Exploration with Distributional Random Network Distillation	Unknown	PDF	N/A
Position: Is machine learning good or bad for the natural sciences?	Unknown	PDF	N/A
Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data	Unknown	PDF	N/A
Sample Complexity Bounds for Estimating Probability Divergences under Invariances	Unknown	PDF	N/A
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA	Unknown	PDF	N/A
On the Embedding Collapse when Scaling up Recommendation Models	Unknown	PDF	N/A
Revisiting Character-level Adversarial Attacks for Language Models	Unknown	PDF	N/A
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?	Unknown	PDF	N/A
Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training	Unknown	PDF	N/A
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game	Unknown	PDF	N/A
COPAL: Continual Pruning in Large Language Generative Models	Unknown	PDF	N/A
Position: Understanding LLMs Requires More Than Statistical Generalization	Unknown	PDF	N/A
Understanding Inter-Concept Relationships in Concept-Based Models	Unknown	PDF	N/A
Online Isolation Forest	Unknown	PDF	N/A
Multimodal Prototyping for cancer survival prediction	Unknown	PDF	N/A
Differentially Private Sum-Product Networks	Unknown	PDF	N/A
Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference	Unknown	PDF	N/A
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference	Unknown	PDF	N/A
Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements	Unknown	PDF	N/A
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation	Unknown	PDF	N/A
Expand-and-Cluster: Parameter Recovery of Neural Networks	Unknown	PDF	N/A
REMEDI: Corrective Transformations for Improved Neural Entropy Estimation	Unknown	PDF	N/A
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF	Unknown	PDF	N/A
Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning	Unknown	PDF	N/A
Counterfactual Metarules for Local and Global Recourse	Unknown	PDF	N/A
UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs	Unknown	PDF	N/A
RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback	Unknown	PDF	N/A
Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction	Unknown	PDF	N/A
Unmasking Vulnerabilities: Cardinality Sketches under Adaptive Inputs	Unknown	PDF	N/A
StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation	Unknown	PDF	N/A
Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet	Unknown	PDF	N/A
Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization	Unknown	PDF	N/A
Knowledge-aware Reinforced Language Models for Protein Directed Evolution	Unknown	PDF	N/A
Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models	Unknown	PDF	N/A
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning	Unknown	PDF	N/A
DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistency	Unknown	PDF	N/A
DNCs Require More Planning Steps	Unknown	PDF	N/A
I/O Complexity of Attention, or How Optimal is FlashAttention?	Unknown	PDF	N/A
Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?	Unknown	PDF	N/A
Lookbehind-SAM: k steps back, 1 step forward	Unknown	PDF	N/A
A Distributional Analogue to the Successor Representation	Unknown	PDF	N/A
From Neurons to Neutrons: A Case Study in Interpretability	Unknown	PDF	N/A
A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks	Unknown	PDF	N/A
Do Transformer World Models Give Better Policy Gradients?	Unknown	PDF	N/A
Conformal prediction for multi-dimensional time series by ellipsoidal sets	Unknown	PDF	N/A
Conditionally-Conjugate Gaussian Process Factor Analysis for Spike Count Data via Data Augmentation	Unknown	PDF	N/A
Understanding the Training Speedup from Sampling with Approximate Losses	Unknown	PDF	N/A
Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation	Unknown	PDF	N/A
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills	Unknown	PDF	N/A
Mathematical Framework for Online Social Media Auditing	Unknown	PDF	N/A
Low-Rank Similarity Mining for Multimodal Dataset Distillation	Unknown	PDF	N/A
MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations	Unknown	PDF	N/A
Enforcing Constraints in RNA Secondary Structure Predictions: A Post-Processing Framework Based on the Assignment Problem	Unknown	PDF	N/A
Reshape and Adapt for Output Quantization (RAOQ): Quantization-aware Training for In-memory Computing Systems	Unknown	PDF	N/A
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding	Unknown	PDF	N/A
How Do Nonlinear Transformers Learn and Generalize in In-Context Learning?	Unknown	PDF	N/A
Catapults in SGD: spikes in the training loss and their impact on generalization through feature learning	Unknown	PDF	N/A
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data	Unknown	PDF	N/A
Controllable Prompt Tuning For Balancing Group Distributional Robustness	Unknown	PDF	N/A
Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized	Unknown	PDF	N/A
Compositional Text-to-Image Generation with Dense Blob Representations	Unknown	PDF	N/A
Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding	Unknown	PDF	N/A
Deep Functional Factor Models: Forecasting High-Dimensional Functional Time Series via Bayesian Nonparametric Factorization	Unknown	PDF	N/A
A Neural-Preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions	Unknown	PDF	N/A
Diffusion Posterior Sampling is Computationally Intractable	Unknown	PDF	N/A
PerceptAnon: Exploring the Human Perception of Image Anonymization Beyond Pseudonymization for GDPR	Unknown	PDF	N/A
Do Topological Characteristics Help in Knowledge Distillation?	Unknown	PDF	N/A
Stochastic Optimization with Arbitrary Recurrent Data Sampling	Unknown	PDF	N/A
Partially Stochastic Infinitely Deep Bayesian Neural Networks	Unknown	PDF	N/A
Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning	Unknown	PDF	N/A
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach	Unknown	PDF	N/A
Centralized Selection with Preferences in the Presence of Biases	Unknown	PDF	N/A
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization	Unknown	PDF	N/A
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems	Unknown	PDF	N/A
Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration	Unknown	PDF	N/A
BAT: Learning to Reason about Spatial Sounds with Large Language Models	Unknown	PDF	N/A
Rethinking Transformers in Solving POMDPs	Unknown	PDF	N/A
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization	Unknown	PDF	N/A
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions	Unknown	PDF	N/A
Embodied CoT Distillation From LLM To Off-the-shelf Agents	Unknown	PDF	N/A
A General Framework for Sequential Decision-Making under Adaptivity Constraints	Unknown	PDF	N/A
How Does Goal Relabeling Improve Sample Efficiency?	Unknown	PDF	N/A
Theory of Consistency Diffusion Models: Distribution Estimation Meets Fast Sampling	Unknown	PDF	N/A
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis	Unknown	PDF	N/A
Enhancing Adversarial Robustness in SNNs with Sparse Gradients	Unknown	PDF	N/A
Layerwise Change of Knowledge in Neural Networks	Unknown	PDF	N/A
Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts	Unknown	PDF	N/A
On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis	Unknown	PDF	N/A
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers	Unknown	PDF	N/A
EMC$^2$: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence	Unknown	PDF	N/A
Smoothness Adaptive Hypothesis Transfer Learning	Unknown	PDF	N/A
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection	Unknown	PDF	N/A
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers	Unknown	PDF	N/A
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer	Unknown	PDF	N/A
Interacting Diffusion Processes for Event Sequence Forecasting	Unknown	PDF	N/A
Recurrent Early Exits for Federated Learning with Heterogeneous Clients	Unknown	PDF	N/A
On Interpolating Experts and Multi-Armed Bandits	Unknown	PDF	N/A
Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning	Unknown	PDF	N/A
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling	Unknown	PDF	N/A
NeuralIndicator: Implicit Surface Reconstruction from Neural Indicator Priors	Unknown	PDF	N/A
On the Calibration of Human Pose Estimation	Unknown	PDF	N/A
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI	Unknown	PDF	N/A
Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection	Unknown	PDF	N/A
The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling	Unknown	PDF	N/A
RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning	Unknown	PDF	N/A
Smooth Tchebycheff Scalarization for Multi-Objective Optimization	Unknown	PDF	N/A
DFD: Distilling the Feature Disparity Differently for Detectors	Unknown	PDF	N/A
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model	Unknown	PDF	N/A
In-Context Unlearning: Language Models as Few-Shot Unlearners	Unknown	PDF	N/A
Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences	Unknown	PDF	N/A
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs	Unknown	PDF	N/A
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions	Unknown	PDF	N/A
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations	Unknown	PDF	N/A
Auto-Linear Phenomenon in Subsurface Imaging	Unknown	PDF	N/A
Accelerating Parallel Sampling of Diffusion Models	Unknown	PDF	N/A
From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems	Unknown	PDF	N/A
Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts	Unknown	PDF	N/A
DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)	Unknown	PDF	N/A
Distributed Bilevel Optimization with Communication Compression	Unknown	PDF	N/A
Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks	Unknown	PDF	N/A
On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions	Unknown	PDF	N/A
On the Weight Dynamics of Deep Normalized Networks	Unknown	PDF	N/A
Jacobian Regularizer-based Neural Granger Causality	Unknown	PDF	N/A
Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations	Unknown	PDF	N/A
Projecting Molecules into Synthesizable Chemical Spaces	Unknown	PDF	N/A
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts	Unknown	PDF	N/A
Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining	Unknown	PDF	N/A
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding	Unknown	PDF	N/A
Don’t Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget	Unknown	PDF	N/A
Causal Inference from Competing Treatments	Unknown	PDF	N/A
Denoising Autoregressive Representation Learning	Unknown	PDF	N/A
On a Neural Implementation of Brenier's Polar Factorization	Unknown	PDF	N/A
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization	Unknown	PDF	N/A
Privacy Attacks in Decentralized Learning	Unknown	PDF	N/A
Membership Inference Attacks on Diffusion Models via Quantile Regression	Unknown	PDF	N/A
Hybrid Neural Representations for Spherical Data	Unknown	PDF	N/A
Premise Order Matters in Reasoning with Large Language Models	Unknown	PDF	N/A
Graph As Point Set	Unknown	PDF	N/A
Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games	Unknown	PDF	N/A
SparQ Attention: Bandwidth-Efficient LLM Inference	Unknown	PDF	N/A
An Analysis of Linear Time Series Forecasting Models	Unknown	PDF	N/A
Adaptive Stabilization Based on Machine Learning for Column Generation	Unknown	PDF	N/A
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning	Unknown	PDF	N/A
Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective	Unknown	PDF	N/A
Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving	Unknown	PDF	N/A
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning	Unknown	PDF	N/A
Optimizing Watermarks for Large Language Models	Unknown	PDF	N/A
A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs	Unknown	PDF	N/A
Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup	Unknown	PDF	N/A
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models	Unknown	PDF	N/A
Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm	Unknown	PDF	N/A
Equivariant Diffusion for Crystal Structure Prediction	Unknown	PDF	N/A
Online Variational Sequential Monte Carlo	Unknown	PDF	N/A
Generalized Preference Optimization: A Unified Approach to Offline Alignment	Unknown	PDF	N/A
Leveraging VLM-Based Pipelines to Annotate 3D Objects	Unknown	PDF	N/A
Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach	Unknown	PDF	N/A
MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data	Unknown	PDF	N/A
DiffDA: a Diffusion model for weather-scale Data Assimilation	Unknown	PDF	N/A
Understanding Heterophily for Graph Neural Networks	Unknown	PDF	N/A
The Stronger the Diffusion Model, the Easier the Backdoor: Data Poisoning to Induce Copyright BreachesWithout Adjusting Finetuning Pipeline	Unknown	PDF	N/A
Dynamic Spectral Clustering with Provable Approximation Guarantee	Unknown	PDF	N/A
Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework	Unknown	PDF	N/A
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation	Unknown	PDF	N/A
On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning	Unknown	PDF	N/A
Rich-Observation Reinforcement Learning with Continuous Latent Dynamics	Unknown	PDF	N/A
Ai-sampler: Adversarial Learning of Markov kernels with involutive maps	Unknown	PDF	N/A
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations	Unknown	PDF	N/A
Sparse Dimensionality Reduction Revisited	Unknown	PDF	N/A
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization	Unknown	PDF	N/A
Subhomogeneous Deep Equilibrium Models	Unknown	PDF	N/A
Speech Self-Supervised Learning Using Diffusion Model Synthetic Data	Unknown	PDF	N/A
RoboDreamer: Learning Compositional World Models for Robot Imagination	Unknown	PDF	N/A
ContPhy: Continuum Physical Concept Learning and Reasoning from Videos	Unknown	PDF	N/A
3D-VLA: A 3D Vision-Language-Action Generative World Model	Unknown	PDF	N/A
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation	Unknown	PDF	N/A
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models	Unknown	PDF	N/A
Compositional Image Decomposition with Diffusion Models	Unknown	PDF	N/A
Diffusion Rejection Sampling	Unknown	PDF	N/A
Information-Directed Pessimism for Offline Reinforcement Learning	Unknown	PDF	N/A
Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold	Unknown	PDF	N/A
Partial Optimality in the Linear Ordering Problem	Unknown	PDF	N/A
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials	Unknown	PDF	N/A
Differentially Private Domain Adaptation with Theoretical Guarantees	Unknown	PDF	N/A
Differentially Private Worst-group Risk Minimization	Unknown	PDF	N/A
Time Series Diffusion in the Frequency Domain	Unknown	PDF	N/A
FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion	Unknown	PDF	N/A
Position: Optimization in SciML Should Employ the Function Space Geometry	Unknown	PDF	N/A
Memory Efficient Neural Processes via Constant Memory Attention Block	Unknown	PDF	N/A
Box Facets and Cut Facets of Lifted Multicut Polytopes	Unknown	PDF	N/A
Improving Computational Complexity in Statistical Models with Local Curvature Information	Unknown	PDF	N/A
Online Algorithms with Uncertainty-Quantified Predictions	Unknown	PDF	N/A
A Statistical Framework for Data-dependent Retrieval-Augmented Models	Unknown	PDF	N/A
A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks	Unknown	PDF	N/A
Trained Random Forests Completely Reveal your Dataset	Unknown	PDF	N/A
Generalization Analysis of Deep Non-linear Matrix Completion	Unknown	PDF	N/A
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers	Unknown	PDF	N/A
R2E: Turning any Github Repository into a Programming Agent Environment	Unknown	PDF	N/A
Enhancing Value Function Estimation through First-Order State-Action Dynamics in Offline Reinforcement Learning	Unknown	PDF	N/A
Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning	Unknown	PDF	N/A
Verification of Machine Unlearning is Fragile	Unknown	PDF	N/A
Towards Certified Unlearning for Deep Neural Networks	Unknown	PDF	N/A
DisCo-Diff: Enhancing Continuous Diffusion Models with Discrete Latents	Unknown	PDF	N/A
Dirichlet Flow Matching with Applications to DNA Sequence Design	Unknown	PDF	N/A
Reward Shaping for Reinforcement Learning with An Assistant Reward Agent	Unknown	PDF	N/A
Human Alignment of Large Language Models through Online Preference Optimisation	Unknown	PDF	N/A
Flora: Low-Rank Adapters Are Secretly Gradient Compressors	Unknown	PDF	N/A
Expressivity and Generalization: Fragment-Biases for Molecular GNNs	Unknown	PDF	N/A
SelfIE: Self-Interpretation of Large Language Model Embeddings	Unknown	PDF	N/A
Listenable Maps for Audio Classifiers	Unknown	PDF	N/A
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs	Unknown	PDF	N/A
Unsupervised Parameter-free Simplicial Representation Learning with Scattering Transforms	Unknown	PDF	N/A
Regularized Q-learning through Robust Averaging	Unknown	PDF	N/A
Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities	Unknown	PDF	N/A
Efficient Precision and Recall Metrics for Assessing Generative Models using Hubness-aware Sampling	Unknown	PDF	N/A
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling	Unknown	PDF	N/A
Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation	Unknown	PDF	N/A
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining	Unknown	PDF	N/A
Differentially Private Post-Processing for Fair Regression	Unknown	PDF	N/A
An Empirical Study Into What Matters for Calibrating Vision-Language Models	Unknown	PDF	N/A
Position: Automatic Environment Shaping is the Next Frontier in RL	Unknown	PDF	N/A
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning	Unknown	PDF	N/A
Evaluating Model Bias Requires Characterizing its Mistakes	Unknown	PDF	N/A
Probabilistic Subgoal Representations for Hierarchical Reinforcement Learning	Unknown	PDF	N/A
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?	Unknown	PDF	N/A
Image Fusion via Vision-Language Model	Unknown	PDF	N/A
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss	Unknown	PDF	N/A
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models	Unknown	PDF	N/A
A Computational Framework for Solving Wasserstein Lagrangian Flows	Unknown	PDF	N/A
Contextual Feature Selection with Conditional Stochastic Gates	Unknown	PDF	N/A
Weisfeiler Leman for Euclidean Equivariant Machine Learning	Unknown	PDF	N/A
Learning to Scale Logits for Temperature-Conditional GFlowNets	Unknown	PDF	N/A
Learning in Feature Spaces via Coupled Covariances: Asymmetric Kernel SVD and Nyström method	Unknown	PDF	N/A
Reinforcement Learning and Regret Bounds for Admission Control	Unknown	PDF	N/A
Large Scale Dataset Distillation with Domain Shift	Unknown	PDF	N/A
OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models	Unknown	PDF	N/A
Autoformalizing Euclidean Geometry	Unknown	PDF	N/A
Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design	Unknown	PDF	N/A
QuIP$#$: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks	Unknown	PDF	N/A
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis	Unknown	PDF	N/A
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo	Unknown	PDF	N/A
Revealing Vision-Language Integration in the Brain with Multimodal Networks	Unknown	PDF	N/A
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability	Unknown	PDF	N/A
Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series	Unknown	PDF	N/A
Saliency strikes back: How filtering out high frequencies improves white-box explanations	Unknown	PDF	N/A
Switching the Loss Reduces the Cost in Batch Reinforcement Learning	Unknown	PDF	N/A
Sampling-based Multi-dimensional Recalibration	Unknown	PDF	N/A
NExT: Teaching Large Language Models to Reason about Code Execution	Unknown	PDF	N/A
Time Weaver: A Conditional Time Series Generation Model	Unknown	PDF	N/A
Hierarchical Novelty Detection via Fine-Grained Evidence Allocation	Unknown	PDF	N/A
Executable Code Actions Elicit Better LLM Agents	Unknown	PDF	N/A
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision	Unknown	PDF	N/A
PANDA: Expanded Width-Aware Message Passing Beyond Rewiring	Unknown	PDF	N/A
Towards Efficient Training and Evaluation of Robust Models against $l_0$ Bounded Adversarial Perturbations	Unknown	PDF	N/A
Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research	Unknown	PDF	N/A
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition	Unknown	PDF	N/A
MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance	Unknown	PDF	N/A
Uniformly Stable Algorithms for Adversarial Training and Beyond	Unknown	PDF	N/A
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization	Unknown	PDF	N/A
Position: Intent-aligned AI Systems Must Optimize for Agency Preservation	Unknown	PDF	N/A
Model-Based Minimum Bayes Risk Decoding for Text Generation	Unknown	PDF	N/A
On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity	Unknown	PDF	N/A
Minimum-Norm Interpolation Under Covariate Shift	Unknown	PDF	N/A
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models	Unknown	PDF	N/A
Collage: Light-Weight Low-Precision Strategy for LLM Training	Unknown	PDF	N/A
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations	Unknown	PDF	N/A
Evaluating Quantized Large Language Models	Unknown	PDF	N/A
PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design	Unknown	PDF	N/A
First-Order Manifold Data Augmentation for Regression Learning	Unknown	PDF	N/A
Recurrent Distance Filtering for Graph Representation Learning	Unknown	PDF	N/A
Zero-Shot Unsupervised and Text-Based Audio Editing Using DDPM Inversion	Unknown	PDF	N/A
Feel-Good Thompson Sampling for Contextual Dueling Bandits	Unknown	PDF	N/A
Causal Discovery with Fewer Conditional Independence Tests	Unknown	PDF	N/A
What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis	Unknown	PDF	N/A
Exploiting Human-AI Dependence for Learning to Defer	Unknown	PDF	N/A
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency	Unknown	PDF	N/A
Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph	Unknown	PDF	N/A
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization	Unknown	PDF	N/A
Fundamental Limitations of Alignment in Large Language Models	Unknown	PDF	N/A
Flexible Residual Binarization for Image Super-Resolution	Unknown	PDF	N/A
SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic	Unknown	PDF	N/A
Predicting Dose-Response Curves with Deep Neural Networks	Unknown	PDF	N/A
Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization	Unknown	PDF	N/A
Causal Effect Identification in LiNGAM Models with Latent Confounders	Unknown	PDF	N/A
Transformers, parallel computation, and logarithmic depth	Unknown	PDF	N/A
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions	Unknown	PDF	N/A
Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration	Unknown	PDF	N/A
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation	Unknown	PDF	N/A
Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks	Unknown	PDF	N/A
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions	Unknown	PDF	N/A
Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement Learning	Unknown	PDF	N/A
Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks	Unknown	PDF	N/A
Implicit Representations for Constrained Image Segmentation	Unknown	PDF	N/A
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics	Unknown	PDF	N/A
When is Transfer Learning Possible?	Unknown	PDF	N/A
Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning	Unknown	PDF	N/A
Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction	Unknown	PDF	N/A
InferCept: Efficient Intercept Support for Augmented Large Language Model Inference	Unknown	PDF	N/A
Scalable Safe Policy Improvement for Factored Multi-Agent MDPs	Unknown	PDF	N/A
Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions	Unknown	PDF	N/A
Generalization Analysis for Multi-Label Learning	Unknown	PDF	N/A
On the sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery	Unknown	PDF	N/A
Coarse-To-Fine Tensor Trains for Compact Visual Representations	Unknown	PDF	N/A
How Smooth Is Attention?	Unknown	PDF	N/A
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits	Unknown	PDF	N/A
Lightweight Image Super-Resolution via Flexible Meta Pruning	Unknown	PDF	N/A
On the Nonlinearity of Layer Normalization	Unknown	PDF	N/A
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning	Unknown	PDF	N/A
Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints	Unknown	PDF	N/A
Sign Rank Limitations for Inner Product Graph Decoders	Unknown	PDF	N/A
LoCoCo: Dropping In Convolutions for Long Context Compression	Unknown	PDF	N/A
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases	Unknown	PDF	N/A
GenCO: Generating Diverse Designs with Combinatorial Constraints	Unknown	PDF	N/A
TravelPlanner: A Benchmark for Real-World Planning with Language Agents	Unknown	PDF	N/A
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection	Unknown	PDF	N/A
Dense Reward for Free in Reinforcement Learning from Human Feedback	Unknown	PDF	N/A
Training-Free Long-Context Scaling of Large Language Models	Unknown	PDF	N/A
MD tree: a model-diagnostic tree grown on loss landscape	Unknown	PDF	N/A
ReLU Network with Width $d+\mathcal{O}(1)$ Can Achieve Optimal Approximation Rate	Unknown	PDF	N/A
Characterizing ResNet's Universal Approximation Capability	Unknown	PDF	N/A
Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback	Unknown	PDF	N/A
PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition	Unknown	PDF	N/A
Minimum Norm Interpolation Meets The Local Theory of Banach Spaces	Unknown	PDF	N/A
Individual Fairness in Graph Decomposition	Unknown	PDF	N/A
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models	Unknown	PDF	N/A
Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning	Unknown	PDF	N/A
Bivariate Causal Discovery using Bayesian Model Selection	Unknown	PDF	N/A
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback	Unknown	PDF	N/A
Adaptive Online Experimental Design for Causal Discovery	Unknown	PDF	N/A
Joint Composite Latent Space Bayesian Optimization	Unknown	PDF	N/A
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents	Unknown	PDF	N/A
Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models	Unknown	PDF	N/A
A Bayesian Approach to Online Planning	Unknown	PDF	N/A
Theoretical insights for diffusion guidance: A case study for Gaussian mixture models	Unknown	PDF	N/A
Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models	Unknown	PDF	N/A
Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning	Unknown	PDF	N/A
Position: Video as the New Language for Real-World Decision Making	Unknown	PDF	N/A
Agent Instructs Large Language Models to be General Zero-Shot Reasoners	Unknown	PDF	N/A
Aligning Transformers with Weisfeiler-Leman	Unknown	PDF	N/A
Position: Will we run out of data? Limits of LLM scaling based on human-generated data	Unknown	PDF	N/A
Learning Linear Block Error Correction Codes	Unknown	PDF	N/A
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints	Unknown	PDF	N/A
Local vs. Global Interpretability: A Computational Complexity Perspective	Unknown	PDF	N/A
A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle	Unknown	PDF	N/A
Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training	Unknown	PDF	N/A
Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems	Unknown	PDF	N/A
Efficient Value Iteration for s-rectangular Robust Markov Decision Processes	Unknown	PDF	N/A
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers	Unknown	PDF	N/A
Retrieval-Augmented Score Distillation for Text-to-3D Generation	Unknown	PDF	N/A
Parameter-Dependent Competitive Analysis for Online Capacitated Coverage Maximization through Boostings and Attenuations	Unknown	PDF	N/A
Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation	Unknown	PDF	N/A
Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems	Unknown	PDF	N/A
Stochastic Q-learning for Large Discrete Action Spaces	Unknown	PDF	N/A
Federated Combinatorial Multi-Agent Multi-Armed Bandits	Unknown	PDF	N/A
In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization	Unknown	PDF	N/A
Bayesian Optimization of Function Networks with Partial Evaluations	Unknown	PDF	N/A
Autoencoding Conditional Neural Processes for Representation Learning	Unknown	PDF	N/A
BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation	Unknown	PDF	N/A
A Touch, Vision, and Language Dataset for Multimodal Alignment	Unknown	PDF	N/A
Prospective Side Information for Latent MDPs	Unknown	PDF	N/A
On The Complexity of First-Order Methods in Stochastic Bilevel Optimization	Unknown	PDF	N/A
Neural NeRF Compression	Unknown	PDF	N/A
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning	Unknown	PDF	N/A
Graph Neural Network Explanations are Fragile	Unknown	PDF	N/A
AlphaFold Meets Flow Matching for Generating Protein Ensembles	Unknown	PDF	N/A
Generalization Error of Graph Neural Networks in the Mean-field Regime	Unknown	PDF	N/A
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models	Unknown	PDF	N/A
Explorations of Self-Repair in Language Models	Unknown	PDF	N/A
Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning	Unknown	PDF	N/A
Block Acceleration Without Momentum: On Optimal Stepsizes of Block Gradient Descent for Least-Squares	Unknown	PDF	N/A
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference	Unknown	PDF	N/A
Effective Federated Graph Matching	Unknown	PDF	N/A
Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources	Unknown	PDF	N/A
Explaining Graph Neural Networks via Structure-aware Interaction Index	Unknown	PDF	N/A
GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding	Unknown	PDF	N/A
Generative Conditional Distributions by Neural (Entropic) Optimal Transport	Unknown	PDF	N/A
Federated Continual Learning via Prompt-based Dual Knowledge Transfer	Unknown	PDF	N/A
An Interpretable Evaluation of Entropy-based Novelty of Generative Models	Unknown	PDF	N/A
xT: Nested Tokenization for Larger Context in Large Images	Unknown	PDF	N/A
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes	Unknown	PDF	N/A
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond	Unknown	PDF	N/A
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation	Unknown	PDF	N/A
Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization	Unknown	PDF	N/A
Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring	Unknown	PDF	N/A
BayOTIDE: Bayesian Online Multivariate Time Series Imputation with Functional Decomposition	Unknown	PDF	N/A
Toward Adaptive Reasoning in Large Language Models with Thought Rollback	Unknown	PDF	N/A
When Will Gradient Regularization Be Harmful?	Unknown	PDF	N/A
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs	Unknown	PDF	N/A
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities	Unknown	PDF	N/A
Privacy Profiles for Private Selection	Unknown	PDF	N/A
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning	Unknown	PDF	N/A
Improving Neural Logic Machines via Failure Reflection	Unknown	PDF	N/A
Less is More: on the Over-Globalizing Problem in Graph Transformers	Unknown	PDF	N/A
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization	Unknown	PDF	N/A
Stochastic Localization via Iterative Posterior Sampling	Unknown	PDF	N/A
Learning Modality Knowledge Alignment for Cross-Modality Transfer	Unknown	PDF	N/A
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness	Unknown	PDF	N/A
Differentiable Model Scaling using Differentiable Topk	Unknown	PDF	N/A
Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic	Unknown	PDF	N/A
LoRA Training in the NTK Regime has No Spurious Local Minima	Unknown	PDF	N/A
Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique	Unknown	PDF	N/A
Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective	Unknown	PDF	N/A
ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling	Unknown	PDF	N/A
Pruned Pivot: Correlation Clustering Algorithm for Dynamic, Parallel, and Local Computation Models	Unknown	PDF	N/A
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis	Unknown	PDF	N/A
Differentially Private Decentralized Learning with Random Walks	Unknown	PDF	N/A
Discovering Multiple Solutions from a Single Task in Offline Reinforcement Learning	Unknown	PDF	N/A
Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering	Unknown	PDF	N/A
Adaptive Robust Learning using Latent Bernoulli Variables	Unknown	PDF	N/A
Confidence Aware Inverse Constrained Reinforcement Learning	Unknown	PDF	N/A
Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation	Unknown	PDF	N/A
Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information	Unknown	PDF	N/A
Solving Poisson Equations using Neural Walk-on-Spheres	Unknown	PDF	N/A
Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization	Unknown	PDF	N/A
DoRA: Weight-Decomposed Low-Rank Adaptation	Unknown	PDF	N/A
Flextron: Many-in-One Flexible Large Language Model	Unknown	PDF	N/A
Bayesian Exploration Networks	Unknown	PDF	N/A
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers	Unknown	PDF	N/A
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark	Unknown	PDF	N/A
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis	Unknown	PDF	N/A
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning	Unknown	PDF	N/A
Learning to Compile Programs to Neural Networks	Unknown	PDF	N/A
FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees	Unknown	PDF	N/A
ELF: Encoding Speaker-Specific Latent Speech Feature for Speech Synthesis	Unknown	PDF	N/A
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms	Unknown	PDF	N/A
SAPG: Split and Aggregate Policy Gradients	Unknown	PDF	N/A
Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data	Unknown	PDF	N/A
Bridging Environments and Language with Rendering Functions and Vision-Language Models	Unknown	PDF	N/A
MoMo: Momentum Models for Adaptive Learning Rates	Unknown	PDF	N/A
Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling	Unknown	PDF	N/A
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts	Unknown	PDF	N/A
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention	Unknown	PDF	N/A
Gambling-Based Confidence Sequences for Bounded Random Vectors	Unknown	PDF	N/A
Operator SVD with Neural Networks via Nested Low-Rank Approximation	Unknown	PDF	N/A
Offline Actor-Critic Reinforcement Learning Scales to Large Models	Unknown	PDF	N/A
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments	Unknown	PDF	N/A
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs	Unknown	PDF	N/A
Hypergraph-enhanced Dual Semi-supervised Graph Classification	Unknown	PDF	N/A
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers	Unknown	PDF	N/A
Online Linear Regression in Dynamic Environments via Discounting	Unknown	PDF	N/A
PGODE: Towards High-quality System Dynamics Modeling	Unknown	PDF	N/A
Uncertainty for Active Learning on Graphs	Unknown	PDF	N/A
Decomposing and Editing Predictions by Modeling Model Computation	Unknown	PDF	N/A
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents	Unknown	PDF	N/A
Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs	Unknown	PDF	N/A
Asymptotics of feature learning in two-layer networks after one gradient-step	Unknown	PDF	N/A
Initial Guessing Bias: How Untrained Networks Favor Some Classes	Unknown	PDF	N/A
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks	Unknown	PDF	N/A
Taylor Videos for Action Recognition	Unknown	PDF	N/A
On Statistical Learning Theory for Distributional Inputs	Unknown	PDF	N/A
Structure-based drug design by denoising voxel grids	Unknown	PDF	N/A
Towards Realistic Model Selection for Semi-supervised Learning	Unknown	PDF	N/A
On the Second-Order Convergence of Biased Policy Gradient Algorithms	Unknown	PDF	N/A
Finite Time Logarithmic Regret Bounds for Self-Tuning Regulation	Unknown	PDF	N/A
Differentially Private Synthetic Data via Foundation Model APIs 2: Text	Unknown	PDF	N/A
A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation	Unknown	PDF	N/A
Non-parametric Online Change Point Detection on Riemannian Manifolds	Unknown	PDF	N/A
On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation	Unknown	PDF	N/A
DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation	Unknown	PDF	N/A
On Online Experimentation without Device Identifiers	Unknown	PDF	N/A
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization	Unknown	PDF	N/A
SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity	Unknown	PDF	N/A
Transferable Facial Privacy Protection against Blind Face Restoration via Domain-Consistent Adversarial Obfuscation	Unknown	PDF	N/A
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal	Unknown	PDF	N/A
Emergent Equivariance in Deep Ensembles	Unknown	PDF	N/A
Do Efficient Transformers Really Save Computation?	Unknown	PDF	N/A
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning	Unknown	PDF	N/A
GPTSwarm: Language Agents as Optimizable Graphs	Unknown	PDF	N/A
Provably Robust DPO: Aligning Language Models with Noisy Feedback	Unknown	PDF	N/A
Balanced Resonate-and-Fire Neurons	Unknown	PDF	N/A
Path-Guided Particle-based Sampling	Unknown	PDF	N/A
GFlowNet Training by Policy Gradients	Unknown	PDF	N/A
Logistic Variational Bayes Revisited	Unknown	PDF	N/A
Cross-domain Open-world Discovery	Unknown	PDF	N/A
Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers	Unknown	PDF	N/A
Fewer Truncations Improve Language Modeling	Unknown	PDF	N/A
Nesting Particle Filters for Experimental Design in Dynamical Systems	Unknown	PDF	N/A
An Information-Theoretic Analysis of In-Context Learning	Unknown	PDF	N/A
Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection	Unknown	PDF	N/A
Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning	Unknown	PDF	N/A
Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference	Unknown	PDF	N/A
A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models	Unknown	PDF	N/A
Beyond the Norms: Detecting Prediction Errors in Regression Models	Unknown	PDF	N/A
Improving Open-Ended Text Generation via Adaptive Decoding	Unknown	PDF	N/A
A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions	Unknown	PDF	N/A
Fast Timing-Conditioned Latent Audio Diffusion	Unknown	PDF	N/A
Overcoming the Optimizer's Curse: Obtaining Realistic Prescriptions from Neural Networks	Unknown	PDF	N/A
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts	Unknown	PDF	N/A
Causal Inference out of Control: Estimating Performativity without Treatment Randomization	Unknown	PDF	N/A
Differentiability and Optimization of Multiparameter Persistent Homology	Unknown	PDF	N/A
Hybrid Inverse Reinforcement Learning	Unknown	PDF	N/A
Cooperative Graph Neural Networks	Unknown	PDF	N/A
Generalization to New Sequential Decision Making Tasks with In-Context Learning	Unknown	PDF	N/A
Allocation Requires Prediction Only if Inequality Is Low	Unknown	PDF	N/A
Latent Space Symmetry Discovery	Unknown	PDF	N/A
Can Gaussian Sketching Converge Faster on a Preconditioned Landscape?	Unknown	PDF	N/A
Leverage Class-Specific Accuracy to Guide Data Generation for Improving Image Classification	Unknown	PDF	N/A
Data-free Neural Representation Compression with Riemannian Neural Dynamics	Unknown	PDF	N/A
FlowMM: Generating Materials with Riemannian Flow Matching	Unknown	PDF	N/A
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models	Unknown	PDF	N/A
Variational Schrödinger Diffusion Models	Unknown	PDF	N/A
Improving Transformers with Dynamically Composable Multi-Head Attention	Unknown	PDF	N/A
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics	Unknown	PDF	N/A
Learning Universal Predictors	Unknown	PDF	N/A
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products	Unknown	PDF	N/A
Efficient Exploration for LLMs	Unknown	PDF	N/A
Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors	Unknown	PDF	N/A
Amortizing Pragmatic Program Synthesis with Rankings	Unknown	PDF	N/A
Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture	Unknown	PDF	N/A
Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks	Unknown	PDF	N/A
Surprisingly Strong Performance Prediction with Neural Graph Features	Unknown	PDF	N/A
Stability and Multigroup Fairness in Ranking with Uncertain Predictions	Unknown	PDF	N/A
Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations	Unknown	PDF	N/A
GiLOT: Interpreting Generative Language Models via Optimal Transport	Unknown	PDF	N/A
Transitional Uncertainty with Layered Intermediate Predictions	Unknown	PDF	N/A
Prompt Sketching for Large Language Models	Unknown	PDF	N/A
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models	Unknown	PDF	N/A
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss	Unknown	PDF	N/A
Diversified Batch Selection for Training Acceleration	Unknown	PDF	N/A
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization	Unknown	PDF	N/A
A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights	Unknown	PDF	N/A
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits	Unknown	PDF	N/A
Scaling Laws for the Value of Individual Data Points in Machine Learning	Unknown	PDF	N/A
Learning and Forgetting Unsafe Examples in Large Language Models	Unknown	PDF	N/A
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering	Unknown	PDF	N/A
Prospector Heads: Generalized Feature Attribution for Large Models & Data	Unknown	PDF	N/A
How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis	Unknown	PDF	N/A
Selecting Large Language Model to Fine-tune via Rectified Scaling Law	Unknown	PDF	N/A
PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels	Unknown	PDF	N/A
Lyapunov-stable Neural Control for State and Output Feedback: A Novel Formulation	Unknown	PDF	N/A
When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractions	Unknown	PDF	N/A
Assessing Large Language Models on Climate Information	Unknown	PDF	N/A
The WMDP Benchmark: Measuring and Reducing Malicious Use with Unlearning	Unknown	PDF	N/A
Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities	Unknown	PDF	N/A
An Explicit Frame Construction for Normalizing 3D Point Clouds	Unknown	PDF	N/A
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models	Unknown	PDF	N/A
Distributional Bellman Operators over Mean Embeddings	Unknown	PDF	N/A
Comparing Graph Transformers via Positional Encodings	Unknown	PDF	N/A
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections	Unknown	PDF	N/A
DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving	Unknown	PDF	N/A
Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses	Unknown	PDF	N/A
Incremental Topological Ordering and Cycle Detection with Predictions	Unknown	PDF	N/A
Reweighted Solutions for Weighted Low Rank Approximation	Unknown	PDF	N/A
Coresets for Multiple $\ell_p$ Regression	Unknown	PDF	N/A
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching	Unknown	PDF	N/A
Learning from Integral Losses in Physics Informed Neural Networks	Unknown	PDF	N/A
Model-Free Robust $\phi$-Divergence Reinforcement Learning Using Both Offline and Online Data	Unknown	PDF	N/A
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)	Unknown	PDF	N/A
WAVES: Benchmarking the Robustness of Image Watermarks	Unknown	PDF	N/A
How Deep Do We Need: Accelerating Training and Inference of Neural ODEs via Control Perspective	Unknown	PDF	N/A
GPT-4V(ision) is a Generalist Web Agent, if Grounded	Unknown	PDF	N/A
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models	Unknown	PDF	N/A
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency	Unknown	PDF	N/A
Continuous Treatment Effects with Surrogate Outcomes	Unknown	PDF	N/A
Editing Partially Observable Networks via Graph Diffusion Models	Unknown	PDF	N/A
Meta Evidential Transformer for Few-Shot Open-Set Recognition	Unknown	PDF	N/A
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity	Unknown	PDF	N/A
NExT-Chat: An LMM for Chat, Detection and Segmentation	Unknown	PDF	N/A
CKGConv: General Graph Convolution with Continuous Kernels	Unknown	PDF	N/A
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind	Unknown	PDF	N/A
Position: Social Environment Design Should be Further Developed for AI-based Policy-Making	Unknown	PDF	N/A
CaPS: Collaborative and Private Synthetic Data Generation from Distributed Sources	Unknown	PDF	N/A
${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Grokking Group Multiplication with Cosets	Unknown	PDF	N/A
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews	Unknown	PDF	N/A
Cell2Sentence: Teaching Large Language Models the Language of Biology	Unknown	PDF	N/A
The Effect of Weight Precision on the Neuron Count in Deep ReLU Networks	Unknown	PDF	N/A
Augmenting Decision with Hypothesis in Reinforcement Learning	Unknown	PDF	N/A
Outlier-Efficient Hopfield Layers for Large Transformer-Based Models	Unknown	PDF	N/A
High-Dimensional Geometric Streaming for Nearly Low Rank Data	Unknown	PDF	N/A
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses	Unknown	PDF	N/A
Perturb-and-Project: Differentially Private Similarities and Marginals	Unknown	PDF	N/A
Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond	Unknown	PDF	N/A
A Field Guide for Pacing Budget and ROS Constraints	Unknown	PDF	N/A
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control	Unknown	PDF	N/A
Deep Networks Always Grok and Here is Why	Unknown	PDF	N/A
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint	Unknown	PDF	N/A
Contrastive Predict-and-Search for Mixed Integer Linear Programs	Unknown	PDF	N/A
Learning Decision Trees and Forests with Algorithmic Recourse	Unknown	PDF	N/A
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures	Unknown	PDF	N/A
AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training	Unknown	PDF	N/A
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation	Unknown	PDF	N/A
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients	Unknown	PDF	N/A
Bayesian Design Principles for Offline-to-Online Reinforcement Learning	Unknown	PDF	N/A
Differentiable Distributionally Robust Optimization Layers	Unknown	PDF	N/A
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks	Unknown	PDF	N/A
TimeX++: Learning Time-Series Explanations with Information Bottleneck	Unknown	PDF	N/A
Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs	Unknown	PDF	N/A
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models	Unknown	PDF	N/A
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI	Unknown	PDF	N/A
Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study	Unknown	PDF	N/A
Open-Domain Text Evaluation via Contrastive Distribution Methods	Unknown	PDF	N/A
DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models	Unknown	PDF	N/A
Listening to the noise: Blind Denoising with Gibbs Diffusion	Unknown	PDF	N/A
GATE: How to Keep Out Intrusive Neighbors	Unknown	PDF	N/A
End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations	Unknown	PDF	N/A
Larimar: Large Language Models with Episodic Memory Control	Unknown	PDF	N/A
What Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks	Unknown	PDF	N/A
Position: Data-driven Discovery with Large Generative Models	Unknown	PDF	N/A
Matrix Information Theory for Self-Supervised Learning	Unknown	PDF	N/A
Information Flow in Self-Supervised Learning	Unknown	PDF	N/A
Better & Faster Large Language Models via Multi-token Prediction	Unknown	PDF	N/A
ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data	Unknown	PDF	N/A
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks	Unknown	PDF	N/A
Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution	Unknown	PDF	N/A
Position: Open-Endedness is Essential for Artificial Superhuman Intelligence	Unknown	PDF	N/A
Debating with More Persuasive LLMs Leads to More Truthful Answers	Unknown	PDF	N/A
Genie: Generative Interactive Environments	Unknown	PDF	N/A
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations	Unknown	PDF	N/A
ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories	Unknown	PDF	N/A
Data-Efficient Molecular Generation with Hierarchical Textual Inversion	Unknown	PDF	N/A
All-in-one simulation-based inference	Unknown	PDF	N/A
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features	Unknown	PDF	N/A
Position: A Safe Harbor for AI Evaluation and Red Teaming	Unknown	PDF	N/A
Evaluation of Trajectory Distribution Predictions with Energy Score	Unknown	PDF	N/A
Position: Future Directions in the Theory of Graph Machine Learning	Unknown	PDF	N/A
Hierarchical Integral Probability Metrics: A distance on random probability measures with low sample complexity	Unknown	PDF	N/A
HexGen: Generative Inference of Large Language Model over Heterogeneous Environment	Unknown	PDF	N/A
Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience	Unknown	PDF	N/A
Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States	Unknown	PDF	N/A
Stochastic positional embeddings improve masked image modeling	Unknown	PDF	N/A
Differentially Private Representation Learning via Image Captioning	Unknown	PDF	N/A
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts	Unknown	PDF	N/A
Universality of Linear Recurrences Followed by Non-linear Projections: Finite-Width Guarantees and Benefits of Complex Eigenvalues	Unknown	PDF	N/A
PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer	Unknown	PDF	N/A
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box	Unknown	PDF	N/A
Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images	Unknown	PDF	N/A
Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving	Unknown	PDF	N/A
No Double Descent in Principal Component Regression: A High-Dimensional Analysis	Unknown	PDF	N/A
Dynamic Facility Location in High Dimensional Euclidean Spaces	Unknown	PDF	N/A
Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization	Unknown	PDF	N/A
Rethinking the Flat Minima Searching in Federated Learning	Unknown	PDF	N/A
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs	Unknown	PDF	N/A
Deconstructing the Goldilocks Zone of Neural Network Initialization	Unknown	PDF	N/A
AutoOS: Make Your OS More Powerful by Exploiting Large Language Models	Unknown	PDF	N/A
Prompt-based Visual Alignment for Zero-shot Policy Transfer	Unknown	PDF	N/A
Gradient-based Visual Explanation for Transformer-based CLIP	Unknown	PDF	N/A
Performance Bounds for Active Binary Testing with Information Maximization	Unknown	PDF	N/A
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping	Unknown	PDF	N/A
Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective	Unknown	PDF	N/A
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise	Unknown	PDF	N/A
A Fixed-Point Approach for Causal Generative Modeling	Unknown	PDF	N/A
Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention	Unknown	PDF	N/A
Conditional Language Learning with Context	Unknown	PDF	N/A
Getting the most out of your tokenizer for pre-training and domain adaptation	Unknown	PDF	N/A
Optimization without Retraction on the Random Generalized Stiefel Manifold	Unknown	PDF	N/A
Representing Molecules as Random Walks Over Interpretable Grammars	Unknown	PDF	N/A
Towards a Better Theoretical Understanding of Independent Subnetwork Training	Unknown	PDF	N/A
AegisFL: Efficient and Flexible Privacy-Preserving Byzantine-Robust Cross-silo Federated Learning	Unknown	PDF	N/A
One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment	Unknown	PDF	N/A
Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics	Unknown	PDF	N/A
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations	Unknown	PDF	N/A
Risk Aware Benchmarking of Large Language Models	Unknown	PDF	N/A
Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss	Unknown	PDF	N/A
Towards a Self-contained Data-driven Global Weather Forecasting Framework	Unknown	PDF	N/A
Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data	Unknown	PDF	N/A
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models	Unknown	PDF	N/A
S$\Omega$I: Score-based O-INFORMATION Estimation	Unknown	PDF	N/A
SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks	Unknown	PDF	N/A
DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning	Unknown	PDF	N/A
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection	Unknown	PDF	N/A
On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control	Unknown	PDF	N/A
Position: On the Possibilities of AI-Generated Text Detection	Unknown	PDF	N/A
PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling	Unknown	PDF	N/A
MaxMin-RLHF: Alignment with Diverse Human Preferences	Unknown	PDF	N/A
Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles	Unknown	PDF	N/A
Don't be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance	Unknown	PDF	N/A
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples	Unknown	PDF	N/A
Quantum Theory and Application of Contextual Optimal Transport	Unknown	PDF	N/A
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries	Unknown	PDF	N/A
Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency	Unknown	PDF	N/A
HyperFields: Towards Zero-Shot Generation of NeRFs from Text	Unknown	PDF	N/A
Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples	Unknown	PDF	N/A
AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training	Unknown	PDF	N/A
Active Ranking and Matchmaking, with Perfect Matchings	Unknown	PDF	N/A
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals	Unknown	PDF	N/A
Towards Neural Architecture Search through Hierarchical Generative Modeling	Unknown	PDF	N/A
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs	Unknown	PDF	N/A
Amortized Variational Deep Kernel Learning	Unknown	PDF	N/A
Disentanglement Learning via Topology	Unknown	PDF	N/A
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP	Unknown	PDF	N/A
Codebook Features: Sparse and Discrete Interpretability for Neural Networks	Unknown	PDF	N/A
Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics	Unknown	PDF	N/A
Position: Embracing Negative Results in Machine Learning	Unknown	PDF	N/A
Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination	Unknown	PDF	N/A
Learning Divergence Fields for Shift-Robust Graph Representations	Unknown	PDF	N/A
How Graph Neural Networks Learn: Lessons from Training Dynamics	Unknown	PDF	N/A
Graph Out-of-Distribution Detection Goes Neighborhood Shaping	Unknown	PDF	N/A
Stay on Topic with Classifier-Free Guidance	Unknown	PDF	N/A
Position: On the Societal Impact of Open Foundation Models	Unknown	PDF	N/A
Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition	Unknown	PDF	N/A
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data	Unknown	PDF	N/A
Evaluation of Test-Time Adaptation Under Computational Time Constraints	Unknown	PDF	N/A
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation	Unknown	PDF	N/A
An Empirical Study of Realized GNN Expressiveness	Unknown	PDF	N/A
Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning	Unknown	PDF	N/A
Understanding MLP-Mixer as a wide and sparse MLP	Unknown	PDF	N/A
Self-attention Networks Localize When QK-eigenspectrum Concentrates	Unknown	PDF	N/A
Faster Streaming and Scalable Algorithms for Finding Directed Dense Subgraphs in Large Graphs	Unknown	PDF	N/A
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency	Unknown	PDF	N/A
Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks	Unknown	PDF	N/A
Effect-Invariant Mechanisms for Policy Generalization	Unknown	PDF	N/A
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data	Unknown	PDF	N/A
Differentiable Combinatorial Scheduling at Scale	Unknown	PDF	N/A
Bottleneck-Minimal Indexing for Generative Document Retrieval	Unknown	PDF	N/A
Model-based Reinforcement Learning for Parameterized Action Spaces	Unknown	PDF	N/A
Efficient Mixture Learning in Black-Box Variational Inference	Unknown	PDF	N/A
Indirectly Parameterized Concrete Autoencoders	Unknown	PDF	N/A
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens	Unknown	PDF	N/A
STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment	Unknown	PDF	N/A
BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation	Unknown	PDF	N/A
Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation	Unknown	PDF	N/A
What is Dataset Distillation Learning?	Unknown	PDF	N/A
DPZero: Private Fine-Tuning of Language Models without Backpropagation	Unknown	PDF	N/A
MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation	Unknown	PDF	N/A
Sampling in Unit Time with Kernel Fisher-Rao Flow	Unknown	PDF	N/A
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks	Unknown	PDF	N/A
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity	Unknown	PDF	N/A
Quantum Positional Encodings for Graph Neural Networks	Unknown	PDF	N/A
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks	Unknown	PDF	N/A
Disentangled 3D Scene Generation with Layout Learning	Unknown	PDF	N/A
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices	Unknown	PDF	N/A
Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes	Unknown	PDF	N/A
A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces	Unknown	PDF	N/A
A Sparsity Principle for Partially Observable Causal Representation Learning	Unknown	PDF	N/A
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations	Unknown	PDF	N/A
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization	Unknown	PDF	N/A
Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy	Unknown	PDF	N/A
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data	Unknown	PDF	N/A
Major-Minor Mean Field Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Understanding Forgetting in Continual Learning with Linear Regression	Unknown	PDF	N/A
Quality-Diversity with Limited Resources	Unknown	PDF	N/A
Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback	Unknown	PDF	N/A
On the Independence Assumption in Neurosymbolic Learning	Unknown	PDF	N/A
diff History for Neural Language Agents	Unknown	PDF	N/A
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling	Unknown	PDF	N/A
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?	Unknown	PDF	N/A
CuTS: Customizable Tabular Synthetic Data Generation	Unknown	PDF	N/A
Instruction Tuning for Secure Code Generation	Unknown	PDF	N/A
Mimicking Better by Matching the Approximate Action Distribution	Unknown	PDF	N/A
Asymmetry in Low-Rank Adapters of Foundation Models	Unknown	PDF	N/A
Slicing Mutual Information Generalization Bounds for Neural Networks	Unknown	PDF	N/A
Position: Fundamental Limitations of LLM Censorship Necessitate New Approaches	Unknown	PDF	N/A
Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing	Unknown	PDF	N/A
Bifurcated Attention for Single-Context Large-Batch Sampling	Unknown	PDF	N/A
Breadth-First Exploration on Adaptive Grid for Reinforcement Learning	Unknown	PDF	N/A
Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence	Unknown	PDF	N/A
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training	Unknown	PDF	N/A
Learning to Model the World With Language	Unknown	PDF	N/A
The Merit of River Network Topology for Neural Flood Forecasting	Unknown	PDF	N/A
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation	Unknown	PDF	N/A
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making	Unknown	PDF	N/A
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making	Unknown	PDF	N/A
Disguised Copyright Infringement of Latent Diffusion Models	Unknown	PDF	N/A
Predictive Linear Online Tracking for Unknown Targets	Unknown	PDF	N/A
Learning Latent Dynamic Robust Representations for World Models	Unknown	PDF	N/A
Stealing part of a production language model	Unknown	PDF	N/A
Clifford-Steerable Convolutional Neural Networks	Unknown	PDF	N/A
Sub-token ViT Embedding via Stochastic Resonance Transformers	Unknown	PDF	N/A
Dynamic Metric Embedding into lp Space	Unknown	PDF	N/A
Graph2Tac: Online Representation Learning of Formal Math Concepts	Unknown	PDF	N/A
Diffusion Language Models Are Versatile Protein Learners	Unknown	PDF	N/A
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges	Unknown	PDF	N/A
Localizing Task Information for Improved Model Merging and Compression	Unknown	PDF	N/A
Detecting and Identifying Selection Structure in Sequential Data	Unknown	PDF	N/A
Data Engineering for Scaling Language Models to 128K Context	Unknown	PDF	N/A
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models	Unknown	PDF	N/A
The Emergence of Reproducibility and Consistency in Diffusion Models	Unknown	PDF	N/A
Accelerated Speculative Sampling Based on Tree Monte Carlo	Unknown	PDF	N/A
Random Latent Exploration for Deep Reinforcement Learning	Unknown	PDF	N/A
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning	Unknown	PDF	N/A
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs	Unknown	PDF	N/A
Active Statistical Inference	Unknown	PDF	N/A
Protein Conformation Generation via Force-Guided SE(3) Diffusion Models	Unknown	PDF	N/A
CHAI: Clustered Head Attention for Efficient LLM Inference	Unknown	PDF	N/A
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis	Unknown	PDF	N/A
Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration	Unknown	PDF	N/A
Policy-conditioned Environment Models are More Generalizable	Unknown	PDF	N/A
SILVER: Single-loop variance reduction and application to federated learning	Unknown	PDF	N/A
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution	Unknown	PDF	N/A
InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning	Unknown	PDF	N/A
Using Left and Right Brains Together: Towards Vision and Language Planning	Unknown	PDF	N/A
SMaRt: Improving GANs with Score Matching Regularity	Unknown	PDF	N/A
ODIN: Disentangled Reward Mitigates Hacking in RLHF	Unknown	PDF	N/A
Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference	Unknown	PDF	N/A
Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification	Unknown	PDF	N/A
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning	Unknown	PDF	N/A
On Discrete Prompt Optimization for Diffusion Models	Unknown	PDF	N/A
Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models	Unknown	PDF	N/A
Directly Denoising Diffusion Models	Unknown	PDF	N/A
Nearest Neighbour Score Estimators for Diffusion Generative Models	Unknown	PDF	N/A
What needs to go right for an induction head? A mechanistic study of in-context learning circuits and their formation	Unknown	PDF	N/A
Thermometer: Towards Universal Calibration for Large Language Models	Unknown	PDF	N/A
Out-of-Domain Generalization in Dynamical Systems Reconstruction	Unknown	PDF	N/A
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel	Unknown	PDF	N/A
VideoPoet: A Large Language Model for Zero-Shot Video Generation	Unknown	PDF	N/A
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications	Unknown	PDF	N/A
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning	Unknown	PDF	N/A
Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks	Unknown	PDF	N/A
New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming	Unknown	PDF	N/A
EvTexture: Event-driven Texture Enhancement for Video Super-Resolution	Unknown	PDF	N/A
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling	Unknown	PDF	N/A
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models	Unknown	PDF	N/A
Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning	Unknown	PDF	N/A
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths	Unknown	PDF	N/A
MOMENT: A Family of Open Time-series Foundation Models	Unknown	PDF	N/A
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization	Unknown	PDF	N/A
Counterfactual Image Editing	Unknown	PDF	N/A
Learning to Route Among Specialized Experts for Zero-Shot Generalization	Unknown	PDF	N/A
Fast Adversarial Attacks on Language Models In One GPU Minute	Unknown	PDF	N/A
Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty	Unknown	PDF	N/A
EvIL: Evolution Strategies for Generalisable Imitation Learning	Unknown	PDF	N/A
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining	Unknown	PDF	N/A
Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data	Unknown	PDF	N/A
On The Statistical Complexity of Offline Decision-Making	Unknown	PDF	N/A
Probabilistic Constrained Reinforcement Learning with Formal Interpretability	Unknown	PDF	N/A
Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds	Unknown	PDF	N/A
Variational Learning is Effective for Large Deep Networks	Unknown	PDF	N/A
Light and Optimal Schrödinger Bridge Matching	Unknown	PDF	N/A
Controlled Decoding from Language Models	Unknown	PDF	N/A
On the Duality Between Sharpness-Aware Minimization and Adversarial Training	Unknown	PDF	N/A
Liouville Flow Importance Sampler	Unknown	PDF	N/A
Offline Training of Language Model Agents with Functions as Learnable Weights	Unknown	PDF	N/A
Scaling Exponents Across Parameterizations and Optimizers	Unknown	PDF	N/A
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution	Unknown	PDF	N/A
SPADE: Sparsity-Guided Debugging for Deep Neural Networks	Unknown	PDF	N/A
Error Feedback Can Accurately Compress Preconditioners	Unknown	PDF	N/A
Extreme Compression of Large Language Models via Additive Quantization	Unknown	PDF	N/A
AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios	Unknown	PDF	N/A
LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views	Unknown	PDF	N/A
Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation	Unknown	PDF	N/A
Ameliorate Spurious Correlations in Dataset Condensation	Unknown	PDF	N/A
VideoPrism: A Foundational Visual Encoder for Video Understanding	Unknown	PDF	N/A
Particle Denoising Diffusion Sampler	Unknown	PDF	N/A
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits	Unknown	PDF	N/A
Optimistic Multi-Agent Policy Gradient	Unknown	PDF	N/A
How do Transformers Perform In-Context Autoregressive Learning ?	Unknown	PDF	N/A
Vision Transformers as Probabilistic Expansion from Learngene	Unknown	PDF	N/A
Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation	Unknown	PDF	N/A
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast	Unknown	PDF	N/A
Graph Positional and Structural Encoder	Unknown	PDF	N/A
Modeling Language Tokens as Functionals of Semantic Fields	Unknown	PDF	N/A
Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing	Unknown	PDF	N/A
Score-Based Causal Discovery of Latent Variable Causal Models	Unknown	PDF	N/A
DITTO: Diffusion Inference-Time T-Optimization for Music Generation	Unknown	PDF	N/A
Language Models as Science Tutors	Unknown	PDF	N/A
Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition	Unknown	PDF	N/A
Position: Technical Research and Talent is Needed for Effective AI Governance	Unknown	PDF	N/A
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models	Unknown	PDF	N/A
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms	Unknown	PDF	N/A
Integrated Hardware Architecture and Device Placement Search	Unknown	PDF	N/A
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization	Unknown	PDF	N/A
Fast Sampling-Based Sketches for Tensors	Unknown	PDF	N/A
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT	Unknown	PDF	N/A
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds	Unknown	PDF	N/A
Graph Neural Networks Use Graphs When They Shouldn't	Unknown	PDF	N/A
Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning	Unknown	PDF	N/A
AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors	Unknown	PDF	N/A
Data-free Distillation of Diffusion Models with Bootstrapping	Unknown	PDF	N/A
What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions	Unknown	PDF	N/A
Stochastic Interpolants with Data-Dependent Couplings	Unknown	PDF	N/A
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction	Unknown	PDF	N/A
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior	Unknown	PDF	N/A
Self-Rewarding Language Models	Unknown	PDF	N/A
COALA: A Practical and Vision-Centric Federated Learning Platform	Unknown	PDF	N/A
Arrows of Time for Large Language Models	Unknown	PDF	N/A
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization	Unknown	PDF	N/A
In-Context Learning Agents Are Asymmetric Belief Updaters	Unknown	PDF	N/A
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond	Unknown	PDF	N/A
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains	Unknown	PDF	N/A
FADAS: Towards Federated Adaptive Asynchronous Optimization	Unknown	PDF	N/A
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits	Unknown	PDF	N/A
A Closer Look at the Limitations of Instruction Tuning	Unknown	PDF	N/A
Sign Gradient Descent-based Neuronal Dynamics: ANN-to-SNN Conversion Beyond ReLU Network	Unknown	PDF	N/A
Theoretical Analysis of Learned Database Operations under Distribution Shift through Distribution Learnability	Unknown	PDF	N/A
Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback	Unknown	PDF	N/A
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning	Unknown	PDF	N/A
EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction	Unknown	PDF	N/A
Is Kernel Prediction More Powerful than Gating in Convolutional Neural Networks?	Unknown	PDF	N/A
Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization	Unknown	PDF	N/A
Incorporating probabilistic domain knowledge into deep multiple instance learning	Unknown	PDF	N/A
Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective	Unknown	PDF	N/A
In-Context Language Learning: Architectures and Algorithms	Unknown	PDF	N/A
Gated Linear Attention Transformers with Hardware-Efficient Training	Unknown	PDF	N/A
Agnostic Sample Compression Schemes for Regression	Unknown	PDF	N/A
ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations	Unknown	PDF	N/A
Dealing With Unbounded Gradients in Stochastic Saddle-point Optimization	Unknown	PDF	N/A
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation	Unknown	PDF	N/A
Masked Face Recognition with Generative-to-Discriminative Representations	Unknown	PDF	N/A
Recovering the Pre-Fine-Tuning Weights of Generative Models	Unknown	PDF	N/A
Plug-in Performative Optimization	Unknown	PDF	N/A
Understanding Finetuning for Factual Knowledge Extraction	Unknown	PDF	N/A
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge	Unknown	PDF	N/A
Estimating Canopy Height at Scale	Unknown	PDF	N/A
Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning	Unknown	PDF	N/A
Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities	Unknown	PDF	N/A
A Global Geometric Analysis of Maximal Coding Rate Reduction	Unknown	PDF	N/A
The Pitfalls of Next-Token Prediction	Unknown	PDF	N/A
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models	Unknown	PDF	N/A
Navigating Scaling Laws: Compute Optimality in Adaptive Model Training	Unknown	PDF	N/A
A Language Model’s Guide Through Latent Space	Unknown	PDF	N/A
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming	Unknown	PDF	N/A
One Meta-tuned Transformer is What You Need for Few-shot Learning	Unknown	PDF	N/A
Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought	Unknown	PDF	N/A
Conformal Prediction for Deep Classifier via Label Ranking	Unknown	PDF	N/A
Position: TrustLLM: Trustworthiness in Large Language Models	Unknown	PDF	N/A
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer	Unknown	PDF	N/A
Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems	Unknown	PDF	N/A
Representation Surgery: Theory and Practice of Affine Steering	Unknown	PDF	N/A
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models	Unknown	PDF	N/A
Accelerating Federated Learning with Quick Distributed Mean Estimation	Unknown	PDF	N/A
From Classification Accuracy to Proper Scoring Rules: Elicitability of Probabilistic Top List Predictions	Unknown	PDF	N/A
Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning	Unknown	PDF	N/A
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?	Unknown	PDF	N/A
Rate-Optimal Policy Optimization for Linear Markov Decision Processes	Unknown	PDF	N/A
Fast Peer Adaptation with Context-aware Exploration	Unknown	PDF	N/A
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text	Unknown	PDF	N/A
Learning to Infer Generative Template Programs for Visual Concepts	Unknown	PDF	N/A
Gibbs Sampling of Continuous Potentials on a Quantum Computer	Unknown	PDF	N/A
Dual Operating Modes of In-Context Learning	Unknown	PDF	N/A
D-Flow: Differentiating through Flows for Controlled Generation	Unknown	PDF	N/A
Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context	Unknown	PDF	N/A
Unveiling the Dynamics of Information Interplay in Supervised Learning	Unknown	PDF	N/A
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling	Unknown	PDF	N/A
Integrating Global Context Contrast and Local Sensitivity for Blind Image Quality Assessment	Unknown	PDF	N/A
Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivity	Unknown	PDF	N/A
Can AI Assistants Know What They Don't Know?	Unknown	PDF	N/A
Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery	Unknown	PDF	N/A
Classification Under Strategic Self-Selection	Unknown	PDF	N/A
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration	Unknown	PDF	N/A
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction	Unknown	PDF	N/A
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval	Unknown	PDF	N/A
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization	Unknown	PDF	N/A
Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning	Unknown	PDF	N/A
On the Role of Edge Dependency in Graph Generative Models	Unknown	PDF	N/A
Consistent Long-Term Forecasting of Ergodic Dynamical Systems	Unknown	PDF	N/A
Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models	Unknown	PDF	N/A
Learning to Explore in POMDPs with Informational Rewards	Unknown	PDF	N/A
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs	Unknown	PDF	N/A
Can Mamba Learn How To Learn? A Comparative Study on In-Context Learning Tasks	Unknown	PDF	N/A
Structure Your Data: Towards Semantic Graph Counterfactuals	Unknown	PDF	N/A
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning	Unknown	PDF	N/A
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws	Unknown	PDF	N/A
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need	Unknown	PDF	N/A
A Persuasive Approach to Combating Misinformation	Unknown	PDF	N/A
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem	Unknown	PDF	N/A
Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models	Unknown	PDF	N/A
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding	Unknown	PDF	N/A
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization	Unknown	PDF	N/A
Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity	Unknown	PDF	N/A
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling	Unknown	PDF	N/A
A Unified Adaptive Testing System Enabled by Hierarchical Structure Search	Unknown	PDF	N/A
Observable Propagation: Uncovering Feature Vectors in Transformers	Unknown	PDF	N/A
Complexity Matters: Feature Learning in the Presence of Spurious Correlations	Unknown	PDF	N/A
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty	Unknown	PDF	N/A
Copyright Traps for Large Language Models	Unknown	PDF	N/A
PAGER: Accurate Failure Characterization in Deep Regression Models	Unknown	PDF	N/A
Policy Evaluation for Variance in Average Reward Reinforcement Learning	Unknown	PDF	N/A
Interpreting Equivariant Representations	Unknown	PDF	N/A
Risk Estimation in a Markov Cost Process: Lower and Upper Bounds	Unknown	PDF	N/A
Physics and Lie symmetry informed Gaussian processes	Unknown	PDF	N/A
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension	Unknown	PDF	N/A
Robust Yet Efficient Conformal Prediction Sets	Unknown	PDF	N/A
On the Trajectory Regularity of ODE-based Diffusion Sampling	Unknown	PDF	N/A
CF-OPT: Counterfactual Explanations for Structured Prediction	Unknown	PDF	N/A
Differentiable Weightless Neural Networks	Unknown	PDF	N/A
Adaptive Observation Cost Control for Variational Quantum Eigensolvers	Unknown	PDF	N/A
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds	Unknown	PDF	N/A
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation	Unknown	PDF	N/A
Kepler codebook	Unknown	PDF	N/A
Tandem Transformers for Inference Efficient LLMs	Unknown	PDF	N/A

NIPS 2020

Title	Author	PDF_Link	Code_URL
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning	Unknown	PDF	N/A
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars	Unknown	PDF	N/A
Locally Differentially Private (Contextual) Bandits Learning	Unknown	PDF	N/A
Online Structured Meta-learning	Unknown	PDF	N/A
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics	Unknown	PDF	N/A
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement	Unknown	PDF	N/A
All Word Embeddings from One Embedding	Unknown	PDF	N/A
Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?	Unknown	PDF	N/A
Few-Cost Salient Object Detection with Adversarial-Paced Learning	Unknown	PDF	N/A
Counterfactual Predictions under Runtime Confounding	Unknown	PDF	N/A
BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits	Unknown	PDF	N/A
Multipole Graph Neural Operator for Parametric Partial Differential Equations	Unknown	PDF	N/A
Fast Unbalanced Optimal Transport on a Tree	Unknown	PDF	N/A
Baxter Permutation Process	Unknown	PDF	N/A
Generalized Boosting	Unknown	PDF	N/A
Probabilistic Active Meta-Learning	Unknown	PDF	N/A
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula	Unknown	PDF	N/A
Learning Retrospective Knowledge with Reverse Reinforcement Learning	Unknown	PDF	N/A
A Decentralized Parallel Algorithm for Training Generative Adversarial Nets	Unknown	PDF	N/A
Bayesian Optimization of Risk Measures	Unknown	PDF	N/A
Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation	Unknown	PDF	N/A
Batched Coarse Ranking in Multi-Armed Bandits	Unknown	PDF	N/A
Wavelet Flow: Fast Training of High Resolution Normalizing Flows	Unknown	PDF	N/A
Minimax Value Interval for Off-Policy Evaluation and Policy Optimization	Unknown	PDF	N/A
ShapeFlow: Learnable Deformation Flows Among 3D Shapes	Unknown	PDF	N/A
High-Dimensional Sparse Linear Bandits	Unknown	PDF	N/A
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition	Unknown	PDF	N/A
Certified Monotonic Neural Networks	Unknown	PDF	N/A
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games	Unknown	PDF	N/A
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation	Unknown	PDF	N/A
Towards Interpretable Natural Language Understanding with Explanations as Latent Variables	Unknown	PDF	N/A
Denoised Smoothing: A Provable Defense for Pretrained Classifiers	Unknown	PDF	N/A
BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images	Unknown	PDF	N/A
Faster DBSCAN via subsampled similarity queries	Unknown	PDF	N/A
First-Order Methods for Large-Scale Market Equilibrium Computation	Unknown	PDF	N/A
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings	Unknown	PDF	N/A
Multiscale Deep Equilibrium Models	Unknown	PDF	N/A
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings	Unknown	PDF	N/A
Representation Learning for Integrating Multi-domain Outcomes to Optimize Individualized Treatment	Unknown	PDF	N/A
On the Similarity between the Laplace and Neural Tangent Kernels	Unknown	PDF	N/A
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs	Unknown	PDF	N/A
Matérn Gaussian Processes on Riemannian Manifolds	Unknown	PDF	N/A
Adversarially Robust Streaming Algorithms via Differential Privacy	Unknown	PDF	N/A
A kernel test for quasi-independence	Unknown	PDF	N/A
Hybrid Variance-Reduced SGD Algorithms For Minimax Problems with Nonconvex-Linear Function	Unknown	PDF	N/A
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning	Unknown	PDF	N/A
Bayesian Pseudocoresets	Unknown	PDF	N/A
MPNet: Masked and Permuted Pre-training for Language Understanding	Unknown	PDF	N/A
Improving robustness against common corruptions by covariate shift adaptation	Unknown	PDF	N/A
Hard Shape-Constrained Kernel Machines	Unknown	PDF	N/A
Duality-Induced Regularizer for Tensor Factorization Based Knowledge Graph Completion	Unknown	PDF	N/A
A Closer Look at the Training Strategy for Modern Meta-Learning	Unknown	PDF	N/A
Set2Graph: Learning Graphs From Sets	Unknown	PDF	N/A
Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN	Unknown	PDF	N/A
Adapting Neural Architectures Between Domains	Unknown	PDF	N/A
A mean-field analysis of two-player zero-sum games	Unknown	PDF	N/A
Self-Supervised Graph Transformer on Large-Scale Molecular Data	Unknown	PDF	N/A
Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning	Unknown	PDF	N/A
Learning to search efficiently for causally near-optimal treatments	Unknown	PDF	N/A
Supervised Contrastive Learning	Unknown	PDF	N/A
Introducing Routing Uncertainty in Capsule Networks	Unknown	PDF	N/A
Implicit Regularization in Deep Learning May Not Be Explainable by Norms	Unknown	PDF	N/A
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems	Unknown	PDF	N/A
Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates	Unknown	PDF	N/A
Deep Energy-based Modeling of Discrete-Time Physics	Unknown	PDF	N/A
Learning outside the Black-Box: The pursuit of interpretable models	Unknown	PDF	N/A
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence	Unknown	PDF	N/A
Scalable Graph Neural Networks via Bidirectional Propagation	Unknown	PDF	N/A
Gradient Regularized V-Learning for Dynamic Treatment Regimes	Unknown	PDF	N/A
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training	Unknown	PDF	N/A
KFC: A Scalable Approximation Algorithm for $k$−center Fair Clustering	Unknown	PDF	N/A
Deep Multimodal Fusion by Channel Exchanging	Unknown	PDF	N/A
Minimax Classification with 0-1 Loss and Performance Guarantees	Unknown	PDF	N/A
Self-Distillation Amplifies Regularization in Hilbert Space	Unknown	PDF	N/A
Fighting Copycat Agents in Behavioral Cloning from Observation Histories	Unknown	PDF	N/A
GreedyFool: Distortion-Aware Sparse Adversarial Attack	Unknown	PDF	N/A
An Efficient Adversarial Attack for Tree Ensembles	Unknown	PDF	N/A
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning	Unknown	PDF	N/A
Domain Adaptation as a Problem of Inference on Graphical Models	Unknown	PDF	N/A
Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction	Unknown	PDF	N/A
Online Matrix Completion with Side Information	Unknown	PDF	N/A
Cascaded Text Generation with Markov Transformers	Unknown	PDF	N/A
Rankmax: An Adaptive Projection Alternative to the Softmax Function	Unknown	PDF	N/A
Stochastic Deep Gaussian Processes over Graphs	Unknown	PDF	N/A
Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks	Unknown	PDF	N/A
Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks	Unknown	PDF	N/A
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks	Unknown	PDF	N/A
Parametric Instance Classification for Unsupervised Visual Feature learning	Unknown	PDF	N/A
Robustness of Bayesian Neural Networks to Gradient-Based Attacks	Unknown	PDF	N/A
Regularized linear autoencoders recover the principal components, eventually	Unknown	PDF	N/A
A Closer Look at Accuracy vs. Robustness	Unknown	PDF	N/A
Theoretical Insights Into Multiclass Classification: A High-dimensional Asymptotic View	Unknown	PDF	N/A
Neural Manifold Ordinary Differential Equations	Unknown	PDF	N/A
Robust, Accurate Stochastic Optimization for Variational Inference	Unknown	PDF	N/A
On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression	Unknown	PDF	N/A
HiPPO: Recurrent Memory with Optimal Polynomial Projections	Unknown	PDF	N/A
Ultrahyperbolic Representation Learning	Unknown	PDF	N/A
Fair Multiple Decision Making Through Soft Interventions	Unknown	PDF	N/A
Finding the Homology of Decision Boundaries with Active Learning	Unknown	PDF	N/A
Neural Sparse Representation for Image Restoration	Unknown	PDF	N/A
Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic Setting	Unknown	PDF	N/A
Unsupervised Representation Learning by Invariance Propagation	Unknown	PDF	N/A
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization	Unknown	PDF	N/A
Learning to Adapt to Evolving Domains	Unknown	PDF	N/A
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers	Unknown	PDF	N/A
SIRI: Spatial Relation Induced Network For Spatial Description Resolution	Unknown	PDF	N/A
Kernel Alignment Risk Estimator: Risk Prediction from Training Data	Unknown	PDF	N/A
Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets	Unknown	PDF	N/A
Attribute Prototype Network for Zero-Shot Learning	Unknown	PDF	N/A
Decisions, Counterfactual Explanations and Strategic Behavior	Unknown	PDF	N/A
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis	Unknown	PDF	N/A
Learning to Prove Theorems by Learning to Generate Theorems	Unknown	PDF	N/A
MeshSDF: Differentiable Iso-Surface Extraction	Unknown	PDF	N/A
Error Bounds of Imitating Policies and Environments	Unknown	PDF	N/A
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning	Unknown	PDF	N/A
BERT Loses Patience: Fast and Robust Inference with Early Exit	Unknown	PDF	N/A
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions	Unknown	PDF	N/A
Rethinking Learnable Tree Filter for Generic Feature Transform	Unknown	PDF	N/A
SOLOv2: Dynamic and Fast Instance Segmentation	Unknown	PDF	N/A
Latent Template Induction with Gumbel-CRFs	Unknown	PDF	N/A
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection	Unknown	PDF	N/A
A random matrix analysis of random Fourier features: beyond the Gaussian kernel, a precise phase transition, and the corresponding double descent	Unknown	PDF	N/A
Neural Methods for Point-wise Dependency Estimation	Unknown	PDF	N/A
Bayesian Deep Ensembles via the Neural Tangent Kernel	Unknown	PDF	N/A
Robust Optimization for Fairness with Noisy Protected Groups	Unknown	PDF	N/A
Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation	Unknown	PDF	N/A
Towards Playing Full MOBA Games with Deep Reinforcement Learning	Unknown	PDF	N/A
Robust compressed sensing using generative models	Unknown	PDF	N/A
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems	Unknown	PDF	N/A
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso	Unknown	PDF	N/A
Flows for simultaneous manifold learning and density estimation	Unknown	PDF	N/A
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising	Unknown	PDF	N/A
A graph similarity for deep learning	Unknown	PDF	N/A
How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks?	Unknown	PDF	N/A
Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features	Unknown	PDF	N/A
Minimax Bounds for Generalized Linear Models	Unknown	PDF	N/A
Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals	Unknown	PDF	N/A
Probabilistic Linear Solvers for Machine Learning	Unknown	PDF	N/A
Feature Importance Ranking for Deep Learning	Unknown	PDF	N/A
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures	Unknown	PDF	N/A
HyNet: Learning Local Descriptor with Hybrid Similarity Measure and Triplet Loss	Unknown	PDF	N/A
Modeling Shared responses in Neuroimaging Studies through MultiView ICA	Unknown	PDF	N/A
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency	Unknown	PDF	N/A
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks	Unknown	PDF	N/A
System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina	Unknown	PDF	N/A
Auditing Differentially Private Machine Learning: How Private is Private SGD?	Unknown	PDF	N/A
Robust Meta-learning for Mixed Linear Regression with Small Batches	Unknown	PDF	N/A
Deep active inference agents using Monte-Carlo methods	Unknown	PDF	N/A
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures	Unknown	PDF	N/A
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping	Unknown	PDF	N/A
Coresets via Bilevel Optimization for Continual Learning and Streaming	Unknown	PDF	N/A
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling	Unknown	PDF	N/A
Self-Adaptive Training: beyond Empirical Risk Minimization	Unknown	PDF	N/A
On the distance between two neural networks and the stability of learning	Unknown	PDF	N/A
GPS-Net: Graph-based Photometric Stereo Network	Unknown	PDF	N/A
Adversarial Self-Supervised Contrastive Learning	Unknown	PDF	N/A
Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization	Unknown	PDF	N/A
Passport-aware Normalization for Deep Model Protection	Unknown	PDF	N/A
Neural Architecture Generator Optimization	Unknown	PDF	N/A
The Power of Predictions in Online Control	Unknown	PDF	N/A
Multi-label Contrastive Predictive Coding	Unknown	PDF	N/A
One-sample Guided Object Representation Disassembling	Unknown	PDF	N/A
Learning Dynamic Belief Graphs to Generalize on Text-Based Games	Unknown	PDF	N/A
Hybrid Models for Learning to Branch	Unknown	PDF	N/A
Provable Overlapping Community Detection in Weighted Graphs	Unknown	PDF	N/A
Calibrating CNNs for Lifelong Learning	Unknown	PDF	N/A
Learning Deformable Tetrahedral Meshes for 3D Reconstruction	Unknown	PDF	N/A
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection	Unknown	PDF	N/A
Adaptive Reduced Rank Regression	Unknown	PDF	N/A
Permute-and-Flip: A new mechanism for differentially private selection	Unknown	PDF	N/A
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control	Unknown	PDF	N/A
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings	Unknown	PDF	N/A
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks	Unknown	PDF	N/A
Avoiding Side Effects in Complex Environments	Unknown	PDF	N/A
Adversarial Weight Perturbation Helps Robust Generalization	Unknown	PDF	N/A
Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning	Unknown	PDF	N/A
A new convergent variant of Q-learning with linear function approximation	Unknown	PDF	N/A
A Boolean Task Algebra for Reinforcement Learning	Unknown	PDF	N/A
Continuous Regularized Wasserstein Barycenters	Unknown	PDF	N/A
Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms	Unknown	PDF	N/A
Coherent Hierarchical Multi-Label Classification Networks	Unknown	PDF	N/A
Learning Disentangled Representations and Group Structure of Dynamical Environments	Unknown	PDF	N/A
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits	Unknown	PDF	N/A
Stochastic Normalization	Unknown	PDF	N/A
In search of robust measures of generalization	Unknown	PDF	N/A
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces	Unknown	PDF	N/A
Incorporating BERT into Parallel Sequence Decoding with Adapters	Unknown	PDF	N/A
Sharper Generalization Bounds for Pairwise Learning	Unknown	PDF	N/A
Hierarchical Quantized Autoencoders	Unknown	PDF	N/A
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping	Unknown	PDF	N/A
Provably Consistent Partial-Label Learning	Unknown	PDF	N/A
Transferable Calibration with Lower Bias and Variance in Domain Adaptation	Unknown	PDF	N/A
ICNet: Intra-saliency Correlation Network for Co-Saliency Detection	Unknown	PDF	N/A
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits	Unknown	PDF	N/A
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices	Unknown	PDF	N/A
SGD with shuffling: optimal rates without component convexity and large epoch requirements	Unknown	PDF	N/A
A Dictionary Approach to Domain-Invariant Learning in Deep Networks	Unknown	PDF	N/A
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees	Unknown	PDF	N/A
TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation	Unknown	PDF	N/A
Adversarial Bandits with Corruptions	Unknown	PDF	N/A
Active Invariant Causal Prediction: Experiment Selection through Stability	Unknown	PDF	N/A
Adaptive Online Estimation of Piecewise Polynomial Trends	Unknown	PDF	N/A
Part-dependent Label Noise: Towards Instance-dependent Label Noise	Unknown	PDF	N/A
Neural Unsigned Distance Fields for Implicit Function Learning	Unknown	PDF	N/A
Almost Optimal Model-Free Reinforcement Learningvia Reference-Advantage Decomposition	Unknown	PDF	N/A
Near-Optimal Comparison Based Clustering	Unknown	PDF	N/A
Robust large-margin learning in hyperbolic space	Unknown	PDF	N/A
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration	Unknown	PDF	N/A
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix	Unknown	PDF	N/A
Cross-Scale Internal Graph Neural Network for Image Super-Resolution	Unknown	PDF	N/A
Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction	Unknown	PDF	N/A
Blind Video Temporal Consistency via Deep Video Prior	Unknown	PDF	N/A
A mathematical model for automatic differentiation in machine learning	Unknown	PDF	N/A
Auxiliary Task Reweighting for Minimum-data Learning	Unknown	PDF	N/A
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning	Unknown	PDF	N/A
OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification	Unknown	PDF	N/A
Theory-Inspired Path-Regularized Differential Network Architecture Search	Unknown	PDF	N/A
Knowledge Augmented Deep Neural Networks for Joint Facial Expression and Action Unit Recognition	Unknown	PDF	N/A
Agnostic $Q$-learning with Function Approximation in Deterministic Systems: Near-Optimal Bounds on Approximation Error and Sample Complexity	Unknown	PDF	N/A
Compositional Generalization by Learning Analytical Expressions	Unknown	PDF	N/A
Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards	Unknown	PDF	N/A
Approximation Based Variance Reduction for Reparameterization Gradients	Unknown	PDF	N/A
Swapping Autoencoder for Deep Image Manipulation	Unknown	PDF	N/A
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding	Unknown	PDF	N/A
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning	Unknown	PDF	N/A
A Group-Theoretic Framework for Data Augmentation	Unknown	PDF	N/A
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm	Unknown	PDF	N/A
Learning Individually Inferred Communication for Multi-Agent Cooperation	Unknown	PDF	N/A
Exponential ergodicity of mirror-Langevin diffusions	Unknown	PDF	N/A
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting	Unknown	PDF	N/A
Deep Reinforcement and InfoMax Learning	Unknown	PDF	N/A
DISK: Learning local features with policy gradient	Unknown	PDF	N/A
Content Provider Dynamics and Coordination in Recommendation Ecosystems	Unknown	PDF	N/A
Projection Robust Wasserstein Distance and Riemannian Optimization	Unknown	PDF	N/A
Fast Adversarial Robustness Certification of Nearest Prototype Classifiers for Arbitrary Seminorms	Unknown	PDF	N/A
Proximity Operator of the Matrix Perspective Function and its Applications	Unknown	PDF	N/A
Robust Quantization: One Model to Rule Them All	Unknown	PDF	N/A
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework	Unknown	PDF	N/A
Backpropagating Linearly Improves Transferability of Adversarial Examples	Unknown	PDF	N/A
Dual-Free Stochastic Decentralized Optimization with Variance Reduction	Unknown	PDF	N/A
CodeCMR: Cross-Modal Retrieval For Function-Level Binary Source Code Matching	Unknown	PDF	N/A
Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition	Unknown	PDF	N/A
Gradient Surgery for Multi-Task Learning	Unknown	PDF	N/A
On the Trade-off between Adversarial and Backdoor Robustness	Unknown	PDF	N/A
Graph Cross Networks with Vertex Infomax Pooling	Unknown	PDF	N/A
MetaSDF: Meta-Learning Signed Distance Functions	Unknown	PDF	N/A
Adaptive Gradient Quantization for Data-Parallel SGD	Unknown	PDF	N/A
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators	Unknown	PDF	N/A
Deep reconstruction of strange attractors from time series	Unknown	PDF	N/A
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images	Unknown	PDF	N/A
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free	Unknown	PDF	N/A
Evolving Graphical Planner: Contextual Global Planning for Vision-and-Language Navigation	Unknown	PDF	N/A
Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?	Unknown	PDF	N/A
Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping	Unknown	PDF	N/A
Stable and expressive recurrent vision models	Unknown	PDF	N/A
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring	Unknown	PDF	N/A
Texture Interpolation for Probing Visual Perception	Unknown	PDF	N/A
Off-Policy Imitation Learning from Observations	Unknown	PDF	N/A
AdaTune: Adaptive Tensor Program Compilation Made Efficient	Unknown	PDF	N/A
Neural Non-Rigid Tracking	Unknown	PDF	N/A
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms	Unknown	PDF	N/A
The Diversified Ensemble Neural Network	Unknown	PDF	N/A
Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model	Unknown	PDF	N/A
Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis	Unknown	PDF	N/A
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks	Unknown	PDF	N/A
The Generalized Lasso with Nonlinear Observations and Generative Priors	Unknown	PDF	N/A
Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs	Unknown	PDF	N/A
Learning Loss for Test-Time Augmentation	Unknown	PDF	N/A
Learning to Learn Variational Semantic Memory	Unknown	PDF	N/A
Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method	Unknown	PDF	N/A
The Pitfalls of Simplicity Bias in Neural Networks	Unknown	PDF	N/A
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-resolution and Beyond	Unknown	PDF	N/A
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks	Unknown	PDF	N/A
Sparse Learning with CART	Unknown	PDF	N/A
Learning About Objects by Learning to Interact with Them	Unknown	PDF	N/A
Fast and Flexible Temporal Point Processes with Triangular Maps	Unknown	PDF	N/A
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection	Unknown	PDF	N/A
Deep Diffusion-Invariant Wasserstein Distributional Classification	Unknown	PDF	N/A
Kernel Based Progressive Distillation for Adder Neural Networks	Unknown	PDF	N/A
Finite-Sample Analysis of Contractive Stochastic Approximation Using Smooth Convex Envelopes	Unknown	PDF	N/A
Beta R-CNN: Looking into Pedestrian Detection from Another Perspective	Unknown	PDF	N/A
HOI Analysis: Integrating and Decomposing Human-Object Interaction	Unknown	PDF	N/A
Softmax Deep Double Deterministic Policy Gradients	Unknown	PDF	N/A
RANet: Region Attention Network for Semantic Segmentation	Unknown	PDF	N/A
Practical Quasi-Newton Methods for Training Deep Neural Networks	Unknown	PDF	N/A
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation	Unknown	PDF	N/A
PIE-NET: Parametric Inference of Point Cloud Edges	Unknown	PDF	N/A
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection	Unknown	PDF	N/A
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory	Unknown	PDF	N/A
Continual Learning with Node-Importance based Adaptive Group Sparse Regularization	Unknown	PDF	N/A
SCOP: Scientific Control for Reliable Neural Network Pruning	Unknown	PDF	N/A
Learning to Orient Surfaces by Self-supervised Spherical CNNs	Unknown	PDF	N/A
Assessing SATNet's Ability to Solve the Symbol Grounding Problem	Unknown	PDF	N/A
Unfolding the Alternating Optimization for Blind Super Resolution	Unknown	PDF	N/A
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks	Unknown	PDF	N/A
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation	Unknown	PDF	N/A
Group Contextual Encoding for 3D Point Clouds	Unknown	PDF	N/A
Pruning Filter in Filter	Unknown	PDF	N/A
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts	Unknown	PDF	N/A
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach	Unknown	PDF	N/A
Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency	Unknown	PDF	N/A
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference	Unknown	PDF	N/A
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses	Unknown	PDF	N/A
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning	Unknown	PDF	N/A
Kalman Filtering Attention for User Behavior Modeling in CTR Prediction	Unknown	PDF	N/A
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift	Unknown	PDF	N/A
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID	Unknown	PDF	N/A
Sample Complexity of Uniform Convergence for Multicalibration	Unknown	PDF	N/A
Diversity-Guided Multi-Objective Bayesian Optimization With Batch Evaluations	Unknown	PDF	N/A
A Class of Algorithms for General Instrumental Variable Models	Unknown	PDF	N/A
EcoLight: Intersection Control in Developing Regions Under Extreme Budget and Network Constraints	Unknown	PDF	N/A
Transfer Learning via $\ell_1$ Regularization	Unknown	PDF	N/A
What if Neural Networks had SVDs?	Unknown	PDF	N/A
Searching for Low-Bit Weights in Quantized Neural Networks	Unknown	PDF	N/A
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback	Unknown	PDF	N/A
Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation	Unknown	PDF	N/A
AvE: Assistance via Empowerment	Unknown	PDF	N/A
Minibatch vs Local SGD for Heterogeneous Distributed Learning	Unknown	PDF	N/A
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems	Unknown	PDF	N/A
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles	Unknown	PDF	N/A
Accelerating Reinforcement Learning through GPU Atari Emulation	Unknown	PDF	N/A
Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control	Unknown	PDF	N/A
Provably Efficient Exploration for Reinforcement Learning Using Unsupervised Learning	Unknown	PDF	N/A
Practical Low-Rank Communication Compression in Decentralized Deep Learning	Unknown	PDF	N/A
Wisdom of the Ensemble: Improving Consistency of Deep Learning Models	Unknown	PDF	N/A
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization	Unknown	PDF	N/A
A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings	Unknown	PDF	N/A
An Unbiased Risk Estimator for Learning with Augmented Classes	Unknown	PDF	N/A
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder	Unknown	PDF	N/A
A Tight Lower Bound and Efficient Reduction for Swap Regret	Unknown	PDF	N/A
Improved Schemes for Episodic Memory-based Lifelong Learning	Unknown	PDF	N/A
Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher	Unknown	PDF	N/A
The Adaptive Complexity of Maximizing a Gross Substitutes Valuation	Unknown	PDF	N/A
UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging	Unknown	PDF	N/A
PLANS: Neuro-Symbolic Program Learning from Videos	Unknown	PDF	N/A
Decision-Making with Auto-Encoding Variational Bayes	Unknown	PDF	N/A
Weakly Supervised Deep Functional Maps for Shape Matching	Unknown	PDF	N/A
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards	Unknown	PDF	N/A
Bayesian Probabilistic Numerical Integration with Tree-Based Models	Unknown	PDF	N/A
Fairness constraints can help exact inference in structured prediction	Unknown	PDF	N/A
Multiparameter Persistence Image for Topological Machine Learning	Unknown	PDF	N/A
Heuristic Domain Adaptation	Unknown	PDF	N/A
Probabilistic Time Series Forecasting with Shape and Temporal Diversity	Unknown	PDF	N/A
Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D	Unknown	PDF	N/A
Labelling unlabelled videos from scratch with multi-modal self-supervision	Unknown	PDF	N/A
On the Convergence of Smooth Regularized Approximate Value Iteration Schemes	Unknown	PDF	N/A
Reliable Graph Neural Networks via Robust Aggregation	Unknown	PDF	N/A
Random Walk Graph Neural Networks	Unknown	PDF	N/A
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection	Unknown	PDF	N/A
ConvBERT: Improving BERT with Span-based Dynamic Convolution	Unknown	PDF	N/A
On the training dynamics of deep networks with $L_2$ regularization	Unknown	PDF	N/A
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings	Unknown	PDF	N/A
Prophet Attention: Predicting Attention with Future Attention	Unknown	PDF	N/A
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	Unknown	PDF	N/A
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples	Unknown	PDF	N/A
3D Self-Supervised Methods for Medical Imaging	Unknown	PDF	N/A
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law	Unknown	PDF	N/A
Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows	Unknown	PDF	N/A
SMYRF - Efficient Attention using Asymmetric Clustering	Unknown	PDF	N/A
Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot	Unknown	PDF	N/A
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks	Unknown	PDF	N/A
Self-supervised Co-Training for Video Representation Learning	Unknown	PDF	N/A
Further Analysis of Outlier Detection with Deep Generative Models	Unknown	PDF	N/A
Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond	Unknown	PDF	N/A
Bandit Linear Control	Unknown	PDF	N/A
Is normalization indispensable for training deep neural network?	Unknown	PDF	N/A
Unsupervised Sound Separation Using Mixture Invariant Training	Unknown	PDF	N/A
VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data	Unknown	PDF	N/A
Space-Time Correspondence as a Contrastive Random Walk	Unknown	PDF	N/A
On Warm-Starting Neural Network Training	Unknown	PDF	N/A
Generative View Synthesis: From Single-view Semantics to Novel-view Images	Unknown	PDF	N/A
Critic Regularized Regression	Unknown	PDF	N/A
Tree! I am no Tree! I am a low dimensional Hyperbolic Embedding	Unknown	PDF	N/A
Learnability with Indirect Supervision Signals	Unknown	PDF	N/A
Adaptive Probing Policies for Shortest Path Routing	Unknown	PDF	N/A
CoinPress: Practical Private Mean and Covariance Estimation	Unknown	PDF	N/A
Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth	Unknown	PDF	N/A
Private Identity Testing for High-Dimensional Distributions	Unknown	PDF	N/A
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness	Unknown	PDF	N/A
Meta-Gradient Reinforcement Learning with an Objective Discovered Online	Unknown	PDF	N/A
Neural Networks with Small Weights and Depth-Separation Barriers	Unknown	PDF	N/A
Riemannian Continuous Normalizing Flows	Unknown	PDF	N/A
Path Integral Based Convolution and Pooling for Graph Neural Networks	Unknown	PDF	N/A
Modeling Task Effects on Meaning Representation in the Brain via Zero-Shot MEG Prediction	Unknown	PDF	N/A
Certifying Confidence via Randomized Smoothing	Unknown	PDF	N/A
A meta-learning approach to (re)discover plasticity rules that carve a desired function into a neural network	Unknown	PDF	N/A
A General Method for Robust Learning from Batches	Unknown	PDF	N/A
Few-shot Image Generation with Elastic Weight Consolidation	Unknown	PDF	N/A
Dual Instrumental Variable Regression	Unknown	PDF	N/A
Learning Kernel Tests Without Data Splitting	Unknown	PDF	N/A
Towards More Practical Adversarial Attacks on Graph Neural Networks	Unknown	PDF	N/A
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning	Unknown	PDF	N/A
f-Divergence Variational Inference	Unknown	PDF	N/A
Implicit Graph Neural Networks	Unknown	PDF	N/A
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification	Unknown	PDF	N/A
Quantitative Propagation of Chaos for SGD in Wide Neural Networks	Unknown	PDF	N/A
A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks	Unknown	PDF	N/A
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds	Unknown	PDF	N/A
Neural Networks Fail to Learn Periodic Functions and How to Fix It	Unknown	PDF	N/A
Strongly Incremental Constituency Parsing with Graph Neural Networks	Unknown	PDF	N/A
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows	Unknown	PDF	N/A
Improving model calibration with accuracy versus uncertainty optimization	Unknown	PDF	N/A
Continuous Surface Embeddings	Unknown	PDF	N/A
A General Large Neighborhood Search Framework for Solving Integer Linear Programs	Unknown	PDF	N/A
High-contrast “gaudy” images improve the training of deep neural network models of visual cortex	Unknown	PDF	N/A
Simple and Fast Algorithm for Binary Integer and Online Linear Programming	Unknown	PDF	N/A
OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling	Unknown	PDF	N/A
CO-Optimal Transport	Unknown	PDF	N/A
Explicit Regularisation in Gaussian Noise Injections	Unknown	PDF	N/A
Assisted Learning: A Framework for Multi-Organization Learning	Unknown	PDF	N/A
Deep Smoothing of the Implied Volatility Surface	Unknown	PDF	N/A
Limits to Depth Efficiencies of Self-Attention	Unknown	PDF	N/A
A Unifying View of Optimism in Episodic Reinforcement Learning	Unknown	PDF	N/A
Adversarial Distributional Training for Robust Deep Learning	Unknown	PDF	N/A
GPU-Accelerated Primal Learning for Extremely Fast Large-Scale Classification	Unknown	PDF	N/A
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization	Unknown	PDF	N/A
Multilabel Classification by Hierarchical Partitioning and Data-dependent Grouping	Unknown	PDF	N/A
A Study on Encodings for Neural Architecture Search	Unknown	PDF	N/A
Task-Robust Model-Agnostic Meta-Learning	Unknown	PDF	N/A
On the equivalence of molecular graph convolution and molecular wave function with poor basis set	Unknown	PDF	N/A
One-bit Supervision for Image Classification	Unknown	PDF	N/A
CompRess: Self-Supervised Learning by Compressing Representations	Unknown	PDF	N/A
Learning Global Transparent Models consistent with Local Contrastive Explanations	Unknown	PDF	N/A
Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate	Unknown	PDF	N/A
Learning discrete distributions: user vs item-level privacy	Unknown	PDF	N/A
Self-Learning Transformations for Improving Gaze and Head Redirection	Unknown	PDF	N/A
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts	Unknown	PDF	N/A
Robust Density Estimation under Besov IPM Losses	Unknown	PDF	N/A
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function	Unknown	PDF	N/A
Object Goal Navigation using Goal-Oriented Semantic Exploration	Unknown	PDF	N/A
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks	Unknown	PDF	N/A
PAC-Bayes Analysis Beyond the Usual Bounds	Unknown	PDF	N/A
Dynamical mean-field theory for stochastic gradient descent in Gaussian mixture classification	Unknown	PDF	N/A
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement	Unknown	PDF	N/A
Video Frame Interpolation without Temporal Priors	Unknown	PDF	N/A
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond	Unknown	PDF	N/A
Provably Efficient Neural Estimation of Structural Equation Models: An Adversarial Approach	Unknown	PDF	N/A
Bad Global Minima Exist and SGD Can Reach Them	Unknown	PDF	N/A
Efficient Exact Verification of Binarized Neural Networks	Unknown	PDF	N/A
Myersonian Regression	Unknown	PDF	N/A
Learning under Model Misspecification: Applications to Variational and Ensemble methods	Unknown	PDF	N/A
Generating Correct Answers for Progressive Matrices Intelligence Tests	Unknown	PDF	N/A
Universally Quantized Neural Compression	Unknown	PDF	N/A
The Strong Screening Rule for SLOPE	Unknown	PDF	N/A
Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation	Unknown	PDF	N/A
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings	Unknown	PDF	N/A
Evolving Normalization-Activation Layers	Unknown	PDF	N/A
Curriculum By Smoothing	Unknown	PDF	N/A
On Completeness-aware Concept-Based Explanations in Deep Neural Networks	Unknown	PDF	N/A
Directional Pruning of Deep Neural Networks	Unknown	PDF	N/A
Task-Oriented Feature Distillation	Unknown	PDF	N/A
Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry	Unknown	PDF	N/A
Minibatch Stochastic Approximate Proximal Point Methods	Unknown	PDF	N/A
LoCo: Local Contrastive Representation Learning	Unknown	PDF	N/A
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems	Unknown	PDF	N/A
Multi-task Batch Reinforcement Learning with Metric Learning	Unknown	PDF	N/A
Evaluating Attribution for Graph Neural Networks	Unknown	PDF	N/A
Learning Strategic Network Emergence Games	Unknown	PDF	N/A
Detecting Hands and Recognizing Physical Contact in the Wild	Unknown	PDF	N/A
Focus of Attention Improves Information Transfer in Visual Features	Unknown	PDF	N/A
Adversarial Attacks on Linear Contextual Bandits	Unknown	PDF	N/A
Neural Path Features and Neural Path Kernel : Understanding the role of gates in deep learning	Unknown	PDF	N/A
Deep Transformation-Invariant Clustering	Unknown	PDF	N/A
HYDRA: Pruning Adversarially Robust Neural Networks	Unknown	PDF	N/A
Higher-Order Certification For Randomized Smoothing	Unknown	PDF	N/A
Exactly Computing the Local Lipschitz Constant of ReLU Networks	Unknown	PDF	N/A
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick	Unknown	PDF	N/A
Learning to Learn with Feedback and Local Plasticity	Unknown	PDF	N/A
Model Interpretability through the Lens of Computational Complexity	Unknown	PDF	N/A
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis	Unknown	PDF	N/A
A Unified View of Label Shift Estimation	Unknown	PDF	N/A
Distributional Robustness with IPMs and links to Regularization and GANs	Unknown	PDF	N/A
On the universality of deep learning	Unknown	PDF	N/A
CogLTX: Applying BERT to Long Texts	Unknown	PDF	N/A
What shapes feature representations? Exploring datasets, architectures, and training	Unknown	PDF	N/A
Better Full-Matrix Regret via Parameter-Free Online Learning	Unknown	PDF	N/A
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement	Unknown	PDF	N/A
On Correctness of Automatic Differentiation for Non-Differentiable Functions	Unknown	PDF	N/A
Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations	Unknown	PDF	N/A
GAN Memory with No Forgetting	Unknown	PDF	N/A
Approximate Heavily-Constrained Learning with Lagrange Multiplier Models	Unknown	PDF	N/A
Denoising Diffusion Probabilistic Models	Unknown	PDF	N/A
Variational Bayesian Monte Carlo with Noisy Likelihoods	Unknown	PDF	N/A
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence	Unknown	PDF	N/A
Exchangeable Neural ODE for Set Modeling	Unknown	PDF	N/A
Bootstrapping neural processes	Unknown	PDF	N/A
Robust and Heavy-Tailed Mean Estimation Made Simple, via Regret Minimization	Unknown	PDF	N/A
Is Long Horizon RL More Difficult Than Short Horizon RL?	Unknown	PDF	N/A
Graph Information Bottleneck	Unknown	PDF	N/A
Inverse Reinforcement Learning from a Gradient-based Learner	Unknown	PDF	N/A
Regret Bounds without Lipschitz Continuity: Online Learning with Relative-Lipschitz Losses	Unknown	PDF	N/A
Statistical and Topological Properties of Sliced Probability Divergences	Unknown	PDF	N/A
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method	Unknown	PDF	N/A
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization	Unknown	PDF	N/A
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection	Unknown	PDF	N/A
WOR and $p$'s: Sketches for $\ell_p$-Sampling Without Replacement	Unknown	PDF	N/A
Robust Persistence Diagrams using Reproducing Kernels	Unknown	PDF	N/A
Biologically Inspired Mechanisms for Adversarial Robustness	Unknown	PDF	N/A
Variance reduction for Random Coordinate Descent-Langevin Monte Carlo	Unknown	PDF	N/A
Predictive inference is free with the jackknife+-after-bootstrap	Unknown	PDF	N/A
Online learning with dynamics: A minimax perspective	Unknown	PDF	N/A
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks	Unknown	PDF	N/A
Improving Online Rent-or-Buy Algorithms with Sequential Decision Making and ML Predictions	Unknown	PDF	N/A
Submodular Maximization Through Barrier Functions	Unknown	PDF	N/A
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks	Unknown	PDF	N/A
How many samples is a good initial point worth in Low-rank Matrix Recovery?	Unknown	PDF	N/A
Finite Versus Infinite Neural Networks: an Empirical Study	Unknown	PDF	N/A
Online Planning with Lookahead Policies	Unknown	PDF	N/A
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise	Unknown	PDF	N/A
Improving Sparse Vector Technique with Renyi Differential Privacy	Unknown	PDF	N/A
Self-Supervised Learning by Cross-Modal Audio-Video Clustering	Unknown	PDF	N/A
Watch out! Motion is Blurring the Vision of Your Deep Neural Networks	Unknown	PDF	N/A
Diverse Image Captioning with Context-Object Split Latent Spaces	Unknown	PDF	N/A
Sample-Efficient Reinforcement Learning of Undercomplete POMDPs	Unknown	PDF	N/A
A Novel Automated Curriculum Strategy to Solve Hard Sokoban Planning Instances	Unknown	PDF	N/A
The Discrete Gaussian for Differential Privacy	Unknown	PDF	N/A
Relative gradient optimization of the Jacobian term in unsupervised deep learning	Unknown	PDF	N/A
Implicit Neural Representations with Periodic Activation Functions	Unknown	PDF	N/A
Autoregressive Score Matching	Unknown	PDF	N/A
Preference learning along multiple criteria: A game-theoretic perspective	Unknown	PDF	N/A
TaylorGAN: Neighbor-Augmented Policy Update Towards Sample-Efficient Natural Language Generation	Unknown	PDF	N/A
Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks	Unknown	PDF	N/A
Towards Learning Convolutions from Scratch	Unknown	PDF	N/A
Learning Differential Equations that are Easy to Solve	Unknown	PDF	N/A
Online Algorithm for Unsupervised Sequential Selection with Contextual Information	Unknown	PDF	N/A
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration	Unknown	PDF	N/A
Compositional Generalization via Neural-Symbolic Stack Machines	Unknown	PDF	N/A
Post-training Iterative Hierarchical Data Augmentation for Deep Networks	Unknown	PDF	N/A
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference	Unknown	PDF	N/A
BOSS: Bayesian Optimization over String Spaces	Unknown	PDF	N/A
Adversarial Training is a Form of Data-dependent Operator Norm Regularization	Unknown	PDF	N/A
Trust the Model When It Is Confident: Masked Model-based Actor-Critic	Unknown	PDF	N/A
Avoiding Side Effects By Considering Future Tasks	Unknown	PDF	N/A
Implicit Rank-Minimizing Autoencoder	Unknown	PDF	N/A
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist	Unknown	PDF	N/A
Decentralized Langevin Dynamics for Bayesian Learning	Unknown	PDF	N/A
Monotone operator equilibrium networks	Unknown	PDF	N/A
Sequence to Multi-Sequence Learning via Conditional Chain Mapping for Mixture Signals	Unknown	PDF	N/A
Neurosymbolic Transformers for Multi-Agent Communication	Unknown	PDF	N/A
Federated Principal Component Analysis	Unknown	PDF	N/A
When Do Neural Networks Outperform Kernel Methods?	Unknown	PDF	N/A
Universal Domain Adaptation through Self Supervision	Unknown	PDF	N/A
Uncertainty-aware Self-training for Few-shot Text Classification	Unknown	PDF	N/A
Differentially-Private Federated Linear Bandits	Unknown	PDF	N/A
What went wrong and when? Instance-wise feature importance for time-series black-box models	Unknown	PDF	N/A
Achieving Equalized Odds by Resampling Sensitive Attributes	Unknown	PDF	N/A
Model Agnostic Multilevel Explanations	Unknown	PDF	N/A
Online MAP Inference of Determinantal Point Processes	Unknown	PDF	N/A
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds	Unknown	PDF	N/A
Multi-agent active perception with prediction rewards	Unknown	PDF	N/A
Synbols: Probing Learning Algorithms with Synthetic Datasets	Unknown	PDF	N/A
Learning Augmented Energy Minimization via Speed Scaling	Unknown	PDF	N/A
Efficient Projection-free Algorithms for Saddle Point Problems	Unknown	PDF	N/A
Improved Guarantees for k-means++ and k-means++ Parallel	Unknown	PDF	N/A
Dissecting Neural ODEs	Unknown	PDF	N/A
Higher-Order Spectral Clustering of Directed Graphs	Unknown	PDF	N/A
Ensembling geophysical models with Bayesian Neural Networks	Unknown	PDF	N/A
Optimal Private Median Estimation under Minimal Distributional Assumptions	Unknown	PDF	N/A
Rethinking Importance Weighting for Deep Learning under Distribution Shift	Unknown	PDF	N/A
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies	Unknown	PDF	N/A
Recovery of sparse linear classifiers from mixture of responses	Unknown	PDF	N/A
Neural Execution Engines: Learning to Execute Subroutines	Unknown	PDF	N/A
The Autoencoding Variational Autoencoder	Unknown	PDF	N/A
Generative 3D Part Assembly via Dynamic Graph Learning	Unknown	PDF	N/A
Unsupervised Text Generation by Learning from Search	Unknown	PDF	N/A
Characterizing Optimal Mixed Policies: Where to Intervene and What to Observe	Unknown	PDF	N/A
Logarithmic Pruning is All You Need	Unknown	PDF	N/A
Online Adaptation for Consistent Mesh Reconstruction in the Wild	Unknown	PDF	N/A
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations	Unknown	PDF	N/A
Meta-Neighborhoods	Unknown	PDF	N/A
Fair Performance Metric Elicitation	Unknown	PDF	N/A
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity	Unknown	PDF	N/A
Curriculum learning for multilevel budgeted combinatorial problems	Unknown	PDF	N/A
Ratio Trace Formulation of Wasserstein Discriminant Analysis	Unknown	PDF	N/A
Self-Supervised Relationship Probing	Unknown	PDF	N/A
Hard Negative Mixing for Contrastive Learning	Unknown	PDF	N/A
Self-Supervised Generative Adversarial Compression	Unknown	PDF	N/A
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks	Unknown	PDF	N/A
Domain Generalization via Entropy Regularization	Unknown	PDF	N/A
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement	Unknown	PDF	N/A
Equivariant Networks for Hierarchical Structures	Unknown	PDF	N/A
Model Fusion via Optimal Transport	Unknown	PDF	N/A
H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks	Unknown	PDF	N/A
Robustness of Community Detection to Random Geometric Perturbations	Unknown	PDF	N/A
Co-Tuning for Transfer Learning	Unknown	PDF	N/A
A new inference approach for training shallow and deep generalized linear models of noisy interacting neurons	Unknown	PDF	N/A
Optimal Adaptive Electrode Selection to Maximize Simultaneously Recorded Neuron Yield	Unknown	PDF	N/A
Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model	Unknown	PDF	N/A
Towards Problem-dependent Optimal Learning Rates	Unknown	PDF	N/A
Towards Convergence Rate Analysis of Random Forests for Classification	Unknown	PDF	N/A
Neural Controlled Differential Equations for Irregular Time Series	Unknown	PDF	N/A
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization	Unknown	PDF	N/A
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning	Unknown	PDF	N/A
High-recall causal discovery for autocorrelated time series with latent confounders	Unknown	PDF	N/A
The Smoothed Possibility of Social Choice	Unknown	PDF	N/A
R-learning in actor-critic model offers a biologically relevant mechanism for sequential decision-making	Unknown	PDF	N/A
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning	Unknown	PDF	N/A
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence	Unknown	PDF	N/A
Parameterized Explainer for Graph Neural Network	Unknown	PDF	N/A
Finding All $\epsilon$-Good Arms in Stochastic Bandits	Unknown	PDF	N/A
Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search	Unknown	PDF	N/A
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent	Unknown	PDF	N/A
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients	Unknown	PDF	N/A
Deep Archimedean Copulas	Unknown	PDF	N/A
Deep Transformers with Latent Depth	Unknown	PDF	N/A
Learning the Linear Quadratic Regulator from Nonlinear Observations	Unknown	PDF	N/A
Factor Graph Neural Networks	Unknown	PDF	N/A
Teaching a GAN What Not to Learn	Unknown	PDF	N/A
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder	Unknown	PDF	N/A
Learning Causal Effects via Weighted Empirical Risk Minimization	Unknown	PDF	N/A
Audeo: Audio Generation for a Silent Performance Video	Unknown	PDF	N/A
Stochastic Normalizing Flows	Unknown	PDF	N/A
Learning Bounds for Risk-sensitive Learning	Unknown	PDF	N/A
Instance-wise Feature Grouping	Unknown	PDF	N/A
On the Power of Louvain in the Stochastic Block Model	Unknown	PDF	N/A
Variational Bayesian Unlearning	Unknown	PDF	N/A
Consequences of Misaligned AI	Unknown	PDF	N/A
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction	Unknown	PDF	N/A
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint	Unknown	PDF	N/A
A game-theoretic analysis of networked system control for common-pool resource management using multi-agent reinforcement learning	Unknown	PDF	N/A
A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding	Unknown	PDF	N/A
RD$^2$: Reward Decomposition with Representation Decomposition	Unknown	PDF	N/A
Modeling Noisy Annotations for Crowd Counting	Unknown	PDF	N/A
Robust Correction of Sampling Bias using Cumulative Distribution Functions	Unknown	PDF	N/A
Graph Geometry Interaction Learning	Unknown	PDF	N/A
Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing	Unknown	PDF	N/A
Improving Local Identifiability in Probabilistic Box Embeddings	Unknown	PDF	N/A
Multi-Robot Collision Avoidance under Uncertainty with Probabilistic Safety Barrier Certificates	Unknown	PDF	N/A
Model Class Reliance for Random Forests	Unknown	PDF	N/A
Distribution-free binary classification: prediction sets, confidence intervals and calibration	Unknown	PDF	N/A
Agnostic Learning with Multiple Objectives	Unknown	PDF	N/A
Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention	Unknown	PDF	N/A
Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning	Unknown	PDF	N/A
Pre-training via Paraphrasing	Unknown	PDF	N/A
Improving Inference for Neural Image Compression	Unknown	PDF	N/A
Learning abstract structure for drawing by efficient motor program induction	Unknown	PDF	N/A
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing	Unknown	PDF	N/A
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss	Unknown	PDF	N/A
Certified Defense to Image Transformations via Randomized Smoothing	Unknown	PDF	N/A
Partial Optimal Transport with applications on Positive-Unlabeled Learning	Unknown	PDF	N/A
How Robust are the Estimated Effects of Nonpharmaceutical Interventions against COVID-19?	Unknown	PDF	N/A
Interpretable Sequence Learning for Covid-19 Forecasting	Unknown	PDF	N/A
On Function Approximation in Reinforcement Learning: Optimism in the Face of Large State Spaces	Unknown	PDF	N/A
High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization	Unknown	PDF	N/A
On Power Laws in Deep Ensembles	Unknown	PDF	N/A
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds	Unknown	PDF	N/A
The Potts-Ising model for discrete multivariate data	Unknown	PDF	N/A
Gibbs Sampling with People	Unknown	PDF	N/A
PRANK: motion Prediction based on RANKing	Unknown	PDF	N/A
Emergent Reciprocity and Team Formation from Randomized Uncertain Social Preferences	Unknown	PDF	N/A
On the Error Resistance of Hinge-Loss Minimization	Unknown	PDF	N/A
Efficient Planning in Large MDPs with Weak Linear Function Approximation	Unknown	PDF	N/A
Coresets for Near-Convex Functions	Unknown	PDF	N/A
The Primal-Dual method for Learning Augmented Algorithms	Unknown	PDF	N/A
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration	Unknown	PDF	N/A
Network Diffusions via Neural Mean-Field Dynamics	Unknown	PDF	N/A
Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class	Unknown	PDF	N/A
Incorporating Interpretable Output Constraints in Bayesian Neural Networks	Unknown	PDF	N/A
Language-Conditioned Imitation Learning for Robot Manipulation Tasks	Unknown	PDF	N/A
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks	Unknown	PDF	N/A
Belief Propagation Neural Networks	Unknown	PDF	N/A
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point	Unknown	PDF	N/A
Gradient Boosted Normalizing Flows	Unknown	PDF	N/A
Testing Determinantal Point Processes	Unknown	PDF	N/A
Rethinking pooling in graph neural networks	Unknown	PDF	N/A
Efficient estimation of neural tuning during naturalistic behavior	Unknown	PDF	N/A
Sparse Weight Activation Training	Unknown	PDF	N/A
Adapting to Misspecification in Contextual Bandits	Unknown	PDF	N/A
Conformal Symplectic and Relativistic Optimization	Unknown	PDF	N/A
Transferable Graph Optimizers for ML Compilers	Unknown	PDF	N/A
Throughput-Optimal Topology Design for Cross-Silo Federated Learning	Unknown	PDF	N/A
General Transportability of Soft Interventions: Completeness Results	Unknown	PDF	N/A
CoSE: Compositional Stroke Embeddings	Unknown	PDF	N/A
Factor Graph Grammars	Unknown	PDF	N/A
Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples	Unknown	PDF	N/A
Online Neural Connectivity Estimation with Noisy Group Testing	Unknown	PDF	N/A
Autoencoders that don't overfit towards the Identity	Unknown	PDF	N/A
An Asymptotically Optimal Primal-Dual Incremental Algorithm for Contextual Linear Bandits	Unknown	PDF	N/A
Understanding Global Feature Contributions With Additive Importance Measures	Unknown	PDF	N/A
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data	Unknown	PDF	N/A
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming	Unknown	PDF	N/A
Adversarial Attacks on Deep Graph Matching	Unknown	PDF	N/A
Contrastive learning of global and local features for medical image segmentation with limited annotations	Unknown	PDF	N/A
Provably adaptive reinforcement learning in metric spaces	Unknown	PDF	N/A
Towards Safe Policy Improvement for Non-Stationary MDPs	Unknown	PDF	N/A
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model	Unknown	PDF	N/A
Generative Neurosymbolic Machines	Unknown	PDF	N/A
Non-Euclidean Universal Approximation	Unknown	PDF	N/A
Off-Policy Interval Estimation with Lipschitz Value Iteration	Unknown	PDF	N/A
Optimal Prediction of the Number of Unseen Species with Multiplicity	Unknown	PDF	N/A
A Single Recipe for Online Submodular Maximization with Adversarial or Stochastic Constraints	Unknown	PDF	N/A
Adaptation Properties Allow Identification of Optimized Neural Codes	Unknown	PDF	N/A
Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs	Unknown	PDF	N/A
Skeleton-bridged Point Completion: From Global Inference to Local Adjustment	Unknown	PDF	N/A
CryptoNAS: Private Inference on a ReLU Budget	Unknown	PDF	N/A
Experimental design for MRI by greedy policy search	Unknown	PDF	N/A
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models	Unknown	PDF	N/A
Training Generative Adversarial Networks by Solving Ordinary Differential Equations	Unknown	PDF	N/A
Policy Improvement via Imitation of Multiple Oracles	Unknown	PDF	N/A
Outlier Robust Mean Estimation with Subgaussian Rates via Stability	Unknown	PDF	N/A
An Analysis of SVD for Deep Rotation Estimation	Unknown	PDF	N/A
Learning Physical Constraints with Neural Projections	Unknown	PDF	N/A
Characterizing emergent representations in a space of candidate learning rules for deep networks	Unknown	PDF	N/A
Information Theoretic Regret Bounds for Online Nonlinear Control	Unknown	PDF	N/A
Learning sparse codes from compressed representations with biologically plausible local wiring constraints	Unknown	PDF	N/A
Reparameterizing Mirror Descent as Gradient Descent	Unknown	PDF	N/A
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning	Unknown	PDF	N/A
Learning efficient task-dependent representations with synaptic plasticity	Unknown	PDF	N/A
Primal-Dual Mesh Convolutional Neural Networks	Unknown	PDF	N/A
Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms	Unknown	PDF	N/A
Stein Self-Repulsive Dynamics: Benefits From Past Samples	Unknown	PDF	N/A
Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions	Unknown	PDF	N/A
Natural Policy Gradient Primal-Dual Method for Constrained Markov Decision Processes	Unknown	PDF	N/A
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search	Unknown	PDF	N/A
Understanding Double Descent Requires A Fine-Grained Bias-Variance Decomposition	Unknown	PDF	N/A
DisARM: An Antithetic Gradient Estimator for Binary Latent Variables	Unknown	PDF	N/A
All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation	Unknown	PDF	N/A
Fourier Spectrum Discrepancies in Deep Network Generated Images	Unknown	PDF	N/A
Adaptive Shrinkage Estimation for Streaming Graphs	Unknown	PDF	N/A
Provably Good Batch Reinforcement Learning Without Great Exploration	Unknown	PDF	N/A
A/B Testing in Dense Large-Scale Networks: Design and Inference	Unknown	PDF	N/A
Stateful Posted Pricing with Vanishing Regret via Dynamic Deterministic Markov Decision Processes	Unknown	PDF	N/A
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets	Unknown	PDF	N/A
Learning compositional functions via multiplicative weight updates	Unknown	PDF	N/A
Optimal Best-arm Identification in Linear Bandits	Unknown	PDF	N/A
Towards Understanding Hierarchical Learning: Benefits of Neural Representations	Unknown	PDF	N/A
A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms	Unknown	PDF	N/A
Adaptive Discretization for Model-Based Reinforcement Learning	Unknown	PDF	N/A
De-Anonymizing Text by Fingerprinting Language Generation	Unknown	PDF	N/A
Low Distortion Block-Resampling with Spatially Stochastic Networks	Unknown	PDF	N/A
Greedy inference with structure-exploiting lazy maps	Unknown	PDF	N/A
Faster Differentially Private Samplers via Rényi Divergence Analysis of Discretized Langevin MCMC	Unknown	PDF	N/A
Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces	Unknown	PDF	N/A
Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations	Unknown	PDF	N/A
Semantic Visual Navigation by Watching YouTube Videos	Unknown	PDF	N/A
End-to-End Learning and Intervention in Games	Unknown	PDF	N/A
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases	Unknown	PDF	N/A
Compositional Explanations of Neurons	Unknown	PDF	N/A
Big Self-Supervised Models are Strong Semi-Supervised Learners	Unknown	PDF	N/A
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests	Unknown	PDF	N/A
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation	Unknown	PDF	N/A
Personalized Federated Learning with Theoretical Guarantees: A Model-Agnostic Meta-Learning Approach	Unknown	PDF	N/A
Factorized Neural Processes for Neural Processes: K-Shot Prediction of Neural Responses	Unknown	PDF	N/A
The Wasserstein Proximal Gradient Algorithm	Unknown	PDF	N/A
Axioms for Learning from Pairwise Comparisons	Unknown	PDF	N/A
Generative causal explanations of black-box classifiers	Unknown	PDF	N/A
What is being transferred in transfer learning?	Unknown	PDF	N/A
Recurrent Quantum Neural Networks	Unknown	PDF	N/A
Latent Bandits Revisited	Unknown	PDF	N/A
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning	Unknown	PDF	N/A
Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomics	Unknown	PDF	N/A
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations	Unknown	PDF	N/A
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning	Unknown	PDF	N/A
A convex optimization formulation for multivariate regression	Unknown	PDF	N/A
Confidence sequences for sampling without replacement	Unknown	PDF	N/A
Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment	Unknown	PDF	N/A
User-Dependent Neural Sequence Models for Continuous-Time Event Data	Unknown	PDF	N/A
Big Bird: Transformers for Longer Sequences	Unknown	PDF	N/A
PLLay: Efficient Topological Layer based on Persistent Landscapes	Unknown	PDF	N/A
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations	Unknown	PDF	N/A
A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems	Unknown	PDF	N/A
Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments	Unknown	PDF	N/A
JAX MD: A Framework for Differentiable Physics	Unknown	PDF	N/A
Label-Aware Neural Tangent Kernel: Toward Better Generalization and Local Elasticity	Unknown	PDF	N/A
NeuMiss networks: differentiable programming for supervised learning with missing values.	Unknown	PDF	N/A
Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters	Unknown	PDF	N/A
Self-supervised learning through the eyes of a child	Unknown	PDF	N/A
Minimax Lower Bounds for Transfer Learning with Linear and One-hidden Layer Neural Networks	Unknown	PDF	N/A
Point process models for sequence detection in high-dimensional neural spike trains	Unknown	PDF	N/A
Learning to Approximate a Bregman Divergence	Unknown	PDF	N/A
Top-k Training of GANs: Improving GAN Performance by Throwing Away Bad Samples	Unknown	PDF	N/A
Probably Approximately Correct Constrained Learning	Unknown	PDF	N/A
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs	Unknown	PDF	N/A
SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology	Unknown	PDF	N/A
Deep Subspace Clustering with Data Augmentation	Unknown	PDF	N/A
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses	Unknown	PDF	N/A
Meta-Learning with Adaptive Hyperparameters	Unknown	PDF	N/A
Estimating weighted areas under the ROC curve	Unknown	PDF	N/A
Asymptotic Guarantees for Generative Modeling Based on the Smooth Wasserstein Distance	Unknown	PDF	N/A
Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models	Unknown	PDF	N/A
Certifiably Adversarially Robust Detection of Out-of-Distribution Data	Unknown	PDF	N/A
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs	Unknown	PDF	N/A
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning	Unknown	PDF	N/A
Projected Stein Variational Gradient Descent	Unknown	PDF	N/A
Learning to summarize with human feedback	Unknown	PDF	N/A
PEP: Parameter Ensembling by Perturbation	Unknown	PDF	N/A
The Surprising Simplicity of the Early-Time Learning Dynamics of Neural Networks	Unknown	PDF	N/A
Understanding spiking networks through convex optimization	Unknown	PDF	N/A
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling	Unknown	PDF	N/A
Neural FFTs for Universal Texture Image Synthesis	Unknown	PDF	N/A
Limits on Testing Structural Changes in Ising Models	Unknown	PDF	N/A
A Simple Language Model for Task-Oriented Dialogue	Unknown	PDF	N/A
Bayesian Bits: Unifying Quantization and Pruning	Unknown	PDF	N/A
Acceleration with a Ball Optimization Oracle	Unknown	PDF	N/A
Almost Surely Stable Deep Dynamics	Unknown	PDF	N/A
A causal view of compositional zero-shot recognition	Unknown	PDF	N/A
Sample complexity and effective dimension for regression on manifolds	Unknown	PDF	N/A
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits	Unknown	PDF	N/A
Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations	Unknown	PDF	N/A
Instance Selection for GANs	Unknown	PDF	N/A
Temporal Variability in Implicit Online Learning	Unknown	PDF	N/A
Fast geometric learning with symbolic matrices	Unknown	PDF	N/A
Neural Topographic Factor Analysis for fMRI Data	Unknown	PDF	N/A
Inferring learning rules from animal decision-making	Unknown	PDF	N/A
Simultaneous Preference and Metric Learning from Paired Comparisons	Unknown	PDF	N/A
Towards practical differentially private causal graph discovery	Unknown	PDF	N/A
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision	Unknown	PDF	N/A
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization	Unknown	PDF	N/A
The Mean-Squared Error of Double Q-Learning	Unknown	PDF	N/A
Convolutional Tensor-Train LSTM for Spatio-Temporal Learning	Unknown	PDF	N/A
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting	Unknown	PDF	N/A
Top-KAST: Top-K Always Sparse Training	Unknown	PDF	N/A
Disentangling Human Error from Ground Truth in Segmentation of Medical Images	Unknown	PDF	N/A
Model Selection in Contextual Stochastic Bandit Problems	Unknown	PDF	N/A
Modular Meta-Learning with Shrinkage	Unknown	PDF	N/A
Calibrating Deep Neural Networks using Focal Loss	Unknown	PDF	N/A
Discovering conflicting groups in signed networks	Unknown	PDF	N/A
Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians	Unknown	PDF	N/A
Distribution Matching for Crowd Counting	Unknown	PDF	N/A
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training	Unknown	PDF	N/A
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains	Unknown	PDF	N/A
Consistent Plug-in Classifiers for Complex Objectives and Constraints	Unknown	PDF	N/A
Collapsing Bandits and Their Application to Public Health Intervention	Unknown	PDF	N/A
An Optimal Elimination Algorithm for Learning a Best Arm	Unknown	PDF	N/A
Adaptive Learned Bloom Filter (Ada-BF): Efficient Utilization of the Classifier with Application to Real-Time Information Filtering on the Web	Unknown	PDF	N/A
Information-theoretic Task Selection for Meta-Reinforcement Learning	Unknown	PDF	N/A
Learning Multi-Agent Communication through Structured Attentive Reasoning	Unknown	PDF	N/A
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models	Unknown	PDF	N/A
Steady State Analysis of Episodic Reinforcement Learning	Unknown	PDF	N/A
Active Structure Learning of Causal DAGs via Directed Clique Trees	Unknown	PDF	N/A
Normalizing Kalman Filters for Multivariate Time Series Analysis	Unknown	PDF	N/A
Early-Learning Regularization Prevents Memorization of Noisy Labels	Unknown	PDF	N/A
Learning Feature Sparse Principal Subspace	Unknown	PDF	N/A
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality	Unknown	PDF	N/A
POMDPs in Continuous Time and Discrete Spaces	Unknown	PDF	N/A
Goal-directed Generation of Discrete Structures with Conditional Generative Models	Unknown	PDF	N/A
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence	Unknown	PDF	N/A
Multi-agent Trajectory Prediction with Fuzzy Query Attention	Unknown	PDF	N/A
Linear Dynamical Systems as a Core Computational Primitive	Unknown	PDF	N/A
GramGAN: Deep 3D Texture Synthesis From 2D Exemplars	Unknown	PDF	N/A
Finer Metagenomic Reconstruction via Biodiversity Optimization	Unknown	PDF	N/A
Measuring Systematic Generalization in Neural Proof Generation with Transformers	Unknown	PDF	N/A
Directional convergence and alignment in deep learning	Unknown	PDF	N/A
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning	Unknown	PDF	N/A
Efficient semidefinite-programming-based inference for binary and multi-class MRFs	Unknown	PDF	N/A
On the linearity of large non-linear models: when and why the tangent kernel is constant	Unknown	PDF	N/A
Quantized Variational Inference	Unknown	PDF	N/A
Optimal and Practical Algorithms for Smooth and Strongly Convex Decentralized Optimization	Unknown	PDF	N/A
The Value Equivalence Principle for Model-Based Reinforcement Learning	Unknown	PDF	N/A
Organizing recurrent network dynamics by task-computation to enable continual learning	Unknown	PDF	N/A
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification	Unknown	PDF	N/A
Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking	Unknown	PDF	N/A
Escaping the Gravitational Pull of Softmax	Unknown	PDF	N/A
Forethought and Hindsight in Credit Assignment	Unknown	PDF	N/A
When Counterpoint Meets Chinese Folk Melodies	Unknown	PDF	N/A
The Statistical Complexity of Early-Stopped Mirror Descent	Unknown	PDF	N/A
A Local Temporal Difference Code for Distributional Reinforcement Learning	Unknown	PDF	N/A
Rescuing neural spike train models from bad MLE	Unknown	PDF	N/A
Learning to Play No-Press Diplomacy with Best Response Policy Iteration	Unknown	PDF	N/A
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning	Unknown	PDF	N/A
The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise	Unknown	PDF	N/A
Penalized Langevin dynamics with vanishing penalty for smooth and log-concave targets	Unknown	PDF	N/A
Hypersolvers: Toward Fast Continuous-Depth Models	Unknown	PDF	N/A
Comparator-Adaptive Convex Bandits	Unknown	PDF	N/A
Path Sample-Analytic Gradient Estimators for Stochastic Binary Networks	Unknown	PDF	N/A
STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks	Unknown	PDF	N/A
Variational Amodal Object Completion	Unknown	PDF	N/A
Novelty Search in Representational Space for Sample Efficient Exploration	Unknown	PDF	N/A
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning	Unknown	PDF	N/A
Deeply Learned Spectral Total Variation Decomposition	Unknown	PDF	N/A
Manifold structure in graph embeddings	Unknown	PDF	N/A
Exploiting the Surrogate Gap in Online Multiclass Classification	Unknown	PDF	N/A
ImpatientCapsAndRuns: Approximately Optimal Algorithm Configuration from an Infinite Pool	Unknown	PDF	N/A
Secretary and Online Matching Problems with Machine Learned Advice	Unknown	PDF	N/A
Estimating Fluctuations in Neural Representations of Uncertain Environments	Unknown	PDF	N/A
Sliding Window Algorithms for k-Clustering Problems	Unknown	PDF	N/A
Your Classifier can Secretly Suffice Multi-Source Domain Adaptation	Unknown	PDF	N/A
Coresets for Robust Training of Deep Neural Networks against Noisy Labels	Unknown	PDF	N/A
Unsupervised Learning of Object Landmarks via Self-Training Correspondence	Unknown	PDF	N/A
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Class-Imbalanced Data	Unknown	PDF	N/A
Beyond Lazy Training for Over-parameterized Tensor Decomposition	Unknown	PDF	N/A
Black-Box Optimization with Local Generative Surrogates	Unknown	PDF	N/A
Entropic Causal Inference: Identifiability and Finite Sample Results	Unknown	PDF	N/A
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging	Unknown	PDF	N/A
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games	Unknown	PDF	N/A
Counterfactual Data Augmentation using Locally Factored Dynamics	Unknown	PDF	N/A
Convolutional Generation of Textured 3D Meshes	Unknown	PDF	N/A
Batch Normalization Biases Residual Blocks Towards the Identity Function in Deep Networks	Unknown	PDF	N/A
Joint Policy Search for Multi-agent Collaboration with Imperfect Information	Unknown	PDF	N/A
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax	Unknown	PDF	N/A
Primal Dual Interpretation of the Proximal Stochastic Gradient Langevin Algorithm	Unknown	PDF	N/A
Linear Time Sinkhorn Divergences using Positive Features	Unknown	PDF	N/A
Applications of Common Entropy for Causal Inference	Unknown	PDF	N/A
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows	Unknown	PDF	N/A
A Stochastic Path Integral Differential EstimatoR Expectation Maximization Algorithm	Unknown	PDF	N/A
Network-to-Network Translation with Conditional Invertible Neural Networks	Unknown	PDF	N/A
ColdGANs: Taming Language GANs with Cautious Sampling Strategies	Unknown	PDF	N/A
Minimax Estimation of Conditional Moment Models	Unknown	PDF	N/A
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote	Unknown	PDF	N/A
Kernel Methods Through the Roof: Handling Billions of Points Efficiently	Unknown	PDF	N/A
Learning of Discrete Graphical Models with Neural Networks	Unknown	PDF	N/A
Spin-Weighted Spherical CNNs	Unknown	PDF	N/A
SnapBoost: A Heterogeneous Boosting Machine	Unknown	PDF	N/A
Robust Multi-Object Matching via Iterative Reweighting of the Graph Connection Laplacian	Unknown	PDF	N/A
Ensemble Distillation for Robust Model Fusion in Federated Learning	Unknown	PDF	N/A
PAC-Bayes Learning Bounds for Sample-Dependent Priors	Unknown	PDF	N/A
Fair regression via plug-in estimator and recalibration with statistical guarantees	Unknown	PDF	N/A
Sampling from a k-DPP without looking at all items	Unknown	PDF	N/A
Geometric Dataset Distances via Optimal Transport	Unknown	PDF	N/A
Fair regression with Wasserstein barycenters	Unknown	PDF	N/A
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs	Unknown	PDF	N/A
A polynomial-time algorithm for learning nonparametric causal graphs	Unknown	PDF	N/A
Convex optimization based on global lower second-order models	Unknown	PDF	N/A
Incorporating Pragmatic Reasoning Communication into Emergent Language	Unknown	PDF	N/A
Deep Evidential Regression	Unknown	PDF	N/A
Learning discrete distributions with infinite support	Unknown	PDF	N/A
Curvature Regularization to Prevent Distortion in Graph Embedding	Unknown	PDF	N/A
What Do Neural Networks Learn When Trained With Random Labels?	Unknown	PDF	N/A
A novel variational form of the Schatten-$p$ quasi-norm	Unknown	PDF	N/A
Robust Disentanglement of a Few Factors at a Time using rPU-VAE	Unknown	PDF	N/A
Improved Analysis of Clipping Algorithms for Non-convex Optimization	Unknown	PDF	N/A
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications	Unknown	PDF	N/A
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization	Unknown	PDF	N/A
On Infinite-Width Hypernetworks	Unknown	PDF	N/A
Discovering Symbolic Models from Deep Learning with Inductive Biases	Unknown	PDF	N/A
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods	Unknown	PDF	N/A
Learning to solve TV regularised problems with unrolled algorithms	Unknown	PDF	N/A
Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms.	Unknown	PDF	N/A
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes	Unknown	PDF	N/A
Hardness of Learning Neural Networks with Natural Weights	Unknown	PDF	N/A
Identifying signal and noise structure in neural population activity with Gaussian process factor models	Unknown	PDF	N/A
A Bandit Learning Algorithm and Applications to Auction Design	Unknown	PDF	N/A
Joints in Random Forests	Unknown	PDF	N/A
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting	Unknown	PDF	N/A
Deep Metric Learning with Spherical Embedding	Unknown	PDF	N/A
Triple descent and the two kinds of overfitting: where & why do they appear?	Unknown	PDF	N/A
Neuronal Gaussian Process Regression	Unknown	PDF	N/A
Continual Deep Learning by Functional Regularisation of Memorable Past	Unknown	PDF	N/A
Weak Form Generalized Hamiltonian Learning	Unknown	PDF	N/A
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling	Unknown	PDF	N/A
HRN: A Holistic Approach to One Class Learning	Unknown	PDF	N/A
Train-by-Reconnect: Decoupling Locations of Weights from Their Values	Unknown	PDF	N/A
All your loss are belong to Bayes	Unknown	PDF	N/A
Optimal Variance Control of the Score-Function Gradient Estimator for Importance-Weighted Bounds	Unknown	PDF	N/A
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs	Unknown	PDF	N/A
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control	Unknown	PDF	N/A
Graph Policy Network for Transferable Active Learning on Graphs	Unknown	PDF	N/A
Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity	Unknown	PDF	N/A
Correspondence learning via linearly-invariant embedding	Unknown	PDF	N/A
Optimal visual search based on a model of target detectability in natural images	Unknown	PDF	N/A
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting	Unknown	PDF	N/A
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation	Unknown	PDF	N/A
Explaining Naive Bayes and Other Linear Classifiers with Polynomial Time and Delay	Unknown	PDF	N/A
Coresets for Regressions with Panel Data	Unknown	PDF	N/A
Language as a Cognitive Tool to Imagine Goals in Curiosity Driven Exploration	Unknown	PDF	N/A
An efficient nonconvex reformulation of stagewise convex optimization problems	Unknown	PDF	N/A
Conservative Q-Learning for Offline Reinforcement Learning	Unknown	PDF	N/A
Probabilistic Orientation Estimation with Matrix Fisher Distributions	Unknown	PDF	N/A
Learning from Failure: De-biasing Classifier from Biased Classifier	Unknown	PDF	N/A
Safe Reinforcement Learning via Curriculum Induction	Unknown	PDF	N/A
Telescoping Density-Ratio Estimation	Unknown	PDF	N/A
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators	Unknown	PDF	N/A
Stochastic Optimization with Laggard Data Pipelines	Unknown	PDF	N/A
Learning to Detect Objects with a 1 Megapixel Event Camera	Unknown	PDF	N/A
Online Learning in Contextual Bandits using Gated Linear Networks	Unknown	PDF	N/A
Online Sinkhorn: Optimal Transport distances from sample streams	Unknown	PDF	N/A
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding	Unknown	PDF	N/A
Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs	Unknown	PDF	N/A
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring	Unknown	PDF	N/A
Non-parametric Models for Non-negative Functions	Unknown	PDF	N/A
On Convergence of Nearest Neighbor Classifiers over Feature Transformations	Unknown	PDF	N/A
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering	Unknown	PDF	N/A
Meta-learning from Tasks with Heterogeneous Attribute Spaces	Unknown	PDF	N/A
Fast and Accurate $k$-means++ via Rejection Sampling	Unknown	PDF	N/A
Regularizing Towards Permutation Invariance In Recurrent Models	Unknown	PDF	N/A
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning	Unknown	PDF	N/A
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality	Unknown	PDF	N/A
Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret	Unknown	PDF	N/A
Bayesian Robust Optimization for Imitation Learning	Unknown	PDF	N/A
Auto Learning Attention	Unknown	PDF	N/A
Benchmarking Deep Learning Interpretability in Time Series Predictions	Unknown	PDF	N/A
Timeseries Anomaly Detection using Temporal Hierarchical One-Class Network	Unknown	PDF	N/A
Promoting Stochasticity for Expressive Policies via a Simple and Efficient Regularization Method	Unknown	PDF	N/A
Contextual Games: Multi-Agent Learning with Side Information	Unknown	PDF	N/A
Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks	Unknown	PDF	N/A
Semi-Supervised Neural Architecture Search	Unknown	PDF	N/A
Continual Learning in Low-rank Orthogonal Subspaces	Unknown	PDF	N/A
Learning to Play Sequential Games versus Unknown Opponents	Unknown	PDF	N/A
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions	Unknown	PDF	N/A
Collegial Ensembles	Unknown	PDF	N/A
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems	Unknown	PDF	N/A
Recursive Inference for Variational Autoencoders	Unknown	PDF	N/A
MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics	Unknown	PDF	N/A
MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles	Unknown	PDF	N/A
Curriculum Learning by Dynamic Instance Hardness	Unknown	PDF	N/A
Inverting Gradients - How easy is it to break privacy in federated learning?	Unknown	PDF	N/A
Efficient Clustering for Stretched Mixtures: Landscape and Optimality	Unknown	PDF	N/A
Learning Restricted Boltzmann Machines with Sparse Latent Variables	Unknown	PDF	N/A
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs	Unknown	PDF	N/A
Understanding and Improving Fast Adversarial Training	Unknown	PDF	N/A
PyGlove: Symbolic Programming for Automated Machine Learning	Unknown	PDF	N/A
How do fair decisions fare in long-term qualification?	Unknown	PDF	N/A
DynaBERT: Dynamic BERT with Adaptive Width and Depth	Unknown	PDF	N/A
On the Expressiveness of Approximate Inference in Bayesian Neural Networks	Unknown	PDF	N/A
Reinforcement Learning for Control with Multiple Frequencies	Unknown	PDF	N/A
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning	Unknown	PDF	N/A
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning	Unknown	PDF	N/A
CrossTransformers: spatially-aware few-shot transfer	Unknown	PDF	N/A
Multimodal Graph Networks for Compositional Generalization in Visual Question Answering	Unknown	PDF	N/A
Margins are Insufficient for Explaining Gradient Boosting	Unknown	PDF	N/A
Interferobot: aligning an optical interferometer by a reinforcement learning agent	Unknown	PDF	N/A
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning	Unknown	PDF	N/A
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes	Unknown	PDF	N/A
Robust Reinforcement Learning via Adversarial training with Langevin Dynamics	Unknown	PDF	N/A
Object-Centric Learning with Slot Attention	Unknown	PDF	N/A
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data	Unknown	PDF	N/A
An Improved Analysis of Stochastic Gradient Descent with Momentum	Unknown	PDF	N/A
Dark Experience for General Continual Learning: a Strong, Simple Baseline	Unknown	PDF	N/A
Bidirectional Convolutional Poisson Gamma Dynamical Systems	Unknown	PDF	N/A
Language Through a Prism: A Spectral Approach for Multiscale Language Representations	Unknown	PDF	N/A
Language Models are Few-Shot Learners	Unknown	PDF	N/A
Counterfactual Vision-and-Language Navigation: Unravelling the Unseen	Unknown	PDF	N/A
Instance Based Approximations to Profile Maximum Likelihood	Unknown	PDF	N/A
CoMIR: Contrastive Multimodal Image Representation for Registration	Unknown	PDF	N/A
Latent World Models For Intrinsically Motivated Exploration	Unknown	PDF	N/A
Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games	Unknown	PDF	N/A
Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions	Unknown	PDF	N/A
Deep Variational Instance Segmentation	Unknown	PDF	N/A
Bandit Samplers for Training Graph Neural Networks	Unknown	PDF	N/A
Cycle-Contrast for Self-Supervised Video Representation Learning	Unknown	PDF	N/A
Reconciling Modern Deep Learning with Traditional Optimization Analyses: The Intrinsic Learning Rate	Unknown	PDF	N/A
Planning in Markov Decision Processes with Gap-Dependent Sample Complexity	Unknown	PDF	N/A
Hierarchical Poset Decoding for Compositional Generalization in Language	Unknown	PDF	N/A
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation	Unknown	PDF	N/A
Field-wise Learning for Multi-field Categorical Data	Unknown	PDF	N/A
What Did You Think Would Happen? Explaining Agent Behaviour through Intended Outcomes	Unknown	PDF	N/A
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks	Unknown	PDF	N/A
ContraGAN: Contrastive Learning for Conditional Image Generation	Unknown	PDF	N/A
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems	Unknown	PDF	N/A
Understanding the Role of Training Regimes in Continual Learning	Unknown	PDF	N/A
Optimal Iterative Sketching Methods with the Subsampled Randomized Hadamard Transform	Unknown	PDF	N/A
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts	Unknown	PDF	N/A
Exploiting MMD and Sinkhorn Divergences for Fair and Transferable Representation Learning	Unknown	PDF	N/A
Neural Anisotropy Directions	Unknown	PDF	N/A
Neural Power Units	Unknown	PDF	N/A
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective	Unknown	PDF	N/A
Fairness without Demographics through Adversarially Reweighted Learning	Unknown	PDF	N/A
Scalable Belief Propagation via Relaxed Scheduling	Unknown	PDF	N/A
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming	Unknown	PDF	N/A
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine	Unknown	PDF	N/A
PlanGAN: Model-based Planning With Sparse Rewards and Multiple Goals	Unknown	PDF	N/A
Manifold GPLVMs for discovering non-Euclidean latent structure in neural data	Unknown	PDF	N/A
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift	Unknown	PDF	N/A
Improving Generalization in Reinforcement Learning with Mixture Regularization	Unknown	PDF	N/A
Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems	Unknown	PDF	N/A
A shooting formulation of deep learning	Unknown	PDF	N/A
Breaking the Communication-Privacy-Accuracy Trilemma	Unknown	PDF	N/A
Federated Accelerated Stochastic Gradient Descent	Unknown	PDF	N/A
Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization	Unknown	PDF	N/A
Learning Manifold Implicitly via Explicit Heat-Kernel Learning	Unknown	PDF	N/A
Do Adversarially Robust ImageNet Models Transfer Better?	Unknown	PDF	N/A
Neural Sparse Voxel Fields	Unknown	PDF	N/A
A Convolutional Auto-Encoder for Haplotype Assembly and Viral Quasispecies Reconstruction	Unknown	PDF	N/A
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning	Unknown	PDF	N/A
Hierarchical nucleation in deep neural networks	Unknown	PDF	N/A
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity	Unknown	PDF	N/A
Model Selection for Production System via Automated Online Experiments	Unknown	PDF	N/A
Batch normalization provably avoids ranks collapse for randomly initialised deep networks	Unknown	PDF	N/A
Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics	Unknown	PDF	N/A
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm	Unknown	PDF	N/A
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks	Unknown	PDF	N/A
Adversarial Counterfactual Learning and Evaluation for Recommender System	Unknown	PDF	N/A
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors	Unknown	PDF	N/A
Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces	Unknown	PDF	N/A
Differentiable Meta-Learning of Bandit Policies	Unknown	PDF	N/A
Independent Policy Gradient Methods for Competitive Reinforcement Learning	Unknown	PDF	N/A
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout	Unknown	PDF	N/A
Co-exposure Maximization in Online Social Networks	Unknown	PDF	N/A
Predictive Information Accelerates Learning in RL	Unknown	PDF	N/A
Group-Fair Online Allocation in Continuous Time	Unknown	PDF	N/A
Profile Entropy: A Fundamental Measure for the Learnability and Compressibility of Distributions	Unknown	PDF	N/A
Tight last-iterate convergence rates for no-regret learning in multi-player games	Unknown	PDF	N/A
Inductive Quantum Embedding	Unknown	PDF	N/A
Chaos, Extremism and Optimism: Volume Analysis of Learning in Games	Unknown	PDF	N/A
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks	Unknown	PDF	N/A
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning	Unknown	PDF	N/A
Learning Guidance Rewards with Trajectory-space Smoothing	Unknown	PDF	N/A
Learning Representations from Audio-Visual Spatial Alignment	Unknown	PDF	N/A
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization	Unknown	PDF	N/A
Matrix Completion with Hierarchical Graph Side Information	Unknown	PDF	N/A
On Regret with Multiple Best Arms	Unknown	PDF	N/A
Delay and Cooperation in Nonstochastic Linear Bandits	Unknown	PDF	N/A
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs	Unknown	PDF	N/A
A Limitation of the PAC-Bayes Framework	Unknown	PDF	N/A
Implicit Distributional Reinforcement Learning	Unknown	PDF	N/A
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation	Unknown	PDF	N/A
Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough	Unknown	PDF	N/A
Attribution Preservation in Network Compression for Reliable Network Interpretation	Unknown	PDF	N/A
Neural Complexity Measures	Unknown	PDF	N/A
Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge	Unknown	PDF	N/A
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model	Unknown	PDF	N/A
Mutual exclusivity as a challenge for deep neural networks	Unknown	PDF	N/A
MATE: Plugging in Model Awareness to Task Embedding for Meta Learning	Unknown	PDF	N/A
Cross-lingual Retrieval for Iterative Self-Supervised Training	Unknown	PDF	N/A
Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms	Unknown	PDF	N/A
Continuous Meta-Learning without Tasks	Unknown	PDF	N/A
FleXOR: Trainable Fractional Quantization	Unknown	PDF	N/A
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models	Unknown	PDF	N/A
O(n) Connections are Expressive Enough: Universal Approximability of Sparse Transformers	Unknown	PDF	N/A
Adam with Bandit Sampling for Deep Learning	Unknown	PDF	N/A
Using noise to probe recurrent neural network structure and prune synapses	Unknown	PDF	N/A
Understanding Deep Architecture with Reasoning Layer	Unknown	PDF	N/A
Worst-Case Analysis for Randomly Collected Data	Unknown	PDF	N/A
Cooperative Heterogeneous Deep Reinforcement Learning	Unknown	PDF	N/A
Random Reshuffling: Simple Analysis with Vast Improvements	Unknown	PDF	N/A
A Novel Approach for Constrained Optimization in Graphical Models	Unknown	PDF	N/A
Winning the Lottery with Continuous Sparsification	Unknown	PDF	N/A
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding	Unknown	PDF	N/A
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation	Unknown	PDF	N/A
Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding	Unknown	PDF	N/A
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning	Unknown	PDF	N/A
Proximal Mapping for Deep Regularization	Unknown	PDF	N/A
ShiftAddNet: A Hardware-Inspired Deep Network	Unknown	PDF	N/A
A Catalyst Framework for Minimax Optimization	Unknown	PDF	N/A
A Computational Separation between Private Learning and Online Learning	Unknown	PDF	N/A
Explainable Voting	Unknown	PDF	N/A
Neural encoding with visual attention	Unknown	PDF	N/A
Linear-Sample Learning of Low-Rank Distributions	Unknown	PDF	N/A
Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks	Unknown	PDF	N/A
Constrained episodic reinforcement learning in concave-convex and knapsack settings	Unknown	PDF	N/A
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning	Unknown	PDF	N/A
The Complete Lasso Tradeoff Diagram	Unknown	PDF	N/A
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings	Unknown	PDF	N/A
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks	Unknown	PDF	N/A
Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction	Unknown	PDF	N/A
Graph Contrastive Learning with Augmentations	Unknown	PDF	N/A
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes	Unknown	PDF	N/A
ARMA Nets: Expanding Receptive Field for Dense Prediction	Unknown	PDF	N/A
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks	Unknown	PDF	N/A
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs	Unknown	PDF	N/A
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward	Unknown	PDF	N/A
RandAugment: Practical Automated Data Augmentation with a Reduced Search Space	Unknown	PDF	N/A
Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization	Unknown	PDF	N/A
First Order Constrained Optimization in Policy Space	Unknown	PDF	N/A
Sinkhorn Barycenter via Functional Gradient Descent	Unknown	PDF	N/A
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees	Unknown	PDF	N/A
Statistical Optimal Transport posed as Learning Kernel Embedding	Unknown	PDF	N/A
Matrix Inference and Estimation in Multi-Layer Models	Unknown	PDF	N/A
Pruning neural networks without any data by iteratively conserving synaptic flow	Unknown	PDF	N/A
Offline Imitation Learning with a Misspecified Simulator	Unknown	PDF	N/A
Training Stronger Baselines for Learning to Optimize	Unknown	PDF	N/A
Sinkhorn Natural Gradient for Generative Models	Unknown	PDF	N/A
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems	Unknown	PDF	N/A
FedSplit: an algorithmic framework for fast federated optimization	Unknown	PDF	N/A
Precise expressions for random projections: Low-rank approximation and randomized Newton	Unknown	PDF	N/A
Modern Hopfield Networks and Attention for Immune Repertoire Classification	Unknown	PDF	N/A
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes	Unknown	PDF	N/A
The Lottery Ticket Hypothesis for Pre-trained BERT Networks	Unknown	PDF	N/A
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty	Unknown	PDF	N/A
SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory	Unknown	PDF	N/A
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints	Unknown	PDF	N/A
Making Non-Stochastic Control (Almost) as Easy as Stochastic	Unknown	PDF	N/A
Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method	Unknown	PDF	N/A
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch	Unknown	PDF	N/A
Robust Multi-Agent Reinforcement Learning with Model Uncertainty	Unknown	PDF	N/A
Differentially Private Clustering: Tight Approximation Ratios	Unknown	PDF	N/A
FrugalML: How to use ML Prediction APIs more accurately and cheaply	Unknown	PDF	N/A
Rethinking the Value of Labels for Improving Class-Imbalanced Learning	Unknown	PDF	N/A
On Convergence and Generalization of Dropout Training	Unknown	PDF	N/A
Counterfactual Prediction for Bundle Treatment	Unknown	PDF	N/A
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels	Unknown	PDF	N/A
Measuring Robustness to Natural Distribution Shifts in Image Classification	Unknown	PDF	N/A
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient	Unknown	PDF	N/A
Online Linear Optimization with Many Hints	Unknown	PDF	N/A
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence	Unknown	PDF	N/A
Hitting the High Notes: Subset Selection for Maximizing Expected Order Statistics	Unknown	PDF	N/A
Demystifying Orthogonal Monte Carlo and Beyond	Unknown	PDF	N/A
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization	Unknown	PDF	N/A
A Dynamical Central Limit Theorem for Shallow Neural Networks	Unknown	PDF	N/A
Dual-Resolution Correspondence Networks	Unknown	PDF	N/A
Near-Optimal Reinforcement Learning with Self-Play	Unknown	PDF	N/A
An Unsupervised Information-Theoretic Perceptual Quality Metric	Unknown	PDF	N/A
Exact expressions for double descent and implicit regularization via surrogate random design	Unknown	PDF	N/A
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference	Unknown	PDF	N/A
Bayesian Attention Modules	Unknown	PDF	N/A
Uncertainty Quantification for Inferring Hawkes Networks	Unknown	PDF	N/A
Position-based Scaled Gradient for Model Quantization and Pruning	Unknown	PDF	N/A
A Bayesian Perspective on Training Speed and Model Selection	Unknown	PDF	N/A
Meta-Learning Requires Meta-Augmentation	Unknown	PDF	N/A
Tensor Completion Made Practical	Unknown	PDF	N/A
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge	Unknown	PDF	N/A
Learning Black-Box Attackers with Transferable Priors and Query Feedback	Unknown	PDF	N/A
Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds	Unknown	PDF	N/A
Estimating decision tree learnability with polylogarithmic sample complexity	Unknown	PDF	N/A
Generalized Leverage Score Sampling for Neural Networks	Unknown	PDF	N/A
On Reward-Free Reinforcement Learning with Linear Function Approximation	Unknown	PDF	N/A
Causal Estimation with Functional Confounders	Unknown	PDF	N/A
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization	Unknown	PDF	N/A
Nonasymptotic Guarantees for Spiked Matrix Recovery with Generative Priors	Unknown	PDF	N/A
Funnel-Transformer: Filtering out Sequential Redundancy for Efficient Language Processing	Unknown	PDF	N/A
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA	Unknown	PDF	N/A
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks	Unknown	PDF	N/A
On Adaptive Attacks to Adversarial Example Defenses	Unknown	PDF	N/A
Universal guarantees for decision tree induction via a higher-order splitting criterion	Unknown	PDF	N/A
Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification	Unknown	PDF	N/A
Learning Structured Distributions From Untrusted Batches: Faster and Simpler	Unknown	PDF	N/A
Distributed Newton Can Communicate Less and Resist Byzantine Workers	Unknown	PDF	N/A
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability	Unknown	PDF	N/A
Identifying Learning Rules From Neural Network Observables	Unknown	PDF	N/A
Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation	Unknown	PDF	N/A
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes	Unknown	PDF	N/A
Gradient-EM Bayesian Meta-Learning	Unknown	PDF	N/A
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning	Unknown	PDF	N/A
Understanding and Exploring the Network with Stochastic Architectures	Unknown	PDF	N/A
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability	Unknown	PDF	N/A
Causal Discovery in Physical Systems from Videos	Unknown	PDF	N/A
Learning Compositional Rules via Neural Program Synthesis	Unknown	PDF	N/A
Implicit Regularization and Convergence for Weight Normalization	Unknown	PDF	N/A
Stage-wise Conservative Linear Bandits	Unknown	PDF	N/A
Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes	Unknown	PDF	N/A
Consistency Regularization for Certified Robustness of Smoothed Classifiers	Unknown	PDF	N/A
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs	Unknown	PDF	N/A
Open Graph Benchmark: Datasets for Machine Learning on Graphs	Unknown	PDF	N/A
Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks	Unknown	PDF	N/A
Preference-based Reinforcement Learning with Finite-Time Guarantees	Unknown	PDF	N/A
Predicting Training Time Without Training	Unknown	PDF	N/A
Practical No-box Adversarial Attacks against DNNs	Unknown	PDF	N/A
Neural Networks with Recurrent Generative Feedback	Unknown	PDF	N/A
AViD Dataset: Anonymized Videos from Diverse Countries	Unknown	PDF	N/A
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks	Unknown	PDF	N/A
Deep Direct Likelihood Knockoffs	Unknown	PDF	N/A
Calibrated Reliable Regression using Maximum Mean Discrepancy	Unknown	PDF	N/A
Instance-based Generalization in Reinforcement Learning	Unknown	PDF	N/A
Tight First- and Second-Order Regret Bounds for Adversarial Linear Bandits	Unknown	PDF	N/A
Community detection using fast low-cardinality semidefinite programming	Unknown	PDF	N/A
Randomized tests for high-dimensional regression: A more efficient and powerful solution	Unknown	PDF	N/A
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?	Unknown	PDF	N/A
Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition	Unknown	PDF	N/A
Robust Pre-Training by Adversarial Contrastive Learning	Unknown	PDF	N/A
Asymptotically Optimal Exact Minibatch Metropolis-Hastings	Unknown	PDF	N/A
Interpretable and Personalized Apprenticeship Scheduling: Learning Interpretable Scheduling Policies from Heterogeneous User Demonstrations	Unknown	PDF	N/A
Towards Better Generalization of Adaptive Gradient Methods	Unknown	PDF	N/A
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization	Unknown	PDF	N/A
Online Convex Optimization Over Erdos-Renyi Random Networks	Unknown	PDF	N/A
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning	Unknown	PDF	N/A
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks	Unknown	PDF	N/A
Sampling-Decomposable Generative Adversarial Recommender	Unknown	PDF	N/A
Boundary thickness and robustness in learning models	Unknown	PDF	N/A
Consistent Structural Relation Learning for Zero-Shot Segmentation	Unknown	PDF	N/A
Statistical-Query Lower Bounds via Functional Gradients	Unknown	PDF	N/A
Reward-rational (implicit) choice: A unifying formalism for reward learning	Unknown	PDF	N/A
Partially View-aligned Clustering	Unknown	PDF	N/A
How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods	Unknown	PDF	N/A
Succinct and Robust Multi-Agent Communication With Temporal Message Control	Unknown	PDF	N/A
Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning	Unknown	PDF	N/A
Learning Utilities and Equilibria in Non-Truthful Auctions	Unknown	PDF	N/A
Weston-Watkins Hinge Loss and Ordered Partitions	Unknown	PDF	N/A
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks	Unknown	PDF	N/A
Personalized Federated Learning with Moreau Envelopes	Unknown	PDF	N/A
Reciprocal Adversarial Learning via Characteristic Functions	Unknown	PDF	N/A
AutoSync: Learning to Synchronize for Data-Parallel Distributed Deep Learning	Unknown	PDF	N/A
Input-Aware Dynamic Backdoor Attack	Unknown	PDF	N/A
Uncertainty Aware Semi-Supervised Learning on Graph Data	Unknown	PDF	N/A
Generalised Bayesian Filtering via Sequential Monte Carlo	Unknown	PDF	N/A
Optimizing Mode Connectivity via Neuron Alignment	Unknown	PDF	N/A
Non-Stochastic Control with Bandit Feedback	Unknown	PDF	N/A
A Biologically Plausible Neural Network for Slow Feature Analysis	Unknown	PDF	N/A
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows	Unknown	PDF	N/A
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting	Unknown	PDF	N/A
A Benchmark for Systematic Generalization in Grounded Language Understanding	Unknown	PDF	N/A
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses	Unknown	PDF	N/A
Patch2Self: Denoising Diffusion MRI with Self-Supervised Learning​	Unknown	PDF	N/A
Marginal Utility for Planning in Continuous or Large Discrete Action Spaces	Unknown	PDF	N/A
Learning Linear Programs from Optimal Decisions	Unknown	PDF	N/A
Unsupervised Learning of Dense Visual Representations	Unknown	PDF	N/A
Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy	Unknown	PDF	N/A
Sparse Symplectically Integrated Neural Networks	Unknown	PDF	N/A
Continual Learning of Control Primitives : Skill Discovery via Reset-Games	Unknown	PDF	N/A
Distributionally Robust Federated Averaging	Unknown	PDF	N/A
Learning by Minimizing the Sum of Ranked Range	Unknown	PDF	N/A
From Boltzmann Machines to Neural Networks and Back Again	Unknown	PDF	N/A
Efficient Learning of Discrete Graphical Models	Unknown	PDF	N/A
MetaPoison: Practical General-purpose Clean-label Data Poisoning	Unknown	PDF	N/A
BayReL: Bayesian Relational Learning for Multi-omics Data Integration	Unknown	PDF	N/A
Why are Adaptive Methods Good for Attention Models?	Unknown	PDF	N/A
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms	Unknown	PDF	N/A
Learning Optimal Representations with the Decodable Information Bottleneck	Unknown	PDF	N/A
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks	Unknown	PDF	N/A
Fair Hierarchical Clustering	Unknown	PDF	N/A
MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation	Unknown	PDF	N/A
Program Synthesis with Pragmatic Communication	Unknown	PDF	N/A
Sparse and Continuous Attention Mechanisms	Unknown	PDF	N/A
TorsionNet: A Reinforcement Learning Approach to Sequential Conformer Search	Unknown	PDF	N/A
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo	Unknown	PDF	N/A
Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows	Unknown	PDF	N/A
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps	Unknown	PDF	N/A
Finite-Time Analysis for Double Q-learning	Unknown	PDF	N/A
Adversarial robustness via robust low rank representations	Unknown	PDF	N/A
Understanding Gradient Clipping in Private SGD: A Geometric Perspective	Unknown	PDF	N/A
The Flajolet-Martin Sketch Itself Preserves Differential Privacy: Private Counting with Minimal Space	Unknown	PDF	N/A
General Control Functions for Causal Effect Estimation from IVs	Unknown	PDF	N/A
Large-Scale Methods for Distributionally Robust Optimization	Unknown	PDF	N/A
Towards a Better Global Loss Landscape of GANs	Unknown	PDF	N/A
Flexible mean field variational inference using mixtures of non-overlapping exponential families	Unknown	PDF	N/A
A Fair Classifier Using Kernel Density Estimation	Unknown	PDF	N/A
Sequential Bayesian Experimental Design with Variable Cost Structure	Unknown	PDF	N/A
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering	Unknown	PDF	N/A
Barking up the right tree: an approach to search over molecule synthesis DAGs	Unknown	PDF	N/A
Exemplar Guided Active Learning	Unknown	PDF	N/A
Subgraph Neural Networks	Unknown	PDF	N/A
Multi-Plane Program Induction with 3D Box Priors	Unknown	PDF	N/A
X-CAL: Explicit Calibration for Survival Analysis	Unknown	PDF	N/A
Smoothed Geometry for Robust Attribution	Unknown	PDF	N/A
Interior Point Solving for LP-based prediction+optimisation	Unknown	PDF	N/A
Privacy Amplification via Random Check-Ins	Unknown	PDF	N/A
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs	Unknown	PDF	N/A
Dynamic Regret of Policy Optimization in Non-Stationary Environments	Unknown	PDF	N/A
Learning Invariances in Neural Networks from Training Data	Unknown	PDF	N/A
Geometric All-way Boolean Tensor Decomposition	Unknown	PDF	N/A
Generalized Hindsight for Reinforcement Learning	Unknown	PDF	N/A
Automatic Curriculum Learning through Value Disagreement	Unknown	PDF	N/A
DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction	Unknown	PDF	N/A
Ensuring Fairness Beyond the Training Data	Unknown	PDF	N/A
Reward Propagation Using Graph Convolutional Networks	Unknown	PDF	N/A
Neurosymbolic Reinforcement Learning with Formally Verified Exploration	Unknown	PDF	N/A
Learning to Select Best Forecast Tasks for Clinical Outcome Prediction	Unknown	PDF	N/A
Fairness with Overlapping Groups; a Probabilistic Perspective	Unknown	PDF	N/A
Generalization Bound of Gradient Descent for Non-Convex Metric Learning	Unknown	PDF	N/A
Reconsidering Generative Objectives For Counterfactual Reasoning	Unknown	PDF	N/A
Optimizing Neural Networks via Koopman Operator Theory	Unknown	PDF	N/A
Predictive coding in balanced neural networks with noise, chaos and delays	Unknown	PDF	N/A
Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control	Unknown	PDF	N/A
Adversarial Blocking Bandits	Unknown	PDF	N/A
Inference for Batched Bandits	Unknown	PDF	N/A
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects	Unknown	PDF	N/A
Markovian Score Climbing: Variational Inference with KL(p		q)	Unknown
IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method	Unknown	PDF	N/A
Rethinking Pre-training and Self-training	Unknown	PDF	N/A
Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons	Unknown	PDF	N/A
The Generalization-Stability Tradeoff In Neural Network Pruning	Unknown	PDF	N/A
Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights	Unknown	PDF	N/A
The Cone of Silence: Speech Separation by Localization	Unknown	PDF	N/A
Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions	Unknown	PDF	N/A
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms	Unknown	PDF	N/A
Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery	Unknown	PDF	N/A
Learning Physical Graph Representations from Visual Scenes	Unknown	PDF	N/A
Complex Dynamics in Simple Neural Networks: Understanding Gradient Flow in Phase Retrieval	Unknown	PDF	N/A
Why Normalizing Flows Fail to Detect Out-of-Distribution Data	Unknown	PDF	N/A
Demixed shared component analysis of neural population data from multiple brain areas	Unknown	PDF	N/A
Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?	Unknown	PDF	N/A
Constant-Expansion Suffices for Compressed Sensing with Generative Priors	Unknown	PDF	N/A
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis	Unknown	PDF	N/A
Pointer Graph Networks	Unknown	PDF	N/A
Thunder: a Fast Coordinate Selection Solver for Sparse Learning	Unknown	PDF	N/A
MOPO: Model-based Offline Policy Optimization	Unknown	PDF	N/A
Reinforcement Learning with Combinatorial Actions: An Application to Vehicle Routing	Unknown	PDF	N/A
From Predictions to Decisions: Using Lookahead Regularization	Unknown	PDF	N/A
Robust Federated Learning: The Case of Affine Distribution Shifts	Unknown	PDF	N/A
Learning the Geometry of Wave-Based Imaging	Unknown	PDF	N/A
Random Reshuffling is Not Always Better	Unknown	PDF	N/A
Learning Composable Energy Surrogates for PDE Order Reduction	Unknown	PDF	N/A
COBE: Contextualized Object Embeddings from Narrated Instructional Video	Unknown	PDF	N/A
Optimal Learning from Verified Training Data	Unknown	PDF	N/A
Counterexample-Guided Learning of Monotonic Neural Networks	Unknown	PDF	N/A
Toward the Fundamental Limits of Imitation Learning	Unknown	PDF	N/A
Targeted Adversarial Perturbations for Monocular Depth Prediction	Unknown	PDF	N/A
Supermasks in Superposition	Unknown	PDF	N/A
Online Agnostic Boosting via Regret Minimization	Unknown	PDF	N/A
Differentiable Causal Discovery from Interventional Data	Unknown	PDF	N/A
Truncated Linear Regression in High Dimensions	Unknown	PDF	N/A
Design Space for Graph Neural Networks	Unknown	PDF	N/A
Adversarial Example Games	Unknown	PDF	N/A
WoodFisher: Efficient Second-Order Approximation for Neural Network Compression	Unknown	PDF	N/A
Differentiable Augmentation for Data-Efficient GAN Training	Unknown	PDF	N/A
Taming Discrete Integration via the Boon of Dimensionality	Unknown	PDF	N/A
On the Theory of Transfer Learning: The Importance of Task Diversity	Unknown	PDF	N/A
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning	Unknown	PDF	N/A
Learning identifiable and interpretable latent models of high-dimensional neural activity using pi-VAE	Unknown	PDF	N/A
Agnostic Learning of a Single Neuron with Gradient Descent	Unknown	PDF	N/A
Coded Sequential Matrix Multiplication For Straggler Mitigation	Unknown	PDF	N/A
Depth Uncertainty in Neural Networks	Unknown	PDF	N/A
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization	Unknown	PDF	N/A
Interpretable multi-timescale models for predicting fMRI responses to continuous natural speech	Unknown	PDF	N/A
Simple and Scalable Sparse k-means Clustering via Feature Ranking	Unknown	PDF	N/A
Strictly Batch Imitation Learning by Energy-based Distribution Matching	Unknown	PDF	N/A
Off-Policy Evaluation via the Regularized Lagrangian	Unknown	PDF	N/A
Online Non-Convex Optimization with Imperfect Feedback	Unknown	PDF	N/A
Identifying Mislabeled Data using the Area Under the Margin Ranking	Unknown	PDF	N/A
See, Hear, Explore: Curiosity via Audio-Visual Association	Unknown	PDF	N/A
Probabilistic Fair Clustering	Unknown	PDF	N/A
Byzantine Resilient Distributed Multi-Task Learning	Unknown	PDF	N/A
Geometric Exploration for Online Control	Unknown	PDF	N/A
Autofocused oracles for model-based design	Unknown	PDF	N/A
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning	Unknown	PDF	N/A
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium	Unknown	PDF	N/A
Stability of Stochastic Gradient Descent on Nonsmooth Convex Losses	Unknown	PDF	N/A
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs	Unknown	PDF	N/A
Differentiable Top-k with Optimal Transport	Unknown	PDF	N/A
Reinforcement Learning with Augmented Data	Unknown	PDF	N/A
Factorizable Graph Convolutional Networks	Unknown	PDF	N/A
Handling Missing Data with Graph Representation Learning	Unknown	PDF	N/A
Online Bayesian Persuasion	Unknown	PDF	N/A
Graphon Neural Networks and the Transferability of Graph Neural Networks	Unknown	PDF	N/A
Linearly Converging Error Compensated SGD	Unknown	PDF	N/A
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them	Unknown	PDF	N/A
Efficient Contextual Bandits with Continuous Actions	Unknown	PDF	N/A
From Trees to Continuous Embeddings and Back: Hyperbolic Hierarchical Clustering	Unknown	PDF	N/A
Stochastic Optimization with Heavy-Tailed Noise via Accelerated Gradient Clipping	Unknown	PDF	N/A
Smoothed Analysis of Online and Differentially Private Learning	Unknown	PDF	N/A
Learning Rich Rankings	Unknown	PDF	N/A
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals	Unknown	PDF	N/A
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine Tuning	Unknown	PDF	N/A
Investigating Gender Bias in Language Models Using Causal Mediation Analysis	Unknown	PDF	N/A
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games	Unknown	PDF	N/A
Statistical Guarantees of Distributed Nearest Neighbor Classification	Unknown	PDF	N/A
Learning Differentiable Programs with Admissible Neural Heuristics	Unknown	PDF	N/A
Learning Certified Individually Fair Representations	Unknown	PDF	N/A
Breaking Reversibility Accelerates Langevin Dynamics for Non-Convex Optimization	Unknown	PDF	N/A
Debiasing Averaged Stochastic Gradient Descent to handle missing values	Unknown	PDF	N/A
Large-Scale Adversarial Training for Vision-and-Language Representation Learning	Unknown	PDF	N/A
Learning from Mixtures of Private and Public Populations	Unknown	PDF	N/A
Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations	Unknown	PDF	N/A
Information theoretic limits of learning a sparse rule	Unknown	PDF	N/A
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee	Unknown	PDF	N/A
Reverse-engineering recurrent neural network solutions to a hierarchical inference task for mice	Unknown	PDF	N/A
Principal Neighbourhood Aggregation for Graph Nets	Unknown	PDF	N/A
Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes	Unknown	PDF	N/A
Look-ahead Meta Learning for Continual Learning	Unknown	PDF	N/A
Movement Pruning: Adaptive Sparsity by Fine-Tuning	Unknown	PDF	N/A
Fourier Sparse Leverage Scores and Approximate Kernel Learning	Unknown	PDF	N/A
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design	Unknown	PDF	N/A
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction	Unknown	PDF	N/A
Learning to Incentivize Other Learning Agents	Unknown	PDF	N/A
Improved Techniques for Training Score-Based Generative Models	Unknown	PDF	N/A
Learning Affordance Landscapes for Interaction Exploration in 3D Environments	Unknown	PDF	N/A
Debugging Tests for Model Explanations	Unknown	PDF	N/A
Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters	Unknown	PDF	N/A
UCLID-Net: Single View Reconstruction in Object Space	Unknown	PDF	N/A
Exploiting weakly supervised visual patterns to learn from partial annotations	Unknown	PDF	N/A
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory	Unknown	PDF	N/A
GradAug: A New Regularization Method for Deep Neural Networks	Unknown	PDF	N/A
Reducing Adversarially Robust Learning to Non-Robust PAC Learning	Unknown	PDF	N/A
Online Bayesian Goal Inference for Boundedly Rational Planning Agents	Unknown	PDF	N/A
A Robust Functional EM Algorithm for Incomplete Panel Count Data	Unknown	PDF	N/A
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks	Unknown	PDF	N/A
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow	Unknown	PDF	N/A
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor	Unknown	PDF	N/A
Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization	Unknown	PDF	N/A
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice	Unknown	PDF	N/A
Sharp uniform convergence bounds through empirical centralization	Unknown	PDF	N/A
Efficient Generation of Structured Objects with Constrained Adversarial Networks	Unknown	PDF	N/A
Disentangling by Subspace Diffusion	Unknown	PDF	N/A
Value-driven Hindsight Modelling	Unknown	PDF	N/A
Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion	Unknown	PDF	N/A
Regression with reject option and application to kNN	Unknown	PDF	N/A
A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods	Unknown	PDF	N/A
Deep Statistical Solvers	Unknown	PDF	N/A
POLY-HOOT: Monte-Carlo Planning in Continuous Space MDPs with Non-Asymptotic Analysis	Unknown	PDF	N/A
Dynamic allocation of limited memory resources in reinforcement learning	Unknown	PDF	N/A
Variational Policy Gradient Method for Reinforcement Learning with General Utilities	Unknown	PDF	N/A
A Topological Filter for Learning with Label Noise	Unknown	PDF	N/A
Node Embeddings and Exact Low-Rank Representations of Complex Networks	Unknown	PDF	N/A
Hyperparameter Ensembles for Robustness and Uncertainty Quantification	Unknown	PDF	N/A
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment	Unknown	PDF	N/A
Faithful Embeddings for Knowledge Base Queries	Unknown	PDF	N/A
The interplay between randomness and structure during learning in RNNs	Unknown	PDF	N/A
Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization	Unknown	PDF	N/A
On Efficiency in Hierarchical Reinforcement Learning	Unknown	PDF	N/A
Cross-validation Confidence Intervals for Test Error	Unknown	PDF	N/A
Learning Graph Structure With A Finite-State Automaton Layer	Unknown	PDF	N/A
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach	Unknown	PDF	N/A
Continuous Submodular Maximization: Beyond DR-Submodularity	Unknown	PDF	N/A
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs	Unknown	PDF	N/A
Joint Contrastive Learning with Infinite Possibilities	Unknown	PDF	N/A
Gradient Estimation with Stochastic Softmax Tricks	Unknown	PDF	N/A
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms	Unknown	PDF	N/A
The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes	Unknown	PDF	N/A
Compressing Images by Encoding Their Latent Representations with Relative Entropy Coding	Unknown	PDF	N/A
An operator view of policy gradient methods	Unknown	PDF	N/A
Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming	Unknown	PDF	N/A
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning	Unknown	PDF	N/A
UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree	Unknown	PDF	N/A
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the Hessian	Unknown	PDF	N/A
CoinDICE: Off-Policy Confidence Interval Estimation	Unknown	PDF	N/A
Learning Latent Space Energy-Based Prior Model	Unknown	PDF	N/A
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation	Unknown	PDF	N/A
On the Modularity of Hypernetworks	Unknown	PDF	N/A
On Uniform Convergence and Low-Norm Interpolation Learning	Unknown	PDF	N/A
Sufficient dimension reduction for classification using principal optimal transport direction	Unknown	PDF	N/A
Faster Randomized Infeasible Interior Point Methods for Tall/Wide Linear Programs	Unknown	PDF	N/A
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability	Unknown	PDF	N/A
List-Decodable Mean Estimation via Iterative Multi-Filtering	Unknown	PDF	N/A
Distributionally Robust Local Non-parametric Conditional Estimation	Unknown	PDF	N/A
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities	Unknown	PDF	N/A
Exploiting Higher Order Smoothness in Derivative-free Optimization and Continuous Bandits	Unknown	PDF	N/A
Better Set Representations For Relational Reasoning	Unknown	PDF	N/A
Decision trees as partitioning machines to characterize their generalization properties	Unknown	PDF	N/A
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Color Visual Illusions: A Statistics-based Computational Model	Unknown	PDF	N/A
Online Learning with Primary and Secondary Losses	Unknown	PDF	N/A
Learning with Differentiable Pertubed Optimizers	Unknown	PDF	N/A
MRI Banding Removal via Adversarial Training	Unknown	PDF	N/A
Distributed Distillation for On-Device Learning	Unknown	PDF	N/A
Stochastic Gradient Descent in Correlated Settings: A Study on Gaussian Processes	Unknown	PDF	N/A
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification	Unknown	PDF	N/A
Self-Supervised Few-Shot Learning on Point Clouds	Unknown	PDF	N/A
Approximate Cross-Validation for Structured Models	Unknown	PDF	N/A
An Efficient Framework for Clustered Federated Learning	Unknown	PDF	N/A
Gaussian Gated Linear Networks	Unknown	PDF	N/A
3D Shape Reconstruction from Vision and Touch	Unknown	PDF	N/A
Soft Contrastive Learning for Visual Localization	Unknown	PDF	N/A
Online Robust Regression via SGD on the l1 loss	Unknown	PDF	N/A
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift	Unknown	PDF	N/A
A Causal View on Robustness of Neural Networks	Unknown	PDF	N/A
Listening to Sounds of Silence for Speech Denoising	Unknown	PDF	N/A
The NetHack Learning Environment	Unknown	PDF	N/A
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? --- A Neural Tangent Kernel Perspective	Unknown	PDF	N/A
Multi-Task Reinforcement Learning with Soft Modularization	Unknown	PDF	N/A
Causal Imitation Learning With Unobserved Confounders	Unknown	PDF	N/A
CSER: Communication-efficient SGD with Error Reset	Unknown	PDF	N/A
The All-or-Nothing Phenomenon in Sparse Tensor PCA	Unknown	PDF	N/A
Cooperative Multi-player Bandit Optimization	Unknown	PDF	N/A
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs	Unknown	PDF	N/A
The phase diagram of approximation rates for deep neural networks	Unknown	PDF	N/A
Deep Automodulators	Unknown	PDF	N/A
Storage Efficient and Dynamic Flexible Runtime Channel Pruning via Deep Reinforcement Learning	Unknown	PDF	N/A
The Statistical Cost of Robust Kernel Hyperparameter Turning	Unknown	PDF	N/A
Choice Bandits	Unknown	PDF	N/A
Reinforcement Learning with Feedback Graphs	Unknown	PDF	N/A
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel	Unknown	PDF	N/A
Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains	Unknown	PDF	N/A
On Second Order Behaviour in Augmented Neural ODEs	Unknown	PDF	N/A
Learning Object-Centric Representations of Multi-Object Scenes from Multiple Views	Unknown	PDF	N/A
Regret in Online Recommendation Systems	Unknown	PDF	N/A
An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay	Unknown	PDF	N/A
The Devil is in the Detail: A Framework for Macroscopic Prediction via Microscopic Models	Unknown	PDF	N/A
Can Graph Neural Networks Count Substructures?	Unknown	PDF	N/A
Ode to an ODE	Unknown	PDF	N/A
Approximate Cross-Validation with Low-Rank Data in High Dimensions	Unknown	PDF	N/A
Online Multitask Learning with Long-Term Memory	Unknown	PDF	N/A
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning	Unknown	PDF	N/A
CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation	Unknown	PDF	N/A
Unsupervised Translation of Programming Languages	Unknown	PDF	N/A
Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices	Unknown	PDF	N/A
STEER : Simple Temporal Regularization For Neural ODE	Unknown	PDF	N/A
Certifying Strategyproof Auction Networks	Unknown	PDF	N/A
A Spectral Energy Distance for Parallel Speech Synthesis	Unknown	PDF	N/A
Distributionally Robust Parametric Maximum Likelihood Estimation	Unknown	PDF	N/A
Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions	Unknown	PDF	N/A
Building powerful and equivariant graph neural networks with structural message-passing	Unknown	PDF	N/A
Meta-trained agents implement Bayes-optimal agents	Unknown	PDF	N/A
Compositional Visual Generation with Energy Based Models	Unknown	PDF	N/A
Task-agnostic Exploration in Reinforcement Learning	Unknown	PDF	N/A
Empirical Likelihood for Contextual Bandits	Unknown	PDF	N/A
Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning	Unknown	PDF	N/A
AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning	Unknown	PDF	N/A
Metric-Free Individual Fairness in Online Learning	Unknown	PDF	N/A
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis	Unknown	PDF	N/A
Deep Inverse Q-learning with Constraints	Unknown	PDF	N/A
Compact task representations as a normative model for higher-order brain activity	Unknown	PDF	N/A
Fast Transformers with Clustered Attention	Unknown	PDF	N/A
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree	Unknown	PDF	N/A
Fully Dynamic Algorithm for Constrained Submodular Optimization	Unknown	PDF	N/A
Stochastic Stein Discrepancies	Unknown	PDF	N/A
Unfolding recurrence by Green’s functions for optimized reservoir computing	Unknown	PDF	N/A
Guiding Deep Molecular Optimization with Genetic Exploration	Unknown	PDF	N/A
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction	Unknown	PDF	N/A
Debiased Contrastive Learning	Unknown	PDF	N/A
An analytic theory of shallow networks dynamics for hinge loss classification	Unknown	PDF	N/A
Classification with Valid and Adaptive Coverage	Unknown	PDF	N/A
High-Throughput Synchronous Deep RL	Unknown	PDF	N/A
Consistent feature selection for analytic deep neural networks	Unknown	PDF	N/A
OrganITE: Optimal transplant donor organ offering using an individual treatment effect	Unknown	PDF	N/A
On 1/n neural representation and robustness	Unknown	PDF	N/A
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning	Unknown	PDF	N/A
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity	Unknown	PDF	N/A
A simple normative network approximates local non-Hebbian learning in the cortex	Unknown	PDF	N/A
Boosting Adversarial Training with Hypersphere Embedding	Unknown	PDF	N/A
Robust Sequence Submodular Maximization	Unknown	PDF	N/A
Improving Policy-Constrained Kidney Exchange via Pre-Screening	Unknown	PDF	N/A
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks	Unknown	PDF	N/A
Estimating Training Data Influence by Tracing Gradient Descent	Unknown	PDF	N/A
MCUNet: Tiny Deep Learning on IoT Devices	Unknown	PDF	N/A
Bi-level Score Matching for Learning Energy-based Latent Variable Models	Unknown	PDF	N/A
Training Linear Finite-State Machines	Unknown	PDF	N/A
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances	Unknown	PDF	N/A
Robustness Analysis of Non-Convex Stochastic Gradient Descent using Biased Expectations	Unknown	PDF	N/A
PAC-Bayesian Bound for the Conditional Value at Risk	Unknown	PDF	N/A
Neuron Shapley: Discovering the Responsible Neurons	Unknown	PDF	N/A
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining	Unknown	PDF	N/A
Adversarial Robustness of Supervised Sparse Coding	Unknown	PDF	N/A
Efficient Learning of Generative Models via Finite-Difference Score Matching	Unknown	PDF	N/A
CLEARER: Multi-Scale Neural Architecture Search for Image Restoration	Unknown	PDF	N/A
Graph Meta Learning via Local Subgraphs	Unknown	PDF	N/A
Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization	Unknown	PDF	N/A
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS	Unknown	PDF	N/A
The LoCA Regret: A Consistent Metric to Evaluate Model-Based Behavior in Reinforcement Learning	Unknown	PDF	N/A
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks	Unknown	PDF	N/A
Digraph Inception Convolutional Networks	Unknown	PDF	N/A
Learning Disentangled Representations of Videos with Missing Data	Unknown	PDF	N/A
Graph Random Neural Networks for Semi-Supervised Learning on Graphs	Unknown	PDF	N/A
Smoothly Bounding User Contributions in Differential Privacy	Unknown	PDF	N/A
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs	Unknown	PDF	N/A
Zero-Resource Knowledge-Grounded Dialogue Generation	Unknown	PDF	N/A
Contrastive Learning with Adversarial Examples	Unknown	PDF	N/A
Sub-sampling for Efficient Non-Parametric Bandit Exploration	Unknown	PDF	N/A
Language and Visual Entity Relationship Graph for Agent Navigation	Unknown	PDF	N/A
A Combinatorial Perspective on Transfer Learning	Unknown	PDF	N/A
Learning Robust Decision Policies from Observational Data	Unknown	PDF	N/A
Neuron Merging: Compensating for Pruned Neurons	Unknown	PDF	N/A
Most ReLU Networks Suffer from $\ell^2$ Adversarial Perturbations	Unknown	PDF	N/A
Constraining Variational Inference with Geometric Jensen-Shannon Divergence	Unknown	PDF	N/A
Adversarial Learning for Robust Deep Clustering	Unknown	PDF	N/A
Biological credit assignment through dynamic inversion of feedforward networks	Unknown	PDF	N/A
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness	Unknown	PDF	N/A
Neural Networks Learning and Memorization with (almost) no Over-Parameterization	Unknown	PDF	N/A
Phase retrieval in high dimensions: Statistical and computational phase transitions	Unknown	PDF	N/A
From Finite to Countable-Armed Bandits	Unknown	PDF	N/A
A Variational Approach for Learning from Positive and Unlabeled Data	Unknown	PDF	N/A
Evidential Sparsification of Multimodal Latent Spaces in Conditional Variational Autoencoders	Unknown	PDF	N/A
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network	Unknown	PDF	N/A
Latent Dynamic Factor Analysis of High-Dimensional Neural Recordings	Unknown	PDF	N/A
Balanced Meta-Softmax for Long-Tailed Visual Recognition	Unknown	PDF	N/A
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Synthesizing Tasks for Block-based Programming	Unknown	PDF	N/A
Neutralizing Self-Selection Bias in Sampling for Sortition	Unknown	PDF	N/A
Learning Semantic-aware Normalization for Generative Adversarial Networks	Unknown	PDF	N/A
Causal analysis of Covid-19 Spread in Germany	Unknown	PDF	N/A
Posterior Re-calibration for Imbalanced Datasets	Unknown	PDF	N/A
Optimally Deceiving a Learning Leader in Stackelberg Games	Unknown	PDF	N/A
Regularizing Black-box Models for Improved Interpretability	Unknown	PDF	N/A
Model-based Policy Optimization with Unsupervised Model Adaptation	Unknown	PDF	N/A
GANSpace: Discovering Interpretable GAN Controls	Unknown	PDF	N/A
Effective Diversity in Population Based Reinforcement Learning	Unknown	PDF	N/A
Learning Invariants through Soft Unification	Unknown	PDF	N/A
Multi-Stage Influence Function	Unknown	PDF	N/A
On ranking via sorting by estimated expected utility	Unknown	PDF	N/A
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach	Unknown	PDF	N/A
Locally-Adaptive Nonparametric Online Learning	Unknown	PDF	N/A
Small Nash Equilibrium Certificates in Very Large Games	Unknown	PDF	N/A
Influence-Augmented Online Planning for Complex Environments	Unknown	PDF	N/A
Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework	Unknown	PDF	N/A
Community detection in sparse time-evolving graphs with a dynamical Bethe-Hessian	Unknown	PDF	N/A
Dynamic Submodular Maximization	Unknown	PDF	N/A
Discovering Reinforcement Learning Algorithms	Unknown	PDF	N/A
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization	Unknown	PDF	N/A
Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations	Unknown	PDF	N/A
VarGrad: A Low-Variance Gradient Estimator for Variational Inference	Unknown	PDF	N/A
Online Decision Based Visual Tracking via Reinforcement Learning	Unknown	PDF	N/A
Stationary Activations for Uncertainty Calibration in Deep Learning	Unknown	PDF	N/A
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity	Unknown	PDF	N/A
How hard is to distinguish graphs with graph neural networks?	Unknown	PDF	N/A
On Testing of Samplers	Unknown	PDF	N/A
Towards Scalable Bayesian Learning of Causal DAGs	Unknown	PDF	N/A
Variational Interaction Information Maximization for Cross-domain Disentanglement	Unknown	PDF	N/A
Synthetic Data Generators -- Sequential and Private	Unknown	PDF	N/A
The Convolution Exponential and Generalized Sylvester Flows	Unknown	PDF	N/A
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes	Unknown	PDF	N/A
Rational neural networks	Unknown	PDF	N/A
Non-Crossing Quantile Regression for Distributional Reinforcement Learning	Unknown	PDF	N/A
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence	Unknown	PDF	N/A
Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Real World Games Look Like Spinning Tops	Unknown	PDF	N/A
Fast Fourier Convolution	Unknown	PDF	N/A
Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space	Unknown	PDF	N/A
Stochastic Optimization for Performative Prediction	Unknown	PDF	N/A
A Self-Tuning Actor-Critic Algorithm	Unknown	PDF	N/A
A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval	Unknown	PDF	N/A
A Non-Asymptotic Analysis for Stein Variational Gradient Descent	Unknown	PDF	N/A
Restoring Negative Information in Few-Shot Object Detection	Unknown	PDF	N/A
Graph Stochastic Neural Networks for Semi-supervised Learning	Unknown	PDF	N/A
BoxE: A Box Embedding Model for Knowledge Base Completion	Unknown	PDF	N/A
Decentralized Accelerated Proximal Gradient Descent	Unknown	PDF	N/A
Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking	Unknown	PDF	N/A
Munchausen Reinforcement Learning	Unknown	PDF	N/A
Hierarchical Neural Architecture Search for Deep Stereo Matching	Unknown	PDF	N/A
Time-Reversal Symmetric ODE Network	Unknown	PDF	N/A
Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study	Unknown	PDF	N/A
CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection	Unknown	PDF	N/A
Learning Parities with Neural Networks	Unknown	PDF	N/A
Quantile Propagation for Wasserstein-Approximate Gaussian Processes	Unknown	PDF	N/A
The Implications of Local Correlation on Learning Some Deep Functions	Unknown	PDF	N/A
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport	Unknown	PDF	N/A
A Theoretical Framework for Target Propagation	Unknown	PDF	N/A
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels	Unknown	PDF	N/A
Statistical Efficiency of Thompson Sampling for Combinatorial Semi-Bandits	Unknown	PDF	N/A
Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples	Unknown	PDF	N/A
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation	Unknown	PDF	N/A
Efficient Clustering Based On A Unified View Of K-means And Ratio-cut	Unknown	PDF	N/A
Reservoir Computing meets Recurrent Kernels and Structured Transforms	Unknown	PDF	N/A
SuperLoss: A Generic Loss for Robust Curriculum Learning	Unknown	PDF	N/A
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation	Unknown	PDF	N/A
Lower Bounds and Optimal Algorithms for Personalized Federated Learning	Unknown	PDF	N/A
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance	Unknown	PDF	N/A
Deep Relational Topic Modeling via Graph Poisson Gamma Belief Network	Unknown	PDF	N/A
Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev	Unknown	PDF	N/A
Spike and slab variational Bayes for high dimensional logistic regression	Unknown	PDF	N/A
Linear Disentangled Representations and Unsupervised Action Estimation	Unknown	PDF	N/A
Interventional Few-Shot Learning	Unknown	PDF	N/A
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis	Unknown	PDF	N/A
A Randomized Algorithm to Reduce the Support of Discrete Measures	Unknown	PDF	N/A
BRP-NAS: Prediction-based NAS using GCNs	Unknown	PDF	N/A
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering	Unknown	PDF	N/A
Meta-Consolidation for Continual Learning	Unknown	PDF	N/A
Learning from Aggregate Observations	Unknown	PDF	N/A
Smooth And Consistent Probabilistic Regression Trees	Unknown	PDF	N/A
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems	Unknown	PDF	N/A
Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods	Unknown	PDF	N/A
CASTLE: Regularization via Auxiliary Causal Graph Discovery	Unknown	PDF	N/A
Prediction with Corrupted Expert Advice	Unknown	PDF	N/A
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality	Unknown	PDF	N/A
Model Inversion Networks for Model-Based Optimization	Unknown	PDF	N/A
Universal Function Approximation on Graphs	Unknown	PDF	N/A
Efficient active learning of sparse halfspaces with arbitrary bounded noise	Unknown	PDF	N/A
On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method	Unknown	PDF	N/A
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models	Unknown	PDF	N/A
Provably Efficient Neural GTD for Off-Policy Learning	Unknown	PDF	N/A
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search	Unknown	PDF	N/A
Probabilistic Circuits for Variational Inference in Discrete Graphical Models	Unknown	PDF	N/A
Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization	Unknown	PDF	N/A
Falcon: Fast Spectral Inference on Encrypted Data	Unknown	PDF	N/A
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation	Unknown	PDF	N/A
Self-training Avoids Using Spurious Features Under Domain Shift	Unknown	PDF	N/A
Model-based Adversarial Meta-Reinforcement Learning	Unknown	PDF	N/A
An implicit function learning approach for parametric modal regression	Unknown	PDF	N/A
Online Optimization with Memory and Competitive Control	Unknown	PDF	N/A
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems	Unknown	PDF	N/A
Hierarchical Granularity Transfer Learning	Unknown	PDF	N/A
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data	Unknown	PDF	N/A
Finite-Time Analysis of Round-Robin Kullback-Leibler Upper Confidence Bounds for Optimal Adaptive Allocation with Multiple Plays and Markovian Rewards	Unknown	PDF	N/A
Bayesian Multi-type Mean Field Multi-agent Imitation Learning	Unknown	PDF	N/A
MomentumRNN: Integrating Momentum into Recurrent Neural Networks	Unknown	PDF	N/A
Optimal Query Complexity of Secure Stochastic Convex Optimization	Unknown	PDF	N/A
Self-Distillation as Instance-Specific Label Smoothing	Unknown	PDF	N/A
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks	Unknown	PDF	N/A
Belief-Dependent Macro-Action Discovery in POMDPs using the Value of Information	Unknown	PDF	N/A
On Adaptive Distance Estimation	Unknown	PDF	N/A
The Power of Comparisons for Actively Learning Linear Classifiers	Unknown	PDF	N/A
Multi-Fidelity Bayesian Optimization via Deep Neural Networks	Unknown	PDF	N/A
The route to chaos in routing games: When is price of anarchy too optimistic?	Unknown	PDF	N/A
Intra-Processing Methods for Debiasing Neural Networks	Unknown	PDF	N/A
Entrywise convergence of iterative methods for eigenproblems	Unknown	PDF	N/A
SoftFlow: Probabilistic Framework for Normalizing Flow on Manifolds	Unknown	PDF	N/A
Learning Strategy-Aware Linear Classifiers	Unknown	PDF	N/A
Functional Regularization for Representation Learning: A Unified Theoretical Perspective	Unknown	PDF	N/A
Learning Sparse Prototypes for Text Generation	Unknown	PDF	N/A
Towards a Combinatorial Characterization of Bounded-Memory Learning	Unknown	PDF	N/A
RepPoints v2: Verification Meets Regression for Object Detection	Unknown	PDF	N/A
Submodular Meta-Learning	Unknown	PDF	N/A
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies	Unknown	PDF	N/A
The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-Identification	Unknown	PDF	N/A
Detecting Interactions from Neural Networks via Topological Analysis	Unknown	PDF	N/A
Deterministic Approximation for Submodular Maximization over a Matroid in Nearly Linear Time	Unknown	PDF	N/A
Learning to Mutate with Hypergradient Guided Population	Unknown	PDF	N/A
Network size and size of the weights in memorization with two-layers neural networks	Unknown	PDF	N/A
COPT: Coordinated Optimal Transport on Graphs	Unknown	PDF	N/A
Deep Imitation Learning for Bimanual Robotic Manipulation	Unknown	PDF	N/A
Improving Auto-Augment via Augmentation-Wise Weight Sharing	Unknown	PDF	N/A
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks	Unknown	PDF	N/A
Delving into the Cyclic Mechanism in Semi-supervised Video Object Segmentation	Unknown	PDF	N/A
Rotated Binary Neural Network	Unknown	PDF	N/A
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding	Unknown	PDF	N/A
Wasserstein Distances for Stereo Disparity Estimation	Unknown	PDF	N/A
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud	Unknown	PDF	N/A
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL	Unknown	PDF	N/A
Security Analysis of Safe and Seldonian Reinforcement Learning Algorithms	Unknown	PDF	N/A
Towards Deeper Graph Neural Networks with Differentiable Group Normalization	Unknown	PDF	N/A
Provably Robust Metric Learning	Unknown	PDF	N/A
Estimation of Skill Distribution from a Tournament	Unknown	PDF	N/A
Ultra-Low Precision 4-bit Training of Deep Neural Networks	Unknown	PDF	N/A
Reinforcement Learning with General Value Function Approximation: Provably Efficient Approach via Bounded Eluder Dimension	Unknown	PDF	N/A
Shared Space Transfer Learning for analyzing multi-site fMRI data	Unknown	PDF	N/A
Planning with General Objective Functions: Going Beyond Total Rewards	Unknown	PDF	N/A
Structured Prediction for Conditional Meta-Learning	Unknown	PDF	N/A
Correlation Robust Influence Maximization	Unknown	PDF	N/A
Robust Gaussian Covariance Estimation in Nearly-Matrix Multiplication Time	Unknown	PDF	N/A
MOReL: Model-Based Offline Reinforcement Learning	Unknown	PDF	N/A
GCN meets GPU: Decoupling “When to Sample” from “How to Sample”	Unknown	PDF	N/A
NVAE: A Deep Hierarchical Variational Autoencoder	Unknown	PDF	N/A
VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain	Unknown	PDF	N/A
Zap Q-Learning With Nonlinear Function Approximation	Unknown	PDF	N/A
Learning Deep Attribution Priors Based On Prior Knowledge	Unknown	PDF	N/A
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling	Unknown	PDF	N/A
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond	Unknown	PDF	N/A
Neural Dynamic Policies for End-to-End Sensorimotor Learning	Unknown	PDF	N/A
Sparse Graphical Memory for Robust Planning	Unknown	PDF	N/A
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks	Unknown	PDF	N/A
An Improved Analysis of (Variance-Reduced) Policy Gradient and Natural Policy Gradient Methods	Unknown	PDF	N/A
Weakly-Supervised Reinforcement Learning for Controllable Behavior	Unknown	PDF	N/A
Modeling and Optimization Trade-off in Meta-learning	Unknown	PDF	N/A
Structured Convolutions for Efficient Neural Network Design	Unknown	PDF	N/A
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning	Unknown	PDF	N/A
Walsh-Hadamard Variational Inference for Bayesian Deep Learning	Unknown	PDF	N/A
Efficient Algorithms for Device Placement of DNN Graph Operators	Unknown	PDF	N/A
Weisfeiler and Leman go sparse: Towards scalable higher-order graph embeddings	Unknown	PDF	N/A
Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration	Unknown	PDF	N/A
The MAGICAL Benchmark for Robust Imitation	Unknown	PDF	N/A
Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models	Unknown	PDF	N/A
No-regret Learning in Price Competitions under Consumer Reference Effects	Unknown	PDF	N/A
Self-Imitation Learning via Generalized Lower Bound Q-learning	Unknown	PDF	N/A
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding	Unknown	PDF	N/A
Learning Agent Representations for Ice Hockey	Unknown	PDF	N/A
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks	Unknown	PDF	N/A
On Numerosity of Deep Neural Networks	Unknown	PDF	N/A
A mathematical theory of cooperative communication	Unknown	PDF	N/A
Detection as Regression: Certified Object Detection with Median Smoothing	Unknown	PDF	N/A
Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games	Unknown	PDF	N/A
Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients	Unknown	PDF	N/A
Improving Neural Network Training in Low Dimensional Random Bases	Unknown	PDF	N/A
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data	Unknown	PDF	N/A
COT-GAN: Generating Sequential Data via Causal Optimal Transport	Unknown	PDF	N/A
Learning from Label Proportions: A Mutual Contamination Framework	Unknown	PDF	N/A
Truthful Data Acquisition via Peer Prediction	Unknown	PDF	N/A
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions	Unknown	PDF	N/A
On the Equivalence between Online and Private Learnability beyond Binary Classification	Unknown	PDF	N/A
Unsupervised Data Augmentation for Consistency Training	Unknown	PDF	N/A
Hedging in games: Faster convergence of external and swap regrets	Unknown	PDF	N/A
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation	Unknown	PDF	N/A
What Makes for Good Views for Contrastive Learning?	Unknown	PDF	N/A
Fairness in Streaming Submodular Maximization: Algorithms and Hardness	Unknown	PDF	N/A
On Learning Ising Models under Huber's Contamination Model	Unknown	PDF	N/A
Make One-Shot Video Object Segmentation Efficient Again	Unknown	PDF	N/A
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms	Unknown	PDF	N/A
Fine-Grained Dynamic Head for Object Detection	Unknown	PDF	N/A
Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data	Unknown	PDF	N/A
Meta-Learning through Hebbian Plasticity in Random Networks	Unknown	PDF	N/A
Hold me tight! Influence of discriminative features on deep network boundaries	Unknown	PDF	N/A
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation	Unknown	PDF	N/A
Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology	Unknown	PDF	N/A
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs	Unknown	PDF	N/A
Efficient Low Rank Gaussian Variational Inference for Neural Networks	Unknown	PDF	N/A
Learning Mutational Semantics	Unknown	PDF	N/A
RATT: Recurrent Attention to Transient Tasks for Continual Image Captioning	Unknown	PDF	N/A
Bayesian Optimization for Iterative Learning	Unknown	PDF	N/A
Asymptotic normality and confidence intervals for derivatives of 2-layers neural network in the random features model	Unknown	PDF	N/A
f-GAIL: Learning f-Divergence for Generative Adversarial Imitation Learning	Unknown	PDF	N/A
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs	Unknown	PDF	N/A
One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers	Unknown	PDF	N/A
Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity	Unknown	PDF	N/A
Towards Neural Programming Interfaces	Unknown	PDF	N/A
Transductive Information Maximization for Few-Shot Learning	Unknown	PDF	N/A
A Bayesian Nonparametrics View into Deep Representations	Unknown	PDF	N/A
Dynamic Regret of Convex and Smooth Functions	Unknown	PDF	N/A
Unbalanced Sobolev Descent	Unknown	PDF	N/A
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching	Unknown	PDF	N/A
Untangling tradeoffs between recurrence and self-attention in artificial neural networks	Unknown	PDF	N/A
Exact Recovery of Mangled Clusters with Same-Cluster Queries	Unknown	PDF	N/A
Woodbury Transformations for Deep Generative Flows	Unknown	PDF	N/A
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample	Unknown	PDF	N/A
Self-Supervised MultiModal Versatile Networks	Unknown	PDF	N/A
Improving Sample Complexity Bounds for (Natural) Actor-Critic Algorithms	Unknown	PDF	N/A
Neuron-level Structured Pruning using Polarization Regularizer	Unknown	PDF	N/A
Bayesian Deep Learning and a Probabilistic Perspective of Generalization	Unknown	PDF	N/A
Unsupervised object-centric video generation and decomposition in 3D	Unknown	PDF	N/A
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs	Unknown	PDF	N/A
Natural Graph Networks	Unknown	PDF	N/A
Causal Intervention for Weakly-Supervised Semantic Segmentation	Unknown	PDF	N/A
Doubly Robust Off-Policy Value and Gradient Estimation for Deterministic Policies	Unknown	PDF	N/A
Adversarial Sparse Transformer for Time Series Forecasting	Unknown	PDF	N/A
Deep Structural Causal Models for Tractable Counterfactual Inference	Unknown	PDF	N/A
Improved Algorithms for Convex-Concave Minimax Optimization	Unknown	PDF	N/A
A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model	Unknown	PDF	N/A
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning	Unknown	PDF	N/A
Neural Star Domain as Primitive Representation	Unknown	PDF	N/A
Dirichlet Graph Variational Autoencoder	Unknown	PDF	N/A
Parabolic Approximation Line Search for DNNs	Unknown	PDF	N/A
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms	Unknown	PDF	N/A
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error	Unknown	PDF	N/A
Lipschitz-Certifiable Training with a Tight Outer Bound	Unknown	PDF	N/A
Adaptive Sampling for Stochastic Risk-Averse Learning	Unknown	PDF	N/A
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions	Unknown	PDF	N/A
Federated Bayesian Optimization via Thompson Sampling	Unknown	PDF	N/A
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form	Unknown	PDF	N/A
Revisiting Parameter Sharing for Automatic Neural Channel Number Search	Unknown	PDF	N/A
Self-Paced Deep Reinforcement Learning	Unknown	PDF	N/A
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search	Unknown	PDF	N/A
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks	Unknown	PDF	N/A
High-Fidelity Generative Image Compression	Unknown	PDF	N/A
Online Influence Maximization under Linear Threshold Model	Unknown	PDF	N/A
Impossibility Results for Grammar-Compressed Linear Algebra	Unknown	PDF	N/A
Inverse Learning of Symmetries	Unknown	PDF	N/A
Multi-task Causal Learning with Gaussian Processes	Unknown	PDF	N/A
Finite Continuum-Armed Bandits	Unknown	PDF	N/A
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties	Unknown	PDF	N/A
Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables	Unknown	PDF	N/A
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler	Unknown	PDF	N/A
Training Generative Adversarial Networks with Limited Data	Unknown	PDF	N/A
Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations	Unknown	PDF	N/A
Escaping Saddle-Point Faster under Interpolation-like Conditions	Unknown	PDF	N/A
Self-Supervised Relational Reasoning for Representation Learning	Unknown	PDF	N/A
Noise-Contrastive Estimation for Multivariate Point Processes	Unknown	PDF	N/A
AutoBSS: An Efficient Algorithm for Block Stacking Style Search	Unknown	PDF	N/A
Data Diversification: A Simple Strategy For Neural Machine Translation	Unknown	PDF	N/A
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization	Unknown	PDF	N/A
POMO: Policy Optimization with Multiple Optima for Reinforcement Learning	Unknown	PDF	N/A
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces	Unknown	PDF	N/A
Energy-based Out-of-distribution Detection	Unknown	PDF	N/A
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect	Unknown	PDF	N/A
Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction	Unknown	PDF	N/A
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers	Unknown	PDF	N/A
Self-Supervised Visual Representation Learning from Hierarchical Grouping	Unknown	PDF	N/A
CircleGAN: Generative Adversarial Learning across Spherical Circles	Unknown	PDF	N/A

NIPS 2021

Title	Author	PDF_Link	Code_URL
Learning Gaussian Mixtures with Generalized Linear Models: Precise Asymptotics in High-dimensions	Unknown	PDF	N/A
Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage	Unknown	PDF	N/A
Flexible Option Learning	Unknown	PDF	N/A
Landscape analysis of an improved power method for tensor decomposition	Unknown	PDF	N/A
Explicit loss asymptotics in the gradient descent training of neural networks	Unknown	PDF	N/A
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining	Unknown	PDF	N/A
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features	Unknown	PDF	N/A
$\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression	Unknown	PDF	N/A
A Minimalist Approach to Offline Reinforcement Learning	Unknown	PDF	N/A
Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods	Unknown	PDF	N/A
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning	Unknown	PDF	N/A
Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP	Unknown	PDF	N/A
Spherical Motion Dynamics: Learning Dynamics of Normalized Neural Network using SGD and Weight Decay	Unknown	PDF	N/A
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning	Unknown	PDF	N/A
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling	Unknown	PDF	N/A
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration	Unknown	PDF	N/A
Large-Scale Unsupervised Object Discovery	Unknown	PDF	N/A
Across-animal odor decoding by probabilistic manifold alignment	Unknown	PDF	N/A
Score-based Generative Neural Networks for Large-Scale Optimal Transport	Unknown	PDF	N/A
On Plasticity, Invariance, and Mutually Frozen Weights in Sequential Task Learning	Unknown	PDF	N/A
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency	Unknown	PDF	N/A
EIGNN: Efficient Infinite-Depth Graph Neural Networks	Unknown	PDF	N/A
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport	Unknown	PDF	N/A
Credal Self-Supervised Learning	Unknown	PDF	N/A
Distributed Deep Learning In Open Collaborations	Unknown	PDF	N/A
Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs	Unknown	PDF	N/A
Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent	Unknown	PDF	N/A
Sequential Algorithms for Testing Closeness of Distributions	Unknown	PDF	N/A
INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding	Unknown	PDF	N/A
Detecting Moments and Highlights in Videos via Natural Language Queries	Unknown	PDF	N/A
Joint Inference for Neural Network Depth and Dropout Regularization	Unknown	PDF	N/A
Lifelong Domain Adaptation via Consolidated Internal Distribution	Unknown	PDF	N/A
Learning latent causal graphs via mixture oracles	Unknown	PDF	N/A
Container: Context Aggregation Networks	Unknown	PDF	N/A
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification	Unknown	PDF	N/A
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective	Unknown	PDF	N/A
Temporally Abstract Partial Models	Unknown	PDF	N/A
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction	Unknown	PDF	N/A
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective	Unknown	PDF	N/A
One Explanation is Not Enough: Structured Attention Graphs for Image Classification	Unknown	PDF	N/A
Overinterpretation reveals image classification model pathologies	Unknown	PDF	N/A
Good Classification Measures and How to Find Them	Unknown	PDF	N/A
BNS: Building Network Structures Dynamically for Continual Learning	Unknown	PDF	N/A
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks	Unknown	PDF	N/A
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness	Unknown	PDF	N/A
Automorphic Equivalence-aware Graph Neural Network	Unknown	PDF	N/A
Direct Multi-view Multi-person 3D Pose Estimation	Unknown	PDF	N/A
Learnability of Linear Thresholds from Label Proportions	Unknown	PDF	N/A
Regret Bounds for Gaussian-Process Optimization in Large Domains	Unknown	PDF	N/A
On Episodes, Prototypical Networks, and Few-Shot Learning	Unknown	PDF	N/A
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions	Unknown	PDF	N/A
CATs: Cost Aggregation Transformers for Visual Correspondence	Unknown	PDF	N/A
Efficient Training of Retrieval Models using Negative Cache	Unknown	PDF	N/A
Differentiable Multiple Shooting Layers	Unknown	PDF	N/A
Deep Explicit Duration Switching Models for Time Series	Unknown	PDF	N/A
Offline RL Without Off-Policy Evaluation	Unknown	PDF	N/A
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning	Unknown	PDF	N/A
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach	Unknown	PDF	N/A
Validation Free and Replication Robust Volume-based Data Valuation	Unknown	PDF	N/A
Graph Neural Networks with Adaptive Residual	Unknown	PDF	N/A
Efficient Combination of Rematerialization and Offloading for Training DNNs	Unknown	PDF	N/A
Conservative Offline Distributional Reinforcement Learning	Unknown	PDF	N/A
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation	Unknown	PDF	N/A
Generative Occupancy Fields for 3D Surface-Aware Image Synthesis	Unknown	PDF	N/A
TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework	Unknown	PDF	N/A
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction	Unknown	PDF	N/A
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)	Unknown	PDF	N/A
Influence Patterns for Explaining Information Flow in BERT	Unknown	PDF	N/A
Towards mental time travel: a hierarchical memory for reinforcement learning agents	Unknown	PDF	N/A
Explaining heterogeneity in medial entorhinal cortex with task-driven neural networks	Unknown	PDF	N/A
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss	Unknown	PDF	N/A
Online Knapsack with Frequency Predictions	Unknown	PDF	N/A
Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex	Unknown	PDF	N/A
The future is log-Gaussian: ResNets and their infinite-depth-and-width limit at initialization	Unknown	PDF	N/A
A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning	Unknown	PDF	N/A
Panoptic 3D Scene Reconstruction From a Single RGB Image	Unknown	PDF	N/A
PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning	Unknown	PDF	N/A
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning	Unknown	PDF	N/A
3DP3: 3D Scene Perception via Probabilistic Programming	Unknown	PDF	N/A
Learning with Holographic Reduced Representations	Unknown	PDF	N/A
Convex Polytope Trees	Unknown	PDF	N/A
You Are the Best Reviewer of Your Own Papers: An Owner-Assisted Scoring Mechanism	Unknown	PDF	N/A
Online Control of Unknown Time-Varying Dynamical Systems	Unknown	PDF	N/A
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language	Unknown	PDF	N/A
Counterbalancing Learning and Strategic Incentives in Allocation Markets	Unknown	PDF	N/A
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses	Unknown	PDF	N/A
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations	Unknown	PDF	N/A
Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings	Unknown	PDF	N/A
Reinforcement Learning with Latent Flow	Unknown	PDF	N/A
Behavior From the Void: Unsupervised Active Pre-Training	Unknown	PDF	N/A
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting	Unknown	PDF	N/A
Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training	Unknown	PDF	N/A
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond	Unknown	PDF	N/A
Information is Power: Intrinsic Control via Information Capture	Unknown	PDF	N/A
CHIP: CHannel Independence-based Pruning for Compact Neural Networks	Unknown	PDF	N/A
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture	Unknown	PDF	N/A
Instance-optimal Mean Estimation Under Differential Privacy	Unknown	PDF	N/A
Weak-shot Fine-grained Classification via Similarity Transfer	Unknown	PDF	N/A
A Continuous Mapping For Augmentation Design	Unknown	PDF	N/A
Towards robust vision by multi-task learning on monkey visual cortex	Unknown	PDF	N/A
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities	Unknown	PDF	N/A
Analysis of one-hidden-layer neural networks via the resolvent method	Unknown	PDF	N/A
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data	Unknown	PDF	N/A
Differentiable Simulation of Soft Multi-body Systems	Unknown	PDF	N/A
Hierarchical Skills for Efficient Exploration	Unknown	PDF	N/A
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games	Unknown	PDF	N/A
Improved Transformer for High-Resolution GANs	Unknown	PDF	N/A
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation	Unknown	PDF	N/A
Tractable Regularization of Probabilistic Circuits	Unknown	PDF	N/A
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks	Unknown	PDF	N/A
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification	Unknown	PDF	N/A
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization	Unknown	PDF	N/A
Sim and Real: Better Together	Unknown	PDF	N/A
Matrix factorisation and the interpretation of geodesic distance	Unknown	PDF	N/A
Marginalised Gaussian Processes with Nested Sampling	Unknown	PDF	N/A
Grounding Spatio-Temporal Language with Transformers	Unknown	PDF	N/A
K-Net: Towards Unified Image Segmentation	Unknown	PDF	N/A
Neural Algorithmic Reasoners are Implicit Planners	Unknown	PDF	N/A
Active 3D Shape Reconstruction from Vision and Touch	Unknown	PDF	N/A
Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning	Unknown	PDF	N/A
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations	Unknown	PDF	N/A
A self consistent theory of Gaussian Processes captures feature learning effects in finite CNNs	Unknown	PDF	N/A
Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes	Unknown	PDF	N/A
Speedy Performance Estimation for Neural Architecture Search	Unknown	PDF	N/A
Scalable Thompson Sampling using Sparse Gaussian Process Models	Unknown	PDF	N/A
Reliable Decisions with Threshold Calibration	Unknown	PDF	N/A
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images	Unknown	PDF	N/A
Learning Large Neighborhood Search Policy for Integer Programming	Unknown	PDF	N/A
Corruption Robust Active Learning	Unknown	PDF	N/A
A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models	Unknown	PDF	N/A
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation	Unknown	PDF	N/A
Piper: Multidimensional Planner for DNN Parallelization	Unknown	PDF	N/A
Post-Contextual-Bandit Inference	Unknown	PDF	N/A
CrypTen: Secure Multi-Party Computation Meets Machine Learning	Unknown	PDF	N/A
Continuous Mean-Covariance Bandits	Unknown	PDF	N/A
Controlling Neural Networks with Rule Representations	Unknown	PDF	N/A
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition	Unknown	PDF	N/A
Hierarchical Clustering: $O(1)$-Approximation for Well-Clustered Graphs	Unknown	PDF	N/A
Efficient constrained sampling via the mirror-Langevin algorithm	Unknown	PDF	N/A
Towards Robust Bisimulation Metric Learning	Unknown	PDF	N/A
Amortized Variational Inference for Simple Hierarchical Models	Unknown	PDF	N/A
Repulsive Deep Ensembles are Bayesian	Unknown	PDF	N/A
Algorithmic stability and generalization of an unsupervised feature selection algorithm	Unknown	PDF	N/A
LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning	Unknown	PDF	N/A
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples	Unknown	PDF	N/A
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning	Unknown	PDF	N/A
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem	Unknown	PDF	N/A
AC-GC: Lossy Activation Compression with Guaranteed Convergence	Unknown	PDF	N/A
Near-Optimal No-Regret Learning in General Games	Unknown	PDF	N/A
It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems	Unknown	PDF	N/A
Shift Invariance Can Reduce Adversarial Robustness	Unknown	PDF	N/A
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel	Unknown	PDF	N/A
Neural Production Systems	Unknown	PDF	N/A
Neural Active Learning with Performance Guarantees	Unknown	PDF	N/A
Equivariant Manifold Flows	Unknown	PDF	N/A
Reinforcement Learning in Newcomblike Environments	Unknown	PDF	N/A
Disrupting Deep Uncertainty Estimation Without Harming Accuracy	Unknown	PDF	N/A
Fairness in Ranking under Uncertainty	Unknown	PDF	N/A
Identifiable Generative models for Missing Not at Random Data Imputation	Unknown	PDF	N/A
Multi-view Contrastive Graph Clustering	Unknown	PDF	N/A
Unifying lower bounds on prediction dimension of convex surrogates	Unknown	PDF	N/A
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound	Unknown	PDF	N/A
Misspecified Gaussian Process Bandit Optimization	Unknown	PDF	N/A
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space	Unknown	PDF	N/A
DeepGEM: Generalized Expectation-Maximization for Blind Inversion	Unknown	PDF	N/A
Parameter-free HE-friendly Logistic Regression	Unknown	PDF	N/A
Imitation with Neural Density Models	Unknown	PDF	N/A
SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning	Unknown	PDF	N/A
Fair Exploration via Axiomatic Bargaining	Unknown	PDF	N/A
No Regrets for Learning the Prior in Bandits	Unknown	PDF	N/A
Privately Publishable Per-instance Privacy	Unknown	PDF	N/A
Learning the optimal Tikhonov regularizer for inverse problems	Unknown	PDF	N/A
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation	Unknown	PDF	N/A
Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs	Unknown	PDF	N/A
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration	Unknown	PDF	N/A
Weighted model estimation for offline model-based reinforcement learning	Unknown	PDF	N/A
Bellman-consistent Pessimism for Offline Reinforcement Learning	Unknown	PDF	N/A
Settling the Variance of Multi-Agent Policy Gradients	Unknown	PDF	N/A
Cortico-cerebellar networks as decoupling neural interfaces	Unknown	PDF	N/A
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias	Unknown	PDF	N/A
A flow-based latent state generative model of neural population responses to natural images	Unknown	PDF	N/A
Monte Carlo Tree Search With Iteratively Refining State Abstractions	Unknown	PDF	N/A
Editing a classifier by rewriting its prediction rules	Unknown	PDF	N/A
Training Neural Networks with Fixed Sparse Masks	Unknown	PDF	N/A
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis	Unknown	PDF	N/A
ByPE-VAE: Bayesian Pseudocoresets Exemplar VAE	Unknown	PDF	N/A
Particle Cloud Generation with Message Passing Generative Adversarial Networks	Unknown	PDF	N/A
Learning to Execute: Efficient Learning of Universal Plan-Conditioned Policies in Robotics	Unknown	PDF	N/A
PSD Representations for Effective Probability Models	Unknown	PDF	N/A
Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs	Unknown	PDF	N/A
Memory-efficient Patch-based Inference for Tiny Deep Learning	Unknown	PDF	N/A
Boost Neural Networks by Checkpoints	Unknown	PDF	N/A
Explainable Semantic Space by Grounding Language to Vision with Cross-Modal Contrastive Learning	Unknown	PDF	N/A
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation	Unknown	PDF	N/A
Learning 3D Dense Correspondence via Canonical Point Autoencoder	Unknown	PDF	N/A
On the interplay between data structure and loss function in classification problems	Unknown	PDF	N/A
Robust Compressed Sensing MRI with Deep Generative Priors	Unknown	PDF	N/A
Scalable Intervention Target Estimation in Linear Models	Unknown	PDF	N/A
Hierarchical Reinforcement Learning with Timed Subgoals	Unknown	PDF	N/A
Selective Sampling for Online Best-arm Identification	Unknown	PDF	N/A
Excess Capacity and Backdoor Poisoning	Unknown	PDF	N/A
Multimodal and Multilingual Embeddings for Large-Scale Speech Mining	Unknown	PDF	N/A
Learning Frequency Domain Approximation for Binary Neural Networks	Unknown	PDF	N/A
Clustering Effect of Adversarial Robust Models	Unknown	PDF	N/A
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation	Unknown	PDF	N/A
Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification	Unknown	PDF	N/A
Functional Neural Networks for Parametric Image Restoration Problems	Unknown	PDF	N/A
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning	Unknown	PDF	N/A
Understanding the Generalization Benefit of Model Invariance from a Data Perspective	Unknown	PDF	N/A
Predicting Deep Neural Network Generalization with Perturbation Response Curves	Unknown	PDF	N/A
Escape saddle points by a simple gradient-descent based algorithm	Unknown	PDF	N/A
Your head is there to move you around: Goal-driven models of the primate dorsal pathway	Unknown	PDF	N/A
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients	Unknown	PDF	N/A
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs	Unknown	PDF	N/A
Decentralized Q-learning in Zero-sum Markov Games	Unknown	PDF	N/A
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation	Unknown	PDF	N/A
Channel Permutations for N:M Sparsity	Unknown	PDF	N/A
Dynamic influence maximization	Unknown	PDF	N/A
Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation	Unknown	PDF	N/A
Human-Adversarial Visual Question Answering	Unknown	PDF	N/A
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm	Unknown	PDF	N/A
What Matters for Adversarial Imitation Learning?	Unknown	PDF	N/A
Accumulative Poisoning Attacks on Real-time Data	Unknown	PDF	N/A
IQ-Learn: Inverse soft-Q Learning for Imitation	Unknown	PDF	N/A
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions	Unknown	PDF	N/A
MarioNette: Self-Supervised Sprite Learning	Unknown	PDF	N/A
Regulating algorithmic filtering on social media	Unknown	PDF	N/A
Visualizing the Emergence of Intermediate Visual Patterns in DNNs	Unknown	PDF	N/A
CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method	Unknown	PDF	N/A
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning	Unknown	PDF	N/A
On The Structure of Parametric Tournaments with Application to Ranking from Pairwise Comparisons	Unknown	PDF	N/A
A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition	Unknown	PDF	N/A
Improving Transferability of Representations via Augmentation-Aware Self-Supervision	Unknown	PDF	N/A
Policy Learning Using Weak Supervision	Unknown	PDF	N/A
Learning on Random Balls is Sufficient for Estimating (Some) Graph Parameters	Unknown	PDF	N/A
Passive attention in artificial neural networks predicts human visual selectivity	Unknown	PDF	N/A
Do Vision Transformers See Like Convolutional Neural Networks?	Unknown	PDF	N/A
Information-constrained optimization: can adaptive processing of gradients help?	Unknown	PDF	N/A
Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation	Unknown	PDF	N/A
Learning Hard Optimization Problems: A Data Generation Perspective	Unknown	PDF	N/A
Similarity and Matching of Neural Network Representations	Unknown	PDF	N/A
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform	Unknown	PDF	N/A
Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition	Unknown	PDF	N/A
Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification	Unknown	PDF	N/A
Noisy Recurrent Neural Networks	Unknown	PDF	N/A
Multi-modal Dependency Tree for Video Captioning	Unknown	PDF	N/A
Deep Reinforcement Learning at the Edge of the Statistical Precipice	Unknown	PDF	N/A
Shaping embodied agent behavior with activity-context priors from egocentric video	Unknown	PDF	N/A
Representation Learning Beyond Linear Prediction Functions	Unknown	PDF	N/A
How Modular should Neural Module Networks Be for Systematic Generalization?	Unknown	PDF	N/A
PolarStream: Streaming Object Detection and Segmentation with Polar Pillars	Unknown	PDF	N/A
SSMF: Shifting Seasonal Matrix Factorization	Unknown	PDF	N/A
Average-Reward Learning and Planning with Options	Unknown	PDF	N/A
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization	Unknown	PDF	N/A
Numerical influence of ReLU’(0) on backpropagation	Unknown	PDF	N/A
Optimal Gradient-based Algorithms for Non-concave Bandit Optimization	Unknown	PDF	N/A
Towards Sample-Optimal Compressive Phase Retrieval with Sparse and Generative Priors	Unknown	PDF	N/A
PettingZoo: Gym for Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
HNPE: Leveraging Global Parameters for Neural Posterior Estimation	Unknown	PDF	N/A
Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks	Unknown	PDF	N/A
Gradient-based Hyperparameter Optimization Over Long Horizons	Unknown	PDF	N/A
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations	Unknown	PDF	N/A
Multimodal Virtual Point 3D Detection	Unknown	PDF	N/A
VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer	Unknown	PDF	N/A
Convergence and Alignment of Gradient Descent with Random Backpropagation Weights	Unknown	PDF	N/A
Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation	Unknown	PDF	N/A
Referring Transformer: A One-step Approach to Multi-task Visual Grounding	Unknown	PDF	N/A
Learning Diverse Policies in MOBA Games via Macro-Goals	Unknown	PDF	N/A
Deformable Butterfly: A Highly Structured and Sparse Linear Transform	Unknown	PDF	N/A
MAP Propagation Algorithm: Faster Learning with a Team of Reinforcement Learning Agents	Unknown	PDF	N/A
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias	Unknown	PDF	N/A
Understanding the Effect of Stochasticity in Policy Optimization	Unknown	PDF	N/A
Deep Learning on a Data Diet: Finding Important Examples Early in Training	Unknown	PDF	N/A
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation	Unknown	PDF	N/A
Bayesian Optimization of Function Networks	Unknown	PDF	N/A
Prior-independent Dynamic Auctions for a Value-maximizing Buyer	Unknown	PDF	N/A
Constrained Robust Submodular Partitioning	Unknown	PDF	N/A
Iterative Connecting Probability Estimation for Networks	Unknown	PDF	N/A
Forster Decomposition and Learning Halfspaces with Noise	Unknown	PDF	N/A
On Joint Learning for Solving Placement and Routing in Chip Design	Unknown	PDF	N/A
End-to-End Weak Supervision	Unknown	PDF	N/A
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning	Unknown	PDF	N/A
Characterizing the risk of fairwashing	Unknown	PDF	N/A
Searching the Search Space of Vision Transformer	Unknown	PDF	N/A
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources	Unknown	PDF	N/A
Perceptual Score: What Data Modalities Does Your Model Perceive?	Unknown	PDF	N/A
On UMAP's True Loss Function	Unknown	PDF	N/A
Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding	Unknown	PDF	N/A
Adder Attention for Vision Transformer	Unknown	PDF	N/A
Provably Efficient Black-Box Action Poisoning Attacks Against Reinforcement Learning	Unknown	PDF	N/A
COMBO: Conservative Offline Model-Based Policy Optimization	Unknown	PDF	N/A
Learning to Schedule Heuristics in Branch and Bound	Unknown	PDF	N/A
TAAC: Temporally Abstract Actor-Critic for Continuous Control	Unknown	PDF	N/A
Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution	Unknown	PDF	N/A
Unintended Selection: Persistent Qualification Rate Disparities and Interventions	Unknown	PDF	N/A
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks	Unknown	PDF	N/A
Unifying Gradient Estimators for Meta-Reinforcement Learning via Off-Policy Evaluation	Unknown	PDF	N/A
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise	Unknown	PDF	N/A
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks	Unknown	PDF	N/A
Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks	Unknown	PDF	N/A
Doubly Robust Thompson Sampling with Linear Payoffs	Unknown	PDF	N/A
Only Train Once: A One-Shot Neural Network Training And Pruning Framework	Unknown	PDF	N/A
Fairness via Representation Neutralization	Unknown	PDF	N/A
A No-go Theorem for Robust Acceleration in the Hyperbolic Plane	Unknown	PDF	N/A
Probabilistic Transformer For Time Series Analysis	Unknown	PDF	N/A
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies	Unknown	PDF	N/A
Self-Adaptable Point Processes with Nonparametric Time Decays	Unknown	PDF	N/A
RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks	Unknown	PDF	N/A
Adversarially Robust Change Point Detection	Unknown	PDF	N/A
The Limits of Optimal Pricing in the Dark	Unknown	PDF	N/A
Making the most of your day: online learning for optimal allocation of time	Unknown	PDF	N/A
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases	Unknown	PDF	N/A
Invertible DenseNets with Concatenated LipSwish	Unknown	PDF	N/A
Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems	Unknown	PDF	N/A
Non-asymptotic Error Bounds for Bidirectional GANs	Unknown	PDF	N/A
Iterative Teacher-Aware Learning	Unknown	PDF	N/A
Stochastic $L^\natural$-convex Function Minimization	Unknown	PDF	N/A
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer	Unknown	PDF	N/A
Post-Training Sparsity-Aware Quantization	Unknown	PDF	N/A
Accurately Solving Rod Dynamics with Graph Learning	Unknown	PDF	N/A
Online and Offline Reinforcement Learning by Planning with a Learned Model	Unknown	PDF	N/A
Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory	Unknown	PDF	N/A
Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting	Unknown	PDF	N/A
Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence	Unknown	PDF	N/A
Heavy Ball Momentum for Conditional Gradient	Unknown	PDF	N/A
On the Out-of-distribution Generalization of Probabilistic Image Modelling	Unknown	PDF	N/A
Neural Architecture Dilation for Adversarial Robustness	Unknown	PDF	N/A
Even your Teacher Needs Guidance: Ground-Truth Targets Dampen Regularization Imposed by Self-Distillation	Unknown	PDF	N/A
Revisiting Smoothed Online Learning	Unknown	PDF	N/A
Learning interaction rules from multi-animal trajectories via augmented behavioral models	Unknown	PDF	N/A
A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering	Unknown	PDF	N/A
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent	Unknown	PDF	N/A
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares	Unknown	PDF	N/A
Scalable Inference of Sparsely-changing Gaussian Markov Random Fields	Unknown	PDF	N/A
Capturing implicit hierarchical structure in 3D biomedical images with self-supervised hyperbolic representations	Unknown	PDF	N/A
Adaptive Risk Minimization: Learning to Adapt to Domain Shift	Unknown	PDF	N/A
Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation	Unknown	PDF	N/A
Scalable Rule-Based Representation Learning for Interpretable Classification	Unknown	PDF	N/A
Parallel and Efficient Hierarchical k-Median Clustering	Unknown	PDF	N/A
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State	Unknown	PDF	N/A
Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving	Unknown	PDF	N/A
Robust Allocations with Diversity Constraints	Unknown	PDF	N/A
Optimality and Stability in Federated Learning: A Game-theoretic Approach	Unknown	PDF	N/A
Dynamic Causal Bayesian Optimization	Unknown	PDF	N/A
An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints	Unknown	PDF	N/A
Robustifying Algorithms of Learning Latent Trees with Vector Variables	Unknown	PDF	N/A
Generalization Guarantee of SGD for Pairwise Learning	Unknown	PDF	N/A
Universal Off-Policy Evaluation	Unknown	PDF	N/A
Calibration and Consistency of Adversarial Surrogate Losses	Unknown	PDF	N/A
On the Convergence of Step Decay Step-Size for Stochastic Optimization	Unknown	PDF	N/A
Unsupervised Speech Recognition	Unknown	PDF	N/A
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification	Unknown	PDF	N/A
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages	Unknown	PDF	N/A
On the Expected Complexity of Maxout Networks	Unknown	PDF	N/A
Tactical Optimism and Pessimism for Deep Reinforcement Learning	Unknown	PDF	N/A
An online passive-aggressive algorithm for difference-of-squares classification	Unknown	PDF	N/A
Learning State Representations from Random Deep Action-conditional Predictions	Unknown	PDF	N/A
Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms	Unknown	PDF	N/A
Relative stability toward diffeomorphisms indicates performance in deep nets	Unknown	PDF	N/A
Sparse Uncertainty Representation in Deep Learning with Inducing Weights	Unknown	PDF	N/A
Online Active Learning with Surrogate Loss Functions	Unknown	PDF	N/A
Reverse engineering learned optimizers reveals known and novel mechanisms	Unknown	PDF	N/A
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models	Unknown	PDF	N/A
Efficient and Accurate Gradients for Neural SDEs	Unknown	PDF	N/A
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models	Unknown	PDF	N/A
Sparse Spiking Gradient Descent	Unknown	PDF	N/A
Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance	Unknown	PDF	N/A
Few-Shot Data-Driven Algorithms for Low Rank Approximation	Unknown	PDF	N/A
Privately Learning Mixtures of Axis-Aligned Gaussians	Unknown	PDF	N/A
Hash Layers For Large Sparse Models	Unknown	PDF	N/A
List-Decodable Mean Estimation in Nearly-PCA Time	Unknown	PDF	N/A
Automatic Unsupervised Outlier Model Selection	Unknown	PDF	N/A
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Sparse Neural Networks	Unknown	PDF	N/A
Ising Model Selection Using $\ell_{1}$-Regularized Linear Regression: A Statistical Mechanics Analysis	Unknown	PDF	N/A
Dynamic Bottleneck for Robust Self-Supervised Exploration	Unknown	PDF	N/A
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems	Unknown	PDF	N/A
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking	Unknown	PDF	N/A
Understanding Interlocking Dynamics of Cooperative Rationalization	Unknown	PDF	N/A
Differentiable Equilibrium Computation with Decision Diagrams for Stackelberg Models of Combinatorial Congestion Games	Unknown	PDF	N/A
Understanding Adaptive, Multiscale Temporal Integration In Deep Speech Recognition Systems	Unknown	PDF	N/A
Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds for Episodic Reinforcement Learning	Unknown	PDF	N/A
Online Market Equilibrium with Application to Fair Division	Unknown	PDF	N/A
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets	Unknown	PDF	N/A
Bias and variance of the Bayesian-mean decoder	Unknown	PDF	N/A
MLP-Mixer: An all-MLP Architecture for Vision	Unknown	PDF	N/A
Learning Knowledge Graph-based World Models of Textual Environments	Unknown	PDF	N/A
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection	Unknown	PDF	N/A
Refined Learning Bounds for Kernel and Approximate $k$-Means	Unknown	PDF	N/A
Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning	Unknown	PDF	N/A
Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data	Unknown	PDF	N/A
An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap	Unknown	PDF	N/A
Coresets for Classification – Simplified and Strengthened	Unknown	PDF	N/A
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning)	Unknown	PDF	N/A
Submodular + Concave	Unknown	PDF	N/A
Understanding Partial Multi-Label Learning via Mutual Information	Unknown	PDF	N/A
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style	Unknown	PDF	N/A
Improved Coresets and Sublinear Algorithms for Power Means in Euclidean Spaces	Unknown	PDF	N/A
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization	Unknown	PDF	N/A
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations	Unknown	PDF	N/A
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices	Unknown	PDF	N/A
Self-Instantiated Recurrent Units with Dynamic Soft Recursion	Unknown	PDF	N/A
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness	Unknown	PDF	N/A
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation	Unknown	PDF	N/A
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks	Unknown	PDF	N/A
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems	Unknown	PDF	N/A
Morié Attack (MA): A New Potential Risk of Screen Photos	Unknown	PDF	N/A
Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond	Unknown	PDF	N/A
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout	Unknown	PDF	N/A
Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification	Unknown	PDF	N/A
An Empirical Study of Adder Neural Networks for Object Detection	Unknown	PDF	N/A
Medical Dead-ends and Learning to Identify High-Risk States and Treatments	Unknown	PDF	N/A
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems	Unknown	PDF	N/A
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark	Unknown	PDF	N/A
Local plasticity rules can learn deep representations using self-supervised contrastive predictions	Unknown	PDF	N/A
Approximating the Permanent with Deep Rejection Sampling	Unknown	PDF	N/A
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation	Unknown	PDF	N/A
How Data Augmentation affects Optimization for Linear Regression	Unknown	PDF	N/A
Spot the Difference: Detection of Topological Changes via Geometric Alignment	Unknown	PDF	N/A
Deep Extended Hazard Models for Survival Analysis	Unknown	PDF	N/A
Scaling Gaussian Processes with Derivative Information Using Variational Inference	Unknown	PDF	N/A
On the Expressivity of Markov Reward	Unknown	PDF	N/A
Credit Assignment in Neural Networks through Deep Feedback Control	Unknown	PDF	N/A
KS-GNN: Keywords Search over Incomplete Graphs via Graphs Neural Network	Unknown	PDF	N/A
A novel notion of barycenter for probability distributions based on optimal weak mass transport	Unknown	PDF	N/A
Confident Anchor-Induced Multi-Source Free Domain Adaptation	Unknown	PDF	N/A
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering	Unknown	PDF	N/A
Iterative Amortized Policy Optimization	Unknown	PDF	N/A
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning	Unknown	PDF	N/A
Encoding Robustness to Image Style via Adversarial Feature Perturbations	Unknown	PDF	N/A
Structure-Aware Random Fourier Kernel for Graphs	Unknown	PDF	N/A
Risk Monotonicity in Statistical Learning	Unknown	PDF	N/A
Recognizing Vector Graphics without Rasterization	Unknown	PDF	N/A
Large-Scale Learning with Fourier Features and Tensor Decompositions	Unknown	PDF	N/A
Implicit Semantic Response Alignment for Partial Domain Adaptation	Unknown	PDF	N/A
Exponential Separation between Two Learning Models and Adversarial Robustness	Unknown	PDF	N/A
SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization	Unknown	PDF	N/A
Variational Continual Bayesian Meta-Learning	Unknown	PDF	N/A
Learning One Representation to Optimize All Rewards	Unknown	PDF	N/A
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective	Unknown	PDF	N/A
Linear Convergence of Gradient Methods for Estimating Structured Transition Matrices in High-dimensional Vector Autoregressive Models	Unknown	PDF	N/A
Raw Nav-merge Seismic Data to Subsurface Properties with MLP based Multi-Modal Information Unscrambler	Unknown	PDF	N/A
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method	Unknown	PDF	N/A
Robust Optimization for Multilingual Translation with Imbalanced Data	Unknown	PDF	N/A
SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search	Unknown	PDF	N/A
Class-Incremental Learning via Dual Augmentation	Unknown	PDF	N/A
Mitigating Forgetting in Online Continual Learning with Neuron Calibration	Unknown	PDF	N/A
Robust Auction Design in the Auto-bidding World	Unknown	PDF	N/A
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age	Unknown	PDF	N/A
Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs	Unknown	PDF	N/A
The Pareto Frontier of model selection for general Contextual Bandits	Unknown	PDF	N/A
Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models	Unknown	PDF	N/A
Causal Bandits with Unknown Graph Structure	Unknown	PDF	N/A
Emergent Discrete Communication in Semantic Spaces	Unknown	PDF	N/A
On the Stochastic Stability of Deep Markov Models	Unknown	PDF	N/A
Statistical Inference with M-Estimators on Adaptively Collected Data	Unknown	PDF	N/A
Reward-Free Model-Based Reinforcement Learning with Linear Function Approximation	Unknown	PDF	N/A
Locality Sensitive Teaching	Unknown	PDF	N/A
RL for Latent MDPs: Regret Guarantees and a Lower Bound	Unknown	PDF	N/A
Distribution-free inference for regression: discrete, continuous, and in between	Unknown	PDF	N/A
Lattice partition recovery with dyadic CART	Unknown	PDF	N/A
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization	Unknown	PDF	N/A
Beyond the Signs: Nonparametric Tensor Completion via Sign Series	Unknown	PDF	N/A
Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature	Unknown	PDF	N/A
Tensor decompositions of higher-order correlations by nonlinear Hebbian plasticity	Unknown	PDF	N/A
Curriculum Learning for Vision-and-Language Navigation	Unknown	PDF	N/A
Information Directed Sampling for Sparse Linear Bandits	Unknown	PDF	N/A
A generative nonparametric Bayesian model for whole genomes	Unknown	PDF	N/A
Derivative-Free Policy Optimization for Linear Risk-Sensitive and Robust Control Design: Implicit Regularization and Sample Complexity	Unknown	PDF	N/A
A Unified View of cGANs with and without Classifiers	Unknown	PDF	N/A
Sub-Linear Memory: How to Make Performers SLiM	Unknown	PDF	N/A
Challenges and Opportunities in High Dimensional Variational Inference	Unknown	PDF	N/A
On the Existence of The Adversarial Bayes Classifier	Unknown	PDF	N/A
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning	Unknown	PDF	N/A
To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs	Unknown	PDF	N/A
True Few-Shot Learning with Language Models	Unknown	PDF	N/A
Label Disentanglement in Partition-based Extreme Multilabel Classification	Unknown	PDF	N/A
Towards understanding retrosynthesis by energy-based models	Unknown	PDF	N/A
Rectangular Flows for Manifold Learning	Unknown	PDF	N/A
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution	Unknown	PDF	N/A
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel	Unknown	PDF	N/A
DiBS: Differentiable Bayesian Structure Learning	Unknown	PDF	N/A
BARTScore: Evaluating Generated Text as Text Generation	Unknown	PDF	N/A
Fast and accurate randomized algorithms for low-rank tensor decompositions	Unknown	PDF	N/A
Nearly Horizon-Free Offline Reinforcement Learning	Unknown	PDF	N/A
CogView: Mastering Text-to-Image Generation via Transformers	Unknown	PDF	N/A
Private and Non-private Uniformity Testing for Ranking Data	Unknown	PDF	N/A
Universal Graph Convolutional Networks	Unknown	PDF	N/A
Causal Inference for Event Pairs in Multivariate Point Processes	Unknown	PDF	N/A
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning	Unknown	PDF	N/A
On the Power of Differentiable Learning versus PAC and SQ Learning	Unknown	PDF	N/A
SOLQ: Segmenting Objects by Learning Queries	Unknown	PDF	N/A
Bandits with Knapsacks beyond the Worst Case	Unknown	PDF	N/A
Counterfactual Invariance to Spurious Correlations in Text Classification	Unknown	PDF	N/A
Sample-Efficient Reinforcement Learning for Linearly-Parameterized MDPs with a Generative Model	Unknown	PDF	N/A
Identity testing for Mallows model	Unknown	PDF	N/A
Generalized and Discriminative Few-Shot Object Detection via SVD-Dictionary Enhancement	Unknown	PDF	N/A
Localization with Sampling-Argmax	Unknown	PDF	N/A
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs	Unknown	PDF	N/A
Automated Discovery of Adaptive Attacks on Adversarial Defenses	Unknown	PDF	N/A
Learning with Labeling Induced Abstentions	Unknown	PDF	N/A
Fair Sparse Regression with Clustering: An Invex Relaxation for a Combinatorial Problem	Unknown	PDF	N/A
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness	Unknown	PDF	N/A
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization	Unknown	PDF	N/A
A Regression Approach to Learning-Augmented Online Algorithms	Unknown	PDF	N/A
Revenue maximization via machine learning with noisy data	Unknown	PDF	N/A
Planning from Pixels in Environments with Combinatorially Hard Search Spaces	Unknown	PDF	N/A
Privately Learning Subspaces	Unknown	PDF	N/A
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?	Unknown	PDF	N/A
Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding	Unknown	PDF	N/A
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures	Unknown	PDF	N/A
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework	Unknown	PDF	N/A
Online Multi-Armed Bandits with Adaptive Inference	Unknown	PDF	N/A
Equilibrium and non-Equilibrium regimes in the learning of Restricted Boltzmann Machines	Unknown	PDF	N/A
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms	Unknown	PDF	N/A
UniDoc: Unified Pretraining Framework for Document Understanding	Unknown	PDF	N/A
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores	Unknown	PDF	N/A
Subquadratic Overparameterization for Shallow Neural Networks	Unknown	PDF	N/A
Learning Semantic Representations to Verify Hardware Designs	Unknown	PDF	N/A
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes	Unknown	PDF	N/A
Surrogate Regret Bounds for Polyhedral Losses	Unknown	PDF	N/A
A Variational Perspective on Diffusion-Based Generative Models and Score Matching	Unknown	PDF	N/A
Unifying Width-Reduced Methods for Quasi-Self-Concordant Optimization	Unknown	PDF	N/A
Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices	Unknown	PDF	N/A
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics	Unknown	PDF	N/A
Cardinality constrained submodular maximization for random streams	Unknown	PDF	N/A
On Calibration and Out-of-Domain Generalization	Unknown	PDF	N/A
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data	Unknown	PDF	N/A
For high-dimensional hierarchical models, consider exchangeability of effects across covariates instead of across datasets	Unknown	PDF	N/A
Intriguing Properties of Contrastive Losses	Unknown	PDF	N/A
Answering Complex Causal Queries With the Maximum Causal Set Effect	Unknown	PDF	N/A
Generalizable Multi-linear Attention Network	Unknown	PDF	N/A
Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning	Unknown	PDF	N/A
Test-time Collective Prediction	Unknown	PDF	N/A
Statistical Undecidability in Linear, Non-Gaussian Causal Models in the Presence of Latent Confounders	Unknown	PDF	N/A
Are Transformers more robust than CNNs?	Unknown	PDF	N/A
Approximate optimization of convex functions with outlier noise	Unknown	PDF	N/A
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection	Unknown	PDF	N/A
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement	Unknown	PDF	N/A
Bootstrap Your Object Detector via Mixed Training	Unknown	PDF	N/A
Can fMRI reveal the representation of syntactic structure in the brain?	Unknown	PDF	N/A
On the Algorithmic Stability of Adversarial Training	Unknown	PDF	N/A
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization	Unknown	PDF	N/A
Can multi-label classification networks know what they don’t know?	Unknown	PDF	N/A
AFEC: Active Forgetting of Negative Transfer in Continual Learning	Unknown	PDF	N/A
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning	Unknown	PDF	N/A
Exploring Forensic Dental Identification with Deep Learning	Unknown	PDF	N/A
Dissecting the Diffusion Process in Linear Graph Convolutional Networks	Unknown	PDF	N/A
Solving Graph-based Public Goods Games with Tree Search and Imitation Learning	Unknown	PDF	N/A
NeurWIN: Neural Whittle Index Network For Restless Bandits Via Deep RL	Unknown	PDF	N/A
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry	Unknown	PDF	N/A
Safe Pontryagin Differentiable Programming	Unknown	PDF	N/A
Generic Neural Architecture Search via Regression	Unknown	PDF	N/A
Graph Differentiable Architecture Search with Structure Learning	Unknown	PDF	N/A
Reinforcement Learning in Reward-Mixing MDPs	Unknown	PDF	N/A
A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression	Unknown	PDF	N/A
Not All Low-Pass Filters are Robust in Graph Convolutional Networks	Unknown	PDF	N/A
Implicit Regularization in Matrix Sensing via Mirror Descent	Unknown	PDF	N/A
Generalized DataWeighting via Class-Level Gradient Manipulation	Unknown	PDF	N/A
Online Robust Reinforcement Learning with Model Uncertainty	Unknown	PDF	N/A
Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection	Unknown	PDF	N/A
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation	Unknown	PDF	N/A
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms	Unknown	PDF	N/A
Oracle Complexity in Nonsmooth Nonconvex Optimization	Unknown	PDF	N/A
Unlabeled Principal Component Analysis	Unknown	PDF	N/A
Residual2Vec: Debiasing graph embedding with random graphs	Unknown	PDF	N/A
Towards Context-Agnostic Learning Using Synthetic Data	Unknown	PDF	N/A
Modality-Agnostic Topology Aware Localization	Unknown	PDF	N/A
A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms	Unknown	PDF	N/A
Asynchronous Stochastic Optimization Robust to Arbitrary Delays	Unknown	PDF	N/A
Graph Neural Networks with Local Graph Parameters	Unknown	PDF	N/A
Towards Sharper Generalization Bounds for Structured Prediction	Unknown	PDF	N/A
L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization	Unknown	PDF	N/A
Coresets for Time Series Clustering	Unknown	PDF	N/A
MCMC Variational Inference via Uncorrected Hamiltonian Annealing	Unknown	PDF	N/A
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams	Unknown	PDF	N/A
Implicit Sparse Regularization: The Impact of Depth and Early Stopping	Unknown	PDF	N/A
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems	Unknown	PDF	N/A
Risk-Aware Transfer in Reinforcement Learning using Successor Features	Unknown	PDF	N/A
A Biased Graph Neural Network Sampler with Near-Optimal Regret	Unknown	PDF	N/A
Coresets for Decision Trees of Signals	Unknown	PDF	N/A
Quantifying and Improving Transferability in Domain Generalization	Unknown	PDF	N/A
Online Selective Classification with Limited Feedback	Unknown	PDF	N/A
Concentration inequalities under sub-Gaussian and sub-exponential conditions	Unknown	PDF	N/A
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning	Unknown	PDF	N/A
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces	Unknown	PDF	N/A
MAU: A Motion-Aware Unit for Video Prediction and Beyond	Unknown	PDF	N/A
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark	Unknown	PDF	N/A
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition	Unknown	PDF	N/A
STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data	Unknown	PDF	N/A
The Complexity of Bayesian Network Learning: Revisiting the Superstructure	Unknown	PDF	N/A
Tighter Expected Generalization Error Bounds via Wasserstein Distance	Unknown	PDF	N/A
Differentiable Learning Under Triage	Unknown	PDF	N/A
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems	Unknown	PDF	N/A
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph	Unknown	PDF	N/A
Hyperbolic Busemann Learning with Ideal Prototypes	Unknown	PDF	N/A
Meta-Learning for Relative Density-Ratio Estimation	Unknown	PDF	N/A
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning	Unknown	PDF	N/A
ROI Maximization in Stochastic Online Decision-Making	Unknown	PDF	N/A
Asymptotics of representation learning in finite Bayesian neural networks	Unknown	PDF	N/A
Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems	Unknown	PDF	N/A
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning	Unknown	PDF	N/A
Revisiting ResNets: Improved Training and Scaling Strategies	Unknown	PDF	N/A
Communication-efficient SGD: From Local SGD to One-Shot Averaging	Unknown	PDF	N/A
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning	Unknown	PDF	N/A
Well-tuned Simple Nets Excel on Tabular Datasets	Unknown	PDF	N/A
A Central Limit Theorem for Differentially Private Query Answering	Unknown	PDF	N/A
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks	Unknown	PDF	N/A
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention	Unknown	PDF	N/A
Diffusion Models Beat GANs on Image Synthesis	Unknown	PDF	N/A
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models	Unknown	PDF	N/A
A Contrastive Learning Approach for Training Variational Autoencoder Priors	Unknown	PDF	N/A
Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training	Unknown	PDF	N/A
Coresets for Clustering with Missing Values	Unknown	PDF	N/A
Representation Learning on Spatial Networks	Unknown	PDF	N/A
Chasing Sparsity in Vision Transformers: An End-to-End Exploration	Unknown	PDF	N/A
Cycle Self-Training for Domain Adaptation	Unknown	PDF	N/A
Self-Supervised Multi-Object Tracking with Cross-input Consistency	Unknown	PDF	N/A
Generalizable Imitation Learning from Observation via Inferring Goal Proximity	Unknown	PDF	N/A
Information-theoretic generalization bounds for black-box learning algorithms	Unknown	PDF	N/A
Disentangled Contrastive Learning on Graphs	Unknown	PDF	N/A
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation	Unknown	PDF	N/A
CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression	Unknown	PDF	N/A
Adversarial Regression with Doubly Non-negative Weighting Matrices	Unknown	PDF	N/A
ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphs	Unknown	PDF	N/A
Combinatorial Pure Exploration with Bottleneck Reward Function	Unknown	PDF	N/A
Few-Shot Object Detection via Association and DIscrimination	Unknown	PDF	N/A
Coarse-to-fine Animal Pose and Shape Estimation	Unknown	PDF	N/A
Memory-Efficient Approximation Algorithms for Max-k-Cut and Correlation Clustering	Unknown	PDF	N/A
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives	Unknown	PDF	N/A
Regime Switching Bandits	Unknown	PDF	N/A
Conformal Bayesian Computation	Unknown	PDF	N/A
Two steps to risk sensitivity	Unknown	PDF	N/A
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training	Unknown	PDF	N/A
Causal Influence Detection for Improving Efficiency in Reinforcement Learning	Unknown	PDF	N/A
NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem	Unknown	PDF	N/A
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck	Unknown	PDF	N/A
Uncertainty-Driven Loss for Single Image Super-Resolution	Unknown	PDF	N/A
Continual World: A Robotic Benchmark For Continual Reinforcement Learning	Unknown	PDF	N/A
Spectral embedding for dynamic networks with stability guarantees	Unknown	PDF	N/A
Decentralized Learning in Online Queuing Systems	Unknown	PDF	N/A
Framing RNN as a kernel method: A neural ODE approach	Unknown	PDF	N/A
Algorithmic Instabilities of Accelerated Gradient Descent	Unknown	PDF	N/A
Dual Progressive Prototype Network for Generalized Zero-Shot Learning	Unknown	PDF	N/A
Distributed Principal Component Analysis with Limited Communication	Unknown	PDF	N/A
Efficient Active Learning for Gaussian Process Classification by Error Reduction	Unknown	PDF	N/A
E(n) Equivariant Normalizing Flows	Unknown	PDF	N/A
Scalable Bayesian GPFA with automatic relevance determination and discrete noise models	Unknown	PDF	N/A
Sharp Impossibility Results for Hyper-graph Testing	Unknown	PDF	N/A
Private learning implies quantum stability	Unknown	PDF	N/A
IRM—when it works and when it doesn't: A test case of natural language inference	Unknown	PDF	N/A
GemNet: Universal Directional Graph Neural Networks for Molecules	Unknown	PDF	N/A
Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize	Unknown	PDF	N/A
Learning to Combine Per-Example Solutions for Neural Program Synthesis	Unknown	PDF	N/A
Causal Navigation by Continuous-time Neural Networks	Unknown	PDF	N/A
Provable Representation Learning for Imitation with Contrastive Fourier Features	Unknown	PDF	N/A
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles	Unknown	PDF	N/A
Parametrized Quantum Policies for Reinforcement Learning	Unknown	PDF	N/A
Parameter Prediction for Unseen Deep Architectures	Unknown	PDF	N/A
A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning	Unknown	PDF	N/A
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes	Unknown	PDF	N/A
How can classical multidimensional scaling go wrong?	Unknown	PDF	N/A
Deep Extrapolation for Attribute-Enhanced Generation	Unknown	PDF	N/A
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics	Unknown	PDF	N/A
Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience	Unknown	PDF	N/A
Neural optimal feedback control with local learning rules	Unknown	PDF	N/A
HyperSPNs: Compact and Expressive Probabilistic Circuits	Unknown	PDF	N/A
Robust Generalization despite Distribution Shift via Minimum Discriminating Information	Unknown	PDF	N/A
Tracking Without Re-recognition in Humans and Machines	Unknown	PDF	N/A
Luna: Linear Unified Nested Attention	Unknown	PDF	N/A
Modified Frank Wolfe in Probability Space	Unknown	PDF	N/A
EDGE: Explaining Deep Reinforcement Learning Policies	Unknown	PDF	N/A
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers	Unknown	PDF	N/A
Differentially Private n-gram Extraction	Unknown	PDF	N/A
Heuristic-Guided Reinforcement Learning	Unknown	PDF	N/A
A Note on Sparse Generalized Eigenvalue Problem	Unknown	PDF	N/A
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data	Unknown	PDF	N/A
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Mirror Langevin Monte Carlo: the Case Under Isoperimetry	Unknown	PDF	N/A
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning	Unknown	PDF	N/A
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality	Unknown	PDF	N/A
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance	Unknown	PDF	N/A
Neural Additive Models: Interpretable Machine Learning with Neural Nets	Unknown	PDF	N/A
You Never Cluster Alone	Unknown	PDF	N/A
Rethinking the Pruning Criteria for Convolutional Neural Network	Unknown	PDF	N/A
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators	Unknown	PDF	N/A
Distilling Object Detectors with Feature Richness	Unknown	PDF	N/A
Support Recovery of Sparse Signals from a Mixture of Linear Measurements	Unknown	PDF	N/A
Residual Relaxation for Multi-view Representation Learning	Unknown	PDF	N/A
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages	Unknown	PDF	N/A
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning	Unknown	PDF	N/A
Optimal Rates for Random Order Online Optimization	Unknown	PDF	N/A
Autonomous Reinforcement Learning via Subgoal Curricula	Unknown	PDF	N/A
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer	Unknown	PDF	N/A
$\texttt{LeadCache}$: Regret-Optimal Caching in Networks	Unknown	PDF	N/A
Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images	Unknown	PDF	N/A
Adversarial Robustness with Non-uniform Perturbations	Unknown	PDF	N/A
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning	Unknown	PDF	N/A
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings	Unknown	PDF	N/A
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm	Unknown	PDF	N/A
All Tokens Matter: Token Labeling for Training Better Vision Transformers	Unknown	PDF	N/A
The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian	Unknown	PDF	N/A
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example	Unknown	PDF	N/A
Curriculum Disentangled Recommendation with Noisy Multi-feedback	Unknown	PDF	N/A
Unsupervised Motion Representation Learning with Capsule Autoencoders	Unknown	PDF	N/A
On Margin-Based Cluster Recovery with Oracle Queries	Unknown	PDF	N/A
Locally Most Powerful Bayesian Test for Out-of-Distribution Detection using Deep Generative Models	Unknown	PDF	N/A
Mixture weights optimisation for Alpha-Divergence Variational Inference	Unknown	PDF	N/A
Fast and Memory Efficient Differentially Private-SGD via JL Projections	Unknown	PDF	N/A
Conformal Time-series Forecasting	Unknown	PDF	N/A
A Max-Min Entropy Framework for Reinforcement Learning	Unknown	PDF	N/A
Instance-Dependent Partial Label Learning	Unknown	PDF	N/A
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation	Unknown	PDF	N/A
Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones	Unknown	PDF	N/A
Adaptive Diffusion in Graph Neural Networks	Unknown	PDF	N/A
Explaining Latent Representations with a Corpus of Examples	Unknown	PDF	N/A
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation	Unknown	PDF	N/A
Knowledge-inspired 3D Scene Graph Prediction in Point Cloud	Unknown	PDF	N/A
Regularization in ResNet with Stochastic Depth	Unknown	PDF	N/A
Photonic Differential Privacy with Direct Feedback Alignment	Unknown	PDF	N/A
Few-Round Learning for Federated Learning	Unknown	PDF	N/A
Multiclass Boosting and the Cost of Weak Learning	Unknown	PDF	N/A
On Optimal Robustness to Adversarial Corruption in Online Decision Problems	Unknown	PDF	N/A
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks	Unknown	PDF	N/A
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning	Unknown	PDF	N/A
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning	Unknown	PDF	N/A
Rethinking Calibration of Deep Neural Networks: Do Not Be Afraid of Overconfidence	Unknown	PDF	N/A
There Is No Turning Back: A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning	Unknown	PDF	N/A
Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach	Unknown	PDF	N/A
Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee	Unknown	PDF	N/A
Boosted CVaR Classification	Unknown	PDF	N/A
MICo: Improved representations via sampling-based state similarity for Markov decision processes	Unknown	PDF	N/A
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing	Unknown	PDF	N/A
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints	Unknown	PDF	N/A
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification	Unknown	PDF	N/A
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained Domain	Unknown	PDF	N/A
On Memorization in Probabilistic Deep Generative Models	Unknown	PDF	N/A
Assessing Fairness in the Presence of Missing Data	Unknown	PDF	N/A
Entropy-based adaptive Hamiltonian Monte Carlo	Unknown	PDF	N/A
DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning	Unknown	PDF	N/A
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders	Unknown	PDF	N/A
Taxonomizing local versus global structure in neural network loss landscapes	Unknown	PDF	N/A
Making a (Counterfactual) Difference One Rationale at a Time	Unknown	PDF	N/A
RIM: Reliable Influence-based Active Learning on Graphs	Unknown	PDF	N/A
SOFT: Softmax-free Transformer with Linear Complexity	Unknown	PDF	N/A
Node Dependent Local Smoothing for Scalable Graph Learning	Unknown	PDF	N/A
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning	Unknown	PDF	N/A
A Geometric Analysis of Neural Collapse with Unconstrained Features	Unknown	PDF	N/A
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks	Unknown	PDF	N/A
Reverse-Complement Equivariant Networks for DNA Sequences	Unknown	PDF	N/A
Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization	Unknown	PDF	N/A
Statistical Query Lower Bounds for List-Decodable Linear Regression	Unknown	PDF	N/A
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation	Unknown	PDF	N/A
Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks	Unknown	PDF	N/A
Adversarial Teacher-Student Representation Learning for Domain Generalization	Unknown	PDF	N/A
Neural Bootstrapper	Unknown	PDF	N/A
Learning to Draw: Emergent Communication through Sketching	Unknown	PDF	N/A
Counterfactual Maximum Likelihood Estimation for Training Deep Networks	Unknown	PDF	N/A
Fitting summary statistics of neural data with a differentiable spiking network simulator	Unknown	PDF	N/A
Littlestone Classes are Privately Online Learnable	Unknown	PDF	N/A
Can contrastive learning avoid shortcut solutions?	Unknown	PDF	N/A
Improved Variance-Aware Confidence Sets for Linear Bandits and Linear Mixture MDP	Unknown	PDF	N/A
Contrastive Learning for Neural Topic Model	Unknown	PDF	N/A
Scallop: From Probabilistic Deductive Databases to Scalable Differentiable Reasoning	Unknown	PDF	N/A
Uniform-PAC Bounds for Reinforcement Learning with Linear Function Approximation	Unknown	PDF	N/A
Last iterate convergence of SGD for Least-Squares in the Interpolation regime.	Unknown	PDF	N/A
Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning	Unknown	PDF	N/A
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables	Unknown	PDF	N/A
Differentiable Unsupervised Feature Selection based on a Gated Laplacian	Unknown	PDF	N/A
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering	Unknown	PDF	N/A
Risk-Averse Bayes-Adaptive Reinforcement Learning	Unknown	PDF	N/A
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components	Unknown	PDF	N/A
Lower and Upper Bounds on the Pseudo-Dimension of Tensor Network Models	Unknown	PDF	N/A
Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning	Unknown	PDF	N/A
Federated Reconstruction: Partially Local Federated Learning	Unknown	PDF	N/A
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints	Unknown	PDF	N/A
K-level Reasoning for Zero-Shot Coordination in Hanabi	Unknown	PDF	N/A
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space	Unknown	PDF	N/A
Learning a Single Neuron with Bias Using Gradient Descent	Unknown	PDF	N/A
Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies	Unknown	PDF	N/A
The Many Faces of Adversarial Risk	Unknown	PDF	N/A
Re-ranking for image retrieval and transductive few-shot classification	Unknown	PDF	N/A
Impression learning: Online representation learning with synaptic plasticity	Unknown	PDF	N/A
Adaptive Conformal Inference Under Distribution Shift	Unknown	PDF	N/A
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers	Unknown	PDF	N/A
Neural Distance Embeddings for Biological Sequences	Unknown	PDF	N/A
REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision	Unknown	PDF	N/A
Adaptive wavelet distillation from neural networks through interpretations	Unknown	PDF	N/A
Credit Assignment Through Broadcasting a Global Error Vector	Unknown	PDF	N/A
Robust Online Correlation Clustering	Unknown	PDF	N/A
DOCTOR: A Simple Method for Detecting Misclassification Errors	Unknown	PDF	N/A
Out-of-Distribution Generalization in Kernel Regression	Unknown	PDF	N/A
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery	Unknown	PDF	N/A
Efficiently Learning One Hidden Layer ReLU Networks From Queries	Unknown	PDF	N/A
Truncated Marginal Neural Ratio Estimation	Unknown	PDF	N/A
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations	Unknown	PDF	N/A
Hyperparameter Optimization Is Deceiving Us, and How to Stop It	Unknown	PDF	N/A
Scalable and Stable Surrogates for Flexible Classifiers with Fairness Constraints	Unknown	PDF	N/A
Pointwise Bounds for Distribution Estimation under Communication Constraints	Unknown	PDF	N/A
Backward-Compatible Prediction Updates: A Probabilistic Approach	Unknown	PDF	N/A
Universal Rate-Distortion-Perception Representations for Lossy Compression	Unknown	PDF	N/A
Autobahn: Automorphism-based Graph Neural Nets	Unknown	PDF	N/A
Fractal Structure and Generalization Properties of Stochastic Optimization Algorithms	Unknown	PDF	N/A
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise	Unknown	PDF	N/A
Learning to Ground Multi-Agent Communication with Autoencoders	Unknown	PDF	N/A
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery	Unknown	PDF	N/A
Turing Completeness of Bounded-Precision Recurrent Neural Networks	Unknown	PDF	N/A
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)	Unknown	PDF	N/A
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination	Unknown	PDF	N/A
A Provably Efficient Sample Collection Strategy for Reinforcement Learning	Unknown	PDF	N/A
Searching for Efficient Transformers for Language Modeling	Unknown	PDF	N/A
Combining Human Predictions with Model Probabilities via Confusion Matrices and Calibration	Unknown	PDF	N/A
On Large-Cohort Training for Federated Learning	Unknown	PDF	N/A
A/B Testing for Recommender Systems in a Two-sided Marketplace	Unknown	PDF	N/A
Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning	Unknown	PDF	N/A
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression	Unknown	PDF	N/A
A Prototype-Oriented Framework for Unsupervised Domain Adaptation	Unknown	PDF	N/A
Probabilistic Attention for Interactive Segmentation	Unknown	PDF	N/A
Safe Policy Optimization with Local Generalized Linear Function Approximations	Unknown	PDF	N/A
Locally Valid and Discriminative Prediction Intervals for Deep Learning Models	Unknown	PDF	N/A
Extracting Deformation-Aware Local Features by Learning to Deform	Unknown	PDF	N/A
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM	Unknown	PDF	N/A
Lip to Speech Synthesis with Visual Context Attentional GAN	Unknown	PDF	N/A
Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration	Unknown	PDF	N/A
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents	Unknown	PDF	N/A
Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators	Unknown	PDF	N/A
Fine-Grained Zero-Shot Learning with DNA as Side Information	Unknown	PDF	N/A
Debiased Visual Question Answering from Feature and Sample Perspectives	Unknown	PDF	N/A
Towards a Theoretical Framework of Out-of-Distribution Generalization	Unknown	PDF	N/A
Handling Long-tailed Feature Distribution in AdderNets	Unknown	PDF	N/A
Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering	Unknown	PDF	N/A
Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity	Unknown	PDF	N/A
Capacity and Bias of Learned Geometric Embeddings for Directed Graphs	Unknown	PDF	N/A
Word2Fun: Modelling Words as Functions for Diachronic Word Representation	Unknown	PDF	N/A
Provably Faster Algorithms for Bilevel Optimization	Unknown	PDF	N/A
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data	Unknown	PDF	N/A
Practical Near Neighbor Search via Group Testing	Unknown	PDF	N/A
Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization	Unknown	PDF	N/A
Fast Abductive Learning by Similarity-based Consistency Optimization	Unknown	PDF	N/A
Posterior Collapse and Latent Variable Non-identifiability	Unknown	PDF	N/A
See More for Scene: Pairwise Consistency Learning for Scene Classification	Unknown	PDF	N/A
Adversarial Attack Generation Empowered by Min-Max Optimization	Unknown	PDF	N/A
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition	Unknown	PDF	N/A
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods	Unknown	PDF	N/A
When Is Unsupervised Disentanglement Possible?	Unknown	PDF	N/A
Robust Pose Estimation in Crowded Scenes with Direct Pose-Level Inference	Unknown	PDF	N/A
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning	Unknown	PDF	N/A
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership	Unknown	PDF	N/A
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial	Unknown	PDF	N/A
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation	Unknown	PDF	N/A
Rethinking and Reweighting the Univariate Losses for Multi-Label Ranking: Consistency and Generalization	Unknown	PDF	N/A
Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation	Unknown	PDF	N/A
Near Optimal Policy Optimization via REPS	Unknown	PDF	N/A
Per-Pixel Classification is Not All You Need for Semantic Segmentation	Unknown	PDF	N/A
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems	Unknown	PDF	N/A
Optimal Algorithms for Stochastic Contextual Preference Bandits	Unknown	PDF	N/A
Batch Normalization Orthogonalizes Representations in Deep Random Networks	Unknown	PDF	N/A
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions	Unknown	PDF	N/A
Multi-Objective Meta Learning	Unknown	PDF	N/A
Efficiently Identifying Task Groupings for Multi-Task Learning	Unknown	PDF	N/A
Continuous Doubly Constrained Batch Reinforcement Learning	Unknown	PDF	N/A
ELLA: Exploration through Learned Language Abstraction	Unknown	PDF	N/A
PortaSpeech: Portable and High-Quality Generative Text-to-Speech	Unknown	PDF	N/A
A mechanistic multi-area recurrent network model of decision-making	Unknown	PDF	N/A
Localization, Convexity, and Star Aggregation	Unknown	PDF	N/A
Learning to delegate for large-scale vehicle routing	Unknown	PDF	N/A
Maximum Likelihood Training of Score-Based Diffusion Models	Unknown	PDF	N/A
Graphical Models in Heavy-Tailed Markets	Unknown	PDF	N/A
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability	Unknown	PDF	N/A
Relaxing Local Robustness	Unknown	PDF	N/A
Improving Calibration through the Relationship with Adversarial Robustness	Unknown	PDF	N/A
Consistent Non-Parametric Methods for Maximizing Robustness	Unknown	PDF	N/A
Representation Learning for Event-based Visuomotor Policies	Unknown	PDF	N/A
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization	Unknown	PDF	N/A
Off-Policy Risk Assessment in Contextual Bandits	Unknown	PDF	N/A
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs	Unknown	PDF	N/A
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection	Unknown	PDF	N/A
The Inductive Bias of Quantum Kernels	Unknown	PDF	N/A
Hindsight Task Relabelling: Experience Replay for Sparse Reward Meta-RL	Unknown	PDF	N/A
Coordinated Proximal Policy Optimization	Unknown	PDF	N/A
Estimating High Order Gradients of the Data Distribution by Denoising	Unknown	PDF	N/A
Stabilizing Dynamical Systems via Policy Gradient Methods	Unknown	PDF	N/A
What Makes Multi-Modal Learning Better than Single (Provably)	Unknown	PDF	N/A
Cardinality-Regularized Hawkes-Granger Model	Unknown	PDF	N/A
Deep Contextual Video Compression	Unknown	PDF	N/A
Designing Counterfactual Generators using Deep Model Inversion	Unknown	PDF	N/A
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data	Unknown	PDF	N/A
Offline Reinforcement Learning as One Big Sequence Modeling Problem	Unknown	PDF	N/A
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators	Unknown	PDF	N/A
Emergent Communication of Generalizations	Unknown	PDF	N/A
Glance-and-Gaze Vision Transformer	Unknown	PDF	N/A
On the Sample Complexity of Privately Learning Axis-Aligned Rectangles	Unknown	PDF	N/A
Teachable Reinforcement Learning via Advice Distillation	Unknown	PDF	N/A
Sampling with Trusthworthy Constraints: A Variational Gradient Framework	Unknown	PDF	N/A
Anti-Backdoor Learning: Training Clean Models on Poisoned Data	Unknown	PDF	N/A
Control Variates for Slate Off-Policy Evaluation	Unknown	PDF	N/A
TriBERT: Human-centric Audio-visual Representation Learning	Unknown	PDF	N/A
How Powerful are Performance Predictors in Neural Architecture Search?	Unknown	PDF	N/A
RoMA: Robust Model Adaptation for Offline Model-based Optimization	Unknown	PDF	N/A
Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons	Unknown	PDF	N/A
Understanding and Improving Early Stopping for Learning with Noisy Labels	Unknown	PDF	N/A
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild	Unknown	PDF	N/A
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries	Unknown	PDF	N/A
A Universal Law of Robustness via Isoperimetry	Unknown	PDF	N/A
Understanding the Under-Coverage Bias in Uncertainty Estimation	Unknown	PDF	N/A
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss	Unknown	PDF	N/A
Differentially Private Model Personalization	Unknown	PDF	N/A
Multi-Agent Reinforcement Learning in Stochastic Networked Systems	Unknown	PDF	N/A
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining	Unknown	PDF	N/A
Robust Predictable Control	Unknown	PDF	N/A
Revisiting Model Stitching to Compare Neural Representations	Unknown	PDF	N/A
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation	Unknown	PDF	N/A
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias	Unknown	PDF	N/A
Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems	Unknown	PDF	N/A
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text	Unknown	PDF	N/A
Detecting Anomalous Event Sequences with Temporal Point Processes	Unknown	PDF	N/A
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias	Unknown	PDF	N/A
End-to-end Multi-modal Video Temporal Grounding	Unknown	PDF	N/A
Subgroup Generalization and Fairness of Graph Neural Networks	Unknown	PDF	N/A
Improving Visual Quality of Image Synthesis by A Token-based Generator with Transformers	Unknown	PDF	N/A
Online Convex Optimization with Continuous Switching Constraint	Unknown	PDF	N/A
Never Go Full Batch (in Stochastic Convex Optimization)	Unknown	PDF	N/A
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models	Unknown	PDF	N/A
Evaluating State-of-the-Art Classification Models Against Bayes Optimality	Unknown	PDF	N/A
Policy Optimization in Adversarial MDPs: Improved Exploration via Dilated Bonuses	Unknown	PDF	N/A
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning	Unknown	PDF	N/A
Searching Parameterized AP Loss for Object Detection	Unknown	PDF	N/A
Matrix encoding networks for neural combinatorial optimization	Unknown	PDF	N/A
Probabilistic Margins for Instance Reweighting in Adversarial Training	Unknown	PDF	N/A
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation	Unknown	PDF	N/A
Learning Riemannian metric for disease progression modeling	Unknown	PDF	N/A
Random Noise Defense Against Query-Based Black-Box Attacks	Unknown	PDF	N/A
Exploiting Domain-Specific Features to Enhance Domain Generalization	Unknown	PDF	N/A
Unsupervised Domain Adaptation with Dynamics-Aware Rewards in Reinforcement Learning	Unknown	PDF	N/A
What’s a good imputation to predict with missing values?	Unknown	PDF	N/A
Local policy search with Bayesian optimization	Unknown	PDF	N/A
Twice regularized MDPs and the equivalence between robustness and regularization	Unknown	PDF	N/A
Supervising the Transfer of Reasoning Patterns in VQA	Unknown	PDF	N/A
On Robust Optimal Transport: Computational Complexity and Barycenter Computation	Unknown	PDF	N/A
Deconvolutional Networks on Graph Data	Unknown	PDF	N/A
Set Prediction in the Latent Space	Unknown	PDF	N/A
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence	Unknown	PDF	N/A
Ensembling Graph Predictions for AMR Parsing	Unknown	PDF	N/A
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization	Unknown	PDF	N/A
Predicting Event Memorability from Contextual Visual Semantics	Unknown	PDF	N/A
Bounds all around: training energy-based models with bidirectional bounds	Unknown	PDF	N/A
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits	Unknown	PDF	N/A
Artistic Style Transfer with Internal-external Learning and Contrastive Learning	Unknown	PDF	N/A
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning	Unknown	PDF	N/A
Consistency Regularization for Variational Auto-Encoders	Unknown	PDF	N/A
The Implicit Bias of Minima Stability: A View from Function Space	Unknown	PDF	N/A
What can linearized neural networks actually say about generalization?	Unknown	PDF	N/A
Neighborhood Reconstructing Autoencoders	Unknown	PDF	N/A
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression	Unknown	PDF	N/A
On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness	Unknown	PDF	N/A
Variational Multi-Task Learning with Gumbel-Softmax Priors	Unknown	PDF	N/A
Noether’s Learning Dynamics: Role of Symmetry Breaking in Neural Networks	Unknown	PDF	N/A
Posterior Meta-Replay for Continual Learning	Unknown	PDF	N/A
SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning	Unknown	PDF	N/A
Variational Diffusion Models	Unknown	PDF	N/A
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting	Unknown	PDF	N/A
ResT: An Efficient Transformer for Visual Recognition	Unknown	PDF	N/A
Unsupervised Object-Level Representation Learning from Scene Images	Unknown	PDF	N/A
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios	Unknown	PDF	N/A
Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks	Unknown	PDF	N/A
Fast rates for prediction with limited expert advice	Unknown	PDF	N/A
Unsupervised Representation Transfer for Small Networks: I Believe I Can Distill On-the-Fly	Unknown	PDF	N/A
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration	Unknown	PDF	N/A
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network	Unknown	PDF	N/A
Rectifying the Shortcut Learning of Background for Few-Shot Learning	Unknown	PDF	N/A
To The Point: Correspondence-driven monocular 3D category reconstruction	Unknown	PDF	N/A
Robustness via Uncertainty-aware Cycle Consistency	Unknown	PDF	N/A
Counterexample Guided RL Policy Refinement Using Bayesian Optimization	Unknown	PDF	N/A
Foundations of Symbolic Languages for Model Interpretability	Unknown	PDF	N/A
Wisdom of the Crowd Voting: Truthful Aggregation of Voter Information and Preferences	Unknown	PDF	N/A
Rate-Optimal Subspace Estimation on Random Graphs	Unknown	PDF	N/A
Inverse Optimal Control Adapted to the Noise Characteristics of the Human Sensorimotor System	Unknown	PDF	N/A
Convergence of adaptive algorithms for constrained weakly convex optimization	Unknown	PDF	N/A
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning	Unknown	PDF	N/A
Model-Based Reinforcement Learning via Imagination with Derived Memory	Unknown	PDF	N/A
Pareto Domain Adaptation	Unknown	PDF	N/A
Optimal Rates for Nonparametric Density Estimation under Communication Constraints	Unknown	PDF	N/A
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck	Unknown	PDF	N/A
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction	Unknown	PDF	N/A
Federated Split Task-Agnostic Vision Transformer for COVID-19 CXR Diagnosis	Unknown	PDF	N/A
DRIVE: One-bit Distributed Mean Estimation	Unknown	PDF	N/A
MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms	Unknown	PDF	N/A
Do Transformers Really Perform Badly for Graph Representation?	Unknown	PDF	N/A
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules	Unknown	PDF	N/A
Fast Federated Learning in the Presence of Arbitrary Device Unavailability	Unknown	PDF	N/A
Clockwork Variational Autoencoders	Unknown	PDF	N/A
Learning Domain Invariant Representations in Goal-conditioned Block MDPs	Unknown	PDF	N/A
Rethinking conditional GAN training: An approach using geometrically structured latent manifolds	Unknown	PDF	N/A
Learning Space Partitions for Path Planning	Unknown	PDF	N/A
Independent Prototype Propagation for Zero-Shot Compositionality	Unknown	PDF	N/A
A Normative and Biologically Plausible Algorithm for Independent Component Analysis	Unknown	PDF	N/A
Representing Hyperbolic Space Accurately using Multi-Component Floats	Unknown	PDF	N/A
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers	Unknown	PDF	N/A
Proportional Participatory Budgeting with Additive Utilities	Unknown	PDF	N/A
Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision	Unknown	PDF	N/A
Streaming Linear System Identification with Reverse Experience Replay	Unknown	PDF	N/A
Estimating Multi-cause Treatment Effects via Single-cause Perturbation	Unknown	PDF	N/A
DualNet: Continual Learning, Fast and Slow	Unknown	PDF	N/A
End-to-end reconstruction meets data-driven regularization for inverse problems	Unknown	PDF	N/A
Garment4D: Garment Reconstruction from Point Cloud Sequences	Unknown	PDF	N/A
Identification of the Generalized Condorcet Winner in Multi-dueling Bandits	Unknown	PDF	N/A
Learning Collaborative Policies to Solve NP-hard Routing Problems	Unknown	PDF	N/A
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN	Unknown	PDF	N/A
On the Second-order Convergence Properties of Random Search Methods	Unknown	PDF	N/A
Combating Noise: Semi-supervised Learning by Region Uncertainty Quantification	Unknown	PDF	N/A
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction	Unknown	PDF	N/A
Natural continual learning: success is a journey, not (just) a destination	Unknown	PDF	N/A
Parameterized Knowledge Transfer for Personalized Federated Learning	Unknown	PDF	N/A
ToAlign: Task-Oriented Alignment for Unsupervised Domain Adaptation	Unknown	PDF	N/A
Integrated Latent Heterogeneity and Invariance Learning in Kernel Space	Unknown	PDF	N/A
Variational Inference for Continuous-Time Switching Dynamical Systems	Unknown	PDF	N/A
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction	Unknown	PDF	N/A
3D Pose Transfer with Correspondence Learning and Mesh Refinement	Unknown	PDF	N/A
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections	Unknown	PDF	N/A
Efficient Learning of Discrete-Continuous Computation Graphs	Unknown	PDF	N/A
From global to local MDI variable importances for random forests and when they are Shapley values	Unknown	PDF	N/A
Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training	Unknown	PDF	N/A
Nearly-Tight and Oblivious Algorithms for Explainable Clustering	Unknown	PDF	N/A
Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions	Unknown	PDF	N/A
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training	Unknown	PDF	N/A
Safe Reinforcement Learning by Imagining the Near Future	Unknown	PDF	N/A
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation	Unknown	PDF	N/A
Structured Denoising Diffusion Models in Discrete State-Spaces	Unknown	PDF	N/A
An Information-theoretic Approach to Distribution Shifts	Unknown	PDF	N/A
Offline Reinforcement Learning with Reverse Model-based Imagination	Unknown	PDF	N/A
On learning sparse vectors from mixture of responses	Unknown	PDF	N/A
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers	Unknown	PDF	N/A
The Role of Global Labels in Few-Shot Classification and How to Infer Them	Unknown	PDF	N/A
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics	Unknown	PDF	N/A
Meta-Learning Sparse Implicit Neural Representations	Unknown	PDF	N/A
Pruning Randomly Initialized Neural Networks with Iterative Randomization	Unknown	PDF	N/A
Periodic Activation Functions Induce Stationarity	Unknown	PDF	N/A
Stateful Strategic Regression	Unknown	PDF	N/A
On the Estimation Bias in Double Q-Learning	Unknown	PDF	N/A
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA	Unknown	PDF	N/A
A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning	Unknown	PDF	N/A
Few-Shot Segmentation via Cycle-Consistent Transformer	Unknown	PDF	N/A
Augmented Shortcuts for Vision Transformers	Unknown	PDF	N/A
Adversarial Reweighting for Partial Domain Adaptation	Unknown	PDF	N/A
Instance-dependent Label-noise Learning under a Structural Causal Model	Unknown	PDF	N/A
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation	Unknown	PDF	N/A
Optimizing Reusable Knowledge for Continual Learning via Metalearning	Unknown	PDF	N/A
Breaking the centralized barrier for cross-device federated learning	Unknown	PDF	N/A
Towards Enabling Meta-Learning from Target Models	Unknown	PDF	N/A
Universal Semi-Supervised Learning	Unknown	PDF	N/A
The Emergence of Objectness: Learning Zero-shot Segmentation from Videos	Unknown	PDF	N/A
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions	Unknown	PDF	N/A
Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality	Unknown	PDF	N/A
Unsupervised Foreground Extraction via Deep Region Competition	Unknown	PDF	N/A
DeepSITH: Efficient Learning via Decomposition of What and When Across Time Scales	Unknown	PDF	N/A
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs	Unknown	PDF	N/A
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks	Unknown	PDF	N/A
Powerpropagation: A sparsity inducing weight reparameterisation	Unknown	PDF	N/A
Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness	Unknown	PDF	N/A
Deep Residual Learning in Spiking Neural Networks	Unknown	PDF	N/A
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning	Unknown	PDF	N/A
Learning curves of generic features maps for realistic datasets with a teacher-student model	Unknown	PDF	N/A
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret	Unknown	PDF	N/A
SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes	Unknown	PDF	N/A
Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation	Unknown	PDF	N/A
Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification	Unknown	PDF	N/A
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks	Unknown	PDF	N/A
When Are Solutions Connected in Deep Networks?	Unknown	PDF	N/A
SWAD: Domain Generalization by Seeking Flat Minima	Unknown	PDF	N/A
Efficient Neural Network Training via Forward and Backward Propagation Sparsification	Unknown	PDF	N/A
Least Square Calibration for Peer Reviews	Unknown	PDF	N/A
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks	Unknown	PDF	N/A
Choose a Transformer: Fourier or Galerkin	Unknown	PDF	N/A
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps	Unknown	PDF	N/A
Gauge Equivariant Transformer	Unknown	PDF	N/A
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning	Unknown	PDF	N/A
Mastering Atari Games with Limited Data	Unknown	PDF	N/A
Contextual Similarity Aggregation with Self-attention for Visual Re-ranking	Unknown	PDF	N/A
Distributed Saddle-Point Problems Under Data Similarity	Unknown	PDF	N/A
Online Variational Filtering and Parameter Learning	Unknown	PDF	N/A
Support vector machines and linear regression coincide with very high-dimensional features	Unknown	PDF	N/A
Information Directed Reward Learning for Reinforcement Learning	Unknown	PDF	N/A
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery	Unknown	PDF	N/A
Associating Objects with Transformers for Video Object Segmentation	Unknown	PDF	N/A
Learning in Non-Cooperative Configurable Markov Decision Processes	Unknown	PDF	N/A
Partial success in closing the gap between human and machine vision	Unknown	PDF	N/A
No-regret Online Learning over Riemannian Manifolds	Unknown	PDF	N/A
On Effective Scheduling of Model-based Reinforcement Learning	Unknown	PDF	N/A
Dual Parameterization of Sparse Variational Gaussian Processes	Unknown	PDF	N/A
Online Facility Location with Multiple Advice	Unknown	PDF	N/A
Agent Modelling under Partial Observability for Deep Reinforcement Learning	Unknown	PDF	N/A
Self-Supervised Learning Disentangled Group Representation as Feature	Unknown	PDF	N/A
MOMA: Multi-Object Multi-Actor Activity Parsing	Unknown	PDF	N/A
Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD	Unknown	PDF	N/A
Batched Thompson Sampling	Unknown	PDF	N/A
Shape your Space: A Gaussian Mixture Regularization Approach to Deterministic Autoencoders	Unknown	PDF	N/A
On the Bias-Variance-Cost Tradeoff of Stochastic Optimization	Unknown	PDF	N/A
R-Drop: Regularized Dropout for Neural Networks	Unknown	PDF	N/A
Hard-Attention for Scalable Image Classification	Unknown	PDF	N/A
A Faster Decentralized Algorithm for Nonconvex Minimax Problems	Unknown	PDF	N/A
Co-evolution Transformer for Protein Contact Prediction	Unknown	PDF	N/A
Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model	Unknown	PDF	N/A
The balancing principle for parameter choice in distance-regularized domain adaptation	Unknown	PDF	N/A
Large-Scale Wasserstein Gradient Flows	Unknown	PDF	N/A
Non-Gaussian Gaussian Processes for Few-Shot Regression	Unknown	PDF	N/A
Robustness between the worst and average case	Unknown	PDF	N/A
Alignment Attention by Matching Key and Query Distributions	Unknown	PDF	N/A
Learning Conjoint Attentions for Graph Neural Nets	Unknown	PDF	N/A
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization	Unknown	PDF	N/A
Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems	Unknown	PDF	N/A
Open Rule Induction	Unknown	PDF	N/A
Biological learning in key-value memory networks	Unknown	PDF	N/A
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity	Unknown	PDF	N/A
An Improved Analysis of Gradient Tracking for Decentralized Machine Learning	Unknown	PDF	N/A
Task-Adaptive Neural Network Search with Meta-Contrastive Learning	Unknown	PDF	N/A
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers	Unknown	PDF	N/A
On Inductive Biases for Heterogeneous Treatment Effect Estimation	Unknown	PDF	N/A
Deconditional Downscaling with Gaussian Processes	Unknown	PDF	N/A
Understanding Instance-based Interpretability of Variational Auto-Encoders	Unknown	PDF	N/A
Self-Supervised GANs with Label Augmentation	Unknown	PDF	N/A
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data	Unknown	PDF	N/A
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning	Unknown	PDF	N/A
Fair Scheduling for Time-dependent Resources	Unknown	PDF	N/A
Distilling Image Classifiers in Object Detectors	Unknown	PDF	N/A
Discovery of Options via Meta-Learned Subgoals	Unknown	PDF	N/A
Balanced Chamfer Distance as a Comprehensive Metric for Point Cloud Completion	Unknown	PDF	N/A
CO-PILOT: COllaborative Planning and reInforcement Learning On sub-Task curriculum	Unknown	PDF	N/A
Topographic VAEs learn Equivariant Capsules	Unknown	PDF	N/A
Self-Consistent Models and Values	Unknown	PDF	N/A
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions	Unknown	PDF	N/A
On Linear Stability of SGD and Input-Smoothness of Neural Networks	Unknown	PDF	N/A
Adversarial Training Helps Transfer Learning via Better Representations	Unknown	PDF	N/A
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers	Unknown	PDF	N/A
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning	Unknown	PDF	N/A
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning	Unknown	PDF	N/A
Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction	Unknown	PDF	N/A
Learning to Learn Graph Topologies	Unknown	PDF	N/A
AutoGEL: An Automated Graph Neural Network with Explicit Link Information	Unknown	PDF	N/A
Interpreting Representation Quality of DNNs for 3D Point Cloud Processing	Unknown	PDF	N/A
Low-Rank Constraints for Fast Inference in Structured Models	Unknown	PDF	N/A
On the Equivalence between Neural Network and Support Vector Machine	Unknown	PDF	N/A
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations	Unknown	PDF	N/A
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent	Unknown	PDF	N/A
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling	Unknown	PDF	N/A
Adversarially robust learning for security-constrained optimal power flow	Unknown	PDF	N/A
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence	Unknown	PDF	N/A
MST: Masked Self-Supervised Transformer for Visual Representation	Unknown	PDF	N/A
Generalized Shape Metrics on Neural Representations	Unknown	PDF	N/A
Faster Neural Network Training with Approximate Tensor Operations	Unknown	PDF	N/A
Personalized Federated Learning With Gaussian Processes	Unknown	PDF	N/A
ReSSL: Relational Self-Supervised Learning with Weak Augmentation	Unknown	PDF	N/A
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution	Unknown	PDF	N/A
Differentiable Quality Diversity	Unknown	PDF	N/A
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation	Unknown	PDF	N/A
Efficient Equivariant Network	Unknown	PDF	N/A
The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning	Unknown	PDF	N/A
Alias-Free Generative Adversarial Networks	Unknown	PDF	N/A
Statistically and Computationally Efficient Linear Meta-representation Learning	Unknown	PDF	N/A
Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games	Unknown	PDF	N/A
Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning	Unknown	PDF	N/A
Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data	Unknown	PDF	N/A
Safe Reinforcement Learning with Natural Language Constraints	Unknown	PDF	N/A
Improving Self-supervised Learning with Automated Unsupervised Outlier Arbitration	Unknown	PDF	N/A
Dynamical Wasserstein Barycenters for Time-series Modeling	Unknown	PDF	N/A
Global-aware Beam Search for Neural Abstractive Summarization	Unknown	PDF	N/A
Optimal Order Simple Regret for Gaussian Process Bandits	Unknown	PDF	N/A
Invariant Causal Imitation Learning for Generalizable Policies	Unknown	PDF	N/A
Directed Probabilistic Watershed	Unknown	PDF	N/A
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects	Unknown	PDF	N/A
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization	Unknown	PDF	N/A
Counterfactual Explanations in Sequential Decision Making Under Uncertainty	Unknown	PDF	N/A
Diversity Matters When Learning From Ensembles	Unknown	PDF	N/A
Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples	Unknown	PDF	N/A
Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications	Unknown	PDF	N/A
Beyond Bandit Feedback in Online Multiclass Classification	Unknown	PDF	N/A
Learning Fast-Inference Bayesian Networks	Unknown	PDF	N/A
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling	Unknown	PDF	N/A
Directed Graph Contrastive Learning	Unknown	PDF	N/A
Neural Auto-Curricula in Two-Player Zero-Sum Games	Unknown	PDF	N/A
Determinantal point processes based on orthogonal polynomials for sampling minibatches in SGD	Unknown	PDF	N/A
Asynchronous Decentralized Online Learning	Unknown	PDF	N/A
Diffusion Normalizing Flow	Unknown	PDF	N/A
A sampling-based circuit for optimal decision making	Unknown	PDF	N/A
Demystifying and Generalizing BinaryConnect	Unknown	PDF	N/A
Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training	Unknown	PDF	N/A
Bayesian Optimization with High-Dimensional Outputs	Unknown	PDF	N/A
Using Random Effects to Account for High-Cardinality Categorical Features and Repeated Measures in Deep Neural Networks	Unknown	PDF	N/A
HRFormer: High-Resolution Vision Transformer for Dense Predict	Unknown	PDF	N/A
Graph Adversarial Self-Supervised Learning	Unknown	PDF	N/A
The Image Local Autoregressive Transformer	Unknown	PDF	N/A
Fine-grained Generalization Analysis of Inductive Matrix Completion	Unknown	PDF	N/A
Canonical Capsules: Self-Supervised Capsules in Canonical Pose	Unknown	PDF	N/A
On the Power of Edge Independent Graph Models	Unknown	PDF	N/A
On the Theory of Reinforcement Learning with Once-per-Episode Feedback	Unknown	PDF	N/A
Conflict-Averse Gradient Descent for Multi-task learning	Unknown	PDF	N/A
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems	Unknown	PDF	N/A
Predicting What You Already Know Helps: Provable Self-Supervised Learning	Unknown	PDF	N/A
Fair Sortition Made Transparent	Unknown	PDF	N/A
Denoising Normalizing Flow	Unknown	PDF	N/A
TopicNet: Semantic Graph-Guided Topic Discovery	Unknown	PDF	N/A
Effective Meta-Regularization by Kernelized Proximal Regularization	Unknown	PDF	N/A
No RL, No Simulation: Learning to Navigate without Navigating	Unknown	PDF	N/A
Knowledge-Adaptation Priors	Unknown	PDF	N/A
Universal Approximation Using Well-Conditioned Normalizing Flows	Unknown	PDF	N/A
Domain Invariant Representation Learning with Domain Density Transformations	Unknown	PDF	N/A
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression	Unknown	PDF	N/A
Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence	Unknown	PDF	N/A
VAST: Value Function Factorization with Variable Agent Sub-Teams	Unknown	PDF	N/A
Relaxed Marginal Consistency for Differentially Private Query Answering	Unknown	PDF	N/A
Neural Flows: Efficient Alternative to Neural ODEs	Unknown	PDF	N/A
Square Root Principal Component Pursuit: Tuning-Free Noisy Robust Matrix Recovery	Unknown	PDF	N/A
Fast Training Method for Stochastic Compositional Optimization Problems	Unknown	PDF	N/A
Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics	Unknown	PDF	N/A
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction	Unknown	PDF	N/A
Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions	Unknown	PDF	N/A
Adaptive Sampling for Minimax Fair Classification	Unknown	PDF	N/A
Relative Flatness and Generalization	Unknown	PDF	N/A
Mini-Batch Consistent Slot Set Encoder for Scalable Set Encoding	Unknown	PDF	N/A
Stochastic Solutions for Linear Inverse Problems using the Prior Implicit in a Denoiser	Unknown	PDF	N/A
RelaySum for Decentralized Deep Learning on Heterogeneous Data	Unknown	PDF	N/A
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention	Unknown	PDF	N/A
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring	Unknown	PDF	N/A
Global Filter Networks for Image Classification	Unknown	PDF	N/A
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data	Unknown	PDF	N/A
Linear-Time Probabilistic Solution of Boundary Value Problems	Unknown	PDF	N/A
Adaptive Online Packing-guided Search for POMDPs	Unknown	PDF	N/A
Topological Relational Learning on Graphs	Unknown	PDF	N/A
MobILE: Model-Based Imitation Learning From Observation Alone	Unknown	PDF	N/A
Multi-Label Learning with Pairwise Relevance Ordering	Unknown	PDF	N/A
Volume Rendering of Neural Implicit Surfaces	Unknown	PDF	N/A
Loss function based second-order Jensen inequality and its application to particle variational inference	Unknown	PDF	N/A
Towards Robust and Reliable Algorithmic Recourse	Unknown	PDF	N/A
DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras	Unknown	PDF	N/A
Does Preprocessing Help Training Over-parameterized Neural Networks?	Unknown	PDF	N/A
Adversarial Robustness with Semi-Infinite Constrained Learning	Unknown	PDF	N/A
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence	Unknown	PDF	N/A
Optimizing Conditional Value-At-Risk of Black-Box Functions	Unknown	PDF	N/A
Learning to dehaze with polarization	Unknown	PDF	N/A
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks	Unknown	PDF	N/A
Federated Linear Contextual Bandits	Unknown	PDF	N/A
Fast Doubly-Adaptive MCMC to Estimate the Gibbs Partition Function with Weak Mixing Time Bounds	Unknown	PDF	N/A
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning	Unknown	PDF	N/A
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration	Unknown	PDF	N/A
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution	Unknown	PDF	N/A
Do Input Gradients Highlight Discriminative Features?	Unknown	PDF	N/A
Three Operator Splitting with Subgradients, Stochastic Gradients, and Adaptive Learning Rates	Unknown	PDF	N/A
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients	Unknown	PDF	N/A
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds	Unknown	PDF	N/A
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time	Unknown	PDF	N/A
Dense Unsupervised Learning for Video Segmentation	Unknown	PDF	N/A
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression	Unknown	PDF	N/A
Ultrahyperbolic Neural Networks	Unknown	PDF	N/A
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity	Unknown	PDF	N/A
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning	Unknown	PDF	N/A
Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions	Unknown	PDF	N/A
Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding	Unknown	PDF	N/A
Gradient Inversion with Generative Image Prior	Unknown	PDF	N/A
Action-guided 3D Human Motion Prediction	Unknown	PDF	N/A
SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness	Unknown	PDF	N/A
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes	Unknown	PDF	N/A
Learning to Learn Dense Gaussian Processes for Few-Shot Learning	Unknown	PDF	N/A
Achieving Rotational Invariance with Bessel-Convolutional Neural Networks	Unknown	PDF	N/A
Online Learning and Control of Complex Dynamical Systems from Sensory Input	Unknown	PDF	N/A
Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning	Unknown	PDF	N/A
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering	Unknown	PDF	N/A
Reinforcement learning for optimization of variational quantum circuit architectures	Unknown	PDF	N/A
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination	Unknown	PDF	N/A
Active clustering for labeling training data	Unknown	PDF	N/A
Dynamic Normalization and Relay for Video Action Recognition	Unknown	PDF	N/A
Local Differential Privacy for Regret Minimization in Reinforcement Learning	Unknown	PDF	N/A
Predicting Molecular Conformation via Dynamic Graph Score Matching	Unknown	PDF	N/A
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information	Unknown	PDF	N/A
Residual Pathway Priors for Soft Equivariance Constraints	Unknown	PDF	N/A
Robust Deep Reinforcement Learning through Adversarial Loss	Unknown	PDF	N/A
Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives	Unknown	PDF	N/A
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration	Unknown	PDF	N/A
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning	Unknown	PDF	N/A
Smooth Normalizing Flows	Unknown	PDF	N/A
Directional Message Passing on Molecular Graphs via Synthetic Coordinates	Unknown	PDF	N/A
Lower Bounds and Optimal Algorithms for Smooth and Strongly Convex Decentralized Optimization Over Time-Varying Networks	Unknown	PDF	N/A
On Contrastive Representations of Stochastic Processes	Unknown	PDF	N/A
Joint inference and input optimization in equilibrium networks	Unknown	PDF	N/A
Black Box Probabilistic Numerics	Unknown	PDF	N/A
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning	Unknown	PDF	N/A
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations	Unknown	PDF	N/A
A 3D Generative Model for Structure-Based Drug Design	Unknown	PDF	N/A
Circa: Stochastic ReLUs for Private Deep Learning	Unknown	PDF	N/A
Explaining Hyperparameter Optimization via Partial Dependence Plots	Unknown	PDF	N/A
Learning Causal Semantic Representation for Out-of-Distribution Prediction	Unknown	PDF	N/A
Charting and Navigating the Space of Solutions for Recurrent Neural Networks	Unknown	PDF	N/A
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect	Unknown	PDF	N/A
Manipulating SGD with Data Ordering Attacks	Unknown	PDF	N/A
Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient	Unknown	PDF	N/A
Recovery Analysis for Plug-and-Play Priors using the Restricted Eigenvalue Condition	Unknown	PDF	N/A
Do Different Tracking Tasks Require Different Appearance Models?	Unknown	PDF	N/A
Online Learning in Periodic Zero-Sum Games	Unknown	PDF	N/A
CentripetalText: An Efficient Text Instance Representation for Scene Text Detection	Unknown	PDF	N/A
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data	Unknown	PDF	N/A
Image Generation using Continuous Filter Atoms	Unknown	PDF	N/A
Beltrami Flow and Neural Diffusion on Graphs	Unknown	PDF	N/A
Multimodal Few-Shot Learning with Frozen Language Models	Unknown	PDF	N/A
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent	Unknown	PDF	N/A
Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation	Unknown	PDF	N/A
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References	Unknown	PDF	N/A
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation	Unknown	PDF	N/A
Coupled Gradient Estimators for Discrete Latent Variables	Unknown	PDF	N/A
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems	Unknown	PDF	N/A
Metropolis-Hastings Data Augmentation for Graph Neural Networks	Unknown	PDF	N/A
Private Non-smooth ERM and SCO in Subquadratic Steps	Unknown	PDF	N/A
Automatic Symmetry Discovery with Lie Algebra Convolutional Network	Unknown	PDF	N/A
Finding Bipartite Components in Hypergraphs	Unknown	PDF	N/A
Gone Fishing: Neural Active Learning with Fisher Embeddings	Unknown	PDF	N/A
SketchGen: Generating Constrained CAD Sketches	Unknown	PDF	N/A
Dueling Bandits with Team Comparisons	Unknown	PDF	N/A
The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers	Unknown	PDF	N/A
Exponential Graph is Provably Efficient for Decentralized Deep Training	Unknown	PDF	N/A
A Convergence Analysis of Gradient Descent on Graph Neural Networks	Unknown	PDF	N/A
Design of Experiments for Stochastic Contextual Linear Bandits	Unknown	PDF	N/A
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?	Unknown	PDF	N/A
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective	Unknown	PDF	N/A
On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning	Unknown	PDF	N/A
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent	Unknown	PDF	N/A
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback	Unknown	PDF	N/A
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons	Unknown	PDF	N/A
On Locality of Local Explanation Models	Unknown	PDF	N/A
Learning Signal-Agnostic Manifolds of Neural Fields	Unknown	PDF	N/A
Convolutional Normalization: Improving Deep Convolutional Network Robustness and Training	Unknown	PDF	N/A
Unsupervised Learning of Compositional Energy Concepts	Unknown	PDF	N/A
Neural Circuit Synthesis from Specification Patterns	Unknown	PDF	N/A
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks	Unknown	PDF	N/A
Grounding Representation Similarity Through Statistical Testing	Unknown	PDF	N/A
Uncertainty Calibration for Ensemble-Based Debiasing Methods	Unknown	PDF	N/A
Activation Sharing with Asymmetric Paths Solves Weight Transport Problem without Bidirectional Connection	Unknown	PDF	N/A
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception	Unknown	PDF	N/A
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families	Unknown	PDF	N/A
Who Leads and Who Follows in Strategic Classification?	Unknown	PDF	N/A
Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication	Unknown	PDF	N/A
Bandits with many optimal arms	Unknown	PDF	N/A
Exploiting a Zoo of Checkpoints for Unseen Tasks	Unknown	PDF	N/A
Offline Model-based Adaptable Policy Learning	Unknown	PDF	N/A
Formalizing the Generalization-Forgetting Trade-off in Continual Learning	Unknown	PDF	N/A
(Almost) Free Incentivized Exploration from Decentralized Learning Agents	Unknown	PDF	N/A
Emergent Communication under Varying Sizes and Connectivities	Unknown	PDF	N/A
Meta Learning Backpropagation And Improving It	Unknown	PDF	N/A
Adaptable Agent Populations via a Generative Model of Policies	Unknown	PDF	N/A
Faster Algorithms and Constant Lower Bounds for the Worst-Case Expected Error	Unknown	PDF	N/A
Preserved central model for faster bidirectional compression in distributed settings	Unknown	PDF	N/A
InfoGCL: Information-Aware Graph Contrastive Learning	Unknown	PDF	N/A
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization	Unknown	PDF	N/A
Boosting with Multiple Sources	Unknown	PDF	N/A
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation	Unknown	PDF	N/A
Towards Biologically Plausible Convolutional Networks	Unknown	PDF	N/A
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization	Unknown	PDF	N/A
Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable	Unknown	PDF	N/A
Gradual Domain Adaptation without Indexed Intermediate Domains	Unknown	PDF	N/A
Understanding How Encoder-Decoder Architectures Attend	Unknown	PDF	N/A
Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices	Unknown	PDF	N/A
PLUGIn: A simple algorithm for inverting generative models with recovery guarantees	Unknown	PDF	N/A
Relative Uncertainty Learning for Facial Expression Recognition	Unknown	PDF	N/A
Vector-valued Gaussian Processes on Riemannian Manifolds via Gauge Independent Projected Kernels	Unknown	PDF	N/A
Manifold Topology Divergence: a Framework for Comparing Data Manifolds.	Unknown	PDF	N/A
Bayesian Bellman Operators	Unknown	PDF	N/A
Inverse Reinforcement Learning in a Continuous State Space with Formal Guarantees	Unknown	PDF	N/A
Compositional Reinforcement Learning from Logical Specifications	Unknown	PDF	N/A
One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval	Unknown	PDF	N/A
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations	Unknown	PDF	N/A
Dynamic population-based meta-learning for multi-agent communication with natural language	Unknown	PDF	N/A
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data	Unknown	PDF	N/A
Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model	Unknown	PDF	N/A
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning	Unknown	PDF	N/A
Instance-Conditional Knowledge Distillation for Object Detection	Unknown	PDF	N/A
Entropic Desired Dynamics for Intrinsic Control	Unknown	PDF	N/A
A unified framework for bandit multiple testing	Unknown	PDF	N/A
Memory Efficient Meta-Learning with Large Images	Unknown	PDF	N/A
A single gradient step finds adversarial examples on random two-layers neural networks	Unknown	PDF	N/A
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations	Unknown	PDF	N/A
A Unified Approach to Fair Online Learning via Blackwell Approachability	Unknown	PDF	N/A
On Component Interactions in Two-Stage Recommender Systems	Unknown	PDF	N/A
Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic	Unknown	PDF	N/A
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator	Unknown	PDF	N/A
ReAct: Out-of-distribution Detection With Rectified Activations	Unknown	PDF	N/A
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models	Unknown	PDF	N/A
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$	Unknown	PDF	N/A
Efficient Training of Visual Transformers with Small Datasets	Unknown	PDF	N/A
Combiner: Full Attention Transformer with Sparse Computation Cost	Unknown	PDF	N/A
On the Frequency Bias of Generative Models	Unknown	PDF	N/A
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection	Unknown	PDF	N/A
High-probability Bounds for Non-Convex Stochastic Optimization with Heavy Tails	Unknown	PDF	N/A
Discrete-Valued Neural Communication	Unknown	PDF	N/A
Robust Contrastive Learning Using Negative Samples with Diminished Semantics	Unknown	PDF	N/A
Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote	Unknown	PDF	N/A
Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers	Unknown	PDF	N/A
XDO: A Double Oracle Algorithm for Extensive-Form Games	Unknown	PDF	N/A
From Optimality to Robustness: Adaptive Re-Sampling Strategies in Stochastic Bandits	Unknown	PDF	N/A
History Aware Multimodal Transformer for Vision-and-Language Navigation	Unknown	PDF	N/A
Reformulating Zero-shot Action Recognition for Multi-label Actions	Unknown	PDF	N/A
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming	Unknown	PDF	N/A
Understanding Deflation Process in Over-parametrized Tensor Decomposition	Unknown	PDF	N/A
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling	Unknown	PDF	N/A
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation	Unknown	PDF	N/A
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge	Unknown	PDF	N/A
Generalized Linear Bandits with Local Differential Privacy	Unknown	PDF	N/A
Scalable Diverse Model Selection for Accessible Transfer Learning	Unknown	PDF	N/A
Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning	Unknown	PDF	N/A
Snowflake: Scaling GNNs to high-dimensional continuous control via parameter freezing	Unknown	PDF	N/A
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions	Unknown	PDF	N/A
Learning Nonparametric Volterra Kernels with Gaussian Processes	Unknown	PDF	N/A
Estimating the Unique Information of Continuous Variables	Unknown	PDF	N/A
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation	Unknown	PDF	N/A
Rethinking Graph Transformers with Spectral Attention	Unknown	PDF	N/A
Continual Learning via Local Module Composition	Unknown	PDF	N/A
Local Explanation of Dialogue Response Generation	Unknown	PDF	N/A
Robust Visual Reasoning via Language Guided Neural Module Networks	Unknown	PDF	N/A
Robust and differentially private mean estimation	Unknown	PDF	N/A
Differentially Private Stochastic Optimization: New Results in Convex and Non-Convex Settings	Unknown	PDF	N/A
Accurate Point Cloud Registration with Robust Optimal Transport	Unknown	PDF	N/A
Efficient and Local Parallel Random Walks	Unknown	PDF	N/A
RMM: Reinforced Memory Management for Class-Incremental Learning	Unknown	PDF	N/A
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability	Unknown	PDF	N/A
Comprehensive Knowledge Distillation with Causal Intervention	Unknown	PDF	N/A
How Does it Sound?	Unknown	PDF	N/A
Contrastive Laplacian Eigenmaps	Unknown	PDF	N/A
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space	Unknown	PDF	N/A
Online Meta-Learning via Learning with Layer-Distributed Memory	Unknown	PDF	N/A
Neural Program Generation Modulo Static Analysis	Unknown	PDF	N/A
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations	Unknown	PDF	N/A
Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains	Unknown	PDF	N/A
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning	Unknown	PDF	N/A
Small random initialization is akin to spectral learning: Optimization and generalization guarantees for overparameterized low-rank matrix reconstruction	Unknown	PDF	N/A
Exact marginal prior distributions of finite Bayesian neural networks	Unknown	PDF	N/A
Functional Regularization for Reinforcement Learning via Learned Fourier Features	Unknown	PDF	N/A
Discovering Dynamic Salient Regions for Spatio-Temporal Graph Neural Networks	Unknown	PDF	N/A
Training Over-parameterized Models with Non-decomposable Objectives	Unknown	PDF	N/A
Stochastic Multi-Armed Bandits with Control Variates	Unknown	PDF	N/A
Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods	Unknown	PDF	N/A
Reinforcement Learning Enhanced Explainer for Graph Neural Networks	Unknown	PDF	N/A
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning	Unknown	PDF	N/A
Directed Spectrum Measures Improve Latent Network Models Of Neural Populations	Unknown	PDF	N/A
Antipodes of Label Differential Privacy: PATE and ALIBI	Unknown	PDF	N/A
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples	Unknown	PDF	N/A
Proper Value Equivalence	Unknown	PDF	N/A
Data driven semi-supervised learning	Unknown	PDF	N/A
Trash or Treasure? An Interactive Dual-Stream Strategy for Single Image Reflection Separation	Unknown	PDF	N/A
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks	Unknown	PDF	N/A
An Online Riemannian PCA for Stochastic Canonical Correlation Analysis	Unknown	PDF	N/A
Deep Learning with Label Differential Privacy	Unknown	PDF	N/A
Label Noise SGD Provably Prefers Flat Global Minimizers	Unknown	PDF	N/A
Sparse Flows: Pruning Continuous-depth Models	Unknown	PDF	N/A
Adversarial Examples in Multi-Layer Random ReLU Networks	Unknown	PDF	N/A
Fast Certified Robust Training with Short Warmup	Unknown	PDF	N/A
Realistic evaluation of transductive few-shot learning	Unknown	PDF	N/A
Active Offline Policy Selection	Unknown	PDF	N/A
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution	Unknown	PDF	N/A
Systematic Generalization with Edge Transformers	Unknown	PDF	N/A
Contrastive Active Inference	Unknown	PDF	N/A
Relational Self-Attention: What's Missing in Attention for Video Understanding	Unknown	PDF	N/A
Blending Anti-Aliasing into Vision Transformer	Unknown	PDF	N/A
Data-Efficient Instance Generation from Instance Discrimination	Unknown	PDF	N/A
Scalable Neural Data Server: A Data Recommender for Transfer Learning	Unknown	PDF	N/A
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles	Unknown	PDF	N/A
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs	Unknown	PDF	N/A
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis	Unknown	PDF	N/A
Multi-View Representation Learning via Total Correlation Objective	Unknown	PDF	N/A
Bandit Phase Retrieval	Unknown	PDF	N/A
Object DGCNN: 3D Object Detection using Dynamic Graphs	Unknown	PDF	N/A
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers	Unknown	PDF	N/A
XCiT: Cross-Covariance Image Transformers	Unknown	PDF	N/A
Optimal Policies Tend To Seek Power	Unknown	PDF	N/A
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay	Unknown	PDF	N/A
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning	Unknown	PDF	N/A
Multiclass versus Binary Differentially Private PAC Learning	Unknown	PDF	N/A
Partition and Code: learning how to compress graphs	Unknown	PDF	N/A
An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild	Unknown	PDF	N/A
Error Compensated Distributed SGD Can Be Accelerated	Unknown	PDF	N/A
Revisiting Deep Learning Models for Tabular Data	Unknown	PDF	N/A
Conditioning Sparse Variational Gaussian Processes for Online Decision-making	Unknown	PDF	N/A
Spatial-Temporal Super-Resolution of Satellite Imagery via Conditional Pixel Synthesis	Unknown	PDF	N/A
Implicit SVD for Graph Representation Learning	Unknown	PDF	N/A
Explanation-based Data Augmentation for Image Classification	Unknown	PDF	N/A
On the Universality of Graph Neural Networks on Large Random Graphs	Unknown	PDF	N/A
Navigating to the Best Policy in Markov Decision Processes	Unknown	PDF	N/A
Identifying and Benchmarking Natural Out-of-Context Prediction Problems	Unknown	PDF	N/A
Asynchronous Decentralized SGD with Quantized and Local Updates	Unknown	PDF	N/A
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model	Unknown	PDF	N/A
Grammar-Based Grounded Lexicon Learning	Unknown	PDF	N/A
SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition	Unknown	PDF	N/A
Retiring Adult: New Datasets for Fair Machine Learning	Unknown	PDF	N/A
Space-time Mixing Attention for Video Transformer	Unknown	PDF	N/A
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation	Unknown	PDF	N/A
Weisfeiler and Lehman Go Cellular: CW Networks	Unknown	PDF	N/A
Iterative Teaching by Label Synthesis	Unknown	PDF	N/A
Lossy Compression for Lossless Prediction	Unknown	PDF	N/A
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs	Unknown	PDF	N/A
Contrastive Reinforcement Learning of Symbolic Reasoning Domains	Unknown	PDF	N/A
How Tight Can PAC-Bayes be in the Small Data Regime?	Unknown	PDF	N/A
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization	Unknown	PDF	N/A
Deep Markov Factor Analysis: Towards Concurrent Temporal and Spatial Analysis of fMRI Data	Unknown	PDF	N/A
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies	Unknown	PDF	N/A
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks	Unknown	PDF	N/A
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls	Unknown	PDF	N/A
Going Beyond Linear RL: Sample Efficient Neural Function Approximation	Unknown	PDF	N/A
One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective	Unknown	PDF	N/A
De-randomizing MCMC dynamics with the diffusion Stein operator	Unknown	PDF	N/A
On the Provable Generalization of Recurrent Neural Networks	Unknown	PDF	N/A
A first-order primal-dual method with adaptivity to local smoothness	Unknown	PDF	N/A
Encoding Spatial Distribution of Convolutional Features for Texture Representation	Unknown	PDF	N/A
Curriculum Offline Imitating Learning	Unknown	PDF	N/A
Sparse is Enough in Scaling Transformers	Unknown	PDF	N/A
Federated Graph Classification over Non-IID Graphs	Unknown	PDF	N/A
Adaptive Denoising via GainTuning	Unknown	PDF	N/A
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections	Unknown	PDF	N/A
Attention Approximates Sparse Distributed Memory	Unknown	PDF	N/A
ViSER: Video-Specific Surface Embeddings for Articulated 3D Shape Reconstruction	Unknown	PDF	N/A
Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training	Unknown	PDF	N/A
Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate	Unknown	PDF	N/A
NeuroMLR: Robust & Reliable Route Recommendation on Road Networks	Unknown	PDF	N/A
ATISS: Autoregressive Transformers for Indoor Scene Synthesis	Unknown	PDF	N/A
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models	Unknown	PDF	N/A
Pure Exploration in Kernel and Neural Bandits	Unknown	PDF	N/A
On the Cryptographic Hardness of Learning Single Periodic Neurons	Unknown	PDF	N/A
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning	Unknown	PDF	N/A
Meta-learning with an Adaptive Task Scheduler	Unknown	PDF	N/A
Multi-Facet Clustering Variational Autoencoders	Unknown	PDF	N/A
Soft Calibration Objectives for Neural Networks	Unknown	PDF	N/A
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization	Unknown	PDF	N/A
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks	Unknown	PDF	N/A
Learning rule influences recurrent network representations but not attractor structure in decision-making tasks	Unknown	PDF	N/A
Techniques for Symbol Grounding with SATNet	Unknown	PDF	N/A
Improved Guarantees for Offline Stochastic Matching via new Ordered Contention Resolution Schemes	Unknown	PDF	N/A
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance	Unknown	PDF	N/A
Continuous Latent Process Flows	Unknown	PDF	N/A
How does a Neural Network's Architecture Impact its Robustness to Noisy Labels?	Unknown	PDF	N/A
When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?	Unknown	PDF	N/A
On the Importance of Gradients for Detecting Distributional Shifts in the Wild	Unknown	PDF	N/A
Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization	Unknown	PDF	N/A
Evaluating Efficient Performance Estimators of Neural Architectures	Unknown	PDF	N/A
Multiwavelet-based Operator Learning for Differential Equations	Unknown	PDF	N/A
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds	Unknown	PDF	N/A
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks	Unknown	PDF	N/A
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks	Unknown	PDF	N/A
The staircase property: How hierarchical structure can guide deep learning	Unknown	PDF	N/A
Topological Attention for Time Series Forecasting	Unknown	PDF	N/A
Compressive Visual Representations	Unknown	PDF	N/A
When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking	Unknown	PDF	N/A
Best-case lower bounds in online learning	Unknown	PDF	N/A
Nearly Minimax Optimal Reinforcement Learning for Discounted MDPs	Unknown	PDF	N/A
Computer-Aided Design as Language	Unknown	PDF	N/A
No-Press Diplomacy from Scratch	Unknown	PDF	N/A
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems	Unknown	PDF	N/A
Data Sharing and Compression for Cooperative Networked Control	Unknown	PDF	N/A
DIB-R++: Learning to Predict Lighting and Material with a Hybrid Differentiable Renderer	Unknown	PDF	N/A
Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements	Unknown	PDF	N/A
Backdoor Attack with Imperceptible Input and Latent Modification	Unknown	PDF	N/A
Teaching an Active Learner with Contrastive Examples	Unknown	PDF	N/A
On sensitivity of meta-learning to support data	Unknown	PDF	N/A
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing	Unknown	PDF	N/A
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks	Unknown	PDF	N/A
Inverse Problems Leveraging Pre-trained Contrastive Representations	Unknown	PDF	N/A
H-NeRF: Neural Radiance Fields for Rendering and Temporal Reconstruction of Humans in Motion	Unknown	PDF	N/A
Slice Sampling Reparameterization Gradients	Unknown	PDF	N/A
Why Do Better Loss Functions Lead to Less Transferable Features?	Unknown	PDF	N/A
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data	Unknown	PDF	N/A
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning	Unknown	PDF	N/A
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization	Unknown	PDF	N/A
Fast Axiomatic Attribution for Neural Networks	Unknown	PDF	N/A
Targeted Neural Dynamical Modeling	Unknown	PDF	N/A
On the Role of Optimization in Double Descent: A Least Squares Study	Unknown	PDF	N/A
Attention Bottlenecks for Multimodal Fusion	Unknown	PDF	N/A
Stochastic Bias-Reduced Gradient Methods	Unknown	PDF	N/A
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data	Unknown	PDF	N/A
Interactive Label Cleaning with Example-based Explanations	Unknown	PDF	N/A
Parameter Inference with Bifurcation Diagrams	Unknown	PDF	N/A
Logarithmic Regret from Sublinear Hints	Unknown	PDF	N/A
Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesis	Unknown	PDF	N/A
Learning to Predict Trustworthiness with Steep Slope Loss	Unknown	PDF	N/A
Breaking the Linear Iteration Cost Barrier for Some Well-known Conditional Gradient Methods Using MaxIP Data-structures	Unknown	PDF	N/A
Kernel Identification Through Transformers	Unknown	PDF	N/A
Convex-Concave Min-Max Stackelberg Games	Unknown	PDF	N/A
Three-dimensional spike localization and improved motion correction for Neuropixels recordings	Unknown	PDF	N/A
Outcome-Driven Reinforcement Learning via Variational Inference	Unknown	PDF	N/A
Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs	Unknown	PDF	N/A
Efficient Generalization with Distributionally Robust Learning	Unknown	PDF	N/A
How to transfer algorithmic reasoning knowledge to learn new algorithms?	Unknown	PDF	N/A
Fast Routing under Uncertainty: Adaptive Learning in Congestion Games via Exponential Weights	Unknown	PDF	N/A
Absolute Neighbour Difference based Correlation Test for Detecting Heteroscedastic Relationships	Unknown	PDF	N/A
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels	Unknown	PDF	N/A
On Optimal Interpolation in Linear Regression	Unknown	PDF	N/A
Towards Sample-efficient Overparameterized Meta-learning	Unknown	PDF	N/A
Self-Supervised Learning with Kernel Dependence Maximization	Unknown	PDF	N/A
Instance-Conditioned GAN	Unknown	PDF	N/A
Optimal prediction of Markov chains with and without spectral gap	Unknown	PDF	N/A
Overlapping Spaces for Compact Graph Representations	Unknown	PDF	N/A
Long Short-Term Transformer for Online Action Detection	Unknown	PDF	N/A
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer	Unknown	PDF	N/A
Neural Pseudo-Label Optimism for the Bank Loan Problem	Unknown	PDF	N/A
Differentially Private Learning with Adaptive Clipping	Unknown	PDF	N/A
Nested Counterfactual Identification from Arbitrary Surrogate Experiments	Unknown	PDF	N/A
On Provable Benefits of Depth in Training Graph Convolutional Networks	Unknown	PDF	N/A
Robust Counterfactual Explanations on Graph Neural Networks	Unknown	PDF	N/A
Perturb-and-max-product: Sampling and learning in discrete energy-based models	Unknown	PDF	N/A
Class-Disentanglement and Applications in Adversarial Detection and Defense	Unknown	PDF	N/A
Hypergraph Propagation and Community Selection for Objects Retrieval	Unknown	PDF	N/A
Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery	Unknown	PDF	N/A
Robust Implicit Networks via Non-Euclidean Contractions	Unknown	PDF	N/A
Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning	Unknown	PDF	N/A
Tailoring: encoding inductive biases by optimizing unsupervised objectives at prediction time	Unknown	PDF	N/A
Generative vs. Discriminative: Rethinking The Meta-Continual Learning	Unknown	PDF	N/A
Controllable and Compositional Generation with Latent-Space Energy-Based Models	Unknown	PDF	N/A
CoFiNet: Reliable Coarse-to-fine Correspondences for Robust PointCloud Registration	Unknown	PDF	N/A
Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach	Unknown	PDF	N/A
Joint Modeling of Visual Objects and Relations for Scene Graph Generation	Unknown	PDF	N/A
Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL	Unknown	PDF	N/A
Renyi Differential Privacy of The Subsampled Shuffle Model In Distributed Learning	Unknown	PDF	N/A
Visual Adversarial Imitation Learning using Variational Models	Unknown	PDF	N/A
Online false discovery rate control for anomaly detection in time series	Unknown	PDF	N/A
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments	Unknown	PDF	N/A
An analysis of Ermakov-Zolotukhin quadrature using kernels	Unknown	PDF	N/A
An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks	Unknown	PDF	N/A
NAS-Bench-x11 and the Power of Learning Curves	Unknown	PDF	N/A
Reinforcement Learning based Disease Progression Model for Alzheimer’s Disease	Unknown	PDF	N/A
Scalable Online Planning via Reinforcement Learning Fine-Tuning	Unknown	PDF	N/A
Differentiable Optimization of Generalized Nondecomposable Functions using Linear Programs	Unknown	PDF	N/A
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement	Unknown	PDF	N/A
Explicable Reward Design for Reinforcement Learning Agents	Unknown	PDF	N/A
Robust and Fully-Dynamic Coreset for Continuous-and-Bounded Learning (With Outliers) Problems	Unknown	PDF	N/A
Remember What You Want to Forget: Algorithms for Machine Unlearning	Unknown	PDF	N/A
Faster Matchings via Learned Duals	Unknown	PDF	N/A
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks	Unknown	PDF	N/A
Learning to Select Exogenous Events for Marked Temporal Point Process	Unknown	PDF	N/A
Score-based Generative Modeling in Latent Space	Unknown	PDF	N/A
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks	Unknown	PDF	N/A
Center Smoothing: Certified Robustness for Networks with Structured Outputs	Unknown	PDF	N/A
Numerical Composition of Differential Privacy	Unknown	PDF	N/A
The Semi-Random Satisfaction of Voting Axioms	Unknown	PDF	N/A
Better Algorithms for Individually Fair $k$-Clustering	Unknown	PDF	N/A
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum	Unknown	PDF	N/A
One More Step Towards Reality: Cooperative Bandits with Imperfect Communication	Unknown	PDF	N/A
Discovering and Achieving Goals via World Models	Unknown	PDF	N/A
Learning-to-learn non-convex piecewise-Lipschitz functions	Unknown	PDF	N/A
Tracking People with 3D Representations	Unknown	PDF	N/A
Efficient Truncated Linear Regression with Unknown Noise Variance	Unknown	PDF	N/A
Moser Flow: Divergence-based Generative Modeling on Manifolds	Unknown	PDF	N/A
Stateful ODE-Nets using Basis Function Expansions	Unknown	PDF	N/A
Adversarial Graph Augmentation to Improve Graph Contrastive Learning	Unknown	PDF	N/A
Latent Matters: Learning Deep State-Space Models	Unknown	PDF	N/A
Permuton-induced Chinese Restaurant Process	Unknown	PDF	N/A
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game	Unknown	PDF	N/A
A Gang of Adversarial Bandits	Unknown	PDF	N/A
Bayesian Adaptation for Covariate Shift	Unknown	PDF	N/A
Differentiable Synthesis of Program Architectures	Unknown	PDF	N/A
Fair Classification with Adversarial Perturbations	Unknown	PDF	N/A
Heavy Tails in SGD and Compressibility of Overparametrized Neural Networks	Unknown	PDF	N/A
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge	Unknown	PDF	N/A
Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare	Unknown	PDF	N/A
Sifting through the noise: Universal first-order methods for stochastic variational inequalities	Unknown	PDF	N/A
The Complexity of Sparse Tensor PCA	Unknown	PDF	N/A
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models	Unknown	PDF	N/A
CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings	Unknown	PDF	N/A
Double/Debiased Machine Learning for Dynamic Treatment Effects	Unknown	PDF	N/A
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information	Unknown	PDF	N/A
Do Wider Neural Networks Really Help Adversarial Robustness?	Unknown	PDF	N/A
Hyperparameter Tuning is All You Need for LISTA	Unknown	PDF	N/A
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems	Unknown	PDF	N/A
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems	Unknown	PDF	N/A
FLEX: Unifying Evaluation for Few-Shot NLP	Unknown	PDF	N/A
TokenLearner: Adaptive Space-Time Tokenization for Videos	Unknown	PDF	N/A
Adjusting for Autocorrelated Errors in Neural Networks for Time Series	Unknown	PDF	N/A
The Benefits of Implicit Regularization from SGD in Least Squares Problems	Unknown	PDF	N/A
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm	Unknown	PDF	N/A
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios	Unknown	PDF	N/A
Shapley Residuals: Quantifying the limits of the Shapley value for explanations	Unknown	PDF	N/A
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates	Unknown	PDF	N/A
Robust Regression Revisited: Acceleration and Improved Estimation Rates	Unknown	PDF	N/A
Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes	Unknown	PDF	N/A
On the Sample Complexity of Learning under Geometric Stability	Unknown	PDF	N/A
Scaling Ensemble Distribution Distillation to Many Classes with Proxy Targets	Unknown	PDF	N/A
Subgoal Search For Complex Reasoning Tasks	Unknown	PDF	N/A
Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers	Unknown	PDF	N/A
Curriculum Design for Teaching via Demonstrations: Theory and Applications	Unknown	PDF	N/A
Uncertain Decisions Facilitate Better Preference Learning	Unknown	PDF	N/A
Asymptotically Best Causal Effect Identification with Multi-Armed Bandits	Unknown	PDF	N/A
Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes	Unknown	PDF	N/A
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks	Unknown	PDF	N/A
Improving Compositionality of Neural Networks by Decoding Representations to Inputs	Unknown	PDF	N/A
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization	Unknown	PDF	N/A
Learning to See by Looking at Noise	Unknown	PDF	N/A
Parametric Complexity Bounds for Approximating PDEs with Neural Networks	Unknown	PDF	N/A
General Nonlinearities in SO(2)-Equivariant CNNs	Unknown	PDF	N/A
Representing Long-Range Context for Graph Neural Networks with Global Attention	Unknown	PDF	N/A
Subgame solving without common knowledge	Unknown	PDF	N/A
Towards a Unified Information-Theoretic Framework for Generalization	Unknown	PDF	N/A
Learning to Synthesize Programs as Interpretable and Generalizable Policies	Unknown	PDF	N/A
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition	Unknown	PDF	N/A
Structured Dropout Variational Inference for Bayesian Neural Networks	Unknown	PDF	N/A
Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels	Unknown	PDF	N/A
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update	Unknown	PDF	N/A
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Scatterbrain: Unifying Sparse and Low-rank Attention	Unknown	PDF	N/A
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis	Unknown	PDF	N/A
Minimizing Polarization and Disagreement in Social Networks via Link Recommendation	Unknown	PDF	N/A
Adversarial Examples Make Strong Poisons	Unknown	PDF	N/A
Laplace Redux - Effortless Bayesian Deep Learning	Unknown	PDF	N/A
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization	Unknown	PDF	N/A
A Multi-Implicit Neural Representation for Fonts	Unknown	PDF	N/A
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning	Unknown	PDF	N/A
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?	Unknown	PDF	N/A
Learning Distilled Collaboration Graph for Multi-Agent Perception	Unknown	PDF	N/A
Generalization Bounds for (Wasserstein) Robust Optimization	Unknown	PDF	N/A
Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning	Unknown	PDF	N/A
Compositional Transformers for Scene Generation	Unknown	PDF	N/A
Structural Credit Assignment in Neural Networks using Reinforcement Learning	Unknown	PDF	N/A
Reducing the Covariate Shift by Mirror Samples in Cross Domain Alignment	Unknown	PDF	N/A
Characterizing possible failure modes in physics-informed neural networks	Unknown	PDF	N/A
Fast Training of Neural Lumigraph Representations using Meta Learning	Unknown	PDF	N/A
Correlated Stochastic Block Models: Exact Graph Matching with Applications to Recovering Communities	Unknown	PDF	N/A
Can Information Flows Suggest Targets for Interventions in Neural Circuits?	Unknown	PDF	N/A
Kernel Functional Optimisation	Unknown	PDF	N/A
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation	Unknown	PDF	N/A
Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds	Unknown	PDF	N/A
ReLU Regression with Massart Noise	Unknown	PDF	N/A
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning	Unknown	PDF	N/A
Fair Clustering Under a Bounded Cost	Unknown	PDF	N/A
Pragmatic Image Compression for Human-in-the-Loop Decision-Making	Unknown	PDF	N/A
Second-Order Neural ODE Optimizer	Unknown	PDF	N/A
Early Convolutions Help Transformers See Better	Unknown	PDF	N/A
PatchGame: Learning to Signal Mid-level Patches in Referential Games	Unknown	PDF	N/A
Structured Reordering for Modeling Latent Alignments in Sequence Transduction	Unknown	PDF	N/A
ResNEsts and DenseNEsts: Block-based DNN Models with Improved Representation Guarantees	Unknown	PDF	N/A
MERLOT: Multimodal Neural Script Knowledge Models	Unknown	PDF	N/A
Novel Upper Bounds for the Constrained Most Probable Explanation Task	Unknown	PDF	N/A
Low-Fidelity Video Encoder Optimization for Temporal Action Localization	Unknown	PDF	N/A
Replay-Guided Adversarial Environment Design	Unknown	PDF	N/A
Voxel-based 3D Detection and Reconstruction of Multiple Objects from a Single Image	Unknown	PDF	N/A
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity	Unknown	PDF	N/A
Beyond Smoothness: Incorporating Low-Rank Analysis into Nonparametric Density Estimation	Unknown	PDF	N/A
A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast	Unknown	PDF	N/A
Differentiable Spline Approximations	Unknown	PDF	N/A
Measuring Generalization with Optimal Transport	Unknown	PDF	N/A
Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval	Unknown	PDF	N/A
Optimal Sketching for Trace Estimation	Unknown	PDF	N/A
Robustness of Graph Neural Networks at Scale	Unknown	PDF	N/A
Dynamic Inference with Neural Interpreters	Unknown	PDF	N/A
Stochastic bandits with groups of similar arms.	Unknown	PDF	N/A
Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases	Unknown	PDF	N/A
Continual Auxiliary Task Learning	Unknown	PDF	N/A
Generalization Bounds for Graph Embedding Using Negative Sampling: Linear vs Hyperbolic	Unknown	PDF	N/A
On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond	Unknown	PDF	N/A
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation	Unknown	PDF	N/A
Causal Abstractions of Neural Networks	Unknown	PDF	N/A
Optimal Underdamped Langevin MCMC Method	Unknown	PDF	N/A
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing	Unknown	PDF	N/A
Towards Deeper Deep Reinforcement Learning with Spectral Normalization	Unknown	PDF	N/A
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction	Unknown	PDF	N/A
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals	Unknown	PDF	N/A
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting	Unknown	PDF	N/A
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support	Unknown	PDF	N/A
Hyperbolic Procrustes Analysis Using Riemannian Geometry	Unknown	PDF	N/A
MADE: Exploration via Maximizing Deviation from Explored Regions	Unknown	PDF	N/A
Federated Multi-Task Learning under a Mixture of Distributions	Unknown	PDF	N/A
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima	Unknown	PDF	N/A
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond	Unknown	PDF	N/A
Collapsed Variational Bounds for Bayesian Neural Networks	Unknown	PDF	N/A
Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning	Unknown	PDF	N/A
Improving Deep Learning Interpretability by Saliency Guided Training	Unknown	PDF	N/A
Label consistency in overfitted generalized $k$-means	Unknown	PDF	N/A
Meta Internal Learning	Unknown	PDF	N/A
Analytic Insights into Structure and Rank of Neural Network Hessian Maps	Unknown	PDF	N/A
LEADS: Learning Dynamical Systems that Generalize Across Environments	Unknown	PDF	N/A
Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks	Unknown	PDF	N/A
Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks	Unknown	PDF	N/A
Uniform Sampling over Episode Difficulty	Unknown	PDF	N/A
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles	Unknown	PDF	N/A
Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations	Unknown	PDF	N/A
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose	Unknown	PDF	N/A
AugMax: Adversarial Composition of Random Augmentations for Robust Training	Unknown	PDF	N/A
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks	Unknown	PDF	N/A
Overparameterization Improves Robustness to Covariate Shift in High Dimensions	Unknown	PDF	N/A
MagNet: A Neural Network for Directed Graphs	Unknown	PDF	N/A
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates	Unknown	PDF	N/A
Stronger NAS with Weaker Predictors	Unknown	PDF	N/A
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs	Unknown	PDF	N/A
Adaptive Machine Unlearning	Unknown	PDF	N/A
Time-independent Generalization Bounds for SGLD in Non-convex Settings	Unknown	PDF	N/A
NeRV: Neural Representations for Videos	Unknown	PDF	N/A
Causal Effect Inference for Structured Treatments	Unknown	PDF	N/A
Learning-Augmented Dynamic Power Management with Multiple States via New Ski Rental Bounds	Unknown	PDF	N/A
Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path	Unknown	PDF	N/A
Finite Sample Analysis of Average-Reward TD Learning and $Q$-Learning	Unknown	PDF	N/A
Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees	Unknown	PDF	N/A
Focal Attention for Long-Range Interactions in Vision Transformers	Unknown	PDF	N/A
Iteratively Reweighted Least Squares for Basis Pursuit with Global Linear Convergence Rate	Unknown	PDF	N/A
COHESIV: Contrastive Object and Hand Embedding Segmentation In Video	Unknown	PDF	N/A
Scalars are universal: Equivariant machine learning, structured like classical physics	Unknown	PDF	N/A
Rethinking gradient sparsification as total error minimization	Unknown	PDF	N/A
Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation	Unknown	PDF	N/A
Habitat 2.0: Training Home Assistants to Rearrange their Habitat	Unknown	PDF	N/A
Language models enable zero-shot prediction of the effects of mutations on protein function	Unknown	PDF	N/A
Label-Imbalanced and Group-Sensitive Classification under Overparameterization	Unknown	PDF	N/A
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time	Unknown	PDF	N/A
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?	Unknown	PDF	N/A
Two-sided fairness in rankings via Lorenz dominance	Unknown	PDF	N/A
Decoupling the Depth and Scope of Graph Neural Networks	Unknown	PDF	N/A
Learning in two-player zero-sum partially observable Markov games with perfect recall	Unknown	PDF	N/A
Mixture Proportion Estimation and PU Learning:A Modern Approach	Unknown	PDF	N/A
A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Refining Language Models with Compositional Explanations	Unknown	PDF	N/A
Noether Networks: meta-learning useful conserved quantities	Unknown	PDF	N/A
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging	Unknown	PDF	N/A
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation	Unknown	PDF	N/A
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization	Unknown	PDF	N/A
NovelD: A Simple yet Effective Exploration Criterion	Unknown	PDF	N/A
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification	Unknown	PDF	N/A
Row-clustering of a Point Process-valued Matrix	Unknown	PDF	N/A
Optimal Best-Arm Identification Methods for Tail-Risk Measures	Unknown	PDF	N/A
Deep Networks Provably Classify Data on Curves	Unknown	PDF	N/A
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games	Unknown	PDF	N/A
A Winning Hand: Compressing Deep Networks Can Improve Out-of-Distribution Robustness	Unknown	PDF	N/A
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback	Unknown	PDF	N/A
On the Generative Utility of Cyclic Conditionals	Unknown	PDF	N/A
CAFE: Catastrophic Data Leakage in Vertical Federated Learning	Unknown	PDF	N/A
Topological Detection of Trojaned Neural Networks	Unknown	PDF	N/A
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence	Unknown	PDF	N/A
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration	Unknown	PDF	N/A
The Causal-Neural Connection: Expressiveness, Learnability, and Inference	Unknown	PDF	N/A
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency	Unknown	PDF	N/A
Redesigning the Transformer Architecture with Insights from Multi-particle Dynamical Systems	Unknown	PDF	N/A
Interpolation can hurt robust generalization even when there is no noise	Unknown	PDF	N/A
OctField: Hierarchical Implicit Functions for 3D Modeling	Unknown	PDF	N/A
Test-Time Personalization with a Transformer for Human Pose Estimation	Unknown	PDF	N/A
Dense Keypoints via Multiview Supervision	Unknown	PDF	N/A
Functional Variational Inference based on Stochastic Process Generators	Unknown	PDF	N/A
Overcoming the Convex Barrier for Simplex Inputs	Unknown	PDF	N/A
Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos	Unknown	PDF	N/A
CLIP-It! Language-Guided Video Summarization	Unknown	PDF	N/A
The Lazy Online Subgradient Algorithm is Universal on Strongly Convex Domains	Unknown	PDF	N/A
Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach	Unknown	PDF	N/A
An Exact Characterization of the Generalization Error for the Gibbs Algorithm	Unknown	PDF	N/A
Evaluating model performance under worst-case subpopulations	Unknown	PDF	N/A
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples	Unknown	PDF	N/A
Risk-averse Heteroscedastic Bayesian Optimization	Unknown	PDF	N/A
Mining the Benefits of Two-stage and One-stage HOI Detection	Unknown	PDF	N/A
Bias Out-of-the-Box: An Empirical Analysis of Intersectional Occupational Biases in Popular Generative Language Models	Unknown	PDF	N/A
Learning Equilibria in Matching Markets from Bandit Feedback	Unknown	PDF	N/A
Improving black-box optimization in VAE latent space using decoder uncertainty	Unknown	PDF	N/A
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms	Unknown	PDF	N/A
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory	Unknown	PDF	N/A
TöRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis	Unknown	PDF	N/A
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond	Unknown	PDF	N/A
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models	Unknown	PDF	N/A
Adapting to function difficulty and growth conditions in private optimization	Unknown	PDF	N/A
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers	Unknown	PDF	N/A
Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds	Unknown	PDF	N/A
AutoBalance: Optimized Loss Functions for Imbalanced Data	Unknown	PDF	N/A
Gradient Descent on Two-layer Nets: Margin Maximization and Simplicity Bias	Unknown	PDF	N/A
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification	Unknown	PDF	N/A
You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection	Unknown	PDF	N/A
Towards Efficient and Effective Adversarial Training	Unknown	PDF	N/A
Neural Dubber: Dubbing for Videos According to Scripts	Unknown	PDF	N/A
Revealing and Protecting Labels in Distributed Training	Unknown	PDF	N/A
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers	Unknown	PDF	N/A
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization	Unknown	PDF	N/A
Scaling Up Exact Neural Network Compression by ReLU Stability	Unknown	PDF	N/A
Revisiting 3D Object Detection From an Egocentric Perspective	Unknown	PDF	N/A
Learning Debiased Representation via Disentangled Feature Augmentation	Unknown	PDF	N/A
ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis	Unknown	PDF	N/A
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning	Unknown	PDF	N/A
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism	Unknown	PDF	N/A
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization	Unknown	PDF	N/A
Post-processing for Individual Fairness	Unknown	PDF	N/A
Linear and Kernel Classification in the Streaming Model: Improved Bounds for Heavy Hitters	Unknown	PDF	N/A
Bridging the Imitation Gap by Adaptive Insubordination	Unknown	PDF	N/A
Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis	Unknown	PDF	N/A
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning	Unknown	PDF	N/A
Last-iterate Convergence in Extensive-Form Games	Unknown	PDF	N/A
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement	Unknown	PDF	N/A
On Blame Attribution for Accountable Multi-Agent Sequential Decision Making	Unknown	PDF	N/A
Locally private online change point detection	Unknown	PDF	N/A
A Causal Lens for Controllable Text Generation	Unknown	PDF	N/A
Unsupervised Part Discovery from Contrastive Reconstruction	Unknown	PDF	N/A
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning	Unknown	PDF	N/A
Beyond Tikhonov: faster learning with self-concordant losses, via iterative regularization	Unknown	PDF	N/A
Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach	Unknown	PDF	N/A
Topology-Imbalance Learning for Semi-Supervised Node Classification	Unknown	PDF	N/A
FACMAC: Factored Multi-Agent Centralised Policy Gradients	Unknown	PDF	N/A
Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing	Unknown	PDF	N/A
Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation	Unknown	PDF	N/A
Continuous vs. Discrete Optimization of Deep Neural Networks	Unknown	PDF	N/A
Post-Training Quantization for Vision Transformer	Unknown	PDF	N/A
Edge Representation Learning with Hypergraphs	Unknown	PDF	N/A
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark	Unknown	PDF	N/A
Conditional Generation Using Polynomial Expansions	Unknown	PDF	N/A
Model-Based Episodic Memory Induces Dynamic Hybrid Controls	Unknown	PDF	N/A
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction	Unknown	PDF	N/A
Deep Learning Through the Lens of Example Difficulty	Unknown	PDF	N/A
Understanding Bandits with Graph Feedback	Unknown	PDF	N/A
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings	Unknown	PDF	N/A
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence	Unknown	PDF	N/A
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space	Unknown	PDF	N/A
Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Online Adaptation to Label Distribution Shift	Unknown	PDF	N/A
Sample Selection for Fair and Robust Training	Unknown	PDF	N/A
Integrating Tree Path in Transformer for Code Representation	Unknown	PDF	N/A
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification	Unknown	PDF	N/A
VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media	Unknown	PDF	N/A
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation	Unknown	PDF	N/A
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression	Unknown	PDF	N/A
A Non-commutative Extension of Lee-Seung's Algorithm for Positive Semidefinite Factorizations	Unknown	PDF	N/A
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle	Unknown	PDF	N/A
Differentially Private Federated Bayesian Optimization with Distributed Exploration	Unknown	PDF	N/A
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization	Unknown	PDF	N/A
Deep Conditional Gaussian Mixture Model for Constrained Clustering	Unknown	PDF	N/A
EditGAN: High-Precision Semantic Image Editing	Unknown	PDF	N/A
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations	Unknown	PDF	N/A
VoiceMixer: Adversarial Voice Style Mixup	Unknown	PDF	N/A
BCORLE($\lambda$): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market	Unknown	PDF	N/A
Unsupervised Object-Based Transition Models For 3D Partially Observable Environments	Unknown	PDF	N/A
Learning Graph Models for Retrosynthesis Prediction	Unknown	PDF	N/A
On Success and Simplicity: A Second Look at Transferable Targeted Attacks	Unknown	PDF	N/A
Variational Model Inversion Attacks	Unknown	PDF	N/A
A Computationally Efficient Method for Learning Exponential Family Distributions	Unknown	PDF	N/A
Streaming Belief Propagation for Community Detection	Unknown	PDF	N/A
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection	Unknown	PDF	N/A
Learning Generalized Gumbel-max Causal Mechanisms	Unknown	PDF	N/A
A PAC-Bayes Analysis of Adversarial Robustness	Unknown	PDF	N/A
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning	Unknown	PDF	N/A
Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks	Unknown	PDF	N/A
Improved Regularization and Robustness for Fine-tuning in Neural Networks	Unknown	PDF	N/A
Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling	Unknown	PDF	N/A
Dataset Distillation with Infinitely Wide Convolutional Networks	Unknown	PDF	N/A
Multi-Person 3D Motion Prediction with Multi-Range Transformers	Unknown	PDF	N/A
Efficient Bayesian network structure learning via local Markov boundary search	Unknown	PDF	N/A
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL	Unknown	PDF	N/A
On the Value of Infinite Gradients in Variational Autoencoder Models	Unknown	PDF	N/A
Sequential Causal Imitation Learning with Unobserved Confounders	Unknown	PDF	N/A
Faster Non-asymptotic Convergence for Double Q-learning	Unknown	PDF	N/A
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction	Unknown	PDF	N/A
Provably Strict Generalisation Benefit for Invariance in Kernel Methods	Unknown	PDF	N/A
Accelerating Quadratic Optimization with Reinforcement Learning	Unknown	PDF	N/A
Multi-armed Bandit Requiring Monotone Arm Sequences	Unknown	PDF	N/A
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds	Unknown	PDF	N/A
Early-stopped neural networks are consistent	Unknown	PDF	N/A
Class-agnostic Reconstruction of Dynamic Objects from Videos	Unknown	PDF	N/A
Meta-Adaptive Nonlinear Control: Theory and Algorithms	Unknown	PDF	N/A
A nonparametric method for gradual change problems with statistical guarantees	Unknown	PDF	N/A
Analyzing the Generalization Capability of SGLD Using Properties of Gaussian Channels	Unknown	PDF	N/A
An Uncertainty Principle is a Price of Privacy-Preserving Microdata	Unknown	PDF	N/A
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch	Unknown	PDF	N/A
Neural Routing by Memory	Unknown	PDF	N/A
Improved Regret Bounds for Tracking Experts with Memory	Unknown	PDF	N/A
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation	Unknown	PDF	N/A
Learning where to learn: Gradient sparsity in meta and continual learning	Unknown	PDF	N/A
Fuzzy Clustering with Similarity Queries	Unknown	PDF	N/A
User-Level Differentially Private Learning via Correlated Sampling	Unknown	PDF	N/A
Learning to Generate Visual Questions with Noisy Supervision	Unknown	PDF	N/A
Scaling Vision with Sparse Mixture of Experts	Unknown	PDF	N/A
What training reveals about neural network complexity	Unknown	PDF	N/A
Dimensionality Reduction for Wasserstein Barycenter	Unknown	PDF	N/A
Gradient Starvation: A Learning Proclivity in Neural Networks	Unknown	PDF	N/A
Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes	Unknown	PDF	N/A
Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection	Unknown	PDF	N/A
Dynamic Resolution Network	Unknown	PDF	N/A
Probabilistic Forecasting: A Level-Set Approach	Unknown	PDF	N/A
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding	Unknown	PDF	N/A
Pipeline Combinators for Gradual AutoML	Unknown	PDF	N/A
Play to Grade: Testing Coding Games as Classifying Markov Decision Process	Unknown	PDF	N/A
Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces	Unknown	PDF	N/A
Collaborating with Humans without Human Data	Unknown	PDF	N/A
Constrained Two-step Look-Ahead Bayesian Optimization	Unknown	PDF	N/A
A Stochastic Newton Algorithm for Distributed Convex Optimization	Unknown	PDF	N/A
Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi	Unknown	PDF	N/A
Adversarial Feature Desensitization	Unknown	PDF	N/A
Shared Independent Component Analysis for Multi-Subject Neuroimaging	Unknown	PDF	N/A
Nested Variational Inference	Unknown	PDF	N/A
Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks	Unknown	PDF	N/A
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning	Unknown	PDF	N/A
Pooling by Sliced-Wasserstein Embedding	Unknown	PDF	N/A
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach	Unknown	PDF	N/A
Meta-learning to Improve Pre-training	Unknown	PDF	N/A
Stylized Dialogue Generation with Multi-Pass Dual Learning	Unknown	PDF	N/A
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble	Unknown	PDF	N/A
Optimization-Based Algebraic Multigrid Coarsening Using Reinforcement Learning	Unknown	PDF	N/A
Object-aware Contrastive Learning for Debiased Scene Representation	Unknown	PDF	N/A
Dynamic Grained Encoder for Vision Transformers	Unknown	PDF	N/A
Contrastively Disentangled Sequential Variational Autoencoder	Unknown	PDF	N/A
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints	Unknown	PDF	N/A
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy	Unknown	PDF	N/A
Robust and Decomposable Average Precision for Image Retrieval	Unknown	PDF	N/A
Learning Transferable Adversarial Perturbations	Unknown	PDF	N/A
Efficient Online Estimation of Causal Effects by Deciding What to Observe	Unknown	PDF	N/A
Pay Attention to MLPs	Unknown	PDF	N/A
Robust Learning of Optimal Auctions	Unknown	PDF	N/A
Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection	Unknown	PDF	N/A
Locally differentially private estimation of functionals of discrete distributions	Unknown	PDF	N/A
Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose	Unknown	PDF	N/A
Breaking the Dilemma of Medical Image-to-image Translation	Unknown	PDF	N/A
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations	Unknown	PDF	N/A
Machine Learning for Variance Reduction in Online Experiments	Unknown	PDF	N/A
Learning with Noisy Correspondence for Cross-modal Matching	Unknown	PDF	N/A
Indexed Minimum Empirical Divergence for Unimodal Bandits	Unknown	PDF	N/A
Learning Graph Cellular Automata	Unknown	PDF	N/A
The Skellam Mechanism for Differentially Private Federated Learning	Unknown	PDF	N/A
Logarithmic Regret in Feature-based Dynamic Pricing	Unknown	PDF	N/A
SNIPS: Solving Noisy Inverse Problems Stochastically	Unknown	PDF	N/A
A Shading-Guided Generative Implicit Model for Shape-Accurate 3D-Aware Image Synthesis	Unknown	PDF	N/A
Learning to Compose Visual Relations	Unknown	PDF	N/A
Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method	Unknown	PDF	N/A
Machine versus Human Attention in Deep Reinforcement Learning Tasks	Unknown	PDF	N/A
Analytic Study of Families of Spurious Minima in Two-Layer ReLU Neural Networks: A Tale of Symmetry II	Unknown	PDF	N/A
Global Convergence of Gradient Descent for Asymmetric Low-Rank Matrix Factorization	Unknown	PDF	N/A
Coupled Segmentation and Edge Learning via Dynamic Graph Propagation	Unknown	PDF	N/A
Online learning in MDPs with linear function approximation and bandit feedback.	Unknown	PDF	N/A
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions	Unknown	PDF	N/A
Temporal-attentive Covariance Pooling Networks for Video Recognition	Unknown	PDF	N/A
Improving Conditional Coverage via Orthogonal Quantile Regression	Unknown	PDF	N/A
Speech-T: Transducer for Text to Speech and Beyond	Unknown	PDF	N/A
Machine learning structure preserving brackets for forecasting irreversible processes	Unknown	PDF	N/A
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers	Unknown	PDF	N/A
Group Equivariant Subsampling	Unknown	PDF	N/A
GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction	Unknown	PDF	N/A
Tree in Tree: from Decision Trees to Decision Graphs	Unknown	PDF	N/A
Generalized Proximal Policy Optimization with Sample Reuse	Unknown	PDF	N/A
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks	Unknown	PDF	N/A
Diverse Message Passing for Attribute with Heterophily	Unknown	PDF	N/A
Matching a Desired Causal State via Shift Interventions	Unknown	PDF	N/A
Learning to Assimilate in Chaotic Dynamical Systems	Unknown	PDF	N/A
Independent mechanism analysis, a new concept?	Unknown	PDF	N/A
Representation Costs of Linear Neural Networks: Analysis and Design	Unknown	PDF	N/A
Active Learning of Convex Halfspaces on Graphs	Unknown	PDF	N/A
Environment Generation for Zero-Shot Compositional Reinforcement Learning	Unknown	PDF	N/A
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers	Unknown	PDF	N/A
Grounding inductive biases in natural images: invariance stems from variations in data	Unknown	PDF	N/A
Efficient Statistical Assessment of Neural Network Corruption Robustness	Unknown	PDF	N/A
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning	Unknown	PDF	N/A
argmax centroid	Unknown	PDF	N/A
Rethinking the Variational Interpretation of Accelerated Optimization Methods	Unknown	PDF	N/A
Adaptive Proximal Gradient Methods for Structured Neural Networks	Unknown	PDF	N/A
Decision Transformer: Reinforcement Learning via Sequence Modeling	Unknown	PDF	N/A
Scaling Neural Tangent Kernels via Sketching and Random Features	Unknown	PDF	N/A
Fast Pure Exploration via Frank-Wolfe	Unknown	PDF	N/A
Learning with Algorithmic Supervision via Continuous Relaxations	Unknown	PDF	N/A
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks	Unknown	PDF	N/A
On the Variance of the Fisher Information for Deep Learning	Unknown	PDF	N/A
On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)	Unknown	PDF	N/A
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?	Unknown	PDF	N/A
Twins: Revisiting the Design of Spatial Attention in Vision Transformers	Unknown	PDF	N/A
Auditing Black-Box Prediction Models for Data Minimization Compliance	Unknown	PDF	N/A
Regularized Softmax Deep Multi-Agent Q-Learning	Unknown	PDF	N/A
BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation	Unknown	PDF	N/A
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data	Unknown	PDF	N/A
When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work	Unknown	PDF	N/A
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess	Unknown	PDF	N/A
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering	Unknown	PDF	N/A
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels	Unknown	PDF	N/A
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots	Unknown	PDF	N/A
Invertible Tabular GANs: Killing Two Birds with One Stone for Tabular Data Synthesis	Unknown	PDF	N/A
Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition	Unknown	PDF	N/A
Learning Debiased and Disentangled Representations for Semantic Segmentation	Unknown	PDF	N/A
Stability and Generalization of Bilevel Programming in Hyperparameter Optimization	Unknown	PDF	N/A
A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference	Unknown	PDF	N/A
Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows	Unknown	PDF	N/A
Adversarial Robustness of Streaming Algorithms through Importance Sampling	Unknown	PDF	N/A
Video Instance Segmentation using Inter-Frame Communication Transformers	Unknown	PDF	N/A
Towards Tight Communication Lower Bounds for Distributed Optimisation	Unknown	PDF	N/A
Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks	Unknown	PDF	N/A
Uncertainty Quantification and Deep Ensembles	Unknown	PDF	N/A
BooVI: Provably Efficient Bootstrapped Value Iteration	Unknown	PDF	N/A
A Framework to Learn with Interpretation	Unknown	PDF	N/A
Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning	Unknown	PDF	N/A
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation	Unknown	PDF	N/A
Improving Robustness using Generated Data	Unknown	PDF	N/A
Model Selection for Bayesian Autoencoders	Unknown	PDF	N/A
Generalization Error Rates in Kernel Regression: The Crossover from the Noiseless to Noisy Regime	Unknown	PDF	N/A
On Path Integration of Grid Cells: Group Representation and Isotropic Scaling	Unknown	PDF	N/A
Unfolding Taylor's Approximations for Image Restoration	Unknown	PDF	N/A
Towards Lower Bounds on the Depth of ReLU Neural Networks	Unknown	PDF	N/A
Deep Self-Dissimilarities as Powerful Visual Fingerprints	Unknown	PDF	N/A
UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis	Unknown	PDF	N/A
Conformal Prediction using Conditional Histograms	Unknown	PDF	N/A
D2C: Diffusion-Decoding Models for Few-Shot Conditional Generation	Unknown	PDF	N/A
Distributed Machine Learning with Sparse Heterogeneous Data	Unknown	PDF	N/A
Associative Memories via Predictive Coding	Unknown	PDF	N/A
Adaptive Data Augmentation on Temporal Graphs	Unknown	PDF	N/A
Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation	Unknown	PDF	N/A
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks	Unknown	PDF	N/A
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision	Unknown	PDF	N/A
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer	Unknown	PDF	N/A
Meta-Learning Reliable Priors in the Function Space	Unknown	PDF	N/A
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift	Unknown	PDF	N/A
Federated-EM with heterogeneity mitigation and variance reduction	Unknown	PDF	N/A
Recovering Latent Causal Factor for Generalization to Distributional Shifts	Unknown	PDF	N/A
Dual-stream Network for Visual Recognition	Unknown	PDF	N/A
Shape As Points: A Differentiable Poisson Solver	Unknown	PDF	N/A
Spatio-Temporal Variational Gaussian Processes	Unknown	PDF	N/A
Smoothness Matrices Beat Smoothness Constants: Better Communication Compression Techniques for Distributed Optimization	Unknown	PDF	N/A
Long-Short Transformer: Efficient Transformers for Language and Vision	Unknown	PDF	N/A
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods	Unknown	PDF	N/A
Unadversarial Examples: Designing Objects for Robust Vision	Unknown	PDF	N/A
Reward is enough for convex MDPs	Unknown	PDF	N/A
Dangers of Bayesian Model Averaging under Covariate Shift	Unknown	PDF	N/A
Differentially Private Sampling from Distributions	Unknown	PDF	N/A
Provably efficient, succinct, and precise explanations	Unknown	PDF	N/A
Storchastic: A Framework for General Stochastic Automatic Differentiation	Unknown	PDF	N/A
Differentially Private Multi-Armed Bandits in the Shuffle Model	Unknown	PDF	N/A
Program Synthesis Guided Reinforcement Learning for Partially Observed Environments	Unknown	PDF	N/A
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration	Unknown	PDF	N/A
Hessian Eigenspectra of More Realistic Nonlinear Models	Unknown	PDF	N/A
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction	Unknown	PDF	N/A
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data	Unknown	PDF	N/A
Subgraph Federated Learning with Missing Neighbor Generation	Unknown	PDF	N/A
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs	Unknown	PDF	N/A
Provably Efficient Causal Reinforcement Learning with Confounded Observational Data	Unknown	PDF	N/A
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions	Unknown	PDF	N/A
A Kernel-based Test of Independence for Cluster-correlated Data	Unknown	PDF	N/A
Unique sparse decomposition of low rank matrices	Unknown	PDF	N/A
Data Augmentation Can Improve Robustness	Unknown	PDF	N/A
Fair Sequential Selection Using Supervised Learning Models	Unknown	PDF	N/A
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL	Unknown	PDF	N/A
Escaping Saddle Points with Compressed SGD	Unknown	PDF	N/A
The Difficulty of Passive Learning in Deep Reinforcement Learning	Unknown	PDF	N/A
Multilingual Pre-training with Universal Dependency Learning	Unknown	PDF	N/A
Self-Supervised Bug Detection and Repair	Unknown	PDF	N/A
Neural Trees for Learning on Graphs	Unknown	PDF	N/A
When Is Generalizable Reinforcement Learning Tractable?	Unknown	PDF	N/A
On the Representation of Solutions to Elliptic PDEs in Barron Spaces	Unknown	PDF	N/A
Towards optimally abstaining from prediction with OOD test examples	Unknown	PDF	N/A
Precise characterization of the prior predictive distribution of deep ReLU networks	Unknown	PDF	N/A
Random Shuffling Beats SGD Only After Many Epochs on Ill-Conditioned Problems	Unknown	PDF	N/A
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning	Unknown	PDF	N/A
Rethinking Neural Operations for Diverse Tasks	Unknown	PDF	N/A
Training Neural Networks is ER-complete	Unknown	PDF	N/A
ErrorCompensatedX: error compensation for variance reduced algorithms	Unknown	PDF	N/A
Densely connected normalizing flows	Unknown	PDF	N/A
Collaborative Causal Discovery with Atomic Interventions	Unknown	PDF	N/A
An Even More Optimal Stochastic Optimization Algorithm: Minibatching and Interpolation Learning	Unknown	PDF	N/A
SOPE: Spectrum of Off-Policy Estimators	Unknown	PDF	N/A
Learning with User-Level Privacy	Unknown	PDF	N/A
Neural Tangent Kernel Maximum Mean Discrepancy	Unknown	PDF	N/A
Estimating the Long-Term Effects of Novel Treatments	Unknown	PDF	N/A
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting	Unknown	PDF	N/A
Bandit Quickest Changepoint Detection	Unknown	PDF	N/A
OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization	Unknown	PDF	N/A
How Well do Feature Visualizations Support Causal Understanding of CNN Activations?	Unknown	PDF	N/A
Margin-Independent Online Multiclass Learning via Convex Geometry	Unknown	PDF	N/A
Does enforcing fairness mitigate biases caused by subpopulation shift?	Unknown	PDF	N/A
Batch Active Learning at Scale	Unknown	PDF	N/A
Variational Bayesian Optimistic Sampling	Unknown	PDF	N/A
Mind the Gap: Assessing Temporal Generalization in Neural Language Models	Unknown	PDF	N/A
Automated Dynamic Mechanism Design	Unknown	PDF	N/A
On the Suboptimality of Thompson Sampling in High Dimensions	Unknown	PDF	N/A
Interventional Sum-Product Networks: Causal Inference with Tractable Probabilistic Models	Unknown	PDF	N/A
Deep Neural Networks as Point Estimates for Deep Gaussian Processes	Unknown	PDF	N/A
Learning Treatment Effects in Panels with General Intervention Patterns	Unknown	PDF	N/A
PiRank: Scalable Learning To Rank via Differentiable Sorting	Unknown	PDF	N/A
Ranking Policy Decisions	Unknown	PDF	N/A
Local Disentanglement in Variational Auto-Encoders Using Jacobian $L_1$ Regularization	Unknown	PDF	N/A
CoAtNet: Marrying Convolution and Attention for All Data Sizes	Unknown	PDF	N/A
Multiple Descent: Design Your Own Generalization Curve	Unknown	PDF	N/A
Generating High-Quality Explanations for Navigation in Partially-Revealed Environments	Unknown	PDF	N/A
Solving Soft Clustering Ensemble via $k$-Sparse Discrete Wasserstein Barycenter	Unknown	PDF	N/A
Learning Models for Actionable Recourse	Unknown	PDF	N/A
A variational approximate posterior for the deep Wishart process	Unknown	PDF	N/A
Bayesian decision-making under misspecified priors with applications to meta-learning	Unknown	PDF	N/A
Infinite Time Horizon Safety of Bayesian Neural Networks	Unknown	PDF	N/A
Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization	Unknown	PDF	N/A
Pretraining Representations for Data-Efficient Reinforcement Learning	Unknown	PDF	N/A
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?	Unknown	PDF	N/A
BayesIMP: Uncertainty Quantification for Causal Data Fusion	Unknown	PDF	N/A
Self-Interpretable Model with Transformation Equivariant Interpretation	Unknown	PDF	N/A
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability	Unknown	PDF	N/A
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems	Unknown	PDF	N/A
Distributed Zero-Order Optimization under Adversarial Noise	Unknown	PDF	N/A
Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation	Unknown	PDF	N/A
Parallelizing Thompson Sampling	Unknown	PDF	N/A
Differential Privacy Over Riemannian Manifolds	Unknown	PDF	N/A
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training	Unknown	PDF	N/A
Sliced Mutual Information: A Scalable Measure of Statistical Dependence	Unknown	PDF	N/A
Smooth Bilevel Programming for Sparse Regularization	Unknown	PDF	N/A
Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling	Unknown	PDF	N/A
Variance-Aware Off-Policy Evaluation with Linear Function Approximation	Unknown	PDF	N/A
On the Representation Power of Set Pooling Networks	Unknown	PDF	N/A
Dimension-free empirical entropy estimation	Unknown	PDF	N/A
Geometry Processing with Neural Fields	Unknown	PDF	N/A
Provably efficient multi-task reinforcement learning with model transfer	Unknown	PDF	N/A
DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks	Unknown	PDF	N/A
Deep Synoptic Monte-Carlo Planning in Reconnaissance Blind Chess	Unknown	PDF	N/A
Attention over Learned Object Embeddings Enables Complex Visual Reasoning	Unknown	PDF	N/A
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression	Unknown	PDF	N/A
Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems	Unknown	PDF	N/A
A Topological Perspective on Causal Inference	Unknown	PDF	N/A
Shifted Chunk Transformer for Spatio-Temporal Representational Learning	Unknown	PDF	N/A
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media	Unknown	PDF	N/A
Continuous-time edge modelling using non-parametric point processes	Unknown	PDF	N/A
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions	Unknown	PDF	N/A
Intriguing Properties of Vision Transformers	Unknown	PDF	N/A
Arbitrary Conditional Distributions with Energy	Unknown	PDF	N/A
Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning	Unknown	PDF	N/A
UCB-based Algorithms for Multinomial Logistic Regression Bandits	Unknown	PDF	N/A
BooVAE: Boosting Approach for Continual Learning of VAE	Unknown	PDF	N/A
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems	Unknown	PDF	N/A
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements	Unknown	PDF	N/A
Rebounding Bandits for Modeling Satiation Effects	Unknown	PDF	N/A
Efficient methods for Gaussian Markov random fields under sparse linear constraints	Unknown	PDF	N/A
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling	Unknown	PDF	N/A
Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions	Unknown	PDF	N/A
Revisiting the Calibration of Modern Neural Networks	Unknown	PDF	N/A
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning	Unknown	PDF	N/A
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations	Unknown	PDF	N/A
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels	Unknown	PDF	N/A
Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning	Unknown	PDF	N/A
NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs	Unknown	PDF	N/A
Bootstrapping the Error of Oja's Algorithm	Unknown	PDF	N/A
Towards Stable and Robust AdderNets	Unknown	PDF	N/A
Probability Paths and the Structure of Predictions over Time	Unknown	PDF	N/A
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning	Unknown	PDF	N/A
Global Convergence of Online Optimization for Nonlinear Model Predictive Control	Unknown	PDF	N/A
ProTo: Program-Guided Transformer for Program-Guided Tasks	Unknown	PDF	N/A
Oracle-Efficient Regret Minimization in Factored MDPs with Unknown Structure	Unknown	PDF	N/A
Observation-Free Attacks on Stochastic Bandits	Unknown	PDF	N/A
Contrastive Learning of Global and Local Video Representations	Unknown	PDF	N/A
A Theoretical Analysis of Fine-tuning with Linear Teachers	Unknown	PDF	N/A
On Training Implicit Models	Unknown	PDF	N/A
Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity	Unknown	PDF	N/A
Reconstruction for Powerful Graph Representations	Unknown	PDF	N/A
Deep Molecular Representation Learning via Fusing Physical and Chemical Information	Unknown	PDF	N/A
Implicit Generative Copulas	Unknown	PDF	N/A
Automatic Data Augmentation for Generalization in Reinforcement Learning	Unknown	PDF	N/A
Local Hyper-Flow Diffusion	Unknown	PDF	N/A
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model	Unknown	PDF	N/A
Differentially Private Empirical Risk Minimization under the Fairness Lens	Unknown	PDF	N/A
Adversarial Neuron Pruning Purifies Backdoored Deep Models	Unknown	PDF	N/A
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods	Unknown	PDF	N/A
PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair	Unknown	PDF	N/A
Adversarial Intrinsic Motivation for Reinforcement Learning	Unknown	PDF	N/A
Embedding Principle of Loss Landscape of Deep Neural Networks	Unknown	PDF	N/A
Progressive Feature Interaction Search for Deep Sparse Network	Unknown	PDF	N/A
Towards Multi-Grained Explainability for Graph Neural Networks	Unknown	PDF	N/A
Multi-task Learning of Order-Consistent Causal Graphs	Unknown	PDF	N/A
Sequence-to-Sequence Learning with Latent Neural Grammars	Unknown	PDF	N/A
Causal Identification with Matrix Equations	Unknown	PDF	N/A
Compressed Video Contrastive Learning	Unknown	PDF	N/A
Low-Rank Subspaces in GANs	Unknown	PDF	N/A
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks	Unknown	PDF	N/A
Differentiable rendering with perturbed optimizers	Unknown	PDF	N/A
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder	Unknown	PDF	N/A
Controlled Text Generation as Continuous Optimization with Multiple Constraints	Unknown	PDF	N/A
Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit	Unknown	PDF	N/A
Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel	Unknown	PDF	N/A
Individual Privacy Accounting via a Rényi Filter	Unknown	PDF	N/A
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling	Unknown	PDF	N/A
A Comprehensively Tight Analysis of Gradient Descent for PCA	Unknown	PDF	N/A
CCVS: Context-aware Controllable Video Synthesis	Unknown	PDF	N/A
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback	Unknown	PDF	N/A
Multi-Scale Representation Learning on Proteins	Unknown	PDF	N/A
Exploring the Limits of Out-of-Distribution Detection	Unknown	PDF	N/A
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition	Unknown	PDF	N/A
The Value of Information When Deciding What to Learn	Unknown	PDF	N/A
Minimax Regret for Stochastic Shortest Path	Unknown	PDF	N/A
Tensor Normal Training for Deep Learning Models	Unknown	PDF	N/A
Fair Algorithms for Multi-Agent Multi-Armed Bandits	Unknown	PDF	N/A
Nested Graph Neural Networks	Unknown	PDF	N/A
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds	Unknown	PDF	N/A
Variational Bayesian Reinforcement Learning with Regret Bounds	Unknown	PDF	N/A
A Gradient Method for Multilevel Optimization	Unknown	PDF	N/A
A universal probabilistic spike count model reveals ongoing modulation of neural variability	Unknown	PDF	N/A
Shape Registration in the Time of Transformers	Unknown	PDF	N/A
Towards Instance-Optimal Offline Reinforcement Learning with Pessimism	Unknown	PDF	N/A
Optimality of variational inference for stochasticblock model with missing links	Unknown	PDF	N/A
Dynamic Trace Estimation	Unknown	PDF	N/A
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks	Unknown	PDF	N/A
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme	Unknown	PDF	N/A
Learning Student-Friendly Teacher Networks for Knowledge Distillation	Unknown	PDF	N/A
Towards Best-of-All-Worlds Online Learning with Feedback Graphs	Unknown	PDF	N/A
A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval	Unknown	PDF	N/A
Progressive Coordinate Transforms for Monocular 3D Object Detection	Unknown	PDF	N/A
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering	Unknown	PDF	N/A
Learning and Generalization in RNNs	Unknown	PDF	N/A
Counterfactual Explanations Can Be Manipulated	Unknown	PDF	N/A
Scheduling jobs with stochastic holding costs	Unknown	PDF	N/A
On the Value of Interaction and Function Approximation in Imitation Learning	Unknown	PDF	N/A
Nonparametric estimation of continuous DPPs with kernel methods	Unknown	PDF	N/A
Learning Disentangled Behavior Embeddings	Unknown	PDF	N/A
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective	Unknown	PDF	N/A
Dueling Bandits with Adversarial Sleeping	Unknown	PDF	N/A
Inverse-Weighted Survival Games	Unknown	PDF	N/A
Identifiability in inverse reinforcement learning	Unknown	PDF	N/A
Modular Gaussian Processes for Transfer Learning	Unknown	PDF	N/A
Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods	Unknown	PDF	N/A
Neural Relightable Participating Media Rendering	Unknown	PDF	N/A
Time-series Generation by Contrastive Imitation	Unknown	PDF	N/A
Exploiting Opponents Under Utility Constraints in Sequential Games	Unknown	PDF	N/A
Model-Based Domain Generalization	Unknown	PDF	N/A
The Elastic Lottery Ticket Hypothesis	Unknown	PDF	N/A
Hybrid Regret Bounds for Combinatorial Semi-Bandits and Adversarial Linear Bandits	Unknown	PDF	N/A
Learning Optimal Predictive Checklists	Unknown	PDF	N/A
Learning Markov State Abstractions for Deep Reinforcement Learning	Unknown	PDF	N/A
Learning to Elect	Unknown	PDF	N/A
Projected GANs Converge Faster	Unknown	PDF	N/A
Certifying Robustness to Programmable Data Bias in Decision Trees	Unknown	PDF	N/A
M-FAC: Efficient Matrix-Free Approximations of Second-Order Information	Unknown	PDF	N/A
Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms	Unknown	PDF	N/A
Transformer in Transformer	Unknown	PDF	N/A
Neural Scene Flow Prior	Unknown	PDF	N/A
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers	Unknown	PDF	N/A
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation	Unknown	PDF	N/A
Dynamics-regulated kinematic policy for egocentric pose estimation	Unknown	PDF	N/A
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up	Unknown	PDF	N/A
A/B/n Testing with Control in the Presence of Subpopulations	Unknown	PDF	N/A
EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization	Unknown	PDF	N/A
Baby Intuitions Benchmark (BIB): Discerning the goals, preferences, and actions of others	Unknown	PDF	N/A
Introspective Distillation for Robust Question Answering	Unknown	PDF	N/A
Bandit Learning with Delayed Impact of Actions	Unknown	PDF	N/A
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification	Unknown	PDF	N/A
Heavy Ball Neural Ordinary Differential Equations	Unknown	PDF	N/A
Recurrent Submodular Welfare and Matroid Blocking Semi-Bandits	Unknown	PDF	N/A
Online Learning Of Neural Computations From Sparse Temporal Feedback	Unknown	PDF	N/A
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators	Unknown	PDF	N/A
Testing Probabilistic Circuits	Unknown	PDF	N/A
Aligning Pretraining for Detection via Object-Level Contrastive Learning	Unknown	PDF	N/A
Perturbation Theory for the Information Bottleneck	Unknown	PDF	N/A
Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium	Unknown	PDF	N/A
DRONE: Data-aware Low-rank Compression for Large NLP Models	Unknown	PDF	N/A
Pseudo-Spherical Contrastive Divergence	Unknown	PDF	N/A
How Fine-Tuning Allows for Effective Meta-Learning	Unknown	PDF	N/A
Learning in Multi-Stage Decentralized Matching Markets	Unknown	PDF	N/A
Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training	Unknown	PDF	N/A
Cross-view Geo-localization with Layer-to-Layer Transformer	Unknown	PDF	N/A
Differential Privacy Dynamics of Langevin Diffusion and Noisy Gradient Descent	Unknown	PDF	N/A
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning	Unknown	PDF	N/A
FINE Samples for Learning with Noisy Labels	Unknown	PDF	N/A
Distributionally Robust Imitation Learning	Unknown	PDF	N/A
Probabilistic Tensor Decomposition of Neural Population Spiking Activity	Unknown	PDF	N/A
Change Point Detection via Multivariate Singular Spectrum Analysis	Unknown	PDF	N/A
Mixability made efficient: Fast online multiclass logistic regression	Unknown	PDF	N/A
Does Knowledge Distillation Really Work?	Unknown	PDF	N/A
Risk Bounds and Calibration for a Smart Predict-then-Optimize Method	Unknown	PDF	N/A

NIPS 2022

Title	Author	PDF_Link	Code_URL
SurDis: A Surface Discontinuity Dataset for Wearable Technology to Assist Blind Navigation in Urban Environments	Unknown	PDF	N/A
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing	Unknown	PDF	N/A
VLMbench: A Compositional Benchmark for Vision-and-Language Manipulation	Unknown	PDF	N/A
AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies	Unknown	PDF	N/A
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case	Unknown	PDF	N/A
Ambiguous Images With Human Judgments for Robust Visual Event Classification	Unknown	PDF	N/A
Towards Better Evaluation for Dynamic Link Prediction	Unknown	PDF	N/A
pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models	Unknown	PDF	N/A
EgoTaskQA: Understanding Human Tasks in Egocentric Videos	Unknown	PDF	N/A
Finding Naturally Occurring Physical Backdoors in Image Datasets	Unknown	PDF	N/A
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models	Unknown	PDF	N/A
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization	Unknown	PDF	N/A
K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions	Unknown	PDF	N/A
PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation	Unknown	PDF	N/A
Touch and Go: Learning from Human-Collected Vision and Touch	Unknown	PDF	N/A
How Transferable are Video Representations Based on Synthetic Data?	Unknown	PDF	N/A
Nocturne: a scalable driving benchmark for bringing multi-agent learning one step closer to the real world	Unknown	PDF	N/A
How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios	Unknown	PDF	N/A
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset	Unknown	PDF	N/A
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking	Unknown	PDF	N/A
SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments	Unknown	PDF	N/A
Hard ImageNet: Segmentations for Objects with Strong Spurious Cues	Unknown	PDF	N/A
SCAMPS: Synthetics for Camera Measurement of Physiological Signals	Unknown	PDF	N/A
OpenOOD: Benchmarking Generalized Out-of-Distribution Detection	Unknown	PDF	N/A
A Large Scale Search Dataset for Unbiased Learning to Rank	Unknown	PDF	N/A
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning	Unknown	PDF	N/A
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems	Unknown	PDF	N/A
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge	Unknown	PDF	N/A
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations	Unknown	PDF	N/A
ComMU: Dataset for Combinatorial Music Generation	Unknown	PDF	N/A
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs	Unknown	PDF	N/A
TAP-Vid: A Benchmark for Tracking Any Point in a Video	Unknown	PDF	N/A
DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision	Unknown	PDF	N/A
Communicating Natural Programs to Humans and Machines	Unknown	PDF	N/A
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability	Unknown	PDF	N/A
SkinCon: A skin disease dataset densely annotated by domain experts for fine-grained debugging and analysis	Unknown	PDF	N/A
PROSPECT: Labeled Tandem Mass Spectrometry Dataset for Machine Learning in Proteomics	Unknown	PDF	N/A
FACT: Learning Governing Abstractions Behind Integer Sequences	Unknown	PDF	N/A
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation	Unknown	PDF	N/A
PeRFception: Perception using Radiance Fields	Unknown	PDF	N/A
A Greek Parliament Proceedings Dataset for Computational Linguistics and Political Analysis	Unknown	PDF	N/A
Addressing Resource Scarcity across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets	Unknown	PDF	N/A
TGEA 2.0: A Large-Scale Diagnostically Annotated Dataset with Benchmark Tasks for Text Generation of Pretrained Language Models	Unknown	PDF	N/A
BackdoorBench: A Comprehensive Benchmark of Backdoor Learning	Unknown	PDF	N/A
3DOS: Towards 3D Open Set Learning - Benchmarking and Understanding Semantic Novelty Detection on Point Clouds	Unknown	PDF	N/A
Flare7K: A Phenomenological Nighttime Flare Removal Dataset	Unknown	PDF	N/A
DC-BENCH: Dataset Condensation Benchmark	Unknown	PDF	N/A
Change Event Dataset for Discovery from Spatio-temporal Remote Sensing Imagery	Unknown	PDF	N/A
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks	Unknown	PDF	N/A
Understanding Aesthetics with Language: A Photo Critique Dataset for Aesthetic Assessment	Unknown	PDF	N/A
IKEA-Manual: Seeing Shape Assembly Step by Step	Unknown	PDF	N/A
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings	Unknown	PDF	N/A
Ontologue: Declarative Benchmark Construction for Ontological Multi-Label Classification	Unknown	PDF	N/A
MBW: Multi-view Bootstrapping in the Wild	Unknown	PDF	N/A
Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation	Unknown	PDF	N/A
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization	Unknown	PDF	N/A
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies	Unknown	PDF	N/A
PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding	Unknown	PDF	N/A
FlyView: a bio-informed optical flow truth dataset for visual navigation using panoramic stereo vision	Unknown	PDF	N/A
Chartalist: Labeled Graph Datasets for UTXO and Account-based Blockchains	Unknown	PDF	N/A
A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction	Unknown	PDF	N/A
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking	Unknown	PDF	N/A
OccGen: Selection of Real-world Multilingual Parallel Data Balanced in Gender within Occupations	Unknown	PDF	N/A
GriddlyJS: A Web IDE for Reinforcement Learning	Unknown	PDF	N/A
Model Zoos: A Dataset of Diverse Populations of Neural Network Models	Unknown	PDF	N/A
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification	Unknown	PDF	N/A
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs	Unknown	PDF	N/A
The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games	Unknown	PDF	N/A
Breaking Bad: A Dataset for Geometric Fracture and Reassembly	Unknown	PDF	N/A
USB: A Unified Semi-supervised Learning Benchmark for Classification	Unknown	PDF	N/A
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search	Unknown	PDF	N/A
WinoGAViL: Gamified Association Benchmark to Challenge Vision-and-Language Models	Unknown	PDF	N/A
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing	Unknown	PDF	N/A
MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control	Unknown	PDF	N/A
CLEVRER-Humans: Describing Physical and Causal Events the Human Way	Unknown	PDF	N/A
HandMeThat: Human-Robot Communication in Physical and Social Environments	Unknown	PDF	N/A
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology	Unknown	PDF	N/A
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset	Unknown	PDF	N/A
BLOX: Macro Neural Architecture Search Benchmark and Algorithms	Unknown	PDF	N/A
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition	Unknown	PDF	N/A
M4Singer: A Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing Corpus	Unknown	PDF	N/A
LAION-5B: An open large-scale dataset for training next generation image-text models	Unknown	PDF	N/A
MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification	Unknown	PDF	N/A
Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms	Unknown	PDF	N/A
ViSioNS: Visual Search in Natural Scenes Benchmark	Unknown	PDF	N/A
mRI: Multi-modal 3D Human Pose Estimation Dataset using mmWave, RGB-D, and Inertial Sensors	Unknown	PDF	N/A
ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment	Unknown	PDF	N/A
The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World	Unknown	PDF	N/A
FETA: Towards Specializing Foundational Models for Expert Task Applications	Unknown	PDF	N/A
AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection	Unknown	PDF	N/A
Evaluating Out-of-Distribution Performance on Document Image Classifiers	Unknown	PDF	N/A
Open High-Resolution Satellite Imagery: The WorldStrat Dataset – With Application to Super-Resolution	Unknown	PDF	N/A
OLIVES Dataset: Ophthalmic Labels for Investigating Visual Eye Semantics	Unknown	PDF	N/A
A Benchmark for Compositional Visual Reasoning	Unknown	PDF	N/A
xView3-SAR: Detecting Dark Fishing Activity Using Synthetic Aperture Radar Imagery	Unknown	PDF	N/A
Learning Long-Term Crop Management Strategies with CyclesGym	Unknown	PDF	N/A
ETAB: A Benchmark Suite for Visual Representation Learning in Echocardiography	Unknown	PDF	N/A
EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records	Unknown	PDF	N/A
GOOD: A Graph Out-of-Distribution Benchmark	Unknown	PDF	N/A
Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation	Unknown	PDF	N/A
MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction	Unknown	PDF	N/A
CAESAR: An Embodied Simulator for Generating Multimodal Referring Expression Datasets	Unknown	PDF	N/A
JAHS-Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search	Unknown	PDF	N/A
A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments	Unknown	PDF	N/A
Forecasting Future World Events With Neural Networks	Unknown	PDF	N/A
TwiBot-22: Towards Graph-Based Twitter Bot Detection	Unknown	PDF	N/A
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds	Unknown	PDF	N/A
Long Range Graph Benchmark	Unknown	PDF	N/A
Geoclidean: Few-Shot Generalization in Euclidean Geometry	Unknown	PDF	N/A
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains	Unknown	PDF	N/A
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine	Unknown	PDF	N/A
How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?	Unknown	PDF	N/A
OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters	Unknown	PDF	N/A
Why do tree-based models still outperform deep learning on typical tabular data?	Unknown	PDF	N/A
Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities	Unknown	PDF	N/A
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark	Unknown	PDF	N/A
Robustness Disparities in Face Detection	Unknown	PDF	N/A
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation	Unknown	PDF	N/A
TaiSu: A 166M Large-scale High-Quality Dataset for Chinese Vision-Language Pre-training	Unknown	PDF	N/A
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time	Unknown	PDF	N/A
PDEBench: An Extensive Benchmark for Scientific Machine Learning	Unknown	PDF	N/A
LIPS - Learning Industrial Physical Simulation benchmark suite	Unknown	PDF	N/A
Towards Video Text Visual Question Answering: Benchmark and Baseline	Unknown	PDF	N/A
SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning	Unknown	PDF	N/A
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning	Unknown	PDF	N/A
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks	Unknown	PDF	N/A
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion	Unknown	PDF	N/A
METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets	Unknown	PDF	N/A
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection	Unknown	PDF	N/A
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the Wild	Unknown	PDF	N/A
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions	Unknown	PDF	N/A
TempEL: Linking Dynamically Evolving and Newly Emerging Entities	Unknown	PDF	N/A
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models	Unknown	PDF	N/A
A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets	Unknown	PDF	N/A
Myriad: a real-world testbed to bridge trajectory optimization and deep learning	Unknown	PDF	N/A
TweetNERD - End to End Entity Linking Benchmark for Tweets	Unknown	PDF	N/A
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels	Unknown	PDF	N/A
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles	Unknown	PDF	N/A
This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish	Unknown	PDF	N/A
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks	Unknown	PDF	N/A
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?	Unknown	PDF	N/A
DART: Articulated Hand Model with Diverse Accessories and Rich Textures	Unknown	PDF	N/A
Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-based Stereo Methods	Unknown	PDF	N/A
CGLB: Benchmark Tasks for Continual Graph Learning	Unknown	PDF	N/A
ADBench: Anomaly Detection Benchmark	Unknown	PDF	N/A
A new dataset for multilingual keyphrase generation	Unknown	PDF	N/A
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems	Unknown	PDF	N/A
DDXPlus: A New Dataset For Automatic Medical Diagnosis	Unknown	PDF	N/A
Video compression dataset and benchmark of learning-based video-quality metrics	Unknown	PDF	N/A
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning	Unknown	PDF	N/A
MVP-N: A Dataset and Benchmark for Real-World Multi-View Object Classification	Unknown	PDF	N/A
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning	Unknown	PDF	N/A
Dungeons and Data: A Large-Scale NetHack Dataset	Unknown	PDF	N/A
OpenXAI: Towards a Transparent Evaluation of Model Explanations	Unknown	PDF	N/A
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning	Unknown	PDF	N/A
ENS-10: A Dataset For Post-Processing Ensemble Weather Forecasts	Unknown	PDF	N/A
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions	Unknown	PDF	N/A
EPIC-KITCHENS VISOR Benchmark: VIdeo Segmentations and Object Relations	Unknown	PDF	N/A
Multilingual Abusive Comment Detection at Scale for Indic Languages	Unknown	PDF	N/A
MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control	Unknown	PDF	N/A
FLAIR: Federated Learning Annotated Image Repository	Unknown	PDF	N/A
StrokeRehab: A Benchmark Dataset for Sub-second Action Identification	Unknown	PDF	N/A
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning	Unknown	PDF	N/A
Optimizing Relevance Maps of Vision Transformers Improves Robustness	Unknown	PDF	N/A
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits	Unknown	PDF	N/A
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations	Unknown	PDF	N/A
Towards Improving Faithfulness in Abstractive Summarization	Unknown	PDF	N/A
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects	Unknown	PDF	N/A
Implicit Neural Representations with Levels-of-Experts	Unknown	PDF	N/A
Uplifting Bandits	Unknown	PDF	N/A
Infinite-Fidelity Coregionalization for Physical Simulation	Unknown	PDF	N/A
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning	Unknown	PDF	N/A
On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias	Unknown	PDF	N/A
On Infinite Separations Between Simple and Optimal Mechanisms	Unknown	PDF	N/A
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction	Unknown	PDF	N/A
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation	Unknown	PDF	N/A
Automatic differentiation of nonsmooth iterative algorithms	Unknown	PDF	N/A
Efficient coding, channel capacity, and the emergence of retinal mosaics	Unknown	PDF	N/A
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities	Unknown	PDF	N/A
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis	Unknown	PDF	N/A
Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning	Unknown	PDF	N/A
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering	Unknown	PDF	N/A
Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret	Unknown	PDF	N/A
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media	Unknown	PDF	N/A
Globally Gated Deep Linear Networks	Unknown	PDF	N/A
Graph Scattering beyond Wavelet Shackles	Unknown	PDF	N/A
Aligning individual brains with fused unbalanced Gromov Wasserstein	Unknown	PDF	N/A
SoftPatch: Unsupervised Anomaly Detection with Noisy Data	Unknown	PDF	N/A
Kernel Interpolation with Sparse Grids	Unknown	PDF	N/A
Ask4Help: Learning to Leverage an Expert for Embodied Tasks	Unknown	PDF	N/A
TUSK: Task-Agnostic Unsupervised Keypoints	Unknown	PDF	N/A
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations	Unknown	PDF	N/A
Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence	Unknown	PDF	N/A
Posted Pricing and Dynamic Prior-independent Mechanisms with Value Maximizers	Unknown	PDF	N/A
Training stochastic stabilized supralinear networks by dynamics-neutral growth	Unknown	PDF	N/A
Chefs' Random Tables: Non-Trigonometric Random Features	Unknown	PDF	N/A
NeuForm: Adaptive Overfitting for Neural Shape Editing	Unknown	PDF	N/A
STaR: Bootstrapping Reasoning With Reasoning	Unknown	PDF	N/A
A Causal Analysis of Harm	Unknown	PDF	N/A
Network change point localisation under local differential privacy	Unknown	PDF	N/A
DISCO: Adversarial Defense with Local Implicit Functions	Unknown	PDF	N/A
Does GNN Pretraining Help Molecular Representation?	Unknown	PDF	N/A
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning	Unknown	PDF	N/A
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images	Unknown	PDF	N/A
Re-Analyze Gauss: Bounds for Private Matrix Approximation via Dyson Brownian Motion	Unknown	PDF	N/A
Locating and Editing Factual Associations in GPT	Unknown	PDF	N/A
Faster Linear Algebra for Distance Matrices	Unknown	PDF	N/A
Causal Inference with Non-IID Data using Linear Graphical Models	Unknown	PDF	N/A
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods	Unknown	PDF	N/A
ALMA: Hierarchical Learning for Composite Multi-Agent Tasks	Unknown	PDF	N/A
Diversified Recommendations for Agents with Adaptive Preferences	Unknown	PDF	N/A
Optimizing Data Collection for Machine Learning	Unknown	PDF	N/A
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web	Unknown	PDF	N/A
CoNT: Contrastive Neural Text Generation	Unknown	PDF	N/A
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline	Unknown	PDF	N/A
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients	Unknown	PDF	N/A
Towards Practical Control of Singular Values of Convolutional Layers	Unknown	PDF	N/A
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds	Unknown	PDF	N/A
Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments	Unknown	PDF	N/A
A Contrastive Framework for Neural Text Generation	Unknown	PDF	N/A
AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos	Unknown	PDF	N/A
Two-Stream Network for Sign Language Recognition and Translation	Unknown	PDF	N/A
Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks	Unknown	PDF	N/A
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment	Unknown	PDF	N/A
Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge	Unknown	PDF	N/A
Learning Bipartite Graphs: Heavy Tails and Multiple Components	Unknown	PDF	N/A
Vision Transformers provably learn spatial structure	Unknown	PDF	N/A
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising	Unknown	PDF	N/A
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation	Unknown	PDF	N/A
Hand-Object Interaction Image Generation	Unknown	PDF	N/A
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity	Unknown	PDF	N/A
Bridging the Gap: Unifying the Training and Evaluation of Neural Network Binary Classifiers	Unknown	PDF	N/A
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs	Unknown	PDF	N/A
Efficient and Modular Implicit Differentiation	Unknown	PDF	N/A
NeuroSchedule: A Novel Effective GNN-based Scheduling Method for High-level Synthesis	Unknown	PDF	N/A
Recursive Reinforcement Learning	Unknown	PDF	N/A
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure	Unknown	PDF	N/A
Distribution-Informed Neural Networks for Domain Adaptation Regression	Unknown	PDF	N/A
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity	Unknown	PDF	N/A
Exploiting Semantic Relations for Glass Surface Detection	Unknown	PDF	N/A
Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions	Unknown	PDF	N/A
Function Classes for Identifiable Nonlinear Independent Component Analysis	Unknown	PDF	N/A
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models	Unknown	PDF	N/A
Recovering Private Text in Federated Learning of Language Models	Unknown	PDF	N/A
Contrastive Language-Image Pre-Training with Knowledge Graphs	Unknown	PDF	N/A
Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay	Unknown	PDF	N/A
Disentangling the Predictive Variance of Deep Ensembles through the Neural Tangent Kernel	Unknown	PDF	N/A
Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability	Unknown	PDF	N/A
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members	Unknown	PDF	N/A
Diversity vs. Recognizability: Human-like generalization in one-shot generative models	Unknown	PDF	N/A
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems	Unknown	PDF	N/A
DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes	Unknown	PDF	N/A
Emergence of Hierarchical Layers in a Single Sheet of Self-Organizing Spiking Neurons	Unknown	PDF	N/A
Adapting to Online Label Shift with Provable Guarantees	Unknown	PDF	N/A
Offline Multi-Agent Reinforcement Learning with Knowledge Distillation	Unknown	PDF	N/A
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy	Unknown	PDF	N/A
Large-Scale Differentiable Causal Discovery of Factor Graphs	Unknown	PDF	N/A
Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs	Unknown	PDF	N/A
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension	Unknown	PDF	N/A
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game	Unknown	PDF	N/A
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms	Unknown	PDF	N/A
Data Augmentation MCMC for Bayesian Inference from Privatized Data	Unknown	PDF	N/A
Dynamic Tensor Product Regression	Unknown	PDF	N/A
Introspective Learning : A Two-Stage approach for Inference in Neural Networks	Unknown	PDF	N/A
Score-Based Diffusion meets Annealed Importance Sampling	Unknown	PDF	N/A
Local Identifiability of Deep ReLU Neural Networks: the Theory	Unknown	PDF	N/A
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning	Unknown	PDF	N/A
A Continuous Time Framework for Discrete Denoising Models	Unknown	PDF	N/A
Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks	Unknown	PDF	N/A
Infinite Recommendation Networks: A Data-Centric Approach	Unknown	PDF	N/A
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs	Unknown	PDF	N/A
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers	Unknown	PDF	N/A
RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling	Unknown	PDF	N/A
VICRegL: Self-Supervised Learning of Local Visual Features	Unknown	PDF	N/A
Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis	Unknown	PDF	N/A
Generalization for multiclass classification with overparameterized linear models	Unknown	PDF	N/A
Okapi: Generalising Better by Making Statistical Matches Match	Unknown	PDF	N/A
Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference	Unknown	PDF	N/A
Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design	Unknown	PDF	N/A
Adversarial Reprogramming Revisited	Unknown	PDF	N/A
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs	Unknown	PDF	N/A
Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning	Unknown	PDF	N/A
Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning	Unknown	PDF	N/A
The Pitfalls of Regularization in Off-Policy TD Learning	Unknown	PDF	N/A
OmniVL: One Foundation Model for Image-Language and Video-Language Tasks	Unknown	PDF	N/A
CCCP is Frank-Wolfe in disguise	Unknown	PDF	N/A
Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding	Unknown	PDF	N/A
Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning	Unknown	PDF	N/A
Adam Can Converge Without Any Modification On Update Rules	Unknown	PDF	N/A
A Consistent and Differentiable Lp Canonical Calibration Error Estimator	Unknown	PDF	N/A
Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards	Unknown	PDF	N/A
Detection and Localization of Changes in Conditional Distributions	Unknown	PDF	N/A
TransTab: Learning Transferable Tabular Transformers Across Tables	Unknown	PDF	N/A
Spatial Mixture-of-Experts	Unknown	PDF	N/A
TransBoost: Improving the Best ImageNet Performance using Deep Transduction	Unknown	PDF	N/A
A Multilabel Classification Framework for Approximate Nearest Neighbor Search	Unknown	PDF	N/A
On Efficient Online Imitation Learning via Classification	Unknown	PDF	N/A
Inherently Explainable Reinforcement Learning in Natural Language	Unknown	PDF	N/A
Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality	Unknown	PDF	N/A
Incrementality Bidding via Reinforcement Learning under Mixed and Delayed Rewards	Unknown	PDF	N/A
$k$-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension	Unknown	PDF	N/A
A Direct Approximation of AIXI Using Logical State Abstractions	Unknown	PDF	N/A
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture	Unknown	PDF	N/A
Towards Efficient Post-training Quantization of Pre-trained Language Models	Unknown	PDF	N/A
A Unified Analysis of Federated Learning with Arbitrary Client Participation	Unknown	PDF	N/A
Self-supervised surround-view depth estimation with volumetric feature fusion	Unknown	PDF	N/A
Robust Bayesian Regression via Hard Thresholding	Unknown	PDF	N/A
On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood	Unknown	PDF	N/A
The price of unfairness in linear bandits with biased feedback	Unknown	PDF	N/A
Cooperative Distribution Alignment via JSD Upper Bound	Unknown	PDF	N/A
Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis	Unknown	PDF	N/A
Dataset Inference for Self-Supervised Models	Unknown	PDF	N/A
Active Learning Through a Covering Lens	Unknown	PDF	N/A
Adversarially Robust Learning: A Generic Minimax Optimal Learner and Characterization	Unknown	PDF	N/A
Wavelet Score-Based Generative Modeling	Unknown	PDF	N/A
Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent	Unknown	PDF	N/A
The Curse of Unrolling: Rate of Differentiating Through Optimization	Unknown	PDF	N/A
ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers	Unknown	PDF	N/A
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection	Unknown	PDF	N/A
Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization	Unknown	PDF	N/A
What You See is What You Classify: Black Box Attributions	Unknown	PDF	N/A
A Closer Look at Prototype Classifier for Few-shot Image Classification	Unknown	PDF	N/A
Graph Reordering for Cache-Efficient Near Neighbor Search	Unknown	PDF	N/A
Trade-off between Payoff and Model Rewards in Shapley-Fair Collaborative Machine Learning	Unknown	PDF	N/A
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging	Unknown	PDF	N/A
Adaptively Exploiting d-Separators with Causal Bandits	Unknown	PDF	N/A
Generative Neural Articulated Radiance Fields	Unknown	PDF	N/A
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos	Unknown	PDF	N/A
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy	Unknown	PDF	N/A
BagFlip: A Certified Defense Against Data Poisoning	Unknown	PDF	N/A
On the Convergence Theory for Hessian-Free Bilevel Algorithms	Unknown	PDF	N/A
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory	Unknown	PDF	N/A
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound	Unknown	PDF	N/A
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks	Unknown	PDF	N/A
Generalized Variational Inference in Function Spaces: Gaussian Measures meet Bayesian Deep Learning	Unknown	PDF	N/A
Refining Low-Resource Unsupervised Translation by Language Disentanglement of Multilingual Translation Model	Unknown	PDF	N/A
Analyzing Data-Centric Properties for Graph Contrastive Learning	Unknown	PDF	N/A
RényiCL: Contrastive Representation Learning with Skew Rényi Divergence	Unknown	PDF	N/A
Scalable Neural Video Representations with Learnable Positional Features	Unknown	PDF	N/A
Towards Improving Calibration in Object Detection Under Domain Shift	Unknown	PDF	N/A
GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions	Unknown	PDF	N/A
Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization	Unknown	PDF	N/A
Neural Circuit Architectural Priors for Embodied Control	Unknown	PDF	N/A
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP	Unknown	PDF	N/A
Understanding Deep Neural Function Approximation in Reinforcement Learning via $\epsilon$-Greedy Exploration	Unknown	PDF	N/A
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks	Unknown	PDF	N/A
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?	Unknown	PDF	N/A
Stochastic Multiple Target Sampling Gradient Descent	Unknown	PDF	N/A
If Influence Functions are the Answer, Then What is the Question?	Unknown	PDF	N/A
[Re] Replication Study of DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks	Unknown	PDF	N/A
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization	Unknown	PDF	N/A
A composable machine-learning approach for steady-state simulations on high-resolution grids	Unknown	PDF	N/A
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging	Unknown	PDF	N/A
[Re] Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation	Unknown	PDF	N/A
Amortized Projection Optimization for Sliced Wasserstein Generative Models	Unknown	PDF	N/A
Trading Off Resource Budgets For Improved Regret Bounds	Unknown	PDF	N/A
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning	Unknown	PDF	N/A
Matching in Multi-arm Bandit with Collision	Unknown	PDF	N/A
Combinatorial Bandits with Linear Constraints: Beyond Knapsacks and Fairness	Unknown	PDF	N/A
Evaluating Graph Generative Models with Contrastively Learned Features	Unknown	PDF	N/A
Single-pass Streaming Lower Bounds for Multi-armed Bandits Exploration with Instance-sensitive Sample Complexity	Unknown	PDF	N/A
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm	Unknown	PDF	N/A
A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks	Unknown	PDF	N/A
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning	Unknown	PDF	N/A
One-shot Neural Backdoor Erasing via Adversarial Weight Masking	Unknown	PDF	N/A
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation	Unknown	PDF	N/A
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts	Unknown	PDF	N/A
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems	Unknown	PDF	N/A
Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regime	Unknown	PDF	N/A
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics	Unknown	PDF	N/A
Recurrent Memory Transformer	Unknown	PDF	N/A
Unsupervised Learning From Incomplete Measurements for Inverse Problems	Unknown	PDF	N/A
An empirical analysis of compute-optimal large language model training	Unknown	PDF	N/A
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems	Unknown	PDF	N/A
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning	Unknown	PDF	N/A
House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography	Unknown	PDF	N/A
A Unifying Framework for Online Optimization with Long-Term Constraints	Unknown	PDF	N/A
Better Best of Both Worlds Bounds for Bandits with Switching Costs	Unknown	PDF	N/A
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning	Unknown	PDF	N/A
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting	Unknown	PDF	N/A
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression	Unknown	PDF	N/A
Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding	Unknown	PDF	N/A
Variational inference via Wasserstein gradient flows	Unknown	PDF	N/A
Efficient Risk-Averse Reinforcement Learning	Unknown	PDF	N/A
Operator Splitting Value Iteration	Unknown	PDF	N/A
Composite Feature Selection Using Deep Ensembles	Unknown	PDF	N/A
From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent	Unknown	PDF	N/A
Contrastive Adapters for Foundation Model Group Robustness	Unknown	PDF	N/A
Domain Generalization by Learning and Removing Domain-specific Features	Unknown	PDF	N/A
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification	Unknown	PDF	N/A
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions	Unknown	PDF	N/A
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos	Unknown	PDF	N/A
Debiased Self-Training for Semi-Supervised Learning	Unknown	PDF	N/A
Learning Recourse on Instance Environment to Enhance Prediction Accuracy	Unknown	PDF	N/A
Differentially Private Learning with Margin Guarantees	Unknown	PDF	N/A
Provable General Function Class Representation Learning in Multitask Bandits and MDP	Unknown	PDF	N/A
Characterization of Excess Risk for Locally Strongly Convex Population Risk	Unknown	PDF	N/A
Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation	Unknown	PDF	N/A
SNAKE: Shape-aware Neural 3D Keypoint Field	Unknown	PDF	N/A
SIXO: Smoothing Inference with Twisted Objectives	Unknown	PDF	N/A
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network	Unknown	PDF	N/A
Gradient Descent: The Ultimate Optimizer	Unknown	PDF	N/A
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks	Unknown	PDF	N/A
Batch size-invariance for policy optimization	Unknown	PDF	N/A
Distributionally robust weighted k-nearest neighbors	Unknown	PDF	N/A
On the Importance of Gradient Norm in PAC-Bayesian Bounds	Unknown	PDF	N/A
Fair Bayes-Optimal Classifiers Under Predictive Parity	Unknown	PDF	N/A
Analyzing Lottery Ticket Hypothesis from PAC-Bayesian Theory Perspective	Unknown	PDF	N/A
Counterfactual Fairness with Partially Known Causal Graph	Unknown	PDF	N/A
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits	Unknown	PDF	N/A
Efficient identification of informative features in simulation-based inference	Unknown	PDF	N/A
Transform Once: Efficient Operator Learning in Frequency Domain	Unknown	PDF	N/A
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation	Unknown	PDF	N/A
Deep Active Learning by Leveraging Training Dynamics	Unknown	PDF	N/A
Rate-Optimal Online Convex Optimization in Adaptive Linear Control	Unknown	PDF	N/A
SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training	Unknown	PDF	N/A
Understanding Programmatic Weak Supervision via Source-aware Influence Function	Unknown	PDF	N/A
Mind Reader: Reconstructing complex images from brain activities	Unknown	PDF	N/A
A Neural Corpus Indexer for Document Retrieval	Unknown	PDF	N/A
CUP: Critic-Guided Policy Reuse	Unknown	PDF	N/A
Low-Rank Modular Reinforcement Learning via Muscle Synergy	Unknown	PDF	N/A
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing	Unknown	PDF	N/A
Safe Opponent-Exploitation Subgame Refinement	Unknown	PDF	N/A
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning	Unknown	PDF	N/A
A Primer for Neural Arithmetic Logic Modules	Unknown	PDF	N/A
Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization	Unknown	PDF	N/A
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers	Unknown	PDF	N/A
Look More but Care Less in Video Recognition	Unknown	PDF	N/A
Adversarial Task Up-sampling for Meta-learning	Unknown	PDF	N/A
Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis	Unknown	PDF	N/A
Peer Prediction for Learning Agents	Unknown	PDF	N/A
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever	Unknown	PDF	N/A
Interaction Modeling with Multiplex Attention	Unknown	PDF	N/A
Learning to Configure Computer Networks with Neural Algorithmic Reasoning	Unknown	PDF	N/A
Can Adversarial Training Be Manipulated By Non-Robust Features?	Unknown	PDF	N/A
Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification	Unknown	PDF	N/A
MGNNI: Multiscale Graph Neural Networks with Implicit Layers	Unknown	PDF	N/A
Discrete Compositional Representations as an Abstraction for Goal Conditioned Reinforcement Learning	Unknown	PDF	N/A
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation	Unknown	PDF	N/A
Learning Mixed Multinomial Logits with Provable Guarantees	Unknown	PDF	N/A
Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL	Unknown	PDF	N/A
Hilbert Distillation for Cross-Dimensionality Networks	Unknown	PDF	N/A
Recurrent Video Restoration Transformer with Guided Deformable Attention	Unknown	PDF	N/A
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone	Unknown	PDF	N/A
Unified Optimal Transport Framework for Universal Domain Adaptation	Unknown	PDF	N/A
Learning Deep Input-Output Stable Dynamics	Unknown	PDF	N/A
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel	Unknown	PDF	N/A
Neural Topological Ordering for Computation Graphs	Unknown	PDF	N/A
Memory Efficient Continual Learning with Transformers	Unknown	PDF	N/A
Efficient Knowledge Distillation from Model Checkpoints	Unknown	PDF	N/A
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks	Unknown	PDF	N/A
SelecMix: Debiased Learning by Contradicting-pair Sampling	Unknown	PDF	N/A
Coordinate Linear Variance Reduction for Generalized Linear Programming	Unknown	PDF	N/A
Local Latent Space Bayesian Optimization over Structured Inputs	Unknown	PDF	N/A
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization	Unknown	PDF	N/A
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure	Unknown	PDF	N/A
Learning Robust Dynamics through Variational Sparse Gating	Unknown	PDF	N/A
VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement	Unknown	PDF	N/A
A Unified Framework for Deep Symbolic Regression	Unknown	PDF	N/A
[Re] A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space	Unknown	PDF	N/A
Is Sortition Both Representative and Fair?	Unknown	PDF	N/A
All Politics is Local: Redistricting via Local Fairness	Unknown	PDF	N/A
Learning Interface Conditions in Domain Decomposition Solvers	Unknown	PDF	N/A
Off-Policy Evaluation for Action-Dependent Non-stationary Environments	Unknown	PDF	N/A
Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits	Unknown	PDF	N/A
Causal Discovery in Linear Latent Variable Models Subject to Measurement Error	Unknown	PDF	N/A
Human-AI Collaborative Bayesian Optimisation	Unknown	PDF	N/A
SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training	Unknown	PDF	N/A
OOD Link Prediction Generalization Capabilities of Message-Passing GNNs in Larger Test Graphs	Unknown	PDF	N/A
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems	Unknown	PDF	N/A
GAR: Generalized Autoregression for Multi-Fidelity Fusion	Unknown	PDF	N/A
Learning Representations via a Robust Behavioral Metric for Deep Reinforcement Learning	Unknown	PDF	N/A
Environment Diversification with Multi-head Neural Network for Invariant Learning	Unknown	PDF	N/A
MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification	Unknown	PDF	N/A
Collaborative Learning by Detecting Collaboration Partners	Unknown	PDF	N/A
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection	Unknown	PDF	N/A
Set-based Meta-Interpolation for Few-Task Meta-Learning	Unknown	PDF	N/A
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold	Unknown	PDF	N/A
Error Analysis of Tensor-Train Cross Approximation	Unknown	PDF	N/A
Trading off Utility, Informativeness, and Complexity in Emergent Communication	Unknown	PDF	N/A
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights	Unknown	PDF	N/A
Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation	Unknown	PDF	N/A
A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate	Unknown	PDF	N/A
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization	Unknown	PDF	N/A
Private Set Generation with Discriminative Information	Unknown	PDF	N/A
Robust Semi-Supervised Learning when Not All Classes have Labels	Unknown	PDF	N/A
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization	Unknown	PDF	N/A
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach	Unknown	PDF	N/A
GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks	Unknown	PDF	N/A
Finding and Listing Front-door Adjustment Sets	Unknown	PDF	N/A
Bridging the Gap from Asymmetry Tricks to Decorrelation Principles in Non-contrastive Self-supervised Learning	Unknown	PDF	N/A
Logical Credal Networks	Unknown	PDF	N/A
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality	Unknown	PDF	N/A
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance	Unknown	PDF	N/A
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits	Unknown	PDF	N/A
Rethinking the compositionality of point clouds through regularization in the hyperbolic space	Unknown	PDF	N/A
Identifiability of deep generative models without auxiliary information	Unknown	PDF	N/A
Sub-exponential time Sum-of-Squares lower bounds for Principal Components Analysis	Unknown	PDF	N/A
Robust Anytime Learning of Markov Decision Processes	Unknown	PDF	N/A
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics	Unknown	PDF	N/A
Simultaneous Missing Value Imputation and Structure Learning with Groups	Unknown	PDF	N/A
Provably Efficient Model-Free Constrained RL with Linear Function Approximation	Unknown	PDF	N/A
Private Estimation with Public Data	Unknown	PDF	N/A
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack	Unknown	PDF	N/A
Multi-Fidelity Best-Arm Identification	Unknown	PDF	N/A
Off-Policy Evaluation with Deficient Support Using Side Information	Unknown	PDF	N/A
Challenging Common Assumptions in Convex Reinforcement Learning	Unknown	PDF	N/A
Decision Trees with Short Explainable Rules	Unknown	PDF	N/A
List-Decodable Sparse Mean Estimation	Unknown	PDF	N/A
Stochastic Adaptive Activation Function	Unknown	PDF	N/A
Rethinking Knowledge Graph Evaluation Under the Open-World Assumption	Unknown	PDF	N/A
A Theoretical Framework for Inference Learning	Unknown	PDF	N/A
OPEN: Orthogonal Propagation with Ego-Network Modeling	Unknown	PDF	N/A
On the Frequency-bias of Coordinate-MLPs	Unknown	PDF	N/A
Generalization Properties of NAS under Activation and Skip Connection Search	Unknown	PDF	N/A
Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)	Unknown	PDF	N/A
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study	Unknown	PDF	N/A
A Rotated Hyperbolic Wrapped Normal Distribution for Hierarchical Representation Learning	Unknown	PDF	N/A
Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields	Unknown	PDF	N/A
A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks	Unknown	PDF	N/A
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP	Unknown	PDF	N/A
Communication Efficient Distributed Learning for Kernelized Contextual Bandits	Unknown	PDF	N/A
Communication Efficient Federated Learning for Generalized Linear Bandits	Unknown	PDF	N/A
Versatile Multi-stage Graph Neural Network for Circuit Representation	Unknown	PDF	N/A
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics	Unknown	PDF	N/A
Understanding Square Loss in Training Overparametrized Neural Network Classifiers	Unknown	PDF	N/A
The Gyro-Structure of Some Matrix Manifolds	Unknown	PDF	N/A
Multi-view Subspace Clustering on Topological Manifold	Unknown	PDF	N/A
HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks	Unknown	PDF	N/A
S$^3$-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint	Unknown	PDF	N/A
PaCo: Parameter-Compositional Multi-task Reinforcement Learning	Unknown	PDF	N/A
IALE: Imitating Active Learner Ensembles	Unknown	PDF	N/A
Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance	Unknown	PDF	N/A
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning	Unknown	PDF	N/A
Momentum Aggregation for Private Non-convex ERM	Unknown	PDF	N/A
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification	Unknown	PDF	N/A
Differentially Private Online-to-batch for Smooth Losses	Unknown	PDF	N/A
Distributionally Robust Optimization with Data Geometry	Unknown	PDF	N/A
Decentralized Training of Foundation Models in Heterogeneous Environments	Unknown	PDF	N/A
On the convergence of policy gradient methods to Nash equilibria in general stochastic games	Unknown	PDF	N/A
Sample Complexity of Learning Heuristic Functions for Greedy-Best-First and A* Search	Unknown	PDF	N/A
Rank Diminishing in Deep Neural Networks	Unknown	PDF	N/A
Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation	Unknown	PDF	N/A
Lethal Dose Conjecture on Data Poisoning	Unknown	PDF	N/A
Learning Substructure Invariance for Out-of-Distribution Molecular Representations	Unknown	PDF	N/A
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos	Unknown	PDF	N/A
Understanding the Evolution of Linear Regions in Deep Reinforcement Learning	Unknown	PDF	N/A
RecursiveMix: Mixed Learning with History	Unknown	PDF	N/A
DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs	Unknown	PDF	N/A
Fairness Reprogramming	Unknown	PDF	N/A
S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning	Unknown	PDF	N/A
Coded Residual Transform for Generalizable Deep Metric Learning	Unknown	PDF	N/A
Embodied Scene-aware Human Pose Estimation	Unknown	PDF	N/A
Generative Status Estimation and Information Decoupling for Image Rain Removal	Unknown	PDF	N/A
Subsidiary Prototype Alignment for Universal Domain Adaptation	Unknown	PDF	N/A
Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences	Unknown	PDF	N/A
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning	Unknown	PDF	N/A
EcoFormer: Energy-Saving Attention with Linear Complexity	Unknown	PDF	N/A
Machine Learning on Graphs: A Model and Comprehensive Taxonomy	Unknown	PDF	N/A
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization	Unknown	PDF	N/A
Self-Supervised Visual Representation Learning with Semantic Grouping	Unknown	PDF	N/A
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning	Unknown	PDF	N/A
Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models	Unknown	PDF	N/A
Active Labeling: Streaming Stochastic Gradients	Unknown	PDF	N/A
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation	Unknown	PDF	N/A
Polynomial Neural Fields for Subband Decomposition and Manipulation	Unknown	PDF	N/A
Visual Concepts Tokenization	Unknown	PDF	N/A
Phase Transition from Clean Training to Adversarial Training	Unknown	PDF	N/A
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces	Unknown	PDF	N/A
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation	Unknown	PDF	N/A
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks	Unknown	PDF	N/A
Cross-Image Context for Single Image Inpainting	Unknown	PDF	N/A
TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation	Unknown	PDF	N/A
Is Out-of-Distribution Detection Learnable?	Unknown	PDF	N/A
Masked Autoencoders As Spatiotemporal Learners	Unknown	PDF	N/A
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork	Unknown	PDF	N/A
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds	Unknown	PDF	N/A
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection	Unknown	PDF	N/A
Optimistic Tree Searches for Combinatorial Black-Box Optimization	Unknown	PDF	N/A
Tensor Wheel Decomposition and Its Tensor Completion Application	Unknown	PDF	N/A
PALBERT: Teaching ALBERT to Ponder	Unknown	PDF	N/A
Towards Efficient 3D Object Detection with Knowledge Distillation	Unknown	PDF	N/A
Towards Lightweight Black-Box Attack Against Deep Neural Networks	Unknown	PDF	N/A
HumanLiker: A Human-like Object Detector to Model the Manual Labeling Process	Unknown	PDF	N/A
Learn what matters: cross-domain imitation learning with task-relevant embeddings	Unknown	PDF	N/A
Whitening Convergence Rate of Coupling-based Normalizing Flows	Unknown	PDF	N/A
Hierarchical Normalization for Robust Monocular Depth Estimation	Unknown	PDF	N/A
Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns	Unknown	PDF	N/A
On the Strong Correlation Between Model Invariance and Generalization	Unknown	PDF	N/A
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer	Unknown	PDF	N/A
Fully Sparse 3D Object Detection	Unknown	PDF	N/A
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching	Unknown	PDF	N/A
A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning	Unknown	PDF	N/A
Towards Robust Blind Face Restoration with Codebook Lookup Transformer	Unknown	PDF	N/A
Improved Fine-Tuning by Better Leveraging Pre-Training Data	Unknown	PDF	N/A
TotalSelfScan: Learning Full-body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies	Unknown	PDF	N/A
Cross Aggregation Transformer for Image Restoration	Unknown	PDF	N/A
Behavior Transformers: Cloning $k$ modes with one stone	Unknown	PDF	N/A
What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective	Unknown	PDF	N/A
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection	Unknown	PDF	N/A
Discrete-Convex-Analysis-Based Framework for Warm-Starting Algorithms with Predictions	Unknown	PDF	N/A
Divert More Attention to Vision-Language Tracking	Unknown	PDF	N/A
Trajectory Inference via Mean-field Langevin in Path Space	Unknown	PDF	N/A
ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsis	Unknown	PDF	N/A
A2: Efficient Automated Attacker for Boosting Adversarial Training	Unknown	PDF	N/A
PerfectDou: Dominating DouDizhu with Perfect Information Distillation	Unknown	PDF	N/A
MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds	Unknown	PDF	N/A
Towards Versatile Embodied Navigation	Unknown	PDF	N/A
Product Ranking for Revenue Maximization with Multiple Purchases	Unknown	PDF	N/A
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks	Unknown	PDF	N/A
ResT V2: Simpler, Faster and Stronger	Unknown	PDF	N/A
In the Eye of the Beholder: Robust Prediction with Causal User Modeling	Unknown	PDF	N/A
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification	Unknown	PDF	N/A
Multi-modal Grouping Network for Weakly-Supervised Audio-Visual Video Parsing	Unknown	PDF	N/A
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation	Unknown	PDF	N/A
Panchromatic and Multispectral Image Fusion via Alternating Reverse Filtering Network	Unknown	PDF	N/A
Pay attention to your loss : understanding misconceptions about Lipschitz neural networks	Unknown	PDF	N/A
End-to-end Symbolic Regression with Transformers	Unknown	PDF	N/A
SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion	Unknown	PDF	N/A
Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models	Unknown	PDF	N/A
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods	Unknown	PDF	N/A
Stochastic Window Transformer for Image Restoration	Unknown	PDF	N/A
A Closer Look at Weakly-Supervised Audio-Visual Source Localization	Unknown	PDF	N/A
Semi-Discrete Normalizing Flows through Differentiable Tessellation	Unknown	PDF	N/A
Blackbox Attacks via Surrogate Ensemble Search	Unknown	PDF	N/A
Saliency-Aware Neural Architecture Search	Unknown	PDF	N/A
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation	Unknown	PDF	N/A
Learning Best Combination for Efficient N:M Sparsity	Unknown	PDF	N/A
Predicting Label Distribution from Multi-label Ranking	Unknown	PDF	N/A
Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees	Unknown	PDF	N/A
Semantic Diffusion Network for Semantic Segmentation	Unknown	PDF	N/A
Regret Bounds for Information-Directed Reinforcement Learning	Unknown	PDF	N/A
A Spectral Approach to Item Response Theory	Unknown	PDF	N/A
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units	Unknown	PDF	N/A
AutoLink: Self-supervised Learning of Human Skeletons and Object Outlines by Linking Keypoints	Unknown	PDF	N/A
Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games	Unknown	PDF	N/A
Parameter-Efficient Masking Networks	Unknown	PDF	N/A
Learning Distinct and Representative Modes for Image Captioning	Unknown	PDF	N/A
Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images	Unknown	PDF	N/A
HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes	Unknown	PDF	N/A
VCT: A Video Compression Transformer	Unknown	PDF	N/A
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting	Unknown	PDF	N/A
VITA: Video Instance Segmentation via Object Token Association	Unknown	PDF	N/A
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective	Unknown	PDF	N/A
Geometry-aware Two-scale PIFu Representation for Human Reconstruction	Unknown	PDF	N/A
Causally motivated multi-shortcut identification and removal	Unknown	PDF	N/A
SegViT: Semantic Segmentation with Plain Vision Transformers	Unknown	PDF	N/A
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?	Unknown	PDF	N/A
Masked Autoencoders that Listen	Unknown	PDF	N/A
Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant	Unknown	PDF	N/A
Video-based Human-Object Interaction Detection from Tubelet Tokens	Unknown	PDF	N/A
Learning Equivariant Segmentation with Instance-Unique Querying	Unknown	PDF	N/A
Enhanced Latent Space Blind Model for Real Image Denoising via Alternative Optimization	Unknown	PDF	N/A
High-dimensional Additive Gaussian Processes under Monotonicity Constraints	Unknown	PDF	N/A
Learning Generalizable Part-based Feature Representation for 3D Point Clouds	Unknown	PDF	N/A
Constants of motion network	Unknown	PDF	N/A
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm	Unknown	PDF	N/A
Rethinking Alignment in Video Super-Resolution Transformers	Unknown	PDF	N/A
Robust Testing in High-Dimensional Sparse Models	Unknown	PDF	N/A
INRAS: Implicit Neural Representation for Audio Scenes	Unknown	PDF	N/A
BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling	Unknown	PDF	N/A
DropCov: A Simple yet Effective Method for Improving Deep Architectures	Unknown	PDF	N/A
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures	Unknown	PDF	N/A
Monocular Dynamic View Synthesis: A Reality Check	Unknown	PDF	N/A
A Mixture Of Surprises for Unsupervised Reinforcement Learning	Unknown	PDF	N/A
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query	Unknown	PDF	N/A
Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning	Unknown	PDF	N/A
Misspecified Phase Retrieval with Generative Priors	Unknown	PDF	N/A
Watermarking for Out-of-distribution Detection	Unknown	PDF	N/A
Error Correction Code Transformer	Unknown	PDF	N/A
Maximum Class Separation as Inductive Bias in One Matrix	Unknown	PDF	N/A
Sequencer: Deep LSTM for Image Classification	Unknown	PDF	N/A
Self-Supervised Learning via Maximum Entropy Coding	Unknown	PDF	N/A
Giga-scale Kernel Matrix-Vector Multiplication on GPU	Unknown	PDF	N/A
Scalable Infomin Learning	Unknown	PDF	N/A
Multi-dataset Training of Transformers for Robust Action Recognition	Unknown	PDF	N/A
ZARTS: On Zero-order Optimization for Neural Architecture Search	Unknown	PDF	N/A
Online Training Through Time for Spiking Neural Networks	Unknown	PDF	N/A
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization	Unknown	PDF	N/A
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting	Unknown	PDF	N/A
Towards Theoretically Inspired Neural Initialization Optimization	Unknown	PDF	N/A
Vision GNN: An Image is Worth Graph of Nodes	Unknown	PDF	N/A
Rotation-Equivariant Conditional Spherical Neural Fields for Learning a Natural Illumination Prior	Unknown	PDF	N/A
Supported Policy Optimization for Offline Reinforcement Learning	Unknown	PDF	N/A
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control	Unknown	PDF	N/A
Increasing Confidence in Adversarial Robustness Evaluations	Unknown	PDF	N/A
Generalization Bounds for Estimating Causal Effects of Continuous Treatments	Unknown	PDF	N/A
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning	Unknown	PDF	N/A
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds	Unknown	PDF	N/A
Why Do Artificially Generated Data Help Adversarial Robustness	Unknown	PDF	N/A
Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness	Unknown	PDF	N/A
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources	Unknown	PDF	N/A
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma	Unknown	PDF	N/A
PointTAD: Multi-Label Temporal Action Detection with Learnable Query Points	Unknown	PDF	N/A
On the Generalizability and Predictability of Recommender Systems	Unknown	PDF	N/A
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks	Unknown	PDF	N/A
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models	Unknown	PDF	N/A
Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks	Unknown	PDF	N/A
Physically-Based Face Rendering for NIR-VIS Face Recognition	Unknown	PDF	N/A
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks	Unknown	PDF	N/A
Few-Shot Continual Active Learning by a Robot	Unknown	PDF	N/A
MultiScan: Scalable RGBD scanning for 3D environments with articulated objects	Unknown	PDF	N/A
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing	Unknown	PDF	N/A
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport	Unknown	PDF	N/A
Biologically Inspired Dynamic Thresholds for Spiking Neural Networks	Unknown	PDF	N/A
Don't Roll the Dice, Ask Twice: The Two-Query Distortion of Matching Problems and Beyond	Unknown	PDF	N/A
A Unified Model for Multi-class Anomaly Detection	Unknown	PDF	N/A
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms	Unknown	PDF	N/A
SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization	Unknown	PDF	N/A
Masked Generative Adversarial Networks are Data-Efficient Generation Learners	Unknown	PDF	N/A
Training Spiking Neural Networks with Event-driven Backpropagation	Unknown	PDF	N/A
MCMAE: Masked Convolution Meets Masked Autoencoders	Unknown	PDF	N/A
Learning Physical Dynamics with Subequivariant Graph Neural Networks	Unknown	PDF	N/A
Online PAC-Bayes Learning	Unknown	PDF	N/A
Implicit Warping for Animation with Image Sets	Unknown	PDF	N/A
Rethinking Resolution in the Context of Efficient Video Recognition	Unknown	PDF	N/A
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning	Unknown	PDF	N/A
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior	Unknown	PDF	N/A
Natural gradient enables fast sampling in spiking neural networks	Unknown	PDF	N/A
MultiGuard: Provably Robust Multi-label Classification against Adversarial Examples	Unknown	PDF	N/A
Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations	Unknown	PDF	N/A
Robust Calibration with Multi-domain Temperature Scaling	Unknown	PDF	N/A
Exploration via Planning for Information about the Optimal Trajectory	Unknown	PDF	N/A
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models	Unknown	PDF	N/A
BiT: Robustly Binarized Multi-distilled Transformer	Unknown	PDF	N/A
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits	Unknown	PDF	N/A
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning	Unknown	PDF	N/A
On-Device Training Under 256KB Memory	Unknown	PDF	N/A
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers	Unknown	PDF	N/A
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning	Unknown	PDF	N/A
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning	Unknown	PDF	N/A
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks	Unknown	PDF	N/A
Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera	Unknown	PDF	N/A
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models	Unknown	PDF	N/A
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding	Unknown	PDF	N/A
GLIPv2: Unifying Localization and Vision-Language Understanding	Unknown	PDF	N/A
A Unified Diversity Measure for Multiagent Reinforcement Learning	Unknown	PDF	N/A
Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning	Unknown	PDF	N/A
Learning to Accelerate Partial Differential Equations via Latent Global Evolution	Unknown	PDF	N/A
Active Learning for Multiple Target Models	Unknown	PDF	N/A
Alignment-guided Temporal Attention for Video Action Recognition	Unknown	PDF	N/A
Open-Ended Reinforcement Learning with Neural Reward Functions	Unknown	PDF	N/A
On Margins and Generalisation for Voting Classifiers	Unknown	PDF	N/A
Contrastive Neural Ratio Estimation	Unknown	PDF	N/A
Mildly Conservative Q-Learning for Offline Reinforcement Learning	Unknown	PDF	N/A
Self-Supervised Image Restoration with Blurry and Noisy Pairs	Unknown	PDF	N/A
Recommender Forest for Efficient Retrieval	Unknown	PDF	N/A
Retrieval-Augmented Diffusion Models	Unknown	PDF	N/A
PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories	Unknown	PDF	N/A
Generalized Laplacian Eigenmaps	Unknown	PDF	N/A
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling	Unknown	PDF	N/A
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning	Unknown	PDF	N/A
Random Sharpness-Aware Minimization	Unknown	PDF	N/A
Generalized One-shot Domain Adaptation of Generative Adversarial Networks	Unknown	PDF	N/A
SCONE: Surface Coverage Optimization in Unknown Environments by Volumetric Integration	Unknown	PDF	N/A
A Quantitative Geometric Approach to Neural-Network Smoothness	Unknown	PDF	N/A
Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations	Unknown	PDF	N/A
Parametrically Retargetable Decision-Makers Tend To Seek Power	Unknown	PDF	N/A
Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion	Unknown	PDF	N/A
Differentially Private Model Compression	Unknown	PDF	N/A
Is a Modular Architecture Enough?	Unknown	PDF	N/A
Learning General World Models in a Handful of Reward-Free Deployments	Unknown	PDF	N/A
Revisiting Heterophily For Graph Neural Networks	Unknown	PDF	N/A
Recipe for a General, Powerful, Scalable Graph Transformer	Unknown	PDF	N/A
CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations	Unknown	PDF	N/A
GhostNetV2: Enhance Cheap Operation with Long-Range Attention	Unknown	PDF	N/A
Elucidating the Design Space of Diffusion-Based Generative Models	Unknown	PDF	N/A
Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation	Unknown	PDF	N/A
Robust Models are less Over-Confident	Unknown	PDF	N/A
OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training	Unknown	PDF	N/A
KSD Aggregated Goodness-of-fit Test	Unknown	PDF	N/A
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning	Unknown	PDF	N/A
A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP	Unknown	PDF	N/A
ZIN: When and How to Learn Invariance Without Environment Partition?	Unknown	PDF	N/A
Enhance the Visual Representation via Discrete Adversarial Training	Unknown	PDF	N/A
Frank-Wolfe-based Algorithms for Approximating Tyler's M-estimator	Unknown	PDF	N/A
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions	Unknown	PDF	N/A
Efficient and Effective Optimal Transport-Based Biclustering	Unknown	PDF	N/A
SageMix: Saliency-Guided Mixup for Point Clouds	Unknown	PDF	N/A
Heatmap Distribution Matching for Human Pose Estimation	Unknown	PDF	N/A
Autoregressive Search Engines: Generating Substrings as Document Identifiers	Unknown	PDF	N/A
Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM	Unknown	PDF	N/A
Deconfounded Representation Similarity for Comparison of Neural Networks	Unknown	PDF	N/A
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective	Unknown	PDF	N/A
Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms	Unknown	PDF	N/A
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?	Unknown	PDF	N/A
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition	Unknown	PDF	N/A
Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE	Unknown	PDF	N/A
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators	Unknown	PDF	N/A
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization	Unknown	PDF	N/A
Unsupervised Cross-Task Generalization via Retrieval Augmentation	Unknown	PDF	N/A
coVariance Neural Networks	Unknown	PDF	N/A
On the inability of Gaussian process regression to optimally learn compositional functions	Unknown	PDF	N/A
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees	Unknown	PDF	N/A
When to Update Your Model: Constrained Model-based Reinforcement Learning	Unknown	PDF	N/A
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization	Unknown	PDF	N/A
Constrained Langevin Algorithms with L-mixing External Random Variables	Unknown	PDF	N/A
Practical Adversarial Multivalid Conformal Prediction	Unknown	PDF	N/A
Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources	Unknown	PDF	N/A
Deep Generalized Schrödinger Bridge	Unknown	PDF	N/A
Deep Generative Model for Periodic Graphs	Unknown	PDF	N/A
Optimal Comparator Adaptive Online Learning with Switching Cost	Unknown	PDF	N/A
Enhanced Bilevel Optimization via Bregman Distance	Unknown	PDF	N/A
Learning State-Aware Visual Representations from Audible Interactions	Unknown	PDF	N/A
Near-Optimal Multi-Agent Learning for Safe Coverage Control	Unknown	PDF	N/A
Probabilistic Missing Value Imputation for Mixed Categorical and Ordered Data	Unknown	PDF	N/A
Exploration via Elliptical Episodic Bonuses	Unknown	PDF	N/A
GAUDI: A Neural Architect for Immersive 3D Scene Generation	Unknown	PDF	N/A
Periodic Graph Transformers for Crystal Material Property Prediction	Unknown	PDF	N/A
Parallel Tempering With a Variational Reference	Unknown	PDF	N/A
On the consistent estimation of optimal Receiver Operating Characteristic (ROC) curve	Unknown	PDF	N/A
NS3: Neuro-symbolic Semantic Code Search	Unknown	PDF	N/A
A Deep Learning Dataloader with Shared Data Preparation	Unknown	PDF	N/A
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies	Unknown	PDF	N/A
Improving Variational Autoencoders with Density Gap-based Regularization	Unknown	PDF	N/A
Fused Orthogonal Alternating Least Squares for Tensor Clustering	Unknown	PDF	N/A
Representing Spatial Trajectories as Distributions	Unknown	PDF	N/A
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief	Unknown	PDF	N/A
CLEAR: Generative Counterfactual Explanations on Graphs	Unknown	PDF	N/A
Wasserstein $K$-means for clustering probability distributions	Unknown	PDF	N/A
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators	Unknown	PDF	N/A
Cost-efficient Gaussian tensor network embeddings for tensor-structured inputs	Unknown	PDF	N/A
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models	Unknown	PDF	N/A
Green Hierarchical Vision Transformer for Masked Image Modeling	Unknown	PDF	N/A
Beyond the Best: Distribution Functional Estimation in Infinite-Armed Bandits	Unknown	PDF	N/A
An Investigation into Whitening Loss for Self-supervised Learning	Unknown	PDF	N/A
Fixed-Distance Hamiltonian Monte Carlo	Unknown	PDF	N/A
SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning	Unknown	PDF	N/A
Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset	Unknown	PDF	N/A
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems	Unknown	PDF	N/A
Amortized Mixing Coupling Processes for Clustering	Unknown	PDF	N/A
HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions	Unknown	PDF	N/A
Weakly supervised causal representation learning	Unknown	PDF	N/A
Less-forgetting Multi-lingual Fine-tuning	Unknown	PDF	N/A
Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond	Unknown	PDF	N/A
Rethinking Variational Inference for Probabilistic Programs with Stochastic Support	Unknown	PDF	N/A
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions	Unknown	PDF	N/A
Cross-modal Learning for Image-Guided Point Cloud Shape Completion	Unknown	PDF	N/A
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels	Unknown	PDF	N/A
FNeVR: Neural Volume Rendering for Face Animation	Unknown	PDF	N/A
Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres	Unknown	PDF	N/A
Bidirectional Learning for Offline Infinite-width Model-based Optimization	Unknown	PDF	N/A
TREC: Transient Redundancy Elimination-based Convolution	Unknown	PDF	N/A
DivBO: Diversity-aware CASH for Ensemble Learning	Unknown	PDF	N/A
Forecasting Human Trajectory from Scene History	Unknown	PDF	N/A
Wasserstein Logistic Regression with Mixed Features	Unknown	PDF	N/A
Contextual Bandits with Knapsacks for a Conversion Model	Unknown	PDF	N/A
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings	Unknown	PDF	N/A
Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks	Unknown	PDF	N/A
ELASTIC: Numerical Reasoning with Adaptive Symbolic Compiler	Unknown	PDF	N/A
Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells	Unknown	PDF	N/A
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs	Unknown	PDF	N/A
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach	Unknown	PDF	N/A
Contrastive Learning as Goal-Conditioned Reinforcement Learning	Unknown	PDF	N/A
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space	Unknown	PDF	N/A
When are Local Queries Useful for Robust Learning?	Unknown	PDF	N/A
Shield Decentralization for Safe Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Extracting computational mechanisms from neural data using low-rank RNNs	Unknown	PDF	N/A
Data Distributional Properties Drive Emergent In-Context Learning in Transformers	Unknown	PDF	N/A
A Quadrature Rule combining Control Variates and Adaptive Importance Sampling	Unknown	PDF	N/A
Dynamic Fair Division with Partial Information	Unknown	PDF	N/A
Improved Imaging by Invex Regularizers with Global Optima Guarantees	Unknown	PDF	N/A
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients	Unknown	PDF	N/A
Change-point Detection for Sparse and Dense Functional Data in General Dimensions	Unknown	PDF	N/A
Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games	Unknown	PDF	N/A
Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis	Unknown	PDF	N/A
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation	Unknown	PDF	N/A
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems	Unknown	PDF	N/A
Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)	Unknown	PDF	N/A
Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation	Unknown	PDF	N/A
Online Deep Equilibrium Learning for Regularization by Denoising	Unknown	PDF	N/A
When does return-conditioned supervised learning work for offline reinforcement learning?	Unknown	PDF	N/A
Inductive Logical Query Answering in Knowledge Graphs	Unknown	PDF	N/A
The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning	Unknown	PDF	N/A
Biological Learning of Irreducible Representations of Commuting Transformations	Unknown	PDF	N/A
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?	Unknown	PDF	N/A
MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation	Unknown	PDF	N/A
Bayesian Clustering of Neural Spiking Activity Using a Mixture of Dynamic Poisson Factor Analyzers	Unknown	PDF	N/A
Non-convex online learning via algorithmic equivalence	Unknown	PDF	N/A
Decomposing NeRF for Editing via Feature Field Distillation	Unknown	PDF	N/A
Approximate Value Equivalence	Unknown	PDF	N/A
Neur2SP: Neural Two-Stage Stochastic Programming	Unknown	PDF	N/A
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models	Unknown	PDF	N/A
SparCL: Sparse Continual Learning on the Edge	Unknown	PDF	N/A
Visual Prompting via Image Inpainting	Unknown	PDF	N/A
Test-Time Training with Masked Autoencoders	Unknown	PDF	N/A
Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning	Unknown	PDF	N/A
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization	Unknown	PDF	N/A
BILCO: An Efficient Algorithm for Joint Alignment of Time Series	Unknown	PDF	N/A
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks	Unknown	PDF	N/A
Falsification before Extrapolation in Causal Effect Estimation	Unknown	PDF	N/A
LION: Latent Point Diffusion Models for 3D Shape Generation	Unknown	PDF	N/A
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction	Unknown	PDF	N/A
Implicit Regularization or Implicit Conditioning? Exact Risk Trajectories of SGD in High Dimensions	Unknown	PDF	N/A
Sharpness-Aware Training for Free	Unknown	PDF	N/A
CHIMLE: Conditional Hierarchical IMLE for Multimodal Conditional Image Synthesis	Unknown	PDF	N/A
3DILG: Irregular Latent Grids for 3D Generative Modeling	Unknown	PDF	N/A
Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors	Unknown	PDF	N/A
Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition	Unknown	PDF	N/A
Towards Learning Universal Hyperparameter Optimizers with Transformers	Unknown	PDF	N/A
OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression	Unknown	PDF	N/A
ComGAN: Unsupervised Disentanglement and Segmentation via Image Composition	Unknown	PDF	N/A
Non-Linear Coordination Graphs	Unknown	PDF	N/A
Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning	Unknown	PDF	N/A
Fast Distance Oracles for Any Symmetric Norm	Unknown	PDF	N/A
Low-rank Optimal Transport: Approximation, Statistics and Debiasing	Unknown	PDF	N/A
Iterative Scene Graph Generation	Unknown	PDF	N/A
Eliciting Thinking Hierarchy without a Prior	Unknown	PDF	N/A
Learning Robust Rule Representations for Abstract Reasoning via Internal Inferences	Unknown	PDF	N/A
Multi-layer State Evolution Under Random Convolutional Design	Unknown	PDF	N/A
Latency-aware Spatial-wise Dynamic Networks	Unknown	PDF	N/A
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation	Unknown	PDF	N/A
Relation-Constrained Decoding for Text Generation	Unknown	PDF	N/A
Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition	Unknown	PDF	N/A
Could Giant Pre-trained Image Models Extract Universal Representations?	Unknown	PDF	N/A
IM-Loss: Information Maximization Loss for Spiking Neural Networks	Unknown	PDF	N/A
TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers	Unknown	PDF	N/A
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds	Unknown	PDF	N/A
Verification and search algorithms for causal DAGs	Unknown	PDF	N/A
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning	Unknown	PDF	N/A
Where to Pay Attention in Sparse Training for Feature Selection?	Unknown	PDF	N/A
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training	Unknown	PDF	N/A
Understanding the Failure of Batch Normalization for Transformers in NLP	Unknown	PDF	N/A
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost	Unknown	PDF	N/A
Theoretically Provable Spiking Neural Networks	Unknown	PDF	N/A
Deep Combinatorial Aggregation	Unknown	PDF	N/A
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling	Unknown	PDF	N/A
Self-Supervised Learning with an Information Maximization Criterion	Unknown	PDF	N/A
Improved Utility Analysis of Private CountSketch	Unknown	PDF	N/A
A Classification of $G$-invariant Shallow Neural Networks	Unknown	PDF	N/A
Module-Aware Optimization for Auxiliary Learning	Unknown	PDF	N/A
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering	Unknown	PDF	N/A
Riemannian Score-Based Generative Modelling	Unknown	PDF	N/A
Out-of-Distribution Detection via Conditional Kernel Independence Model	Unknown	PDF	N/A
Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization	Unknown	PDF	N/A
Policy Gradient With Serial Markov Chain Reasoning	Unknown	PDF	N/A
Estimating graphical models for count data with applications to single-cell gene network	Unknown	PDF	N/A
Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator	Unknown	PDF	N/A
Egocentric Video-Language Pretraining	Unknown	PDF	N/A
Efficient Submodular Optimization under Noise: Local Search is Robust	Unknown	PDF	N/A
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning	Unknown	PDF	N/A
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations	Unknown	PDF	N/A
Does Momentum Change the Implicit Regularization on Separable Data?	Unknown	PDF	N/A
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning	Unknown	PDF	N/A
Exact Solutions of a Deep Linear Network	Unknown	PDF	N/A
ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning	Unknown	PDF	N/A
Masked Prediction: A Parameter Identifiability View	Unknown	PDF	N/A
Direct Advantage Estimation	Unknown	PDF	N/A
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest	Unknown	PDF	N/A
AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars	Unknown	PDF	N/A
Instance-based Learning for Knowledge Base Completion	Unknown	PDF	N/A
Efficient and Effective Augmentation Strategy for Adversarial Training	Unknown	PDF	N/A
u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer to Unlabeled Modality	Unknown	PDF	N/A
First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces	Unknown	PDF	N/A
GENIE: Higher-Order Denoising Diffusion Solvers	Unknown	PDF	N/A
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy	Unknown	PDF	N/A
Structured Recognition for Generative Models with Explaining Away	Unknown	PDF	N/A
UniCLIP: Unified Framework for Contrastive Language-Image Pre-training	Unknown	PDF	N/A
InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model	Unknown	PDF	N/A
Local-Global MCMC kernels: the best of both worlds	Unknown	PDF	N/A
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference	Unknown	PDF	N/A
Doubly Robust Counterfactual Classification	Unknown	PDF	N/A
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game	Unknown	PDF	N/A
Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions	Unknown	PDF	N/A
SKFlow: Learning Optical Flow with Super Kernels	Unknown	PDF	N/A
Non-stationary Bandits with Knapsacks	Unknown	PDF	N/A
Weighted Mutual Learning with Diversity-Driven Model Compression	Unknown	PDF	N/A
Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework	Unknown	PDF	N/A
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions	Unknown	PDF	N/A
Procedural Image Programs for Representation Learning	Unknown	PDF	N/A
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation	Unknown	PDF	N/A
High-Order Pooling for Graph Neural Networks with Tensor Decomposition	Unknown	PDF	N/A
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning	Unknown	PDF	N/A
SALSA: Attacking Lattice Cryptography with Transformers	Unknown	PDF	N/A
Class-Aware Adversarial Transformers for Medical Image Segmentation	Unknown	PDF	N/A
A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences	Unknown	PDF	N/A
You Only Live Once: Single-Life Reinforcement Learning	Unknown	PDF	N/A
Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization	Unknown	PDF	N/A
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet	Unknown	PDF	N/A
Learning from Stochastically Revealed Preference	Unknown	PDF	N/A
A Best-of-Both-Worlds Algorithm for Bandits with Delayed Feedback	Unknown	PDF	N/A
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications	Unknown	PDF	N/A
Algorithms that Approximate Data Removal: New Results and Limitations	Unknown	PDF	N/A
Annihilation of Spurious Minima in Two-Layer ReLU Networks	Unknown	PDF	N/A
Unsupervised Image-to-Image Translation with Density Changing Regularization	Unknown	PDF	N/A
Reproducibility in Optimization: Theoretical Framework and Limits	Unknown	PDF	N/A
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering	Unknown	PDF	N/A
Systematic improvement of neural network quantum states using Lanczos	Unknown	PDF	N/A
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss	Unknown	PDF	N/A
Diagonal State Spaces are as Effective as Structured State Spaces	Unknown	PDF	N/A
Why neural networks find simple solutions: The many regularizers of geometric complexity	Unknown	PDF	N/A
Zero-Shot 3D Drug Design by Sketching and Generating	Unknown	PDF	N/A
Adaptive Oracle-Efficient Online Learning	Unknown	PDF	N/A
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints	Unknown	PDF	N/A
Efficient Active Learning with Abstention	Unknown	PDF	N/A
Unsupervised Learning of Shape Programs with Repeatable Implicit Parts	Unknown	PDF	N/A
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models	Unknown	PDF	N/A
Controllable Text Generation with Neurally-Decomposed Oracle	Unknown	PDF	N/A
A Fast Post-Training Pruning Framework for Transformers	Unknown	PDF	N/A
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder	Unknown	PDF	N/A
Improved Feature Distillation via Projector Ensemble	Unknown	PDF	N/A
Neuron with Steady Response Leads to Better Generalization	Unknown	PDF	N/A
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently	Unknown	PDF	N/A
Self-Organized Group for Cooperative Multi-agent Reinforcement Learning	Unknown	PDF	N/A
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction	Unknown	PDF	N/A
Learning Manifold Dimensions with Conditional Variational Autoencoders	Unknown	PDF	N/A
Discovering Design Concepts for CAD Sketches	Unknown	PDF	N/A
Reconstruction on Trees and Low-Degree Polynomials	Unknown	PDF	N/A
Test Time Adaptation via Conjugate Pseudo-labels	Unknown	PDF	N/A
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning	Unknown	PDF	N/A
GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech	Unknown	PDF	N/A
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation	Unknown	PDF	N/A
FreGAN: Exploiting Frequency Components for Training GANs under Limited Data	Unknown	PDF	N/A
FasterRisk: Fast and Accurate Interpretable Risk Scores	Unknown	PDF	N/A
When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning	Unknown	PDF	N/A
Generalization Bounds for Stochastic Gradient Descent via Localized $\varepsilon$-Covers	Unknown	PDF	N/A
Symbolic Distillation for Learned TCP Congestion Control	Unknown	PDF	N/A
Proximal Learning With Opponent-Learning Awareness	Unknown	PDF	N/A
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning	Unknown	PDF	N/A
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer	Unknown	PDF	N/A
Provable Benefit of Multitask Representation Learning in Reinforcement Learning	Unknown	PDF	N/A
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback	Unknown	PDF	N/A
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective	Unknown	PDF	N/A
Globally Convergent Policy Search for Output Estimation	Unknown	PDF	N/A
To update or not to update? Neurons at equilibrium in deep models	Unknown	PDF	N/A
Grow and Merge: A Unified Framework for Continuous Categories Discovery	Unknown	PDF	N/A
OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds	Unknown	PDF	N/A
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning	Unknown	PDF	N/A
Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching	Unknown	PDF	N/A
Autoinverse: Uncertainty Aware Inversion of Neural Networks	Unknown	PDF	N/A
Bootstrapped Transformer for Offline Reinforcement Learning	Unknown	PDF	N/A
Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination	Unknown	PDF	N/A
Fair Wrapping for Black-box Predictions	Unknown	PDF	N/A
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks	Unknown	PDF	N/A
Generic bounds on the approximation error for physics-informed (and) operator learning	Unknown	PDF	N/A
Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records	Unknown	PDF	N/A
Most Activation Functions Can Win the Lottery Without Excessive Depth	Unknown	PDF	N/A
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training	Unknown	PDF	N/A
Truncated Matrix Power Iteration for Differentiable DAG Learning	Unknown	PDF	N/A
Robust Rent Division	Unknown	PDF	N/A
Temporally Disentangled Representation Learning	Unknown	PDF	N/A
Improving Transformer with an Admixture of Attention Heads	Unknown	PDF	N/A
Para-CFlows: $C^k$-universal diffeomorphism approximators as superior neural surrogates	Unknown	PDF	N/A
TA-GATES: An Encoding Scheme for Neural Network Architectures	Unknown	PDF	N/A
Gradient Methods Provably Converge to Non-Robust Networks	Unknown	PDF	N/A
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited	Unknown	PDF	N/A
Mask-based Latent Reconstruction for Reinforcement Learning	Unknown	PDF	N/A
MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning	Unknown	PDF	N/A
SwinTrack: A Simple and Strong Baseline for Transformer Tracking	Unknown	PDF	N/A
Self-supervised Amodal Video Object Segmentation	Unknown	PDF	N/A
Improving Generative Adversarial Networks via Adversarial Learning in Latent Space	Unknown	PDF	N/A
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization	Unknown	PDF	N/A
First is Better Than Last for Language Data Influence	Unknown	PDF	N/A
Molecule Generation by Principal Subgraph Mining and Assembling	Unknown	PDF	N/A
Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery	Unknown	PDF	N/A
Equivariant Graph Hierarchy-Based Neural Networks	Unknown	PDF	N/A
Semi-infinitely Constrained Markov Decision Processes	Unknown	PDF	N/A
One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement	Unknown	PDF	N/A
Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor	Unknown	PDF	N/A
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Top Two Algorithms Revisited	Unknown	PDF	N/A
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum	Unknown	PDF	N/A
A Probabilistic Graph Coupling View of Dimension Reduction	Unknown	PDF	N/A
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks	Unknown	PDF	N/A
LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing	Unknown	PDF	N/A
MExMI: Pool-based Active Model Extraction Crossover Membership Inference	Unknown	PDF	N/A
S3GC: Scalable Self-Supervised Graph Clustering	Unknown	PDF	N/A
Parameter-free Dynamic Graph Embedding for Link Prediction	Unknown	PDF	N/A
Federated Submodel Optimization for Hot and Cold Data Features	Unknown	PDF	N/A
Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?	Unknown	PDF	N/A
Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning	Unknown	PDF	N/A
On Margin Maximization in Linear and ReLU Networks	Unknown	PDF	N/A
Optimal Binary Classification Beyond Accuracy	Unknown	PDF	N/A
Active Learning of Classifiers with Label and Seed Queries	Unknown	PDF	N/A
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition	Unknown	PDF	N/A
FedPop: A Bayesian Approach for Personalised Federated Learning	Unknown	PDF	N/A
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs	Unknown	PDF	N/A
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning	Unknown	PDF	N/A
Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving	Unknown	PDF	N/A
Large Language Models are Zero-Shot Reasoners	Unknown	PDF	N/A
Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks	Unknown	PDF	N/A
Amplifying Membership Exposure via Data Poisoning	Unknown	PDF	N/A
Robust Graph Structure Learning via Multiple Statistical Tests	Unknown	PDF	N/A
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks	Unknown	PDF	N/A
Learning to Constrain Policy Optimization with Virtual Trust Region	Unknown	PDF	N/A
Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation	Unknown	PDF	N/A
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification	Unknown	PDF	N/A
Efficient Architecture Search for Diverse Tasks	Unknown	PDF	N/A
GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy	Unknown	PDF	N/A
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem	Unknown	PDF	N/A
Distributed Learning of Conditional Quantiles in the Reproducing Kernel Hilbert Space	Unknown	PDF	N/A
The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design	Unknown	PDF	N/A
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions	Unknown	PDF	N/A
Revisiting Injective Attacks on Recommender Systems	Unknown	PDF	N/A
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond	Unknown	PDF	N/A
Learning to Generate Inversion-Resistant Model Explanations	Unknown	PDF	N/A
Semi-Supervised Generative Models for Multiagent Trajectories	Unknown	PDF	N/A
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation	Unknown	PDF	N/A
Distributionally Robust Optimization via Ball Oracle Acceleration	Unknown	PDF	N/A
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning	Unknown	PDF	N/A
Domain Adaptation under Open Set Label Shift	Unknown	PDF	N/A
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization	Unknown	PDF	N/A
NeMF: Neural Motion Fields for Kinematic Animation	Unknown	PDF	N/A
On Robust Multiclass Learnability	Unknown	PDF	N/A
Moment Distributionally Robust Tree Structured Prediction	Unknown	PDF	N/A
Alleviating "Posterior Collapse'' in Deep Topic Models via Policy Gradient	Unknown	PDF	N/A
Grounding Aleatoric Uncertainty for Unsupervised Environment Design	Unknown	PDF	N/A
Conditional Meta-Learning of Linear Representations	Unknown	PDF	N/A
AZ-whiteness test: a test for signal uncorrelation on spatio-temporal graphs	Unknown	PDF	N/A
Sample-Then-Optimize Batch Neural Thompson Sampling	Unknown	PDF	N/A
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning	Unknown	PDF	N/A
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination	Unknown	PDF	N/A
EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations	Unknown	PDF	N/A
Blessing of Depth in Linear Regression: Deeper Models Have Flatter Landscape Around the True Solution	Unknown	PDF	N/A
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient	Unknown	PDF	N/A
Star Temporal Classification: Sequence Modeling with Partially Labeled Data	Unknown	PDF	N/A
Neural Stochastic Control	Unknown	PDF	N/A
Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor	Unknown	PDF	N/A
Adaptive Sampling for Discovery	Unknown	PDF	N/A
Diverse Weight Averaging for Out-of-Distribution Generalization	Unknown	PDF	N/A
Counterfactual Temporal Point Processes	Unknown	PDF	N/A
Sparse Winning Tickets are Data-Efficient Image Recognizers	Unknown	PDF	N/A
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs	Unknown	PDF	N/A
Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT	Unknown	PDF	N/A
Approximation with CNNs in Sobolev Space: with Applications to Classification	Unknown	PDF	N/A
Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding	Unknown	PDF	N/A
A Unified Convergence Theorem for Stochastic Optimization Methods	Unknown	PDF	N/A
On Embeddings for Numerical Features in Tabular Deep Learning	Unknown	PDF	N/A
Near-Optimal Collaborative Learning in Bandits	Unknown	PDF	N/A
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces	Unknown	PDF	N/A
Iron: Private Inference on Transformers	Unknown	PDF	N/A
Towards Disentangling Information Paths with Coded ResNeXt	Unknown	PDF	N/A
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model	Unknown	PDF	N/A
Flamingo: a Visual Language Model for Few-Shot Learning	Unknown	PDF	N/A
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification	Unknown	PDF	N/A
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization	Unknown	PDF	N/A
Torsional Diffusion for Molecular Conformer Generation	Unknown	PDF	N/A
Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update	Unknown	PDF	N/A
Approximate Euclidean lengths and distances beyond Johnson-Lindenstrauss	Unknown	PDF	N/A
A consistently adaptive trust-region method	Unknown	PDF	N/A
Order-Invariant Cardinality Estimators Are Differentially Private	Unknown	PDF	N/A
Spectral Bias in Practice: The Role of Function Frequency in Generalization	Unknown	PDF	N/A
Task-level Differentially Private Meta Learning	Unknown	PDF	N/A
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems	Unknown	PDF	N/A
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting	Unknown	PDF	N/A
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data	Unknown	PDF	N/A
Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs	Unknown	PDF	N/A
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization	Unknown	PDF	N/A
Log-Polar Space Convolution Layers	Unknown	PDF	N/A
Efficient Training of Low-Curvature Neural Networks	Unknown	PDF	N/A
Self-Supervised Fair Representation Learning without Demographics	Unknown	PDF	N/A
Nonlinear MCMC for Bayesian Machine Learning	Unknown	PDF	N/A
Scale-invariant Learning by Physics Inversion	Unknown	PDF	N/A
On Non-Linear operators for Geometric Deep Learning	Unknown	PDF	N/A
A Geometric Perspective on Variational Autoencoders	Unknown	PDF	N/A
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation	Unknown	PDF	N/A
Iterative Structural Inference of Directed Graphs	Unknown	PDF	N/A
PDSketch: Integrated Domain Programming, Learning, and Planning	Unknown	PDF	N/A
Off-Policy Evaluation with Policy-Dependent Optimization Response	Unknown	PDF	N/A
Interpolation and Regularization for Causal Learning	Unknown	PDF	N/A
Confidence-based Reliable Learning under Dual Noises	Unknown	PDF	N/A
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior	Unknown	PDF	N/A
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing	Unknown	PDF	N/A
Black-Box Generalization: Stability of Zeroth-Order Learning	Unknown	PDF	N/A
Label-Aware Global Consistency for Multi-Label Learning with Single Positive Labels	Unknown	PDF	N/A
Emergent Communication: Generalization and Overfitting in Lewis Games	Unknown	PDF	N/A
Latent Planning via Expansive Tree Search	Unknown	PDF	N/A
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback	Unknown	PDF	N/A
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer	Unknown	PDF	N/A
The Phenomenon of Policy Churn	Unknown	PDF	N/A
Optimal-er Auctions through Attention	Unknown	PDF	N/A
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space	Unknown	PDF	N/A
Defending Against Adversarial Attacks via Neural Dynamic System	Unknown	PDF	N/A
Association Graph Learning for Multi-Task Classification with Category Shifts	Unknown	PDF	N/A
Weakly Supervised Representation Learning with Sparse Perturbations	Unknown	PDF	N/A
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models	Unknown	PDF	N/A
Learning Superpoint Graph Cut for 3D Instance Segmentation	Unknown	PDF	N/A
First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization	Unknown	PDF	N/A
CyCLIP: Cyclic Contrastive Language-Image Pretraining	Unknown	PDF	N/A
Amortized Inference for Heterogeneous Reconstruction in Cryo-EM	Unknown	PDF	N/A
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics	Unknown	PDF	N/A
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent	Unknown	PDF	N/A
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF	Unknown	PDF	N/A
An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits	Unknown	PDF	N/A
Perfect Sampling from Pairwise Comparisons	Unknown	PDF	N/A
Value Function Decomposition for Iterative Design of Reinforcement Learning Agents	Unknown	PDF	N/A
Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations	Unknown	PDF	N/A
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming	Unknown	PDF	N/A
Conformal Off-Policy Prediction in Contextual Bandits	Unknown	PDF	N/A
Constrained Update Projection Approach to Safe Policy Optimization	Unknown	PDF	N/A
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression	Unknown	PDF	N/A
A Fourier Approach to Mixture Learning	Unknown	PDF	N/A
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward	Unknown	PDF	N/A
Domain Generalization without Excess Empirical Risk	Unknown	PDF	N/A
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning	Unknown	PDF	N/A
Optimal Transport of Classifiers to Fairness	Unknown	PDF	N/A
FedSR: A Simple and Effective Domain Generalization Method for Federated Learning	Unknown	PDF	N/A
Using Partial Monotonicity in Submodular Maximization	Unknown	PDF	N/A
When Do Flat Minima Optimizers Work?	Unknown	PDF	N/A
Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching	Unknown	PDF	N/A
Large-scale Optimization of Partial AUC in a Range of False Positive Rates	Unknown	PDF	N/A
Learning in Congestion Games with Bandit Feedback	Unknown	PDF	N/A
TreeMoCo: Contrastive Neuron Morphology Representation Learning	Unknown	PDF	N/A
Near-Optimal Sample Complexity Bounds for Constrained MDPs	Unknown	PDF	N/A
Fairness Transferability Subject to Bounded Distribution Shift	Unknown	PDF	N/A
The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound	Unknown	PDF	N/A
WeightedSHAP: analyzing and improving Shapley based feature attributions	Unknown	PDF	N/A
How to talk so AI will learn: Instructions, descriptions, and autonomy	Unknown	PDF	N/A
Improved Algorithms for Neural Active Learning	Unknown	PDF	N/A
Global Convergence of Direct Policy Search for State-Feedback $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential	Unknown	PDF	N/A
Nonlinear Sufficient Dimension Reduction with a Stochastic Neural Network	Unknown	PDF	N/A
Bayesian inference via sparse Hamiltonian flows	Unknown	PDF	N/A
On Batch Teaching with Sample Complexity Bounded by VCD	Unknown	PDF	N/A
AVLEN: Audio-Visual-Language Embodied Navigation in 3D Environments	Unknown	PDF	N/A
Model-based Lifelong Reinforcement Learning with Bayesian Exploration	Unknown	PDF	N/A
projUNN: efficient method for training deep networks with unitary matrices	Unknown	PDF	N/A
Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge	Unknown	PDF	N/A
KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation	Unknown	PDF	N/A
An Information-Theoretic Framework for Deep Learning	Unknown	PDF	N/A
ORIENT: Submodular Mutual Information Measures for Data Subset Selection under Distribution Shift	Unknown	PDF	N/A
Insights into Pre-training via Simpler Synthetic Tasks	Unknown	PDF	N/A
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation	Unknown	PDF	N/A
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions	Unknown	PDF	N/A
Density-driven Regularization for Out-of-distribution Detection	Unknown	PDF	N/A
Rapid Model Architecture Adaption for Meta-Learning	Unknown	PDF	N/A
Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach	Unknown	PDF	N/A
Hyperbolic Embedding Inference for Structured Multi-Label Prediction	Unknown	PDF	N/A
AutoMTL: A Programming Framework for Automating Efficient Multi-Task Learning	Unknown	PDF	N/A
Wavelet Feature Maps Compression for Image-to-Image CNNs	Unknown	PDF	N/A
CoPur: Certifiably Robust Collaborative Inference via Feature Purification	Unknown	PDF	N/A
Interventions, Where and How? Experimental Design for Causal Models at Scale	Unknown	PDF	N/A
Efficient Non-Parametric Optimizer Search for Diverse Tasks	Unknown	PDF	N/A
Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers	Unknown	PDF	N/A
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis	Unknown	PDF	N/A
Scaling Multimodal Pre-Training via Cross-Modality Gradient Harmonization	Unknown	PDF	N/A
A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization	Unknown	PDF	N/A
The Privacy Onion Effect: Memorization is Relative	Unknown	PDF	N/A
Recursive Reasoning in Minimax Games: A Level $k$ Gradient Play Method	Unknown	PDF	N/A
Deep Ensembles Work, But Are They Necessary?	Unknown	PDF	N/A
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes	Unknown	PDF	N/A
Variational Model Perturbation for Source-Free Domain Adaptation	Unknown	PDF	N/A
Generative multitask learning mitigates target-causing confounding	Unknown	PDF	N/A
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer	Unknown	PDF	N/A
Acceleration in Distributed Sparse Regression	Unknown	PDF	N/A
Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium	Unknown	PDF	N/A
Repairing Neural Networks by Leaving the Right Past Behind	Unknown	PDF	N/A
[Re] Privacy-preserving collaborative learning with automatic transformation search	Unknown	PDF	N/A
Sequence Model Imitation Learning with Unobserved Contexts	Unknown	PDF	N/A
GULP: a prediction-based metric between representations	Unknown	PDF	N/A
Efficient Frameworks for Generalized Low-Rank Matrix Bandit Problems	Unknown	PDF	N/A
Composition Theorems for Interactive Differential Privacy	Unknown	PDF	N/A
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games	Unknown	PDF	N/A
Robust Generalized Method of Moments: A Finite Sample Viewpoint	Unknown	PDF	N/A
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness	Unknown	PDF	N/A
Regret Bounds for Risk-Sensitive Reinforcement Learning	Unknown	PDF	N/A
Semi-supervised Active Linear Regression	Unknown	PDF	N/A
Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings	Unknown	PDF	N/A
Riemannian Diffusion Models	Unknown	PDF	N/A
Towards Safe Reinforcement Learning with a Safety Editor Policy	Unknown	PDF	N/A
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach	Unknown	PDF	N/A
The Implicit Delta Method	Unknown	PDF	N/A
Bellman Residual Orthogonalization for Offline Reinforcement Learning	Unknown	PDF	N/A
Meta-Learning Dynamics Forecasting Using Task Inference	Unknown	PDF	N/A
On Scrambling Phenomena for Randomly Initialized Recurrent Networks	Unknown	PDF	N/A
Data-Efficient Augmentation for Training Neural Networks	Unknown	PDF	N/A
Beyond black box densities: Parameter learning for the deviated components	Unknown	PDF	N/A
Robust Learning against Relational Adversaries	Unknown	PDF	N/A
Policy Optimization for Markov Games: Unified Framework and Faster Convergence	Unknown	PDF	N/A
Continuously Tempered PDMP samplers	Unknown	PDF	N/A
Uncalibrated Models Can Improve Human-AI Collaboration	Unknown	PDF	N/A
Few-Shot Non-Parametric Learning with Deep Latent Variable Model	Unknown	PDF	N/A
Emergent Graphical Conventions in a Visual Communication Game	Unknown	PDF	N/A
Chain of Thought Imitation with Procedure Cloning	Unknown	PDF	N/A
Conformalized Fairness via Quantile Regression	Unknown	PDF	N/A
Improving Self-Supervised Learning by Characterizing Idealized Representations	Unknown	PDF	N/A
Learning Options via Compression	Unknown	PDF	N/A
Rapidly Mixing Multiple-try Metropolis Algorithms for Model Selection Problems	Unknown	PDF	N/A
Understanding Hyperdimensional Computing for Parallel Single-Pass Learning	Unknown	PDF	N/A
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization	Unknown	PDF	N/A
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion	Unknown	PDF	N/A
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty	Unknown	PDF	N/A
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity	Unknown	PDF	N/A
Active Learning Polynomial Threshold Functions	Unknown	PDF	N/A
Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions	Unknown	PDF	N/A
Signal Propagation in Transformers: Theoretical Perspectives and the Role of Rank Collapse	Unknown	PDF	N/A
An Analysis of Ensemble Sampling	Unknown	PDF	N/A
Towards Understanding the Condensation of Neural Networks at Initial Training	Unknown	PDF	N/A
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting	Unknown	PDF	N/A
Optimal Scaling for Locally Balanced Proposals in Discrete Spaces	Unknown	PDF	N/A
End-to-end Algorithm Synthesis with Recurrent Networks: Extrapolation without Overthinking	Unknown	PDF	N/A
Domain Adaptation meets Individual Fairness. And they get along.	Unknown	PDF	N/A
Free Probability for predicting the performance of feed-forward fully connected neural networks	Unknown	PDF	N/A
Conformal Prediction with Temporal Quantile Adjustments	Unknown	PDF	N/A
Using natural language and program abstractions to instill human inductive biases in machines	Unknown	PDF	N/A
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning	Unknown	PDF	N/A
Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints	Unknown	PDF	N/A
Polynomial time guarantees for the Burer-Monteiro method	Unknown	PDF	N/A
Scalable design of Error-Correcting Output Codes using Discrete Optimization with Graph Coloring	Unknown	PDF	N/A
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds	Unknown	PDF	N/A
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization	Unknown	PDF	N/A
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos	Unknown	PDF	N/A
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization	Unknown	PDF	N/A
Physics-Informed Implicit Representations of Equilibrium Network Flows	Unknown	PDF	N/A
Learning Generalized Policy Automata for Relational Stochastic Shortest Path Problems	Unknown	PDF	N/A
Simplified Graph Convolution with Heterophily	Unknown	PDF	N/A
DMAP: a Distributed Morphological Attention Policy for learning to locomote with a changing body	Unknown	PDF	N/A
Byzantine-tolerant federated Gaussian process regression for streaming data	Unknown	PDF	N/A
Distributionally Adaptive Meta Reinforcement Learning	Unknown	PDF	N/A
Submodular Maximization in Clean Linear Time	Unknown	PDF	N/A
Amortized Proximal Optimization	Unknown	PDF	N/A
On Learning Fairness and Accuracy on Multiple Subgroups	Unknown	PDF	N/A
HUMUS-Net: Hybrid Unrolled Multi-scale Network Architecture for Accelerated MRI Reconstruction	Unknown	PDF	N/A
On the Symmetries of Deep Learning Models and their Internal Representations	Unknown	PDF	N/A
Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees	Unknown	PDF	N/A
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits	Unknown	PDF	N/A
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal	Unknown	PDF	N/A
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem	Unknown	PDF	N/A
In What Ways Are Deep Neural Networks Invariant and How Should We Measure This?	Unknown	PDF	N/A
Faster and Scalable Algorithms for Densest Subgraph and Decomposition	Unknown	PDF	N/A
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification	Unknown	PDF	N/A
ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection	Unknown	PDF	N/A
Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity	Unknown	PDF	N/A
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings	Unknown	PDF	N/A
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models	Unknown	PDF	N/A
A General Framework for Auditing Differentially Private Machine Learning	Unknown	PDF	N/A
Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification	Unknown	PDF	N/A
Pruning’s Effect on Generalization Through the Lens of Training and Regularization	Unknown	PDF	N/A
Kernel similarity matching with Hebbian networks	Unknown	PDF	N/A
QC-StyleGAN - Quality Controllable Image Generation and Manipulation	Unknown	PDF	N/A
Human-AI Shared Control via Policy Dissection	Unknown	PDF	N/A
Label-invariant Augmentation for Semi-Supervised Graph Classification	Unknown	PDF	N/A
Preservation of the Global Knowledge by Not-True Distillation in Federated Learning	Unknown	PDF	N/A
Using Embeddings for Causal Estimation of Peer Influence in Social Networks	Unknown	PDF	N/A
A Unifying Framework of Off-Policy General Value Function Evaluation	Unknown	PDF	N/A
TaSIL: Taylor Series Imitation Learning	Unknown	PDF	N/A
Asymptotic Behaviors of Projected Stochastic Approximation: A Jump Diffusion Perspective	Unknown	PDF	N/A
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely?	Unknown	PDF	N/A
LISA: Learning Interpretable Skill Abstractions from Language	Unknown	PDF	N/A
NSNet: A General Neural Probabilistic Framework for Satisfiability Problems	Unknown	PDF	N/A
Model Preserving Compression for Neural Networks	Unknown	PDF	N/A
Effects of Data Geometry in Early Deep Learning	Unknown	PDF	N/A
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model	Unknown	PDF	N/A
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization	Unknown	PDF	N/A
Pre-Trained Model Reusability Evaluation for Small-Data Transfer Learning	Unknown	PDF	N/A
Graph Few-shot Learning with Task-specific Structures	Unknown	PDF	N/A
Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression	Unknown	PDF	N/A
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again	Unknown	PDF	N/A
Faster Deep Reinforcement Learning with Slower Online Network	Unknown	PDF	N/A
An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem	Unknown	PDF	N/A
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer	Unknown	PDF	N/A
Distributed Distributionally Robust Optimization with Non-Convex Objectives	Unknown	PDF	N/A
Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis	Unknown	PDF	N/A
Merging Models with Fisher-Weighted Averaging	Unknown	PDF	N/A
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation	Unknown	PDF	N/A
Private Graph All-Pairwise-Shortest-Path Distance Release with Improved Error Rate	Unknown	PDF	N/A
A Theory of PAC Learnability under Transformation Invariances	Unknown	PDF	N/A
Global Convergence of Federated Learning for Mixed Regression	Unknown	PDF	N/A
Segmenting Moving Objects via an Object-Centric Layered Representation	Unknown	PDF	N/A
Invariance Learning based on Label Hierarchy	Unknown	PDF	N/A
Online Algorithms for the Santa Claus Problem	Unknown	PDF	N/A
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach	Unknown	PDF	N/A
When are Offline Two-Player Zero-Sum Markov Games Solvable?	Unknown	PDF	N/A
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks	Unknown	PDF	N/A
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus	Unknown	PDF	N/A
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent	Unknown	PDF	N/A
Few-Shot Audio-Visual Learning of Environment Acoustics	Unknown	PDF	N/A
Redundancy-Free Message Passing for Graph Neural Networks	Unknown	PDF	N/A
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders	Unknown	PDF	N/A
Weighted Distillation with Unlabeled Examples	Unknown	PDF	N/A
Mixture-of-Experts with Expert Choice Routing	Unknown	PDF	N/A
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models	Unknown	PDF	N/A
Diffusion-LM Improves Controllable Text Generation	Unknown	PDF	N/A
Self-Supervised Pretraining for Large-Scale Point Clouds	Unknown	PDF	N/A
Invariant and Transportable Representations for Anti-Causal Domain Shifts	Unknown	PDF	N/A
Sparsity in Continuous-Depth Neural Networks	Unknown	PDF	N/A
A Variational Edge Partition Model for Supervised Graph Representation Learning	Unknown	PDF	N/A
A Simple Approach to Automated Spectral Clustering	Unknown	PDF	N/A
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling	Unknown	PDF	N/A
Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations	Unknown	PDF	N/A
Fault-Aware Neural Code Rankers	Unknown	PDF	N/A
PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization	Unknown	PDF	N/A
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal	Unknown	PDF	N/A
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models	Unknown	PDF	N/A
Learning Symmetric Rules with SATNet	Unknown	PDF	N/A
Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel	Unknown	PDF	N/A
Get More at Once: Alternating Sparse Training with Gradient Correction	Unknown	PDF	N/A
Learning Fractional White Noises in Neural Stochastic Differential Equations	Unknown	PDF	N/A
“Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations	Unknown	PDF	N/A
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power	Unknown	PDF	N/A
Training with More Confidence: Mitigating Injected and Natural Backdoors During Training	Unknown	PDF	N/A
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments	Unknown	PDF	N/A
Batch Multi-Fidelity Active Learning with Budget Constraints	Unknown	PDF	N/A
Between Stochastic and Adversarial Online Convex Optimization: Improved Regret Bounds via Smoothness	Unknown	PDF	N/A
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting	Unknown	PDF	N/A
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data	Unknown	PDF	N/A
Integral Probability Metrics PAC-Bayes Bounds	Unknown	PDF	N/A
Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning	Unknown	PDF	N/A
M2N: Mesh Movement Networks for PDE Solvers	Unknown	PDF	N/A
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection	Unknown	PDF	N/A
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation	Unknown	PDF	N/A
Gaussian Copula Embeddings	Unknown	PDF	N/A
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching	Unknown	PDF	N/A
CoNSoLe: Convex Neural Symbolic Learning	Unknown	PDF	N/A
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees	Unknown	PDF	N/A
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations	Unknown	PDF	N/A
Non-Stationary Bandits under Recharging Payoffs: Improved Planning with Sublinear Regret	Unknown	PDF	N/A
Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning	Unknown	PDF	N/A
PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration	Unknown	PDF	N/A
[Re] Value Alignment Verification	Unknown	PDF	N/A
Nearly-Tight Bounds for Testing Histogram Distributions	Unknown	PDF	N/A
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination	Unknown	PDF	N/A
Uncertainty Estimation for Multi-view Data: The Power of Seeing the Whole Picture	Unknown	PDF	N/A
Reinforcement Learning with Automated Auxiliary Loss Search	Unknown	PDF	N/A
Tractable Function-Space Variational Inference in Bayesian Neural Networks	Unknown	PDF	N/A
Are all Frames Equal? Active Sparse Labeling for Video Action Detection	Unknown	PDF	N/A
Unsupervised Learning under Latent Label Shift	Unknown	PDF	N/A
You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments	Unknown	PDF	N/A
Provable Subspace Identification Under Post-Nonlinear Mixtures	Unknown	PDF	N/A
Truly Deterministic Policy Optimization	Unknown	PDF	N/A
Active Learning Helps Pretrained Models Learn the Intended Task	Unknown	PDF	N/A
A Consolidated Cross-Validation Algorithm for Support Vector Machines via Data Reduction	Unknown	PDF	N/A
Giving Feedback on Interactive Student Programs with Meta-Exploration	Unknown	PDF	N/A
On Leave-One-Out Conditional Mutual Information For Generalization	Unknown	PDF	N/A
High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation	Unknown	PDF	N/A
Global Optimal K-Medoids Clustering of One Million Samples	Unknown	PDF	N/A
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree	Unknown	PDF	N/A
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes	Unknown	PDF	N/A
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis	Unknown	PDF	N/A
Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning	Unknown	PDF	N/A
Data-Driven Offline Decision-Making via Invariant Representation Learning	Unknown	PDF	N/A
When Does Group Invariant Learning Survive Spurious Correlations?	Unknown	PDF	N/A
On Elimination Strategies for Bandit Fixed-Confidence Identification	Unknown	PDF	N/A
So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems	Unknown	PDF	N/A
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels	Unknown	PDF	N/A
DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning	Unknown	PDF	N/A
Improving Diffusion Models for Inverse Problems using Manifold Constraints	Unknown	PDF	N/A
DARE: Disentanglement-Augmented Rationale Extraction	Unknown	PDF	N/A
Symmetry-induced Disentanglement on Graphs	Unknown	PDF	N/A
Learning in Observable POMDPs, without Computationally Intractable Oracles	Unknown	PDF	N/A
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning	Unknown	PDF	N/A
Spherization Layer: Representation Using Only Angles	Unknown	PDF	N/A
Grounded Reinforcement Learning: Learning to Win the Game under Human Commands	Unknown	PDF	N/A
How Powerful are K-hop Message Passing Graph Neural Networks	Unknown	PDF	N/A
MEMO: Test Time Robustness via Adaptation and Augmentation	Unknown	PDF	N/A
Redundant representations help generalization in wide neural networks	Unknown	PDF	N/A
Dynamic Learning in Large Matching Markets	Unknown	PDF	N/A
Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments	Unknown	PDF	N/A
Towards Understanding the Mixture-of-Experts Layer in Deep Learning	Unknown	PDF	N/A
A time-resolved theory of information encoding in recurrent neural networks	Unknown	PDF	N/A
Coresets for Relational Data and The Applications	Unknown	PDF	N/A
Coresets for Wasserstein Distributionally Robust Optimization Problems	Unknown	PDF	N/A
Lazy and Fast Greedy MAP Inference for Determinantal Point Process	Unknown	PDF	N/A
FlowHMM: Flow-based continuous hidden Markov models	Unknown	PDF	N/A
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification	Unknown	PDF	N/A
An Adaptive Deep RL Method for Non-Stationary Environments with Piecewise Stable Context	Unknown	PDF	N/A
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces	Unknown	PDF	N/A
Imbalance Trouble: Revisiting Neural-Collapse Geometry	Unknown	PDF	N/A
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties	Unknown	PDF	N/A
How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders	Unknown	PDF	N/A
WT-MVSNet: Window-based Transformers for Multi-view Stereo	Unknown	PDF	N/A
Models Out of Line: A Fourier Lens on Distribution Shift Robustness	Unknown	PDF	N/A
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction	Unknown	PDF	N/A
Chromatic Correlation Clustering, Revisited	Unknown	PDF	N/A
A Reduction to Binary Approach for Debiasing Multiclass Datasets	Unknown	PDF	N/A
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning	Unknown	PDF	N/A
Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays	Unknown	PDF	N/A
Revisiting Neural Scaling Laws in Language and Vision	Unknown	PDF	N/A
Towards Consistency in Adversarial Classification	Unknown	PDF	N/A
Last-Iterate Convergence of Optimistic Gradient Method for Monotone Variational Inequalities	Unknown	PDF	N/A
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy	Unknown	PDF	N/A
Revisit last-iterate convergence of mSGD under milder requirement on step size	Unknown	PDF	N/A
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation	Unknown	PDF	N/A
Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation	Unknown	PDF	N/A
Graph Coloring via Neural Networks for Haplotype Assembly and Viral Quasispecies Reconstruction	Unknown	PDF	N/A
Optimal Positive Generation via Latent Transformation for Contrastive Learning	Unknown	PDF	N/A
Neural-Symbolic Entangled Framework for Complex Query Answering	Unknown	PDF	N/A
Multiagent Q-learning with Sub-Team Coordination	Unknown	PDF	N/A
Sound and Complete Verification of Polynomial Networks	Unknown	PDF	N/A
Laplacian Autoencoders for Learning Stochastic Representations	Unknown	PDF	N/A
Oracle Inequalities for Model Selection in Offline Reinforcement Learning	Unknown	PDF	N/A
Revisiting Active Sets for Gaussian Process Decoders	Unknown	PDF	N/A
Bounding and Approximating Intersectional Fairness through Marginal Fairness	Unknown	PDF	N/A
MAtt: A Manifold Attention Network for EEG Decoding	Unknown	PDF	N/A
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis	Unknown	PDF	N/A
Collaborative Decision Making Using Action Suggestions	Unknown	PDF	N/A
Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution	Unknown	PDF	N/A
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback	Unknown	PDF	N/A
Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization	Unknown	PDF	N/A
Selective compression learning of latent representations for variable-rate image compression	Unknown	PDF	N/A
Neural Network Architecture Beyond Width and Depth	Unknown	PDF	N/A
On the relationship between variational inference and auto-associative memory	Unknown	PDF	N/A
Sparse Probabilistic Circuits via Pruning and Growing	Unknown	PDF	N/A
When to Intervene: Learning Optimal Intervention Policies for Critical Events	Unknown	PDF	N/A
Smoothed Embeddings for Certified Few-Shot Learning	Unknown	PDF	N/A
An Analytical Theory of Curriculum Learning in Teacher-Student Networks	Unknown	PDF	N/A
Black-box coreset variational inference	Unknown	PDF	N/A
Distilling Representations from GAN Generator via Squeeze and Span	Unknown	PDF	N/A
Generalization Analysis of Message Passing Neural Networks on Large Random Graphs	Unknown	PDF	N/A
Meta-Learning with Self-Improving Momentum Target	Unknown	PDF	N/A
Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space	Unknown	PDF	N/A
Sequence-to-Set Generative Models	Unknown	PDF	N/A
What Makes Graph Neural Networks Miscalibrated?	Unknown	PDF	N/A
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models	Unknown	PDF	N/A
Consistency of Constrained Spectral Clustering under Graph Induced Fair Planted Partitions	Unknown	PDF	N/A
A Regret-Variance Trade-Off in Online Learning	Unknown	PDF	N/A
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning	Unknown	PDF	N/A
Not too little, not too much: a theoretical analysis of graph (over)smoothing	Unknown	PDF	N/A
On A Mallows-type Model For (Ranked) Choices	Unknown	PDF	N/A
Inverse Design for Fluid-Structure Interactions using Graph Network Simulators	Unknown	PDF	N/A
Towards a Standardised Performance Evaluation Protocol for Cooperative MARL	Unknown	PDF	N/A
On the Learning Mechanisms in Physical Reasoning	Unknown	PDF	N/A
Joint Entropy Search For Maximally-Informed Bayesian Optimization	Unknown	PDF	N/A
Benign Overfitting in Two-layer Convolutional Neural Networks	Unknown	PDF	N/A
Proximal Point Imitation Learning	Unknown	PDF	N/A
On the Robustness of Graph Neural Diffusion to Topology Perturbations	Unknown	PDF	N/A
Power and limitations of single-qubit native quantum neural networks	Unknown	PDF	N/A
A Characterization of Semi-Supervised Adversarially Robust PAC Learnability	Unknown	PDF	N/A
Accelerating SGD for Highly Ill-Conditioned Huge-Scale Online Matrix Completion	Unknown	PDF	N/A
Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling	Unknown	PDF	N/A
Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network	Unknown	PDF	N/A
Sequential Information Design: Learning to Persuade in the Dark	Unknown	PDF	N/A
Optimal Weak to Strong Learning	Unknown	PDF	N/A
Unsupervised Learning of Group Invariant and Equivariant Representations	Unknown	PDF	N/A
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)	Unknown	PDF	N/A
Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC	Unknown	PDF	N/A
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders	Unknown	PDF	N/A
A Reparametrization-Invariant Sharpness Measure Based on Information Geometry	Unknown	PDF	N/A
Bayesian Active Learning with Fully Bayesian Gaussian Processes	Unknown	PDF	N/A
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy	Unknown	PDF	N/A
On Measuring Excess Capacity in Neural Networks	Unknown	PDF	N/A
General Cutting Planes for Bound-Propagation-Based Neural Network Verification	Unknown	PDF	N/A
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving	Unknown	PDF	N/A
Fine-Grained Semantically Aligned Vision-Language Pre-Training	Unknown	PDF	N/A
On Sample Optimality in Personalized Collaborative and Federated Learning	Unknown	PDF	N/A
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness	Unknown	PDF	N/A
Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning	Unknown	PDF	N/A
A Variant of Anderson Mixing with Minimal Memory Size	Unknown	PDF	N/A
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems	Unknown	PDF	N/A
Improved techniques for deterministic l2 robustness	Unknown	PDF	N/A
Real-Valued Backpropagation is Unsuitable for Complex-Valued Neural Networks	Unknown	PDF	N/A
Anonymized Histograms in Intermediate Privacy Models	Unknown	PDF	N/A
Relaxing Equivariance Constraints with Non-stationary Continuous Filters	Unknown	PDF	N/A
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators	Unknown	PDF	N/A
Sparse Gaussian Process Hyperparameters: Optimize or Integrate?	Unknown	PDF	N/A
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch	Unknown	PDF	N/A
Learning to Branch with Tree MDPs	Unknown	PDF	N/A
Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees	Unknown	PDF	N/A
Probing Classifiers are Unreliable for Concept Removal and Detection	Unknown	PDF	N/A
Graph Learning Assisted Multi-Objective Integer Programming	Unknown	PDF	N/A
Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means	Unknown	PDF	N/A
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data	Unknown	PDF	N/A
Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats	Unknown	PDF	N/A
On the Representation Collapse of Sparse Mixture of Experts	Unknown	PDF	N/A
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality	Unknown	PDF	N/A
Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers	Unknown	PDF	N/A
A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training	Unknown	PDF	N/A
Partial Identification of Treatment Effects with Implicit Generative Models	Unknown	PDF	N/A
Learning Neural Acoustic Fields	Unknown	PDF	N/A
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning	Unknown	PDF	N/A
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions	Unknown	PDF	N/A
A contrastive rule for meta-learning	Unknown	PDF	N/A
Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach	Unknown	PDF	N/A
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions	Unknown	PDF	N/A
Regularized Molecular Conformation Fields	Unknown	PDF	N/A
You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection	Unknown	PDF	N/A
Risk-Driven Design of Perception Systems	Unknown	PDF	N/A
Langevin Autoencoders for Learning Deep Latent Variable Models	Unknown	PDF	N/A
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection	Unknown	PDF	N/A
Learning on Arbitrary Graph Topologies via Predictive Coding	Unknown	PDF	N/A
Multi-Lingual Acquisition on Multimodal Pre-training for Cross-modal Retrieval	Unknown	PDF	N/A
Semantic Exploration from Language Abstractions and Pretrained Representations	Unknown	PDF	N/A
A Unified Sequence Interface for Vision Tasks	Unknown	PDF	N/A
Is Integer Arithmetic Enough for Deep Learning Training?	Unknown	PDF	N/A
Confident Adaptive Language Modeling	Unknown	PDF	N/A
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces	Unknown	PDF	N/A
3D Concept Grounding on Neural Fields	Unknown	PDF	N/A
A Solver-free Framework for Scalable Learning in Neural ILP Architectures	Unknown	PDF	N/A
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE	Unknown	PDF	N/A
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis	Unknown	PDF	N/A
Luckiness in Multiscale Online Learning	Unknown	PDF	N/A
Effective Dimension in Bandit Problems under Censorship	Unknown	PDF	N/A
In Defense of the Unitary Scalarization for Deep Multi-Task Learning	Unknown	PDF	N/A
Beyond IID: data-driven decision-making in heterogeneous environments	Unknown	PDF	N/A
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs	Unknown	PDF	N/A
Private Multiparty Perception for Navigation	Unknown	PDF	N/A
Group Meritocratic Fairness in Linear Contextual Bandits	Unknown	PDF	N/A
Deep Equilibrium Approaches to Diffusion Models	Unknown	PDF	N/A
Addressing Leakage in Concept Bottleneck Models	Unknown	PDF	N/A
Evolution of Neural Tangent Kernels under Benign and Adversarial Training	Unknown	PDF	N/A
The least-control principle for local learning at equilibrium	Unknown	PDF	N/A
Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps	Unknown	PDF	N/A
Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers	Unknown	PDF	N/A
PhysGNN: A Physics--Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image--Guided Neurosurgery	Unknown	PDF	N/A
Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions	Unknown	PDF	N/A
Better SGD using Second-order Momentum	Unknown	PDF	N/A
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales	Unknown	PDF	N/A
DevFly: Bio-Inspired Development of Binary Connections for Locality Preserving Sparse Codes	Unknown	PDF	N/A
Multi-agent Dynamic Algorithm Configuration	Unknown	PDF	N/A
Predictive Coding beyond Gaussian Distributions	Unknown	PDF	N/A
Jump Self-attention: Capturing High-order Statistics in Transformers	Unknown	PDF	N/A
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations	Unknown	PDF	N/A
RISE: Robust Individualized Decision Learning with Sensitive Variables	Unknown	PDF	N/A
Efficient and Stable Fully Dynamic Facility Location	Unknown	PDF	N/A
Envy-free Policy Teaching to Multiple Agents	Unknown	PDF	N/A
VaiPhy: a Variational Inference Based Algorithm for Phylogeny	Unknown	PDF	N/A
Active Learning with Safety Constraints	Unknown	PDF	N/A
Trustworthy Monte Carlo	Unknown	PDF	N/A
Learning-Augmented Algorithms for Online Linear and Semidefinite Programming	Unknown	PDF	N/A
Near-Optimal Correlation Clustering with Privacy	Unknown	PDF	N/A
Neural Attentive Circuits	Unknown	PDF	N/A
Intra-agent speech permits zero-shot task acquisition	Unknown	PDF	N/A
MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching	Unknown	PDF	N/A
Robustness to Label Noise Depends on the Shape of the Noise Distribution	Unknown	PDF	N/A
A Theoretical Study on Solving Continual Learning	Unknown	PDF	N/A
Anytime-Valid Inference For Multinomial Count Data	Unknown	PDF	N/A
Scalable and Efficient Non-adaptive Deterministic Group Testing	Unknown	PDF	N/A
Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth	Unknown	PDF	N/A
Variable-rate hierarchical CPC leads to acoustic unit discovery in speech	Unknown	PDF	N/A
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression	Unknown	PDF	N/A
Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets	Unknown	PDF	N/A
Distributed Online Convex Optimization with Compressed Communication	Unknown	PDF	N/A
GlanceNets: Interpretable, Leak-proof Concept-based Models	Unknown	PDF	N/A
BEER: Fast $O(1/T)$ Rate for Decentralized Nonconvex Optimization with Communication Compression	Unknown	PDF	N/A
On the Effectiveness of Persistent Homology	Unknown	PDF	N/A
The Effects of Regularization and Data Augmentation are Class Dependent	Unknown	PDF	N/A
On the Stability and Scalability of Node Perturbation Learning	Unknown	PDF	N/A
Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model	Unknown	PDF	N/A
Benefits of Additive Noise in Composing Classes with Bounded Capacity	Unknown	PDF	N/A
EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring	Unknown	PDF	N/A
Proppo: a Message Passing Framework for Customizable and Composable Learning Algorithms	Unknown	PDF	N/A
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees	Unknown	PDF	N/A
Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction	Unknown	PDF	N/A
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification	Unknown	PDF	N/A
A New Family of Generalization Bounds Using Samplewise Evaluated CMI	Unknown	PDF	N/A
Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations	Unknown	PDF	N/A
On the Adversarial Robustness of Mixture of Experts	Unknown	PDF	N/A
Graph Neural Networks are Dynamic Programmers	Unknown	PDF	N/A
K-LITE: Learning Transferable Visual Models with External Knowledge	Unknown	PDF	N/A
Mesoscopic modeling of hidden spiking neurons	Unknown	PDF	N/A
Self-Supervised Learning Through Efference Copies	Unknown	PDF	N/A
Self-Explaining Deviations for Coordination	Unknown	PDF	N/A
Multi-Objective Deep Learning with Adaptive Reference Vectors	Unknown	PDF	N/A
Overparameterization from Computational Constraints	Unknown	PDF	N/A
AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning	Unknown	PDF	N/A
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning	Unknown	PDF	N/A
On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model	Unknown	PDF	N/A
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free	Unknown	PDF	N/A
Modular Flows: Differential Molecular Generation	Unknown	PDF	N/A
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms	Unknown	PDF	N/A
PAC Prediction Sets for Meta-Learning	Unknown	PDF	N/A
Diffusion Models as Plug-and-Play Priors	Unknown	PDF	N/A
MorphTE: Injecting Morphology in Tensorized Embeddings	Unknown	PDF	N/A
Trajectory balance: Improved credit assignment in GFlowNets	Unknown	PDF	N/A
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond	Unknown	PDF	N/A
Task-Free Continual Learning via Online Discrepancy Distance Learning	Unknown	PDF	N/A
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams	Unknown	PDF	N/A
Evaluation beyond Task Performance: Analyzing Concepts in AlphaZero in Hex	Unknown	PDF	N/A
Benchopt: Reproducible, efficient and collaborative optimization benchmarks	Unknown	PDF	N/A
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks	Unknown	PDF	N/A
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network	Unknown	PDF	N/A
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints	Unknown	PDF	N/A
Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation	Unknown	PDF	N/A
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation	Unknown	PDF	N/A
SQ Lower Bounds for Learning Single Neurons with Massart Noise	Unknown	PDF	N/A
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning	Unknown	PDF	N/A
Average Sensitivity of Euclidean k-Clustering	Unknown	PDF	N/A
A theory of weight distribution-constrained learning	Unknown	PDF	N/A
Data augmentation for efficient learning from parametric experts	Unknown	PDF	N/A
Active Bayesian Causal Inference	Unknown	PDF	N/A
Template based Graph Neural Network with Optimal Transport Distances	Unknown	PDF	N/A
Outlier-Robust Sparse Estimation via Non-Convex Optimization	Unknown	PDF	N/A
Toward Understanding Privileged Features Distillation in Learning-to-Rank	Unknown	PDF	N/A
The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization	Unknown	PDF	N/A
FP8 Quantization: The Power of the Exponent	Unknown	PDF	N/A
Maximizing Revenue under Market Shrinkage and Market Uncertainty	Unknown	PDF	N/A
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification	Unknown	PDF	N/A
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts	Unknown	PDF	N/A
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning	Unknown	PDF	N/A
Structure-Aware Image Segmentation with Homotopy Warping	Unknown	PDF	N/A
Deep Learning Methods for Proximal Inference via Maximum Moment Restriction	Unknown	PDF	N/A
On global convergence of ResNets: From finite to infinite width using linear parameterization	Unknown	PDF	N/A
Residual Multiplicative Filter Networks for Multiscale Reconstruction	Unknown	PDF	N/A
Reinforcement Learning with Non-Exponential Discounting	Unknown	PDF	N/A
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning	Unknown	PDF	N/A
On the symmetries of the synchronization problem in Cryo-EM: Multi-Frequency Vector Diffusion Maps on the Projective Plane	Unknown	PDF	N/A
A Theoretical View on Sparsely Activated Networks	Unknown	PDF	N/A
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors	Unknown	PDF	N/A
Implications of Model Indeterminacy for Explanations of Automated Decisions	Unknown	PDF	N/A
NOMAD: Nonlinear Manifold Decoders for Operator Learning	Unknown	PDF	N/A
Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models	Unknown	PDF	N/A
How Sampling Impacts the Robustness of Stochastic Neural Networks	Unknown	PDF	N/A
Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains	Unknown	PDF	N/A
Shape And Structure Preserving Differential Privacy	Unknown	PDF	N/A
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning	Unknown	PDF	N/A
Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand Model	Unknown	PDF	N/A
Cross-Linked Unified Embedding for cross-modality representation learning	Unknown	PDF	N/A
Active Ranking without Strong Stochastic Transitivity	Unknown	PDF	N/A
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model	Unknown	PDF	N/A
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning	Unknown	PDF	N/A
Task Discovery: Finding the Tasks that Neural Networks Generalize on	Unknown	PDF	N/A
Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent	Unknown	PDF	N/A
LOT: Layer-wise Orthogonal Training on Improving l2 Certified Robustness	Unknown	PDF	N/A
Few-Shot Fast-Adaptive Anomaly Detection	Unknown	PDF	N/A
Learning dynamics of deep linear networks with multiple pathways	Unknown	PDF	N/A
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers	Unknown	PDF	N/A
Multi-fidelity Monte Carlo: a pseudo-marginal approach	Unknown	PDF	N/A
Learning sparse features can lead to overfitting in neural networks	Unknown	PDF	N/A
Pushing the limits of fairness impossibility: Who's the fairest of them all?	Unknown	PDF	N/A
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions	Unknown	PDF	N/A
Zonotope Domains for Lagrangian Neural Network Verification	Unknown	PDF	N/A
Safety Guarantees for Neural Network Dynamic Systems via Stochastic Barrier Functions	Unknown	PDF	N/A
Online Bipartite Matching with Advice: Tight Robustness-Consistency Tradeoffs for the Two-Stage Model	Unknown	PDF	N/A
Improving Multi-Task Generalization via Regularizing Spurious Correlation	Unknown	PDF	N/A
Operative dimensions in unconstrained connectivity of recurrent neural networks	Unknown	PDF	N/A
Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules	Unknown	PDF	N/A
Collaborative Linear Bandits with Adversarial Agents: Near-Optimal Regret Bounds	Unknown	PDF	N/A
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding	Unknown	PDF	N/A
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank	Unknown	PDF	N/A
Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference	Unknown	PDF	N/A
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets	Unknown	PDF	N/A
MAgNet: Mesh Agnostic Neural PDE Solver	Unknown	PDF	N/A
Online Learning and Pricing for Network Revenue Management with Reusable Resources	Unknown	PDF	N/A
Learning Modular Simulations for Homogeneous Systems	Unknown	PDF	N/A
Instability and Local Minima in GAN Training with Kernel Discriminators	Unknown	PDF	N/A
On Computing Probabilistic Explanations for Decision Trees	Unknown	PDF	N/A
Distributed Optimization for Overparameterized Problems: Achieving Optimal Dimension Independent Communication Complexity	Unknown	PDF	N/A
Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation	Unknown	PDF	N/A
When Combinatorial Thompson Sampling meets Approximation Regret	Unknown	PDF	N/A
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models	Unknown	PDF	N/A
Detecting Abrupt Changes in Sequential Pairwise Comparison Data	Unknown	PDF	N/A
Sparse Fourier Backpropagation in Cryo-EM Reconstruction	Unknown	PDF	N/A
When Does Differentially Private Learning Not Suffer in High Dimensions?	Unknown	PDF	N/A
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data	Unknown	PDF	N/A
(Optimal) Online Bipartite Matching with Degree Information	Unknown	PDF	N/A
Learning from a Sample in Online Algorithms	Unknown	PDF	N/A
Data-Driven Conditional Robust Optimization	Unknown	PDF	N/A
Linear Label Ranking with Bounded Noise	Unknown	PDF	N/A
Estimation of Entropy in Constant Space with Improved Sample Complexity	Unknown	PDF	N/A
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits	Unknown	PDF	N/A
Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning	Unknown	PDF	N/A
Robust Neural Posterior Estimation and Statistical Model Criticism	Unknown	PDF	N/A
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference	Unknown	PDF	N/A
The Missing Invariance Principle found -- the Reciprocal Twin of Invariant Risk Minimization	Unknown	PDF	N/A
MABSplit: Faster Forest Training Using Multi-Armed Bandits	Unknown	PDF	N/A
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class	Unknown	PDF	N/A
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints	Unknown	PDF	N/A
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games	Unknown	PDF	N/A
Phase transitions in when feedback is useful	Unknown	PDF	N/A
The Role of Baselines in Policy Gradient Optimization	Unknown	PDF	N/A
Autoformalization with Large Language Models	Unknown	PDF	N/A
Differentially Private Generalized Linear Models Revisited	Unknown	PDF	N/A
Learning to Follow Instructions in Text-Based Games	Unknown	PDF	N/A
On Learning and Refutation in Noninteractive Local Differential Privacy	Unknown	PDF	N/A
Cryptographic Hardness of Learning Halfspaces with Massart Noise	Unknown	PDF	N/A
Instance-optimal PAC Algorithms for Contextual Bandits	Unknown	PDF	N/A
Do Current Multi-Task Optimization Methods in Deep Learning Even Help?	Unknown	PDF	N/A
Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization	Unknown	PDF	N/A
Unsupervised Reinforcement Learning with Contrastive Intrinsic Control	Unknown	PDF	N/A
Exact learning dynamics of deep linear networks with prior knowledge	Unknown	PDF	N/A
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency	Unknown	PDF	N/A
Regret Bounds for Multilabel Classification in Sparse Label Regimes	Unknown	PDF	N/A
Characterizing Datapoints via Second-Split Forgetting	Unknown	PDF	N/A
Training language models to follow instructions with human feedback	Unknown	PDF	N/A
S4ND: Modeling Images and Videos as Multidimensional Signals with State Spaces	Unknown	PDF	N/A
Defining and Characterizing Reward Gaming	Unknown	PDF	N/A
Adversarial training for high-stakes reliability	Unknown	PDF	N/A
Semantic Probabilistic Layers for Neuro-Symbolic Learning	Unknown	PDF	N/A
WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents	Unknown	PDF	N/A
Maximizing and Satisficing in Multi-armed Bandits with Graph Information	Unknown	PDF	N/A
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM	Unknown	PDF	N/A
Spherical Channels for Modeling Atomic Interactions	Unknown	PDF	N/A
HyperTree Proof Search for Neural Theorem Proving	Unknown	PDF	N/A
Exploring the Latent Space of Autoencoders with Interventional Assays	Unknown	PDF	N/A
Root Cause Analysis of Failures in Microservices through Causal Discovery	Unknown	PDF	N/A
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks	Unknown	PDF	N/A
Finite-Sample Maximum Likelihood Estimation of Location	Unknown	PDF	N/A
BayesPCN: A Continually Learnable Predictive Coding Associative Memory	Unknown	PDF	N/A
On the detrimental effect of invariances in the likelihood for variational inference	Unknown	PDF	N/A
Learning to Compare Nodes in Branch and Bound with Graph Neural Networks	Unknown	PDF	N/A
Parameter-free Regret in High Probability with Heavy Tails	Unknown	PDF	N/A
Multi-Game Decision Transformers	Unknown	PDF	N/A
Structural Pruning via Latency-Saliency Knapsack	Unknown	PDF	N/A
The Query Complexity of Cake Cutting	Unknown	PDF	N/A
Best of Both Worlds Model Selection	Unknown	PDF	N/A
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation	Unknown	PDF	N/A
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound	Unknown	PDF	N/A
Memory safe computations with XLA compiler	Unknown	PDF	N/A
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning	Unknown	PDF	N/A
Fairness in Federated Learning via Core-Stability	Unknown	PDF	N/A
Accelerating Certified Robustness Training via Knowledge Transfer	Unknown	PDF	N/A
Certifying Some Distributional Fairness with Subpopulation Decomposition	Unknown	PDF	N/A
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation	Unknown	PDF	N/A
Sublinear Algorithms for Hierarchical Clustering	Unknown	PDF	N/A
A Deep Reinforcement Learning Framework for Column Generation	Unknown	PDF	N/A
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators	Unknown	PDF	N/A
EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL	Unknown	PDF	N/A
End-to-end Stochastic Optimization with Energy-based Model	Unknown	PDF	N/A
ReCo: Retrieve and Co-segment for Zero-shot Transfer	Unknown	PDF	N/A
Human-Robotic Prosthesis as Collaborating Agents for Symmetrical Walking	Unknown	PDF	N/A
Adaptive Interest for Emphatic Reinforcement Learning	Unknown	PDF	N/A
Chaotic Dynamics are Intrinsic to Neural Network Training with SGD	Unknown	PDF	N/A
Local Bayesian optimization via maximizing probability of descent	Unknown	PDF	N/A
Learning the Structure of Large Networked Systems Obeying Conservation Laws	Unknown	PDF	N/A
Near-Optimal No-Regret Learning Dynamics for General Convex Games	Unknown	PDF	N/A
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning	Unknown	PDF	N/A
A Practical, Progressively-Expressive GNN	Unknown	PDF	N/A
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward	Unknown	PDF	N/A
Provably tuning the ElasticNet across instances	Unknown	PDF	N/A
Fast Neural Kernel Embeddings for General Activations	Unknown	PDF	N/A
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts	Unknown	PDF	N/A
Simple and Optimal Greedy Online Contention Resolution Schemes	Unknown	PDF	N/A
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings	Unknown	PDF	N/A
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction	Unknown	PDF	N/A
Decoupled Context Processing for Context Augmented Language Modeling	Unknown	PDF	N/A
Efficiency Ordering of Stochastic Gradient Descent	Unknown	PDF	N/A
Robust Streaming PCA	Unknown	PDF	N/A
Learning Partial Equivariances From Data	Unknown	PDF	N/A
[Re] Lifting 2D StyleGAN for 3D-Aware Face Generation	Unknown	PDF	N/A
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting	Unknown	PDF	N/A
Unsupervised Causal Generative Understanding of Images	Unknown	PDF	N/A
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation	Unknown	PDF	N/A
Fair Ranking with Noisy Protected Attributes	Unknown	PDF	N/A
Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models	Unknown	PDF	N/A
Zero-Sum Stochastic Stackelberg Games	Unknown	PDF	N/A
Can Hybrid Geometric Scattering Networks Help Solve the Maximum Clique Problem?	Unknown	PDF	N/A
NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation	Unknown	PDF	N/A
Mining Multi-Label Samples from Single Positive Labels	Unknown	PDF	N/A
Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters	Unknown	PDF	N/A
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent	Unknown	PDF	N/A
Exponential Family Model-Based Reinforcement Learning via Score Matching	Unknown	PDF	N/A
Object Scene Representation Transformer	Unknown	PDF	N/A
Geometric Order Learning for Rank Estimation	Unknown	PDF	N/A
Learning with convolution and pooling operations in kernel methods	Unknown	PDF	N/A
Dataset Distillation using Neural Feature Regression	Unknown	PDF	N/A
Influencing Long-Term Behavior in Multiagent Reinforcement Learning	Unknown	PDF	N/A
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm	Unknown	PDF	N/A
Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search	Unknown	PDF	N/A
Learning Contrastive Embedding in Low-Dimensional Space	Unknown	PDF	N/A
Exploring Example Influence in Continual Learning	Unknown	PDF	N/A
JAWS: Auditing Predictive Uncertainty Under Covariate Shift	Unknown	PDF	N/A
One for All: Simultaneous Metric and Preference Learning over Multiple Users	Unknown	PDF	N/A
Paraphrasing Is All You Need for Novel Object Captioning	Unknown	PDF	N/A
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative	Unknown	PDF	N/A
Multiview Human Body Reconstruction from Uncalibrated Cameras	Unknown	PDF	N/A
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning	Unknown	PDF	N/A
Empirical Gateaux Derivatives for Causal Inference	Unknown	PDF	N/A
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators	Unknown	PDF	N/A
Benefits of Permutation-Equivariance in Auction Mechanisms	Unknown	PDF	N/A
Learning Active Camera for Multi-Object Navigation	Unknown	PDF	N/A
Toward Efficient Robust Training against Union of $\ell_p$ Threat Models	Unknown	PDF	N/A
Mask Matching Transformer for Few-Shot Segmentation	Unknown	PDF	N/A
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs	Unknown	PDF	N/A
Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data	Unknown	PDF	N/A
GREED: A Neural Framework for Learning Graph Distance Functions	Unknown	PDF	N/A
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty	Unknown	PDF	N/A
Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor	Unknown	PDF	N/A
DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation	Unknown	PDF	N/A
Learning Optical Flow from Continuous Spike Streams	Unknown	PDF	N/A
Retrospective Adversarial Replay for Continual Learning	Unknown	PDF	N/A
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach	Unknown	PDF	N/A
On Feature Learning in the Presence of Spurious Correlations	Unknown	PDF	N/A
Explaining Preferences with Shapley Values	Unknown	PDF	N/A
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation	Unknown	PDF	N/A
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective	Unknown	PDF	N/A
Block-Recurrent Transformers	Unknown	PDF	N/A
Hamiltonian Latent Operators for content and motion disentanglement in image sequences	Unknown	PDF	N/A
Learning (Very) Simple Generative Models Is Hard	Unknown	PDF	N/A
Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction	Unknown	PDF	N/A
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning	Unknown	PDF	N/A
Rethinking Generalization in Few-Shot Classification	Unknown	PDF	N/A
VectorAdam for Rotation Equivariant Geometry Optimization	Unknown	PDF	N/A
Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation	Unknown	PDF	N/A
Supervising the Multi-Fidelity Race of Hyperparameter Configurations	Unknown	PDF	N/A
Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions	Unknown	PDF	N/A
Single Model Uncertainty Estimation via Stochastic Data Centering	Unknown	PDF	N/A
CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers	Unknown	PDF	N/A
Graph Neural Networks with Adaptive Readouts	Unknown	PDF	N/A
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport	Unknown	PDF	N/A
Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation	Unknown	PDF	N/A
Beyond Mahalanobis Distance for Textual OOD Detection	Unknown	PDF	N/A
Tensor Program Optimization with Probabilistic Programs	Unknown	PDF	N/A
VICE: Variational Interpretable Concept Embeddings	Unknown	PDF	N/A
Learning single-index models with shallow neural networks	Unknown	PDF	N/A
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes	Unknown	PDF	N/A
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference Perspective	Unknown	PDF	N/A
LOG: Active Model Adaptation for Label-Efficient OOD Generalization	Unknown	PDF	N/A
Structural Knowledge Distillation for Object Detection	Unknown	PDF	N/A
Semantic uncertainty intervals for disentangled latent spaces	Unknown	PDF	N/A
Uni[MASK]: Unified Inference in Sequential Decision Problems	Unknown	PDF	N/A
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning	Unknown	PDF	N/A
Invertible Monotone Operators for Normalizing Flows	Unknown	PDF	N/A
A Transformer-Based Object Detector with Coarse-Fine Crossing Representations	Unknown	PDF	N/A
Distinguishing Learning Rules with Brain Machine Interfaces	Unknown	PDF	N/A
Asynchronous Actor-Critic for Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Expected Improvement for Contextual Bandits	Unknown	PDF	N/A
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework	Unknown	PDF	N/A
Graph Neural Network Bandits	Unknown	PDF	N/A
Mean Estimation with User-level Privacy under Data Heterogeneity	Unknown	PDF	N/A
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm	Unknown	PDF	N/A
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints	Unknown	PDF	N/A
LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation	Unknown	PDF	N/A
360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning	Unknown	PDF	N/A
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching	Unknown	PDF	N/A
Explain My Surprise: Learning Efficient Long-Term Memory by predicting uncertain outcomes	Unknown	PDF	N/A
A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk	Unknown	PDF	N/A
Policy Optimization with Linear Temporal Logic Constraints	Unknown	PDF	N/A
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning	Unknown	PDF	N/A
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation	Unknown	PDF	N/A
On the Theoretical Properties of Noise Correlation in Stochastic Optimization	Unknown	PDF	N/A
NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching	Unknown	PDF	N/A
ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs	Unknown	PDF	N/A
On Divergence Measures for Bayesian Pseudocoresets	Unknown	PDF	N/A
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid	Unknown	PDF	N/A
Can Push-forward Generative Models Fit Multimodal Distributions?	Unknown	PDF	N/A
Posterior and Computational Uncertainty in Gaussian Processes	Unknown	PDF	N/A
MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack	Unknown	PDF	N/A
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs	Unknown	PDF	N/A
Advancing Model Pruning via Bi-level Optimization	Unknown	PDF	N/A
An Algorithm for Learning Switched Linear Dynamics from Data	Unknown	PDF	N/A
Batch Bayesian optimisation via density-ratio estimation with guarantees	Unknown	PDF	N/A
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects	Unknown	PDF	N/A
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks	Unknown	PDF	N/A
Multi-objective Deep Data Generation with Correlated Property Control	Unknown	PDF	N/A
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations	Unknown	PDF	N/A
Learning Debiased Classifier with Biased Committee	Unknown	PDF	N/A
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis	Unknown	PDF	N/A
Capturing Failures of Large Language Models via Human Cognitive Biases	Unknown	PDF	N/A
Nonnegative Tensor Completion via Integer Optimization	Unknown	PDF	N/A
Equivariant Networks for Crystal Structures	Unknown	PDF	N/A
LieGG: Studying Learned Lie Group Generators	Unknown	PDF	N/A
On-Demand Sampling: Learning Optimally from Multiple Distributions	Unknown	PDF	N/A
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning	Unknown	PDF	N/A
Robust Model Selection and Nearly-Proper Learning for GMMs	Unknown	PDF	N/A
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks	Unknown	PDF	N/A
A Unified Framework for Alternating Offline Model Training and Policy Learning	Unknown	PDF	N/A
Automatic Differentiation of Programs with Discrete Randomness	Unknown	PDF	N/A
Thinned random measures for sparse graphs with overlapping communities	Unknown	PDF	N/A
Hybrid Neural Autoencoders for Stimulus Encoding in Visual and Other Sensory Neuroprostheses	Unknown	PDF	N/A
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems	Unknown	PDF	N/A
Amortized Inference for Causal Structure Learning	Unknown	PDF	N/A
Staircase Attention for Recurrent Processing of Sequences	Unknown	PDF	N/A
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs	Unknown	PDF	N/A
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off	Unknown	PDF	N/A
Biologically plausible solutions for spiking networks with efficient coding	Unknown	PDF	N/A
Algorithms with Prediction Portfolios	Unknown	PDF	N/A
SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning	Unknown	PDF	N/A
Deep Compression of Pre-trained Transformer Models	Unknown	PDF	N/A
Beyond neural scaling laws: beating power law scaling via data pruning	Unknown	PDF	N/A
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation	Unknown	PDF	N/A
Learning Optimal Flows for Non-Equilibrium Importance Sampling	Unknown	PDF	N/A
Incentivizing Combinatorial Bandit Exploration	Unknown	PDF	N/A
A Simple Decentralized Cross-Entropy Method	Unknown	PDF	N/A
Neural Abstractions	Unknown	PDF	N/A
Learning Dense Object Descriptors from Multiple Views for Low-shot Category Generalization	Unknown	PDF	N/A
Flowification: Everything is a normalizing flow	Unknown	PDF	N/A
Non-monotonic Resource Utilization in the Bandits with Knapsacks Problem	Unknown	PDF	N/A
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets	Unknown	PDF	N/A
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement	Unknown	PDF	N/A
Private and Communication-Efficient Algorithms for Entropy Estimation	Unknown	PDF	N/A
Kernel Multimodal Continuous Attention	Unknown	PDF	N/A
Stars: Tera-Scale Graph Building for Clustering and Learning	Unknown	PDF	N/A
Anonymous Bandits for Multi-User Systems	Unknown	PDF	N/A
Understanding Deep Contrastive Learning via Coordinate-wise Optimization	Unknown	PDF	N/A
Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions	Unknown	PDF	N/A
PALMER: Perception - Action Loop with Memory for Long-Horizon Planning	Unknown	PDF	N/A
Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation	Unknown	PDF	N/A
Finite Sample Analysis Of Dynamic Regression Parameter Learning	Unknown	PDF	N/A
Adaptive Stochastic Variance Reduction for Non-convex Finite-Sum Minimization	Unknown	PDF	N/A
Improved Coresets for Euclidean $k$-Means	Unknown	PDF	N/A
Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data	Unknown	PDF	N/A
Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems	Unknown	PDF	N/A
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs	Unknown	PDF	N/A
Grounded Video Situation Recognition	Unknown	PDF	N/A
Learning to Scaffold: Optimizing Model Explanations for Teaching	Unknown	PDF	N/A
Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social Text Classification	Unknown	PDF	N/A
Efficient Methods for Non-stationary Online Learning	Unknown	PDF	N/A
Sustainable Online Reinforcement Learning for Auto-bidding	Unknown	PDF	N/A
Effectiveness of Vision Transformer for Fast and Accurate Single-Stage Pedestrian Detection	Unknown	PDF	N/A
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models	Unknown	PDF	N/A
Isometric 3D Adversarial Examples in the Physical World	Unknown	PDF	N/A
The Hessian Screening Rule	Unknown	PDF	N/A
Measuring Data Reconstruction Defenses in Collaborative Inference Systems	Unknown	PDF	N/A
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization	Unknown	PDF	N/A
Kernel Memory Networks: A Unifying Framework for Memory Modeling	Unknown	PDF	N/A
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity	Unknown	PDF	N/A
Flexible Diffusion Modeling of Long Videos	Unknown	PDF	N/A
Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking	Unknown	PDF	N/A
Meta-Complementing the Semantics of Short Texts in Neural Topic Models	Unknown	PDF	N/A
Robust Feature-Level Adversaries are Interpretability Tools	Unknown	PDF	N/A
Knowledge-Aware Bayesian Deep Topic Model	Unknown	PDF	N/A
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games	Unknown	PDF	N/A
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants	Unknown	PDF	N/A
Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs	Unknown	PDF	N/A
FourierNets enable the design of highly non-local optical encoders for computational imaging	Unknown	PDF	N/A
TVLT: Textless Vision-Language Transformer	Unknown	PDF	N/A
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit	Unknown	PDF	N/A
Retaining Knowledge for Learning with Dynamic Definition	Unknown	PDF	N/A
XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient	Unknown	PDF	N/A
PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts	Unknown	PDF	N/A
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language	Unknown	PDF	N/A
Fairness without Demographics through Knowledge Distillation	Unknown	PDF	N/A
Deep Bidirectional Language-Knowledge Graph Pretraining	Unknown	PDF	N/A
Rethinking Value Function Learning for Generalization in Reinforcement Learning	Unknown	PDF	N/A
Instance-Dependent Near-Optimal Policy Identification in Linear MDPs via Online Experiment Design	Unknown	PDF	N/A
Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training	Unknown	PDF	N/A
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference	Unknown	PDF	N/A
Efficient Dataset Distillation using Random Feature Approximation	Unknown	PDF	N/A
Locally Hierarchical Auto-Regressive Modeling for Image Generation	Unknown	PDF	N/A
Interaction-Grounded Learning with Action-Inclusive Feedback	Unknown	PDF	N/A
AdaFocal: Calibration-aware Adaptive Focal Loss	Unknown	PDF	N/A
Convergence for score-based generative modeling with polynomial complexity	Unknown	PDF	N/A
Toward Robust Spiking Neural Network Against Adversarial Perturbation	Unknown	PDF	N/A
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training	Unknown	PDF	N/A
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation	Unknown	PDF	N/A
$\alpha$-ReQ : Assessing Representation Quality in Self-Supervised Learning by measuring eigenspectrum decay	Unknown	PDF	N/A
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity	Unknown	PDF	N/A
NaturalProver: Grounded Mathematical Proof Generation with Language Models	Unknown	PDF	N/A
Predictive Querying for Autoregressive Neural Sequence Models	Unknown	PDF	N/A
Differentially Private Linear Sketches: Efficient Implementations and Applications	Unknown	PDF	N/A
Probable Domain Generalization via Quantile Risk Minimization	Unknown	PDF	N/A
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification	Unknown	PDF	N/A
Minimax Optimal Online Imitation Learning via Replay Estimation	Unknown	PDF	N/A
Subspace Recovery from Heterogeneous Data with Non-isotropic Noise	Unknown	PDF	N/A
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization	Unknown	PDF	N/A
Exploring the Whole Rashomon Set of Sparse Decision Trees	Unknown	PDF	N/A
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice	Unknown	PDF	N/A
AutoML Two-Sample Test	Unknown	PDF	N/A
Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning	Unknown	PDF	N/A
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations	Unknown	PDF	N/A
Sampling from Log-Concave Distributions with Infinity-Distance Guarantees	Unknown	PDF	N/A
Decentralized Gossip-Based Stochastic Bilevel Optimization over Communication Networks	Unknown	PDF	N/A
Distributional Reinforcement Learning for Risk-Sensitive Policies	Unknown	PDF	N/A
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis	Unknown	PDF	N/A
Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images	Unknown	PDF	N/A
Unsupervised Domain Adaptation for Semantic Segmentation using Depth Distribution	Unknown	PDF	N/A
Data-Efficient Structured Pruning via Submodular Optimization	Unknown	PDF	N/A
Structured Energy Network As a Loss	Unknown	PDF	N/A
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models	Unknown	PDF	N/A
Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class	Unknown	PDF	N/A
Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain	Unknown	PDF	N/A
Exploring evolution-aware & -free protein language models as protein function predictors	Unknown	PDF	N/A
Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs	Unknown	PDF	N/A
On the Tradeoff Between Robustness and Fairness	Unknown	PDF	N/A
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures	Unknown	PDF	N/A
Causality-driven Hierarchical Structure Discovery for Reinforcement Learning	Unknown	PDF	N/A
Are AlphaZero-like Agents Robust to Adversarial Perturbations?	Unknown	PDF	N/A
Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization	Unknown	PDF	N/A
Pluralistic Image Completion with Gaussian Mixture Models	Unknown	PDF	N/A
Generalization Analysis on Learning with a Concurrent Verifier	Unknown	PDF	N/A
Receding Horizon Inverse Reinforcement Learning	Unknown	PDF	N/A
Learning to Share in Networked Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
FIRE: Semantic Field of Words Represented as Non-Linear Functions	Unknown	PDF	N/A
Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loop	Unknown	PDF	N/A
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping	Unknown	PDF	N/A
Pyramid Attention For Source Code Summarization	Unknown	PDF	N/A
Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning	Unknown	PDF	N/A
Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors	Unknown	PDF	N/A
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data	Unknown	PDF	N/A
DNA: Proximal Policy Optimization with a Dual Network Architecture	Unknown	PDF	N/A
Will Bilevel Optimizers Benefit from Loops	Unknown	PDF	N/A
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders	Unknown	PDF	N/A
Redeeming intrinsic rewards via constrained optimization	Unknown	PDF	N/A
Target alignment in truncated kernel ridge regression	Unknown	PDF	N/A
Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits	Unknown	PDF	N/A
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL	Unknown	PDF	N/A
Dynamic Sparse Network for Time Series Classification: Learning What to “See”	Unknown	PDF	N/A
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions	Unknown	PDF	N/A
Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy	Unknown	PDF	N/A
Perturbation Learning Based Anomaly Detection	Unknown	PDF	N/A
Hierarchical Graph Transformer with Adaptive Node Sampling	Unknown	PDF	N/A
LogiGAN: Learning Logical Reasoning via Adversarial Pre-training	Unknown	PDF	N/A
Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs	Unknown	PDF	N/A
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines	Unknown	PDF	N/A
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions	Unknown	PDF	N/A
On the Limitations of Stochastic Pre-processing Defenses	Unknown	PDF	N/A
ResQ: A Residual Q Function-based Approach for Multi-Agent Reinforcement Learning Value Factorization	Unknown	PDF	N/A
Global Convergence and Stability of Stochastic Gradient Descent	Unknown	PDF	N/A
Delving into Out-of-Distribution Detection with Vision-Language Representations	Unknown	PDF	N/A
Recruitment Strategies That Take a Chance	Unknown	PDF	N/A
Inference and Sampling for Archimax Copulas	Unknown	PDF	N/A
Text Classification with Born's Rule	Unknown	PDF	N/A
Cluster and Aggregate: Face Recognition with Large Probe Set	Unknown	PDF	N/A
VTC-LFC: Vision Transformer Compression with Low-Frequency Components	Unknown	PDF	N/A
Lipschitz Bandits with Batched Feedback	Unknown	PDF	N/A
Formulating Robustness Against Unforeseen Attacks	Unknown	PDF	N/A
Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks	Unknown	PDF	N/A
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap	Unknown	PDF	N/A
CageNeRF: Cage-based Neural Radiance Field for Generalized 3D Deformation and Animation	Unknown	PDF	N/A
Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection	Unknown	PDF	N/A
Non-Gaussian Tensor Programs	Unknown	PDF	N/A
Understanding the Eluder Dimension	Unknown	PDF	N/A
Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization	Unknown	PDF	N/A
Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity	Unknown	PDF	N/A
Simulation-guided Beam Search for Neural Combinatorial Optimization	Unknown	PDF	N/A
Quo Vadis: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?	Unknown	PDF	N/A
Meta-Reinforcement Learning with Self-Modifying Networks	Unknown	PDF	N/A
Respecting Transfer Gap in Knowledge Distillation	Unknown	PDF	N/A
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs	Unknown	PDF	N/A
TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification	Unknown	PDF	N/A
One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration	Unknown	PDF	N/A
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification	Unknown	PDF	N/A
Sharing Knowledge for Meta-learning with Feature Descriptions	Unknown	PDF	N/A
Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes	Unknown	PDF	N/A
Continual Learning with Evolving Class Ontologies	Unknown	PDF	N/A
Quasi-Newton Methods for Saddle Point Problems	Unknown	PDF	N/A
TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition	Unknown	PDF	N/A
Asymptotic Properties for Bayesian Neural Network in Besov Space	Unknown	PDF	N/A
Planning for Sample Efficient Imitation Learning	Unknown	PDF	N/A
Peripheral Vision Transformer	Unknown	PDF	N/A
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization	Unknown	PDF	N/A
HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies	Unknown	PDF	N/A
Approximate Secular Equations for the Cubic Regularization Subproblem	Unknown	PDF	N/A
Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition	Unknown	PDF	N/A
Unsupervised Learning of Equivariant Structure from Sequences	Unknown	PDF	N/A
Inception Transformer	Unknown	PDF	N/A
Signal Recovery with Non-Expansive Generative Network Priors	Unknown	PDF	N/A
Counterfactual harm	Unknown	PDF	N/A
Posterior Collapse of a Linear Latent Variable Model	Unknown	PDF	N/A
Harmonizing the object recognition strategies of deep neural networks with humans	Unknown	PDF	N/A
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment	Unknown	PDF	N/A
Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping	Unknown	PDF	N/A
Model-Based Imitation Learning for Urban Driving	Unknown	PDF	N/A
OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models	Unknown	PDF	N/A
ELIAS: End-to-End Learning to Index and Search in Large Output Spaces	Unknown	PDF	N/A
QUARK: Controllable Text Generation with Reinforced Unlearning	Unknown	PDF	N/A
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition	Unknown	PDF	N/A
Finding Differences Between Transformers and ConvNets Using Counterfactual Simulation Testing	Unknown	PDF	N/A
Anticipating Performativity by Predicting from Predictions	Unknown	PDF	N/A
Fast Vision Transformers with HiLo Attention	Unknown	PDF	N/A
OpenAUC: Towards AUC-Oriented Open-Set Recognition	Unknown	PDF	N/A
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability	Unknown	PDF	N/A
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models	Unknown	PDF	N/A
Differentiable Analog Quantum Computing for Optimization and Control	Unknown	PDF	N/A
Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing	Unknown	PDF	N/A
Monte Carlo Tree Descent for Black-Box Optimization	Unknown	PDF	N/A
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting	Unknown	PDF	N/A
Robust Imitation of a Few Demonstrations with a Backwards Model	Unknown	PDF	N/A
AMP: Automatically Finding Model Parallel Strategies with Heterogeneity Awareness	Unknown	PDF	N/A
Communication Acceleration of Local Gradient Methods via an Accelerated Primal-Dual Algorithm with an Inexact Prox	Unknown	PDF	N/A
Performative Power	Unknown	PDF	N/A
SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery	Unknown	PDF	N/A
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting	Unknown	PDF	N/A
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift	Unknown	PDF	N/A
Confident Approximate Policy Iteration for Efficient Local Planning in $q^\pi$-realizable MDPs	Unknown	PDF	N/A
Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity	Unknown	PDF	N/A
Society of Agents: Regret Bounds of Concurrent Thompson Sampling	Unknown	PDF	N/A
Exploring Length Generalization in Large Language Models	Unknown	PDF	N/A
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation	Unknown	PDF	N/A
GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale	Unknown	PDF	N/A
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks	Unknown	PDF	N/A
Revisiting Sparse Convolutional Model for Visual Recognition	Unknown	PDF	N/A
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning	Unknown	PDF	N/A
MoCoDA: Model-based Counterfactual Data Augmentation	Unknown	PDF	N/A
Beyond Adult and COMPAS: Fair Multi-Class Prediction via Information Projection	Unknown	PDF	N/A
On the generalization of learning algorithms that do not converge	Unknown	PDF	N/A
Capturing Graphs with Hypo-Elliptic Diffusions	Unknown	PDF	N/A
Hypothesis Testing for Differentially Private Linear Regression	Unknown	PDF	N/A
Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms	Unknown	PDF	N/A
AutoST: Towards the Universal Modeling of Spatio-temporal Sequences	Unknown	PDF	N/A
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning	Unknown	PDF	N/A
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine	Unknown	PDF	N/A
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness	Unknown	PDF	N/A
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior	Unknown	PDF	N/A
CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification	Unknown	PDF	N/A
BYOL-Explore: Exploration by Bootstrapped Prediction	Unknown	PDF	N/A
Ordered Subgraph Aggregation Networks	Unknown	PDF	N/A
Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability	Unknown	PDF	N/A
Label Noise in Adversarial Training: A Novel Perspective to Study Robust Overfitting	Unknown	PDF	N/A
Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime	Unknown	PDF	N/A
Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval	Unknown	PDF	N/A
An In-depth Study of Stochastic Backpropagation	Unknown	PDF	N/A
Tractable Optimality in Episodic Latent MABs	Unknown	PDF	N/A
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning	Unknown	PDF	N/A
Improving Certified Robustness via Statistical Learning with Logical Reasoning	Unknown	PDF	N/A
Online Decision Mediation	Unknown	PDF	N/A
Deep Differentiable Logic Gate Networks	Unknown	PDF	N/A
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity	Unknown	PDF	N/A
Associating Objects and Their Effects in Video through Coordination Games	Unknown	PDF	N/A
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits	Unknown	PDF	N/A
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression	Unknown	PDF	N/A
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference	Unknown	PDF	N/A
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization	Unknown	PDF	N/A
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift	Unknown	PDF	N/A
Neural Conservation Laws: A Divergence-Free Perspective	Unknown	PDF	N/A
Sparse Hypergraph Community Detection Thresholds in Stochastic Block Model	Unknown	PDF	N/A
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries	Unknown	PDF	N/A
Latent Hierarchical Causal Structure Discovery with Rank Constraints	Unknown	PDF	N/A
Task-Agnostic Graph Explanations	Unknown	PDF	N/A
ZSON: Zero-Shot Object-Goal Navigation using Multimodal Goal Embeddings	Unknown	PDF	N/A
Towards Optimal Communication Complexity in Distributed Non-Convex Optimization	Unknown	PDF	N/A
Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement	Unknown	PDF	N/A
Optimal Rates for Regularized Conditional Mean Embedding Learning	Unknown	PDF	N/A
Are All Losses Created Equal: A Neural Collapse Perspective	Unknown	PDF	N/A
Scalable Representation Learning in Linear Contextual Bandits with Constant Regret Guarantees	Unknown	PDF	N/A
What You See is What You Get: Principled Deep Learning via Distributional Generalization	Unknown	PDF	N/A
Knowledge Distillation: Bad Models Can Be Good Role Models	Unknown	PDF	N/A
Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively	Unknown	PDF	N/A
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting	Unknown	PDF	N/A
Rare Gems: Finding Lottery Tickets at Initialization	Unknown	PDF	N/A
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit	Unknown	PDF	N/A
Neural Approximation of Graph Topological Features	Unknown	PDF	N/A
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning	Unknown	PDF	N/A
Surprise Minimizing Multi-Agent Learning with Energy-based Models	Unknown	PDF	N/A
Sparse Structure Search for Delta Tuning	Unknown	PDF	N/A
Stability and Generalization for Markov Chain Stochastic Gradient Methods	Unknown	PDF	N/A
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare	Unknown	PDF	N/A
Discovery of Single Independent Latent Variable	Unknown	PDF	N/A
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation	Unknown	PDF	N/A
Compressible-composable NeRF via Rank-residual Decomposition	Unknown	PDF	N/A
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again	Unknown	PDF	N/A
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps	Unknown	PDF	N/A
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs	Unknown	PDF	N/A
Neural Shape Deformation Priors	Unknown	PDF	N/A
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning	Unknown	PDF	N/A
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective	Unknown	PDF	N/A
Factuality Enhanced Language Models for Open-Ended Text Generation	Unknown	PDF	N/A
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets	Unknown	PDF	N/A
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits	Unknown	PDF	N/A
MaskTune: Mitigating Spurious Correlations by Forcing to Explore	Unknown	PDF	N/A
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions	Unknown	PDF	N/A
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology	Unknown	PDF	N/A
Reconstructing Training Data From Trained Neural Networks	Unknown	PDF	N/A
Use-Case-Grounded Simulations for Explanation Evaluation	Unknown	PDF	N/A
Differentiable hierarchical and surrogate gradient search for spiking neural networks	Unknown	PDF	N/A
CalFAT: Calibrated Federated Adversarial Training with Label Skewness	Unknown	PDF	N/A
Cluster Randomized Designs for One-Sided Bipartite Experiments	Unknown	PDF	N/A
Multi-Sample Training for Neural Image Compression	Unknown	PDF	N/A
On the Parameterization and Initialization of Diagonal State Space Models	Unknown	PDF	N/A
Solving Quantitative Reasoning Problems with Language Models	Unknown	PDF	N/A
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks	Unknown	PDF	N/A
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video	Unknown	PDF	N/A
Semi-Supervised Video Salient Object Detection Based on Uncertainty-Guided Pseudo Labels	Unknown	PDF	N/A
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting	Unknown	PDF	N/A
SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks	Unknown	PDF	N/A
Squeezeformer: An Efficient Transformer for Automatic Speech Recognition	Unknown	PDF	N/A
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks	Unknown	PDF	N/A
Generalizing Bayesian Optimization with Decision-theoretic Entropies	Unknown	PDF	N/A
Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-Speech	Unknown	PDF	N/A
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes	Unknown	PDF	N/A
Unsupervised Object Detection Pretraining with Joint Object Priors Generation and Detector Learning	Unknown	PDF	N/A
Learning Chaotic Dynamics in Dissipative Systems	Unknown	PDF	N/A
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction	Unknown	PDF	N/A
SeqPATE: Differentially Private Text Generation via Knowledge Distillation	Unknown	PDF	N/A
DENSE: Data-Free One-Shot Federated Learning	Unknown	PDF	N/A
Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization	Unknown	PDF	N/A
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?	Unknown	PDF	N/A
Hiding Images in Deep Probabilistic Models	Unknown	PDF	N/A
Factored Adaptation for Non-Stationary Reinforcement Learning	Unknown	PDF	N/A
Optimal Algorithms for Decentralized Stochastic Variational Inequalities	Unknown	PDF	N/A
Semi-supervised Vision Transformers at Scale	Unknown	PDF	N/A
Deep Model Reassembly	Unknown	PDF	N/A
Your Transformer May Not be as Powerful as You Expect	Unknown	PDF	N/A
InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation	Unknown	PDF	N/A
Linear tree shap	Unknown	PDF	N/A
Delving into Sequential Patches for Deepfake Detection	Unknown	PDF	N/A
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection	Unknown	PDF	N/A
ClimbQ: Class Imbalanced Quantization Enabling Robustness on Efficient Inferences	Unknown	PDF	N/A
Learning Latent Seasonal-Trend Representations for Time Series Forecasting	Unknown	PDF	N/A
Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks	Unknown	PDF	N/A
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation	Unknown	PDF	N/A
DreamShard: Generalizable Embedding Table Placement for Recommender Systems	Unknown	PDF	N/A
Dataset Distillation via Factorization	Unknown	PDF	N/A
Video Diffusion Models	Unknown	PDF	N/A
Theseus: A Library for Differentiable Nonlinear Optimization	Unknown	PDF	N/A
Decoupling Features in Hierarchical Propagation for Video Object Segmentation	Unknown	PDF	N/A
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection	Unknown	PDF	N/A
Explainable Reinforcement Learning via Model Transforms	Unknown	PDF	N/A
Matryoshka Representation Learning	Unknown	PDF	N/A
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids	Unknown	PDF	N/A
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation	Unknown	PDF	N/A
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning	Unknown	PDF	N/A
LGDN: Language-Guided Denoising Network for Video-Language Modeling	Unknown	PDF	N/A
PyramidCLIP: Hierarchical Feature Alignment for Vision-language Model Pretraining	Unknown	PDF	N/A
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning	Unknown	PDF	N/A
Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency	Unknown	PDF	N/A
Flexible Neural Image Compression via Code Editing	Unknown	PDF	N/A
Learning Physics Constrained Dynamics Using Autoencoders	Unknown	PDF	N/A
Active Learning with Neural Networks: Insights from Nonparametric Statistics	Unknown	PDF	N/A
Understanding Robust Learning through the Lens of Representation Similarities	Unknown	PDF	N/A
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations	Unknown	PDF	N/A
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models	Unknown	PDF	N/A
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models	Unknown	PDF	N/A
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling	Unknown	PDF	N/A
Measuring and Reducing Model Update Regression in Structured Prediction for NLP	Unknown	PDF	N/A
Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D representations	Unknown	PDF	N/A
Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve	Unknown	PDF	N/A
A Policy-Guided Imitation Approach for Offline Reinforcement Learning	Unknown	PDF	N/A
Asymptotics of smoothed Wasserstein distances in the small noise regime	Unknown	PDF	N/A
Finite-Time Last-Iterate Convergence for Learning in Multi-Player Games	Unknown	PDF	N/A
CARD: Classification and Regression Diffusion Models	Unknown	PDF	N/A
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs	Unknown	PDF	N/A
Unlabelled Sample Compression Schemes for Intersection-Closed Classes and Extremal Classes	Unknown	PDF	N/A
Concentration of Data Encoding in Parameterized Quantum Circuits	Unknown	PDF	N/A
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation	Unknown	PDF	N/A
M$^4$I: Multi-modal Models Membership Inference	Unknown	PDF	N/A
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules	Unknown	PDF	N/A
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts	Unknown	PDF	N/A
Pre-Trained Language Models for Interactive Decision-Making	Unknown	PDF	N/A
Learning from Label Proportions by Learning with Label Noise	Unknown	PDF	N/A
A Closer Look at Offline RL Agents	Unknown	PDF	N/A
Beyond spectral gap: the role of the topology in decentralized learning	Unknown	PDF	N/A
A permutation-free kernel two-sample test	Unknown	PDF	N/A
C-Mixup: Improving Generalization in Regression	Unknown	PDF	N/A
Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses	Unknown	PDF	N/A
Efficient Multi-agent Communication via Self-supervised Information Aggregation	Unknown	PDF	N/A
EfficientFormer: Vision Transformers at MobileNet Speed	Unknown	PDF	N/A
Pseudo-Riemannian Graph Convolutional Networks	Unknown	PDF	N/A
Fast Algorithms for Packing Proportional Fairness and its Dual	Unknown	PDF	N/A
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees	Unknown	PDF	N/A
Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes	Unknown	PDF	N/A
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress	Unknown	PDF	N/A
Active Exploration for Inverse Reinforcement Learning	Unknown	PDF	N/A
UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator	Unknown	PDF	N/A
Diffusion Curvature for Estimating Local Curvature in High Dimensional Data	Unknown	PDF	N/A
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms	Unknown	PDF	N/A
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation	Unknown	PDF	N/A
Efficient learning of nonlinear prediction models with time-series privileged information	Unknown	PDF	N/A
Training and Inference on Any-Order Autoregressive Models the Right Way	Unknown	PDF	N/A
SPD: Synergy Pattern Diversifying Oriented Unsupervised Multi-agent Reinforcement Learning	Unknown	PDF	N/A
GAPX: Generalized Autoregressive Paraphrase-Identification X	Unknown	PDF	N/A
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks	Unknown	PDF	N/A
Reinforcement Learning with a Terminator	Unknown	PDF	N/A
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens	Unknown	PDF	N/A
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization	Unknown	PDF	N/A
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds	Unknown	PDF	N/A
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection	Unknown	PDF	N/A
Object-Category Aware Reinforcement Learning	Unknown	PDF	N/A
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses	Unknown	PDF	N/A
Universally Expressive Communication in Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Are GANs overkill for NLP?	Unknown	PDF	N/A
Simple Mechanisms for Welfare Maximization in Rich Advertising Auctions	Unknown	PDF	N/A
Scalable Interpretability via Polynomials	Unknown	PDF	N/A
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation	Unknown	PDF	N/A
Learning Audio-Visual Dynamics Using Scene Graphs for Audio Source Separation	Unknown	PDF	N/A
Symmetry Teleportation for Accelerated Optimization	Unknown	PDF	N/A
The Nature of Temporal Difference Errors in Multi-step Distributional Reinforcement Learning	Unknown	PDF	N/A
Truncated proposals for scalable and hassle-free simulation-based inference	Unknown	PDF	N/A
Large-Scale Retrieval for Reinforcement Learning	Unknown	PDF	N/A
Decoupled Self-supervised Learning for Graphs	Unknown	PDF	N/A
In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning	Unknown	PDF	N/A
Handcrafted Backdoors in Deep Neural Networks	Unknown	PDF	N/A
Structuring Representations Using Group Invariants	Unknown	PDF	N/A
A sharp NMF result with applications in network modeling	Unknown	PDF	N/A
Improving Policy Learning via Language Dynamics Distillation	Unknown	PDF	N/A
Pure Transformers are Powerful Graph Learners	Unknown	PDF	N/A
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification	Unknown	PDF	N/A
Few-shot Image Generation via Adaptation-Aware Kernel Modulation	Unknown	PDF	N/A
Towards Understanding Grokking: An Effective Theory of Representation Learning	Unknown	PDF	N/A
Online Agnostic Multiclass Boosting	Unknown	PDF	N/A
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions	Unknown	PDF	N/A
Robust Imitation via Mirror Descent Inverse Reinforcement Learning	Unknown	PDF	N/A
HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding	Unknown	PDF	N/A
Oracle-Efficient Online Learning for Smoothed Adversaries	Unknown	PDF	N/A
Multiclass Learnability Beyond the PAC Framework: Universal Rates and Partial Concept Classes	Unknown	PDF	N/A
Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs	Unknown	PDF	N/A
Learning from Distributed Users in Contextual Linear Bandits Without Sharing the Context	Unknown	PDF	N/A
Accelerating Sparse Convolution with Column Vector-Wise Sparsity	Unknown	PDF	N/A
Fast Instrument Learning with Faster Rates	Unknown	PDF	N/A
LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout	Unknown	PDF	N/A
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method	Unknown	PDF	N/A
Learning Neural Set Functions Under the Optimal Subset Oracle	Unknown	PDF	N/A
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics	Unknown	PDF	N/A
Universality of Group Convolutional Neural Networks Based on Ridgelet Analysis on Groups	Unknown	PDF	N/A
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels	Unknown	PDF	N/A
Beyond L1: Faster and Better Sparse Models with skglm	Unknown	PDF	N/A
Improving GANs with A Dynamic Discriminator	Unknown	PDF	N/A
Streaming Radiance Fields for 3D Video Synthesis	Unknown	PDF	N/A
On the non-universality of deep learning: quantifying the cost of symmetry	Unknown	PDF	N/A
GraB: Finding Provably Better Data Permutations than Random Reshuffling	Unknown	PDF	N/A
Enhancing Safe Exploration Using Safety State Augmentation	Unknown	PDF	N/A
Robust Binary Models by Pruning Randomly-initialized Networks	Unknown	PDF	N/A
Optimal and Adaptive Monteiro-Svaiter Acceleration	Unknown	PDF	N/A
Reinforcement Learning with Logarithmic Regret and Policy Switches	Unknown	PDF	N/A
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences	Unknown	PDF	N/A
Temporally-Consistent Survival Analysis	Unknown	PDF	N/A
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data	Unknown	PDF	N/A
Learning and Covering Sums of Independent Random Variables with Unbounded Support	Unknown	PDF	N/A
Learning to Discover and Detect Objects	Unknown	PDF	N/A
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes	Unknown	PDF	N/A
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach	Unknown	PDF	N/A
DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning	Unknown	PDF	N/A
Improving Intrinsic Exploration with Language Abstractions	Unknown	PDF	N/A
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields	Unknown	PDF	N/A
Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations	Unknown	PDF	N/A
ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model	Unknown	PDF	N/A
Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness	Unknown	PDF	N/A
VoiceBlock: Privacy through Real-Time Adversarial Attacks with Audio-to-Audio Models	Unknown	PDF	N/A
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm	Unknown	PDF	N/A
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions	Unknown	PDF	N/A
Invariance-Aware Randomized Smoothing Certificates	Unknown	PDF	N/A
Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions	Unknown	PDF	N/A
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL	Unknown	PDF	N/A
Energy-Based Contrastive Learning of Visual Representations	Unknown	PDF	N/A
Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials	Unknown	PDF	N/A
Deep Surrogate Assisted Generation of Environments	Unknown	PDF	N/A
Hierarchical Lattice Layer for Partially Monotone Neural Networks	Unknown	PDF	N/A
SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training	Unknown	PDF	N/A
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations	Unknown	PDF	N/A
Sample Constrained Treatment Effect Estimation	Unknown	PDF	N/A
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment	Unknown	PDF	N/A
Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width	Unknown	PDF	N/A
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation	Unknown	PDF	N/A
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model	Unknown	PDF	N/A
Single Loop Gaussian Homotopy Method for Non-convex Optimization	Unknown	PDF	N/A
GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations	Unknown	PDF	N/A
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning	Unknown	PDF	N/A
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence	Unknown	PDF	N/A
Reinforcement Learning with Neural Radiance Fields	Unknown	PDF	N/A
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents	Unknown	PDF	N/A
A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem	Unknown	PDF	N/A
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding	Unknown	PDF	N/A
Assistive Teaching of Motor Control Tasks to Humans	Unknown	PDF	N/A
Learning interacting dynamical systems with latent Gaussian process ODEs	Unknown	PDF	N/A
Provably expressive temporal graph networks	Unknown	PDF	N/A
A Universal Error Measure for Input Predictions Applied to Online Graph Problems	Unknown	PDF	N/A
On the difficulty of learning chaotic dynamics with RNNs	Unknown	PDF	N/A
Learning on the Edge: Online Learning with Stochastic Feedback Graphs	Unknown	PDF	N/A
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks	Unknown	PDF	N/A
Adjoint-aided inference of Gaussian process driven differential equations	Unknown	PDF	N/A
Subquadratic Kronecker Regression with Applications to Tensor Decomposition	Unknown	PDF	N/A
Post-hoc estimators for learning to defer to an expert	Unknown	PDF	N/A
Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games	Unknown	PDF	N/A
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods	Unknown	PDF	N/A
Discovered Policy Optimisation	Unknown	PDF	N/A
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity	Unknown	PDF	N/A
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG	Unknown	PDF	N/A
Convexity Certificates from Hessians	Unknown	PDF	N/A
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations	Unknown	PDF	N/A
Log-Linear-Time Gaussian Processes Using Binary Tree Kernels	Unknown	PDF	N/A
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples	Unknown	PDF	N/A
Continual Learning In Environments With Polynomial Mixing Times	Unknown	PDF	N/A
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives	Unknown	PDF	N/A
Algorithms and Hardness for Learning Linear Thresholds from Label Proportions	Unknown	PDF	N/A
Enhanced Meta Reinforcement Learning via Demonstrations in Sparse Reward Environments	Unknown	PDF	N/A
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training	Unknown	PDF	N/A
Transformer Memory as a Differentiable Search Index	Unknown	PDF	N/A
(De-)Randomized Smoothing for Decision Stump Ensembles	Unknown	PDF	N/A
Global Normalization for Streaming Speech Recognition in a Modular Framework	Unknown	PDF	N/A
Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques	Unknown	PDF	N/A
Learning Tractable Probabilistic Models from Inconsistent Local Estimates	Unknown	PDF	N/A
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering	Unknown	PDF	N/A
Normalizing Flows for Knockoff-free Controlled Feature Selection	Unknown	PDF	N/A
Debiased Machine Learning without Sample-Splitting for Stable Estimators	Unknown	PDF	N/A
Explicable Policy Search	Unknown	PDF	N/A
Robustness to Unbounded Smoothness of Generalized SignSGD	Unknown	PDF	N/A
Subgame Solving in Adversarial Team Games	Unknown	PDF	N/A
Autoregressive Perturbations for Data Poisoning	Unknown	PDF	N/A
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions	Unknown	PDF	N/A
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach	Unknown	PDF	N/A
TPU-KNN: K Nearest Neighbor Search at Peak FLOP/s	Unknown	PDF	N/A
Self-Aware Personalized Federated Learning	Unknown	PDF	N/A
Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment	Unknown	PDF	N/A
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models	Unknown	PDF	N/A
Nonstationary Dual Averaging and Online Fair Allocation	Unknown	PDF	N/A
Leveraging Inter-Layer Dependency for Post -Training Quantization	Unknown	PDF	N/A
FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction	Unknown	PDF	N/A
Learning Expressive Meta-Representations with Mixture of Expert Neural Processes	Unknown	PDF	N/A
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering	Unknown	PDF	N/A
Online Neural Sequence Detection with Hierarchical Dirichlet Point Process	Unknown	PDF	N/A
Exploring Figure-Ground Assignment Mechanism in Perceptual Organization	Unknown	PDF	N/A
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection	Unknown	PDF	N/A
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation	Unknown	PDF	N/A
Dual-Curriculum Contrastive Multi-Instance Learning for Cancer Prognosis Analysis with Whole Slide Images	Unknown	PDF	N/A
BadPrompt: Backdoor Attacks on Continuous Prompts	Unknown	PDF	N/A
Geodesic Self-Attention for 3D Point Clouds	Unknown	PDF	N/A
Learning Enhanced Representation for Tabular Data via Neighborhood Propagation	Unknown	PDF	N/A
Spectrum Random Masking for Generalization in Image-based Reinforcement Learning	Unknown	PDF	N/A
3DB: A Framework for Debugging Computer Vision Models	Unknown	PDF	N/A
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling	Unknown	PDF	N/A
Provable Generalization of Overparameterized Meta-learning Trained with SGD	Unknown	PDF	N/A
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training	Unknown	PDF	N/A
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation	Unknown	PDF	N/A
Reinforced Genetic Algorithm for Structure-based Drug Design	Unknown	PDF	N/A
Motion Transformer with Global Intention Localization and Local Movement Refinement	Unknown	PDF	N/A
Deep Fourier Up-Sampling	Unknown	PDF	N/A
FR: Folded Rationalization with a Unified Encoder	Unknown	PDF	N/A
Measures of Information Reflect Memorization Patterns	Unknown	PDF	N/A
Trading off Image Quality for Robustness is not Necessary with Regularized Deterministic Autoencoders	Unknown	PDF	N/A
CASA: Category-agnostic Skeletal Animal Reconstruction	Unknown	PDF	N/A
Learning Energy Networks with Generalized Fenchel-Young Losses	Unknown	PDF	N/A
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games	Unknown	PDF	N/A
Rethinking Image Restoration for Object Detection	Unknown	PDF	N/A
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models	Unknown	PDF	N/A
Modeling Human Exploration Through Resource-Rational Reinforcement Learning	Unknown	PDF	N/A
SignRFF: Sign Random Fourier Features	Unknown	PDF	N/A
Gradient Estimation with Discrete Stein Operators	Unknown	PDF	N/A
Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems	Unknown	PDF	N/A
Single-phase deep learning in cortico-cortical networks	Unknown	PDF	N/A
GraphQNTK: Quantum Neural Tangent Kernel for Graph Data	Unknown	PDF	N/A
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons	Unknown	PDF	N/A
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent	Unknown	PDF	N/A
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models	Unknown	PDF	N/A
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model	Unknown	PDF	N/A
An $\alpha$-regret analysis of Adversarial Bilateral Trade	Unknown	PDF	N/A
Intrinsic dimensionality estimation using Normalizing Flows	Unknown	PDF	N/A
Supervised Training of Conditional Monge Maps	Unknown	PDF	N/A
Drawing out of Distribution with Neuro-Symbolic Generative Models	Unknown	PDF	N/A
Sketching based Representations for Robust Image Classification with Provable Guarantees	Unknown	PDF	N/A
Learning low-dimensional generalizable natural features from retina using a U-net	Unknown	PDF	N/A
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome	Unknown	PDF	N/A
VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids	Unknown	PDF	N/A
Synergy-of-Experts: Collaborate to Improve Adversarial Robustness	Unknown	PDF	N/A
Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence	Unknown	PDF	N/A
Fast Bayesian Estimation of Point Process Intensity as Function of Covariates	Unknown	PDF	N/A
MOVE: Unsupervised Movable Object Segmentation and Detection	Unknown	PDF	N/A
Not All Bits have Equal Value: Heterogeneous Precisions via Trainable Noise	Unknown	PDF	N/A
Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)	Unknown	PDF	N/A
Training Spiking Neural Networks with Local Tandem Learning	Unknown	PDF	N/A
Unsupervised Skill Discovery via Recurrent Skill Training	Unknown	PDF	N/A
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations	Unknown	PDF	N/A
Fair Rank Aggregation	Unknown	PDF	N/A
Optimal Gradient Sliding and its Application to Optimal Distributed Optimization Under Similarity	Unknown	PDF	N/A
Contact-aware Human Motion Forecasting	Unknown	PDF	N/A
Non-rigid Point Cloud Registration with Neural Deformation Pyramid	Unknown	PDF	N/A
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis	Unknown	PDF	N/A
The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization	Unknown	PDF	N/A
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias	Unknown	PDF	N/A
Stability and Generalization of Kernel Clustering: from Single Kernel to Multiple Kernel	Unknown	PDF	N/A
Few-shot Relational Reasoning via Connection Subgraph Pretraining	Unknown	PDF	N/A
Alleviating Adversarial Attacks on Variational Autoencoders with MCMC	Unknown	PDF	N/A
Coreset for Line-Sets Clustering	Unknown	PDF	N/A
Fast Stochastic Composite Minimization and an Accelerated Frank-Wolfe Algorithm under Parallelization	Unknown	PDF	N/A
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness	Unknown	PDF	N/A
HF-NeuS: Improved Surface Reconstruction Using High-Frequency Details	Unknown	PDF	N/A
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning	Unknown	PDF	N/A
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection	Unknown	PDF	N/A
Byzantine Spectral Ranking	Unknown	PDF	N/A
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?	Unknown	PDF	N/A
On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks	Unknown	PDF	N/A
Evaluated CMI Bounds for Meta Learning: Tightness and Expressiveness	Unknown	PDF	N/A
SnAKe: Bayesian Optimization with Pathwise Exploration	Unknown	PDF	N/A
Random Rank: The One and Only Strategyproof and Proportionally Fair Randomized Facility Location Mechanism	Unknown	PDF	N/A
Resolving the data ambiguity for periodic crystals	Unknown	PDF	N/A
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion	Unknown	PDF	N/A
Coresets for Vertical Federated Learning: Regularized Linear Regression and $K$-Means Clustering	Unknown	PDF	N/A
Learning Predictions for Algorithms with Predictions	Unknown	PDF	N/A
Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution	Unknown	PDF	N/A
DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning	Unknown	PDF	N/A
Exploring through Random Curiosity with General Value Functions	Unknown	PDF	N/A
Equivariant Networks for Zero-Shot Coordination	Unknown	PDF	N/A
A PAC-Bayesian Generalization Bound for Equivariant Networks	Unknown	PDF	N/A
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables	Unknown	PDF	N/A
Pareto Set Learning for Expensive Multi-Objective Optimization	Unknown	PDF	N/A
Formalizing Consistency and Coherence of Representation Learning	Unknown	PDF	N/A
Compositional generalization through abstract representations in human and artificial neural networks	Unknown	PDF	N/A
The Sample Complexity of One-Hidden-Layer Neural Networks	Unknown	PDF	N/A
Diffusion Visual Counterfactual Explanations	Unknown	PDF	N/A
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget	Unknown	PDF	N/A
Pessimism for Offline Linear Contextual Bandits using $\ell_p$ Confidence Sets	Unknown	PDF	N/A
Assaying Out-Of-Distribution Generalization in Transfer Learning	Unknown	PDF	N/A
What are the best Systems? New Perspectives on NLP Benchmarking	Unknown	PDF	N/A
Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise	Unknown	PDF	N/A
Hardness in Markov Decision Processes: Theory and Practice	Unknown	PDF	N/A
Generalization Error Bounds on Deep Learning with Markov Datasets	Unknown	PDF	N/A
Information-Theoretic Safe Exploration with Gaussian Processes	Unknown	PDF	N/A
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design	Unknown	PDF	N/A
HierSpeech: Bridging the Gap between Text and Speech by Hierarchical Variational Inference using Self-supervised Representations for Speech Synthesis	Unknown	PDF	N/A
[Re] Replication Study of "Fairness and Bias in Online Selection"	Unknown	PDF	N/A
Triangulation candidates for Bayesian optimization	Unknown	PDF	N/A
Non-asymptotic and Accurate Learning of Nonlinear Dynamical Systems	Unknown	PDF	N/A
Washing The Unwashable : On The (Im)possibility of Fairwashing Detection	Unknown	PDF	N/A
No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation	Unknown	PDF	N/A
Adaptive Data Debiasing through Bounded Exploration	Unknown	PDF	N/A
Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization	Unknown	PDF	N/A
Toward a realistic model of speech processing in the brain with self-supervised learning	Unknown	PDF	N/A
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets	Unknown	PDF	N/A
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders	Unknown	PDF	N/A
Attention-based Neural Cellular Automata	Unknown	PDF	N/A
Sparse Additive Gaussian Process Regression	Unknown	PDF	N/A
Attraction-Repulsion Spectrum in Neighbor Embeddings	Unknown	PDF	N/A
Online Nonnegative CP-dictionary Learning for Markovian Data	Unknown	PDF	N/A
Decimated Framelet System on Graphs and Fast G-Framelet Transforms	Unknown	PDF	N/A
Multi-Agent Multi-Armed Bandits with Limited Communication	Unknown	PDF	N/A
Accelerated Zeroth-Order and First-Order Momentum Methods from Mini to Minimax Optimization	Unknown	PDF	N/A
Optimality and Stability in Non-Convex Smooth Games	Unknown	PDF	N/A
Deep Limits and a Cut-Off Phenomenon for Neural Networks	Unknown	PDF	N/A
Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing	Unknown	PDF	N/A
[Re] Differentiable Spatial Planning using Transformers	Unknown	PDF	N/A
All You Need is a Good Functional Prior for Bayesian Deep Learning	Unknown	PDF	N/A
Recovery and Generalization in Over-Realized Dictionary Learning	Unknown	PDF	N/A
Truncated Emphatic Temporal Difference Methods for Prediction and Control	Unknown	PDF	N/A
[Re] AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients	Unknown	PDF	N/A
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint	Unknown	PDF	N/A
[Re] Replication study of 'Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling'	Unknown	PDF	N/A
Learning Operators with Coupled Attention	Unknown	PDF	N/A
[Re] Solving Phase Retrieval With a Learned Reference	Unknown	PDF	N/A
[Re] Explaining in Style: Training a GAN to explain a classifier in StyleSpace	Unknown	PDF	N/A
DeepInteraction: 3D Object Detection via Modality Interaction	Unknown	PDF	N/A
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization	Unknown	PDF	N/A
SGAM: Building a Virtual 3D World through Simultaneous Generation and Mapping	Unknown	PDF	N/A
RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection	Unknown	PDF	N/A
Dense Interspecies Face Embedding	Unknown	PDF	N/A
Orthogonal Transformer: An Efficient Vision Transformer Backbone with Token Orthogonalization	Unknown	PDF	N/A
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup	Unknown	PDF	N/A
Rethinking Individual Global Max in Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Resource-Adaptive Federated Learning with All-In-One Neural Composition	Unknown	PDF	N/A
One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations	Unknown	PDF	N/A
Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation	Unknown	PDF	N/A
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses	Unknown	PDF	N/A
Uncoupled Learning Dynamics with $O(\log T)$ Swap Regret in Multiplayer Games	Unknown	PDF	N/A
Weak-shot Semantic Segmentation via Dual Similarity Transfer	Unknown	PDF	N/A
Effective Backdoor Defense by Exploiting Sensitivity of Poisoned Samples	Unknown	PDF	N/A
Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks	Unknown	PDF	N/A
OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport	Unknown	PDF	N/A
Positively Weighted Kernel Quadrature via Subsampling	Unknown	PDF	N/A
LASSIE: Learning Articulated Shapes from Sparse Image Ensemble via 3D Part Discovery	Unknown	PDF	N/A
A Kernelised Stein Statistic for Assessing Implicit Generative Models	Unknown	PDF	N/A
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance	Unknown	PDF	N/A
EpiGRAF: Rethinking training of 3D GANs	Unknown	PDF	N/A
Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets	Unknown	PDF	N/A
Optimal Efficiency-Envy Trade-Off via Optimal Transport	Unknown	PDF	N/A
Generating Long Videos of Dynamic Scenes	Unknown	PDF	N/A
Private Synthetic Data for Multitask Learning and Marginal Queries	Unknown	PDF	N/A
Graph Self-supervised Learning with Accurate Discrepancy Learning	Unknown	PDF	N/A
Independence Testing for Bounded Degree Bayesian Networks	Unknown	PDF	N/A
Tikhonov Regularization is Optimal Transport Robust under Martingale Constraints	Unknown	PDF	N/A
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time	Unknown	PDF	N/A
SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections	Unknown	PDF	N/A
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models	Unknown	PDF	N/A
Bayesian Persuasion for Algorithmic Recourse	Unknown	PDF	N/A
Deep Hierarchical Planning from Pixels	Unknown	PDF	N/A
Noise Attention Learning: Enhancing Noise Robustness by Gradient Scaling	Unknown	PDF	N/A
Neural Basis Models for Interpretability	Unknown	PDF	N/A
Hierarchical classification at multiple operating points	Unknown	PDF	N/A
Information-Theoretic GAN Compression with Variational Energy-based Model	Unknown	PDF	N/A
Redistribution of Weights and Activations for AdderNet Quantization	Unknown	PDF	N/A
Deep invariant networks with differentiable augmentation layers	Unknown	PDF	N/A
Convergence beyond the over-parameterized regime using Rayleigh quotients	Unknown	PDF	N/A
Robust $\phi$-Divergence MDPs	Unknown	PDF	N/A
ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery	Unknown	PDF	N/A
On Privacy and Personalization in Cross-Silo Federated Learning	Unknown	PDF	N/A
Differentially Private Covariance Revisited	Unknown	PDF	N/A
Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds	Unknown	PDF	N/A
Distributional Convergence of the Sliced Wasserstein Process	Unknown	PDF	N/A
Homomorphic Matrix Completion	Unknown	PDF	N/A
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation	Unknown	PDF	N/A
On the Identifiability of Nonlinear ICA: Sparsity and Beyond	Unknown	PDF	N/A
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation	Unknown	PDF	N/A
Towards Diverse and Faithful One-shot Adaption of Generative Adversarial Networks	Unknown	PDF	N/A
Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention	Unknown	PDF	N/A
Efficient Sampling on Riemannian Manifolds via Langevin MCMC	Unknown	PDF	N/A
ATD: Augmenting CP Tensor Decomposition by Self Supervision	Unknown	PDF	N/A
Imitating Past Successes can be Very Suboptimal	Unknown	PDF	N/A
RKHS-SHAP: Shapley Values for Kernel Methods	Unknown	PDF	N/A
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems	Unknown	PDF	N/A
On Scalable Testing of Samplers	Unknown	PDF	N/A
Markovian Interference in Experiments	Unknown	PDF	N/A
DP-PCA: Statistically Optimal and Differentially Private PCA	Unknown	PDF	N/A
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning	Unknown	PDF	N/A
Continual learning: a feature extraction formalization, an efficient algorithm, and fundamental obstructions	Unknown	PDF	N/A
Functional Ensemble Distillation	Unknown	PDF	N/A
Self-explaining deep models with logic rule reasoning	Unknown	PDF	N/A
Benign Underfitting of Stochastic Gradient Descent	Unknown	PDF	N/A
Modeling the Machine Learning Multiverse	Unknown	PDF	N/A
Stability Analysis and Generalization Bounds of Adversarial Training	Unknown	PDF	N/A
Exact Shape Correspondence via 2D graph convolution	Unknown	PDF	N/A
A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning	Unknown	PDF	N/A
How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents	Unknown	PDF	N/A
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models	Unknown	PDF	N/A
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks	Unknown	PDF	N/A
Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality	Unknown	PDF	N/A
Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime	Unknown	PDF	N/A
First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data	Unknown	PDF	N/A
Universal Rates for Interactive Learning	Unknown	PDF	N/A
DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery	Unknown	PDF	N/A
Single-Stage Visual Relationship Learning using Conditional Queries	Unknown	PDF	N/A
Pruning has a disparate impact on model accuracy	Unknown	PDF	N/A
Teacher Forcing Recovers Reward Functions for Text Generation	Unknown	PDF	N/A
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity	Unknown	PDF	N/A
Optimal Dynamic Regret in LQR Control	Unknown	PDF	N/A
Generalization Gap in Amortized Inference	Unknown	PDF	N/A
Near-Optimal Private and Scalable $k$-Clustering	Unknown	PDF	N/A
Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners	Unknown	PDF	N/A
Hedging as Reward Augmentation in Probabilistic Graphical Models	Unknown	PDF	N/A
Training Subset Selection for Weak Supervision	Unknown	PDF	N/A
Online Reinforcement Learning for Mixed Policy Scopes	Unknown	PDF	N/A
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize	Unknown	PDF	N/A
Your Out-of-Distribution Detection Method is Not Robust!	Unknown	PDF	N/A
An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries	Unknown	PDF	N/A
Communication-Efficient Topologies for Decentralized Learning with $O(1)$ Consensus Rate	Unknown	PDF	N/A
Rethinking the Reverse-engineering of Trojan Triggers	Unknown	PDF	N/A
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets	Unknown	PDF	N/A
On the Epistemic Limits of Personalized Prediction	Unknown	PDF	N/A
Learning to Mitigate AI Collusion on Economic Platforms	Unknown	PDF	N/A
STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers	Unknown	PDF	N/A
Masked Autoencoding for Scalable and Generalizable Decision Making	Unknown	PDF	N/A
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs	Unknown	PDF	N/A
DiSC: Differential Spectral Clustering of Features	Unknown	PDF	N/A
Personalized Online Federated Learning with Multiple Kernels	Unknown	PDF	N/A
Patching open-vocabulary models by interpolating weights	Unknown	PDF	N/A
Concrete Score Matching: Generalized Score Matching for Discrete Data	Unknown	PDF	N/A
LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank	Unknown	PDF	N/A
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining	Unknown	PDF	N/A
Focal Modulation Networks	Unknown	PDF	N/A
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning	Unknown	PDF	N/A
Exploitability Minimization in Games and Beyond	Unknown	PDF	N/A
FeLMi : Few shot Learning with hard Mixup	Unknown	PDF	N/A
The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization	Unknown	PDF	N/A
On Optimal Learning Under Targeted Data Poisoning	Unknown	PDF	N/A
The computational and learning benefits of Daleian neural networks	Unknown	PDF	N/A
Support Recovery in Sparse PCA with Incomplete Data	Unknown	PDF	N/A
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo	Unknown	PDF	N/A
Private Isotonic Regression	Unknown	PDF	N/A
Do Residual Neural Networks discretize Neural Ordinary Differential Equations?	Unknown	PDF	N/A
Continuous MDP Homomorphisms and Homomorphic Policy Gradient	Unknown	PDF	N/A
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks	Unknown	PDF	N/A
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning	Unknown	PDF	N/A
Constrained GPI for Zero-Shot Transfer in Reinforcement Learning	Unknown	PDF	N/A
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution	Unknown	PDF	N/A
A Boosting Approach to Reinforcement Learning	Unknown	PDF	N/A
DataMUX: Data Multiplexing for Neural Networks	Unknown	PDF	N/A
Are Defenses for Graph Neural Networks Robust?	Unknown	PDF	N/A
Adversarial Robustness is at Odds with Lazy Training	Unknown	PDF	N/A
Robust Reinforcement Learning using Offline Data	Unknown	PDF	N/A
Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits	Unknown	PDF	N/A
Fine-tuning language models to find agreement among humans with diverse preferences	Unknown	PDF	N/A
Tsetlin Machine for Solving Contextual Bandit Problems	Unknown	PDF	N/A
Multi-Class $H$-Consistency Bounds	Unknown	PDF	N/A
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances	Unknown	PDF	N/A
Lifting Weak Supervision To Structured Prediction	Unknown	PDF	N/A
Learning Concept Credible Models for Mitigating Shortcuts	Unknown	PDF	N/A
LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning	Unknown	PDF	N/A
Disentangling Transfer in Continual Reinforcement Learning	Unknown	PDF	N/A
Distinguishing discrete and continuous behavioral variability using warped autoregressive HMMs	Unknown	PDF	N/A
Off-Team Learning	Unknown	PDF	N/A
LAMP: Extracting Text from Gradients with Language Model Priors	Unknown	PDF	N/A
4D Unsupervised Object Discovery	Unknown	PDF	N/A
Bayesian subset selection and variable importance for interpretable prediction and classification	Unknown	PDF	N/A
Unifying Voxel-based Representation with Transformer for 3D Object Detection	Unknown	PDF	N/A
Multi-Scale Adaptive Network for Single Image Denoising	Unknown	PDF	N/A
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors	Unknown	PDF	N/A
Efficient Graph Similarity Computation with Alignment Regularization	Unknown	PDF	N/A
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering	Unknown	PDF	N/A
Falconn++: A Locality-sensitive Filtering Approach for Approximate Nearest Neighbor Search	Unknown	PDF	N/A
Natural image synthesis for the retina with variational information bottleneck representation	Unknown	PDF	N/A
A Lower Bound of Hash Codes' Performance	Unknown	PDF	N/A
I2Q: A Fully Decentralized Q-Learning Algorithm	Unknown	PDF	N/A
Shadow Knowledge Distillation: Bridging Offline and Online Knowledge Transfer	Unknown	PDF	N/A
A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal Retrieval	Unknown	PDF	N/A
Heterogeneous Skill Learning for Multi-agent Tasks	Unknown	PDF	N/A
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks	Unknown	PDF	N/A
Model-Based Opponent Modeling	Unknown	PDF	N/A
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture	Unknown	PDF	N/A
Learning Invariant Graph Representations for Out-of-Distribution Generalization	Unknown	PDF	N/A
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation	Unknown	PDF	N/A
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction	Unknown	PDF	N/A
Wasserstein Iterative Networks for Barycenter Estimation	Unknown	PDF	N/A
Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness	Unknown	PDF	N/A
Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability	Unknown	PDF	N/A
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification	Unknown	PDF	N/A
Pre-trained Adversarial Perturbations	Unknown	PDF	N/A
Conformal Frequency Estimation with Sketched Data	Unknown	PDF	N/A
Convergent Representations of Computer Programs in Human and Artificial Neural Networks	Unknown	PDF	N/A
tntorch: Tensor Network Learning with PyTorch	Unknown	PDF	N/A
Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization	Unknown	PDF	N/A
Joint Entropy Search for Multi-Objective Bayesian Optimization	Unknown	PDF	N/A
Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding	Unknown	PDF	N/A
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models	Unknown	PDF	N/A
Language Conditioned Spatial Relation Reasoning for 3D Object Grounding	Unknown	PDF	N/A
[Re] Projection-based Algorithm for Updating the TruncatedSVD of Evolving Matrices	Unknown	PDF	N/A
Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network	Unknown	PDF	N/A
Audio-Driven Co-Speech Gesture Video Generation	Unknown	PDF	N/A
Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift	Unknown	PDF	N/A
On the role of overparameterization in off-policy Temporal Difference learning with linear function approximation	Unknown	PDF	N/A
Quantized Training of Gradient Boosting Decision Trees	Unknown	PDF	N/A
InterpretDL: Explaining Deep Models in PaddlePaddle	Unknown	PDF	N/A
Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits	Unknown	PDF	N/A
A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review	Unknown	PDF	N/A
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data	Unknown	PDF	N/A
D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data	Unknown	PDF	N/A
Supervised Dimensionality Reduction and Visualization using Centroid-Encoder	Unknown	PDF	N/A
Foolish Crowds Support Benign Overfitting	Unknown	PDF	N/A
Rethinking Nonlinear Instrumental Variable Models through Prediction Validity	Unknown	PDF	N/A
[Re] Reproduction and Extension of "Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation"	Unknown	PDF	N/A
[Re] An Implementation of Fair Robust Learning	Unknown	PDF	N/A
GAMA: Generative Adversarial Multi-Object Scene Attacks	Unknown	PDF	N/A
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training	Unknown	PDF	N/A
An Empirical Study on Disentanglement of Negative-free Contrastive Learning	Unknown	PDF	N/A
Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations	Unknown	PDF	N/A
Bayesian Risk Markov Decision Processes	Unknown	PDF	N/A
SHINE: SubHypergraph Inductive Neural nEtwork	Unknown	PDF	N/A
Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning	Unknown	PDF	N/A
Non-deep Networks	Unknown	PDF	N/A
Feature-Proxy Transformer for Few-Shot Segmentation	Unknown	PDF	N/A
Estimating and Explaining Model Performance When Both Covariates and Labels Shift	Unknown	PDF	N/A
The alignment property of SGD noise and how it helps select flat minima: A stability analysis	Unknown	PDF	N/A
Thompson Sampling Efficiently Learns to Control Diffusion Processes	Unknown	PDF	N/A
Fair and Efficient Allocations Without Obvious Manipulations	Unknown	PDF	N/A
Fuzzy Learning Machine	Unknown	PDF	N/A
ASPiRe: Adaptive Skill Priors for Reinforcement Learning	Unknown	PDF	N/A
Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge	Unknown	PDF	N/A
Explainability Via Causal Self-Talk	Unknown	PDF	N/A
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation	Unknown	PDF	N/A
Causal Identification under Markov equivalence: Calculus, Algorithm, and Completeness	Unknown	PDF	N/A
Random Normalization Aggregation for Adversarial Defense	Unknown	PDF	N/A
Size and depth of monotone neural networks: interpolation and approximation	Unknown	PDF	N/A
Spartan: Differentiable Sparsity via Regularized Transportation	Unknown	PDF	N/A
On Gap-dependent Bounds for Offline Reinforcement Learning	Unknown	PDF	N/A
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution	Unknown	PDF	N/A
Accelerated Projected Gradient Algorithms for Sparsity Constrained Optimization Problems	Unknown	PDF	N/A
Context-Based Dynamic Pricing with Partially Linear Demand Model	Unknown	PDF	N/A
S-PIFu: Integrating Parametric Human Models with PIFu for Single-view Clothed Human Reconstruction	Unknown	PDF	N/A
Action-modulated midbrain dopamine activity arises from distributed control policies	Unknown	PDF	N/A
NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis	Unknown	PDF	N/A
Bezier Gaussian Processes for Tall and Wide Data	Unknown	PDF	N/A
Minimax Regret for Cascading Bandits	Unknown	PDF	N/A
Pre-activation Distributions Expose Backdoor Neurons	Unknown	PDF	N/A
Posterior Matching for Arbitrary Conditioning	Unknown	PDF	N/A
Alternating Mirror Descent for Constrained Min-Max Games	Unknown	PDF	N/A
Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks	Unknown	PDF	N/A
Foundation Posteriors for Approximate Probabilistic Inference	Unknown	PDF	N/A
Entropy-Driven Mixed-Precision Quantization for Deep Network Design	Unknown	PDF	N/A
Denoising Diffusion Restoration Models	Unknown	PDF	N/A
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms	Unknown	PDF	N/A
A Combinatorial Perspective on the Optimization of Shallow ReLU Networks	Unknown	PDF	N/A
A Lagrangian Duality Approach to Active Learning	Unknown	PDF	N/A
A Statistical Online Inference Approach in Averaged Stochastic Approximation	Unknown	PDF	N/A
Theoretical analysis of deep neural networks for temporally dependent observations	Unknown	PDF	N/A
On the Complexity of Adversarial Decision Making	Unknown	PDF	N/A
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees	Unknown	PDF	N/A
Uncovering the Structural Fairness in Graph Contrastive Learning	Unknown	PDF	N/A
ULNeF: Untangled Layered Neural Fields for Mix-and-Match Virtual Try-On	Unknown	PDF	N/A
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces	Unknown	PDF	N/A
Better Uncertainty Calibration via Proper Scores for Classification and Beyond	Unknown	PDF	N/A
Augmenting Online Algorithms with $\varepsilon$-Accurate Predictions	Unknown	PDF	N/A
Asymptotics of $\ell_2$ Regularized Network Embeddings	Unknown	PDF	N/A
Deep Counterfactual Estimation with Categorical Background Variables	Unknown	PDF	N/A
What is a Good Metric to Study Generalization of Minimax Learners?	Unknown	PDF	N/A
Non-Convex Bilevel Games with Critical Point Selection Maps	Unknown	PDF	N/A
The Franz-Parisi Criterion and Computational Trade-offs in High Dimensional Statistics	Unknown	PDF	N/A
Provable Defense against Backdoor Policies in Reinforcement Learning	Unknown	PDF	N/A
IMED-RL: Regret optimal learning of ergodic Markov decision processes	Unknown	PDF	N/A
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions	Unknown	PDF	N/A
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases	Unknown	PDF	N/A
Distributed Learning of Finite Gaussian Mixtures	Unknown	PDF	N/A
[Re] Reproducibility Report: Contrastive Learning of Socially-aware Motion Representations	Unknown	PDF	N/A
[Re] GANSpace: Discovering Interpretable GAN Controls	Unknown	PDF	N/A
[Re] Reproducibility Study of “Counterfactual Generative Networks”	Unknown	PDF	N/A
[Re] Does Self-Supervision Always Improve Few-Shot Learning?	Unknown	PDF	N/A
On Kernelized Multi-Armed Bandits with Constraints	Unknown	PDF	N/A
A Nonconvex Framework for Structured Dynamic Covariance Recovery	Unknown	PDF	N/A
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation	Unknown	PDF	N/A
CoupAlign: Coupling Word-Pixel with Sentence-Mask Alignments for Referring Image Segmentation	Unknown	PDF	N/A
Fast and Robust Rank Aggregation against Model Misspecification	Unknown	PDF	N/A
Poisson Flow Generative Models	Unknown	PDF	N/A
Boosting Out-of-distribution Detection with Typical Features	Unknown	PDF	N/A
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models	Unknown	PDF	N/A
Conditional Diffusion Process for Inverse Halftoning	Unknown	PDF	N/A
Knowledge Distillation from A Stronger Teacher	Unknown	PDF	N/A
Dynamic pricing and assortment under a contextual MNL demand	Unknown	PDF	N/A
Temporal Effective Batch Normalization in Spiking Neural Networks	Unknown	PDF	N/A
[Re] Replication Study of "Fairness and Bias in Online Selection"	Unknown	PDF	N/A
The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model	Unknown	PDF	N/A
Neural Transmitted Radiance Fields	Unknown	PDF	N/A
🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation	Unknown	PDF	N/A
[Re] Exacerbating Algorithmic Bias through Fairness Attacks	Unknown	PDF	N/A
Transfer Learning in Information Criteria-based Feature Selection	Unknown	PDF	N/A
Learning with little mixing	Unknown	PDF	N/A
Fairness-Aware PAC Learning from Corrupted Data	Unknown	PDF	N/A
Online Frank-Wolfe with Arbitrary Delays	Unknown	PDF	N/A
Online Allocation and Learning in the Presence of Strategic Agents	Unknown	PDF	N/A
Weisfeiler and Leman Go Walking: Random Walk Kernels Revisited	Unknown	PDF	N/A
Sufficient reductions in regression with mixed predictors	Unknown	PDF	N/A
Optimal Query Complexities for Dynamic Trace Estimation	Unknown	PDF	N/A
Understanding Benign Overfitting in Gradient-Based Meta Learning	Unknown	PDF	N/A
Generalised Mutual Information for Discriminative Clustering	Unknown	PDF	N/A
Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks	Unknown	PDF	N/A
ShuffleMixer: An Efficient ConvNet for Image Super-Resolution	Unknown	PDF	N/A
Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits	Unknown	PDF	N/A
[Re] Strategic classification made practical: reproduction	Unknown	PDF	N/A
Communication-efficient distributed eigenspace estimation with arbitrary node failures	Unknown	PDF	N/A
Generalised Implicit Neural Representations	Unknown	PDF	N/A
AttCAT: Explaining Transformers via Attentive Class Activation Tokens	Unknown	PDF	N/A
[Re] Explaining in Style: Training a GAN to explain a classifier in StyleSpace	Unknown	PDF	N/A
Score-Based Generative Models Detect Manifolds	Unknown	PDF	N/A
Geodesic Graph Neural Network for Efficient Graph Representation Learning	Unknown	PDF	N/A
[Re] Nondeterminism and Instability in Neural Network Optimization	Unknown	PDF	N/A
Diffusion-based Molecule Generation with Informative Prior Bridges	Unknown	PDF	N/A
[Re] Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction	Unknown	PDF	N/A
The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks	Unknown	PDF	N/A
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks	Unknown	PDF	N/A
Provably sample-efficient RL with side information about latent dynamics	Unknown	PDF	N/A
Signal Processing for Implicit Neural Representations	Unknown	PDF	N/A
Embrace the Gap: VAEs Perform Independent Mechanism Analysis	Unknown	PDF	N/A
Exponential Separations in Symmetric Neural Networks	Unknown	PDF	N/A
[Re] Understanding Self-Supervised Learning Dynamics without Contrastive Pairs	Unknown	PDF	N/A
[Re] Exacerbating Algorithmic Bias through Fairness Attacks	Unknown	PDF	N/A
Transformers from an Optimization Perspective	Unknown	PDF	N/A
(f,Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics	Unknown	PDF	N/A
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies	Unknown	PDF	N/A
[Re] Transparent Object Tracking Benchmark	Unknown	PDF	N/A
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees	Unknown	PDF	N/A
[Re] Graph Edit Networks	Unknown	PDF	N/A
[Re] Reproduction Study of Variational Fair Clustering	Unknown	PDF	N/A
BR-SNIS: Bias Reduced Self-Normalized Importance Sampling	Unknown	PDF	N/A
Fair and Optimal Decision Trees: A Dynamic Programming Approach	Unknown	PDF	N/A
Brain Network Transformer	Unknown	PDF	N/A
Learning to Navigate Wikipedia by Taking Random Walks	Unknown	PDF	N/A
The Neural Testbed: Evaluating Joint Predictions	Unknown	PDF	N/A
A Bregman Learning Framework for Sparse Neural Networks	Unknown	PDF	N/A
[Re] Learning to count everything	Unknown	PDF	N/A
On the Double Descent of Random Features Models Trained with SGD	Unknown	PDF	N/A

NIPS 2023

Title	Author	PDF_Link	Code_URL
SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models	Unknown	PDF	N/A
Gacs-Korner Common Information Variational Autoencoder	Unknown	PDF	N/A
Experimental Designs for Heteroskedastic Variance	Unknown	PDF	N/A
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments	Unknown	PDF	N/A
Equal Opportunity of Coverage in Fair Regression	Unknown	PDF	N/A
Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs	Unknown	PDF	N/A
Differentiable sorting for censored time-to-event data.	Unknown	PDF	N/A
On the Role of Randomization in Adversarially Robust Classification	Unknown	PDF	N/A
Polyhedron Attention Module: Learning Adaptive-order Interactions	Unknown	PDF	N/A
On the Robustness of Removal-Based Feature Attributions	Unknown	PDF	N/A
Equivariant Single View Pose Prediction Via Induced and Restriction Representations	Unknown	PDF	N/A
Is RLHF More Difficult than Standard RL? A Theoretical Perspective	Unknown	PDF	N/A
Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice	Unknown	PDF	N/A
Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features	Unknown	PDF	N/A
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems	Unknown	PDF	N/A
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis	Unknown	PDF	N/A
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting	Unknown	PDF	N/A
Label Poisoning is All You Need	Unknown	PDF	N/A
Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives	Unknown	PDF	N/A
Equivariant Adaptation of Large Pretrained Models	Unknown	PDF	N/A
Exploring Geometry of Blind Spots in Vision models	Unknown	PDF	N/A
Are aligned neural networks adversarially aligned?	Unknown	PDF	N/A
SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning	Unknown	PDF	N/A
End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes	Unknown	PDF	N/A
Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention	Unknown	PDF	N/A
Improvements on Uncertainty Quantification for Node Classification via Distance Based Regularization	Unknown	PDF	N/A
Relax, it doesn’t matter how you get there: A new self-supervised approach for multi-timescale behavior analysis	Unknown	PDF	N/A
Spatial-frequency channels, shape bias, and adversarial robustness	Unknown	PDF	N/A
$\varepsilon$-fractional core stability in Hedonic Games.	Unknown	PDF	N/A
Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations	Unknown	PDF	N/A
Language Model Alignment with Elastic Reset	Unknown	PDF	N/A
Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence	Unknown	PDF	N/A
Understanding Deep Gradient Leakage via Inversion Influence Functions	Unknown	PDF	N/A
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment	Unknown	PDF	N/A
Joint Prompt Optimization of Stacked LLMs using Variational Inference	Unknown	PDF	N/A
PROTES: Probabilistic Optimization with Tensor Sampling	Unknown	PDF	N/A
A unified framework for information-theoretic generalization bounds	Unknown	PDF	N/A
The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation	Unknown	PDF	N/A
Variational Gaussian processes for linear inverse problems	Unknown	PDF	N/A
Enhancing CLIP with CLIP: Exploring Pseudolabeling for Limited-Label Prompt Tuning	Unknown	PDF	N/A
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction	Unknown	PDF	N/A
First Order Stochastic Optimization with Oblivious Noise	Unknown	PDF	N/A
Direct Preference Optimization: Your Language Model is Secretly a Reward Model	Unknown	PDF	N/A
Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels	Unknown	PDF	N/A
Intrinsic Dimension Estimation for Robust Detection of AI-Generated Texts	Unknown	PDF	N/A
Sharp Recovery Thresholds of Tensor PCA Spectral Algorithms	Unknown	PDF	N/A
Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model	Unknown	PDF	N/A
Convex and Non-convex Optimization Under Generalized Smoothness	Unknown	PDF	N/A
Reflexion: language agents with verbal reinforcement learning	Unknown	PDF	N/A
Ordering-based Conditions for Global Convergence of Policy Gradient Methods	Unknown	PDF	N/A
Topology-Aware Uncertainty for Image Segmentation	Unknown	PDF	N/A
Fast and Simple Spectral Clustering in Theory and Practice	Unknown	PDF	N/A
Information Geometry of the Retinal Representation Manifold	Unknown	PDF	N/A
Smooth, exact rotational symmetrization for deep learning on point clouds	Unknown	PDF	N/A
Convergence of Adam Under Relaxed Assumptions	Unknown	PDF	N/A
Latent SDEs on Homogeneous Spaces	Unknown	PDF	N/A
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization	Unknown	PDF	N/A
Bicriteria Approximation Algorithms for the Submodular Cover Problem	Unknown	PDF	N/A
Neural Sampling in Hierarchical Exponential-family Energy-based Models	Unknown	PDF	N/A
On Separate Normalization in Self-supervised Transformers	Unknown	PDF	N/A
Tester-Learners for Halfspaces: Universal Algorithms	Unknown	PDF	N/A
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach	Unknown	PDF	N/A
Online List Labeling with Predictions	Unknown	PDF	N/A
Energy-based learning algorithms for analog computing: a comparative study	Unknown	PDF	N/A
Outlier-Robust Wasserstein DRO	Unknown	PDF	N/A
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks	Unknown	PDF	N/A
Conformal Prediction Sets for Ordinal Classification	Unknown	PDF	N/A
Graph of Circuits with GNN for Exploring the Optimal Design Space	Unknown	PDF	N/A
Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems	Unknown	PDF	N/A
Online learning of long-range dependencies	Unknown	PDF	N/A
ExPT: Synthetic Pretraining for Few-Shot Experimental Design	Unknown	PDF	N/A
Incentivized Communication for Federated Bandits	Unknown	PDF	N/A
Learning Provably Robust Estimators for Inverse Problems via Jittering	Unknown	PDF	N/A
On the Exploitability of Instruction Tuning	Unknown	PDF	N/A
Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift	Unknown	PDF	N/A
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows	Unknown	PDF	N/A
Human spatiotemporal pattern learning as probabilistic program synthesis	Unknown	PDF	N/A
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement	Unknown	PDF	N/A
Quantification of Uncertainty with Adversarial Models	Unknown	PDF	N/A
Are Vision Transformers More Data Hungry Than Newborn Visual Systems?	Unknown	PDF	N/A
$\textbf{A}^2\textbf{CiD}^2$: Accelerating Asynchronous Communication in Decentralized Deep Learning	Unknown	PDF	N/A
Correlation Aware Sparsified Mean Estimation Using Random Projection	Unknown	PDF	N/A
Provably Efficient Offline Reinforcement Learning in Regular Decision Processes	Unknown	PDF	N/A
SHAP-IQ: Unified Approximation of any-order Shapley Interactions	Unknown	PDF	N/A
Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning	Unknown	PDF	N/A
Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings	Unknown	PDF	N/A
Topological Obstructions and How to Avoid Them	Unknown	PDF	N/A
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks	Unknown	PDF	N/A
Generalized test utilities for long-tail performance in extreme multi-label classification	Unknown	PDF	N/A
Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning	Unknown	PDF	N/A
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent	Unknown	PDF	N/A
What is the Inductive Bias of Flatness Regularization? A Study of Deep Matrix Factorization Models	Unknown	PDF	N/A
Tree-Rings Watermarks: Invisible Fingerprints for Diffusion Images	Unknown	PDF	N/A
Optimality of Message-Passing Architectures for Sparse Graphs	Unknown	PDF	N/A
Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming	Unknown	PDF	N/A
Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception	Unknown	PDF	N/A
Accelerating Exploration with Unlabeled Prior Data	Unknown	PDF	N/A
Accessing Higher Dimensions for Unsupervised Word Translation	Unknown	PDF	N/A
D-CIPHER: Discovery of Closed-form Partial Differential Equations	Unknown	PDF	N/A
Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery	Unknown	PDF	N/A
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification	Unknown	PDF	N/A
Reversible and irreversible bracket-based dynamics for deep graph neural networks	Unknown	PDF	N/A
UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field	Unknown	PDF	N/A
Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures	Unknown	PDF	N/A
Training on Foveated Images Improves Robustness to Adversarial Attacks	Unknown	PDF	N/A
Towards Combinatorial Generalization for Catalysts: A Kohn-Sham Charge-Density Approach	Unknown	PDF	N/A
Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation	Unknown	PDF	N/A
A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs	Unknown	PDF	N/A
Creating a Public Repository for Joining Private Data	Unknown	PDF	N/A
Can semi-supervised learning use all the data effectively? A lower bound perspective	Unknown	PDF	N/A
Learning Reliable Logical Rules with SATNet	Unknown	PDF	N/A
A Unified Approach for Maximizing Continuous DR-submodular Functions	Unknown	PDF	N/A
Hardware Resilience Properties of Text-Guided Image Classifiers	Unknown	PDF	N/A
Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games	Unknown	PDF	N/A
Direct Preference-based Policy Optimization without Reward Modeling	Unknown	PDF	N/A
Faster Query Times for Fully Dynamic $k$-Center Clustering with Outliers	Unknown	PDF	N/A
Physics-Informed Bayesian Optimization of Variational Quantum Circuits	Unknown	PDF	N/A
Why Does Sharpness-Aware Minimization Generalize Better Than SGD?	Unknown	PDF	N/A
Attention as Implicit Structural Inference	Unknown	PDF	N/A
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs	Unknown	PDF	N/A
Transportability for Bandits with Data from Different Environments	Unknown	PDF	N/A
FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression	Unknown	PDF	N/A
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects	Unknown	PDF	N/A
A Unified Model and Dimension for Interactive Estimation	Unknown	PDF	N/A
Towards In-context Scene Understanding	Unknown	PDF	N/A
Should Under-parameterized Student Networks Copy or Average Teacher Weights?	Unknown	PDF	N/A
Memory Efficient Optimizers with 4-bit States	Unknown	PDF	N/A
A Robust Exact Algorithm for the Euclidean Bipartite Matching Problem	Unknown	PDF	N/A
Quantum speedups for stochastic optimization	Unknown	PDF	N/A
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization	Unknown	PDF	N/A
Convergence Analysis of Sequential Federated Learning on Heterogeneous Data	Unknown	PDF	N/A
Convergence of Alternating Gradient Descent for Matrix Factorization	Unknown	PDF	N/A
Optimal Rates for Bandit Nonstochastic Control	Unknown	PDF	N/A
Causal Effect Identification in Uncertain Causal Networks	Unknown	PDF	N/A
Robust Bayesian Satisficing	Unknown	PDF	N/A
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation	Unknown	PDF	N/A
Incentives in Federated Learning: Equilibria, Dynamics, and Mechanisms for Welfare Maximization	Unknown	PDF	N/A
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning	Unknown	PDF	N/A
CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference	Unknown	PDF	N/A
GLIME: General, Stable and Local LIME Explanation	Unknown	PDF	N/A
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting	Unknown	PDF	N/A
Robust and Actively Secure Serverless Collaborative Learning	Unknown	PDF	N/A
Learning to Influence Human Behavior with Offline Reinforcement Learning	Unknown	PDF	N/A
MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates	Unknown	PDF	N/A
Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image	Unknown	PDF	N/A
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection	Unknown	PDF	N/A
Federated Linear Bandits with Finite Adversarial Actions	Unknown	PDF	N/A
Recommender Systems with Generative Retrieval	Unknown	PDF	N/A
Interaction Measures, Partition Lattices and Kernel Tests for High-Order Interactions	Unknown	PDF	N/A
Learning to Modulate pre-trained Models in RL	Unknown	PDF	N/A
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations	Unknown	PDF	N/A
The Rashomon Importance Distribution: Getting RID of Unstable, Single Model-based Variable Importance	Unknown	PDF	N/A
Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks	Unknown	PDF	N/A
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games	Unknown	PDF	N/A
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee	Unknown	PDF	N/A
PDP: Parameter-free Differentiable Pruning is All You Need	Unknown	PDF	N/A
StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation	Unknown	PDF	N/A
Efficient Beam Tree Recursion	Unknown	PDF	N/A
Projection-Free Online Convex Optimization via Efficient Newton Iterations	Unknown	PDF	N/A
Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons	Unknown	PDF	N/A
On the Size and Approximation Error of Distilled Datasets	Unknown	PDF	N/A
Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments	Unknown	PDF	N/A
Structured Neural Networks for Density Estimation and Causal Inference	Unknown	PDF	N/A
Reusable Slotwise Mechanisms	Unknown	PDF	N/A
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation	Unknown	PDF	N/A
A generative model of the hippocampal formation trained with theta driven local learning rules	Unknown	PDF	N/A
The Bayesian Stability Zoo	Unknown	PDF	N/A
Ignorance is Bliss: Robust Control via Information Gating	Unknown	PDF	N/A
Double Gumbel Q-Learning	Unknown	PDF	N/A
Optimistic Meta-Gradients	Unknown	PDF	N/A
Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability	Unknown	PDF	N/A
Learning Mixtures of Gaussians Using the DDPM Objective	Unknown	PDF	N/A
Scalable Transformer for PDE Surrogate Modeling	Unknown	PDF	N/A
Spatio-Angular Convolutions for Super-resolution in Diffusion MRI	Unknown	PDF	N/A
A Privacy-Friendly Approach to Data Valuation	Unknown	PDF	N/A
Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits	Unknown	PDF	N/A
Pruning vs Quantization: Which is Better?	Unknown	PDF	N/A
Common Ground in Cooperative Communication	Unknown	PDF	N/A
Scalable Fair Influence Maximization	Unknown	PDF	N/A
Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms	Unknown	PDF	N/A
Multiclass Boosting: Simple and Intuitive Weak Learning Criteria	Unknown	PDF	N/A
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms	Unknown	PDF	N/A
MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy	Unknown	PDF	N/A
Reverse Engineering Self-Supervised Learning	Unknown	PDF	N/A
Model-Free Reinforcement Learning with the Decision-Estimation Coefficient	Unknown	PDF	N/A
Accelerating Molecular Graph Neural Networks via Knowledge Distillation	Unknown	PDF	N/A
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder	Unknown	PDF	N/A
Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search	Unknown	PDF	N/A
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models	Unknown	PDF	N/A
Partial Matrix Completion	Unknown	PDF	N/A
Decision-Aware Actor-Critic with Function Approximation and Theoretical Guarantees	Unknown	PDF	N/A
Group Fairness in Peer Review	Unknown	PDF	N/A
Improved Frequency Estimation Algorithms with and without Predictions	Unknown	PDF	N/A
Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows	Unknown	PDF	N/A
Frequency Domain-Based Dataset Distillation	Unknown	PDF	N/A
Similarity-based cooperative equilibrium	Unknown	PDF	N/A
Simplifying Neural Network Training Under Class Imbalance	Unknown	PDF	N/A
Domain Agnostic Fourier Neural Operators	Unknown	PDF	N/A
On the Role of Entanglement and Statistics in Learning	Unknown	PDF	N/A
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search	Unknown	PDF	N/A
Robust Data Valuation with Weighted Banzhaf Values	Unknown	PDF	N/A
Nonparametric Boundary Geometry in Physics Informed Deep Learning	Unknown	PDF	N/A
Exact Verification of ReLU Neural Control Barrier Functions	Unknown	PDF	N/A
Enhancing Robot Program Synthesis Through Environmental Context	Unknown	PDF	N/A
Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks	Unknown	PDF	N/A
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization	Unknown	PDF	N/A
Learning Shared Safety Constraints from Multi-task Demonstrations	Unknown	PDF	N/A
Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity	Unknown	PDF	N/A
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization	Unknown	PDF	N/A
NCDL: A Framework for Deep Learning on non-Cartesian Lattices	Unknown	PDF	N/A
A Path to Simpler Models Starts With Noise	Unknown	PDF	N/A
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations	Unknown	PDF	N/A
Batchnorm Allows Unsupervised Radial Attacks	Unknown	PDF	N/A
A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions	Unknown	PDF	N/A
Cognitive Model Discovery via Disentangled RNNs	Unknown	PDF	N/A
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning	Unknown	PDF	N/A
Non-Convex Bilevel Optimization with Time-Varying Objective Functions	Unknown	PDF	N/A
Revisiting Visual Model Robustness: A Frequency Long-Tailed Distribution View	Unknown	PDF	N/A
Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning	Unknown	PDF	N/A
Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning	Unknown	PDF	N/A
Implicit variance regularization in non-contrastive SSL	Unknown	PDF	N/A
Pseudo-Likelihood Inference	Unknown	PDF	N/A
Star-Shaped Denoising Diffusion Probabilistic Models	Unknown	PDF	N/A
Hierarchical clustering with dot products recovers hidden tree structure	Unknown	PDF	N/A
The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs	Unknown	PDF	N/A
PromptIR: Prompting for All-in-One Image Restoration	Unknown	PDF	N/A
Kernel-Based Tests for Likelihood-Free Hypothesis Testing	Unknown	PDF	N/A
Learning DAGs from Data with Few Root Causes	Unknown	PDF	N/A
Randomized and Deterministic Maximin-share Approximations for Fractionally Subadditive Valuations	Unknown	PDF	N/A
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks	Unknown	PDF	N/A
A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging	Unknown	PDF	N/A
Implicit Regularization in Over-Parameterized Support Vector Machine	Unknown	PDF	N/A
Auxiliary Losses for Learning Generalizable Concept-based Models	Unknown	PDF	N/A
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection	Unknown	PDF	N/A
Grassmann Manifold Flows for Stable Shape Generation	Unknown	PDF	N/A
Bayesian Optimisation of Functions on Graphs	Unknown	PDF	N/A
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance	Unknown	PDF	N/A
Structured State Space Models for In-Context Reinforcement Learning	Unknown	PDF	N/A
Normalizing flow neural networks by JKO scheme	Unknown	PDF	N/A
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models	Unknown	PDF	N/A
Sample based Explanations via Generalized Representers	Unknown	PDF	N/A
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing Networks	Unknown	PDF	N/A
Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples	Unknown	PDF	N/A
Empowering Convolutional Neural Nets with MetaSin Activation	Unknown	PDF	N/A
Bounded rationality in structured density estimation	Unknown	PDF	N/A
Riemannian Laplace approximations for Bayesian neural networks	Unknown	PDF	N/A
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models	Unknown	PDF	N/A
A Bayesian Approach To Analysing Training Data Attribution In Deep Learning	Unknown	PDF	N/A
Human-Guided Complexity-Controlled Abstractions	Unknown	PDF	N/A
Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation	Unknown	PDF	N/A
Optimizing Solution-Samplers for Combinatorial Problems: The Landscape of Policy-Gradient Method	Unknown	PDF	N/A
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability	Unknown	PDF	N/A
Variational Annealing on Graphs for Combinatorial Optimization	Unknown	PDF	N/A
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks	Unknown	PDF	N/A
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone	Unknown	PDF	N/A
An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient	Unknown	PDF	N/A
Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures	Unknown	PDF	N/A
Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning	Unknown	PDF	N/A
Exploiting hidden structures in non-convex games for convergence to Nash equilibrium	Unknown	PDF	N/A
UniTSFace: Unified Threshold Integrated Sample-to-Sample Loss for Face Recognition	Unknown	PDF	N/A
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks	Unknown	PDF	N/A
$p$-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison	Unknown	PDF	N/A
Inferring the Future by Imagining the Past	Unknown	PDF	N/A
The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models	Unknown	PDF	N/A
Improving Self-supervised Molecular Representation Learning using Persistent Homology	Unknown	PDF	N/A
Utilitarian Algorithm Configuration	Unknown	PDF	N/A
Beta Diffusion	Unknown	PDF	N/A
Learning Transformer Programs	Unknown	PDF	N/A
Simple and Controllable Music Generation	Unknown	PDF	N/A
Mitigating the Effect of Incidental Correlations on Part-based Learning	Unknown	PDF	N/A
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning	Unknown	PDF	N/A
The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games	Unknown	PDF	N/A
Learning to Discover Skills through Guidance	Unknown	PDF	N/A
xTrimoGene: An Efficient and Scalable Representation Learner for Single-Cell RNA-Seq Data	Unknown	PDF	N/A
Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models	Unknown	PDF	N/A
Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure	Unknown	PDF	N/A
Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage	Unknown	PDF	N/A
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling	Unknown	PDF	N/A
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release	Unknown	PDF	N/A
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs	Unknown	PDF	N/A
Accurate Interpolation for Scattered Data through Hierarchical Residual Refinement	Unknown	PDF	N/A
Hybrid Policy Optimization from Imperfect Demonstrations	Unknown	PDF	N/A
Optimal Preconditioning and Fisher Adaptive Langevin Sampling	Unknown	PDF	N/A
Semantic HELM: A Human-Readable Memory for Reinforcement Learning	Unknown	PDF	N/A
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods	Unknown	PDF	N/A
WITRAN: Water-wave Information Transmission and Recurrent Acceleration Network for Long-range Time Series Forecasting	Unknown	PDF	N/A
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization	Unknown	PDF	N/A
AMDP: An Adaptive Detection Procedure for False Discovery Rate Control in High-Dimensional Mediation Analysis	Unknown	PDF	N/A
Consistent Aggregation of Objectives with Diverse Time Preferences Requires Non-Markovian Rewards	Unknown	PDF	N/A
Human-Aligned Calibration for AI-Assisted Decision Making	Unknown	PDF	N/A
Cross-Domain Policy Adaptation via Value-Guided Data Filtering	Unknown	PDF	N/A
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity	Unknown	PDF	N/A
Stable Nonconvex-Nonconcave Training via Linear Interpolation	Unknown	PDF	N/A
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation	Unknown	PDF	N/A
Near-optimal learning with average Hölder smoothness	Unknown	PDF	N/A
Advancing Bayesian Optimization via Learning Correlated Latent Space	Unknown	PDF	N/A
Interpreting Unsupervised Anomaly Detection in Security via Rule Extraction	Unknown	PDF	N/A
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching	Unknown	PDF	N/A
Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence	Unknown	PDF	N/A
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels	Unknown	PDF	N/A
Generalized Information-theoretic Multi-view Clustering	Unknown	PDF	N/A
A Definition of Continual Reinforcement Learning	Unknown	PDF	N/A
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion	Unknown	PDF	N/A
DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views	Unknown	PDF	N/A
Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory	Unknown	PDF	N/A
Latent Space Translation via Semantic Alignment	Unknown	PDF	N/A
NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning	Unknown	PDF	N/A
Clifford Group Equivariant Neural Networks	Unknown	PDF	N/A
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA	Unknown	PDF	N/A
Object-centric Learning with Cyclic Walks between Parts and Whole	Unknown	PDF	N/A
Circuit as Set of Points	Unknown	PDF	N/A
Energy Guided Diffusion for Generating Neurally Exciting Images	Unknown	PDF	N/A
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs	Unknown	PDF	N/A
IBA: Towards Irreversible Backdoor Attacks in Federated Learning	Unknown	PDF	N/A
SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations	Unknown	PDF	N/A
Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data	Unknown	PDF	N/A
Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference	Unknown	PDF	N/A
Certification of Distributional Individual Fairness	Unknown	PDF	N/A
Attacks on Online Learners: a Teacher-Student Analysis	Unknown	PDF	N/A
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization	Unknown	PDF	N/A
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits	Unknown	PDF	N/A
Use perturbations when learning from explanations	Unknown	PDF	N/A
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models	Unknown	PDF	N/A
Private estimation algorithms for stochastic block models and mixture models	Unknown	PDF	N/A
Learning Cuts via Enumeration Oracles	Unknown	PDF	N/A
Fair Canonical Correlation Analysis	Unknown	PDF	N/A
Towards Test-Time Refusals via Concept Negation	Unknown	PDF	N/A
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games	Unknown	PDF	N/A
Dynamic Regret of Adversarial Linear Mixture MDPs	Unknown	PDF	N/A
Conservative State Value Estimation for Offline Reinforcement Learning	Unknown	PDF	N/A
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations	Unknown	PDF	N/A
On the Interplay between Social Welfare and Tractability of Equilibria	Unknown	PDF	N/A
ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion	Unknown	PDF	N/A
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense	Unknown	PDF	N/A
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima	Unknown	PDF	N/A
Streaming PCA for Markovian Data	Unknown	PDF	N/A
Lookaround Optimizer: $k$ steps around, 1 step average	Unknown	PDF	N/A
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs	Unknown	PDF	N/A
Fully Dynamic $k$-Clustering in $\tilde O(k)$ Update Time	Unknown	PDF	N/A
Connecting Certified and Adversarial Training	Unknown	PDF	N/A
Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing	Unknown	PDF	N/A
Toward Understanding Generative Data Augmentation	Unknown	PDF	N/A
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering	Unknown	PDF	N/A
Provable Training for Graph Contrastive Learning	Unknown	PDF	N/A
Learning Layer-wise Equivariances Automatically using Gradients	Unknown	PDF	N/A
Decision Tree for Locally Private Estimation with Public Data	Unknown	PDF	N/A
Equivariant flow matching	Unknown	PDF	N/A
Implicit Manifold Gaussian Process Regression	Unknown	PDF	N/A
ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence	Unknown	PDF	N/A
Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction	Unknown	PDF	N/A
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks	Unknown	PDF	N/A
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning	Unknown	PDF	N/A
Deep Insights into Noisy Pseudo Labeling on Graph Data	Unknown	PDF	N/A
Causal Interpretation of Self-Attention in Pre-Trained Transformers	Unknown	PDF	N/A
Deep Recurrent Optimal Stopping	Unknown	PDF	N/A
Stochastic Approximation Algorithms for Systems of Interacting Particles	Unknown	PDF	N/A
Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination	Unknown	PDF	N/A
Structured Voronoi Sampling	Unknown	PDF	N/A
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings	Unknown	PDF	N/A
Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond	Unknown	PDF	N/A
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting	Unknown	PDF	N/A
Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction	Unknown	PDF	N/A
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails	Unknown	PDF	N/A
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting	Unknown	PDF	N/A
Unified Segment-to-Segment Framework for Simultaneous Sequence Generation	Unknown	PDF	N/A
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models	Unknown	PDF	N/A
Hybrid Search for Efficient Planning with Completeness Guarantees	Unknown	PDF	N/A
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples	Unknown	PDF	N/A
Towards Robust and Expressive Whole-body Human Pose and Shape Estimation	Unknown	PDF	N/A
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry	Unknown	PDF	N/A
Fast Approximation of Similarity Graphs with Kernel Density Estimation	Unknown	PDF	N/A
AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning	Unknown	PDF	N/A
A Unified Framework for U-Net Design and Analysis	Unknown	PDF	N/A
Policy Gradient for Rectangular Robust Markov Decision Processes	Unknown	PDF	N/A
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning	Unknown	PDF	N/A
D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion	Unknown	PDF	N/A
An Adaptive Algorithm for Learning with Unknown Distribution Drift	Unknown	PDF	N/A
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach	Unknown	PDF	N/A
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond	Unknown	PDF	N/A
TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery	Unknown	PDF	N/A
Knowledge Diffusion for Distillation	Unknown	PDF	N/A
Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift	Unknown	PDF	N/A
Regression with Cost-based Rejection	Unknown	PDF	N/A
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily	Unknown	PDF	N/A
Automatic Integration for Spatiotemporal Neural Point Processes	Unknown	PDF	N/A
Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation	Unknown	PDF	N/A
Hierarchical Randomized Smoothing	Unknown	PDF	N/A
Direct Training of SNN using Local Zeroth Order Method	Unknown	PDF	N/A
Disentangling Voice and Content with Self-Supervision for Speaker Recognition	Unknown	PDF	N/A
Understanding and Improving Ensemble Adversarial Defense	Unknown	PDF	N/A
Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics	Unknown	PDF	N/A
Theoretical and Practical Perspectives on what Influence Functions Do	Unknown	PDF	N/A
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent	Unknown	PDF	N/A
Monitor-Guided Decoding of Code LMs with Static Analysis of Repository Context	Unknown	PDF	N/A
TRIAGE: Characterizing and auditing training data for improved regression	Unknown	PDF	N/A
Generalization in the Face of Adaptivity: A Bayesian Perspective	Unknown	PDF	N/A
ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields	Unknown	PDF	N/A
Efficiently incorporating quintuple interactions into geometric deep learning force fields	Unknown	PDF	N/A
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data	Unknown	PDF	N/A
Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation	Unknown	PDF	N/A
Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory	Unknown	PDF	N/A
MomentDiff: Generative Video Moment Retrieval from Random to Real	Unknown	PDF	N/A
Temporal Dynamic Quantization for Diffusion Models	Unknown	PDF	N/A
Self-Predictive Universal AI	Unknown	PDF	N/A
Causal Component Analysis	Unknown	PDF	N/A
Nonparametric Identifiability of Causal Representations from Unknown Interventions	Unknown	PDF	N/A
CLadder: Assessing Causal Reasoning in Language Models	Unknown	PDF	N/A
Improving neural network representations using human similarity judgments	Unknown	PDF	N/A
AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation	Unknown	PDF	N/A
NeuroGraph: Benchmarks for Graph Machine Learning in Brain Connectomics	Unknown	PDF	N/A
Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning	Unknown	PDF	N/A
Reinforcement Learning with Simple Sequence Priors	Unknown	PDF	N/A
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions	Unknown	PDF	N/A
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization	Unknown	PDF	N/A
Robust Mean Estimation Without Moments for Symmetric Distributions	Unknown	PDF	N/A
Federated Compositional Deep AUC Maximization	Unknown	PDF	N/A
Window-Based Distribution Shift Detection for Deep Neural Networks	Unknown	PDF	N/A
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models	Unknown	PDF	N/A
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs	Unknown	PDF	N/A
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking	Unknown	PDF	N/A
Bayesian Active Causal Discovery with Multi-Fidelity Experiments	Unknown	PDF	N/A
CWCL: Cross-Modal Transfer with Continuously Weighted Contrastive Loss	Unknown	PDF	N/A
Online PCA in Converging Self-consistent Field Equations	Unknown	PDF	N/A
Don’t blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy	Unknown	PDF	N/A
On Slicing Optimality for Mutual Information	Unknown	PDF	N/A
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy	Unknown	PDF	N/A
Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI	Unknown	PDF	N/A
Conditional Matrix Flows for Gaussian Graphical Models	Unknown	PDF	N/A
Two-Stage Learning to Defer with Multiple Experts	Unknown	PDF	N/A
Multiply Robust Federated Estimation of Targeted Average Treatment Effects	Unknown	PDF	N/A
On the Variance, Admissibility, and Stability of Empirical Risk Minimization	Unknown	PDF	N/A
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning	Unknown	PDF	N/A
Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task	Unknown	PDF	N/A
Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width	Unknown	PDF	N/A
Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture	Unknown	PDF	N/A
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness	Unknown	PDF	N/A
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context	Unknown	PDF	N/A
Red Teaming Deep Neural Networks with Feature Synthesis Tools	Unknown	PDF	N/A
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces	Unknown	PDF	N/A
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses	Unknown	PDF	N/A
Agnostically Learning Single-Index Models using Omnipredictors	Unknown	PDF	N/A
Combining Behaviors with the Successor Features Keyboard	Unknown	PDF	N/A
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation	Unknown	PDF	N/A
Data Market Design through Deep Learning	Unknown	PDF	N/A
Text Alignment Is An Efficient Unified Model for Massive NLP Tasks	Unknown	PDF	N/A
Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting	Unknown	PDF	N/A
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences	Unknown	PDF	N/A
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training	Unknown	PDF	N/A
Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering	Unknown	PDF	N/A
A Unifying Perspective on Multi-Calibration: Game Dynamics for Multi-Objective Learning	Unknown	PDF	N/A
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances	Unknown	PDF	N/A
Hierarchical VAEs provide a normative account of motion processing in the primate brain	Unknown	PDF	N/A
Optimal testing using combined test statistics across independent studies	Unknown	PDF	N/A
Scale Alone Does not Improve Mechanistic Interpretability in Vision Models	Unknown	PDF	N/A
Tracking Most Significant Shifts in Nonparametric Contextual Bandits	Unknown	PDF	N/A
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions	Unknown	PDF	N/A
Precise asymptotic generalization for multiclass classification with overparameterized linear models	Unknown	PDF	N/A
Fair Adaptive Experiments	Unknown	PDF	N/A
Diverse Shape Completion via Style Modulated Generative Adversarial Networks	Unknown	PDF	N/A
UNSSOR: Unsupervised Neural Speech Separation by Leveraging Over-determined Training Mixtures	Unknown	PDF	N/A
Understanding the detrimental class-level effects of data augmentation	Unknown	PDF	N/A
Versatile Energy-Based Probabilistic Models for High Energy Physics	Unknown	PDF	N/A
Compositional Generalization from First Principles	Unknown	PDF	N/A
SpecTr: Fast Speculative Decoding via Optimal Transport	Unknown	PDF	N/A
Fair, Polylog-Approximate Low-Cost Hierarchical Clustering	Unknown	PDF	N/A
Minimax-Optimal Location Estimation	Unknown	PDF	N/A
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation	Unknown	PDF	N/A
Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems	Unknown	PDF	N/A
A polar prediction model for learning to represent visual transformations	Unknown	PDF	N/A
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards	Unknown	PDF	N/A
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models	Unknown	PDF	N/A
Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder	Unknown	PDF	N/A
HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation	Unknown	PDF	N/A
No-Regret Online Prediction with Strategic Experts	Unknown	PDF	N/A
Uncovering motifs of concurrent signaling across multiple neuronal populations	Unknown	PDF	N/A
ELDEN: Exploration via Local Dependencies	Unknown	PDF	N/A
Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures	Unknown	PDF	N/A
How to Scale Your EMA	Unknown	PDF	N/A
Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!	Unknown	PDF	N/A
Model-free Posterior Sampling via Learning Rate Randomization	Unknown	PDF	N/A
A Unified, Scalable Framework for Neural Population Decoding	Unknown	PDF	N/A
A Trichotomy for Transductive Online Learning	Unknown	PDF	N/A
Towards Automated Circuit Discovery for Mechanistic Interpretability	Unknown	PDF	N/A
Generating Behaviorally Diverse Policies with Latent Diffusion Models	Unknown	PDF	N/A
Distributed Personalized Empirical Risk Minimization	Unknown	PDF	N/A
Structured Prediction with Stronger Consistency Guarantees	Unknown	PDF	N/A
Feature Learning for Interpretable, Performant Decision Trees	Unknown	PDF	N/A
Advice Querying under Budget Constraint for Online Algorithms	Unknown	PDF	N/A
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression	Unknown	PDF	N/A
MIMEx: Intrinsic Rewards from Masked Input Modeling	Unknown	PDF	N/A
Prioritizing Samples in Reinforcement Learning with Reducible Loss	Unknown	PDF	N/A
Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning	Unknown	PDF	N/A
Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts	Unknown	PDF	N/A
Group Robust Classification Without Any Group Information	Unknown	PDF	N/A
Egocentric Planning for Scalable Embodied Task Achievement	Unknown	PDF	N/A
Lie Point Symmetry and Physics-Informed Networks	Unknown	PDF	N/A
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction	Unknown	PDF	N/A
Derandomized novelty detection with FDR control via conformal e-values	Unknown	PDF	N/A
Adversarial Learning for Feature Shift Detection and Correction	Unknown	PDF	N/A
Grammar Prompting for Domain-Specific Language Generation with Large Language Models	Unknown	PDF	N/A
Rethinking Gauss-Newton for learning over-parameterized models	Unknown	PDF	N/A
SOL: Sampling-based Optimal Linear bounding of arbitrary scalar functions	Unknown	PDF	N/A
Compositional Sculpting of Iterative Generative Processes	Unknown	PDF	N/A
High-Fidelity Audio Compression with Improved RVQGAN	Unknown	PDF	N/A
A State Representation for Diminishing Rewards	Unknown	PDF	N/A
Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier	Unknown	PDF	N/A
Online POMDP Planning with Anytime Deterministic Guarantees	Unknown	PDF	N/A
Residual Q-Learning: Offline and Online Policy Customization without Value	Unknown	PDF	N/A
Near Optimal Reconstruction of Spherical Harmonic Expansions	Unknown	PDF	N/A
Automated Classification of Model Errors on ImageNet	Unknown	PDF	N/A
Towards robust and generalizable representations of extracellular data using contrastive learning	Unknown	PDF	N/A
The Gain from Ordering in Online Learning	Unknown	PDF	N/A
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks	Unknown	PDF	N/A
Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL	Unknown	PDF	N/A
MarioGPT: Open-Ended Text2Level Generation through Large Language Models	Unknown	PDF	N/A
Distribution-Free Statistical Dispersion Control for Societal Applications	Unknown	PDF	N/A
Small batch deep reinforcement learning	Unknown	PDF	N/A
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference	Unknown	PDF	N/A
Differentiable Neuro-Symbolic Reasoning on Large-Scale Knowledge Graphs	Unknown	PDF	N/A
Detecting hidden confounding in observational data using multiple environments	Unknown	PDF	N/A
Learning and processing the ordinal information of temporal sequences in recurrent neural circuits	Unknown	PDF	N/A
Multi Time Scale World Models	Unknown	PDF	N/A
Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source Localization	Unknown	PDF	N/A
Model-Free Active Exploration in Reinforcement Learning	Unknown	PDF	N/A
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes	Unknown	PDF	N/A
Self-Supervised Reinforcement Learning that Transfers using Random Features	Unknown	PDF	N/A
KAKURENBO: Adaptively Hiding Samples in Deep Neural Network Training	Unknown	PDF	N/A
List and Certificate Complexities in Replicable Learning	Unknown	PDF	N/A
Towards Unbounded Machine Unlearning	Unknown	PDF	N/A
$p$-Poisson surface reconstruction in curl-free flow from point clouds	Unknown	PDF	N/A
DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening	Unknown	PDF	N/A
On the Convergence of CART under Sufficient Impurity Decrease Condition	Unknown	PDF	N/A
FlowPG: Action-constrained Policy Gradient with Normalizing Flows	Unknown	PDF	N/A
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization	Unknown	PDF	N/A
Variational Monte Carlo on a Budget — Fine-tuning pre-trained Neural Wavefunctions	Unknown	PDF	N/A
Nearly Optimal Bounds for Cyclic Forgetting	Unknown	PDF	N/A
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations	Unknown	PDF	N/A
The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit	Unknown	PDF	N/A
Doubly Robust Augmented Transfer for Meta-Reinforcement Learning	Unknown	PDF	N/A
Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels	Unknown	PDF	N/A
Anytime Model Selection in Linear Bandits	Unknown	PDF	N/A
Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More	Unknown	PDF	N/A
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing	Unknown	PDF	N/A
Towards Optimal Effective Resistance Estimation	Unknown	PDF	N/A
Geometric Transformer with Interatomic Positional Encoding	Unknown	PDF	N/A
Rotating Features for Object Discovery	Unknown	PDF	N/A
Scaling MLPs: A Tale of Inductive Bias	Unknown	PDF	N/A
Emergent and Predictable Memorization in Large Language Models	Unknown	PDF	N/A
Strategic Behavior in Two-sided Matching Markets with Prediction-enhanced Preference-formation	Unknown	PDF	N/A
Bayes beats Cross Validation: Efficient and Accurate Ridge Regression via Expectation Maximization	Unknown	PDF	N/A
Counterfactual Evaluation of Peer-Review Assignment Policies	Unknown	PDF	N/A
Emergent Communication for Rules Reasoning	Unknown	PDF	N/A
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization	Unknown	PDF	N/A
On the Connection between Pre-training Data Diversity and Fine-tuning Robustness	Unknown	PDF	N/A
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach	Unknown	PDF	N/A
The emergence of clusters in self-attention dynamics	Unknown	PDF	N/A
An Inductive Bias for Tabular Deep Learning	Unknown	PDF	N/A
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint	Unknown	PDF	N/A
CEIL: Generalized Contextual Imitation Learning	Unknown	PDF	N/A
Training Transformers with 4-bit Integers	Unknown	PDF	N/A
Estimating Propensity for Causality-based Recommendation without Exposure Data	Unknown	PDF	N/A
Blockwise Parallel Transformers for Large Context Models	Unknown	PDF	N/A
BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization	Unknown	PDF	N/A
Matrix Compression via Randomized Low Rank and Low Precision Factorization	Unknown	PDF	N/A
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation	Unknown	PDF	N/A
From Tempered to Benign Overfitting in ReLU Neural Networks	Unknown	PDF	N/A
Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering	Unknown	PDF	N/A
SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning	Unknown	PDF	N/A
Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes	Unknown	PDF	N/A
Towards Self-Interpretable Graph-Level Anomaly Detection	Unknown	PDF	N/A
Optimal Transport for Treatment Effect Estimation	Unknown	PDF	N/A
Language Quantized AutoEncoders: Towards Unsupervised Text-Image Alignment	Unknown	PDF	N/A
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning	Unknown	PDF	N/A
Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints	Unknown	PDF	N/A
Function Space Bayesian Pseudocoreset for Bayesian Neural Networks	Unknown	PDF	N/A
CaMP: Causal Multi-policy Planning for Interactive Navigation in Multi-room Scenes	Unknown	PDF	N/A
DesCo: Learning Object Recognition with Rich Language Descriptions	Unknown	PDF	N/A
Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces	Unknown	PDF	N/A
Unbiased learning of deep generative models with structured discrete representations	Unknown	PDF	N/A
Geometry-Informed Neural Operator for Large-Scale 3D PDEs	Unknown	PDF	N/A
Grounding Neural Inference with Satisfiability Modulo Theories	Unknown	PDF	N/A
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization	Unknown	PDF	N/A
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics	Unknown	PDF	N/A
Evolving Connectivity for Recurrent Spiking Neural Networks	Unknown	PDF	N/A
Counterfactually Fair Representation	Unknown	PDF	N/A
Emergent Communication in Interactive Sketch Question Answering	Unknown	PDF	N/A
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation	Unknown	PDF	N/A
Identifiable Contrastive Learning with Automatic Feature Importance Discovery	Unknown	PDF	N/A
Likelihood-Based Diffusion Language Models	Unknown	PDF	N/A
PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning	Unknown	PDF	N/A
Brant: Foundation Model for Intracranial Neural Signal	Unknown	PDF	N/A
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling	Unknown	PDF	N/A
Neural-Logic Human-Object Interaction Detection	Unknown	PDF	N/A
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time	Unknown	PDF	N/A
HIQL: Offline Goal-Conditioned RL with Latent States as Actions	Unknown	PDF	N/A
Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise	Unknown	PDF	N/A
Residual Alignment: Uncovering the Mechanisms of Residual Networks	Unknown	PDF	N/A
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL	Unknown	PDF	N/A
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent	Unknown	PDF	N/A
Binary Radiance Fields	Unknown	PDF	N/A
Ambient Diffusion: Learning Clean Distributions from Corrupted Data	Unknown	PDF	N/A
An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions	Unknown	PDF	N/A
Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits	Unknown	PDF	N/A
Compressed Video Prompt Tuning	Unknown	PDF	N/A
On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy	Unknown	PDF	N/A
Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation	Unknown	PDF	N/A
DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement	Unknown	PDF	N/A
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning	Unknown	PDF	N/A
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks	Unknown	PDF	N/A
Doubly-Robust Self-Training	Unknown	PDF	N/A
AdaPlanner: Adaptive Planning from Feedback with Language Models	Unknown	PDF	N/A
Zero-shot causal learning	Unknown	PDF	N/A
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models	Unknown	PDF	N/A
Uniform Convergence with Square-Root Lipschitz Loss	Unknown	PDF	N/A
Object-Centric Slot Diffusion	Unknown	PDF	N/A
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement	Unknown	PDF	N/A
Curriculum Learning With Infant Egocentric Videos	Unknown	PDF	N/A
Towards Optimal Caching and Model Selection for Large Model Inference	Unknown	PDF	N/A
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer	Unknown	PDF	N/A
RETVec: Resilient and Efficient Text Vectorizer	Unknown	PDF	N/A
On the Planning Abilities of Large Language Models - A Critical Investigation	Unknown	PDF	N/A
Long-Term Fairness with Unknown Dynamics	Unknown	PDF	N/A
A Finite-Sample Analysis of Payoff-Based Independent Learning in Zero-Sum Stochastic Games	Unknown	PDF	N/A
Scaling Riemannian Diffusion Models	Unknown	PDF	N/A
Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization	Unknown	PDF	N/A
Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication	Unknown	PDF	N/A
Diffusion Self-Guidance for Controllable Image Generation	Unknown	PDF	N/A
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data	Unknown	PDF	N/A
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives	Unknown	PDF	N/A
Stability Guarantees for Feature Attributions with Multiplicative Smoothing	Unknown	PDF	N/A
Arbitrarily Scalable Environment Generators via Neural Cellular Automata	Unknown	PDF	N/A
TopoSRL: Topology preserving self-supervised Simplicial Representation Learning	Unknown	PDF	N/A
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach	Unknown	PDF	N/A
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision	Unknown	PDF	N/A
Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits	Unknown	PDF	N/A
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation	Unknown	PDF	N/A
Simplicity Bias in 1-Hidden Layer Neural Networks	Unknown	PDF	N/A
$S^3$: Increasing GPU Utilization during Generative Inference for Higher Throughput	Unknown	PDF	N/A
Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture	Unknown	PDF	N/A
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization	Unknown	PDF	N/A
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models	Unknown	PDF	N/A
Class-Conditional Conformal Prediction with Many Classes	Unknown	PDF	N/A
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity	Unknown	PDF	N/A
Optimal Unbiased Randomizers for Regression with Label Differential Privacy	Unknown	PDF	N/A
Certified Minimax Unlearning with Generalization Rates and Deletion Capacity	Unknown	PDF	N/A
Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign?	Unknown	PDF	N/A
UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene	Unknown	PDF	N/A
On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis	Unknown	PDF	N/A
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning	Unknown	PDF	N/A
Practical Differentially Private Hyperparameter Tuning with Subsampling	Unknown	PDF	N/A
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning	Unknown	PDF	N/A
High dimensional, tabular deep learning with an auxiliary knowledge graph	Unknown	PDF	N/A
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning	Unknown	PDF	N/A
Error Bounds for Learning with Vector-Valued Random Features	Unknown	PDF	N/A
Contextual Bandits and Imitation Learning with Preference-Based Active Queries	Unknown	PDF	N/A
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?	Unknown	PDF	N/A
PAC Learning Linear Thresholds from Label Proportions	Unknown	PDF	N/A
Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games	Unknown	PDF	N/A
POMDP Planning for Object Search in Partially Unknown Environment	Unknown	PDF	N/A
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers	Unknown	PDF	N/A
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis	Unknown	PDF	N/A
A case for reframing automated medical image classification as segmentation	Unknown	PDF	N/A
Inner Product-based Neural Network Similarity	Unknown	PDF	N/A
Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?	Unknown	PDF	N/A
Can Language Models Solve Graph Problems in Natural Language?	Unknown	PDF	N/A
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments	Unknown	PDF	N/A
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective	Unknown	PDF	N/A
Supervised Pretraining Can Learn In-Context Reinforcement Learning	Unknown	PDF	N/A
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing	Unknown	PDF	N/A
The Impact of Positional Encoding on Length Generalization in Transformers	Unknown	PDF	N/A
Demystifying the Optimal Performance of Multi-Class Classification	Unknown	PDF	N/A
Self-Chained Image-Language Model for Video Localization and Question Answering	Unknown	PDF	N/A
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI	Unknown	PDF	N/A
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation	Unknown	PDF	N/A
ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints	Unknown	PDF	N/A
Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation	Unknown	PDF	N/A
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions	Unknown	PDF	N/A
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond	Unknown	PDF	N/A
Non-autoregressive Machine Translation with Probabilistic Context-free Grammar	Unknown	PDF	N/A
Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models	Unknown	PDF	N/A
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks	Unknown	PDF	N/A
New Bounds for Hyperparameter Tuning of Regression Problems Across Instances	Unknown	PDF	N/A
A Long $N$-step Surrogate Stage Reward for Deep Reinforcement Learning	Unknown	PDF	N/A
Language Models are Weak Learners	Unknown	PDF	N/A
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection	Unknown	PDF	N/A
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model	Unknown	PDF	N/A
Demystifying Oversmoothing in Attention-Based Graph Neural Networks	Unknown	PDF	N/A
ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation	Unknown	PDF	N/A
User-Level Differential Privacy With Few Examples Per User	Unknown	PDF	N/A
Participatory Personalization in Classification	Unknown	PDF	N/A
Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability	Unknown	PDF	N/A
ChatGPT-Powered Hierarchical Comparisons for Image Classification	Unknown	PDF	N/A
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training	Unknown	PDF	N/A
Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork	Unknown	PDF	N/A
Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing	Unknown	PDF	N/A
Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption	Unknown	PDF	N/A
MIM4DD: Mutual Information Maximization for Dataset Distillation	Unknown	PDF	N/A
Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization	Unknown	PDF	N/A
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking	Unknown	PDF	N/A
Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness	Unknown	PDF	N/A
A new perspective on building efficient and expressive 3D equivariant graph neural networks	Unknown	PDF	N/A
CosNet: A Generalized Spectral Kernel Network	Unknown	PDF	N/A
Concept Algebra for (Score-Based) Text-Controlled Generative Models	Unknown	PDF	N/A
State-Action Similarity-Based Representations for Off-Policy Evaluation	Unknown	PDF	N/A
Adaptive Linear Estimating Equations	Unknown	PDF	N/A
Why think step by step? Reasoning emerges from the locality of experience	Unknown	PDF	N/A
ShiftAddViT: Mixture of Multiplication Primitives Towards Efficient Vision Transformer	Unknown	PDF	N/A
Bandit Task Assignment with Unknown Processing Time	Unknown	PDF	N/A
DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets	Unknown	PDF	N/A
Game Solving with Online Fine-Tuning	Unknown	PDF	N/A
Recurrent Temporal Revision Graph Networks	Unknown	PDF	N/A
Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Explain Any Concept: Segment Anything Meets Concept-Based Explanation	Unknown	PDF	N/A
Depth-discriminative Metric Learning for Monocular 3D Object Detection	Unknown	PDF	N/A
Connecting Pre-trained Language Model and Downstream Task via Properties of Representation	Unknown	PDF	N/A
An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits	Unknown	PDF	N/A
Score-based Source Separation with Applications to Digital Communication Signals	Unknown	PDF	N/A
Generalized Belief Transport	Unknown	PDF	N/A
Weakly Coupled Deep Q-Networks	Unknown	PDF	N/A
Provable benefits of score matching	Unknown	PDF	N/A
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation	Unknown	PDF	N/A
Weitzman's Rule for Pandora's Box with Correlations	Unknown	PDF	N/A
Learning Mask-aware CLIP Representations for Zero-Shot Segmentation	Unknown	PDF	N/A
CoDrug: Conformal Drug Property Prediction with Density Estimation under Covariate Shift	Unknown	PDF	N/A
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion	Unknown	PDF	N/A
Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction	Unknown	PDF	N/A
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text	Unknown	PDF	N/A
Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability	Unknown	PDF	N/A
EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning	Unknown	PDF	N/A
Large Language Models Are Semi-Parametric Reinforcement Learning Agents	Unknown	PDF	N/A
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution	Unknown	PDF	N/A
Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model	Unknown	PDF	N/A
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion	Unknown	PDF	N/A
Flow Matching for Scalable Simulation-Based Inference	Unknown	PDF	N/A
Optimal and Fair Encouragement Policy Evaluation and Learning	Unknown	PDF	N/A
Machine learning detects terminal singularities	Unknown	PDF	N/A
Universality laws for Gaussian mixtures in generalized linear models	Unknown	PDF	N/A
CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning	Unknown	PDF	N/A
Large Language Models Are Zero-Shot Time Series Forecasters	Unknown	PDF	N/A
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits	Unknown	PDF	N/A
Bottleneck Structure in Learned Features: Low-Dimension vs Regularity Tradeoff	Unknown	PDF	N/A
Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations	Unknown	PDF	N/A
A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time	Unknown	PDF	N/A
Max-Sliced Mutual Information	Unknown	PDF	N/A
Probabilistic Inference in Reinforcement Learning Done Right	Unknown	PDF	N/A
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies	Unknown	PDF	N/A
Active Negative Loss Functions for Learning with Noisy Labels	Unknown	PDF	N/A
Transformer-based Planning for Symbolic Regression	Unknown	PDF	N/A
Reference-Based POMDPs	Unknown	PDF	N/A
Neuro-symbolic Learning Yielding Logical Constraints	Unknown	PDF	N/A
Efficient Learning of Linear Graph Neural Networks via Node Subsampling	Unknown	PDF	N/A
Transformers learn to implement preconditioned gradient descent for in-context learning	Unknown	PDF	N/A
Responsible AI (RAI) Games and Ensembles	Unknown	PDF	N/A
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference	Unknown	PDF	N/A
Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds	Unknown	PDF	N/A
Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt	Unknown	PDF	N/A
Persuading Farsighted Receivers in MDPs: the Power of Honesty	Unknown	PDF	N/A
An information-theoretic quantification of the content of communication between brain regions	Unknown	PDF	N/A
Modulated Neural ODEs	Unknown	PDF	N/A
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion	Unknown	PDF	N/A
Focused Transformer: Contrastive Training for Context Scaling	Unknown	PDF	N/A
Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields	Unknown	PDF	N/A
EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning	Unknown	PDF	N/A
Bicriteria Multidimensional Mechanism Design with Side Information	Unknown	PDF	N/A
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis	Unknown	PDF	N/A
TriRE: A Multi-Mechanism Learning Paradigm for Continual Knowledge Retention and Promotion	Unknown	PDF	N/A
Scalarization for Multi-Task and Multi-Domain Learning at Scale	Unknown	PDF	N/A
Paxion: Patching Action Knowledge in Video-Language Foundation Models	Unknown	PDF	N/A
Parallel Submodular Function Minimization	Unknown	PDF	N/A
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization	Unknown	PDF	N/A
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding	Unknown	PDF	N/A
Minimax Optimal Rate for Parameter Estimation in Multivariate Deviated Models	Unknown	PDF	N/A
Mass-Producing Failures of Multimodal Systems with Language Models	Unknown	PDF	N/A
Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly	Unknown	PDF	N/A
Brain-like Flexible Visual Inference by Harnessing Feedback Feedforward Alignment	Unknown	PDF	N/A
Policy Space Diversity for Non-Transitive Games	Unknown	PDF	N/A
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models	Unknown	PDF	N/A
A Randomized Approach to Tight Privacy Accounting	Unknown	PDF	N/A
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning	Unknown	PDF	N/A
Improving Adversarial Transferability via Intermediate-level Perturbation Decay	Unknown	PDF	N/A
Sequential Predictive Two-Sample and Independence Testing	Unknown	PDF	N/A
Retaining Beneficial Information from Detrimental Data for Neural Network Repair	Unknown	PDF	N/A
Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells	Unknown	PDF	N/A
Are Emergent Abilities of Large Language Models a Mirage?	Unknown	PDF	N/A
SQ Lower Bounds for Learning Mixtures of Linear Classifiers	Unknown	PDF	N/A
Sparse Modular Activation for Efficient Sequence Modeling	Unknown	PDF	N/A
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization	Unknown	PDF	N/A
Cross-Scale MAE: A Tale of Multiscale Exploitation in Remote Sensing	Unknown	PDF	N/A
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders	Unknown	PDF	N/A
Module-wise Adaptive Distillation for Multimodality Foundation Models	Unknown	PDF	N/A
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation	Unknown	PDF	N/A
STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner	Unknown	PDF	N/A
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games	Unknown	PDF	N/A
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics	Unknown	PDF	N/A
Personalized Dictionary Learning for Heterogeneous Datasets	Unknown	PDF	N/A
Expert load matters: operating networks at high accuracy and low manual effort	Unknown	PDF	N/A
Implicit Convolutional Kernels for Steerable CNNs	Unknown	PDF	N/A
Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore	Unknown	PDF	N/A
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits	Unknown	PDF	N/A
Probabilistic Exponential Integrators	Unknown	PDF	N/A
Back-Modality: Leveraging Modal Transformation for Data Augmentation	Unknown	PDF	N/A
Multi-Swap k-Means++	Unknown	PDF	N/A
Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms	Unknown	PDF	N/A
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning	Unknown	PDF	N/A
Neural Modulation for Flash Memory: An Unsupervised Learning Framework for Improved Reliability	Unknown	PDF	N/A
ViSt3D: Video Stylization with 3D CNN	Unknown	PDF	N/A
Iterative Reachability Estimation for Safe Reinforcement Learning	Unknown	PDF	N/A
Evolving Standardization for Continual Domain Generalization over Temporal Drift	Unknown	PDF	N/A
Efficient Neural Music Generation	Unknown	PDF	N/A
Bounding training data reconstruction in DP-SGD	Unknown	PDF	N/A
Tree of Thoughts: Deliberate Problem Solving with Large Language Models	Unknown	PDF	N/A
DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization	Unknown	PDF	N/A
Sequential Memory with Temporal Predictive Coding	Unknown	PDF	N/A
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers	Unknown	PDF	N/A
Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation	Unknown	PDF	N/A
Color Equivariant Convolutional Networks	Unknown	PDF	N/A
Learning Efficient Surrogate Dynamic Models with Graph Spline Networks	Unknown	PDF	N/A
Optimization and Bayes: A Trade-off for Overparameterized Neural Networks	Unknown	PDF	N/A
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning	Unknown	PDF	N/A
Imitation Learning from Vague Feedback	Unknown	PDF	N/A
Towards Efficient Image Compression Without Autoregressive Models	Unknown	PDF	N/A
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation	Unknown	PDF	N/A
Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds	Unknown	PDF	N/A
Robust Matrix Sensing in the Semi-Random Model	Unknown	PDF	N/A
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective	Unknown	PDF	N/A
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design	Unknown	PDF	N/A
Differentiable Random Partition Models	Unknown	PDF	N/A
Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points	Unknown	PDF	N/A
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise	Unknown	PDF	N/A
Birth of a Transformer: A Memory Viewpoint	Unknown	PDF	N/A
Stochastic Optimal Control for Collective Variable Free Sampling of Molecular Transition Paths	Unknown	PDF	N/A
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering	Unknown	PDF	N/A
On kernel-based statistical learning theory in the mean field limit	Unknown	PDF	N/A
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing	Unknown	PDF	N/A
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model	Unknown	PDF	N/A
Fair Graph Distillation	Unknown	PDF	N/A
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?	Unknown	PDF	N/A
Moral Responsibility for AI Systems	Unknown	PDF	N/A
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation	Unknown	PDF	N/A
Sorting with Predictions	Unknown	PDF	N/A
Direct Diffusion Bridge using Data Consistency for Inverse Problems	Unknown	PDF	N/A
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization	Unknown	PDF	N/A
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions	Unknown	PDF	N/A
Flow-Based Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection	Unknown	PDF	N/A
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach	Unknown	PDF	N/A
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling	Unknown	PDF	N/A
Estimating and Controlling for Equalized Odds via Sensitive Attribute Predictors	Unknown	PDF	N/A
Sparse Parameterization for Epitomic Dataset Distillation	Unknown	PDF	N/A
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model	Unknown	PDF	N/A
Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors	Unknown	PDF	N/A
RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks	Unknown	PDF	N/A
SALSA VERDE: a machine learning attack on LWE with sparse small secrets	Unknown	PDF	N/A
Federated Learning with Bilateral Curation for Partially Class-Disjoint Data	Unknown	PDF	N/A
On the Identifiability and Interpretability of Gaussian Process Models	Unknown	PDF	N/A
Towards Efficient and Accurate Winograd Convolution via Full Quantization	Unknown	PDF	N/A
Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination	Unknown	PDF	N/A
AmadeusGPT: a natural language interface for interactive animal behavioral analysis	Unknown	PDF	N/A
Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk	Unknown	PDF	N/A
Efficient Exploration in Continuous-time Model-based Reinforcement Learning	Unknown	PDF	N/A
On the Power of SVD in the Stochastic Block Model	Unknown	PDF	N/A
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints	Unknown	PDF	N/A
A Fractional Graph Laplacian Approach to Oversmoothing	Unknown	PDF	N/A
Learning Regularized Monotone Graphon Mean-Field Games	Unknown	PDF	N/A
Learning From Biased Soft Labels	Unknown	PDF	N/A
Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language.	Unknown	PDF	N/A
DreamWaltz: Make a Scene with Complex 3D Animatable Avatars	Unknown	PDF	N/A
Noether Embedding: Efficient Learning of Temporal Regularities	Unknown	PDF	N/A
An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions	Unknown	PDF	N/A
Understanding and Improving Feature Learning for Out-of-Distribution Generalization	Unknown	PDF	N/A
The Tunnel Effect: Building Data Representations in Deep Neural Networks	Unknown	PDF	N/A
Structure Learning with Adaptive Random Neighborhood Informed MCMC	Unknown	PDF	N/A
FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models	Unknown	PDF	N/A
Deep Fractional Fourier Transform	Unknown	PDF	N/A
Higher-Order Uncoupled Dynamics Do Not Lead to Nash Equilibrium - Except When They Do	Unknown	PDF	N/A
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions	Unknown	PDF	N/A
Learning Dictionary for Visual Attention	Unknown	PDF	N/A
Optimistic Active Exploration of Dynamical Systems	Unknown	PDF	N/A
Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model	Unknown	PDF	N/A
Cookie Consent Has Disparate Impact on Estimation Accuracy	Unknown	PDF	N/A
Learning Large-scale Neural Fields via Context Pruned Meta-Learning	Unknown	PDF	N/A
Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression	Unknown	PDF	N/A
Wasserstein distributional robustness of neural networks	Unknown	PDF	N/A
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL	Unknown	PDF	N/A
Faster Margin Maximization Rates for Generic Optimization Methods	Unknown	PDF	N/A
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design	Unknown	PDF	N/A
Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity	Unknown	PDF	N/A
Outlier-Robust Gromov-Wasserstein for Graph Data	Unknown	PDF	N/A
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information	Unknown	PDF	N/A
Reusing Pretrained Models by Multi-linear Operators for Efficient Training	Unknown	PDF	N/A
Variational Weighting for Kernel Density Ratios	Unknown	PDF	N/A
Taming Local Effects in Graph-based Spatiotemporal Forecasting	Unknown	PDF	N/A
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale	Unknown	PDF	N/A
A Bayesian Take on Gaussian Process Networks	Unknown	PDF	N/A
Granger Components Analysis: Unsupervised learning of latent temporal dependencies	Unknown	PDF	N/A
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment	Unknown	PDF	N/A
MADG: Margin-based Adversarial Learning for Domain Generalization	Unknown	PDF	N/A
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning	Unknown	PDF	N/A
ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training	Unknown	PDF	N/A
MeCo: Zero-Shot NAS with One Data and Single Forward Pass via Minimum Eigenvalue of Correlation	Unknown	PDF	N/A
Federated Learning with Client Subsampling, Data Heterogeneity, and Unbounded Smoothness: A New Algorithm and Lower Bounds	Unknown	PDF	N/A
Characterization of Overfitting in Robust Multiclass Classification	Unknown	PDF	N/A
Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach	Unknown	PDF	N/A
Leveraging sparse and shared feature activations for disentangled representation learning	Unknown	PDF	N/A
Entropy-based Training Methods for Scalable Neural Implicit Samplers	Unknown	PDF	N/A
Implicit Contrastive Representation Learning with Guided Stop-gradient	Unknown	PDF	N/A
A Robust and Opponent-Aware League Training Method for StarCraft II	Unknown	PDF	N/A
Score-based Generative Models with Lévy Processes	Unknown	PDF	N/A
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models	Unknown	PDF	N/A
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability	Unknown	PDF	N/A
Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release	Unknown	PDF	N/A
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models	Unknown	PDF	N/A
Corruption-Robust Offline Reinforcement Learning with General Function Approximation	Unknown	PDF	N/A
Gaussian Membership Inference Privacy	Unknown	PDF	N/A
Coherent Soft Imitation Learning	Unknown	PDF	N/A
An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint	Unknown	PDF	N/A
Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum	Unknown	PDF	N/A
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models	Unknown	PDF	N/A
Towards a Unified Framework of Contrastive Learning for Disentangled Representations	Unknown	PDF	N/A
A Theory of Transfer-Based Black-Box Attacks: Explanation and Implications	Unknown	PDF	N/A
Convolution Monge Mapping Normalization for learning on sleep data	Unknown	PDF	N/A
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation	Unknown	PDF	N/A
Triangulation Residual Loss for Data-efficient 3D Pose Estimation	Unknown	PDF	N/A
Cross-modal Active Complementary Learning with Self-refining Correspondence	Unknown	PDF	N/A
Private Distribution Learning with Public Data: The View from Sample Compression	Unknown	PDF	N/A
Hierarchical Multi-Agent Skill Discovery	Unknown	PDF	N/A
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage	Unknown	PDF	N/A
Adaptive Online Replanning with Diffusion Models	Unknown	PDF	N/A
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning	Unknown	PDF	N/A
Failure-Aware Gaussian Process Optimization with Regret Bounds	Unknown	PDF	N/A
Causal normalizing flows: from theory to practice	Unknown	PDF	N/A
Multi-Agent First Order Constrained Optimization in Policy Space	Unknown	PDF	N/A
Active Bipartite Ranking	Unknown	PDF	N/A
Enhancing Adversarial Robustness via Score-Based Optimization	Unknown	PDF	N/A
The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning	Unknown	PDF	N/A
Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning	Unknown	PDF	N/A
Mask Propagation for Efficient Video Semantic Segmentation	Unknown	PDF	N/A
Fantastic Robustness Measures: The Secrets of Robust Generalization	Unknown	PDF	N/A
Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation	Unknown	PDF	N/A
Distributional Pareto-Optimal Multi-Objective Reinforcement Learning	Unknown	PDF	N/A
Reliable Off-Policy Learning for Dosage Combinations	Unknown	PDF	N/A
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces	Unknown	PDF	N/A
Diffusion Representation for Asymmetric Kernels via Magnetic Transform	Unknown	PDF	N/A
Context Shift Reduction for Offline Meta-Reinforcement Learning	Unknown	PDF	N/A
Add and Thin: Diffusion for Temporal Point Processes	Unknown	PDF	N/A
On quantum backpropagation, information reuse, and cheating measurement collapse	Unknown	PDF	N/A
Optimal approximation using complex-valued neural networks	Unknown	PDF	N/A
Learning Dense Flow Field for Highly-accurate Cross-view Camera Localization	Unknown	PDF	N/A
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability	Unknown	PDF	N/A
InstanT: Semi-supervised Learning with Instance-dependent Thresholds	Unknown	PDF	N/A
Complexity Matters: Rethinking the Latent Space for Generative Modeling	Unknown	PDF	N/A
Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents	Unknown	PDF	N/A
Mode Connectivity in Auction Design	Unknown	PDF	N/A
Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration	Unknown	PDF	N/A
One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning	Unknown	PDF	N/A
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection	Unknown	PDF	N/A
Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models	Unknown	PDF	N/A
A General Framework for Equivariant Neural Networks on Reductive Lie Groups	Unknown	PDF	N/A
Nearest Neighbour with Bandit Feedback	Unknown	PDF	N/A
Curvature Filtrations for Graph Generative Model Evaluation	Unknown	PDF	N/A
Adversarial Attacks on Online Learning to Rank with Click Feedback	Unknown	PDF	N/A
Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability	Unknown	PDF	N/A
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference	Unknown	PDF	N/A
Volume Feature Rendering for Fast Neural Radiance Field Reconstruction	Unknown	PDF	N/A
FedL2P: Federated Learning to Personalize	Unknown	PDF	N/A
Continuous Parametric Optical Flow	Unknown	PDF	N/A
Extremal Domain Translation with Neural Optimal Transport	Unknown	PDF	N/A
A Guide Through the Zoo of Biased SGD	Unknown	PDF	N/A
Nearly Tight Bounds For Differentially Private Multiway Cut	Unknown	PDF	N/A
CamoPatch: An Evolutionary Strategy for Generating Camoflauged Adversarial Patches	Unknown	PDF	N/A
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression	Unknown	PDF	N/A
How do Minimum-Norm Shallow Denoisers Look in Function Space?	Unknown	PDF	N/A
Training Fully Connected Neural Networks is $\exists\mathbb{R}$-Complete	Unknown	PDF	N/A
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions	Unknown	PDF	N/A
On the Minimax Regret for Online Learning with Feedback Graphs	Unknown	PDF	N/A
Optimal cross-learning for contextual bandits with unknown context distributions	Unknown	PDF	N/A
GeoTMI: Predicting Quantum Chemical Property with Easy-to-Obtain Geometry via Positional Denoising	Unknown	PDF	N/A
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing	Unknown	PDF	N/A
Approximate inference of marginals using the IBIA framework	Unknown	PDF	N/A
A Unified Framework for Rank-based Loss Minimization	Unknown	PDF	N/A
On Evaluating Adversarial Robustness of Large Vision-Language Models	Unknown	PDF	N/A
GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence	Unknown	PDF	N/A
Boosting Learning for LDPC Codes to Improve the Error-Floor Performance	Unknown	PDF	N/A
Combating Representation Learning Disparity with Geometric Harmonization	Unknown	PDF	N/A
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception	Unknown	PDF	N/A
Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems	Unknown	PDF	N/A
Learning Sample Difficulty from Pre-trained Models for Reliable Prediction	Unknown	PDF	N/A
Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification	Unknown	PDF	N/A
Computational Guarantees for Doubly Entropic Wasserstein Barycenters	Unknown	PDF	N/A
Tailoring Self-Attention for Graph via Rooted Subtrees	Unknown	PDF	N/A
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning	Unknown	PDF	N/A
Vocabulary-free Image Classification	Unknown	PDF	N/A
Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks	Unknown	PDF	N/A
Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis	Unknown	PDF	N/A
Operation-Level Early Stopping for Robustifying Differentiable NAS	Unknown	PDF	N/A
Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?	Unknown	PDF	N/A
Neural Processes with Stability	Unknown	PDF	N/A
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy	Unknown	PDF	N/A
DeepPCR: Parallelizing Sequential Operations in Neural Networks	Unknown	PDF	N/A
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents	Unknown	PDF	N/A
Joint Training of Deep Ensembles Fails Due to Learner Collusion	Unknown	PDF	N/A
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks	Unknown	PDF	N/A
How to Turn Your Knowledge Graph Embeddings into Generative Models	Unknown	PDF	N/A
Learn to Categorize or Categorize to Learn? Self-Coding for Generalized Category Discovery	Unknown	PDF	N/A
TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation	Unknown	PDF	N/A
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models	Unknown	PDF	N/A
Delegated Classification	Unknown	PDF	N/A
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions	Unknown	PDF	N/A
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization	Unknown	PDF	N/A
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy	Unknown	PDF	N/A
Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria	Unknown	PDF	N/A
SoTTA: Robust Test-Time Adaptation on Noisy Data Streams	Unknown	PDF	N/A
Limits, approximation and size transferability for GNNs on sparse graphs via graphops	Unknown	PDF	N/A
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints	Unknown	PDF	N/A
Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion	Unknown	PDF	N/A
Facing Off World Model Backbones: RNNs, Transformers, and S4	Unknown	PDF	N/A
Homotopy-based training of NeuralODEs for accurate dynamics discovery	Unknown	PDF	N/A
Combinatorial Optimization with Policy Adaptation using Latent Space Search	Unknown	PDF	N/A
Quantum Bayesian Optimization	Unknown	PDF	N/A
Assumption violations in causal discovery and the robustness of score matching	Unknown	PDF	N/A
Minimum Description Length and Generalization Guarantees for Representation Learning	Unknown	PDF	N/A
Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion	Unknown	PDF	N/A
Batch Bayesian Optimization For Replicable Experimental Design	Unknown	PDF	N/A
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models	Unknown	PDF	N/A
Diffused Task-Agnostic Milestone Planner	Unknown	PDF	N/A
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification	Unknown	PDF	N/A
Riemannian SAM: Sharpness-Aware Minimization on Riemannian Manifolds	Unknown	PDF	N/A
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs	Unknown	PDF	N/A
LEACE: Perfect linear concept erasure in closed form	Unknown	PDF	N/A
Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP	Unknown	PDF	N/A
Efficient Hyper-parameter Optimization with Cubic Regularization	Unknown	PDF	N/A
Effective Targeted Attacks for Adversarial Self-Supervised Learning	Unknown	PDF	N/A
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks	Unknown	PDF	N/A
Debiased and Denoised Entity Recognition from Distant Supervision	Unknown	PDF	N/A
Schema-learning and rebinding as mechanisms of in-context learning and emergence	Unknown	PDF	N/A
State Sequences Prediction via Fourier Transform for Representation Learning	Unknown	PDF	N/A
Analysis of Variance of Multiple Causal Networks	Unknown	PDF	N/A
Undirected Probabilistic Model for Tensor Decomposition	Unknown	PDF	N/A
Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes	Unknown	PDF	N/A
LICO: Explainable Models with Language-Image COnsistency	Unknown	PDF	N/A
Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks	Unknown	PDF	N/A
Active Learning-Based Species Range Estimation	Unknown	PDF	N/A
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport	Unknown	PDF	N/A
Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors	Unknown	PDF	N/A
The Utility of “Even if” Semifactual Explanation to Optimise Positive Outcomes	Unknown	PDF	N/A
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions	Unknown	PDF	N/A
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies	Unknown	PDF	N/A
Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming	Unknown	PDF	N/A
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension	Unknown	PDF	N/A
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach	Unknown	PDF	N/A
A Computationally Efficient Sparsified Online Newton Method	Unknown	PDF	N/A
Multi-Object Representation Learning via Feature Connectivity and Object-Centric Regularization	Unknown	PDF	N/A
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes	Unknown	PDF	N/A
Efficient Subgame Refinement for Extensive-form Games	Unknown	PDF	N/A
Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations	Unknown	PDF	N/A
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift	Unknown	PDF	N/A
Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization	Unknown	PDF	N/A
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective	Unknown	PDF	N/A
Contextually Affinitive Neighborhood Refinery for Deep Clustering	Unknown	PDF	N/A
A Dynamical System View of Langevin-Based Non-Convex Sampling	Unknown	PDF	N/A
Extracting Reward Functions from Diffusion Models	Unknown	PDF	N/A
Riemannian stochastic optimization methods avoid strict saddle points	Unknown	PDF	N/A
Rewiring Neurons in Non-Stationary Environments	Unknown	PDF	N/A
DIFFER:Decomposing Individual Reward for Fair Experience Replay in Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss	Unknown	PDF	N/A
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards	Unknown	PDF	N/A
Particle-based Variational Inference with Generalized Wasserstein Gradient Flow	Unknown	PDF	N/A
Soft-Unification in Deep Probabilistic Logic	Unknown	PDF	N/A
Robust covariance estimation with missing values and cell-wise contamination	Unknown	PDF	N/A
Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters	Unknown	PDF	N/A
Investigating how ReLU-networks encode symmetries	Unknown	PDF	N/A
Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification	Unknown	PDF	N/A
Activity Grammars for Temporal Action Segmentation	Unknown	PDF	N/A
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion	Unknown	PDF	N/A
Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator	Unknown	PDF	N/A
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model	Unknown	PDF	N/A
SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process	Unknown	PDF	N/A
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels	Unknown	PDF	N/A
Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory	Unknown	PDF	N/A
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition	Unknown	PDF	N/A
On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis	Unknown	PDF	N/A
An active learning framework for multi-group mean estimation	Unknown	PDF	N/A
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models	Unknown	PDF	N/A
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach	Unknown	PDF	N/A
Unsupervised Image Denoising with Score Function	Unknown	PDF	N/A
Reward Scale Robustness for Proximal Policy Optimization via DreamerV3 Tricks	Unknown	PDF	N/A
Optimal Transport Model Distributional Robustness	Unknown	PDF	N/A
WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding	Unknown	PDF	N/A
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay	Unknown	PDF	N/A
Information Theoretic Lower Bounds for Information Theoretic Upper Bounds	Unknown	PDF	N/A
Incomplete Multimodality-Diffused Emotion Recognition	Unknown	PDF	N/A
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models	Unknown	PDF	N/A
Toolformer: Language Models Can Teach Themselves to Use Tools	Unknown	PDF	N/A
Contrast, Attend and Diffuse to Decode High-Resolution Images from Brain Activities	Unknown	PDF	N/A
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization	Unknown	PDF	N/A
Sample-efficient Multi-objective Molecular Optimization with GFlowNets	Unknown	PDF	N/A
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels	Unknown	PDF	N/A
Flat Seeking Bayesian Neural Networks	Unknown	PDF	N/A
AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation	Unknown	PDF	N/A
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models	Unknown	PDF	N/A
Constructing Non-isotropic Gaussian Diffusion Model Using Isotropic Gaussian Diffusion Model for Image Editing	Unknown	PDF	N/A
Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL	Unknown	PDF	N/A
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection	Unknown	PDF	N/A
Nonparametric Teaching for Multiple Learners	Unknown	PDF	N/A
A Hierarchical Spatial Transformer for Massive Point Samples in Continuous Space	Unknown	PDF	N/A
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm	Unknown	PDF	N/A
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations	Unknown	PDF	N/A
REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling	Unknown	PDF	N/A
MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers	Unknown	PDF	N/A
Unsupervised Behavior Extraction via Random Intent Priors	Unknown	PDF	N/A
Towards Accelerated Model Training via Bayesian Data Selection	Unknown	PDF	N/A
Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction	Unknown	PDF	N/A
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild	Unknown	PDF	N/A
Mutual Information Regularized Offline Reinforcement Learning	Unknown	PDF	N/A
The Exact Sample Complexity Gain from Invariances for Kernel Regression	Unknown	PDF	N/A
Exploiting Contextual Objects and Relations for 3D Visual Grounding	Unknown	PDF	N/A
Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity	Unknown	PDF	N/A
Zero-Regret Performative Prediction Under Inequality Constraints	Unknown	PDF	N/A
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics	Unknown	PDF	N/A
Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage	Unknown	PDF	N/A
Bandit Social Learning under Myopic Behavior	Unknown	PDF	N/A
An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination	Unknown	PDF	N/A
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose Estimation	Unknown	PDF	N/A
Diversify \& Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement	Unknown	PDF	N/A
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem	Unknown	PDF	N/A
Compositional Foundation Models for Hierarchical Planning	Unknown	PDF	N/A
NPCL: Neural Processes for Uncertainty-Aware Continual Learning	Unknown	PDF	N/A
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization	Unknown	PDF	N/A
ARTree: A Deep Autoregressive Model for Phylogenetic Inference	Unknown	PDF	N/A
Graph Denoising Diffusion for Inverse Protein Folding	Unknown	PDF	N/A
Visual Instruction Inversion: Image Editing via Image Prompting	Unknown	PDF	N/A
DiViNeT: 3D Reconstruction from Disparate Views using Neural Template Regularization	Unknown	PDF	N/A
Unleash the Potential of Image Branch for Cross-modal 3D Object Detection	Unknown	PDF	N/A
Weakly Supervised 3D Open-vocabulary Segmentation	Unknown	PDF	N/A
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints	Unknown	PDF	N/A
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis	Unknown	PDF	N/A
A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization	Unknown	PDF	N/A
Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition	Unknown	PDF	N/A
On Differentially Private Sampling from Gaussian and Product Distributions	Unknown	PDF	N/A
On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm	Unknown	PDF	N/A
LightSpeed: Light and Fast Neural Light Fields on Mobile Devices	Unknown	PDF	N/A
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans	Unknown	PDF	N/A
Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding	Unknown	PDF	N/A
Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning	Unknown	PDF	N/A
Neural Oscillators are Universal	Unknown	PDF	N/A
Online Corrupted User Detection and Regret Minimization	Unknown	PDF	N/A
On the Gini-impurity Preservation For Privacy Random Forests	Unknown	PDF	N/A
On the Properties of Kullback-Leibler Divergence Between Multivariate Gaussian Distributions	Unknown	PDF	N/A
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations	Unknown	PDF	N/A
Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks	Unknown	PDF	N/A
Adaptive Test-Time Personalization for Federated Learning	Unknown	PDF	N/A
Errors-in-variables Fr\'echet Regression with Low-rank Covariate Approximation	Unknown	PDF	N/A
Federated Conditional Stochastic Optimization	Unknown	PDF	N/A
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization	Unknown	PDF	N/A
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts	Unknown	PDF	N/A
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration	Unknown	PDF	N/A
Gaussian Mixture Solvers for Diffusion Models	Unknown	PDF	N/A
Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping	Unknown	PDF	N/A
Hyperbolic VAE via Latent Gaussian Distributions	Unknown	PDF	N/A
Efficient Low-rank Backpropagation for Vision Transformer Adaptation	Unknown	PDF	N/A
Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm	Unknown	PDF	N/A
Static and Sequential Malicious Attacks in the Context of Selective Forgetting	Unknown	PDF	N/A
Online Clustering of Bandits with Misspecified User Models	Unknown	PDF	N/A
The probability flow ODE is provably fast	Unknown	PDF	N/A
On Calibrating Diffusion Probabilistic Models	Unknown	PDF	N/A
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions	Unknown	PDF	N/A
Statistical Insights into HSIC in High Dimensions	Unknown	PDF	N/A
Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning	Unknown	PDF	N/A
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration	Unknown	PDF	N/A
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback	Unknown	PDF	N/A
Restart Sampling for Improving Generative Processes	Unknown	PDF	N/A
Geometry-Aware Adaptation for Pretrained Models	Unknown	PDF	N/A
Incentives in Private Collaborative Machine Learning	Unknown	PDF	N/A
Bayesian Optimization with Cost-varying Variable Subsets	Unknown	PDF	N/A
Conditional Score Guidance for Text-Driven Image-to-Image Translation	Unknown	PDF	N/A
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism	Unknown	PDF	N/A
What Makes Good Examples for Visual In-Context Learning?	Unknown	PDF	N/A
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions	Unknown	PDF	N/A
Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration	Unknown	PDF	N/A
D-Separation for Causal Self-Explanation	Unknown	PDF	N/A
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?	Unknown	PDF	N/A
Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint	Unknown	PDF	N/A
DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein	Unknown	PDF	N/A
Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints	Unknown	PDF	N/A
Achieving Cross Modal Generalization with Multimodal Unified Representation	Unknown	PDF	N/A
Generator Identification for Linear SDEs with Additive and Multiplicative Noise	Unknown	PDF	N/A
On the Overlooked Structure of Stochastic Gradients	Unknown	PDF	N/A
Private Everlasting Prediction	Unknown	PDF	N/A
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning	Unknown	PDF	N/A
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models	Unknown	PDF	N/A
In-Context Learning Unlocked for Diffusion Models	Unknown	PDF	N/A
MGDD: A Meta Generator for Fast Dataset Distillation	Unknown	PDF	N/A
Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification	Unknown	PDF	N/A
Nominality Score Conditioned Time Series Anomaly Detection by Point/Sequential Reconstruction	Unknown	PDF	N/A
A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance	Unknown	PDF	N/A
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning	Unknown	PDF	N/A
FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy	Unknown	PDF	N/A
$L_2$-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting	Unknown	PDF	N/A
Federated Spectral Clustering via Secure Similarity Reconstruction	Unknown	PDF	N/A
Neural Graph Generation from Graph Statistics	Unknown	PDF	N/A
Model-Based Control with Sparse Neural Dynamics	Unknown	PDF	N/A
Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training	Unknown	PDF	N/A
Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization	Unknown	PDF	N/A
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings	Unknown	PDF	N/A
Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems	Unknown	PDF	N/A
Tuning Multi-mode Token-level Prompt Alignment across Modalities	Unknown	PDF	N/A
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies	Unknown	PDF	N/A
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions	Unknown	PDF	N/A
Text Promptable Surgical Instrument Segmentation with Vision-Language Models	Unknown	PDF	N/A
Towards A Richer 2D Understanding of Hands at Scale	Unknown	PDF	N/A
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent	Unknown	PDF	N/A
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning	Unknown	PDF	N/A
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective	Unknown	PDF	N/A
Feature Adaptation for Sparse Linear Regression	Unknown	PDF	N/A
Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes	Unknown	PDF	N/A
Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing	Unknown	PDF	N/A
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series	Unknown	PDF	N/A
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method	Unknown	PDF	N/A
Efficient Testable Learning of Halfspaces with Adversarial Label Noise	Unknown	PDF	N/A
Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications	Unknown	PDF	N/A
Stable and low-precision training for large-scale vision-language models	Unknown	PDF	N/A
Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior	Unknown	PDF	N/A
Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models	Unknown	PDF	N/A
TabMT: Generating tabular data with masked transformers	Unknown	PDF	N/A
Tools for Verifying Neural Models' Training Data	Unknown	PDF	N/A
Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks	Unknown	PDF	N/A
Clustering the Sketch: Dynamic Compression for Embedding Tables	Unknown	PDF	N/A
Inconsistency, Instability, and Generalization Gap of Deep Neural Network Training	Unknown	PDF	N/A
Finite-Time Logarithmic Bayes Regret Upper Bounds	Unknown	PDF	N/A
Adversarial Resilience in Sequential Prediction via Abstention	Unknown	PDF	N/A
Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge	Unknown	PDF	N/A
Balancing memorization and generalization in RNNs for high performance brain-machine Interfaces	Unknown	PDF	N/A
Understanding and Mitigating Copying in Diffusion Models	Unknown	PDF	N/A
Bootstrapping Vision-Language Learning with Decoupled Language Pre-training	Unknown	PDF	N/A
On Generalization Bounds for Projective Clustering	Unknown	PDF	N/A
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval	Unknown	PDF	N/A
QuIP: 2-Bit Quantization of Large Language Models With Guarantees	Unknown	PDF	N/A
Approximately Equivariant Graph Networks	Unknown	PDF	N/A
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels	Unknown	PDF	N/A
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data	Unknown	PDF	N/A
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks	Unknown	PDF	N/A
Where Did I Come From? Origin Attribution of AI-Generated Images	Unknown	PDF	N/A
Your representations are in the network: composable and parallel adaptation for large scale models	Unknown	PDF	N/A
Faster Relative Entropy Coding with Greedy Rejection Coding	Unknown	PDF	N/A
Visual Instruction Tuning	Unknown	PDF	N/A
Aiming towards the minimizers: fast convergence of SGD for overparametrized problems	Unknown	PDF	N/A
Near-Optimal $k$-Clustering in the Sliding Window Model	Unknown	PDF	N/A
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM	Unknown	PDF	N/A
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model	Unknown	PDF	N/A
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors	Unknown	PDF	N/A
Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits	Unknown	PDF	N/A
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning	Unknown	PDF	N/A
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective	Unknown	PDF	N/A
InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion	Unknown	PDF	N/A
The Crucial Role of Normalization in Sharpness-Aware Minimization	Unknown	PDF	N/A
Causal Imitability Under Context-Specific Independence Relations	Unknown	PDF	N/A
Identifiability Guarantees for Causal Disentanglement from Soft Interventions	Unknown	PDF	N/A
Anonymous and Copy-Robust Delegations for Liquid Democracy	Unknown	PDF	N/A
Boosting with Tempered Exponential Measures	Unknown	PDF	N/A
TART: A plug-and-play Transformer module for task-agnostic reasoning	Unknown	PDF	N/A
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning	Unknown	PDF	N/A
Human-like Few-Shot Learning via Bayesian Reasoning over Natural Language	Unknown	PDF	N/A
Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement	Unknown	PDF	N/A
Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought	Unknown	PDF	N/A
Distribution Learnability and Robustness	Unknown	PDF	N/A
Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms	Unknown	PDF	N/A
Stochastic Multi-armed Bandits: Optimal Trade-off among Optimality, Consistency, and Tail Risk	Unknown	PDF	N/A
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models	Unknown	PDF	N/A
An $\varepsilon$-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond	Unknown	PDF	N/A
GloptiNets: Scalable Non-Convex Optimization with Certificates	Unknown	PDF	N/A
Time Series as Images: Vision Transformer for Irregularly Sampled Time Series	Unknown	PDF	N/A
CELLE-2: Translating Proteins to Pictures and Back with a Bidirectional Text-to-Image Transformer	Unknown	PDF	N/A
Explaining Predictive Uncertainty with Information Theoretic Shapley Values	Unknown	PDF	N/A
The Behavior and Convergence of Local Bayesian Optimization	Unknown	PDF	N/A
The Transient Nature of Emergent In-Context Learning in Transformers	Unknown	PDF	N/A
Im-Promptu: In-Context Composition from Image Prompts	Unknown	PDF	N/A
Scalable Membership Inference Attacks via Quantile Regression	Unknown	PDF	N/A
Augmenting Language Models with Long-Term Memory	Unknown	PDF	N/A
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness	Unknown	PDF	N/A
Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments	Unknown	PDF	N/A
Information-guided Planning: An Online Approach for Partially Observable Problems	Unknown	PDF	N/A
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models	Unknown	PDF	N/A
Fast Optimal Locally Private Mean Estimation via Random Projections	Unknown	PDF	N/A
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds	Unknown	PDF	N/A
On the impact of activation and normalization in obtaining isometric embeddings at initialization	Unknown	PDF	N/A
Zero-One Laws of Graph Neural Networks	Unknown	PDF	N/A
Deep Stochastic Processes via Functional Markov Transition Operators	Unknown	PDF	N/A
Computing a human-like reaction time metric from stable recurrent vision models	Unknown	PDF	N/A
What can a Single Attention Layer Learn? A Study Through the Random Features Lens	Unknown	PDF	N/A
Active representation learning for general task space with applications in robotics	Unknown	PDF	N/A
Analyzing Vision Transformers for Image Classification in Class Embedding Space	Unknown	PDF	N/A
Regularity as Intrinsic Reward for Free Play	Unknown	PDF	N/A
Differentially Private Approximate Near Neighbor Counting in High Dimensions	Unknown	PDF	N/A
Adaptive Algorithms for Relaxed Pareto Set Identification	Unknown	PDF	N/A
Fitting trees to $\ell_1$-hyperbolic distances	Unknown	PDF	N/A
Formalizing locality for normative synaptic plasticity models	Unknown	PDF	N/A
Thin and deep Gaussian processes	Unknown	PDF	N/A
Tempo Adaptation in Non-stationary Reinforcement Learning	Unknown	PDF	N/A
Reconciling Competing Sampling Strategies of Network Embedding	Unknown	PDF	N/A
Convergence of Actor-Critic with Multi-Layer Neural Networks	Unknown	PDF	N/A
An Efficient Doubly-Robust Test for the Kernel Treatment Effect	Unknown	PDF	N/A
Incentivizing Honesty among Competitors in Collaborative Learning and Optimization	Unknown	PDF	N/A
From Trainable Negative Depth to Edge Heterophily in Graphs	Unknown	PDF	N/A
Siamese Masked Autoencoders	Unknown	PDF	N/A
PoET: A generative model of protein families as sequences-of-sequences	Unknown	PDF	N/A
Conformal Prediction for Uncertainty-Aware Planning with Diffusion Dynamics Model	Unknown	PDF	N/A
ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image	Unknown	PDF	N/A
A Unified Fast Gradient Clipping Framework for DP-SGD	Unknown	PDF	N/A
LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer	Unknown	PDF	N/A
Continual Learning for Instruction Following from Realtime Feedback	Unknown	PDF	N/A
Neural Data Transformer 2: Multi-context Pretraining for Neural Spiking Activity	Unknown	PDF	N/A
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model	Unknown	PDF	N/A
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions	Unknown	PDF	N/A
Hyper-HMM: aligning human brains and semantic features in a common latent event space	Unknown	PDF	N/A
Learning better with Dale’s Law: A Spectral Perspective	Unknown	PDF	N/A
Long Sequence Hopfield Memory	Unknown	PDF	N/A
Minimum norm interpolation by perceptra: Explicit regularization and implicit bias	Unknown	PDF	N/A
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models	Unknown	PDF	N/A
Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints	Unknown	PDF	N/A
On the Robustness of Mechanism Design under Total Variation Distance	Unknown	PDF	N/A
Complexity of Derivative-Free Policy Optimization for Structured $\mathcal{H}_\infty$ Control	Unknown	PDF	N/A
Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling	Unknown	PDF	N/A
Learning via Wasserstein-Based High Probability Generalisation Bounds	Unknown	PDF	N/A
Swarm Reinforcement Learning for Adaptive Mesh Refinement	Unknown	PDF	N/A
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system	Unknown	PDF	N/A
Online Pricing for Multi-User Multi-Item Markets	Unknown	PDF	N/A
Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs	Unknown	PDF	N/A
Systematic Visual Reasoning through Object-Centric Relational Abstraction	Unknown	PDF	N/A
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making	Unknown	PDF	N/A
$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning	Unknown	PDF	N/A
Break It Down: Evidence for Structural Compositionality in Neural Networks	Unknown	PDF	N/A
Latent Diffusion for Language Generation	Unknown	PDF	N/A
Causal Fairness for Outcome Control	Unknown	PDF	N/A
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation	Unknown	PDF	N/A
Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning	Unknown	PDF	N/A
Unsupervised Learning for Solving the Travelling Salesman Problem	Unknown	PDF	N/A
PlanE: Representation Learning over Planar Graphs	Unknown	PDF	N/A
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference	Unknown	PDF	N/A
Collapsed Inference for Bayesian Deep Learning	Unknown	PDF	N/A
RegBN: Batch Normalization of Multimodal Data with Regularization	Unknown	PDF	N/A
Policy Optimization for Continuous Reinforcement Learning	Unknown	PDF	N/A
Video-Mined Task Graphs for Keystep Recognition in Instructional Videos	Unknown	PDF	N/A
Algorithm Selection for Deep Active Learning with Imbalanced Datasets	Unknown	PDF	N/A
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent	Unknown	PDF	N/A
Loss Dynamics of Temporal Difference Reinforcement Learning	Unknown	PDF	N/A
Minimum-Risk Recalibration of Classifiers	Unknown	PDF	N/A
When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability	Unknown	PDF	N/A
Active Observing in Continuous-time Control	Unknown	PDF	N/A
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks	Unknown	PDF	N/A
Scaling Open-Vocabulary Object Detection	Unknown	PDF	N/A
Neural Image Compression: Generalization, Robustness, and Spectral Biases	Unknown	PDF	N/A
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance	Unknown	PDF	N/A
How Does Adaptive Optimization Impact Local Neural Network Geometry?	Unknown	PDF	N/A
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer	Unknown	PDF	N/A
Streaming Algorithms and Lower Bounds for Estimating Correlation Clustering Cost	Unknown	PDF	N/A
Gaussian Differential Privacy on Riemannian Manifolds	Unknown	PDF	N/A
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems	Unknown	PDF	N/A
Auditing for Human Expertise	Unknown	PDF	N/A
Norm-based Generalization Bounds for Sparse Neural Networks	Unknown	PDF	N/A
Replicable Reinforcement Learning	Unknown	PDF	N/A
CorresNeRF: Image Correspondence Priors for Neural Radiance Fields	Unknown	PDF	N/A
Stability of Random Forests and Coverage of Random-Forest Prediction Intervals	Unknown	PDF	N/A
CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions	Unknown	PDF	N/A
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First	Unknown	PDF	N/A
On the Importance of Exploration for Generalization in Reinforcement Learning	Unknown	PDF	N/A
3D-LLM: Injecting the 3D World into Large Language Models	Unknown	PDF	N/A
A Unified Approach to Count-Based Weakly Supervised Learning	Unknown	PDF	N/A
On Single-Index Models beyond Gaussian Data	Unknown	PDF	N/A
Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions	Unknown	PDF	N/A
Accelerating Motion Planning via Optimal Transport	Unknown	PDF	N/A
A General Framework for Robust G-Invariance in G-Equivariant Networks	Unknown	PDF	N/A
Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars	Unknown	PDF	N/A
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction	Unknown	PDF	N/A
EgoDistill: Egocentric Head Motion Distillation for Efficient Video Understanding	Unknown	PDF	N/A
Distributionally Robust Linear Quadratic Control	Unknown	PDF	N/A
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization	Unknown	PDF	N/A
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks	Unknown	PDF	N/A
Tree Variational Autoencoders	Unknown	PDF	N/A
FlowCam: Training Generalizable 3D Radiance Fields without Camera Poses via Pixel-Aligned Scene Flow	Unknown	PDF	N/A
EgoEnv: Human-centric environment representations from egocentric video	Unknown	PDF	N/A
Debiasing Conditional Stochastic Optimization	Unknown	PDF	N/A
A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning	Unknown	PDF	N/A
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training	Unknown	PDF	N/A
Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing	Unknown	PDF	N/A
On Computing Pairwise Statistics with Local Differential Privacy	Unknown	PDF	N/A
Brain encoding models based on multimodal transformers can transfer across language and vision	Unknown	PDF	N/A
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning	Unknown	PDF	N/A
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models	Unknown	PDF	N/A
Honesty Is the Best Policy: Defining and Mitigating AI Deception	Unknown	PDF	N/A
Unbalanced Low-rank Optimal Transport Solvers	Unknown	PDF	N/A
Auditing Fairness by Betting	Unknown	PDF	N/A
Learning from Active Human Involvement through Proxy Value Propagation	Unknown	PDF	N/A
Towards Last-layer Retraining for Group Robustness with Fewer Annotations	Unknown	PDF	N/A
Differentiable Sampling of Categorical Distributions Using the CatLog-Derivative Trick	Unknown	PDF	N/A
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning	Unknown	PDF	N/A
Meet in the Middle: A New Pre-training Paradigm	Unknown	PDF	N/A
Adversarial Examples Are Not Real Features	Unknown	PDF	N/A
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision	Unknown	PDF	N/A
A graphon-signal analysis of graph neural networks	Unknown	PDF	N/A
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision	Unknown	PDF	N/A
Generative Neural Fields by Mixtures of Neural Implicit Functions	Unknown	PDF	N/A
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization	Unknown	PDF	N/A
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding	Unknown	PDF	N/A
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network	Unknown	PDF	N/A
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error	Unknown	PDF	N/A
Monte Carlo Tree Search with Boltzmann Exploration	Unknown	PDF	N/A
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation	Unknown	PDF	N/A
Supply-Side Equilibria in Recommender Systems	Unknown	PDF	N/A
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems	Unknown	PDF	N/A
Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks	Unknown	PDF	N/A
CBD: A Certified Backdoor Detector Based on Local Dominant Probability	Unknown	PDF	N/A
Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs	Unknown	PDF	N/A
Differentiable Clustering with Perturbed Spanning Forests	Unknown	PDF	N/A
Alternating Updates for Efficient Transformers	Unknown	PDF	N/A
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition	Unknown	PDF	N/A
On the Exploration of Local Significant Differences For Two-Sample Test	Unknown	PDF	N/A
Meta-Learning with Neural Bandit Scheduler	Unknown	PDF	N/A
Learning Causal Models under Independent Changes	Unknown	PDF	N/A
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization	Unknown	PDF	N/A
The Clock and the Pizza: Two Stories in Mechanistic Explanation of Neural Networks	Unknown	PDF	N/A
Pengi: An Audio Language Model for Audio Tasks	Unknown	PDF	N/A
Beyond MLE: Convex Learning for Text Generation	Unknown	PDF	N/A
Online Control for Meta-optimization	Unknown	PDF	N/A
Cognitive Steering in Deep Neural Networks via Long-Range Modulatory Feedback Connections	Unknown	PDF	N/A
Moment Matching Denoising Gibbs Sampling	Unknown	PDF	N/A
Optimal Excess Risk Bounds for Empirical Risk Minimization on $p$-Norm Linear Regression	Unknown	PDF	N/A
Conditional score-based diffusion models for Bayesian inference in infinite dimensions	Unknown	PDF	N/A
Topological Parallax: A Geometric Specification for Deep Perception Models	Unknown	PDF	N/A
TIES-Merging: Resolving Interference When Merging Models	Unknown	PDF	N/A
Joint processing of linguistic properties in brains and language models	Unknown	PDF	N/A
Self-Correcting Bayesian Optimization through Bayesian Active Learning	Unknown	PDF	N/A
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions	Unknown	PDF	N/A
GEQ: Gaussian Kernel Inspired Equilibrium Models	Unknown	PDF	N/A
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents	Unknown	PDF	N/A
$SE(3)$ Equivariant Convolution and Transformer in Ray Space	Unknown	PDF	N/A
Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization	Unknown	PDF	N/A
Creating Multi-Level Skill Hierarchies in Reinforcement Learning	Unknown	PDF	N/A
Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow	Unknown	PDF	N/A
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition	Unknown	PDF	N/A
Speculative Decoding with Big Little Decoder	Unknown	PDF	N/A
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation	Unknown	PDF	N/A
Stein $\Pi$-Importance Sampling	Unknown	PDF	N/A
Unexpected Improvements to Expected Improvement for Bayesian Optimization	Unknown	PDF	N/A
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions	Unknown	PDF	N/A
A Unified Detection Framework for Inference-Stage Backdoor Defenses	Unknown	PDF	N/A
Finding Local Minima Efficiently in Decentralized Optimization	Unknown	PDF	N/A
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?	Unknown	PDF	N/A
Jigsaw: Learning to Assemble Multiple Fractured Objects	Unknown	PDF	N/A
Sparsity-Preserving Differentially Private Training of Large Embedding Models	Unknown	PDF	N/A
On the choice of Perception Loss Function for Learned Video Compression	Unknown	PDF	N/A
PrObeD: Proactive Object Detection Wrapper	Unknown	PDF	N/A
Refined Mechanism Design for Approximately Structured Priors via Active Regression	Unknown	PDF	N/A
CAT-Walk: Inductive Hypergraph Learning via Set Walks	Unknown	PDF	N/A
A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization	Unknown	PDF	N/A
A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence	Unknown	PDF	N/A
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems	Unknown	PDF	N/A
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making	Unknown	PDF	N/A
Self-Consistent Velocity Matching of Probability Flows	Unknown	PDF	N/A
An Inverse Scaling Law for CLIP Training	Unknown	PDF	N/A
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb	Unknown	PDF	N/A
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation	Unknown	PDF	N/A
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective	Unknown	PDF	N/A
On Proper Learnability between Average- and Worst-case Robustness	Unknown	PDF	N/A
Should I Stop or Should I Go: Early Stopping with Heterogeneous Populations	Unknown	PDF	N/A
On the Learnability of Multilabel Ranking	Unknown	PDF	N/A
Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces	Unknown	PDF	N/A
Global Identifiability of $\ell_1$-based Dictionary Learning via Matrix Volume Optimization	Unknown	PDF	N/A
Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations	Unknown	PDF	N/A
Learning a 1-layer conditional generative model in total variation	Unknown	PDF	N/A
TaskMet: Task-driven Metric Learning for Model Learning	Unknown	PDF	N/A
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors	Unknown	PDF	N/A
LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees	Unknown	PDF	N/A
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning	Unknown	PDF	N/A
Kissing to Find a Match: Efficient Low-Rank Permutation Representation	Unknown	PDF	N/A
Differentially Private Image Classification by Learning Priors from Random Processes	Unknown	PDF	N/A
Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework	Unknown	PDF	N/A
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation	Unknown	PDF	N/A
Anytime-Competitive Reinforcement Learning with Policy Prior	Unknown	PDF	N/A
Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models	Unknown	PDF	N/A
Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards	Unknown	PDF	N/A
Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations	Unknown	PDF	N/A
Exponential Lower Bounds for Fictitious Play in Potential Games	Unknown	PDF	N/A
NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs	Unknown	PDF	N/A
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering	Unknown	PDF	N/A
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data	Unknown	PDF	N/A
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities	Unknown	PDF	N/A
Data-Informed Geometric Space Selection	Unknown	PDF	N/A
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization	Unknown	PDF	N/A
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks	Unknown	PDF	N/A
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation	Unknown	PDF	N/A
Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models	Unknown	PDF	N/A
Budgeting Counterfactual for Offline RL	Unknown	PDF	N/A
T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization	Unknown	PDF	N/A
Towards Free Data Selection with General-Purpose Models	Unknown	PDF	N/A
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection	Unknown	PDF	N/A
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems	Unknown	PDF	N/A
Provably (More) Sample-Efficient Offline RL with Options	Unknown	PDF	N/A
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths	Unknown	PDF	N/A
Survival Permanental Processes for Survival Analysis with Time-Varying Covariates	Unknown	PDF	N/A
Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems	Unknown	PDF	N/A
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes	Unknown	PDF	N/A
Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning	Unknown	PDF	N/A
Implicit Bias of (Stochastic) Gradient Descent for Rank-1 Linear Neural Network	Unknown	PDF	N/A
Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback	Unknown	PDF	N/A
Maximum State Entropy Exploration using Predecessor and Successor Representations	Unknown	PDF	N/A
E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning	Unknown	PDF	N/A
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning	Unknown	PDF	N/A
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks	Unknown	PDF	N/A
Convolutional State Space Models for Long-Range Spatiotemporal Modeling	Unknown	PDF	N/A
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback	Unknown	PDF	N/A
Look Ma, No Hands! Agent-Environment Factorization of Egocentric Videos	Unknown	PDF	N/A
Is Learning in Games Good for the Learners?	Unknown	PDF	N/A
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data	Unknown	PDF	N/A
Content-based Unrestricted Adversarial Attack	Unknown	PDF	N/A
Adapting Fairness Interventions to Missing Values	Unknown	PDF	N/A
Intriguing Properties of Quantization at Scale	Unknown	PDF	N/A
ReSync: Riemannian Subgradient-based Robust Rotation Synchronization	Unknown	PDF	N/A
Squared Neural Families: A New Class of Tractable Density Models	Unknown	PDF	N/A
Towards Symmetry-Aware Generation of Periodic Materials	Unknown	PDF	N/A
GraphMP: Graph Neural Network-based Motion Planning with Efficient Graph Search	Unknown	PDF	N/A
ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting	Unknown	PDF	N/A
Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation	Unknown	PDF	N/A
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects	Unknown	PDF	N/A
A General Theory of Correct, Incorrect, and Extrinsic Equivariance	Unknown	PDF	N/A
Multi-Fidelity Multi-Armed Bandits Revisited	Unknown	PDF	N/A
Rethinking Conditional Diffusion Sampling with Progressive Guidance	Unknown	PDF	N/A
Deep Non-line-of-sight Imaging from Under-scanning Measurements	Unknown	PDF	N/A
Model Shapley: Equitable Model Valuation with Black-box Access	Unknown	PDF	N/A
Black-box Backdoor Defense via Zero-shot Image Purification	Unknown	PDF	N/A
Many-body Approximation for Non-negative Tensors	Unknown	PDF	N/A
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding	Unknown	PDF	N/A
Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent	Unknown	PDF	N/A
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis	Unknown	PDF	N/A
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models	Unknown	PDF	N/A
Invariant Learning via Probability of Sufficient and Necessary Causes	Unknown	PDF	N/A
Fractal Landscapes in Policy Optimization	Unknown	PDF	N/A
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity	Unknown	PDF	N/A
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds	Unknown	PDF	N/A
Geometric Analysis of Matrix Sensing over Graphs	Unknown	PDF	N/A
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes	Unknown	PDF	N/A
HASSOD: Hierarchical Adaptive Self-Supervised Object Detection	Unknown	PDF	N/A
Byzantine-Tolerant Methods for Distributed Variational Inequalities	Unknown	PDF	N/A
Practical Contextual Bandits with Feedback Graphs	Unknown	PDF	N/A
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay	Unknown	PDF	N/A
Disentanglement via Latent Quantization	Unknown	PDF	N/A
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning	Unknown	PDF	N/A
Smoothed Analysis of Sequential Probability Assignment	Unknown	PDF	N/A
Solving a Class of Non-Convex Minimax Optimization in Federated Learning	Unknown	PDF	N/A
DinoSR: Self-Distillation and Online Clustering for Self-supervised Speech Representation Learning	Unknown	PDF	N/A
AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders	Unknown	PDF	N/A
Causal discovery from observational and interventional data across multiple environments	Unknown	PDF	N/A
Neural Lyapunov Control for Discrete-Time Systems	Unknown	PDF	N/A
Dream the Impossible: Outlier Imagination with Diffusion Models	Unknown	PDF	N/A
Neural Algorithmic Reasoning Without Intermediate Supervision	Unknown	PDF	N/A
Energy-Efficient Scheduling with Predictions	Unknown	PDF	N/A
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics	Unknown	PDF	N/A
Does Visual Pretraining Help End-to-End Reasoning?	Unknown	PDF	N/A
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders	Unknown	PDF	N/A
For SALE: State-Action Representation Learning for Deep Reinforcement Learning	Unknown	PDF	N/A
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution	Unknown	PDF	N/A
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation	Unknown	PDF	N/A
Time-uniform confidence bands for the CDF under nonstationarity	Unknown	PDF	N/A
On the spectral bias of two-layer linear networks	Unknown	PDF	N/A
Learning to Configure Separators in Branch-and-Cut	Unknown	PDF	N/A
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples	Unknown	PDF	N/A
Provable convergence guarantees for black-box variational inference	Unknown	PDF	N/A
VaRT: Variational Regression Trees	Unknown	PDF	N/A
Unlimiformer: Long-Range Transformers with Unlimited Length Input	Unknown	PDF	N/A
Inverse Reinforcement Learning with the Average Reward Criterion	Unknown	PDF	N/A
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence	Unknown	PDF	N/A
Asymmetric Certified Robustness via Feature-Convex Neural Networks	Unknown	PDF	N/A
Learning Exponential Families from Truncated Samples	Unknown	PDF	N/A
Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio	Unknown	PDF	N/A
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman	Unknown	PDF	N/A
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network	Unknown	PDF	N/A
Geodesic Multi-Modal Mixup for Robust Fine-Tuning	Unknown	PDF	N/A
Conditional independence testing under misspecified inductive biases	Unknown	PDF	N/A
What’s Left? Concept Grounding with Logic-Enhanced Foundation Models	Unknown	PDF	N/A
Revisiting the Minimalist Approach to Offline Reinforcement Learning	Unknown	PDF	N/A
Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization	Unknown	PDF	N/A
Coupled Reconstruction of Cortical Surfaces by Diffeomorphic Mesh Deformation	Unknown	PDF	N/A
Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel	Unknown	PDF	N/A
Differentially Private Statistical Inference through $\beta$-Divergence One Posterior Sampling	Unknown	PDF	N/A
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods	Unknown	PDF	N/A
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder	Unknown	PDF	N/A
HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception	Unknown	PDF	N/A
Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability	Unknown	PDF	N/A
Fair Allocation of Indivisible Chores: Beyond Additive Costs	Unknown	PDF	N/A
Supported Value Regularization for Offline Reinforcement Learning	Unknown	PDF	N/A
Sample Complexity of Forecast Aggregation	Unknown	PDF	N/A
Learning Functional Transduction	Unknown	PDF	N/A
Label-Only Model Inversion Attacks via Knowledge Transfer	Unknown	PDF	N/A
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks	Unknown	PDF	N/A
Random Cuts are Optimal for Explainable k-Medians	Unknown	PDF	N/A
FGPrompt: Fine-grained Goal Prompting for Image-goal Navigation	Unknown	PDF	N/A
Fine-grained Expressivity of Graph Neural Networks	Unknown	PDF	N/A
Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling	Unknown	PDF	N/A
Data Minimization at Inference Time	Unknown	PDF	N/A
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods	Unknown	PDF	N/A
Near-Linear Time Algorithm for the Chamfer Distance	Unknown	PDF	N/A
Language Model Tokenizers Introduce Unfairness Between Languages	Unknown	PDF	N/A
History Filtering in Imperfect Information Games: Algorithms and Complexity	Unknown	PDF	N/A
Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions	Unknown	PDF	N/A
Fast Trainable Projection for Robust Fine-tuning	Unknown	PDF	N/A
MultiFusion: Fusing Pre-Trained Models for Multi-Lingual, Multi-Modal Image Generation	Unknown	PDF	N/A
Entropic Neural Optimal Transport via Diffusion Processes	Unknown	PDF	N/A
Semi-Supervised Domain Generalization with Known and Unknown Classes	Unknown	PDF	N/A
Representation Learning via Consistent Assignment of Views over Random Partitions	Unknown	PDF	N/A
Test-time Training for Matching-based Video Object Segmentation	Unknown	PDF	N/A
Data Augmentations for Improved (Large) Language Model Generalization	Unknown	PDF	N/A
Revisiting Implicit Differentiation for Learning Problems in Optimal Control	Unknown	PDF	N/A
Learning Invariant Molecular Representation in Latent Discrete Space	Unknown	PDF	N/A
High-dimensional Asymptotics of Denoising Autoencoders	Unknown	PDF	N/A
Tame a Wild Camera: In-the-Wild Monocular Camera Calibration	Unknown	PDF	N/A
3D molecule generation by denoising voxel grids	Unknown	PDF	N/A
ProPILE: Probing Privacy Leakage in Large Language Models	Unknown	PDF	N/A
Described Object Detection: Liberating Object Detection with Flexible Expressions	Unknown	PDF	N/A
Kernelized Cumulants: Beyond Kernel Mean Embeddings	Unknown	PDF	N/A
Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution	Unknown	PDF	N/A
Learning from Visual Observation via Offline Pretrained State-to-Go Transformer	Unknown	PDF	N/A
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing	Unknown	PDF	N/A
Inserting Anybody in Diffusion Models via Celeb Basis	Unknown	PDF	N/A
Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets	Unknown	PDF	N/A
DreamHuman: Animatable 3D Avatars from Text	Unknown	PDF	N/A
Trade-off Between Efficiency and Consistency for Removal-based Explanations	Unknown	PDF	N/A
Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks	Unknown	PDF	N/A
Fairness Aware Counterfactuals for Subgroups	Unknown	PDF	N/A
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions	Unknown	PDF	N/A
Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents	Unknown	PDF	N/A
CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement	Unknown	PDF	N/A
New Complexity-Theoretic Frontiers of Tractability for Neural Network Training	Unknown	PDF	N/A
Saddle-to-Saddle Dynamics in Diagonal Linear Networks	Unknown	PDF	N/A
Covariance-adaptive best arm identification	Unknown	PDF	N/A
Metis: Understanding and Enhancing In-Network Regular Expressions	Unknown	PDF	N/A
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction	Unknown	PDF	N/A
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection	Unknown	PDF	N/A
Fed-CO$_{2}$: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning	Unknown	PDF	N/A
SOAR: Improved Indexing for Approximate Nearest Neighbor Search	Unknown	PDF	N/A
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society	Unknown	PDF	N/A
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion	Unknown	PDF	N/A
Fast Model DeBias with Machine Unlearning	Unknown	PDF	N/A
“Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization	Unknown	PDF	N/A
Hypervolume Maximization: A Geometric View of Pareto Set Learning	Unknown	PDF	N/A
RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy	Unknown	PDF	N/A
Norm-guided latent space exploration for text-to-image generation	Unknown	PDF	N/A
On skip connections and normalisation layers in deep optimisation	Unknown	PDF	N/A
Language Is Not All You Need: Aligning Perception with Language Models	Unknown	PDF	N/A
Robust Knowledge Transfer in Tiered Reinforcement Learning	Unknown	PDF	N/A
Cross-modal Prompts: Adapting Large Pre-trained Models for Audio-Visual Downstream Tasks	Unknown	PDF	N/A
On the Pareto Front of Multilingual Neural Machine Translation	Unknown	PDF	N/A
DDF-HO: Hand-Held Object Reconstruction via Conditional Directed Distance Field	Unknown	PDF	N/A
TexQ: Zero-shot Network Quantization with Texture Feature Distribution Calibration	Unknown	PDF	N/A
MCUFormer: Deploying Vision Tranformers on Microcontrollers with Limited Memory	Unknown	PDF	N/A
Train Hard, Fight Easy: Robust Meta Reinforcement Learning	Unknown	PDF	N/A
Greedy Poisson Rejection Sampling	Unknown	PDF	N/A
PanoGRF: Generalizable Spherical Radiance Fields for Wide-baseline Panoramas	Unknown	PDF	N/A
Time-Independent Information-Theoretic Generalization Bounds for SGLD	Unknown	PDF	N/A
Toward Re-Identifying Any Animal	Unknown	PDF	N/A
Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies	Unknown	PDF	N/A
AGD: an Auto-switchable Optimizer using Stepwise Gradient Difference for Preconditioning Matrix	Unknown	PDF	N/A
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation	Unknown	PDF	N/A
Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms	Unknown	PDF	N/A
Uncertainty-Aware Instance Reweighting for Off-Policy Learning	Unknown	PDF	N/A
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy	Unknown	PDF	N/A
Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games	Unknown	PDF	N/A
Functional Renyi Differential Privacy for Generative Modeling	Unknown	PDF	N/A
Simple and Asymmetric Graph Contrastive Learning without Augmentations	Unknown	PDF	N/A
Efficient Equivariant Transfer Learning from Pretrained Models	Unknown	PDF	N/A
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings	Unknown	PDF	N/A
When Does Optimizing a Proper Loss Yield Calibration?	Unknown	PDF	N/A
Partial Multi-Label Learning with Probabilistic Graphical Disambiguation	Unknown	PDF	N/A
Learning to Group Auxiliary Datasets for Molecule	Unknown	PDF	N/A
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations	Unknown	PDF	N/A
On the Relationship Between Relevance and Conflict in Online Social Link Recommendations	Unknown	PDF	N/A
QuadAttac$K$: A Quadratic Programming Approach to Learning Ordered Top-$K$ Adversarial Attacks	Unknown	PDF	N/A
UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition	Unknown	PDF	N/A
Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation	Unknown	PDF	N/A
Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation	Unknown	PDF	N/A
Online Nonstochastic Model-Free Reinforcement Learning	Unknown	PDF	N/A
Computing Approximate $\ell_p$ Sensitivities	Unknown	PDF	N/A
Loss Decoupling for Task-Agnostic Continual Learning	Unknown	PDF	N/A
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing	Unknown	PDF	N/A
Quantifying the Cost of Learning in Queueing Systems	Unknown	PDF	N/A
Self-Supervised Visual Acoustic Matching	Unknown	PDF	N/A
DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets	Unknown	PDF	N/A
Provably Efficient Algorithm for Nonstationary Low-Rank MDPs	Unknown	PDF	N/A
Practical and Asymptotically Exact Conditional Sampling in Diffusion Models	Unknown	PDF	N/A
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling	Unknown	PDF	N/A
Keypoint-Augmented Self-Supervised Learning for Medical Image Segmentation with Limited Annotation	Unknown	PDF	N/A
Behavior Alignment via Reward Function Optimization	Unknown	PDF	N/A
Self-Supervised Motion Magnification by Backpropagating Through Optical Flow	Unknown	PDF	N/A
Harnessing the power of choices in decision tree learning	Unknown	PDF	N/A
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints	Unknown	PDF	N/A
Cross-Episodic Curriculum for Transformer Agents	Unknown	PDF	N/A
Hypothesis Selection with Memory Constraints	Unknown	PDF	N/A
State2Explanation: Concept-Based Explanations to Benefit Agent Learning and User Understanding	Unknown	PDF	N/A
Guiding The Last Layer in Federated Learning with Pre-Trained Models	Unknown	PDF	N/A
Statistical Knowledge Assessment for Large Language Models	Unknown	PDF	N/A
Training neural operators to preserve invariant measures of chaotic attractors	Unknown	PDF	N/A
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models	Unknown	PDF	N/A
When is Agnostic Reinforcement Learning Statistically Tractable?	Unknown	PDF	N/A
Expressive probabilistic sampling in recurrent neural networks	Unknown	PDF	N/A
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing	Unknown	PDF	N/A
General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence	Unknown	PDF	N/A
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks	Unknown	PDF	N/A
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective	Unknown	PDF	N/A
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests	Unknown	PDF	N/A
FLSL: Feature-level Self-supervised Learning	Unknown	PDF	N/A
Mechanism Design for Collaborative Normal Mean Estimation	Unknown	PDF	N/A
Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning	Unknown	PDF	N/A
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts	Unknown	PDF	N/A
The Grand Illusion: The Myth of Software Portability and Implications for ML Progress.	Unknown	PDF	N/A
Kernel Quadrature with Randomly Pivoted Cholesky	Unknown	PDF	N/A
Bayesian target optimisation for high-precision holographic optogenetics	Unknown	PDF	N/A
Multi-task learning with summary statistics	Unknown	PDF	N/A
StreamNet: Memory-Efficient Streaming Tiny Deep Learning Inference on the Microcontroller	Unknown	PDF	N/A
TD Convergence: An Optimization Perspective	Unknown	PDF	N/A
Probabilistic Invariant Learning with Randomized Linear Classifiers	Unknown	PDF	N/A
Doubly Constrained Fair Clustering	Unknown	PDF	N/A
Bayesian Risk-Averse Q-Learning with Streaming Observations	Unknown	PDF	N/A
Block-State Transformers	Unknown	PDF	N/A
Localized Symbolic Knowledge Distillation for Visual Commonsense Models	Unknown	PDF	N/A
Collaboratively Learning Linear Models with Structured Missing Data	Unknown	PDF	N/A
Bi-Level Offline Policy Optimization with Limited Exploration	Unknown	PDF	N/A
Learning Nonparametric Latent Causal Graphs with Unknown Interventions	Unknown	PDF	N/A
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning	Unknown	PDF	N/A
Learning to Receive Help: Intervention-Aware Concept Embedding Models	Unknown	PDF	N/A
Uncovering Meanings of Embeddings via Partial Orthogonality	Unknown	PDF	N/A
Riemannian Projection-free Online Learning	Unknown	PDF	N/A
Online robust non-stationary estimation	Unknown	PDF	N/A
Scaling laws for language encoding models in fMRI	Unknown	PDF	N/A
LIMA: Less Is More for Alignment	Unknown	PDF	N/A
Gradient-Based Feature Learning under Structured Data	Unknown	PDF	N/A
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition	Unknown	PDF	N/A
OKRidge: Scalable Optimal k-Sparse Ridge Regression	Unknown	PDF	N/A
Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning	Unknown	PDF	N/A
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks	Unknown	PDF	N/A
The s-value: evaluating stability with respect to distributional shifts	Unknown	PDF	N/A
Generating Images with Multimodal Language Models	Unknown	PDF	N/A
Successor-Predecessor Intrinsic Exploration	Unknown	PDF	N/A
Blurred-Dilated Method for Adversarial Attacks	Unknown	PDF	N/A
CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning	Unknown	PDF	N/A
Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes	Unknown	PDF	N/A
Any-to-Any Generation via Composable Diffusion	Unknown	PDF	N/A
OBJECT 3DIT: Language-guided 3D-aware Image Editing	Unknown	PDF	N/A
Binarized Neural Machine Translation	Unknown	PDF	N/A
A Competitive Algorithm for Agnostic Active Learning	Unknown	PDF	N/A
Fine-Tuning Language Models with Just Forward Passes	Unknown	PDF	N/A
Robust Concept Erasure via Kernelized Rate-Distortion Maximization	Unknown	PDF	N/A
Double Auctions with Two-sided Bandit Feedback	Unknown	PDF	N/A
Lower Bounds on Adaptive Sensing for Matrix Recovery	Unknown	PDF	N/A
FedNAR: Federated Optimization with Normalized Annealing Regularization	Unknown	PDF	N/A
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics	Unknown	PDF	N/A
GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization	Unknown	PDF	N/A
Distributed Inference and Fine-tuning of Large Language Models Over The Internet	Unknown	PDF	N/A
Mechanic: A Learning Rate Tuner	Unknown	PDF	N/A
Going beyond persistent homology using persistent homology	Unknown	PDF	N/A
Adaptive Privacy Composition for Accuracy-first Mechanisms	Unknown	PDF	N/A
Temporally Disentangled Representation Learning under Unknown Nonstationarity	Unknown	PDF	N/A
Evaluating the Moral Beliefs Encoded in LLMs	Unknown	PDF	N/A
The Adversarial Consistency of Surrogate Risks for Binary Classification	Unknown	PDF	N/A
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners	Unknown	PDF	N/A
Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning	Unknown	PDF	N/A
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking	Unknown	PDF	N/A
Context-lumpable stochastic bandits	Unknown	PDF	N/A
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows	Unknown	PDF	N/A
Diverse Conventions for Human-AI Collaboration	Unknown	PDF	N/A
RECKONING: Reasoning through Dynamic Knowledge Encoding	Unknown	PDF	N/A
Optimistic Rates for Multi-Task Representation Learning	Unknown	PDF	N/A
Neural Priming for Sample-Efficient Adaptation	Unknown	PDF	N/A
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models	Unknown	PDF	N/A
Easy Learning from Label Proportions	Unknown	PDF	N/A
Propagating Knowledge Updates to LMs Through Distillation	Unknown	PDF	N/A
Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles	Unknown	PDF	N/A
Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion	Unknown	PDF	N/A
What Planning Problems Can A Relational Neural Network Solve?	Unknown	PDF	N/A
Optimal Learners for Realizable Regression: PAC Learning and Online Learning	Unknown	PDF	N/A
Fragment-based Pretraining and Finetuning on Molecular Graphs	Unknown	PDF	N/A
Non-Stationary Bandits with Auto-Regressive Temporal Dependency	Unknown	PDF	N/A
Learning Universal Policies via Text-Guided Video Generation	Unknown	PDF	N/A
Resetting the Optimizer in Deep RL: An Empirical Study	Unknown	PDF	N/A
When are ensembles really effective?	Unknown	PDF	N/A
Learning Repeatable Speech Embeddings Using An Intra-class Correlation Regularizer	Unknown	PDF	N/A
Feature Selection in the Contrastive Analysis Setting	Unknown	PDF	N/A
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients	Unknown	PDF	N/A
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms	Unknown	PDF	N/A
Reliable learning in challenging environments	Unknown	PDF	N/A
Learning to Reason and Memorize with Self-Notes	Unknown	PDF	N/A
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning	Unknown	PDF	N/A
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels	Unknown	PDF	N/A
Intervention Generalization: A View from Factor Graph Models	Unknown	PDF	N/A
DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning	Unknown	PDF	N/A
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction	Unknown	PDF	N/A
Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings	Unknown	PDF	N/A
Optimal Exploration for Model-Based RL in Nonlinear Systems	Unknown	PDF	N/A
Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows	Unknown	PDF	N/A
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack	Unknown	PDF	N/A
Are Diffusion Models Vision-And-Language Reasoners?	Unknown	PDF	N/A
FAMO: Fast Adaptive Multitask Optimization	Unknown	PDF	N/A
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback	Unknown	PDF	N/A
Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects	Unknown	PDF	N/A
What Can We Learn from Unlearnable Datasets?	Unknown	PDF	N/A
Online Ad Allocation with Predictions	Unknown	PDF	N/A
Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback	Unknown	PDF	N/A
PAPR: Proximity Attention Point Rendering	Unknown	PDF	N/A
On the Sublinear Regret of GP-UCB	Unknown	PDF	N/A
On Imitation in Mean-field Games	Unknown	PDF	N/A
Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates	Unknown	PDF	N/A
Strategic Classification under Unknown Personalized Manipulation	Unknown	PDF	N/A
$k$-Means Clustering with Distance-Based Privacy	Unknown	PDF	N/A
RoboCLIP: One Demonstration is Enough to Learn Robot Policies	Unknown	PDF	N/A
CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics	Unknown	PDF	N/A
SE(3) Equivariant Augmented Coupling Flows	Unknown	PDF	N/A
One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning	Unknown	PDF	N/A
Feature-Learning Networks Are Consistent Across Widths At Realistic Scales	Unknown	PDF	N/A
Bridging RL Theory and Practice with the Effective Horizon	Unknown	PDF	N/A
Path Regularization: A Convexity and Sparsity Inducing Regularization for Parallel ReLU Networks	Unknown	PDF	N/A
Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise	Unknown	PDF	N/A
Meek Separators and Their Applications in Targeted Causal Discovery	Unknown	PDF	N/A
Students Parrot Their Teachers: Membership Inference on Model Distillation	Unknown	PDF	N/A
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning	Unknown	PDF	N/A
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness	Unknown	PDF	N/A
Exact recovery and Bregman hard clustering of node-attributed Stochastic Block Model	Unknown	PDF	N/A
Evaluating Neuron Interpretation Methods of NLP Models	Unknown	PDF	N/A
Composing Parameter-Efficient Modules with Arithmetic Operation	Unknown	PDF	N/A
Conformal Prediction for Time Series with Modern Hopfield Networks	Unknown	PDF	N/A
Generalized equivalences between subsampling and ridge regularization	Unknown	PDF	N/A
Convolutional Neural Operators for robust and accurate learning of PDEs	Unknown	PDF	N/A
LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas	Unknown	PDF	N/A
Accelerated On-Device Forward Neural Network Training with Module-Wise Descending Asynchronism	Unknown	PDF	N/A
Efficient Potential-based Exploration in Reinforcement Learning using Inverse Dynamic Bisimulation Metric	Unknown	PDF	N/A
Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms	Unknown	PDF	N/A
Block Low-Rank Preconditioner with Shared Basis for Stochastic Optimization	Unknown	PDF	N/A
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space	Unknown	PDF	N/A
A Bounded Ability Estimation for Computerized Adaptive Testing	Unknown	PDF	N/A
ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation	Unknown	PDF	N/A
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective	Unknown	PDF	N/A
Task-aware world model learning with meta weighting via bi-level optimization	Unknown	PDF	N/A
A Scalable Neural Network for DSIC Affine Maximizer Auction Design	Unknown	PDF	N/A
SUBP: Soft Uniform Block Pruning for 1$\times$N Sparse CNNs Multithreading Acceleration	Unknown	PDF	N/A
Glance and Focus: Memory Prompting for Multi-Event Video Question Answering	Unknown	PDF	N/A
Dynamic Personalized Federated Learning with Adaptive Differential Privacy	Unknown	PDF	N/A
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability	Unknown	PDF	N/A
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification	Unknown	PDF	N/A
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning	Unknown	PDF	N/A
Self-supervised Graph Neural Networks via Low-Rank Decomposition	Unknown	PDF	N/A
UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models	Unknown	PDF	N/A
Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer	Unknown	PDF	N/A
GALOPA: Graph Transport Learning with Optimal Plan Alignment	Unknown	PDF	N/A
Improving Compositional Generalization using Iterated Learning and Simplicial Embeddings	Unknown	PDF	N/A
ResMem: Learn what you can and memorize the rest	Unknown	PDF	N/A
PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation	Unknown	PDF	N/A
Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models	Unknown	PDF	N/A
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation	Unknown	PDF	N/A
A Batch-to-Online Transformation under Random-Order Model	Unknown	PDF	N/A
A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation	Unknown	PDF	N/A
Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback	Unknown	PDF	N/A
Thrust: Adaptively Propels Large Language Models with External Knowledge	Unknown	PDF	N/A
CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection	Unknown	PDF	N/A
RRHF: Rank Responses to Align Language Models with Human Feedback	Unknown	PDF	N/A
Learning Modulated Transformation in GANs	Unknown	PDF	N/A
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation	Unknown	PDF	N/A
Lightweight Vision Transformer with Bidirectional Interaction	Unknown	PDF	N/A
Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms	Unknown	PDF	N/A
Language Models can Solve Computer Tasks	Unknown	PDF	N/A
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games	Unknown	PDF	N/A
Single-Stage Visual Query Localization in Egocentric Videos	Unknown	PDF	N/A
Meta-Adapter: An Online Few-shot Learner for Vision-Language Model	Unknown	PDF	N/A
Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective	Unknown	PDF	N/A
Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks	Unknown	PDF	N/A
Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space	Unknown	PDF	N/A
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm	Unknown	PDF	N/A
Balanced Training for Sparse GANs	Unknown	PDF	N/A
Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs	Unknown	PDF	N/A
ReTR: Modeling Rendering Via Transformer for Generalizable Neural Surface Reconstruction	Unknown	PDF	N/A
Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation	Unknown	PDF	N/A
Fast Partitioned Learned Bloom Filter	Unknown	PDF	N/A
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network	Unknown	PDF	N/A
Vulnerabilities in Video Quality Assessment Models: The Challenge of Adversarial Attacks	Unknown	PDF	N/A
Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval	Unknown	PDF	N/A
On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds	Unknown	PDF	N/A
H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training	Unknown	PDF	N/A
Test-Time Distribution Normalization for Contrastively Learned Visual-language Models	Unknown	PDF	N/A
RanPAC: Random Projections and Pre-trained Models for Continual Learning	Unknown	PDF	N/A
Learning non-Markovian Decision-Making from State-only Sequences	Unknown	PDF	N/A
Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs	Unknown	PDF	N/A
Training Private Models That Know What They Don’t Know	Unknown	PDF	N/A
Improving Diffusion-Based Image Synthesis with Context Prediction	Unknown	PDF	N/A
HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork	Unknown	PDF	N/A
Deep Momentum Multi-Marginal Schrödinger Bridge	Unknown	PDF	N/A
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations	Unknown	PDF	N/A
False Discovery Proportion control for aggregated Knockoffs	Unknown	PDF	N/A
Max-Margin Token Selection in Attention Mechanism	Unknown	PDF	N/A
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games	Unknown	PDF	N/A
Video Prediction Models as Rewards for Reinforcement Learning	Unknown	PDF	N/A
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs	Unknown	PDF	N/A
Core-sets for Fair and Diverse Data Summarization	Unknown	PDF	N/A
Spectral Evolution and Invariance in Linear-width Neural Networks	Unknown	PDF	N/A
Agnostic Multi-Group Active Learning	Unknown	PDF	N/A
DropCompute: simple and more robust distributed synchronous training via compute variance reduction	Unknown	PDF	N/A
Dynamic Pricing and Learning with Bayesian Persuasion	Unknown	PDF	N/A
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection	Unknown	PDF	N/A
Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions	Unknown	PDF	N/A
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning	Unknown	PDF	N/A
Learning Unseen Modality Interaction	Unknown	PDF	N/A
A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment	Unknown	PDF	N/A
Synthetic Experience Replay	Unknown	PDF	N/A
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data	Unknown	PDF	N/A
Symbolic Discovery of Optimization Algorithms	Unknown	PDF	N/A
Predict-then-Calibrate: A New Perspective of Robust Contextual LP	Unknown	PDF	N/A
Face Reconstruction from Facial Templates by Learning Latent Space of a Generator Network	Unknown	PDF	N/A
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis	Unknown	PDF	N/A
ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking	Unknown	PDF	N/A
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning	Unknown	PDF	N/A
Tight Bounds for Volumetric Spanners and Applications	Unknown	PDF	N/A
Online Convex Optimization with Unbounded Memory	Unknown	PDF	N/A
Tanimoto Random Features for Scalable Molecular Machine Learning	Unknown	PDF	N/A
Learning World Models with Identifiable Factorization	Unknown	PDF	N/A
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data	Unknown	PDF	N/A
Structured Federated Learning through Clustered Additive Modeling	Unknown	PDF	N/A
Learning and Collusion in Multi-unit Auctions	Unknown	PDF	N/A
IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval	Unknown	PDF	N/A
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation	Unknown	PDF	N/A
Beyond probability partitions: Calibrating neural networks with semantic aware grouping	Unknown	PDF	N/A
MixFormerV2: Efficient Fully Transformer Tracking	Unknown	PDF	N/A
Tight Risk Bounds for Gradient Descent on Separable Data	Unknown	PDF	N/A
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks	Unknown	PDF	N/A
Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent	Unknown	PDF	N/A
Model Spider: Learning to Rank Pre-Trained Models Efficiently	Unknown	PDF	N/A
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds	Unknown	PDF	N/A
Federated Learning with Manifold Regularization and Normalized Update Reaggregation	Unknown	PDF	N/A
Pre-Training Protein Encoder via Siamese Sequence-Structure Diffusion Trajectory Prediction	Unknown	PDF	N/A
Eliminating Domain Bias for Federated Learning in Representation Space	Unknown	PDF	N/A
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses	Unknown	PDF	N/A
Slot-guided Volumetric Object Radiance Fields	Unknown	PDF	N/A
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy	Unknown	PDF	N/A
Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model	Unknown	PDF	N/A
Trans-Dimensional Generative Modeling via Jump Diffusion Models	Unknown	PDF	N/A
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning	Unknown	PDF	N/A
Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective	Unknown	PDF	N/A
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning	Unknown	PDF	N/A
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics	Unknown	PDF	N/A
Crystal Structure Prediction by Joint Equivariant Diffusion	Unknown	PDF	N/A
ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction	Unknown	PDF	N/A
Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals	Unknown	PDF	N/A
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning	Unknown	PDF	N/A
TensorNet: Cartesian Tensor Representations for Efficient Learning of Molecular Potentials	Unknown	PDF	N/A
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader	Unknown	PDF	N/A
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation	Unknown	PDF	N/A
Contrastive Sampling Chains in Diffusion Models	Unknown	PDF	N/A
DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation	Unknown	PDF	N/A
Towards Distribution-Agnostic Generalized Category Discovery	Unknown	PDF	N/A
Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training	Unknown	PDF	N/A
Efficient Test-Time Adaptation for Super-Resolution with Second-Order Degradation and Reconstruction	Unknown	PDF	N/A
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions	Unknown	PDF	N/A
Spectral Co-Distillation for Personalized Federated Learning	Unknown	PDF	N/A
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples	Unknown	PDF	N/A
Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects	Unknown	PDF	N/A
PTQD: Accurate Post-Training Quantization for Diffusion Models	Unknown	PDF	N/A
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning	Unknown	PDF	N/A
Optimal Treatment Regimes for Proximal Causal Learning	Unknown	PDF	N/A
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration	Unknown	PDF	N/A
Regret-Optimal Model-Free Reinforcement Learning for Discounted MDPs with Short Burn-In Time	Unknown	PDF	N/A
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models	Unknown	PDF	N/A
Large Language Models can Implement Policy Iteration	Unknown	PDF	N/A
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models	Unknown	PDF	N/A
Global Optimality in Bivariate Gradient-based DAG Learning	Unknown	PDF	N/A
A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains	Unknown	PDF	N/A
Truly Scale-Equivariant Deep Nets with Fourier Layers	Unknown	PDF	N/A
Inverse Preference Learning: Preference-based RL without a Reward Function	Unknown	PDF	N/A
Neural Functional Transformers	Unknown	PDF	N/A
Permutation Equivariant Neural Functionals	Unknown	PDF	N/A
Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation	Unknown	PDF	N/A
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head	Unknown	PDF	N/A
Online Constrained Meta-Learning: Provable Guarantees for Generalization	Unknown	PDF	N/A
Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars	Unknown	PDF	N/A
Adaptive Selective Sampling for Online Prediction with Experts	Unknown	PDF	N/A
Coneheads: Hierarchy Aware Attention	Unknown	PDF	N/A
A Measure-Theoretic Axiomatisation of Causality	Unknown	PDF	N/A
Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback	Unknown	PDF	N/A
Text-to-Image Diffusion Models are Zero Shot Classifiers	Unknown	PDF	N/A
REx: Data-Free Residual Quantization Error Expansion	Unknown	PDF	N/A
PointGPT: Auto-regressively Generative Pre-training from Point Clouds	Unknown	PDF	N/A
Robust Model Reasoning and Fitting via Dual Sparsity Pursuit	Unknown	PDF	N/A
Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games	Unknown	PDF	N/A
FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow	Unknown	PDF	N/A
GlyphControl: Glyph Conditional Control for Visual Text Generation	Unknown	PDF	N/A
Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations	Unknown	PDF	N/A
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL	Unknown	PDF	N/A
LLM-Pruner: On the Structural Pruning of Large Language Models	Unknown	PDF	N/A
Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction	Unknown	PDF	N/A
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function	Unknown	PDF	N/A
LuminAIRe: Illumination-Aware Conditional Image Repainting for Lighting-Realistic Generation	Unknown	PDF	N/A
Latent exploration for Reinforcement Learning	Unknown	PDF	N/A
Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning	Unknown	PDF	N/A
Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation	Unknown	PDF	N/A
Generative Category-level Object Pose Estimation via Diffusion Models	Unknown	PDF	N/A
Generalized Weighted Path Consistency for Mastering Atari Games	Unknown	PDF	N/A
Towards Better Dynamic Graph Learning: New Architecture and Unified Library	Unknown	PDF	N/A
Find What You Want: Learning Demand-conditioned Object Attribute Space for Demand-driven Navigation	Unknown	PDF	N/A
Masked Image Residual Learning for Scaling Deeper Vision Transformers	Unknown	PDF	N/A
No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand	Unknown	PDF	N/A
Neural Polarizer: A Lightweight and Effective Backdoor Defense via Purifying Poisoned Features	Unknown	PDF	N/A
HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection	Unknown	PDF	N/A
Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities	Unknown	PDF	N/A
Demystifying Softmax Gating Function in Gaussian Mixture of Experts	Unknown	PDF	N/A
Learning Environment-Aware Affordance for 3D Articulated Object Manipulation under Occlusions	Unknown	PDF	N/A
Knowledge Distillation for High Dimensional Search Index	Unknown	PDF	N/A
Accelerating Value Iteration with Anchoring	Unknown	PDF	N/A
One Fits All: Power General Time Series Analysis by Pretrained LM	Unknown	PDF	N/A
Maximize to Explore: One Objective Function Fusing Estimation, Planning, and Exploration	Unknown	PDF	N/A
One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning	Unknown	PDF	N/A
Diffusion Probabilistic Models for Structured Node Classification	Unknown	PDF	N/A
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation	Unknown	PDF	N/A
Decompose Novel into Known: Part Concept Learning For 3D Novel Class Discovery	Unknown	PDF	N/A
A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation	Unknown	PDF	N/A
Markovian Sliced Wasserstein Distances: Beyond Independent Projections	Unknown	PDF	N/A
Controlling Text-to-Image Diffusion by Orthogonal Finetuning	Unknown	PDF	N/A
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality	Unknown	PDF	N/A
Interpretability at Scale: Identifying Causal Mechanisms in Alpaca	Unknown	PDF	N/A
Robust Lipschitz Bandits to Adversarial Corruptions	Unknown	PDF	N/A
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems	Unknown	PDF	N/A
Energy-Based Sliced Wasserstein Distance	Unknown	PDF	N/A
Riemannian Residual Neural Networks	Unknown	PDF	N/A
Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance	Unknown	PDF	N/A
One-Step Diffusion Distillation via Deep Equilibrium Models	Unknown	PDF	N/A
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions	Unknown	PDF	N/A
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective	Unknown	PDF	N/A
Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value	Unknown	PDF	N/A
Certifiably Robust Graph Contrastive Learning	Unknown	PDF	N/A
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards	Unknown	PDF	N/A
Latent Graph Inference with Limited Supervision	Unknown	PDF	N/A
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields	Unknown	PDF	N/A
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision	Unknown	PDF	N/A
Strategic Data Sharing between Competitors	Unknown	PDF	N/A
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation	Unknown	PDF	N/A
Domain Re-Modulation for Few-Shot Generative Domain Adaptation	Unknown	PDF	N/A
Unifying GANs and Score-Based Diffusion as Generative Particle Models	Unknown	PDF	N/A
Rank-DETR for High Quality Object Detection	Unknown	PDF	N/A
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks	Unknown	PDF	N/A
Regularization properties of adversarially-trained linear regression	Unknown	PDF	N/A
On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data	Unknown	PDF	N/A
Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion	Unknown	PDF	N/A
Greatness in Simplicity: Unified Self-Cycle Consistency for Parser-Free Virtual Try-On	Unknown	PDF	N/A
Exploring Question Decomposition for Zero-Shot VQA	Unknown	PDF	N/A
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.	Unknown	PDF	N/A
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels	Unknown	PDF	N/A
SEGA: Instructing Text-to-Image Models using Semantic Guidance	Unknown	PDF	N/A
High-dimensional Contextual Bandit Problem without Sparsity	Unknown	PDF	N/A
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks	Unknown	PDF	N/A
Bayesian Learning via Q-Exponential Process	Unknown	PDF	N/A
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks	Unknown	PDF	N/A
Learning Energy-based Model via Dual-MCMC Teaching	Unknown	PDF	N/A
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting	Unknown	PDF	N/A
Uncertainty Quantification via Neural Posterior Principal Components	Unknown	PDF	N/A
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks	Unknown	PDF	N/A
Contextual Stochastic Bilevel Optimization	Unknown	PDF	N/A
Multi-Head Adapter Routing for Cross-Task Generalization	Unknown	PDF	N/A
Cal-DETR: Calibrated Detection Transformer	Unknown	PDF	N/A
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods	Unknown	PDF	N/A
Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models	Unknown	PDF	N/A
PHOTOSWAP: Personalized Subject Swapping in Images	Unknown	PDF	N/A
Unpaired Multi-Domain Causal Representation Learning	Unknown	PDF	N/A
Characterization and Learning of Causal Graphs with Small Conditioning Sets	Unknown	PDF	N/A
Active Learning for Semantic Segmentation with Multi-class Label Query	Unknown	PDF	N/A
Thinker: Learning to Plan and Act	Unknown	PDF	N/A
Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space	Unknown	PDF	N/A
Coordinating Distributed Example Orders for Provably Accelerated Training	Unknown	PDF	N/A
FLuID: Mitigating Stragglers in Federated Learning using Invariant Dropout	Unknown	PDF	N/A
Explainable Brain Age Prediction using coVariance Neural Networks	Unknown	PDF	N/A
Learning with Explanation Constraints	Unknown	PDF	N/A
Locality-Aware Generalizable Implicit Neural Representation	Unknown	PDF	N/A
Language Semantic Graph Guided Data-Efficient Learning	Unknown	PDF	N/A
Compression with Bayesian Implicit Neural Representations	Unknown	PDF	N/A
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion	Unknown	PDF	N/A
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes	Unknown	PDF	N/A
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs	Unknown	PDF	N/A
Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy	Unknown	PDF	N/A
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback	Unknown	PDF	N/A
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings	Unknown	PDF	N/A
Adaptive Principal Component Regression with Applications to Panel Data	Unknown	PDF	N/A
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models	Unknown	PDF	N/A
AV-NeRF: Learning Neural Fields for Real-World Audio-Visual Scene Synthesis	Unknown	PDF	N/A
A Metadata-Driven Approach to Understand Graph Neural Networks	Unknown	PDF	N/A
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning	Unknown	PDF	N/A
Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization	Unknown	PDF	N/A
Regret Matching+: (In)Stability and Fast Convergence in Games	Unknown	PDF	N/A
SimMMDG: A Simple and Effective Framework for Multi-modal Domain Generalization	Unknown	PDF	N/A
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits	Unknown	PDF	N/A
VRA: Variational Rectified Activation for Out-of-distribution Detection	Unknown	PDF	N/A
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning	Unknown	PDF	N/A
Flow: Per-instance Personalized Federated Learning	Unknown	PDF	N/A
CP-SLAM: Collaborative Neural Point-based SLAM System	Unknown	PDF	N/A
Trading-off price for data quality to achieve fair online allocation	Unknown	PDF	N/A
Optimizing over trained GNNs via symmetry breaking	Unknown	PDF	N/A
Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery	Unknown	PDF	N/A
Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment	Unknown	PDF	N/A
Normalization-Equivariant Neural Networks with Application to Image Denoising	Unknown	PDF	N/A
Neural Injective Functions for Multisets, Measures and Graphs via a Finite Witness Theorem	Unknown	PDF	N/A
Post-processing Private Synthetic Data for Improving Utility on Selected Measures	Unknown	PDF	N/A
GEX: A flexible method for approximating influence via Geometric Ensemble	Unknown	PDF	N/A
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis	Unknown	PDF	N/A
Classification of Heavy-tailed Features in High Dimensions: a Superstatistical Approach	Unknown	PDF	N/A
Composable Coresets for Determinant Maximization: Greedy is Almost Optimal	Unknown	PDF	N/A
Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models	Unknown	PDF	N/A
Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy	Unknown	PDF	N/A
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics	Unknown	PDF	N/A
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning	Unknown	PDF	N/A
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning	Unknown	PDF	N/A
Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences	Unknown	PDF	N/A
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization	Unknown	PDF	N/A
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with $\epsilon$-Greedy Exploration	Unknown	PDF	N/A
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval	Unknown	PDF	N/A
Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing	Unknown	PDF	N/A
Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices	Unknown	PDF	N/A
Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations	Unknown	PDF	N/A
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?	Unknown	PDF	N/A
Unsupervised Anomaly Detection with Rejection	Unknown	PDF	N/A
Anchor Data Augmentation	Unknown	PDF	N/A
Meta-AdaM: An Meta-Learned Adaptive Optimizer with Momentum for Few-Shot Learning	Unknown	PDF	N/A
PreDiff: Precipitation Nowcasting with Latent Diffusion Models	Unknown	PDF	N/A
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction	Unknown	PDF	N/A
Global Structure-Aware Diffusion Process for Low-light Image Enhancement	Unknown	PDF	N/A
How a Student becomes a Teacher: learning and forgetting through Spectral methods	Unknown	PDF	N/A
Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent	Unknown	PDF	N/A
Learning Rate Free Sampling in Constrained Domains	Unknown	PDF	N/A
Safety Verification of Decision-Tree Policies in Continuous Time	Unknown	PDF	N/A
Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation	Unknown	PDF	N/A
Binary Classification with Confidence Difference	Unknown	PDF	N/A
A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning	Unknown	PDF	N/A
Efficient Model-Free Exploration in Low-Rank MDPs	Unknown	PDF	N/A
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies	Unknown	PDF	N/A
When Does Confidence-Based Cascade Deferral Suffice?	Unknown	PDF	N/A
Dynamically Masked Discriminator for GANs	Unknown	PDF	N/A
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression	Unknown	PDF	N/A
Combating Bilateral Edge Noise for Robust Link Prediction	Unknown	PDF	N/A
SLIBO-Net: Floorplan Reconstruction via Slicing Box Representation with Local Geometry Regularization	Unknown	PDF	N/A
Globally injective and bijective neural operators	Unknown	PDF	N/A
Mutual-Information Regularized Multi-Agent Policy Iteration	Unknown	PDF	N/A
Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation	Unknown	PDF	N/A
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning	Unknown	PDF	N/A
Understanding Contrastive Learning via Distributionally Robust Optimization	Unknown	PDF	N/A
MEMTO: Memory-guided Transformer for Multivariate Time Series Anomaly Detection	Unknown	PDF	N/A
Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition	Unknown	PDF	N/A
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems	Unknown	PDF	N/A
Black-Box Differential Privacy for Interactive ML	Unknown	PDF	N/A
Connecting Multi-modal Contrastive Representations	Unknown	PDF	N/A
Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification	Unknown	PDF	N/A
A Theory of Unsupervised Translation Motivated by Understanding Animal Communication	Unknown	PDF	N/A
Bias in Evaluation Processes: An Optimization-Based Model	Unknown	PDF	N/A
SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understanding	Unknown	PDF	N/A
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets	Unknown	PDF	N/A
Discrete-Smoothness in Online Algorithms with Predictions	Unknown	PDF	N/A
Efficient RL with Impaired Observability: Learning to Act with Delayed and Missing State Observations	Unknown	PDF	N/A
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift	Unknown	PDF	N/A
AD-PT: Autonomous Driving Pre-Training with Large-scale Point Cloud Dataset	Unknown	PDF	N/A
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability	Unknown	PDF	N/A
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing	Unknown	PDF	N/A
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications	Unknown	PDF	N/A
Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification	Unknown	PDF	N/A
Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness	Unknown	PDF	N/A
Generalised f-Mean Aggregation for Graph Neural Networks	Unknown	PDF	N/A
Self-Adaptive Motion Tracking against On-body Displacement of Flexible Sensors	Unknown	PDF	N/A
DELTA: Diverse Client Sampling for Fasting Federated Learning	Unknown	PDF	N/A
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion	Unknown	PDF	N/A
Multi-Step Generalized Policy Improvement by Leveraging Approximate Models	Unknown	PDF	N/A
Alleviating the Semantic Gap for Generalized fMRI-to-Image Reconstruction	Unknown	PDF	N/A
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph	Unknown	PDF	N/A
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning	Unknown	PDF	N/A
Towards Consistent Video Editing with Text-to-Image Diffusion Models	Unknown	PDF	N/A
Opening the Vocabulary of Egocentric Actions	Unknown	PDF	N/A
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models	Unknown	PDF	N/A
Finite-Time Analysis of Single-Timescale Actor-Critic	Unknown	PDF	N/A
A fast heuristic to optimize time-space tradeoff for large models	Unknown	PDF	N/A
Geometric Algebra Transformer	Unknown	PDF	N/A
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning	Unknown	PDF	N/A
From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion	Unknown	PDF	N/A
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks	Unknown	PDF	N/A
Penalising the biases in norm regularisation enforces sparsity	Unknown	PDF	N/A
Conservative Offline Policy Adaptation in Multi-Agent Games	Unknown	PDF	N/A
On Certified Generalization in Structured Prediction	Unknown	PDF	N/A
Is Distance Matrix Enough for Geometric Deep Learning?	Unknown	PDF	N/A
What You See is What You Read? Improving Text-Image Alignment Evaluation	Unknown	PDF	N/A
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser	Unknown	PDF	N/A
Point Cloud Completion with Pretrained Text-to-Image Diffusion Models	Unknown	PDF	N/A
CQM: Curriculum Reinforcement Learning with a Quantized World Model	Unknown	PDF	N/A
Chatting Makes Perfect: Chat-based Image Retrieval	Unknown	PDF	N/A
Idempotent Learned Image Compression with Right-Inverse	Unknown	PDF	N/A
Neural Fields with Hard Constraints of Arbitrary Differential Order	Unknown	PDF	N/A
Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal	Unknown	PDF	N/A
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation	Unknown	PDF	N/A
Language-driven Scene Synthesis using Multi-conditional Diffusion Model	Unknown	PDF	N/A
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising	Unknown	PDF	N/A
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective	Unknown	PDF	N/A
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models	Unknown	PDF	N/A
Score-based Data Assimilation	Unknown	PDF	N/A
SODA: Robust Training of Test-Time Data Adaptors	Unknown	PDF	N/A
RL-based Stateful Neural Adaptive Sampling and Denoising for Real-Time Path Tracing	Unknown	PDF	N/A
Macro Placement by Wire-Mask-Guided Black-Box Optimization	Unknown	PDF	N/A
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration	Unknown	PDF	N/A
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC	Unknown	PDF	N/A
Inner-Outer Aware Reconstruction Model for Monocular 3D Scene Reconstruction	Unknown	PDF	N/A
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization	Unknown	PDF	N/A
DeepSimHO: Stable Pose Estimation for Hand-Object Interaction via Physics Simulation	Unknown	PDF	N/A
Selective Amnesia: A Continual Learning Approach to Forgetting in Deep Generative Models	Unknown	PDF	N/A
Reward Imputation with Sketching for Contextual Batched Bandits	Unknown	PDF	N/A
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules	Unknown	PDF	N/A
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval	Unknown	PDF	N/A
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference	Unknown	PDF	N/A
Topological RANSAC for instance verification and retrieval without fine-tuning	Unknown	PDF	N/A
Non-Asymptotic Analysis of a UCB-based Top Two Algorithm	Unknown	PDF	N/A
Lovász Principle for Unsupervised Graph Representation Learning	Unknown	PDF	N/A
MathNAS: If Blocks Have a Role in Mathematical Architecture Design	Unknown	PDF	N/A
Orthogonal Non-negative Tensor Factorization based Multi-view Clustering	Unknown	PDF	N/A
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions	Unknown	PDF	N/A
Optimized Covariance Design for AB Test on Social Network under Interference	Unknown	PDF	N/A
Off-Policy Evaluation for Human Feedback	Unknown	PDF	N/A
Non-adversarial training of Neural SDEs with signature kernel scores	Unknown	PDF	N/A
Separable Physics-Informed Neural Networks	Unknown	PDF	N/A
Pareto Frontiers in Deep Feature Learning: Data, Compute, Width, and Luck	Unknown	PDF	N/A
Exposing Attention Glitches with Flip-Flop Language Modeling	Unknown	PDF	N/A
Goal-conditioned Offline Planning from Curious Exploration	Unknown	PDF	N/A
Offline Reinforcement Learning with Differential Privacy	Unknown	PDF	N/A
FaceComposer: A Unified Model for Versatile Facial Content Creation	Unknown	PDF	N/A
Neural (Tangent Kernel) Collapse	Unknown	PDF	N/A
Harnessing Hard Mixed Samples with Decoupled Regularizer	Unknown	PDF	N/A
Collaborative Alignment of NLP Models	Unknown	PDF	N/A
IEBins: Iterative Elastic Bins for Monocular Depth Estimation	Unknown	PDF	N/A
VanillaNet: the Power of Minimalism in Deep Learning	Unknown	PDF	N/A
AbDiffuser: full-atom generation of in-vitro functioning antibodies	Unknown	PDF	N/A
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts	Unknown	PDF	N/A
Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models	Unknown	PDF	N/A
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning	Unknown	PDF	N/A
Gradient-Free Kernel Stein Discrepancy	Unknown	PDF	N/A
Fairness-guided Few-shot Prompting for Large Language Models	Unknown	PDF	N/A
Scattering Vision Transformer: Spectral Mixing Matters	Unknown	PDF	N/A
Encoding Human Behavior in Information Design through Deep Learning	Unknown	PDF	N/A
Recovering Unbalanced Communities in the Stochastic Block Model with Application to Clustering with a Faulty Oracle	Unknown	PDF	N/A
Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect	Unknown	PDF	N/A
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots	Unknown	PDF	N/A
Sequential Subset Matching for Dataset Distillation	Unknown	PDF	N/A
SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation	Unknown	PDF	N/A
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources	Unknown	PDF	N/A
FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning	Unknown	PDF	N/A
CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection	Unknown	PDF	N/A
Distributionally Robust Bayesian Optimization with $\varphi$-divergences	Unknown	PDF	N/A
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense	Unknown	PDF	N/A
Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative MARL	Unknown	PDF	N/A
Initialization-Dependent Sample Complexity of Linear Predictors and Neural Networks	Unknown	PDF	N/A
FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing	Unknown	PDF	N/A
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics	Unknown	PDF	N/A
Solving Inverse Physics Problems with Score Matching	Unknown	PDF	N/A
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models	Unknown	PDF	N/A
Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation	Unknown	PDF	N/A
VideoComposer: Compositional Video Synthesis with Motion Controllability	Unknown	PDF	N/A
Uncertainty-Aware Alignment Network for Cross-Domain Video-Text Retrieval	Unknown	PDF	N/A
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing	Unknown	PDF	N/A
Collaborative Learning via Prediction Consensus	Unknown	PDF	N/A
Principled Weight Initialisation for Input-Convex Neural Networks	Unknown	PDF	N/A
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.	Unknown	PDF	N/A
Spontaneous symmetry breaking in generative diffusion models	Unknown	PDF	N/A
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction	Unknown	PDF	N/A
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts	Unknown	PDF	N/A
One-step differentiation of iterative algorithms	Unknown	PDF	N/A
DäRF: Boosting Radiance Fields from Sparse Input Views with Monocular Depth Adaptation	Unknown	PDF	N/A
Learning Generalizable Agents via Saliency-guided Features Decorrelation	Unknown	PDF	N/A
R-divergence for Estimating Model-oriented Distribution Discrepancy	Unknown	PDF	N/A
Kernelized Reinforcement Learning with Order Optimal Regret Bounds	Unknown	PDF	N/A
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation	Unknown	PDF	N/A
AIMS: All-Inclusive Multi-Level Segmentation for Anything	Unknown	PDF	N/A
Segment Anything in 3D with NeRFs	Unknown	PDF	N/A
Optimization or Architecture: How to Hack Kalman Filtering	Unknown	PDF	N/A
ASPEN: Breaking Operator Barriers for Efficient Parallelization of Deep Neural Networks	Unknown	PDF	N/A
MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks	Unknown	PDF	N/A
Improving Adversarial Robustness via Information Bottleneck Distillation	Unknown	PDF	N/A
Imbalanced Mixed Linear Regression	Unknown	PDF	N/A
L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors	Unknown	PDF	N/A
BIOT: Biosignal Transformer for Cross-data Learning in the Wild	Unknown	PDF	N/A
Formulating Discrete Probability Flow Through Optimal Transport	Unknown	PDF	N/A
Universal Prompt Tuning for Graph Neural Networks	Unknown	PDF	N/A
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger	Unknown	PDF	N/A
On Sparse Modern Hopfield Model	Unknown	PDF	N/A
Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions	Unknown	PDF	N/A
Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction	Unknown	PDF	N/A
Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing	Unknown	PDF	N/A
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models	Unknown	PDF	N/A
Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers	Unknown	PDF	N/A
Closing the gap between the upper bound and lower bound of Adam's iteration complexity	Unknown	PDF	N/A
Training Your Image Restoration Network Better with Random Weight Network as Optimization Function	Unknown	PDF	N/A
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models	Unknown	PDF	N/A
Conformalized matrix completion	Unknown	PDF	N/A
A Heavy-Tailed Algebra for Probabilistic Programming	Unknown	PDF	N/A
What Knowledge Gets Distilled in Knowledge Distillation?	Unknown	PDF	N/A
Large-Scale Distributed Learning via Private On-Device LSH	Unknown	PDF	N/A
Abide by the law and follow the flow: conservation laws for gradient flows	Unknown	PDF	N/A
Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images	Unknown	PDF	N/A
The Target-Charging Technique for Privacy Analysis across Interactive Computations	Unknown	PDF	N/A
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting	Unknown	PDF	N/A
Efficient Online Clustering with Moving Costs	Unknown	PDF	N/A
On the Implicit Bias of Linear Equivariant Steerable Networks	Unknown	PDF	N/A
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process	Unknown	PDF	N/A
Improving Robustness with Adaptive Weight Decay	Unknown	PDF	N/A
Calibrating “Cheap Signals” in Peer Review without a Prior	Unknown	PDF	N/A
Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces	Unknown	PDF	N/A
Towards Label-free Scene Understanding by Vision Foundation Models	Unknown	PDF	N/A
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy	Unknown	PDF	N/A
Learning Robust Statistics for Simulation-based Inference under Model Misspecification	Unknown	PDF	N/A
Momentum Provably Improves Error Feedback!	Unknown	PDF	N/A
Strategic Apple Tasting	Unknown	PDF	N/A
Sharp Bounds for Generalized Causal Sensitivity Analysis	Unknown	PDF	N/A
Better Private Linear Regression Through Better Private Feature Selection	Unknown	PDF	N/A
Multiplication-Free Transformer Training via Piecewise Affine Operations	Unknown	PDF	N/A
Random-Access Infinite Context Length for Transformers	Unknown	PDF	N/A
Aligning Gradient and Hessian for Neural Signed Distance Function	Unknown	PDF	N/A
Strategyproof Voting under Correlated Beliefs	Unknown	PDF	N/A
A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)	Unknown	PDF	N/A
Distributional Learning of Variational AutoEncoder: Application to Synthetic Data Generation	Unknown	PDF	N/A
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning	Unknown	PDF	N/A
Evaluating and Inducing Personality in Pre-trained Language Models	Unknown	PDF	N/A
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence	Unknown	PDF	N/A
Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness	Unknown	PDF	N/A
Provable Guarantees for Neural Networks via Gradient Feature Learning	Unknown	PDF	N/A
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition	Unknown	PDF	N/A
Adaptive Topological Feature via Persistent Homology: Filtration Learning for Point Clouds	Unknown	PDF	N/A
Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models	Unknown	PDF	N/A
Q-DM: An Efficient Low-bit Quantized Diffusion Model	Unknown	PDF	N/A
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes	Unknown	PDF	N/A
Leave No Stone Unturned: Mine Extra Knowledge for Imbalanced Facial Expression Recognition	Unknown	PDF	N/A
Type-to-Track: Retrieve Any Object via Prompt-based Tracking	Unknown	PDF	N/A
Jailbroken: How Does LLM Safety Training Fail?	Unknown	PDF	N/A
On the Adversarial Robustness of Out-of-distribution Generalization Models	Unknown	PDF	N/A
Deductive Verification of Chain-of-Thought Reasoning	Unknown	PDF	N/A
A normative theory of social conflict	Unknown	PDF	N/A
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
DISCOVER: Making Vision Networks Interpretable via Competition and Dissection	Unknown	PDF	N/A
Efficient Activation Function Optimization through Surrogate Modeling	Unknown	PDF	N/A
Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory	Unknown	PDF	N/A
Replicable Clustering	Unknown	PDF	N/A
Scale-Space Hypernetworks for Efficient Biomedical Image Analysis	Unknown	PDF	N/A
EDGI: Equivariant Diffusion for Planning with Embodied Agents	Unknown	PDF	N/A
One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization	Unknown	PDF	N/A
OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding	Unknown	PDF	N/A
Smoothed Online Learning for Prediction in Piecewise Affine Systems	Unknown	PDF	N/A
Optimization of Inter-group criteria for clustering with minimum size constraints	Unknown	PDF	N/A
Kiki or Bouba? Sound Symbolism in Vision-and-Language Models	Unknown	PDF	N/A
On the Constrained Time-Series Generation Problem	Unknown	PDF	N/A
SparseProp: Efficient Event-Based Simulation and Training of Sparse Recurrent Spiking Neural Networks	Unknown	PDF	N/A
Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians	Unknown	PDF	N/A
TransHP: Image Classification with Hierarchical Prompting	Unknown	PDF	N/A
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces	Unknown	PDF	N/A
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation	Unknown	PDF	N/A
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior	Unknown	PDF	N/A
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment	Unknown	PDF	N/A
Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation	Unknown	PDF	N/A
What Truly Matters in Trajectory Prediction for Autonomous Driving?	Unknown	PDF	N/A
InsActor: Instruction-driven Physics-based Characters	Unknown	PDF	N/A
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives	Unknown	PDF	N/A
Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation	Unknown	PDF	N/A
Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations	Unknown	PDF	N/A
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model	Unknown	PDF	N/A
Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models	Unknown	PDF	N/A
PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation	Unknown	PDF	N/A
Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model	Unknown	PDF	N/A
2Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression	Unknown	PDF	N/A
On student-teacher deviations in distillation: does it pay to disobey?	Unknown	PDF	N/A
SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning	Unknown	PDF	N/A
MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion	Unknown	PDF	N/A
DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model	Unknown	PDF	N/A
Inferring Hybrid Neural Fluid Fields from Videos	Unknown	PDF	N/A
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training	Unknown	PDF	N/A
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data	Unknown	PDF	N/A
Autodecoding Latent 3D Diffusion Models	Unknown	PDF	N/A
Emergent Correspondence from Image Diffusion	Unknown	PDF	N/A
Convolutional Visual Prompt for Robust Visual Perception	Unknown	PDF	N/A
Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator	Unknown	PDF	N/A
CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection	Unknown	PDF	N/A
Transformers over Directed Acyclic Graphs	Unknown	PDF	N/A
Unlocking Feature Visualization for Deep Network with MAgnitude Constrained Optimization	Unknown	PDF	N/A
Does Graph Distillation See Like Vision Dataset Counterpart?	Unknown	PDF	N/A
Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network	Unknown	PDF	N/A
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data	Unknown	PDF	N/A
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings	Unknown	PDF	N/A
Diversifying Spatial-Temporal Perception for Video Domain Generalization	Unknown	PDF	N/A
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens	Unknown	PDF	N/A
How many samples are needed to leverage smoothness?	Unknown	PDF	N/A
OpenMask3D: Open-Vocabulary 3D Instance Segmentation	Unknown	PDF	N/A
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance	Unknown	PDF	N/A
Reading Relevant Feature from Global Representation Memory for Visual Object Tracking	Unknown	PDF	N/A
GMSF: Global Matching Scene Flow	Unknown	PDF	N/A
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data	Unknown	PDF	N/A
Causal Discovery from Subsampled Time Series with Proxy Variables	Unknown	PDF	N/A
A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories	Unknown	PDF	N/A
Demographic Parity Constrained Minimax Optimal Regression under Linear Model	Unknown	PDF	N/A
Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors	Unknown	PDF	N/A
ClusterFomer: Clustering As A Universal Visual Learner	Unknown	PDF	N/A
Data-Centric Learning from Unlabeled Graphs with Diffusion Model	Unknown	PDF	N/A
Streaming Factor Trajectory Learning for Temporal Tensor Decomposition	Unknown	PDF	N/A
Offline Imitation Learning with Variational Counterfactual Reasoning	Unknown	PDF	N/A
BERT Lost Patience Won't Be Robust to Adversarial Slowdown	Unknown	PDF	N/A
Label-efficient Segmentation via Affinity Propagation	Unknown	PDF	N/A
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective	Unknown	PDF	N/A
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models	Unknown	PDF	N/A
No-regret Algorithms for Fair Resource Allocation	Unknown	PDF	N/A
DiffUTE: Universal Text Editing Diffusion Model	Unknown	PDF	N/A
Stable Diffusion is Unstable	Unknown	PDF	N/A
Unified 3D Segmenter As Prototypical Classifiers	Unknown	PDF	N/A
Learning Motion Refinement for Unsupervised Face Animation	Unknown	PDF	N/A
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes	Unknown	PDF	N/A
Learning Large Graph Property Prediction via Graph Segment Training	Unknown	PDF	N/A
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera	Unknown	PDF	N/A
Variational Inference with Gaussian Score Matching	Unknown	PDF	N/A
Block Broyden's Methods for Solving Nonlinear Equations	Unknown	PDF	N/A
Real-World Image Variation by Aligning Diffusion Inversion Chain	Unknown	PDF	N/A
Full-Atom Protein Pocket Design via Iterative Refinement	Unknown	PDF	N/A
Adversarial Training from Mean Field Perspective	Unknown	PDF	N/A
Deep Patch Visual Odometry	Unknown	PDF	N/A
You Only Condense Once: Two Rules for Pruning Condensed Datasets	Unknown	PDF	N/A
Online Map Vectorization for Autonomous Driving: A Rasterization Perspective	Unknown	PDF	N/A
GPEX, A Framework For Interpreting Artificial Neural Networks	Unknown	PDF	N/A
Efficient Symbolic Policy Learning with Differentiable Symbolic Expression	Unknown	PDF	N/A
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP	Unknown	PDF	N/A
Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models	Unknown	PDF	N/A
Epistemic Neural Networks	Unknown	PDF	N/A
Self-supervised Object-Centric Learning for Videos	Unknown	PDF	N/A
Inference-Time Intervention: Eliciting Truthful Answers from a Language Model	Unknown	PDF	N/A
Online Learning under Adversarial Nonlinear Constraints	Unknown	PDF	N/A
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm	Unknown	PDF	N/A
SoundCam: A Dataset for Finding Humans Using Room Acoustics	Unknown	PDF	N/A
Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning	Unknown	PDF	N/A
SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction	Unknown	PDF	N/A
A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting	Unknown	PDF	N/A
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications	Unknown	PDF	N/A
Practical Equivariances via Relational Conditional Neural Processes	Unknown	PDF	N/A
Classical Simulation of Quantum Circuits: Parallel Environments and Benchmark	Unknown	PDF	N/A
BioMassters: A Benchmark Dataset for Forest Biomass Estimation using Multi-modal Satellite Time-series	Unknown	PDF	N/A
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense	Unknown	PDF	N/A
SatBird: a Dataset for Bird Species Distribution Modeling using Remote Sensing and Citizen Science Data	Unknown	PDF	N/A
On the Convergence of Encoder-only Shallow Transformers	Unknown	PDF	N/A
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models	Unknown	PDF	N/A
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load Forecasting	Unknown	PDF	N/A
Objaverse-XL: A Universe of 10M+ 3D Objects	Unknown	PDF	N/A
AND: Adversarial Neural Degradation for Learning Blind Image Super-Resolution	Unknown	PDF	N/A
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving	Unknown	PDF	N/A
FIND: A Function Description Benchmark for Evaluating Interpretability Methods	Unknown	PDF	N/A
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning	Unknown	PDF	N/A
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology	Unknown	PDF	N/A
Semi-Implicit Denoising Diffusion Models (SIDDMs)	Unknown	PDF	N/A
Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events	Unknown	PDF	N/A
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models	Unknown	PDF	N/A
The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data	Unknown	PDF	N/A
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data	Unknown	PDF	N/A
The Geometry of Neural Nets' Parameter Spaces Under Reparametrization	Unknown	PDF	N/A
ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design	Unknown	PDF	N/A
Aligning Language Models with Human Preferences via a Bayesian Approach	Unknown	PDF	N/A
SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery	Unknown	PDF	N/A
FLAIR : a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery	Unknown	PDF	N/A
Enhancing Sharpness-Aware Optimization Through Variance Suppression	Unknown	PDF	N/A
CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography	Unknown	PDF	N/A
FELM: Benchmarking Factuality Evaluation of Large Language Models	Unknown	PDF	N/A
TWIGMA: A dataset of AI-Generated Images with Metadata From Twitter	Unknown	PDF	N/A
ASL Citizen: A Community-Sourced Dataset for Advancing Isolated Sign Language Recognition	Unknown	PDF	N/A
GenS: Generalizable Neural Surface Reconstruction from Multi-View Images	Unknown	PDF	N/A
Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking	Unknown	PDF	N/A
Data Pruning via Moving-one-Sample-out	Unknown	PDF	N/A
Rehearsal Learning for Avoiding Undesired Future	Unknown	PDF	N/A
CSMeD: Bridging the Dataset Gap in Automated Citation Screening for Systematic Literature Reviews	Unknown	PDF	N/A
Characteristic Circuits	Unknown	PDF	N/A
YouTubePD: A Multimodal Benchmark for Parkinson’s Disease Analysis	Unknown	PDF	N/A
AiluRus: A Scalable ViT Framework for Dense Prediction	Unknown	PDF	N/A
Generator Born from Classifier	Unknown	PDF	N/A
BEDD: The MineRL BASALT Evaluation and Demonstrations Dataset for Training and Benchmarking Agents that Solve Fuzzy Tasks	Unknown	PDF	N/A
Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses	Unknown	PDF	N/A
$\mathbf{\mathbb{E}^{FWI}}$: Multiparameter Benchmark Datasets for Elastic Full Waveform Inversion of Geophysical Properties	Unknown	PDF	N/A
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards	Unknown	PDF	N/A
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents	Unknown	PDF	N/A
BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information	Unknown	PDF	N/A
MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery	Unknown	PDF	N/A
RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object Detection	Unknown	PDF	N/A
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance	Unknown	PDF	N/A
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models	Unknown	PDF	N/A
GenEval: An object-focused framework for evaluating text-to-image alignment	Unknown	PDF	N/A
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging	Unknown	PDF	N/A
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex	Unknown	PDF	N/A
CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation	Unknown	PDF	N/A
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching	Unknown	PDF	N/A
SEENN: Towards Temporal Spiking Early Exit Neural Networks	Unknown	PDF	N/A
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning	Unknown	PDF	N/A
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning	Unknown	PDF	N/A
Consensus and Subjectivity of Skin Tone Annotation for ML Fairness	Unknown	PDF	N/A
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models	Unknown	PDF	N/A
NAP: Neural 3D Articulated Object Prior	Unknown	PDF	N/A
Segment Everything Everywhere All at Once	Unknown	PDF	N/A
Module-wise Training of Neural Networks via the Minimizing Movement Scheme	Unknown	PDF	N/A
ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics	Unknown	PDF	N/A
MLFMF: Data Sets for Machine Learning for Mathematical Formalization	Unknown	PDF	N/A
Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection	Unknown	PDF	N/A
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation	Unknown	PDF	N/A
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning	Unknown	PDF	N/A
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems	Unknown	PDF	N/A
ProteinShake: Building datasets and benchmarks for deep learning on protein structures	Unknown	PDF	N/A
Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning	Unknown	PDF	N/A
The expressive power of pooling in Graph Neural Networks	Unknown	PDF	N/A
QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data	Unknown	PDF	N/A
Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization	Unknown	PDF	N/A
UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction	Unknown	PDF	N/A
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics	Unknown	PDF	N/A
Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends	Unknown	PDF	N/A
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining	Unknown	PDF	N/A
Semantic Image Synthesis with Unconditional Generator	Unknown	PDF	N/A
WildfireSpreadTS: A dataset of multi-modal time series for wildfire spread prediction	Unknown	PDF	N/A
Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark	Unknown	PDF	N/A
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation	Unknown	PDF	N/A
HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count	Unknown	PDF	N/A
Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine	Unknown	PDF	N/A
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation	Unknown	PDF	N/A
Non-Rigid Shape Registration via Deep Functional Maps Prior	Unknown	PDF	N/A
Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration	Unknown	PDF	N/A
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms	Unknown	PDF	N/A
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events	Unknown	PDF	N/A
Mitigating Source Bias for Fairer Weak Supervision	Unknown	PDF	N/A
$\mathcal{M}^4$: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models	Unknown	PDF	N/A
Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning	Unknown	PDF	N/A
Data-Driven Network Neuroscience: On Data Collection and Benchmark	Unknown	PDF	N/A
HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding	Unknown	PDF	N/A
On the Convergence of Black-Box Variational Inference	Unknown	PDF	N/A
Generating QM1B with PySCF$_{\text{IPU}}$	Unknown	PDF	N/A
Learning to Taste: A Multimodal Wine Dataset	Unknown	PDF	N/A
On Private and Robust Bandits	Unknown	PDF	N/A
VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception	Unknown	PDF	N/A
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts	Unknown	PDF	N/A
Learning to Augment Distributions for Out-of-distribution Detection	Unknown	PDF	N/A
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties	Unknown	PDF	N/A
StressID: a Multimodal Dataset for Stress Identification	Unknown	PDF	N/A
Quilt-1M: One Million Image-Text Pairs for Histopathology	Unknown	PDF	N/A
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping	Unknown	PDF	N/A
EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis	Unknown	PDF	N/A
CoDA: Collaborative Novel Box Discovery and Cross-modal Alignment for Open-vocabulary 3D Object Detection	Unknown	PDF	N/A
The Drunkard’s Odometry: Estimating Camera Motion in Deforming Scenes	Unknown	PDF	N/A
DynPoint: Dynamic Neural Point For View Synthesis	Unknown	PDF	N/A
Into the Single Cell Multiverse: an End-to-End Dataset for Procedural Knowledge Extraction in Biomedical Texts	Unknown	PDF	N/A
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change	Unknown	PDF	N/A
MVDoppler: Unleashing the Power of Multi-View Doppler for MicroMotion-based Gait Classification	Unknown	PDF	N/A
SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis	Unknown	PDF	N/A
Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams	Unknown	PDF	N/A
M$^{2}$SODAI: Multi-Modal Maritime Object Detection Dataset With RGB and Hyperspectral Image Sensors	Unknown	PDF	N/A
On the Ability of Graph Neural Networks to Model Interactions Between Vertices	Unknown	PDF	N/A
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation	Unknown	PDF	N/A
InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback	Unknown	PDF	N/A
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion	Unknown	PDF	N/A
Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning	Unknown	PDF	N/A
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling	Unknown	PDF	N/A
SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents	Unknown	PDF	N/A
Scaling Laws for Hyperparameter Optimization	Unknown	PDF	N/A
A Smooth Binary Mechanism for Efficient Private Continual Observation	Unknown	PDF	N/A
Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks	Unknown	PDF	N/A
DISCS: A Benchmark for Discrete Sampling	Unknown	PDF	N/A
MotionGPT: Human Motion as a Foreign Language	Unknown	PDF	N/A
SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality	Unknown	PDF	N/A
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning	Unknown	PDF	N/A
OpenProteinSet: Training data for structural biology at scale	Unknown	PDF	N/A
Intelligent Knee Sleeves: A Real-time Multimodal Dataset for 3D Lower Body Motion Estimation Using Smart Textile	Unknown	PDF	N/A
DataComp: In search of the next generation of multimodal datasets	Unknown	PDF	N/A
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time	Unknown	PDF	N/A
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models	Unknown	PDF	N/A
RaLEs: a Benchmark for Radiology Language Evaluations	Unknown	PDF	N/A
Unsupervised Graph Neural Architecture Search with Disentangled Self-Supervision	Unknown	PDF	N/A
M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark	Unknown	PDF	N/A
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning	Unknown	PDF	N/A
LOVM: Language-Only Vision Model Selection	Unknown	PDF	N/A
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs	Unknown	PDF	N/A
Holistic Evaluation of Text-to-Image Models	Unknown	PDF	N/A
ToolQA: A Dataset for LLM Question Answering with External Tools	Unknown	PDF	N/A
ChessGPT: Bridging Policy Learning and Language Modeling	Unknown	PDF	N/A
Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT	Unknown	PDF	N/A
FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation	Unknown	PDF	N/A
Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks	Unknown	PDF	N/A
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks	Unknown	PDF	N/A
Generalizing Nonlinear ICA Beyond Structural Sparsity	Unknown	PDF	N/A
Lexinvariant Language Models	Unknown	PDF	N/A
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms	Unknown	PDF	N/A
On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets	Unknown	PDF	N/A
AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions	Unknown	PDF	N/A
Improving multimodal datasets with image captioning	Unknown	PDF	N/A
GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition	Unknown	PDF	N/A
PyNeRF: Pyramidal Neural Radiance Fields	Unknown	PDF	N/A
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation	Unknown	PDF	N/A
SPRING: Studying Papers and Reasoning to play Games	Unknown	PDF	N/A
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals	Unknown	PDF	N/A
Boundary Guided Learning-Free Semantic Control with Diffusion Models	Unknown	PDF	N/A
The ToMCAT Dataset	Unknown	PDF	N/A
Parsel🐍: Algorithmic Reasoning with Language Models by Composing Decompositions	Unknown	PDF	N/A
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery	Unknown	PDF	N/A
VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models	Unknown	PDF	N/A
StyleGAN knows Normal, Depth, Albedo, and More	Unknown	PDF	N/A
Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations	Unknown	PDF	N/A
Variational Gaussian Processes with Decoupled Conditionals	Unknown	PDF	N/A
A Massive Scale Semantic Similarity Dataset of Historical English	Unknown	PDF	N/A
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities	Unknown	PDF	N/A
Are These the Same Apple? Comparing Images Based on Object Intrinsics	Unknown	PDF	N/A
Generalizable One-shot 3D Neural Head Avatar	Unknown	PDF	N/A
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers	Unknown	PDF	N/A
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems	Unknown	PDF	N/A
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data	Unknown	PDF	N/A
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking	Unknown	PDF	N/A
Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning	Unknown	PDF	N/A
Information Design in Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
D4: Improving LLM Pretraining via Document De-Duplication and Diversification	Unknown	PDF	N/A
A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset	Unknown	PDF	N/A
RoboHive: A Unified Framework for Robot Learning	Unknown	PDF	N/A
Mind2Web: Towards a Generalist Agent for the Web	Unknown	PDF	N/A
How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources	Unknown	PDF	N/A
GEO-Bench: Toward Foundation Models for Earth Monitoring	Unknown	PDF	N/A
COOM: A Game Benchmark for Continual Reinforcement Learning	Unknown	PDF	N/A
HeadSculpt: Crafting 3D Head Avatars with Text	Unknown	PDF	N/A
trajdata: A Unified Interface to Multiple Human Trajectory Datasets	Unknown	PDF	N/A
DynaDojo: An Extensible Platform for Benchmarking Scaling in Dynamical System Identification	Unknown	PDF	N/A
EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset	Unknown	PDF	N/A
AirDelhi: Fine-Grained Spatio-Temporal Particulate Matter Dataset From Delhi For ML based Modeling	Unknown	PDF	N/A
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day	Unknown	PDF	N/A
Benchmarking Robustness to Adversarial Image Obfuscations	Unknown	PDF	N/A
DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection	Unknown	PDF	N/A
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources	Unknown	PDF	N/A
Realistic Synthetic Financial Transactions for Anti-Money Laundering Models	Unknown	PDF	N/A
Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations	Unknown	PDF	N/A
Learning Domain-Aware Detection Head with Prompt Tuning	Unknown	PDF	N/A
CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care	Unknown	PDF	N/A
Multi-modal Queried Object Detection in the Wild	Unknown	PDF	N/A
OceanBench: The Sea Surface Height Edition	Unknown	PDF	N/A
MARBLE: Music Audio Representation Benchmark for Universal Evaluation	Unknown	PDF	N/A
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection	Unknown	PDF	N/A
Social Motion Prediction with Cognitive Hierarchies	Unknown	PDF	N/A
A Dataset for Analyzing Streaming Media Performance over HTTP/3 Browsers	Unknown	PDF	N/A
Data Portraits: Recording Foundation Model Training Data	Unknown	PDF	N/A
HT-Step: Aligning Instructional Articles with How-To Videos	Unknown	PDF	N/A
Renku: a platform for sustainable data science	Unknown	PDF	N/A
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias	Unknown	PDF	N/A
Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method	Unknown	PDF	N/A
Pairwise GUI Dataset Construction Between Android Phones and Tablets	Unknown	PDF	N/A
Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark	Unknown	PDF	N/A
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning	Unknown	PDF	N/A
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models	Unknown	PDF	N/A
SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning	Unknown	PDF	N/A
GSLB: The Graph Structure Learning Benchmark	Unknown	PDF	N/A
RD-Suite: A Benchmark for Ranking Distillation	Unknown	PDF	N/A
NetHack is Hard to Hack	Unknown	PDF	N/A
DISCO-10M: A Large-Scale Music Dataset	Unknown	PDF	N/A
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification	Unknown	PDF	N/A
Evaluating Open-QA Evaluation	Unknown	PDF	N/A
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials	Unknown	PDF	N/A
Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models	Unknown	PDF	N/A
NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF	Unknown	PDF	N/A
RADAR: Robust AI-Text Detection via Adversarial Learning	Unknown	PDF	N/A
Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure	Unknown	PDF	N/A
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation	Unknown	PDF	N/A
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor	Unknown	PDF	N/A
Training Neural Networks is NP-Hard in Fixed Dimension	Unknown	PDF	N/A
Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition	Unknown	PDF	N/A
PCF-GAN: generating sequential data via the characteristic function of measures on the path space	Unknown	PDF	N/A
D$^2$CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts	Unknown	PDF	N/A
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules	Unknown	PDF	N/A
Finding Safe Zones of Markov Decision Processes Policies	Unknown	PDF	N/A
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning	Unknown	PDF	N/A
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities	Unknown	PDF	N/A
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization	Unknown	PDF	N/A
VPGTrans: Transfer Visual Prompt Generator across LLMs	Unknown	PDF	N/A
Sharp Calibrated Gaussian Processes	Unknown	PDF	N/A
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking	Unknown	PDF	N/A
Unlocking Deterministic Robustness Certification on ImageNet	Unknown	PDF	N/A
Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation	Unknown	PDF	N/A
4D Panoptic Scene Graph Generation	Unknown	PDF	N/A
Katakomba: Tools and Benchmarks for Data-Driven NetHack	Unknown	PDF	N/A
Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning	Unknown	PDF	N/A
No Representation Rules Them All in Category Discovery	Unknown	PDF	N/A
PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection	Unknown	PDF	N/A
Best Arm Identification with Fixed Budget: A Large Deviation Perspective	Unknown	PDF	N/A
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders	Unknown	PDF	N/A
VoxDet: Voxel Learning for Novel Instance Detection	Unknown	PDF	N/A
L2T-DLN: Learning to Teach with Dynamic Loss Network	Unknown	PDF	N/A
A Multi-modal Global Instance Tracking Benchmark (MGIT): Better Locating Target in Complex Spatio-temporal and Causal Relationship	Unknown	PDF	N/A
NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation	Unknown	PDF	N/A
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning	Unknown	PDF	N/A
Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks	Unknown	PDF	N/A
MultiVENT: Multilingual Videos of Events and Aligned Natural Text	Unknown	PDF	N/A
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection	Unknown	PDF	N/A
A Dataset of Relighted 3D Interacting Hands	Unknown	PDF	N/A
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL	Unknown	PDF	N/A
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark	Unknown	PDF	N/A
Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena	Unknown	PDF	N/A
Language-based Action Concept Spaces Improve Video Self-Supervised Learning	Unknown	PDF	N/A
RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars	Unknown	PDF	N/A
Revisiting the Evaluation of Image Synthesis with GANs	Unknown	PDF	N/A
Tanh Works Better with Asymmetry	Unknown	PDF	N/A
Active Reasoning in an Open-World Environment	Unknown	PDF	N/A
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications	Unknown	PDF	N/A
EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models	Unknown	PDF	N/A
Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization	Unknown	PDF	N/A
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images	Unknown	PDF	N/A
UDC-SIT: A Real-World Dataset for Under-Display Cameras	Unknown	PDF	N/A
MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing	Unknown	PDF	N/A
OV-PARTS: Towards Open-Vocabulary Part Segmentation	Unknown	PDF	N/A
Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis	Unknown	PDF	N/A
Mr. HiSum: A Large-scale Dataset for Video Highlight Detection and Summarization	Unknown	PDF	N/A
Stanford-ORB: A Real-World 3D Object Inverse Rendering Benchmark	Unknown	PDF	N/A
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths	Unknown	PDF	N/A
Learning Human Action Recognition Representations Without Real Humans	Unknown	PDF	N/A
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry	Unknown	PDF	N/A
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models	Unknown	PDF	N/A
PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance	Unknown	PDF	N/A
Cola: A Benchmark for Compositional Text-to-image Retrieval	Unknown	PDF	N/A
Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback	Unknown	PDF	N/A
AQuA: A Benchmarking Tool for Label Quality Assessment	Unknown	PDF	N/A
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias	Unknown	PDF	N/A
M$^2$Hub: Unlocking the Potential of Machine Learning for Materials Discovery	Unknown	PDF	N/A
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation	Unknown	PDF	N/A
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence	Unknown	PDF	N/A
Improving CLIP Training with Language Rewrites	Unknown	PDF	N/A
StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners	Unknown	PDF	N/A
Factorized Contrastive Learning: Going Beyond Multi-view Redundancy	Unknown	PDF	N/A
OpenDataVal: a Unified Benchmark for Data Valuation	Unknown	PDF	N/A
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework	Unknown	PDF	N/A
Uncovering Neural Scaling Laws in Molecular Representation Learning	Unknown	PDF	N/A
Learning Curves for Deep Structured Gaussian Feature Models	Unknown	PDF	N/A
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark	Unknown	PDF	N/A
The Cambridge Law Corpus: A Corpus for Legal AI Research	Unknown	PDF	N/A
Beyond Confidence: Reliable Models Should Also Consider Atypicality	Unknown	PDF	N/A
OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment	Unknown	PDF	N/A
Does progress on ImageNet transfer to real-world datasets?	Unknown	PDF	N/A
Ethical Considerations for Responsible Data Curation	Unknown	PDF	N/A
Active Vision Reinforcement Learning under Limited Visual Observability	Unknown	PDF	N/A
PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios	Unknown	PDF	N/A
Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection	Unknown	PDF	N/A
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation	Unknown	PDF	N/A
Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback	Unknown	PDF	N/A
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction	Unknown	PDF	N/A
EPIC Fields: Marrying 3D Geometry and Video Understanding	Unknown	PDF	N/A
FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding	Unknown	PDF	N/A
Compact Neural Volumetric Video Representations with Dynamic Codebooks	Unknown	PDF	N/A
Training Energy-Based Normalizing Flow with Score-Matching Objectives	Unknown	PDF	N/A
Metropolis Sampling for Constrained Diffusion Models	Unknown	PDF	N/A
Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning	Unknown	PDF	N/A
OpenAssistant Conversations - Democratizing Large Language Model Alignment	Unknown	PDF	N/A
Learning To Dive In Branch And Bound	Unknown	PDF	N/A
RealTime QA: What's the Answer Right Now?	Unknown	PDF	N/A
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping	Unknown	PDF	N/A
Building Socio-culturally Inclusive Stereotype Resources with Community Engagement	Unknown	PDF	N/A
Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis	Unknown	PDF	N/A
Mathematical Capabilities of ChatGPT	Unknown	PDF	N/A
DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation	Unknown	PDF	N/A
How to Data in Datathons	Unknown	PDF	N/A
EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event Cameras	Unknown	PDF	N/A
Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity	Unknown	PDF	N/A
Alexa Arena: A User-Centric Interactive Platform for Embodied AI	Unknown	PDF	N/A
SG×P : A Sorghum Genotype × Phenotype Prediction Dataset and Benchmark	Unknown	PDF	N/A
The Waymo Open Sim Agents Challenge	Unknown	PDF	N/A
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates	Unknown	PDF	N/A
Towards Higher Ranks via Adversarial Weight Pruning	Unknown	PDF	N/A
A High-Resolution Dataset for Instance Detection with Multi-View Object Capture	Unknown	PDF	N/A
Optimal Transport-Guided Conditional Score-Based Diffusion Model	Unknown	PDF	N/A
Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs	Unknown	PDF	N/A
Natural Language Instruction-following with Task-related Language Development and Translation	Unknown	PDF	N/A
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union	Unknown	PDF	N/A
An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement	Unknown	PDF	N/A
DAC-DETR: Divide the Attention Layers and Conquer	Unknown	PDF	N/A
PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance	Unknown	PDF	N/A
rPPG-Toolbox: Deep Remote PPG Toolbox	Unknown	PDF	N/A
IDRNet: Intervention-Driven Relation Network for Semantic Segmentation	Unknown	PDF	N/A
Decoding the Enigma: Benchmarking Humans and AIs on the Many Facets of Working Memory	Unknown	PDF	N/A
DVSOD: RGB-D Video Salient Object Detection	Unknown	PDF	N/A
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation	Unknown	PDF	N/A
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing	Unknown	PDF	N/A
Interactive Visual Reasoning under Uncertainty	Unknown	PDF	N/A
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning	Unknown	PDF	N/A
Elastic Decision Transformer	Unknown	PDF	N/A
NurViD: A Large Expert-Level Video Database for Nursing Procedure Activity Understanding	Unknown	PDF	N/A
Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase	Unknown	PDF	N/A
Temporal Robustness against Data poisoning	Unknown	PDF	N/A
Focus Your Attention when Few-Shot Classification	Unknown	PDF	N/A
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns	Unknown	PDF	N/A
Real3D-AD: A Dataset of Point Cloud Anomaly Detection	Unknown	PDF	N/A
Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving	Unknown	PDF	N/A
Temporal Graph Benchmark for Machine Learning on Temporal Graphs	Unknown	PDF	N/A
Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks	Unknown	PDF	N/A
An Information Theory Perspective on Variance-Invariance-Covariance Regularization	Unknown	PDF	N/A
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics	Unknown	PDF	N/A
RGMIL: Guide Your Multiple-Instance Learning Model with Regressor	Unknown	PDF	N/A
OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping	Unknown	PDF	N/A
A Comprehensive Benchmark for Neural Human Radiance Fields	Unknown	PDF	N/A
LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark	Unknown	PDF	N/A
Should We Learn Most Likely Functions or Parameters?	Unknown	PDF	N/A
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization	Unknown	PDF	N/A
Protein Design with Guided Discrete Diffusion	Unknown	PDF	N/A
OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects	Unknown	PDF	N/A
EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding	Unknown	PDF	N/A
XES3G5M: A Knowledge Tracing Benchmark Dataset with Auxiliary Information	Unknown	PDF	N/A
MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning	Unknown	PDF	N/A
AttrSeg: Open-Vocabulary Semantic Segmentation via Attribute Decomposition-Aggregation	Unknown	PDF	N/A
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition	Unknown	PDF	N/A
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models	Unknown	PDF	N/A
ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification	Unknown	PDF	N/A
Humans in Kitchens: A Dataset for Multi-Person Human Motion Forecasting with Scene Context	Unknown	PDF	N/A
Low-shot Object Learning with Mutual Exclusivity Bias	Unknown	PDF	N/A
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting	Unknown	PDF	N/A
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition	Unknown	PDF	N/A
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning	Unknown	PDF	N/A
How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception	Unknown	PDF	N/A
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing	Unknown	PDF	N/A
SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation	Unknown	PDF	N/A
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research	Unknown	PDF	N/A
Parallel-mentoring for Offline Model-based Optimization	Unknown	PDF	N/A
RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions	Unknown	PDF	N/A
Predicting a Protein's Stability under a Million Mutations	Unknown	PDF	N/A
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models	Unknown	PDF	N/A
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image	Unknown	PDF	N/A
ARTIC3D: Learning Robust Articulated 3D Shapes from Noisy Web Image Collections	Unknown	PDF	N/A
ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors	Unknown	PDF	N/A
Faster Differentially Private Convex Optimization via Second-Order Methods	Unknown	PDF	N/A
Counting Distinct Elements Under Person-Level Differential Privacy	Unknown	PDF	N/A
Privacy Auditing with One (1) Training Run	Unknown	PDF	N/A
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models	Unknown	PDF	N/A
Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case	Unknown	PDF	N/A
JourneyDB: A Benchmark for Generative Image Understanding	Unknown	PDF	N/A
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples	Unknown	PDF	N/A
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text	Unknown	PDF	N/A
VidChapters-7M: Video Chapters at Scale	Unknown	PDF	N/A
When Do Neural Nets Outperform Boosted Trees on Tabular Data?	Unknown	PDF	N/A
NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations	Unknown	PDF	N/A
WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes	Unknown	PDF	N/A
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph	Unknown	PDF	N/A
Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner	Unknown	PDF	N/A
Degraded Polygons Raise Fundamental Questions of Neural Network Perception	Unknown	PDF	N/A
Benchmarking Large Language Models on CMExam - A comprehensive Chinese Medical Exam Dataset	Unknown	PDF	N/A
Benchmarking Foundation Models with Language-Model-as-an-Examiner	Unknown	PDF	N/A
QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution	Unknown	PDF	N/A
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis	Unknown	PDF	N/A
BiMatting: Efficient Video Matting via Binarization	Unknown	PDF	N/A
Segment Anything in High Quality	Unknown	PDF	N/A
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data	Unknown	PDF	N/A
Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Bone Shape Reconstruction	Unknown	PDF	N/A
LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models	Unknown	PDF	N/A
Masked Two-channel Decoupling Framework for Incomplete Multi-view Weak Multi-label Learning	Unknown	PDF	N/A
Validated Image Caption Rating Dataset	Unknown	PDF	N/A
Video Timeline Modeling For News Story Understanding	Unknown	PDF	N/A
Learning Trajectories are Generalization Indicators	Unknown	PDF	N/A
Echoes Beyond Points: Unleashing the Power of Raw Radar Data in Multi-modality Fusion	Unknown	PDF	N/A
3D-Aware Visual Question Answering about Parts, Poses and Occlusions	Unknown	PDF	N/A
Reinforcement Learning with Fast and Forgetful Memory	Unknown	PDF	N/A
Benchmarking Distribution Shift in Tabular Data with TableShift	Unknown	PDF	N/A
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models	Unknown	PDF	N/A
On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes	Unknown	PDF	N/A
Hierarchical Open-vocabulary Universal Image Segmentation	Unknown	PDF	N/A
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs	Unknown	PDF	N/A
When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment	Unknown	PDF	N/A
DAW: Exploring the Better Weighting Function for Semi-supervised Semantic Segmentation	Unknown	PDF	N/A
LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering	Unknown	PDF	N/A
ADGym: Design Choices for Deep Anomaly Detection	Unknown	PDF	N/A
Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones	Unknown	PDF	N/A
LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios	Unknown	PDF	N/A
The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only	Unknown	PDF	N/A
Binarized Spectral Compressive Imaging	Unknown	PDF	N/A
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web	Unknown	PDF	N/A
SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots	Unknown	PDF	N/A
LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing	Unknown	PDF	N/A
Lo-Hi: Practical ML Drug Discovery Benchmark	Unknown	PDF	N/A
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation	Unknown	PDF	N/A
Sharpness-Aware Minimization Leads to Low-Rank Features	Unknown	PDF	N/A
Evaluating Self-Supervised Learning for Molecular Graph Embeddings	Unknown	PDF	N/A
CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes	Unknown	PDF	N/A
Revealing the unseen: Benchmarking video action recognition under occlusion	Unknown	PDF	N/A
CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations	Unknown	PDF	N/A
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs	Unknown	PDF	N/A
Understanding Social Reasoning in Language Models with Language Models	Unknown	PDF	N/A
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?	Unknown	PDF	N/A
Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design	Unknown	PDF	N/A
Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework	Unknown	PDF	N/A
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers	Unknown	PDF	N/A
Contrastive Training of Complex-Valued Autoencoders for Object Discovery	Unknown	PDF	N/A
Towards Stable Backdoor Purification through Feature Shift Tuning	Unknown	PDF	N/A
Deep Contract Design via Discontinuous Networks	Unknown	PDF	N/A
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization	Unknown	PDF	N/A
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning	Unknown	PDF	N/A
On the Generalization Properties of Diffusion Models	Unknown	PDF	N/A
Collaborative Score Distillation for Consistent Visual Editing	Unknown	PDF	N/A
Multi-scale Diffusion Denoised Smoothing	Unknown	PDF	N/A
Improving Language Plasticity via Pretraining with Active Forgetting	Unknown	PDF	N/A
Alternation makes the adversary weaker in two-player games	Unknown	PDF	N/A
Graph Contrastive Learning with Stable and Scalable Spectral Encoding	Unknown	PDF	N/A
Textually Pretrained Speech Language Models	Unknown	PDF	N/A
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections	Unknown	PDF	N/A
Effective Bayesian Heteroscedastic Regression with Deep Neural Networks	Unknown	PDF	N/A
Continuous-Time Functional Diffusion Processes	Unknown	PDF	N/A
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models	Unknown	PDF	N/A
Learning Adaptive Tensorial Density Fields for Clean Cryo-ET Reconstruction	Unknown	PDF	N/A
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization	Unknown	PDF	N/A
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection	Unknown	PDF	N/A
Disentangling Cognitive Diagnosis with Limited Exercise Labels	Unknown	PDF	N/A
Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms	Unknown	PDF	N/A
(Amplified) Banded Matrix Factorization: A unified approach to private training	Unknown	PDF	N/A
Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy	Unknown	PDF	N/A
Adversarial Robustness through Random Weight Sampling	Unknown	PDF	N/A
Language Models Meet World Models: Embodied Experiences Enhance Language Models	Unknown	PDF	N/A
Model-enhanced Vector Index	Unknown	PDF	N/A
Beyond Normal: On the Evaluation of Mutual Information Estimators	Unknown	PDF	N/A
ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns	Unknown	PDF	N/A
Representational Strengths and Limitations of Transformers	Unknown	PDF	N/A
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms	Unknown	PDF	N/A
Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares	Unknown	PDF	N/A
A Spectral Theory of Neural Prediction and Alignment	Unknown	PDF	N/A
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective	Unknown	PDF	N/A
A Cross-Moment Approach for Causal Effect Estimation	Unknown	PDF	N/A
Learning the Efficient Frontier	Unknown	PDF	N/A
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training	Unknown	PDF	N/A
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information	Unknown	PDF	N/A
Information Maximizing Curriculum: A Curriculum-Based Approach for Learning Versatile Skills	Unknown	PDF	N/A
3D Indoor Instance Segmentation in an Open-World	Unknown	PDF	N/A
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models	Unknown	PDF	N/A
Generalization bounds for neural ordinary differential equations and deep residual networks	Unknown	PDF	N/A
Spike-driven Transformer	Unknown	PDF	N/A
Learning threshold neurons via edge of stability	Unknown	PDF	N/A
Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration	Unknown	PDF	N/A
NeRF-IBVS: Visual Servo Based on NeRF for Visual Localization and Navigation	Unknown	PDF	N/A
Image Captioners Are Scalable Vision Learners Too	Unknown	PDF	N/A
Boosting Adversarial Transferability by Achieving Flat Local Maxima	Unknown	PDF	N/A
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis	Unknown	PDF	N/A
Calibrate and Boost Logical Expressiveness of GNN Over Multi-Relational and Temporal Graphs	Unknown	PDF	N/A
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images	Unknown	PDF	N/A
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective	Unknown	PDF	N/A
Dynamic Sparsity Is Channel-Level Sparsity Learner	Unknown	PDF	N/A
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements	Unknown	PDF	N/A
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs	Unknown	PDF	N/A
DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models	Unknown	PDF	N/A
In-Context Impersonation Reveals Large Language Models' Strengths and Biases	Unknown	PDF	N/A
Don’t just prune by magnitude! Your mask topology is a secret weapon	Unknown	PDF	N/A
Transfer Learning with Affine Model Transformation	Unknown	PDF	N/A
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning	Unknown	PDF	N/A
Spiking PointNet: Spiking Neural Networks for Point Clouds	Unknown	PDF	N/A
Episodic Multi-Task Learning with Heterogeneous Neural Processes	Unknown	PDF	N/A
PaintSeg: Painting Pixels for Training-free Segmentation	Unknown	PDF	N/A
Faith and Fate: Limits of Transformers on Compositionality	Unknown	PDF	N/A
Faster approximate subgraph counts with privacy	Unknown	PDF	N/A
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks	Unknown	PDF	N/A
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering	Unknown	PDF	N/A
SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization	Unknown	PDF	N/A
Skill-it! A data-driven skills framework for understanding and training language models	Unknown	PDF	N/A
Debiasing Pretrained Generative Models by Uniformly Sampling Semantic Attributes	Unknown	PDF	N/A
Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition	Unknown	PDF	N/A
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers	Unknown	PDF	N/A
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling	Unknown	PDF	N/A
StyleDrop: Text-to-Image Synthesis of Any Style	Unknown	PDF	N/A
Three Towers: Flexible Contrastive Learning with Pretrained Image Models	Unknown	PDF	N/A
When Can We Track Significant Preference Shifts in Dueling Bandits?	Unknown	PDF	N/A
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets	Unknown	PDF	N/A
Nash Regret Guarantees for Linear Bandits	Unknown	PDF	N/A
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning	Unknown	PDF	N/A
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation	Unknown	PDF	N/A
PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile	Unknown	PDF	N/A
Robust low-rank training via approximate orthonormal constraints	Unknown	PDF	N/A
GNeSF: Generalizable Neural Semantic Fields	Unknown	PDF	N/A
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training	Unknown	PDF	N/A
MAViL: Masked Audio-Video Learners	Unknown	PDF	N/A
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm	Unknown	PDF	N/A
Interpretable Graph Networks Formulate Universal Algebra Conjectures	Unknown	PDF	N/A
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models	Unknown	PDF	N/A
Self-Refine: Iterative Refinement with Self-Feedback	Unknown	PDF	N/A
CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra	Unknown	PDF	N/A
Dataset Diffusion: Diffusion-based Synthetic Data Generation for Pixel-Level Semantic Segmentation	Unknown	PDF	N/A
White-Box Transformers via Sparse Rate Reduction	Unknown	PDF	N/A
4M: Massively Multimodal Masked Modeling	Unknown	PDF	N/A
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality	Unknown	PDF	N/A
Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets	Unknown	PDF	N/A
RDumb: A simple approach that questions our progress in continual test-time adaptation	Unknown	PDF	N/A
Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution	Unknown	PDF	N/A
RevColV2: Exploring Disentangled Representations in Masked Image Modeling	Unknown	PDF	N/A
PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models	Unknown	PDF	N/A
Making Scalable Meta Learning Practical	Unknown	PDF	N/A
Hierarchical Integration Diffusion Model for Realistic Image Deblurring	Unknown	PDF	N/A
CAP: Correlation-Aware Pruning for Highly-Accurate Sparse Vision Models	Unknown	PDF	N/A
MoVie: Visual Model-Based Policy Adaptation for View Generalization	Unknown	PDF	N/A
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees	Unknown	PDF	N/A
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations	Unknown	PDF	N/A
Leveraging the two-timescale regime to demonstrate convergence of neural networks	Unknown	PDF	N/A
Training Chain-of-Thought via Latent-Variable Inference	Unknown	PDF	N/A
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning	Unknown	PDF	N/A
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter	Unknown	PDF	N/A
Context-PIPs: Persistent Independent Particles Demands Spatial Context Features	Unknown	PDF	N/A
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D Detection	Unknown	PDF	N/A
ZipLM: Inference-Aware Structured Pruning of Language Models	Unknown	PDF	N/A
Does a sparse ReLU network training problem always admit an optimum ?	Unknown	PDF	N/A
Large Language Models of Code Fail at Completing Code with Potential Bugs	Unknown	PDF	N/A
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline	Unknown	PDF	N/A
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks	Unknown	PDF	N/A
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing	Unknown	PDF	N/A
Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method	Unknown	PDF	N/A
SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling	Unknown	PDF	N/A
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations	Unknown	PDF	N/A
Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification	Unknown	PDF	N/A
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence	Unknown	PDF	N/A
EvoPrompting: Language Models for Code-Level Neural Architecture Search	Unknown	PDF	N/A
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression	Unknown	PDF	N/A
Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations	Unknown	PDF	N/A
TextDiffuser: Diffusion Models as Text Painters	Unknown	PDF	N/A
On permutation symmetries in Bayesian neural network posteriors: a variational perspective	Unknown	PDF	N/A
Computing Optimal Nash Equilibria in Multiplayer Games	Unknown	PDF	N/A
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning	Unknown	PDF	N/A
Fine-Grained Visual Prompting	Unknown	PDF	N/A
Unconstrained Dynamic Regret via Sparse Coding	Unknown	PDF	N/A
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation	Unknown	PDF	N/A
DiffComplete: Diffusion-based Generative 3D Shape Completion	Unknown	PDF	N/A
Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities	Unknown	PDF	N/A
Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity	Unknown	PDF	N/A
Individual Arbitrariness and Group Fairness	Unknown	PDF	N/A
UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation	Unknown	PDF	N/A
Explore In-Context Learning for 3D Point Cloud Understanding	Unknown	PDF	N/A
Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning	Unknown	PDF	N/A
StateMask: Explaining Deep Reinforcement Learning through State Mask	Unknown	PDF	N/A
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models	Unknown	PDF	N/A
Transformers learn through gradual rank increase	Unknown	PDF	N/A
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information	Unknown	PDF	N/A
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning	Unknown	PDF	N/A
Weakly-Supervised Audio-Visual Segmentation	Unknown	PDF	N/A
Retrieval-Augmented Multiple Instance Learning	Unknown	PDF	N/A
Unsupervised Semantic Correspondence Using Stable Diffusion	Unknown	PDF	N/A
Meta-in-context learning in large language models	Unknown	PDF	N/A
Offline RL with Discrete Proxy Representations for Generalizability in POMDPs	Unknown	PDF	N/A
Knowledge Distillation Performs Partial Variance Reduction	Unknown	PDF	N/A
H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection	Unknown	PDF	N/A
Exploiting Correlated Auxiliary Feedback in Parameterized Bandits	Unknown	PDF	N/A
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection	Unknown	PDF	N/A
GAUCHE: A Library for Gaussian Processes in Chemistry	Unknown	PDF	N/A
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships	Unknown	PDF	N/A
BayesDAG: Gradient-Based Posterior Inference for Causal Discovery	Unknown	PDF	N/A
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model	Unknown	PDF	N/A
Error Discovery By Clustering Influence Embeddings	Unknown	PDF	N/A
Quasi-Monte Carlo Graph Random Features	Unknown	PDF	N/A
Operator Learning with Neural Fields: Tackling PDEs on General Geometries	Unknown	PDF	N/A
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization	Unknown	PDF	N/A
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models	Unknown	PDF	N/A
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face	Unknown	PDF	N/A
Federated Multi-Objective Learning	Unknown	PDF	N/A
A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings	Unknown	PDF	N/A
Goal Driven Discovery of Distributional Differences via Language Descriptions	Unknown	PDF	N/A
Counterfactual Generation with Identifiability Guarantees	Unknown	PDF	N/A
CS-Isolate: Extracting Hard Confident Examples by Content and Style Isolation	Unknown	PDF	N/A
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection	Unknown	PDF	N/A
Convex-Concave Zero-Sum Markov Stackelberg Games	Unknown	PDF	N/A
Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics	Unknown	PDF	N/A
Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization	Unknown	PDF	N/A
MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining	Unknown	PDF	N/A
Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks	Unknown	PDF	N/A
Real-World Image Super-Resolution as Multi-Task Learning	Unknown	PDF	N/A
ProteinNPT: Improving Protein Property Prediction and Design with Non-Parametric Transformers	Unknown	PDF	N/A
Counterfactually Comparing Abstaining Classifiers	Unknown	PDF	N/A
Koopman Kernel Regression	Unknown	PDF	N/A
KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs	Unknown	PDF	N/A
Achieving $\mathcal{O}(\epsilon^{-1.5})$ Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization	Unknown	PDF	N/A
Contrastive Moments: Unsupervised Halfspace Learning in Polynomial Time	Unknown	PDF	N/A
Lossy Image Compression with Conditional Diffusion Models	Unknown	PDF	N/A
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity	Unknown	PDF	N/A
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning	Unknown	PDF	N/A
Regret Minimization via Saddle Point Optimization	Unknown	PDF	N/A
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft	Unknown	PDF	N/A
Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback	Unknown	PDF	N/A
Experiment Planning with Function Approximation	Unknown	PDF	N/A
Exploring Diverse In-Context Configurations for Image Captioning	Unknown	PDF	N/A
Characterizing Out-of-Distribution Error via Optimal Transport	Unknown	PDF	N/A
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images	Unknown	PDF	N/A
Contextual Gaussian Process Bandits with Neural Networks	Unknown	PDF	N/A
Labeling Neural Representations with Inverse Recognition	Unknown	PDF	N/A
Coop: Memory is not a Commodity	Unknown	PDF	N/A
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining	Unknown	PDF	N/A
A Causal Framework for Decomposing Spurious Variations	Unknown	PDF	N/A
PromptRestorer: A Prompting Image Restoration Method with Degradation Perception	Unknown	PDF	N/A
Adversarial Counterfactual Environment Model Learning	Unknown	PDF	N/A
Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback	Unknown	PDF	N/A
Data Selection for Language Models via Importance Resampling	Unknown	PDF	N/A
Linear Time Algorithms for k-means with Multi-Swap Local Search	Unknown	PDF	N/A
Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes	Unknown	PDF	N/A
Foundation Model is Efficient Multimodal Multitask Model Selector	Unknown	PDF	N/A
Network Regression with Graph Laplacians	Unknown	PDF	N/A
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation	Unknown	PDF	N/A
KuaiSim: A Comprehensive Simulator for Recommender Systems	Unknown	PDF	N/A
Universality and Limitations of Prompt Tuning	Unknown	PDF	N/A
[Re] Pure Noise to the Rescue of Insufficient Data	Unknown	PDF	N/A
ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction	Unknown	PDF	N/A
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training	Unknown	PDF	N/A
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models	Unknown	PDF	N/A
Scientific Document Retrieval using Multi-level Aspect-based Queries	Unknown	PDF	N/A
Model Sparsity Can Simplify Machine Unlearning	Unknown	PDF	N/A
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets	Unknown	PDF	N/A
Guide Your Agent with Adaptive Multimodal Rewards	Unknown	PDF	N/A
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency	Unknown	PDF	N/A
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management	Unknown	PDF	N/A
SwiFT: Swin 4D fMRI Transformer	Unknown	PDF	N/A
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities	Unknown	PDF	N/A
Asymptotically Optimal Quantile Pure Exploration for Infinite-Armed Bandits	Unknown	PDF	N/A
Sharp Spectral Rates for Koopman Operator Learning	Unknown	PDF	N/A
Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency	Unknown	PDF	N/A
MMD Aggregated Two-Sample Test	Unknown	PDF	N/A
PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones	Unknown	PDF	N/A
Decorate3D: Text-Driven High-Quality Texture Generation for Mesh Decoration in the Wild	Unknown	PDF	N/A
Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker	Unknown	PDF	N/A
A Diffusion-Model of Joint Interactive Navigation	Unknown	PDF	N/A
The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance	Unknown	PDF	N/A
High Precision Causal Model Evaluation with Conditional Randomization	Unknown	PDF	N/A
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent	Unknown	PDF	N/A
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees	Unknown	PDF	N/A
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power	Unknown	PDF	N/A
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits	Unknown	PDF	N/A
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability	Unknown	PDF	N/A
Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training	Unknown	PDF	N/A
Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance	Unknown	PDF	N/A
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition	Unknown	PDF	N/A
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation	Unknown	PDF	N/A
Percentile Criterion Optimization in Offline Reinforcement Learning	Unknown	PDF	N/A
VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution	Unknown	PDF	N/A
Functional Equivalence and Path Connectivity of Reducible Hyperbolic Tangent Networks	Unknown	PDF	N/A
Switching Autoregressive Low-rank Tensor Models	Unknown	PDF	N/A
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication	Unknown	PDF	N/A
Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model	Unknown	PDF	N/A
SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection	Unknown	PDF	N/A
Exact Bayesian Inference on Discrete Models via Probability Generating Functions: A Probabilistic Programming Approach	Unknown	PDF	N/A
Structured Neural-PI Control with End-to-End Stability and Output Tracking Guarantees	Unknown	PDF	N/A
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples	Unknown	PDF	N/A
Global Optimality and Finite Sample Analysis of Softmax Off-Policy Actor Critic under State Distribution Mismatch	Unknown	PDF	N/A
Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost	Unknown	PDF	N/A
Provably Efficient Offline Goal-Conditioned Reinforcement Learning with General Function Approximation and Single-Policy Concentrability	Unknown	PDF	N/A
[Re] CrossWalk: Fairness-enhanced Node Representation Learning	Unknown	PDF	N/A
Parallel Sampling of Diffusion Models	Unknown	PDF	N/A
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing	Unknown	PDF	N/A
Temporal Causal Mediation through a Point Process: Direct and Indirect Effects of Healthcare Interventions	Unknown	PDF	N/A
Reproducibility Study of ”Label-Free Explainability for Unsupervised Models”	Unknown	PDF	N/A
Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data	Unknown	PDF	N/A
MiliPoint: A Point Cloud Dataset for mmWave Radar	Unknown	PDF	N/A
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation	Unknown	PDF	N/A
Survival Instinct in Offline Reinforcement Learning	Unknown	PDF	N/A
Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization	Unknown	PDF	N/A
[Re] Exploring the Role of Grammar and Word Choice in Bias Toward African American English (AAE) in Hate Speech Classification	Unknown	PDF	N/A
Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning	Unknown	PDF	N/A
[Re] FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles	Unknown	PDF	N/A
Reproducibility study of 'Proto2Proto: Can you recognise the car, the way I do?'	Unknown	PDF	N/A
Euler-Lagrange Analysis of Generative Adversarial Networks	Unknown	PDF	N/A
Energy Transformer	Unknown	PDF	N/A
Neural Lighting Simulation for Urban Scenes	Unknown	PDF	N/A
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset	Unknown	PDF	N/A
Prototypical Variational Autoencoder for 3D Few-shot Object Detection	Unknown	PDF	N/A
ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation	Unknown	PDF	N/A
Strong and Precise Modulation of Human Percepts via Robustified ANNs	Unknown	PDF	N/A
Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation	Unknown	PDF	N/A
Regularizing Neural Networks with Meta-Learning Generative Models	Unknown	PDF	N/A
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning	Unknown	PDF	N/A
Probabilistic inverse optimal control for non-linear partially observable systems disentangles perceptual uncertainty and behavioral costs	Unknown	PDF	N/A
[Re] Numerical influence of ReLU'(0) on backpropagation	Unknown	PDF	N/A
AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity	Unknown	PDF	N/A
Provably Safe Reinforcement Learning with Step-wise Violation Constraints	Unknown	PDF	N/A
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models	Unknown	PDF	N/A
On Measuring Fairness in Generative Models	Unknown	PDF	N/A
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation	Unknown	PDF	N/A
DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries	Unknown	PDF	N/A
Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset	Unknown	PDF	N/A
PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation	Unknown	PDF	N/A
[Re] Hierarchical Shrinkage: Improving the Accuracy and Interpretability of Tree-Based Methods	Unknown	PDF	N/A
[Re] VAE Approximation Error: ELBO and Exponential Families	Unknown	PDF	N/A
Reduced Policy Optimization for Continuous Control with Hard Constraints	Unknown	PDF	N/A
Sampling weights of deep neural networks	Unknown	PDF	N/A
Learning Interpretable Low-dimensional Representation via Physical Symmetry	Unknown	PDF	N/A
Towards a fuller understanding of neurons with Clustered Compositional Explanations	Unknown	PDF	N/A
Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection	Unknown	PDF	N/A
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs	Unknown	PDF	N/A
Resilient Constrained Learning	Unknown	PDF	N/A
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting	Unknown	PDF	N/A
Pairwise Causality Guided Transformers for Event Sequences	Unknown	PDF	N/A
An Iterative Self-Learning Framework for Medical Domain Generalization	Unknown	PDF	N/A
Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment	Unknown	PDF	N/A
RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency	Unknown	PDF	N/A
Causal Discovery in Semi-Stationary Time Series	Unknown	PDF	N/A
SmoothHess: ReLU Network Feature Interactions via Stein's Lemma	Unknown	PDF	N/A
Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping	Unknown	PDF	N/A
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation	Unknown	PDF	N/A
Extensible Prompts for Language Models on Zero-shot Language Style Customization	Unknown	PDF	N/A
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation	Unknown	PDF	N/A
[Re] $\mathcal{G}$-Mixup: Graph Data Augmentation for Graph Classification	Unknown	PDF	N/A
[Re] End-to-end Algorithm Synthesis with Recurrent Networks: Logical Extrapolation Without Overthinking	Unknown	PDF	N/A
[Re] Variational Neural Cellular Automata	Unknown	PDF	N/A
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models	Unknown	PDF	N/A
Equivariant Neural Operator Learning with Graphon Convolution	Unknown	PDF	N/A
Effective Human-AI Teams via Learned Natural Language Rules and Onboarding	Unknown	PDF	N/A
Easy Bayesian Transfer Learning with Informative Priors	Unknown	PDF	N/A
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference	Unknown	PDF	N/A
Stability-penalty-adaptive follow-the-regularized-leader: Sparsity, game-dependency, and best-of-both-worlds	Unknown	PDF	N/A
ANPL: Towards Natural Programming with Interactive Decomposition	Unknown	PDF	N/A
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models	Unknown	PDF	N/A
Uncovering and Quantifying Social Biases in Code Generation	Unknown	PDF	N/A
SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation	Unknown	PDF	N/A
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers	Unknown	PDF	N/A
Cappy: Outperforming and Boosting Large Multi-Task LMs with a Small Scorer	Unknown	PDF	N/A
Passive learning of active causal strategies in agents and language models	Unknown	PDF	N/A
Scissorhands: Exploiting the Persistence of Importance Hypothesis for LLM KV Cache Compression at Test Time	Unknown	PDF	N/A
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation	Unknown	PDF	N/A
SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models	Unknown	PDF	N/A
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions	Unknown	PDF	N/A
Addressing Negative Transfer in Diffusion Models	Unknown	PDF	N/A
Constant Approximation for Individual Preference Stable Clustering	Unknown	PDF	N/A
LayoutPrompter: Awaken the Design Ability of Large Language Models	Unknown	PDF	N/A
Structured Semidefinite Programming for Recovering Structured Preconditioners	Unknown	PDF	N/A
Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks	Unknown	PDF	N/A
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale	Unknown	PDF	N/A
Change point detection and inference in multivariate non-parametric models under mixing conditions	Unknown	PDF	N/A
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?	Unknown	PDF	N/A
GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints	Unknown	PDF	N/A
The geometry of hidden representations of large transformer models	Unknown	PDF	N/A
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations	Unknown	PDF	N/A
Stable Bias: Evaluating Societal Representations in Diffusion Models	Unknown	PDF	N/A
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning	Unknown	PDF	N/A
Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning	Unknown	PDF	N/A
Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation	Unknown	PDF	N/A
Parts of Speech–Grounded Subspaces in Vision-Language Models	Unknown	PDF	N/A
Reproducibility Study of “Quantifying Societal Bias Amplification in Image Captioning”	Unknown	PDF	N/A
Memory-Constrained Algorithms for Convex Optimization	Unknown	PDF	N/A
Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond	Unknown	PDF	N/A
Synthetic-to-Real Pose Estimation with Geometric Reconstruction	Unknown	PDF	N/A
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control	Unknown	PDF	N/A
Implicit Variational Inference for High-Dimensional Posteriors	Unknown	PDF	N/A
Analyzing Generalization of Neural Networks through Loss Path Kernels	Unknown	PDF	N/A
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset	Unknown	PDF	N/A
Auslan-Daily: Australian Sign Language Translation for Daily Communication and News	Unknown	PDF	N/A
Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits	Unknown	PDF	N/A
De novo Drug Design using Reinforcement Learning with Multiple GPT Agents	Unknown	PDF	N/A
Bifurcations and loss jumps in RNN training	Unknown	PDF	N/A
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation	Unknown	PDF	N/A
Taylor TD-learning	Unknown	PDF	N/A
State-space models with layer-wise nonlinearity are universal approximators with exponential decaying memory	Unknown	PDF	N/A
Estimating Noise Correlations Across Continuous Conditions With Wishart Processes	Unknown	PDF	N/A
Deep learning with kernels through RKHM and the Perron-Frobenius operator	Unknown	PDF	N/A
Efficient Training of Energy-Based Models Using Jarzynski Equality	Unknown	PDF	N/A
FABind: Fast and Accurate Protein-Ligand Binding	Unknown	PDF	N/A
A Unified Conditional Framework for Diffusion-based Image Restoration	Unknown	PDF	N/A
Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection	Unknown	PDF	N/A
NeuroGF: A Neural Representation for Fast Geodesic Distance and Path Queries	Unknown	PDF	N/A
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control	Unknown	PDF	N/A
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective	Unknown	PDF	N/A
Query-based Temporal Fusion with Explicit Motion for 3D Object Detection	Unknown	PDF	N/A
On Masked Pre-training and the Marginal Likelihood	Unknown	PDF	N/A
On Learning Necessary and Sufficient Causal Graphs	Unknown	PDF	N/A
Learning List-Level Domain-Invariant Representations for Ranking	Unknown	PDF	N/A
(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability	Unknown	PDF	N/A
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning	Unknown	PDF	N/A
Diffused Redundancy in Pre-trained Representations	Unknown	PDF	N/A
ECG-QA: A Comprehensive Question Answering Dataset Combined With Electrocardiogram	Unknown	PDF	N/A
Adversarially Robust Learning with Uncertain Perturbation Sets	Unknown	PDF	N/A
BayesTune: Bayesian Sparse Deep Model Fine-tuning	Unknown	PDF	N/A
Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams	Unknown	PDF	N/A
Rank-N-Contrast: Learning Continuous Representations for Regression	Unknown	PDF	N/A
SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models	Unknown	PDF	N/A
Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices	Unknown	PDF	N/A
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget	Unknown	PDF	N/A
Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field	Unknown	PDF	N/A
Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models	Unknown	PDF	N/A
FouriDown: Factoring Down-Sampling into Shuffling and Superposing	Unknown	PDF	N/A
Recasting Continual Learning as Sequence Modeling	Unknown	PDF	N/A
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite	Unknown	PDF	N/A
Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieval	Unknown	PDF	N/A
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP	Unknown	PDF	N/A
Regularized Behavior Cloning for Blocking the Leakage of Past Action Information	Unknown	PDF	N/A
Expressive Sign Equivariant Networks for Spectral Geometric Learning	Unknown	PDF	N/A
AdANNS: A Framework for Adaptive Semantic Search	Unknown	PDF	N/A
Continuous-time Analysis of Anchor Acceleration	Unknown	PDF	N/A
Private Federated Frequency Estimation: Adapting to the Hardness of the Instance	Unknown	PDF	N/A
Credal Marginal MAP	Unknown	PDF	N/A
Canonical normalizing flows for manifold learning	Unknown	PDF	N/A
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules	Unknown	PDF	N/A
Trial matching: capturing variability with data-constrained spiking neural networks	Unknown	PDF	N/A
ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation	Unknown	PDF	N/A
Learning Visual Prior via Generative Pre-Training	Unknown	PDF	N/A
How Re-sampling Helps for Long-Tail Learning?	Unknown	PDF	N/A
Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion	Unknown	PDF	N/A
Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning	Unknown	PDF	N/A
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning	Unknown	PDF	N/A
Mirror Diffusion Models for Constrained and Watermarked Generation	Unknown	PDF	N/A
Template-free Articulated Neural Point Clouds for Reposable View Synthesis	Unknown	PDF	N/A
Context-guided Embedding Adaptation for Effective Topic Modeling in Low-Resource Regimes	Unknown	PDF	N/A
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice	Unknown	PDF	N/A
XAGen: 3D Expressive Human Avatars Generation	Unknown	PDF	N/A
NVFi: Neural Velocity Fields for 3D Physics Learning from Dynamic Videos	Unknown	PDF	N/A
Gradient Informed Proximal Policy Optimization	Unknown	PDF	N/A
[Re] On the Reproducibility of CartoonX	Unknown	PDF	N/A
[Re] Fairness Guarantees under Demographic Shift	Unknown	PDF	N/A
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start	Unknown	PDF	N/A
OpenAGI: When LLM Meets Domain Experts	Unknown	PDF	N/A
PRODIGY: Enabling In-context Learning Over Graphs	Unknown	PDF	N/A
The Quantization Model of Neural Scaling	Unknown	PDF	N/A
Bayesian Metric Learning for Uncertainty Quantification in Image Retrieval	Unknown	PDF	N/A
MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition	Unknown	PDF	N/A
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents	Unknown	PDF	N/A
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo	Unknown	PDF	N/A
Mnemosyne: Learning to Train Transformers with Transformers	Unknown	PDF	N/A
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought	Unknown	PDF	N/A
Flow Factorized Representation Learning	Unknown	PDF	N/A
Zero-Shot Anomaly Detection via Batch Normalization	Unknown	PDF	N/A
Sensitivity in Translation Averaging	Unknown	PDF	N/A
Are GATs Out of Balance?	Unknown	PDF	N/A
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior	Unknown	PDF	N/A
A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design	Unknown	PDF	N/A
No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling	Unknown	PDF	N/A
Expanding Small-Scale Datasets with Guided Imagination	Unknown	PDF	N/A
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation	Unknown	PDF	N/A
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data	Unknown	PDF	N/A
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning	Unknown	PDF	N/A
What Do Deep Saliency Models Learn about Visual Attention?	Unknown	PDF	N/A
Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness	Unknown	PDF	N/A
Combinatorial Group Testing with Selfish Agents	Unknown	PDF	N/A
Domain Adaptive Imitation Learning with Visual Observation	Unknown	PDF	N/A
Fast Attention Requires Bounded Entries	Unknown	PDF	N/A
Adaptive Data Analysis in a Balanced Adversarial Model	Unknown	PDF	N/A
Datasets and Benchmarks for Nanophotonic Structure and Parametric Design Simulations	Unknown	PDF	N/A
A benchmark of categorical encoders for binary classification	Unknown	PDF	N/A
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates	Unknown	PDF	N/A
Learning to Tokenize for Generative Retrieval	Unknown	PDF	N/A
Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data	Unknown	PDF	N/A
Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation	Unknown	PDF	N/A
NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks	Unknown	PDF	N/A
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium	Unknown	PDF	N/A
[Re] On Explainability of Graph Neural Networks via Subgraph Explorations	Unknown	PDF	N/A
Sparse Graph Learning from Spatiotemporal Time Series	Unknown	PDF	N/A
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images	Unknown	PDF	N/A
Synthcity: a benchmark framework for diverse use cases of tabular synthetic data	Unknown	PDF	N/A
T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation	Unknown	PDF	N/A
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions	Unknown	PDF	N/A
State Regularized Policy Optimization on Data with Dynamics Shift	Unknown	PDF	N/A
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression	Unknown	PDF	N/A
GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER	Unknown	PDF	N/A
A Variational Perspective on High-Resolution ODEs	Unknown	PDF	N/A
Federated Learning via Meta-Variational Dropout	Unknown	PDF	N/A
BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking	Unknown	PDF	N/A
Interpretable Prototype-based Graph Information Bottleneck	Unknown	PDF	N/A
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion	Unknown	PDF	N/A
Iteratively Learn Diverse Strategies with State Distance Information	Unknown	PDF	N/A
Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation	Unknown	PDF	N/A
Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees	Unknown	PDF	N/A
Temporal Continual Learning with Prior Compensation for Human Motion Prediction	Unknown	PDF	N/A
[Re] On the Reproducibility of “FairCal: Fairness Calibration for Face Verification”	Unknown	PDF	N/A
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection	Unknown	PDF	N/A
Statistically Valid Variable Importance Assessment through Conditional Permutations	Unknown	PDF	N/A
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning	Unknown	PDF	N/A
Prompt-augmented Temporal Point Process for Streaming Event Sequence	Unknown	PDF	N/A
Path following algorithms for $\ell_2$-regularized $M$-estimation with approximation guarantee	Unknown	PDF	N/A
The CLIP Model is Secretly an Image-to-Prompt Converter	Unknown	PDF	N/A
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces	Unknown	PDF	N/A
Maximum Independent Set: Self-Training through Dynamic Programming	Unknown	PDF	N/A
Beyond Average Return in Markov Decision Processes	Unknown	PDF	N/A
Stochastic Approximation Approaches to Group Distributionally Robust Optimization	Unknown	PDF	N/A
Hierarchically Gated Recurrent Neural Network for Sequence Modeling	Unknown	PDF	N/A
Graph Convolutional Kernel Machine versus Graph Convolutional Networks	Unknown	PDF	N/A
Identification of Nonlinear Latent Hierarchical Models	Unknown	PDF	N/A
Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing	Unknown	PDF	N/A
A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference	Unknown	PDF	N/A
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection	Unknown	PDF	N/A
Tracr: Compiled Transformers as a Laboratory for Interpretability	Unknown	PDF	N/A
Proximity-Informed Calibration for Deep Neural Networks	Unknown	PDF	N/A
RELIC: Reproducibility and Extension on LIC metric in quantifying bias in captioning models	Unknown	PDF	N/A
[Re] Masked Autoencoders Are Small Scale Vision Learners: A Reproduction Under Resource Constraints	Unknown	PDF	N/A
AndroidInTheWild: A Large-Scale Dataset For Android Device Control	Unknown	PDF	N/A
Preference-grounded Token-level Guidance for Language Model Fine-tuning	Unknown	PDF	N/A
Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States	Unknown	PDF	N/A
Designing Robust Transformers using Robust Kernel Density Estimation	Unknown	PDF	N/A
Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning	Unknown	PDF	N/A
Towards Label Position Bias in Graph Neural Networks	Unknown	PDF	N/A
Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization	Unknown	PDF	N/A
Guiding Large Language Models via Directional Stimulus Prompting	Unknown	PDF	N/A
CAST: Cross-Attention in Space and Time for Video Action Recognition	Unknown	PDF	N/A
Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift	Unknown	PDF	N/A
Do Not Marginalize Mechanisms, Rather Consolidate!	Unknown	PDF	N/A
Cascading Contextual Assortment Bandits	Unknown	PDF	N/A
Post Hoc Explanations of Language Models Can Improve Language Models	Unknown	PDF	N/A
Likelihood Ratio Confidence Sets for Sequential Decision Making	Unknown	PDF	N/A
HiBug: On Human-Interpretable Model Debug	Unknown	PDF	N/A
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions	Unknown	PDF	N/A
Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics	Unknown	PDF	N/A
Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference	Unknown	PDF	N/A
Training Transitive and Commutative Multimodal Transformers with LoReTTa	Unknown	PDF	N/A
QLoRA: Efficient Finetuning of Quantized LLMs	Unknown	PDF	N/A
Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception	Unknown	PDF	N/A
Unleashing the Power of Randomization in Auditing Differentially Private ML	Unknown	PDF	N/A
Deep Reinforcement Learning with Plasticity Injection	Unknown	PDF	N/A
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond	Unknown	PDF	N/A
[Re] Bandit Theory and Thompson Sampling-guided Directed Evolution for Sequence Optimization	Unknown	PDF	N/A
Neural Sculpting: Uncovering hierarchically modular task structure in neural networks through pruning and network analysis	Unknown	PDF	N/A
Counterfactual Memorization in Neural Language Models	Unknown	PDF	N/A
Importance-aware Co-teaching for Offline Model-based Optimization	Unknown	PDF	N/A
Promises and Pitfalls of Threshold-based Auto-labeling	Unknown	PDF	N/A
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration	Unknown	PDF	N/A
Graph-Structured Gaussian Processes for Transferable Graph Learning	Unknown	PDF	N/A
Normalization Layers Are All That Sharpness-Aware Minimization Needs	Unknown	PDF	N/A
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations	Unknown	PDF	N/A
Large sample spectral analysis of graph-based multi-manifold clustering	Unknown	PDF	N/A
Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset	Unknown	PDF	N/A
RIO: A Benchmark for Reasoning Intention-Oriented Objects in Open Environments	Unknown	PDF	N/A
AVOIDDS: Aircraft Vision-based Intruder Detection Dataset and Simulator	Unknown	PDF	N/A
RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation	Unknown	PDF	N/A
Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization	Unknown	PDF	N/A
Self-Evaluation Guided Beam Search for Reasoning	Unknown	PDF	N/A
On the Identifiability of Sparse ICA without Assuming Non-Gaussianity	Unknown	PDF	N/A
Imitation Learning from Imperfection: Theoretical Justifications and Algorithms	Unknown	PDF	N/A
StableFDG: Style and Attention Based Learning for Federated Domain Generalization	Unknown	PDF	N/A
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation	Unknown	PDF	N/A
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery	Unknown	PDF	N/A
On the Role of Noise in the Sample Complexity of Learning Recurrent Neural Networks: Exponential Gaps for Long Sequences	Unknown	PDF	N/A
CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation	Unknown	PDF	N/A
COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs	Unknown	PDF	N/A
Optimizing Prompts for Text-to-Image Generation	Unknown	PDF	N/A
Subject-driven Text-to-Image Generation via Apprenticeship Learning	Unknown	PDF	N/A
BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction	Unknown	PDF	N/A
Data Quality in Imitation Learning	Unknown	PDF	N/A
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance	Unknown	PDF	N/A
Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer	Unknown	PDF	N/A
Robust Learning with Progressive Data Expansion Against Spurious Correlation	Unknown	PDF	N/A
Exploring and Interacting with the Set of Good Sparse Generalized Additive Models	Unknown	PDF	N/A
ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning	Unknown	PDF	N/A
Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution	Unknown	PDF	N/A
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets	Unknown	PDF	N/A
Provably Bounding Neural Network Preimages	Unknown	PDF	N/A
Into the LAION’s Den: Investigating Hate in Multimodal Datasets	Unknown	PDF	N/A
ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab	Unknown	PDF	N/A
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models	Unknown	PDF	N/A
Explainable and Efficient Randomized Voting Rules	Unknown	PDF	N/A
Mitigating Test-Time Bias for Fair Image Retrieval	Unknown	PDF	N/A
Scaling Data-Constrained Language Models	Unknown	PDF	N/A
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies	Unknown	PDF	N/A
Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean	Unknown	PDF	N/A
Dynamic Non-monotone Submodular Maximization	Unknown	PDF	N/A
Prediction and Control in Continual Reinforcement Learning	Unknown	PDF	N/A
Bridging Discrete and Backpropagation: Straight-Through and Beyond	Unknown	PDF	N/A
Diverse Community Data for Benchmarking Data Privacy Algorithms	Unknown	PDF	N/A
DataPerf: Benchmarks for Data-Centric AI Development	Unknown	PDF	N/A
Efficient Diffusion Policies For Offline Reinforcement Learning	Unknown	PDF	N/A
Improving Graph Matching with Positional Reconstruction Encoder-Decoder Network	Unknown	PDF	N/A
Explore to Generalize in Zero-Shot RL	Unknown	PDF	N/A
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data	Unknown	PDF	N/A
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems	Unknown	PDF	N/A
Ego4D Goal-Step: Toward Hierarchical Understanding of Procedural Activities	Unknown	PDF	N/A
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data	Unknown	PDF	N/A
Secure Out-of-Distribution Task Generalization with Energy-Based Models	Unknown	PDF	N/A
Expressivity-Preserving GNN Simulation	Unknown	PDF	N/A
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization	Unknown	PDF	N/A
BanditPAM++: Faster $k$-medoids Clustering	Unknown	PDF	N/A
Most Neural Networks Are Almost Learnable	Unknown	PDF	N/A
Estimating Generic 3D Room Structures from 2D Annotations	Unknown	PDF	N/A
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning	Unknown	PDF	N/A
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework	Unknown	PDF	N/A
TOA: Task-oriented Active VQA	Unknown	PDF	N/A
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models	Unknown	PDF	N/A
An Empirical Investigation of the Role of Pre-training in Lifelong Learning	Unknown	PDF	N/A
BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning	Unknown	PDF	N/A
Task-aware Distributed Source Coding under Dynamic Bandwidth	Unknown	PDF	N/A
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning	Unknown	PDF	N/A
Deep Equilibrium Based Neural Operators for Steady-State PDEs	Unknown	PDF	N/A
Replicability in Reinforcement Learning	Unknown	PDF	N/A
Have it your way: Individualized Privacy Assignment for DP-SGD	Unknown	PDF	N/A
DICES Dataset: Diversity in Conversational AI Evaluation for Safety	Unknown	PDF	N/A
DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization	Unknown	PDF	N/A
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach	Unknown	PDF	N/A
Individualized Dosing Dynamics via Neural Eigen Decomposition	Unknown	PDF	N/A
Structural Pruning for Diffusion Models	Unknown	PDF	N/A
Joint Data-Task Generation for Auxiliary Learning	Unknown	PDF	N/A
Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective	Unknown	PDF	N/A
Meta-Learning Adversarial Bandit Algorithms	Unknown	PDF	N/A
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks	Unknown	PDF	N/A
Exponentially Convergent Algorithms for Supervised Matrix Factorization	Unknown	PDF	N/A
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy	Unknown	PDF	N/A
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers	Unknown	PDF	N/A
Fundamental Limits and Tradeoffs in Invariant Representation Learning	Unknown	PDF	N/A
FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning	Unknown	PDF	N/A
Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images	Unknown	PDF	N/A
Intrinsic Gaussian Process on Unknown Manifolds with Probabilistic Metrics	Unknown	PDF	N/A
Perception Test: A Diagnostic Benchmark for Multimodal Video Models	Unknown	PDF	N/A
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics	Unknown	PDF	N/A
Diffusion Schrödinger Bridge Matching	Unknown	PDF	N/A
Conformal PID Control for Time Series Prediction	Unknown	PDF	N/A
Concentration analysis of multivariate elliptic diffusions	Unknown	PDF	N/A
Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise	Unknown	PDF	N/A
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy	Unknown	PDF	N/A
Adversarial Model for Offline Reinforcement Learning	Unknown	PDF	N/A
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network	Unknown	PDF	N/A
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off	Unknown	PDF	N/A
AbdomenAtlas-8K: Annotating 8,000 CT Volumes for Multi-Organ Segmentation in Three Weeks	Unknown	PDF	N/A
Sparse Deep Learning for Time Series Data: Theory and Applications	Unknown	PDF	N/A
Large Language Models are Visual Reasoning Coordinators	Unknown	PDF	N/A
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation	Unknown	PDF	N/A
Smooth Flipping Probability for Differential Private Sign Random Projection Methods	Unknown	PDF	N/A
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset	Unknown	PDF	N/A
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling	Unknown	PDF	N/A
Self-supervised video pretraining yields robust and more human-aligned visual representations	Unknown	PDF	N/A
Affinity-Aware Graph Networks	Unknown	PDF	N/A
Towards Personalized Federated Learning via Heterogeneous Model Reassembly	Unknown	PDF	N/A
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis	Unknown	PDF	N/A
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction	Unknown	PDF	N/A
Progressive Ensemble Distillation: Building Ensembles for Efficient Inference	Unknown	PDF	N/A
Adaptive whitening with fast gain modulation and slow synaptic plasticity	Unknown	PDF	N/A
MonoUNI: A Unified Vehicle and Infrastructure-side Monocular 3D Object Detection Network with Sufficient Depth Clues	Unknown	PDF	N/A
A Logic for Expressing Log-Precision Transformers	Unknown	PDF	N/A
The noise level in linear regression with dependent data	Unknown	PDF	N/A
Lending Interaction Wings to Recommender Systems with Conversational Agents	Unknown	PDF	N/A
Directional diffusion models for graph representation learning	Unknown	PDF	N/A
Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments	Unknown	PDF	N/A
Reining Generalization in Offline Reinforcement Learning via Representation Distinction	Unknown	PDF	N/A
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases	Unknown	PDF	N/A
Structure of universal formulas	Unknown	PDF	N/A
The Learnability of In-Context Learning	Unknown	PDF	N/A
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction	Unknown	PDF	N/A
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection	Unknown	PDF	N/A
On Learning Latent Models with Multi-Instance Weak Supervision	Unknown	PDF	N/A
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting	Unknown	PDF	N/A
Customizable Image Synthesis with Multiple Subjects	Unknown	PDF	N/A
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent	Unknown	PDF	N/A
Rethinking the Backward Propagation for Adversarial Transferability	Unknown	PDF	N/A
Geometric Neural Diffusion Processes	Unknown	PDF	N/A
SceneScape: Text-Driven Consistent Scene Generation	Unknown	PDF	N/A
Task-Robust Pre-Training for Worst-Case Downstream Adaptation	Unknown	PDF	N/A
Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning	Unknown	PDF	N/A
Low Tensor Rank Learning of Neural Dynamics	Unknown	PDF	N/A
Alignment with human representations supports robust few-shot learning	Unknown	PDF	N/A
May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations	Unknown	PDF	N/A
Estimating Koopman operators with sketching to provably learn large scale dynamical systems	Unknown	PDF	N/A
Transition-constant Normalization for Image Enhancement	Unknown	PDF	N/A
Selective Sampling and Imitation Learning via Online Regression	Unknown	PDF	N/A
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes	Unknown	PDF	N/A
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms	Unknown	PDF	N/A
NAS-X: Neural Adaptive Smoothing via Twisting	Unknown	PDF	N/A
Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products	Unknown	PDF	N/A
Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation.	Unknown	PDF	N/A
Better Correlation and Robustness: A Distribution-Balanced Self-Supervised Learning Framework for Automatic Dialogue Evaluation	Unknown	PDF	N/A
Learning to Compress Prompts with Gist Tokens	Unknown	PDF	N/A
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking	Unknown	PDF	N/A
MM-Fi: Multi-Modal Non-Intrusive 4D Human Dataset for Versatile Wireless Sensing	Unknown	PDF	N/A
Small Transformers Compute Universal Metric Embeddings	Unknown	PDF	N/A
Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics	Unknown	PDF	N/A
The Separation Capacity of Random Neural Networks	Unknown	PDF	N/A
Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data	Unknown	PDF	N/A
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds	Unknown	PDF	N/A
Toolbox for Multimodal Learn (scikit-multimodallearn)	Unknown	PDF	N/A
Graph Clustering with Graph Neural Networks	Unknown	PDF	N/A
Reproducibility study of the Fairness-enhanced Node Representation Learning	Unknown	PDF	N/A
Reproducibility Study of ”CartoonX: Cartoon Explanations of Image Classifiers”	Unknown	PDF	N/A
A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes	Unknown	PDF	N/A
Online Ad Procurement in Non-stationary Autobidding Worlds	Unknown	PDF	N/A
DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis	Unknown	PDF	N/A
VTaC: A Benchmark Dataset of Ventricular Tachycardia Alarms from ICU Monitors	Unknown	PDF	N/A
TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning	Unknown	PDF	N/A
Simple, Scalable and Effective Clustering via One-Dimensional Projections	Unknown	PDF	N/A
The Distortion of Binomial Voting Defies Expectation	Unknown	PDF	N/A
A Theory of Multimodal Learning	Unknown	PDF	N/A
Robustness Guarantees for Adversarially Trained Neural Networks	Unknown	PDF	N/A
TrojLLM: A Black-box Trojan Prompt Attack on Large Language Models	Unknown	PDF	N/A
PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds	Unknown	PDF	N/A
$H$-Consistency Bounds: Characterization and Extensions	Unknown	PDF	N/A
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation	Unknown	PDF	N/A
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization	Unknown	PDF	N/A
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control	Unknown	PDF	N/A
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting	Unknown	PDF	N/A
Langevin Quasi-Monte Carlo	Unknown	PDF	N/A
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization	Unknown	PDF	N/A
On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective	Unknown	PDF	N/A
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand	Unknown	PDF	N/A
CORL: Research-oriented Deep Offline Reinforcement Learning Library	Unknown	PDF	N/A
Train 'n Trade: Foundations of Parameter Markets	Unknown	PDF	N/A
Reproducibility Study of "Label-Free Explainability for Unsupervised Models"	Unknown	PDF	N/A
What functions can Graph Neural Networks compute on random graphs? The role of Positional Encoding	Unknown	PDF	N/A
Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs	Unknown	PDF	N/A
Non-stationary Experimental Design under Linear Trends	Unknown	PDF	N/A
Unbounded Differentially Private Quantile and Maximum Estimation	Unknown	PDF	N/A
Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression	Unknown	PDF	N/A
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels	Unknown	PDF	N/A
Sheaf Hypergraph Networks	Unknown	PDF	N/A
Theoretical Analysis of the Inductive Biases in Deep Convolutional Networks	Unknown	PDF	N/A
Improving the Knowledge Gradient Algorithm	Unknown	PDF	N/A
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits	Unknown	PDF	N/A
Subspace Identification for Multi-Source Domain Adaptation	Unknown	PDF	N/A
VeriX: Towards Verified Explainability of Deep Neural Networks	Unknown	PDF	N/A
Uni3DETR: Unified 3D Detection Transformer	Unknown	PDF	N/A
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals	Unknown	PDF	N/A
Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations	Unknown	PDF	N/A
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition	Unknown	PDF	N/A
YouTube-ASL: A Large-Scale, Open-Domain American Sign Language-English Parallel Corpus	Unknown	PDF	N/A
Scalable 3D Captioning with Pretrained Models	Unknown	PDF	N/A
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model	Unknown	PDF	N/A

NIPS 2024

Title	Author	PDF	Code URL
Spotlights	Unknown	PDF	N/A
IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons	Unknown	PDF	N/A
Is Programming by Example Solved by LLMs?	Unknown	PDF	N/A
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models	Unknown	PDF	N/A
Back to the Continuous Attractor	Unknown	PDF	N/A
SkipPredict: When to Invest in Predictions for Scheduling	Unknown	PDF	N/A
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening	Unknown	PDF	N/A
On the Expressive Power of Tree-Structured Probabilistic Circuits	Unknown	PDF	N/A
Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation	Unknown	PDF	N/A
Score-based 3D molecule generation with neural fields	Unknown	PDF	N/A
Instance-Optimal Private Density Estimation in the Wasserstein Distance	Unknown	PDF	N/A
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks	Unknown	PDF	N/A
Intervention and Conditioning in Causal Bayesian Networks	Unknown	PDF	N/A
SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead	Unknown	PDF	N/A
A Structure-Aware Framework for Learning Device Placements on Computation Graphs	Unknown	PDF	N/A
Model Fusion through Bayesian Optimization in Language Model Fine-Tuning	Unknown	PDF	N/A
Online Estimation via Offline Estimation: An Information-Theoretic Framework	Unknown	PDF	N/A
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models	Unknown	PDF	N/A
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting	Unknown	PDF	N/A
Toward Efficient Inference for Mixture of Experts	Unknown	PDF	N/A
Learning Formal Mathematics From Intrinsic Motivation	Unknown	PDF	N/A
PRODuctive bandits: Importance Weighting No More	Unknown	PDF	N/A
Random Function Descent	Unknown	PDF	N/A
Toward Approaches to Scalability in 3D Human Pose Estimation	Unknown	PDF	N/A
Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products	Unknown	PDF	N/A
Private Attribute Inference from Images with Vision-Language Models	Unknown	PDF	N/A
Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization	Unknown	PDF	N/A
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation	Unknown	PDF	N/A
Graph Neural Networks and Arithmetic Circuits	Unknown	PDF	N/A
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology	Unknown	PDF	N/A
QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation	Unknown	PDF	N/A
Constant Acceleration Flow	Unknown	PDF	N/A
Contracting with a Learning Agent	Unknown	PDF	N/A
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy	Unknown	PDF	N/A
Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity	Unknown	PDF	N/A
HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning	Unknown	PDF	N/A
On the Reproducibility of: "Learning Perturbations to Explain Time Series Predictions"	Unknown	PDF	N/A
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields	Unknown	PDF	N/A
Robust Sparse Regression with Non-Isotropic Designs	Unknown	PDF	N/A
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion	Unknown	PDF	N/A
Agent Planning with World Knowledge Model	Unknown	PDF	N/A
Latent Intrinsics Emerge from Training to Relight	Unknown	PDF	N/A
Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information	Unknown	PDF	N/A
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks	Unknown	PDF	N/A
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation	Unknown	PDF	N/A
Geometric Analysis of Nonlinear Manifold Clustering	Unknown	PDF	N/A
Generating Highly Designable Proteins with Geometric Algebra Flow Matching	Unknown	PDF	N/A
Conditional Synthesis of 3D Molecules with Time Correction Sampler	Unknown	PDF	N/A
A General Protocol to Probe Large Vision Models for 3D Physical Understanding	Unknown	PDF	N/A
Improving Deep Learning Optimization through Constrained Parameter Regularization	Unknown	PDF	N/A
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models	Unknown	PDF	N/A
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts	Unknown	PDF	N/A
Equivariant Neural Diffusion for Molecule Generation	Unknown	PDF	N/A
Transformers need glasses! Information over-squashing in language tasks	Unknown	PDF	N/A
Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions	Unknown	PDF	N/A
Learning on Large Graphs using Intersecting Communities	Unknown	PDF	N/A
Graph Edit Distance with General Costs Using Neural Set Divergence	Unknown	PDF	N/A
fMRI predictors based on language models of increasing complexity recover brain left lateralization	Unknown	PDF	N/A
Private Online Learning via Lazy Algorithms	Unknown	PDF	N/A
Autonomous Agents for Collaborative Task under Information Asymmetry	Unknown	PDF	N/A
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems	Unknown	PDF	N/A
Estimating the Hallucination Rate of Generative AI	Unknown	PDF	N/A
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability	Unknown	PDF	N/A
DAGER: Exact Gradient Inversion for Large Language Models	Unknown	PDF	N/A
A Theoretical Perspective for Speculative Decoding Algorithm	Unknown	PDF	N/A
Generative Modeling of Molecular Dynamics Trajectories	Unknown	PDF	N/A
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement	Unknown	PDF	N/A
CoBo: Collaborative Learning via Bilevel Optimization	Unknown	PDF	N/A
Controlling Continuous Relaxation for Combinatorial Optimization	Unknown	PDF	N/A
Graph Coarsening with Message-Passing Guarantees	Unknown	PDF	N/A
[Re] Reproducibility Study of “Explaining Temporal Graph Models Through an Explorer-Navigator Framework"	Unknown	PDF	N/A
Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing	Unknown	PDF	N/A
EffiBench: Benchmarking the Efficiency of Automatically Generated Code	Unknown	PDF	N/A
Solving Inverse Problems via Diffusion Optimal Control	Unknown	PDF	N/A
EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization	Unknown	PDF	N/A
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm	Unknown	PDF	N/A
Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning	Unknown	PDF	N/A
Proportional Fairness in Non-Centroid Clustering	Unknown	PDF	N/A
Fairness in Social Influence Maximization via Optimal Transport	Unknown	PDF	N/A
Attack-Aware Noise Calibration for Differential Privacy	Unknown	PDF	N/A
Accelerating ERM for data-driven algorithm design using output-sensitive techniques	Unknown	PDF	N/A
Limits of Transformer Language Models on Learning to Compose Algorithms	Unknown	PDF	N/A
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning	Unknown	PDF	N/A
4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models	Unknown	PDF	N/A
Nimbus: Secure and Efficient Two-Party Inference for Transformers	Unknown	PDF	N/A
Combining Observational Data and Language for Species Range Estimation	Unknown	PDF	N/A
Reciprocal Learning	Unknown	PDF	N/A
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models	Unknown	PDF	N/A
Entity Alignment with Noisy Annotations from Large Language Models	Unknown	PDF	N/A
SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types	Unknown	PDF	N/A
Regret Minimization in Stackelberg Games with Side Information	Unknown	PDF	N/A
Position Coupling: Improving Length Generalization of Arithmetic Transformers Using Task Structure	Unknown	PDF	N/A
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models	Unknown	PDF	N/A
MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset	Unknown	PDF	N/A
On Causal Discovery in the Presence of Deterministic Relations	Unknown	PDF	N/A
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition	Unknown	PDF	N/A
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models	Unknown	PDF	N/A
Towards Universal Mesh Movement Networks	Unknown	PDF	N/A
Expected Probabilistic Hierarchies	Unknown	PDF	N/A
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate	Unknown	PDF	N/A
Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars	Unknown	PDF	N/A
Beyond Aesthetics: Cultural Competence in Text-to-Image Models	Unknown	PDF	N/A
Studying How to Efficiently and Effectively Guide Models with Explanations - A Reproducibility Study	Unknown	PDF	N/A
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor	Unknown	PDF	N/A
RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization	Unknown	PDF	N/A
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs	Unknown	PDF	N/A
DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting	Unknown	PDF	N/A
OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI	Unknown	PDF	N/A
MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation	Unknown	PDF	N/A
Road Network Representation Learning with the Third Law of Geography	Unknown	PDF	N/A
EyeGraph: Modularity-aware Spatio Temporal Graph Clustering for Continuous Event-based Eye Tracking	Unknown	PDF	N/A
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs	Unknown	PDF	N/A
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs	Unknown	PDF	N/A
Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables	Unknown	PDF	N/A
PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques	Unknown	PDF	N/A
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models	Unknown	PDF	N/A
Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation	Unknown	PDF	N/A
Critically Assessing the State of the Art in Neural Network Verification	Unknown	PDF	N/A
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?	Unknown	PDF	N/A
Mind the Gap Between Prototypes and Images in Cross-domain Finetuning	Unknown	PDF	N/A
Aligner-Encoders: Self-Attention Transformers Can Be Self-Transducers	Unknown	PDF	N/A
Reproducibility Study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"	Unknown	PDF	N/A
TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices	Unknown	PDF	N/A
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection	Unknown	PDF	N/A
ARC: A Generalist Graph Anomaly Detector with In-Context Learning	Unknown	PDF	N/A
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models	Unknown	PDF	N/A
Understanding the Transferability of Representations via Task-Relatedness	Unknown	PDF	N/A
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel	Unknown	PDF	N/A
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering	Unknown	PDF	N/A
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models	Unknown	PDF	N/A
QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion	Unknown	PDF	N/A
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations	Unknown	PDF	N/A
Reproducibility study of “LICO: Explainable Models with Language-Image Consistency"	Unknown	PDF	N/A
Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers	Unknown	PDF	N/A
The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Information	Unknown	PDF	N/A
Reproducibility study of "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework"	Unknown	PDF	N/A
Reproducibility Study of "ITI-GEN: Inclusive Text-to-Image Generation"	Unknown	PDF	N/A
Explaining RL Decisions with Trajectories': A Reproducibility Study	Unknown	PDF	N/A
[Re] On the Reproducibility of Post-Hoc Concept Bottleneck Models	Unknown	PDF	N/A
[Re] GNNInterpreter: A probabilistic generative model-level explanation for Graph Neural Networks	Unknown	PDF	N/A
Metrizing Weak Convergence with Maximum Mean Discrepancies	Unknown	PDF	N/A
Variation Spaces for Multi-Output Neural Networks: Insights on Multi-Task Learning and Network Compression	Unknown	PDF	N/A
Label Alignment Regularization for Distribution Shift	Unknown	PDF	N/A
An Analysis of Robustness of Non-Lipschitz Networks	Unknown	PDF	N/A
Topological Hidden Markov Models	Unknown	PDF	N/A
Pre-trained Gaussian Processes for Bayesian Optimization	Unknown	PDF	N/A
Causal Bandits for Linear Structural Equation Models	Unknown	PDF	N/A
Causal-learn: Causal Discovery in Python	Unknown	PDF	N/A
Optimization-based Causal Estimation from Heterogeneous Environments	Unknown	PDF	N/A
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment	Unknown	PDF	N/A
Nonparametric Regression for 3D Point Cloud Learning	Unknown	PDF	N/A
Inference on the Change Point under a High Dimensional Covariance Shift	Unknown	PDF	N/A
Dense Associative Memory Through the Lens of Random Features	Unknown	PDF	N/A
Multi-Label Learning with Stronger Consistency Guarantees	Unknown	PDF	N/A
Piecewise-Stationary Bandits with Knapsacks	Unknown	PDF	N/A
Structural Inference of Dynamical Systems with Conjoined State Space Models	Unknown	PDF	N/A
Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence	Unknown	PDF	N/A
SF-V: Single Forward Video Generation Model	Unknown	PDF	N/A
Generative Retrieval Meets Multi-Graded Relevance	Unknown	PDF	N/A
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation	Unknown	PDF	N/A
Deep Learning for Computing Convergence Rates of Markov Chains	Unknown	PDF	N/A
Counterfactual Fairness by Combining Factual and Counterfactual Predictions	Unknown	PDF	N/A
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction	Unknown	PDF	N/A
Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation	Unknown	PDF	N/A
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning	Unknown	PDF	N/A
ResAD: A Simple Framework for Class Generalizable Anomaly Detection	Unknown	PDF	N/A
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses	Unknown	PDF	N/A
Non-Euclidean Mixture Model for Social Network Embedding	Unknown	PDF	N/A
GenRL: Multimodal-foundation world models for generalization in embodied agents	Unknown	PDF	N/A
Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network	Unknown	PDF	N/A
Flatten Anything: Unsupervised Neural Surface Parameterization	Unknown	PDF	N/A
Learning Low-Rank Feature for Thorax Disease Classification	Unknown	PDF	N/A
Long-range Meta-path Search on Large-scale Heterogeneous Graphs	Unknown	PDF	N/A
On the Saturation Effects of Spectral Algorithms in Large Dimensions	Unknown	PDF	N/A
LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication	Unknown	PDF	N/A
Hierarchical Selective Classification	Unknown	PDF	N/A
SRFUND: A Multi-Granularity Hierarchical Structure Reconstruction Benchmark in Form Understanding	Unknown	PDF	N/A
Fixed points of nonnegative neural networks	Unknown	PDF	N/A
On $f$-Divergence Principled Domain Adaptation: An Improved Framework	Unknown	PDF	N/A
3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors	Unknown	PDF	N/A
Implicit Optimization Bias of Next-token Prediction in Linear Models	Unknown	PDF	N/A
Co-occurrence is not Factual Association in Language Models	Unknown	PDF	N/A
TorchOpt: An Efficient Library for Differentiable Optimization	Unknown	PDF	N/A
Efficient Convex Algorithms for Universal Kernel Learning	Unknown	PDF	N/A
Chain-of-Thought Unfaithfulness as Disguised Accuracy	Unknown	PDF	N/A
Reproducibility study of FairAC	Unknown	PDF	N/A
Unsupervised Anomaly Detection Algorithms on Real-world Data: How Many Do We Need?	Unknown	PDF	N/A
BenchMARL: Benchmarking Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Text to Blind Motion	Unknown	PDF	N/A
Supra-Laplacian Encoding for Transformer on Dynamic Graphs	Unknown	PDF	N/A
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification	Unknown	PDF	N/A
MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions	Unknown	PDF	N/A
Diffusion-Inspired Truncated Sampler for Text-Video Retrieval	Unknown	PDF	N/A
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks	Unknown	PDF	N/A
Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs	Unknown	PDF	N/A
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation	Unknown	PDF	N/A
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise	Unknown	PDF	N/A
SustainDC: Benchmarking for Sustainable Data Center Control	Unknown	PDF	N/A
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models	Unknown	PDF	N/A
No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting	Unknown	PDF	N/A
3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection	Unknown	PDF	N/A
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks	Unknown	PDF	N/A
Unified Lexical Representation for Interpretable Visual-Language Alignment	Unknown	PDF	N/A
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models	Unknown	PDF	N/A
Mercury: A Code Efficiency Benchmark for Code Large Language Models	Unknown	PDF	N/A
DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception	Unknown	PDF	N/A
ANT: Adaptive Noise Schedule for Time Series Diffusion Models	Unknown	PDF	N/A
Principled Bayesian Optimization in Collaboration with Human Experts	Unknown	PDF	N/A
DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans	Unknown	PDF	N/A
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases	Unknown	PDF	N/A
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes	Unknown	PDF	N/A
VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding	Unknown	PDF	N/A
A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data	Unknown	PDF	N/A
Transferable Adversarial Attacks on SAM and Its Downstream Models	Unknown	PDF	N/A
PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation	Unknown	PDF	N/A
HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid	Unknown	PDF	N/A
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow	Unknown	PDF	N/A
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents	Unknown	PDF	N/A
Intrinsic Self-Supervision for Data Quality Audits	Unknown	PDF	N/A
Subsurface Scattering for Gaussian Splatting	Unknown	PDF	N/A
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA	Unknown	PDF	N/A
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models	Unknown	PDF	N/A
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions	Unknown	PDF	N/A
WildGaussians: 3D Gaussian Splatting In the Wild	Unknown	PDF	N/A
Dynamic 3D Gaussian Fields for Urban Areas	Unknown	PDF	N/A
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization	Unknown	PDF	N/A
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery	Unknown	PDF	N/A
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification	Unknown	PDF	N/A
Interpretable Mesomorphic Networks for Tabular Data	Unknown	PDF	N/A
Classification Done Right for Vision-Language Pre-Training	Unknown	PDF	N/A
SplitNeRF: Split Sum Approximation Neural Field for Joint Geometry, Illumination, and Material Estimation	Unknown	PDF	N/A
Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs	Unknown	PDF	N/A
Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving	Unknown	PDF	N/A
Empowering and Assessing the Utility of Large Language Models in Crop Science	Unknown	PDF	N/A
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation	Unknown	PDF	N/A
Sparse maximal update parameterization: A holistic approach to sparse training dynamics	Unknown	PDF	N/A
HEST-1k: A Dataset For Spatial Transcriptomics and Histology Image Analysis	Unknown	PDF	N/A
Performative Control for Linear Dynamical Systems	Unknown	PDF	N/A
Elucidating the Design Space of Dataset Condensation	Unknown	PDF	N/A
ChatCam: Empowering Camera Control through Conversational AI	Unknown	PDF	N/A
VideoGUI: A Benchmark for GUI Automation from Instructional Videos	Unknown	PDF	N/A
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting	Unknown	PDF	N/A
How to Use Diffusion Priors under Sparse Views?	Unknown	PDF	N/A
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices	Unknown	PDF	N/A
MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions	Unknown	PDF	N/A
SlowFocus: Enhancing Fine-grained Temporal Understanding in Video LLM	Unknown	PDF	N/A
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX	Unknown	PDF	N/A
A Systematic Review of NeurIPS Dataset Management Practices	Unknown	PDF	N/A
Flaws can be Applause: Unleashing Potential of Segmenting Ambiguous Objects in SAM	Unknown	PDF	N/A
Human-Aware Vision-and-Language Navigation: Bridging Simulation to Reality with Dynamic Human Interactions	Unknown	PDF	N/A
Visual Riddles: a Commonsense and World Knowledge Challenge for Large Vision and Language Models	Unknown	PDF	N/A
DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States	Unknown	PDF	N/A
RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts	Unknown	PDF	N/A
NN4SysBench: Characterizing Neural Network Verification for Computer Systems	Unknown	PDF	N/A
TaskBench: Benchmarking Large Language Models for Task Automation	Unknown	PDF	N/A
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis	Unknown	PDF	N/A
MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation	Unknown	PDF	N/A
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection	Unknown	PDF	N/A
Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective	Unknown	PDF	N/A
A Cross-Domain Benchmark for Active Learning	Unknown	PDF	N/A
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection	Unknown	PDF	N/A
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion	Unknown	PDF	N/A
MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations	Unknown	PDF	N/A
Federated Model Heterogeneous Matryoshka Representation Learning	Unknown	PDF	N/A
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models	Unknown	PDF	N/A
Mini-Sequence Transformers: Optimizing Intermediate Memory for Long Sequences Training	Unknown	PDF	N/A
WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control	Unknown	PDF	N/A
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain	Unknown	PDF	N/A
StreamBench: Towards Benchmarking Continuous Improvement of Language Agents	Unknown	PDF	N/A
RobIR: Robust Inverse Rendering for High-Illumination Scenes	Unknown	PDF	N/A
WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata	Unknown	PDF	N/A
Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction	Unknown	PDF	N/A
ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model	Unknown	PDF	N/A
Mars: Situated Inductive Reasoning in an Open-World Environment	Unknown	PDF	N/A
Efficient Sketches for Training Data Attribution and Studying the Loss Landscape	Unknown	PDF	N/A
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection	Unknown	PDF	N/A
Vision-Language Navigation with Energy-Based Policy	Unknown	PDF	N/A
Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing	Unknown	PDF	N/A
DisC-GS: Discontinuity-aware Gaussian Splatting	Unknown	PDF	N/A
Benchmarking Structural Inference Methods for Interacting Dynamical Systems with Synthetic Data	Unknown	PDF	N/A
Towards Visual Text Design Transfer Across Languages	Unknown	PDF	N/A
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy	Unknown	PDF	N/A
UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles	Unknown	PDF	N/A
Paloma: A Benchmark for Evaluating Language Model Fit	Unknown	PDF	N/A
SeeA: Efficient Exploration-Enhanced A Search by Selective Sampling	Unknown	PDF	N/A
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models	Unknown	PDF	N/A
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors	Unknown	PDF	N/A
FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling	Unknown	PDF	N/A
$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning	Unknown	PDF	N/A
Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency	Unknown	PDF	N/A
Historical Test-time Prompt Tuning for Vision Foundation Models	Unknown	PDF	N/A
Instruction Tuning Large Language Models to Understand Electronic Health Records	Unknown	PDF	N/A
Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities	Unknown	PDF	N/A
Structured Matrix Basis for Multivariate Time Series Forecasting with Interpretable Dynamics	Unknown	PDF	N/A
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning	Unknown	PDF	N/A
Sharing Key Semantics in Transformer Makes Efficient Image Restoration	Unknown	PDF	N/A
Localizing Memorization in SSL Vision Encoders	Unknown	PDF	N/A
A StrongREJECT for Empty Jailbreaks	Unknown	PDF	N/A
Marginal Causal Flows for Validation and Inference	Unknown	PDF	N/A
Nuclear Fusion Diamond Polishing Dataset	Unknown	PDF	N/A
SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation	Unknown	PDF	N/A
E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding	Unknown	PDF	N/A
DINTR: Tracking via Diffusion-based Interpolation	Unknown	PDF	N/A
FLAME : Factuality-Aware Alignment for Large Language Models	Unknown	PDF	N/A
GS-Blur: A 3D Scene-Based Dataset for Realistic Image Deblurring	Unknown	PDF	N/A
Tetrahedron Splatting for 3D Generation	Unknown	PDF	N/A
Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems	Unknown	PDF	N/A
MultiOrg: A Multi-rater Organoid-detection Dataset	Unknown	PDF	N/A
Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments	Unknown	PDF	N/A
VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding	Unknown	PDF	N/A
MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations	Unknown	PDF	N/A
A Generative Model of Symmetry Transformations	Unknown	PDF	N/A
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models	Unknown	PDF	N/A
SCube: Instant Large-Scale Scene Reconstruction using VoxSplats	Unknown	PDF	N/A
Token Merging for Training-Free Semantic Binding in Text-to-Image Synthesis	Unknown	PDF	N/A
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning	Unknown	PDF	N/A
PROSPECT PTMs: Rich Labeled Tandem Mass Spectrometry Dataset of Modified Peptides for Machine Learning in Proteomics	Unknown	PDF	N/A
Perceptual Fairness in Image Restoration	Unknown	PDF	N/A
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods	Unknown	PDF	N/A
Biomedical Visual Instruction Tuning with Clinician Preference Alignment	Unknown	PDF	N/A
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction	Unknown	PDF	N/A
UrbanDataLayer: A Unified Data Pipeline for Urban Science	Unknown	PDF	N/A
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation	Unknown	PDF	N/A
SuperVLAD: Compact and Robust Image Descriptors for Visual Place Recognition	Unknown	PDF	N/A
Persistent Test-time Adaptation in Recurring Testing Scenarios	Unknown	PDF	N/A
SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking	Unknown	PDF	N/A
Tell What You Hear From What You See - Video to Audio Generation Through Text	Unknown	PDF	N/A
A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts	Unknown	PDF	N/A
Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment	Unknown	PDF	N/A
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data	Unknown	PDF	N/A
WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks	Unknown	PDF	N/A
kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution	Unknown	PDF	N/A
Neural Gaffer: Relighting Any Object via Diffusion	Unknown	PDF	N/A
A hierarchical decomposition for explaining ML performance discrepancies	Unknown	PDF	N/A
ACFun: Abstract-Concrete Fusion Facial Stylization	Unknown	PDF	N/A
PromptFix: You Prompt and We Fix the Photo	Unknown	PDF	N/A
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia	Unknown	PDF	N/A
Understanding Bias in Large-Scale Visual Datasets	Unknown	PDF	N/A
HAWK: Learning to Understand Open-World Video Anomalies	Unknown	PDF	N/A
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies	Unknown	PDF	N/A
Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs	Unknown	PDF	N/A
The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark	Unknown	PDF	N/A
The Art of Saying No: Contextual Noncompliance in Language Models	Unknown	PDF	N/A
A Practitioner's Guide to Real-World Continual Multimodal Pretraining	Unknown	PDF	N/A
GV-Rep: A Large-Scale Dataset for Genetic Variant Representation Learning	Unknown	PDF	N/A
CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence	Unknown	PDF	N/A
Goal Conditioned Reinforcement Learning for Photo Finishing Tuning	Unknown	PDF	N/A
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes	Unknown	PDF	N/A
Using Unity to Help Solve Reinforcement Learning	Unknown	PDF	N/A
Off-Policy Selection for Initiating Human-Centric Experimental Design	Unknown	PDF	N/A
Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks	Unknown	PDF	N/A
EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records	Unknown	PDF	N/A
GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps	Unknown	PDF	N/A
End-to-end Learnable Clustering for Intent Learning in Recommendation	Unknown	PDF	N/A
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models	Unknown	PDF	N/A
GLBench: A Comprehensive Benchmark for Graph with Large Language Models	Unknown	PDF	N/A
T2Vs Meet VLMs: A Scalable Multimodal Dataset for Visual Harmfulness Recognition	Unknown	PDF	N/A
Benchmarking Complex Instruction-Following with Multiple Constraints Composition	Unknown	PDF	N/A
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments	Unknown	PDF	N/A
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark	Unknown	PDF	N/A
Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry	Unknown	PDF	N/A
Conjugate Bayesian Two-step Change Point Detection for Hawkes Process	Unknown	PDF	N/A
Evaluating language models as risk scores	Unknown	PDF	N/A
IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS	Unknown	PDF	N/A
Spec-Gaussian: Anisotropic View-Dependent Appearance for 3D Gaussian Splatting	Unknown	PDF	N/A
LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low Resource and Extinct Languages	Unknown	PDF	N/A
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD	Unknown	PDF	N/A
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal	Unknown	PDF	N/A
Exploring Low-Dimensional Subspace in Diffusion Models for Controllable Image Editing	Unknown	PDF	N/A
Approaching Human-Level Forecasting with Language Models	Unknown	PDF	N/A
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models	Unknown	PDF	N/A
Shadowheart SGD: Distributed Asynchronous SGD with Optimal Time Complexity Under Arbitrary Computation and Communication Heterogeneity	Unknown	PDF	N/A
Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation	Unknown	PDF	N/A
Interactive Deep Clustering via Value Mining	Unknown	PDF	N/A
UltraPixel: Advancing Ultra High-Resolution Image Synthesis to New Peaks	Unknown	PDF	N/A
NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction	Unknown	PDF	N/A
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation	Unknown	PDF	N/A
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers	Unknown	PDF	N/A
Addressing Bias in Online Selection with Limited Budget of Comparisons	Unknown	PDF	N/A
Neural Isometries: Taming Transformations for Equivariant ML	Unknown	PDF	N/A
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation	Unknown	PDF	N/A
Robust Fine-tuning of Zero-shot Models via Variance Reduction	Unknown	PDF	N/A
Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy	Unknown	PDF	N/A
Improved off-policy training of diffusion samplers	Unknown	PDF	N/A
Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation	Unknown	PDF	N/A
A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective	Unknown	PDF	N/A
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning	Unknown	PDF	N/A
Large Scale Transfer Learning for Tabular Data via Language Modeling	Unknown	PDF	N/A
Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers	Unknown	PDF	N/A
Return of Unconditional Generation: A Self-supervised Representation Generation Method	Unknown	PDF	N/A
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge	Unknown	PDF	N/A
Towards Flexible Visual Relationship Segmentation	Unknown	PDF	N/A
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models	Unknown	PDF	N/A
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries	Unknown	PDF	N/A
Stepwise Alignment for Constrained Language Model Policy Optimization	Unknown	PDF	N/A
Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis	Unknown	PDF	N/A
Generate Universal Adversarial Perturbations for Few-Shot Learning	Unknown	PDF	N/A
VLMimic: Vision Language Models are Visual Imitation Learner for Fine-grained Actions	Unknown	PDF	N/A
Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features	Unknown	PDF	N/A
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration	Unknown	PDF	N/A
Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics	Unknown	PDF	N/A
R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction	Unknown	PDF	N/A
TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene	Unknown	PDF	N/A
Amortizing intractable inference in diffusion models for vision, language, and control	Unknown	PDF	N/A
GSDF: 3DGS Meets SDF for Improved Neural Rendering and Reconstruction	Unknown	PDF	N/A
Multi-Agent Coordination via Multi-Level Communication	Unknown	PDF	N/A
UQ-Guided Hyperparameter Optimization for Iterative Learners	Unknown	PDF	N/A
ImOV3D: Learning Open Vocabulary Point Clouds 3D Object Detection from Only 2D Images	Unknown	PDF	N/A
Compositional PAC-Bayes: Generalization of GNNs with persistence and beyond	Unknown	PDF	N/A
SocialGPT: Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization	Unknown	PDF	N/A
Cherry on Top: Parameter Heterogeneity and Quantization in Large Language Models	Unknown	PDF	N/A
Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation	Unknown	PDF	N/A
Efficient and Sharp Off-Policy Evaluation in Robust Markov Decision Processes	Unknown	PDF	N/A
MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence	Unknown	PDF	N/A
Optimal Algorithms for Online Convex Optimization with Adversarial Constraints	Unknown	PDF	N/A
DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering	Unknown	PDF	N/A
Video Token Merging for Long Video Understanding	Unknown	PDF	N/A
Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning	Unknown	PDF	N/A
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling	Unknown	PDF	N/A
PLIP: Language-Image Pre-training for Person Representation Learning	Unknown	PDF	N/A
Can Large Language Model Agents Simulate Human Trust Behavior?	Unknown	PDF	N/A
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution	Unknown	PDF	N/A
Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model	Unknown	PDF	N/A
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion	Unknown	PDF	N/A
Octopus: A Multi-modal LLM with Parallel Recognition and Sequential Understanding	Unknown	PDF	N/A
Implicit Curriculum in Procgen Made Explicit	Unknown	PDF	N/A
Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation	Unknown	PDF	N/A
MambaTree: Tree Topology is All You Need in State Space Model	Unknown	PDF	N/A
Almost Minimax Optimal Best Arm Identification in Piecewise Stationary Linear Bandits	Unknown	PDF	N/A
Boosting Graph Pooling with Persistent Homology	Unknown	PDF	N/A
LG-CAV: Train Any Concept Activation Vector with Language Guidance	Unknown	PDF	N/A
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks	Unknown	PDF	N/A
Instruction Tuning With Loss Over Instructions	Unknown	PDF	N/A
NVRC: Neural Video Representation Compression	Unknown	PDF	N/A
4+3 Phases of Compute-Optimal Neural Scaling Laws	Unknown	PDF	N/A
Causal Temporal Representation Learning with Nonstationary Sparse Transition	Unknown	PDF	N/A
Optimal deep learning of holomorphic operators between Banach spaces	Unknown	PDF	N/A
A Globally Optimal Portfolio for m-Sparse Sharpe Ratio Maximization	Unknown	PDF	N/A
Fine-grained Control of Generative Data Augmentation in IoT Sensing	Unknown	PDF	N/A
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting	Unknown	PDF	N/A
On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance	Unknown	PDF	N/A
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions	Unknown	PDF	N/A
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models	Unknown	PDF	N/A
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation	Unknown	PDF	N/A
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection	Unknown	PDF	N/A
BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models	Unknown	PDF	N/A
CigTime: Corrective Instruction Generation Through Inverse Motion Editing	Unknown	PDF	N/A
Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting	Unknown	PDF	N/A
Efficient LLM Scheduling by Learning to Rank	Unknown	PDF	N/A
Dealing with Synthetic Data Contamination in Online Continual Learning	Unknown	PDF	N/A
Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection	Unknown	PDF	N/A
Not All Tokens Are What You Need for Pretraining	Unknown	PDF	N/A
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning	Unknown	PDF	N/A
Opponent Modeling based on Subgoal Inference	Unknown	PDF	N/A
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks	Unknown	PDF	N/A
OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance	Unknown	PDF	N/A
Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion	Unknown	PDF	N/A
Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction	Unknown	PDF	N/A
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection	Unknown	PDF	N/A
Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models	Unknown	PDF	N/A
QTIP: Quantization with Trellises and Incoherence Processing	Unknown	PDF	N/A
The Space Complexity of Approximating Logistic Loss	Unknown	PDF	N/A
The Mamba in the Llama: Distilling and Accelerating Hybrid Models	Unknown	PDF	N/A
Towards Robust Multimodal Sentiment Analysis with Incomplete Data	Unknown	PDF	N/A
Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion	Unknown	PDF	N/A
HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis	Unknown	PDF	N/A
Neural Experts: Mixture of Experts for Implicit Neural Representations	Unknown	PDF	N/A
Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models.	Unknown	PDF	N/A
Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images	Unknown	PDF	N/A
Infinite-Dimensional Feature Interaction	Unknown	PDF	N/A
FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledge	Unknown	PDF	N/A
Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification	Unknown	PDF	N/A
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains	Unknown	PDF	N/A
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models	Unknown	PDF	N/A
Prospective Representation Learning for Non-Exemplar Class-Incremental Learning	Unknown	PDF	N/A
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks	Unknown	PDF	N/A
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms	Unknown	PDF	N/A
EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding	Unknown	PDF	N/A
$\textit{Bifr\"ost}$: 3D-Aware Image Compositing with Language Instructions	Unknown	PDF	N/A
Domain Adaptation for Large-Vocabulary Object Detectors	Unknown	PDF	N/A
Interpreting Learned Feedback Patterns in Large Language Models	Unknown	PDF	N/A
First-Order Methods for Linearly Constrained Bilevel Optimization	Unknown	PDF	N/A
Preferential Normalizing Flows	Unknown	PDF	N/A
MomentumSMoE: Integrating Momentum into Sparse Mixture of Experts	Unknown	PDF	N/A
Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting	Unknown	PDF	N/A
Bridging The Gap between Low-rank and Orthogonal Adaptation via Householder Reflection Adaptation	Unknown	PDF	N/A
InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory	Unknown	PDF	N/A
Logical characterizations of recurrent graph neural networks with reals and floats	Unknown	PDF	N/A
AGILE: A Novel Reinforcement Learning Framework of LLM Agents	Unknown	PDF	N/A
SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge	Unknown	PDF	N/A
Resolving Discrepancies in Compute-Optimal Scaling of Language Models	Unknown	PDF	N/A
CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense	Unknown	PDF	N/A
SpikeReveal: Unlocking Temporal Sequences from Real Blurry Inputs with Spike Streams	Unknown	PDF	N/A
Constrained Sampling with Primal-Dual Langevin Monte Carlo	Unknown	PDF	N/A
Self-playing Adversarial Language Game Enhances LLM Reasoning	Unknown	PDF	N/A
S2HPruner: Soft-to-Hard Distillation Bridges the Discretization Gap in Pruning	Unknown	PDF	N/A
SDformer: Similarity-driven Discrete Transformer For Time Series Generation	Unknown	PDF	N/A
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner	Unknown	PDF	N/A
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction	Unknown	PDF	N/A
Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games	Unknown	PDF	N/A
RL-GPT: Integrating Reinforcement Learning and Code-as-policy	Unknown	PDF	N/A
MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages	Unknown	PDF	N/A
Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz	Unknown	PDF	N/A
Shaping the distribution of neural responses with interneurons in a recurrent circuit model	Unknown	PDF	N/A
CLIP in Mirror: Disentangling text from visual images through reflection	Unknown	PDF	N/A
Sample-Efficient Constrained Reinforcement Learning with General Parameterization	Unknown	PDF	N/A
Improved Regret for Bandit Convex Optimization with Delayed Feedback	Unknown	PDF	N/A
GRANOLA: Adaptive Normalization for Graph Neural Networks	Unknown	PDF	N/A
Learning the Latent Causal Structure for Modeling Label Noise	Unknown	PDF	N/A
Multimodal Large Language Models Make Text-to-Image Generative Models Align Better	Unknown	PDF	N/A
SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization	Unknown	PDF	N/A
Streaming Bayes GFlowNets	Unknown	PDF	N/A
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity	Unknown	PDF	N/A
GIC: Gaussian-Informed Continuum for Physical Property Identification and Simulation	Unknown	PDF	N/A
Breaking Semantic Artifacts for Generalized AI-generated Image Detection	Unknown	PDF	N/A
Text-Infused Attention and Foreground-Aware Modeling for Zero-Shot Temporal Action Detection	Unknown	PDF	N/A
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds	Unknown	PDF	N/A
Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios	Unknown	PDF	N/A
Cascade of phase transitions in the training of energy-based models	Unknown	PDF	N/A
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning	Unknown	PDF	N/A
An Improved Empirical Fisher Approximation for Natural Gradient Descent	Unknown	PDF	N/A
SelfCodeAlign: Self-Alignment for Code Generation	Unknown	PDF	N/A
ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation	Unknown	PDF	N/A
Certified Machine Unlearning via Noisy Stochastic Gradient Descent	Unknown	PDF	N/A
A Concept-Based Explainability Framework for Large Multimodal Models	Unknown	PDF	N/A
Distributional Reinforcement Learning with Regularized Wasserstein Loss	Unknown	PDF	N/A
Fair Online Bilateral Trade	Unknown	PDF	N/A
Pseudo-Private Data Guided Model Inversion Attacks	Unknown	PDF	N/A
Binary Search with Distributional Predictions	Unknown	PDF	N/A
Towards Explainable Evaluation Metrics for Machine Translation	Unknown	PDF	N/A
Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding	Unknown	PDF	N/A
$\textit{NeuroPath}$: A Neural Pathway Transformer for Joining the Dots of Human Connectomes	Unknown	PDF	N/A
QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs	Unknown	PDF	N/A
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning	Unknown	PDF	N/A
Identify Then Recommend: Towards Unsupervised Group Recommendation	Unknown	PDF	N/A
Empowering Visible-Infrared Person Re-Identification with Large Foundation Models	Unknown	PDF	N/A
Community Detection Guarantees using Embeddings Learned by Node2Vec	Unknown	PDF	N/A
Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.	Unknown	PDF	N/A
Conditional Density Estimation with Histogram Trees	Unknown	PDF	N/A
Rethinking LLM Memorization through the Lens of Adversarial Compression	Unknown	PDF	N/A
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits	Unknown	PDF	N/A
Unveiling LoRA Intrinsic Ranks via Salience Analysis	Unknown	PDF	N/A
Annealed Multiple Choice Learning: Overcoming limitations of Winner-takes-all with annealing	Unknown	PDF	N/A
LLMDFA: Analyzing Dataflow in Code with Large Language Models	Unknown	PDF	N/A
Oracle-Efficient Differentially Private Learning with Public Data	Unknown	PDF	N/A
On the Use of Anchoring for Training Vision Models	Unknown	PDF	N/A
Probing Social Bias in Labor Market Text Generation by ChatGPT: A Masked Language Model Approach	Unknown	PDF	N/A
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding	Unknown	PDF	N/A
Unified Speech Recognition: A Single Model for Auditory, Visual, and Audiovisual Inputs	Unknown	PDF	N/A
Fisher Flow Matching for Generative Modeling over Discrete Data	Unknown	PDF	N/A
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently	Unknown	PDF	N/A
Omnigrasp: Grasping Diverse Objects with Simulated Humanoids	Unknown	PDF	N/A
Accelerating Augmentation Invariance Pretraining	Unknown	PDF	N/A
Training Data Attribution via Approximate Unrolling	Unknown	PDF	N/A
Transformers Can Do Arithmetic with the Right Embeddings	Unknown	PDF	N/A
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving	Unknown	PDF	N/A
Exploring Consistency in Graph Representations: from Graph Kernels to Graph Neural Networks	Unknown	PDF	N/A
Beyond Accuracy: Ensuring Correct Predictions With Correct Rationales	Unknown	PDF	N/A
ChatQA: Surpassing GPT-4 on Conversational QA and RAG	Unknown	PDF	N/A
Not so griddy: Internal representations of RNNs path integrating more than one agent	Unknown	PDF	N/A
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression	Unknown	PDF	N/A
Instance-Specific Asymmetric Sensitivity in Differential Privacy	Unknown	PDF	N/A
Approximation Rate of the Transformer Architecture for Sequence Modeling	Unknown	PDF	N/A
In-Context Learning with Representations: Contextual Generalization of Trained Transformers	Unknown	PDF	N/A
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum	Unknown	PDF	N/A
Towards Exact Gradient-based Training on Analog In-memory Computing	Unknown	PDF	N/A
Identifiability Analysis of Linear ODE Systems with Hidden Confounders	Unknown	PDF	N/A
AHA: Human-Assisted Out-of-Distribution Generalization and Detection	Unknown	PDF	N/A
Linear Causal Representation Learning from Unknown Multi-node Interventions	Unknown	PDF	N/A
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks	Unknown	PDF	N/A
Reconstructing the Image Stitching Pipeline: Integrating Fusion and Rectangling into a Unified Inpainting Model	Unknown	PDF	N/A
Fair Kernel K-Means: from Single Kernel to Multiple Kernel	Unknown	PDF	N/A
An Autoencoder-Like Nonnegative Matrix Co-Factorization for Improved Student Cognitive Modeling	Unknown	PDF	N/A
Active Perception for Grasp Detection via Neural Graspness Field	Unknown	PDF	N/A
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language Models	Unknown	PDF	N/A
Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences	Unknown	PDF	N/A
Adaptive Visual Scene Understanding: Incremental Scene Graph Generation	Unknown	PDF	N/A
DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting	Unknown	PDF	N/A
Robust Offline Active Learning on Graphs	Unknown	PDF	N/A
Local Curvature Smoothing with Stein's Identity for Efficient Score Matching	Unknown	PDF	N/A
Unveiling Encoder-Free Vision-Language Models	Unknown	PDF	N/A
SlimGPT: Layer-wise Structured Pruning for Large Language Models	Unknown	PDF	N/A
Decoding-Time Language Model Alignment with Multiple Objectives	Unknown	PDF	N/A
Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs	Unknown	PDF	N/A
Make Your LLM Fully Utilize the Context	Unknown	PDF	N/A
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation	Unknown	PDF	N/A
Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed	Unknown	PDF	N/A
Faster Local Solvers for Graph Diffusion Equations	Unknown	PDF	N/A
Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance	Unknown	PDF	N/A
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization	Unknown	PDF	N/A
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series	Unknown	PDF	N/A
StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving	Unknown	PDF	N/A
MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs	Unknown	PDF	N/A
MKGL: Mastery of a Three-Word Language	Unknown	PDF	N/A
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective	Unknown	PDF	N/A
Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation	Unknown	PDF	N/A
OneRef: Unified One-tower Expression Grounding and Segmentation with Mask Referring Modeling	Unknown	PDF	N/A
GenRec: Unifying Video Generation and Recognition with Diffusion Models	Unknown	PDF	N/A
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding	Unknown	PDF	N/A
Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels	Unknown	PDF	N/A
SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow	Unknown	PDF	N/A
Uniform Last-Iterate Guarantee for Bandits and Reinforcement Learning	Unknown	PDF	N/A
B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data	Unknown	PDF	N/A
SAND: Smooth imputation of sparse and noisy functional data with Transformer networks	Unknown	PDF	N/A
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective	Unknown	PDF	N/A
GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes	Unknown	PDF	N/A
ContactField: Implicit Field Representation for Multi-Person Interaction Geometry	Unknown	PDF	N/A
Adaptive Domain Learning for Cross-domain Image Denoising	Unknown	PDF	N/A
DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation	Unknown	PDF	N/A
Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective	Unknown	PDF	N/A
Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks	Unknown	PDF	N/A
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models	Unknown	PDF	N/A
Physics-Constrained Comprehensive Optical Neural Networks	Unknown	PDF	N/A
Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors	Unknown	PDF	N/A
Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance	Unknown	PDF	N/A
Can Simple Averaging Defeat Modern Watermarks?	Unknown	PDF	N/A
LaSe-E2V: Towards Language-guided Semantic-aware Event-to-Video Reconstruction	Unknown	PDF	N/A
AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation	Unknown	PDF	N/A
On Sampling Strategies for Spectral Model Sharding	Unknown	PDF	N/A
Aligning Individual and Collective Objectives in Multi-Agent Cooperation	Unknown	PDF	N/A
PaDeLLM-NER: Parallel Decoding in Large Language Models for Named Entity Recognition	Unknown	PDF	N/A
One-Step Diffusion Distillation through Score Implicit Matching	Unknown	PDF	N/A
Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds	Unknown	PDF	N/A
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model	Unknown	PDF	N/A
Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust	Unknown	PDF	N/A
Memory-Efficient LLM Training with Online Subspace Descent	Unknown	PDF	N/A
Transformers are Minimax Optimal Nonparametric In-Context Learners	Unknown	PDF	N/A
MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search	Unknown	PDF	N/A
ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate	Unknown	PDF	N/A
The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions	Unknown	PDF	N/A
Measuring Goal-Directedness	Unknown	PDF	N/A
Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers	Unknown	PDF	N/A
Predicting Future Actions of Reinforcement Learning Agents	Unknown	PDF	N/A
Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents	Unknown	PDF	N/A
Suitable is the Best: Task-Oriented Knowledge Fusion in Vulnerability Detection	Unknown	PDF	N/A
Towards Neuron Attributions in Multi-Modal Large Language Models	Unknown	PDF	N/A
Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions	Unknown	PDF	N/A
Stochastic Newton Proximal Extragradient Method	Unknown	PDF	N/A
Neural Concept Binder	Unknown	PDF	N/A
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching	Unknown	PDF	N/A
Parallel Backpropagation for Shared-Feature Visualization	Unknown	PDF	N/A
Designs for Enabling Collaboration in Human-Machine Teaming via Interactive and Explainable Systems	Unknown	PDF	N/A
The Secretary Problem with Predicted Additive Gap	Unknown	PDF	N/A
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models	Unknown	PDF	N/A
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks	Unknown	PDF	N/A
Discrete Modeling via Boundary Conditional Diffusion Processes	Unknown	PDF	N/A
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch	Unknown	PDF	N/A
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs	Unknown	PDF	N/A
Latent Neural Operator for Solving Forward and Inverse PDE Problems	Unknown	PDF	N/A
Mechanism design augmented with output advice	Unknown	PDF	N/A
HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links	Unknown	PDF	N/A
Thinking Forward: Memory-Efficient Federated Finetuning of Language Models	Unknown	PDF	N/A
Towards Editing Time Series	Unknown	PDF	N/A
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures	Unknown	PDF	N/A
Reproducibility Study: Equal Improvability: A New Fairness Notion Considering the Long-Term Impact	Unknown	PDF	N/A
Language Without Borders: A Dataset and Benchmark for Code-Switching Lip Reading	Unknown	PDF	N/A
The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms	Unknown	PDF	N/A
Smoothed Online Classification can be Harder than Batch Classification	Unknown	PDF	N/A
AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making	Unknown	PDF	N/A
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model	Unknown	PDF	N/A
APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments	Unknown	PDF	N/A
[Re] CUDA: Curriculum of Data Augmentation for Long‐tailed Recognition	Unknown	PDF	N/A
Better by default: Strong pre-tuned MLPs and boosted trees on tabular data	Unknown	PDF	N/A
Learning Action and Reasoning-Centric Image Editing from Videos and Simulation	Unknown	PDF	N/A
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation	Unknown	PDF	N/A
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation	Unknown	PDF	N/A
Scaling Sign Language Translation	Unknown	PDF	N/A
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering	Unknown	PDF	N/A
UDON: Universal Dynamic Online distillatioN for generic image representations	Unknown	PDF	N/A
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features	Unknown	PDF	N/A
EGSST: Event-based Graph Spatiotemporal Sensitive Transformer for Object Detection	Unknown	PDF	N/A
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models	Unknown	PDF	N/A
MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks	Unknown	PDF	N/A
Multi-LLM Debate: Framework, Principals, and Interventions	Unknown	PDF	N/A
Adaptive Sampling for Efficient Softmax Approximation	Unknown	PDF	N/A
MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models	Unknown	PDF	N/A
NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation	Unknown	PDF	N/A
Demystify Mamba in Vision: A Linear Attention Perspective	Unknown	PDF	N/A
Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation	Unknown	PDF	N/A
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling	Unknown	PDF	N/A
SciCode: A Research Coding Benchmark Curated by Scientists	Unknown	PDF	N/A
Dissecting the Interplay of Attention Paths in a Statistical Mechanics Theory of Transformers	Unknown	PDF	N/A
A Simple Image Segmentation Framework via In-Context Examples	Unknown	PDF	N/A
DOFEN: Deep Oblivious Forest ENsemble	Unknown	PDF	N/A
Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)	Unknown	PDF	N/A
Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning	Unknown	PDF	N/A
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable	Unknown	PDF	N/A
Proving Olympiad Algebraic Inequalities without Human Demonstrations	Unknown	PDF	N/A
On the Inductive Bias of Stacking Towards Improving Reasoning	Unknown	PDF	N/A
Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making	Unknown	PDF	N/A
Data Acquisition via Experimental Design for Data Markets	Unknown	PDF	N/A
QKFormer: Hierarchical Spiking Transformer using Q-K Attention	Unknown	PDF	N/A
CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns	Unknown	PDF	N/A
DisCEdit: Model Editing by Identifying Discriminative Components	Unknown	PDF	N/A
A Continuous-time Stochastic Gradient Descent Method for Continuous Data	Unknown	PDF	N/A
Statistical Inference for Fairness Auditing	Unknown	PDF	N/A
Spectral Adapter: Fine-Tuning in Spectral Space	Unknown	PDF	N/A
Derandomizing Multi-Distribution Learning	Unknown	PDF	N/A
RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar	Unknown	PDF	N/A
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering	Unknown	PDF	N/A
Unifying Homophily and Heterophily for Spectral Graph Neural Networks via Triple Filter Ensembles	Unknown	PDF	N/A
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer	Unknown	PDF	N/A
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health	Unknown	PDF	N/A
An Adaptive Approach for Infinitely Many-armed Bandits under Generalized Rotting Constraints	Unknown	PDF	N/A
Time-Reversal Provides Unsupervised Feedback to LLMs	Unknown	PDF	N/A
Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning	Unknown	PDF	N/A
Where Do Large Learning Rates Lead Us?	Unknown	PDF	N/A
Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals	Unknown	PDF	N/A
Distributed Sparse Regression via Penalization	Unknown	PDF	N/A
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds	Unknown	PDF	N/A
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees	Unknown	PDF	N/A
Optimal Clustering with Bandit Feedback	Unknown	PDF	N/A
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported	Unknown	PDF	N/A
Towards Global Optimal Visual In-Context Learning Prompt Selection	Unknown	PDF	N/A
Unified Generative and Discriminative Training for Multi-modal Large Language Models	Unknown	PDF	N/A
CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition	Unknown	PDF	N/A
SfPUEL: Shape from Polarization under Unknown Environment Light	Unknown	PDF	N/A
LG-VQ: Language-Guided Codebook Learning	Unknown	PDF	N/A
OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step	Unknown	PDF	N/A
Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective	Unknown	PDF	N/A
RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance	Unknown	PDF	N/A
SegVol: Universal and Interactive Volumetric Medical Image Segmentation	Unknown	PDF	N/A
Separate and Reconstruct: Asymmetric Encoder-Decoder for Speech Separation	Unknown	PDF	N/A
Value Imprint: A Technique for Auditing the Human Values Embedded in RLHF Datasets	Unknown	PDF	N/A
Procedure-Aware Surgical Video-language Pretraining with Hierarchical Knowledge Augmentation	Unknown	PDF	N/A
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation	Unknown	PDF	N/A
BertaQA: How Much Do Language Models Know About Local Culture?	Unknown	PDF	N/A
Selective Explanations	Unknown	PDF	N/A
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection	Unknown	PDF	N/A
Reinforcement Learning with Lookahead Information	Unknown	PDF	N/A
Focus On What Matters: Separated Models For Visual-Based RL Generalization	Unknown	PDF	N/A
IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation	Unknown	PDF	N/A
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning	Unknown	PDF	N/A
Stochastic Optimal Control and Estimation with Multiplicative and Internal Noise	Unknown	PDF	N/A
Understanding and Improving Training-free Loss-based Diffusion Guidance	Unknown	PDF	N/A
VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models	Unknown	PDF	N/A
GlotCC: An Open Broad-Coverage CommonCrawl Corpus and Pipeline for Minority Languages	Unknown	PDF	N/A
HEMM: Holistic Evaluation of Multimodal Foundation Models	Unknown	PDF	N/A
OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction	Unknown	PDF	N/A
WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games	Unknown	PDF	N/A
MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models	Unknown	PDF	N/A
IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs	Unknown	PDF	N/A
UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training	Unknown	PDF	N/A
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation	Unknown	PDF	N/A
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty	Unknown	PDF	N/A
Building Timeseries Dataset: Empowering Large-Scale Building Analytics	Unknown	PDF	N/A
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models	Unknown	PDF	N/A
A Hitchhiker's Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning	Unknown	PDF	N/A
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding	Unknown	PDF	N/A
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving	Unknown	PDF	N/A
Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation	Unknown	PDF	N/A
ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation	Unknown	PDF	N/A
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models	Unknown	PDF	N/A
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs	Unknown	PDF	N/A
Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire	Unknown	PDF	N/A
GC-Bench: An Open and Unified Benchmark for Graph Condensation	Unknown	PDF	N/A
LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment	Unknown	PDF	N/A
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs	Unknown	PDF	N/A
AFBench: A Large-scale Benchmark for Airfoil Design	Unknown	PDF	N/A
INQUIRE: A Natural World Text-to-Image Retrieval Benchmark	Unknown	PDF	N/A
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs	Unknown	PDF	N/A
FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding	Unknown	PDF	N/A
Streaming Detection of Queried Event Start	Unknown	PDF	N/A
Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment	Unknown	PDF	N/A
A New Multi-Source Light Detection Benchmark and Semi-Supervised Focal Light Detection	Unknown	PDF	N/A
BuckTales: A multi-UAV dataset for multi-object tracking and re-identification of wild antelopes	Unknown	PDF	N/A
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?	Unknown	PDF	N/A
MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations	Unknown	PDF	N/A
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning	Unknown	PDF	N/A
DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model	Unknown	PDF	N/A
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models	Unknown	PDF	N/A
UniMTS: Unified Pre-training for Motion Time Series	Unknown	PDF	N/A
GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks	Unknown	PDF	N/A
SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models	Unknown	PDF	N/A
FindingEmo: An Image Dataset for Emotion Recognition in the Wild	Unknown	PDF	N/A
ComBack: A Versatile Dataset for Enhancing Compiler Backend Development Efficiency	Unknown	PDF	N/A
Is Your HD Map Constructor Reliable under Sensor Corruptions?	Unknown	PDF	N/A
LucidAction: A Hierarchical and Multi-model Dataset for Comprehensive Action Quality Assessment	Unknown	PDF	N/A
$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild	Unknown	PDF	N/A
BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays	Unknown	PDF	N/A
BEACON: Benchmark for Comprehensive RNA Tasks and Language Models	Unknown	PDF	N/A
FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models	Unknown	PDF	N/A
The iNaturalist Sounds Dataset	Unknown	PDF	N/A
A Synthetic Dataset for Personal Attribute Inference	Unknown	PDF	N/A
Learning Superconductivity from Ordered and Disordered Material Structures	Unknown	PDF	N/A
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models	Unknown	PDF	N/A
LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding	Unknown	PDF	N/A
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection	Unknown	PDF	N/A
HourVideo: 1-Hour Video-Language Understanding	Unknown	PDF	N/A
MARPLE: A Benchmark for Long-Horizon Inference	Unknown	PDF	N/A
Scalable Early Childhood Reading Performance Prediction	Unknown	PDF	N/A
Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline	Unknown	PDF	N/A
IncomeSCM: From tabular data set to time-series simulator and causal estimation benchmark	Unknown	PDF	N/A
LAVIB: A Large-scale Video Interpolation Benchmark	Unknown	PDF	N/A
MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs	Unknown	PDF	N/A
DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments	Unknown	PDF	N/A
NeuralPlane: An Efficiently Parallelizable Platform for Fixed-wing Aircraft Control with Reinforcement Learning	Unknown	PDF	N/A
UltraMedical: Building Specialized Generalists in Biomedicine	Unknown	PDF	N/A
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime	Unknown	PDF	N/A
Task Me Anything	Unknown	PDF	N/A
FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models	Unknown	PDF	N/A
Semi-Truths: A Large-Scale Dataset of AI-Augmented Images for Evaluating Robustness of AI-Generated Image detectors	Unknown	PDF	N/A
VastTrack: Vast Category Visual Object Tracking	Unknown	PDF	N/A
GAIA: Rethinking Action Quality Assessment for AI-Generated Videos	Unknown	PDF	N/A
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models	Unknown	PDF	N/A
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences	Unknown	PDF	N/A
Harmony4D: A Video Dataset for In-The-Wild Close Human Interactions	Unknown	PDF	N/A
Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era	Unknown	PDF	N/A
Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning	Unknown	PDF	N/A
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset	Unknown	PDF	N/A
SCRREAM : SCan, Register, REnder And Map: A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark	Unknown	PDF	N/A
Muharaf: Manuscripts of Handwritten Arabic Dataset for Cursive Text Recognition	Unknown	PDF	N/A
IKEA Manuals at Work: 4D Grounding of Assembly Instructions on Internet Videos	Unknown	PDF	N/A
Image Textualization: An Automatic Framework for Generating Rich and Detailed Image Descriptions	Unknown	PDF	N/A
Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset	Unknown	PDF	N/A
The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding	Unknown	PDF	N/A
FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving	Unknown	PDF	N/A
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses	Unknown	PDF	N/A
SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure Interpretation	Unknown	PDF	N/A
EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes	Unknown	PDF	N/A
SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset	Unknown	PDF	N/A
SeafloorAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey	Unknown	PDF	N/A
Multi-modal Situated Reasoning in 3D Scenes	Unknown	PDF	N/A
Benchmarking the Attribution Quality of Vision Models	Unknown	PDF	N/A
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs	Unknown	PDF	N/A
GeoPlant: Spatial Plant Species Prediction Dataset	Unknown	PDF	N/A
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions	Unknown	PDF	N/A
PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision	Unknown	PDF	N/A
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox	Unknown	PDF	N/A
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs	Unknown	PDF	N/A
Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models	Unknown	PDF	N/A
WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark	Unknown	PDF	N/A
NanoBaseLib: A Multi-Task Benchmark Dataset for Nanopore Sequencing	Unknown	PDF	N/A
ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination	Unknown	PDF	N/A
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs	Unknown	PDF	N/A
A Large-Scale Human-Centric Benchmark for Referring Expression Comprehension in the LMM Era	Unknown	PDF	N/A
On the Effects of Data Scale on UI Control Agents	Unknown	PDF	N/A
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning	Unknown	PDF	N/A
GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts	Unknown	PDF	N/A
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities	Unknown	PDF	N/A
EEVR: A Dataset of Paired Physiological Signals and Textual Descriptions for Joint Emotion Representation Learning	Unknown	PDF	N/A
Calibrated Self-Rewarding Vision Language Models	Unknown	PDF	N/A
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models	Unknown	PDF	N/A
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm	Unknown	PDF	N/A
Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation	Unknown	PDF	N/A
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias	Unknown	PDF	N/A
Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge	Unknown	PDF	N/A
Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth	Unknown	PDF	N/A
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking	Unknown	PDF	N/A
NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics	Unknown	PDF	N/A
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI	Unknown	PDF	N/A
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models	Unknown	PDF	N/A
WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks	Unknown	PDF	N/A
GenAI Arena: An Open Evaluation Platform for Generative Models	Unknown	PDF	N/A
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark	Unknown	PDF	N/A
Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation	Unknown	PDF	N/A
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics	Unknown	PDF	N/A
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples	Unknown	PDF	N/A
When LLMs Meet Cunning Texts: A Fallacy Understanding Benchmark for Large Language Models	Unknown	PDF	N/A
Fast and Memory-Efficient Video Diffusion Using Streamlined Inference	Unknown	PDF	N/A
PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action	Unknown	PDF	N/A
Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads	Unknown	PDF	N/A
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets	Unknown	PDF	N/A
CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding	Unknown	PDF	N/A
A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions	Unknown	PDF	N/A
HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation	Unknown	PDF	N/A
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale	Unknown	PDF	N/A
DF40: Toward Next-Generation Deepfake Detection	Unknown	PDF	N/A
SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution	Unknown	PDF	N/A
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation	Unknown	PDF	N/A
WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts	Unknown	PDF	N/A
AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games	Unknown	PDF	N/A
The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data	Unknown	PDF	N/A
VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark	Unknown	PDF	N/A
DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks	Unknown	PDF	N/A
Needle In A Multimodal Haystack	Unknown	PDF	N/A
GTA: A Benchmark for General Tool Agents	Unknown	PDF	N/A
Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations	Unknown	PDF	N/A
Copycats: the many lives of a publicly available medical imaging dataset	Unknown	PDF	N/A
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions	Unknown	PDF	N/A
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction	Unknown	PDF	N/A
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models	Unknown	PDF	N/A
Benchmarking Generative Models on Computational Thinking Tests in Elementary Visual Programming	Unknown	PDF	N/A
BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented text	Unknown	PDF	N/A
A Taxonomy of Challenges to Curating Fair Datasets	Unknown	PDF	N/A
Revisiting Few-Shot Object Detection with Vision-Language Models	Unknown	PDF	N/A
CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities	Unknown	PDF	N/A
PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations	Unknown	PDF	N/A
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios	Unknown	PDF	N/A
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning	Unknown	PDF	N/A
A SARS-CoV-2 Interaction Dataset and VHH Sequence Corpus for Antibody Language Models	Unknown	PDF	N/A
FinBen: A Holistic Financial Benchmark for Large Language Models	Unknown	PDF	N/A
PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling	Unknown	PDF	N/A
Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli	Unknown	PDF	N/A
SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset	Unknown	PDF	N/A
Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models	Unknown	PDF	N/A
A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics	Unknown	PDF	N/A
Einsum Benchmark: Enabling the Development of Next-Generation Tensor Execution Engines	Unknown	PDF	N/A
Lean Workbook: A large-scale Lean problem set formalized from natural language math problems	Unknown	PDF	N/A
ConceptFactory: Facilitate 3D Object Knowledge Annotation with Object Conceptualization	Unknown	PDF	N/A
OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking	Unknown	PDF	N/A
AllClear: A Comprehensive Dataset and Benchmark for Cloud Removal in Satellite Imagery	Unknown	PDF	N/A
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation	Unknown	PDF	N/A
MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding	Unknown	PDF	N/A
Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework	Unknown	PDF	N/A
SHDocs: A dataset, benchmark, and method to efficiently generate high-quality, real-world specular highlight data with near-perfect alignment	Unknown	PDF	N/A
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models	Unknown	PDF	N/A
Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study	Unknown	PDF	N/A
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning	Unknown	PDF	N/A
Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox	Unknown	PDF	N/A
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification	Unknown	PDF	N/A
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning	Unknown	PDF	N/A
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images	Unknown	PDF	N/A
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model	Unknown	PDF	N/A
BIGOS V2 Benchmark for Polish ASR: Curated Datasets and Tools for Reproducible Evaluation	Unknown	PDF	N/A
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting	Unknown	PDF	N/A
ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition	Unknown	PDF	N/A
STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics	Unknown	PDF	N/A
The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models	Unknown	PDF	N/A
CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset	Unknown	PDF	N/A
Is Function Similarity Over-Engineered? Building a Benchmark	Unknown	PDF	N/A
SolarCube: An Integrative Benchmark Dataset Harnessing Satellite and In-situ Observations for Large-scale Solar Energy Forecasting	Unknown	PDF	N/A
MoGenTS: Motion Generation based on Spatial-Temporal Joint Modeling	Unknown	PDF	N/A
USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset	Unknown	PDF	N/A
SubjECTive-QA: Measuring Subjectivity in Earnings Call Transcripts' QA Through Six-Dimensional Feature Analysis	Unknown	PDF	N/A
Implicit Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes	Unknown	PDF	N/A
RelBench: A Benchmark for Deep Learning on Relational Databases	Unknown	PDF	N/A
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets	Unknown	PDF	N/A
emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation	Unknown	PDF	N/A
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive Security	Unknown	PDF	N/A
ReactZyme: A Benchmark for Enzyme-Reaction Prediction	Unknown	PDF	N/A
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity	Unknown	PDF	N/A
MOTIVE: A Drug-Target Interaction Graph For Inductive Link Prediction	Unknown	PDF	N/A
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization	Unknown	PDF	N/A
Benchmark Data Repositories for Better Benchmarking	Unknown	PDF	N/A
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images	Unknown	PDF	N/A
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization	Unknown	PDF	N/A
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?	Unknown	PDF	N/A
Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation	Unknown	PDF	N/A
Evaluating Copyright Takedown Methods for Language Models	Unknown	PDF	N/A
Towards Comprehensive Detection of Chinese Harmful Memes	Unknown	PDF	N/A
Assemblage: Automatic Binary Dataset Construction for Machine Learning	Unknown	PDF	N/A
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking	Unknown	PDF	N/A
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs	Unknown	PDF	N/A
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models	Unknown	PDF	N/A
Re-assembling the past: The RePAIR dataset and benchmark for real world 2D and 3D puzzle solving	Unknown	PDF	N/A
Instruction Embedding: Latent Representations of Instructions Towards Task Identification	Unknown	PDF	N/A
SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery	Unknown	PDF	N/A
SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers	Unknown	PDF	N/A
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights	Unknown	PDF	N/A
ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models	Unknown	PDF	N/A
A Careful Examination of Large Language Model Performance on Grade School Arithmetic	Unknown	PDF	N/A
SUGARCREPE++ Dataset: Vision-Language Model Sensitivity to Semantic and Lexical Alterations	Unknown	PDF	N/A
Vript: A Video Is Worth Thousands of Words	Unknown	PDF	N/A
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography	Unknown	PDF	N/A
AudioMarkBench: Benchmarking Robustness of Audio Watermarking	Unknown	PDF	N/A
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis	Unknown	PDF	N/A
$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset	Unknown	PDF	N/A
ViLCo-Bench: VIdeo Language COntinual learning Benchmark	Unknown	PDF	N/A
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation	Unknown	PDF	N/A
EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations	Unknown	PDF	N/A
ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos	Unknown	PDF	N/A
WildPPG: A Real-World PPG Dataset of Long Continuous Recordings	Unknown	PDF	N/A
Benchmarking LLMs via Uncertainty Quantification	Unknown	PDF	N/A
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX	Unknown	PDF	N/A
OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset	Unknown	PDF	N/A
Are Large Language Models Good Statisticians?	Unknown	PDF	N/A
MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey	Unknown	PDF	N/A
TACT: Advancing Complex Aggregative Reasoning with Information Extraction Tools	Unknown	PDF	N/A
PUZZLES: A Benchmark for Neural Algorithmic Reasoning	Unknown	PDF	N/A
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans	Unknown	PDF	N/A
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs	Unknown	PDF	N/A
$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials	Unknown	PDF	N/A
AMBROSIA: A Benchmark for Parsing Ambiguous Questions into Database Queries	Unknown	PDF	N/A
BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval	Unknown	PDF	N/A
Fit for our purpose, not yours: Benchmark for a low-resource, Indigenous language	Unknown	PDF	N/A
Evaluating Multiview Object Consistency in Humans and Image Models	Unknown	PDF	N/A
Advancing Video Anomaly Detection: A Concise Review and a New Dataset	Unknown	PDF	N/A
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences	Unknown	PDF	N/A
EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries	Unknown	PDF	N/A
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data	Unknown	PDF	N/A
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence	Unknown	PDF	N/A
NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates	Unknown	PDF	N/A
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods	Unknown	PDF	N/A
MathPile: A Billion-Token-Scale Pretraining Corpus for Math	Unknown	PDF	N/A
Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation	Unknown	PDF	N/A
Benchmarking Counterfactual Image Generation	Unknown	PDF	N/A
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making	Unknown	PDF	N/A
WindsorML: High-Fidelity Computational Fluid Dynamics Dataset For Automotive Aerodynamics	Unknown	PDF	N/A
PowerGraph: A power grid benchmark dataset for graph neural networks	Unknown	PDF	N/A
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models	Unknown	PDF	N/A
TAPVid-3D: A Benchmark for Tracking Any Point in 3D	Unknown	PDF	N/A
Newswire: A Large-Scale Structured Database of a Century of Historical News	Unknown	PDF	N/A
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark	Unknown	PDF	N/A
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents	Unknown	PDF	N/A
UniTox: Leveraging LLMs to Curate a Unified Dataset of Drug-Induced Toxicity from FDA Labels	Unknown	PDF	N/A
EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity	Unknown	PDF	N/A
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection	Unknown	PDF	N/A
ProG: A Graph Prompt Learning Benchmark	Unknown	PDF	N/A
$\texttt{dattri}$: A Library for Efficient Data Attribution	Unknown	PDF	N/A
DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release	Unknown	PDF	N/A
3DCoMPaT200: Language Grounded Large-Scale 3D Vision Dataset for Compositional Recognition	Unknown	PDF	N/A
Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models	Unknown	PDF	N/A
OAM-TCD: A globally diverse dataset of high-resolution tree cover maps	Unknown	PDF	N/A
RedCode: Risky Code Execution and Generation Benchmark for Code Agents	Unknown	PDF	N/A
BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity	Unknown	PDF	N/A
What to Say and When to Say it: Live Fitness Coaching as a Testbed for Situated Interaction	Unknown	PDF	N/A
cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers	Unknown	PDF	N/A
RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation	Unknown	PDF	N/A
Data curation via joint example selection further accelerates multimodal learning	Unknown	PDF	N/A
StackEval: Benchmarking LLMs in Coding Assistance	Unknown	PDF	N/A
Kuro Siwo: 33 billion $m^2$ under the water. A global multi-temporal satellite dataset for rapid flood mapping	Unknown	PDF	N/A
ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence	Unknown	PDF	N/A
Enhancing vision-language models for medical imaging: bridging the 3D gap with innovative slice selection	Unknown	PDF	N/A
SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models	Unknown	PDF	N/A
AsEP: Benchmarking Deep Learning Methods for Antibody-specific Epitope Prediction	Unknown	PDF	N/A
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos	Unknown	PDF	N/A
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents	Unknown	PDF	N/A
SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark	Unknown	PDF	N/A
RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content	Unknown	PDF	N/A
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases	Unknown	PDF	N/A
shapiq: Shapley Interactions for Machine Learning	Unknown	PDF	N/A
Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs	Unknown	PDF	N/A
WildGuard: Open One-stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs	Unknown	PDF	N/A
MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs	Unknown	PDF	N/A
ReMI: A Dataset for Reasoning with Multiple Images	Unknown	PDF	N/A
Stronger Than You Think: Benchmarking Weak Supervision on Realistic Tasks	Unknown	PDF	N/A
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis	Unknown	PDF	N/A
CALE: Continuous Arcade Learning Environment	Unknown	PDF	N/A
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification	Unknown	PDF	N/A
PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition	Unknown	PDF	N/A
Consent in Crisis: The Rapid Decline of the AI Data Commons	Unknown	PDF	N/A
Vocal Call Locator Benchmark (VCL) for localizing rodent vocalizations from multi-channel audio	Unknown	PDF	N/A
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation	Unknown	PDF	N/A
Weight decay induces low-rank attention layers	Unknown	PDF	N/A
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark	Unknown	PDF	N/A
ClevrSkills: Compositional Language And Visual Reasoning in Robotics	Unknown	PDF	N/A
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking	Unknown	PDF	N/A
DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents	Unknown	PDF	N/A
RedPajama: an Open Dataset for Training Large Language Models	Unknown	PDF	N/A
CiteME: Can Language Models Accurately Cite Scientific Claims?	Unknown	PDF	N/A
Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.	Unknown	PDF	N/A
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale	Unknown	PDF	N/A
Croissant: A Metadata Format for ML-Ready Datasets	Unknown	PDF	N/A
Evaluating Numerical Reasoning in Text-to-Image Models	Unknown	PDF	N/A
CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM	Unknown	PDF	N/A
Topic-Conversation Relevance (TCR) Dataset and Benchmarks	Unknown	PDF	N/A
HelpSteer 2: Open-source dataset for training top-performing reward models	Unknown	PDF	N/A
Image2Struct: Benchmarking Structure Extraction for Vision-Language Models	Unknown	PDF	N/A
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling	Unknown	PDF	N/A
MassSpecGym: A benchmark for the discovery and identification of molecules	Unknown	PDF	N/A
VHELM: A Holistic Evaluation of Vision Language Models	Unknown	PDF	N/A
The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track	Unknown	PDF	N/A
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioning	Unknown	PDF	N/A
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens	Unknown	PDF	N/A
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion Models	Unknown	PDF	N/A
BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model	Unknown	PDF	N/A
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations	Unknown	PDF	N/A
A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types	Unknown	PDF	N/A
DevBench: A multimodal developmental benchmark for language learning	Unknown	PDF	N/A
InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques	Unknown	PDF	N/A
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers	Unknown	PDF	N/A
DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs	Unknown	PDF	N/A
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise	Unknown	PDF	N/A
Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing	Unknown	PDF	N/A
Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding	Unknown	PDF	N/A
Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence	Unknown	PDF	N/A
MmCows: A Multimodal Dataset for Dairy Cattle Monitoring	Unknown	PDF	N/A
SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words	Unknown	PDF	N/A
Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline	Unknown	PDF	N/A
The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks	Unknown	PDF	N/A
Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets	Unknown	PDF	N/A
WikiDO: A New Benchmark Evaluating Cross-Modal Retrieval for Vision-Language Models	Unknown	PDF	N/A
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography	Unknown	PDF	N/A
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack	Unknown	PDF	N/A
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons	Unknown	PDF	N/A
Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models	Unknown	PDF	N/A
BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages	Unknown	PDF	N/A
ProgressGym: Alignment with a Millennium of Moral Progress	Unknown	PDF	N/A
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?	Unknown	PDF	N/A
TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series	Unknown	PDF	N/A
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack	Unknown	PDF	N/A
$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs	Unknown	PDF	N/A
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification	Unknown	PDF	N/A
FairJob: A Real-World Dataset for Fairness in Online Systems	Unknown	PDF	N/A
Multi-Chain Graphs of Graphs: A New Approach to Analyzing Blockchain Datasets	Unknown	PDF	N/A
CRAG - Comprehensive RAG Benchmark	Unknown	PDF	N/A
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking	Unknown	PDF	N/A
Learning Structure-Aware Representations of Dependent Types	Unknown	PDF	N/A
What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information	Unknown	PDF	N/A
Large Language Model Unlearning via Embedding-Corrupted Prompts	Unknown	PDF	N/A
Attack-Resilient Image Watermarking Using Stable Diffusion	Unknown	PDF	N/A
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning	Unknown	PDF	N/A
Adaptive Passive-Aggressive Framework for Online Regression with Side Information	Unknown	PDF	N/A
Accelerating Nash Equilibrium Convergence in Monte Carlo Settings Through Counterfactual Value Based Fictitious Play	Unknown	PDF	N/A
Transition Constrained Bayesian Optimization via Markov Decision Processes	Unknown	PDF	N/A
Fairness-Aware Meta-Learning via Nash Bargaining	Unknown	PDF	N/A
The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations	Unknown	PDF	N/A
Transcendence: Generative Models Can Outperform The Experts That Train Them	Unknown	PDF	N/A
RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions	Unknown	PDF	N/A
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing	Unknown	PDF	N/A
StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses	Unknown	PDF	N/A
AutoPSV: Automated Process-Supervised Verifier	Unknown	PDF	N/A
Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning	Unknown	PDF	N/A
Frustratingly Easy Test-Time Adaptation of Vision-Language Models	Unknown	PDF	N/A
Who's asking? User personas and the mechanics of latent misalignment	Unknown	PDF	N/A
SpeAr: A Spectral Approach for Zero-Shot Node Classification	Unknown	PDF	N/A
Navigating the Effect of Parametrization for Dimensionality Reduction	Unknown	PDF	N/A
EgoChoir: Capturing 3D Human-Object Interaction Regions from Egocentric Views	Unknown	PDF	N/A
Confidence Calibration of Classifiers with Many Classes	Unknown	PDF	N/A
Image-aware Evaluation of Generated Medical Reports	Unknown	PDF	N/A
CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy	Unknown	PDF	N/A
Nuclear Norm Regularization for Deep Learning	Unknown	PDF	N/A
Adversarial Environment Design via Regret-Guided Diffusion Models	Unknown	PDF	N/A
Multiple Physics Pretraining for Spatiotemporal Surrogate Models	Unknown	PDF	N/A
TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models	Unknown	PDF	N/A
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs	Unknown	PDF	N/A
Infinite Limits of Multi-head Transformer Dynamics	Unknown	PDF	N/A
Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models	Unknown	PDF	N/A
Discovering Preference Optimization Algorithms with and for Large Language Models	Unknown	PDF	N/A
Overcoming Brittleness in Pareto-Optimal Learning Augmented Algorithms	Unknown	PDF	N/A
Neur2BiLO: Neural Bilevel Optimization	Unknown	PDF	N/A
In-Context Symmetries: Self-Supervised Learning through Contextual World Models	Unknown	PDF	N/A
Leveraging Drift to Improve Sample Complexity of Variance Exploding Diffusion Models	Unknown	PDF	N/A
Foundation Inference Models for Markov Jump Processes	Unknown	PDF	N/A
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More	Unknown	PDF	N/A
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection	Unknown	PDF	N/A
A PID Controller Approach for Adaptive Probability-dependent Gradient Decay in Model Calibration	Unknown	PDF	N/A
LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations	Unknown	PDF	N/A
Metric Flow Matching for Smooth Interpolations on the Data Manifold	Unknown	PDF	N/A
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better	Unknown	PDF	N/A
SimVG: A Simple Framework for Visual Grounding with Decoupled Multi-modal Fusion	Unknown	PDF	N/A
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations	Unknown	PDF	N/A
Mesa-Extrapolation: A Weave Position Encoding Method for Enhanced Extrapolation in LLMs	Unknown	PDF	N/A
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding	Unknown	PDF	N/A
Label Noise: Ignorance Is Bliss	Unknown	PDF	N/A
TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks	Unknown	PDF	N/A
Pretrained Optimization Model for Zero-Shot Black Box Optimization	Unknown	PDF	N/A
MatFormer: Nested Transformer for Elastic Inference	Unknown	PDF	N/A
Approximating the Top Eigenvector in Random Order Streams	Unknown	PDF	N/A
Graph Neural Networks Need Cluster-Normalize-Activate Modules	Unknown	PDF	N/A
Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels	Unknown	PDF	N/A
Efficient Leverage Score Sampling for Tensor Train Decomposition	Unknown	PDF	N/A
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset	Unknown	PDF	N/A
Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity	Unknown	PDF	N/A
Localized Adaptive Risk Control	Unknown	PDF	N/A
Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation	Unknown	PDF	N/A
SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation	Unknown	PDF	N/A
Rethinking Imbalance in Image Super-Resolution for Efficient Inference	Unknown	PDF	N/A
ReFT: Representation Finetuning for Language Models	Unknown	PDF	N/A
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection	Unknown	PDF	N/A
Speculative Monte-Carlo Tree Search	Unknown	PDF	N/A
GFlowNet Assisted Biological Sequence Editing	Unknown	PDF	N/A
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization	Unknown	PDF	N/A
CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models	Unknown	PDF	N/A
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis	Unknown	PDF	N/A
An Information Theoretic Perspective on Conformal Prediction	Unknown	PDF	N/A
Improving robustness to corruptions with multiplicative weight perturbations	Unknown	PDF	N/A
Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models	Unknown	PDF	N/A
Optimal Multi-Fidelity Best-Arm Identification	Unknown	PDF	N/A
Panacea: Pareto Alignment via Preference Adaptation for LLMs	Unknown	PDF	N/A
Understanding the Gains from Repeated Self-Distillation	Unknown	PDF	N/A
Grid4D: 4D Decomposed Hash Encoding for High-Fidelity Dynamic Gaussian Splatting	Unknown	PDF	N/A
Wormhole Loss for Partial Shape Matching	Unknown	PDF	N/A
Alias-Free Mamba Neural Operator	Unknown	PDF	N/A
Generalizable and Animatable Gaussian Head Avatar	Unknown	PDF	N/A
Diffeomorphic interpolation for efficient persistence-based topological optimization	Unknown	PDF	N/A
Quasi-Bayes meets Vines	Unknown	PDF	N/A
In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment	Unknown	PDF	N/A
Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity	Unknown	PDF	N/A
Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources	Unknown	PDF	N/A
Metric Space Magnitude for Evaluating the Diversity of Latent Representations	Unknown	PDF	N/A
SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series	Unknown	PDF	N/A
Boosting Vision-Language Models with Transduction	Unknown	PDF	N/A
In-Context Learning State Vector with Inner and Momentum Optimization	Unknown	PDF	N/A
Unveiling the Tapestry of Consistency in Large Vision-Language Models	Unknown	PDF	N/A
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction	Unknown	PDF	N/A
Diversify, Contextualize, and Adapt: Efficient Entropy Modeling for Neural Image Codec	Unknown	PDF	N/A
Image Copy Detection for Diffusion Models	Unknown	PDF	N/A
End-To-End Causal Effect Estimation from Unstructured Natural Language Data	Unknown	PDF	N/A
Weak-eval-Strong: Evaluating and Eliciting Lateral Thinking of LLMs with Situation Puzzles	Unknown	PDF	N/A
Loss Landscape Characterization of Neural Networks without Over-Parametrization	Unknown	PDF	N/A
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts	Unknown	PDF	N/A
Provable Benefits of Complex Parameterizations for Structured State Space Models	Unknown	PDF	N/A
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model	Unknown	PDF	N/A
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD	Unknown	PDF	N/A
PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher	Unknown	PDF	N/A
TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation	Unknown	PDF	N/A
Continuous Partitioning for Graph-Based Semi-Supervised Learning	Unknown	PDF	N/A
YOLOv10: Real-Time End-to-End Object Detection	Unknown	PDF	N/A
Fixed Confidence Best Arm Identification in the Bayesian Setting	Unknown	PDF	N/A
SimGen: Simulator-conditioned Driving Scene Generation	Unknown	PDF	N/A
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling	Unknown	PDF	N/A
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms	Unknown	PDF	N/A
An engine not a camera: Measuring performative power of online search	Unknown	PDF	N/A
Entropy-regularized Diffusion Policy with Q-Ensembles for Offline Reinforcement Learning	Unknown	PDF	N/A
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization	Unknown	PDF	N/A
Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL	Unknown	PDF	N/A
How Does Message Passing Improve Collaborative Filtering?	Unknown	PDF	N/A
DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM	Unknown	PDF	N/A
Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm	Unknown	PDF	N/A
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning	Unknown	PDF	N/A
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery	Unknown	PDF	N/A
Mixture of Experts Meets Prompt-Based Continual Learning	Unknown	PDF	N/A
BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling	Unknown	PDF	N/A
Vision-Language Models are Strong Noisy Label Detectors	Unknown	PDF	N/A
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning	Unknown	PDF	N/A
Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions	Unknown	PDF	N/A
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers	Unknown	PDF	N/A
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models	Unknown	PDF	N/A
Convergence of $\text{log}(1/\epsilon)$ for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis	Unknown	PDF	N/A
RGFN: Synthesizable Molecular Generation Using GFlowNets	Unknown	PDF	N/A
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts	Unknown	PDF	N/A
Set-based Neural Network Encoding Without Weight Tying	Unknown	PDF	N/A
Pre-trained Large Language Models Use Fourier Features to Compute Addition	Unknown	PDF	N/A
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable	Unknown	PDF	N/A
Learning to Predict Structural Vibrations	Unknown	PDF	N/A
Causal language modeling can elicit search and reasoning capabilities on logic puzzles	Unknown	PDF	N/A
Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors	Unknown	PDF	N/A
SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions	Unknown	PDF	N/A
HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation	Unknown	PDF	N/A
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization	Unknown	PDF	N/A
$C^2M^3$: Cycle-Consistent Multi-Model Merging	Unknown	PDF	N/A
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation	Unknown	PDF	N/A
Improved Algorithms for Contextual Dynamic Pricing	Unknown	PDF	N/A
Are Self-Attentions Effective for Time Series Forecasting?	Unknown	PDF	N/A
Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis	Unknown	PDF	N/A
Expectation Alignment: Handling Reward Misspecification in the Presence of Expectation Mismatch	Unknown	PDF	N/A
SubgDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning	Unknown	PDF	N/A
Stochastic Concept Bottleneck Models	Unknown	PDF	N/A
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling	Unknown	PDF	N/A
Theoretical guarantees in KL for Diffusion Flow Matching	Unknown	PDF	N/A
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection	Unknown	PDF	N/A
Variational Distillation of Diffusion Policies into Mixture of Experts	Unknown	PDF	N/A
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?	Unknown	PDF	N/A
COSMIC: Compress Satellite Image Efficiently via Diffusion Compensation	Unknown	PDF	N/A
Reinforcement Learning with LTL and $\omega$-Regular Objectives via Optimality-Preserving Translation to Average Rewards	Unknown	PDF	N/A
Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation	Unknown	PDF	N/A
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD	Unknown	PDF	N/A
MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images	Unknown	PDF	N/A
Multi-Object 3D Grounding with Dynamic Modules and Language-Informed Spatial Attention	Unknown	PDF	N/A
Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming	Unknown	PDF	N/A
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries	Unknown	PDF	N/A
Autoregressive Image Diffusion: Generation of Image Sequence and Application in MRI	Unknown	PDF	N/A
Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model	Unknown	PDF	N/A
Exploring Behavior-Relevant and Disentangled Neural Dynamics with Generative Diffusion Models	Unknown	PDF	N/A
One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently	Unknown	PDF	N/A
Nonstationary Sparse Spectral Permanental Process	Unknown	PDF	N/A
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning	Unknown	PDF	N/A
DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection	Unknown	PDF	N/A
Statistical Multicriteria Benchmarking via the GSD-Front	Unknown	PDF	N/A
Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables	Unknown	PDF	N/A
Small coresets via negative dependence: DPPs, linear statistics, and concentration	Unknown	PDF	N/A
Advection Augmented Convolutional Neural Networks	Unknown	PDF	N/A
Efficient Temporal Action Segmentation via Boundary-aware Query Voting	Unknown	PDF	N/A
Towards Croppable Implicit Neural Representations	Unknown	PDF	N/A
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics	Unknown	PDF	N/A
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation	Unknown	PDF	N/A
Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models	Unknown	PDF	N/A
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation	Unknown	PDF	N/A
Solving Minimum-Cost Reach Avoid using Reinforcement Learning	Unknown	PDF	N/A
Multi-Label Open Set Recognition	Unknown	PDF	N/A
Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation	Unknown	PDF	N/A
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators	Unknown	PDF	N/A
Beyond Optimism: Exploration With Partially Observable Rewards	Unknown	PDF	N/A
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation	Unknown	PDF	N/A
Diffusion-Reward Adversarial Imitation Learning	Unknown	PDF	N/A
Large Language Models Play StarCraft II:Benchmarks and A Chain of Summarization Approach	Unknown	PDF	N/A
On the Robustness of Spectral Algorithms for Semirandom Stochastic Block Models	Unknown	PDF	N/A
An Analysis of Elo Rating Systems via Markov Chains	Unknown	PDF	N/A
Fairness and Efficiency in Online Class Matching	Unknown	PDF	N/A
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization	Unknown	PDF	N/A
Chain of Thoughtlessness? An Analysis of CoT in Planning	Unknown	PDF	N/A
Solving Sparse \& High-Dimensional-Output Regression via Compression	Unknown	PDF	N/A
Dimension-free Private Mean Estimation for Anisotropic Distributions	Unknown	PDF	N/A
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images	Unknown	PDF	N/A
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe	Unknown	PDF	N/A
Multi-Winner Reconfiguration	Unknown	PDF	N/A
Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning	Unknown	PDF	N/A
Operator World Models for Reinforcement Learning	Unknown	PDF	N/A
A generalized neural tangent kernel for surrogate gradient learning	Unknown	PDF	N/A
HydraViT: Stacking Heads for a Scalable ViT	Unknown	PDF	N/A
Normal-GS: 3D Gaussian Splatting with Normal-Involved Rendering	Unknown	PDF	N/A
Group-wise oracle-efficient algorithms for online multi-group learning	Unknown	PDF	N/A
Functional Gradient Flows for Constrained Sampling	Unknown	PDF	N/A
Optimal Flow Matching: Learning Straight Trajectories in Just One Step	Unknown	PDF	N/A
BMRS: Bayesian Model Reduction for Structured Pruning	Unknown	PDF	N/A
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks	Unknown	PDF	N/A
Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values	Unknown	PDF	N/A
LP-3DGS: Learning to Prune 3D Gaussian Splatting	Unknown	PDF	N/A
Diffusion Actor-Critic with Entropy Regulator	Unknown	PDF	N/A
Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint	Unknown	PDF	N/A
Toward Conditional Distribution Calibration in Survival Prediction	Unknown	PDF	N/A
RMLR: Extending Multinomial Logistic Regression into General Geometries	Unknown	PDF	N/A
Replicable Uniformity Testing	Unknown	PDF	N/A
Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices	Unknown	PDF	N/A
Unitary Convolutions for Learning on Graphs and Groups	Unknown	PDF	N/A
Thought of Search: Planning with Language Models Through The Lens of Efficiency	Unknown	PDF	N/A
PaCE: Parsimonious Concept Engineering for Large Language Models	Unknown	PDF	N/A
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition	Unknown	PDF	N/A
Accelerated Regularized Learning in Finite N-Person Games	Unknown	PDF	N/A
From Chaos to Clarity: 3DGS in the Dark	Unknown	PDF	N/A
Full-Distance Evasion of Pedestrian Detectors in the Physical World	Unknown	PDF	N/A
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond	Unknown	PDF	N/A
Deep Learning in Medical Image Registration: Magic or Mirage?	Unknown	PDF	N/A
Cascade Speculative Drafting for Even Faster LLM Inference	Unknown	PDF	N/A
VISA: Variational Inference with Sequential Sample-Average Approximations	Unknown	PDF	N/A
OPEL: Optimal Transport Guided ProcedurE Learning	Unknown	PDF	N/A
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization	Unknown	PDF	N/A
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning	Unknown	PDF	N/A
UniGAD: Unifying Multi-level Graph Anomaly Detection	Unknown	PDF	N/A
Clustering with Non-adaptive Subset Queries	Unknown	PDF	N/A
Compressing Large Language Models using Low Rank and Low Precision Decomposition	Unknown	PDF	N/A
Black-Box Forgetting	Unknown	PDF	N/A
CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts	Unknown	PDF	N/A
Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration	Unknown	PDF	N/A
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation	Unknown	PDF	N/A
EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals	Unknown	PDF	N/A
MotionCraft: Physics-Based Zero-Shot Video Generation	Unknown	PDF	N/A
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound	Unknown	PDF	N/A
Search for Efficient Large Language Models	Unknown	PDF	N/A
Predictive Attractor Models	Unknown	PDF	N/A
Do LLMs Build World Representations? Probing Through the Lens of State Abstraction	Unknown	PDF	N/A
Should We Really Edit Language Models? On the Evaluation of Edited Language Models	Unknown	PDF	N/A
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent	Unknown	PDF	N/A
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure	Unknown	PDF	N/A
Practical Bayesian Algorithm Execution via Posterior Sampling	Unknown	PDF	N/A
Fetch and Forge: Efficient Dataset Condensation for Object Detection	Unknown	PDF	N/A
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation	Unknown	PDF	N/A
Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction	Unknown	PDF	N/A
MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts	Unknown	PDF	N/A
Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA	Unknown	PDF	N/A
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization	Unknown	PDF	N/A
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare	Unknown	PDF	N/A
Quality-Improved and Property-Preserved Polarimetric Imaging via Complementarily Fusing	Unknown	PDF	N/A
A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences	Unknown	PDF	N/A
Improving the Training of Rectified Flows	Unknown	PDF	N/A
DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering	Unknown	PDF	N/A
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?	Unknown	PDF	N/A
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge	Unknown	PDF	N/A
Learning Cooperative Trajectory Representations for Motion Forecasting	Unknown	PDF	N/A
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space	Unknown	PDF	N/A
Semantics and Spatiality of Emergent Communication	Unknown	PDF	N/A
Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems	Unknown	PDF	N/A
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search	Unknown	PDF	N/A
FreeSplat: Generalizable 3D Gaussian Splatting Towards Free View Synthesis of Indoor Scenes	Unknown	PDF	N/A
Learning De-Biased Representations for Remote-Sensing Imagery	Unknown	PDF	N/A
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation	Unknown	PDF	N/A
BLAST: Block-Level Adaptive Structured Matrices for Efficient Deep Neural Network Inference	Unknown	PDF	N/A
Task-oriented Time Series Imputation Evaluation via Generalized Representers	Unknown	PDF	N/A
Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity	Unknown	PDF	N/A
Optimal Design for Human Preference Elicitation	Unknown	PDF	N/A
Recurrent Reinforcement Learning with Memoroids	Unknown	PDF	N/A
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models	Unknown	PDF	N/A
UniTS: A Unified Multi-Task Time Series Model	Unknown	PDF	N/A
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning	Unknown	PDF	N/A
FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding	Unknown	PDF	N/A
TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge	Unknown	PDF	N/A
DiffSF: Diffusion Models for Scene Flow Estimation	Unknown	PDF	N/A
Shared Autonomy with IDA: Interventional Diffusion Assistance	Unknown	PDF	N/A
To Err Like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation	Unknown	PDF	N/A
UGC: Universal Graph Coarsening	Unknown	PDF	N/A
Fight Back Against Jailbreaking via Prompt Adversarial Tuning	Unknown	PDF	N/A
Toward Real Ultra Image Segmentation: Leveraging Surrounding Context to Cultivate General Segmentation Model	Unknown	PDF	N/A
SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions	Unknown	PDF	N/A
Graph Neural Networks Do Not Always Oversmooth	Unknown	PDF	N/A
Gradient-free Decoder Inversion in Latent Diffusion Models	Unknown	PDF	N/A
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models	Unknown	PDF	N/A
HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection	Unknown	PDF	N/A
DistrictNet: Decision-aware learning for geographical districting	Unknown	PDF	N/A
Visual Fourier Prompt Tuning	Unknown	PDF	N/A
NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes	Unknown	PDF	N/A
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression	Unknown	PDF	N/A
Constrained Binary Decision Making	Unknown	PDF	N/A
Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks	Unknown	PDF	N/A
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks	Unknown	PDF	N/A
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction	Unknown	PDF	N/A
If You Want to Be Robust, Be Wary of Initialization	Unknown	PDF	N/A
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing	Unknown	PDF	N/A
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate	Unknown	PDF	N/A
NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design	Unknown	PDF	N/A
Masked Pre-training Enables Universal Zero-shot Denoiser	Unknown	PDF	N/A
Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models	Unknown	PDF	N/A
Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation	Unknown	PDF	N/A
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level	Unknown	PDF	N/A
Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters	Unknown	PDF	N/A
BiDM: Pushing the Limit of Quantization for Diffusion Models	Unknown	PDF	N/A
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions	Unknown	PDF	N/A
Boosting the Potential of Large Language Models with an Intelligent Information Assistant	Unknown	PDF	N/A
Generalization Bounds via Conditional $f$-Information	Unknown	PDF	N/A
Recovering Complete Actions for Cross-dataset Skeleton Action Recognition	Unknown	PDF	N/A
Carrot and Stick: Eliciting Comparison Data and Beyond	Unknown	PDF	N/A
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees	Unknown	PDF	N/A
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness	Unknown	PDF	N/A
CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search	Unknown	PDF	N/A
Efficient Discrepancy Testing for Learning with Distribution Shift	Unknown	PDF	N/A
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality	Unknown	PDF	N/A
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning	Unknown	PDF	N/A
Optimal ablation for interpretability	Unknown	PDF	N/A
Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment	Unknown	PDF	N/A
Compositional 3D-aware Video Generation with LLM Director	Unknown	PDF	N/A
CALANet: Cheap All-Layer Aggregation for Human Activity Recognition	Unknown	PDF	N/A
Exploration by Learning Diverse Skills through Successor State Representations	Unknown	PDF	N/A
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization	Unknown	PDF	N/A
Particle Semi-Implicit Variational Inference	Unknown	PDF	N/A
A Walsh Hadamard Derived Linear Vector Symbolic Architecture	Unknown	PDF	N/A
Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way	Unknown	PDF	N/A
From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement	Unknown	PDF	N/A
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models	Unknown	PDF	N/A
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought	Unknown	PDF	N/A
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning	Unknown	PDF	N/A
Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints	Unknown	PDF	N/A
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs	Unknown	PDF	N/A
Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models	Unknown	PDF	N/A
Deep Submodular Peripteral Networks	Unknown	PDF	N/A
Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration	Unknown	PDF	N/A
Refusal in Language Models Is Mediated by a Single Direction	Unknown	PDF	N/A
Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning	Unknown	PDF	N/A
The Limits of Transfer Reinforcement Learning with Latent Low-rank Structure	Unknown	PDF	N/A
Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning	Unknown	PDF	N/A
Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark	Unknown	PDF	N/A
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?	Unknown	PDF	N/A
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training	Unknown	PDF	N/A
E-Motion: Future Motion Simulation via Event Sequence Diffusion	Unknown	PDF	N/A
ReMoDetect: Reward Models Recognize Aligned LLM's Generations	Unknown	PDF	N/A
Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation	Unknown	PDF	N/A
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms	Unknown	PDF	N/A
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection	Unknown	PDF	N/A
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity	Unknown	PDF	N/A
Wasserstein Distributionally Robust Optimization through the Lens of Structural Causal Models and Individual Fairness	Unknown	PDF	N/A
Algorithmic Capabilities of Random Transformers	Unknown	PDF	N/A
SuperDeepFool: a new fast and accurate minimal adversarial attack	Unknown	PDF	N/A
CAT: Coordinating Anatomical-Textual Prompts for Multi-Organ and Tumor Segmentation	Unknown	PDF	N/A
Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching	Unknown	PDF	N/A
Spectral Editing of Activations for Large Language Model Alignment	Unknown	PDF	N/A
Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers	Unknown	PDF	N/A
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines	Unknown	PDF	N/A
Efficient Combinatorial Optimization via Heat Diffusion	Unknown	PDF	N/A
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process	Unknown	PDF	N/A
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification	Unknown	PDF	N/A
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning	Unknown	PDF	N/A
Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans	Unknown	PDF	N/A
Enhancing LLM’s Cognition via Structurization	Unknown	PDF	N/A
N-agent Ad Hoc Teamwork	Unknown	PDF	N/A
Stealth edits to large language models	Unknown	PDF	N/A
Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates	Unknown	PDF	N/A
Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework	Unknown	PDF	N/A
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets	Unknown	PDF	N/A
Differentially Private Equivalence Testing for Continuous Distributions and Applications	Unknown	PDF	N/A
HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning	Unknown	PDF	N/A
Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit	Unknown	PDF	N/A
Persistence Homology Distillation for Semi-supervised Continual Learning	Unknown	PDF	N/A
Recognize Any Regions	Unknown	PDF	N/A
4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities	Unknown	PDF	N/A
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning	Unknown	PDF	N/A
Geodesic Optimization for Predictive Shift Adaptation on EEG data	Unknown	PDF	N/A
Expert-level protocol translation for self-driving labs	Unknown	PDF	N/A
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense	Unknown	PDF	N/A
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling	Unknown	PDF	N/A
The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains	Unknown	PDF	N/A
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach	Unknown	PDF	N/A
IODA: Instance-Guided One-shot Domain Adaptation for Super-Resolution	Unknown	PDF	N/A
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution	Unknown	PDF	N/A
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models	Unknown	PDF	N/A
Symmetry Discovery Beyond Affine Transformations	Unknown	PDF	N/A
Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting	Unknown	PDF	N/A
Bridging OOD Detection and Generalization: A Graph-Theoretic View	Unknown	PDF	N/A
How Control Information Influences Multilingual Text Image Generation and Editing?	Unknown	PDF	N/A
From Causal to Concept-Based Representation Learning	Unknown	PDF	N/A
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model	Unknown	PDF	N/A
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction	Unknown	PDF	N/A
Neural Persistence Dynamics	Unknown	PDF	N/A
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models	Unknown	PDF	N/A
Learning Successor Features the Simple Way	Unknown	PDF	N/A
Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval	Unknown	PDF	N/A
No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices	Unknown	PDF	N/A
Debiasing Synthetic Data Generated by Deep Generative Models	Unknown	PDF	N/A
Activating Self-Attention for Multi-Scene Absolute Pose Regression	Unknown	PDF	N/A
Interaction-Force Transport Gradient Flows	Unknown	PDF	N/A
Learning from Highly Sparse Spatio-temporal Data	Unknown	PDF	N/A
Multi-turn Reinforcement Learning with Preference Human Feedback	Unknown	PDF	N/A
Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor	Unknown	PDF	N/A
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability	Unknown	PDF	N/A
DeBaRA: Denoising-Based 3D Room Arrangement Generation	Unknown	PDF	N/A
Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context	Unknown	PDF	N/A
MIDGArD: Modular Interpretable Diffusion over Graphs for Articulated Designs	Unknown	PDF	N/A
Distributed Least Squares in Small Space via Sketching and Bias Reduction	Unknown	PDF	N/A
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator	Unknown	PDF	N/A
FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors	Unknown	PDF	N/A
APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets	Unknown	PDF	N/A
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting	Unknown	PDF	N/A
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models	Unknown	PDF	N/A
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback	Unknown	PDF	N/A
Symbolic Regression with a Learned Concept Library	Unknown	PDF	N/A
Generative Modelling of Structurally Constrained Graphs	Unknown	PDF	N/A
Conformalized Credal Set Predictors	Unknown	PDF	N/A
A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization	Unknown	PDF	N/A
Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning	Unknown	PDF	N/A
Order-Independence Without Fine Tuning	Unknown	PDF	N/A
Expressive Gaussian Human Avatars from Monocular RGB Video	Unknown	PDF	N/A
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation	Unknown	PDF	N/A
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations	Unknown	PDF	N/A
Learning Versatile Skills with Curriculum Masking	Unknown	PDF	N/A
TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes	Unknown	PDF	N/A
A probability contrastive learning framework for 3D molecular representation learning	Unknown	PDF	N/A
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification	Unknown	PDF	N/A
Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences	Unknown	PDF	N/A
Achieving Constant Regret in Linear Markov Decision Processes	Unknown	PDF	N/A
MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins	Unknown	PDF	N/A
Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models	Unknown	PDF	N/A
realSEUDO for real-time calcium imaging analysis	Unknown	PDF	N/A
Online Non-convex Learning in Dynamic Environments	Unknown	PDF	N/A
Questioning the Survey Responses of Large Language Models	Unknown	PDF	N/A
GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling	Unknown	PDF	N/A
Differentially Private Set Representations	Unknown	PDF	N/A
Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following	Unknown	PDF	N/A
How do Large Language Models Handle Multilingualism?	Unknown	PDF	N/A
Color-Oriented Redundancy Reduction in Dataset Distillation	Unknown	PDF	N/A
Selective Attention: Enhancing Transformer through Principled Context Control	Unknown	PDF	N/A
Trade-Offs of Diagonal Fisher Information Matrix Estimators	Unknown	PDF	N/A
CONTRAST: Continual Multi-source Adaptation to Dynamic Distributions	Unknown	PDF	N/A
OccFusion: Rendering Occluded Humans with Generative Diffusion Priors	Unknown	PDF	N/A
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance	Unknown	PDF	N/A
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators	Unknown	PDF	N/A
Barely Random Algorithms and Collective Metrical Task Systems	Unknown	PDF	N/A
Bias Amplification in Language Model Evolution: An Iterated Learning Perspective	Unknown	PDF	N/A
SSA-Seg: Semantic and Spatial Adaptive Pixel-level Classifier for Semantic Segmentation	Unknown	PDF	N/A
Even Sparser Graph Transformers	Unknown	PDF	N/A
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models	Unknown	PDF	N/A
Improved Sample Complexity for Multiclass PAC Learning	Unknown	PDF	N/A
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators	Unknown	PDF	N/A
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models	Unknown	PDF	N/A
Changing the Training Data Distribution to Reduce Simplicity Bias Improves In-distribution Generalization	Unknown	PDF	N/A
Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling	Unknown	PDF	N/A
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASR	Unknown	PDF	N/A
Conditioning non-linear and infinite-dimensional diffusion processes	Unknown	PDF	N/A
Long-form factuality in large language models	Unknown	PDF	N/A
Scale Equivariant Graph Metanetworks	Unknown	PDF	N/A
Shape analysis for time series	Unknown	PDF	N/A
Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks	Unknown	PDF	N/A
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs	Unknown	PDF	N/A
SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion	Unknown	PDF	N/A
Breaking the curse of dimensionality in structured density estimation	Unknown	PDF	N/A
Motion Consistency Model: Accelerating Video Diffusion with Disentangled Motion-Appearance Distillation	Unknown	PDF	N/A
An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding	Unknown	PDF	N/A
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting	Unknown	PDF	N/A
BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens	Unknown	PDF	N/A
Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer	Unknown	PDF	N/A
Contrastive dimension reduction: when and how?	Unknown	PDF	N/A
Large Pre-trained time series models for cross-domain Time series analysis tasks	Unknown	PDF	N/A
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning	Unknown	PDF	N/A
Improved Particle Approximation Error for Mean Field Neural Networks	Unknown	PDF	N/A
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance	Unknown	PDF	N/A
SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning	Unknown	PDF	N/A
LLMs Can Evolve Continually on Modality for $\mathbb{X}$-Modal Reasoning	Unknown	PDF	N/A
Deep Homomorphism Networks	Unknown	PDF	N/A
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges	Unknown	PDF	N/A
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift	Unknown	PDF	N/A
Rejection via Learning Density Ratios	Unknown	PDF	N/A
Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting	Unknown	PDF	N/A
Similarity-Navigated Conformal Prediction for Graph Neural Networks	Unknown	PDF	N/A
Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees	Unknown	PDF	N/A
Discrete Flow Matching	Unknown	PDF	N/A
On the Power of Decision Trees in Auto-Regressive Language Modeling	Unknown	PDF	N/A
ReVideo: Remake a Video with Motion and Content Control	Unknown	PDF	N/A
Navigating Chemical Space with Latent Flows	Unknown	PDF	N/A
Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection	Unknown	PDF	N/A
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing	Unknown	PDF	N/A
Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection	Unknown	PDF	N/A
Parameter Competition Balancing for Model Merging	Unknown	PDF	N/A
Gorilla: Large Language Model Connected with Massive APIs	Unknown	PDF	N/A
A Simple yet Universal Framework for Depth Completion	Unknown	PDF	N/A
Learnability of high-dimensional targets by two-parameter models and gradient flow	Unknown	PDF	N/A
Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis	Unknown	PDF	N/A
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference	Unknown	PDF	N/A
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization	Unknown	PDF	N/A
The surprising efficiency of temporal difference learning for rare event prediction	Unknown	PDF	N/A
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification	Unknown	PDF	N/A
Human Expertise in Algorithmic Prediction	Unknown	PDF	N/A
Self-Play Fine-tuning of Diffusion Models for Text-to-image Generation	Unknown	PDF	N/A
Are nuclear masks all you need for improved out-of-domain generalisation? A closer look at cancer classification in histopathology	Unknown	PDF	N/A
Bounds for the smallest eigenvalue of the NTK for arbitrary spherical data of arbitrary dimension	Unknown	PDF	N/A
NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory	Unknown	PDF	N/A
SparseLLM: Towards Global Pruning of Pre-trained Language Models	Unknown	PDF	N/A
Smoothie: Label Free Language Model Routing	Unknown	PDF	N/A
Finding Transformer Circuits With Edge Pruning	Unknown	PDF	N/A
Learning Better Representations From Less Data For Propositional Satisfiability	Unknown	PDF	N/A
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting	Unknown	PDF	N/A
Semidefinite Relaxations of the Gromov-Wasserstein Distance	Unknown	PDF	N/A
Stability and Generalization of Adversarial Training for Shallow Neural Networks with Smooth Activation	Unknown	PDF	N/A
Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control	Unknown	PDF	N/A
ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration	Unknown	PDF	N/A
Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets	Unknown	PDF	N/A
Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families	Unknown	PDF	N/A
Probabilistic Conformal Distillation for Enhancing Missing Modality Robustness	Unknown	PDF	N/A
Model Based Inference of Synaptic Plasticity Rules	Unknown	PDF	N/A
Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning	Unknown	PDF	N/A
Most Influential Subset Selection: Challenges, Promises, and Beyond	Unknown	PDF	N/A
Score Distillation via Reparametrized DDIM	Unknown	PDF	N/A
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer	Unknown	PDF	N/A
FouRA: Fourier Low-Rank Adaptation	Unknown	PDF	N/A
The Fairness-Quality Tradeoff in Clustering	Unknown	PDF	N/A
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference	Unknown	PDF	N/A
AnyFit: Controllable Virtual Try-on for Any Combination of Attire Across Any Scenario	Unknown	PDF	N/A
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making	Unknown	PDF	N/A
Data-Efficient Learning with Neural Programs	Unknown	PDF	N/A
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems	Unknown	PDF	N/A
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer Generation	Unknown	PDF	N/A
Language Model as Visual Explainer	Unknown	PDF	N/A
No Representation, No Trust: Connecting Representation, Collapse, and Trust Issues in PPO	Unknown	PDF	N/A
REBEL: Reinforcement Learning via Regressing Relative Rewards	Unknown	PDF	N/A
Synthesize, Partition, then Adapt: Eliciting Diverse Samples from Foundation Models	Unknown	PDF	N/A
Efficient multi-prompt evaluation of LLMs	Unknown	PDF	N/A
Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations	Unknown	PDF	N/A
Decision-Focused Learning with Directional Gradients	Unknown	PDF	N/A
Graph Diffusion Policy Optimization	Unknown	PDF	N/A
Learning to compute Gröbner bases	Unknown	PDF	N/A
Partial Transportability for Domain Generalization	Unknown	PDF	N/A
Robust Mixture Learning when Outliers Overwhelm Small Groups	Unknown	PDF	N/A
How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers	Unknown	PDF	N/A
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees	Unknown	PDF	N/A
Do Finetti: On Causal Effects for Exchangeable Data	Unknown	PDF	N/A
DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism	Unknown	PDF	N/A
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations	Unknown	PDF	N/A
DiffPO: A causal diffusion model for learning distributions of potential outcomes	Unknown	PDF	N/A
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization	Unknown	PDF	N/A
Aligning LLM Agents by Learning Latent Preference from User Edits	Unknown	PDF	N/A
Provably Efficient Interactive-Grounded Learning with Personalized Reward	Unknown	PDF	N/A
Structured Unrestricted-Rank Matrices for Parameter Efficient Finetuning	Unknown	PDF	N/A
The Prevalence of Neural Collapse in Neural Multivariate Regression	Unknown	PDF	N/A
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization	Unknown	PDF	N/A
GraphTrail: Translating GNN Predictions into Human-Interpretable Logical Rules	Unknown	PDF	N/A
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training	Unknown	PDF	N/A
Slot State Space Models	Unknown	PDF	N/A
Online Consistency of the Nearest Neighbor Rule	Unknown	PDF	N/A
Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving	Unknown	PDF	N/A
Fully Explicit Dynamic Gaussian Splatting	Unknown	PDF	N/A
Interpretable Generalized Additive Models for Datasets with Missing Values	Unknown	PDF	N/A
Continual Learning with Global Alignment	Unknown	PDF	N/A
MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers	Unknown	PDF	N/A
Time-Constrained Robust MDPs	Unknown	PDF	N/A
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces	Unknown	PDF	N/A
Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space	Unknown	PDF	N/A
Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences	Unknown	PDF	N/A
Diffusion Models are Certifiably Robust Classifiers	Unknown	PDF	N/A
Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention	Unknown	PDF	N/A
Causal Imitation for Markov Decision Processes: a Partial Identification Approach	Unknown	PDF	N/A
Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom	Unknown	PDF	N/A
Symmetries in Overparametrized Neural Networks: A Mean Field View	Unknown	PDF	N/A
Identifying Causal Effects Under Functional Dependencies	Unknown	PDF	N/A
MACM: Utilizing a Multi-Agent System for Condition Mining in Solving Complex Mathematical Problems	Unknown	PDF	N/A
Unlocking the Potential of Global Human Expertise	Unknown	PDF	N/A
Adaptive Exploration for Data-Efficient General Value Function Evaluations	Unknown	PDF	N/A
Recursive Introspection: Teaching Language Model Agents How to Self-Improve	Unknown	PDF	N/A
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL	Unknown	PDF	N/A
Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight	Unknown	PDF	N/A
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?	Unknown	PDF	N/A
Bayesian Adaptive Calibration and Optimal Design	Unknown	PDF	N/A
Contrastive losses as generalized models of global epistasis	Unknown	PDF	N/A
Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity	Unknown	PDF	N/A
Consistency of Neural Causal Partial Identification	Unknown	PDF	N/A
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models	Unknown	PDF	N/A
Revisiting Ensembling in One-Shot Federated Learning	Unknown	PDF	N/A
Foundations of Multivariate Distributional Reinforcement Learning	Unknown	PDF	N/A
Generative Fractional Diffusion Models	Unknown	PDF	N/A
Reward Machines for Deep RL in Noisy and Uncertain Environments	Unknown	PDF	N/A
Linear Time Approximation Algorithm for Column Subset Selection with Local Search	Unknown	PDF	N/A
Activation Map Compression through Tensor Decomposition for Deep Learning	Unknown	PDF	N/A
Poisson Variational Autoencoder	Unknown	PDF	N/A
SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model	Unknown	PDF	N/A
Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes	Unknown	PDF	N/A
To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning	Unknown	PDF	N/A
Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration	Unknown	PDF	N/A
Universal Sample Coding	Unknown	PDF	N/A
Watermarking Makes Language Models Radioactive	Unknown	PDF	N/A
MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Views	Unknown	PDF	N/A
Learnability Matters: Active Learning for Video Captioning	Unknown	PDF	N/A
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks	Unknown	PDF	N/A
Self-Guiding Exploration for Combinatorial Problems	Unknown	PDF	N/A
First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs	Unknown	PDF	N/A
Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting	Unknown	PDF	N/A
Testing Calibration in Nearly-Linear Time	Unknown	PDF	N/A
Learning to Discuss Strategically: A Case Study on One Night Ultimate Werewolf	Unknown	PDF	N/A
Learning the Expected Core of Strictly Convex Stochastic Cooperative Games	Unknown	PDF	N/A
ChronoEpilogi: Scalable Time Series Selection with Multiple Solutions	Unknown	PDF	N/A
Learning Goal-Conditioned Representations for Language Reward Models	Unknown	PDF	N/A
Linear Transformers are Versatile In-Context Learners	Unknown	PDF	N/A
Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance	Unknown	PDF	N/A
Are Language Models Actually Useful for Time Series Forecasting?	Unknown	PDF	N/A
Stress-Testing Capability Elicitation With Password-Locked Models	Unknown	PDF	N/A
Cell ontology guided transcriptome foundation model	Unknown	PDF	N/A
Distributionally Robust Performative Prediction	Unknown	PDF	N/A
Optimal Multiclass U-Calibration Error and Beyond	Unknown	PDF	N/A
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations	Unknown	PDF	N/A
The Implicit Bias of Gradient Descent on Separable Multiclass Data	Unknown	PDF	N/A
TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation	Unknown	PDF	N/A
Robust Gaussian Processes via Relevance Pursuit	Unknown	PDF	N/A
Understanding and Minimising Outlier Features in Transformer Training	Unknown	PDF	N/A
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms	Unknown	PDF	N/A
COLD: Causal reasOning in cLosed Daily activities	Unknown	PDF	N/A
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms	Unknown	PDF	N/A
Online Budgeted Matching with General Bids	Unknown	PDF	N/A
Loki: Low-rank Keys for Efficient Sparse Attention	Unknown	PDF	N/A
A Metalearned Neural Circuit for Nonparametric Bayesian Inference	Unknown	PDF	N/A
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters	Unknown	PDF	N/A
Unelicitable Backdoors via Cryptographic Transformer Circuits	Unknown	PDF	N/A
Secret Collusion among AI Agents: Multi-Agent Deception via Steganography	Unknown	PDF	N/A
Computerized Adaptive Testing via Collaborative Ranking	Unknown	PDF	N/A
LESS: Label-Efficient and Single-Stage Referring 3D Segmentation	Unknown	PDF	N/A
Mixture of Nested Experts: Adaptive Processing of Visual Tokens	Unknown	PDF	N/A
Skinned Motion Retargeting with Dense Geometric Interaction Perception	Unknown	PDF	N/A
Handling Learnwares from Heterogeneous Feature Spaces with Explicit Label Exploitation	Unknown	PDF	N/A
Sample Complexity of Interventional Causal Representation Learning	Unknown	PDF	N/A
Learning to Reason Iteratively and Parallelly for Complex Visual Reasoning Scenarios	Unknown	PDF	N/A
Categorical Flow Matching on Statistical Manifolds	Unknown	PDF	N/A
Queueing Matching Bandits with Preference Feedback	Unknown	PDF	N/A
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space	Unknown	PDF	N/A
Zero-to-Hero: Enhancing Zero-Shot Novel View Synthesis via Attention Map Filtering	Unknown	PDF	N/A
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge	Unknown	PDF	N/A
Towards Calibrated Robust Fine-Tuning of Vision-Language Models	Unknown	PDF	N/A
SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout	Unknown	PDF	N/A
DarkSAM: Fooling Segment Anything Model to Segment Nothing	Unknown	PDF	N/A
Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals	Unknown	PDF	N/A
Schrodinger Bridge Flow for Unpaired Data Translation	Unknown	PDF	N/A
SimPO: Simple Preference Optimization with a Reference-Free Reward	Unknown	PDF	N/A
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need	Unknown	PDF	N/A
The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models	Unknown	PDF	N/A
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification	Unknown	PDF	N/A
Learning Diffusion Priors from Observations by Expectation Maximization	Unknown	PDF	N/A
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox	Unknown	PDF	N/A
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)	Unknown	PDF	N/A
On Learning Multi-Modal Forgery Representation for Diffusion Generated Video Detection	Unknown	PDF	N/A
On the Efficiency of ERM in Feature Learning	Unknown	PDF	N/A
Policy Aggregation	Unknown	PDF	N/A
Face2QR: A Unified Framework for Aesthetic, Face-Preserving, and Scannable QR Code Generation	Unknown	PDF	N/A
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking	Unknown	PDF	N/A
Diffusion for World Modeling: Visual Details Matter in Atari	Unknown	PDF	N/A
WeiPer: OOD Detection using Weight Perturbations of Class Projections	Unknown	PDF	N/A
Facilitating Multimodal Classification via Dynamically Learning Modality Gap	Unknown	PDF	N/A
Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration	Unknown	PDF	N/A
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators	Unknown	PDF	N/A
AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking	Unknown	PDF	N/A
CountGD: Multi-Modal Open-World Counting	Unknown	PDF	N/A
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization	Unknown	PDF	N/A
When is an Embedding Model More Promising than Another?	Unknown	PDF	N/A
Reinforcing LLM Agents via Policy Optimization with Action Decomposition	Unknown	PDF	N/A
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems	Unknown	PDF	N/A
Extending Video Masked Autoencoders to 128 frames	Unknown	PDF	N/A
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes	Unknown	PDF	N/A
Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction	Unknown	PDF	N/A
xLSTM: Extended Long Short-Term Memory	Unknown	PDF	N/A
An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning	Unknown	PDF	N/A
Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation	Unknown	PDF	N/A
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits	Unknown	PDF	N/A
Kermut: Composite kernel regression for protein variant effects	Unknown	PDF	N/A
Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation	Unknown	PDF	N/A
$SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation	Unknown	PDF	N/A
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice	Unknown	PDF	N/A
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics	Unknown	PDF	N/A
Accuracy is Not All You Need	Unknown	PDF	N/A
CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise	Unknown	PDF	N/A
SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents	Unknown	PDF	N/A
Exploiting LLM Quantization	Unknown	PDF	N/A
Are Graph Neural Networks Optimal Approximation Algorithms?	Unknown	PDF	N/A
Hierarchical Programmatic Option Framework	Unknown	PDF	N/A
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks	Unknown	PDF	N/A
Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints	Unknown	PDF	N/A
SGD vs GD: Rank Deficiency in Linear Networks	Unknown	PDF	N/A
Physics-Informed Variational State-Space Gaussian Processes	Unknown	PDF	N/A
Coherent 3D Scene Diffusion From a Single RGB Image	Unknown	PDF	N/A
Multi-Agent Domain Calibration with a Handful of Offline Data	Unknown	PDF	N/A
Probabilistic size-and-shape functional mixed models	Unknown	PDF	N/A
Soft Superpixel Neighborhood Attention	Unknown	PDF	N/A
FINALLY: fast and universal speech enhancement with studio-like quality	Unknown	PDF	N/A
Active preference learning for ordering items in- and out-of-sample	Unknown	PDF	N/A
You Don’t Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning	Unknown	PDF	N/A
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors	Unknown	PDF	N/A
Constrained Diffusion Models via Dual Training	Unknown	PDF	N/A
The Many Faces of Optimal Weak-to-Strong Learning	Unknown	PDF	N/A
Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing	Unknown	PDF	N/A
Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models	Unknown	PDF	N/A
HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data	Unknown	PDF	N/A
Harnessing Multiple Correlated Networks for Exact Community Recovery	Unknown	PDF	N/A
HYDRA: Model Factorization Framework for Black-Box LLM Personalization	Unknown	PDF	N/A
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics	Unknown	PDF	N/A
MTGS: A Novel Framework for Multi-Person Temporal Gaze Following and Social Gaze Prediction	Unknown	PDF	N/A
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs	Unknown	PDF	N/A
MetaCURL: Non-stationary Concave Utility Reinforcement Learning	Unknown	PDF	N/A
YouDream: Generating Anatomically Controllable Consistent Text-to-3D Animals	Unknown	PDF	N/A
Amortized Eigendecomposition for Neural Networks	Unknown	PDF	N/A
What do Graph Neural Networks learn? Insights from Tropical Geometry	Unknown	PDF	N/A
Diffusion Twigs with Loop Guidance for Conditional Graph Generation	Unknown	PDF	N/A
Moving Off-the-Grid: Scene-Grounded Video Representations	Unknown	PDF	N/A
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models	Unknown	PDF	N/A
Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models	Unknown	PDF	N/A
Interventional Causal Discovery in a Mixture of DAGs	Unknown	PDF	N/A
Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients	Unknown	PDF	N/A
On the Limitations of Fractal Dimension as a Measure of Generalization	Unknown	PDF	N/A
Memorize What Matters: Emergent Scene Decomposition from Multitraverse	Unknown	PDF	N/A
Unified Covariate Adjustment for Causal Inference	Unknown	PDF	N/A
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation	Unknown	PDF	N/A
Hamba: Single-view 3D Hand Reconstruction with Graph-guided Bi-Scanning Mamba	Unknown	PDF	N/A
Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit	Unknown	PDF	N/A
Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization	Unknown	PDF	N/A
Flexible task abstractions emerge in linear networks with fast and bounded units	Unknown	PDF	N/A
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study	Unknown	PDF	N/A
Efficient Policy Evaluation Across Multiple Different Experimental Datasets	Unknown	PDF	N/A
Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference	Unknown	PDF	N/A
On the Adversarial Robustness of Benjamini Hochberg	Unknown	PDF	N/A
Optimal Parallelization of Boosting	Unknown	PDF	N/A
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization	Unknown	PDF	N/A
Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers	Unknown	PDF	N/A
Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization	Unknown	PDF	N/A
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes	Unknown	PDF	N/A
Graphcode: Learning from multiparameter persistent homology using graph neural networks	Unknown	PDF	N/A
Sample-efficient Bayesian Optimisation Using Known Invariances	Unknown	PDF	N/A
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning	Unknown	PDF	N/A
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning	Unknown	PDF	N/A
Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning	Unknown	PDF	N/A
Improved Regret of Linear Ensemble Sampling	Unknown	PDF	N/A
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series	Unknown	PDF	N/A
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives	Unknown	PDF	N/A
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data	Unknown	PDF	N/A
Validating Climate Models with Spherical Convolutional Wasserstein Distance	Unknown	PDF	N/A
Unifying Generation and Prediction on Graphs with Latent Graph Diffusion	Unknown	PDF	N/A
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning	Unknown	PDF	N/A
Transformers on Markov data: Constant depth suffices	Unknown	PDF	N/A
Simulation-Free Training of Neural ODEs on Paired Data	Unknown	PDF	N/A
PhoCoLens: Photorealistic and Consistent Reconstruction in Lensless Imaging	Unknown	PDF	N/A
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision	Unknown	PDF	N/A
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems	Unknown	PDF	N/A
Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient	Unknown	PDF	N/A
SceneCraft: Layout-Guided 3D Scene Generation	Unknown	PDF	N/A
NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation	Unknown	PDF	N/A
AutoMix: Automatically Mixing Language Models	Unknown	PDF	N/A
MeMo: Meaningful, Modular Controllers via Noise Injection	Unknown	PDF	N/A
BAKU: An Efficient Transformer for Multi-Task Policy Learning	Unknown	PDF	N/A
I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Token	Unknown	PDF	N/A
FasMe: Fast and Sample-efficient Meta Estimator for Precision Matrix Learning in Small Sample Settings	Unknown	PDF	N/A
Plant-and-Steal: Truthful Fair Allocations via Predictions	Unknown	PDF	N/A
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation	Unknown	PDF	N/A
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities	Unknown	PDF	N/A
Elliptical Attention	Unknown	PDF	N/A
Wide Two-Layer Networks can Learn from Adversarial Perturbations	Unknown	PDF	N/A
ZOPP: A Framework of Zero-shot Offboard Panoptic Perception for Autonomous Driving	Unknown	PDF	N/A
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models	Unknown	PDF	N/A
Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time	Unknown	PDF	N/A
SPEAR: Exact Gradient Inversion of Batches in Federated Learning	Unknown	PDF	N/A
Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning	Unknown	PDF	N/A
PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond	Unknown	PDF	N/A
Why Transformers Need Adam: A Hessian Perspective	Unknown	PDF	N/A
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees	Unknown	PDF	N/A
Neural Model Checking	Unknown	PDF	N/A
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents	Unknown	PDF	N/A
Temporal Sentence Grounding with Relevance Feedback in Videos	Unknown	PDF	N/A
Localized Zeroth-Order Prompt Optimization	Unknown	PDF	N/A
UV-free Texture Generation with Denoising and Geodesic Heat Diffusion	Unknown	PDF	N/A
Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication	Unknown	PDF	N/A
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary	Unknown	PDF	N/A
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?	Unknown	PDF	N/A
Learning Transferable Features for Implicit Neural Representations	Unknown	PDF	N/A
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning	Unknown	PDF	N/A
MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI	Unknown	PDF	N/A
Monoculture in Matching Markets	Unknown	PDF	N/A
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design	Unknown	PDF	N/A
TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight	Unknown	PDF	N/A
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness	Unknown	PDF	N/A
BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment	Unknown	PDF	N/A
Euclidean distance compression via deep random features	Unknown	PDF	N/A
Tight Bounds for Learning RUMs from Small Slates	Unknown	PDF	N/A
Abductive Reasoning in Logical Credal Networks	Unknown	PDF	N/A
Jailbreaking Large Language Models Against Moderation Guardrails via Cipher Characters	Unknown	PDF	N/A
On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)	Unknown	PDF	N/A
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment	Unknown	PDF	N/A
Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks	Unknown	PDF	N/A
Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning	Unknown	PDF	N/A
Kraken: Inherently Parallel Transformers For Efficient Multi-Device Inference	Unknown	PDF	N/A
Structured flexibility in recurrent neural networks via neuromodulation	Unknown	PDF	N/A
Scalable DP-SGD: Shuffling vs. Poisson Subsampling	Unknown	PDF	N/A
Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments	Unknown	PDF	N/A
End-to-End Ontology Learning with Large Language Models	Unknown	PDF	N/A
Large Language Models Must Be Taught to Know What They Don’t Know	Unknown	PDF	N/A
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling	Unknown	PDF	N/A
Aligning Diffusion Models by Optimizing Human Utility	Unknown	PDF	N/A
SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models	Unknown	PDF	N/A
Distributional Successor Features Enable Zero-Shot Policy Optimization	Unknown	PDF	N/A
Sample-Efficient Private Learning of Mixtures of Gaussians	Unknown	PDF	N/A
Referring Human Pose and Mask Estimation In the Wild	Unknown	PDF	N/A
Unraveling the Gradient Descent Dynamics of Transformers	Unknown	PDF	N/A
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn	Unknown	PDF	N/A
Simplifying Constraint Inference with Inverse Reinforcement Learning	Unknown	PDF	N/A
GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats	Unknown	PDF	N/A
Rethinking Inverse Reinforcement Learning: from Data Alignment to Task Alignment	Unknown	PDF	N/A
MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting	Unknown	PDF	N/A
Nonparametric Evaluation of Noisy ICA Solutions	Unknown	PDF	N/A
Transfer Learning for Latent Variable Network Models	Unknown	PDF	N/A
On Differentially Private U Statistics	Unknown	PDF	N/A
Your contrastive learning problem is secretly a distribution alignment problem	Unknown	PDF	N/A
DiffuBox: Refining 3D Object Detection with Point Diffusion	Unknown	PDF	N/A
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization	Unknown	PDF	N/A
MILP-StuDio: MILP Instance Generation via Block Structure Decomposition	Unknown	PDF	N/A
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions	Unknown	PDF	N/A
No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation	Unknown	PDF	N/A
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors	Unknown	PDF	N/A
A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations	Unknown	PDF	N/A
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token	Unknown	PDF	N/A
Federated Ensemble-Directed Offline Reinforcement Learning	Unknown	PDF	N/A
OSLO: One-Shot Label-Only Membership Inference Attacks	Unknown	PDF	N/A
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis	Unknown	PDF	N/A
MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps	Unknown	PDF	N/A
X-Ray: A Sequential 3D Representation For Generation	Unknown	PDF	N/A
Learning to Decouple the Lights for 3D Face Texture Modeling	Unknown	PDF	N/A
Learning Group Actions on Latent Representations	Unknown	PDF	N/A
Few-Shot Task Learning through Inverse Generative Modeling	Unknown	PDF	N/A
Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing	Unknown	PDF	N/A
Physically Compatible 3D Object Modeling from a Single Image	Unknown	PDF	N/A
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space	Unknown	PDF	N/A
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers	Unknown	PDF	N/A
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms	Unknown	PDF	N/A
Learning to Cooperate with Humans using Generative Agents	Unknown	PDF	N/A
LLM-Check: Investigating Detection of Hallucinations in Large Language Models	Unknown	PDF	N/A
Constrained Synthesis with Projected Diffusion Models	Unknown	PDF	N/A
Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage	Unknown	PDF	N/A
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge	Unknown	PDF	N/A
Divergences between Language Models and Human Brains	Unknown	PDF	N/A
ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks	Unknown	PDF	N/A
Exploiting Activation Sparsity with Dense to Dynamic-k Mixture-of-Experts Conversion	Unknown	PDF	N/A
Gradient Rewiring for Editable Graph Neural Network Training	Unknown	PDF	N/A
Alignment for Honesty	Unknown	PDF	N/A
Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection	Unknown	PDF	N/A
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures	Unknown	PDF	N/A
$\textit{Read-ME}$: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design	Unknown	PDF	N/A
Optimization Can Learn Johnson Lindenstrauss Embeddings	Unknown	PDF	N/A
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models	Unknown	PDF	N/A
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties	Unknown	PDF	N/A
No Free Delivery Service: Epistemic limits of passive data collection in complex social systems	Unknown	PDF	N/A
Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos	Unknown	PDF	N/A
Retrieval & Fine-Tuning for In-Context Tabular Models	Unknown	PDF	N/A
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale	Unknown	PDF	N/A
CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming	Unknown	PDF	N/A
Disentangled Representation Learning in Non-Markovian Causal Systems	Unknown	PDF	N/A
Capturing the denoising effect of PCA via compression ratio	Unknown	PDF	N/A
Novel Object Synthesis via Adaptive Text-Image Harmony	Unknown	PDF	N/A
Maia-2: A Unified Model for Human-AI Alignment in Chess	Unknown	PDF	N/A
FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training	Unknown	PDF	N/A
Identifying Selections for Unsupervised Subtask Discovery	Unknown	PDF	N/A
SAMPa: Sharpness-aware Minimization Parallelized	Unknown	PDF	N/A
Normalization and effective learning rates in reinforcement learning	Unknown	PDF	N/A
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling	Unknown	PDF	N/A
Scale-invariant Optimal Sampling for Rare-events Data and Sparse Models	Unknown	PDF	N/A
Gradient-Variation Online Learning under Generalized Smoothness	Unknown	PDF	N/A
Off-policy estimation with adaptively collected data: the power of online learning	Unknown	PDF	N/A
TrAct: Making First-layer Pre-Activations Trainable	Unknown	PDF	N/A
Convolutional Differentiable Logic Gate Networks	Unknown	PDF	N/A
PointMamba: A Simple State Space Model for Point Cloud Analysis	Unknown	PDF	N/A
Light Unbalanced Optimal Transport	Unknown	PDF	N/A
Scaling Law for Time Series Forecasting	Unknown	PDF	N/A
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ	Unknown	PDF	N/A
Splatter a Video: Video Gaussian Representation for Versatile Processing	Unknown	PDF	N/A
Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment	Unknown	PDF	N/A
Selective Generation for Controllable Language Models	Unknown	PDF	N/A
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Games	Unknown	PDF	N/A
Adaptive Depth Networks with Skippable Sub-Paths	Unknown	PDF	N/A
Director3D: Real-world Camera Trajectory and 3D Scene Generation from Text	Unknown	PDF	N/A
Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations	Unknown	PDF	N/A
Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality	Unknown	PDF	N/A
Promoting Fairness Among Dynamic Agents in Online-Matching Markets under Known Stationary Arrival Distributions	Unknown	PDF	N/A
Quantum algorithm for large-scale market equilibrium computation	Unknown	PDF	N/A
On conditional diffusion models for PDE simulations	Unknown	PDF	N/A
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation	Unknown	PDF	N/A
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL	Unknown	PDF	N/A
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data	Unknown	PDF	N/A
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization	Unknown	PDF	N/A
GFT: Graph Foundation Model with Transferable Tree Vocabulary	Unknown	PDF	N/A
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors	Unknown	PDF	N/A
Adversarial Moment-Matching Distillation of Large Language Models	Unknown	PDF	N/A
Provable Tempered Overfitting of Minimal Nets and Typical Nets	Unknown	PDF	N/A
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers	Unknown	PDF	N/A
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study	Unknown	PDF	N/A
Non-parametric classification via expand-and-sparsify representation	Unknown	PDF	N/A
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation	Unknown	PDF	N/A
Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure	Unknown	PDF	N/A
Neural collapse vs. low-rank bias: Is deep neural collapse really optimal?	Unknown	PDF	N/A
ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models	Unknown	PDF	N/A
Accelerating Non-Maximum Suppression: A Graph Theory Perspective	Unknown	PDF	N/A
Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions	Unknown	PDF	N/A
Latent Diffusion for Neural Spiking Data	Unknown	PDF	N/A
Private and Personalized Frequency Estimation in a Federated Setting	Unknown	PDF	N/A
Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling	Unknown	PDF	N/A
Confidence Regulation Neurons in Language Models	Unknown	PDF	N/A
Accelerating Matroid Optimization through Fast Imprecise Oracles	Unknown	PDF	N/A
Score-Optimal Diffusion Schedules	Unknown	PDF	N/A
3D Focusing-and-Matching Network for Multi-Instance Point Cloud Registration	Unknown	PDF	N/A
TSDS: Data Selection for Task-Specific Model Finetuning	Unknown	PDF	N/A
Maximizing utility in multi-agent environments by anticipating the behavior of other learners	Unknown	PDF	N/A
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random	Unknown	PDF	N/A
On the Stability and Generalization of Meta-Learning	Unknown	PDF	N/A
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms	Unknown	PDF	N/A
AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases	Unknown	PDF	N/A
Adversarially Robust Multi-task Representation Learning	Unknown	PDF	N/A
Offline Multitask Representation Learning for Reinforcement Learning	Unknown	PDF	N/A
No-Regret Learning for Fair Multi-Agent Social Welfare Optimization	Unknown	PDF	N/A
Risk-Averse Fine-tuning of Large Language Models	Unknown	PDF	N/A
Geometry-aware training of factorized layers in tensor Tucker format	Unknown	PDF	N/A
Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games	Unknown	PDF	N/A
Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation	Unknown	PDF	N/A
A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks	Unknown	PDF	N/A
RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold	Unknown	PDF	N/A
Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded Images	Unknown	PDF	N/A
Uncertainty-aware Fine-tuning of Segmentation Foundation Models	Unknown	PDF	N/A
MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step	Unknown	PDF	N/A
Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning	Unknown	PDF	N/A
TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control	Unknown	PDF	N/A
Continual Learning in the Frequency Domain	Unknown	PDF	N/A
Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control	Unknown	PDF	N/A
GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration	Unknown	PDF	N/A
Metric Transforms and Low Rank Representations of Kernels for Fast Attention	Unknown	PDF	N/A
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity	Unknown	PDF	N/A
Are Multiple Instance Learning Algorithms Learnable for Instances?	Unknown	PDF	N/A
FactorSim: Generative Simulation via Factorized Representation	Unknown	PDF	N/A
Autoregressive Image Generation without Vector Quantization	Unknown	PDF	N/A
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases	Unknown	PDF	N/A
Data Free Backdoor Attacks	Unknown	PDF	N/A
ConStat: Performance-Based Contamination Detection in Large Language Models	Unknown	PDF	N/A
Graph Convolutions Enrich the Self-Attention in Transformers!	Unknown	PDF	N/A
PureGen: Universal Data Purification for Train-Time Poison Defense via Generative Model Dynamics	Unknown	PDF	N/A
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts	Unknown	PDF	N/A
LT-Defense: Searching-free Backdoor Defense via Exploiting the Long-tailed Effect	Unknown	PDF	N/A
A Theoretical Understanding of Self-Correction through In-context Alignment	Unknown	PDF	N/A
Training an Open-Vocabulary Monocular 3D Detection Model without 3D Data	Unknown	PDF	N/A
Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models	Unknown	PDF	N/A
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models	Unknown	PDF	N/A
Proving Theorems Recursively	Unknown	PDF	N/A
No Regrets: Investigating and Improving Regret Approximations for Curriculum Discovery	Unknown	PDF	N/A
Probing the Decision Boundaries of In-context Learning in Large Language Models	Unknown	PDF	N/A
2D-OOB: Attributing Data Contribution Through Joint Valuation Framework	Unknown	PDF	N/A
Provably Safe Neural Network Controllers via Differential Dynamic Logic	Unknown	PDF	N/A
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction	Unknown	PDF	N/A
Unsupervised Discovery of Formulas for Mathematical Constants	Unknown	PDF	N/A
Towards the Dynamics of a DNN Learning Symbolic Interactions	Unknown	PDF	N/A
A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention	Unknown	PDF	N/A
Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework	Unknown	PDF	N/A
Fast Channel Simulation via Error-Correcting Codes	Unknown	PDF	N/A
Alignment at Pre-training! Towards Native Alignment for Arabic LLMs	Unknown	PDF	N/A
Few-Shot Diffusion Models Escape the Curse of Dimensionality	Unknown	PDF	N/A
The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators	Unknown	PDF	N/A
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers	Unknown	PDF	N/A
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases	Unknown	PDF	N/A
DMesh: A Differentiable Mesh Representation	Unknown	PDF	N/A
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training	Unknown	PDF	N/A
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making	Unknown	PDF	N/A
Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem	Unknown	PDF	N/A
bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction	Unknown	PDF	N/A
Compact Proofs of Model Performance via Mechanistic Interpretability	Unknown	PDF	N/A
Continual learning with the neural tangent ensemble	Unknown	PDF	N/A
Do causal predictors generalize better to new domains?	Unknown	PDF	N/A
Revisiting Score Propagation in Graph Out-of-Distribution Detection	Unknown	PDF	N/A
Unrolled denoising networks provably learn to perform optimal Bayesian inference	Unknown	PDF	N/A
DeNetDM: Debiasing by Network Depth Modulation	Unknown	PDF	N/A
Ad Auctions for LLMs via Retrieval Augmented Generation	Unknown	PDF	N/A
Diffusion4D: Fast Spatial-temporal Consistent 4D generation via Video Diffusion Models	Unknown	PDF	N/A
User-Creator Feature Polarization in Recommender Systems with Dual Influence	Unknown	PDF	N/A
Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation	Unknown	PDF	N/A
KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts	Unknown	PDF	N/A
High-Resolution Image Harmonization with Adaptive-Interval Color Transformation	Unknown	PDF	N/A
Generating Origin-Destination Matrices in Neural Spatial Interaction Models	Unknown	PDF	N/A
Contextual Active Model Selection	Unknown	PDF	N/A
On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function	Unknown	PDF	N/A
FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning	Unknown	PDF	N/A
InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint	Unknown	PDF	N/A
QGFN: Controllable Greediness with Action Values	Unknown	PDF	N/A
Learning Structured Representations with Hyperbolic Embeddings	Unknown	PDF	N/A
Cost-aware Bayesian Optimization via the Pandora's Box Gittins Index	Unknown	PDF	N/A
Generalization Analysis for Label-Specific Representation Learning	Unknown	PDF	N/A
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations	Unknown	PDF	N/A
Probabilistic Graph Rewiring via Virtual Nodes	Unknown	PDF	N/A
A Bayesian Approach to Data Point Selection	Unknown	PDF	N/A
Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training	Unknown	PDF	N/A
Slight Corruption in Pre-training Data Makes Better Diffusion Models	Unknown	PDF	N/A
Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?	Unknown	PDF	N/A
Enhancing Large Vision Language Models with Self-Training on Image Comprehension	Unknown	PDF	N/A
A scalable generative model for dynamical system reconstruction from neuroimaging data	Unknown	PDF	N/A
UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior	Unknown	PDF	N/A
AdjointDEIS: Efficient Gradients for Diffusion Models	Unknown	PDF	N/A
MonkeySee: Space-time-resolved reconstructions of natural images from macaque multi-unit activity	Unknown	PDF	N/A
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data	Unknown	PDF	N/A
Understanding Transformers via N-Gram Statistics	Unknown	PDF	N/A
BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO	Unknown	PDF	N/A
Truth is Universal: Robust Detection of Lies in LLMs	Unknown	PDF	N/A
How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad	Unknown	PDF	N/A
A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding	Unknown	PDF	N/A
Analysing the Generalisation and Reliability of Steering Vectors	Unknown	PDF	N/A
Trajectory Diffusion for ObjectGoal Navigation	Unknown	PDF	N/A
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk	Unknown	PDF	N/A
Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?	Unknown	PDF	N/A
Mixture of Tokens: Continuous MoE through Cross-Example Aggregation	Unknown	PDF	N/A
Parametric model reduction of mean-field and stochastic systems via higher-order action matching	Unknown	PDF	N/A
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective	Unknown	PDF	N/A
Induced Model Matching: Restricted Models Help Train Full-Featured Models	Unknown	PDF	N/A
Fast Best-of-N Decoding via Speculative Rejection	Unknown	PDF	N/A
Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance	Unknown	PDF	N/A
CultureLLM: Incorporating Cultural Differences into Large Language Models	Unknown	PDF	N/A
CulturePark: Boosting Cross-cultural Understanding in Large Language Models	Unknown	PDF	N/A
No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests	Unknown	PDF	N/A
Multi-Object Hallucination in Vision Language Models	Unknown	PDF	N/A
Bridge the Points: Graph-based Few-shot Segment Anything Semantically	Unknown	PDF	N/A
Learning from Snapshots of Discrete and Continuous Data Streams	Unknown	PDF	N/A
Structure Consistent Gaussian Splatting with Matching Prior for Few-shot Novel View Synthesis	Unknown	PDF	N/A
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems	Unknown	PDF	N/A
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning	Unknown	PDF	N/A
Polyhedral Complex Derivation from Piecewise Trilinear Networks	Unknown	PDF	N/A
The Road Less Scheduled	Unknown	PDF	N/A
Directional Smoothness and Gradient Methods: Convergence and Adaptivity	Unknown	PDF	N/A
Learning to be Smooth: An End-to-End Differentiable Particle Smoother	Unknown	PDF	N/A
Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis	Unknown	PDF	N/A
CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference	Unknown	PDF	N/A
Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification	Unknown	PDF	N/A
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input	Unknown	PDF	N/A
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search	Unknown	PDF	N/A
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier	Unknown	PDF	N/A
A Polar coordinate system represents syntax in large language models	Unknown	PDF	N/A
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction	Unknown	PDF	N/A
DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation	Unknown	PDF	N/A
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems	Unknown	PDF	N/A
Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model	Unknown	PDF	N/A
L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer	Unknown	PDF	N/A
Motif-oriented influence maximization for viral marketing in large-scale social networks	Unknown	PDF	N/A
Out-Of-Distribution Detection with Diversification (Provably)	Unknown	PDF	N/A
FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision	Unknown	PDF	N/A
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning	Unknown	PDF	N/A
An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations	Unknown	PDF	N/A
SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection	Unknown	PDF	N/A
SongCreator: Lyrics-based Universal Song Generation	Unknown	PDF	N/A
Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling	Unknown	PDF	N/A
The Star Geometry of Critic-Based Regularizer Learning	Unknown	PDF	N/A
A Recipe for Charge Density Prediction	Unknown	PDF	N/A
Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation	Unknown	PDF	N/A
Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents	Unknown	PDF	N/A
Unified Guidance for Geometry-Conditioned Molecular Generation	Unknown	PDF	N/A
Federated Learning over Connected Modes	Unknown	PDF	N/A
Zero-Shot Event-Intensity Asymmetric Stereo via Visual Prompting from Image Domain	Unknown	PDF	N/A
B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory	Unknown	PDF	N/A
How does PDE order affect the convergence of PINNs?	Unknown	PDF	N/A
A Unifying Normative Framework of Decision Confidence	Unknown	PDF	N/A
Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning	Unknown	PDF	N/A
ODGEN: Domain-specific Object Detection Data Generation with Diffusion Models	Unknown	PDF	N/A
DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis	Unknown	PDF	N/A
Sequential Harmful Shift Detection Without Labels	Unknown	PDF	N/A
RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting	Unknown	PDF	N/A
CoSy: Evaluating Textual Explanations of Neurons	Unknown	PDF	N/A
$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning	Unknown	PDF	N/A
Efficient Large Multi-modal Models via Visual Context Compression	Unknown	PDF	N/A
Mutual Information Estimation via Normalizing Flows	Unknown	PDF	N/A
LLM-based Skill Diffusion for Zero-shot Policy Adaptation	Unknown	PDF	N/A
A Universal Growth Rate for Learning with Smooth Surrogate Losses	Unknown	PDF	N/A
Cardinality-Aware Set Prediction and Top-$k$ Classification	Unknown	PDF	N/A
RTify: Aligning Deep Neural Networks with Human Behavioral Decisions	Unknown	PDF	N/A
A Simple and Optimal Approach for Universal Online Learning with Gradient Variations	Unknown	PDF	N/A
Universal Online Convex Optimization with $1$ Projection per Round	Unknown	PDF	N/A
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents	Unknown	PDF	N/A
Exploring Molecular Pretraining Model at Scale	Unknown	PDF	N/A
The Limits of Differential Privacy in Online Learning	Unknown	PDF	N/A
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling	Unknown	PDF	N/A
Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism	Unknown	PDF	N/A
Harnessing small projectors and multiple views for efficient vision pretraining	Unknown	PDF	N/A
On the Noise Robustness of In-Context Learning for Text Generation	Unknown	PDF	N/A
ALPINE: Unveiling The Planning Capability of Autoregressive Learning in Language Models	Unknown	PDF	N/A
AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning	Unknown	PDF	N/A
Rethinking Optimal Transport in Offline Reinforcement Learning	Unknown	PDF	N/A
Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates	Unknown	PDF	N/A
Improving Temporal Link Prediction via Temporal Walk Matrix Projection	Unknown	PDF	N/A
Bootstrapping Top-down Information for Self-modulating Slot Attention	Unknown	PDF	N/A
Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies	Unknown	PDF	N/A
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data	Unknown	PDF	N/A
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support	Unknown	PDF	N/A
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data	Unknown	PDF	N/A
Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization	Unknown	PDF	N/A
Optimal Hypothesis Selection in (Almost) Linear Time	Unknown	PDF	N/A
Strategic Linear Contextual Bandits	Unknown	PDF	N/A
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion	Unknown	PDF	N/A
Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks	Unknown	PDF	N/A
Self-Distilled Depth Refinement with Noisy Poisson Fusion	Unknown	PDF	N/A
Tackling Uncertain Correspondences for Multi-Modal Entity Alignment	Unknown	PDF	N/A
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs	Unknown	PDF	N/A
Single Image Reflection Separation via Dual-Stream Interactive Transformers	Unknown	PDF	N/A
Looks Too Good To Be True: An Information-Theoretic Analysis of Hallucinations in Generative Restoration Models	Unknown	PDF	N/A
GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantation	Unknown	PDF	N/A
Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity	Unknown	PDF	N/A
Causal vs. Anticausal merging of predictors	Unknown	PDF	N/A
Model Collapse Demystified: The Case of Regression	Unknown	PDF	N/A
4D Gaussian Splatting in the Wild with Uncertainty-Aware Regularization	Unknown	PDF	N/A
Text-Aware Diffusion for Policy Learning	Unknown	PDF	N/A
Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree	Unknown	PDF	N/A
Motion Graph Unleashed: A Novel Approach to Video Prediction	Unknown	PDF	N/A
On the Role of Attention Masks and LayerNorm in Transformers	Unknown	PDF	N/A
Simplified and Generalized Masked Diffusion for Discrete Data	Unknown	PDF	N/A
Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents	Unknown	PDF	N/A
StepbaQ: Stepping backward as Correction for Quantized Diffusion Models	Unknown	PDF	N/A
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms	Unknown	PDF	N/A
NeuroBOLT: Resting-state EEG-to-fMRI Synthesis with Multi-dimensional Feature Mapping	Unknown	PDF	N/A
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically	Unknown	PDF	N/A
Communication Efficient Distributed Training with Distributed Lion	Unknown	PDF	N/A
ECMamba: Consolidating Selective State Space Model with Retinex Guidance for Efficient Multiple Exposure Correction	Unknown	PDF	N/A
MiSO: Optimizing brain stimulation to create neural activity states	Unknown	PDF	N/A
Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion	Unknown	PDF	N/A
Lookback Prophet Inequalities	Unknown	PDF	N/A
From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS	Unknown	PDF	N/A
Learning-Augmented Priority Queues	Unknown	PDF	N/A
Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training	Unknown	PDF	N/A
Unconditional stability of a recurrent neural circuit implementing divisive normalization	Unknown	PDF	N/A
MotionBooth: Motion-Aware Customized Text-to-Video Generation	Unknown	PDF	N/A
Credal Deep Ensembles for Uncertainty Quantification	Unknown	PDF	N/A
Embedding Dimension of Contrastive Learning and $k$-Nearest Neighbors	Unknown	PDF	N/A
Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective	Unknown	PDF	N/A
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering	Unknown	PDF	N/A
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping	Unknown	PDF	N/A
FreqMark: Invisible Image Watermarking via Frequency Based Optimization in Latent Space	Unknown	PDF	N/A
Learning predictable and robust neural representations by straightening image sequences	Unknown	PDF	N/A
SafeWorld: Geo-Diverse Safety Alignment	Unknown	PDF	N/A
Taming the Long Tail in Human Mobility Prediction	Unknown	PDF	N/A
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs	Unknown	PDF	N/A
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis	Unknown	PDF	N/A
Fair Wasserstein Coresets	Unknown	PDF	N/A
Near-Minimax-Optimal Distributional Reinforcement Learning with a Generative Model	Unknown	PDF	N/A
UNIT: Unifying Image and Text Recognition in One Vision Encoder	Unknown	PDF	N/A
VidMan: Exploiting Implicit Dynamics from Video Diffusion Model for Effective Robot Manipulation	Unknown	PDF	N/A
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective	Unknown	PDF	N/A
Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training	Unknown	PDF	N/A
BitDelta: Your Fine-Tune May Only Be Worth One Bit	Unknown	PDF	N/A
Microstructures and Accuracy of Graph Recall by Large Language Models	Unknown	PDF	N/A
Pretrained Transformer Efficiently Learns Low-Dimensional Target Functions In-Context	Unknown	PDF	N/A
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor	Unknown	PDF	N/A
Sample-Efficient Agnostic Boosting	Unknown	PDF	N/A
Vision Mamba Mender	Unknown	PDF	N/A
Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models	Unknown	PDF	N/A
Adaptive Proximal Gradient Method for Convex Optimization	Unknown	PDF	N/A
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models	Unknown	PDF	N/A
Nesterov acceleration despite very noisy gradients	Unknown	PDF	N/A
Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention	Unknown	PDF	N/A
Can Transformers Smell Like Humans?	Unknown	PDF	N/A
Contrastive-Equivariant Self-Supervised Learning Improves Alignment with Primate Visual Area IT	Unknown	PDF	N/A
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation	Unknown	PDF	N/A
Training for Stable Explanation for Free	Unknown	PDF	N/A
DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging	Unknown	PDF	N/A
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation	Unknown	PDF	N/A
Data Distribution Valuation	Unknown	PDF	N/A
FastDrag: Manipulate Anything in One Step	Unknown	PDF	N/A
Online Posterior Sampling with a Diffusion Prior	Unknown	PDF	N/A
DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut	Unknown	PDF	N/A
$\text{ID}^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition	Unknown	PDF	N/A
Quadratic Quantum Variational Monte Carlo	Unknown	PDF	N/A
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies	Unknown	PDF	N/A
Scalable and Effective Arithmetic Tree Generation for Adder and Multiplier Designs	Unknown	PDF	N/A
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models	Unknown	PDF	N/A
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator	Unknown	PDF	N/A
Improving Equivariant Model Training via Constraint Relaxation	Unknown	PDF	N/A
Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation	Unknown	PDF	N/A
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework	Unknown	PDF	N/A
Amortized Fourier Neural Operators	Unknown	PDF	N/A
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning	Unknown	PDF	N/A
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators	Unknown	PDF	N/A
Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms	Unknown	PDF	N/A
LRM-Zero: Training Large Reconstruction Models with Synthesized Data	Unknown	PDF	N/A
PrefPaint: Aligning Image Inpainting Diffusion Model with Human Preference	Unknown	PDF	N/A
Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images	Unknown	PDF	N/A
Causal Effect Identification in a Sub-Population with Latent Variables	Unknown	PDF	N/A
Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery	Unknown	PDF	N/A
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference	Unknown	PDF	N/A
Inversion-based Latent Bayesian Optimization	Unknown	PDF	N/A
EigenVI: score-based variational inference with orthogonal function expansions	Unknown	PDF	N/A
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities	Unknown	PDF	N/A
Truthfulness of Calibration Measures	Unknown	PDF	N/A
FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models	Unknown	PDF	N/A
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning	Unknown	PDF	N/A
Achievable distributional robustness when the robust risk is only partially identified	Unknown	PDF	N/A
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime	Unknown	PDF	N/A
Bandits with Abstention under Expert Advice	Unknown	PDF	N/A
Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting	Unknown	PDF	N/A
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof	Unknown	PDF	N/A
Computational Aspects of Bayesian Persuasion under Approximate Best Response	Unknown	PDF	N/A
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization	Unknown	PDF	N/A
3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning	Unknown	PDF	N/A
Score-based generative models are provably robust: an uncertainty quantification perspective	Unknown	PDF	N/A
AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment	Unknown	PDF	N/A
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation	Unknown	PDF	N/A
Listenable Maps for Zero-Shot Audio Classifiers	Unknown	PDF	N/A
BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation	Unknown	PDF	N/A
Online Iterative Reinforcement Learning from Human Feedback with General Preference Model	Unknown	PDF	N/A
Dueling over Dessert, Mastering the Art of Repeated Cake Cutting	Unknown	PDF	N/A
Provable Posterior Sampling with Denoising Oracles via Tilted Transport	Unknown	PDF	N/A
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention	Unknown	PDF	N/A
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation	Unknown	PDF	N/A
Self-Supervised Adversarial Training via Diverse Augmented Queries and Self-Supervised Double Perturbation	Unknown	PDF	N/A
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients	Unknown	PDF	N/A
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand	Unknown	PDF	N/A
Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits	Unknown	PDF	N/A
Sample Efficient Bayesian Learning of Causal Graphs from Interventions	Unknown	PDF	N/A
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning	Unknown	PDF	N/A
Efficient and Private Marginal Reconstruction with Local Non-Negativity	Unknown	PDF	N/A
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization	Unknown	PDF	N/A
Uni-Med: A Unified Medical Generalist Foundation Model For Multi-Task Learning Via Connector-MoE	Unknown	PDF	N/A
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation	Unknown	PDF	N/A
Learning Infinitesimal Generators of Continuous Symmetries from Data	Unknown	PDF	N/A
CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics	Unknown	PDF	N/A
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks	Unknown	PDF	N/A
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning	Unknown	PDF	N/A
On the Identifiability of Hybrid Deep Generative Models: Meta-Learning as a Solution	Unknown	PDF	N/A
FairWire: Fair Graph Generation	Unknown	PDF	N/A
Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors	Unknown	PDF	N/A
Multi-model Ensemble Conformal Prediction in Dynamic Environments	Unknown	PDF	N/A
SPO: Sequential Monte Carlo Policy Optimisation	Unknown	PDF	N/A
Membership Inference Attacks against Large Vision-Language Models	Unknown	PDF	N/A
Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization	Unknown	PDF	N/A
Causal Dependence Plots	Unknown	PDF	N/A
LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss	Unknown	PDF	N/A
FlexCap: Describe Anything in Images in Controllable Detail	Unknown	PDF	N/A
Sequoia: Scalable and Robust Speculative Decoding	Unknown	PDF	N/A
Blind Image Restoration via Fast Diffusion Inversion	Unknown	PDF	N/A
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints	Unknown	PDF	N/A
MimicTalk: Mimicking a personalized and expressive 3D talking face in minutes	Unknown	PDF	N/A
Diffusion Models With Learned Adaptive Noise	Unknown	PDF	N/A
LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search	Unknown	PDF	N/A
Generalizing CNNs to graphs with learnable neighborhood quantization	Unknown	PDF	N/A
Bayesian Online Natural Gradient (BONG)	Unknown	PDF	N/A
Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem	Unknown	PDF	N/A
Mixture of neural fields for heterogeneous reconstruction in cryo-EM	Unknown	PDF	N/A
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions	Unknown	PDF	N/A
Policy Mirror Descent with Lookahead	Unknown	PDF	N/A
AV-Cloud: Spatial Audio Rendering Through Audio-Visual Cloud Splatting	Unknown	PDF	N/A
Self-Calibrating Conformal Prediction	Unknown	PDF	N/A
Dual Lagrangian Learning for Conic Optimization	Unknown	PDF	N/A
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence	Unknown	PDF	N/A
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks	Unknown	PDF	N/A
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior	Unknown	PDF	N/A
State-free Reinforcement Learning	Unknown	PDF	N/A
CosAE: Learnable Fourier Series for Image Restoration	Unknown	PDF	N/A
Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level Signature	Unknown	PDF	N/A
Practical Shuffle Coding	Unknown	PDF	N/A
Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm	Unknown	PDF	N/A
A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics	Unknown	PDF	N/A
Evaluating the design space of diffusion-based generative models	Unknown	PDF	N/A
Learn To be Efficient: Build Structured Sparsity in Large Language Models	Unknown	PDF	N/A
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games	Unknown	PDF	N/A
Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice	Unknown	PDF	N/A
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization	Unknown	PDF	N/A
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning	Unknown	PDF	N/A
Diffusing Differentiable Representations	Unknown	PDF	N/A
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models	Unknown	PDF	N/A
Understanding Hallucinations in Diffusion Models through Mode Interpolation	Unknown	PDF	N/A
Predicting the Performance of Foundation Models via Agreement-on-the-Line	Unknown	PDF	N/A
Improving Alignment and Robustness with Circuit Breakers	Unknown	PDF	N/A
DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation	Unknown	PDF	N/A
Language-Driven Interactive Traffic Trajectory Generation	Unknown	PDF	N/A
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?	Unknown	PDF	N/A
Graph Classification via Reference Distribution Learning: Theory and Practice	Unknown	PDF	N/A
HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods	Unknown	PDF	N/A
Reparameterization invariance in approximate Bayesian inference	Unknown	PDF	N/A
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond	Unknown	PDF	N/A
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models	Unknown	PDF	N/A
You Only Cache Once: Decoder-Decoder Architectures for Language Models	Unknown	PDF	N/A
Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights	Unknown	PDF	N/A
Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos	Unknown	PDF	N/A
Revisiting Adversarial Patches for Designing Camera-Agnostic Attacks against Person Detection	Unknown	PDF	N/A
Not Just Object, But State: Compositional Incremental Learning without Forgetting	Unknown	PDF	N/A
Learning from Noisy Labels via Conditional Distributionally Robust Optimization	Unknown	PDF	N/A
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing	Unknown	PDF	N/A
DiffuserLite: Towards Real-time Diffusion Planning	Unknown	PDF	N/A
Overcoming Common Flaws in the Evaluation of Selective Classification Systems	Unknown	PDF	N/A
Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation	Unknown	PDF	N/A
Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model	Unknown	PDF	N/A
From Similarity to Superiority: Channel Clustering for Time Series Forecasting	Unknown	PDF	N/A
When Is Inductive Inference Possible?	Unknown	PDF	N/A
Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments	Unknown	PDF	N/A
Active learning of neural population dynamics using two-photon holographic optogenetics	Unknown	PDF	N/A
Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems	Unknown	PDF	N/A
Quantitative Convergences of Lie Group Momentum Optimizers	Unknown	PDF	N/A
Multi-language Diversity Benefits Autoformalization	Unknown	PDF	N/A
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering	Unknown	PDF	N/A
Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data	Unknown	PDF	N/A
Towards Understanding Extrapolation: a Causal Lens	Unknown	PDF	N/A
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning	Unknown	PDF	N/A
Automated Efficient Estimation using Monte Carlo Efficient Influence Functions	Unknown	PDF	N/A
Multidimensional Fractional Programming for Normalized Cuts	Unknown	PDF	N/A
Instance-adaptive Zero-shot Chain-of-Thought Prompting	Unknown	PDF	N/A
How Does Variance Shape the Regret in Contextual Bandits?	Unknown	PDF	N/A
Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction	Unknown	PDF	N/A
Towards Multi-dimensional Explanation Alignment for Medical Classification	Unknown	PDF	N/A
On Tractable $\Phi$-Equilibria in Non-Concave Games	Unknown	PDF	N/A
Enhancing Large Language Models through Adaptive Tokenizers	Unknown	PDF	N/A
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks	Unknown	PDF	N/A
Stylus: Automatic Adapter Selection for Diffusion Models	Unknown	PDF	N/A
Flexible Context-Driven Sensory Processing in Dynamical Vision Models	Unknown	PDF	N/A
Generative Adversarial Model-Based Optimization via Source Critic Regularization	Unknown	PDF	N/A
GS-Hider: Hiding Messages into 3D Gaussian Splatting	Unknown	PDF	N/A
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling	Unknown	PDF	N/A
Global Rewards in Restless Multi-Armed Bandits	Unknown	PDF	N/A
EGonc : Energy-based Open-Set Node Classification with substitute Unknowns	Unknown	PDF	N/A
Improving the Learning Capability of Small-size Image Restoration Network by Deep Fourier Shifting	Unknown	PDF	N/A
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers	Unknown	PDF	N/A
Topological obstruction to the training of shallow ReLU neural networks	Unknown	PDF	N/A
Low Degree Hardness for Broadcasting on Trees	Unknown	PDF	N/A
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning	Unknown	PDF	N/A
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention	Unknown	PDF	N/A
Fearless Stochasticity in Expectation Propagation	Unknown	PDF	N/A
Learning General Parameterized Policies for Infinite Horizon Average Reward Constrained MDPs via Primal-Dual Policy Gradient Algorithm	Unknown	PDF	N/A
D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup	Unknown	PDF	N/A
A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning	Unknown	PDF	N/A
SA3DIP: Segment Any 3D Instance with Potential 3D Priors	Unknown	PDF	N/A
The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space	Unknown	PDF	N/A
Higher-Order Causal Message Passing for Experimentation with Complex Interference	Unknown	PDF	N/A
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses	Unknown	PDF	N/A
Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport	Unknown	PDF	N/A
Boundary Matters: A Bi-Level Active Finetuning Method	Unknown	PDF	N/A
AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models	Unknown	PDF	N/A
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising	Unknown	PDF	N/A
COVE: Unleashing the Diffusion Feature Correspondence for Consistent Video Editing	Unknown	PDF	N/A
Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover	Unknown	PDF	N/A
How Does Black-Box Impact the Learning Guarantee of Stochastic Compositional Optimization?	Unknown	PDF	N/A
Towards Dynamic Message Passing on Graphs	Unknown	PDF	N/A
Bias Detection via Signaling	Unknown	PDF	N/A
Linear Regression using Heterogeneous Data Batches	Unknown	PDF	N/A
Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification	Unknown	PDF	N/A
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem	Unknown	PDF	N/A
On the Complexity of Teaching a Family of Linear Behavior Cloning Learners	Unknown	PDF	N/A
iVideoGPT: Interactive VideoGPTs are Scalable World Models	Unknown	PDF	N/A
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity	Unknown	PDF	N/A
AV-GS: Learning Material and Geometry Aware Priors for Novel View Acoustic Synthesis	Unknown	PDF	N/A
Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models	Unknown	PDF	N/A
Real-Time Recurrent Learning using Trace Units in Reinforcement Learning	Unknown	PDF	N/A
Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments	Unknown	PDF	N/A
Iterative Reasoning Preference Optimization	Unknown	PDF	N/A
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning	Unknown	PDF	N/A
Chain-of-Thought Reasoning Without Prompting	Unknown	PDF	N/A
A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise	Unknown	PDF	N/A
AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation	Unknown	PDF	N/A
What is my quantum computer good for? Quantum capability learning with physics-aware neural networks	Unknown	PDF	N/A
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers	Unknown	PDF	N/A
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning	Unknown	PDF	N/A
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning	Unknown	PDF	N/A
Motion Forecasting in Continuous Driving	Unknown	PDF	N/A
Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function	Unknown	PDF	N/A
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning	Unknown	PDF	N/A
Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL	Unknown	PDF	N/A
Verified Code Transpilation with LLMs	Unknown	PDF	N/A
Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus	Unknown	PDF	N/A
VFIMamba: Video Frame Interpolation with State Space Models	Unknown	PDF	N/A
Regularized Q-Learning	Unknown	PDF	N/A
DiTFastAttn: Attention Compression for Diffusion Transformer Models	Unknown	PDF	N/A
Improving Context-Aware Preference Modeling for Language Models	Unknown	PDF	N/A
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution	Unknown	PDF	N/A
TARSS-Net: Temporal-Aware Radar Semantic Segmentation Network	Unknown	PDF	N/A
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction	Unknown	PDF	N/A
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning	Unknown	PDF	N/A
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought	Unknown	PDF	N/A
Minimizing UCB: a Better Local Search Strategy in Local Bayesian Optimization	Unknown	PDF	N/A
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning	Unknown	PDF	N/A
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness	Unknown	PDF	N/A
FIDE: Frequency-Inflated Conditional Diffusion Model for Extreme-Aware Time Series Generation	Unknown	PDF	N/A
DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph	Unknown	PDF	N/A
TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment	Unknown	PDF	N/A
Efficient Centroid-Linkage Clustering	Unknown	PDF	N/A
Deep Support Vectors	Unknown	PDF	N/A
Toxicity Detection for Free	Unknown	PDF	N/A
SIRIUS : Contexual Sparisty with Correction for Efficient LLMs	Unknown	PDF	N/A
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis	Unknown	PDF	N/A
Unlocking Tokens as Data Points for Generalization Bounds on Larger Language Models	Unknown	PDF	N/A
Verifiably Robust Conformal Prediction	Unknown	PDF	N/A
Algorithmic progress in language models	Unknown	PDF	N/A
Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication	Unknown	PDF	N/A
One-shot Federated Learning via Synthetic Distiller-Distillate Communication	Unknown	PDF	N/A
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models	Unknown	PDF	N/A
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation	Unknown	PDF	N/A
Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild	Unknown	PDF	N/A
LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS	Unknown	PDF	N/A
Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks	Unknown	PDF	N/A
Learning Discrete Latent Variable Structures with Tensor Rank Conditions	Unknown	PDF	N/A
Open-Book Neural Algorithmic Reasoning	Unknown	PDF	N/A
Separations in the Representational Capabilities of Transformers and Recurrent Architectures	Unknown	PDF	N/A
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity	Unknown	PDF	N/A
ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making	Unknown	PDF	N/A
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning	Unknown	PDF	N/A
Why Go Full? Elevating Federated Learning Through Partial Network Updates	Unknown	PDF	N/A
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms	Unknown	PDF	N/A
Robust Neural Contextual Bandit against Adversarial Corruptions	Unknown	PDF	N/A
The Sample-Communication Complexity Trade-off in Federated Q-Learning	Unknown	PDF	N/A
Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback	Unknown	PDF	N/A
Graph neural networks and non-commuting operators	Unknown	PDF	N/A
Diffusion Imitation from Observation	Unknown	PDF	N/A
Universal Rates of Empirical Risk Minimization	Unknown	PDF	N/A
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift	Unknown	PDF	N/A
Transfer Learning for Diffusion Models	Unknown	PDF	N/A
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation	Unknown	PDF	N/A
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models	Unknown	PDF	N/A
Sparse High Rank Adapters	Unknown	PDF	N/A
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach	Unknown	PDF	N/A
Block Transformer: Global-to-Local Language Modeling for Fast Inference	Unknown	PDF	N/A
Consensus Learning with Deep Sets for Essential Matrix Estimation	Unknown	PDF	N/A
Learning symmetries via weight-sharing with doubly stochastic tensors	Unknown	PDF	N/A
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers	Unknown	PDF	N/A
Fast Rates for Bandit PAC Multiclass Classification	Unknown	PDF	N/A
Zero-Shot Reinforcement Learning from Low Quality Data	Unknown	PDF	N/A
Is Your LiDAR Placement Optimized for 3D Scene Understanding?	Unknown	PDF	N/A
Right this way: Can VLMs Guide Us to See More to Answer Questions?	Unknown	PDF	N/A
Amortized Active Causal Induction with Deep Reinforcement Learning	Unknown	PDF	N/A
Group and Shuffle: Efficient Structured Orthogonal Parametrization	Unknown	PDF	N/A
Learning Place Cell Representations and Context-Dependent Remapping	Unknown	PDF	N/A
Slot-VLM: Object-Event Slots for Video-Language Modeling	Unknown	PDF	N/A
CALVIN: Improved Contextual Video Captioning via Instruction Tuning	Unknown	PDF	N/A
Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View	Unknown	PDF	N/A
Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing	Unknown	PDF	N/A
Learning Social Welfare Functions	Unknown	PDF	N/A
Great Minds Think Alike: The Universal Convergence Trend of Input Salience	Unknown	PDF	N/A
Meta-Learning Universal Priors Using Non-Injective Change of Variables	Unknown	PDF	N/A
Doubly Mild Generalization for Offline Reinforcement Learning	Unknown	PDF	N/A
Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality	Unknown	PDF	N/A
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes	Unknown	PDF	N/A
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior	Unknown	PDF	N/A
Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)	Unknown	PDF	N/A
Prediction-Powered Ranking of Large Language Models	Unknown	PDF	N/A
Human-3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models	Unknown	PDF	N/A
Derivatives of Stochastic Gradient Descent in parametric optimization	Unknown	PDF	N/A
Progressive Entropic Optimal Transport Solvers	Unknown	PDF	N/A
Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms	Unknown	PDF	N/A
Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration	Unknown	PDF	N/A
Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels	Unknown	PDF	N/A
Navigable Graphs for High-Dimensional Nearest Neighbor Search: Constructions and Limits	Unknown	PDF	N/A
Invisible Image Watermarks Are Provably Removable Using Generative AI	Unknown	PDF	N/A
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation	Unknown	PDF	N/A
VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation	Unknown	PDF	N/A
DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations	Unknown	PDF	N/A
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition	Unknown	PDF	N/A
AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos	Unknown	PDF	N/A
LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image	Unknown	PDF	N/A
The Power of Resets in Online Reinforcement Learning	Unknown	PDF	N/A
Flipping-based Policy for Chance-Constrained Markov Decision Processes	Unknown	PDF	N/A
Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning	Unknown	PDF	N/A
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning	Unknown	PDF	N/A
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning	Unknown	PDF	N/A
Offline Oracle-Efficient Learning for Contextual MDPs via Layerwise Exploration-Exploitation Tradeoff	Unknown	PDF	N/A
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing	Unknown	PDF	N/A
Approximately Pareto-optimal Solutions for Bi-Objective k-Clustering	Unknown	PDF	N/A
Unified Insights: Harnessing Multi-modal Data for Phenotype Imputation via View Decoupling	Unknown	PDF	N/A
Bayesian Nonparametrics Meets Data-Driven Distributionally Robust Optimization	Unknown	PDF	N/A
Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence	Unknown	PDF	N/A
On the Power of Small-size Graph Neural Networks for Linear Programming	Unknown	PDF	N/A
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning	Unknown	PDF	N/A
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level	Unknown	PDF	N/A
Robust Reinforcement Learning with General Utility	Unknown	PDF	N/A
Optimal and Approximate Adaptive Stochastic Quantization	Unknown	PDF	N/A
NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing	Unknown	PDF	N/A
Extensive-Form Game Solving via Blackwell Approachability on Treeplexes	Unknown	PDF	N/A
EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas	Unknown	PDF	N/A
Evaluating alignment between humans and neural network representations in image-based learning tasks	Unknown	PDF	N/A
Autoformalize Mathematical Statements by Symbolic Equivalence and Semantic Consistency	Unknown	PDF	N/A
Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects	Unknown	PDF	N/A
Improving Neural Network Surface Processing with Principal Curvatures	Unknown	PDF	N/A
Temporal-Difference Learning Using Distributed Error Signals	Unknown	PDF	N/A
LLM Evaluators Recognize and Favor Their Own Generations	Unknown	PDF	N/A
Conformalized Multiple Testing after Data-dependent Selection	Unknown	PDF	N/A
Globally Convergent Variational Inference	Unknown	PDF	N/A
Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs	Unknown	PDF	N/A
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling	Unknown	PDF	N/A
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models	Unknown	PDF	N/A
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks	Unknown	PDF	N/A
Noise-Aware Differentially Private Regression via Meta-Learning	Unknown	PDF	N/A
Boosting Text-to-Video Generative Model with MLLMs Feedback	Unknown	PDF	N/A
Building on Efficient Foundations: Effective Training of LLMs with Structured Feedforward Layers	Unknown	PDF	N/A
Articulate your NeRF: Unsupervised articulated object modeling via conditional view synthesis	Unknown	PDF	N/A
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation	Unknown	PDF	N/A
Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning	Unknown	PDF	N/A
Optimization Algorithm Design via Electric Circuits	Unknown	PDF	N/A
Aligning Model Properties via Conformal Risk Control	Unknown	PDF	N/A
UMB: Understanding Model Behavior for Open-World Object Detection	Unknown	PDF	N/A
Compact Language Models via Pruning and Knowledge Distillation	Unknown	PDF	N/A
Context and Geometry Aware Voxel Transformer for Semantic Scene Completion	Unknown	PDF	N/A
IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs	Unknown	PDF	N/A
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series	Unknown	PDF	N/A
Online Learning with Sublinear Best-Action Queries	Unknown	PDF	N/A
Knowledge Circuits in Pretrained Transformers	Unknown	PDF	N/A
Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory	Unknown	PDF	N/A
UDPM: Upsampling Diffusion Probabilistic Models	Unknown	PDF	N/A
Improving Subgroup Robustness via Data Selection	Unknown	PDF	N/A
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification	Unknown	PDF	N/A
Attention boosted Individualized Regression	Unknown	PDF	N/A
Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes	Unknown	PDF	N/A
Testing Semantic Importance via Betting	Unknown	PDF	N/A
Optimal Transport-based Labor-free Text Prompt Modeling for Sketch Re-identification	Unknown	PDF	N/A
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance	Unknown	PDF	N/A
Label Delay in Online Continual Learning	Unknown	PDF	N/A
Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor	Unknown	PDF	N/A
Vector Quantization Prompting for Continual Learning	Unknown	PDF	N/A
TableRAG: Million-Token Table Understanding with Language Models	Unknown	PDF	N/A
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification	Unknown	PDF	N/A
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation	Unknown	PDF	N/A
Credal Learning Theory	Unknown	PDF	N/A
DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform	Unknown	PDF	N/A
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning	Unknown	PDF	N/A
Improving Neural ODE Training with Temporal Adaptive Batch Normalization	Unknown	PDF	N/A
CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing	Unknown	PDF	N/A
Optimal Batched Best Arm Identification	Unknown	PDF	N/A
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations	Unknown	PDF	N/A
Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases	Unknown	PDF	N/A
Causal Context Adjustment Loss for Learned Image Compression	Unknown	PDF	N/A
Covariate Shift Corrected Conditional Randomization Test	Unknown	PDF	N/A
Expanding Sparse Tuning for Low Memory Usage	Unknown	PDF	N/A
SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision	Unknown	PDF	N/A
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation	Unknown	PDF	N/A
UQE: A Query Engine for Unstructured Databases	Unknown	PDF	N/A
PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression	Unknown	PDF	N/A
Learning Identifiable Factorized Causal Representations of Cellular Responses	Unknown	PDF	N/A
Multi-Group Proportional Representation in Retrieval	Unknown	PDF	N/A
Fair Secretaries with Unfair Predictions	Unknown	PDF	N/A
Auditing Privacy Mechanisms via Label Inference Attacks	Unknown	PDF	N/A
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications	Unknown	PDF	N/A
Simple and Fast Distillation of Diffusion Models	Unknown	PDF	N/A
Unsupervised Anomaly Detection in The Presence of Missing Values	Unknown	PDF	N/A
Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss	Unknown	PDF	N/A
NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics	Unknown	PDF	N/A
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate	Unknown	PDF	N/A
DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching	Unknown	PDF	N/A
Matryoshka Query Transformer for Large Vision-Language Models	Unknown	PDF	N/A
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization	Unknown	PDF	N/A
Differentiable Structure Learning with Partial Orders	Unknown	PDF	N/A
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation	Unknown	PDF	N/A
Genetic-guided GFlowNets for Sample Efficient Molecular Optimization	Unknown	PDF	N/A
Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits	Unknown	PDF	N/A
Rethinking Fourier Transform from A Basis Functions Perspective for Long-term Time Series Forecasting	Unknown	PDF	N/A
Toward Semantic Gaze Target Detection	Unknown	PDF	N/A
BERTs are Generative In-Context Learners	Unknown	PDF	N/A
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing	Unknown	PDF	N/A
Model-based Diffusion for Trajectory Optimization	Unknown	PDF	N/A
Provably Faster Algorithms for Bilevel Optimization via Without-Replacement Sampling	Unknown	PDF	N/A
Locally Private and Robust Multi-Armed Bandits	Unknown	PDF	N/A
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation	Unknown	PDF	N/A
AdanCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer	Unknown	PDF	N/A
InterDreamer: Zero-Shot Text to 3D Dynamic Human-Object Interaction	Unknown	PDF	N/A
Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects	Unknown	PDF	N/A
Truncated Variance Reduced Value Iteration	Unknown	PDF	N/A
Effective Exploration Based on the Structural Information Principles	Unknown	PDF	N/A
QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs	Unknown	PDF	N/A
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem	Unknown	PDF	N/A
Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars	Unknown	PDF	N/A
Inferring stochastic low-rank recurrent neural networks from neural data	Unknown	PDF	N/A
Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast	Unknown	PDF	N/A
Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler	Unknown	PDF	N/A
Diffusion Spectral Representation for Reinforcement Learning	Unknown	PDF	N/A
Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization	Unknown	PDF	N/A
Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks	Unknown	PDF	N/A
Multistep Distillation of Diffusion Models via Moment Matching	Unknown	PDF	N/A
Towards Multi-Domain Learning for Generalizable Video Anomaly Detection	Unknown	PDF	N/A
Convergence of No-Swap-Regret Dynamics in Self-Play	Unknown	PDF	N/A
Cross-Scale Self-Supervised Blind Image Deblurring via Implicit Neural Representation	Unknown	PDF	N/A
Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity	Unknown	PDF	N/A
Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding	Unknown	PDF	N/A
Global Convergence in Training Large-Scale Transformers	Unknown	PDF	N/A
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs	Unknown	PDF	N/A
Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks	Unknown	PDF	N/A
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces	Unknown	PDF	N/A
Spiking Neural Network as Adaptive Event Stream Slicer	Unknown	PDF	N/A
Universal Exact Compression of Differentially Private Mechanisms	Unknown	PDF	N/A
Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections	Unknown	PDF	N/A
Fast Proxy Experiment Design for Causal Effect Identification	Unknown	PDF	N/A
Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models	Unknown	PDF	N/A
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions	Unknown	PDF	N/A
ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splattings	Unknown	PDF	N/A
Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning	Unknown	PDF	N/A
Simplifying Latent Dynamics with Softly State-Invariant World Models	Unknown	PDF	N/A
PAC-Bayes-Chernoff bounds for unbounded losses	Unknown	PDF	N/A
Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences	Unknown	PDF	N/A
LLM Dataset Inference: Did you train on my dataset?	Unknown	PDF	N/A
Grokking of Implicit Reasoning in Transformers: A Mechanistic Journey to the Edge of Generalization	Unknown	PDF	N/A
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms	Unknown	PDF	N/A
Learning Distinguishable Trajectory Representation with Contrastive Loss	Unknown	PDF	N/A
Interpreting the Weight Space of Customized Diffusion Models	Unknown	PDF	N/A
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning	Unknown	PDF	N/A
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers	Unknown	PDF	N/A
Identifying Spatio-Temporal Drivers of Extreme Events	Unknown	PDF	N/A
HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting	Unknown	PDF	N/A
Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding	Unknown	PDF	N/A
Contextual Decision-Making with Knapsacks Beyond the Worst Case	Unknown	PDF	N/A
Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions	Unknown	PDF	N/A
Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times	Unknown	PDF	N/A
Make Continual Learning Stronger via C-Flat	Unknown	PDF	N/A
Automatic Outlier Rectification via Optimal Transport	Unknown	PDF	N/A
Exactly Minimax-Optimal Locally Differentially Private Sampling	Unknown	PDF	N/A
On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift	Unknown	PDF	N/A
Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack	Unknown	PDF	N/A
PuLID: Pure and Lightning ID Customization via Contrastive Alignment	Unknown	PDF	N/A
A Theory of Optimistically Universal Online Learnability for General Concept Classes	Unknown	PDF	N/A
Efficient Streaming Algorithms for Graphlet Sampling	Unknown	PDF	N/A
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions	Unknown	PDF	N/A
Nearly Minimax Optimal Regret for Multinomial Logistic Bandit	Unknown	PDF	N/A
FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models	Unknown	PDF	N/A
STONE: A Submodular Optimization Framework for Active 3D Object Detection	Unknown	PDF	N/A
Data subsampling for Poisson regression with pth-root-link	Unknown	PDF	N/A
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning	Unknown	PDF	N/A
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective	Unknown	PDF	N/A
Kernel PCA for Out-of-Distribution Detection	Unknown	PDF	N/A
Matching the Statistical Query Lower Bound for $k$-Sparse Parity Problems with Sign Stochastic Gradient Descent	Unknown	PDF	N/A
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad	Unknown	PDF	N/A
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning	Unknown	PDF	N/A
CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection	Unknown	PDF	N/A
Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities	Unknown	PDF	N/A
Multiview Scene Graph	Unknown	PDF	N/A
Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection	Unknown	PDF	N/A
Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers	Unknown	PDF	N/A
3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization	Unknown	PDF	N/A
Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals	Unknown	PDF	N/A
LLaNA: Large Language and NeRF Assistant	Unknown	PDF	N/A
Predicting Label Distribution from Ternary Labels	Unknown	PDF	N/A
Deep linear networks for regression are implicitly regularized towards flat minima	Unknown	PDF	N/A
SAM-Guided Masked Token Prediction for 3D Scene Understanding	Unknown	PDF	N/A
MECD: Unlocking Multi-Event Causal Discovery in Video Reasoning	Unknown	PDF	N/A
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity	Unknown	PDF	N/A
Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages	Unknown	PDF	N/A
Consistency Diffusion Bridge Models	Unknown	PDF	N/A
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization	Unknown	PDF	N/A
ProxyFusion: Face Feature Aggregation Through Sparse Experts	Unknown	PDF	N/A
Language Generation in the Limit	Unknown	PDF	N/A
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts	Unknown	PDF	N/A
Pruning neural network models for gene regulatory dynamics using data and domain knowledge	Unknown	PDF	N/A
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields	Unknown	PDF	N/A
Policy Improvement using Language Feedback Models	Unknown	PDF	N/A
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks	Unknown	PDF	N/A
Edit Distance Robust Watermarks via Indexing Pseudorandom Codes	Unknown	PDF	N/A
Artemis: Towards Referential Understanding in Complex Videos	Unknown	PDF	N/A
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search	Unknown	PDF	N/A
TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models	Unknown	PDF	N/A
Federated Black-Box Adaptation for Semantic Segmentation	Unknown	PDF	N/A
Structured Learning of Compositional Sequential Interventions	Unknown	PDF	N/A
The Power of Extrapolation in Federated Learning	Unknown	PDF	N/A
Scalable Neural Network Verification with Branch-and-bound Inferred Cutting Planes	Unknown	PDF	N/A
Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation	Unknown	PDF	N/A
Linguistic Collapse: Neural Collapse in (Large) Language Models	Unknown	PDF	N/A
Continuous Temporal Domain Generalization	Unknown	PDF	N/A
Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability	Unknown	PDF	N/A
Relational Concept Bottleneck Models	Unknown	PDF	N/A
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences	Unknown	PDF	N/A
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model	Unknown	PDF	N/A
Robust Conformal Prediction Using Privileged Information	Unknown	PDF	N/A
Differentiable Quantum Computing for Large-scale Linear Control	Unknown	PDF	N/A
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization	Unknown	PDF	N/A
Language Models as Hierarchy Encoders	Unknown	PDF	N/A
On the Convergence of Loss and Uncertainty-based Active Learning Algorithms	Unknown	PDF	N/A
Exponential Quantum Communication Advantage in Distributed Inference and Learning	Unknown	PDF	N/A
BehaviorGPT: Smart Agent Simulation for Autonomous Driving with Next-Patch Prediction	Unknown	PDF	N/A
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views	Unknown	PDF	N/A
Sample Selection via Contrastive Fragmentation for Noisy Label Regression	Unknown	PDF	N/A
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models	Unknown	PDF	N/A
First-Order Minimax Bilevel Optimization	Unknown	PDF	N/A
Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning	Unknown	PDF	N/A
Neuronal Competition Groups with Supervised STDP for Spike-Based Classification	Unknown	PDF	N/A
Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation	Unknown	PDF	N/A
A distributional simplicity bias in the learning dynamics of transformers	Unknown	PDF	N/A
Improving Decision Sparsity	Unknown	PDF	N/A
HOI-Swap: Swapping Objects in Videos with Hand-Object Interaction Awareness	Unknown	PDF	N/A
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models	Unknown	PDF	N/A
Active Set Ordering	Unknown	PDF	N/A
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback	Unknown	PDF	N/A
Sparse Bayesian Generative Modeling for Compressive Sensing	Unknown	PDF	N/A
Dual Critic Reinforcement Learning under Partial Observability	Unknown	PDF	N/A
Achievable Fairness on Your Data With Utility Guarantees	Unknown	PDF	N/A
Skill-aware Mutual Information Optimisation for Zero-shot Generalisation in Reinforcement Learning	Unknown	PDF	N/A
Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning	Unknown	PDF	N/A
Value-Based Deep Multi-Agent Reinforcement Learning with Dynamic Sparse Training	Unknown	PDF	N/A
PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation	Unknown	PDF	N/A
Preference-based Pure Exploration	Unknown	PDF	N/A
Propensity Score Alignment of Unpaired Multimodal Data	Unknown	PDF	N/A
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge	Unknown	PDF	N/A
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users	Unknown	PDF	N/A
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model	Unknown	PDF	N/A
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees	Unknown	PDF	N/A
OmniTokenizer: A Joint Image-Video Tokenizer for Visual Generation	Unknown	PDF	N/A
Learning the Infinitesimal Generator of Stochastic Diffusion Processes	Unknown	PDF	N/A
Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization	Unknown	PDF	N/A
ESPACE: Dimensionality Reduction of Activations for Model Compression	Unknown	PDF	N/A
Animate3D: Animating Any 3D Model with Multi-view Video Diffusion	Unknown	PDF	N/A
Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach	Unknown	PDF	N/A
Learning Representations for Hierarchies with Minimal Support	Unknown	PDF	N/A
Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems	Unknown	PDF	N/A
Generative Semi-supervised Graph Anomaly Detection	Unknown	PDF	N/A
Approximating mutual information of high-dimensional variables using learned representations	Unknown	PDF	N/A
Online Feature Updates Improve Online (Generalized) Label Shift Adaptation	Unknown	PDF	N/A
A Consistency-Aware Spot-Guided Transformer for Versatile and Hierarchical Point Cloud Registration	Unknown	PDF	N/A
Finding good policies in average-reward Markov Decision Processes without prior knowledge	Unknown	PDF	N/A
Is Score Matching Suitable for Estimating Point Processes?	Unknown	PDF	N/A
Initializing Services in Interactive ML Systems for Diverse Users	Unknown	PDF	N/A
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language	Unknown	PDF	N/A
Local and Adaptive Mirror Descents in Extensive-Form Games	Unknown	PDF	N/A
Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting	Unknown	PDF	N/A
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models	Unknown	PDF	N/A
Hierarchical Object-Aware Dual-Level Contrastive Learning for Domain Generalized Stereo Matching	Unknown	PDF	N/A
Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization	Unknown	PDF	N/A
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning	Unknown	PDF	N/A
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach	Unknown	PDF	N/A
Transferring disentangled representations: bridging the gap between synthetic and real images	Unknown	PDF	N/A
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling	Unknown	PDF	N/A
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning	Unknown	PDF	N/A
Neural Embeddings Rank: Aligning 3D latent dynamics with movements	Unknown	PDF	N/A
Periodic agent-state based Q-learning for POMDPs	Unknown	PDF	N/A
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning	Unknown	PDF	N/A
Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning	Unknown	PDF	N/A
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation	Unknown	PDF	N/A
Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network	Unknown	PDF	N/A
Proportional Fairness in Clustering: A Social Choice Perspective	Unknown	PDF	N/A
FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference	Unknown	PDF	N/A
Full-Atom Peptide Design with Geometric Latent Diffusion	Unknown	PDF	N/A
Learning via Surrogate PAC-Bayes	Unknown	PDF	N/A
OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images	Unknown	PDF	N/A
Consistency Models for Scalable and Fast Simulation-Based Inference	Unknown	PDF	N/A
Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation	Unknown	PDF	N/A
Piecewise deterministic generative models	Unknown	PDF	N/A
Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models	Unknown	PDF	N/A
A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression	Unknown	PDF	N/A
Target-Guided Adversarial Point Cloud Transformer Towards Recognition Against Real-world Corruptions	Unknown	PDF	N/A
Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning	Unknown	PDF	N/A
On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization	Unknown	PDF	N/A
LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model	Unknown	PDF	N/A
Dynamic Rescaling for Training GNNs	Unknown	PDF	N/A
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity	Unknown	PDF	N/A
Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning	Unknown	PDF	N/A
Smoke and Mirrors in Causal Downstream Tasks	Unknown	PDF	N/A
Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy	Unknown	PDF	N/A
Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation	Unknown	PDF	N/A
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks	Unknown	PDF	N/A
SSDM: Scalable Speech Dysfluency Modeling	Unknown	PDF	N/A
State Chrono Representation for Enhancing Generalization in Reinforcement Learning	Unknown	PDF	N/A
WaveAttack: Asymmetric Frequency Obfuscation-based Backdoor Attacks Against Deep Neural Networks	Unknown	PDF	N/A
SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices	Unknown	PDF	N/A
Non-convolutional graph neural networks.	Unknown	PDF	N/A
Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting	Unknown	PDF	N/A
PowerPM: Foundation Model for Power Systems	Unknown	PDF	N/A
Image Reconstruction Via Autoencoding Sequential Deep Image Prior	Unknown	PDF	N/A
Hamiltonian Score Matching and Generative Flows	Unknown	PDF	N/A
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback	Unknown	PDF	N/A
Visual Perception by Large Language Model’s Weights	Unknown	PDF	N/A
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs	Unknown	PDF	N/A
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models	Unknown	PDF	N/A
Unravelling in Collaborative Learning	Unknown	PDF	N/A
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?	Unknown	PDF	N/A
Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems	Unknown	PDF	N/A
LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Control and Rendering	Unknown	PDF	N/A
What Makes Partial-Label Learning Algorithms Effective?	Unknown	PDF	N/A
Online Control with Adversarial Disturbance for Continuous-time Linear Systems	Unknown	PDF	N/A
Semantic Routing via Autoregressive Modeling	Unknown	PDF	N/A
Learning to Understand: Identifying Interactions via the Möbius Transform	Unknown	PDF	N/A
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling	Unknown	PDF	N/A
REDUCR: Robust Data Downsampling using Class Priority Reweighting	Unknown	PDF	N/A
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Field	Unknown	PDF	N/A
SpaceByte: Towards Deleting Tokenization from Large Language Modeling	Unknown	PDF	N/A
Oracle-Efficient Reinforcement Learning for Max Value Ensembles	Unknown	PDF	N/A
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance	Unknown	PDF	N/A
KOALA: Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis	Unknown	PDF	N/A
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass	Unknown	PDF	N/A
Accelerating Blockwise Parallel Language Models with Draft Refinement	Unknown	PDF	N/A
Banded Square Root Matrix Factorization for Differentially Private Model Training	Unknown	PDF	N/A
Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control	Unknown	PDF	N/A
DiffuPac: Contextual Mimicry in Adversarial Packets Generation via Diffusion Model	Unknown	PDF	N/A
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?	Unknown	PDF	N/A
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation	Unknown	PDF	N/A
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models	Unknown	PDF	N/A
Information-theoretic Limits of Online Classification with Noisy Labels	Unknown	PDF	N/A
Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits	Unknown	PDF	N/A
Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time	Unknown	PDF	N/A
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models	Unknown	PDF	N/A
Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks	Unknown	PDF	N/A
Noise Contrastive Alignment of Language Models with Explicit Rewards	Unknown	PDF	N/A
Why the Metric Backbone Preserves Community Structure	Unknown	PDF	N/A
Bayesian Optimization of Functions over Node Subsets in Graphs	Unknown	PDF	N/A
The Minimax Rate of HSIC Estimation for Translation-Invariant Kernels	Unknown	PDF	N/A
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models	Unknown	PDF	N/A
CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting	Unknown	PDF	N/A
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models	Unknown	PDF	N/A
Adversarial Schrödinger Bridge Matching	Unknown	PDF	N/A
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning	Unknown	PDF	N/A
Proximal Causal Inference With Text Data	Unknown	PDF	N/A
Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression	Unknown	PDF	N/A
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning	Unknown	PDF	N/A
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics	Unknown	PDF	N/A
A Best-of-both-worlds Algorithm for Bandits with Delayed Feedback with Robustness to Excessive Delays	Unknown	PDF	N/A
Robot Policy Learning with Temporal Optimal Transport Reward	Unknown	PDF	N/A
Non-geodesically-convex optimization in the Wasserstein space	Unknown	PDF	N/A
Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval	Unknown	PDF	N/A
On provable privacy vulnerabilities of graph representations	Unknown	PDF	N/A
Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction	Unknown	PDF	N/A
Association Pattern-aware Fusion for Biological Entity Relationship Prediction	Unknown	PDF	N/A
Towards Principled Graph Transformers	Unknown	PDF	N/A
Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search	Unknown	PDF	N/A
Cross-Modality Perturbation Synergy Attack for Person Re-identification	Unknown	PDF	N/A
MAC Advice for facility location mechanism design	Unknown	PDF	N/A
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval	Unknown	PDF	N/A
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects	Unknown	PDF	N/A
Towards Effective Planning Strategies for Dynamic Opinion Networks	Unknown	PDF	N/A
A Kernel Perspective on Distillation-based Collaborative Learning	Unknown	PDF	N/A
Beyond Accuracy: Tracking more like Human via Visual Search	Unknown	PDF	N/A
Rule Extrapolation in Language Modeling: A Study of Compositional Generalization on OOD Prompts	Unknown	PDF	N/A
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering	Unknown	PDF	N/A
ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models	Unknown	PDF	N/A
MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models	Unknown	PDF	N/A
eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling	Unknown	PDF	N/A
Tolerant Algorithms for Learning with Arbitrary Covariate Shift	Unknown	PDF	N/A
Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation	Unknown	PDF	N/A
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line	Unknown	PDF	N/A
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning	Unknown	PDF	N/A
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks	Unknown	PDF	N/A
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections	Unknown	PDF	N/A
Learning 1D Causal Visual Representation with De-focus Attention Networks	Unknown	PDF	N/A
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning	Unknown	PDF	N/A
Paths to Equilibrium in Games	Unknown	PDF	N/A
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning	Unknown	PDF	N/A
Provable Partially Observable Reinforcement Learning with Privileged Information	Unknown	PDF	N/A
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?	Unknown	PDF	N/A
Optimal Classification under Performative Distribution Shift	Unknown	PDF	N/A
FedAvP: Augment Local Data via Shared Policy in Federated Learning	Unknown	PDF	N/A
Identifiability Guarantees for Causal Disentanglement from Purely Observational Data	Unknown	PDF	N/A
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention	Unknown	PDF	N/A
Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling	Unknown	PDF	N/A
Building a stable classifier with the inflated argmax	Unknown	PDF	N/A
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits	Unknown	PDF	N/A
A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training	Unknown	PDF	N/A
How to Boost Any Loss Function	Unknown	PDF	N/A
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation	Unknown	PDF	N/A
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization	Unknown	PDF	N/A
DePLM: Denoising Protein Language Models for Property Optimization	Unknown	PDF	N/A
Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems	Unknown	PDF	N/A
Analysis of Corrected Graph Convolutions	Unknown	PDF	N/A
Marrying Causal Representation Learning with Dynamical Systems for Science	Unknown	PDF	N/A
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization	Unknown	PDF	N/A
Active Classification with Few Queries under Misspecification	Unknown	PDF	N/A
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models	Unknown	PDF	N/A
Online Composite Optimization Between Stochastic and Adversarial Environments	Unknown	PDF	N/A
Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning	Unknown	PDF	N/A
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features	Unknown	PDF	N/A
Robust group and simultaneous inferences for high-dimensional single index model	Unknown	PDF	N/A
On the Worst Prompt Performance of Large Language Models	Unknown	PDF	N/A
Implicit Regularization of Decentralized Gradient Descent for Sparse Regression	Unknown	PDF	N/A
Scalable Kernel Inverse Optimization	Unknown	PDF	N/A
CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment	Unknown	PDF	N/A
Beyond Slow Signs in High-fidelity Model Extraction	Unknown	PDF	N/A
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning	Unknown	PDF	N/A
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning	Unknown	PDF	N/A
Quantifying the Gain in Weak-to-Strong Generalization	Unknown	PDF	N/A
Mirror and Preconditioned Gradient Descent in Wasserstein Space	Unknown	PDF	N/A
Geometry of naturalistic object representations in recurrent neural network models of working memory	Unknown	PDF	N/A
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning	Unknown	PDF	N/A
Natural Counterfactuals With Necessary Backtracking	Unknown	PDF	N/A
Scaling laws for learning with real and surrogate data	Unknown	PDF	N/A
The Power of Hard Attention Transformers on Data Sequences: A formal language theoretic perspective	Unknown	PDF	N/A
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection	Unknown	PDF	N/A
Neural Residual Diffusion Models for Deep Scalable Vision Generation	Unknown	PDF	N/A
Enhancing LLM Reasoning via Vision-Augmented Prompting	Unknown	PDF	N/A
Discrete Dictionary-based Decomposition Layer for Structured Representation Learning	Unknown	PDF	N/A
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads	Unknown	PDF	N/A
Parameter-Inverted Image Pyramid Networks	Unknown	PDF	N/A
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain	Unknown	PDF	N/A
Understanding the Role of Equivariance in Self-supervised Learning	Unknown	PDF	N/A
Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle	Unknown	PDF	N/A
Robustly overfitting latents for flexible neural image compression	Unknown	PDF	N/A
Harmonizing Stochasticity and Determinism: Scene-responsive Diverse Human Motion Prediction	Unknown	PDF	N/A
DeTrack: In-model Latent Denoising Learning for Visual Object Tracking	Unknown	PDF	N/A
Dual-Diffusion for Binocular 3D Human Pose Estimation	Unknown	PDF	N/A
Meta-Diffu$B$: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-Exploration	Unknown	PDF	N/A
Why Warmup the Learning Rate? Underlying Mechanisms and Improvements	Unknown	PDF	N/A
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents	Unknown	PDF	N/A
MeLLoC: Lossless Compression with High-order Mechanism Learning	Unknown	PDF	N/A
AID: Attention Interpolation of Text-to-Image Diffusion	Unknown	PDF	N/A
Taming Generative Diffusion Prior for Universal Blind Image Restoration	Unknown	PDF	N/A
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods	Unknown	PDF	N/A
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions	Unknown	PDF	N/A
Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond	Unknown	PDF	N/A
Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation	Unknown	PDF	N/A
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning	Unknown	PDF	N/A
When does perceptual alignment benefit vision representations?	Unknown	PDF	N/A
Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport	Unknown	PDF	N/A
Adaptive Experimentation When You Can't Experiment	Unknown	PDF	N/A
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment	Unknown	PDF	N/A
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control	Unknown	PDF	N/A
UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction	Unknown	PDF	N/A
How Diffusion Models Learn to Factorize and Compose	Unknown	PDF	N/A
On scalable oversight with weak LLMs judging strong LLMs	Unknown	PDF	N/A
On the Comparison between Multi-modal and Single-modal Contrastive Learning	Unknown	PDF	N/A
Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising	Unknown	PDF	N/A
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes	Unknown	PDF	N/A
Abrupt Learning in Transformers: A Case Study on Matrix Completion	Unknown	PDF	N/A
Honor Among Bandits: No-Regret Learning for Online Fair Division	Unknown	PDF	N/A
M$^3$GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation	Unknown	PDF	N/A
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes	Unknown	PDF	N/A
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements	Unknown	PDF	N/A
DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning	Unknown	PDF	N/A
Saliency-driven Experience Replay for Continual Learning	Unknown	PDF	N/A
Ordering-Based Causal Discovery for Linear and Nonlinear Relations	Unknown	PDF	N/A
CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics	Unknown	PDF	N/A
Perplexity-aware Correction for Robust Alignment with Noisy Preferences	Unknown	PDF	N/A
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction	Unknown	PDF	N/A
Can large language models explore in-context?	Unknown	PDF	N/A
Geometric Trajectory Diffusion Models	Unknown	PDF	N/A
Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer	Unknown	PDF	N/A
Mitigating Spurious Correlations via Disagreement Probability	Unknown	PDF	N/A
Zero-Shot Transfer of Neural ODEs	Unknown	PDF	N/A
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach	Unknown	PDF	N/A
The GAN is dead; long live the GAN! A Modern GAN Baseline	Unknown	PDF	N/A
Improved Guarantees for Fully Dynamic $k$-Center Clustering with Outliers in General Metric Spaces	Unknown	PDF	N/A
HGDL: Heterogeneous Graph Label Distribution Learning	Unknown	PDF	N/A
Improved Sample Complexity Bounds for Diffusion Model Training	Unknown	PDF	N/A
When is Multicalibration Post-Processing Necessary?	Unknown	PDF	N/A
DenoiseRep: Denoising Model for Representation Learning	Unknown	PDF	N/A
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control	Unknown	PDF	N/A
GACL: Exemplar-Free Generalized Analytic Continual Learning	Unknown	PDF	N/A
Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration	Unknown	PDF	N/A
Linear Causal Bandits: Unknown Graph and Soft Interventions	Unknown	PDF	N/A
Scaling Laws in Linear Regression: Compute, Parameters, and Data	Unknown	PDF	N/A
Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation	Unknown	PDF	N/A
Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation	Unknown	PDF	N/A
Accelerating Transformers with Spectrum-Preserving Token Merging	Unknown	PDF	N/A
Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss	Unknown	PDF	N/A
Group Robust Preference Optimization in Reward-free RLHF	Unknown	PDF	N/A
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations	Unknown	PDF	N/A
Reinforcement Learning Guided Semi-Supervised Learning	Unknown	PDF	N/A
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models	Unknown	PDF	N/A
Mutual Information Estimation via $f$-Divergence and Data Derangements	Unknown	PDF	N/A
Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding	Unknown	PDF	N/A
Continual Audio-Visual Sound Separation	Unknown	PDF	N/A
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition	Unknown	PDF	N/A
Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation	Unknown	PDF	N/A
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation	Unknown	PDF	N/A
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers	Unknown	PDF	N/A
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices	Unknown	PDF	N/A
ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis	Unknown	PDF	N/A
LoQT: Low-Rank Adapters for Quantized Pretraining	Unknown	PDF	N/A
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuli	Unknown	PDF	N/A
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference	Unknown	PDF	N/A
Gaussian Process Bandits for Top-k Recommendations	Unknown	PDF	N/A
Second-order forward-mode optimization of recurrent neural networks for neuroscience	Unknown	PDF	N/A
LoD-Loc: Aerial Visual Localization using LoD 3D Map with Neural Wireframe Alignment	Unknown	PDF	N/A
Fundamental Convergence Analysis of Sharpness-Aware Minimization	Unknown	PDF	N/A
MADiff: Offline Multi-agent Learning with Diffusion Models	Unknown	PDF	N/A
Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets	Unknown	PDF	N/A
On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries	Unknown	PDF	N/A
An End-To-End Graph Attention Network Hashing for Cross-Modal Retrieval	Unknown	PDF	N/A
Near-Optimality of Contrastive Divergence Algorithms	Unknown	PDF	N/A
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training	Unknown	PDF	N/A
FashionR2R: Texture-preserving Rendered-to-Real Image Translation with Diffusion Models	Unknown	PDF	N/A
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning	Unknown	PDF	N/A
Iteration Head: A Mechanistic Study of Chain-of-Thought	Unknown	PDF	N/A
Leveraging partial stragglers within gradient coding	Unknown	PDF	N/A
Learning rigid-body simulators over implicit shapes for large-scale scenes and vision	Unknown	PDF	N/A
Learning Optimal Tax Design in Nonatomic Congestion Games	Unknown	PDF	N/A
Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective	Unknown	PDF	N/A
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution	Unknown	PDF	N/A
SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening	Unknown	PDF	N/A
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection	Unknown	PDF	N/A
Imitating Language via Scalable Inverse Reinforcement Learning	Unknown	PDF	N/A
Rule Based Rewards for Language Model Safety	Unknown	PDF	N/A
A Gradient Accumulation Method for Dense Retriever under Memory Constraint	Unknown	PDF	N/A
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs	Unknown	PDF	N/A
Safe Exploitative Play with Untrusted Type Beliefs	Unknown	PDF	N/A
DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion	Unknown	PDF	N/A
LIVE: Learnable In-Context Vector for Visual Question Answering	Unknown	PDF	N/A
Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds	Unknown	PDF	N/A
Toward Dynamic Non-Line-of-Sight Imaging with Mamba Enforced Temporal Consistency	Unknown	PDF	N/A
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models	Unknown	PDF	N/A
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard	Unknown	PDF	N/A
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus	Unknown	PDF	N/A
Cloud Object Detector Adaptation by Integrating Different Source Knowledge	Unknown	PDF	N/A
PhyRecon: Physically Plausible Neural Scene Reconstruction	Unknown	PDF	N/A
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts	Unknown	PDF	N/A
Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques	Unknown	PDF	N/A
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models	Unknown	PDF	N/A
Understanding Model Selection for Learning in Strategic Environments	Unknown	PDF	N/A
Parallelizing Model-based Reinforcement Learning Over the Sequence Length	Unknown	PDF	N/A
Bayes-optimal learning of an extensive-width neural network from quadratically many samples	Unknown	PDF	N/A
Qualitative Mechanism Independence	Unknown	PDF	N/A
Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training	Unknown	PDF	N/A
Trading Place for Space: Increasing Location Resolution Reduces Contextual Capacity in Hippocampal Codes	Unknown	PDF	N/A
What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration	Unknown	PDF	N/A
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models	Unknown	PDF	N/A
Gradients of Functions of Large Matrices	Unknown	PDF	N/A
Coarse-to-Fine Concept Bottleneck Models	Unknown	PDF	N/A
Image Understanding Makes for A Good Tokenizer for Image Generation	Unknown	PDF	N/A
Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack	Unknown	PDF	N/A
Collaborative Refining for Learning from Inaccurate Labels	Unknown	PDF	N/A
Bridging the Divide: Reconsidering Softmax and Linear Attention	Unknown	PDF	N/A
DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor	Unknown	PDF	N/A
HuRef: HUman-REadable Fingerprint for Large Language Models	Unknown	PDF	N/A
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning	Unknown	PDF	N/A
Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification	Unknown	PDF	N/A
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning	Unknown	PDF	N/A
Scaling the Codebook Size of VQ-GAN to 100,000 with a Utilization Rate of 99%	Unknown	PDF	N/A
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness	Unknown	PDF	N/A
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation	Unknown	PDF	N/A
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals	Unknown	PDF	N/A
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models	Unknown	PDF	N/A
QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation	Unknown	PDF	N/A
Exploring Adversarial Robustness of Deep State Space Models	Unknown	PDF	N/A
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise	Unknown	PDF	N/A
ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization	Unknown	PDF	N/A
Zero-Shot Tokenizer Transfer	Unknown	PDF	N/A
Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling	Unknown	PDF	N/A
Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence	Unknown	PDF	N/A
Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion	Unknown	PDF	N/A
Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments	Unknown	PDF	N/A
Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras	Unknown	PDF	N/A
VeXKD: The Versatile Integration of Cross-Modal Fusion and Knowledge Distillation for 3D Perception	Unknown	PDF	N/A
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis	Unknown	PDF	N/A
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers	Unknown	PDF	N/A
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data	Unknown	PDF	N/A
General bounds on the quality of Bayesian coresets	Unknown	PDF	N/A
Stepping on the Edge: Curvature Aware Learning Rate Tuners	Unknown	PDF	N/A
4Diffusion: Multi-view Video Diffusion Model for 4D Generation	Unknown	PDF	N/A
Parameter-free Clipped Gradient Descent Meets Polyak	Unknown	PDF	N/A
ID-to-3D: Expressive ID-guided 3D Heads via Score Distillation Sampling	Unknown	PDF	N/A
Automatically Learning Hybrid Digital Twins of Dynamical Systems	Unknown	PDF	N/A
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers	Unknown	PDF	N/A
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis	Unknown	PDF	N/A
Bayesian Strategic Classification	Unknown	PDF	N/A
Information Re-Organization Improves Reasoning in Large Language Models	Unknown	PDF	N/A
FUGAL: Feature-fortified Unrestricted Graph Alignment	Unknown	PDF	N/A
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models	Unknown	PDF	N/A
Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure	Unknown	PDF	N/A
Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images	Unknown	PDF	N/A
Deep Bayesian Active Learning for Preference Modeling in Large Language Models	Unknown	PDF	N/A
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport	Unknown	PDF	N/A
EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature	Unknown	PDF	N/A
MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability	Unknown	PDF	N/A
Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections	Unknown	PDF	N/A
Deep Equilibrium Algorithmic Reasoning	Unknown	PDF	N/A
Detecting and Measuring Confounding Using Causal Mechanism Shifts	Unknown	PDF	N/A
EM Distillation for One-step Diffusion Models	Unknown	PDF	N/A
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation	Unknown	PDF	N/A
Differentially Private Reinforcement Learning with Self-Play	Unknown	PDF	N/A
Universal Rates for Active Learning	Unknown	PDF	N/A
Latent Paraphrasing: Perturbation on Layers Improves Knowledge Injection in Language Models	Unknown	PDF	N/A
Monte Carlo Tree Search based Space Transfer for Black Box Optimization	Unknown	PDF	N/A
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators	Unknown	PDF	N/A
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration	Unknown	PDF	N/A
LaSCal: Label-Shift Calibration without target labels	Unknown	PDF	N/A
Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation	Unknown	PDF	N/A
From Biased to Unbiased Dynamics: An Infinitesimal Generator Approach	Unknown	PDF	N/A
Confident Natural Policy Gradient for Local Planning in $q_\pi$-realizable Constrained MDPs	Unknown	PDF	N/A
What type of inference is planning?	Unknown	PDF	N/A
A two-scale Complexity Measure for Deep Learning Models	Unknown	PDF	N/A
How Do Large Language Models Acquire Factual Knowledge During Pretraining?	Unknown	PDF	N/A
Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection	Unknown	PDF	N/A
MicroAdam: Accurate Adaptive Optimization with Low Space Overhead and Provable Convergence	Unknown	PDF	N/A
Fundamental Limits of Prompt Compression: A Rate-Distortion Framework for Black-Box Language Models	Unknown	PDF	N/A
DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation	Unknown	PDF	N/A
Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition	Unknown	PDF	N/A
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers	Unknown	PDF	N/A
High-dimensional (Group) Adversarial Training in Linear Regression	Unknown	PDF	N/A
Randomized Truthful Auctions with Learning Agents	Unknown	PDF	N/A
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space Model	Unknown	PDF	N/A
Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear $q^\pi$-Realizability and Concentrability	Unknown	PDF	N/A
Boosted Conformal Prediction Intervals	Unknown	PDF	N/A
Idiographic Personality Gaussian Process for Psychological Assessment	Unknown	PDF	N/A
UniSDF: Unifying Neural Representations for High-Fidelity 3D Reconstruction of Complex Scenes with Reflections	Unknown	PDF	N/A
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation	Unknown	PDF	N/A
Ordered Momentum for Asynchronous SGD	Unknown	PDF	N/A
Targeted Sequential Indirect Experiment Design	Unknown	PDF	N/A
An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching	Unknown	PDF	N/A
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement	Unknown	PDF	N/A
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms	Unknown	PDF	N/A
MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization	Unknown	PDF	N/A
Federated Graph Learning for Cross-Domain Recommendation	Unknown	PDF	N/A
Benign overfitting in leaky ReLU networks with moderate input dimension	Unknown	PDF	N/A
Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces	Unknown	PDF	N/A
Frequency-aware Generative Models for Multivariate Time Series Imputation	Unknown	PDF	N/A
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models	Unknown	PDF	N/A
Distribution-Aware Data Expansion with Diffusion Models	Unknown	PDF	N/A
Exocentric-to-Egocentric Video Generation	Unknown	PDF	N/A
Rapid Plug-in Defenders	Unknown	PDF	N/A
Improved learning rates in multi-unit uniform price auctions	Unknown	PDF	N/A
Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image	Unknown	PDF	N/A
The Value of Reward Lookahead in Reinforcement Learning	Unknown	PDF	N/A
Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization	Unknown	PDF	N/A
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images	Unknown	PDF	N/A
Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning	Unknown	PDF	N/A
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization	Unknown	PDF	N/A
A Tractable Inference Perspective of Offline RL	Unknown	PDF	N/A
State Space Models on Temporal Graphs: A First-Principles Study	Unknown	PDF	N/A
Variational Flow Matching for Graph Generation	Unknown	PDF	N/A
AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations	Unknown	PDF	N/A
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees	Unknown	PDF	N/A
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models	Unknown	PDF	N/A
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining	Unknown	PDF	N/A
DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models	Unknown	PDF	N/A
Faster Repeated Evasion Attacks in Tree Ensembles	Unknown	PDF	N/A
Cross-modal Representation Flattening for Multi-modal Domain Generalization	Unknown	PDF	N/A
Auditing Local Explanations is Hard	Unknown	PDF	N/A
Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning	Unknown	PDF	N/A
Interventionally Consistent Surrogates for Complex Simulation Models	Unknown	PDF	N/A
Regression under demographic parity constraints via unlabeled post-processing	Unknown	PDF	N/A
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels	Unknown	PDF	N/A
Renovating Names in Open-Vocabulary Segmentation Benchmarks	Unknown	PDF	N/A
Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse	Unknown	PDF	N/A
Uncovering Safety Risks of Large Language Models through Concept Activation Vector	Unknown	PDF	N/A
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models	Unknown	PDF	N/A
DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach	Unknown	PDF	N/A
EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing	Unknown	PDF	N/A
Outlier-Robust Distributionally Robust Optimization via Unbalanced Optimal Transport	Unknown	PDF	N/A
FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features	Unknown	PDF	N/A
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation	Unknown	PDF	N/A
Learning Where to Edit Vision Transformers	Unknown	PDF	N/A
Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters	Unknown	PDF	N/A
BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning	Unknown	PDF	N/A
Spiking Graph Neural Network on Riemannian Manifolds	Unknown	PDF	N/A
CoVoMix: Advancing Zero-Shot Speech Generation for Human-like Multi-talker Conversations	Unknown	PDF	N/A
Weak Supervision Performance Evaluation via Partial Identification	Unknown	PDF	N/A
PrivCirNet: Efficient Private Inference via Block Circulant Transformation	Unknown	PDF	N/A
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning	Unknown	PDF	N/A
PageRank Bandits for Link Prediction	Unknown	PDF	N/A
Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis	Unknown	PDF	N/A
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner	Unknown	PDF	N/A
Reproducibility of predictive networks for mouse visual cortex	Unknown	PDF	N/A
Balancing Context Length and Mixing Times for Reinforcement Learning at Scale	Unknown	PDF	N/A
LoRA-GA: Low-Rank Adaptation with Gradient Approximation	Unknown	PDF	N/A
Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models	Unknown	PDF	N/A
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model	Unknown	PDF	N/A
TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering	Unknown	PDF	N/A
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP	Unknown	PDF	N/A
Nearly Minimax Optimal Submodular Maximization with Bandit Feedback	Unknown	PDF	N/A
Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach	Unknown	PDF	N/A
A Topology-aware Graph Coarsening Framework for Continual Graph Learning	Unknown	PDF	N/A
SGLang: Efficient Execution of Structured Language Model Programs	Unknown	PDF	N/A
Pipeline Parallelism with Controllable Memory	Unknown	PDF	N/A
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm	Unknown	PDF	N/A
Learning Generalized Linear Programming Value Functions	Unknown	PDF	N/A
Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation	Unknown	PDF	N/A
ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model	Unknown	PDF	N/A
Contextual Bilevel Reinforcement Learning for Incentive Alignment	Unknown	PDF	N/A
Relational Verification Leaps Forward with RABBit	Unknown	PDF	N/A
Derivative-enhanced Deep Operator Network	Unknown	PDF	N/A
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients	Unknown	PDF	N/A
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context	Unknown	PDF	N/A
Adversarially Robust Decision Transformer	Unknown	PDF	N/A
Efficient Reinforcement Learning by Discovering Neural Pathways	Unknown	PDF	N/A
Exploiting Representation Curvature for Boundary Detection in Time Series	Unknown	PDF	N/A
Interpretable Concept-Based Memory Reasoning	Unknown	PDF	N/A
Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers	Unknown	PDF	N/A
IPO: Interpretable Prompt Optimization for Vision-Language Models	Unknown	PDF	N/A
Estimating Epistemic and Aleatoric Uncertainty with a Single Model	Unknown	PDF	N/A
Query-Efficient Correlation Clustering with Noisy Oracle	Unknown	PDF	N/A
Safety through feedback in Constrained RL	Unknown	PDF	N/A
Embedding-Aligned Language Models	Unknown	PDF	N/A
Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs	Unknown	PDF	N/A
Disentangling Linear Quadratic Control with Untrusted ML Predictions	Unknown	PDF	N/A
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning	Unknown	PDF	N/A
Aligning Diffusion Behaviors with Q-functions for Efficient Continuous Control	Unknown	PDF	N/A
CHASE: Learning Convex Hull Adaptive Shift for Skeleton-based Multi-Entity Action Recognition	Unknown	PDF	N/A
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning	Unknown	PDF	N/A
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis	Unknown	PDF	N/A
Personalized Federated Learning via Feature Distribution Adaptation	Unknown	PDF	N/A
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference	Unknown	PDF	N/A
Fairness-Aware Estimation of Graphical Models	Unknown	PDF	N/A
PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications	Unknown	PDF	N/A
Graph Learning for Numeric Planning	Unknown	PDF	N/A
Generalized Protein Pocket Generation with Prior-Informed Flow Matching	Unknown	PDF	N/A
Invariant subspaces and PCA in nearly matrix multiplication time	Unknown	PDF	N/A
Functional Bilevel Optimization for Machine Learning	Unknown	PDF	N/A
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images	Unknown	PDF	N/A
Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion	Unknown	PDF	N/A
Mixture of Link Predictors on Graphs	Unknown	PDF	N/A
MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding	Unknown	PDF	N/A
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning	Unknown	PDF	N/A
Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits	Unknown	PDF	N/A
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection	Unknown	PDF	N/A
Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations	Unknown	PDF	N/A
The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize	Unknown	PDF	N/A
High-probability complexity bounds for stochastic non-convex minimax optimization	Unknown	PDF	N/A
Visual Data Diagnosis and Debiasing with Concept Graphs	Unknown	PDF	N/A
Linear Uncertainty Quantification of Graphical Model Inference	Unknown	PDF	N/A
Continuous Product Graph Neural Networks	Unknown	PDF	N/A
Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL	Unknown	PDF	N/A
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks	Unknown	PDF	N/A
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts	Unknown	PDF	N/A
How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks	Unknown	PDF	N/A
Semi-Random Matrix Completion via Flow-Based Adaptive Reweighting	Unknown	PDF	N/A
Pure Message Passing Can Estimate Common Neighbor for Link Prediction	Unknown	PDF	N/A
When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback	Unknown	PDF	N/A
What If the Input is Expanded in OOD Detection?	Unknown	PDF	N/A
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models	Unknown	PDF	N/A
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length	Unknown	PDF	N/A
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation	Unknown	PDF	N/A
A Combinatorial Algorithm for the Semi-Discrete Optimal Transport Problem	Unknown	PDF	N/A
TAIA: Large Language Models are Out-of-Distribution Data Learners	Unknown	PDF	N/A
Goal Reduction with Loop-Removal Accelerates RL and Models Human Brain Activity in Goal-Directed Learning	Unknown	PDF	N/A
Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments	Unknown	PDF	N/A
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method	Unknown	PDF	N/A
Conformal Inverse Optimization	Unknown	PDF	N/A
SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification	Unknown	PDF	N/A
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map	Unknown	PDF	N/A
A Cat Is A Cat (Not A Dog!): Unraveling Information Mix-ups in Text-to-Image Encoders through Causal Analysis and Embedding Optimization	Unknown	PDF	N/A
Acoustic Volume Rendering for Neural Impulse Response Fields	Unknown	PDF	N/A
Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image	Unknown	PDF	N/A
Cross-model Control: Improving Multiple Large Language Models in One-time Training	Unknown	PDF	N/A
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors	Unknown	PDF	N/A
A Full-duplex Speech Dialogue Scheme Based On Large Language Model	Unknown	PDF	N/A
Can Learned Optimization Make Reinforcement Learning Less Difficult?	Unknown	PDF	N/A
CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks	Unknown	PDF	N/A
Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization	Unknown	PDF	N/A
Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models	Unknown	PDF	N/A
Preference Learning Algorithms Do Not Learn Preference Rankings	Unknown	PDF	N/A
Discrete-state Continuous-time Diffusion for Graph Generation	Unknown	PDF	N/A
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing	Unknown	PDF	N/A
DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos	Unknown	PDF	N/A
The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models	Unknown	PDF	N/A
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories	Unknown	PDF	N/A
DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models	Unknown	PDF	N/A
The tree autoencoder model, with application to hierarchical data visualization	Unknown	PDF	N/A
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees	Unknown	PDF	N/A
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization	Unknown	PDF	N/A
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling	Unknown	PDF	N/A
Unity by Diversity: Improved Representation Learning for Multimodal VAEs	Unknown	PDF	N/A
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature	Unknown	PDF	N/A
Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery	Unknown	PDF	N/A
SlimSAM: 0.1% Data Makes Segment Anything Slim	Unknown	PDF	N/A
A Pairwise Pseudo-likelihood Approach for Matrix Completion with Informative Missingness	Unknown	PDF	N/A
MemVLT: Vision-Language Tracking with Adaptive Memory-based Prompts	Unknown	PDF	N/A
DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning	Unknown	PDF	N/A
NeoRL: Efficient Exploration for Nonepisodic RL	Unknown	PDF	N/A
Recurrent neural network dynamical systems for biological vision	Unknown	PDF	N/A
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models	Unknown	PDF	N/A
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution	Unknown	PDF	N/A
CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos	Unknown	PDF	N/A
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models	Unknown	PDF	N/A
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach	Unknown	PDF	N/A
CriticEval: Evaluating Large-scale Language Model as Critic	Unknown	PDF	N/A
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data	Unknown	PDF	N/A
Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance	Unknown	PDF	N/A
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching	Unknown	PDF	N/A
OneBit: Towards Extremely Low-bit Large Language Models	Unknown	PDF	N/A
Learn more, but bother less: parameter efficient continual learning	Unknown	PDF	N/A
OPUS: Occupancy Prediction Using a Sparse Set	Unknown	PDF	N/A
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models	Unknown	PDF	N/A
Block Sparse Bayesian Learning: A Diversified Scheme	Unknown	PDF	N/A
Tri-Level Navigator: LLM-Empowered Tri-Level Learning for Time Series OOD Generalization	Unknown	PDF	N/A
Images that Sound: Composing Images and Sounds on a Single Canvas	Unknown	PDF	N/A
CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors	Unknown	PDF	N/A
On the Sparsity of the Strong Lottery Ticket Hypothesis	Unknown	PDF	N/A
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient	Unknown	PDF	N/A
Learning Mixtures of Unknown Causal Interventions	Unknown	PDF	N/A
Diffusion PID: Interpreting Diffusion via Partial Information Decomposition	Unknown	PDF	N/A
Hierarchical Federated Learning with Multi-Timescale Gradient Correction	Unknown	PDF	N/A
Bandits with Ranking Feedback	Unknown	PDF	N/A
TopoFR: A Closer Look at Topology Alignment on Face Recognition	Unknown	PDF	N/A
On Differentially Private Subspace Estimation in a Distribution-Free Setting	Unknown	PDF	N/A
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization	Unknown	PDF	N/A
On Socially Fair Low-Rank Approximation and Column Subset Selection	Unknown	PDF	N/A
Segment Anything without Supervision	Unknown	PDF	N/A
Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading	Unknown	PDF	N/A
Symmetric Linear Bandits with Hidden Symmetry	Unknown	PDF	N/A
Trajectory Flow Matching with Applications to Clinical Time Series Modelling	Unknown	PDF	N/A
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control	Unknown	PDF	N/A
SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation	Unknown	PDF	N/A
Evaluating the World Model Implicit in a Generative Model	Unknown	PDF	N/A
Discovering plasticity rules that organize and maintain neural circuits	Unknown	PDF	N/A
Learning World Models for Unconstrained Goal Navigation	Unknown	PDF	N/A
Learning Elastic Costs to Shape Monge Displacements	Unknown	PDF	N/A
Symmetry-Informed Governing Equation Discovery	Unknown	PDF	N/A
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques	Unknown	PDF	N/A
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference	Unknown	PDF	N/A
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression	Unknown	PDF	N/A
Differentially Private Graph Diffusion with Applications in Personalized PageRanks	Unknown	PDF	N/A
TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy	Unknown	PDF	N/A
Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control	Unknown	PDF	N/A
Is Multiple Object Tracking a Matter of Specialization?	Unknown	PDF	N/A
Streaming Long Video Understanding with Large Language Models	Unknown	PDF	N/A
VCR-GauS: View Consistent Depth-Normal Regularizer for Gaussian Surface Reconstruction	Unknown	PDF	N/A
Using Noise to Infer Aspects of Simplicity Without Learning	Unknown	PDF	N/A
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps	Unknown	PDF	N/A
Don't Look Twice: Faster Video Transformers with Run-Length Tokenization	Unknown	PDF	N/A
Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models	Unknown	PDF	N/A
Learning Frequency-Adapted Vision Foundation Model for Domain Generalized Semantic Segmentation	Unknown	PDF	N/A
MALT Powers Up Adversarial Attacks	Unknown	PDF	N/A
VeLoRA: Memory Efficient Training using Rank-1 Sub-Token Projections	Unknown	PDF	N/A
Fair Allocation in Dynamic Mechanism Design	Unknown	PDF	N/A
Opponent Modeling with In-context Search	Unknown	PDF	N/A
Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness	Unknown	PDF	N/A
VisMin: Visual Minimal-Change Understanding	Unknown	PDF	N/A
Causal Contrastive Learning for Counterfactual Regression Over Time	Unknown	PDF	N/A
VQ-Map: Bird's-Eye-View Map Layout Estimation in Tokenized Discrete Space via Vector Quantization	Unknown	PDF	N/A
Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination	Unknown	PDF	N/A
Towards training digitally-tied analog blocks via hybrid gradient computation	Unknown	PDF	N/A
On the Complexity of Identification in Linear Structural Causal Models	Unknown	PDF	N/A
Learning Discrete Concepts in Latent Hierarchical Models	Unknown	PDF	N/A
One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos	Unknown	PDF	N/A
Fast yet Safe: Early-Exiting with Risk Control	Unknown	PDF	N/A
Challenges of Generating Structurally Diverse Graphs	Unknown	PDF	N/A
Guiding a Diffusion Model with a Bad Version of Itself	Unknown	PDF	N/A
Multistable Shape from Shading Emerges from Patch Diffusion	Unknown	PDF	N/A
OnlineTAS: An Online Baseline for Temporal Action Segmentation	Unknown	PDF	N/A
Decoupled Kullback-Leibler Divergence Loss	Unknown	PDF	N/A
Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models	Unknown	PDF	N/A
Fast Encoder-Based 3D from Casual Videos via Point Track Processing	Unknown	PDF	N/A
Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception	Unknown	PDF	N/A
Self-Labeling the Job Shop Scheduling Problem	Unknown	PDF	N/A
Large Spatial Model: End-to-end Unposed Images to Semantic 3D	Unknown	PDF	N/A
A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding	Unknown	PDF	N/A
Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy	Unknown	PDF	N/A
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data	Unknown	PDF	N/A
Efficient $\Phi$-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games	Unknown	PDF	N/A
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation	Unknown	PDF	N/A
Nearly Tight Black-Box Auditing of Differentially Private Machine Learning	Unknown	PDF	N/A
ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping	Unknown	PDF	N/A
Convolutions and More as Einsum: A Tensor Network Perspective with Advances for Second-Order Methods	Unknown	PDF	N/A
Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation	Unknown	PDF	N/A
OW-VISCapTor: Abstractors for Open-World Video Instance Segmentation and Captioning	Unknown	PDF	N/A
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming	Unknown	PDF	N/A
No-Regret Bandit Exploration based on Soft Tree Ensemble Model	Unknown	PDF	N/A
One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation	Unknown	PDF	N/A
Fine-Tuning is Fine, if Calibrated	Unknown	PDF	N/A
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models	Unknown	PDF	N/A
Private Geometric Median	Unknown	PDF	N/A
Credit Attribution and Stable Compression	Unknown	PDF	N/A
Generative Forests	Unknown	PDF	N/A
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation	Unknown	PDF	N/A
Learning Truncated Causal History Model for Video Restoration	Unknown	PDF	N/A
Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders	Unknown	PDF	N/A
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation	Unknown	PDF	N/A
Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference	Unknown	PDF	N/A
DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning	Unknown	PDF	N/A
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation	Unknown	PDF	N/A
Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization	Unknown	PDF	N/A
IF-Font: Ideographic Description Sequence-Following Font Generation	Unknown	PDF	N/A
Learning Macroscopic Dynamics from Partial Microscopic Observations	Unknown	PDF	N/A
Axioms for AI Alignment from Human Feedback	Unknown	PDF	N/A
InversionView: A General-Purpose Method for Reading Information from Neural Activations	Unknown	PDF	N/A
DeiSAM: Segment Anything with Deictic Prompting	Unknown	PDF	N/A
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models	Unknown	PDF	N/A
Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction	Unknown	PDF	N/A
Online Weighted Paging with Unknown Weights	Unknown	PDF	N/A
An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem	Unknown	PDF	N/A
Many-shot Jailbreaking	Unknown	PDF	N/A
Can neural operators always be continuously discretized?	Unknown	PDF	N/A
Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences	Unknown	PDF	N/A
LeDex: Training LLMs to Better Self-Debug and Explain Code	Unknown	PDF	N/A
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models	Unknown	PDF	N/A
Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models	Unknown	PDF	N/A
Classification Diffusion Models: Revitalizing Density Ratio Estimation	Unknown	PDF	N/A
One-Shot Safety Alignment for Large Language Models via Optimal Dualization	Unknown	PDF	N/A
Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens	Unknown	PDF	N/A
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function	Unknown	PDF	N/A
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models	Unknown	PDF	N/A
MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models	Unknown	PDF	N/A
Dissecting Query-Key Interaction in Vision Transformers	Unknown	PDF	N/A
Constrained Diffusion with Trust Sampling	Unknown	PDF	N/A
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement	Unknown	PDF	N/A
Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression	Unknown	PDF	N/A
Retrieval-Augmented Diffusion Models for Time Series Forecasting	Unknown	PDF	N/A
ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting	Unknown	PDF	N/A
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking	Unknown	PDF	N/A
FUSE: Fast Unified Simulation and Estimation for PDEs	Unknown	PDF	N/A
Molecule Design by Latent Prompt Transformer	Unknown	PDF	N/A
Geometric Exploitation for Indoor Panoramic Semantic Segmentation	Unknown	PDF	N/A
Hardness of Learning Neural Networks under the Manifold Hypothesis	Unknown	PDF	N/A
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models	Unknown	PDF	N/A
Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data	Unknown	PDF	N/A
Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron	Unknown	PDF	N/A
Noether's Razor: Learning Conserved Quantities	Unknown	PDF	N/A
Approximately Equivariant Neural Processes	Unknown	PDF	N/A
An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning	Unknown	PDF	N/A
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature Enhancement	Unknown	PDF	N/A
Nature-Inspired Local Propagation	Unknown	PDF	N/A
What matters when building vision-language models?	Unknown	PDF	N/A
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation	Unknown	PDF	N/A
HairFastGAN: Realistic and Robust Hair Transfer with a Fast Encoder-Based Approach	Unknown	PDF	N/A
Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data	Unknown	PDF	N/A
Learning Human-like Representations to Enable Learning Human Values	Unknown	PDF	N/A
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory	Unknown	PDF	N/A
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models	Unknown	PDF	N/A
Stochastic contextual bandits with graph feedback: from independence number to MAS number	Unknown	PDF	N/A
Optimal Algorithms for Augmented Testing of Discrete Distributions	Unknown	PDF	N/A
Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models	Unknown	PDF	N/A
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection	Unknown	PDF	N/A
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective	Unknown	PDF	N/A
SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices	Unknown	PDF	N/A
Out-of-Distribution Detection with a Single Unconditional Diffusion Model	Unknown	PDF	N/A
Reinforced Cross-Domain Knowledge Distillation on Time Series Data	Unknown	PDF	N/A
Transductive Active Learning: Theory and Applications	Unknown	PDF	N/A
Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference	Unknown	PDF	N/A
Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions	Unknown	PDF	N/A
TransAgent: Transfer Vision-Language Foundation Models with Heterogeneous Agent Collaboration	Unknown	PDF	N/A
AirSketch: Generative Motion to Sketch	Unknown	PDF	N/A
Revisiting the Integration of Convolution and Attention for Vision Backbone	Unknown	PDF	N/A
Conditional Outcome Equivalence: A Quantile Alternative to CATE	Unknown	PDF	N/A
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness	Unknown	PDF	N/A
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers	Unknown	PDF	N/A
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously	Unknown	PDF	N/A
Protecting Your LLMs with Information Bottleneck	Unknown	PDF	N/A
On the Necessity of Collaboration for Online Model Selection with Decentralized Data	Unknown	PDF	N/A
Training Compute-Optimal Protein Language Models	Unknown	PDF	N/A
Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation	Unknown	PDF	N/A
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data	Unknown	PDF	N/A
PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices	Unknown	PDF	N/A
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut	Unknown	PDF	N/A
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood	Unknown	PDF	N/A
Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction	Unknown	PDF	N/A
Convergence Analysis of Split Federated Learning on Heterogeneous Data	Unknown	PDF	N/A
Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery	Unknown	PDF	N/A
FIFO-Diffusion: Generating Infinite Videos from Text without Training	Unknown	PDF	N/A
Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization	Unknown	PDF	N/A
The Fine-Grained Complexity of Gradient Computation for Training Large Language Models	Unknown	PDF	N/A
Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations	Unknown	PDF	N/A
Learning to Edit Visual Programs with Self-Supervision	Unknown	PDF	N/A
Achieving Domain-Independent Certified Robustness via Knowledge Continuity	Unknown	PDF	N/A
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML	Unknown	PDF	N/A
GeoNLF: Geometry guided Pose-Free Neural LiDAR Fields	Unknown	PDF	N/A
CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework	Unknown	PDF	N/A
Measuring Dejavu Memorization Efficiently	Unknown	PDF	N/A
Learning from Uncertain Data: From Possible Worlds to Possible Models	Unknown	PDF	N/A
Going Beyond Heuristics by Imposing Policy Improvement as a Constraint	Unknown	PDF	N/A
Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes	Unknown	PDF	N/A
Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication	Unknown	PDF	N/A
Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient	Unknown	PDF	N/A
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control	Unknown	PDF	N/A
Can We Leave Deepfake Data Behind in Training Deepfake Detector?	Unknown	PDF	N/A
$\epsilon$-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise	Unknown	PDF	N/A
Learning Segmentation from Point Trajectories	Unknown	PDF	N/A
Average gradient outer product as a mechanism for deep neural collapse	Unknown	PDF	N/A
Revive Re-weighting in Imbalanced Learning by Density Ratio Estimation	Unknown	PDF	N/A
High Rank Path Development: an approach to learning the filtration of stochastic processes	Unknown	PDF	N/A
Can Language Models Learn to Skip Steps?	Unknown	PDF	N/A
Discovery of the Hidden World with Large Language Models	Unknown	PDF	N/A
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection	Unknown	PDF	N/A
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces	Unknown	PDF	N/A
Learning Spatially-Aware Language and Audio Embeddings	Unknown	PDF	N/A
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling	Unknown	PDF	N/A
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists	Unknown	PDF	N/A
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search	Unknown	PDF	N/A
CRAYM: Neural Field Optimization via Camera RAY Matching	Unknown	PDF	N/A
Batched Energy-Entropy acquisition for Bayesian Optimization	Unknown	PDF	N/A
Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization	Unknown	PDF	N/A
Iterative Methods via Locally Evolving Set Process	Unknown	PDF	N/A
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks	Unknown	PDF	N/A
Reflective Multi-Agent Collaboration based on Large Language Models	Unknown	PDF	N/A
A Sober Look at the Robustness of CLIPs to Spurious Features	Unknown	PDF	N/A
Incentivizing Quality Text Generation via Statistical Contracts	Unknown	PDF	N/A
RoPINN: Region Optimized Physics-Informed Neural Networks	Unknown	PDF	N/A
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective	Unknown	PDF	N/A
Real-Time Selection Under General Constraints via Predictive Inference	Unknown	PDF	N/A
MonoMAE: Enhancing Monocular 3D Detection through Depth-Aware Masked Autoencoders	Unknown	PDF	N/A
Stochastic Optimal Control Matching	Unknown	PDF	N/A
Implicit Bias of Mirror Flow on Separable Data	Unknown	PDF	N/A
Scaling White-Box Transformers for Vision	Unknown	PDF	N/A
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation	Unknown	PDF	N/A
Corruption-Robust Linear Bandits: Minimax Optimality and Gap-Dependent Misspecification	Unknown	PDF	N/A
The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks	Unknown	PDF	N/A
On the Ability of Developers' Training Data Preservation of Learnware	Unknown	PDF	N/A
A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness	Unknown	PDF	N/A
Unsupervised Object Detection with Theoretical Guarantees	Unknown	PDF	N/A
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions	Unknown	PDF	N/A
From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When	Unknown	PDF	N/A
Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning	Unknown	PDF	N/A
Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies	Unknown	PDF	N/A
Communication-Efficient Federated Group Distributionally Robust Optimization	Unknown	PDF	N/A
The Implicit Bias of Adam on Separable Data	Unknown	PDF	N/A
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning	Unknown	PDF	N/A
Feedback control guides credit assignment in recurrent neural networks	Unknown	PDF	N/A
Customized Multiple Clustering via Multi-Modal Subspace Proxy Learning	Unknown	PDF	N/A
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning	Unknown	PDF	N/A
Reasons and Solutions for the Decline in Model Performance after Editing	Unknown	PDF	N/A
Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks	Unknown	PDF	N/A
Scene Graph Generation with Role-Playing Large Language Models	Unknown	PDF	N/A
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning	Unknown	PDF	N/A
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation	Unknown	PDF	N/A
Learning diffusion at lightspeed	Unknown	PDF	N/A
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving	Unknown	PDF	N/A
Causal Discovery from Event Sequences by Local Cause-Effect Attribution	Unknown	PDF	N/A
In Pursuit of Causal Label Correlations for Multi-label Image Recognition	Unknown	PDF	N/A
Stepping Forward on the Last Mile	Unknown	PDF	N/A
AUC Maximization under Positive Distribution Shift	Unknown	PDF	N/A
Toward a Stable, Fair, and Comprehensive Evaluation of Object Hallucination in Large Vision-Language Models	Unknown	PDF	N/A
Diffusion-based Curriculum Reinforcement Learning	Unknown	PDF	N/A
Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation	Unknown	PDF	N/A
Learning Bregman Divergences with Application to Robustness	Unknown	PDF	N/A
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking	Unknown	PDF	N/A
Controlled maximal variability along with reliable performance in recurrent neural networks	Unknown	PDF	N/A
Binarized Diffusion Model for Image Super-Resolution	Unknown	PDF	N/A
Avoiding Undesired Future with Minimal Cost in Non-Stationary Environments	Unknown	PDF	N/A
Optimal Algorithms for Learning Partitions with Faulty Oracles	Unknown	PDF	N/A
Information-theoretic Generalization Analysis for Expected Calibration Error	Unknown	PDF	N/A
ReGS: Reference-based Controllable Scene Stylization with Gaussian Splatting	Unknown	PDF	N/A
PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting	Unknown	PDF	N/A
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations	Unknown	PDF	N/A
ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization	Unknown	PDF	N/A
XMask3D: Cross-modal Mask Reasoning for Open Vocabulary 3D Semantic Segmentation	Unknown	PDF	N/A
Guiding Neural Collapse: Optimising Towards the Nearest Simplex Equiangular Tight Frame	Unknown	PDF	N/A
Gated Inference Network: Inference and Learning State-Space Models	Unknown	PDF	N/A
Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation	Unknown	PDF	N/A
Learning diverse causally emergent representations from time series data	Unknown	PDF	N/A
Amortized Bayesian Experimental Design for Decision-Making	Unknown	PDF	N/A
A teacher-teacher framework for clinical language representation learning	Unknown	PDF	N/A
Deep Correlated Prompting for Visual Recognition with Missing Modalities	Unknown	PDF	N/A
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval	Unknown	PDF	N/A
Inference of Neural Dynamics Using Switching Recurrent Neural Networks	Unknown	PDF	N/A
Exploring Context Window of Large Language Models via Decomposed Positional Vectors	Unknown	PDF	N/A
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution	Unknown	PDF	N/A
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning	Unknown	PDF	N/A
TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning	Unknown	PDF	N/A
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints	Unknown	PDF	N/A
GraphCroc: Cross-Correlation Autoencoder for Graph Structural Reconstruction	Unknown	PDF	N/A
OxonFair: A Flexible Toolkit for Algorithmic Fairness	Unknown	PDF	N/A
A Separation in Heavy-Tailed Sampling: Gaussian vs. Stable Oracles for Proximal Samplers	Unknown	PDF	N/A
Toward Global Convergence of Gradient EM for Over-Paramterized Gaussian Mixture Models	Unknown	PDF	N/A
Learning Distributions on Manifolds with Free-Form Flows	Unknown	PDF	N/A
Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts	Unknown	PDF	N/A
On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks	Unknown	PDF	N/A
Molecule Generation with Fragment Retrieval Augmentation	Unknown	PDF	N/A
Persistent Homology for High-dimensional Data Based on Spectral Methods	Unknown	PDF	N/A
Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance?	Unknown	PDF	N/A
Testably Learning Polynomial Threshold Functions	Unknown	PDF	N/A
GAVEL: Generating Games via Evolution and Language Models	Unknown	PDF	N/A
Linking In-context Learning in Transformers to Human Episodic Memory	Unknown	PDF	N/A
Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning	Unknown	PDF	N/A
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning	Unknown	PDF	N/A
Contextual Multinomial Logit Bandits with General Value Functions	Unknown	PDF	N/A
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks	Unknown	PDF	N/A
Transferable Boltzmann Generators	Unknown	PDF	N/A
Quantum Deep Equilibrium Models	Unknown	PDF	N/A
Navigating Extremes: Dynamic Sparsity in Large Output Spaces	Unknown	PDF	N/A
Representation Noising: A Defence Mechanism Against Harmful Finetuning	Unknown	PDF	N/A
Communication Bounds for the Distributed Experts Problem	Unknown	PDF	N/A
Multi-Reward Best Policy Identification	Unknown	PDF	N/A
Parseval Regularization for Continual Reinforcement Learning	Unknown	PDF	N/A
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures	Unknown	PDF	N/A
Code Repair with LLMs gives an Exploration-Exploitation Tradeoff	Unknown	PDF	N/A
UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes	Unknown	PDF	N/A
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment	Unknown	PDF	N/A
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP	Unknown	PDF	N/A
Zero-shot Image Editing with Reference Imitation	Unknown	PDF	N/A
On Divergence Measures for Training GFlowNets	Unknown	PDF	N/A
MambaLRP: Explaining Selective State Space Sequence Models	Unknown	PDF	N/A
Large language model validity via enhanced conformal prediction methods	Unknown	PDF	N/A
Depth Anything V2	Unknown	PDF	N/A
Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack	Unknown	PDF	N/A
Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph	Unknown	PDF	N/A
Assembly Fuzzy Representation on Hypergraph for Open-Set 3D Object Retrieval	Unknown	PDF	N/A
Warm-starting Push-Relabel	Unknown	PDF	N/A
Segment, Shuffle, and Stitch: A Simple Layer for Improving Time-Series Representations	Unknown	PDF	N/A
When are dynamical systems learned from time series data statistically accurate?	Unknown	PDF	N/A
STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)	Unknown	PDF	N/A
FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation	Unknown	PDF	N/A
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality Regularization	Unknown	PDF	N/A
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise Regularization	Unknown	PDF	N/A
Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models	Unknown	PDF	N/A
Autobidder's Dilemma: Why More Sophisticated Autobidders Lead to Worse Auction Efficiency	Unknown	PDF	N/A
Efficiency of the First-Price Auction in the Autobidding World	Unknown	PDF	N/A
DiffusionPDE: Generative PDE-Solving under Partial Observation	Unknown	PDF	N/A
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics	Unknown	PDF	N/A
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction	Unknown	PDF	N/A
Learning Cut Generating Functions for Integer Programming	Unknown	PDF	N/A
GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching	Unknown	PDF	N/A
Distributed-Order Fractional Graph Operating Network	Unknown	PDF	N/A
Rad-NeRF: Ray-decoupled Training of Neural Radiance Field	Unknown	PDF	N/A
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection	Unknown	PDF	N/A
On the Computational Landscape of Replicable Learning	Unknown	PDF	N/A
Entrywise error bounds for low-rank approximations of kernel matrices	Unknown	PDF	N/A
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging	Unknown	PDF	N/A
Neural Conditional Probability for Uncertainty Quantification	Unknown	PDF	N/A
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards	Unknown	PDF	N/A
Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models	Unknown	PDF	N/A
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?	Unknown	PDF	N/A
MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models	Unknown	PDF	N/A
Parallelizing Linear Transformers with the Delta Rule over Sequence Length	Unknown	PDF	N/A
RCDN: Towards Robust Camera-Insensitivity Collaborative Perception via Dynamic Feature-based 3D Neural Modeling	Unknown	PDF	N/A
Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization	Unknown	PDF	N/A
KFNN: K-Free Nearest Neighbor For Crowdsourcing	Unknown	PDF	N/A
Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting	Unknown	PDF	N/A
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting	Unknown	PDF	N/A
LiT: Unifying LiDAR "Languages" with LiDAR Translator	Unknown	PDF	N/A
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis	Unknown	PDF	N/A
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models	Unknown	PDF	N/A
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer	Unknown	PDF	N/A
Homology Consistency Constrained Efficient Tuning for Vision-Language Models	Unknown	PDF	N/A
Template-free Articulated Gaussian Splatting for Real-time Reposable Dynamic View Synthesis	Unknown	PDF	N/A
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models	Unknown	PDF	N/A
Lumen: Unleashing Versatile Vision-Centric Capabilities of Large Multimodal Models	Unknown	PDF	N/A
BendVLM: Test-Time Debiasing of Vision-Language Embeddings	Unknown	PDF	N/A
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models	Unknown	PDF	N/A
Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent	Unknown	PDF	N/A
Understanding Information Storage and Transfer in Multi-Modal Large Language Models	Unknown	PDF	N/A
Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination	Unknown	PDF	N/A
Evaluation of Text-to-Video Generation Models: A Dynamics Perspective	Unknown	PDF	N/A
Prediction with Action: Visual Policy Learning via Joint Denoising Process	Unknown	PDF	N/A
UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond	Unknown	PDF	N/A
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference	Unknown	PDF	N/A
SyncVIS: Synchronized Video Instance Segmentation	Unknown	PDF	N/A
An Image is Worth 32 Tokens for Reconstruction and Generation	Unknown	PDF	N/A
DG-SLAM: Robust Dynamic Gaussian Splatting SLAM with Hybrid Pose Optimization	Unknown	PDF	N/A
Learning-Augmented Dynamic Submodular Maximization	Unknown	PDF	N/A
DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model	Unknown	PDF	N/A
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation	Unknown	PDF	N/A
Generalizablity of Memorization Neural Network	Unknown	PDF	N/A
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction	Unknown	PDF	N/A
Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models	Unknown	PDF	N/A
Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set	Unknown	PDF	N/A
Fast samplers for Inverse Problems in Iterative Refinement models	Unknown	PDF	N/A
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning	Unknown	PDF	N/A
On Softmax Direct Preference Optimization for Recommendation	Unknown	PDF	N/A
Identifiable Object-Centric Representation Learning via Probabilistic Slot Attention	Unknown	PDF	N/A
Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective	Unknown	PDF	N/A
What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights	Unknown	PDF	N/A
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning	Unknown	PDF	N/A
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation	Unknown	PDF	N/A
Task-Agnostic Machine-Learning-Assisted Inference	Unknown	PDF	N/A
End-to-End Video Semantic Segmentation in Adverse Weather using Fusion Blocks and Temporal-Spatial Teacher-Student Learning	Unknown	PDF	N/A
OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation	Unknown	PDF	N/A
Tight Rates for Bandit Control Beyond Quadratics	Unknown	PDF	N/A
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits	Unknown	PDF	N/A
Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis	Unknown	PDF	N/A
Referencing Where to Focus: Improving Visual Grounding with Referential Query	Unknown	PDF	N/A
Is Value Learning Really the Main Bottleneck in Offline RL?	Unknown	PDF	N/A
ActAnywhere: Subject-Aware Video Background Generation	Unknown	PDF	N/A
Wings: Learning Multimodal LLMs without Text-only Forgetting	Unknown	PDF	N/A
Dual-Personalizing Adapter for Federated Foundation Models	Unknown	PDF	N/A
Goal-Conditioned On-Policy Reinforcement Learning	Unknown	PDF	N/A
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices	Unknown	PDF	N/A
On the Impacts of the Random Initialization in the Neural Tangent Kernel Theory	Unknown	PDF	N/A
Few-Shot Adversarial Prompt Learning on Vision-Language Models	Unknown	PDF	N/A
MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction	Unknown	PDF	N/A
DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection	Unknown	PDF	N/A
Latent Functional Maps: a spectral framework for representation alignment	Unknown	PDF	N/A
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering	Unknown	PDF	N/A
Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection	Unknown	PDF	N/A
Human-Object Interaction Detection Collaborated with Large Relation-driven Diffusion Models	Unknown	PDF	N/A
Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift	Unknown	PDF	N/A
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos	Unknown	PDF	N/A
D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning	Unknown	PDF	N/A
John Ellipsoids via Lazy Updates	Unknown	PDF	N/A
QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization	Unknown	PDF	N/A
Towards Unified Multimodal Editing with Enhanced Knowledge Collaboration	Unknown	PDF	N/A
Localize, Understand, Collaborate: Semantic-Aware Dragging via Intention Reasoner	Unknown	PDF	N/A
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning	Unknown	PDF	N/A
Multi-Scale Representation Learning for Protein Fitness Prediction	Unknown	PDF	N/A
Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages	Unknown	PDF	N/A
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs	Unknown	PDF	N/A
A Canonicalization Perspective on Invariant and Equivariant Learning	Unknown	PDF	N/A
Identifying General Mechanism Shifts in Linear Causal Representations	Unknown	PDF	N/A
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations	Unknown	PDF	N/A
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification	Unknown	PDF	N/A
Query-Based Adversarial Prompt Generation	Unknown	PDF	N/A
Instructor-inspired Machine Learning for Robust Molecular Property Prediction	Unknown	PDF	N/A
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation	Unknown	PDF	N/A
Guided Trajectory Generation with Diffusion Models for Offline Model-based Optimization	Unknown	PDF	N/A
ProEdit: Simple Progression is All You Need for High-Quality 3D Scene Editing	Unknown	PDF	N/A
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders	Unknown	PDF	N/A
Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals	Unknown	PDF	N/A
A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings	Unknown	PDF	N/A
Optimizing Automatic Differentiation with Deep Reinforcement Learning	Unknown	PDF	N/A
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling	Unknown	PDF	N/A
On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity	Unknown	PDF	N/A
Online Learning of Delayed Choices	Unknown	PDF	N/A
Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning	Unknown	PDF	N/A
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs	Unknown	PDF	N/A
The Price of Implicit Bias in Adversarially Robust Generalization	Unknown	PDF	N/A
Least Squares Regression Can Exhibit Under-Parameterized Double Descent	Unknown	PDF	N/A
KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension	Unknown	PDF	N/A
Towards Unsupervised Model Selection for Domain Adaptive Object Detection	Unknown	PDF	N/A
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random	Unknown	PDF	N/A
HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets	Unknown	PDF	N/A
Parameter Disparities Dissection for Backdoor Defense in Heterogeneous Federated Learning	Unknown	PDF	N/A
Long-range Brain Graph Transformer	Unknown	PDF	N/A
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs	Unknown	PDF	N/A
Boundary Decomposition for Nadir Objective Vector Estimation	Unknown	PDF	N/A
Active Learning of General Halfspaces: Label Queries vs Membership Queries	Unknown	PDF	N/A
SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection	Unknown	PDF	N/A
Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium	Unknown	PDF	N/A
Multi-Head Mixture-of-Experts	Unknown	PDF	N/A
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models	Unknown	PDF	N/A
Knowledge Graph Completion by Intermediate Variables Regularization	Unknown	PDF	N/A
Fractal Patterns May Illuminate the Success of Next-Token Prediction	Unknown	PDF	N/A
Transformer Doctor: Diagnosing and Treating Vision Transformers	Unknown	PDF	N/A
Gliding over the Pareto Front with Uniform Designs	Unknown	PDF	N/A
Boosting Transferability and Discriminability for Time Series Domain Adaptation	Unknown	PDF	N/A
A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch	Unknown	PDF	N/A
FedGMKD: An Efficient Prototype Federated Learning Framework through Knowledge Distillation and Discrepancy-Aware Aggregation	Unknown	PDF	N/A
Revisiting motion information for RGB-Event tracking with MOT philosophy	Unknown	PDF	N/A
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli	Unknown	PDF	N/A
Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps	Unknown	PDF	N/A
Optimistic Verifiable Training by Controlling Hardware Nondeterminism	Unknown	PDF	N/A
Vivid-ZOO: Multi-View Video Generation with Diffusion Model	Unknown	PDF	N/A
Identifying Equivalent Training Dynamics	Unknown	PDF	N/A
MatrixNet: Learning over symmetry groups using learned group representations	Unknown	PDF	N/A
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows	Unknown	PDF	N/A
Mind the Gap: A Causal Perspective on Bias Amplification in Prediction & Decision-Making	Unknown	PDF	N/A
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies	Unknown	PDF	N/A
IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing	Unknown	PDF	N/A
Video Diffusion Models are Training-free Motion Interpreter and Controller	Unknown	PDF	N/A
TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation	Unknown	PDF	N/A
Truthful High Dimensional Sparse Linear Regression	Unknown	PDF	N/A
Generalizable Implicit Motion Modeling for Video Frame Interpolation	Unknown	PDF	N/A
Typicalness-Aware Learning for Failure Detection	Unknown	PDF	N/A
Implicit Regularization Paths of Weighted Neural Representations	Unknown	PDF	N/A
$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$	Unknown	PDF	N/A
Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection	Unknown	PDF	N/A
Collaboration! Towards Robust Neural Methods for Routing Problems	Unknown	PDF	N/A
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design	Unknown	PDF	N/A
Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network	Unknown	PDF	N/A
MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models	Unknown	PDF	N/A
Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models	Unknown	PDF	N/A
FreeLong: Training-Free Long Video Generation with SpectralBlend Temporal Attention	Unknown	PDF	N/A
Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts	Unknown	PDF	N/A
Spiking Transformer with Experts Mixture	Unknown	PDF	N/A
A Functional Extension of Semi-Structured Networks	Unknown	PDF	N/A
Universal Neural Functionals	Unknown	PDF	N/A
Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks	Unknown	PDF	N/A
LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems	Unknown	PDF	N/A
A Motion-aware Spatio-temporal Graph for Video Salient Object Ranking	Unknown	PDF	N/A
The Bayesian sampling in a canonical recurrent circuit with a diversity of inhibitory interneurons	Unknown	PDF	N/A
Energy-based Hopfield Boosting for Out-of-Distribution Detection	Unknown	PDF	N/A
Cost-efficient Knowledge-based Question Answering with Large Language Models	Unknown	PDF	N/A
Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model	Unknown	PDF	N/A
Cryptographic Hardness of Score Estimation	Unknown	PDF	N/A
Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics	Unknown	PDF	N/A
Neural Cover Selection for Image Steganography	Unknown	PDF	N/A
Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings	Unknown	PDF	N/A
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations	Unknown	PDF	N/A
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning	Unknown	PDF	N/A
One-Step Effective Diffusion Network for Real-World Image Super-Resolution	Unknown	PDF	N/A
Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly	Unknown	PDF	N/A
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization	Unknown	PDF	N/A
Stabilized Proximal-Point Methods for Federated Optimization	Unknown	PDF	N/A
Mixtures of Experts for Audio-Visual Learning	Unknown	PDF	N/A
Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise	Unknown	PDF	N/A
DDN: Dual-domain Dynamic Normalization for Non-stationary Time Series Forecasting	Unknown	PDF	N/A
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion	Unknown	PDF	N/A
Improving Generalization of Dynamic Graph Learning via Environment Prompt	Unknown	PDF	N/A
Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts	Unknown	PDF	N/A
The motion planning neural circuit in goal-directed navigation as Lie group operator search	Unknown	PDF	N/A
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning	Unknown	PDF	N/A
Faster Differentially Private Top-$k$ Selection: A Joint Exponential Mechanism with Pruning	Unknown	PDF	N/A
Hybrid Mamba for Few-Shot Segmentation	Unknown	PDF	N/A
Graph-based Uncertainty Metrics for Long-form Language Model Generations	Unknown	PDF	N/A
Cross-video Identity Correlating for Person Re-identification Pre-training	Unknown	PDF	N/A
Statistical-Computational Trade-offs for Density Estimation	Unknown	PDF	N/A
Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization	Unknown	PDF	N/A
KnowGPT: Knowledge Graph based Prompting for Large Language Models	Unknown	PDF	N/A
The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems	Unknown	PDF	N/A
Efficient Graph Matching for Correlated Stochastic Block Models	Unknown	PDF	N/A
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning	Unknown	PDF	N/A
Accelerating Relative Entropy Coding with Space Partitioning	Unknown	PDF	N/A
Diffusion Priors for Variational Likelihood Estimation and Image Denoising	Unknown	PDF	N/A
On the Computational Complexity of Private High-dimensional Model Selection	Unknown	PDF	N/A
Observational Scaling Laws and the Predictability of Langauge Model Performance	Unknown	PDF	N/A
Decomposable Transformer Point Processes	Unknown	PDF	N/A
ST$_k$: A Scalable Module for Solving Top-k Problems	Unknown	PDF	N/A
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting	Unknown	PDF	N/A
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models	Unknown	PDF	N/A
Test-Time Dynamic Image Fusion	Unknown	PDF	N/A
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training	Unknown	PDF	N/A
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution	Unknown	PDF	N/A
A Local Method for Satisfying Interventional Fairness with Partially Known Causal Graphs	Unknown	PDF	N/A
UniAudio 1.5: Large Language Model-Driven Audio Codec is A Few-Shot Audio Task Learner	Unknown	PDF	N/A
TFG: Unified Training-Free Guidance for Diffusion Models	Unknown	PDF	N/A
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data	Unknown	PDF	N/A
Boosting Weakly Supervised Referring Image Segmentation via Progressive Comprehension	Unknown	PDF	N/A
You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection	Unknown	PDF	N/A
On Sparse Canonical Correlation Analysis	Unknown	PDF	N/A
SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining	Unknown	PDF	N/A
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information Minimization	Unknown	PDF	N/A
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering	Unknown	PDF	N/A
RanDumb: Random Representations Outperform Online Continually Learned Representations	Unknown	PDF	N/A
From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning	Unknown	PDF	N/A
Online Classification with Predictions	Unknown	PDF	N/A
A Framework for Bilevel Optimization on Riemannian Manifolds	Unknown	PDF	N/A
Multivariate Probabilistic Time Series Forecasting with Correlated Errors	Unknown	PDF	N/A
Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models	Unknown	PDF	N/A
Learning to Handle Complex Constraints for Vehicle Routing Problems	Unknown	PDF	N/A
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs	Unknown	PDF	N/A
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation	Unknown	PDF	N/A
Learning to Price Homogeneous Data	Unknown	PDF	N/A
Connecting Joint-Embedding Predictive Architecture with Contrastive Self-supervised Learning	Unknown	PDF	N/A
Adaptive Layer Sparsity for Large Language Models via Activation Correlation Assessment	Unknown	PDF	N/A
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise	Unknown	PDF	N/A
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?	Unknown	PDF	N/A
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation	Unknown	PDF	N/A
Transcoders find interpretable LLM feature circuits	Unknown	PDF	N/A
Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization	Unknown	PDF	N/A
Real-time Stereo-based 3D Object Detection for Streaming Perception	Unknown	PDF	N/A
Soft ascent-descent as a stable and flexible alternative to flooding	Unknown	PDF	N/A
Probablistic Emulation of a Global Climate Model with Spherical DYffusion	Unknown	PDF	N/A
Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks	Unknown	PDF	N/A
Rethinking Score Distillation as a Bridge Between Image Distributions	Unknown	PDF	N/A
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective	Unknown	PDF	N/A
Variance estimation in compound decision theory under boundedness	Unknown	PDF	N/A
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting	Unknown	PDF	N/A
SCOREQ: Speech Quality Assessment with Contrastive Regression	Unknown	PDF	N/A
DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus	Unknown	PDF	N/A
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks	Unknown	PDF	N/A
SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network	Unknown	PDF	N/A
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training	Unknown	PDF	N/A
Pre-training Differentially Private Models with Limited Public Data	Unknown	PDF	N/A
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization	Unknown	PDF	N/A
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness	Unknown	PDF	N/A
Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously	Unknown	PDF	N/A
A Critical Evaluation of AI Feedback for Aligning Large Language Models	Unknown	PDF	N/A
StreamFlow: Streamlined Multi-Frame Optical Flow Estimation for Video Sequences	Unknown	PDF	N/A
AutoTimes: Autoregressive Time Series Forecasters via Large Language Models	Unknown	PDF	N/A
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes	Unknown	PDF	N/A
AutoSurvey: Large Language Models Can Automatically Write Surveys	Unknown	PDF	N/A
Dimension-free deterministic equivalents and scaling laws for random feature regression	Unknown	PDF	N/A
ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark	Unknown	PDF	N/A
Towards a Scalable Reference-Free Evaluation of Generative Models	Unknown	PDF	N/A
Graph Diffusion Transformers for Multi-Conditional Molecular Generation	Unknown	PDF	N/A
SE(3)-bi-equivariant Transformers for Point Cloud Assembly	Unknown	PDF	N/A
Conformalized Time Series with Semantic Features	Unknown	PDF	N/A
Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment	Unknown	PDF	N/A
Emergence of heavy tails in homogenized stochastic gradient descent	Unknown	PDF	N/A
The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing	Unknown	PDF	N/A
Learning 3D Garment Animation from Trajectories of A Piece of Cloth	Unknown	PDF	N/A
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability	Unknown	PDF	N/A
Rethinking 3D Convolution in $\ell_p$-norm Space	Unknown	PDF	N/A
A Siamese Transformer with Hierarchical Refinement for Lane Detection	Unknown	PDF	N/A
HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection	Unknown	PDF	N/A
Pre-Trained Multi-Goal Transformers with Prompt Optimization for Efficient Online Adaptation	Unknown	PDF	N/A
Segment Any Change	Unknown	PDF	N/A
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing	Unknown	PDF	N/A
Spike-based Neuromorphic Model for Sound Source Localization	Unknown	PDF	N/A
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning	Unknown	PDF	N/A
Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems	Unknown	PDF	N/A
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes	Unknown	PDF	N/A
Fully Unconstrained Online Learning	Unknown	PDF	N/A
Clustering then Propagation: Select Better Anchors for Knowledge Graph Embedding	Unknown	PDF	N/A
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures	Unknown	PDF	N/A
Sample Complexity of Posted Pricing for a Single Item	Unknown	PDF	N/A
Model Sensitivity Aware Continual Learning	Unknown	PDF	N/A
GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics	Unknown	PDF	N/A
Learning to Embed Distributions via Maximum Kernel Entropy	Unknown	PDF	N/A
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection	Unknown	PDF	N/A
Connectivity Shapes Implicit Regularization in Matrix Factorization Models for Matrix Completion	Unknown	PDF	N/A
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers	Unknown	PDF	N/A
Evidence of Learned Look-Ahead in a Chess-Playing Neural Network	Unknown	PDF	N/A
BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping	Unknown	PDF	N/A
Provable Benefit of Cutout and CutMix for Feature Learning	Unknown	PDF	N/A
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly Detection	Unknown	PDF	N/A
Make-it-Real: Unleashing Large Multimodal Model for Painting 3D Objects with Realistic Materials	Unknown	PDF	N/A
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction	Unknown	PDF	N/A
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging	Unknown	PDF	N/A
HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model	Unknown	PDF	N/A
Dissecting the Failure of Invariant Learning on Graphs	Unknown	PDF	N/A
Do's and Don'ts: Learning Desirable Skills with Instruction Videos	Unknown	PDF	N/A
RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models	Unknown	PDF	N/A
Uncovering the Redundancy in Graph Self-supervised Learning Models	Unknown	PDF	N/A
A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers	Unknown	PDF	N/A
Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game	Unknown	PDF	N/A
Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks	Unknown	PDF	N/A
Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning	Unknown	PDF	N/A
DiffGS: Functional Gaussian Splatting Diffusion	Unknown	PDF	N/A
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars	Unknown	PDF	N/A
Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data	Unknown	PDF	N/A
IMAGPose: A Unified Conditional Framework for Pose-Guided Person Generation	Unknown	PDF	N/A
Policy Optimization for Robust Average Reward MDPs	Unknown	PDF	N/A
Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts	Unknown	PDF	N/A
Hierarchical and Density-based Causal Clustering	Unknown	PDF	N/A
Hypothesis Testing the Circuit Hypothesis in LLMs	Unknown	PDF	N/A
Transfer Q-star : Principled Decoding for LLM Alignment	Unknown	PDF	N/A
e-COP : Episodic Constrained Optimization of Policies	Unknown	PDF	N/A
Relating Hopfield Networks to Episodic Control	Unknown	PDF	N/A
LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D	Unknown	PDF	N/A
Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering	Unknown	PDF	N/A
Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective	Unknown	PDF	N/A
WATT: Weight Average Test Time Adaptation of CLIP	Unknown	PDF	N/A
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning	Unknown	PDF	N/A
Nearly Optimal Approximation of Matrix Functions by the Lanczos Method	Unknown	PDF	N/A
Conformal Classification with Equalized Coverage for Adaptively Selected Groups	Unknown	PDF	N/A
Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection	Unknown	PDF	N/A
Theoretical Foundations of Deep Selective State-Space Models	Unknown	PDF	N/A
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series	Unknown	PDF	N/A
LLM Circuit Analyses Are Consistent Across Training and Scale	Unknown	PDF	N/A
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings	Unknown	PDF	N/A
Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization	Unknown	PDF	N/A
SMART: Scalable Multi-agent Real-time Motion Generation via Next-token Prediction	Unknown	PDF	N/A
Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning	Unknown	PDF	N/A
Distributional Preference Alignment of LLMs via Optimal Transport	Unknown	PDF	N/A
Provably Mitigating Overoptimization in RLHF: Your SFT Loss is Implicitly an Adversarial Regularizer	Unknown	PDF	N/A
Can Models Learn Skill Composition from Examples?	Unknown	PDF	N/A
FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner	Unknown	PDF	N/A
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes	Unknown	PDF	N/A
Multilingual Diversity Improves Vision-Language Representations	Unknown	PDF	N/A
Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners	Unknown	PDF	N/A
Enhancing Domain Adaptation through Prompt Gradient Alignment	Unknown	PDF	N/A
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting	Unknown	PDF	N/A
Reliable Learning of Halfspaces under Gaussian Marginals	Unknown	PDF	N/A
Grounding Multimodal Large Language Models in Actions	Unknown	PDF	N/A
Improved Analysis for Bandit Learning in Matching Markets	Unknown	PDF	N/A
SyncTweedies: A General Generative Framework Based on Synchronized Diffusions	Unknown	PDF	N/A
PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection	Unknown	PDF	N/A
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models	Unknown	PDF	N/A
Mixture of Demonstrations for In-Context Learning	Unknown	PDF	N/A
Monomial Matrix Group Equivariant Neural Functional Networks	Unknown	PDF	N/A
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing	Unknown	PDF	N/A
Precipitation Downscaling with Spatiotemporal Video Diffusion	Unknown	PDF	N/A
Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking	Unknown	PDF	N/A
Scalable DBSCAN with Random Projections	Unknown	PDF	N/A
Reconstruction of Manipulated Garment with Guided Deformation Prior	Unknown	PDF	N/A
A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective	Unknown	PDF	N/A
User-item fairness tradeoffs in recommendations	Unknown	PDF	N/A
Transductive Learning is Compact	Unknown	PDF	N/A
On the Scalability of Certified Adversarial Robustness with Generated Data	Unknown	PDF	N/A
Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction	Unknown	PDF	N/A
Learning and Transferring Sparse Contextual Bigrams with Linear Transformers	Unknown	PDF	N/A
Resource-Aware Federated Self-Supervised Learning with Global Class Representations	Unknown	PDF	N/A
Local to Global: Learning Dynamics and Effect of Initialization for Transformers	Unknown	PDF	N/A
Risk-sensitive control as inference with Rényi divergence	Unknown	PDF	N/A
GUIDE: Real-Time Human-Shaped Agents	Unknown	PDF	N/A
An effective framework for estimating individualized treatment rules	Unknown	PDF	N/A
SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models	Unknown	PDF	N/A
Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers	Unknown	PDF	N/A
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution	Unknown	PDF	N/A
CLIPAway: Harmonizing focused embeddings for removing objects via diffusion models	Unknown	PDF	N/A
Supervised Kernel Thinning	Unknown	PDF	N/A
AED: Adaptable Error Detection for Few-shot Imitation Policy	Unknown	PDF	N/A
Active, anytime-valid risk controlling prediction sets	Unknown	PDF	N/A
ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution	Unknown	PDF	N/A
InstructG2I: Synthesizing Images from Multimodal Attributed Graphs	Unknown	PDF	N/A
Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes	Unknown	PDF	N/A
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability	Unknown	PDF	N/A
Towards Human-AI Complementarity with Prediction Sets	Unknown	PDF	N/A
Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering	Unknown	PDF	N/A
LOVA3: Learning to Visual Question Answering, Asking and Assessment	Unknown	PDF	N/A
FilterNet: Harnessing Frequency Filters for Time Series Forecasting	Unknown	PDF	N/A
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics	Unknown	PDF	N/A
Latent Representation Matters: Human-like Sketches in One-shot Drawing Tasks	Unknown	PDF	N/A
UniFL: Improve Latent Diffusion Model via Unified Feedback Learning	Unknown	PDF	N/A
Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games	Unknown	PDF	N/A
Aligning to Thousands of Preferences via System Message Generalization	Unknown	PDF	N/A
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning	Unknown	PDF	N/A
RG-SAN: Rule-Guided Spatial Awareness Network for End-to-End 3D Referring Expression Segmentation	Unknown	PDF	N/A
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation	Unknown	PDF	N/A
Prune and Repaint: Content-Aware Image Retargeting for any Ratio	Unknown	PDF	N/A
Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation	Unknown	PDF	N/A
Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning	Unknown	PDF	N/A
From an Image to a Scene: Learning to Imagine the World from a Million 360° Videos	Unknown	PDF	N/A
WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models	Unknown	PDF	N/A
WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking	Unknown	PDF	N/A
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy	Unknown	PDF	N/A
Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation	Unknown	PDF	N/A
LocCa: Visual Pretraining with Location-aware Captioners	Unknown	PDF	N/A
Soft-Label Integration for Robust Toxicity Classification	Unknown	PDF	N/A
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification	Unknown	PDF	N/A
GraphVis: Boosting LLMs with Visual Knowledge Graph Integration	Unknown	PDF	N/A
Faster Algorithms for User-Level Private Stochastic Convex Optimization	Unknown	PDF	N/A
Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks	Unknown	PDF	N/A
Harmonizing Visual Text Comprehension and Generation	Unknown	PDF	N/A
MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model	Unknown	PDF	N/A
LinNet: Linear Network for Efficient Point Cloud Representation Learning	Unknown	PDF	N/A
GeoLRM: Geometry-Aware Large Reconstruction Model for High-Quality 3D Gaussian Generation	Unknown	PDF	N/A
Exploring DCN-like architecture for fast image generation with arbitrary resolution	Unknown	PDF	N/A
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation	Unknown	PDF	N/A
Oja's Algorithm for Streaming Sparse PCA	Unknown	PDF	N/A
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation	Unknown	PDF	N/A
Can Graph Learning Improve Planning in LLM-based Agents?	Unknown	PDF	N/A
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization	Unknown	PDF	N/A
GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation	Unknown	PDF	N/A
VMamba: Visual State Space Model	Unknown	PDF	N/A
Regularized Conditional Diffusion Model for Multi-Task Preference Alignment	Unknown	PDF	N/A
SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation	Unknown	PDF	N/A
Amortized Planning with Large-Scale Transformers: A Case Study on Chess	Unknown	PDF	N/A
Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention	Unknown	PDF	N/A
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics	Unknown	PDF	N/A
MVInpainter: Learning Multi-View Consistent Inpainting to Bridge 2D and 3D Editing	Unknown	PDF	N/A
LLaMo: Large Language Model-based Molecular Graph Assistant	Unknown	PDF	N/A
Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?	Unknown	PDF	N/A
Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module	Unknown	PDF	N/A
WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena	Unknown	PDF	N/A
MambaSCI: Efficient Mamba-UNet for Quad-Bayer Patterned Video Snapshot Compressive Imaging	Unknown	PDF	N/A
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy	Unknown	PDF	N/A
Open-Vocabulary Object Detection via Language Hierarchy	Unknown	PDF	N/A
GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoning	Unknown	PDF	N/A
SpeechAlign: Aligning Speech Generation to Human Preferences	Unknown	PDF	N/A
Swift Sampler: Efficient Learning of Sampler by 10 Parameters	Unknown	PDF	N/A
Scalable Optimization in the Modular Norm	Unknown	PDF	N/A
Déjà Vu Memorization in Vision–Language Models	Unknown	PDF	N/A
Conditional Controllable Image Fusion	Unknown	PDF	N/A
Grasp as You Say: Language-guided Dexterous Grasp Generation	Unknown	PDF	N/A
Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation	Unknown	PDF	N/A
Generative Hierarchical Materials Search	Unknown	PDF	N/A
Self-supervised Transformation Learning for Equivariant Representations	Unknown	PDF	N/A
Leveraging Separated World Model for Exploration in Visually Distracted Environments	Unknown	PDF	N/A
Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis	Unknown	PDF	N/A
Understanding Visual Feature Reliance through the Lens of Complexity	Unknown	PDF	N/A
A Modular Conditional Diffusion Framework for Image Reconstruction	Unknown	PDF	N/A
EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation	Unknown	PDF	N/A
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives	Unknown	PDF	N/A
Explicit Eigenvalue Regularization Improves Sharpness-Aware Minimization	Unknown	PDF	N/A
GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance	Unknown	PDF	N/A
Universal In-Context Approximation By Prompting Fully Recurrent Models	Unknown	PDF	N/A
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning	Unknown	PDF	N/A
Improving Gloss-free Sign Language Translation by Reducing Representation Density	Unknown	PDF	N/A
On Affine Homotopy between Language Encoders	Unknown	PDF	N/A
HonestLLM: Toward an Honest and Helpful Large Language Model	Unknown	PDF	N/A
Generalized Linear Bandits with Limited Adaptivity	Unknown	PDF	N/A
Segmenting Watermarked Texts From Language Models	Unknown	PDF	N/A
Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning	Unknown	PDF	N/A
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion	Unknown	PDF	N/A
TAPTRv2: Attention-based Position Update Improves Tracking Any Point	Unknown	PDF	N/A
DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection	Unknown	PDF	N/A
On improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Models	Unknown	PDF	N/A
Understanding Transformer Reasoning Capabilities via Graph Algorithms	Unknown	PDF	N/A
4-bit Shampoo for Memory-Efficient Network Training	Unknown	PDF	N/A
$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling	Unknown	PDF	N/A
Efficient Lifelong Model Evaluation in an Era of Rapid Progress	Unknown	PDF	N/A
CV-VAE: A Compatible Video VAE for Latent Generative Video Models	Unknown	PDF	N/A
Improved Generation of Adversarial Examples Against Safety-aligned LLMs	Unknown	PDF	N/A
Offline Behavior Distillation	Unknown	PDF	N/A
Learning from Pattern Completion: Self-supervised Controllable Generation	Unknown	PDF	N/A
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models	Unknown	PDF	N/A
ContextCite: Attributing Model Generation to Context	Unknown	PDF	N/A
Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis	Unknown	PDF	N/A
Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence	Unknown	PDF	N/A
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time	Unknown	PDF	N/A
ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction	Unknown	PDF	N/A
E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection	Unknown	PDF	N/A
A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm	Unknown	PDF	N/A
I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing	Unknown	PDF	N/A
Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching	Unknown	PDF	N/A
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection	Unknown	PDF	N/A
Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion	Unknown	PDF	N/A
Bridge the Modality and Capability Gaps in Vision-Language Model Selection	Unknown	PDF	N/A
Multiclass Transductive Online Learning	Unknown	PDF	N/A
On the cohesion and separability of average-link for hierarchical agglomerative clustering	Unknown	PDF	N/A
BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts	Unknown	PDF	N/A
A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning	Unknown	PDF	N/A
Theoretical Analysis of Weak-to-Strong Generalization	Unknown	PDF	N/A
A Foundation Model for Zero-shot Logical Query Reasoning	Unknown	PDF	N/A
Generalized Fast Exact Conformalization	Unknown	PDF	N/A
QBB: Quantization with Binary Bases for LLMs	Unknown	PDF	N/A
WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off	Unknown	PDF	N/A
Enhancing Chess Reinforcement Learning with Graph Representation	Unknown	PDF	N/A
Occupancy-based Policy Gradient: Estimation, Convergence, and Optimality	Unknown	PDF	N/A
Towards Stable Representations for Protein Interface Prediction	Unknown	PDF	N/A
Almost Surely Asymptotically Constant Graph Neural Networks	Unknown	PDF	N/A
Pricing and Competition for Generative AI	Unknown	PDF	N/A
Variational Delayed Policy Optimization	Unknown	PDF	N/A
GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration	Unknown	PDF	N/A
Neuro-Symbolic Data Generation for Math Reasoning	Unknown	PDF	N/A
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks	Unknown	PDF	N/A
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs	Unknown	PDF	N/A
What does guidance do? A fine-grained analysis in a simple setting	Unknown	PDF	N/A
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs	Unknown	PDF	N/A
Self-Guided Masked Autoencoder	Unknown	PDF	N/A
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models	Unknown	PDF	N/A
On the Surprising Effectiveness of Attention Transfer for Vision Transformers	Unknown	PDF	N/A
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment	Unknown	PDF	N/A
Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models	Unknown	PDF	N/A
Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization	Unknown	PDF	N/A
Improving Adaptivity via Over-Parameterization in Sequence Models	Unknown	PDF	N/A
GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing	Unknown	PDF	N/A
Recurrent neural networks: vanishing and exploding gradients are not the end of the story	Unknown	PDF	N/A
Revisiting Differentially Private ReLU Regression	Unknown	PDF	N/A
Post-Hoc Reversal: Are We Selecting Models Prematurely?	Unknown	PDF	N/A
Stochastic Optimal Control for Diffusion Bridges in Function Spaces	Unknown	PDF	N/A
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning	Unknown	PDF	N/A
Generalization of Hamiltonian algorithms	Unknown	PDF	N/A
Online Bayesian Persuasion Without a Clue	Unknown	PDF	N/A
Why Do We Need Weight Decay in Modern Deep Learning?	Unknown	PDF	N/A
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization	Unknown	PDF	N/A
Online Control in Population Dynamics	Unknown	PDF	N/A
Mutli-Armed Bandits with Network Interference	Unknown	PDF	N/A
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms	Unknown	PDF	N/A
Disentangling and mitigating the impact of task similarity for continual learning	Unknown	PDF	N/A
Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model	Unknown	PDF	N/A
Instruction-Guided Visual Masking	Unknown	PDF	N/A
Stopping Bayesian Optimization with Probabilistic Regret Bounds	Unknown	PDF	N/A
Robust Reinforcement Learning from Corrupted Human Feedback	Unknown	PDF	N/A
Can LLMs Implicitly Learn Numeric Parameter Constraints in Data Science APIs?	Unknown	PDF	N/A
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models	Unknown	PDF	N/A
UniIF: Unified Molecule Inverse Folding	Unknown	PDF	N/A
Easy Regional Contrastive Learning of Expressive Fashion Representations	Unknown	PDF	N/A
On Weak Regret Analysis for Dueling Bandits	Unknown	PDF	N/A
Statistical Efficiency of Distributional Temporal Difference Learning	Unknown	PDF	N/A
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression	Unknown	PDF	N/A
Neural Collapse To Multiple Centers For Imbalanced Data	Unknown	PDF	N/A
Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures	Unknown	PDF	N/A
Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses	Unknown	PDF	N/A
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems	Unknown	PDF	N/A
Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints	Unknown	PDF	N/A
CoFie: Learning Compact Neural Surface Representations with Coordinate Fields	Unknown	PDF	N/A
Gated Slot Attention for Efficient Linear-Time Sequence Modeling	Unknown	PDF	N/A
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer	Unknown	PDF	N/A
Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss	Unknown	PDF	N/A
Nonlinear dynamics of localization in neural receptive fields	Unknown	PDF	N/A
Automated Multi-Task Learning for Joint Disease Prediction on Electronic Health Records	Unknown	PDF	N/A
Neglected Hessian component explains mysteries in sharpness regularization	Unknown	PDF	N/A
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation	Unknown	PDF	N/A
Where does In-context Learning Happen in Large Language Models?	Unknown	PDF	N/A
Online Relational Inference for Evolving Multi-agent Interacting Systems	Unknown	PDF	N/A
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection	Unknown	PDF	N/A
A theoretical design of concept sets: improving the predictability of concept bottleneck models	Unknown	PDF	N/A
Measuring Per-Unit Interpretability at Scale Without Humans	Unknown	PDF	N/A
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models	Unknown	PDF	N/A
Super Consistency of Neural Network Landscapes and Learning Rate Transfer	Unknown	PDF	N/A
The Impact of Initialization on LoRA Finetuning Dynamics	Unknown	PDF	N/A
Approximation-Aware Bayesian Optimization	Unknown	PDF	N/A
Dynamic Conditional Optimal Transport through Simulation-Free Flows	Unknown	PDF	N/A
Explaining Datasets in Words: Statistical Models with Natural Language Parameters	Unknown	PDF	N/A
Adam with model exponential moving average is effective for nonconvex optimization	Unknown	PDF	N/A
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising	Unknown	PDF	N/A
An Analysis of Tokenization: Transformers under Markov Data	Unknown	PDF	N/A
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient	Unknown	PDF	N/A
MAmmoTH2: Scaling Instructions from the Web	Unknown	PDF	N/A
Bridging Geometric States via Geometric Diffusion Bridge	Unknown	PDF	N/A
Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models	Unknown	PDF	N/A
CogVLM: Visual Expert for Pretrained Language Models	Unknown	PDF	N/A
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity	Unknown	PDF	N/A
Efficiency for Free: Ideal Data Are Transportable Representations	Unknown	PDF	N/A
Aligning Audio-Visual Joint Representations with an Agentic Workflow	Unknown	PDF	N/A
On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games	Unknown	PDF	N/A
Distribution Learning with Valid Outputs Beyond the Worst-Case	Unknown	PDF	N/A
Any2Policy: Learning Visuomotor Policy with Any-Modality	Unknown	PDF	N/A
Length Optimization in Conformal Prediction	Unknown	PDF	N/A
Autonomous Driving with Spiking Neural Networks	Unknown	PDF	N/A
Generalized Eigenvalue Problems with Generative Priors	Unknown	PDF	N/A
The Intelligible and Effective Graph Neural Additive Network	Unknown	PDF	N/A
Reranking Laws for Language Generation: A Communication-Theoretic Perspective	Unknown	PDF	N/A
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention	Unknown	PDF	N/A
Optimal Scalarizations for Sublinear Hypervolume Regret	Unknown	PDF	N/A
Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks	Unknown	PDF	N/A
Hyperbolic Embeddings of Supervised Models	Unknown	PDF	N/A
Bandits with Preference Feedback: A Stackelberg Game Perspective	Unknown	PDF	N/A
Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts	Unknown	PDF	N/A
Clustering in Causal Attention Masking	Unknown	PDF	N/A
MSA Generation with Seqs2Seqs Pretraining: Advancing Protein Structure Predictions	Unknown	PDF	N/A
Large Language Model Unlearning	Unknown	PDF	N/A
Fairness without Harm: An Influence-Guided Active Sampling Approach	Unknown	PDF	N/A
Q-VLM: Post-training Quantization for Large Vision-Language Models	Unknown	PDF	N/A
Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data	Unknown	PDF	N/A
Slicing Vision Transformer for Flexible Inference	Unknown	PDF	N/A
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation	Unknown	PDF	N/A
Measuring Mutual Policy Divergence for Multi-Agent Sequential Exploration	Unknown	PDF	N/A
Understanding Multi-Granularity for Open-Vocabulary Part Segmentation	Unknown	PDF	N/A
Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models	Unknown	PDF	N/A
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding	Unknown	PDF	N/A
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective	Unknown	PDF	N/A
Low Precision Local Training is Enough for Federated Learning	Unknown	PDF	N/A
The Benefits of Balance: From Information Projections to Variance Reduction	Unknown	PDF	N/A
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness	Unknown	PDF	N/A
Calibrating Reasoning in Language Models with Internal Consistency	Unknown	PDF	N/A
Verified Safe Reinforcement Learning for Neural Network Dynamic Models	Unknown	PDF	N/A
SEL-BALD: Deep Bayesian Active Learning with Selective Labels	Unknown	PDF	N/A
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding	Unknown	PDF	N/A
Learning Partitions from Context	Unknown	PDF	N/A
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees	Unknown	PDF	N/A
Explanations that reveal all through the definition of encoding	Unknown	PDF	N/A
A Compositional Atlas for Algebraic Circuits	Unknown	PDF	N/A
In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates	Unknown	PDF	N/A
How many classifiers do we need?	Unknown	PDF	N/A
TurboHopp: Accelerated Molecule Scaffold Hopping with Consistency Models	Unknown	PDF	N/A
Aligner: Efficient Alignment by Learning to Correct	Unknown	PDF	N/A
To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty	Unknown	PDF	N/A
Generalizable Person Re-identification via Balancing Alignment and Uniformity	Unknown	PDF	N/A
Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks	Unknown	PDF	N/A
Belief-State Query Policies for User-Aligned POMDPs	Unknown	PDF	N/A
DALD: Improving Logits-based Detector without Logits from Black-box LLMs	Unknown	PDF	N/A
Towards Scalable and Stable Parallelization of Nonlinear RNNs	Unknown	PDF	N/A
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching	Unknown	PDF	N/A
Biologically Inspired Learning Model for Instructed Vision	Unknown	PDF	N/A
Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation	Unknown	PDF	N/A
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss	Unknown	PDF	N/A
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL	Unknown	PDF	N/A
Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models	Unknown	PDF	N/A
A Unified Framework for 3D Scene Understanding	Unknown	PDF	N/A
Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios	Unknown	PDF	N/A
Entropy testing and its application to testing Bayesian networks	Unknown	PDF	N/A
BAN: Detecting Backdoors Activated by Adversarial Neuron Noise	Unknown	PDF	N/A
Enhancing Preference-based Linear Bandits via Human Response Time	Unknown	PDF	N/A
Parameterized Approximation Schemes for Fair-Range Clustering	Unknown	PDF	N/A
Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees	Unknown	PDF	N/A
Randomized Strategic Facility Location with Predictions	Unknown	PDF	N/A
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy	Unknown	PDF	N/A
The Importance of Being Scalable: Improving the Speed and Accuracy of Neural Network Interatomic Potentials Across Chemical Domains	Unknown	PDF	N/A
Prospective Learning: Learning for a Dynamic Future	Unknown	PDF	N/A
General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process	Unknown	PDF	N/A
Provable and Efficient Dataset Distillation for Kernel Ridge Regression	Unknown	PDF	N/A
Learning to Assist Humans without Inferring Rewards	Unknown	PDF	N/A
NoiseGPT: Label Noise Detection and Rectification through Probability Curvature	Unknown	PDF	N/A
Markov Equivalence and Consistency in Differentiable Structure Learning	Unknown	PDF	N/A
Layer-Adaptive State Pruning for Deep State Space Models	Unknown	PDF	N/A
Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement	Unknown	PDF	N/A
Ensemble sampling for linear bandits: small ensembles suffice	Unknown	PDF	N/A
Online Adaptation of Language Models with a Memory of Amortized Contexts	Unknown	PDF	N/A
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning	Unknown	PDF	N/A
Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data	Unknown	PDF	N/A
Algebraic Positional Encodings	Unknown	PDF	N/A
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem	Unknown	PDF	N/A
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning	Unknown	PDF	N/A
Universality in Transfer Learning for Linear Models	Unknown	PDF	N/A
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness	Unknown	PDF	N/A
RETR: Multi-View Radar Detection Transformer for Indoor Perception	Unknown	PDF	N/A
Visual Pinwheel Centers Act as Geometric Saliency Detectors	Unknown	PDF	N/A
Model-Based Transfer Learning for Contextual Reinforcement Learning	Unknown	PDF	N/A
VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance	Unknown	PDF	N/A
RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning	Unknown	PDF	N/A
Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective	Unknown	PDF	N/A
Provable Editing of Deep Neural Networks using Parametric Linear Relaxation	Unknown	PDF	N/A
Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators	Unknown	PDF	N/A
Schur Nets: exploiting local structure for equivariance in higher order graph neural networks	Unknown	PDF	N/A
Ultrafast classical phylogenetic method beats large protein language models on variant effect prediction	Unknown	PDF	N/A
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing	Unknown	PDF	N/A
Rethinking the Capacity of Graph Neural Networks for Branching Strategy	Unknown	PDF	N/A
Newton Informed Neural Operator for Solving Nonlinear Partial Differential Equations	Unknown	PDF	N/A
Sketching for Distributed Deep Learning: A Sharper Analysis	Unknown	PDF	N/A
Hierarchy-Agnostic Unsupervised Segmentation: Parsing Semantic Image Structure	Unknown	PDF	N/A
BOLD: Boolean Logic Deep Learning	Unknown	PDF	N/A
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport	Unknown	PDF	N/A
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning	Unknown	PDF	N/A
A New Neural Kernel Regime: The Inductive Bias of Multi-Task Learning	Unknown	PDF	N/A
Visual Prompt Tuning in Null Space for Continual Learning	Unknown	PDF	N/A
Asynchronous Perception Machine for Efficient Test Time Training	Unknown	PDF	N/A
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data	Unknown	PDF	N/A
Learning with Fitzpatrick Losses	Unknown	PDF	N/A
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models	Unknown	PDF	N/A
Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation	Unknown	PDF	N/A
Disentangled Style Domain for Implicit $z$-Watermark Towards Copyright Protection	Unknown	PDF	N/A
Understanding Emergent Abilities of Language Models from the Loss Perspective	Unknown	PDF	N/A
Beyond task diversity: provable representation transfer for sequential multitask linear bandits	Unknown	PDF	N/A
IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model	Unknown	PDF	N/A
Continuous Spatiotemporal Events Decoupling through Spike-based Bayesian Computation	Unknown	PDF	N/A
Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations	Unknown	PDF	N/A
CIFD: Controlled Information Flow to Enhance Knowledge Distillation	Unknown	PDF	N/A
DDK: Distilling Domain Knowledge for Efficient Large Language Models	Unknown	PDF	N/A
pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning	Unknown	PDF	N/A
Automated Multi-level Preference for MLLMs	Unknown	PDF	N/A
Multi-modal Transfer Learning between Biological Foundation Models	Unknown	PDF	N/A
MeshFormer : High-Quality Mesh Generation with 3D-Guided Reconstruction Model	Unknown	PDF	N/A
Quantum Algorithms for Non-smooth Non-convex Optimization	Unknown	PDF	N/A
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models	Unknown	PDF	N/A
SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors	Unknown	PDF	N/A
MoVA: Adapting Mixture of Vision Experts to Multimodal Context	Unknown	PDF	N/A
SPRINQL: Sub-optimal Demonstrations driven Offline Imitation Learning	Unknown	PDF	N/A
Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding	Unknown	PDF	N/A
Transformation-Invariant Learning and Theoretical Guarantees for OOD Generalization	Unknown	PDF	N/A
Learning to Reason via Program Generation, Emulation, and Search	Unknown	PDF	N/A
When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding	Unknown	PDF	N/A
EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer	Unknown	PDF	N/A
Improved Distribution Matching Distillation for Fast Image Synthesis	Unknown	PDF	N/A
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss	Unknown	PDF	N/A
Interpolating Item and User Fairness in Multi-Sided Recommendations	Unknown	PDF	N/A
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization	Unknown	PDF	N/A
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs	Unknown	PDF	N/A
HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation	Unknown	PDF	N/A
einspace: Searching for Neural Architectures from Fundamental Operations	Unknown	PDF	N/A
SnapKV: LLM Knows What You are Looking for Before Generation	Unknown	PDF	N/A
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs	Unknown	PDF	N/A
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models	Unknown	PDF	N/A
Zipfian Whitening	Unknown	PDF	N/A
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data	Unknown	PDF	N/A
OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries	Unknown	PDF	N/A
Classifier-guided Gradient Modulation for Enhanced Multimodal Learning	Unknown	PDF	N/A
A Label is Worth A Thousand Images in Dataset Distillation	Unknown	PDF	N/A
SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform	Unknown	PDF	N/A
A Layer-Wise Natural Gradient Optimizer for Training Deep Neural Networks	Unknown	PDF	N/A
Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution	Unknown	PDF	N/A
Phased Consistency Models	Unknown	PDF	N/A
Yo'LLaVA: Your Personalized Language and Vision Assistant	Unknown	PDF	N/A
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification	Unknown	PDF	N/A
AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents	Unknown	PDF	N/A
Deep Graph Mating	Unknown	PDF	N/A
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness	Unknown	PDF	N/A
ShowMaker: Creating High-Fidelity 2D Human Video via Fine-Grained Diffusion Modeling	Unknown	PDF	N/A
EMR-Merging: Tuning-Free High-Performance Model Merging	Unknown	PDF	N/A
Contextual Linear Optimization with Bandit Feedback	Unknown	PDF	N/A
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space	Unknown	PDF	N/A
On the Scalability of GNNs for Molecular Graphs	Unknown	PDF	N/A
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching	Unknown	PDF	N/A
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation	Unknown	PDF	N/A
General Detection-based Text Line Recognition	Unknown	PDF	N/A
Identifying Latent State-Transition Processes for Individualized Reinforcement Learning	Unknown	PDF	N/A
IllumiNeRF: 3D Relighting Without Inverse Rendering	Unknown	PDF	N/A
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms	Unknown	PDF	N/A
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs	Unknown	PDF	N/A
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback	Unknown	PDF	N/A
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness	Unknown	PDF	N/A
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling	Unknown	PDF	N/A
Public-data Assisted Private Stochastic Optimization: Power and Limitations	Unknown	PDF	N/A
Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT	Unknown	PDF	N/A
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore	Unknown	PDF	N/A
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery	Unknown	PDF	N/A
Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization	Unknown	PDF	N/A
Autoregressive Policy Optimization for Constrained Allocation Tasks	Unknown	PDF	N/A
An Equivalence Between Static and Dynamic Regret Minimization	Unknown	PDF	N/A
Action Imitation in Common Action Space for Customized Action Image Synthesis	Unknown	PDF	N/A
PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation	Unknown	PDF	N/A
Are We on the Right Way for Evaluating Large Vision-Language Models?	Unknown	PDF	N/A
Exploring Token Pruning in Vision State Space Models	Unknown	PDF	N/A
The Expressive Capacity of State Space Models: A Formal Language Perspective	Unknown	PDF	N/A
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models	Unknown	PDF	N/A
Robust Graph Neural Networks via Unbiased Aggregation	Unknown	PDF	N/A
LoFiT: Localized Fine-tuning on LLM Representations	Unknown	PDF	N/A
Neural Krylov Iteration for Accelerating Linear System Solving	Unknown	PDF	N/A
Improving Generalization and Convergence by Enhancing Implicit Regularization	Unknown	PDF	N/A
Causal discovery with endogenous context variables	Unknown	PDF	N/A
On Feature Learning in Structured State Space Models	Unknown	PDF	N/A
MoEUT: Mixture-of-Experts Universal Transformers	Unknown	PDF	N/A
Voila-A: Aligning Vision-Language Models with User's Gaze Attention	Unknown	PDF	N/A
DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification	Unknown	PDF	N/A
Cross-Device Collaborative Test-Time Adaptation	Unknown	PDF	N/A
Minimum Entropy Coupling with Bottleneck	Unknown	PDF	N/A
DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion	Unknown	PDF	N/A
Transformers Represent Belief State Geometry in their Residual Stream	Unknown	PDF	N/A
MoLE: Enhancing Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts	Unknown	PDF	N/A
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers	Unknown	PDF	N/A
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing	Unknown	PDF	N/A
Gradient Guidance for Diffusion Models: An Optimization Perspective	Unknown	PDF	N/A
MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning	Unknown	PDF	N/A
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs	Unknown	PDF	N/A
AlphaMath Almost Zero: Process Supervision without Process	Unknown	PDF	N/A
Learning from Offline Foundation Features with Tensor Augmentations	Unknown	PDF	N/A
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization	Unknown	PDF	N/A
Continual Counting with Gradual Privacy Expiration	Unknown	PDF	N/A
Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction	Unknown	PDF	N/A
A Closer Look at AUROC and AUPRC under Class Imbalance	Unknown	PDF	N/A
D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models	Unknown	PDF	N/A
3D Gaussian Splatting as Markov Chain Monte Carlo	Unknown	PDF	N/A
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding	Unknown	PDF	N/A
Interfacing Foundation Models' Embeddings	Unknown	PDF	N/A
Test Where Decisions Matter: Importance-driven Testing for Deep Reinforcement Learning	Unknown	PDF	N/A
CAT3D: Create Anything in 3D with Multi-View Diffusion Models	Unknown	PDF	N/A
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting	Unknown	PDF	N/A
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs	Unknown	PDF	N/A
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization	Unknown	PDF	N/A
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood	Unknown	PDF	N/A
SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization	Unknown	PDF	N/A
Optical Diffusion Models for Image Generation	Unknown	PDF	N/A
VideoTetris: Towards Compositional Text-to-Video Generation	Unknown	PDF	N/A
EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection	Unknown	PDF	N/A
Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification	Unknown	PDF	N/A
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval	Unknown	PDF	N/A
Extending Multi-modal Contrastive Representations	Unknown	PDF	N/A
L4GM: Large 4D Gaussian Reconstruction Model	Unknown	PDF	N/A
Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration	Unknown	PDF	N/A
GaussianCut: Interactive segmentation via graph cut for 3D Gaussian Splatting	Unknown	PDF	N/A
Multi-Instance Partial-Label Learning with Margin Adjustment	Unknown	PDF	N/A
Non-asymptotic Convergence of Training Transformers for Next-token Prediction	Unknown	PDF	N/A
Towards a theory of how the structure of language is acquired by deep neural networks	Unknown	PDF	N/A
MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation	Unknown	PDF	N/A
Equivariant spatio-hemispherical networks for diffusion MRI deconvolution	Unknown	PDF	N/A
Generating compositional scenes via Text-to-image RGBA Instance Generation	Unknown	PDF	N/A
DiffPhyCon: A Generative Approach to Control Complex Physical Systems	Unknown	PDF	N/A
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials	Unknown	PDF	N/A
Mind the Graph When Balancing Data for Fairness or Robustness	Unknown	PDF	N/A
Pessimistic Backward Policy for GFlowNets	Unknown	PDF	N/A
Simple and Effective Masked Diffusion Language Models	Unknown	PDF	N/A
Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps	Unknown	PDF	N/A
Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images	Unknown	PDF	N/A
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models	Unknown	PDF	N/A
Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination	Unknown	PDF	N/A
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation	Unknown	PDF	N/A
Poseidon: Efficient Foundation Models for PDEs	Unknown	PDF	N/A
HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors	Unknown	PDF	N/A
Dense Connector for MLLMs	Unknown	PDF	N/A
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables	Unknown	PDF	N/A
Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms	Unknown	PDF	N/A
Towards Understanding Evolving Patterns in Sequential Data	Unknown	PDF	N/A
HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting	Unknown	PDF	N/A
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters	Unknown	PDF	N/A
Neural Pfaffians: Solving Many Many-Electron Schrödinger Equations	Unknown	PDF	N/A
The Importance of Online Data: Understanding Preference Fine-tuning via Coverage	Unknown	PDF	N/A
Humanoid Locomotion as Next Token Prediction	Unknown	PDF	N/A
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning	Unknown	PDF	N/A
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation	Unknown	PDF	N/A
Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation	Unknown	PDF	N/A
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling	Unknown	PDF	N/A
UniAR: A Unified model for predicting human Attention and Responses on visual content	Unknown	PDF	N/A
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training	Unknown	PDF	N/A
Vision Foundation Model Enables Generalizable Object Pose Estimation	Unknown	PDF	N/A
Efficient Prompt Optimization Through the Lens of Best Arm Identification	Unknown	PDF	N/A
Base of RoPE Bounds Context Length	Unknown	PDF	N/A
On the Parameter Identifiability of Partially Observed Linear Causal Models	Unknown	PDF	N/A
Preference Alignment with Flow Matching	Unknown	PDF	N/A
RAGraph: A General Retrieval-Augmented Graph Learning Framework	Unknown	PDF	N/A
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability	Unknown	PDF	N/A
LuSh-NeRF: Lighting up and Sharpening NeRFs for Low-light Scenes	Unknown	PDF	N/A
Spatio-Spectral Graph Neural Networks	Unknown	PDF	N/A
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space	Unknown	PDF	N/A
The Surprising Effectiveness of SP Voting with Partial Preferences	Unknown	PDF	N/A
Mitigating Object Hallucination via Concentric Causal Attention	Unknown	PDF	N/A
Mind's Eye of LLMs: Visualization-of-Thought Elicits Spatial Reasoning in Large Language Models	Unknown	PDF	N/A
An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models	Unknown	PDF	N/A
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization	Unknown	PDF	N/A
Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA	Unknown	PDF	N/A
Many-Shot In-Context Learning	Unknown	PDF	N/A
MSPE: Multi-Scale Patch Embedding Prompts Vision Transformers to Any Resolution	Unknown	PDF	N/A
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning	Unknown	PDF	N/A
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees	Unknown	PDF	N/A
GO4Align: Group Optimization for Multi-Task Alignment	Unknown	PDF	N/A
Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry	Unknown	PDF	N/A
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction	Unknown	PDF	N/A
Efficient Adversarial Training in LLMs with Continuous Attacks	Unknown	PDF	N/A
Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning	Unknown	PDF	N/A
ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations	Unknown	PDF	N/A
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention	Unknown	PDF	N/A
QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos	Unknown	PDF	N/A
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path Aggregation	Unknown	PDF	N/A
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization	Unknown	PDF	N/A
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features	Unknown	PDF	N/A
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models	Unknown	PDF	N/A
PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding	Unknown	PDF	N/A
Energy-based Epistemic Uncertainty for Graph Neural Networks	Unknown	PDF	N/A
Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty	Unknown	PDF	N/A
MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models	Unknown	PDF	N/A
LION: Linear Group RNN for 3D Object Detection in Point Clouds	Unknown	PDF	N/A
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization	Unknown	PDF	N/A
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification	Unknown	PDF	N/A
Adaptable Logical Control for Large Language Models	Unknown	PDF	N/A
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation	Unknown	PDF	N/A
ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention	Unknown	PDF	N/A
Differentially Private Optimization with Sparse Gradients	Unknown	PDF	N/A
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain	Unknown	PDF	N/A
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training	Unknown	PDF	N/A
OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding	Unknown	PDF	N/A
Learning-Augmented Algorithms for the Bahncard Problem	Unknown	PDF	N/A
Geometric-Averaged Preference Optimization for Soft Preference Labels	Unknown	PDF	N/A
Bridging semantics and pragmatics in information-theoretic emergent communication	Unknown	PDF	N/A
Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma	Unknown	PDF	N/A
Exclusively Penalized Q-learning for Offline Reinforcement Learning	Unknown	PDF	N/A
Bayesian-guided Label Mapping for Visual Reprogramming	Unknown	PDF	N/A
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model	Unknown	PDF	N/A
Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models	Unknown	PDF	N/A
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning	Unknown	PDF	N/A
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions	Unknown	PDF	N/A
Learning-Augmented Algorithms with Explicit Predictors	Unknown	PDF	N/A
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning	Unknown	PDF	N/A
$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation	Unknown	PDF	N/A
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach	Unknown	PDF	N/A
Extracting Training Data from Molecular Pre-trained Models	Unknown	PDF	N/A
PTQ4DiT: Post-training Quantization for Diffusion Transformers	Unknown	PDF	N/A
Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems	Unknown	PDF	N/A
ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets	Unknown	PDF	N/A
Aligning Large Language Models with Representation Editing: A Control Perspective	Unknown	PDF	N/A
Scanning Trojaned Models Using Out-of-Distribution Samples	Unknown	PDF	N/A
Why are Visually-Grounded Language Models Bad at Image Classification?	Unknown	PDF	N/A
DataComp-LM: In search of the next generation of training sets for language models	Unknown	PDF	N/A
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups	Unknown	PDF	N/A
Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions	Unknown	PDF	N/A
Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search	Unknown	PDF	N/A
What makes unlearning hard and what to do about it	Unknown	PDF	N/A
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models	Unknown	PDF	N/A
Grammar-Aligned Decoding	Unknown	PDF	N/A